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Author SHA1 Message Date
Test User 29d6c8cb14 fix: enhance execution phase handling in ProjectStore
- Added logic to correct stale execution phases when a task reaches a terminal status (human_review, done, pr_created) but the persisted executionPhase is outdated.
- Improved the determination of execution progress to ensure accurate representation of task status, particularly for tasks that have transitioned from running to completed states.

These changes improve the reliability of task status updates and enhance user experience by ensuring accurate visual feedback on task execution phases.
2026-02-05 22:18:43 +01:00
Test User 01295eff99 adjust for claude mem 2026-02-05 22:18:25 +01:00
Test User a41e5a0eba fix: improve execution phase handling in ProjectStore and TaskCard components
- Updated ProjectStore to prioritize xstateState for execution phase determination, ensuring accurate task status representation.
- Enhanced TaskCard to only display execution phase badges for actively running tasks, preventing stale badges from appearing for recovered tasks.

These changes enhance the reliability of task status updates and improve user experience by ensuring accurate visual feedback on task execution phases.
2026-02-05 20:34:56 +01:00
Test User 5ed85e86ab feat: enhance Claude Code version checking with force refresh option
- Updated checkClaudeCodeVersion API to accept an optional forceRefresh parameter, allowing users to bypass the cache and fetch fresh data from npm.
- Modified related components to support the new parameter, enabling a manual refresh of the Claude Code version.
- Improved user experience by providing immediate feedback on version checks, especially when the user explicitly requests a refresh.

This change enhances the flexibility of version management for the Claude Code CLI.
2026-02-05 20:10:54 +01:00
Test User 071379a109 feat: enhance task management by implementing maxParallelTasks limit in startTask function
- Updated startTask function to respect maxParallelTasks setting, queuing tasks if the limit is reached.
- Integrated project store to retrieve project-specific settings.
- Added logic to count current in-progress tasks and conditionally queue tasks based on the maxParallelTasks configuration.

This change improves task handling efficiency and prevents overload during concurrent task execution.
2026-02-05 19:47:34 +01:00
263 changed files with 9016 additions and 26071 deletions
-1
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@@ -7,7 +7,6 @@
Thumbs.db
ehthumbs.db
Desktop.ini
nul
# ===========================
# Security - Environment & Secrets
+54 -40
View File
@@ -1,36 +1,52 @@
#!/bin/sh
# =============================================================================
# GIT WORKTREE ENVIRONMENT CLEANUP
# GIT WORKTREE CONTEXT HANDLING
# =============================================================================
# Git automatically sets GIT_DIR (and CWD to the working tree root) before
# running hooks -- even in worktrees. We do NOT need to manually parse .git
# files or export GIT_DIR/GIT_WORK_TREE.
# When running in a worktree, we need to preserve git context to prevent HEAD
# corruption. However, we must also CLEAR these variables when NOT in a worktree
# to prevent cross-worktree contamination (files leaking between worktrees).
#
# However, external tools (IDEs, agents, parent shells) may leave stale
# GIT_DIR/GIT_WORK_TREE values in the environment. If these point to a
# different repo or worktree, git commands in this hook would target the
# wrong repository. Unsetting them lets git re-resolve the correct values
# from the working directory.
# The bug: If GIT_DIR/GIT_WORK_TREE are set from a previous worktree session
# and this hook runs in the main repo (where .git is a directory, not a file),
# git commands will target the wrong repository, causing files to appear as
# untracked in the wrong location.
#
# Fix: Explicitly unset these variables when NOT in a worktree context.
# =============================================================================
unset GIT_DIR
unset GIT_WORK_TREE
if [ -f ".git" ]; then
# We're in a worktree (.git is a file pointing to the actual git dir)
# Use -n with /p to only print lines that match the gitdir: prefix, head -1 for safety
WORKTREE_GIT_DIR=$(sed -n 's/^gitdir: //p' .git | head -1)
if [ -n "$WORKTREE_GIT_DIR" ] && [ -d "$WORKTREE_GIT_DIR" ]; then
export GIT_DIR="$WORKTREE_GIT_DIR"
export GIT_WORK_TREE="$(pwd)"
else
# .git file exists but is malformed or points to non-existent directory
# CRITICAL: Clear any inherited GIT_DIR/GIT_WORK_TREE to prevent cross-worktree leakage
unset GIT_DIR
unset GIT_WORK_TREE
fi
else
# We're in the main repo (.git is a directory)
# CRITICAL: Clear any inherited GIT_DIR/GIT_WORK_TREE to prevent cross-worktree leakage
unset GIT_DIR
unset GIT_WORK_TREE
fi
# =============================================================================
# SAFETY CHECK: Detect and fix corrupted core.worktree configuration
# =============================================================================
# core.worktree lives in the SHARED .git/config (not per-worktree). If any
# process accidentally writes it (e.g., running `git init` with a leaked
# GIT_WORK_TREE), ALL repos and worktrees see the wrong working tree root,
# causing files from one worktree to "leak" into others.
#
# This check runs from both main repo and worktree contexts since the config
# is shared and corruption can happen from either.
CORE_WORKTREE=$(git config --get core.worktree 2>/dev/null || true)
if [ -n "$CORE_WORKTREE" ]; then
echo "Warning: Detected corrupted core.worktree setting ('$CORE_WORKTREE'), removing it..."
if ! git config --unset core.worktree 2>/dev/null; then
echo "Warning: Failed to unset core.worktree. Manual intervention may be needed."
# If core.worktree is set in the main repo's config (pointing to a worktree),
# this indicates previous corruption. Fix it automatically.
if [ ! -f ".git" ]; then
CORE_WORKTREE=$(git config --get core.worktree 2>/dev/null || true)
if [ -n "$CORE_WORKTREE" ]; then
echo "Warning: Detected corrupted core.worktree setting, removing it..."
if ! git config --unset core.worktree 2>/dev/null; then
echo "Warning: Failed to unset core.worktree. Manual intervention may be needed."
fi
fi
fi
@@ -162,39 +178,37 @@ if git diff --cached --name-only | grep -q "^apps/backend/.*\.py$"; then
fi
# Run pytest (skip slow/integration tests and Windows-incompatible tests for pre-commit speed)
# Run from repo root (not apps/backend) so tests that use Path.resolve() get correct CWD.
# PYTHONPATH includes apps/backend so imports resolve correctly.
# Use subshell to isolate directory changes and prevent worktree corruption
echo "Running Python tests..."
(
cd apps/backend
# Tests to skip: graphiti (external deps), merge_file_tracker/service_orchestrator/worktree/workspace (Windows path/git issues)
# Also skip tests that require optional dependencies (pydantic structured outputs)
# Also skip gitlab_e2e (e2e test sensitive to test-ordering env contamination, validated by CI)
IGNORE_TESTS="--ignore=tests/test_graphiti.py --ignore=tests/test_merge_file_tracker.py --ignore=tests/test_service_orchestrator.py --ignore=tests/test_worktree.py --ignore=tests/test_workspace.py --ignore=tests/test_finding_validation.py --ignore=tests/test_sdk_structured_output.py --ignore=tests/test_structured_outputs.py --ignore=tests/test_gitlab_e2e.py"
IGNORE_TESTS="--ignore=../../tests/test_graphiti.py --ignore=../../tests/test_merge_file_tracker.py --ignore=../../tests/test_service_orchestrator.py --ignore=../../tests/test_worktree.py --ignore=../../tests/test_workspace.py --ignore=../../tests/test_finding_validation.py --ignore=../../tests/test_sdk_structured_output.py --ignore=../../tests/test_structured_outputs.py"
# Determine Python executable from venv
VENV_PYTHON=""
if [ -f "apps/backend/.venv/bin/python" ]; then
VENV_PYTHON="apps/backend/.venv/bin/python"
elif [ -f "apps/backend/.venv/Scripts/python.exe" ]; then
VENV_PYTHON="apps/backend/.venv/Scripts/python.exe"
if [ -f ".venv/bin/python" ]; then
VENV_PYTHON=".venv/bin/python"
elif [ -f ".venv/Scripts/python.exe" ]; then
VENV_PYTHON=".venv/Scripts/python.exe"
fi
# -k "not windows_path": skip tests using fake Windows paths that break
# Path.resolve() on macOS/Linux. These are validated by CI on all platforms.
if [ -n "$VENV_PYTHON" ]; then
# Check if pytest is installed in venv
if $VENV_PYTHON -c "import pytest" 2>/dev/null; then
PYTHONPATH=apps/backend $VENV_PYTHON -m pytest tests/ -v --tb=short -x -m "not slow and not integration" -k "not windows_path" $IGNORE_TESTS
PYTHONPATH=. $VENV_PYTHON -m pytest ../../tests/ -v --tb=short -x -m "not slow and not integration" $IGNORE_TESTS
else
echo "Warning: pytest not installed in venv. Installing test dependencies..."
$VENV_PYTHON -m pip install -q -r tests/requirements-test.txt
PYTHONPATH=apps/backend $VENV_PYTHON -m pytest tests/ -v --tb=short -x -m "not slow and not integration" -k "not windows_path" $IGNORE_TESTS
$VENV_PYTHON -m pip install -q -r ../../tests/requirements-test.txt
PYTHONPATH=. $VENV_PYTHON -m pytest ../../tests/ -v --tb=short -x -m "not slow and not integration" $IGNORE_TESTS
fi
elif [ -d "apps/backend/.venv" ]; then
elif [ -d ".venv" ]; then
echo "Warning: venv exists but Python not found in it, using system Python"
PYTHONPATH=apps/backend python -m pytest tests/ -v --tb=short -x -m "not slow and not integration" -k "not windows_path" $IGNORE_TESTS
PYTHONPATH=. python -m pytest ../../tests/ -v --tb=short -x -m "not slow and not integration" $IGNORE_TESTS
else
echo "Warning: No .venv found in apps/backend, using system Python"
PYTHONPATH=apps/backend python -m pytest tests/ -v --tb=short -x -m "not slow and not integration" -k "not windows_path" $IGNORE_TESTS
PYTHONPATH=. python -m pytest ../../tests/ -v --tb=short -x -m "not slow and not integration" $IGNORE_TESTS
fi
)
if [ $? -ne 0 ]; then
-2
View File
@@ -74,8 +74,6 @@
### 🐛 Bug Fixes
- Fixed task logs disappearing after app restart in development mode (issue #1657)
- Fixed Kanban board status flip-flopping and multi-location task deletion
- Fixed Windows CLI detection and version selection UX issues
+11
View File
@@ -40,6 +40,17 @@ Auto Claude is a desktop application (+ CLI) where users describe a goal and AI
**PR target** — Always target the `develop` branch for PRs to AndyMik90/Auto-Claude, NOT `main`.
## Memory (claude-mem)
This project uses claude-mem for persistent memory across sessions. MCP search tools are available — use them proactively:
- **Before modifying code** — Search for past work on the same files/features: `search(query="<file or feature>")`. Check if there are known bugs, decisions, or patterns to follow.
- **When debugging** — Search for prior encounters with the same error or symptom: `search(query="<error message>", type="bugfix")`.
- **When making architectural decisions** — Check for past decisions: `search(query="<topic>", type="decision")`.
- **When resuming work** — Use `timeline(anchor=<recent_id>)` to understand where things left off.
Follow the 3-layer workflow: `search` (cheap index) → `timeline` (context) → `get_observations` (full details only for relevant IDs). Never fetch full details without filtering first.
## Project Structure
```
+7 -7
View File
@@ -35,18 +35,18 @@
> ⚠️ Beta releases may contain bugs and breaking changes. [View all releases](https://github.com/AndyMik90/Auto-Claude/releases)
<!-- BETA_VERSION_BADGE -->
[![Beta](https://img.shields.io/badge/beta-2.7.6--beta.3-orange?style=flat-square)](https://github.com/AndyMik90/Auto-Claude/releases/tag/v2.7.6-beta.3)
[![Beta](https://img.shields.io/badge/beta-2.7.6--beta.2-orange?style=flat-square)](https://github.com/AndyMik90/Auto-Claude/releases/tag/v2.7.6-beta.2)
<!-- BETA_VERSION_BADGE_END -->
<!-- BETA_DOWNLOADS -->
| Platform | Download |
|----------|----------|
| **Windows** | [Auto-Claude-2.7.6-beta.3-win32-x64.exe](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.3/Auto-Claude-2.7.6-beta.3-win32-x64.exe) |
| **macOS (Apple Silicon)** | [Auto-Claude-2.7.6-beta.3-darwin-arm64.dmg](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.3/Auto-Claude-2.7.6-beta.3-darwin-arm64.dmg) |
| **macOS (Intel)** | [Auto-Claude-2.7.6-beta.3-darwin-x64.dmg](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.3/Auto-Claude-2.7.6-beta.3-darwin-x64.dmg) |
| **Linux** | [Auto-Claude-2.7.6-beta.3-linux-x86_64.AppImage](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.3/Auto-Claude-2.7.6-beta.3-linux-x86_64.AppImage) |
| **Linux (Debian)** | [Auto-Claude-2.7.6-beta.3-linux-amd64.deb](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.3/Auto-Claude-2.7.6-beta.3-linux-amd64.deb) |
| **Linux (Flatpak)** | [Auto-Claude-2.7.6-beta.3-linux-x86_64.flatpak](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.3/Auto-Claude-2.7.6-beta.3-linux-x86_64.flatpak) |
| **Windows** | [Auto-Claude-2.7.6-beta.2-win32-x64.exe](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.2/Auto-Claude-2.7.6-beta.2-win32-x64.exe) |
| **macOS (Apple Silicon)** | [Auto-Claude-2.7.6-beta.2-darwin-arm64.dmg](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.2/Auto-Claude-2.7.6-beta.2-darwin-arm64.dmg) |
| **macOS (Intel)** | [Auto-Claude-2.7.6-beta.2-darwin-x64.dmg](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.2/Auto-Claude-2.7.6-beta.2-darwin-x64.dmg) |
| **Linux** | [Auto-Claude-2.7.6-beta.2-linux-x86_64.AppImage](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.2/Auto-Claude-2.7.6-beta.2-linux-x86_64.AppImage) |
| **Linux (Debian)** | [Auto-Claude-2.7.6-beta.2-linux-amd64.deb](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.2/Auto-Claude-2.7.6-beta.2-linux-amd64.deb) |
| **Linux (Flatpak)** | [Auto-Claude-2.7.6-beta.2-linux-x86_64.flatpak](https://github.com/AndyMik90/Auto-Claude/releases/download/v2.7.6-beta.2/Auto-Claude-2.7.6-beta.2-linux-x86_64.flatpak) |
<!-- BETA_DOWNLOADS_END -->
> All releases include SHA256 checksums and VirusTotal scan results for security verification.
+2 -2
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@@ -32,8 +32,8 @@
# API_TIMEOUT_MS=600000
# Model override (OPTIONAL)
# Default: claude-opus-4-6
# AUTO_BUILD_MODEL=claude-opus-4-6
# Default: claude-opus-4-5-20251101
# AUTO_BUILD_MODEL=claude-opus-4-5-20251101
# =============================================================================
+1 -1
View File
@@ -19,5 +19,5 @@ Quick Start:
See README.md for full documentation.
"""
__version__ = "2.7.6-beta.3"
__version__ = "2.7.6-beta.2"
__author__ = "Auto Claude Team"
-3
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@@ -15,9 +15,6 @@ logger = logging.getLogger(__name__)
AUTO_CONTINUE_DELAY_SECONDS = 3
HUMAN_INTERVENTION_FILE = "PAUSE"
# Retry configuration for subtask execution
MAX_SUBTASK_RETRIES = 5 # Maximum attempts before marking subtask as stuck
# Retry configuration for 400 tool concurrency errors
MAX_CONCURRENCY_RETRIES = 5 # Maximum number of retries for tool concurrency errors
INITIAL_RETRY_DELAY_SECONDS = (
+12 -145
View File
@@ -21,12 +21,7 @@ from linear_updater import (
linear_task_started,
linear_task_stuck,
)
from phase_config import (
get_fast_mode,
get_phase_client_thinking_kwargs,
get_phase_model,
get_phase_model_betas,
)
from phase_config import get_phase_model, get_phase_thinking_budget
from phase_event import ExecutionPhase, emit_phase
from progress import (
count_subtasks,
@@ -74,7 +69,6 @@ from .base import (
MAX_CONCURRENCY_RETRIES,
MAX_RATE_LIMIT_WAIT_SECONDS,
MAX_RETRY_DELAY_SECONDS,
MAX_SUBTASK_RETRIES,
RATE_LIMIT_CHECK_INTERVAL_SECONDS,
RATE_LIMIT_PAUSE_FILE,
RESUME_FILE,
@@ -93,60 +87,6 @@ from .utils import (
logger = logging.getLogger(__name__)
# =============================================================================
# FILE VALIDATION UTILITIES
# =============================================================================
def validate_subtask_files(subtask: dict, project_dir: Path) -> dict:
"""
Validate all files_to_modify exist before subtask execution.
Args:
subtask: Subtask dictionary containing files_to_modify array
project_dir: Root directory of the project
Returns:
dict with:
- success (bool): True if all files exist
- error (str): Error message if validation fails
- missing_files (list): List of missing file paths
- invalid_paths (list): List of paths that resolve outside the project
- suggestion (str): Actionable suggestion for resolution
"""
missing_files = []
invalid_paths = []
resolved_project = Path(project_dir).resolve()
for file_path in subtask.get("files_to_modify", []):
full_path = (resolved_project / file_path).resolve()
if not full_path.is_relative_to(resolved_project):
invalid_paths.append(file_path)
continue
if not full_path.exists():
missing_files.append(file_path)
if invalid_paths:
return {
"success": False,
"error": f"Paths resolve outside project boundary: {', '.join(invalid_paths)}",
"missing_files": missing_files,
"invalid_paths": invalid_paths,
"suggestion": "Update implementation plan to use paths within the project directory",
}
if missing_files:
return {
"success": False,
"error": f"Planned files do not exist: {', '.join(missing_files)}",
"missing_files": missing_files,
"invalid_paths": [],
"suggestion": "Update implementation plan with correct filenames or create missing files",
}
return {"success": True, "missing_files": [], "invalid_paths": []}
def _check_and_clear_resume_file(
resume_file: Path,
pause_file: Path,
@@ -584,28 +524,20 @@ async def run_autonomous_agent(
# first_run means we're in planning phase, otherwise coding phase
current_phase = "planning" if first_run else "coding"
phase_model = get_phase_model(spec_dir, current_phase, model)
phase_betas = get_phase_model_betas(spec_dir, current_phase, model)
thinking_kwargs = get_phase_client_thinking_kwargs(
spec_dir, current_phase, phase_model
phase_thinking_budget = get_phase_thinking_budget(spec_dir, current_phase)
# Create client (fresh context) with phase-specific model and thinking
# Use appropriate agent_type for correct tool permissions and thinking budget
client = create_client(
project_dir,
spec_dir,
phase_model,
agent_type="planner" if first_run else "coder",
max_thinking_tokens=phase_thinking_budget,
)
# Generate appropriate prompt
fast_mode = get_fast_mode(spec_dir)
logger.info(
f"[Coder] [Fast Mode] {'ENABLED' if fast_mode else 'disabled'} for phase={current_phase}"
)
if first_run:
# Create client for planning phase
client = create_client(
project_dir,
spec_dir,
phase_model,
agent_type="planner",
betas=phase_betas,
fast_mode=fast_mode,
**thinking_kwargs,
)
prompt = generate_planner_prompt(spec_dir, project_dir)
if planning_retry_context:
prompt += "\n\n" + planning_retry_context
@@ -683,70 +615,6 @@ async def run_autonomous_agent(
print("No pending subtasks found - build may be complete!")
break
# Validate that all files_to_modify exist before attempting execution
# This prevents infinite retry loops when implementation plan references non-existent files
validation_result = validate_subtask_files(next_subtask, project_dir)
if not validation_result["success"]:
# File validation failed - record error and skip session
error_msg = validation_result["error"]
suggestion = validation_result.get("suggestion", "")
print()
print_status(f"File validation failed: {error_msg}", "error")
if suggestion:
print(muted(f"Suggestion: {suggestion}"))
print()
# Record the validation failure in recovery manager
recovery_manager.record_attempt(
subtask_id=subtask_id,
session=iteration,
success=False,
approach="File validation failed before execution",
error=error_msg,
)
# Log the validation failure
if task_logger:
task_logger.log_error(
f"File validation failed: {error_msg}", LogPhase.CODING
)
# Check if subtask has exceeded max retries
attempt_count = recovery_manager.get_attempt_count(subtask_id)
if attempt_count >= MAX_SUBTASK_RETRIES:
recovery_manager.mark_subtask_stuck(
subtask_id,
f"File validation failed after {attempt_count} attempts: {error_msg}",
)
print_status(
f"Subtask {subtask_id} marked as STUCK after {attempt_count} failed validation attempts",
"error",
)
print(
muted(
"Consider: update implementation plan with correct filenames"
)
)
# Update status
status_manager.update(state=BuildState.ERROR)
# Small delay before retry
await asyncio.sleep(AUTO_CONTINUE_DELAY_SECONDS)
continue # Skip to next iteration
# Create client for coding phase (after file validation passes)
client = create_client(
project_dir,
spec_dir,
phase_model,
agent_type="coder",
betas=phase_betas,
fast_mode=fast_mode,
**thinking_kwargs,
)
# Get attempt count for recovery context
attempt_count = recovery_manager.get_attempt_count(subtask_id)
recovery_hints = (
@@ -862,12 +730,11 @@ async def run_autonomous_agent(
linear_enabled=linear_is_enabled,
status_manager=status_manager,
source_spec_dir=source_spec_dir,
error_info=error_info,
)
# Check for stuck subtasks
attempt_count = recovery_manager.get_attempt_count(subtask_id)
if not success and attempt_count >= MAX_SUBTASK_RETRIES:
if not success and attempt_count >= 3:
recovery_manager.mark_subtask_stuck(
subtask_id, f"Failed after {attempt_count} attempts"
)
+3 -18
View File
@@ -9,12 +9,7 @@ import logging
from pathlib import Path
from core.client import create_client
from phase_config import (
get_fast_mode,
get_phase_client_thinking_kwargs,
get_phase_model,
get_phase_model_betas,
)
from phase_config import get_phase_model, get_phase_thinking_budget
from phase_event import ExecutionPhase, emit_phase
from task_logger import (
LogPhase,
@@ -99,22 +94,12 @@ async def run_followup_planner(
# Create client with phase-specific model and thinking budget
# Respects task_metadata.json configuration when no CLI override
planning_model = get_phase_model(spec_dir, "planning", model)
planning_betas = get_phase_model_betas(spec_dir, "planning", model)
thinking_kwargs = get_phase_client_thinking_kwargs(
spec_dir, "planning", planning_model
)
fast_mode = get_fast_mode(spec_dir)
logger.info(
f"[Planner] [Fast Mode] {'ENABLED' if fast_mode else 'disabled'} for follow-up planning"
)
planning_thinking_budget = get_phase_thinking_budget(spec_dir, "planning")
client = create_client(
project_dir,
spec_dir,
planning_model,
agent_type="planner",
betas=planning_betas,
fast_mode=fast_mode,
**thinking_kwargs,
max_thinking_tokens=planning_thinking_budget,
)
# Generate follow-up planner prompt
+105 -121
View File
@@ -7,15 +7,10 @@ memory updates, recovery tracking, and Linear integration.
"""
import logging
import re
from pathlib import Path
from claude_agent_sdk import ClaudeSDKClient
from core.error_utils import (
is_authentication_error,
is_rate_limit_error,
is_tool_concurrency_error,
)
from core.file_utils import write_json_atomic
from debug import debug, debug_detailed, debug_error, debug_section, debug_success
from insight_extractor import extract_session_insights
from linear_updater import (
@@ -26,7 +21,7 @@ from progress import (
count_subtasks_detailed,
is_build_complete,
)
from recovery import RecoveryManager, check_and_recover, reset_subtask
from recovery import RecoveryManager
from security.tool_input_validator import get_safe_tool_input
from task_logger import (
LogEntryType,
@@ -53,36 +48,113 @@ from .utils import (
logger = logging.getLogger(__name__)
def _execute_recovery_action(
recovery_action,
recovery_manager: RecoveryManager,
spec_dir: Path,
project_dir: Path,
subtask_id: str,
) -> None:
"""Execute a recovery action (rollback/retry/skip/escalate)."""
if not recovery_action:
return
def is_tool_concurrency_error(error: Exception) -> bool:
"""
Check if an error is a 400 tool concurrency error from Claude API.
print_status(f"Recovery action: {recovery_action.action}", "info")
print_status(f"Reason: {recovery_action.reason}", "info")
Tool concurrency errors occur when too many tools are used simultaneously
in a single API request, hitting Claude's concurrent tool use limit.
if recovery_action.action == "rollback":
print_status(f"Rolling back to {recovery_action.target[:8]}", "warning")
if recovery_manager.rollback_to_commit(recovery_action.target):
print_status("Rollback successful", "success")
else:
print_status("Rollback failed", "error")
Args:
error: The exception to check
elif recovery_action.action == "retry":
print_status(f"Resetting subtask {subtask_id} for retry", "info")
reset_subtask(spec_dir, project_dir, subtask_id)
print_status("Subtask reset - will retry with different approach", "success")
Returns:
True if this is a tool concurrency error, False otherwise
"""
error_str = str(error).lower()
# Check for 400 status AND tool concurrency keywords
return "400" in error_str and (
("tool" in error_str and "concurrency" in error_str)
or "too many tools" in error_str
or "concurrent tool" in error_str
)
elif recovery_action.action in ("skip", "escalate"):
print_status(f"Marking subtask {subtask_id} as stuck", "warning")
recovery_manager.mark_subtask_stuck(subtask_id, recovery_action.reason)
print_status("Subtask marked for human intervention", "warning")
def is_rate_limit_error(error: Exception) -> bool:
"""
Check if an error is a rate limit error (429 or similar).
Rate limit errors occur when the API usage quota is exceeded,
either for session limits or weekly limits.
Args:
error: The exception to check
Returns:
True if this is a rate limit error, False otherwise
"""
error_str = str(error).lower()
# Check for HTTP 429 with word boundaries to avoid false positives
if re.search(r"\b429\b", error_str):
return True
# Check for other rate limit indicators
return any(
p in error_str
for p in [
"limit reached",
"rate limit",
"too many requests",
"usage limit",
"quota exceeded",
]
)
def is_authentication_error(error: Exception) -> bool:
"""
Check if an error is an authentication error (401, token expired, etc.).
Authentication errors occur when OAuth tokens are invalid, expired,
or have been revoked (e.g., after token refresh on another process).
Validation approach:
- HTTP 401 status code is checked with word boundaries to minimize false positives
- Additional string patterns are validated against lowercase error messages
- Patterns are designed to match known Claude API and OAuth error formats
Known false positive risks:
- Generic error messages containing "unauthorized" or "access denied" may match
even if not related to authentication (e.g., file permission errors)
- Error messages containing these keywords in user-provided content could match
- Mitigation: HTTP 401 check provides strong signal; string patterns are secondary
Real-world validation:
- Pattern matching has been tested against actual Claude API error responses
- False positive rate is acceptable given the recovery mechanism (prompt user to re-auth)
- If false positive occurs, user can simply resume without re-authenticating
Args:
error: The exception to check
Returns:
True if this is an authentication error, False otherwise
"""
error_str = str(error).lower()
# Check for HTTP 401 with word boundaries to avoid false positives
if re.search(r"\b401\b", error_str):
return True
# Check for other authentication indicators
# NOTE: "authentication failed" and "authentication error" are more specific patterns
# to reduce false positives from generic "authentication" mentions
return any(
p in error_str
for p in [
"authentication failed",
"authentication error",
"unauthorized",
"invalid token",
"token expired",
"authentication_error",
"invalid_token",
"token_expired",
"not authenticated",
"http 401",
]
)
async def post_session_processing(
@@ -96,7 +168,6 @@ async def post_session_processing(
linear_enabled: bool = False,
status_manager: StatusManager | None = None,
source_spec_dir: Path | None = None,
error_info: dict | None = None,
) -> bool:
"""
Process session results and update memory automatically.
@@ -114,7 +185,6 @@ async def post_session_processing(
linear_enabled: Whether Linear integration is enabled
status_manager: Optional status manager for ccstatusline
source_spec_dir: Original spec directory (for syncing back from worktree)
error_info: Error information from run_agent_session (for rate limit detection)
Returns:
True if subtask was completed successfully
@@ -246,77 +316,6 @@ async def post_session_processing(
error="Subtask not marked as completed",
)
# Check if this was a concurrency error - if so, reset subtask to pending for retry
is_concurrency_error = (
error_info and error_info.get("type") == "tool_concurrency"
)
if is_concurrency_error:
print_status(
f"Rate limit detected - resetting subtask {subtask_id} to pending for retry",
"info",
)
# Use recovery system's reset_subtask for consistency
reset_subtask(spec_dir, project_dir, subtask_id)
# Also reset in implementation plan
plan = load_implementation_plan(spec_dir)
if plan:
# Find and reset the subtask
subtask_found = False
for phase in plan.get("phases", []):
for subtask in phase.get("subtasks", []):
if subtask.get("id") == subtask_id:
# Reset subtask to pending state
subtask["status"] = "pending"
subtask["started_at"] = None
subtask["completed_at"] = None
subtask_found = True
break
if subtask_found:
break
if subtask_found:
# Save plan atomically to prevent corruption
try:
plan_path = spec_dir / "implementation_plan.json"
write_json_atomic(plan_path, plan, indent=2)
print_status(
f"Subtask {subtask_id} reset to pending status", "success"
)
except Exception as e:
logger.error(
f"Failed to save implementation plan after reset: {e}"
)
print_status("Failed to save plan after reset", "error")
else:
print_status(
f"Warning: Could not find subtask {subtask_id} in plan",
"warning",
)
else:
print_status(
"Warning: Could not load implementation plan for reset", "warning"
)
else:
# Non-rate-limit error - use automatic recovery flow
error_message = (
error_info.get("message", "Subtask not marked as completed")
if error_info
else "Subtask not marked as completed"
)
recovery_action = check_and_recover(
spec_dir=spec_dir,
project_dir=project_dir,
subtask_id=subtask_id,
error=error_message,
)
_execute_recovery_action(
recovery_action, recovery_manager, spec_dir, project_dir, subtask_id
)
# Still record commit if one was made (partial progress)
if commit_after and commit_after != commit_before:
recovery_manager.record_good_commit(commit_after, subtask_id)
@@ -380,21 +379,6 @@ async def post_session_processing(
error=f"Subtask status is {subtask_status}",
)
# Automatic recovery flow - determine and execute recovery action
error_message = f"Subtask status is {subtask_status}"
if error_info:
error_message = error_info.get("message", error_message)
recovery_action = check_and_recover(
spec_dir=spec_dir,
project_dir=project_dir,
subtask_id=subtask_id,
error=error_message,
)
_execute_recovery_action(
recovery_action, recovery_manager, spec_dir, project_dir, subtask_id
)
# Record Linear session result (if enabled)
if linear_enabled:
attempt_count = recovery_manager.get_attempt_count(subtask_id)
+159
View File
@@ -0,0 +1,159 @@
#!/usr/bin/env python3
"""
Verification script for agent module refactoring.
This script verifies that:
1. All modules can be imported
2. All public API functions are accessible
3. Backwards compatibility is maintained
"""
import sys
from pathlib import Path
# Add parent directory to path
sys.path.insert(0, str(Path(__file__).parent.parent))
def test_imports():
"""Test that all modules can be imported."""
print("Testing module imports...")
# Test base module
from agents import base
assert hasattr(base, "AUTO_CONTINUE_DELAY_SECONDS")
assert hasattr(base, "HUMAN_INTERVENTION_FILE")
print(" ✓ agents.base")
# Test utils module
from agents import utils
assert hasattr(utils, "get_latest_commit")
assert hasattr(utils, "load_implementation_plan")
print(" ✓ agents.utils")
# Test memory module
from agents import memory
assert hasattr(memory, "save_session_memory")
assert hasattr(memory, "get_graphiti_context")
print(" ✓ agents.memory")
# Test session module
from agents import session
assert hasattr(session, "run_agent_session")
assert hasattr(session, "post_session_processing")
print(" ✓ agents.session")
# Test planner module
from agents import planner
assert hasattr(planner, "run_followup_planner")
print(" ✓ agents.planner")
# Test coder module
from agents import coder
assert hasattr(coder, "run_autonomous_agent")
print(" ✓ agents.coder")
print("\n✓ All module imports successful!\n")
def test_public_api():
"""Test that the public API is accessible."""
print("Testing public API...")
# Test main agent module exports
import agents
required_functions = [
"run_autonomous_agent",
"run_followup_planner",
"save_session_memory",
"get_graphiti_context",
"run_agent_session",
"post_session_processing",
"get_latest_commit",
"load_implementation_plan",
]
for func_name in required_functions:
assert hasattr(agents, func_name), f"Missing function: {func_name}"
print(f" ✓ agents.{func_name}")
print("\n✓ All public API functions accessible!\n")
def test_backwards_compatibility():
"""Test that the old agent.py facade maintains backwards compatibility."""
print("Testing backwards compatibility...")
# Test that agent.py can be imported
import agent
required_functions = [
"run_autonomous_agent",
"run_followup_planner",
"save_session_memory",
"save_session_to_graphiti",
"run_agent_session",
"post_session_processing",
]
for func_name in required_functions:
assert hasattr(agent, func_name), (
f"Missing function in agent module: {func_name}"
)
print(f" ✓ agent.{func_name}")
print("\n✓ Backwards compatibility maintained!\n")
def test_module_structure():
"""Test that the module structure is correct."""
print("Testing module structure...")
from pathlib import Path
agents_dir = Path(__file__).parent
required_files = [
"__init__.py",
"base.py",
"utils.py",
"memory.py",
"session.py",
"planner.py",
"coder.py",
]
for filename in required_files:
filepath = agents_dir / filename
assert filepath.exists(), f"Missing file: {filename}"
print(f" ✓ agents/{filename}")
print("\n✓ Module structure correct!\n")
if __name__ == "__main__":
try:
test_module_structure()
test_imports()
test_public_api()
test_backwards_compatibility()
print("=" * 60)
print("✓ ALL TESTS PASSED - Refactoring verified!")
print("=" * 60)
except AssertionError as e:
print(f"\n✗ TEST FAILED: {e}")
sys.exit(1)
except ImportError as e:
print(f"\n✗ IMPORT ERROR: {e}")
print("Note: Some imports may fail due to missing dependencies.")
print("This is expected in test environments.")
sys.exit(0) # Don't fail on import errors (expected in test env)
+7 -7
View File
@@ -46,7 +46,7 @@ TOOL_UPDATE_QA_STATUS = "mcp__auto-claude__update_qa_status"
# Context7 MCP tools for documentation lookup (always enabled)
CONTEXT7_TOOLS = [
"mcp__context7__resolve-library-id",
"mcp__context7__query-docs",
"mcp__context7__get-library-docs",
]
# Linear MCP tools for project management (when LINEAR_API_KEY is set)
@@ -158,7 +158,7 @@ AGENT_CONFIGS = {
"tools": BASE_READ_TOOLS,
"mcp_servers": [], # Self-critique, no external tools
"auto_claude_tools": [],
"thinking_default": "high",
"thinking_default": "ultrathink",
},
"spec_discovery": {
"tools": BASE_READ_TOOLS + WEB_TOOLS,
@@ -210,7 +210,7 @@ AGENT_CONFIGS = {
TOOL_RECORD_GOTCHA,
TOOL_GET_SESSION_CONTEXT,
],
"thinking_default": "low", # Coding uses minimal thinking (effort: low for Opus, 1024 tokens for Sonnet/Haiku)
"thinking_default": "none", # Coding doesn't use extended thinking
},
# ═══════════════════════════════════════════════════════════════════════
# QA PHASES (Read + test + browser + Graphiti memory)
@@ -247,9 +247,9 @@ AGENT_CONFIGS = {
"tools": BASE_READ_TOOLS + WEB_TOOLS,
"mcp_servers": [],
"auto_claude_tools": [],
# Note: Default to "low" for minimal thinking overhead
# Haiku doesn't support thinking; create_simple_client() handles this
"thinking_default": "low",
# Note: Default to "none" because insight_extractor uses Haiku which doesn't support thinking
# If using Sonnet/Opus models, override max_thinking_tokens in create_simple_client()
"thinking_default": "none",
},
"merge_resolver": {
"tools": [], # Text-only analysis
@@ -524,7 +524,7 @@ def get_default_thinking_level(agent_type: str) -> str:
agent_type: The agent type identifier
Returns:
Thinking level string (low, medium, high)
Thinking level string (none, low, medium, high, ultrathink)
"""
config = get_agent_config(agent_type)
return config.get("thinking_default", "medium")
+2 -3
View File
@@ -23,8 +23,7 @@ from .ci_discovery import CIDiscovery
from .project_analyzer import ProjectAnalyzer
from .risk_classifier import RiskClassifier
from .security_scanner import SecurityScanner
# TestDiscovery was removed - tests are now co-located in their respective modules
from .test_discovery import TestDiscovery
# insight_extractor is a module with functions, not a class, so don't import it here
# Import it directly when needed: from analysis import insight_extractor
@@ -38,5 +37,5 @@ __all__ = [
"RiskClassifier",
"SecurityScanner",
"CIDiscovery",
# "TestDiscovery", # Removed - tests now co-located in their modules
"TestDiscovery",
]
@@ -235,15 +235,10 @@ class FrameworkAnalyzer(BaseAnalyzer):
# Scripts
scripts = pkg.get("scripts", {})
pkg_mgr = self.analysis.get("package_manager", "npm")
if "dev" in scripts:
self.analysis["dev_command"] = f"{pkg_mgr} run dev"
self.analysis["dev_command"] = "npm run dev"
elif "start" in scripts:
self.analysis["dev_command"] = f"{pkg_mgr} run start"
# Capture available scripts for downstream consumers (QA agents, init.sh)
if scripts:
self.analysis["scripts"] = dict(scripts)
self.analysis["dev_command"] = "npm run start"
def _detect_go_framework(self, content: str) -> None:
"""Detect Go framework."""
+690
View File
@@ -0,0 +1,690 @@
#!/usr/bin/env python3
"""
Test Discovery Module
=====================
Detects test frameworks, test commands, and test directories in a project.
This module analyzes project configuration files to discover how tests
should be run.
The test discovery results are used by:
- QA Agent: To determine what test commands to run
- Test Creator: To know what framework to use when creating tests
- Planner: To include correct test commands in verification strategy
Usage:
from test_discovery import TestDiscovery
discovery = TestDiscovery()
result = discovery.discover(project_dir)
print(f"Test frameworks: {result['frameworks']}")
print(f"Test command: {result['test_command']}")
"""
from __future__ import annotations
import json
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any
# =============================================================================
# DATA CLASSES
# =============================================================================
@dataclass
class TestFramework:
"""
Represents a detected test framework.
Attributes:
name: Name of the framework (e.g., "pytest", "jest", "vitest")
type: Type of testing (unit, integration, e2e, all)
command: Command to run tests
config_file: Configuration file if found
version: Version if detected
coverage_command: Command for coverage if available
"""
__test__ = False # Prevent pytest from collecting this as a test class
name: str
type: str # unit, integration, e2e, all
command: str
config_file: str | None = None
version: str | None = None
coverage_command: str | None = None
@dataclass
class TestDiscoveryResult:
"""
Result of test framework discovery.
Attributes:
frameworks: List of detected test frameworks
test_command: Primary test command to run
test_directories: Discovered test directories
package_manager: Detected package manager
has_tests: Whether any test files were found
coverage_command: Command for coverage if available
"""
__test__ = False # Prevent pytest from collecting this as a test class
frameworks: list[TestFramework] = field(default_factory=list)
test_command: str = ""
test_directories: list[str] = field(default_factory=list)
package_manager: str = ""
has_tests: bool = False
coverage_command: str | None = None
# =============================================================================
# FRAMEWORK DETECTORS
# =============================================================================
# Pattern-based framework detection
FRAMEWORK_PATTERNS = {
# JavaScript/TypeScript
"jest": {
"config_files": [
"jest.config.js",
"jest.config.ts",
"jest.config.mjs",
"jest.config.cjs",
],
"package_key": "jest",
"type": "unit",
"command": "npx jest",
"coverage_command": "npx jest --coverage",
},
"vitest": {
"config_files": ["vitest.config.js", "vitest.config.ts", "vitest.config.mjs"],
"package_key": "vitest",
"type": "unit",
"command": "npx vitest run",
"coverage_command": "npx vitest run --coverage",
},
"mocha": {
"config_files": [
".mocharc.js",
".mocharc.json",
".mocharc.yaml",
".mocharc.yml",
],
"package_key": "mocha",
"type": "unit",
"command": "npx mocha",
"coverage_command": "npx nyc mocha",
},
"playwright": {
"config_files": ["playwright.config.js", "playwright.config.ts"],
"package_key": "@playwright/test",
"type": "e2e",
"command": "npx playwright test",
"coverage_command": None,
},
"cypress": {
"config_files": ["cypress.config.js", "cypress.config.ts", "cypress.json"],
"package_key": "cypress",
"type": "e2e",
"command": "npx cypress run",
"coverage_command": None,
},
# Python
"pytest": {
"config_files": ["pytest.ini", "pyproject.toml", "setup.cfg", "conftest.py"],
"pyproject_key": "pytest",
"requirements_key": "pytest",
"type": "all",
"command": "pytest",
"coverage_command": "pytest --cov",
},
"unittest": {
"config_files": [],
"type": "unit",
"command": "python -m unittest discover",
"coverage_command": "coverage run -m unittest discover",
},
# Rust
"cargo_test": {
"config_files": ["Cargo.toml"],
"type": "all",
"command": "cargo test",
"coverage_command": "cargo tarpaulin",
},
# Go
"go_test": {
"config_files": ["go.mod"],
"type": "all",
"command": "go test ./...",
"coverage_command": "go test -cover ./...",
},
# Ruby
"rspec": {
"config_files": [".rspec", "spec/spec_helper.rb"],
"gemfile_key": "rspec",
"type": "all",
"command": "bundle exec rspec",
"coverage_command": "bundle exec rspec --format documentation",
},
"minitest": {
"config_files": [],
"gemfile_key": "minitest",
"type": "unit",
"command": "bundle exec rake test",
"coverage_command": None,
},
}
# =============================================================================
# TEST DISCOVERY
# =============================================================================
class TestDiscovery:
"""
Discovers test frameworks and configurations in a project.
Analyzes:
- Package files (package.json, pyproject.toml, Cargo.toml, etc.)
- Configuration files (jest.config.js, pytest.ini, etc.)
- Directory structure (tests/, spec/, __tests__/)
"""
__test__ = False # Prevent pytest from collecting this as a test class
def __init__(self) -> None:
"""Initialize the test discovery."""
self._cache: dict[str, TestDiscoveryResult] = {}
def discover(self, project_dir: Path) -> TestDiscoveryResult:
"""
Discover test frameworks and configuration in the project.
Args:
project_dir: Path to the project root
Returns:
TestDiscoveryResult with detected frameworks and commands
"""
project_dir = Path(project_dir)
cache_key = str(project_dir.resolve())
if cache_key in self._cache:
return self._cache[cache_key]
result = TestDiscoveryResult()
# Detect package manager
result.package_manager = self._detect_package_manager(project_dir)
# Discover frameworks based on project type
if (project_dir / "package.json").exists():
self._discover_js_frameworks(project_dir, result)
# Check for Python project indicators
python_indicators = [
project_dir / "pyproject.toml",
project_dir / "requirements.txt",
project_dir / "setup.py",
project_dir / "pytest.ini",
project_dir / "conftest.py",
project_dir / "tests" / "conftest.py",
]
if any(p.exists() for p in python_indicators):
self._discover_python_frameworks(project_dir, result)
if (project_dir / "Cargo.toml").exists():
self._discover_rust_frameworks(project_dir, result)
if (project_dir / "go.mod").exists():
self._discover_go_frameworks(project_dir, result)
if (project_dir / "Gemfile").exists():
self._discover_ruby_frameworks(project_dir, result)
# Find test directories
result.test_directories = self._find_test_directories(project_dir)
# Check if tests exist
result.has_tests = self._has_test_files(project_dir, result.test_directories)
# Set primary test command
if result.frameworks:
result.test_command = result.frameworks[0].command
# Set coverage command from first framework that has one
if not result.coverage_command:
for framework in result.frameworks:
if framework.coverage_command:
result.coverage_command = framework.coverage_command
break
self._cache[cache_key] = result
return result
def _detect_package_manager(self, project_dir: Path) -> str:
"""Detect the package manager used by the project."""
if (project_dir / "pnpm-lock.yaml").exists():
return "pnpm"
if (project_dir / "yarn.lock").exists():
return "yarn"
if (project_dir / "package-lock.json").exists():
return "npm"
if (project_dir / "bun.lockb").exists() or (project_dir / "bun.lock").exists():
return "bun"
if (project_dir / "uv.lock").exists():
return "uv"
if (project_dir / "poetry.lock").exists():
return "poetry"
if (project_dir / "Pipfile.lock").exists():
return "pipenv"
if (project_dir / "Cargo.lock").exists():
return "cargo"
if (project_dir / "go.sum").exists():
return "go"
if (project_dir / "Gemfile.lock").exists():
return "bundler"
return ""
def _discover_js_frameworks(
self, project_dir: Path, result: TestDiscoveryResult
) -> None:
"""Discover JavaScript/TypeScript test frameworks."""
package_json = project_dir / "package.json"
if not package_json.exists():
return
try:
with open(package_json, encoding="utf-8") as f:
pkg = json.load(f)
except (OSError, json.JSONDecodeError, UnicodeDecodeError):
return
deps = pkg.get("dependencies", {})
dev_deps = pkg.get("devDependencies", {})
all_deps = {**deps, **dev_deps}
scripts = pkg.get("scripts", {})
# Check for test frameworks in dependencies
for name, pattern in FRAMEWORK_PATTERNS.items():
if "package_key" not in pattern:
continue
if pattern["package_key"] in all_deps:
# Check for config file
config_file = None
for cf in pattern.get("config_files", []):
if (project_dir / cf).exists():
config_file = cf
break
# Get version
version = all_deps.get(pattern["package_key"], "")
if version.startswith("^") or version.startswith("~"):
version = version[1:]
# Determine command - prefer npm scripts if available
command = pattern["command"]
if "test" in scripts and pattern["package_key"] in scripts.get(
"test", ""
):
command = f"{result.package_manager or 'npm'} test"
result.frameworks.append(
TestFramework(
name=name,
type=pattern["type"],
command=command,
config_file=config_file,
version=version,
coverage_command=pattern.get("coverage_command"),
)
)
# Check npm scripts for test commands
if not result.frameworks and "test" in scripts:
test_script = scripts["test"]
if (
test_script
and test_script != 'echo "Error: no test specified" && exit 1'
):
# Try to infer framework from script
framework_name = "npm_test"
framework_type = "unit"
if "jest" in test_script:
framework_name = "jest"
elif "vitest" in test_script:
framework_name = "vitest"
elif "mocha" in test_script:
framework_name = "mocha"
elif "playwright" in test_script:
framework_name = "playwright"
framework_type = "e2e"
elif "cypress" in test_script:
framework_name = "cypress"
framework_type = "e2e"
result.frameworks.append(
TestFramework(
name=framework_name,
type=framework_type,
command=f"{result.package_manager or 'npm'} test",
config_file=None,
)
)
def _discover_python_frameworks(
self, project_dir: Path, result: TestDiscoveryResult
) -> None:
"""Discover Python test frameworks."""
# Check for pytest.ini first (explicit pytest config)
if (project_dir / "pytest.ini").exists():
if not any(f.name == "pytest" for f in result.frameworks):
result.frameworks.append(
TestFramework(
name="pytest",
type="all",
command="pytest",
config_file="pytest.ini",
)
)
# Check pyproject.toml
pyproject = project_dir / "pyproject.toml"
if pyproject.exists():
content = pyproject.read_text(encoding="utf-8")
# Check for pytest
if "pytest" in content:
if not any(f.name == "pytest" for f in result.frameworks):
config_file = (
"pyproject.toml" if "[tool.pytest" in content else None
)
result.frameworks.append(
TestFramework(
name="pytest",
type="all",
command="pytest",
config_file=config_file,
)
)
# Check requirements.txt
requirements = project_dir / "requirements.txt"
if requirements.exists():
content = requirements.read_text(encoding="utf-8").lower()
if "pytest" in content and not any(
f.name == "pytest" for f in result.frameworks
):
result.frameworks.append(
TestFramework(
name="pytest",
type="all",
command="pytest",
config_file=None,
)
)
# Check for conftest.py (pytest marker)
conftest_root = project_dir / "conftest.py"
conftest_tests = project_dir / "tests" / "conftest.py"
if conftest_root.exists() or conftest_tests.exists():
if not any(f.name == "pytest" for f in result.frameworks):
result.frameworks.append(
TestFramework(
name="pytest",
type="all",
command="pytest",
config_file="conftest.py",
)
)
# Fall back to unittest if test files exist but no framework detected
if not result.frameworks:
test_dirs = self._find_test_directories(project_dir)
if test_dirs:
result.frameworks.append(
TestFramework(
name="unittest",
type="unit",
command="python -m unittest discover",
config_file=None,
)
)
def _discover_rust_frameworks(
self, project_dir: Path, result: TestDiscoveryResult
) -> None:
"""Discover Rust test frameworks."""
cargo_toml = project_dir / "Cargo.toml"
if cargo_toml.exists():
result.frameworks.append(
TestFramework(
name="cargo_test",
type="all",
command="cargo test",
config_file="Cargo.toml",
)
)
def _discover_go_frameworks(
self, project_dir: Path, result: TestDiscoveryResult
) -> None:
"""Discover Go test frameworks."""
go_mod = project_dir / "go.mod"
if go_mod.exists():
result.frameworks.append(
TestFramework(
name="go_test",
type="all",
command="go test ./...",
config_file="go.mod",
)
)
def _discover_ruby_frameworks(
self, project_dir: Path, result: TestDiscoveryResult
) -> None:
"""Discover Ruby test frameworks."""
gemfile = project_dir / "Gemfile"
if not gemfile.exists():
return
content = gemfile.read_text(encoding="utf-8").lower()
if "rspec" in content or (project_dir / ".rspec").exists():
result.frameworks.append(
TestFramework(
name="rspec",
type="all",
command="bundle exec rspec",
config_file=".rspec" if (project_dir / ".rspec").exists() else None,
)
)
elif "minitest" in content:
result.frameworks.append(
TestFramework(
name="minitest",
type="unit",
command="bundle exec rake test",
config_file=None,
)
)
def _find_test_directories(self, project_dir: Path) -> list[str]:
"""Find test directories in the project."""
test_dir_patterns = [
"tests",
"test",
"spec",
"__tests__",
"specs",
"test_*",
]
found_dirs = []
for pattern in test_dir_patterns:
if pattern.endswith("*"):
# Glob pattern
for d in project_dir.glob(pattern):
if d.is_dir():
found_dirs.append(str(d.relative_to(project_dir)))
else:
# Exact name
test_dir = project_dir / pattern
if test_dir.is_dir():
found_dirs.append(pattern)
return found_dirs
def _has_test_files(self, project_dir: Path, test_directories: list[str]) -> bool:
"""Check if any test files exist."""
test_file_patterns = [
"**/test_*.py",
"**/*_test.py",
"**/*.test.js",
"**/*.test.ts",
"**/*.test.tsx",
"**/*.spec.js",
"**/*.spec.ts",
"**/*.spec.tsx",
"**/test_*.go",
"**/*_test.go",
"**/*_test.rs",
"**/spec/**/*_spec.rb",
]
# Check in test directories
for test_dir in test_directories:
test_path = project_dir / test_dir
if test_path.exists():
for pattern in test_file_patterns:
if list(test_path.glob(pattern.replace("**/", ""))):
return True
# Check project-wide
for pattern in test_file_patterns:
if list(project_dir.glob(pattern)):
return True
return False
def to_dict(self, result: TestDiscoveryResult) -> dict[str, Any]:
"""Convert result to dictionary for JSON serialization."""
return {
"frameworks": [
{
"name": f.name,
"type": f.type,
"command": f.command,
"config_file": f.config_file,
"version": f.version,
"coverage_command": f.coverage_command,
}
for f in result.frameworks
],
"test_command": result.test_command,
"test_directories": result.test_directories,
"package_manager": result.package_manager,
"has_tests": result.has_tests,
"coverage_command": result.coverage_command,
}
def clear_cache(self) -> None:
"""Clear the internal cache."""
self._cache.clear()
# =============================================================================
# CONVENIENCE FUNCTIONS
# =============================================================================
def discover_tests(project_dir: Path) -> TestDiscoveryResult:
"""
Convenience function to discover tests in a project.
Args:
project_dir: Path to project root
Returns:
TestDiscoveryResult with detected frameworks
"""
discovery = TestDiscovery()
return discovery.discover(project_dir)
def get_test_command(project_dir: Path) -> str:
"""
Get the primary test command for a project.
Args:
project_dir: Path to project root
Returns:
Test command string, or empty string if not found
"""
discovery = TestDiscovery()
result = discovery.discover(project_dir)
return result.test_command
def get_test_frameworks(project_dir: Path) -> list[str]:
"""
Get list of test framework names in a project.
Args:
project_dir: Path to project root
Returns:
List of framework names
"""
discovery = TestDiscovery()
result = discovery.discover(project_dir)
return [f.name for f in result.frameworks]
# =============================================================================
# CLI
# =============================================================================
def main() -> None:
"""CLI entry point for testing."""
import argparse
parser = argparse.ArgumentParser(description="Discover test frameworks")
parser.add_argument("project_dir", type=Path, help="Path to project root")
parser.add_argument("--json", action="store_true", help="Output as JSON")
args = parser.parse_args()
discovery = TestDiscovery()
result = discovery.discover(args.project_dir)
if args.json:
print(json.dumps(discovery.to_dict(result), indent=2))
else:
print(f"Package Manager: {result.package_manager or 'unknown'}")
print(f"Has Tests: {result.has_tests}")
print(f"Test Command: {result.test_command or 'none'}")
print(f"Test Directories: {', '.join(result.test_directories) or 'none'}")
print(f"Coverage Command: {result.coverage_command or 'none'}")
print(f"\nFrameworks ({len(result.frameworks)}):")
for f in result.frameworks:
print(f" - {f.name} ({f.type})")
print(f" Command: {f.command}")
if f.config_file:
print(f" Config: {f.config_file}")
if f.version:
print(f" Version: {f.version}")
if __name__ == "__main__":
main()
+2 -3
View File
@@ -15,7 +15,6 @@ import subprocess
from typing import TYPE_CHECKING
from core.platform import (
get_where_exe_path,
is_linux,
is_macos,
is_windows,
@@ -855,9 +854,9 @@ def _find_git_bash_path() -> str | None:
# Method 1: Use 'where' command to find git.exe
try:
# Use full path to where.exe for reliability (works even when System32 isn't in PATH)
# Use where.exe explicitly for reliability
result = subprocess.run(
[get_where_exe_path(), "git"],
["where.exe", "git"],
capture_output=True,
text=True,
timeout=5,
+5 -51
View File
@@ -21,7 +21,6 @@ import time
from pathlib import Path
from typing import Any
from core.fast_mode import ensure_fast_mode_in_user_settings
from core.platform import (
is_windows,
validate_cli_path,
@@ -450,9 +449,6 @@ def create_client(
max_thinking_tokens: int | None = None,
output_format: dict | None = None,
agents: dict | None = None,
betas: list[str] | None = None,
effort_level: str | None = None,
fast_mode: bool = False,
) -> ClaudeSDKClient:
"""
Create a Claude Agent SDK client with multi-layered security.
@@ -468,9 +464,10 @@ def create_client(
agent_type: Agent type identifier from AGENT_CONFIGS
(e.g., 'coder', 'planner', 'qa_reviewer', 'spec_gatherer')
max_thinking_tokens: Token budget for extended thinking (None = disabled)
- high: 16384 (spec creation, QA review)
- medium: 4096 (planning, validation)
- low: 1024 (coding)
- ultrathink: 16000 (spec creation)
- high: 10000 (QA review)
- medium: 5000 (planning, validation)
- None: disabled (coding)
output_format: Optional structured output format for validated JSON responses.
Use {"type": "json_schema", "schema": Model.model_json_schema()}
See: https://platform.claude.com/docs/en/agent-sdk/structured-outputs
@@ -478,16 +475,6 @@ def create_client(
Format: {"agent-name": {"description": "...", "prompt": "...",
"tools": [...], "model": "inherit"}}
See: https://platform.claude.com/docs/en/agent-sdk/subagents
betas: Optional list of SDK beta header strings (e.g., ["context-1m-2025-08-07"]
for 1M context window). Use get_phase_model_betas() to compute from config.
effort_level: Optional effort level for adaptive thinking models (e.g., "low",
"medium", "high"). When set, injected as CLAUDE_CODE_EFFORT_LEVEL
env var for the SDK subprocess. Only meaningful for models that
support adaptive thinking (e.g., Opus 4.6).
fast_mode: Enable Fast Mode for faster Opus 4.6 output. When True, enables
the "user" setting source so the CLI reads fastMode from
~/.claude/settings.json. Requires extra usage enabled on Claude
subscription; falls back to standard speed automatically.
Returns:
Configured ClaudeSDKClient
@@ -515,24 +502,6 @@ def create_client(
if config_dir:
logger.info(f"Using CLAUDE_CONFIG_DIR for profile: {config_dir}")
# Inject effort level for adaptive thinking models (e.g., Opus 4.6)
if effort_level:
sdk_env["CLAUDE_CODE_EFFORT_LEVEL"] = effort_level
# Fast mode requires the CLI to read "fastMode" from user settings.
# The SDK default (setting_sources=None) passes --setting-sources "" which
# blocks ALL filesystem settings. We must explicitly enable "user" source
# so the CLI reads ~/.claude/settings.json where fastMode: true lives.
# See: https://code.claude.com/docs/en/fast-mode
if fast_mode:
ensure_fast_mode_in_user_settings()
logger.info("[Fast Mode] ACTIVE — will enable user setting source for fastMode")
print(
"[Fast Mode] ACTIVE — enabling user settings source for CLI to read fastMode"
)
else:
logger.info("[Fast Mode] inactive — not requested for this client")
# Debug: Log git-bash path detection on Windows
if "CLAUDE_CODE_GIT_BASH_PATH" in sdk_env:
logger.info(f"Git Bash path found: {sdk_env['CLAUDE_CODE_GIT_BASH_PATH']}")
@@ -696,12 +665,7 @@ def create_client(
print(" - Worktree permissions: granted for original project directories")
print(" - Bash commands restricted to allowlist")
if max_thinking_tokens:
thinking_info = f"{max_thinking_tokens:,} tokens"
if effort_level:
thinking_info += f" + effort={effort_level}"
if fast_mode:
thinking_info += " + fast mode"
print(f" - Extended thinking: {thinking_info}")
print(f" - Extended thinking: {max_thinking_tokens:,} tokens")
else:
print(" - Extended thinking: disabled")
@@ -853,12 +817,6 @@ def create_client(
"enable_file_checkpointing": True,
}
# Fast mode: enable user setting source so CLI reads fastMode from
# ~/.claude/settings.json. Without this, the SDK's default --setting-sources ""
# blocks all filesystem settings and the CLI never sees fastMode: true.
if fast_mode:
options_kwargs["setting_sources"] = ["user"]
# Optional: Allow CLI path override via environment variable
# The SDK bundles its own CLI, but users can override if needed
env_cli_path = os.environ.get("CLAUDE_CLI_PATH")
@@ -876,8 +834,4 @@ def create_client(
if agents:
options_kwargs["agents"] = agents
# Add beta headers if specified (e.g., for 1M context window)
if betas:
options_kwargs["betas"] = betas
return ClaudeSDKClient(options=ClaudeAgentOptions(**options_kwargs))
-120
View File
@@ -1,120 +0,0 @@
"""
Shared Error Utilities
======================
Common error detection and classification functions used across
agent sessions, QA, and other modules.
"""
import re
def is_tool_concurrency_error(error: Exception) -> bool:
"""
Check if an error is a 400 tool concurrency error from Claude API.
Tool concurrency errors occur when too many tools are used simultaneously
in a single API request, hitting Claude's concurrent tool use limit.
Args:
error: The exception to check
Returns:
True if this is a tool concurrency error, False otherwise
"""
error_str = str(error).lower()
# Check for 400 status AND tool concurrency keywords
return "400" in error_str and (
("tool" in error_str and "concurrency" in error_str)
or "too many tools" in error_str
or "concurrent tool" in error_str
)
def is_rate_limit_error(error: Exception) -> bool:
"""
Check if an error is a rate limit error (429 or similar).
Rate limit errors occur when the API usage quota is exceeded,
either for session limits or weekly limits.
Args:
error: The exception to check
Returns:
True if this is a rate limit error, False otherwise
"""
error_str = str(error).lower()
# Check for HTTP 429 with word boundaries to avoid false positives
if re.search(r"\b429\b", error_str):
return True
# Check for other rate limit indicators
return any(
p in error_str
for p in [
"limit reached",
"rate limit",
"too many requests",
"usage limit",
"quota exceeded",
]
)
def is_authentication_error(error: Exception) -> bool:
"""
Check if an error is an authentication error (401, token expired, etc.).
Authentication errors occur when OAuth tokens are invalid, expired,
or have been revoked (e.g., after token refresh on another process).
Validation approach:
- HTTP 401 status code is checked with word boundaries to minimize false positives
- Additional string patterns are validated against lowercase error messages
- Patterns are designed to match known Claude API and OAuth error formats
Known false positive risks:
- Generic error messages containing "unauthorized" or "access denied" may match
even if not related to authentication (e.g., file permission errors)
- Error messages containing these keywords in user-provided content could match
- Mitigation: HTTP 401 check provides strong signal; string patterns are secondary
Real-world validation:
- Pattern matching has been tested against actual Claude API error responses
- False positive rate is acceptable given the recovery mechanism (prompt user to re-auth)
- If false positive occurs, user can simply resume without re-authenticating
Args:
error: The exception to check
Returns:
True if this is an authentication error, False otherwise
"""
error_str = str(error).lower()
# Check for HTTP 401 with word boundaries to avoid false positives
if re.search(r"\b401\b", error_str):
return True
# Check for other authentication indicators
# NOTE: "authentication failed" and "authentication error" are more specific patterns
# to reduce false positives from generic "authentication" mentions
return any(
p in error_str
for p in [
"authentication failed",
"authentication error",
"unauthorized",
"invalid token",
"token expired",
"authentication_error",
"invalid_token",
"token_expired",
"not authenticated",
"http 401",
"does not have access to claude",
"please login again",
]
)
-76
View File
@@ -1,76 +0,0 @@
"""
Fast Mode Settings Helper
=========================
Manages the fastMode flag in ~/.claude/settings.json for temporary
per-task fast mode overrides. Shared by both client.py and simple_client.py.
"""
import json
import logging
from pathlib import Path
from core.file_utils import write_json_atomic
logger = logging.getLogger(__name__)
_fast_mode_atexit_registered = False
def _write_fast_mode_setting(enabled: bool) -> None:
"""Write fastMode value to ~/.claude/settings.json (atomic read-modify-write).
Uses write_json_atomic from core.file_utils to prevent corruption when
multiple concurrent task processes modify the file simultaneously.
"""
settings_file = Path.home() / ".claude" / "settings.json"
try:
settings: dict = {}
if settings_file.exists():
settings = json.loads(settings_file.read_text(encoding="utf-8"))
if settings.get("fastMode") != enabled:
settings["fastMode"] = enabled
settings_file.parent.mkdir(parents=True, exist_ok=True)
# Atomic write using shared utility
write_json_atomic(settings_file, settings)
state = "true" if enabled else "false"
logger.info(
f"[Fast Mode] Wrote fastMode={state} to ~/.claude/settings.json"
)
except Exception as e:
logger.warning(f"[Fast Mode] Could not update ~/.claude/settings.json: {e}")
def _disable_fast_mode_on_exit() -> None:
"""atexit handler: restore fastMode=false so interactive CLI sessions stay standard."""
_write_fast_mode_setting(False)
def ensure_fast_mode_in_user_settings() -> None:
"""
Enable fastMode in ~/.claude/settings.json and register cleanup.
The CLI reads fastMode from user settings (loaded via --setting-sources user).
This function:
1. Writes fastMode=true before spawning the CLI subprocess
2. Registers an atexit handler to restore fastMode=false when the process exits
This ensures fast mode is a temporary override per task process, not a permanent
setting change. The CLI subprocess reads settings at startup, so restoring false
after exit doesn't affect running tasks — only prevents fast mode from leaking
into subsequent interactive CLI sessions or non-fast-mode tasks.
"""
global _fast_mode_atexit_registered
_write_fast_mode_setting(True)
# Register cleanup once per process — idempotent on repeated calls
if not _fast_mode_atexit_registered:
import atexit
atexit.register(_disable_fast_mode_on_exit)
_fast_mode_atexit_registered = True
logger.info(
"[Fast Mode] Registered atexit cleanup (will restore fastMode=false)"
)
+3 -4
View File
@@ -10,8 +10,6 @@ import os
import shutil
import subprocess
from core.platform import get_where_exe_path
_cached_gh_path: str | None = None
@@ -55,11 +53,12 @@ def _run_where_command() -> str | None:
"""
try:
result = subprocess.run(
[get_where_exe_path(), "gh"],
"where gh",
capture_output=True,
text=True,
encoding="utf-8",
timeout=5,
shell=True, # Required: 'where' command must be executed through shell on Windows
)
if result.returncode == 0 and result.stdout.strip():
found_path = result.stdout.strip().split("\n")[0].strip()
@@ -134,7 +133,7 @@ def _find_gh_executable() -> str | None:
if os.path.isfile(path) and _verify_gh_executable(path):
return path
# 5. Try 'where' command with full path (works even when System32 isn't in PATH)
# 5. Try 'where' command with shell=True (more reliable on Windows)
return _run_where_command()
return None
+3 -4
View File
@@ -15,8 +15,6 @@ import shutil
import subprocess
from pathlib import Path
from core.platform import get_where_exe_path
# Git environment variables that can interfere with worktree operations
# when set by pre-commit hooks or other git configurations.
# These must be cleared to prevent cross-worktree contamination.
@@ -126,13 +124,14 @@ def _find_git_executable() -> str:
except OSError:
continue
# 4. Try 'where' command with full path (works even when System32 isn't in PATH)
# 4. Try 'where' command with shell=True (more reliable on Windows)
try:
result = subprocess.run(
[get_where_exe_path(), "git"],
"where git",
capture_output=True,
text=True,
timeout=5,
shell=True,
)
if result.returncode == 0 and result.stdout.strip():
found_path = result.stdout.strip().split("\n")[0].strip()
+3 -4
View File
@@ -10,8 +10,6 @@ import os
import shutil
import subprocess
from core.platform import get_where_exe_path
_cached_glab_path: str | None = None
@@ -55,11 +53,12 @@ def _run_where_command() -> str | None:
"""
try:
result = subprocess.run(
[get_where_exe_path(), "glab"],
"where glab",
capture_output=True,
text=True,
encoding="utf-8",
timeout=5,
shell=True, # Required: 'where' command must be executed through shell on Windows
)
if result.returncode == 0 and result.stdout.strip():
found_path = result.stdout.strip().split("\n")[0].strip()
@@ -135,7 +134,7 @@ def _find_glab_executable() -> str | None:
if os.path.isfile(path) and _verify_glab_executable(path):
return path
# 5. Try 'where' command with full path (works even when System32 isn't in PATH)
# 5. Try 'where' command with shell=True (more reliable on Windows)
return _run_where_command()
return None
-16
View File
@@ -430,22 +430,6 @@ def requires_shell(command: str) -> bool:
return ext.lower() in {".cmd", ".bat", ".ps1"}
def get_where_exe_path() -> str:
"""Get full path to where.exe on Windows.
Using the full path ensures where.exe works even when System32 isn't in PATH,
which can happen in restricted environments or when the app doesn't inherit
the full system PATH.
Returns:
Full path to where.exe (e.g., C:\\Windows\\System32\\where.exe)
"""
system_root = os.environ.get(
"SystemRoot", os.environ.get("SYSTEMROOT", "C:\\Windows")
)
return os.path.join(system_root, "System32", "where.exe")
def get_comspec_path() -> str:
"""
Get the path to cmd.exe on Windows.
-29
View File
@@ -31,7 +31,6 @@ from core.auth import (
configure_sdk_authentication,
get_sdk_env_vars,
)
from core.fast_mode import ensure_fast_mode_in_user_settings
from core.platform import validate_cli_path
from phase_config import get_thinking_budget
@@ -45,9 +44,6 @@ def create_simple_client(
cwd: Path | None = None,
max_turns: int = 1,
max_thinking_tokens: int | None = None,
betas: list[str] | None = None,
effort_level: str | None = None,
fast_mode: bool = False,
) -> ClaudeSDKClient:
"""
Create a minimal Claude SDK client for single-turn utility operations.
@@ -69,11 +65,6 @@ def create_simple_client(
max_turns: Maximum conversation turns (default: 1 for single-turn)
max_thinking_tokens: Override thinking budget (None = use agent default from
AGENT_CONFIGS, converted using phase_config.THINKING_BUDGET_MAP)
betas: Optional list of SDK beta header strings (e.g., ["context-1m-2025-08-07"])
effort_level: Optional effort level for adaptive thinking models (e.g., "low",
"medium", "high"). Injected as CLAUDE_CODE_EFFORT_LEVEL env var.
fast_mode: Enable Fast Mode for faster Opus 4.6 output. Enables the "user"
setting source so the CLI reads fastMode from ~/.claude/settings.json.
Returns:
Configured ClaudeSDKClient for single-turn operations
@@ -91,17 +82,6 @@ def create_simple_client(
# Configure SDK authentication (OAuth or API profile mode)
configure_sdk_authentication(config_dir)
# Inject effort level for adaptive thinking models (e.g., Opus 4.6)
if effort_level:
sdk_env["CLAUDE_CODE_EFFORT_LEVEL"] = effort_level
# Fast mode: the CLI reads "fastMode" from user settings (~/.claude/settings.json).
# By default the SDK passes --setting-sources "" which blocks all filesystem settings.
# We enable "user" source so the CLI can read fastMode from user settings.
if fast_mode:
ensure_fast_mode_in_user_settings()
logger.info("[Fast Mode] ACTIVE — will enable user setting source for fastMode")
# Get agent configuration (raises ValueError if unknown type)
config = get_agent_config(agent_type)
@@ -124,19 +104,10 @@ def create_simple_client(
"env": sdk_env,
}
# Fast mode: enable user setting source so CLI reads fastMode from
# ~/.claude/settings.json. Without this, --setting-sources "" blocks it.
if fast_mode:
options_kwargs["setting_sources"] = ["user"]
# Only add max_thinking_tokens if not None (Haiku doesn't support extended thinking)
if max_thinking_tokens is not None:
options_kwargs["max_thinking_tokens"] = max_thinking_tokens
# Add beta headers if specified (e.g., for 1M context window)
if betas:
options_kwargs["betas"] = betas
# Optional: Allow CLI path override via environment variable
env_cli_path = os.environ.get("CLAUDE_CLI_PATH")
if env_cli_path and validate_cli_path(env_cli_path):
+6 -19
View File
@@ -17,6 +17,7 @@ Public API exported from sub-modules.
"""
import importlib.util
import sys
from pathlib import Path
# Import merge functions from workspace.py (which coexists with this package)
@@ -27,17 +28,10 @@ _workspace_module = importlib.util.module_from_spec(_spec)
_spec.loader.exec_module(_workspace_module)
merge_existing_build = _workspace_module.merge_existing_build
_run_parallel_merges = _workspace_module._run_parallel_merges
_resolve_git_conflicts_with_ai = _workspace_module._resolve_git_conflicts_with_ai
AI_MERGE_SYSTEM_PROMPT = _workspace_module.AI_MERGE_SYSTEM_PROMPT
_build_merge_prompt = _workspace_module._build_merge_prompt
_check_git_conflicts = _workspace_module._check_git_conflicts
_rebase_spec_branch = _workspace_module._rebase_spec_branch
_create_merge_progress_callback = _workspace_module._create_merge_progress_callback
_infer_language_from_path = _workspace_module._infer_language_from_path
_strip_code_fences = _workspace_module._strip_code_fences
_try_simple_3way_merge = _workspace_module._try_simple_3way_merge
_attempt_ai_merge = _workspace_module._attempt_ai_merge
_merge_file_with_ai_async = _workspace_module._merge_file_with_ai_async
# Models and Enums
# Display Functions
@@ -80,9 +74,7 @@ from .git_utils import (
# Export private names for backward compatibility
_is_process_running,
_validate_merged_syntax,
apply_path_mapping,
create_conflict_file_with_git,
detect_file_renames,
get_binary_file_content_from_ref,
get_changed_files_from_branch,
get_current_branch,
@@ -99,8 +91,6 @@ from .models import (
MergeLockError,
ParallelMergeResult,
ParallelMergeTask,
SpecNumberLock,
SpecNumberLockError,
WorkspaceChoice,
WorkspaceMode,
)
@@ -120,9 +110,11 @@ from .setup import (
__all__ = [
# Merge Operations (from workspace.py)
"merge_existing_build",
# Note: Private functions (_run_parallel_merges, _resolve_git_conflicts_with_ai, etc.)
# are kept as module-level assignments for internal use but not exported in __all__
# to maintain the underscore convention for private/internal APIs
"_run_parallel_merges", # Private but used internally
"AI_MERGE_SYSTEM_PROMPT", # System prompt for AI merge (ACS-194)
"_build_merge_prompt", # Internal prompt builder (ACS-194)
"_check_git_conflicts", # Internal git conflict detection (ACS-224)
"_rebase_spec_branch", # Internal rebase function (ACS-224)
# Models
"WorkspaceMode",
"WorkspaceChoice",
@@ -130,8 +122,6 @@ __all__ = [
"ParallelMergeResult",
"MergeLock",
"MergeLockError",
"SpecNumberLock",
"SpecNumberLockError",
# Git Utils
"has_uncommitted_changes",
"get_current_branch",
@@ -141,11 +131,8 @@ __all__ = [
"get_changed_files_from_branch",
"is_process_running",
"is_binary_file",
"is_lock_file",
"validate_merged_syntax",
"create_conflict_file_with_git",
"detect_file_renames", # File rename detection
"apply_path_mapping", # Path mapping for renamed files
# Setup
"choose_workspace",
"copy_spec_to_worktree",
@@ -1,250 +0,0 @@
#!/usr/bin/env python3
"""
Pytest Configuration and Shared Fixtures for Workspace Tests
==============================================================
Provides test fixtures for the workspace module tests.
"""
import os
import shutil
import subprocess
import sys
import tempfile
from collections.abc import Generator
from pathlib import Path
from unittest.mock import MagicMock
import pytest
# =============================================================================
# MODULE MOCK CLEANUP - Prevents test isolation issues
# =============================================================================
# List of modules that might be mocked by test files
_POTENTIALLY_MOCKED_MODULES = [
"claude_code_sdk",
"claude_code_sdk.types",
"claude_agent_sdk",
"claude_agent_sdk.types",
]
# Store original module references at import time (BEFORE pre-mocking)
_original_module_state = {}
for _name in _POTENTIALLY_MOCKED_MODULES:
if _name in sys.modules:
_original_module_state[_name] = sys.modules[_name]
# =============================================================================
# PRE-MOCK EXTERNAL SDK MODULES - Must happen BEFORE adding auto-claude to path
# =============================================================================
# These SDK modules may not be installed, so we mock them before any imports
# that might trigger loading code that depends on them.
def _create_sdk_mock():
"""Create a comprehensive mock for SDK modules."""
mock = MagicMock()
mock.ClaudeAgentOptions = MagicMock
mock.ClaudeSDKClient = MagicMock
mock.HookMatcher = MagicMock
return mock
# Pre-mock claude_agent_sdk if not installed
if "claude_agent_sdk" not in sys.modules:
sys.modules["claude_agent_sdk"] = _create_sdk_mock()
sys.modules["claude_agent_sdk.types"] = MagicMock()
# Pre-mock claude_code_sdk if not installed
if "claude_code_sdk" not in sys.modules:
sys.modules["claude_code_sdk"] = _create_sdk_mock()
sys.modules["claude_code_sdk.types"] = MagicMock()
# Add backend directory to path for imports
# When co-located at workspace/tests/, go up to backend directory
# workspace/tests -> workspace -> core -> backend (4 levels up)
_backend = Path(__file__).resolve().parent.parent.parent.parent
sys.path.insert(0, str(_backend))
# Add repo root to sys.path for test_fixtures import fallback
_repo_root = _backend.parent.parent
sys.path.insert(0, str(_repo_root))
def _cleanup_mocked_modules():
"""Remove any MagicMock modules from sys.modules."""
for name in _POTENTIALLY_MOCKED_MODULES:
if name in sys.modules:
module = sys.modules[name]
if isinstance(module, MagicMock):
if name in _original_module_state:
sys.modules[name] = _original_module_state[name]
else:
del sys.modules[name]
def pytest_sessionstart(session):
"""Clean up any mocked modules before the test session starts."""
_cleanup_mocked_modules()
# =============================================================================
# DIRECTORY FIXTURES
# =============================================================================
@pytest.fixture
def temp_dir() -> Generator[Path, None, None]:
"""Create a temporary directory that's cleaned up after the test."""
temp_path = Path(tempfile.mkdtemp())
yield temp_path
shutil.rmtree(temp_path, ignore_errors=True)
@pytest.fixture
def temp_git_repo(temp_dir: Path) -> Generator[Path, None, None]:
"""Create a temporary git repository with initial commit.
IMPORTANT: This fixture properly isolates git operations by clearing
git environment variables that may be set by pre-commit hooks. Without
this isolation, git operations could affect the parent repository when
tests run inside a git worktree (e.g., during pre-commit validation).
See: https://git-scm.com/docs/git#_environment_variables
"""
# Save original environment values to restore later
orig_env = {}
# These git env vars may be set by pre-commit hooks and MUST be cleared
# to avoid git operations affecting the parent repository instead of
# our isolated test repo. This is critical when running inside worktrees.
git_vars_to_clear = [
"GIT_DIR",
"GIT_WORK_TREE",
"GIT_INDEX_FILE",
"GIT_OBJECT_DIRECTORY",
"GIT_ALTERNATE_OBJECT_DIRECTORIES",
]
# Clear interfering git environment variables
for key in git_vars_to_clear:
orig_env[key] = os.environ.get(key)
if key in os.environ:
del os.environ[key]
# Set GIT_CEILING_DIRECTORIES to prevent git from discovering parent .git
# directories. This is critical for test isolation when running inside
# another git repo (like during pre-commit hooks in worktrees).
orig_env["GIT_CEILING_DIRECTORIES"] = os.environ.get("GIT_CEILING_DIRECTORIES")
os.environ["GIT_CEILING_DIRECTORIES"] = str(temp_dir.parent)
try:
# Initialize git repo
subprocess.run(["git", "init"], cwd=temp_dir, capture_output=True, check=True)
subprocess.run(
["git", "config", "user.email", "test@example.com"],
cwd=temp_dir,
capture_output=True,
)
subprocess.run(
["git", "config", "user.name", "Test User"],
cwd=temp_dir,
capture_output=True,
)
# Create initial commit
test_file = temp_dir / "README.md"
test_file.write_text("# Test Project\n", encoding="utf-8")
subprocess.run(["git", "add", "."], cwd=temp_dir, capture_output=True)
subprocess.run(
["git", "commit", "-m", "Initial commit"], cwd=temp_dir, capture_output=True
)
# Ensure branch is named 'main' (some git configs default to 'master')
subprocess.run(
["git", "branch", "-M", "main"], cwd=temp_dir, capture_output=True
)
yield temp_dir
finally:
# Restore original environment variables
for key, value in orig_env.items():
if value is None:
os.environ.pop(key, None)
else:
os.environ[key] = value
@pytest.fixture
def spec_dir(temp_dir: Path) -> Path:
"""Create a spec directory inside temp_dir."""
spec_path = temp_dir / "spec"
spec_path.mkdir(parents=True)
return spec_path
@pytest.fixture
def project_dir(temp_dir: Path) -> Path:
"""Create a project directory inside temp_dir."""
project_path = temp_dir / "project"
project_path.mkdir(parents=True)
return project_path
@pytest.fixture
def make_commit(temp_git_repo: Path):
"""Fixture to make commits in the test git repo.
Usage:
def test_something(make_commit):
make_commit("message", files={"file.txt": "content"})
"""
def _make_commit(message: str, files: dict[str, str] | None = None):
"""Create a commit with the given message and files.
Args:
message: Commit message
files: Optional dict of {filepath: content} to create before committing
"""
if files:
for file_path, content in files.items():
full_path = temp_git_repo / file_path
full_path.parent.mkdir(parents=True, exist_ok=True)
full_path.write_text(content, encoding="utf-8")
subprocess.run(["git", "add", "."], cwd=temp_git_repo, capture_output=True)
subprocess.run(
["git", "commit", "-m", message],
cwd=temp_git_repo,
capture_output=True,
)
return _make_commit
@pytest.fixture
def stage_files(temp_git_repo: Path):
"""Fixture to stage files in the test git repo.
Usage:
def test_something(stage_files):
stage_files({"file.txt": "content"})
"""
def _stage_files(files: dict[str, str]):
"""Stage files for commit.
Args:
files: Dict of {filepath: content} to create and stage
"""
for file_path, content in files.items():
full_path = temp_git_repo / file_path
full_path.parent.mkdir(parents=True, exist_ok=True)
full_path.write_text(content, encoding="utf-8")
subprocess.run(["git", "add", "."], cwd=temp_git_repo, capture_output=True)
return _stage_files
@@ -1,10 +0,0 @@
[pytest]
# Pytest configuration for workspace module tests
# Async test mode
asyncio_mode = auto
# Register custom markers
markers =
slow: marks tests as slow (deselect with '-m "not slow"')
integration: marks tests as integration tests (deselect with '-m "not integration"')
@@ -1,856 +0,0 @@
#!/usr/bin/env python3
"""
Tests for Workspace Display Functions
======================================
Tests the display.py module functionality including:
- Build summary display
- Changed files display
- Merge success printing
- Conflict info display
- Environment file operations
- Node modules symlink operations
"""
import json
import os
import shutil
import subprocess
import sys
from pathlib import Path
import pytest
# Test constant - in the new per-spec architecture, each spec has its own worktree
# named after the spec itself. This constant is used for test assertions.
TEST_SPEC_NAME = "test-spec"
class TestShowBuildSummary:
"""Tests for show_build_summary display function."""
def test_show_build_summary_no_changes(self, capsys):
"""show_build_summary prints info message when no changes."""
from unittest.mock import MagicMock
from core.workspace.display import show_build_summary
mock_manager = MagicMock()
mock_manager.get_change_summary.return_value = {
"new_files": 0,
"modified_files": 0,
"deleted_files": 0,
}
mock_manager.get_changed_files.return_value = []
show_build_summary(mock_manager, "test-spec")
captured = capsys.readouterr()
assert "No changes were made" in captured.out
def test_show_build_summary_with_new_files(self, capsys):
"""show_build_summary displays new files count correctly."""
from unittest.mock import MagicMock
from core.workspace.display import show_build_summary
mock_manager = MagicMock()
mock_manager.get_change_summary.return_value = {
"new_files": 3,
"modified_files": 0,
"deleted_files": 0,
}
mock_manager.get_changed_files.return_value = [
("A", "file1.py"),
("A", "file2.py"),
("A", "file3.py"),
]
show_build_summary(mock_manager, "test-spec")
captured = capsys.readouterr()
assert "What was built" in captured.out
assert "+ 3 new files" in captured.out
def test_show_build_summary_singular_new_file(self, capsys):
"""show_build_summary uses singular form for one new file."""
from unittest.mock import MagicMock
from core.workspace.display import show_build_summary
mock_manager = MagicMock()
mock_manager.get_change_summary.return_value = {
"new_files": 1,
"modified_files": 0,
"deleted_files": 0,
}
mock_manager.get_changed_files.return_value = [("A", "file1.py")]
show_build_summary(mock_manager, "test-spec")
captured = capsys.readouterr()
assert "+ 1 new file" in captured.out
assert "files" not in captured.out.split("new file")[1].split("\n")[0]
def test_show_build_summary_with_modified_files(self, capsys):
"""show_build_summary displays modified files count correctly."""
from unittest.mock import MagicMock
from core.workspace.display import show_build_summary
mock_manager = MagicMock()
mock_manager.get_change_summary.return_value = {
"new_files": 0,
"modified_files": 2,
"deleted_files": 0,
}
mock_manager.get_changed_files.return_value = [
("M", "file1.py"),
("M", "file2.py"),
]
show_build_summary(mock_manager, "test-spec")
captured = capsys.readouterr()
assert "~ 2 modified files" in captured.out
def test_show_build_summary_with_deleted_files(self, capsys):
"""show_build_summary displays deleted files count correctly."""
from unittest.mock import MagicMock
from core.workspace.display import show_build_summary
mock_manager = MagicMock()
mock_manager.get_change_summary.return_value = {
"new_files": 0,
"modified_files": 0,
"deleted_files": 1,
}
mock_manager.get_changed_files.return_value = [("D", "old.py")]
show_build_summary(mock_manager, "test-spec")
captured = capsys.readouterr()
assert "- 1 deleted file" in captured.out
def test_show_build_summary_mixed_changes(self, capsys):
"""show_build_summary displays all change types together."""
from unittest.mock import MagicMock
from core.workspace.display import show_build_summary
mock_manager = MagicMock()
mock_manager.get_change_summary.return_value = {
"new_files": 2,
"modified_files": 3,
"deleted_files": 1,
}
mock_manager.get_changed_files.return_value = [
("A", "new1.py"),
("A", "new2.py"),
("M", "mod1.py"),
("M", "mod2.py"),
("M", "mod3.py"),
("D", "old.py"),
]
show_build_summary(mock_manager, "test-spec")
captured = capsys.readouterr()
assert "+ 2 new files" in captured.out
assert "~ 3 modified files" in captured.out
assert "- 1 deleted file" in captured.out
class TestShowChangedFiles:
"""Tests for show_changed_files display function."""
def test_show_changed_files_empty_list(self, capsys):
"""show_changed_files prints info message when no files changed."""
from unittest.mock import MagicMock
from core.workspace.display import show_changed_files
mock_manager = MagicMock()
mock_manager.get_changed_files.return_value = []
show_changed_files(mock_manager, "test-spec")
captured = capsys.readouterr()
assert "No changes" in captured.out
def test_show_changed_files_with_added_file(self, capsys):
"""show_changed_files displays added file with + prefix."""
from unittest.mock import MagicMock
from core.workspace.display import show_changed_files
mock_manager = MagicMock()
mock_manager.get_changed_files.return_value = [("A", "new_file.py")]
show_changed_files(mock_manager, "test-spec")
captured = capsys.readouterr()
assert "Changed files" in captured.out
assert "+ new_file.py" in captured.out
def test_show_changed_files_with_modified_file(self, capsys):
"""show_changed_files displays modified file with ~ prefix."""
from unittest.mock import MagicMock
from core.workspace.display import show_changed_files
mock_manager = MagicMock()
mock_manager.get_changed_files.return_value = [("M", "changed.py")]
show_changed_files(mock_manager, "test-spec")
captured = capsys.readouterr()
assert "~ changed.py" in captured.out
def test_show_changed_files_with_deleted_file(self, capsys):
"""show_changed_files displays deleted file with - prefix."""
from unittest.mock import MagicMock
from core.workspace.display import show_changed_files
mock_manager = MagicMock()
mock_manager.get_changed_files.return_value = [("D", "removed.py")]
show_changed_files(mock_manager, "test-spec")
captured = capsys.readouterr()
assert "- removed.py" in captured.out
def test_show_changed_files_with_unknown_status(self, capsys):
"""show_changed_files displays unknown status code without decoration."""
from unittest.mock import MagicMock
from core.workspace.display import show_changed_files
mock_manager = MagicMock()
mock_manager.get_changed_files.return_value = [("R", "renamed.py")]
show_changed_files(mock_manager, "test-spec")
captured = capsys.readouterr()
assert "R renamed.py" in captured.out
def test_show_changed_files_multiple_files(self, capsys):
"""show_changed_files displays all changed files."""
from unittest.mock import MagicMock
from core.workspace.display import show_changed_files
mock_manager = MagicMock()
mock_manager.get_changed_files.return_value = [
("A", "new.py"),
("M", "modified.py"),
("D", "deleted.py"),
("R", "renamed.py"),
]
show_changed_files(mock_manager, "test-spec")
captured = capsys.readouterr()
assert "+ new.py" in captured.out
assert "~ modified.py" in captured.out
assert "- deleted.py" in captured.out
assert "R renamed.py" in captured.out
class TestPrintMergeSuccess:
"""Tests for print_merge_success display function."""
def test_print_merge_success_no_commit_basic(self, capsys):
"""print_merge_success with no_commit=True shows basic message."""
from core.workspace.display import print_merge_success
print_merge_success(no_commit=True)
captured = capsys.readouterr()
assert "CHANGES ADDED TO YOUR PROJECT" in captured.out
assert "working directory" in captured.out
assert "Review the changes" in captured.out
assert "commit when ready" in captured.out
def test_print_merge_success_no_commit_with_lock_files(self, capsys):
"""print_merge_success with lock_files_excluded shows lock file note."""
from core.workspace.display import print_merge_success
stats = {"lock_files_excluded": 2}
print_merge_success(no_commit=True, stats=stats)
captured = capsys.readouterr()
assert "CHANGES ADDED TO YOUR PROJECT" in captured.out
assert "Lock files kept from main" in captured.out
assert "npm install" in captured.out
def test_print_merge_success_no_commit_with_keep_worktree(self, capsys):
"""print_merge_success with keep_worktree shows discard command."""
from core.workspace.display import print_merge_success
print_merge_success(no_commit=True, spec_name="spec-001", keep_worktree=True)
captured = capsys.readouterr()
assert "CHANGES ADDED TO YOUR PROJECT" in captured.out
assert "Worktree kept for testing" in captured.out
assert "python auto-claude/run.py --spec spec-001 --discard" in captured.out
def test_print_merge_success_no_commit_full_scenario(self, capsys):
"""print_merge_success with all optional parameters."""
from core.workspace.display import print_merge_success
stats = {"lock_files_excluded": 1}
print_merge_success(
no_commit=True,
stats=stats,
spec_name="test-spec",
keep_worktree=True,
)
captured = capsys.readouterr()
assert "CHANGES ADDED TO YOUR PROJECT" in captured.out
assert "Lock files kept from main" in captured.out
assert "Worktree kept for testing" in captured.out
assert "--spec test-spec --discard" in captured.out
def test_print_merge_success_with_commit_basic(self, capsys):
"""print_merge_success with no_commit=False shows commit message."""
from core.workspace.display import print_merge_success
print_merge_success(no_commit=False)
captured = capsys.readouterr()
assert "FEATURE ADDED TO YOUR PROJECT" in captured.out
assert "separate workspace has been cleaned up" in captured.out
def test_print_merge_success_with_commit_and_stats(self, capsys):
"""print_merge_success with stats shows file counts."""
from core.workspace.display import print_merge_success
stats = {
"files_added": 5,
"files_modified": 3,
"files_deleted": 1,
}
print_merge_success(no_commit=False, stats=stats)
captured = capsys.readouterr()
assert "FEATURE ADDED TO YOUR PROJECT" in captured.out
assert "What changed" in captured.out
assert "+ 5 files added" in captured.out
assert "~ 3 files modified" in captured.out
assert "- 1 file deleted" in captured.out
def test_print_merge_success_singular_file_counts(self, capsys):
"""print_merge_success uses singular form for single file counts."""
from core.workspace.display import print_merge_success
stats = {
"files_added": 1,
"files_modified": 1,
"files_deleted": 1,
}
print_merge_success(no_commit=False, stats=stats)
captured = capsys.readouterr()
assert "+ 1 file added" in captured.out
assert "~ 1 file modified" in captured.out
assert "- 1 file deleted" in captured.out
def test_print_merge_success_with_keep_worktree(self, capsys):
"""print_merge_success with keep_worktree shows discard command."""
from core.workspace.display import print_merge_success
print_merge_success(no_commit=False, keep_worktree=True, spec_name="my-spec")
captured = capsys.readouterr()
assert "FEATURE ADDED TO YOUR PROJECT" in captured.out
assert "Worktree kept for testing" in captured.out
assert "--spec my-spec --discard" in captured.out
assert "separate workspace has been cleaned up" not in captured.out
def test_print_merge_success_zero_file_counts_not_shown(self, capsys):
"""print_merge_success doesn't show file types with zero count."""
from core.workspace.display import print_merge_success
stats = {
"files_added": 2,
"files_modified": 0,
"files_deleted": 0,
}
print_merge_success(no_commit=False, stats=stats)
captured = capsys.readouterr()
assert "+ 2 files added" in captured.out
assert "files modified" not in captured.out
assert "files deleted" not in captured.out
class TestPrintConflictInfoExtended:
"""Extended tests for print_conflict_info display function."""
def test_print_conflict_info_empty_conflicts(self, capsys):
"""print_conflict_info returns early with empty conflicts list."""
from core.workspace.display import print_conflict_info
result = {"conflicts": []}
print_conflict_info(result)
captured = capsys.readouterr()
assert captured.out == ""
def test_print_conflict_info_no_conflicts_key(self, capsys):
"""print_conflict_info returns early when conflicts key missing."""
from core.workspace.display import print_conflict_info
result = {}
print_conflict_info(result)
captured = capsys.readouterr()
assert captured.out == ""
def test_print_conflict_info_critical_severity(self, capsys):
"""print_conflict_info shows critical severity icon."""
from core.workspace.display import print_conflict_info
result = {
"conflicts": [
{
"file": "critical.py",
"reason": "Breaking change",
"severity": "critical",
}
]
}
print_conflict_info(result)
captured = capsys.readouterr()
assert "critical.py" in captured.out
assert "" in captured.out
assert "Breaking change" in captured.out
def test_print_conflict_info_high_severity(self, capsys):
"""print_conflict_info shows high severity icon."""
from core.workspace.display import print_conflict_info
result = {
"conflicts": [
{"file": "high.py", "reason": "Major conflict", "severity": "high"}
]
}
print_conflict_info(result)
captured = capsys.readouterr()
assert "high.py" in captured.out
assert "🔴" in captured.out
assert "Major conflict" in captured.out
def test_print_conflict_info_medium_severity(self, capsys):
"""print_conflict_info shows medium severity icon."""
from core.workspace.display import print_conflict_info
result = {
"conflicts": [
{"file": "medium.py", "reason": "Minor conflict", "severity": "medium"}
]
}
print_conflict_info(result)
captured = capsys.readouterr()
assert "medium.py" in captured.out
assert "🟡" in captured.out
assert "Minor conflict" in captured.out
def test_print_conflict_info_low_severity_no_icon(self, capsys):
"""print_conflict_info shows no icon for low severity."""
from core.workspace.display import print_conflict_info
result = {
"conflicts": [
{"file": "low.py", "reason": "Trivial issue", "severity": "low"}
]
}
print_conflict_info(result)
captured = capsys.readouterr()
assert "low.py" in captured.out
assert "Trivial issue" in captured.out
assert "" not in captured.out
assert "🔴" not in captured.out
assert "🟡" not in captured.out
def test_print_conflict_info_unknown_severity(self, capsys):
"""print_conflict_info handles unknown severity gracefully."""
from core.workspace.display import print_conflict_info
result = {
"conflicts": [
{"file": "unknown.py", "reason": "Unknown", "severity": "unknown"}
]
}
print_conflict_info(result)
captured = capsys.readouterr()
assert "unknown.py" in captured.out
assert "Unknown" in captured.out
def test_print_conflict_info_missing_file_key(self, capsys):
"""print_conflict_info handles missing file key."""
from core.workspace.display import print_conflict_info
result = {"conflicts": [{"reason": "No file specified", "severity": "high"}]}
print_conflict_info(result)
captured = capsys.readouterr()
assert "unknown" in captured.out
assert "No file specified" in captured.out
def test_print_conflict_info_missing_reason_key(self, capsys):
"""print_conflict_info handles missing reason key."""
from core.workspace.display import print_conflict_info
result = {"conflicts": [{"file": "noreason.py", "severity": "medium"}]}
print_conflict_info(result)
captured = capsys.readouterr()
assert "noreason.py" in captured.out
def test_print_conflict_info_dict_no_reason(self, capsys):
"""print_conflict_info with dict missing reason."""
from core.workspace.display import print_conflict_info
result = {"conflicts": [{"file": "test.py", "severity": "high"}]}
print_conflict_info(result)
captured = capsys.readouterr()
assert "test.py" in captured.out
assert "🔴" in captured.out
def test_print_conflict_info_multiple_conflicts(self, capsys):
"""print_conflict_info handles multiple conflicts."""
from core.workspace.display import print_conflict_info
result = {
"conflicts": [
{"file": "critical.py", "reason": "Critical", "severity": "critical"},
{"file": "high.py", "reason": "High", "severity": "high"},
{"file": "medium.py", "reason": "Medium", "severity": "medium"},
]
}
print_conflict_info(result)
captured = capsys.readouterr()
assert "3 file" in captured.out
assert "" in captured.out
assert "🔴" in captured.out
assert "🟡" in captured.out
def test_print_conflict_info_shows_marker_conflict_message(self, capsys):
"""print_conflict_info shows marker conflict message for string conflicts."""
from core.workspace.display import print_conflict_info
result = {"conflicts": ["conflict.py"]}
print_conflict_info(result)
captured = capsys.readouterr()
assert "conflict markers" in captured.out
# Check that the conflict markers are mentioned in the message
def test_print_conflict_info_shows_ai_conflict_message(self, capsys):
"""print_conflict_info shows AI conflict message for dict conflicts."""
from core.workspace.display import print_conflict_info
result = {
"conflicts": [
{
"file": "ai-conflict.py",
"reason": "AI merge failed",
"severity": "high",
}
]
}
print_conflict_info(result)
captured = capsys.readouterr()
assert "could not be auto-merged" in captured.out
def test_print_conflict_info_shows_both_messages_mixed(self, capsys):
"""print_conflict_info shows both messages for mixed conflicts."""
from core.workspace.display import print_conflict_info
result = {
"conflicts": [
"marker.py",
{"file": "ai.py", "reason": "AI failed", "severity": "high"},
]
}
print_conflict_info(result)
captured = capsys.readouterr()
assert "conflict markers" in captured.out
assert "could not be auto-merged" in captured.out
def test_print_conflict_info_shows_git_commands(self, capsys):
"""print_conflict_info shows git add and commit commands."""
from core.workspace.display import print_conflict_info
result = {"conflicts": ["file1.py", "file2.py"]}
print_conflict_info(result)
captured = capsys.readouterr()
assert "git add" in captured.out
assert "git commit" in captured.out
def test_print_conflict_info_quotes_special_paths(self, capsys):
"""print_conflict_info properly quotes file paths with special characters."""
from core.workspace.display import print_conflict_info
result = {"conflicts": ["file with spaces.py", "file'with'quotes.py"]}
print_conflict_info(result)
captured = capsys.readouterr()
# shlex.quote should quote paths with spaces
assert "git add" in captured.out
assert "file with spaces.py" in captured.out
def test_print_conflict_info_deduplicates_files(self, capsys):
"""print_conflict_info deduplicates file paths in git command."""
from core.workspace.display import print_conflict_info
result = {
"conflicts": [
"file1.py",
{"file": "file1.py", "reason": "Also here", "severity": "medium"},
"file2.py",
]
}
print_conflict_info(result)
captured = capsys.readouterr()
# Count occurrences of file1.py
count = captured.out.count("file1.py")
assert count == 3 # Display shows it twice (string + dict), once in git add
def test_print_conflict_info_preserves_order(self, capsys):
"""print_conflict_info preserves file order while deduplicating."""
from core.workspace.display import print_conflict_info
result = {
"conflicts": [
"first.py",
{"file": "second.py", "severity": "high"},
"first.py", # Duplicate
{"file": "third.py", "severity": "medium"},
]
}
print_conflict_info(result)
captured = capsys.readouterr()
# First occurrence should be preserved
lines = captured.out.split("\n")
first_idx = None
second_idx = None
for i, line in enumerate(lines):
if "first.py" in line:
if first_idx is None:
first_idx = i
if "second.py" in line:
if second_idx is None:
second_idx = i
assert first_idx is not None
assert second_idx is not None
class TestCopyEnvFilesToWorktree:
"""Tests for copy_env_files_to_worktree function."""
def test_copies_all_env_files(self, temp_git_repo: Path):
"""Copies all .env files when they exist in project dir."""
from core.workspace.setup import copy_env_files_to_worktree
# Create .env files in project
(temp_git_repo / ".env").write_text("FOO=bar", encoding="utf-8")
(temp_git_repo / ".env.local").write_text("LOCAL=1", encoding="utf-8")
(temp_git_repo / ".env.development").write_text("DEV=1", encoding="utf-8")
# Create worktree directory
worktree_path = (
temp_git_repo / ".auto-claude" / "worktrees" / "tasks" / "test-spec"
)
worktree_path.mkdir(parents=True)
# Copy env files
copied = copy_env_files_to_worktree(temp_git_repo, worktree_path)
# Check all files were copied
assert ".env" in copied
assert ".env.local" in copied
assert ".env.development" in copied
assert len(copied) == 3
# Verify files exist in worktree
assert (worktree_path / ".env").exists()
assert (worktree_path / ".env.local").exists()
assert (worktree_path / ".env.development").exists()
def test_skips_nonexistent_env_files(self, temp_git_repo: Path):
"""Only copies env files that exist."""
from core.workspace.setup import copy_env_files_to_worktree
worktree_path = (
temp_git_repo / ".auto-claude" / "worktrees" / "tasks" / "test-spec"
)
worktree_path.mkdir(parents=True)
copied = copy_env_files_to_worktree(temp_git_repo, worktree_path)
assert len(copied) == 0
def test_does_not_overwrite_existing_env_files(self, temp_git_repo: Path):
"""Does not overwrite .env files that already exist in worktree."""
from core.workspace.setup import copy_env_files_to_worktree
# Create .env in project
(temp_git_repo / ".env").write_text("PROJECT=1", encoding="utf-8")
worktree_path = (
temp_git_repo / ".auto-claude" / "worktrees" / "tasks" / "test-spec"
)
worktree_path.mkdir(parents=True)
# Create existing .env in worktree with different content
(worktree_path / ".env").write_text("WORKTREE=1", encoding="utf-8")
copied = copy_env_files_to_worktree(temp_git_repo, worktree_path)
# .env should not be in copied list since it already existed
assert ".env" not in copied
# Worktree .env should keep its original content
assert (worktree_path / ".env").read_text(encoding="utf-8") == "WORKTREE=1"
class TestSymlinkNodeModulesToWorktree:
"""Tests for symlink_node_modules_to_worktree function."""
@pytest.mark.skipif(sys.platform != "linux", reason="Unix-specific test")
def test_symlinks_node_modules_on_unix(self, temp_git_repo: Path):
"""Creates relative symlinks on Unix systems."""
from core.workspace.setup import symlink_node_modules_to_worktree
# Create node_modules in project
node_modules = temp_git_repo / "node_modules"
node_modules.mkdir()
(node_modules / "test.txt").write_text("test", encoding="utf-8")
# Create apps/frontend/node_modules
frontend_node_modules = temp_git_repo / "apps" / "frontend" / "node_modules"
frontend_node_modules.mkdir(parents=True)
(frontend_node_modules / "test2.txt").write_text("test2", encoding="utf-8")
# Create worktree
worktree_path = (
temp_git_repo / ".auto-claude" / "worktrees" / "tasks" / "test-spec"
)
worktree_path.mkdir(parents=True)
(worktree_path / "apps" / "frontend").mkdir(parents=True)
# Create symlinks
symlinked = symlink_node_modules_to_worktree(temp_git_repo, worktree_path)
assert len(symlinked) == 2
assert "node_modules" in symlinked
assert "apps/frontend/node_modules" in symlinked
# Verify symlinks exist and point to correct location
assert (worktree_path / "node_modules").is_symlink()
assert (worktree_path / "apps" / "frontend" / "node_modules").is_symlink()
@pytest.mark.skipif(sys.platform != "win32", reason="Windows-specific test")
def test_creates_junctions_on_windows(self, temp_git_repo: Path, monkeypatch):
"""Creates junctions on Windows systems."""
from unittest.mock import patch
from core.workspace.setup import symlink_node_modules_to_worktree
# Create node_modules in project
node_modules = temp_git_repo / "node_modules"
node_modules.mkdir()
(node_modules / "test.txt").write_text("test", encoding="utf-8")
# Create worktree
worktree_path = (
temp_git_repo / ".auto-claude" / "worktrees" / "tasks" / "test-spec"
)
worktree_path.mkdir(parents=True)
# Mock subprocess.run to simulate mklink /J success
def mock_subprocess_run(cmd, capture_output=False, text=False):
result = type("obj", (object,), {"returncode": 0, "stderr": ""})()
return result
with patch("subprocess.run", side_effect=mock_subprocess_run):
with monkeypatch.context() as m:
m.setattr("sys.platform", "win32")
symlinked = symlink_node_modules_to_worktree(
temp_git_repo, worktree_path
)
assert "node_modules" in symlinked
def test_skips_nonexistent_node_modules(self, temp_git_repo: Path):
"""Skips node_modules that don't exist in project."""
from core.workspace.setup import symlink_node_modules_to_worktree
worktree_path = (
temp_git_repo / ".auto-claude" / "worktrees" / "tasks" / "test-spec"
)
worktree_path.mkdir(parents=True)
symlinked = symlink_node_modules_to_worktree(temp_git_repo, worktree_path)
assert len(symlinked) == 0
def test_skips_existing_symlinks(self, temp_git_repo: Path):
"""Does not recreate symlinks that already exist."""
from core.workspace.setup import symlink_node_modules_to_worktree
# Create node_modules in project
node_modules = temp_git_repo / "node_modules"
node_modules.mkdir()
(node_modules / "test.txt").write_text("test", encoding="utf-8")
# Create worktree
worktree_path = (
temp_git_repo / ".auto-claude" / "worktrees" / "tasks" / "test-spec"
)
worktree_path.mkdir(parents=True)
# Create existing symlink
if sys.platform != "win32":
os.symlink(temp_git_repo / "node_modules", worktree_path / "node_modules")
symlinked = symlink_node_modules_to_worktree(temp_git_repo, worktree_path)
# Should skip existing symlink
assert "node_modules" not in symlinked
@@ -1,805 +0,0 @@
#!/usr/bin/env python3
"""
Tests for Workspace Selection and Management
=============================================
Tests the workspace.py module functionality including:
- Workspace mode selection (isolated vs direct)
- Uncommitted changes detection
- Workspace setup
- Build finalization workflows
"""
import json
import os
import shutil
import subprocess
import sys
from pathlib import Path
import pytest
# Add parent directory to path so we can import the workspace module
# When co-located at workspace/tests/, we need to add backend to path
# workspace/tests -> workspace -> core -> backend (4 levels up)
_backend = Path(__file__).resolve().parent.parent.parent.parent
sys.path.insert(0, str(_backend))
from core.workspace import (
WorkspaceChoice,
WorkspaceMode,
get_current_branch,
get_existing_build_worktree,
has_uncommitted_changes,
setup_workspace,
)
from worktree import WorktreeError, WorktreeManager
# Test constant - in the new per-spec architecture, each spec has its own worktree
# named after the spec itself. This constant is used for test assertions.
TEST_SPEC_NAME = "test-spec"
# =============================================================================
# TESTS FOR finalization.py
# =============================================================================
class TestFinalizeWorkspace:
"""Tests for finalize_workspace function."""
def test_direct_mode_returns_merge(self, temp_git_repo: Path, monkeypatch, capsys):
"""Direct mode returns MERGE choice and shows completion message."""
from core.workspace.finalization import finalize_workspace
# Mock the UI functions
def mock_box(content, width=60, style="heavy"):
return content
monkeypatch.setattr("core.workspace.finalization.box", mock_box)
result = finalize_workspace(
temp_git_repo,
"test-spec",
manager=None,
auto_continue=False,
)
assert result == WorkspaceChoice.MERGE
captured = capsys.readouterr()
assert "BUILD COMPLETE" in captured.out
assert "directly to your project" in captured.out
def test_auto_continue_mode_returns_later(self, temp_git_repo: Path):
"""Auto-continue mode returns LATER choice."""
from core.workspace.finalization import finalize_workspace
manager = WorktreeManager(temp_git_repo)
spec_name = "test-spec"
# Create worktree info
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
result = finalize_workspace(
temp_git_repo,
spec_name,
manager=manager,
auto_continue=True,
)
assert result == WorkspaceChoice.LATER
def test_isolated_mode_shows_menu(self, temp_git_repo: Path, monkeypatch):
"""Isolated mode shows menu with test/review/merge/later options."""
from core.workspace.finalization import finalize_workspace
manager = WorktreeManager(temp_git_repo)
spec_name = "test-spec"
# Create worktree
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
# Mock select_menu to return "test"
def mock_select_menu(title, options, allow_quit):
return "test"
monkeypatch.setattr("core.workspace.finalization.select_menu", mock_select_menu)
result = finalize_workspace(
temp_git_repo,
spec_name,
manager=manager,
auto_continue=False,
)
assert result == WorkspaceChoice.TEST
class TestHandleWorkspaceChoice:
"""Tests for handle_workspace_choice function."""
def test_choice_test_shows_instructions(
self, temp_git_repo: Path, monkeypatch, capsys
):
"""TEST choice shows testing instructions."""
from core.workspace.finalization import handle_workspace_choice
manager = WorktreeManager(temp_git_repo)
spec_name = "test-spec"
# Create worktree
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
handle_workspace_choice(WorkspaceChoice.TEST, temp_git_repo, spec_name, manager)
captured = capsys.readouterr()
assert "TEST YOUR FEATURE" in captured.out
assert str(worktree_path) in captured.out
def test_choice_merge_calls_merge_worktree(
self, temp_git_repo: Path, monkeypatch, capsys
):
"""MERGE choice calls manager.merge_worktree."""
from core.workspace.finalization import handle_workspace_choice
manager = WorktreeManager(temp_git_repo)
spec_name = "test-spec"
# Create worktree and commit something
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
(worktree_path / "test.py").write_text("test", encoding="utf-8")
# Initialize git in worktree and commit
subprocess.run(["git", "init"], cwd=worktree_path, capture_output=True)
subprocess.run(
["git", "config", "user.email", "test@example.com"],
cwd=worktree_path,
capture_output=True,
)
subprocess.run(
["git", "config", "user.name", "Test"],
cwd=worktree_path,
capture_output=True,
)
subprocess.run(["git", "add", "."], cwd=worktree_path, capture_output=True)
subprocess.run(
["git", "commit", "-m", "Test"], cwd=worktree_path, capture_output=True
)
handle_workspace_choice(
WorkspaceChoice.MERGE, temp_git_repo, spec_name, manager
)
captured = capsys.readouterr()
assert "Adding changes" in captured.out
def test_choice_review_shows_changed_files(
self, temp_git_repo: Path, monkeypatch, capsys
):
"""REVIEW choice shows changed files."""
from core.workspace.finalization import handle_workspace_choice
manager = WorktreeManager(temp_git_repo)
spec_name = "test-spec"
# Create worktree
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
# Mock show_changed_files
mock_shown = []
def mock_show_changed_files(manager, spec_name):
mock_shown.append(spec_name)
monkeypatch.setattr(
"core.workspace.finalization.show_changed_files", mock_show_changed_files
)
handle_workspace_choice(
WorkspaceChoice.REVIEW, temp_git_repo, spec_name, manager
)
assert len(mock_shown) == 1
assert mock_shown[0] == spec_name
captured = capsys.readouterr()
assert "To see full details" in captured.out
def test_choice_later_shows_deferred_message(
self, temp_git_repo: Path, monkeypatch, capsys
):
"""LATER choice shows deferral message."""
from core.workspace.finalization import handle_workspace_choice
manager = WorktreeManager(temp_git_repo)
spec_name = "test-spec"
# Create worktree
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
handle_workspace_choice(
WorkspaceChoice.LATER, temp_git_repo, spec_name, manager
)
captured = capsys.readouterr()
assert "No problem!" in captured.out
assert "saved" in captured.out
class TestReviewExistingBuild:
"""Tests for review_existing_build function."""
def test_no_existing_build_shows_warning(self, temp_git_repo: Path, capsys):
"""Shows warning when no existing build found."""
from core.workspace.finalization import review_existing_build
result = review_existing_build(temp_git_repo, "nonexistent-spec")
assert result is False
captured = capsys.readouterr()
assert "No existing build found" in captured.out
def test_shows_build_contents(self, temp_git_repo: Path, capsys):
"""Shows build summary and changed files when build exists."""
from core.workspace.finalization import review_existing_build
spec_name = "test-spec"
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
result = review_existing_build(temp_git_repo, spec_name)
assert result is True
captured = capsys.readouterr()
assert "BUILD CONTENTS" in captured.out
class TestDiscardExistingBuild:
"""Tests for discard_existing_build function."""
def test_no_existing_build_returns_false(self, temp_git_repo: Path, capsys):
"""Returns False when no existing build found."""
from core.workspace.finalization import discard_existing_build
result = discard_existing_build(temp_git_repo, "nonexistent-spec")
assert result is False
captured = capsys.readouterr()
assert "No existing build found" in captured.out
def test_confirmation_deletes_build(self, temp_git_repo: Path, monkeypatch, capsys):
"""Deletes build when user types 'delete' to confirm."""
from core.workspace.finalization import discard_existing_build
spec_name = "test-spec"
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
# Mock input to return "delete"
monkeypatch.setattr("builtins.input", lambda: "delete")
result = discard_existing_build(temp_git_repo, spec_name)
assert result is True
captured = capsys.readouterr()
assert "Build deleted" in captured.out
def test_cancelled_confirmation_returns_false(
self, temp_git_repo: Path, monkeypatch, capsys
):
"""Returns False when user doesn't confirm."""
from core.workspace.finalization import discard_existing_build
spec_name = "test-spec"
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
# Mock input to return "no"
monkeypatch.setattr("builtins.input", lambda: "no")
result = discard_existing_build(temp_git_repo, spec_name)
assert result is False
captured = capsys.readouterr()
assert "Cancelled" in captured.out
class TestCheckExistingBuild:
"""Tests for check_existing_build function."""
def test_no_existing_build_returns_false(self, temp_git_repo: Path):
"""Returns False when no existing build."""
from core.workspace.finalization import check_existing_build
result = check_existing_build(temp_git_repo, "nonexistent-spec")
assert result is False
def test_shows_menu_for_existing_build(self, temp_git_repo: Path, monkeypatch):
"""Shows menu when existing build found."""
from core.workspace.finalization import check_existing_build
spec_name = "test-spec"
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
# Mock select_menu to return "continue"
def mock_select_menu(title, options, allow_quit):
return "continue"
monkeypatch.setattr("core.workspace.finalization.select_menu", mock_select_menu)
result = check_existing_build(temp_git_repo, spec_name)
assert result is True
def test_review_choice_reviews_and_continues(
self, temp_git_repo: Path, monkeypatch
):
"""Review choice reviews build then continues."""
from core.workspace.finalization import check_existing_build
spec_name = "test-spec"
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
review_called = []
def mock_review(project_dir, spec_name):
review_called.append(spec_name)
return True
def mock_select_menu(title, options, allow_quit):
return "review"
def mock_input(prompt):
return ""
monkeypatch.setattr(
"core.workspace.finalization.review_existing_build", mock_review
)
monkeypatch.setattr("core.workspace.finalization.select_menu", mock_select_menu)
monkeypatch.setattr("builtins.input", mock_input)
result = check_existing_build(temp_git_repo, spec_name)
assert result is True
assert spec_name in review_called
class TestListAllWorktrees:
"""Tests for list_all_worktrees function."""
def test_returns_empty_list_when_no_worktrees(self, temp_git_repo: Path):
"""Returns empty list when no worktrees exist."""
from core.workspace.finalization import list_all_worktrees
result = list_all_worktrees(temp_git_repo)
assert result == []
def test_lists_existing_worktrees(self, temp_git_repo: Path):
"""Returns list of existing worktrees."""
from core.workspace.finalization import list_all_worktrees
# Create worktrees
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
(worktrees_dir / "spec-001").mkdir()
(worktrees_dir / "spec-002").mkdir()
result = list_all_worktrees(temp_git_repo)
assert len(result) == 2
spec_names = {wt.spec_name for wt in result}
assert "spec-001" in spec_names
assert "spec-002" in spec_names
class TestCleanupAllWorktrees:
"""Tests for cleanup_all_worktrees function."""
def test_no_worktrees_returns_false(self, temp_git_repo: Path, capsys):
"""Returns False when no worktrees found."""
from core.workspace.finalization import cleanup_all_worktrees
result = cleanup_all_worktrees(temp_git_repo, confirm=False)
assert result is False
captured = capsys.readouterr()
assert "No worktrees found" in captured.out
def test_cleanup_without_confirmation(self, temp_git_repo: Path):
"""Cleans up worktrees when confirm=False."""
from core.workspace.finalization import cleanup_all_worktrees
# Create worktrees
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
spec1_path = worktrees_dir / "spec-001"
spec1_path.mkdir()
spec2_path = worktrees_dir / "spec-002"
spec2_path.mkdir()
result = cleanup_all_worktrees(temp_git_repo, confirm=False)
assert result is True
assert not spec1_path.exists()
assert not spec2_path.exists()
def test_cleanup_with_confirmation_yes(self, temp_git_repo: Path, monkeypatch):
"""Cleans up worktrees when user confirms with 'yes'."""
from core.workspace.finalization import cleanup_all_worktrees
# Create worktrees
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
spec1_path = worktrees_dir / "spec-001"
spec1_path.mkdir()
# Mock input to return "yes"
monkeypatch.setattr("builtins.input", lambda: "yes")
result = cleanup_all_worktrees(temp_git_repo, confirm=True)
assert result is True
assert not spec1_path.exists()
def test_cleanup_with_confirmation_no(self, temp_git_repo: Path, monkeypatch):
"""Cancels cleanup when user doesn't confirm."""
from core.workspace.finalization import cleanup_all_worktrees
# Create worktrees
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
spec1_path = worktrees_dir / "spec-001"
spec1_path.mkdir()
# Mock input to return "no"
monkeypatch.setattr("builtins.input", lambda: "no")
result = cleanup_all_worktrees(temp_git_repo, confirm=True)
assert result is False
assert spec1_path.exists() # Should still exist
def test_cleanup_with_confirmation_keyboard_interrupt(
self, temp_git_repo: Path, monkeypatch, capsys
):
"""Cancels cleanup when user presses Ctrl+C (KeyboardInterrupt)."""
from core.workspace.finalization import cleanup_all_worktrees
# Create worktrees
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
spec1_path = worktrees_dir / "spec-001"
spec1_path.mkdir()
# Mock input to raise KeyboardInterrupt
def mock_input(prompt=""):
raise KeyboardInterrupt()
monkeypatch.setattr("builtins.input", mock_input)
result = cleanup_all_worktrees(temp_git_repo, confirm=True)
assert result is False
assert spec1_path.exists() # Should still exist
captured = capsys.readouterr()
assert "Cancelled" in captured.out
class TestFinalizeWorkspaceBranchCoverage:
"""Additional tests for finalize_workspace to cover missing branches."""
def test_isolated_mode_merge_choice(self, temp_git_repo: Path, monkeypatch):
"""Isolated mode returns MERGE when user selects merge."""
from core.workspace.finalization import finalize_workspace
manager = WorktreeManager(temp_git_repo)
spec_name = "test-spec"
# Create worktree
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
# Mock select_menu to return "merge"
def mock_select_menu(title, options, allow_quit):
return "merge"
monkeypatch.setattr("core.workspace.finalization.select_menu", mock_select_menu)
result = finalize_workspace(
temp_git_repo,
spec_name,
manager=manager,
auto_continue=False,
)
assert result == WorkspaceChoice.MERGE
def test_isolated_mode_review_choice(self, temp_git_repo: Path, monkeypatch):
"""Isolated mode returns REVIEW when user selects review."""
from core.workspace.finalization import finalize_workspace
manager = WorktreeManager(temp_git_repo)
spec_name = "test-spec"
# Create worktree
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
# Mock select_menu to return "review"
def mock_select_menu(title, options, allow_quit):
return "review"
monkeypatch.setattr("core.workspace.finalization.select_menu", mock_select_menu)
result = finalize_workspace(
temp_git_repo,
spec_name,
manager=manager,
auto_continue=False,
)
assert result == WorkspaceChoice.REVIEW
def test_isolated_mode_later_choice(self, temp_git_repo: Path, monkeypatch):
"""Isolated mode returns LATER when user selects later."""
from core.workspace.finalization import finalize_workspace
manager = WorktreeManager(temp_git_repo)
spec_name = "test-spec"
# Create worktree
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
# Mock select_menu to return "later"
def mock_select_menu(title, options, allow_quit):
return "later"
monkeypatch.setattr("core.workspace.finalization.select_menu", mock_select_menu)
result = finalize_workspace(
temp_git_repo,
spec_name,
manager=manager,
auto_continue=False,
)
assert result == WorkspaceChoice.LATER
class TestHandleWorkspaceChoiceBranchCoverage:
"""Additional tests for handle_workspace_choice to cover missing branches."""
def test_choice_test_without_staging_path(self, temp_git_repo: Path, capsys):
"""TEST choice shows fallback instructions when staging_path is None."""
from core.workspace.finalization import handle_workspace_choice
manager = WorktreeManager(temp_git_repo)
spec_name = "test-spec"
# Create worktree directory (but not through manager, so no staging_path)
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
handle_workspace_choice(WorkspaceChoice.TEST, temp_git_repo, spec_name, manager)
captured = capsys.readouterr()
assert "TEST YOUR FEATURE" in captured.out
# Should show the fallback path
assert (
str(worktree_path) in captured.out
or f".auto-claude/worktrees/tasks/{spec_name}" in captured.out
)
def test_choice_merge_success(self, temp_git_repo: Path, capsys):
"""MERGE choice shows success message when merge succeeds."""
from core.workspace.finalization import handle_workspace_choice
from worktree import WorktreeManager
# Setup a proper isolated workspace with git worktree
working_dir, manager, _ = setup_workspace(
temp_git_repo,
"test-spec",
WorkspaceMode.ISOLATED,
)
# Make changes and commit
(working_dir / "test.py").write_text("test content", encoding="utf-8")
subprocess.run(["git", "add", "."], cwd=working_dir, capture_output=True)
subprocess.run(
["git", "commit", "-m", "Add test"], cwd=working_dir, capture_output=True
)
handle_workspace_choice(
WorkspaceChoice.MERGE, temp_git_repo, "test-spec", manager
)
captured = capsys.readouterr()
assert "Your feature has been added" in captured.out
def test_choice_later_without_staging_path(self, temp_git_repo: Path, capsys):
"""LATER choice shows fallback path when staging_path is None."""
from core.workspace.finalization import handle_workspace_choice
manager = WorktreeManager(temp_git_repo)
spec_name = "test-spec"
# Create worktree directory (but not through manager, so no staging_path)
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
handle_workspace_choice(
WorkspaceChoice.LATER, temp_git_repo, spec_name, manager
)
captured = capsys.readouterr()
assert "No problem!" in captured.out
# Should show the fallback path
assert (
str(worktree_path) in captured.out
or f".auto-claude/worktrees/tasks/{spec_name}" in captured.out
)
class TestDiscardExistingBuildBranchCoverage:
"""Additional tests for discard_existing_build to cover missing branches."""
def test_keyboard_interrupt_cancels_discard(
self, temp_git_repo: Path, monkeypatch, capsys
):
"""KeyboardInterrupt during confirmation returns False."""
from core.workspace.finalization import discard_existing_build
spec_name = "test-spec"
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
# Mock input to raise KeyboardInterrupt
def mock_input(prompt=""):
raise KeyboardInterrupt()
monkeypatch.setattr("builtins.input", mock_input)
result = discard_existing_build(temp_git_repo, spec_name)
assert result is False
captured = capsys.readouterr()
assert "Cancelled" in captured.out
class TestCheckExistingBuildBranchCoverage:
"""Additional tests for check_existing_build to cover missing branches."""
def test_none_choice_exits(self, temp_git_repo: Path, monkeypatch):
"""None choice (quit) calls sys.exit(0)."""
import sys
from core.workspace.finalization import check_existing_build
spec_name = "test-spec"
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
# Mock select_menu to return None (quit)
def mock_select_menu(title, options, allow_quit):
return None
monkeypatch.setattr("core.workspace.finalization.select_menu", mock_select_menu)
# Should raise SystemExit
with pytest.raises(SystemExit) as exc_info:
check_existing_build(temp_git_repo, spec_name)
assert exc_info.value.code == 0
def test_merge_choice_merges_and_returns_false(
self, temp_git_repo: Path, monkeypatch
):
"""Merge choice calls merge_existing_build and returns False."""
from unittest.mock import MagicMock
from core.workspace.finalization import check_existing_build
spec_name = "test-spec"
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
merge_called = []
def mock_merge_existing_build(project_dir, spec_name):
merge_called.append(spec_name)
def mock_select_menu(title, options, allow_quit):
return "merge"
monkeypatch.setattr("core.workspace.finalization.select_menu", mock_select_menu)
# Mock the workspace module import
import workspace as ws
original_merge = getattr(ws, "merge_existing_build", None)
ws.merge_existing_build = mock_merge_existing_build
try:
result = check_existing_build(temp_git_repo, spec_name)
assert result is False
assert spec_name in merge_called
finally:
if original_merge:
ws.merge_existing_build = original_merge
def test_fresh_choice_discards_and_returns_false(
self, temp_git_repo: Path, monkeypatch
):
"""Fresh choice discards build and returns False (start fresh)."""
from core.workspace.finalization import check_existing_build
spec_name = "test-spec"
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_path = worktrees_dir / spec_name
worktree_path.mkdir(parents=True)
def mock_select_menu(title, options, allow_quit):
return "fresh"
monkeypatch.setattr("core.workspace.finalization.select_menu", mock_select_menu)
# Mock input to return "delete" for confirmation
monkeypatch.setattr("builtins.input", lambda: "delete")
result = check_existing_build(temp_git_repo, spec_name)
assert result is False, "Fresh choice should return False"
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@@ -1,638 +0,0 @@
#!/usr/bin/env python3
"""
Tests for Workspace Models
==========================
Tests the workspace.py module models including:
- WorkspaceMode enum
- WorkspaceChoice enum
- ParallelMergeTask
- ParallelMergeResult
- MergeLock and MergeLockError
- SpecNumberLock and SpecNumberLockError
"""
import os
import subprocess
import sys
from pathlib import Path
import pytest
# Add parent directory to path so we can import the workspace module
# When co-located at workspace/tests/, we need to add backend to path
# workspace/tests -> workspace -> core -> backend (4 levels up)
_backend = Path(__file__).resolve().parent.parent.parent.parent
sys.path.insert(0, str(_backend))
from core.workspace.models import (
MergeLock,
MergeLockError,
ParallelMergeResult,
ParallelMergeTask,
SpecNumberLock,
SpecNumberLockError,
)
from worktree import WorktreeError, WorktreeManager
# Test constant - in the new per-spec architecture, each spec has its own worktree
# named after the spec itself. This constant is used for test assertions.
TEST_SPEC_NAME = "test-spec"
class TestWorkspaceMode:
"""Tests for WorkspaceMode enum."""
def test_isolated_mode(self):
"""ISOLATED mode value is correct."""
from core.workspace.models import WorkspaceMode
assert WorkspaceMode.ISOLATED.value == "isolated"
def test_direct_mode(self):
"""DIRECT mode value is correct."""
from core.workspace.models import WorkspaceMode
assert WorkspaceMode.DIRECT.value == "direct"
class TestWorkspaceChoice:
"""Tests for WorkspaceChoice enum."""
def test_merge_choice(self):
"""MERGE choice value is correct."""
from core.workspace.models import WorkspaceChoice
assert WorkspaceChoice.MERGE.value == "merge"
def test_review_choice(self):
"""REVIEW choice value is correct."""
from core.workspace.models import WorkspaceChoice
assert WorkspaceChoice.REVIEW.value == "review"
def test_test_choice(self):
"""TEST choice value is correct."""
from core.workspace.models import WorkspaceChoice
assert WorkspaceChoice.TEST.value == "test"
def test_later_choice(self):
"""LATER choice value is correct."""
from core.workspace.models import WorkspaceChoice
assert WorkspaceChoice.LATER.value == "later"
class TestParallelMergeTask:
"""Tests for ParallelMergeTask dataclass."""
def test_create_merge_task(self):
"""ParallelMergeTask can be instantiated with all fields."""
task = ParallelMergeTask(
file_path="src/example.py",
main_content="main content",
worktree_content="worktree content",
base_content="base content",
spec_name="test-spec",
project_dir=Path("/project"),
)
assert task.file_path == "src/example.py"
assert task.main_content == "main content"
assert task.worktree_content == "worktree content"
assert task.base_content == "base content"
assert task.spec_name == "test-spec"
assert task.project_dir == Path("/project")
def test_merge_task_with_none_base(self):
"""ParallelMergeTask can have None for base_content."""
task = ParallelMergeTask(
file_path="src/example.py",
main_content="main content",
worktree_content="worktree content",
base_content=None,
spec_name="test-spec",
project_dir=Path("/project"),
)
assert task.base_content is None
def test_merge_task_field_assignment(self):
"""ParallelMergeTask fields can be reassigned."""
task = ParallelMergeTask(
file_path="src/example.py",
main_content="main",
worktree_content="worktree",
base_content=None,
spec_name="spec-1",
project_dir=Path("/project"),
)
task.file_path = "src/updated.py"
task.main_content = "updated main"
task.worktree_content = "updated worktree"
task.base_content = "updated base"
task.spec_name = "spec-2"
task.project_dir = Path("/updated")
assert task.file_path == "src/updated.py"
assert task.main_content == "updated main"
assert task.worktree_content == "updated worktree"
assert task.base_content == "updated base"
assert task.spec_name == "spec-2"
assert task.project_dir == Path("/updated")
class TestParallelMergeResult:
"""Tests for ParallelMergeResult dataclass."""
def test_create_successful_result(self):
"""ParallelMergeResult can represent a successful merge."""
result = ParallelMergeResult(
file_path="src/example.py",
merged_content="merged content",
success=True,
error=None,
was_auto_merged=True,
)
assert result.file_path == "src/example.py"
assert result.merged_content == "merged content"
assert result.success is True
assert result.error is None
assert result.was_auto_merged is True
def test_create_failed_result(self):
"""ParallelMergeResult can represent a failed merge."""
result = ParallelMergeResult(
file_path="src/example.py",
merged_content=None,
success=False,
error="Merge conflict occurred",
was_auto_merged=False,
)
assert result.file_path == "src/example.py"
assert result.merged_content is None
assert result.success is False
assert result.error == "Merge conflict occurred"
assert result.was_auto_merged is False
def test_result_default_values(self):
"""ParallelMergeResult has correct default values."""
result = ParallelMergeResult(
file_path="src/example.py",
merged_content="content",
success=True,
)
assert result.error is None
assert result.was_auto_merged is False
def test_result_field_assignment(self):
"""ParallelMergeResult fields can be reassigned."""
result = ParallelMergeResult(
file_path="src/example.py",
merged_content="merged",
success=True,
error=None,
was_auto_merged=False,
)
result.file_path = "src/updated.py"
result.merged_content = "updated merged"
result.success = False
result.error = "New error"
result.was_auto_merged = True
assert result.file_path == "src/updated.py"
assert result.merged_content == "updated merged"
assert result.success is False
assert result.error == "New error"
assert result.was_auto_merged is True
class TestMergeLockError:
"""Tests for MergeLockError exception."""
def test_merge_lock_error_creation(self):
"""MergeLockError can be instantiated with a message."""
error = MergeLockError("Could not acquire lock")
assert str(error) == "Could not acquire lock"
def test_merge_lock_error_is_exception(self):
"""MergeLockError is an Exception subclass."""
error = MergeLockError("test")
assert isinstance(error, Exception)
assert isinstance(error, MergeLockError)
def test_raise_merge_lock_error(self):
"""MergeLockError can be raised and caught."""
with pytest.raises(MergeLockError) as exc_info:
raise MergeLockError("Lock timeout")
assert str(exc_info.value) == "Lock timeout"
class TestMergeLock:
"""Tests for MergeLock context manager."""
def test_merge_lock_initialization(self, temp_git_repo: Path):
"""MergeLock initializes with correct paths."""
lock = MergeLock(temp_git_repo, "test-spec")
assert lock.project_dir == temp_git_repo
assert lock.spec_name == "test-spec"
assert lock.lock_dir == temp_git_repo / ".auto-claude" / ".locks"
assert lock.lock_file == lock.lock_dir / "merge-test-spec.lock"
assert lock.acquired is False
def test_merge_lock_acquire_and_release(self, temp_git_repo: Path):
"""MergeLock can be acquired and released."""
lock = MergeLock(temp_git_repo, "test-spec")
with lock:
assert lock.acquired is True
assert lock.lock_file.exists()
# After context, lock should be released
assert lock.lock_file.exists() is False
def test_merge_lock_creates_lock_dir(self, temp_git_repo: Path):
"""MergeLock creates lock directory if it doesn't exist."""
lock = MergeLock(temp_git_repo, "test-spec")
# Remove lock dir if it exists
if lock.lock_dir.exists():
lock.lock_dir.rmdir()
with lock:
assert lock.lock_dir.exists()
def test_merge_lock_writes_pid(self, temp_git_repo: Path):
"""MergeLock writes current PID to lock file."""
lock = MergeLock(temp_git_repo, "test-spec")
with lock:
pid_content = lock.lock_file.read_text(encoding="utf-8").strip()
assert pid_content == str(os.getpid())
@pytest.mark.slow
def test_merge_lock_timeout_on_contention(self, temp_git_repo: Path):
"""MergeLock raises MergeLockError when lock is held by another process."""
lock1 = MergeLock(temp_git_repo, "test-spec")
# Acquire first lock
lock1.__enter__()
try:
# Create a second lock for the same spec
lock2 = MergeLock(temp_git_repo, "test-spec")
# This should timeout because lock1 holds the lock
with pytest.raises(MergeLockError) as exc_info:
lock2.__enter__()
assert "Could not acquire merge lock" in str(exc_info.value)
assert "test-spec" in str(exc_info.value)
assert "after 30s" in str(exc_info.value)
finally:
lock1.__exit__(None, None, None)
def test_merge_lock_removes_stale_lock(self, temp_git_repo: Path):
"""MergeLock removes stale lock from dead process."""
lock1 = MergeLock(temp_git_repo, "test-spec")
with lock1:
# Write a fake PID that doesn't exist
fake_pid = 999999
lock1.lock_file.write_text(str(fake_pid), encoding="utf-8")
# Create a new lock - it should remove the stale lock
lock2 = MergeLock(temp_git_repo, "test-spec")
with lock2:
assert lock2.acquired is True
def test_merge_lock_handles_invalid_pid(self, temp_git_repo: Path):
"""MergeLock handles invalid PID in lock file."""
lock1 = MergeLock(temp_git_repo, "test-spec")
with lock1:
# Write invalid content to lock file
lock1.lock_file.write_text("invalid-pid", encoding="utf-8")
# Create a new lock - it should remove the invalid lock
lock2 = MergeLock(temp_git_repo, "test-spec")
with lock2:
assert lock2.acquired is True
def test_merge_lock_cleanup_on_exception(self, temp_git_repo: Path):
"""MergeLock releases lock even if exception occurs in context."""
lock = MergeLock(temp_git_repo, "test-spec")
try:
with lock:
assert lock.acquired is True
raise ValueError("Test exception")
except ValueError:
pass
# Lock should be released despite exception
assert lock.lock_file.exists() is False
def test_merge_lock_idempotent_release(self, temp_git_repo: Path):
"""MergeLock __exit__ can be called multiple times safely."""
lock = MergeLock(temp_git_repo, "test-spec")
with lock:
pass
# Call __exit__ again - should not raise
lock.__exit__(None, None, None)
lock.__exit__(None, None, None)
def test_merge_lock_different_specs_dont_conflict(self, temp_git_repo: Path):
"""MergeLock for different specs can be held simultaneously."""
lock1 = MergeLock(temp_git_repo, "spec-1")
lock2 = MergeLock(temp_git_repo, "spec-2")
with lock1:
with lock2:
assert lock1.acquired is True
assert lock2.acquired is True
assert lock1.lock_file != lock2.lock_file
class TestSpecNumberLockError:
"""Tests for SpecNumberLockError exception."""
def test_spec_number_lock_error_creation(self):
"""SpecNumberLockError can be instantiated with a message."""
error = SpecNumberLockError("Could not acquire spec numbering lock")
assert str(error) == "Could not acquire spec numbering lock"
def test_spec_number_lock_error_is_exception(self):
"""SpecNumberLockError is an Exception subclass."""
error = SpecNumberLockError("test")
assert isinstance(error, Exception)
assert isinstance(error, SpecNumberLockError)
def test_raise_spec_number_lock_error(self):
"""SpecNumberLockError can be raised and caught."""
with pytest.raises(SpecNumberLockError) as exc_info:
raise SpecNumberLockError("Lock timeout")
assert str(exc_info.value) == "Lock timeout"
class TestSpecNumberLock:
"""Tests for SpecNumberLock context manager."""
def test_spec_number_lock_initialization(self, temp_git_repo: Path):
"""SpecNumberLock initializes with correct paths."""
lock = SpecNumberLock(temp_git_repo)
assert lock.project_dir == temp_git_repo
assert lock.lock_dir == temp_git_repo / ".auto-claude" / ".locks"
assert lock.lock_file == lock.lock_dir / "spec-numbering.lock"
assert lock.acquired is False
assert lock._global_max is None
def test_spec_number_lock_acquire_and_release(self, temp_git_repo: Path):
"""SpecNumberLock can be acquired and released."""
lock = SpecNumberLock(temp_git_repo)
with lock:
assert lock.acquired is True
assert lock.lock_file.exists()
# After context, lock should be released
assert lock.lock_file.exists() is False
def test_spec_number_lock_creates_lock_dir(self, temp_git_repo: Path):
"""SpecNumberLock creates lock directory if it doesn't exist."""
lock = SpecNumberLock(temp_git_repo)
# Remove lock dir if it exists
if lock.lock_dir.exists():
lock.lock_dir.rmdir()
with lock:
assert lock.lock_dir.exists()
def test_spec_number_lock_writes_pid(self, temp_git_repo: Path):
"""SpecNumberLock writes current PID to lock file."""
lock = SpecNumberLock(temp_git_repo)
with lock:
pid_content = lock.lock_file.read_text(encoding="utf-8").strip()
assert pid_content == str(os.getpid())
def test_get_next_spec_number_no_existing_specs(self, temp_git_repo: Path):
"""get_next_spec_number returns 1 when no specs exist."""
lock = SpecNumberLock(temp_git_repo)
with lock:
next_num = lock.get_next_spec_number()
assert next_num == 1
def test_get_next_spec_number_with_existing_specs(self, temp_git_repo: Path):
"""get_next_spec_number returns max existing spec number + 1."""
# Create spec directories
specs_dir = temp_git_repo / ".auto-claude" / "specs"
specs_dir.mkdir(parents=True)
(specs_dir / "001-first").mkdir()
(specs_dir / "003-third").mkdir()
lock = SpecNumberLock(temp_git_repo)
with lock:
next_num = lock.get_next_spec_number()
assert next_num == 4
def test_get_next_spec_number_caches_result(self, temp_git_repo: Path):
"""get_next_spec_number caches the global max."""
specs_dir = temp_git_repo / ".auto-claude" / "specs"
specs_dir.mkdir(parents=True)
(specs_dir / "005-test").mkdir()
lock = SpecNumberLock(temp_git_repo)
with lock:
next_num1 = lock.get_next_spec_number()
next_num2 = lock.get_next_spec_number()
# Should return the same value (cached)
assert next_num1 == next_num2 == 6
assert lock._global_max == 5
def test_get_next_spec_number_requires_lock(self, temp_git_repo: Path):
"""get_next_spec_number raises SpecNumberLockError if lock not acquired."""
lock = SpecNumberLock(temp_git_repo)
with pytest.raises(SpecNumberLockError) as exc_info:
lock.get_next_spec_number()
assert "Lock must be acquired" in str(exc_info.value)
def test_get_next_spec_number_scans_worktrees(self, temp_git_repo: Path):
"""get_next_spec_number scans all worktree spec directories."""
# Create main project specs
main_specs = temp_git_repo / ".auto-claude" / "specs"
main_specs.mkdir(parents=True)
(main_specs / "002-main").mkdir()
# Create worktree with specs
worktrees_dir = temp_git_repo / ".auto-claude" / "worktrees" / "tasks"
worktrees_dir.mkdir(parents=True)
worktree_spec_dir = worktrees_dir / "test-worktree" / ".auto-claude" / "specs"
worktree_spec_dir.mkdir(parents=True)
(worktree_spec_dir / "005-worktree").mkdir()
lock = SpecNumberLock(temp_git_repo)
with lock:
next_num = lock.get_next_spec_number()
# Should find max of 2 and 5, return 6
assert next_num == 6
def test_scan_specs_dir_nonexistent(self, temp_git_repo: Path):
"""_scan_specs_dir returns 0 for nonexistent directory."""
lock = SpecNumberLock(temp_git_repo)
with lock:
# Use a path inside temp_dir that doesn't exist
nonexistent = temp_git_repo / "this_does_not_exist_specs"
result = lock._scan_specs_dir(nonexistent)
assert result == 0
def test_scan_specs_dir_ignores_invalid_names(self, temp_git_repo: Path):
"""_scan_specs_dir ignores directories with invalid spec names."""
specs_dir = temp_git_repo / ".auto-claude" / "specs"
specs_dir.mkdir(parents=True)
(specs_dir / "001-valid").mkdir()
(specs_dir / "invalid-name").mkdir()
(specs_dir / "abc").mkdir()
(specs_dir / "100-valid").mkdir()
lock = SpecNumberLock(temp_git_repo)
with lock:
result = lock._scan_specs_dir(specs_dir)
# Should only count 001 and 100
assert result == 100
@pytest.mark.slow
def test_spec_number_lock_timeout_on_contention(self, temp_git_repo: Path):
"""SpecNumberLock raises SpecNumberLockError when lock is held."""
lock1 = SpecNumberLock(temp_git_repo)
# Acquire first lock
lock1.__enter__()
try:
# Create a second lock
lock2 = SpecNumberLock(temp_git_repo)
# This should timeout because lock1 holds the lock
with pytest.raises(SpecNumberLockError) as exc_info:
lock2.__enter__()
assert "Could not acquire spec numbering lock" in str(exc_info.value)
assert "after 30s" in str(exc_info.value)
finally:
lock1.__exit__(None, None, None)
def test_spec_number_lock_removes_stale_lock(self, temp_git_repo: Path):
"""SpecNumberLock removes stale lock from dead process."""
lock1 = SpecNumberLock(temp_git_repo)
with lock1:
# Write a fake PID that doesn't exist
fake_pid = 999999
lock1.lock_file.write_text(str(fake_pid), encoding="utf-8")
# Create a new lock - it should remove the stale lock
lock2 = SpecNumberLock(temp_git_repo)
with lock2:
assert lock2.acquired is True
def test_spec_number_lock_handles_invalid_pid(self, temp_git_repo: Path):
"""SpecNumberLock handles invalid PID in lock file."""
lock1 = SpecNumberLock(temp_git_repo)
with lock1:
# Write invalid content to lock file
lock1.lock_file.write_text("invalid-pid", encoding="utf-8")
# Create a new lock - it should remove the invalid lock
lock2 = SpecNumberLock(temp_git_repo)
with lock2:
assert lock2.acquired is True
def test_spec_number_lock_cleanup_on_exception(self, temp_git_repo: Path):
"""SpecNumberLock releases lock even if exception occurs in context."""
lock = SpecNumberLock(temp_git_repo)
try:
with lock:
assert lock.acquired is True
raise ValueError("Test exception")
except ValueError:
pass
# Lock should be released despite exception
assert lock.lock_file.exists() is False
def test_spec_number_lock_idempotent_release(self, temp_git_repo: Path):
"""SpecNumberLock __exit__ can be called multiple times safely."""
lock = SpecNumberLock(temp_git_repo)
with lock:
pass
# Call __exit__ again - should not raise
lock.__exit__(None, None, None)
lock.__exit__(None, None, None)
def test_spec_number_lock_returns_self(self, temp_git_repo: Path):
"""SpecNumberLock __enter__ returns self."""
lock = SpecNumberLock(temp_git_repo)
with lock as entered_lock:
assert entered_lock is lock
def test_merge_success_returns_true(self, temp_git_repo: Path):
"""Successful merge returns True (ACS-163 verification)."""
manager = WorktreeManager(temp_git_repo)
manager.setup()
# Create a worktree with non-conflicting changes
worker_info = manager.create_worktree("worker-spec")
(worker_info.path / "worker-file.txt").write_text(
"worker content", encoding="utf-8"
)
subprocess.run(["git", "add", "."], cwd=worker_info.path, capture_output=True)
subprocess.run(
["git", "commit", "-m", "Worker commit"],
cwd=worker_info.path,
capture_output=True,
)
# Merge should succeed
result = manager.merge_worktree("worker-spec", delete_after=False)
assert result is True
# Verify the file was merged into base branch
subprocess.run(
["git", "checkout", manager.base_branch],
cwd=temp_git_repo,
capture_output=True,
)
assert (temp_git_repo / "worker-file.txt").exists(), (
"Merged file should exist in base branch"
)
merged_content = (temp_git_repo / "worker-file.txt").read_text(encoding="utf-8")
assert merged_content == "worker content", (
"Merged file should have worktree content"
)
@@ -1,293 +0,0 @@
#!/usr/bin/env python3
"""
Tests for Workspace Setup Operations
=====================================
Tests the setup functionality including:
- Spec copy to workspace operations
- Timeline hook installation
- Timeline tracking initialization
"""
import json
import os
import shutil
import subprocess
import sys
from pathlib import Path
import pytest
# Test constant - in the new per-spec architecture, each spec has its own worktree
# named after the spec itself. This constant is used for test assertions.
TEST_SPEC_NAME = "test-spec"
class TestCopySpecToWorktree:
"""Tests for copy_spec_to_worktree function."""
def test_copies_spec_files_to_worktree(self, temp_git_repo: Path):
"""Copies spec directory to worktree .auto-claude/specs/ location."""
from core.workspace.setup import copy_spec_to_worktree
# Create source spec directory
source_spec = temp_git_repo / "specs" / "test-spec"
source_spec.mkdir(parents=True)
(source_spec / "spec.md").write_text("# Test Spec", encoding="utf-8")
(source_spec / "requirements.json").write_text("{}", encoding="utf-8")
# Create worktree
worktree_path = (
temp_git_repo / ".auto-claude" / "worktrees" / "tasks" / "test-spec"
)
worktree_path.mkdir(parents=True)
# Copy spec
result = copy_spec_to_worktree(source_spec, worktree_path, "test-spec")
# Verify path is correct
expected = worktree_path / ".auto-claude" / "specs" / "test-spec"
assert result == expected
# Verify files were copied
assert (expected / "spec.md").exists()
assert (expected / "requirements.json").exists()
assert (expected / "spec.md").read_text(encoding="utf-8") == "# Test Spec"
def test_overwrites_existing_spec_in_worktree(self, temp_git_repo: Path):
"""Overwrites spec files if they already exist in worktree."""
from core.workspace.setup import copy_spec_to_worktree
# Create source spec
source_spec = temp_git_repo / "specs" / "test-spec"
source_spec.mkdir(parents=True)
(source_spec / "spec.md").write_text("# New Spec", encoding="utf-8")
# Create worktree with existing spec
worktree_path = (
temp_git_repo / ".auto-claude" / "worktrees" / "tasks" / "test-spec"
)
worktree_path.mkdir(parents=True)
existing_spec = worktree_path / ".auto-claude" / "specs" / "test-spec"
existing_spec.mkdir(parents=True)
(existing_spec / "spec.md").write_text("# Old Spec", encoding="utf-8")
# Copy spec
result = copy_spec_to_worktree(source_spec, worktree_path, "test-spec")
# Verify new content was copied
assert (result / "spec.md").read_text(encoding="utf-8") == "# New Spec"
def test_creates_parent_directories(self, temp_git_repo: Path):
"""Creates .auto-claude/specs directory if it doesn't exist."""
from core.workspace.setup import copy_spec_to_worktree
source_spec = temp_git_repo / "specs" / "test-spec"
source_spec.mkdir(parents=True)
(source_spec / "spec.md").write_text("# Test", encoding="utf-8")
worktree_path = (
temp_git_repo / ".auto-claude" / "worktrees" / "tasks" / "test-spec"
)
worktree_path.mkdir(parents=True)
result = copy_spec_to_worktree(source_spec, worktree_path, "test-spec")
# Parent directories should be created
assert result.exists()
assert (result.parent).exists()
class TestEnsureTimelineHookInstalled:
"""Tests for ensure_timeline_hook_installed function."""
def test_skips_if_not_git_repo(self, temp_dir: Path):
"""Skips hook installation if directory is not a git repo."""
from core.workspace.setup import ensure_timeline_hook_installed
# Should not raise exception
ensure_timeline_hook_installed(temp_dir)
def test_skips_if_hook_already_installed(self, temp_git_repo: Path, monkeypatch):
"""Skips if FileTimelineTracker hook is already installed."""
from core.workspace.setup import ensure_timeline_hook_installed
# Create hooks directory
hooks_dir = temp_git_repo / ".git" / "hooks"
hooks_dir.mkdir(parents=True, exist_ok=True)
# Create hook with FileTimelineTracker marker
hook_file = hooks_dir / "post-commit"
hook_file.write_text(
"#!/bin/sh\n# FileTimelineTracker hook\necho 'tracked'", encoding="utf-8"
)
# Mock install_hook to track if it was called
install_called = []
def mock_install_hook(project_dir):
install_called.append(True)
monkeypatch.setattr("merge.install_hook.install_hook", mock_install_hook)
ensure_timeline_hook_installed(temp_git_repo)
# install_hook should not be called
assert len(install_called) == 0
def test_installs_hook_if_missing(self, temp_git_repo: Path):
"""Installs hook if it doesn't exist."""
from core.workspace.setup import ensure_timeline_hook_installed
# Create hooks directory but no hook file
hooks_dir = temp_git_repo / ".git" / "hooks"
hooks_dir.mkdir(parents=True, exist_ok=True)
# This test verifies the function runs without error
# The actual install_hook call is hard to mock because it's imported locally
# In production, the real install_hook would be called
ensure_timeline_hook_installed(temp_git_repo)
# Verify hooks directory exists (function ran)
assert hooks_dir.exists()
class TestInitializeTimelineTracking:
"""Tests for initialize_timeline_tracking function."""
def test_with_implementation_plan(self, temp_git_repo: Path, monkeypatch):
"""Initializes tracking with files from implementation plan."""
from core.workspace.setup import initialize_timeline_tracking
# Create source spec with implementation plan
spec_name = "test-spec"
source_spec = temp_git_repo / ".auto-claude" / "specs" / spec_name
source_spec.mkdir(parents=True)
plan = {
"title": "Test Feature",
"description": "Test description",
"phases": [
{
"subtasks": [
{"files": ["app/main.py", "app/utils.py"]},
{"files": ["tests/test_main.py"]},
]
}
],
}
(source_spec / "implementation_plan.json").write_text(
json.dumps(plan), encoding="utf-8"
)
# Create worktree
worktree_path = (
temp_git_repo / ".auto-claude" / "worktrees" / "tasks" / spec_name
)
worktree_path.mkdir(parents=True)
# Mock FileTimelineTracker
mock_tracker_calls = []
class MockTracker:
def __init__(self, project_dir):
pass
def on_task_start(
self,
task_id,
files_to_modify,
branch_point_commit,
task_intent,
task_title,
):
mock_tracker_calls.append(
{
"task_id": task_id,
"files": files_to_modify,
"branch": branch_point_commit,
"intent": task_intent,
"title": task_title,
}
)
monkeypatch.setattr("core.workspace.setup.FileTimelineTracker", MockTracker)
initialize_timeline_tracking(
temp_git_repo, spec_name, worktree_path, source_spec
)
# Verify tracker was called with correct parameters
assert len(mock_tracker_calls) == 1
call = mock_tracker_calls[0]
assert call["task_id"] == spec_name
assert set(call["files"]) == {
"app/main.py",
"app/utils.py",
"tests/test_main.py",
}
assert call["title"] == "Test Feature"
assert call["intent"] == "Test description"
def test_without_implementation_plan(self, temp_git_repo: Path, monkeypatch):
"""Initializes tracking retroactively from worktree if no plan."""
from core.workspace.setup import initialize_timeline_tracking
spec_name = "test-spec"
worktree_path = (
temp_git_repo / ".auto-claude" / "worktrees" / "tasks" / spec_name
)
worktree_path.mkdir(parents=True)
# Mock FileTimelineTracker
mock_calls = []
class MockTracker:
def __init__(self, project_dir):
pass
def initialize_from_worktree(
self, task_id, worktree_path, task_intent, task_title
):
mock_calls.append(
{
"task_id": task_id,
"worktree": worktree_path,
"intent": task_intent,
"title": task_title,
}
)
monkeypatch.setattr("core.workspace.setup.FileTimelineTracker", MockTracker)
initialize_timeline_tracking(temp_git_repo, spec_name, worktree_path, None)
# Should use retroactive initialization
assert len(mock_calls) == 1
assert mock_calls[0]["task_id"] == spec_name
def test_handles_exception_gracefully(
self, temp_git_repo: Path, monkeypatch, capsys
):
"""Logs warning but doesn't raise exception on error."""
from core.workspace.setup import initialize_timeline_tracking
spec_name = "test-spec"
worktree_path = (
temp_git_repo / ".auto-claude" / "worktrees" / "tasks" / spec_name
)
worktree_path.mkdir(parents=True)
# Mock FileTimelineTracker to raise exception
class FailingTracker:
def __init__(self, project_dir):
raise Exception("Tracker init failed")
monkeypatch.setattr("core.workspace.setup.FileTimelineTracker", FailingTracker)
# Should not raise
initialize_timeline_tracking(temp_git_repo, spec_name, worktree_path, None)
# Should print warning
captured = capsys.readouterr()
assert "Timeline tracking" in captured.out or "Note:" in captured.out
File diff suppressed because it is too large Load Diff
-2
View File
@@ -29,7 +29,6 @@ class IdeationConfigManager:
thinking_level: str = "medium",
refresh: bool = False,
append: bool = False,
fast_mode: bool = False,
):
"""Initialize configuration manager.
@@ -65,7 +64,6 @@ class IdeationConfigManager:
self.model,
self.thinking_level,
self.max_ideas_per_type,
fast_mode=fast_mode,
)
self.analyzer = ProjectAnalyzer(
self.project_dir,
+5 -26
View File
@@ -17,12 +17,7 @@ from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent))
from client import create_client
from phase_config import (
get_model_betas,
get_thinking_budget,
get_thinking_kwargs_for_model,
resolve_model_id,
)
from phase_config import get_thinking_budget, resolve_model_id
from ui import print_status
# Ideation types
@@ -64,7 +59,6 @@ class IdeationGenerator:
model: str = "sonnet", # Changed from "opus" (fix #433)
thinking_level: str = "medium",
max_ideas_per_type: int = 5,
fast_mode: bool = False,
):
self.project_dir = Path(project_dir)
self.output_dir = Path(output_dir)
@@ -72,7 +66,6 @@ class IdeationGenerator:
self.thinking_level = thinking_level
self.thinking_budget = get_thinking_budget(thinking_level)
self.max_ideas_per_type = max_ideas_per_type
self.fast_mode = fast_mode
self.prompts_dir = Path(__file__).parent.parent / "prompts"
async def run_agent(
@@ -100,19 +93,12 @@ class IdeationGenerator:
# Create client with thinking budget
# Use agent_type="ideation" to avoid loading unnecessary MCP servers
# which can cause 60-second timeout delays
resolved_model = resolve_model_id(self.model)
betas = get_model_betas(self.model)
thinking_kwargs = get_thinking_kwargs_for_model(
resolved_model, self.thinking_level
)
client = create_client(
self.project_dir,
self.output_dir,
resolved_model,
resolve_model_id(self.model),
max_thinking_tokens=self.thinking_budget,
agent_type="ideation",
betas=betas,
fast_mode=self.fast_mode,
**thinking_kwargs,
)
try:
@@ -202,19 +188,12 @@ Write the fixed JSON to the file now.
"""
# Use agent_type="ideation" for recovery agent as well
resolved_model = resolve_model_id(self.model)
betas = get_model_betas(self.model)
thinking_kwargs = get_thinking_kwargs_for_model(
resolved_model, self.thinking_level
)
client = create_client(
self.project_dir,
self.output_dir,
resolved_model,
resolve_model_id(self.model),
max_thinking_tokens=self.thinking_budget,
agent_type="ideation",
betas=betas,
fast_mode=self.fast_mode,
**thinking_kwargs,
)
try:
-3
View File
@@ -46,7 +46,6 @@ class IdeationOrchestrator:
thinking_level: str = "medium",
refresh: bool = False,
append: bool = False,
fast_mode: bool = False,
):
"""Initialize the ideation orchestrator.
@@ -61,7 +60,6 @@ class IdeationOrchestrator:
thinking_level: Thinking level for extended reasoning
refresh: Force regeneration of existing files
append: Preserve existing ideas when merging
fast_mode: Enable Fast Mode for faster Opus 4.6 output
"""
# Initialize configuration manager
self.config_manager = IdeationConfigManager(
@@ -75,7 +73,6 @@ class IdeationOrchestrator:
thinking_level=thinking_level,
refresh=refresh,
append=append,
fast_mode=fast_mode,
)
# Expose configuration for convenience
+2 -2
View File
@@ -145,7 +145,7 @@ class GraphitiConfig:
# OpenRouter settings (multi-provider aggregator)
openrouter_api_key: str = ""
openrouter_base_url: str = "https://openrouter.ai/api"
openrouter_base_url: str = "https://openrouter.ai/api/v1"
openrouter_llm_model: str = "anthropic/claude-sonnet-4"
openrouter_embedding_model: str = "openai/text-embedding-3-small"
@@ -207,7 +207,7 @@ class GraphitiConfig:
# OpenRouter settings
openrouter_api_key = os.environ.get("OPENROUTER_API_KEY", "")
openrouter_base_url = os.environ.get(
"OPENROUTER_BASE_URL", "https://openrouter.ai/api"
"OPENROUTER_BASE_URL", "https://openrouter.ai/api/v1"
)
openrouter_llm_model = os.environ.get(
"OPENROUTER_LLM_MODEL", "anthropic/claude-sonnet-4"
@@ -0,0 +1,720 @@
#!/usr/bin/env python3
"""
Test Script for Memory Integration with LadybugDB
=================================================
This script tests the memory layer (graph + semantic search) to verify
data is being saved and retrieved correctly from LadybugDB (embedded Kuzu).
LadybugDB is an embedded graph database - no Docker required!
Usage:
# Set environment variables first (or in .env file):
export GRAPHITI_ENABLED=true
export GRAPHITI_EMBEDDER_PROVIDER=ollama # or: openai, voyage, azure_openai, google
# For Ollama (recommended - free, local):
export OLLAMA_EMBEDDING_MODEL=embeddinggemma
export OLLAMA_EMBEDDING_DIM=768
# For OpenAI:
export OPENAI_API_KEY=sk-...
# Run the test:
cd auto-claude
python integrations/graphiti/test_graphiti_memory.py
# Or run specific tests:
python integrations/graphiti/test_graphiti_memory.py --test connection
python integrations/graphiti/test_graphiti_memory.py --test save
python integrations/graphiti/test_graphiti_memory.py --test search
python integrations/graphiti/test_graphiti_memory.py --test ollama
"""
import argparse
import asyncio
import json
import os
import sys
from datetime import datetime, timezone
from pathlib import Path
# Add auto-claude to path
auto_claude_dir = Path(__file__).parent.parent.parent
sys.path.insert(0, str(auto_claude_dir))
# Load .env file
try:
from dotenv import load_dotenv
env_file = auto_claude_dir / ".env"
if env_file.exists():
load_dotenv(env_file)
print(f"Loaded .env from {env_file}")
except ImportError:
print("Note: python-dotenv not installed, using environment variables only")
def apply_ladybug_monkeypatch():
"""Apply LadybugDB monkeypatch for embedded database support."""
try:
import real_ladybug
sys.modules["kuzu"] = real_ladybug
return True
except ImportError:
pass
# Try native kuzu as fallback
try:
import kuzu # noqa: F401
return True
except ImportError:
return False
def print_header(title: str):
"""Print a section header."""
print("\n" + "=" * 60)
print(f" {title}")
print("=" * 60 + "\n")
def print_result(label: str, value: str, success: bool = True):
"""Print a result line."""
status = "" if success else ""
print(f" {status} {label}: {value}")
def print_info(message: str):
"""Print an info line."""
print(f" {message}")
async def test_ladybugdb_connection(db_path: str, database: str) -> bool:
"""Test basic LadybugDB connection."""
print_header("1. Testing LadybugDB Connection")
print(f" Database path: {db_path}")
print(f" Database name: {database}")
print()
if not apply_ladybug_monkeypatch():
print_result("LadybugDB", "Not installed (pip install real-ladybug)", False)
return False
print_result("LadybugDB", "Installed", True)
try:
import kuzu # This is real_ladybug via monkeypatch
# Ensure parent directory exists (database will create its own structure)
full_path = Path(db_path) / database
full_path.parent.mkdir(parents=True, exist_ok=True)
# Create database and connection
db = kuzu.Database(str(full_path))
conn = kuzu.Connection(db)
# Test basic query
result = conn.execute("RETURN 1 + 1 as test")
df = result.get_as_df()
test_value = df["test"].iloc[0] if len(df) > 0 else None
if test_value == 2:
print_result("Connection", "SUCCESS - Database responds correctly", True)
return True
else:
print_result("Connection", f"Unexpected result: {test_value}", False)
return False
except Exception as e:
print_result("Connection", f"FAILED: {e}", False)
return False
async def test_save_episode(db_path: str, database: str) -> tuple[str, str]:
"""Test saving an episode to the graph."""
print_header("2. Testing Episode Save")
try:
from integrations.graphiti.config import GraphitiConfig
from integrations.graphiti.queries_pkg.client import GraphitiClient
# Create config
config = GraphitiConfig.from_env()
config.db_path = db_path
config.database = database
config.enabled = True
print(f" Embedder provider: {config.embedder_provider}")
print()
# Initialize client
client = GraphitiClient(config)
initialized = await client.initialize()
if not initialized:
print_result("Client Init", "Failed to initialize", False)
return None, None
print_result("Client Init", "SUCCESS", True)
# Create test episode data
test_data = {
"type": "test_episode",
"timestamp": datetime.now(timezone.utc).isoformat(),
"test_field": "Hello from LadybugDB test!",
"test_number": 42,
"embedder": config.embedder_provider,
}
episode_name = f"test_episode_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
group_id = "ladybug_test_group"
print(f" Episode name: {episode_name}")
print(f" Group ID: {group_id}")
print(f" Data: {json.dumps(test_data, indent=4)}")
print()
# Save using Graphiti
from graphiti_core.nodes import EpisodeType
print(" Saving episode...")
await client.graphiti.add_episode(
name=episode_name,
episode_body=json.dumps(test_data),
source=EpisodeType.text,
source_description="Test episode from test_graphiti_memory.py",
reference_time=datetime.now(timezone.utc),
group_id=group_id,
)
print_result("Episode Save", "SUCCESS", True)
await client.close()
return episode_name, group_id
except ImportError as e:
print_result("Import", f"Missing dependency: {e}", False)
return None, None
except Exception as e:
print_result("Episode Save", f"FAILED: {e}", False)
import traceback
traceback.print_exc()
return None, None
async def test_keyword_search(db_path: str, database: str) -> bool:
"""Test keyword search (works without embeddings)."""
print_header("3. Testing Keyword Search")
if not apply_ladybug_monkeypatch():
print_result("LadybugDB", "Not installed", False)
return False
try:
import kuzu
full_path = Path(db_path) / database
if not full_path.exists():
print_info("Database doesn't exist yet - run save test first")
return True
db = kuzu.Database(str(full_path))
conn = kuzu.Connection(db)
# Search for test episodes
search_query = "test"
print(f" Search query: '{search_query}'")
print()
query = f"""
MATCH (e:Episodic)
WHERE toLower(e.name) CONTAINS '{search_query}'
OR toLower(e.content) CONTAINS '{search_query}'
RETURN e.name as name, e.content as content
LIMIT 5
"""
try:
result = conn.execute(query)
df = result.get_as_df()
print(f" Found {len(df)} results:")
for _, row in df.iterrows():
name = row.get("name", "unknown")[:50]
content = str(row.get("content", ""))[:60]
print(f" - {name}: {content}...")
print_result("Keyword Search", f"Found {len(df)} results", True)
return True
except Exception as e:
if "Episodic" in str(e) and "not exist" in str(e).lower():
print_info("Episodic table doesn't exist yet - run save test first")
return True
raise
except Exception as e:
print_result("Keyword Search", f"FAILED: {e}", False)
return False
async def test_semantic_search(db_path: str, database: str, group_id: str) -> bool:
"""Test semantic search using embeddings."""
print_header("4. Testing Semantic Search")
if not group_id:
print_info("Skipping - no group_id from save test")
return True
try:
from integrations.graphiti.config import GraphitiConfig
from integrations.graphiti.queries_pkg.client import GraphitiClient
# Create config
config = GraphitiConfig.from_env()
config.db_path = db_path
config.database = database
config.enabled = True
if not config.embedder_provider:
print_info("No embedder configured - semantic search requires embeddings")
return True
print(f" Embedder: {config.embedder_provider}")
print()
# Initialize client
client = GraphitiClient(config)
initialized = await client.initialize()
if not initialized:
print_result("Client Init", "Failed", False)
return False
# Search
query = "test episode hello LadybugDB"
print(f" Query: '{query}'")
print(f" Group ID: {group_id}")
print()
print(" Searching...")
results = await client.graphiti.search(
query=query,
group_ids=[group_id],
num_results=10,
)
print(f" Found {len(results)} results:")
for i, result in enumerate(results[:5]):
# Print available attributes
if hasattr(result, "fact") and result.fact:
print(f" {i + 1}. [fact] {str(result.fact)[:80]}...")
elif hasattr(result, "content") and result.content:
print(f" {i + 1}. [content] {str(result.content)[:80]}...")
elif hasattr(result, "name"):
print(f" {i + 1}. [name] {str(result.name)[:80]}...")
await client.close()
if results:
print_result(
"Semantic Search", f"SUCCESS - Found {len(results)} results", True
)
else:
print_result(
"Semantic Search", "No results (may need time for embedding)", False
)
return len(results) > 0
except Exception as e:
print_result("Semantic Search", f"FAILED: {e}", False)
import traceback
traceback.print_exc()
return False
async def test_ollama_embeddings() -> bool:
"""Test Ollama embedding generation directly."""
print_header("5. Testing Ollama Embeddings")
ollama_model = os.environ.get("OLLAMA_EMBEDDING_MODEL", "embeddinggemma")
ollama_base_url = os.environ.get("OLLAMA_BASE_URL", "http://localhost:11434")
print(f" Model: {ollama_model}")
print(f" Base URL: {ollama_base_url}")
print()
try:
import requests
# Check Ollama status
print(" Checking Ollama status...")
try:
resp = requests.get(f"{ollama_base_url}/api/tags", timeout=5)
if resp.status_code != 200:
print_result(
"Ollama", f"Not responding (status {resp.status_code})", False
)
return False
models = [m["name"] for m in resp.json().get("models", [])]
embedding_models = [
m for m in models if "embed" in m.lower() or "gemma" in m.lower()
]
print_result("Ollama", f"Running with {len(models)} models", True)
print(f" Embedding models: {embedding_models}")
except requests.exceptions.ConnectionError:
print_result("Ollama", "Not running - start with 'ollama serve'", False)
return False
# Test embedding generation
print()
print(" Generating test embedding...")
test_text = (
"This is a test embedding for Auto Claude memory system using LadybugDB."
)
resp = requests.post(
f"{ollama_base_url}/api/embeddings",
json={"model": ollama_model, "prompt": test_text},
timeout=30,
)
if resp.status_code == 200:
data = resp.json()
embedding = data.get("embedding", [])
print_result("Embedding", f"SUCCESS - {len(embedding)} dimensions", True)
print(f" First 5 values: {embedding[:5]}")
# Verify dimension matches config
expected_dim = int(os.environ.get("OLLAMA_EMBEDDING_DIM", 768))
if len(embedding) == expected_dim:
print_result("Dimension", f"Matches expected ({expected_dim})", True)
else:
print_result(
"Dimension",
f"Mismatch! Got {len(embedding)}, expected {expected_dim}",
False,
)
print_info(
f"Update OLLAMA_EMBEDDING_DIM={len(embedding)} in your config"
)
return True
else:
print_result(
"Embedding", f"FAILED: {resp.status_code} - {resp.text}", False
)
return False
except ImportError:
print_result("requests", "Not installed (pip install requests)", False)
return False
except Exception as e:
print_result("Ollama Embeddings", f"FAILED: {e}", False)
return False
async def test_graphiti_memory_class(db_path: str, database: str) -> bool:
"""Test the GraphitiMemory wrapper class."""
print_header("6. Testing GraphitiMemory Class")
try:
from integrations.graphiti.memory import GraphitiMemory
# Create temporary directories for testing
test_spec_dir = Path("/tmp/graphiti_test_spec")
test_spec_dir.mkdir(parents=True, exist_ok=True)
test_project_dir = Path("/tmp/graphiti_test_project")
test_project_dir.mkdir(parents=True, exist_ok=True)
print(f" Spec dir: {test_spec_dir}")
print(f" Project dir: {test_project_dir}")
print()
# Override database path via environment
os.environ["GRAPHITI_DB_PATH"] = db_path
os.environ["GRAPHITI_DATABASE"] = database
# Create memory instance
memory = GraphitiMemory(test_spec_dir, test_project_dir)
print(f" Is enabled: {memory.is_enabled}")
print(f" Group ID: {memory.group_id}")
print()
if not memory.is_enabled:
print_info("GraphitiMemory not enabled - check GRAPHITI_ENABLED=true")
return True
# Initialize
print(" Initializing...")
init_result = await memory.initialize()
if not init_result:
print_result("Initialize", "Failed", False)
return False
print_result("Initialize", "SUCCESS", True)
# Test save_session_insights
print()
print(" Testing save_session_insights...")
insights = {
"subtasks_completed": ["test-subtask-1"],
"discoveries": {
"files_understood": {"test.py": "Test file"},
"patterns_found": ["Pattern: LadybugDB works!"],
"gotchas_encountered": [],
},
"what_worked": ["Using embedded database"],
"what_failed": [],
"recommendations_for_next_session": ["Continue testing"],
}
save_result = await memory.save_session_insights(
session_num=1, insights=insights
)
print_result(
"save_session_insights", "SUCCESS" if save_result else "FAILED", save_result
)
# Test save_pattern
print()
print(" Testing save_pattern...")
pattern_result = await memory.save_pattern(
"LadybugDB pattern: Embedded graph database works without Docker"
)
print_result(
"save_pattern", "SUCCESS" if pattern_result else "FAILED", pattern_result
)
# Test get_relevant_context
print()
print(" Testing get_relevant_context...")
await asyncio.sleep(1) # Brief wait for processing
context = await memory.get_relevant_context("LadybugDB embedded database")
print(f" Found {len(context)} context items")
for item in context[:3]:
item_type = item.get("type", "unknown")
content = str(item.get("content", ""))[:60]
print(f" - [{item_type}] {content}...")
print_result("get_relevant_context", f"Found {len(context)} items", True)
# Get status
print()
print(" Status summary:")
status = memory.get_status_summary()
for key, value in status.items():
print(f" {key}: {value}")
await memory.close()
print_result("GraphitiMemory", "All tests passed", True)
return True
except ImportError as e:
print_result("Import", f"Missing: {e}", False)
return False
except Exception as e:
print_result("GraphitiMemory", f"FAILED: {e}", False)
import traceback
traceback.print_exc()
return False
async def test_database_contents(db_path: str, database: str) -> bool:
"""Show what's in the database (debug)."""
print_header("7. Database Contents (Debug)")
if not apply_ladybug_monkeypatch():
print_result("LadybugDB", "Not installed", False)
return False
try:
import kuzu
full_path = Path(db_path) / database
if not full_path.exists():
print_info(f"Database doesn't exist at {full_path}")
return True
db = kuzu.Database(str(full_path))
conn = kuzu.Connection(db)
# Get table info
print(" Checking tables...")
tables_to_check = ["Episodic", "Entity", "Community"]
for table in tables_to_check:
try:
result = conn.execute(f"MATCH (n:{table}) RETURN count(n) as count")
df = result.get_as_df()
count = df["count"].iloc[0] if len(df) > 0 else 0
print(f" {table}: {count} nodes")
except Exception as e:
if "not exist" in str(e).lower() or "cannot" in str(e).lower():
print(f" {table}: (table not created yet)")
else:
print(f" {table}: Error - {e}")
# Show sample episodic nodes
print()
print(" Sample Episodic nodes:")
try:
result = conn.execute("""
MATCH (e:Episodic)
RETURN e.name as name, e.created_at as created
ORDER BY e.created_at DESC
LIMIT 5
""")
df = result.get_as_df()
if len(df) == 0:
print(" (none)")
else:
for _, row in df.iterrows():
print(f" - {row.get('name', 'unknown')}")
except Exception as e:
if "Episodic" in str(e):
print(" (table not created yet)")
else:
print(f" Error: {e}")
print_result("Database Contents", "Displayed", True)
return True
except Exception as e:
print_result("Database Contents", f"FAILED: {e}", False)
return False
async def main():
"""Run all tests."""
parser = argparse.ArgumentParser(description="Test Memory System with LadybugDB")
parser.add_argument(
"--test",
choices=[
"all",
"connection",
"save",
"keyword",
"semantic",
"ollama",
"memory",
"contents",
],
default="all",
help="Which test to run",
)
parser.add_argument(
"--db-path",
default=os.path.expanduser("~/.auto-claude/memories"),
help="Database path",
)
parser.add_argument(
"--database",
default="test_memory",
help="Database name (use 'test_memory' for testing)",
)
args = parser.parse_args()
print("\n" + "=" * 60)
print(" MEMORY SYSTEM TEST SUITE (LadybugDB)")
print("=" * 60)
# Configuration check
print_header("0. Configuration Check")
print(f" Database path: {args.db_path}")
print(f" Database name: {args.database}")
print()
# Check environment
graphiti_enabled = os.environ.get("GRAPHITI_ENABLED", "").lower() == "true"
embedder_provider = os.environ.get("GRAPHITI_EMBEDDER_PROVIDER", "")
print_result("GRAPHITI_ENABLED", str(graphiti_enabled), graphiti_enabled)
print_result(
"GRAPHITI_EMBEDDER_PROVIDER",
embedder_provider or "(not set)",
bool(embedder_provider),
)
if embedder_provider == "ollama":
ollama_model = os.environ.get("OLLAMA_EMBEDDING_MODEL", "")
ollama_dim = os.environ.get("OLLAMA_EMBEDDING_DIM", "")
print_result(
"OLLAMA_EMBEDDING_MODEL", ollama_model or "(not set)", bool(ollama_model)
)
print_result(
"OLLAMA_EMBEDDING_DIM", ollama_dim or "(not set)", bool(ollama_dim)
)
elif embedder_provider == "openai":
has_key = bool(os.environ.get("OPENAI_API_KEY"))
print_result("OPENAI_API_KEY", "Set" if has_key else "Not set", has_key)
# Run tests based on selection
test = args.test
group_id = None
if test in ["all", "connection"]:
await test_ladybugdb_connection(args.db_path, args.database)
if test in ["all", "ollama"]:
await test_ollama_embeddings()
if test in ["all", "save"]:
_, group_id = await test_save_episode(args.db_path, args.database)
if group_id:
print("\n Waiting 2 seconds for embedding processing...")
await asyncio.sleep(2)
if test in ["all", "keyword"]:
await test_keyword_search(args.db_path, args.database)
if test in ["all", "semantic"]:
await test_semantic_search(
args.db_path, args.database, group_id or "ladybug_test_group"
)
if test in ["all", "memory"]:
await test_graphiti_memory_class(args.db_path, args.database)
if test in ["all", "contents"]:
await test_database_contents(args.db_path, args.database)
print_header("TEST SUMMARY")
print(" Tests completed. Check the results above for any failures.")
print()
print(" Quick commands:")
print(" # Run all tests:")
print(" python integrations/graphiti/test_graphiti_memory.py")
print()
print(" # Test just Ollama embeddings:")
print(" python integrations/graphiti/test_graphiti_memory.py --test ollama")
print()
print(" # Test with production database:")
print(
" python integrations/graphiti/test_graphiti_memory.py --database auto_claude_memory"
)
print()
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,862 @@
#!/usr/bin/env python3
"""
Test Script for Ollama Embedding Memory Integration
====================================================
This test validates that the memory system works correctly with local Ollama
embedding models (like embeddinggemma, nomic-embed-text) for creating and
retrieving memories in the hybrid RAG system.
The test covers:
1. Ollama embedding generation (direct API test)
2. Creating memories with Ollama embeddings via GraphitiMemory
3. Retrieving memories via semantic search
4. Verifying the full create store retrieve cycle
Prerequisites:
1. Install Ollama: https://ollama.ai/
2. Pull an embedding model:
ollama pull embeddinggemma # 768 dimensions (lightweight)
ollama pull nomic-embed-text # 768 dimensions (good quality)
3. Pull an LLM model (for knowledge graph construction):
ollama pull deepseek-r1:7b # or llama3.2:3b, mistral:7b
4. Start Ollama server: ollama serve
5. Configure environment:
export GRAPHITI_ENABLED=true
export GRAPHITI_LLM_PROVIDER=ollama
export GRAPHITI_EMBEDDER_PROVIDER=ollama
export OLLAMA_LLM_MODEL=deepseek-r1:7b
export OLLAMA_EMBEDDING_MODEL=embeddinggemma
export OLLAMA_EMBEDDING_DIM=768
NOTE: graphiti-core internally uses an OpenAI reranker for search ranking.
For full offline operation, set a dummy key: export OPENAI_API_KEY=dummy
The reranker will fail at search time, but embedding creation works.
For production, use OpenAI API key for best search quality.
Usage:
cd apps/backend
python integrations/graphiti/test_ollama_embedding_memory.py
# Run specific tests:
python integrations/graphiti/test_ollama_embedding_memory.py --test embeddings
python integrations/graphiti/test_ollama_embedding_memory.py --test create
python integrations/graphiti/test_ollama_embedding_memory.py --test retrieve
python integrations/graphiti/test_ollama_embedding_memory.py --test full-cycle
"""
import argparse
import asyncio
import os
import shutil
import sys
import tempfile
from datetime import datetime
from pathlib import Path
# Add auto-claude to path
auto_claude_dir = Path(__file__).parent.parent.parent
sys.path.insert(0, str(auto_claude_dir))
# Load .env file
try:
from dotenv import load_dotenv
env_file = auto_claude_dir / ".env"
if env_file.exists():
load_dotenv(env_file)
print(f"Loaded .env from {env_file}")
except ImportError:
print("Note: python-dotenv not installed, using environment variables only")
# ============================================================================
# Helper Functions
# ============================================================================
def print_header(title: str):
"""Print a section header."""
print("\n" + "=" * 70)
print(f" {title}")
print("=" * 70 + "\n")
def print_result(label: str, value: str, success: bool = True):
"""Print a result line."""
status = "PASS" if success else "FAIL"
print(f" [{status}] {label}: {value}")
def print_info(message: str):
"""Print an info line."""
print(f" INFO: {message}")
def print_step(step: int, message: str):
"""Print a step indicator."""
print(f"\n Step {step}: {message}")
def apply_ladybug_monkeypatch():
"""Apply LadybugDB monkeypatch for embedded database support."""
try:
import real_ladybug
sys.modules["kuzu"] = real_ladybug
return True
except ImportError:
pass
# Try native kuzu as fallback
try:
import kuzu # noqa: F401
return True
except ImportError:
return False
# ============================================================================
# Test 1: Ollama Embedding Generation
# ============================================================================
async def test_ollama_embeddings() -> bool:
"""
Test Ollama embedding generation directly via API.
This validates that Ollama is running and can generate embeddings
with the configured model.
"""
print_header("Test 1: Ollama Embedding Generation")
ollama_model = os.environ.get("OLLAMA_EMBEDDING_MODEL", "embeddinggemma")
ollama_base_url = os.environ.get("OLLAMA_BASE_URL", "http://localhost:11434")
expected_dim = int(os.environ.get("OLLAMA_EMBEDDING_DIM", "768"))
print(f" Ollama Model: {ollama_model}")
print(f" Base URL: {ollama_base_url}")
print(f" Expected Dimension: {expected_dim}")
print()
try:
import requests
except ImportError:
print_result("requests library", "Not installed - pip install requests", False)
return False
# Step 1: Check Ollama is running
print_step(1, "Checking Ollama server status")
try:
resp = requests.get(f"{ollama_base_url}/api/tags", timeout=10)
if resp.status_code != 200:
print_result(
"Ollama server",
f"Not responding (status {resp.status_code})",
False,
)
return False
models = resp.json().get("models", [])
model_names = [m.get("name", "") for m in models]
print_result("Ollama server", f"Running with {len(models)} models", True)
# Check if embedding model is available
embedding_model_found = any(
ollama_model in name or ollama_model.split(":")[0] in name
for name in model_names
)
if not embedding_model_found:
print_info(f"Model '{ollama_model}' not found. Available: {model_names}")
print_info(f"Pull it with: ollama pull {ollama_model}")
except requests.exceptions.ConnectionError:
print_result(
"Ollama server",
"Not running - start with 'ollama serve'",
False,
)
return False
# Step 2: Generate test embedding
print_step(2, "Generating test embeddings")
test_texts = [
"This is a test memory about implementing OAuth authentication.",
"The user prefers using TypeScript for frontend development.",
"A gotcha discovered: always validate JWT tokens on the server side.",
]
embeddings = []
for i, text in enumerate(test_texts):
resp = requests.post(
f"{ollama_base_url}/api/embeddings",
json={"model": ollama_model, "prompt": text},
timeout=60,
)
if resp.status_code != 200:
print_result(
f"Embedding {i + 1}",
f"Failed: {resp.status_code} - {resp.text[:100]}",
False,
)
return False
data = resp.json()
embedding = data.get("embedding", [])
embeddings.append(embedding)
print_result(
f"Embedding {i + 1}",
f"Generated {len(embedding)} dimensions",
True,
)
# Step 3: Validate embedding dimensions
print_step(3, "Validating embedding dimensions")
for i, embedding in enumerate(embeddings):
if len(embedding) != expected_dim:
print_result(
f"Embedding {i + 1} dimension",
f"Mismatch! Got {len(embedding)}, expected {expected_dim}",
False,
)
print_info(f"Update OLLAMA_EMBEDDING_DIM={len(embedding)} in your config")
return False
print_result(
f"Embedding {i + 1} dimension", f"{len(embedding)} matches expected", True
)
# Step 4: Test embedding similarity (basic sanity check)
print_step(4, "Testing embedding similarity")
def cosine_similarity(a, b):
"""Calculate cosine similarity between two vectors."""
dot_product = sum(x * y for x, y in zip(a, b))
norm_a = sum(x * x for x in a) ** 0.5
norm_b = sum(x * x for x in b) ** 0.5
return dot_product / (norm_a * norm_b) if norm_a and norm_b else 0
# Generate embedding for a similar query
query = "OAuth authentication implementation"
resp = requests.post(
f"{ollama_base_url}/api/embeddings",
json={"model": ollama_model, "prompt": query},
timeout=60,
)
query_embedding = resp.json().get("embedding", [])
similarities = [cosine_similarity(query_embedding, emb) for emb in embeddings]
print(f" Query: '{query}'")
print(" Similarities to test texts:")
for i, (text, sim) in enumerate(zip(test_texts, similarities)):
print(f" {i + 1}. {sim:.4f} - '{text[:50]}...'")
# First text (about OAuth) should have highest similarity to OAuth query
if similarities[0] > similarities[1] and similarities[0] > similarities[2]:
print_result("Semantic similarity", "OAuth query matches OAuth text best", True)
else:
print_info("Similarity ordering may vary - embeddings are still working")
print()
print_result("Ollama Embeddings", "All tests passed", True)
return True
# ============================================================================
# Test 2: Memory Creation with Ollama
# ============================================================================
async def test_memory_creation(test_db_path: Path) -> tuple[Path, Path, bool]:
"""
Test creating memories using GraphitiMemory with Ollama embeddings.
Returns:
Tuple of (spec_dir, project_dir, success)
"""
print_header("Test 2: Memory Creation with Ollama Embeddings")
# Create test directories
spec_dir = test_db_path / "test_spec"
project_dir = test_db_path / "test_project"
spec_dir.mkdir(parents=True, exist_ok=True)
project_dir.mkdir(parents=True, exist_ok=True)
print(f" Spec dir: {spec_dir}")
print(f" Project dir: {project_dir}")
print(f" Database path: {test_db_path}")
print()
# Override database path for testing
os.environ["GRAPHITI_DB_PATH"] = str(test_db_path / "graphiti_db")
os.environ["GRAPHITI_DATABASE"] = "test_ollama_memory"
try:
from integrations.graphiti.memory import GraphitiMemory
except ImportError as e:
print_result("Import GraphitiMemory", f"Failed: {e}", False)
return spec_dir, project_dir, False
# Step 1: Initialize GraphitiMemory
print_step(1, "Initializing GraphitiMemory")
memory = GraphitiMemory(spec_dir, project_dir)
print(f" Is enabled: {memory.is_enabled}")
print(f" Group ID: {memory.group_id}")
if not memory.is_enabled:
print_result(
"GraphitiMemory",
"Not enabled - check GRAPHITI_ENABLED=true",
False,
)
return spec_dir, project_dir, False
init_result = await memory.initialize()
if not init_result:
print_result("Initialize", "Failed to initialize", False)
return spec_dir, project_dir, False
print_result("Initialize", "SUCCESS", True)
# Step 2: Save session insights
print_step(2, "Saving session insights")
session_insights = {
"subtasks_completed": ["implement-oauth-login", "add-jwt-validation"],
"discoveries": {
"files_understood": {
"auth/oauth.py": "OAuth 2.0 flow implementation with Google/GitHub",
"auth/jwt.py": "JWT token generation and validation utilities",
},
"patterns_found": [
"Pattern: Use refresh tokens for long-lived sessions",
"Pattern: Store tokens in httpOnly cookies for security",
],
"gotchas_encountered": [
"Gotcha: Always validate JWT signature on server side",
"Gotcha: OAuth state parameter prevents CSRF attacks",
],
},
"what_worked": [
"Using PyJWT for token handling",
"Separating OAuth providers into individual modules",
],
"what_failed": [],
"recommendations_for_next_session": [
"Consider adding refresh token rotation",
"Add rate limiting to auth endpoints",
],
}
save_result = await memory.save_session_insights(
session_num=1, insights=session_insights
)
print_result(
"save_session_insights", "SUCCESS" if save_result else "FAILED", save_result
)
# Step 3: Save patterns
print_step(3, "Saving code patterns")
patterns = [
"OAuth implementation uses authorization code flow for web apps",
"JWT tokens include user ID, roles, and expiration in payload",
"Token refresh happens automatically when access token expires",
]
for i, pattern in enumerate(patterns):
result = await memory.save_pattern(pattern)
print_result(f"save_pattern {i + 1}", "SUCCESS" if result else "FAILED", result)
# Step 4: Save gotchas
print_step(4, "Saving gotchas (pitfalls)")
gotchas = [
"Never store config values in frontend code or files checked into git",
"API redirect URIs must exactly match the registered URIs",
"Cache expiration times should be short for performance (15 min default)",
]
for i, gotcha in enumerate(gotchas):
result = await memory.save_gotcha(gotcha)
print_result(f"save_gotcha {i + 1}", "SUCCESS" if result else "FAILED", result)
# Step 5: Save codebase discoveries
print_step(5, "Saving codebase discoveries")
discoveries = {
"api/routes/users.py": "User management API endpoints (list, create, update)",
"middleware/logging.py": "Request logging middleware for all routes",
"models/user.py": "User model with profile data and role management",
"services/notifications.py": "Notification service integrations (email, SMS, push)",
}
discovery_result = await memory.save_codebase_discoveries(discoveries)
print_result(
"save_codebase_discoveries",
"SUCCESS" if discovery_result else "FAILED",
discovery_result,
)
# Brief wait for embedding processing
print()
print_info("Waiting 3 seconds for embedding processing...")
await asyncio.sleep(3)
await memory.close()
print()
print_result("Memory Creation", "All memories saved successfully", True)
return spec_dir, project_dir, True
# ============================================================================
# Test 3: Memory Retrieval with Semantic Search
# ============================================================================
async def test_memory_retrieval(spec_dir: Path, project_dir: Path) -> bool:
"""
Test retrieving memories using semantic search with Ollama embeddings.
This validates that saved memories can be found via semantic similarity.
"""
print_header("Test 3: Memory Retrieval with Semantic Search")
try:
from integrations.graphiti.memory import GraphitiMemory
except ImportError as e:
print_result("Import GraphitiMemory", f"Failed: {e}", False)
return False
# Step 1: Initialize memory (reconnect)
print_step(1, "Reconnecting to GraphitiMemory")
memory = GraphitiMemory(spec_dir, project_dir)
init_result = await memory.initialize()
if not init_result:
print_result("Initialize", "Failed to reconnect", False)
return False
print_result("Initialize", "Reconnected successfully", True)
# Step 2: Semantic search for API-related content
print_step(2, "Searching for API-related memories")
api_query = "How do the API endpoints work in this project?"
results = await memory.get_relevant_context(api_query, num_results=5)
print(f" Query: '{api_query}'")
print(f" Found {len(results)} results:")
api_found = False
for i, result in enumerate(results):
content = result.get("content", "")[:100]
result_type = result.get("type", "unknown")
score = result.get("score", 0)
print(f" {i + 1}. [{result_type}] (score: {score:.4f}) {content}...")
if "api" in content.lower() or "routes" in content.lower():
api_found = True
if api_found:
print_result("API search", "Found API-related content", True)
else:
print_info("API content may not be in top results - checking other queries")
# Step 3: Search for middleware-related content
print_step(3, "Searching for middleware patterns")
middleware_query = "middleware and request handling best practices"
results = await memory.get_relevant_context(middleware_query, num_results=5)
print(f" Query: '{middleware_query}'")
print(f" Found {len(results)} results:")
middleware_found = False
for i, result in enumerate(results):
content = result.get("content", "")[:100]
result_type = result.get("type", "unknown")
score = result.get("score", 0)
print(f" {i + 1}. [{result_type}] (score: {score:.4f}) {content}...")
if "middleware" in content.lower() or "routes" in content.lower():
middleware_found = True
print_result(
"Middleware search",
"Found middleware-related content" if middleware_found else "No direct matches",
middleware_found or len(results) > 0,
)
# Step 4: Get session history
print_step(4, "Retrieving session history")
history = await memory.get_session_history(limit=3)
print(f" Found {len(history)} session records:")
for i, session in enumerate(history):
session_num = session.get("session_number", "?")
subtasks = session.get("subtasks_completed", [])
print(f" Session {session_num}: {len(subtasks)} subtasks completed")
for subtask in subtasks[:3]:
print(f" - {subtask}")
print_result(
"Session history", f"Retrieved {len(history)} sessions", len(history) > 0
)
# Step 5: Get status summary
print_step(5, "Memory status summary")
status = memory.get_status_summary()
for key, value in status.items():
print(f" {key}: {value}")
await memory.close()
print()
all_passed = len(results) > 0 and len(history) > 0
print_result(
"Memory Retrieval",
"All retrieval tests passed" if all_passed else "Some tests had issues",
all_passed,
)
return all_passed
# ============================================================================
# Test 4: Full Create → Store → Retrieve Cycle
# ============================================================================
async def test_full_cycle(test_db_path: Path) -> bool:
"""
Test the complete memory lifecycle:
1. Create unique test data
2. Store in graph database with Ollama embeddings
3. Search and retrieve via semantic similarity
4. Verify retrieved data matches what was stored
"""
print_header("Test 4: Full Create-Store-Retrieve Cycle")
# Create fresh test directories
spec_dir = test_db_path / "cycle_test_spec"
project_dir = test_db_path / "cycle_test_project"
spec_dir.mkdir(parents=True, exist_ok=True)
project_dir.mkdir(parents=True, exist_ok=True)
# Override database path for testing
os.environ["GRAPHITI_DB_PATH"] = str(test_db_path / "graphiti_db")
os.environ["GRAPHITI_DATABASE"] = "test_full_cycle"
try:
from integrations.graphiti.memory import GraphitiMemory
except ImportError as e:
print_result("Import", f"Failed: {e}", False)
return False
# Step 1: Create unique test content
print_step(1, "Creating unique test content")
unique_id = datetime.now().strftime("%Y%m%d_%H%M%S")
unique_pattern = (
f"Unique pattern {unique_id}: Use dependency injection for database connections"
)
unique_gotcha = f"Unique gotcha {unique_id}: Always close database connections in finally blocks"
print(f" Unique ID: {unique_id}")
print(f" Pattern: {unique_pattern[:60]}...")
print(f" Gotcha: {unique_gotcha[:60]}...")
# Step 2: Store the content
print_step(2, "Storing content in memory system")
memory = GraphitiMemory(spec_dir, project_dir)
init_result = await memory.initialize()
if not init_result:
print_result("Initialize", "Failed", False)
return False
print_result("Initialize", "SUCCESS", True)
pattern_result = await memory.save_pattern(unique_pattern)
print_result(
"save_pattern", "SUCCESS" if pattern_result else "FAILED", pattern_result
)
gotcha_result = await memory.save_gotcha(unique_gotcha)
print_result("save_gotcha", "SUCCESS" if gotcha_result else "FAILED", gotcha_result)
# Wait for embedding processing
print()
print_info("Waiting 4 seconds for embedding processing and indexing...")
await asyncio.sleep(4)
# Step 3: Search for the unique content
print_step(3, "Searching for unique content")
# Search for the pattern
pattern_query = "dependency injection database connections"
pattern_results = await memory.get_relevant_context(pattern_query, num_results=5)
print(f" Query: '{pattern_query}'")
print(f" Found {len(pattern_results)} results")
pattern_found = False
for result in pattern_results:
content = result.get("content", "")
if unique_id in content:
pattern_found = True
print(f" MATCH: {content[:80]}...")
print_result(
"Pattern retrieval",
f"Found unique pattern (ID: {unique_id})"
if pattern_found
else "Unique pattern not in top results",
pattern_found,
)
# Search for the gotcha
gotcha_query = "database connection cleanup finally block"
gotcha_results = await memory.get_relevant_context(gotcha_query, num_results=5)
print(f" Query: '{gotcha_query}'")
print(f" Found {len(gotcha_results)} results")
gotcha_found = False
for result in gotcha_results:
content = result.get("content", "")
if unique_id in content:
gotcha_found = True
print(f" MATCH: {content[:80]}...")
print_result(
"Gotcha retrieval",
f"Found unique gotcha (ID: {unique_id})"
if gotcha_found
else "Unique gotcha not in top results",
gotcha_found,
)
# Step 4: Verify semantic similarity works
print_step(4, "Verifying semantic similarity")
# Search with semantically similar but different wording
alt_query = "closing connections properly in error handling"
alt_results = await memory.get_relevant_context(alt_query, num_results=3)
print(f" Alternative query: '{alt_query}'")
print(f" Found {len(alt_results)} semantically similar results:")
for i, result in enumerate(alt_results):
content = result.get("content", "")[:80]
score = result.get("score", 0)
print(f" {i + 1}. (score: {score:.4f}) {content}...")
semantic_works = len(alt_results) > 0
print_result(
"Semantic similarity",
"Working - found related content" if semantic_works else "No results",
semantic_works,
)
await memory.close()
# Summary
print()
cycle_passed = (
pattern_result
and gotcha_result
and (pattern_found or gotcha_found or len(alt_results) > 0)
)
print_result(
"Full Cycle Test",
"Create-Store-Retrieve cycle verified"
if cycle_passed
else "Some steps had issues",
cycle_passed,
)
return cycle_passed
# ============================================================================
# Main Entry Point
# ============================================================================
async def main():
"""Run Ollama embedding memory tests."""
parser = argparse.ArgumentParser(
description="Test Ollama Embedding Memory Integration"
)
parser.add_argument(
"--test",
choices=["all", "embeddings", "create", "retrieve", "full-cycle"],
default="all",
help="Which test to run",
)
parser.add_argument(
"--keep-db",
action="store_true",
help="Keep test database after completion (default: cleanup)",
)
args = parser.parse_args()
print("\n" + "=" * 70)
print(" OLLAMA EMBEDDING MEMORY TEST SUITE")
print("=" * 70)
# Configuration check
print_header("Configuration Check")
config_items = {
"GRAPHITI_ENABLED": os.environ.get("GRAPHITI_ENABLED", ""),
"GRAPHITI_LLM_PROVIDER": os.environ.get("GRAPHITI_LLM_PROVIDER", ""),
"GRAPHITI_EMBEDDER_PROVIDER": os.environ.get("GRAPHITI_EMBEDDER_PROVIDER", ""),
"OLLAMA_LLM_MODEL": os.environ.get("OLLAMA_LLM_MODEL", ""),
"OLLAMA_EMBEDDING_MODEL": os.environ.get("OLLAMA_EMBEDDING_MODEL", ""),
"OLLAMA_EMBEDDING_DIM": os.environ.get("OLLAMA_EMBEDDING_DIM", ""),
"OLLAMA_BASE_URL": os.environ.get("OLLAMA_BASE_URL", "http://localhost:11434"),
"OPENAI_API_KEY": "(set)"
if os.environ.get("OPENAI_API_KEY")
else "(not set - needed for reranker)",
}
all_configured = True
required_keys = [
"GRAPHITI_ENABLED",
"GRAPHITI_LLM_PROVIDER",
"GRAPHITI_EMBEDDER_PROVIDER",
"OLLAMA_LLM_MODEL",
"OLLAMA_EMBEDDING_MODEL",
]
for key, value in config_items.items():
is_optional = key in [
"OLLAMA_BASE_URL",
"OPENAI_API_KEY",
"OLLAMA_EMBEDDING_DIM",
]
is_set = bool(value) if not is_optional else True
display_value = value or "(not set)"
if key == "OPENAI_API_KEY":
display_value = value # Already formatted above
is_set = True # Optional for testing
print_result(key, display_value, is_set)
if key in required_keys and not bool(os.environ.get(key)):
all_configured = False
if not all_configured:
print()
print(" Missing required configuration. Please set:")
print(" export GRAPHITI_ENABLED=true")
print(" export GRAPHITI_LLM_PROVIDER=ollama")
print(" export GRAPHITI_EMBEDDER_PROVIDER=ollama")
print(" export OLLAMA_LLM_MODEL=deepseek-r1:7b")
print(" export OLLAMA_EMBEDDING_MODEL=embeddinggemma")
print(" export OLLAMA_EMBEDDING_DIM=768")
print(" export OPENAI_API_KEY=dummy # For graphiti-core reranker")
print()
return
# Check LadybugDB
if not apply_ladybug_monkeypatch():
print()
print_result("LadybugDB", "Not installed - pip install real-ladybug", False)
return
print_result("LadybugDB", "Installed", True)
# Create temp directory for test database
test_db_path = Path(tempfile.mkdtemp(prefix="ollama_memory_test_"))
print()
print_info(f"Test database: {test_db_path}")
# Run tests
test = args.test
results = {}
try:
if test in ["all", "embeddings"]:
results["embeddings"] = await test_ollama_embeddings()
spec_dir = None
project_dir = None
if test in ["all", "create"]:
spec_dir, project_dir, results["create"] = await test_memory_creation(
test_db_path
)
if test in ["all", "retrieve"]:
if spec_dir and project_dir:
results["retrieve"] = await test_memory_retrieval(spec_dir, project_dir)
else:
print_info(
"Skipping retrieve test - no spec/project dir from create test"
)
if test in ["all", "full-cycle"]:
results["full-cycle"] = await test_full_cycle(test_db_path)
finally:
# Cleanup unless --keep-db specified
if not args.keep_db and test_db_path.exists():
print()
print_info(f"Cleaning up test database: {test_db_path}")
shutil.rmtree(test_db_path, ignore_errors=True)
# Summary
print_header("TEST SUMMARY")
all_passed = True
for test_name, passed in results.items():
status = "PASSED" if passed else "FAILED"
print(f" {test_name}: {status}")
if not passed:
all_passed = False
print()
if all_passed:
print(" All tests PASSED!")
print()
print(" The memory system is working correctly with Ollama embeddings.")
print(" Memories can be created and retrieved using semantic search.")
else:
print(" Some tests FAILED. Check the output above for details.")
print()
print(" Common issues:")
print(" - Ollama not running: ollama serve")
print(" - Model not pulled: ollama pull embeddinggemma")
print(" - Wrong dimension: Update OLLAMA_EMBEDDING_DIM to match model")
print()
print(" Commands:")
print(" # Run all tests:")
print(" python integrations/graphiti/test_ollama_embedding_memory.py")
print()
print(" # Run specific test:")
print(
" python integrations/graphiti/test_ollama_embedding_memory.py --test embeddings"
)
print(
" python integrations/graphiti/test_ollama_embedding_memory.py --test full-cycle"
)
print()
print(" # Keep database for inspection:")
print(" python integrations/graphiti/test_ollama_embedding_memory.py --keep-db")
print()
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,68 @@
#!/usr/bin/env python3
"""
Quick test to demonstrate provider-specific database naming.
Shows how Auto Claude automatically generates provider-specific database names
to prevent embedding dimension mismatches.
"""
import os
import sys
from pathlib import Path
# Add auto-claude to path
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
from integrations.graphiti.config import GraphitiConfig
def test_provider_naming():
"""Demonstrate provider-specific database naming."""
print("\n" + "=" * 70)
print(" PROVIDER-SPECIFIC DATABASE NAMING")
print("=" * 70 + "\n")
providers = [
("openai", None, None),
("ollama", "embeddinggemma", 768),
("ollama", "qwen3-embedding:0.6b", 1024),
("voyage", None, None),
("google", None, None),
]
for provider, model, dim in providers:
# Create config
config = GraphitiConfig.from_env()
config.embedder_provider = provider
if provider == "ollama" and model:
config.ollama_embedding_model = model
if dim:
config.ollama_embedding_dim = dim
# Get naming info
dimension = config.get_embedding_dimension()
signature = config.get_provider_signature()
db_name = config.get_provider_specific_database_name("auto_claude_memory")
print(f"Provider: {provider}")
if model:
print(f" Model: {model}")
print(f" Embedding Dimension: {dimension}")
print(f" Provider Signature: {signature}")
print(f" Database Name: {db_name}")
print(f" Full Path: ~/.auto-claude/memories/{db_name}/")
print()
print("=" * 70)
print("\nKey Benefits:")
print(" ✅ No dimension mismatch errors")
print(" ✅ Each provider uses its own database")
print(" ✅ Can switch providers without conflicts")
print(" ✅ Migration utility available for data transfer")
print()
if __name__ == "__main__":
test_provider_naming()
+24 -217
View File
@@ -7,53 +7,35 @@ Reads configuration from task_metadata.json and provides resolved model IDs.
"""
import json
import logging
import os
from pathlib import Path
from typing import Literal, TypedDict
logger = logging.getLogger(__name__)
# Model shorthand to full model ID mapping
# Values must match apps/frontend/src/shared/constants/models.ts MODEL_ID_MAP
MODEL_ID_MAP: dict[str, str] = {
"opus": "claude-opus-4-6",
"opus-1m": "claude-opus-4-6",
"opus-4.5": "claude-opus-4-5-20251101",
"opus": "claude-opus-4-5-20251101",
"sonnet": "claude-sonnet-4-5-20250929",
"haiku": "claude-haiku-4-5-20251001",
}
# Model shorthand to required SDK beta headers
# Maps model shorthands that need special beta flags (e.g., 1M context window)
MODEL_BETAS_MAP: dict[str, list[str]] = {
"opus-1m": ["context-1m-2025-08-07"],
}
# Thinking level to budget tokens mapping
# Values must match apps/frontend/src/shared/constants/models.ts THINKING_BUDGET_MAP
THINKING_BUDGET_MAP: dict[str, int] = {
# Thinking level to budget tokens mapping (None = no extended thinking)
# Values must match auto-claude-ui/src/shared/constants/models.ts THINKING_BUDGET_MAP
THINKING_BUDGET_MAP: dict[str, int | None] = {
"none": None,
"low": 1024,
"medium": 4096, # Moderate analysis
"high": 16384, # Deep thinking for QA review
"ultrathink": 63999, # Maximum reasoning depth (API requires max_tokens >= budget + 1, so 63999 + 1 = 64000 limit)
}
# Effort level mapping for adaptive thinking models (e.g., Opus 4.6)
# These models support CLAUDE_CODE_EFFORT_LEVEL env var for effort-based routing
EFFORT_LEVEL_MAP: dict[str, str] = {"low": "low", "medium": "medium", "high": "high"}
# Models that support adaptive thinking via effort level (env var)
# These models get both max_thinking_tokens AND effort_level
ADAPTIVE_THINKING_MODELS: set[str] = {"claude-opus-4-6"}
# Spec runner phase-specific thinking levels
# Heavy phases use high for deep analysis
# Heavy phases use ultrathink for deep analysis
# Light phases use medium after compaction
SPEC_PHASE_THINKING_LEVELS: dict[str, str] = {
# Heavy phases - high (discovery, spec creation, self-critique)
"discovery": "high",
"spec_writing": "high",
"self_critique": "high",
# Heavy phases - ultrathink (discovery, spec creation, self-critique)
"discovery": "ultrathink",
"spec_writing": "ultrathink",
"self_critique": "ultrathink",
# Light phases - medium (after first invocation with compaction)
"requirements": "medium",
"research": "medium",
@@ -103,7 +85,6 @@ class TaskMetadataConfig(TypedDict, total=False):
phaseThinking: PhaseThinkingConfig
model: str
thinkingLevel: str
fastMode: bool
Phase = Literal["spec", "planning", "coding", "qa"]
@@ -131,9 +112,6 @@ def resolve_model_id(model: str) -> str:
"haiku": "ANTHROPIC_DEFAULT_HAIKU_MODEL",
"sonnet": "ANTHROPIC_DEFAULT_SONNET_MODEL",
"opus": "ANTHROPIC_DEFAULT_OPUS_MODEL",
"opus-1m": "ANTHROPIC_DEFAULT_OPUS_MODEL",
# opus-4.5 intentionally omitted — always resolves to its hardcoded
# model ID (claude-opus-4-5-20251101) regardless of env var overrides.
}
env_var = env_var_map.get(model)
if env_var:
@@ -148,69 +126,23 @@ def resolve_model_id(model: str) -> str:
return model
def get_model_betas(model_short: str) -> list[str]:
"""
Get required SDK beta headers for a model shorthand.
Some model configurations (e.g., opus-1m for 1M context window) require
passing beta headers to the Claude Agent SDK.
Args:
model_short: Model shorthand (e.g., 'opus', 'opus-1m', 'sonnet')
Returns:
List of beta header strings, or empty list if none required
"""
return MODEL_BETAS_MAP.get(model_short, [])
VALID_THINKING_LEVELS = {"low", "medium", "high"}
# Mapping from legacy/removed thinking levels to valid ones
LEGACY_THINKING_LEVEL_MAP: dict[str, str] = {
"ultrathink": "high",
"none": "low",
}
def sanitize_thinking_level(thinking_level: str) -> str:
"""
Validate and sanitize a thinking level string.
Maps legacy values (e.g., 'ultrathink') to valid equivalents and falls
back to 'medium' for completely unknown values. Used by CLI argparse
handlers to make the backend resilient to invalid values from the frontend.
Args:
thinking_level: Raw thinking level string from CLI or task_metadata.json
Returns:
A valid thinking level string (low, medium, high)
"""
if thinking_level in VALID_THINKING_LEVELS:
return thinking_level
mapped = LEGACY_THINKING_LEVEL_MAP.get(thinking_level, "medium")
logger.warning("Invalid thinking level '%s' mapped to '%s'", thinking_level, mapped)
return mapped
def get_thinking_budget(thinking_level: str) -> int:
def get_thinking_budget(thinking_level: str) -> int | None:
"""
Get the thinking budget for a thinking level.
Args:
thinking_level: Thinking level (low, medium, high)
thinking_level: Thinking level (none, low, medium, high, ultrathink)
Returns:
Token budget for extended thinking
Token budget or None for no extended thinking
"""
import logging
if thinking_level not in THINKING_BUDGET_MAP:
valid_levels = ", ".join(THINKING_BUDGET_MAP.keys())
logger.warning(
"Invalid thinking_level '%s'. Valid values: %s. Defaulting to 'medium'.",
thinking_level,
valid_levels,
logging.warning(
f"Invalid thinking_level '{thinking_level}'. Valid values: {valid_levels}. "
f"Defaulting to 'medium'."
)
return THINKING_BUDGET_MAP["medium"]
@@ -282,43 +214,6 @@ def get_phase_model(
return resolve_model_id(DEFAULT_PHASE_MODELS[phase])
def get_phase_model_betas(
spec_dir: Path,
phase: Phase,
cli_model: str | None = None,
) -> list[str]:
"""
Get required SDK beta headers for the model selected for a specific phase.
Uses the same priority logic as get_phase_model() to determine which model
shorthand is selected, then looks up any required beta headers.
Args:
spec_dir: Path to the spec directory
phase: Execution phase (spec, planning, coding, qa)
cli_model: Model from CLI argument (optional)
Returns:
List of beta header strings, or empty list if none required
"""
# Determine the model shorthand (before resolution to full ID)
if cli_model:
return get_model_betas(cli_model)
metadata = load_task_metadata(spec_dir)
if metadata:
if metadata.get("isAutoProfile") and metadata.get("phaseModels"):
phase_models = metadata["phaseModels"]
model_short = phase_models.get(phase, DEFAULT_PHASE_MODELS[phase])
return get_model_betas(model_short)
if metadata.get("model"):
return get_model_betas(metadata["model"])
return get_model_betas(DEFAULT_PHASE_MODELS[phase])
def get_phase_thinking(
spec_dir: Path,
phase: Phase,
@@ -366,7 +261,7 @@ def get_phase_thinking_budget(
spec_dir: Path,
phase: Phase,
cli_thinking: str | None = None,
) -> int:
) -> int | None:
"""
Get the thinking budget tokens for a specific execution phase.
@@ -376,7 +271,7 @@ def get_phase_thinking_budget(
cli_thinking: Thinking level from CLI argument (optional)
Returns:
Token budget for extended thinking
Token budget or None for no extended thinking
"""
thinking_level = get_phase_thinking(spec_dir, phase, cli_thinking)
return get_thinking_budget(thinking_level)
@@ -387,7 +282,7 @@ def get_phase_config(
phase: Phase,
cli_model: str | None = None,
cli_thinking: str | None = None,
) -> tuple[str, str, int]:
) -> tuple[str, str, int | None]:
"""
Get the full configuration for a specific execution phase.
@@ -407,95 +302,7 @@ def get_phase_config(
return model_id, thinking_level, thinking_budget
def is_adaptive_model(model_id: str) -> bool:
"""
Check if a model supports adaptive thinking via effort level.
Adaptive models support the CLAUDE_CODE_EFFORT_LEVEL environment variable
for effort-based routing in addition to max_thinking_tokens.
Args:
model_id: Full model ID (e.g., 'claude-opus-4-6')
Returns:
True if the model supports adaptive thinking
"""
return model_id in ADAPTIVE_THINKING_MODELS
def get_thinking_kwargs_for_model(model_id: str, thinking_level: str) -> dict:
"""
Get thinking-related kwargs for create_client() based on model type.
For adaptive models (Opus 4.6): returns both max_thinking_tokens and effort_level.
For other models (Sonnet, Haiku): returns only max_thinking_tokens.
Args:
model_id: Full model ID (e.g., 'claude-opus-4-6')
thinking_level: Thinking level string (low, medium, high)
Returns:
Dict with 'max_thinking_tokens' and optionally 'effort_level'
"""
kwargs: dict = {"max_thinking_tokens": get_thinking_budget(thinking_level)}
if is_adaptive_model(model_id):
kwargs["effort_level"] = EFFORT_LEVEL_MAP.get(thinking_level, "medium")
return kwargs
def get_phase_client_thinking_kwargs(
spec_dir: Path,
phase: Phase,
phase_model: str,
cli_thinking: str | None = None,
) -> dict:
"""
Get thinking kwargs for create_client() for a specific execution phase.
Combines get_phase_thinking() and get_thinking_kwargs_for_model() to produce
the correct kwargs dict based on phase config and model capabilities.
Args:
spec_dir: Path to the spec directory
phase: Execution phase (spec, planning, coding, qa)
phase_model: Resolved full model ID for this phase
cli_thinking: Thinking level from CLI argument (optional)
Returns:
Dict with 'max_thinking_tokens' and optionally 'effort_level'
"""
thinking_level = get_phase_thinking(spec_dir, phase, cli_thinking)
return get_thinking_kwargs_for_model(phase_model, thinking_level)
def get_fast_mode(spec_dir: Path) -> bool:
"""
Check if Fast Mode is enabled for this task.
Fast Mode provides faster Opus 4.6 output at higher cost.
Reads the fastMode flag from task_metadata.json.
Args:
spec_dir: Path to the spec directory
Returns:
True if Fast Mode is enabled, False otherwise
"""
metadata = load_task_metadata(spec_dir)
if metadata:
enabled = bool(metadata.get("fastMode", False))
if enabled:
logger.info(
"[Fast Mode] ENABLED — read fastMode=true from task_metadata.json"
)
else:
logger.info("[Fast Mode] disabled — fastMode not set in task_metadata.json")
return enabled
logger.info("[Fast Mode] disabled — no task_metadata.json found")
return False
def get_spec_phase_thinking_budget(phase_name: str) -> int:
def get_spec_phase_thinking_budget(phase_name: str) -> int | None:
"""
Get the thinking budget for a specific spec runner phase.
@@ -506,7 +313,7 @@ def get_spec_phase_thinking_budget(phase_name: str) -> int:
phase_name: Name of the spec phase (e.g., 'discovery', 'spec_writing')
Returns:
Token budget for extended thinking
Token budget for extended thinking, or None for no extended thinking
"""
thinking_level = SPEC_PHASE_THINKING_LEVELS.get(phase_name, "medium")
return get_thinking_budget(thinking_level)
+2 -2
View File
@@ -342,7 +342,7 @@ Input: { "libraryName": "[library name from subtask]" }
**Step 2: Get relevant documentation**
```
Tool: mcp__context7__query-docs
Tool: mcp__context7__get-library-docs
Input: {
"context7CompatibleLibraryID": "[library-id]",
"topic": "[specific feature you're implementing]",
@@ -353,7 +353,7 @@ Input: {
**Example workflow:**
If subtask says "Add Stripe payment integration":
1. `resolve-library-id` with "stripe"
2. `query-docs` with topic "payments" or "checkout"
2. `get-library-docs` with topic "payments" or "checkout"
3. Use the exact patterns from documentation
**This prevents:**
@@ -271,7 +271,9 @@ Return one result per finding:
"finding_id": "SEC-001",
"validation_status": "confirmed_valid",
"code_evidence": "const query = `SELECT * FROM users WHERE id = ${userId}`;",
"explanation": "SQL injection vulnerability confirmed. User input 'userId' is directly interpolated into the SQL query at line 45 without any sanitization. The query is executed via db.execute() on line 46."
"line_range": [45, 45],
"explanation": "SQL injection vulnerability confirmed. User input 'userId' is directly interpolated into the SQL query at line 45 without any sanitization. The query is executed via db.execute() on line 46.",
"evidence_verified_in_file": true
}
```
@@ -280,7 +282,9 @@ Return one result per finding:
"finding_id": "QUAL-002",
"validation_status": "dismissed_false_positive",
"code_evidence": "function processInput(data: string): string {\n const sanitized = DOMPurify.sanitize(data);\n return sanitized;\n}",
"explanation": "The original finding claimed XSS vulnerability, but the code uses DOMPurify.sanitize() before output. The input is properly sanitized at line 24 before being returned."
"line_range": [23, 26],
"explanation": "The original finding claimed XSS vulnerability, but the code uses DOMPurify.sanitize() before output. The input is properly sanitized at line 24 before being returned. The code evidence proves the issue does NOT exist.",
"evidence_verified_in_file": true
}
```
@@ -289,7 +293,9 @@ Return one result per finding:
"finding_id": "LOGIC-003",
"validation_status": "needs_human_review",
"code_evidence": "async function handleRequest(req) {\n // Complex async logic...\n}",
"explanation": "The original finding claims a race condition, but verifying this requires understanding the runtime behavior and concurrency model. The static code doesn't provide definitive evidence either way."
"line_range": [100, 150],
"explanation": "The original finding claims a race condition, but verifying this requires understanding the runtime behavior and concurrency model. The static code doesn't provide definitive evidence either way.",
"evidence_verified_in_file": true
}
```
@@ -298,7 +304,9 @@ Return one result per finding:
"finding_id": "HALLUC-004",
"validation_status": "dismissed_false_positive",
"code_evidence": "// Line 710 does not exist - file only has 600 lines",
"explanation": "The original finding claimed an issue at line 710, but the file only has 600 lines. This is a hallucinated finding - the code doesn't exist."
"line_range": [600, 600],
"explanation": "The original finding claimed an issue at line 710, but the file only has 600 lines. This is a hallucinated finding - the code doesn't exist.",
"evidence_verified_in_file": false
}
```
@@ -316,7 +324,7 @@ Validation is binary based on what the code evidence shows:
**Decision rules:**
- If `code_evidence` contains problematic code → `confirmed_valid`
- If `code_evidence` proves issue doesn't exist → `dismissed_false_positive`
- If the code/line doesn't exist`dismissed_false_positive` (hallucinated finding)
- If `evidence_verified_in_file` is false`dismissed_false_positive` (hallucinated finding)
- If you can't determine from the code → `needs_human_review`
## Common False Positive Patterns
@@ -395,7 +403,7 @@ CROSS-FILE CHECK:
5. **When evidence is inconclusive, escalate** - Use `needs_human_review` rather than guessing
6. **Look for mitigations** - Check surrounding code for sanitization/validation
7. **Check the full context** - Read ±20 lines, not just the flagged line
8. **Verify code exists** - Dismiss as false positive if the code/line doesn't exist
8. **Verify code exists** - Set `evidence_verified_in_file` to false if the code/line doesn't exist
9. **SEARCH BEFORE CLAIMING ABSENCE** - If you claim something doesn't exist (no helper, no validation, no error handling), you MUST show the search you performed:
- Use Grep to search for the pattern
- Include the search command in your explanation
@@ -406,5 +414,5 @@ CROSS-FILE CHECK:
- **Trusting the original finding blindly** - Always verify with actual code
- **Dismissing without reading code** - Must provide code_evidence that proves your point
- **Vague explanations** - Be specific about what the code shows and why it proves/disproves the issue
- **Vague evidence** - Always include actual code snippets
- **Missing line numbers** - Always include line_range
- **Speculative conclusions** - Only conclude what the code evidence actually proves
@@ -303,24 +303,35 @@ Provide your synthesis as a structured response matching the ParallelFollowupRes
```json
{
"analysis_summary": "Brief summary of what was analyzed",
"agents_invoked": ["resolution-verifier", "finding-validator", "new-code-reviewer"],
"commits_analyzed": 5,
"files_changed": 12,
"resolution_verifications": [...],
"finding_validations": [
{
"finding_id": "SEC-001",
"validation_status": "confirmed_valid",
"code_evidence": "const query = `SELECT * FROM users WHERE id = ${userId}`;",
"line_range": [45, 45],
"explanation": "SQL injection is present - user input is concatenated directly into query"
},
{
"finding_id": "QUAL-002",
"validation_status": "dismissed_false_positive",
"code_evidence": "const sanitized = DOMPurify.sanitize(data);",
"line_range": [23, 26],
"explanation": "Original finding claimed XSS but code uses DOMPurify for sanitization"
}
],
"new_findings": [...],
"comment_analyses": [...],
"comment_findings": [...],
"agent_agreement": {
"agreed_findings": [],
"conflicting_findings": [],
"resolution_notes": null
},
"verdict": "READY_TO_MERGE",
"verdict_reasoning": "2 findings resolved, 1 dismissed as false positive, 1 confirmed valid but LOW severity..."
}
@@ -109,15 +109,13 @@ ELECTRON VALIDATION:
### Handling Common Issues
**App Not Running:**
If the Electron app is not running or debug port is not accessible:
1. Check the project commands listed in the PROJECT CAPABILITIES section for a debug/MCP startup script
2. Try starting the app with the appropriate command
3. If the app still cannot be started:
- **For specs with UI changes**: This is a CRITICAL blocking issue. Mark as **REJECTED** — visual verification is mandatory for UI changes and cannot be skipped
- **For non-UI changes**: Document as "Electron validation skipped — no UI files changed" and proceed with code-based review
If Electron app is not running or debug port is not accessible:
1. Document that Electron validation was skipped
2. Note reason: "App not running with --remote-debugging-port=9222"
3. Add to QA report as "Manual verification required"
**Headless Environment (CI/CD):**
If running in headless environment without display:
1. For UI changes: Document as critical issue — "Visual verification required but unavailable in headless environment"
2. For non-UI changes: Skip interactive Electron validation and rely on automated tests
1. Skip interactive Electron validation
2. Document: "Electron UI validation skipped - headless environment"
3. Rely on unit/integration tests for validation
@@ -97,14 +97,3 @@ When testing UI elements, prefer these selector strategies:
3. `button:contains("Text")` - By visible text
4. `.class-name` - CSS classes
5. `input[name="..."]` - Form fields by name
### Handling Common Issues
**Dev Server Not Running:**
If the development server is not running or the page cannot be loaded:
1. Check the project commands listed in the PROJECT CAPABILITIES section for the dev server command
2. Start the dev server and wait for it to be ready
3. If the server cannot be started:
- **For specs with UI changes**: This is a CRITICAL blocking issue. Mark as **REJECTED** — visual verification is mandatory for UI changes
- **For non-UI changes**: Document as "Browser validation skipped — no UI files changed" and proceed with code-based review
+32 -85
View File
@@ -126,86 +126,41 @@ E2E TESTS:
---
## PHASE 4: VISUAL / UI VERIFICATION
## PHASE 4: BROWSER VERIFICATION (If Frontend)
### 4.0: Determine Verification Scope (MANDATORY — DO NOT SKIP)
For each page/component in the QA Acceptance Criteria:
Review the file list from your Phase 0 git diff. Classify each changed file:
**UI files** (require visual verification):
- Component files: .tsx, .jsx, .vue, .svelte, .astro
- Style files: .css, .scss, .less, .sass
- Files containing Tailwind classes, CSS-in-JS, or inline style changes
- Files in directories: components/, pages/, views/, layouts/, styles/, renderer/
**Non-UI files** (do not require visual verification):
- Backend logic: .py, .go, .rs, .java (without template rendering)
- Configuration: .json, .yaml, .toml, .env (unless theme/style config)
- Tests: *.test.*, *.spec.*
- Documentation: .md, .txt
**Decision**:
- If ANY changed file is a UI file → visual verification is REQUIRED below
- If the spec describes visual/layout/CSS/styling changes → visual verification is REQUIRED
- If NEITHER applies → document "Phase 4: N/A — no visual changes detected in diff" and proceed to Phase 5
**CRITICAL**: For UI changes, code review alone is NEVER sufficient verification. CSS properties interact with layout context, parent constraints, and specificity in ways that cannot be reliably verified by reading code alone. You MUST see the rendered result.
### 4.1: Start the Application
Check the PROJECT CAPABILITIES section above for available startup commands.
**For Electron apps** (if Electron MCP tools are available):
1. Check if app is already running:
```
Tool: mcp__electron__get_electron_window_info
```
2. If not running, look for a debug/MCP script in the startup commands above and run it:
```bash
cd [frontend-path] && npm run dev:debug
```
Wait 15 seconds, then retry `get_electron_window_info`.
**For web frontends** (if Puppeteer tools are available):
1. Start dev server using the dev_command from the startup commands above
2. Wait for the server to be listening on the expected port
3. Navigate with Puppeteer:
```
Tool: mcp__puppeteer__puppeteer_navigate
Args: {"url": "http://localhost:[port]"}
```
### 4.2: Capture and Verify Screenshots
For EACH visual success criterion in the spec:
1. Navigate to the affected screen/component
2. Set up test conditions (e.g., create long text to test overflow)
3. Take a screenshot:
- Electron: `mcp__electron__take_screenshot`
- Web: `mcp__puppeteer__puppeteer_screenshot`
4. Examine the screenshot and verify the criterion is met
5. Document: "[Criterion]: VERIFIED via screenshot" or "FAILED: [what you observed]"
### 4.3: Check Console for Errors
- Electron: `mcp__electron__read_electron_logs` with `{"logType": "console", "lines": 50}`
- Web: `mcp__puppeteer__puppeteer_evaluate` with `{"script": "window.__consoleErrors || []"}`
### 4.4: Document Findings
### 4.1: Navigate and Screenshot
```
VISUAL VERIFICATION:
- Verification required: YES/NO (reason: [which UI files changed or "no UI files in diff"])
- Application started: YES/NO (method: [Electron MCP / Puppeteer / N/A])
- Screenshots captured: [count]
- Visual criteria verified:
- "[criterion 1]": PASS/FAIL
- "[criterion 2]": PASS/FAIL
- Console errors: [list or "None"]
- Issues found: [list or "None"]
# Use browser automation tools
1. Navigate to URL
2. Take screenshot
3. Check for console errors
4. Verify visual elements
5. Test interactions
```
**If you cannot start the application for visual verification of UI changes**: This is a BLOCKING issue. Do NOT silently skip — document it as a critical issue and REJECT, requesting startup instructions be fixed.
### 4.2: Console Error Check
**CRITICAL**: Check for JavaScript errors in the browser console.
```
# Check browser console for:
- Errors (red)
- Warnings (yellow)
- Failed network requests
```
### 4.3: Document Findings
```
BROWSER VERIFICATION:
- [Page/Component]: PASS/FAIL
- Console errors: [list or "None"]
- Visual check: PASS/FAIL
- Interactions: PASS/FAIL
```
---
@@ -284,7 +239,7 @@ Input: { "libraryName": "[library name]" }
**Step 3: Verify API usage matches documentation**
```
Tool: mcp__context7__query-docs
Tool: mcp__context7__get-library-docs
Input: {
"context7CompatibleLibraryID": "[library-id]",
"topic": "[relevant topic - e.g., the function being used]",
@@ -399,7 +354,7 @@ Create a comprehensive QA report:
| Unit Tests | ✓/✗ | X/Y passing |
| Integration Tests | ✓/✗ | X/Y passing |
| E2E Tests | ✓/✗ | X/Y passing |
| Visual Verification | ✓/✗/N/A | [Screenshot count] or "No UI changes" |
| Browser Verification | ✓/✗ | [summary] |
| Project-Specific Validation | ✓/✗ | [summary based on project type] |
| Database Verification | ✓/✗ | [summary] |
| Third-Party API Validation | ✓/✗ | [Context7 verification summary] |
@@ -407,14 +362,6 @@ Create a comprehensive QA report:
| Pattern Compliance | ✓/✗ | [summary] |
| Regression Check | ✓/✗ | [summary] |
## Visual Verification Evidence
If UI files were changed:
- Screenshots taken: [count and description of each]
- Console log check: [error count or "Clean"]
If skipped: [Explicit justification — must reference git diff showing no UI files changed]
## Issues Found
### Critical (Blocks Sign-off)
@@ -558,7 +505,7 @@ All acceptance criteria verified:
- Unit tests: PASS
- Integration tests: PASS
- E2E tests: PASS
- Visual verification: PASS
- Browser verification: PASS
- Project-specific validation: PASS (or N/A)
- Database verification: PASS
- Security review: PASS
+2 -2
View File
@@ -60,7 +60,7 @@ Tool: mcp__context7__resolve-library-id
Input: { "libraryName": "[library from spec]" }
# Step 2: Verify API patterns mentioned in spec
Tool: mcp__context7__query-docs
Tool: mcp__context7__get-library-docs
Input: {
"context7CompatibleLibraryID": "[library-id]",
"topic": "[specific API or feature mentioned in spec]",
@@ -305,7 +305,7 @@ When analyzing, think through:
>
> Let me also verify with Context7 - I'll look up the actual package name and API patterns to confirm...
> [Use mcp__context7__resolve-library-id to find the library]
> [Use mcp__context7__query-docs to check API patterns]
> [Use mcp__context7__get-library-docs to check API patterns]
>
> Next, looking at the API patterns. The research shows initialization requires [steps], but the spec shows [different steps]. Let me cross-reference with Context7 documentation... Another issue confirmed.
>
+3 -3
View File
@@ -63,7 +63,7 @@ This returns the Context7-compatible ID (e.g., "/vercel/next.js").
Once you have the ID, fetch documentation for specific topics:
```
Tool: mcp__context7__query-docs
Tool: mcp__context7__get-library-docs
Input: {
"context7CompatibleLibraryID": "/vercel/next.js",
"topic": "routing", // Focus on relevant topic
@@ -244,7 +244,7 @@ research.json created successfully.
1. **Context7 MCP** (PRIMARY) - Best for official docs, API patterns, code examples
- Use `resolve-library-id` first to get the library ID
- Then `query-docs` with relevant topics
- Then `get-library-docs` with relevant topics
- Covers most popular libraries (React, Next.js, FastAPI, etc.)
2. **Web Search** - For package verification, recent info, obscure libraries
@@ -271,7 +271,7 @@ Input: { "libraryName": "graphiti" }
If found in Context7:
```
Tool: mcp__context7__query-docs
Tool: mcp__context7__get-library-docs
Input: {
"context7CompatibleLibraryID": "/zep/graphiti",
"topic": "getting started",
+9 -73
View File
@@ -529,82 +529,18 @@ This shows only changes made in the spec branch since it diverged from `{base_br
"""
# Add capability summary as verification requirements table
# Add capability summary for transparency
active_caps = [k for k, v in capabilities.items() if v]
if active_caps:
spec_context += "Based on project analysis, the following verification requirements apply:\n\n"
spec_context += "| Capability | Detected | Verification Requirement |\n"
spec_context += "|-----------|----------|-------------------------|\n"
# NOTE: Keys must match those returned by detect_project_capabilities() in project_context.py.
# If new capabilities are added there, update this dict to avoid silent omission.
cap_requirements = {
"is_electron": (
"Electron Desktop App",
"UI changes REQUIRE Electron MCP visual verification (screenshots)",
),
"is_web_frontend": (
"Web Frontend",
"UI changes REQUIRE browser-based visual verification (screenshots)",
),
"is_tauri": ("Tauri Desktop App", "UI changes REQUIRE visual verification"),
"is_expo": (
"Expo Mobile App",
"UI changes require device/simulator verification",
),
"is_react_native": (
"React Native App",
"UI changes require device/simulator verification",
),
"is_nextjs": ("Next.js App", "Page changes require browser verification"),
"is_nuxt": ("Nuxt App", "Page changes require browser verification"),
"has_api": ("API Endpoints", "Endpoint changes require API testing"),
"has_database": (
"Database",
"Schema changes require migration verification",
),
}
for cap_key in active_caps:
if cap_key in cap_requirements:
name, req = cap_requirements[cap_key]
spec_context += f"| {name} | YES | {req} |\n"
spec_context += "\n"
# Inject startup commands from project_index services
# Handle both dict format (services by name) and list format
services = project_index.get("services", {})
if isinstance(services, dict):
services_iter = services.items()
elif isinstance(services, list):
services_iter = (
(svc.get("name", f"service-{i}"), svc)
for i, svc in enumerate(services)
if isinstance(svc, dict)
spec_context += (
"Based on project analysis, the following capabilities were detected:\n"
)
for cap in active_caps:
cap_name = (
cap.replace("is_", "").replace("has_", "").replace("_", " ").title()
)
else:
services_iter = iter([])
for svc_name, svc in services_iter:
svc_scripts = svc.get("scripts", {})
dev_cmd = svc.get("dev_command", "")
if svc_scripts or dev_cmd:
spec_context += f"**{svc_name} service commands:**\n"
if dev_cmd:
spec_context += f"- Dev server: `{dev_cmd}`\n"
# Surface debug/MCP scripts specifically
debug_scripts = {
k: v
for k, v in svc_scripts.items()
if any(term in k for term in ("debug", "mcp", "test", "e2e"))
}
if debug_scripts:
pkg_mgr = svc.get("package_manager", "npm")
for script_name, script_cmd in debug_scripts.items():
spec_context += f"- {script_name}: `{pkg_mgr} run {script_name}` ({script_cmd})\n"
spec_context += "\n"
spec_context += "Match changed files from the git diff against these capabilities to determine which verification phases are MANDATORY.\n\n"
spec_context += f"- {cap_name}\n"
spec_context += "\nRelevant validation tools have been included below.\n\n"
else:
spec_context += (
"No special project capabilities detected. Using standard validation.\n\n"
+10 -54
View File
@@ -12,10 +12,8 @@ Memory Integration:
from pathlib import Path
# Memory integration for cross-session learning
from agents.base import sanitize_error_message
from agents.memory_manager import get_graphiti_context, save_session_memory
from claude_agent_sdk import ClaudeSDKClient
from core.error_utils import is_rate_limit_error, is_tool_concurrency_error
from debug import debug, debug_detailed, debug_error, debug_section, debug_success
from security.tool_input_validator import get_safe_tool_input
from task_logger import (
@@ -54,7 +52,7 @@ async def run_qa_fixer_session(
fix_session: int,
verbose: bool = False,
project_dir: Path | None = None,
) -> tuple[str, str, dict]:
) -> tuple[str, str]:
"""
Run a QA fixer agent session.
@@ -66,13 +64,9 @@ async def run_qa_fixer_session(
project_dir: Project root directory (for memory context)
Returns:
(status, response_text, error_info) where:
- status: "fixed" if fixes were applied, "error" if an error occurred
- response_text: Agent's response text
- error_info: Dict with error details (empty if no error):
- "type": "tool_concurrency" or "other"
- "message": Error message string
- "exception_type": Exception class name string
(status, response_text) where status is:
- "fixed" if fixes were applied
- "error" if an error occurred
"""
# Derive project_dir from spec_dir if not provided
# spec_dir is typically: /project/.auto-claude/specs/001-name/
@@ -102,12 +96,7 @@ async def run_qa_fixer_session(
fix_request_file = spec_dir / "QA_FIX_REQUEST.md"
if not fix_request_file.exists():
debug_error("qa_fixer", "QA_FIX_REQUEST.md not found")
error_info = {
"type": "other",
"message": "QA_FIX_REQUEST.md not found",
"exception_type": "FileNotFoundError",
}
return "error", "QA_FIX_REQUEST.md not found", error_info
return "error", "QA_FIX_REQUEST.md not found"
# Load fixer prompt
prompt = load_qa_fixer_prompt()
@@ -304,7 +293,7 @@ async def run_qa_fixer_session(
subtasks_completed=[f"qa_fixer_{fix_session}"],
discoveries=fixer_discoveries,
)
return "fixed", response_text, {}
return "fixed", response_text
else:
# Fixer didn't update the status properly, but we'll trust it worked
debug_success("qa_fixer", "Fixes assumed applied (status not updated)")
@@ -318,48 +307,15 @@ async def run_qa_fixer_session(
subtasks_completed=[f"qa_fixer_{fix_session}"],
discoveries=fixer_discoveries,
)
return "fixed", response_text, {}
return "fixed", response_text
except Exception as e:
# Detect specific error types for better retry handling
is_concurrency = is_tool_concurrency_error(e)
is_rate_limited = is_rate_limit_error(e)
if is_concurrency:
error_type = "tool_concurrency"
elif is_rate_limited:
error_type = "rate_limit"
else:
error_type = "other"
debug_error(
"qa_fixer",
f"Fixer session exception: {e}",
exception_type=type(e).__name__,
error_category=error_type,
message_count=message_count,
tool_count=tool_count,
)
# Sanitize error message to remove potentially sensitive data
sanitized_error = sanitize_error_message(str(e))
# Log concurrency errors prominently
if is_concurrency:
print("\n⚠️ Tool concurrency limit reached (400 error)")
print(" Claude API limits concurrent tool use in a single request")
print(f" Error: {sanitized_error[:200]}\n")
else:
print(f"Error during fixer session: {sanitized_error}")
print(f"Error during fixer session: {e}")
if task_logger:
task_logger.log_error(
f"QA fixer error: {sanitized_error}", LogPhase.VALIDATION
)
error_info = {
"type": error_type,
"message": sanitized_error,
"exception_type": type(e).__name__,
}
return "error", sanitized_error, error_info
task_logger.log_error(f"QA fixer error: {e}", LogPhase.VALIDATION)
return "error", str(e)
+12 -60
View File
@@ -21,12 +21,7 @@ from linear_updater import (
linear_qa_rejected,
linear_qa_started,
)
from phase_config import (
get_fast_mode,
get_phase_client_thinking_kwargs,
get_phase_model,
get_phase_model_betas,
)
from phase_config import get_phase_model, get_phase_thinking_budget
from phase_event import ExecutionPhase, emit_phase
from progress import count_subtasks, is_build_complete
from security.constants import PROJECT_DIR_ENV_VAR
@@ -130,12 +125,6 @@ async def run_qa_validation_loop(
{"iteration": 1, "maxIterations": MAX_QA_ITERATIONS},
)
fast_mode = get_fast_mode(spec_dir)
debug(
"qa_loop",
f"[Fast Mode] {'ENABLED' if fast_mode else 'disabled'} for QA validation",
)
# Check if there's pending human feedback that needs to be processed
fix_request_file = spec_dir / "QA_FIX_REQUEST.md"
has_human_feedback = fix_request_file.exists()
@@ -166,23 +155,18 @@ async def run_qa_validation_loop(
# Get model and thinking budget for fixer (uses QA phase config)
qa_model = get_phase_model(spec_dir, "qa", model)
qa_betas = get_phase_model_betas(spec_dir, "qa", model)
fixer_thinking_kwargs = get_phase_client_thinking_kwargs(
spec_dir, "qa", qa_model
)
fixer_thinking_budget = get_phase_thinking_budget(spec_dir, "qa")
fix_client = create_client(
project_dir,
spec_dir,
qa_model,
agent_type="qa_fixer",
betas=qa_betas,
fast_mode=fast_mode,
**fixer_thinking_kwargs,
max_thinking_tokens=fixer_thinking_budget,
)
async with fix_client:
fix_status, fix_response, fix_error_info = await run_qa_fixer_session(
fix_status, fix_response = await run_qa_fixer_session(
fix_client,
spec_dir,
0,
@@ -191,31 +175,7 @@ async def run_qa_validation_loop(
if fix_status == "error":
debug_error("qa_loop", f"Fixer error: {fix_response[:200]}")
task_event_emitter.emit(
"QA_FIXING_FAILED",
{"iteration": 0, "error": fix_response[:200]},
)
print(f"\n❌ Fixer encountered error: {fix_response}")
# Only delete fix request file on permanent errors
# Preserve on transient errors (rate limit, concurrency) so user feedback isn't lost
is_transient = fix_error_info.get("type") in (
"tool_concurrency",
"rate_limit",
)
if is_transient:
debug(
"qa_loop",
"Preserving QA_FIX_REQUEST.md (transient error - user feedback retained)",
)
else:
try:
fix_request_file.unlink()
debug(
"qa_loop",
"Removed QA_FIX_REQUEST.md after permanent fixer error",
)
except OSError:
pass
return False
debug_success("qa_loop", "Human feedback fixes applied")
@@ -278,27 +238,24 @@ async def run_qa_validation_loop(
# Run QA reviewer with phase-specific model and thinking budget
qa_model = get_phase_model(spec_dir, "qa", model)
qa_betas = get_phase_model_betas(spec_dir, "qa", model)
qa_thinking_kwargs = get_phase_client_thinking_kwargs(spec_dir, "qa", qa_model)
qa_thinking_budget = get_phase_thinking_budget(spec_dir, "qa")
debug(
"qa_loop",
"Creating client for QA reviewer session...",
model=qa_model,
thinking_budget=qa_thinking_kwargs.get("max_thinking_tokens"),
thinking_budget=qa_thinking_budget,
)
client = create_client(
project_dir,
spec_dir,
qa_model,
agent_type="qa_reviewer",
betas=qa_betas,
fast_mode=fast_mode,
**qa_thinking_kwargs,
max_thinking_tokens=qa_thinking_budget,
)
async with client:
debug("qa_loop", "Running QA reviewer agent session...")
status, response, _error_info = await run_qa_agent_session(
status, response = await run_qa_agent_session(
client,
project_dir, # Pass project_dir for capability-based tool injection
spec_dir,
@@ -469,15 +426,12 @@ async def run_qa_validation_loop(
break
# Run fixer with phase-specific thinking budget
fixer_betas = get_phase_model_betas(spec_dir, "qa", model)
fixer_thinking_kwargs = get_phase_client_thinking_kwargs(
spec_dir, "qa", qa_model
)
fixer_thinking_budget = get_phase_thinking_budget(spec_dir, "qa")
debug(
"qa_loop",
"Starting QA fixer session...",
model=qa_model,
thinking_budget=fixer_thinking_kwargs.get("max_thinking_tokens"),
thinking_budget=fixer_thinking_budget,
)
emit_phase(ExecutionPhase.QA_FIXING, "Fixing QA issues")
task_event_emitter.emit(
@@ -491,13 +445,11 @@ async def run_qa_validation_loop(
spec_dir,
qa_model,
agent_type="qa_fixer",
betas=fixer_betas,
fast_mode=fast_mode,
**fixer_thinking_kwargs,
max_thinking_tokens=fixer_thinking_budget,
)
async with fix_client:
fix_status, fix_response, _fix_error_info = await run_qa_fixer_session(
fix_status, fix_response = await run_qa_fixer_session(
fix_client, spec_dir, qa_iteration, verbose
)
+11 -54
View File
@@ -13,10 +13,8 @@ Memory Integration:
from pathlib import Path
# Memory integration for cross-session learning
from agents.base import sanitize_error_message
from agents.memory_manager import get_graphiti_context, save_session_memory
from claude_agent_sdk import ClaudeSDKClient
from core.error_utils import is_rate_limit_error, is_tool_concurrency_error
from debug import debug, debug_detailed, debug_error, debug_section, debug_success
from prompts_pkg import get_qa_reviewer_prompt
from security.tool_input_validator import get_safe_tool_input
@@ -41,7 +39,7 @@ async def run_qa_agent_session(
max_iterations: int,
verbose: bool = False,
previous_error: dict | None = None,
) -> tuple[str, str, dict]:
) -> tuple[str, str]:
"""
Run a QA reviewer agent session.
@@ -55,13 +53,10 @@ async def run_qa_agent_session(
previous_error: Error context from previous iteration for self-correction
Returns:
(status, response_text, error_info) where:
- status: "approved" if QA approves, "rejected" if QA finds issues, "error" if an error occurred
- response_text: Agent's response text
- error_info: Dict with error details (empty if no error):
- "type": "tool_concurrency" or "other"
- "message": Error message string
- "exception_type": Exception class name string
(status, response_text) where status is:
- "approved" if QA approves
- "rejected" if QA finds issues
- "error" if an error occurred
"""
debug_section("qa_reviewer", f"QA Reviewer Session {qa_session}")
debug(
@@ -355,7 +350,7 @@ This is attempt {previous_error.get("consecutive_errors", 1) + 1}. If you fail t
subtasks_completed=[f"qa_reviewer_{qa_session}"],
discoveries=qa_discoveries,
)
return "approved", response_text, {}
return "approved", response_text
elif status and status.get("status") == "rejected":
debug_error("qa_reviewer", "QA REJECTED")
# Extract issues found for memory
@@ -374,7 +369,7 @@ This is attempt {previous_error.get("consecutive_errors", 1) + 1}. If you fail t
subtasks_completed=[],
discoveries=qa_discoveries,
)
return "rejected", response_text, {}
return "rejected", response_text
else:
# Agent didn't update the status properly - provide detailed error
debug_error(
@@ -398,53 +393,15 @@ This is attempt {previous_error.get("consecutive_errors", 1) + 1}. If you fail t
if error_details:
error_msg += f" ({'; '.join(error_details)})"
error_info = {
"type": "other",
"message": error_msg,
"exception_type": "ComplianceError",
}
return "error", error_msg, error_info
return "error", error_msg
except Exception as e:
# Detect specific error types for better retry handling
is_concurrency = is_tool_concurrency_error(e)
is_rate_limited = is_rate_limit_error(e)
if is_concurrency:
error_type = "tool_concurrency"
elif is_rate_limited:
error_type = "rate_limit"
else:
error_type = "other"
debug_error(
"qa_reviewer",
f"QA session exception: {e}",
exception_type=type(e).__name__,
error_category=error_type,
message_count=message_count,
tool_count=tool_count,
)
# Sanitize error message to remove potentially sensitive data
sanitized_error = sanitize_error_message(str(e))
# Log concurrency errors prominently
if is_concurrency:
print("\n⚠️ Tool concurrency limit reached (400 error)")
print(" Claude API limits concurrent tool use in a single request")
print(f" Error: {sanitized_error[:200]}\n")
else:
print(f"Error during QA session: {sanitized_error}")
print(f"Error during QA session: {e}")
if task_logger:
task_logger.log_error(
f"QA session error: {sanitized_error}", LogPhase.VALIDATION
)
error_info = {
"type": error_type,
"message": sanitized_error,
"exception_type": type(e).__name__,
}
return "error", sanitized_error, error_info
task_logger.log_error(f"QA session error: {e}", LogPhase.VALIDATION)
return "error", str(e)
-4
View File
@@ -5,9 +5,7 @@ from services.recovery import (
RecoveryAction,
RecoveryManager,
check_and_recover,
clear_stuck_subtasks,
get_recovery_context,
reset_subtask,
)
__all__ = [
@@ -15,7 +13,5 @@ __all__ = [
"FailureType",
"RecoveryAction",
"check_and_recover",
"clear_stuck_subtasks",
"get_recovery_context",
"reset_subtask",
]
+3 -3
View File
@@ -1,7 +1,7 @@
# Auto-Build Framework Dependencies
# SDK 0.1.33+ required for Opus 4.6 adaptive thinking support
# Earlier versions lacked effort parameter and thinking type configuration
claude-agent-sdk>=0.1.33
# SDK 0.1.25+ required for improved tool use concurrency handling
# Earlier versions had 400 errors when tool_use blocks had partial failures
claude-agent-sdk>=0.1.25
python-dotenv>=1.0.0
# TOML parsing fallback for Python < 3.11
-2
View File
@@ -997,7 +997,6 @@ class GitHubRunnerConfig:
# to respect environment variable overrides (e.g., ANTHROPIC_DEFAULT_SONNET_MODEL)
model: str = "sonnet"
thinking_level: str = "medium"
fast_mode: bool = False
def to_dict(self) -> dict:
return {
@@ -1020,7 +1019,6 @@ class GitHubRunnerConfig:
"allow_fix_commits": self.allow_fix_commits,
"model": self.model,
"thinking_level": self.thinking_level,
"fast_mode": self.fast_mode,
}
def save_settings(self, github_dir: Path) -> None:
@@ -163,10 +163,6 @@ AI_PRICING = {
# Claude 4.5 models (current)
"claude-sonnet-4-5-20250929": {"input": 3.00, "output": 15.00},
"claude-opus-4-5-20251101": {"input": 15.00, "output": 75.00},
"claude-opus-4-6": {"input": 15.00, "output": 75.00},
# Note: Opus 4.6 with 1M context (opus-1m) uses the same model ID with a beta
# header, so it shares the same pricing key. Requests >200K tokens incur premium
# rates (2x input, 1.5x output) automatically on the API side.
"claude-haiku-4-5-20251001": {"input": 0.80, "output": 4.00},
# Extended thinking models (higher output costs)
"claude-sonnet-4-5-20250929-thinking": {"input": 3.00, "output": 15.00},
+2 -11
View File
@@ -77,7 +77,6 @@ from core.sentry import capture_exception, init_sentry, set_context
init_sentry(component="github-runner")
from debug import debug_error
from phase_config import sanitize_thinking_level
# Add github runner directory to path for direct imports
sys.path.insert(0, str(Path(__file__).parent))
@@ -183,7 +182,6 @@ def get_config(args) -> GitHubRunnerConfig:
bot_token=bot_token,
model=args.model,
thinking_level=args.thinking_level,
fast_mode=getattr(args, "fast_mode", False),
auto_fix_enabled=getattr(args, "auto_fix_enabled", False),
auto_fix_labels=getattr(args, "auto_fix_labels", ["auto-fix"]),
auto_post_reviews=getattr(args, "auto_post", False),
@@ -690,12 +688,8 @@ def main():
"--thinking-level",
type=str,
default="medium",
help="Thinking level for extended reasoning (low, medium, high)",
)
parser.add_argument(
"--fast-mode",
action="store_true",
help="Enable Fast Mode for faster Opus 4.6 output",
choices=["none", "low", "medium", "high"],
help="Thinking level for extended reasoning",
)
subparsers = parser.add_subparsers(dest="command", help="Command to run")
@@ -802,9 +796,6 @@ def main():
args = parser.parse_args()
# Validate and sanitize thinking level (handles legacy values like 'ultrathink')
args.thinking_level = sanitize_thinking_level(args.thinking_level)
if not args.command:
parser.print_help()
sys.exit(1)
@@ -31,11 +31,7 @@ from claude_agent_sdk import AgentDefinition
try:
from ...core.client import create_client
from ...phase_config import (
get_model_betas,
get_thinking_kwargs_for_model,
resolve_model_id,
)
from ...phase_config import get_thinking_budget, resolve_model_id
from ..context_gatherer import _validate_git_ref
from ..gh_client import GHClient
from ..models import (
@@ -66,11 +62,7 @@ except (ImportError, ValueError, SystemError):
PRReviewResult,
ReviewSeverity,
)
from phase_config import (
get_model_betas,
get_thinking_kwargs_for_model,
resolve_model_id,
)
from phase_config import get_thinking_budget, resolve_model_id
from services.agent_utils import create_working_dir_injector
from services.category_utils import map_category
from services.io_utils import safe_print
@@ -525,13 +517,12 @@ The SDK will run invoked agents in parallel automatically.
# Resolve model shorthand via environment variable override if configured
model_shorthand = self.config.model or "sonnet"
model = resolve_model_id(model_shorthand)
betas = get_model_betas(model_shorthand)
thinking_level = self.config.thinking_level or "medium"
thinking_kwargs = get_thinking_kwargs_for_model(model, thinking_level)
thinking_budget = get_thinking_budget(thinking_level)
logger.info(
f"[ParallelFollowup] Using model={model}, "
f"thinking_level={thinking_level}, thinking_kwargs={thinking_kwargs}"
f"thinking_level={thinking_level}, thinking_budget={thinking_budget}"
)
# Create client with subagents defined (using worktree path)
@@ -540,14 +531,12 @@ The SDK will run invoked agents in parallel automatically.
spec_dir=self.github_dir,
model=model,
agent_type="pr_followup_parallel",
betas=betas,
fast_mode=self.config.fast_mode,
max_thinking_tokens=thinking_budget,
agents=self._define_specialist_agents(project_root),
output_format={
"type": "json_schema",
"schema": ParallelFollowupResponse.model_json_schema(),
},
**thinking_kwargs,
)
self._report_progress(
@@ -33,12 +33,7 @@ from claude_agent_sdk import AgentDefinition # noqa: F401
try:
from ...core.client import create_client
from ...phase_config import (
get_model_betas,
get_thinking_budget,
get_thinking_kwargs_for_model,
resolve_model_id,
)
from ...phase_config import get_thinking_budget, resolve_model_id
from ..context_gatherer import PRContext, _validate_git_ref
from ..gh_client import GHClient
from ..models import (
@@ -74,12 +69,7 @@ except (ImportError, ValueError, SystemError):
PRReviewResult,
ReviewSeverity,
)
from phase_config import (
get_model_betas,
get_thinking_budget,
get_thinking_kwargs_for_model,
resolve_model_id,
)
from phase_config import get_thinking_budget, resolve_model_id
from services.agent_utils import create_working_dir_injector
from services.category_utils import map_category
from services.io_utils import safe_print
@@ -508,23 +498,16 @@ Report findings with specific file paths, line numbers, and code evidence.
# Note: Agent type uses the generic "pr_reviewer" since individual
# specialist types aren't registered in AGENT_CONFIGS. The specialist-specific
# system prompt handles differentiation.
# Get betas from model shorthand (before resolution to full ID)
betas = get_model_betas(self.config.model or "sonnet")
thinking_kwargs = get_thinking_kwargs_for_model(
model, self.config.thinking_level or "medium"
)
client = create_client(
project_dir=project_root,
spec_dir=self.github_dir,
model=model,
agent_type="pr_reviewer",
betas=betas,
fast_mode=self.config.fast_mode,
max_thinking_tokens=thinking_budget,
output_format={
"type": "json_schema",
"schema": SpecialistResponse.model_json_schema(),
},
**thinking_kwargs,
)
async with client:
@@ -810,24 +793,17 @@ The SDK will run invoked agents in parallel automatically.
Returns:
Configured SDK client instance
"""
# Get betas from model shorthand (before resolution to full ID)
betas = get_model_betas(self.config.model or "sonnet")
thinking_kwargs = get_thinking_kwargs_for_model(
model, self.config.thinking_level or "medium"
)
return create_client(
project_dir=project_root,
spec_dir=self.github_dir,
model=model,
agent_type="pr_orchestrator_parallel",
betas=betas,
fast_mode=self.config.fast_mode,
max_thinking_tokens=thinking_budget,
agents=self._define_specialist_agents(project_root),
output_format={
"type": "json_schema",
"schema": ParallelOrchestratorResponse.model_json_schema(),
},
**thinking_kwargs,
)
def _extract_structured_output(
@@ -1742,21 +1718,16 @@ For EACH finding above:
# Create validator client (inherits worktree filesystem access)
try:
# Get betas from model shorthand (before resolution to full ID)
betas = get_model_betas(self.config.model or "sonnet")
thinking_kwargs = get_thinking_kwargs_for_model(model, "medium")
validator_client = create_client(
project_dir=worktree_path,
spec_dir=self.github_dir,
model=model,
agent_type="pr_finding_validator",
betas=betas,
fast_mode=self.config.fast_mode,
max_thinking_tokens=get_thinking_budget("medium"),
output_format={
"type": "json_schema",
"schema": FindingValidationResponse.model_json_schema(),
},
**thinking_kwargs,
)
except Exception as e:
logger.error(f"[PRReview] Failed to create validator client: {e}")
@@ -13,7 +13,7 @@ from pathlib import Path
from typing import Any
try:
from ...phase_config import get_model_betas, resolve_model_id
from ...phase_config import resolve_model_id
from ..context_gatherer import PRContext
from ..models import (
AICommentTriage,
@@ -34,7 +34,7 @@ except (ImportError, ValueError, SystemError):
ReviewPass,
StructuralIssue,
)
from phase_config import get_model_betas, resolve_model_id
from phase_config import resolve_model_id
from services.io_utils import safe_print
from services.prompt_manager import PromptManager
from services.response_parsers import ResponseParser
@@ -222,16 +222,12 @@ class PRReviewEngine:
)
# Resolve model shorthand (e.g., "sonnet") to full model ID for API compatibility
model_shorthand = self.config.model or "sonnet"
model = resolve_model_id(model_shorthand)
betas = get_model_betas(model_shorthand)
model = resolve_model_id(self.config.model or "sonnet")
client = create_client(
project_dir=project_root,
spec_dir=self.github_dir,
model=model,
agent_type="pr_reviewer", # Read-only - no bash, no edits
betas=betas,
fast_mode=self.config.fast_mode,
)
result_text = ""
@@ -491,16 +487,12 @@ class PRReviewEngine:
)
# Resolve model shorthand (e.g., "sonnet") to full model ID for API compatibility
model_shorthand = self.config.model or "sonnet"
model = resolve_model_id(model_shorthand)
betas = get_model_betas(model_shorthand)
model = resolve_model_id(self.config.model or "sonnet")
client = create_client(
project_dir=project_root,
spec_dir=self.github_dir,
model=model,
agent_type="pr_reviewer", # Read-only - no bash, no edits
betas=betas,
fast_mode=self.config.fast_mode,
)
result_text = ""
@@ -555,16 +547,12 @@ class PRReviewEngine:
)
# Resolve model shorthand (e.g., "sonnet") to full model ID for API compatibility
model_shorthand = self.config.model or "sonnet"
model = resolve_model_id(model_shorthand)
betas = get_model_betas(model_shorthand)
model = resolve_model_id(self.config.model or "sonnet")
client = create_client(
project_dir=project_root,
spec_dir=self.github_dir,
model=model,
agent_type="pr_reviewer", # Read-only - no bash, no edits
betas=betas,
fast_mode=self.config.fast_mode,
)
result_text = ""
@@ -34,18 +34,41 @@ from pydantic import BaseModel, Field
class VerificationEvidence(BaseModel):
"""Evidence that a finding was verified against actual code."""
"""Evidence that a finding was verified against actual code.
All fields are required - schema enforcement guarantees evidence exists.
This shifts quality control from programmatic filters to schema enforcement.
"""
code_examined: str = Field(
description="Code snippet that was examined to verify the finding",
min_length=1,
description=(
"REQUIRED: Exact code snippet that was examined. "
"Must be actual code from the file, not a description of code. "
"Copy-paste the relevant lines directly."
),
)
line_range_examined: list[int] = Field(
default_factory=list,
description="Start and end line numbers [start, end] of the examined code",
min_length=2,
max_length=2,
description=(
"Start and end line numbers [start, end] of the examined code. "
"Must match the code in code_examined."
),
)
verification_method: str = Field(
default="direct_code_inspection",
description="How the issue was verified (e.g. direct_code_inspection, cross_file_trace, test_verification)",
verification_method: Literal[
"direct_code_inspection",
"cross_file_trace",
"test_verification",
"dependency_analysis",
] = Field(
description=(
"How the issue was verified: "
"direct_code_inspection = found issue directly in the code shown; "
"cross_file_trace = traced through imports/calls to find the issue; "
"test_verification = verified through examination of test code; "
"dependency_analysis = verified through analyzing dependencies"
)
)
@@ -607,17 +630,22 @@ class ResolutionVerification(BaseModel):
Field(description="Resolution status after AI verification")
)
evidence: str = Field(
description="Code snippet or explanation showing the resolution status",
min_length=1,
description="Actual code snippet showing the resolution status. Required.",
)
resolution_notes: str | None = Field(
None, description="Detailed notes on how the issue was addressed"
)
class ParallelFollowupFinding(BaseModel):
"""A finding from parallel follow-up review."""
"""A finding from parallel follow-up review with source agent tracking."""
id: str = Field(description="Unique identifier for this finding")
file: str = Field(description="File path where issue was found")
line: int = Field(0, description="Line number of the issue")
title: str = Field(description="Brief issue title")
end_line: int | None = Field(None, description="End line for multi-line issues")
title: str = Field(description="Brief issue title (max 80 chars)")
description: str = Field(description="Detailed explanation of the issue")
category: Literal[
"security",
@@ -631,46 +659,99 @@ class ParallelFollowupFinding(BaseModel):
severity: Literal["critical", "high", "medium", "low"] = Field(
description="Issue severity level"
)
evidence: str | None = Field(
None,
description="DEPRECATED: Use verification.code_examined instead. Will be removed in Phase 5.",
)
verification: VerificationEvidence = Field(
description="Evidence that this finding was verified against actual code"
)
suggested_fix: str | None = Field(None, description="How to fix this issue")
fixable: bool = Field(False, description="Whether this can be auto-fixed")
source_agent: str = Field(
description="Which agent reported this finding (resolution/newcode/comment)"
)
related_to_previous: str | None = Field(
None, description="ID of related previous finding if this is a regression"
)
is_impact_finding: bool = Field(
False,
description="True if this finding is about impact on OTHER files outside the PR diff",
description=(
"True if this finding is about impact on OTHER files (callers, dependents) "
"outside the PR's changed files. Used by _is_finding_in_scope() to allow "
"findings about related files that aren't directly in the PR diff."
),
)
class CommentAnalysis(BaseModel):
"""Analysis of a contributor or AI comment."""
comment_id: str = Field(description="Identifier for the comment")
author: str = Field(description="Comment author")
is_ai_bot: bool = Field(description="Whether this is from an AI tool")
requires_response: bool = Field(description="Whether this comment needs a response")
sentiment: Literal["question", "concern", "suggestion", "praise", "neutral"] = (
Field(description="Comment sentiment/type")
)
summary: str = Field(description="Brief summary of the comment")
action_needed: str | None = Field(None, description="What action is needed if any")
class ParallelFollowupResponse(BaseModel):
"""Complete response schema for parallel follow-up PR review.
Simplified schema only fields that are consumed downstream are included.
Removing unused fields reduces schema size and validation failure rate.
"""
"""Complete response schema for parallel follow-up PR review."""
# Analysis metadata
analysis_summary: str = Field(
description="Brief summary of what was analyzed in this follow-up"
)
agents_invoked: list[str] = Field(
default_factory=list,
description="List of agent names that were invoked",
)
commits_analyzed: int = Field(0, description="Number of new commits analyzed")
files_changed: int = Field(
0, description="Number of files changed since last review"
)
# Resolution verification (from resolution-verifier agent)
resolution_verifications: list[ResolutionVerification] = Field(
default_factory=list,
description="Resolution status for each previous finding",
description="AI-verified resolution status for each previous finding",
)
# Finding validations (from finding-validator agent)
finding_validations: list[FindingValidationResult] = Field(
default_factory=list,
description="Re-investigation results for unresolved findings",
description=(
"Re-investigation results for unresolved findings. "
"Validates whether findings are real issues or false positives."
),
)
# New findings (from new-code-reviewer agent)
new_findings: list[ParallelFollowupFinding] = Field(
default_factory=list,
description="New issues found in changes since last review",
)
# Comment analysis (from comment-analyzer agent)
comment_analyses: list[CommentAnalysis] = Field(
default_factory=list,
description="Analysis of contributor and AI comments",
)
comment_findings: list[ParallelFollowupFinding] = Field(
default_factory=list,
description="Issues identified from comment analysis",
)
# Agent agreement tracking
agent_agreement: AgentAgreement = Field(
default_factory=AgentAgreement,
description="Information about agent agreement on findings",
)
# Verdict
verdict: Literal[
"READY_TO_MERGE", "MERGE_WITH_CHANGES", "NEEDS_REVISION", "BLOCKED"
] = Field(description="Overall merge verdict")
@@ -683,17 +764,53 @@ class ParallelFollowupResponse(BaseModel):
class FindingValidationResult(BaseModel):
"""Result of re-investigating an unresolved finding to determine if it's real."""
"""
Result of re-investigating an unresolved finding to validate it's actually real.
The finding-validator agent uses this to report whether a previous finding
is a genuine issue or a false positive that should be dismissed.
EVIDENCE-BASED VALIDATION: No confidence scores - validation is binary.
Either the evidence shows the issue exists, or it doesn't.
"""
finding_id: str = Field(description="ID of the finding being validated")
validation_status: Literal[
"confirmed_valid", "dismissed_false_positive", "needs_human_review"
] = Field(description="Whether the finding is real, a false positive, or unclear")
] = Field(
description=(
"Validation result: "
"confirmed_valid = code evidence proves issue IS real; "
"dismissed_false_positive = code evidence proves issue does NOT exist; "
"needs_human_review = cannot find definitive evidence either way"
)
)
code_evidence: str = Field(
description="Code snippet examined that supports the validation status",
min_length=1,
description=(
"REQUIRED: Exact code snippet examined from the file. "
"Must be actual code copy-pasted from the file, not a description. "
"This is the proof that determines the validation status."
),
)
line_range: list[int] = Field(
min_length=2,
max_length=2,
description="Start and end line numbers of the examined code [start, end]",
)
explanation: str = Field(
description="Why this finding was confirmed, dismissed, or flagged for human review",
min_length=20,
description=(
"Detailed explanation connecting the code_evidence to the validation_status. "
"Must explain: (1) what the original finding claimed, (2) what the actual code shows, "
"(3) why this proves/disproves the issue."
),
)
evidence_verified_in_file: bool = Field(
description=(
"True if the code_evidence was verified to exist at the specified line_range. "
"False if the code couldn't be found (indicates hallucination in original finding)."
)
)
@@ -15,18 +15,18 @@ from dataclasses import dataclass
from pathlib import Path
try:
from ...analysis.test_discovery import TestDiscovery
from ...core.client import create_client
from ..context_gatherer import PRContext
from ..models import PRReviewFinding, ReviewSeverity
from .category_utils import map_category
except (ImportError, ValueError, SystemError):
from analysis.test_discovery import TestDiscovery
from category_utils import map_category
from context_gatherer import PRContext
from core.client import create_client
from models import PRReviewFinding, ReviewSeverity
# TestDiscovery was removed - tests are now co-located in their respective modules
logger = logging.getLogger(__name__)
@@ -75,8 +75,6 @@ async def spawn_security_review(
project_dir: Path,
github_dir: Path,
model: str = "claude-sonnet-4-5-20250929",
betas: list[str] | None = None,
fast_mode: bool = False,
) -> list[PRReviewFinding]:
"""
Spawn a focused security review subagent for specific files.
@@ -131,8 +129,6 @@ async def spawn_security_review(
spec_dir=github_dir,
model=model,
agent_type="pr_reviewer", # Read-only - no bash, no edits
betas=betas or [],
fast_mode=fast_mode,
)
# Run review session
@@ -168,8 +164,6 @@ async def spawn_quality_review(
project_dir: Path,
github_dir: Path,
model: str = "claude-sonnet-4-5-20250929",
betas: list[str] | None = None,
fast_mode: bool = False,
) -> list[PRReviewFinding]:
"""
Spawn a focused code quality review subagent for specific files.
@@ -221,8 +215,6 @@ async def spawn_quality_review(
spec_dir=github_dir,
model=model,
agent_type="pr_reviewer", # Read-only - no bash, no edits
betas=betas or [],
fast_mode=fast_mode,
)
result_text = ""
@@ -254,8 +246,6 @@ async def spawn_deep_analysis(
project_dir: Path,
github_dir: Path,
model: str = "claude-sonnet-4-5-20250929",
betas: list[str] | None = None,
fast_mode: bool = False,
) -> list[PRReviewFinding]:
"""
Spawn a deep analysis subagent to investigate a specific concern.
@@ -320,8 +310,6 @@ Output findings in JSON format:
spec_dir=github_dir,
model=model,
agent_type="pr_reviewer", # Read-only - no bash, no edits
betas=betas or [],
fast_mode=fast_mode,
)
result_text = ""
@@ -367,58 +355,48 @@ async def run_tests(
"""
logger.info("[Orchestrator] Running tests...")
# Determine test command based on project configuration
# Try common test commands in order of preference
test_commands = [
"pytest --cov=.", # Python with coverage
"pytest", # Python
"npm test", # Node.js
"npm run test", # Node.js (script form)
"python -m pytest", # Python alternative
]
try:
# Execute tests with timeout - try common commands
for test_cmd in test_commands:
logger.info(f"[Orchestrator] Attempting: {test_cmd}")
proc = await asyncio.create_subprocess_shell(
test_cmd,
cwd=project_dir,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
# Discover test framework
discovery = TestDiscovery()
test_info = discovery.discover(project_dir)
if not test_info.has_tests:
logger.warning("[Orchestrator] No tests found")
return TestResult(executed=False, passed=False, error="No tests found")
# Get test command
test_cmd = test_info.test_command
if not test_cmd:
return TestResult(
executed=False, passed=False, error="No test command available"
)
try:
stdout, stderr = await asyncio.wait_for(
proc.communicate(),
timeout=300.0, # 5 min max
)
# If command not found (127) or not executable (126), try next command
# For any other exit code (including test failures), the test framework exists
if proc.returncode in (126, 127):
# Command not found or not executable - try next one
continue
# Test ran (may have passed or failed) - return result
passed = proc.returncode == 0
logger.info(f"[Orchestrator] Tests {'passed' if passed else 'failed'}")
return TestResult(
executed=True,
passed=passed,
error=None if passed else stderr.decode("utf-8")[:500],
)
except asyncio.TimeoutError:
# Command timed out - kill it and try next command
proc.kill()
await proc.wait() # Ensure process is fully terminated
continue
except FileNotFoundError:
# Command not found - try next one
continue
# Execute tests with timeout
logger.info(f"[Orchestrator] Executing: {test_cmd}")
proc = await asyncio.create_subprocess_shell(
test_cmd,
cwd=project_dir,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
)
try:
stdout, stderr = await asyncio.wait_for(
proc.communicate(),
timeout=300.0, # 5 min max
)
except asyncio.TimeoutError:
logger.error("[Orchestrator] Tests timed out after 5 minutes")
proc.kill()
return TestResult(executed=True, passed=False, error="Timeout after 5min")
passed = proc.returncode == 0
logger.info(f"[Orchestrator] Tests {'passed' if passed else 'failed'}")
# If no test command worked
logger.warning("[Orchestrator] No test command could be executed")
return TestResult(
executed=False, passed=False, error="No test command available"
executed=True,
passed=passed,
error=None if passed else stderr.decode("utf-8")[:500],
)
except Exception as e:
@@ -40,11 +40,6 @@ def _short_model_name(model: str | None) -> str:
model_lower = model.lower()
# Handle new model naming (claude-{model}-{version}-{date})
# Check 1M context variant first (more specific match)
if "opus-4-6-1m" in model_lower or "opus-4.6-1m" in model_lower:
return "opus-4.6-1m"
if "opus-4-6" in model_lower or "opus-4.6" in model_lower:
return "opus-4.6"
if "opus-4-5" in model_lower or "opus-4.5" in model_lower:
return "opus-4.5"
if "sonnet-4-5" in model_lower or "sonnet-4.5" in model_lower:
@@ -133,52 +128,6 @@ def _get_tool_detail(tool_name: str, tool_input: dict[str, Any]) -> str:
# Prevents runaway retry loops from consuming unbounded resources
MAX_MESSAGE_COUNT = 500
# Abort after 1 consecutive repeat (2 total identical responses).
# Low threshold catches error loops quickly (e.g., auth errors returned as AI text).
# Normal AI responses never produce the exact same text block twice in a row.
REPEATED_RESPONSE_THRESHOLD = 1
# Max length for auth error detection - real auth errors are short (~1-2 sentences).
# Longer texts are likely AI discussion about auth topics, not actual errors.
MAX_AUTH_ERROR_LENGTH = 300
def _is_auth_error_response(text: str) -> bool:
"""
Detect authentication/access error messages returned as AI response text.
Some API errors are returned as conversational text rather than HTTP errors,
causing the SDK to treat them as normal assistant responses. This leads to
infinite retry loops as the conversation ping-pongs between prompts and
error responses.
Real auth error responses are short messages (~1-2 sentences). AI discussion
text that merely mentions auth topics (e.g., PR reviews about auth features)
is much longer. We skip texts over MAX_AUTH_ERROR_LENGTH chars to avoid
false positives.
Args:
text: AI response text to check
Returns:
True if the text is an auth/access error, False otherwise
"""
text_lower = text.lower().strip()
# Real auth error responses are short messages, not long AI discussions.
# Skip texts longer than MAX_AUTH_ERROR_LENGTH to avoid false positives
# when AI discusses authentication topics (e.g., reviewing a PR about auth).
if len(text_lower) > MAX_AUTH_ERROR_LENGTH:
return False
auth_error_patterns = [
"please login again",
# Catches both "does not have access to claude" and partial variants.
# "account does not have access" was intentionally excluded — it's too
# broad and can match short AI responses about access control generally.
# Generic error loops are caught by REPEATED_RESPONSE_THRESHOLD instead.
"not have access to claude",
]
return any(pattern in text_lower for pattern in auth_error_patterns)
def _is_tool_concurrency_error(text: str) -> bool:
"""
@@ -272,9 +221,6 @@ async def process_sdk_stream(
completed_agent_tool_ids: set[str] = set() # tool_ids of completed agents
# Track tool concurrency errors for retry logic
detected_concurrency_error = False
# Track repeated identical responses to detect error loops early
last_response_text: str | None = None
repeated_response_count = 0
# Circuit breaker: max messages before aborting
message_limit = max_messages if max_messages is not None else MAX_MESSAGE_COUNT
@@ -293,10 +239,6 @@ async def process_sdk_stream(
msg_type = type(msg).__name__
msg_count += 1
# Check if a previous iteration set stream_error (e.g., auth error in text block)
if stream_error:
break
# CIRCUIT BREAKER: Abort if message count exceeds threshold
# This prevents runaway retry loops (e.g., 400 errors causing infinite retries)
if msg_count > message_limit:
@@ -481,40 +423,6 @@ async def process_sdk_stream(
block_type = type(block).__name__
if block_type == "TextBlock" and hasattr(block, "text"):
result_text += block.text
# Check for auth/access error returned as AI response text.
# Note: break exits this inner for-loop over msg.content;
# the outer message loop exits via `if stream_error: break`.
if _is_auth_error_response(block.text):
stream_error = (
f"Authentication error detected in AI response: "
f"{block.text[:200].strip()}"
)
logger.error(f"[{context_name}] {stream_error}")
safe_print(f"[{context_name}] ERROR: {stream_error}")
break
# Check for repeated identical responses (error loop detection).
# Skip empty text blocks so they don't reset the counter.
_stripped = block.text.strip()
if _stripped:
if _stripped == last_response_text:
repeated_response_count += 1
if (
repeated_response_count
>= REPEATED_RESPONSE_THRESHOLD
):
stream_error = (
f"Repeated response loop detected: same response "
f"received {repeated_response_count + 1} times in a row. "
f"Response: {_stripped[:200]}"
)
logger.error(f"[{context_name}] {stream_error}")
safe_print(
f"[{context_name}] ERROR: {stream_error}"
)
break
else:
last_response_text = _stripped
repeated_response_count = 0
# Check for tool concurrency error pattern in text output
if _is_tool_concurrency_error(block.text):
detected_concurrency_error = True
@@ -10,13 +10,13 @@ from __future__ import annotations
from pathlib import Path
try:
from ...phase_config import get_model_betas, resolve_model_id
from ...phase_config import resolve_model_id
from ..models import GitHubRunnerConfig, TriageCategory, TriageResult
from .prompt_manager import PromptManager
from .response_parsers import ResponseParser
except (ImportError, ValueError, SystemError):
from models import GitHubRunnerConfig, TriageCategory, TriageResult
from phase_config import get_model_betas, resolve_model_id
from phase_config import resolve_model_id
from services.prompt_manager import PromptManager
from services.response_parsers import ResponseParser
@@ -74,16 +74,12 @@ class TriageEngine:
# Run AI
# Resolve model shorthand (e.g., "sonnet") to full model ID for API compatibility
model_shorthand = self.config.model or "sonnet"
model = resolve_model_id(model_shorthand)
betas = get_model_betas(model_shorthand)
model = resolve_model_id(self.config.model or "sonnet")
client = create_client(
project_dir=self.project_dir,
spec_dir=self.github_dir,
model=model,
agent_type="qa_reviewer",
betas=betas,
fast_mode=self.config.fast_mode,
)
try:
@@ -0,0 +1,707 @@
"""
Tests for Bot Detection Module
================================
Tests the BotDetector class to ensure it correctly prevents infinite loops.
"""
import json
import subprocess
import sys
from datetime import datetime, timedelta
from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
# Use direct file import to avoid package import issues
_github_dir = Path(__file__).parent
if str(_github_dir) not in sys.path:
sys.path.insert(0, str(_github_dir))
from bot_detection import BotDetectionState, BotDetector
@pytest.fixture
def temp_state_dir(tmp_path):
"""Create temporary state directory."""
state_dir = tmp_path / "github"
state_dir.mkdir()
return state_dir
@pytest.fixture
def mock_bot_detector(temp_state_dir):
"""Create bot detector with mocked bot username."""
with patch.object(BotDetector, "_get_bot_username", return_value="test-bot"):
detector = BotDetector(
state_dir=temp_state_dir,
bot_token="fake-token",
review_own_prs=False,
)
return detector
class TestBotDetectionState:
"""Test BotDetectionState data class."""
def test_save_and_load(self, temp_state_dir):
"""Test saving and loading state."""
state = BotDetectionState(
reviewed_commits={
"123": ["abc123", "def456"],
"456": ["ghi789"],
},
last_review_times={
"123": "2025-01-01T10:00:00",
"456": "2025-01-01T11:00:00",
},
)
# Save
state.save(temp_state_dir)
# Load
loaded = BotDetectionState.load(temp_state_dir)
assert loaded.reviewed_commits == state.reviewed_commits
assert loaded.last_review_times == state.last_review_times
def test_load_nonexistent(self, temp_state_dir):
"""Test loading when file doesn't exist."""
loaded = BotDetectionState.load(temp_state_dir)
assert loaded.reviewed_commits == {}
assert loaded.last_review_times == {}
class TestBotDetectorInit:
"""Test BotDetector initialization."""
def test_init_with_token(self, temp_state_dir):
"""Test initialization with bot token."""
with patch("subprocess.run") as mock_run:
mock_run.return_value = MagicMock(
returncode=0,
stdout=json.dumps({"login": "my-bot"}),
)
detector = BotDetector(
state_dir=temp_state_dir,
bot_token="ghp_test123",
review_own_prs=False,
)
assert detector.bot_username == "my-bot"
assert detector.review_own_prs is False
def test_init_without_token(self, temp_state_dir):
"""Test initialization without bot token."""
detector = BotDetector(
state_dir=temp_state_dir,
bot_token=None,
review_own_prs=True,
)
assert detector.bot_username is None
assert detector.review_own_prs is True
class TestBotDetection:
"""Test bot detection methods."""
def test_is_bot_pr(self, mock_bot_detector):
"""Test detecting bot-authored PRs."""
bot_pr = {"author": {"login": "test-bot"}}
human_pr = {"author": {"login": "alice"}}
assert mock_bot_detector.is_bot_pr(bot_pr) is True
assert mock_bot_detector.is_bot_pr(human_pr) is False
def test_is_bot_commit(self, mock_bot_detector):
"""Test detecting bot-authored commits."""
bot_commit = {"author": {"login": "test-bot"}}
human_commit = {"author": {"login": "alice"}}
bot_committer = {
"committer": {"login": "test-bot"},
"author": {"login": "alice"},
}
assert mock_bot_detector.is_bot_commit(bot_commit) is True
assert mock_bot_detector.is_bot_commit(human_commit) is False
assert mock_bot_detector.is_bot_commit(bot_committer) is True
def test_get_last_commit_sha(self, mock_bot_detector):
"""Test extracting last commit SHA."""
# GitHub API returns commits in chronological order (oldest first, newest last)
# So commits[-1] is the LATEST commit
commits = [
{"oid": "abc123"}, # Oldest commit
{"oid": "def456"}, # Latest commit
]
sha = mock_bot_detector.get_last_commit_sha(commits)
assert sha == "def456" # Should return the LAST (latest) commit
# Test with sha field instead of oid
commits_with_sha = [{"sha": "xyz789"}]
sha = mock_bot_detector.get_last_commit_sha(commits_with_sha)
assert sha == "xyz789"
# Empty commits
assert mock_bot_detector.get_last_commit_sha([]) is None
class TestCoolingOff:
"""Test cooling off period.
Note: COOLING_OFF_MINUTES is currently set to 1 minute for testing large PRs.
"""
def test_within_cooling_off(self, mock_bot_detector):
"""Test PR within cooling off period."""
# Set last review to 30 seconds ago (within 1 minute cooling off)
half_min_ago = datetime.now() - timedelta(seconds=30)
mock_bot_detector.state.last_review_times["123"] = half_min_ago.isoformat()
is_cooling, reason = mock_bot_detector.is_within_cooling_off(123)
assert is_cooling is True
assert "Cooling off" in reason
def test_outside_cooling_off(self, mock_bot_detector):
"""Test PR outside cooling off period."""
# Set last review to 2 minutes ago (outside 1 minute cooling off)
two_min_ago = datetime.now() - timedelta(minutes=2)
mock_bot_detector.state.last_review_times["123"] = two_min_ago.isoformat()
is_cooling, reason = mock_bot_detector.is_within_cooling_off(123)
assert is_cooling is False
assert reason == ""
def test_no_previous_review(self, mock_bot_detector):
"""Test PR with no previous review."""
is_cooling, reason = mock_bot_detector.is_within_cooling_off(999)
assert is_cooling is False
assert reason == ""
class TestReviewedCommits:
"""Test reviewed commit tracking."""
def test_has_reviewed_commit(self, mock_bot_detector):
"""Test checking if commit was reviewed."""
mock_bot_detector.state.reviewed_commits["123"] = ["abc123", "def456"]
assert mock_bot_detector.has_reviewed_commit(123, "abc123") is True
assert mock_bot_detector.has_reviewed_commit(123, "xyz789") is False
assert mock_bot_detector.has_reviewed_commit(999, "abc123") is False
def test_mark_reviewed(self, mock_bot_detector, temp_state_dir):
"""Test marking PR as reviewed."""
mock_bot_detector.mark_reviewed(123, "abc123")
# Check state
assert "123" in mock_bot_detector.state.reviewed_commits
assert "abc123" in mock_bot_detector.state.reviewed_commits["123"]
assert "123" in mock_bot_detector.state.last_review_times
# Check persistence
loaded = BotDetectionState.load(temp_state_dir)
assert "123" in loaded.reviewed_commits
assert "abc123" in loaded.reviewed_commits["123"]
def test_mark_reviewed_multiple(self, mock_bot_detector):
"""Test marking same PR reviewed multiple times."""
mock_bot_detector.mark_reviewed(123, "abc123")
mock_bot_detector.mark_reviewed(123, "def456")
commits = mock_bot_detector.state.reviewed_commits["123"]
assert len(commits) == 2
assert "abc123" in commits
assert "def456" in commits
class TestShouldSkipReview:
"""Test main should_skip_pr_review logic."""
def test_skip_bot_pr(self, mock_bot_detector):
"""Test skipping bot-authored PR."""
pr_data = {"author": {"login": "test-bot"}}
commits = [{"author": {"login": "test-bot"}, "oid": "abc123"}]
should_skip, reason = mock_bot_detector.should_skip_pr_review(
pr_number=123,
pr_data=pr_data,
commits=commits,
)
assert should_skip is True
assert "bot user" in reason
def test_skip_bot_commit(self, mock_bot_detector):
"""Test skipping PR with bot commit as the latest commit."""
pr_data = {"author": {"login": "alice"}}
# GitHub API returns commits in chronological order (oldest first, newest last)
# So commits[-1] is the LATEST commit - which is the bot commit
commits = [
{"author": {"login": "alice"}, "oid": "abc123"}, # Oldest commit (by alice)
{
"author": {"login": "test-bot"},
"oid": "def456",
}, # Latest commit (by bot)
]
should_skip, reason = mock_bot_detector.should_skip_pr_review(
pr_number=123,
pr_data=pr_data,
commits=commits,
)
assert should_skip is True
assert "bot" in reason.lower()
def test_skip_cooling_off(self, mock_bot_detector):
"""Test skipping during cooling off period."""
# Set last review to 30 seconds ago (within 1 minute cooling off)
half_min_ago = datetime.now() - timedelta(seconds=30)
mock_bot_detector.state.last_review_times["123"] = half_min_ago.isoformat()
pr_data = {"author": {"login": "alice"}}
commits = [{"author": {"login": "alice"}, "oid": "abc123"}]
should_skip, reason = mock_bot_detector.should_skip_pr_review(
pr_number=123,
pr_data=pr_data,
commits=commits,
)
assert should_skip is True
assert "Cooling off" in reason
def test_skip_already_reviewed(self, mock_bot_detector):
"""Test skipping already-reviewed commit."""
mock_bot_detector.state.reviewed_commits["123"] = ["abc123"]
pr_data = {"author": {"login": "alice"}}
commits = [{"author": {"login": "alice"}, "oid": "abc123"}]
should_skip, reason = mock_bot_detector.should_skip_pr_review(
pr_number=123,
pr_data=pr_data,
commits=commits,
)
assert should_skip is True
assert "Already reviewed" in reason
def test_allow_review(self, mock_bot_detector):
"""Test allowing review when all checks pass."""
pr_data = {"author": {"login": "alice"}}
commits = [{"author": {"login": "alice"}, "oid": "abc123"}]
should_skip, reason = mock_bot_detector.should_skip_pr_review(
pr_number=123,
pr_data=pr_data,
commits=commits,
)
assert should_skip is False
assert reason == ""
def test_allow_review_own_prs(self, temp_state_dir):
"""Test allowing review when review_own_prs is True."""
with patch.object(BotDetector, "_get_bot_username", return_value="test-bot"):
detector = BotDetector(
state_dir=temp_state_dir,
bot_token="fake-token",
review_own_prs=True, # Allow bot to review own PRs
)
pr_data = {"author": {"login": "test-bot"}}
commits = [{"author": {"login": "test-bot"}, "oid": "abc123"}]
should_skip, reason = detector.should_skip_pr_review(
pr_number=123,
pr_data=pr_data,
commits=commits,
)
# Should not skip even though it's bot's own PR
assert should_skip is False
class TestStateManagement:
"""Test state management methods."""
def test_clear_pr_state(self, mock_bot_detector, temp_state_dir):
"""Test clearing PR state."""
# Set up state
mock_bot_detector.mark_reviewed(123, "abc123")
mock_bot_detector.mark_reviewed(456, "def456")
# Clear one PR
mock_bot_detector.clear_pr_state(123)
# Check in-memory state
assert "123" not in mock_bot_detector.state.reviewed_commits
assert "123" not in mock_bot_detector.state.last_review_times
assert "456" in mock_bot_detector.state.reviewed_commits
# Check persistence
loaded = BotDetectionState.load(temp_state_dir)
assert "123" not in loaded.reviewed_commits
assert "456" in loaded.reviewed_commits
def test_get_stats(self, mock_bot_detector):
"""Test getting detector statistics."""
mock_bot_detector.mark_reviewed(123, "abc123")
mock_bot_detector.mark_reviewed(123, "def456")
mock_bot_detector.mark_reviewed(456, "ghi789")
stats = mock_bot_detector.get_stats()
assert stats["bot_username"] == "test-bot"
assert stats["review_own_prs"] is False
assert stats["total_prs_tracked"] == 2
assert stats["total_reviews_performed"] == 3
assert stats["cooling_off_minutes"] == 1 # Currently set to 1 for testing
class TestEdgeCases:
"""Test edge cases and error handling."""
def test_no_commits(self, mock_bot_detector):
"""Test handling PR with no commits."""
pr_data = {"author": {"login": "alice"}}
commits = []
should_skip, reason = mock_bot_detector.should_skip_pr_review(
pr_number=123,
pr_data=pr_data,
commits=commits,
)
# Should not skip (no bot commit to detect)
assert should_skip is False
def test_malformed_commit_data(self, mock_bot_detector):
"""Test handling malformed commit data."""
pr_data = {"author": {"login": "alice"}}
commits = [
{"author": {"login": "alice"}}, # Missing oid/sha
{}, # Empty commit
]
# Should not crash
should_skip, reason = mock_bot_detector.should_skip_pr_review(
pr_number=123,
pr_data=pr_data,
commits=commits,
)
assert should_skip is False
def test_invalid_last_review_time(self, mock_bot_detector):
"""Test handling invalid timestamp in state."""
mock_bot_detector.state.last_review_times["123"] = "invalid-timestamp"
is_cooling, reason = mock_bot_detector.is_within_cooling_off(123)
# Should not crash, should return False
assert is_cooling is False
class TestGhExecutableDetection:
"""Test gh executable detection in bot_detector._get_bot_username."""
def test_get_bot_username_with_gh_not_found(self, temp_state_dir):
"""Test _get_bot_username when gh CLI is not found."""
with patch("bot_detection.get_gh_executable", return_value=None):
detector = BotDetector(
state_dir=temp_state_dir,
bot_token="fake-token",
review_own_prs=False,
)
# Should not crash, username should be None
assert detector.bot_username is None
def test_get_bot_username_with_detected_gh(self, temp_state_dir):
"""Test _get_bot_username when gh CLI is found."""
mock_gh_path = str(temp_state_dir / "gh")
with patch("bot_detection.get_gh_executable", return_value=mock_gh_path):
with patch("subprocess.run") as mock_run:
mock_run.return_value = MagicMock(
returncode=0,
stdout=json.dumps({"login": "test-bot-user"}),
)
detector = BotDetector(
state_dir=temp_state_dir,
bot_token="fake-token",
review_own_prs=False,
)
# Should use the detected gh path
assert detector.bot_username == "test-bot-user"
# Verify subprocess was called with the correct gh path
mock_run.assert_called_once()
called_cmd_list = mock_run.call_args[0][0]
assert called_cmd_list[0] == mock_gh_path
assert called_cmd_list[1:] == ["api", "user"]
def test_get_bot_username_uses_get_gh_executable_return_value(self, temp_state_dir):
"""Test that _get_bot_username uses the path returned by get_gh_executable."""
# Note: GITHUB_CLI_PATH env var is tested by get_gh_executable's own tests
# This test verifies _get_bot_username uses whatever get_gh_executable returns
mock_gh_path = str(temp_state_dir / "gh")
with patch("bot_detection.get_gh_executable", return_value=mock_gh_path):
with patch("subprocess.run") as mock_run:
mock_run.return_value = MagicMock(
returncode=0,
stdout=json.dumps({"login": "env-bot-user"}),
)
detector = BotDetector(
state_dir=temp_state_dir,
bot_token="fake-token",
review_own_prs=False,
)
# Verify the command was run with the path from get_gh_executable
assert detector.bot_username == "env-bot-user"
# Verify subprocess was called with the correct path
mock_run.assert_called_once()
called_cmd_list = mock_run.call_args[0][0]
assert called_cmd_list[0] == mock_gh_path
assert called_cmd_list[1:] == ["api", "user"]
def test_get_bot_username_with_api_error(self, temp_state_dir):
"""Test _get_bot_username when gh api command fails."""
mock_gh_path = str(temp_state_dir / "gh")
with patch("bot_detection.get_gh_executable", return_value=mock_gh_path):
with patch("subprocess.run") as mock_run:
mock_run.return_value = MagicMock(
returncode=1,
stderr="Authentication failed",
)
detector = BotDetector(
state_dir=temp_state_dir,
bot_token="invalid-token",
review_own_prs=False,
)
# Should handle error gracefully, username should be None
assert detector.bot_username is None
def test_get_bot_username_with_subprocess_timeout(self, temp_state_dir):
"""Test _get_bot_username when subprocess times out."""
mock_gh_path = str(temp_state_dir / "gh")
with patch("bot_detection.get_gh_executable", return_value=mock_gh_path):
with patch(
"subprocess.run", side_effect=subprocess.TimeoutExpired("gh", 5)
):
detector = BotDetector(
state_dir=temp_state_dir,
bot_token="fake-token",
review_own_prs=False,
)
# Should handle timeout gracefully, username should be None
assert detector.bot_username is None
def test_get_bot_username_without_token(self, temp_state_dir):
"""Test _get_bot_username when no bot token is provided."""
with patch("subprocess.run") as mock_run:
detector = BotDetector(
state_dir=temp_state_dir,
bot_token=None,
review_own_prs=False,
)
# Should return None without trying to call gh
assert detector.bot_username is None
# Verify subprocess.run was not called (no gh CLI invocation)
mock_run.assert_not_called()
class TestInProgressTracking:
"""Test in-progress review tracking."""
def test_mark_review_started(self, mock_bot_detector, temp_state_dir):
"""Test marking review as started."""
mock_bot_detector.mark_review_started(123)
# Check state
assert "123" in mock_bot_detector.state.in_progress_reviews
start_time_str = mock_bot_detector.state.in_progress_reviews["123"]
start_time = datetime.fromisoformat(start_time_str)
# Should be very recent (within last 5 seconds)
time_diff = datetime.now() - start_time
assert time_diff.total_seconds() < 5
# Check persistence
loaded = BotDetectionState.load(temp_state_dir)
assert "123" in loaded.in_progress_reviews
def test_mark_review_finished_success(self, mock_bot_detector, temp_state_dir):
"""Test marking review as finished successfully."""
mock_bot_detector.mark_review_started(123)
assert "123" in mock_bot_detector.state.in_progress_reviews
mock_bot_detector.mark_review_finished(123, success=True)
# In-progress state should be cleared
assert "123" not in mock_bot_detector.state.in_progress_reviews
# Check persistence
loaded = BotDetectionState.load(temp_state_dir)
assert "123" not in loaded.in_progress_reviews
def test_mark_review_finished_error(self, mock_bot_detector):
"""Test marking review as finished with error."""
mock_bot_detector.mark_review_started(123)
mock_bot_detector.mark_review_finished(123, success=False)
# In-progress state should be cleared
assert "123" not in mock_bot_detector.state.in_progress_reviews
def test_is_review_in_progress_active(self, mock_bot_detector):
"""Test detecting active in-progress review."""
mock_bot_detector.mark_review_started(123)
is_in_progress, reason = mock_bot_detector.is_review_in_progress(123)
assert is_in_progress is True
assert "already in progress" in reason.lower()
def test_is_review_in_progress_not_started(self, mock_bot_detector):
"""Test checking in-progress when review not started."""
is_in_progress, reason = mock_bot_detector.is_review_in_progress(999)
assert is_in_progress is False
assert reason == ""
def test_is_review_in_progress_stale(self, mock_bot_detector):
"""Test detecting stale in-progress review."""
# Set review start time to 31 minutes ago (past timeout)
stale_time = datetime.now() - timedelta(minutes=31)
mock_bot_detector.state.in_progress_reviews["123"] = stale_time.isoformat()
is_in_progress, reason = mock_bot_detector.is_review_in_progress(123)
# Should detect as stale and clear it
assert is_in_progress is False
assert reason == ""
# Should be removed from state
assert "123" not in mock_bot_detector.state.in_progress_reviews
def test_is_review_in_progress_invalid_timestamp(self, mock_bot_detector):
"""Test handling invalid timestamp in in-progress state."""
mock_bot_detector.state.in_progress_reviews["123"] = "invalid-timestamp"
is_in_progress, reason = mock_bot_detector.is_review_in_progress(123)
# Should clear invalid state
assert is_in_progress is False
assert reason == ""
assert "123" not in mock_bot_detector.state.in_progress_reviews
def test_should_skip_review_in_progress(self, mock_bot_detector):
"""Test skipping PR when review is in progress."""
mock_bot_detector.mark_review_started(123)
pr_data = {"author": {"login": "alice"}}
commits = [{"author": {"login": "alice"}, "oid": "abc123"}]
should_skip, reason = mock_bot_detector.should_skip_pr_review(
pr_number=123,
pr_data=pr_data,
commits=commits,
)
assert should_skip is True
assert "already in progress" in reason.lower()
def test_mark_reviewed_clears_in_progress(self, mock_bot_detector):
"""Test that mark_reviewed also clears in-progress state."""
mock_bot_detector.mark_review_started(123)
assert "123" in mock_bot_detector.state.in_progress_reviews
mock_bot_detector.mark_reviewed(123, "abc123")
# In-progress should be cleared
assert "123" not in mock_bot_detector.state.in_progress_reviews
# Reviewed state should be set
assert "123" in mock_bot_detector.state.reviewed_commits
assert "abc123" in mock_bot_detector.state.reviewed_commits["123"]
def test_clear_pr_state_clears_in_progress(self, mock_bot_detector):
"""Test that clear_pr_state also clears in-progress state."""
mock_bot_detector.mark_review_started(123)
mock_bot_detector.mark_reviewed(123, "abc123")
assert (
"123" in mock_bot_detector.state.in_progress_reviews or True
) # May be cleared by mark_reviewed
assert "123" in mock_bot_detector.state.reviewed_commits
# Start another review
mock_bot_detector.mark_review_started(123)
assert "123" in mock_bot_detector.state.in_progress_reviews
mock_bot_detector.clear_pr_state(123)
# Everything should be cleared
assert "123" not in mock_bot_detector.state.in_progress_reviews
assert "123" not in mock_bot_detector.state.reviewed_commits
assert "123" not in mock_bot_detector.state.last_review_times
def test_get_stats_includes_in_progress(self, mock_bot_detector):
"""Test that get_stats includes in-progress count."""
mock_bot_detector.mark_review_started(123)
mock_bot_detector.mark_review_started(456)
mock_bot_detector.mark_reviewed(789, "abc123")
stats = mock_bot_detector.get_stats()
assert stats["in_progress_reviews"] == 2
assert stats["total_prs_tracked"] == 1 # Only 789 is tracked as reviewed
assert stats["in_progress_timeout_minutes"] == 30
def test_cleanup_stale_prs_removes_stale_in_progress(self, mock_bot_detector):
"""Test that cleanup_stale_prs removes stale in-progress reviews."""
# Add a stale in-progress review (32 minutes ago)
stale_time = datetime.now() - timedelta(minutes=32)
mock_bot_detector.state.in_progress_reviews["123"] = stale_time.isoformat()
# Add an active in-progress review (5 minutes ago)
active_time = datetime.now() - timedelta(minutes=5)
mock_bot_detector.state.in_progress_reviews["456"] = active_time.isoformat()
# Add a stale reviewed PR (40 days ago)
stale_review_time = datetime.now() - timedelta(days=40)
mock_bot_detector.state.reviewed_commits["789"] = ["abc123"]
mock_bot_detector.state.last_review_times["789"] = stale_review_time.isoformat()
cleaned = mock_bot_detector.cleanup_stale_prs(max_age_days=30)
# Should remove stale in-progress and stale reviewed PR
assert cleaned == 2 # 1 stale in-progress + 1 stale reviewed
assert "123" not in mock_bot_detector.state.in_progress_reviews
assert (
"456" in mock_bot_detector.state.in_progress_reviews
) # Active one remains
assert "789" not in mock_bot_detector.state.reviewed_commits
if __name__ == "__main__":
pytest.main([__file__, "-v"])
@@ -0,0 +1,213 @@
"""
Unit tests for PR Context Gatherer
===================================
Tests the context gathering functionality without requiring actual GitHub API calls.
"""
from pathlib import Path
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from context_gatherer import ChangedFile, PRContext, PRContextGatherer
@pytest.mark.asyncio
async def test_gather_basic_pr_context(tmp_path):
"""Test gathering basic PR context."""
# Create a temporary project directory
project_dir = tmp_path / "project"
project_dir.mkdir()
# Mock the subprocess calls
pr_metadata = {
"number": 123,
"title": "Add new feature",
"body": "This PR adds a new feature",
"author": {"login": "testuser"},
"baseRefName": "main",
"headRefName": "feature/new-feature",
"files": [
{
"path": "src/app.ts",
"status": "modified",
"additions": 10,
"deletions": 5,
}
],
"additions": 10,
"deletions": 5,
"changedFiles": 1,
"labels": [{"name": "feature"}],
}
with patch("subprocess.run") as mock_run:
# Mock metadata fetch
mock_run.return_value = MagicMock(
returncode=0, stdout='{"number": 123, "title": "Add new feature"}'
)
gatherer = PRContextGatherer(project_dir, 123)
# We can't fully test without real git, but we can verify the structure
assert gatherer.pr_number == 123
assert gatherer.project_dir == project_dir
def test_normalize_status():
"""Test file status normalization."""
gatherer = PRContextGatherer(Path("/tmp"), 1)
assert gatherer._normalize_status("added") == "added"
assert gatherer._normalize_status("ADD") == "added"
assert gatherer._normalize_status("modified") == "modified"
assert gatherer._normalize_status("mod") == "modified"
assert gatherer._normalize_status("deleted") == "deleted"
assert gatherer._normalize_status("renamed") == "renamed"
def test_find_test_files(tmp_path):
"""Test finding related test files."""
# Create a project structure
project_dir = tmp_path / "project"
src_dir = project_dir / "src"
src_dir.mkdir(parents=True)
# Create source file
source_file = src_dir / "utils.ts"
source_file.write_text("export const add = (a, b) => a + b;", encoding="utf-8")
# Create test file
test_file = src_dir / "utils.test.ts"
test_file.write_text("import { add } from './utils';", encoding="utf-8")
gatherer = PRContextGatherer(project_dir, 1)
# Find test files for the source file
source_path = Path("src/utils.ts")
test_files = gatherer._find_test_files(source_path)
assert "src/utils.test.ts" in test_files
def test_resolve_import_path(tmp_path):
"""Test resolving relative import paths."""
# Create a project structure
project_dir = tmp_path / "project"
src_dir = project_dir / "src"
src_dir.mkdir(parents=True)
# Create imported file
utils_file = src_dir / "utils.ts"
utils_file.write_text("export const helper = () => {};", encoding="utf-8")
# Create importing file
app_file = src_dir / "app.ts"
app_file.write_text("import { helper } from './utils';", encoding="utf-8")
gatherer = PRContextGatherer(project_dir, 1)
# Resolve import path
source_path = Path("src/app.ts")
resolved = gatherer._resolve_import_path("./utils", source_path)
assert resolved == "src/utils.ts"
def test_detect_repo_structure_monorepo(tmp_path):
"""Test detecting monorepo structure."""
# Create monorepo structure
project_dir = tmp_path / "project"
project_dir.mkdir()
apps_dir = project_dir / "apps"
apps_dir.mkdir()
(apps_dir / "frontend").mkdir()
(apps_dir / "backend").mkdir()
# Create package.json with workspaces
package_json = project_dir / "package.json"
package_json.write_text('{"workspaces": ["apps/*"]}', encoding="utf-8")
gatherer = PRContextGatherer(project_dir, 1)
structure = gatherer._detect_repo_structure()
assert "Monorepo Apps" in structure
assert "frontend" in structure
assert "backend" in structure
assert "Workspaces" in structure
def test_detect_repo_structure_python(tmp_path):
"""Test detecting Python project structure."""
project_dir = tmp_path / "project"
project_dir.mkdir()
# Create pyproject.toml
pyproject = project_dir / "pyproject.toml"
pyproject.write_text("[tool.poetry]\nname = 'test'", encoding="utf-8")
gatherer = PRContextGatherer(project_dir, 1)
structure = gatherer._detect_repo_structure()
assert "Python Project" in structure
def test_find_config_files(tmp_path):
"""Test finding configuration files."""
project_dir = tmp_path / "project"
src_dir = project_dir / "src"
src_dir.mkdir(parents=True)
# Create config files
(src_dir / "tsconfig.json").write_text("{}", encoding="utf-8")
(src_dir / "package.json").write_text("{}", encoding="utf-8")
gatherer = PRContextGatherer(project_dir, 1)
config_files = gatherer._find_config_files(Path("src"))
assert "src/tsconfig.json" in config_files
assert "src/package.json" in config_files
def test_get_file_extension():
"""Test file extension mapping for syntax highlighting."""
gatherer = PRContextGatherer(Path("/tmp"), 1)
assert gatherer._get_file_extension("app.ts") == "typescript"
assert gatherer._get_file_extension("utils.tsx") == "typescript"
assert gatherer._get_file_extension("script.js") == "javascript"
assert gatherer._get_file_extension("script.jsx") == "javascript"
assert gatherer._get_file_extension("main.py") == "python"
assert gatherer._get_file_extension("config.json") == "json"
assert gatherer._get_file_extension("readme.md") == "markdown"
assert gatherer._get_file_extension("config.yml") == "yaml"
def test_find_imports_typescript(tmp_path):
"""Test finding imports in TypeScript code."""
project_dir = tmp_path / "project"
project_dir.mkdir()
content = """
import { Component } from 'react';
import { helper } from './utils';
import { config } from '../config';
import external from 'lodash';
"""
gatherer = PRContextGatherer(project_dir, 1)
source_path = Path("src/app.tsx")
imports = gatherer._find_imports(content, source_path)
# Should only include relative imports
assert len(imports) >= 0 # Depends on whether files actually exist
if __name__ == "__main__":
pytest.main([__file__, "-v"])
@@ -0,0 +1,582 @@
#!/usr/bin/env python3
"""
Validation tests for the Enhanced PR Review System.
These tests validate:
1. Model serialization/deserialization
2. Verdict generation logic
3. Risk assessment calculation
4. AI comment parsing
5. Structural issue parsing
6. Summary generation
"""
import json
import sys
from dataclasses import asdict
from context_gatherer import AI_BOT_PATTERNS, AIBotComment
# Direct imports (avoid parent __init__.py issues)
from models import (
AICommentTriage,
AICommentVerdict,
MergeVerdict,
PRReviewFinding,
PRReviewResult,
ReviewCategory,
ReviewPass,
ReviewSeverity,
StructuralIssue,
)
def test_merge_verdict_enum():
"""Test MergeVerdict enum values."""
print("Testing MergeVerdict enum...")
assert MergeVerdict.READY_TO_MERGE.value == "ready_to_merge"
assert MergeVerdict.MERGE_WITH_CHANGES.value == "merge_with_changes"
assert MergeVerdict.NEEDS_REVISION.value == "needs_revision"
assert MergeVerdict.BLOCKED.value == "blocked"
# Test string conversion
assert MergeVerdict("ready_to_merge") == MergeVerdict.READY_TO_MERGE
assert MergeVerdict("blocked") == MergeVerdict.BLOCKED
print(" ✅ MergeVerdict enum: PASS")
def test_ai_comment_verdict_enum():
"""Test AICommentVerdict enum values."""
print("Testing AICommentVerdict enum...")
assert AICommentVerdict.CRITICAL.value == "critical"
assert AICommentVerdict.IMPORTANT.value == "important"
assert AICommentVerdict.NICE_TO_HAVE.value == "nice_to_have"
assert AICommentVerdict.TRIVIAL.value == "trivial"
assert AICommentVerdict.FALSE_POSITIVE.value == "false_positive"
print(" ✅ AICommentVerdict enum: PASS")
def test_review_pass_enum():
"""Test ReviewPass enum includes new passes."""
print("Testing ReviewPass enum...")
assert ReviewPass.STRUCTURAL.value == "structural"
assert ReviewPass.AI_COMMENT_TRIAGE.value == "ai_comment_triage"
# Ensure all 6 passes exist
passes = [p.value for p in ReviewPass]
assert len(passes) == 6
assert "quick_scan" in passes
assert "security" in passes
assert "quality" in passes
assert "deep_analysis" in passes
assert "structural" in passes
assert "ai_comment_triage" in passes
print(" ✅ ReviewPass enum: PASS")
def test_ai_bot_patterns():
"""Test AI bot detection patterns."""
print("Testing AI bot patterns...")
# Check known patterns exist
assert "coderabbitai" in AI_BOT_PATTERNS
assert "greptile" in AI_BOT_PATTERNS
assert "copilot" in AI_BOT_PATTERNS
assert "sourcery-ai" in AI_BOT_PATTERNS
# Check pattern -> name mapping
assert AI_BOT_PATTERNS["coderabbitai"] == "CodeRabbit"
assert AI_BOT_PATTERNS["greptile"] == "Greptile"
assert AI_BOT_PATTERNS["copilot"] == "GitHub Copilot"
# Check we have a reasonable number of patterns
assert len(AI_BOT_PATTERNS) >= 15, (
f"Expected at least 15 patterns, got {len(AI_BOT_PATTERNS)}"
)
print(f" ✅ AI bot patterns ({len(AI_BOT_PATTERNS)} patterns): PASS")
def test_ai_bot_comment_dataclass():
"""Test AIBotComment dataclass."""
print("Testing AIBotComment dataclass...")
comment = AIBotComment(
comment_id=12345,
author="coderabbitai[bot]",
tool_name="CodeRabbit",
body="This function has a potential SQL injection vulnerability.",
file="src/db/queries.py",
line=42,
created_at="2024-01-15T10:30:00Z",
)
assert comment.comment_id == 12345
assert comment.tool_name == "CodeRabbit"
assert "SQL injection" in comment.body
assert comment.file == "src/db/queries.py"
assert comment.line == 42
print(" ✅ AIBotComment dataclass: PASS")
def test_ai_comment_triage_dataclass():
"""Test AICommentTriage dataclass."""
print("Testing AICommentTriage dataclass...")
triage = AICommentTriage(
comment_id=12345,
tool_name="CodeRabbit",
original_comment="SQL injection vulnerability detected",
verdict=AICommentVerdict.CRITICAL,
reasoning="Verified - user input is directly concatenated into SQL query",
response_comment="✅ Verified: Critical security issue - must fix before merge",
)
assert triage.verdict == AICommentVerdict.CRITICAL
assert triage.tool_name == "CodeRabbit"
assert "Verified" in triage.reasoning
print(" ✅ AICommentTriage dataclass: PASS")
def test_structural_issue_dataclass():
"""Test StructuralIssue dataclass."""
print("Testing StructuralIssue dataclass...")
issue = StructuralIssue(
id="struct-1",
issue_type="feature_creep",
severity=ReviewSeverity.HIGH,
title="PR includes unrelated authentication refactor",
description="The PR titled 'Fix payment bug' also refactors auth middleware.",
impact="Bundles unrelated changes, harder to review and revert.",
suggestion="Split into two PRs: one for payment fix, one for auth refactor.",
)
assert issue.issue_type == "feature_creep"
assert issue.severity == ReviewSeverity.HIGH
assert "unrelated" in issue.title.lower()
print(" ✅ StructuralIssue dataclass: PASS")
def test_pr_review_result_new_fields():
"""Test PRReviewResult has all new fields."""
print("Testing PRReviewResult new fields...")
result = PRReviewResult(
pr_number=123,
repo="owner/repo",
success=True,
findings=[],
summary="Test summary",
overall_status="approve",
# New fields
verdict=MergeVerdict.READY_TO_MERGE,
verdict_reasoning="No blocking issues found",
blockers=[],
risk_assessment={
"complexity": "low",
"security_impact": "none",
"scope_coherence": "good",
},
structural_issues=[],
ai_comment_triages=[],
quick_scan_summary={"purpose": "Test PR", "complexity": "low"},
)
assert result.verdict == MergeVerdict.READY_TO_MERGE
assert result.verdict_reasoning == "No blocking issues found"
assert result.blockers == []
assert result.risk_assessment["complexity"] == "low"
assert result.structural_issues == []
assert result.ai_comment_triages == []
print(" ✅ PRReviewResult new fields: PASS")
def test_pr_review_result_serialization():
"""Test PRReviewResult serializes and deserializes correctly."""
print("Testing PRReviewResult serialization...")
# Create a complex result
finding = PRReviewFinding(
id="finding-1",
severity=ReviewSeverity.HIGH,
category=ReviewCategory.SECURITY,
title="SQL Injection",
description="User input not sanitized",
file="src/db.py",
line=42,
)
structural = StructuralIssue(
id="struct-1",
issue_type="feature_creep",
severity=ReviewSeverity.MEDIUM,
title="Unrelated changes",
description="Extra refactoring",
impact="Harder to review",
suggestion="Split PR",
)
triage = AICommentTriage(
comment_id=999,
tool_name="CodeRabbit",
original_comment="Missing null check",
verdict=AICommentVerdict.TRIVIAL,
reasoning="Value is guaranteed non-null by upstream validation",
)
result = PRReviewResult(
pr_number=456,
repo="test/repo",
success=True,
findings=[finding],
summary="Test",
overall_status="comment",
verdict=MergeVerdict.MERGE_WITH_CHANGES,
verdict_reasoning="1 high-priority issue",
blockers=["Security: SQL Injection (src/db.py:42)"],
risk_assessment={
"complexity": "medium",
"security_impact": "medium",
"scope_coherence": "mixed",
},
structural_issues=[structural],
ai_comment_triages=[triage],
quick_scan_summary={"purpose": "Test", "complexity": "medium"},
)
# Serialize to dict
data = result.to_dict()
# Check serialized data
assert data["verdict"] == "merge_with_changes"
assert data["blockers"] == ["Security: SQL Injection (src/db.py:42)"]
assert len(data["structural_issues"]) == 1
assert len(data["ai_comment_triages"]) == 1
assert data["structural_issues"][0]["issue_type"] == "feature_creep"
assert data["ai_comment_triages"][0]["verdict"] == "trivial"
# Deserialize back
loaded = PRReviewResult.from_dict(data)
assert loaded.verdict == MergeVerdict.MERGE_WITH_CHANGES
assert loaded.verdict_reasoning == "1 high-priority issue"
assert len(loaded.structural_issues) == 1
assert loaded.structural_issues[0].issue_type == "feature_creep"
assert len(loaded.ai_comment_triages) == 1
assert loaded.ai_comment_triages[0].verdict == AICommentVerdict.TRIVIAL
print(" ✅ PRReviewResult serialization: PASS")
def test_verdict_generation_logic():
"""Test verdict generation produces correct verdicts."""
print("Testing verdict generation logic...")
# Test case 1: No issues -> READY_TO_MERGE
findings = []
structural = []
triages = []
# Simulate verdict logic
critical = [f for f in findings if f.severity == ReviewSeverity.CRITICAL]
high = [f for f in findings if f.severity == ReviewSeverity.HIGH]
security_critical = [f for f in critical if f.category == ReviewCategory.SECURITY]
structural_blockers = [
s
for s in structural
if s.severity in (ReviewSeverity.CRITICAL, ReviewSeverity.HIGH)
]
ai_critical = [t for t in triages if t.verdict == AICommentVerdict.CRITICAL]
blockers = []
for f in security_critical:
blockers.append(f"Security: {f.title}")
for f in critical:
if f not in security_critical:
blockers.append(f"Critical: {f.title}")
for s in structural_blockers:
blockers.append(f"Structure: {s.title}")
for t in ai_critical:
blockers.append(f"{t.tool_name}: {t.original_comment[:50]}")
if blockers:
if security_critical:
verdict = MergeVerdict.BLOCKED
elif len(critical) > 0:
verdict = MergeVerdict.BLOCKED
else:
verdict = MergeVerdict.NEEDS_REVISION
elif high:
verdict = MergeVerdict.MERGE_WITH_CHANGES
else:
verdict = MergeVerdict.READY_TO_MERGE
assert verdict == MergeVerdict.READY_TO_MERGE
assert len(blockers) == 0
print(" ✓ Case 1: No issues -> READY_TO_MERGE")
# Test case 2: Security critical -> BLOCKED
findings = [
PRReviewFinding(
id="sec-1",
severity=ReviewSeverity.CRITICAL,
category=ReviewCategory.SECURITY,
title="SQL Injection",
description="Test",
file="test.py",
line=1,
)
]
critical = [f for f in findings if f.severity == ReviewSeverity.CRITICAL]
security_critical = [f for f in critical if f.category == ReviewCategory.SECURITY]
blockers = []
for f in security_critical:
blockers.append(f"Security: {f.title}")
if blockers and security_critical:
verdict = MergeVerdict.BLOCKED
assert verdict == MergeVerdict.BLOCKED
assert len(blockers) == 1
assert "SQL Injection" in blockers[0]
print(" ✓ Case 2: Security critical -> BLOCKED")
# Test case 3: High severity only -> MERGE_WITH_CHANGES
findings = [
PRReviewFinding(
id="q-1",
severity=ReviewSeverity.HIGH,
category=ReviewCategory.QUALITY,
title="Missing error handling",
description="Test",
file="test.py",
line=1,
)
]
critical = [f for f in findings if f.severity == ReviewSeverity.CRITICAL]
high = [f for f in findings if f.severity == ReviewSeverity.HIGH]
security_critical = [f for f in critical if f.category == ReviewCategory.SECURITY]
blockers = []
if not blockers and high:
verdict = MergeVerdict.MERGE_WITH_CHANGES
assert verdict == MergeVerdict.MERGE_WITH_CHANGES
print(" ✓ Case 3: High severity only -> MERGE_WITH_CHANGES")
print(" ✅ Verdict generation logic: PASS")
def test_risk_assessment_logic():
"""Test risk assessment calculation."""
print("Testing risk assessment logic...")
# Test complexity levels
def calculate_complexity(additions, deletions):
total = additions + deletions
if total > 500:
return "high"
elif total > 200:
return "medium"
else:
return "low"
assert calculate_complexity(50, 20) == "low"
assert calculate_complexity(150, 100) == "medium"
assert calculate_complexity(400, 200) == "high"
print(" ✓ Complexity calculation")
# Test security impact levels
def calculate_security_impact(findings):
security = [f for f in findings if f.category == ReviewCategory.SECURITY]
if any(f.severity == ReviewSeverity.CRITICAL for f in security):
return "critical"
elif any(f.severity == ReviewSeverity.HIGH for f in security):
return "medium"
elif security:
return "low"
else:
return "none"
assert calculate_security_impact([]) == "none"
findings_low = [
PRReviewFinding(
id="s1",
severity=ReviewSeverity.LOW,
category=ReviewCategory.SECURITY,
title="Test",
description="",
file="",
line=1,
)
]
assert calculate_security_impact(findings_low) == "low"
findings_critical = [
PRReviewFinding(
id="s2",
severity=ReviewSeverity.CRITICAL,
category=ReviewCategory.SECURITY,
title="Test",
description="",
file="",
line=1,
)
]
assert calculate_security_impact(findings_critical) == "critical"
print(" ✓ Security impact calculation")
print(" ✅ Risk assessment logic: PASS")
def test_json_parsing_robustness():
"""Test JSON parsing handles edge cases."""
print("Testing JSON parsing robustness...")
import re
def parse_json_array(text):
"""Simulate the JSON parsing from AI response."""
try:
json_match = re.search(r"```json\s*(\[.*?\])\s*```", text, re.DOTALL)
if json_match:
return json.loads(json_match.group(1))
except (json.JSONDecodeError, ValueError):
pass
return []
# Test valid JSON
valid = """
Here is my analysis:
```json
[{"id": "f1", "title": "Test"}]
```
Done.
"""
result = parse_json_array(valid)
assert len(result) == 1
assert result[0]["id"] == "f1"
print(" ✓ Valid JSON parsing")
# Test empty array
empty = """
```json
[]
```
"""
result = parse_json_array(empty)
assert result == []
print(" ✓ Empty array parsing")
# Test no JSON block
no_json = "This response has no JSON block."
result = parse_json_array(no_json)
assert result == []
print(" ✓ No JSON block handling")
# Test malformed JSON
malformed = """
```json
[{"id": "f1", "title": "Missing close bracket"
```
"""
result = parse_json_array(malformed)
assert result == []
print(" ✓ Malformed JSON handling")
print(" ✅ JSON parsing robustness: PASS")
def test_confidence_threshold():
"""Test 80% confidence threshold filtering."""
print("Testing confidence threshold...")
CONFIDENCE_THRESHOLD = 0.80
findings_data = [
{"id": "f1", "confidence": 0.95, "title": "High confidence"},
{"id": "f2", "confidence": 0.80, "title": "At threshold"},
{"id": "f3", "confidence": 0.79, "title": "Below threshold"},
{"id": "f4", "confidence": 0.50, "title": "Low confidence"},
{"id": "f5", "title": "No confidence field"}, # Should default to 0.85
]
filtered = []
for f in findings_data:
confidence = float(f.get("confidence", 0.85))
if confidence >= CONFIDENCE_THRESHOLD:
filtered.append(f)
assert len(filtered) == 3
assert filtered[0]["id"] == "f1" # 0.95 >= 0.80
assert filtered[1]["id"] == "f2" # 0.80 >= 0.80
assert filtered[2]["id"] == "f5" # 0.85 (default) >= 0.80
print(
f" ✓ Filtered {len(findings_data) - len(filtered)}/{len(findings_data)} findings below threshold"
)
print(" ✅ Confidence threshold: PASS")
def run_all_tests():
"""Run all validation tests."""
print("\n" + "=" * 60)
print("Enhanced PR Review System - Validation Tests")
print("=" * 60 + "\n")
tests = [
test_merge_verdict_enum,
test_ai_comment_verdict_enum,
test_review_pass_enum,
test_ai_bot_patterns,
test_ai_bot_comment_dataclass,
test_ai_comment_triage_dataclass,
test_structural_issue_dataclass,
test_pr_review_result_new_fields,
test_pr_review_result_serialization,
test_verdict_generation_logic,
test_risk_assessment_logic,
test_json_parsing_robustness,
test_confidence_threshold,
]
passed = 0
failed = 0
for test in tests:
try:
test()
passed += 1
except Exception as e:
print(f"{test.__name__}: FAILED")
print(f" Error: {e}")
failed += 1
print("\n" + "=" * 60)
print(f"Results: {passed} passed, {failed} failed")
print("=" * 60)
if failed > 0:
sys.exit(1)
else:
print("\n✅ All validation tests passed! System is ready for production.\n")
sys.exit(0)
if __name__ == "__main__":
run_all_tests()
@@ -0,0 +1,333 @@
"""
Test File Locking for Concurrent Operations
===========================================
Demonstrates file locking preventing data corruption in concurrent scenarios.
"""
import asyncio
import json
import tempfile
import time
from pathlib import Path
from file_lock import (
FileLock,
FileLockTimeout,
locked_json_read,
locked_json_update,
locked_json_write,
locked_read,
locked_write,
)
async def test_basic_file_lock():
"""Test basic file locking mechanism."""
print("\n=== Test 1: Basic File Lock ===")
with tempfile.TemporaryDirectory() as tmpdir:
test_file = Path(tmpdir) / "test.txt"
test_file.write_text("initial content", encoding="utf-8")
# Acquire lock and hold it
async with FileLock(test_file, timeout=5.0):
print("✓ Lock acquired successfully")
# Do work while holding lock
await asyncio.sleep(0.1)
print("✓ Lock held during work")
print("✓ Lock released automatically")
async def test_locked_write():
"""Test atomic locked write operations."""
print("\n=== Test 2: Locked Write ===")
with tempfile.TemporaryDirectory() as tmpdir:
test_file = Path(tmpdir) / "data.json"
# Write data with locking
data = {"count": 0, "items": ["a", "b", "c"]}
async with locked_write(test_file, timeout=5.0) as f:
json.dump(data, f, indent=2)
print(f"✓ Written to {test_file.name}")
# Verify data was written correctly
with open(test_file, encoding="utf-8") as f:
loaded = json.load(f)
assert loaded == data
print(f"✓ Data verified: {loaded}")
async def test_locked_json_helpers():
"""Test JSON helper functions."""
print("\n=== Test 3: JSON Helpers ===")
with tempfile.TemporaryDirectory() as tmpdir:
test_file = Path(tmpdir) / "data.json"
# Write JSON
data = {"users": [], "total": 0}
await locked_json_write(test_file, data, timeout=5.0)
print(f"✓ JSON written: {data}")
# Read JSON
loaded = await locked_json_read(test_file, timeout=5.0)
assert loaded == data
print(f"✓ JSON read: {loaded}")
async def test_locked_json_update():
"""Test atomic read-modify-write updates."""
print("\n=== Test 4: Atomic Updates ===")
with tempfile.TemporaryDirectory() as tmpdir:
test_file = Path(tmpdir) / "counter.json"
# Initialize counter
await locked_json_write(test_file, {"count": 0}, timeout=5.0)
print("✓ Counter initialized to 0")
# Define update function
def increment_counter(data):
data["count"] += 1
return data
# Perform 5 atomic updates
for i in range(5):
await locked_json_update(test_file, increment_counter, timeout=5.0)
# Verify final count
final = await locked_json_read(test_file, timeout=5.0)
assert final["count"] == 5
print(f"✓ Counter incremented 5 times: {final}")
async def test_concurrent_updates_without_lock():
"""Demonstrate data corruption WITHOUT file locking."""
print("\n=== Test 5: Concurrent Updates WITHOUT Locking (UNSAFE) ===")
with tempfile.TemporaryDirectory() as tmpdir:
test_file = Path(tmpdir) / "unsafe.json"
# Initialize counter
test_file.write_text(json.dumps({"count": 0}), encoding="utf-8")
async def unsafe_increment():
"""Increment without locking - RACE CONDITION!"""
# Read
with open(test_file, encoding="utf-8") as f:
data = json.load(f)
# Simulate some processing
await asyncio.sleep(0.01)
# Write
data["count"] += 1
with open(test_file, "w", encoding="utf-8") as f:
json.dump(data, f)
# Run 10 concurrent increments
await asyncio.gather(*[unsafe_increment() for _ in range(10)])
# Check final count
with open(test_file, encoding="utf-8") as f:
final = json.load(f)
print("✗ Expected count: 10")
print(f"✗ Actual count: {final['count']} (CORRUPTED due to race condition)")
print(
f"✗ Lost updates: {10 - final['count']} (multiple processes overwrote each other)"
)
async def test_concurrent_updates_with_lock():
"""Demonstrate data integrity WITH file locking."""
print("\n=== Test 6: Concurrent Updates WITH Locking (SAFE) ===")
with tempfile.TemporaryDirectory() as tmpdir:
test_file = Path(tmpdir) / "safe.json"
# Initialize counter
await locked_json_write(test_file, {"count": 0}, timeout=5.0)
async def safe_increment():
"""Increment with locking - NO RACE CONDITION!"""
def increment(data):
# Simulate some processing
time.sleep(0.01)
data["count"] += 1
return data
await locked_json_update(test_file, increment, timeout=5.0)
# Run 10 concurrent increments
await asyncio.gather(*[safe_increment() for _ in range(10)])
# Check final count
final = await locked_json_read(test_file, timeout=5.0)
assert final["count"] == 10
print("✓ Expected count: 10")
print(f"✓ Actual count: {final['count']} (CORRECT with file locking)")
print("✓ No data corruption - all updates applied successfully")
async def test_lock_timeout():
"""Test lock timeout behavior."""
print("\n=== Test 7: Lock Timeout ===")
with tempfile.TemporaryDirectory() as tmpdir:
test_file = Path(tmpdir) / "timeout.json"
test_file.write_text(json.dumps({"data": "test"}), encoding="utf-8")
# Acquire lock and hold it
lock1 = FileLock(test_file, timeout=1.0)
await lock1.__aenter__()
print("✓ First lock acquired")
try:
# Try to acquire second lock with short timeout
lock2 = FileLock(test_file, timeout=0.5)
await lock2.__aenter__()
print("✗ Second lock acquired (should have timed out!)")
except FileLockTimeout as e:
print(f"✓ Second lock timed out as expected: {e}")
finally:
await lock1.__aexit__(None, None, None)
print("✓ First lock released")
async def test_index_update_pattern():
"""Test the index update pattern used in models.py."""
print("\n=== Test 8: Index Update Pattern (Production Pattern) ===")
with tempfile.TemporaryDirectory() as tmpdir:
index_file = Path(tmpdir) / "index.json"
# Simulate multiple PR reviews updating the index concurrently
async def add_review(pr_number: int, status: str):
"""Add or update a PR review in the index."""
def update_index(current_data):
if current_data is None:
current_data = {"reviews": [], "last_updated": None}
reviews = current_data.get("reviews", [])
existing = next(
(r for r in reviews if r["pr_number"] == pr_number), None
)
entry = {
"pr_number": pr_number,
"status": status,
"timestamp": time.time(),
}
if existing:
reviews = [
entry if r["pr_number"] == pr_number else r for r in reviews
]
else:
reviews.append(entry)
current_data["reviews"] = reviews
current_data["last_updated"] = time.time()
return current_data
await locked_json_update(index_file, update_index, timeout=5.0)
# Simulate 5 concurrent review updates
print("Simulating 5 concurrent PR review updates...")
await asyncio.gather(
add_review(101, "approved"),
add_review(102, "changes_requested"),
add_review(103, "commented"),
add_review(104, "approved"),
add_review(105, "approved"),
)
# Verify all reviews were recorded
final_index = await locked_json_read(index_file, timeout=5.0)
assert len(final_index["reviews"]) == 5
print("✓ All 5 reviews recorded correctly")
print(f"✓ Index state: {len(final_index['reviews'])} reviews")
# Update an existing review
await add_review(102, "approved") # Change status
updated_index = await locked_json_read(index_file, timeout=5.0)
assert len(updated_index["reviews"]) == 5 # Still 5, not 6
review_102 = next(r for r in updated_index["reviews"] if r["pr_number"] == 102)
assert review_102["status"] == "approved"
print("✓ Review #102 updated from 'changes_requested' to 'approved'")
print("✓ No duplicate entries created")
async def test_atomic_write_failure():
"""Test that failed writes don't corrupt existing files."""
print("\n=== Test 9: Atomic Write Failure Handling ===")
with tempfile.TemporaryDirectory() as tmpdir:
test_file = Path(tmpdir) / "important.json"
# Write initial data
initial_data = {"important": "data", "version": 1}
await locked_json_write(test_file, initial_data, timeout=5.0)
print(f"✓ Initial data written: {initial_data}")
# Try to write invalid data that will fail
try:
async with locked_write(test_file, timeout=5.0) as f:
f.write("{invalid json")
# Simulate an error during write
raise Exception("Simulated write failure")
except Exception as e:
print(f"✓ Write failed as expected: {e}")
# Verify original data is intact (atomic write rolled back)
current_data = await locked_json_read(test_file, timeout=5.0)
assert current_data == initial_data
print(f"✓ Original data intact after failed write: {current_data}")
print(
"✓ Atomic write prevented corruption (temp file discarded, original preserved)"
)
async def main():
"""Run all tests."""
print("=" * 70)
print("File Locking Tests - Preventing Concurrent Operation Corruption")
print("=" * 70)
tests = [
test_basic_file_lock,
test_locked_write,
test_locked_json_helpers,
test_locked_json_update,
test_concurrent_updates_without_lock,
test_concurrent_updates_with_lock,
test_lock_timeout,
test_index_update_pattern,
test_atomic_write_failure,
]
for test in tests:
try:
await test()
except Exception as e:
print(f"✗ Test failed: {e}")
import traceback
traceback.print_exc()
print("\n" + "=" * 70)
print("All Tests Completed!")
print("=" * 70)
if __name__ == "__main__":
asyncio.run(main())
@@ -0,0 +1,110 @@
"""
Tests for GHClient timeout and retry functionality.
"""
import asyncio
from pathlib import Path
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from gh_client import GHClient, GHCommandError, GHTimeoutError
class TestGHClient:
"""Test suite for GHClient."""
@pytest.fixture
def client(self, tmp_path):
"""Create a test client."""
return GHClient(
project_dir=tmp_path,
default_timeout=2.0,
max_retries=3,
)
@pytest.mark.asyncio
async def test_timeout_raises_error(self, client):
"""Test that commands timeout after max retries."""
# Use a command that will timeout (sleep longer than timeout)
with pytest.raises(GHTimeoutError) as exc_info:
await client.run(["api", "/repos/nonexistent/repo"], timeout=0.1)
assert "timed out after 3 attempts" in str(exc_info.value)
@pytest.mark.asyncio
async def test_invalid_command_raises_error(self, client):
"""Test that invalid commands raise GHCommandError."""
with pytest.raises(GHCommandError):
await client.run(["invalid-command"])
@pytest.mark.asyncio
async def test_successful_command(self, client):
"""Test successful command execution."""
# This test requires gh CLI to be installed
try:
result = await client.run(["--version"])
assert result.returncode == 0
assert "gh version" in result.stdout
assert result.attempts == 1
except Exception:
pytest.skip("gh CLI not available")
@pytest.mark.asyncio
async def test_convenience_methods_timeout_protection(self, client):
"""Test that convenience methods have timeout protection."""
# These will fail because repo doesn't exist, but should not hang
with pytest.raises((GHCommandError, GHTimeoutError)):
await client.pr_list()
with pytest.raises((GHCommandError, GHTimeoutError)):
await client.issue_list()
class TestGHClientGhExecutableDetection:
"""Test suite for GHClient gh executable detection."""
@pytest.fixture
def client(self, tmp_path):
"""Create a test client."""
return GHClient(
project_dir=tmp_path,
default_timeout=2.0,
max_retries=3,
)
@pytest.mark.asyncio
async def test_run_raises_error_when_gh_not_found(self, client):
"""Test that run() raises GHCommandError when gh is not found."""
with patch("gh_client.get_gh_executable", return_value=None):
with pytest.raises(GHCommandError) as exc_info:
await client.run(["--version"])
assert "not found" in str(exc_info.value)
# Test verifies error message mentions GitHub CLI for user guidance
assert "GitHub CLI" in str(exc_info.value)
@pytest.mark.asyncio
async def test_run_uses_detected_gh_executable(self, client):
"""Test that run() uses the detected gh executable path."""
mock_exec = "/custom/path/to/gh"
with patch("gh_client.get_gh_executable", return_value=mock_exec):
with patch("asyncio.create_subprocess_exec") as mock_subprocess:
# Mock the subprocess to return immediately
mock_proc = MagicMock()
mock_proc.communicate = AsyncMock(
return_value=(b"gh version 2.0.0\n", b"")
)
mock_proc.returncode = 0
mock_subprocess.return_value = mock_proc
await client.run(["--version"])
# Verify the correct gh path was used
mock_subprocess.assert_called_once()
called_cmd = mock_subprocess.call_args[0][0]
assert called_cmd == mock_exec
if __name__ == "__main__":
pytest.main([__file__, "-v"])
@@ -0,0 +1,393 @@
"""
Unit Tests for GitHub Permission System
=======================================
Tests for GitHubPermissionChecker and permission verification.
"""
from unittest.mock import AsyncMock, MagicMock
import pytest
from permissions import GitHubPermissionChecker, PermissionCheckResult, PermissionError
class MockGitHubClient:
"""Mock GitHub API client for testing."""
def __init__(self):
self.get = AsyncMock()
self._get_headers = AsyncMock()
@pytest.fixture
def mock_gh_client():
"""Create a mock GitHub client."""
return MockGitHubClient()
@pytest.fixture
def permission_checker(mock_gh_client):
"""Create a permission checker instance."""
return GitHubPermissionChecker(
gh_client=mock_gh_client,
repo="owner/test-repo",
allowed_roles=["OWNER", "MEMBER", "COLLABORATOR"],
allow_external_contributors=False,
)
@pytest.mark.asyncio
async def test_verify_token_scopes_success(permission_checker, mock_gh_client):
"""Test successful token scope verification."""
mock_gh_client._get_headers.return_value = {
"X-OAuth-Scopes": "repo, read:org, admin:repo_hook"
}
# Should not raise
await permission_checker.verify_token_scopes()
@pytest.mark.asyncio
async def test_verify_token_scopes_minimum(permission_checker, mock_gh_client):
"""Test token with minimum scopes (repo only) triggers warning."""
mock_gh_client._get_headers.return_value = {"X-OAuth-Scopes": "repo"}
# Should warn but not raise (for non-org repos)
await permission_checker.verify_token_scopes()
@pytest.mark.asyncio
async def test_verify_token_scopes_insufficient(permission_checker, mock_gh_client):
"""Test insufficient token scopes raises error."""
mock_gh_client._get_headers.return_value = {"X-OAuth-Scopes": "read:user"}
with pytest.raises(PermissionError, match="missing required scopes"):
await permission_checker.verify_token_scopes()
@pytest.mark.asyncio
async def test_check_label_adder_success(permission_checker, mock_gh_client):
"""Test successfully finding who added a label."""
mock_gh_client.get.side_effect = [
# Issue events
[
{
"event": "labeled",
"label": {"name": "auto-fix"},
"actor": {"login": "alice"},
},
{
"event": "commented",
"actor": {"login": "bob"},
},
],
# Collaborator permission check for alice
{"permission": "write"},
]
username, role = await permission_checker.check_label_adder(123, "auto-fix")
assert username == "alice"
assert role == "COLLABORATOR"
mock_gh_client.get.assert_any_call("/repos/owner/test-repo/issues/123/events")
@pytest.mark.asyncio
async def test_check_label_adder_not_found(permission_checker, mock_gh_client):
"""Test error when label not found in events."""
mock_gh_client.get.return_value = [
{
"event": "labeled",
"label": {"name": "bug"},
"actor": {"login": "alice"},
},
]
with pytest.raises(PermissionError, match="Label 'auto-fix' not found"):
await permission_checker.check_label_adder(123, "auto-fix")
@pytest.mark.asyncio
async def test_get_user_role_owner(permission_checker, mock_gh_client):
"""Test getting role for repository owner."""
role = await permission_checker.get_user_role("owner")
assert role == "OWNER"
# Should use cache, no API calls needed
assert mock_gh_client.get.call_count == 0
@pytest.mark.asyncio
async def test_get_user_role_collaborator(permission_checker, mock_gh_client):
"""Test getting role for collaborator with write access."""
mock_gh_client.get.return_value = {"permission": "write"}
role = await permission_checker.get_user_role("alice")
assert role == "COLLABORATOR"
mock_gh_client.get.assert_called_with(
"/repos/owner/test-repo/collaborators/alice/permission"
)
@pytest.mark.asyncio
async def test_get_user_role_org_member(permission_checker, mock_gh_client):
"""Test getting role for organization member."""
mock_gh_client.get.side_effect = [
# Not a collaborator
Exception("Not a collaborator"),
# Repo info (org-owned)
{"owner": {"type": "Organization"}},
# Org membership check
{"state": "active"},
]
role = await permission_checker.get_user_role("bob")
assert role == "MEMBER"
@pytest.mark.asyncio
async def test_get_user_role_contributor(permission_checker, mock_gh_client):
"""Test getting role for external contributor."""
mock_gh_client.get.side_effect = [
# Not a collaborator
Exception("Not a collaborator"),
# Repo info (user-owned, not org)
{"owner": {"type": "User"}},
# Contributors list
[
{"login": "alice"},
{"login": "charlie"}, # The user we're checking
],
]
role = await permission_checker.get_user_role("charlie")
assert role == "CONTRIBUTOR"
@pytest.mark.asyncio
async def test_get_user_role_none(permission_checker, mock_gh_client):
"""Test getting role for user with no relationship to repo."""
mock_gh_client.get.side_effect = [
# Not a collaborator
Exception("Not a collaborator"),
# Repo info
{"owner": {"type": "User"}},
# Contributors list (user not in it)
[{"login": "alice"}],
]
role = await permission_checker.get_user_role("stranger")
assert role == "NONE"
@pytest.mark.asyncio
async def test_get_user_role_caching(permission_checker, mock_gh_client):
"""Test that user roles are cached."""
mock_gh_client.get.return_value = {"permission": "write"}
# First call
role1 = await permission_checker.get_user_role("alice")
assert role1 == "COLLABORATOR"
# Second call should use cache
role2 = await permission_checker.get_user_role("alice")
assert role2 == "COLLABORATOR"
# Only one API call should have been made
assert mock_gh_client.get.call_count == 1
@pytest.mark.asyncio
async def test_is_allowed_for_autofix_owner(permission_checker, mock_gh_client):
"""Test auto-fix permission for owner."""
result = await permission_checker.is_allowed_for_autofix("owner")
assert result.allowed is True
assert result.username == "owner"
assert result.role == "OWNER"
assert result.reason is None
@pytest.mark.asyncio
async def test_is_allowed_for_autofix_collaborator(permission_checker, mock_gh_client):
"""Test auto-fix permission for collaborator."""
mock_gh_client.get.return_value = {"permission": "write"}
result = await permission_checker.is_allowed_for_autofix("alice")
assert result.allowed is True
assert result.username == "alice"
assert result.role == "COLLABORATOR"
@pytest.mark.asyncio
async def test_is_allowed_for_autofix_denied(permission_checker, mock_gh_client):
"""Test auto-fix permission denied for unauthorized user."""
mock_gh_client.get.side_effect = [
Exception("Not a collaborator"),
{"owner": {"type": "User"}},
[], # Not in contributors
]
result = await permission_checker.is_allowed_for_autofix("stranger")
assert result.allowed is False
assert result.username == "stranger"
assert result.role == "NONE"
assert "not in allowed roles" in result.reason
@pytest.mark.asyncio
async def test_is_allowed_for_autofix_contributor_allowed(mock_gh_client):
"""Test auto-fix permission for contributor when external contributors allowed."""
checker = GitHubPermissionChecker(
gh_client=mock_gh_client,
repo="owner/test-repo",
allow_external_contributors=True,
)
mock_gh_client.get.side_effect = [
Exception("Not a collaborator"),
{"owner": {"type": "User"}},
[{"login": "charlie"}], # Is a contributor
]
result = await checker.is_allowed_for_autofix("charlie")
assert result.allowed is True
assert result.role == "CONTRIBUTOR"
@pytest.mark.asyncio
async def test_check_org_membership_true(permission_checker, mock_gh_client):
"""Test successful org membership check."""
mock_gh_client.get.side_effect = [
# Repo info
{"owner": {"type": "Organization"}},
# Org membership
{"state": "active"},
]
is_member = await permission_checker.check_org_membership("alice")
assert is_member is True
@pytest.mark.asyncio
async def test_check_org_membership_false(permission_checker, mock_gh_client):
"""Test failed org membership check."""
mock_gh_client.get.side_effect = [
# Repo info
{"owner": {"type": "Organization"}},
# Org membership check fails
Exception("Not a member"),
]
is_member = await permission_checker.check_org_membership("stranger")
assert is_member is False
@pytest.mark.asyncio
async def test_check_org_membership_non_org_repo(permission_checker, mock_gh_client):
"""Test org membership check for non-org repo returns True."""
mock_gh_client.get.return_value = {"owner": {"type": "User"}}
is_member = await permission_checker.check_org_membership("anyone")
assert is_member is True
@pytest.mark.asyncio
async def test_check_team_membership_true(permission_checker, mock_gh_client):
"""Test successful team membership check."""
mock_gh_client.get.return_value = {"state": "active"}
is_member = await permission_checker.check_team_membership("alice", "developers")
assert is_member is True
mock_gh_client.get.assert_called_with(
"/orgs/owner/teams/developers/memberships/alice"
)
@pytest.mark.asyncio
async def test_check_team_membership_false(permission_checker, mock_gh_client):
"""Test failed team membership check."""
mock_gh_client.get.side_effect = Exception("Not a team member")
is_member = await permission_checker.check_team_membership("bob", "developers")
assert is_member is False
@pytest.mark.asyncio
async def test_verify_automation_trigger_allowed(permission_checker, mock_gh_client):
"""Test complete automation trigger verification (allowed)."""
mock_gh_client.get.side_effect = [
# Issue events
[
{
"event": "labeled",
"label": {"name": "auto-fix"},
"actor": {"login": "alice"},
}
],
# Collaborator permission
{"permission": "write"},
]
result = await permission_checker.verify_automation_trigger(123, "auto-fix")
assert result.allowed is True
assert result.username == "alice"
assert result.role == "COLLABORATOR"
@pytest.mark.asyncio
async def test_verify_automation_trigger_denied(permission_checker, mock_gh_client):
"""Test complete automation trigger verification (denied)."""
mock_gh_client.get.side_effect = [
# Issue events
[
{
"event": "labeled",
"label": {"name": "auto-fix"},
"actor": {"login": "stranger"},
}
],
# Not a collaborator
Exception("Not a collaborator"),
# Repo info
{"owner": {"type": "User"}},
# Not in contributors
[],
]
result = await permission_checker.verify_automation_trigger(123, "auto-fix")
assert result.allowed is False
assert result.username == "stranger"
assert result.role == "NONE"
def test_log_permission_denial(permission_checker, caplog):
"""Test permission denial logging."""
import logging
caplog.set_level(logging.WARNING)
permission_checker.log_permission_denial(
action="auto-fix",
username="stranger",
role="NONE",
issue_number=123,
)
assert "PERMISSION DENIED" in caplog.text
assert "stranger" in caplog.text
assert "auto-fix" in caplog.text
@@ -0,0 +1,506 @@
"""
Tests for Rate Limiter
======================
Comprehensive test suite for rate limiting system covering:
- Token bucket algorithm
- GitHub API rate limiting
- AI cost tracking
- Decorator functionality
- Exponential backoff
- Edge cases
"""
import asyncio
import time
import pytest
from rate_limiter import (
CostLimitExceeded,
CostTracker,
RateLimiter,
RateLimitExceeded,
TokenBucket,
check_rate_limit,
rate_limited,
)
class TestTokenBucket:
"""Test token bucket algorithm."""
def test_initial_state(self):
"""Bucket starts full."""
bucket = TokenBucket(capacity=100, refill_rate=10.0)
assert bucket.available() == 100
def test_try_acquire_success(self):
"""Can acquire tokens when available."""
bucket = TokenBucket(capacity=100, refill_rate=10.0)
assert bucket.try_acquire(10) is True
assert bucket.available() == 90
def test_try_acquire_failure(self):
"""Cannot acquire when insufficient tokens."""
bucket = TokenBucket(capacity=100, refill_rate=10.0)
bucket.try_acquire(100)
assert bucket.try_acquire(1) is False
assert bucket.available() == 0
@pytest.mark.asyncio
async def test_acquire_waits(self):
"""Acquire waits for refill when needed."""
bucket = TokenBucket(capacity=10, refill_rate=10.0) # 10 tokens/sec
bucket.try_acquire(10) # Empty the bucket
start = time.monotonic()
result = await bucket.acquire(1) # Should wait ~0.1s for 1 token
elapsed = time.monotonic() - start
assert result is True
assert elapsed >= 0.05 # At least some delay
assert elapsed < 0.5 # But not too long
@pytest.mark.asyncio
async def test_acquire_timeout(self):
"""Acquire respects timeout."""
bucket = TokenBucket(capacity=10, refill_rate=1.0) # 1 token/sec
bucket.try_acquire(10) # Empty the bucket
start = time.monotonic()
result = await bucket.acquire(100, timeout=0.1) # Need 100s, timeout 0.1s
elapsed = time.monotonic() - start
assert result is False
assert elapsed < 0.5 # Should timeout quickly
def test_refill_over_time(self):
"""Tokens refill at correct rate."""
bucket = TokenBucket(capacity=100, refill_rate=100.0) # 100 tokens/sec
bucket.try_acquire(50) # Take 50
assert bucket.available() == 50
time.sleep(0.5) # Wait 0.5s = 50 tokens
available = bucket.available()
assert 95 <= available <= 100 # Should be near full
def test_time_until_available(self):
"""Calculate wait time correctly."""
bucket = TokenBucket(capacity=100, refill_rate=10.0)
bucket.try_acquire(100) # Empty
wait = bucket.time_until_available(10)
assert 0.9 <= wait <= 1.1 # Should be ~1s for 10 tokens at 10/s
class TestCostTracker:
"""Test AI cost tracking."""
def test_calculate_cost_sonnet(self):
"""Calculate cost for Sonnet model."""
cost = CostTracker.calculate_cost(
input_tokens=1_000_000,
output_tokens=1_000_000,
model="claude-sonnet-4-5-20250929",
)
# $3 input + $15 output = $18 for 1M each
assert cost == 18.0
def test_calculate_cost_opus(self):
"""Calculate cost for Opus model."""
cost = CostTracker.calculate_cost(
input_tokens=1_000_000,
output_tokens=1_000_000,
model="claude-opus-4-5-20251101",
)
# $15 input + $75 output = $90 for 1M each
assert cost == 90.0
def test_calculate_cost_haiku(self):
"""Calculate cost for Haiku model."""
cost = CostTracker.calculate_cost(
input_tokens=1_000_000,
output_tokens=1_000_000,
model="claude-haiku-4-5-20251001",
)
# $0.80 input + $4 output = $4.80 for 1M each
assert cost == 4.80
def test_calculate_cost_unknown_model(self):
"""Unknown model uses default pricing."""
cost = CostTracker.calculate_cost(
input_tokens=1_000_000,
output_tokens=1_000_000,
model="unknown-model",
)
# Default: $3 input + $15 output = $18
assert cost == 18.0
def test_add_operation_under_limit(self):
"""Can add operation under budget."""
tracker = CostTracker(cost_limit=10.0)
cost = tracker.add_operation(
input_tokens=100_000, # $0.30
output_tokens=50_000, # $0.75
model="claude-sonnet-4-5-20250929",
operation_name="test",
)
assert 1.0 <= cost <= 1.1
assert tracker.total_cost == cost
assert len(tracker.operations) == 1
def test_add_operation_exceeds_limit(self):
"""Cannot add operation that exceeds budget."""
tracker = CostTracker(cost_limit=1.0)
with pytest.raises(CostLimitExceeded):
tracker.add_operation(
input_tokens=1_000_000, # $3 - exceeds $1 limit
output_tokens=0,
model="claude-sonnet-4-5-20250929",
)
def test_remaining_budget(self):
"""Remaining budget calculated correctly."""
tracker = CostTracker(cost_limit=10.0)
tracker.add_operation(
input_tokens=100_000,
output_tokens=50_000,
model="claude-sonnet-4-5-20250929",
)
remaining = tracker.remaining_budget()
assert 8.9 <= remaining <= 9.1
def test_usage_report(self):
"""Usage report generated."""
tracker = CostTracker(cost_limit=10.0)
tracker.add_operation(
input_tokens=100_000,
output_tokens=50_000,
model="claude-sonnet-4-5-20250929",
operation_name="operation1",
)
report = tracker.usage_report()
assert "Total Cost:" in report
assert "Budget:" in report
assert "operation1" in report
class TestRateLimiter:
"""Test RateLimiter singleton."""
def setup_method(self):
"""Reset singleton before each test."""
RateLimiter.reset_instance()
def test_singleton_pattern(self):
"""Only one instance exists."""
limiter1 = RateLimiter.get_instance()
limiter2 = RateLimiter.get_instance()
assert limiter1 is limiter2
@pytest.mark.asyncio
async def test_acquire_github(self):
"""Can acquire GitHub tokens."""
limiter = RateLimiter.get_instance(github_limit=10)
assert await limiter.acquire_github() is True
assert limiter.github_requests == 1
@pytest.mark.asyncio
async def test_acquire_github_rate_limited(self):
"""GitHub rate limiting works."""
limiter = RateLimiter.get_instance(
github_limit=2,
github_refill_rate=0.0, # No refill
)
assert await limiter.acquire_github() is True
assert await limiter.acquire_github() is True
# Third should timeout immediately
assert await limiter.acquire_github(timeout=0.1) is False
assert limiter.github_rate_limited == 1
def test_check_github_available(self):
"""Check GitHub availability without consuming."""
limiter = RateLimiter.get_instance(github_limit=100)
available, msg = limiter.check_github_available()
assert available is True
assert "100" in msg
def test_track_ai_cost(self):
"""Track AI costs."""
limiter = RateLimiter.get_instance(cost_limit=10.0)
cost = limiter.track_ai_cost(
input_tokens=100_000,
output_tokens=50_000,
model="claude-sonnet-4-5-20250929",
operation_name="test",
)
assert cost > 0
assert limiter.cost_tracker.total_cost == cost
def test_track_ai_cost_exceeds_limit(self):
"""Cost limit enforcement."""
limiter = RateLimiter.get_instance(cost_limit=1.0)
with pytest.raises(CostLimitExceeded):
limiter.track_ai_cost(
input_tokens=1_000_000,
output_tokens=1_000_000,
model="claude-sonnet-4-5-20250929",
)
def test_check_cost_available(self):
"""Check cost availability."""
limiter = RateLimiter.get_instance(cost_limit=10.0)
available, msg = limiter.check_cost_available()
assert available is True
assert "$10" in msg
def test_record_github_error(self):
"""Record GitHub errors."""
limiter = RateLimiter.get_instance()
limiter.record_github_error()
assert limiter.github_errors == 1
def test_statistics(self):
"""Statistics collection."""
limiter = RateLimiter.get_instance()
stats = limiter.statistics()
assert "github" in stats
assert "cost" in stats
assert "runtime_seconds" in stats
def test_report(self):
"""Report generation."""
limiter = RateLimiter.get_instance()
report = limiter.report()
assert "Rate Limiter Report" in report
assert "GitHub API:" in report
assert "AI Cost:" in report
class TestRateLimitedDecorator:
"""Test @rate_limited decorator."""
def setup_method(self):
"""Reset singleton before each test."""
RateLimiter.reset_instance()
@pytest.mark.asyncio
async def test_decorator_success(self):
"""Decorator allows successful calls."""
@rate_limited(operation_type="github")
async def test_func():
return "success"
result = await test_func()
assert result == "success"
@pytest.mark.asyncio
async def test_decorator_rate_limited(self):
"""Decorator handles rate limiting."""
limiter = RateLimiter.get_instance(
github_limit=1,
github_refill_rate=0.0, # No refill
)
@rate_limited(operation_type="github", max_retries=0)
async def test_func():
# Consume token manually first
if limiter.github_requests == 0:
await limiter.acquire_github()
return "success"
# First call succeeds
result = await test_func()
assert result == "success"
# Second call should fail (no tokens, no retry)
with pytest.raises(RateLimitExceeded):
await test_func()
@pytest.mark.asyncio
async def test_decorator_retries(self):
"""Decorator retries on rate limit."""
limiter = RateLimiter.get_instance(
github_limit=1,
github_refill_rate=10.0, # Fast refill for test
)
call_count = 0
@rate_limited(operation_type="github", max_retries=2, base_delay=0.1)
async def test_func():
nonlocal call_count
call_count += 1
if call_count == 1:
# Consume all tokens
await limiter.acquire_github()
raise Exception("403 rate limit exceeded")
return "success"
result = await test_func()
assert result == "success"
assert call_count == 2 # Initial + 1 retry
@pytest.mark.asyncio
async def test_decorator_cost_limit_no_retry(self):
"""Cost limit is not retried."""
limiter = RateLimiter.get_instance(cost_limit=0.1)
@rate_limited(operation_type="github")
async def test_func():
# Exceed cost limit
limiter.track_ai_cost(
input_tokens=1_000_000,
output_tokens=1_000_000,
model="claude-sonnet-4-5-20250929",
)
return "success"
with pytest.raises(CostLimitExceeded):
await test_func()
class TestCheckRateLimit:
"""Test check_rate_limit helper."""
def setup_method(self):
"""Reset singleton before each test."""
RateLimiter.reset_instance()
@pytest.mark.asyncio
async def test_check_github_success(self):
"""Check passes when available."""
RateLimiter.get_instance(github_limit=100)
await check_rate_limit(operation_type="github") # Should not raise
@pytest.mark.asyncio
async def test_check_github_failure(self):
"""Check fails when rate limited."""
limiter = RateLimiter.get_instance(
github_limit=0, # No tokens
github_refill_rate=0.0,
)
with pytest.raises(RateLimitExceeded):
await check_rate_limit(operation_type="github")
@pytest.mark.asyncio
async def test_check_cost_success(self):
"""Check passes when budget available."""
RateLimiter.get_instance(cost_limit=10.0)
await check_rate_limit(operation_type="cost") # Should not raise
@pytest.mark.asyncio
async def test_check_cost_failure(self):
"""Check fails when budget exceeded."""
limiter = RateLimiter.get_instance(cost_limit=0.01)
limiter.cost_tracker.total_cost = 10.0 # Manually exceed
with pytest.raises(CostLimitExceeded):
await check_rate_limit(operation_type="cost")
class TestIntegration:
"""Integration tests simulating real usage."""
def setup_method(self):
"""Reset singleton before each test."""
RateLimiter.reset_instance()
@pytest.mark.asyncio
async def test_github_workflow(self):
"""Simulate GitHub automation workflow."""
limiter = RateLimiter.get_instance(
github_limit=10,
github_refill_rate=10.0,
cost_limit=5.0,
)
@rate_limited(operation_type="github")
async def fetch_pr():
return {"number": 123}
@rate_limited(operation_type="github")
async def fetch_diff():
return {"files": []}
# Simulate workflow
pr = await fetch_pr()
assert pr["number"] == 123
diff = await fetch_diff()
assert "files" in diff
# Track AI review
limiter.track_ai_cost(
input_tokens=5000,
output_tokens=2000,
model="claude-sonnet-4-5-20250929",
operation_name="PR review",
)
# Check stats
stats = limiter.statistics()
assert stats["github"]["total_requests"] >= 2
assert stats["cost"]["total_cost"] > 0
@pytest.mark.asyncio
async def test_burst_handling(self):
"""Handle burst of requests."""
limiter = RateLimiter.get_instance(
github_limit=5,
github_refill_rate=5.0,
)
@rate_limited(operation_type="github", max_retries=1, base_delay=0.1)
async def api_call(n: int):
return n
# Make 10 calls (will hit limit at 5, then wait for refill)
results = []
for i in range(10):
result = await api_call(i)
results.append(result)
assert len(results) == 10
assert results == list(range(10))
@pytest.mark.asyncio
async def test_cost_tracking_multiple_models(self):
"""Track costs across different models."""
limiter = RateLimiter.get_instance(cost_limit=100.0)
# Sonnet for review
limiter.track_ai_cost(
input_tokens=10_000,
output_tokens=5_000,
model="claude-sonnet-4-5-20250929",
operation_name="PR review",
)
# Haiku for triage
limiter.track_ai_cost(
input_tokens=5_000,
output_tokens=2_000,
model="claude-haiku-4-5-20251001",
operation_name="Issue triage",
)
# Opus for complex analysis
limiter.track_ai_cost(
input_tokens=20_000,
output_tokens=10_000,
model="claude-opus-4-5-20251101",
operation_name="Architecture review",
)
stats = limiter.statistics()
assert stats["cost"]["operations"] == 3
assert stats["cost"]["total_cost"] < 100.0
report = limiter.cost_tracker.usage_report()
assert "PR review" in report
assert "Issue triage" in report
assert "Architecture review" in report
if __name__ == "__main__":
pytest.main([__file__, "-v"])
-2
View File
@@ -210,7 +210,6 @@ class GitLabRunnerConfig:
# Model settings
model: str = "claude-sonnet-4-5-20250929"
thinking_level: str = "medium"
fast_mode: bool = False
def to_dict(self) -> dict:
return {
@@ -219,7 +218,6 @@ class GitLabRunnerConfig:
"instance_url": self.instance_url,
"model": self.model,
"thinking_level": self.thinking_level,
"fast_mode": self.fast_mode,
}
+2 -5
View File
@@ -47,7 +47,6 @@ sys.path.insert(0, str(Path(__file__).parent))
from core.io_utils import safe_print
from models import GitLabRunnerConfig
from orchestrator import GitLabOrchestrator, ProgressCallback
from phase_config import sanitize_thinking_level
def print_progress(callback: ProgressCallback) -> None:
@@ -287,7 +286,8 @@ def main():
"--thinking-level",
type=str,
default="medium",
help="Thinking level for extended reasoning (low, medium, high)",
choices=["none", "low", "medium", "high"],
help="Thinking level for extended reasoning",
)
subparsers = parser.add_subparsers(dest="command", help="Command to run")
@@ -305,9 +305,6 @@ def main():
args = parser.parse_args()
# Validate and sanitize thinking level (handles legacy values like 'ultrathink')
args.thinking_level = sanitize_thinking_level(args.thinking_level)
if not args.command:
parser.print_help()
sys.exit(1)
@@ -168,7 +168,6 @@ Provide your review in the following JSON format:
Tuple of (findings, verdict, summary, blockers)
"""
from core.client import create_client
from phase_config import get_model_betas, resolve_model_id
self._report_progress(
"analyzing", 30, "Running AI analysis...", mr_iid=context.mr_iid
@@ -230,16 +229,11 @@ Provide your review in the following JSON format:
project_root = self.project_dir.parent.parent
# Create the client
model_shorthand = self.config.model or "sonnet"
model = resolve_model_id(model_shorthand)
betas = get_model_betas(model_shorthand)
client = create_client(
project_dir=project_root,
spec_dir=self.gitlab_dir,
model=model,
model=self.config.model,
agent_type="pr_reviewer", # Read-only - no bash, no edits
betas=betas,
fast_mode=self.config.fast_mode,
)
result_text = ""
+2 -11
View File
@@ -48,7 +48,6 @@ from ideation import (
IdeationPhaseResult,
)
from ideation.generator import IDEATION_TYPE_LABELS, IDEATION_TYPES
from phase_config import sanitize_thinking_level
# Re-export for backward compatibility
__all__ = [
@@ -110,7 +109,8 @@ def main():
"--thinking-level",
type=str,
default="medium",
help="Thinking level for extended reasoning (low, medium, high)",
choices=["none", "low", "medium", "high", "ultrathink"],
help="Thinking level for extended reasoning (default: medium)",
)
parser.add_argument(
"--refresh",
@@ -122,17 +122,9 @@ def main():
action="store_true",
help="Append new ideas to existing session instead of replacing",
)
parser.add_argument(
"--fast-mode",
action="store_true",
help="Enable Fast Mode for faster Opus 4.6 output",
)
args = parser.parse_args()
# Validate and sanitize thinking level (handles legacy values like 'ultrathink')
args.thinking_level = sanitize_thinking_level(args.thinking_level)
# Validate project directory
project_dir = args.project.resolve()
if not project_dir.exists():
@@ -160,7 +152,6 @@ def main():
thinking_level=args.thinking_level,
refresh=args.refresh,
append=args.append,
fast_mode=args.fast_mode,
)
try:
+7 -6
View File
@@ -47,7 +47,7 @@ from debug import (
debug_section,
debug_success,
)
from phase_config import get_thinking_budget, resolve_model_id, sanitize_thinking_level
from phase_config import get_thinking_budget, resolve_model_id
def load_project_context(project_dir: str) -> str:
@@ -190,6 +190,7 @@ Current question: {message}"""
)
try:
# Build options dict - only include max_thinking_tokens if not None
options_kwargs = {
"model": resolve_model_id(model), # Resolve via API Profile if configured
"system_prompt": system_prompt,
@@ -198,7 +199,9 @@ Current question: {message}"""
"cwd": str(project_path),
}
options_kwargs["max_thinking_tokens"] = max_thinking_tokens
# Only add thinking tokens if the thinking level is not "none"
if max_thinking_tokens is not None:
options_kwargs["max_thinking_tokens"] = max_thinking_tokens
# Create Claude SDK client with appropriate settings for insights
client = ClaudeSDKClient(options=ClaudeAgentOptions(**options_kwargs))
@@ -353,13 +356,11 @@ def main():
parser.add_argument(
"--thinking-level",
default="medium",
help="Thinking level for extended reasoning (low, medium, high)",
choices=["none", "low", "medium", "high", "ultrathink"],
help="Thinking level for extended reasoning (default: medium)",
)
args = parser.parse_args()
# Validate and sanitize thinking level (handles legacy values like 'ultrathink')
args.thinking_level = sanitize_thinking_level(args.thinking_level)
debug_section("insights_runner", "Starting Insights Chat")
project_dir = args.project_dir
@@ -7,7 +7,6 @@ from datetime import datetime
from pathlib import Path
from typing import TYPE_CHECKING
from core.file_utils import write_json_atomic
from ui import muted, print_status
from .models import RoadmapPhaseResult
@@ -147,22 +146,23 @@ Output your findings to competitor_analysis.json.
def _create_disabled_analysis_file(self):
"""Create an analysis file indicating the feature is disabled."""
write_json_atomic(
self.analysis_file,
{
"enabled": False,
"reason": "Competitor analysis not enabled by user",
"competitors": [],
"market_gaps": [],
"insights_summary": {
"top_pain_points": [],
"differentiator_opportunities": [],
"market_trends": [],
with open(self.analysis_file, "w", encoding="utf-8") as f:
json.dump(
{
"enabled": False,
"reason": "Competitor analysis not enabled by user",
"competitors": [],
"market_gaps": [],
"insights_summary": {
"top_pain_points": [],
"differentiator_opportunities": [],
"market_trends": [],
},
"created_at": datetime.now().isoformat(),
},
"created_at": datetime.now().isoformat(),
},
indent=2,
)
f,
indent=2,
)
def _create_error_analysis_file(self, error: str, errors: list[str] | None = None):
"""Create an analysis file with error information."""
@@ -181,4 +181,5 @@ Output your findings to competitor_analysis.json.
if errors:
data["errors"] = errors
write_json_atomic(self.analysis_file, data, indent=2)
with open(self.analysis_file, "w", encoding="utf-8") as f:
json.dump(data, f, indent=2)
@@ -2,10 +2,10 @@
Graphiti integration for retrieving graph hints during roadmap generation.
"""
import json
from datetime import datetime
from pathlib import Path
from core.file_utils import write_json_atomic
from debug import debug, debug_error, debug_success
from graphiti_providers import get_graph_hints, is_graphiti_enabled
from ui import print_status
@@ -81,36 +81,42 @@ class GraphHintsProvider:
def _create_disabled_hints_file(self):
"""Create a hints file indicating Graphiti is disabled."""
write_json_atomic(
self.hints_file,
{
"enabled": False,
"reason": "Graphiti not configured",
"hints": [],
"created_at": datetime.now().isoformat(),
},
)
with open(self.hints_file, "w", encoding="utf-8") as f:
json.dump(
{
"enabled": False,
"reason": "Graphiti not configured",
"hints": [],
"created_at": datetime.now().isoformat(),
},
f,
indent=2,
)
def _save_hints(self, hints: list):
"""Save retrieved hints to file."""
write_json_atomic(
self.hints_file,
{
"enabled": True,
"hints": hints,
"hint_count": len(hints),
"created_at": datetime.now().isoformat(),
},
)
with open(self.hints_file, "w", encoding="utf-8") as f:
json.dump(
{
"enabled": True,
"hints": hints,
"hint_count": len(hints),
"created_at": datetime.now().isoformat(),
},
f,
indent=2,
)
def _save_error_hints(self, error: str):
"""Save error information to hints file."""
write_json_atomic(
self.hints_file,
{
"enabled": True,
"error": error,
"hints": [],
"created_at": datetime.now().isoformat(),
},
)
with open(self.hints_file, "w", encoding="utf-8") as f:
json.dump(
{
"enabled": True,
"error": error,
"hints": [],
"created_at": datetime.now().isoformat(),
},
f,
indent=2,
)
+2 -2
View File
@@ -7,7 +7,6 @@ import shutil
from pathlib import Path
from typing import TYPE_CHECKING
from core.file_utils import write_json_atomic
from debug import (
debug,
debug_detailed,
@@ -510,7 +509,8 @@ Output the complete roadmap to roadmap.json.
# Write back the merged roadmap
try:
write_json_atomic(self.roadmap_file, data, indent=2)
with open(self.roadmap_file, "w", encoding="utf-8") as f:
json.dump(data, f, indent=2)
debug_success(
"roadmap_phase",
"Merged preserved features into roadmap.json",
+2 -5
View File
@@ -37,7 +37,6 @@ if env_file.exists():
load_dotenv(env_file)
from debug import debug, debug_error, debug_warning
from phase_config import sanitize_thinking_level
# Import from refactored roadmap package (now a subpackage of runners)
from runners.roadmap import RoadmapOrchestrator
@@ -72,7 +71,8 @@ def main():
"--thinking-level",
type=str,
default="medium",
help="Thinking level for extended reasoning (low, medium, high)",
choices=["none", "low", "medium", "high", "ultrathink"],
help="Thinking level for extended reasoning (default: medium)",
)
parser.add_argument(
"--refresh",
@@ -94,9 +94,6 @@ def main():
args = parser.parse_args()
# Validate and sanitize thinking level (handles legacy values like 'ultrathink')
args.thinking_level = sanitize_thinking_level(args.thinking_level)
debug(
"roadmap_runner",
"CLI invoked",
+3 -5
View File
@@ -108,7 +108,7 @@ init_sentry(component="spec-runner")
from core.platform import is_windows
from debug import debug, debug_error, debug_section, debug_success
from phase_config import resolve_model_id, sanitize_thinking_level
from phase_config import resolve_model_id
from review import ReviewState
from spec import SpecOrchestrator
from ui import Icons, highlight, muted, print_section, print_status
@@ -185,7 +185,8 @@ Examples:
"--thinking-level",
type=str,
default="medium",
help="Thinking level for extended thinking (low, medium, high)",
choices=["none", "low", "medium", "high", "ultrathink"],
help="Thinking level for extended thinking (none, low, medium, high, ultrathink)",
)
parser.add_argument(
"--no-ai-assessment",
@@ -221,9 +222,6 @@ Examples:
args = parser.parse_args()
# Validate and sanitize thinking level (handles legacy values like 'ultrathink')
args.thinking_level = sanitize_thinking_level(args.thinking_level)
# Warn user about direct mode risks
if args.direct:
print_status(
+379
View File
@@ -0,0 +1,379 @@
#!/usr/bin/env python3
"""
Memory Save Verification Script
================================
Tests the memory save functionality with Graphiti enabled.
Run with DEBUG=true SENTRY_DEV=true to verify Sentry events.
Usage:
cd apps/backend
DEBUG=true python scripts/test_memory_save.py
# With Sentry enabled (for Sentry event verification):
DEBUG=true SENTRY_DEV=true python scripts/test_memory_save.py
"""
import asyncio
import logging
import os
import sys
import tempfile
from pathlib import Path
# Add the backend directory to the path so we can import modules
SCRIPT_DIR = Path(__file__).resolve().parent
BACKEND_DIR = SCRIPT_DIR.parent
if str(BACKEND_DIR) not in sys.path:
sys.path.insert(0, str(BACKEND_DIR))
# Configure logging
logging.basicConfig(
level=logging.DEBUG if os.environ.get("DEBUG") else logging.INFO,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
)
logger = logging.getLogger(__name__)
async def test_memory_imports():
"""Test that all memory-related imports work correctly."""
print("\n=== Testing Memory System Imports ===")
errors = []
# Test memory_manager imports
try:
from agents.memory_manager import (
debug_memory_system_status,
get_graphiti_context,
save_session_memory,
)
print("[OK] agents.memory_manager imports successful")
except ImportError as e:
errors.append(f"agents.memory_manager: {e}")
print(f"[FAIL] agents.memory_manager: {e}")
# Test graphiti_helpers imports
try:
from memory.graphiti_helpers import (
get_graphiti_memory,
is_graphiti_memory_enabled,
save_to_graphiti_async,
)
print("[OK] memory.graphiti_helpers imports successful")
except ImportError as e:
errors.append(f"memory.graphiti_helpers: {e}")
print(f"[FAIL] memory.graphiti_helpers: {e}")
# Test graphiti_config imports
try:
from graphiti_config import (
get_graphiti_status,
is_graphiti_enabled,
)
print("[OK] graphiti_config imports successful")
except ImportError as e:
errors.append(f"graphiti_config: {e}")
print(f"[FAIL] graphiti_config: {e}")
# Test sentry imports
try:
from core.sentry import (
capture_exception,
capture_message,
init_sentry,
)
from core.sentry import (
is_enabled as sentry_is_enabled,
)
print("[OK] core.sentry imports successful")
except ImportError as e:
errors.append(f"core.sentry: {e}")
print(f"[FAIL] core.sentry: {e}")
# Test graphiti queries_pkg imports
try:
from integrations.graphiti.queries_pkg.client import GraphitiClient
from integrations.graphiti.queries_pkg.graphiti import GraphitiMemory
from integrations.graphiti.queries_pkg.queries import GraphitiQueries
from integrations.graphiti.queries_pkg.search import GraphitiSearch
print("[OK] integrations.graphiti.queries_pkg imports successful")
except ImportError as e:
errors.append(f"integrations.graphiti.queries_pkg: {e}")
print(f"[FAIL] integrations.graphiti.queries_pkg: {e}")
if errors:
print(f"\n[FAIL] {len(errors)} import error(s) found")
return False
else:
print("\n[OK] All imports successful")
return True
async def test_graphiti_status():
"""Test Graphiti configuration status."""
print("\n=== Testing Graphiti Status ===")
try:
from graphiti_config import get_graphiti_status, is_graphiti_enabled
enabled = is_graphiti_enabled()
status = get_graphiti_status()
print(f"Graphiti Enabled: {enabled}")
print(f"Graphiti Available: {status.get('available')}")
print(f" Host: {status.get('host')}")
print(f" Port: {status.get('port')}")
print(f" Database: {status.get('database')}")
print(f" LLM Provider: {status.get('llm_provider')}")
print(f" Embedder Provider: {status.get('embedder_provider')}")
if not status.get("available"):
print(f" Reason: {status.get('reason')}")
print(f" Errors: {status.get('errors')}")
return enabled
except Exception as e:
print(f"[FAIL] Error checking Graphiti status: {e}")
return False
async def test_sentry_status():
"""Test Sentry configuration status.
Returns True if:
- Sentry is enabled and ready, OR
- Sentry is properly disabled due to configuration (no DSN, not dev mode, SDK not installed)
Only returns False if there's an unexpected error.
"""
print("\n=== Testing Sentry Status ===")
try:
from core.sentry import init_sentry, is_enabled, is_initialized
# Check if SENTRY_DEV is set
sentry_dev = os.environ.get("SENTRY_DEV", "").lower() in ("true", "1", "yes")
sentry_dsn = os.environ.get("SENTRY_DSN", "")
print(f"SENTRY_DSN set: {bool(sentry_dsn)}")
print(f"SENTRY_DEV: {sentry_dev}")
# Initialize Sentry
init_sentry(component="memory-test")
print(f"Sentry Initialized: {is_initialized()}")
print(f"Sentry Enabled: {is_enabled()}")
if is_enabled():
print("[OK] Sentry is enabled and ready to capture events")
else:
# Sentry being disabled is OK - it just means configuration requires it
if not sentry_dsn:
print("[INFO] Sentry disabled - no SENTRY_DSN configured (expected)")
elif not sentry_dev:
print(
"[INFO] Sentry disabled in dev mode - set SENTRY_DEV=true to enable"
)
else:
print("[INFO] Sentry disabled - sentry-sdk may not be installed")
print(
"[OK] Sentry integration configured correctly (disabled by configuration)"
)
# Return True even if disabled - we're testing that the integration works,
# not that Sentry is necessarily enabled
return True
except Exception as e:
print(f"[FAIL] Error checking Sentry status: {e}")
return False
async def test_memory_save_flow():
"""Test the memory save flow end-to-end."""
print("\n=== Testing Memory Save Flow ===")
# Create temporary directories for testing
with tempfile.TemporaryDirectory() as tmp_dir:
tmp_path = Path(tmp_dir)
spec_dir = tmp_path / "test_spec"
spec_dir.mkdir(parents=True)
project_dir = tmp_path / "project"
project_dir.mkdir(parents=True)
print(f"Test spec_dir: {spec_dir}")
print(f"Test project_dir: {project_dir}")
try:
from agents.memory_manager import save_session_memory
# Test memory save with sample data
subtask_id = "test-subtask-1"
session_num = 1
success = True
subtasks_completed = ["test-subtask-1"]
discoveries = {
"files_understood": {"test.py": "Test file for memory verification"},
"patterns_found": ["Test pattern: Always verify imports"],
"gotchas_encountered": ["Test gotcha: Check async/await usage"],
}
print("\nSaving test session memory...")
print(f" subtask_id: {subtask_id}")
print(f" session_num: {session_num}")
print(f" success: {success}")
result, storage_type = await save_session_memory(
spec_dir=spec_dir,
project_dir=project_dir,
subtask_id=subtask_id,
session_num=session_num,
success=success,
subtasks_completed=subtasks_completed,
discoveries=discoveries,
)
print("\nMemory Save Result:")
print(f" Success: {result}")
print(f" Storage Type: {storage_type}")
if result:
print(f"[OK] Memory save succeeded using {storage_type} storage")
# Verify file was created if file-based
if storage_type == "file":
memory_file = (
spec_dir
/ "memory"
/ "session_insights"
/ f"session_{session_num:03d}.json"
)
if memory_file.exists():
print(f"[OK] Memory file created: {memory_file}")
else:
print(f"[WARN] Memory file not found: {memory_file}")
return True
else:
print("[FAIL] Memory save failed")
return False
except Exception as e:
print(f"[FAIL] Error during memory save test: {e}")
import traceback
traceback.print_exc()
# Test Sentry capture
try:
from core.sentry import capture_exception, is_enabled
if is_enabled():
capture_exception(
e,
operation="test_memory_save",
context="verification_script",
)
print("[INFO] Exception captured to Sentry")
except Exception:
pass
return False
async def test_sentry_capture():
"""Test that Sentry capture works (only if Sentry is enabled)."""
print("\n=== Testing Sentry Capture ===")
try:
from core.sentry import (
capture_exception,
capture_message,
is_enabled,
)
if not is_enabled():
print("[SKIP] Sentry not enabled - skipping capture test")
print(" Set SENTRY_DSN and SENTRY_DEV=true to test Sentry capture")
return True
# Test capture_message
print("Sending test message to Sentry...")
capture_message(
"Memory save verification script test message",
level="info",
test_type="verification",
component="memory-test",
)
print("[OK] Test message sent to Sentry")
# Test capture_exception
print("Sending test exception to Sentry...")
try:
raise ValueError("Test exception for memory save verification")
except Exception as e:
capture_exception(
e,
operation="test_exception",
context="verification_script",
)
print("[OK] Test exception sent to Sentry")
print("\n[INFO] Check your Sentry dashboard for the test events")
return True
except Exception as e:
print(f"[FAIL] Error testing Sentry capture: {e}")
return False
async def main():
"""Run all memory save verification tests."""
print("=" * 60)
print("Memory Save Verification Script")
print("=" * 60)
print(f"DEBUG: {os.environ.get('DEBUG', 'not set')}")
print(f"SENTRY_DEV: {os.environ.get('SENTRY_DEV', 'not set')}")
print(f"GRAPHITI_ENABLED: {os.environ.get('GRAPHITI_ENABLED', 'not set')}")
results = {}
# Run tests
results["imports"] = await test_memory_imports()
results["graphiti_status"] = await test_graphiti_status()
results["sentry_status"] = await test_sentry_status()
results["memory_save"] = await test_memory_save_flow()
results["sentry_capture"] = await test_sentry_capture()
# Summary
print("\n" + "=" * 60)
print("Test Summary")
print("=" * 60)
passed = 0
failed = 0
for test_name, result in results.items():
status = "[OK]" if result else "[FAIL]"
print(f" {status} {test_name}")
if result:
passed += 1
else:
failed += 1
print(f"\nTotal: {passed} passed, {failed} failed")
if failed > 0:
print("\n[FAIL] Some tests failed")
sys.exit(1)
else:
print("\n[OK] All tests passed")
sys.exit(0)
if __name__ == "__main__":
asyncio.run(main())
-25
View File
@@ -604,28 +604,3 @@ def get_recovery_context(spec_dir: Path, project_dir: Path, subtask_id: str) ->
"subtask_history": manager.get_subtask_history(subtask_id),
"stuck_subtasks": manager.get_stuck_subtasks(),
}
def reset_subtask(spec_dir: Path, project_dir: Path, subtask_id: str) -> None:
"""
Reset a subtask's attempt history (module-level wrapper).
Args:
spec_dir: Spec directory
project_dir: Project directory
subtask_id: Subtask ID to reset
"""
manager = RecoveryManager(spec_dir, project_dir)
manager.reset_subtask(subtask_id)
def clear_stuck_subtasks(spec_dir: Path, project_dir: Path) -> None:
"""
Clear all stuck subtasks (module-level wrapper).
Args:
spec_dir: Spec directory
project_dir: Project directory
"""
manager = RecoveryManager(spec_dir, project_dir)
manager.clear_stuck_subtasks()
+1 -1
View File
@@ -382,7 +382,7 @@ async def run_ai_complexity_assessment(
context += f"\n**Task Description**: {task_description or 'Not provided'}\n"
# Add project index if available
auto_build_index = spec_dir.parent.parent / "project_index.json"
auto_build_index = spec_dir.parent.parent / "auto-claude" / "project_index.json"
if auto_build_index.exists():
context += f"\n**Project Index**: Available at {auto_build_index}\n"
+1 -1
View File
@@ -34,7 +34,7 @@ def run_context_discovery(
if context_file.exists():
return True, "context.json already exists"
script_path = project_dir / ".auto-claude" / "context.py"
script_path = project_dir / "auto-claude" / "context.py"
if not script_path.exists():
return False, f"Script not found: {script_path}"
+1 -1
View File
@@ -24,7 +24,7 @@ def run_discovery_script(
(success, output_message)
"""
spec_index = spec_dir / "project_index.json"
auto_build_index = project_dir / ".auto-claude" / "project_index.json"
auto_build_index = project_dir / "auto-claude" / "project_index.json"
# Check if project_index already exists
if auto_build_index.exists() and not spec_index.exists():
+1 -1
View File
@@ -22,7 +22,7 @@ def run_script(project_dir: Path, script: str, args: list[str]) -> tuple[bool, s
Returns:
Tuple of (success: bool, output: str)
"""
script_path = project_dir / ".auto-claude" / script
script_path = project_dir / "auto-claude" / script
if not script_path.exists():
return False, f"Script not found: {script_path}"
+2 -23
View File
@@ -54,7 +54,6 @@ class AgentRunner:
additional_context: str = "",
interactive: bool = False,
thinking_budget: int | None = None,
thinking_level: str = "medium",
prior_phase_summaries: str | None = None,
) -> tuple[bool, str]:
"""Run an agent with the given prompt.
@@ -64,7 +63,6 @@ class AgentRunner:
additional_context: Additional context to add to the prompt
interactive: Whether to run in interactive mode
thinking_budget: Token budget for extended thinking (None = disabled)
thinking_level: Thinking level string (low, medium, high)
prior_phase_summaries: Summaries from previous phases for context
Returns:
@@ -123,31 +121,12 @@ class AgentRunner:
)
# Lazy import to avoid circular import with core.client
from core.client import create_client
from phase_config import (
get_fast_mode,
get_model_betas,
get_thinking_kwargs_for_model,
resolve_model_id,
)
betas = get_model_betas(self.model)
fast_mode = get_fast_mode(self.spec_dir)
debug(
"agent_runner",
f"[Fast Mode] {'ENABLED' if fast_mode else 'disabled'} for spec pipeline agent",
)
resolved_model = resolve_model_id(self.model)
thinking_kwargs = get_thinking_kwargs_for_model(
resolved_model, thinking_level or "medium"
)
client = create_client(
self.project_dir,
self.spec_dir,
resolved_model,
betas=betas,
fast_mode=fast_mode,
**thinking_kwargs,
self.model,
max_thinking_tokens=thinking_budget,
)
current_tool = None
+2 -3
View File
@@ -71,7 +71,7 @@ class SpecOrchestrator:
spec_name: Optional spec name (for existing specs)
spec_dir: Optional existing spec directory (for UI integration)
model: The model to use for agent execution
thinking_level: Thinking level (low, medium, high)
thinking_level: Thinking level (none, low, medium, high, ultrathink)
complexity_override: Force a specific complexity level
use_ai_assessment: Whether to use AI for complexity assessment
"""
@@ -158,7 +158,6 @@ class SpecOrchestrator:
additional_context,
interactive,
thinking_budget=thinking_budget,
thinking_level=self.thinking_level,
prior_phase_summaries=prior_summaries if prior_summaries else None,
)
@@ -604,7 +603,7 @@ class SpecOrchestrator:
The complexity assessment
"""
project_index = {}
auto_build_index = self.project_dir / ".auto-claude" / "project_index.json"
auto_build_index = self.project_dir / "auto-claude" / "project_index.json"
if auto_build_index.exists():
with open(auto_build_index, encoding="utf-8") as f:
project_index = json.load(f)
+21
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@@ -0,0 +1,21 @@
"""Backward compatibility shim - import from analysis.test_discovery instead."""
from analysis.test_discovery import (
FRAMEWORK_PATTERNS,
TestDiscovery,
TestDiscoveryResult,
TestFramework,
discover_tests,
get_test_command,
get_test_frameworks,
)
__all__ = [
"TestFramework",
"TestDiscoveryResult",
"TestDiscovery",
"discover_tests",
"get_test_command",
"get_test_frameworks",
"FRAMEWORK_PATTERNS",
]
+2 -1
View File
@@ -1,6 +1,6 @@
{
"name": "auto-claude-ui",
"version": "2.7.6-beta.3",
"version": "2.7.6-beta.2",
"type": "module",
"description": "Desktop UI for Auto Claude autonomous coding framework",
"homepage": "https://github.com/AndyMik90/Auto-Claude",
@@ -95,6 +95,7 @@
"react-dom": "^19.2.3",
"react-i18next": "^16.5.0",
"react-markdown": "^10.1.0",
"react-resizable-panels": "^4.2.0",
"rehype-raw": "^7.0.0",
"rehype-sanitize": "^6.0.0",
"remark-gfm": "^4.0.1",
@@ -1,614 +0,0 @@
/**
* End-to-End Integration Tests for Rate Limit Subtask Recovery
*
* Tests the complete recovery flow:
* 1. Task execution with multiple subtasks
* 2. Rate limit error during execution
* 3. Subtask reset to pending in implementation_plan.json
* 4. IPC events emitted correctly
* 5. Task resumes automatically
* 6. Completed subtasks maintain their status
*/
import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';
import { mkdtempSync, writeFileSync, readFileSync, rmSync, mkdirSync } from 'fs';
import { tmpdir } from 'os';
import path from 'path';
// Test directories
let TEST_DIR: string;
let TEST_SPEC_DIR: string;
let PLAN_PATH: string;
// Setup test directories
function setupTestDirs(): void {
TEST_DIR = mkdtempSync(path.join(tmpdir(), 'rate-limit-recovery-test-'));
TEST_SPEC_DIR = path.join(TEST_DIR, '.auto-claude/specs/001-test-feature');
PLAN_PATH = path.join(TEST_SPEC_DIR, 'implementation_plan.json');
mkdirSync(TEST_SPEC_DIR, { recursive: true });
}
// Create implementation plan with mixed subtask states
function createMixedStatePlan() {
return {
feature: 'Test Feature with Rate Limit Recovery',
workflow_type: 'feature',
services_involved: ['backend', 'frontend'],
phases: [
{
id: 'phase-1',
name: 'Implementation Phase',
type: 'implementation',
subtasks: [
{
id: 'subtask-1-1',
description: 'First subtask - already completed',
status: 'completed',
started_at: '2026-01-31T12:00:00Z',
completed_at: '2026-01-31T12:05:00Z',
service: 'backend'
},
{
id: 'subtask-1-2',
description: 'Second subtask - currently in progress',
status: 'in_progress',
started_at: '2026-01-31T12:05:00Z',
completed_at: null,
service: 'backend'
},
{
id: 'subtask-1-3',
description: 'Third subtask - pending',
status: 'pending',
started_at: null,
completed_at: null,
service: 'frontend'
},
{
id: 'subtask-1-4',
description: 'Fourth subtask - failed previously',
status: 'failed',
started_at: '2026-01-31T11:00:00Z',
completed_at: null,
service: 'frontend'
}
]
},
{
id: 'phase-2',
name: 'Testing Phase',
type: 'testing',
subtasks: [
{
id: 'subtask-2-1',
description: 'Write unit tests',
status: 'pending',
started_at: null,
completed_at: null,
service: 'backend'
}
]
}
],
status: 'in_progress',
planStatus: 'in_progress',
created_at: '2026-01-31T11:00:00Z',
updated_at: '2026-01-31T12:05:00Z'
};
}
// Helper to read plan from file
function readPlan() {
const content = readFileSync(PLAN_PATH, 'utf-8');
return JSON.parse(content);
}
// Types for plan structure
interface Subtask {
id: string;
description: string;
status: string;
started_at: string | null;
completed_at: string | null;
service: string;
}
interface Phase {
id: string;
name: string;
type: string;
subtasks: Subtask[];
}
interface Plan {
feature: string;
workflow_type: string;
services_involved: string[];
phases: Phase[];
status: string;
planStatus: string;
created_at: string;
updated_at: string;
}
// Helper to find subtask in plan
function findSubtask(plan: Plan, subtaskId: string): Subtask | null {
for (const phase of plan.phases) {
const subtask = phase.subtasks.find((s) => s.id === subtaskId);
if (subtask) return subtask;
}
return null;
}
describe('Rate Limit Subtask Recovery - End-to-End', () => {
beforeEach(() => {
setupTestDirs();
vi.clearAllMocks();
});
afterEach(() => {
if (TEST_DIR) {
rmSync(TEST_DIR, { recursive: true, force: true });
}
});
describe('Subtask Reset on Rate Limit', () => {
it('should reset in_progress subtask to pending when rate limit occurs', () => {
// Setup: Create plan with in_progress subtask
const plan = createMixedStatePlan();
writeFileSync(PLAN_PATH, JSON.stringify(plan, null, 2));
// Verify initial state
const initialPlan = readPlan();
const inProgressSubtask = findSubtask(initialPlan, 'subtask-1-2')!;
expect(inProgressSubtask).toBeTruthy();
expect(inProgressSubtask.status).toBe('in_progress');
expect(inProgressSubtask.started_at).toBeTruthy();
// Simulate rate limit reset logic (from resetStuckSubtasks helper)
for (const phase of initialPlan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'in_progress' || subtask.status === 'failed') {
subtask.status = 'pending';
subtask.started_at = null;
subtask.completed_at = null;
}
}
}
// Save updated plan
writeFileSync(PLAN_PATH, JSON.stringify(initialPlan, null, 2));
// Verify: subtask reset to pending
const updatedPlan = readPlan();
const resetSubtask = findSubtask(updatedPlan, 'subtask-1-2')!;
expect(resetSubtask).toBeTruthy();
expect(resetSubtask.status).toBe('pending');
expect(resetSubtask.started_at).toBeNull();
expect(resetSubtask.completed_at).toBeNull();
});
it('should reset failed subtask to pending when recovery triggered', () => {
const plan = createMixedStatePlan();
writeFileSync(PLAN_PATH, JSON.stringify(plan, null, 2));
// Verify initial state
const initialPlan = readPlan();
const failedSubtask = findSubtask(initialPlan, 'subtask-1-4')!;
expect(failedSubtask).toBeTruthy();
expect(failedSubtask.status).toBe('failed');
// Simulate reset
for (const phase of initialPlan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'in_progress' || subtask.status === 'failed') {
subtask.status = 'pending';
subtask.started_at = null;
subtask.completed_at = null;
}
}
}
writeFileSync(PLAN_PATH, JSON.stringify(initialPlan, null, 2));
// Verify: failed subtask reset
const updatedPlan = readPlan();
const resetSubtask = findSubtask(updatedPlan, 'subtask-1-4')!;
expect(resetSubtask).toBeTruthy();
expect(resetSubtask.status).toBe('pending');
expect(resetSubtask.started_at).toBeNull();
});
it('should preserve completed subtasks during reset', () => {
const plan = createMixedStatePlan();
writeFileSync(PLAN_PATH, JSON.stringify(plan, null, 2));
// Get completed subtask before reset
const initialPlan = readPlan();
const completedSubtask = findSubtask(initialPlan, 'subtask-1-1')!;
expect(completedSubtask).toBeTruthy();
expect(completedSubtask.status).toBe('completed');
const originalCompletedAt = completedSubtask.completed_at;
// Simulate reset (should skip completed subtasks)
for (const phase of initialPlan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'in_progress' || subtask.status === 'failed') {
subtask.status = 'pending';
subtask.started_at = null;
subtask.completed_at = null;
}
}
}
writeFileSync(PLAN_PATH, JSON.stringify(initialPlan, null, 2));
// Verify: completed subtask unchanged
const updatedPlan = readPlan();
const preservedSubtask = findSubtask(updatedPlan, 'subtask-1-1')!;
expect(preservedSubtask).toBeTruthy();
expect(preservedSubtask.status).toBe('completed');
expect(preservedSubtask.completed_at).toBe(originalCompletedAt);
});
it('should reset all stuck subtasks across multiple phases', () => {
const plan = createMixedStatePlan();
writeFileSync(PLAN_PATH, JSON.stringify(plan, null, 2));
const initialPlan = readPlan();
// Count stuck subtasks before reset
let stuckCount = 0;
for (const phase of initialPlan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'in_progress' || subtask.status === 'failed') {
stuckCount++;
}
}
}
expect(stuckCount).toBe(2); // subtask-1-2 (in_progress) + subtask-1-4 (failed)
// Simulate reset
for (const phase of initialPlan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'in_progress' || subtask.status === 'failed') {
subtask.status = 'pending';
subtask.started_at = null;
subtask.completed_at = null;
}
}
}
writeFileSync(PLAN_PATH, JSON.stringify(initialPlan, null, 2));
// Verify: all stuck subtasks reset
const updatedPlan = readPlan();
let resetCount = 0;
for (const phase of updatedPlan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.id === 'subtask-1-2' || subtask.id === 'subtask-1-4') {
expect(subtask.status).toBe('pending');
expect(subtask.started_at).toBeNull();
resetCount++;
}
}
}
expect(resetCount).toBe(2);
});
});
describe('Task Resume After Recovery', () => {
it('should allow task to resume with reset subtasks', () => {
const plan = createMixedStatePlan();
writeFileSync(PLAN_PATH, JSON.stringify(plan, null, 2));
// Reset stuck subtasks
const updatedPlan = readPlan();
for (const phase of updatedPlan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'in_progress' || subtask.status === 'failed') {
subtask.status = 'pending';
subtask.started_at = null;
subtask.completed_at = null;
}
}
}
writeFileSync(PLAN_PATH, JSON.stringify(updatedPlan, null, 2));
// Simulate get_next_subtask logic
const resumedPlan = readPlan();
let nextSubtask: Subtask | null = null;
for (const phase of resumedPlan.phases) {
const pending = phase.subtasks.find((s: Subtask) => s.status === 'pending');
if (pending) {
nextSubtask = pending;
break;
}
}
// Verify: task can find next subtask to resume
expect(nextSubtask).toBeTruthy();
expect(nextSubtask!.id).toBe('subtask-1-2'); // Previously stuck, now pending
expect(nextSubtask!.status).toBe('pending');
});
it('should maintain correct subtask order after reset', () => {
const plan = createMixedStatePlan();
writeFileSync(PLAN_PATH, JSON.stringify(plan, null, 2));
// Reset and collect pending subtasks
const updatedPlan = readPlan();
for (const phase of updatedPlan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'in_progress' || subtask.status === 'failed') {
subtask.status = 'pending';
subtask.started_at = null;
subtask.completed_at = null;
}
}
}
writeFileSync(PLAN_PATH, JSON.stringify(updatedPlan, null, 2));
const resumedPlan = readPlan();
const allPendingSubtasks: string[] = [];
for (const phase of resumedPlan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'pending') {
allPendingSubtasks.push(subtask.id);
}
}
}
// Verify: pending subtasks in correct order
expect(allPendingSubtasks).toEqual([
'subtask-1-2', // Reset from in_progress
'subtask-1-3', // Was already pending
'subtask-1-4', // Reset from failed
'subtask-2-1' // Was already pending
]);
});
});
describe('Atomic File Operations', () => {
it('should maintain valid JSON structure after reset', () => {
const plan = createMixedStatePlan();
writeFileSync(PLAN_PATH, JSON.stringify(plan, null, 2));
// Simulate reset
const updatedPlan = readPlan();
for (const phase of updatedPlan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'in_progress' || subtask.status === 'failed') {
subtask.status = 'pending';
subtask.started_at = null;
subtask.completed_at = null;
}
}
}
// Write atomically (simulate atomic write)
const tempPath = PLAN_PATH + '.tmp';
writeFileSync(tempPath, JSON.stringify(updatedPlan, null, 2));
rmSync(PLAN_PATH);
writeFileSync(PLAN_PATH, JSON.stringify(updatedPlan, null, 2));
// Verify: plan is valid JSON
expect(() => {
const verifyPlan = readPlan();
expect(verifyPlan.phases).toBeDefined();
expect(Array.isArray(verifyPlan.phases)).toBe(true);
}).not.toThrow();
});
it('should handle missing plan file gracefully', () => {
// Don't create plan file
const missingPlanPath = path.join(TEST_SPEC_DIR, 'nonexistent_plan.json');
// Simulate graceful handling
let errorOccurred = false;
try {
readFileSync(missingPlanPath, 'utf-8');
} catch (error) {
errorOccurred = true;
expect(error).toBeDefined();
}
expect(errorOccurred).toBe(true);
});
});
describe('Reset Count Tracking', () => {
it('should count number of subtasks reset', () => {
const plan = createMixedStatePlan();
writeFileSync(PLAN_PATH, JSON.stringify(plan, null, 2));
const updatedPlan = readPlan();
let resetCount = 0;
for (const phase of updatedPlan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'in_progress' || subtask.status === 'failed') {
subtask.status = 'pending';
subtask.started_at = null;
subtask.completed_at = null;
resetCount++;
}
}
}
expect(resetCount).toBe(2); // subtask-1-2 and subtask-1-4
});
it('should return zero when no subtasks need reset', () => {
const plan = createMixedStatePlan();
// Mark all subtasks as either completed or pending
for (const phase of plan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'in_progress' || subtask.status === 'failed') {
subtask.status = 'completed';
}
}
}
writeFileSync(PLAN_PATH, JSON.stringify(plan, null, 2));
const updatedPlan = readPlan();
let resetCount = 0;
for (const phase of updatedPlan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'in_progress' || subtask.status === 'failed') {
resetCount++;
}
}
}
expect(resetCount).toBe(0);
});
});
describe('Edge Cases', () => {
it('should handle plan with no phases', () => {
const emptyPlan = {
feature: 'Empty Plan',
phases: [],
status: 'pending'
};
writeFileSync(PLAN_PATH, JSON.stringify(emptyPlan, null, 2));
const plan = readPlan();
let resetCount = 0;
for (const phase of plan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'in_progress' || subtask.status === 'failed') {
resetCount++;
}
}
}
expect(resetCount).toBe(0);
expect(plan.phases).toEqual([]);
});
it('should handle phase with no subtasks', () => {
const planWithEmptyPhase = {
feature: 'Plan with Empty Phase',
phases: [
{
id: 'phase-1',
name: 'Empty Phase',
subtasks: []
}
],
status: 'pending'
};
writeFileSync(PLAN_PATH, JSON.stringify(planWithEmptyPhase, null, 2));
const plan = readPlan();
let resetCount = 0;
for (const phase of plan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'in_progress' || subtask.status === 'failed') {
resetCount++;
}
}
}
expect(resetCount).toBe(0);
});
it('should preserve all subtask fields except status and timestamps', () => {
const plan = createMixedStatePlan();
writeFileSync(PLAN_PATH, JSON.stringify(plan, null, 2));
const initialPlan = readPlan();
const originalSubtask = findSubtask(initialPlan, 'subtask-1-2')!;
expect(originalSubtask).toBeTruthy();
const originalDescription = originalSubtask.description;
const originalService = originalSubtask.service;
// Reset
for (const phase of initialPlan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'in_progress' || subtask.status === 'failed') {
subtask.status = 'pending';
subtask.started_at = null;
subtask.completed_at = null;
}
}
}
writeFileSync(PLAN_PATH, JSON.stringify(initialPlan, null, 2));
const updatedPlan = readPlan();
const resetSubtask = findSubtask(updatedPlan, 'subtask-1-2')!;
expect(resetSubtask).toBeTruthy();
expect(resetSubtask.description).toBe(originalDescription);
expect(resetSubtask.service).toBe(originalService);
expect(resetSubtask.id).toBe('subtask-1-2');
});
});
});
describe('Integration with Recovery Flow', () => {
beforeEach(() => {
setupTestDirs();
});
afterEach(() => {
if (TEST_DIR) {
rmSync(TEST_DIR, { recursive: true, force: true });
}
});
it('should complete full recovery cycle: error → reset → resume', () => {
// Step 1: Task running with in_progress subtask
const plan = createMixedStatePlan();
writeFileSync(PLAN_PATH, JSON.stringify(plan, null, 2));
const initialPlan = readPlan();
expect(findSubtask(initialPlan, 'subtask-1-2')!.status).toBe('in_progress');
// Step 2: Rate limit error occurs → subtask reset
for (const phase of initialPlan.phases) {
for (const subtask of phase.subtasks) {
if (subtask.status === 'in_progress' || subtask.status === 'failed') {
subtask.status = 'pending';
subtask.started_at = null;
subtask.completed_at = null;
}
}
}
writeFileSync(PLAN_PATH, JSON.stringify(initialPlan, null, 2));
const resetPlan = readPlan();
expect(findSubtask(resetPlan, 'subtask-1-2')!.status).toBe('pending');
// Step 3: Task resumes → finds next pending subtask
let nextSubtask: Subtask | null = null;
for (const phase of resetPlan.phases) {
const pending = phase.subtasks.find((s: Subtask) => s.status === 'pending');
if (pending) {
nextSubtask = pending;
break;
}
}
expect(nextSubtask).toBeTruthy();
expect(nextSubtask!.id).toBe('subtask-1-2');
// Step 4: Subtask execution starts → status updates to in_progress
nextSubtask!.status = 'in_progress';
nextSubtask!.started_at = new Date().toISOString();
writeFileSync(PLAN_PATH, JSON.stringify(resetPlan, null, 2));
const resumedPlan = readPlan();
expect(findSubtask(resumedPlan, 'subtask-1-2')!.status).toBe('in_progress');
});
});
@@ -607,20 +607,6 @@ Please authenticate and try again.`;
expect(result.isAuthFailure).toBe(true);
});
it('should NOT false-positive on AI discussion text mentioning auth topics', async () => {
const { detectAuthFailure } = await import('../rate-limit-detector');
// This simulates an AI PR review that discusses authentication — it should NOT trigger auth detection
const aiReviewText = `The PR adds authentication error detection to prevent infinite retry loops. ` +
`When the API returns a message like "does not have access to Claude", the system now detects it. ` +
`However, this pattern could also match if a user discusses authentication in a PR review. ` +
`We should ensure the detection is specific enough to avoid false positives. ` +
`Please login again is another phrase that could appear in normal discussion.`;
const result = detectAuthFailure(aiReviewText);
expect(result.isAuthFailure).toBe(false);
});
});
});
+5 -112
View File
@@ -1,6 +1,6 @@
import { EventEmitter } from 'events';
import path from 'path';
import { existsSync, readdirSync } from 'fs';
import { existsSync } from 'fs';
import { AgentState } from './agent-state';
import { AgentEvents } from './agent-events';
import { AgentProcessManager } from './agent-process';
@@ -14,9 +14,6 @@ import {
RoadmapConfig
} from './types';
import type { IdeationConfig } from '../../shared/types';
import { resetStuckSubtasks } from '../ipc-handlers/task/plan-file-utils';
import { AUTO_BUILD_PATHS, getSpecsDir, sanitizeThinkingLevel } from '../../shared/constants';
import { projectStore } from '../project-store';
/**
* Main AgentManager - orchestrates agent process lifecycle
@@ -106,78 +103,6 @@ export class AgentManager extends EventEmitter {
this.processManager.configure(pythonPath, autoBuildSourcePath);
}
/**
* Run startup recovery scan to detect and reset stuck subtasks on app launch
* Scans all projects for implementation_plan.json files and resets any stuck subtasks
*/
async runStartupRecoveryScan(): Promise<void> {
console.log('[AgentManager] Running startup recovery scan for stuck subtasks...');
try {
// Get all projects from the store
const projects = projectStore.getProjects();
if (projects.length === 0) {
console.log('[AgentManager] No projects found - skipping startup recovery scan');
return;
}
let totalScanned = 0;
let totalReset = 0;
// Scan each project for stuck subtasks
for (const project of projects) {
if (!project.autoBuildPath) {
continue; // Skip projects that haven't been initialized yet
}
const specsDir = path.join(project.path, getSpecsDir(project.autoBuildPath));
// Check if specs directory exists
if (!existsSync(specsDir)) {
continue;
}
// Read all spec directories
try {
const specDirs = readdirSync(specsDir, { withFileTypes: true })
.filter(dirent => dirent.isDirectory())
.map(dirent => dirent.name);
// Process each spec directory
for (const specDirName of specDirs) {
const planPath = path.join(specsDir, specDirName, AUTO_BUILD_PATHS.IMPLEMENTATION_PLAN);
// Check if implementation_plan.json exists
if (!existsSync(planPath)) {
continue;
}
totalScanned++;
// Reset stuck subtasks (pass project.id to invalidate tasks cache)
const { success, resetCount } = await resetStuckSubtasks(planPath, project.id);
if (success && resetCount > 0) {
totalReset += resetCount;
console.log(`[AgentManager] Startup recovery: Reset ${resetCount} stuck subtask(s) in ${specDirName}`);
}
}
} catch (err) {
console.warn(`[AgentManager] Failed to scan specs directory for project ${project.name}:`, err);
}
}
if (totalReset > 0) {
console.log(`[AgentManager] Startup recovery complete: Reset ${totalReset} stuck subtask(s) across ${totalScanned} task(s)`);
} else {
console.log(`[AgentManager] Startup recovery complete: No stuck subtasks found (scanned ${totalScanned} task(s))`);
}
} catch (err) {
console.error('[AgentManager] Startup recovery scan failed:', err);
}
}
/**
* Register a task with the unified OperationRegistry for proactive swap support.
* Extracted helper to avoid code duplication between spec creation and task execution.
@@ -266,20 +191,6 @@ export class AgentManager extends EventEmitter {
return;
}
// Reset stuck subtasks if restarting an existing spec creation task
if (specDir) {
const planPath = path.join(specDir, AUTO_BUILD_PATHS.IMPLEMENTATION_PLAN);
console.log('[AgentManager] Resetting stuck subtasks before spec creation restart:', planPath);
try {
const { success, resetCount } = await resetStuckSubtasks(planPath);
if (success && resetCount > 0) {
console.log(`[AgentManager] Successfully reset ${resetCount} stuck subtask(s) before spec creation`);
}
} catch (err) {
console.warn('[AgentManager] Failed to reset stuck subtasks before spec creation:', err);
}
}
// Get combined environment variables
const combinedEnv = this.processManager.getCombinedEnv(projectPath);
@@ -304,16 +215,15 @@ export class AgentManager extends EventEmitter {
// Pass model and thinking level configuration
// For auto profile, use phase-specific config; otherwise use single model/thinking
// Validate thinking levels to prevent legacy values (e.g. 'ultrathink') from reaching the backend
if (metadata?.isAutoProfile && metadata.phaseModels && metadata.phaseThinking) {
// Pass the spec phase model and thinking level to spec_runner
args.push('--model', metadata.phaseModels.spec);
args.push('--thinking-level', sanitizeThinkingLevel(metadata.phaseThinking.spec));
args.push('--thinking-level', metadata.phaseThinking.spec);
} else if (metadata?.model) {
// Non-auto profile: use single model and thinking level
args.push('--model', metadata.model);
if (metadata.thinkingLevel) {
args.push('--thinking-level', sanitizeThinkingLevel(metadata.thinkingLevel));
args.push('--thinking-level', metadata.thinkingLevel);
}
}
@@ -615,26 +525,9 @@ export class AgentManager extends EventEmitter {
console.log('[AgentManager] Killing current process for task:', taskId);
this.killTask(taskId);
// Wait for cleanup, then reset stuck subtasks and restart
// Wait for cleanup, then restart
console.log('[AgentManager] Scheduling task restart in 500ms');
setTimeout(async () => {
// Reset stuck subtasks before restart to avoid picking up stale in-progress states
if (context.specId || context.specDir) {
const planPath = context.specDir
? path.join(context.specDir, AUTO_BUILD_PATHS.IMPLEMENTATION_PLAN)
: path.join(context.projectPath, AUTO_BUILD_PATHS.SPECS_DIR, context.specId, AUTO_BUILD_PATHS.IMPLEMENTATION_PLAN);
console.log('[AgentManager] Resetting stuck subtasks before restart:', planPath);
try {
const { success, resetCount } = await resetStuckSubtasks(planPath);
if (success && resetCount > 0) {
console.log(`[AgentManager] Successfully reset ${resetCount} stuck subtask(s)`);
}
} catch (err) {
console.warn('[AgentManager] Failed to reset stuck subtasks:', err);
}
}
setTimeout(() => {
console.log('[AgentManager] Restarting task now:', taskId);
if (context.isSpecCreation) {
console.log('[AgentManager] Restarting as spec creation');
+10 -12
View File
@@ -818,23 +818,21 @@ export class AgentProcessManager {
if (code !== 0) {
console.log('[AgentProcess] Process failed with code:', code, 'for task:', taskId);
const wasHandled = this.handleProcessFailure(taskId, allOutput, processType);
if (wasHandled) {
this.emitter.emit('exit', taskId, code, processType, projectId);
return;
}
}
// Only emit 'failed' when failure was NOT handled by auto-swap
if (currentPhase !== 'complete' && currentPhase !== 'failed') {
this.emitter.emit('execution-progress', taskId, {
phase: 'failed',
phaseProgress: 0,
overallProgress: this.events.calculateOverallProgress(currentPhase, phaseProgress),
message: `Process exited with code ${code}`,
sequenceNumber: ++sequenceNumber,
completedPhases: [...completedPhases]
}, projectId);
}
if (code !== 0 && currentPhase !== 'complete' && currentPhase !== 'failed') {
this.emitter.emit('execution-progress', taskId, {
phase: 'failed',
phaseProgress: 0,
overallProgress: this.events.calculateOverallProgress(currentPhase, phaseProgress),
message: `Process exited with code ${code}`,
sequenceNumber: ++sequenceNumber,
completedPhases: [...completedPhases]
}, projectId);
}
this.emitter.emit('exit', taskId, code, processType, projectId);
+10 -35
View File
@@ -1,6 +1,6 @@
import { spawn } from 'child_process';
import path from 'path';
import { existsSync, mkdirSync, unlinkSync, promises as fsPromises } from 'fs';
import { existsSync, writeFileSync, mkdirSync, unlinkSync, promises as fsPromises } from 'fs';
import { EventEmitter } from 'events';
import { AgentState } from './agent-state';
import { AgentEvents } from './agent-events';
@@ -19,8 +19,6 @@ import { transformIdeaFromSnakeCase, transformSessionFromSnakeCase } from '../ip
import { transformRoadmapFromSnakeCase } from '../ipc-handlers/roadmap/transformers';
import type { RawIdea } from '../ipc-handlers/ideation/types';
import { getPathDelimiter } from '../platform';
import { debounce } from '../utils/debounce';
import { writeFileWithRetry } from '../utils/atomic-file';
/** Maximum length for status messages displayed in progress UI */
const STATUS_MESSAGE_MAX_LENGTH = 200;
@@ -45,15 +43,6 @@ export class AgentQueueManager {
private events: AgentEvents;
private processManager: AgentProcessManager;
private emitter: EventEmitter;
private debouncedPersistRoadmapProgress: (
projectPath: string,
phase: string,
progress: number,
message: string,
startedAt: string,
isRunning: boolean
) => void;
private cancelPersistRoadmapProgress: () => void;
constructor(
state: AgentState,
@@ -65,17 +54,6 @@ export class AgentQueueManager {
this.events = events;
this.processManager = processManager;
this.emitter = emitter;
// Create debounced version of persistRoadmapProgress (300ms, leading + trailing)
// This limits file writes to ~3-4 per second while ensuring immediate first write
// and final state persistence after burst of updates
const { fn: debouncedFn, cancel } = debounce(
this.persistRoadmapProgress.bind(this),
300,
{ leading: true, trailing: true }
);
this.debouncedPersistRoadmapProgress = debouncedFn;
this.cancelPersistRoadmapProgress = cancel;
}
/**
@@ -112,14 +90,14 @@ export class AgentQueueManager {
* @param startedAt - When generation started (ISO string)
* @param isRunning - Whether generation is actively running
*/
private async persistRoadmapProgress(
private persistRoadmapProgress(
projectPath: string,
phase: string,
progress: number,
message: string,
startedAt: string,
isRunning: boolean
): Promise<void> {
): void {
try {
const roadmapDir = path.join(projectPath, AUTO_BUILD_PATHS.ROADMAP_DIR);
const progressPath = path.join(roadmapDir, AUTO_BUILD_PATHS.GENERATION_PROGRESS);
@@ -138,7 +116,7 @@ export class AgentQueueManager {
is_running: isRunning
};
await writeFileWithRetry(progressPath, JSON.stringify(progressData, null, 2), { encoding: 'utf-8' });
writeFileSync(progressPath, JSON.stringify(progressData, null, 2));
debugLog('[Agent Queue] Persisted roadmap progress:', { phase, progress });
} catch (err) {
debugError('[Agent Queue] Failed to persist roadmap progress:', err);
@@ -152,9 +130,6 @@ export class AgentQueueManager {
* @param projectPath - The project directory path
*/
private clearRoadmapProgress(projectPath: string): void {
// Cancel any pending debounced write to prevent re-creating the file after deletion
this.cancelPersistRoadmapProgress();
try {
const progressPath = path.join(
projectPath,
@@ -764,8 +739,8 @@ export class AgentQueueManager {
// Track startedAt timestamp for progress persistence
const roadmapStartedAt = new Date().toISOString();
// Persist initial progress state (debounced - will execute immediately due to leading: true)
this.debouncedPersistRoadmapProgress(
// Persist initial progress state
this.persistRoadmapProgress(
projectPath,
progressPhase,
progressPercent,
@@ -802,8 +777,8 @@ export class AgentQueueManager {
// Get status message for display
const statusMessage = formatStatusMessage(log);
// Persist progress to disk for recovery after restart (debounced to limit writes)
this.debouncedPersistRoadmapProgress(
// Persist progress to disk for recovery after restart
this.persistRoadmapProgress(
projectPath,
progressPhase,
progressPercent,
@@ -830,8 +805,8 @@ export class AgentQueueManager {
const statusMessage = formatStatusMessage(log);
// Persist progress to disk (debounced - also on stderr to show activity)
this.debouncedPersistRoadmapProgress(
// Persist progress to disk (also on stderr to show activity)
this.persistRoadmapProgress(
projectPath,
progressPhase,
progressPercent,
+11 -11
View File
@@ -41,7 +41,7 @@ export interface AgentManagerEvents {
export interface RoadmapConfig {
model?: string; // Model shorthand (opus, sonnet, haiku)
thinkingLevel?: string; // Thinking level (low, medium, high)
thinkingLevel?: string; // Thinking level (none, low, medium, high, ultrathink)
}
export interface TaskExecutionOptions {
@@ -57,20 +57,20 @@ export interface SpecCreationMetadata {
// Auto profile - phase-based model and thinking configuration
isAutoProfile?: boolean;
phaseModels?: {
spec: 'haiku' | 'sonnet' | 'opus' | 'opus-1m' | 'opus-4.5';
planning: 'haiku' | 'sonnet' | 'opus' | 'opus-1m' | 'opus-4.5';
coding: 'haiku' | 'sonnet' | 'opus' | 'opus-1m' | 'opus-4.5';
qa: 'haiku' | 'sonnet' | 'opus' | 'opus-1m' | 'opus-4.5';
spec: 'haiku' | 'sonnet' | 'opus';
planning: 'haiku' | 'sonnet' | 'opus';
coding: 'haiku' | 'sonnet' | 'opus';
qa: 'haiku' | 'sonnet' | 'opus';
};
phaseThinking?: {
spec: 'low' | 'medium' | 'high';
planning: 'low' | 'medium' | 'high';
coding: 'low' | 'medium' | 'high';
qa: 'low' | 'medium' | 'high';
spec: 'none' | 'low' | 'medium' | 'high' | 'ultrathink';
planning: 'none' | 'low' | 'medium' | 'high' | 'ultrathink';
coding: 'none' | 'low' | 'medium' | 'high' | 'ultrathink';
qa: 'none' | 'low' | 'medium' | 'high' | 'ultrathink';
};
// Non-auto profile - single model and thinking level
model?: 'haiku' | 'sonnet' | 'opus' | 'opus-1m' | 'opus-4.5';
thinkingLevel?: 'low' | 'medium' | 'high';
model?: 'haiku' | 'sonnet' | 'opus';
thinkingLevel?: 'none' | 'low' | 'medium' | 'high' | 'ultrathink';
// Workspace mode - whether to use worktree isolation
useWorktree?: boolean; // If false, use --direct mode (no worktree isolation)
useLocalBranch?: boolean; // If true, use local branch directly instead of preferring origin/branch

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