1c6c1952e8
Regressions fixed (aa916de simplification):
- firmware/platformio.ini: restore esp32s3_waveshare (pioarduino platform,
lib_deps: ArduinoJson/ESP32_Display_Panel/ESP32-audioI2S/IO_Expander,
BOARD_HAS_PSRAM, I2S pins), restore esp32s3_qemu (extends waveshare +
QEMU_BUILD), fix default_envs=esp32s3_waveshare, keep build_dir=/tmp/kl_pio_build
- .github/workflows/ci.yml: restore firmware-native (112 Unity tests),
firmware-build (esp32s3_waveshare artifact), firmware-sim (Wokwi gated),
hardware-export (KiCad ERC + SVG/PDF/netlist + KiBot + compliance)
- .gitignore: add .kibot-venv/ and .pio-venv/ (prevent committing venvs)
Dataset (HuggingFace clemsail/kill-life-embedded-qa v2):
- generate_hf_dataset.py: rag_query timeout 30s->120s (LLM takes ~45s),
rag_search timeout 15s->30s; resolves intermittent server-busy failures
- 30 entries (10+10+5+5) -- 100% coverage vs 21/40 previously
Firmware tests (112/112):
- 4 suites: test_basic (39), test_modules (32), test_radio_state (26),
test_wifi_state (15); test_logic.cpp now a stub (content moved to test_basic)
Hardware:
- esp32_minimal.kicad_pcb, esp32s3_enclosure.FCStd/.step, gen_pcb.py,
gen_enclosure.py, REGISTRY.md, ERC reports for all design blocks
MCP tools:
- apify_mcp.py: +5 Kill_LIFE tools (fetch_espressif_docs, fetch_kicad_library_info,
fetch_platformio_registry, ingest_to_rag, get_runtime_info)
- mcp_runtime_status.py: fix classify_overall -- accept_degraded respected for
failed checks, task annotations, optional_degraded logic cleaned up
- deploy/cad/docker-compose.yml: path mascarade->mascarade-main
Specs & docs:
- docs/plans/TODO_2026-03-26.md, TODO_2026-03-27.md
- ai-agentic-embedded-base/specs: arch, tasks, intake, spec updates
- docs/playbooks/kicad_happy_hw_bom_forge.md
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
257 lines
8.4 KiB
Python
Executable File
257 lines
8.4 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Local MCP server for GitHub workflow_dispatch operations."""
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from __future__ import annotations
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import asyncio
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import os
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import sys
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from pathlib import Path
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from typing import Any
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from mcp_stdio import ( # type: ignore
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PROTOCOL_VERSION,
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error_tool_result,
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make_error,
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make_response,
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ok_tool_result,
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read_message,
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write_message,
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)
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ROOT = Path(__file__).resolve().parents[1]
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MASCARADE_DIR = Path(os.environ.get("MASCARADE_DIR", ROOT.parent / "mascarade")).resolve()
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MASCARADE_CORE_DIR = MASCARADE_DIR / "core"
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if str(MASCARADE_CORE_DIR) not in sys.path:
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sys.path.insert(0, str(MASCARADE_CORE_DIR))
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GITHUB_DISPATCH_IMPORT_ERROR: str | None = None
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try:
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from mascarade.integrations.github_dispatch import ( # noqa: E402
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DEFAULT_GITHUB_REPO,
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GitHubDispatchAuthError,
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GitHubDispatchClient,
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GitHubDispatchError,
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list_allowlisted_workflows,
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)
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except ModuleNotFoundError as exc: # pragma: no cover - exercised through smoke flow
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GITHUB_DISPATCH_IMPORT_ERROR = str(exc)
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DEFAULT_GITHUB_REPO = os.getenv("GITHUB_DISPATCH_REPO", "electron-rare/Kill_LIFE")
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class GitHubDispatchError(RuntimeError):
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pass
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class GitHubDispatchAuthError(GitHubDispatchError):
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pass
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class GitHubDispatchClient:
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async def dispatch_workflow(self, workflow_file: str, ref: str | None = None, inputs: dict[str, Any] | None = None) -> dict[str, Any]:
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token = os.getenv("KILL_LIFE_GITHUB_TOKEN") or os.getenv("GITHUB_TOKEN")
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if not token:
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raise GitHubDispatchAuthError(
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"GitHub token not configured: set KILL_LIFE_GITHUB_TOKEN or GITHUB_TOKEN"
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)
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raise GitHubDispatchError(
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f"Mascarade github_dispatch integration unavailable: {GITHUB_DISPATCH_IMPORT_ERROR}"
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)
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async def get_dispatch_status(self, dispatch_id: str) -> dict[str, Any]:
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raise GitHubDispatchError(
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f"Mascarade github_dispatch integration unavailable: {GITHUB_DISPATCH_IMPORT_ERROR}"
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)
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async def close(self) -> None:
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return None
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def list_allowlisted_workflows() -> list[str]:
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workflows_dir = ROOT / ".github" / "workflows"
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if not workflows_dir.is_dir():
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return ["repo_state.yml"]
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return sorted(path.name for path in workflows_dir.glob("*.yml"))
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TOOLS = [
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{
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"name": "list_allowlisted_workflows",
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"description": "List the GitHub Actions workflows allowed for dispatch in this workspace.",
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"inputSchema": {"type": "object", "properties": {}},
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},
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{
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"name": "dispatch_workflow",
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"description": "Dispatch an allowlisted GitHub Actions workflow.",
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"inputSchema": {
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"type": "object",
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"properties": {
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"workflow_file": {
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"type": "string",
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"description": "Allowlisted workflow file to dispatch",
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},
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"ref": {"type": "string", "description": "Git ref to dispatch against"},
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"inputs": {
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"type": "object",
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"description": "Workflow dispatch inputs",
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},
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},
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"required": ["workflow_file"],
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},
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},
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{
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"name": "get_dispatch_status",
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"description": "Resolve the structured status of a previously dispatched workflow.",
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"inputSchema": {
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"type": "object",
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"properties": {
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"dispatch_id": {
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"type": "string",
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"description": "Dispatch identifier returned by dispatch_workflow",
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}
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},
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"required": ["dispatch_id"],
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},
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},
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]
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async def tool_list_allowlisted_workflows(_: dict[str, Any]) -> dict[str, Any]:
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workflows = list_allowlisted_workflows()
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payload = {"ok": True, "repo": DEFAULT_GITHUB_REPO, "workflows": workflows}
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return ok_tool_result(
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f"{len(workflows)} allowlisted GitHub workflow(s)",
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payload,
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)
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async def tool_dispatch_workflow(arguments: dict[str, Any]) -> dict[str, Any]:
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workflow_file = str(arguments.get("workflow_file", "")).strip()
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ref = str(arguments.get("ref", "")).strip() or None
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raw_inputs = arguments.get("inputs")
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inputs = raw_inputs if isinstance(raw_inputs, dict) else None
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if not workflow_file:
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return error_tool_result(
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"Missing required argument 'workflow_file'",
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{
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"ok": False,
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"error": {
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"code": "invalid_arguments",
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"message": "workflow_file is required",
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},
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},
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)
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client = GitHubDispatchClient()
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try:
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payload = await client.dispatch_workflow(workflow_file, ref=ref, inputs=inputs)
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return ok_tool_result(
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f"Accepted GitHub dispatch for {payload['workflow_file']}",
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{"ok": True, **payload},
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)
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except GitHubDispatchAuthError as exc:
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return error_tool_result(
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str(exc),
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{"ok": False, "error": {"code": "missing_secret", "message": str(exc)}},
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)
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except GitHubDispatchError as exc:
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return error_tool_result(
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str(exc),
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{"ok": False, "error": {"code": "dispatch_failed", "message": str(exc)}},
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)
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finally:
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await client.close()
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async def tool_get_dispatch_status(arguments: dict[str, Any]) -> dict[str, Any]:
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dispatch_id = str(arguments.get("dispatch_id", "")).strip()
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if not dispatch_id:
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return error_tool_result(
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"Missing required argument 'dispatch_id'",
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{
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"ok": False,
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"error": {
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"code": "invalid_arguments",
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"message": "dispatch_id is required",
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},
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},
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)
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client = GitHubDispatchClient()
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try:
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payload = await client.get_dispatch_status(dispatch_id)
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return ok_tool_result(
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f"Dispatch {dispatch_id} status is {payload['status']}",
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{"ok": True, **payload},
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)
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except GitHubDispatchError as exc:
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return error_tool_result(
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str(exc),
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{"ok": False, "error": {"code": "status_failed", "message": str(exc)}},
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)
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finally:
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await client.close()
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def serve_mcp() -> int:
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while True:
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request = read_message()
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if request is None:
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return 0
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method = request.get("method")
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request_id = request.get("id")
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params = request.get("params") or {}
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if method == "initialize":
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write_message(
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make_response(
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request_id,
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{
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"protocolVersion": PROTOCOL_VERSION,
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"capabilities": {"tools": {"listChanged": False}},
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"serverInfo": {"name": "github-dispatch", "version": "1.0.0"},
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},
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)
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)
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continue
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if method == "notifications/initialized":
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continue
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if method == "ping":
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write_message(make_response(request_id, {}))
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continue
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if method == "tools/list":
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write_message(make_response(request_id, {"tools": TOOLS}))
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continue
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if method == "tools/call":
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tool_name = params.get("name")
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arguments = params.get("arguments") or {}
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if tool_name == "list_allowlisted_workflows":
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write_message(
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make_response(request_id, asyncio.run(tool_list_allowlisted_workflows(arguments)))
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)
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continue
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if tool_name == "dispatch_workflow":
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write_message(
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make_response(request_id, asyncio.run(tool_dispatch_workflow(arguments)))
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)
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continue
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if tool_name == "get_dispatch_status":
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write_message(
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make_response(request_id, asyncio.run(tool_get_dispatch_status(arguments)))
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)
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continue
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write_message(make_error(request_id, -32602, f"Unknown tool: {tool_name}"))
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continue
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if request_id is not None:
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write_message(make_error(request_id, -32601, f"Method not found: {method}"))
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if __name__ == "__main__":
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raise SystemExit(serve_mcp())
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