Files
Kill_LIFE/tools/knowledge_base_mcp.py
T
kxkm 1c6c1952e8 fix+feat: restore CI/PIO regressions, 30-entry HF dataset, new tests & hardware
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>
2026-03-26 22:14:33 +01:00

354 lines
11 KiB
Python
Executable File

#!/usr/bin/env python3
"""Local MCP server for the configured Mascarade knowledge-base integration."""
from __future__ import annotations
import asyncio
import os
import sys
from pathlib import Path
from typing import Any
from mcp_stdio import ( # type: ignore
PROTOCOL_VERSION,
error_tool_result,
make_error,
make_response,
ok_tool_result,
read_message,
write_message,
)
ROOT = Path(__file__).resolve().parents[1]
MASCARADE_DIR = Path(os.environ.get("MASCARADE_DIR", ROOT.parent / "mascarade")).resolve()
MASCARADE_CORE_DIR = MASCARADE_DIR / "core"
if str(MASCARADE_CORE_DIR) not in sys.path:
sys.path.insert(0, str(MASCARADE_CORE_DIR))
KNOWLEDGE_BASE_IMPORT_ERROR: str | None = None
try:
from mascarade.integrations.knowledge_base import ( # noqa: E402
KnowledgeBaseClient,
knowledge_base_auth_configured,
knowledge_base_provider_label,
knowledge_base_status_detail,
normalized_knowledge_base_provider,
)
except ModuleNotFoundError as exc: # pragma: no cover - exercised through smoke flow
KNOWLEDGE_BASE_IMPORT_ERROR = str(exc)
def normalized_knowledge_base_provider() -> str:
return os.getenv("KNOWLEDGE_BASE_PROVIDER", "memos").strip().lower() or "memos"
def knowledge_base_provider_label() -> str:
return normalized_knowledge_base_provider()
def knowledge_base_auth_configured() -> bool:
return False
def knowledge_base_status_detail() -> str:
return (
"Mascarade knowledge-base integration unavailable: "
f"{KNOWLEDGE_BASE_IMPORT_ERROR}"
)
class KnowledgeBaseClient: # pragma: no cover - tool calls return before instantiation
provider = normalized_knowledge_base_provider()
label = knowledge_base_provider_label()
async def close(self) -> None:
return None
TOOLS = [
{
"name": "search_pages",
"description": "Search pages through the configured Mascarade knowledge-base integration.",
"inputSchema": {
"type": "object",
"properties": {
"query": {"type": "string", "description": "Free-text query"},
"limit": {
"type": "integer",
"description": "Maximum number of pages to return",
"default": 10,
},
},
"required": ["query"],
},
},
{
"name": "read_page",
"description": "Read a knowledge-base page and return its plain-text content.",
"inputSchema": {
"type": "object",
"properties": {
"page_id": {"type": "string", "description": "Knowledge-base page identifier"}
},
"required": ["page_id"],
},
},
{
"name": "append_to_page",
"description": "Append content to an existing knowledge-base page.",
"inputSchema": {
"type": "object",
"properties": {
"page_id": {"type": "string", "description": "Knowledge-base page identifier"},
"content": {"type": "string", "description": "Paragraph content to append"},
},
"required": ["page_id", "content"],
},
},
{
"name": "create_page",
"description": "Create a page under a parent page using the configured knowledge-base integration.",
"inputSchema": {
"type": "object",
"properties": {
"parent_id": {"type": "string", "description": "Parent page identifier"},
"title": {"type": "string", "description": "Page title"},
"content": {
"type": "string",
"description": "Optional initial page content",
"default": "",
},
},
"required": ["parent_id", "title"],
},
},
]
def _missing_secret_payload() -> dict[str, Any]:
label = knowledge_base_provider_label()
return {
"ok": False,
"provider": normalized_knowledge_base_provider(),
"error": {
"code": "missing_secret",
"message": knowledge_base_status_detail(),
},
"provider_label": label,
}
def _integration_unavailable_payload() -> dict[str, Any]:
label = knowledge_base_provider_label()
detail = knowledge_base_status_detail()
return {
"ok": False,
"provider": normalized_knowledge_base_provider(),
"error": {
"code": "integration_unavailable",
"message": detail,
},
"provider_label": label,
}
async def _with_client(callback):
# Auth check takes priority: missing credentials is more actionable than import errors
if not knowledge_base_auth_configured():
return error_tool_result(
knowledge_base_status_detail(),
_missing_secret_payload(),
)
if KNOWLEDGE_BASE_IMPORT_ERROR is not None:
detail = knowledge_base_status_detail()
return error_tool_result(
detail,
_integration_unavailable_payload(),
)
client = KnowledgeBaseClient()
try:
return await callback(client)
finally:
await client.close()
async def tool_search_pages(arguments: dict[str, Any]) -> dict[str, Any]:
query = str(arguments.get("query", "")).strip()
limit = int(arguments.get("limit", 10) or 10)
limit = max(1, min(limit, 50))
if not query:
return error_tool_result(
"Missing required argument 'query'",
{"ok": False, "error": {"code": "invalid_arguments", "message": "query is required"}},
)
async def _run(client: KnowledgeBaseClient) -> dict[str, Any]:
results = await client.search(query, limit=limit)
payload = {
"ok": True,
"provider": client.provider,
"provider_label": client.label,
"query": query,
"results": results[:limit],
}
return ok_tool_result(
f"Found {len(payload['results'])} {client.label} page(s) for '{query}'",
payload,
)
return await _with_client(_run)
async def tool_read_page(arguments: dict[str, Any]) -> dict[str, Any]:
page_id = str(arguments.get("page_id", "")).strip()
if not page_id:
return error_tool_result(
"Missing required argument 'page_id'",
{
"ok": False,
"error": {"code": "invalid_arguments", "message": "page_id is required"},
},
)
async def _run(client: KnowledgeBaseClient) -> dict[str, Any]:
content = await client.read_page(page_id)
payload = {
"ok": True,
"provider": client.provider,
"provider_label": client.label,
"page_id": page_id,
"content": content,
}
return ok_tool_result(
f"Read {client.label} page {page_id}",
payload,
)
return await _with_client(_run)
async def tool_append_to_page(arguments: dict[str, Any]) -> dict[str, Any]:
page_id = str(arguments.get("page_id", "")).strip()
content = str(arguments.get("content", "")).strip()
if not page_id or not content:
return error_tool_result(
"Missing required arguments 'page_id' or 'content'",
{
"ok": False,
"error": {
"code": "invalid_arguments",
"message": "page_id and content are required",
},
},
)
async def _run(client: KnowledgeBaseClient) -> dict[str, Any]:
await client.append_to_page(page_id, content)
payload = {
"ok": True,
"provider": client.provider,
"provider_label": client.label,
"page_id": page_id,
"content_length": len(content),
}
return ok_tool_result(
f"Appended content to {client.label} page {page_id}",
payload,
)
return await _with_client(_run)
async def tool_create_page(arguments: dict[str, Any]) -> dict[str, Any]:
parent_id = str(arguments.get("parent_id", "")).strip()
title = str(arguments.get("title", "")).strip()
content = str(arguments.get("content", "") or "")
if not parent_id or not title:
return error_tool_result(
"Missing required arguments 'parent_id' or 'title'",
{
"ok": False,
"error": {
"code": "invalid_arguments",
"message": "parent_id and title are required",
},
},
)
async def _run(client: KnowledgeBaseClient) -> dict[str, Any]:
page_id = await client.create_page(parent_id, title, content)
payload = {
"ok": True,
"provider": client.provider,
"provider_label": client.label,
"page_id": page_id,
"parent_id": parent_id,
"title": title,
}
return ok_tool_result(
f"Created {client.label} page '{title}'",
payload,
)
return await _with_client(_run)
def serve_mcp() -> int:
while True:
request = read_message()
if request is None:
return 0
method = request.get("method")
request_id = request.get("id")
params = request.get("params") or {}
if method == "initialize":
write_message(
make_response(
request_id,
{
"protocolVersion": PROTOCOL_VERSION,
"capabilities": {"tools": {"listChanged": False}},
"serverInfo": {"name": "knowledge-base", "version": "1.0.0"},
},
)
)
continue
if method == "notifications/initialized":
continue
if method == "ping":
write_message(make_response(request_id, {}))
continue
if method == "tools/list":
write_message(make_response(request_id, {"tools": TOOLS}))
continue
if method == "tools/call":
tool_name = params.get("name")
arguments = params.get("arguments") or {}
if tool_name == "search_pages":
write_message(make_response(request_id, asyncio.run(tool_search_pages(arguments))))
continue
if tool_name == "read_page":
write_message(make_response(request_id, asyncio.run(tool_read_page(arguments))))
continue
if tool_name == "append_to_page":
write_message(make_response(request_id, asyncio.run(tool_append_to_page(arguments))))
continue
if tool_name == "create_page":
write_message(make_response(request_id, asyncio.run(tool_create_page(arguments))))
continue
write_message(make_error(request_id, -32602, f"Unknown tool: {tool_name}"))
continue
if request_id is not None:
write_message(make_error(request_id, -32601, f"Method not found: {method}"))
if __name__ == "__main__":
raise SystemExit(serve_mcp())