mirror of
https://github.com/pewdiepie-archdaemon/odysseus.git
synced 2026-06-16 01:35:36 -04:00
Kfir Sadeh
d8e7cc7053
* feat(diagnostics): add admin-gated real-time diagnostics logs terminal UI * feat(ui): resolve diagnostics logs feedback and optimize client-side caching * feat(ui): resolve diagnostics logs feedback
111 lines
4.3 KiB
Python
111 lines
4.3 KiB
Python
"""Diagnostics routes — /api/db/stats, /api/rag/stats, /api/test/youtube, /api/test-research."""
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import logging
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import os
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from typing import Dict, Any
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from fastapi import APIRouter, HTTPException, Form, Request
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from services.youtube.youtube_handler import extract_youtube_id, extract_transcript_async
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from core.constants import DEFAULT_HOST, DATA_DIR
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from core.middleware import require_admin
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logger = logging.getLogger(__name__)
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def setup_diagnostics_routes(
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rag_manager,
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rag_available: bool,
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research_handler,
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memory_vector=None,
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) -> APIRouter:
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router = APIRouter(tags=["diagnostics"])
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@router.get("/api/diagnostics/services")
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async def get_service_health(request: Request) -> Dict[str, Any]:
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"""Consolidated degraded-state report for ChromaDB, SearXNG, email,
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ntfy, and provider endpoints. Non-intrusive probes — safe to poll."""
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require_admin(request)
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from src.service_health import collect_service_health
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return await collect_service_health(rag_manager, memory_vector)
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@router.get("/api/diagnostics/logs")
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async def get_diagnostics_logs(request: Request, limit: int = 200) -> Dict[str, Any]:
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require_admin(request)
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limit = max(1, min(limit, 1000))
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try:
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log_file = os.path.join(DATA_DIR, "logs", "app.log")
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if not os.path.exists(log_file):
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return {"status": "success", "logs": []}
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# Safe tail read of the log file (max 5MB via rotation)
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with open(log_file, "r", encoding="utf-8", errors="ignore") as f:
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lines = f.readlines()
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tail_lines = lines[-limit:] if len(lines) > limit else lines
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tail_lines = [line.rstrip('\r\n') for line in tail_lines]
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return {
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"status": "success",
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"logs": tail_lines
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}
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except Exception as e:
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logger.error(f"Diagnostics logs retrieval error: {e}")
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raise HTTPException(500, f"Failed to retrieve logs: {str(e)}")
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@router.get("/api/db/stats")
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async def get_database_stats(request: Request) -> Dict[str, Any]:
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require_admin(request)
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try:
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from core.database import get_detailed_stats
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return get_detailed_stats()
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except Exception as e:
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logger.error(f"DB stats error: {e}")
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raise HTTPException(500, "Failed to retrieve database statistics")
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@router.get("/api/rag/stats")
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async def get_rag_stats(request: Request) -> Dict[str, Any]:
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require_admin(request)
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if rag_available and rag_manager:
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return rag_manager.get_stats()
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return {"error": "RAG system not available"}
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@router.get("/api/test/youtube")
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async def test_youtube(request: Request, url: str) -> Dict[str, Any]:
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require_admin(request)
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try:
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video_id = extract_youtube_id(url)
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if not video_id:
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return {"error": "Invalid YouTube URL"}
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data = await extract_transcript_async(url, video_id)
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return {
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"video_id": video_id,
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"transcript_success": data.get("success", False),
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"transcript_length": len(data.get("transcript", "")) if data.get("success") else 0,
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"transcript_preview": (data.get("transcript", "")[:500] + "...")
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if data.get("success") and len(data.get("transcript", "")) > 500
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else data.get("transcript", ""),
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"error": data.get("error") if not data.get("success") else None,
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}
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except Exception as e:
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return {"error": str(e)}
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@router.post("/api/test-research")
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async def test_research(request: Request, query: str = Form("What is machine learning?")) -> Dict[str, Any]:
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require_admin(request)
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try:
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endpoint = f"http://{DEFAULT_HOST}:8000/v1/chat/completions"
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model = "gpt-oss-120b"
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result = await research_handler.call_research_service(query, endpoint, model)
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return {
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"status": "success",
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"query": query,
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"result_preview": result[:200] + "..." if len(result) > 200 else result,
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"result_length": len(result),
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}
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except Exception as e:
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return {"status": "error", "error": str(e), "query": query}
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return router
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