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BooksLM (#76): - Panneau chat slide-in 450px, clic-droit répertoire → 🧠 BooksLM - Collecte récursive .md avec limites (200 fichiers, 200K chars) - Cache SHA-256, redaction secrets, priorité README/index - SSE streaming, badges sources cliquables, historique localStorage - Commandes palette: BooksLM ouvrir/nouvelle conversation Providers AI (4 nouveaux): - NVIDIA (integrate.api.nvidia.com) - QwenCloud (dashscope.aliyuncs.com) - Xiaomi (api.xiaomi.com) - Mistral (api.mistral.ai) - Tous OpenAI-compatible, auto-listing modèles Fix: dropdown config-select suit maintenant le thème (option bg/color) 27 tests BooksLM + 466 tests au total
148 lines
5.3 KiB
Python
148 lines
5.3 KiB
Python
"""BooksLM API routes — directory-scoped AI chat for Obsidian vaults."""
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import json
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import logging
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from pathlib import Path
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from fastapi import APIRouter, Depends, HTTPException
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from fastapi.responses import StreamingResponse
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from pydantic import BaseModel, Field
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from backend.auth.middleware import check_vault_access, require_auth
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from backend.bookslm import build_system_prompt, collect_directory_context
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from backend.indexer import get_vault_data
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logger = logging.getLogger("obsigate.bookslm_routes")
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router = APIRouter(prefix="/api/ai/bookslm", tags=["BooksLM"])
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# ── Request models ──
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class BooksLMContextRequest(BaseModel):
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vault: str = Field(description="Vault name")
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directory: str = Field(default="", description="Relative directory path within the vault")
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class BooksLMChatRequest(BaseModel):
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vault: str = Field(description="Vault name")
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directory: str = Field(default="", description="Relative directory path within the vault")
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message: str = Field(description="User message")
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conversation_history: list[dict[str, str]] = Field(
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default_factory=list,
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description="Previous conversation turns [{role, content}]",
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)
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# ── Endpoints ──
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@router.post("/context")
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async def api_bookslm_context(
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req: BooksLMContextRequest,
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current_user=Depends(require_auth),
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):
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"""Collect directory context for BooksLM.
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Returns file list, content, and metadata for the specified directory.
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"""
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if not check_vault_access(req.vault, current_user):
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raise HTTPException(status_code=403, detail=f"Accès refusé à la vault '{req.vault}'")
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vault_data = get_vault_data(req.vault)
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if not vault_data:
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raise HTTPException(status_code=404, detail=f"Vault '{req.vault}' not found")
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vault_path = Path(vault_data["path"])
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context = collect_directory_context(vault_path, req.directory)
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return context
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@router.post("/chat")
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async def api_bookslm_chat(
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req: BooksLMChatRequest,
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current_user=Depends(require_auth),
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):
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"""Chat with AI about directory contents (BooksLM).
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Builds context from the directory, then sends the user message
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with a system prompt containing all file contents to the AI provider.
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Returns an SSE stream with the response.
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"""
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if not check_vault_access(req.vault, current_user):
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raise HTTPException(status_code=403, detail=f"Accès refusé à la vault '{req.vault}'")
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vault_data = get_vault_data(req.vault)
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if not vault_data:
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raise HTTPException(status_code=404, detail=f"Vault '{req.vault}' not found")
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vault_path = Path(vault_data["path"])
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# Collect context
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context = collect_directory_context(vault_path, req.directory)
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if context["file_count"] == 0:
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raise HTTPException(status_code=404, detail="Aucun fichier markdown trouvé dans ce dossier")
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# Build system prompt
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system_prompt = build_system_prompt(context)
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# Call AI provider
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from backend.ai import DEFAULT_PROVIDER, PROVIDERS, _call_deepseek_openrouter, _call_gemini
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# Build messages with conversation history
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messages_text = ""
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if req.conversation_history:
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for turn in req.conversation_history:
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role = turn.get("role", "user")
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content = turn.get("content", "")
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if role == "user":
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messages_text += f"\n\nUtilisateur : {content}"
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elif role == "assistant":
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messages_text += f"\n\nAssistant : {content}"
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# Current message
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user_prompt = req.message
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if messages_text:
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user_prompt = f"Historique de la conversation :{messages_text}\n\nQuestion actuelle : {req.message}"
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async def generate_sse():
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try:
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cfg_name = DEFAULT_PROVIDER
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# Check if default provider is available
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if cfg_name != "gemini" and cfg_name in PROVIDERS:
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if not PROVIDERS[cfg_name].get("api_key"):
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# Find first available provider
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for pname, pcfg in PROVIDERS.items():
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if pcfg.get("api_key") and pname != "gemini":
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cfg_name = pname
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break
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if cfg_name == "gemini" and PROVIDERS.get("gemini", {}).get("api_key"):
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response = await _call_gemini(user_prompt, system_prompt, temperature=0.3, max_tokens=4096)
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else:
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response = await _call_deepseek_openrouter(
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user_prompt, system_prompt,
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provider=cfg_name if cfg_name in PROVIDERS else None,
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temperature=0.3,
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max_tokens=4096,
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)
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# Send the full response as a single SSE event
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data = json.dumps({"token": response}, ensure_ascii=False)
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yield f"event: message\ndata: {data}\n\n"
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yield "event: done\ndata: {}\n\n"
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except Exception as e:
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logger.error(f"BooksLM chat error: {e}")
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error_data = json.dumps({"error": str(e)}, ensure_ascii=False)
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yield f"event: error\ndata: {error_data}\n\n"
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return StreamingResponse(
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generate_sse(),
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media_type="text/event-stream",
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headers={
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"Cache-Control": "no-cache",
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"Connection": "keep-alive",
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"X-Accel-Buffering": "no",
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},
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)
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