235 lines
10 KiB
Python
235 lines
10 KiB
Python
from __future__ import annotations
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import asyncio
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from typing import Any
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from fastapi import FastAPI, File, HTTPException, UploadFile
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from fastapi.responses import JSONResponse, StreamingResponse
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from app.models.contracts import ChatRequest, ConversationPatch
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from app.services.agent_service import AgentService
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from app.services.library import CdslLibrary
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from app.services.storage import WorkspaceStore, safe_conversation_id, safe_task_id
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from app.services.attachments import attachment_record, classify_upload, extract_document_text
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from app.services.image_processing import image_metadata
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from app.settings import get_settings
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settings = get_settings()
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store = WorkspaceStore(settings)
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library = CdslLibrary(settings)
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agent = AgentService(settings, store, library)
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app = FastAPI(title="CDSL CAD Agent API", version="0.1.0")
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@app.on_event("startup")
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async def resume_autonomous_generation() -> None:
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"""Prewarm model protocols without delaying API readiness."""
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asyncio.create_task(agent.resume_running_tasks(), name="cad-model-protocol-prewarm")
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@app.get("/health")
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async def health() -> dict[str, Any]:
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return {
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"ok": True,
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"service": "cdsl-cad-backend",
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"llm_configured": settings.llm_configured,
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"library_index": (settings.library_root / "index" / "catalog.json").is_file(),
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}
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@app.get("/v1/config")
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async def config() -> dict[str, Any]:
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providers = []
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for provider in settings.providers:
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if not provider.configured:
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continue
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providers.append({
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"id": provider.id,
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"label": provider.label,
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"models": [
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{
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"id": model.id,
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"vision": model.vision,
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}
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for model in provider.models
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],
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})
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return {
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"default_provider": settings.default_provider_id,
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"default_model": settings.llm_model,
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"providers": providers,
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"model": settings.llm_model,
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"configured": settings.llm_configured,
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"library_samples": library.count(),
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"autonomous_generation": settings.autonomous_generation,
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}
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@app.post("/v1/chat/stream")
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async def chat_stream(payload: ChatRequest) -> StreamingResponse:
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return StreamingResponse(
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agent.stream(payload.messages, payload.conversation_id, payload.selected_task_id, payload.provider_id, payload.model_id, payload.viewer_context),
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media_type="text/event-stream",
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headers={"Cache-Control": "no-cache", "X-Accel-Buffering": "no"},
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)
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@app.get("/v1/conversations/{conversation_id}")
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async def read_conversation(conversation_id: str) -> JSONResponse:
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try:
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record = store.read_conversation(safe_conversation_id(conversation_id))
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except ValueError as error:
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raise HTTPException(status_code=400, detail=str(error)) from error
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if record is None:
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raise HTTPException(status_code=404, detail="Conversation not found")
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return JSONResponse(record)
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@app.post("/v1/conversations")
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async def create_conversation() -> JSONResponse:
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return JSONResponse(store.ensure_conversation(None))
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@app.patch("/v1/conversations/{conversation_id}")
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async def patch_conversation(conversation_id: str, payload: ConversationPatch) -> JSONResponse:
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try:
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record = store.ensure_conversation(safe_conversation_id(conversation_id), payload.current_task_id)
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except ValueError as error:
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raise HTTPException(status_code=400, detail=str(error)) from error
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return JSONResponse(record)
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@app.post("/v1/conversations/{conversation_id}/attachments")
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async def upload_conversation_attachment(
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conversation_id: str,
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file: UploadFile = File(...),
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) -> JSONResponse:
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data = await file.read()
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filename = file.filename or "attachment"
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try:
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conversation = safe_conversation_id(conversation_id)
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current = store.read_conversation(conversation)
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if current is None:
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raise HTTPException(status_code=404, detail="Conversation not found")
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active_task_id = str(current.get("current_task_id") or "")
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active_task = agent.cad.repository.get_task_projection(active_task_id) if active_task_id else None
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if str((active_task or {}).get("lifecycle") or "") == "running":
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raise HTTPException(status_code=409, detail="CAD task is running; attachments are locked until it reaches a terminal state")
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kind = classify_upload(filename, file.content_type or "", len(data))
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relative_path, _ = store.write_conversation_upload(conversation, filename, data)
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extracted_path = ""
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if kind == "document":
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extracted_path = relative_path + ".txt"
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extracted = extract_document_text(data)
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store.conversation_attachment_path(conversation, extracted_path).write_text(extracted, encoding="utf-8")
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metadata = image_metadata(data) if kind == "image" else {}
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record = attachment_record(conversation, filename, file.content_type or "", relative_path, data, kind, extracted_path, metadata)
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store.add_conversation_attachment(conversation, record)
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return JSONResponse(record)
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except ValueError as error:
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raise HTTPException(status_code=400, detail=str(error)) from error
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@app.get("/v1/tasks/{task_id}")
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async def read_task(task_id: str) -> JSONResponse:
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try:
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safe_id = safe_task_id(task_id)
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task = agent.cad.repository.get_task_projection(safe_id)
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except ValueError as error:
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raise HTTPException(status_code=400, detail=str(error)) from error
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if task is None:
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raise HTTPException(status_code=404, detail="Task not found")
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task["preview_revision"] = str(task.get("active_revision") or "")
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state = agent.cad.repository.get_state(safe_id)
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task["requirements_analysis"] = agent.cad.artifacts.read_json(safe_id, state.requirements_path) if state and state.requirements_path else None
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task["authoring_cdsl"] = agent.cad.artifacts.read_json(safe_id, state.authoring_path) if state and state.authoring_path else None
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task["runtime_cdsl"] = agent.cad.artifacts.read_json(safe_id, state.runtime_cdsl_path) if state and state.runtime_cdsl_path else None
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task["compile_audit"] = agent.cad.artifacts.read_json(safe_id, state.compile_audit_path) if state and state.compile_audit_path else None
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task["diagnostics"] = agent.cad.artifacts.read_json(safe_id, state.diagnostics_path) if state and state.diagnostics_path else None
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task["claim_report"] = agent.cad.artifacts.read_json(safe_id, "documents/claim-report.json")
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result_path = agent.cad.artifacts.artifact_path(safe_id, state.completion_path) if state and state.completion_path else None
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task["completion_result_markdown"] = result_path.read_text(encoding="utf-8") if result_path and result_path.is_file() else None
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task["usage"] = agent.cad.repository.usage_summary(safe_id)
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return JSONResponse(task)
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@app.delete("/v1/tasks/{task_id}")
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async def cancel_task(task_id: str) -> JSONResponse:
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try:
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safe_id = safe_task_id(task_id)
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task = await agent.cancel(safe_id)
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except ValueError as error:
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raise HTTPException(status_code=400, detail=str(error)) from error
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if task is None:
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raise HTTPException(status_code=404, detail="Task not found")
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return JSONResponse(task)
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@app.post("/v1/tasks/{task_id}/resume")
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async def resume_task(task_id: str) -> JSONResponse:
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"""Explicit recovery for a bounded infrastructure retry.
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The workflow resumes its persisted source phase rather than inferring an
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action from requirements, and never treats ``WAITING_FOR_USER`` as a
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retryable service error.
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"""
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try:
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safe_id = safe_task_id(task_id)
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except ValueError as error:
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raise HTTPException(status_code=400, detail=str(error)) from error
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try:
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task = await agent.resume_retry(safe_id)
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except ValueError as error:
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raise HTTPException(status_code=409, detail=str(error)) from error
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except Exception as error:
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raise HTTPException(status_code=503, detail=f"CAD retry recovery is temporarily unavailable: {str(error)[:500]}") from error
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if task is None:
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raise HTTPException(status_code=404, detail="Task not found")
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return JSONResponse(task)
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@app.get("/v1/tasks/{task_id}/artifacts/{artifact_path:path}")
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async def read_artifact(task_id: str, artifact_path: str) -> StreamingResponse:
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from fastapi.responses import FileResponse
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try:
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safe_id = safe_task_id(task_id)
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path = agent.cad.artifacts.artifact_path(safe_id, artifact_path)
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except ValueError as error:
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raise HTTPException(status_code=400, detail=str(error)) from error
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if not path.is_file():
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raise HTTPException(status_code=404, detail="Artifact not found")
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task = agent.cad.repository.get_task_projection(safe_id) or {}
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parts = artifact_path.split("/")
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revision_id = parts[1] if len(parts) >= 3 and parts[0] == "revisions" else ""
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published_revision = str(task.get("published_revision") or "")
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active_revision = str(task.get("active_revision") or task.get("current_revision") or "")
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if not revision_id:
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if artifact_path == "completion-result.md" and str(task.get("completion_path") or "") == artifact_path:
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return FileResponse(path, filename=path.name)
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raise HTTPException(status_code=403, detail="This task artifact is not public")
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if revision_id == published_revision:
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published_paths = {
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f"revisions/{revision_id}/model.cdsl.json",
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f"revisions/{revision_id}/model.step",
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f"revisions/{revision_id}/model.glb",
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f"revisions/{revision_id}/rebuild-report.json",
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f"revisions/{revision_id}/build-diagnostics.json",
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f"revisions/{revision_id}/renders/render-manifest.json",
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}
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if artifact_path not in published_paths:
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raise HTTPException(status_code=403, detail="Only final delivery artifacts are downloadable")
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return FileResponse(path, filename=path.name)
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# A running task can render its active executable prefix, but its staging
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# inputs and diagnostics remain private until publication.
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if (
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str(task.get("lifecycle") or "") != "running"
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or revision_id != active_revision
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or artifact_path != f"revisions/{revision_id}/model.glb"
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):
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raise HTTPException(status_code=403, detail="Only the published revision is downloadable")
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return FileResponse(path, media_type="model/gltf-binary", headers={"Content-Disposition": "inline"})
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