feat(production): sync all modified production files to git
Includes updates across gateway, router, node-worker, memory-service, aurora-service, swapper, sofiia-console UI and node2 infrastructure: - gateway-bot: Dockerfile, http_api.py, druid/aistalk prompts, doc_service - services/router: main.py, router-config.yml, fabric_metrics, memory_retrieval, offload_client, prompt_builder - services/node-worker: worker.py, main.py, config.py, fabric_metrics - services/memory-service: Dockerfile, database.py, main.py, requirements - services/aurora-service: main.py (+399), kling.py, quality_report.py - services/swapper-service: main.py, swapper_config_node2.yaml - services/sofiia-console: static/index.html (console UI update) - config: agent_registry, crewai_agents/teams, router_agents - ops/fabric_preflight.sh: updated preflight checks - router-config.yml, docker-compose.node2.yml: infra updates - docs: NODA1-AGENT-ARCHITECTURE, fabric_contract updated Made-with: Cursor
This commit is contained in:
Apple
@@ -4,6 +4,7 @@ import asyncio
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import hashlib
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import json
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import logging
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import mimetypes
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import os
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import re
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import shutil
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@@ -13,9 +14,9 @@ from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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from fastapi import Body, FastAPI, File, Form, HTTPException, Query, UploadFile
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from fastapi import Body, FastAPI, File, Form, HTTPException, Query, Request, UploadFile
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import FileResponse
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from fastapi.responses import FileResponse, Response, StreamingResponse
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from .analysis import (
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analyze_photo,
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@@ -47,6 +48,7 @@ MAX_CONCURRENT_JOBS = max(1, int(os.getenv("AURORA_MAX_CONCURRENT_JOBS", "1")))
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store = JobStore(DATA_DIR)
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orchestrator = AuroraOrchestrator(store.outputs_dir, PUBLIC_BASE_URL)
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RUN_SLOT = asyncio.Semaphore(MAX_CONCURRENT_JOBS)
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KLING_VIDEO2VIDEO_CAPABLE: Optional[bool] = None
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app = FastAPI(
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title="Aurora Media Forensics Service",
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@@ -228,7 +230,18 @@ def _enqueue_job_from_path(
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upload_dir = store.uploads_dir / job_id
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upload_dir.mkdir(parents=True, exist_ok=True)
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input_path = upload_dir / safe_filename(file_name)
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shutil.copy2(source_path, input_path)
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trim_info: Optional[Dict[str, float]] = None
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if media_type == "video":
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trim_info = _video_trim_window(export_options)
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if trim_info:
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_trim_video_input(
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source_path,
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input_path,
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start_sec=float(trim_info.get("start_sec") or 0.0),
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duration_sec=trim_info.get("duration_sec"),
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)
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else:
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shutil.copy2(source_path, input_path)
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input_hash = compute_sha256(input_path)
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initial_metadata = _estimate_upload_metadata(
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@@ -238,6 +251,8 @@ def _enqueue_job_from_path(
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)
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if export_options:
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initial_metadata["export_options"] = export_options
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if trim_info:
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initial_metadata["clip"] = trim_info
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initial_metadata["priority"] = priority
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if metadata_patch:
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initial_metadata.update(metadata_patch)
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@@ -408,6 +423,110 @@ def _parse_export_options(raw_value: str) -> Dict[str, Any]:
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return parsed
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def _opt_float(opts: Dict[str, Any], key: str) -> Optional[float]:
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raw = opts.get(key)
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if raw is None or raw == "":
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return None
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try:
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return float(raw)
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except Exception:
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raise HTTPException(status_code=422, detail=f"export_options.{key} must be a number")
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def _video_trim_window(export_options: Dict[str, Any]) -> Optional[Dict[str, float]]:
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opts = export_options if isinstance(export_options, dict) else {}
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start = _opt_float(opts, "clip_start_sec")
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duration = _opt_float(opts, "clip_duration_sec")
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if start is None:
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start = _opt_float(opts, "start_sec")
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if duration is None:
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duration = _opt_float(opts, "duration_sec")
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if start is None and duration is None:
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return None
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start_val = float(start or 0.0)
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duration_val = float(duration) if duration is not None else None
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if start_val < 0:
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raise HTTPException(status_code=422, detail="clip_start_sec must be >= 0")
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if duration_val is not None and duration_val <= 0:
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raise HTTPException(status_code=422, detail="clip_duration_sec must be > 0")
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return {
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"start_sec": round(start_val, 3),
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"duration_sec": round(duration_val, 3) if duration_val is not None else None, # type: ignore[arg-type]
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}
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def _trim_video_input(source_path: Path, target_path: Path, *, start_sec: float, duration_sec: Optional[float]) -> None:
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"""Trim video to a focused segment for faster iteration.
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First attempt is stream copy (lossless, fast). If that fails for container/codec reasons,
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fallback to lightweight re-encode.
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"""
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cmd = [
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"ffmpeg",
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"-hide_banner",
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"-loglevel",
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"error",
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"-y",
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]
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if start_sec > 0:
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cmd.extend(["-ss", f"{start_sec:.3f}"])
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cmd.extend(["-i", str(source_path)])
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if duration_sec is not None:
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cmd.extend(["-t", f"{duration_sec:.3f}"])
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cmd.extend([
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"-map",
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"0:v:0",
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"-map",
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"0:a?",
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"-c",
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"copy",
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"-movflags",
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"+faststart",
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str(target_path),
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])
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proc = subprocess.run(cmd, capture_output=True, text=True, check=False)
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if proc.returncode == 0 and target_path.exists() and target_path.stat().st_size > 0:
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return
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fallback = [
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"ffmpeg",
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"-hide_banner",
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"-loglevel",
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"error",
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"-y",
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]
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if start_sec > 0:
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fallback.extend(["-ss", f"{start_sec:.3f}"])
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fallback.extend(["-i", str(source_path)])
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if duration_sec is not None:
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fallback.extend(["-t", f"{duration_sec:.3f}"])
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fallback.extend(
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[
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"-map",
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"0:v:0",
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"-map",
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"0:a?",
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"-c:v",
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"libx264",
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"-preset",
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"veryfast",
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"-crf",
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"17",
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"-c:a",
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"aac",
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"-b:a",
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"192k",
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"-movflags",
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"+faststart",
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str(target_path),
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]
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)
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proc2 = subprocess.run(fallback, capture_output=True, text=True, check=False)
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if proc2.returncode != 0 or not target_path.exists() or target_path.stat().st_size <= 0:
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err = (proc2.stderr or proc.stderr or "").strip()[:280]
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raise HTTPException(status_code=422, detail=f"video trim failed: {err or 'ffmpeg error'}")
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def _status_timing(job: Any) -> Dict[str, Optional[int]]:
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started = _parse_iso_utc(job.started_at)
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if not started:
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@@ -1134,14 +1253,156 @@ async def cleanup_storage(
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@app.get("/api/aurora/files/{job_id}/{file_name}")
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async def download_output_file(job_id: str, file_name: str) -> FileResponse:
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async def download_output_file(job_id: str, file_name: str, request: Request):
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base = (store.outputs_dir / job_id).resolve()
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target = (base / file_name).resolve()
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if not str(target).startswith(str(base)):
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raise HTTPException(status_code=403, detail="invalid file path")
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if not target.exists() or not target.is_file():
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raise HTTPException(status_code=404, detail="file not found")
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return FileResponse(path=target, filename=target.name)
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total_size = target.stat().st_size
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range_header = request.headers.get("range")
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if not range_header:
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return FileResponse(
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path=target,
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filename=target.name,
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headers={"Accept-Ranges": "bytes"},
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)
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parsed = _parse_range_header(range_header, total_size)
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if parsed is None:
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return FileResponse(
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path=target,
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filename=target.name,
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headers={"Accept-Ranges": "bytes"},
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)
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start, end = parsed
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if start >= total_size:
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return Response(
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status_code=416,
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headers={"Content-Range": f"bytes */{total_size}", "Accept-Ranges": "bytes"},
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)
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content_length = (end - start) + 1
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media_type = mimetypes.guess_type(str(target))[0] or "application/octet-stream"
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def _iter_range():
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with target.open("rb") as fh:
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fh.seek(start)
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remaining = content_length
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while remaining > 0:
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chunk = fh.read(min(65536, remaining))
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if not chunk:
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break
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remaining -= len(chunk)
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yield chunk
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return StreamingResponse(
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_iter_range(),
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status_code=206,
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media_type=media_type,
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headers={
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"Content-Range": f"bytes {start}-{end}/{total_size}",
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"Content-Length": str(content_length),
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"Accept-Ranges": "bytes",
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"Content-Disposition": f'attachment; filename="{target.name}"',
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},
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)
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def _parse_range_header(range_header: str, total_size: int) -> Optional[tuple[int, int]]:
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value = str(range_header or "").strip()
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if not value.lower().startswith("bytes="):
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return None
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spec = value.split("=", 1)[1].strip()
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if "," in spec:
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return None
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if "-" not in spec:
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return None
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start_txt, end_txt = spec.split("-", 1)
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try:
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if start_txt == "":
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# Suffix range: bytes=-N
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suffix_len = int(end_txt)
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if suffix_len <= 0:
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return None
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if suffix_len >= total_size:
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return 0, max(0, total_size - 1)
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return total_size - suffix_len, total_size - 1
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start = int(start_txt)
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if start < 0:
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return None
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if end_txt == "":
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end = total_size - 1
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else:
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end = int(end_txt)
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if end < start:
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return None
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return start, min(end, max(0, total_size - 1))
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except Exception:
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return None
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def _extract_first_video_frame(video_path: Path, output_path: Path) -> Path:
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"""Extract the first decodable video frame to an image file."""
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try:
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import cv2 # type: ignore[import-untyped]
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except Exception as exc:
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raise RuntimeError("OpenCV is required for Kling image2video fallback.") from exc
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output_path.parent.mkdir(parents=True, exist_ok=True)
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cap = cv2.VideoCapture(str(video_path))
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try:
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if not cap.isOpened():
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raise RuntimeError(f"Cannot open video for fallback frame extraction: {video_path}")
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ok, frame = cap.read()
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if not ok or frame is None:
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raise RuntimeError("Could not read first frame from video")
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if not cv2.imwrite(str(output_path), frame):
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raise RuntimeError(f"Failed to write fallback frame: {output_path}")
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finally:
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cap.release()
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return output_path
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def _resolve_kling_result_url(task_data: Dict[str, Any]) -> Optional[str]:
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if not isinstance(task_data, dict):
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return None
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task_result = task_data.get("task_result")
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if isinstance(task_result, dict):
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videos = task_result.get("videos")
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if isinstance(videos, list):
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for item in videos:
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if not isinstance(item, dict):
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continue
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for key in ("url", "video_url", "play_url", "download_url"):
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value = item.get(key)
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if isinstance(value, str) and value:
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return value
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elif isinstance(videos, dict):
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for key in ("url", "video_url", "play_url", "download_url"):
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value = videos.get(key)
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if isinstance(value, str) and value:
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return value
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for key in ("url", "video_url", "play_url", "download_url", "result_url"):
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value = task_result.get(key)
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if isinstance(value, str) and value:
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return value
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for key in ("kling_result_url", "result_url", "video_url", "url"):
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value = task_data.get(key)
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if isinstance(value, str) and value:
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return value
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return None
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def _compact_error_text(err: Any, limit: int = 220) -> str:
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text = re.sub(r"\s+", " ", str(err)).strip()
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return text[:limit]
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# ── Kling AI endpoints ────────────────────────────────────────────────────────
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@@ -1163,7 +1424,7 @@ async def kling_enhance_video(
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cfg_scale: float = Form(0.5, description="Prompt adherence 0.0-1.0"),
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) -> Dict[str, Any]:
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"""Submit Aurora job result to Kling AI for video-to-video enhancement."""
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from .kling import kling_video_enhance, kling_upload_file
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from .kling import kling_video_enhance, kling_upload_file, kling_video_generate_from_file
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job = store.get_job(job_id)
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if not job:
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@@ -1181,45 +1442,97 @@ async def kling_enhance_video(
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if not result_path.exists():
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raise HTTPException(status_code=404, detail="Result file not found for this job")
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try:
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upload_resp = kling_upload_file(result_path)
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except Exception as exc:
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raise HTTPException(status_code=502, detail=f"Kling upload error: {str(exc)[:400]}") from exc
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file_id = (upload_resp.get("data") or {}).get("resource_id") or (upload_resp.get("data") or {}).get("file_id")
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global KLING_VIDEO2VIDEO_CAPABLE
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if not file_id:
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raise HTTPException(status_code=502, detail=f"Kling upload failed: {upload_resp}")
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task_resp: Optional[Dict[str, Any]] = None
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file_id: Optional[str] = None
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kling_endpoint = "video2video"
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video2video_error: Optional[str] = None
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fallback_frame_name: Optional[str] = None
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# Primary path: upload + video2video.
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if KLING_VIDEO2VIDEO_CAPABLE is not False:
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try:
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upload_resp = kling_upload_file(result_path)
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file_id = (upload_resp.get("data") or {}).get("resource_id") or (upload_resp.get("data") or {}).get("file_id")
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if not file_id:
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raise RuntimeError(f"Kling upload failed: {upload_resp}")
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task_resp = kling_video_enhance(
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video_id=file_id,
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prompt=prompt,
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negative_prompt=negative_prompt,
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mode=mode,
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duration=duration,
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cfg_scale=cfg_scale,
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)
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KLING_VIDEO2VIDEO_CAPABLE = True
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except Exception as exc:
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raw_error = str(exc)
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video2video_error = _compact_error_text(raw_error, limit=220)
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logger.warning("kling video2video unavailable for %s: %s", job_id, video2video_error)
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lower_error = raw_error.lower()
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if "endpoint mismatch" in lower_error or "404" in lower_error:
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KLING_VIDEO2VIDEO_CAPABLE = False
|
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else:
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video2video_error = "video2video skipped (previous endpoint mismatch)"
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|
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# Fallback path: extract first frame and run image2video (base64 payload).
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if task_resp is None:
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try:
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frame_path = _extract_first_video_frame(
|
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result_path,
|
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store.outputs_dir / job_id / "_kling_fallback_frame.jpg",
|
||||
)
|
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fallback_frame_name = frame_path.name
|
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task_resp = kling_video_generate_from_file(
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image_path=frame_path,
|
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prompt=prompt,
|
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negative_prompt=negative_prompt,
|
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mode=mode,
|
||||
duration=duration,
|
||||
cfg_scale=cfg_scale,
|
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aspect_ratio="16:9",
|
||||
)
|
||||
kling_endpoint = "image2video"
|
||||
except Exception as fallback_exc:
|
||||
detail = "Kling submit failed"
|
||||
if video2video_error:
|
||||
detail = f"Kling video2video error: {video2video_error}; image2video fallback error: {_compact_error_text(fallback_exc, limit=220)}"
|
||||
else:
|
||||
detail = f"Kling image2video fallback error: {_compact_error_text(fallback_exc, limit=220)}"
|
||||
raise HTTPException(status_code=502, detail=detail) from fallback_exc
|
||||
|
||||
if task_resp is None:
|
||||
raise HTTPException(status_code=502, detail="Kling task submit failed: empty response")
|
||||
|
||||
try:
|
||||
task_resp = kling_video_enhance(
|
||||
video_id=file_id,
|
||||
prompt=prompt,
|
||||
negative_prompt=negative_prompt,
|
||||
mode=mode,
|
||||
duration=duration,
|
||||
cfg_scale=cfg_scale,
|
||||
)
|
||||
except Exception as exc:
|
||||
raise HTTPException(status_code=502, detail=f"Kling task submit error: {str(exc)[:400]}") from exc
|
||||
task_id = (task_resp.get("data") or {}).get("task_id") or task_resp.get("task_id")
|
||||
if not task_id:
|
||||
raise HTTPException(status_code=502, detail=f"Kling task_id missing in response: {task_resp}")
|
||||
|
||||
kling_meta_dir = store.outputs_dir / job_id
|
||||
kling_meta_path = kling_meta_dir / "kling_task.json"
|
||||
kling_meta_path.write_text(json.dumps({
|
||||
meta_payload: Dict[str, Any] = {
|
||||
"aurora_job_id": job_id,
|
||||
"kling_task_id": task_id,
|
||||
"kling_file_id": file_id,
|
||||
"kling_endpoint": kling_endpoint,
|
||||
"prompt": prompt,
|
||||
"mode": mode,
|
||||
"duration": duration,
|
||||
"submitted_at": datetime.now(timezone.utc).isoformat(),
|
||||
"status": "submitted",
|
||||
}, ensure_ascii=False, indent=2), encoding="utf-8")
|
||||
}
|
||||
if fallback_frame_name:
|
||||
meta_payload["kling_source_frame"] = fallback_frame_name
|
||||
if video2video_error:
|
||||
meta_payload["video2video_error"] = video2video_error
|
||||
kling_meta_path.write_text(json.dumps(meta_payload, ensure_ascii=False, indent=2), encoding="utf-8")
|
||||
|
||||
return {
|
||||
"aurora_job_id": job_id,
|
||||
"kling_task_id": task_id,
|
||||
"kling_file_id": file_id,
|
||||
"kling_endpoint": kling_endpoint,
|
||||
"status": "submitted",
|
||||
"status_url": f"/api/aurora/kling/status/{job_id}",
|
||||
}
|
||||
@@ -1238,9 +1551,10 @@ async def kling_task_status_for_job(job_id: str) -> Dict[str, Any]:
|
||||
task_id = meta.get("kling_task_id")
|
||||
if not task_id:
|
||||
raise HTTPException(status_code=404, detail="Kling task_id missing in metadata")
|
||||
endpoint = str(meta.get("kling_endpoint") or "video2video")
|
||||
|
||||
try:
|
||||
status_resp = kling_video_task_status(task_id, endpoint="video2video")
|
||||
status_resp = kling_video_task_status(task_id, endpoint=endpoint)
|
||||
except Exception as exc:
|
||||
raise HTTPException(status_code=502, detail=f"Kling status error: {str(exc)[:400]}") from exc
|
||||
task_data = status_resp.get("data") or status_resp
|
||||
@@ -1249,19 +1563,17 @@ async def kling_task_status_for_job(job_id: str) -> Dict[str, Any]:
|
||||
meta["status"] = state
|
||||
meta["last_checked"] = datetime.now(timezone.utc).isoformat()
|
||||
|
||||
result_url = None
|
||||
works = task_data.get("task_result", {}).get("videos") or []
|
||||
if works:
|
||||
result_url = works[0].get("url")
|
||||
if result_url:
|
||||
meta["kling_result_url"] = result_url
|
||||
meta["completed_at"] = datetime.now(timezone.utc).isoformat()
|
||||
result_url = _resolve_kling_result_url(task_data)
|
||||
if result_url:
|
||||
meta["kling_result_url"] = result_url
|
||||
meta["completed_at"] = datetime.now(timezone.utc).isoformat()
|
||||
|
||||
kling_meta_path.write_text(json.dumps(meta, ensure_ascii=False, indent=2), encoding="utf-8")
|
||||
|
||||
return {
|
||||
"aurora_job_id": job_id,
|
||||
"kling_task_id": task_id,
|
||||
"kling_endpoint": endpoint,
|
||||
"status": state,
|
||||
"kling_result_url": result_url,
|
||||
"meta": meta,
|
||||
@@ -1279,7 +1591,7 @@ async def kling_image_to_video(
|
||||
aspect_ratio: str = Form("16:9"),
|
||||
) -> Dict[str, Any]:
|
||||
"""Generate video from a still image using Kling AI."""
|
||||
from .kling import kling_upload_file, kling_video_generate
|
||||
from .kling import kling_video_generate_from_file
|
||||
|
||||
file_name = file.filename or "frame.jpg"
|
||||
content = await file.read()
|
||||
@@ -1293,16 +1605,8 @@ async def kling_image_to_video(
|
||||
|
||||
try:
|
||||
try:
|
||||
upload_resp = kling_upload_file(tmp_path)
|
||||
except Exception as exc:
|
||||
raise HTTPException(status_code=502, detail=f"Kling upload error: {str(exc)[:400]}") from exc
|
||||
file_id = (upload_resp.get("data") or {}).get("resource_id") or (upload_resp.get("data") or {}).get("file_id")
|
||||
if not file_id:
|
||||
raise HTTPException(status_code=502, detail=f"Kling upload failed: {upload_resp}")
|
||||
|
||||
try:
|
||||
task_resp = kling_video_generate(
|
||||
image_id=file_id,
|
||||
task_resp = kling_video_generate_from_file(
|
||||
image_path=tmp_path,
|
||||
prompt=prompt,
|
||||
negative_prompt=negative_prompt,
|
||||
model=model,
|
||||
@@ -1313,9 +1617,12 @@ async def kling_image_to_video(
|
||||
except Exception as exc:
|
||||
raise HTTPException(status_code=502, detail=f"Kling task submit error: {str(exc)[:400]}") from exc
|
||||
task_id = (task_resp.get("data") or {}).get("task_id") or task_resp.get("task_id")
|
||||
if not task_id:
|
||||
raise HTTPException(status_code=502, detail=f"Kling task_id missing in response: {task_resp}")
|
||||
return {
|
||||
"kling_task_id": task_id,
|
||||
"kling_file_id": file_id,
|
||||
"kling_file_id": None,
|
||||
"kling_endpoint": "image2video",
|
||||
"status": "submitted",
|
||||
"status_url": f"/api/aurora/kling/task/{task_id}?endpoint=image2video",
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user