diff --git a/Dockerfile b/Dockerfile index 2ac2b85..f6b220c 100644 --- a/Dockerfile +++ b/Dockerfile @@ -24,8 +24,6 @@ RUN playwright install #CMD ["tail","-f","/dev/null"] # Run the application. CMD ["gunicorn", "main:app_server", \ - "-w", "4", \ - "-k", "uvicorn.workers.UvicornWorker", \ - "--bind", "0.0.0.0:80", \ + "-c", "/app/gunicorn.conf.py", \ "--access-logfile", "-", \ "--error-logfile", "-"] \ No newline at end of file diff --git a/docker-compose.yml b/docker-compose.yml index 2573d8f..5c57ca0 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,4 +1,5 @@ name: fida-python-prod + services: server: container_name: "FiDA_${SERVE_ENV}_Server" @@ -11,4 +12,56 @@ services: - ./.env:/app/.env - /etc/localtime:/etc/localtime:ro ports: - - "${SERVE_PORT}:80" \ No newline at end of file + - "${SERVE_PORT}:80" + environment: + - SERVE_ENV=${SERVE_ENV} + restart: unless-stopped + + # ==================== Worker 1: img_to_3d（重资源，建议只跑1个） ==================== + img_worker: + container_name: "FiDA_${SERVE_ENV}_ImgWorker" + build: + context: . + dockerfile: Dockerfile + working_dir: /app + command: > + celery -A src.server.canvas_generate_3D.celery_app worker + -n img_worker@%h + -Q img_to_3d_queue + --concurrency=1 + --prefetch-multiplier=1 + --max-tasks-per-child=1 + --loglevel=INFO + volumes: + - ./:/app + - ./.env:/app/.env + - /etc/localtime:/etc/localtime:ro + environment: + - SERVE_ENV=${SERVE_ENV} + depends_on: + - server # 可选：等 server 启动后再启动 worker + restart: unless-stopped + + # ==================== Worker 2: 3d_to_3views ==================== + views_worker: + container_name: "FiDA_${SERVE_ENV}_ViewsWorker" + build: + context: . + dockerfile: Dockerfile + working_dir: /app + command: > + celery -A src.server.canvas_generate_3D.celery_app worker + -n views_worker@%h + -Q 3d_to_3views_queue + --concurrency=2 + --prefetch-multiplier=1 + --loglevel=INFO + volumes: + - ./:/app + - ./.env:/app/.env + - /etc/localtime:/etc/localtime:ro + environment: + - SERVE_ENV=${SERVE_ENV} + depends_on: + - server + restart: unless-stopped \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index f80b3d6..cb5313c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -29,9 +29,7 @@ dependencies = [ "psycopg[binary]>=3.3.3", "postgres>=4.0", "langchain-huggingface>=1.2.0", - "sentence-transformers>=5.2.3", "rank-bm25>=0.2.2", - "torch>=2.10.0", "faiss-cpu>=1.13.2", "terminate>=0.0.9", "report-generator>=0.1.10", @@ -51,4 +49,15 @@ dependencies = [ "tool>=0.8.0", "langchain-daytona>=0.0.3", "langgraph-cli[inmem]>=0.4.19", + "start>=0.2", + "end>=1.3.1", + "annotated>=0.0.2", + "field>=0.2.0", + "aio-pika>=9.6.2", + "celery[redis]>=5.6.3", + "python3-pika>=0.9.14", + "tasks>=2.8.0", + "pika>=1.3.0", + "kombu>=5.4.0", + "sentence-transformers[onnx]>=5.3.0", ] diff --git a/src/core/config.py b/src/core/config.py index 2cb7a2d..acb3237 100644 --- a/src/core/config.py +++ b/src/core/config.py @@ -28,6 +28,11 @@ class Settings(BaseSettings): MINIO_SECRET: str = Field(default='', description="") MINIO_SECURE: bool = Field(default=True, description="") + # --- redis 配置信息 --- + REDIS_HOST: str = Field(default='', description="") + REDIS_PORT: str = Field(default='', description="") + REDIS_DB: int = Field(default=0, description="") + # --- mongodb配置信息 --- MONGODB_USERNAME: str = Field(default="", description="") MONGODB_PASSWORD: str = Field(default="", description="") @@ -38,6 +43,7 @@ class Settings(BaseSettings): IMAGE_TO_3D_MODEL_URL: str = Field(default='', description="") FLUX2_GEN_IMG_MODEL_URL: str = Field(default='', description="") SEG_ANYTHING: str = Field(default='', description="") + RABBITMQ_URL: str = Field(default='', description="") # --- 外部工具api配置信息 --- TAVILY_API_KEY: str = Field(default="", description="") diff --git a/src/routers/generate_3D.py b/src/routers/generate_3D.py index 77b814a..5aed55a 100644 --- a/src/routers/generate_3D.py +++ b/src/routers/generate_3D.py @@ -1,17 +1,23 @@ +import asyncio import json import logging import httpx import requests +import uuid from fastapi import APIRouter from src.core.config import settings from src.schemas.generate_3D import ImageTo3DRequest, ToSVGRequest from src.schemas.response_template import ResponseModel +from src.server.canvas_generate_3D.server import submit_img_to_3d_task, submit_three_d_to_3views_task +from src.server.canvas_generate_3D.tasks import img_to_3d_task router = APIRouter(prefix="/canvas", tags=["Furniture Canvas"]) logger = logging.getLogger(__name__) +img_to_3d_semaphore = asyncio.Semaphore(1) + @router.post("/img_to_3D") async def img_to_3D(request_data: ImageTo3DRequest): @@ -106,6 +112,15 @@ async def img_to_3D(request_data: ImageTo3DRequest): logger.warning(f"img_to_3D Run Exception: {e}") +@router.post("/img_to_3D_mq") +async def img_to_3d_endpoint(request_data: ImageTo3DRequest): + result = submit_img_to_3d_task( + input_images=request_data.input_images, + model=request_data.model + ) + + return result + @router.post("/3d_to_3views") async def to_3views(request_data: ToSVGRequest): @@ -149,3 +164,9 @@ async def to_3views(request_data: ToSVGRequest): except Exception as e: logger.warning(f"img_to_3D Run Exception: {e}") + + +@router.post("/3d_to_3views_mq") +async def to_3views(request_data: ToSVGRequest): + result = submit_three_d_to_3views_task(minio_glb_path=request_data.minio_glb_path) + return result diff --git a/src/server/canvas_generate_3D/celery_app.py b/src/server/canvas_generate_3D/celery_app.py new file mode 100644 index 0000000..cf66ffa --- /dev/null +++ b/src/server/canvas_generate_3D/celery_app.py @@ -0,0 +1,60 @@ +from celery import Celery +import os + +from kombu import Queue + +from src.core.config import settings + +# RabbitMQ 连接（请改成你的真实配置） +BROKER_URL = settings.RABBITMQ_URL # 用户名:密码@主机:端口/vhost + +celery_app = Celery( + "canvas_generate_3D", + broker=BROKER_URL, + backend=f"redis://{settings.REDIS_HOST}:{settings.REDIS_PORT}/{settings.REDIS_DB}", # 推荐用 Redis 存任务结果 + include=["src.server.canvas_generate_3D.tasks"], # 明确包含任务模块 +) + +# 重要配置：限制并发为 1（一次只处理一个 img_to_3D 请求） +celery_app.conf.update( + imports=[ + 'src.server.canvas_generate_3D.tasks', # ← 加上这一行（或你的实际路径） + ], + task_serializer="json", + accept_content=["json"], + result_serializer="json", + timezone="Asia/Hong_Kong", + enable_utc=True, + + # ==================== 新增：定义多个队列 ==================== + task_queues=( + Queue("img_to_3d_queue", durable=True), + Queue("three_d_to_3views_queue", durable=True), + ), + + task_routes={ + 'src.server.canvas_generate_3D.tasks.img_to_3d_task': { + 'queue': 'img_to_3d_queue' + }, + 'src.server.canvas_generate_3D.tasks.three_d_to_3views_task': { # 注意任务名称要一致 + 'queue': 'three_d_to_3views_queue' + }, + }, + task_default_queue="img_to_3d_queue", + + # 全局或针对该队列的限制 + worker_concurrency=1, # 同时只跑 1 个 + worker_prefetch_multiplier=1, # 严格一次只预取 1 个 + worker_max_tasks_per_child=1, # 处理完一个后重启子进程（推荐用于重资源任务） + # 可选：任务 ack 策略（长任务建议晚 ack） + task_acks_late=True, + task_reject_on_worker_lost=True, +) + + +# 可选：打印已注册的任务，帮助调试 +@celery_app.on_after_configure.connect +def setup_periodic_tasks(sender, **kwargs): + print("✅ Celery 已启动，以下任务已注册：") + for task_name in sorted(sender.tasks.keys()): + print(f" - {task_name}") diff --git a/src/server/canvas_generate_3D/server.py b/src/server/canvas_generate_3D/server.py new file mode 100644 index 0000000..8f9779b --- /dev/null +++ b/src/server/canvas_generate_3D/server.py @@ -0,0 +1,80 @@ +from celery import current_app +from src.server.canvas_generate_3D.tasks import img_to_3d_task, three_d_to_3views_task + + +def submit_img_to_3d_task(input_images: list, model: str = "single", **kwargs): + """ + 提交 3D 生成任务 - 队列最多堆积 10 个 + """ + queue_name = "img_to_3d_queue" + max_queue_length = 10 + + try: + with current_app.connection() as conn: # 使用 Celery 的连接（最推荐） + with conn.channel() as channel: + queue_info = channel.queue_declare(queue=queue_name, durable=True, auto_delete=False, passive=False) + current_length = queue_info.message_count + + # 队列已满 + if current_length >= max_queue_length: + return { + "state": "queue_full", + "message": "当前 3D 生成请求较多，请等待片刻后重试。", + "queue_length": current_length, + "max_length": max_queue_length + } + + task = img_to_3d_task.delay(input_images, model, **kwargs) + + return { + "state": "success", + "task_id": task.id, + "message": "任务已成功提交，正在处理中...", + "queue_length": current_length + 1 + } + + except Exception as e: + return { + "state": "fail", + "message": f"提交失败，请稍后重试。错误: {str(e)}", + "error": str(e) + } + + +def submit_three_d_to_3views_task(minio_glb_path: str, **kwargs): + """ + 提交 3D 生成任务 - 队列最多堆积 10 个 + """ + queue_name = "three_d_to_3views_queue" + max_queue_length = 3 + + try: + with current_app.connection() as conn: # 使用 Celery 的连接（最推荐） + with conn.channel() as channel: + queue_info = channel.queue_declare(queue=queue_name, durable=True, auto_delete=False, passive=False) + current_length = queue_info.message_count + + # 队列已满 + if current_length >= max_queue_length: + return { + "state": "queue_full", + "message": "当前 3 视图 生成请求较多，请等待片刻后重试。", + "queue_length": current_length, + "max_length": max_queue_length + } + + task = three_d_to_3views_task.delay(minio_glb_path, **kwargs) + + return { + "state": "success", + "task_id": task.id, + "message": "任务已成功提交，正在处理中...", + "queue_length": current_length + 1 + } + + except Exception as e: + return { + "state": "fail", + "message": f"提交失败，请稍后重试。错误: {str(e)}", + "error": str(e) + } diff --git a/src/server/canvas_generate_3D/tasks.py b/src/server/canvas_generate_3D/tasks.py new file mode 100644 index 0000000..ae46c0a --- /dev/null +++ b/src/server/canvas_generate_3D/tasks.py @@ -0,0 +1,139 @@ +# src/server/canvas_generate_3D/tasks.py +import json +import time +import httpx +from celery import shared_task + +from src.core.config import settings +from src.server.canvas_generate_3D.celery_app import celery_app +import logging + +logger = logging.getLogger(__name__) + + +def send_result_to_rabbitmq(result: dict, job_id: str, status: str = "completed"): + """发送结果到 RabbitMQ（建议后续移到 mq_util.py）""" + try: + # 你已经有 mq_util.py，可以调用那里面的函数 + # 这里先用简单实现，如果你想用 mq_util.py 的方式，后面我再帮你调整 + import pika + from pika import DeliveryMode + + connection = pika.BlockingConnection(pika.URLParameters(settings.RABBITMQ_URL)) + channel = connection.channel() + + EXCHANGE_NAME = "img_to_3d_exchange" + ROUTING_KEY = "img_to_3d_results" + QUEUE_NAME = "img_to_3d_results" + + channel.exchange_declare(exchange=EXCHANGE_NAME, exchange_type="direct", durable=True) + channel.queue_declare(queue=QUEUE_NAME, durable=True) + channel.queue_bind(exchange=EXCHANGE_NAME, queue=QUEUE_NAME, routing_key=ROUTING_KEY) + + message_body = { + "job_id": job_id, + "status": status, + "timestamp": time.time(), + "result": result + } + + channel.basic_publish( + exchange=EXCHANGE_NAME, + routing_key=ROUTING_KEY, + body=json.dumps(message_body).encode("utf-8"), + properties=pika.BasicProperties(delivery_mode=DeliveryMode.Persistent) + ) + logger.info(f"✅ RabbitMQ 发送成功 | job_id: {job_id}") + connection.close() + + except Exception as e: + logger.error(f"❌ RabbitMQ 发送失败 | job_id: {job_id} | {e}") + + +@shared_task(bind=True, queue="img_to_3d_queue", max_retries=3, name='src.server.canvas_generate_3D.tasks.img_to_3d_task') +def img_to_3d_task(self, input_images: list, model: str = "single"): + """img_to_3D 主任务""" + + # ====================== 处理 job_id ====================== + job_id = self.request.id # 如果没传 job_id，就使用 Celery 自带的 task id + + logger.info(f"开始处理 img_to_3D 任务 | job_id: {job_id} | celery_task_id: {self.request.id}") + + try: + input_data = { + "image_paths": input_images, # 注意：后端服务用的是 image_paths，不是 input_images + "model": model, + } + + # 调用模型服务（推荐使用同步 httpx，避免 asyncio.run 在 worker 中的潜在问题） + with httpx.Client(timeout=300.0) as client: # 改成同步 Client + resp = client.post( + f"http://{settings.IMAGE_TO_3D_MODEL_URL}/canvas/img_to_3D", + json=input_data + ) + resp.raise_for_status() # 自动抛出 HTTP 错误 + result = resp.json() + + logger.info(f"任务处理完成 | job_id: {job_id}") + + # 发送 RabbitMQ 通知 + send_result_to_rabbitmq(result=result, job_id=job_id, status="completed") + + return result + + except Exception as exc: + logger.error(f"任务失败 | job_id: {job_id} | error: {exc}", exc_info=True) + + # 发送失败通知 + send_result_to_rabbitmq( + result={"error": str(exc)}, + job_id=job_id, + status="failed" + ) + + # 重试 + raise self.retry(exc=exc, countdown=60, max_retries=3) + + +@shared_task(bind=True, queue="three_d_to_3views_task", max_retries=3, name='src.server.canvas_generate_3D.tasks.three_d_to_3views_task') +def three_d_to_3views_task(self, minio_glb_path: str): + """3D to 3views 主任务""" + + # ====================== 处理 job_id ====================== + job_id = self.request.id # 如果没传 job_id，就使用 Celery 自带的 task id + + logger.info(f"开始处理 three_d_to_3views_task 任务 | job_id: {job_id} | celery_task_id: {self.request.id}") + + try: + input_data = { + "minio_glb_path": minio_glb_path, # 注意：后端服务用的是 image_paths，不是 input_images + } + + # 调用模型服务（推荐使用同步 httpx，避免 asyncio.run 在 worker 中的潜在问题） + with httpx.Client(timeout=300.0) as client: # 改成同步 Client + resp = client.post( + f"http://{settings.IMAGE_TO_3D_MODEL_URL}/canvas/3d_to_3views", + json=input_data + ) + resp.raise_for_status() # 自动抛出 HTTP 错误 + result = resp.json() + + logger.info(f"任务处理完成 | job_id: {job_id}") + + # 发送 RabbitMQ 通知 + send_result_to_rabbitmq(result=result, job_id=job_id, status="completed") + + return result + + except Exception as exc: + logger.error(f"任务失败 | job_id: {job_id} | error: {exc}", exc_info=True) + + # 发送失败通知 + send_result_to_rabbitmq( + result={"error": str(exc)}, + job_id=job_id, + status="failed" + ) + + # 重试 + raise self.retry(exc=exc, countdown=60, max_retries=3) \ No newline at end of file diff --git a/uv.lock b/uv.lock index 11d8c34..76672a6 100644 --- a/uv.lock +++ b/uv.lock @@ -2,9 +2,12 @@ version = 1 revision = 3 requires-python = ">=3.12" resolution-markers = [ - "python_full_version >= '3.14'", - "python_full_version == '3.13.*'", - "python_full_version < '3.13'", + 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