update with out using .env file

README.md

@@ -44,12 +44,12 @@ In `api_cuda` folder is a text_to_image server, for provide text to image servic
 
 
 ### Mention
-You need to make a`./api/.env` and `./api_cuda/.env`
-#### Format of `./api/.env`
+You need to make `./api_cuda/.env` file
+<!-- #### Format of `./api/.env`
 ```sh
 SERVER_IP={your_server_ip}
 SERVER_PORT=5000
-```
+``` -->
 
 #### Format of `./api_cuda/.env`
 ```sh

api/base/__init__.py

@@ -7,19 +7,21 @@
 import logging
 from func import helper
 
-from dotenv import load_dotenv
+# from dotenv import load_dotenv
 
-load_dotenv()
+# load_dotenv()
 
-REDIS_CONNECT = Redis(host=os.getenv("SERVER_IP"), port=6379)
+# REDIS_CONNECT = Redis(host=os.getenv("SERVER_IP"), port=6379)
+REDIS_CONNECT = Redis(host="redis", port=6379)
 TASK_IMAGE_QUEUE = Queue(
     "generate-image-queue",
     connection=REDIS_CONNECT,
     default_timeout=3600,
 )
 
 # SERVER_IP = helper.get_local_ip()
-SERVER_IP = os.getenv("SERVER_IP")
+# SERVER_IP = os.getenv("SERVER_IP")
+SERVER_IP = "localhost"
 SERVER_PORT = 5000
 SERVER_URL = f"http://{SERVER_IP}:{SERVER_PORT}"
 

api/compose.yaml

@@ -16,16 +16,21 @@ services:
       - redis_volume_data:/data
     ports:
       - 6379:6379
+    networks:
+      - my-network
 
   redis_insight:
     image: redislabs/redisinsight:latest
     container_name: redis_insight
     restart: always
     ports:
       - 8001:8001
+    networks:
+      - my-network
     volumes:
       - redis_insight_volume_data:/db
 
+
   server:
     runtime: nvidia  # 使用 NVIDIA Container Toolkit
     build:
@@ -45,8 +50,8 @@ services:
     environment:
       - NVIDIA_VISIBLE_DEVIVES=all
 
-      - SERVER_IP=${SERVER_IP}
-      - SERVER_PORT=${SERVER_PORT}
+      # - SERVER_IP=${SERVER_IP}
+      # - SERVER_PORT=${SERVER_PORT}
 
   work_listener:
     build:
@@ -59,9 +64,9 @@ services:
     networks:
       - my-network
 
-    environment:
-      - SERVER_IP=${SERVER_IP}
-      - SERVER_PORT=${SERVER_PORT}
+    # environment:
+    #   - SERVER_IP=${SERVER_IP}
+    #   - SERVER_PORT=${SERVER_PORT}
 
 
 volumes:

api/rq_worker.py

@@ -1,13 +1,15 @@
 from rq import Worker, Queue, Connection
 from redis import Redis
 import os
-from dotenv import load_dotenv
+
+# from dotenv import load_dotenv
 import api_task_func
 
 
-load_dotenv()
+# load_dotenv()
 
-SERVER_IP = os.getenv("SERVER_IP")
+# SERVER_IP = os.getenv("SERVER_IP")
+SERVER_IP = "redis"  # use in docker compose
 print(SERVER_IP)
 # 连接到Redis队列
 redis_conn = Redis(host=SERVER_IP, port=6379)

api/server_data.json

@@ -1 +1 @@
-{"ip": "140.113.238.27", "port": 5000}
+{"ip": "localhost", "port": 5000}