[eat] 支持自定义启动服务的进程、线程数

Dockerfile

@@ -9,13 +9,11 @@ COPY . /app
 
 # 设置环境变量
 ENV PYTHONUNBUFFERED=1
-# 设置工作进程数
-ENV PROCESS_WORKERS=1
-# 设置工作线程数
-ENV PROCESS_THREADS=2
 
 RUN chmod +x /app/start.sh
 
+RUN apt update && apt install -y jq
+
 # 设置 pip 源为清华大学镜像
 RUN pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
 

data/config.json

@@ -1,6 +1,8 @@
 {
     "log_level": "DEBUG",
     "need_log_to_file": "true",
+    "process_workers": 2,
+    "process_threads": 2,
     "pandora_base_url": "",
     "pandora_api_prefix": "",
     "backend_container_url": "",

main.py

@@ -173,9 +173,9 @@ CORS(app, resources={r"/images/*": {"origins": "*"}})
 PANDORA_UPLOAD_URL = 'files.pandoranext.com'
 
 
-VERSION = '0.3.6'
+VERSION = '0.3.7'
 # VERSION = 'test'
-UPDATE_INFO = '增加特殊情况下的错误日志输出'
+UPDATE_INFO = '支持自定义启动服务的进程、线程数'
 # UPDATE_INFO = '【仅供临时测试使用】 '
 
 with app.app_context():

start.sh

@@ -3,18 +3,32 @@
 # 记录当前日期和时间
 NOW=$(date +"%Y-%m-%d-%H-%M")
 
+# 尝试从环境变量获取参数，如果不存在，则从 config.json 文件中读取
+# 如果这些值仍然不存在，将它们设置为默认值
 
-# 如未设置，填充默认值
 if [ -z "$PROCESS_WORKERS" ]; then
-    export PROCESS_WORKERS=1
+    PROCESS_WORKERS=$(jq -r '.process_workers // empty' /app/data/config.json)
+    export PROCESS_WORKERS
+
+    if [ -z "$PROCESS_WORKERS" ]; then
+        PROCESS_WORKERS=1
+    fi
 fi
 
 if [ -z "$PROCESS_THREADS" ]; then
-    export PROCESS_THREADS=2
+    PROCESS_THREADS=$(jq -r '.process_threads // empty' /app/data/config.json)
+    export PROCESS_THREADS
+
+    if [ -z "$PROCESS_THREADS" ]; then
+        PROCESS_THREADS=2
+    fi
 fi
 
+export PROCESS_WORKERS
+export PROCESS_THREADS
+
+echo "PROCESS_WORKERS: ${PROCESS_WORKERS}"
+echo "PROCESS_THREADS: ${PROCESS_THREADS}"
+
 # 启动 Gunicorn 并使用 tee 命令同时输出日志到文件和控制台
 exec gunicorn -w ${PROCESS_WORKERS} --threads ${PROCESS_THREADS} --bind 0.0.0.0:33333 main:app --access-logfile - --error-logfile -
-
-# python3 ./main.py
-