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 <00061074@chery.local>
Date: Mon, 3 Nov 2025 13:19:49 +0800
Subject: [PATCH] =?UTF-8?q?=E4=BC=98=E5=8C=96docker?=
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---
 Dockerfile | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 54a794b..ce77396 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -25,8 +25,10 @@ RUN apt-get update && apt-get install -y \
 COPY requirements.txt .
 
 # 安装Python依赖（排除GUI相关依赖，Docker中不需要）
-RUN pip install --no-cache-dir -r requirements.txt && \
-    pip install --no-cache-dir gunicorn
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt && \
+    pip install --no-cache-dir gunicorn && \
+    which gunicorn || echo "Gunicorn installed via python -m"
 
 # 复制应用代码
 COPY . .
@@ -47,4 +49,5 @@ HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
 # 使用gunicorn启动应用（生产环境）
 # 注意：默认配置使用2个worker，适合1GB+内存的机器
 # 如果机器内存较小（512MB-1GB），建议修改为 "--workers", "1"
-CMD ["gunicorn", "--bind", "0.0.0.0:5000", "--workers", "2", "--timeout", "120", "--access-logfile", "-", "--error-logfile", "-", "web_app:app"]
+# 使用 python -m gunicorn 确保可以找到 gunicorn
+CMD ["python", "-m", "gunicorn", "--bind", "0.0.0.0:5000", "--workers", "2", "--timeout", "120", "--access-logfile", "-", "--error-logfile", "-", "web_app:app"]