feat(docker): 优化 Dockerfile 支持弱网环境缓存

- 使用缓存挂载 DataX 源码，避免重复克隆提高构建效率
- 添加 NLTK 数据缓存挂载并增加失败检查机制
- 实现 PaddleOCR 模型下载缓存，支持离线重用
- 集成 spaCy 模型缓存机制，提升安装稳定性
- 优化构建流程适配弱网环境下的依赖下载

scripts/images/backend-python/Dockerfile

@@ -16,9 +16,18 @@ RUN mkdir -p /root/.m2 && \
   </mirrors>\n\
 </settings>' > /root/.m2/settings.xml
 
-RUN apt-get update && \
+# 使用缓存挂载 DataX 源码，支持弱网环境
+RUN --mount=type=cache,target=/tmp/datax-git \
+    apt-get update && \
     apt-get install -y git && \
-    git clone https://gitee.com/alibaba/DataX.git
+    if [ -d /tmp/datax-git/.git ]; then \
+        echo "Using cached DataX repository"; \
+        cd /tmp/datax-git && git pull || true; \
+    else \
+        echo "Cloning DataX repository..."; \
+        git clone https://gitee.com/alibaba/DataX.git /tmp/datax-git || exit 1; \
+    fi \
+    && cp -r /tmp/datax-git /DataX
 
 COPY runtime/datax/ DataX/
 
@@ -76,8 +85,11 @@ COPY runtime/datamate-python/pyproject.toml runtime/datamate-python/poetry.lock*
 RUN --mount=type=cache,target=$POETRY_CACHE_DIR \
     poetry install --no-root --only main
 
-# Download NLTK data
+# 使用缓存挂载 NLTK 数据，支持弱网环境
-RUN python -c "import nltk; nltk.download(['punkt_tab','averaged_perceptron_tagger_eng'], download_dir='/usr/local/nltk_data')"
+RUN --mount=type=cache,target=/usr/local/nltk_data \
+    python -c "import nltk; nltk.download(['punkt_tab','averaged_perceptron_tagger_eng'], download_dir='/usr/local/nltk_data')" || \
+    (echo "Warning: Failed to download NLTK data, checking if cache exists..." && \
+     [ -f /usr/local/nltk_data/tokenizers/punkt_tab/english/collocations.tab ] || exit 1)
 ENV NLTK_DATA=/usr/local/nltk_data
 
 # Copy the rest of the application

scripts/images/runtime/Dockerfile

@@ -11,10 +11,16 @@ RUN --mount=type=cache,target=/var/cache/apt \
     && apt update \
     && apt install -y libgl1 libglib2.0-0 vim libmagic1 libreoffice dos2unix swig poppler-utils tesseract-ocr
 
-RUN mkdir -p /home/models \
+# 使用缓存挂载下载 PaddleOCR 模型，支持弱网环境
-    && wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar \
+RUN --mount=type=cache,target=/tmp/models \
-    && tar -xf ch_ppocr_mobile_v2.0_cls_infer.tar -C /home/models \
+    mkdir -p /home/models \
-    && rm -f ch_*.tar
+    && if [ ! -f /tmp/models/ch_ppocr_mobile_v2.0_cls_infer.tar ]; then \
+        echo "Downloading PaddleOCR model..."; \
+        wget -O /tmp/models/ch_ppocr_mobile_v2.0_cls_infer.tar https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_cls_infer.tar || exit 1; \
+    else \
+        echo "Using cached PaddleOCR model"; \
+    fi \
+    && tar -xf /tmp/models/ch_ppocr_mobile_v2.0_cls_infer.tar -C /home/models
 
 COPY runtime/python-executor /opt/runtime
 COPY runtime/ops /opt/runtime/datamate/ops
@@ -29,10 +35,18 @@ ENV UV_INDEX_URL="https://mirrors.aliyun.com/pypi/simple/"
 
 WORKDIR /opt/runtime
 
+# 使用缓存挂载 spaCy 模型，支持弱网环境
 RUN --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=cache,target=/tmp/spacy-models \
     uv pip install -e .[all] --system \
     && uv pip install -r /opt/runtime/datamate/ops/pyproject.toml --system \
-    && uv pip install https://ghproxy.net/https://github.com/explosion/spacy-models/releases/download/zh_core_web_sm-3.8.0/zh_core_web_sm-3.8.0-py3-none-any.whl --system \
+    && if [ ! -f /tmp/spacy-models/zh_core_web_sm-3.8.0-py3-none-any.whl ]; then \
+        echo "Downloading spaCy model..."; \
+        wget -O /tmp/spacy-models/zh_core_web_sm-3.8.0-py3-none-any.whl https://ghproxy.net/https://github.com/explosion/spacy-models/releases/download/zh_core_web_sm-3.8.0/zh_core_web_sm-3.8.0-py3-none-any.whl || exit 1; \
+    else \
+        echo "Using cached spaCy model"; \
+    fi \
+    && uv pip install /tmp/spacy-models/zh_core_web_sm-3.8.0-py3-none-any.whl --system \
     && echo "/usr/local/lib/ops/site-packages" > /usr/local/lib/python3.11/site-packages/ops.pth
 
 RUN ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime \