Upgrade dependencies for docker images and add py3.11 test jobs.

.github/workflows/test_lint.yml

@@ -12,7 +12,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [ "3.10" ]
+        python-version: [ "3.10", "3.11" ]
     steps:
       - uses: actions/checkout@v4
       - name: Set up Python ${{ matrix.python-version }}
@@ -31,6 +31,7 @@ jobs:
           pytest --cov=app .
       - name: Upload coverage reports to Codecov with GitHub Action
         uses: codecov/[email protected]
+        if: ${{ matrix.python-version == '3.11' }} # Only upload coverage reports for the latest Python version
         env:
           CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
       - name: Analysing the code with pylint

Dockerfile

@@ -1,14 +1,15 @@
-ARG TORCH_VERSION=2.1.2
+ARG TORCH_VERSION=2.3.0
 ARG CUDA_VERSION=12.1
 FROM pytorch/pytorch:${TORCH_VERSION}-cuda${CUDA_VERSION}-cudnn8-runtime
 
 WORKDIR /opt/NekoImageGallery
 
 COPY requirements.txt .
 
-RUN pip install --no-cache-dir -r requirements.txt
+RUN PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -r requirements.txt
 
 RUN mkdir -p /opt/models && \
+    export PYTHONDONTWRITEBYTECODE=1 && \
     huggingface-cli download openai/clip-vit-large-patch14 'model.safetensors' '*.txt' '*.json' --local-dir /opt/models/clip && \
     huggingface-cli download google-bert/bert-base-chinese 'model.safetensors' '*.txt' '*.json' --local-dir /opt/models/bert && \
     huggingface-cli download pk5ls20/PaddleModel 'PaddleOCR2Pytorch/ch_ptocr_v4_det_infer.pth' 'PaddleOCR2Pytorch/ch_ptocr_v4_rec_infer.pth' \

app/Services/upload_service.py

@@ -66,7 +66,7 @@ async def _upload_task(self, img: Image.Image, img_data: ImageData, img_bytes: b
 
     async def upload_image(self, img: Image.Image, img_data: ImageData, img_bytes: bytes, skip_ocr: bool):
         await self._queue.put((img, img_data, img_bytes, skip_ocr))
-        logger.info("Image {} added to upload queue. Queue Length: {} [+1]", img_data.id, self._queue.qsize())
+        logger.success("Image {} added to upload queue. Queue Length: {} [+1]", img_data.id, self._queue.qsize())
 
     def get_queue_size(self):
         return self._queue.qsize()

cpu-only.Dockerfile

@@ -1,14 +1,15 @@
-FROM python:3.10-slim-bookworm
+FROM python:3.11-slim-bookworm
 
-RUN pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cpu --no-cache-dir
+RUN PYTHONDONTWRITEBYTECODE=1 pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cpu --no-cache-dir
 
 WORKDIR /opt/NekoImageGallery
 
 COPY requirements.txt .
 
-RUN pip install --no-cache-dir -r requirements.txt
+RUN PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -r requirements.txt
 
 RUN mkdir -p /opt/models && \
+    export PYTHONDONTWRITEBYTECODE=1 && \
     huggingface-cli download openai/clip-vit-large-patch14 'model.safetensors' '*.txt' '*.json' --local-dir /opt/models/clip && \
     huggingface-cli download google-bert/bert-base-chinese 'model.safetensors' '*.txt' '*.json' --local-dir /opt/models/bert && \
     huggingface-cli download pk5ls20/PaddleModel 'PaddleOCR2Pytorch/ch_ptocr_v4_det_infer.pth' 'PaddleOCR2Pytorch/ch_ptocr_v4_rec_infer.pth' \

tests/api/test_upload.py

@@ -12,7 +12,6 @@ def test_upload_bad_img_file(test_client):
                             files={'image_file': bad_img_file},
                             headers={'x-admin-token': TEST_ADMIN_TOKEN},
                             params={'local': True})
-    print(resp.content)
     assert resp.status_code == 422