Add Dockerfile and docker-compose.yml #17
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Important Auto Review SkippedAuto reviews are disabled on base/target branches other than the default branch. Please add the base/target branch pattern to the list of additional branches to be reviewed in the settings. Please check the settings in the CodeRabbit UI or the To trigger a single review, invoke the WalkthroughThe changes involve updating a Dockerfile for a containerized application that now builds upon an NVIDIA PyTorch image, setting up the environment, and installing dependencies. A new Python module Changes
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Files ignored due to filter (1)
- docker-compose.yml
Files selected for processing (3)
- Dockerfile (1 hunks)
- app/dummy_modal.py (1 hunks)
- app/grounded_cutouts.py (3 hunks)
Files skipped from review due to trivial changes (1)
- Dockerfile
Additional comments: 2
app/grounded_cutouts.py (2)
219-226: The new root endpoint
/is correctly implemented and follows FastAPI conventions. It's a simple endpoint that returns a "Hello world!" message, which can be useful for health checks or verifying that the service is up and running.325-329: The
create_all_cutoutsfunction has been updated to useSAM_CHECKPOINT_PATH_LOWinstead ofSAM_CHECKPOINT_PATH. This change should be verified to ensure that it aligns with the intended use case, as it may affect the performance and accuracy of the model being used.
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@CodiumAI-Agent /review |
PR Analysis
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@CodiumAI-Agent /add docs |
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@CodiumAI-Agent /improve |
PR Code Suggestions💡 Suggestion: The decorator functions in the Stub class are identical. Consider refactoring them into a single function. File: app/dummy_modal.py (2-19) Example code:Existing code: class Stub:
def __init__(self, *args, **kwargs):
pass
def cls(self, *args, **kwargs):
def decorator(cls):
return cls
return decorator
def local_entrypoint(self, *args, **kwargs):
def decorator(func):
return func
return decorator
def function(self, *args, **kwargs):
def decorator(func):
return func
return decoratorImproved code: class Stub:
def __init__(self, *args, **kwargs):
pass
def decorator(self, *args, **kwargs):
def decorator(func):
return func
return decorator
cls = decorator
local_entrypoint = decorator
function = decorator💡 Suggestion: Consider using multi-stage builds to reduce the size of the final Docker image. File: Dockerfile (1-26) Example code:Existing code: # Use an official NVIDIA PyTorch runtime as a parent image
FROM nvcr.io/nvidia/pytorch:22.12-py3
# Add the current directory contents into the container
ADD /app .
# Install any needed packages
RUN apt-get update && \
apt-get install -y git wget libgl1-mesa-glx libglib2.0-0 && \
echo $CUDA_HOME && \
git clone https://github.com/IDEA-Research/GroundingDINO.git && \
pip install -q -e GroundingDINO/ && \
pip install uvicorn && \
mkdir -p app/weights && \
mkdir -p app/data && \
pip uninstall -y supervision && \
pip uninstall -y opencv-python && \
pip install opencv-python==4.8.0.74 && \
pip install -q supervision==0.6.0 && \
wget -q https://github.com/IDEA-Research/GroundingDINO/releases/download/v0.1.0-alpha/groundingdino_swint_ogc.pth -P app/weights/ && \
wget -q https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth -P app/weights/ && \
wget -q https://dl.fbaipublicfiles.com/segment_anything/sam_vit_l_0b3195.pth -P app/weights/ && \
wget -q https://dl.fbaipublicfiles.com/segment_anything/sam_vit_b_01ec64.pth -P app/weights/ && \
wget -q https://media.roboflow.com/notebooks/examples/dog.jpeg -P app/images/ Improved code: # Use an official NVIDIA PyTorch runtime as a parent image
FROM nvcr.io/nvidia/pytorch:22.12-py3 as builder
# Add the current directory contents into the container
ADD /app .
# Install any needed packages
RUN apt-get update && \
apt-get install -y git wget libgl1-mesa-glx libglib2.0-0 && \
echo $CUDA_HOME && \
git clone https://github.com/IDEA-Research/GroundingDINO.git && \
pip install -q -e GroundingDINO/ && \
pip install uvicorn && \
mkdir -p app/weights && \
mkdir -p app/data && \
pip uninstall -y supervision && \
pip uninstall -y opencv-python && \
pip install opencv-python==4.8.0.74 && \
pip install -q supervision==0.6.0 && \
wget -q https://github.com/IDEA-Research/GroundingDINO/releases/download/v0.1.0-alpha/groundingdino_swint_ogc.pth -P app/weights/ && \
wget -q https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth -P app/weights/ && \
wget -q https://dl.fbaipublicfiles.com/segment_anything/sam_vit_l_0b3195.pth -P app/weights/ && \
wget -q https://dl.fbaipublicfiles.com/segment_anything/sam_vit_b_01ec64.pth -P app/weights/ && \
wget -q https://media.roboflow.com/notebooks/examples/dog.jpeg -P app/images/
FROM nvcr.io/nvidia/pytorch:22.12-py3
COPY --from=builder /app /app💡 Suggestion: Consider using COPY instead of ADD for better transparency and to avoid unexpected behavior. File: Dockerfile (7-8) Example code:Existing code: # Add the current directory contents into the container
ADD /app .Improved code: # Copy the current directory contents into the container
COPY ./app /app💡 Suggestion: Consider using environment variables for sensitive data instead of hardcoding them in the docker-compose file. File: docker-compose.yml (12-16) Example code:Existing code: environment:
- AWS_ACCESS_KEY_ID=your_access_key
- AWS_SECRET_ACCESS_KEY=your_secret_key
- AWS_REGION=your_region
- CUTOUT_BUCKET=your_bucketImproved code: environment:
- AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}
- AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}
- AWS_REGION=${AWS_REGION}
- CUTOUT_BUCKET=${CUTOUT_BUCKET} |
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@CodiumAI-Agent /add_docs |
| @@ -0,0 +1,50 @@ | |||
| # dummy_modal.py | |||
| class Stub: | |||
There was a problem hiding this comment.
Suggestion: Proposed documentation
| class Stub: | |
| class Stub: | |
| """ | |
| This is a stub class that provides dummy implementations for various methods. | |
| """ |
| return func | ||
| return decorator | ||
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| class Secret: |
There was a problem hiding this comment.
Suggestion: Proposed documentation
| class Secret: | |
| class Secret: | |
| """ | |
| This is a Secret class that provides a static method 'from_name'. | |
| """ |
| def from_name(*args, **kwargs): | ||
| pass | ||
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| class Mount: |
There was a problem hiding this comment.
Suggestion: Proposed documentation
| class Mount: | |
| class Mount: | |
| """ | |
| This is a Mount class that provides a static method 'from_local_python_packages'. | |
| """ |
| def from_local_python_packages(*args, **kwargs): | ||
| pass | ||
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| class Image: |
There was a problem hiding this comment.
Suggestion: Proposed documentation
| class Image: | |
| class Image: | |
| """ | |
| This is an Image class that provides static and instance methods for handling images. | |
| """ |
| def run_commands(self, *args, **kwargs): | ||
| return self | ||
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| def asgi_app(*args, **kwargs): |
There was a problem hiding this comment.
Suggestion: Proposed documentation
| def asgi_app(*args, **kwargs): | |
| def asgi_app(*args, **kwargs): | |
| """ | |
| This is a decorator function 'asgi_app' that returns the function it decorates. | |
| """ |
| return func | ||
| return decorator | ||
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| def method(*args, **kwargs): |
There was a problem hiding this comment.
Suggestion: Proposed documentation
| def method(*args, **kwargs): | |
| def method(*args, **kwargs): | |
| """ | |
| This is a decorator function 'method' that returns the function it decorates. | |
| """ |
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@CodiumAI-Agent /describe |
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@CodiumAI-Agent /update_changelog |
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@CodiumAI-Agent /generate_labels |
Dockerizing the app to be able to run on a local system instead of just on modal
Summary by CodeRabbit
New Features
dummy_modal.pymodule to handle various application functionalities./that returns a greeting message.Bug Fixes
sam_checkpoint_pathparameter to use the correct path increate_all_cutoutsfunction.Documentation
dummy_modal.pymodule for clarity.Refactor