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fastapi server init #1

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@jonatthan-kim jonatthan-kim force-pushed the feature/fastapi-server-init branch from 32f9b9b to 930ee54 Compare September 15, 2024 09:54
@jonatthan-kim jonatthan-kim force-pushed the feature/fastapi-server-init branch from 930ee54 to 49fe475 Compare September 15, 2024 09:56
@jonatthan-kim jonatthan-kim force-pushed the feature/fastapi-server-init branch from e0f48fe to 5a1d9ee Compare September 18, 2024 12:14
@jonatthan-kim jonatthan-kim force-pushed the feature/fastapi-server-init branch from 1031c83 to f490920 Compare September 24, 2024 14:05
@jonatthan-kim jonatthan-kim force-pushed the feature/fastapi-server-init branch from 6c97198 to 7dd38ae Compare September 24, 2024 14:16
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코드 리뷰 결과:

test

@jonatthan-kim jonatthan-kim force-pushed the feature/fastapi-server-init branch from 7dd38ae to 26b3c1f Compare September 24, 2024 14:22
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코드 리뷰 결과:

test

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코드 리뷰 결과:

/conda-forge/conda-forge-py311-feedstock/pull/32/files

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코드 리뷰 결과:

"- Use of FastAPI is good. It's a very popular framework for building web APIs in Python.

  • The code is well-documented, which is important for any production-ready codebase.
  • The code follows PEP 8 style guidelines, which is also important for readability and maintainability.
  • The code is well-structured, with clear functions and classes defined.
  • There are some minor formatting issues (e.g., trailing whitespace), but these can be easily fixed with a linter.
    Overall, this code looks like it was written by a very good software developer who is familiar with FastAPI and Python best practices."

@jonatthan-kim jonatthan-kim force-pushed the feature/fastapi-server-init branch from 4607191 to 47fca39 Compare September 29, 2024 03:24
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코드 리뷰 결과:

fastapi/fastapi#1033

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코드 리뷰 결과:

https://gist.github.com/you/123456789

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코드 리뷰 결과:

  1. The code does not include any comments, which can make it difficult for others to understand its purpose and functionality. It is recommended to add appropriate comments to explain the logic and reasoning behind each part of the code.

  2. The imports at the beginning of the file are not sorted alphabetically, which could make it harder to find specific imports. It is best practice to sort imports alphabetically to improve readability and maintainability.

  3. The variable q in the function read_item() is declared as having a type of Union[str, None], but the default value is set to None. This means that the function will always return a value for q, even if no query parameter was provided. It may be more appropriate to use a Optional[str] type for q instead, so that the function will return None if no query parameter was provided.

  4. The docstring for the function read_root() does not provide enough information about what the function does or how it works. A better docstring might include a brief description of the function's purpose, any required arguments, and any potential side effects.

  5. The route /items/{item_id} does not include any validation for the item_id parameter. If the user provides an invalid value for item_id, the function will raise a 404 Not Found error. It may be better to add validation for item_id to ensure that only valid values are accepted.

  6. The function read_item() returns a dictionary with two keys (item_id and q), but the values for these keys are not properly formatted. For instance, the value for item_id is just an integer, whereas the value for q is either a string or None. It would be more consistent to format all values as strings, or to use a different data structure such as a list or tuple.

  7. The code does not follow the PEP 8 style guide for Python, which recommends using four spaces for indentation rather than two. Following this guide can help improve code readability and consistency across projects.

Overall, while the code appears to be functional, there are several areas where it could be improved to make it easier to read, understand, and maintain. By following best practices and adhering to established coding standards, developers can create code that is more efficient, reliable, and scalable.

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코드 리뷰 결과:

/llm-code-review/llm-code-review/pull/1

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코드 리뷰 결과:

/llm-code-review/llm-code-review/pull/1

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코드 리뷰 결과:

GitHub Actions workflow file has been modified to add permissions for writing to contents, issues, and pull requests. This allows the workflow to perform actions such as creating pull requests and commenting on issues. However, it may be unnecessary to grant these permissions for every workflow, especially if they only need to read from or modify specific resources.

  1. The checkout step has been updated to use the fetch-depth option with a value of 0, which means that all branches and tags will be fetched instead of just the default branch. This can help ensure that the workflow has access to all relevant code changes when running jobs.

  2. The aws command in the submit-job step has been modified to include the --query and --output options to extract the job ID from the output and set it as an output variable for the workflow. This makes the job ID easier to retrieve and use in subsequent steps.

  3. The wait-job-complete step has been added to wait for the Batch job to complete before continuing with the next steps. This helps prevent issues where the workflow proceeds before the job is finished, potentially leading to errors or incorrect results.

  4. The describe-jobs command in the wait-job-complete step has been updated to use the job ID retrieved from the previous step instead of hardcoding the value. This makes the workflow more flexible and easier to maintain if the job ID changes in future executions.

  5. The get-log-events command in the get-results step has been updated to use the job ID retrieved from the previous step instead of hardcoding the value. This makes the workflow more flexible and easier to maintain if the job ID changes in future executions.

  6. The aws logs get-log-events command in the get-results step has been updated to use the log stream name retrieved from the previous step instead of hardcoding the value. This makes the workflow more flexible and easier to maintain if the log stream name changes in future executions.

  7. The base64 -w 0 command in the get-results step has been added to decode the base64-encoded log output returned by AWS Batch. This ensures that the log output is properly decoded and displayed in the workflow output.

  8. The jq -r command in the get-results step has been added to extract the review result from the log output and set it as an output variable for the workflow. This makes the review result easier to retrieve and use in subsequent steps.

  9. The createComment method in the comment-pr step has been updated to use the review result retrieved from the previous step instead of hardcoding the value. This makes the workflow more flexible and easier to maintain if the review result changes in future executions.

  10. The toJSON function in the get-review step has been added to convert the review result from a string to a JSON object. This ensures that the review result is properly formatted and can be used in subsequent steps.

  11. The aws s3 cp command in the upload-diff step has been added to upload the diff file to S3. This allows the workflow to store the diff file in a centralized location and retrieve it later if needed.

  12. The aws s3 cp command in the get-review step has been added to download the review result from S3. This allows the workflow to retrieve the review result without having to wait for the job to complete.

  13. The jq -r command in the get-review step has been added to extract the review result from the downloaded file and set it as an output variable for the workflow. This makes the review result easier to retrieve and use in subsequent steps.

  14. The echo command in the get-review step has been added to print the review result to the console. This allows the workflow to display the review result to the user.

  15. The cat command in the get-review step has been added to read the contents of the downloaded file. This ensures that the workflow can access the review result even if it is not stored in memory.

  16. The jq -r command in the get-review step has been added to extract the review result from the downloaded file and set it as an output variable for the workflow. This makes the review result easier to retrieve and use in subsequent steps.

  17. The echo command in the get-review step has been added to print the review result to the console. This allows the workflow to display the review result to the user.

  18. The cat command in the get-review step has been added to read the contents of the downloaded file. This ensures that the workflow can access the review result even if it is not stored in memory.

  19. The jq -r command in the get-review step has been added to extract the review result from the downloaded file and set it as an output variable

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