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Add Patch File Generation to AI Bot #4
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Rollback Files For Sweep
|
2 tasks
vivasvan1
reviewed
Oct 7, 2023
main.py
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from utils.github_utils import ( | ||
USAGE_LIMIT, | ||
increment_usage_limit, | ||
is_rate_limit_reached, | ||
reset_usage_limits, | ||
run_query, | ||
) |
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fix the import inside import
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🚀 Wrote Changes
fix the import inside import
Hi @vivasvan1,
I decided to make the following changes:
File Path | Proposed Changes |
---|---|
main.py |
Modify main.py with contents: The user left a comment in this chunk of code: <review_code_chunk> USAGE_LIMIT, increment_usage_limit, is_rate_limit_reached, reset_usage_limits, from utils.github_utils import ( USAGE_LIMIT, increment_usage_limit, is_rate_limit_reached, reset_usage_limits, run_query, ) <<<< COMMENT: fix the import inside import <<<< ) app = Flask(name) openai.api_key = OPENAI_API_KEY # Initialize logging logging.basicConfig(level=logging.INFO) </review_code_chunk>. Resolve their comment. |
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PR Feedback: 👎
Description
This PR adds the functionality to generate a patch file along with the AI response in the AI bot. A patch file contains the differences between the original code and the code after applying the AI's suggestions. This allows developers to easily see the changes suggested by the AI and apply them to the codebase.
Summary of Changes
run_query
function inutils/github_utils.py
to return a tuple containing the AI response and the patch file.difflib
module to generate the patch file by comparing the original code and the modified code.solve_problem
function inmain.py
to handle the patch file returned by therun_query
function.These changes enhance the AI bot by providing developers with a clear and actionable suggestion in the form of a patch file. This makes it easier for developers to understand and apply the AI's suggestions to the codebase.
Fixes #2.
🎉 Latest improvements to Sweep:
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