Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

fix: Update package versions in requirements.txt #120

Merged
merged 1 commit into from
Jan 20, 2025

Conversation

amindadgar
Copy link
Member

@amindadgar amindadgar commented Jan 20, 2025

Summary by CodeRabbit

  • Dependencies
    • Updated package versions for async-sqlalchemy, python-pptx, google-api-python-client, and unstructured
    • Added pydantic package with version 2.9.2
    • Removed llama-index-vector-stores-postgres package

Copy link
Contributor

coderabbitai bot commented Jan 20, 2025

Walkthrough

This pull request focuses on updating the requirements.txt file to implement more precise dependency management. The changes involve specifying exact versions for several Python packages, including async-sqlalchemy, python-pptx, google-api-python-client, and unstructured. Additionally, the package pydantic was added with a specific version, while llama-index-vector-stores-postgres was removed from the requirements.

Changes

File Change Summary
requirements.txt - Updated async-sqlalchemy to v1.0.0
- Updated python-pptx to v1.0.2
- Updated google-api-python-client to v2.156.0
- Updated unstructured to v0.16.11
- Added pydantic==2.9.2
- Removed llama-index-vector-stores-postgres

Possibly related PRs

Poem

🐰 Dependency dance, versions precise,
Packages aligned, our code so nice!
Removing the old, bringing in the new,
Requirements tight, our project's true blue
Rabbit's version control, a magical view! 📦✨


📜 Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between fec8496 and 83a3a18.

📒 Files selected for processing (1)
  • requirements.txt (2 hunks)
⏰ Context from checks skipped due to timeout of 90000ms (2)
  • GitHub Check: ci / lint / Lint
  • GitHub Check: ci / test / Test
🔇 Additional comments (6)
requirements.txt (6)

Line range hint 1-21: Ensure comprehensive testing with updated dependencies.

This PR updates multiple package versions, including some major changes. Please ensure:

  1. All tests pass with the new versions
  2. The application has been tested in a staging environment
  3. There are no conflicts between the updated packages

4-4: Verify python-pptx version compatibility.

Let's check if version 1.0.2 is the latest stable release.

✅ Verification successful

python-pptx version 1.0.2 is appropriate

The specified version is the latest stable release from PyPI, published on August 7, 2024.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Check PyPI for latest versions and any known issues
curl -s https://pypi.org/pypi/python-pptx/json | jq -r '.releases | keys_unsorted[-5:] as $versions | $versions[] as $v | "\($v): \(.[$v][0].upload_time)"'

Length of output: 292


3-3: Verify async-sqlalchemy version compatibility.

The specified version 1.0.0 might be outdated. Consider checking for newer versions with potential bug fixes and security updates.


7-7: Consider stability implications of unstructured package.

The package is still in pre-1.0 version (0.16.11). Be aware that pre-1.0 versions might introduce breaking changes in minor version updates.


20-20: Verify pydantic v2 compatibility with other dependencies.

Pydantic v2 introduces significant changes from v1. Please ensure all dependent packages are compatible with Pydantic v2.

✅ Verification successful

Pydantic v2 upgrade is safe to proceed

The codebase uses basic Pydantic features that are fully compatible with v2. No deprecated features or v1-specific patterns were found in the implementation.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for pydantic imports in the codebase
rg -l 'from pydantic import|import pydantic'

Length of output: 130


Script:

#!/bin/bash
# Check pydantic usage patterns
echo "=== Checking BaseModel usage ==="
rg "class.*\(.*BaseModel.*\)" -A 5

echo -e "\n=== Checking Field usage ==="
rg "Field\(" -A 2

echo -e "\n=== Checking Config classes ==="
rg "class Config" -A 3

echo -e "\n=== Checking common validators ==="
rg "@validator|@root_validator" -A 3

Length of output: 1946


6-6: Verify Google API client compatibility with your use cases.

Version 2.156.0 is quite specific. Please ensure this version supports all the Google API features you're using in the project.

✅ Verification successful

Minor version update should be compatible

The update from 2.156.0 to 2.159.0 is a minor version change that should maintain backward compatibility. The codebase shows minimal Google Drive integration through a query engine wrapper, and no specific version-dependent features were found.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Check latest versions and changelog
curl -s https://pypi.org/pypi/google-api-python-client/json | jq -r '.info.version'

Length of output: 91


Script:

#!/bin/bash
# Search for Google API imports and service initialization
rg "from googleapiclient" -B 1 -A 3
rg "build\(['\"].*['\"],.*['\"].*v.*['\"]\)" --type py

Length of output: 102


Script:

#!/bin/bash
# Broader search for Google API related code
rg "google" --type py -l
rg "google" --type yaml -l
rg "google" --type json -l

Length of output: 268


Script:

#!/bin/bash
# Check content of files with Google API usage
echo "=== Content of utils/query_engine/gdrive.py ==="
cat utils/query_engine/gdrive.py

echo -e "\n=== Content of subquery.py ==="
cat subquery.py

Length of output: 10134


Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media?

❤️ Share
🪧 Tips

Chat

There are 3 ways to chat with CodeRabbit:

  • Review comments: Directly reply to a review comment made by CodeRabbit. Example:
    • I pushed a fix in commit <commit_id>, please review it.
    • Generate unit testing code for this file.
    • Open a follow-up GitHub issue for this discussion.
  • Files and specific lines of code (under the "Files changed" tab): Tag @coderabbitai in a new review comment at the desired location with your query. Examples:
    • @coderabbitai generate unit testing code for this file.
    • @coderabbitai modularize this function.
  • PR comments: Tag @coderabbitai in a new PR comment to ask questions about the PR branch. For the best results, please provide a very specific query, as very limited context is provided in this mode. Examples:
    • @coderabbitai gather interesting stats about this repository and render them as a table. Additionally, render a pie chart showing the language distribution in the codebase.
    • @coderabbitai read src/utils.ts and generate unit testing code.
    • @coderabbitai read the files in the src/scheduler package and generate a class diagram using mermaid and a README in the markdown format.
    • @coderabbitai help me debug CodeRabbit configuration file.

Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments.

CodeRabbit Commands (Invoked using PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger an incremental review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai full review to do a full review from scratch and review all the files again.
  • @coderabbitai summary to regenerate the summary of the PR.
  • @coderabbitai generate docstrings to generate docstrings for this PR. (Beta)
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai configuration to show the current CodeRabbit configuration for the repository.
  • @coderabbitai help to get help.

Other keywords and placeholders

  • Add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.
  • Add @coderabbitai summary to generate the high-level summary at a specific location in the PR description.
  • Add @coderabbitai anywhere in the PR title to generate the title automatically.

CodeRabbit Configuration File (.coderabbit.yaml)

  • You can programmatically configure CodeRabbit by adding a .coderabbit.yaml file to the root of your repository.
  • Please see the configuration documentation for more information.
  • If your editor has YAML language server enabled, you can add the path at the top of this file to enable auto-completion and validation: # yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json

Documentation and Community

  • Visit our Documentation for detailed information on how to use CodeRabbit.
  • Join our Discord Community to get help, request features, and share feedback.
  • Follow us on X/Twitter for updates and announcements.

@amindadgar amindadgar merged commit 64b74e3 into main Jan 20, 2025
14 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant