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

Add function description: apply_type_map #646

Merged
merged 1 commit into from
Apr 25, 2024

Conversation

dulinhan
Copy link
Contributor

Add function description on system.py/check_type_map

Copy link

coderabbitai bot commented Apr 25, 2024

Walkthrough

Walkthrough

The recent updates across various files primarily focus on enhancing version control, workflow automation, and integration of new functionalities in Python packages. Key changes include the introduction of metadata tracking for Git, updates to GitHub Actions workflows for improved dependency management and Python setup, and enhancements in Python code for better compatibility and testing with the pymatgen library.

Changes

Files Change Summary
.git_archival.txt, .gitattributes Introduced metadata tracking for Git commits and applied export-subst attribute to .git_archival.txt.
.github/workflows/test.yml, .github/workflows/test_import.yml Updated GitHub Actions to use newer versions for code checkout and Python setup. Modified dependency installation processes, including a new package and a script run from a URL.
.pre-commit-config.yaml Updated versions of pre-commit hooks to enhance code quality checks.
dpdata/.../pymatgen.py, dpdata/pymatgen/structure.py, tests/test_from_pymatgen.py, tests/test_to_pymatgen.py Enhanced integration with pymatgen library, including new methods and tests for converting structures between formats.
dpdata/system.py, pyproject.toml Added documentation and updated dependency versions to support newer functionalities.

Recent Review Details

Configuration used: CodeRabbit UI
Review profile: CHILL

Commits Files that changed from the base of the PR and between 658a511 and 1eb3a99.
Files selected for processing (11)
  • .git_archival.txt (1 hunks)
  • .gitattributes (1 hunks)
  • .github/workflows/test.yml (1 hunks)
  • .github/workflows/test_import.yml (1 hunks)
  • .pre-commit-config.yaml (2 hunks)
  • dpdata/plugins/pymatgen.py (1 hunks)
  • dpdata/pymatgen/structure.py (1 hunks)
  • dpdata/system.py (1 hunks)
  • pyproject.toml (1 hunks)
  • tests/test_from_pymatgen.py (1 hunks)
  • tests/test_to_pymatgen.py (2 hunks)
Additional Context Used
LanguageTool (10)
.git_archival.txt (10)

Near line 1: This sentence does not start with an uppercase letter.
Context: node: $Format:%H$ node-date: $Format:%cI$ de...


Near line 1: Possible spelling mistake found.
Context: node: $Format:%H$ node-date: $Format:%cI$ describe-na...


Near line 1: Possible spelling mistake found.
Context: node: $Format:%H$ node-date: $Format:%cI$ describe-name: ...


Near line 2: Possible spelling mistake found.
Context: node: $Format:%H$ node-date: $Format:%cI$ describe-name: $Format:%(describe:...


Near line 2: Possible spelling mistake found.
Context: node: $Format:%H$ node-date: $Format:%cI$ describe-name: $Format:%(describe:tags=...


Near line 3: Possible spelling mistake found.
Context: ... node-date: $Format:%cI$ describe-name: $Format:%(describe:tags=true,match=[0-9])$ re...


Near line 3: Put a space after the comma.
Context: ...cribe-name: $Format:%(describe:tags=true,match=[0-9])$ ref-names: $Format:%D$


Near line 3: A punctuation mark might be missing here.
Context: ...mat:%(describe:tags=true,match=[0-9])$ ref-names: $Format:%D$


Near line 4: Possible spelling mistake found.
Context: ...be:tags=true,match=[0-9])$ ref-names: $Format:%D$


Near line 4: Possible spelling mistake found.
Context: ...true,match=[0-9])$ ref-names: $Format:%D$

Additional comments not posted (15)
.gitattributes (1)

1-1: The configuration for .git_archival.txt using export-subst is correctly implemented.

.git_archival.txt (1)

1-4: The Git placeholders in .git_archival.txt are correctly used for export substitutions.

.github/workflows/test_import.yml (2)

11-12: Updated GitHub actions to newer versions, which is a good practice for maintaining compatibility and security.


16-17: The command python -m uv pip install --system . seems incorrect. Please verify if uv is intended to be used here or if it's a typo.

dpdata/pymatgen/structure.py (1)

9-24: The function from_system_data correctly and efficiently converts a pymatgen structure to a dictionary format. Good use of Pythonic practices and numpy for data handling.

tests/test_to_pymatgen.py (2)

8-8: Updated import statement to correctly import Structure from pymatgen.core.


22-22: Correct use of named arguments in the to method enhances readability and ensures the correct parameters are used.

tests/test_from_pymatgen.py (2)

8-8: Correct import statement for Structure from pymatgen.core.


18-22: Proper initialization of dpdata.System instances from a pymatgen structure and a file in the test setup method.

.pre-commit-config.yaml (2)

5-5: Updated version of pre-commit/pre-commit-hooks to v4.6.0, which likely includes improvements and bug fixes.


22-22: Updated version of astral-sh/ruff-pre-commit to v0.4.1, enhancing the linting capabilities.

.github/workflows/test.yml (2)

15-18: Updated GitHub actions to newer versions, ensuring up-to-date features and security improvements.


21-23: Please verify the usage of uv in the installation command. If it is an intended tool or alias, ensure it is documented or known among the team.

pyproject.toml (1)

2-2: Updated setuptools_scm[toml] version from 6.2 to 7. Ensure compatibility with other project dependencies.

dpdata/plugins/pymatgen.py (1)

10-25: Added method from_system to convert pymatgen.core.Structure to a dictionary. Documentation is clear and concise.

Ensure the dpdata.pymatgen.structure.from_system_data(structure) function is correctly implemented and efficient.


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>.
    • 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 generate interesting stats about this repository and render them as a table.
    • @coderabbitai show all the console.log statements in this repository.
    • @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.

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 as PR comments)

  • @coderabbitai pause to pause the reviews on a PR.
  • @coderabbitai resume to resume the paused reviews.
  • @coderabbitai review to trigger a review. This is useful when automatic reviews are disabled for the repository.
  • @coderabbitai resolve resolve all the CodeRabbit review comments.
  • @coderabbitai help to get help.

Additionally, you can add @coderabbitai ignore anywhere in the PR description to prevent this PR from being reviewed.

CodeRabbit Configration 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.

@dulinhan dulinhan changed the base branch from master to devel April 25, 2024 18:14
Copy link

@coderabbitai coderabbitai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Actionable comments posted: 0

Out of diff range and nitpick comments (1)
dpdata/system.py (1)

520-528: The new docstring for apply_type_map enhances the understanding of its functionality. It is well-written and clear. However, consider adding more detail about what the type_map parameter expects (e.g., format, typical values) to aid users further.

Copy link

codecov bot commented Apr 25, 2024

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 83.67%. Comparing base (95241b3) to head (1eb3a99).

Additional details and impacted files
@@           Coverage Diff           @@
##            devel     #646   +/-   ##
=======================================
  Coverage   83.67%   83.67%           
=======================================
  Files          80       80           
  Lines        7006     7006           
=======================================
  Hits         5862     5862           
  Misses       1144     1144           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

@robinzyb robinzyb merged commit f69f6d4 into deepmodeling:devel Apr 25, 2024
9 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.

2 participants