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Add mzid plugin #102

Merged
merged 1 commit into from
Nov 10, 2024
Merged

Add mzid plugin #102

merged 1 commit into from
Nov 10, 2024

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yueqixuan
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@yueqixuan yueqixuan commented Oct 29, 2024

User description

Plugin Update:generate reports using mzid and mgf (mzML) data.


PR Type

enhancement, documentation


Description

  • Added support for processing mzid and mgf files in the pmultiqc plugin.
  • Introduced a new command-line option --mzid_plugin to enable mzid data extraction.
  • Enhanced the quantms module to handle mzid data, including new plots and data handling.
  • Updated GitHub Actions workflows to use the latest versions of actions.
  • Documented the new --mzid_plugin option in the README.

PRDescriptionHeader.CHANGES_WALKTHROUGH

Relevant files
Enhancement
cli.py
Add `mzid_plugin` command-line option                                       

pmultiqc/cli.py

  • Added a new command-line option --mzid_plugin.
+1/-0     
main.py
Enhance plugin to support mzid and mgf data                           

pmultiqc/main.py

  • Added support for mzid and mgf file processing.
  • Implemented new functions for mzid data parsing and heatmap score
    calculation.
  • Updated existing functions to handle mzid data.
  • +6/-0     
    quantms.py
    Integrate mzid and mgf data processing in quantms module 

    pmultiqc/modules/quantms/quantms.py

  • Integrated mzid and mgf data processing.
  • Added new plots and data handling for mzid plugin.
  • Refactored existing code to accommodate mzid data.
  • +591/-152
    setup.py
    Add `mzid_plugin` entry point in setup                                     

    setup.py

    • Added mzid_plugin entry point.
    +2/-1     
    Configuration changes
    python-app.yml
    Update GitHub Actions to latest versions                                 

    .github/workflows/python-app.yml

    • Updated GitHub Actions to use newer versions of actions.
    +5/-5     
    python-package.yml
    Update GitHub Actions to latest versions                                 

    .github/workflows/python-package.yml

    • Updated GitHub Actions to use newer versions of actions.
    +2/-2     
    python-publish.yml
    Update GitHub Actions to latest versions                                 

    .github/workflows/python-publish.yml

    • Updated GitHub Actions to use newer versions of actions.
    +2/-2     
    Documentation
    README.md
    Document `mzid_plugin` option in README                                   

    README.md

    • Documented the new --mzid_plugin option.
    +1/-0     

    💡 PR-Agent usage: Comment /help "your question" on any pull request to receive relevant information

    Summary by CodeRabbit

    Release Notes

    • New Features

      • Added --mzid_plugin command-line option for the pmultiqc tool to generate reports from mzid and mzML/mgf files.
      • Enhanced data handling capabilities in the QuantMSModule for processing additional file formats (MGF and mzid).
    • Improvements

      • Updated GitHub Actions workflows to utilize the latest versions, improving efficiency and reliability.
    • Documentation

      • Updated README.md to reflect the new command-line parameter for enhanced user guidance.

    Copy link

    coderabbitai bot commented Oct 29, 2024

    Walkthrough

    The pull request introduces updates across several workflow files and code modules for a Python application. Key changes include upgrading GitHub Actions to newer versions in multiple workflow files, adding a new command-line parameter --mzid_plugin to enhance functionality, and significant modifications to the QuantMSModule class to support additional file types and improve data processing. The setup.py file has also been updated to register the new command-line option as a plugin, ensuring integration with the MultiQC framework.

    Changes

    File Change Summary
    .github/workflows/python-app.yml Updated actions/checkout from v2 to v4, actions/setup-python from v2 to v4, and actions/upload-artifact from v1 to v4 (three instances).
    .github/workflows/python-package.yml Updated actions/checkout from v2 to v4 and actions/setup-python from v2 to v4.
    .github/workflows/python-publish.yml Updated actions/checkout from v3 to v4 and actions/setup-python from v3 to v4.
    README.md Added --mzid_plugin parameter to usage section for pmultiqc library.
    pmultiqc/cli.py Added --mzid_plugin option using click.option.
    pmultiqc/main.py Added checks for quantms/mgf and quantms/mzid patterns in pmultiqc_plugin_execution_start.
    pmultiqc/modules/quantms/quantms.py Extensive modifications to QuantMSModule, including new methods for handling MGF and mzid files, and enhancements to data processing logic.
    setup.py Added entry point 'mzid_plugin = pmultiqc.cli:mzid_plugin' to multiqc.cli_options.v1.

    Poem

    In the garden of code, where rabbits play,
    New features bloom in a bright array.
    With --mzid_plugin, reports take flight,
    Upgraded workflows shine so bright!
    Hopping through changes, we cheer with glee,
    For every new line, a joy to see! 🐇✨


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    PR Reviewer Guide 🔍

    Here are some key observations to aid the review process:

    ⏱️ Estimated effort to review: 4 🔵🔵🔵🔵⚪
    🧪 No relevant tests
    🔒 No security concerns identified
    ⚡ Recommended focus areas for review

    Code Complexity
    The quantms.py file has been significantly expanded with new functionality for handling mzid and mgf files. The added complexity may make the code harder to maintain and debug. Consider refactoring some of the new functionality into separate methods or classes.

    Error Handling
    The new mzid parsing functionality lacks comprehensive error handling. Consider adding try-except blocks to handle potential errors when parsing mzid files, especially in the parse_out_mzid method.

    Performance Concern
    The parse_out_mgf method processes large amounts of data in memory. For very large MGF files, this could lead to memory issues. Consider implementing a streaming approach or processing the data in chunks.

    Copy link

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    PR Code Suggestions ✨

    Explore these optional code suggestions:

    CategorySuggestion                                                                                                                                    Score
    Performance
    Use a more efficient data structure for storing unique enzyme names

    Consider using a more efficient data structure, such as a set, for enzyme_list to
    avoid duplicate entries and improve performance when checking for uniqueness.

    pmultiqc/modules/quantms/quantms.py [1146-1161]

    -enzyme_list = list()
    +enzyme_set = set()
     for mzid_path in self.mzid_paths:
         try:
             enzyme_iter = mzid.MzIdentML(mzid_path).iterfind("Enzyme")
             enzyme = next(enzyme_iter).get("EnzymeName", None)
             if enzyme:
    -            enzyme_name = list(enzyme.keys())[0]
    +            enzyme_name = next(iter(enzyme.keys()))
             else:
                 enzyme_name = "Trypsin"
    -        enzyme_list.append(enzyme_name)
    +        enzyme_set.add(enzyme_name)
         except StopIteration:
    -        enzyme_list.append("Trypsin")
    +        enzyme_set.add("Trypsin")
     
    -enzyme_list = list(set(enzyme_list))
    -enzyme = enzyme_list[0] if len(enzyme_list) == 1 else "Trypsin"
    +enzyme = next(iter(enzyme_set)) if len(enzyme_set) == 1 else "Trypsin"
    • Apply this suggestion
    Suggestion importance[1-10]: 8

    Why: The suggestion to use a set for storing unique enzyme names is appropriate and improves performance by avoiding duplicates. The 'improved_code' accurately reflects this change, making it a valuable enhancement.

    8
    Best practice
    Specify precise versions for GitHub Actions to improve workflow stability and reproducibility

    Consider specifying a more precise version for the actions/checkout and
    actions/setup-python actions, such as using the full version number (e.g., v4.1.0)
    instead of just the major version (v4). This ensures better reproducibility and
    stability of your workflow.

    .github/workflows/python-package.yml [22-24]

    -- uses: actions/checkout@v4
    +- uses: actions/[email protected]
     - name: Set up Python ${{ matrix.python-version }}
    -  uses: actions/setup-python@v4
    +  uses: actions/[email protected]
    • Apply this suggestion
    Suggestion importance[1-10]: 8

    Why: Specifying precise versions for GitHub Actions can significantly enhance the stability and reproducibility of the workflow by preventing unexpected changes due to updates in the actions. This suggestion is relevant and beneficial for maintaining a reliable CI/CD pipeline.

    8
    Use specific versions for GitHub Actions in the publishing workflow to enhance stability

    Similar to the python-package.yml file, consider specifying more precise versions
    for the GitHub Actions used in this workflow to ensure better reproducibility and
    stability.

    .github/workflows/python-publish.yml [24-26]

    -- uses: actions/checkout@v4
    +- uses: actions/[email protected]
     - name: Set up Python
    -  uses: actions/setup-python@v4
    +  uses: actions/[email protected]
    • Apply this suggestion
    Suggestion importance[1-10]: 8

    Why: Similar to the first suggestion, using specific versions for GitHub Actions in the publishing workflow can improve stability and reproducibility. This is a sound recommendation for ensuring consistent behavior in the CI/CD process.

    8
    Improve variable naming for better code readability

    Consider using a more descriptive variable name instead of 'm' in the loop that
    parses MGF files. This will improve code readability and maintainability.

    pmultiqc/modules/quantms/quantms.py [2046-2051]

    -for m in self.mgf_paths:
    -    log.info("{}: Parsing MGF file {}...".format(datetime.now().strftime("%H:%M:%S"), m))
    -    mgf_data = mgf.MGF(m)
    -    log.info("{}: Done parsing MGF file {}...".format(datetime.now().strftime("%H:%M:%S"), m))
    -    m = self.file_prefix(m)
    -    log.info("{}: Aggregating MGF file {}...".format(datetime.now().strftime("%H:%M:%S"), m))
    +for mgf_path in self.mgf_paths:
    +    log.info("{}: Parsing MGF file {}...".format(datetime.now().strftime("%H:%M:%S"), mgf_path))
    +    mgf_data = mgf.MGF(mgf_path)
    +    log.info("{}: Done parsing MGF file {}...".format(datetime.now().strftime("%H:%M:%S"), mgf_path))
    +    mgf_prefix = self.file_prefix(mgf_path)
    +    log.info("{}: Aggregating MGF file {}...".format(datetime.now().strftime("%H:%M:%S"), mgf_prefix))
    • Apply this suggestion
    Suggestion importance[1-10]: 7

    Why: The suggestion to use a more descriptive variable name enhances code readability and maintainability. The 'improved_code' correctly implements this change, making it a beneficial improvement.

    7
    Enhancement
    Enhance documentation by providing usage examples for new features

    Consider providing a brief explanation or example of how to use the new
    --mzid_plugin option, similar to the explanations given for other options. This
    would help users understand its purpose and usage more clearly.

    README.md [36]

    -- --mzid_plugin: Generate reports based on mzid and mzML/mgf
    +- --mzid_plugin: Generate reports based on mzid and mzML/mgf files. Example: `multiqc --mzid_plugin path/to/mzid_file path/to/mzml_or_mgf_file`
    • Apply this suggestion
    Suggestion importance[1-10]: 7

    Why: Providing usage examples for new features in documentation helps users understand how to use them effectively. This suggestion improves the clarity and usability of the documentation, making it a valuable enhancement.

    7
    Use f-strings for more readable and efficient string formatting

    Consider using f-strings for string formatting instead of the older .format()
    method. This will make the code more readable and potentially more efficient.

    pmultiqc/modules/quantms/quantms.py [2047-2051]

    -log.info("{}: Parsing MGF file {}...".format(datetime.now().strftime("%H:%M:%S"), m))
    +log.info(f"{datetime.now().strftime('%H:%M:%S')}: Parsing MGF file {m}...")
     mgf_data = mgf.MGF(m)
    -log.info("{}: Done parsing MGF file {}...".format(datetime.now().strftime("%H:%M:%S"), m))
    +log.info(f"{datetime.now().strftime('%H:%M:%S')}: Done parsing MGF file {m}...")
     m = self.file_prefix(m)
    -log.info("{}: Aggregating MGF file {}...".format(datetime.now().strftime("%H:%M:%S"), m))
    +log.info(f"{datetime.now().strftime('%H:%M:%S')}: Aggregating MGF file {m}...")
    • Apply this suggestion
    Suggestion importance[1-10]: 6

    Why: The suggestion to use f-strings for string formatting is valid and improves code readability. The 'improved_code' accurately implements this change, providing a slight enhancement in readability and efficiency.

    6

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    Actionable comments posted: 3

    🧹 Outside diff range and nitpick comments (3)
    .github/workflows/python-package.yml (1)

    Line range hint 1-41: Consider these workflow improvements.

    While the current workflow is functional, here are some suggestions to enhance it:

    1. Add caching for pip dependencies to speed up builds
    2. Consider adding Python 3.10 to the test matrix for better version coverage
    3. Add test coverage reporting

    Here's how you can implement these improvements:

        strategy:
          fail-fast: false
          matrix:
    -       python-version: [3.8, 3.9, 3.11]
    +       python-version: [3.8, 3.9, 3.10, 3.11]
    
        steps:
        - uses: actions/checkout@v4
        - name: Set up Python ${{ matrix.python-version }}
          uses: actions/setup-python@v4
          with:
            python-version: ${{ matrix.python-version }}
    +   - name: Cache pip packages
    +     uses: actions/cache@v3
    +     with:
    +       path: ~/.cache/pip
    +       key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
    +       restore-keys: |
    +         ${{ runner.os }}-pip-
        - name: Install dependencies
          run: |
            python -m pip install --upgrade pip
    -       python -m pip install flake8 pytest
    +       python -m pip install flake8 pytest pytest-cov
            if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
        - name: Test with pytest
          run: |
            python setup.py install
    -       python tests/test_proteomicslfq.py
    +       pytest tests/test_proteomicslfq.py --cov=. --cov-report=xml
    +   - name: Upload coverage reports
    +     uses: codecov/codecov-action@v3
    +     with:
    +       fail_ci_if_error: true
    pmultiqc/main.py (1)

    46-51: Consider documentation and consistency improvements.

    1. Consider adding comments explaining the purpose of these new patterns, similar to how some other MultiQC modules document their patterns.
    2. For consistency with the quantms/exp_design and quantms/diann_report patterns, consider explicitly setting the shared flag.

    Here's a suggested improvement:

         if 'quantms/mgf' not in config.sp:
    -        config.update_dict(config.sp, {'quantms/mgf': {'fn': '*.mgf', 'num_lines': 0}})
    +        config.update_dict(config.sp, {'quantms/mgf': {'fn': '*.mgf', 'num_lines': 0, 'shared': False}})
    
         if 'quantms/mzid' not in config.sp:
    -        config.update_dict(config.sp, {'quantms/mzid': {'fn': '*.mzid', 'num_lines': 0}})
    +        # Pattern for mzIdentML files containing peptide/protein identification results
    +        config.update_dict(config.sp, {'quantms/mzid': {'fn': '*.mzid', 'num_lines': 0, 'shared': False}})
    README.md (1)

    36-36: Enhance documentation for the mzid plugin feature.

    The documentation for the new --mzid_plugin parameter needs more detail to match the thoroughness of other features. Consider adding:

    1. A brief explanation of mzid/mgf file formats and their purpose
    2. Expected file structure and location requirements
    3. Example usage with sample command
    4. Any prerequisites or dependencies specific to mzid processing
    5. Description of the generated report contents and metrics
    6. Links to example reports (similar to other features)

    This will help users understand and effectively use this new feature.

    📜 Review details

    Configuration used: CodeRabbit UI
    Review profile: CHILL

    📥 Commits

    Files that changed from the base of the PR and between d2965ef and 086dc98.

    📒 Files selected for processing (8)
    • .github/workflows/python-app.yml (4 hunks)
    • .github/workflows/python-package.yml (1 hunks)
    • .github/workflows/python-publish.yml (1 hunks)
    • README.md (1 hunks)
    • pmultiqc/cli.py (1 hunks)
    • pmultiqc/main.py (1 hunks)
    • pmultiqc/modules/quantms/quantms.py (14 hunks)
    • setup.py (1 hunks)
    🧰 Additional context used
    🪛 Ruff
    pmultiqc/modules/quantms/quantms.py

    1151-1154: Use ternary operator enzyme_name = list(enzyme.keys())[0] if enzyme else 'Trypsin' instead of if-else-block

    Replace if-else-block with enzyme_name = list(enzyme.keys())[0] if enzyme else 'Trypsin'

    (SIM108)

    🔇 Additional comments (9)
    .github/workflows/python-publish.yml (2)

    24-24: LGTM! Good job upgrading to the latest GitHub Actions versions.

    The upgrades to actions/checkout@v4 and actions/setup-python@v4 improve security and reliability while maintaining backward compatibility.

    Also applies to: 26-26


    24-24: Consider pinning exact versions for better reproducibility.

    While using major versions (v4) works, consider pinning to exact versions (using SHA or full version number) to ensure consistent behavior across builds.

    Example:

    -    - uses: actions/checkout@v4
    +    - uses: actions/checkout@8ade135a41bc03ea155e62e844d188df1ea18608 # v4.1.0
    -      uses: actions/setup-python@v4
    +      uses: actions/setup-python@65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236 # v4.7.1

    Also applies to: 26-26

    ✅ Verification successful

    Action required: Update GitHub Actions to use pinned versions for better reproducibility

    The verification confirms that both actions have recent releases. Here's the recommended update using the latest stable versions:

    -    - uses: actions/checkout@v4
    +    - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.2.2
    -      uses: actions/setup-python@v4
    +      uses: actions/setup-python@0a5c61591373683505ea898e09a3ea4f39ef2b9c # v5.3.0

    .github/workflows/python-publish.yml: Update both actions to use SHA-pinned versions

    • actions/checkout: Pin to v4.2.2 (released 2024-10-23)
    • actions/setup-python: Pin to v5.3.0 (released 2024-10-24)
    🏁 Scripts executed

    The following scripts were executed for the analysis:

    Script:

    #!/bin/bash
    # Description: Verify the latest versions and any known issues
    
    # Test: Check the latest releases and their dates
    gh release list --repo actions/checkout --limit 5
    gh release list --repo actions/setup-python --limit 5
    

    Length of output: 479

    .github/workflows/python-package.yml (1)

    22-22: LGTM! Good job upgrading the GitHub Actions.

    The upgrade to v4 for both actions/checkout and actions/setup-python actions is a positive change that brings:

    • Enhanced security features
    • Improved performance
    • Better compatibility with GitHub's latest features

    Also applies to: 24-24

    pmultiqc/cli.py (1)

    38-38: LGTM! The implementation follows the established patterns.

    The new --mzid_plugin option is correctly implemented using the click library and follows the same pattern as other options in the file.

    .github/workflows/python-app.yml (2)

    18-18: LGTM! Good upgrade to latest GitHub Actions versions.

    The upgrade of actions/checkout and actions/setup-python to v4 brings important security fixes and performance improvements. The changes are also consistently applied across other workflow files.

    Also applies to: 20-20


    44-44: Verify artifact upload size limits with v4.

    The upgrade from actions/upload-artifact@v1 to v4 is a significant improvement. However, since this workflow handles multiple datasets (LFQ, TMT, DIA), please ensure that the generated artifacts stay within GitHub's storage limits.

    Let's check the typical size of these artifacts:

    Also applies to: 56-56, 68-68

    pmultiqc/main.py (1)

    46-51: LGTM! The new search patterns are correctly implemented.

    The addition of .mgf and .mzid file patterns follows the existing pattern structure and aligns well with the plugin's objectives.

    setup.py (2)

    Line range hint 22-40: Consider updating package dependencies for mzID support.

    While pyteomics is already included for general proteomics file handling, you might want to specify a minimum version requirement if specific features are needed for mzID processing.

    Let's check the pyteomics version requirements in similar projects:

    #!/bin/bash
    # Description: Check pyteomics version requirements in similar projects
    # Expected: Find common version constraints for mzID support
    
    # Search for pyteomics in requirements files
    rg -g "requirements*.txt" -g "setup.py" "pyteomics"

    55-56: LGTM! Entry point addition follows established patterns.

    The new mzid_plugin entry point is correctly added to the MultiQC CLI options, following the same pattern as other CLI options in the file.

    Let's verify the CLI implementation:

    ✅ Verification successful

    CLI implementation for mzid_plugin is properly defined

    The mzid_plugin entry point is correctly implemented in pmultiqc/cli.py as a Click option with appropriate help text. The implementation matches the entry point defined in setup.py:

    • Defined as mzid_plugin = click.option('--mzid_plugin', 'mzid_plugin', is_flag=True, help="Extract mzIdentML")
    • Follows the same pattern as other CLI options in the file
    • Help text clearly describes its purpose
    🏁 Scripts executed

    The following scripts were executed for the analysis:

    Script:

    #!/bin/bash
    # Description: Verify the mzid_plugin CLI option implementation
    # Expected: Find the corresponding CLI option implementation in cli.py
    
    # Search for the mzid_plugin implementation
    ast-grep --pattern 'def mzid_plugin'
    
    # Verify it's properly decorated as a click option
    rg -B 2 'def mzid_plugin'
    

    Length of output: 249


    Script:

    #!/bin/bash
    # Let's try a different approach to find the CLI implementation
    
    # Search for mzid_plugin in Python files
    rg -t python "mzid_plugin"
    
    # Look for files in the pmultiqc directory
    fd -t f . pmultiqc
    
    # Check content of cli.py if it exists
    fd -t f "cli.py" pmultiqc --exec cat {}
    

    Length of output: 2875

    @@ -35,3 +35,4 @@ def print_version(ctx, params, value):
    help='Prefix (default) or suffix')
    disable_plugin = click.option('--disable_plugin', 'disable_plugin', is_flag=True,
    help="Disable the pmultiqc plugin on this run")
    mzid_plugin = click.option('--mzid_plugin', 'mzid_plugin', is_flag=True, help="Extract mzIdentML")
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    🛠️ Refactor suggestion

    Consider enhancing the help message and adding configuration options.

    The current help message "Extract mzIdentML" could be more descriptive. Additionally, users might benefit from configuration options for the mzIdentML extraction process.

    Consider updating the implementation:

    -mzid_plugin = click.option('--mzid_plugin', 'mzid_plugin', is_flag=True, help="Extract mzIdentML")
    +mzid_plugin = click.option(
    +    '--mzid_plugin',
    +    'mzid_plugin',
    +    is_flag=True,
    +    help="Enable mzIdentML file processing to extract peptide/protein identifications and generate corresponding reports"
    +)

    You might also want to consider adding related configuration options such as:

    • --mzid-score-threshold: Threshold for filtering identifications
    • --mzid-confidence-level: Confidence level for peptide/protein matches

    Would you like me to propose a complete implementation with these additional options?

    Committable suggestion was skipped due to low confidence.

    if config.kwargs.get('mzid_plugin', False):

    self.mzid_peptide_map = dict()
    self.ms_without_psm = dict()
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    ⚠️ Potential issue

    Potential Bug: Inconsistent Type for self.ms_without_psm

    At line 117, self.ms_without_psm is initialized as a dictionary, but it is later used as a list in methods such as parse_out_mgf() and parse_mzml(), where append() is called on it. This will result in an AttributeError since dictionaries do not have an append method. Please ensure that self.ms_without_psm is consistently used as a list throughout the code.

    Apply this diff to fix the issue:

    - self.ms_without_psm = dict()
    + self.ms_without_psm = []
    📝 Committable suggestion

    ‼️ IMPORTANT
    Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

    Suggested change
    self.ms_without_psm = dict()
    self.ms_without_psm = []

    Comment on lines +1150 to +1153
    enzyme = next(enzyme_iter).get("EnzymeName", None)
    if enzyme:
    enzyme_name = list(enzyme.keys())[0]
    else:
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    🛠️ Refactor suggestion

    Simplify enzyme_name assignment using a ternary operator

    At lines 1150-1153, the assignment of enzyme_name can be condensed using a ternary operator for better readability.

    Apply this diff to simplify the code:

    -             if enzyme:
    -                 enzyme_name = list(enzyme.keys())[0]
    -             else:
    -                 enzyme_name = "Trypsin"
    +             enzyme_name = list(enzyme.keys())[0] if enzyme else "Trypsin"
    📝 Committable suggestion

    ‼️ IMPORTANT
    Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

    Suggested change
    enzyme = next(enzyme_iter).get("EnzymeName", None)
    if enzyme:
    enzyme_name = list(enzyme.keys())[0]
    else:
    enzyme = next(enzyme_iter).get("EnzymeName", None)
    enzyme_name = list(enzyme.keys())[0] if enzyme else "Trypsin"

    @ypriverol ypriverol merged commit fff217b into bigbio:main Nov 10, 2024
    6 checks passed
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    2 participants