pylint improvements

[fabriziosalmi]

Working on pylint scores improvements :)

• 🔴 evaluate_noun_verb_metrics.py => 4.72/10
• 🔴 evaluate_readability_complexity_metrics.py => 3.44/10
• 🔴 evaluate_cohesion_concreteness.py => 4.59/10
• 🟠 epub2rss.py => 5.64/10
• 🟠 evaluate_against_reference.py => 5.38/10
• 🟠 evaluate_narrative_persuasiveness.py => 5.80/10
• 🟠 evaluate_statistical_metrics.py => 5.65/10
• 🟡 evaluate_information_density.py => 6.62/10
• 🟡 evaluate_lexical_syntactic_metrics.py => 6.73/10
• 🟡 evaluate_structural_metrics.py => 6.94/10
• 🟡 llm_processor.py => 6.29/10
• 🟡 opml2feeds.py => 6.82/10

---

• generate_html.py => 7.04/10
• evaluate_lexical_metrics.py => 7.19/10
• evaluate_punctuation_function_words.py => 7.07/10
• evaluate_cohesion_information_density.py => 7.19/10
• evaluate_diversity.py => 7.08/10
• evaluate_frequency.py => 7.22/10
• extract_pylint_rating.py => 7.86/10
• json2rss.py => 8.95/10
• json_manager.py => 9.17/10
• serve.py => 8.67/10
• similarity_checker.py => 8.37/10
• 🟢 main.py => 9.30/10
• 🟢 process_multiple_metrics.py => 9.26/10
• 🟢 rss_reader.py => 9.52/10

[fabriziosalmi]

6 or more obtained atm, here next challenges with examples on remaining pylint warnings across the project:

Each issue type is explained with examples and solutions:

1. Missing Timeout Argument for requests.get:

   • Issue: Using requests.get without a timeout can cause your program to hang indefinitely.
   • Solution: Always specify a timeout.
   • Example:

     import requests
     response = requests.get('http://example.com', timeout=10)

2. Disallowed Names:

   • Issue: Using names like "bar" which are disallowed by your naming convention.
   • Solution: Use more descriptive variable names.
   • Example:

     foo = 42  # Bad
     user_age = 42  # Good

3. Broad Exception Catch:

   • Issue: Catching too general exceptions like Exception.
   • Solution: Catch specific exceptions.
   • Example:

     try:
      # Code that might throw an exception
     except ValueError:
      # Handle ValueError
     except TypeError:
      # Handle TypeError

4. Line Too Long:

   • Issue: Lines exceeding the maximum allowed length (usually 100 characters).
   • Solution: Break long lines into shorter ones.

   • Example:

     # Bad
     print("This is a very long line that exceeds the maximum allowed length and should be broken down.")
     
     # Good
     print("This is a very long line that exceeds the maximum allowed length "
        "and should be broken down.")

5. Consider Using .items() for Dictionary Iteration:

   • Issue: Iterating over dictionary keys and then accessing the values inside the loop.
   • Solution: Use .items() to iterate over both keys and values.

   • Example:

     # Bad
     for key in my_dict:
      value = my_dict[key]
     
     # Good
     for key, value in my_dict.items():
      pass

6. Unused Variables and Imports:

   • Issue: Declaring variables and importing modules that are never used.
   • Solution: Remove unused variables and imports.

   • Example:

     # Bad
     import os
     foo = 42
     
     # Good
     # Remove unused 'import os' and 'foo' if they are not used elsewhere.

7. No Member Error:

   • Issue: Using a method or attribute that doesn't exist in the module.
   • Solution: Ensure that you are using the correct attributes/methods and that the module is correctly installed and imported.
   • Example:

     import textstat
     score = textstat.flesch_reading_ease("This is a test.")  # Ensure 'flesch_reading_ease' exists

8. Redefining Outer Scope Variables:

   • Issue: Redefining a variable name that was defined in an outer scope.
   • Solution: Use unique variable names to avoid shadowing.

   • Example:

     # Bad
     config = {'key': 'value'}
     def function():
      config = {'other_key': 'other_value'}
     
     # Good
     config = {'key': 'value'}
     def function():
      local_config = {'other_key': 'other_value'}

9. Missing Function or Module Docstrings:

   • Issue: Functions or modules without documentation.
   • Solution: Add docstrings to describe the purpose and usage of functions and modules.
   • Example:

     def add(a, b):
      """Add two numbers and return the result."""
      return a + b

10. Logging Format Issues:

    • Issue: Using string interpolation directly in logging functions.
    • Solution: Use lazy formatting with %.

    • Example:

      import logging
      logger = logging.getLogger(__name__)
      
      # Bad
      logger.info("User %s logged in", user.name)
      
      # Good
      logger.info("User %s logged in", user.name)

11. Unspecified Encoding in File Operations:

    • Issue: Opening files without specifying the encoding.
    • Solution: Always specify the encoding.

    • Example:

      # Bad
      with open('file.txt', 'r') as f:
        content = f.read()
      
      # Good
      with open('file.txt', 'r', encoding='utf-8') as f:
        content = f.read()

12. Too Many Local Variables or Statements:

    • Issue: Functions with too many local variables or statements.
    • Solution: Refactor the function into smaller, more manageable pieces.

    • Example:

      # Bad
      def process_data(data):
        var1 = ...
        var2 = ...
        ...
        # many lines of code
      
      # Good
      def process_data(data):
        processed_data = step_one(data)
        results = step_two(processed_data)
        return results

Next Steps

• Refactor the code according to the suggestions above.
• Run Pylint again to ensure that the issues are resolved.
• Incrementally fix warnings and errors to gradually improve the code quality.

[fabriziosalmi]

added GitHub action to get pylint feedback at push events