Codebase In Depth Analysis on 3 perspectves using AST & Metadata

[mouimet-infinisoft]

Specification for Enriching Code Analysis and Representation

Objective: Enhance the analysis and representation of code by including comprehensive metadata and detailed context from the Abstract Syntax Tree (AST). This will improve the ability to query and understand the codebase effectively.

Perspective 1: Module/File Overview

• Name: A clear and descriptive name for the module or file reflecting its purpose.
• Description: A brief summary of the module or file's primary functions and specific behaviors.
• Responsibility: List of tasks the module or file is responsible for within the system.
• Dependencies: List of internal and external modules, libraries, or services the module depends on.
• Input/Output: Specifications of expected inputs and produced outputs, including data types, formats, and validation rules.
• Error Handling: Description of how errors or exceptions are handled, including expected types and logging/reporting methods.
• Configuration: Required configuration settings or parameters, including default values and how to override them.
• Testing: Information on unit tests, integration tests, and specific test cases or scenarios.
• Versioning: Current version and versioning strategy.
• Security: Security considerations or measures, such as data encryption and authentication mechanisms.
• Performance: Performance benchmarks, expected load handling, response times, and optimization strategies.
• Changelog: Record of changes, including version updates, bug fixes, and new features.
• Documentation: References to external documentation on usage, architecture, or design.
• Maintainers: Contact details for those responsible for maintaining the module.
• License: Licensing details and any restrictions or requirements.

Perspective 2: Variables, Functions, and Classes

• Class/Function Name: Descriptive and meaningful names reflecting their purpose.
• Description: Summary of objectives and behaviors of the class or function.
• Responsibilities: Tasks or roles the class or function is responsible for within the system.
• Arguments/Parameters:
  • Name: Descriptive names for each parameter.
  • Type: Data type of each parameter.
  • Description: Explanation of what each parameter represents.
  • Default Value: Default value for each parameter, if applicable.
  • Required/Optional: Indication of whether each parameter is required or optional.
• Return Value:
  • Type: Data type of the return value.
  • Description: Explanation of what the return value represents.
  • Possible Values: List of possible return values or ranges, if applicable.
• Error Handling: Description of error or exception handling, including expected types and logging/reporting methods.
• Example Usage: Code snippets demonstrating typical and edge case usage.
• Dependencies: List of other classes, functions, or external libraries relied upon.
• Constraints/Preconditions: Conditions that must be met before using the class or function.
• Postconditions: Expected changes or effects after execution.
• Performance Considerations: Performance benchmarks, load handling, response times, and optimization strategies.
• Security Considerations: Security measures such as data encryption, authentication, or authorization mechanisms.
• Versioning: Versioning details and strategy.
• Changelog: Record of changes, including version updates, bug fixes, and new features.
• Documentation: References to external documentation on usage, architecture, or design.
• Maintainers: Contact details for maintainers.
• License: Licensing details and any restrictions or requirements.

Perspective 3: Implementation Details

• File Overview: Provides a summary of the file's purpose and any important notes.
• Class or Function Specifics:
  • @class or @function: Specifies the type.
  • @name: Name of the class or function.
  • @description: Detailed description of objectives and behaviors.
  • @param or @argument: For each parameter:
  • {Type}: Data type.
  • Name: Parameter name.
  • Description: Explanation.
  • [Default Value]: Default value, if applicable.
  • @return or @returns: For the return value:
  • {Type}: Data type.
  • Description: Explanation.
  • [Possible Values]: List of possible values or ranges, if applicable.
  • @throws or @exception: Describes possible exceptions or errors.
  • @example: Provides example usage with code snippets.
  • @see: References to related classes, functions, or documentation.
  • @version: Current version.
  • @since: Introduction version or date.
  • @deprecated: Information on deprecation and recommended alternatives.
  • @license: Licensing details.
  • @private or @public: Specifies visibility.
  • @static: Indicates if static (for classes).
  • @abstract: Indicates if abstract (for classes/methods).
  • @override: Indicates method overrides.
  • @template: Specifies type parameters for generics or templates.
  • @typedef: Defines custom types or complex data structures.

Integration with Supabase and pg_vector

1. Set Up pg_vector on Supabase:
   • Enable pg_vector on Supabase instance.
   • Create a table to store code vectors.
2. Store Vectors:
   • Insert vectors into the Supabase table using the structure, components, and complexity metadata.
3. Search Functionality:
   • Implement similarity queries using pg_vector to find relevant code snippets or modules based on vector representations.

By following this comprehensive approach, you ensure that the codebase analysis is rich in context and detail, improving the system's ability to provide accurate and helpful insights.

[mouimet-infinisoft]

Enhanced Plan and Implementation

Step-by-Step Plan

1. Setting Up the Environment

   Ensure you have the necessary packages installed:

   npm install @babel/parser @babel/traverse @supabase/supabase-js
   pip install transformers torch radon

2. Perspective 1: Module/File Overview

   This perspective involves analyzing the overall structure of the codebase, including files, folders, imports, and metadata.

   const fs = require('fs');
   const path = require('path');
   const babelParser = require('@babel/parser');
   const traverse = require('@babel/traverse').default;
   
   const analyzeModule = (filePath) => {
    const content = fs.readFileSync(filePath, 'utf-8');
    const ast = babelParser.parse(content, { sourceType: 'module', plugins: ['typescript'] });
    const metadata = {
      name: path.basename(filePath),
      description: '',
      responsibilities: [],
      dependencies: [],
      inputOutput: [],
      errorHandling: '',
      configuration: '',
      testing: '',
      versioning: '',
      security: '',
      performance: '',
      changelog: '',
      documentation: '',
      maintainers: '',
      license: ''
    };
   
    traverse(ast, {
      ImportDeclaration({ node }) {
        metadata.dependencies.push(node.source.value);
      }
    });
   
    return metadata;
   };
   
   const moduleToVector = async (moduleMetadata) => {
    const textRepresentation = JSON.stringify(moduleMetadata);
    const { tokenizer, model } = await loadModel();
    const inputs = tokenizer(textRepresentation, { return_tensors: 'pt', truncation: true, padding: true });
    const outputs = await model(inputs);
    const vector = outputs.last_hidden_state.mean(dim=1).detach().numpy();
    return vector;
   };
   
   const loadModel = async () => {
    const { AutoTokenizer, AutoModel } = require('transformers');
    const tokenizer = AutoTokenizer.from_pretrained("bert-base-uncased");
    const model = AutoModel.from_pretrained("bert-base-uncased");
    return { tokenizer, model };
   };
   
   const rootDir = 'path/to/codebase';
   const files = fs.readdirSync(rootDir).filter(file => file.endsWith('.js') || file.endsWith('.ts'));
   for (const file of files) {
    const moduleMetadata = analyzeModule(path.join(rootDir, file));
    const moduleVector = await moduleToVector(moduleMetadata);
    await storeVector(file, 'module', moduleVector);
   }

3. Perspective 2: Variables, Functions, and Classes

   This perspective focuses on the internal components of the code such as functions, classes, variables, and their relationships.

   const analyzeCodeComponents = (filePath) => {
    const content = fs.readFileSync(filePath, 'utf-8');
    const ast = babelParser.parse(content, { sourceType: 'module', plugins: ['typescript'] });
    const components = [];
   
    traverse(ast, {
      FunctionDeclaration({ node }) {
        components.push({
          type: 'Function',
          name: node.id.name,
          startLine: node.loc.start.line,
          endLine: node.loc.end.line,
          arguments: node.params.map(param => param.name),
          returnType: node.returnType ? node.returnType.typeAnnotation.type : 'void'
        });
      },
      ClassDeclaration({ node }) {
        components.push({
          type: 'Class',
          name: node.id.name,
          startLine: node.loc.start.line,
          endLine: node.loc.end.line,
          methods: node.body.body
            .filter(member => member.type === 'MethodDefinition')
            .map(method => ({
              name: method.key.name,
              startLine: method.loc.start.line,
              endLine: method.loc.end.line,
              arguments: method.value.params.map(param => param.name),
              returnType: method.value.returnType ? method.value.returnType.typeAnnotation.type : 'void'
            }))
        });
      },
      VariableDeclarator({ node }) {
        components.push({
          type: 'Variable',
          name: node.id.name,
          startLine: node.loc.start.line,
          endLine: node.loc.end.line,
          dataType: node.init ? node.init.type : 'undefined'
        });
      }
    });
   
    return components;
   };
   
   const componentsToVector = async (components) => {
    const componentsMetadata = JSON.stringify(components);
    const { tokenizer, model } = await loadModel();
    const inputs = tokenizer(componentsMetadata, { return_tensors: 'pt', truncation: true, padding: true });
    const outputs = await model(inputs);
    const vector = outputs.last_hidden_state.mean(dim=1).detach().numpy();
    return vector;
   };
   
   const filePath = 'path/to/file.js';
   const components = analyzeCodeComponents(filePath);
   const componentsVector = await componentsToVector(components);
   await storeVector(filePath, 'components', componentsVector);

4. Perspective 3: Implementation Details

   This perspective analyzes control flow, cyclomatic complexity, and dependencies within the code.

   const { default: complexity } = require('escomplex');
   
   const analyzeComplexity = (filePath) => {
    const content = fs.readFileSync(filePath, 'utf-8');
    const analysis = complexity.analyzeModule(content);
    const complexityMetrics = {
      startLine: 1,
      endLine: content.split('\n').length,
      complexity: analysis.aggregate.complexity.cyclomatic,
      maintainability: analysis.aggregate.maintainability,
      dependencies: analysis.dependencies.map(dep => dep.path)
    };
   
    return complexityMetrics;
   };
   
   const complexityToVector = async (complexityMetrics) => {
    const complexityMetadata = JSON.stringify(complexityMetrics);
    const { tokenizer, model } = await loadModel();
    const inputs = tokenizer(complexityMetadata, { return_tensors: 'pt', truncation: true, padding: true });
    const outputs = await model(inputs);
    const vector = outputs.last_hidden_state.mean(dim=1).detach().numpy();
    return vector;
   };
   
   const complexityMetrics = analyzeComplexity(filePath);
   const complexityVector = await complexityToVector(complexityMetrics);
   await storeVector(filePath, 'complexity', complexityVector);

Integrating with Supabase and pg_vector

1. Set Up pg_vector on Supabase

   Ensure pg_vector is enabled on your Supabase instance:

   CREATE EXTENSION IF NOT EXISTS vector;

2. Create a Table for Vectors

   Create a table to store the code vectors:

   CREATE TABLE code_vectors (
      id SERIAL PRIMARY KEY,
      file_path TEXT,
      perspective TEXT,
      vector vector(768) -- Adjust the dimension based on the vector size from your model
   );

3. Store Vectors in Database

   Insert the vectors into the database using Supabase:

   const { createClient } = require('@supabase/supabase-js');
   
   const supabaseUrl = 'https://your-supabase-url.supabase.co';
   const supabaseKey = 'your-supabase-key';
   const supabase = createClient(supabaseUrl, supabaseKey);
   
   const storeVector = async (filePath, perspective, vector) => {
    const { data, error } = await supabase
      .from('code_vectors')
      .insert([
        { file_path: filePath, perspective: perspective, vector: vector }
      ]);
    if (error) console.error(error);
    else console.log('Vector stored:', data);
   };
   
   // Store vectors for each perspective
   await storeVector('path/to/file.js', 'structure', structureVector);
   await storeVector('path/to/file.js', 'components', componentsVector);
   await storeVector('path/to/file.js', 'complexity', complexityVector);

4. Search Using Vectors

   Implement a search functionality using pg_vector for similarity queries:

   SELECT * FROM code_vectors
   ORDER BY vector <-> '[your_vector_representation]'
   LIMIT 5;

Conclusion

Including detailed metadata from the AST for each perspective enhances the vector representations and captures more context about the codebase. This method makes the vectors more informative, improving the AI's ability to provide context-aware suggestions and collaborations.

[mouimet-infinisoft]

Specification for Enriching Code Analysis and Representation with Git History

Objective: Enhance the analysis and representation of code by incorporating comprehensive metadata and detailed context from the Abstract Syntax Tree (AST), along with the entire Git history, including commits, pull requests (PRs), change requests, merge discussions, and treating this as a time series data. This will provide a richer, more contextual understanding of the codebase evolution over time.

Perspective 1: Module/File Overview

• Name: A clear and descriptive name for the module or file reflecting its purpose.
• Description: A brief summary of the module or file's primary functions and specific behaviors.
• Responsibility: List of tasks the module or file is responsible for within the system.
• Dependencies: List of internal and external modules, libraries, or services the module depends on.
• Input/Output: Specifications of expected inputs and produced outputs, including data types, formats, and validation rules.
• Error Handling: Description of how errors or exceptions are handled, including expected types and logging/reporting methods.
• Configuration: Required configuration settings or parameters, including default values and how to override them.
• Testing: Information on unit tests, integration tests, and specific test cases or scenarios.
• Versioning: Current version and versioning strategy.
• Security: Security considerations or measures, such as data encryption and authentication mechanisms.
• Performance: Performance benchmarks, expected load handling, response times, and optimization strategies.
• Changelog: Record of changes, including version updates, bug fixes, and new features.
• Documentation: References to external documentation on usage, architecture, or design.
• Maintainers: Contact details for those responsible for maintaining the module.
• License: Licensing details and any restrictions or requirements.

Perspective 2: Variables, Functions, and Classes

• Class/Function Name: Descriptive and meaningful names reflecting their purpose.
• Description: Summary of objectives and behaviors of the class or function.
• Responsibilities: Tasks or roles the class or function is responsible for within the system.
• Arguments/Parameters:
  • Name: Descriptive names for each parameter.
  • Type: Data type of each parameter.
  • Description: Explanation of what each parameter represents.
  • Default Value: Default value for each parameter, if applicable.
  • Required/Optional: Indication of whether each parameter is required or optional.
• Return Value:
  • Type: Data type of the return value.
  • Description: Explanation of what the return value represents.
  • Possible Values: List of possible return values or ranges, if applicable.
• Error Handling: Description of error or exception handling, including expected types and logging/reporting methods.
• Example Usage: Code snippets demonstrating typical and edge case usage.
• Dependencies: List of other classes, functions, or external libraries relied upon.
• Constraints/Preconditions: Conditions that must be met before using the class or function.
• Postconditions: Expected changes or effects after execution.
• Performance Considerations: Performance benchmarks, load handling, response times, and optimization strategies.
• Security Considerations: Security measures such as data encryption, authentication, or authorization mechanisms.
• Versioning: Versioning details and strategy.
• Changelog: Record of changes, including version updates, bug fixes, and new features.
• Documentation: References to external documentation on usage, architecture, or design.
• Maintainers: Contact details for maintainers.
• License: Licensing details and any restrictions or requirements.

Perspective 3: Implementation Details

• File Overview: Provides a summary of the file's purpose and any important notes.
• Class or Function Specifics:
  • @class or @function: Specifies the type.
  • @name: Name of the class or function.
  • @description: Detailed description of objectives and behaviors.
  • @param or @argument: For each parameter:
  • {Type}: Data type.
  • Name: Parameter name.
  • Description: Explanation.
  • [Default Value]: Default value, if applicable.
  • @return or @returns: For the return value:
  • {Type}: Data type.
  • Description: Explanation.
  • [Possible Values]: List of possible values or ranges, if applicable.
  • @throws or @exception: Describes possible exceptions or errors.
  • @example: Provides example usage with code snippets.
  • @see: References to related classes, functions, or documentation.
  • @version: Current version.
  • @since: Introduction version or date.
  • @deprecated: Information on deprecation and recommended alternatives.
  • @license: Licensing details.
  • @private or @public: Specifies visibility.
  • @static: Indicates if static (for classes).
  • @abstract: Indicates if abstract (for classes/methods).
  • @override: Indicates method overrides.
  • @template: Specifies type parameters for generics or templates.
  • @typedef: Defines custom types or complex data structures.

Perspective 4: Git History and Time Series Data

• Commits:

  • Commit ID: Unique identifier for the commit.
  • Author: Name and email of the commit author.
  • Date: Date and time when the commit was made.
  • Message: Description of the changes made in the commit.
  • Changes: Summary of files changed, lines added, and lines deleted.
  • Parent Commits: References to parent commits for merge commits.

• Pull Requests (PRs):

  • PR ID: Unique identifier for the pull request.
  • Title: Title of the pull request.
  • Description: Detailed description of the changes proposed.
  • Author: Name and email of the pull request author.
  • Date Opened: Date and time when the pull request was created.
  • Status: Current status (e.g., open, merged, closed).
  • Reviewers: List of reviewers assigned to the pull request.
  • Comments: Summary of comments and discussions on the pull request.
  • Changes: Summary of files changed, lines added, and lines deleted.
  • Merge Commit: Reference to the commit that merged the pull request.

• Change Requests:

  • Request ID: Unique identifier for the change request.
  • Title: Title of the change request.
  • Description: Detailed description of the requested changes.
  • Author: Name and email of the change request author.
  • Date Opened: Date and time when the change request was created.
  • Status: Current status (e.g., open, approved, rejected).
  • Comments: Summary of comments and discussions on the change request.

• Merge Discussions:

  • Discussion ID: Unique identifier for the merge discussion.
  • Participants: List of participants involved in the discussion.
  • Date: Date and time of the discussion.
  • Content: Summary of the discussion points and decisions made.
  • Outcome: Result of the discussion (e.g., merged, rejected, deferred).

• Time Series Data:

  • Timeline: Chronological sequence of commits, PRs, change requests, and merge discussions.
  • Activity Metrics: Number of commits, PRs, change requests, and merge discussions over time.
  • Code Changes: Visualization of code changes (lines added/deleted) over time.
  • Contributor Activity: Analysis of individual contributor activity over time.

Integration with Supabase and pg_vector

1. Set Up pg_vector on Supabase:

   • Enable pg_vector on Supabase instance.
   • Create a table to store code vectors and Git history data.

2. Store Vectors and Git History:

   • Insert vectors into the Supabase table using the structure, components, complexity metadata, and Git history data.
   • Include time series data representing the evolution of the codebase.

3. Search Functionality:

   • Implement similarity queries using pg_vector to find relevant code snippets, modules, or historical changes based on vector representations and time series analysis.