cpf/enhancement: Implement call site extraction from AST #326
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Add foundational data structures for Python call graph construction: New Types: - CallSite: Represents function call locations with arguments and resolution status - CallGraph: Maps functions to callees with forward/reverse edges - ModuleRegistry: Maps Python file paths to module paths - ImportMap: Tracks imports per file for name resolution - Location: Source code position tracking - Argument: Function call argument metadata Features: - 100% test coverage with comprehensive unit tests - Bidirectional call graph edges (forward and reverse) - Support for ambiguous short names in module registry - Helper functions for module path manipulation This establishes the foundation for 3-pass call graph algorithm: - Pass 1 (next PR): Module registry builder - Pass 2 (next PR): Import extraction and resolution - Pass 3 (next PR): Call graph construction Related: Phase 1 - Call Graph Construction & 3-Pass Algorithm 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
Implement the first pass of the call graph construction algorithm: building a complete registry of Python modules by walking the directory tree. New Features: - BuildModuleRegistry: Walks directory tree and maps file paths to module paths - convertToModulePath: Converts file system paths to Python import paths - shouldSkipDirectory: Filters out venv, __pycache__, build dirs, etc. Module Path Conversion: - Handles regular files: myapp/views.py → myapp.views - Handles packages: myapp/utils/__init__.py → myapp.utils - Supports deep nesting: myapp/api/v1/endpoints/users.py → myapp.api.v1.endpoints.users - Cross-platform: Normalizes Windows/Unix path separators Performance Optimizations: - Skips 15+ common non-source directories (venv, __pycache__, .git, dist, build, etc.) - Avoids scanning thousands of dependency files - Indexes both full module paths and short names for ambiguity detection Test Coverage: 93% - Comprehensive unit tests for all conversion scenarios - Integration tests with real Python project structure - Edge case handling: empty dirs, non-Python files, deep nesting, permissions - Error path testing: walk errors, invalid paths, system errors - Test fixtures: test-src/python/simple_project/ with realistic structure - Documented: Remaining 7% are untestable OS-level errors (filepath.Abs failures) This establishes Pass 1 of 3: - ✅ Pass 1: Module registry (this PR) - Next: Pass 2 - Import extraction and resolution - Next: Pass 3 - Call graph construction Related: Phase 1 - Call Graph Construction & 3-Pass Algorithm Base Branch: shiva/callgraph-infra-1 (PR #1) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This PR implements comprehensive import extraction for Python code using tree-sitter AST parsing. It handles all three main import styles: 1. Simple imports: `import module` 2. From imports: `from module import name` 3. Aliased imports: `import module as alias` and `from module import name as alias` The implementation uses direct AST traversal instead of tree-sitter queries for better compatibility and control. It properly handles: - Multiple imports per line (`from json import dumps, loads`) - Nested module paths (`import xml.etree.ElementTree`) - Whitespace variations - Invalid/malformed syntax (fault-tolerant parsing) Key functions: - ExtractImports(): Main entry point that parses code and builds ImportMap - traverseForImports(): Recursively traverses AST to find import statements - processImportStatement(): Handles simple and aliased imports - processImportFromStatement(): Handles from-import statements with proper module name skipping to avoid duplicate entries Test coverage: 92.8% overall, 90-95% for import extraction functions Test fixtures include: - simple_imports.py: Basic import statements - from_imports.py: From import statements with multiple names - aliased_imports.py: Aliased imports (both simple and from) - mixed_imports.py: Mixed import styles All tests passing, linting clean, builds successfully. This is Pass 2 Part A of the 3-pass call graph algorithm. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This PR implements comprehensive relative import resolution for Python using a 3-pass algorithm. It extends the import extraction system from PR #3 to handle Python's relative import syntax with dot notation. Key Changes: 1. **Added FileToModule reverse mapping to ModuleRegistry** - Enables O(1) lookup from file path to module path - Required for resolving relative imports - Updated AddModule() to maintain bidirectional mapping 2. **Implemented resolveRelativeImport() function** - Handles single dot (.) for current package - Handles multiple dots (.., ...) for parent/grandparent packages - Navigates package hierarchy using module path components - Clamps excessive dots to root package level - Falls back gracefully when file not in registry 3. **Enhanced processImportFromStatement() for relative imports** - Detects relative_import nodes in tree-sitter AST - Extracts import_prefix (dots) and optional module suffix - Resolves relative paths to absolute module paths before adding to ImportMap 4. **Comprehensive test coverage (94.5% overall)** - Unit tests for resolveRelativeImport with various dot counts - Integration tests with ExtractImports - Tests for deeply nested packages - Tests for mixed absolute and relative imports - Real fixture files with project structure Relative Import Examples: - `from . import utils` → "currentpackage.utils" - `from .. import config` → "parentpackage.config" - `from ..utils import helper` → "parentpackage.utils.helper" - `from ...db import query` → "grandparent.db.query" Test Fixtures: - Created myapp/submodule/handler.py with all relative import styles - Created supporting package structure with __init__.py files - Tests verify correct resolution across package hierarchy All tests passing, linting clean, builds successfully. This is Pass 2 Part B of the 3-pass call graph algorithm. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This PR implements call site extraction from Python source code using tree-sitter AST parsing. It builds on the import resolution work from PRs #3 and #4 to prepare for call graph construction in Pass 3. ## Changes ### Core Implementation (callsites.go) 1. **ExtractCallSites()**: Main entry point for extracting call sites - Parses Python source with tree-sitter - Traverses AST to find all call expressions - Returns slice of CallSite objects with location information 2. **traverseForCalls()**: Recursive AST traversal - Tracks function context while traversing - Updates context when entering function definitions - Finds and processes call expressions 3. **processCallExpression()**: Call site processing - Extracts callee name (function/method being called) - Parses arguments (positional and keyword) - Creates CallSite with source location - Parameters for importMap and caller reserved for Pass 3 4. **extractCalleeName()**: Callee name extraction - Handles simple identifiers: foo() - Handles attributes: obj.method(), obj.attr.method() - Recursively builds dotted names 5. **extractArguments()**: Argument parsing - Extracts all positional arguments - Preserves keyword arguments as "name=value" in Value field - Tracks argument position and variable status 6. **convertArgumentsToSlice()**: Helper for struct conversion - Converts []*Argument to []Argument for CallSite struct ### Comprehensive Tests (callsites_test.go) Created 17 test functions covering: - Simple function calls: foo(), bar() - Method calls: obj.method(), self.helper() - Arguments: positional, keyword, mixed - Nested calls: foo(bar(x)) - Multiple functions in one file - Class methods - Chained calls: obj.method1().method2() - Module-level calls (no function context) - Source location tracking - Empty files - Complex arguments: expressions, lists, dicts, lambdas - Nested method calls: obj.attr.method() - Real file fixture integration ### Test Fixture (simple_calls.py) Created realistic test file with: - Function definitions with various call patterns - Method calls on objects - Calls with arguments (positional and keyword) - Nested calls - Class methods with self references ## Test Coverage - Overall: 93.3% - ExtractCallSites: 90.0% - traverseForCalls: 93.3% - processCallExpression: 83.3% - extractCalleeName: 91.7% - extractArguments: 87.5% - convertArgumentsToSlice: 100.0% ## Design Decisions 1. **Keyword argument handling**: Store as "name=value" in Value field - Tree-sitter provides full keyword_argument node content - Preserves complete argument information for later analysis - Separating name/value would require additional parsing 2. **Caller context tracking**: Parameter reserved but not used yet - Will be populated in Pass 3 during call graph construction - Enables linking call sites to their containing functions 3. **Import map parameter**: Reserved for Pass 3 resolution - Will be used to resolve qualified names to FQNs - Enables cross-file call graph construction 4. **Location tracking**: Store exact position for each call site - File, line, column information - Enables precise error reporting and code navigation ## Testing Strategy - Unit tests for each extraction function - Integration tests with tree-sitter AST - Real file fixture for end-to-end validation - Edge cases: empty files, no context, nested structures ## Next Steps (PR #6) Pass 3 will use this call site data to: 1. Build the complete call graph structure 2. Resolve call targets to function definitions 3. Link caller and callee through edges 4. Handle disambiguation for overloaded names 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
shivasurya
added
enhancement
SafeDep Report Summary
No dependency changes detected. Nothing to scan. This report is generated by SafeDep Github App |
Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #326 +/- ##
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+ Coverage 74.34% 74.70% +0.35%
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Files 26 27 +1
Lines 2717 2799 +82
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+ Hits 2020 2091 +71
- Misses 647 653 +6
- Partials 50 55 +5 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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This PR implements call site extraction from Python source code using tree-sitter AST parsing.
Changes
Core Implementation (callsites.go)
ExtractCallSites(): Main entry point for extracting call sites
traverseForCalls(): Recursive AST traversal
processCallExpression(): Call site processing
extractCalleeName(): Callee name extraction
extractArguments(): Argument parsing
convertArgumentsToSlice(): Helper for struct conversion
Checklist:
gradle testGo)?golangci-lint runthis requires golangci-lint)?