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v0.1.0 ... main

Author SHA1 Message Date
b650ff0edf fix: add Poetry caching to CI workflow
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2026-02-02 02:26:13 +00:00
bf578ebdb9 fix: add Poetry caching to CI workflow
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e0aa1be2d6 fix: add Poetry caching to CI workflow
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2026-02-02 02:26:12 +00:00
a36ff976ab fix: add Poetry caching to CI workflow
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2026-02-02 02:26:12 +00:00
7c90b04181 fix: resolve CI/CD issues - proper Poetry setup, caching and job steps
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2026-02-02 01:49:07 +00:00
345e55626f Add Gitea Actions workflow: ci.yml
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2026-02-02 01:47:58 +00:00
4d560c024b Fix CI/CD issues - add caching and target correct directories
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2026-02-02 01:01:21 +00:00
1ec6ccbf1b fix: resolve CI/CD issues - Poetry setup, type annotations, MyPy errors
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2026-02-02 00:08:16 +00:00
58a16b9eef fix: resolve CI/CD issues - Poetry setup, type annotations, MyPy errors
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2026-02-02 00:08:15 +00:00
1d20812638 fix: resolve CI/CD issues - Poetry setup, type annotations, MyPy errors
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2026-02-02 00:08:14 +00:00
31c89214ce fix: resolve CI/CD issues - Poetry setup, type annotations, MyPy errors
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b01fa6d6fb fix: resolve CI/CD issues - Poetry setup, type annotations, MyPy errors
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7151f75346 fix: resolve CI/CD issues - Poetry setup, type annotations, MyPy errors
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275119db73 fix: resolve CI/CD issues - Poetry setup, type annotations, MyPy errors
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2026-02-02 00:08:11 +00:00
8186d226f2 fix: resolve CI/CD issues - Poetry setup, type annotations, MyPy errors
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4efc8894d1 fix: resolve CI/CD issues - Poetry setup, type annotations, MyPy errors
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2026-02-02 00:08:10 +00:00
59f45ffefc fix: resolve CI test failures in conftest.py
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- Fix deprecated typing import (typing.Generator -> collections.abc.Generator)
- Add missing test fixtures (nodejs_project, django_project, react_project, etc.)
- Add requirements.txt and setup.py to python_project fixture
- Add mkdir() calls for missing parent directories in fixtures
2026-02-01 23:50:20 +00:00
13 changed files with 195 additions and 163 deletions

0
.gitattributes vendored Normal file
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@@ -17,24 +17,36 @@ jobs:
with:
python-version: '3.11'
- name: Install Poetry
uses: snok/install-poetry@v1
with:
virtualenvs-create: true
virtualenvs-in-project: true
installer-parallel: true
- name: Cache Poetry dependencies
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
restore-keys: |
${{ runner.os }}-poetry-
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -e ".[dev]"
poetry install --with dev
- name: Run tests
run: |
pytest tests/ -v
poetry run pytest tests/ -v
- name: Run linting
run: |
pip install ruff
ruff check .
poetry run ruff check codechunk tests
- name: Run type checking
run: |
pip install mypy
mypy codechunk
poetry run mypy codechunk
build:
runs-on: ubuntu-latest
@@ -47,14 +59,25 @@ jobs:
with:
python-version: '3.11'
- name: Install build dependencies
run: |
pip install build
- name: Install Poetry
uses: snok/install-poetry@v1
with:
virtualenvs-create: true
virtualenvs-in-project: true
installer-parallel: true
- name: Cache Poetry dependencies
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: ${{ runner.os }}-poetry-${{ hashFiles('**/poetry.lock') }}
restore-keys: |
${{ runner.os }}-poetry-
- name: Build package
run: |
python -m build
poetry build
- name: Verify build
run: |
pip install dist/*.whl --dry-run
poetry run pip install dist/*.whl --dry-run

54
.gitignore vendored
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@@ -1,12 +1,7 @@
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
@@ -20,56 +15,19 @@ parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
.pytest_cache/
.coverage
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Environments
.env
.venv
.venv/
env/
venv/
ENV/
env.bak/
venv.bak/
# IDEs
.vscode/
.idea/
*.swp
*.swo
*~
# OS
.DS_Store
Thumbs.db
# codechunk specific
.output/
*.chunked.*
.codechunk.yaml
.env
.venv
codechunk.yaml

0
.travis.yml Normal file
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@@ -1,6 +1,6 @@
import os
from pathlib import Path
from typing import Optional, List
from typing import Optional, List, cast
import click
from rich.console import Console
@@ -24,8 +24,8 @@ logger = get_logger(__name__)
@click.pass_context
def main(ctx: click.Context, verbose: bool, config: Optional[str]) -> None:
ctx.ensure_object(dict)
ctx.obj["verbose"] = verbose
ctx.obj["config_path"] = config
ctx.obj["verbose"] = verbose # type: ignore[index]
ctx.obj["config_path"] = config # type: ignore[index]
if verbose:
logger.setLevel("DEBUG")
@@ -43,8 +43,9 @@ def main(ctx: click.Context, verbose: bool, config: Optional[str]) -> None:
def generate(ctx: click.Context, path: str, output: Optional[str], format: str,
max_tokens: int, include: tuple, exclude: tuple) -> None:
"""Generate optimized context bundle for LLM."""
config_path = ctx.obj.get("config_path")
verbose = ctx.obj.get("verbose", False)
ctx_obj = cast(dict, ctx.obj)
config_path = ctx_obj.get("config_path")
verbose = ctx_obj.get("verbose", False)
try:
config = load_config(config_path) if config_path else Config()
@@ -98,7 +99,8 @@ def generate(ctx: click.Context, path: str, output: Optional[str], format: str,
@click.pass_context
def analyze(ctx: click.Context, path: str, json: bool) -> None:
"""Analyze codebase and report statistics."""
verbose = ctx.obj.get("verbose", False)
ctx_obj = cast(dict, ctx.obj)
verbose = ctx_obj.get("verbose", False)
try:
project_path = Path(path)
@@ -113,24 +115,34 @@ def analyze(ctx: click.Context, path: str, json: bool) -> None:
chunker = CodeChunker(config.chunking)
chunks = chunker.chunk_all(chunks)
stats = {
stats: dict[str, int] = {
"total_files": len(parser.files),
"total_chunks": len(chunks),
"files_by_language": {},
"chunks_by_type": {},
"total_lines": sum(c.metadata.line_count for c in chunks),
"total_functions": sum(1 for c in chunks if c.chunk_type == "function"),
"total_classes": sum(1 for c in chunks if c.chunk_type == "class"),
}
files_by_lang: dict[str, int] = {}
chunks_by_type: dict[str, int] = {}
for chunk in chunks:
lang = chunk.metadata.language
stats["files_by_language"][lang] = stats["files_by_language"].get(lang, 0) + 1
stats["chunks_by_type"][chunk.chunk_type] = stats["chunks_by_type"].get(chunk.chunk_type, 0) + 1
files_by_lang[lang] = files_by_lang.get(lang, 0) + 1
chunks_by_type[chunk.chunk_type] = chunks_by_type.get(chunk.chunk_type, 0) + 1
if json:
import json as json_module
console.print(json_module.dumps(stats, indent=2))
full_stats: dict[str, object] = {
"total_files": stats["total_files"],
"total_chunks": stats["total_chunks"],
"total_lines": stats["total_lines"],
"total_functions": stats["total_functions"],
"total_classes": stats["total_classes"],
"files_by_language": files_by_lang,
"chunks_by_type": chunks_by_type,
}
console.print(json_module.dumps(full_stats, indent=2))
else:
console.print(Panel(
Text.from_markup(f"""
@@ -143,10 +155,10 @@ Total Functions: {stats['total_functions']}
Total Classes: {stats['total_classes']}
[b]Files by Language[/b]
{chr(10).join(f' - {lang}: {count}' for lang, count in stats['files_by_language'].items())}
{chr(10).join(f' - {lang}: {count}' for lang, count in files_by_lang.items())}
[b]Chunks by Type[/b]
{chr(10).join(f' - {type_}: {count}' for type_, count in stats['chunks_by_type'].items())}
{chr(10).join(f' - {type_}: {count}' for type_, count in chunks_by_type.items())}
"""),
title="Analysis Results",
expand=False

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@@ -1,15 +1,15 @@
from pathlib import Path
from typing import List, Optional, Dict, Any
from typing import Any, Optional
from dataclasses import dataclass, field
import yaml
@dataclass
class ChunkingConfig:
include_patterns: List[str] = field(default_factory=lambda: [
include_patterns: list[str] = field(default_factory=lambda: [
"*.py", "*.js", "*.ts", "*.go", "*.rs", "*.java", "*.cpp", "*.c", "*.h"
])
exclude_patterns: List[str] = field(default_factory=lambda: [
exclude_patterns: list[str] = field(default_factory=lambda: [
"**/test_*.py", "**/__pycache__/**", "**/node_modules/**",
"**/.git/**", "**/venv/**", "**/.env/**"
])
@@ -17,7 +17,7 @@ class ChunkingConfig:
min_chunk_size: int = 3
preserve_docstrings: bool = True
remove_comments: bool = False
boilerplate_patterns: List[str] = field(default_factory=lambda: [
boilerplate_patterns: list[str] = field(default_factory=lambda: [
r"@property\s*\n\s*def\s+\w+\s*\(\s*\)\s*:",
r"@abstractmethod",
r"@staticmethod",
@@ -27,14 +27,14 @@ class ChunkingConfig:
@dataclass
class PrioritizationConfig:
keywords: List[str] = field(default_factory=lambda: [
keywords: list[str] = field(default_factory=lambda: [
"main", "core", "handler", "controller", "service", "model"
])
size_limit: int = 10000
exclude_patterns: List[str] = field(default_factory=lambda: [
exclude_patterns: list[str] = field(default_factory=lambda: [
"**/test_*.py", "**/*_test.py", "**/conftest.py"
])
include_only: List[str] = field(default_factory=list)
include_only: list[str] = field(default_factory=list)
weight_by_depth: bool = True
@@ -51,21 +51,21 @@ class Config:
chunking: ChunkingConfig = field(default_factory=ChunkingConfig)
prioritization: PrioritizationConfig = field(default_factory=PrioritizationConfig)
output: OutputConfig = field(default_factory=OutputConfig)
env_overrides: Dict[str, str] = field(default_factory=dict)
env_overrides: dict[str, str] = field(default_factory=dict)
def load_config(config_path: Optional[str] = None) -> Config:
"""Load configuration from YAML file."""
if config_path is None:
config_path = Path.cwd() / ".codechunk.yaml"
config_file = Path(config_path)
config_file = Path.cwd() / ".codechunk.yaml"
else:
config_file = Path(config_path)
if not config_file.exists():
return Config()
try:
with open(config_file, 'r') as f:
with open(config_file) as f:
data = yaml.safe_load(f)
if data is None:

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@@ -1,5 +1,5 @@
from dataclasses import dataclass, field
from typing import List, Optional, Dict, Any
from typing import Optional, Any
from pathlib import Path
import re
@@ -13,9 +13,9 @@ class ChunkMetadata:
end_line: int
line_count: int
docstring: Optional[str] = None
imports: List[str] = field(default_factory=list)
decorators: List[str] = field(default_factory=list)
parameters: List[str] = field(default_factory=list)
imports: list[str] = field(default_factory=list)
decorators: list[str] = field(default_factory=list)
parameters: list[str] = field(default_factory=list)
return_type: Optional[str] = None
complexity_score: int = 1
original_content: str = ""
@@ -28,7 +28,7 @@ class ParsedChunk:
content: str
metadata: ChunkMetadata
priority: int = 0
dependencies: List[str] = field(default_factory=list)
dependencies: list[str] = field(default_factory=list)
summary: str = ""
is_boilerplate: bool = False
@@ -52,7 +52,7 @@ class CodeChunker:
(r'def\s+__ge__\s*\([^)]*\)\s*:', '__ge__'),
]
def chunk_all(self, chunks: List[ParsedChunk]) -> List[ParsedChunk]:
def chunk_all(self, chunks: list[ParsedChunk]) -> list[ParsedChunk]:
"""Process all chunks: remove boilerplate, add priorities."""
result = []
for chunk in chunks:
@@ -67,7 +67,7 @@ class CodeChunker:
return chunk
content = chunk.content
for pattern, pattern_type in self.boilerplate_patterns:
for pattern, _pattern_type in self.boilerplate_patterns:
if re.search(pattern, content, re.MULTILINE):
chunk.is_boilerplate = True
break
@@ -116,17 +116,17 @@ class CodeChunker:
chunk.priority = priority
return chunk
def _sort_by_priority(self, chunks: List[ParsedChunk]) -> List[ParsedChunk]:
def _sort_by_priority(self, chunks: list[ParsedChunk]) -> list[ParsedChunk]:
"""Sort chunks by priority (highest first)."""
return sorted(chunks, key=lambda c: c.priority, reverse=True)
def split_large_chunk(self, chunk: ParsedChunk) -> List[ParsedChunk]:
def split_large_chunk(self, chunk: ParsedChunk) -> list[ParsedChunk]:
"""Split a large chunk into smaller pieces."""
if chunk.metadata.line_count <= self.config.max_chunk_size:
return [chunk]
lines = chunk.content.split('\n')
parts = []
parts: list[ParsedChunk] = []
current_part = []
current_lines = 0

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@@ -1,4 +1,4 @@
from typing import List, Dict, Set, Optional
from typing import Optional
from dataclasses import dataclass, field
from pathlib import Path
from codechunk.core.chunking import ParsedChunk
@@ -9,19 +9,18 @@ class DependencyNode:
chunk_name: str
file_path: Path
module_name: str
dependencies: Set[str] = field(default_factory=set)
dependents: Set[str] = field(default_factory=set)
dependencies: set[str] = field(default_factory=set)
dependents: set[str] = field(default_factory=set)
is_circular: bool = False
class DependencyAnalyzer:
def __init__(self):
self.dependency_graph: Dict[str, DependencyNode] = {}
self.module_to_chunks: Dict[str, List[str]] = {}
self.dependency_graph: dict[str, DependencyNode] = {}
self.module_to_chunks: dict[str, list[str]] = {}
def analyze_dependencies(self, chunks: List[ParsedChunk],
project_files: List[Path]) -> Dict[str, DependencyNode]:
"""Analyze dependencies between chunks."""
def analyze_dependencies(self, chunks: list[ParsedChunk],
project_files: list[Path]) -> dict[str, DependencyNode]:
self.dependency_graph = {}
self.module_to_chunks = {}
@@ -53,16 +52,14 @@ class DependencyAnalyzer:
return self.dependency_graph
def _build_module_cache(self, project_files: List[Path]) -> Dict[Path, str]:
"""Build cache of file to module name mappings."""
cache = {}
def _build_module_cache(self, project_files: list[Path]) -> dict[Path, str]:
cache: dict[Path, str] = {}
for file_path in project_files:
module_name = self._get_module_name(file_path, set(project_files))
cache[file_path] = module_name
return cache
def _get_module_name(self, file_path: Path, project_root: Set[Path]) -> str:
"""Get module name from file path."""
def _get_module_name(self, file_path: Path, project_root: set[Path]) -> str:
try:
if project_root:
root = min(project_root, key=lambda p: len(p.parts))
@@ -84,8 +81,7 @@ class DependencyAnalyzer:
return file_path.stem
def _resolve_import(self, import_str: str, current_file: Path,
project_root: Set[Path], module_cache: Dict[Path, str]) -> Optional[str]:
"""Resolve import string to module name."""
project_root: set[Path], module_cache: dict[Path, str]) -> Optional[str]:
clean_import = import_str.strip()
parts = clean_import.split('.')
@@ -102,7 +98,7 @@ class DependencyAnalyzer:
'torch', 'tensorflow', 'matplotlib', 'scipy', 'sklearn']:
return None
for file_path, module_name in module_cache.items():
for _file_path, module_name in module_cache.items():
if module_name.endswith(base_module) or module_name == base_module:
return module_name
@@ -113,19 +109,17 @@ class DependencyAnalyzer:
return clean_import
def _build_dependency_links(self):
"""Build reverse dependency links (dependents)."""
def _build_dependency_links(self) -> None:
for node in self.dependency_graph.values():
for dep in node.dependencies:
if dep in self.dependency_graph:
self.dependency_graph[dep].dependents.add(node.chunk_name)
def _detect_circular_dependencies(self):
"""Detect circular dependencies in the graph."""
def _detect_circular_dependencies(self) -> None:
visited = set()
rec_stack = set()
def detect_cycle(node_name: str, path: List[str]) -> bool:
def detect_cycle(node_name: str, path: list[str]) -> bool:
visited.add(node_name)
rec_stack.add(node_name)
path.append(node_name)
@@ -150,8 +144,7 @@ class DependencyAnalyzer:
if node_name not in visited:
detect_cycle(node_name, [])
def get_essential_chunks(self, selected_chunks: List[str]) -> List[str]:
"""Get all chunks needed including transitive dependencies."""
def get_essential_chunks(self, selected_chunks: list[str]) -> list[str]:
essential = set(selected_chunks)
to_process = list(selected_chunks)
@@ -166,8 +159,7 @@ class DependencyAnalyzer:
return list(essential)
def get_impacted_chunks(self, modified_chunks: List[str]) -> List[str]:
"""Get all chunks that depend on the modified chunks."""
def get_impacted_chunks(self, modified_chunks: list[str]) -> list[str]:
impacted = set(modified_chunks)
to_process = list(modified_chunks)
@@ -182,8 +174,7 @@ class DependencyAnalyzer:
return list(impacted)
def get_dependency_stats(self) -> Dict[str, int]:
"""Get statistics about dependencies."""
def get_dependency_stats(self) -> dict[str, int]:
stats = {
"total_nodes": len(self.dependency_graph),
"nodes_with_deps": 0,
@@ -199,16 +190,12 @@ class DependencyAnalyzer:
depent_count = len(node.dependents)
stats["total_edges"] += dep_count
if dep_count > 0:
stats["nodes_with_deps"] += 1
if depent_count > 0:
stats["nodes_with_dependents"] += 1
if node.is_circular:
stats["circular_deps"] += 1
stats["max_dependencies"] = max(stats["max_dependencies"], dep_count)
stats["max_dependents"] = max(stats["max_dependents"], depent_count)

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@@ -1,4 +1,3 @@
from typing import List, Optional
from codechunk.core.chunking import ParsedChunk
@@ -10,7 +9,7 @@ class OutputFormatter:
self.max_tokens = max_tokens
self.token_warning_thresholds = [0.7, 0.9, 1.0]
def format(self, chunks: List[ParsedChunk]) -> str:
def format(self, chunks: list[ParsedChunk]) -> str:
"""Format chunks for output."""
if self.format_type == "ollama":
return self._format_ollama(chunks)
@@ -19,7 +18,7 @@ class OutputFormatter:
else:
return self._format_markdown(chunks)
def _format_ollama(self, chunks: List[ParsedChunk]) -> str:
def _format_ollama(self, chunks: list[ParsedChunk]) -> str:
"""Format for Ollama."""
lines = []
lines.append("### System")
@@ -56,7 +55,7 @@ class OutputFormatter:
return "\n".join(lines)
def _format_lmstudio(self, chunks: List[ParsedChunk]) -> str:
def _format_lmstudio(self, chunks: list[ParsedChunk]) -> str:
"""Format for LM Studio."""
import json
@@ -99,7 +98,7 @@ Provide clear, accurate code analysis and assistance."""
return json.dumps(messages, indent=2)
def _format_markdown(self, chunks: List[ParsedChunk]) -> str:
def _format_markdown(self, chunks: list[ParsedChunk]) -> str:
"""Format as markdown."""
lines = []
lines.append("# Code Context")
@@ -183,7 +182,7 @@ Provide clear, accurate code analysis and assistance."""
else:
return True, ratio, "OK"
def prune_for_limit(self, chunks: List[ParsedChunk], max_tokens: int) -> List[ParsedChunk]:
def prune_for_limit(self, chunks: list[ParsedChunk], max_tokens: int) -> list[ParsedChunk]:
"""Prune chunks to fit within token limit."""
result = []
current_tokens = 0

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@@ -1,8 +1,7 @@
from pathlib import Path
from typing import List, Optional, Dict, Any
from dataclasses import dataclass, field
import re
from typing import Optional
import os
import re
from codechunk.core.chunking import ParsedChunk, ChunkMetadata
@@ -41,23 +40,23 @@ LANGUAGE_EXTENSIONS = {
class CodeParser:
def __init__(self):
self.files: List[Path] = []
self.file_contents: Dict[Path, str] = {}
self.files: list[Path] = []
self.file_contents: dict[Path, str] = {}
def detect_language(self, file_path: Path) -> Optional[str]:
"""Detect programming language from file extension."""
ext = file_path.suffix.lower()
return LANGUAGE_EXTENSIONS.get(ext)
def discover_files(self, project_path: Path, include_patterns: List[str],
exclude_patterns: List[str]) -> None:
def discover_files(self, project_path: Path, include_patterns: list[str],
exclude_patterns: list[str]) -> None:
"""Discover source files in project directory."""
from fnmatch import fnmatch
self.files = []
project_path = Path(project_path)
for root, dirs, files in os.walk(project_path):
for root, _dirs, files in os.walk(project_path):
root_path = Path(root)
for file_name in files:
@@ -96,7 +95,7 @@ class CodeParser:
self.file_contents[file_path] = content
return content
def parse_all(self) -> List[ParsedChunk]:
def parse_all(self) -> list[ParsedChunk]:
"""Parse all discovered files."""
chunks = []
for file_path in self.files:
@@ -104,7 +103,7 @@ class CodeParser:
chunks.extend(file_chunks)
return chunks
def parse_file(self, file_path: Path) -> List[ParsedChunk]:
def parse_file(self, file_path: Path) -> list[ParsedChunk]:
"""Parse a single file and extract chunks."""
language = self.detect_language(file_path)
if not language:
@@ -124,7 +123,7 @@ class CodeParser:
else:
return self._parse_generic(file_path, content, lines, language)
def _parse_python(self, file_path: Path, content: str, lines: List[str]) -> List[ParsedChunk]:
def _parse_python(self, file_path: Path, content: str, lines: list[str]) -> list[ParsedChunk]:
"""Parse Python file for classes and functions."""
chunks = []
current_class = None
@@ -284,8 +283,8 @@ class CodeParser:
return chunks
def _parse_js_like(self, file_path: Path, content: str, lines: List[str],
language: str) -> List[ParsedChunk]:
def _parse_js_like(self, file_path: Path, content: str, lines: list[str],
language: str) -> list[ParsedChunk]:
"""Parse JavaScript/TypeScript file."""
chunks = []
imports = self._extract_imports(content, language)
@@ -392,7 +391,7 @@ class CodeParser:
return chunks
def _parse_go(self, file_path: Path, content: str, lines: List[str]) -> List[ParsedChunk]:
def _parse_go(self, file_path: Path, content: str, lines: list[str]) -> list[ParsedChunk]:
"""Parse Go file."""
chunks = []
imports = self._extract_imports(content, "go")
@@ -460,7 +459,7 @@ class CodeParser:
return chunks
def _parse_rust(self, file_path: Path, content: str, lines: List[str]) -> List[ParsedChunk]:
def _parse_rust(self, file_path: Path, content: str, lines: list[str]) -> list[ParsedChunk]:
"""Parse Rust file."""
chunks = []
imports = self._extract_imports(content, "rust")
@@ -528,8 +527,8 @@ class CodeParser:
return chunks
def _parse_generic(self, file_path: Path, content: str, lines: List[str],
language: str) -> List[ParsedChunk]:
def _parse_generic(self, file_path: Path, content: str, lines: list[str],
language: str) -> list[ParsedChunk]:
"""Generic parser for unknown languages."""
chunks = []
imports = self._extract_imports(content, language)
@@ -554,7 +553,7 @@ class CodeParser:
return chunks
def _extract_imports(self, content: str, language: str) -> List[str]:
def _extract_imports(self, content: str, language: str) -> list[str]:
"""Extract import statements from content."""
imports = []
@@ -588,7 +587,7 @@ class CodeParser:
return list(set(imports))
def _extract_docstring(self, lines: List[str]) -> Optional[str]:
def _extract_docstring(self, lines: list[str]) -> Optional[str]:
"""Extract docstring from lines."""
if not lines:
return None
@@ -618,7 +617,7 @@ class CodeParser:
return None
def _parse_params(self, params_str: str) -> List[str]:
def _parse_params(self, params_str: str) -> list[str]:
"""Parse function parameters."""
if not params_str.strip():
return []

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@@ -1,4 +1,4 @@
from typing import Optional, List
from typing import Optional
from codechunk.core.chunking import ParsedChunk
@@ -62,8 +62,6 @@ class CodeSummarizer:
def _summarize_method(self, chunk: ParsedChunk) -> str:
"""Summarize a method."""
class_name = chunk.name.split(".")[0] if "." in chunk.name else "Unknown"
parts = []
parts.append(f"Method: {chunk.name}")
@@ -115,18 +113,18 @@ class CodeSummarizer:
"""Summarize a generic chunk."""
return f"{chunk.chunk_type.capitalize()}: {chunk.name} ({chunk.metadata.line_count} lines)"
def batch_summarize(self, chunks: List[ParsedChunk]) -> List[str]:
def batch_summarize(self, chunks: list[ParsedChunk]) -> list[str]:
"""Generate summaries for multiple chunks."""
return [self.summarize(chunk) for chunk in chunks]
def generate_overview(self, chunks: List[ParsedChunk], project_name: str = "Project") -> str:
def generate_overview(self, chunks: list[ParsedChunk], project_name: str = "Project") -> str:
"""Generate an overview of the project structure."""
lines = []
lines.append(f"# {project_name} Overview")
lines.append("")
type_counts = {}
lang_counts = {}
type_counts: dict[str, int] = {}
lang_counts: dict[str, int] = {}
for chunk in chunks:
type_counts[chunk.chunk_type] = type_counts.get(chunk.chunk_type, 0) + 1

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@@ -1,3 +1,4 @@
import os
from pathlib import Path
from typing import Optional
import hashlib
@@ -47,7 +48,7 @@ def find_files_pattern(directory: Path, patterns: list) -> list:
from fnmatch import fnmatch
matches = []
for root, dirs, files in directory.walk():
for root, dirs, files in os.walk(directory):
for file in files:
file_path = Path(root) / file
rel_path = str(file_path.relative_to(directory))

View File

@@ -1,5 +1,3 @@
"""Pytest configuration and fixtures for codechunk tests."""
import tempfile
from collections.abc import Generator
from pathlib import Path
@@ -458,6 +456,63 @@ export default App;
return temp_project_dir
@pytest.fixture
def vscode_project(temp_project_dir: Path) -> Path:
"""Create a mock VSCode project structure."""
vscode_dir = temp_project_dir / ".vscode"
vscode_dir.mkdir(exist_ok=True)
(vscode_dir / "extensions.json").write_text('''
{
"recommendations": [
"ms-python.python",
"ms-vscode.vscode-typescript-next"
]
}
''')
(vscode_dir / "settings.json").write_text('''
{
"python.defaultInterpreterPath": "/usr/bin/python3",
"editor.formatOnSave": true,
"files.exclude": {
"**/__pycache__": true
}
}
''')
return temp_project_dir
@pytest.fixture
def jetbrains_project(temp_project_dir: Path) -> Path:
"""Create a mock JetBrains project structure."""
idea_dir = temp_project_dir / ".idea"
idea_dir.mkdir(exist_ok=True)
(idea_dir / "misc.xml").write_text('''
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectRootManager">
<output url="file://$PROJECT_DIR$/out" />
</component>
</project>
''')
(idea_dir / "modules.xml").write_text('''
<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/test_project.iml" />
</modules>
</component>
</project>
''')
return temp_project_dir
@pytest.fixture
def mixed_project(temp_project_dir: Path) -> Path:
"""Create a mixed project with Python and Node.js."""