|
1 | | -# codeanalyzer-python |
| 1 | + |
| 2 | + |
2 | 3 | Python Static Analysis Backend for CLDK |
| 4 | + |
| 5 | +A comprehensive static analysis tool for Python source code that provides symbol table generation, call graph analysis, and semantic analysis using Jedi, CodeQL, and Tree-sitter. |
| 6 | + |
| 7 | +## Installation |
| 8 | + |
| 9 | +This project uses [uv](https://docs.astral.sh/uv/) for dependency management. |
| 10 | + |
| 11 | +### Prerequisites |
| 12 | + |
| 13 | +- Python 3.12 or higher |
| 14 | +- [uv](https://docs.astral.sh/uv/getting-started/installation/) installed |
| 15 | + |
| 16 | +### Setup |
| 17 | + |
| 18 | +1. Clone the repository: |
| 19 | + ```bash |
| 20 | + git clone <repository-url> |
| 21 | + cd codeanalyzer-python |
| 22 | + ``` |
| 23 | + |
| 24 | +2. Install dependencies using uv: |
| 25 | + ```bash |
| 26 | + uv sync --all-groups |
| 27 | + ``` |
| 28 | + |
| 29 | + This will install all dependencies including development and test dependencies. |
| 30 | + |
| 31 | +3. Install the package in development mode: |
| 32 | + ```bash |
| 33 | + uv pip install -e . |
| 34 | + ``` |
| 35 | + |
| 36 | +## Usage |
| 37 | + |
| 38 | +The codeanalyzer provides a command-line interface for performing static analysis on Python projects. |
| 39 | + |
| 40 | +### Basic Usage |
| 41 | + |
| 42 | +```bash |
| 43 | +codeanalyzer --input /path/to/python/project |
| 44 | +``` |
| 45 | + |
| 46 | +### Command Line Options |
| 47 | + |
| 48 | +- `-i, --input PATH`: **Required.** Path to the project root directory to analyze. |
| 49 | +- `-o, --output PATH`: Output directory for analysis artifacts. If specified, results will be saved to `analysis.json` in this directory. |
| 50 | +- `-a, --analysis-level INTEGER`: Analysis depth level (default: 1) |
| 51 | + - `1`: Symbol table generation |
| 52 | + - `2`: Call graph analysis |
| 53 | +- `--codeql/--no-codeql`: Enable or disable CodeQL-based analysis (default: disabled) |
| 54 | +- `--eager/--lazy`: Analysis mode (default: lazy) |
| 55 | + - `--eager`: Rebuild analysis cache at every run |
| 56 | + - `--lazy`: Use existing cache if available |
| 57 | +- `-c, --cache-dir PATH`: Directory to store analysis cache. Defaults to `.cache/codeanalyzer` in current working directory. |
| 58 | +- `--clear-cache/--keep-cache`: Clear cache after analysis (default: clear) |
| 59 | +- `-v/-q, --verbose/--quiet`: Enable or disable verbose output (default: verbose) |
| 60 | + |
| 61 | +### Examples |
| 62 | + |
| 63 | +1. **Basic analysis with symbol table:** |
| 64 | + ```bash |
| 65 | + codeanalyzer --input ./my-python-project |
| 66 | + ``` |
| 67 | + |
| 68 | + This will print the symbol table to stdout in JSON format to the standard output. If you want to save the output, you can use the `--output` option. |
| 69 | + |
| 70 | + ```bash |
| 71 | + codeanalyzer --input ./my-python-project --output /path/to/analysis-results |
| 72 | + ``` |
| 73 | + |
| 74 | + Now, you can find the analysis results in `analysis.json` in the specified directory. |
| 75 | + |
| 76 | +2. **Toggle analysis levels with `--analysis-level`:** |
| 77 | + ```bash |
| 78 | + codeanalyzer --input ./my-python-project --analysis-level 1 # Symbol table only |
| 79 | + ``` |
| 80 | + Call graph analysis can be enabled by setting the level to `2`: |
| 81 | + ```bash |
| 82 | + codeanalyzer --input ./my-python-project --analysis-level 2 # Symbol table + Call graph |
| 83 | + ``` |
| 84 | + ***Note: The `--analysis-level=2` is not yet implemented in this version.*** |
| 85 | + |
| 86 | +3. **Analysis with CodeQL enabled:** |
| 87 | + ```bash |
| 88 | + codeanalyzer --input ./my-python-project --codeql |
| 89 | + ``` |
| 90 | + This will perform CodeQL-based analysis in addition to the standard symbol table generation. |
| 91 | + |
| 92 | + ***Note: Not yet fully implemented. Please refrain from using this option until further notice.*** |
| 93 | + |
| 94 | +4. **Eager analysis with custom cache directory:** |
| 95 | + ```bash |
| 96 | + codeanalyzer --input ./my-python-project --eager --cache-dir /path/to/custom-cache |
| 97 | + ``` |
| 98 | + This will rebuild the analysis cache at every run and store it in `/path/to/custom-cache/.codeanalyzer`. The cache will be cleared by default after analysis unless you specify `--keep-cache`. |
| 99 | + |
| 100 | + If you provide --cache-dir, the cache will be stored in that directory. If not specified, it defaults to `.codeanalyzer` in the current working directory (`$PWD`). |
| 101 | + |
| 102 | +5. **Quiet mode (minimal output):** |
| 103 | + ```bash |
| 104 | + codeanalyzer --input /path/to/my-python-project --quiet |
| 105 | + ``` |
| 106 | + |
| 107 | +### Output |
| 108 | + |
| 109 | +By default, analysis results are printed to stdout in JSON format. When using the `--output` option, results are saved to `analysis.json` in the specified directory. |
| 110 | + |
| 111 | +## Development |
| 112 | + |
| 113 | +### Running Tests |
| 114 | + |
| 115 | +```bash |
| 116 | +uv run pytest --pspec -s |
| 117 | +``` |
| 118 | + |
| 119 | +### Development Dependencies |
| 120 | + |
| 121 | +The project includes additional dependency groups for development: |
| 122 | + |
| 123 | +- **test**: pytest and related testing tools |
| 124 | +- **dev**: development tools like ipdb |
| 125 | + |
| 126 | +Install all groups with: |
| 127 | +```bash |
| 128 | +uv sync --all-groups |
| 129 | +``` |
0 commit comments