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fnet-py-import-parser

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fnet-py-import-parser

A Python dependency analyzer for import parsing and metadata extraction.

  • 0.0.3
  • PyPI
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README.md

fnet-py-import-parser

fnet-py-import-parser is a powerful Python dependency analyzer that parses import statements, extracts metadata, and provides insights into your project's dependencies. It supports detecting unused imports, resolving circular dependencies, and exporting results in structured formats like JSON or YAML.


Features

  • Dependency Analysis: Identifies and categorizes built-in, third-party, and local dependencies.
  • Unused Import Detection: Highlights unused imports for cleanup.
  • Metadata Extraction: Extracts metadata hints from comments above import statements.
  • Circular Dependency Detection: Warns about circular dependencies in the analyzed files.
  • Flexible Output Formats: Provides results in both JSON and YAML formats.

Installation

Install the package using pip:

pip install fnet-py-import-parser

Usage

Command-Line Interface (CLI)

The tool provides a CLI for analyzing Python files.

Basic Usage
fnet-py-import-parser --entry_file path/to/your_script.py --output_format json
Options
  • --entry_file: The entry point Python file for analysis (required).
  • --output_format: The format for the results (json or yaml).

Example

Input Script: example.py
import os
import sys
# @hint: requests (channel=pypi)
import requests
from mymodule import myfunc
Running the Command
fnet-py-import-parser --entry_file example.py --output_format json
Output (JSON)
{
  "all": [
    {
      "type": "builtin",
      "path": "os",
      "imported_by": [
        {
          "path": "example.py",
          "used": true,
          "line": 1
        }
      ]
    },
    {
      "type": "builtin",
      "path": "sys",
      "imported_by": [
        {
          "path": "example.py",
          "used": true,
          "line": 2
        }
      ]
    },
    {
      "type": "package",
      "path": "requests",
      "imported_by": [
        {
          "path": "example.py",
          "used": true,
          "line": 3
        }
      ],
      "metadata": {
        "package": "requests",
        "channel": "pypi"
      }
    },
    {
      "type": "local",
      "path": "mymodule",
      "imported_by": [
        {
          "path": "example.py",
          "used": true,
          "line": 4
        }
      ]
    }
  ],
  "unreferenced": [],
  "unnecessary": [],
  "required": {
    "builtin": [
      {
        "type": "builtin",
        "path": "os"
      },
      {
        "type": "builtin",
        "path": "sys"
      }
    ],
    "third-party": [
      {
        "type": "package",
        "path": "requests",
        "metadata": {
          "package": "requests",
          "channel": "pypi"
        }
      }
    ],
    "local": [
      {
        "type": "local",
        "path": "mymodule"
      }
    ]
  }
}

Python API

You can also use fnet-py-import-parser programmatically in your Python projects.

Example
from src.index import default

kwargs = {
    "entry_file": "path/to/your_script.py",
    "output_format": "yaml"
}
result = default(**kwargs)
print(result)

License

This project is licensed under the MIT License. See the LICENSE file for details.


This README provides a complete, concise, and user-friendly introduction to your project, ensuring anyone can easily understand and get started with it. 🚀

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