A Python dependency analyzer for import parsing and metadata extraction.
Project description
README.md
fnet-import-parser
fnet-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-import-parser
Usage
Command-Line Interface (CLI)
The tool provides a CLI for analyzing Python files.
Basic Usage
fnet-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 (jsonoryaml).
Example
Input Script: example.py
import os
import sys
# @hint: requests (channel=pypi)
import requests
from mymodule import myfunc
Running the Command
fnet-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-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. 🚀
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file fnet_import_parser-0.1.0.tar.gz.
File metadata
- Download URL: fnet_import_parser-0.1.0.tar.gz
- Upload date:
- Size: 6.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cf34def29dd5761528e51310d48dc02a2d3d96526ff3ddb1f43e212bf72bf0b0
|
|
| MD5 |
60f381ce1ae697ceb210162c2b348297
|
|
| BLAKE2b-256 |
6905de8eb4ed2a30c5b22055e77e633e17d87757e93c09c2a86c5beb5f9b6d97
|
File details
Details for the file fnet_import_parser-0.1.0-py3-none-any.whl.
File metadata
- Download URL: fnet_import_parser-0.1.0-py3-none-any.whl
- Upload date:
- Size: 6.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
690e59e2ca713bbe6dbaf5120cab541bffa4482bf8714c0c6536a2c21bbd119e
|
|
| MD5 |
7d16361336e2eedd1b3381da7ef82652
|
|
| BLAKE2b-256 |
1eb27173df1c90b9dac642c5dee6642fbc02296002ec97b97d18b8060024ed55
|