AI Analysis
Final verdict: SAFE
The aiogzip package is deemed safe based on the analysis. It does not pose significant risks in terms of network or shell interactions, and there is no evidence of malicious intent.
- No network or shell execution observed.
- Incomplete author information and potential inactivity are noted but do not indicate malicious behavior.
Per-check LLM notes
- Network: No network calls are expected and observed, which is normal for a utility package like aiogzip.
- Shell: No shell execution is expected and observed, which is normal for a utility package like aiogzip.
- Obfuscation: The observed pattern appears to be related to decompressing data with specific parameters rather than malicious obfuscation.
- Credentials: No suspicious patterns indicating credential harvesting were found.
- Metadata: The author's information is incomplete and the maintainer might be new or inactive, which raises some suspicion but not enough to conclude malice.
Package Quality Overall: Medium (6.0/10)
✦ High
Test Suite
9.0
Test suite present — 21 test file(s) found
Test runner config found: pyproject.toml21 test file(s) detected (e.g. test_aiocsv.py)
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (6098 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
7.0
Partial type annotation coverage
Classifier: Typing :: Typed66 type-annotated function signatures detected in source
◈ Medium
Multiple Contributors
5.0
Limited contributor diversity
1 unique contributor(s) across 100 commits in geoff-davis/aiogzipSingle author but highly active (100 commits)
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 2.0
Found 1 obfuscation pattern(s)
the original. assert zlib.decompress(fast_bytes, wbits=-_engine.MAX_WBITS) == data def test_
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: keksi.ai>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository geoff-davis/aiogzip appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with aiogzip
Create a fully-functional asynchronous CSV file processing tool using Python, which leverages the 'aiogzip' library for efficient handling of compressed files. This tool will enable users to perform various operations on CSV data stored within gzip-compressed files, such as reading, filtering, and writing back to new compressed files. Here are the key steps and features your application should include: 1. **Setup Environment**: Begin by setting up a virtual environment for your project and installing necessary packages including 'aiogzip', 'aiocsv', and any other dependencies required. 2. **Reading Compressed Files**: Implement functionality to asynchronously read gzip-compressed CSV files. Use 'aiogzip' to handle the decompression process efficiently. 3. **Data Processing**: Allow users to specify filters or transformations they want to apply to the CSV data. For example, you could provide options to filter rows based on certain column values, aggregate data, or modify specific columns. 4. **Writing Back to Files**: Once the data has been processed, provide the ability to write the modified data back into a new gzip-compressed CSV file. Again, utilize 'aiogzip' for compression. 5. **User Interface**: Develop a simple command-line interface (CLI) where users can interact with your tool. They should be able to input commands to specify actions like reading a file, applying filters, and writing results. 6. **Error Handling & Logging**: Ensure robust error handling and logging mechanisms are in place to manage exceptions and log important events during file operations. 7. **Testing**: Write unit tests to validate each component of your application works as expected under different scenarios. 8. **Documentation**: Provide comprehensive documentation explaining how to install, configure, and use your tool effectively. By following these steps and incorporating these features, you'll create a powerful yet easy-to-use utility that demonstrates the capabilities of the 'aiogzip' package in real-world applications.