AI Analysis
The package has a moderate risk score due to missing author metadata and potential network risks associated with fetching external price data.
- Missing author metadata
- Potential network risks
Per-check LLM notes
- Network: The network call appears to fetch price data, which is likely related to the package's intended functionality involving moon resources in Eve Online.
- Shell: No shell execution patterns were detected, indicating low risk.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The author's name is missing and they appear to be new or inactive, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Medium (5.2/10)
Partial test coverage signals detected
2 test file(s) detected (e.g. test_access.py)
Some documentation present
Detailed PyPI description (2622 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
16 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 100 commits in Solar-Helix-Independent-Transport/allianceauth-corp-tools-moonsSmall but multi-author team (3β4 contributors)
Heuristic Checks
Found 1 network call pattern(s)
ypes={minstr}" response = requests.get(url) price_data = response.json() price_cache = {}
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Repository Solar-Helix-Independent-Transport/allianceauth-corp-tools-moons appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a fully-functional mini-application using the Python package 'allianceauth-corptools-moons' which focuses on moon frack monitoring and taxation within a virtual space environment like Eve Online. This application should provide real-time updates on moon mining activities and calculate taxes based on predefined rules. Hereβs a detailed breakdown of what your application should achieve: 1. **User Authentication**: Integrate with Alliance Auth to ensure only authorized users can access the application. 2. **Moon Frack Monitoring**: Continuously monitor the frack status of moons under different corporations and display this information in a user-friendly interface. 3. **Tax Calculation**: Implement a flexible tax calculation system that supports various configurations such as flat rates, variable rates, and rank-based structures. Ensure that taxes are calculated every two weeks and include all valid taxes from the period. 4. **Customizable Filters**: Allow users to apply filters based on corporation and rank to tailor the tax calculation to specific groups or individuals. 5. **Data Visualization**: Provide visual representations of the data, such as graphs showing tax revenue over time, and pie charts illustrating the distribution of taxes among different ranks or structures. 6. **Real-Time Notifications**: Set up notifications for significant changes in moon frack statuses or when tax calculations exceed certain thresholds. 7. **Detailed Reports**: Generate comprehensive reports that detail the tax collected from each moon, broken down by structure, rank, and period. To utilize the 'allianceauth-corptools-moons' package effectively, follow these steps: - Import necessary modules from the package to handle moon data retrieval and tax calculation. - Configure the package settings according to your needs, including setting up tax groups, tax rates, and filter criteria. - Use the provided functions to fetch moon data and perform real-time analysis. - Implement custom logic to integrate the package functionalities into your application's workflow. Your application should demonstrate proficiency in handling complex data sets, implementing business logic, and providing insightful analytics. Additionally, consider adding features such as API endpoints for external systems to pull data from your application.
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