atoti-server-gcp

v0.9.15 safe
3.0
Low Risk

Deprecated: use atoti-server-storage-gcp instead

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, obfuscations, or credential mishandling detected. The metadata suggests a single-package author but does not raise significant concerns.

  • No network calls
  • Single-package author
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external services.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
  • Metadata: The author has only one package, suggesting a potentially new or less active account, but no other red flags are present.

📦 Package Quality Overall: Low (3.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
○ Low Documentation 1.0

No documentation detected

  • No documentation URL, doc files, or meaningful description found
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in atoti/atoti
  • Two distinct contributors found

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

Code Obfuscation

No obfuscation patterns detected

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: activeviam.com>

Suspicious Page Links

All external links appear legitimate

Git Repository History

Repository atoti/atoti appears legitimate

Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "ActiveViam" 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 atoti-server-gcp
Your task is to develop a mini-application that helps a small business manage its inventory data stored on Google Cloud Platform (GCP). The application will leverage the 'atoti-server-gcp' package to interact with GCP storage services, although note that 'atoti-server-gcp' has been deprecated and you should consider using 'atoti-server-storage-gcp' as an alternative. Your application should perform the following steps:

1. **Setup and Configuration**: Begin by setting up your development environment. Ensure that you have Python installed along with necessary packages like 'pandas', 'requests', and 'google-cloud-storage'. Since 'atoti-server-gcp' is deprecated, research and integrate 'atoti-server-storage-gcp' into your project.
2. **Data Ingestion**: Design a function that can read CSV files from a specified GCP bucket and load them into a pandas DataFrame. This function should handle authentication with GCP services using service account keys.
3. **Data Processing**: Implement functionality to clean and preprocess the data. This might include handling missing values, converting data types, and filtering out irrelevant records.
4. **Inventory Analysis**: Create a module within your application that performs basic inventory analysis such as calculating total stock value, identifying low stock items, and tracking sales trends over time.
5. **Data Visualization**: Integrate a simple visualization library (such as matplotlib or seaborn) to display key inventory metrics in graphical form. For instance, you could create line charts showing sales trends or bar graphs indicating stock levels.
6. **Reporting**: Develop a feature that generates a PDF report summarizing the inventory analysis results. Use libraries like 'FPDF' or 'reportlab' for generating the PDFs.
7. **User Interface**: Although not mandatory, consider adding a basic command-line interface (CLI) using 'argparse' to allow users to interact with your application more easily. Users should be able to specify which GCP bucket to read from and customize the analysis parameters.
8. **Documentation**: Write comprehensive documentation for your application, including setup instructions, usage guidelines, and examples of how to run different analyses.

Throughout the project, focus on utilizing 'atoti-server-storage-gcp' effectively for interacting with GCP storage services. Despite the deprecation notice, ensure that your solution is robust and adaptable to future changes in the underlying package.

💬 Discussion Feed

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