ansys-fluent-core

v0.39.0 suspicious
5.0
Medium Risk

PyFluent provides Pythonic access to Ansys Fluent.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits potential risks due to shell execution and code obfuscation, which require further investigation to confirm legitimacy. While no immediate signs of malicious activity are evident, these indicators suggest a need for caution.

  • Shell execution detected
  • Use of eval with split indicating possible code obfuscation
Per-check LLM notes
  • Network: No network calls detected.
  • Shell: Shell execution detected may be related to legitimate Docker management commands, but requires further investigation to ensure it aligns with the package's intended functionality.
  • Obfuscation: The use of eval with split might indicate an attempt to obfuscate code, but without more context, it could also be a legitimate part of the package's functionality.
  • Credentials: No suspicious patterns related to credential harvesting were found.
  • Metadata: The author details are incomplete and the account seems new or inactive, but no other suspicious activities are flagged.

📦 Package Quality Overall: Medium (7.4/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_local_parametric_setup.py)
✦ High Documentation 9.0

Well-documented package

  • Documentation URL: "Documentation" -> https://fluent.docs.pyansys.com/
  • 10 documentation file(s) (e.g. api_rstgen.py)
  • Detailed PyPI description (6803 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 102 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 9 unique contributor(s) across 100 commits in ansys/pyfluent
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • resArr[idx1][idx2] = eval(res_tui.split(" ")[-1]) ##################################
⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • ontainers container_ids = subprocess.check_output(["docker", "ps", "-aq"]).decode().split() for container_
  • _id in container_ids: subprocess.run(["docker", "rm", "-f", container_id], check=True) # Rem
  • t set.") images_output = subprocess.check_output( [ "docker", "images",
  • != dev_image_sha: subprocess.run(["docker", "rmi", "-f", image_id], check=True) # Remove
  • else (networks, volumes) subprocess.run(["docker", "system", "prune", "-f", "--volumes"], check=True
  • rator}{fluent_image_tag}" subprocess.run(["docker", "pull", full_image_name], check=True) subproc
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: ansys.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ansys/pyfluent appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 ansys-fluent-core 
Create a Python-based mini-application that leverages the 'ansys-fluent-core' package to automate the setup of basic fluid dynamics simulations in Ansys Fluent. Your application should allow users to input essential parameters such as geometry dimensions, material properties, boundary conditions, and simulation settings. Additionally, it should support the execution of the simulation and the extraction of key results such as pressure distribution, velocity profiles, and flow rates.

Step-by-Step Instructions:
1. Design a user-friendly interface using a Python GUI toolkit like Tkinter or PyQt5 where users can input their simulation parameters.
2. Implement functionality within your application to use 'ansys-fluent-core' to create a new Fluent case file based on the user inputs.
3. Integrate the ability to set up different types of boundary conditions (e.g., inlet, outlet, wall) according to user specifications.
4. Include options for selecting materials and assigning them to different parts of the domain.
5. Enable users to specify simulation controls, such as solver type, convergence criteria, and time steps.
6. Develop a feature to run the Fluent simulation and monitor its progress through the application interface.
7. After the simulation completes, extract and visualize key results directly within the application, using libraries like matplotlib or seaborn for data visualization.
8. Provide options to save the simulation results and export them in formats like CSV or JSON for further analysis.

Suggested Features:
- Real-time validation of user inputs to prevent errors.
- Support for multiple geometries and complex setups.
- Advanced post-processing tools for result analysis.
- Integration with cloud services for remote simulation execution.
- Detailed documentation and user guides.

How 'ansys-fluent-core' is Utilized:
- The package will be used to interact with the Fluent API, enabling the automation of case setup, parameter configuration, and simulation execution. It also facilitates the retrieval of simulation results for post-processing and visualization.

💬 Discussion Feed

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