Eu Fl Bl

D 59 completed
Other
unknown / sql · tiny
17
Files
258
LOC
1
Frameworks
3
Languages

Pipeline State

completed
Run ID
#1506166
Phase
done
Progress
0%
Started
2026-04-16 13:06:11
Finished
2026-04-16 13:06:11
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
36.39
Framework unique
Isolation
Last stage change
2026-05-10 03:35:10
Deduplication group #55853
Member of a group with 4 similar repo(s) — canonical #1518689 view group →
Repobility · code-quality intelligence · https://repobility.com

AI Prompt

I need a basic project structure set up for a Python application that uses SQL for data management. Can you create the necessary directories, including `config/`, `migrations/`, and `tests/`? Please also include a sample `.env.example` file and a `requirements.txt` listing basic dependencies. Since this seems to be a data-focused project, please ensure the structure is ready for testing using pytest.
python sql pytest database project-setup backend
Generated by gemma4:latest

Catalog Information

I need a basic project structure set up for a Python application that uses SQL for data management. Can you create the necessary directories, including config/, migrations/, and tests/? Please also include a sample .env.example file and a requirements.txt listing basic dependencies. Since this seems to be a data-focused project, please ensure the structure is ready for testing using pytest.

Tags

python sql pytest database project-setup backend

Quality Score

D
59.2/100
Structure
53
Code Quality
80
Documentation
15
Testing
40
Practices
70
Security
100
Dependencies
80

Strengths

  • Consistent naming conventions (snake_case)
  • Low average code complexity — well-structured code
  • Good security practices — no major issues detected

Weaknesses

  • Missing README file — critical for project understanding
  • No LICENSE file — legal ambiguity for contributors
  • No CI/CD configuration — manual testing and deployment

Recommendations

  • Add a comprehensive README.md explaining purpose, setup, usage, and architecture
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Languages

sql
69.7%
python
25.6%
text
4.7%

Frameworks

pytest

Symbols

constant17
function2
variable1

Quality Timeline

1 quality score recorded.

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