Canned Answers Service
F 49 completed
Other
unknown / html · tiny
14
Files
1,928
LOC
2
Frameworks
4
Languages
Pipeline State
completedRun ID
#340605Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
35.96Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:24Deduplication group #56340
Member of a group with 4 similar repo(s) — canonical #102321 view group →
Top concepts (1)
Web Backend
Source: Repobility analyzer · https://repobility.com
AI Prompt
I want to build a backend service using Python and FastAPI that handles canned answers for an equine GPT system. The service should use SQLAlchemy for database interactions and needs to process data involving HTML, JSON, and plain text. Specifically, I need endpoints that can manage canned answers, potentially involving matching logic as suggested by the `freeform_matching.py` file. Please structure the core logic in `app.py` and define the necessary database models in `models.py`.
python fastapi sqlalchemy html json backend api database
Generated by gemma4:latest
Catalog Information
equinegpt__canned-answers-service
Novelty
3/10Tags
python fastapi sqlalchemy html json backend api database
Technologies
fastapi sqlalchemy
Claude Models
claude-opus-4-6
Quality Score
F
48.6/100
Structure
33
Code Quality
60
Documentation
34
Testing
0
Practices
80
Security
100
Dependencies
60
Strengths
- Consistent naming conventions (snake_case)
- Good security practices \u2014 no major issues detected
Weaknesses
- Missing README file \u2014 critical for project understanding
- No LICENSE file \u2014 legal ambiguity for contributors
- No tests found \u2014 high risk of regressions
- No CI/CD configuration \u2014 manual testing and deployment
- 234 duplicate lines detected \u2014 consider DRY refactoring
- 1 'god files' with >500 LOC need decomposition
Recommendations
- Add a comprehensive README.md explaining purpose, setup, usage, and architecture
- Add a test suite \u2014 start with critical path integration tests
- 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)
Security & Health
4.1h
Tech Debt (D)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (17)
Repobility — the code-quality scanner for AI-generated software · https://repobility.com
Unknown
License
9.7%
Duplication
Languages
Frameworks
FastAPI SQLAlchemy
Concepts (1)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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