Diabetes Buddy

C 69 completed
Other
containerized / python · small
341
Files
67,818
LOC
2
Frameworks
10
Languages

Pipeline State

completed
Run ID
#386509
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
50.40
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47446
Member of a group with 1 similar repo(s) — canonical #113362 view group →
Top concepts (2)
Project DescriptionWeb Backend
Provenance: Repobility (https://repobility.com) — every score reproducible from /scan/

AI Prompt

Create a multi-agent RAG system in Python for Type 1 Diabetes management. The system must feature mandatory safety guardrails, ensuring answers are grounded in a knowledge base and include medical disclaimers. I need it to support uploading custom PDFs for device-specific advice and use ChromaDB for fast local searching. The interface should allow for command-line interaction, including JSON output and verbose mode, and ideally integrate with tools like Claude Desktop or VS Code Copilot via an MCP. Please structure it using FastAPI and include pytest for testing.
python fastapi rag ai diabetestmanagement chromadb llm safety-guardrails cli pytest
Generated by gemma4:latest

Catalog Information

Multi-agent RAG system for Type 1 Diabetes management with mandatory safety guardrails and authoritative knowledge grounding.

Description

Multi-agent RAG system for Type 1 Diabetes management with mandatory safety guardrails and authoritative knowledge grounding.

Novelty

3/10

Tags

python fastapi rag ai diabetestmanagement chromadb llm safety-guardrails cli pytest

Technologies

anthropic fastapi langchain openai pydantic

Claude Models

claude-opus-4-6

Quality Score

C
69.0/100
Structure
67
Code Quality
72
Documentation
83
Testing
70
Practices
48
Security
75
Dependencies
60

Strengths

  • Good test coverage (129% test-to-source ratio)
  • Consistent naming conventions (snake_case)
  • Containerized deployment (Docker)

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No CI/CD configuration \u2014 manual testing and deployment
  • 8 bare except/catch blocks swallowing errors
  • 2547 duplicate lines detected \u2014 consider DRY refactoring
  • 13 'god files' with >500 LOC need decomposition

Recommendations

  • 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)
  • Replace bare except/catch blocks with specific exception types

Security & Health

12.8h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (0)
Generated by Repobility's multi-pass static-analysis pipeline (https://repobility.com)
Unknown
License
6.1%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
46.3%
markdown
39.5%
json
4.4%
javascript
3.8%
css
3.3%
shell
0.9%
text
0.8%
html
0.6%
yaml
0.3%
ini
0.0%

Frameworks

FastAPI pytest

Concepts (2)

Repobility · code-quality scanner for AI-generated software · https://repobility.com
CategoryNameDescriptionConfidence
Want this analysis on your repo? https://repobility.com/scan/
auto_descriptionProject DescriptionMulti-agent RAG system for Type 1 Diabetes management with mandatory safety guardrails and authoritative knowledge grounding.80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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