Strakly Bot

D 52 completed
Other
unknown / python · small
55
Files
6,864
LOC
1
Frameworks
4
Languages

Pipeline State

completed
Run ID
#380121
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
37.19
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47404
Member of a group with 1 similar repo(s) — canonical #102193 view group →
Top concepts (2)
Project DescriptionWeb Backend
Repobility · code-quality intelligence · https://repobility.com

AI Prompt

Build me an AI-powered chatbot for a gym management platform, similar to Strakly Bot. I need it to use RAG for answering natural language queries about gym data. The system should support multi-tenant context extraction using JWTs and be able to call existing NestJS backend APIs. It must generate human-like responses using OpenAI and maintain temporary conversation memory. Please set up the FastAPI structure with endpoints for chat messages and include documentation generation for Swagger UI.
python fastapi ai-chatbot rag openai rest-api jwt gym-management llm
Generated by gemma4:latest

Catalog Information

AI-powered chatbot for Strakly gym management platform using RAG (Retrieval-Augmented Generation).

Description

AI-powered chatbot for Strakly gym management platform using RAG (Retrieval-Augmented Generation).

Novelty

3/10

Tags

python fastapi ai-chatbot rag openai rest-api jwt gym-management llm

Technologies

fastapi langchain

Claude Models

claude-opus-4-6

Quality Score

D
51.7/100
Structure
37
Code Quality
65
Documentation
49
Testing
0
Practices
77
Security
92
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
  • 1225 duplicate lines detected \u2014 consider DRY refactoring

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

4.8h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
All rows above produced by Repobility · https://repobility.com
A
Risk (2)
Unknown
License
6.8%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
82.1%
markdown
17.6%
json
0.2%
text
0.1%

Frameworks

FastAPI

Concepts (2)

Open data · scored by Repobility · https://repobility.com
CategoryNameDescriptionConfidence
Repobility · severity-and-effort ranking · https://repobility.com
auto_descriptionProject DescriptionAI-powered chatbot for Strakly gym management platform using RAG (Retrieval-Augmented Generation).80%
auto_categoryWeb Backendweb-backend70%

LLM Insights

AI-powered chatbot for Strakly gym management platform using Retrieval-Augmented Generation (RAG).structured_summary
info
purpose: AI-powered chatbot for Strakly gym management platform using Retrieval-Augmented Generation (RAG).
primary_domain: web-backend
reference_quality60
reuse_potential: high

Quality Timeline

1 quality score recorded.

View File Metrics
Repobility · severity-and-effort ranking · https://repobility.com

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