Amore Pacific Rag Kg Hybrid Agent

C+ 73 completed
Other
containerized / python · medium
678
Files
156,567
LOC
2
Frameworks
9
Languages

Pipeline State

completed
Run ID
#389052
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
67.13
Framework unique
Isolation
Last stage change
2026-05-10 03:35:34
Deduplication group #47446
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionWeb Backend
Repobility · code-quality intelligence · https://repobility.com

AI Prompt

Build me an autonomous AI agent designed to analyze the competitive strength of the LANEIGE brand in the Amazon US market. I need this agent to integrate several advanced components: a RAG system, a Knowledge Graph, and an OWL Ontology for rule-based inference. The system should crawl Amazon bestsellers daily for 5 categories across 100 products each, using Playwright for crawling. The core logic should be driven by a ReAct Agent that can handle complex, self-reflecting questions. Finally, I want a FastAPI backend that exposes a dashboard where I can view KPI analyses like SoS and HHI, and export reports in an IR-Style format.
python fastapi ai-agent rag knowledge-graph playwright amazon-analysis autonomous web-scraping
Generated by gemma4:latest

Catalog Information

> Amazon US 시장에서 LANEIGE 브랜드 경쟁력을 분석하는 자율 AI 에이전트

Description

> Amazon US 시장에서 LANEIGE 브랜드 경쟁력을 분석하는 자율 AI 에이전트

Novelty

3/10

Tags

python fastapi ai-agent rag knowledge-graph playwright amazon-analysis autonomous web-scraping

Technologies

fastapi openai pydantic

Claude Models

claude-opus-4-6

Quality Score

C+
73.1/100
Structure
84
Code Quality
74
Documentation
80
Testing
85
Practices
57
Security
47
Dependencies
60

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (69% test-to-source ratio)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Containerized deployment (Docker)
  • Properly licensed project

Weaknesses

  • 1 files with critical complexity need refactoring
  • Potential hardcoded secrets in 2 files
  • 6357 duplicate lines detected \u2014 consider DRY refactoring
  • 31 'god files' with >500 LOC need decomposition

Recommendations

  • Move hardcoded secrets to environment variables or a secrets manager

Security & Health

17.3h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (0)
All rows scored by the Repobility analyzer (https://repobility.com)
MIT
License
5.2%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
79.8%
markdown
17.2%
xml
1.2%
json
0.9%
html
0.5%
text
0.1%
shell
0.1%
yaml
0.1%
toml
0.1%

Frameworks

FastAPI pytest

Concepts (2)

Source: Repobility analyzer (https://repobility.com)
CategoryNameDescriptionConfidence
All rows scored by the Repobility analyzer (https://repobility.com)
auto_descriptionProject Description> Amazon US 시장에서 LANEIGE 브랜드 경쟁력을 분석하는 자율 AI 에이전트80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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