Amore Pacific Rag Kg Hybrid Agent
C+ 73 completed
Other
containerized / python · medium
678
Files
156,567
LOC
2
Frameworks
9
Languages
Pipeline State
completedRun ID
#389052Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
67.13Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:34Deduplication 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
3/10Tags
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
Languages
Frameworks
FastAPI pytest
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| auto_description | Project Description | > Amazon US 시장에서 LANEIGE 브랜드 경쟁력을 분석하는 자율 AI 에이전트 | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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