Fie2

F 47 completed
Web App
unknown / python · tiny
10
Files
2,992
LOC
2
Frameworks
5
Languages

Pipeline State

completed
Run ID
#365526
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
51.86
Framework unique
Isolation
Last stage change
2026-05-10 03:35:28
Deduplication group #48897
Member of a group with 11 similar repo(s) — canonical #28527 view group →
Top concepts (2)
Project DescriptionWeb Backend
Repobility — the code-quality scanner for AI-generated software · https://repobility.com

AI Prompt

Create a financial intelligence web application, similar to the JHAVERI FIE. I need a backend built with FastAPI that can act as a webhook receiver and a REST API. The application should use Streamlit for the frontend, which will be proxied through FastAPI. For data, please integrate Yahoo Finance using `yfinance` to pull price data, handling NSE/BSE index mapping. The system needs to connect to a PostgreSQL database (or SQLite for local testing) using SQLAlchemy, and it should be structured to process and display financial insights and alerts for traders.
python fastapi streamlit sqlalchemy yfinance finance web-app api postgresql data-analysis
Generated by gemma4:latest

Catalog Information

The JHAVERI Financial Intelligence Engine (FIE) is a web application designed to provide financial insights and alerts for traders.

Description

FIE is a Phase 2 MVP of the JHAVERI Financial Intelligence Engine, built using FastAPI as the backend framework. It integrates with PostgreSQL and SQLite databases, Yahoo Finance for price data, and Railway for deployment. The application provides trading view alert templates for strategy alerts and indicator alerts.

الوصف

هي محرك الذكاء المالي جيهافري (FIE) هو تطبيق ويب مصمم لتقديم نظرة عامة مالية وتنبيهات للمتداولين. هي مرحلة 2 من مشروع FIE، تم بناؤها باستخدام FastAPI كفرع عمل الخلفية. وهي متكاملة مع قواعد البيانات PostgreSQL و SQLite ومصادر الأسعار من Yahoo Finance وتسجيل النشر Railway. يوفّر التطبيق شقوق التنبيهات في TradingView للتنبيهات الاستراتيجية والتنبيهات المؤشرية.

Novelty

7/10

Tags

financial-insights trading-alerts price-data database-integration deployment-tool

Technologies

fastapi pandas plotly pydantic sqlalchemy streamlit uvicorn

Claude Models

claude-opus-4.6

Quality Score

F
47.0/100
Structure
40
Code Quality
42
Documentation
58
Testing
0
Practices
66
Security
100
Dependencies
60

Strengths

  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected

Weaknesses

  • 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
  • 6 bare except/catch blocks swallowing errors
  • 281 duplicate lines detected \u2014 consider DRY refactoring
  • 3 'god files' with >500 LOC need decomposition

Recommendations

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

Security & Health

6.8h
Tech Debt (D)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (18)
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
Unknown
License
2.5%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
97.9%
markdown
1.2%
text
0.7%
toml
0.2%
shell
0.0%

Frameworks

FastAPI SQLAlchemy

Concepts (2)

Repobility · code-quality scanner for AI-generated software · https://repobility.com
CategoryNameDescriptionConfidence
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
auto_descriptionProject Description- Backend: FastAPI (webhook receiver, REST API, Streamlit reverse proxy) - Frontend: Streamlit (proxied through FastAPI for single-port deployment) - Database: PostgreSQL (Railway) / SQLite (local dev)80%
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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