Geoint Briefing

F 49 completed
Other
web_app / python · tiny
30
Files
2,951
LOC
1
Frameworks
5
Languages

Pipeline State

completed
Run ID
#394554
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
29.32
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #49518
Member of a group with 1 similar repo(s) — canonical #117760 view group →
Top concepts (1)
Web Backend
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AI Prompt

I want to build a web application using Python and FastAPI that processes and generates geo-intelligence briefings. The system should handle data ingestion, market processing, and potentially schedule tasks. I see files for checking briefings, configuration management, and a main entry point. Can you set up the basic structure so I can focus on the core logic within the `ingestion/` and `market/` directories? Please ensure the project structure is ready for deployment, considering the presence of a `Procfile` and `railway.toml`.
python fastapi web-app geoint data-processing backend
Generated by gemma4:latest

Catalog Information

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Description

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Novelty

3/10

Tags

python fastapi web-app geoint data-processing backend

Technologies

anthropic fastapi

Claude Models

claude-opus-4-6

Quality Score

F
49.4/100
Structure
34
Code Quality
79
Documentation
18
Testing
0
Practices
73
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
  • 174 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 (C)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (16)
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Unknown
License
4.5%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
61.8%
html
36.4%
markdown
1.2%
text
0.4%
toml
0.3%

Frameworks

FastAPI

Concepts (1)

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CategoryNameDescriptionConfidence
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
auto_categoryWeb Backendweb-backend70%

Quality Timeline

1 quality score recorded.

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