Dex Rag

F 43 completed
Other
unknown / python · small
50
Files
9,688
LOC
0
Frameworks
3
Languages

Pipeline State

completed
Run ID
#1546174
Phase
done
Progress
0%
Started
2026-04-16 23:49:28
Finished
2026-04-16 23:49:28
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
35.02
Framework unique
Isolation
Last stage change
2026-05-10 03:34:46
Deduplication group #47242
Member of a group with 6,089 similar repo(s) — canonical #190789 view group →
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AI Prompt

I want to build a Retrieval-Augmented Generation (RAG) system using Python for the dropdownlogistics project. The system needs to handle various data ingestion tasks, including OCR processing, XLSX file handling, and general text ingestion. Please structure the core logic around modules like `dex_pipeline.py` and `dex_query.py`. It should be able to fetch data, process it, and use model files (like those in `Modelfile.dexjr-*`) to enhance responses, while also providing utilities for auditing and data conversion.
python rag data-processing ai retrieval-augmented-generation
Generated by gemma4:latest

Catalog Information

I want to build a Retrieval-Augmented Generation (RAG) system using Python for the dropdownlogistics project. The system needs to handle various data ingestion tasks, including OCR processing, XLSX file handling, and general text ingestion. Please structure the core logic around modules like dex_pipeline.py and dex_query.py. It should be able to fetch data, process it, and use model files (like those in Modelfile.dexjr-*) to enhance responses, while also providing utilities for auditing an

Tags

python rag data-processing ai retrieval-augmented-generation

Quality Score

F
43.4/100
Structure
28
Code Quality
74
Documentation
28
Testing
0
Practices
46
Security
84
Dependencies
90

Strengths

  • Good security practices — no major issues detected

Weaknesses

  • Missing README file — critical for project understanding
  • No LICENSE file — legal ambiguity for contributors
  • No tests found — high risk of regressions
  • No CI/CD configuration — manual testing and deployment
  • 8 bare except/catch blocks swallowing errors
  • 206 duplicate lines detected — consider DRY refactoring
  • 4 'god files' with >500 LOC need decomposition

Recommendations

  • Add a comprehensive README.md explaining purpose, setup, usage, and architecture
  • Add a test suite — 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
  • Address 34 TODO/FIXME items — consider tracking them as issues

Languages

python
71.1%
markdown
24.6%
text
4.3%

Frameworks

None detected

Symbols

function160
constant152
variable21
class6
method6

API Endpoints (4)

All metrics by Repobility · https://repobility.com
MethodPathHandlerFramework
Generated by Repobility's multi-pass static-analysis pipeline (https://repobility.com)
GET/rootFastAPI/Flask
POST/mindframe/chatmindframe_chatFastAPI/Flask
GET/searchsearchFastAPI/Flask
GET/statsstatsFastAPI/Flask

Quality Timeline

1 quality score recorded.

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BinComp Dependency Hardening

All packages →
5 of this repo's dependencies have been scanned for binary hardening. Grade reflects RELRO / stack canary / FORTIFY / PIE coverage.
Nrequests2.33.1 · 0 gadgets · risk 3687.0Nfastapi0.135.3 · 0 gadgets · risk 0.0Nopenpyxl3.1.5 · 0 gadgets · risk 0.0Npydantic2.12.5 · 0 gadgets · risk 0.0Nuvicorn0.44.0 · 0 gadgets · risk 0.0