Pymilvus
C 62 completed
Library
containerized / python · small
330
Files
77,007
LOC
1
Frameworks
7
Languages
Pipeline State
completedRun ID
#360995Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
60.67Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:24Deduplication group #48546
Member of a group with 14 similar repo(s) — this repo is canonical view group →
Top concepts (2)
Project DescriptionTesting
Powered by Repobility — scan your code at https://repobility.com
AI Prompt
Create a Python SDK wrapper for interacting with the Milvus database. I need the project structure to support contribution guidelines, include examples, and handle installation via pip. Please ensure the setup includes necessary documentation and testing utilities, perhaps using pytest for testing and providing a Dockerfile for containerization.
python sdk milvus database containerization pytest api
Generated by gemma4:latest
Catalog Information
The pymilvus project provides a Python SDK for interacting with the Milvus database.
Description
pymilvus is a Python library that enables developers to interact with the Milvus database. It allows users to perform various operations, such as data insertion, query, and indexing. The library is designed to be efficient and scalable, making it suitable for large-scale applications.
الوصف
هذا المكتبة البرمجية للغة البايثون التي تسمح للمطورين بالتفاعل مع قاعدة البيانات ميلفوس. يمكن المستخدمين من خلالها إجراء عمليات مختلفة مثل إضافة البيانات، الاستعلام والتنسيق. تم تصميم المكتبة ليكون لها كفاءة و قابلية التوسعة عالية، مما يجعلها مناسبة للتطبيقات على نطاق واسع.
Novelty
5/10Tags
database-interaction data-insertion querying indexing large-scale-applications
Technologies
numpy pandas scipy
Claude Models
claude-opus-4.6
Quality Score
C
61.5/100
Structure
79
Code Quality
52
Documentation
69
Testing
75
Practices
47
Security
40
Dependencies
60
Strengths
- CI/CD pipeline configured (github_actions)
- Good test coverage (45% test-to-source ratio)
- Code linting configured (ruff (possible))
- Consistent naming conventions (snake_case)
- Containerized deployment (Docker)
- Properly licensed project
Weaknesses
- 2 files with critical complexity need refactoring
- Potential hardcoded secrets in 15 files
- 13613 duplicate lines detected \u2014 consider DRY refactoring
- 17 'god files' with >500 LOC need decomposition
Recommendations
- Move hardcoded secrets to environment variables or a secrets manager
- Address 28 TODO/FIXME items \u2014 consider tracking them as issues
Security & Health
23.6h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Provenance: Repobility (https://repobility.com) — every score reproducible from /scan/
Apache-2.0
License
26.5%
Duplication
Languages
Frameworks
pytest
Concepts (2)
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| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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