Sailson Ai
D 56 completed
Other
web_app / python · tiny
34
Files
7,800
LOC
2
Frameworks
9
Languages
Pipeline State
completedRun ID
#392294Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
55.67Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:24Deduplication group #48605
Member of a group with 9 similar repo(s) — canonical #77024 view group →
Top concepts (2)
Project DescriptionWeb Backend
All rows scored by the Repobility analyzer (https://repobility.com)
AI Prompt
Create a multi-departmental collaboration platform for AI public opinion analysis and competitor monitoring. The system needs core features like intelligent classification and sentiment analysis for Facebook comments, and data scraping/report generation for TikTok competitor monitoring. It should also include user management with multi-department permissions and real-time tracking of API consumption costs. The backend should use Flask and SQLAlchemy, and I need to integrate with an AI service like Alibaba's Qwen-turbo. Please structure the setup to handle database initialization for user, usage, and analysis results.
python flask sqlalchemy web-app ai public-opinion competitor-monitoring api database
Generated by gemma4:latest
Catalog Information
多部门协作的 AI 舆情分析和竞品监控平台
Description
多部门协作的 AI 舆情分析和竞品监控平台
Novelty
3/10Tags
python flask sqlalchemy web-app ai public-opinion competitor-monitoring api database
Technologies
flask openai sqlalchemy
Claude Models
claude-opus-4-6
Quality Score
D
56.4/100
Structure
53
Code Quality
59
Documentation
63
Testing
30
Practices
58
Security
84
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 CI/CD configuration \u2014 manual testing and deployment
- 8 bare except/catch blocks swallowing errors
- 663 duplicate lines detected \u2014 consider DRY refactoring
- 1 '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
5.6h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (2)
Repobility — the code-quality scanner for AI-generated software · https://repobility.com
Unknown
License
8.2%
Duplication
Languages
Frameworks
Flask SQLAlchemy
Concepts (2)
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| auto_description | Project Description | 多部门协作的 AI 舆情分析和竞品监控平台 | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Backend | web-backend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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