Patientpartner
D 55 completed
Other
unknown / python · small
61
Files
9,384
LOC
1
Frameworks
5
Languages
Pipeline State
completedRun ID
#396197Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
SkippedDecision
skip_scaffold_dupNovelty
36.58Framework unique
—Isolation
—Last stage change
2026-04-16 18:15:42Deduplication group #47518
Member of a group with 1 similar repo(s) — canonical #113957 view group →
Top concepts (2)
Project DescriptionTesting
Repobility · code-quality intelligence platform · https://repobility.com
AI Prompt
Create a comprehensive simulation sandbox environment for a patient companion service, using Python. The system needs to simulate the entire operational flow based on real industry data. Key features to include are demand modeling (incorporating time slots, age stratification, and holiday effects), supply simulation (covering recruiter decay, training, and willingness to take orders), and a multi-level matching engine that considers geographic distance and time conflicts. It should also support advanced analytics like LTV/CAC calculation, break-even analysis, and Monte Carlo simulations to test various uncertain parameters like repurchase rates and complaint impact. Please structure the code using modules for demand, supply, matching, and analytics.
python simulation business-simulation analytics modeling healthcare pytest
Generated by gemma4:latest
Catalog Information
基于真实行业数据的陪诊业务沙箱模拟环境，用于 GMV 预测、运营决策支持和业务参数验证。
Description
基于真实行业数据的陪诊业务沙箱模拟环境，用于 GMV 预测、运营决策支持和业务参数验证。
Novelty
3/10Tags
python simulation business-simulation analytics modeling healthcare pytest
Technologies
anthropic openai pydantic streamlit
Claude Models
claude-opus-4-6
Quality Score
D
55.1/100
Structure
48
Code Quality
65
Documentation
64
Testing
0
Practices
64
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
- 536 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)
Security & Health
4.1h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Repobility (the analyzer behind this table) · https://repobility.com
Unknown
License
10.5%
Duplication
Languages
Frameworks
pytest
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Want fix-PRs on findings? Install Repobility's GitHub App · github.com/apps/repobility-bot | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | 基于真实行业数据的陪诊业务沙箱模拟环境，用于 GMV 预测、运营决策支持和业务参数验证。 | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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