majiayu000 Mechanism Flowchart
Generates Mermaid flowchart code and visual representations of medical mechanisms, pathophysiology, and drug action pathways.
Features
- Automatic flowchart generation from text descriptions
- Multiple diagram types (flowchart, sequence, state)
- Customizable styling for publication
- Support for complex branching logic
- Export to multiple formats
Use Cases
- Creating educational diagrams for presentations
- Visualizing drug mechanism of action
- Illustrating disease pathways
- Thesis and publication figure preparation
Input Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
mechanism_description |
str | Yes | Text description of the mechanism |
diagram_type |
str | No | Type: "flowchart", "sequence", "state" (default: "flowchart") |
direction |
str | No | Flow direction: "TB", "LR", "RL", "BT" |
style |
str | No | Visual style: "default", "medical", "minimal" |
Output Format
{
"mermaid_code": "string",
"diagram_type": "string",
"nodes": ["string"],
"edges": ["string"],
"rendered_svg": "string (optional)"
}
Example Usage
from mechanism_flowchart import MechanismDiagram
diagram = MechanismDiagram()
result = diagram.generate(
"Type 2 Diabetes: Insulin resistance leads to hyperglycemia, "
"causing beta cell dysfunction and further glucose elevation"
)
print(result['mermaid_code'])
Sample Output
flowchart TB
A[Insulin Resistance] --> B[Hyperglycemia]
B --> C[Beta Cell Dysfunction]
C --> D[Worsening Glucose Control]
B --> D
Limitations
- Requires Mermaid renderer for visualization
- Complex mechanisms may need manual refinement
- Limited to Mermaid-supported diagram types
Risk Assessment
| Risk Indicator | Assessment | Level |
|---|---|---|
| Code Execution | Python/R scripts executed locally | Medium |
| Network Access | No external API calls | Low |
| File System Access | Read input files, write output files | Medium |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Output files saved to workspace | Low |
Security Checklist
- No hardcoded credentials or API keys
- No unauthorized file system access (../)
- Output does not expose sensitive information
- Prompt injection protections in place
- Input file paths validated (no ../ traversal)
- Output directory restricted to workspace
- Script execution in sandboxed environment
- Error messages sanitized (no stack traces exposed)
- Dependencies audited
Prerequisites
# Python dependencies
pip install -r requirements.txt
Evaluation Criteria
Success Metrics
- Successfully executes main functionality
- Output meets quality standards
- Handles edge cases gracefully
- Performance is acceptable
Test Cases
- Basic Functionality: Standard input → Expected output
- Edge Case: Invalid input → Graceful error handling
- Performance: Large dataset → Acceptable processing time
Lifecycle Status
- Current Stage: Draft
- Next Review Date: 2026-03-06
- Known Issues: None
- Planned Improvements:
- Performance optimization
- Additional feature support