| Dimension | Shared | Only in A | Only in B | Overlap |
|---|---|---|---|---|
| Sections | 0 | 1 | 1 | 0% |
| Commands | 0 | 3 | 0 | 0% |
| Section tags | 0 | 3 | 1 | 0% |
What each file covers
Sections
0 shared · 1 only in A · 1 only in B- − AI Service Rules
- + ML Inference Memory
Commands
0 shared · 3 only in A · 0 only in B- − python -m mypy app
- − python -m ruff check .
- − python -m pytest
Section tags
0 shared · 3 only in A · 1 only in B- − test
- − lint-format
- − do-not
- + performance
Line diff
Aledon8/OpenLeukemia · .cursor/rules/ai-service.mdc
@@ −1 @@
1---
2description: Python FastAPI AI-service rules
3globs:
4 - "ai-service/**/*.py"
5alwaysApply: false
6---
7
8# AI Service Rules
9
10- Keep FastAPI route handlers thin; put reusable behavior in `app/domains`.
11- Use explicit Pydantic request and response models.
12- Preserve strict typing and keep `python -m mypy app` clean.
13- Use `response_model` for route outputs.
14- Treat extraction and model outputs as explainable signals or candidate data, not clinical decisions.
15- Run `python -m ruff check .` and relevant `python -m pytest` tests for Python changes.
16
Aledon8/OpenLeukemia · ml/inference/CLAUDE.md
@@ +1 @@
1# ML Inference Memory
2
3Apply this inside `ml/inference/`.
4
5- Keep inference interfaces typed, deterministic, and easy to validate.
6- Return explainable scores or signals with limitations, not clinical conclusions.
7- Preserve compatibility with `ai-service/` consumers when inference code is promoted.
8- Validate feature order, units, and missing-value behavior explicitly.
9
@@ −1 +1 @@
1−---
2−description: Python FastAPI AI-service rules
3−globs:
4− - "ai-service/**/*.py"
5−alwaysApply: false
6−---
1+# ML Inference Memory
72
8−# AI Service Rules
3+Apply this inside `ml/inference/`.
94
10−- Keep FastAPI route handlers thin; put reusable behavior in `app/domains`.
11−- Use explicit Pydantic request and response models.
12−- Preserve strict typing and keep `python -m mypy app` clean.
13−- Use `response_model` for route outputs.
14−- Treat extraction and model outputs as explainable signals or candidate data, not clinical decisions.
15−- Run `python -m ruff check .` and relevant `python -m pytest` tests for Python changes.
5+- Keep inference interfaces typed, deterministic, and easy to validate.
6+- Return explainable scores or signals with limitations, not clinical conclusions.
7+- Preserve compatibility with `ai-service/` consumers when inference code is promoted.
8+- Validate feature order, units, and missing-value behavior explicitly.
169
