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docs: remove outdated performance metrics from README
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@ -259,15 +259,6 @@ The application logs detailed performance metrics to `metrics.txt` including:
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- **Question/Option processing**: Individual item processing performance
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- **Cold startup tracking**: Application initialization times
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**Typical Performance (M3 Pro MacBook Pro):**
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- Validation: 1.76-106.22ms (4.65ms average)
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- Parse-only: 3.80-156.92ms (84.21ms average)
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- Full upload: 222.08-281.11ms (247.50ms average)
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- Question processing: 0.14-0.19ms per question
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- Option processing: 0.14-0.16ms per option
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---
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## Development & Maintenance Tips
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- **Centralize logic:** All business logic is in `services/`, and all DB access in `database_service.py`.
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- **Environment variables:** Use `.env` for DB config; never hardcode secrets.
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@ -277,8 +268,6 @@ The application logs detailed performance metrics to `metrics.txt` including:
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- **CORS:** Update allowed origins in `main.py` if frontend URL changes.
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- **Error handling:** Use structured error responses with specific error types for better user experience.
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---
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## Extending the Backend
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- **Add new endpoints:** Define in `main.py`, implement logic in `services/`, and update models as needed.
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- **Add new collections:** Update `database.py` and `database_service.py` for new MongoDB collections.
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@ -287,7 +276,5 @@ The application logs detailed performance metrics to `metrics.txt` including:
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- **Metrics:** Extend metrics logging for new operations or performance measurements.
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- **Documentation:** Update this README and docstrings in code for any new features or changes.
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---
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## License
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MIT
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