31 lines
2.1 KiB
Markdown
31 lines
2.1 KiB
Markdown
## MODIFIED Requirements
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### Requirement: Prediction controls panel
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The system SHALL display a prediction controls panel in the sidebar with: master on/off toggle, model selector dropdown (listing available trained models), model info (name, version, type, training date), action buttons ("Run on Visible", "Predict All"), auto-predict toggle, confidence threshold slider, label checkboxes with per-class precision/recall metrics, prediction count, agreement count, and a "Show only disagreements" filter.
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#### Scenario: Display model info
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- **WHEN** the prediction panel loads and the inference API is available
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- **THEN** the panel fetches /api/model/info and displays model name, version, type, and training date
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#### Scenario: Inference API unavailable
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- **WHEN** the prediction panel loads and /api/model/info returns an error
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- **THEN** the panel shows "Model server offline — predictions unavailable" and all controls are disabled
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#### Scenario: Per-class metrics display
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- **WHEN** model info includes per-class metrics
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- **THEN** each label checkbox shows precision and recall values (e.g., "bull_flag (P:0.89 R:0.76)")
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#### Scenario: Model selector integrated
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- **WHEN** the prediction panel renders with trained models available
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- **THEN** a model selector dropdown appears above the action buttons, allowing the user to switch the active model
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### Requirement: Prediction cache invalidation on model change
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The system SHALL cache predictions in memory keyed by `${pair}_${timeframe}_${startTime}_${endTime}_${modelVersion}`. When the user scrolls to a range with cached predictions, the system SHALL use the cache instead of re-fetching. Cache SHALL be invalidated when the model version changes OR when the user switches models via the model selector.
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#### Scenario: Cache hit
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- **WHEN** user scrolls back to a previously predicted range with the same model version
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- **THEN** the system renders cached predictions without making an API call
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#### Scenario: Cache invalidation on model switch
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- **WHEN** the user switches to a different model via the model selector
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- **THEN** all cached predictions are cleared and the chart removes displayed predictions
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