Improve the sales import
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@@ -165,14 +165,6 @@ async def start_training_job(
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if metrics:
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metrics.increment_counter("enhanced_training_jobs_created_total")
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# Publish training.started event immediately so WebSocket clients
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# have initial state when they connect
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await publish_training_started(
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job_id=job_id,
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tenant_id=tenant_id,
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total_products=0 # Will be updated when actual training starts
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)
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# Calculate intelligent time estimate
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# We don't know exact product count yet, so use historical average or estimate
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try:
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@@ -192,6 +184,19 @@ async def start_training_job(
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error=str(est_error))
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estimated_duration_minutes = 15 # Default fallback
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# Calculate estimated completion time
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estimated_completion_time = calculate_estimated_completion_time(estimated_duration_minutes)
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# Publish training.started event immediately so WebSocket clients
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# have initial state when they connect
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await publish_training_started(
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job_id=job_id,
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tenant_id=tenant_id,
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total_products=0, # Will be updated when actual training starts
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estimated_duration_minutes=estimated_duration_minutes,
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estimated_completion_time=estimated_completion_time.isoformat()
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)
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# Add enhanced background task
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background_tasks.add_task(
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execute_training_job_background,
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@@ -362,15 +367,8 @@ async def execute_training_job_background(
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requested_end=requested_end
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)
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# Update final status using repository pattern
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await enhanced_training_service._update_job_status_repository(
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job_id=job_id,
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status="completed",
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progress=100,
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current_step="Enhanced training completed successfully",
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results=result,
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tenant_id=tenant_id
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)
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# Note: Final status is already updated by start_training_job() via complete_training_log()
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# No need for redundant update here - it was causing duplicate log entries
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# Completion event is published by the training service
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