Start fixing forecast service 21
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@@ -260,6 +260,7 @@ class PredictionService:
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df['is_friday'] = int(day_of_week == 4)
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df['is_friday'] = int(day_of_week == 4)
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df['is_saturday'] = int(day_of_week == 5)
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df['is_saturday'] = int(day_of_week == 5)
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df['is_sunday'] = int(day_of_week == 6)
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df['is_sunday'] = int(day_of_week == 6)
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df['is_working_day'] = int(day_of_week < 5) # Working days (Mon-Fri)
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# Season-based features (match training service)
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# Season-based features (match training service)
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df['is_spring'] = int(df['season'].iloc[0] == 2)
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df['is_spring'] = int(df['season'].iloc[0] == 2)
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@@ -394,6 +395,13 @@ class PredictionService:
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df['congestion_temp_interaction'] = congestion * temperature
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df['congestion_temp_interaction'] = congestion * temperature
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df['congestion_weekend_interaction'] = congestion * is_weekend
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df['congestion_weekend_interaction'] = congestion * is_weekend
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# Add after the existing day-of-week features:
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df['is_peak_bakery_day'] = int(day_of_week in [4, 5, 6]) # Friday, Saturday, Sunday
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# Add after the month features:
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df['is_high_demand_month'] = int(forecast_date.month in [6, 7, 8, 12]) # Summer and December
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df['is_warm_season'] = int(forecast_date.month in [4, 5, 6, 7, 8, 9]) # Spring/summer months
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logger.debug("Complete Prophet features prepared",
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logger.debug("Complete Prophet features prepared",
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feature_count=len(df.columns),
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feature_count=len(df.columns),
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date=features['date'],
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date=features['date'],
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