Fix new services implementation 3
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@@ -18,7 +18,7 @@ class Forecast(Base):
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id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
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tenant_id = Column(UUID(as_uuid=True), nullable=False, index=True)
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product_name = Column(String(255), nullable=False, index=True)
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inventory_product_id = Column(UUID(as_uuid=True), nullable=False, index=True) # Reference to inventory service
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location = Column(String(255), nullable=False, index=True)
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# Forecast period
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@@ -53,7 +53,7 @@ class Forecast(Base):
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features_used = Column(JSON)
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def __repr__(self):
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return f"<Forecast(id={self.id}, product={self.product_name}, date={self.forecast_date})>"
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return f"<Forecast(id={self.id}, inventory_product_id={self.inventory_product_id}, date={self.forecast_date})>"
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class PredictionBatch(Base):
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"""Batch prediction requests"""
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@@ -19,7 +19,7 @@ class ModelPerformanceMetric(Base):
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id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
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model_id = Column(UUID(as_uuid=True), nullable=False, index=True)
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tenant_id = Column(UUID(as_uuid=True), nullable=False, index=True)
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product_name = Column(String(255), nullable=False)
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inventory_product_id = Column(UUID(as_uuid=True), nullable=False) # Reference to inventory service
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# Performance metrics
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mae = Column(Float) # Mean Absolute Error
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@@ -48,7 +48,7 @@ class PredictionCache(Base):
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# Cached data
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tenant_id = Column(UUID(as_uuid=True), nullable=False, index=True)
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product_name = Column(String(255), nullable=False)
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inventory_product_id = Column(UUID(as_uuid=True), nullable=False) # Reference to inventory service
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location = Column(String(255), nullable=False)
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forecast_date = Column(DateTime(timezone=True), nullable=False)
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@@ -64,4 +64,4 @@ class PredictionCache(Base):
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hit_count = Column(Integer, default=0)
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def __repr__(self):
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return f"<PredictionCache(key={self.cache_key}, product={self.product_name})>"
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return f"<PredictionCache(key={self.cache_key}, inventory_product_id={self.inventory_product_id})>"
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