Edwin Eames
c134c05947
Replace simple exponential smoothing with a rolling-average K-factor system backed by a new auto_kfactor_history table. Budget fills are detected and excluded from calculations, outliers beyond 2-sigma are flagged, and confidence scores track data quality per customer. Adds backfill endpoint, auto-create for missing estimation records, and manual house_factor PUT endpoints for both auto and regular customers. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
117 lines
3.4 KiB
Python
117 lines
3.4 KiB
Python
from sqlalchemy import (Column, Integer,
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DECIMAL, TEXT, Boolean,
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VARCHAR, DATE, INTEGER, Index)
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from datetime import datetime
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from database import Base
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class Auto_Update(Base):
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__tablename__ = 'auto_update'
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id = Column(Integer,
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primary_key=True,
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autoincrement=True,
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unique=False)
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last_updated = Column(DATE())
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class Auto_Temp(Base):
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__tablename__ = 'auto_temp'
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id = Column(Integer,
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primary_key=True,
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autoincrement=True,
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unique=False)
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todays_date = Column(DATE)
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temp = Column(DECIMAL(5, 2))
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temp_max = Column(DECIMAL(5, 2))
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temp_min = Column(DECIMAL(5, 2))
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temp_avg = Column(DECIMAL(5, 2))
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degree_day = Column(INTEGER())
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class Auto_Delivery(Base):
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__tablename__ = 'auto_delivery'
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id = Column(Integer,
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primary_key=True,
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autoincrement=True,
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unique=False)
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customer_id = Column(INTEGER())
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account_number = Column(VARCHAR(25))
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customer_town = Column(VARCHAR(140))
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customer_state = Column(INTEGER)
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customer_address = Column(VARCHAR(1000))
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customer_zip = Column(VARCHAR(25))
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customer_full_name = Column(VARCHAR(250))
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last_fill = Column(DATE())
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days_since_last_fill = Column(INTEGER())
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last_updated = Column(DATE())
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estimated_gallons_left = Column(DECIMAL(6, 2))
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estimated_gallons_left_prev_day = Column(DECIMAL(6, 2))
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tank_height = Column(VARCHAR(25))
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tank_size = Column(VARCHAR(25))
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house_factor = Column(DECIMAL(7, 4))
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auto_status = Column(INTEGER())
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open_ticket_id = Column(Integer, nullable=True)
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hot_water_summer = Column(INTEGER())
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confidence_score = Column(INTEGER(), default=20)
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k_factor_source = Column(VARCHAR(20), default='default')
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class Tickets_Auto_Delivery(Base):
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__tablename__ = 'auto_tickets'
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id = Column(Integer,
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primary_key=True,
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autoincrement=True,
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unique=False)
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customer_id = Column(INTEGER())
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account_number = Column(VARCHAR(25))
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customer_town = Column(VARCHAR(140))
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customer_state = Column(Integer)
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customer_address = Column(VARCHAR(1000))
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customer_zip = Column(VARCHAR(25))
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customer_full_name = Column(VARCHAR(250))
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oil_prices_id = Column(INTEGER())
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fill_date = Column(DATE())
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gallons_delivered = Column(DECIMAL(6, 2))
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price_per_gallon = Column(DECIMAL(6, 2))
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total_amount_customer = Column(DECIMAL(6, 2))
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payment_type = Column(Integer, nullable=True)
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payment_card_id = Column(Integer, nullable=True)
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payment_status = Column(Integer, nullable=True)
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is_budget_fill = Column(Boolean, default=False)
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class KFactorHistory(Base):
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__tablename__ = 'auto_kfactor_history'
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id = Column(Integer, primary_key=True, autoincrement=True)
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customer_id = Column(INTEGER(), nullable=False, index=True)
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ticket_id = Column(Integer, nullable=True)
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fill_date = Column(DATE())
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gallons_delivered = Column(DECIMAL(6, 2))
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total_hdd = Column(DECIMAL(8, 2))
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days_in_period = Column(Integer)
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k_factor = Column(DECIMAL(7, 4))
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is_budget_fill = Column(Boolean, default=False)
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is_outlier = Column(Boolean, default=False)
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created_at = Column(DATE())
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__table_args__ = (
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Index('ix_auto_kfactor_history_customer_fill', 'customer_id', fill_date.desc()),
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)
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