feat: 5-tier pricing, market ticker integration, and delivery stats

Major update spanning pricing, market data, and analytics:

- Pricing: Replace single-price service fees with 5-tier pricing for
  same-day, prime, and emergency deliveries across create/edit/finalize
- Market: Add Ticker_Price and CompanyPrice models with endpoints for
  live commodity prices (HO, CL, RB) and competitor price tracking
- Stats: Add daily/weekly/monthly gallons endpoints with multi-year
  comparison and YoY totals for the stats dashboard
- Delivery: Add map and history endpoints, fix finalize null-driver crash
- Schema: Change fill_location from INTEGER to VARCHAR(250), add
  pre_load normalization for customer updates, fix admin auth check

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-02-08 17:54:30 -05:00
parent 43a14eba2c
commit 6d5f44db55
18 changed files with 995 additions and 57 deletions

28
app/classes/ticker.py Normal file
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from datetime import datetime
from app import db, ma
class Ticker_Price(db.Model):
__tablename__ = 'ticker_prices'
__table_args__ = {"schema": "public"}
id = db.Column(db.Integer, primary_key=True, autoincrement=True)
symbol = db.Column(db.String(20), nullable=False, index=True)
price_decimal = db.Column(db.Numeric(10, 4), nullable=False)
currency = db.Column(db.String(10), nullable=True)
change_decimal = db.Column(db.Numeric(10, 4), nullable=True)
percent_change_decimal = db.Column(db.Numeric(10, 4), nullable=True)
timestamp = db.Column(db.TIMESTAMP(), default=datetime.utcnow, index=True)
def to_dict(self):
return {
"symbol": self.symbol,
"price": float(self.price_decimal) if self.price_decimal is not None else None,
"currency": self.currency,
"change": float(self.change_decimal) if self.change_decimal is not None else None,
"percent_change": float(self.percent_change_decimal) if self.percent_change_decimal is not None else None,
"timestamp": self.timestamp.isoformat() if self.timestamp else None,
}
class Ticker_Price_Schema(ma.SQLAlchemyAutoSchema):
class Meta:
model = Ticker_Price