Started setting up conversion_imports. Not entirely sure how it ultimatly works. Need to grab some real data for a while first
This commit is contained in:
5
examples/Reservierungen_sebastian_20251021_115750.xml
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5
examples/Reservierungen_sebastian_20251021_115750.xml
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@@ -0,0 +1,5 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<reservations>
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<Deletedreservation ID="2473" />
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<Deletedreservation ID="2475" />
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</reservations>
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42
examples/Reservierungen_sebastian_20251022_055346.xml
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42
examples/Reservierungen_sebastian_20251022_055346.xml
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@@ -0,0 +1,42 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<reservations>
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<reservation hotelID="135" id="2498" number="240" date="2025-10-21"
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creationTime="2025-10-21T14:03:24" type="reservation" bookingChannel="WHO_KNOWS_WHO_KNOWS"
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advertisingMedium="99TALES" advertisingPartner="cpc" advertisingCampagne="IwAR123fbclid456">
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<guest id="380" lastName="Schmidt" firstName="Maria" language="de" gender="female"
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email="maria.schmidt@gmail.com" />
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<roomReservations>
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<roomReservation arrival="2025-11-15" departure="2025-11-18" status="reserved"
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roomType="EZ" roomNumber="106" adults="1" ratePlanCode="STD" connectedRoomType="0">
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<dailySales>
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<dailySale date="2025-11-15" revenueTotal="165" revenueLogis="140.2"
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revenueBoard="9" revenueFB="10" revenueSpa="1" revenueOther="4.8" />
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<dailySale date="2025-11-16" revenueTotal="165" revenueLogis="140.2"
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revenueBoard="9" revenueFB="10" revenueSpa="1" revenueOther="4.8" />
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<dailySale date="2025-11-17" revenueTotal="165" revenueLogis="140.2"
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revenueBoard="9" revenueFB="10" revenueSpa="1" revenueOther="4.8" />
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<dailySale date="2025-11-18" />
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</dailySales>
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</roomReservation>
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</roomReservations>
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</reservation>
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<reservation hotelID="135" id="2499" number="241" date="2025-10-21"
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creationTime="2025-10-21T14:04:26" type="reservation" bookingChannel="WHO_KNOWS_WHO_KNOWS"
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advertisingMedium="99TALES" advertisingPartner="website"
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advertisingCampagne="nduaitreuditaor">
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<guest id="381" lastName="Linter" firstName="Jonas" language="de" gender="male"
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email="jonas@vaius.ai" />
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<roomReservations>
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<roomReservation arrival="2025-10-28" departure="2025-10-30" status="reserved"
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roomType="DZ" roomNumber="101" adults="2" connectedRoomType="0">
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<dailySales>
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<dailySale date="2025-10-28" revenueTotal="474" revenueLogis="372.16"
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revenueBoard="67.96" revenueFB="20" revenueSpa="2" revenueOther="11.88" />
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<dailySale date="2025-10-29" revenueTotal="474" revenueLogis="372.16"
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revenueBoard="67.96" revenueFB="20" revenueSpa="2" revenueOther="11.88" />
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<dailySale date="2025-10-30" />
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</dailySales>
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</roomReservation>
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</roomReservations>
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</reservation>
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</reservations>
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@@ -39,6 +39,7 @@ from .alpinebits_server import (
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from .auth import generate_unique_id, validate_api_key
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from .config_loader import load_config
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from .const import HttpStatusCode
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from .conversion_service import ConversionService
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from .customer_service import CustomerService
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from .db import Base, get_database_url
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from .db import Customer as DBCustomer
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@@ -1222,9 +1223,16 @@ async def handle_xml_upload(
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request: Request,
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filename: str,
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credentials_tupel: tuple = Depends(validate_basic_auth),
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db_session=Depends(get_async_session),
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):
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"""Endpoint for receiving XML files for conversion processing via PUT.
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Processes conversion data from hotel PMS:
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- Parses reservation and daily sales XML data
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- Matches to existing reservations using truncated tracking IDs (fbclid/gclid)
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- Links conversions to customers and hashed_customers
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- Stores daily sales revenue data
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Requires basic authentication and saves XML files to log directory.
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Supports gzip compression via Content-Encoding header.
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@@ -1294,13 +1302,38 @@ async def handle_xml_upload(
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filename,
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)
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# Process the conversion XML and save to database
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conversion_service = ConversionService(db_session)
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processing_stats = await conversion_service.process_conversion_xml(xml_content)
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_LOGGER.info(
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"Conversion processing complete for %s: %s", filename, processing_stats
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)
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response_headers = {
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"Content-Type": "application/xml; charset=utf-8",
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"X-AlpineBits-Server-Accept-Encoding": "gzip",
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}
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# Return processing stats in response
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response_content = f"""<?xml version="1.0" encoding="UTF-8"?>
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<response>
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<status>success</status>
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<message>Conversion data processed successfully</message>
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<stats>
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<totalReservations>{processing_stats['total_reservations']}</totalReservations>
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<deletedReservations>{processing_stats['deleted_reservations']}</deletedReservations>
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<totalDailySales>{processing_stats['total_daily_sales']}</totalDailySales>
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<matchedToReservation>{processing_stats['matched_to_reservation']}</matchedToReservation>
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<matchedToCustomer>{processing_stats['matched_to_customer']}</matchedToCustomer>
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<matchedToHashedCustomer>{processing_stats['matched_to_hashed_customer']}</matchedToHashedCustomer>
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<unmatched>{processing_stats['unmatched']}</unmatched>
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<errors>{processing_stats['errors']}</errors>
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</stats>
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</response>"""
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return Response(
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content="Xml received", headers=response_headers, status_code=200
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content=response_content, headers=response_headers, status_code=200
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)
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except HTTPException:
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383
src/alpine_bits_python/conversion_service.py
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383
src/alpine_bits_python/conversion_service.py
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@@ -0,0 +1,383 @@
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"""Service for handling conversion data from hotel PMS XML files."""
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import xml.etree.ElementTree as ET
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from datetime import datetime
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from typing import Any
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from sqlalchemy import or_, select
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from sqlalchemy.ext.asyncio import AsyncSession
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from .db import Conversion, Customer, HashedCustomer, Reservation
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from .logging_config import get_logger
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_LOGGER = get_logger(__name__)
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class ConversionService:
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"""Service for processing and storing conversion/daily sales data."""
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def __init__(self, session: AsyncSession):
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self.session = session
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async def process_conversion_xml(self, xml_content: str) -> dict[str, Any]:
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"""Parse conversion XML and save daily sales data to database.
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Args:
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xml_content: XML string containing reservation and daily sales data
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Returns:
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Dictionary with processing statistics
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"""
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try:
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root = ET.fromstring(xml_content)
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except ET.ParseError as e:
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_LOGGER.error("Failed to parse conversion XML: %s", e)
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raise ValueError(f"Invalid XML content: {e}") from e
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stats = {
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"total_reservations": 0,
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"deleted_reservations": 0,
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"total_daily_sales": 0,
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"matched_to_reservation": 0,
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"matched_to_customer": 0,
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"matched_to_hashed_customer": 0,
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"unmatched": 0,
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"errors": 0,
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}
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# Process deleted reservations
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for deleted_res in root.findall("Deletedreservation"):
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stats["deleted_reservations"] += 1
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pms_reservation_id = deleted_res.get("ID")
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await self._handle_deleted_reservation(pms_reservation_id)
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# Process active reservations
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for reservation in root.findall("reservation"):
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stats["total_reservations"] += 1
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try:
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reservation_stats = await self._process_reservation(reservation)
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stats["total_daily_sales"] += reservation_stats["daily_sales_count"]
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stats["matched_to_reservation"] += reservation_stats.get(
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"matched_to_reservation", 0
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)
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stats["matched_to_customer"] += reservation_stats.get(
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"matched_to_customer", 0
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)
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stats["matched_to_hashed_customer"] += reservation_stats.get(
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"matched_to_hashed_customer", 0
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)
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stats["unmatched"] += reservation_stats.get("unmatched", 0)
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except Exception as e:
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_LOGGER.exception(
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"Error processing reservation %s: %s",
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reservation.get("id"),
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e,
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)
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stats["errors"] += 1
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await self.session.commit()
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return stats
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async def _handle_deleted_reservation(self, pms_reservation_id: str):
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"""Handle deleted reservation by marking conversions as deleted or removing them."""
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# For now, we'll just log it. You could add a 'deleted' flag to the Conversion table
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# or actually delete the conversion records
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_LOGGER.info(
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"Processing deleted reservation: PMS ID %s", pms_reservation_id
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)
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# Option 1: Delete conversion records
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result = await self.session.execute(
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select(Conversion).where(
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Conversion.pms_reservation_id == pms_reservation_id
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)
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)
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conversions = result.scalars().all()
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for conversion in conversions:
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await self.session.delete(conversion)
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if conversions:
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_LOGGER.info(
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"Deleted %d conversion records for PMS reservation %s",
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len(conversions),
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pms_reservation_id,
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)
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async def _process_reservation(
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self, reservation_elem: ET.Element
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) -> dict[str, int]:
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"""Process a single reservation element and its daily sales.
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Returns statistics about what was matched.
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"""
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stats = {
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"daily_sales_count": 0,
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"matched_to_reservation": 0,
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"matched_to_customer": 0,
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"matched_to_hashed_customer": 0,
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"unmatched": 0,
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}
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# Extract reservation metadata
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hotel_id = reservation_elem.get("hotelID")
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pms_reservation_id = reservation_elem.get("id")
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reservation_number = reservation_elem.get("number")
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reservation_date_str = reservation_elem.get("date")
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creation_time_str = reservation_elem.get("creationTime")
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reservation_type = reservation_elem.get("type")
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booking_channel = reservation_elem.get("bookingChannel")
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# Advertising/tracking data
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advertising_medium = reservation_elem.get("advertisingMedium")
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advertising_partner = reservation_elem.get("advertisingPartner")
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advertising_campagne = reservation_elem.get("advertisingCampagne")
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# Parse dates
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reservation_date = None
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if reservation_date_str:
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try:
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reservation_date = datetime.strptime(
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reservation_date_str, "%Y-%m-%d"
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).date()
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except ValueError:
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_LOGGER.warning(
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"Invalid reservation date format: %s", reservation_date_str
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)
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creation_time = None
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if creation_time_str:
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try:
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creation_time = datetime.fromisoformat(
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creation_time_str.replace("Z", "+00:00")
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)
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except ValueError:
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_LOGGER.warning(
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"Invalid creation time format: %s", creation_time_str
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)
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# Find matching reservation, customer, and hashed_customer using advertising data
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matched_reservation = None
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matched_customer = None
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matched_hashed_customer = None
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if advertising_campagne:
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match_result = await self._find_matching_entities(
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advertising_campagne, hotel_id, reservation_date
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)
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matched_reservation = match_result["reservation"]
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matched_customer = match_result["customer"]
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matched_hashed_customer = match_result["hashed_customer"]
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# Process all room reservations
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room_reservations = reservation_elem.find("roomReservations")
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if room_reservations is None:
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_LOGGER.warning(
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"No roomReservations found for reservation %s", pms_reservation_id
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)
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return stats
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for room_reservation in room_reservations.findall("roomReservation"):
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# Extract room reservation details
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arrival_str = room_reservation.get("arrival")
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departure_str = room_reservation.get("departure")
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room_status = room_reservation.get("status")
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room_type = room_reservation.get("roomType")
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room_number = room_reservation.get("roomNumber")
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adults_str = room_reservation.get("adults")
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rate_plan_code = room_reservation.get("ratePlanCode")
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arrival_date = None
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if arrival_str:
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try:
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arrival_date = datetime.strptime(arrival_str, "%Y-%m-%d").date()
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except ValueError:
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_LOGGER.warning("Invalid arrival date format: %s", arrival_str)
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departure_date = None
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if departure_str:
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try:
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departure_date = datetime.strptime(
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departure_str, "%Y-%m-%d"
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).date()
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except ValueError:
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_LOGGER.warning("Invalid departure date format: %s", departure_str)
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num_adults = None
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if adults_str:
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try:
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num_adults = int(adults_str)
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except ValueError:
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_LOGGER.warning("Invalid adults value: %s", adults_str)
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# Process daily sales
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daily_sales = room_reservation.find("dailySales")
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if daily_sales is None:
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continue
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for daily_sale in daily_sales.findall("dailySale"):
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stats["daily_sales_count"] += 1
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# Extract daily sale data
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sale_date_str = daily_sale.get("date")
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sale_date = None
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if sale_date_str:
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try:
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sale_date = datetime.strptime(
|
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sale_date_str, "%Y-%m-%d"
|
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).date()
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except ValueError:
|
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_LOGGER.warning("Invalid sale date format: %s", sale_date_str)
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# Create conversion record
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conversion = Conversion(
|
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# Links to existing entities (nullable)
|
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reservation_id=matched_reservation.id
|
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if matched_reservation
|
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else None,
|
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customer_id=matched_customer.id if matched_customer else None,
|
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hashed_customer_id=matched_hashed_customer.id
|
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if matched_hashed_customer
|
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else None,
|
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# Reservation metadata
|
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hotel_id=hotel_id,
|
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pms_reservation_id=pms_reservation_id,
|
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reservation_number=reservation_number,
|
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reservation_date=reservation_date,
|
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creation_time=creation_time,
|
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reservation_type=reservation_type,
|
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booking_channel=booking_channel,
|
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# Advertising data
|
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advertising_medium=advertising_medium,
|
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advertising_partner=advertising_partner,
|
||||
advertising_campagne=advertising_campagne,
|
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# Room reservation details
|
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arrival_date=arrival_date,
|
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departure_date=departure_date,
|
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room_status=room_status,
|
||||
room_type=room_type,
|
||||
room_number=room_number,
|
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num_adults=num_adults,
|
||||
rate_plan_code=rate_plan_code,
|
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# Daily sale data
|
||||
sale_date=sale_date,
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revenue_total=daily_sale.get("revenueTotal"),
|
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revenue_logis=daily_sale.get("revenueLogis"),
|
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revenue_board=daily_sale.get("revenueBoard"),
|
||||
revenue_fb=daily_sale.get("revenueFB"),
|
||||
revenue_spa=daily_sale.get("revenueSpa"),
|
||||
revenue_other=daily_sale.get("revenueOther"),
|
||||
# Metadata
|
||||
created_at=datetime.now(),
|
||||
)
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||||
|
||||
self.session.add(conversion)
|
||||
|
||||
# Update stats
|
||||
if matched_reservation:
|
||||
stats["matched_to_reservation"] += 1
|
||||
if matched_customer:
|
||||
stats["matched_to_customer"] += 1
|
||||
if matched_hashed_customer:
|
||||
stats["matched_to_hashed_customer"] += 1
|
||||
if not any(
|
||||
[matched_reservation, matched_customer, matched_hashed_customer]
|
||||
):
|
||||
stats["unmatched"] += 1
|
||||
|
||||
return stats
|
||||
|
||||
async def _find_matching_entities(
|
||||
self,
|
||||
advertising_campagne: str,
|
||||
hotel_id: str | None,
|
||||
reservation_date: Any,
|
||||
) -> dict[str, Any]:
|
||||
"""Find matching Reservation, Customer, and HashedCustomer using advertising data.
|
||||
|
||||
The advertisingCampagne field contains a truncated (64 char) version of
|
||||
fbclid/gclid, so we use prefix matching.
|
||||
|
||||
Args:
|
||||
advertising_campagne: Truncated tracking ID from conversion XML
|
||||
hotel_id: Hotel ID for additional filtering
|
||||
reservation_date: Reservation date for additional filtering
|
||||
|
||||
Returns:
|
||||
Dictionary with 'reservation', 'customer', and 'hashed_customer' keys
|
||||
|
||||
"""
|
||||
result = {
|
||||
"reservation": None,
|
||||
"customer": None,
|
||||
"hashed_customer": None,
|
||||
}
|
||||
|
||||
if not advertising_campagne:
|
||||
return result
|
||||
|
||||
# Find reservations where fbclid or gclid starts with the truncated value
|
||||
# Use LIKE for prefix matching since the XML contains truncated values
|
||||
query = select(Reservation).where(
|
||||
or_(
|
||||
Reservation.fbclid.like(f"{advertising_campagne}%"),
|
||||
Reservation.gclid.like(f"{advertising_campagne}%"),
|
||||
Reservation.utm_campaign.like(f"{advertising_campagne}%"),
|
||||
)
|
||||
)
|
||||
|
||||
# Add hotel filter if available
|
||||
if hotel_id:
|
||||
query = query.where(Reservation.hotel_code == hotel_id)
|
||||
|
||||
# Execute query
|
||||
db_result = await self.session.execute(query)
|
||||
reservations = db_result.scalars().all()
|
||||
|
||||
if not reservations:
|
||||
_LOGGER.debug(
|
||||
"No matching reservation found for advertisingCampagne: %s",
|
||||
advertising_campagne,
|
||||
)
|
||||
return result
|
||||
|
||||
if len(reservations) > 1:
|
||||
_LOGGER.warning(
|
||||
"Multiple reservations match advertisingCampagne %s (hotel=%s): found %d matches. Using first match.",
|
||||
advertising_campagne,
|
||||
hotel_id,
|
||||
len(reservations),
|
||||
)
|
||||
|
||||
# Use the first matching reservation
|
||||
matched_reservation = reservations[0]
|
||||
result["reservation"] = matched_reservation
|
||||
|
||||
# Get associated customer and hashed_customer
|
||||
if matched_reservation.customer_id:
|
||||
customer_query = select(Customer).where(
|
||||
Customer.id == matched_reservation.customer_id
|
||||
)
|
||||
customer_result = await self.session.execute(customer_query)
|
||||
result["customer"] = customer_result.scalar_one_or_none()
|
||||
|
||||
# Get hashed customer
|
||||
if result["customer"]:
|
||||
hashed_query = select(HashedCustomer).where(
|
||||
HashedCustomer.customer_id == result["customer"].id
|
||||
)
|
||||
hashed_result = await self.session.execute(hashed_query)
|
||||
result["hashed_customer"] = hashed_result.scalar_one_or_none()
|
||||
|
||||
_LOGGER.info(
|
||||
"Matched conversion to reservation_id=%s, customer_id=%s, hashed_customer_id=%s (advertisingCampagne=%s)",
|
||||
result["reservation"].id if result["reservation"] else None,
|
||||
result["customer"].id if result["customer"] else None,
|
||||
result["hashed_customer"].id if result["hashed_customer"] else None,
|
||||
advertising_campagne,
|
||||
)
|
||||
|
||||
return result
|
||||
@@ -143,3 +143,59 @@ class AckedRequest(Base):
|
||||
String, index=True
|
||||
) # Should match Reservation.form_id or another unique field
|
||||
timestamp = Column(DateTime(timezone=True))
|
||||
|
||||
|
||||
class Conversion(Base):
|
||||
"""Conversion/daily sales data from hotel PMS.
|
||||
|
||||
Tracks actual sales revenue for reservations. Each row represents one day
|
||||
of a reservation stay. Linked to reservations via advertising tracking data
|
||||
(fbclid, gclid, etc) stored in advertisingCampagne field.
|
||||
"""
|
||||
__tablename__ = "conversions"
|
||||
id = Column(Integer, primary_key=True)
|
||||
|
||||
# Link to reservation (nullable since matching may not always work)
|
||||
reservation_id = Column(Integer, ForeignKey("reservations.id"), nullable=True, index=True)
|
||||
customer_id = Column(Integer, ForeignKey("customers.id"), nullable=True, index=True)
|
||||
hashed_customer_id = Column(Integer, ForeignKey("hashed_customers.id"), nullable=True, index=True)
|
||||
|
||||
# Reservation metadata from XML
|
||||
hotel_id = Column(String, index=True) # hotelID attribute
|
||||
pms_reservation_id = Column(String, index=True) # id attribute from reservation
|
||||
reservation_number = Column(String) # number attribute
|
||||
reservation_date = Column(Date) # date attribute (when reservation was made)
|
||||
creation_time = Column(DateTime(timezone=True)) # creationTime attribute
|
||||
reservation_type = Column(String) # type attribute (e.g., "reservation")
|
||||
booking_channel = Column(String) # bookingChannel attribute
|
||||
|
||||
# Advertising/tracking data - used for matching to existing reservations
|
||||
advertising_medium = Column(String, index=True) # advertisingMedium (e.g., "99TALES")
|
||||
advertising_partner = Column(String, index=True) # advertisingPartner (e.g., "cpc", "website")
|
||||
advertising_campagne = Column(String, index=True) # advertisingCampagne (contains fbclid/gclid)
|
||||
|
||||
# Room reservation details
|
||||
arrival_date = Column(Date)
|
||||
departure_date = Column(Date)
|
||||
room_status = Column(String) # status attribute (e.g., "reserved", "checked-in")
|
||||
room_type = Column(String) # roomType attribute
|
||||
room_number = Column(String) # roomNumber attribute
|
||||
num_adults = Column(Integer) # adults attribute
|
||||
rate_plan_code = Column(String) # ratePlanCode attribute
|
||||
|
||||
# Daily sales data (one row per day)
|
||||
sale_date = Column(Date, index=True) # date attribute from dailySale
|
||||
revenue_total = Column(String) # revenueTotal - keeping as string to preserve decimals
|
||||
revenue_logis = Column(String) # revenueLogis (accommodation)
|
||||
revenue_board = Column(String) # revenueBoard (meal plan)
|
||||
revenue_fb = Column(String) # revenueFB (food & beverage)
|
||||
revenue_spa = Column(String) # revenueSpa
|
||||
revenue_other = Column(String) # revenueOther
|
||||
|
||||
# Metadata
|
||||
created_at = Column(DateTime(timezone=True)) # When this record was imported
|
||||
|
||||
# Relationships
|
||||
reservation = relationship("Reservation", backref="conversions")
|
||||
customer = relationship("Customer", backref="conversions")
|
||||
hashed_customer = relationship("HashedCustomer", backref="conversions")
|
||||
|
||||
Reference in New Issue
Block a user