Files
Brancheneinstufung2/lead-engine/trading_twins/manager.py

134 lines
4.9 KiB
Python

import datetime
from sqlalchemy import create_engine, func
from sqlalchemy.orm import sessionmaker
from .models import ProposalJob, ProposedSlot, Base
import uuid
# Konfiguration
DB_PATH = 'sqlite:///trading_twins/trading_twins.db'
MAX_PROPOSALS_PER_SLOT = 3 # Aggressiver Faktor 3
class TradingTwinsManager:
def __init__(self, db_path=DB_PATH):
self.engine = create_engine(db_path)
self.Session = sessionmaker(bind=self.engine)
Base.metadata.create_all(self.engine)
def create_proposal_job(self, customer_email, customer_name, customer_company):
"""Erstellt einen neuen Job, sucht Slots und speichert alles."""
session = self.Session()
try:
# 1. Freie Slots finden (Mock für jetzt)
# Später: real_slots = self.fetch_calendar_availability()
candidate_slots = self._mock_calendar_availability()
# 2. Beste Slots auswählen (mit Overbooking-Check)
selected_slots = self._select_best_slots(session, candidate_slots)
if not selected_slots:
# Fallback: Wenn alles "voll" ist (sehr unwahrscheinlich bei Faktor 3),
# nehmen wir trotzdem den am wenigsten gebuchten Slot.
selected_slots = candidate_slots[:2]
# 3. Job anlegen
job_uuid = str(uuid.uuid4())
new_job = ProposalJob(
job_uuid=job_uuid,
customer_email=customer_email,
customer_name=customer_name,
customer_company=customer_company,
status='pending'
)
session.add(new_job)
session.flush() # ID generieren
# 4. Slots speichern
for slot in selected_slots:
new_slot = ProposedSlot(
job_id=new_job.id,
start_time=slot['start'],
end_time=slot['end']
)
session.add(new_slot)
session.commit()
return new_job.job_uuid, selected_slots
except Exception as e:
session.rollback()
raise e
finally:
session.close()
def _select_best_slots(self, session, candidate_slots):
"""Wählt Slots aus, die noch nicht 'voll' sind (Faktor 3)."""
valid_slots = []
# Wir betrachten nur Vorschläge der letzten 24h als "aktiv"
yesterday = datetime.datetime.now() - datetime.timedelta(days=1)
for slot in candidate_slots:
# Wie oft wurde dieser Start-Zeitpunkt in den letzten 24h vorgeschlagen?
count = session.query(func.count(ProposedSlot.id)).filter(ProposedSlot.start_time == slot['start']).filter(ProposedSlot.job.has(ProposalJob.created_at >= yesterday)).scalar()
if count < MAX_PROPOSALS_PER_SLOT:
valid_slots.append(slot)
if len(valid_slots) >= 2:
break
return valid_slots
def _mock_calendar_availability(self):
"""Simuliert freie Termine für morgen."""
tomorrow = datetime.date.today() + datetime.timedelta(days=1)
# Ein Slot Vormittags (10:30), einer Nachmittags (14:00)
return [
{
'start': datetime.datetime.combine(tomorrow, datetime.time(10, 30)),
'end': datetime.datetime.combine(tomorrow, datetime.time(11, 15))
},
{
'start': datetime.datetime.combine(tomorrow, datetime.time(14, 0)),
'end': datetime.datetime.combine(tomorrow, datetime.time(14, 45))
}
]
def get_job_status(self, job_uuid):
session = self.Session()
job = session.query(ProposalJob).filter_by(job_uuid=job_uuid).first()
status = job.status if job else None
session.close()
return status
def get_job_details(self, job_uuid):
"""Holt alle Details zu einem Job inklusive der Slots."""
session = self.Session()
job = session.query(ProposalJob).filter_by(job_uuid=job_uuid).first()
if not job:
session.close()
return None
# Wir müssen die Daten extrahieren, bevor die Session geschlossen wird
details = {
'uuid': job.job_uuid,
'email': job.customer_email,
'name': job.customer_name,
'company': job.customer_company,
'status': job.status,
'slots': [{'start': s.start_time, 'end': s.end_time} for s in job.slots]
}
session.close()
return details
def update_job_status(self, job_uuid, new_status):
session = self.Session()
job = session.query(ProposalJob).filter_by(job_uuid=job_uuid).first()
if job:
job.status = new_status
if new_status == 'approved':
job.approved_at = datetime.datetime.now()
session.commit()
session.close()