v1.4.0 — 16 servizi reali Ianni, sala unica, ricevuta PDF

- Migration: services.price_cents, services.availability_text
- Migration: bookings.receipt_number (trigger annuale IANNI-YYYY-NNNN) + receipt_token
- Constraint EXCLUDE bookings_no_overlap (sala unica, status confirmed/completed)
- availability.py: calcolo slot globale (non più per-provider)
- 16 servizi reali da Servizi.xls inseriti, 9 demo archiviati con FK preservata
- provider_services: 3 profili orari (lun-sab 9-19, lun-mar 9-13, lun-gio 9-13)
- Endpoint GET /api/receipts/{token} → PDF WeasyPrint
- Template HTML ricevuta con palette Ianni
- Dockerfile: deps sistema weasyprint (pango/cairo/fonts)
- requirements: +weasyprint>=63.0
- Frontend index.html: prezzo + fascia oraria nelle card servizio, link Scarica ricevuta nella conferma
This commit is contained in:
ECO
2026-05-14 12:31:45 +00:00
parent c33ec8450e
commit a3f1d3291a
9 changed files with 260 additions and 69 deletions

View File

@@ -1,7 +1,9 @@
"""Calcolo slot disponibili per un servizio in una data.
"""Calcolo slot disponibili — modello SALA UNICA.
Logica: regole orario provider - prenotazioni esistenti - busy Google Calendar.
Google Calendar è opzionale (fase 2).
La sala dei servizi è unica: nessun overlap a livello globale, indipendentemente
da provider o servizio. Le availability_rules sono per coppia (provider,service)
e servono a definire le fasce orarie in cui un certo servizio può essere prenotato.
Lo slot è confermato libero solo se nessun altro booking confirmed/completed lo intersecano.
"""
from datetime import datetime, date, timedelta, time
from zoneinfo import ZoneInfo
@@ -18,9 +20,8 @@ def get_available_slots(
target_date: date,
duration_min: int,
) -> list[TimeSlot]:
"""Restituisce tutti gli slot liberi per un servizio in una data."""
"""Slot liberi per service_id in target_date, considerando la sala unica."""
# 1. Trova tutti i provider che erogano questo servizio
ps_list = (
db.query(ProviderService)
.filter(ProviderService.service_id == service_id)
@@ -30,71 +31,58 @@ def get_available_slots(
return []
weekday = target_date.weekday() # 0=lunedì
all_slots = []
# 1. Genero candidati: per ogni provider attivo, secondo le regole del giorno
# Mappa: datetime → primo (provider_id, provider_name) che lo offre
candidate_provider = {}
for ps in ps_list:
if not ps.provider.active:
if not ps.provider or not ps.provider.active:
continue
# 2. Filtra le regole di disponibilità per il giorno della settimana
rules = ps.availability_rules or []
day_rules = [r for r in rules if r.get("weekday") == weekday]
for rule in [r for r in rules if r.get("weekday") == weekday]:
sh, sm = map(int, rule["start"].split(":"))
eh, em = map(int, rule["end"].split(":"))
t = datetime.combine(target_date, time(sh, sm), tzinfo=TZ)
limit = datetime.combine(target_date, time(eh, em), tzinfo=TZ)
while t + timedelta(minutes=duration_min) <= limit:
candidate_provider.setdefault(t, (ps.provider_id, ps.provider.name))
t += timedelta(minutes=duration_min)
if not day_rules:
continue
if not candidate_provider:
return []
# 3. Genera tutti gli slot possibili dalle regole
raw_slots = []
for rule in day_rules:
start_h, start_m = map(int, rule["start"].split(":"))
end_h, end_m = map(int, rule["end"].split(":"))
slot_start = datetime.combine(target_date, time(start_h, start_m), tzinfo=TZ)
slot_end_limit = datetime.combine(target_date, time(end_h, end_m), tzinfo=TZ)
while slot_start + timedelta(minutes=duration_min) <= slot_end_limit:
raw_slots.append(slot_start)
slot_start += timedelta(minutes=duration_min)
# 4. Filtra via le prenotazioni esistenti (confirmed)
day_start = datetime.combine(target_date, time(0, 0), tzinfo=TZ)
day_end = day_start + timedelta(days=1)
existing = (
db.query(Booking)
.filter(
Booking.provider_id == ps.provider_id,
Booking.start_at >= day_start,
Booking.start_at < day_end,
Booking.status == "confirmed",
)
.all()
# 2. Tutte le prenotazioni del giorno con stato che blocca la sala (SALA UNICA)
day_start = datetime.combine(target_date, time(0, 0), tzinfo=TZ)
day_end = day_start + timedelta(days=1)
busy_rows = (
db.query(Booking.start_at, Booking.end_at)
.filter(
Booking.start_at >= day_start,
Booking.start_at < day_end,
Booking.status.in_(["confirmed", "completed"]),
)
.all()
)
busy = [(s, e) for s, e in busy_rows]
busy_ranges = [(b.start_at, b.end_at) for b in existing]
# 3. Tengo i candidati non in conflitto
slots: list[TimeSlot] = []
for slot_start in sorted(candidate_provider.keys()):
slot_end = slot_start + timedelta(minutes=duration_min)
if any(slot_start < be and slot_end > bs for bs, be in busy):
continue
pid, pname = candidate_provider[slot_start]
slots.append(TimeSlot(
start=slot_start.strftime("%H:%M"),
end=slot_end.strftime("%H:%M"),
provider_id=pid,
provider_name=pname,
))
for slot_start in raw_slots:
slot_end = slot_start + timedelta(minutes=duration_min)
conflict = any(
slot_start < busy_end and slot_end > busy_start
for busy_start, busy_end in busy_ranges
)
if not conflict:
all_slots.append(
TimeSlot(
start=slot_start.strftime("%H:%M"),
end=slot_end.strftime("%H:%M"),
provider_id=ps.provider_id,
provider_name=ps.provider.name,
)
)
# 5. Ordina per orario
all_slots.sort(key=lambda s: s.start)
# 6. Filtra slot nel passato se target_date è oggi
# 4. Se oggi, scarto orari già passati
now = datetime.now(TZ)
if target_date == now.date():
all_slots = [s for s in all_slots if s.start > now.strftime("%H:%M")]
cur = now.strftime("%H:%M")
slots = [s for s in slots if s.start > cur]
return all_slots
return slots