Antoine Van Elstraete
c7a0a77d1f
Co-authored-by: OpenAI/GPT-5.6-Terra <vibecoder@antoineve.me> Co-authored-by: OpenAI/GPT-5.6-Luna <vibecoder@antoineve.me> Co-authored-by: MiniMax/MiniMax-M3 <vibecoder@antoineve.me> Co-authored-by: DeepSeek/DeepSeek-v4-Flash <vibecoder@antoineve.me>
66 lines
2.1 KiB
Python
66 lines
2.1 KiB
Python
from datetime import date, timedelta
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import sqlalchemy as sa
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from flask import Blueprint, render_template
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from app import db
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from app.business.leave_calc import compute_leave_used, get_or_create_balance
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from app.business.time_calc import minutes_to_str, work_minutes_reference
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from app.business.travel_calc import compute_co2_grams, compute_km_for_entry
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from app.config_loader import get_journeys, get_vehicles
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from app.models import WorkEntry
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bp = Blueprint("dashboard", __name__)
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@bp.route("/")
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def index():
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today = date.today()
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year = today.year
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monday = today - timedelta(days=today.weekday())
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sunday = monday + timedelta(days=6)
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week_entries = db.session.scalars(
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sa.select(WorkEntry).where(WorkEntry.date.between(monday, sunday))
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).all()
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week_actual = sum(e.total_minutes() for e in week_entries)
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week_ref = sum(work_minutes_reference(e.day_type) for e in week_entries)
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week_balance = week_actual - week_ref
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month_start = today.replace(day=1)
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month_entries = db.session.scalars(
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sa.select(WorkEntry).where(WorkEntry.date.between(month_start, today))
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).all()
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vehicles = get_vehicles()
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journeys = get_journeys()
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month_km = {}
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month_co2 = 0.0
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for entry in month_entries:
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km = compute_km_for_entry(entry.journey_profile_id, journeys, entry.motor_vehicle_id)
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for v, d in km.items():
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month_km[v] = month_km.get(v, 0) + d
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month_co2 += compute_co2_grams(km, vehicles)
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balance = get_or_create_balance(year)
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used = compute_leave_used(year)
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today_entry = db.session.scalar(sa.select(WorkEntry).where(WorkEntry.date == today))
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return render_template(
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"dashboard.html",
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today=today,
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today_entry=today_entry,
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journeys=journeys,
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vehicles=vehicles,
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week_actual_str=minutes_to_str(week_actual),
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week_balance=week_balance,
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week_balance_str=minutes_to_str(abs(week_balance)),
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month_km=month_km,
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month_co2_kg=round(month_co2 / 1000, 2),
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balance=balance,
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used=used,
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)
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