rdmsandClaude Haiku 4.5
80b8b369c7
- Neuer schedule_for() in app/engine/loans.py: vereinheitlicht Tilgungsplan-Erstellung - Laufzeit-Validierung in LoanIn und LoanPatch: 1–1200 Monate - Aufrufstellen aktualisiert (routers/planning.py, services/breakdown.py, services/projection_service.py, services/planning_chart.py) - Keine direkten loan_schedule(Decimal(...)) Aufrufe außerhalb engine/loans.py mehr - Tests für schedule_for und Laufzeit-Grenzen (1, 1200, sowie 0/-5/1201 Ablehnung) Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
46 lines
1.9 KiB
Python
46 lines
1.9 KiB
Python
"""Aufteilung (Ausbaustufe 13): Brücke DB -> engine/breakdown.py.
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scenario=None ist „System-Plan" (reine Planung, alle Kredite, keine
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Modifikatoren) - dieselbe Datenbasis wie load_scenario_inputs(None).
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"""
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from dataclasses import dataclass
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from datetime import date
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from sqlalchemy import select
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from sqlalchemy.orm import Session
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from app.engine.breakdown import (BreakdownRow, Filters, PlainLoan, Summary,
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breakdown_rows, summarize)
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from app.engine.loans import schedule_for
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from app.models.tables import Category, Scenario
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from app.reserved import SYSTEM_PREFIX
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from app.services.double_count import Konflikt, all_conflicts
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from app.services.planning_chart import KREDITRATEN, UNKATEGORISIERT
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from app.services.projection_service import load_scenario_inputs
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PLAN_NAME = f"{SYSTEM_PREFIX}Plan"
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@dataclass(frozen=True)
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class Breakdown:
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month: date
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rows: list[BreakdownRow]
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summary: Summary
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conflicts: list[Konflikt]
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def compute_breakdown(session: Session, month: date, scenario: Scenario | None,
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filters: Filters) -> Breakdown:
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inputs = load_scenario_inputs(session, scenario)
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names = {c.id: c.name for c in session.execute(select(Category)).scalars()}
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loans = [PlainLoan(l.id, l.name, schedule_for(l)) for l in inputs.loans]
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rows = breakdown_rows(month, inputs.recurring, inputs.planned, loans,
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inputs.modifiers, filters, category_names=names,
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loan_category=KREDITRATEN, uncategorized=UNKATEGORISIERT)
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# Doppelzählungs-Hinweis nur, wenn Fixposten UND Kredit hier als Zeile stehen.
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posten = {r.recurring_id for r in rows if r.recurring_id is not None}
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kredite = {r.loan_id for r in rows if r.loan_id is not None}
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conflicts = [k for k in all_conflicts(session)
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if k.posten_id in posten and k.kredit_id in kredite]
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return Breakdown(month.replace(day=1), rows, summarize(rows), conflicts)
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