726 lines
31 KiB
Python
726 lines
31 KiB
Python
# Copyright (c) 2025 Patrick Motsch
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# All rights reserved.
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"""Orchestrates importing accounting data from external systems into TrusteeData* tables.
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Flow per phase:
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1. async fetch from external system (HTTP, awaits cleanly on the event loop)
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2. await asyncio.to_thread(...) for the DB write phase, so the heavy
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synchronous psycopg2 calls do NOT block the FastAPI event loop
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3. inside the worker thread we use bulk delete / bulk insert (single
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transaction per phase) instead of N+1 single-row operations
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Why this matters: a typical accounting sync is ~10k-100k rows. The old
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implementation called ``recordCreate`` row-by-row on the event loop, which
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froze every other request (chat, health-check, etc.) for minutes. See
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``local/notes/changelog.txt`` for the original incident analysis.
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"""
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import asyncio
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import json as _json
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import logging
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import os
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import time
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from collections import defaultdict
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from pathlib import Path
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from typing import Callable, Dict, Any, List, Optional, Type
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from .accountingConnectorBase import BaseAccountingConnector
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from .accountingRegistry import getAccountingRegistry
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logger = logging.getLogger(__name__)
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_HEARTBEAT_EVERY = 500
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def _isIncomeStatementAccount(accountNumber: str) -> bool:
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"""Swiss KMU-Kontenrahmen heuristic: 1xxx + 2xxx -> balance sheet
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(cumulative carry-over across years); 3xxx..9xxx -> income statement
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(reset to 0 at fiscal-year start). Used by the local fallback only;
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when a connector returns balances, those values are used verbatim.
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"""
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a = (accountNumber or "").strip()
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if not a or not a[0].isdigit():
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return False
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return a[0] not in ("1", "2")
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def _resolveBalanceYears(
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dateFrom: Optional[str],
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dateTo: Optional[str],
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oldestBookingDate: Optional[str],
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newestBookingDate: Optional[str],
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) -> List[int]:
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"""Derive the list of years for which the connector should compute balances.
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Prefers the ``dateFrom``/``dateTo`` import window the user requested. Falls
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back to the actual oldest/newest booking date observed in the imported
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journal (so e.g. a `dateTo=None` import still produces balances for every
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year that has data). If nothing is known, returns the current year as a
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sensible default.
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"""
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def _yearOf(s: Optional[str]) -> Optional[int]:
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if not s:
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return None
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try:
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return int(str(s)[:4])
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except (TypeError, ValueError):
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return None
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fromYear = _yearOf(dateFrom) or _yearOf(oldestBookingDate)
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toYear = _yearOf(dateTo) or _yearOf(newestBookingDate)
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if fromYear is None and toYear is None:
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return [time.gmtime().tm_year]
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if fromYear is None:
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fromYear = toYear
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if toYear is None:
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toYear = fromYear
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if toYear < fromYear:
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fromYear, toYear = toYear, fromYear
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return list(range(fromYear, toYear + 1))
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def _balanceModelToRow(b: Any, scope: Dict[str, Any]) -> Dict[str, Any]:
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"""Map an ``AccountingPeriodBalance`` (or compatible dict) to a DB row."""
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if isinstance(b, dict):
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get = b.get
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else:
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get = lambda k, default=None: getattr(b, k, default)
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return {
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"accountNumber": str(get("accountNumber", "") or ""),
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"periodYear": int(get("periodYear", 0) or 0),
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"periodMonth": int(get("periodMonth", 0) or 0),
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"openingBalance": round(float(get("openingBalance", 0) or 0), 2),
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"debitTotal": round(float(get("debitTotal", 0) or 0), 2),
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"creditTotal": round(float(get("creditTotal", 0) or 0), 2),
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"closingBalance": round(float(get("closingBalance", 0) or 0), 2),
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"currency": str(get("currency", "CHF") or "CHF"),
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**scope,
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}
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def _isDebugDumpEnabled() -> bool:
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"""Whether to write raw connector payloads to disk for offline inspection.
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Controlled by ``APP_DEBUG_ACCOUNTING_SYNC_ENABLED``. Default False so that
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INT/PROD never spend disk/IO/RAM on dumping 7-figure JSON files. Mirrors
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the existing ``APP_DEBUG_CHAT_WORKFLOW_ENABLED`` pattern.
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"""
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try:
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from modules.shared.configuration import APP_CONFIG
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raw = APP_CONFIG.get("APP_DEBUG_ACCOUNTING_SYNC_ENABLED", False)
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if isinstance(raw, bool):
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return raw
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return str(raw).strip().lower() in {"true", "1", "yes", "on"}
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except Exception:
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return False
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def _resolveDebugDumpDir() -> Optional[Path]:
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"""Resolve the debug dump directory. Returns None if dumping is disabled
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or the path could not be created."""
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if not _isDebugDumpEnabled():
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return None
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try:
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from modules.shared.configuration import APP_CONFIG
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configured = APP_CONFIG.get("APP_DEBUG_ACCOUNTING_SYNC_DIR", None)
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if not configured:
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return None
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path = Path(str(configured))
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if not path.is_absolute():
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gatewayDir = Path(__file__).resolve().parents[4]
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path = gatewayDir / configured
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path.mkdir(parents=True, exist_ok=True)
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return path
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except Exception as ex:
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logger.warning(f"Could not resolve debug dump dir: {ex}")
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return None
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def _dumpSyncData(tag: str, rows: list) -> None:
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"""Write raw connector data to a timestamped JSON file. No-op unless
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``APP_DEBUG_ACCOUNTING_SYNC_ENABLED`` is true AND the configured dir
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resolves."""
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dumpDir = _resolveDebugDumpDir()
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if dumpDir is None:
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return
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try:
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ts = time.strftime("%Y%m%d-%H%M%S")
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path = dumpDir / f"{ts}_{tag}.json"
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serializable = []
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for r in rows:
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if isinstance(r, dict):
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serializable.append(r)
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elif hasattr(r, "__dict__"):
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serializable.append({k: v for k, v in r.__dict__.items() if not k.startswith("_")})
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else:
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serializable.append(str(r))
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with open(path, "w", encoding="utf-8") as f:
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_json.dump({"count": len(serializable), "rows": serializable}, f, ensure_ascii=False, indent=2, default=str)
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logger.info(f"Debug sync dump: {path.name} ({len(serializable)} rows)")
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except Exception as e:
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logger.warning(f"Failed to write debug sync dump for {tag}: {e}")
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class AccountingDataSync:
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"""Imports accounting data (read-only) from an external system into local TrusteeData* tables."""
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def __init__(self, trusteeInterface):
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self._if = trusteeInterface
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self._registry = getAccountingRegistry()
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async def importData(
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self,
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featureInstanceId: str,
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mandateId: str,
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dateFrom: Optional[str] = None,
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dateTo: Optional[str] = None,
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progressCb: Optional[Callable[[int, Optional[str]], None]] = None,
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) -> Dict[str, Any]:
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"""Run a full data import for a feature instance.
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Returns a summary dict with counts per entity and any errors. All heavy
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DB work is offloaded to a worker thread via ``asyncio.to_thread`` so
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the event loop remains responsive for other requests.
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``progressCb(percent, message)`` -- if provided, called at every phase
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boundary so the UI poll on ``GET /api/jobs/{jobId}`` shows real
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movement instead of jumping from 10 % to 100 %. Safe to omit.
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"""
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def _progress(pct: int, msg: str) -> None:
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if progressCb is None:
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return
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try:
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progressCb(pct, msg)
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except Exception as ex:
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logger.warning(f"progressCb failed at {pct}%: {ex}")
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from modules.features.trustee.datamodelFeatureTrustee import (
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TrusteeAccountingConfig,
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TrusteeDataAccount,
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TrusteeDataJournalEntry,
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TrusteeDataJournalLine,
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TrusteeDataContact,
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TrusteeDataAccountBalance,
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)
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from modules.shared.configuration import decryptValue
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summary: Dict[str, Any] = {
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"accounts": 0,
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"journalEntries": 0,
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"journalLines": 0,
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"contacts": 0,
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"accountBalances": 0,
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"oldestBookingDate": None,
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"newestBookingDate": None,
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"errors": [],
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"startedAt": time.time(),
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}
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cfgRecords = self._if.db.getRecordset(
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TrusteeAccountingConfig,
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recordFilter={"featureInstanceId": featureInstanceId, "isActive": True},
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)
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if not cfgRecords:
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summary["errors"].append("No active accounting configuration found")
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return summary
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cfgRecord = cfgRecords[0]
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connectorType = cfgRecord.get("connectorType", "")
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encryptedConfig = cfgRecord.get("encryptedConfig", "")
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try:
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plainJson = decryptValue(encryptedConfig)
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connConfig = _json.loads(plainJson) if plainJson else {}
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except Exception as e:
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summary["errors"].append(f"Failed to decrypt config: {e}")
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return summary
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connector = self._registry.getConnector(connectorType)
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if not connector:
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summary["errors"].append(f"Unknown connector type: {connectorType}")
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return summary
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scope = {"featureInstanceId": featureInstanceId, "mandateId": mandateId}
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logger.info(
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f"AccountingDataSync starting for {featureInstanceId}, "
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f"connector={connectorType}, dateFrom={dateFrom}, dateTo={dateTo}"
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)
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fetchedAccountNumbers: list = []
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# ---- Phase 1: Chart of accounts ----
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# Progress budget: 15-30 %. The fetch (15 %) is usually a single
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# snappy API call; the persist step (30 %) is bulk-insert and finishes
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# in <100 ms even for thousands of rows.
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try:
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_progress(15, "Lade Kontenplan...")
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charts = await connector.getChartOfAccounts(connConfig)
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_dumpSyncData("accounts", charts)
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fetchedAccountNumbers = [acc.accountNumber for acc in charts if acc.accountNumber]
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_progress(25, f"Speichere {len(charts)} Konten...")
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written = await asyncio.to_thread(
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self._persistAccounts, charts, scope, featureInstanceId, TrusteeDataAccount
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)
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summary["accounts"] = written
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_progress(30, f"{written} Konten gespeichert.")
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except Exception as e:
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logger.error(f"Import accounts failed: {e}", exc_info=True)
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summary["errors"].append(f"Accounts: {e}")
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# ---- Phase 2: Journal entries + lines ----
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# Progress budget: 35-65 %. Usually the longest phase; the external
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# API often paginates per account, so the fetch alone can take 30+ s.
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try:
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_progress(35, "Lade Journaleintraege vom Buchhaltungssystem...")
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rawEntries = await connector.getJournalEntries(
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connConfig,
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dateFrom=dateFrom,
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dateTo=dateTo,
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accountNumbers=fetchedAccountNumbers or None,
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)
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_dumpSyncData("journalEntries", rawEntries)
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_progress(60, f"Speichere {len(rawEntries)} Buchungssaetze...")
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entriesCount, linesCount, oldestDate, newestDate = await asyncio.to_thread(
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self._persistJournal, rawEntries, scope, featureInstanceId,
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TrusteeDataJournalEntry, TrusteeDataJournalLine,
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)
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summary["journalEntries"] = entriesCount
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summary["journalLines"] = linesCount
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summary["oldestBookingDate"] = oldestDate
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summary["newestBookingDate"] = newestDate
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_progress(65, f"{entriesCount} Saetze + {linesCount} Buchungszeilen gespeichert.")
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except Exception as e:
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logger.error(f"Import journal entries failed: {e}", exc_info=True)
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summary["errors"].append(f"Journal entries: {e}")
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# ---- Phase 3: Contacts (customers + vendors) ----
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# Progress budget: 70-85 %. Two quick API calls + one bulk-insert.
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try:
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_progress(70, "Lade Kunden...")
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customers = await connector.getCustomers(connConfig)
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_dumpSyncData("customers", customers)
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_progress(78, "Lade Lieferanten...")
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vendors = await connector.getVendors(connConfig)
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_dumpSyncData("vendors", vendors)
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_progress(82, f"Speichere {len(customers) + len(vendors)} Kontakte...")
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contactCount = await asyncio.to_thread(
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self._persistContacts, customers, vendors, scope,
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featureInstanceId, TrusteeDataContact,
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)
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summary["contacts"] = contactCount
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_progress(85, f"{contactCount} Kontakte gespeichert.")
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except Exception as e:
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logger.error(f"Import contacts failed: {e}", exc_info=True)
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summary["errors"].append(f"Contacts: {e}")
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# ---- Phase 4: Account balances ----
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# Progress budget: 88-95 %. Connector first (RMA -> /gl/saldo, Bexio
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# & Abacus -> aggregated journal). On empty/failed connector output
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# we fall back to a *correct* cumulative aggregation from the
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# journal lines we just persisted.
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connectorBalances: list = []
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balanceSource = "local-fallback"
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try:
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_progress(88, "Lade Kontensaldi vom Buchhaltungssystem...")
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balanceYears = _resolveBalanceYears(dateFrom, dateTo, summary.get("oldestBookingDate"), summary.get("newestBookingDate"))
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connectorBalances = await connector.getAccountBalances(
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connConfig,
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years=balanceYears,
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accountNumbers=fetchedAccountNumbers or None,
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)
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_dumpSyncData("accountBalances", connectorBalances)
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if connectorBalances:
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balanceSource = "connector"
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except Exception as e:
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logger.warning(f"Connector getAccountBalances failed, will use local fallback: {e}", exc_info=True)
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summary["errors"].append(f"Balances connector: {e}")
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try:
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_progress(92, "Speichere Kontensaldi...")
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balanceCount = await asyncio.to_thread(
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self._persistBalances, featureInstanceId, mandateId,
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TrusteeDataJournalEntry, TrusteeDataJournalLine, TrusteeDataAccountBalance,
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connectorBalances, balanceSource,
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)
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summary["accountBalances"] = balanceCount
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_progress(95, f"{balanceCount} Saldi gespeichert (source={balanceSource}).")
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except Exception as e:
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logger.error(f"Persist balances failed: {e}", exc_info=True)
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summary["errors"].append(f"Balances: {e}")
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cfgId = cfgRecord.get("id")
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if cfgId:
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corePayload = {
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"lastSyncAt": time.time(),
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"lastSyncStatus": "success" if not summary["errors"] else "partial",
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"lastSyncErrorMessage": "; ".join(summary["errors"])[:500] if summary["errors"] else None,
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}
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try:
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self._if.db.recordModify(TrusteeAccountingConfig, cfgId, corePayload)
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except Exception as coreErr:
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logger.exception(f"AccountingDataSync: failed to write core lastSync* fields for cfg {cfgId}: {coreErr}")
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summary["errors"].append(f"Persist lastSync core: {coreErr}")
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extPayload = {
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"lastSyncDateFrom": dateFrom,
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"lastSyncDateTo": dateTo,
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"lastSyncCounts": {
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"accounts": int(summary.get("accounts", 0)),
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"journalEntries": int(summary.get("journalEntries", 0)),
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"journalLines": int(summary.get("journalLines", 0)),
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"contacts": int(summary.get("contacts", 0)),
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"accountBalances": int(summary.get("accountBalances", 0)),
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# Actual oldest/newest booking date observed in the
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# imported journal entries. Lets the user verify that the
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# full requested window was returned by the source system.
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"oldestBookingDate": summary.get("oldestBookingDate"),
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"newestBookingDate": summary.get("newestBookingDate"),
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},
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}
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try:
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self._if.db.recordModify(TrusteeAccountingConfig, cfgId, extPayload)
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except Exception as extErr:
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logger.exception(f"AccountingDataSync: failed to write extended lastSync* fields for cfg {cfgId}: {extErr}")
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summary["errors"].append(f"Persist lastSync ext: {extErr}")
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summary["finishedAt"] = time.time()
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summary["durationSeconds"] = round(summary["finishedAt"] - summary["startedAt"], 1)
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logger.info(
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f"AccountingDataSync completed for {featureInstanceId}: "
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f"{summary['accounts']} accounts, {summary['journalEntries']} entries, "
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f"{summary['journalLines']} lines, {summary['contacts']} contacts, "
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f"{summary['accountBalances']} balances, {len(summary['errors'])} errors, "
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f"{summary['durationSeconds']}s"
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)
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return summary
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# ===== Sync persistence helpers (run inside asyncio.to_thread) =====
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def _persistAccounts(self, charts: list, scope: Dict[str, Any],
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featureInstanceId: str, modelAccount: Type) -> int:
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"""Bulk-replace chart of accounts for one feature instance."""
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t0 = time.time()
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self._bulkClear(modelAccount, featureInstanceId)
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rows = [{
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"accountNumber": acc.accountNumber,
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"label": acc.label,
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"accountType": acc.accountType or "",
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"currency": "CHF",
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"isActive": True,
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**scope,
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} for acc in charts]
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n = self._bulkCreate(modelAccount, rows)
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logger.info(f"Persisted {n} accounts for {featureInstanceId} in {time.time() - t0:.1f}s")
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return n
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def _persistJournal(self, rawEntries: list, scope: Dict[str, Any],
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featureInstanceId: str, modelEntry: Type, modelLine: Type) -> tuple:
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"""Bulk-replace journal entries + journal lines for one feature instance.
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We pre-build the line rows in memory keyed by the freshly minted entryId
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so a single ``execute_values`` call can persist all of them.
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Returns ``(entriesCount, linesCount, oldestBookingDate, newestBookingDate)``
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where the date strings are ISO ``YYYY-MM-DD`` (or ``None`` if no entries).
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"""
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import uuid as _uuid
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t0 = time.time()
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self._bulkClear(modelEntry, featureInstanceId)
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self._bulkClear(modelLine, featureInstanceId)
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entryRows: List[Dict[str, Any]] = []
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lineRows: List[Dict[str, Any]] = []
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oldestDate: Optional[str] = None
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newestDate: Optional[str] = None
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for raw in rawEntries:
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entryId = str(_uuid.uuid4())
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bookingDate = raw.get("bookingDate")
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if bookingDate:
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normalized = str(bookingDate).split("T")[0][:10]
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if normalized:
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if oldestDate is None or normalized < oldestDate:
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oldestDate = normalized
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if newestDate is None or normalized > newestDate:
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newestDate = normalized
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entryRows.append({
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"id": entryId,
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"externalId": raw.get("externalId"),
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"bookingDate": bookingDate,
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"reference": raw.get("reference"),
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"description": raw.get("description", ""),
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"currency": raw.get("currency", "CHF"),
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"totalAmount": float(raw.get("totalAmount", 0)),
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**scope,
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})
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for line in (raw.get("lines") or []):
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lineRows.append({
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"journalEntryId": entryId,
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"accountNumber": line.get("accountNumber", ""),
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"debitAmount": float(line.get("debitAmount", 0)),
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"creditAmount": float(line.get("creditAmount", 0)),
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"currency": line.get("currency", "CHF"),
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"taxCode": line.get("taxCode"),
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|
"costCenter": line.get("costCenter"),
|
|
"description": line.get("description", ""),
|
|
**scope,
|
|
})
|
|
if len(entryRows) % _HEARTBEAT_EVERY == 0:
|
|
logger.info(
|
|
f"Journal build progress: {len(entryRows)}/{len(rawEntries)} entries, "
|
|
f"{len(lineRows)} lines so far"
|
|
)
|
|
|
|
entriesCount = self._bulkCreate(modelEntry, entryRows)
|
|
linesCount = self._bulkCreate(modelLine, lineRows)
|
|
logger.info(
|
|
f"Persisted {entriesCount} entries + {linesCount} lines for "
|
|
f"{featureInstanceId} in {time.time() - t0:.1f}s "
|
|
f"(window: {oldestDate or '?'} .. {newestDate or '?'})"
|
|
)
|
|
return entriesCount, linesCount, oldestDate, newestDate
|
|
|
|
def _persistContacts(self, customers: list, vendors: list, scope: Dict[str, Any],
|
|
featureInstanceId: str, modelContact: Type) -> int:
|
|
"""Bulk-replace contacts (customers + vendors) for one feature instance."""
|
|
t0 = time.time()
|
|
self._bulkClear(modelContact, featureInstanceId)
|
|
rows = [self._mapContact(c, "customer", scope) for c in customers]
|
|
rows += [self._mapContact(v, "vendor", scope) for v in vendors]
|
|
n = self._bulkCreate(modelContact, rows)
|
|
logger.info(f"Persisted {n} contacts for {featureInstanceId} in {time.time() - t0:.1f}s")
|
|
return n
|
|
|
|
def _persistBalances(
|
|
self,
|
|
featureInstanceId: str,
|
|
mandateId: str,
|
|
modelEntry: Type,
|
|
modelLine: Type,
|
|
modelBalance: Type,
|
|
connectorBalances: list,
|
|
source: str,
|
|
) -> int:
|
|
"""Persist account balances per (account, period) into ``TrusteeDataAccountBalance``.
|
|
|
|
Source of truth (``source="connector"``): the list returned by
|
|
``BaseAccountingConnector.getAccountBalances`` is persisted 1:1.
|
|
|
|
Fallback (``source="local-fallback"``): aggregate the just-persisted
|
|
journal lines into **cumulative** balances. Unlike the previous
|
|
implementation, this version (a) carries the cumulative balance
|
|
forward across months/years for balance-sheet accounts, (b) resets
|
|
income-statement accounts at fiscal-year start, and (c) computes
|
|
``openingBalance`` correctly as the previous period's
|
|
``closingBalance``. ``openingBalance`` of the very first imported
|
|
period stays at 0 (no prior data available -- by design; see plan
|
|
document for rationale).
|
|
"""
|
|
t0 = time.time()
|
|
self._bulkClear(modelBalance, featureInstanceId)
|
|
scope = {"featureInstanceId": featureInstanceId, "mandateId": mandateId}
|
|
|
|
if connectorBalances:
|
|
rows = [_balanceModelToRow(b, scope) for b in connectorBalances]
|
|
n = self._bulkCreate(modelBalance, rows)
|
|
logger.info(
|
|
f"Persisted {n} balances for {featureInstanceId} in {time.time() - t0:.1f}s "
|
|
f"(source={source})"
|
|
)
|
|
return n
|
|
|
|
rows = self._buildLocalBalanceFallback(featureInstanceId, modelEntry, modelLine, scope)
|
|
n = self._bulkCreate(modelBalance, rows)
|
|
logger.info(
|
|
f"Persisted {n} balances for {featureInstanceId} in {time.time() - t0:.1f}s "
|
|
f"(source={source})"
|
|
)
|
|
return n
|
|
|
|
def _buildLocalBalanceFallback(
|
|
self,
|
|
featureInstanceId: str,
|
|
modelEntry: Type,
|
|
modelLine: Type,
|
|
scope: Dict[str, Any],
|
|
) -> List[Dict[str, Any]]:
|
|
"""Aggregate ``TrusteeDataJournalLine`` rows into cumulative period balances.
|
|
|
|
Returns rows ready for ``_bulkCreate``. Walks every account
|
|
chronologically through all years observed in the journal so the
|
|
cumulative balance and per-period opening are exact (within the
|
|
bounds of the imported window).
|
|
"""
|
|
entries = self._if.db.getRecordset(
|
|
modelEntry, recordFilter={"featureInstanceId": featureInstanceId},
|
|
) or []
|
|
entryDates: Dict[str, str] = {}
|
|
for e in entries:
|
|
eid = e.get("id") if isinstance(e, dict) else getattr(e, "id", None)
|
|
bdate = e.get("bookingDate") if isinstance(e, dict) else getattr(e, "bookingDate", None)
|
|
if eid and bdate:
|
|
entryDates[eid] = bdate
|
|
|
|
lines = self._if.db.getRecordset(
|
|
modelLine, recordFilter={"featureInstanceId": featureInstanceId},
|
|
) or []
|
|
|
|
movements: Dict[tuple, Dict[str, float]] = defaultdict(lambda: {"debit": 0.0, "credit": 0.0})
|
|
observedYears: set = set()
|
|
observedAccounts: set = set()
|
|
for ln in lines:
|
|
if isinstance(ln, dict):
|
|
jeid = ln.get("journalEntryId", "")
|
|
accNo = ln.get("accountNumber", "")
|
|
debit = float(ln.get("debitAmount", 0))
|
|
credit = float(ln.get("creditAmount", 0))
|
|
else:
|
|
jeid = getattr(ln, "journalEntryId", "")
|
|
accNo = getattr(ln, "accountNumber", "")
|
|
debit = float(getattr(ln, "debitAmount", 0))
|
|
credit = float(getattr(ln, "creditAmount", 0))
|
|
|
|
bdate = entryDates.get(jeid, "")
|
|
if not accNo or not bdate:
|
|
continue
|
|
parts = str(bdate).split("-")
|
|
if len(parts) < 2:
|
|
continue
|
|
try:
|
|
year = int(parts[0])
|
|
month = int(parts[1])
|
|
except ValueError:
|
|
continue
|
|
movements[(accNo, year, month)]["debit"] += debit
|
|
movements[(accNo, year, month)]["credit"] += credit
|
|
observedYears.add(year)
|
|
observedAccounts.add(accNo)
|
|
|
|
if not observedYears or not observedAccounts:
|
|
return []
|
|
|
|
sortedYears = sorted(observedYears)
|
|
rows: List[Dict[str, Any]] = []
|
|
for accNo in sorted(observedAccounts):
|
|
isER = _isIncomeStatementAccount(accNo)
|
|
cumulativeOpeningOfYear = 0.0
|
|
for year in sortedYears:
|
|
yearOpening = 0.0 if isER else cumulativeOpeningOfYear
|
|
running = yearOpening
|
|
yearDebit = 0.0
|
|
yearCredit = 0.0
|
|
for month in range(1, 13):
|
|
opening = running
|
|
mov = movements.get((accNo, year, month), {"debit": 0.0, "credit": 0.0})
|
|
running = opening + mov["debit"] - mov["credit"]
|
|
yearDebit += mov["debit"]
|
|
yearCredit += mov["credit"]
|
|
if mov["debit"] == 0 and mov["credit"] == 0 and opening == 0 and running == 0:
|
|
continue
|
|
rows.append({
|
|
"accountNumber": accNo,
|
|
"periodYear": year,
|
|
"periodMonth": month,
|
|
"openingBalance": round(opening, 2),
|
|
"debitTotal": round(mov["debit"], 2),
|
|
"creditTotal": round(mov["credit"], 2),
|
|
"closingBalance": round(running, 2),
|
|
"currency": "CHF",
|
|
**scope,
|
|
})
|
|
rows.append({
|
|
"accountNumber": accNo,
|
|
"periodYear": year,
|
|
"periodMonth": 0,
|
|
"openingBalance": round(yearOpening, 2),
|
|
"debitTotal": round(yearDebit, 2),
|
|
"creditTotal": round(yearCredit, 2),
|
|
"closingBalance": round(running, 2),
|
|
"currency": "CHF",
|
|
**scope,
|
|
})
|
|
cumulativeOpeningOfYear = running
|
|
return rows
|
|
|
|
# ===== Low-level bulk helpers =====
|
|
|
|
def _bulkClear(self, model: Type, featureInstanceId: str) -> int:
|
|
"""Delete every row for this feature instance in a single statement."""
|
|
try:
|
|
return self._if.db.recordDeleteWhere(
|
|
model, {"featureInstanceId": featureInstanceId}
|
|
)
|
|
except AttributeError:
|
|
# Backwards-compatible path if the connector hasn't been upgraded
|
|
# yet. Logs a warning so we notice in dev/CI.
|
|
logger.warning(
|
|
"DatabaseConnector.recordDeleteWhere missing — falling back to slow per-row delete for %s",
|
|
model.__name__,
|
|
)
|
|
records = self._if.db.getRecordset(
|
|
model, recordFilter={"featureInstanceId": featureInstanceId}
|
|
) or []
|
|
count = 0
|
|
for r in records:
|
|
rid = r.get("id") if isinstance(r, dict) else getattr(r, "id", None)
|
|
if rid:
|
|
try:
|
|
self._if.db.recordDelete(model, rid)
|
|
count += 1
|
|
except Exception:
|
|
pass
|
|
return count
|
|
|
|
def _bulkCreate(self, model: Type, rows: List[Dict[str, Any]]) -> int:
|
|
"""Insert all rows in a single transaction. Falls back to per-row
|
|
insert only if the connector lacks ``recordCreateBulk`` (legacy)."""
|
|
if not rows:
|
|
return 0
|
|
try:
|
|
return self._if.db.recordCreateBulk(model, rows)
|
|
except AttributeError:
|
|
logger.warning(
|
|
"DatabaseConnector.recordCreateBulk missing — falling back to slow per-row insert for %s",
|
|
model.__name__,
|
|
)
|
|
n = 0
|
|
for i, r in enumerate(rows, start=1):
|
|
try:
|
|
self._if.db.recordCreate(model, r)
|
|
n += 1
|
|
except Exception as ex:
|
|
logger.warning(f"Per-row insert failed at {i}/{len(rows)}: {ex}")
|
|
if i % _HEARTBEAT_EVERY == 0:
|
|
logger.info(f"Per-row insert progress: {i}/{len(rows)} rows ({model.__name__})")
|
|
return n
|
|
|
|
# ===== Field helpers =====
|
|
|
|
@staticmethod
|
|
def _safeStr(val: Any) -> str:
|
|
"""Convert a value to a safe string for DB storage, collapsing nested dicts/lists."""
|
|
if val is None:
|
|
return ""
|
|
if isinstance(val, (dict, list)):
|
|
return ""
|
|
return str(val)
|
|
|
|
def _mapContact(self, raw: Dict[str, Any], contactType: str, scope: Dict[str, Any]) -> Dict[str, Any]:
|
|
"""Extract contact fields from a raw API dict, handling varying field names across connectors."""
|
|
s = self._safeStr
|
|
return {
|
|
"externalId": s(raw.get("id") or raw.get("Id") or raw.get("customer_nr") or raw.get("vendor_nr") or ""),
|
|
"contactType": contactType,
|
|
"contactNumber": s(
|
|
raw.get("customernumber") or raw.get("customer_nr")
|
|
or raw.get("vendornumber") or raw.get("vendor_nr")
|
|
or raw.get("nr") or raw.get("ContactNumber")
|
|
or raw.get("id") or ""
|
|
),
|
|
"name": s(raw.get("name") or raw.get("Name") or raw.get("name_1") or ""),
|
|
"address": s(raw.get("addr1") or raw.get("address") or raw.get("Address") or ""),
|
|
"zip": s(raw.get("zipcode") or raw.get("postcode") or raw.get("Zip") or raw.get("zip") or ""),
|
|
"city": s(raw.get("city") or raw.get("City") or ""),
|
|
"country": s(raw.get("country") or raw.get("country_id") or raw.get("Country") or ""),
|
|
"email": s(raw.get("email") or raw.get("mail") or raw.get("Email") or ""),
|
|
"phone": s(raw.get("phone") or raw.get("phone_fixed") or raw.get("Phone") or ""),
|
|
"vatNumber": s(raw.get("vat_identifier") or raw.get("vatNumber") or ""),
|
|
**scope,
|
|
}
|