A R R R Associates
641 lines
23 KiB
Python
641 lines
23 KiB
Python
from __future__ import annotations
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from typing import Any
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from app.modules.accounting.agent_bridge import request_agent_command
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DEFAULT_QUERY_TIMEOUT_SECONDS = 45
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DEFAULT_SYNC_TIMEOUT_SECONDS = 330
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class AccountingMirrorError(RuntimeError):
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pass
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def _unwrap(response: dict[str, Any]) -> dict[str, Any]:
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if not isinstance(response, dict):
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raise AccountingMirrorError("ERP Local Agent returned an invalid response.")
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if not response.get("ok"):
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raise AccountingMirrorError(str(response.get("error") or "ERP Local Agent command failed."))
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result = response.get("result")
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if not isinstance(result, dict):
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raise AccountingMirrorError("ERP Local Agent returned an invalid mirror result.")
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return result
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def mirror_status(*, node_code: str, accounting_payload: dict[str, Any]) -> dict[str, Any]:
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response = request_agent_command(
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node_code,
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"accounting_mirror_status",
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accounting_payload,
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timeout_seconds=DEFAULT_QUERY_TIMEOUT_SECONDS,
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)
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return _unwrap(response)
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def mirror_sync(
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*,
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node_code: str,
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accounting_payload: dict[str, Any],
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company_name: str = "",
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company_guid: str = "",
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dsn: str = "TallyODBC64_9000",
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timeout_seconds: int = DEFAULT_SYNC_TIMEOUT_SECONDS,
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) -> dict[str, Any]:
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payload = dict(accounting_payload or {})
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payload.update(
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{
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"company_name": str(company_name or "").strip(),
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"company_guid": str(company_guid or "").strip(),
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"dsn": str(dsn or "TallyODBC64_9000").strip(),
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"timeout_seconds": max(60, int(timeout_seconds)),
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}
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)
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response = request_agent_command(
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node_code,
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"accounting_mirror_sync",
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payload,
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timeout_seconds=max(60, int(timeout_seconds)),
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)
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return _unwrap(response)
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def mirror_query(
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*,
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node_code: str,
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accounting_payload: dict[str, Any],
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query: str,
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filters: dict[str, Any] | None = None,
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timeout_seconds: int = DEFAULT_QUERY_TIMEOUT_SECONDS,
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) -> dict[str, Any]:
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payload = dict(accounting_payload or {})
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payload.update({"query": str(query or "").strip(), "filters": filters or {}})
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response = request_agent_command(
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node_code,
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"accounting_mirror_query",
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payload,
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timeout_seconds=max(10, int(timeout_seconds)),
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)
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return _unwrap(response)
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def daybook(*, node_code: str, accounting_payload: dict[str, Any], from_date="", to_date="", limit=500):
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return mirror_query(
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node_code=node_code,
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accounting_payload=accounting_payload,
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query="daybook",
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filters={"from_date": from_date, "to_date": to_date, "limit": limit},
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)
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def trial_balance(*, node_code: str, accounting_payload: dict[str, Any], limit=5000):
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return mirror_query(
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node_code=node_code,
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accounting_payload=accounting_payload,
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query="trial_balance",
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filters={"limit": limit},
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)
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def ledger_transactions(
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*,
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node_code: str,
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accounting_payload: dict[str, Any],
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ledger_name: str,
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from_date="",
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to_date="",
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limit=5000,
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):
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return mirror_query(
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node_code=node_code,
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accounting_payload=accounting_payload,
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query="ledger_transactions",
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filters={
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"ledger_name": ledger_name,
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"from_date": from_date,
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"to_date": to_date,
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"limit": limit,
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},
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)
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def inventory(
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*,
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node_code: str,
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accounting_payload: dict[str, Any],
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stock_item_name: str = "",
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from_date="",
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to_date="",
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limit=5000,
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):
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return mirror_query(
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node_code=node_code,
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accounting_payload=accounting_payload,
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query="inventory",
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filters={
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"stock_item_name": stock_item_name,
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"from_date": from_date,
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"to_date": to_date,
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"limit": limit,
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},
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)
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def stock_items(*, node_code: str, accounting_payload: dict[str, Any], limit=5000):
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return mirror_query(
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node_code=node_code,
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accounting_payload=accounting_payload,
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query="stock_items",
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filters={"limit": limit},
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)
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def hsn_history(*, node_code: str, accounting_payload: dict[str, Any], stock_item_name: str):
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return mirror_query(
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node_code=node_code,
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accounting_payload=accounting_payload,
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query="hsn_history",
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filters={"stock_item_name": stock_item_name},
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)
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def gst_history(*, node_code: str, accounting_payload: dict[str, Any], stock_item_name: str):
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return mirror_query(
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node_code=node_code,
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accounting_payload=accounting_payload,
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query="gst_history",
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filters={"stock_item_name": stock_item_name},
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)
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def cash_transactions(
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*,
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node_code: str,
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accounting_payload: dict[str, Any],
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ledger_name: str = "Cash",
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from_date="",
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to_date="",
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limit=5000,
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):
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return mirror_query(
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node_code=node_code,
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accounting_payload=accounting_payload,
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query="cash_transactions",
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filters={
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"ledger_name": ledger_name,
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"from_date": from_date,
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"to_date": to_date,
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"limit": limit,
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},
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)
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def voucher(*, node_code: str, accounting_payload: dict[str, Any], voucher_guid: str):
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return mirror_query(
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node_code=node_code,
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accounting_payload=accounting_payload,
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query="voucher",
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filters={"voucher_guid": voucher_guid},
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)
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def mirror_exceptions(*, node_code: str, accounting_payload: dict[str, Any], limit=5000):
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return mirror_query(
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node_code=node_code,
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accounting_payload=accounting_payload,
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query="exceptions",
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filters={"limit": limit},
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)
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def refresh_masters(*, node_code: str, accounting_payload: dict[str, Any], tally_guid: str,
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requested_by_user_id: int | None = None) -> dict[str, Any]:
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payload = dict(accounting_payload or {})
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payload["tally_guid"] = str(tally_guid or "").strip()
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if requested_by_user_id is not None:
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payload["requested_by_user_id"] = int(requested_by_user_id)
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return _unwrap(request_agent_command(
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node_code, "accounting_sync_masters", payload, timeout_seconds=330
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))
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def refresh_transactions(*, node_code: str, accounting_payload: dict[str, Any], tally_guid: str,
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date_from: str, date_to: str,
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requested_by_user_id: int | None = None) -> dict[str, Any]:
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payload = dict(accounting_payload or {})
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payload.update({"tally_guid": str(tally_guid or "").strip(),
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"date_from": str(date_from or "").strip(),
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"date_to": str(date_to or "").strip()})
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if requested_by_user_id is not None:
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payload["requested_by_user_id"] = int(requested_by_user_id)
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return _unwrap(request_agent_command(
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node_code, "accounting_sync_transactions", payload, timeout_seconds=330
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))
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def _creditor_movements(
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*,
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node_code: str,
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accounting_payload: dict[str, Any],
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from_date: str,
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to_date: str,
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limit: int = 50000,
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) -> dict[str, Any]:
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return mirror_query(
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node_code=node_code,
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accounting_payload=accounting_payload,
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query="sundry_creditor_movements",
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filters={
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"from_date": str(from_date or "").strip(),
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"to_date": str(to_date or "").strip(),
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"limit": max(1, min(100000, int(limit or 50000))),
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},
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timeout_seconds=90,
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)
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def sundry_creditors_aging(
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*,
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node_code: str,
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accounting_payload: dict[str, Any],
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fy_start: str,
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fy_end: str,
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follow_up_accounting_payload: dict[str, Any] | None = None,
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follow_up_start: str = "",
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follow_up_end: str = "",
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limit: int = 50000,
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) -> dict[str, Any]:
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"""Age closing Sundry Creditors using FIFO from the Accounting Mirror.
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The selected-FY closing is reconstructed from the mirror's ledger opening
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balance plus all creditor movements available up to the selected FY end.
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FIFO means the oldest credit lots are settled first; therefore the closing
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unpaid balance is reconstructed from the newest surviving credit lots.
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Voucher dates are normalized before ageing. This is intentionally strict:
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a dated movement that cannot be parsed is not silently treated as an old
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opening balance, because doing so would incorrectly push current balances
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into the >180-day bucket.
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"""
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from datetime import date as _date, datetime as _datetime, timedelta as _timedelta
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# Pull everything available up to the selected FY end. This lets a mirror
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# containing more than one FY retain the original date of an older surviving
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# creditor lot. If the mirror starts at the selected FY, any unrepresented
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# residual is treated as brought forward and is necessarily >180 days at FY end.
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current = _creditor_movements(
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node_code=node_code,
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accounting_payload=accounting_payload,
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from_date="",
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to_date=fy_end,
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limit=limit,
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)
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later = {"ledgers": [], "rows": []}
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if follow_up_accounting_payload is not None and follow_up_start and follow_up_end:
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later = _creditor_movements(
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node_code=node_code,
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accounting_payload=follow_up_accounting_payload,
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from_date=follow_up_start,
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to_date=follow_up_end,
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limit=limit,
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)
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if current.get("truncated"):
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raise AccountingMirrorError(
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"Sundry Creditor movement extraction reached the safety limit. "
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"Increase the mirror query limit before relying on this analysis."
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)
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if int(current.get("date_parse_error_count") or 0) > 0:
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sample = (current.get("date_parse_errors") or [{}])[0]
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raise AccountingMirrorError(
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"Accounting Mirror contains creditor voucher date(s) that cannot be normalized. "
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f"First affected entry: {sample.get('ledger_name') or 'Unknown ledger'} / "
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f"{sample.get('voucher_number') or 'No voucher number'} / "
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f"{sample.get('voucher_date') or 'blank date'}. Refresh the Accounting Mirror and retry."
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)
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if later.get("truncated"):
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raise AccountingMirrorError(
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"Follow-up Sundry Creditor movement extraction reached the safety limit. "
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"Increase the mirror query limit before relying on the subsequent-payment analysis."
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)
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if int(later.get("date_parse_error_count") or 0) > 0:
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sample = (later.get("date_parse_errors") or [{}])[0]
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raise AccountingMirrorError(
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"Follow-up Accounting Mirror contains creditor voucher date(s) that cannot be normalized. "
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f"First affected entry: {sample.get('ledger_name') or 'Unknown ledger'} / "
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f"{sample.get('voucher_number') or 'No voucher number'} / "
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f"{sample.get('voucher_date') or 'blank date'}. Refresh the follow-up Accounting Mirror and retry."
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)
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fy_start_date = _date.fromisoformat(fy_start)
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fy_end_date = _date.fromisoformat(fy_end)
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opening_fallback_date = fy_start_date - _timedelta(days=1)
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def _money(value: Any) -> float:
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try:
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return round(float(value or 0), 2)
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except (TypeError, ValueError):
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return 0.0
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def _parse_date(value: Any) -> _date | None:
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text = str(value or "").strip()
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if not text:
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return None
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# Fast path for the current .act ISO format.
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try:
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return _date.fromisoformat(text[:10])
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except ValueError:
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pass
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candidates = (
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"%Y%m%d",
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"%d-%m-%Y",
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"%d/%m/%Y",
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"%d-%b-%Y",
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"%d-%b-%y",
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"%m/%d/%Y",
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"%m/%d/%Y %H:%M:%S",
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"%Y-%m-%d %H:%M:%S",
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)
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for fmt in candidates:
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try:
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return _datetime.strptime(text, fmt).date()
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except ValueError:
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continue
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return None
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def _iso_date(value: Any) -> str:
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parsed = _parse_date(value)
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return parsed.isoformat() if parsed else ""
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ledger_meta = {
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str(x.get("ledger_name") or "").casefold(): x
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for x in (current.get("ledgers") or [])
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if str(x.get("ledger_name") or "").strip()
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}
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by_ledger: dict[str, list[dict[str, Any]]] = {}
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invalid_dates: list[dict[str, str]] = []
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for raw_row in current.get("rows") or []:
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row = dict(raw_row)
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name = str(row.get("ledger_name") or "").strip()
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if not name:
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continue
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parsed = _parse_date(row.get("voucher_date"))
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if parsed is None:
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invalid_dates.append({
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"party": name,
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"voucher_number": str(row.get("voucher_number") or ""),
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"voucher_date": str(row.get("voucher_date") or ""),
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})
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continue
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if parsed > fy_end_date:
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continue
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row["voucher_date"] = parsed.isoformat()
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row["_parsed_date"] = parsed
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by_ledger.setdefault(name.casefold(), []).append(row)
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if invalid_dates:
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first = invalid_dates[0]
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raise AccountingMirrorError(
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"Accounting Mirror contains creditor voucher date(s) that could not be parsed. "
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f"First affected entry: {first['party']} / {first['voucher_number']} / "
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f"{first['voucher_date'] or 'blank date'}. Refresh the Accounting Mirror and retry."
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)
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later_by_ledger: dict[str, list[dict[str, Any]]] = {}
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invalid_later_dates: list[dict[str, str]] = []
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for raw_row in later.get("rows") or []:
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row = dict(raw_row)
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name = str(row.get("ledger_name") or "").strip()
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if not name:
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continue
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parsed = _parse_date(row.get("voucher_date"))
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if parsed is None:
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invalid_later_dates.append({
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"party": name,
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"voucher_number": str(row.get("voucher_number") or ""),
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"voucher_date": str(row.get("voucher_date") or ""),
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})
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continue
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row["voucher_date"] = parsed.isoformat()
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row["_parsed_date"] = parsed
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later_by_ledger.setdefault(name.casefold(), []).append(row)
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if invalid_later_dates:
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first = invalid_later_dates[0]
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raise AccountingMirrorError(
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"Follow-up Accounting Mirror contains creditor voucher date(s) that could not be parsed. "
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f"First affected entry: {first['party']} / {first['voucher_number']} / "
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f"{first['voucher_date'] or 'blank date'}. Refresh the follow-up Accounting Mirror and retry."
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)
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parties: list[dict[str, Any]] = []
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details: list[dict[str, Any]] = []
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party_names = sorted(
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{
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str(x.get("ledger_name") or "").strip()
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for x in (current.get("ledgers") or [])
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if str(x.get("ledger_name") or "").strip()
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},
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key=str.casefold,
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)
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for party_name in party_names:
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key = party_name.casefold()
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meta = ledger_meta.get(key) or {}
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rows = sorted(
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by_ledger.get(key, []),
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key=lambda r: (r.get("_parsed_date"), int(r.get("line_no") or 0)),
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)
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# Preserve the selected-FY closing-balance control already validated in v2:
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# ledger opening + movements inside the selected FY. Earlier rows, when the
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# mirror has them, are used only to identify the original date/composition of
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# brought-forward FIFO lots; they are not added again to the closing balance.
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opening_balance = _money(meta.get("opening_balance"))
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fy_rows = [
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row for row in rows
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if fy_start_date <= row.get("_parsed_date") <= fy_end_date
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]
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period_credit = round(sum(
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_money(row.get("amount")) for row in fy_rows
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if str(row.get("dr_cr") or "").upper() == "CR"
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), 2)
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period_debit = round(sum(
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_money(row.get("amount")) for row in fy_rows
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if str(row.get("dr_cr") or "").upper() == "DR"
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), 2)
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historical_closing = round(opening_balance + period_credit - period_debit, 2)
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closing_balance = max(0.0, historical_closing)
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if closing_balance <= 0.009:
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continue
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credit_rows = [
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row for row in rows
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if str(row.get("dr_cr") or "").upper() == "CR"
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and _money(row.get("amount")) > 0.009
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]
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# FIFO reverse reconstruction. FIFO settlements clear oldest balances,
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# so the newest credit lots are the ones that survive at the reporting date.
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amount_to_allocate = closing_balance
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lots_newest_first: list[dict[str, Any]] = []
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for row in reversed(credit_rows):
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if amount_to_allocate <= 0.009:
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break
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source_amount = _money(row.get("amount"))
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allocated = round(min(source_amount, amount_to_allocate), 2)
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if allocated <= 0.009:
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continue
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lots_newest_first.append({
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"party_name": party_name,
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"source": "Voucher",
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"voucher_date": str(row.get("voucher_date") or ""),
|
|
"voucher_type": str(row.get("voucher_type") or ""),
|
|
"voucher_number": str(row.get("voucher_number") or ""),
|
|
"reference": str(row.get("reference") or ""),
|
|
"original_credit": source_amount,
|
|
"remaining": allocated,
|
|
"outstanding_at_fy_end": allocated,
|
|
"paid_subsequently": 0.0,
|
|
"final_payment_date": "",
|
|
})
|
|
amount_to_allocate = round(amount_to_allocate - allocated, 2)
|
|
|
|
# If the closing cannot be fully represented by dated credit rows available
|
|
# in this mirror, the residual is a genuine brought-forward component.
|
|
if amount_to_allocate > 0.009:
|
|
lots_newest_first.append({
|
|
"party_name": party_name,
|
|
"source": "Opening / brought forward",
|
|
"voucher_date": opening_fallback_date.isoformat(),
|
|
"voucher_type": "Opening",
|
|
"voucher_number": "",
|
|
"reference": "",
|
|
"original_credit": amount_to_allocate,
|
|
"remaining": amount_to_allocate,
|
|
"outstanding_at_fy_end": amount_to_allocate,
|
|
"paid_subsequently": 0.0,
|
|
"final_payment_date": "",
|
|
})
|
|
|
|
closing_lots = sorted(
|
|
lots_newest_first,
|
|
key=lambda lot: (
|
|
_parse_date(lot.get("voucher_date")) or opening_fallback_date,
|
|
str(lot.get("voucher_number") or ""),
|
|
),
|
|
)
|
|
|
|
def settle_follow_up(amount: float, paid_on: str) -> None:
|
|
remaining_payment = max(0.0, _money(amount))
|
|
for lot in closing_lots:
|
|
if remaining_payment <= 0.009:
|
|
break
|
|
available = max(0.0, _money(lot.get("remaining")))
|
|
if available <= 0.009:
|
|
continue
|
|
applied = round(min(available, remaining_payment), 2)
|
|
lot["remaining"] = round(available - applied, 2)
|
|
lot["paid_subsequently"] = round(_money(lot.get("paid_subsequently")) + applied, 2)
|
|
remaining_payment = round(remaining_payment - applied, 2)
|
|
if _money(lot.get("remaining")) <= 0.009:
|
|
lot["final_payment_date"] = paid_on
|
|
|
|
for row in sorted(
|
|
later_by_ledger.get(key, []),
|
|
key=lambda r: (r.get("_parsed_date"), int(r.get("line_no") or 0)),
|
|
):
|
|
if str(row.get("dr_cr") or "").upper() == "DR":
|
|
settle_follow_up(_money(row.get("amount")), str(row.get("voucher_date") or ""))
|
|
|
|
within_180 = 0.0
|
|
over_180 = 0.0
|
|
paid_later = 0.0
|
|
still_unpaid = 0.0
|
|
over_180_lots: list[dict[str, Any]] = []
|
|
|
|
for lot in closing_lots:
|
|
lot_date = _parse_date(lot.get("voucher_date")) or opening_fallback_date
|
|
age_days = max(0, (fy_end_date - lot_date).days)
|
|
bucket = ">180 Days" if age_days > 180 else "≤180 Days"
|
|
outstanding = _money(lot.get("outstanding_at_fy_end"))
|
|
paid = round(min(outstanding, _money(lot.get("paid_subsequently"))), 2)
|
|
after = round(max(0.0, outstanding - paid), 2)
|
|
|
|
if bucket == ">180 Days":
|
|
over_180 = round(over_180 + outstanding, 2)
|
|
paid_later = round(paid_later + paid, 2)
|
|
still_unpaid = round(still_unpaid + after, 2)
|
|
over_180_lots.append(lot)
|
|
else:
|
|
within_180 = round(within_180 + outstanding, 2)
|
|
|
|
details.append({
|
|
"party_name": lot.get("party_name"),
|
|
"source": lot.get("source"),
|
|
"voucher_date": lot.get("voucher_date"),
|
|
"voucher_type": lot.get("voucher_type"),
|
|
"voucher_number": lot.get("voucher_number"),
|
|
"reference": lot.get("reference"),
|
|
"original_credit": lot.get("original_credit"),
|
|
"outstanding_at_fy_end": outstanding,
|
|
"age_days": age_days,
|
|
"age_bucket": bucket,
|
|
"paid_subsequently": paid,
|
|
"balance_after_follow_up": after,
|
|
"final_payment_date": lot.get("final_payment_date"),
|
|
"allocation_basis": "FIFO from dated Accounting Mirror creditor movements",
|
|
})
|
|
|
|
final_payment_date = ""
|
|
if over_180_lots and all(_money(lot.get("remaining")) <= 0.009 for lot in over_180_lots):
|
|
dates = [
|
|
str(lot.get("final_payment_date") or "")
|
|
for lot in over_180_lots
|
|
if lot.get("final_payment_date")
|
|
]
|
|
if dates:
|
|
final_payment_date = max(dates)
|
|
|
|
reconstructed = round(within_180 + over_180, 2)
|
|
variance = round(closing_balance - reconstructed, 2)
|
|
if abs(variance) > 0.01:
|
|
raise AccountingMirrorError(
|
|
f"FIFO reconstruction does not reconcile for {party_name}: "
|
|
f"selected-FY closing {closing_balance:.2f}, reconstructed {reconstructed:.2f}."
|
|
)
|
|
|
|
parties.append({
|
|
"party_name": party_name,
|
|
"within_180": within_180,
|
|
"over_180": over_180,
|
|
"closing_balance": closing_balance,
|
|
"over_180_paid_later": paid_later,
|
|
"over_180_still_unpaid": still_unpaid,
|
|
"final_payment_date": final_payment_date,
|
|
})
|
|
|
|
summary = {
|
|
"party_count": len(parties),
|
|
"total_closing": round(sum(x["closing_balance"] for x in parties), 2),
|
|
"within_180": round(sum(x["within_180"] for x in parties), 2),
|
|
"over_180": round(sum(x["over_180"] for x in parties), 2),
|
|
"over_180_paid_later": round(sum(x["over_180_paid_later"] for x in parties), 2),
|
|
"over_180_still_unpaid": round(sum(x["over_180_still_unpaid"] for x in parties), 2),
|
|
}
|
|
return {
|
|
"summary": summary,
|
|
"parties": parties,
|
|
"details": details,
|
|
"allocation_basis": (
|
|
"FIFO from dated Accounting Mirror movements; historical closing is "
|
|
"reconstructed from ledger opening plus selected-FY movements, "
|
|
"and the newest surviving credit lots form the unpaid closing balance"
|
|
),
|
|
"current_mirror": current.get("mirror") or {},
|
|
"follow_up_mirror": later.get("mirror") or {},
|
|
}
|