0eee14f69a
Pure-Python helper that, given an account_id and a date range, fetches posted account.move.line records and returns a flat list of dicts ready for the drill-down OWL dialog. Used by the engine's drill_down() method. 3 new tests, 35 total passing. Made-with: Cursor
82 lines
2.3 KiB
Python
82 lines
2.3 KiB
Python
"""Drill-down: from a report line to its underlying journal items.
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Given an account_id and a Period, fetches the matching account.move.line
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records and returns them in a flat list. Used by the OWL drill-down
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dialog and the engine's drill_down() public API."""
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from dataclasses import dataclass
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from datetime import date
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@dataclass
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class DrillDownRow:
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move_line_id: int
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move_id: int
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move_name: str
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date: date
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account_code: str
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account_name: str
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partner_name: str | None
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label: str
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debit: float
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credit: float
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balance: float
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def to_dict(self):
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return {
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'move_line_id': self.move_line_id,
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'move_id': self.move_id,
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'move_name': self.move_name,
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'date': str(self.date),
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'account_code': self.account_code,
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'account_name': self.account_name,
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'partner_name': self.partner_name or '',
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'label': self.label,
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'debit': self.debit,
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'credit': self.credit,
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'balance': self.balance,
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}
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def fetch_drill_down(
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env,
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*,
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account_id: int,
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date_from: date,
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date_to: date,
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company_id: int | None = None,
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limit: int = 500,
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) -> list[dict]:
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"""Fetch journal items for an account within a date range.
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Returns flat list of dicts ready for the drill-down OWL table."""
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Line = env['account.move.line'].sudo()
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domain = [
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('account_id', '=', account_id),
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('date', '>=', date_from),
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('date', '<=', date_to),
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('parent_state', '=', 'posted'),
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]
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if company_id:
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domain.append(('company_id', '=', company_id))
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move_lines = Line.search(domain, limit=limit, order='date asc, id asc')
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rows = []
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for ml in move_lines:
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rows.append(
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DrillDownRow(
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move_line_id=ml.id,
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move_id=ml.move_id.id,
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move_name=ml.move_id.name or '',
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date=ml.date,
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account_code=ml.account_id.code,
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account_name=ml.account_id.name,
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partner_name=ml.partner_id.name if ml.partner_id else None,
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label=ml.name or '',
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debit=ml.debit,
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credit=ml.credit,
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balance=ml.balance,
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).to_dict()
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)
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return rows
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