Lucas Lefèvre
ac00548b28
Purpose ======= Have a quick export feature. The current export wizard is quite complex. We want to be able to quickly export a tree view, with the group by correctly represented, depending on the fields visible in the list view. Specification ============= Add an "EXPORT (XLS)" button in the list view (a little download icon) - export only columns visible in list view - export all the records - while respecting the group by This should be a generic feature but should be applied to all the account.move.lines list views. account.view_move_line_tree_grouped_sales_purchases account.view_move_line_tree_grouped_bank_cash account.view_move_line_tree_grouped_misc Task 2031835 closes odoo/odoo#36943 Signed-off-by: Yannick Tivisse (yti) <yti@odoo.com>
99 lines
4.0 KiB
Python
99 lines
4.0 KiB
Python
# -*- coding: utf-8 -*-
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# Part of Odoo. See LICENSE file for full copyright and licensing details.
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import json
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from datetime import datetime
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from odoo import http
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from odoo.http import request
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from odoo.tools.misc import xlwt
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HEADER_BOLD = xlwt.easyxf("font: bold on; pattern: pattern solid, fore_colour gray25;")
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class TableListExporter(http.Controller):
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def _write_group_header(self, worksheet, x, y, group, columns, group_depth=0):
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aggregates = group.get('aggregateValues', {})
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title = group.get('value')
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if group.get('hideHeader'):
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return x, y
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title = '%s%s (%s)' % ('>' * group_depth, title, group.get('count', 0))
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worksheet.write(x, y, title, HEADER_BOLD)
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for column in columns[1:]: # No aggregates allowed in the first column
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y += 1
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worksheet.write(x, y, aggregates.get(column['field'], ''), HEADER_BOLD)
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return x + 1, 0
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def _write_record(self, worksheet, x, y, record, columns):
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for column in columns:
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worksheet.write(x, y, record[column['field']])
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y += 1
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return x + 1, 0
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def _write_groups(self, worksheet, x, y, groups, columns, group_depth=0):
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"""
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Write groups to the xls worksheet. Recursive if groups are nested (chained groupby)
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:param worksheet:
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:param x: start position where to write the group (vertical axis, pointing downward)
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:param y: start position where to write the group (horizontal axis, pointing to the right)
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:param groups: list of groups. Each group is a dict containing either records' data
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or sub-groups. A group has the following structure:
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'data': list of records or list of sub-groups
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'isGrouped': True if data contains sub-groups
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'value': title of the group
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'count': number of records in the group
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'aggregateValues': dict container aggregated values of fields {field: aggregatedValue, ...}
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'hideHeader': self explanatory, used when the records are not grouped at all.
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:param columns: list of displayed columns. Each column is a dict with the following keys:
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'field': field name
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'aggregateValue': aggregate for all records
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'string':
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"""
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for group in groups:
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x, y = self._write_group_header(worksheet, x, y, group, columns, group_depth)
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if group['isGrouped']:
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# Recursively write sub-groups
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x, y = self._write_groups(worksheet, x, y, group['data'], columns, group_depth + 1)
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else:
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for record in group['data']:
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x, y = self._write_record(worksheet, x, y, record, columns)
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return x, y
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def _write_worksheet(self, worksheet, data):
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bold = xlwt.easyxf("font: bold on;")
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columns = data['columns']
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groups = data['groups']
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# Write main header
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for y, field in enumerate(columns):
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worksheet.write(0, y, field['string'], bold)
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# Write data
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x, y = 1, 0
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x, y = self._write_groups(worksheet, x, y, groups, columns)
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# Write column aggregates
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for y, field in enumerate(columns):
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worksheet.write(x, y, field.get('aggregateValue', ''), bold)
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@http.route('/web/list/export_xls', type='http', auth="user")
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def export_xls(self, data, token):
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data = json.loads(data)
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title = data.get('title', 'export')
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workbook = xlwt.Workbook()
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worksheet = workbook.add_sheet(title)
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self._write_worksheet(worksheet, data)
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response = request.make_response(None,
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headers=[('Content-Type', 'application/vnd.ms-excel'),
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('Content-Disposition', 'attachment; filename="%s - %s.xls"' % (title, datetime.now()))],
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cookies={'fileToken': token})
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workbook.save(response.stream)
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return response
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