3e83d8d7d5
Includes: - Odoo 19 framework (odoo/) - 27 custom EnCoach addons (new_project/custom_addons/) - encoach_core, encoach_api, encoach_lms_api, encoach_adaptive_api - encoach_exam, encoach_taxonomy, encoach_adaptive, encoach_assignment - encoach_ai, encoach_ai_grading, encoach_ai_generation, encoach_ai_media - encoach_courseware, encoach_communication, encoach_subscription - encoach_notification, encoach_approval, encoach_branding - encoach_classroom, encoach_registration, encoach_stats - encoach_faq, encoach_ticket, encoach_training, encoach_resources - encoach_adaptive_ai, encoach_sis - 21 OpenEduCat Enterprise modules (new_project/enterprise-19/) - 14 OpenEduCat Community modules (new_project/openeducat_erp-19.0/) - Configuration: odoo.conf, requirements.txt, scripts - 200+ REST API endpoints with JWT authentication - SRS and test documentation Made-with: Cursor
98 lines
4.1 KiB
Python
98 lines
4.1 KiB
Python
# Part of Odoo. See LICENSE file for full copyright and licensing details.
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import io
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import json
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from collections import deque
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from werkzeug.datastructures import FileStorage
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from werkzeug.exceptions import UnprocessableEntity
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from odoo import http, _
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from odoo.http import content_disposition, request
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from odoo.tools import osutil
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class TableExporter(http.Controller):
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@http.route('/web/pivot/export_xlsx', type='http', auth="user", readonly=True)
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def export_xlsx(self, data, **kw):
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import xlsxwriter # noqa: PLC0415
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jdata = json.load(data) if isinstance(data, FileStorage) else json.loads(data)
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if not jdata:
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raise UnprocessableEntity(_('No data to export'))
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output = io.BytesIO()
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workbook = xlsxwriter.Workbook(output, {'in_memory': True})
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worksheet = workbook.add_worksheet(jdata['title'])
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header_bold = workbook.add_format({'bold': True, 'pattern': 1, 'bg_color': '#AAAAAA'})
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header_plain = workbook.add_format({'pattern': 1, 'bg_color': '#AAAAAA'})
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bold = workbook.add_format({'bold': True})
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measure_count = min(jdata['measure_count'], 100000)
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# Step 1: writing col group headers
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col_group_headers = jdata['col_group_headers']
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# x,y: current coordinates
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# carry: queue containing cell information when a cell has a >= 2 height
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# and the drawing code needs to add empty cells below
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x, y, carry = 1, 0, deque()
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for i, header_row in enumerate(col_group_headers):
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worksheet.write(i, 0, '', header_plain)
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for header in header_row:
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while (carry and carry[0]['x'] == x):
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cell = carry.popleft()
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for j in range(measure_count):
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worksheet.write(y, x+j, '', header_plain)
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if cell['height'] > 1:
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carry.append({'x': x, 'height': cell['height'] - 1})
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x = x + measure_count
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width = min(header['width'], 100000)
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for j in range(width):
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worksheet.write(y, x + j, header['title'] if j == 0 else '', header_plain)
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if header['height'] > 1:
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carry.append({'x': x, 'height': header['height'] - 1})
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x = x + width
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while (carry and carry[0]['x'] == x):
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cell = carry.popleft()
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for j in range(measure_count):
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worksheet.write(y, x+j, '', header_plain)
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if cell['height'] > 1:
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carry.append({'x': x, 'height': cell['height'] - 1})
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x = x + measure_count
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x, y = 1, y + 1
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# Step 2: writing measure headers
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measure_headers = jdata['measure_headers']
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if measure_headers:
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worksheet.write(y, 0, '', header_plain)
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for measure in measure_headers:
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style = header_bold if measure['is_bold'] else header_plain
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worksheet.write(y, x, measure['title'], style)
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x = x + 1
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x, y = 1, y + 1
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# set minimum width of cells to 16 which is around 88px
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worksheet.set_column(0, len(measure_headers), 16)
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# Step 4: writing data
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x = 0
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for row in jdata['rows']:
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worksheet.write(y, x, f"{row['indent'] * ' '}{row['title']}", header_plain)
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for cell in row['values']:
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x = x + 1
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if cell.get('is_bold', False):
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worksheet.write(y, x, cell['value'], bold)
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else:
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worksheet.write(y, x, cell['value'])
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x, y = 0, y + 1
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workbook.close()
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xlsx_data = output.getvalue()
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filename = osutil.clean_filename(_("Pivot %(title)s (%(model_name)s)", title=jdata['title'], model_name=jdata['model']))
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response = request.make_response(xlsx_data,
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headers=[('Content-Type', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'),
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('Content-Disposition', content_disposition(filename + '.xlsx'))],
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)
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return response
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