检查文件上传

quality_control/__manifest__.py

@@ -20,6 +20,7 @@ Quality Control
 """,
     'data': [
         'data/quality_control_data.xml',
+        'wizard/import_complex_model.xml',
         'report/worksheet_custom_reports.xml',
         'report/worksheet_custom_report_templates.xml',
         'views/quality_views.xml',

quality_control/models/quality.py

@@ -151,8 +151,6 @@ class QualityCheck(models.Model):
         新增测量值,如果测量值有5列了，则提示“最多只能有5列测量值”
         '''
         self.ensure_one()
-        if len(self.measure_line_ids) >= 5:
-            raise UserError('最多只能有5列测量值')
         self.env['quality.check.measure.line'].create({
             'check_id': self.id,
             'sequence': len(self.measure_line_ids) + 1,
@@ -578,7 +576,8 @@ class QualityCheckMeasureLine(models.Model):
     _description = '质检测量明细'
     _order = 'sequence, id'
 
-    sequence = fields.Integer('序号', default=10)
+    sequence = fields.Integer('序号')
+
     check_id = fields.Many2one('quality.check', string='质检单', required=True, ondelete='cascade')
     
     # 基本信息

quality_control/security/ir.model.access.csv

@@ -1,3 +1,4 @@
 id,name,model_id:id,group_id:id,perm_read,perm_write,perm_create,perm_unlink
 access_quality_check_wizard,access.quality_check_wizard,model_quality_check_wizard,quality.group_quality_user,1,1,1,0
 access_quality_check_measure_line,quality.check.measure.line,model_quality_check_measure_line,base.group_user,1,1,1,0
+access_quality_check_import_complex_model_wizard,quality.check.import.complex.model.wizard,model_quality_check_import_complex_model_wizard,quality.group_quality_user,1,1,1,0

quality_control/views/quality_views.xml

@@ -271,7 +271,7 @@
                             <field name="material_name"/>
                             <field name="total_qty"/>
                             <field name="check_qty"/>
-                            <field name="report_number"/>
+<!--                             <field name="report_number"/> -->
                             <field name="show_lot_text" invisible="1"/>
                             <field name="move_line_id" invisible="1"/>
                             <field name="product_tracking" invisible="1"/>
@@ -328,6 +328,11 @@
                         <page string="测量" name="measure" attrs="{'invisible': [('is_out_check', '=', False)]}">
                             <div class="o_row">
                             <button name="add_measure_line" type="object" class="btn-primary" string="添加测量值"/>
+                            <button name="%(quality_control.import_complex_model_wizard)d" string="上传"
+                                type="action"
+                                class="btn-primary"
+                                attrs="{'force_show':1}"
+                                context="{'default_model_name': 'quality.check.measure.line'}"/>
                             </div>
                             <br/>
                             <div class="o_row">

quality_control/wizard/__init__.py

@@ -2,3 +2,4 @@
 # Part of Odoo. See LICENSE file for full copyright and licensing details.
 
 from . import quality_check_wizard
+from . import import_complex_model

quality_control/wizard/import_complex_model.py

@@ -0,0 +1,418 @@
+# -*- coding: utf-8 -*-
+import base64
+import logging
+import os
+import traceback
+from datetime import datetime
+from io import BytesIO
+from openpyxl import load_workbook
+import pandas as pd
+import xlrd
+
+from odoo import fields, models, api, Command, _
+# from odoo.exceptions import ValidationError
+from odoo.exceptions import UserError
+from datetime import datetime, timedelta
+
+from odoo.http import request
+
+_logger = logging.getLogger(__name__)
+
+
+class ImportComplexModelWizard(models.TransientModel):
+    _name = 'quality.check.import.complex.model.wizard'
+    file_data = fields.Binary("数据文件")
+    model_name = fields.Char(string='Model Name')
+    field_basis = fields.Char(string='Field Basis')
+
+    def get_model_column_name_labels(self, model):
+        fields_info = model.fields_get()
+        # 提取字段名称和展示名称
+        field_labels = {field_info.get('string'): field_info for field_name, field_info in fields_info.items()}
+
+        return field_labels
+
+    def field_name_mapping(selfcolumn, column, field_data):
+        return {}
+
+    @api.model
+    def page_to_field(self, field_data):
+        return {}
+
+    def count_continuous_none(self, df):
+        # 用于存储间断的连续空值的区间
+        none_intervals = []
+        # if pd.isna(val):
+        # 遍历数据并查找连续的 None
+        start = 0
+        num = 0
+        for index, row in df.iterrows():
+            if pd.isna(row[0]):
+                continue
+            else:
+                # 记录区间
+                if num == 0:
+                    start = index
+                    num = 1
+                else:
+                    end = index
+                    none_intervals.append({'start': start, 'end': index})
+                    start = end
+                # start = None  # 重置
+
+        # 检查最后一个区间
+        if len(df) - start >= 1:
+            none_intervals.append({'start': start, 'end': len(df)})
+
+        return none_intervals
+
+    def find_repeated_ranges(self, data):
+        # 判断内联列表范围，有column列的为内联列表字段
+        if not data:
+            return []
+
+        repeats = []
+        start_index = 0
+        current_value = data[0]
+
+        for i in range(1, len(data)):
+            if data[i] == current_value:
+                continue
+            else:
+                if i - start_index > 1:  # 有重复
+                    repeats.append({'start': start_index, 'end': i, 'column': data[i - 1]})
+                    # repeats.append((current_value, start_index, i - 1))
+                current_value = data[i]
+                start_index = i
+
+        # 检查最后一段
+        if len(data) - start_index > 1:
+            repeats.append({'start': start_index, 'end': i, 'column': data[i - 1]})
+            # repeats.append((current_value, start_index, len(data) - 1))
+
+        return repeats
+
+    def import_data(self):
+        """导入Excel数据"""
+        if not self.file_data:
+            raise UserError(_('请先上传Excel文件'))
+
+        # 解码文件数据
+        file_content = base64.b64decode(self.file_data)
+
+        try:
+            # 使用xlrd读取Excel文件
+            workbook = xlrd.open_workbook(file_contents=file_content)
+            sheet = workbook.sheet_by_index(0)
+
+            # 检查表头是否符合预期（忽略星号）
+            expected_headers = ['产品名称', '图号', '检测项目', '测量值1', '测量值2', '测量值3', '测量值4', '测量值5', '判定', '备注']
+            actual_headers = sheet.row_values(0)
+
+            # 处理合并单元格的情况
+            # 获取所有合并单元格
+            merged_cells = []
+            for crange in sheet.merged_cells:
+                rlo, rhi, clo, chi = crange
+                if rlo == 0:  # 只关注第一行（表头）的合并单元格
+                    merged_cells.append((clo, chi))
+
+            # 清理表头（移除星号和处理空值）
+            actual_headers_clean = []
+            for i, header in enumerate(actual_headers):
+                # 检查当前列是否在合并单元格范围内但不是合并单元格的起始列
+                is_merged_not_first = any(clo < i < chi for clo, chi in merged_cells)
+
+                if is_merged_not_first:
+                    # 如果是合并单元格的非起始列，跳过
+                    continue
+
+                # 处理表头文本
+                if isinstance(header, str):
+                    header = header.replace('*', '').strip()
+
+                if header:  # 只添加非空表头
+                    actual_headers_clean.append(header)
+
+            # 检查表头数量
+            if len(actual_headers_clean) < len(expected_headers):
+                raise UserError(_('表头列数不足，请使用正确的模板文件'))
+
+            # 检查表头顺序（忽略星号）
+            for i, header in enumerate(expected_headers):
+                if i >= len(actual_headers_clean) or header != actual_headers_clean[i]:
+                    actual_header = actual_headers_clean[i] if i < len(actual_headers_clean) else "缺失"
+                    raise UserError(_('表头顺序不正确，第%s列应为"%s"，但实际为"%s"') %
+                                    (i + 1, header, actual_header))
+
+            # 获取当前活动的quality.check记录
+            active_id = self.env.context.get('active_id')
+            quality_check = self.env['quality.check'].browse(active_id)
+
+            if not quality_check:
+                raise UserError(_('未找到相关的质检记录'))
+
+            # 记录是否有有效数据被导入
+            valid_data_imported = False
+
+            # 从第二行开始读取数据（跳过表头）
+            for row_index in range(1, sheet.nrows):
+                row = sheet.row_values(row_index)
+
+                # 检查行是否有数据
+                if not any(row):
+                    continue
+
+                # 创建quality.check.measure.line记录
+                measure_line_vals = {
+                    'check_id': quality_check.id,
+                    'sequence': len(quality_check.measure_line_ids) + 1,
+                    'product_name': str(row[0]) if row[0] else '',  # 产品名称列
+                    'drawing_no': str(row[1]) if row[1] else '',  # 图号列
+                    'measure_item': row[2] or '',  # 检测项目列
+                    'measure_value1': str(row[4]) if row[4] else '',  # 测量值1
+                    'measure_value2': str(row[5]) if row[5] else '',  # 测量值2
+                    'measure_value3': str(row[6]) if len(row) > 6 and row[6] else '',  # 测量值3
+                    'measure_value4': str(row[7]) if len(row) > 7 and row[7] else '',  # 测量值4
+                    'measure_value5': str(row[8]) if len(row) > 8 and row[8] else '',  # 测量值5
+                    'measure_result': 'NG' if row[9] == 'NG' else 'OK',  # 判定列
+                    'remark': row[10] if len(row) > 10 and row[10] else '',  # 备注列
+                }
+
+                self.env['quality.check.measure.line'].create(measure_line_vals)
+                valid_data_imported = True
+
+            # 检查是否有有效数据被导入
+            if not valid_data_imported:
+                raise UserError(_('表格中没有有效数据行可导入，请检查表格内容'))
+
+            # 返回关闭弹窗的动作
+            return {
+                'type': 'ir.actions.act_window_close'
+            }
+
+        except Exception as e:
+            _logger.error("导入Excel数据时出错: %s", str(e))
+            _logger.error(traceback.format_exc())
+            raise UserError(_('导入失败: %s') % str(e))
+
+    def process_first_line(self, df_columns, column_labels, field_data):
+        columns = []
+        last_column_name = None
+        for index, column in enumerate(df_columns):
+            if not column_labels.get(column):
+                if 'Unnamed' in column:
+                    columns.append(last_column_name)
+                else:
+                    field_name_map = self.page_to_field(field_data)
+                    field_name = field_name_map.get(column)
+                    if field_name:
+                        columns.append(field_name)
+                        last_column_name = field_name
+                    else:
+                        columns.append(column)
+                        last_column_name = column
+            else:
+                columns.append(column)
+                last_column_name = column
+        return columns
+
+    def process_inline_list_column(self, columns, first_row, repeat_list):
+        for index, repeat_map in enumerate(repeat_list):
+            start = repeat_map.get('start')
+            end = int(repeat_map.get('end'))
+            if len(repeat_list) - 1 == index:
+                end = end + 1
+            for i in range(start, end):
+                field_name = columns[i]
+                embedded_fields = first_row[i]
+                if pd.isna(embedded_fields):
+                    columns[i] = field_name
+                else:
+                    columns[i] = field_name + '?' + embedded_fields
+
+    def process_data_list(self, model, data_list, column_labels, sheet):
+        try:
+            for index, data in enumerate(data_list):
+                # 转换每行数据到模型data = {dict: 11} {'刀具物料': '刀片', '刀尖特征': '刀尖倒角', '刀片形状': '五边形', '刀片物料参数': [{'刀片物料参数?内接圆直径IC/D(mm)': 23, '刀片物料参数?刀尖圆弧半径RE(mm)': 2, '刀片物料参数?刀片牙型': '石油管螺纹刀片', '刀片物料参数?切削刃长(mm)': 3, '刀片物料参数?厚度(mm)': 12, '刀片物料参数?后角(mm)': 4, '刀片物料参数?安装孔直径D1(mm)': 2, '刀片物料参数?有无断屑槽': '无', '刀片物料参数?物…视图
+                self.import_model_record(model, data, column_labels, sheet)
+        except Exception as e:
+            traceback_error = traceback.format_exc()
+            logging.error('批量导入失败sheet %s' % sheet)
+            logging.error('批量导入失败 : %s' % traceback_error)
+            raise UserError(e)
+
+    @api.model
+    def process_model_record_data(self, model, data, column_labels, sheet):
+        pass
+
+    def import_model_record(self, model, data, column_labels, sheet):
+        self.process_model_record_data(model, data, column_labels, sheet)
+        model_data = self.convert_column_name(data, column_labels)
+        logging.info('批量导入模型{}  数据: {}'.format(model, model_data))
+        new_model = model.create(model_data)
+        self.model_subsequent_processing(new_model, data)
+
+    @api.model
+    def model_subsequent_processing(self, model, data):
+        pass
+
+    def convert_column_name(self, data, column_labels):
+        tmp_map = {}
+        for key, value in data.items():
+            if not column_labels.get(key):
+                continue
+            if key == "执行标准":
+                print('fqwioiqwfo ', value, column_labels)
+            field_info = column_labels.get(key)
+            tmp_map[field_info.get('name')] = self.process_field_data(value, field_info)
+        return tmp_map
+
+    def process_field_data(self, value, field_info):
+        relation_field_types = ['many2one', 'one2many', 'many2many']
+        field_type = field_info.get('type')
+        if field_type not in relation_field_types:
+            return value
+        if field_type == 'Boolean':
+            if value == '是' or value == '有':
+                return True
+            else:
+                return False
+        if field_type == 'many2one':
+            relation_info = self.env[field_info.get('relation')].sudo().search([('name', '=', value)], limit=1)
+            if relation_info:
+                return int(relation_info)
+
+        if isinstance(value, list):
+            return self.process_basic_data_list(value, field_info)
+        else:
+            relation_info = self.env[field_info.get('relation')].sudo().search([('name', '=', value)], limit=1)
+            if relation_info:
+                return [Command.link(int(relation_info))]
+
+    def process_basic_data_list(self, value, field_info):
+        if self.is_basic_data_list(value):
+            return [
+                Command.link(
+                    int(self.env[field_info.get('relation')].sudo().search([('name', '=', element)], limit=1)))
+                for element in value
+            ]
+        else:
+            association_column_labels = self.get_model_column_name_labels(
+                self.env[field_info.get('relation')].sudo())
+            data_list = [
+                {column_name.split('?')[1]: column_value
+                 for column_name, column_value in association_column_data.items()
+                 if
+                 len(column_name.split('?')) == 2 and association_column_labels.get(column_name.split('?')[1])}
+                for association_column_data in value
+            ]
+            data_list = [self.convert_column_name(element, association_column_labels) for element in data_list]
+            return [
+                Command.create(
+                    column_map
+                ) for column_map in data_list
+            ]
+
+    def get_remaining_ranges(self, ranges, full_list_length):
+        # 创建一个集合用于存储被覆盖的索引
+        covered_indices = set()
+
+        # 遍历范围集合，标记覆盖的索引
+        for r in ranges:
+            start = r['start']
+            end = r['end']
+            # 将该范围内的索引加入集合
+            covered_indices.update(range(start, end + 1))
+
+        # 计算未覆盖的范围
+        remaining_ranges = []
+        start = None
+
+        for i in range(full_list_length):
+            if i not in covered_indices:
+                if start is None:
+                    start = i  # 开始新的未覆盖范围
+            else:
+                if start is not None:
+                    # 记录当前未覆盖范围
+                    remaining_ranges.append({'start': start, 'end': i - 1})
+                    start = None  # 重置
+
+        # 处理最后一个范围
+        if start is not None:
+            remaining_ranges.append({'start': start, 'end': full_list_length - 1})
+
+        return remaining_ranges
+
+    def is_basic_data_list(self, lst):
+        basic_types = (int, float, str, bool)
+        lst_len = len(lst)
+        if lst_len < 1:
+            return False
+        if isinstance(lst[0], basic_types):
+            return True
+        return False
+
+    def index_retrieve_data(self, df, range_map, i, data_map):
+        for remaining_map in range_map:
+            relation_column_data_map = {}
+            for j in range(remaining_map.get('start'), int(remaining_map.get('end')) + 1):
+                value = df.iat[i, j]
+                if pd.isna(value):
+                    continue
+                if remaining_map.get('column'):
+                    relation_column_data_map.update({df.columns[j]: value})
+                else:
+                    if not data_map.get(df.columns[j]):
+                        data_map.update({df.columns[j]: value})
+                    elif isinstance(data_map.get(df.columns[j]), list):
+                        data_map.get(df.columns[j]).append(value)
+                    else:
+                        lst = [data_map.get(df.columns[j]), value]
+                        data_map.update({df.columns[j]: lst})
+            if relation_column_data_map and len(relation_column_data_map) > 0:
+                data_map.setdefault(remaining_map.get('column'), []).append(relation_column_data_map)
+
+    def parse_excel_data_matrix(self, df, repeat_list):
+        row_interval_list = self.count_continuous_none(df)
+        remaining_ranges = self.get_remaining_ranges(repeat_list, len(df.columns))
+        data_list = []
+        for row_interval_map in row_interval_list:
+            data_map = {}
+            for index in range(row_interval_map.get('start'), int(row_interval_map.get('end'))):
+                if index == 0:
+                    self.index_retrieve_data(df, remaining_ranges, index, data_map)
+                else:
+                    self.index_retrieve_data(df, remaining_ranges, index, data_map)
+                    self.index_retrieve_data(df, repeat_list, index, data_map)
+            if len(data_map) > 0:
+                data_list.append(data_map)
+        return data_list
+
+    def saadqw(self):
+
+        excel_template = self.env['excel.template'].sudo().search([('model_id.model', '=', self.model_name)], limit=1)
+        file_content = base64.b64decode(excel_template.file_data)
+        return {
+            'type': 'ir.actions.act_url',
+            'url': 'data:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet;base64,{file_content}',
+            'target': 'self',
+            'download': excel_template.file_name,
+        }
+        # return request.make_response(
+        #     file_content,
+        #     headers=[
+        #         ('Content-Disposition', f'attachment; filename="{excel_template.file_name}"'),
+        #         ('Content-Type', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'),
+        #     ]
+        # )
+
+    def download_excel_template(self):
+        excel_url = self.env['ir.config_parameter'].sudo().get_param('web.base.url') + '/quality_control/static/src/binary/出厂检验报告上传模版.xlsx'
+        value = dict(
+            type='ir.actions.act_url',
+            target='self',
+            url=excel_url,
+        )
+        return value

quality_control/wizard/import_complex_model.xml

@@ -0,0 +1,33 @@
+<?xml version="1.0" encoding="utf-8" ?>
+<odoo>
+    <record id="quality_check_import_complex_model_wizard_form" model="ir.ui.view">
+            <field name="name">请导入数据文件</field>
+            <field name="model">quality.check.import.complex.model.wizard</field>
+            <field name="arch" type="xml">
+                 <form>
+                     <group>
+                        <field name="file_data"/>
+                     </group>
+                     <footer>
+                         <button string="确认导入" name="import_data" type="object" class="btn-primary"/>
+                         <button string="取消" class="btn-primary" special="cancel"/>
+                         <button string="模板文件下载" name="download_excel_template" type="object" class="btn-primary"/>
+                     </footer>
+                 </form>
+            </field>
+    </record>
+    <record id="import_complex_model_wizard" model="ir.actions.act_window">
+        <field name="name">导入模型数据</field>
+        <field name="type">ir.actions.act_window</field>
+<!--        <field name="res_model">up.select.wizard</field>-->
+        <field name="res_model">quality.check.import.complex.model.wizard</field>
+        <field name="view_mode">form</field>
+        <field name="view_id" ref="quality_check_import_complex_model_wizard_form"/>
+        <field name="target">new</field>
+<!--        <field name="context"></field>-->
+    </record>
+
+
+
+
+</odoo>