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import abc
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import json
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import codecs
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from rest_framework import serializers
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from django.utils.translation import ugettext_lazy as _
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from rest_framework.parsers import BaseParser
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from rest_framework import status
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from rest_framework.exceptions import ParseError, APIException
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from common.utils import get_logger
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logger = get_logger(__file__)
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class FileContentOverflowedError(APIException):
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status_code = status.HTTP_400_BAD_REQUEST
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default_code = 'file_content_overflowed'
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default_detail = _('The file content overflowed (The maximum length `{}` bytes)')
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class BaseFileParser(BaseParser):
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FILE_CONTENT_MAX_LENGTH = 1024 * 1024 * 10
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serializer_cls = None
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serializer_fields = None
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def check_content_length(self, meta):
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content_length = int(meta.get('CONTENT_LENGTH', meta.get('HTTP_CONTENT_LENGTH', 0)))
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if content_length > self.FILE_CONTENT_MAX_LENGTH:
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msg = FileContentOverflowedError.default_detail.format(self.FILE_CONTENT_MAX_LENGTH)
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logger.error(msg)
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raise FileContentOverflowedError(msg)
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@staticmethod
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def get_stream_data(stream):
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stream_data = stream.read()
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stream_data = stream_data.strip(codecs.BOM_UTF8)
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return stream_data
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@abc.abstractmethod
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def generate_rows(self, stream_data):
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raise NotImplemented
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def get_column_titles(self, rows):
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return next(rows)
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def convert_to_field_names(self, column_titles):
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fields_map = {}
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fields = self.serializer_fields
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for k, v in fields.items():
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if v.read_only:
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continue
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fields_map.update({
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v.label: k,
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k: k
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})
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field_names = [
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fields_map.get(column_title.strip('*'), '')
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for column_title in column_titles
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]
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return field_names
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@staticmethod
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def _replace_chinese_quote(s):
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if not isinstance(s, str):
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return s
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trans_table = str.maketrans({
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'“': '"',
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'”': '"',
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'‘': '"',
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'’': '"',
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'\'': '"'
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})
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return s.translate(trans_table)
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@classmethod
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def process_row(cls, row):
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"""
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构建json数据前的行处理
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"""
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new_row = []
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for col in row:
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# 转换中文引号
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col = cls._replace_chinese_quote(col)
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# 列表/字典转换
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if isinstance(col, str) and (
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(col.startswith('[') and col.endswith(']'))
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or
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(col.startswith("{") and col.endswith("}"))
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):
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col = json.loads(col)
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new_row.append(col)
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return new_row
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def process_row_data(self, row_data):
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"""
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构建json数据后的行数据处理
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"""
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new_row_data = {}
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serializer_fields = self.serializer_fields
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for k, v in row_data.items():
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if type(v) in [list, dict, int, bool] or (isinstance(v, str) and k.strip() and v.strip()):
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# 处理类似disk_info为字符串的'{}'的问题
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if not isinstance(v, str) and isinstance(serializer_fields[k], serializers.CharField):
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v = str(v)
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# 处理 BooleanField 的问题, 导出是 'True', 'False'
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if isinstance(v, str) and v.strip().lower() == 'true':
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v = True
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elif isinstance(v, str) and v.strip().lower() == 'false':
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v = False
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new_row_data[k] = v
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return new_row_data
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def generate_data(self, fields_name, rows):
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data = []
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for row in rows:
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# 空行不处理
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if not any(row):
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continue
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row = self.process_row(row)
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row_data = dict(zip(fields_name, row))
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row_data = self.process_row_data(row_data)
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data.append(row_data)
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return data
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def parse(self, stream, media_type=None, parser_context=None):
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assert parser_context is not None, '`parser_context` should not be `None`'
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view = parser_context['view']
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request = view.request
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try:
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meta = request.META
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self.serializer_cls = view.get_serializer_class()
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self.serializer_fields = self.serializer_cls().fields
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except Exception as e:
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logger.debug(e, exc_info=True)
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raise ParseError('The resource does not support imports!')
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self.check_content_length(meta)
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try:
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stream_data = self.get_stream_data(stream)
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rows = self.generate_rows(stream_data)
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column_titles = self.get_column_titles(rows)
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field_names = self.convert_to_field_names(column_titles)
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# 给 `common.mixins.api.RenderToJsonMixin` 提供，暂时只能耦合
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column_title_field_pairs = list(zip(column_titles, field_names))
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if not hasattr(request, 'jms_context'):
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request.jms_context = {}
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request.jms_context['column_title_field_pairs'] = column_title_field_pairs
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data = self.generate_data(field_names, rows)
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return data
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except Exception as e:
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logger.error(e, exc_info=True)
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raise ParseError(_('Parse file error: {}').format(e))
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