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# ~*~ coding: utf-8 ~*~
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#
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import json
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import chardet
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import codecs
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import unicodecsv
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from rest_framework.parsers import BaseParser
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from rest_framework.exceptions import ParseError
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from ..utils import get_logger
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logger = get_logger(__file__)
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class JMSCSVParser(BaseParser):
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"""
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Parses CSV file to serializer data
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"""
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media_type = 'text/csv'
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@staticmethod
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def _universal_newlines(stream):
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"""
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保证在`通用换行模式`下打开文件
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"""
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for line in stream.splitlines():
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yield line
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@staticmethod
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def _gen_rows(csv_data, charset='utf-8', **kwargs):
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csv_reader = unicodecsv.reader(csv_data, encoding=charset, **kwargs)
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for row in csv_reader:
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if not any(row): # 空行
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continue
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yield row
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@staticmethod
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def _get_fields_map(serializer):
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fields_map = {}
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fields = serializer.get_fields()
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fields_map.update({v.label: k for k, v in fields.items()})
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fields_map.update({k: k for k, _ in fields.items()})
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return fields_map
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@staticmethod
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def _process_row(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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_row = []
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for col in row:
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# 列表转换
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if isinstance(col, str) and col.find("[") != -1 and col.find("]") != -1:
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# 替换中文格式引号
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col = col.replace("“", '"').replace("”", '"').\
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replace("‘", '"').replace('’', '"').replace("'", '"')
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col = json.loads(col)
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_row.append(col)
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return _row
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@staticmethod
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def _process_row_data(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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_row_data = {}
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for k, v in row_data.items():
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if isinstance(v, list) \
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or isinstance(v, str) and k.strip() and v.strip():
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_row_data[k] = v
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return _row_data
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def parse(self, stream, media_type=None, parser_context=None):
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parser_context = parser_context or {}
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try:
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serializer = parser_context["view"].get_serializer()
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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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try:
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stream_data = stream.read()
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stream_data = stream_data.strip(codecs.BOM_UTF8)
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detect_result = chardet.detect(stream_data)
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encoding = detect_result.get("encoding", "utf-8")
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binary = self._universal_newlines(stream_data)
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rows = self._gen_rows(binary, charset=encoding)
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header = next(rows)
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fields_map = self._get_fields_map(serializer)
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header = [fields_map.get(name, '') for name in header]
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data = []
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for row in rows:
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row = self._process_row(row)
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row_data = dict(zip(header, 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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except Exception as e:
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logger.error(e, exc_info=True)
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raise ParseError('CSV parse error!')
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