数据详情
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@ -772,14 +772,14 @@ async def find_criterion(
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data[i] = int(df[i][0])
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else:
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data[i] = df[i][0]
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if data['work_exp'] == 0:
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data['work_exp'] = '应届生'
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elif data['work_exp'] >= 1 and data['work_exp'] < 3:
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data['work_exp'] = '1-3年'
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elif data['work_exp'] >= 3 and data['work_exp'] < 5:
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data['work_exp'] = '1-3年'
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else:
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data['work_exp'] = '5年以上'
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# if data['work_exp'] == 0:
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# data['work_exp'] = '应届生'
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# elif data['work_exp'] >= 1 and data['work_exp'] < 3:
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# data['work_exp'] = '1-3年'
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# elif data['work_exp'] >= 3 and data['work_exp'] < 5:
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# data['work_exp'] = '1-3年'
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# else:
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# data['work_exp'] = '5年以上'
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if data.get('work_list', []):
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work_list = [json.loads(i) for i in data['work_list']]
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if isinstance(work_list[0], str):
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@ -265,13 +265,15 @@ class InterviewDo:
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for key, value in self.data_in.items():
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if key == 'uid':
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continue
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if value == None:
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continue
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if value == '':
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continue
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if updateStr:
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updateStr += ','
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if isinstance(value, str):
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updateStr += str(key) + ' = ' + "'" + value + "'" + ' '
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continue
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if value == None:
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continue
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updateStr += str(key) + ' = ' + str(value) + ' '
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if 'uid' in self.data_in:
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self.where.update({
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