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@@ -296,7 +296,7 @@ class GetTargetAndAssemblyParameters(object):
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target_combine.update(region_dict) if 'city' in item.keys() else None
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self.target_combine_filter_by_subset.append(target_combine)
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else:
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- logger.info("推荐定向:%s 与 账户%s 配置信息里的定向(gender:%s, age_min: %s,age_max: %s, ages_ranges:%s,region:%s )存在冲突" %
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+ logger.info("推荐定向:%s 与 账户 %s 配置信息里的定向(gender:%s, age_min: %s,age_max: %s, ages_ranges:%s,region:%s )存在冲突" %
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(item,
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self.account_id,
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self.advertiser_strategy['gender'],
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@@ -314,6 +314,10 @@ class GetTargetAndAssemblyParameters(object):
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# 1-1 获取素材在该账户下关联的创意个数,过滤掉素材关联创意个数超过200的情况
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df = pd.DataFrame(self.target_combine_filter_by_subset)
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+ # target_combine_filter_by_subset 转化为 dataframe 时 age_min, age_max 会填充为 np.nan,
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+ # 会导致后续拼装的参数发送给java服务报错(jackson.core.JsonParseException: Non-standard token \'NaN\':)
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+ # 需要把 np.nan 替换为 None
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+ df.replace({np.nan: None}, inplace=True)
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# signature in ('03b93728f0d82ea7865c3c7cf632bc1b',),避免这样的sql报错
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if df.signature.nunique() == 1:
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sig_lst = tuple(list(df.signature.unique()) * 2)
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