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续约待办历史记录迁移

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panda
2026-01-21 09:17:09 +08:00
parent d28d4c5c97
commit 50b4a92f96
3 changed files with 13620 additions and 5205 deletions
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back_ground_module/revisit_renew_services_90_120_180.py
+30 -9
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@@ -326,16 +326,29 @@ class RenewServicesRevisit:
# 将最佳值合并回原数据集
data_NGV = data_NGV.merge(best_values, on='id_own_group', how='left')
condition = (data_NGV['is_main_org'] == 1) & (data_NGV['org_status'] == '过期') # 步骤2: 过滤条件
# 修复：处理 is_main_org 可能是字符串类型的情况
if data_NGV['is_main_org'].dtype == 'object':
is_main_org_numeric = pd.to_numeric(data_NGV['is_main_org'], errors='coerce')
condition = (is_main_org_numeric == 1) & (data_NGV['org_status'] == '过期') # 步骤2: 过滤条件
else:
condition = (data_NGV['is_main_org'] == 1) & (data_NGV['org_status'] == '过期') # 步骤2: 过滤条件
ngvv2 = data_NGV[condition]
# ngvv2.to_excel(r"C:\Users\Administrator.DESKTOP-7IC2USJ\Desktop\NGVV2.xlsx")
data_NGV_V2 = data_NGV.copy() # 步骤3: 检查id_own_group是否存在于ngvv2中
data_NGV_V2['条件'] = ((data_NGV_V2['org_type'] == "一般") & (data_NGV_V2['org_status'] == '留存') &
(data_NGV_V2['area_manager'] != '殷昊') & (
data_NGV_V2['area_manager'] != '孙玉蕾') & (
data_NGV_V2['is_main_org'] != 1))
# 修复：处理 is_main_org 可能是字符串类型的情况
if data_NGV_V2['is_main_org'].dtype == 'object':
is_main_org_numeric_v2 = pd.to_numeric(data_NGV_V2['is_main_org'], errors='coerce')
data_NGV_V2['条件'] = ((data_NGV_V2['org_type'] == "一般") & (data_NGV_V2['org_status'] == '留存') &
(data_NGV_V2['area_manager'] != '殷昊') & (
data_NGV_V2['area_manager'] != '孙玉蕾') & (
is_main_org_numeric_v2 != 1))
else:
data_NGV_V2['条件'] = ((data_NGV_V2['org_type'] == "一般") & (data_NGV_V2['org_status'] == '留存') &
(data_NGV_V2['area_manager'] != '殷昊') & (
data_NGV_V2['area_manager'] != '孙玉蕾') & (
data_NGV_V2['is_main_org'] != 1))
data_NGV_V2 = data_NGV_V2.loc[data_NGV_V2["条件"]]
# 步骤4: 过滤存在的记录
data_NGV_V2['exists_in_ngvv2'] = data_NGV_V2['id_own_group'].isin(ngvv2['id_own_group'])
@@ -350,10 +363,18 @@ class RenewServicesRevisit:
result = filtered_data.drop_duplicates(subset='id_own_group', keep='first')
data_NGV['条件'] = (data_NGV['org_type'] == "一般") & (data_NGV['org_status'] == '留存') & (
data_NGV['area_manager'] != '殷昊') & (
data_NGV['area_manager'] != '孙玉蕾') & (
data_NGV['is_main_org'] == 1)
# 修复：处理 is_main_org 可能是字符串类型的情况
if data_NGV['is_main_org'].dtype == 'object':
is_main_org_numeric_main = pd.to_numeric(data_NGV['is_main_org'], errors='coerce')
data_NGV['条件'] = (data_NGV['org_type'] == "一般") & (data_NGV['org_status'] == '留存') & (
data_NGV['area_manager'] != '殷昊') & (
data_NGV['area_manager'] != '孙玉蕾') & (
is_main_org_numeric_main == 1)
else:
data_NGV['条件'] = (data_NGV['org_type'] == "一般") & (data_NGV['org_status'] == '留存') & (
data_NGV['area_manager'] != '殷昊') & (
data_NGV['area_manager'] != '孙玉蕾') & (
data_NGV['is_main_org'] == 1)
data_NGV = data_NGV.loc[data_NGV["条件"]]
data_NGV = pd.concat([data_NGV, result], axis=0)