commonFunc.py 6.4 KB

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  1. from sqlalchemy import create_engine
  2. from urllib import parse
  3. import pandas as pd
  4. import yaml
  5. def update_dict(x, y):
  6. # 用字典y,来更新x
  7. # key 存在则更新,不存在则新增
  8. x.update(y)
  9. return x
  10. def get_db_engine(db_info):
  11. db_con_str = 'mysql+pymysql://%s:%s@%s:%d/%s' % \
  12. (db_info['username'],
  13. parse.quote_plus(db_info['password']),
  14. db_info['host'],
  15. db_info['port'],
  16. db_info['database'])
  17. engine = create_engine(db_con_str, connect_args={'charset': 'utf8'})
  18. return engine
  19. def is_contains_region(val1, val2):
  20. """
  21. level1
  22. region long[] 可选 地域 传值为[]表示不限;传递上一级ID时,childrenID可以不传;不允许同时传parentID和childrenID;
  23. 仅计划的campaign_type为5时,支持设置三级地域(例:山西-大同-左云,左云是三级地域)
  24. :param val1: 推荐的城市等级组合,如 "一线城市|新一线城市|二线城市|三线城市" , "不限"
  25. :param val2: 从账户配置信息表里读取的地区信息, 如 '[]', None, '[14,15,21,22,23,31,32]'
  26. :return:
  27. """
  28. # 如果val1为空,表示该字段没有参与定向组合运算,就直接取客户投放策略里面的值
  29. if val1 is None:
  30. return True, {'region': val2}
  31. sql = """
  32. select t1.city_name, t2.level, t2.region_id, t2.parent from ctop_kuaishou_city_level t1
  33. left join ctop_kuaishou_region_list_parent t2
  34. on t1.city_name = t2.name
  35. where t1.city_level in %s
  36. """ % (tuple(val1.split('|')),)
  37. with open('config/config.yaml', mode='r', encoding='utf-8') as f:
  38. config = yaml.load(f.read(), Loader=yaml.FullLoader)
  39. city_df = pd.read_sql(sql, get_db_engine(config['productDB']))
  40. if not val2 or val2 == '不限' or val2 == '[]':
  41. return True, {'region': list(city_df['region_id'].values)}
  42. else:
  43. if val1 == '不限':
  44. return False, -1
  45. else:
  46. val = []
  47. # level1
  48. if set(city_df[city_df.level == 1].region_id.values).issubset(set(eval(val2))):
  49. val.extend(city_df[city_df.level == 1].region_id.values)
  50. else:
  51. return False, -1
  52. # level2
  53. # 元素的父级是否存在于 val2,如果存在则为包含于的关系
  54. # 元素本身是否存在于 val2 ,如果存在则为包含于的关系
  55. # 以上都不满足,val1 不包含于 val2
  56. for item in city_df[city_df.level == 2].region_id.values:
  57. parent = city_df[city_df.region_id == item].parent.values[0]
  58. if parent in eval(val2):
  59. val.append(item)
  60. elif item in eval(val2):
  61. val.append(item)
  62. else:
  63. return False, -1
  64. # level3
  65. for item in city_df[city_df.level == 3].region_id.values:
  66. parent = city_df[city_df.region_id == item].parent.values[0]
  67. if parent in eval(val2):
  68. val.append(item)
  69. elif item in eval(val2):
  70. val.append(item)
  71. else:
  72. return False, -1
  73. return True, {'region': val}
  74. def is_contains_gender(val1, val2):
  75. """
  76. :param val1: ctop_ai_kuaishou_signature_recommended_target_combine 中的 gender 字段: '男'、'女'、'不限'、None
  77. :param val2: ctop_ai_kuaishou_advertiser_strategy 中的 gender 字段: 1:女性, 2:男性,0表示不限
  78. :return: val1 是否为 val2的子集,以及传递给快手后台的值
  79. """
  80. is_contains = False
  81. val = None
  82. if val1 == '男' and val2 in (2, 0):
  83. is_contains = True
  84. val = 2
  85. if val1 == '女' and val2 in (1, 0):
  86. is_contains = True
  87. val = 1
  88. if val1 == '不限' and val2 == 0:
  89. is_contains = True
  90. val = val2
  91. # 如果val1为空,表示该字段没有参与定向组合运算,就直接取客户投放策略里面的值
  92. if val1 is None:
  93. is_contains = True
  94. val = val2
  95. return is_contains, {'gender': val}
  96. def is_contains_platform_os(val1, val2):
  97. """
  98. :param val1: ctop_ai_kuaishou_signature_recommended_target_combine 中的 client 字段: '男'、'女'、'不限'、None
  99. :param val2:
  100. :return:
  101. """
  102. pass
  103. def is_contains_age(val1, val2_min, val2_max, val2_range):
  104. """
  105. :param val1: 推荐的年龄等级组合,如 "31-40岁|41-49岁|50+岁" , "不限"
  106. age struct 可选 自定义年龄段 不传值表示不限,传值具体见下方表格;与ages_range不能同时传
  107. min int 必填 年龄最小限制 年龄区间最小为18岁
  108. max int 必填 年龄最大限制 年龄区间最大为55岁,且年龄最大限制须大于等于年龄最小限制
  109. :param val2_min: age_min
  110. :param val2_max: age_max
  111. :param val2_range: ctop_ai_kuaishou_advertiser_strategy 中的 ages_range [] varchar
  112. 与age不能同时传;【18:表示18-23岁】;【24:表示24-30岁】;【31:表示31-40岁】;【41:表示41-49岁】;【50:表示50-100岁】
  113. :return:
  114. """
  115. # 如果val1为空,表示该字段没有参与定向组合运算,就直接取客户投放策略里面的值
  116. if val1 is None:
  117. return True, {'age_min': val2_min, 'age_max': val2_max, 'ages_range': val2_range}
  118. age_dict = {'18-23岁': 18, '24-30岁': 24, '31-40岁': 31, '41-49岁': 41, '50+岁': 50, '50-100岁': 50}
  119. if (not val2_min) and (not val2_max) and (not val2_range or val2_range == '不限'):
  120. return True, {'ages_range': val1}
  121. else:
  122. if val1 == '不限':
  123. return False, -1
  124. else:
  125. age1 = [age_dict[item] for item in val1.split('|')]
  126. if (val2_min is None and val2_max is None) and val2_range:
  127. if set(age1).issubset(set(eval(val2_range))):
  128. return True, {'ages_range': age1}
  129. else:
  130. return False, -1
  131. if (val2_min and val2_max) and (not val2_range):
  132. if age1[0] >= val2_min and age1[-1] <= val2_max:
  133. return True, {'age_min': age1[0], 'age_max': age1[-1]}
  134. else:
  135. return False, -1
  136. def is_contains_business_interest(val1, val2):
  137. pass