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- import uuid
- import datetime
- import tornado
- import json
- import traceback
- import pandas as pd
- import numpy as np
- import pymysql
- import os
- import yaml
- import random
- import requests
- from utils.commonFunc import get_db_engine, is_contains_gender, is_contains_age, is_contains_region
- from utils.BaseClass import NpEncoder
- from config.url import create_campaign_url, create_group_and_creative_url, headers, update_campaign_status_url
- import logging
- from concurrent_log import ConcurrentTimedRotatingFileHandler
- log_formatter = logging.Formatter('%(asctime)s %(levelname)s %(message)s', '%Y/%m/%d %I:%M:%S %p')
- log_handler = ConcurrentTimedRotatingFileHandler("/data/pythonProject/ai_target/logs/ai_target_combine.log", when="midnight", backupCount=100)
- log_handler.setFormatter(log_formatter)
- logger = logging.getLogger('ai_strategy_request_logger')
- logger.addHandler(log_handler)
- logger.setLevel(logging.DEBUG)
- logger.info("ai_target_combine_logger started!")
- print('id of ai_target_combine_logger %s' % id(logger))
- with open('/data/pythonProject/ai_target/config/config.yaml', mode='r', encoding='utf-8') as f:
- config = yaml.load(f.read(), Loader=yaml.FullLoader)
- class AiTargetCombine(tornado.web.RequestHandler):
- def post(self):
- # 解析接收到的参数
- data = self.request.body
- data = str(data, 'utf8')
- data = json.loads(data, encoding='utf8')
- account_id = data['account_id']
- project_id = data['project_id']
- logger.info("账户信息=%s, 当前进程=%s, 当前进程的主进程=%s" % (account_id, os.getpid(), os.getppid()))
- try:
- # 1、创建类实例
- ins = GetTargetAndAssemblyParameters(account_id, project_id)
- # 2、判断target_combine_to_create是否为空,为空则不执行后续的操作
- if not ins.target_combine_to_create:
- logger.info("account_id = %s, message = '没有定向组合: 定向冲突或者素材关联的创意个数达到上限' " % ins.account_id)
- self.write(json.dumps({"account_id": account_id, "message": "没有定向组合: 定向冲突或者素材关联的创意个数达到上限", "code": 1}))
- self.flush()
- else:
- # 2、判断当天是否已经存在包含【优质定向】的广告计划,如果有则获取该计划id,否则需要新建计划
- sql = """select campaign_id, campaign_name from ctop_kuaishou_campaign
- where account_id = %s
- and put_create_time >= curdate()
- and campaign_name like '%s'""" % (ins.account_id, '%%优质定向%%')
- df = pd.read_sql(sql, ins.engine)
- if df.empty:
- ins.add_campaign()
- else:
- ins.campaign_id = df['campaign_id'].values[0]
- # 3、拼装广告组和创意的参数
- ins.assembly_group_and_creative_params()
- # 4、信息写如到智能策略表中
- ins.write_intelligence_strategy_table()
- # 5、
- # 5、发送创建组和创意的请求
- request = requests.post(create_group_and_creative_url,
- headers=headers,
- data=json.dumps(ins.request_data, cls=NpEncoder))
- response_data = json.loads(request.text)
- # 6、接口的返回信息更新到数据库表
- ins.update_intelligence_strategy_table(message=response_data)
- logger.info("account_id = %s, 策略uuid = %s 的请求返回信息:%s" % (ins.account_id, ins.ai_strategy_uuid, response_data))
- self.write(json.dumps({"account_id": account_id, "message": str(response_data), "code": 1}))
- self.flush()
- except:
- logger.error("account_id = %s, traceback is %s" % (account_id, traceback.format_exc()))
- self.write(json.dumps({"account_id": account_id, "message": str(traceback.format_exc()), "code": -1}))
- self.flush()
- class GetTargetAndAssemblyParameters(object):
- def __init__(self, account_id, project_id):
- self.account_id = account_id
- self.project_id = project_id
- self.engine = None
- self.product_engine = None
- self.db_config = None
- self.advertiser_strategy_id = None
- self.advertiser_strategy = {}
- self.ai_strategy_uuid = str(uuid.uuid4())
- self.request_data = {}
- self.campaign_id = None
- self.operation_type = 1 # 新增广告组
- self.target_combine_from_table = []
- self.target_combine_filter_by_subset = []
- self.target_combine_to_create = []
- self.get_database_engine() # 获取数据库信息
- self.get_advertiser_strategy_info() # 获取账户配置信息
- self.get_signature_and_target() # 从素材定向组合表中获取最新的定向组合
- self.filter_target_combine_by_whether_is_subset() # 筛选出为账户配置子集的定向组合
- self.filter_target_combine_by_creative_cnt() # 依据素材在指定账户下关联的创意个数,进行筛选创建个数,防止超限导致的创建失败
- def get_database_engine(self):
- # 数据库连接引擎,依据开发环境/生产环境 进行切换
- if os.getenv('LYY_DEV', 'unknown') == 'dev':
- self.engine = get_db_engine(config['devDB'])
- self.db_config = config['devDB']
- else:
- self.engine = get_db_engine(config['productDB'])
- self.db_config = config['productDB']
- # 有些表需要连接生产数据库,不管当前是开发环境还是测试环境
- self.product_engine = get_db_engine(config['productDB'])
- def get_advertiser_strategy_info(self):
- """
- 获取指定账户下客户的策略信息(不管是开发环境还是生产环境,该表都读取生产数据库)
- 为后续的写入库表,校验一致性做准备
- """
- sql = """
- select *
- from ctop_ai_kuaishou_advertiser_strategy
- where account_id = %d
- limit 1
- """ % self.account_id
- advertiser_strategy_df = pd.read_sql(sql, self.product_engine)
- self.advertiser_strategy_id = int(advertiser_strategy_df['id'].values[0])
- self.advertiser_strategy = advertiser_strategy_df.T.to_dict()[0]
- def add_campaign(self):
- """
- 新增广告计划,如果存在则跳过。
- response_data = {
- "code": 0,
- "data": {
- "account_id": 23212,
- "campaign_id": 30956133,
- "campaign_create_time": "2021-01-13 13:50:16"
- },
- "message": "SUCCESS"}
- """
- # 1、请求创建广告计划的接口
- campaign_name = self.advertiser_strategy['campaign_name']
- campaign_name = campaign_name.replace('{{自定义}}', '')
- campaign_name = campaign_name.replace('{{日期}}', '')
- campaign_name += '_优质定向_'
- campaign_name += str(datetime.datetime.now().date())
- create_campaign_request_data = {'account_id': self.account_id,
- 'campaign_name': campaign_name,
- 'type': self.advertiser_strategy['campaign_type'],
- 'day_budget': self.advertiser_strategy['campaign_day_budget'],
- 'day_budget_schedule': eval(self.advertiser_strategy['campaign_day_budget_schedule'])
- if self.advertiser_strategy['campaign_day_budget_schedule'] else None}
- request = requests.post(url=create_campaign_url,
- headers=headers,
- data=json.dumps(create_campaign_request_data, cls=NpEncoder))
- response_data = json.loads(request.text)
- # 2、对接口返回的结果处理
- campaign_info_to_db = {
- 'campaign_uuid': str(uuid.uuid4()),
- 'account_id': self.account_id,
- 'ai_strategy_uuid': self.ai_strategy_uuid,
- 'campaign_name': campaign_name,
- 'campaign_type': self.advertiser_strategy['campaign_type'],
- 'day_budget': self.advertiser_strategy['campaign_day_budget'],
- 'day_budget_schedule': self.advertiser_strategy['campaign_day_budget_schedule'],
- 'create_time': datetime.datetime.now()
- }
- res = 0
- if response_data['code'] == 0:
- self.campaign_id = response_data['data'].get('campaign_id', None)
- campaign_info_to_db['campaign_id'] = self.campaign_id
- campaign_info_to_db['campaign_create_time'] = response_data['data'].get('campaign_create_time', None)
- campaign_info_to_db['status'] = response_data.get('code', None)
- campaign_info_to_db['message'] = response_data.get('message', None)
- # self.advertiser_strategy['campaign_status'] 如果为暂停,需要创建成功后,调用修改广告计划状态的接口
- # `campaign_status` int(11) DEFAULT '1' COMMENT '计划状态: 1:投放 2:暂停 '
- if self.advertiser_strategy['campaign_status'] == 2:
- update_campaign_status_request = requests.post(url=update_campaign_status_url,
- headers=headers,
- data=json.dumps({'accountId': self.account_id,
- 'putStatus': 2,
- 'userId': '113dee46c7df464da78c07a985e92cd1',
- 'campaignIds': [self.campaign_id]},
- cls=NpEncoder))
- update_campaign_status_response_data = json.loads(update_campaign_status_request.text)
- if update_campaign_status_response_data.get('result') and \
- update_campaign_status_response_data.get('result').get('failCount') == 0:
- logger.info("账户 %s 下的广告计划 %s 暂停成功!" % (self.account_id, self.campaign_id))
- else:
- logger.error("账户 %s 下的广告计划 %s 暂停失败,异常信息: %s!" %
- (self.account_id,
- self.campaign_id,
- str(update_campaign_status_response_data.get('result'))))
- raise Exception("账户 %s 下的广告计划 %s 暂停失败!" % (self.account_id, self.campaign_id))
- else:
- campaign_info_to_db['message'] = response_data['message']
- campaign_info_to_db['status'] = response_data['code']
- res = -1
- raise Exception("账户 %s,新建广告计划失败,详细:%s!" % (self.account_id, str(response_data)))
- # 3、写入计划层级的操作表
- df = pd.DataFrame.from_dict(campaign_info_to_db, orient='index').T
- df.to_sql(name="ctop_ai_kuaishou_campaign_level_operation_record",
- con=self.engine,
- if_exists='append',
- index=False)
- return res
- def get_signature_and_target(self):
- """
- 从 ctop_ai_kuaishou_signature_recommended_target_combine 表中读取素材和对应的定向
- 读取配置文件的条件,筛选出符合条件的定向组合
- """
- sql = """
- select * from ctop_ai_kuaishou_signature_recommended_target_combine where project_id = %s
- and stat_date = (select max(stat_date) from ctop_ai_kuaishou_signature_recommended_target_combine)
- """ % self.project_id
- df = pd.read_sql(sql, self.engine)
- # 计算组合的概率,相对于实际投放概率高出了百分之多少,样本量是否达标(读取配置文件),且p值小于等于0.05
- df['improve_ratio'] = (df['combine_estimate_prob'] - df['actual_prob']) / df['actual_prob']
- # 两种类型的过滤标准不一样,分开进行判断,然后对结果进行合并
- df_1 = df[(df['target_type'] == 'action_ratio') &
- (df['improve_ratio'] >= config['filterTargetCombine']['actionRatio']['improveRatio']) &
- (df['sample_size'] >= config['filterTargetCombine']['actionRatio']['sampleSize']) &
- (df['p_value'] <= 0.05)]
- df_2 = df[(df['target_type'] == 'convert_ratio') &
- (df['improve_ratio'] >= config['filterTargetCombine']['convertRatio']['improveRatio']) &
- (df['sample_size'] >= config['filterTargetCombine']['convertRatio']['sampleSize']) &
- (df['p_value'] <= 0.05)]
- merge_df = pd.concat([df_1, df_2], axis=0)
- # 'age', 'gender', 'city', 'business', 'province', 'client'
- features = [key for key, value in config['bayesDim'].items() if value['isOn']]
- self.target_combine_from_table = merge_df[['id', 'signature'] + features].to_dict(orient='records')
- def write_intelligence_strategy_table(self):
- """
- 拼接好的组创意的参数写入到 ctop_ai_kuaishou_intelligence_strategy 中的 ai_strategy_request_content
- """
- intelligence_strategy_dict = \
- {
- 'ai_strategy_uuid': self.ai_strategy_uuid,
- 'advertiser_strategy_id': self.advertiser_strategy_id,
- 'account_id': self.account_id,
- 'ai_strategy_request_content': str(self.request_data),
- 'ai_strategy_remark': '优质定向组合',
- 'create_time': datetime.datetime.now()
- }
- df = pd.DataFrame.from_dict(intelligence_strategy_dict, orient='index').T
- df.to_sql(name="ctop_ai_kuaishou_intelligence_strategy",
- con=self.engine,
- if_exists='append',
- index=False)
- def filter_target_combine_by_whether_is_subset(self):
- """
- ctop_ai_kuaishou_signature_recommended_target_combine 表中的 city 和 province 都对应 self.advertiser_strategy 的 region [] varchar
- age 对应 ages_range [] varchar
- client 对应 platform_os int
- business_interest 对应 business_interest varchar
- gender 对应 gender int
- """
- gender_bool = True
- age_bool = True
- region_bool = True
- for item in self.target_combine_from_table:
- if 'gender' in item.keys():
- gender_bool, gender_dict = is_contains_gender(item['gender'], self.advertiser_strategy['gender'])
- if 'age' in item.keys():
- age_bool, age_dict = is_contains_age(item['age'],
- self.advertiser_strategy['age_min'],
- self.advertiser_strategy['age_max'],
- self.advertiser_strategy['ages_range'])
- if 'city' in item.keys():
- region_bool, region_dict = is_contains_region(item['city'], self.advertiser_strategy['region'])
- if gender_bool & age_bool & region_bool:
- target_combine = {'signature': item['signature'], 'target_combine_id': item['id']}
- target_combine.update(gender_dict) if 'gender' in item.keys() else None
- target_combine.update(age_dict) if 'age' in item.keys() else None
- target_combine.update(region_dict) if 'city' in item.keys() else None
- self.target_combine_filter_by_subset.append(target_combine)
- else:
- 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" %
- (item,
- self.account_id,
- self.advertiser_strategy['gender'],
- self.advertiser_strategy['age_min'],
- self.advertiser_strategy['age_max'],
- self.advertiser_strategy['ages_range'],
- self.advertiser_strategy['region']))
- def filter_target_combine_by_creative_cnt(self):
- """
- 依据素材已经关联的创意个数,来定素材可以创建的定向组合个数, 并从中随机随着N个
- """
- if not self.target_combine_filter_by_subset:
- return None
- # 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
- df = pd.DataFrame(self.target_combine_filter_by_subset)
- # target_combine_filter_by_subset 转化为 dataframe 时 age_min, age_max 会填充为 np.nan,
- # 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\':)
- # 需要把 np.nan 替换为 None
- df.replace({np.nan: None}, inplace=True)
- # signature in ('03b93728f0d82ea7865c3c7cf632bc1b',),避免这样的sql报错
- if df.signature.nunique() == 1:
- sig_lst = tuple(list(df.signature.unique()) * 2)
- else:
- sig_lst = tuple(list(df.signature.unique()))
- sql = """
- select t1.signature, t2.creative_count
- from
- (select account_id, signature, photo_id from ctop_kuaishou_video_get
- where account_id = %s and signature in %s
- group by account_id, signature) t1
- left join
- ctop_kuaishou_video_relate_creatives t2
- on t1.account_id = t2.account_id and t1.photo_id = t2.photo_id
- """ % (self.account_id, sig_lst)
- creative_cnt_df = pd.read_sql(sql, self.product_engine)
- creative_cnt_df = creative_cnt_df[creative_cnt_df.creative_count < 200]
- # 1-2 计算每个素材还能创建的广告组(定向)个数: (200 - 已关联创意个数) / 15
- creative_cnt_df['target_combine_cnt'] = np.floor((200 - creative_cnt_df['creative_count']) / 15)
- creative_cnt_df = creative_cnt_df[creative_cnt_df.target_combine_cnt >= 1]
- final_target_combine = pd.DataFrame([])
- for sig in creative_cnt_df.signature.unique():
- n = creative_cnt_df[creative_cnt_df.signature == sig].target_combine_cnt.values[0]
- now = datetime.datetime.now()
- # Cannot take a larger sample than population when 'replace=False'
- n = n if n <= len(df[df.signature == sig]) else len(df[df.signature == sig])
- sig_target_df = df[df.signature == sig].sample(int(n), axis=0, random_state=(now.year + now.month + now.day))
- final_target_combine = final_target_combine.append(sig_target_df)
- self.target_combine_to_create = final_target_combine.to_dict(orient='records')
- # 从集合中随机选取N个组合
- combine_cnt = config['filterTargetCombine']['combineCnt']
- random.shuffle(self.target_combine_to_create)
- self.target_combine_to_create = self.target_combine_to_create[:combine_cnt]
- def assembly_group_and_creative_params(self):
- """
- 拼接参数,请求创建接口
- """
- group_params, group_params_to_db = self.get_group_params()
- creative_params, creative_params_to_db = self.get_creative_params()
- self.request_data['group_list'] = []
- group_cnt = 1
- batch_group_params_to_db = []
- batch_creative_params_to_db = []
- for item in self.target_combine_to_create:
- # 使用优质定向更新组层级的参数
- target_combine = item.copy()
- del target_combine['target_combine_id']
- del target_combine['signature']
- group_params.update(target_combine)
- # 写入数据库的字段,list类型需要转化为str
- group_params_to_db.update(target_combine)
- cols = ['ages_range', 'region']
- for col in cols:
- if col in target_combine.keys():
- group_params_to_db[col] = str(group_params_to_db[col])
- group_uuid = str(uuid.uuid4())
- group_name = group_params['unit_name']
- # 获取素材名称, 在广告组命名中进行替换 (同时获取photo_id, 用于拼装创意层级的参数)
- sql = """select photo_id, photo_name, material_type
- from ctop_kuaishou_video_get where account_id = %s and signature = '%s' limit 1""" % \
- (self.account_id, item['signature'])
- signature_df = pd.read_sql(sql, self.product_engine)
- photo_name = signature_df['photo_name'].values[0] if not signature_df.empty else 'unknown'
- photo_id = signature_df['photo_id'].values[0] if not signature_df.empty else None
- material_type = signature_df['material_type'].values[0] if not signature_df.empty else None
- group_name.replace('{{素材名称}}', photo_name)
- group_name = group_name + '_优质定向' + '_' + str(group_cnt)
- # 写入数据表中组信息
- single_group_params_to_db = group_params_to_db.copy()
- single_group_params_to_db['target_combine_id'] = item['target_combine_id']
- single_group_params_to_db['group_uuid'] = group_uuid
- single_group_params_to_db['group_name'] = group_name
- single_group_params_to_db['create_time'] = datetime.datetime.now()
- batch_group_params_to_db.append(single_group_params_to_db)
- # 拼装返回json的组信息
- single_group_params_to_request = group_params.copy()
- single_group_params_to_request['group_uuid'] = group_uuid
- single_group_params_to_request['unit_name'] = group_name
- single_group_params_to_request['creative_list'] = []
- group_cnt += 1
- # 拼装广告组下面的创意信息
- # 一个素材组合为15个一样的创意,因信息流已经下架,不需要提供封面信息
- for creative_cnt in range(15):
- creative_uuid = str(uuid.uuid4())
- creative_name = creative_params_to_db['creative_name'] + '_' + str(creative_cnt + 1)
- single_creative_params_to_db = creative_params_to_db.copy()
- single_creative_params_to_db['creative_uuid'] = creative_uuid
- single_creative_params_to_db['creative_name'] = creative_name
- single_creative_params_to_db['photo_id'] = int(photo_id) if photo_id else None
- single_creative_params_to_db['creative_material_type'] = material_type
- single_creative_params_to_db['create_time'] = datetime.datetime.now()
- batch_creative_params_to_db.append(single_creative_params_to_db)
- single_creative_params_to_request = creative_params.copy()
- single_creative_params_to_request['creative_uuid'] = creative_uuid
- single_creative_params_to_request['creative_name'] = creative_name
- single_creative_params_to_request['photo_id'] = int(photo_id) if photo_id else None
- single_creative_params_to_request['creative_material_type'] = material_type
- # 单个创意信息加入到组里面的 creative_list 中
- single_group_params_to_request['creative_list'].append(single_creative_params_to_request)
- # 组和创意信息添加到最终返回数据 group_list 中
- self.request_data['group_list'].append(single_group_params_to_request)
- # 创意层级信息批量写入数据库
- creative_df = pd.DataFrame(batch_creative_params_to_db)
- creative_df.to_sql(name="ctop_ai_kuaishou_creative_level_operation_record",
- con=self.engine,
- if_exists='append',
- index=False)
- # 组层级信息批量写入数据库
- group_df = pd.DataFrame(batch_group_params_to_db)
- group_df.to_sql(name="ctop_ai_kuaishou_unit_level_operation_record",
- con=self.engine,
- if_exists='append',
- index=False)
- self.request_data['account_id'] = self.account_id
- self.request_data['campaign_id'] = self.campaign_id
- def get_group_params(self):
- # 1、从账户信息表读取基本的配置信息
- group_params = {'unit_name': self.advertiser_strategy.get('group_name'),
- 'put_status': self.advertiser_strategy.get('group_status'),
- 'template_id': self.advertiser_strategy.get('template_id'),
- 'bid_type': self.advertiser_strategy.get('bid_type'),
- 'use_app_market': self.advertiser_strategy.get('use_app_market'),
- 'app_store': self.advertiser_strategy.get('app_store'),
- 'bid': self.advertiser_strategy.get('bid'),
- 'cpa_bid': self.advertiser_strategy.get('cpa_bid'),
- 'smart_bid': self.advertiser_strategy.get('smart_bid'),
- 'ocpx_action_type': self.advertiser_strategy.get('ocpx_action_type'),
- 'deep_conversion_type': self.advertiser_strategy.get('deep_conversion_type'),
- 'roi_ratio': self.advertiser_strategy.get('roi_ratio'),
- 'deep_conversion_bid': self.advertiser_strategy.get('deep_conversion_bid'),
- 'scene_id': self.advertiser_strategy.get('scene_id'),
- 'unit_type': self.advertiser_strategy.get('unit_type'),
- 'begin_time': self.advertiser_strategy.get('begin_time') if self.advertiser_strategy.get('begin_time')
- else str(datetime.datetime.now().date()),
- 'end_time': self.advertiser_strategy.get('end_time'),
- 'schedule_time': self.advertiser_strategy.get('schedule_time'),
- 'day_budget': self.advertiser_strategy.get('unit_day_budget'),
- 'day_budget_schedule': self.advertiser_strategy.get('unit_day_budget_schedule'),
- 'convert_id': self.advertiser_strategy.get('convert_id'),
- 'url_type': self.advertiser_strategy.get('url_type'),
- 'web_uri_type': self.advertiser_strategy.get('web_uri_type'),
- 'url': self.advertiser_strategy.get('url'),
- 'schema_uri': self.advertiser_strategy.get('schema_uri'),
- 'app_id': self.advertiser_strategy.get('app_id'),
- 'show_mode': self.advertiser_strategy.get('show_mode'),
- 'speed': self.advertiser_strategy.get('speed'),
- 'site_type': self.advertiser_strategy.get('site_type'),
- 'gift_data': self.advertiser_strategy.get('gift_data'),
- 'video_landing_page': self.advertiser_strategy.get('video_landing_page'),
- 'auto_target': self.advertiser_strategy.get('auto_target'),
- 'auto_create_photo': self.advertiser_strategy.get('auto_create_photo'),
- # 'item_id': self.advertiser_strategy.get('item_id'),
- # 'merchant_item_put_type': self.advertiser_strategy.get('merchant_item_put_type'),
- # 'fiction_id': self.advertiser_strategy.get('fiction_id'),
- 'smart_cover': self.advertiser_strategy.get('smart_cover'),
- 'asset_mining': self.advertiser_strategy.get('asset_mining'),
- # 'consult_id': self.advertiser_strategy.get('consult_id'),
- # 'adv_card_option': self.advertiser_strategy.get('adv_card_option'),
- # 'adv_card_list': self.advertiser_strategy.get('adv_card_list'),
- # 'card_type': self.advertiser_strategy.get('card_type'),
- # 'merchandise_id': self.advertiser_strategy.get('merchandise_id'),
- # 'merchandise_type': self.advertiser_strategy.get('merchandise_type'),
- # 'intention_target': self.advertiser_strategy.get('intention_target'),
- # 'playable_id': self.advertiser_strategy.get('playable_id'),
- # 'play_button': self.advertiser_strategy.get('play_button'),
- # 'dpa_unit_param': self.advertiser_strategy.get('dpa_unit_param'),
- 'region': self.advertiser_strategy.get('region'),
- 'district_ids': self.advertiser_strategy.get('district_ids'),
- 'user_type': self.advertiser_strategy.get('user_type'),
- 'age_min': self.advertiser_strategy.get('age_min'),
- 'age_max': self.advertiser_strategy.get('age_min'),
- 'ages_range': self.advertiser_strategy.get('ages_range'),
- 'gender': self.advertiser_strategy.get('gender'),
- 'platform_os': self.advertiser_strategy.get('platform_os'),
- 'android_osv': self.advertiser_strategy.get('android_osv'),
- 'ios_osv': self.advertiser_strategy.get('ios_osv'),
- 'network': self.advertiser_strategy.get('network'),
- 'device_brand': self.advertiser_strategy.get('device_brand'),
- 'device_price': self.advertiser_strategy.get('device_price'),
- 'business_interest_type': self.advertiser_strategy.get('business_interest_type'),
- 'business_interest': self.advertiser_strategy.get('business_interest'),
- 'fans_star': self.advertiser_strategy.get('fans_star'),
- 'interest_video': self.advertiser_strategy.get('interest_video'),
- 'app_interest': self.advertiser_strategy.get('app_interest'),
- # 'app_interest_ids': self.advertiser_strategy.get('app_interest_ids'),
- 'app_ids': self.advertiser_strategy.get('app_ids'),
- 'filter_converted_level': self.advertiser_strategy.get('filter_converted_level'),
- 'population': self.advertiser_strategy.get('population'),
- 'exclude_population': self.advertiser_strategy.get('exclude_population'),
- 'paid_audience': self.advertiser_strategy.get('paid_audience'),
- 'splash_ad_switch': self.advertiser_strategy.get('splash_ad_switch'),
- 'is_open': self.advertiser_strategy.get('is_open'),
- 'no_age_break': self.advertiser_strategy.get('no_age_break'),
- 'no_gender_break': self.advertiser_strategy.get('no_gender_break'),
- 'no_area_break': self.advertiser_strategy.get('no_area_break'),
- 'behavior_interest': self.advertiser_strategy.get('behavior_interest')
- }
- group_params['unit_name'] = group_params['unit_name'].replace('{{自定义}}', '')
- # 2、smart_cover 和 asset_mining 需要将0/1 转化为 False/True
- group_params['smart_cover'] = True if group_params.get('smart_cover', 0) == 1 else False
- group_params['asset_mining'] = True if group_params.get('asset_mining', 0) == 1 else False
- # 3、广告组名称,通配符的替换
- # 900299 -{{广告位置}}--{{创意制作方式}}--{{日期}}- (日期、素材名称、应用名称、应用标记、创意制作方式、广告位置)
- # 3-1 获取应用标记和应用名称
- sql = """select app_version, app_name from ctop_kuaishou_app_list where app_id = %s limit 1""" % \
- group_params.get('app_id', -1)
- app_info_df = pd.read_sql(sql, self.engine)
- app_version = app_info_df['app_version'].values[0] if not app_info_df.empty else 'unknown'
- app_name = app_info_df['app_name'].values[0] if not app_info_df.empty else 'unknown'
- # 3-2 素材名称, 在拼装广告组和创意层级函数中获取
- # 3-3 获取创意制作方式
- unit_type = '自定义' if group_params.get('unit_type') == 4 \
- else ('程序化创意' if group_params.get('unit_type') == 5 else '程序化创意2.0')
- # 3-4 获取广告位置
- scene_id_dict = {1: '优选广告位',
- 3: '视频播放页广告-便利贴广告',
- 5: '联盟广告',
- 6: '上下滑大屏广告',
- 7: '信息流广告',
- 10: '联盟场景'}
- scene_id = '+'.join([scene_id_dict[item] for item in eval(group_params.get('scene_id'))])
- unit_name = group_params['unit_name'].replace('{{应用标记}}', app_version). \
- replace('{{应用名称}}', app_name). \
- replace('{{创意制作方式}}', unit_type). \
- replace('{{广告位置}}', scene_id)
- # 3-5 日期, 在拼装广告组和创意层级函数中获取
- now_date = datetime.date.today().strftime('%Y-%m-%d')
- if '日期' in group_params['unit_name']:
- unit_name = unit_name.replace('{{日期}}', now_date)
- else:
- unit_name = unit_name + '_' + now_date
- group_params['unit_name'] = unit_name
- # 4、处理 cpa_bid
- # 因为存在 【单出价请输入单数字,阶梯出价请用/隔开】 如:1900/2000/2100 cpa_bid varchar(255) DEFAULT NULL COMMENT '出价'
- # 处理方式按'/'进行分割,取最后一个值(也就是最大值),并转化为int型
- group_params['cpa_bid'] = int(group_params['cpa_bid'].split('/')[-1]) if '/' in group_params['cpa_bid'] \
- else (int(group_params['cpa_bid'].split('-')[-1]) if '-' in group_params['cpa_bid'] else int(group_params['cpa_bid']))
- # 5、 写入数据库的组参数
- group_params_to_db = group_params.copy()
- # 5-1 需要删除的字段
- drop_cols = ['put_status', 'splash_ad_switch']
- for col in drop_cols:
- if col in group_params_to_db.keys():
- del group_params_to_db[col]
- group_params_to_db['group_name'] = group_params_to_db.pop('unit_name')
- group_params_to_db['ai_strategy_uuid'] = self.ai_strategy_uuid
- group_params_to_db['account_id'] = self.account_id
- group_params_to_db['campaign_id'] = self.campaign_id
- group_params_to_db['operation_type'] = self.operation_type
- group_params_to_db['status'] = 1
- group_params_to_db['message'] = None
- # 6、用于组装发送请求的部分字段,需要转化为list类型
- cols_to_list = ['app_store', 'scene_id', 'region', 'day_budget_schedule', 'ages_range', 'device_brand', 'business_interest',
- 'fans_star', 'interest_video', 'app_interest', 'app_interest_ids', 'app_ids', 'population', 'district_ids',
- 'exclude_population', 'paid_audience']
- for col in cols_to_list:
- if col in group_params.keys():
- group_params[col] = eval(group_params[col]) if group_params[col] else None
- return group_params, group_params_to_db
- def get_creative_params(self):
- # 1、从账户信息表读取基本的配置信息
- creative_params = {'creative_name': self.advertiser_strategy.get('creative_name'),
- 'put_status': self.advertiser_strategy.get('group_status'),
- 'action_bar_text': self.advertiser_strategy.get('action_bar_text'),
- 'description': self.advertiser_strategy.get('description'),
- 'short_slogan': self.advertiser_strategy.get('short_slogan'),
- 'sticker_title': self.advertiser_strategy.get('sticker_title'),
- 'overlay_type': self.advertiser_strategy.get('overlay_type'),
- 'expose_tag': self.advertiser_strategy.get('expose_tag'),
- 'new_expose_tag': self.advertiser_strategy.get('new_expose_tag'),
- 'site_id': self.advertiser_strategy.get('site_id'),
- 'click_track_url': self.advertiser_strategy.get('click_track_url'),
- 'impression_url': self.advertiser_strategy.get('impression_url'),
- 'ad_photo_played_t3s_url': self.advertiser_strategy.get('ad_photo_played_t3s_url'),
- 'actionbar_click_url': self.advertiser_strategy.get('actionbar_click_url'),
- 'creative_category': self.advertiser_strategy.get('creative_category'),
- 'creative_tag': self.advertiser_strategy.get('creative_tag'),
- 'live_creative_type': self.advertiser_strategy.get('live_creative_type')
- }
- # 1、description 可能存在多个值,需要从中随机获取一个
- if creative_params['description'] is not None:
- description_lst = eval(creative_params['description'])
- random.shuffle(description_lst)
- creative_params['description'] = description_lst[0]
- # 2 写入数据库的创意参数
- creative_params_to_db = creative_params.copy()
- drop_cols = ['put_status', 'live_creative_type']
- for col in drop_cols:
- if col in creative_params_to_db:
- del creative_params_to_db[col]
- creative_params_to_db['ai_strategy_uuid'] = self.ai_strategy_uuid
- creative_params_to_db['account_id'] = self.account_id
- creative_params_to_db['campaign_id'] = self.campaign_id
- creative_params_to_db['operation_type'] = self.operation_type
- creative_params_to_db['status'] = 1
- creative_params_to_db['message'] = None
- # 3、用于组装发送请求的部分字段,需要转化为list类型
- cols_to_list = ['creative_tag', 'new_expose_tag']
- for col in cols_to_list:
- if col in creative_params.keys():
- creative_params[col] = eval(creative_params[col]) if creative_params[col] else None
- return creative_params, creative_params_to_db
- def update_intelligence_strategy_table(self, message=None):
- """
- 更新 intelligence_strategy_table
- :return:
- """
- db_con = pymysql.connect(host=self.db_config['host'],
- port=self.db_config['port'],
- user=self.db_config['username'],
- password=self.db_config['password'],
- database=self.db_config['database'],
- charset='utf8')
- cursor = db_con.cursor()
- if message:
- cursor.execute("""UPDATE ctop_ai_kuaishou_intelligence_strategy
- SET message = %s
- WHERE ai_strategy_uuid = %s""", (str(message), self.ai_strategy_uuid))
- db_con.commit()
- db_con.close()
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