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- import json
- import os
- from urllib.parse import urlencode
- import pandas as pd
- import requests
- import yaml
- from common_func import get_db_engine, mysql_replace_into, NpEncoder, get_logger
- import datetime
- from config.url import get_material_info_from_ocean_engine_url, get_video_info_from_ocean_engine_url
- import traceback
- from get_script_from_tengxunyun import GetScriptFromTengXunYunServer
- def get_material_info(project_name, period_type):
- material_df = pd.DataFrame() # 初始化返回的结果
- has_more = True # 是否还存在分页数据, 初始化为 True
- limit = 10 # 每页获取10条
- page = 1 # 第几页
- while has_more:
- request_data = {'list_type': 1,
- 'material_type': 3,
- 'order_by': 'click_show_rate',
- 'period_type': period_type,
- 'aggr_app_code': 4,
- 'aggr_category_list': '[]',
- 'video_type': '[]',
- 'keywords': project_name,
- 'landing_type': '[]',
- 'limit': limit,
- 'page': page,
- 'video_duration_type': 5}
- try:
- request_path = get_material_info_from_ocean_engine_url + '?' + urlencode(request_data)
- request = requests.get(request_path)
- result = json.loads(request.text)
- material_page_df = pd.DataFrame(result['data']['materials'])
- material_df = material_df.append(material_page_df)
- if result.get('code') == 0 and result.get('data').get('has_more') is True:
- page += 1
- logger.info("project_name:%s, get_material_info_from_ocean_engine 分页获取第 %s 页" % (project_name, page))
- else:
- has_more = False
- except:
- logger.error("project_name:%s, get_material_info_from_ocean_engine 分页获取时发生异常信息: %s" %
- (project_name, traceback.format_exc()))
- logger.info("project_name:%s, get_material_info_from_ocean_engine 分页获取获取完成,共 %s 个物料信息!" %
- (project_name, len(material_df)))
- # 数据类型的处理,方便入库
- # metrics dict to str
- # title list to str
- # video_type list to str
- # watermarks list to str
- material_df[['metrics', 'title', 'video_type', 'watermarks']] = \
- material_df[['metrics', 'title', 'video_type', 'watermarks']].astype(str)
- material_df.rename(columns={'vid': 'signature'}, inplace=True)
- # 添加项目名称和日期
- material_df['project_name'] = project_name
- material_df['stat_date'] = datetime.datetime.today().strftime('%Y-%m-%d')
- # 写入数据库
- material_df.to_sql(name="ctop_ai_material_info_from_ocean_engine",
- con=write_engine,
- if_exists='append',
- index=False,
- chunksize=chunk_size,
- method=mysql_replace_into)
- return material_df
- def get_video_info(vid, project_name):
- """
- 为了提高数据获取的完整性,每次只请求10条数据
- :param vid:
- :param project_name:
- :return:
- """
- video_df = pd.DataFrame()
- # 每次请求的视频个数
- cnt_per_request = 10
- # 总的视频个数
- total_cnt = len(vid)
- logger.info("project_name:%s, get_video_info_from_ocean_engine,共 %s 个视频需要请求接口获取video_url" % (project_name, total_cnt))
- for i in range(0, total_cnt, cnt_per_request):
- if i + cnt_per_request < total_cnt:
- query_ids = vid[i: i + cnt_per_request]
- logger.info("project_name:%s, get_video_info_from_ocean_engine 分页获取第 %s 个 到 %s 个视频信息" %
- (project_name, i, i + cnt_per_request))
- else:
- query_ids = vid[i:]
- logger.info("project_name:%s, get_video_info_from_ocean_engine 分页获取第 %s 个 到 %s 个视频信息" %
- (project_name, i, total_cnt))
- try:
- request_data = {"query_ids": query_ids, "water_mark": "creative_center"}
- request = requests.post(url=get_video_info_from_ocean_engine_url,
- headers={'Content-Type': 'application/json'},
- data=json.dumps(request_data, cls=NpEncoder)
- )
- response_data = json.loads(request.text)
- if response_data.get('code') == 0 and response_data.get('data'):
- for key, value in response_data['data'].items():
- single_dict = value
- single_dict['signature'] = key
- single_df = pd.DataFrame([single_dict])
- video_df = video_df.append(single_df)
- except:
- logger.error("project_name:%s, get_video_info_from_ocean_engine 分页获取 %s,出现异常信息:%s" %
- (project_name, query_ids, traceback.format_exc()))
- # 数据类型的处理,方便入库
- # play_info list to str
- video_df['play_info'] = video_df['play_info'].astype(str)
- video_df.drop(labels='video_id', axis=1, inplace=True)
- # 添加项目名称和日期
- video_df['project_name'] = project_name
- video_df['stat_date'] = datetime.datetime.today().strftime('%Y-%m-%d')
- # 写入数据库
- video_df.to_sql(name="ctop_ai_video_info_from_ocean_engine",
- con=write_engine,
- if_exists='append',
- index=False,
- chunksize=chunk_size,
- method=mysql_replace_into)
- return video_df
- if __name__ == '__main__':
- # 创建日志对象
- logger = get_logger(log_file_name="/data/pythonProject/video-to-word/logs/get_video_from_ocean_engine.log",
- log_name='get_video_from_ocean_engine_logger')
- logger.info("get_video_from_ocean_engine started! id of logger is: %s" % id(logger))
- # 1 读取配置文件
- with open('config/config.yaml', mode='r', encoding='utf-8') as f:
- config = yaml.load(f.read(), Loader=yaml.FullLoader)
- # 1-1 数据库连接引擎,依据开发环境/生产环境 进行切换
- # 读数据库引擎使用生产数据库,写数据库引擎依据系统环境进行切换(测试数据库/生产数据库)
- # 注意:该项目的读和写 都使用测试数据库
- write_engine = get_db_engine(config['devDB'])
- read_engine = get_db_engine(config['devDB'])
- # 1-2 分批写入数据库的行数
- chunk_size = config['chunkSize']
- # 1-3 读取项目列表
- project_name_lst = config['projectName']
- # 2 分项目获取巨量引擎数据
- for project in project_name_lst:
- try:
- logger.info("****************************** %s 项目开始执行 ******************************" % project)
- # 2-1 获取物料列表并写入数据库
- material_info_df = get_material_info(project, 7)
- # 2-2 根据 signature 获取 url并写入数据库
- vid_lst = material_info_df['signature'].values
- video_info_df = get_video_info(vid_lst, project)
- # 2-3 向腾讯云提交语音转脚本的任务
- task_df = video_info_df[['signature', 'video_url']]
- get_script_ins = GetScriptFromTengXunYunServer(logger, read_engine, task_df, task_ids=None)
- get_script_ins.submit_task()
- if get_script_ins.task_ids:
- get_script_ins.get_result()
- logger.info("****************************** %s 项目执行完成 ******************************" % project)
- except:
- logger.error("project_name: %s, 发生异常信息: %s" % (project, traceback.format_exc()))
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