行为数据推送Demo

引入依赖：

pip install alibabacloud_tea_util 
pip install alibabacloud_opensearch_util
pip install alibabacloud_credentials

行为数据推送示例：

# -*- coding: utf-8 -*-

import time
from typing import Dict, Any

from Tea.exceptions import TeaException
from Tea.request import TeaRequest
from alibabacloud_tea_util import models as util_models

from BaseRequest import Config, Client


class opensearch:
    def __init__(self, config: Config):
        self.Clients = Client(config=config)
        self.runtime = util_models.RuntimeOptions(
            connect_timeout=10000,
            read_timeout=10000,
            autoretry=False,
            ignore_ssl=False,
            max_idle_conns=50,
            max_attempts=3
        )
        self.header = {}

    def behaviorBulk(self, app_name: str, collections_name: str, doc_content: list) -> Dict[str, Any]:
        try:
            response = self.Clients._request(method="POST",
                                             pathname=f'/v3/openapi/app-groups/{app_name}/data-collections/{collections_name}/data-collection-type/BEHAVIOR/actions/bulk',query={},headers = self.header,
                                             body=doc_content, runtime=self.runtime)
            return response
        except Exception as e:
            print(e)

if __name__ == "__main__":

    # 配置统一的请求入口和
    endpoint = "<endpoint>"

    # 支持 protocol 配置 HTTPS/HTTP
    endpoint_protocol = "HTTP"

    # 用户识别信息
    access_key_id = "<access_key_id>"
    access_key_secret = "<access_key_secret>"

    # 支持 type 配置 sts/access_key 鉴权. 其中 type 默认为 access_key 鉴权. 使用 sts 可配置 RAM-STS 鉴权.
    # 备选参数为:  sts 或者 access_key
    auth_type = "sts"

    # 如果使用 RAM-STS 鉴权, 请配置 security_token, 可使用 阿里云 AssumeRole 获取 相关 STS 鉴权结构.
    security_token = "<security_token>"

 # 配置请求使用的通用信息.
    Configs = Config(endpoint=endpoint, access_key_id=access_key_id, access_key_secret=access_key_secret,
                     security_token=security_token, type=auth_type, protocol=endpoint_protocol)

    # 创建 opensearch 实例
    ops = opensearch(Configs)
    app_name = "app_name"
 
  # ---------------  行为日志 ---------------

    # item_id  信息 为 搜索结果返回的主键信息. 特定 为主键 id.
    item_id = "358713"

    # ops_request_misc 为搜索请求返回的 ops_request_misc 信息.
    ops_request_misc = "%7B%22request%5Fid%22%3A%22161777635816780357273903%22%2C%22scm%22%3A%2220140713.130149759..%22%7D"

    # bhv_type 为 行为事件的特征信息, 备选信息如下为类别:
    #       expose(曝光)
    #       cart(加购物车)
    #       collect(收藏)
    #       like(点赞)
    #       comment(评论)
    #       buy(购买)
    #       click(点击/查看)
    bhv_type = "click"

    # request_id 为搜索请求返回的 request_id 信息.
    request_id = "161777635816780357273903"

    # 到达日志服务端的时间，格式：yyyyMMddHHmmss
    reach_time = "20210405111111"

    # 用于唯一标识终端应用上的用户的ID。
    # *一般为登录用户ID。
    # *对于PC端，如果是未登录用户，也可以设置为cookieid
    user_id = "a7a0d37c824b659f36a5b9e3b819fcdd"
    behavior_fields1 = behavior_fields2 = {
        "item_id": item_id,
        "sdk_type": "opensearch_sdk",
        "sdk_version": "<sdk_version>",  # 当前使用的 opensearch sdk 的版本号.(当前pythonsdk版本号：3.2.0)
        "trace_id": "ALIBABA",  # 用于区分调用了哪个服务商的服务
        "trace_info": ops_request_misc,
        "bhv_type": bhv_type,
        "item_type": "item",
        "rn": request_id,
        "biz_id": "<biz_id>",  # 手机或终端应用用于区分业务的一个数值ID，该字段可用来和OpenSearch上的应用或和AIRec上的实例做关联
        "reach_time": reach_time,
        "user_id": user_id,
    }

    behavior_documents = [{"cmd": "add", "fields": behavior_fields1}, {"cmd": "add", "fields": behavior_fields2}]
    res6 = ops.behaviorBulk(app_name=app_name, collections_name=app_name, doc_content=behavior_documents)
    print(res6)