Watson会话日志(按日期)

问题描述

我想知道是否可以使用Watson Python SDK在特定时间段内提取Watson对话日志?还有办法避免在日志末尾添加分页吗?我想提取给定时间段内的所有日志.以下是我当前使用的代码，用于提取特定工作区的日志:

I wanted to know if there is a way to pull Watson conversation logs for a specific time period using Watson Python SDK? Also is there a way to avoid the pagination added at the end of the logs? I want to pull all the logs for a given time period. Below is the code I am currently using which pulls logs for a specific workspace:

import json
import watson_developer_cloud

conversation = watson_developer_cloud.ConversationV1(
    username='xxxxxxxxxx',
    password- 'xxxxxxxx',
    version='2017-05-26'
)

response = conversation.list_logs(
    workspace_id = 'xxxxxxx'
)

js = json.dumps(response,indent=2)

with open('data.txt', 'w') as outfile:
    json.dump(response, outfile)

推荐答案

如您在官方文档，您可以使用filter参数列出日志并使用很多选项.

As you can see on the Official documentation, you can use the filter parameter to list logs and have a lot of options to use.

过滤器:filter/string一个可缓存的参数，将结果限制为与指定过滤器匹配的结果.有关更多信息，请参阅过滤查询参考.

Filter: filter/string A cacheable parameter that limits the results to those matching the specified filter. For more information, see Filter query reference.

response_timestamp<2016-11-01T04:00:00.000Z

因此，您需要替换为response_timestamp:

list_logs(workspace_id, sort=None, filter=paste here, page_limit=None, cursor=None)

• 使用详细了解过滤器参数日志-Watson对话.
• 有关使用Python的日志，请参见官方API参考关于.
• See more about the filter parameter using Logs - Watson Conversation.
• See the Official API Reference about Logs using Python.

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