我昨天阅读了文档并使用 python 进行了一些编码,以通过以下方式获取数据。它工作正常。
import logging as log
import adal
import requests
import json
import datetime
from pprint import pprint
# Details of workspace. Fill in details for your workspace.
resource_group = 'Test'
workspace = 'FirstMyWorkspace'
# Details of query. Modify these to your requirements.
query = "Type=*"
end_time = datetime.datetime.utcnow()
start_time = end_time - datetime.timedelta(hours=24)
num_results = 2 # If not provided, a default of 10 results will be used.
# IDs for authentication. Fill in values for your service principal.
subscription_id = '{subscription_id}'
tenant_id = '{tenant_id}'
application_id = '{application_id}'
application_key = '{application_key}'
# URLs for authentication
authentication_endpoint = 'https://login.microsoftonline.com/'
resource = 'https://management.core.windows.net/'
# Get access token
context = adal.AuthenticationContext('https://login.microsoftonline.com/' + tenant_id)
token_response = context.acquire_token_with_client_credentials('https://management.core.windows.net/', application_id, application_key)
access_token = token_response.get('accessToken')
# Add token to header
headers = {
"Authorization": 'Bearer ' + access_token,
"Content-Type": 'application/json'
}
# URLs for retrieving data
uri_base = 'https://management.azure.com'
uri_api = 'api-version=2015-11-01-preview'
uri_subscription = 'https://management.azure.com/subscriptions/' + subscription_id
uri_resourcegroup = uri_subscription + '/resourcegroups/'+ resource_group
uri_workspace = uri_resourcegroup + '/providers/Microsoft.OperationalInsights/workspaces/' + workspace
uri_search = uri_workspace + '/search'
# Build search parameters from query details
search_params = {
"query": query,
"top": num_results
}
# Build URL and send post request
uri = uri_search + '?' + uri_api
response = requests.post(uri, json=search_params,headers=headers)
# Response of 200 if successful
if response.status_code == 200:
# Parse the response to get the ID and status
data = response.json()
if data.get("__metadata", {}).get("resultType", "") == "error":
log.warn("oms_fetcher;fetch_job;error: " + ''.join('{}={}, '.format(key, val) for key, val in
data.get("error", {}).items()))
else:
print data["value"]
search_id = data["id"].split("/")
id = search_id[len(search_id)-1]
status = data["__metadata"]["Status"]
print status
# If status is pending, then keep checking until complete
while status == "Pending":
# Build URL to get search from ID and send request
uri_search = uri_search + '/' + id
uri = uri_search + '?' + uri_api
response = requests.get(uri, headers=headers)
# Parse the response to get the status
data = response.json()
status = data["__metadata"]["Status"]
print id
else:
# Request failed
print (response.status_code)
response.raise_for_status()
今天我去了我昨天关注的同一个网页,但今天有不同的文档。那么我需要遵循新的文档吗?我也尝试了新文档,但遇到了问题
url = "https://api.loganalytics.io/v1/workspaces/{workspace_id}/query"
headers = {
"X-Api-Key": "{api_key}",
"Content-Type": 'application/json'
}
search_param = {
}
res = requests.post(url=url, json=search_param, headers=headers)
print res.status_code
print res.json()
{u'error': {u'innererror': {u'message': u'给定的 API Key 对请求无效', u'code': u'UnsupportedKeyError'}, u'message': u'未提供有效身份验证', u'code': u'AuthorizationRequiredError'}}
这是文档的链接