"""
Example For Get Lake View API by using request in python
written by yeony kim
"""
import requests
API_KEY = "YOUR_API_TOKEN"
LAKE_ID = "YOUR_LAKE_ID"
URL = f"https://api.machlake.com/v1/lakes/{LAKE_ID}"
# CASE - GET LAKE view
headers = {
'"Content-Type'": '"application/json'",
'"x-api-key'": API_KEY
}
response
= requests.get(URL, headers=headers, verify=False)
print(response.content.decode('utf-8')) # {"data":{"access_control_list":[{"cidr":"0.0.0.0/0","name":"default"}],"lake_id":"YOUR_LAKE_ID","lake_info":{"create_date":"2021-10-14 01:20:34","lake_name":"sample_lake","lake_plan":"basic","lake_type":"Normal","region":"ap-northeast-2","timezone":"Asia/Seoul","update_date":"0"},"lake_status":{"count_of_tag":0,"count_of_value":0,"query_call":0,"state":"running","storage":7456575488,"traffic":1990097},"plan_limit":{"default_tag_count":10000,"limit_append_tag":1000,# ------------------------------------------------------------------------------------------------- #
# CASE - GET LAKE List
response = requests.get(URL, headers=headers, verify=False)
print(response.content.decode("utf-8"))
# Return Format
# {
# "success":true,
# "reason":"get lake info success",
# "data":{
# "lake_id":"xbcd0001",
# "lake_info":{
# "lake_name":"sample_lake",
# "lake_plan":"basic",
# "lake_type":"N",
# "region":"aws1.kor",
# "timezone":"America/Los_Angeles",
# "create_time":"2021-09-30 10:30:05",
# "update_time":"2021-10-01 14:59:12"
# },
# "lake_status":{
# "count_of_tag":128,
# "count_of_value":123456,
# "query_call":0,
# "traffic":4743829,
# "storage":3032870912,
# "state":"running"
# },
# "plan_limit":{
# "max_tag":1000,
# "max_query":10000,
# "max_disk":32212254720,
# "max_concurrent":100000,
# "limit_select_tag":1000,
# "limit_select_value":100,
# "limit_append_value":100,
# "limit_selectappend_tag":1000,"limit_select_value":100,"max_concurrent":100000,"max_network":10737418240,"max_query":10000,"max_storage":21474836480,"max_tag_count":100000},"tag_schema":[{"col_length":40,"col_name":"name","col_type":"varchar"}],"value_schema":[{"col_length":0,
# "default_tag_count":10000
# },
# "tag_schema":[
# {
# "col_name":"name",
# "col_type":"varchar",
# "col_length":40
# }
# ],
# "value_schema":[
# {
# "col_name":"time",
# "col_type":"datetime"},{"col_length":0,"
# },
# {
# "col_name":"value",
# "col_type":"double"
# }
# ]},"status":"success"}
# }
# }
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