cluedin 0.2.1

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CluedIn

cluedin is a Python client for CluedIn API. It can help you with the following:

• getting JWT access tokens to CluedIn
• calling CluedIn REST API
• calling CluedIn GraphQL API

The use is pretty simple. First, install it from PyPi:

pip install cluedin

Next, you will need to obtain an access token:

import cluedin

context = {
    "protocol": "http", # if you skip this parameter, it will fall back to `https`
    "domain": "cluedin.local",
    "organization": "foobar",
    "user": "[e-mail]",
    "password": "Foobar23!"
}

cluedin.load_token_into_context(context)

print(context['access_token'])

Run a GraphQL query:

query = """
    query searchEntities($cursor: PagingCursor, $query: String, $pageSize: Int) {
      search(query: $query, sort: DATE, cursor: $cursor, pageSize: $pageSize) {
        totalResults
        cursor
        entries {
          id
          name
          entityType
        }
      }
    }
"""

variables = {
    "query": "entityType:/Infrastructure/User",
    "pageSize": 1
}

response = cluedin.gql.gql(context, query, variables)

Get paged results:

import numpy as np
import pandas as pd

query = """
    query searchEntities($cursor: PagingCursor, $query: String, $pageSize: Int) {
      search(query: $query, sort: DATE, cursor: $cursor, pageSize: $pageSize) {
        totalResults
        cursor
        entries {
          id
          name
          entityType
        }
      }
    }
"""

variables = {
    "query": "*",
    "pageSize": 10000
}

entries = np.array([x for x in cluedin.gql.entries(context, query, variables)])

df = pd.DataFrame(entries.tolist(), columns=list(entries[0].keys()))

To be continued...