Claro AI python client

API for data ingestion

project:

• API version: 1.0.0
• Package version: 0.0.b0

Requirements.

Python 3.7+

Installation & Usage

pip install

pip install claroai

Then import the package:

import claroai

Getting Started

import claroai

from pprint import pprint

from claroai.rest import ApiException


configuration = claroai.Configuration(username="test", password="test")


with claroai.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    conversation_api_instance = claroai.ConversationApi(api_client)

    conversation_data_schema = claroai.ConversationData(
        [  # List[claroai.ConversationSchema] or claroai.ConversationSchema
            claroai.ConversationSchema(
                conversation_id="1",
                conversation_created_at="2021-01-01T00:00:00Z",
                user_id="1",
                messages=[
                    {
                        "id": "Thiyagu",
                        "role": "user",
                        "body": "What time does the team arrive?",
                        "created_at": "2020-02-20T20:19:34Z",
                    }
                ],
            ),
            claroai.ConversationSchema(
                conversation_id="2",
                conversation_created_at="2021-01-01T00:00:00Z",
                user_id="1",
                messages=[
                    {
                        "id": "Thiyagu 2",
                        "role": "user",
                        "body": "What time does the team arrive?",
                        "created_at": "2020-02-20T20:19:34Z",
                    }
                ],
            ),
        ]
    )

    interaction_api_instance = claroai.InteractionApi(api_client)

    interaction_data_schema = claroai.InteractionData(
        claroai.InteractionSchema(  # claroai.InteractionSchema or List[claroai.InteractionSchema]
            conversation_id="1",
            interaction_id="1",
            user_id="1",
            content="What time does the team arrive?",
            created_at="2020-02-20T20:19:34Z",
            interacted_at="2020-02-20T20:19:34Z",
        )
    )
    try:
        # Log a batch of conversations to BigQuery
        conversation_api_response = conversation_api_instance.ingest_conversation(
            conversation_data_schema
        )

        print("The response of ConversationApi->ingest_conversations:\n")
        pprint(conversation_api_response)

        # Log a batch of interactions to BigQuery
        interaction_api_response = interaction_api_instance.ingest_interaction(
            interaction_data_schema
        )
        print("The response of ConversationApi->ingest_interactions:\n")
        pprint(interaction_api_response)

    except ApiException as e:
        print("Exception when ingesting data: %s\n" % e)