piscada-foresight 0.2.0

Library for Piscada Foresight; Access knowledge-graph and timeseries data.

Piscada Foresight

Access knowledge-graph and timeseries data.

Overview

This library provides access to the knowledge-graph and timeseries data in the Foresight platform. It implements a Transport using HTTPX to be used with the GQL GraphQL client. It also provides convenience functions:

• data module: Read timeseries values as Pandas DataFrames or Series
• graph module: Query the knowledge-graph

Installation

pip install piscada-foresight

You will need access to a Piscada Foresight instance. The library uses the OAuth2 Authorization Code Flow with Proof Key for Code Exchange (PKCE) to act on behalf of your user. After an initial interactive login, the library persists the session state in $HOME/.foresight-lib-py_state and will use that to authenticate non-interactive the next time.

Usage

from datetime import datetime, timedelta, timezone

from gql import Client

from piscada_foresight.data import get_value, get_values
from piscada_foresight.http import ForesightHTTPXTransport

# Create a transport with authentication and a GraphQL client:

transport = ForesightHTTPXTransport("foresight.piscada.cloud")
fs_client = Client(transport=transport, fetch_schema_from_transport=False)

# Retrieve timeseries values for a specific entity:

get_values(
    fs_client,
    "ENTITY_ID",
    datetime.now(tz=timezone.utc) - timedelta(hours=8),
)

Contributing

Contributions are welcome! You can contact us at [e-mail].

Support

If you have any questions, issues, or suggestions, please contact us at [e-mail].

Copyright

© Piscada AS 2024