Integration with Linear centralizes project management and real-time task tracking, strengthening collaboration across the team. For instance, SQL and Python can be leveraged to automatically aggregate issues and sprint statuses, while MDX dashboards provide intuitive insights into priorities and progress. Moreover, consolidating related communication and resource management data fosters efficiency throughout the development process, enabling faster and more accurate decision-making. With Morph, these data-driven workflows become seamless, driving increased productivity for the entire organization.
Once the integration is created, you can retrieve an AccessToken using the integration name from get_auth_token. With this token, you can proceed with data processing using the API.
import pandas as pd
import morph
from morph import MorphGlobalContext
from morph_lib.api import get_auth_token
@morph.funcdefget_salesforce_opportunities(context: MorphGlobalContext)-> pd.DataFrame: access_token = get_auth_token("salesforce-connection-name")# ↓↓↓ call API with access_token ↓↓↓