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Jira Data Source

Guide to configuring Jira as a data source in LlamaCloud, including UI, API, client setup, and multiple authentication methods.

Load data from Jira

We can load data by using three different types of authentication methods:

Jira

Jira

Jira

from llama_cloud.types.data_source_create_params import (
CloudJiraDataSource,
)
data_source = client.data_sources.create(
name="my-data-source",
component=CloudJiraDataSource(
api_token='<api_token>', # Access token in this case
cloud_id='<cloud_id>',
authentication_mechanism='oauth2',
query='<query>',
),
source_type="JIRA",
project_id="my-project-id",
)
from llama_cloud.types.data_source_create_params import (
CloudJiraDataSource,
)
data_source = client.data_sources.create(
name="my-data-source",
component=CloudJiraDataSource(
api_token='<api_token>', # Personal Access Token (PAT) in this case
server_url='<server_url>',
authentication_mechanism='pat',
query='<query>',
),
source_type="JIRA",
project_id="my-project-id",
)
from llama_cloud.types.data_source_create_params import (
CloudJiraDataSource,
)
data_source = client.data_sources.create(
name="my-data-source",
component=CloudJiraDataSource(
email='<email>',
api_token='<api_token>',
server_url='<server_url>',
authentication_mechanism='basic',
query='<query>',
),
source_type="JIRA",
project_id="my-project-id",
)
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