iqvia-e360 0.9.5

E360 Clients Wrapper for Python

E360 Clients Wrapper

E360™ Clients Wrapper for Python

Introduction

iqvia_e360 is a Python library allowing for IQVIA E360™ users to connect to E360 Workspaces, download datasets, retrieve and create assets.

Features

• Authentication using OIDC (internal network only) and Api Gateway (internal and external network)
• Handles the creation of E360 clients
• Provides convenient functions for the following use-cases:
  • List ADT reports
  • Download an ADT report
  • Upload an ADT
  • List workspaces, folders and assets
  • Create workspaces, folders and assets
  • Upload a document to workspaces
  • Move and rename a workspace asset
  • Create an E360 visualisation from a Plotly figure

API Key

To get started you will need to get an API token from your E360™ Manage Account page. You may download a settings file, which will contains the API key and the API Gateway information needed to connect. See documentation for more details how to use the settings file.

If this option is not available on your profile, please request for it to be enabled by the E360™ support team.

Quick Start

The API credentials can be stored in a settings file and reused between uses, or passed directly to at creation time.

A settings file can be provided using the create_from_settings classmethod:

from iqvia_e360 import E360Context
context = E360Context.create_from_settings("<path-to-settings-file>")

Connecting using Api Gateway

If you are using Api Gateway, create a file (default file name: e360.ini), and include the following configuration:

[e360]
api_gateway_url = https://api-gateway-url.com
api_gateway_key = my-key
verify_ssl = yes

Alternatively, the configuration can be passed directly to the helper class methods as seen below:

from iqvia_e360 import E360Context
e360_context = E360Context.create_with_gateway("<my-apikey>")  # Optionally can pass gateway_url and verify_ssl

Connecting from internal network

If you are using OIDC, it is recommended to use a settings file. This is an example OIDC settings file:

[e360]
verify_ssl = yes
service_directory_url = https://e360-sd-service.dev.com
oidc_client_id =client-id
oidc_client_secret =client-secret
oidc_endpoint_url =https://e360-oidc-endpoint.dev.com
use_oidc_mode = yes
oidc_user_id = user-id

---

Documentation

class iqvia_e360.E360Context(**kwargs)

The main class for retrieving E360™ microservice clients, for interacting with E360 Workspace assets.

To facilitate initializing class instances, use of the class methods below is highly recommended.

classmethod E360Context.create_from_settings(settings_path: pathlib.Path|str) -> E360Context

Create an E360Context instance from a settings file.

The settings file can be created with the following content:

[e360]
api_gateway_url = https://api-gateway-url.com
api_gateway_key = my-key
verify_ssl = yes

Example for creating an authenticated instance of E360Context:

from pathlib import Path
from iqvia_e360 import E360Context

settings_path = Path('/path/to/e360.ini')
context = E360Context.create_from_settings(settings_path)

method .get_adt_reports(**filters) -> List[AdtReportAssetModel]

Retrieves a list of ADT Report assets the user can access through workspaces.

Returns a list of AdtReportAssetModel instances.

The keyword filters represents an unpacked a mapping with the following values:

• metadata_key (Optional): A metadata key to filter by; must be provided together with metadata_value
• metadata_value (Optional): A metadata value to filter by
• embed (Optional): A asset embed value to filter by - parent, metadata or datasetInfo
• fields (Optional): A list of fields to filter by
• sort (Optional): A sort field value to filter by (defaults to -created)

Example:

context.get_adt_reports(metadata_key='mykey', metadata_value='myvalue')

method .get_adt_report_by_id(id: str) -> AdtReportAssetModel

Returns an instance of AdtReportAssetModel by an id of the analytic dataset report.

method .get_adt_reports_by_name(name: str) -> List[AdtReportAssetModel]

Returns a list of AdtReportAssetModel instances filtered by name in the asset.

method .get_workspace_containers(name: str = None, include_folders: bool = False) -> List[ContainerAssetModel]

Returns a list of ContainerAssetModel instances optionally filtered by name and if it should include folders.

Args:

• name (Optional): The name of the container/folder.
• include_folders (Optional): A boolean indicating if folders should be retrieved as well as workspaces.

method .move_workspace_asset(asset: AssetModel|str, target_container: ContainerAssetModel|str, new_name: str = None, hidden: bool = False) -> AssetModel

Change location of a workspace asset. Also allows to optionally rename, and to make an asset visible or hidden. Returns a moved AssetModel instance.

Args:

• asset: The id of the asset to move, or an instance of iqvia_360.AssetModel
• target_container: The id of the container the asset is being moved to, or an instance of iqvia_360.ContainerAssetModel
• new_name (Optional): The new name of the asset.
• hidden (Optional): A boolean indicating if the asset should not be visible in workspaces.

method .create_workspace_container(target_container: ContainerAssetModel|str, name: str, description: str = None) -> ContainerAssetModel

Create a new workspace container, returns ContainerAssetModel.

Args:

• target_container: The id or a ContainerAssetModel instance of the parent of the new container
• name: The name of the new container
• description (Optional): A description of this container

method .download_adt_report(asset: AdtReportAssetModel|str, location: pathlib.Path|str = None) -> pathlib.Path|None

Download the requested analytic dataset report to the local environment. The format of the report is pre-determined at the time of generation from its definition.

Args:

• asset: The workspace asset instance for the required report, or the asset id
• location (Optional): The directory where the report should be downloaded; defaults to current working directory

method .download_adt_report_by_id(report_id: str, location: pathlib.Path | str, content_type: str) -> pathlib.Path | None

Download the requested analytic dataset report to the local environment. The format of the report is pre-determined at the time of generation from its definition. Returns a Path object pointing to the downloaded report, or None if the download failed.

Args:

• report_id: The id of the analytic dataset report to download.
• location: The directory where the report should be downloaded.
• content_type: They content type of the download request. Needs to be one of text/csv, application/vnd.apache.parquet or application/zip

method .create_workspace_asset(asset: AssetModel) -> AssetModel

Given an instance of AssetModel, create it on workspaces. Returns the instance of the asset.

method .upload_document_file(target_container: ContainerModel|str, file_path: pathlib.Path|str, name: str, description: str = "") -> AssetModel|None

Upload a local document file into E360 workspaces. Returns an AssetModel for the newly created asset, or None if creation failed

Args:

• target_container: The id of the container the asset is created in, or an instance of iqvia_360.ContainerAssetModel
• file_path: The path to the document to upload name: The asset name for the uploaded document
• description (Optional): An asset description for the uploaded document

method .upload_adt_file(target_container: ContainerModel|str, file_path: pathlib.Path|str, name: str, granularity: Granularity, format_: AnalyticDatasetFormat, dataset_release_id: str = None) -> AnalyticDatasetModel

Upload a local document file into E360 workspaces. Returns an instance of AnalyticDatasetModel for the newly created report.

Args:

• target_container: The id of the container the ADT asset is created in, or an instance of iqvia_360.ContainerAssetModel
• file_path: The path to report that will be uploaded
• name: The asset name for the uploaded report
• granularity: The granularity of the data. Values can be selected from adt_clients.models.Granularity - please look at the specific adt_clients package version to get the list of supported values.
• format_: The format of the data uploaded. Values can be selected from adt_clients.models.AnalyticDatasetFormat - please look at the specific adt_clients package version to get the list of supported values.
• dataset_release_id (Optional): The dataset_release_id that should be associated with this data.

method .create_plotly_visualization(vis_payload: dict, target_container: ContainerModel|str, name: str, description: str = "", from_plotly: bool = True) -> AssetModel

Provided a plotly figure object, create an E360 visualisation. Returns an AssetModel for the newly created asset.

Args:

• vis_payload: A plotly figure object.
• target_container: The id of the container the visualisation asset is created in, or an instance of ContainerAssetModel
• name: The asset name for the uploaded visualisation
• description (Optional): An asset description for the uploaded visualisation
• from_plotly (Optional): Flag to convert from a plotly payload to a VRS payload structure

Example: create a simple Plotly object, and create a visualisation in the first container:

import plotly.graph_objects as go
from iqvia_e360 import E360Context

context = E360Context.create_from_settings(...)
containers = context.get_workspace_containers("Personal Workspace")

fig = go.Figure(go.Scatter(x=[1, 2, 3], y=[1, 2, 3]))
context.create_plotly_visualization(fig, containers[0], "My Scatter Plot")

method .create_plotly_visualization_from_object(visualization_obj: BaseVisualisation, target_container: ContainerModel|str, name: str, description: str = "") -> AssetModel

Create a visualisation using e360_charting library, create an E360 visualisation. Returns an AssetModel for the newly created asset.

Args:

• visualization_obj: A visualisation created using e360_charting lib.
• target_container: The id of the container the visualisation asset is created in, or an instance of ContainerAssetModel
• name: The asset name for the uploaded visualisation
• description (Optional): An asset description for the uploaded visualisation

Example: create a simple visualisation, and create a visualisation in the first container:

from e360_charting import PieVisualisation
from iqvia_e360 import E360Context

context = E360Context.create_from_settings(...)
containers = context.get_workspace_containers("Personal Workspace")

vis = PieVisualisation(
    report_title='My Pie Chart',
    labels=['a', 'b', 'c'],
    values=[33, 66, 1],
)
context.create_plotly_visualization_from_object(vis, containers[0], "My Scatter Plot")

Models

Models help keep E360 Assets organised and encapsulate their desired features.

class AssetModel(BaseModel)

A model from workspace_clients.AssetModel, which is commonly used to store metadata to assets in the workspaces.

class ClientStoreAssetModel(AssetModel)

Base class model, from which all other model classes inherit from.

method .delete(purge: bool = False) -> bool

Deletes the asset from the Workspaces. Set purge to True to delete any child assets.

class ContainerAssetModel(ClientStoreAssetModel)

Model class used to represent a Workspace container asset metadata; this can be a workspace or a folder.

method .upload_adt_file(file_path: pathlib.Path|str, name: str, granularity: Granularity, format_: AnalyticDatasetFormat, dataset_release_id: str = None) -> AnalyticDatasetModel

Uploads a tabular file as an ADT report asset file into container. Returns an instance of AnalyticDatasetModel for the newly created report.

Args:

• file_path: The path to report that will be uploaded
• name: The asset name for the uploaded report
• granularity: The granularity of the data. Values can be selected from adt_clients.models.Granularity - please look at the specific adt_clients package version to get the list of supported values.
• format_: The format of the data uploaded. Values can be selected from adt_clients.models.AnalyticDatasetFormat - please look at the specific adt_clients package version to get the list of supported values.
• dataset_release_id (Optional): The dataset_release_id that should be associated with this data.

Example:

container = ContainerAssetModel(...)
my_adt = container.upload_adt_file('my_file.csv', 'My File', 'csv', 'patient')

method .create_child_container(name: str, description: str = "") -> ContainerAssetModel

Creates a child container with mandatory name and an optional description as strings. On success returns an object instance of class ContainerAssetModel.

method .upload_document(file_path: pathlib.Path|str, name: str, description: str = "") -> AssetModel

Uploads a file document to the Container location. Must specify the file_path and name with optional description as strings. On success returns an object instance of class AssetModel.

class FileAssetModel(ClientStoreAssetModel)

Model class used to represent a File asset metadata.

class AdtDefinitionAssetModel(ClientStoreAssetModel)

Model class used to represent ADT definition asset metadata.

class AdtReportAssetModel(ClientStoreAssetModel)

Model class used to represent ADT report asset metadata.

method .download(location: pathlib.Path|str = None) -> pathlib.Path

Downloads the ADT report to the location path specified (optional).

Support

If you are having issues with using this library, please contact our E360 support team.