Skip to main content

Universal Screening client library for Python

Project description

FactSet

Universal Screening client library for Python

API Version PyPi Apache-2 license

Through the Universal Screening API, you can access the power of FactSet's Universal Screening Application. Calculate and return the results of your saved Universal Screens.

This Python package is automatically generated by the OpenAPI Generator project:

  • API version: 2.0.2
  • SDK version: 1.3.0
  • Build package: org.openapitools.codegen.languages.PythonClientCodegen

For more information, please visit https://developer.factset.com/contact

Requirements

  • Python >= 3.7

Installation

Poetry

poetry add fds.sdk.utils fds.sdk.UniversalScreening==1.3.0

pip

pip install fds.sdk.utils fds.sdk.UniversalScreening==1.3.0

Usage

  1. Generate authentication credentials.
  2. Setup Python environment.
    1. Install and activate python 3.7+. If you're using pyenv:

      pyenv install 3.9.7
      pyenv shell 3.9.7
      
    2. (optional) Install poetry.

  3. Install dependencies.
  4. Run the following:

[!IMPORTANT] The parameter variables defined below are just examples and may potentially contain non valid values. Please replace them with valid values.

Example Code

from fds.sdk.utils.authentication import ConfidentialClient

import fds.sdk.UniversalScreening
from fds.sdk.UniversalScreening.api import job_management_api
from fds.sdk.UniversalScreening.models import *
from dateutil.parser import parse as dateutil_parser
from pprint import pprint

# See configuration.py for a list of all supported configuration parameters.

# Examples for each supported authentication method are below,
# choose one that satisfies your use case.

# (Preferred) OAuth 2.0: FactSetOAuth2
# See https://github.com/FactSet/enterprise-sdk#oauth-20
# for information on how to create the app-config.json file
#
# The confidential client instance should be reused in production environments.
# See https://github.com/FactSet/enterprise-sdk-utils-python#authentication
# for more information on using the ConfidentialClient class
configuration = fds.sdk.UniversalScreening.Configuration(
    fds_oauth_client=ConfidentialClient('/path/to/app-config.json')
)

# Basic authentication: FactSetApiKey
# See https://github.com/FactSet/enterprise-sdk#api-key
# for information how to create an API key
# configuration = fds.sdk.UniversalScreening.Configuration(
#     username='USERNAME-SERIAL',
#     password='API-KEY'
# )

# Enter a context with an instance of the API client
with fds.sdk.UniversalScreening.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = job_management_api.JobManagementApi(api_client)
    id = "123e4567-e89b-12d3-a456-426655440000" # str | Unique identifier for a job. \"Job\" refers to a screen calculation or archival.

    try:
        # example passing only required values which don't have defaults set
        api_instance.delete_active_job(id)

    except fds.sdk.UniversalScreening.ApiException as e:
        print("Exception when calling JobManagementApi->delete_active_job: %s\n" % e)

    # # Get response, http status code and response headers
    # try:
    #     api_response, http_status_code, response_headers = api_instance.delete_active_job_with_http_info(id)

    # except fds.sdk.UniversalScreening.ApiException as e:
    #     print("Exception when calling JobManagementApi->delete_active_job: %s\n" % e)

    # # Get response asynchronous
    # try:
    #     async_result = api_instance.delete_active_job_async(id)
    # except fds.sdk.UniversalScreening.ApiException as e:
    #     print("Exception when calling JobManagementApi->delete_active_job: %s\n" % e)

    # # Get response, http status code and response headers asynchronous
    # try:
    #     async_result = api_instance.delete_active_job_with_http_info_async(id)
    # except fds.sdk.UniversalScreening.ApiException as e:
    #     print("Exception when calling JobManagementApi->delete_active_job: %s\n" % e)

Using Pandas

To convert an API response to a Pandas DataFrame, it is necessary to transform it first to a dictionary.

import pandas as pd

response_dict = api_response.to_dict()['data']

simple_json_response = pd.DataFrame(response_dict)
nested_json_response = pd.json_normalize(response_dict)

Debugging

The SDK uses the standard library logging module.

Setting debug to True on an instance of the Configuration class sets the log-level of related packages to DEBUG and enables additional logging in Pythons HTTP Client.

Note: This prints out sensitive information (e.g. the full request and response). Use with care.

import logging
import fds.sdk.UniversalScreening

logging.basicConfig(level=logging.DEBUG)

configuration = fds.sdk.UniversalScreening.Configuration(...)
configuration.debug = True

Configure a Proxy

You can pass proxy settings to the Configuration class:

  • proxy: The URL of the proxy to use.
  • proxy_headers: a dictionary to pass additional headers to the proxy (e.g. Proxy-Authorization).
import fds.sdk.UniversalScreening

configuration = fds.sdk.UniversalScreening.Configuration(
    # ...
    proxy="http://secret:password@localhost:5050",
    proxy_headers={
        "Custom-Proxy-Header": "Custom-Proxy-Header-Value"
    }
)

Custom SSL Certificate

TLS/SSL certificate verification can be configured with the following Configuration parameters:

  • ssl_ca_cert: a path to the certificate to use for verification in PEM format.
  • verify_ssl: setting this to False disables the verification of certificates. Disabling the verification is not recommended, but it might be useful during local development or testing.
import fds.sdk.UniversalScreening

configuration = fds.sdk.UniversalScreening.Configuration(
    # ...
    ssl_ca_cert='/path/to/ca.pem'
)

Request Retries

In case the request retry behaviour should be customized, it is possible to pass a urllib3.Retry object to the retry property of the Configuration.

from urllib3 import Retry
import fds.sdk.UniversalScreening

configuration = fds.sdk.UniversalScreening.Configuration(
    # ...
)

configuration.retries = Retry(total=3, status_forcelist=[500, 502, 503, 504])

Documentation for API Endpoints

All URIs are relative to https://api.factset.com/universal-screening/v2

Class Method HTTP request Description
JobManagementApi delete_active_job DELETE /job/{id}
JobManagementApi delete_all_active_jobs DELETE /jobs
JobManagementApi get_all_active_jobs GET /jobs
ScreeningOperationsApi get_calculate_results GET /job/{id}
ScreeningOperationsApi get_export_results GET /job/{id}/export
ScreeningOperationsApi poll_calculate GET /job/{id}/status
ScreeningOperationsApi submit_archive_ofdb POST /job/archive
ScreeningOperationsApi submit_calculate POST /job/calculate
ScreeningOperationsApi submit_export POST /job/export

Documentation For Models

Documentation For Authorization

FactSetApiKey

  • Type: HTTP basic authentication

FactSetOAuth2

  • Type: OAuth
  • Flow: application
  • Authorization URL:
  • Scopes: N/A

Notes for Large OpenAPI documents

If the OpenAPI document is large, imports in fds.sdk.UniversalScreening.apis and fds.sdk.UniversalScreening.models may fail with a RecursionError indicating the maximum recursion limit has been exceeded. In that case, there are a couple of solutions:

Solution 1: Use specific imports for apis and models like:

  • from fds.sdk.UniversalScreening.api.default_api import DefaultApi
  • from fds.sdk.UniversalScreening.model.pet import Pet

Solution 2: Before importing the package, adjust the maximum recursion limit as shown below:

import sys
sys.setrecursionlimit(1500)
import fds.sdk.UniversalScreening
from fds.sdk.UniversalScreening.apis import *
from fds.sdk.UniversalScreening.models import *

Contributing

Please refer to the contributing guide.

Copyright

Copyright 2026 FactSet Research Systems Inc

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fds_sdk_universalscreening-1.3.0.tar.gz (66.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fds_sdk_universalscreening-1.3.0-py3-none-any.whl (124.9 kB view details)

Uploaded Python 3

File details

Details for the file fds_sdk_universalscreening-1.3.0.tar.gz.

File metadata

File hashes

Hashes for fds_sdk_universalscreening-1.3.0.tar.gz
Algorithm Hash digest
SHA256 b48644f8d137ebb48ec8831b5551503d12f70b25352c7d1824549cc5bc2f0466
MD5 dae5c6ab2a2017ec043a750b4915219f
BLAKE2b-256 03908848495bdaafb99c8e942818809ed80d9bb85b9a485863f0c91a64371859

See more details on using hashes here.

File details

Details for the file fds_sdk_universalscreening-1.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for fds_sdk_universalscreening-1.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f1ed95469a321d20856a8c1b5822f2baf11b5532640d1531923b3984123165ae
MD5 5881c356795464143b3657401bdef83b
BLAKE2b-256 edffb0eccd7f3b478ba84beb6300ba56661f59b4c6bb088711f9f018b0edb149

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page