Skip to main content

FactSet Entity client library for Python

Project description

FactSet

FactSet Entity client library for Python

API Version PyPi Apache-2 license

Using an entity centric data model, FactSet's Entity API provides access to FactSet's complete security and entity level symbology, comprehensive entity reference data, and all of the necessary relationships and connections to create a foundation that tightly correlates disparate sources of information to a master entity identifier. Use this API to quickly understand the full entity structure and related securities.

Rate limit is set to 10 requests per second.

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

  • API version: 1.4.0
  • SDK version: 1.1.9
  • Build package: org.openapitools.codegen.languages.PythonClientCodegen

Requirements

  • Python >= 3.7

Installation

Poetry

poetry add fds.sdk.utils fds.sdk.FactSetEntity==1.1.9

pip

pip install fds.sdk.utils fds.sdk.FactSetEntity==1.1.9

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.FactSetEntity
from fds.sdk.FactSetEntity.api import entity_reference_api
from fds.sdk.FactSetEntity.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.FactSetEntity.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.FactSetEntity.Configuration(
#     username='USERNAME-SERIAL',
#     password='API-KEY'
# )

# Enter a context with an instance of the API client
with fds.sdk.FactSetEntity.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = entity_reference_api.EntityReferenceApi(api_client)
    ids = ["AAPL-US","0FPWZZ-E","TSLA-US"] # [str] | The requested Market Identifier. Accepted input identifiers include Ticker-Exchange, Ticker-Regions, CUSIPs, ISINs, SEDOLs, or FactSet Permanent Ids, such as -R, -L, or -E.<p>**Max Ids Limit set to 3000 in a single request**</p>   *<p>Make note, GET Method URL request lines are also limited to a total length of 8192 bytes (8KB). In cases where the service allows for thousands of ids,       which may lead to exceeding this request line limit of 8KB, its       advised for any requests with large request lines to be requested through       the respective \\\"POST\\\" method.</p>* 

    try:
        # Returns an entity reference profiles for an individual entity
        # example passing only required values which don't have defaults set
        api_response = api_instance.get_entity_references(ids)

        pprint(api_response)
    except fds.sdk.FactSetEntity.ApiException as e:
        print("Exception when calling EntityReferenceApi->get_entity_references: %s\n" % e)

    # # Get response, http status code and response headers
    # try:
    #     # Returns an entity reference profiles for an individual entity
    #     api_response, http_status_code, response_headers = api_instance.get_entity_references_with_http_info(ids)


    #     pprint(api_response)
    #     pprint(http_status_code)
    #     pprint(response_headers)
    # except fds.sdk.FactSetEntity.ApiException as e:
    #     print("Exception when calling EntityReferenceApi->get_entity_references: %s\n" % e)

    # # Get response asynchronous
    # try:
    #     # Returns an entity reference profiles for an individual entity
    #     async_result = api_instance.get_entity_references_async(ids)
    #     api_response = async_result.get()


    #     pprint(api_response)
    # except fds.sdk.FactSetEntity.ApiException as e:
    #     print("Exception when calling EntityReferenceApi->get_entity_references: %s\n" % e)

    # # Get response, http status code and response headers asynchronous
    # try:
    #     # Returns an entity reference profiles for an individual entity
    #     async_result = api_instance.get_entity_references_with_http_info_async(ids)
    #     api_response, http_status_code, response_headers = async_result.get()


    #     pprint(api_response)
    #     pprint(http_status_code)
    #     pprint(response_headers)
    # except fds.sdk.FactSetEntity.ApiException as e:
    #     print("Exception when calling EntityReferenceApi->get_entity_references: %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.FactSetEntity

logging.basicConfig(level=logging.DEBUG)

configuration = fds.sdk.FactSetEntity.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.FactSetEntity

configuration = fds.sdk.FactSetEntity.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.FactSetEntity

configuration = fds.sdk.FactSetEntity.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.FactSetEntity

configuration = fds.sdk.FactSetEntity.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/content

Class Method HTTP request Description
EntityReferenceApi get_entity_references GET /factset-entity/v1/entity-references Returns an entity reference profiles for an individual entity
EntityReferenceApi post_entity_references POST /factset-entity/v1/entity-references Returns an entity reference data for a list of ids.
EntityReferenceChineseApi get_entity_reference_chi GET /factset-entity/v1/entity-reference-chi Returns entity reference data in Chinese for an individual entity.
EntityReferenceChineseApi get_entity_reference_chi_for_list POST /factset-entity/v1/entity-reference-chi Returns entity reference data in Chinese for an individual entity.
EntitySecuritiesApi get_entity_securities GET /factset-entity/v1/entity-securities Returns all Equity Exchange Listings and all debt instruments issued for the requested entity.
EntitySecuritiesApi post_entity_securities POST /factset-entity/v1/entity-securities Returns all Equity Exchange Listings and all debt instruments issued for the requested entity.
EntityStructureApi get_entity_structure GET /factset-entity/v1/entity-structures Returns all active or inactive entities and respective levels below the requested entity id.
EntityStructureApi get_ultimate_entity_structure GET /factset-entity/v1/ultimate-entity-structures Returns the full ultimate parent entity hiearachy. Control levels and active status of underlying entities.
EntityStructureApi post_entity_structure POST /factset-entity/v1/entity-structures Returns all active or inactive entities below the requested entity id.
EntityStructureApi post_ultimate_entity_structure POST /factset-entity/v1/ultimate-entity-structures Returns all active or inactive entities and respective levels below the requested entity id.
HistoricalCreditParentApi get_hist_cred_parent GET /factset-entity/v1/hist-credit-parent Returns historical credit parents for the requested id(s).
HistoricalCreditParentApi post_hist_cred_parent POST /factset-entity/v1/hist-credit-parent Returns historical credit parents for the requested id(s).

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.FactSetEntity.apis and fds.sdk.FactSetEntity.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.FactSetEntity.api.default_api import DefaultApi
  • from fds.sdk.FactSetEntity.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.FactSetEntity
from fds.sdk.FactSetEntity.apis import *
from fds.sdk.FactSetEntity.models import *

Contributing

Please refer to the contributing guide.

Copyright

Copyright 2022 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.FactSetEntity-1.1.9.tar.gz (67.6 kB view details)

Uploaded Source

Built Distribution

fds.sdk.FactSetEntity-1.1.9-py3-none-any.whl (141.6 kB view details)

Uploaded Python 3

File details

Details for the file fds.sdk.FactSetEntity-1.1.9.tar.gz.

File metadata

  • Download URL: fds.sdk.FactSetEntity-1.1.9.tar.gz
  • Upload date:
  • Size: 67.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.10.0 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/1.0.0 urllib3/1.26.20 tqdm/4.64.1 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.15

File hashes

Hashes for fds.sdk.FactSetEntity-1.1.9.tar.gz
Algorithm Hash digest
SHA256 3184d37acfc2d2ace11d48d0f2f7e18b721348de632146fd01b2cff4de1dae67
MD5 ec38d9c67623c31bd8b6fa207b059e88
BLAKE2b-256 48339056a4b883f8d357befa674622f295406531095a77a2f6412f85ac55372a

See more details on using hashes here.

File details

Details for the file fds.sdk.FactSetEntity-1.1.9-py3-none-any.whl.

File metadata

  • Download URL: fds.sdk.FactSetEntity-1.1.9-py3-none-any.whl
  • Upload date:
  • Size: 141.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.10.0 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/1.0.0 urllib3/1.26.20 tqdm/4.64.1 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.5 CPython/3.6.15

File hashes

Hashes for fds.sdk.FactSetEntity-1.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 0ca1627c589a3e313a573a43f92c9bd81c9abb65669e9a033f86065f6b90074f
MD5 8780d604bb58c43442295542ee0a8df6
BLAKE2b-256 ed97efd4ea752f1302c05fbfd7f5cf2a9f2b3b05a1ecad44dc686ccdc348f04b

See more details on using hashes here.

Supported by

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