Skip to main content

FactSet Portfolio Optimizer client library for Python

Project description

FactSet

FactSet Portfolio Optimizer client library for Python

API Version PyPi Apache-2 license

Allow clients to fetch Analytics through APIs.

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

  • API version: 3
  • SDK version: 0.22.0
  • 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.FactSetPortfolioOptimizer==0.22.0

pip

pip install fds.sdk.utils fds.sdk.FactSetPortfolioOptimizer==0.22.0

Usage

  1. Generate authentication credentials.
  2. Setup Python environment.
    1. Install and activate python 3.10+. If you're using pyenv:

      pyenv install 3.10.0
      pyenv shell 3.10.0
      
    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.FactSetPortfolioOptimizer
from fds.sdk.FactSetPortfolioOptimizer.api import accounts_api
from fds.sdk.FactSetPortfolioOptimizer.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.FactSetPortfolioOptimizer.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.FactSetPortfolioOptimizer.Configuration(
#     username='USERNAME-SERIAL',
#     password='API-KEY'
# )

# Enter a context with an instance of the API client
with fds.sdk.FactSetPortfolioOptimizer.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = accounts_api.AccountsApi(api_client)

    try:
        # Get accounts and sub-directories in a directory
        # example passing only required values which don't have defaults set
        api_response = api_instance.get_accounts()

        pprint(api_response)
    except fds.sdk.FactSetPortfolioOptimizer.ApiException as e:
        print("Exception when calling AccountsApi->get_accounts: %s\n" % e)

    # # Get response, http status code and response headers
    # try:
    #     # Get accounts and sub-directories in a directory
    #     api_response, http_status_code, response_headers = api_instance.get_accounts_with_http_info()


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

    # # Get response asynchronous
    # try:
    #     # Get accounts and sub-directories in a directory
    #     async_result = api_instance.get_accounts_async()
    #     api_response = async_result.get()


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

    # # Get response, http status code and response headers asynchronous
    # try:
    #     # Get accounts and sub-directories in a directory
    #     async_result = api_instance.get_accounts_with_http_info_async()
    #     api_response, http_status_code, response_headers = async_result.get()


    #     pprint(api_response)
    #     pprint(http_status_code)
    #     pprint(response_headers)
    # except fds.sdk.FactSetPortfolioOptimizer.ApiException as e:
    #     print("Exception when calling AccountsApi->get_accounts: %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.FactSetPortfolioOptimizer

logging.basicConfig(level=logging.DEBUG)

configuration = fds.sdk.FactSetPortfolioOptimizer.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.FactSetPortfolioOptimizer

configuration = fds.sdk.FactSetPortfolioOptimizer.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.FactSetPortfolioOptimizer

configuration = fds.sdk.FactSetPortfolioOptimizer.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.FactSetPortfolioOptimizer

configuration = fds.sdk.FactSetPortfolioOptimizer.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

Class Method HTTP request Description
AccountsApi get_accounts GET /analytics/lookups/v3/accounts/{path} Get accounts and sub-directories in a directory
CurrenciesApi get_currencies GET /analytics/lookups/v3/currencies Get currencies
FPOOptimizerApi cancel_optimization_by_id DELETE /analytics/engines/fpo/v3/optimizations/{id} Cancel FPO optimization by id
FPOOptimizerApi get_optimization_parameters GET /analytics/engines/fpo/v3/optimizations/{id} Get FPO optimization parameters by id
FPOOptimizerApi get_optimization_result GET /analytics/engines/fpo/v3/optimizations/{id}/result Get FPO optimization result by id
FPOOptimizerApi get_optimization_status_by_id GET /analytics/engines/fpo/v3/optimizations/{id}/status Get FPO optimization status by id
FPOOptimizerApi post_and_optimize POST /analytics/engines/fpo/v3/optimizations Create and Run FPO optimization
FPOOptimizerApi put_and_optimize PUT /analytics/engines/fpo/v3/optimizations/{id} Create or Update FPO optimization and run it.
StrategyDocumentsApi get_fpo_strategy_documents GET /analytics/engines/fpo/v3/strategies/{path} Get FactSet Portfolio Optimizer strategy documents and sub-directories in a directory

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.FactSetPortfolioOptimizer.apis and fds.sdk.FactSetPortfolioOptimizer.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.FactSetPortfolioOptimizer.api.default_api import DefaultApi
  • from fds.sdk.FactSetPortfolioOptimizer.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.FactSetPortfolioOptimizer
from fds.sdk.FactSetPortfolioOptimizer.apis import *
from fds.sdk.FactSetPortfolioOptimizer.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_factsetportfoliooptimizer-0.22.0.tar.gz (61.8 kB view details)

Uploaded Source

Built Distribution

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

File details

Details for the file fds_sdk_factsetportfoliooptimizer-0.22.0.tar.gz.

File metadata

File hashes

Hashes for fds_sdk_factsetportfoliooptimizer-0.22.0.tar.gz
Algorithm Hash digest
SHA256 d51b743008e3a0554f3832c16597467e061a2556fe8f71fda49da2d56a4503b2
MD5 5642a40a7c117f87b714ff26b5c9d004
BLAKE2b-256 39465b9fd3bf273d3630aa44a9b10ea22915e5df246df52a9e1f8a20eb3e9503

See more details on using hashes here.

File details

Details for the file fds_sdk_factsetportfoliooptimizer-0.22.0-py3-none-any.whl.

File metadata

File hashes

Hashes for fds_sdk_factsetportfoliooptimizer-0.22.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f5152f03da58af9d8fe6cf9efe6580600824a6ac8bc0aa6fd1d246c1090c468f
MD5 2aa12ac16a79b515f7b6d5fa8b76486e
BLAKE2b-256 73b316dfc9085266b6e5333fe9254e608cb47d8f08a8f700b2a98db900bf10ca

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