fds.sdk.OFDB 0.30.4

OFDB client library for Python

OFDB client library for Python

OFDB API

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

• API version: 2.0.0
• Package version: 0.30.4
• 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.OFDB

pip

pip install fds.sdk.utils fds.sdk.OFDB

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:

from fds.sdk.utils.authentication import ConfidentialClient

import fds.sdk.OFDB
from fds.sdk.OFDB.api import add_api
from fds.sdk.OFDB.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
# See https://github.com/FactSet/enterprise-sdk-utils-python#authentication
# for more information on using the ConfidentialClient class
configuration = fds.sdk.OFDB.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.OFDB.Configuration(
#     username='USERNAME-SERIAL',
#     password='API-KEY'
# )

# Enter a context with an instance of the API client
with fds.sdk.OFDB.ApiClient(configuration) as api_client:
    # Create an instance of the API class
    api_instance = add_api.AddApi(api_client)
    path = "path_example" # str | Encode database path
    add_dates = AddDates(
        data=[
            AddDatesData(
                date=20220202,
                content=[
                    AddDatesContent(
                        symbol="symbol_example",
                        field_1=1,
                    ),
                ],
            ),
        ],
    ) # AddDates | Required data for creating date in the database. At least one iterative field is required otherwise it will throw 400.

    try:
        api_response = api_instance.add_dates(path, add_dates)
        pprint(api_response)
    except fds.sdk.OFDB.ApiException as e:
        print("Exception when calling AddApi->add_dates: %s\n" % e)

    # Get response, http status code and response headers
    # try:
    #     api_response, http_status_code, response_headers = api_instance.add_dates_with_http_info(path, add_dates)
    #     pprint(api_response)
    #     pprint(http_status_code)
    #     pprint(response_headers)
    # except fds.sdk.OFDB.ApiException as e:
    #     print("Exception when calling AddApi->add_dates: %s\n" % e)

    # Get response asynchronous
    # try:
    #     async_result = api_instance.add_dates_async(path, add_dates)
    #     api_response = async_result.get()
    #     pprint(api_response)
    # except fds.sdk.OFDB.ApiException as e:
    #     print("Exception when calling AddApi->add_dates: %s\n" % e)

    # Get response, http status code and response headers asynchronous
    # try:
    #     async_result = api_instance.add_dates_with_http_info_async(path, add_dates)
    #     api_response, http_status_code, response_headers = async_result.get()
    #     pprint(api_response)
    #     pprint(http_status_code)
    #     pprint(response_headers)
    # except fds.sdk.OFDB.ApiException as e:
    #     print("Exception when calling AddApi->add_dates: %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.OFDB

logging.basicConfig(level=logging.DEBUG)

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

Documentation for API Endpoints

All URIs are relative to https://api.factset.com/analytics/ofdb/v2

Class	Method	HTTP request	Description
AddApi	add_dates	POST /database/{path}/dates
AddApi	add_fields	POST /database/{path}/fields
AddApi	add_symbols	POST /database/{path}/symbols
CreateApi	create_database	POST /database
DeleteApi	delete_bulk_items	POST /database/{path}/delete
DeleteApi	delete_date	DELETE /database/{path}/dates/{date}
DeleteApi	delete_date_from_symbol	DELETE /database/{path}/dates/{date}/symbols/{symbol}
DeleteApi	delete_symbol	DELETE /database/{path}/symbols/{symbol}
GetApi	get_audit	GET /database/{path}/audit
GetApi	get_data	GET /database/{path}
GetApi	get_dates	GET /database/{path}/dates
GetApi	get_fields	GET /database/{path}/fields
GetApi	get_stats	GET /database/{path}/stats
GetApi	get_symbols	GET /database/{path}/symbols
UpdateApi	update_date	PUT /database/{path}/dates/{date}
UpdateApi	update_dates	PUT /database/{path}/dates
UpdateApi	update_symbol	PUT /database/{path}/symbols/{symbol}
UpdateApi	update_symbols	PUT /database/{path}/symbols

Documentation For Models

• AddDates
• AddDatesContent
• AddDatesData
• AddFields
• AddSymbols
• AddSymbolsContent
• AddSymbolsData
• BulkDelete
• BulkDeleteData
• CreateDatabase
• CreateDatabaseData
• DatabaseSchema
• DatabaseSchemaData
• Dates
• Fields
• InlineResponse200
• InlineResponse2001
• InlineResponse2001Data
• InlineResponse2002
• InlineResponse2003
• InlineResponse2004
• InlineResponse2005
• InlineResponse2006
• InlineResponse2006Data
• InlineResponse200Data
• InlineResponse202
• InlineResponse202Data
• InlineResponse400
• InlineResponse400Errors
• InlineResponse400Source
• InlineResponse403
• InlineResponse403Errors
• InlineResponse404
• InlineResponse404Errors
• InlineResponse406
• InlineResponse406Errors
• InlineResponse413
• InlineResponse413Errors
• InlineResponse429
• InlineResponse429Errors
• SuccessPostResponse
• SuccessPostResponseData
• Symbols
• UpdateDate
• UpdateDateData
• UpdateDates
• UpdateDatesData
• UpdateSymbol
• UpdateSymbolContent
• UpdateSymbolData
• UpdateSymbols
• UpdateSymbolsData

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