Events and Transcripts client library for Python
Project description
Events and Transcripts client library for Python
The Calendar Events API provides access to FactSet’s Event Calendar data alongside business logic that allows users to replicate views and functionality consistent with the experience provided by the Workstation. This API provides the ability to pull Event Calendar data based on specific filters.
Events Audio API provides access to historical as well as the latest audio recordings of various company events covered by FactSet. The events include, but are not limited to: earnings calls, conferences, and investor days. This API also provides relevant metadata such as timestamps and identifiers around each audio file.
The Near Real-time Transcripts API enables access to Near Real-time Transcripts provided by CallStreet to time-sensitive clients. This API also provides the relevant speaker metadata along with their confidence scores. This data caters to quant clients interested in building machine learning models. Clients can leverage this API to perform sentiment analysis through natural language processing or machine learning. It can also be used to complement analysis using FactSet's transcripts service.
Transcripts API provides conference call transcripts for companies' publicly held conference calls and a wealth of information regarding upcoming corporate events, such as conference call date and time, phone number and password, type of conference call, and important company investor relations contact information.
This Python package is automatically generated by the OpenAPI Generator project:
- API version: 1.0.0
- SDK version: 0.20.0
- 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.EventsandTranscripts==0.20.0
pip
pip install fds.sdk.utils fds.sdk.EventsandTranscripts==0.20.0
Usage
- Generate authentication credentials.
- Setup Python environment.
-
Install and activate python 3.7+. If you're using pyenv:
pyenv install 3.9.7 pyenv shell 3.9.7
-
(optional) Install poetry.
-
- Install dependencies.
- 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.EventsandTranscripts
from fds.sdk.EventsandTranscripts.api import calendar_events_api
from fds.sdk.EventsandTranscripts.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.EventsandTranscripts.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.EventsandTranscripts.Configuration(
# username='USERNAME-SERIAL',
# password='API-KEY'
# )
# Enter a context with an instance of the API client
with fds.sdk.EventsandTranscripts.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = calendar_events_api.CalendarEventsApi(api_client)
company_event_request = CompanyEventRequest(
data=CompanyEventRequestData(
date_time=CompanyEventRequestDataDateTime(
start=dateutil_parser('2022-12-01T00:00:00Z'),
end=dateutil_parser('2022-12-31T22:59:02Z'),
),
universe=CompanyEventRequestDataUniverse(
symbols=["AAPL-US","MSFT-US","FDS-US"],
type="Tickers",
),
event_types=[
"Earnings",
],
),
) # CompanyEventRequest | Company Event request body
try:
# Retrieve Company Event data
# example passing only required values which don't have defaults set
api_response = api_instance.get_company_event(company_event_request)
pprint(api_response)
except fds.sdk.EventsandTranscripts.ApiException as e:
print("Exception when calling CalendarEventsApi->get_company_event: %s\n" % e)
# # Get response, http status code and response headers
# try:
# # Retrieve Company Event data
# api_response, http_status_code, response_headers = api_instance.get_company_event_with_http_info(company_event_request)
# pprint(api_response)
# pprint(http_status_code)
# pprint(response_headers)
# except fds.sdk.EventsandTranscripts.ApiException as e:
# print("Exception when calling CalendarEventsApi->get_company_event: %s\n" % e)
# # Get response asynchronous
# try:
# # Retrieve Company Event data
# async_result = api_instance.get_company_event_async(company_event_request)
# api_response = async_result.get()
# pprint(api_response)
# except fds.sdk.EventsandTranscripts.ApiException as e:
# print("Exception when calling CalendarEventsApi->get_company_event: %s\n" % e)
# # Get response, http status code and response headers asynchronous
# try:
# # Retrieve Company Event data
# async_result = api_instance.get_company_event_with_http_info_async(company_event_request)
# api_response, http_status_code, response_headers = async_result.get()
# pprint(api_response)
# pprint(http_status_code)
# pprint(response_headers)
# except fds.sdk.EventsandTranscripts.ApiException as e:
# print("Exception when calling CalendarEventsApi->get_company_event: %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.EventsandTranscripts
logging.basicConfig(level=logging.DEBUG)
configuration = fds.sdk.EventsandTranscripts.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.EventsandTranscripts
configuration = fds.sdk.EventsandTranscripts.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 inPEM
format.verify_ssl
: setting this toFalse
disables the verification of certificates. Disabling the verification is not recommended, but it might be useful during local development or testing.
import fds.sdk.EventsandTranscripts
configuration = fds.sdk.EventsandTranscripts.Configuration(
# ...
ssl_ca_cert='/path/to/ca.pem'
)
Documentation for API Endpoints
All URIs are relative to https://api.factset.com/events/v1
Class | Method | HTTP request | Description |
---|---|---|---|
CalendarEventsApi | get_company_event | POST /calendar/events | Retrieve Company Event data |
EventsAudioApi | get_docs_distributor_audio_v1_history_files | GET /audio/history | Retrieve historical audio recordings and related metadata within FactSet coverage. |
EventsAudioApi | get_docs_distributor_audio_v1_list_files_date | GET /audio/by-date | Retrieve latest audio recordings and related metadata within FactSet coverage based on a specific date ranges. |
EventsAudioApi | get_docs_distributor_audio_v1_list_files_file_name | GET /audio/by-file-name | Retrieve latest audio recordings and related metadata within FactSet coverage based on file name. |
EventsAudioApi | get_docs_distributor_audio_v1_list_files_ids | GET /audio/by-ids | Retrieve the latest audio recordings along with their corresponding metadata from the FactSet coverage based on specific IDs. |
EventsAudioApi | get_docs_distributor_audio_v1_list_files_upload_time | GET /audio/by-upload-time | Retrieve latest audio recordings and related metadata within FactSet coverage based on upload time. |
NearRealTimeTranscriptsApi | get_bulk_documents_nrt_v1_calls | GET /nrt/by-ticker | Returns the active calls happening at the moment based on ticker,call status and entity ID. |
NearRealTimeTranscriptsApi | get_bulk_documents_nrt_v1_calls_by_audio_source_id | GET /nrt/by-ids | Returns the active calls happening at the moment based on audio source ID and report ID. |
NearRealTimeTranscriptsApi | get_bulk_documents_nrt_v1_indexedrt | GET /nrt/indexed | Returns the indexed transcript data in small increments throughout the duration of an active call. |
NearRealTimeTranscriptsApi | get_bulk_documents_nrt_v1_speaker_ids | GET /nrt/speakerids | Returns the latest speakerIds with the confidence scores generated for an active call. |
TranscriptsApi | get_timezone | GET /reference/time-zones | Returns the time zones. |
TranscriptsApi | get_transcripts | GET /transcripts/search | Returns the transcript documents in XML format and related metadata within FactSet coverage based on search text. |
TranscriptsApi | get_transcripts_dates | GET /transcripts/dates | Returns the transcript documents in XML format and related metadata within FactSet coverage based on specific date range and time zones. |
TranscriptsApi | get_transcripts_events | GET /transcripts/events | Returns the transcript documents in XML format and related metadata within FactSet coverage based on eventIds and eventType. |
TranscriptsApi | get_transcripts_ids | GET /transcripts/ids | Returns the transcript documents in XML format and related metadata within FactSet coverage based on specific IDs. |
TranscriptsApi | getcategories | GET /reference/categories | Returns the categories. |
Documentation For Models
- CompanyEventRequest
- CompanyEventRequestData
- CompanyEventRequestDataDateTime
- CompanyEventRequestDataUniverse
- CompanyEventResponse
- CompanyEventResponseObject
- Error
- ErrorExample
- EventsAudioDaily
- EventsAudioDailyFileName
- EventsAudioDailyFileNameData
- EventsAudioDailyIds
- EventsAudioDailyMeta
- EventsAudioDailyMetaPagination
- EventsAudioDailyObject
- EventsAudioHistory
- EventsAudioHistoryData
- EventsAudioIdsObject
- IndexedNrt
- NrtCalls
- NrtCallsMeta
- NrtCallsMetaPagination
- NrtCallsObject
- NrtSpeakerIdObject
- NrtSpeakerIds
- NrtSpeakerIdsMeta
- NrtSpeakerIdsMetaPagination
- ResponseCategories
- ResponseCategoriesObject
- ResponseTime
- ResponseTimeObject
- TranscriptObject
- TranscriptObjectOne
- Transcripts
- TranscriptsMeta
- TranscriptsMetaPagination
- TranscriptsOne
- TranscriptsOneMeta
- TranscriptsOneMetaPagination
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.EventsandTranscripts.apis and fds.sdk.EventsandTranscripts.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.EventsandTranscripts.api.default_api import DefaultApi
from fds.sdk.EventsandTranscripts.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.EventsandTranscripts
from fds.sdk.EventsandTranscripts.apis import *
from fds.sdk.EventsandTranscripts.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.
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