Research
Security News
Malicious npm Package Targets Solana Developers and Hijacks Funds
A malicious npm package targets Solana developers, rerouting funds in 2% of transactions to a hardcoded address.
fds.sdk.EventsContribution
Advanced tools
The Events Contribution API provides the ability to add specific types of corporate events to FactSet’s own events calendar, for display within FactSet’s applications, as well as for off-platform re-distribution via FactSet’s Events Calendar API.
This Python package is automatically generated by the OpenAPI Generator project:
For more information, please visit https://developer.factset.com/contact
poetry add fds.sdk.utils fds.sdk.EventsContribution==0.20.4
pip install fds.sdk.utils fds.sdk.EventsContribution==0.20.4
Install and activate python 3.7+. If you're using pyenv:
pyenv install 3.9.7
pyenv shell 3.9.7
(optional) Install poetry.
[!IMPORTANT] The parameter variables defined below are just examples and may potentially contain non valid values. Please replace them with valid values.
from fds.sdk.utils.authentication import ConfidentialClient
import fds.sdk.EventsContribution
from fds.sdk.EventsContribution.api import events_contribution_api
from fds.sdk.EventsContribution.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.EventsContribution.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.EventsContribution.Configuration(
# username='USERNAME-SERIAL',
# password='API-KEY'
# )
# Enter a context with an instance of the API client
with fds.sdk.EventsContribution.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = events_contribution_api.EventsContributionApi(api_client)
event_id = "1234" # str | ID of event to be deleted. This ID is vendor generated and should be unique in each vendor's content set.
try:
# Delete Event data
# example passing only required values which don't have defaults set
api_response = api_instance.delete_event(event_id)
pprint(api_response)
except fds.sdk.EventsContribution.ApiException as e:
print("Exception when calling EventsContributionApi->delete_event: %s\n" % e)
# # Get response, http status code and response headers
# try:
# # Delete Event data
# api_response, http_status_code, response_headers = api_instance.delete_event_with_http_info(event_id)
# pprint(api_response)
# pprint(http_status_code)
# pprint(response_headers)
# except fds.sdk.EventsContribution.ApiException as e:
# print("Exception when calling EventsContributionApi->delete_event: %s\n" % e)
# # Get response asynchronous
# try:
# # Delete Event data
# async_result = api_instance.delete_event_async(event_id)
# api_response = async_result.get()
# pprint(api_response)
# except fds.sdk.EventsContribution.ApiException as e:
# print("Exception when calling EventsContributionApi->delete_event: %s\n" % e)
# # Get response, http status code and response headers asynchronous
# try:
# # Delete Event data
# async_result = api_instance.delete_event_with_http_info_async(event_id)
# api_response, http_status_code, response_headers = async_result.get()
# pprint(api_response)
# pprint(http_status_code)
# pprint(response_headers)
# except fds.sdk.EventsContribution.ApiException as e:
# print("Exception when calling EventsContributionApi->delete_event: %s\n" % e)
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)
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.EventsContribution
logging.basicConfig(level=logging.DEBUG)
configuration = fds.sdk.EventsContribution.Configuration(...)
configuration.debug = True
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.EventsContribution
configuration = fds.sdk.EventsContribution.Configuration(
# ...
proxy="http://secret:password@localhost:5050",
proxy_headers={
"Custom-Proxy-Header": "Custom-Proxy-Header-Value"
}
)
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.EventsContribution
configuration = fds.sdk.EventsContribution.Configuration(
# ...
ssl_ca_cert='/path/to/ca.pem'
)
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.EventsContribution
configuration = fds.sdk.EventsContribution.Configuration(
# ...
)
configuration.retries = Retry(total=3, status_forcelist=[500, 502, 503, 504])
All URIs are relative to https://api.factset.com/events-contribution/v0
Class | Method | HTTP request | Description |
---|---|---|---|
EventsContributionApi | delete_event | DELETE /events/{eventId} | Delete Event data |
EventsContributionApi | get_event | GET /events/{eventId} | Get Event Data |
EventsContributionApi | insert_event | POST /events | Insert Event data |
EventsContributionApi | update_event | PUT /events/{eventId} | Update Event data |
If the OpenAPI document is large, imports in fds.sdk.EventsContribution.apis and fds.sdk.EventsContribution.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.EventsContribution.api.default_api import DefaultApi
from fds.sdk.EventsContribution.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.EventsContribution
from fds.sdk.EventsContribution.apis import *
from fds.sdk.EventsContribution.models import *
Please refer to the contributing guide.
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.
FAQs
Events Contribution client library for Python
We found that fds.sdk.EventsContribution demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
A malicious npm package targets Solana developers, rerouting funds in 2% of transactions to a hardcoded address.
Security News
Research
Socket researchers have discovered malicious npm packages targeting crypto developers, stealing credentials and wallet data using spyware delivered through typosquats of popular cryptographic libraries.
Security News
Socket's package search now displays weekly downloads for npm packages, helping developers quickly assess popularity and make more informed decisions.