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fds.sdk.ContentFeedsDataDictionary
Advanced tools
Content Feeds Data Dictionary client library for Python
An API for interacting with CTS Data Dictionary.
This Python package is automatically generated by the OpenAPI Generator project:
poetry add fds.sdk.utils fds.sdk.ContentFeedsDataDictionary==0.21.15
pip install fds.sdk.utils fds.sdk.ContentFeedsDataDictionary==0.21.15
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.ContentFeedsDataDictionary
from fds.sdk.ContentFeedsDataDictionary.api import navigator_api
from fds.sdk.ContentFeedsDataDictionary.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.ContentFeedsDataDictionary.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.ContentFeedsDataDictionary.Configuration(
# username='USERNAME-SERIAL',
# password='API-KEY'
# )
# Enter a context with an instance of the API client
with fds.sdk.ContentFeedsDataDictionary.ApiClient(configuration) as api_client:
# Create an instance of the API class
api_instance = navigator_api.NavigatorApi(api_client)
basic_search_request = BasicSearchRequest(None) # BasicSearchRequest | A list of search terms (each term must be at least two characters).
try:
# Returns the data items (along with the products they belong to) that contain at least one of the search terms as a substring of either their name or description.
# example passing only required values which don't have defaults set
api_response = api_instance.navigator_basic_search_post(basic_search_request)
pprint(api_response)
except fds.sdk.ContentFeedsDataDictionary.ApiException as e:
print("Exception when calling NavigatorApi->navigator_basic_search_post: %s\n" % e)
# # Get response, http status code and response headers
# try:
# # Returns the data items (along with the products they belong to) that contain at least one of the search terms as a substring of either their name or description.
# api_response, http_status_code, response_headers = api_instance.navigator_basic_search_post_with_http_info(basic_search_request)
# pprint(api_response)
# pprint(http_status_code)
# pprint(response_headers)
# except fds.sdk.ContentFeedsDataDictionary.ApiException as e:
# print("Exception when calling NavigatorApi->navigator_basic_search_post: %s\n" % e)
# # Get response asynchronous
# try:
# # Returns the data items (along with the products they belong to) that contain at least one of the search terms as a substring of either their name or description.
# async_result = api_instance.navigator_basic_search_post_async(basic_search_request)
# api_response = async_result.get()
# pprint(api_response)
# except fds.sdk.ContentFeedsDataDictionary.ApiException as e:
# print("Exception when calling NavigatorApi->navigator_basic_search_post: %s\n" % e)
# # Get response, http status code and response headers asynchronous
# try:
# # Returns the data items (along with the products they belong to) that contain at least one of the search terms as a substring of either their name or description.
# async_result = api_instance.navigator_basic_search_post_with_http_info_async(basic_search_request)
# api_response, http_status_code, response_headers = async_result.get()
# pprint(api_response)
# pprint(http_status_code)
# pprint(response_headers)
# except fds.sdk.ContentFeedsDataDictionary.ApiException as e:
# print("Exception when calling NavigatorApi->navigator_basic_search_post: %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.ContentFeedsDataDictionary
logging.basicConfig(level=logging.DEBUG)
configuration = fds.sdk.ContentFeedsDataDictionary.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.ContentFeedsDataDictionary
configuration = fds.sdk.ContentFeedsDataDictionary.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.ContentFeedsDataDictionary
configuration = fds.sdk.ContentFeedsDataDictionary.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.ContentFeedsDataDictionary
configuration = fds.sdk.ContentFeedsDataDictionary.Configuration(
# ...
)
configuration.retries = Retry(total=3, status_forcelist=[500, 502, 503, 504])
All URIs are relative to https://api.factset.com/data-dictionary
Class | Method | HTTP request | Description |
---|---|---|---|
NavigatorApi | navigator_basic_search_post | POST /navigator/basic_search | Returns the data items (along with the products they belong to) that contain at least one of the search terms as a substring of either their name or description. |
NavigatorApi | navigator_data_items_product_id_get | GET /navigator/data_items/{Product_id} | Get the list of data items associated with a product for Navigator. |
NavigatorApi | navigator_products_get | GET /navigator/products | Get the list of products for Navigator. |
NavigatorApi | navigator_sources_data_item_id_get | GET /navigator/sources/{DataItem_id} | Get a list of sources where the specified data item can be found, for each delivery method, filtered to the appearances of the given data item within the specified product. |
NavigatorApi | navigator_sources_get | GET /navigator/sources | Get a list of sources by delivery method for the given product_id |
NavigatorApi | navigator_table_fields_table_id_get | GET /navigator/table_fields/{Table_id} | Get the list of fields associated with a table for Navigator, and the code information for the specified data item, if applicable. |
If the OpenAPI document is large, imports in fds.sdk.ContentFeedsDataDictionary.apis and fds.sdk.ContentFeedsDataDictionary.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.ContentFeedsDataDictionary.api.default_api import DefaultApi
from fds.sdk.ContentFeedsDataDictionary.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.ContentFeedsDataDictionary
from fds.sdk.ContentFeedsDataDictionary.apis import *
from fds.sdk.ContentFeedsDataDictionary.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
Content Feeds Data Dictionary client library for Python
We found that fds.sdk.ContentFeedsDataDictionary 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.
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