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SFDClib is a Salesforce.com Metadata API and Tooling API client built for Python 3.3 and 3.4.

Project description

SFDClib is a Salesforce.com Metadata API and Tooling API client built for Python 3.3 and 3.4.

Usage

To use API classes one needs to create a session first by instantiating SfdcSession class and passing login details to the constructor.

from sfdclib import SfdcSession

s = SfdcSession(
    'username': 'sfdcadmin@company.com.sandbox',
    'password': 'Pa$sw0rd',
    'token': 'TOKEN',
    'is_sandbox': True
)
s.login()

Then create an instance of corresponding API class passing session object.

from sfdclib import SfdcToolingApi

tooling = SfdcToolingApi(s)
r = tooling.anon_query("SELECT Id, Name FROM User LIMIT 10")

Implemented methods

SfdcSession


login() - establishes a session with Salesforce
is_connected() - returns True if session has been established
get_session_id() - returns Salesforce session ID
get_server_url() - returns url to the login server (https://test.salesforce.com when not connected and https://instance_name.salesforce.com when connected)
get_api_version() - returns API version being used (36.0, 37.0, …)

SfdcMetadataApi


deploy(zipfile, options) - deploys or verifies deployment package
check_deploy_status(id) - returns 3-tuple containing state, state detail and test result errors

SfdcToolingApi


anon_query(query) - executes anonymous SOQL query and returns results in a form of requests.Response
get(uri) - sends GET request to specified URI
post(uri, data) - sends passed data in a POST request to specified URI
delete(uri) - sends DELETE request to specified URI

License

This package is released under the MIT license.

Project details


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