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SFDClib
*******

SFDClib is a Salesforce.com Metadata API and Tooling API client built for Python 2.7, 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.

One method is to pass in the username, password, and token:

.. code-block:: python

from sfdclib import SfdcSession

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

A second method, if you've already logged in elsewhere, is to pass in the instance and session_id. This method does not require calling login().

.. code-block:: python

from sfdclib import SfdcSession

s = SfdcSession(
'session_id': 'thiswillbeaverylongstringofcharactersincludinglettersspacesandsymbols',
'instance': 'custom-sf-site.my'
)
# Notice we are not calling the login() method for this example.

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

.. code-block:: python

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)** - submits deploy request
| **check_deploy_status(id)** - returns 3-tuple containing state, state detail and test result errors
| **retrieve(options)** - submits retrieve request
| **check_retrieve_status(id)** - retrieves retrieve call status. returns 3-tuple containing state, state detail and warning/error messages
| **retrieve_zip(id)** - retrieves resulting ZIP file for the specified Id of retrieve call. returns 4-tuple containing state, state detail, warning/error messages and ZIP file
|

SfdcToolingApi
^^^^^^^^^^^^^^
|
| **anon_query(query)** - executes anonymous SOQL query and returns results in a form of `requests.Response <http://docs.python-requests.org/en/master/user/quickstart/#response-content>`_
| **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
| **anon_apex(apex)** - executes anonymous apex with a success or error message
| **execute_AnonApex(apex) ** - executes anonymous apex and returns the System output information in the form of a text body
| **apexLog_Q(auditlog_id)** - queries for and returns the AuditLog body of the AuditLog Id given to it.
| **set_Traceflag(user_id)** - sets a traceflag for the supplied user Id
| **delete_Traceflag(traceflag_id)** - deletes the TraceFlag associated with the provided TraceFlag Id
|

SfdcBulkApi
^^^^^^^^^^^
|
| **export(object_name, query=None)** - exports data of specified object. If query is not passed only Id field will be exported
| **upsert(object_name, csv_data, external_id_field)** - upserts data to specified object. Records will be matched by external id field
| **update(object_name, csv_data)** - updates data in specified object. Records will be matched by Id field
| **delete(object_name, csv_data)** - deletes data from specified object. Records will be matched by Id field
|

TroubleShooting
-------
To use the execute_AnonApex function you will need to provide a DebugLevelId to the traceFlagPL located in the function set_Traceflag().
To get your DebugLevelId log onto the Salesforce environment, open the developer console, and execute **select Id, LogType, ExpirationDate, DebugLevelId from TraceFlag**.

License
-------

This package is released under the MIT license.

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