Snowflake compare annotation fix, add docs (#344)

* changes

* doc fix

* version bump

datacompy/__init__.py

@@ -18,7 +18,7 @@
 Then extended to carry that functionality over to Spark Dataframes.
 """
 
-__version__ = "0.14.1"
+__version__ = "0.14.2"
 
 import platform
 from warnings import warn

datacompy/snowflake.py

@@ -200,7 +200,7 @@ def _validate_dataframe(self, df_name: str, index: str) -> None:
             The "index" of the dataframe - df1 or df2.
         """
         df = getattr(self, index)
-        if not isinstance(df, "sp.DataFrame"):
+        if not isinstance(df, sp.DataFrame):
             raise TypeError(f"{df_name} must be a valid sp.Dataframe")
 
         # force all columns to be non-case-sensitive

docs/source/developer_instructions.rst

@@ -43,6 +43,24 @@ Run ``python -m pytest`` to run all unittests defined in the subfolder
 `pytest-runner <https://pypi.python.org/pypi/pytest-runner>`_.
 
 
+Snowflake testing
+-----------------
+Testing the Snowflake compare requires the use of a Snowflake cluster, as Snowflake does not support local running.
+This means that Snowflake tests do not get run in CICD, and changes to the Snowflake Compare must be validated by
+the process of running these tests locally.
+
+Note that you must have the following environment variables set in order to instantiate a Snowflake Connection (for testing purposes):
+
+- "SF_ACCOUNT": with your SF account
+- "SF_UID": with your SF username
+- "SF_PWD": with your SF password
+- "SF_WAREHOUSE": with your desired SF warehouse
+- "SF_DATABASE": with a valid database with which you have access
+- "SF_SCHEMA": with a valid schema belonging to the provided database
+
+Once these are set, you are free to run the suite of Snowflake tests.
+
+
 Management of Requirements
 --------------------------
 
@@ -130,4 +148,4 @@ Finally upload to PyPi::
     twine upload --repository-url https://test.pypi.org/legacy/ dist/*
 
     # real pypi
-    twine upload dist/*
+    twine upload dist/*