Added VARBINARY Definition (#37)

* Linting edits

* Added VARBINARY Definition

* changed from sql_type to from_type

* added base64encoding

tap_mssql/client.py

@@ -8,6 +8,7 @@
 import json
 import datetime
 
+from base64 import b64encode
 from decimal import Decimal
 from uuid import uuid4
 from typing import Any, Dict, Iterable, Optional
@@ -30,13 +31,12 @@
 class mssqlConnector(SQLConnector):
     """Connects to the mssql SQL source."""
 
-    def __init__(self, config: dict | None = None, sqlalchemy_url: str | None = None) -> None:
-        """Initialize the mssqlConnector.
-
-        Args:
-            config: The parent tap or target object's config.
-            sqlalchemy_url: Optional URL for the connection.
-        """
+    def __init__(
+            self,
+            config: dict | None = None,
+            sqlalchemy_url: str | None = None
+         ) -> None:
+        """Class Default Init"""
         # If pyodbc given set pyodbc.pooling to False
         # This allows SQLA to manage to connection pool
         if config['driver_type'] == 'pyodbc':
@@ -77,7 +77,9 @@ def get_sqlalchemy_url(cls, config: dict) -> str:
             config_url = config_url.set(port=config['port'])
 
         if 'sqlalchemy_url_query' in config:
-            config_url = config_url.update_query_dict(config['sqlalchemy_url_query'])
+            config_url = config_url.update_query_dict(
+                config['sqlalchemy_url_query']
+                )
 
         return (config_url)
 
@@ -193,7 +195,9 @@ def hd_to_jsonschema_type(
         ):
             sql_type_name = from_type.__name__
         else:
-            raise ValueError("Expected `str` or a SQLAlchemy `TypeEngine` object or type.")
+            raise ValueError(
+                "Expected `str` or a SQLAlchemy `TypeEngine` object or type."
+             )
 
         # Add in the length of the
         if sql_type_name in ['CHAR', 'NCHAR', 'VARCHAR', 'NVARCHAR']:
@@ -223,6 +227,20 @@ def hd_to_jsonschema_type(
                 "contentMediaType": "application/xml",
             }
 
+        if sql_type_name in ['BINARY', 'IMAGE', 'VARBINARY']:
+            maxLength: int = getattr(from_type, 'length')
+            if getattr(from_type, 'length'):
+                return {
+                    "type": ["string"],
+                    "contentEncoding": "base64",
+                    "maxLength": maxLength
+                }
+            else:
+                return {
+                    "type": ["string"],
+                    "contentEncoding": "base64",
+                }
+
         # This is a MSSQL only DataType
         # SQLA does the converion from 0,1
         # to Python True, False
@@ -387,20 +405,70 @@ class mssqlStream(SQLStream):
     connector_class = mssqlConnector
     encoder_class = CustomJSONEncoder
 
-    def get_records(self, partition: Optional[dict]) -> Iterable[Dict[str, Any]]:
+    def post_process(
+        self,
+        row: dict,
+        context: dict | None = None,  # noqa: ARG002
+    ) -> dict | None:
+        """As needed, append or transform raw data to match expected structure.
+
+        Optional. This method gives developers an opportunity to "clean up" the results
+        prior to returning records to the downstream tap - for instance: cleaning,
+        renaming, or appending properties to the raw record result returned from the
+        API.
+
+        Developers may also return `None` from this method to filter out
+        invalid or not-applicable records from the stream.
+
+        Args:
+            row: Individual record in the stream.
+            context: Stream partition or context dictionary.
+
+        Returns:
+            The resulting record dict, or `None` if the record should be excluded.
+        """
+        # We change the name to record so when the change breaking
+        # change from row to record is done in SDK 1.0 the edits
+        # to accomidate the swithc will be two
+        record: dict = row
+
+        # Get the Stream Properties Dictornary from the Schema
+        properties: dict = self.schema.get('properties')
+
+        for key, value in record.items():
+            # Get the Item/Column property
+            property_schema: dict = properties.get(key)
+            # Encode base64 binary fields in the record
+            if property_schema.get('contentEncoding') == 'base64':
+                record.update({key: b64encode(value)})
+
+        return record
+
+    def get_records(
+            self,
+            partition: Optional[dict]
+         ) -> Iterable[Dict[str, Any]]:
         """Return a generator of record-type dictionary objects.
 
         Developers may optionally add custom logic before calling the default
         implementation inherited from the base class.
 
         Args:
-            partition: If provided, will read specifically from this data slice.
+            partition: If provided, will read only from this data slice.
 
         Yields:
             One dict per record.
         """
-
-        yield from super().get_records(partition)
+        # I took some of the get_records from the rest.py and added it
+        # here so I can edit the records in the post_process method
+        # before they are sent to the tap.
+        for record in super().get_records(partition):
+            transformed_record = self.post_process(record)
+            if transformed_record is None:
+                # Record filtered out during post_process()
+                continue
+            yield transformed_record
+        # yield from super().get_records(partition)
 
     def get_batches(
         self,