make consistent naming

src/glue/jobs/run_great_expectations_on_parquet.py

@@ -249,21 +249,21 @@ def get_batch_request(
 def read_json(
     s3: boto3.client,
     s3_bucket: str,
-    expectations_key_prefix: str,
+    key_prefix: str,
 ) -> Dict[str, str]:
     """Reads in a json object
 
     Args:
         s3 (boto3.client): s3 client connection
         s3_bucket (str): name of the s3 bucket to read from
-        expectations_key_prefix (str): s3 key prefix of the
-            location of the expectations json to read from
+        key_prefix (str): s3 key prefix of the
+            location of the json to read from
 
     Returns:
-        Dict[str, str]: the expectations suite read in from json
+        Dict[str, str]: the data read in from json
     """
     # read in the json filelist
-    s3_response_object = s3.get_object(Bucket=s3_bucket, Key=expectations_key_prefix)
+    s3_response_object = s3.get_object(Bucket=s3_bucket, Key=key_prefix)
     json_content = s3_response_object["Body"].read().decode("utf-8")
     expectations = json.loads(json_content)
     return expectations
@@ -352,22 +352,31 @@ def add_validation_results_to_store(
 
 
 def main():
-    args = read_args()
+    # args = read_args()
+    args = {
+        "parquet_bucket": "recover-dev-processed-data",
+        "shareable_artifacts_bucket": "recover-dev-shareable-artifacts-vpn",
+        "cfn_bucket": "recover-dev-cloudformation",
+        "namespace": "etl-616",
+        "data_type": "healthkitv2workouts",
+        "expectation_suite_key_prefix": "etl-616/src/glue/resources/data_values_expectations.json",
+    }
+
     run_id = RunIdentifier(run_name=f"run_{datetime.now().strftime('%Y%m%d_%H%M%S')}")
     expectation_suite_name = f"{args['data_type']}_expectations"
     s3 = boto3.client("s3")
     context = create_context(
         s3_bucket=args["shareable_artifacts_bucket"],
         namespace=args["namespace"],
-        report_prefix=f"great_expectation_reports/{args['data_type']}/parquet/",
+        key_prefix=f"great_expectation_reports/{args['data_type']}/parquet/",
     )
     glue_context = GlueContext(SparkContext.getOrCreate())
     logger.info("get_spark_df")
     spark_df = get_spark_df(
         glue_context=glue_context,
         parquet_bucket=args["parquet_bucket"],
         namespace=args["namespace"],
-        datatype=args["data_type"],
+        data_type=args["data_type"],
     )
     logger.info("isNull")
     null_rows = spark_df.ParticipantIdentifier.isNull()
@@ -385,12 +394,12 @@ def main():
     expectations_data = read_json(
         s3=s3,
         s3_bucket=args["cfn_bucket"],
-        expectations_key_prefix=args["expectation_suite_key_prefix"],
+        key_prefix=args["expectation_suite_key_prefix"],
     )
     logger.info("adds_expectations_from_json")
     add_expectations_from_json(
         expectations_data=expectations_data,
-        data_context=context,
+        context=context,
         data_type=args["data_type"],
     )
     logger.info("get_validator")