rtdip · rodalynbarce · May 15, 2023 · May 15, 2023 · May 15, 2023 · May 15, 2023
diff --git a/docs/sdk/code-reference/query/interpolate.md b/docs/sdk/code-reference/query/interpolate.md
@@ -18,8 +18,8 @@ parameters = {
     "data_security_level": "Security Level", 
     "data_type": "float", #options:["float", "double", "integer", "string"]
     "tag_names": ["tag_1", "tag_2"], #list of tags
-    "start_date": "2023-01-01", #start_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zzzz"
-    "end_date": "2023-01-31", #end_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zzzz"
+    "start_date": "2023-01-01", #start_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zz:zz"
+    "end_date": "2023-01-31", #end_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zz:zz"
     "sample_rate": "1", #numeric input
     "sample_unit": "hour", #options: ["second", "minute", "day", "hour"]
     "agg_method": "first", #options: ["first", "last", "avg", "min", "max"]

diff --git a/docs/sdk/code-reference/query/interpolation_at_time.md b/docs/sdk/code-reference/query/interpolation_at_time.md
@@ -18,7 +18,7 @@ parameters = {
     "data_security_level": "Security Level", 
     "data_type": "float", #options:["float", "double", "integer", "string"]
     "tag_names": ["tag_1", "tag_2"], #list of tags
-    "timestamps": ["2023-01-01"] #list of timestamps can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zzzz"
+    "timestamps": ["2023-01-01"] #list of timestamps can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zz:zz"
 }
 x = interpolation_at_time.get(connection, parameters)
 print(x)

diff --git a/docs/sdk/code-reference/query/raw.md b/docs/sdk/code-reference/query/raw.md
@@ -18,8 +18,8 @@ parameters = {
     "data_security_level": "Security Level", 
     "data_type": "float", #options:["float", "double", "integer", "string"]
     "tag_names": ["tag_1", "tag_2"], #list of tags
-    "start_date": "2023-01-01", #start_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zzzz"
-    "end_date": "2023-01-31", #end_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zzzz"
+    "start_date": "2023-01-01", #start_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zz:zz"
+    "end_date": "2023-01-31", #end_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zz:zz"
     "include_bad_data": True, #options: [True, False]
 }
 x = raw.get(connection, parameters)

diff --git a/docs/sdk/code-reference/query/resample.md b/docs/sdk/code-reference/query/resample.md
@@ -18,8 +18,8 @@ parameters = {
     "data_security_level": "Security Level", 
     "data_type": "float", #options:["float", "double", "integer", "string"]
     "tag_names": ["tag_1", "tag_2"], #list of tags
-    "start_date": "2023-01-01", #start_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zzzz"
-    "end_date": "2023-01-31", #end_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zzzz"
+    "start_date": "2023-01-01", #start_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zz:zz"
+    "end_date": "2023-01-31", #end_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zz:zz"
     "sample_rate": "1", #numeric input
     "sample_unit": "hour", #options: ["second", "minute", "day", "hour"]
     "agg_method": "first", #options: ["first", "last", "avg", "min", "max"]

diff --git a/docs/sdk/code-reference/query/time-weighted-average.md b/docs/sdk/code-reference/query/time-weighted-average.md
@@ -19,8 +19,8 @@ parameters = {
     "data_security_level": "Security Level", 
     "data_type": "float", #options:["float", "double", "integer", "string"]
     "tag_names": ["tag_1", "tag_2"], #list of tags
-    "start_date": "2023-01-01", #start_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zzzz"
-    "end_date": "2023-01-31", #end_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zzzz"
+    "start_date": "2023-01-01", #start_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zz:zz"
+    "end_date": "2023-01-31", #end_date can be a date in the format "YYYY-MM-DD" or a datetime in the format "YYYY-MM-DDTHH:MM:SS" or specify the timezone offset in the format "YYYY-MM-DDTHH:MM:SS+zz:zz"
     "window_size_mins": 15, #numeric input
     "window_length": 20, #numeric input
     "include_bad_data": True, #options: [True, False]

diff --git a/docs/sdk/queries/functions.md b/docs/sdk/queries/functions.md
@@ -22,6 +22,12 @@ The RTDIP SDK enables users to perform complex queries, including aggregation on
 
 - Interpolation Method - Forward Fill or Backward Fill
 
+### Interpolation at Time
+
+[Interpolation at Time](../code-reference/query/interpolation_at_time.md) - works out the linear interpolation at a specific time based on the points before and after. This is achieved by providing the following parameter:
+
+- Timestamps - A list of timestamp or timestamps
+
 ### Time Weighted Averages
 
 [Time Weighted Averages](../code-reference/query/time-weighted-average.md) provide an unbiased average when working with irregularly sampled data. The RTDIP SDK requires the following parameters to perform time weighted average queries:
@@ -45,6 +51,7 @@ The RTDIP SDK enables users to perform complex queries, including aggregation on
 ```python
 from rtdip_sdk.functions import resample
 from rtdip_sdk.functions import interpolate
+from rtdip_sdk.functions import interpolation_at_time
 from rtdip_sdk.functions import raw
 from rtdip_sdk.functions import time_weighted_average
 from rtdip_sdk.functions import metadata
@@ -58,6 +65,9 @@ from rtdip_sdk.functions import metadata
 #### Interpolate
     interpolate.get(connection, parameters_dict)
 
+#### Interpolation at Time
+    interpolation_at_time.get(connection, parameters_dict)
+
 #### Raw
     raw.get(connection, parameters_dict)
 

diff --git a/src/api/v1/common.py b/src/api/v1/common.py
@@ -40,8 +40,8 @@ def common_api_setup_tasks(base_query_parameters, metadata_query_parameters = No
 
     if raw_query_parameters != None:
         parameters = dict(parameters, **raw_query_parameters.__dict__)        
-        parameters["start_date"] = str(raw_query_parameters.start_date)
-        parameters["end_date"] = str(raw_query_parameters.end_date)
+        parameters["start_date"] = raw_query_parameters.start_date
+        parameters["end_date"] = raw_query_parameters.end_date
 
     if tag_query_parameters != None:
         parameters = dict(parameters, **tag_query_parameters.__dict__)

diff --git a/src/api/v1/models.py b/src/api/v1/models.py
@@ -115,8 +115,8 @@ def __init__(
         self,
         data_type: str = Query(..., description="Data Type"), 
         include_bad_data: bool = Query(..., description="Include or remove Bad data points"),
-        start_date: Union[date, datetime] = Query(..., description="Start Date in format YYYY-MM-DD or YYYY-MM-DDTHH:mm:ss or YYYY-MM-DDTHH:mm:ss+zzzz", examples={"2022-01-01": {"value": "2022-01-01"}, "2022-01-01T15:00:00": {"value": "2022-01-01T15:00:00"}, "2022-01-01T15:00:00+0000": {"value": "2022-01-01T15:00:00+0000"}}),
-        end_date: Union[date, datetime] = Query(..., description="End Date in format YYYY-MM-DD or YYYY-MM-DDTHH:mm:ss or YYYY-MM-DDTHH:mm:ss+zzzz", examples={"2022-01-02": {"value": "2022-01-02"}, "2022-01-01T16:00:00": {"value": "2022-01-01T16:00:00"}, "2022-01-01T15:00:00+0000": {"value": "2022-01-01T15:00:00+0000"}}),
+        start_date: Union[date, datetime] = Query(..., description="Start Date in format YYYY-MM-DD or YYYY-MM-DDTHH:mm:ss or YYYY-MM-DDTHH:mm:ss+zz:zz", examples={"2022-01-01": {"value": "2022-01-01"}, "2022-01-01T15:00:00": {"value": "2022-01-01T15:00:00"}, "2022-01-01T15:00:00+00:00": {"value": "2022-01-01T15:00:00+00:00"}}),
+        end_date: Union[date, datetime] = Query(..., description="End Date in format YYYY-MM-DD or YYYY-MM-DDTHH:mm:ss or YYYY-MM-DDTHH:mm:ss+zz:zz", examples={"2022-01-02": {"value": "2022-01-02"}, "2022-01-01T16:00:00": {"value": "2022-01-01T16:00:00"}, "2022-01-01T15:00:00+00:00": {"value": "2022-01-01T15:00:00+00:00"}}),
     ):
         self.data_type = data_type
         self.include_bad_data = include_bad_data
@@ -155,7 +155,7 @@ class InterpolationAtTimeQueryParams:
     def __init__(
         self,
         data_type: str = Query(..., description="Data Type"),
-        timestamps: List[Union[date, datetime]] = Query(..., description="Timestamps in format YYYY-MM-DD or YYYY-MM-DDTHH:mm:ss or YYYY-MM-DDTHH:mm:ss+zzzz", examples={"2022-01-01": {"value": "2022-01-01"}, "2022-01-01T15:00:00": {"value": "2022-01-01T15:00:00"}, "2022-01-01T15:00:00+0000": {"value": "2022-01-01T15:00:00+0000"}}), 
+        timestamps: List[Union[date, datetime]] = Query(..., description="Timestamps in format YYYY-MM-DD or YYYY-MM-DDTHH:mm:ss or YYYY-MM-DDTHH:mm:ss+zz:zz", examples={"2022-01-01": {"value": "2022-01-01"}, "2022-01-01T15:00:00": {"value": "2022-01-01T15:00:00"}, "2022-01-01T15:00:00+00:00": {"value": "2022-01-01T15:00:00+00:00"}}), 
     ):
         self.data_type = data_type
         self.timestamps = timestamps

diff --git a/src/api/v1/raw.py b/src/api/v1/raw.py
@@ -14,6 +14,7 @@
 
 
 import logging
+from logging import Logger
 from pandas.io.json import build_table_schema
 from fastapi import Query, HTTPException, Depends, Body
 import nest_asyncio

diff --git a/src/sdk/python/rtdip_sdk/functions/_query_builder.py b/src/sdk/python/rtdip_sdk/functions/_query_builder.py
@@ -38,9 +38,9 @@ def _parse_date(dt, is_end_date=False, exclude_date_format=False):
 
     if _is_date_format(dt, "%Y-%m-%d") and exclude_date_format == False:
         _time = "T23:59:59" if is_end_date == True else "T00:00:00"
-        return dt + _time + "+0000"
+        return dt + _time + "+00:00"
     elif _is_date_format(dt, "%Y-%m-%dT%H:%M:%S"):
-        return dt + "+0000"
+        return dt + "+00:00"
     elif _is_date_format(dt, "%Y-%m-%dT%H:%M:%S%z"):
         return dt
     elif _is_date_format(dt, "%Y-%m-%d%z"):

diff --git a/src/sdk/python/rtdip_sdk/functions/interpolate.py b/src/sdk/python/rtdip_sdk/functions/interpolate.py
@@ -35,8 +35,8 @@ def get(connection: object, parameters_dict: dict) -> pd.DataFrame:
         data_security_level (str): Level of data security 
         data_type (str): Type of the data (float, integer, double, string)
         tag_names (list): List of tagname or tagnames ["tag_1", "tag_2"]
-        start_date (str): Start date (Either a date in the format YY-MM-DD or a datetime in the format YYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zzzz)
-        end_date (str): End date (Either a date in the format YY-MM-DD or a datetime in the format YYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zzzz)
+        start_date (str): Start date (Either a date in the format YY-MM-DD or a datetime in the format YYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zz:zz)
+        end_date (str): End date (Either a date in the format YY-MM-DD or a datetime in the format YYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zz:zz)
         sample_rate (str): The resampling rate (numeric input)
         sample_unit (str): The resampling unit (second, minute, day, hour)
         agg_method (str): Aggregation Method (first, last, avg, min, max)

diff --git a/src/sdk/python/rtdip_sdk/functions/interpolation_at_time.py b/src/sdk/python/rtdip_sdk/functions/interpolation_at_time.py
@@ -15,7 +15,7 @@
 import logging
 import pandas as pd
 from datetime import datetime
-from src.sdk.python.rtdip_sdk.functions._query_builder import _query_builder
+from ._query_builder import _query_builder
 
 def get(connection: object, parameters_dict: dict) -> pd.DataFrame:
     '''
@@ -34,7 +34,7 @@ def get(connection: object, parameters_dict: dict) -> pd.DataFrame:
         data_security_level (str): Level of data security 
         data_type (str): Type of the data (float, integer, double, string)
         tag_names (str): Name of the tag
-        timestamps (list): List of timestamp or timestamps in the format YYY-MM-DDTHH:MM:SS or YYY-MM-DDTHH:MM:SS+zzzz where %z is the timezone. (Example +0000 is the UTC timezone)
+        timestamps (list): List of timestamp or timestamps in the format YYY-MM-DDTHH:MM:SS or YYY-MM-DDTHH:MM:SS+zz:zz where %z is the timezone. (Example +00:00 is the UTC timezone)
 
     Returns:
         DataFrame: A interpolated at time dataframe.

diff --git a/src/sdk/python/rtdip_sdk/functions/raw.py b/src/sdk/python/rtdip_sdk/functions/raw.py
@@ -38,8 +38,8 @@ def get(connection: object, parameters_dict: dict) -> pd.DataFrame:
         data_security_level (str): Level of data security
         data_type (str): Type of the data (float, integer, double, string)
         tag_names (list): List of tagname or tagnames ["tag_1", "tag_2"]
-        start_date (str): Start date (Either a date in the format YY-MM-DD or a datetime in the format YYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zzzz)
-        end_date (str): End date (Either a date in the format YY-MM-DD or a datetime in the format YYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zzzz)
+        start_date (str): Start date (Either a date in the format YY-MM-DD or a datetime in the format YYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zz:zz)
+        end_date (str): End date (Either a date in the format YY-MM-DD or a datetime in the format YYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zz:zz)
         include_bad_data (bool): Include "Bad" data points with True or remove "Bad" data points with False
 
     Returns:

diff --git a/src/sdk/python/rtdip_sdk/functions/resample.py b/src/sdk/python/rtdip_sdk/functions/resample.py
@@ -37,8 +37,8 @@ def get(connection: object, parameters_dict: dict) -> pd.DataFrame:
         data_security_level (str): Level of data security
         data_type (str): Type of the data (float, integer, double, string)
         tag_names (list): List of tagname or tagnames ["tag_1", "tag_2"]
-        start_date (str): Start date (Either a date in the format YY-MM-DD or a datetime in the format YYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zzzz)
-        end_date (str): End date (Either a date in the format YY-MM-DD or a datetime in the format YYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zzzz)
+        start_date (str): Start date (Either a date in the format YY-MM-DD or a datetime in the format YYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zz:zz)
+        end_date (str): End date (Either a date in the format YY-MM-DD or a datetime in the format YYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zz:zz)
         sample_rate (str): The resampling rate (numeric input)
         sample_unit (str): The resampling unit (second, minute, day, hour)
         agg_method (str): Aggregation Method (first, last, avg, min, max)

diff --git a/src/sdk/python/rtdip_sdk/functions/time_weighted_average.py b/src/sdk/python/rtdip_sdk/functions/time_weighted_average.py
@@ -37,8 +37,8 @@ def get(connection: object, parameters_dict: dict) -> pd.DataFrame:
         data_security_level (str): Level of data security 
         data_type (str): Type of the data (float, integer, double, string)
         tag_names (list): List of tagname or tagnames
-        start_date (str): Start date (Either a utc date in the format YYYY-MM-DD or a utc datetime in the format YYYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zzzz)
-        end_date (str): End date (Either a utc date in the format YYYY-MM-DD or a utc datetime in the format YYYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zzzz)
+        start_date (str): Start date (Either a utc date in the format YYYY-MM-DD or a utc datetime in the format YYYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zz:zz)
+        end_date (str): End date (Either a utc date in the format YYYY-MM-DD or a utc datetime in the format YYYY-MM-DDTHH:MM:SS or specify the timezone offset in the format YYYY-MM-DDTHH:MM:SS+zz:zz)
         window_size_mins (int): Window size in minutes
         window_length (int): (Optional) add longer window time for the start or end of specified date to cater for edge cases
         include_bad_data (bool): Include "Bad" data points with True or remove "Bad" data points with False

diff --git a/tests/sdk/python/rtdip_sdk/functions/test_interpolate.py b/tests/sdk/python/rtdip_sdk/functions/test_interpolate.py
@@ -27,7 +27,7 @@
 ACCESS_TOKEN = "mock_databricks_token"
 DATABRICKS_SQL_CONNECT = 'databricks.sql.connect'
 DATABRICKS_SQL_CONNECT_CURSOR = 'databricks.sql.connect.cursor'
-MOCKED_QUERY='SELECT a.EventTime, a.TagName, last_value(b.Value, true) OVER (PARTITION BY a.TagName ORDER BY a.EventTime ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS Value FROM (SELECT explode(sequence(from_utc_timestamp(to_timestamp(\'2011-01-01T00:00:00+0000\'), "+0000"), from_utc_timestamp(to_timestamp(\'2011-01-02T23:59:59+0000\'), "+0000"), INTERVAL \'1 hour\')) AS EventTime, explode(array(\'MOCKED-TAGNAME\')) AS TagName) a LEFT OUTER JOIN (SELECT DISTINCT TagName, w.start AS EventTime, avg(Value) OVER (PARTITION BY TagName, w.start ORDER BY EventTime ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) AS Value FROM (SELECT from_utc_timestamp(EventTime, "+0000") as EventTime, WINDOW(from_utc_timestamp(EventTime, "+0000"), \'1 hour\') w, TagName, Status, Value FROM mocked-buiness-unit.sensors.mocked-asset_mocked-data-security-level_events_mocked-data-type WHERE EventDate BETWEEN to_date(to_timestamp(\'2011-01-01T00:00:00+0000\')) AND to_date(to_timestamp(\'2011-01-02T23:59:59+0000\')) AND EventTime BETWEEN to_timestamp(\'2011-01-01T00:00:00+0000\') AND to_timestamp(\'2011-01-02T23:59:59+0000\') AND TagName in (\'MOCKED-TAGNAME\') AND Status = \'Good\')) b ON a.EventTime = b.EventTime AND a.TagName = b.TagName'
+MOCKED_QUERY='SELECT a.EventTime, a.TagName, last_value(b.Value, true) OVER (PARTITION BY a.TagName ORDER BY a.EventTime ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS Value FROM (SELECT explode(sequence(from_utc_timestamp(to_timestamp(\'2011-01-01T00:00:00+00:00\'), "+0000"), from_utc_timestamp(to_timestamp(\'2011-01-02T23:59:59+00:00\'), "+0000"), INTERVAL \'1 hour\')) AS EventTime, explode(array(\'MOCKED-TAGNAME\')) AS TagName) a LEFT OUTER JOIN (SELECT DISTINCT TagName, w.start AS EventTime, avg(Value) OVER (PARTITION BY TagName, w.start ORDER BY EventTime ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING ) AS Value FROM (SELECT from_utc_timestamp(EventTime, "+0000") as EventTime, WINDOW(from_utc_timestamp(EventTime, "+0000"), \'1 hour\') w, TagName, Status, Value FROM mocked-buiness-unit.sensors.mocked-asset_mocked-data-security-level_events_mocked-data-type WHERE EventDate BETWEEN to_date(to_timestamp(\'2011-01-01T00:00:00+00:00\')) AND to_date(to_timestamp(\'2011-01-02T23:59:59+00:00\')) AND EventTime BETWEEN to_timestamp(\'2011-01-01T00:00:00+00:00\') AND to_timestamp(\'2011-01-02T23:59:59+00:00\') AND TagName in (\'MOCKED-TAGNAME\') AND Status = \'Good\')) b ON a.EventTime = b.EventTime AND a.TagName = b.TagName'
 MOCKED_PARAMETER_DICT = {
         "business_unit": "mocked-buiness-unit",
         "region": "mocked-region",