- In the BackendService.py:
     + Updated SparkStreamer call with new parameters.
- In SparkStreaming.py:
   + Added 'GetAggregerations' and 'ApplyThresholds' methods
   + Added 'window_size', 'win_slide_duration', 'time_stamp_col' and 'thresholds' parameters.
- Added new messages.
- Updated the 'RunSparkStreamer' call wth new parameters.

- SparkStreamer write Stream to Kafka topic ANALYTICS_RESPONSE.

- Added Kafka Request Listener to listen for requests from the Analytics Frontend.
- Updated `SparkStreamer.py` to consume and process streams from VALUE topics, and further filter rows based on KPIs in the `input_kpis` list.
- Updated the frontend TOPIC from `VALUE` to `ANALYTICS_REQUEST`.
- Updated messages to keep the KPI UUID consistent with the one generated by the Telemetry Backend service.

- Added CRDB secret.
- Added test script.
- Added `main` and `__init__.py` files.
- Added Backend Service file.
- Added Spark Streamer file (successfully consuming streams from Kafka Topics).
- Added Tests folder and files.
- Added requirements file.
- Added ANALYTICS Kafka topics in `common.tools.kafka.variables` file.