- Analytics backend Request listener will terminated incase topic doesn't exists.
- The GetAlrams() in KpiValueApi is updated to process the new resposne from daskstreamer.

- Replaced `SparkStreamer` class with `DaskStreamer` class.
- Updated methods to call the `DaskStreamer` class.
- Improved messages and test files.
- Added new package requirements.
- Made minor changes to the frontend `requirements` file.

- Added new tests in the `scripts` folder.
- Improved messages and test files across all services.
Telemetry and Analytics Backend:
- Added a `try` statement to handle Kafka message decoding errors.
Telemetry Frontend and KPI Value API:
- Downgraded `apscheduler` from `3.10.4` to `3.10.1` in the requirements file.
Kafka:
- Added a method to retrieve `KAFKA_SERVER_ADDRESS` from environment variables.
Telemetry Backend:
- Added a condition to allow the collector backend to run indefinitely.
- Changed the extracted `KpiValue` timestamp format to `"%Y-%m-%dT%H:%M:%SZ"` to meet Apache Spark requirements.
- Removed some unused packages from the `requirements.in` file.
Deployment Script:
- Added `"telemetry"` and `"analytics"` component names to the `TFS_COMPONENTS` variable in the `my_deploy.sh` file.

- "FAIL" is changed to "FALL" in Spark streamer.
- start() was missing in RequestListener call.
- updated test file in KpiValueAPI

- Corrected the name of `install_servicers()`.
- Removed `stop_event` from the `RequestedListener` call.
- Spark Streamer now writes to the `ALARMS` topic.
- Improved messages and test files.

- The `split` method has been added to correctly extract the aggregation method name from the dictionary.

Deployment Script
- Analytics is added in new montioring component to be deployed with TFS.
- condition is added in analytics component TFS deployment script.
- Analytics show logs files are added.
Manifest
- modifed KAFKA_ADVERTISED_LISTENERS with internal kafka service address in kafka.yml
- analyticsservice.yml added.
Analytics
- grpc service is added in backend
- Docker file for backend and frontend is added.
- main file is updaed
- small changes in requirements.in files
Kafka Variables
- get_kafka_address method logic is updated.

Backend:
- Updated the `StartSparkStreamer` function call to send `Analyzer_uuid` as the key for messages produced on the Kafka topic.
- Updated the `SparkStream` definition to receive the key and added the key to the `streamwriter` object.

Frontend:
- Integrated APScheduler to manage `StreamListener`.
- Added `ResponseListener` to consume messages from the `analytics_response_topic` and process them.
- Added APScheduler to manage StreamListener.
- Added "ResponseListener" to consumer messages from analytics response_topic and process it.

Proto:
- Added `Duration_s` field to the proto file.

Frontend:
- Added `SelectAnalyzer` logic.
- Improved message formatting in the `create_analyzer_filter()` function.
- Added a test case: `test_SelectAnalytics`.

Backend:
- Renamed the `RunSparkStreamer` method to `StartSparkStreamer`.
- Updated the `StartRequestListener` method to return `(thread, stop_event)`.
- Added a `StopRequestListener` method to stop the listener.

Database:
- Added the `select_with_filter` method with actual logic implementation.
- Updated the `ConvertRowToAnalyzer` method to correctly read the `operation_mode` ENUM value.

- Updated the position of the `stop_event` parameter.
- Added confirmation for pySpark checkpoint deletion.
- Added a PySpark termination script to handle the `StopCollector` event.

**Backend:**
- Added a dictionary to manage running analyzers.
- Implemented logic to manage running analyzers.
- Added the `TerminateAnalyzerBackend` method to handle analyzer termination.

**Frontend:**
- Modified and invoked the `PublishStopRequestOnKafka` method.

- Thresholds, window_size, window_slider is added in Frontend and Backend.

- 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.

- 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.

- Restored execute permissions

- Added/Updated headers
- Added script to update copyright headers

Common:
- added helper scripts

FrontEnd:
- corrected import paths
- added missing parameters in test
- refined creation of backend request

- initial skeleton (not functional)

- monitoring/test_monitoring.py: provides a basic testing skeleton
- monitoring/requirements.in/.txt: updated with pytest
- monitoring/genproto.py: added instructions to import generated Python modules using "from . import ..." instead of "import ..."; otherwise, pytest and other possible modules doing imports might complain.
- monitoring/monitoring_server.py: packed start_server and stop_server functionaity to simplify test definition, minor formattings, bug resolutions and improvements in package import.
- monitoring/monitoring_client.py: minor formattings, bug resolutions, and improvements in package import.