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.

- Reverted an unintentional change made in the `tfs.sh` file.

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

**Frontend:**
- Deleted irrelevant lines.

**Backend:**
- Added `delete_db_row_by_id` in the Stop Collector method.

**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.

- UNSPECIFIED option added in the "AnalyzerOperationMode" enum as a best practice.
- In SparkStreamer, changed the thresholds parameter from optional to compulsory.

- parameters col added in DB
- parameters field added in Analytics.proto
- AnalyzerModel class methods changes
- changes in messages file

- Updated function names.

- 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 the missing `map<string, string>` in the `analytics_frontend.proto` file.
- Removed `pyspark` and `java` from the `requirements.in` file, as they are not required for the Frontend.

- 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.

- Created the Analytic Engine, Model, and DB files.
- Added the DB connection.
- Added `add_row_to_db` in `StartCollector`.
- Added `delete_db_row_by_id` in `StopCollector`.
- Improved message formatting.
- Added a DB test file.

- Actul logic is added in StartAnalyzer method.
- Actual logic is added in StopAnalyzer method.
- Improvements in message formats.

- Assignement number was incorrect, 5 was assigned twice.

- AnalyzerId is added in "Analyzer" message type.

- Unnecessary echo statements are removed from .gitlab-ci.yml file.
- "-e ALLOW_ANONYMOUS_LOGIN=yes" flag is added to allow unauthorized connection with the zookeeper.

- Created the CRDB secret (`crdb-telemetry`).
- Updated the IF conditions in the `$COMPONENT` deployment loop within the `tfs.sh` file according to telemetry service requirements.
- Added the `Telemetryservice.yaml` file to the manifest folder.
- Updated the CRDB URL in `TelemetryEngine.py`.
- Made a minor formatting change in `TelemetryModel.py`.

- src folder refernce is removed from header

- updated cmd in test file of KPI manager
- move kafka producer object to __init__ function.
- write JSON object to Kafka
-  Read JSON object from Kafka
- Slight to manage the affect of JSON object.
- Static methods are removed.

- tests file name is corrected.
- Telmetry frontend and backend requriements.in is updated

- Renamed the method to "KafkaKpiConsumer" to avoid conflict with the "KafkaConsumer" import in KpiApiWriter.
- Removed unnecessary imports in KpiWriterToProm.
- Added `get_service_port_grpc` call and imports in the Telemetry backend service.
- Added new libraries to `requirements.in` for Telemetry.

- GenericGrpcService inheritance is added in Telemetry backend class.
- Database folder were missing in working directory in DockerFile of Telemetry Frontend.

- start_http_server() call is move to main
- CollectorRegistory variable is removed

- src/$IMAGE_NAME/tests/Dockerfile is removed from API.
- -f is added in "docker rm -f zookeeper" and "docker rm -f kafka" in Writer file.

- docker run --name ... cmd missing (backend/frontend) after image name.

- docker build ... -target builder is removed

- TelemetryBackendService name and port is added in constants
- get_kafka_address() call added in TelemetryBackendService
- kafk topics test added in telemetrybackend test file
- get_kafka_address() call added in TelemetryBackendServiceImpl
- kafk topics test added in telemetryfrontend test file
- improvements in Telemetry gitlab-ci file
   + unit_test for telemetry backend and frontend added.
   + many other small changes

- Kafka deployment script is added in .gitlab-ci file
- call is changed to "get_kafka_address()" in KpiValueWriter.py

- Improvements in Kafka.variables files.
- In KpiValueApiServiceImpl corrected the call from "admin_client()" to "kafka_address()"

- In Kafka.variables files: get_kafka_address() and get_admin_client() is added.
- In KpiValueApiServerImpl Kafka Admin Client call is updated.
- Kafka deployment script is added.

- __main__ is added.
- DockerFile added.
- .gitlab-ci.yml file added.

- GenerateRawMetrics() add

- BackendService is restructured according to the design in report.
- ResponseListener is added in Frontend
- Improvements in test and messages files