- Changed `StartAnalyzer` return type to `AnalyzerId`.
- Added `APScheduler` to requirements.
- Updated `AnalyticsBackend` Dockerfile to set `JAVA_HOME`.
- Added `Alarms` topic in the Kafka class.

- Removed `AnalyzerAlarms` from the proto file.
- Moved Alarms functionality from Analytics Frontend to KpiValueAPI.

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

Frontend:
- `ResponseListener` will start with service deployment.

Backend:
- Added `GenerateCollectorTerminationSignal()` to inform the Frontend about the termination of a Collector.
- Updated `GenerateCollectorResponse()` to stream extracted `KpiValues` on the `topic_value` .
- Updated test file.

- Added the `GetKpiAlarms` method and `KpiAlarm` message in the proto file.
- Updated the client to handle the `GetKpiAlarms` method call.
- Implemented the `GetKpiAlarms` method (ResponseListener).
- Updated `ConvertValueToKpiValueType` to properly convert the value to the gRPC `KpiValueType` message.
- Updated test and messages files.

- Added `AnalyzerAlarms` message type in the Proto file.
- Changed the return type of `StartAnalyzer` to `AnalyzerAlarms`.

- 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.

- Added `KpiValue` message type in `AnalyticsFrontend.proto`.
- Changed `StartAnalyzer` response type from message to stream.
- Added `StartResponseListener()` call and response handler in the `StartAnalyzer` method.
- Implemented `ConvertValueToKpiValueType` to handle `OneOf` type conversion.
- Added tests to handle stream responses.

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

Fixing containerlab hackfest example

See merge request !236

Merge branch 'develop' of ssh://gifrerenom_labs.etsi.org/tfs/controller into feat/158-fixing-containerlab-lab-example

(CTTC) New Analytics Component

See merge request !261

Merge branch 'develop' of ssh://gifrerenom_labs.etsi.org/tfs/controller into feat/188-cttc-new-analytics-component

- Corrected Liveness/Readiness probes

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.

Resolve "Re-designing of Telemetry"

See merge request !258

Merge branch 'develop' of ssh://gifrerenom_labs.etsi.org/tfs/controller into feat/179-re-designing-of-telemetry

Resolve "KPI Management Enhancements"

See merge request !255

Merge branch 'develop' of ssh://gifrerenom_labs.etsi.org/tfs/controller into feat/178-kpi-management-enhancements

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.

Resolve "(TID) Add inventory NBI to WebUI"

See merge request !251

Merge branch 'feat/tid-add-inventory-nbi-to-webui' of ssh://gifrerenom_labs.etsi.org/tfs/controller into feat/173-tid-add-inventory-nbi-to-webui

Merge branch 'develop' of ssh://gifrerenom_labs.etsi.org/tfs/controller into feat/tid-add-inventory-nbi-to-webui

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.