SIENTIAPDE-1005

Implement workflows for fake data generation, scouter processing, and core scouter operations

- Added `FakeData` workflow to generate random data and send it to a Kafka topic.
- Implemented `Scouter` workflow to load data from Kafka and trigger the core scouter workflow.
- Created `CoreScouter` workflow to process data through quality gates, aggregation, and export to PostgreSQL.
- Developed comprehensive unit tests for activities and workflows, ensuring proper functionality and error handling.
- Enhanced Redis and Postgres activities with robust testing for data handling and error notifications.
- Introduced quality filters for data validation and implemented tests to verify their functionality.

.env

@@ -0,0 +1,20 @@
+POSTGRES_HOST=postgres
+POSTGRES_PORT=5432
+POSTGRES_USER=sientia
+POSTGRES_PASSWORD=sientia
+POSTGRES_DB=sientia
+POSTGRES_MIN_CONNECTIONS=5
+POSTGRES_MAX_CONNECTIONS=20
+
+KAFKA_BOOTSTRAP_SERVERS=kafka:29092
+KAFKA_POLLING_TIME=1000
+
+REDIS_HOST=redis
+REDIS_PORT=6379
+
+TEMPORAL_HOST=host.docker.internal:7233
+TEMPORAL_NAMESPACE=default
+
+LOG_LEVEL=INFO
+
+PROJECT_NAME=scouter