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.

client-schedule.py

@@ -0,0 +1,42 @@
+from temporalio.client import Client, Schedule, ScheduleActionStartWorkflow, ScheduleSpec, ScheduleIntervalSpec
+import asyncio
+from datetime import timedelta
+
+seconds = 5
+
+
+async def main():
+    # Conecta ao servidor Temporal
+    client = await Client.connect("http://localhost:7233")
+
+    for i in range(1, 2):
+        # Define o agendamento para rodar a cada 5 segundos
+        schedule = Schedule(
+            action=ScheduleActionStartWorkflow(
+                'fake_data',  # Nome da classe do workflow no worker.py
+                # Argumento de entrada (ajuste conforme seu workflow)
+                {
+                    'topic': 'fake_data'
+                },
+                # ID que você define aqui
+                id=f"test-{i}-{seconds}",
+                task_queue="fake_data-queue",  # Deve coincidir com o worker
+            ),
+            spec=ScheduleSpec(
+                intervals=[ScheduleIntervalSpec(
+                    every=timedelta(seconds=seconds))]
+            ),
+        )
+
+        # Cria ou atualiza o schedule no Temporal
+        # ID único para o schedule
+        schedule_id = f"test-schedule-c-{i}-every-o-{seconds}s"
+        try:
+            await client.create_schedule(schedule_id, schedule)
+            print(
+                f"Schedule '{schedule_id}' criado com sucesso. Workflow rodará a cada {seconds} segundos.")
+        except Exception as e:
+            print(f"Erro ao criar o schedule: {e}")
+
+if __name__ == "__main__":
+    asyncio.run(main())