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.

Dockerfile

@@ -0,0 +1,31 @@
+# Use uma imagem base Python
+FROM python:3.11-slim
+
+# Instale git e outras dependências do sistema
+RUN apt-get update && apt-get install -y git \
+    && apt-get install -y build-essential python3-dev \
+    && apt-get install -y vim \
+    && rm -rf /var/lib/apt/lists/*
+
+# Defina o diretório de trabalho
+WORKDIR /app
+
+# Copie os arquivos do projeto
+COPY . /app
+
+RUN pip install --upgrade pip setuptools wheel
+
+# Install the required packages
+# Add github to known hosts
+# This is needed for SSH to work
+# The SSH key will NOT remain in the image
+# IMPORTANT: this block requires BuildKit
+# and the --ssh flag during docker build
+RUN --mount=type=ssh \
+    mkdir -p ~/.ssh && \
+    ssh-keyscan github.com >> ~/.ssh/known_hosts && \
+    pip install --no-cache-dir -r requirements.txt
+
+
+# Defina o comando para executar o worker
+CMD ["python", "-m", "scouter.worker.worker"]