docker

Author: billlzzz18

.env.docker

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+# Docker Compose Environment
+COMPOSE_PROJECT_NAME=bl1nk-agent-builder
+ENVIRONMENT=development
+
+# Database
+POSTGRES_DB=bl1nk
+POSTGRES_USER=bl1nk_user
+POSTGRES_PASSWORD=bl1nk_password
+
+# Redis
+REDIS_PASSWORD=bl1nk_redis_password
+
+# Services
+FASTAPI_PORT=8000
+WORKER_PORT=8001
+UI_PORT=3000
+BRIDGE_PORT=8787

Dockerfile.worker

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+FROM python:3.11-slim
+
+# Set working directory
+WORKDIR /app
+
+# ให้ Python เห็น apps/worker เป็น root เพื่อให้ import "app...." ได้
+ENV PYTHONPATH="/app/apps/worker"
+
+# Install system dependencies (updated for slimmer image, includes git for possible dependencies)
+RUN apt-get update && apt-get install -y \
+    gcc \
+    g++ \
+    curl \
+    git \
+    libpq-dev \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY apps/worker/requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY . /app/
+
+# Create non-root user
+RUN useradd --create-home --shell /bin/bash app \
+    && chown -R app:app /app
+USER app
+
+# Expose port
+EXPOSE 8000
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
+    CMD curl -f http://localhost:8000/health || exit 1
+
+# Run application
+CMD ["uvicorn", "apps.worker.app.main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "1"]

apps/bridge/Dockerfile

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+FROM node:18-alpine
+
+WORKDIR /app
+
+# Copy package files (จาก context ./apps/bridge)
+COPY package*.json ./
+
+# ติดตั้ง dependencies แบบ production โดยไม่ใช้ npm ci (เพราะไม่มี package-lock)
+RUN npm install --only=production
+
+# Copy source code
+COPY src/ ./src/
+
+# Expose port
+EXPOSE 8787
+
+# ให้มี curl สำหรับ healthcheck
+RUN apk add --no-cache curl
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
+    CMD curl -f http://localhost:8787/health || exit 1
+
+# Run worker
+CMD ["npm", "start"]

apps/worker/app/models/bedrock_agentcore.py

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+from bedrock_agentcore.memory import MemorySessionManager
+from bedrock_agentcore.memory.constants import ConversationalMessage, MessageRole
+
+# Initialize the session manager
+manager = MemorySessionManager(
+    memory_id="your-memory-id",  # Use existing memory id
+    region_name="us-east-1"
+)
+
+# Create a session for a specific actor
+session = manager.create_memory_session(
+    actor_id="user-123",
+    session_id="session-456"  # Optional - will generate UUID if not provided
+)
+
+# Add conversation turns
+session.add_turns([
+    ConversationalMessage("I love eating apples and cherries", MessageRole.USER),
+    ConversationalMessage("Apples are very good for you!", MessageRole.ASSISTANT),
+    ConversationalMessage("What's your favorite thing about apples?", MessageRole.USER),
+    ConversationalMessage("I enjoy their flavor and nutritional benefits", MessageRole.ASSISTANT)
+])
+
+# Search long-term memories (after memory extraction has occurred)
+memories = session.search_long_term_memories(
+    query="what food does the user like",
+    namespace_prefix="/food/user-123",
+    top_k=5
+)
+
+# Or search across multiple users
+memories = manager.search_long_term_memories(
+    query="Food preferences",
+    namespace_prefix="/food/",  # Search all food-related memories
+    top_k=10
+)

infra/prometheus/prometheus.yml

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+global:
+  scrape_interval: 15s
+  evaluation_interval: 15s
+
+scrape_configs:
+  # Prometheus เอง
+  - job_name: 'prometheus'
+    static_configs:
+      - targets: ['prometheus:9090']
+
+  # FastAPI worker (ถ้ามี /metrics)
+  - job_name: 'worker'
+    metrics_path: /metrics
+    static_configs:
+      - targets: ['worker:8000']