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Dockerfile

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+FROM node:22-bullseye
+
+User root
+
+WORKDIR /app
+
+# +-- Install system tools including chromium (required by Playwright) and ffmpeg
+RUN apt-get update \
+ && apt-get install -y --no-install-recommends \
+      python3 python3-pip curl git wget make g++ \
+      chromium ffmpeg tini \
+      libgtk-3-0 libxtst6 libxcomposite1 libxrandr2 \
+      libnss3 libatk-bridge2.0-0 libgbm1 libasound2 libxss1 \
+      ca-certificates fonts-liberation \
+      libatk1.0-0 \
+      #libatk-1.0 \
+      libatk1.0-0 \
+      libxshmfence1 libxcursor1 \
+      libxdamage1 \
+      #ttf-freefont \
+ && rm -rf /var/lib/apt/lists/*
+
+# Update npm and globally install n8n (your original setup)
+RUN npm install -g npm@latest && npm install -g n8n@latest
+RUN npm install -g puppeteer
+
+# Add Playwright package and install all browsers + their native deps
+RUN npm install playwright && npx playwright install --with-deps 
+
+# If you only need specific browsers (saves size), you can do:
+#RUN npx playwright install chromium
+
+#RUN cd /usr/local/lib/node_modules/n8n && npm install n8n-nodes-puppeteer && npm install n8n-nodes-playwright
+
+EXPOSE 7860
+
+ENV PORT=7860 \
+    N8N_HOST=0.0.0.0 \
+    N8N_PORT=7860 \
+    N8N_LISTEN_ADDRESS=0.0.0.0 \
+    N8N_PROTOCOL=https \
+    N8N_EDITOR_BASE_URL=https://r1000-nnn.hf.space \
+    WEBHOOK_URL=https://r1000-nnn.hf.space \
+    N8N_DISABLE_UI=false \
+    N8N_BASIC_AUTH_ACTIVE=false \
+    N8N_METRICS=false \
+    N8N_DIAGNOSTICS_ENABLED=false \
+    NODE_ENV=production \
+    N8N_RUNNERS_ENABLED=true \
+    PUPPETEER_SKIP_CHROMIUM_DOWNLOAD=true \
+    PUPPETEER_EXECUTABLE_PATH=/usr/bin/chromium \
+    NODE_FUNCTION_ALLOW_EXTERNAL=puppeteer \
+    NODE_FUNCTION_ALLOW_BUILTIN=* \
+    N8N_RUNNERS_ALLOW_PROTOTYPE_MUTATION=true
+
+# keep your health-check or "keep-alive" cron alive (optional)
+RUN echo '#!/bin/sh\nwhile true; do curl -s https://r1000-nnn.hf.space/; sleep 43200; done &' > /periodic.sh \
+    && chmod +x /periodic.sh
+
+ENTRYPOINT ["tini", "--"]
+CMD ["/bin/sh", "-c", "/periodic.sh & exec n8n"]

Dockerfile_bak2

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+# ใช้ PostgreSQL เป็น base image
+FROM nikolaik/python-nodejs:python3.12-nodejs20
+
+# ตัวแปรสำหรับใช้ bust cache เพื่อไม่ใช้ cache ก่อนหน้านี้ และจะรันขั้นตอนทั้งหมดใหม่
+ARG CACHEBUST=222
+
+# กำหนด Environment Variables พื้นฐาน
+ENV WEBHOOK_URL=https://r1000-nnn.hf.space \
+    N8N_HOST=0.0.0.0 \
+    N8N_PORT=7860 \
+    N8N_PROTOCOL=https \
+    GENERIC_TIMEZONE=Asia/Bangkok \
+    N8N_METRICS=true \
+    QUEUE_HEALTH_CHECK_ACTIVE=true \
+    N8N_PAYLOAD_SIZE_MAX=256 \
+    VIRTUAL_ENV=/home/pn/venv \
+    PATH="/home/pn/venv/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:$PATH" \
+    QDRANT_HOST=http://localhost \
+    QDRANT_PORT=6333 \
+    QDRANT_VERSION=1.12.4 \
+    WAIT_TIMEOUT=30 \
+    N8N_LOG_LEVEL=info
+
+# ติดตั้งแพ็คเกจระบบที่จำเป็น
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    curl \
+    unzip \
+    gnupg \
+    build-essential \
+    sudo \
+    vim \
+    git \
+    procps \
+    lsof \
+    libemail-outlook-message-perl \
+    net-tools \
+    ca-certificates \
+    openssl \
+    tzdata \
+    htop \
+    jq \
+    netcat-openbsd \
+    chromium \
+    redis-server \
+    && ln -fs /usr/share/zoneinfo/Asia/Bangkok /etc/localtime \
+    && dpkg-reconfigure --frontend noninteractive tzdata \
+    \
+    # ดาวน์โหลดและติดตั้ง Qdrant แบบ precompiled
+    && cd /tmp \
+    && curl -L https://github.com/qdrant/qdrant/releases/download/v${QDRANT_VERSION}/qdrant-x86_64-unknown-linux-gnu.tar.gz -o qdrant.tar.gz \
+    && tar xvf qdrant.tar.gz \
+    && mv qdrant /usr/local/bin/ \
+    && rm qdrant.tar.gz \
+    \
+    # สร้างโฟลเดอร์สำหรับ config และข้อมูลของ Qdrant
+    && mkdir -p /home/pn/.n8n/qdrant/storage \
+    && mkdir -p /home/pn/.n8n/qdrant/config \
+    && mkdir -p /home/pn/.n8n/qdrant/snapshots \
+    && chown -R pn:pn /home/pn/.n8n/qdrant \
+    && chmod -R 755 /home/pn/.n8n/qdrant \
+    && mkdir -p /home/pn/.n8n \
+    && mkdir -p /home/pn/n8n \
+    && mkdir -p $VIRTUAL_ENV \
+    && chown -R pn:pn /home/pn/.n8n /home/pn/n8n $VIRTUAL_ENV \
+    \
+    # ทำความสะอาดเพื่อลดขนาด image
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/* \
+    \
+    # สร้าง virtual environment และติดตั้ง Python packages ที่จำเป็น
+    && python3 -m venv $VIRTUAL_ENV \
+    && $VIRTUAL_ENV/bin/pip install  --no-cache-dir --upgrade pip requests yt-dlp extract-msg \
+    \
+    # ติดตั้ง n8n และ pnpm
+    && npm install -g n8n@latest pnpm playwright puppeteer \
+    && playwright install --with-deps \
+    && npm cache clean --force
+
+# สำหรับดึง secret จาก Docker secrets)
+# RUN --mount=type=secret,id=POSTGRES_USER,mode=0444,required=true \
+#     --mount=type=secret,id=POSTGRES_PASSWORD,mode=0444,required=true \
+#     --mount=type=secret,id=POSTGRES_DB,mode=0444,required=true \
+#     --mount=type=secret,id=POSTGRESDB_HOST,mode=0444,required=true \
+#     echo "export DB_POSTGRESDB_HOST=$(cat /run/secrets/POSTGRESDB_HOST)" >> /home/pn/.env && \
+#     echo "export DB_POSTGRESDB_USER=$(cat /run/secrets/POSTGRES_USER)" >> /home/pn/.env && \
+#     echo "export DB_POSTGRESDB_PASSWORD=$(cat /run/secrets/POSTGRES_PASSWORD)" >> /home/pn/.env && \
+#     echo "export DB_POSTGRESDB_DATABASE=$(cat /run/secrets/POSTGRES_DB)" >> /home/pn/.env && \
+#     chown pn:pn /home/pn/.env
+
+# ตั้งค่าทำงานในโฟลเดอร์หลัก
+WORKDIR /home/pn/n8n
+
+# คัดลอก script และไฟล์ config เข้ามาใน image
+COPY --chown=pn:pn run.sh ./run.sh
+COPY --chown=pn:pn config/n8n_env.sh ./config/n8n_env.sh
+
+# ตั้งสิทธิ์ไฟล์ และสร้างโฟลเดอร์ข้อมูลของ n8n
+RUN chmod +x ./run.sh \
+    && mkdir -p /home/pn/.n8n \
+    && chown -R pn:pn /home/pn/.n8n \
+    && chown -R pn:pn /home/pn/n8n 
+
+# เปิดพอร์ตที่ใช้ให้เข้าถึงได้จากภายนอก
+EXPOSE 7860
+
+# เปลี่ยนผู้ใช้จาก root เป็นผู้ใช้ปกติ
+#USER pn
+USER root
+
+# กำหนด volume สำหรับเก็บข้อมูลของ n8n
+VOLUME ["/home/pn/.n8n"]
+
+# คำสั่งเริ่มต้นเมื่อ container รัน
+CMD ["./run.sh"]

Dockerfile_ubutu

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+# ใช้ base image ของ Ubuntu 22.04
+FROM ubuntu:22.04
+
+# ตั้งค่า Environment Variables
+# DEBIAN_FRONTEND=noninteractive เพื่อให้การติดตั้งแบบไม่ต้องถามตอบ
+# N8N_USER_FOLDER ระบุตำแหน่งเก็บข้อมูลของ n8n อย่างชัดเจน
+ENV DEBIAN_FRONTEND=noninteractive \
+    NODE_VERSION=20.x \
+    N8N_HOST=0.0.0.0 \
+    N8N_PORT=7860 \
+    GENERIC_TIMEZONE=Asia/Bangkok \
+    N8N_LOG_LEVEL=info \
+    N8N_USER_FOLDER=/root/.n8n
+
+# รวมขั้นตอนการติดตั้ง Dependencies, Node.js, และ n8n ไว้ในคำสั่ง RUN เดียว
+# เพื่อลดจำนวน Layer และขนาดของ Image
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        curl \
+        gnupg \
+        ca-certificates \
+        tzdata \
+        tini && \
+    # ตั้งค่า Timezone
+    ln -sf /usr/share/zoneinfo/${GENERIC_TIMEZONE} /etc/localtime && \
+    echo "${GENERIC_TIMEZONE}" > /etc/timezone && \
+    # ติดตั้ง Node.js (วิธีที่แนะนำในปัจจุบัน)
+    mkdir -p /etc/apt/keyrings && \
+    curl -fsSL https://deb.nodesource.com/gpgkey/nodesource-repo.gpg.key | gpg --dearmor -o /etc/apt/keyrings/nodesource.gpg && \
+    echo "deb [signed-by=/etc/apt/keyrings/nodesource.gpg] https://deb.nodesource.com/node_${NODE_VERSION} nodistro main" | tee /etc/apt/sources.list.d/nodesource.list && \
+    # ติดตั้ง Node.js และ n8n
+    apt-get update && \
+    apt-get install -y --no-install-recommends nodejs && \
+    npm install -g n8n@beta && \
+    # สร้าง Directory สำหรับเก็บข้อมูลของ n8n ตามที่ระบุใน ENV
+    mkdir -p ${N8N_USER_FOLDER} && \
+    # ล้างไฟล์ที่ไม่จำเป็นเพื่อลดขนาด Image [1]
+    apt-get clean && \
+    npm cache clean --force && \
+    rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
+
+# กำหนดพื้นที่จัดเก็บข้อมูลถาวร (Persistent Storage)
+VOLUME ["/root/.n8n"]
+
+# เปิด Port ที่ n8n ใช้งาน
+EXPOSE 7860
+
+# ใช้ tini เป็น init process เพื่อจัดการ process และ signal ภายใน container อย่างถูกต้อง [2, 5]
+ENTRYPOINT ["tini", "--"]
+
+# คำสั่งเริ่มต้นการทำงานของ n8n (ไม่ต้องมี "start")
+CMD ["n8n"]

README.md

@@ -1,10 +1,11 @@
----
-title: Nnn
-emoji: 🔥
-colorFrom: purple
-colorTo: red
-sdk: docker
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: Nnn
+emoji: 🐢
+colorFrom: purple
+colorTo: pink
+sdk: docker
+add_port: 7860
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

run.sh

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+#!/bin/bash
+set -eo pipefail
+
+# Import environment variables
+#source /home/pn/.env
+
+# Error handling function
+handle_error() {
+    echo "Error Line $1"
+    exit 1
+}
+trap 'handle_error $LINENO' ERR
+
+# Timeout processing function
+timeout_handler() {
+    echo "Timeout"
+    exit 1
+}
+
+# Generic function to wait for service readiness
+wait_for_service() {
+    local service=$1
+    local host=$2
+    local port=$3
+    local timeout=${4:-$WAIT_TIMEOUT}
+    
+    echo "Waiting for $service to be ready..."
+    local end=$((SECONDS + timeout))
+    
+    while [ $SECONDS -lt $end ]; do
+        if nc -z "$host" "$port" >/dev/null 2>&1; then
+            echo "$service is ready"
+            return 0
+        fi
+        echo "Trying to connect to $service at $host:$port..."
+        sleep 1
+    done
+    
+    echo "$service startup timed out"
+    exit 1
+}
+
+# Start Qdrant service
+start_qdrant() {
+    echo "Starting Qdrant server..."
+    
+    # Ensure directories exist and have correct permissions
+    # mkdir -p /home/pn/.n8n/qdrant/storage
+    # mkdir -p /home/pn/.n8n/qdrant/config
+    # mkdir -p /home/pn/.n8n/qdrant/snapshots
+    # mkdir -p /home/pn/.n8n/qdrant/logs
+    
+    # Set correct permissions
+    # chmod -R 755 /home/pn/.n8n/qdrant
+    # chown -R pn:pn /home/pn/.n8n/qdrant
+    
+    # Create Qdrant config file
+    cat > /home/pn/.n8n/qdrant/config/config.yaml <<EOF
+service:
+  host: 0.0.0.0
+  http_port: 6333
+  grpc_port: 6334
+  enable_cors: true
+  enable_tls: false
+  max_request_size_mb: 64
+  max_workers: 0
+storage:
+  storage_path: /home/pn/.n8n/qdrant/storage
+  snapshots_path: /home/pn/.n8n/qdrant/snapshots
+  on_disk_payload: true
+  
+  performance:
+    max_search_threads: 0
+    max_optimization_threads: 0
+    
+  optimizers:
+    deleted_threshold: 0.2
+    vacuum_min_vector_number: 1000
+    default_segment_number: 0
+    max_segment_size_kb: null
+    indexing_threshold_kb: 20000
+    flush_interval_sec: 5
+    
+  hnsw_index:
+    m: 16
+    ef_construct: 100
+    full_scan_threshold_kb: 10000
+    max_indexing_threads: 0
+    on_disk: false
+logger:
+  on_disk:
+    enabled: true
+    log_file: /home/pn/.n8n/qdrant/logs/qdrant.log
+    log_level: INFO
+telemetry_disabled: true
+EOF
+
+    # Ensure config file has correct permissions
+    chmod 644 /home/pn/.n8n/qdrant/config/config.yaml
+    
+    # Start Qdrant with the config file
+    qdrant --config-path /home/pn/.n8n/qdrant/config/config.yaml > /home/pn/.n8n/qdrant/logs/startup.log 2>&1 &
+    
+    # Wait for Qdrant to start
+    local timeout=30
+    local end=$((SECONDS + timeout))
+    
+    while [ $SECONDS -lt $end ]; do
+        if curl -s http://localhost:6333/health >/dev/null; then
+            echo "Qdrant server started successfully"
+            
+            # Create default collections
+            echo "Creating default collections..."
+            
+            # Create text vector collection (768 dimensions, suitable for most text embedding models)
+            curl -X PUT 'http://localhost:6333/collections/text_vectors' \
+                -H 'Content-Type: application/json' \
+                -d '{
+                    "vectors": {
+                        "size": 1024,
+                        "distance": "Cosine",
+                        "on_disk": true
+                    },
+                    "optimizers_config": {
+                        "default_segment_number": 2,
+                        "indexing_threshold": 20000,
+                        "memmap_threshold": 10000
+                    },
+                    "hnsw_config": {
+                        "m": 16,
+                        "ef_construct": 100,
+                        "full_scan_threshold": 10000,
+                        "max_indexing_threads": 0,
+                        "on_disk": true
+                    }
+                }'
+            
+            # Create image vector collection (512 dimensions, suitable for most image embedding models)
+            curl -X PUT 'http://localhost:6333/collections/image_vectors' \
+                -H 'Content-Type: application/json' \
+                -d '{
+                    "vectors": {
+                        "size": 512,
+                        "distance": "Cosine"
+                    },
+                    "optimizers_config": {
+                        "default_segment_number": 2,
+                        "indexing_threshold": 20000
+                    },
+                    "hnsw_config": {
+                        "m": 16,
+                        "ef_construct": 100,
+                        "full_scan_threshold": 10000
+                    }
+                }'
+            
+            # Create generic vector collection (1536 dimensions, suitable for OpenAI embedding models)
+            curl -X PUT 'http://localhost:6333/collections/openai_vectors' \
+                -H 'Content-Type: application/json' \
+                -d '{
+                    "vectors": {
+                        "size": 1536,
+                        "distance": "Cosine"
+                    },
+                    "optimizers_config": {
+                        "default_segment_number": 2,
+                        "indexing_threshold": 20000
+                    },
+                    "hnsw_config": {
+                        "m": 16,
+                        "ef_construct": 100,
+                        "full_scan_threshold": 10000
+                    }
+                }'
+                
+            # Verify collection creation status and output details
+            echo -e "\nVerifying collections:"
+            curl -s 'http://localhost:6333/collections' | jq '.'
+            
+            # Test connection
+            echo -e "\nTesting Qdrant connection:"
+            curl -v http://localhost:6333/health
+            
+            return 0
+        fi
+        echo "Waiting for Qdrant to start..."
+        sleep 1
+        
+        # Check for error logs
+        if grep -i "error" /home/pn/.n8n/qdrant/logs/startup.log >/dev/null 2>&1; then
+            echo "Error found in Qdrant logs:"
+            tail -n 10 /home/pn/.n8n/qdrant/logs/startup.log
+        fi
+    done
+    
+    echo "Failed to start Qdrant server"
+    echo "Last 10 lines of Qdrant log:"
+    tail -n 10 /home/pn/.n8n/qdrant/logs/startup.log
+    exit 1
+}
+
+# Check service status
+check_services() {
+    echo "Checking service status..."
+    
+    # Check Qdrant
+    echo "Qdrant status:"
+    if curl -s http://localhost:6333/metrics >/dev/null; then
+        echo "Qdrant is running normally"
+        curl -s http://localhost:6333/metrics
+        
+        # Display collection information
+        echo "Qdrant collection list:"
+        curl -s http://localhost:6333/collections
+    else
+        echo "Qdrant service is abnormal"
+        tail -n 10 /home/pn/.n8n/qdrant/qdrant.log
+    fi
+}
+
+# Main process
+main() {
+    current_time=$(date +"%Y-%m-%d %H:%M:%S")
+    echo "Starting services at $current_time"
+    
+    # Output configuration information
+    # echo "Database Configuration:"
+    # echo "Host: ${DB_POSTGRESDB_HOST}"
+    # echo "Port: ${DB_POSTGRESDB_PORT}"
+    # echo "User: ${DB_POSTGRESDB_USER}"
+    # echo "Database: ${DB_POSTGRESDB_DATABASE}"
+    # echo "Type: ${DB_TYPE}"
+    
+    # Start service
+    # wait_for_service "PostgreSQL" "${DB_POSTGRESDB_HOST}" "${DB_POSTGRESDB_PORT}"
+    # echo ""
+    # start_redis
+    # echo ""
+    start_qdrant
+    echo ""
+    check_services
+    
+    # Set N8N environment variables
+    source /home/pn/n8n/config/n8n_env.sh
+    
+    echo ""
+    echo "Starting n8n..."
+    exec n8n start
+}
+
+# Execute the main process
+main "$@"