# ============================================================
# AgentDock Node Explore - Explore MCP Server
# ============================================================
# Advanced MCP server for search and web exploration:
# - Jina API web content extraction
# - Google SERP search integration
# - File reading and code execution
# 
# Version: 1.0.0
# ============================================================

FROM ubuntu:22.04

# Prevent interactive prompts during installation
ENV DEBIAN_FRONTEND=noninteractive

LABEL maintainer="AgentDock"
LABEL version="1.0.0"
LABEL description="AgentDock Node Explore - Search & Analysis MCP Server"

WORKDIR /app

# Configure apt mirror (use Aliyun mirror for faster downloads in China)
RUN sed -i 's/ports.ubuntu.com/mirrors.aliyun.com/g' /etc/apt/sources.list && \
    sed -i 's/archive.ubuntu.com/mirrors.aliyun.com/g' /etc/apt/sources.list

COPY . /app/

# Install base tools
RUN apt-get update && apt-get install -y \
    git curl wget bash net-tools \
    && apt-get clean && rm -rf /var/lib/apt/lists/*

# Install Miniconda (architecture-aware)
RUN ARCH=$(uname -m) && \
    if [ "$ARCH" = "x86_64" ]; then \
        wget https://repo.anaconda.com/miniconda/Miniconda3-py311_25.3.1-1-Linux-x86_64.sh -O /tmp/miniconda.sh; \
    elif [ "$ARCH" = "aarch64" ] || [ "$ARCH" = "arm64" ]; then \
        wget https://repo.anaconda.com/miniconda/Miniconda3-py310_25.3.1-1-Linux-aarch64.sh -O /tmp/miniconda.sh; \
    else \
        echo "Unsupported architecture: $ARCH"; exit 1; \
    fi && \
    bash /tmp/miniconda.sh -b -p /opt/conda && \
    rm /tmp/miniconda.sh

ENV PATH="/opt/conda/bin:$PATH"

# Configure conda
RUN conda init bash && \
    echo "conda activate mcp-agent" >> ~/.bashrc

# Install Node.js and npm
RUN apt-get update && apt-get install -y nodejs npm \
    && apt-get clean && rm -rf /var/lib/apt/lists/*

# Update Node.js to stable version
RUN npm install -g n && n stable && hash -r

# Install pnpm and TypeScript
RUN npm install -g pnpm typescript ts-node

# Install uv
RUN pip3 install uv

# =================== MCP Agent Environment ===================
# Create mcp-agent conda environment (Python 3.12)
RUN conda create -n mcp-agent python=3.12 -y && \
    echo 'conda activate mcp-agent' >> ~/.bashrc

SHELL ["/bin/bash", "-c"]

# Configure pip mirror (use Aliyun for faster downloads in China)
RUN mkdir -p ~/.pip && \
    echo '[global]' > ~/.pip/pip.conf && \
    echo 'index-url = https://mirrors.aliyun.com/pypi/simple/' >> ~/.pip/pip.conf && \
    echo 'trusted-host = mirrors.aliyun.com' >> ~/.pip/pip.conf

# Install mcp-agent base dependencies
RUN source /opt/conda/bin/activate mcp-agent && \
    pip install --resume-retries 20 \
        python-dotenv rich asyncio fastapi uvicorn docker PyYAML motor gunicorn beanie psutil tenacity jinja2 json5 mcp openai jsonschema toml \
        httpx httpx-sse sse-starlette \
    && echo "✅ mcp-agent base dependencies installed"

# Install document processing packages
RUN source /opt/conda/bin/activate mcp-agent && \
    pip install --resume-retries 20 \
        beautifulsoup4 lxml markdownify markitdown mammoth \
        pdfminer.six pdfplumber pypdf pypdfium2 camelot-py \
        python-pptx openpyxl xlrd xlsxwriter \
        pillow opencv-python-headless \
        tiktoken magika onnxruntime \
        SpeechRecognition pydub \
        azure-ai-documentintelligence azure-core azure-identity \
        numpy pandas tabulate regex \
        requests chardet defusedxml tqdm typer coloredlogs \
        youtube-transcript-api \
    && echo "✅ Document processing packages installed"

# =================== MCP Executor Environment ===================
# Create mcp-executor environment (Python 3.10) for code execution
RUN conda create -n mcp-executor python=3.10 -y

# Install mcp-executor base packages
RUN source /opt/conda/bin/activate mcp-executor && \
    pip install --resume-retries 20 \
        numpy pandas scipy matplotlib seaborn \
        PyPDF2 PyMuPDF pdfminer.six pdfplumber pypdfium2 \
        docx2txt python-docx python-pptx xlsxwriter \
        beautifulsoup4 lxml \
        geopy geopandas pyproj shapely pyshp \
        requests httpx curl_cffi \
    && echo "✅ mcp-executor base packages installed"

# Install scientific computing packages
RUN source /opt/conda/bin/activate mcp-executor && \
    pip install --resume-retries 20 \
        biopython pubchempy rdkit \
        CoolProp \
        python-chess chess stockfish \
        yfinance networkx \
        wbdata CensusData \
        selenium waybackpy googletrans \
        jsonlines pyld rdflib \
        dateparser peewee pillow tabulate \
    && echo "✅ Scientific computing packages installed"

# =================== MCP Servers Installation ===================

# Create necessary directories
RUN mkdir -p /app/code_storage /app/filesystem /app/shared_input /app/mcp_server_logs

# Install read-file-enhanced MCP server
RUN source /opt/conda/bin/activate mcp-agent && \
    cd /app/mcp_servers/read_file_enhanced && \
    pip install -e .

# Configure mcp_code_executor server (Node.js)
RUN source /opt/conda/bin/activate mcp-agent && \
    cd /app/mcp_servers/mcp_code_executor && \
    npm install && npm run build 

# Install search-mcp server
RUN source /opt/conda/bin/activate mcp-agent && \
    cd /app/mcp_servers/search-mcp && \
    pip install -e .

# =================== Environment Variables ===================

ENV PYTHONPATH=/app:${PYTHONPATH:-}
ENV CODE_STORAGE_DIR=/app/code_storage
ENV CONDA_ENV_NAME=mcp-executor
ENV UV_PATH=/usr/local/bin/uv

# Copy and configure entrypoint
COPY docker-entrypoint.sh /usr/local/bin/
RUN chmod +x /usr/local/bin/docker-entrypoint.sh

# Expose ports
# 8000: Main API server (FastAPI)
# 8088: Streamable HTTP MCP server
# 7780: Additional MCP services
EXPOSE 8000
EXPOSE 8088
EXPOSE 7780

# Use entrypoint script
ENTRYPOINT ["/usr/local/bin/docker-entrypoint.sh"]