feat(docker): Dockerfile + compose (#27)

Lands Task 5.1.

.gitignore

@@ -15,6 +15,7 @@ dist/
 build/
 *.log
 /tmp/
+.claude/
 # uv
 # uv.lock is committed intentionally for reproducible builds.
 

Dockerfile

@@ -0,0 +1,66 @@
+# InfoXtractor container image.
+#
+# Base image ships CUDA 12.4 runtime libraries so the Surya OCR client can
+# use the RTX 3090 on the deploy host. Ubuntu 22.04 is the LTS used across
+# the home-server stack (immich-ml, monitoring) so GPU drivers line up.
+FROM nvidia/cuda:12.4.0-runtime-ubuntu22.04
+
+ENV DEBIAN_FRONTEND=noninteractive \
+    PYTHONUNBUFFERED=1 \
+    PYTHONDONTWRITEBYTECODE=1 \
+    PIP_NO_CACHE_DIR=1 \
+    PIP_DISABLE_PIP_VERSION_CHECK=1
+
+# --- System deps --------------------------------------------------------
+#   - python3.12 via deadsnakes PPA (pinned; Ubuntu 22.04 ships 3.10 only)
+#   - libmagic1  : python-magic backend for MIME sniffing
+#   - libgl1     : libGL.so needed by Pillow/OpenCV wheels used by Surya
+#   - libglib2.0 : shared by Pillow/PyMuPDF headless rendering
+#   - curl       : post-receive hook's /healthz probe & general ops
+#   - ca-certs   : httpx TLS verification
+RUN apt-get update \
+ && apt-get install -y --no-install-recommends \
+        software-properties-common \
+        ca-certificates \
+        curl \
+        gnupg \
+ && add-apt-repository -y ppa:deadsnakes/ppa \
+ && apt-get update \
+ && apt-get install -y --no-install-recommends \
+        python3.12 \
+        python3.12-venv \
+        python3.12-dev \
+        python3-pip \
+        libmagic1 \
+        libgl1 \
+        libglib2.0-0 \
+ && ln -sf /usr/bin/python3.12 /usr/local/bin/python \
+ && ln -sf /usr/bin/python3.12 /usr/local/bin/python3 \
+ && apt-get clean \
+ && rm -rf /var/lib/apt/lists/*
+
+# --- uv (dependency resolver used by the project) -----------------------
+RUN python -m pip install --upgrade pip \
+ && python -m pip install "uv>=0.4"
+
+WORKDIR /app
+
+# Copy just the dependency manifests first so the heavy `uv sync` layer
+# caches whenever only application code changes.
+COPY pyproject.toml uv.lock .python-version ./
+
+# Prod + OCR extras, no dev tooling. --frozen means "must match uv.lock";
+# CI catches drift before it reaches the image.
+RUN uv sync --frozen --no-dev --extra ocr
+
+# --- Application code ---------------------------------------------------
+COPY src src
+COPY alembic alembic
+COPY alembic.ini ./
+
+EXPOSE 8994
+
+# Migrations are idempotent (alembic upgrade head is a no-op on a current
+# DB) so running them on every start keeps the image + DB aligned without
+# an extra orchestration step.
+CMD ["sh", "-c", "uv run alembic upgrade head && uv run uvicorn ix.app:create_app --factory --host 0.0.0.0 --port 8994"]

docker-compose.yml

@@ -0,0 +1,35 @@
+# InfoXtractor Docker Compose stack.
+#
+# Single service. Postgres + Ollama live in separate long-running
+# containers on the host (postgis + ollama); we reach them via
+# `host.docker.internal`, which is mapped to the gateway through
+# `extra_hosts` so the container works whether the Compose plugin version
+# adds it automatically or not.
+#
+# The GPU reservation block matches the shape used by immich-ml /
+# monitoring on the same host, so the existing NVIDIA runtime
+# configuration applies without changes.
+
+services:
+  infoxtractor:
+    build: .
+    container_name: infoxtractor
+    restart: always
+    ports:
+      - "8994:8994"
+    env_file: .env
+    runtime: nvidia
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+    labels:
+      infrastructure.web_url: "http://192.168.68.42:8994"
+      backup.enable: "true"
+      backup.type: "postgres"
+      backup.name: "infoxtractor"
+    extra_hosts:
+      - "host.docker.internal:host-gateway"