.gitignore

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

Dockerfile

@@ -1,66 +0,0 @@
-# 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

@@ -1,35 +0,0 @@
-# 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"