Update workflow to use pyproject.toml and modify Dockerfile for UV integration

.github/workflows/base-image.yml

@@ -6,13 +6,13 @@ on:
     paths:
       - 'docker/DispatcharrBase'
       - '.github/workflows/base-image.yml'
-      - 'requirements.txt'
+      - 'pyproject.toml'
   pull_request:
     branches: [main, dev]
     paths:
       - 'docker/DispatcharrBase'
       - '.github/workflows/base-image.yml'
-      - 'requirements.txt'
+      - 'pyproject.toml'
   workflow_dispatch: # Allow manual triggering
 
 permissions:

.gitignore

@@ -19,4 +19,5 @@ debugpy*
 uwsgi.sock
 package-lock.json
 models
-.idea
+.idea
+uv.lock

docker/DispatcharrBase

@@ -1,8 +1,11 @@
 FROM lscr.io/linuxserver/ffmpeg:latest
 
 ENV DEBIAN_FRONTEND=noninteractive
+ENV UV_PROJECT_ENVIRONMENT=/dispatcharrpy
 ENV VIRTUAL_ENV=/dispatcharrpy
 ENV PATH="$VIRTUAL_ENV/bin:$PATH"
+ENV UV_COMPILE_BYTECODE=1
+ENV UV_LINK_MODE=copy
 
 # --- Install Python 3.13 and build dependencies ---
 # Note: Hardware acceleration (VA-API, VDPAU, NVENC) already included in base ffmpeg image
@@ -18,24 +21,28 @@ RUN apt-get update && apt-get install --no-install-recommends -y \
     vlc-bin vlc-plugin-base \
     build-essential gcc g++ gfortran libopenblas-dev libopenblas0 ninja-build
 
-# --- Create Python virtual environment ---
-RUN python3.13 -m venv $VIRTUAL_ENV && $VIRTUAL_ENV/bin/pip install --upgrade pip
+# --- Install UV ---
+COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
 
-# --- Install Python dependencies ---
-COPY requirements.txt /tmp/requirements.txt
-RUN $VIRTUAL_ENV/bin/pip install --no-cache-dir -r /tmp/requirements.txt && \
-    rm /tmp/requirements.txt
+# --- Create Python virtual environment and install dependencies ---
+WORKDIR /tmp/build
+COPY pyproject.toml /tmp/build/
+COPY version.py /tmp/build/
+COPY README.md /tmp/build/
+RUN uv sync --python 3.13 --no-cache --no-install-project --no-dev && \
+    rm -rf /tmp/build
+WORKDIR /
 
 # --- Build legacy NumPy wheel for old hardware (store for runtime switching) ---
-RUN $VIRTUAL_ENV/bin/pip install --no-cache-dir build && \
+RUN uv pip install --python $UV_PROJECT_ENVIRONMENT/bin/python --no-cache build pip && \
     cd /tmp && \
-    $VIRTUAL_ENV/bin/pip download --no-binary numpy --no-deps numpy && \
+    $UV_PROJECT_ENVIRONMENT/bin/python -m pip download --no-binary numpy --no-deps numpy && \
     tar -xzf numpy-*.tar.gz && \
     cd numpy-*/ && \
-    $VIRTUAL_ENV/bin/python -m build --wheel -Csetup-args=-Dcpu-baseline="none" -Csetup-args=-Dcpu-dispatch="none" && \
+    $UV_PROJECT_ENVIRONMENT/bin/python -m build --wheel -Csetup-args=-Dcpu-baseline="none" -Csetup-args=-Dcpu-dispatch="none" && \
     mv dist/*.whl /opt/ && \
     cd / && rm -rf /tmp/numpy-* /tmp/*.tar.gz && \
-    $VIRTUAL_ENV/bin/pip uninstall -y build
+    uv pip uninstall --python $UV_PROJECT_ENVIRONMENT/bin/python build pip
 
 # --- Clean up build dependencies to reduce image size ---
 RUN apt-get remove -y build-essential gcc g++ gfortran libopenblas-dev libpcre3-dev python3.13-dev ninja-build && \

pyproject.toml

@@ -0,0 +1,56 @@
+[project]
+name = "dispatcharr"
+description = "Dispatcharr - Stream dispatching and management"
+readme = "README.md"
+license = "CC-BY-NC-SA-4.0"
+requires-python = ">=3.13"
+dynamic = ["version"]
+dependencies = [
+    "Django==5.2.9",
+    "psycopg2-binary==2.9.11",
+    "celery[redis]==5.6.0",
+    "djangorestframework==3.16.1",
+    "requests==2.32.5",
+    "psutil==7.1.3",
+    "pillow",
+    "drf-spectacular>=0.29.0",
+    "streamlink",
+    "python-vlc",
+    "yt-dlp",
+    "gevent==25.9.1",
+    "daphne",
+    "uwsgi",
+    "django-cors-headers",
+    "djangorestframework-simplejwt",
+    "m3u8",
+    "rapidfuzz==3.14.3",
+    "regex",
+    "tzlocal",
+    "pytz",
+    "torch==2.9.1+cpu",
+    "sentence-transformers==5.2.0",
+    "channels",
+    "channels-redis==4.3.0",
+    "django-filter",
+    "django-celery-beat",
+    "lxml==6.0.2",
+]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+# PyTorch CPU-only wheels index
+[[tool.uv.index]]
+url = "https://download.pytorch.org/whl/cpu"
+name = "pytorch-cpu"
+explicit = true
+
+[tool.uv.sources]
+torch = { index = "pytorch-cpu" }
+
+[tool.hatch.build.targets.wheel]
+packages = ["dispatcharr", "apps", "core"]
+
+[tool.hatch.version]
+path = "version.py"