Fix server, web app to reuse prebuilt deps on dev container setup

.devcontainer/Dockerfile

@@ -2,16 +2,19 @@ ARG PYTHON_VERSION=3.12
 FROM mcr.microsoft.com/devcontainers/python:${PYTHON_VERSION}
 
 # Install UV and Bun
-RUN curl -fsSL https://bun.sh/install | bash
+RUN curl -fsSL https://bun.sh/install | bash && mv /root/.bun/bin/bun /usr/local/bin/bun
 COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
 RUN uv python pin $PYTHON_VERSION
 # create python virtual environment
 RUN uv venv /opt/venv --python $PYTHON_VERSION --seed
-# Add venv, deno to PATH for subsequent RUN commands and for the container environment
+# Add venv to PATH for subsequent RUN commands and for the container environment
-ENV PATH="/opt/venv/bin:/root/.bun/bin:$PATH"
+ENV PATH="/opt/venv/bin:$PATH"
+# Tell pip, uv to use this virtual environment
+ENV VIRTUAL_ENV="/opt/venv"
+ENV UV_PROJECT_ENVIRONMENT="/opt/venv"
 
 # Setup working directory
-WORKDIR /workspace
+WORKDIR /workspaces/khoj
 
 # --- Python Server App Dependencies ---
 # Copy files required for Python dependency installation.
@@ -19,22 +22,28 @@ COPY pyproject.toml README.md ./
 
 # Setup python environment
     # Use the pre-built torch cpu wheel
-ENV PIP_EXTRA_INDEX_URL="https://download.pytorch.org/whl/cpu" \
+ENV UV_INDEX="https://download.pytorch.org/whl/cpu" \
+    UV_INDEX_STRATEGY="unsafe-best-match" \
     # Avoid downloading unused cuda specific python packages
     CUDA_VISIBLE_DEVICES="" \
     # Use static version to build app without git dependency
-    VERSION=0.0.0
+    VERSION=0.0.0 \
+    # Use embedded db
+    USE_EMBEDDED_DB="True" \
+    PGSERVER_DATA_DIR="/opt/khoj_db"
 # Install Python dependencies from pyproject.toml in editable mode
 RUN sed -i "s/dynamic = \\[\"version\"\\]/version = \"$VERSION\"/" pyproject.toml && \
     uv sync --all-extras && \
+    # Save the lock file generated with correct Linux platform wheels
+    cp uv.lock /opt/uv.lock.linux && \
     chown -R vscode:vscode /opt/venv
 
 # --- Web App Dependencies ---
 # Copy web app manifest files
-COPY src/interface/web/package.json src/interface/web/bun.lock /tmp/web/
+COPY src/interface/web/package.json src/interface/web/bun.lock /opt/khoj_web/
 
 # Install web app dependencies
-RUN cd /tmp/web && bun install
+RUN cd /opt/khoj_web && bun install && chown -R vscode:vscode .
 
 # The .venv and node_modules are now populated in the image.
 # The rest of the source code will be mounted by VS Code from your local checkout,

scripts/dev_setup.sh

@@ -24,30 +24,17 @@ if [ "$DEVCONTAINER" = true ]; then
     # Use devcontainer launch.json
     mkdir -p .vscode && cp .devcontainer/launch.json .vscode/launch.json
 
-    # Activate the pre-installed venv (no need to create new one)
+    # Install Server App using pre-installed dependencies
-    echo "Using Python environment at /opt/venv"
+    echo "Setup Server App with UV. Use pre-installed dependencies in $UV_PROJECT_ENVIRONMENT."
-    # PATH should already include /opt/venv/bin from Dockerfile
+    sed -i "s/dynamic = \\[\"version\"\\]/version = \"$VERSION\"/" pyproject.toml
-
+    cp /opt/uv.lock.linux uv.lock
-    # Install khoj in editable mode (dependencies already installed)
-    # Use uv if available, else fall back to pipx
-    if command -v uv &> /dev/null
-    then
     uv sync --all-extras
-    else
-        python3 -m pip install -e '.[dev]'
-    fi
 
     # Install Web App using cached dependencies
-    echo "Installing Web App using cached dependencies..."
+    echo "Setup Web App with Bun. Use pre-installed dependencies in /opt/khoj_web."
     cd "$PROJECT_ROOT/src/interface/web"
-    if command -v bun &> /dev/null
+    ln -sf /opt/khoj_web/node_modules node_modules
-    then
-        echo "using Bun."
     bun install && bun run ciexport
-    else
-        echo "using Yarn."
-        yarn install && yarn ciexport
-    fi
 else
     # Standard setup
     echo "Installing Server App..."