Fix docker

docs/install.rst

@@ -14,18 +14,17 @@ You also need to install optional dependencies, depending on the adapter you wan
 
 .. code-block:: bash
 
-    $ pip install 'shillelagh[console]'        # to use the CLI
-    $ pip install 'shillelagh[genericjsonapi]' # for Generic JSON
-    $ pip install 'shillelagh[genericxmlapi]'  # for Generic XML
-    $ pip install 'shillelagh[githubapi]'      # for GitHub
-    $ pip install 'shillelagh[gsheetsapi]'     # for GSheets
-    $ pip install 'shillelagh[htmltableapi]'   # for HTML tables
-    $ pip install 'shillelagh[pandasmemory]'   # for Pandas in memory
-    $ pip install 'shillelagh[s3selectapi]'    # for S3 files
-    $ pip install 'shillelagh[systemapi]'      # for CPU information
+    $ pip install 'shillelagh[console]'       # to use the CLI
+    $ pip install 'shillelagh[githubapi]'     # for GitHub
+    $ pip install 'shillelagh[gsheetsapi]'    # for GSheets
+    $ pip install 'shillelagh[htmltableapi]'  # for HTML tables
+    $ pip install 'shillelagh[pandasmemory]'  # for Pandas in memory
+    $ pip install 'shillelagh[s3selectapi]'   # for S3 files
+    $ pip install 'shillelagh[systemapi]'     # for CPU information
 
 Alternatively, you can install everything with:
 
 .. code-block:: bash
 
     $ pip install 'shillelagh[all]'
+~

docs/postgres.rst

@@ -14,10 +14,10 @@ To use the backend you need to:
 
 Note that you need to install Python packages in a way that they are available to the process running Postgres. You can either install them globally, or install them in a virtual environment and have it activated in the process that starts Postgres.
 
-The ``postgres/`` directory has a Docker configuration that can be used to test the backend, or as a basis for installation. To run it, enter the directory and execute:
+The ``postgres/`` directory has a Docker configuration that can be used to test the backend, or as a basis for installation. To run it, execute:
 
 .. code-block:: bash
 
-   docker compose up --build -d
+   docker compose -f postgres/docker-compose.yml up
 
 You should then be able to run the example script in `examples/postgres.py`_ to test that everything works.

examples/postgres.py

@@ -19,7 +19,7 @@
 # the backend uses psycopg2 under the hood, so any valid connection string for it will
 # work; just replace the scheme with `shillelagh+multicorn2`
 engine = create_engine(
-    "shillelagh+multicorn2://shillelagh:shillelagh123@localhost:12345/shillelagh",
+    "shillelagh+multicorn2://shillelagh:shillelagh123@localhost:5432/shillelagh",
 )
 connection = engine.connect()
 

postgres/Dockerfile

@@ -10,10 +10,12 @@ USER root
 # Install system dependencies
 RUN apt-get update && apt-get install -y \
     build-essential \
+    git \
     postgresql-server-dev-13 \
     python3 \
     python3-dev \
     python3-pip \
+    python3-venv \
     wget
 
 # Download, build, and install multicorn2
@@ -24,7 +26,13 @@ RUN wget https://github.com/pgsql-io/multicorn2/archive/refs/tags/v2.5.tar.gz &&
     make install
 
 
-RUN pip install -e '.[all]'
+# Create a virtual environment and install dependencies
+RUN python3 -m venv /code/venv && \
+    /code/venv/bin/pip install --upgrade pip && \
+    /code/venv/bin/pip install -e '.[all]'
+
+# Set environment variable for PostgreSQL to use the virtual environment
+ENV PATH="/code/venv/bin:$PATH"
 
 # Switch back to the default postgres user
 USER postgres

postgres/docker-compose.yml

@@ -2,15 +2,16 @@ version: '3.8'
 
 services:
   postgres:
-    build: .
+    build:
+      context: ..
+      dockerfile: postgres/Dockerfile
     environment:
       POSTGRES_PASSWORD: shillelagh123
       POSTGRES_USER: shillelagh
       POSTGRES_DB: shillelagh
     volumes:
       - db_data:/var/lib/postgresql/data
       - ./init.sql:/docker-entrypoint-initdb.d/init.sql:ro
-      - ..:/src
     ports:
       - "5432:5432"