kopia lustrzana https://github.com/simonw/datasette
Move pip/pipx to top of installation instructions
Less intimidating than Docker, hopefully.pull/763/head
rodzic
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@ -11,67 +11,7 @@ on to your machine, or you can install it using Docker.
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.. contents::
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Using Docker
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------------
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A Docker image containing the latest release of Datasette is published to Docker
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Hub here: https://hub.docker.com/r/datasetteproject/datasette/
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If you have Docker installed (for example with `Docker for Mac
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<https://www.docker.com/docker-mac>`_ on OS X) you can download and run this
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image like so::
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docker run -p 8001:8001 -v `pwd`:/mnt \
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datasetteproject/datasette \
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datasette -p 8001 -h 0.0.0.0 /mnt/fixtures.db
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This will start an instance of Datasette running on your machine's port 8001,
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serving the ``fixtures.db`` file in your current directory.
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Now visit http://127.0.0.1:8001/ to access Datasette.
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(You can download a copy of ``fixtures.db`` from
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https://latest.datasette.io/fixtures.db )
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To upgrade to the most recent release of Datasette, run the following::
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docker pull datasetteproject/datasette
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Loading Spatialite
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~~~~~~~~~~~~~~~~~~
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The ``datasetteproject/datasette`` image includes a recent version of the
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:ref:`SpatiaLite extension <spatialite>` for SQLite. To load and enable that
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module, use the following command::
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docker run -p 8001:8001 -v `pwd`:/mnt \
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datasetteproject/datasette \
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datasette -p 8001 -h 0.0.0.0 /mnt/fixtures.db \
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--load-extension=/usr/local/lib/mod_spatialite.so
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You can confirm that SpatiaLite is successfully loaded by visiting
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http://127.0.0.1:8001/-/versions
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Installing plugins
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~~~~~~~~~~~~~~~~~~
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If you want to install plugins into your local Datasette Docker image you can do
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so using the following recipe. This will install the plugins and then save a
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brand new local image called ``datasette-with-plugins``::
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docker run datasetteproject/datasette \
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pip install datasette-vega
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docker commit $(docker ps -lq) datasette-with-plugins
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You can now run the new custom image like so::
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docker run -p 8001:8001 -v `pwd`:/mnt \
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datasette-with-plugins \
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datasette -p 8001 -h 0.0.0.0 /mnt/fixtures.db
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You can confirm that the plugins are installed by visiting
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http://127.0.0.1:8001/-/plugins
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.. _installation_pip:
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Install using pip
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-----------------
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@ -98,6 +38,8 @@ You can now run Datasette like so::
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If you want to start making contributions to the Datasette project by installing a copy that lets you directly modify the code, take a look at our guide to :ref:`devenvironment`.
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.. _installation_pipx:
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Install using pipx
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------------------
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@ -184,3 +126,67 @@ To upgrade a plugin within the pipx environment use ``pipx runpip datasette inst
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"version": "0.6.2"
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}
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]
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.. _installation_docker:
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Using Docker
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------------
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A Docker image containing the latest release of Datasette is published to Docker
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Hub here: https://hub.docker.com/r/datasetteproject/datasette/
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If you have Docker installed (for example with `Docker for Mac
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<https://www.docker.com/docker-mac>`_ on OS X) you can download and run this
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image like so::
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docker run -p 8001:8001 -v `pwd`:/mnt \
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datasetteproject/datasette \
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datasette -p 8001 -h 0.0.0.0 /mnt/fixtures.db
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This will start an instance of Datasette running on your machine's port 8001,
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serving the ``fixtures.db`` file in your current directory.
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Now visit http://127.0.0.1:8001/ to access Datasette.
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(You can download a copy of ``fixtures.db`` from
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https://latest.datasette.io/fixtures.db )
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To upgrade to the most recent release of Datasette, run the following::
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docker pull datasetteproject/datasette
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Loading Spatialite
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~~~~~~~~~~~~~~~~~~
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The ``datasetteproject/datasette`` image includes a recent version of the
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:ref:`SpatiaLite extension <spatialite>` for SQLite. To load and enable that
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module, use the following command::
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docker run -p 8001:8001 -v `pwd`:/mnt \
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datasetteproject/datasette \
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datasette -p 8001 -h 0.0.0.0 /mnt/fixtures.db \
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--load-extension=/usr/local/lib/mod_spatialite.so
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You can confirm that SpatiaLite is successfully loaded by visiting
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http://127.0.0.1:8001/-/versions
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Installing plugins
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~~~~~~~~~~~~~~~~~~
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If you want to install plugins into your local Datasette Docker image you can do
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so using the following recipe. This will install the plugins and then save a
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brand new local image called ``datasette-with-plugins``::
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docker run datasetteproject/datasette \
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pip install datasette-vega
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docker commit $(docker ps -lq) datasette-with-plugins
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You can now run the new custom image like so::
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docker run -p 8001:8001 -v `pwd`:/mnt \
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datasette-with-plugins \
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datasette -p 8001 -h 0.0.0.0 /mnt/fixtures.db
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You can confirm that the plugins are installed by visiting
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http://127.0.0.1:8001/-/plugins
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