issue_comments: 1107863365

Tried this: pip install blacken-docs blacken-docs docs/*.rst git diff | pbcopy Got this: `diff diff --git a/docs/authentication.rst b/docs/authentication.rst index 0d98cf8..8008023 100644 --- a/docs/authentication.rst +++ b/docs/authentication.rst @@ -381,11 +381,7 @@ Authentication plugins can set signedds_actor`` cookies themselves like so: .. code-block:: python

 response = Response.redirect("/")

• response.set_cookie("ds_actor", datasette.sign({
• "a": {
• "id": "cleopaws"
• }
• }, "actor"))
• response.set_cookie("ds_actor", datasette.sign({"a": {"id": "cleopaws"}}, "actor"))

Note that you need to pass "actor" as the namespace to :ref:datasette_sign.

@@ -412,12 +408,16 @@ To include an expiry, add a "e" key to the cookie value containing a `base62 expires_at = int(time.time()) + (24 * 60 * 60)

 response = Response.redirect("/")

• response.set_cookie("ds_actor", datasette.sign({
• "a": {
• "id": "cleopaws"
• },
• "e": baseconv.base62.encode(expires_at),
• }, "actor"))
• response.set_cookie(
• "ds_actor",
• datasette.sign(
• {
• "a": {"id": "cleopaws"},
• "e": baseconv.base62.encode(expires_at),
• },
• "actor",
• ),
• )

The resulting cookie will encode data that looks something like this:

diff --git a/docs/spatialite.rst b/docs/spatialite.rst index d1b300b..556bad8 100644 --- a/docs/spatialite.rst +++ b/docs/spatialite.rst @@ -58,19 +58,22 @@ Here's a recipe for taking a table with existing latitude and longitude columns, .. code-block:: python

 import sqlite3

• conn = sqlite3.connect('museums.db') +
• conn = sqlite3.connect("museums.db") # Lead the spatialite extension: conn.enable_load_extension(True)
• conn.load_extension('/usr/local/lib/mod_spatialite.dylib')
• conn.load_extension("/usr/local/lib/mod_spatialite.dylib") # Initialize spatial metadata for this database:
• conn.execute('select InitSpatialMetadata(1)')
• conn.execute("select InitSpatialMetadata(1)") # Add a geometry column called point_geom to our museums table: conn.execute("SELECT AddGeometryColumn('museums', 'point_geom', 4326, 'POINT', 2);") # Now update that geometry column with the lat/lon points
• conn.execute('''
• conn.execute(
• """ UPDATE museums SET point_geom = GeomFromText('POINT('||"longitude"||' '||"latitude"||')',4326);
• ''')
• """

• ) # Now add a spatial index to that column conn.execute('select CreateSpatialIndex("museums", "point_geom");') # If you don't commit your changes will not be persisted: @@ -186,13 +189,14 @@ Here's Python code to create a SQLite database, enable SpatiaLite, create a plac .. code-block:: python

  import sqlite3 - conn = sqlite3.connect('places.db') + + conn = sqlite3.connect("places.db") # Enable SpatialLite extension conn.enable_load_extension(True) - conn.load_extension('/usr/local/lib/mod_spatialite.dylib') + conn.load_extension("/usr/local/lib/mod_spatialite.dylib") # Create the masic countries table - conn.execute('select InitSpatialMetadata(1)') - conn.execute('create table places (id integer primary key, name text);') + conn.execute("select InitSpatialMetadata(1)") + conn.execute("create table places (id integer primary key, name text);") # Add a MULTIPOLYGON Geometry column conn.execute("SELECT AddGeometryColumn('places', 'geom', 4326, 'MULTIPOLYGON', 2);") # Add a spatial index against the new column @@ -201,13 +205,17 @@ Here's Python code to create a SQLite database, enable SpatiaLite, create a plac from shapely.geometry.multipolygon import MultiPolygon from shapely.geometry import shape import requests - geojson = requests.get('https://data.whosonfirst.org/404/227/475/404227475.geojson').json() + + geojson = requests.get( + "https://data.whosonfirst.org/404/227/475/404227475.geojson" + ).json() # Convert to "Well Known Text" format - wkt = shape(geojson['geometry']).wkt + wkt = shape(geojson["geometry"]).wkt # Insert and commit the record - conn.execute("INSERT INTO places (id, name, geom) VALUES(null, ?, GeomFromText(?, 4326))", ( - "Wales", wkt - )) + conn.execute( + "INSERT INTO places (id, name, geom) VALUES(null, ?, GeomFromText(?, 4326))", + ("Wales", wkt), + ) conn.commit()

Querying polygons using within() diff --git a/docs/writing_plugins.rst b/docs/writing_plugins.rst index bd60a4b..5af01f6 100644 --- a/docs/writing_plugins.rst +++ b/docs/writing_plugins.rst @@ -18,9 +18,10 @@ The quickest way to start writing a plugin is to create a my_plugin.py file

 from datasette import hookimpl

+ @hookimpl def prepare_connection(conn): - conn.create_function('hello_world', 0, lambda: 'Hello world!') + conn.create_function("hello_world", 0, lambda: "Hello world!")

If you save this in plugins/my_plugin.py you can then start Datasette like this::

@@ -60,22 +61,18 @@ The example consists of two files: a setup.py file that defines the plugin:

 from setuptools import setup

• VERSION = '0.1'

• VERSION = "0.1"

  setup( - name='datasette-plugin-demos', - description='Examples of plugins for Datasette', - author='Simon Willison', - url='https://github.com/simonw/datasette-plugin-demos', - license='Apache License, Version 2.0', + name="datasette-plugin-demos", + description="Examples of plugins for Datasette", + author="Simon Willison", + url="https://github.com/simonw/datasette-plugin-demos", + license="Apache License, Version 2.0", version=VERSION, - py_modules=['datasette_plugin_demos'], - entry_points={ - 'datasette': [ - 'plugin_demos = datasette_plugin_demos' - ] - }, - install_requires=['datasette'] + py_modules=["datasette_plugin_demos"], + entry_points={"datasette": ["plugin_demos = datasette_plugin_demos"]}, + install_requires=["datasette"], )

And a Python module file, datasette_plugin_demos.py, that implements the plugin: @@ -88,12 +85,12 @@ And a Python module file, datasette_plugin_demos.py, that implements the plu

 @hookimpl
 def prepare_jinja2_environment(env):

• env.filters['uppercase'] = lambda u: u.upper()

• env.filters["uppercase"] = lambda u: u.upper()

  @hookimpl def prepare_connection(conn): - conn.create_function('random_integer', 2, random.randint) + conn.create_function("random_integer", 2, random.randint)

Having built a plugin in this way you can turn it into an installable package using the following command:: @@ -123,11 +120,13 @@ To bundle the static assets for a plugin in the package that you publish to PyPI

.. code-block:: python

• package_data={
• 'datasette_plugin_name': [
• 'static/plugin.js',
• ],
• },
• package_data = (
• {
• "datasette_plugin_name": [
• "static/plugin.js",
• ],
• },
• )

Where datasette_plugin_name is the name of the plugin package (note that it uses underscores, not hyphens) and static/plugin.js is the path within that package to the static file.

@@ -152,11 +151,13 @@ Templates should be bundled for distribution using the same package_data mec

.. code-block:: python

• package_data={
• 'datasette_plugin_name': [
• 'templates/my_template.html',
• ],
• },
• package_data = (
• {
• "datasette_plugin_name": [
• "templates/my_template.html",
• ],
• },
• )

You can also use wildcards here such as templates/*.html. See datasette-edit-schema <https://github.com/simonw/datasette-edit-schema>__ for an example of this pattern. ```