Add support for new geojson fields, indexes and queries (#299)
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@@ -76,10 +76,13 @@ Fields
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.. autoclass:: mongoengine.fields.BinaryField
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.. autoclass:: mongoengine.fields.FileField
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.. autoclass:: mongoengine.fields.ImageField
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.. autoclass:: mongoengine.fields.GeoPointField
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.. autoclass:: mongoengine.fields.SequenceField
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.. autoclass:: mongoengine.fields.ObjectIdField
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.. autoclass:: mongoengine.fields.UUIDField
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.. autoclass:: mongoengine.fields.GeoPointField
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.. autoclass:: mongoengine.fields.PointField
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.. autoclass:: mongoengine.fields.LineStringField
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.. autoclass:: mongoengine.fields.PolygonField
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.. autoclass:: mongoengine.fields.GridFSError
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.. autoclass:: mongoengine.fields.GridFSProxy
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.. autoclass:: mongoengine.fields.ImageGridFsProxy
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@@ -4,6 +4,7 @@ Changelog
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Changes in 0.8.X
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================
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- Add support for new geojson fields, indexes and queries (#299)
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- If values cant be compared mark as changed (#287)
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- Ensure as_pymongo() and to_json honour only() and exclude() (#293)
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- Document serialization uses field order to ensure a strict order is set (#296)
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@@ -132,7 +132,11 @@ html_theme_path = ['_themes']
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html_use_smartypants = True
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# Custom sidebar templates, maps document names to template names.
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#html_sidebars = {}
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html_sidebars = {
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'index': ['globaltoc.html', 'searchbox.html'],
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'**': ['localtoc.html', 'relations.html', 'searchbox.html']
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}
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# Additional templates that should be rendered to pages, maps page names to
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# template names.
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@@ -1,8 +1,8 @@
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=============================
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Using MongoEngine with Django
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=============================
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==============
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Django Support
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==============
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.. note:: Updated to support Django 1.4
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.. note:: Updated to support Django 1.5
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Connecting
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==========
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@@ -499,6 +499,35 @@ in this case use 'dot' notation to identify the value to index eg: `rank.title`
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Geospatial indexes
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------------------
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The best geo index for mongodb is the new "2dsphere", which has an improved
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spherical model and provides better performance and more options when querying.
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The following fields will explicitly add a "2dsphere" index:
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- :class:`~mongoengine.fields.PointField`
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- :class:`~mongoengine.fields.LineStringField`
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- :class:`~mongoengine.fields.PolygonField`
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As "2dsphere" indexes can be part of a compound index, you may not want the
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automatic index but would prefer a compound index. In this example we turn off
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auto indexing and explicitly declare a compound index on ``location`` and ``datetime``::
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class Log(Document):
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location = PointField(auto_index=False)
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datetime = DateTimeField()
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meta = {
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'indexes': [[("location", "2dsphere"), ("datetime", 1)]]
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}
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Pre MongoDB 2.4 Geo
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'''''''''''''''''''
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.. note:: For MongoDB < 2.4 this is still current, however the new 2dsphere
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index is a big improvement over the previous 2D model - so upgrading is
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advised.
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Geospatial indexes will be automatically created for all
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:class:`~mongoengine.fields.GeoPointField`\ s
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@@ -65,6 +65,9 @@ Available operators are as follows:
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* ``size`` -- the size of the array is
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* ``exists`` -- value for field exists
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String queries
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--------------
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The following operators are available as shortcuts to querying with regular
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expressions:
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@@ -78,8 +81,71 @@ expressions:
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* ``iendswith`` -- string field ends with value (case insensitive)
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* ``match`` -- performs an $elemMatch so you can match an entire document within an array
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There are a few special operators for performing geographical queries, that
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may used with :class:`~mongoengine.fields.GeoPointField`\ s:
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Geo queries
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-----------
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There are a few special operators for performing geographical queries. The following
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were added in 0.8 for: :class:`~mongoengine.fields.PointField`,
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:class:`~mongoengine.fields.LineStringField` and
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:class:`~mongoengine.fields.PolygonField`:
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* ``geo_within`` -- Check if a geometry is within a polygon. For ease of use
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it accepts either a geojson geometry or just the polygon coordinates eg::
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loc.objects(point__geo_with=[[[40, 5], [40, 6], [41, 6], [40, 5]]])
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loc.objects(point__geo_with={"type": "Polygon",
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"coordinates": [[[40, 5], [40, 6], [41, 6], [40, 5]]]})
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* ``geo_within_box`` - simplified geo_within searching with a box eg::
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loc.objects(point__geo_within_box=[(-125.0, 35.0), (-100.0, 40.0)])
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loc.objects(point__geo_within_box=[<bottom left coordinates>, <upper right coordinates>])
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* ``geo_within_polygon`` -- simplified geo_within searching within a simple polygon eg::
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loc.objects(point__geo_within_polygon=[[40, 5], [40, 6], [41, 6], [40, 5]])
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loc.objects(point__geo_within_polygon=[ [ <x1> , <y1> ] ,
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[ <x2> , <y2> ] ,
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[ <x3> , <y3> ] ])
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* ``geo_within_center`` -- simplified geo_within the flat circle radius of a point eg::
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loc.objects(point__geo_within_center=[(-125.0, 35.0), 1])
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loc.objects(point__geo_within_center=[ [ <x>, <y> ] , <radius> ])
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* ``geo_within_sphere`` -- simplified geo_within the spherical circle radius of a point eg::
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loc.objects(point__geo_within_sphere=[(-125.0, 35.0), 1])
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loc.objects(point__geo_within_sphere=[ [ <x>, <y> ] , <radius> ])
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* ``geo_intersects`` -- selects all locations that intersect with a geometry eg::
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# Inferred from provided points lists:
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loc.objects(poly__geo_intersects=[40, 6])
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loc.objects(poly__geo_intersects=[[40, 5], [40, 6]])
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loc.objects(poly__geo_intersects=[[[40, 5], [40, 6], [41, 6], [41, 5], [40, 5]]])
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# With geoJson style objects
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loc.objects(poly__geo_intersects={"type": "Point", "coordinates": [40, 6]})
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loc.objects(poly__geo_intersects={"type": "LineString",
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"coordinates": [[40, 5], [40, 6]]})
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loc.objects(poly__geo_intersects={"type": "Polygon",
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"coordinates": [[[40, 5], [40, 6], [41, 6], [41, 5], [40, 5]]]})
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* ``near`` -- Find all the locations near a given point::
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loc.objects(point__near=[40, 5])
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loc.objects(point__near={"type": "Point", "coordinates": [40, 5]})
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You can also set the maximum distance in meters as well::
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loc.objects(point__near=[40, 5], point__max_distance=1000)
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The older 2D indexes are still supported with the
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:class:`~mongoengine.fields.GeoPointField`:
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* ``within_distance`` -- provide a list containing a point and a maximum
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distance (e.g. [(41.342, -87.653), 5])
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@@ -91,7 +157,9 @@ may used with :class:`~mongoengine.fields.GeoPointField`\ s:
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[(35.0, -125.0), (40.0, -100.0)])
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* ``within_polygon`` -- filter documents to those within a given polygon (e.g.
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[(41.91,-87.69), (41.92,-87.68), (41.91,-87.65), (41.89,-87.65)]).
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.. note:: Requires Mongo Server 2.0
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* ``max_distance`` -- can be added to your location queries to set a maximum
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distance.
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@@ -56,14 +56,16 @@ See the :doc:`changelog` for a full list of changes to MongoEngine and
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putting updates live in production **;)**
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.. toctree::
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:maxdepth: 1
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:numbered:
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:hidden:
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tutorial
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guide/index
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apireference
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django
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changelog
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upgrade
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django
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Indices and tables
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------------------
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