class Trails(MongoModel):
"""
A model defining trails entity undertaken by hikers. It has embedded
comments which reference the hiker.
"""
trail_name = fields.CharField(max_length=100, required=True)
distance = fields.FloatField(max_value=50, required=True)
elevation = fields.FloatField(required=True)
route_type = fields.CharField(max_length=20,
choices=('Point to Point', 'Loop',
'Out and Back'),
required=True)
difficulty = fields.CharField(max_length=20,
choices=('Easy', 'Moderate', 'Difficult'),
required=True)
description = fields.CharField(max_length=600, required=True)
centrepoint = fields.PointField(required=False)
waypoints = fields.LineStringField(required=False)
image = fields.URLField(required=True)
embed_route = fields.CharField(max_length=800, required=True)
location = fields.ReferenceField(Location)
comments = fields.EmbeddedDocumentListField('Comment', required=False)
def __str__(self):
return self.trail_name
class GraphNode(MongoModel):
graph = fields.ReferenceField(Graph)
index = fields.IntegerField()
point = fields.PointField()
class Meta:
indexes = [IndexModel([('point', GEOSPHERE)])]
class Hospital(MongoModel):
name = fields.CharField()
location = fields.PointField()
city = fields.CharField()
state = fields.CharField()
avg_reported = fields.EmbeddedDocumentListField(DRGData)
avg_user = fields.EmbeddedDocumentListField(DRGData)
class Meta:
# Text index on content can be used for text search.
indexes = [IndexModel([('name', TEXT)]), IndexModel([('location', GEOSPHERE)])]
class Shop(MongoModel):
name = fields.CharField(blank=True)
location = fields.PointField(blank=True)
products = fields.EmbeddedDocumentListField(Product, blank=True)
address = fields.ReferenceField('Address', blank=True)
createdAt = fields.DateTimeField()
updatedAt = fields.DateTimeField(blank=True)
class Meta:
write_concern = WriteConcern(j=True)
connection_alias = 'kuro'
collection_name = 'shops'
class Article(MongoModel):
"""
Model example to work with Mongo DB
List of possible fields
https://pymodm.readthedocs.io/en/0.4.0/api/index.html#model-fields
"""
#_id = fields.ObjectIdField(primary_key=True)
truth = fields.BooleanField() # Mostly True / Mostly False
created = fields.DateTimeField(blank=True)
url = fields.URLField()
authors = fields.ListField(field=fields.CharField(), blank=True)
date = fields.DateTimeField(blank=True)
source = fields.CharField(blank=True)
tags = fields.ListField(field=fields.CharField(), blank=True)
location = fields.PointField(blank=True)
title = fields.CharField(blank=True)
text = fields.CharField(blank=True)
abstract = fields.CharField(blank=True)
keywords = fields.ListField(field=fields.CharField(), blank=True)
similar_to = fields.ListField(field=fields.ObjectIdField(), blank=True)
class Meta:
connection_alias = APP_DB
class Agents(MongoModel):
email = fields.EmailField(required=True)
password = fields.CharField(required=True)
name = fields.CharField(required=True)
primary_image = fields.URLField(required=True)
background_image = fields.URLField(required=True)
location = fields.PointField(required=True)
category = fields.CharField(required=True)
phone = fields.CharField(required=True)
feedback = fields.FloatField(blank=True)
totalreviews = fields.IntegerField(blank=True)
redeemptstoggle = fields.BooleanField(required=True)
starttime = fields.DateTimeField(required=True)
endtime = fields.DateTimeField(required=True)
#image url , offer template url , location , category , phone ,
#reward points , offers , punch cards , feedback , birthtday
created_at = fields.DateTimeField()
updated_at = fields.DateTimeField()
class Meta:
indexes = [
pymongo.IndexModel([('email', pymongo.ALL)],
name="AgentEmailUniqueIndex",
unique=True),
pymongo.IndexModel([("location", pymongo.GEOSPHERE)]),
pymongo.IndexModel([('name', pymongo.ALL),
('consumer_id', pymongo.ALL)],
name="NameIndex")
] # indexes
# asd= rest.objects.raw({'location': {'$near': SON([('$geometry', SON([('type', 'Point'), ('coordinates', [-122.406417,37.785834])])), ('$maxDistance', 500)])}})
# asd = rest.objects.raw({"location":{"$near": {"$geometry": {"type":"Point","coordinates":[-122.406417,37.785834]},"$maxDistance":500}}})
# for i in asd:
# print i._data