def test_find(mongo_collection):
"""This test is kinda lame.
If I had more time I would play around with Ming, which provides an
in-memory instance of Mongo for testing.
"""
mongo_collection.find().limit.return_value = []
with mock.patch('parkit.db.dedupe') as dedupe:
db.find(
lat=mock.sentinel.LAT,
lng=mock.sentinel.LNG,
type=mock.sentinel.TYPE,
within=mock.sentinel.WITHIN,
limit=mock.sentinel.LIMIT,
collection=mongo_collection,
)
assert dedupe.called
mongo_collection.find.assert_called_with(
{
'loc': {
'$near': {
'$geometry': {
'coordinates': [mock.sentinel.LNG, mock.sentinel.LAT],
'type': 'Point'
},
'$maxDistance': mock.sentinel.WITHIN
}
},
'type': mock.sentinel.TYPE
},
{'_id': False}
)
def test_find(mongo_collection):
"""This test is kinda lame.
If I had more time I would play around with Ming, which provides an
in-memory instance of Mongo for testing.
"""
mongo_collection.find().limit.return_value = []
with mock.patch("parkit.db.dedupe") as dedupe:
db.find(
lat=mock.sentinel.LAT,
lng=mock.sentinel.LNG,
type=mock.sentinel.TYPE,
within=mock.sentinel.WITHIN,
limit=mock.sentinel.LIMIT,
collection=mongo_collection,
)
assert dedupe.called
mongo_collection.find.assert_called_with(
{
"loc": {
"$near": {
"$geometry": {"coordinates": [mock.sentinel.LNG, mock.sentinel.LAT], "type": "Point"},
"$maxDistance": mock.sentinel.WITHIN,
}
},
"type": mock.sentinel.TYPE,
},
{"_id": False},
)
def get_search():
schema = SearchRequestSchema()
try:
params = schema.deserialize(request.args.items())
except colander.Invalid:
# TODO: need more helpful errors here!
return abort(httplib.BAD_REQUEST)
results = db.find(**params)
return jsonify({'results': results})
def get_search():
schema = SearchRequestSchema()
try:
params = schema.deserialize(request.args.items())
except colander.Invalid:
# TODO: need more helpful errors here!
return abort(httplib.BAD_REQUEST)
results = db.find(**params)
return jsonify({'results': results})
