def test_DecodeFromJson(self):
""" Check decode from JSON format """
# Unit is only ever part of another structure, never alone.
# No need to explicitly test if Unit can be decoded from JSON
# Location is only ever part of another structure, never alone.
# No need to explicitly test if Unit can be decoded from JSON
datapoint = txpachube.Datapoint()
datapoint.decode(TEST_DATAPOINT_JSON,
format=txpachube.DataFormats.JSON)
datastream = txpachube.Datastream()
datastream.decode(TEST_DATASTREAM_JSON,
format=txpachube.DataFormats.JSON)
environment = txpachube.Environment()
environment.decode(TEST_FEED_JSON, format=txpachube.DataFormats.JSON)
environment_list = txpachube.EnvironmentList()
environment_list.decode(TEST_FEEDS_LIST_JSON,
format=txpachube.DataFormats.JSON)
trigger = txpachube.Trigger()
trigger.decode(TEST_TRIGGER_JSON, format=txpachube.DataFormats.JSON)
trigger_list = txpachube.TriggerList()
trigger_list.decode(TEST_TRIGGERS_LIST_JSON,
format=txpachube.DataFormats.JSON)
key = txpachube.Key()
key.decode(TEST_API_KEY_JSON, format=txpachube.DataFormats.JSON)
key_list = txpachube.KeyList()
key_list.decode(TEST_API_KEYS_LIST_JSON,
format=txpachube.DataFormats.JSON)
user = txpachube.User()
user.decode(TEST_USER_JSON, format=txpachube.DataFormats.JSON)
user_list = txpachube.UserList()
user_list.decode(TEST_USERS_LIST_JSON,
format=txpachube.DataFormats.JSON)
def test_EncodeToXml(self):
""" Check encode to XML format """
# This test performs a crude check to ensure the XML output
# is valid XML. Eventually it should be expanded to confirm
# the output content matches the values contained in local
# attributes.
unit_kwargs = {
txpachube.DataFields.Label: 'Celcius',
txpachube.DataFields.Type: txpachube.Unit.Basic_Si,
txpachube.DataFields.Symbol: "C"
}
unit = txpachube.Unit(**unit_kwargs)
unit_xml = unit.encode(txpachube.DataFormats.XML)
valid_xml = etree.fromstring(unit_xml)
location_kwargs = {
txpachube.DataFields.Disposition: txpachube.Location.Fixed,
txpachube.DataFields.Domain: txpachube.Location.Physical,
txpachube.DataFields.Elevation: "40",
txpachube.DataFields.Exposure: txpachube.Location.Indoor,
txpachube.DataFields.Latitude: 51.5235375648154,
txpachube.DataFields.Longitude: -0.0807666778564453,
txpachube.DataFields.Name: 'temp'
}
location = txpachube.Location(**location_kwargs)
location_xml = location.encode(txpachube.DataFormats.XML)
valid_xml = etree.fromstring(location_xml)
datapoint_kwargs = {
txpachube.DataFields.At: "2010-04-12T11:31:51.133782Z",
txpachube.DataFields.Value: "999"
}
datapoint = txpachube.Datapoint(**datapoint_kwargs)
datapoint_xml = datapoint.encode(txpachube.DataFormats.XML)
valid_xml = etree.fromstring(datapoint_xml)
datastream_kwargs = {
txpachube.DataFields.At: "2010-04-12T11:31:52.133782Z",
txpachube.DataFields.Current_Value: "27.0",
txpachube.DataFields.Datapoints: [datapoint_kwargs],
txpachube.DataFields.Id: 7021,
txpachube.DataFields.Maximum_Value: "35.8",
txpachube.DataFields.Minimum_Value: "15.9",
txpachube.DataFields.Tags: ['temp', 'Temperature', 'C'],
txpachube.DataFields.Unit: unit_kwargs,
txpachube.DataFields.Updated: "2010-04-12T11:31:51.133782Z"
}
datastream = txpachube.Datastream(**datastream_kwargs)
datastream_xml = datastream.encode(txpachube.DataFormats.XML)
valid_xml = etree.fromstring(datastream_xml)
env_inDict = json.loads(TEST_FEED_JSON)
environment = txpachube.Environment(**env_inDict)
environment_xml = environment.encode(txpachube.DataFormats.XML)
valid_xml = etree.fromstring(environment_xml)
envList_inDict = json.loads(TEST_FEEDS_LIST_JSON)
environment_list = txpachube.EnvironmentList(**envList_inDict)
environment_list_xml = environment_list.encode(
txpachube.DataFormats.XML)
valid_xml = etree.fromstring(environment_list_xml)
trigger_inDict = json.loads(TEST_TRIGGER_JSON)
trigger = txpachube.Trigger(**trigger_inDict)
trigger_xml = trigger.encode(txpachube.DataFormats.XML)
valid_xml = etree.fromstring(trigger_xml)
trigger_list_inDict = {
txpachube.DataFields.Datastream_Trigger:
json.loads(TEST_TRIGGERS_LIST_JSON)
}
trigger_list = txpachube.TriggerList(**trigger_list_inDict)
trigger_list_xml = trigger_list.encode(txpachube.DataFormats.XML)
valid_xml = etree.fromstring(trigger_list_xml)
key_inDict = json.loads(TEST_API_KEY_JSON)
key = txpachube.Key(**key_inDict)
key_xml = key.encode(txpachube.DataFormats.XML)
valid_xml = etree.fromstring(key_xml)
key_list_inDict = json.loads(TEST_API_KEYS_LIST_JSON)
key_list = txpachube.KeyList(**key_list_inDict)
key_list_xml = key_list.encode(txpachube.DataFormats.XML)
valid_xml = etree.fromstring(key_list_xml)
user_inDict = json.loads(TEST_USER_JSON)
user = txpachube.User(**user_inDict)
user_xml = user.encode(txpachube.DataFormats.XML)
valid_xml = etree.fromstring(user_xml)
user_list_inDict = {
txpachube.DataFields.Users: json.loads(TEST_USERS_LIST_JSON)
}
user_list = txpachube.UserList(**user_list_inDict)
user_list_xml = user_list.encode(txpachube.DataFormats.XML)
valid_xml = etree.fromstring(user_list_xml)
def test_Initialisation(self):
""" Check data structure initialisation """
# test no arguments
unit = txpachube.Unit()
location = txpachube.Location()
datapoint = txpachube.Datapoint()
datastream = txpachube.Datastream()
environment = txpachube.Environment()
environment_list = txpachube.EnvironmentList()
trigger = txpachube.Trigger()
trigger_list = txpachube.TriggerList()
key = txpachube.Key()
key_list = txpachube.KeyList()
user = txpachube.User()
user_list = txpachube.UserList()
# test expected keyword arguments
unit_kwargs = {
txpachube.DataFields.Label: 'Celcius',
txpachube.DataFields.Type: txpachube.Unit.Basic_Si,
txpachube.DataFields.Symbol: "C"
}
unit = txpachube.Unit(**unit_kwargs)
self.assertEqual(unit.label, unit_kwargs[txpachube.DataFields.Label],
"Unit label mismatch")
self.assertEqual(unit.type, unit_kwargs[txpachube.DataFields.Type],
"Unit type mismatch")
self.assertEqual(unit.symbol, unit_kwargs[txpachube.DataFields.Symbol],
"Unit symbol mismatch")
location_kwargs = {
txpachube.DataFields.Disposition: txpachube.Location.Fixed,
txpachube.DataFields.Domain: txpachube.Location.Physical,
txpachube.DataFields.Elevation: "40",
txpachube.DataFields.Exposure: txpachube.Location.Indoor,
txpachube.DataFields.Latitude: 51.5235375648154,
txpachube.DataFields.Longitude: -0.0807666778564453,
txpachube.DataFields.Name: 'temp'
}
location = txpachube.Location(**location_kwargs)
self.assertEqual(location.disposition,
location_kwargs[txpachube.DataFields.Disposition],
"Location disposition mismatch")
self.assertEqual(location.domain,
location_kwargs[txpachube.DataFields.Domain],
"Location domain mismatch")
self.assertEqual(location.exposure,
location_kwargs[txpachube.DataFields.Exposure],
"Location exposure mismatch")
self.assertEqual(location.ele,
location_kwargs[txpachube.DataFields.Elevation],
"Location elevation mismatch")
self.assertEqual(location.lat,
location_kwargs[txpachube.DataFields.Latitude],
"Location latitude mismatch")
self.assertEqual(location.lon,
location_kwargs[txpachube.DataFields.Longitude],
"Location longitude mismatch")
self.assertEqual(location.name,
location_kwargs[txpachube.DataFields.Name],
"Location name mismatch")
datapoint_kwargs = {
txpachube.DataFields.At: "2010-04-12T11:31:51.133782Z",
txpachube.DataFields.Value: "999"
}
datapoint = txpachube.Datapoint(**datapoint_kwargs)
self.assertEqual(datapoint.at,
datapoint_kwargs[txpachube.DataFields.At],
"Datapoint at mismatch")
self.assertEqual(datapoint.value,
datapoint_kwargs[txpachube.DataFields.Value],
"Datapoint value mismatch")
datastream_kwargs = {
txpachube.DataFields.At: "2010-04-12T11:31:52.133782Z",
txpachube.DataFields.Current_Value: "27.0",
txpachube.DataFields.Datapoints: [datapoint_kwargs],
txpachube.DataFields.Id: 7021,
txpachube.DataFields.Maximum_Value: "35.8",
txpachube.DataFields.Minimum_Value: "15.9",
txpachube.DataFields.Tags: ['temp', 'Temperature', 'C'],
txpachube.DataFields.Unit: unit_kwargs,
txpachube.DataFields.Updated: "2010-04-12T11:31:51.133782Z"
}
datastream = txpachube.Datastream(**datastream_kwargs)
self.assertEqual(datastream.at,
datastream_kwargs[txpachube.DataFields.At],
"Datastream at mismatch")
self.assertEqual(datastream.current_value,
datastream_kwargs[txpachube.DataFields.Current_Value],
"Datastream current value mismatch")
self.assertEqual(
len(datastream.datapoints),
len(datastream_kwargs[txpachube.DataFields.Datapoints]),
"Datastream datapoints count mismatch")
self.assertEqual(
datastream.datapoints[0].at, datastream_kwargs[
txpachube.DataFields.Datapoints][0][txpachube.DataFields.At],
"Datastream datapoints at mismatch")
self.assertEqual(
datastream.datapoints[0].value,
datastream_kwargs[txpachube.DataFields.Datapoints][0][
txpachube.DataFields.Value],
"Datastream datapoints value mismatch")
self.assertEqual(datastream.id,
datastream_kwargs[txpachube.DataFields.Id],
"Datastream id mismatch")
self.assertEqual(datastream.max_value,
datastream_kwargs[txpachube.DataFields.Maximum_Value],
"Datastream maimum value mismatch")
self.assertEqual(datastream.min_value,
datastream_kwargs[txpachube.DataFields.Minimum_Value],
"Datastream minimum value mismatch")
self.assertEqual(
datastream.unit.label, datastream_kwargs[txpachube.DataFields.Unit]
[txpachube.DataFields.Label], "Datastream Unit label mismatch")
self.assertEqual(
datastream.unit.type, datastream_kwargs[txpachube.DataFields.Unit][
txpachube.DataFields.Type], "Datastream Unit type mismatch")
self.assertEqual(
datastream.unit.symbol, datastream_kwargs[
txpachube.DataFields.Unit][txpachube.DataFields.Symbol],
"Datastream Unit symbol mismatch")
self.assertEqual(datastream.updated,
datastream_kwargs[txpachube.DataFields.Updated],
"Datastream updated mismatch")
env_inDict = json.loads(TEST_FEED_JSON)
environment = txpachube.Environment(**env_inDict)
self.assertEqual(environment.creator,
env_inDict[txpachube.DataFields.Creator],
"Environment creator mismatch")
self.assertEqual(len(environment.datastreams),
len(env_inDict[txpachube.DataFields.Datastreams]),
"Environment datastreams count mismatch")
datastream_01 = env_inDict[txpachube.DataFields.Datastreams][0]
datastream_01_key = datastream_01[txpachube.DataFields.Id]
environment_datastream_01 = environment.datastreams[datastream_01_key]
self.assertEqual(environment_datastream_01.at,
datastream_01[txpachube.DataFields.At],
"Environment datastreams[0].at mismatch")
self.assertEqual(environment_datastream_01.current_value,
datastream_01[txpachube.DataFields.Current_Value],
"Environment datastreams[0].value mismatch")
self.assertEqual(environment_datastream_01.id,
datastream_01[txpachube.DataFields.Id],
"Environment datastreams[0].id mismatch")
self.assertEqual(environment_datastream_01.max_value,
datastream_01[txpachube.DataFields.Maximum_Value],
"Environment datastreams[0].max_value mismatch")
self.assertEqual(environment_datastream_01.min_value,
datastream_01[txpachube.DataFields.Minimum_Value],
"Environment datastreams[0].min_value mismatch")
datastream_02 = env_inDict[txpachube.DataFields.Datastreams][1]
datastream_02_key = datastream_02[txpachube.DataFields.Id]
environment_datastream_02 = environment.datastreams[datastream_02_key]
self.assertEqual(environment_datastream_02.at,
datastream_02[txpachube.DataFields.At],
"Environment datastreams[1].at mismatch")
self.assertEqual(environment_datastream_02.current_value,
datastream_02[txpachube.DataFields.Current_Value],
"Environment datastreams[1].value mismatch")
self.assertEqual(environment_datastream_02.id,
datastream_02[txpachube.DataFields.Id],
"Environment datastreams[1].id mismatch")
self.assertEqual(environment_datastream_02.max_value,
datastream_02[txpachube.DataFields.Maximum_Value],
"Environment datastreams[1].max_value mismatch")
self.assertEqual(environment_datastream_02.min_value,
datastream_02[txpachube.DataFields.Minimum_Value],
"Environment datastreams[1].min_value mismatch")
self.assertEqual(environment.description,
env_inDict[txpachube.DataFields.Description],
"Environment description mismatch")
self.assertEqual(environment.feed,
env_inDict[txpachube.DataFields.Feed],
"Environment feed mismatch")
self.assertEqual(environment.icon,
env_inDict[txpachube.DataFields.Icon],
"Environment icon mismatch")
self.assertEqual(environment.id, env_inDict[txpachube.DataFields.Id],
"Environment id mismatch")
self.assertEqual(
environment.location.disposition,
env_inDict[txpachube.DataFields.Location][
txpachube.DataFields.Disposition],
"Environment Location disposition mismatch")
self.assertEqual(
environment.location.domain, env_inDict[
txpachube.DataFields.Location][txpachube.DataFields.Domain],
"Environment Location domain mismatch")
self.assertEqual(
environment.location.exposure, env_inDict[
txpachube.DataFields.Location][txpachube.DataFields.Exposure],
"Environment Location exposure mismatch")
self.assertEqual(
environment.location.ele, env_inDict[
txpachube.DataFields.Location][txpachube.DataFields.Elevation],
"Environment Location elevation mismatch")
self.assertEqual(
environment.location.lat, env_inDict[
txpachube.DataFields.Location][txpachube.DataFields.Latitude],
"Environment Location latitude mismatch")
self.assertEqual(
environment.location.lon, env_inDict[
txpachube.DataFields.Location][txpachube.DataFields.Longitude],
"Environment Location longitude mismatch")
self.assertEqual(
environment.location.name, env_inDict[
txpachube.DataFields.Location][txpachube.DataFields.Name],
"Environment Location name mismatch")
self.assertEqual(environment.private,
env_inDict[txpachube.DataFields.Private],
"Environment private mismatch")
self.assertEqual(environment.status,
env_inDict[txpachube.DataFields.Status],
"Environment status mismatch")
self.assertEqual(environment.tags,
env_inDict[txpachube.DataFields.Tags],
"Environment tags mismatch")
self.assertEqual(environment.title,
env_inDict[txpachube.DataFields.Title],
"Environment title mismatch")
self.assertEqual(environment.updated,
env_inDict[txpachube.DataFields.Updated],
"Environment updated mismatch")
self.assertEqual(environment.version,
env_inDict[txpachube.DataFields.Version],
"Environment version mismatch")
self.assertEqual(environment.website,
env_inDict[txpachube.DataFields.Website],
"Environment website mismatch")
envList_inDict = json.loads(TEST_FEEDS_LIST_JSON)
environment_list = txpachube.EnvironmentList(**envList_inDict)
trigger_inDict = json.loads(TEST_TRIGGER_JSON)
trigger = txpachube.Trigger(**trigger_inDict)
trigger_list_inDict = {
txpachube.DataFields.Datastream_Trigger:
json.loads(TEST_TRIGGERS_LIST_JSON)
}
trigger_list = txpachube.TriggerList(**trigger_list_inDict)
key_inDict = json.loads(TEST_API_KEY_JSON)
key = txpachube.Key(**key_inDict)
key_list_inDict = json.loads(TEST_API_KEYS_LIST_JSON)
key_list = txpachube.KeyList(**key_list_inDict)
user_inDict = json.loads(TEST_USER_JSON)
user = txpachube.User(**user_inDict)
user_list_inDict = {
txpachube.DataFields.Users: json.loads(TEST_USERS_LIST_JSON)
}
user_list = txpachube.UserList(**user_list_inDict)
trigger_list)
else:
logging.error("Problem occurred listing triggers")
except Exception, ex:
logging.error("Error retrieving trigger list: %s" % str(ex))
original_value = "50"
updated_value = "45"
new_trigger_id = None
# create a new trigger
try:
# feed id appears to want a int rather than a string.
trigger = txpachube.Trigger(
environment_id=new_feed_id,
stream_id=new_datastream_name,
threshold_value=original_value,
trigger_type="gt",
url="http://www.postbin.org/1ijyltn")
logging.info("Creating a new trigger with content:\n%s\n" %
trigger)
new_trigger_id = yield client.create_trigger(
api_key=user_api_key, data=trigger.encode())
if new_trigger_id:
logging.info(
"Success creating a new trigger. New trigger id is: %s"
% new_trigger_id)
else:
logging.error("Problem occurred creating new trigger")
except Exception, ex:
logging.error("Error creating a trigger: %s" % str(ex))