def test_display_map(client, first_sensor):
assert first_sensor is not None
display_map = DataPoint.display_map(client)
assert display_map is not None
readings = islice(first_sensor.timeseries(), 5)
for reading in readings:
values = [f(reading) for f in display_map.values()]
assert values is not None
def _live(client, id, **kwargs):
"""Get live timeseries readings"""
output_format = kwargs.get('format', client.format)
if output_format == "tabular":
raise ValueError("Tabular format is not supported for live " +
"readings. Try --format csv " +
"as the first argument")
resource = _fetch_resource(client, id, **kwargs)
timeseries = resource.timeseries(**kwargs)
mapping = DataPoint.display_map(client)
with cls.display_writer(client, mapping, **kwargs) as writer:
with closing(timeseries.live()) as live:
for data_point in live:
writer.write_resources([data_point], mapping)
def _live(client, id=None, mac=False, **kwargs):
"""Get live timeseries readings."""
output_format = kwargs.get('format', client.format)
if output_format == "tabular":
raise ValueError("Tabular format is not supported for live " +
"readings. Try --format csv " +
"as the first argument")
resource = _fetch_resource(client, id, mac=mac)
timeseries = resource.timeseries(**kwargs)
mapping = DataPoint.display_map(client)
with cls.display_writer(client, mapping, **kwargs) as writer:
with closing(timeseries.live()) as live:
for data_point in live:
writer.write_resources([data_point], mapping)