def get_time_series(self,
time_series,
query_string='',
shared_username=None,
shared_api_key=None):
"""Retrieves a time series.
The model parameter should be a string containing the
time series id or the dict returned by
create_time_series.
As a time series is an evolving object that is processed
until it reaches the FINISHED or FAULTY state, the function will
return a dict that encloses the time series
values and state info available at the time it is called.
If this is a shared time series, the username and
sharing api key must also be provided.
"""
check_resource_type(time_series,
TIME_SERIES_PATH,
message="A time series id is needed.")
time_series_id = get_time_series_id(time_series)
if time_series_id:
return self._get("%s%s" % (self.url, time_series_id),
query_string=query_string,
shared_username=shared_username,
shared_api_key=shared_api_key)
def create_forecast(self, time_series, input_data=None,
args=None, wait_time=3, retries=10):
"""Creates a new forecast.
"""
time_series_id = get_time_series_id(time_series)
resource_type = get_resource_type(time_series_id)
if resource_type == TIME_SERIES_PATH and time_series_id is not None:
check_resource(time_series_id,
query_string=TINY_RESOURCE,
wait_time=wait_time, retries=retries,
raise_on_error=True, api=self)
else:
raise Exception("A time series model id is needed to create a"
" forecast. %s found." % resource_type)
if input_data is None:
input_data = {}
create_args = {}
if args is not None:
create_args.update(args)
create_args.update({
"input_data": input_data})
if time_series_id is not None:
create_args.update({
"timeseries": time_series_id})
body = json.dumps(create_args)
return self._create(self.forecast_url, body,
verify=self.verify_prediction)
def create_forecast(self, time_series, input_data=None,
args=None, wait_time=3, retries=10):
"""Creates a new forecast.
"""
time_series_id = get_time_series_id(time_series)
resource_type = get_resource_type(time_series_id)
if resource_type == TIME_SERIES_PATH and time_series_id is not None:
check_resource(time_series_id,
query_string=TINY_RESOURCE,
wait_time=wait_time, retries=retries,
raise_on_error=True, api=self)
else:
raise Exception("A time series model id is needed to create a"
" forecast. %s found." % resource_type)
if input_data is None:
input_data = {}
create_args = {}
if args is not None:
create_args.update(args)
create_args.update({
"input_data": input_data})
if time_series_id is not None:
create_args.update({
"timeseries": time_series_id})
body = json.dumps(create_args)
return self._create(self.forecast_url, body,
verify=self.verify_prediction)
def delete_time_series(self, time_series):
"""Deletes a time series.
"""
check_resource_type(time_series, TIME_SERIES_PATH,
message="A time series id is needed.")
time_series_id = get_time_series_id(time_series)
if time_series_id:
return self._delete("%s%s" % (self.url, time_series_id))
def update_time_series(self, time_series, changes):
"""Updates a time series.
"""
check_resource_type(time_series,
TIME_SERIES_PATH,
message="A time series id is needed.")
time_series_id = get_time_series_id(time_series)
if time_series_id:
body = json.dumps(changes)
return self._update("%s%s" % (self.url, time_series_id), body)
def update_time_series(self, time_series, changes):
"""Updates a time series.
"""
check_resource_type(time_series, TIME_SERIES_PATH,
message="A time series id is needed.")
time_series_id = get_time_series_id(
time_series)
if time_series_id:
body = json.dumps(changes)
return self._update(
"%s%s" % (self.url, time_series_id), body)
def get_time_series(self, time_series, query_string='',
shared_username=None, shared_api_key=None):
"""Retrieves a time series.
The model parameter should be a string containing the
time series id or the dict returned by
create_time_series.
As a time series is an evolving object that is processed
until it reaches the FINISHED or FAULTY state, the function will
return a dict that encloses the time series
values and state info available at the time it is called.
If this is a shared time series, the username and
sharing api key must also be provided.
"""
check_resource_type(time_series, TIME_SERIES_PATH,
message="A time series id is needed.")
time_series_id = get_time_series_id(
time_series)
if time_series_id:
return self._get("%s%s" % (self.url, time_series_id),
query_string=query_string,
shared_username=shared_username,
shared_api_key=shared_api_key)
