Added Google Fit backend

This commit is contained in:
Fabio Manganiello 2019-03-16 01:22:42 +01:00
parent 55c0896b31
commit 87d63d7cb3
4 changed files with 139 additions and 6 deletions

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@ -0,0 +1,88 @@
import time
from platypush.backend import Backend
from platypush.context import get_plugin
from platypush.message.event.google.fit import GoogleFitEvent
class GoogleFitBackend(Backend):
"""
This backend will listen for new Google Fit events (e.g. new weight/height
measurements, new fitness activities etc.) on the specified data streams and
fire an event upon new data.
Triggers:
* :class:`platypush.message.event.google.fit.GoogleFitEvent` when a new
data point is received on one of the registered streams.
Requires:
* The **google.fit** plugin
(:class:`platypush.plugins.google.fit.GoogleFitPlugin`) enabled.
* The **db** plugin (:class:`platypush.plugins.db`) configured
"""
_default_poll_seconds = 60
_default_user_id = 'me'
_last_timestamp_varname = '_GOOGLE_FIT_LAST_TIMESTAMP'
def __init__(self, data_sources, user_id=_default_user_id,
poll_seconds=_default_poll_seconds, *args, **kwargs):
"""
:param data_sources: Google Fit data source IDs to monitor. You can
get a list of the available data sources through the
:method:`platypush.plugins.google.fit.get_data_sources` action
:type data_sources: list[str]
:param user_id: Google user ID to track (default: 'me')
:type user_id: str
:param poll_seconds: How often the backend will query the data sources
for new data points (default: 60 seconds)
:type poll_seconds: float
"""
super().__init__(*args, **kwargs)
self.data_sources = data_sources
self.user_id = user_id
self.poll_seconds = poll_seconds
def run(self):
super().run()
self.logger.info('Started Google Fit backend on data sources {}'.format(
self.data_sources))
while not self.should_stop():
last_timestamp = float(get_plugin('variable').
get(self._last_timestamp_varname).output.
get(self._last_timestamp_varname)) or 0
for data_source in self.data_sources:
new_last_timestamp = last_timestamp
for dp in get_plugin('google.fit').get_data(
user_id=self.user_id, data_source_id=data_source).output:
dp_time = dp.get('startTime', 0)
if dp_time > last_timestamp:
self.bus.post(GoogleFitEvent(
user_id=self.user_id, data_source_id=data_source,
data_type=dp.get('dataTypeName'),
start_time=dp.get('startTime'),
end_time=dp.get('endTime'),
modified_time=dp.get('modifiedTime'),
values=dp.get('values')))
if dp_time > new_last_timestamp:
new_last_timestamp = dp_time
last_timestamp = new_last_timestamp
get_plugin('variable').set(**{
self._last_timestamp_varname: last_timestamp})
time.sleep(self.poll_seconds)
# vim:sw=4:ts=4:et:

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@ -0,0 +1,14 @@
from platypush.message.event import Event
class GoogleFitEvent(Event):
"""
Event triggered upon new Google Fit data points
"""
def __init__(self, data_source_id, values, *args, **kwargs):
super().__init__(*args, data_source_id=data_source_id, values=values,
**kwargs)
# vim:sw=4:ts=4:et:

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@ -1,5 +1,3 @@
from apiclient import discovery
from platypush.plugins import action
from platypush.plugins.google import GooglePlugin
@ -38,7 +36,7 @@ class GoogleFitPlugin(GooglePlugin):
return sources['dataSource']
@action
def get_data(self, data_source_id, user_id=None):
def get_data(self, data_source_id, user_id=None, limit=None):
"""
Get raw data for the specified data_source_id
@ -47,9 +45,42 @@ class GoogleFitPlugin(GooglePlugin):
"""
service = self.get_service(service='fitness', version='v1')
return service.users().dataSources().dataPointChanges() \
.list(dataSourceId=data_source_id, userId=user_id or self.user_id) \
.execute().get('insertedDataPoint', [])
kwargs = {
'dataSourceId': data_source_id,
'userId': user_id or self.user_id,
}
if limit:
kwargs['limit'] = limit
data_points = []
for data_point in service.users().dataSources().dataPointChanges(). \
list(**kwargs).execute().get('insertedDataPoint', []):
data_point['startTime'] = float(data_point.pop('startTimeNanos'))/1e9
data_point['endTime'] = float(data_point.pop('endTimeNanos'))/1e9
data_point['modifiedTime'] = float(data_point.pop('modifiedTimeMillis'))/1e6
values = []
for value in data_point.pop('value'):
if value.get('intVal') is not None:
value = value['intVal']
elif value.get('fpVal') is not None:
value = value['fpVal']
elif value.get('stringVal') is not None:
value = value['stringVal']
elif value.get('mapVal'):
value = {
v['key']: v['value'].get(
'intVal', v['value'].get(
'fpVal', v['value'].get('stringVal')))
for v in value['mapVal'] }
values.append(value)
data_point['values'] = values
data_points.append(data_point)
return data_points
# vim:sw=4:ts=4:et: