from ..results import StudyResults
from ..participant_info import ParticipantInfo
from .functions import get_sanpedro_sensor_results, get_sanpedro_results_grouped, get_sanpedro_metadata_results
from .values import fitbit_values, fitbit_v2_values,\
alimentacion_values, patrones_minsal_2018_values,\
inbody_values, freestyle_librelink_values, holter_values
[docs]class SanPedroStudy:
"""
A study class. Has methods for getting the data of all the sensors and measures of the respective study.\
A study is defined as all the test ocurrences of a corresponding study type for all the participant.
"""
def __init__(self, connection):
self.connection = connection
participant_info = ParticipantInfo(connection)
self.participants = participant_info.get_participants(studies="SanPedro").astype("participant")
self.test_ids = [t.test_id for x in self.participants for t in x.studies["SanPedro"]]
def _create_get_sensor_method(collection_name):
def get_sensor_results(self, timestamp_start=None, timestamp_end=None, test_ids="all", values="all"):
"""
:return: an iterable with the query results
:rtype: pycpshealthcare.db.results.StudyResults
:param timestamp_start: Datetime start filter for query. If not specified query will bring results from start of records.
:type timestamp_start: datetime.datetime|None, optional
:param timestamp_end: Datetime start filter for query. If not specified query will bring results to end of records.
:type timestamp_end: datetime.datetime|None, optional
:param test_ids: The ids of the tests to be queried, defaults to "all" that brings data of all the test ids.
:type test_ids: int|list<int>|None, optional
:param values: The names (keys) of the values of the sensors to be returned by the query, defaults to "all" that brings
:type values: str|list<str>|None, optional
"""
if test_ids == "all":
test_ids = self.test_ids
else:
if str(test_ids).isnumeric():
test_ids = [int(test_ids)]
elif type(test_ids) == list:
test_ids = test_ids
collection = self.connection.collections["SanPedro"][collection_name]
return get_sanpedro_sensor_results(test_ids, collection, timestamp_start, timestamp_end, values)
return get_sensor_results
def _create_get_sensor_grouped_method(collection_name, sensor_values):
def get_sensor_results_grouped(self, timestamp_start=None, timestamp_end=None, test_ids="all", values="all", bin_size=60, bin_unit="minute"):
"""
:return: an iterable with the query results
:rtype: pycpshealthcare.db.results.StudyResults
:param timestamp_start: Datetime start filter for query. If not specified query will bring results from start of records.
:type timestamp_start: datetime.datetime|None, optional
:param timestamp_end: Datetime start filter for query. If not specified query will bring results to end of records.
:type timestamp_end: datetime.datetime|None, optional
:param test_ids: The ids of the tests to be queried, defaults to "all" that brings data of all the test ids.
:type test_ids: int|list<int>|None, optional
:param values: The names (keys) of the values of the sensors to be returned by the query, defaults to "all" that brings
:type values: str|list<str>|None, optional
:param bin_size: The width of the mobile window, defaults to 60.
:type bin_size: int, optional
:param bin_unit: The unit of the mobile window, defaults to minute. Options are minute, hour, day.
:type bin_unit: str, optional
"""
if test_ids == "all":
test_ids = self.test_ids
else:
if str(test_ids).isnumeric():
test_ids = [int(test_ids)]
elif type(test_ids) == list:
test_ids = test_ids
if values == "all":
values = sensor_values
collection = self.connection.collections["SanPedro"][collection_name]
return get_sanpedro_results_grouped(test_ids, collection, timestamp_start, timestamp_end, values, bin_size, bin_unit)
return get_sensor_results_grouped
methods_parameters = {
"get_fitbit_v2_results": _create_get_sensor_method(collection_name="fitbit_v2"),
"get_fitbit_results": _create_get_sensor_method(collection_name="fitbit"),
"get_holter_results": _create_get_sensor_method(collection_name="holter"),
"get_alimentacion_results": _create_get_sensor_method(collection_name="alimentacion"),
"get_patrones_minsal_2018_results": _create_get_sensor_method(collection_name="patrones_minsal_2018"),
"get_inbody_results": _create_get_sensor_method(collection_name="inbody"),
"get_freestyle_librelink_results": _create_get_sensor_method(collection_name="freestyle_librelink"),
}
grouped_methods_parameters = {
"get_fitbit_v2_results_grouped": _create_get_sensor_grouped_method(
collection_name="fitbit_v2",
sensor_values=fitbit_v2_values
),
"get_fitbit_results_grouped": _create_get_sensor_grouped_method(
collection_name="fitbit",
sensor_values=fitbit_values
),
"get_holter_results_grouped": _create_get_sensor_grouped_method(
collection_name="holter",
sensor_values=holter_values
),
"get_alimentacion_results_grouped": _create_get_sensor_grouped_method(
collection_name="alimentacion",
sensor_values=alimentacion_values
),
"get_patrones_minsal_2018_results_grouped": _create_get_sensor_grouped_method(
collection_name="patrones_minsal_2018",
sensor_values=patrones_minsal_2018_values
),
"get_inbody_results_grouped": _create_get_sensor_grouped_method(
collection_name="inbody",
sensor_values=inbody_values
),
"get_freestyle_librelink_results_grouped": _create_get_sensor_grouped_method(
collection_name="freestyle_librelink",
sensor_values=freestyle_librelink_values
),
}
for key, value in methods_parameters.items():
setattr(SanPedroStudy, key, value)
for key, value in grouped_methods_parameters.items():
setattr(SanPedroStudy, key, value)