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docstrings and added Dataset totalcount function

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Jan Grewe 2020-07-27 09:50:33 +02:00
parent 59e6d4c0da
commit b4d03325de
1 changed files with 31 additions and 5 deletions
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36
fishbook/frontend/frontend_classes.py
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@ -80,14 +80,16 @@ class Cell:
class Dataset: class Dataset:
"""[summary] """The Dataset class represents an entry in the "datasets" table in the database. In the relacs context a Dataset represents all that has been recorded between pressing enter. For example all that is stored in the folder 2020-01-01-aa.
""" """
def __init__(self, dataset_id=None, tuple=None): def __init__(self, dataset_id=None, tuple=None):
"""[summary] """Constructor of a Dataset entity.
Args: Args:
dataset_id ([type], optional): [description]. Defaults to None. dataset_id (str, optional): the id. Defaults to None.
tuple ([type], optional): [description]. Defaults to None. tuple (tuple, optional): The properties used to identify the entity in the database. Usually only for internal use. Defaults to None.
""" """
self.__samplerate = 0.0 self.__samplerate = 0.0
if tuple: if tuple:
@ -113,7 +115,7 @@ class Dataset:
@property @property
def experimenter(self): def experimenter(self):
"""The person who recording the dataset. """The person who did record the dataset.
Returns: Returns:
str: The experimenter str: The experimenter
@ -122,6 +124,11 @@ class Dataset:
@property @property
def recording_date(self): def recording_date(self):
"""The Dataset's recording date.
Returns:
str: the recording date.
"""
return self.__tuple["recording_date"] return self.__tuple["recording_date"]
@property @property
@ -162,8 +169,27 @@ class Dataset:
def samplerate(self): def samplerate(self):
return self.__samplerate return self.__samplerate
@staticmethod
def totalDatasetCount():
"""Returns the total number of datasets defined in the database.
Returns:
int: the count
"""
return len(Datasets)
@staticmethod @staticmethod
def find(min_duration=None, experimenter=None, quality=None): def find(min_duration=None, experimenter=None, quality=None):
"""Find dataset entries in the database. You may restrict the search by providing the following arguments.
Args:
min_duration (float, optional): minimum duration of the recording session, if not given, any length datasets will be returned. Defaults to None.
experimenter (str, optional): the name of the one who did the recording. The name does not need to be the full name. Defaults to None.
quality (str, optional): the quality assigned to the dataset during recording (e.g. good, fair, poor). Defaults to None.
Returns:
list: list of Dataset object matching the search criteria.
"""
dataset_list = Datasets dataset_list = Datasets
if min_duration: if min_duration:
dataset_list = dataset_list & "duration > %.2f" % min_duration dataset_list = dataset_list & "duration > %.2f" % min_duration