forked from jgrewe/fishbook
[frontend] support date restrictions in dataset, expose data_host to
user
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@ -5,6 +5,7 @@ import os
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import numpy as np
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from IPython import embed
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from fishbook.backend.util import progress
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import datetime as dt
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class Cell:
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"""The Cell class represents a recorded cell. It is characterized by *id*, the cell *type*, the *firing_rate*, and the recording *location*.
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@ -242,6 +243,16 @@ class Dataset:
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"""
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return self.__tuple["data_source"]
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@property
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def data_host(self):
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"""Returns the fully qualified name of the host from which the data was imported. That is, where it
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should be available.
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Returns:
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str: the fully qualified domain.
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"""
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return self.__tuple["data_host"]
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@property
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def setup(self):
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"""The recording setup.
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@ -272,6 +283,16 @@ class Dataset:
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subject_list = (Subjects * (SubjectDatasetMap & self.__tuple))
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return [Subject(tuple=s) for s in subject_list]
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@property
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def repro_runs(self):
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"""The repros that have been run in this dataset.
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Returns:
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list of fishbook.RePro: list of repro runs
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"""
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repros = (Repros * Cells * (CellDatasetMap & self.__tuple))
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return [RePro(tuple=r) for r in repros]
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@property
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def samplerate(self):
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"""Get the samplerate of the data.
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@ -291,13 +312,16 @@ class Dataset:
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return len(Datasets())
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@staticmethod
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def find(min_duration=None, experimenter=None, quality=None, test=False):
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"""Find dataset entries in the database. You may restrict the search by providing the following arguments.
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def find(min_duration=None, experimenter=None, quality=None, min_date=None, max_date=None, test=False):
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"""Find dataset entries in the database. You may restrict the search by providing the following arguments. All restrictions are connected
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with a logical AND.
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Args:
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min_duration (float, optional): minimum duration of the recording session, if not given, any length datasets will be returned. Defaults to None.
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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.
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quality (str, optional): the quality assigned to the dataset during recording (e.g. good, fair, poor). Defaults to None.
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min_date (datetime, optional): the minimum recording date. Dates may be given as datetime objects or string of the format "2010.01.01" or "2010-01-01". Defaults to None.
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max_date (datetime, optional): the maximum recording date. Defaults to None.
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test (bool, optional): defines whether this is a test run and thus whether or not the search results should be fetched, which can take a while. Defaults to False.
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Returns:
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list: list of Dataset object matching the search criteria, empty if test==True
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@ -310,6 +334,10 @@ class Dataset:
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dataset_list = dataset_list & "experimenter like '%{0:s}%'".format(experimenter)
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if quality:
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dataset_list = dataset_list & "quality like '{0:s}'".format(quality)
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if min_date and isinstance(min_date, (dt.date, str)):
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dataset_list = dataset_list & "recording_date >= '%s'" % min_date
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if max_date and isinstance(min_date, (dt.date, str)):
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dataset_list = dataset_list & "recording_date < '%s'" % max_date
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results = []
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total = len(dataset_list)
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@ -353,6 +381,7 @@ class Dataset:
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str = "dataset id: %s\n" % self.id
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str += "recorded: %s \t by: %s\n" % (self.recording_date, self.experimenter)
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str += "duration: %s min \t quality: %s\n" % (self.recording_duration, self.quality)
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str += "location: %s\t host:%s\n" % (self.data_source, self.data_host)
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str += "comment: %s" % self.comment
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return str
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@ -653,7 +682,8 @@ class Subject:
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def __str__(self):
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str = "Subject: %s\n" % self.id
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str += ""
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str += "Species: %s\n" % self.species
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return str
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if __name__ == "__main__":
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