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[frontend] support date restrictions in dataset, expose data_host to

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This commit is contained in:
Jan Grewe 2020-08-03 18:26:07 +02:00
parent b376edb342
commit ec88c79e0f
1 changed files with 34 additions and 4 deletions
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38
fishbook/frontend/frontend_classes.py
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@ -5,6 +5,7 @@ import os
import numpy as np
from IPython import embed
from fishbook.backend.util import progress
import datetime as dt
class Cell:
"""The Cell class represents a recorded cell. It is characterized by *id*, the cell *type*, the *firing_rate*, and the recording *location*.
@ -242,6 +243,16 @@ class Dataset:
"""
return self.__tuple["data_source"]
@property
def data_host(self):
"""Returns the fully qualified name of the host from which the data was imported. That is, where it
should be available.
Returns:
str: the fully qualified domain.
"""
return self.__tuple["data_host"]
@property
def setup(self):
"""The recording setup.
@ -272,6 +283,16 @@ class Dataset:
subject_list = (Subjects * (SubjectDatasetMap & self.__tuple))
return [Subject(tuple=s) for s in subject_list]
@property
def repro_runs(self):
"""The repros that have been run in this dataset.
Returns:
list of fishbook.RePro: list of repro runs
"""
repros = (Repros * Cells * (CellDatasetMap & self.__tuple))
return [RePro(tuple=r) for r in repros]
@property
def samplerate(self):
"""Get the samplerate of the data.
@ -291,13 +312,16 @@ class Dataset:
return len(Datasets())
@staticmethod
def find(min_duration=None, experimenter=None, quality=None, test=False):
"""Find dataset entries in the database. You may restrict the search by providing the following arguments.
def find(min_duration=None, experimenter=None, quality=None, min_date=None, max_date=None, test=False):
"""Find dataset entries in the database. You may restrict the search by providing the following arguments. All restrictions are connected
with a logical AND.
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.
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.
max_date (datetime, optional): the maximum recording date. Defaults to None.
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.
Returns:
list: list of Dataset object matching the search criteria, empty if test==True
@ -310,7 +334,11 @@ class Dataset:
dataset_list = dataset_list & "experimenter like '%{0:s}%'".format(experimenter)
if quality:
dataset_list = dataset_list & "quality like '{0:s}'".format(quality)
if min_date and isinstance(min_date, (dt.date, str)):
dataset_list = dataset_list & "recording_date >= '%s'" % min_date
if max_date and isinstance(min_date, (dt.date, str)):
dataset_list = dataset_list & "recording_date < '%s'" % max_date
results = []
total = len(dataset_list)
if not test:
@ -353,6 +381,7 @@ class Dataset:
str = "dataset id: %s\n" % self.id
str += "recorded: %s \t by: %s\n" % (self.recording_date, self.experimenter)
str += "duration: %s min \t quality: %s\n" % (self.recording_duration, self.quality)
str += "location: %s\t host:%s\n" % (self.data_source, self.data_host)
str += "comment: %s" % self.comment
return str
@ -653,7 +682,8 @@ class Subject:
def __str__(self):
str = "Subject: %s\n" % self.id
str += ""
str += "Species: %s\n" % self.species
return str
if __name__ == "__main__":