forked from jgrewe/fishbook
fix output
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b01270bb9b
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@ -3,9 +3,10 @@ import datajoint as dj
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import nixio as nix
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import os
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import glob
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import socket
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from fishbook.backend.util import read_info_file, read_dataset_info, read_stimuli_file
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from fishbook.backend.util import find_key_recursive, deep_get, find_mtags_for_tag
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from fishbook.backend.util import mtag_settings_to_yaml, nix_metadata_to_yaml
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from fishbook.backend.util import mtag_settings_to_yaml, nix_metadata_to_yaml, progress
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import uuid
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import yaml
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@ -18,6 +19,7 @@ class Datasets(dj.Manual):
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dataset_id : varchar(256)
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----
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data_source : varchar(512) # path to the dataset
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data_host : varchar(512) # fully qualified domain name
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experimenter : varchar(512)
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setup : varchar(128)
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recording_date : date
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@ -32,8 +34,8 @@ class Datasets(dj.Manual):
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if id is not None:
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d = dict((Datasets() & {"dataset_id": id}).fetch1())
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return d
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return dict(dataset_id=None, data_source="", experimenter="", setup="", recording_date=None,
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quality="", comment="", duration=0.0, has_nix=False)
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return dict(dataset_id=None, data_source="", data_host="", experimenter="", setup="",
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recording_date=None, quality="", comment="", duration=0.0, has_nix=False)
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@staticmethod
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def get_nix_file(key):
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@ -230,6 +232,7 @@ def populate_datasets(data_path, update=False):
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inserts = Datasets.get_template_tuple()
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inserts["dataset_id"] = dset_name
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inserts["data_source"] = data_path
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inserts["data_host"] = socket.getfqdn()
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inserts["experimenter"] = experimenter
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inserts["recording_date"] = rec_date
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inserts["quality"] = quality if not isinstance(quality, dict) else ""
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@ -356,7 +359,7 @@ def populate_cells(data_path):
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Cells.insert1(cell_props, skip_duplicates=True)
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# multi mach entry
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# multi match entry
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mm = dict(dataset_id=dataset["dataset_id"], cell_id=cell_props["cell_id"])
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CellDatasetMap.insert1(mm, skip_duplicates=True)
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@ -372,12 +375,13 @@ def scan_nix_file_for_repros(dataset):
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f = nix.File.open(nf, nix.FileMode.ReadOnly)
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b = f.blocks[0]
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repro_runs = [t for t in b.tags if "relacs.repro_run" in t.type]
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for t in repro_runs:
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total = len(repro_runs)
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for i, t in enumerate(repro_runs):
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progress(i+1, total, "Scanning repro run %s" % rs["RePro"])
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rs = t.metadata.find_sections(lambda x: "Run" in x.props)
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if len(rs) == 0:
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continue
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rs = rs[0]
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print("\t\t%s" % rs["RePro"])
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rp = Repros.get_template_tuple()
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rp["run"] = rs["Run"]
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@ -420,6 +424,7 @@ def scan_nix_file_for_repros(dataset):
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stim["stimulus_name"] = mt.name
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stim.update(repro)
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Stimuli.insert1(stim, skip_duplicates=True)
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print("\n")
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f.close()
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f = None
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@ -429,6 +434,7 @@ def scan_folder_for_repros(dataset):
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repro_settings, stim_indices = read_stimuli_file(dataset["data_source"])
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repro_counts = {}
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cell_id = (Cells * CellDatasetMap * (Datasets & "dataset_id = '%s'" % dataset["dataset_id"])).fetch("cell_id", limit=1)[0]
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total = len(repro_settings)
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for i, (rs, si) in enumerate(zip(repro_settings, stim_indices)):
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rp = Repros.get_template_tuple()
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path = []
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@ -442,8 +448,8 @@ def scan_folder_for_repros(dataset):
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path = []
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if not find_key_recursive(rs, "repro", path):
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find_key_recursive(rs, "RePro", path)
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print("\t\t %s" % deep_get(rs, path, "None"))
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rp["repro_name"] = deep_get(rs, path, "None")
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progress(i+1, total, "scanning repro %s" % rp["repro_name"])
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path = []
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if rp["repro_name"] in repro_counts.keys():
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@ -489,6 +495,7 @@ def scan_folder_for_repros(dataset):
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stim["stimulus_name"] = ""
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stim.update(repro)
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Stimuli.insert1(stim, skip_duplicates=True)
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print("\n")
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def populate_repros(data_path):
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@ -528,6 +535,6 @@ if __name__ == "__main__":
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# data_dir = "../high_freq_chirps/data"
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# drop_tables()
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# datasets = glob.glob("/Users/jan/zwischenlager/2012-*")2010-06-21-ac/info.dat
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datasets = glob.glob(os.path.join(data_dir, '/data/apteronotus/2019-10-2*'))
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datasets = glob.glob(os.path.join(data_dir, '/data/apteronotus/2010-06-18*'))
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populate(datasets, update=False)
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