-
Notifications
You must be signed in to change notification settings - Fork 5
/
display_experiments.py
87 lines (71 loc) · 3.58 KB
/
display_experiments.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
# The MIT License (MIT) # Copyright (c) 2014-2017 University of Bristol
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
# DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
# OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE
# OR OTHER DEALINGS IN THE SOFTWARE.
from __future__ import print_function
import arrow
import logging
import pandas as pd
def run(house, delete_existing_workflows=True, loglevel=logging.INFO):
from hyperstream import HyperStream, StreamId, TimeInterval
from hyperstream.utils import duration2str
from workflows.display_experiments import create_workflow_list_technicians_walkarounds
hyperstream = HyperStream(loglevel=loglevel)
# Various channels
M = hyperstream.channel_manager.memory
S = hyperstream.channel_manager.sphere
T = hyperstream.channel_manager.tools
D = hyperstream.channel_manager.mongo
hyperstream.plate_manager.delete_plate("H")
hyperstream.plate_manager.create_plate(
plate_id="H",
description="All houses",
meta_data_id="house",
values=[],
complement=True,
parent_plate=None
)
workflow_id = "list_technicians_walkarounds"
if delete_existing_workflows:
hyperstream.workflow_manager.delete_workflow(workflow_id)
try:
w = hyperstream.workflow_manager.workflows[workflow_id]
except KeyError:
w = create_workflow_list_technicians_walkarounds(hyperstream, house, safe=False)
hyperstream.workflow_manager.commit_workflow(workflow_id)
time_interval = TimeInterval.up_to_now()
w.execute(time_interval)
print('number of sphere non_empty_streams: {}'.format(len(S.non_empty_streams)))
print('number of memory non_empty_streams: {}'.format(len(M.non_empty_streams)))
df = M[StreamId('experiments_dataframe', dict(house=house))].window().values()[0]
# arrow.get(x).humanize()
# df['start'] = df['start'].map('{:%Y-%m-%d %H:%M:%S}'.format)
df['duration'] = df['end'] - df['start']
df['start'] = map(lambda x: '{:%Y-%m-%d %H:%M:%S}'.format(x), df['start'])
df['end'] = map(lambda x: '{:%Y-%m-%d %H:%M:%S}'.format(x), df['end'])
# df['duration'] = map(lambda x:'{:%Mmin %Ssec}'.format(x),df['duration'])
df['start_as_text'] = map(lambda x: arrow.get(x).humanize(), df['start'])
df['duration_as_text'] = map(lambda x: duration2str(x), df['duration'])
pd.set_option('display.width', 1000)
print(df[['id', 'start_as_text', 'duration_as_text', 'start', 'end', 'annotator']].to_string(index=False))
if __name__ == '__main__':
import sys
from os import path
sys.path.append(path.dirname(path.dirname(path.abspath(__file__))))
house = 1
run(house, delete_existing_workflows=True, loglevel=logging.INFO)