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Summarizing and Logging

An example of the Summarizing and Logging mode.

Enabling the Summarizing and Logging mode

To enable the Summarizing and Logging mode, you should add !! at the beginning of the code cell.





In [1]:



    


!!from time import sleep

for i in range(0, 100):
    print(i)
    sleep(0.1)



    


















    






path: /notebooks/.log/20170704/20170704-071330-0124.log
start time: 2017-07-04 07:13:30(UTC)
end time: 2017-07-04 07:13:40(UTC)
output size: 656 bytes
0 chunks with matched keywords or errors
----
0
...
99

You can configure the summarization settings via the environment variable lc_wrapper.





In [2]:



    


%env lc_wrapper=4:4:4:4



    


















    






env: lc_wrapper=4:4:4:4

















In [3]:



    


!!from time import sleep

for i in range(0, 100):
    print(i)
    sleep(0.1)



    


















    






path: /notebooks/.log/20170704/20170704-071348-0190.log
start time: 2017-07-04 07:13:48(UTC)
end time: 2017-07-04 07:13:58(UTC)
output size: 656 bytes
0 chunks with matched keywords or errors
----
0
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...
96
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The .log directory is created and the whole of output are recorded on a log file in this directory.

The filename is recorded on output area like above.





In [4]:



    


!cat /notebooks/.log/20170704/20170704-071348-0190.log



    


















    






{"lc_cell_meme": {"current": "1c27a2c6-5e2a-11e7-a968-0242ac110003"}}
----
!!from time import sleep

for i in range(0, 100):
    print(i)
    sleep(0.1)
----
path: /notebooks/.log/20170704/20170704-071348-0190.log
start time: 2017-07-04 07:13:48(UTC)
----
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----
end time: 2017-07-04 07:13:58(UTC)
output size: 158 bytes
0 chunks with matched keywords or errors
----

Various Types of Execution Results

LC_wrapper also records execution results not only stream output.

Plain Text in Execution Result

An execution result is recorded with stream outputs.





In [5]:



    


def do_something():
    return "output something"



    











In [6]:



    


do_something()



    


















    
Out[6]:








'output something'

















In [7]:



    


!!from time import sleep

for i in range(0, 100):
    print(i)
    sleep(0.1)

do_something()



    


















    






path: /notebooks/.log/20170704/20170704-071448-0119.log
start time: 2017-07-04 07:14:48(UTC)
end time: 2017-07-04 07:14:58(UTC)
output size: 732 bytes
0 chunks with matched keywords or errors
----
0
1
2
3
...
96
97
98
99









    
Out[7]:








'output something'

















In [8]:



    


!cat /notebooks/.log/20170704/20170704-071448-0119.log



    


















    






{"lc_cell_meme": {"current": "932a75fc-56ea-11e7-ba0d-0242ac110002"}}
----
!!from time import sleep

for i in range(0, 100):
    print(i)
    sleep(0.1)

do_something()
----
path: /notebooks/.log/20170704/20170704-071448-0119.log
start time: 2017-07-04 07:14:48(UTC)
----
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----
end time: 2017-07-04 07:14:58(UTC)
output size: 174 bytes
0 chunks with matched keywords or errors
----
result: /notebooks/.log/20170704/20170704-071448-0119-0.pkl

HTML in Execution Result

Also you can contain HTML code in an exeuction result...





In [9]:



    


!!from time import sleep
from datetime import datetime
import pandas as pd

items = []
for i in range(0, 100):
    print(i)
    sleep(0.1)
    items.append((i, datetime.now()))

pd.DataFrame(items, columns=['Index', 'Datetime'])



    


















    






path: /notebooks/.log/20170704/20170704-071539-0790.log
start time: 2017-07-04 07:15:39(UTC)
end time: 2017-07-04 07:15:50(UTC)
output size: 867 bytes
0 chunks with matched keywords or errors
----
0
1
2
3
...
96
97
98
99









    
Out[9]:











  
    

      
      Index
      Datetime
    

  
  
    

      0
      0
      2017-07-04 07:15:40.254218
    

    

      1
      1
      2017-07-04 07:15:40.355224
    

    

      2
      2
      2017-07-04 07:15:40.455753
    

    

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      3
      2017-07-04 07:15:40.556035
    

    

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      4
      2017-07-04 07:15:40.656669
    

    

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      5
      2017-07-04 07:15:40.756945
    

    

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      6
      2017-07-04 07:15:40.857524
    

    

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      7
      2017-07-04 07:15:40.957998
    

    

      8
      8
      2017-07-04 07:15:41.058410
    

    

      9
      9
      2017-07-04 07:15:41.158994
    

    

      10
      10
      2017-07-04 07:15:41.259493
    

    

      11
      11
      2017-07-04 07:15:41.359999
    

    

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      12
      2017-07-04 07:15:41.460488
    

    

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      13
      2017-07-04 07:15:41.560985
    

    

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      14
      2017-07-04 07:15:41.661581
    

    

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      15
      2017-07-04 07:15:41.762014
    

    

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      16
      2017-07-04 07:15:41.862497
    

    

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      17
      2017-07-04 07:15:41.962989
    

    

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      2017-07-04 07:15:42.063466
    

    

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      2017-07-04 07:15:42.163874
    

    

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      2017-07-04 07:15:42.264358
    

    

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      21
      2017-07-04 07:15:42.364739
    

    

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      2017-07-04 07:15:42.465420
    

    

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      2017-07-04 07:15:42.565930
    

    

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      2017-07-04 07:15:42.666383
    

    

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      2017-07-04 07:15:42.766796
    

    

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      2017-07-04 07:15:42.867228
    

    

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      2017-07-04 07:15:42.967666
    

    

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      2017-07-04 07:15:43.068147
    

    

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      29
      2017-07-04 07:15:43.168652
    

    

      ...
      ...
      ...
    

    

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      2017-07-04 07:15:47.288617
    

    

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      2017-07-04 07:15:47.389142
    

    

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      2017-07-04 07:15:47.489628
    

    

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      2017-07-04 07:15:47.590162
    

    

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      2017-07-04 07:15:47.690692
    

    

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      2017-07-04 07:15:47.791134
    

    

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      2017-07-04 07:15:47.891508
    

    

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      2017-07-04 07:15:47.991974
    

    

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      2017-07-04 07:15:48.393835
    

    

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      2017-07-04 07:15:48.494328
    

    

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      2017-07-04 07:15:48.594845
    

    

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      2017-07-04 07:15:48.695299
    

    

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      2017-07-04 07:15:48.795801
    

    

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      86
      2017-07-04 07:15:48.896254
    

    

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      87
      2017-07-04 07:15:48.996703
    

    

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      2017-07-04 07:15:49.097184
    

    

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      2017-07-04 07:15:49.197463
    

    

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      2017-07-04 07:15:49.298048
    

    

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      2017-07-04 07:15:49.398637
    

    

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      2017-07-04 07:15:49.499141
    

    

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      2017-07-04 07:15:49.599543
    

    

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      2017-07-04 07:15:49.700122
    

    

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      2017-07-04 07:15:49.900961
    

    

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      2017-07-04 07:15:50.001429
    

    

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      2017-07-04 07:15:50.101900
    

    

      99
      99
      2017-07-04 07:15:50.202352
    

  



100 rows × 2 columns



















In [10]:



    


!cat /notebooks/.log/20170704/20170704-071539-0790.log



    


















    






{"lc_cell_meme": {"current": "81c9561e-5e2b-11e7-a968-0242ac110003"}}
----
!!from time import sleep
from datetime import datetime
import pandas as pd

items = []
for i in range(0, 100):
    print(i)
    sleep(0.1)
    items.append((i, datetime.now()))

pd.DataFrame(items, columns=['Index', 'Datetime'])
----
path: /notebooks/.log/20170704/20170704-071539-0790.log
start time: 2017-07-04 07:15:39(UTC)
----
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----
end time: 2017-07-04 07:15:50(UTC)
output size: 309 bytes
0 chunks with matched keywords or errors
----
result: /notebooks/.log/20170704/20170704-071539-0790-0.pkl

Image in Execution Result





In [11]:



    


%matplotlib inline



    











In [12]:



    


!!from time import sleep
from datetime import datetime
import pandas as pd

items = []
for i in range(0, 100):
    print(i)
    sleep(0.1)
    items.append((datetime.now(), i))

pd.DataFrame(items, columns=['Datetime', 'Index']).set_index('Datetime').plot()



    


















    






path: /notebooks/.log/20170704/20170704-071619-0567.log
start time: 2017-07-04 07:16:19(UTC)
end time: 2017-07-04 07:16:29(UTC)
output size: 956 bytes
0 chunks with matched keywords or errors
----
0
1
2
3
...
96
97
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99









    
Out[12]:








<matplotlib.axes._subplots.AxesSubplot at 0x7fa8c77b1f10>










    
























In [13]:



    


!cat /notebooks/.log/20170704/20170704-071619-0567.log



    


















    






{"lc_cell_meme": {"current": "c9514668-5e2b-11e7-a968-0242ac110003"}}
----
!!from time import sleep
from datetime import datetime
import pandas as pd

items = []
for i in range(0, 100):
    print(i)
    sleep(0.1)
    items.append((datetime.now(), i))

pd.DataFrame(items, columns=['Datetime', 'Index']).set_index('Datetime').plot()
----
path: /notebooks/.log/20170704/20170704-071619-0567.log
start time: 2017-07-04 07:16:19(UTC)
----
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----
end time: 2017-07-04 07:16:29(UTC)
output size: 338 bytes
0 chunks with matched keywords or errors
----
result: /notebooks/.log/20170704/20170704-071619-0567-0.pkl
result: /notebooks/.log/20170704/20170704-071619-0567-1.pkl

Errors

lc_wrapper can handle errors properly.





In [14]:



    


!!from time import sleep

for i in range(0, 100):
    print(i)
    sleep(0.1)

# Always raises AssertionError
assert False



    


















    






path: /notebooks/.log/20170704/20170704-071647-0970.log
start time: 2017-07-04 07:16:47(UTC)
end time: 2017-07-04 07:16:58(UTC)
output size: 761 bytes
0 chunks with matched keywords or errors
----
0
1
2
3
...
96
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AssertionErrorTraceback (most recent call last)
<ipython-input-28-5ce67cc1e015> in <module>()
      6 
      7 # Always raises AssertionError
----> 8 assert False

AssertionError: 
















In [15]:



    


!cat /notebooks/.log/20170704/20170704-071647-0970.log



    


















    






{"lc_cell_meme": {"current": "932a773c-56ea-11e7-ba0d-0242ac110002"}}
----
!!from time import sleep

for i in range(0, 100):
    print(i)
    sleep(0.1)

# Always raises AssertionError
assert False
----
path: /notebooks/.log/20170704/20170704-071647-0970.log
start time: 2017-07-04 07:16:47(UTC)
----
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----
end time: 2017-07-04 07:16:58(UTC)
output size: 203 bytes
0 chunks with matched keywords or errors
----
result: /notebooks/.log/20170704/20170704-071647-0970-0.pkl

















In [ ]:

Content source: NII-cloud-operation/Jupyter-LC_wrapper

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