This page was generated from docs/examples/DataSet/subscriber json exporter.ipynb. Interactive online version: Binder badge.

Subscriber with JSON export

NOTE: this is an outdated notebook, some of the functions that are used here are considered private to QCoDeS and are not intended for use by users (for example, DataSet.subscribe). This notebook will be re-written in the future.

[1]:
import copy
import logging
from pathlib import Path

import numpy as np
[2]:
from qcodes.dataset import (
    ParamSpec,
    initialise_or_create_database_at,
    load_or_create_experiment,
    new_data_set,
)
from qcodes.dataset.json_exporter import (
    export_data_as_json_heatmap,
    export_data_as_json_linear,
    json_template_heatmap,
    json_template_linear,
)

Logging hadn't been started.
Activating auto-logging. Current session state plus future input saved.
Filename       : /home/runner/.qcodes/logs/command_history.log
Mode           : append
Output logging : True
Raw input log  : False
Timestamping   : True
State          : active
Qcodes Logfile : /home/runner/.qcodes/logs/240712-19267-qcodes.log
[3]:
logging.basicConfig(level="INFO")
[4]:
initialise_or_create_database_at(Path.cwd() / "json_export_example.db")
exp = load_or_create_experiment('json-export-subscriber-test', 'no-sample')
[5]:
dataSet = new_data_set("test",
                       exp_id=exp.exp_id,
                       specs=[ParamSpec("x", "numeric"), ParamSpec("y", "numeric")])
dataSet.mark_started()
[6]:
mystate = {}
mystate['json'] = copy.deepcopy(json_template_linear)
mystate['json']['x']['name'] = 'xname'
mystate['json']['x']['unit'] = 'xunit'
mystate['json']['x']['full_name'] = 'xfullname'
mystate['json']['y']['name'] = 'yname'
mystate['json']['y']['unit'] = 'yunit'
mystate['json']['y']['full_name'] = 'yfullname'
[7]:
sub_id = dataSet.subscribe(export_data_as_json_linear, min_wait=0, min_count=20,
                           state=mystate, callback_kwargs={'location': 'foo'})
[8]:
s = dataSet.subscribers[sub_id]
[9]:
mystate
[9]:
{'json': {'type': 'linear',
  'x': {'data': [],
   'name': 'xname',
   'full_name': 'xfullname',
   'is_setpoint': True,
   'unit': 'xunit'},
  'y': {'data': [],
   'name': 'yname',
   'full_name': 'yfullname',
   'is_setpoint': False,
   'unit': 'yunit'}}}
[10]:
for x in range(100):
    y = x
    dataSet.add_results([{"x":x, "y":y}])
dataSet.mark_completed()
[11]:
mystate
[11]:
{'json': {'type': 'linear',
  'x': {'data': [0,
    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,
    88,
    89,
    90,
    91,
    92,
    93,
    94,
    95,
    96,
    97,
    98,
    99],
   'name': 'xname',
   'full_name': 'xfullname',
   'is_setpoint': True,
   'unit': 'xunit'},
  'y': {'data': [0,
    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,
    88,
    89,
    90,
    91,
    92,
    93,
    94,
    95,
    96,
    97,
    98,
    99],
   'name': 'yname',
   'full_name': 'yfullname',
   'is_setpoint': False,
   'unit': 'yunit'}}}
[12]:
mystate = {}
xlen = 5
ylen = 10
mystate['json'] = json_template_heatmap.copy()
mystate['data'] = {}
mystate['data']['xlen'] = xlen
mystate['data']['ylen'] = ylen
mystate['data']['x'] = np.zeros((xlen*ylen), dtype=object)
mystate['data']['x'][:] = None
mystate['data']['y'] = np.zeros((xlen*ylen), dtype=object)
mystate['data']['y'][:] = None
mystate['data']['z'] = np.zeros((xlen*ylen), dtype=object)
mystate['data']['z'][:] = None
mystate['data']['location'] = 0
[13]:
dataSet_hm = new_data_set("test", exp_id=exp.exp_id,
                          specs=[ParamSpec("x", "numeric"),
                                 ParamSpec("y", "numeric"),
                                 ParamSpec("z", "numeric")])
dataSet_hm.mark_started()
[14]:
sub_id = dataSet_hm.subscribe(export_data_as_json_heatmap, min_wait=0, min_count=20,
                              state=mystate, callback_kwargs={'location': './foo'})
[15]:
for x in range(xlen):
    for y in range(ylen):
        z = x+y
        dataSet_hm.add_results([{"x":x, "y":y, 'z':z}])
dataSet_hm.mark_completed()
[16]:
mystate['json']
[16]:
{'type': 'heatmap',
 'x': {'data': [0, 0, 0, 0, 0],
  'name': '',
  'full_name': '',
  'is_setpoint': True,
  'unit': ''},
 'y': {'data': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
  'name': '',
  'full_name': '',
  'is_setpoint': True,
  'unit': ''},
 'z': {'data': [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],
   [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
   [2, 3, 4, 5, 6, 7, 8, 9, 10, 11],
   [3, 4, 5, 6, 7, 8, 9, 10, 11, 12],
   [4, 5, 6, 7, 8, 9, 10, 11, 12, 13]],
  'name': '',
  'full_name': '',
  'is_setpoint': False,
  'unit': ''}}
[ ]: