mirror of https://github.com/pyodide/pyodide.git
48 lines
1.1 KiB
Python
Executable File
48 lines
1.1 KiB
Python
Executable File
#!/usr/bin/env python
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import json
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import random
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import sys
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random.seed(0)
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columns = [
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('column0', lambda: 'XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX'),
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('column1', lambda: random.choice([
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'notification-interval-longer', 'notification-interval-short', 'control'])),
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('column2', lambda: random.choice([True, False])),
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('column3', lambda: random.randint(0, 4)),
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('column4', lambda: random.randint(0, 4)),
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('column5', lambda: random.randint(0, 4)),
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('column6', lambda: random.randint(0, 4)),
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('column7', lambda: random.randint(0, 4))
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]
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N_ROWS = 91746 # the output JSON size will be ~15 MB/10k rows
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class StreamDict(dict):
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"""
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To serialize to JSON, we create an iterable object that inherits from a
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known supported object type: dict.
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"""
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def __init__(self, generator):
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self.generator = generator
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def items(self):
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for i in range(N_ROWS):
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yield i, self.generator()
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def __len__(self):
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return 1
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data = {}
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for name, generator in columns:
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data[name] = StreamDict(generator)
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print("Content-Type: application/json")
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print()
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json.dump(data, sys.stdout)
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