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101 lines
1.8 KiB
Markdown
101 lines
1.8 KiB
Markdown
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[Home](https://kellyjonbrazil.github.io/jc/)
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<a id="jc.parsers.proc_partitions"></a>
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# jc.parsers.proc\_partitions
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jc - JSON Convert `/proc/partitions` file parser
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Usage (cli):
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$ cat /proc/partitions | jc --proc
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or
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$ jc /proc/partitions
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or
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$ cat /proc/partitions | jc --proc-partitions
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Usage (module):
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import jc
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result = jc.parse('proc', proc_partitions_file)
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or
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import jc
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result = jc.parse('proc_partitions', proc_partitions_file)
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Schema:
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[
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{
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"major": integer,
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"minor": integer,
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"num_blocks": integer,
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"name": string
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}
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]
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Examples:
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$ cat /proc/partitions | jc --proc -p
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[
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{
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"major": 7,
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"minor": 0,
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"num_blocks": 56896,
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"name": "loop0"
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},
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{
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"major": 7,
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"minor": 1,
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"num_blocks": 56868,
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"name": "loop1"
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},
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...
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]
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$ cat /proc/partitions | jc --proc_partitions -p -r
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[
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{
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"major": "7",
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"minor": "0",
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"num_blocks": "56896",
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"name": "loop0"
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},
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{
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"major": "7",
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"minor": "1",
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"num_blocks": "56868",
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"name": "loop1"
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},
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...
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]
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<a id="jc.parsers.proc_partitions.parse"></a>
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### parse
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```python
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def parse(data: str, raw: bool = False, quiet: bool = False) -> List[Dict]
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```
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Main text parsing function
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Parameters:
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data: (string) text data to parse
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raw: (boolean) unprocessed output if True
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quiet: (boolean) suppress warning messages if True
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Returns:
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List of Dictionaries. Raw or processed structured data.
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### Parser Information
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Compatibility: linux
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Version 1.0 by Kelly Brazil (kellyjonbrazil@gmail.com)
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