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126 lines
2.5 KiB
Markdown
126 lines
2.5 KiB
Markdown
# jc.parsers.df
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jc - JSON CLI output utility df Parser
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Usage:
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specify --df as the first argument if the piped input is coming from df
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Compatibility:
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'linux', 'darwin'
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Examples:
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$ df | jc --df -p
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[
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{
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"filesystem": "devtmpfs",
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"1k_blocks": 1918820,
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"used": 0,
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"available": 1918820,
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"use_percent": 0,
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"mounted_on": "/dev"
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},
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{
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"filesystem": "tmpfs",
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"1k_blocks": 1930668,
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"used": 0,
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"available": 1930668,
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"use_percent": 0,
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"mounted_on": "/dev/shm"
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},
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{
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"filesystem": "tmpfs",
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"1k_blocks": 1930668,
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"used": 11800,
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"available": 1918868,
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"use_percent": 1,
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"mounted_on": "/run"
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},
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...
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]
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$ df | jc --df -p -r
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[
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{
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"filesystem": "devtmpfs",
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"1k_blocks": "1918820",
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"used": "0",
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"available": "1918820",
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"use_percent": "0%",
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"mounted_on": "/dev"
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},
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{
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"filesystem": "tmpfs",
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"1k_blocks": "1930668",
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"used": "0",
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"available": "1930668",
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"use_percent": "0%",
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"mounted_on": "/dev/shm"
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},
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{
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"filesystem": "tmpfs",
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"1k_blocks": "1930668",
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"used": "11800",
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"available": "1918868",
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"use_percent": "1%",
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"mounted_on": "/run"
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},
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...
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]
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## info
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```python
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info(self, /, *args, **kwargs)
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```
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## process
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```python
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process(proc_data)
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```
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Final processing to conform to the schema.
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Parameters:
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proc_data: (dictionary) raw structured data to process
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Returns:
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List of dictionaries. Structured data with the following schema:
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[
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{
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"filesystem": string,
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"size": string,
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"1k_blocks": integer,
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"512_blocks": integer,
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"used": integer,
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"available": integer,
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"capacity_percent": integer,
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"ifree": integer,
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"iused": integer,
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"use_percent": integer,
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"iused_percent": integer,
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"mounted_on": string
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}
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]
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## parse
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```python
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parse(data, raw=False, quiet=False)
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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) output preprocessed JSON 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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