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112 lines
2.1 KiB
Markdown
112 lines
2.1 KiB
Markdown
# jc.parsers.jobs
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jc - JSON CLI output utility jobs Parser
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Usage:
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specify --jobs as the first argument if the piped input is coming from jobs
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Also supports the -l option
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Example:
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$ jobs -l | jc --jobs -p
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[
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{
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"job_number": 1,
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"pid": 5283,
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"status": "Running",
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"command": "sleep 10000 &"
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},
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{
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"job_number": 2,
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"pid": 5284,
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"status": "Running",
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"command": "sleep 10100 &"
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},
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{
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"job_number": 3,
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"pid": 5285,
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"history": "previous",
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"status": "Running",
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"command": "sleep 10001 &"
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},
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{
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"job_number": 4,
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"pid": 5286,
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"history": "current",
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"status": "Running",
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"command": "sleep 10112 &"
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}
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]
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$ jobs -l | jc --jobs -p -r
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[
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{
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"job_number": "1",
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"pid": "19510",
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"status": "Running",
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"command": "sleep 1000 &"
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},
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{
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"job_number": "2",
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"pid": "19511",
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"status": "Running",
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"command": "sleep 1001 &"
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},
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{
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"job_number": "3",
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"pid": "19512",
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"history": "previous",
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"status": "Running",
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"command": "sleep 1002 &"
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},
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{
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"job_number": "4",
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"pid": "19513",
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"history": "current",
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"status": "Running",
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"command": "sleep 1003 &"
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}
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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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dictionary structured data with the following schema:
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[
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{
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"job_number": integer,
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"pid": integer,
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"history": string,
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"status": string,
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"command": 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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dictionary raw or processed structured data
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