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mirror of https://github.com/kellyjonbrazil/jc.git synced 2025-07-13 01:20:24 +02:00

Merge pull request #147 from kellyjonbrazil/master

sync to dev
This commit is contained in:
Kelly Brazil
2021-06-30 10:10:59 -07:00
committed by GitHub
8 changed files with 10 additions and 7 deletions

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@ -1,5 +1,8 @@
jc changelog
20210628 v1.15.6
- Fix issue to only load local plugin parsers that have filenames that end in .py
20210520 v1.15.5
- Fix issue where help and about information would not display if a 3rd party parser library was missing. (e.g. xmltodict)
- Add more error message detail when encountering ParseError and LibraryNotFound exceptions

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@ -19,7 +19,7 @@ dig example.com | jc --dig
39049,"data":"93.184.216.34"}],"query_time":49,"server":"2600:1700:bab0:d40::1#53(2600:1700:bab0:d40::1)","when":
"Fri Apr 16 16:09:00 PDT 2021","rcvd":56,"when_epoch":1618614540,"when_epoch_utc":null}]
```
This allows further command-line processing of output with tools like `jq` by piping commands:
This allows further command-line processing of output with tools like `jq` or [`jello`](https://github.com/kellyjonbrazil/jello) by piping commands:
```bash
$ dig example.com | jc --dig | jq -r '.[].answer[].data'
93.184.216.34
@ -60,7 +60,7 @@ The `jc` parsers can also be used as python modules. In this case the output wil
'2600:1700:bab0:d40::1#53(2600:1700:bab0:d40::1)', 'when': 'Fri Apr 16 16:13:00 PDT 2021', 'rcvd': 56,
'when_epoch': 1618614780, 'when_epoch_utc': None}]
```
Two representations of the data are possible. The default representation uses a strict schema per parser and converts known numbers to int/float JSON values. Certain known values of `None` are converted to JSON `null`, known boolean values are converted, and, in some cases, additional semantic context fields are added.
Two representations of the data are available. The default representation uses a strict schema per parser and converts known numbers to int/float JSON values. Certain known values of `None` are converted to JSON `null`, known boolean values are converted, and, in some cases, additional semantic context fields are added.
To access the raw, pre-processed JSON, use the `-r` cli option or the `raw=True` function parameter in `parse()`.

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@ -86,4 +86,4 @@ Module Example:
"""
name = 'jc'
__version__ = '1.15.5'
__version__ = '1.15.6'

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@ -130,7 +130,7 @@ local_parsers_dir = os.path.join(data_dir, 'jcparsers')
if os.path.isdir(local_parsers_dir):
sys.path.append(data_dir)
for name in os.listdir(local_parsers_dir):
if re.match(r'\w+\.py', name) and os.path.isfile(os.path.join(local_parsers_dir, name)):
if re.match(r'\w+\.py$', name) and os.path.isfile(os.path.join(local_parsers_dir, name)):
plugin_name = name[0:-3]
local_parsers.append(plugin_name)
if plugin_name not in parsers:

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@ -5,7 +5,7 @@ with open('README.md', 'r') as f:
setuptools.setup(
name='jc',
version='1.15.5',
version='1.15.6',
author='Kelly Brazil',
author_email='kellyjonbrazil@gmail.com',
description='Converts the output of popular command-line tools and file-types to JSON.',

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@ -19,7 +19,7 @@ dig example.com | jc --dig
39049,"data":"93.184.216.34"}],"query_time":49,"server":"2600:1700:bab0:d40::1#53(2600:1700:bab0:d40::1)","when":
"Fri Apr 16 16:09:00 PDT 2021","rcvd":56,"when_epoch":1618614540,"when_epoch_utc":null}]
```
This allows further command-line processing of output with tools like `jq` by piping commands:
This allows further command-line processing of output with tools like `jq` or [`jello`](https://github.com/kellyjonbrazil/jello) by piping commands:
```bash
$ dig example.com | jc --dig | jq -r '.[].answer[].data'
93.184.216.34
@ -60,7 +60,7 @@ The `jc` parsers can also be used as python modules. In this case the output wil
'2600:1700:bab0:d40::1#53(2600:1700:bab0:d40::1)', 'when': 'Fri Apr 16 16:13:00 PDT 2021', 'rcvd': 56,
'when_epoch': 1618614780, 'when_epoch_utc': None}]
```
Two representations of the data are possible. The default representation uses a strict schema per parser and converts known numbers to int/float JSON values. Certain known values of `None` are converted to JSON `null`, known boolean values are converted, and, in some cases, additional semantic context fields are added.
Two representations of the data are available. The default representation uses a strict schema per parser and converts known numbers to int/float JSON values. Certain known values of `None` are converted to JSON `null`, known boolean values are converted, and, in some cases, additional semantic context fields are added.
To access the raw, pre-processed JSON, use the `-r` cli option or the `raw=True` function parameter in `parse()`.