json − gawk extension to import from and export to JSON format
@load "json"
status = json::from_json(string, array)
encoded = json::to_json(array [, use_real_array])
# compatibility
functions in json_compat.awk:
@include "json_compat"
status = json_fromJSON(string, array)
encoded = json_toJSON(array [, use_real_array])
JSON objects represent associations of names with values, what we will call linear arrays (arrays with numeric indices), and subgroupings (nested associative arrays). Such objects map well onto gawk’s true multidimensional associative arrays. This extension provides a mechanism to encode a gawk array as a JSON string and to decode a JSON object into a gawk array.
The json
extension adds two functions as follows:
json::from_json(string,
array)
This function takes a string representing a JSON object and decodes it into the array argument. The array is cleared first. The return status is one upon success or zero upon failure. In addition, gawk’s ERRNO variable is updated to (sort of) indicate what the problem was.
json::to_json(array[, use_real_array])
This function takes an array argument and encodes the array contents as a JSON object in the returned string. The returned string will be empty if an error of some kind occurred. In addition, gawk’s ERRNO variable is updated to (sort of) indicate what the problem was.
If the optional parameter use_real_array is not zero, json::to_json() encodes arrays indexed from 1 to N as JSON linear arrays, instead of as associative arrays. This gives a better rendition into JSON, at the expense of some additional CPU time to verify that the array is indeed indexed linearly.
The mapping between gawk objects and JSON objects isn’t perfect. In particular, JSON boolean objects map to 1 or 0, losing the type distinction. Typed regular expression constants in gawk are encoded as a string, with the regexp bracketed by @/ and /. For example, pattern:"@/[a-z]+[0-9]?/".
The json_compat.awk library file provides compatibility functions for the previous version of this extension, which did not take advantage of gawk’s namespace facility.
@load
"filefuncs"
@load "json"
...
BEGIN {
|
stat("/etc/passwd", data) | ||
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statinfo = json::to_json(data) | ||
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print statinfo |
}
BEGIN {
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getline statinfo |
|||
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if (! json::from_json(statinfo, data)) |
|||
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print "JSON import failed!" > "/dev/stderr" | |||
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exit 1 | |||
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} |
|||
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# do something with the info |
}
This extension uses RapidJSON to parse a JSON document into a gawk array. This approximates the Document Object Model (DOM) paradigm. In the author’s humble opinion, the SAX paradigm for parsing JSON does not match well with awk’s design. If you want SAX parsing of JSON, this isn’t the place.
JSON home page: https://www.json.org/
Wikipedia: https://en.wikipedia.org/wiki/JSON
RapidJSON home page: http://rapidjson.org/
Arnold D. Robbins
Copyright
© 2017, the Free Software Foundation, Inc.
Copyright © 2017, 2020, Arnold David Robbins.
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