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{
"@context": "http://clowder.ncsa.illinois.edu/contexts/extractors.jsonld",
"name": "ncsa.wordcount",
"version": "2.0",
"description": "WordCount extractor. Counts the number of characters, words and lines in the text file that was uploaded.",
"author": "Rob Kooper <kooper@illinois.edu>",
"contributors": [],
"contexts": [
{
"lines": "http://clowder.ncsa.illinois.edu/metadata/ncsa.wordcount#lines",
"words": "http://clowder.ncsa.illinois.edu/metadata/ncsa.wordcount#words",
"characters": "http://clowder.ncsa.illinois.edu/metadata/ncsa.wordcount#characters"
}
],
"repository": [
{
"repType": "git",
"repUrl": "https://opensource.ncsa.illinois.edu/stash/scm/cats/pyclowder.git"
}
],
"process": {
"file": [
"text/*",
"application/json"
]
},
"external_services": [],
"dependencies": [],
"labels": [],
"bibtex": []
}
|
contexts
This field can be left empty, but it is the place where you can define what the metadata fields returned from your extractor mean.
process
Controls when/how an extractor is submitted based on Clowder events. To see a full list of event types refer to Extractor Basics. In the example above, the word count extractor is processed manually on a single file. Below is an example of starting an extractor automatically when a file is added to a dataset:
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dependencies
a list of packages the extractor depends upon
...