Difference between revisions of "Filter"
From DocDataFlow
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| − | A filter is an [[Atomic adapter|atomic adapter]] which can selectively strip granules from the data flow. | + | A filter is an [[Atomic adapter|atomic adapter]] which can selectively strip [[Granule|''granules'']] from the data flow. |
| − | Inside the filter, there is some programming logic which checks every input granule, and returns a pass/fail answer. | + | Inside the filter, there is some programming logic which checks every input [[Granule|''granule'']], and returns a pass/fail answer. |
| − | Any granules that fail the test are dropped from the data flow. | + | Any [[Granule|''granules'']] that fail the test are dropped from the data flow. |
An example: a filter could be set up to drop any word granules that contain a word that starts with a lower case letter. | An example: a filter could be set up to drop any word granules that contain a word that starts with a lower case letter. | ||
Latest revision as of 19:13, 29 December 2013
A filter is an atomic adapter which can selectively strip granules from the data flow.
Inside the filter, there is some programming logic which checks every input granule, and returns a pass/fail answer.
Any granules that fail the test are dropped from the data flow.
An example: a filter could be set up to drop any word granules that contain a word that starts with a lower case letter.
Consider the following data flow which originated somewhere up-flow. This is the input to the example filter:
Word: This Word: is Word: a Word: paragraph Para: This is a paragraph Word: This Word: is Word: another Word: paragraph Para: This is another paragraph TextFrame: pos (10, 20), width 20, height 80
If a filter is set up to drop any words starting with a lower case letter, the output of the filter would become:
Word: This Para: This is a paragraph Word: This Para: This is another paragraph TextFrame: pos (10, 20), width 20, height 80
