convertwords
Changes specified words in a string of text to different words, based on a database of conversions.
[convertwords db=xx.db]Any Text[/convertwords]Parameters
| Parameter | Description |
|---|---|
| db | (Required) path to conversion database which contains list of "from" and "to" conversions of words to other words |
| table | In place of a db file, you can specify a named reference to a WebDNA [table] object. |
| case | (Optional) T or F to indicate that word comparisons should be case-sensitive or not. Default is F, case-insensitive |
| word | (Optional) SS, WW, SW to indicate that words should be matched as SubString, Whole Word, or Start of Word, same as [search] parameters (word breaks subchapter) when matching text in a database |
| delimiters | (Optional) List of single characters which define word boundaries. |
To automatically convert certain words into other words, create a database of words to be changed, and put the text to be converted inside a [convertwords] context. Any matching words will be changed to corresponding words in the database lookup table.
Example WebDNA code:
The above line of WebDNA would produce the following (given the proper glossary.db):
A Hypertext Transport Protocol request first uses Domain Name System to look up the Internet Protocol address
Here's what the glossary.db file would look like for the example above:
Example result:
Anywhere the words in the from column appear in the text, they are replaced with whatever is in the to column. There is no limit to the length text in either the from or to columns. You may put any kind of text into either column; for example, HTML is legal in either column.
All the dynamic links in this website are dynamically generated, based on the document titles; a [table] is first generated with all document titles to dynamically create links:
Example WebDNA code:
This way, [search] would automatically be associated with <a href="page.dna?numero=69">[search]</a>
Then we use
Example WebDNA code:
to replace all the titles that could appear in the text with a link: all the technical titles in this website are now properly and dynamically linked.
Some handy uses for [convertwords] include removing foul language from online message boards, spelling out acronyms, changing nicknames to full names, inserting hyperlinks, and expanding glossary terms.
Example WebDNA code:
[convertwords db=glossary.db]
A HTTP request first uses DNS to look up the ip address
[/convertwords]The above line of WebDNA would produce the following (given the proper glossary.db):
A Hypertext Transport Protocol request first uses Domain Name System to look up the Internet Protocol address
Here's what the glossary.db file would look like for the example above:
Example result:
-- glossary.db --
from to
HTTP Hypertext Transport Protocol
DNS Dynamic Naming System
ip Internet ProtocolAnywhere the words in the from column appear in the text, they are replaced with whatever is in the to column. There is no limit to the length text in either the from or to columns. You may put any kind of text into either column; for example, HTML is legal in either column.
All the dynamic links in this website are dynamically generated, based on the document titles; a [table] is first generated with all document titles to dynamically create links:
Example WebDNA code:
[table name=t2&fields=from,to]
[search db=base.db&netitledata=[blank]][founditems]
[title] <a href="page.dna?numero=[ref]">[title]</a>h
[/founditems][/search]
[/table]This way, [search] would automatically be associated with <a href="page.dna?numero=69">[search]</a>
Then we use
Example WebDNA code:
[convertwords table=t2][text][/convertwords]to replace all the titles that could appear in the text with a link: all the technical titles in this website are now properly and dynamically linked.
Some handy uses for [convertwords] include removing foul language from online message boards, spelling out acronyms, changing nicknames to full names, inserting hyperlinks, and expanding glossary terms.