diff -r 000000000000 -r 40c8f766c9b8 src/cm/media/js/lib/yui/yui3.0.0/examples/dataschema/dataschema_text.html --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/src/cm/media/js/lib/yui/yui3.0.0/examples/dataschema/dataschema_text.html Mon Nov 23 15:14:29 2009 +0100 @@ -0,0 +1,198 @@ + + + + + YUI Library Examples: DataSchema Utility: DataSchema.Text + + + + + + + + + + + + +
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YUI Library Examples: DataSchema Utility: DataSchema.Text

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DataSchema Utility: DataSchema.Text

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+ DataSource.Text normalizes delimited text data against a given schema into an object with known properties. +
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+ View example in new window. +

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Data
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+notebooks, 100, spiral-bound
+pencils, 300, #2 with erasers
+pens, 500, blue ink
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Schema
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+{
+    resultDelimiter: "\n",
+    fieldDelimiter: ",",
+    resultFields: [{key:"product"}, {key:"quantity"}, {key:"detail"}]
+}
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Normalized data
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In order to use DataSchema.Text, input data must be delimited text. Define as your schema's resultDelimiter property the string that separates each result, and define as your schema's fieldDelimiter property the string that separates each field of each result.

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  1. YUI().use("dataschema-text", function(Y) {
  2.     var data_in = "notebooks, 100, spiral-bound\npencils, 300, #2 with erasers\npens, 500, blue ink",
  3.         schema = {
  4.             resultDelimiter: "\n",
  5.             fieldDelimiter: ",",
  6.             // Or simply: ["product", "quantity", "detail"]
  7.             resultFields: [{key:"product"}, {key:"quantity"}, {key:"detail"}]
  8.         },
  9.         data_out = Y.DataSchema.Text.apply(schema, data_in));
  10.  
  11.     alert(data_out);
  12. });
YUI().use("dataschema-text", function(Y) {
+    var data_in = "notebooks, 100, spiral-bound\npencils, 300, #2 with erasers\npens, 500, blue ink",
+        schema = {
+            resultDelimiter: "\n",
+            fieldDelimiter: ",",
+            // Or simply: ["product", "quantity", "detail"]
+            resultFields: [{key:"product"}, {key:"quantity"}, {key:"detail"}]
+        },
+        data_out = Y.DataSchema.Text.apply(schema, data_in));
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+    alert(data_out);
+});
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More DataSchema Utility Resources:

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