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190 lines
6.8 KiB
190 lines
6.8 KiB
/*
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YUI 3.17.2 (build 9c3c78e)
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Copyright 2014 Yahoo! Inc. All rights reserved.
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Licensed under the BSD License.
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http://yuilibrary.com/license/
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*/
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YUI.add('dataschema-text', function (Y, NAME) {
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/**
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* Provides a DataSchema implementation which can be used to work with
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* delimited text data.
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*
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* @module dataschema
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* @submodule dataschema-text
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*/
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/**
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Provides a DataSchema implementation which can be used to work with
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delimited text data.
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See the `apply` method for usage.
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@class DataSchema.Text
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@extends DataSchema.Base
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@static
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**/
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var Lang = Y.Lang,
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isString = Lang.isString,
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isUndef = Lang.isUndefined,
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SchemaText = {
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////////////////////////////////////////////////////////////////////////
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//
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// DataSchema.Text static methods
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//
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////////////////////////////////////////////////////////////////////////
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/**
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Applies a schema to a string of delimited data, returning a normalized
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object with results in the `results` property. The `meta` property of
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the response object is present for consistency, but is assigned an
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empty object. If the input data is absent or not a string, an `error`
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property will be added.
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Use _schema.resultDelimiter_ and _schema.fieldDelimiter_ to instruct
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`apply` how to split up the string into an array of data arrays for
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processing.
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Use _schema.resultFields_ to specify the keys in the generated result
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objects in `response.results`. The key:value pairs will be assigned
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in the order of the _schema.resultFields_ array, assuming the values
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in the data records are defined in the same order.
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_schema.resultFields_ field identifiers are objects with the following
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properties:
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* `key` : <strong>(required)</strong> The property name you want
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the data value assigned to in the result object (String)
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* `parser`: A function or the name of a function on `Y.Parsers` used
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to convert the input value into a normalized type. Parser
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functions are passed the value as input and are expected to
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return a value.
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If no value parsing is needed, you can use just the desired property
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name string as the field identifier instead of an object (see example
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below).
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@example
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// Process simple csv
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var schema = {
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resultDelimiter: "\n",
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fieldDelimiter: ",",
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resultFields: [ 'fruit', 'color' ]
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},
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data = "Banana,yellow\nOrange,orange\nEggplant,purple";
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var response = Y.DataSchema.Text.apply(schema, data);
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// response.results[0] is { fruit: "Banana", color: "yellow" }
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// Use parsers
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schema.resultFields = [
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{
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key: 'fruit',
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parser: function (val) { return val.toUpperCase(); }
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},
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'color' // mix and match objects and strings
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];
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response = Y.DataSchema.Text.apply(schema, data);
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// response.results[0] is { fruit: "BANANA", color: "yellow" }
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@method apply
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@param {Object} schema Schema to apply. Supported configuration
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properties are:
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@param {String} schema.resultDelimiter Character or character
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sequence that marks the end of one record and the start of
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another.
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@param {String} [schema.fieldDelimiter] Character or character
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sequence that marks the end of a field and the start of
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another within the same record.
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@param {Array} [schema.resultFields] Field identifiers to
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assign values in the response records. See above for details.
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@param {String} data Text data.
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@return {Object} An Object with properties `results` and `meta`
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@static
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**/
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apply: function(schema, data) {
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var data_in = data,
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data_out = { results: [], meta: {} };
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if (isString(data) && schema && isString(schema.resultDelimiter)) {
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// Parse results data
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data_out = SchemaText._parseResults.call(this, schema, data_in, data_out);
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} else {
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Y.log("Text data could not be schema-parsed: " + Y.dump(data) + " " + Y.dump(data), "error", "dataschema-text");
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data_out.error = new Error("Text schema parse failure");
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}
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return data_out;
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},
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/**
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* Schema-parsed list of results from full data
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*
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* @method _parseResults
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* @param schema {Array} Schema to parse against.
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* @param text_in {String} Text to parse.
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* @param data_out {Object} In-progress parsed data to update.
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* @return {Object} Parsed data object.
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* @static
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* @protected
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*/
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_parseResults: function(schema, text_in, data_out) {
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var resultDelim = schema.resultDelimiter,
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fieldDelim = isString(schema.fieldDelimiter) &&
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schema.fieldDelimiter,
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fields = schema.resultFields || [],
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results = [],
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parse = Y.DataSchema.Base.parse,
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results_in, fields_in, result, item,
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field, key, value, i, j;
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// Delete final delimiter at end of string if there
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if (text_in.slice(-resultDelim.length) === resultDelim) {
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text_in = text_in.slice(0, -resultDelim.length);
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}
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// Split into results
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results_in = text_in.split(schema.resultDelimiter);
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if (fieldDelim) {
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for (i = results_in.length - 1; i >= 0; --i) {
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result = {};
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item = results_in[i];
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fields_in = item.split(schema.fieldDelimiter);
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for (j = fields.length - 1; j >= 0; --j) {
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field = fields[j];
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key = (!isUndef(field.key)) ? field.key : field;
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// FIXME: unless the key is an array index, this test
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// for fields_in[key] is useless.
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value = (!isUndef(fields_in[key])) ?
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fields_in[key] :
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fields_in[j];
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result[key] = parse.call(this, value, field);
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}
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results[i] = result;
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}
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} else {
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results = results_in;
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}
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data_out.results = results;
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return data_out;
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}
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};
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Y.DataSchema.Text = Y.mix(SchemaText, Y.DataSchema.Base);
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}, '3.17.2', {"requires": ["dataschema-base"]});
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