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1 YUI.add('dataschema-text', function (Y, NAME) { |
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2 |
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3 /** |
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4 * Provides a DataSchema implementation which can be used to work with |
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5 * delimited text data. |
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6 * |
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7 * @module dataschema |
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8 * @submodule dataschema-text |
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9 */ |
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10 |
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11 /** |
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12 Provides a DataSchema implementation which can be used to work with |
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13 delimited text data. |
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14 |
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15 See the `apply` method for usage. |
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16 |
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17 @class DataSchema.Text |
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18 @extends DataSchema.Base |
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19 @static |
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20 **/ |
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21 |
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22 var Lang = Y.Lang, |
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23 isString = Lang.isString, |
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24 isUndef = Lang.isUndefined, |
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25 |
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26 SchemaText = { |
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27 |
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28 //////////////////////////////////////////////////////////////////////// |
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29 // |
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30 // DataSchema.Text static methods |
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31 // |
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32 //////////////////////////////////////////////////////////////////////// |
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33 /** |
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34 Applies a schema to a string of delimited data, returning a normalized |
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35 object with results in the `results` property. The `meta` property of |
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36 the response object is present for consistency, but is assigned an |
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37 empty object. If the input data is absent or not a string, an `error` |
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38 property will be added. |
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39 |
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40 Use _schema.resultDelimiter_ and _schema.fieldDelimiter_ to instruct |
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41 `apply` how to split up the string into an array of data arrays for |
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42 processing. |
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43 |
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44 Use _schema.resultFields_ to specify the keys in the generated result |
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45 objects in `response.results`. The key:value pairs will be assigned |
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46 in the order of the _schema.resultFields_ array, assuming the values |
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47 in the data records are defined in the same order. |
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48 |
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49 _schema.resultFields_ field identifiers are objects with the following |
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50 properties: |
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51 |
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52 * `key` : <strong>(required)</strong> The property name you want |
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53 the data value assigned to in the result object (String) |
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54 * `parser`: A function or the name of a function on `Y.Parsers` used |
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55 to convert the input value into a normalized type. Parser |
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56 functions are passed the value as input and are expected to |
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57 return a value. |
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58 |
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59 If no value parsing is needed, you can use just the desired property |
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60 name string as the field identifier instead of an object (see example |
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61 below). |
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62 |
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63 @example |
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64 // Process simple csv |
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65 var schema = { |
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66 resultDelimiter: "\n", |
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67 fieldDelimiter: ",", |
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68 resultFields: [ 'fruit', 'color' ] |
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69 }, |
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70 data = "Banana,yellow\nOrange,orange\nEggplant,purple"; |
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71 |
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72 var response = Y.DataSchema.Text.apply(schema, data); |
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73 |
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74 // response.results[0] is { fruit: "Banana", color: "yellow" } |
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75 |
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76 |
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77 // Use parsers |
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78 schema.resultFields = [ |
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79 { |
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80 key: 'fruit', |
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81 parser: function (val) { return val.toUpperCase(); } |
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82 }, |
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83 'color' // mix and match objects and strings |
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84 ]; |
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85 |
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86 response = Y.DataSchema.Text.apply(schema, data); |
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87 |
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88 // response.results[0] is { fruit: "BANANA", color: "yellow" } |
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89 |
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90 @method apply |
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91 @param {Object} schema Schema to apply. Supported configuration |
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92 properties are: |
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93 @param {String} schema.resultDelimiter Character or character |
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94 sequence that marks the end of one record and the start of |
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95 another. |
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96 @param {String} [schema.fieldDelimiter] Character or character |
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97 sequence that marks the end of a field and the start of |
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98 another within the same record. |
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99 @param {Array} [schema.resultFields] Field identifiers to |
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100 assign values in the response records. See above for details. |
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101 @param {String} data Text data. |
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102 @return {Object} An Object with properties `results` and `meta` |
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103 @static |
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104 **/ |
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105 apply: function(schema, data) { |
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106 var data_in = data, |
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107 data_out = { results: [], meta: {} }; |
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108 |
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109 if (isString(data) && schema && isString(schema.resultDelimiter)) { |
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110 // Parse results data |
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111 data_out = SchemaText._parseResults.call(this, schema, data_in, data_out); |
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112 } else { |
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113 Y.log("Text data could not be schema-parsed: " + Y.dump(data) + " " + Y.dump(data), "error", "dataschema-text"); |
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114 data_out.error = new Error("Text schema parse failure"); |
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115 } |
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116 |
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117 return data_out; |
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118 }, |
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119 |
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120 /** |
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121 * Schema-parsed list of results from full data |
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122 * |
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123 * @method _parseResults |
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124 * @param schema {Array} Schema to parse against. |
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125 * @param text_in {String} Text to parse. |
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126 * @param data_out {Object} In-progress parsed data to update. |
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127 * @return {Object} Parsed data object. |
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128 * @static |
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129 * @protected |
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130 */ |
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131 _parseResults: function(schema, text_in, data_out) { |
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132 var resultDelim = schema.resultDelimiter, |
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133 fieldDelim = isString(schema.fieldDelimiter) && |
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134 schema.fieldDelimiter, |
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135 fields = schema.resultFields || [], |
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136 results = [], |
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137 parse = Y.DataSchema.Base.parse, |
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138 results_in, fields_in, result, item, |
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139 field, key, value, i, j; |
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140 |
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141 // Delete final delimiter at end of string if there |
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142 if (text_in.slice(-resultDelim.length) === resultDelim) { |
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143 text_in = text_in.slice(0, -resultDelim.length); |
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144 } |
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145 |
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146 // Split into results |
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147 results_in = text_in.split(schema.resultDelimiter); |
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148 |
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149 if (fieldDelim) { |
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150 for (i = results_in.length - 1; i >= 0; --i) { |
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151 result = {}; |
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152 item = results_in[i]; |
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153 |
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154 fields_in = item.split(schema.fieldDelimiter); |
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155 |
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156 for (j = fields.length - 1; j >= 0; --j) { |
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157 field = fields[j]; |
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158 key = (!isUndef(field.key)) ? field.key : field; |
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159 // FIXME: unless the key is an array index, this test |
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160 // for fields_in[key] is useless. |
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161 value = (!isUndef(fields_in[key])) ? |
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162 fields_in[key] : |
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163 fields_in[j]; |
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164 |
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165 result[key] = parse.call(this, value, field); |
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166 } |
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167 |
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168 results[i] = result; |
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169 } |
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170 } else { |
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171 results = results_in; |
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172 } |
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173 |
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174 data_out.results = results; |
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175 |
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176 return data_out; |
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177 } |
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178 }; |
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179 |
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180 Y.DataSchema.Text = Y.mix(SchemaText, Y.DataSchema.Base); |
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181 |
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182 |
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183 }, '@VERSION@', {"requires": ["dataschema-base"]}); |