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/lib/yuilib/3.17.2/dataschema-json/ -> dataschema-json-debug.js (source)

   1  /*
   2  YUI 3.17.2 (build 9c3c78e)
   3  Copyright 2014 Yahoo! Inc. All rights reserved.
   4  Licensed under the BSD License.
   5  http://yuilibrary.com/license/
   6  */
   7  
   8  YUI.add('dataschema-json', function (Y, NAME) {
   9  
  10  /**
  11  Provides a DataSchema implementation which can be used to work with JSON data.
  12  
  13  @module dataschema
  14  @submodule dataschema-json
  15  **/
  16  
  17  /**
  18  Provides a DataSchema implementation which can be used to work with JSON data.
  19  
  20  See the `apply` method for usage.
  21  
  22  @class DataSchema.JSON
  23  @extends DataSchema.Base
  24  @static
  25  **/
  26  var LANG = Y.Lang,
  27      isFunction = LANG.isFunction,
  28      isObject   = LANG.isObject,
  29      isArray    = LANG.isArray,
  30      // TODO: I don't think the calls to Base.* need to be done via Base since
  31      // Base is mixed into SchemaJSON.  Investigate for later.
  32      Base       = Y.DataSchema.Base,
  33  
  34      SchemaJSON;
  35  
  36  SchemaJSON = {
  37  
  38  /////////////////////////////////////////////////////////////////////////////
  39  //
  40  // DataSchema.JSON static methods
  41  //
  42  /////////////////////////////////////////////////////////////////////////////
  43      /**
  44       * Utility function converts JSON locator strings into walkable paths
  45       *
  46       * @method getPath
  47       * @param locator {String} JSON value locator.
  48       * @return {String[]} Walkable path to data value.
  49       * @static
  50       */
  51      getPath: function(locator) {
  52          var path = null,
  53              keys = [],
  54              i = 0;
  55  
  56          if (locator) {
  57              // Strip the ["string keys"] and [1] array indexes
  58              // TODO: the first two steps can probably be reduced to one with
  59              // /\[\s*(['"])?(.*?)\1\s*\]/g, but the array indices would be
  60              // stored as strings.  This is not likely an issue.
  61              locator = locator.
  62                  replace(/\[\s*(['"])(.*?)\1\s*\]/g,
  63                  function (x,$1,$2) {keys[i]=$2;return '.@'+(i++);}).
  64                  replace(/\[(\d+)\]/g,
  65                  function (x,$1) {keys[i]=parseInt($1,10)|0;return '.@'+(i++);}).
  66                  replace(/^\./,''); // remove leading dot
  67  
  68              // Validate against problematic characters.
  69              // commented out because the path isn't sent to eval, so it
  70              // should be safe. I'm not sure what makes a locator invalid.
  71              //if (!/[^\w\.\$@]/.test(locator)) {
  72              path = locator.split('.');
  73              for (i=path.length-1; i >= 0; --i) {
  74                  if (path[i].charAt(0) === '@') {
  75                      path[i] = keys[parseInt(path[i].substr(1),10)];
  76                  }
  77              }
  78              /*}
  79              else {
  80                  Y.log("Invalid locator: " + locator, "error", "dataschema-json");
  81              }
  82              */
  83          }
  84          return path;
  85      },
  86  
  87      /**
  88       * Utility function to walk a path and return the value located there.
  89       *
  90       * @method getLocationValue
  91       * @param path {String[]} Locator path.
  92       * @param data {String} Data to traverse.
  93       * @return {Object} Data value at location.
  94       * @static
  95       */
  96      getLocationValue: function (path, data) {
  97          var i = 0,
  98              len = path.length;
  99          for (;i<len;i++) {
 100              if (isObject(data) && (path[i] in data)) {
 101                  data = data[path[i]];
 102              } else {
 103                  data = undefined;
 104                  break;
 105              }
 106          }
 107          return data;
 108      },
 109  
 110      /**
 111      Applies a schema to an array of data located in a JSON structure, returning
 112      a normalized object with results in the `results` property. Additional
 113      information can be parsed out of the JSON for inclusion in the `meta`
 114      property of the response object.  If an error is encountered during
 115      processing, an `error` property will be added.
 116  
 117      The input _data_ is expected to be an object or array.  If it is a string,
 118      it will be passed through `Y.JSON.parse()`.
 119  
 120      If _data_ contains an array of data records to normalize, specify the
 121      _schema.resultListLocator_ as a dot separated path string just as you would
 122      reference it in JavaScript.  So if your _data_ object has a record array at
 123      _data.response.results_, use _schema.resultListLocator_ =
 124      "response.results". Bracket notation can also be used for array indices or
 125      object properties (e.g. "response['results']");  This is called a "path
 126      locator"
 127  
 128      Field data in the result list is extracted with field identifiers in
 129      _schema.resultFields_.  Field identifiers are objects with the following
 130      properties:
 131  
 132        * `key`   : <strong>(required)</strong> The path locator (String)
 133        * `parser`: A function or the name of a function on `Y.Parsers` used
 134              to convert the input value into a normalized type.  Parser
 135              functions are passed the value as input and are expected to
 136              return a value.
 137  
 138      If no value parsing is needed, you can use path locators (strings)
 139      instead of field identifiers (objects) -- see example below.
 140  
 141      If no processing of the result list array is needed, _schema.resultFields_
 142      can be omitted; the `response.results` will point directly to the array.
 143  
 144      If the result list contains arrays, `response.results` will contain an
 145      array of objects with key:value pairs assuming the fields in
 146      _schema.resultFields_ are ordered in accordance with the data array
 147      values.
 148  
 149      If the result list contains objects, the identified _schema.resultFields_
 150      will be used to extract a value from those objects for the output result.
 151  
 152      To extract additional information from the JSON, include an array of
 153      path locators in _schema.metaFields_.  The collected values will be
 154      stored in `response.meta`.
 155  
 156  
 157      @example
 158          // Process array of arrays
 159          var schema = {
 160                  resultListLocator: 'produce.fruit',
 161                  resultFields: [ 'name', 'color' ]
 162              },
 163              data = {
 164                  produce: {
 165                      fruit: [
 166                          [ 'Banana', 'yellow' ],
 167                          [ 'Orange', 'orange' ],
 168                          [ 'Eggplant', 'purple' ]
 169                      ]
 170                  }
 171              };
 172  
 173          var response = Y.DataSchema.JSON.apply(schema, data);
 174  
 175          // response.results[0] is { name: "Banana", color: "yellow" }
 176  
 177  
 178          // Process array of objects + some metadata
 179          schema.metaFields = [ 'lastInventory' ];
 180  
 181          data = {
 182              produce: {
 183                  fruit: [
 184                      { name: 'Banana', color: 'yellow', price: '1.96' },
 185                      { name: 'Orange', color: 'orange', price: '2.04' },
 186                      { name: 'Eggplant', color: 'purple', price: '4.31' }
 187                  ]
 188              },
 189              lastInventory: '2011-07-19'
 190          };
 191  
 192          response = Y.DataSchema.JSON.apply(schema, data);
 193  
 194          // response.results[0] is { name: "Banana", color: "yellow" }
 195          // response.meta.lastInventory is '2001-07-19'
 196  
 197  
 198          // Use parsers
 199          schema.resultFields = [
 200              {
 201                  key: 'name',
 202                  parser: function (val) { return val.toUpperCase(); }
 203              },
 204              {
 205                  key: 'price',
 206                  parser: 'number' // Uses Y.Parsers.number
 207              }
 208          ];
 209  
 210          response = Y.DataSchema.JSON.apply(schema, data);
 211  
 212          // Note price was converted from a numeric string to a number
 213          // response.results[0] looks like { fruit: "BANANA", price: 1.96 }
 214  
 215      @method apply
 216      @param {Object} [schema] Schema to apply.  Supported configuration
 217          properties are:
 218        @param {String} [schema.resultListLocator] Path locator for the
 219            location of the array of records to flatten into `response.results`
 220        @param {Array} [schema.resultFields] Field identifiers to
 221            locate/assign values in the response records. See above for
 222            details.
 223        @param {Array} [schema.metaFields] Path locators to extract extra
 224            non-record related information from the data object.
 225      @param {Object|Array|String} data JSON data or its string serialization.
 226      @return {Object} An Object with properties `results` and `meta`
 227      @static
 228      **/
 229      apply: function(schema, data) {
 230          var data_in = data,
 231              data_out = { results: [], meta: {} };
 232  
 233          // Convert incoming JSON strings
 234          if (!isObject(data)) {
 235              try {
 236                  data_in = Y.JSON.parse(data);
 237              }
 238              catch(e) {
 239                  data_out.error = e;
 240                  return data_out;
 241              }
 242          }
 243  
 244          if (isObject(data_in) && schema) {
 245              // Parse results data
 246              data_out = SchemaJSON._parseResults.call(this, schema, data_in, data_out);
 247  
 248              // Parse meta data
 249              if (schema.metaFields !== undefined) {
 250                  data_out = SchemaJSON._parseMeta(schema.metaFields, data_in, data_out);
 251              }
 252          }
 253          else {
 254              Y.log("JSON data could not be schema-parsed: " + Y.dump(data) + " " + Y.dump(data), "error", "dataschema-json");
 255              data_out.error = new Error("JSON schema parse failure");
 256          }
 257  
 258          return data_out;
 259      },
 260  
 261      /**
 262       * Schema-parsed list of results from full data
 263       *
 264       * @method _parseResults
 265       * @param schema {Object} Schema to parse against.
 266       * @param json_in {Object} JSON to parse.
 267       * @param data_out {Object} In-progress parsed data to update.
 268       * @return {Object} Parsed data object.
 269       * @static
 270       * @protected
 271       */
 272      _parseResults: function(schema, json_in, data_out) {
 273          var getPath  = SchemaJSON.getPath,
 274              getValue = SchemaJSON.getLocationValue,
 275              path     = getPath(schema.resultListLocator),
 276              results  = path ?
 277                          (getValue(path, json_in) ||
 278                           // Fall back to treat resultListLocator as a simple key
 279                              json_in[schema.resultListLocator]) :
 280                          // Or if no resultListLocator is supplied, use the input
 281                          json_in;
 282  
 283          if (isArray(results)) {
 284              // if no result fields are passed in, then just take
 285              // the results array whole-hog Sometimes you're getting
 286              // an array of strings, or want the whole object, so
 287              // resultFields don't make sense.
 288              if (isArray(schema.resultFields)) {
 289                  data_out = SchemaJSON._getFieldValues.call(this, schema.resultFields, results, data_out);
 290              } else {
 291                  data_out.results = results;
 292              }
 293          } else if (schema.resultListLocator) {
 294              data_out.results = [];
 295              data_out.error = new Error("JSON results retrieval failure");
 296              Y.log("JSON data could not be parsed: " + Y.dump(json_in), "error", "dataschema-json");
 297          }
 298  
 299          return data_out;
 300      },
 301  
 302      /**
 303       * Get field data values out of list of full results
 304       *
 305       * @method _getFieldValues
 306       * @param fields {Array} Fields to find.
 307       * @param array_in {Array} Results to parse.
 308       * @param data_out {Object} In-progress parsed data to update.
 309       * @return {Object} Parsed data object.
 310       * @static
 311       * @protected
 312       */
 313      _getFieldValues: function(fields, array_in, data_out) {
 314          var results = [],
 315              len = fields.length,
 316              i, j,
 317              field, key, locator, path, parser, val,
 318              simplePaths = [], complexPaths = [], fieldParsers = [],
 319              result, record;
 320  
 321          // First collect hashes of simple paths, complex paths, and parsers
 322          for (i=0; i<len; i++) {
 323              field = fields[i]; // A field can be a simple string or a hash
 324              key = field.key || field; // Find the key
 325              locator = field.locator || key; // Find the locator
 326  
 327              // Validate and store locators for later
 328              path = SchemaJSON.getPath(locator);
 329              if (path) {
 330                  if (path.length === 1) {
 331                      simplePaths.push({
 332                          key : key,
 333                          path: path[0]
 334                      });
 335                  } else {
 336                      complexPaths.push({
 337                          key    : key,
 338                          path   : path,
 339                          locator: locator
 340                      });
 341                  }
 342              } else {
 343                  Y.log("Invalid key syntax: " + key, "warn", "dataschema-json");
 344              }
 345  
 346              // Validate and store parsers for later
 347              //TODO: use Y.DataSchema.parse?
 348              parser = (isFunction(field.parser)) ?
 349                          field.parser :
 350                          Y.Parsers[field.parser + ''];
 351  
 352              if (parser) {
 353                  fieldParsers.push({
 354                      key   : key,
 355                      parser: parser
 356                  });
 357              }
 358          }
 359  
 360          // Traverse list of array_in, creating records of simple fields,
 361          // complex fields, and applying parsers as necessary
 362          for (i=array_in.length-1; i>=0; --i) {
 363              record = {};
 364              result = array_in[i];
 365              if(result) {
 366                  // Cycle through complexLocators
 367                  for (j=complexPaths.length - 1; j>=0; --j) {
 368                      path = complexPaths[j];
 369                      val = SchemaJSON.getLocationValue(path.path, result);
 370                      if (val === undefined) {
 371                          val = SchemaJSON.getLocationValue([path.locator], result);
 372                          // Fail over keys like "foo.bar" from nested parsing
 373                          // to single token parsing if a value is found in
 374                          // results["foo.bar"]
 375                          if (val !== undefined) {
 376                              simplePaths.push({
 377                                  key:  path.key,
 378                                  path: path.locator
 379                              });
 380                              // Don't try to process the path as complex
 381                              // for further results
 382                              complexPaths.splice(i,1);
 383                              continue;
 384                          }
 385                      }
 386  
 387                      record[path.key] = Base.parse.call(this,
 388                          (SchemaJSON.getLocationValue(path.path, result)), path);
 389                  }
 390  
 391                  // Cycle through simpleLocators
 392                  for (j = simplePaths.length - 1; j >= 0; --j) {
 393                      path = simplePaths[j];
 394                      // Bug 1777850: The result might be an array instead of object
 395                      record[path.key] = Base.parse.call(this,
 396                              ((result[path.path] === undefined) ?
 397                              result[j] : result[path.path]), path);
 398                  }
 399  
 400                  // Cycle through fieldParsers
 401                  for (j=fieldParsers.length-1; j>=0; --j) {
 402                      key = fieldParsers[j].key;
 403                      record[key] = fieldParsers[j].parser.call(this, record[key]);
 404                      // Safety net
 405                      if (record[key] === undefined) {
 406                          record[key] = null;
 407                      }
 408                  }
 409                  results[i] = record;
 410              }
 411          }
 412          data_out.results = results;
 413          return data_out;
 414      },
 415  
 416      /**
 417       * Parses results data according to schema
 418       *
 419       * @method _parseMeta
 420       * @param metaFields {Object} Metafields definitions.
 421       * @param json_in {Object} JSON to parse.
 422       * @param data_out {Object} In-progress parsed data to update.
 423       * @return {Object} Schema-parsed meta data.
 424       * @static
 425       * @protected
 426       */
 427      _parseMeta: function(metaFields, json_in, data_out) {
 428          if (isObject(metaFields)) {
 429              var key, path;
 430              for(key in metaFields) {
 431                  if (metaFields.hasOwnProperty(key)) {
 432                      path = SchemaJSON.getPath(metaFields[key]);
 433                      if (path && json_in) {
 434                          data_out.meta[key] = SchemaJSON.getLocationValue(path, json_in);
 435                      }
 436                  }
 437              }
 438          }
 439          else {
 440              data_out.error = new Error("JSON meta data retrieval failure");
 441          }
 442          return data_out;
 443      }
 444  };
 445  
 446  // TODO: Y.Object + mix() might be better here
 447  Y.DataSchema.JSON = Y.mix(SchemaJSON, Base);
 448  
 449  
 450  }, '3.17.2', {"requires": ["dataschema-base", "json"]});


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