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2630 |
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
3
3
10
2
8
5
5
3
1
33
31
33
33
33
33
33
33
33
1
2
2
1
1
1
1
11
11
1
1
1
1
11
11
11
11
11
11
11
11
11
11
11
11
11
11
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
11
11
1
1
12
12
12
12
12
12
12
12
12
12
6
6
1
1
1
5
1
1
1
4
4
4
4
3
4
4
4
4
4
2
4
4
4
4
4
4
1
1
1
1
1
6
6
6
6
6
4
4
4
207
101
106
4
27
27
27
27
27
27
27
27
4
4
4
27
4
4
178
178
3
3
175
175
175
175
1761
175
175
175
24
24
151
151
151
175
175
175
1593
1593
1593
152
152
1441
1441
1718
1718
1441
1441
175
170
170
170
170
170
5
4
4
4
4
4
12
12
12
12
12
12
1
12
12
12
12
11
12
12
12
12
12
12
12
12
12
12
12
12
12
35
8
6
5
1
2
2
35
35
31
31
31
31
31
29
2
6
2
317
33
284
39
39
3
3
36
36
36
36
955
33
33
922
922
37
37
2
2
35
35
35
35
35
35
35
35
35
36
36
10
36
36
2
2
34
1
1670
1
1669
18
18
52
8
15
8
8
181
1612
1612
1612
1612
1329
1612
1329
1329
26
26
1303
1303
126
126
1612
8
3
3
3
3
3
3
3
171
171
3
3
3
3
3
3
3
3
174
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10
174
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1610
174
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174
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14
14
14
14
14
1610
174
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1610
1596
1596
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1596
174
2
2
2
2
2
2
2
2
2
1
1
1
2
1
1
1
1
1
1
1
1
1
1
5
5
5
5
5
5
23
23
23
23
23
23
3
23
23
155
155
155
155
78
77
77
57
236
236
20
20
20
77
2
7
7
75
1
1
77
77
264
264
264
264
263
1
1
264
264
264
705
705
705
705
705
705
2161
2161
2161
2161
669
669
1492
80
80
1412
705
705
705
705
705
705
705
669
669
669
669
669
705
705
705
705
1
7
1
1
1
705
705
4935
705
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
5
1
1
1
1
4
4
3
3
3
3
1
1
1
1
1
1
1
4
4
4
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
1
1
1
1
1
1
1
3
3
27
27
19
8
3
2
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
4
4
4
4
4
4
2
2
2
2
4
4
2
2
2
2
2
1
1
1
1
1
1
1
2
7
7
7
7
1
1
1
6
5
5
5
1
4
2
2
2
2
2
2
7
7
7
7
56
56
13
7
7
7
1
| /* globals window, escape, $, FileReader, FormData, unescape, Blob */
var FieldDBImage = require("./../image/Image").Image;
var AudioVideo = require("./../audio_video/AudioVideo").AudioVideo;
var AudioVideos = require("./../audio_video/AudioVideos").AudioVideos;
var Collection = require("./../Collection").Collection;
var CORS = require("./../CORS").CORS;
var Corpus = require("./../corpus/Corpus").Corpus;
var Image = require("./../image/Image").Image;
// var DataList = require("./../data_list/DataList").DataList;
var Participant = require("./../user/Participant").Participant;
var Datum = require("./../datum/Datum").Datum;
var DatumField = require("./../datum/DatumField").DatumField;
var DatumFields = require("./../datum/DatumFields").DatumFields;
var FieldDBObject = require("./../FieldDBObject").FieldDBObject;
// var FileReader = {};
var Session = require("./../datum/Session").Session;
var TextGrid = require("textgrid").TextGrid;
var Q = require("q");
var ATOB;
var X2JS;
try {
if (!window.atob) {
console.log("ATOB is not defined, loading from npm");
}
ATOB = window.atob;
} catch (e) {
ATOB = require("atob");
}
Eif (typeof window === "undefined") {
X2JS = require("x2js");
} else {
X2JS = window.X2JS;
}
//http://stackoverflow.com/questions/4998908/convert-data-uri-to-file-then-append-to-formdata
var dataURItoBlob = function(dataURI) {
// convert base64/URLEncoded data component to raw binary data held in a string
var byteString;
if (dataURI.split(",")[0].indexOf("base64") >= 0) {
byteString = ATOB(dataURI.split(",")[1]);
} else {
byteString = unescape(dataURI.split(",")[1]);
}
// separate out the mime component
var mimeString = dataURI.split(",")[0].split(":")[1].split(";")[0];
// write the bytes of the string to a typed array
var ia = new Uint8Array(byteString.length);
for (var i = 0; i < byteString.length; i++) {
ia[i] = byteString.charCodeAt(i);
}
return new Blob([ia], {
type: mimeString
});
};
var getUnique = function(arrayObj) {
var u = {},
a = [];
for (var i = 0, l = arrayObj.length; i < l; ++i) {
if (u.hasOwnProperty(arrayObj[i])) {
continue;
}
if (arrayObj[i]) {
a.push(arrayObj[i]);
u[arrayObj[i]] = 1;
}
}
return a;
};
/**
* @class The import class helps import csv, xml and raw text data into a corpus, or create a new corpus.
*
* @property {FileList} files These are the file(s) that were dragged in.
* @property {String} dbname This is the corpusid wherej the data should be imported
* @property {DatumFields} fields The fields array contains titles of the data columns.
* @property {DataList} datalist The datalist imported, to hold the data before it is saved.
* @property {Event} event The drag/drop event.
*
* @description The initialize serves to bind import to all drag and drop events.
*
* @extends FieldDBObject
* @tutorial tests/CorpusTest.js
*/
var Import = function Import(options) {
if (!this._fieldDBtype) {
this._fieldDBtype = "Import";
}
this.debug(" new import ", options);
FieldDBObject.apply(this, arguments);
options = options || {};
var sessionOptions = options.session || {};
sessionOptions.datalist = options.datalist || {
title: {
default: "Imported Data"
},
docs: {
id: "tempdatalist",
collection: [],
primaryKey: "tempId"
},
// confidential: self.corpus.confidential,
// debugMode: true
};
this.session = sessionOptions;
this.session.goal = "Goal from file import";
};
Import.prototype = Object.create(FieldDBObject.prototype, /** @lends Import.prototype */ {
constructor: {
value: Import
},
fillWithDefaults: {
value: function() {
if (!this.datumFields) {
this.datumFields = this.corpus.datumFields.clone();
}
}
},
defaults: {
get: function() {
return {
status: "",
showImportFirstStep: true,
showImportSecondStep: false,
showImportThirdStep: false,
progress: {
total: 0,
completed: 0
},
datalist: {},
session: {},
dbname: "",
files: [],
asFieldMatrix: [],
asCSV: []
};
},
set: function() {}
},
INTERNAL_MODELS: {
value: {
progress: {},
// datalist: DataList,
datumFields: DatumFields,
session: Session,
corpus: Corpus
}
},
showImportSecondStep: {
get: function() {
Iif (this.dontShowSecondStep) {
return false;
}
return this.asCSV && this.asCSV.length > 0;
},
set: function() {}
},
showImportThirdStep: {
get: function() {
return this.datalist && this.datalist.docs && this.datalist.docs.length > 0;
},
set: function() {}
},
addFileUris: {
value: function(options) {
var deferred = Q.defer();
var self = this;
var promises = options.fileList.map(function(file) {
// var id = file.replace("imported_corpora/", "");
self.debug("adding file ", file);
return self.addFileUri({
// id: id,
uri: file,
readOptions: options.readOptions,
preprocessOptions: options.preprocessOptions,
importOptions: options.importOptions,
dbname: options.dbname
});
});
Q.allSettled(promises).then(function(results) {
self.debug("done with promises " + results.length);
deferred.resolve(options);
});
return deferred.promise;
}
},
addFileUrl: {
value: function() {
this.warn("addFileUrl is deprecated, use addFileUri");
}
},
addFileUri: {
value: function(options) {
var deferred = Q.defer(),
self = this;
Iif (!options) {
throw new Error("Options must be specified {}");
}
Iif (!options.uri) {
throw new Error("Uri must be specified in the options in order to import it" + JSON.stringify(options));
}
Q.nextTick(function() {
self.debug("addFileUri", options);
self.readUri(options)
.then(function() {
return self.preprocess.apply(self, arguments);
})
// .then(function() {
// return self.import.apply(self, arguments);
// })
.then(function(result) {
self.debug("Preprocess is finished");
self.debug("result.datum.length: " + result.datum.length);
self.datalist.add(result.datum);
result.fileName = result.fileName || options.uri.replace(new RegExp(".*" + options.dbname + "/"), "");
self.files.add(result);
deferred.resolve(result);
})
.fail(function(reason) {
console.error(reason.stack);
deferred.reject(reason);
});
});
return deferred.promise;
}
},
readUri: {
value: function(options) {
this.debug("readUri", options);
var deferred = Q.defer(),
self = this;
Q.nextTick(function() {
Iif (!options) {
throw new Error("Options must be specified {}");
}
self.debug("readUri");
var pipeline = function(optionsWithADatum) {
self.debug("pipeline", optionsWithADatum.uri);
Eif (optionsWithADatum.readOptions) {
try {
return optionsWithADatum.readOptions
.readFileFunction(optionsWithADatum, function(err, data) {
Iif (err) {
self.debug("read file", err);
deferred.reject(err);
} else {
self.debug("rawText", data.length);
self.debug("done rawText");
optionsWithADatum.rawText = data;
deferred.resolve(optionsWithADatum);
}
});
} catch (err) {
deferred.reject(err);
}
}
self.warn("TODO reading url in browser");
CORS.makeCORSRequest({
type: "GET",
dataType: "json",
uri: optionsWithADatum.uri
}).then(function(data) {
self.debug(data);
optionsWithADatum.rawText = data;
deferred.resolve(optionsWithADatum);
}, function(reason) {
self.debug(reason);
deferred.reject(reason);
}).fail(function(error) {
console.error(error.stack, self);
deferred.reject(error);
});
};
var whenFound;
if (self.corpus.url && self.corpus.url.indexOf(".git") > -1) {
// Dont try a fetch on a .git url
whenFound = Q.fcall(function () {
return [];
});
} else {
self.debug("find " + options.uri);
whenFound = self.corpus.find(options.uri);
}
whenFound
.then(function(similarData) {
Iif (similarData && similarData._id) {
self.debug("similarData", similarData._id, similarData._rev);
options.datum = self.corpus.newDatum(similarData);
options.datum.session = options.datum.session || self.session;
return pipeline(options);
}
self.debug("similarData", similarData.length);
Iif (Array.isArray(similarData) && similarData.length === 1) {
options.datum = self.corpus.newDatum(similarData[0]);
options.datum.session = options.datum.session || self.session;
// try {
// pipeline(options);
// } catch (e) {
// console.log('caught an err', e);
// }
return pipeline(options);
}
self.debug("readUri newDatumAsync");
self.corpus.newDatumAsync()
.then(function(datum) {
// self.debug("datum", datum);
options.datum = datum;
options.datum.session = options.datum.session || self.session;
pipeline(options);
});
})
.fail(function(reason) {
self.debug("corpus.find fail", reason);
deferred.reject(reason);
});
});
return deferred.promise;
}
},
convertTableIntoDataList: {
value: function(options) {
this.warn("convertTableIntoDataList is deprecated, use convertMatrixIntoDataList");
return this.convertMatrixIntoDataList(options);
}
},
convertMatrixIntoDataList: {
value: function() {
var self = this,
deferred = Q.defer();
if (this.importType === "participants" && (!this.corpus || !this.corpus.confidential || !this.corpus.confidential.secretkey)) {
Q.nextTick(function() {
deferred.reject({
userFriendlyErrors: ["Cannot create encrypted participants at this time", "Corpus's encrypter isn't available right now, maybe the app is still loading?"]
});
});
return deferred.promise;
}
if (!this.asFieldMatrix || this.asFieldMatrix.length === 0) {
Q.nextTick(function() {
deferred.reject({
userFriendlyErrors: ["There was nothing to import. Are you sure you ran step 1?"]
});
});
return deferred.promise;
}
Q.nextTick(function() {
deferred.resolve(self.datalist);
});
try {
if (!self.progress) {
self.progress = {
total: 0,
completed: 0
};
}
self.progress.total = self.asFieldMatrix.length;
var filename = " typing/copy paste into text area";
var descript = "This is the data list which results from the import of the text typed/pasted in the import text area.";
try {
filename = self.files.map(function(file) {
return file.name;
}).join(", ");
descript = "This is the data list which results from the import of these file(s). " + self.fileDetails;
} catch (e) {
self.todo("turn the copy pasted text into a File to upload");
}
// self.render();
self.session.consultants = [];
/* put metadata in the session goals */
Iif (self.metadataLines) {
self.session.goal = self.metadataLines.join("\n") + "\n" + self.session.goal;
}
self.render("session");
self.datalist.description = descript;
if (!self.extractedHeaderObjects) {
self.warn("There was no extracted header.");
Eif (self.asFieldMatrix && self.asFieldMatrix.length > 0 && self.asFieldMatrix[0].concat) {
self.warn("Using the first row as the extracted header.");
self.extractedHeaderObjects = self.asFieldMatrix[0].concat([]);
// self.extractedHeaderObjects = JSON.parse(JSON.stringify(self.asFieldMatrix[0]));
// self.extractedHeaderObjects = self.asFieldMatrix.shift();
self.extractedHeaderObjects = self.extractedHeaderObjects.map(function(object) {
Iif (object === "" || object === undefined || object === null) {
return;
}
Eif (object && !object.id && object.value !== undefined && object.value !== null) {
object.id = object.value;
object.value = "";
}
return object;
});
} else {
return deferred.promise;
}
}
var fieldLabelFromExtractedHeader,
correspondingDatumField,
columnIndex;
try {
var getColumnHeadings = function(obj) {
if (obj && obj.id && obj.id !== "columnplaceholder") {
return "";
}
return obj.id;
};
// this.debugMode = true;
for (columnIndex = 0; columnIndex < self.extractedHeaderObjects.length; columnIndex++) {
fieldLabelFromExtractedHeader = self.extractedHeaderObjects[columnIndex].id || self.extractedHeaderObjects[columnIndex];
correspondingDatumField = self.normalizeImportFieldWithExistingCorpusFields(fieldLabelFromExtractedHeader);
Eif (correspondingDatumField && correspondingDatumField.id) {
var fields = self.extractedHeaderObjects.map(getColumnHeadings);
Iif (fields.indexOf(correspondingDatumField.id) >= 0) {
self.bug("You seem to have some column labels '" + correspondingDatumField.id + "' that are duplicated" +
" (the same label on two columns). This will result in a strange " +
"import where only the second of the two will be used in the import. " +
"Is this really what you want?.");
}
}
self.debug(columnIndex + " correspondingDatumField", correspondingDatumField);
self.debug("setting extractedHeaderObjects was once problematic", self.extractedHeaderObjects[columnIndex], correspondingDatumField);
self.extractedHeaderObjects[columnIndex] = correspondingDatumField;
}
// this.debugMode = false;
} catch (e) {
this.warn(e);
this.warn(e.stack);
throw new Error(" problem in extractedHeaderObjects ");
}
Iif (self.debugMode) {
// self.debug(" these are the extracted header cells ", self.extractedHeaderObjects.map(function(field) {
// return field.id;
// }));
}
self.debug("JSON.stringify(self.extractedHeaderObjects, null, 2)");
self.extractedHeaderObjects.map(function(headerField) {
self.debug("headerField", headerField);
});
/*
* Cycle through all the rows in table and create a datum with the matching fields.
*/
var testForEmptyness,
cellIndex,
cell;
self.asFieldMatrix.map(function(row) {
self.progress.completed = self.progress.completed + 1;
if (!row || row.length < 1) {
self.debug("Skipping empty row");
return;
}
self.debug("Working on row ", row);
var docToSave;
self.debug("Cloning fields ", self.extractedHeaderObjects.length);
var fields = self.extractedHeaderObjects.map(function(headerField) {
return headerField.toJSON();
});
self.debug("Cloned fields ", fields.length);
self.debug("fields[0] equals extractedHeaderObjects[0]", fields[0] === self.extractedHeaderObjects[0]);
if (self.importType === "participants") {
docToSave = new Participant({
fields: fields
});
self.debug("Creating a participant.", row);
} else Iif (self.importType === "audioVideo") {
docToSave = new AudioVideo();
docToSave.description = self.rawText; //TODO look into the textgrid import
self.debug("Creating a audioVideo.", docToSave.description);
} else {
docToSave = new Datum({
fields: fields
});
self.debug("Creating a datum.", row);
}
docToSave.confidential = self.corpus.confidential;
// docToSave.decryptedMode = true;
// return;
testForEmptyness = "";
for (cellIndex = 0; cellIndex < row.length; cellIndex++) {
cell = row[cellIndex];
self.debug("working on cell ", cell);
if (!cell || cellIndex > self.extractedHeaderObjects.length || self.extractedHeaderObjects[cellIndex].id === "columnplaceholder") {
self.debug("Skipping column " + cellIndex + " :", cell);
continue;
}
Iif (self.importType === "audioVideo") {
self.debug("this is an audioVideo but we arent doing anything with the self.importFields");
} else {
for (var attrib in cell) {
Eif (cell.hasOwnProperty(attrib)) {
docToSave.fields._collection[cellIndex][attrib] = cell[attrib];
}
}
/* user can edit the matrix and it will show in the data list */
row[cellIndex] = docToSave.fields._collection[cellIndex];
}
testForEmptyness += cell.value;
}
//if the table row has more than 2 non-white space characters, enter it as data
if (testForEmptyness.replace(/[ \t\n]/g, "").length >= 2) {
Iif (self.debugMode) {
// self.debug("new doc", docToSave.fields.map(function(field) {
// return field.value
// }));
}
// docToSave.tempId = docToSave.id = FieldDBObject.uuidGenerator();
Eif (docToSave) {
docToSave.tempId = FieldDBObject.uuidGenerator();
docToSave.dbname = self.corpus.dbname;
self.datalist.add(docToSave);
}
} else {
self.debug("Didn't add row with only blank cells:" + testForEmptyness + ": ");
}
});
self.debug("Finished building the data list");
self.showImportThirdStep = true;
self.render();
self.progress.total = self.progress.completed = self.datalist.length;
// /*
// * after building an array of datumobjects, turn them into backbone objects
// */
// var eachFileDetails = function(fileDetails) {
// var details = JSON.parse(JSON.stringify(fileDetails));
// delete details.textgrid;
// audioFileDescriptionsKeyedByFilename[fileDetails.fileBaseName + ".mp3"] = details;
// };
// var forEachRow = function(index, value) {
// if (index === "" || index === undefined) {
// //do nothing
// }
// /* TODO removing old tag code for */
// // else if (index === "datumTags") {
// // var tags = value.split(" ");
// // for(g in tags){
// // var t = new DatumTag({
// // "tag" : tags[g]
// // });
// // d.get("datumTags").add(t);
// // }
// // }
// /* turn the CheckedWithConsultant and ToBeCheckedWithConsultantinto columns into a status, with that string as the person */
// else if (index.toLowerCase().indexOf("checkedwithconsultant") > -1) {
// var consultants = [];
// if (value.indexOf(",") > -1) {
// consultants = value.split(",");
// } else if (value.indexOf(";") > -1) {
// consultants = value.split(";");
// } else {
// consultants = value.split(" ");
// }
// var validationStati = [];
// for (var g in consultants) {
// var consultantusername = consultants[g].toLowerCase();
// self.consultants.push(consultantusername);
// if (!consultantusername) {
// continue;
// }
// var validationType = "CheckedWith";
// var validationColor = "success";
// if (index.toLowerCase().indexOf("ToBeChecked") > -1) {
// validationType = "ToBeCheckedWith";
// validationColor = "warning";
// }
// var validationString = validationType + consultants[g].replace(/[- _.]/g, "");
// validationStati.push(validationString);
// var n = fields.where({
// label: "validationStatus"
// })[0];
// /* add to any exisitng validation states */
// var validationStatus = n.get("mask") || "";
// validationStatus = validationStatus + " ";
// validationStatus = validationStatus + validationStati.join(" ");
// var uniqueStati = _.unique(validationStatus.trim().split(" "));
// n.set("mask", uniqueStati.join(" "));
// // ROUGH DRAFT of adding CONSULTANTS logic TODO do self in the angular app, dont bother with the backbone app
// // /* get the initials from the data */
// // var consultantCode = consultants[g].replace(/[a-z -]/g,"");
// // if(consultantusername.length === 2){
// // consultantCode = consultantusername;
// // }
// // if(consultantCode.length < 2){
// // consultantCode = consultantCode+"C";
// // }
// // var c = new Consultant("username", consultantCode);
// // /* use the value in the cell for the checked with state, but don't keep the spaces */
// // var validationType = "CheckedWith";
// // if(index.toLowerCase().indexOf("ToBeChecked") > -1){
// // validationType = "ToBeCheckedWith";
// // }
// // /*
// // * This function uses the consultant code to create a new validation status
// // */
// // var onceWeGetTheConsultant = function(){
// // var validationString = validationType+consultants[g].replace(/ /g,"");
// // validationStati.push(validationString);
// // var n = fields.where({label: "validationStatus"})[0];
// // if(n !== undefined){
// // /* add to any exisitng validation states */
// // var validationStatus = n.get("mask") || "";
// // validationStatus = validationStatus + " ";
// // validationStatus = validationStatus + validationStati.join(" ");
// // var uniqueStati = _.unique(validationStatus.trim().split(" "));
// // n.set("mask", uniqueStati.join(" "));
// // }
// // };
// // /*
// // * This function creates a consultant code and then calls
// // * onceWeGetTheConsultant to create a new validation status
// // */
// // var callIfItsANewConsultant = function(){
// // var dialect = "";
// // var language = "";
// // try{
// // dialect = fields.where({label: "dialect"})[0] || "";
// // language = fields.where({label: "language"})[0] || "";
// // }catch(e){
// // self.debug("Couldn't get self consultant's dialect or language");
// // }
// // c = new Consultant({filledWithDefaults: true});
// // c.set("username", Date.now());
// // if(dialect)
// // c.set("dialect", dialect);
// // if(dialect)
// // c.set("language", language);
// //
// // onceWeGetTheConsultant();
// // };
// // c.fetch({
// // success : function(model, response, options) {
// // onceWeGetTheConsultant();
// // },
// // error : function(model, xhr, options) {
// // callIfItsANewConsultant();
// // }
// // });
// }
// } else if (index === "validationStatus") {
// var eachValidationStatus = fields.where({
// label: index
// })[0];
// if (eachValidationStatus !== undefined) {
// /* add to any exisitng validation states */
// var selfValidationStatus = eachValidationStatus.get("mask") || "";
// selfValidationStatus = selfValidationStatus + " ";
// selfValidationStatus = selfValidationStatus + value;
// var selfUniqueStati = _.unique(selfValidationStatus.trim().split(" "));
// eachValidationStatus.set("mask", selfUniqueStati.join(" "));
// }
// } else if (index === "audioFileName") {
// if (!audioVideo) {
// audioVideo = new AudioVideo();
// }
// audioVideo.set("filename", value);
// audioVideo.set("orginalFilename", audioFileDescriptionsKeyedByFilename[value] ? audioFileDescriptionsKeyedByFilename[value].name : "");
// audioVideo.set("URL", self.audioUrl + "/" + window.app.get("corpus").dbname + "/" + value);
// audioVideo.set("description", audioFileDescriptionsKeyedByFilename[value] ? audioFileDescriptionsKeyedByFilename[value].description : "");
// audioVideo.set("details", audioFileDescriptionsKeyedByFilename[value]);
// } else if (index === "startTime") {
// if (!audioVideo) {
// audioVideo = new AudioVideo();
// }
// audioVideo.set("startTime", value);
// } else if (index === "endTime") {
// if (!audioVideo) {
// audioVideo = new AudioVideo();
// }
// audioVideo.set("endTime", value);
// } else {
// var knownlowercasefields = "utterance,gloss,morphemes,translation".split();
// if (knownlowercasefields.indexOf(index.toLowerCase()) > -1) {
// index = index.toLowerCase();
// }
// var igtField = fields.where({
// label: index
// })[0];
// if (igtField !== undefined) {
// igtField.set("mask", value);
// }
// }
// };
// for (var a in array) {
// var d = new Datum({
// filledWithDefaults: true,
// dbname: self.dbname
// });
// //copy the corpus"s datum fields and empty them.
// var datumfields = self.importFields.clone();
// for (var x in datumfields) {
// datumfields[x].mask = "";
// datumfields[x].value = "";
// }
// var fields = new DatumFields(datumfields);
// var audioVideo = null;
// var audioFileDescriptionsKeyedByFilename = {};
// if (self.files && self.files.map) {
// self.files.map(eachFileDetails);
// }
// $.each(array[a], forEachRow);
// d.set("fields", fields);
// if (audioVideo) {
// d.audioVideo.add(audioVideo);
// if (self.debugMode) {
// self.debug(JSON.stringify(audioVideo.toJSON()) + JSON.stringify(fields.toJSON()));
// }
// }
// // var states = window.app.get("corpus").get("datumStates").clone();
// // d.set("datumStates", states);
// d.set("session", self.get("session"));
// //these are temp datums, dont save them until the user saves the data list
// self.importPaginatedDataListDatumsView.collection.add(d);
// // self.dataListView.model.get("datumIds").push(d.id); the datum has no id, cannot put in datumIds
// d.lookForSimilarDatum();
// self.get("files").push(d);
// }
// self.set("consultants", _.unique(self.consultants).join(","));
// self.importPaginatedDataListDatumsView.renderUpdatedPaginationControl();
// $(".approve-save").removeAttr("disabled");
// $(".approve-save").removeClass("disabled");
} catch (e) {
self.warn("There was a problem while converting the matrix into a data list.", e);
self.warn(e.stack);
deferred.reject("There was a problem while converting the matrix into a data list.");
}
return deferred.promise;
}
},
// savedcount : 0,
// savedindex : [],
// savefailedcount : 0,
// savefailedindex : [],
// nextsavedatum : 0,
preprocess: {
value: function(options) {
var deferred = Q.defer(),
self = this;
this.verbose("In the preprocess", this);
Q.nextTick(function() {
self.debug("Preprocessing ");
// self.debug('options.datum', options.datum);
options.datum.fields.orthography.value = options.rawText;
if (options.datum.fields.utterance) {
options.datum.fields.utterance.value = options.rawText;
}
options.datum.id = options.datum.tempId = options.id || options.uri.replace(new RegExp(".*" + options.dbname + "/"), "");
Eif (options.datum.id.lastIndexOf("/") > -1) {
options.datum.id = options.datum.tempId = options.datum.id.substring(options.datum.id.lastIndexOf("/") + 1, options.datum.id.lastIndexOf("."));
}
// let the application customize the preprocess function
if (typeof options.preprocessOptions.preprocessFunction === "function") {
options.preprocessOptions.preprocessFunction(options.datum);
}
self.debug("running write for preprocessed");
Iif (!options.preprocessOptions || !options.preprocessOptions.writePreprocessedFileFunction) {
return deferred.resolve(options);
}
var extension = ".fielddb";
Iif (self.application && self.application.brandLowerCase) {
extension = "." + self.application.brandLowerCase;
}
options.preprocessedUri = options.uri + extension;
// options.preprocessedUri = "." + options.uri.substring(0, options.uri.lastIndexOf(".")) + ".preprocessed";
var preprocessResult = JSON.stringify(options.datum.toJSON(false, "removeempty"), null, 2);
try {
options.preprocessOptions.writePreprocessedFileFunction({
preprocessedUri: options.preprocessedUri,
body: preprocessResult
},
function(err, data) {
Iif (err) {
self.debug("Couldnt write " + options.preprocessedUri, err);
return deferred.reject(err);
}
self.debug("Wrote " + options.preprocessedUri, data);
self.debug("Preprocesing success");
deferred.resolve(options);
});
} catch (err) {
deferred.reject(err);
}
});
return deferred.promise;
}
},
importFields: {
get: function() {
if (!this._importFields || this._importFields.length === 0) {
if (this.importType === "participants") {
if (this.corpus && this.corpus.participantFields) {
this._importFields = new DatumFields(this.corpus.participantFields.clone());
} else {
this._importFields = new DatumFields(this.corpus.defaults_psycholinguistics.participantFields);
}
} else Eif (this.corpus && this.corpus.datumFields) {
this._importFields = new DatumFields(this.corpus.datumFields.clone());
}
}
Iif (!this._importFields) {
this._importFields = new DatumFields();
}
return this._importFields;
},
set: function(fields) {
this._importFields = fields;
}
},
/**
* This function looks for the field's details from the import fields, if they exist it returns those values.
*
* If the field isnt in the importFields, it looks for fields which this field should map to (eg, if the field is codepermanent it can be mapped to anonymouscode)
* @param {String/Object} field A datumField to look for, or the label/id of a datum field to look for.
* @return {DatumField} A datum field with details filled in from the corresponding field in the corpus, or from a template.
*/
normalizeImportFieldWithExistingCorpusFields: {
value: function(field) {
var correspondingDatumField;
Eif (this.corpus && this.corpus.normalizeFieldWithExistingCorpusFields) {
correspondingDatumField = this.corpus.normalizeFieldWithExistingCorpusFields(field, this.importFields);
}
this.debug("correspondingDatumField ", correspondingDatumField);
if (correspondingDatumField) {
return correspondingDatumField;
} else {
return new DatumField({
id: "columnplaceholder",
value: ""
});
}
}
},
/**
* Executes the final import if the options indicate that it should be executed, by default it only produces a dry run.
*
* @type {Object}
*/
import: {
value: function(options) {
var deferred = Q.defer(),
self = this;
this.todo("TODO test the import");
var savePromises = [];
var docsToSave = [];
if (this.datalist.docs && this.datalist.docs._collection) {
docsToSave = this.datalist.docs._collection;
} else {
this.warn("There were no docs prepared for import, this is odd.");
}
self.progress = self.progress || {};
docsToSave.map(function(builtDoc) {
if (self.importType === "audioVideo") {
self.debug("not doing any save for an audio video import");
} else {
self.bug("test the save on the new docs from import");
if (self.importType === "participant") {
builtDoc.id = builtDoc.anonymousCode || Date.now();
}
builtDoc.session = self.session;
self.debug(" saving", builtDoc.id);
self.progress.total++;
// self.datalist.docs.add(builtDoc);
var promise = builtDoc.save();
promise.then(function(success) {
self.debug(success);
self.progress.completed++;
}, function(error) {
self.debug(error);
self.progress.completed++;
}).fail(function(error) {
console.error(error.stack, self);
deferred.reject(error);
});
savePromises.push(promise);
}
});
Q.allSettled(savePromises).then(function(results) {
self.debug(results);
deferred.resolve(results);
self.progress.completed++;
self.render();
return options;
}, function(results) {
self.debug(results);
deferred.resolve(results);
self.progress.completed++;
self.render();
return options;
}).fail(function(error) {
console.error(error.stack, self);
deferred.reject(error);
});
return deferred.promise;
}
},
fileDetails: {
get: function() {
return this._fileDetails || FieldDBObject.DEFAULT_STRING;
},
set: function(value) {
this._fileDetails = value;
}
},
/**
* Holds meta data about the imported data list and references to the datum ids
*
* @type {Object}
*/
datalist: {
get: function() {
if (!this.session || !this.session.datalist) {
return;
// this.debug("creating a default data list");
// this.session.datalist = new DataList();
// console.log("this.session.datalist", this.session.datalist);
}
return this.session.datalist;
},
set: function(value) {
Iif (this._session && value === this._session.datalist) {
return this;
}
if (!value || !value.docs || !value.docs.primaryKey || value.docs.primaryKey !== "tempId") {
this.warn(" not setting the datalist, its missing some stuff ", value);
return this;
}
this.debug(" setting the _session.datalist", value.docs.primaryKey);
delete this._session._datalist;
this._session.initializeDatalist(value);
return this;
}
},
session: {
get: function() {
if (!this._session) {
this.debug("There's no session!");
return;
}
this.debug("getting the _session " + this._session.fields.length);
return this._session;
},
set: function(value) {
Iif (value === this._session) {
return;
}
if (!value || !value.datalist || !value.datalist.docs) {
this.warn(" not setting the session on import, its missing some stuff ", value);
return;
}
value.datalist.docs.primaryKey = "tempId";
var datalist = value.datalist;
this.debug(" setting the _session", value);
Eif (!(value instanceof Session)) {
value = new Session(value);
}
this.debug(" setting the _session's datalist", datalist);
this._session = value;
// this._session.initializeDatalist(datalist);
this.datalist = datalist;
return;
}
},
/**
* Holds the files themselves while the import is in process
*
* @type {Object}
*/
files: {
get: function() {
this.debug("Getting Datum collection");
if (!this._files) {
this._files = new Collection({
id: "importfiles",
inverted: false,
primaryKey: "fileName"
});
}
this.debug("Returning a collection");
return this._files;
},
set: function(value) {
Iif (value === this._files) {
return;
}
this._files = value;
}
},
/**
* Saves the import's state to file to be resumed or reviewed later
*
* @type {Object}
*/
pause: {
value: function() {
return this;
}
},
/**
* Resumes a previous import from a json object, or a uri containing json
*
* @type {Object}
*/
resume: {
value: function() {
return this;
}
},
id: {
get: function() {
if (this.datalist) {
return this.datalist.id;
}
},
set: function(value) {
if (this.datalist) {
this.datalist.id = value;
}
}
},
url: {
value: "/datalists"
},
corpus: {
get: function() {
if (!this._corpus) {
// throw new Error("Import\"s corpus is undefined");
// this.warn("Import\"s corpus is undefined");
return;
}
return this._corpus;
},
set: function(value) {
Iif (value === this._corpus) {
return;
}
this._corpus = value;
}
},
asFieldMatrix: {
get: function() {
return this._asFieldMatrix;
},
set: function(value) {
this._asFieldMatrix = value;
}
},
asCSV: {
get: function() {
return this.asFieldMatrix;
},
set: function(value) {
var tryAsNumber,
tryAsDate;
value = value.map(function(row) {
return row.map(function(cell) {
Iif (cell === undefined || cell === null) {
cell = {
value: ""
};
}
Eif (typeof cell !== "object") {
cell = {
value: cell
};
}
if (cell && cell.value && typeof cell.value.trim === "function") {
cell.value = cell.value.trim();
}
if (cell.value !== "") {
tryAsNumber = Number(cell.value);
if (!isNaN(tryAsNumber)) {
cell.value = tryAsNumber;
cell.type = "number";
} else {
tryAsDate = new Date(cell.value);
if (!isNaN(tryAsDate.getDate() && tryAsDate.getYear() > 70)) {
// cell.value = tryAsDate;
cell.type = "date";
cell.json = {
"date": tryAsDate,
"timestamp": {
// "start": tryAsDate,
"end": tryAsDate.getTime(),
// "accuracy": null
}
};
}
}
}
return cell;
});
});
this.asFieldMatrix = value;
}
},
/**
* This function tries to guess if you have \n or \r as line endings
* and then tries to determine if you have "surounding your text".
*
* CSV is a common export format for Filemaker, Microsoft Excel and
* OpenOffice Spreadsheets, and could be a good format to export
* from these sources and import into FieldDB.
*
* @param text to be imported
*/
importCSV: {
value: function(text, callback) {
Iif (!text) {
return;
}
var rows = text.split("\n");
Iif (rows.length < 3) {
var macrows = text.split("\r");
if (macrows.length > rows.length) {
rows = macrows;
this.status = this.status + " Detected a \r line ending.";
}
}
var firstrow = rows[0];
var hasQuotes = false;
//If it looks like it already has quotes:
Iif (rows[0].split("", "").length > 2 && rows[5].split("", "").length > 2) {
hasQuotes = true;
this.status = this.status + " Detected text was already surrounded in quotes.";
}
for (var l in rows) {
Iif (hasQuotes) {
rows[l] = rows[l].trim().replace(/^"/, "").replace(/"$/, "").split("", "");
// var withoutQuotes = [];
// _.each(rows[l],function(d){
// withoutQuotes.push(d.replace(/"/g,""));
// });
// rows[l] = withoutQuotes;
} else {
rows[l] = this.parseLineCSV(rows[l]);
/* This was a fix for alan's data but it breaks other data. */
// var rowWithoutQuotes = rows[l].replace(/"/g,"");
// rows[l] = this.parseLineCSV(rowWithoutQuotes);
}
}
/* get the first line and set it to be the header by default */
var header = [];
Eif (rows.length > 1) {
firstrow = firstrow;
Iif (hasQuotes) {
header = firstrow.trim().replace(/^"/, "").replace(/"$/, "").split("", "");
} else {
header = this.parseLineCSV(firstrow);
}
} else if (rows.length === 1) {
header = rows[0].map(function() {
return "";
});
}
this.extractedHeaderObjects = header;
this.asCSV = rows;
Iif (typeof callback === "function") {
callback();
}
}
},
/**
* http://purbayubudi.wordpress.com/2008/11/09/csv-parser-using-javascript/
* -- CSV PARSER --
* author : Purbayu, 30Sep2008
* email : purbayubudi@gmail.com
*
* description :
* This jscript code describes how to load csv file and parse it into fields.
* Additionally, a function to display html table as result is added.
*
* disclamer:
* To use this code freely, you must put author's name in it.
*/
parseLineCSV: {
value: function(lineCSV) {
// parse csv line by line into array
var CSV = [];
var csvCharacter = ",";
this.debug(lineCSV, typeof lineCSV);
var matches = lineCSV.split(csvCharacter);
if (matches.length < 2) {
csvCharacter = ";";
}
// Insert space before character ",". This is to anticipate
// "split" in IE
// try this:
//
// var a=",,,a,,b,,c,,,,d";
// a=a.split(/\,/g);
// document.write(a.length);
//
// You will see unexpected result!
//
lineCSV = lineCSV.replace(new RegExp(csvCharacter, "g"), " " + csvCharacter);
lineCSV = lineCSV.split(new RegExp(csvCharacter, "g"));
// This is continuing of "split" issue in IE
// remove all trailing space in each field
var i,
j;
for (i = 0; i < lineCSV.length; i++) {
lineCSV[i] = lineCSV[i].replace(/\s*$/g, "");
}
lineCSV[lineCSV.length - 1] = lineCSV[lineCSV.length - 1]
.replace(/^\s*|\s*$/g, "");
var fstart = -1;
for (i = 0; i < lineCSV.length; i++) {
if (lineCSV[i].match(/"$/)) {
Eif (fstart >= 0) {
for (j = fstart + 1; j <= i; j++) {
lineCSV[fstart] = lineCSV[fstart] + csvCharacter + lineCSV[j];
lineCSV[j] = "-DELETED-";
}
fstart = -1;
}
}
fstart = (lineCSV[i].match(/^"/)) ? i : fstart;
}
j = 0;
for (i = 0; i < lineCSV.length; i++) {
if (lineCSV[i] !== "-DELETED-") {
CSV[j] = lineCSV[i];
CSV[j] = CSV[j].replace(/^\s*|\s*$/g, ""); // remove leading & trailing
// space
CSV[j] = CSV[j].replace(/^"|"$/g, ""); // remove " on the beginning
// and end
CSV[j] = CSV[j].replace(/""/g, "\""); // replace "" with "
j++;
}
}
return CSV;
}
},
importXML: {
value: function(text) {
var deferred = Q.defer();
var self = this;
Q.nextTick(function() {
try {
self.extractedHeaderObjects = [];
self.asCSV = [];
var xmlParser = new X2JS();
var jsonObj = xmlParser.xml_str2json ? xmlParser.xml_str2json(text) : xmlParser.xml2js(text);
if (jsonObj && jsonObj.lessonset) {
return deferred.resolve(self.importLessonset(jsonObj.lessonset));
}
self.warn("The app thinks this might be a XML file, but its not one we recognize. You can vote for it in our bug tracker, or add an importer for your kind of XML https://github.com/FieldDB/FieldDB/blob/master/api/import/Import.js");
} catch (err) {
deferred.reject(err);
}
deferred.resolve(self.datalist);
});
return deferred.promise;
}
},
importLessonset: {
value: function(lessonSet) {
var self = this;
var detectedDatum = [];
var detectedFieldLabels = {};
var DataList = self.session.datalist.constructor;
var languageLessonsDatalist = new DataList({
title: lessonSet.title,
dbname: self.corpus.dbname,
audioVideo: [],
unsaved: true,
docs: []
});
self.languageLessonsDatalist = languageLessonsDatalist;
self.debug("title: " + languageLessonsDatalist.title);
Iif (!lessonSet.section) {
return languageLessonsDatalist;
}
self.debug(" " + lessonSet.section.length + " sections");
lessonSet.section.forEach(function(section) {
var sectionDatalist = new DataList({
id: FieldDBObject.uuidGenerator(),
dbname: self.corpus.dbname,
title: section.title,
audioVideo: [],
unsaved: true,
type: "LanguageLearningSection",
description: Array.isArray(section.note) ? section.note.join(" ") : section.note,
designNote: Array.isArray(section.designnote) ? section.designnote.join(" ") : section.designnote,
docs: []
});
self.debug("section: " + sectionDatalist.title);
languageLessonsDatalist.docs.add(sectionDatalist);
Iif (!section.unit) {
return;
}
self.debug(" " + section.unit.length + " units");
section.unit.forEach(function(unit) {
var unitDatalist = new DataList({
id: FieldDBObject.uuidGenerator(),
dbname: self.corpus.dbname,
title: unit.title,
audioVideo: [],
unsaved: true,
type: "LanguageLearningUnit",
description: Array.isArray(unit.note) ? unit.note.join(" ") : unit.note,
designNote: Array.isArray(unit.designnote) ? unit.designnote.join(" ") : unit.designnote,
docs: []
});
self.debug(" unit: " + unitDatalist.title);
sectionDatalist.docs.add(unitDatalist);
Iif (!unit.lesson) {
return;
}
var lessons = unit.lesson;
if (!Array.isArray(lessons)) {
lessons = [unit.lesson];
}
self.debug(" " + lessons.length + " lessons");
lessons.forEach(function(lesson) {
var lessonDatalist = new DataList({
id: FieldDBObject.uuidGenerator(),
dbname: self.corpus.dbname,
title: lesson.title,
audioVideo: [],
unsaved: true,
type: "LanguageLesson",
description: Array.isArray(lesson.note) ? lesson.note.join(" ") : lesson.note,
designNote: Array.isArray(lesson.designnote) ? lesson.designnote.join(" ") : lesson.designnote,
explanation: Array.isArray(lesson.explnote) ? lesson.explnote.join(" ") : lesson.explnote,
docs: []
});
self.debug(" lesson: " + lessonDatalist.title);
unitDatalist.docs.add(lessonDatalist);
if (!lesson.dialog) {
return;
}
var dialogs = [];
if (Array.isArray(lesson.dialog)) {
dialogs = dialogs.concat(lesson.dialog.map(function(item) {
item.type = "Dialog";
return item;
}));
} else Eif (lesson.dialog) {
lesson.dialog.type = "Dialog";
dialogs.push(lesson.dialog);
}
if (Array.isArray(lesson.vocab)) {
dialogs = dialogs.concat(lesson.vocab.map(function(item) {
item.type = "Vocab";
return item;
}));
} else if (lesson.vocab) {
lesson.vocab.type = "Vocab";
dialogs.push(lesson.vocab);
}
self.debug(" " + dialogs.length + " dialogs ");
dialogs.forEach(function(dialog) {
var dialogDatalist = new DataList({
id: FieldDBObject.uuidGenerator(),
dbname: self.corpus.dbname,
title: dialog.title || lesson.title + " " + dialog.type + " " + (lessonDatalist.docs.length + 1),
audioVideo: [],
unsaved: true,
type: dialog.type,
description: Array.isArray(dialog.note) ? dialog.note.join(" ") : dialog.note,
discussion: Array.isArray(dialog.designnote) ? dialog.designnote.join(" ") : dialog.designnote,
docs: []
});
lessonDatalist.docs.add(dialogDatalist);
var lines = [];
if (Array.isArray(dialog.line)) {
lines = lines.concat(dialog.line);
} else Eif (dialog.line) {
lines.push(dialog.line);
}
Iif (!lines.length) {
return;
}
self.debug(" " + lines.length + " lines ");
// Dont create datum yet, let the user edit the fields
lines.forEach(function(line) {
var datum = self.corpus.newDatum();
Iif (line.notes) {
datum.comments = Array.isArray(line.notes) ? line.notes : [];
}
datum.tempId = FieldDBObject.uuidGenerator();
datum.id = datum.tempId;
detectedFieldLabels.id = "id";
Object.keys(line).forEach(function(key) {
Iif (["toString"].indexOf(key) > -1) {
return;
}
Eif (key && key.indexOf("_asArray") === -1) {
detectedFieldLabels[key] = key;
}
if (key === "soundfile") {
datum.audioVideo.add(new AudioVideo({
filename: line[key] + ".mp3"
}));
return;
}
if (key === "img") {
datum.images.add(new Image({
filename: line[key]
}));
// self.debug("datum", datum.toJSON());
return;
}
datum.fields.add({
id: key,
value: line[key]
});
});
dialogDatalist.docs.add(datum);
// Adding datum to the parent datalists
// so that the datum show in the prototype app
lessonDatalist.docs.add(datum);
unitDatalist.docs.add(datum);
sectionDatalist.docs.add(datum);
languageLessonsDatalist.docs.add(datum);
// TODO add audio, video, images to the parent datalists?
var audioVideoItem = datum.audioVideo._collection[0];
if (audioVideoItem) {
dialogDatalist.audioVideo.add(datum.audioVideo._collection[0]);
lessonDatalist.audioVideo.add(datum.audioVideo._collection[0]);
unitDatalist.audioVideo.add(datum.audioVideo._collection[0]);
sectionDatalist.audioVideo.add(datum.audioVideo._collection[0]);
languageLessonsDatalist.audioVideo.add(datum.audioVideo._collection[0]);
}
delete datum.tempId;
line.id = datum.id;
line.soundfile = line.soundfile ? line.soundfile + ".mp3" : "";
detectedDatum.push(line);
});
});
});
});
});
var extractedHeaderObjects = Object.keys(detectedFieldLabels).map(function(label) {
return {
value: label
};
});
self.debug("extractedHeaderObjects", extractedHeaderObjects, detectedFieldLabels);
self.extractedHeaderObjects = extractedHeaderObjects;
self._asFieldMatrix = detectedDatum.map(function(item) {
var onlyFields = {};
Object.keys(detectedFieldLabels).forEach(function(label) {
onlyFields[label] = item[label];
});
return onlyFields;
});
return self.languageLessonsDatalist;
}
},
importElanXML: {
value: function(text, callback) {
Iif (!text) {
return;
}
this.todo("import xml parsers to turn xml import back on");
Eif (true) {
return;
}
//alert("The app thinks this might be a XML file, but we haven't implemented this kind of import yet. You can vote for it in our bug tracker.");
var xmlParser = new X2JS();
window.text = text;
var jsonObj = xmlParser.xml_str2json(text);
this.debug(jsonObj);
//add the header to the session
// HEADER can be put in the session and in the datalist
var annotationDetails = JSON.stringify(jsonObj.ANNOTATION_DOCUMENT.HEADER).replace(/,/g, "\n").replace(/[\[\]{}]/g, "").replace(/:/g, " : ").replace(/"/g, "").replace(/\n/g, "").replace(/file : /g, "file:").replace(/ : \//g, ":/").trim();
//TODO turn these into session fields
this.status = this.status + "\n" + annotationDetails;
var header = [];
var tierinfo = [];
// TIER has tiers of each, create datum it says who the informant is and who the data entry person is. can turn the objects in the tier into a datum
//for tier, add rows containing
// _ANNOTATOR
tierinfo.push("_ANNOTATOR");
// _DEFAULT_LOCALE
tierinfo.push("_DEFAULT_LOCALE");
// _LINGUISTIC_TYPE_REF
tierinfo.push("_LINGUISTIC_TYPE_REF");
// _PARTICIPANT
tierinfo.push("_PARTICIPANT");
// _TIER_ID
tierinfo.push("_TIER_ID");
// __cnt
tierinfo.push("__cnt");
var annotationinfo = [];
// ANNOTATION.ALIGNABLE_ANNOTATION.ANNOTATION_VALUE.__cnt
// annotationinfo.push({"FieldDBDatumFieldName" : "ANNOTATION.ALIGNABLE_ANNOTATION.ANNOTATION_VALUE", "elanALIGNABLE_ANNOTATION": "ANNOTATION_VALUE"});
// ANNOTATION.ALIGNABLE_ANNOTATION._ANNOTATION_ID
annotationinfo.push({
"FieldDBDatumFieldName": "ANNOTATION.ALIGNABLE_ANNOTATION._ANNOTATION_ID",
"elanALIGNABLE_ANNOTATION": "_ANNOTATION_ID"
});
// ANNOTATION.ALIGNABLE_ANNOTATION._TIME_SLOT_REF1
annotationinfo.push({
"FieldDBDatumFieldName": "ANNOTATION.ALIGNABLE_ANNOTATION._TIME_SLOT_REF1",
"elanALIGNABLE_ANNOTATION": "_TIME_SLOT_REF1"
});
// ANNOTATION.ALIGNABLE_ANNOTATION._TIME_SLOT_REF2
annotationinfo.push({
"FieldDBDatumFieldName": "ANNOTATION.ALIGNABLE_ANNOTATION._TIME_SLOT_REF2",
"elanALIGNABLE_ANNOTATION": "_TIME_SLOT_REF2"
});
//
var refannotationinfo = [];
// ANNOTATION.REF_ANNOTATION.ANNOTATION_VALUE
refannotationinfo.push({
"FieldDBDatumFieldName": "ANNOTATION.REF_ANNOTATION.ANNOTATION_VALUE",
"elanREF_ANNOTATION": "ANNOTATION_VALUE"
});
// ANNOTATION.REF_ANNOTATION._ANNOTATION_ID
refannotationinfo.push({
"FieldDBDatumFieldName": "ANNOTATION.REF_ANNOTATION._ANNOTATION_ID",
"elanREF_ANNOTATION": "_ANNOTATION_ID"
});
// ANNOTATION.REF_ANNOTATION._ANNOTATION_REF
refannotationinfo.push({
"FieldDBDatumFieldName": "ANNOTATION.REF_ANNOTATION._ANNOTATION_REF",
"elanREF_ANNOTATION": "_ANNOTATION_REF"
});
header.push("_ANNOTATOR");
header.push("_DEFAULT_LOCALE");
header.push("_LINGUISTIC_TYPE_REF");
header.push("_PARTICIPANT");
header.push("_TIER_ID");
header.push("__cnt");
header.push("ANNOTATION.ALIGNABLE_ANNOTATION.ANNOTATION_VALUE");
header.push("ANNOTATION.ALIGNABLE_ANNOTATION._ANNOTATION_ID");
header.push("ANNOTATION.ALIGNABLE_ANNOTATION._TIME_SLOT_REF1");
header.push("ANNOTATION.ALIGNABLE_ANNOTATION._TIME_SLOT_REF2");
header.push("ANNOTATION.REF_ANNOTATION.ANNOTATION_VALUE");
header.push("ANNOTATION.REF_ANNOTATION._ANNOTATION_ID");
header.push("ANNOTATION.REF_ANNOTATION._ANNOTATION_REF");
//similar to toolbox
var matrix = [];
var TIER = jsonObj.ANNOTATION_DOCUMENT.TIER;
var l,
annotation,
cell;
//there are normally 8ish tiers, with different participants
for (l in TIER) {
//in those tiers are various amounts of annotations per participant
for (annotation in TIER[l].ANNOTATION) {
matrix[annotation] = [];
for (cell in tierinfo) {
matrix[annotation][tierinfo[cell]] = jsonObj.ANNOTATION_DOCUMENT.TIER[l][tierinfo[cell]];
}
try {
matrix[annotation]["ANNOTATION.ALIGNABLE_ANNOTATION.ANNOTATION_VALUE.__cnt"] = TIER[l].ANNOTATION[annotation].ALIGNABLE_ANNOTATION.ANNOTATION_VALUE.__cnt;
for (cell in annotationinfo) {
matrix[annotation][annotationinfo[cell].FieldDBDatumFieldName] = TIER[l].ANNOTATION[annotation].ALIGNABLE_ANNOTATION[annotationinfo[cell].elanALIGNABLE_ANNOTATION];
}
} catch (e) {
this.debug("TIER " + l + " doesnt seem to have a ALIGNABLE_ANNOTATION object. We don't really knwo waht the elan file format is, or why some lines ahve ALIGNABLE_ANNOTATION and some dont. So we are just skipping them for this datum.");
}
try {
for (cell in refannotationinfo) {
matrix[annotation][refannotationinfo[cell].FieldDBDatumFieldName] = TIER[l].ANNOTATION[annotation].REF_ANNOTATION[refannotationinfo[cell].elanREF_ANNOTATION];
}
} catch (e) {
this.debug("TIER " + l + " doesnt seem to have a REF_ANNOTATION object. We don't really knwo waht the elan file format is, or why some lines ahve REF_ANNOTATION and some dont. So we are just skipping them for this datum.");
}
}
}
var rows = [];
for (var d in matrix) {
var cells = [];
//loop through all the column headings, find the data for that header and put it into a row of cells
for (var h in header) {
cell = matrix[d][header[h]];
if (cell) {
cells.push(cell);
} else {
//fill the cell with a blank if that datum didn't have a header
cells.push("");
}
}
rows.push(cells);
}
if (rows === []) {
rows.push("");
}
this.extractedHeaderObjects = header;
this.asCSV = rows;
if (typeof callback === "function") {
callback();
}
}
},
/**
* This function accepts text which uses \t tabs between columns. If
* you have your data in ELAN or in Microsoft Excel or OpenOffice
* spreadsheets, this will most likely be a good format to export
* your data, and import into FieldDB. This function is triggered if
* your file has more than 100 tabs in it, FieldDB guesses that it
* should try this function.
*
* @param text to be imported
*/
importTabbed: {
value: function(text, callback) {
if (!text) {
return;
}
var rows = text.split("\n"),
l;
if (rows.length < 3) {
rows = text.split("\r");
this.status = this.status + " Detected a \n line ending.";
}
for (l in rows) {
rows[l] = rows[l].split("\t");
}
this.asCSV = rows;
if (typeof callback === "function") {
callback();
}
}
},
metadataLines: [],
/**
* This function takes in a text block, splits it on lines and then
* takes the first word with a \firstword as the data type/column
* heading and then walks through the file looking for lines that
* start with \ge and creates a new datum each time it finds \ge
* This works for verb lexicons but would be \ref if an interlinear
* gloss. TODO figure out how Toolbox knows when one data entry
* stops and another starts. It doesn't appear to be double spaces...
*
* @param text
* @param callback
*/
importToolbox: {
value: function(text, callback) {
Iif (!text) {
return;
}
var lines = text.split("\n");
var macLineEndings = false;
Iif (lines.length < 3) {
lines = text.split("\r");
macLineEndings = true;
this.status = this.status + " Detected a \r line ending.";
}
var matrix = [];
var currentDatum = -1;
var header = [];
var columnhead = "";
var firstToolboxField = "";
/* Looks for the first line of the toolbox data */
while (!firstToolboxField && lines.length > 0) {
var potentialToolBoxFieldMatches = lines[0].match(/^\\[a-zA-Z]+\b/);
Eif (potentialToolBoxFieldMatches && potentialToolBoxFieldMatches.length > 0) {
firstToolboxField = potentialToolBoxFieldMatches[0];
} else {
/* remove the line, and put it into the metadata lines */
this.metadataLines.push(lines.shift());
}
}
for (var l in lines) {
//Its a new row
if (lines[l].indexOf(firstToolboxField) === 0) {
currentDatum += 1;
matrix[currentDatum] = {};
matrix[currentDatum][firstToolboxField.replace(/\\/g, "")] = lines[l].replace(firstToolboxField, "").trim();
header.push(firstToolboxField.replace(/\\/g, ""));
} else {
Eif (currentDatum >= 0) {
//If the line starts with \ its a column
if (lines[l].match(/^\\/)) {
var pieces = lines[l].split(/ +/);
columnhead = pieces[0].replace("\\", "");
matrix[currentDatum][columnhead] = lines[l].replace(pieces[0], "");
header.push(columnhead);
} else {
//add it to the current column head in the current datum, its just another line.
Eif (lines[1].trim() !== "") {
matrix[currentDatum][columnhead] += lines[l];
}
}
}
}
}
//only keep the unique headers
header = getUnique(header);
var rows = [];
for (var d in matrix) {
var cells = [];
//loop through all the column headings, find the data for that header and put it into a row of cells
for (var h in header) {
var cell = matrix[d][header[h]];
Eif (cell) {
cells.push(cell);
} else {
//fill the cell with a blank if that datum didn't have a header
cells.push("");
}
}
rows.push(cells);
}
Iif (rows === []) {
rows.push("");
}
this.extractedHeaderObjects = header;
this.asCSV = rows;
Iif (typeof callback === "function") {
callback();
}
}
},
importMorphChallengeSegmentation: {
value: function(text, self, callback) {
var rows = text.trim().split("\n");
if (rows.length < 3) {
rows = text.split("\r");
self.status = self.status + " Detected a \n line ending.";
}
var row,
original,
twoPieces,
word,
alternates,
morphemes,
gloss,
source,
l,
filename = self.files[0].name;
var header = ["orthography", "utterance", "morphemes", "gloss", "alternatesAnalyses", "alternates", "original", "source"];
var convertFlatIGTtoObject = function(alternateParse) {
morphemes = alternateParse.trim().split(" ");
// self.debug("working on alternateParse", morphemes);
return morphemes.map(function(morpheme) {
return {
morphemes: morpheme.split(":")[0],
gloss: morpheme.split(":")[1]
};
});
};
var extractMorphemesFromIGT = function(alternate) {
return alternate.morphemes.replace("+", "");
};
var extractGlossFromIGT = function(alternate) {
return alternate.gloss.replace("+", "");
};
for (l in rows) {
row = original = rows[l] + "";
source = filename + ":line:" + l;
twoPieces = row.split(/\t/);
word = twoPieces[0];
if (!twoPieces || !twoPieces[1]) {
continue;
}
alternates = twoPieces[1].split(",");
alternates = alternates.map(convertFlatIGTtoObject);
morphemes = alternates[0].map(extractMorphemesFromIGT).join("-");
gloss = alternates[0].map(extractGlossFromIGT).join("-");
alternates.shift();
// get alternative morpheme analyses so they show in the app.
var alternateMorphemes = [];
for (var alternateIndex = 0; alternateIndex < alternates; alternateIndex++) {
alternateMorphemes.push(alternates[alternateIndex].map(extractMorphemesFromIGT).join("-"));
}
rows[l] = [word, word, morphemes, gloss, twoPieces[1], alternateMorphemes.join(","), original + "", source];
}
self.extractedHeaderObjects = header;
self.asCSV = rows;
if (typeof callback === "function") {
callback();
}
}
},
uploadFiles: {
value: function(files) {
var deferred = Q.defer(),
self = this;
self.error = "";
self.status = "";
Q.nextTick(function() {
var uploadUrl = new AudioVideo().BASE_SPEECH_URL + "/upload/extract/utterances";
// var data = {
// files: files,
// token: self.token,
// dbname: self.dbname,
// username: self.username,
// returnTextGrid: self.returnTextGrid
// };
//
var data = new FormData();
// for (var ?fileIndex = 0; fileIndex > files.length; fileIndex++) {
// data.append("file" + fileIndex, files[fileIndex]);
// }
// data.files = files;
self.todo("use the files passed instead of jquery ", files);
// http://stackoverflow.com/questions/24626177/how-to-create-an-image-file-from-a-dataurl
if (files.indexOf("data") === 0) {
// data.append("data", files); //test new split
// var base64 = files.split("base64,")[1];
var blob = dataURItoBlob(files);
// blob.name = "file_" + Date.now() + "." + blob.type.split("/")[1];
// blob.lastModfied = Date.now();
// blob.lastModifiedDate = new Date(blob.lastModfied);
// fd.append("canvasImage", blob);
//http://www.nczonline.net/blog/2012/06/05/working-with-files-in-javascript-part-5-blobs/
// var reconstructedFile = new File("file_" + Date.now() + ".mp3", blob, "audio/mpeg");
//http://stackoverflow.com/questions/8390855/how-to-instantiate-a-file-object-in-javascript
files = [blob];
}
self.rawText = "";
$.each(files, function(i, file) {
data.append(i, file);
if (file.name) {
self.rawText = self.rawText + " " + file.name;
}
});
if (self.rawText && self.rawText.trim()) {
// window.alert("rendering import");
self.rawText = self.rawText.trim();
self.render();
}
if (!self.dbname && self.parent && self.parent.dbname) {
self.dbname = self.parent.dbname;
}
// data.append("files", files);
data.append("token", self.uploadtoken || "uploadingfromspreadsheet");
data.append("pouchname", self.dbname);
data.append("dbname", self.dbname);
data.append("username", self.application.authentication.user.username);
data.append("returnTextGrid", self.returnTextGrid || true);
self.audioVideo = null;
// this.model.audioVideo.reset();
$.ajax({
url: uploadUrl,
type: "post",
// dataType: 'json',
cache: false,
// withCredentials: false,
contentType: false,
processData: false,
data: data,
success: function(results) {
if (results && results.status === 200) {
self.uploadDetails = results;
self.files = results.files;
self.status = "File(s) uploaded and utterances were extracted.";
var messages = [];
self.rawText = "";
/* Check for any textgrids which failed */
for (var fileIndex = 0; fileIndex < results.files.length; fileIndex++) {
if (results.files[fileIndex].textGridStatus >= 400) {
self.debug(results.files[fileIndex]);
var instructions = results.files[fileIndex].textGridInfo;
if (results.files[fileIndex].textGridStatus >= 500) {
instructions = " Please report this error.";
}
messages.push("Generating the textgrid for " + results.files[fileIndex].fileBaseName + " seems to have failed. " + instructions);
results.files[fileIndex].filename = results.files[fileIndex].name;
if (results.files[fileIndex].type && (results.files[fileIndex].type.indexOf("audio") > -1 || results.files[fileIndex].type.indexOf("video") > -1)) {
results.files[fileIndex].filename = results.files[fileIndex].fileBaseName + ".mp3";
}
results.files[fileIndex].URL = new AudioVideo().BASE_SPEECH_URL + "/" + self.corpus.dbname + "/" + results.files[fileIndex].filename;
results.files[fileIndex].description = results.files[fileIndex].description || "File from import";
self.addAudioVideoFile(results.files[fileIndex]);
} else {
self.downloadTextGrid(results.files[fileIndex]);
}
}
if (messages.length > 0) {
self.status = messages.join(", ");
deferred.resolve(self.status);
// $(self.el).find(".status").html(self.get("status"));
// if(window && window.appView && typeof window.appView.toastUser === "function") window.appView.toastUser(messages.join(", "), "alert-danger", "Import:");
}
} else {
self.debug(results);
var message = "Upload might have failed to complete processing on your file(s). Please report this error.";
self.status = message + ": " + JSON.stringify(results);
deferred.reject(message);
// if(window && window.appView && typeof window.appView.toastUser === "function") window.appView.toastUser(message, "alert-danger", "Import:");
}
// $(self.el).find(".status").html(self.get("status"));
},
error: function(response) {
var reason = {};
if (response && response.responseJSON) {
reason = response.responseJSON;
} else {
var message = "Error contacting the server. ";
if (response.status >= 500) {
message = message + " Please report this error.";
} else if (response.status === 413) {
message = message + " Your file is too big for upload, please try using FFMpeg to convert it to an mp3 for upload (you can still use your original video/audio in the app when the utterance chunking is done on an mp3.) ";
} else {
message = message + " Are you offline? If you are online and you still recieve this error, please report it to us: ";
}
reason = {
status: response.status,
userFriendlyErrors: [message + response.status]
};
}
self.debug(reason);
if (reason && reason.userFriendlyErrors) {
self.status = "";
self.error = "Upload error: " + reason.userFriendlyErrors.join(" ");
self.bug(self.error);
// if(window && window.appView && typeof window.appView.toastUser === "function") window.appView.toastUser(reason.userFriendlyErrors.join(" "), "alert-danger", "Import:");
// $(self.el).find(".status").html(self.get("status"));
}
deferred.reject(self.error);
}
});
self.status = "Contacting server...";
// $(this.el).find(".status").html(this.model.get("status"));
});
return deferred.promise;
}
},
downloadTextGrid: {
value: function(fileDetails) {
var self = this;
var textridUrl = new AudioVideo().BASE_SPEECH_URL + "/" + this.corpus.dbname + "/" + fileDetails.fileBaseName + ".TextGrid";
CORS.makeCORSRequest({
url: textridUrl,
type: "GET",
withCredentials: false
}).then(function(results) {
if (results) {
fileDetails.textgrid = results;
var syllables = "unknown";
if (fileDetails.syllablesAndUtterances && fileDetails.syllablesAndUtterances.syllableCount) {
syllables = fileDetails.syllablesAndUtterances.syllableCount;
}
var pauses = "unknown";
if (fileDetails.syllablesAndUtterances && fileDetails.syllablesAndUtterances.pauseCount) {
pauses = parseInt(fileDetails.syllablesAndUtterances.pauseCount, 10);
}
var utteranceCount = 1;
if (pauses > 0) {
utteranceCount = pauses + 2;
}
var message = " Downloaded Praat TextGrid which contained a count of roughly " + syllables + " syllables and auto detected utterances for " + fileDetails.fileBaseName + " The utterances were not automatically transcribed for you, you can either save the textgrid and transcribe them using Praat, or continue to import them and transcribe them after.";
fileDetails.description = message;
self.status = self.status + "<br/>" + message;
self.fileDetails = self.status + message;
if (window && window.appView && typeof window.appView.toastUser === "function") {
window.appView.toastUser(message, "alert-info", "Import:");
}
self.rawText = self.rawText.trim() + "\n\n\nFile name = " + fileDetails.fileBaseName + ".mp3\n" + results;
if (!self.parent) {
self.importTextGrid(self.rawText, null);
} else {
self.debug("Not showing second import step, this looks like its audio import only.");
}
fileDetails.filename = fileDetails.fileBaseName + ".mp3";
fileDetails.URL = new AudioVideo().BASE_SPEECH_URL + "/" + self.corpus.dbname + "/" + fileDetails.fileBaseName + ".mp3";
self.addAudioVideoFile(fileDetails);
self.rawText = self.rawText.trim();
} else {
self.debug(results);
fileDetails.textgrid = "Error result was empty. " + results;
}
}, function(response) {
var reason = {};
if (response && response.responseJSON) {
reason = response.responseJSON;
} else {
var message = "Error contacting the server. ";
if (response.status >= 500) {
message = message + " Please report this error.";
} else {
message = message + " Are you offline? If you are online and you still recieve this error, please report it to us: ";
}
reason = {
status: response.status,
userFriendlyErrors: [message + response.status]
};
}
self.debug(reason);
if (reason && reason.userFriendlyErrors) {
self.status = fileDetails.fileBaseName + "import error: " + reason.userFriendlyErrors.join(" ");
if (window && window.appView && typeof window.appView.toastUser === "function") {
window.appView.toastUser(reason.userFriendlyErrors.join(" "), "alert-danger", "Import:");
}
}
}).fail(function(error) {
console.error(error.stack, self);
});
}
},
addAudioVideoFile: {
value: function(details) {
if (!details) {
this.warn("No details were provided to add be added to any file collection.");
return;
}
var fileCollection = "relatedData";
if (details.type.indexOf("image") > -1) {
fileCollection = "images";
details = new FieldDBImage(details);
} else if (details.type.indexOf("audio") > -1 || details.type.indexOf("video") > -1) {
fileCollection = "audioVideo";
}
if (!this[fileCollection]) {
this[fileCollection] = new AudioVideos();
}
this[fileCollection].add(details);
if (this.parent) {
if (typeof this.parent.markAsNeedsToBeSaved === "function") {
this.parent.markAsNeedsToBeSaved();
}
if (typeof this.parent.addFile === "function") {
this.parent.addFile(details);
} else if (this.parent.audioVideo && typeof this.parent.audioVideo.push === "function") {
this.parent.audioVideo.push(details);
} else {
this.bug("There was a problem attaching this file. Please report this.");
}
this.render();
// this.asCSV = [];
}
}
},
importTextGrid: {
value: function(text, callback) {
Iif (!text) {
return;
}
// alert("The app thinks this might be a Praat TextGrid file, but we haven't implemented this kind of import yet. You can vote for it in our bug tracker.");
var textgrid = TextGrid.textgridToIGT(text);
var audioFileName = "copypastedtextgrid_unknownaudio";
Iif (this.files && this.files[0] && this.files[0].name) {
audioFileName = this.files[0].name;
}
audioFileName = audioFileName.replace(/\.textgrid/i, "");
Iif (!textgrid || !textgrid.intervalsByXmin) {
if (typeof callback === "function") {
callback();
}
}
var matrix = [],
h,
itemIndex,
intervalIndex,
row,
interval;
var header = [];
var consultants = [];
Iif (textgrid.isIGTNestedOrAlignedOrBySpeaker.probablyAligned) {
for (itemIndex in textgrid.intervalsByXmin) {
if (!textgrid.intervalsByXmin.hasOwnProperty(itemIndex)) {
continue;
}
if (textgrid.intervalsByXmin[itemIndex]) {
row = {};
for (intervalIndex = 0; intervalIndex < textgrid.intervalsByXmin[itemIndex].length; intervalIndex++) {
interval = textgrid.intervalsByXmin[itemIndex][intervalIndex];
row.startTime = row.startTime ? row.startTime : interval.xmin;
row.endTime = row.endTime ? row.endTime : interval.xmax;
row.utterance = row.utterance ? row.utterance : interval.text.trim();
row.modality = "spoken";
row.tier = interval.tierName;
row.speakers = interval.speaker;
row.audioFileName = interval.fileName || audioFileName;
row.CheckedWithConsultant = interval.speaker;
consultants.push(row.speakers);
row[interval.tierName] = interval.text;
header.push(interval.tierName);
}
matrix.push(row);
}
}
} else {
for (itemIndex in textgrid.intervalsByXmin) {
Iif (!textgrid.intervalsByXmin.hasOwnProperty(itemIndex)) {
continue;
}
Eif (textgrid.intervalsByXmin[itemIndex]) {
for (intervalIndex = 0; intervalIndex < textgrid.intervalsByXmin[itemIndex].length; intervalIndex++) {
row = {};
interval = textgrid.intervalsByXmin[itemIndex][intervalIndex];
row.startTime = row.startTime ? row.startTime : interval.xmin;
row.endTime = row.endTime ? row.endTime : interval.xmax;
row.utterance = row.utterance ? row.utterance : interval.text.trim();
row.modality = "spoken";
row.tier = interval.tierName;
row.speakers = interval.speaker;
row.audioFileName = interval.fileName || audioFileName;
row.CheckedWithConsultant = interval.speaker;
consultants.push(row.speakers);
row[interval.tierName] = interval.text;
header.push(interval.tierName);
matrix.push(row);
}
}
}
}
header = getUnique(header);
consultants = getUnique(consultants);
Iif (consultants.length > 0) {
this.consultants = consultants.join(",");
} else {
this.consultants = "Unknown";
}
header = header.concat(["utterance", "tier", "speakers", "CheckedWithConsultant", "startTime", "endTime", "modality", "audioFileName"]);
var rows = [];
for (var d in matrix) {
var cells = [];
//loop through all the column headings, find the data for that header and put it into a row of cells
for (h in header) {
var cell = matrix[d][header[h]];
if (cell) {
cells.push(cell);
} else {
//fill the cell with a blank if that datum didn't have a that column
cells.push("");
}
}
//if the datum has any text, add it to the table
if (cells.length >= 8 && cells.slice(0, cells.length - 8).join("").replace(/[0-9.]/g, "").length > 0 && cells[cells.length - 8] !== "silent") {
// cells.push(audioFileName);
rows.push(cells);
} else {
this.debug("This row has only the default columns, not text or anything interesting.", cells);
}
}
Iif (rows === []) {
rows.push("");
}
// header.push("audioFileName");
this.extractedHeaderObjects = header;
this.asCSV = rows;
Iif (typeof callback === "function") {
callback();
}
}
},
importLatex: {
value: function() {
throw new Error("The app thinks this might be a LaTeX file, but we haven't implemented this kind of import yet. You can vote for it in our bug tracker.");
// if (typeof callback === "function") {
// callback();
// }
}
},
/**
* This function accepts text using double (or triple etc) spaces to indicate
* separate datum. Each line in the block is treated as a column in
* the table.
*
* If you have your data in Microsoft word or OpenOffice or plain
* text, then this will be the easiest format for you to import your
* data in.
*
* @param text
*/
importTextIGT: {
value: function(text, callback) {
Eif (!text) {
return;
}
var rows = text.split(/\n\n+/),
l;
var macLineEndings = false;
if (rows.length < 3) {
var macrows = text.split("\r\r");
if (macrows.length > rows.length) {
this.status = this.status + " Detected a MAC line ending.";
macLineEndings = true;
rows = macrows;
}
}
for (l in rows) {
if (macLineEndings) {
rows[l] = rows[l].replace(/ +/g, " ").split("\r");
} else {
rows[l] = rows[l].replace(/ +/g, " ").split("\n");
}
}
this.asCSV = rows;
this.extractedHeaderObjects = rows[0];
if (typeof callback === "function") {
callback();
}
}
},
/**
* This function accepts text using double (or triple etc) spaces to indicate
* separate datum. Each line in the block is treated as a column in
* the table.
*
* If you have your data in Microsoft word or OpenOffice or plain
* text, then this will be the easiest format for you to import your
* data in.
*
* @param text
*/
importRawText: {
value: function(text) {
if (this.ignoreLineBreaksInRawText) {
text.replace(/\n+/g, " ").replace(/\r+/g, " ");
}
this.datalist.add(new Datum({
fields: [{
id: "orthography",
value: text
}]
}));
this.debug("added a datum to the collection");
}
},
/**
* Reads the import's array of files using a supplied readOptions or using
* the readFileIntoRawText function which uses the browsers FileReader API.
* It can read only part of a file if start and stop are passed in the options.
*
* @param Object options Options can be specified to pass start and stop bytes
* for the files to be read.
*
* @return Promise Returns a promise which will have an array of results
* for each file which was requested to be read
*/
readFiles: {
value: function(options) {
var deferred = Q.defer(),
self = this,
promisses = [];
options = options || {};
this.progress = {
total: 0,
completed: 0
};
Q.nextTick(function() {
var fileDetails = [];
var files = self.files;
var filesToUpload = [];
self.progress.total = files.length;
for (var i = 0, file; file = files[i]; i++) {
var details = [escape(file.name), file.type || "n/a", "-", file.size, "bytes, last modified:", file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() : "n/a"].join(" ");
self.status = self.status + "; " + details;
fileDetails.push(JSON.parse(JSON.stringify(file)));
Iif (file.type && (file.type.indexOf("audio") > -1 || file.type.indexOf("video") > -1 || file.type.indexOf("image") > -1)) {
filesToUpload.push(file);
} else Eif (options.readOptions) {
promisses.push(options.readOptions.readFileFunction.apply(self, [{
file: file.name,
start: options.start,
stop: options.stop
}]));
} else {
promisses.push(self.readFileIntoRawText({
file: file,
start: options.start,
stop: options.stop
}));
}
}
Iif (filesToUpload.length > 0) {
promisses.push(self.uploadFiles(self.files));
}
self.fileDetails = fileDetails;
Q.allSettled(promisses).then(function(results) {
deferred.resolve(results.map(function(result) {
self.progress.completed += 1;
return result.value;
}));
}, function(results) {
self.error = "Error processing files";
deferred.reject(results);
}).fail(function(error) {
console.error(error.stack, self);
self.warn("There was an error when importing these options ", error, options);
deferred.reject(error);
});
});
return deferred.promise;
}
},
/**
* Reads a file using the FileReader API, can read only part of a file if start and stop are passed in the options.
* @param Object options Options can be specified to pass start and stop bytes for the file to be read.
* @return Promise Returns a promise which will have an array of results for each file which was requested to be read
*/
readFileIntoRawText: {
value: function(options) {
var deferred = Q.defer(),
self = this;
this.debug("readFileIntoRawText", options);
Q.nextTick(function() {
if (!options) {
options = {
error: "Options must be defined for readFileIntoRawText"
};
deferred.reject(options);
return;
}
Eif (!options.file) {
options.error = "Options: file must be defined for readFileIntoRawText";
deferred.reject(options);
return;
}
options.start = options.start ? parseInt(options.start, 10) : 0;
options.stop = options.stop ? parseInt(options.stop, 10) : options.file.size - 1;
var reader = new FileReader();
// If we use onloadend, we need to check the readyState.
reader.onloadend = function(evt) {
if (evt.target.readyState === FileReader.DONE) { // DONE === 2
options.rawText = evt.target.result;
self.rawText = self.rawText + options.rawText;
// self.showImportSecondStep = true;
deferred.resolve(options);
}
};
var blob = "";
if (options.file.slice) {
blob = options.file.slice(options.start, options.stop + 1);
} else if (options.file.mozSlice) {
blob = options.file.mozSlice(options.start, options.stop + 1);
} else if (options.file.webkitSlice) {
blob = options.file.webkitSlice(options.start, options.stop + 1);
}
// reader.readAsBinaryString(blob);
// reader.readAsText(blob, "UTF-8");
reader.readAsText(blob);
});
return deferred.promise;
}
},
/**
* This function attempts to guess the format of the file/textarea, and calls the appropriate import handler.
*/
guessFormatAndPreviewImport: {
value: function(fileIndex) {
Eif (!fileIndex) {
fileIndex = 0;
}
var importTypeConfidenceMeasures = {
handout: {
confidence: 0,
id: "handout",
importFunction: this.importTextIGT
},
csv: {
confidence: 0,
id: "csv",
importFunction: this.importCSV
},
tabbed: {
confidence: 0,
id: "tabbed",
importFunction: this.importTabbed
},
xml: {
confidence: 0,
id: "xml",
importFunction: this.importXML
},
toolbox: {
confidence: 0,
id: "toolbox",
importFunction: this.importToolbox
},
elanXML: {
confidence: 0,
id: "elanXML",
importFunction: this.importElanXML
},
praatTextgrid: {
confidence: 0,
id: "praatTextgrid",
importFunction: this.importTextGrid
},
latex: {
confidence: 0,
id: "latex",
importFunction: this.importLatex
}
};
//if the user is just typing, try raw text
if (this.files && this.files[fileIndex]) {
var fileExtension = this.files[fileIndex].name.split(".").pop().toLowerCase();
Eif (fileExtension === "csv") {
importTypeConfidenceMeasures.csv.confidence++;
} else if (fileExtension === "txt") {
//If there are more than 20 tabs in the file, try tabbed.
if (this.rawText.split("\t").length > 20) {
importTypeConfidenceMeasures.tabbed.confidence++;
} else {
importTypeConfidenceMeasures.handout.confidence++;
}
} else if (fileExtension === "eaf") {
importTypeConfidenceMeasures.elanXML.confidence++;
} else if (fileExtension === "xml") {
importTypeConfidenceMeasures.xml.confidence++;
} else if (fileExtension === "sf") {
importTypeConfidenceMeasures.toolbox.confidence++;
} else if (fileExtension === "tex") {
importTypeConfidenceMeasures.latex.confidence++;
} else if (fileExtension === "textgrid") {
importTypeConfidenceMeasures.praatTextgrid.confidence++;
} else if (fileExtension === "mov") {
importTypeConfidenceMeasures.praatTextgrid.confidence++;
} else if (fileExtension === "wav") {
importTypeConfidenceMeasures.praatTextgrid.confidence++;
} else if (fileExtension === "mp3") {
importTypeConfidenceMeasures.praatTextgrid.confidence++;
}
} else {
if (this.rawText && this.rawText.length) {
var textLength = this.rawText.length;
Iif (this.rawText.indexOf("\\gll") > -1 || this.rawText.indexOf("\\begin{") > -1 || this.rawText.indexOf("\\ex") > -1) {
importTypeConfidenceMeasures.latex.confidence = 100;
} else if (this.rawText.indexOf("mpi.nl/tools/elan/EAF") > -1) {
importTypeConfidenceMeasures.elanXML.confidence = 100;
} else if (this.rawText.indexOf("<?xml") > -1) {
importTypeConfidenceMeasures.xml.confidence = 100;
} else {
importTypeConfidenceMeasures.csv.confidence = this.rawText.split(",").length / textLength;
importTypeConfidenceMeasures.tabbed.confidence = this.rawText.split("\t").length / textLength;
importTypeConfidenceMeasures.handout.confidence = this.rawText.split(/\n\n+/).length / textLength;
importTypeConfidenceMeasures.toolbox.confidence = this.rawText.split(/\n\\/).length / textLength;
importTypeConfidenceMeasures.praatTextgrid.confidence = this.rawText.split("intervals").length / textLength;
}
}
}
this.importTypeConfidenceMeasures = importTypeConfidenceMeasures;
this.debug("importTypeConfidenceMeasures", importTypeConfidenceMeasures);
var mostLikelyImport;
for (var importType in importTypeConfidenceMeasures) {
Iif (!importTypeConfidenceMeasures.hasOwnProperty(importType)) {
continue;
}
if (!mostLikelyImport || mostLikelyImport.confidence < importTypeConfidenceMeasures[importType].confidence) {
mostLikelyImport = importTypeConfidenceMeasures[importType];
}
}
this.importTypeConfidenceMeasures.mostLikely = mostLikelyImport;
this.status = "";
return mostLikelyImport.importFunction.apply(this, [this.rawText, null]); //no callback
}
},
readBlob: {
value: function(file, callback, opt_startByte, opt_stopByte) {
this.warn("Read blob is deprecated", file, callback, opt_startByte, opt_stopByte);
}
}
});
exports.Import = Import;
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