ascribe/onion
1
0
Fork 0
mirror of https://github.com/ascribe/onion.git synced 2024-11-15 01:25:17 +01:00
Code Issues Releases Wiki Activity

converte computeHashOfFile to a promise based solution

Browse Source
This commit is contained in:
Tim Daubenschütz 2015-07-23 15:38:52 +02:00
parent 71fcdff874
commit 33a179cfe2
3 changed files with 43 additions and 37 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
.eslintrc
View File

@ -34,7 +34,8 @@
"globals": {
"Intercom": true,
"fetch": true,
"require": true
"require": true,
"File": true
},
"plugins": [
"react"

3
js/components/ascribe_detail/further_details.js
View File

@ -171,7 +171,8 @@ let FileUploader = React.createClass({
}
}}
areAssetsDownloadable={true}
areAssetsEditable={this.props.editable}/>
areAssetsEditable={this.props.editable}/
localHashing={true}>
</Property>
<hr />
</Form>

74
js/utils/file_utils.js
View File

@ -8,7 +8,7 @@ import SparkMD5 from 'spark-md5';
* @param {string} text regular javascript string
* @return {string} regular javascript string
*/
export function makeTextFile(text) {
function makeTextFile(text) {
let data = new Blob([text], {type: 'text/plain'});
return window.URL.createObjectURL(data);
}
@ -20,42 +20,46 @@ export function makeTextFile(text) {
* @return {string} regular javascript string
*/
export function computeHashOfFile(file) {
let blobSlice = File.prototype.slice || File.prototype.mozSlice || File.prototype.webkitSlice,
chunkSize = 2097152, // Read in chunks of 2MB
chunks = Math.ceil(file.size / chunkSize),
currentChunk = 0,
spark = new SparkMD5.ArrayBuffer(),
fileReader = new FileReader();
return new Promise((resolve, reject) => {
let blobSlice = File.prototype.slice || File.prototype.mozSlice || File.prototype.webkitSlice;
let chunkSize = 2097152; // Read in chunks of 2MB
let chunks = Math.ceil(file.size / chunkSize);
let currentChunk = 0;
let spark = new SparkMD5.ArrayBuffer();
let fileReader = new FileReader();
let startTime = new Date();
fileReader.onload = function (e) {
//console.log('read chunk nr', currentChunk + 1, 'of', chunks);
spark.append(e.target.result); // Append array buffer
currentChunk++;
let startTime = new Date();
fileReader.onload = function(e) {
//console.log('read chunk nr', currentChunk + 1, 'of', chunks);
spark.append(e.target.result); // Append array buffer
currentChunk++;
if (currentChunk < chunks) {
loadNext();
} else {
let fileHash = spark.end();
console.info('computed hash %s (took %d s)',
fileHash,
Math.round(((new Date() - startTime) / 1000) % 60)); // Compute hash
let hashFile = this.makeTextFile(fileHash);
console.info('hash: ', hashFile);
return hashFile;
if (currentChunk < chunks) {
loadNext();
} else {
let fileHash = spark.end();
console.info('computed hash %s (took %d s)',
fileHash,
Math.round(((new Date() - startTime) / 1000) % 60)); // Compute hash
let hashFile = makeTextFile(fileHash);
console.info('hash: ', hashFile);
resolve(hashFile);
}
}.bind(this);
fileReader.onerror = function () {
reject(new Error('We weren\' able to hash your file locally. Try to upload it manually or consider contact us.'));
};
function loadNext() {
var start = currentChunk * chunkSize,
end = ((start + chunkSize) >= file.size) ? file.size : start + chunkSize;
fileReader.readAsArrayBuffer(blobSlice.call(file, start, end));
}
}.bind(this);
fileReader.onerror = function () {
console.warn('oops, something went wrong.');
};
function loadNext() {
var start = currentChunk * chunkSize,
end = ((start + chunkSize) >= file.size) ? file.size : start + chunkSize;
fileReader.readAsArrayBuffer(blobSlice.call(file, start, end));
}
loadNext();
loadNext();
});
}