local storage - breezejs importEntities fail "this key is already attached" -


i have spa (hot towel template) , use window.localstore keep data in browser. used export/import breeze 1.3.3 , worked while cleared browser history in first time of test, later didn't clear browser history , worked fine again export/import entities window.localstore. later after of many tests browser show next error:

script5022: key attached: project:#solution.project--1

the error appeared when had close browser , didn't clear browser history first time of test.

when load spa, first load data of window.localstore , use importentities function of breeze.

the spa loaded manager.getchanges().length result 0 (0) , correct, later call next function setlocalstoragetomanager load pending changes in actual manager.

function setlocalstoragetomanager(manager) { var name = 'pendingchangesonlocalstorage'; if (window.localstorage.length > 0) {     var importdata = window.localstorage.getitem(name);     if (importdata) {         return manager.importentities(importdata,             { mergestrategy: breeze.mergestrategy.preservechanges });      } else {         return manager;     }  } else {     return manager; } }

the error appeared here:

manager.importentities(importdata,{ mergestrategy: breeze.mergestrategy.preservechanges });

for example in test window.localstore return 2 entities id:-1 , id:-2, in breeze.debug.js in next function read first entity id:-1, later read second entity id:-1 again , error this key attached:

proto.attachentity = function (entity, entitystate) {     // entity should have aspect.     var ix;     var aspect = entity.entityaspect;     var keyingroup = aspect.getkey()._keyingroup;     ix = this._indexmap[keyingroup];     if (ix >= 0) {         if (this._entities[ix] === entity) { //-->error here             return entity;         }         throw new error("this key attached: " + aspect.getkey());     }      if (this._emptyindexes.length === 0) {         ix = this._entities.push(entity) - 1;     } else {         ix = this._emptyindexes.pop();         this._entities[ix] = entity;     }     this._indexmap[keyingroup] = ix;     aspect.entitystate = entitystate;     aspect.entitygroup = this;     aspect.entitymanager = this.entitymanager;     return entity; };

the error appeared in third test (export data localstorage , import data) without delete browser history, tested in ie10, google chrome version 27.0.1453.93 m , firefox 21.0.

please appreciated


Comments

Post a Comment

Popular posts from this blog

python - How to create a legend for 3D bar in matplotlib? -

Image
given ax = plt.subplot() : ax.bar()[0] can passed plt.legend() . however, ax.bar3d() returns none . how create legend displayed bars? update: passing legend="stuff" ax.bar3d() , calling ax.legend() raises /usr/lib/python2.6/site-packages/matplotlib/axes.py:4368: userwarning: no labeled objects found. use label='...' kwarg on individual plots. warnings.warn("no labeled objects found. " you need use proxy artist legends not supported. this code: from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot plt import numpy np fig = plt.figure() ax = fig.add_subplot(111, projection='3d') x, y = np.random.rand(2, 100) * 4 hist, xedges, yedges = np.histogram2d(x, y, bins=4) elements = (len(xedges) - 1) * (len(yedges) - 1) xpos, ypos = np.meshgrid(xedges[:-1]+0.25, yedges[:-1]+0.25) xpos = xpos.flatten() ypos = ypos.flatten() zpos = np.zeros(elements) dx = 0.5 * np.ones_like(zpos) dy = dx.copy() dz = hist.flatten() ax...
Read more

java - Multi-Label Document Classification -

i have database in store data based upon following 3 fields: id, text, {labels}. note each text has been assigned more 1 label \ tag \ class. want build model (weka \ rapidminer \ mahout) able recommend \ classify bunch of labels \ tags \ classes given text. i have heard svm , naive bayes classifier, not sure whether support multi-label classification or not. guides me right direction more welcome! the basic multilabel classification method one-vs.-the-rest (ovr), called binary relevance (br). basic idea take off-the-shelf binary classifier, such naive bayes or svm, create k instances of solve k independent classification problems. in python-like pseudocode: for each class k: learner = svm(settings) # example labels = [class_of(x) == k x in samples] learner.learn(samples, labels) then @ prediction time, run each of binary classifiers on sample , collect labels predict positive. (both training , prediction can done in parallel, since problems assumed ...
Read more

php - Dynamic url re-writing using htaccess -

how can rewrite http://mydomain.com/test/master.php?catid=2&subcatid=8 http://mydomain.com/test/master.php/catname/subcat using .htaccess file. once rewritten, how can access these parameters in master.php? note: untested, let me know if doesn't work. rewriterule ^master.php/([a-za-z0-9_-]+)/([a-za-z0-9_-]+)$ /master.php?catid$1&subcatid=$2 [l]
Read more