Search Results

Search found 31319 results on 1253 pages for 'source engine'.

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

Page 244/1253 | < Previous Page | 240 241 242 243 244 245 246 247 248 249 250 251  | Next Page >

  • Does Google appengine cache external requests?

    - by Andy Hume
    I have a very simple application running on appengine that requests a web page every five minutes and parses for a specific piece of data. Everything works fine except that the response I get back from the external request (using urllib2) doesn't reflect the latest changes to the page. Sometimes it takes a few minutes to get the latest, sometimes over an hour. Is there a transparent layer of caching that appengine puts in place? Or is there something else I am missing here? I've looked at the caching headers of the requested page and there is no Expires or LastModified's sent. Update: Sometimes, it will get the new version of the page for a number of requests and then randomly later get an old out of date version.

    Read the article

  • How to use ';' in urls, using Google Appengine

    - by tonfa
    Using the local dev server, I can use ';' in urls, but as soon as I try the live version hosted by Google, it looks like the ';' and everything afterward is stripped (at least according to request.path_qs). (I would prefer not to encode them if possible, it's much less user friendly if the url cannot be constructed by copy-pasting, especially since other characters works fine, e.g. ':').

    Read the article

  • gaema twitter handle error..

    - by zjm1126
    i use gaema for twitter user loggin http://code.google.com/p/gaema/ and my code is : class TwitterAuth(WebappAuth, auth.TwitterMixin): pass class TwitterHandler(BaseHandler): def get(self): twitter_auth = TwitterAuth(self) try: if self.request.GET.get("oauth_token", None): twitter_auth.get_authenticated_user(self._on_auth) self.response.out.write('sss') return twitter_auth.authorize_redirect() except RequestRedirect, e: return self.redirect(e.url, permanent=True) self.render_template('index.html', user=None) def _on_auth(self, user): """This function is called immediatelly after an authentication attempt. Use it to save the login information in a session or secure cookie. :param user: A dictionary with user data if the authentication was successful, or ``None`` if the authentication failed. """ if user: # Authentication was successful. Create a session or secure cookie # to keep the user logged in. #self.response.out.write('logged in as '+user['first_name']+' '+user['last_name']) self.response.out.write(user) return else: # Login failed. Show an error message or do nothing. pass # After cookie is persisted, redirect user to the original URL, using # the home page as fallback. self.redirect(self.request.GET.get('redirect', '/')) and the error is : Traceback (most recent call last): File "D:\Program Files\Google\google_appengine\google\appengine\ext\webapp\__init__.py", line 511, in __call__ handler.get(*groups) File "D:\zjm_code\gaema\demos\webapp\main.py", line 76, in get twitter_auth.authorize_redirect() File "D:\zjm_code\gaema\demos\webapp\gaema\auth.py", line 209, in authorize_redirect http.fetch(self._oauth_request_token_url(), self.async_callback( File "D:\zjm_code\gaema\demos\webapp\gaema\auth.py", line 239, in _oauth_request_token_url consumer_token = self._oauth_consumer_token() File "D:\zjm_code\gaema\demos\webapp\gaema\auth.py", line 441, in _oauth_consumer_token self.require_setting("twitter_consumer_key", "Twitter OAuth") TypeError: require_setting() takes at most 2 arguments (3 given) thanks

    Read the article

  • Template approach for a PHP application

    - by Industrial
    Hi everyone, We're in the middle of making a new e-commerce related PHP application and we have come to the point where we have started to think about how we should solve templating for our customers needs. What we would like to do is offer our customers the possibility of uploading/modifying templates to suit their company:s profile. The initial thought is that we shall not reinvent the wheel, so instead letting our customers upload their templates with FTP, so there will be basic HTML skills required. For those customers that want to modify/customize template and doesnt have the knowledge, we offer that service as well. I know that there's a number of issues to solve before this could be considered safe, like preventing XSS and writing scripts that check through each uploaded file for potential security threats and so on. Of course, there are some part that probably will be to complex for the customer to modify by themselves, so maybe this approach won't apply to all<< template files in the frontend application. But besides that, what would be a good way to handle this?

    Read the article

  • Images from remote source - is it possible or is really a bad practice?

    - by user1620696
    I'm building a management system for websites and I had an idea related to image galleries that I'm not sure it's a good approach. Since images might need good deals of space depending on how much images a user uploads an so on, I thought on using cloud services like dropbox, mega and google drive to store images and load then when needed. The obvious problem is that for me this seems a useless solution because it would be slow to download the images from the remote source, making the user experience not so good. Is there any way to save images of a image gallery on remote source without getting the user experience bad because of speed? Or this is really not a good practice?

    Read the article

  • Objectify - Retrieve subclass instances with superclass query

    - by Deviling Master
    for a project i'm making, i'm using Objectify and Google AppEngine I'm quoting and old message from Google Groups, but the problem i have is the same: Here's the problem I'm trying to solve: I'd like to persist instances of several subclasses of one superclass to the datastore, and then retrieve them by querying for that superclass. (For example, a query for Game would return instances of Chess and Backgammon). Is there any way to accomplish this using Objectify? Because the thing i want is the same, but the topic does not provides yet an answer (it's 3 years old), I moved here with the same question. From 2010 to now, this question has been solved? Thanks Bye

    Read the article

  • UnicodeDecodeError from a GET-parameter in webapp2

    - by Aneon
    I'm getting a UnicodeDecodeError when recieving a GET-parameter from webapp2 that contains unicode characters, and then using it to do a NDB query. I get the same error message when manually running a unicode() on the parameter in the handler, so there either seems to be a problem in webapp2's URL routing or I've missed something. Preferably, all GET-parameters should be converted to unicode before getting passed into the handler so I don't need to do manual conversions in all of my handlers. I actually think it's worked before in an earlier version. The full error message read: UnicodeDecodeError: 'ascii' codec can't decode byte 0xc3 in position 1: ordinal not in range(128) The GET-parameter contains the following string: göteborg. It looks fine when I raise an Exception on it, but gives me an error when I (or NDB) use unicode() on it. EDIT: In NDB, it fails on the following code: File "C:\Program Files (x86)\Google\google_appengine\google\appengine\api\datastore_types.py", line 1562, in PackString pbvalue.set_stringvalue(unicode(value).encode('utf-8')) Thanks.

    Read the article

  • Image Gurus: Optimize my Python PNG transparency function

    - by ozone
    I need to replace all the white(ish) pixels in a PNG image with alpha transparency. I'm using Python in AppEngine and so do not have access to libraries like PIL, imagemagick etc. AppEngine does have an image library, but is pitched mainly at image resizing. I found the excellent little pyPNG module and managed to knock up a little function that does what I need: make_transparent.py pseudo-code for the main loop would be something like: for each pixel: if pixel looks "quite white": set pixel values to transparent otherwise: keep existing pixel values and (assuming 8bit values) "quite white" would be: where each r,g,b value is greater than "240" AND each r,g,b value is within "20" of each other This is the first time I've worked with raw pixel data in this way, and although works, it also performs extremely poorly. It seems like there must be a more efficient way of processing the data without iterating over each pixel in this manner? (Matrices?) I was hoping someone with more experience in dealing with these things might be able to point out some of my more obvious mistakes/improvements in my algorithm. Thanks!

    Read the article

  • cant print the data of the uploaded blob

    - by Bunny Rabbit
    int start=0,flag=1; long size=blobInfo.getSize(),fetched=0,fetch; byte temp[] = null; while(fetched<size){ if(size-fetched>MAX_BLOB_FETCH_SIZE) fetch=MAX_BLOB_FETCH_SIZE; else fetch=size-fetched; temp=blobstoreService.fetchData(blobKey,fetched,fetch ); fetched+=fetch; out.println(temp); } i tried to print the data of the uploaded text file using the above code but it doesn't seem to be working .

    Read the article

  • Coverity publie Coverity Security Library, une bibliothèque open-source pour identifier les défauts de sécurité dans les applis Web Java

    Coverity publie Coverity Security Library Une bibliothèque open source pour identifier les défauts de sécurité les plus courants dans les applis Web Java Coverity, un des leaders du marché du test de développement, vient d'annoncer la création de la Coverity Security Library, un projet open source (disponible via GitHub et Maven) pour aider les développeurs à réparer les attaques de type cross-site scripting (XSS) dans les applications Web Java. Ce projet a été initié par le Security Research Laboratory de Coverity. Il s'agit d'une bibliothèque de fonctions de contournement et de codage gratuite. « Les développeurs peuvent ainsi réparer rapidement les problèmes les plus courants, qui p...

    Read the article

  • Google offre une partie des outils d'Instantiations à la communauté open-source, ils deviennent des projets Eclipse

    Google offre une partie des outils d'Instantiations à la communauté open source WindowBuilder Pro et CodePro Profiler deviennent des projets Eclipse Il y a de cela quelques mois, la société Instantiations, éditrice entre autres du logiciel GWT designer était acquise par Google. Parmi l'offre commerciale d'Instantiations se trouvaient les logiciels commerciaux WindowBuilder Pro et CodePro Profiler basés sur la plateforme Eclipse. Google annonce à présent que ces outils seront officiellement cédés à la communauté open source et deviendront ainsi des projets Eclipse durant le premier semestre 2011, un cadeau d'une valeur de 5 millions de dollars selon Google. Il est aussi fai...

    Read the article

  • Many users, many cpus, no delays. Good for cloud?

    - by Eric
    I wish to set up a CPU-intensive time-important query service for users on the internet. A usage scenario is described below. Is cloud computing the right way to go for such an implementation? If so, what cloud vendor(s) cater to this type of application? I ask specifically, in terms of: 1) pricing 2) latency resulting from: - slow CPUs, instance creations, JIT compiles, etc.. - internal management and communication of processes inside the cloud (e.g. a queuing process and a calculation process) - communication between cloud and end user 3) ease of deployment A usage scenario I am expecting is: - A typical user sends a query (XML of size around 1K) once every 30 seconds on average. - Each query requires a numerical computation of average time 0.2 sec and max time 1 sec on a 1 GHz Pentium. The computation requires no data other than the query itself and is performed by the same piece of code each time. - The delay a user experiences between sending a query and receiving a response should be on average no more than 2 seconds and in general no more than 5 seconds. - A background save to a DB of the response should occur (not time critical) - There can be up to 30000 simultaneous users - i.e., on average 1000 queries a second, each requiring an average 0.2 sec calculation, so that would necessitate around 200 CPUs. Currently I'm look at GAE Java (for quicker deployment and less IT hassle) and EC2 (Speed and price optimization) as options. Where can I learn more about the right way to set ups such a system? past threads, different blogs, books, etc.. BTW, if my terminology is wrong or confusing, please let me know. I'd greatly appreciate any help.

    Read the article

  • How use AppEngine's Datastore Admin: Copy to Another App Feature

    - by Nick Siderakis
    I recently enabled AppEngine's Datastore Admin. I do not understand the instructions on how to copy my data to another app. Note: The target application must enable remote_api and must include this application’s ID in its HTTP_X_APPENGINE_INBOUND_APPID list. WARNING This application’s data is writable. We can only guarantee a consistent copy when the data being copied is read-only. Note: Blobs (binary data) will not be copied. To enable the remote_api I included the following in the app.yaml: builtins: - remote_api: on I have no idea what HTTP_X_APPENGINE_INBOUND_APPID is, and a Google search yields no results....any ideas?

    Read the article

  • AppEngine GeoPt Data Upload

    - by Eric Landry
    I'm writing a GAE app in Java and only using Python for the data upload. I'm trying to import a CSV file that looks like this: POSTAL_CODE_ID,PostalCode,City,Province,ProvinceCode,CityType,Latitude,Longitude 1,A0E2Z0,Monkstown,Newfoundland,NL,D,47.150300000000001,-55.299500000000002 I was able to import this file in my datastore if I import Latitude and Longitude as floats, but I'm having trouble figuring out how to import lat and lng as a GeoPt. Here is my loader.py file: import datetime from google.appengine.ext import db from google.appengine.tools import bulkloader class PostalCode(db.Model): id = db.IntegerProperty() postal_code = db.PostalAddressProperty() city = db.StringProperty() province = db.StringProperty() province_code = db.StringProperty() city_type = db.StringProperty() lat = db.FloatProperty() lng = db.FloatProperty() class PostalCodeLoader(bulkloader.Loader): def __init__(self): bulkloader.Loader.__init__(self, 'PostalCode', [('id', int), ('postal_code', str), ('city', str), ('province', str), ('province_code', str), ('city_type', str), ('lat', float), ('lng', float) ]) loaders = [PostalCodeLoader] I think that the two db.FloatProperty() lines should be replaced with a db.GeoPtProperty(), but that's where my trail ends. I'm very new to Python so any help would be greatly appreciated.

    Read the article

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

< Previous Page | 240 241 242 243 244 245 246 247 248 249 250 251  | Next Page >