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  • google app engine application

    - by megala
    Hi, I create one application in ecllipse.That application contains the coding to create table in google app engine datastore.(i.e)Google Big table.In that application a created two table .After that i deployed the application.My constraints is ,is it possible to create a new table after depolyment the project and is it possible to create new column in already exits table. Thanks in advance

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  • Django @ Google App Engine - Site Map Framework

    - by dkp
    Hi Folks, has anybody managed to get Djangos site map framework to run on Google App Engine? I receive the following exception: ImproperlyConfigured at /sitemap.xml You haven't set the DATABASE_ENGINE setting yet. Request Method: GET Request URL: http://127.0.0.1:8080/sitemap.xml Exception Type: ImproperlyConfigured Exception Value: You haven't set the DATABASE_ENGINE setting yet. Exception Location: D:\Program Files\Google\google_appengine\lib\django\django\db\backends\dummy\base.py in complain, line 13

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  • Google App Engine - The most awaited feature

    - by systempuntoout
    This list is taken from the official Google App Engine roadmap: SSL for third-party domains Background servers capable of running for longer than 30s Ability to reserve instances to reduce application loading overhead Ability to select different availability vs. latency options for Datastore Support for mapping operations across datasets Datastore dump and restore facility Raise request/response size limits for some APIs Improved monitoring and alerting of application serving Support for Browser Push (Comet) communication Built-in support for OAuth & OpenID What is your most awaited feature and why?

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  • What javascript templating engine do you recommend?

    - by flybywire
    Do you have experience with a Javascript templating engine, one that is stable, easy to use and has good performance? I need to do apply the same template many times for different data. I prefer to download the template itself once (and have it cached) rather than processing the template on the server. Also, this way the template itself would be a static resource more easily cached in the server side too.

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  • Upload files in Google App Engine

    - by Ngu Soon Hui
    I am planning to create a web app that allows users to downgrade their visual studio project files. However, It seems Google App Engine accepts files uploading and flat file storing on the Google Server through db.TextProperty and db.BlobProperty. I'll be glad anyone can provide code sample ( both the client and the server side) on how this can be done, thanks

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  • lightweight search engine for asp.net

    - by Michael
    I'm looking to develop a CMS project based on UMBRACO but I also need to index the documents created and to offer search functionality therefore I would like to know if you have any suggestion for a lightweight search engine available in .net technology. The main requirement is to be simple and efficient (nothing complex like solr or sphinx ).

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  • terminating index process for search engine

    - by Sadegh
    hi, i am working on a small search-engine app with asp.net 4.0. the indexing process can index each URL founded in each document and this recursively performed for each other. now how i can terminate this process when i want or when user clicked on stop browser button?

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  • Google app engine - mail recipients limit?

    - by Matej Puntar
    I know that each recipient counts toward the Recipients Emailed (billable) quota and I can't send to more than is my daily quota. But is there a limit how many recipients can a single email have? For example can a single email created and sent through App engine Mail api have 8000 recipients?

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  • Oracle BPM: Adding an attachment during the Human Task Initialization

    - by kyap
    Recently I had the requirement from a customer to instantiate a Human Task, which can accept a payload containing a binary attribute (base64) representing an actual document. According to the same requirement, this attribute should be shown as a hyperlink in the Worklist UI to the assignee(s), from which the assignees can download the document on the local machine for review. Multiple options have been leverage, but most required heavy customization.  In order to leverage as much as possible Oracle BPM out-of-the box functionalities, I decided to add this document as a readonly attachment. We can easily achieve this operation within Worklist Application, but it is a bit more challenging when we want to attach the document during the Human Task initialization.  After some investigations (on BPM 11g PS4FP and PS5), here's the way to go: 1. Create an asynchronous BPM process, and use this xsd to create 2 Business Objects FullPayload and PartialPayload : 2. Create 2 process variables 'vFullPayload' and 'vPartialPayload' using this Business Objects created above 3. Implement the Start Event with the initial Data Association, with an input argument using 'FullPayload' Business Object type 4. Drag in an User Task into the process. Implement the User Task as usual by using 'vPartialPayload' type as the input type and assign the task to your favorite tester (mine is jcooper) 5. Here's the main course - Start the Data Association and map the payload into 'execData' as follow: FROM TO  vFullPayload.attachment.mimetype  execData.attachment[1].mimeType  vFullPayload.attachment.filename  execData.attachment[1].name  bpmn:getDataObject('vFullPayload')/ns:attachment/ns:content  execData.attachment[1].content  'BPM'  execData.attachment[1].attachmentScope false()  execData.attachment[1].doesBelongToParent 'weblogic'  execData.attachment[1].updateBy  xp20:current-dateTime()  execData.attachment[1].updateDate (Note: Check the <Humantask>WorkflowTask.xsd file in your project xsd folder to discover the different options for attachmentScope & storageType) 6. Your process is completed. Just build a standard ADF UI and deploy the process/UI onto your BPM Server for the testing. Here's an example, with a base64 encoded pdf file: application-pdf.txt 7. Finally, go to the BPM Worklist application to check the result ! Please note that Oracle BPM, by default, limits the attachment document size to 2Mb. If you are planning to have bigger attachments in your process, it is recommended to store your documents in a Content Management server (such as Oracle UCM) and pass the reference instead. It is possible to configure Oracle BPM to store attachment directly into Oracle UCM too, and I believe we can use the storageType, ucmMetadataItem attributes for this purpose.... I will confirm once I have access onto an Oracle UCM for the testing :)

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  • Nested entities in Google App Engine. Do I do it right?

    - by Aleksandr Makov
    Trying to make most of the GAE Datastore entities concept, but some doubts drill my head. Say I have the model: class User(ndb.Model): email = ndb.StringProperty(indexed=True) password = ndb.StringProperty(indexed=False) first_name = ndb.StringProperty(indexed=False) last_name = ndb.StringProperty(indexed=False) created_at = ndb.DateTimeProperty(auto_now_add=True) @classmethod def key(cls, email): return ndb.Key(User, email) @classmethod def Add(cls, email, password, first_name, last_name): user = User(parent=cls.key(email), email=email, password=password, first_name=first_name, last_name=last_name) user.put() UserLogin.Record(email) class UserLogin(ndb.Model): time = ndb.DateTimeProperty(auto_now_add=True) @classmethod def Record(cls, user_email): login = UserLogin(parent=User.key(user_email)) login.put() And I need to keep track of times of successful login operations. Each time user logs in, an UserLogin.Record() method will be executed. Now the question — do I make it right? Thanks. EDIT 2 Ok, used the typed arguments, but then it raised this: Expected Key instance, got User(key=Key('User', 5418393301680128), created_at=datetime.datetime(2013, 6, 27, 10, 12, 25, 479928), email=u'[email protected]', first_name=u'First', last_name=u'Last', password=u'password'). It's clear to understand, but I don't get why the docs are misleading? They implicitly propose to use: # Set Employee as Address entity's parent directly... address = Address(parent=employee) But Model expects key. And what's worse the parent=user.key() swears that key() isn't callable. And I found out the user.key works. EDIT 1 After reading the example form the docs and trying to replicate it — I got type error: TypeError('Model constructor takes no positional arguments.'). This is the exacto code used: user = User('[email protected]', 'password', 'First', 'Last') user.put() stamp = UserLogin(parent=user) stamp.put() I understand that Model was given the wrong argument, BUT why it's in the docs?

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  • Restrictive routing best practices for Google App Engine with python?

    - by Aleksandr Makov
    Say I have a simple structure: app = webapp2.WSGIApplication([ (r'/', 'pages.login'), (r'/profile', 'pages.profile'), (r'/dashboard', 'pages.dash'), ], debug=True) Basically all pages require authentication except for the login. If visitor tries to reach a restrictive page and he isn't authorized (or lacks privileges) then he gets redirected to the login view. The question is about the routing design. Should I check the auth and ACL privs in each of the modules (pages.profile and pages.dash from example above), or just pass all requests through the single routing mechanism: app = webapp2.WSGIApplication([ (r'/', 'pages.login'), (r'/.+', 'router') ], debug=True) I'm still quite new to the GAE, but my app requires authentication as well as ACL. I'm aware that there's login directive on the server config level, but I don't know how it works and how I can tight it with my ACL logic and what's worse I cannot estimate time needed to get it running. Besides, it looks only to provide only 2 user groups: admin and user. In any case, that's the configuration I use: handlers: - url: /favicon.ico static_files: static/favicon.ico upload: static/favicon.ico - url: /static/* static_dir: static - url: .* script: main.app secure: always Or I miss something here and ACL can be set in the config file? Thanks.

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  • What technologies and tools would I need to create an advanced 3D game on Unreal Engine 3?

    - by BleakCabalist
    This is a purely hypothetical question. Let's say I already have the UE3 license and would like to create an advanced single-player FPS. What other tools/technologies would I need? For example for audio, animations, modeling and so on. I mean all of them. I've been looking for some time now and can't find any source, which would say what's needed from beggining to the end of game development cycle.

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  • Google App Engine: How to be notified when APIs change or become available?

    - by herpylderp
    I am thinking about writing a GAE app but am a little hesitant because the EULA gives Google full rights to change their APIs anytime they want, for any reason. Obviously, they'd be out of business quick if they just 'upped and refactored their entire APIs, so I have to imagine they have some kind of notification system, perhaps even an RSS feed, etc. to notify developers well in advance of looming changes, or new features coming out in future releases. However, for the life of me I can't seem to find any trace of the existence of such a notification system. Perhaps the Google forums is the only place to get such updates? I guess I'm asking any battle-worn GAE veterans for re-assurance that there are reliable ways of getting notifications about policy or API changes from Google such that I could react and make the necessary app changes without production breaking or impacting any clients. Thanks in advance!

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  • Google App Engine - Secure Cookies

    - by tponthieux
    I'd been searching for a way to do cookie based authentication/sessions in Google App Engine because I don't like the idea of memcache based sessions, and I also don't like the idea of forcing users to create google accounts just to use a website. I stumbled across someone's posting that mentioned some signed cookie functions from the Tornado framework and it looks like what I need. What I have in mind is storing a user's id in a tamper proof cookie, and maybe using a decorator for the request handlers to test the authentication status of the user, and as a side benefit the user id will be available to the request handler for datastore work and such. The concept would be similar to forms authentication in ASP.NET. This code comes from the web.py module of the Tornado framework. According to the docstrings, it "Signs and timestamps a cookie so it cannot be forged" and "Returns the given signed cookie if it validates, or None." I've tried to use it in an App Engine Project, but I don't understand the nuances of trying to get these methods to work in the context of the request handler. Can someone show me the right way to do this without losing the functionality that the FriendFeed developers put into it? The set_secure_cookie, and get_secure_cookie portions are the most important, but it would be nice to be able to use the other methods as well. #!/usr/bin/env python import Cookie import base64 import time import hashlib import hmac import datetime import re import calendar import email.utils import logging def _utf8(s): if isinstance(s, unicode): return s.encode("utf-8") assert isinstance(s, str) return s def _unicode(s): if isinstance(s, str): try: return s.decode("utf-8") except UnicodeDecodeError: raise HTTPError(400, "Non-utf8 argument") assert isinstance(s, unicode) return s def _time_independent_equals(a, b): if len(a) != len(b): return False result = 0 for x, y in zip(a, b): result |= ord(x) ^ ord(y) return result == 0 def cookies(self): """A dictionary of Cookie.Morsel objects.""" if not hasattr(self,"_cookies"): self._cookies = Cookie.BaseCookie() if "Cookie" in self.request.headers: try: self._cookies.load(self.request.headers["Cookie"]) except: self.clear_all_cookies() return self._cookies def _cookie_signature(self,*parts): self.require_setting("cookie_secret","secure cookies") hash = hmac.new(self.application.settings["cookie_secret"], digestmod=hashlib.sha1) for part in parts:hash.update(part) return hash.hexdigest() def get_cookie(self,name,default=None): """Gets the value of the cookie with the given name,else default.""" if name in self.cookies: return self.cookies[name].value return default def set_cookie(self,name,value,domain=None,expires=None,path="/", expires_days=None): """Sets the given cookie name/value with the given options.""" name = _utf8(name) value = _utf8(value) if re.search(r"[\x00-\x20]",name + value): # Don't let us accidentally inject bad stuff raise ValueError("Invalid cookie %r:%r" % (name,value)) if not hasattr(self,"_new_cookies"): self._new_cookies = [] new_cookie = Cookie.BaseCookie() self._new_cookies.append(new_cookie) new_cookie[name] = value if domain: new_cookie[name]["domain"] = domain if expires_days is not None and not expires: expires = datetime.datetime.utcnow() + datetime.timedelta( days=expires_days) if expires: timestamp = calendar.timegm(expires.utctimetuple()) new_cookie[name]["expires"] = email.utils.formatdate( timestamp,localtime=False,usegmt=True) if path: new_cookie[name]["path"] = path def clear_cookie(self,name,path="/",domain=None): """Deletes the cookie with the given name.""" expires = datetime.datetime.utcnow() - datetime.timedelta(days=365) self.set_cookie(name,value="",path=path,expires=expires, domain=domain) def clear_all_cookies(self): """Deletes all the cookies the user sent with this request.""" for name in self.cookies.iterkeys(): self.clear_cookie(name) def set_secure_cookie(self,name,value,expires_days=30,**kwargs): """Signs and timestamps a cookie so it cannot be forged""" timestamp = str(int(time.time())) value = base64.b64encode(value) signature = self._cookie_signature(name,value,timestamp) value = "|".join([value,timestamp,signature]) self.set_cookie(name,value,expires_days=expires_days,**kwargs) def get_secure_cookie(self,name,include_name=True,value=None): """Returns the given signed cookie if it validates,or None""" if value is None:value = self.get_cookie(name) if not value:return None parts = value.split("|") if len(parts) != 3:return None if include_name: signature = self._cookie_signature(name,parts[0],parts[1]) else: signature = self._cookie_signature(parts[0],parts[1]) if not _time_independent_equals(parts[2],signature): logging.warning("Invalid cookie signature %r",value) return None timestamp = int(parts[1]) if timestamp < time.time() - 31 * 86400: logging.warning("Expired cookie %r",value) return None try: return base64.b64decode(parts[0]) except: return None uid=1234|1234567890|d32b9e9c67274fa062e2599fd659cc14 Parts: 1. uid is the name of the key 2. 1234 is your value in clear 3. 1234567890 is the timestamp 4. d32b9e9c67274fa062e2599fd659cc14 is the signature made from the value and the timestamp

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  • Search engine solution for Django that actually works?

    - by prometheus
    The story so far: Decided to go with Xapian as search backend because it has all search-engine features I was looking for, knows about Unicode, stemming, has few dependencies and requires no bloated app-server installation on top of it. Tried Django and Haystack (plus xapian-haystack, the backend glue code to tie Haystack to Xapian) because it was advertised on quite some blogs as "working". Did not work. Neither django-haystack nor the xapian-haystack project provide a version combination that actually works together. MASTER from both projects yields an error from Xapian, so it's not stable at all. Haystack 1.0.1 and xapian-haystack 1.0.x/1.1.0 are not API-compatible. Plus, in a minimally working installation of Haystack 1.0.1 and xapian-haystack MASTER, any complex query yields zero results due to errors in either django-haystack or xapian-haystack (I double-verified this), maybe because the unit-tests actually test very simple cases, and no edge-cases at all. Tried Djapian. The source-code is riddled with spelling errors (mind you, in variable names, not comments), documentation is also riddled with ambiguities and outdated information that will never lead to a working installation. Not surprisingly, users rarely ask for features but how to get it working in the first place. Next on the plate: exploring Solr (installing a Java environment plus Tomcat gives me headaches, the machine is RAM- and CPU-constrained), or Lucene (slightly less headaches, but still). Before I proceed spending more time with a solution that might or might not work as advertised, I'd like to know: Did anyone ever get an actual, real-world search solution working in Django? I'm serious. I find it really frustrating reading about "large problems mostly solved", and then realizing that you will never get a working installation from the source-code because, actually, all bloggers dealing with those "mostly solved problems" never went past basic installation and copy-pasting the official tutorials. So here are the requirements: must be able to search for 10-100 terms in one query must handle + (term must be present) and - (term must not be present), AND/OR must handle arbitrary grouping (i.e. parentheses around AND/OR) must allow for Django-ORM filtering before or after fulltext-search (i.e. pre-/post-processing of results with the full set of filters that Django knows about) alternatively, there must be a facility to bulk-fetch the result set and transform it into a QuerySet should be light on the machine, so preferably no humongous JVM and Java-based app-server installation Is there anything out there that does this? I'm not interested in anecdotal evidence, or references to some blog posts that claim it should be working. I'd like to hear from someone who actually has a fully-functional setup working in the real world, under real conditions, with real queries. EDIT: Let me repeat again that I'm not so much interested in anecdotal evidence that someone, somewhere has a somewhat running installation working with unspecified properties. I already went there, I read all the blog posts, mailing lists, I contacted the authors, but when it came to actual implementation of real-world scenarios, nothing ever worked as advertised. Also, and a user below brought that point up as well, considering the TCO of any project, I'm definitely not interested in hearing that someone, somewhere was able to pull it off once a vendor parachuted in an unknown number of specialists to monkey-patch the whole installation with specific domain-knowledge that's documented nowhere. So, please, if you claim you have a working installation that actually satisfies minimum requirements for a full-fledged search (see requirements above), please provide the following so that we can all benefit from a search solution for Django that actually solves the problem: exact Linux distribution, release version, exact release version of Haystack (or equivalent) and release version of search backend, exact release version of the search engine publicly (!) available documentation how to set up all components exactly in the way that your installation was set up such that the minimal requirements above are met. Thank you.

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  • Search engine solution for Django that actually works?

    - by prometheus
    The story so far: Decided to go with Xapian as search backend because it has all search-engine features I was looking for, knows about Unicode, stemming, has few dependencies and requires no bloated app-server installation on top of it. Tried Django and Haystack (plus xapian-haystack, the backend glue code to tie Haystack to Xapian) because it was advertised on quite some blogs as "working". Did not work. Neither django-haystack nor the xapian-haystack project provide a version combination that actually works together. MASTER from both projects yields an error from Xapian, so it's not stable at all. Haystack 1.0.1 and xapian-haystack 1.0.x/1.1.0 are not API-compatible. Plus, in a minimally working installation of Haystack 1.0.1 and xapian-haystack MASTER, any complex query yields zero results due to errors in either django-haystack or xapian-haystack (I double-verified this), maybe because the unit-tests actually test very simple cases, and no edge-cases at all. Tried Djapian. The source-code is riddled with spelling errors (mind you, in variable names, not comments), documentation is also riddled with ambiguities and outdated information that will never lead to a working installation. Not surprisingly, users rarely ask for features but how to get it working in the first place. Next on the plate: exploring Solr (installing a Java environment plus Tomcat gives me headaches, the machine is RAM- and CPU-constrained), or Lucene (slightly less headaches, but still). Before I proceed spending more time with a solution that might or might not work as advertised, I'd like to know: Did anyone ever get an actual, real-world search solution working in Django? I'm serious. I find it really frustrating reading about "large problems mostly solved", and then realizing that you will never get a working installation from the source-code because, actually, all bloggers dealing with those "mostly solved problems" never went past basic installation and copy-pasting the official tutorials. So here are the requirements: must be able to search for 10-100 terms in one query must handle + (term must be present) and - (term must not be present), AND/OR must handle arbitrary grouping (i.e. parentheses around AND/OR) must allow for Django-ORM filtering before or after fulltext-search (i.e. pre-/post-processing of results with the full set of filters that Django knows about) alternatively, there must be a facility to bulk-fetch the result set and transform it into a QuerySet should be light on the machine, so preferably no humongous JVM and Java-based app-server installation Is there anything out there that does this? I'm not interested in anecdotal evidence, or references to some blog posts that claim it should be working. I'd like to hear from someone who actually has a fully-functional setup working in the real world, under real conditions, with real queries. EDIT: Let me repeat again that I'm not so much interested in anecdotal evidence that someone, somewhere has a somewhat running installation working with unspecified properties. I already went there, I read all the blog posts, mailing lists, I contacted the authors, but when it came to actual implementation of real-world scenarios, nothing ever worked as advertised. Also, and a user below brought that point up as well, considering the TCO of any project, I'm definitely not interested in hearing that someone, somewhere was able to pull it off once a vendor parachuted in an unknown number of specialists to monkey-patch the whole installation with specific domain-knowledge that's documented nowhere. So, please, if you claim you have a working installation that actually satisfies minimum requirements for a full-fledged search (see requirements above), please provide the following so that we can all benefit from a search solution for Django that actually solves the problem: exact Linux distribution, release version, exact release version of Haystack (or equivalent) and release version of search backend, exact release version of the search engine publicly (!) available documentation how to set up all components exactly in the way that your installation was set up such that the minimal requirements above are met. Thank you.

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