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  • Loading datasets from datastore and merge into single dictionary. Resource problem.

    - by fredrik
    Hi, I have a productdatabase that contains products, parts and labels for each part based on langcodes. The problem I'm having and haven't got around is a huge amount of resource used to get the different datasets and merging them into a dict to suit my needs. The products in the database are based on a number of parts that is of a certain type (ie. color, size). And each part has a label for each language. I created 4 different models for this. Products, ProductParts, ProductPartTypes and ProductPartLabels. I've narrowed it down to about 10 lines of code that seams to generate the problem. As of currently I have 3 Products, 3 Types, 3 parts for each type, and 2 languages. And the request takes a wooping 5500ms to generate. for product in productData: productDict = {} typeDict = {} productDict['productName'] = product.name cache_key = 'productparts_%s' % (slugify(product.key())) partData = memcache.get(cache_key) if not partData: for type in typeData: typeDict[type.typeId] = { 'default' : '', 'optional' : [] } ## Start of problem lines ## for defaultPart in product.defaultPartsData: for label in labelsForLangCode: if label.key() in defaultPart.partLabelList: typeDict[defaultPart.type.typeId]['default'] = label.partLangLabel for optionalPart in product.optionalPartsData: for label in labelsForLangCode: if label.key() in optionalPart.partLabelList: typeDict[optionalPart.type.typeId]['optional'].append(label.partLangLabel) ## end problem lines ## memcache.add(cache_key, typeDict, 500) partData = memcache.get(cache_key) productDict['parts'] = partData productList.append(productDict) I guess the problem lies in the number of for loops is too many and have to iterate over the same data over and over again. labelForLangCode get all labels from ProductPartLabels that match the current langCode. All parts for a product is stored in a db.ListProperty(db.key). The same goes for all labels for a part. The reason I need the some what complex dict is that I want to display all data for a product with it's default parts and show a selector for the optional one. The defaultPartsData and optionaPartsData are properties in the Product Model that looks like this: @property def defaultPartsData(self): return ProductParts.gql('WHERE __key__ IN :key', key = self.defaultParts) @property def optionalPartsData(self): return ProductParts.gql('WHERE __key__ IN :key', key = self.optionalParts) When the completed dict is in the memcache it works smoothly, but isn't the memcache reset if the application goes in to hibernation? Also I would like to show the page for first time user(memcache empty) with out the enormous delay. Also as I said above, this is only a small amount of parts/product. What will the result be when it's 30 products with 100 parts. Is one solution to create a scheduled task to cache it in the memcache every hour? It this efficient? I know this is alot to take in, but I'm stuck. I've been at this for about 12 hours straight. And can't figure out a solution. ..fredrik

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  • How to sort a Pandas DataFrame according to multiple criteria?

    - by user1715271
    I have the following DataFrame containing song names, their peak chart positions and the number of weeks they spent at position no 1: Song Peak Weeks 76 Paperback Writer 1 16 117 Lady Madonna 1 9 118 Hey Jude 1 27 22 Can't Buy Me Love 1 17 29 A Hard Day's Night 1 14 48 Ticket To Ride 1 14 56 Help! 1 17 109 All You Need Is Love 1 16 173 The Ballad Of John And Yoko 1 13 85 Eleanor Rigby 1 14 87 Yellow Submarine 1 14 20 I Want To Hold Your Hand 1 24 45 I Feel Fine 1 15 60 Day Tripper 1 12 61 We Can Work It Out 1 12 10 She Loves You 1 36 155 Get Back 1 6 8 From Me To You 1 7 115 Hello Goodbye 1 7 2 Please Please Me 2 20 92 Strawberry Fields Forever 2 12 93 Penny Lane 2 13 107 Magical Mystery Tour 2 16 176 Let It Be 2 14 0 Love Me Do 4 26 157 Something 4 9 166 Come Together 4 10 58 Yesterday 8 21 135 Back In The U.S.S.R. 19 3 164 Here Comes The Sun 58 19 96 Sgt. Pepper's Lonely Hearts Club Band 63 12 105 With A Little Help From My Friends 63 7 I'd like to rank these songs in order of popularity, so I'd like to sort them according to the following criteria: songs that reached the highest position come first, but if there is a tie, the songs that remained in the charts for the longest come first. I can't seem to figure out how to do this in Pandas.

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  • Send Special Keys to Gtk.VteTerminal

    - by Ubersoldat
    Hi I have this OSS Project called Monocaffe connections manager which uses the Gtk.VteTerminal widget from PyGTK. A nice feature is that it allows the users to send commands to different servers' consoles (cluster mode) using a Gtk.TextView for the input. The way I send key strokes to each Gtk.VteTerminal is by using the feed_child method. For common keys there's no problem: I simply feed what the TextView receives to all the terminals, but when doing so with special keys I get into a little trouble. For "Return" I catch the event and feed the terminal a '\n'. For back-space is the same, catch the event and feed a '\b'. def cluster_backspace(self, widget): return self.cluster_send_key('\b') The problem comes with other keys like Tab, Arrows, Esc which I don't know how to feed as str to the terminal to recognize them. In the case of Esc is a real pain, because the users can edit the same file on different servers using vi, but cannot escape insert mode. Anyway, I'm not looking for a complete solution, just ideas since I've ran out of them. Thanks.

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  • How can I make a dashboard with all pending tasks using Celery?

    - by e-satis
    I want to have some place where I can watch all the pendings tasks. I'm not talking about the registered functions/classes as tasks, but the actual scheduled jobs for which I could display: name, task_id, eta, worker, etc. Using Celery 2.0.2 and djcelery, I found `inspect' in the documentation. I tried: from celery.task.control import inspect def get_scheduled_tasks(nodes=None): if nodes: i = inspect(nodes) else: i = inspect() scheduled_tasks = [] dump = i.scheduled() if dump: for worker, tasks in dump: for task in tasks: scheduled_task = {} scheduled_task.update(task["request"]) del task["request"] scheduled_task.update(task) scheduled_task["worker"] = worker scheduled_tasks.append(scheduled_task) return scheduled_tasks But it hangs forever on dump = i.scheduled(). Strange, because otherwise everything works. Using Ubuntu 10.04, django 1.0 and virtualenv.

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  • foo and _foo - about variables inside a class

    - by kame
    class ClassName(object): """ """ def __init__(self, foo, bar): """ """ self.foo = foo # read-write property self.bar = bar # simple attribute def _set_foo(self, value): self._foo = value def _get_foo(self): return self._foo foo = property(_get_foo, _set_foo) a = ClassName(1,2) #a._set_foo(3) print a._get_foo() When I print a._get_foo() the function _get_foo prints the variable self._foo . But where does it come from? self._foo and self.foo are different, aren't they?

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  • Interrupting `while loop` with keyboard in Cython

    - by linello
    I want to be able to interrupt a long function with cython, using the usual CTRL+C interrupt command. My C++ long function is repeatedly called inside a while loop from Cython code, but I want to be able, during the loop, to send an "interrupt" and block the while loop. The interrupt also should wait the longFunction() to finish, so that no data are lost or kept in unknown status. This is one of my first implementation, which obviously doesn't work: computed=0; print "Computing long function..." while ( computed==0 ): try: computed = self.thisptr.aLongFunction() except (KeyboardInterrupt, SystemExit): computed=1 print '\n! Received keyboard interrupt.\n' break; (p.s. self.thisptr is the pointer to the current class which implements aLongFunction() )

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  • Sending object C from class A to class B

    - by user278618
    Hi, I can't figure out how to design classes in my system. In classA I create object selenium (it simulates user actions at website). In this ClassA I create another objects like SearchScreen, Payment_Screen and Summary_Screen. # -*- coding: utf-8 -*- from selenium import selenium import unittest, time, re class OurSiteTestCases(unittest.TestCase): def setUp(self): self.verificationErrors = [] self.selenium = selenium("localhost", 5555, "*chrome", "http://www.someaddress.com/") time.sleep(5) self.selenium.start() def test_buy_coffee(self): sel = self.selenium sel.open('/') sel.window_maximize() search_screen=SearchScreen(self.selenium) search_screen.choose('lavazza') payment_screen=PaymentScreen(self.selenium) payment_screen.fill_test_data() summary_screen=SummaryScreen(selenium) summary_screen.accept() def tearDown(self): self.selenium.stop() self.assertEqual([], self.verificationErrors) if __name__ == "__main__": unittest.main() It's example SearchScreen module: class SearchScreen: def __init__(self,selenium): self.selenium=selenium def search(self): self.selenium.click('css=button.search') I want to know if there is anything ok with a design of those classes?

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  • Online job-searching is tedious. Help me automate it.

    - by ehsanul
    Many job sites have broken searches that don't let you narrow down jobs by experience level. Even when they do, it's usually wrong. This requires you to wade through hundreds of postings that you can't apply for before finding a relevant one, quite tedious. Since I'd rather focus on writing cover letters etc., I want to write a program to look through a large number of postings, and save the URLs of just those jobs that don't require years of experience. I don't require help writing the scraper to get the html bodies of possibly relevant job posts. The issue is accurately detecting the level of experience required for the job. This should not be too difficult as job posts are usually very explicit about this ("must have 5 years experience in..."), but there may be some issues with overly simple solutions. In my case, I'm looking for entry-level positions. Often they don't say "entry-level", but inclusion of the words probably means the job should be saved. Next, I can safely exclude a job the says it requires "5 years" of experience in whatever, so a regex like /\d\syears/ seems reasonable to exclude jobs. But then, I realized some jobs say they'll take 0-2 years of experience, matches the exclusion regex but is clearly a job I want to take a look at. Hmmm, I can handle that with another regex. But some say "less than 2 years" or "fewer than 2 years". Can handle that too, but it makes me wonder what other patterns I'm not thinking of, and possibly excluding many jobs. That's what brings me here, to find a better way to do this than regexes, if there is one. I'd like to minimize the false negative rate and save all the jobs that seem like they might not require many years of experience. Does excluding anything that matches /[3-9]\syears|1\d\syears/ seem reasonable? Or is there a better way? Training a bayesian filter maybe?

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  • UnicodeDecodeError when redirecting to file

    - by zedoo
    Hi, I run this snippet twice, in the ubuntu terminal, (encoding set to utf-8) once with ./test.py and then with ./test.py >out.txt: uni = u"\u001A\u0BC3\u1451\U0001D10C" print uni Without redirection it prints garbage. With redirection I get a UnicodeDecodeError. Can someone explain why I get the error only in the second case, or even better give a detailed explanation of what's going on behind the curtain in both cases?

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  • which file stored os.environ,and store where , disk c: or disk d:

    - by zjm1126
    my code is : os.environ['ss']='ssss' print os.environ and it show : {'TMP': 'C:\\DOCUME~1\\ADMINI~1\\LOCALS~1\\Temp', 'COMPUTERNAME': 'PC-200908062210', 'USERDOMAIN': 'PC-200908062210', 'COMMONPROGRAMFILES': 'C:\\Program Files\\Common Files', 'PROCESSOR_IDENTIFIER': 'x86 Family 6 Model 15 Stepping 2, GenuineIntel', 'PROGRAMFILES': 'C:\\Program Files', 'PROCESSOR_REVISION': '0f02', 'SYSTEMROOT': 'C:\\WINDOWS', 'PATH': 'C:\\WINDOWS\\system32;C:\\WINDOWS;C:\\WINDOWS\\System32\\Wbem;C:\\Program Files\\Hewlett-Packard\\IAM\\bin;C:\\Program Files\\Common Files\\Thunder Network\\KanKan\\Codecs;D:\\Program Files\\TortoiseSVN\\bin;d:\\Program Files\\Mercurial\\;D:\\Program Files\\Graphviz2.26.3\\bin;D:\\TDDOWNLOAD\\ok\\gettext\\bin;D:\\Python25;C:\\Program Files\\StormII\\Codec;C:\\Program Files\\StormII;D:\\zjm_code\\;D:\\Python25\\Scripts;D:\\MinGW\\bin;d:\\Program Files\\Google\\google_appengine\\', 'TEMP': 'C:\\DOCUME~1\\ADMINI~1\\LOCALS~1\\Temp', 'BID': '56727834-D5C3-4EBF-BFAA-FA0933E4E721', 'PROCESSOR_ARCHITECTURE': 'x86', 'ALLUSERSPROFILE': 'C:\\Documents and Settings\\All Users', 'SESSIONNAME': 'Console', 'HOMEPATH': '\\Documents and Settings\\Administrator', 'USERNAME': 'Administrator', 'LOGONSERVER': '\\\\PC-200908062210', 'COMSPEC': 'C:\\WINDOWS\\system32\\cmd.exe', 'PATHEXT': '.COM;.EXE;.BAT;.CMD;.VBS;.VBE;.JS;.JSE;.WSF;.WSH', 'CLIENTNAME': 'Console', 'FP_NO_HOST_CHECK': 'NO', 'WINDIR': 'C:\\WINDOWS', 'APPDATA': 'C:\\Documents and Settings\\Administrator\\Application Data', 'HOMEDRIVE': 'C:', 'SS': 'ssss', 'SYSTEMDRIVE': 'C:', 'NUMBER_OF_PROCESSORS': '2', 'PROCESSOR_LEVEL': '6', 'OS': 'Windows_NT', 'USERPROFILE': 'C:\\Documents and Settings\\Administrator'} i find google-app-engine set user_id in os.version not in session,look here at line 96-100 and line 257 , and aeoid at line 177 , and i want to know : which file stored os.environ ,and store where , disk c: ,or disk d: ? thanks

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  • What is the difference between a site and an app in Django?

    - by larf311
    I know a site can have many apps but all the examples I see have the site called "mysite". I figured the site would be the name of your site, like StackOverflow for example. Would you do that and then have apps like "authentication", "questions", and "search"? Or would you really just have a site called mysite with one app called StackOverflow?

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  • How can I implement "real time" messaging on Google AppEngine?

    - by Freed
    I'm creating a web application on Google AppEngine where I want the user to be notified a quickly as possible after certain events occour. The problem is similar to say a chat server in that I need something happening on one connection (someone is writing a message in a chat room) to propagate to a number of other connections (other people in that chat room gets the message). To get speedy updates from the server to the client I'm planning on using long polling with XmlHttpRequest, hoping that AppEngine won't interfere other than possibly restriing the timeout. The real problem however is efficient notification between connections on AppEngine. Is there any support for this type of cross connection notification on AppEngine that does not involve busy-waiting? The only tools I can think of to do this at all is either using the data storage (slow) or memcache (unreliable), and none of them would let me avoid busy-waiting. Note: I know about XMPP support on AppEngine. It's related, but I want a browser based solution, sending messages to the users by XMPP is not an option.

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  • add extra data to response object to render in template

    - by mp0int
    I ned to write a code sniplet that enables to disable connection to some parts of a site. Admin and the mainpage will be displayable, but user section (which uses ajax) will be displayed, but can not be used (vith a transparent div set over the page). Also there is a few pages which will be disabled. my logic is that, i write a middleware, def process_request(self, request): if ayar.tonline_kapali: url_parcalari = request.path.split('/') if url_parcalari[0] not in settings.BAGIMSIZ_URLLER: if not request.is_ajax(): return render_to_response('bakim_modu.html') else: return None that code let me to display a "site closed" message for the urls not in BAGIMSIZ_URLLER (which contains urls that will be accessible) But i do not figure out how can i solve the problem about ajax pages... i need to set a header or something to the response and need to check it in the template.

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  • How to create and restore a backup from SqlAlchemy?

    - by swilliams
    I'm writing a Pylons app, and am trying to create a simple backup system where every table is serialized and tarred up into a single file for an administrator to download, and use to restore the app should something bad happen. I can serialize my table data just fine using the SqlAlchemy serializer, and I can deserialize it fine as well, but I can't figure out how to commit those changes back to the database. In order to serialize my data I am doing this: from myproject.model.meta import Session from sqlalchemy.ext.serializer import loads, dumps q = Session.query(MyTable) serialized_data = dumps(q.all()) In order to test things out, I go ahead and truncation MyTable, and then attempt to restore using serialized_data: from myproject.model import meta restore_q = loads(serialized_data, meta.metadata, Session) This doesn't seem to do anything... I've tried calling a Session.commit after the fact, individually walking through all the objects in restore_q and adding them, but nothing seems to work. What am I missing? Or is there a better way to do what I'm aiming for? I don't want to shell out and directly touch the database, since SqlAlchemy supports different database engines.

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  • How fast are App Engine db.get(keys) and A.all(keys_only=True).filter('b =', b).fetch(1000)?

    - by Liron Shapira
    A db.get() of 50 keys seems to take me 5-6 seconds. Is that normal? What is the time a function of? I also did a A.all(keys_only=True).filter('b =', b).fetch(1000) where A.b is a ReferenceProperty. I did 50 such round trips to the datastore, with different values of b, and the total time was only 3-4 seconds. How is this possible? db.get() is done in parallel, with only one trip to the datastore, and I would think that looking up an entity by key is a faster operation than fetch.

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  • Django. default=datetime.now() problem

    - by Shamanu4
    Hello. I've such db model: from datetime import datetime class TermPayment(models.Model): dev_session = models.ForeignKey(DeviceSession, related_name='payments') user_session = models.ForeignKey(UserSession, related_name='payment') date = models.DateTimeField(default=datetime.now(),blank=True) sum = models.FloatField(default=0) cnt = models.IntegerField(default=0) class Meta: db_table = 'term_payments' ordering = ['-date'] and here new instance is added: # ... tp = TermPayment() tp.dev_session = self.conn.session # device session hash tp.user_session = self.session # user session hash tp.sum = sum tp.cnt = cnt tp.save() But i've a problem: all records in database have the same value in date field - the date of the first payment. After server restart - one record have new date and others have the same as first after restart. It's look like some data cache is using but I can't found where. database: mysql 5.1.25 django v1.1.1

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  • Referencing other modules in atexit

    - by Dmitry Risenberg
    I have a function that is responsible for killing a child process when the program ends: class MySingleton: def __init__(self): import atexit atexit.register(self.stop) def stop(self): os.kill(self.sel_server_pid, signal.SIGTERM) However I get an error message when this function is called: Traceback (most recent call last): File "/usr/lib/python2.5/atexit.py", line 24, in _run_exitfuncs func(*targs, **kargs) File "/home/commando/Development/Diploma/streaminatr/stream/selenium_tests.py", line 66, in stop os.kill(self.sel_server_pid, signal.SIGTERM) AttributeError: 'NoneType' object has no attribute 'kill' Looks like the os and signal modules get unloaded before atexit is called. Re-importing them solves the problem, but this behaviour seems weird to me - these modules are imported before I register my handler, so why are they unloaded before my own exit handler runs?

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  • Named keywords in decorators?

    - by wheaties
    I've been playing around in depth with attempting to write my own version of a memoizing decorator before I go looking at other people's code. It's more of an exercise in fun, honestly. However, in the course of playing around I've found I can't do something I want with decorators. def addValue( func, val ): def add( x ): return func( x ) + val return add @addValue( val=4 ) def computeSomething( x ): #function gets defined If I want to do that I have to do this: def addTwo( func ): return addValue( func, 2 ) @addTwo def computeSomething( x ): #function gets defined Why can't I use keyword arguments with decorators in this manner? What am I doing wrong and can you show me how I should be doing it?

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  • Django startup importing causes reverse to happen

    - by nicknack
    This might be an isolated problem, but figured I'd ask in case someone has thoughts on a graceful approach to address it. Here's the setup: -------- views.py -------- from django.http import HttpResponse import shortcuts def mood_dispatcher(request): mood = magic_function_to_guess_my_mood(request) return HttpResponse('Please go to %s' % shortcuts.MOODS.get(mood, somedefault)) ------------ shortcuts.py ------------ MOODS = # expensive load that causes a reverse to happen The issue is that shortcuts.py causes an exception to be thrown when a reverse is attempted before django is done building the urls. However, views.py doesn't yet need to import shortcuts.py (used only when mood_dispatcher is actually called). Obvious initial solutions are: 1) Import shortcuts inline (just not very nice stylistically) 2) Make shortcuts.py build MOODS lazily (just more work) What I ideally would like is to be able to say, at the top of views.py, "import shortcuts except when loading urls"

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  • Encrypt file using M2Crypto

    - by Bear
    It is known that I can read the whole file content in memory and encrypt it using the following code. contents = fin.read() cipher = M2Crypto.EVP.Cipher(alg="aes_128_cbc", key = aes_key, iv = aes_iv, op = 1) encryptedContents = cipher.update(contents) encryptedContents += cipher.final() But what if the file size is large, is there a way for me to pass the input stream to M2Crypto instead of reading the whole file first?

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  • Is there something similar to 'rake routes' in django?

    - by The MYYN
    In rails, on can show the active routes with rake (http://guides.rubyonrails.org/routing.html): $ rake routes users GET /users {:controller=>"users", :action=>"index"} formatted_users GET /users.:format {:controller=>"users", :action=>"index"} POST /users {:controller=>"users", :action=>"create"} POST /users.:format {:controller=>"users", :action=>"create"} Is there a similar tool/command for django showing the e.g. the URL pattern, the name of the pattern (if any) and the associated function in the views?

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  • SQL Alchemy: Relationship with grandson

    - by giomasce
    I'm building a SQL Alchemy structure with three different levels of objects; for example, consider a simple database to store information about some blogs: there are some Blog object, some Post object and some Comment objects. Each Post belongs to a Blog and each Comment belongs to a Post. Using backref I can automatically have the list of all Posts belonging to a Blog and similarly for Comments. I drafted a skeleton for such a structure. What I would like to do now is to have directly in Blog an array of all the Comments belonging to that Blog. I've tried a few approaches, but they don't work or even make SQL Alchemy cry in ways I can't fix. I'd think that mine is quite a frequent need, but I couldn't find anything helpful. Colud someone suggest me how to do that? Thanks.

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