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• Django exclude(**kwargs) help

  - by shawnjan

  Hey guys/gals! I had a question for you, something that I can't seem to find the solution for... Basically, I have a model called Environment, and I am passing all of them to a view, and there are particular environments that I would like to exclude. Now, I know there is a exclude function on a queryset, but I can't seem to figure out how to use it for multiple options... For example, I tried this but it didn't work: kwargs = {"name": "env1", "name": "env2"} envs = Environment.objects.exclude( kwards ) But the only thing that it will exclude is the last "name" value in the list of kwargs. I understand why it does that now, but I still can't seem to exclude multiple objects with one command. Any help is much appreciated! Shawn

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• Django pagination | get current index of paginated item in page index, (not the page index range its

  - by cka

  I am trying to build a photo gallery with Django. It is set up by category. I have paginated the results of a category by n amount of images per page. I want to also use the paginator on the page that shows just the single image and have a prev/next button for the prev/next image in that category. My thought was to get the current index for the image itself and have that be the link to the /category/CUR_IMG_ID_PAGINATION_LIST/ as the result of paginating the entire set would yield the same index as the current image index in the paginated results. For instance if the image i want is image 45 out of 150 images total for a category, then when i paginate the 150 images the 45 will be the actual number of the page I want. If there's an easier way to do this, let me know. Django 1.1

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• Eventlet client-server

  - by johannix

  I'm trying to setup a server-client interraction: Server gets a string from client Server returns data to client I got this working with socket.send and socket.recv, but was wondering how to get it working with files through socket.makefile. I've got most of the pieces working, but don't know how to force each of the pieces to read at the appropriate time. So what it looks like is happening is that both the client and server are reading on the socket at the same time. Any ideas on how to let the server complete the original read before the client starts waiting for its information? Below are the core pieces that reproduce the read lock. Server: def handle(green_socket): file_handler = green_socket.makefile('rw') print 'before server read' lines = file_handler.readlines() print "readlines: %s" % (lines) print '** Server started **' server = eventlet.listen((HOST, PORT)) pool = eventlet.GreenPool() while True: new_sock, address = server.accept() pool.spawn_n(handle, new_sock) Client: from eventlet.green import socket green_socket = eventlet.connect((HOST, PORT)) file_handler = green_socket.makefile('rw') print 'before write' file_handler.writelines('client message') file_handler.flush() print 'before client read' lines = file_handler.readlines()

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• Django JSON serializable error

  - by Hulk

  With the following code below, There is an error saying File "/home/user/web_pro/info/views.py", line 184, in headerview, raise TypeError("%r is not JSON serializable" % (o,)) TypeError: <lastname: jerry> is not JSON serializable In the models code header(models.Model): firstname = models.ForeignKey(Firstname) lastname = models.ForeignKey(Lastname) In the views code headerview(request): header = header.objects.filter(created_by=my_id).order_by(order_by)[offset:limit] l_array = [] l_array_obj = [] for obj in header: l_array_obj = [obj.title, obj.lastname ,obj.firstname ] l_array.append(l_array_obj) dictionary_l.update({'Data': l_array}) ; return HttpResponse(simplejson.dumps(dictionary_l), mimetype='application/javascript') what is this error and how to resolve this? thanks..

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• Django syncdb error

  - by Hulk

  /mysite/project4 class notes(models.Model): created_by = models.ForeignKey(User) detail = models.ForeignKey(Details) Details and User are in the same module i.e,/mysite/project1 In project1 models i have defined class User(): ...... class Details(): ...... When DB i synced there is an error saying Error: One or more models did not validate: project4: Accessor for field 'detail' clashes with related field . Add a related_name argument to the definition for 'detail'. How can this be solved.. thanks..

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• How to implement full text search in Django?

  - by Jannis

  I would like to implement a search function in a django blogging application. The status quo is that I have a list of strings supplied by the user and the queryset is narrowed down by each string to include only those objects that match the string. See: if request.method == "POST": form = SearchForm(request.POST) if form.is_valid(): posts = Post.objects.all() for string in form.cleaned_data['query'].split(): posts = posts.filter( Q(title__icontains=string) | Q(text__icontains=string) | Q(tags__name__exact=string) ) return archive_index(request, queryset=posts, date_field='date') Now, what if I didn't want do concatenate each word that is searched for by a logical AND but with a logical OR? How would I do that? Is there a way to do that with Django's own Queryset methods or does one have to fall back to raw SQL queries? In general, is it a proper solution to do full text search like this or would you recommend using a search engine like Solr, Whoosh or Xapian. What are there benefits? Thanks for taking the time

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• Copying contents of a model

  - by Hulk

  If there exists an old data of a model say , query=Emp.objects.filter(pk=profile.id) Is there a easier way to copy the same values into the same model again.. Now that the id will be different so.. I have this requirement. Thanks..

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• Why is my implementation of the Sieve of Atkin overlooking numbers close to the specified limit?

  - by Ross G

  My implementation either overlooks primes near the limit or composites near the limit. while some limits work and others don't. I'm am completely confused as to what is wrong. def AtkinSieve (limit): results = [2,3,5] sieve = [False]*limit factor = int(math.sqrt(lim)) for i in range(1,factor): for j in range(1, factor): n = 4*i**2+j**2 if (n <= lim) and (n % 12 == 1 or n % 12 == 5): sieve[n] = not sieve[n] n = 3*i**2+j**2 if (n <= lim) and (n % 12 == 7): sieve[n] = not sieve[n] if i>j: n = 3*i**2-j**2 if (n <= lim) and (n % 12 == 11): sieve[n] = not sieve[n] for index in range(5,factor): if sieve[index]: for jndex in range(index**2, limit, index**2): sieve[jndex] = False for index in range(7,limit): if sieve[index]: results.append(index) return results For example, when I generate a primes to the limit of 1000, the Atkin sieve misses the prime 997, but includes the composite 965. But if I generate up the limit of 5000, the list it returns is completely correct.

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• Why is my implementation of the Sieve of Atkin overlooking numbers close to the specified limit?

  - by Ross G

  My implementation either overlooks primes near the limit or composites near the limit. while some limits work and others don't. I'm am completely confused as to what is wrong. def AtkinSieve (limit): results = [2,3,5] sieve = [False]*limit factor = int(math.sqrt(lim)) for i in range(1,factor): for j in range(1, factor): n = 4*i**2+j**2 if (n <= lim) and (n % 12 == 1 or n % 12 == 5): sieve[n] = not sieve[n] n = 3*i**2+j**2 if (n <= lim) and (n % 12 == 7): sieve[n] = not sieve[n] if i>j: n = 3*i**2-j**2 if (n <= lim) and (n % 12 == 11): sieve[n] = not sieve[n] for index in range(5,factor): if sieve[index]: for jndex in range(index**2, limit, index**2): sieve[jndex] = False for index in range(7,limit): if sieve[index]: results.append(index) return results For example, when I generate a primes to the limit of 1000, the Atkin sieve misses the prime 997, but includes the composite 965. But if I generate up the limit of 5000, the list it returns is completely correct.

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• Problem with hash function: hash(1) == hash(1.0)

  - by mtasic

  I have an instance of dict with ints, floats, strings as keys, but the problem is when there are a as int and b as float, and float(a) == b, then their hash values are the same, and thats what I do NOT want to get because I need unique hash vales for this cases in order to get corresponding values. Example: d = {1:'1', 1.0:'1.0', '1':1, '1.0':1.0} d[1] == '1.0' d[1.0] == '1.0' d['1'] == 1 d['1.0'] == 1.0 What I need is: d = {1:'1', 1.0:'1.0', '1':1, '1.0':1.0} d[1] == '1' d[1.0] == '1.0' d['1'] == 1 d['1.0'] == 1.0

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• Django url parameters

  - by Hulk

  How to pass two paramters in urls in django <script> url=/toolbox/display/" + id + "2"; window.location=url; </script> Also how is this handeled in urls.py (r'^display/(?P<rid>\d+)/(?P<param>\d+)/$', 'table_display'), In views, def table_display(request,rid,param): print param //This should print 2

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• vectorizing a for loop in numpy/scipy?

  - by user248237

  I'm trying to vectorize a for loop that I have inside of a class method. The for loop has the following form: it iterates through a bunch of points and depending on whether a certain variable (called "self.condition_met" below) is true, calls a pair of functions on the point, and adds the result to a list. Each point here is an element in a vector of lists, i.e. a data structure that looks like array([[1,2,3], [4,5,6], ...]). Here is the problematic function: def myClass: def my_inefficient_method(self): final_vector = [] # Assume 'my_vector' and 'my_other_vector' are defined numpy arrays for point in all_points: if not self.condition_met: a = self.my_func1(point, my_vector) b = self.my_func2(point, my_other_vector) else: a = self.my_func3(point, my_vector) b = self.my_func4(point, my_other_vector) c = a + b final_vector.append(c) # Choose random element from resulting vector 'final_vector' self.condition_met is set before my_inefficient_method is called, so it seems unnecessary to check it each time, but I am not sure how to better write this. Since there are no destructive operations here it is seems like I could rewrite this entire thing as a vectorized operation -- is that possible? any ideas how to do this?

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• Deploying Pylons with Nginx reverse proxy?

  - by resopollution

  Is there a tutorial on how to deploy Pylons with Nginx? I've been able to start nginx and then serve pylons to :8080 with paster serve development.ini However, I can't seem to do other stuff as pylons locks me into that serve mode. If I try to CTRL+Z out of pylons serving to do other stuff on my server, pylons goes down. There must be a different method of deployment. PS - I've done all this: http://wiki.pylonshq.com/display/pylonscookbook/Running+Pylons+with+NGINX?showComments=true#comments I just have no clue what to do with the Pylons app other than paster serve. Not sure if tehre is a different method.

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• Email Validation from WTForm using Flask

  - by lost9123193

  I'm following a Flask tutorial from http://code.tutsplus.com/tutorials/intro-to-flask-adding-a-contact-page--net-28982 and am currently stuck on the validation step: The old version had the following: from flask.ext.wtf import Form, TextField, TextAreaField, SubmitField, validators, ValidationError class ContactForm(Form): name = TextField("Name", [validators.Required("Please enter your name.")]) email = TextField("Email", [validators.Required("Please enter your email address."), validators.Email("Please enter your email address.")]) submit = SubmitField("Send") Reading the comments I updated it to this: (replaced validators.Required with InputRequired) (same fields) class ContactForm(Form): name = TextField("Name", validators=[InputRequired('Please enter your name.')]) email = EmailField("Email", validators=[InputRequired("Please enter your email address.")]), validators.Email("Please enter your email address.")]) submit = SubmitField("Send") My only issue is I don't know what to do with the validators.Email. The error message I get is: NameError: name 'validators' is not defined I've looked over the documentation, perhaps I didn't delve deep enough but I can't seem to find an example for email validation.

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• How do I use m2crypto to validate a X509 certificate chain in a non-SSL setting

  - by Brock Pytlik

  I'm trying to figure out how to, using m2crypto, validate the chain of trust from a public key version of a X509 certificate back to one of a set of known root CA's when the chain may be arbitrarily long. The SSL.Context module looks promising except that I'm not doing this in the context of a SSL connection and I can't see how the information passed to load_verify_locations is used. Essentially, I'm looking for the interface that's equivalent to: openssl verify pub_key_x509_cert Is there something like that in m2crypto? Thanks.

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• How to setting Camera options in Blender

  - by vernomcrp

  i try to create car's type game, but when i choose camera view , a view is not real every building have miss shape its look like perspective view .So i finding how to config it

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• Disco/MapReduce: Using results of previous iteration as input to new iteration

  - by muckabout

  Currently am implementing PageRank on Disco. As an iterative algorithm, the results of one iteration are used as input to the next iteration. I have a large file which represents all the links, with each row representing a page and the values in the row representing the pages to which it links. For Disco, I break this file into N chunks, then run MapReduce for one round. As a result, I get a set of (page, rank) tuples. I'd like to feed this rank to the next iteration. However, now my mapper needs two inputs: the graph file, and the pageranks. I would like to "zip" together the graph file and the page ranks, such that each line represents a page, it's rank, and it's out links. Since this graph file is separated into N chunks, I need to split the pagerank vector into N parallel chunks, and zip the regions of the pagerank vectors to the graph chunks This all seems more complicated than necessary, and as a pretty straightforward operation (with the quintessential mapreduce algorithm), it seems I'm missing something about Disco that could really simplify the approach. Any thoughts?

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• queries in django

  - by Hulk

  How to query Employee to get all the address related to the employee, Employee.Add.all() doe not work.. class Employee(): Add = models.ManyToManyField(Address) parent = models.ManyToManyField(Parent, blank=True, null=True) class Address(models.Model): address_emp = models.CharField(max_length=512) description = models.TextField() def __unicode__(self): return self.name()

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• Django urls on json request

  - by Hulk

  When making a django request through json as, var info=id + "##" +name+"##" $.post("/supervise/activity/" + info ,[] , function Handler(data,arr) { } In urls.py (r'^activity/(?P<info>\d+)/$, 'activity'), In views, def activity(request,info): print info The request does not go through.info is a string.How can this be resolved Thanks..

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• Django QuerySet ordering by number of reverse ForeignKey matches

  - by msanders

  I have the following Django models: class Foo(models.Model): title = models.CharField(_(u'Title'), max_length=600) class Bar(models.Model): foo = models.ForeignKey(Foo) eg_id = models.PositiveIntegerField(_(u'Example ID'), default=0) I wish to return a list of Foo objects which have a reverse relationship with Bar objects that have a eg_id value contained in a list of values. So I have: id_list = [7, 8, 9, 10] qs = Foo.objects.filter(bar__eg_id__in=id_list) How do I order the matching Foo objects according to the number of related Bar objects which have an eg_id value in the id_list?

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• Iterating through a JSON object.

  - by user327508

  [ { "title": "Baby (Feat. Ludacris) - Justin Bieber", "description": "Baby (Feat. Ludacris) by Justin Bieber on Grooveshark", "link": "http://listen.grooveshark.com/s/Baby+Feat+Ludacris+/2Bqvdq", "pubDate": "Wed, 28 Apr 2010 02:37:53 -0400", "pubTime": 1272436673, "TinyLink": "http://tinysong.com/d3wI", "SongID": "24447862", "SongName": "Baby (Feat. Ludacris)", "ArtistID": "1118876", "ArtistName": "Justin Bieber", "AlbumID": "4104002", "AlbumName": "My World (Part II);\nhttp://tinysong.com/gQsw", "LongLink": "11578982", "GroovesharkLink": "11578982", "Link": "http://tinysong.com/d3wI" }, { "title": "Feel Good Inc - Gorillaz", "description": "Feel Good Inc by Gorillaz on Grooveshark", "link": "http://listen.grooveshark.com/s/Feel+Good+Inc/1UksmI", "pubDate": "Wed, 28 Apr 2010 02:25:30 -0400", "pubTime": 1272435930 } ] That is the current JSON object I have. I am now trying to iterate through it to get the import stuff like title and link. This is where I am having trouble I cant seem to get to the content that is past the ":" i tried doing dictionary way couldn't get it. def getLastSong(user,limit): base_url = 'http://gsuser.com/lastSong/' user_url = base_url + str(user) + '/' + str(limit) + "/" raw = urllib.urlopen(user_url) json_raw= raw.readlines() json_object = json.loads(json_raw[0]) #filtering and making it look good. gsongs = [] print json_object for song in json_object[0]: print song This code prints all the information before ":" Please help. ignore the Justin Bieber track :)

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• Error using httlib's HTTPSConnection with PKCS#12 certificate

  - by Remi Despres-Smyth

  Hello. I'm trying to use httplib's HTTPSConnection for client validation, using a PKCS #12 certificate. I know the certificate is good, as I can connect to the server using it in MSIE and Firefox. Here's my connect function (the certificate includes the private key). I've pared it down to just the basics: def connect(self, cert_file, host, usrname, passwd): self.cert_file = cert_file self.host = host self.conn = httplib.HTTPSConnection(host=self.host, port=self.port, key_file=cert_file, cert_file=cert_file) self.conn.putrequest('GET', 'pathnet/,DanaInfo=200.222.1.1+') self.conn.endheaders() retCreateCon = self.conn.getresponse() if is_verbose: print "Create HTTPS connection, " + retCreateCon.read() (Note: No comments on the hard-coded path, please - I'm trying to get this to work first; I'll make it pretty afterwards. The hard-coded path is correct, as I connect to it in MSIE and Firefox. I changed the IP address for the post.) When I try to run this using a PKCS#12 certificate (a .pfx file), I get back what appears to be an openSSL error. Here is the entire error traceback: File "Usinghttplib_Test.py", line 175, in t.connect(cert_file=opts["-keys"], host=host_name, usrname=opts["-username"], passwd=opts["-password"]) File "Usinghttplib_Test.py", line 40, in connect self.conn.endheaders() File "c:\python26\lib\httplib.py", line 904, in endheaders self._send_output() File "c:\python26\lib\httplib.py", line 776, in _send_output self.send(msg) File "c:\python26\lib\httplib.py", line 735, in send self.connect() File "c:\python26\lib\httplib.py", line 1112, in connect self.sock = ssl.wrap_socket(sock, self.key_file, self.cert_file) File "c:\python26\lib\ssl.py", line 350, in wrap_socket suppress_ragged_eofs=suppress_ragged_eofs) File "c:\python26\lib\ssl.py", line 113, in __init__ cert_reqs, ssl_version, ca_certs) ssl.SSLError: [Errno 336265225] _ssl.c:337: error:140B0009:SSL routines:SSL_CTX_use_PrivateKey_file:PEM lib Notice, the openSSL error (the last entry in the list) notes "PEM lib", which I found odd, since I'm not trying to use a PEM certificate. For kicks, I converted the PKCS#12 cert to a PEM cert, and ran the same code using that. In that case, I received no error, I was prompted to enter the PEM pass phrase, and the code did attempt to reach the server. (I received the response "The service is not available. Please try again later.", but I believe that would be because the server does not accept the PEM cert. I can't connect in Firefox to the server using the PEM cert either.) Is httplib's HTTPSConnection supposed to support PCKS#12 certificates? (That is, pfx files.) If so, why does it look like openSSL is trying to load it inside the PEM lib? Am I doing this all wrong? Any advice is welcome. EDIT: The certificate file contains both the certificate and the private key, which is why I'm providing the same file name for both the HTTPSConnection's key_file and cert_file parameters.

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• Undefined variable from import when using wxPython in pydev

  - by Bibendum

  I just downloaded wxPython, and was running some of the sample programs from here. However, on every line that uses a variable from wx.*, I get a "Undefined variable from import error" For example, the following program generates five errors on lines 1,4,8, and two on line 5: import wx class MyFrame(wx.Frame): """ We simply derive a new class of Frame. """ def __init__(self, parent, title): wx.Frame.__init__(self, parent, title=title, size=(200,100)) self.control = wx.TextCtrl(self, style=wx.TE_MULTILINE) self.Show(True) app = wx.App(False) frame = MyFrame(None, 'Small editor') app.MainLoop() The program, however, compiles and runs perfectly. I haven't made any significant modifications to pydev or eclipse, and the wxPython install is fresh.

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• How to digitally sign a message with M2Crypto using the keys within a DER format certificate

  - by Pablo Santos

  Hi everyone. I am working on a project to implement digital signatures of outgoing messages and decided to use M2Crypto for that. I have a certificate (in DER format) from which I extract the keys to sign the message. For some reason I keep getting an ugly segmentation fault error when I call the "sign_update" method. Given the previous examples I have read here, I am clearly missing something. Here is the example I am working on: from M2Crypto.X509 import * cert = load_cert( 'certificate.cer', format=0 ) Pub_key = cert.get_pubkey() Pub_key.reset_context(md='sha1') Pub_key.sign_init() Pub_key.sign_update( "This should be good." ) print Pub_key.sign_final() Thanks in advance for the help, Pablo

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• How to optimize my PageRank calculation?

  - by asmaier

  In the book Programming Collective Intelligence I found the following function to compute the PageRank: def calculatepagerank(self,iterations=20): # clear out the current PageRank tables self.con.execute("drop table if exists pagerank") self.con.execute("create table pagerank(urlid primary key,score)") self.con.execute("create index prankidx on pagerank(urlid)") # initialize every url with a PageRank of 1.0 self.con.execute("insert into pagerank select rowid,1.0 from urllist") self.dbcommit() for i in range(iterations): print "Iteration %d" % i for (urlid,) in self.con.execute("select rowid from urllist"): pr=0.15 # Loop through all the pages that link to this one for (linker,) in self.con.execute("select distinct fromid from link where toid=%d" % urlid): # Get the PageRank of the linker linkingpr=self.con.execute("select score from pagerank where urlid=%d" % linker).fetchone()[0] # Get the total number of links from the linker linkingcount=self.con.execute("select count(*) from link where fromid=%d" % linker).fetchone()[0] pr+=0.85*(linkingpr/linkingcount) self.con.execute("update pagerank set score=%f where urlid=%d" % (pr,urlid)) self.dbcommit() However, this function is very slow, because of all the SQL queries in every iteration >>> import cProfile >>> cProfile.run("crawler.calculatepagerank()") 2262510 function calls in 136.006 CPU seconds Ordered by: standard name ncalls tottime percall cumtime percall filename:lineno(function) 1 0.000 0.000 136.006 136.006 <string>:1(<module>) 1 20.826 20.826 136.006 136.006 searchengine.py:179(calculatepagerank) 21 0.000 0.000 0.528 0.025 searchengine.py:27(dbcommit) 21 0.528 0.025 0.528 0.025 {method 'commit' of 'sqlite3.Connecti 1 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler 1339864 112.602 0.000 112.602 0.000 {method 'execute' of 'sqlite3.Connec 922600 2.050 0.000 2.050 0.000 {method 'fetchone' of 'sqlite3.Cursor' 1 0.000 0.000 0.000 0.000 {range} So I optimized the function and came up with this: def calculatepagerank2(self,iterations=20): # clear out the current PageRank tables self.con.execute("drop table if exists pagerank") self.con.execute("create table pagerank(urlid primary key,score)") self.con.execute("create index prankidx on pagerank(urlid)") # initialize every url with a PageRank of 1.0 self.con.execute("insert into pagerank select rowid,1.0 from urllist") self.dbcommit() inlinks={} numoutlinks={} pagerank={} for (urlid,) in self.con.execute("select rowid from urllist"): inlinks[urlid]=[] numoutlinks[urlid]=0 # Initialize pagerank vector with 1.0 pagerank[urlid]=1.0 # Loop through all the pages that link to this one for (inlink,) in self.con.execute("select distinct fromid from link where toid=%d" % urlid): inlinks[urlid].append(inlink) # get number of outgoing links from a page numoutlinks[urlid]=self.con.execute("select count(*) from link where fromid=%d" % urlid).fetchone()[0] for i in range(iterations): print "Iteration %d" % i for urlid in pagerank: pr=0.15 for link in inlinks[urlid]: linkpr=pagerank[link] linkcount=numoutlinks[link] pr+=0.85*(linkpr/linkcount) pagerank[urlid]=pr for urlid in pagerank: self.con.execute("update pagerank set score=%f where urlid=%d" % (pagerank[urlid],urlid)) self.dbcommit() This function is 20 times faster (but uses a lot more memory for all the temporary dictionaries) because it avoids the unnecessary SQL queries in every iteration: >>> cProfile.run("crawler.calculatepagerank2()") 64802 function calls in 6.950 CPU seconds Ordered by: standard name ncalls tottime percall cumtime percall filename:lineno(function) 1 0.004 0.004 6.950 6.950 <string>:1(<module>) 1 1.004 1.004 6.946 6.946 searchengine.py:207(calculatepagerank2 2 0.000 0.000 0.104 0.052 searchengine.py:27(dbcommit) 23065 0.012 0.000 0.012 0.000 {meth 'append' of 'list' objects} 2 0.104 0.052 0.104 0.052 {meth 'commit' of 'sqlite3.Connection 1 0.000 0.000 0.000 0.000 {meth 'disable' of '_lsprof.Profiler' 31298 5.809 0.000 5.809 0.000 {meth 'execute' of 'sqlite3.Connectio 10431 0.018 0.000 0.018 0.000 {method 'fetchone' of 'sqlite3.Cursor' 1 0.000 0.000 0.000 0.000 {range} But is it possible to further reduce the number of SQL queries to speed up the function even more?

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