Search Results

Search found 13596 results on 544 pages for 'mechanize python'.

Page 339/544 | < Previous Page | 335 336 337 338 339 340 341 342 343 344 345 346  | Next Page >

  • How to deserialize an object with pyYaml using safe_load?

    - by systempuntoout
    Having a snippet like this: import yaml class User(object): def __init__(self, name, surname): self.name= name self.surname= surname user = User('spam', 'eggs') serialized_user = yaml.dump(user) #Network deserialized_user = yaml.load(serialized_user) print "name: %s, sname: %s" % (deserialized_user.name, deserialized_user.surname) Yaml docs says that it is not safe to call yaml.load with any data received from an untrusted source; so, what do i need to modify to my snippet\class to use safe_load method? Is it possible?

    Read the article

  • Configuring Eclipse with wxPython

    - by Alex
    Hi, I've been browsing documentation, but haven't been able to find a straightforward tutorial, so I apologize if this is a really simple question. Anyway, I have eclipse with pydev installed on MAC OSX, and I want configure wxPython to work with eclipse, how do I do this? Once I've downloaded wxpython, what steps do I take to allow wxPython development from eclipse? Thanks!

    Read the article

  • Formatting inline many-to-many related models presented in django admin

    - by Jonathan
    I've got two django models (simplified): class Product(models.Model): name = models.TextField() price = models.IntegerField() class Invoice(models.Model): company = models.TextField() customer = models.TextField() products = models.ManyToManyField(Product) I would like to see the relevant products as a nice table (of product fields) in an Invoice page in admin and be able to link to the individual respective Product pages. My first thought was using the admin's inline - but django used a select box widget per related Product. This isn't linked to the Product pages, and also as I have thousands of products, and each select box independently downloads all the product names, it quickly becomes unreasonably slow. So I turned to using ModelAdmin.filter_horizontal as suggested here, which used a single instance of a different widget, where you have a list of all Products and another list of related Products and you can add\remove products in the later from the former. This solved the slowness, but it still doesn't show the relevant Product fields, and it ain't linkable. So, what should I do? tweak views? override ModelForms? I Googled around and couldn't find any example of such code...

    Read the article

  • How to use SQLAlchemy to dump an SQL file from query expressions to bulk-insert into a DBMS?

    - by Mahmoud Abdelkader
    Please bear with me as I explain the problem, how I tried to solve it, and my question on how to improve it is at the end. I have a 100,000 line csv file from an offline batch job and I needed to insert it into the database as its proper models. Ordinarily, if this is a fairly straight-forward load, this can be trivially loaded by just munging the CSV file to fit a schema, but I had to do some external processing that requires querying and it's just much more convenient to use SQLAlchemy to generate the data I want. The data I want here is 3 models that represent 3 pre-exiting tables in the database and each subsequent model depends on the previous model. For example: Model C --> Foreign Key --> Model B --> Foreign Key --> Model A So, the models must be inserted in the order A, B, and C. I came up with a producer/consumer approach: - instantiate a multiprocessing.Process which contains a threadpool of 50 persister threads that have a threadlocal connection to a database - read a line from the file using the csv DictReader - enqueue the dictionary to the process, where each thread creates the appropriate models by querying the right values and each thread persists the models in the appropriate order This was faster than a non-threaded read/persist but it is way slower than bulk-loading a file into the database. The job finished persisting after about 45 minutes. For fun, I decided to write it in SQL statements, it took 5 minutes. Writing the SQL statements took me a couple of hours, though. So my question is, could I have used a faster method to insert rows using SQLAlchemy? As I understand it, SQLAlchemy is not designed for bulk insert operations, so this is less than ideal. This follows to my question, is there a way to generate the SQL statements using SQLAlchemy, throw them in a file, and then just use a bulk-load into the database? I know about str(model_object) but it does not show the interpolated values. I would appreciate any guidance for how to do this faster. Thanks!

    Read the article

  • How hard is it to modify the Django Models?

    - by alex
    I am doing geolocation, and Django does not have a PointField. So, I am forced to writing in RAW SQL. GeoDjango, the Django library, does not support the following query for MYSQL databases (can someone verify that for me?) cursor.execute("SELECT id FROM l_tag WHERE\ (GLength(LineStringFromWKB(LineString(asbinary(utm),asbinary(PointFromWKB(point(%s, %s)))))) < %s + accuracy + %s)\ I don't nkow why GeoDjango library cannot do this in MYSQL database. I hate writing RAW SQL for calculating distances between two points. Is there a way I can create my own library for Django that can handle this? If so, how hard is it?

    Read the article

  • How to use Django's filesizeformat

    - by Scott LaPlant
    I have a small app I'm working on where I'm trying to use Django's built in filesizeformat. Currently, the format looks like this: {{ value|filesizeformat }} I understand I need to define this in my view.py file but, I can't seem to figure out how to do that. I've tried to use the syntax below: def filesizeformat(bytes): """ Formats the value like a 'human-readable' file size (i.e. 13 KB, 4.1 MB, 102 bytes, etc). """ try: bytes = float(bytes) except (TypeError,ValueError,UnicodeDecodeError): return u"0 bytes" if bytes < 1024: return ungettext("%(size)d byte", "%(size)d bytes", bytes) % {'size': bytes} if bytes < 1024 * 1024: return ugettext("%.1f KB") % (bytes / 1024) if bytes < 1024 * 1024 * 1024: return ugettext("%.1f MB") % (bytes / (1024 * 1024)) return ugettext("%.1f GB") % (bytes / (1024 * 1024 * 1024)) filesizeformat.is_safe = True I've then replaced 'value' with 'bytes' in the template but, this does not seem to work. Any suggestions?

    Read the article

  • Implementing __concat__

    - by Casebash
    I tried to implement __concat__, but it didn't work >>> class lHolder(): ... def __init__(self,l): ... self.l=l ... def __concat__(self, l2): ... return self.l+l2 ... def __iter__(self): ... return self.l.__iter__() ... >>> lHolder([1])+[2] Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: unsupported operand type(s) for +: 'lHolder' and 'list' How can I fix this?

    Read the article

  • Django1.1 model field value preprocessing before returning

    - by Satoru.Logic
    Hi, all. I have a model class like this: class Note(models.Model): author = models.ForeignKey(User, related_name='notes') content = NoteContentField(max_length=256) NoteContentField is a custom sub-class of CharField that override the to_python method in purpose of doing some twitter-text-conversion processing. class NoteContentField(models.CharField): __metaclass__ = models.SubfieldBase def to_python(self, value): value = super(NoteContentField, self).to_python(value) from ..utils import linkify return mark_safe(linkify(value)) However, this doesn't work. When I save a Note object like this: note = Note(author=request.use, content=form.cleaned_data['content']) note.save() The conversed value is saved into the database, which is not what I wanna see. What I'm trying to do is to save the raw content into the database, and only make the conversion when the content attribute is later accessed. Would you please tell me what's wrong with this? Thanks to Pierre and Daniel. I have figured out what's wrong. I thought the text-conversion code should be in either to_python or get_db_prep_value, and that's wrong. I should override both of them, make to_python do the conversion and get_db_prep_value return the unconversed value: from ..utils import linkify class NoteContentField(models.CharField): __metaclass__ = models.SubfieldBase def to_python(self, value): self._raw_value = super(NoteContentField, self).to_python(value) return mark_safe(linkify(self._raw_value)) def get_db_prep_value(self, value): return self._raw_value I wonder if there is a better way to implement this?

    Read the article

  • Math on Django Templates

    - by Leandro Abilio
    Here's another question about Django. I have this code: views.py cursor = connections['cdr'].cursor() calls = cursor.execute("SELECT * FROM cdr where calldate > '%s'" %(start_date)) result = [SQLRow(cursor, r) for r in cursor.fetchall()] return render_to_response("cdr_user.html", {'calls':result }, context_instance=RequestContext(request)) I use a MySQL query like that because the database is not part of a django project. My cdr table has a field called duration, I need to divide that by 60 and multiply the result by a float number like 0.16. Is there a way to multiply this values using the template tags? If not, is there a good way to do it in my views? My template is like this: {% for call in calls %} <tr class="{% cycle 'odd' 'even' %}"><h3> <td valign="middle" align="center"><h3>{{ call.calldate }}</h3></td> <td valign="middle" align="center"><h3>{{ call.disposition }}</h3></td> <td valign="middle" align="center"><h3>{{ call.dst }}</h3></td> <td valign="middle" align="center"><h3>{{ call.billsec }}</h3></td> <td valign="middle" align="center">{{ (call.billsec/60)*0.16 }}</td></h3> </tr> {% endfor %} The last is where I need to show the value, I know the "(call.billsec/60)*0.16" is impossible to be done there. I wrote it just to represent what I need to show.

    Read the article

  • Modify headers in Pylons using Middleware

    - by Anders
    Hi all, I'm trying to modify a header using Middleware in Pylons to make my application RESTful, basically, if the user request "application/json" via GET that is what he get back. The question I have is, the variable headers is basically a long list. Looking something like this: [('Content-Type', 'text/html; charset=utf-8'), ('Pragma', 'no-cache'), ('Cache-Control', 'no-cache'), ('Content-Length','20'), ('Content-Encoding', 'gzip')] Now, I'm looking to just modify the value based on the request - but are these positions fixed? Will 'Content-Type' always be position headers[0][0]? Best Regards, Anders

    Read the article

  • Multi choice form field in Django

    - by Dingo
    Hi! I'am developing application on app-engine-path. I would like to make form with multichoice (acceptably languages for user). Code look like this: Language settings: settings.LANGUAGES = ((u"cs", u"Ceština"), (u"en", u"English")) Form model: class UserForm(forms.ModelForm): first_name = forms.CharField(max_length=100) last_name = forms.CharField(max_length=100) languages = forms.MultipleChoiceField(widget=forms.CheckboxSelectMultiple, choices=settings.LANGUAGES) The form is rendered o.k. (all languages have checkbox. IDs, NAMEs is ok.) But if I save some languages for user, those languages don't check checkboxes. User model look like this class User(User): #... languages = db.StringListProperty() #... and view: def edit_profile(request): user = request.user if request.method == 'POST': form = UserForm(request.POST) if form.is_valid(): # ... else: form = UserForm(instance=user) data = {"user":user, "form": form} return render_to_response(request, 'user_profile/user_profile.html', data)

    Read the article

  • Rebuilding website from Django 0.96 to Django 1.2

    - by Neytiri
    I've got a website done in Django 0.96 (done in 2007), and now we are thinking about rebuilding it (not just migrating) for Django 1.2 . Can anyone point me to the new (and worth the while) widgets, plugins and other stuff for Django 1.2 (released in april 2010). I've heard of "South" and of a widget for debugging (can't remember the name), but I'm a little lost here.

    Read the article

  • Pretty-printing of numpy.array

    - by camillio
    Hello, I'm curious, whether there is any way to print formated numpy.arrays, e.g., in the way similar to this: x = 1.23456 print '%.3f' % x If I want to print the numpy.array of floats, it prints several decimals, often in 'scientific' format, which is rather hard to read even for low-dimensional arrays. However, numpy.array apparently has to be printed as a string, i.e., with %s. Is there any solution ready for this purpose? Many thanks in advance :-)

    Read the article

  • openerp client customization

    - by iamgopal
    openerp client seems to be nice and working , i would like to hack it and use it as a front end to my open erp solution. but the documentation regarding client side design or customization is poor on openerp site , is there any good reference or documentation available for further digging in to openerp client side coding ? or more : if any similar client solution available that can be plug in to any back end system. ( i.e. rich internet client )

    Read the article

  • store/load numpy array from binary files

    - by Javier
    Dear all, I would like to store and load numpy arrays from binary files. For that purposes, I created two small functions. Each binary file should contain the dimensionality of the given matrix. def saveArrayToFile(data, fileName): with open(fileName, 'w') as file: a = array.array('f') nSamples, ndim = data.shape a.extend([nSamples, ndim]) # write number of elements and dimensions a.fromstring(data.tostring()) a.tofile(file) def readArrayFromFile(fileName): _featDesc = np.fromfile(fileName, 'f') _ndesc = int(_featDesc[0]) _ndim = int(_featDesc[1]) _featDesc = _featDesc[2:] _featDesc = _featDesc.reshape([_ndesc, _ndim]) return _featDesc, _ndesc, _ndim An example on how to use the functions is: myarr=np.array([[7, 4],[3, 9],[1, 3]]) saveArrayToFile(myarr,'myfile.txt') _featDesc, _ndesc, _ndim = readArrayFromFile('myfile.txt') However, an error message of 'ValueError: total size of new array must be unchanged' is shown. My arrays can be of size MxN and MxM. Any suggestions are more than welcomed. I think the problem might be in the saveArrayToFile function. Best wishes, Javier

    Read the article

  • Django, making a page activate for a fixed time

    - by Hellnar
    Greetings I am hacking Django and trying to test something such as: Like woot.com , I want to sell "an item per day", so only one item will be available for that day (say the default www.mysite.com will be redirected to that item), Assume my urls for calling these items will be such: www.mysite.com/item/<number> my model for item: class Item(models.Model): item_name = models.CharField(max_length=30) price = models.FloatField() content = models.TextField() #keeps all the html content start_time = models.DateTimeField() end_time = models.DateTimeField() And my view for rendering this: def results(request, item_id): item = get_object_or_404(Item, pk=item_id) now = datetime.now() if item.start_time > now: #render and return some "not started yet" error templete elif item.end_time < now: #render and return some "item selling ended" error templete else: # render the real templete for selling this item What would be the efficient and clever model & templete for achieving this ?

    Read the article

  • [numpy] storing record arrays in object arrays

    - by Peter Prettenhofer
    I'd like to convert a list of record arrays -- dtype is (uint32, float32) -- into a numpy array of dtype np.object: X = np.array(instances, dtype = np.object) where instances is a list of arrays with data type np.dtype([('f0', '<u4'), ('f1', '<f4')]). However, the above statement results in an array whose elements are also of type np.object: X[0] array([(67111L, 1.0), (104242L, 1.0)], dtype=object) Does anybody know why? The following statement should be equivalent to the above but gives the desired result: X = np.empty((len(instances),), dtype = np.object) X[:] = instances X[0] array([(67111L, 1.0), (104242L, 1.0), dtype=[('f0', '<u4'), ('f1', '<f4')]) thanks & best regards, peter

    Read the article

  • Optimising RSS parsing on App Engine to avoid high CPU warnings

    - by Danny Tuppeny
    I'm pulling some RSS feeds into a datastore in App Engine to serve up to an iPhone app. I use cron to schedule updating the RSS every x minutes. Each task only parses one RSS feed (which has 15-20 items). I frequently get warnings about high CPU usage in the App Engine dashboard, so I'm looking for ways to optimise my code. Currently, I use minidom (since it's already there on App Engine), but I suspect it's not very efficient! Here's the code: dom = minidom.parseString(urlfetch.fetch(url).content) if dom: items = [] for node in dom.getElementsByTagName('item'): item = RssItem( key_name = self.getText(node.getElementsByTagName('guid')[0].childNodes), title = self.getText(node.getElementsByTagName('title')[0].childNodes), description = self.getText(node.getElementsByTagName('description')[0].childNodes), modified = datetime.now(), link = self.getText(node.getElementsByTagName('link')[0].childNodes), categories = [self.getText(category.childNodes) for category in node.getElementsByTagName('category')] ); items.append(item); db.put(items); def getText(self, nodelist): rc = '' for node in nodelist: if node.nodeType == node.TEXT_NODE: rc = rc + node.data return rc There isn't much going on, but the scripts often take 2-6 seconds CPU time, which seems a bit excessive for looping through 20ish items and reading a few attributes. What can I do to make this faster? Is there anything particularly bad in the above code, or should I change to another way of parsing? Are there are any libraries (that work on App Engine) that would be better, or would I be better parsing the RSS myself?

    Read the article

  • Using sub filters/queries in Google App Engine

    - by fredrik
    Hi, I'm trying to use figure out how to sub query a query that uses a filter. From what I've figured out so far while using .filter() it changes the original query, that leads to a second .filter() would also have to match the first filter. I would like to make something like this: modules = data.Modules.all().filter('page = ', page.key()) modules.filter('name = ', 'Test') modules.filter('name = ', 'Test2') I can't get the "Test2" filter to work. The only solution I have at the moment is to make all new queries. data.Modules.all().filter('page = ', page.key()).filter('name = ', "Test").get() data.Modules.all().filter('page = ', page.key()).filter('name = ', "Test2").get() Or write the same as an GQL. But for me it seams quite stupid way to go. I've looked at using ancestors, but I don't quite understand it and honestly don't know if that's the way to go. Any ideas? ..fredrik

    Read the article

  • Should we have a database independent SQL like query language in Django? [closed]

    - by Yugal Jindle
    Note : I know we have Django ORM already that keeps things database independent and converts to the database specific SQL queries. Once things starts getting complicated it is preferred to write raw SQL queries for better efficiency. When you write raw sql queries your code gets trapped with the database you are using. I also understand its important to use the full power of your database that can-not be achieved with the django orm alone. My Question : Until I use any database specific feature, why should one be trapped with the database. For instance : We have a query with multiple joins and we decided to write a raw sql query. Now, that makes my website postgres specific. Even when I have not used any postgres specific feature. I feel there should be some fake sql language which can translate to any database's sql query. Even Django's ORM can be built over it. So, that if you go out of ORM but not database specific - you can still remain database independent. I asked the same question to Jacob Kaplan Moss (In person) : He advised me to stay with the database that I like and endure its whole power, to which I agree. But my point was not that we should be database independent. My point is we should be database independent until we use a database specific feature. Please explain, why should be there a fake sql layer over the actual sql ?

    Read the article

  • find the colour name from a hexadecimal colour code

    - by sree01
    Hi , i want to find the name of a colour from the hexadecimal colour code. When i get a hex colour code i want to find the most matching colour name. for example for the code #c06040 , how to find out if it is a shade of brown, blue or yellow ?. so that i can find the colour of an object in the image without human intervention. Is there any relation between the hexadecimal code of the shades of a colour? please give some sample code if there is any.

    Read the article

  • How To Create Per-Request Singleton in Pylons?

    - by dave mankoff
    In our Pylons based web-app, we're creating a class that essentially provides some logging functionality. We need a new instance of this class for each http request that comes in, but only one per request. What is the proper way to go about this? Should we just create the object in middleware and store in in request.environ? Is there a more appropriate way to go about this?

    Read the article

< Previous Page | 335 336 337 338 339 340 341 342 343 344 345 346  | Next Page >