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  • When to use buildout:eggs and when to install via zc.recipe.egg ?

    - by chiggsy
    There seem to be more than one way to install eggs into a buildout. Way 1: [buildout] ... eggs = eggname othereggname ... Way 2: [buildout] ... parts = eggs [eggs] recipe = zc.recipe.egg eggs = eggname = othereggname Both ways work. ( variation on way 2 would be to install each requirement as a separate part. ) What is the difference between these 2 methods? For my projects, I'm using buildout with djangorecipe and mr.developer.

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  • Creating form using Generic_inlineformset_factory from the Model Form

    - by Prateek
    hello dear all, I wanted to create a edit form with the help of ModelForm. and my models contain a Generic relation b/w classes, so if any one could suggest me the view and a bit of template for the purpose I would be very thankful, as I am new to the language. My models look like:- class Employee(Person): nickname = models.CharField(_('nickname'), max_length=25, null=True, blank=True) blood_type = models.CharField(_('blood group'), max_length=3, null=True, blank=True, choices=BLOOD_TYPE_CHOICES) marital_status = models.CharField(_('marital status'), max_length=1, null=True, blank=True, choices=MARITAL_STATUS_CHOICES) nationality = CountryField(_('nationality'), default='IN', null=True, blank=True) about = models.TextField(_('about'), blank=True, null=True) dependent = models.ManyToManyField(Dependent, through='DependentRelationship') pan_card_number = models.CharField(_('PAN card number'), max_length=50, blank=True, null=True) policy_number = models.CharField(_('policy number'), max_length=50, null=True, blank=True) # code specific details user = models.OneToOneField(User, blank=True, null=True, verbose_name=_('user')) class Person(models.Model): """Person model""" title = models.CharField(_('title'), max_length=20, null=True, blank=True) first_name = models.CharField(_('first name'), max_length=100) middle_name = models.CharField(_('middle name'), max_length=100, null=True, blank=True) last_name = models.CharField(_('last name'), max_length=100, null=True, blank=True) suffix = models.CharField(_('suffix'), max_length=20, null=True, blank=True) slug = models.SlugField(_('slug'), max_length=50, unique=True) class PhoneNumber(models.Model) : phone_number = generic.GenericRelation('PhoneNumber') email_address = generic.GenericRelation('EmailAddress') address = generic.GenericRelation('Address') date_of_birth = models.DateField(_('date of birth'), null=True, blank=True) gender = models.CharField(_('gender'), max_length=1, null=True, blank=True, choices=GENDER_CHOICES) content_type = models.ForeignKey(ContentType, If anyone could suggest me a link or so. it would be a great help........

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  • Compound dictionary keys

    - by John Keyes
    I have a particular case where using compound dictionary keys would make a task easier. I have a working solution, but feel it is inelegant. How would you do it? context = { 'database': { 'port': 9990, 'users': ['number2', 'dr_evil'] }, 'admins': ['[email protected]', '[email protected]'], 'domain.name': 'virtucon.com' } def getitem(key, context): if hasattr(key, 'upper') and key in context: return context[key] keys = key if hasattr(key, 'pop') else key.split('.') k = keys.pop(0) if keys: try: return getitem(keys, context[k]) except KeyError, e: raise KeyError(key) if hasattr(context, 'count'): k = int(k) return context[k] if __name__ == "__main__": print getitem('database', context) print getitem('database.port', context) print getitem('database.users.0', context) print getitem('admins', context) print getitem('domain.name', context) try: getitem('database.nosuchkey', context) except KeyError, e: print "Error:", e Thanks.

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  • How should I rewrite my code to make it amenable to unittesting?

    - by justin
    I've been trying to get started with unit-testing while working on a little cli program. My program basically parses the command line arguments and options, and decides which function to call. Each of the functions performs some operation on a database. So, for instance, I might have a create function: def create(self, opts, args): #I've left out the error handling. strtime = datetime.datetime.now().strftime("%D %H:%M") vals = (strtime, opts.message, opts.keywords, False) self.execute("insert into mytable values (?, ?, ?, ?)", vals) self.commit() Should my test case call this function, then execute the select sql to check that the row was entered? That sounds reasonable, but also makes the tests more difficult to maintain. Would you rewrite the function to return something and check for the return value? Thanks

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  • Requires a valid Date or x-amz-date header?

    - by Jordan Messina
    I'm getting the following error when attempting to upload a file to S3: S3StorageError: <?xml version="1.0" encoding="UTF-8"?> <Error><Code>AccessDenied</Code><Message>AWS authentication requires a valid Date or x-amz-date header</Message><RequestId>7910FF83F3FE17E2</RequestId><HostId>EjycXTgSwUkx19YNkpAoY2UDDur/0d5SMvGJUicpN6qCZFa2OuqcpibIR3NJ2WKB</HostId></Error> I'm using Django with Django-Storages and Imagekit My S3 settings in my settings.py looks as follows: locale.setlocale(locale.LC_TIME, 'en_US') DEFAULT_FILE_STORAGE = 'backends.s3.S3Storage' AWS_ACCESS_KEY_ID = '************************' AWS_SECRET_ACCESS_KEY = '*****************************' AWS_STORAGE_BUCKET_NAME = 'static.blabla.com' AWS_HEADERS = { 'x-amz-date': datetime.datetime.utcnow().strftime('%a, %d %b %Y %H:%M:%S GMT'), 'Expires': 'Thu, 15 Apr 2200 20:00:00 GMT', } from S3 import CallingFormat AWS_CALLING_FORMAT = CallingFormat.SUBDOMAIN Thanks for any help you can give!

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  • Django stupid mark_safe?

    - by Mark
    I wrote this little function for writing out HTML tags: def html_tag(tag, content=None, close=True, attrs={}): lst = ['<',tag] for key, val in attrs.iteritems(): lst.append(' %s="%s"' % (key, escape_html(val))) if close: if content is None: lst.append(' />') else: lst.extend(['>', content, '</', tag, '>']) else: lst.append('>') return mark_safe(''.join(lst)) Which worked great, but then I read this article on efficient string concatenation (I know it doesn't really matter for this, but I wanted consistency) and decided to update my script: def html_tag(tag, body=None, close=True, attrs={}): s = StringIO() s.write('<%s'%tag) for key, val in attrs.iteritems(): s.write(' %s="%s"' % (key, escape_html(val))) if close: if body is None: s.write(' />') else: s.write('>%s</%s>' % (body, tag)) else: s.write('>') return mark_safe(s.getvalue()) But now my HTML get escaped when I try to render it from my template. Everything else is exactly the same. It works properly if I replace the last line with return mark_safe(unicode(s.getvalue())). I checked the return type of s.getvalue(). It should be a str, just like the first function, so why is this failing?? Also fails with SafeString(s.getvalue()) but succeeds with SafeUnicode(s.getvalue()). I'd also like to point out that I used return mark_safe(s.getvalue()) in a different function with no odd behavior.

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  • Parse http GET and POST parameters from BaseHTTPHandler?

    - by ataylor
    BaseHTTPHandler from the BaseHTTPServer module doesn't seem to provide any convenient way to access http request parameters. What is the best way to parse the GET parameters from the path, and the POST parameters from the request body? Right now, I'm using this for GET: def do_GET(self): parsed_path = urlparse.urlparse(self.path) try: params = dict([p.split('=') for p in parsed_path[4].split('&')]) except: params = {} This works for most cases, but I'd like something more robust that handles encodings and cases like empty parameters properly. Ideally, I'd like something small and standalone, rather than a full web framework.

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  • PyML 0.7.2 - How to prevent accuracy from dropping after stroing/loading a classifier?

    - by Michael Aaron Safyan
    This is a followup from "Save PyML.classifiers.multi.OneAgainstRest(SVM()) object?". The solution to that question was close, but not quite right, (the SparseDataSet is broken, so attempting to save/load with that dataset container type will fail, no matter what. Also, PyML is inconsistent in terms of whether labels should be numbers or strings... it turns out that the oneAgainstRest function is actually not good enough, because the labels need to be strings and simultaneously convertible to floats, because there are places where it is assumed to be a string and elsewhere converted to float) and so after a great deal of hacking and such I was finally able to figure out a way to save and load my multi-class classifier without it blowing up with an error.... however, although it is no longer giving me an error message, it is still not quite right as the accuracy of the classifier drops significantly when it is saved and then reloaded (so I'm still missing a piece of the puzzle). I am currently using the following custom mutli-class classifier for training, saving, and loading: class SVM(object): def __init__(self,features_or_filename,labels=None,kernel=None): if isinstance(features_or_filename,str): filename=features_or_filename; if labels!=None: raise ValueError,"Labels must be None if loading from a file."; with open(os.path.join(filename,"uniquelabels.list"),"rb") as uniquelabelsfile: self.uniquelabels=sorted(list(set(pickle.load(uniquelabelsfile)))); self.labeltoindex={}; for idx,label in enumerate(self.uniquelabels): self.labeltoindex[label]=idx; self.classifiers=[]; for classidx, classname in enumerate(self.uniquelabels): self.classifiers.append(PyML.classifiers.svm.loadSVM(os.path.join(filename,str(classname)+".pyml.svm"),datasetClass = PyML.VectorDataSet)); else: features=features_or_filename; if labels==None: raise ValueError,"Labels must not be None when training."; self.uniquelabels=sorted(list(set(labels))); self.labeltoindex={}; for idx,label in enumerate(self.uniquelabels): self.labeltoindex[label]=idx; points = [[float(xij) for xij in xi] for xi in features]; self.classifiers=[PyML.SVM(kernel) for label in self.uniquelabels]; for i in xrange(len(self.uniquelabels)): currentlabel=self.uniquelabels[i]; currentlabels=['+1' if k==currentlabel else '-1' for k in labels]; currentdataset=PyML.VectorDataSet(points,L=currentlabels,positiveClass='+1'); self.classifiers[i].train(currentdataset,saveSpace=False); def accuracy(self,pts,labels): logger=logging.getLogger("ml"); correct=0; total=0; classindexes=[self.labeltoindex[label] for label in labels]; h=self.hypotheses(pts); for idx in xrange(len(pts)): if h[idx]==classindexes[idx]: logger.info("RIGHT: Actual \"%s\" == Predicted \"%s\"" %(self.uniquelabels[ classindexes[idx] ], self.uniquelabels[ h[idx] ])); correct+=1; else: logger.info("WRONG: Actual \"%s\" != Predicted \"%s\"" %(self.uniquelabels[ classindexes[idx] ], self.uniquelabels[ h[idx] ])) total+=1; return float(correct)/float(total); def prediction(self,pt): h=self.hypothesis(pt); if h!=None: return self.uniquelabels[h]; return h; def predictions(self,pts): h=self.hypotheses(self,pts); return [self.uniquelabels[x] if x!=None else None for x in h]; def hypothesis(self,pt): bestvalue=None; bestclass=None; dataset=PyML.VectorDataSet([pt]); for classidx, classifier in enumerate(self.classifiers): val=classifier.decisionFunc(dataset,0); if (bestvalue==None) or (val>bestvalue): bestvalue=val; bestclass=classidx; return bestclass; def hypotheses(self,pts): bestvalues=[None for pt in pts]; bestclasses=[None for pt in pts]; dataset=PyML.VectorDataSet(pts); for classidx, classifier in enumerate(self.classifiers): for ptidx in xrange(len(pts)): val=classifier.decisionFunc(dataset,ptidx); if (bestvalues[ptidx]==None) or (val>bestvalues[ptidx]): bestvalues[ptidx]=val; bestclasses[ptidx]=classidx; return bestclasses; def save(self,filename): if not os.path.exists(filename): os.makedirs(filename); with open(os.path.join(filename,"uniquelabels.list"),"wb") as uniquelabelsfile: pickle.dump(self.uniquelabels,uniquelabelsfile,pickle.HIGHEST_PROTOCOL); for classidx, classname in enumerate(self.uniquelabels): self.classifiers[classidx].save(os.path.join(filename,str(classname)+".pyml.svm")); I am using the latest version of PyML (0.7.2, although PyML.__version__ is 0.7.0). When I construct the classifier with a training dataset, the reported accuracy is ~0.87. When I then save it and reload it, the accuracy is less than 0.001. So, there is something here that I am clearly not persisting correctly, although what that may be is completely non-obvious to me. Would you happen to know what that is?

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  • Can a CLSID be different for the same program installed on two different machines?

    - by uberjumper
    I am using comtypes to generate wrappers for a certain com library. I am having certain issues with a few things, that are not being generated properly. I can get around this by doing the missing work, manually. However can i depend on the fact that CLSID's will not change? Lets say: I install a program with the com library Foo 1.0, now i install the exact same version of that program on another PC, will the CLSID's of the interfaces change? This might be a terribly dumb question.

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  • Infrastructure for a "news-feed"

    - by ensnare
    I'd like to offer a news-feed like feature for users of our website. When the user logs in, he is shown a list of the latest updates across various areas of the site. I'm afraid that this is going to be difficult to scale. What are some networking / database topologies that can support a scalable infrastructure without having lots of copies of the same data? (I'd like to make it so if a piece of data is updated, each user's feed is also updated live). Thanks for the assistance and advice.

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  • How to return an image in an HTTP response with CherryPy

    - by colinmarc
    I have code which generates a Cairo ImageSurface, and I expose it like so: def preview(...): surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, width, height) ... cherrypy.response.headers['Content-Type'] = "image/png" return surface.get_data() preview.exposed = True This doesn't work (browsers report that the image has errors). I've tested that surface.write_to_png('test.png') works, but I'm not sure what to dump the data into to return it. I'm guessing some file-like object? According to the pycairo documentation, get_data() returns a buffer. I've also now tried: tempf = os.tmpfile() surface.write_to_png(tempf) return tempf Also, is it better to create and hold this image in memory (like I'm trying to do) or write it to disk as a temp file and serve it from there? I only need the image once, then it can be discarded.

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  • Start PyGTK cellrenderer edit from code

    - by mkotechno
    I have a treeview with an editable CellRendererText: self.renderer = gtk.CellRendererText() self.renderer.set_property('editable', True) But now I need to launch the edition from code instead from user, this is to focus the user attention in the fact he just created a new row and needs to be named. I tried this but does not work: self.renderer.start_editing( gtk.gdk.Event(gtk.gdk.NOTHING), self.treeview, str(index), gtk.gdk.Rectangle(), gtk.gdk.Rectangle(), 0) Neither does not throw errors, but the documentation about for what is each argument is not clear, in fact I really don't know if start_editing method is for this. All suggestions are welcome, thanks.

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  • Problem with eastern european characters when scraping data from the European Parliaments Website

    - by Thomas Jensen
    Dear Experts I am trying to scrape a lot of data from the European Parliament website for a research project. Ther first step is the create a list if all parliamentarians, however due to the many Eastern European names and the accents they use i get a lot of missing entries. Here is an example of what is giving me troubles (notice the accents at the end of the family name): ANDRIKIENE, Laima Liucija Group of the European People's Party (Christian Democrats) So far I have been using PyParser and the following code: parser_names name = Word(alphanums + alphas8bit) begin, end = map(Suppress, "<") names = begin + ZeroOrMore(name) + "," + ZeroOrMore(name) + end for name in names.searchString(page): print(name) However this does not catch the name from the html above. Any advice in how to proceed? Best, Thomas

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  • pyparsing ambiguity

    - by Claudiu
    I'm trying to parse some text using PyParser. The problem is that I have names that can contain white spaces. So my input might look like this: Joe Bob Jimmy Foo Joe decides to eat. Bob decides to not eat. Jimmy Foo decides to eat. How can I create a parser for the decides to eat line? If I create my name parser naively, meaning with alphabetic characters plus space characters, then it will match the entire line.

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  • How to map coordinates in AxesImage to coordinates in saved image file?

    - by Vebjorn Ljosa
    I use matplotlib to display a matrix of numbers as an image, attach labels along the axes, and save the plot to a PNG file. For the purpose of creating an HTML image map, I need to know the pixel coordinates in the PNG file for a region in the image being displayed by imshow. I have found an example of how to do this with a regular plot, but when I try to do the same with imshow, the mapping is not correct. Here is my code, which saves an image and attempts to print the pixel coordinates of the center of each square on the diagonal: import numpy as np import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_axes([0.1, 0.1, 0.8, 0.8]) axim = ax.imshow(np.random.random((27,27)), interpolation='nearest') for x, y in axim.get_transform().transform(zip(range(28), range(28))): print int(x), int(fig.get_figheight() * fig.get_dpi() - y) plt.savefig('foo.png', dpi=fig.get_dpi()) Here is the resulting foo.png, shown as a screenshot in order to include the rulers: The output of the script starts and ends as follows: 73 55 92 69 111 83 130 97 149 112 … 509 382 528 396 547 410 566 424 585 439 As you see, the y-coordinates are correct, but the x-coordinates are stretched: they range from 73 to 585 instead of the expected 135 to 506, and they are spaced 19 pixels o.c. instead of the expected 14. What am I doing wrong?

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  • Pythonic / itertools way to go through a dict?

    - by dmd
    def reportCSV(t): ret = '' for ev in t: for p in t[ev]: for w in t[ev][p]: ret += ','.join((ev, p, w, t[ev][p][w])) + '\n' return ret What is a more pythonic way to do this, e.g. using itertools or the like? In this case I'm just writing it out to a CSV file. t is a dict t[ev] is a dict t[ev][p] is a dict t[ev][p][w] is a float I'm not sure how I'd use itertools.product in this case.

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  • How to "signal" interested child processes (without signals)?

    - by Teddy
    I'm trying to find a good and simple method to signal child processes (created through SocketServer with ForkingMixIn) from the parent process. While Unix signals could be used, I want to avoid them since only children who are interested should receive the signal, and it would be overkill and complicated to require some kind of registration mechanism to identify to the parent process who is interested. (Please don't suggest threads, as this particular program won't work with threads, and thus has to use forks.)

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  • How do I create self-relationships in polymorphic inheritance in Elixir and Pylons?

    - by Turukawa
    I am new to programming and am following the example in the Pylons documentation on creating a Wiki. The database I want to link to the wiki was created with Elixir so I rewrote the Wiki database schema and have continued from there. In the wiki there is a requirement for a Navigation table which is inherited by Pages and Sections. A section can have many pages, while a page can only have one section. In addition, each sibling node can be chain-referenced to each other. So: Nav has "section" (OneToMany) and "before" (OneToOne - to reference preceeding node) Page has "section" (ManyToOne - many pages in one section) and inherits "before" Section inherits all from Nav The code I've written looks like this: class Nav(Entity): using_options(inheritance='multi') name = Field(Unicode(30), default=u'Untitled Node') path = Field(Unicode(255), default=u'') section = OneToMany('Page', inverse='section') after = OneToOne('Nav', inverse='before') before = OneToMany('Nav', inverse='after') class Page(Nav): using_options(inheritance='multi') content = Field(UnicodeText, nullable=False) posted = Field(DateTime, default=now()) title = Field(Unicode(255), default=u'Untitled Page') heading = Field(Unicode(255)) tags = ManyToMany('Tag') comments = OneToMany('Comment') section = ManyToOne('Nav', inverse='section') class Section(Nav): using_options(inheritance='multi') Errors received on this: sqlalchemy.exc.OperationalError: (OperationalError) table nav has no column named aftr_id u'INSERT INTO nav (name, path, aftr_id, row_type) VALUES (?, ?, ?, ?)' I've also tried: before = ManyToMany('Nav', inverse='before') on Nav in the hopes this might break the problem, but also not. The original SQLAlchemy code from the tutorial for these declarations is as follows: nav_table = schema.Table('nav', meta.metadata, schema.Column('id', types.Integer(), schema.Sequence('nav_id_seq', optional=True), primary_key=True), schema.Column('name', types.Unicode(255), default=u'Untitled Node'), schema.Column('path', types.Unicode(255), default=u''), schema.Column('section', types.Integer(), schema.ForeignKey('nav.id')), schema.Column('before', types.Integer(), default=None), schema.Column('type', types.String(30), nullable=False) ) page_table = schema.Table('page', meta.metadata, schema.Column('id', types.Integer, schema.ForeignKey('nav.id'), primary_key=True), schema.Column('content', types.Text(), nullable=False), schema.Column('posted', types.DateTime(), default=now), schema.Column('title', types.Unicode(255), default=u'Untitled Page'), schema.Column('heading', types.Unicode(255)), ) section_table = sa.Table('section', meta.metadata, schema.Column('id', types.Integer, schema.ForeignKey('nav.id'), primary_key=True), ) orm.mapper(Nav, nav_table, polymorphic_on=nav_table.c.type, polymorphic_identity='nav') orm.mapper(Section, section_table, inherits=Nav, polymorphic_identity='section') orm.mapper(Page, page_table, inherits=Nav, polymorphic_identity='page', properties={ 'comments':orm.relation(Comment, backref='page', cascade='all'), 'tags':orm.relation(Tag, secondary=pagetag_table) }) Any help is much appreciated.

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  • SQLAlchemy custom query column

    - by thrillerator
    I have a declarative table defined like this: class Transaction(Base): __tablename__ = "transactions" id = Column(Integer, primary_key=True) account_id = Column(Integer) transfer_account_id = Column(Integer) amount = Column(Numeric(12, 2)) ... The query should be: SELECT id, (CASE WHEN transfer_account_id=1 THEN -amount ELSE amount) AS amount FROM transactions WHERE account_id = 1 OR transfer_account_id = 1 My code is: query = Transaction.query.filter_by(account_id=1, transfer_account_id=1) query = query.add_column(func.case(...).label("amount") But it doesn't replace the amount column. Been trying to do this with for hours and I don't want to use raw SQL.

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  • Proper way to set object instance variables

    - by ensnare
    I'm writing a class to insert users into a database, and before I get too far in, I just want to make sure that my OO approach is clean: class User(object): def setName(self,name): #Do sanity checks on name self._name = name def setPassword(self,password): #Check password length > 6 characters #Encrypt to md5 self._password = password def commit(self): #Commit to database >>u = User() >>u.setName('Jason Martinez') >>u.setPassword('linebreak') >>u.commit() Is this the right approach? Should I declare class variables up top? Should I use a _ in front of all the class variables to make them private? Thanks for helping out.

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  • Map only certain parts of the class to a database using SQLAlchemy?

    - by Az
    When mapping an object using SQLAlchemy, is there a way to only map certain elements of a class to a database, or does it have to be a 1:1 mapping? Example: class User(object): def __init__(self, name, username, password, year_of_birth): self.name = name self.username = username self.password = password self.year_of_birth = year_of_birth Say, for whatever reason, I only wish to map the name, username and password to the database and leave out the year_of_birth. Is that possible and will this create problems? Edit - 25/03/2010 Additionally, say I want to map username and year_of_birth to a separate database. Will this database and the one above still be connected (via username)?

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  • Use the output of logs in the execution of a program

    - by myle
    When I try to create a specific object, the program crashes. However, I use a module (mechanize) which logs useful information just before the crash. If I had somehow this information available I could avoid it. Is there any way to use the information which is logged (when I use the function set_debug_redirects) during the normal execution of the program? Just to be a bit more specific, I try to emulate the login behavior in a webpage. The program crashes because it can't handle a specific Following HTTP-EQUIV=REFRESH to <omitted_url>. Given this url, which is available in the logs but not as part of the exception which is thrown, I could visit this page and complete successfully the login process. Any other suggestions that may solve the problem are welcomed. It follows the code so far. SERVICE_LOGIN_BOX_URL = "https://www.google.com/accounts/ServiceLoginBox?service=adsense&ltmpl=login&ifr=true&rm=hide&fpui=3&nui=15&alwf=true&passive=true&continue=https%3A%2F%2Fwww.google.com%2Fadsense%2Flogin-box-gaiaauth&followup=https%3A%2F%2Fwww.google.com%2Fadsense%2Flogin-box-gaiaauth&hl=en_US" def init_browser(): # Browser br = mechanize.Browser() # Cookie Jar cj = cookielib.LWPCookieJar() br.set_cookiejar(cj) # Browser options br.set_handle_equiv(True) br.set_handle_gzip(False) br.set_handle_redirect(True) br.set_handle_referer(True) br.set_handle_robots(True) br.set_handle_refresh(mechanize._http.HTTPRefreshProcessor(), max_time=30.0, honor_time=False) # Want debugging messages? #br.set_debug_http(True) br.set_debug_redirects(True) #br.set_debug_responses(True) return br def adsense_login(login, password): br = init_browser() r = br.open(SERVICE_LOGIN_BOX_URL) html = r.read() # Select the first (index zero) form br.select_form(nr=0) br.form['Email'] = login br.form['Passwd'] = password br.submit() req = br.click_link(text='click here to continue') try: # this is where it crashes br.open(req) except HTTPError, e: sys.exit("post failed: %d: %s" % (e.code, e.msg)) return br

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  • TypeError: unbound method make_request() must be called with XX instance, but how?

    - by Dave
    Running the code below I get E TypeError: unbound method make_request() must be called with A instance as first argument (got str instance instead) I dont want to set make_request method as static, I want to call it from an instance of an object. The example http://pytest.org/latest/fixture.html#fixture-function # content of ./test_smtpsimple.py import pytest @pytest.fixture def smtp(): import smtplib return smtplib.SMTP("merlinux.eu") def test_ehlo(smtp): response, msg = smtp.ehlo() assert response == 250 assert "merlinux" in msg assert 0 # for demo purposes My code """ """ import pytest class A(object): """ """ def __init__(self, name ): """ """ self._prop1 = [name] @property def prop1(self): return self._prop1 @prop1.setter def prop1(self, arguments): self._prop1 = arguments def make_request(self, sex): return 'result' def __call__(self): return self @pytest.fixture() def myfixture(): """ """ A('BigDave') return A def test_validateA(myfixture): result = myfixture.make_request('male') assert result =='result'

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