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  • create a class attribute without going through __setattr__

    - by eric.frederich
    Hello, What I have below is a class I made to easily store a bunch of data as attributes. They wind up getting stored in a dictionary. I override __getattr__ and __setattr__ to store and retrieve the values back in different types of units. When I started overriding __setattr__ I was having trouble creating that initial dicionary in the 2nd line of __init__ like so... super(MyDataFile, self).__setattr__('_data', {}) My question... Is there an easier way to create a class level attribute with going through __setattr__? Also, should I be concerned about keeping a separate dictionary or should I just store everything in self.__dict__? #!/usr/bin/env python from unitconverter import convert import re special_attribute_re = re.compile(r'(.+)__(.+)') class MyDataFile(object): def __init__(self, *args, **kwargs): super(MyDataFile, self).__init__(*args, **kwargs) super(MyDataFile, self).__setattr__('_data', {}) # # For attribute type access # def __setattr__(self, name, value): self._data[name] = value def __getattr__(self, name): if name in self._data: return self._data[name] match = special_attribute_re.match(name) if match: varname, units = match.groups() if varname in self._data: return self.getvaras(varname, units) raise AttributeError # # other methods # def getvaras(self, name, units): from_val, from_units = self._data[name] if from_units == units: return from_val return convert(from_val, from_units, units), units def __str__(self): return str(self._data) d = MyDataFile() print d # set like a dictionary or an attribute d.XYZ = 12.34, 'in' d.ABC = 76.54, 'ft' # get it back like a dictionary or an attribute print d.XYZ print d.ABC # get conversions using getvaras or using a specially formed attribute print d.getvaras('ABC', 'cm') print d.XYZ__mm

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  • How do I call setattr() on the current module?

    - by Matt Joiner
    What do I pass as the first parameter "object" to the function setattr(object, name, value), to set variables on the current module? For example: setattr(object, "SOME_CONSTANT", 42); giving the same effect as: SOME_CONSTANT = 42 within the module containing these lines (with the correct object). I'm generate several values at the module level dynamically, and as I can't define __getattr__ at the module level, this is my fallback.

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  • IronPython overriding __setattr__ and __getattr__

    - by yodaj007
    I'm trying to implement a class in C# with a method that intercepts the Python __setattr__ and __getattr__ magic methods. I found this bug report: http://ironpython.codeplex.com/WorkItem/View.aspx?WorkItemId=8143 But that is from 2008, and nowhere can I find ICustomAttributes or PythonNameAttribute. I don't see anything useful in Interfaces.cs either. Can someone point me in the right direction?

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  • Python __setattr__ and __getattr__ for global scope?

    - by KT
    Suppose I need to create my own small DSL that would use Python to describe a certain data structure. E.g. I'd like to be able to write something like f(x) = some_stuff(a,b,c) and have Python, instead of complaining about undeclared identifiers or attempting to invoke the function some_stuff, convert it to a literal expression for my further convenience. It is possible to get a reasonable approximation to this by creating a class with properly redefined __getattr__ and __setattr__ methods and use it as follows: e = Expression() e.f[e.x] = e.some_stuff(e.a, e.b, e.c) It would be cool though, if it were possible to get rid of the annoying "e." prefixes and maybe even avoid the use of []. So I was wondering, is it possible to somehow temporarily "redefine" global name lookups and assignments? On a related note, maybe there are good packages for easily achieving such "quoting" functionality for Python expressions?

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  • Why don't these class attributes register?

    - by slypete
    I have a factory method that generates django form classes like so: def get_indicator_form(indicator, patient): class IndicatorForm(forms.Form): #These don't work! indicator_id = forms.IntegerField(initial=indicator.id, widget=forms.HiddenInput()) patient_id = forms.IntegerField(initial=patient.id, widget=forms.HiddenInput()) def __init__(self, *args, **kwargs): forms.Form.__init__(self, *args, **kwargs) self.indicator = indicator self.patient = patient #These do! setattr(IndicatorForm, 'indicator_id', forms.IntegerField(initial=indicator.id, widget=forms.HiddenInput())) setattr(IndicatorForm, 'patient_id', forms.IntegerField(initial=patient.id, widget=forms.HiddenInput())) for field in indicator.indicatorfield_set.all(): setattr(IndicatorForm, field.name, copy(field.get_field_type())) return type('IndicatorForm', (forms.Form,), dict(IndicatorForm.__dict__)) I'm trying to understand why the top form field declarations don't work, but the setattr method below does work. I'm fairly new to python, so I suspect it's some language feature that I'm misunderstanding. Can you help me understand why the field declarations at the top of the class don't add the fields to the class? In a possibly related note, when these classes are instantiated, instance.media returns nothing even though some fields have widgets with associated media. Thanks, Pete

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  • How do you get SQLAlchemy to override MySQL "on update CURRENT_TIMESTAMP"

    - by nocola
    I've inherited an older database that was setup with a "on update CURRENT_TIMESTAMP" put on a field that should only describe an item's creation. With PHP I have been using "timestamp=timestamp" on UPDATE clauses, but in SQLAlchemy I can't seem to force the system to use the set timestamp. Do I have no choice and need to update the MySQL table (millions of rows)? foo = session.query(f).get(int(1)) ts = foo.timestamp setattr(foo, 'timestamp', ts) setattr(foo, 'bar', bar) www_model.www_Session.commit() I have also tried: foo = session.query(f).get(int(1)) setattr(foo, 'timestamp', foo.timestamp) setattr(foo, 'bar', bar) www_model.www_Session.commit()

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  • Python "callable" attribute (pseudo-property)

    - by mgilson
    In python, I can alter the state of an instance by directly assigning to attributes, or by making method calls which alter the state of the attributes: foo.thing = 'baz' or: foo.thing('baz') Is there a nice way to create a class which would accept both of the above forms which scales to large numbers of attributes that behave this way? (Shortly, I'll show an example of an implementation that I don't particularly like.) If you're thinking that this is a stupid API, let me know, but perhaps a more concrete example is in order. Say I have a Document class. Document could have an attribute title. However, title may want to have some state as well (font,fontsize,justification,...), but the average user might be happy enough just setting the title to a string and being done with it ... One way to accomplish this would be to: class Title(object): def __init__(self,text,font='times',size=12): self.text = text self.font = font self.size = size def __call__(self,*text,**kwargs): if(text): self.text = text[0] for k,v in kwargs.items(): setattr(self,k,v) def __str__(self): return '<title font={font}, size={size}>{text}</title>'.format(text=self.text,size=self.size,font=self.font) class Document(object): _special_attr = set(['title']) def __setattr__(self,k,v): if k in self._special_attr and hasattr(self,k): getattr(self,k)(v) else: object.__setattr__(self,k,v) def __init__(self,text="",title=""): self.title = Title(title) self.text = text def __str__(self): return str(self.title)+'<body>'+self.text+'</body>' Now I can use this as follows: doc = Document() doc.title = "Hello World" print (str(doc)) doc.title("Goodbye World",font="Helvetica") print (str(doc)) This implementation seems a little messy though (with __special_attr). Maybe that's because this is a messed up API. I'm not sure. Is there a better way to do this? Or did I leave the beaten path a little too far on this one? I realize I could use @property for this as well, but that wouldn't scale well at all if I had more than just one attribute which is to behave this way -- I'd need to write a getter and setter for each, yuck.

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  • SELinux adding new allowed samba type to access httpd_sys_content_t?

    - by Josh
    allow samba_share_t httpd_sys_content_t {read execute getattr setattr write}; allow smbd_t httpd_sys_content_t {read execute getattr setattr write}; I am taking a stab in the dark with resources I've looked at, at various places that the above policies are what I want. I basically want to allow Samba to write to my web docs without giving it free access to the operating system. I read a post by a NSA rep saying the best way was defining a new type and allowing both samba and httpd access. Setting the content to public content (public_content_rw_t) does not work without making use of some unrestrictive booleans. To state this in short, how do I allow samba to access a new type?

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  • getting last insert id .sqlalchemy orm

    - by gummmibear
    Hi i use sqlalchemy, i need some help. import hashlib import sqlalchemy as sa from sqlalchemy import orm from allsun.model import meta t_user = sa.Table("users",meta.metadata,autoload=True) class Duplicat(Exception): pass class LoginExistsException(Exception): pass class EmailExistsException(Exception): pass class User(object): """ def __setattr__(self, key, value): if key=='password' : value=unicode(hashlib.sha512(value).hexdigset()) object.__setattr__(self,key,value) """ def loginExists(self): try: meta.Session.query(User).filter(User.login==self.login).one() except orm.exc.NoResultFound: pass else: raise LoginExistsException() def emailExists(self): try: meta.Session.query(User).filter(User.email==self.email).one() except orm.exc.NoResultFound: pass else: raise EmailExistsException() def save(self): meta.Session.begin() meta.Session.save(self) try: meta.Session.commit() except sa.exc.IntegrityError: raise Duplicat() How can i get inserted id when i call? user = User() user.login = request.params['login'] user.password = hashlib.sha512(request.params['password']).hexdigest() user.email = request.params['email'] user.save()

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  • Dynamic/runtime method creation (code generation) in Python

    - by Eli Bendersky
    Hello, I need to generate code for a method at runtime. It's important to be able to run arbitrary code and have a docstring. I came up with a solution combining exec and setattr, here's a dummy example: class Viking(object): def __init__(self): code = ''' def dynamo(self, arg): """ dynamo's a dynamic method! """ self.weight += 1 return arg * self.weight ''' self.weight = 50 d = {} exec code.strip() in d setattr(self.__class__, 'dynamo', d['dynamo']) if __name__ == "__main__": v = Viking() print v.dynamo(10) print v.dynamo(10) print v.dynamo.__doc__ Is there a better / safer / more idiomatic way of achieving the same result?

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  • how to show all method and data when the object not has "__iter__" function in python..

    - by zjm1126
    i find a way : (1):the dir(object) is : a="['__class__', '__contains__', '__delattr__', '__delitem__', '__dict__', '__doc__', '__getattribute__', '__getitem__', '__hash__', '__init__', '__iter__', '__metaclass__', '__module__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__setitem__', '__str__', '__weakref__', '_errors', '_fields', '_prefix', '_unbound_fields', 'confirm', 'data', 'email', 'errors', 'password', 'populate_obj', 'process', 'username', 'validate']" (2): b=eval(a) (3)and it became a list of all method : ['__class__', '__contains__', '__delattr__', '__delitem__', '__dict__', '__doc__', '__getattribute__', '__getitem__', '__hash__', '__init__', '__iter__', '__metaclass__', '__module__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__setitem__', '__str__', '__weakref__', '_errors', '_fields', '_prefix', '_unbound_fields', 'confirm', 'data', 'email', 'errors', 'password', 'populate_obj', 'process', 'username', 'validate'] (3)then show the object's method,and all code is : s='' a=eval(str(dir(object))) for i in a: s+=str(i)+':'+str(object[i]) print s but it show error : KeyError: '__class__' so how to make my code running . thanks

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  • Python metaprogramming help

    - by Timmy
    im looking into mongoengine, and i wanted to make a class an "EmbeddedDocument" dynamically, so i do this def custom(cls): cls = type( cls.__name__, (EmbeddedDocument,), cls.__dict__.copy() ) cls.a = FloatField(required=True) cls.b = FloatField(required=True) return cls A = custom( A ) and tried it on some classes, but its not doing some of the base class's init or sumthing in BaseDocument def __init__(self, **values): self._data = {} # Assign initial values to instance for attr_name, attr_value in self._fields.items(): if attr_name in values: setattr(self, attr_name, values.pop(attr_name)) else: # Use default value if present value = getattr(self, attr_name, None) setattr(self, attr_name, value) but this never gets used, thus never setting ._data, and giving me errors. how do i do this?

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  • Python metaclass for enforcing immutability of custom types

    - by Mark Lehmacher
    Having searched for a way to enforce immutability of custom types and not having found a satisfactory answer I came up with my own shot at a solution in form of a metaclass: class ImmutableTypeException( Exception ): pass class Immutable( type ): ''' Enforce some aspects of the immutability contract for new-style classes: - attributes must not be created, modified or deleted after object construction - immutable types must implement __eq__ and __hash__ ''' def __new__( meta, classname, bases, classDict ): instance = type.__new__( meta, classname, bases, classDict ) # Make sure __eq__ and __hash__ have been implemented by the immutable type. # In the case of __hash__ also make sure the object default implementation has been overridden. # TODO: the check for eq and hash functions could probably be done more directly and thus more efficiently # (hasattr does not seem to traverse the type hierarchy) if not '__eq__' in dir( instance ): raise ImmutableTypeException( 'Immutable types must implement __eq__.' ) if not '__hash__' in dir( instance ): raise ImmutableTypeException( 'Immutable types must implement __hash__.' ) if _methodFromObjectType( instance.__hash__ ): raise ImmutableTypeException( 'Immutable types must override object.__hash__.' ) instance.__setattr__ = _setattr instance.__delattr__ = _delattr return instance def __call__( self, *args, **kwargs ): obj = type.__call__( self, *args, **kwargs ) obj.__immutable__ = True return obj def _setattr( self, attr, value ): if '__immutable__' in self.__dict__ and self.__immutable__: raise AttributeError( "'%s' must not be modified because '%s' is immutable" % ( attr, self ) ) object.__setattr__( self, attr, value ) def _delattr( self, attr ): raise AttributeError( "'%s' must not be deleted because '%s' is immutable" % ( attr, self ) ) def _methodFromObjectType( method ): ''' Return True if the given method has been defined by object, False otherwise. ''' try: # TODO: Are we exploiting an implementation detail here? Find better solution! return isinstance( method.__objclass__, object ) except: return False However, while the general approach seems to be working rather well there are still some iffy implementation details (also see TODO comments in code): How do I check if a particular method has been implemented anywhere in the type hierarchy? How do I check which type is the origin of a method declaration (i.e. as part of which type a method has been defined)?

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  • PyQt4.QtWebKit.QWebFrame missing findAllElements() method on debian

    - by user249095
    I recompiled PyQt4 from source, but the issue still exists. On another ArchLinux system, it works well. Can someone help me? Thanks! on Debian: import PyQt4.QtWebKit dir(PyQt4.QtWebKit.QWebFrame.findAllElements) Traceback (most recent call last): File "", line 1, in AttributeError: type object 'QWebFrame' has no attribute 'findAllElements' on ArchLinux: import PyQt4.QtWebKit dir(PyQt4.QtWebKit.QWebFrame.findAllElements) ['__call__', '__class__', '__cmp__', '__delattr__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__le__', '__lt__', '__module__', '__name__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__self__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__']

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  • When to use Python special methods?

    - by bodacydo
    I know that classes can implement various special methods, such as __iter__, __setitem__, __len__, __setattr__, and many others. But when should I use them? Can anyone describe typical scenarios when I would want to implement them and they would simplify programming in Python? Thanks, Boda Cydo.

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  • Can I create class properties during __new__ or __init__?

    - by 007brendan
    I want to do something like this. The _print_attr function is designed to be called lazily, so I don't want to evaluate it in the init and set the value to attr. I would like to make attr a property that computes _print_attr only when accessed: class Base(object): def __init__(self): for attr in self._edl_uniform_attrs: setattr(self, attr, property(lambda self: self._print_attr(attr))) def _print_attr(self, attr): print attr class Child(Base): _edl_uniform_attrs = ['foo', 'bar'] me = Child() me.foo me.bar #output: #"foo" #"bar"

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  • CentOS - Configuring Puppet to play nice with SELinux

    - by Mike Purcell
    I am running into an issue every time I attempt to start the puppetmasterd service, for which I receive the following error message: root@service1 ~ # -> /etc/init.d/puppetmaster start Starting puppetmaster: Could not prepare for execution: Got 1 failure(s) while initializing: change from absent to directory failed: Could not set 'directory on ensure: Permission denied - /etc/puppet/ssl [FAILED] Apparently there was a known issue with this scenario as outlined in this bug report, however in the bug report it states the issue has been resolved in selinux-policy-3.9.16-29.fc15, but the latest CentOS default upstream version is 3.7.19-155.el6_3.4. So I am trying to figure out the best solution. I can either create a local security policy to allow puppetmasterd the access it needs, or keep researching and install a newer version of selinux-policy outside of the default upstream channel. Anyone have any recommendations? Please don't recommend disabling SELinux... ----- Update ----- Here is the puppet.conf: [main] # The Puppet log directory. # The default value is '$vardir/log'. logdir = /var/log/puppet # Where Puppet PID files are kept. # The default value is '$vardir/run'. rundir = /var/run/puppet # Where SSL certificates are kept. # The default value is '$confdir/ssl'. ssldir = $vardir/ssl [master] certname=puppetmaster.ownij.lan dns_alt_names=puppetmaster.ownij.lan [agent] # The file in which puppetd stores a list of the classes # associated with the retrieved configuratiion. Can be loaded in # the separate ``puppet`` executable using the ``--loadclasses`` # option. # The default value is '$confdir/classes.txt'. classfile = $vardir/classes.txt # Where puppetd caches the local configuration. An # extension indicating the cache format is added automatically. # The default value is '$confdir/localconfig'. localconfig = $vardir/localconfig server=puppetmaster.ownij.lan And here are the denials per the audit log: type=AVC msg=audit(1349751364.985:666): avc: denied { search } for pid=15093 comm="puppetmasterd" name="/" dev=dm-2 ino=2 scontext=unconfined_u:system_r:puppetmaster_t:s0 tcontext=system_u:object_r:home_root_t:s0 tclass=dir type=SYSCALL msg=audit(1349751364.985:666): arch=c000003e syscall=4 success=no exit=-13 a0=1391420 a1=7fffef09ed10 a2=7fffef09ed10 a3=120c500 items=0 ppid=15092 pid=15093 auid=500 uid=0 gid=0 euid=0 suid=0 fsuid=0 egid=0 sgid=0 fsgid=0 tty=pts1 ses=13 comm="puppetmasterd" exe="/usr/bin/ruby" subj=unconfined_u:system_r:puppetmaster_t:s0 key=(null) type=AVC msg=audit(1349751365.302:667): avc: denied { search } for pid=15093 comm="puppetmasterd" name="/" dev=dm-2 ino=2 scontext=unconfined_u:system_r:puppetmaster_t:s0 tcontext=system_u:object_r:home_root_t:s0 tclass=dir type=SYSCALL msg=audit(1349751365.302:667): arch=c000003e syscall=4 success=no exit=-13 a0=1d18530 a1=7fffef0d04d0 a2=7fffef0d04d0 a3=8 items=0 ppid=15092 pid=15093 auid=500 uid=0 gid=0 euid=0 suid=0 fsuid=0 egid=0 sgid=0 fsgid=0 tty=pts1 ses=13 comm="puppetmasterd" exe="/usr/bin/ruby" subj=unconfined_u:system_r:puppetmaster_t:s0 key=(null) type=AVC msg=audit(1349751365.465:668): avc: denied { search } for pid=15093 comm="puppetmasterd" name="/" dev=dm-2 ino=2 scontext=unconfined_u:system_r:puppetmaster_t:s0 tcontext=system_u:object_r:home_root_t:s0 tclass=dir type=SYSCALL msg=audit(1349751365.465:668): arch=c000003e syscall=4 success=no exit=-13 a0=1af3930 a1=7fffef0c5c70 a2=7fffef0c5c70 a3=8 items=0 ppid=15092 pid=15093 auid=500 uid=0 gid=0 euid=0 suid=0 fsuid=0 egid=0 sgid=0 fsgid=0 tty=pts1 ses=13 comm="puppetmasterd" exe="/usr/bin/ruby" subj=unconfined_u:system_r:puppetmaster_t:s0 key=(null) type=AVC msg=audit(1349751365.467:669): avc: denied { search } for pid=15093 comm="puppetmasterd" name="/" dev=dm-2 ino=2 scontext=unconfined_u:system_r:puppetmaster_t:s0 tcontext=system_u:object_r:home_root_t:s0 tclass=dir type=SYSCALL msg=audit(1349751365.467:669): arch=c000003e syscall=4 success=no exit=-13 a0=1b17aa0 a1=7fffef0c5c70 a2=7fffef0c5c70 a3=8 items=0 ppid=15092 pid=15093 auid=500 uid=0 gid=0 euid=0 suid=0 fsuid=0 egid=0 sgid=0 fsgid=0 tty=pts1 ses=13 comm="puppetmasterd" exe="/usr/bin/ruby" subj=unconfined_u:system_r:puppetmaster_t:s0 key=(null) type=AVC msg=audit(1349751366.401:670): avc: denied { write } for pid=15093 comm="puppetmasterd" name="puppet" dev=dm-0 ino=132035 scontext=unconfined_u:system_r:puppetmaster_t:s0 tcontext=system_u:object_r:puppet_etc_t:s0 tclass=dir type=SYSCALL msg=audit(1349751366.401:670): arch=c000003e syscall=83 success=no exit=-13 a0=2d7a400 a1=1f9 a2=2d7a40f a3=7fffef0a6df0 items=0 ppid=15092 pid=15093 auid=500 uid=0 gid=0 euid=0 suid=0 fsuid=0 egid=0 sgid=0 fsgid=0 tty=pts1 ses=13 comm="puppetmasterd" exe="/usr/bin/ruby" subj=unconfined_u:system_r:puppetmaster_t:s0 key=(null) And the audit log if I pass through audit2allow: root@service1 ~ # -> fgrep puppetmasterd /var/log/audit/audit.log | audit2allow -m puppetmasterd module puppetmasterd 1.0; require { type home_root_t; type puppetmaster_t; type puppet_etc_t; type puppet_var_run_t; type httpd_sys_content_t; class lnk_file { relabelfrom relabelto }; class file { relabelfrom read getattr open }; class dir { write read search getattr setattr }; } #============= puppetmaster_t ============== allow puppetmaster_t home_root_t:dir { search getattr }; allow puppetmaster_t httpd_sys_content_t:dir read; allow puppetmaster_t httpd_sys_content_t:file { read getattr open }; #!!!! The source type 'puppetmaster_t' can write to a 'dir' of the following types: # puppet_log_t, puppet_var_lib_t, puppet_var_run_t, puppetmaster_tmp_t allow puppetmaster_t puppet_etc_t:dir { write setattr }; allow puppetmaster_t puppet_etc_t:lnk_file { relabelfrom relabelto }; allow puppetmaster_t puppet_var_run_t:file relabelfrom;

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  • Generate unique hashes for django models

    - by becomingGuru
    I want to use unique hashes for each model rather than ids. I implemented the following function to use it across the board easily. import random,hashlib from base64 import urlsafe_b64encode def set_unique_random_value(model_object,field_name='hash_uuid',length=5,use_sha=True,urlencode=False): while 1: uuid_number = str(random.random())[2:] uuid = hashlib.sha256(uuid_number).hexdigest() if use_sha else uuid_number uuid = uuid[:length] if urlencode: uuid = urlsafe_b64encode(uuid)[:-1] hash_id_dict = {field_name:uuid} try: model_object.__class__.objects.get(**hash_id_dict) except model_object.__class__.DoesNotExist: setattr(model_object,field_name,uuid) return I'm seeking feedback, how else could I do it? How can I improve it? What is good bad and ugly about it?

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  • add methods in subclasses within the super class constructor

    - by deamon
    I want to add methods (more specifically: method aliases) automatically to Python subclasses. If the subclass defines a method named 'get' I want to add a method alias 'GET' to the dictionary of the subclass. To not repeat myself I'd like to define this modifation routine in the base class. But if I check in the base class init method, there is no such method, since it is defined in the subclass. It will become more clear with some source code: class Base: def __init__(self): if hasattr(self, "get"): setattr(self, "GET", self.get) class Sub(Base): def get(): pass print(dir(Sub)) Output: ['__doc__', '__init__', '__module__', 'get'] It should also contain 'GET'. Is there a way to do it within the base class?

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  • Python Vector Class

    - by sfjedi
    I'm coming from a C# background where this stuff is super easy—trying to translate into Python for Maya. There's gotta' be a better way to do this. Basically, I'm looking to create a Vector class that will simply have x, y and z coordinates, but it would be ideal if this class returned a tuple with all 3 coordinates and if you could edit the values of this tuple through x, y and z properties, somehow. This is what I have so far, but there must be a better way to do this than using an exec statement, right? I hate using exec statements. class Vector(object): '''Creates a Maya vector/triple, having x, y and z coordinates as float values''' def __init__(self, x=0, y=0, z=0): self.x, self.y, self.z = x, y, z def attrsetter(attr): def set_float(self, value): setattr(self, attr, float(value)) return set_float for xyz in 'xyz': exec("%s = property(fget=attrgetter('_%s'), fset=attrsetter('_%s'))" % (xyz, xyz, xyz))

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  • Python - Converting CSV to Objects - Code Design

    - by victorhooi
    Hi, I have a small script we're using to read in a CSV file containing employees, and perform some basic manipulations on that data. We read in the data (import_gd_dump), and create an Employees object, containing a list of Employee objects (maybe I should think of a better naming convention...lol). We then call clean_all_phone_numbers() on Employees, which calls clean_phone_number() on each Employee, as well as lookup_all_supervisors(), on Employees. import csv import re import sys #class CSVLoader: # """Virtual class to assist with loading in CSV files.""" # def import_gd_dump(self, input_file='Gp Directory 20100331 original.csv'): # gd_extract = csv.DictReader(open(input_file), dialect='excel') # employees = [] # for row in gd_extract: # curr_employee = Employee(row) # employees.append(curr_employee) # return employees # #self.employees = {row['dbdirid']:row for row in gd_extract} # Previously, this was inside a (virtual) class called "CSVLoader". # However, according to here (http://tomayko.com/writings/the-static-method-thing) - the idiomatic way of doing this in Python is not with a class-fucntion but with a module-level function def import_gd_dump(input_file='Gp Directory 20100331 original.csv'): """Return a list ('employee') of dict objects, taken from a Group Directory CSV file.""" gd_extract = csv.DictReader(open(input_file), dialect='excel') employees = [] for row in gd_extract: employees.append(row) return employees def write_gd_formatted(employees_dict, output_file="gd_formatted.csv"): """Read in an Employees() object, and write out each Employee() inside this to a CSV file""" gd_output_fieldnames = ('hrid', 'mail', 'givenName', 'sn', 'dbcostcenter', 'dbdirid', 'hrreportsto', 'PHFull', 'PHFull_message', 'SupervisorEmail', 'SupervisorFirstName', 'SupervisorSurname') try: gd_formatted = csv.DictWriter(open(output_file, 'w', newline=''), fieldnames=gd_output_fieldnames, extrasaction='ignore', dialect='excel') except IOError: print('Unable to open file, IO error (Is it locked?)') sys.exit(1) headers = {n:n for n in gd_output_fieldnames} gd_formatted.writerow(headers) for employee in employees_dict.employee_list: # We're using the employee object's inbuilt __dict__ attribute - hmm, is this good practice? gd_formatted.writerow(employee.__dict__) class Employee: """An Employee in the system, with employee attributes (name, email, cost-centre etc.)""" def __init__(self, employee_attributes): """We use the Employee constructor to convert a dictionary into instance attributes.""" for k, v in employee_attributes.items(): setattr(self, k, v) def clean_phone_number(self): """Perform some rudimentary checks and corrections, to make sure numbers are in the right format. Numbers should be in the form 0XYYYYYYYY, where X is the area code, and Y is the local number.""" if self.telephoneNumber is None or self.telephoneNumber == '': return '', 'Missing phone number.' else: standard_format = re.compile(r'^\+(?P<intl_prefix>\d{2})\((?P<area_code>\d)\)(?P<local_first_half>\d{4})-(?P<local_second_half>\d{4})') extra_zero = re.compile(r'^\+(?P<intl_prefix>\d{2})\(0(?P<area_code>\d)\)(?P<local_first_half>\d{4})-(?P<local_second_half>\d{4})') missing_hyphen = re.compile(r'^\+(?P<intl_prefix>\d{2})\(0(?P<area_code>\d)\)(?P<local_first_half>\d{4})(?P<local_second_half>\d{4})') if standard_format.search(self.telephoneNumber): result = standard_format.search(self.telephoneNumber) return '0' + result.group('area_code') + result.group('local_first_half') + result.group('local_second_half'), '' elif extra_zero.search(self.telephoneNumber): result = extra_zero.search(self.telephoneNumber) return '0' + result.group('area_code') + result.group('local_first_half') + result.group('local_second_half'), 'Extra zero in area code - ask user to remediate. ' elif missing_hyphen.search(self.telephoneNumber): result = missing_hyphen.search(self.telephoneNumber) return '0' + result.group('area_code') + result.group('local_first_half') + result.group('local_second_half'), 'Missing hyphen in local component - ask user to remediate. ' else: return '', "Number didn't match recognised format. Original text is: " + self.telephoneNumber class Employees: def __init__(self, import_list): self.employee_list = [] for employee in import_list: self.employee_list.append(Employee(employee)) def clean_all_phone_numbers(self): for employee in self.employee_list: #Should we just set this directly in Employee.clean_phone_number() instead? employee.PHFull, employee.PHFull_message = employee.clean_phone_number() # Hmm, the search is O(n^2) - there's probably a better way of doing this search? def lookup_all_supervisors(self): for employee in self.employee_list: if employee.hrreportsto is not None and employee.hrreportsto != '': for supervisor in self.employee_list: if supervisor.hrid == employee.hrreportsto: (employee.SupervisorEmail, employee.SupervisorFirstName, employee.SupervisorSurname) = supervisor.mail, supervisor.givenName, supervisor.sn break else: (employee.SupervisorEmail, employee.SupervisorFirstName, employee.SupervisorSurname) = ('Supervisor not found.', 'Supervisor not found.', 'Supervisor not found.') else: (employee.SupervisorEmail, employee.SupervisorFirstName, employee.SupervisorSurname) = ('Supervisor not set.', 'Supervisor not set.', 'Supervisor not set.') #Is thre a more pythonic way of doing this? def print_employees(self): for employee in self.employee_list: print(employee.__dict__) if __name__ == '__main__': db_employees = Employees(import_gd_dump()) db_employees.clean_all_phone_numbers() db_employees.lookup_all_supervisors() #db_employees.print_employees() write_gd_formatted(db_employees) Firstly, my preamble question is, can you see anything inherently wrong with the above, from either a class design or Python point-of-view? Is the logic/design sound? Anyhow, to the specifics: The Employees object has a method, clean_all_phone_numbers(), which calls clean_phone_number() on each Employee object inside it. Is this bad design? If so, why? Also, is the way I'm calling lookup_all_supervisors() bad? Originally, I wrapped the clean_phone_number() and lookup_supervisor() method in a single function, with a single for-loop inside it. clean_phone_number is O(n), I believe, lookup_supervisor is O(n^2) - is it ok splitting it into two loops like this? In clean_all_phone_numbers(), I'm looping on the Employee objects, and settings their values using return/assignment - should I be setting this inside clean_phone_number() itself? There's also a few things that I'm sorted of hacked out, not sure if they're bad practice - e.g. print_employee() and gd_formatted() both use __dict__, and the constructor for Employee uses setattr() to convert a dictionary into instance attributes. I'd value any thoughts at all. If you think the questions are too broad, let me know and I can repost as several split up (I just didn't want to pollute the boards with multiple similar questions, and the three questions are more or less fairly tightly related). Cheers, Victor

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