within a python script, I like to create a collection which I fill with
values from an external text-file (user editable).
How is this accomplished the easiest way (if possible without the need
of libraries which are not part of the standard distribution)?
something like:
text-file:
{peter, 16},
{anton, 21}
-
within code:
users.load(text-file.txt)
for user in users
user.name
user.age
.
I'd use a CSV text file, maybe something like (only tested as far as you see!):
----< for_ilias_lazaridis.py >----------------------------------------------
import csv, types
class Fields(object):
def __init__(self, kvpairs): self.__dict__.update(kvpairs)
class Users(object):
def __init__(self):
self.userlist=[]
def load(self, lineiter):
if isinstance(lineiter, basestring):
lineiter = open(lineiter) # assume it's a file path
csvit = csv.reader(lineiter)
self.colnames = colnames = csvit.next()
typenames = csvit.next()
self.coltypes =coltypes = [getattr(types, name.capitalize()+'Type')
for name in typenames]
for row in csvit:
self.userlist.append(Fields(zip(colnames, (t(s) for t,s in zip(coltypes, row)))))
def __iter__(self): return iter(self.userlist)
def test():
import StringIO
f = StringIO.StringIO("""\
name,age
String,Int
peter,16
anton,21
""")
users = Users()
users.load(f)
for user in users:
print user.name, user.age
for user in users:
for name in users.colnames:
print '%s=%s,'%(name, getattr(user, name)),
print
if __name__ == '__main__': test()
-----------------------------------------------------------------------
Output:
[ 4:47] C:\pywk\clp>py24 for_ilias_lazaridis.py
peter 16
anton 21
name=peter, age=16,
name=anton, age=21,
(the first for user in users loop presumes knowledge of the field names name and age.
The second gets them automatically from the names loaded in the load method from
the first line of the text file. The second line expects type names as you see
in the types module, except without the "Type" suffix.
Perhaps you can adapt for your purposes.
Regards,
Bengt Richter