I’m fairly new to Python and have a question regarding the following class:
class Configuration:
def __init__(self):
parser = SafeConfigParser()
try:
if parser.read(CONFIG_FILE) is None:
raise IOError('Cannot open configuration file')
except IOError, error:
sys.exit(error)
else:
self.__parser = parser
self.fileName = CONFIG_FILE
def get_section(self):
p = self.__parser
result = []
for s in p.sections():
result.append('{0}'.format(s))
return result
def get_info(self, config_section):
p = self.__parser
self.section = config_section
self.url = p.get(config_section, 'url')
self.imgexpr = p.get(config_section, 'imgexpr')
self.imgattr1 = p.get(config_section, 'imgattr1')
self.imgattr2 = p.get(config_section, 'imgattr2')
self.destination = p.get(config_section, 'destination')
self.createzip = p.get(config_section, 'createzip')
self.pagesnumber = p.get(config_section, 'pagesnumber')
Is it OK to add more instance variables in another function, get_info in this example, or is it best practice to define all instance variables in the constructor? Couldn’t it lead to spaghetti code if I define new instance variables all over the place?
EDIT: I’m using this code with a simple image scraper. Via get_section I return all sections in the config file, and then iterate through them to visit each site that I’m scraping images from. For each iteration I make a call to get_section to get the configuration settings for each section in the config file.
If anyone can come up with another approach it’ll be fine! Thanks!
I would definitely declare all instance variables in
__init__. To not do so leads to increased complexity and potential unexpected side effects.To provide an alternate point of view from David Hall in terms of access, this is from the Google Python style guide.
From PEP8
Python isn’t java/C#, and it has very strong ideas about how code should look and be written. If you are coding in python, it makes sense to make it look and feel like python. Other people will be able to understand your code more easily and you’ll be able to understand other python code better as well.