import yaml # checkout and download yaml for python # you should probably put this config in a seperate file # but for this example it is just a multi-line string yamlConfigFile = """ cars: car0: type: toyota hp: 129 mpg: city: 30 highway: 35 cost: 15,000 car1: type: gm hp: 225 mpg: city: 20 highway: 25 cost: 20,000 car2: type: chevy hp: 220 mpg: city: 22 highway: 24 cost: 21,000 """ # the yaml file will be converted to a dict # for sub sections the dict will nest dicts theDict = yaml.load(yamlConfigFile) print theDict # output (I added some tabs and what not so you # could see the nested dict structure): # {'cars': # {'car2': # {'mpg': {'city': 22, 'highway': 24}, # 'hp': 220, # 'cost': '21,000', # 'type': 'chevy'}, # 'car0': # {'mpg': {'city': 30, 'highway': 35}, # 'hp': 129, # 'cost': '15,000', # 'type': 'toyota'}, # 'car1': # {'mpg': {'city': 20, 'highway': 25}, # 'hp': 225, # 'cost': '20,000', # 'type': 'gm'} # } #} # to list the car types (like car1, car2, etc print theDict['cars'].keys() # output: # ['car2', 'car0', 'car1'] # to display the type and cost of the vehicles for c in theDict['cars'].keys(): print theDict['cars'][c]['type'], "cost:", theDict['cars'][c]['cost'] # output: # chevy cost: 21,000 # toyota cost: 15,000 # gm cost: 20,000 # update the cost of toyota theDict['cars']['car0']['cost'] = '25,000' # the update is now in the dict representation of the yaml file # to dump the yaml dict back to a file # or in our case a multi-line string use the dump command # which you could write to a file print yaml.dump(theDict) # output: # cars: # car0: # cost: 25,000 # hp: 129 # mpg: {city: 30, highway: 35} # type: toyota # car1: # cost: 20,000 # hp: 225 # mpg: {city: 20, highway: 25} # type: gm # car2: # cost: 21,000 # hp: 220 # mpg: {city: 22, highway: 24} # type: chevy
A python example based blog that shows how to accomplish python goals and how to correct python errors.
Wednesday, September 30, 2009
Python - using yaml for configuration files
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