##Take raw data and extract higher level features using functions in metrics
import utils
import itertools
from metrics import similarityMatrix
searches = [[112],['house','senate']]
for search in itertools.product(*searches):
congress = str(search[0])
chamber = search[1]
voteData = utils.readDict('votes-'+congress+chamber)
similarities = similarityMatrix(voteData)
utils.writeDict({'sims':similarities,'people':people},'similarities-'+congress+chamber)
select = input(
"press 0: exit this process\npress 1: enter an URL to parse a recipe\n\
press 2: do transformation\npress 3: show old recipe(you can also find the old recipe in ./output/parserOutput.json)\npress 4: show new recipe(to see the complete new recipe of last transformation)(you can also find the new recipe in ./output/newRecipeOutput.json)\n"
)
if select == '1':
url = str(
input("please enter an URL from allrecipe\n\
(default:https://www.allrecipes.com/recipe/232458/pork-chops-with-creamy-scalloped-potatoes/)\n"
))
if len(url.strip()) == 0:
url = 'https://www.allrecipes.com/recipe/232458/pork-chops-with-creamy-scalloped-potatoes/'
test = parser.parser(url, resPath)
test.parserIngredient()
test.parserDirection()
utils.printDict(utils.recipeAddNumber(test.res))
utils.writeDict(utils.recipeAddNumber(test.res), resPath)
utils.printRecipeNL(test.res)
elif select == '2':
if url == None:
print(
"you need to press 1 to enter an URL to parser an recipe first"
)
continue
transfromtest = transfrom.transform(test.res)
tran = input("press 0: exit this process\n\
press 1: change recipe to Vegetarian\n\
press 2: change recipe to Non-Vegetarian\n\
press 3: change recipe to Healthy recipe\n\
press 4: change recipe to Non-healthy recipe\n\
press 5: change recipe to Mexican recipe\n\
for member in members:
voteData[member.find('id').text] = []
#Go through each rollcall of each session and record votes
for session in ['1','2']:
rollcallPath = 'data/raw/'+chamber+'/'+congress+'/'+session+'/rollcall'
for fileList in os.walk(rollcallPath):
for rollCall in fileList[2]:
votes = ET.parse(rollcallPath+'/'+rollCall).getroot().find('results').find('votes').find('vote').find('positions').findall('position')
for vote in votes:
position = vote.find('vote_position').text
memberId = vote.find('member_id').text
if lookup.has_key(position):
voteData[memberId].append(lookup[position])
else:
voteData[memberId].append(-1)
utils.writeDict(voteData,'votes-'+congress+chamber)
last100 = """
for search in itertools.product(*searches):
voteData = {}
congress = str(search[0])
chamber = search[1]
rootPath = 'data/'+chamber+'/'+congress
members = ET.parse(rootPath+'/members.xml').getroot().find('results').find('members').findall('member')
for member in members:
member_id = member.find('id').text
print member_id
votes = ET.parse(rootPath+'/members/'+member_id+'/votes.xml').getroot().find('results').find('votes').findall('vote')
voteList = map(lambda v: lookup[v.find('position').text], votes)
voteData[member_id] = voteList
utils.writeDict(voteData,'votes-'+congress+chamber)
