87 lines
2.2 KiB
Python
87 lines
2.2 KiB
Python
from db import *
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from sqlalchemy import or_
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def search_user(string, session):
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exact_match = session.query(User).filter(or_(User.name==string, User.card==string)).first()
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if exact_match:
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return exact_match
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user_list = session.query(User).filter(or_(User.name.like('%'+string+'%'),User.card.like('%'+string+'%'))).all()
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return user_list
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def search_product(string, session):
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exact_match = session.query(Product)\
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.filter(or_(Product.bar_code==string,
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Product.name==string)).first()
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if exact_match:
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return exact_match
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product_list = session.query(Product)\
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.filter(or_(Product.bar_code.like('%'+string+'%'),
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Product.name.like('%'+string+'%'))).all()
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return product_list
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def guess_data_type(string):
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if string.startswith('NTNU'):
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return 'card'
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if string.isdigit():
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return 'bar_code'
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if string.isalpha() and string.islower():
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return 'username'
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return 'product_name'
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def retrieve_user(string, session):
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# first = session.query(User).filter(or_(User.name==string, User.card==string)).first()
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search = search_user(string,session)
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if isinstance(search,User):
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print "Found user "+search.name
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return search
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else:
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if len(search) == 0:
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print "No users found matching your search"
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return None
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if len(search) == 1:
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print "Found one user: "+list[0].name
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if confirm():
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return list[0]
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else:
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return None
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else:
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print "Found "+str(len(search))+" users:"
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return select_from_list(search)
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def confirm(prompt='Confirm? (y/n) '):
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while True:
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input = raw_input(prompt)
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if input in ["y","yes"]:
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return True
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elif input in ["n","no"]:
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return False
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else:
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print "Nonsense!"
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def select_from_list(list):
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while True:
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for i in range(len(list)):
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print i+1, " ) ", list[i].name
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choice = raw_input("Select user :\n")
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if choice in [str(x+1) for x in range(len(list))]:
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return list[int(choice)-1]
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else:
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return None
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def argmax(d, all=False, value=None):
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maxarg = None
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maxargs = []
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if value != None:
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dd = d
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d = {}
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for key in dd.keys():
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d[key] = value(dd[key])
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for key in d.keys():
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if maxarg == None or d[key] > d[maxarg]:
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maxarg = key
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if all:
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return filter(lambda k: d[k] == d[maxarg], d.keys())
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return maxarg
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