def test_wrong_gmaps_key(self):
        
        address = Address(self.valid_address)

        tmp = address.gmaps
        address.gmaps = googlemaps.Client(key=self.BROKEN_GMAPS_KEY)

        with self.assertRaises(addressClass.InvalidGmapsKey):
            address._get_address_info(address.formatted_address)

        address.gmaps = tmp
Exemple #2
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    def test_address_init(self):

        #This part success if address not in Chicago exception is raised
        with self.assertRaises(ValueError):
            address = Address(self.invalid_address)

        #First part success if no exceptions are raised.
        address = Address(self.valid_address)

        self.assertAlmostEqual(address.lat, self.valid_lat_lon[0], places=3)
        self.assertAlmostEqual(address.lon, self.valid_lat_lon[1], places=3)
        self.assertAlmostEqual
Exemple #3
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    def setUp(self):
        self.address_wrong = 'asdf'
        self.address = Address('4334 West Washington Blvd')

        self.test_db = pd.DataFrame(
            [[1, 2, 3, 4], [1, 2, 3, 4], [1, 2, 3, 4], [1, 2, 3, 4]],
            columns=['Year', 'Month', 'Arrest', 'District'])
        self.test_CrimesDataFrame = CrimesDataFrame(self.test_db)

        self.malformed_addresses_array = [1, 2, 3, 4]
        self.addresses_array = [self.address, self.address]
        self.zero_addresses_array = []
Exemple #4
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    def test_wrong_gmaps_key(self):

        address = Address(self.valid_address)

        tmp = address.gmaps
        address.gmaps = googlemaps.Client(key=self.BROKEN_GMAPS_KEY)

        with self.assertRaises(addressClass.InvalidGmapsKey):
            address._get_address_info(address.formatted_address)

        address.gmaps = tmp
 def setUp(self):
     #Useful attributes for testing 
     self.good_address = Address('4334 W Washington Blv')
     self.data = pd.read_csv('./tests/csv_for_test.csv')
Exemple #6
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def main():
    # Maximum number of addresses for analysis allowed
    MAX_ADDRESSES = 10

    interface_utils.display_welcome_screen()

    # Load DB of crimes. If Database is not clean, the program will clean it and the user will have the option to save it
    crimes_database = databases_utils.get_crimes_db()
    os.system('clear')  

    # Ask for user to choose a range of years and filter the Database accordingly
    crimes_database = databases_utils.filter_db_by_timeframe(crimes_database)

    # Ask for user to choose one or more types of crime and filter the Database accordingly
    crimes_database = databases_utils.filter_db_by_crime(crimes_database)

    # Create an instance of the CrimesDataFrame class with the filtered Database. This class is in charge of Statistics
    crimes_database = CrimesDataFrame(crimes_database)

    # Create lists to save addresses and addresses names of interest
    user_addresses = []
    user_addresses_names = []

    # Create interface Options
    interface_options = ['Add another address','Delete saved address',
                        'View saved address', 'Comparative analysis','Quit']
    option = 'Add another address'

    # Main loop of the program. It will ask for user input and show maps and analyses until 'Quit' is introduced
    while 1:

        if (not user_addresses) or option == 'Add another address':

            try:
                # Create an instance of Address class. It will ask user to input an address, validate it through
                # Google Maps, and calculate/save several attributes of that address.
                address = Address()

            except NoInternetAccess:
                print('No Internet connection found')
                if interface_utils.yesno_question('Continue?'):
                    address = None # Continue with the normal loop without saving the address
                else:
                    raise QuitProgram    

            # Create a District Heat Map with maps_builder class and show it.
            if address:
                interface_utils.computing_statistics_message()
                address.summary = address_analysis(crimes_database, address)
                address_analysis_output(address, crimes_database)
                

            # User will have the option to save/discard the address after reviewing the Map and Statistics.
            if interface_utils.yesno_question('Keep this address for comparative analysis?'):
                if len(user_addresses) == MAX_ADDRESSES:
                    print 'Maximum number of addresses to save reached, delete one location before adding a new address'
                else:
                    if address not in user_addresses:
                        user_addresses.append(address)
                        user_addresses_names.append(address.formatted_address)

        # This option will allow the user to review the Map and Stats of an address that was saved.
        elif option == 'View saved address':
            option = interface_utils.get_options_from_user(user_addresses_names + ['Back'], multiple=False)

            if option != 'Back':
                address = user_addresses[user_addresses_names.index(option)]
                interface_utils.computing_statistics_message()
                address_analysis_output(address, crimes_database)                

        # This option will allow the user to delete one of the saved addresses.
        elif option == 'Delete saved address':
            option = interface_utils.get_options_from_user(user_addresses_names + ['Back'], multiple=False)
            if option != 'Back':
                user_addresses.pop(user_addresses_names.index(option))
                user_addresses_names.pop(user_addresses_names.index(option))

        # This option will create a comparative Map and statistics to analyze and compare the saved addresses.
        elif option == 'Comparative analysis':
            comparative_analysis_output(crimes_database, user_addresses)


        # This option is the only way to end the loop and finish the program
        elif option == 'Quit':
            raise QuitProgram

        # If user_addresses is empty start the loop again directly to ask for an address
        # If there are addresses in user_addresses, offer options on how to continue
        if user_addresses:
            option = interface_utils.get_options_from_user(interface_options, multiple=False)
Exemple #7
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def main():
    # Maximum number of addresses for analysis allowed
    MAX_ADDRESSES = 10

    interface_utils.display_welcome_screen()

    # Load DB of crimes. If Database is not clean, the program will clean it and the user will have the option to save it
    crimes_database = databases_utils.get_crimes_db()
    os.system('clear')

    # Ask for user to choose a range of years and filter the Database accordingly
    crimes_database = databases_utils.filter_db_by_timeframe(crimes_database)

    # Ask for user to choose one or more types of crime and filter the Database accordingly
    crimes_database = databases_utils.filter_db_by_crime(crimes_database)

    # Create an instance of the CrimesDataFrame class with the filtered Database. This class is in charge of Statistics
    crimes_database = CrimesDataFrame(crimes_database)

    # Create lists to save addresses and addresses names of interest
    user_addresses = []
    user_addresses_names = []

    # Create interface Options
    interface_options = [
        'Add another address', 'Delete saved address', 'View saved address',
        'Comparative analysis', 'Quit'
    ]
    option = 'Add another address'

    # Main loop of the program. It will ask for user input and show maps and analyses until 'Quit' is introduced
    while 1:

        if (not user_addresses) or option == 'Add another address':

            try:
                # Create an instance of Address class. It will ask user to input an address, validate it through
                # Google Maps, and calculate/save several attributes of that address.
                address = Address()

            except NoInternetAccess:
                print('No Internet connection found')
                if interface_utils.yesno_question('Continue?'):
                    address = None  # Continue with the normal loop without saving the address
                else:
                    raise QuitProgram

            # Create a District Heat Map with maps_builder class and show it.
            if address:
                interface_utils.computing_statistics_message()
                address.summary = address_analysis(crimes_database, address)
                address_analysis_output(address, crimes_database)

            # User will have the option to save/discard the address after reviewing the Map and Statistics.
            if interface_utils.yesno_question(
                    'Keep this address for comparative analysis?'):
                if len(user_addresses) == MAX_ADDRESSES:
                    print 'Maximum number of addresses to save reached, delete one location before adding a new address'
                else:
                    if address not in user_addresses:
                        user_addresses.append(address)
                        user_addresses_names.append(address.formatted_address)

        # This option will allow the user to review the Map and Stats of an address that was saved.
        elif option == 'View saved address':
            option = interface_utils.get_options_from_user(
                user_addresses_names + ['Back'], multiple=False)

            if option != 'Back':
                address = user_addresses[user_addresses_names.index(option)]
                interface_utils.computing_statistics_message()
                address_analysis_output(address, crimes_database)

        # This option will allow the user to delete one of the saved addresses.
        elif option == 'Delete saved address':
            option = interface_utils.get_options_from_user(
                user_addresses_names + ['Back'], multiple=False)
            if option != 'Back':
                user_addresses.pop(user_addresses_names.index(option))
                user_addresses_names.pop(user_addresses_names.index(option))

        # This option will create a comparative Map and statistics to analyze and compare the saved addresses.
        elif option == 'Comparative analysis':
            comparative_analysis_output(crimes_database, user_addresses)

        # This option is the only way to end the loop and finish the program
        elif option == 'Quit':
            raise QuitProgram

        # If user_addresses is empty start the loop again directly to ask for an address
        # If there are addresses in user_addresses, offer options on how to continue
        if user_addresses:
            option = interface_utils.get_options_from_user(interface_options,
                                                           multiple=False)
 def setUp(self):
     self.good_address = Address('4334 W Washington Blv')
     self.data = pd.read_csv('./tests/csv_for_test.csv')