add_demo_restaurant_bot

application/python_programming_demo_app-0.0.1/python_programming_demo_app-0.0.1/PKG-INFO

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+Metadata-Version: 1.0
+Name: python_programming_demo_app
+Version: 0.0.1
+Summary: UNKNOWN
+Home-page: http://sakaijunsoccer.appspot.com
+Author: jsakai
+Author-email: [email protected]
+License: MIT
+Description-Content-Type: UNKNOWN
+Description: Roboter
+        ====
+
+        ## Install
+
+        1. 以下のようにパーケージをインストールするか、もしくはroboterフォルダーを実行するディレクトリへ置いてください。
+        $ python setup.py develop
+
+        or
+
+        $ ls
+        roboter
+
+
+        ## Requirement
+        pip install termcolor==1.1.0
+
+
+        ## Usage
+
+        1. 以下のようにtalk_about_restaurant関数を呼び出すと実行可能です。
+
+        # vim main.py
+        import roboter.controller.conversation
+        roboter.controller.conversation.talk_about_restaurant()
+
+        2. 実行して下さい。
+        $ python main.py
+
+        (オプション: 保存するCSVやテンプレート先を変更する場合は、settings.pyに以下の値を入れる。)
+        # vim settings.py
+        CSV_FILE_PATH = '/tmp/test.csv'
+        TEMPLATE_PATH = '/tmp/templates/'
+
+        # settings.pyファイルを作成した場合は、変更しない場合のDefaultは以下に設定する
+        CSV_FILE_PATH = None
+        TEMPLATE_PATH = None
+
+
+Platform: UNKNOWN

application/python_programming_demo_app-0.0.1/python_programming_demo_app-0.0.1/README.txt

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+Roboter
+====
+
+## Install
+
+1. 이하 패키지를 인스톨하거나, 실행하실 디렉토리에 roboter 폴더를 옮겨주시기 바랍니다. 
+$ python setup.py develop
+
+or
+
+$ ls
+roboter
+
+
+## Requirement
+pip install termcolor==1.1.0
+
+
+## Usage
+
+1. 이하와 같이 talk_about_restaurant 함수를 불러오면 실행할 수 있습니다.
+
+# vim main.py
+import roboter.controller.conversation
+roboter.controller.conversation.talk_about_restaurant()
+
+2. 실행해주세요 
+$ python main.py
+
+(옵션: 보존할 csv 나 템플릿을 변경할 경우는 settings.py 에 아래를 추가합니다)
+
+# vim settings.py
+CSV_FILE_PATH = '/tmp/test.csv'
+TEMPLATE_PATH = '/tmp/templates/'
+
+# settings.py 파일을 작성한 경우에는, 변경하지 않은 경우의 default 는 다음과 같이 설정합니다.
+CSV_FILE_PATH = None
+TEMPLATE_PATH = None
+

application/python_programming_demo_app-0.0.1/python_programming_demo_app-0.0.1/main.py

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+import roboter.controller.conversation
+roboter.controller.conversation.talk_about_restaurant()

application/python_programming_demo_app-0.0.1/python_programming_demo_app-0.0.1/roboter/controller/conversation.py

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+"""Controller for speaking with robot"""
+from roboter.models import robot
+
+
+def talk_about_restaurant():
+    """Function to speak with robot"""
+    restaurant_robot = robot.RestaurantRobot()
+    restaurant_robot.hello()
+    restaurant_robot.recommend_restaurant()
+    restaurant_robot.ask_user_favorite()
+    restaurant_robot.thank_you()
+

application/python_programming_demo_app-0.0.1/python_programming_demo_app-0.0.1/roboter/models/ranking.py

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+"""Generates ranking model to write to CSV
+
+TODO (jsakai) Rewrite to DB instead of CSV
+"""
+import collections
+import csv
+import os
+import pathlib
+
+
+RANKING_COLUMN_NAME = 'NAME'
+RANKING_COLUMN_COUNT = 'COUNT'
+RANKING_CSV_FILE_PATH = 'ranking.csv'
+
+
+class CsvModel(object):
+    """Base csv model."""
+    def __init__(self, csv_file):
+        self.csv_file = csv_file
+        if not os.path.exists(csv_file):
+            pathlib.Path(csv_file).touch()
+
+
+class RankingModel(CsvModel):
+    """Definition of class that generates ranking model to write to CSV"""
+    def __init__(self, csv_file=None, *args, **kwargs):
+        if not csv_file:
+            csv_file = self.get_csv_file_path()
+        super().__init__(csv_file, *args, **kwargs)
+        self.column = [RANKING_COLUMN_NAME, RANKING_COLUMN_COUNT]
+        self.data = collections.defaultdict(int)
+        self.load_data()
+
+    def get_csv_file_path(self):
+        """Set csv file path.
+
+        Use csv path if set in settings, otherwise use default
+        """
+        csv_file_path = None
+        try:
+            import settings
+            if settings.CSV_FILE_PATH:
+                csv_file_path = settings.CSV_FILE_PATH
+        except ImportError:
+            pass
+
+        if not csv_file_path:
+            csv_file_path = RANKING_CSV_FILE_PATH
+        return csv_file_path
+
+    def load_data(self):
+        """Load csv data.
+
+        Returns:
+            dict: Returns ranking data of dict type.
+        """
+        with open(self.csv_file, 'r+') as csv_file:
+            reader = csv.DictReader(csv_file)
+            for row in reader:
+                self.data[row[RANKING_COLUMN_NAME]] = int(
+                    row[RANKING_COLUMN_COUNT])
+        return self.data
+
+    def save(self):
+        """Save data to csv file."""
+        # TODO (jsakai) Use locking mechanism for avoiding dead lock issue
+        with open(self.csv_file, 'w+') as csv_file:
+            writer = csv.DictWriter(csv_file, fieldnames=self.column)
+            writer.writeheader()
+
+            for name, count in self.data.items():
+                writer.writerow({
+                    RANKING_COLUMN_NAME: name,
+                    RANKING_COLUMN_COUNT: count
+                })
+
+    def get_most_popular(self, not_list=None):
+        """Fetch the data of the top most ranking.
+
+        Args:
+            not_list (list): Excludes the name on the list.
+
+        Returns:
+            str: Returns the data of the top most ranking
+        """
+        if not_list is None:
+            not_list = []
+
+        if not self.data:
+            return None
+
+        sorted_data = sorted(self.data, key=self.data.get, reverse=True)
+        for name in sorted_data:
+            if name in not_list:
+                continue
+            return name
+
+    def increment(self, name):
+        """Increase rank for the give name."""
+        self.data[name.title()] += 1
+        self.save()

application/python_programming_demo_app-0.0.1/python_programming_demo_app-0.0.1/roboter/models/robot.py

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+"""Defined a robot model """
+from roboter.models import ranking
+from roboter.views import console
+
+
+DEFAULT_ROBOT_NAME = 'Roboko'
+
+
+class Robot(object):
+    """Base model for Robot."""
+
+    def __init__(self, name=DEFAULT_ROBOT_NAME, user_name='',
+                 speak_color='green'):
+        self.name = name
+        self.user_name = user_name
+        self.speak_color = speak_color
+
+    def hello(self):
+        """Returns words to the user that the robot speaks at the beginning."""
+        while True:
+            template = console.get_template('hello.txt', self.speak_color)
+            user_name = input(template.substitute({
+                'robot_name': self.name}))
+
+            if user_name:
+                self.user_name = user_name.title()
+                break
+
+
+class RestaurantRobot(Robot):
+    """Handle data model on restaurant."""
+
+    def __init__(self, name=DEFAULT_ROBOT_NAME):
+        super().__init__(name=name)
+        self.ranking_model = ranking.RankingModel()
+
+    def _hello_decorator(func):
+        """Decorator to say a greeting if you are not greeting the user."""
+        def wrapper(self):
+            if not self.user_name:
+                self.hello()
+            return func(self)
+        return wrapper
+
+    @_hello_decorator
+    def recommend_restaurant(self):
+        """Show restaurant recommended restaurant to the user."""
+        new_recommend_restaurant = self.ranking_model.get_most_popular()
+        if not new_recommend_restaurant:
+            return None
+
+        will_recommend_restaurants = [new_recommend_restaurant]
+        while True:
+            template = console.get_template('greeting.txt', self.speak_color)
+            is_yes = input(template.substitute({
+                'robot_name': self.name,
+                'user_name': self.user_name,
+                'restaurant': new_recommend_restaurant
+            }))
+
+            if is_yes.lower() == 'y' or is_yes.lower() == 'yes':
+                break
+
+            if is_yes.lower() == 'n' or is_yes.lower() == 'no':
+                new_recommend_restaurant = self.ranking_model.get_most_popular(
+                    not_list=will_recommend_restaurants)
+                if not new_recommend_restaurant:
+                    break
+                will_recommend_restaurants.append(new_recommend_restaurant)
+
+    @_hello_decorator
+    def ask_user_favorite(self):
+        """Collect favorite restaurant information from users."""
+        while True:
+            template = console.get_template(
+                'which_restaurant.txt', self.speak_color)
+            restaurant = input(template.substitute({
+                'robot_name': self.name,
+                'user_name': self.user_name,
+            }))
+            if restaurant:
+                self.ranking_model.increment(restaurant)
+                break
+
+    @_hello_decorator
+    def thank_you(self):
+        """Show words of appreciation to users."""
+        template = console.get_template('good_by.txt', self.speak_color)
+        print(template.substitute({
+            'robot_name': self.name,
+            'user_name': self.user_name,
+        }))

application/python_programming_demo_app-0.0.1/python_programming_demo_app-0.0.1/roboter/templates/good_by.txt

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+$robot_name: $user_name 씨 감사합니다. 
+$robot_name: Thank you so much, $user_name! 좋은 하루 되세요. 안녕히가세요 
+Have a good day!
+

application/python_programming_demo_app-0.0.1/python_programming_demo_app-0.0.1/roboter/templates/greeting.txt

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+제가 추천하는 레스토랑은 $restaurant 입니다. 
+I recommend $restaurant restaurant. 이 레스토랑을 좋아하십니까? [Yes/No]
+Do you like it? [y/n]

application/python_programming_demo_app-0.0.1/python_programming_demo_app-0.0.1/roboter/templates/hello.txt

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+안녕하세요 저는 $robot_name 입니다. 당신의 이름은 무엇입니까? 
+Hello, I am $robot_name. What is your name?

application/python_programming_demo_app-0.0.1/python_programming_demo_app-0.0.1/roboter/templates/which_restaurant.txt

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+$user_name 씨, 좋아하는 레스토랑은 어디인가요? 
+$user_name, which restaurants do you like?

application/python_programming_demo_app-0.0.1/python_programming_demo_app-0.0.1/roboter/views/console.py

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+"""Utils to display to be returned to the user on the console."""
+import os
+import string
+
+import termcolor
+
+
+def get_template_dir_path():
+    """Return the path of the template's directory.
+
+    Returns:
+        str: The template dir path.
+    """
+    template_dir_path = None
+    try:
+        import settings
+        if settings.TEMPLATE_PATH:
+            template_dir_path = settings.TEMPLATE_PATH
+    except ImportError:
+        pass
+
+    if not template_dir_path:
+        base_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+        template_dir_path = os.path.join(base_dir, 'templates')
+
+    return template_dir_path
+
+
+class NoTemplateError(Exception):
+    """No Template Error"""
+
+
+def find_template(temp_file):
+    """Find for template file in the given location.
+
+    Returns:
+        str: The template file path
+
+    Raises:
+        NoTemplateError: If the file does not exists.
+    """
+    template_dir_path = get_template_dir_path()
+    temp_file_path = os.path.join(template_dir_path, temp_file)
+    if not os.path.exists(temp_file_path):
+        raise NoTemplateError('Could not find {}'.format(temp_file))
+    return temp_file_path
+
+
+def get_template(template_file_path, color=None):
+    """Return the path of the template.
+
+    Args:
+        template_file_path (str): The template file path
+        color: (str): Color formatting for output in terminal
+            See in more details: https://pypi.python.org/pypi/termcolor
+
+    Returns:
+        string.Template: Return templates with characters in templates.
+    """
+    template = find_template(template_file_path)
+    with open(template, 'r', encoding='utf-8') as template_file:
+        contents = template_file.read()
+        contents = contents.rstrip(os.linesep)
+        contents = '{splitter}{sep}{contents}{sep}{splitter}{sep}'.format(
+            contents=contents, splitter="=" * 60, sep=os.linesep)
+        contents = termcolor.colored(contents, color)
+        return string.Template(contents)

application/python_programming_demo_app-0.0.1/python_programming_demo_app-0.0.1/setup.cfg

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+[egg_info]
+tag_build = 
+tag_date = 0
+