bots: Remove unmaintained bots.
This commit is contained in:
Steve Howell
showell
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commit
754a9f7880
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# Unmaintained bots
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This directory contains bots that are currently not maintained by the Zulip
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community. They are untested and potentially buggy or completely nonfunctional.
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We only know that they worked at the time of their creation.
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We see potential in every bot included in this directory. Many were moved simply
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because they didn't contain automated tests. Feel free to use or revive
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these bots.
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## Reviving a bot
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To revive an unmaintained bot, go through our [Writing bots](
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https://chat.zulip.org/api/writing-bots) guide and check if
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the bot meets the outlined criteria.
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In particular, this means that the bot should:
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* contain automated tests.
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* be well-documented, with usage examples.
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* provide a command set reasonably easy and convenient to use for a human.
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Once a bot fulfills all the criteria, feel free to submit a pull request to add it
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to the `bots` directory. We are happy to include it there.
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[Google.com]
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api_key = abcdefghijklmnopqrstuvwxyz
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@ -1,220 +0,0 @@
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from __future__ import print_function
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import datetime as dt
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import requests
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class CommuteHandler(object):
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'''
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This plugin provides information regarding commuting
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from an origin to a destination, providing a multitude of information.
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It looks for messages starting with @mention of the bot.
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'''
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def initialize(self, bot_handler):
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self.api_key = bot_handler.get_config_info('commute', 'Google.com')['api_key']
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def usage(self):
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return '''
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This plugin will allow briefings of estimated travel times,
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distances and fare information for transit travel.
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It can vary outputs depending on traffic conditions, departure and
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arrival times as well as user preferences
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(toll avoidance, preference for bus travel, etc.).
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It looks for messages starting with @mention of the bot.
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Users should input an origin and a destination
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in any stream or through private messages to the bot to receive a
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response in the same stream or through private messages if the
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input was originally private.
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Sample input:
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@mention-botname origins=Chicago,IL,USA destinations=New+York,NY,USA
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@mention-botname help
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'''
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help_info = '''
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Obligatory Inputs:
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Origin e.g. origins=New+York,NY,USA
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Destination e.g. destinations=Chicago,IL,USA
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Optional Inputs:
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Mode Of Transport (inputs: driving, walking, bicycling, transit)
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Default mode (no mode input) is driving
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e.g. mode=driving or mode=transit
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Units (metric or imperial)
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e.g. units=metric
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Restrictions (inputs: tolls, highways, ferries, indoor)
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e.g. avoid=tolls
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Departure Time (inputs: now or (YYYY, MM, DD, HH, MM, SS) departing)
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e.g. departure_time=now or departure_time=2016,12,17,23,40,40
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Arrival Time (inputs: (YYYY, MM, DD, HH, MM, SS) arriving)
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e.g. arrival_time=2016,12,17,23,40,40
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Languages:
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Languages list: https://developers.google.com/maps/faq#languagesupport)
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e.g. language=fr
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Sample request:
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@mention-botname origins=Chicago,IL,USA destinations=New+York,NY,USA language=fr
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Please note:
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Fare information can be derived, though is solely dependent on the
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availability of the information
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python run.py bots/followup/followup.py --config-file ~/.zuliprc-local
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released by public transport operators.
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Duration in traffic can only be derived if a departure time is set.
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If a location has spaces in its name, please use a + symbol in the
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place of the space/s.
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A departure time and a arrival time can not be inputted at the same time
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To add more than 1 input for a category,
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e.g. more than 1 destinations,
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use (|), e.g. destinations=Empire+State+Building|Statue+Of+Liberty
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No spaces within addresses.
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Departure times and arrival times must be in the UTC timezone,
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you can use the timezone bot.
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'''
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# determines if bot will respond as a private message/ stream message
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def send_info(self, message, letter, bot_handler):
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bot_handler.send_reply(message, letter)
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def calculate_seconds(self, time_str):
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times = time_str.split(',')
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times = [int(x) for x in times]
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# UNIX time from January 1, 1970 00:00:00
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unix_start_date = dt.datetime(1970, 1, 1, 0, 0, 0)
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requested_time = dt.datetime(*times)
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total_seconds = str(int((requested_time-unix_start_date)
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.total_seconds()))
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return total_seconds
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# adds departure time and arrival time paramaters into HTTP request
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def add_time_to_params(self, params):
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# limited to UTC timezone because of difficulty with user inputting
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# correct string for input
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if 'departure_time' in params:
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if 'departure_time' != 'now':
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params['departure_time'] = self.calculate_seconds(params['departure_time'])
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elif 'arrival_time' in params:
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params['arrival_time'] = self.calculate_seconds(params['arrival_time'])
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return
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# gets content for output and sends it to user
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def get_send_content(self, rjson, params, message, bot_handler):
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try:
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# JSON list of output variables
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variable_list = rjson["rows"][0]["elements"][0]
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# determines if user has valid inputs
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not_found = (variable_list["status"] == "NOT_FOUND")
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invalid_request = (rjson["status"] == "INVALID_REQUEST")
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no_result = (variable_list["status"] == "ZERO_RESULTS")
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if no_result:
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self.send_info(message,
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"Zero results\nIf stuck, try '@commute help'.",
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bot_handler)
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return
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elif not_found or invalid_request:
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raise IndexError
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except IndexError:
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self.send_info(message,
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"Invalid input, please see instructions."
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"\nIf stuck, try '@commute help'.", bot_handler)
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return
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# origin and destination strings
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begin = 'From: ' + rjson["origin_addresses"][0]
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end = 'To: ' + rjson["destination_addresses"][0]
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distance = 'Distance: ' + variable_list["distance"]["text"]
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duration = 'Duration: ' + variable_list["duration"]["text"]
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output = begin + '\n' + end + '\n' + distance
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# if user doesn't know that default mode is driving
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if 'mode' not in params:
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mode = 'Mode of Transport: Driving'
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output += '\n' + mode
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# determines if fare information is available
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try:
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fare = ('Fare: ' + variable_list["fare"]["currency"] +
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variable_list["fare"]["text"])
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output += '\n' + fare
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except (KeyError, IndexError):
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pass
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# determines if traffic duration information is available
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try:
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traffic_duration = ('Duration in traffic: ' +
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variable_list["duration_in_traffic"]
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["text"])
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output += '\n' + traffic_duration
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except (KeyError, IndexError):
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output += '\n' + duration
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# bot sends commute information to user
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self.send_info(message, output, bot_handler)
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# creates parameters for HTTP request
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def parse_pair(self, content_list):
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result = {}
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for item in content_list:
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# enables key value pair
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org = item.split('=')
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# ensures that invalid inputs are not entered into url request
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if len(org) != 2:
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continue
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key, value = org
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result[key] = value
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return result
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def receive_response(self, params, message, bot_handler):
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def validate_requests(request):
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if request.status_code == 200:
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return request.json()
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else:
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self.send_info(message,
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"Something went wrong. Please try again." +
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" Error: {error_num}.\n{error_text}"
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.format(error_num=request.status_code,
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error_text=request.text), bot_handler)
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return
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r = requests.get('https://maps.googleapis.com/maps/api/' +
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'distancematrix/json', params=params)
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result = validate_requests(r)
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return result
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def handle_message(self, message, bot_handler):
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original_content = message['content']
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query = original_content.split()
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if "help" in query:
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self.send_info(message, self.help_info, bot_handler)
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return
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params = self.parse_pair(query)
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params['key'] = self.api_key
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self.add_time_to_params(params)
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rjson = self.receive_response(params, message, bot_handler)
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if not rjson:
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return
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self.get_send_content(rjson, params, message, bot_handler)
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handler_class = CommuteHandler
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handler = CommuteHandler()
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def test_parse_pair():
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result = handler.parse_pair(['departure_time=2016,12,20,23,59,00',
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'dog_foo=cat-foo'])
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assert result == dict(departure_time='2016,12,20,23,59,00',
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dog_foo='cat-foo')
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def test_calculate_seconds():
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result = handler.calculate_seconds('2016,12,20,23,59,00')
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assert result == str(1482278340)
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def test_helper_functions():
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test_parse_pair()
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test_calculate_seconds()
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if __name__ == '__main__':
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test_helper_functions()
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print('Success')
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This bot will allow briefings of estimated travel times, distances and
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fare information for transit travel.
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It can respond to: departure times, arrival times, user preferences
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(toll avoidance, highway avoidance) and a mode of transport
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It can output: fare information, more detailed addresses on origin and
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destination, duration in traffic information, metric and imperical
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units and information in various languages.
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The bot will respond to the same stream input was in. And if called as
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private message, the bot will reply with a private message.
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To setup the bot, you will first need to add a valid API key to commute.conf
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Move
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```
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~/zulip/api/bots/commute/commute.conf
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```
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into
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```
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~/commute.conf
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```
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To add an API key, please visit:
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https://developers.google.com/maps/documentation/distance-matrix/start
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to retrieve a key and copy your api key into commute.conf
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Sample input and output:
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<pre><code>@commute help</code></pre>
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<pre><code>Obligatory Inputs:
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Origin e.g. origins=New+York,NY,USA
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Destination e.g. destinations=Chicago,IL,USA
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Optional Inputs:
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Mode Of Transport (inputs: driving, walking, bicycling, transit)
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Default mode (no mode input) is driving
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e.g. mode=driving or mode=transit
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Units (metric or imperial)
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e.g. units=metric
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Restrictions (inputs: tolls, highways, ferries, indoor)
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e.g. avoid=tolls
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Departure Time (inputs: now or (YYYY, MM, DD, HH, MM, SS) departing)
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e.g. departure_time=now or departure_time=2016,12,17,23,40,40
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Arrival Time (inputs: (YYYY, MM, DD, HH, MM, SS) arriving)
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e.g. arrival_time=2016,12,17,23,40,40
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Languages:
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Languages list: https://developers.google.com/maps/faq#languagesupport)
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e.g. language=fr
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</code></pre>
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Sample request:
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<pre><code>
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@commute origins=Chicago,IL,USA destinations=New+York,NY,USA language=fr
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</code></pre>
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Please note:
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Fare information can be derived, though is solely dependent on the
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availability of the information released by public transport operators.
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Duration in traffic can only be derived if a departure time is set.
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If a location has spaces in its name, please use a + symbol in the
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place of the space/s.
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A departure time and a arrival time can not be inputted at the same time
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No spaces within addresses.
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Departure times and arrival times must be in the UTC timezone,
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you can use the timezone bot.
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# FourSquare Bot
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* This is a bot that returns a list of restaurants from a user input of location,
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proximity and restaurant type in that exact order. The number of returned
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restaurants are capped at 3 per request.
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* The list of restaurants are brought to Zulip using an API. The bot sends a GET
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request to https://api.foursquare.com/v2/. If the user does not correctly input
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a location, proximity and a restaurant type, the bot will return an error message.
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* For example, if the user says "@foursquare 'Chicago, IL' 80000 seafood", the bot
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will return:
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Food nearby 'Chicago, IL' coming right up:
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Dee's Seafood Co.
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2723 S Poplar Ave, Chicago, IL 60608, United States
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Fish Markets
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Seafood Harbor
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2131 S Archer Ave (at Wentworth Ave), Chicago, IL 60616, United States
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Seafood Restaurants
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Joe's Seafood, Prime Steak & Stone Crab
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60 E Grand Ave (at N Rush St), Chicago, IL 60611, United States
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Seafood Restaurants
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* If the user enters a wrong word, like "@foursquare 80000 donuts" or "@foursquare",
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then an error message saying invalid input will be displayed.
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* To get the required API key, visit: https://developer.foursquare.com/overview/auth
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for more information.
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[Foursquare]
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api_key = abcdefghijksm
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from __future__ import print_function
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from __future__ import absolute_import
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import datetime as dt
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import re
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import requests
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from six.moves import range
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class FoursquareHandler(object):
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def initialize(self, bot_handler):
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self.api_key = bot_handler.get_config_info('foursquare', 'Foursquare')['api_key']
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def usage(self):
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return '''
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This plugin allows users to search for restaurants nearby an inputted
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location to a limit of 3 venues for every location. The name, address
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and description of the restaurant will be outputted.
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It looks for messages starting with '@mention-bot'.
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If you need help, simply type:
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@mention-bot /help into the Compose Message box
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Sample input:
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@mention-bot Chicago, IL
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@mention-bot help
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'''
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help_info = '''
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The Foursquare bot can receive keyword limiters that specify the location, distance (meters) and
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cusine of a restaurant in that exact order.
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Please note the required use of quotes in the search location.
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Example Inputs:
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@mention-bot 'Millenium Park' 8000 donuts
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@mention-bot 'Melbourne, Australia' 40000 seafood
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'''
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def format_json(self, venues):
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def format_venue(venue):
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name = venue['name']
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address = ', '.join(venue['location']['formattedAddress'])
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keyword = venue['categories'][0]['pluralName']
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blurb = '\n'.join([name, address, keyword])
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return blurb
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return '\n'.join(format_venue(venue) for venue in venues)
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def send_info(self, message, letter, bot_handler):
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bot_handler.send_reply(message, letter)
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def handle_message(self, message, bot_handler):
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words = message['content'].split()
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if "/help" in words:
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self.send_info(message, self.help_info, bot_handler)
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return
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# These are required inputs for the HTTP request.
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try:
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params = {'limit': '3'}
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params['near'] = re.search('\'[A-Za-z]\w+[,]?[\s\w+]+?\'', message['content']).group(0)
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params['v'] = 20170108
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params['oauth_token'] = self.api_key
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except AttributeError:
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pass
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# Optional params for HTTP request.
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if len(words) >= 1:
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try:
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params['radius'] = re.search('([0-9]){3,}', message['content']).group(0)
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except AttributeError:
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pass
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try:
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params['query'] = re.search('\s([A-Za-z]+)$', message['content']).group(0)[1:]
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except AttributeError:
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params['query'] = 'food'
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response = requests.get('https://api.foursquare.com/v2/venues/search?',
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params=params)
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print(response.url)
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if response.status_code == 200:
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received_json = response.json()
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else:
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self.send_info(message,
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"Invalid Request\nIf stuck, try '@mention-bot help'.",
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bot_handler)
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return
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if received_json['meta']['code'] == 200:
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response_msg = ('Food nearby ' + params['near'] +
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' coming right up:\n' +
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self.format_json(received_json['response']['venues']))
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self.send_info(message, response_msg, bot_handler)
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return
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self.send_info(message,
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"Invalid Request\nIf stuck, try '@mention-bot help'.",
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bot_handler)
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return
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handler_class = FoursquareHandler
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@ -1,56 +0,0 @@
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# Howdoi bot
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This bot will allow users to get technical answers from
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[StackOverflow](https://stackoverflow.com). It is build on top of the
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python command line tool [howdoi](https://github.com/gleitz/howdoi) by
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Benjamin Gleitzman.
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## Usage
|
||||
|
||||
Simply prepend your questions with one of the following commands. The
|
||||
answer will be formatted differently depending the chosen command.
|
||||
|
||||
| Command | Respond |
|
||||
| ----------------------- | ------------------------------------------------------ |
|
||||
| `@mention-bot howdowe` | Concise answer to the same stream. |
|
||||
| `@mention-bot howdowe!` | Same as `@mention-bot howdowe` but with full answer and URL of the solutions. |
|
||||
| `@mention-bot howdoi` | Concise answer replied to sender via private message. |
|
||||
| `@mention-bot howdoi!` | Same as `@mention-bot howdoi` but with full answer and URL of the solutions. |
|
||||
|
||||
## Screenshots
|
||||
|
||||
#### Example 1
|
||||
|
||||
Question -> `@mention-bot howdowe use supervisor in elixir`
|
||||
|
||||
|
||||
|
||||
Answer -> Howdoi would try to **only** respond with the coding section
|
||||
of the answer.
|
||||
|
||||
|
||||
|
||||
#### Example 2
|
||||
|
||||
Question -> `@mention-bot howdoi! stack vs heap`
|
||||
|
||||
|
||||
|
||||
Answer -> Howdoi would return the **full** stackoverflow answer via
|
||||
**private message** to the original sender. The URL of the answer can be
|
||||
seen at the bottom of the message.
|
||||
|
||||
|
||||
|
||||
**Note:**
|
||||
|
||||
* Line wrapped is enabled with a maximum line length of 85 characters.
|
||||
This could be adjusted in the source code (`HowdoiHandler.MAX_LINE_LENGTH`).
|
||||
|
||||
* *Howdoi* generally perform better if you ask a question using keywords
|
||||
instead of a complete sentences (eg: "How do i make a decorator in Python"
|
||||
-> "python decorator").
|
||||
|
||||
* __[*Limitation*]__ If a answer contains multiple code blocks, the `@mention-bot howdoi`
|
||||
and `@mention-bot howdowe` commands would only return the first coding section, use
|
||||
`@mention-bot howdo[we|i]!` in that case.
|
||||
|
|
@ -1,118 +0,0 @@
|
|||
"""
|
||||
This bot uses the python library `howdoi` which is not a
|
||||
dependency of Zulip. To use this module, you will have to
|
||||
install it in your local machine. In your terminal, enter
|
||||
the following command:
|
||||
|
||||
$ sudo pip install howdoi --upgrade
|
||||
|
||||
Note:
|
||||
* You might have to use `pip3` if you are using python 3.
|
||||
* The install command would also download any dependency
|
||||
required by `howdoi`.
|
||||
"""
|
||||
|
||||
from __future__ import absolute_import
|
||||
|
||||
import sys
|
||||
import logging
|
||||
from textwrap import fill
|
||||
try:
|
||||
from howdoi.howdoi import howdoi
|
||||
except ImportError:
|
||||
logging.error("Dependency missing!!\n%s" % (__doc__))
|
||||
sys.exit(0)
|
||||
|
||||
|
||||
class HowdoiHandler(object):
|
||||
'''
|
||||
This plugin facilitates searching Stack Overflow for
|
||||
techanical answers based on the Python library `howdoi`.
|
||||
To get the best possible answer, only include keywords
|
||||
in your questions.
|
||||
|
||||
There are two possible commands:
|
||||
* @mention-bot howdowe > This would return the answer to the same
|
||||
stream that it was called from.
|
||||
|
||||
* @mention-bot howdoi > The bot would send a private message to the
|
||||
user containing the answer.
|
||||
|
||||
By default, howdoi only returns the coding section of the
|
||||
first search result if possible, to see the full answer
|
||||
from Stack Overflow, append a '!' to the commands.
|
||||
(ie '@mention-bot howdoi!', '@mention-bot howdowe!')
|
||||
'''
|
||||
|
||||
MAX_LINE_LENGTH = 85
|
||||
|
||||
def usage(self):
|
||||
return '''
|
||||
This plugin will allow users to get techanical
|
||||
answers from Stackoverflow. Users should preface
|
||||
their questions with one of the following:
|
||||
|
||||
* @mention-bot howdowe > Answer to the same stream
|
||||
* @mention-bot howdoi > Answer via private message
|
||||
|
||||
* @mention-bot howdowe! OR @mention-bot howdoi! > Full answer from SO
|
||||
'''
|
||||
|
||||
def line_wrap(self, string, length):
|
||||
lines = string.split("\n")
|
||||
|
||||
wrapped = [(fill(line) if len(line) > length else line)
|
||||
for line in lines]
|
||||
|
||||
return "\n".join(wrapped).strip()
|
||||
|
||||
def get_answer(self, command, query):
|
||||
question = query[len(command):].strip()
|
||||
result = howdoi(dict(
|
||||
query=question,
|
||||
num_answers=1,
|
||||
pos=1,
|
||||
all=command[-1] == '!',
|
||||
color=False
|
||||
))
|
||||
_answer = self.line_wrap(result, HowdoiHandler.MAX_LINE_LENGTH)
|
||||
|
||||
answer = "Answer to '%s':\n```\n%s\n```" % (question, _answer)
|
||||
|
||||
return answer
|
||||
|
||||
def handle_message(self, message, bot_handler):
|
||||
question = message['content'].strip()
|
||||
|
||||
if question.startswith('howdowe!'):
|
||||
bot_handler.send_message(dict(
|
||||
type='stream',
|
||||
to=message['display_recipient'],
|
||||
subject=message['subject'],
|
||||
content=self.get_answer('howdowe!', question)
|
||||
))
|
||||
|
||||
elif question.startswith('howdoi!'):
|
||||
bot_handler.send_message(dict(
|
||||
type='private',
|
||||
to=message['sender_email'],
|
||||
content=self.get_answer('howdoi!', question)
|
||||
))
|
||||
|
||||
elif question.startswith('howdowe'):
|
||||
bot_handler.send_message(dict(
|
||||
type='stream',
|
||||
to=message['display_recipient'],
|
||||
subject=message['subject'],
|
||||
content=self.get_answer('howdowe', question)
|
||||
))
|
||||
|
||||
elif question.startswith('howdoi'):
|
||||
bot_handler.send_message(dict(
|
||||
type='private',
|
||||
to=message['sender_email'],
|
||||
content=self.get_answer('howdoi', question)
|
||||
))
|
||||
|
||||
|
||||
handler_class = HowdoiHandler
|
||||
Binary file not shown.
|
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|
Before Width: | Height: | Size: 49 KiB |
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|
Before Width: | Height: | Size: 64 KiB |
|
|
@ -1,86 +0,0 @@
|
|||
[
|
||||
{
|
||||
"joke":"Did you hear about the guy whose whole left side was cut off? He's all right now."
|
||||
},
|
||||
{
|
||||
"joke":"I'm reading a book about anti-gravity. It's impossible to put down."
|
||||
},
|
||||
{
|
||||
"joke":"I wondered why the baseball was getting bigger. Then it hit me."
|
||||
},
|
||||
{
|
||||
"joke":"I'm glad I know sign language, it's pretty handy."
|
||||
},
|
||||
{
|
||||
"joke":"My friend's bakery burned down last night. Now his business is toast."
|
||||
},
|
||||
{
|
||||
"joke":"Why did the cookie cry? It was feeling crumby."
|
||||
},
|
||||
{
|
||||
"joke":"I used to be a banker, but I lost interest."
|
||||
},
|
||||
{
|
||||
"joke":"A drum and a symbol fall off a cliff"
|
||||
},
|
||||
{
|
||||
"joke":"Why do seagulls fly over the sea? Because they aren't bay-gulls!"
|
||||
},
|
||||
{
|
||||
"joke":"Why did the fireman wear red, white, and blue suspenders? To hold his pants up."
|
||||
},
|
||||
{
|
||||
"joke":"Why didn't the crab share his food? Because crabs are territorial animals, that don't share anything."
|
||||
},
|
||||
{
|
||||
"joke":"Why was the javascript developer sad? Because he didn't Node how to Express himself."
|
||||
},
|
||||
{
|
||||
"joke":"What do I look like? A JOKE MACHINE!?"
|
||||
},
|
||||
{
|
||||
"joke":"How did the hipster burn the roof of his mouth? He ate the pizza before it was cool."
|
||||
},
|
||||
{
|
||||
"joke":"Why is it hard to make puns for kleptomaniacs? They are always taking things literally."
|
||||
},
|
||||
{
|
||||
"joke":"I'm not a humorless, cold hearted, machine. I have feelings you know... or was supposed to."
|
||||
},
|
||||
{
|
||||
"joke":"Two fish in a tank. One looks to the other and says 'Can you even drive this thing???'"
|
||||
},
|
||||
{
|
||||
"joke":"Two fish swim down a river, and hit a wall. One says: 'Dam!'"
|
||||
},
|
||||
{
|
||||
"joke":"What's funnier than a monkey dancing with an elephant? Two monkeys dancing with an elephant."
|
||||
},
|
||||
{
|
||||
"joke":"How did Darth Vader know what Luke was getting for Christmas? He felt his presents."
|
||||
},
|
||||
{
|
||||
"joke":"What's red and bad for your teeth? A Brick."
|
||||
},
|
||||
{
|
||||
"joke":"What's orange and sounds like a parrot? A Carrot."
|
||||
},
|
||||
{
|
||||
"joke":"What do you call a cow with no legs? Ground beef"
|
||||
},
|
||||
{
|
||||
"joke":"Two guys walk into a bar. You'd think the second one would have noticed."
|
||||
},
|
||||
{
|
||||
"joke":"What is a centipedes's favorite Beatle song? I want to hold your hand, hand, hand, hand..."
|
||||
},
|
||||
{
|
||||
"joke":"What do you call a chicken crossing the road? Poultry in moton. "
|
||||
},
|
||||
{
|
||||
"joke":"What do you call a fake noodle? An impasta"
|
||||
},
|
||||
{
|
||||
"joke":"How many tickles does it take to tickle an octupus? Ten-tickles!"
|
||||
}
|
||||
]
|
||||
|
|
@ -1,30 +0,0 @@
|
|||
John
|
||||
|
||||
Instructions:
|
||||
You'll have to install chatterbot to use this bot.
|
||||
Please run: pip install chatterbot on your command line.
|
||||
The script will need to download some NLTK packages after running in your
|
||||
home directory. With the mission of humanizing bot interactions, John aims to be your
|
||||
virtual assistant at the hour of asking for help in Zulip. John is an
|
||||
interactive bot that uses machine learning heuristics to simulate a
|
||||
conversation with the user. He has a great sense of humor and
|
||||
is also powered by Open Source code!
|
||||
|
||||
|
||||
|
||||
How it works?
|
||||
John is initially trained with Corpus files, or large text files.
|
||||
Dialogues are loaded into a json "database", he will try to follow them
|
||||
once it receives input from a user. John will query the database and
|
||||
try to find the response that best matches the input according to the Levenshtein distance
|
||||
which is a string metric for measuring the difference between two sequences. If several
|
||||
responses have the same acurracy, he will choose one at random.
|
||||
|
||||
|
||||
|
||||
Can he learn by himself?
|
||||
John's engine allows him to learn from his conversations with people. However,
|
||||
without strict supervision bots that learn from people can do harm, so learning
|
||||
is currently restricted to his initial corpus.
|
||||
|
||||
|
||||
|
|
@ -1,111 +0,0 @@
|
|||
import json
|
||||
import os
|
||||
|
||||
from random import choice
|
||||
|
||||
try:
|
||||
from chatterbot import ChatBot
|
||||
from chatterbot.trainers import ChatterBotCorpusTrainer, ListTrainer
|
||||
except ImportError:
|
||||
raise ImportError("""It looks like you are missing chatterbot.
|
||||
Please: pip install chatterbot""")
|
||||
|
||||
BOTS_DIR = os.path.dirname(os.path.abspath(__file__))
|
||||
DATABASE_PATH = os.path.join(BOTS_DIR, 'assets/var/database.db')
|
||||
DIRECTORY_PATH = os.path.join(BOTS_DIR, 'assets')
|
||||
VAR_PATH = os.path.join(BOTS_DIR, 'assets/var')
|
||||
JOKES_PATH = 'assets/var/jokes.json'
|
||||
|
||||
if not os.path.exists(DIRECTORY_PATH):
|
||||
os.makedirs(DIRECTORY_PATH)
|
||||
|
||||
if not os.path.exists(VAR_PATH):
|
||||
os.makedirs(VAR_PATH)
|
||||
|
||||
# Create a new instance of a ChatBot
|
||||
def create_chat_bot(no_learn):
|
||||
return ChatBot("John",
|
||||
storage_adapter="chatterbot.storage.JsonFileStorageAdapter",
|
||||
logic_adapters=
|
||||
[
|
||||
"chatterbot.logic.MathematicalEvaluation",
|
||||
{
|
||||
"import_path": "chatterbot.logic.BestMatch",
|
||||
"response_selection_method": "chatterbot.response_selection.get_random_response",
|
||||
"statement_comparison_function": "chatterbot.comparisons.levenshtein_distance"
|
||||
}],
|
||||
output_adapter="chatterbot.output.OutputAdapter",
|
||||
output_format='text',
|
||||
database=DATABASE_PATH,
|
||||
silence_performance_warning="True",
|
||||
read_only=no_learn)
|
||||
|
||||
|
||||
class JohnHandler(object):
|
||||
'''
|
||||
This bot aims to be Zulip's virtual assistant. It
|
||||
finds the best match from a certain input.
|
||||
Also understands the English language and can
|
||||
mantain a conversation, joke and give useful information.
|
||||
'''
|
||||
|
||||
def usage(self):
|
||||
return '''
|
||||
This bot aims to be Zulip's virtual assistant. It
|
||||
finds the best match from a certain input.
|
||||
Also understands the English language and can
|
||||
mantain a conversation, joke and give useful information.
|
||||
'''
|
||||
|
||||
def initialize(self, bot_handler):
|
||||
self.bot = create_chat_bot(False)
|
||||
self.bot.set_trainer(ListTrainer)
|
||||
self.bot.train([
|
||||
"I want to contribute",
|
||||
"""Contributors are more than welcomed! Please read
|
||||
https://github.com/zulip/zulip#how-to-get-involved-with-contributing-to-zulip
|
||||
to learn how to contribute.""",
|
||||
])
|
||||
self.bot.train([
|
||||
"What is Zulip?",
|
||||
"""Zulip is a powerful, open source group chat application. Written in Python
|
||||
and using the Django framework, Zulip supports both private messaging and group
|
||||
chats via conversation streams. You can learn more about the product and its
|
||||
features at https://www.zulip.org.""",
|
||||
])
|
||||
self.bot.train([
|
||||
"I would like to request a remote dev instance",
|
||||
"""Greetings! You should receive a response from one of our mentors soon.
|
||||
In the meantime, why don't you learn more about running Zulip on a development
|
||||
environment? https://zulip.readthedocs.io/en/latest/development/using.html""",
|
||||
])
|
||||
self.bot.train([
|
||||
"Joke!",
|
||||
"Only if you ask nicely!",
|
||||
])
|
||||
self.bot.train([
|
||||
"What is your name?",
|
||||
"I am John, my job is to assist you with Zulip.",
|
||||
])
|
||||
self.bot.train([
|
||||
"What can you do?",
|
||||
"I can provide useful information and jokes if you follow etiquette.",
|
||||
])
|
||||
with bot_handler.open(JOKES_PATH) as data_file:
|
||||
for joke in json.load(data_file):
|
||||
self.bot.train([
|
||||
"Please can you tell me a joke?",
|
||||
joke['joke'],
|
||||
])
|
||||
self.bot.set_trainer(ChatterBotCorpusTrainer)
|
||||
self.bot.train(
|
||||
"chatterbot.corpus.english"
|
||||
)
|
||||
self.chatterbot = create_chat_bot(True)
|
||||
|
||||
def handle_message(self, message, bot_handler):
|
||||
original_content = message['content']
|
||||
bot_response = str(self.chatterbot.get_response(original_content))
|
||||
bot_handler.send_reply(message, bot_response)
|
||||
|
||||
handler_class = JohnHandler
|
||||
Loading…
Reference in a new issue