ADAPTER = BotFrameworkAdapter(SETTINGS)
# Catch-all for errors.
async def on_error(context: TurnContext, error: Exception):
# This check writes out errors to console log
# NOTE: In production environment, you should consider logging this to Azure
# application insights.
print(f'\n [on_turn_error]: { error }', file=sys.stderr)
# Send a message to the user
await context.send_activity('Oops. Something went wrong!')
# Clear out state
await conversation_state.delete(context)
ADAPTER.on_turn_error = on_error
# Create MemoryStorage, UserState and ConversationState
memory = MemoryStorage()
user_state = UserState(memory)
conversation_state = ConversationState(memory)
bot = StateManagementBot(conversation_state, user_state)
async def messages(req: web.Request) -> web.Response:
body = await req.json()
activity = Activity().deserialize(body)
auth_header = req.headers[
'Authorization'] if 'Authorization' in req.headers else ''
# Send a trace activity if we're talking to the Bot Framework Emulator
if context.activity.channel_id == "emulator":
# Create a trace activity that contains the error object
trace_activity = Activity(
label="TurnError",
name="on_turn_error Trace",
timestamp=datetime.utcnow(),
type=ActivityTypes.trace,
value=f"{error}",
value_type="https://www.botframework.com/schemas/error",
)
# Send a trace activity, which will be displayed in Bot Framework Emulator
await context.send_activity(trace_activity)
adapter.on_turn_error = on_error
tbs = taiwan_bot_sheet.TaiwanBotSheet()
memory = MemoryStorage()
conversation_state = ConversationState(memory)
bot = FAQBot(tbs, conversation_state)
app = FastAPI()
@app.get("/healthcheck")
def healthcheck():
# for https://cron-job.org/ to keep heroku alive
return {"message": "I'm alive and well! Thank you!"}
@app.get("/sheet")
"To continue to run this bot, please fix the bot source code.")
# Send a trace activity if we're talking to the Bot Framework Emulator
if context.activity.channel_id == 'emulator':
# Create a trace activity that contains the error object
trace_activity = Activity(
label="TurnError",
name="on_turn_error Trace",
timestamp=datetime.utcnow(),
type=ActivityTypes.trace,
value=f"{error}",
value_type="https://www.botframework.com/schemas/error")
# Send a trace activity, which will be displayed in Bot Framework Emulator
await context.send_activity(trace_activity)
ADAPTER.on_turn_error = MethodType(on_error, ADAPTER)
# Create the main dialog
BOT = MyBot()
# Listen for incoming requests on /api/messages.
@APP.route("/api/messages", methods=["POST"])
def messages():
# Main bot message handler.
if "application/json" in request.headers["Content-Type"]:
body = request.json
else:
return Response(status=415)
activity = Activity().deserialize(body)
from bots.courses_bot.course_recognizer import CourseRecognizer
from bots.courses_bot.data_models.course import Course
from bots.courses_bot.dialogs.student_profile_dialog import StudentProfileDialog
from bots.echo_bot.bot import EchoBot
from config import DefaultConfig
CONFIG = DefaultConfig()
MEMORY = MemoryStorage()
USER_STATE = UserState(MEMORY)
CONVERSATION_STATE = ConversationState(MEMORY)
SETTINGS = BotFrameworkAdapterSettings(CONFIG.APP_ID, CONFIG.APP_PASSWORD)
ADAPTER = BotFrameworkAdapter(SETTINGS)
ADAPTER.on_turn_error = Bot.handle_bot_errors
# Create Echo Bot
ECHO_BOT = EchoBot(ADAPTER)
# Load course info
COURSE = Course.load_courses(CONFIG)
# LUIS Recognizer
LUIS_RECOGNIZER = CourseRecognizer(CONFIG)
# Create Courses Bot
COURSES_BOT = CoursesBot(
ADAPTER, USER_STATE, CONVERSATION_STATE,
StudentProfileDialog(USER_STATE, COURSE, LUIS_RECOGNIZER), COURSE)
