Spaces:
Runtime error
Runtime error
Merge branch 'main' into 'vlad'
Browse files- mathtext_fastapi/conversation_manager.py +46 -15
- mathtext_fastapi/nlu.py +24 -32
- requirements.txt +1 -0
- scripts/make_request.py +13 -8
mathtext_fastapi/conversation_manager.py
CHANGED
@@ -116,6 +116,25 @@ def manage_math_quiz_fsm(user_message, contact_uuid, type):
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contact_uuid
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).execute()
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if fsm_check.data == []:
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if type == 'addition':
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math_quiz_state_machine = MathQuizFSM()
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@@ -128,7 +147,22 @@ def manage_math_quiz_fsm(user_message, contact_uuid, type):
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'contact_uuid': contact_uuid,
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f'{type}': dump_encoded
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}).execute()
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-
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undump_encoded = base64.b64decode(
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fsm_check.data[0][type].encode('utf-8')
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)
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@@ -217,24 +251,24 @@ def return_next_conversational_state(context_data, user_message, contact_uuid):
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# Used in FSM
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# messages = manage_math_quiz_fsm(user_message, contact_uuid)
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-
message_package, context_result = use_quiz_module_approach(user_message, context_data)
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if user_message == 'exit':
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state_label = 'exit'
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else:
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state_label = 'addition-question-sequence'
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# Used in FSM
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-
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message_package['state'] = state_label
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elif context_data['state'] == 'subtraction-question-sequence' or \
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user_message == 'subtract':
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@@ -323,9 +357,6 @@ def manage_conversation_response(data_json):
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contact_uuid
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)
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print("MESSAGE PACKAGE")
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print(message_package)
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-
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headers = {
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'Authorization': f"Bearer {os.environ.get('TURN_AUTHENTICATION_TOKEN')}",
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'Content-Type': 'application/json'
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contact_uuid
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).execute()
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# This doesn't allow for when one FSM is present and the other is empty
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"""
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1
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data=[] count=None
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2
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data=[{'id': 29, 'contact_uuid': 'j43hk26-2hjl-43jk-hnk2-k4ljl46j0ds09', 'addition3': None, 'subtraction': None, 'addition':
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+
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- but problem is there is no subtraction , but it's assuming there's a subtration
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Cases
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- make a completely new record
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- update an existing record with an existing FSM
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- update an existing record without an existing FSM
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"""
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# Make a completely new entry
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if fsm_check.data == []:
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if type == 'addition':
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math_quiz_state_machine = MathQuizFSM()
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'contact_uuid': contact_uuid,
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f'{type}': dump_encoded
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}).execute()
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# Update an existing record with a new state machine
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elif not fsm_check.data[0][type]:
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if type == 'addition':
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math_quiz_state_machine = MathQuizFSM()
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else:
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math_quiz_state_machine = MathSubtractionFSM()
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messages = [math_quiz_state_machine.response_text]
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dump_encoded = pickle_and_encode_state_machine(math_quiz_state_machine)
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SUPA.table('state_machines').update({
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f'{type}': dump_encoded
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}).eq(
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"contact_uuid", contact_uuid
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).execute()
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# Update an existing record with an existing state machine
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elif fsm_check.data[0][type]:
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undump_encoded = base64.b64decode(
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fsm_check.data[0][type].encode('utf-8')
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)
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# Used in FSM
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# messages = manage_math_quiz_fsm(user_message, contact_uuid)
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# message_package, context_result = use_quiz_module_approach(user_message, context_data)
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messages = manage_math_quiz_fsm(user_message, contact_uuid, 'addition')
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if user_message == 'exit':
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state_label = 'exit'
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else:
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state_label = 'addition-question-sequence'
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# Used in FSM
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input_prompt = messages.pop()
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message_package = {
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'messages': messages,
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'input_prompt': input_prompt,
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'state': state_label
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}
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# Used in quiz w/ hints
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# context_data = context_result
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# message_package['state'] = state_label
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elif context_data['state'] == 'subtraction-question-sequence' or \
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user_message == 'subtract':
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contact_uuid
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)
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headers = {
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'Authorization': f"Bearer {os.environ.get('TURN_AUTHENTICATION_TOKEN')}",
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'Content-Type': 'application/json'
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mathtext_fastapi/nlu.py
CHANGED
@@ -57,26 +57,25 @@ def run_sentiment_analysis(message_text):
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def evaluate_message_with_nlu(message_data):
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-
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if 32202 in student_response_arr:
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sentiment_api_resp = sentiment(message_text)
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nlu_response = build_nlu_response_object(
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'sentiment',
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@@ -84,18 +83,11 @@ def evaluate_message_with_nlu(message_data):
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sentiment_api_resp[0]['score']
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)
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else:
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)
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else:
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nlu_response = build_nlu_response_object(
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'integer',
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student_response_arr[0],
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''
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)
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prepare_message_data_for_logging(message_data, nlu_response)
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return nlu_response
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def evaluate_message_with_nlu(message_data):
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# Keeps system working with two different inputs - full and filtered @event object
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try:
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message_text = message_data['message_body']
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except KeyError:
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message_data = {
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'author_id': message_data['message']['_vnd']['v1']['chat']['owner'],
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'author_type': message_data['message']['_vnd']['v1']['author']['type'],
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'contact_uuid': message_data['message']['_vnd']['v1']['chat']['contact_uuid'],
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'message_body': message_data['message']['text']['body'],
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'message_direction': message_data['message']['_vnd']['v1']['direction'],
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'message_id': message_data['message']['id'],
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'message_inserted_at': message_data['message']['_vnd']['v1']['chat']['inserted_at'],
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'message_updated_at': message_data['message']['_vnd']['v1']['chat']['updated_at'],
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}
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message_text = message_data['message_body']
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number_api_resp = text2int(message_text.lower())
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if number_api_resp == 32202:
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sentiment_api_resp = sentiment(message_text)
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nlu_response = build_nlu_response_object(
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'sentiment',
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sentiment_api_resp[0]['score']
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)
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else:
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nlu_response = build_nlu_response_object(
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'integer',
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number_api_resp,
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''
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)
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prepare_message_data_for_logging(message_data, nlu_response)
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return nlu_response
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requirements.txt
CHANGED
@@ -1,4 +1,5 @@
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dill
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jsonpickle
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mathtext @ git+https://gitlab.com/tangibleai/community/mathtext@main
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fastapi==0.74.*
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dill
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en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.4.1/en_core_web_sm-3.4.1-py3-none-any.whl
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jsonpickle
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mathtext @ git+https://gitlab.com/tangibleai/community/mathtext@main
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fastapi==0.74.*
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scripts/make_request.py
CHANGED
@@ -60,14 +60,19 @@ def run_simulated_request(endpoint, sample_answer, context=None):
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# run_simulated_request('sentiment-analysis', 'I reject it')
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# run_simulated_request('text2int', 'seven thousand nine hundred fifty seven')
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-
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# run_simulated_request('manager', '')
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# run_simulated_request('manager', 'add')
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# run_simulated_request('manager', 'subtract')
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# run_simulated_request('sentiment-analysis', 'I reject it')
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# run_simulated_request('text2int', 'seven thousand nine hundred fifty seven')
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run_simulated_request('nlu', 'test message')
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run_simulated_request('nlu', 'eight')
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run_simulated_request('nlu', 'is it 8')
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run_simulated_request('nlu', 'can I know how its 0.5')
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run_simulated_request('nlu', 'eight, nine, ten')
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run_simulated_request('nlu', '8, 9, 10')
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run_simulated_request('nlu', '8')
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run_simulated_request('nlu', "I don't know")
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run_simulated_request('nlu', "I don't know eight")
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run_simulated_request('nlu', "I don't 9")
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run_simulated_request('nlu', "0.2")
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run_simulated_request('nlu', 'Today is a wonderful day')
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run_simulated_request('nlu', 'IDK 5?')
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# run_simulated_request('manager', '')
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# run_simulated_request('manager', 'add')
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# run_simulated_request('manager', 'subtract')
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