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import json | |
import requests | |
def add_message_text_to_sample_object(message_text): | |
""" | |
Builds a sample request object using an example of a student answer | |
Input | |
- message_text: str - an example of user input to test | |
Example Input | |
"test message" | |
Output | |
- b_string: json b-string - simulated Turn.io message data | |
Example Output | |
b'{"context": "hi", "message_data": {"author_id": "+57787919091", "author_type": "OWNER", "contact_uuid": "j43hk26-2hjl-43jk-hnk2-k4ljl46j0ds09", "message_body": "test message", "message_direction": "inbound", "message_id": "4kl209sd0-a7b8-2hj3-8563-3hu4a89b32", "message_inserted_at": "2023-01-10T02:37:28.477940Z", "message_updated_at": "2023-01-10T02:37:28.487319Z"}}' | |
""" | |
message_data = '{' + f'"author_id": "+57787919091", "author_type": "OWNER", "contact_uuid": "j43hk26-2hjl-43jk-hnk2-k4ljl46j0ds09", "message_body": "{message_text}", "message_direction": "inbound", "message_id": "4kl209sd0-a7b8-2hj3-8563-3hu4a89b32", "message_inserted_at": "2023-01-10T02:37:28.477940Z", "message_updated_at": "2023-01-10T02:37:28.487319Z"' + '}' | |
# context_data = '{' + '"user":"", "state":"addition-question-sequence", "bot_message":"", "user_message":"{message_text}"' + '}' | |
# V1 | |
# context_data = '{' + '"user":"", "state":"start-conversation", "bot_message":"", "user_message":"{message_text}"' + '}' | |
#V2 | |
context_data = '{' + '"contact_uuid": "j43hk26-2hjl-43jk-hnk2-k4ljl46j0ds09", "current_state":"", "local_state": "", "user_message":""' + '}' | |
# context_data = '{' + '"user":"", "state":"addition-question-sequence", "bot_message":"", "user_message":"{message_text}","text": "What is 2+3?","question_numbers": [4,3],"right_answer": 7,"number_correct": 2, "number_incorrect": 0, "hints_used": 0, "level": "easy"' + '}' | |
json_string = '{' + f'"context_data": {context_data}, "message_data": {message_data}' + '}' | |
b_string = json_string.encode("utf-8") | |
return b_string | |
# """ | |
# "text": "What is 2+3?", | |
# "question_numbers": [2,3], | |
# "right_answer": 5, | |
# "number_correct": 2, | |
# "hints_used": 0, | |
# """ | |
def run_simulated_request(endpoint, sample_answer, context=None): | |
print(f"Case: {sample_answer}") | |
b_string = add_message_text_to_sample_object(sample_answer) | |
if endpoint == 'sentiment-analysis' or endpoint == 'text2int' or endpoint =='intent-classification': | |
request = requests.post( | |
url=f'http://localhost:7860/{endpoint}', | |
json={'content': sample_answer} | |
).json() | |
else: | |
request = requests.post( | |
url=f'http://localhost:7860/{endpoint}', | |
data=b_string | |
).json() | |
print(request) | |
# run_simulated_request('intent-classification', 'exit') | |
# run_simulated_request('intent-classification', "I'm not sure") | |
# run_simulated_request('sentiment-analysis', 'I reject it') | |
# run_simulated_request('text2int', 'seven thousand nine hundred fifty seven') | |
# run_simulated_request('nlu', 'test message') | |
# run_simulated_request('nlu', 'eight') | |
# run_simulated_request('nlu', 'is it 8') | |
# run_simulated_request('nlu', 'can I know how its 0.5') | |
# run_simulated_request('nlu', 'eight, nine, ten') | |
# run_simulated_request('nlu', '8, 9, 10') | |
# run_simulated_request('nlu', '8') | |
# run_simulated_request('nlu', "I don't know") | |
# run_simulated_request('nlu', "I don't know eight") | |
# run_simulated_request('nlu', "I don't 9") | |
# run_simulated_request('nlu', "0.2") | |
# run_simulated_request('nlu', 'Today is a wonderful day') | |
# run_simulated_request('nlu', 'IDK 5?') | |
run_simulated_request('v2/manager', '') | |
run_simulated_request('v2/manager', '5') | |
# run_simulated_request('manager', '') | |
# run_simulated_request('manager', 'add') | |
# run_simulated_request('manager', 'subtract') | |
# run_simulated_request("question", { | |
# 'number_correct': 0, | |
# 'number_incorrect': 0, | |
# 'level': 'easy' | |
# }) | |
# run_simulated_request("hint", { | |
# 'question_numbers': [1, 2, 3], | |
# 'right_answer': 3, | |
# 'number_correct': 0, | |
# 'number_incorrect': 0, | |
# 'level': 'easy', | |
# 'hints_used': 0 | |
# }) | |
# run_simulated_request("generate_question", { | |
# 'level': 'medium' | |
# }) | |
# run_simulated_request("numbers_by_level", { | |
# 'level': 'medium' | |
# }) | |
# run_simulated_request("number_sequence", { | |
# "current_number": 10, | |
# "ordinal_number": 2, | |
# "times": 1 | |
# }) | |
# run_simulated_request("level", { | |
# "current_level": "hard", | |
# "level_up": False | |
# }) | |
# run_simulated_request('manager', 'exit') | |
# Example of simplified object received from Turn.io stacks | |
# This is a contrived example to show the structure, not an actual state | |
# NOTE: This is actually a bstring, not a dict | |
simplified_json = { | |
"context": { | |
"user": "+57787919091", | |
"state": "answer-addition-problem", | |
"bot_message": "What is 2+2?", | |
"user_message": "eight", | |
"type": "ask" | |
}, | |
"message_data": { | |
"author_id": "+57787919091", | |
"author_type": "OWNER", | |
"contact_uuid": "j43hk26-2hjl-43jk-hnk2-k4ljl46j0ds09", | |
"message_body": "eight", | |
"message_direction": "inbound", | |
"message_id": "4kl209sd0-a7b8-2hj3-8563-3hu4a89b32", | |
"message_inserted_at": "2023-01-10T02:37:28.477940Z", | |
"message_updated_at": "2023-01-10T02:37:28.487319Z" | |
} | |
} | |
# Full example of event data from Turn.io | |
# simplified_json is built from this in Turn.io | |
# full_json = { | |
# 'message': { | |
# '_vnd': { | |
# 'v1': { | |
# 'author': { | |
# 'id': 57787919091, | |
# 'name': 'GT', | |
# 'type': 'OWNER' | |
# }, | |
# 'card_uuid': None, | |
# 'chat': { | |
# 'assigned_to': { | |
# 'id': 'jhk151kl-hj42-3752-3hjk-h4jk6hjkk2', | |
# 'name': 'Greg Thompson', | |
# 'type': 'OPERATOR' | |
# }, | |
# 'contact_uuid': 'j43hk26-2hjl-43jk-hnk2-k4ljl46j0ds09', | |
# 'inserted_at': '2022-07-05T04:00:34.033522Z', | |
# 'owner': '+57787919091', | |
# 'permalink': 'https://app.turn.io/c/4kl209sd0-a7b8-2hj3-8563-3hu4a89b32', | |
# 'state': 'OPEN', | |
# 'state_reason': 'Re-opened by inbound message.', | |
# 'unread_count': 19, | |
# 'updated_at': '2023-01-10T02:37:28.487319Z', | |
# 'uuid': '4kl209sd0-a7b8-2hj3-8563-3hu4a89b32' | |
# }, | |
# 'direction': 'inbound', | |
# 'faq_uuid': None, | |
# 'in_reply_to': None, | |
# 'inserted_at': '2023-01-10T02:37:28.477940Z', | |
# 'labels': [{ | |
# 'confidence': 0.506479332, | |
# 'metadata': { | |
# 'nlu': { | |
# 'confidence': 0.506479332, | |
# 'intent': 'question', | |
# 'model_name': 'nlu-general-spacy-ngrams-20191014' | |
# } | |
# }, | |
# 'uuid': 'ha7890s2k-hjk2-2476-s8d9-fh9779a8a9ds', | |
# 'value': 'Unclassified' | |
# }], | |
# 'last_status': None, | |
# 'last_status_timestamp': None, | |
# 'on_fallback_channel': False, | |
# 'rendered_content': None, | |
# 'uuid': 's8df79zhws-h89s-hj23-7s8d-thb248d9bh2qn' | |
# } | |
# }, | |
# 'from': 57787919091, | |
# 'id': 'hsjkthzZGehkzs09sijWA3', | |
# 'text': {'body': 'eight'}, | |
# 'timestamp': 1673318248, | |
# 'type': 'text' | |
# }, | |
# 'type': 'message' | |
# } | |