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('intent-classification', "easier") # run_simulated_request('intent-classification', "easy") # run_simulated_request('intent-classification', "harder") # run_simulated_request('intent-classification', "hard") # run_simulated_request('intent-classification', "hint") # run_simulated_request('intent-classification', "hin") # run_simulated_request('intent-classification', "hnt") # run_simulated_request('intent-classification', "stop") # run_simulated_request('intent-classification', "stp") # run_simulated_request('intent-classification', "sop") # run_simulated_request('intent-classification', "please stop") # 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('nlu', 'hin') run_simulated_request('nlu', 'exi') run_simulated_request('nlu', 'easier') run_simulated_request('nlu', 'stp') run_simulated_request('nlu', '') # run_simulated_request('manager', '') # run_simulated_request('manager', 'add') # run_simulated_request('manager', 'subtract') # run_simulated_request("start", { # 'difficulty': 0.04, # 'do_increase': True # }) # run_simulated_request("hint", { # 'start': 5, # 'step': 1, # 'difficulty': 0.56 # optional # }) # run_simulated_request("question", { # 'start': 2, # 'step': 1, # 'question_num': 2 # optional # }) # run_simulated_request("difficulty", { # 'difficulty': 0.01, # 'do_increase': False # True | False # }) # Need to start with this command to populate users.json # If users.json is not already made # run_simulated_request("num_one", { # "user_id": "1", # "message_text": "", # }) # run_simulated_request("num_one", { # "user_id": "1", # "message_text": "61", # }) # run_simulated_request("sequence", { # 'start': 2, # 'step': 1, # 'sep': '... ' # }) # 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' # }