import json
from kb import getkb, get_response
from dotenv import load_dotenv
from whatsapp_client import WhatsAppWrapper

load_dotenv()

data = """{
  "object": "whatsapp_business_account",
  "entry": [
    {
      "id": "270451259495375",
      "changes": [
        {
          "value": {
            "messaging_product": "whatsapp",
            "metadata": {
              "display_phone_number": "15556024077",
              "phone_number_id": "297527496785471"
            },
            "contacts": [
              {
                "profile": {
                  "name": "Eric Landry"
                },
                "wa_id": "15127404620"
              }
            ],
            "messages": [
              {
                "from": "15127404620",
                "id": "wamid.HBgLMTUxMjc0MDQ2MjAVAgASGBQzQTEyQTM0OURGQUI4QzZDNTg2MAA=",
                "timestamp": "1716933996",
                "text": {
                  "body": "how do i get tested for prostate cancer?"
                },
                "type": "text"
              }
            ]
          },
          "field": "messages"
        }
      ]
    }
  ]
}"""

data = json.loads(data)
value = data['entry'][0]['changes'][0]['value']

def main():
    vectorstore = getkb()
    if 'messages' in value and 'from' in value['messages'][0] and 'text' in value['messages'][0]:
        message = value['messages'][0]
        name = value['contacts'][0]['profile']['name']
        phone_num = message['from']
        mesg_body = message['text']['body']
        
        context = '\n'.join([doc[0].page_content for doc in vectorstore.similarity_search_with_score(mesg_body, k=6)])
        response = get_response(mesg_body, context, name)
        print(f"RESPONSE: {response}")
        client = WhatsAppWrapper()
        client.send_text_message("hello, right back at ya ..." + response,  phone_num)

if __name__ == "__main__":
    main()