import requests
import json
import re

class VectaraQuery():
    def __init__(self, api_key: str, customer_id: str, corpus_ids: list[str], prompt_name: str = None):
        self.customer_id = customer_id
        self.corpus_ids = corpus_ids
        self.api_key = api_key
        self.prompt_name = prompt_name if prompt_name else "vectara-experimental-summary-ext-2023-12-11-sml"

    def get_body(self, query_str: str):
        corpora_key_list = [{
                'customer_id': self.customer_id, 'corpus_id': corpus_id, 'lexical_interpolation_config': {'lambda': 0.005}
            } for corpus_id in self.corpus_ids
        ]
        return {
            'query': [
                { 
                    'query': query_str,
                    'start': 0,
                    'numResults': 10,
                    'corpusKey': corpora_key_list,
                    'context_config': {
                        'sentences_before': 2,
                        'sentences_after': 2,
                        'start_tag': "%START_SNIPPET%",
                        'end_tag': "%END_SNIPPET%",
                    },
                    'rerankingConfig': { 'rerankerId': 272725719 }
                } 
            ]
        }

    def get_headers(self):
        return {
            "Content-Type": "application/json",
            "Accept": "application/json",
            "customer-id": self.customer_id,
            "x-api-key": self.api_key,
            "grpc-timeout": "60S"
        }

    def submit_query(self, query_str: str):

        endpoint = "https://api.vectara.io/v1/query"
        body = self.get_body(query_str)

        response = requests.post(endpoint, data=json.dumps(body), verify=True, headers=self.get_headers())    
        if response.status_code != 200:
            print(f"Query failed with code {response.status_code}, reason {response.reason}, text {response.text}")
            return "Sorry, something went wrong in my brain. Please try again later."

        res = response.json()
        top_k = 3
        responses = res['responseSet'][0]['response'][:top_k]
        documents = res['responseSet'][0]['document']


        metadatas = []
        for x in responses:
            md = {m["name"]: m["value"] for m in x["metadata"]}
            doc_num = x["documentIndex"]
            doc_md = {f'doc_{m["name"]}': m["value"] for m in documents[doc_num]["metadata"]}
            md.update(doc_md)
            metadatas.append(md)

        movie_title = metadatas[0].get("doc_title", None)
        snippet_url = metadatas[0].get("url", None)
        score = responses[0]["score"]

        return movie_title, snippet_url, score