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| import requests | |
| import json | |
| 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" | |
| self.conv_id = None | |
| 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': 50, | |
| 'corpusKey': corpora_key_list, | |
| 'context_config': { | |
| 'sentences_before': 2, | |
| 'sentences_after': 2, | |
| 'start_tag': "%START_SNIPPET%", | |
| 'end_tag': "%END_SNIPPET%", | |
| }, | |
| 'rerankingConfig': | |
| { | |
| 'rerankerId': 272725719, | |
| }, | |
| 'summary': [ | |
| { | |
| 'responseLang': 'eng', | |
| 'maxSummarizedResults': 10, | |
| 'summarizerPromptName': self.prompt_name, | |
| 'chat': { | |
| 'store': True, | |
| 'conversationId': self.conv_id | |
| }, | |
| 'citationParams': { | |
| "style": "NONE", | |
| } | |
| } | |
| ] | |
| } | |
| ] | |
| } | |
| 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 = f"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() | |
| summary = res['responseSet'][0]['summary'][0]['text'] | |
| chat = res['responseSet'][0]['summary'][0].get('chat', None) | |
| if chat and chat['status'] is not None: | |
| st_code = chat['status'] | |
| print(f"Chat query failed with code {st_code}") | |
| if st_code == 'RESOURCE_EXHAUSTED': | |
| self.conv_id = None | |
| return 'Sorry, Vectara chat turns exceeds plan limit.' | |
| return 'Sorry, something went wrong in my brain. Please try again later.' | |
| self.conv_id = chat['conversationId'] if chat else None | |
| return summary | |
| def submit_query_streaming(self, query_str: str): | |
| endpoint = "https://api.vectara.io/v1/stream-query" | |
| body = self.get_body(query_str) | |
| response = requests.post(endpoint, data=json.dumps(body), verify=True, headers=self.get_headers(), stream=True) | |
| 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." | |
| chunks = [] | |
| for line in response.iter_lines(): | |
| if line: # filter out keep-alive new lines | |
| data = json.loads(line.decode('utf-8')) | |
| res = data['result'] | |
| response_set = res['responseSet'] | |
| if response_set is None: | |
| # grab next chunk and yield it as output | |
| summary = res.get('summary', None) | |
| if summary is None or len(summary)==0: | |
| continue | |
| else: | |
| chat = summary.get('chat', None) | |
| if chat and chat.get('status', None): | |
| st_code = chat['status'] | |
| print(f"Chat query failed with code {st_code}") | |
| if st_code == 'RESOURCE_EXHAUSTED': | |
| self.conv_id = None | |
| return 'Sorry, Vectara chat turns exceeds plan limit.' | |
| return 'Sorry, something went wrong in my brain. Please try again later.' | |
| conv_id = chat.get('conversationId', None) if chat else None | |
| if conv_id: | |
| self.conv_id = conv_id | |
| chunk = summary['text'] | |
| chunks.append(chunk) | |
| yield chunk | |
| if summary['done']: | |
| break | |
| return ''.join(chunks) | |