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Search.py
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Search.py
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from ..search.AzureSearchHandler import AzureSearchHandler
from ..search.IntegratedVectorizationSearchHandler import (
IntegratedVectorizationSearchHandler,
)
from langchain_core.documents import Document
import re
class Search:
@staticmethod
def get_search_handler(env_helper):
if env_helper.AZURE_SEARCH_USE_INTEGRATED_VECTORIZATION:
return IntegratedVectorizationSearchHandler(env_helper)
else:
return AzureSearchHandler(env_helper)
@staticmethod
def get_source_documents(search_handler, question):
if isinstance(search_handler, IntegratedVectorizationSearchHandler):
search_results = search_handler.query_search(question)
return Search.generate_source_documents(search_results)
else:
return search_handler.query_search(question)
@staticmethod
def generate_source_documents(search_results):
sources = []
for result in search_results:
source_url = Search._extract_source_url(result.get("source", ""))
metadata_dict = {
"id": result.get("id", ""),
"title": result.get("title", ""),
"source": source_url,
"chunk_id": result.get("chunk_id", ""),
}
sources.append(
Document(
page_content=result["content"],
metadata=metadata_dict,
)
)
return sources
@staticmethod
def _extract_source_url(original_source):
matches = list(re.finditer(r"https?://", original_source))
if len(matches) > 1:
second_http_start = matches[1].start()
source_url = original_source[second_http_start:]
else:
source_url = original_source + "_SAS_TOKEN_PLACEHOLDER_"
return source_url