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from llama_index import StorageContext
from typing import List
from abc import abstractmethod, ABC
from llama_index import Document
from core.lifecycle import Lifecycle
from llama.service_context import ServiceContextManager
class StorageContextManager(Lifecycle, ABC):
@abstractmethod
def get_storage_context(self) -> StorageContext:
pass
class LocalStorageContextManager(StorageContextManager):
storage_context: StorageContext
def __init__(
self,
service_context_manager: ServiceContextManager,
dataset_path: str = "./dataset",
) -> None:
super().__init__()
self.dataset_path = dataset_path
self.service_context_manager = service_context_manager
def get_storage_context(self) -> StorageContext:
return self.storage_context
def do_init(self) -> None:
from llama.utils import is_local_storage_files_ready
if is_local_storage_files_ready(self.dataset_path):
self.storage_context = StorageContext.from_defaults(
persist_dir=self.dataset_path
)
else:
docs = self._download()
self._indexing(docs)
def do_start(self) -> None:
# self.logger.info("[do_start]%", **self.storage_context.to_dict())
pass
def do_stop(self) -> None:
# self.logger.info("[do_stop]%", **self.storage_context.to_dict())
pass
def do_dispose(self) -> None:
self.storage_context.persist(self.dataset_path)
def _download(self) -> List[Document]:
from llama.data_loader import GithubLoader
loader = GithubLoader()
return loader.load()
def _indexing(self, docs: List[Document]) -> None:
from llama_index import GPTVectorStoreIndex
index = GPTVectorStoreIndex.from_documents(
docs, service_context=self.service_context_manager.get_service_context()
)
index.storage_context.persist(persist_dir=self.dataset_path)
self.storage_context = index.storage_context
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