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# Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
63 lines
2.2 KiB
Python
63 lines
2.2 KiB
Python
from typing import Any, List
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from uuid import UUID
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from logger import get_logger
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from modules.brain.repository.brains_vectors import BrainsVectors
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from modules.brain.repository.interfaces.brains_vectors_interface import (
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BrainsVectorsInterface,
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)
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from modules.knowledge.repository.storage import Storage
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from packages.embeddings.vectors import get_unique_files_from_vector_ids
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logger = get_logger(__name__)
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class BrainVectorService:
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repository: BrainsVectorsInterface
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id: UUID
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files: List[Any] = []
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def __init__(self, brain_id: UUID):
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self.repository = BrainsVectors()
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self.id = brain_id
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def create_brain_vector(self, vector_id, file_sha1):
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return self.repository.create_brain_vector(self.id, vector_id, file_sha1) # type: ignore
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def update_brain_with_file(self, file_sha1: str):
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# not used
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vector_ids = self.repository.get_vector_ids_from_file_sha1(file_sha1)
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if vector_ids == None or len(vector_ids) == 0:
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logger.info(f"No vector ids found for file {file_sha1}")
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return
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for vector_id in vector_ids:
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self.create_brain_vector(vector_id, file_sha1)
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def get_unique_brain_files(self):
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"""
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Retrieve unique brain data (i.e. uploaded files and crawled websites).
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"""
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vector_ids = self.repository.get_brain_vector_ids(self.id) # type: ignore
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self.files = get_unique_files_from_vector_ids(vector_ids)
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return self.files
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def delete_file_from_brain(self, file_name: str):
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file_name_with_brain_id = f"{self.id}/{file_name}"
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storage = Storage()
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storage.remove_file(file_name_with_brain_id)
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return self.repository.delete_file_from_brain(self.id, file_name) # type: ignore
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def delete_file_url_from_brain(self, file_name: str):
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return self.repository.delete_file_from_brain(self.id, file_name) # type: ignore
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@property
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def brain_size(self):
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# TODO: change the calculation of the brain size, calculate the size stored for the embeddings + what's in the storage
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self.get_unique_brain_files()
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current_brain_size = sum(float(doc["size"]) for doc in self.files)
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return current_brain_size
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