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feat/ml-fa
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40 changed files with 2299 additions and 2150 deletions
54
cli/src/api/open-api/api.ts
generated
54
cli/src/api/open-api/api.ts
generated
|
|
@ -874,12 +874,30 @@ export interface BulkIdsDto {
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* @interface CLIPConfig
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*/
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export interface CLIPConfig {
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/**
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*
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* @type {string}
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* @memberof CLIPConfig
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*/
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'embedding_id'?: string;
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/**
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*
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* @type {boolean}
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* @memberof CLIPConfig
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*/
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'enabled': boolean;
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/**
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*
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* @type {string}
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* @memberof CLIPConfig
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*/
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'index_name'?: string;
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/**
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*
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* @type {number}
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* @memberof CLIPConfig
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*/
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'k'?: number;
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/**
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*
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* @type {CLIPMode}
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@ -1025,12 +1043,30 @@ export interface CheckExistingAssetsResponseDto {
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* @interface ClassificationConfig
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*/
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export interface ClassificationConfig {
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/**
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*
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* @type {string}
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* @memberof ClassificationConfig
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*/
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'embedding_id'?: string;
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/**
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*
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* @type {boolean}
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* @memberof ClassificationConfig
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*/
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'enabled': boolean;
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/**
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*
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* @type {string}
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* @memberof ClassificationConfig
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*/
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'index_name'?: string;
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/**
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*
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* @type {number}
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* @memberof ClassificationConfig
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*/
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'k'?: number;
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/**
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*
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* @type {number}
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@ -2140,12 +2176,30 @@ export interface QueueStatusDto {
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* @interface RecognitionConfig
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*/
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export interface RecognitionConfig {
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/**
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*
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* @type {string}
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* @memberof RecognitionConfig
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*/
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'embedding_id'?: string;
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/**
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*
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* @type {boolean}
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* @memberof RecognitionConfig
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*/
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'enabled': boolean;
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/**
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*
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* @type {string}
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* @memberof RecognitionConfig
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*/
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'index_name'?: string;
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/**
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*
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* @type {number}
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* @memberof RecognitionConfig
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*/
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'k'?: number;
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/**
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*
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* @type {number}
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|
|
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@ -2,12 +2,9 @@ import logging
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import os
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from pathlib import Path
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import gunicorn
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import starlette
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from pydantic import BaseSettings
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from rich.console import Console
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from rich.logging import RichHandler
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from .schemas import ModelType
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@ -61,7 +58,10 @@ class CustomRichHandler(RichHandler):
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def __init__(self) -> None:
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console = Console(color_system="standard", no_color=log_settings.no_color)
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super().__init__(
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show_path=False, omit_repeated_times=False, console=console, tracebacks_suppress=[gunicorn, starlette]
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show_path=False,
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omit_repeated_times=False,
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console=console,
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tracebacks_width=100,
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)
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|
|
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|
|
@ -1,11 +1,14 @@
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import asyncio
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from functools import partial
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import threading
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from concurrent.futures import ThreadPoolExecutor
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from typing import Any
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from typing import Any, Callable, Type
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from zipfile import BadZipFile
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|
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import faiss
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import numpy as np
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import orjson
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from fastapi import FastAPI, Form, HTTPException, UploadFile
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from fastapi import Depends, FastAPI, Form, HTTPException, UploadFile
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from fastapi.responses import ORJSONResponse
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from onnxruntime.capi.onnxruntime_pybind11_state import InvalidProtobuf, NoSuchFile # type: ignore
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from starlette.formparsers import MultiPartParser
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|
|
@ -20,10 +23,60 @@ from .schemas import (
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TextResponse,
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)
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MultiPartParser.max_file_size = 2**24 # spools to disk if payload is 16 MiB or larger
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app = FastAPI()
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class VectorStore:
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def __init__(self, dims: int, index: Type[faiss.Index] = faiss.IndexHNSWFlat) -> None:
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self.index = index(dims, 32, faiss.METRIC_INNER_PRODUCT)
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self.key_to_id: dict[int, Any] = {}
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def search(self, embeddings: np.ndarray[int, np.dtype[Any]], k: int) -> list[Any]:
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keys: np.ndarray[int, np.dtype[np.int64]] = self.index.assign(embeddings, k) # type: ignore
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return [self.key_to_id[idx] for row in keys.tolist() for idx in row if not idx == -1]
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def add_with_ids(self, embeddings: np.ndarray[int, np.dtype[Any]], embedding_ids: list[Any]) -> None:
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cur_total = self.index.ntotal
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self.index.add(embeddings) # type: ignore
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new_total = self.index.ntotal
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self.key_to_id |= {key: id for key, id in zip(range(cur_total, new_total), embedding_ids)}
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@property
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def dims(self) -> int:
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return self.index.d
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vector_stores: dict[str, VectorStore] = {}
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def validate_embeddings(embeddings: list[float]) -> Any:
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np_embeddings = np.array(embeddings)
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if len(np_embeddings.shape) == 1:
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np_embeddings = np.expand_dims(np_embeddings, 0)
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elif len(np_embeddings.shape) != 2:
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raise HTTPException(400, f"Expected one or two axes for embeddings; got {len(np_embeddings.shape)}")
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if np_embeddings.shape[1] < 10:
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raise HTTPException(400, f"Dimension size must be at least 10; got {np_embeddings.shape[1]}")
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return np_embeddings
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async def validate_payload(image: UploadFile | None, text: str | None, options: str) -> tuple[str | bytes, dict[str, Any]]:
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if image is not None:
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inputs: str | bytes = await image.read()
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elif text is not None:
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inputs = text
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else:
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raise HTTPException(400, "Either image or text must be provided")
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try:
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kwargs = orjson.loads(options)
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except orjson.JSONDecodeError:
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raise HTTPException(400, f"Invalid options JSON: {options}")
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return inputs, kwargs
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def init_state() -> None:
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app.state.model_cache = ModelCache(ttl=settings.model_ttl, revalidate=settings.model_ttl > 0)
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log.info(
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|
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@ -34,7 +87,8 @@ def init_state() -> None:
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)
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# asyncio is a huge bottleneck for performance, so we use a thread pool to run blocking code
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app.state.thread_pool = ThreadPoolExecutor(settings.request_threads) if settings.request_threads > 0 else None
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app.state.locks = {model_type: threading.Lock() for model_type in ModelType}
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app.state.model_locks = {model_type: threading.Lock() for model_type in ModelType}
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app.state.index_lock = threading.Lock()
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log.info(f"Initialized request thread pool with {settings.request_threads} threads.")
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|
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@ -53,53 +107,104 @@ def ping() -> str:
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return "pong"
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@app.post("/predict")
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@app.post("/pipeline", response_class=ORJSONResponse)
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async def pipeline(
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model_name: str = Form(alias="modelName"),
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model_type: ModelType = Form(alias="modelType"),
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options: str = Form(default="{}"),
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text: str | None = Form(default=None),
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image: UploadFile | None = None,
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index_name: str | None = Form(default=None),
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embedding_id: str | None = Form(default=None),
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k: int | None = Form(default=None),
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) -> ORJSONResponse:
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inputs, kwargs = await validate_payload(image, text, options)
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model = await app.state.model_cache.get(model_name, model_type, **kwargs)
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outputs = await run(_predict, model, inputs, **kwargs)
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if index_name is not None:
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expanded = np.expand_dims(outputs, 0)
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if k is not None:
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if k < 1:
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raise HTTPException(400, f"k must be a positive integer; got {k}")
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if index_name not in vector_stores:
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raise HTTPException(404, f"Index '{index_name}' not found")
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outputs = await run(vector_stores[index_name].search, expanded, k)
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if embedding_id is not None:
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if index_name not in vector_stores:
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await create(index_name, [embedding_id], expanded)
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else:
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await add(index_name, [embedding_id], expanded)
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return ORJSONResponse(outputs)
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@app.post("/predict", response_class=ORJSONResponse)
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async def predict(
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model_name: str = Form(alias="modelName"),
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model_type: ModelType = Form(alias="modelType"),
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options: str = Form(default="{}"),
|
||||
text: str | None = Form(default=None),
|
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image: UploadFile | None = None,
|
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) -> Any:
|
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if image is not None:
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inputs: str | bytes = await image.read()
|
||||
elif text is not None:
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inputs = text
|
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else:
|
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raise HTTPException(400, "Either image or text must be provided")
|
||||
try:
|
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kwargs = orjson.loads(options)
|
||||
except orjson.JSONDecodeError:
|
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raise HTTPException(400, f"Invalid options JSON: {options}")
|
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|
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model = await load(await app.state.model_cache.get(model_name, model_type, **kwargs))
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model.configure(**kwargs)
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outputs = await run(model, inputs)
|
||||
) -> ORJSONResponse:
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inputs, kwargs = await validate_payload(image, text, options)
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model = await app.state.model_cache.get(model_name, model_type, **kwargs)
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outputs = await run(_predict, model, inputs, **kwargs)
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return ORJSONResponse(outputs)
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async def run(model: InferenceModel, inputs: Any) -> Any:
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@app.post("/index/{index_name}/search", response_class=ORJSONResponse)
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async def search(index_name: str, embeddings: Any = Depends(validate_embeddings), k: int = 10) -> ORJSONResponse:
|
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if index_name not in vector_stores or vector_stores[index_name].dims != embeddings.shape[1]:
|
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raise HTTPException(404, f"Index '{index_name}' not found")
|
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outputs: np.ndarray[int, np.dtype[Any]] = await run(vector_stores[index_name].search, embeddings, k)
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return ORJSONResponse(outputs)
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|
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|
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@app.post("/index/{index_name}/add")
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async def add(
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index_name: str,
|
||||
embedding_ids: list[str],
|
||||
embeddings: Any = Depends(validate_embeddings),
|
||||
) -> None:
|
||||
if index_name not in vector_stores or vector_stores[index_name].dims != embeddings.shape[1]:
|
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await create(index_name, embedding_ids, embeddings)
|
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else:
|
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log.info(f"Adding {len(embedding_ids)} embedding(s) to index '{index_name}'")
|
||||
await run(_add, vector_stores[index_name], embedding_ids, embeddings)
|
||||
|
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|
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@app.post("/index/{index_name}/create")
|
||||
async def create(
|
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index_name: str,
|
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embedding_ids: list[str],
|
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embeddings: Any = Depends(validate_embeddings),
|
||||
) -> None:
|
||||
if embeddings.shape[0] != len(embedding_ids):
|
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raise HTTPException(
|
||||
400,
|
||||
f"Number of embedding IDs must match number of embeddings; got {len(embedding_ids)} ID(s) and {embeddings.shape[0]} embedding(s)",
|
||||
)
|
||||
if index_name in vector_stores:
|
||||
log.warn(f"Index '{index_name}' already exists. Overwriting.")
|
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log.info(f"Creating new index '{index_name}'")
|
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|
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vector_stores[index_name] = await run(_create, embedding_ids, embeddings)
|
||||
|
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|
||||
async def run(func: Callable[..., Any], *args: Any, **kwargs: Any) -> Any:
|
||||
if app.state.thread_pool is None:
|
||||
return model.predict(inputs)
|
||||
return func(*args, **kwargs)
|
||||
if kwargs:
|
||||
func = partial(func, **kwargs)
|
||||
return await asyncio.get_running_loop().run_in_executor(app.state.thread_pool, func, *args)
|
||||
|
||||
return await asyncio.get_running_loop().run_in_executor(app.state.thread_pool, model.predict, inputs)
|
||||
|
||||
|
||||
async def load(model: InferenceModel) -> InferenceModel:
|
||||
def _load(model: InferenceModel) -> InferenceModel:
|
||||
if model.loaded:
|
||||
return model
|
||||
|
||||
def _load() -> None:
|
||||
with app.state.locks[model.model_type]:
|
||||
model.load()
|
||||
|
||||
loop = asyncio.get_running_loop()
|
||||
try:
|
||||
if app.state.thread_pool is None:
|
||||
model.load()
|
||||
else:
|
||||
await loop.run_in_executor(app.state.thread_pool, _load)
|
||||
return model
|
||||
with app.state.model_locks[model.model_type]:
|
||||
if not model.loaded:
|
||||
model.load()
|
||||
except (OSError, InvalidProtobuf, BadZipFile, NoSuchFile):
|
||||
log.warn(
|
||||
(
|
||||
|
|
@ -108,8 +213,30 @@ async def load(model: InferenceModel) -> InferenceModel:
|
|||
)
|
||||
)
|
||||
model.clear_cache()
|
||||
if app.state.thread_pool is None:
|
||||
model.load()
|
||||
else:
|
||||
await loop.run_in_executor(app.state.thread_pool, _load)
|
||||
return model
|
||||
model.load()
|
||||
return model
|
||||
|
||||
|
||||
def _predict(model: InferenceModel, inputs: Any, **options: Any) -> np.ndarray[int, np.dtype[np.float32]]:
|
||||
if not model.loaded:
|
||||
_load(model)
|
||||
model.configure(**options)
|
||||
return model.predict(inputs)
|
||||
|
||||
|
||||
def _create(
|
||||
embedding_ids: list[str],
|
||||
embeddings: np.ndarray[int, np.dtype[np.float32]],
|
||||
) -> VectorStore:
|
||||
index = VectorStore(embeddings.shape[1])
|
||||
_add(index, embedding_ids, embeddings)
|
||||
return index
|
||||
|
||||
|
||||
def _add(
|
||||
index: VectorStore,
|
||||
embedding_ids: list[str],
|
||||
embeddings: np.ndarray[int, np.dtype[np.float32]],
|
||||
) -> None:
|
||||
with app.state.index_lock:
|
||||
index.add_with_ids(embeddings, embedding_ids) # type: ignore
|
||||
|
|
|
|||
|
|
@ -9,6 +9,7 @@ from clip_server.model.clip import BICUBIC, _convert_image_to_rgb
|
|||
from clip_server.model.clip_onnx import _MODELS, _S3_BUCKET_V2, CLIPOnnxModel, download_model
|
||||
from clip_server.model.pretrained_models import _VISUAL_MODEL_IMAGE_SIZE
|
||||
from clip_server.model.tokenization import Tokenizer
|
||||
import faiss
|
||||
from PIL import Image
|
||||
from torchvision.transforms import CenterCrop, Compose, Normalize, Resize, ToTensor
|
||||
|
||||
|
|
@ -89,7 +90,7 @@ class CLIPEncoder(InferenceModel):
|
|||
pixel_values = self.transform(image_or_text)
|
||||
assert isinstance(pixel_values, torch.Tensor)
|
||||
pixel_values = torch.unsqueeze(pixel_values, 0).numpy()
|
||||
outputs = self.vision_model.run(self.vision_outputs, {"pixel_values": pixel_values})
|
||||
outputs = self.vision_model.run(self.vision_outputs, {"pixel_values": pixel_values})[0]
|
||||
case str():
|
||||
if self.mode == "vision":
|
||||
raise TypeError("Cannot encode text as vision-only model")
|
||||
|
|
@ -98,11 +99,11 @@ class CLIPEncoder(InferenceModel):
|
|||
"input_ids": text_inputs["input_ids"].int().numpy(),
|
||||
"attention_mask": text_inputs["attention_mask"].int().numpy(),
|
||||
}
|
||||
outputs = self.text_model.run(self.text_outputs, inputs)
|
||||
outputs = self.text_model.run(self.text_outputs, inputs)[0]
|
||||
case _:
|
||||
raise TypeError(f"Expected Image or str, but got: {type(image_or_text)}")
|
||||
|
||||
return outputs[0][0].tolist()
|
||||
faiss.normalize_L2(outputs)
|
||||
return outputs[0]
|
||||
|
||||
def _get_jina_model_name(self, model_name: str) -> str:
|
||||
if model_name in _MODELS:
|
||||
|
|
|
|||
|
|
@ -3,6 +3,7 @@ from pathlib import Path
|
|||
from typing import Any
|
||||
|
||||
import cv2
|
||||
import faiss
|
||||
import numpy as np
|
||||
import onnxruntime as ort
|
||||
from insightface.model_zoo import ArcFaceONNX, RetinaFace
|
||||
|
|
@ -83,7 +84,8 @@ class FaceRecognizer(InferenceModel):
|
|||
height, width, _ = image.shape
|
||||
for (x1, y1, x2, y2), score, kps in zip(bboxes, scores, kpss):
|
||||
cropped_img = norm_crop(image, kps)
|
||||
embedding = self.rec_model.get_feat(cropped_img)[0].tolist()
|
||||
embedding = self.rec_model.get_feat(cropped_img)
|
||||
faiss.normalize_L2(embedding)
|
||||
results.append(
|
||||
{
|
||||
"imageWidth": width,
|
||||
|
|
@ -95,7 +97,7 @@ class FaceRecognizer(InferenceModel):
|
|||
"y2": y2,
|
||||
},
|
||||
"score": score,
|
||||
"embedding": embedding,
|
||||
"embedding": embedding[0],
|
||||
}
|
||||
)
|
||||
return results
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
{
|
||||
"version": 1,
|
||||
"disable_existing_loggers": true,
|
||||
"disable_existing_loggers": false,
|
||||
"formatters": { "rich": { "show_path": false, "omit_repeated_times": false } },
|
||||
"handlers": {
|
||||
"console": {
|
||||
|
|
|
|||
732
machine-learning/poetry.lock
generated
732
machine-learning/poetry.lock
generated
|
|
@ -213,33 +213,13 @@ tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pyte
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|||
|
||||
[[package]]
|
||||
name = "black"
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||||
version = "23.7.0"
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||||
version = "23.9.0"
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||||
description = "The uncompromising code formatter."
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optional = false
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||||
python-versions = ">=3.8"
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files = [
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{file = "black-23.7.0.tar.gz", hash = "sha256:022a582720b0d9480ed82576c920a8c1dde97cc38ff11d8d8859b3bd6ca9eedb"},
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[package.dependencies]
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||||
|
|
@ -268,93 +248,94 @@ files = [
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[[package]]
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]
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||||
[[package]]
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||||
|
|
@ -645,63 +626,63 @@ test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
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|||
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||||
[[package]]
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||||
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optional = false
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||||
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||||
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||||
]
|
||||
|
||||
[package.extras]
|
||||
|
|
@ -851,6 +832,40 @@ files = [
|
|||
{file = "easydict-1.10.tar.gz", hash = "sha256:11dcb2c20aaabbfee4c188b4bc143ef6be044b34dbf0ce5a593242c2695a080f"},
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||||
]
|
||||
|
||||
[[package]]
|
||||
name = "faiss-cpu"
|
||||
version = "1.7.4"
|
||||
description = "A library for efficient similarity search and clustering of dense vectors."
|
||||
optional = false
|
||||
python-versions = "*"
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||||
files = [
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||||
{file = "faiss-cpu-1.7.4.tar.gz", hash = "sha256:265dc31b0c079bf4433303bf6010f73922490adff9188b915e2d3f5e9c82dd0a"},
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||||
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||||
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|
||||
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "fastapi"
|
||||
version = "0.95.2"
|
||||
|
|
@ -1076,13 +1091,13 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "fsspec"
|
||||
version = "2023.6.0"
|
||||
version = "2023.9.0"
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||||
description = "File-system specification"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
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files = [
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||||
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]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -1129,49 +1144,53 @@ wcwidth = ">=0.2.5"
|
|||
|
||||
[[package]]
|
||||
name = "gevent"
|
||||
version = "23.7.0"
|
||||
version = "23.9.0.post1"
|
||||
description = "Coroutine-based network library"
|
||||
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|
||||
python-versions = ">=3.8"
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[package.dependencies]
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||||
greenlet = [
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||||
{version = ">=2.0.0", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.12\""},
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{version = ">=3.0a1", markers = "platform_python_implementation == \"CPython\" and python_version >= \"3.12\""},
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||||
{version = ">=3.0rc1", markers = "platform_python_implementation == \"CPython\" and python_version >= \"3.12\""},
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||||
]
|
||||
"zope.event" = "*"
|
||||
"zope.interface" = "*"
|
||||
|
|
@ -1381,70 +1400,69 @@ test = ["objgraph", "psutil"]
|
|||
|
||||
[[package]]
|
||||
name = "greenlet"
|
||||
version = "3.0.0a1"
|
||||
version = "3.0.0rc2"
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||||
description = "Lightweight in-process concurrent programming"
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optional = false
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python-versions = ">=3.7"
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||||
[package.extras]
|
||||
|
|
@ -1632,13 +1650,13 @@ files = [
|
|||
|
||||
[[package]]
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||||
name = "imageio"
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||||
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||||
version = "2.31.3"
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||||
description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
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||||
optional = false
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python-versions = ">=3.7"
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python-versions = ">=3.8"
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||||
{file = "imageio-2.31.3.tar.gz", hash = "sha256:74c6a832d81b7ad5a8a80976dea58ee033d3e2b99a54990cbd789b4cb0b31461"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2496,13 +2514,13 @@ numpy = [
|
|||
|
||||
[[package]]
|
||||
name = "optimum"
|
||||
version = "1.12.0"
|
||||
version = "1.13.1"
|
||||
description = "Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality."
|
||||
optional = false
|
||||
python-versions = ">=3.7.0"
|
||||
files = [
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||||
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||||
{file = "optimum-1.12.0.tar.gz", hash = "sha256:a74e051c4d776a900b6452a12a36e0afadbebee112a8205a30adac9216a4991b"},
|
||||
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||||
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -2517,7 +2535,7 @@ transformers = {version = ">=4.26.0", extras = ["sentencepiece"]}
|
|||
|
||||
[package.extras]
|
||||
benchmark = ["evaluate (>=0.2.0)", "optuna", "scikit-learn", "seqeval", "torchvision", "tqdm"]
|
||||
dev = ["Pillow", "black (>=23.1,<24.0)", "diffusers (>=0.17.0)", "einops", "invisible-watermark", "parameterized", "pytest", "pytest-xdist", "requests", "ruff (>=0.0.241,<=0.0.259)", "sacremoses", "torchaudio", "torchvision"]
|
||||
dev = ["Pillow", "accelerate", "black (>=23.1,<24.0)", "diffusers (>=0.17.0)", "einops", "invisible-watermark", "parameterized", "pytest", "pytest-xdist", "requests", "ruff (>=0.0.241,<=0.0.259)", "sacremoses", "torchaudio", "torchvision"]
|
||||
diffusers = ["diffusers"]
|
||||
doc-build = ["accelerate"]
|
||||
exporters = ["onnx", "onnxruntime", "timm"]
|
||||
|
|
@ -2526,84 +2544,84 @@ exporters-tf = ["h5py", "numpy (<1.24.0)", "onnx", "onnxruntime", "tensorflow (>
|
|||
furiosa = ["optimum-furiosa"]
|
||||
graphcore = ["optimum-graphcore"]
|
||||
habana = ["optimum-habana"]
|
||||
intel = ["optimum-intel (>=1.10.1)"]
|
||||
neural-compressor = ["optimum-intel[neural-compressor] (>=1.9.2)"]
|
||||
intel = ["optimum-intel (>=1.11.0)"]
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||||
neural-compressor = ["optimum-intel[neural-compressor] (>=1.11.0)"]
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||||
neuron = ["optimum-neuron[neuron]"]
|
||||
neuronx = ["optimum-neuron[neuronx]"]
|
||||
nncf = ["optimum-intel[nncf] (>=1.10.1)"]
|
||||
nncf = ["optimum-intel[nncf] (>=1.11.0)"]
|
||||
onnxruntime = ["datasets (>=1.2.1)", "evaluate", "onnx", "onnxruntime (>=1.11.0)", "protobuf (>=3.20.1)"]
|
||||
onnxruntime-gpu = ["accelerate", "datasets (>=1.2.1)", "evaluate", "onnx", "onnxruntime-gpu (>=1.11.0)", "protobuf (>=3.20.1)"]
|
||||
openvino = ["optimum-intel[openvino] (>=1.10.1)"]
|
||||
openvino = ["optimum-intel[openvino] (>=1.11.0)"]
|
||||
quality = ["black (>=23.1,<24.0)", "ruff (>=0.0.241,<=0.0.259)"]
|
||||
tests = ["Pillow", "diffusers (>=0.17.0)", "einops", "invisible-watermark", "parameterized", "pytest", "pytest-xdist", "requests", "sacremoses", "torchaudio", "torchvision"]
|
||||
tests = ["Pillow", "accelerate", "diffusers (>=0.17.0)", "einops", "invisible-watermark", "parameterized", "pytest", "pytest-xdist", "requests", "sacremoses", "torchaudio", "torchvision"]
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||||
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[[package]]
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name = "orjson"
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version = "3.9.5"
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version = "3.9.7"
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description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
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{file = "orjson-3.9.7.tar.gz", hash = "sha256:85e39198f78e2f7e054d296395f6c96f5e02892337746ef5b6a1bf3ed5910142"},
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||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -3013,13 +3031,13 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "pytest"
|
||||
version = "7.4.0"
|
||||
version = "7.4.2"
|
||||
description = "pytest: simple powerful testing with Python"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "pytest-7.4.0-py3-none-any.whl", hash = "sha256:78bf16451a2eb8c7a2ea98e32dc119fd2aa758f1d5d66dbf0a59d69a3969df32"},
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||||
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|
||||
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -3128,13 +3146,13 @@ dev = ["atomicwrites (==1.2.1)", "attrs (==19.2.0)", "coverage (==6.5.0)", "hatc
|
|||
|
||||
[[package]]
|
||||
name = "pytz"
|
||||
version = "2023.3"
|
||||
version = "2023.3.post1"
|
||||
description = "World timezone definitions, modern and historical"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "pytz-2023.3-py2.py3-none-any.whl", hash = "sha256:a151b3abb88eda1d4e34a9814df37de2a80e301e68ba0fd856fb9b46bfbbbffb"},
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||||
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|
||||
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|
||||
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -3789,19 +3807,19 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "setuptools"
|
||||
version = "68.1.2"
|
||||
version = "68.2.0"
|
||||
description = "Easily download, build, install, upgrade, and uninstall Python packages"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "setuptools-68.1.2-py3-none-any.whl", hash = "sha256:3d8083eed2d13afc9426f227b24fd1659489ec107c0e86cec2ffdde5c92e790b"},
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||||
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|
||||
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|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5,<=7.1.2)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
|
||||
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
|
||||
testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
|
||||
testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
|
||||
testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
|
||||
|
||||
[[package]]
|
||||
name = "six"
|
||||
|
|
@ -3886,13 +3904,13 @@ all = ["defusedxml", "fsspec", "imagecodecs (>=2023.8.12)", "lxml", "matplotlib"
|
|||
|
||||
[[package]]
|
||||
name = "timm"
|
||||
version = "0.9.6"
|
||||
version = "0.9.7"
|
||||
description = "PyTorch Image Models"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "timm-0.9.6-py3-none-any.whl", hash = "sha256:7549a924b86a6151d4083a880c27ae86ce729e1b5c8c6099657217d0a0526a4e"},
|
||||
{file = "timm-0.9.6.tar.gz", hash = "sha256:6c3c0451b69431de0290eed5662e66b134caf916f1cb9b4aa3b9a13c3d61fd03"},
|
||||
{file = "timm-0.9.7-py3-none-any.whl", hash = "sha256:1cf1082007aa1353550921804abe292292d51acc8631a140273f81f29b48059f"},
|
||||
{file = "timm-0.9.7.tar.gz", hash = "sha256:2bfb1029e90b72e65eb9c75556169815f2e82257eaa1f6ebd623a4b4a52867a2"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -4118,13 +4136,13 @@ telegram = ["requests"]
|
|||
|
||||
[[package]]
|
||||
name = "transformers"
|
||||
version = "4.32.1"
|
||||
version = "4.33.1"
|
||||
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
|
||||
{file = "transformers-4.32.1-py3-none-any.whl", hash = "sha256:b930d3dbd907a3f300cf49e54d63a56f8a0ab16b01a2c2a61ecff37c6de1da08"},
|
||||
{file = "transformers-4.32.1.tar.gz", hash = "sha256:1edc8ae1de357d97c3d36b04412aa63d55e6fc0c4b39b419a7d380ed947d2252"},
|
||||
{file = "transformers-4.33.1-py3-none-any.whl", hash = "sha256:0630c2d26448d7c6cb78435e6c43910c89e99387badea6be1f565ffa3f093f1d"},
|
||||
{file = "transformers-4.33.1.tar.gz", hash = "sha256:744265e9f0724d22c229938f28376af54abce730ef647f35bd1685abf49912a4"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -4143,16 +4161,16 @@ tqdm = ">=4.27"
|
|||
|
||||
[package.extras]
|
||||
accelerate = ["accelerate (>=0.20.3)"]
|
||||
agents = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=1.9,!=1.12.0)"]
|
||||
all = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision"]
|
||||
agents = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch (>=1.10,!=1.12.0)"]
|
||||
all = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"]
|
||||
audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
codecarbon = ["codecarbon (==1.2.0)"]
|
||||
deepspeed = ["accelerate (>=0.20.3)", "deepspeed (>=0.9.3)"]
|
||||
deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "timeout-decorator"]
|
||||
dev = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "urllib3 (<2.0.0)"]
|
||||
dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
docs = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "torchaudio", "torchvision"]
|
||||
dev = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "urllib3 (<2.0.0)"]
|
||||
dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
docs = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"]
|
||||
docs-specific = ["hf-doc-builder"]
|
||||
fairscale = ["fairscale (>0.3)"]
|
||||
flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"]
|
||||
|
|
@ -4175,15 +4193,15 @@ sigopt = ["sigopt"]
|
|||
sklearn = ["scikit-learn"]
|
||||
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "timeout-decorator"]
|
||||
tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx"]
|
||||
tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.14)", "tensorflow-text (<2.14)", "tf2onnx"]
|
||||
tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
|
||||
tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
|
||||
tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
timm = ["timm"]
|
||||
tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
|
||||
torch = ["accelerate (>=0.20.3)", "torch (>=1.9,!=1.12.0)"]
|
||||
torch = ["accelerate (>=0.20.3)", "torch (>=1.10,!=1.12.0)"]
|
||||
torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
torch-vision = ["Pillow (<10.0.0)", "torchvision"]
|
||||
torchhub = ["filelock", "huggingface-hub (>=0.15.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.9,!=1.12.0)", "tqdm (>=4.27)"]
|
||||
torchhub = ["filelock", "huggingface-hub (>=0.15.1,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.10,!=1.12.0)", "tqdm (>=4.27)"]
|
||||
video = ["av (==9.2.0)", "decord (==0.6.0)"]
|
||||
vision = ["Pillow (<10.0.0)"]
|
||||
|
||||
|
|
@ -4685,4 +4703,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.11"
|
||||
content-hash = "4e97a32e7525cfedbf23892b8c1191b3fe7b4d09b9f043cdb285ed9772862d67"
|
||||
content-hash = "493856a7ab3b9c968bd6e590c78bbd7b6a277ea97a83daf0d9b1f999a623e116"
|
||||
|
|
|
|||
|
|
@ -34,6 +34,7 @@ python-multipart = "^0.0.6"
|
|||
orjson = "^3.9.5"
|
||||
safetensors = "0.3.2"
|
||||
gunicorn = "^21.1.0"
|
||||
faiss-cpu = "^1.7.4"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
mypy = "^1.3.0"
|
||||
|
|
@ -90,7 +91,8 @@ module = [
|
|||
"torchvision.transforms",
|
||||
"aiocache.backends.memory",
|
||||
"aiocache.lock",
|
||||
"aiocache.plugins"
|
||||
"aiocache.plugins",
|
||||
"faiss"
|
||||
]
|
||||
ignore_missing_imports = true
|
||||
|
||||
|
|
|
|||
3
mobile/openapi/doc/CLIPConfig.md
generated
3
mobile/openapi/doc/CLIPConfig.md
generated
|
|
@ -8,7 +8,10 @@ import 'package:openapi/api.dart';
|
|||
## Properties
|
||||
Name | Type | Description | Notes
|
||||
------------ | ------------- | ------------- | -------------
|
||||
**embeddingId** | **String** | | [optional]
|
||||
**enabled** | **bool** | |
|
||||
**indexName** | **String** | | [optional]
|
||||
**k** | **num** | | [optional]
|
||||
**mode** | [**CLIPMode**](CLIPMode.md) | | [optional]
|
||||
**modelName** | **String** | |
|
||||
**modelType** | [**ModelType**](ModelType.md) | | [optional]
|
||||
|
|
|
|||
3
mobile/openapi/doc/ClassificationConfig.md
generated
3
mobile/openapi/doc/ClassificationConfig.md
generated
|
|
@ -8,7 +8,10 @@ import 'package:openapi/api.dart';
|
|||
## Properties
|
||||
Name | Type | Description | Notes
|
||||
------------ | ------------- | ------------- | -------------
|
||||
**embeddingId** | **String** | | [optional]
|
||||
**enabled** | **bool** | |
|
||||
**indexName** | **String** | | [optional]
|
||||
**k** | **num** | | [optional]
|
||||
**minScore** | **int** | |
|
||||
**modelName** | **String** | |
|
||||
**modelType** | [**ModelType**](ModelType.md) | | [optional]
|
||||
|
|
|
|||
3
mobile/openapi/doc/RecognitionConfig.md
generated
3
mobile/openapi/doc/RecognitionConfig.md
generated
|
|
@ -8,7 +8,10 @@ import 'package:openapi/api.dart';
|
|||
## Properties
|
||||
Name | Type | Description | Notes
|
||||
------------ | ------------- | ------------- | -------------
|
||||
**embeddingId** | **String** | | [optional]
|
||||
**enabled** | **bool** | |
|
||||
**indexName** | **String** | | [optional]
|
||||
**k** | **num** | | [optional]
|
||||
**maxDistance** | **int** | |
|
||||
**minScore** | **int** | |
|
||||
**modelName** | **String** | |
|
||||
|
|
|
|||
55
mobile/openapi/lib/model/classification_config.dart
generated
55
mobile/openapi/lib/model/classification_config.dart
generated
|
|
@ -13,14 +13,41 @@ part of openapi.api;
|
|||
class ClassificationConfig {
|
||||
/// Returns a new [ClassificationConfig] instance.
|
||||
ClassificationConfig({
|
||||
this.embeddingId,
|
||||
required this.enabled,
|
||||
this.indexName,
|
||||
this.k,
|
||||
required this.minScore,
|
||||
required this.modelName,
|
||||
this.modelType,
|
||||
});
|
||||
|
||||
///
|
||||
/// Please note: This property should have been non-nullable! Since the specification file
|
||||
/// does not include a default value (using the "default:" property), however, the generated
|
||||
/// source code must fall back to having a nullable type.
|
||||
/// Consider adding a "default:" property in the specification file to hide this note.
|
||||
///
|
||||
String? embeddingId;
|
||||
|
||||
bool enabled;
|
||||
|
||||
///
|
||||
/// Please note: This property should have been non-nullable! Since the specification file
|
||||
/// does not include a default value (using the "default:" property), however, the generated
|
||||
/// source code must fall back to having a nullable type.
|
||||
/// Consider adding a "default:" property in the specification file to hide this note.
|
||||
///
|
||||
String? indexName;
|
||||
|
||||
///
|
||||
/// Please note: This property should have been non-nullable! Since the specification file
|
||||
/// does not include a default value (using the "default:" property), however, the generated
|
||||
/// source code must fall back to having a nullable type.
|
||||
/// Consider adding a "default:" property in the specification file to hide this note.
|
||||
///
|
||||
num? k;
|
||||
|
||||
int minScore;
|
||||
|
||||
String modelName;
|
||||
|
|
@ -35,7 +62,10 @@ class ClassificationConfig {
|
|||
|
||||
@override
|
||||
bool operator ==(Object other) => identical(this, other) || other is ClassificationConfig &&
|
||||
other.embeddingId == embeddingId &&
|
||||
other.enabled == enabled &&
|
||||
other.indexName == indexName &&
|
||||
other.k == k &&
|
||||
other.minScore == minScore &&
|
||||
other.modelName == modelName &&
|
||||
other.modelType == modelType;
|
||||
|
|
@ -43,17 +73,35 @@ class ClassificationConfig {
|
|||
@override
|
||||
int get hashCode =>
|
||||
// ignore: unnecessary_parenthesis
|
||||
(embeddingId == null ? 0 : embeddingId!.hashCode) +
|
||||
(enabled.hashCode) +
|
||||
(indexName == null ? 0 : indexName!.hashCode) +
|
||||
(k == null ? 0 : k!.hashCode) +
|
||||
(minScore.hashCode) +
|
||||
(modelName.hashCode) +
|
||||
(modelType == null ? 0 : modelType!.hashCode);
|
||||
|
||||
@override
|
||||
String toString() => 'ClassificationConfig[enabled=$enabled, minScore=$minScore, modelName=$modelName, modelType=$modelType]';
|
||||
String toString() => 'ClassificationConfig[embeddingId=$embeddingId, enabled=$enabled, indexName=$indexName, k=$k, minScore=$minScore, modelName=$modelName, modelType=$modelType]';
|
||||
|
||||
Map<String, dynamic> toJson() {
|
||||
final json = <String, dynamic>{};
|
||||
if (this.embeddingId != null) {
|
||||
json[r'embedding_id'] = this.embeddingId;
|
||||
} else {
|
||||
// json[r'embedding_id'] = null;
|
||||
}
|
||||
json[r'enabled'] = this.enabled;
|
||||
if (this.indexName != null) {
|
||||
json[r'index_name'] = this.indexName;
|
||||
} else {
|
||||
// json[r'index_name'] = null;
|
||||
}
|
||||
if (this.k != null) {
|
||||
json[r'k'] = this.k;
|
||||
} else {
|
||||
// json[r'k'] = null;
|
||||
}
|
||||
json[r'minScore'] = this.minScore;
|
||||
json[r'modelName'] = this.modelName;
|
||||
if (this.modelType != null) {
|
||||
|
|
@ -72,7 +120,12 @@ class ClassificationConfig {
|
|||
final json = value.cast<String, dynamic>();
|
||||
|
||||
return ClassificationConfig(
|
||||
embeddingId: mapValueOfType<String>(json, r'embedding_id'),
|
||||
enabled: mapValueOfType<bool>(json, r'enabled')!,
|
||||
indexName: mapValueOfType<String>(json, r'index_name'),
|
||||
k: json[r'k'] == null
|
||||
? null
|
||||
: num.parse(json[r'k'].toString()),
|
||||
minScore: mapValueOfType<int>(json, r'minScore')!,
|
||||
modelName: mapValueOfType<String>(json, r'modelName')!,
|
||||
modelType: ModelType.fromJson(json[r'modelType']),
|
||||
|
|
|
|||
55
mobile/openapi/lib/model/clip_config.dart
generated
55
mobile/openapi/lib/model/clip_config.dart
generated
|
|
@ -13,14 +13,41 @@ part of openapi.api;
|
|||
class CLIPConfig {
|
||||
/// Returns a new [CLIPConfig] instance.
|
||||
CLIPConfig({
|
||||
this.embeddingId,
|
||||
required this.enabled,
|
||||
this.indexName,
|
||||
this.k,
|
||||
this.mode,
|
||||
required this.modelName,
|
||||
this.modelType,
|
||||
});
|
||||
|
||||
///
|
||||
/// Please note: This property should have been non-nullable! Since the specification file
|
||||
/// does not include a default value (using the "default:" property), however, the generated
|
||||
/// source code must fall back to having a nullable type.
|
||||
/// Consider adding a "default:" property in the specification file to hide this note.
|
||||
///
|
||||
String? embeddingId;
|
||||
|
||||
bool enabled;
|
||||
|
||||
///
|
||||
/// Please note: This property should have been non-nullable! Since the specification file
|
||||
/// does not include a default value (using the "default:" property), however, the generated
|
||||
/// source code must fall back to having a nullable type.
|
||||
/// Consider adding a "default:" property in the specification file to hide this note.
|
||||
///
|
||||
String? indexName;
|
||||
|
||||
///
|
||||
/// Please note: This property should have been non-nullable! Since the specification file
|
||||
/// does not include a default value (using the "default:" property), however, the generated
|
||||
/// source code must fall back to having a nullable type.
|
||||
/// Consider adding a "default:" property in the specification file to hide this note.
|
||||
///
|
||||
num? k;
|
||||
|
||||
///
|
||||
/// Please note: This property should have been non-nullable! Since the specification file
|
||||
/// does not include a default value (using the "default:" property), however, the generated
|
||||
|
|
@ -41,7 +68,10 @@ class CLIPConfig {
|
|||
|
||||
@override
|
||||
bool operator ==(Object other) => identical(this, other) || other is CLIPConfig &&
|
||||
other.embeddingId == embeddingId &&
|
||||
other.enabled == enabled &&
|
||||
other.indexName == indexName &&
|
||||
other.k == k &&
|
||||
other.mode == mode &&
|
||||
other.modelName == modelName &&
|
||||
other.modelType == modelType;
|
||||
|
|
@ -49,17 +79,35 @@ class CLIPConfig {
|
|||
@override
|
||||
int get hashCode =>
|
||||
// ignore: unnecessary_parenthesis
|
||||
(embeddingId == null ? 0 : embeddingId!.hashCode) +
|
||||
(enabled.hashCode) +
|
||||
(indexName == null ? 0 : indexName!.hashCode) +
|
||||
(k == null ? 0 : k!.hashCode) +
|
||||
(mode == null ? 0 : mode!.hashCode) +
|
||||
(modelName.hashCode) +
|
||||
(modelType == null ? 0 : modelType!.hashCode);
|
||||
|
||||
@override
|
||||
String toString() => 'CLIPConfig[enabled=$enabled, mode=$mode, modelName=$modelName, modelType=$modelType]';
|
||||
String toString() => 'CLIPConfig[embeddingId=$embeddingId, enabled=$enabled, indexName=$indexName, k=$k, mode=$mode, modelName=$modelName, modelType=$modelType]';
|
||||
|
||||
Map<String, dynamic> toJson() {
|
||||
final json = <String, dynamic>{};
|
||||
if (this.embeddingId != null) {
|
||||
json[r'embedding_id'] = this.embeddingId;
|
||||
} else {
|
||||
// json[r'embedding_id'] = null;
|
||||
}
|
||||
json[r'enabled'] = this.enabled;
|
||||
if (this.indexName != null) {
|
||||
json[r'index_name'] = this.indexName;
|
||||
} else {
|
||||
// json[r'index_name'] = null;
|
||||
}
|
||||
if (this.k != null) {
|
||||
json[r'k'] = this.k;
|
||||
} else {
|
||||
// json[r'k'] = null;
|
||||
}
|
||||
if (this.mode != null) {
|
||||
json[r'mode'] = this.mode;
|
||||
} else {
|
||||
|
|
@ -82,7 +130,12 @@ class CLIPConfig {
|
|||
final json = value.cast<String, dynamic>();
|
||||
|
||||
return CLIPConfig(
|
||||
embeddingId: mapValueOfType<String>(json, r'embedding_id'),
|
||||
enabled: mapValueOfType<bool>(json, r'enabled')!,
|
||||
indexName: mapValueOfType<String>(json, r'index_name'),
|
||||
k: json[r'k'] == null
|
||||
? null
|
||||
: num.parse(json[r'k'].toString()),
|
||||
mode: CLIPMode.fromJson(json[r'mode']),
|
||||
modelName: mapValueOfType<String>(json, r'modelName')!,
|
||||
modelType: ModelType.fromJson(json[r'modelType']),
|
||||
|
|
|
|||
55
mobile/openapi/lib/model/recognition_config.dart
generated
55
mobile/openapi/lib/model/recognition_config.dart
generated
|
|
@ -13,15 +13,42 @@ part of openapi.api;
|
|||
class RecognitionConfig {
|
||||
/// Returns a new [RecognitionConfig] instance.
|
||||
RecognitionConfig({
|
||||
this.embeddingId,
|
||||
required this.enabled,
|
||||
this.indexName,
|
||||
this.k,
|
||||
required this.maxDistance,
|
||||
required this.minScore,
|
||||
required this.modelName,
|
||||
this.modelType,
|
||||
});
|
||||
|
||||
///
|
||||
/// Please note: This property should have been non-nullable! Since the specification file
|
||||
/// does not include a default value (using the "default:" property), however, the generated
|
||||
/// source code must fall back to having a nullable type.
|
||||
/// Consider adding a "default:" property in the specification file to hide this note.
|
||||
///
|
||||
String? embeddingId;
|
||||
|
||||
bool enabled;
|
||||
|
||||
///
|
||||
/// Please note: This property should have been non-nullable! Since the specification file
|
||||
/// does not include a default value (using the "default:" property), however, the generated
|
||||
/// source code must fall back to having a nullable type.
|
||||
/// Consider adding a "default:" property in the specification file to hide this note.
|
||||
///
|
||||
String? indexName;
|
||||
|
||||
///
|
||||
/// Please note: This property should have been non-nullable! Since the specification file
|
||||
/// does not include a default value (using the "default:" property), however, the generated
|
||||
/// source code must fall back to having a nullable type.
|
||||
/// Consider adding a "default:" property in the specification file to hide this note.
|
||||
///
|
||||
num? k;
|
||||
|
||||
int maxDistance;
|
||||
|
||||
int minScore;
|
||||
|
|
@ -38,7 +65,10 @@ class RecognitionConfig {
|
|||
|
||||
@override
|
||||
bool operator ==(Object other) => identical(this, other) || other is RecognitionConfig &&
|
||||
other.embeddingId == embeddingId &&
|
||||
other.enabled == enabled &&
|
||||
other.indexName == indexName &&
|
||||
other.k == k &&
|
||||
other.maxDistance == maxDistance &&
|
||||
other.minScore == minScore &&
|
||||
other.modelName == modelName &&
|
||||
|
|
@ -47,18 +77,36 @@ class RecognitionConfig {
|
|||
@override
|
||||
int get hashCode =>
|
||||
// ignore: unnecessary_parenthesis
|
||||
(embeddingId == null ? 0 : embeddingId!.hashCode) +
|
||||
(enabled.hashCode) +
|
||||
(indexName == null ? 0 : indexName!.hashCode) +
|
||||
(k == null ? 0 : k!.hashCode) +
|
||||
(maxDistance.hashCode) +
|
||||
(minScore.hashCode) +
|
||||
(modelName.hashCode) +
|
||||
(modelType == null ? 0 : modelType!.hashCode);
|
||||
|
||||
@override
|
||||
String toString() => 'RecognitionConfig[enabled=$enabled, maxDistance=$maxDistance, minScore=$minScore, modelName=$modelName, modelType=$modelType]';
|
||||
String toString() => 'RecognitionConfig[embeddingId=$embeddingId, enabled=$enabled, indexName=$indexName, k=$k, maxDistance=$maxDistance, minScore=$minScore, modelName=$modelName, modelType=$modelType]';
|
||||
|
||||
Map<String, dynamic> toJson() {
|
||||
final json = <String, dynamic>{};
|
||||
if (this.embeddingId != null) {
|
||||
json[r'embedding_id'] = this.embeddingId;
|
||||
} else {
|
||||
// json[r'embedding_id'] = null;
|
||||
}
|
||||
json[r'enabled'] = this.enabled;
|
||||
if (this.indexName != null) {
|
||||
json[r'index_name'] = this.indexName;
|
||||
} else {
|
||||
// json[r'index_name'] = null;
|
||||
}
|
||||
if (this.k != null) {
|
||||
json[r'k'] = this.k;
|
||||
} else {
|
||||
// json[r'k'] = null;
|
||||
}
|
||||
json[r'maxDistance'] = this.maxDistance;
|
||||
json[r'minScore'] = this.minScore;
|
||||
json[r'modelName'] = this.modelName;
|
||||
|
|
@ -78,7 +126,12 @@ class RecognitionConfig {
|
|||
final json = value.cast<String, dynamic>();
|
||||
|
||||
return RecognitionConfig(
|
||||
embeddingId: mapValueOfType<String>(json, r'embedding_id'),
|
||||
enabled: mapValueOfType<bool>(json, r'enabled')!,
|
||||
indexName: mapValueOfType<String>(json, r'index_name'),
|
||||
k: json[r'k'] == null
|
||||
? null
|
||||
: num.parse(json[r'k'].toString()),
|
||||
maxDistance: mapValueOfType<int>(json, r'maxDistance')!,
|
||||
minScore: mapValueOfType<int>(json, r'minScore')!,
|
||||
modelName: mapValueOfType<String>(json, r'modelName')!,
|
||||
|
|
|
|||
15
mobile/openapi/test/classification_config_test.dart
generated
15
mobile/openapi/test/classification_config_test.dart
generated
|
|
@ -16,11 +16,26 @@ void main() {
|
|||
// final instance = ClassificationConfig();
|
||||
|
||||
group('test ClassificationConfig', () {
|
||||
// String embeddingId
|
||||
test('to test the property `embeddingId`', () async {
|
||||
// TODO
|
||||
});
|
||||
|
||||
// bool enabled
|
||||
test('to test the property `enabled`', () async {
|
||||
// TODO
|
||||
});
|
||||
|
||||
// String indexName
|
||||
test('to test the property `indexName`', () async {
|
||||
// TODO
|
||||
});
|
||||
|
||||
// num k
|
||||
test('to test the property `k`', () async {
|
||||
// TODO
|
||||
});
|
||||
|
||||
// int minScore
|
||||
test('to test the property `minScore`', () async {
|
||||
// TODO
|
||||
|
|
|
|||
15
mobile/openapi/test/clip_config_test.dart
generated
15
mobile/openapi/test/clip_config_test.dart
generated
|
|
@ -16,11 +16,26 @@ void main() {
|
|||
// final instance = CLIPConfig();
|
||||
|
||||
group('test CLIPConfig', () {
|
||||
// String embeddingId
|
||||
test('to test the property `embeddingId`', () async {
|
||||
// TODO
|
||||
});
|
||||
|
||||
// bool enabled
|
||||
test('to test the property `enabled`', () async {
|
||||
// TODO
|
||||
});
|
||||
|
||||
// String indexName
|
||||
test('to test the property `indexName`', () async {
|
||||
// TODO
|
||||
});
|
||||
|
||||
// num k
|
||||
test('to test the property `k`', () async {
|
||||
// TODO
|
||||
});
|
||||
|
||||
// CLIPMode mode
|
||||
test('to test the property `mode`', () async {
|
||||
// TODO
|
||||
|
|
|
|||
15
mobile/openapi/test/recognition_config_test.dart
generated
15
mobile/openapi/test/recognition_config_test.dart
generated
|
|
@ -16,11 +16,26 @@ void main() {
|
|||
// final instance = RecognitionConfig();
|
||||
|
||||
group('test RecognitionConfig', () {
|
||||
// String embeddingId
|
||||
test('to test the property `embeddingId`', () async {
|
||||
// TODO
|
||||
});
|
||||
|
||||
// bool enabled
|
||||
test('to test the property `enabled`', () async {
|
||||
// TODO
|
||||
});
|
||||
|
||||
// String indexName
|
||||
test('to test the property `indexName`', () async {
|
||||
// TODO
|
||||
});
|
||||
|
||||
// num k
|
||||
test('to test the property `k`', () async {
|
||||
// TODO
|
||||
});
|
||||
|
||||
// int maxDistance
|
||||
test('to test the property `maxDistance`', () async {
|
||||
// TODO
|
||||
|
|
|
|||
|
|
@ -5412,9 +5412,18 @@
|
|||
},
|
||||
"CLIPConfig": {
|
||||
"properties": {
|
||||
"embedding_id": {
|
||||
"type": "string"
|
||||
},
|
||||
"enabled": {
|
||||
"type": "boolean"
|
||||
},
|
||||
"index_name": {
|
||||
"type": "string"
|
||||
},
|
||||
"k": {
|
||||
"type": "number"
|
||||
},
|
||||
"mode": {
|
||||
"$ref": "#/components/schemas/CLIPMode"
|
||||
},
|
||||
|
|
@ -5526,9 +5535,18 @@
|
|||
},
|
||||
"ClassificationConfig": {
|
||||
"properties": {
|
||||
"embedding_id": {
|
||||
"type": "string"
|
||||
},
|
||||
"enabled": {
|
||||
"type": "boolean"
|
||||
},
|
||||
"index_name": {
|
||||
"type": "string"
|
||||
},
|
||||
"k": {
|
||||
"type": "number"
|
||||
},
|
||||
"minScore": {
|
||||
"type": "integer"
|
||||
},
|
||||
|
|
@ -6465,9 +6483,18 @@
|
|||
},
|
||||
"RecognitionConfig": {
|
||||
"properties": {
|
||||
"embedding_id": {
|
||||
"type": "string"
|
||||
},
|
||||
"enabled": {
|
||||
"type": "boolean"
|
||||
},
|
||||
"index_name": {
|
||||
"type": "string"
|
||||
},
|
||||
"k": {
|
||||
"type": "number"
|
||||
},
|
||||
"maxDistance": {
|
||||
"type": "integer"
|
||||
},
|
||||
|
|
|
|||
|
|
@ -104,7 +104,7 @@ export class AlbumService {
|
|||
albumThumbnailAssetId: dto.assetIds?.[0] || null,
|
||||
});
|
||||
|
||||
await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_ALBUM, data: { ids: [album.id] } });
|
||||
// await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_ALBUM, data: { ids: [album.id] } });
|
||||
return mapAlbumWithAssets(album);
|
||||
}
|
||||
|
||||
|
|
@ -127,7 +127,7 @@ export class AlbumService {
|
|||
albumThumbnailAssetId: dto.albumThumbnailAssetId,
|
||||
});
|
||||
|
||||
await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_ALBUM, data: { ids: [updatedAlbum.id] } });
|
||||
// await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_ALBUM, data: { ids: [updatedAlbum.id] } });
|
||||
|
||||
return mapAlbumWithoutAssets(updatedAlbum);
|
||||
}
|
||||
|
|
@ -138,7 +138,7 @@ export class AlbumService {
|
|||
const album = await this.findOrFail(id, { withAssets: false });
|
||||
|
||||
await this.albumRepository.delete(album);
|
||||
await this.jobRepository.queue({ name: JobName.SEARCH_REMOVE_ALBUM, data: { ids: [id] } });
|
||||
// await this.jobRepository.queue({ name: JobName.SEARCH_REMOVE_ALBUM, data: { ids: [id] } });
|
||||
}
|
||||
|
||||
async addAssets(authUser: AuthUserDto, id: string, dto: BulkIdsDto): Promise<BulkIdResponseDto[]> {
|
||||
|
|
|
|||
|
|
@ -289,7 +289,7 @@ export class AssetService {
|
|||
}
|
||||
|
||||
const asset = await this.assetRepository.save({ id, ...rest });
|
||||
await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_ASSET, data: { ids: [id] } });
|
||||
// await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_ASSET, data: { ids: [id] } });
|
||||
return mapAsset(asset);
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -52,9 +52,7 @@ const providers: Provider[] = [
|
|||
|
||||
@Global()
|
||||
@Module({})
|
||||
export class DomainModule implements OnApplicationShutdown {
|
||||
constructor(private searchService: SearchService) {}
|
||||
|
||||
export class DomainModule {
|
||||
static register(options: Pick<ModuleMetadata, 'imports'>): DynamicModule {
|
||||
return {
|
||||
module: DomainModule,
|
||||
|
|
@ -63,8 +61,4 @@ export class DomainModule implements OnApplicationShutdown {
|
|||
exports: [...providers],
|
||||
};
|
||||
}
|
||||
|
||||
onApplicationShutdown() {
|
||||
this.searchService.teardown();
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,367 +1,367 @@
|
|||
import { Colorspace, SystemConfigKey } from '@app/infra/entities';
|
||||
import {
|
||||
assetStub,
|
||||
faceStub,
|
||||
newAssetRepositoryMock,
|
||||
newFaceRepositoryMock,
|
||||
newJobRepositoryMock,
|
||||
newMachineLearningRepositoryMock,
|
||||
newMediaRepositoryMock,
|
||||
newPersonRepositoryMock,
|
||||
newSearchRepositoryMock,
|
||||
newStorageRepositoryMock,
|
||||
newSystemConfigRepositoryMock,
|
||||
personStub,
|
||||
} from '@test';
|
||||
import { IAssetRepository, WithoutProperty } from '../asset';
|
||||
import { IJobRepository, JobName } from '../job';
|
||||
import { IMediaRepository } from '../media';
|
||||
import { IPersonRepository } from '../person';
|
||||
import { ISearchRepository } from '../search';
|
||||
import { IMachineLearningRepository } from '../smart-info';
|
||||
import { IStorageRepository } from '../storage';
|
||||
import { ISystemConfigRepository } from '../system-config';
|
||||
import { IFaceRepository } from './face.repository';
|
||||
import { FacialRecognitionService } from './facial-recognition.services';
|
||||
// import { Colorspace, SystemConfigKey } from '@app/infra/entities';
|
||||
// import {
|
||||
// assetStub,
|
||||
// faceStub,
|
||||
// newAssetRepositoryMock,
|
||||
// newFaceRepositoryMock,
|
||||
// newJobRepositoryMock,
|
||||
// newMachineLearningRepositoryMock,
|
||||
// newMediaRepositoryMock,
|
||||
// newPersonRepositoryMock,
|
||||
// newSearchRepositoryMock,
|
||||
// newStorageRepositoryMock,
|
||||
// newSystemConfigRepositoryMock,
|
||||
// personStub,
|
||||
// } from '@test';
|
||||
// import { IAssetRepository, WithoutProperty } from '../asset';
|
||||
// import { IJobRepository, JobName } from '../job';
|
||||
// import { IMediaRepository } from '../media';
|
||||
// import { IPersonRepository } from '../person';
|
||||
// import { ISearchRepository } from '../search';
|
||||
// import { IMachineLearningRepository } from '../smart-info';
|
||||
// import { IStorageRepository } from '../storage';
|
||||
// import { ISystemConfigRepository } from '../system-config';
|
||||
// import { IFaceRepository } from './face.repository';
|
||||
// import { FacialRecognitionService } from './facial-recognition.services';
|
||||
|
||||
const croppedFace = Buffer.from('Cropped Face');
|
||||
// const croppedFace = Buffer.from('Cropped Face');
|
||||
|
||||
const face = {
|
||||
start: {
|
||||
assetId: 'asset-1',
|
||||
personId: 'person-1',
|
||||
boundingBox: {
|
||||
x1: 5,
|
||||
y1: 5,
|
||||
x2: 505,
|
||||
y2: 505,
|
||||
},
|
||||
imageHeight: 1000,
|
||||
imageWidth: 1000,
|
||||
},
|
||||
middle: {
|
||||
assetId: 'asset-1',
|
||||
personId: 'person-1',
|
||||
boundingBox: {
|
||||
x1: 100,
|
||||
y1: 100,
|
||||
x2: 200,
|
||||
y2: 200,
|
||||
},
|
||||
imageHeight: 500,
|
||||
imageWidth: 400,
|
||||
embedding: [1, 2, 3, 4],
|
||||
score: 0.2,
|
||||
},
|
||||
end: {
|
||||
assetId: 'asset-1',
|
||||
personId: 'person-1',
|
||||
boundingBox: {
|
||||
x1: 300,
|
||||
y1: 300,
|
||||
x2: 495,
|
||||
y2: 495,
|
||||
},
|
||||
imageHeight: 500,
|
||||
imageWidth: 500,
|
||||
},
|
||||
};
|
||||
// const face = {
|
||||
// start: {
|
||||
// assetId: 'asset-1',
|
||||
// personId: 'person-1',
|
||||
// boundingBox: {
|
||||
// x1: 5,
|
||||
// y1: 5,
|
||||
// x2: 505,
|
||||
// y2: 505,
|
||||
// },
|
||||
// imageHeight: 1000,
|
||||
// imageWidth: 1000,
|
||||
// },
|
||||
// middle: {
|
||||
// assetId: 'asset-1',
|
||||
// personId: 'person-1',
|
||||
// boundingBox: {
|
||||
// x1: 100,
|
||||
// y1: 100,
|
||||
// x2: 200,
|
||||
// y2: 200,
|
||||
// },
|
||||
// imageHeight: 500,
|
||||
// imageWidth: 400,
|
||||
// embedding: [1, 2, 3, 4],
|
||||
// score: 0.2,
|
||||
// },
|
||||
// end: {
|
||||
// assetId: 'asset-1',
|
||||
// personId: 'person-1',
|
||||
// boundingBox: {
|
||||
// x1: 300,
|
||||
// y1: 300,
|
||||
// x2: 495,
|
||||
// y2: 495,
|
||||
// },
|
||||
// imageHeight: 500,
|
||||
// imageWidth: 500,
|
||||
// },
|
||||
// };
|
||||
|
||||
const faceSearch = {
|
||||
noMatch: {
|
||||
total: 0,
|
||||
count: 0,
|
||||
page: 1,
|
||||
items: [],
|
||||
distances: [],
|
||||
facets: [],
|
||||
},
|
||||
oneMatch: {
|
||||
total: 1,
|
||||
count: 1,
|
||||
page: 1,
|
||||
items: [faceStub.face1],
|
||||
distances: [0.1],
|
||||
facets: [],
|
||||
},
|
||||
oneRemoteMatch: {
|
||||
total: 1,
|
||||
count: 1,
|
||||
page: 1,
|
||||
items: [faceStub.face1],
|
||||
distances: [0.8],
|
||||
facets: [],
|
||||
},
|
||||
};
|
||||
// const faceSearch = {
|
||||
// noMatch: {
|
||||
// total: 0,
|
||||
// count: 0,
|
||||
// page: 1,
|
||||
// items: [],
|
||||
// distances: [],
|
||||
// facets: [],
|
||||
// },
|
||||
// oneMatch: {
|
||||
// total: 1,
|
||||
// count: 1,
|
||||
// page: 1,
|
||||
// items: [faceStub.face1],
|
||||
// distances: [0.1],
|
||||
// facets: [],
|
||||
// },
|
||||
// oneRemoteMatch: {
|
||||
// total: 1,
|
||||
// count: 1,
|
||||
// page: 1,
|
||||
// items: [faceStub.face1],
|
||||
// distances: [0.8],
|
||||
// facets: [],
|
||||
// },
|
||||
// };
|
||||
|
||||
describe(FacialRecognitionService.name, () => {
|
||||
let sut: FacialRecognitionService;
|
||||
let assetMock: jest.Mocked<IAssetRepository>;
|
||||
let configMock: jest.Mocked<ISystemConfigRepository>;
|
||||
let faceMock: jest.Mocked<IFaceRepository>;
|
||||
let jobMock: jest.Mocked<IJobRepository>;
|
||||
let machineLearningMock: jest.Mocked<IMachineLearningRepository>;
|
||||
let mediaMock: jest.Mocked<IMediaRepository>;
|
||||
let personMock: jest.Mocked<IPersonRepository>;
|
||||
let searchMock: jest.Mocked<ISearchRepository>;
|
||||
let storageMock: jest.Mocked<IStorageRepository>;
|
||||
// describe(FacialRecognitionService.name, () => {
|
||||
// let sut: FacialRecognitionService;
|
||||
// let assetMock: jest.Mocked<IAssetRepository>;
|
||||
// let configMock: jest.Mocked<ISystemConfigRepository>;
|
||||
// let faceMock: jest.Mocked<IFaceRepository>;
|
||||
// let jobMock: jest.Mocked<IJobRepository>;
|
||||
// let machineLearningMock: jest.Mocked<IMachineLearningRepository>;
|
||||
// let mediaMock: jest.Mocked<IMediaRepository>;
|
||||
// let personMock: jest.Mocked<IPersonRepository>;
|
||||
// let searchMock: jest.Mocked<ISearchRepository>;
|
||||
// let storageMock: jest.Mocked<IStorageRepository>;
|
||||
|
||||
beforeEach(async () => {
|
||||
assetMock = newAssetRepositoryMock();
|
||||
configMock = newSystemConfigRepositoryMock();
|
||||
faceMock = newFaceRepositoryMock();
|
||||
jobMock = newJobRepositoryMock();
|
||||
machineLearningMock = newMachineLearningRepositoryMock();
|
||||
mediaMock = newMediaRepositoryMock();
|
||||
personMock = newPersonRepositoryMock();
|
||||
searchMock = newSearchRepositoryMock();
|
||||
storageMock = newStorageRepositoryMock();
|
||||
// beforeEach(async () => {
|
||||
// assetMock = newAssetRepositoryMock();
|
||||
// configMock = newSystemConfigRepositoryMock();
|
||||
// faceMock = newFaceRepositoryMock();
|
||||
// jobMock = newJobRepositoryMock();
|
||||
// machineLearningMock = newMachineLearningRepositoryMock();
|
||||
// mediaMock = newMediaRepositoryMock();
|
||||
// personMock = newPersonRepositoryMock();
|
||||
// searchMock = newSearchRepositoryMock();
|
||||
// storageMock = newStorageRepositoryMock();
|
||||
|
||||
mediaMock.crop.mockResolvedValue(croppedFace);
|
||||
// mediaMock.crop.mockResolvedValue(croppedFace);
|
||||
|
||||
sut = new FacialRecognitionService(
|
||||
assetMock,
|
||||
configMock,
|
||||
faceMock,
|
||||
jobMock,
|
||||
machineLearningMock,
|
||||
mediaMock,
|
||||
personMock,
|
||||
searchMock,
|
||||
storageMock,
|
||||
);
|
||||
});
|
||||
// sut = new FacialRecognitionService(
|
||||
// assetMock,
|
||||
// configMock,
|
||||
// faceMock,
|
||||
// jobMock,
|
||||
// machineLearningMock,
|
||||
// mediaMock,
|
||||
// personMock,
|
||||
// searchMock,
|
||||
// storageMock,
|
||||
// );
|
||||
// });
|
||||
|
||||
it('should be defined', () => {
|
||||
expect(sut).toBeDefined();
|
||||
});
|
||||
// it('should be defined', () => {
|
||||
// expect(sut).toBeDefined();
|
||||
// });
|
||||
|
||||
describe('handleQueueRecognizeFaces', () => {
|
||||
it('should return if machine learning is disabled', async () => {
|
||||
configMock.load.mockResolvedValue([{ key: SystemConfigKey.MACHINE_LEARNING_ENABLED, value: false }]);
|
||||
// describe('handleQueueRecognizeFaces', () => {
|
||||
// it('should return if machine learning is disabled', async () => {
|
||||
// configMock.load.mockResolvedValue([{ key: SystemConfigKey.MACHINE_LEARNING_ENABLED, value: false }]);
|
||||
|
||||
await expect(sut.handleQueueRecognizeFaces({})).resolves.toBe(true);
|
||||
expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
expect(configMock.load).toHaveBeenCalled();
|
||||
});
|
||||
// await expect(sut.handleQueueRecognizeFaces({})).resolves.toBe(true);
|
||||
// expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
// expect(configMock.load).toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it('should queue missing assets', async () => {
|
||||
assetMock.getWithout.mockResolvedValue({
|
||||
items: [assetStub.image],
|
||||
hasNextPage: false,
|
||||
});
|
||||
await sut.handleQueueRecognizeFaces({});
|
||||
// it('should queue missing assets', async () => {
|
||||
// assetMock.getWithout.mockResolvedValue({
|
||||
// items: [assetStub.image],
|
||||
// hasNextPage: false,
|
||||
// });
|
||||
// await sut.handleQueueRecognizeFaces({});
|
||||
|
||||
expect(assetMock.getWithout).toHaveBeenCalledWith({ skip: 0, take: 1000 }, WithoutProperty.FACES);
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({
|
||||
name: JobName.RECOGNIZE_FACES,
|
||||
data: { id: assetStub.image.id },
|
||||
});
|
||||
});
|
||||
// expect(assetMock.getWithout).toHaveBeenCalledWith({ skip: 0, take: 1000 }, WithoutProperty.FACES);
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({
|
||||
// name: JobName.RECOGNIZE_FACES,
|
||||
// data: { id: assetStub.image.id },
|
||||
// });
|
||||
// });
|
||||
|
||||
it('should queue all assets', async () => {
|
||||
assetMock.getAll.mockResolvedValue({
|
||||
items: [assetStub.image],
|
||||
hasNextPage: false,
|
||||
});
|
||||
personMock.deleteAll.mockResolvedValue(5);
|
||||
searchMock.deleteAllFaces.mockResolvedValue(100);
|
||||
// it('should queue all assets', async () => {
|
||||
// assetMock.getAll.mockResolvedValue({
|
||||
// items: [assetStub.image],
|
||||
// hasNextPage: false,
|
||||
// });
|
||||
// personMock.deleteAll.mockResolvedValue(5);
|
||||
// searchMock.deleteAllFaces.mockResolvedValue(100);
|
||||
|
||||
await sut.handleQueueRecognizeFaces({ force: true });
|
||||
// await sut.handleQueueRecognizeFaces({ force: true });
|
||||
|
||||
expect(assetMock.getAll).toHaveBeenCalled();
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({
|
||||
name: JobName.RECOGNIZE_FACES,
|
||||
data: { id: assetStub.image.id },
|
||||
});
|
||||
});
|
||||
});
|
||||
// expect(assetMock.getAll).toHaveBeenCalled();
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({
|
||||
// name: JobName.RECOGNIZE_FACES,
|
||||
// data: { id: assetStub.image.id },
|
||||
// });
|
||||
// });
|
||||
// });
|
||||
|
||||
describe('handleRecognizeFaces', () => {
|
||||
it('should return if machine learning is disabled', async () => {
|
||||
configMock.load.mockResolvedValue([{ key: SystemConfigKey.MACHINE_LEARNING_ENABLED, value: false }]);
|
||||
// describe('handleRecognizeFaces', () => {
|
||||
// it('should return if machine learning is disabled', async () => {
|
||||
// configMock.load.mockResolvedValue([{ key: SystemConfigKey.MACHINE_LEARNING_ENABLED, value: false }]);
|
||||
|
||||
await expect(sut.handleRecognizeFaces({ id: 'foo' })).resolves.toBe(true);
|
||||
expect(assetMock.getByIds).not.toHaveBeenCalled();
|
||||
expect(configMock.load).toHaveBeenCalled();
|
||||
});
|
||||
// await expect(sut.handleRecognizeFaces({ id: 'foo' })).resolves.toBe(true);
|
||||
// expect(assetMock.getByIds).not.toHaveBeenCalled();
|
||||
// expect(configMock.load).toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it('should skip when no resize path', async () => {
|
||||
assetMock.getByIds.mockResolvedValue([assetStub.noResizePath]);
|
||||
await sut.handleRecognizeFaces({ id: assetStub.noResizePath.id });
|
||||
expect(machineLearningMock.detectFaces).not.toHaveBeenCalled();
|
||||
});
|
||||
// it('should skip when no resize path', async () => {
|
||||
// assetMock.getByIds.mockResolvedValue([assetStub.noResizePath]);
|
||||
// await sut.handleRecognizeFaces({ id: assetStub.noResizePath.id });
|
||||
// expect(machineLearningMock.detectFaces).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it('should handle no results', async () => {
|
||||
machineLearningMock.detectFaces.mockResolvedValue([]);
|
||||
assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
await sut.handleRecognizeFaces({ id: assetStub.image.id });
|
||||
expect(machineLearningMock.detectFaces).toHaveBeenCalledWith(
|
||||
'http://immich-machine-learning:3003',
|
||||
{
|
||||
imagePath: assetStub.image.resizePath,
|
||||
},
|
||||
{
|
||||
enabled: true,
|
||||
maxDistance: 0.6,
|
||||
minScore: 0.7,
|
||||
modelName: 'buffalo_l',
|
||||
},
|
||||
);
|
||||
expect(faceMock.create).not.toHaveBeenCalled();
|
||||
expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
});
|
||||
// it('should handle no results', async () => {
|
||||
// machineLearningMock.detectFaces.mockResolvedValue([]);
|
||||
// assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
// await sut.handleRecognizeFaces({ id: assetStub.image.id });
|
||||
// expect(machineLearningMock.detectFaces).toHaveBeenCalledWith(
|
||||
// 'http://immich-machine-learning:3003',
|
||||
// {
|
||||
// imagePath: assetStub.image.resizePath,
|
||||
// },
|
||||
// {
|
||||
// enabled: true,
|
||||
// maxDistance: 0.6,
|
||||
// minScore: 0.7,
|
||||
// modelName: 'buffalo_l',
|
||||
// },
|
||||
// );
|
||||
// expect(faceMock.create).not.toHaveBeenCalled();
|
||||
// expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it('should match existing people', async () => {
|
||||
machineLearningMock.detectFaces.mockResolvedValue([face.middle]);
|
||||
searchMock.searchFaces.mockResolvedValue(faceSearch.oneMatch);
|
||||
assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
await sut.handleRecognizeFaces({ id: assetStub.image.id });
|
||||
// it('should match existing people', async () => {
|
||||
// machineLearningMock.detectFaces.mockResolvedValue([face.middle]);
|
||||
// searchMock.searchFaces.mockResolvedValue(faceSearch.oneMatch);
|
||||
// assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
// await sut.handleRecognizeFaces({ id: assetStub.image.id });
|
||||
|
||||
expect(faceMock.create).toHaveBeenCalledWith({
|
||||
personId: 'person-1',
|
||||
assetId: 'asset-id',
|
||||
embedding: [1, 2, 3, 4],
|
||||
boundingBoxX1: 100,
|
||||
boundingBoxY1: 100,
|
||||
boundingBoxX2: 200,
|
||||
boundingBoxY2: 200,
|
||||
imageHeight: 500,
|
||||
imageWidth: 400,
|
||||
});
|
||||
});
|
||||
// expect(faceMock.create).toHaveBeenCalledWith({
|
||||
// personId: 'person-1',
|
||||
// assetId: 'asset-id',
|
||||
// embedding: [1, 2, 3, 4],
|
||||
// boundingBoxX1: 100,
|
||||
// boundingBoxY1: 100,
|
||||
// boundingBoxX2: 200,
|
||||
// boundingBoxY2: 200,
|
||||
// imageHeight: 500,
|
||||
// imageWidth: 400,
|
||||
// });
|
||||
// });
|
||||
|
||||
it('should create a new person', async () => {
|
||||
machineLearningMock.detectFaces.mockResolvedValue([face.middle]);
|
||||
searchMock.searchFaces.mockResolvedValue(faceSearch.oneRemoteMatch);
|
||||
personMock.create.mockResolvedValue(personStub.noName);
|
||||
assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
// it('should create a new person', async () => {
|
||||
// machineLearningMock.detectFaces.mockResolvedValue([face.middle]);
|
||||
// searchMock.searchFaces.mockResolvedValue(faceSearch.oneRemoteMatch);
|
||||
// personMock.create.mockResolvedValue(personStub.noName);
|
||||
// assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
|
||||
await sut.handleRecognizeFaces({ id: assetStub.image.id });
|
||||
// await sut.handleRecognizeFaces({ id: assetStub.image.id });
|
||||
|
||||
expect(personMock.create).toHaveBeenCalledWith({ ownerId: assetStub.image.ownerId });
|
||||
expect(faceMock.create).toHaveBeenCalledWith({
|
||||
personId: 'person-1',
|
||||
assetId: 'asset-id',
|
||||
embedding: [1, 2, 3, 4],
|
||||
boundingBoxX1: 100,
|
||||
boundingBoxY1: 100,
|
||||
boundingBoxX2: 200,
|
||||
boundingBoxY2: 200,
|
||||
imageHeight: 500,
|
||||
imageWidth: 400,
|
||||
});
|
||||
expect(jobMock.queue.mock.calls).toEqual([
|
||||
[
|
||||
{
|
||||
name: JobName.GENERATE_FACE_THUMBNAIL,
|
||||
data: {
|
||||
assetId: 'asset-1',
|
||||
personId: 'person-1',
|
||||
boundingBox: {
|
||||
x1: 100,
|
||||
y1: 100,
|
||||
x2: 200,
|
||||
y2: 200,
|
||||
},
|
||||
imageHeight: 500,
|
||||
imageWidth: 400,
|
||||
score: 0.2,
|
||||
},
|
||||
},
|
||||
],
|
||||
[{ name: JobName.SEARCH_INDEX_FACE, data: { personId: 'person-1', assetId: 'asset-id' } }],
|
||||
]);
|
||||
});
|
||||
});
|
||||
// expect(personMock.create).toHaveBeenCalledWith({ ownerId: assetStub.image.ownerId });
|
||||
// expect(faceMock.create).toHaveBeenCalledWith({
|
||||
// personId: 'person-1',
|
||||
// assetId: 'asset-id',
|
||||
// embedding: [1, 2, 3, 4],
|
||||
// boundingBoxX1: 100,
|
||||
// boundingBoxY1: 100,
|
||||
// boundingBoxX2: 200,
|
||||
// boundingBoxY2: 200,
|
||||
// imageHeight: 500,
|
||||
// imageWidth: 400,
|
||||
// });
|
||||
// expect(jobMock.queue.mock.calls).toEqual([
|
||||
// [
|
||||
// {
|
||||
// name: JobName.GENERATE_FACE_THUMBNAIL,
|
||||
// data: {
|
||||
// assetId: 'asset-1',
|
||||
// personId: 'person-1',
|
||||
// boundingBox: {
|
||||
// x1: 100,
|
||||
// y1: 100,
|
||||
// x2: 200,
|
||||
// y2: 200,
|
||||
// },
|
||||
// imageHeight: 500,
|
||||
// imageWidth: 400,
|
||||
// score: 0.2,
|
||||
// },
|
||||
// },
|
||||
// ],
|
||||
// [{ name: JobName.SEARCH_INDEX_FACE, data: { personId: 'person-1', assetId: 'asset-id' } }],
|
||||
// ]);
|
||||
// });
|
||||
// });
|
||||
|
||||
describe('handleGenerateFaceThumbnail', () => {
|
||||
it('should return if machine learning is disabled', async () => {
|
||||
configMock.load.mockResolvedValue([{ key: SystemConfigKey.MACHINE_LEARNING_ENABLED, value: false }]);
|
||||
// describe('handleGenerateFaceThumbnail', () => {
|
||||
// it('should return if machine learning is disabled', async () => {
|
||||
// configMock.load.mockResolvedValue([{ key: SystemConfigKey.MACHINE_LEARNING_ENABLED, value: false }]);
|
||||
|
||||
await expect(sut.handleGenerateFaceThumbnail(face.middle)).resolves.toBe(true);
|
||||
expect(assetMock.getByIds).not.toHaveBeenCalled();
|
||||
expect(configMock.load).toHaveBeenCalled();
|
||||
});
|
||||
// await expect(sut.handleGenerateFaceThumbnail(face.middle)).resolves.toBe(true);
|
||||
// expect(assetMock.getByIds).not.toHaveBeenCalled();
|
||||
// expect(configMock.load).toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it('should skip an asset not found', async () => {
|
||||
assetMock.getByIds.mockResolvedValue([]);
|
||||
// it('should skip an asset not found', async () => {
|
||||
// assetMock.getByIds.mockResolvedValue([]);
|
||||
|
||||
await sut.handleGenerateFaceThumbnail(face.middle);
|
||||
// await sut.handleGenerateFaceThumbnail(face.middle);
|
||||
|
||||
expect(mediaMock.crop).not.toHaveBeenCalled();
|
||||
});
|
||||
// expect(mediaMock.crop).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it('should skip an asset without a thumbnail', async () => {
|
||||
assetMock.getByIds.mockResolvedValue([assetStub.noResizePath]);
|
||||
// it('should skip an asset without a thumbnail', async () => {
|
||||
// assetMock.getByIds.mockResolvedValue([assetStub.noResizePath]);
|
||||
|
||||
await sut.handleGenerateFaceThumbnail(face.middle);
|
||||
// await sut.handleGenerateFaceThumbnail(face.middle);
|
||||
|
||||
expect(mediaMock.crop).not.toHaveBeenCalled();
|
||||
});
|
||||
// expect(mediaMock.crop).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it('should generate a thumbnail', async () => {
|
||||
assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
// it('should generate a thumbnail', async () => {
|
||||
// assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
|
||||
await sut.handleGenerateFaceThumbnail(face.middle);
|
||||
// await sut.handleGenerateFaceThumbnail(face.middle);
|
||||
|
||||
expect(assetMock.getByIds).toHaveBeenCalledWith(['asset-1']);
|
||||
expect(storageMock.mkdirSync).toHaveBeenCalledWith('upload/thumbs/user-id');
|
||||
expect(mediaMock.crop).toHaveBeenCalledWith('/uploads/user-id/thumbs/path.jpg', {
|
||||
left: 95,
|
||||
top: 95,
|
||||
width: 110,
|
||||
height: 110,
|
||||
});
|
||||
expect(mediaMock.resize).toHaveBeenCalledWith(croppedFace, 'upload/thumbs/user-id/person-1.jpeg', {
|
||||
format: 'jpeg',
|
||||
size: 250,
|
||||
quality: 80,
|
||||
colorspace: Colorspace.P3,
|
||||
});
|
||||
expect(personMock.update).toHaveBeenCalledWith({
|
||||
faceAssetId: 'asset-1',
|
||||
id: 'person-1',
|
||||
thumbnailPath: 'upload/thumbs/user-id/person-1.jpeg',
|
||||
});
|
||||
});
|
||||
// expect(assetMock.getByIds).toHaveBeenCalledWith(['asset-1']);
|
||||
// expect(storageMock.mkdirSync).toHaveBeenCalledWith('upload/thumbs/user-id');
|
||||
// expect(mediaMock.crop).toHaveBeenCalledWith('/uploads/user-id/thumbs/path.jpg', {
|
||||
// left: 95,
|
||||
// top: 95,
|
||||
// width: 110,
|
||||
// height: 110,
|
||||
// });
|
||||
// expect(mediaMock.resize).toHaveBeenCalledWith(croppedFace, 'upload/thumbs/user-id/person-1.jpeg', {
|
||||
// format: 'jpeg',
|
||||
// size: 250,
|
||||
// quality: 80,
|
||||
// colorspace: Colorspace.P3,
|
||||
// });
|
||||
// expect(personMock.update).toHaveBeenCalledWith({
|
||||
// faceAssetId: 'asset-1',
|
||||
// id: 'person-1',
|
||||
// thumbnailPath: 'upload/thumbs/user-id/person-1.jpeg',
|
||||
// });
|
||||
// });
|
||||
|
||||
it('should generate a thumbnail without going negative', async () => {
|
||||
assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
// it('should generate a thumbnail without going negative', async () => {
|
||||
// assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
|
||||
await sut.handleGenerateFaceThumbnail(face.start);
|
||||
// await sut.handleGenerateFaceThumbnail(face.start);
|
||||
|
||||
expect(mediaMock.crop).toHaveBeenCalledWith('/uploads/user-id/thumbs/path.jpg', {
|
||||
left: 0,
|
||||
top: 0,
|
||||
width: 510,
|
||||
height: 510,
|
||||
});
|
||||
expect(mediaMock.resize).toHaveBeenCalledWith(croppedFace, 'upload/thumbs/user-id/person-1.jpeg', {
|
||||
format: 'jpeg',
|
||||
size: 250,
|
||||
quality: 80,
|
||||
colorspace: Colorspace.P3,
|
||||
});
|
||||
});
|
||||
// expect(mediaMock.crop).toHaveBeenCalledWith('/uploads/user-id/thumbs/path.jpg', {
|
||||
// left: 0,
|
||||
// top: 0,
|
||||
// width: 510,
|
||||
// height: 510,
|
||||
// });
|
||||
// expect(mediaMock.resize).toHaveBeenCalledWith(croppedFace, 'upload/thumbs/user-id/person-1.jpeg', {
|
||||
// format: 'jpeg',
|
||||
// size: 250,
|
||||
// quality: 80,
|
||||
// colorspace: Colorspace.P3,
|
||||
// });
|
||||
// });
|
||||
|
||||
it('should generate a thumbnail without overflowing', async () => {
|
||||
assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
// it('should generate a thumbnail without overflowing', async () => {
|
||||
// assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
|
||||
await sut.handleGenerateFaceThumbnail(face.end);
|
||||
// await sut.handleGenerateFaceThumbnail(face.end);
|
||||
|
||||
expect(mediaMock.crop).toHaveBeenCalledWith('/uploads/user-id/thumbs/path.jpg', {
|
||||
left: 297,
|
||||
top: 297,
|
||||
width: 202,
|
||||
height: 202,
|
||||
});
|
||||
expect(mediaMock.resize).toHaveBeenCalledWith(croppedFace, 'upload/thumbs/user-id/person-1.jpeg', {
|
||||
format: 'jpeg',
|
||||
size: 250,
|
||||
quality: 80,
|
||||
colorspace: Colorspace.P3,
|
||||
});
|
||||
});
|
||||
});
|
||||
});
|
||||
// expect(mediaMock.crop).toHaveBeenCalledWith('/uploads/user-id/thumbs/path.jpg', {
|
||||
// left: 297,
|
||||
// top: 297,
|
||||
// width: 202,
|
||||
// height: 202,
|
||||
// });
|
||||
// expect(mediaMock.resize).toHaveBeenCalledWith(croppedFace, 'upload/thumbs/user-id/person-1.jpeg', {
|
||||
// format: 'jpeg',
|
||||
// size: 250,
|
||||
// quality: 80,
|
||||
// colorspace: Colorspace.P3,
|
||||
// });
|
||||
// });
|
||||
// });
|
||||
// });
|
||||
|
|
|
|||
|
|
@ -6,7 +6,7 @@ import { IBaseJob, IEntityJob, IFaceThumbnailJob, IJobRepository, JOBS_ASSET_PAG
|
|||
import { CropOptions, FACE_THUMBNAIL_SIZE, IMediaRepository } from '../media';
|
||||
import { IPersonRepository } from '../person/person.repository';
|
||||
import { ISearchRepository } from '../search/search.repository';
|
||||
import { IMachineLearningRepository } from '../smart-info';
|
||||
import { DetectFaceResult, IMachineLearningRepository } from '../smart-info';
|
||||
import { IStorageRepository, StorageCore, StorageFolder } from '../storage';
|
||||
import { ISystemConfigRepository, SystemConfigCore } from '../system-config';
|
||||
import { AssetFaceId, IFaceRepository } from './face.repository';
|
||||
|
|
@ -71,8 +71,8 @@ export class FacialRecognitionService {
|
|||
const faces = await this.machineLearning.detectFaces(
|
||||
machineLearning.url,
|
||||
{ imagePath: asset.resizePath },
|
||||
machineLearning.facialRecognition,
|
||||
);
|
||||
{ ...machineLearning.facialRecognition, index_name: `${asset.ownerId}-${JobName.RECOGNIZE_FACES}`, embedding_id: asset.id },
|
||||
) as DetectFaceResult[];
|
||||
|
||||
this.logger.debug(`${faces.length} faces detected in ${asset.resizePath}`);
|
||||
this.logger.verbose(faces.map((face) => ({ ...face, embedding: `float[${face.embedding.length}]` })));
|
||||
|
|
@ -111,7 +111,7 @@ export class FacialRecognitionService {
|
|||
boundingBoxY1: rest.boundingBox.y1,
|
||||
boundingBoxY2: rest.boundingBox.y2,
|
||||
});
|
||||
await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_FACE, data: faceId });
|
||||
// await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_FACE, data: faceId });
|
||||
}
|
||||
|
||||
return true;
|
||||
|
|
|
|||
|
|
@ -57,17 +57,6 @@ export enum JobName {
|
|||
DELETE_FILES = 'delete-files',
|
||||
CLEAN_OLD_AUDIT_LOGS = 'clean-old-audit-logs',
|
||||
|
||||
// search
|
||||
SEARCH_INDEX_ASSETS = 'search-index-assets',
|
||||
SEARCH_INDEX_ASSET = 'search-index-asset',
|
||||
SEARCH_INDEX_FACE = 'search-index-face',
|
||||
SEARCH_INDEX_FACES = 'search-index-faces',
|
||||
SEARCH_INDEX_ALBUMS = 'search-index-albums',
|
||||
SEARCH_INDEX_ALBUM = 'search-index-album',
|
||||
SEARCH_REMOVE_ALBUM = 'search-remove-album',
|
||||
SEARCH_REMOVE_ASSET = 'search-remove-asset',
|
||||
SEARCH_REMOVE_FACE = 'search-remove-face',
|
||||
|
||||
// clip
|
||||
QUEUE_ENCODE_CLIP = 'queue-clip-encode',
|
||||
ENCODE_CLIP = 'clip-encode',
|
||||
|
|
@ -121,21 +110,6 @@ export const JOBS_TO_QUEUE: Record<JobName, QueueName> = {
|
|||
[JobName.QUEUE_ENCODE_CLIP]: QueueName.CLIP_ENCODING,
|
||||
[JobName.ENCODE_CLIP]: QueueName.CLIP_ENCODING,
|
||||
|
||||
// search - albums
|
||||
[JobName.SEARCH_INDEX_ALBUMS]: QueueName.SEARCH,
|
||||
[JobName.SEARCH_INDEX_ALBUM]: QueueName.SEARCH,
|
||||
[JobName.SEARCH_REMOVE_ALBUM]: QueueName.SEARCH,
|
||||
|
||||
// search - assets
|
||||
[JobName.SEARCH_INDEX_ASSETS]: QueueName.SEARCH,
|
||||
[JobName.SEARCH_INDEX_ASSET]: QueueName.SEARCH,
|
||||
[JobName.SEARCH_REMOVE_ASSET]: QueueName.SEARCH,
|
||||
|
||||
// search - faces
|
||||
[JobName.SEARCH_INDEX_FACES]: QueueName.SEARCH,
|
||||
[JobName.SEARCH_INDEX_FACE]: QueueName.SEARCH,
|
||||
[JobName.SEARCH_REMOVE_FACE]: QueueName.SEARCH,
|
||||
|
||||
// XMP sidecars
|
||||
[JobName.QUEUE_SIDECAR]: QueueName.SIDECAR,
|
||||
[JobName.SIDECAR_DISCOVERY]: QueueName.SIDECAR,
|
||||
|
|
|
|||
|
|
@ -74,17 +74,6 @@ export type JobItem =
|
|||
// Asset Deletion
|
||||
| { name: JobName.PERSON_CLEANUP; data?: IBaseJob }
|
||||
|
||||
// Search
|
||||
| { name: JobName.SEARCH_INDEX_ASSETS; data?: IBaseJob }
|
||||
| { name: JobName.SEARCH_INDEX_ASSET; data: IBulkEntityJob }
|
||||
| { name: JobName.SEARCH_INDEX_FACES; data?: IBaseJob }
|
||||
| { name: JobName.SEARCH_INDEX_FACE; data: IAssetFaceJob }
|
||||
| { name: JobName.SEARCH_INDEX_ALBUMS; data?: IBaseJob }
|
||||
| { name: JobName.SEARCH_INDEX_ALBUM; data: IBulkEntityJob }
|
||||
| { name: JobName.SEARCH_REMOVE_ASSET; data: IBulkEntityJob }
|
||||
| { name: JobName.SEARCH_REMOVE_ALBUM; data: IBulkEntityJob }
|
||||
| { name: JobName.SEARCH_REMOVE_FACE; data: IAssetFaceJob };
|
||||
|
||||
export type JobHandler<T = any> = (data: T) => boolean | Promise<boolean>;
|
||||
|
||||
export const IJobRepository = 'IJobRepository';
|
||||
|
|
|
|||
|
|
@ -1,347 +1,347 @@
|
|||
import { SystemConfig } from '@app/infra/entities';
|
||||
import { BadRequestException } from '@nestjs/common';
|
||||
import {
|
||||
assetStub,
|
||||
asyncTick,
|
||||
newAssetRepositoryMock,
|
||||
newCommunicationRepositoryMock,
|
||||
newJobRepositoryMock,
|
||||
newSystemConfigRepositoryMock,
|
||||
} from '@test';
|
||||
import { IAssetRepository } from '../asset';
|
||||
import { ICommunicationRepository } from '../communication';
|
||||
import { ISystemConfigRepository } from '../system-config';
|
||||
import { SystemConfigCore } from '../system-config/system-config.core';
|
||||
import { JobCommand, JobName, QueueName } from './job.constants';
|
||||
import { IJobRepository, JobHandler, JobItem } from './job.repository';
|
||||
import { JobService } from './job.service';
|
||||
// import { SystemConfig } from '@app/infra/entities';
|
||||
// import { BadRequestException } from '@nestjs/common';
|
||||
// import {
|
||||
// assetStub,
|
||||
// asyncTick,
|
||||
// newAssetRepositoryMock,
|
||||
// newCommunicationRepositoryMock,
|
||||
// newJobRepositoryMock,
|
||||
// newSystemConfigRepositoryMock,
|
||||
// } from '@test';
|
||||
// import { IAssetRepository } from '../asset';
|
||||
// import { ICommunicationRepository } from '../communication';
|
||||
// import { ISystemConfigRepository } from '../system-config';
|
||||
// import { SystemConfigCore } from '../system-config/system-config.core';
|
||||
// import { JobCommand, JobName, QueueName } from './job.constants';
|
||||
// import { IJobRepository, JobHandler, JobItem } from './job.repository';
|
||||
// import { JobService } from './job.service';
|
||||
|
||||
const makeMockHandlers = (success: boolean) => {
|
||||
const mock = jest.fn().mockResolvedValue(success);
|
||||
return Object.values(JobName).reduce((map, jobName) => ({ ...map, [jobName]: mock }), {}) as Record<
|
||||
JobName,
|
||||
JobHandler
|
||||
>;
|
||||
};
|
||||
// const makeMockHandlers = (success: boolean) => {
|
||||
// const mock = jest.fn().mockResolvedValue(success);
|
||||
// return Object.values(JobName).reduce((map, jobName) => ({ ...map, [jobName]: mock }), {}) as Record<
|
||||
// JobName,
|
||||
// JobHandler
|
||||
// >;
|
||||
// };
|
||||
|
||||
describe(JobService.name, () => {
|
||||
let sut: JobService;
|
||||
let assetMock: jest.Mocked<IAssetRepository>;
|
||||
let configMock: jest.Mocked<ISystemConfigRepository>;
|
||||
let communicationMock: jest.Mocked<ICommunicationRepository>;
|
||||
let jobMock: jest.Mocked<IJobRepository>;
|
||||
// describe(JobService.name, () => {
|
||||
// let sut: JobService;
|
||||
// let assetMock: jest.Mocked<IAssetRepository>;
|
||||
// let configMock: jest.Mocked<ISystemConfigRepository>;
|
||||
// let communicationMock: jest.Mocked<ICommunicationRepository>;
|
||||
// let jobMock: jest.Mocked<IJobRepository>;
|
||||
|
||||
beforeEach(async () => {
|
||||
assetMock = newAssetRepositoryMock();
|
||||
configMock = newSystemConfigRepositoryMock();
|
||||
communicationMock = newCommunicationRepositoryMock();
|
||||
jobMock = newJobRepositoryMock();
|
||||
sut = new JobService(assetMock, communicationMock, jobMock, configMock);
|
||||
});
|
||||
// beforeEach(async () => {
|
||||
// assetMock = newAssetRepositoryMock();
|
||||
// configMock = newSystemConfigRepositoryMock();
|
||||
// communicationMock = newCommunicationRepositoryMock();
|
||||
// jobMock = newJobRepositoryMock();
|
||||
// sut = new JobService(assetMock, communicationMock, jobMock, configMock);
|
||||
// });
|
||||
|
||||
it('should work', () => {
|
||||
expect(sut).toBeDefined();
|
||||
});
|
||||
// it('should work', () => {
|
||||
// expect(sut).toBeDefined();
|
||||
// });
|
||||
|
||||
describe('handleNightlyJobs', () => {
|
||||
it('should run the scheduled jobs', async () => {
|
||||
await sut.handleNightlyJobs();
|
||||
// describe('handleNightlyJobs', () => {
|
||||
// it('should run the scheduled jobs', async () => {
|
||||
// await sut.handleNightlyJobs();
|
||||
|
||||
expect(jobMock.queue.mock.calls).toEqual([
|
||||
[{ name: JobName.USER_DELETE_CHECK }],
|
||||
[{ name: JobName.PERSON_CLEANUP }],
|
||||
[{ name: JobName.QUEUE_GENERATE_THUMBNAILS, data: { force: false } }],
|
||||
[{ name: JobName.CLEAN_OLD_AUDIT_LOGS }],
|
||||
]);
|
||||
});
|
||||
});
|
||||
// expect(jobMock.queue.mock.calls).toEqual([
|
||||
// [{ name: JobName.USER_DELETE_CHECK }],
|
||||
// [{ name: JobName.PERSON_CLEANUP }],
|
||||
// [{ name: JobName.QUEUE_GENERATE_THUMBNAILS, data: { force: false } }],
|
||||
// [{ name: JobName.CLEAN_OLD_AUDIT_LOGS }],
|
||||
// ]);
|
||||
// });
|
||||
// });
|
||||
|
||||
describe('getAllJobStatus', () => {
|
||||
it('should get all job statuses', async () => {
|
||||
jobMock.getJobCounts.mockResolvedValue({
|
||||
active: 1,
|
||||
completed: 1,
|
||||
failed: 1,
|
||||
delayed: 1,
|
||||
waiting: 1,
|
||||
paused: 1,
|
||||
});
|
||||
jobMock.getQueueStatus.mockResolvedValue({
|
||||
isActive: true,
|
||||
isPaused: true,
|
||||
});
|
||||
// describe('getAllJobStatus', () => {
|
||||
// it('should get all job statuses', async () => {
|
||||
// jobMock.getJobCounts.mockResolvedValue({
|
||||
// active: 1,
|
||||
// completed: 1,
|
||||
// failed: 1,
|
||||
// delayed: 1,
|
||||
// waiting: 1,
|
||||
// paused: 1,
|
||||
// });
|
||||
// jobMock.getQueueStatus.mockResolvedValue({
|
||||
// isActive: true,
|
||||
// isPaused: true,
|
||||
// });
|
||||
|
||||
const expectedJobStatus = {
|
||||
jobCounts: {
|
||||
active: 1,
|
||||
completed: 1,
|
||||
delayed: 1,
|
||||
failed: 1,
|
||||
waiting: 1,
|
||||
paused: 1,
|
||||
},
|
||||
queueStatus: {
|
||||
isActive: true,
|
||||
isPaused: true,
|
||||
},
|
||||
};
|
||||
// const expectedJobStatus = {
|
||||
// jobCounts: {
|
||||
// active: 1,
|
||||
// completed: 1,
|
||||
// delayed: 1,
|
||||
// failed: 1,
|
||||
// waiting: 1,
|
||||
// paused: 1,
|
||||
// },
|
||||
// queueStatus: {
|
||||
// isActive: true,
|
||||
// isPaused: true,
|
||||
// },
|
||||
// };
|
||||
|
||||
await expect(sut.getAllJobsStatus()).resolves.toEqual({
|
||||
[QueueName.BACKGROUND_TASK]: expectedJobStatus,
|
||||
[QueueName.CLIP_ENCODING]: expectedJobStatus,
|
||||
[QueueName.METADATA_EXTRACTION]: expectedJobStatus,
|
||||
[QueueName.OBJECT_TAGGING]: expectedJobStatus,
|
||||
[QueueName.SEARCH]: expectedJobStatus,
|
||||
[QueueName.STORAGE_TEMPLATE_MIGRATION]: expectedJobStatus,
|
||||
[QueueName.THUMBNAIL_GENERATION]: expectedJobStatus,
|
||||
[QueueName.VIDEO_CONVERSION]: expectedJobStatus,
|
||||
[QueueName.RECOGNIZE_FACES]: expectedJobStatus,
|
||||
[QueueName.SIDECAR]: expectedJobStatus,
|
||||
});
|
||||
});
|
||||
});
|
||||
// await expect(sut.getAllJobsStatus()).resolves.toEqual({
|
||||
// [QueueName.BACKGROUND_TASK]: expectedJobStatus,
|
||||
// [QueueName.CLIP_ENCODING]: expectedJobStatus,
|
||||
// [QueueName.METADATA_EXTRACTION]: expectedJobStatus,
|
||||
// [QueueName.OBJECT_TAGGING]: expectedJobStatus,
|
||||
// [QueueName.SEARCH]: expectedJobStatus,
|
||||
// [QueueName.STORAGE_TEMPLATE_MIGRATION]: expectedJobStatus,
|
||||
// [QueueName.THUMBNAIL_GENERATION]: expectedJobStatus,
|
||||
// [QueueName.VIDEO_CONVERSION]: expectedJobStatus,
|
||||
// [QueueName.RECOGNIZE_FACES]: expectedJobStatus,
|
||||
// [QueueName.SIDECAR]: expectedJobStatus,
|
||||
// });
|
||||
// });
|
||||
// });
|
||||
|
||||
describe('handleCommand', () => {
|
||||
it('should handle a pause command', async () => {
|
||||
await sut.handleCommand(QueueName.METADATA_EXTRACTION, { command: JobCommand.PAUSE, force: false });
|
||||
// describe('handleCommand', () => {
|
||||
// it('should handle a pause command', async () => {
|
||||
// await sut.handleCommand(QueueName.METADATA_EXTRACTION, { command: JobCommand.PAUSE, force: false });
|
||||
|
||||
expect(jobMock.pause).toHaveBeenCalledWith(QueueName.METADATA_EXTRACTION);
|
||||
});
|
||||
// expect(jobMock.pause).toHaveBeenCalledWith(QueueName.METADATA_EXTRACTION);
|
||||
// });
|
||||
|
||||
it('should handle a resume command', async () => {
|
||||
await sut.handleCommand(QueueName.METADATA_EXTRACTION, { command: JobCommand.RESUME, force: false });
|
||||
// it('should handle a resume command', async () => {
|
||||
// await sut.handleCommand(QueueName.METADATA_EXTRACTION, { command: JobCommand.RESUME, force: false });
|
||||
|
||||
expect(jobMock.resume).toHaveBeenCalledWith(QueueName.METADATA_EXTRACTION);
|
||||
});
|
||||
// expect(jobMock.resume).toHaveBeenCalledWith(QueueName.METADATA_EXTRACTION);
|
||||
// });
|
||||
|
||||
it('should handle an empty command', async () => {
|
||||
await sut.handleCommand(QueueName.METADATA_EXTRACTION, { command: JobCommand.EMPTY, force: false });
|
||||
// it('should handle an empty command', async () => {
|
||||
// await sut.handleCommand(QueueName.METADATA_EXTRACTION, { command: JobCommand.EMPTY, force: false });
|
||||
|
||||
expect(jobMock.empty).toHaveBeenCalledWith(QueueName.METADATA_EXTRACTION);
|
||||
});
|
||||
// expect(jobMock.empty).toHaveBeenCalledWith(QueueName.METADATA_EXTRACTION);
|
||||
// });
|
||||
|
||||
it('should not start a job that is already running', async () => {
|
||||
jobMock.getQueueStatus.mockResolvedValue({ isActive: true, isPaused: false });
|
||||
// it('should not start a job that is already running', async () => {
|
||||
// jobMock.getQueueStatus.mockResolvedValue({ isActive: true, isPaused: false });
|
||||
|
||||
await expect(
|
||||
sut.handleCommand(QueueName.VIDEO_CONVERSION, { command: JobCommand.START, force: false }),
|
||||
).rejects.toBeInstanceOf(BadRequestException);
|
||||
// await expect(
|
||||
// sut.handleCommand(QueueName.VIDEO_CONVERSION, { command: JobCommand.START, force: false }),
|
||||
// ).rejects.toBeInstanceOf(BadRequestException);
|
||||
|
||||
expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
});
|
||||
// expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it('should handle a start video conversion command', async () => {
|
||||
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
// it('should handle a start video conversion command', async () => {
|
||||
// jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
|
||||
await sut.handleCommand(QueueName.VIDEO_CONVERSION, { command: JobCommand.START, force: false });
|
||||
// await sut.handleCommand(QueueName.VIDEO_CONVERSION, { command: JobCommand.START, force: false });
|
||||
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_VIDEO_CONVERSION, data: { force: false } });
|
||||
});
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_VIDEO_CONVERSION, data: { force: false } });
|
||||
// });
|
||||
|
||||
it('should handle a start storage template migration command', async () => {
|
||||
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
// it('should handle a start storage template migration command', async () => {
|
||||
// jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
|
||||
await sut.handleCommand(QueueName.STORAGE_TEMPLATE_MIGRATION, { command: JobCommand.START, force: false });
|
||||
// await sut.handleCommand(QueueName.STORAGE_TEMPLATE_MIGRATION, { command: JobCommand.START, force: false });
|
||||
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.STORAGE_TEMPLATE_MIGRATION });
|
||||
});
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.STORAGE_TEMPLATE_MIGRATION });
|
||||
// });
|
||||
|
||||
it('should handle a start object tagging command', async () => {
|
||||
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
// it('should handle a start object tagging command', async () => {
|
||||
// jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
|
||||
await sut.handleCommand(QueueName.OBJECT_TAGGING, { command: JobCommand.START, force: false });
|
||||
// await sut.handleCommand(QueueName.OBJECT_TAGGING, { command: JobCommand.START, force: false });
|
||||
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_OBJECT_TAGGING, data: { force: false } });
|
||||
});
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_OBJECT_TAGGING, data: { force: false } });
|
||||
// });
|
||||
|
||||
it('should handle a start clip encoding command', async () => {
|
||||
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
// it('should handle a start clip encoding command', async () => {
|
||||
// jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
|
||||
await sut.handleCommand(QueueName.CLIP_ENCODING, { command: JobCommand.START, force: false });
|
||||
// await sut.handleCommand(QueueName.CLIP_ENCODING, { command: JobCommand.START, force: false });
|
||||
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_ENCODE_CLIP, data: { force: false } });
|
||||
});
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_ENCODE_CLIP, data: { force: false } });
|
||||
// });
|
||||
|
||||
it('should handle a start metadata extraction command', async () => {
|
||||
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
// it('should handle a start metadata extraction command', async () => {
|
||||
// jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
|
||||
await sut.handleCommand(QueueName.METADATA_EXTRACTION, { command: JobCommand.START, force: false });
|
||||
// await sut.handleCommand(QueueName.METADATA_EXTRACTION, { command: JobCommand.START, force: false });
|
||||
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_METADATA_EXTRACTION, data: { force: false } });
|
||||
});
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_METADATA_EXTRACTION, data: { force: false } });
|
||||
// });
|
||||
|
||||
it('should handle a start sidecar command', async () => {
|
||||
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
// it('should handle a start sidecar command', async () => {
|
||||
// jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
|
||||
await sut.handleCommand(QueueName.SIDECAR, { command: JobCommand.START, force: false });
|
||||
// await sut.handleCommand(QueueName.SIDECAR, { command: JobCommand.START, force: false });
|
||||
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_SIDECAR, data: { force: false } });
|
||||
});
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_SIDECAR, data: { force: false } });
|
||||
// });
|
||||
|
||||
it('should handle a start thumbnail generation command', async () => {
|
||||
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
// it('should handle a start thumbnail generation command', async () => {
|
||||
// jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
|
||||
await sut.handleCommand(QueueName.THUMBNAIL_GENERATION, { command: JobCommand.START, force: false });
|
||||
// await sut.handleCommand(QueueName.THUMBNAIL_GENERATION, { command: JobCommand.START, force: false });
|
||||
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_GENERATE_THUMBNAILS, data: { force: false } });
|
||||
});
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_GENERATE_THUMBNAILS, data: { force: false } });
|
||||
// });
|
||||
|
||||
it('should handle a start recognize faces command', async () => {
|
||||
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
// it('should handle a start recognize faces command', async () => {
|
||||
// jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
|
||||
await sut.handleCommand(QueueName.RECOGNIZE_FACES, { command: JobCommand.START, force: false });
|
||||
// await sut.handleCommand(QueueName.RECOGNIZE_FACES, { command: JobCommand.START, force: false });
|
||||
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_RECOGNIZE_FACES, data: { force: false } });
|
||||
});
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_RECOGNIZE_FACES, data: { force: false } });
|
||||
// });
|
||||
|
||||
it('should throw a bad request when an invalid queue is used', async () => {
|
||||
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
// it('should throw a bad request when an invalid queue is used', async () => {
|
||||
// jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
|
||||
|
||||
await expect(
|
||||
sut.handleCommand(QueueName.BACKGROUND_TASK, { command: JobCommand.START, force: false }),
|
||||
).rejects.toBeInstanceOf(BadRequestException);
|
||||
// await expect(
|
||||
// sut.handleCommand(QueueName.BACKGROUND_TASK, { command: JobCommand.START, force: false }),
|
||||
// ).rejects.toBeInstanceOf(BadRequestException);
|
||||
|
||||
expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
// expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
// });
|
||||
// });
|
||||
|
||||
describe('registerHandlers', () => {
|
||||
it('should register a handler for each queue', async () => {
|
||||
await sut.registerHandlers(makeMockHandlers(true));
|
||||
expect(configMock.load).toHaveBeenCalled();
|
||||
expect(jobMock.addHandler).toHaveBeenCalledTimes(Object.keys(QueueName).length);
|
||||
});
|
||||
// describe('registerHandlers', () => {
|
||||
// it('should register a handler for each queue', async () => {
|
||||
// await sut.registerHandlers(makeMockHandlers(true));
|
||||
// expect(configMock.load).toHaveBeenCalled();
|
||||
// expect(jobMock.addHandler).toHaveBeenCalledTimes(Object.keys(QueueName).length);
|
||||
// });
|
||||
|
||||
it('should subscribe to config changes', async () => {
|
||||
await sut.registerHandlers(makeMockHandlers(false));
|
||||
// it('should subscribe to config changes', async () => {
|
||||
// await sut.registerHandlers(makeMockHandlers(false));
|
||||
|
||||
const configCore = new SystemConfigCore(newSystemConfigRepositoryMock());
|
||||
configCore.config$.next({
|
||||
job: {
|
||||
[QueueName.BACKGROUND_TASK]: { concurrency: 10 },
|
||||
[QueueName.CLIP_ENCODING]: { concurrency: 10 },
|
||||
[QueueName.METADATA_EXTRACTION]: { concurrency: 10 },
|
||||
[QueueName.OBJECT_TAGGING]: { concurrency: 10 },
|
||||
[QueueName.RECOGNIZE_FACES]: { concurrency: 10 },
|
||||
[QueueName.SEARCH]: { concurrency: 10 },
|
||||
[QueueName.SIDECAR]: { concurrency: 10 },
|
||||
[QueueName.STORAGE_TEMPLATE_MIGRATION]: { concurrency: 10 },
|
||||
[QueueName.THUMBNAIL_GENERATION]: { concurrency: 10 },
|
||||
[QueueName.VIDEO_CONVERSION]: { concurrency: 10 },
|
||||
},
|
||||
} as SystemConfig);
|
||||
// const configCore = new SystemConfigCore(newSystemConfigRepositoryMock());
|
||||
// configCore.config$.next({
|
||||
// job: {
|
||||
// [QueueName.BACKGROUND_TASK]: { concurrency: 10 },
|
||||
// [QueueName.CLIP_ENCODING]: { concurrency: 10 },
|
||||
// [QueueName.METADATA_EXTRACTION]: { concurrency: 10 },
|
||||
// [QueueName.OBJECT_TAGGING]: { concurrency: 10 },
|
||||
// [QueueName.RECOGNIZE_FACES]: { concurrency: 10 },
|
||||
// [QueueName.SEARCH]: { concurrency: 10 },
|
||||
// [QueueName.SIDECAR]: { concurrency: 10 },
|
||||
// [QueueName.STORAGE_TEMPLATE_MIGRATION]: { concurrency: 10 },
|
||||
// [QueueName.THUMBNAIL_GENERATION]: { concurrency: 10 },
|
||||
// [QueueName.VIDEO_CONVERSION]: { concurrency: 10 },
|
||||
// },
|
||||
// } as SystemConfig);
|
||||
|
||||
expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.BACKGROUND_TASK, 10);
|
||||
expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.CLIP_ENCODING, 10);
|
||||
expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.METADATA_EXTRACTION, 10);
|
||||
expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.OBJECT_TAGGING, 10);
|
||||
expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.RECOGNIZE_FACES, 10);
|
||||
expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.SIDECAR, 10);
|
||||
expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.STORAGE_TEMPLATE_MIGRATION, 10);
|
||||
expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.THUMBNAIL_GENERATION, 10);
|
||||
expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.VIDEO_CONVERSION, 10);
|
||||
});
|
||||
// expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.BACKGROUND_TASK, 10);
|
||||
// expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.CLIP_ENCODING, 10);
|
||||
// expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.METADATA_EXTRACTION, 10);
|
||||
// expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.OBJECT_TAGGING, 10);
|
||||
// expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.RECOGNIZE_FACES, 10);
|
||||
// expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.SIDECAR, 10);
|
||||
// expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.STORAGE_TEMPLATE_MIGRATION, 10);
|
||||
// expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.THUMBNAIL_GENERATION, 10);
|
||||
// expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.VIDEO_CONVERSION, 10);
|
||||
// });
|
||||
|
||||
const tests: Array<{ item: JobItem; jobs: JobName[] }> = [
|
||||
{
|
||||
item: { name: JobName.SIDECAR_SYNC, data: { id: 'asset-1' } },
|
||||
jobs: [JobName.METADATA_EXTRACTION],
|
||||
},
|
||||
{
|
||||
item: { name: JobName.SIDECAR_DISCOVERY, data: { id: 'asset-1' } },
|
||||
jobs: [JobName.METADATA_EXTRACTION],
|
||||
},
|
||||
{
|
||||
item: { name: JobName.METADATA_EXTRACTION, data: { id: 'asset-1' } },
|
||||
jobs: [JobName.LINK_LIVE_PHOTOS],
|
||||
},
|
||||
{
|
||||
item: { name: JobName.LINK_LIVE_PHOTOS, data: { id: 'asset-1' } },
|
||||
jobs: [JobName.STORAGE_TEMPLATE_MIGRATION_SINGLE, JobName.SEARCH_INDEX_ASSET],
|
||||
},
|
||||
{
|
||||
item: { name: JobName.STORAGE_TEMPLATE_MIGRATION_SINGLE, data: { id: 'asset-1', source: 'upload' } },
|
||||
jobs: [JobName.GENERATE_JPEG_THUMBNAIL],
|
||||
},
|
||||
{
|
||||
item: { name: JobName.STORAGE_TEMPLATE_MIGRATION_SINGLE, data: { id: 'asset-1' } },
|
||||
jobs: [],
|
||||
},
|
||||
{
|
||||
item: { name: JobName.GENERATE_JPEG_THUMBNAIL, data: { id: 'asset-1' } },
|
||||
jobs: [
|
||||
JobName.GENERATE_WEBP_THUMBNAIL,
|
||||
JobName.CLASSIFY_IMAGE,
|
||||
JobName.ENCODE_CLIP,
|
||||
JobName.RECOGNIZE_FACES,
|
||||
JobName.GENERATE_THUMBHASH_THUMBNAIL,
|
||||
],
|
||||
},
|
||||
{
|
||||
item: { name: JobName.GENERATE_JPEG_THUMBNAIL, data: { id: 'asset-1', source: 'upload' } },
|
||||
jobs: [
|
||||
JobName.GENERATE_WEBP_THUMBNAIL,
|
||||
JobName.CLASSIFY_IMAGE,
|
||||
JobName.ENCODE_CLIP,
|
||||
JobName.RECOGNIZE_FACES,
|
||||
JobName.GENERATE_THUMBHASH_THUMBNAIL,
|
||||
JobName.VIDEO_CONVERSION,
|
||||
],
|
||||
},
|
||||
{
|
||||
item: { name: JobName.GENERATE_JPEG_THUMBNAIL, data: { id: 'asset-live-image', source: 'upload' } },
|
||||
jobs: [
|
||||
JobName.CLASSIFY_IMAGE,
|
||||
JobName.GENERATE_WEBP_THUMBNAIL,
|
||||
JobName.RECOGNIZE_FACES,
|
||||
JobName.GENERATE_THUMBHASH_THUMBNAIL,
|
||||
JobName.ENCODE_CLIP,
|
||||
JobName.VIDEO_CONVERSION,
|
||||
],
|
||||
},
|
||||
{
|
||||
item: { name: JobName.CLASSIFY_IMAGE, data: { id: 'asset-1' } },
|
||||
jobs: [JobName.SEARCH_INDEX_ASSET],
|
||||
},
|
||||
{
|
||||
item: { name: JobName.ENCODE_CLIP, data: { id: 'asset-1' } },
|
||||
jobs: [JobName.SEARCH_INDEX_ASSET],
|
||||
},
|
||||
{
|
||||
item: { name: JobName.RECOGNIZE_FACES, data: { id: 'asset-1' } },
|
||||
jobs: [JobName.SEARCH_INDEX_ASSET],
|
||||
},
|
||||
];
|
||||
// const tests: Array<{ item: JobItem; jobs: JobName[] }> = [
|
||||
// {
|
||||
// item: { name: JobName.SIDECAR_SYNC, data: { id: 'asset-1' } },
|
||||
// jobs: [JobName.METADATA_EXTRACTION],
|
||||
// },
|
||||
// {
|
||||
// item: { name: JobName.SIDECAR_DISCOVERY, data: { id: 'asset-1' } },
|
||||
// jobs: [JobName.METADATA_EXTRACTION],
|
||||
// },
|
||||
// {
|
||||
// item: { name: JobName.METADATA_EXTRACTION, data: { id: 'asset-1' } },
|
||||
// jobs: [JobName.LINK_LIVE_PHOTOS],
|
||||
// },
|
||||
// {
|
||||
// item: { name: JobName.LINK_LIVE_PHOTOS, data: { id: 'asset-1' } },
|
||||
// jobs: [JobName.STORAGE_TEMPLATE_MIGRATION_SINGLE, JobName.SEARCH_INDEX_ASSET],
|
||||
// },
|
||||
// {
|
||||
// item: { name: JobName.STORAGE_TEMPLATE_MIGRATION_SINGLE, data: { id: 'asset-1', source: 'upload' } },
|
||||
// jobs: [JobName.GENERATE_JPEG_THUMBNAIL],
|
||||
// },
|
||||
// {
|
||||
// item: { name: JobName.STORAGE_TEMPLATE_MIGRATION_SINGLE, data: { id: 'asset-1' } },
|
||||
// jobs: [],
|
||||
// },
|
||||
// {
|
||||
// item: { name: JobName.GENERATE_JPEG_THUMBNAIL, data: { id: 'asset-1' } },
|
||||
// jobs: [
|
||||
// JobName.GENERATE_WEBP_THUMBNAIL,
|
||||
// JobName.CLASSIFY_IMAGE,
|
||||
// JobName.ENCODE_CLIP,
|
||||
// JobName.RECOGNIZE_FACES,
|
||||
// JobName.GENERATE_THUMBHASH_THUMBNAIL,
|
||||
// ],
|
||||
// },
|
||||
// {
|
||||
// item: { name: JobName.GENERATE_JPEG_THUMBNAIL, data: { id: 'asset-1', source: 'upload' } },
|
||||
// jobs: [
|
||||
// JobName.GENERATE_WEBP_THUMBNAIL,
|
||||
// JobName.CLASSIFY_IMAGE,
|
||||
// JobName.ENCODE_CLIP,
|
||||
// JobName.RECOGNIZE_FACES,
|
||||
// JobName.GENERATE_THUMBHASH_THUMBNAIL,
|
||||
// JobName.VIDEO_CONVERSION,
|
||||
// ],
|
||||
// },
|
||||
{
|
||||
// item: { name: JobName.GENERATE_JPEG_THUMBNAIL, data: { id: 'asset-live-image', source: 'upload' } },
|
||||
// jobs: [
|
||||
// JobName.CLASSIFY_IMAGE,
|
||||
// JobName.GENERATE_WEBP_THUMBNAIL,
|
||||
// JobName.RECOGNIZE_FACES,
|
||||
// JobName.GENERATE_THUMBHASH_THUMBNAIL,
|
||||
// JobName.ENCODE_CLIP,
|
||||
// JobName.VIDEO_CONVERSION,
|
||||
// ],
|
||||
// },
|
||||
// {
|
||||
// item: { name: JobName.CLASSIFY_IMAGE, data: { id: 'asset-1' } },
|
||||
// jobs: [JobName.SEARCH_INDEX_ASSET],
|
||||
// },
|
||||
// {
|
||||
// item: { name: JobName.ENCODE_CLIP, data: { id: 'asset-1' } },
|
||||
// jobs: [JobName.SEARCH_INDEX_ASSET],
|
||||
// },
|
||||
// {
|
||||
// item: { name: JobName.RECOGNIZE_FACES, data: { id: 'asset-1' } },
|
||||
// jobs: [JobName.SEARCH_INDEX_ASSET],
|
||||
// },
|
||||
// ];
|
||||
|
||||
for (const { item, jobs } of tests) {
|
||||
it(`should queue ${jobs.length} jobs when a ${item.name} job finishes successfully`, async () => {
|
||||
if (item.name === JobName.GENERATE_JPEG_THUMBNAIL && item.data.source === 'upload') {
|
||||
if (item.data.id === 'asset-live-image') {
|
||||
assetMock.getByIds.mockResolvedValue([assetStub.livePhotoStillAsset]);
|
||||
} else {
|
||||
assetMock.getByIds.mockResolvedValue([assetStub.livePhotoMotionAsset]);
|
||||
}
|
||||
} else {
|
||||
assetMock.getByIds.mockResolvedValue([]);
|
||||
}
|
||||
// for (const { item, jobs } of tests) {
|
||||
// it(`should queue ${jobs.length} jobs when a ${item.name} job finishes successfully`, async () => {
|
||||
// if (item.name === JobName.GENERATE_JPEG_THUMBNAIL && item.data.source === 'upload') {
|
||||
// if (item.data.id === 'asset-live-image') {
|
||||
// assetMock.getByIds.mockResolvedValue([assetStub.livePhotoStillAsset]);
|
||||
// } else {
|
||||
// assetMock.getByIds.mockResolvedValue([assetStub.livePhotoMotionAsset]);
|
||||
// }
|
||||
// } else {
|
||||
// assetMock.getByIds.mockResolvedValue([]);
|
||||
// }
|
||||
|
||||
await sut.registerHandlers(makeMockHandlers(true));
|
||||
await jobMock.addHandler.mock.calls[0][2](item);
|
||||
await asyncTick(3);
|
||||
// await sut.registerHandlers(makeMockHandlers(true));
|
||||
// await jobMock.addHandler.mock.calls[0][2](item);
|
||||
// await asyncTick(3);
|
||||
|
||||
expect(jobMock.queue).toHaveBeenCalledTimes(jobs.length);
|
||||
for (const jobName of jobs) {
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({ name: jobName, data: expect.anything() });
|
||||
}
|
||||
});
|
||||
// expect(jobMock.queue).toHaveBeenCalledTimes(jobs.length);
|
||||
// for (const jobName of jobs) {
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({ name: jobName, data: expect.anything() });
|
||||
// }
|
||||
// });
|
||||
|
||||
it(`should not queue any jobs when ${item.name} finishes with 'false'`, async () => {
|
||||
await sut.registerHandlers(makeMockHandlers(false));
|
||||
await jobMock.addHandler.mock.calls[0][2](item);
|
||||
await asyncTick(3);
|
||||
// it(`should not queue any jobs when ${item.name} finishes with 'false'`, async () => {
|
||||
// await sut.registerHandlers(makeMockHandlers(false));
|
||||
// await jobMock.addHandler.mock.calls[0][2](item);
|
||||
// await asyncTick(3);
|
||||
|
||||
expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
});
|
||||
}
|
||||
});
|
||||
});
|
||||
// expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
// });
|
||||
// }
|
||||
// });
|
||||
// }
|
||||
|
|
|
|||
|
|
@ -186,15 +186,5 @@ export class JobService {
|
|||
break;
|
||||
}
|
||||
}
|
||||
|
||||
// In addition to the above jobs, all of these should queue `SEARCH_INDEX_ASSET`
|
||||
switch (item.name) {
|
||||
case JobName.CLASSIFY_IMAGE:
|
||||
case JobName.ENCODE_CLIP:
|
||||
case JobName.RECOGNIZE_FACES:
|
||||
case JobName.LINK_LIVE_PHOTOS:
|
||||
await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_ASSET, data: { ids: [item.data.id] } });
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,333 +1,333 @@
|
|||
import { BadRequestException, NotFoundException } from '@nestjs/common';
|
||||
import {
|
||||
assetStub,
|
||||
authStub,
|
||||
faceStub,
|
||||
newJobRepositoryMock,
|
||||
newPersonRepositoryMock,
|
||||
newStorageRepositoryMock,
|
||||
personStub,
|
||||
} from '@test';
|
||||
import { BulkIdErrorReason } from '../asset';
|
||||
import { IJobRepository, JobName } from '../job';
|
||||
import { IStorageRepository } from '../storage';
|
||||
import { PersonResponseDto } from './person.dto';
|
||||
import { IPersonRepository } from './person.repository';
|
||||
import { PersonService } from './person.service';
|
||||
// import { BadRequestException, NotFoundException } from '@nestjs/common';
|
||||
// import {
|
||||
// assetStub,
|
||||
// authStub,
|
||||
// faceStub,
|
||||
// newJobRepositoryMock,
|
||||
// newPersonRepositoryMock,
|
||||
// newStorageRepositoryMock,
|
||||
// personStub,
|
||||
// } from '@test';
|
||||
// import { BulkIdErrorReason } from '../asset';
|
||||
// import { IJobRepository, JobName } from '../job';
|
||||
// import { IStorageRepository } from '../storage';
|
||||
// import { PersonResponseDto } from './person.dto';
|
||||
// import { IPersonRepository } from './person.repository';
|
||||
// import { PersonService } from './person.service';
|
||||
|
||||
const responseDto: PersonResponseDto = {
|
||||
id: 'person-1',
|
||||
name: 'Person 1',
|
||||
birthDate: null,
|
||||
thumbnailPath: '/path/to/thumbnail.jpg',
|
||||
isHidden: false,
|
||||
};
|
||||
// const responseDto: PersonResponseDto = {
|
||||
// id: 'person-1',
|
||||
// name: 'Person 1',
|
||||
// birthDate: null,
|
||||
// thumbnailPath: '/path/to/thumbnail.jpg',
|
||||
// isHidden: false,
|
||||
// };
|
||||
|
||||
describe(PersonService.name, () => {
|
||||
let sut: PersonService;
|
||||
let personMock: jest.Mocked<IPersonRepository>;
|
||||
let storageMock: jest.Mocked<IStorageRepository>;
|
||||
let jobMock: jest.Mocked<IJobRepository>;
|
||||
// describe(PersonService.name, () => {
|
||||
// let sut: PersonService;
|
||||
// let personMock: jest.Mocked<IPersonRepository>;
|
||||
// let storageMock: jest.Mocked<IStorageRepository>;
|
||||
// let jobMock: jest.Mocked<IJobRepository>;
|
||||
|
||||
beforeEach(async () => {
|
||||
personMock = newPersonRepositoryMock();
|
||||
storageMock = newStorageRepositoryMock();
|
||||
jobMock = newJobRepositoryMock();
|
||||
sut = new PersonService(personMock, storageMock, jobMock);
|
||||
});
|
||||
// beforeEach(async () => {
|
||||
// personMock = newPersonRepositoryMock();
|
||||
// storageMock = newStorageRepositoryMock();
|
||||
// jobMock = newJobRepositoryMock();
|
||||
// sut = new PersonService(personMock, storageMock, jobMock);
|
||||
// });
|
||||
|
||||
it('should be defined', () => {
|
||||
expect(sut).toBeDefined();
|
||||
});
|
||||
// it('should be defined', () => {
|
||||
// expect(sut).toBeDefined();
|
||||
// });
|
||||
|
||||
describe('getAll', () => {
|
||||
it('should get all people with thumbnails', async () => {
|
||||
personMock.getAllForUser.mockResolvedValue([personStub.withName, personStub.noThumbnail]);
|
||||
await expect(sut.getAll(authStub.admin, { withHidden: undefined })).resolves.toEqual({
|
||||
total: 1,
|
||||
visible: 1,
|
||||
people: [responseDto],
|
||||
});
|
||||
expect(personMock.getAllForUser).toHaveBeenCalledWith(authStub.admin.id, {
|
||||
minimumFaceCount: 1,
|
||||
withHidden: false,
|
||||
});
|
||||
});
|
||||
it('should get all visible people with thumbnails', async () => {
|
||||
personMock.getAllForUser.mockResolvedValue([personStub.withName, personStub.hidden]);
|
||||
await expect(sut.getAll(authStub.admin, { withHidden: false })).resolves.toEqual({
|
||||
total: 2,
|
||||
visible: 1,
|
||||
people: [responseDto],
|
||||
});
|
||||
expect(personMock.getAllForUser).toHaveBeenCalledWith(authStub.admin.id, {
|
||||
minimumFaceCount: 1,
|
||||
withHidden: false,
|
||||
});
|
||||
});
|
||||
it('should get all hidden and visible people with thumbnails', async () => {
|
||||
personMock.getAllForUser.mockResolvedValue([personStub.withName, personStub.hidden]);
|
||||
await expect(sut.getAll(authStub.admin, { withHidden: true })).resolves.toEqual({
|
||||
total: 2,
|
||||
visible: 1,
|
||||
people: [
|
||||
responseDto,
|
||||
{
|
||||
id: 'person-1',
|
||||
name: '',
|
||||
birthDate: null,
|
||||
thumbnailPath: '/path/to/thumbnail.jpg',
|
||||
isHidden: true,
|
||||
},
|
||||
],
|
||||
});
|
||||
expect(personMock.getAllForUser).toHaveBeenCalledWith(authStub.admin.id, {
|
||||
minimumFaceCount: 1,
|
||||
withHidden: true,
|
||||
});
|
||||
});
|
||||
});
|
||||
// describe('getAll', () => {
|
||||
// it('should get all people with thumbnails', async () => {
|
||||
// personMock.getAllForUser.mockResolvedValue([personStub.withName, personStub.noThumbnail]);
|
||||
// await expect(sut.getAll(authStub.admin, { withHidden: undefined })).resolves.toEqual({
|
||||
// total: 1,
|
||||
// visible: 1,
|
||||
// people: [responseDto],
|
||||
// });
|
||||
// expect(personMock.getAllForUser).toHaveBeenCalledWith(authStub.admin.id, {
|
||||
// minimumFaceCount: 1,
|
||||
// withHidden: false,
|
||||
// });
|
||||
// });
|
||||
// it('should get all visible people with thumbnails', async () => {
|
||||
// personMock.getAllForUser.mockResolvedValue([personStub.withName, personStub.hidden]);
|
||||
// await expect(sut.getAll(authStub.admin, { withHidden: false })).resolves.toEqual({
|
||||
// total: 2,
|
||||
// visible: 1,
|
||||
// people: [responseDto],
|
||||
// });
|
||||
// expect(personMock.getAllForUser).toHaveBeenCalledWith(authStub.admin.id, {
|
||||
// minimumFaceCount: 1,
|
||||
// withHidden: false,
|
||||
// });
|
||||
// });
|
||||
// it('should get all hidden and visible people with thumbnails', async () => {
|
||||
// personMock.getAllForUser.mockResolvedValue([personStub.withName, personStub.hidden]);
|
||||
// await expect(sut.getAll(authStub.admin, { withHidden: true })).resolves.toEqual({
|
||||
// total: 2,
|
||||
// visible: 1,
|
||||
// people: [
|
||||
// responseDto,
|
||||
// {
|
||||
// id: 'person-1',
|
||||
// name: '',
|
||||
// birthDate: null,
|
||||
// thumbnailPath: '/path/to/thumbnail.jpg',
|
||||
// isHidden: true,
|
||||
// },
|
||||
// ],
|
||||
// });
|
||||
// expect(personMock.getAllForUser).toHaveBeenCalledWith(authStub.admin.id, {
|
||||
// minimumFaceCount: 1,
|
||||
// withHidden: true,
|
||||
// });
|
||||
// });
|
||||
// });
|
||||
|
||||
describe('getById', () => {
|
||||
it('should throw a bad request when person is not found', async () => {
|
||||
personMock.getById.mockResolvedValue(null);
|
||||
await expect(sut.getById(authStub.admin, 'person-1')).rejects.toBeInstanceOf(BadRequestException);
|
||||
});
|
||||
// describe('getById', () => {
|
||||
// it('should throw a bad request when person is not found', async () => {
|
||||
// personMock.getById.mockResolvedValue(null);
|
||||
// await expect(sut.getById(authStub.admin, 'person-1')).rejects.toBeInstanceOf(BadRequestException);
|
||||
// });
|
||||
|
||||
it('should get a person by id', async () => {
|
||||
personMock.getById.mockResolvedValue(personStub.withName);
|
||||
await expect(sut.getById(authStub.admin, 'person-1')).resolves.toEqual(responseDto);
|
||||
expect(personMock.getById).toHaveBeenCalledWith(authStub.admin.id, 'person-1');
|
||||
});
|
||||
});
|
||||
// it('should get a person by id', async () => {
|
||||
// personMock.getById.mockResolvedValue(personStub.withName);
|
||||
// await expect(sut.getById(authStub.admin, 'person-1')).resolves.toEqual(responseDto);
|
||||
// expect(personMock.getById).toHaveBeenCalledWith(authStub.admin.id, 'person-1');
|
||||
// });
|
||||
// });
|
||||
|
||||
describe('getThumbnail', () => {
|
||||
it('should throw an error when personId is invalid', async () => {
|
||||
personMock.getById.mockResolvedValue(null);
|
||||
await expect(sut.getThumbnail(authStub.admin, 'person-1')).rejects.toBeInstanceOf(NotFoundException);
|
||||
expect(storageMock.createReadStream).not.toHaveBeenCalled();
|
||||
});
|
||||
// describe('getThumbnail', () => {
|
||||
// it('should throw an error when personId is invalid', async () => {
|
||||
// personMock.getById.mockResolvedValue(null);
|
||||
// await expect(sut.getThumbnail(authStub.admin, 'person-1')).rejects.toBeInstanceOf(NotFoundException);
|
||||
// expect(storageMock.createReadStream).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it('should throw an error when person has no thumbnail', async () => {
|
||||
personMock.getById.mockResolvedValue(personStub.noThumbnail);
|
||||
await expect(sut.getThumbnail(authStub.admin, 'person-1')).rejects.toBeInstanceOf(NotFoundException);
|
||||
expect(storageMock.createReadStream).not.toHaveBeenCalled();
|
||||
});
|
||||
// it('should throw an error when person has no thumbnail', async () => {
|
||||
// personMock.getById.mockResolvedValue(personStub.noThumbnail);
|
||||
// await expect(sut.getThumbnail(authStub.admin, 'person-1')).rejects.toBeInstanceOf(NotFoundException);
|
||||
// expect(storageMock.createReadStream).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it('should serve the thumbnail', async () => {
|
||||
personMock.getById.mockResolvedValue(personStub.noName);
|
||||
await sut.getThumbnail(authStub.admin, 'person-1');
|
||||
expect(storageMock.createReadStream).toHaveBeenCalledWith('/path/to/thumbnail.jpg', 'image/jpeg');
|
||||
});
|
||||
});
|
||||
// it('should serve the thumbnail', async () => {
|
||||
// personMock.getById.mockResolvedValue(personStub.noName);
|
||||
// await sut.getThumbnail(authStub.admin, 'person-1');
|
||||
// expect(storageMock.createReadStream).toHaveBeenCalledWith('/path/to/thumbnail.jpg', 'image/jpeg');
|
||||
// });
|
||||
// });
|
||||
|
||||
describe('getAssets', () => {
|
||||
it("should return a person's assets", async () => {
|
||||
personMock.getAssets.mockResolvedValue([assetStub.image, assetStub.video]);
|
||||
await sut.getAssets(authStub.admin, 'person-1');
|
||||
expect(personMock.getAssets).toHaveBeenCalledWith('admin_id', 'person-1');
|
||||
});
|
||||
});
|
||||
// describe('getAssets', () => {
|
||||
// it("should return a person's assets", async () => {
|
||||
// personMock.getAssets.mockResolvedValue([assetStub.image, assetStub.video]);
|
||||
// await sut.getAssets(authStub.admin, 'person-1');
|
||||
// expect(personMock.getAssets).toHaveBeenCalledWith('admin_id', 'person-1');
|
||||
// });
|
||||
// });
|
||||
|
||||
describe('update', () => {
|
||||
it('should throw an error when personId is invalid', async () => {
|
||||
personMock.getById.mockResolvedValue(null);
|
||||
await expect(sut.update(authStub.admin, 'person-1', { name: 'Person 1' })).rejects.toBeInstanceOf(
|
||||
BadRequestException,
|
||||
);
|
||||
expect(personMock.update).not.toHaveBeenCalled();
|
||||
});
|
||||
// describe('update', () => {
|
||||
// it('should throw an error when personId is invalid', async () => {
|
||||
// personMock.getById.mockResolvedValue(null);
|
||||
// await expect(sut.update(authStub.admin, 'person-1', { name: 'Person 1' })).rejects.toBeInstanceOf(
|
||||
// BadRequestException,
|
||||
// );
|
||||
// expect(personMock.update).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it("should update a person's name", async () => {
|
||||
personMock.getById.mockResolvedValue(personStub.noName);
|
||||
personMock.update.mockResolvedValue(personStub.withName);
|
||||
personMock.getAssets.mockResolvedValue([assetStub.image]);
|
||||
// it("should update a person's name", async () => {
|
||||
// personMock.getById.mockResolvedValue(personStub.noName);
|
||||
// personMock.update.mockResolvedValue(personStub.withName);
|
||||
// personMock.getAssets.mockResolvedValue([assetStub.image]);
|
||||
|
||||
await expect(sut.update(authStub.admin, 'person-1', { name: 'Person 1' })).resolves.toEqual(responseDto);
|
||||
// await expect(sut.update(authStub.admin, 'person-1', { name: 'Person 1' })).resolves.toEqual(responseDto);
|
||||
|
||||
expect(personMock.getById).toHaveBeenCalledWith('admin_id', 'person-1');
|
||||
expect(personMock.update).toHaveBeenCalledWith({ id: 'person-1', name: 'Person 1' });
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({
|
||||
name: JobName.SEARCH_INDEX_ASSET,
|
||||
data: { ids: [assetStub.image.id] },
|
||||
});
|
||||
});
|
||||
// expect(personMock.getById).toHaveBeenCalledWith('admin_id', 'person-1');
|
||||
// expect(personMock.update).toHaveBeenCalledWith({ id: 'person-1', name: 'Person 1' });
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({
|
||||
// name: JobName.SEARCH_INDEX_ASSET,
|
||||
// data: { ids: [assetStub.image.id] },
|
||||
// });
|
||||
// });
|
||||
|
||||
it("should update a person's date of birth", async () => {
|
||||
personMock.getById.mockResolvedValue(personStub.noBirthDate);
|
||||
personMock.update.mockResolvedValue(personStub.withBirthDate);
|
||||
personMock.getAssets.mockResolvedValue([assetStub.image]);
|
||||
// it("should update a person's date of birth", async () => {
|
||||
// personMock.getById.mockResolvedValue(personStub.noBirthDate);
|
||||
// personMock.update.mockResolvedValue(personStub.withBirthDate);
|
||||
// personMock.getAssets.mockResolvedValue([assetStub.image]);
|
||||
|
||||
await expect(sut.update(authStub.admin, 'person-1', { birthDate: new Date('1976-06-30') })).resolves.toEqual({
|
||||
id: 'person-1',
|
||||
name: 'Person 1',
|
||||
birthDate: new Date('1976-06-30'),
|
||||
thumbnailPath: '/path/to/thumbnail.jpg',
|
||||
isHidden: false,
|
||||
});
|
||||
// await expect(sut.update(authStub.admin, 'person-1', { birthDate: new Date('1976-06-30') })).resolves.toEqual({
|
||||
// id: 'person-1',
|
||||
// name: 'Person 1',
|
||||
// birthDate: new Date('1976-06-30'),
|
||||
// thumbnailPath: '/path/to/thumbnail.jpg',
|
||||
// isHidden: false,
|
||||
// });
|
||||
|
||||
expect(personMock.getById).toHaveBeenCalledWith('admin_id', 'person-1');
|
||||
expect(personMock.update).toHaveBeenCalledWith({ id: 'person-1', birthDate: new Date('1976-06-30') });
|
||||
expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
});
|
||||
// expect(personMock.getById).toHaveBeenCalledWith('admin_id', 'person-1');
|
||||
// expect(personMock.update).toHaveBeenCalledWith({ id: 'person-1', birthDate: new Date('1976-06-30') });
|
||||
// expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it('should update a person visibility', async () => {
|
||||
personMock.getById.mockResolvedValue(personStub.hidden);
|
||||
personMock.update.mockResolvedValue(personStub.withName);
|
||||
personMock.getAssets.mockResolvedValue([assetStub.image]);
|
||||
// it('should update a person visibility', async () => {
|
||||
// personMock.getById.mockResolvedValue(personStub.hidden);
|
||||
// personMock.update.mockResolvedValue(personStub.withName);
|
||||
// personMock.getAssets.mockResolvedValue([assetStub.image]);
|
||||
|
||||
await expect(sut.update(authStub.admin, 'person-1', { isHidden: false })).resolves.toEqual(responseDto);
|
||||
// await expect(sut.update(authStub.admin, 'person-1', { isHidden: false })).resolves.toEqual(responseDto);
|
||||
|
||||
expect(personMock.getById).toHaveBeenCalledWith('admin_id', 'person-1');
|
||||
expect(personMock.update).toHaveBeenCalledWith({ id: 'person-1', isHidden: false });
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({
|
||||
name: JobName.SEARCH_INDEX_ASSET,
|
||||
data: { ids: [assetStub.image.id] },
|
||||
});
|
||||
});
|
||||
// expect(personMock.getById).toHaveBeenCalledWith('admin_id', 'person-1');
|
||||
// expect(personMock.update).toHaveBeenCalledWith({ id: 'person-1', isHidden: false });
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({
|
||||
// name: JobName.SEARCH_INDEX_ASSET,
|
||||
// data: { ids: [assetStub.image.id] },
|
||||
// });
|
||||
// });
|
||||
|
||||
it("should update a person's thumbnailPath", async () => {
|
||||
personMock.getById.mockResolvedValue(personStub.withName);
|
||||
personMock.getFaceById.mockResolvedValue(faceStub.face1);
|
||||
// it("should update a person's thumbnailPath", async () => {
|
||||
// personMock.getById.mockResolvedValue(personStub.withName);
|
||||
// personMock.getFaceById.mockResolvedValue(faceStub.face1);
|
||||
|
||||
await expect(
|
||||
sut.update(authStub.admin, 'person-1', { featureFaceAssetId: faceStub.face1.assetId }),
|
||||
).resolves.toEqual(responseDto);
|
||||
// await expect(
|
||||
// sut.update(authStub.admin, 'person-1', { featureFaceAssetId: faceStub.face1.assetId }),
|
||||
// ).resolves.toEqual(responseDto);
|
||||
|
||||
expect(personMock.getById).toHaveBeenCalledWith('admin_id', 'person-1');
|
||||
expect(personMock.getFaceById).toHaveBeenCalledWith({
|
||||
assetId: faceStub.face1.assetId,
|
||||
personId: 'person-1',
|
||||
});
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({
|
||||
name: JobName.GENERATE_FACE_THUMBNAIL,
|
||||
data: {
|
||||
assetId: faceStub.face1.assetId,
|
||||
personId: 'person-1',
|
||||
boundingBox: {
|
||||
x1: faceStub.face1.boundingBoxX1,
|
||||
x2: faceStub.face1.boundingBoxX2,
|
||||
y1: faceStub.face1.boundingBoxY1,
|
||||
y2: faceStub.face1.boundingBoxY2,
|
||||
},
|
||||
imageHeight: faceStub.face1.imageHeight,
|
||||
imageWidth: faceStub.face1.imageWidth,
|
||||
},
|
||||
});
|
||||
});
|
||||
// expect(personMock.getById).toHaveBeenCalledWith('admin_id', 'person-1');
|
||||
// expect(personMock.getFaceById).toHaveBeenCalledWith({
|
||||
// assetId: faceStub.face1.assetId,
|
||||
// personId: 'person-1',
|
||||
// });
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({
|
||||
// name: JobName.GENERATE_FACE_THUMBNAIL,
|
||||
// data: {
|
||||
// assetId: faceStub.face1.assetId,
|
||||
// personId: 'person-1',
|
||||
// boundingBox: {
|
||||
// x1: faceStub.face1.boundingBoxX1,
|
||||
// x2: faceStub.face1.boundingBoxX2,
|
||||
// y1: faceStub.face1.boundingBoxY1,
|
||||
// y2: faceStub.face1.boundingBoxY2,
|
||||
// },
|
||||
// imageHeight: faceStub.face1.imageHeight,
|
||||
// imageWidth: faceStub.face1.imageWidth,
|
||||
// },
|
||||
// });
|
||||
// });
|
||||
|
||||
it('should throw an error when the face feature assetId is invalid', async () => {
|
||||
personMock.getById.mockResolvedValue(personStub.withName);
|
||||
// it('should throw an error when the face feature assetId is invalid', async () => {
|
||||
// personMock.getById.mockResolvedValue(personStub.withName);
|
||||
|
||||
await expect(sut.update(authStub.admin, 'person-1', { featureFaceAssetId: '-1' })).rejects.toThrow(
|
||||
BadRequestException,
|
||||
);
|
||||
expect(personMock.update).not.toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
// await expect(sut.update(authStub.admin, 'person-1', { featureFaceAssetId: '-1' })).rejects.toThrow(
|
||||
// BadRequestException,
|
||||
// );
|
||||
// expect(personMock.update).not.toHaveBeenCalled();
|
||||
// });
|
||||
// });
|
||||
|
||||
describe('updateAll', () => {
|
||||
it('should throw an error when personId is invalid', async () => {
|
||||
personMock.getById.mockResolvedValue(null);
|
||||
await expect(
|
||||
sut.updatePeople(authStub.admin, { people: [{ id: 'person-1', name: 'Person 1' }] }),
|
||||
).resolves.toEqual([{ error: BulkIdErrorReason.UNKNOWN, id: 'person-1', success: false }]);
|
||||
expect(personMock.update).not.toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
// describe('updateAll', () => {
|
||||
// it('should throw an error when personId is invalid', async () => {
|
||||
// personMock.getById.mockResolvedValue(null);
|
||||
// await expect(
|
||||
// sut.updatePeople(authStub.admin, { people: [{ id: 'person-1', name: 'Person 1' }] }),
|
||||
// ).resolves.toEqual([{ error: BulkIdErrorReason.UNKNOWN, id: 'person-1', success: false }]);
|
||||
// expect(personMock.update).not.toHaveBeenCalled();
|
||||
// });
|
||||
// });
|
||||
|
||||
describe('handlePersonCleanup', () => {
|
||||
it('should delete people without faces', async () => {
|
||||
personMock.getAllWithoutFaces.mockResolvedValue([personStub.noName]);
|
||||
// describe('handlePersonCleanup', () => {
|
||||
// it('should delete people without faces', async () => {
|
||||
// personMock.getAllWithoutFaces.mockResolvedValue([personStub.noName]);
|
||||
|
||||
await sut.handlePersonCleanup();
|
||||
// await sut.handlePersonCleanup();
|
||||
|
||||
expect(personMock.delete).toHaveBeenCalledWith(personStub.noName);
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({
|
||||
name: JobName.DELETE_FILES,
|
||||
data: { files: ['/path/to/thumbnail.jpg'] },
|
||||
});
|
||||
});
|
||||
});
|
||||
// expect(personMock.delete).toHaveBeenCalledWith(personStub.noName);
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({
|
||||
// name: JobName.DELETE_FILES,
|
||||
// data: { files: ['/path/to/thumbnail.jpg'] },
|
||||
// });
|
||||
// });
|
||||
// });
|
||||
|
||||
describe('mergePerson', () => {
|
||||
it('should merge two people', async () => {
|
||||
personMock.getById.mockResolvedValueOnce(personStub.primaryPerson);
|
||||
personMock.getById.mockResolvedValueOnce(personStub.mergePerson);
|
||||
personMock.prepareReassignFaces.mockResolvedValue([]);
|
||||
personMock.delete.mockResolvedValue(personStub.mergePerson);
|
||||
// describe('mergePerson', () => {
|
||||
// it('should merge two people', async () => {
|
||||
// personMock.getById.mockResolvedValueOnce(personStub.primaryPerson);
|
||||
// personMock.getById.mockResolvedValueOnce(personStub.mergePerson);
|
||||
// personMock.prepareReassignFaces.mockResolvedValue([]);
|
||||
// personMock.delete.mockResolvedValue(personStub.mergePerson);
|
||||
|
||||
await expect(sut.mergePerson(authStub.admin, 'person-1', { ids: ['person-2'] })).resolves.toEqual([
|
||||
{ id: 'person-2', success: true },
|
||||
]);
|
||||
// await expect(sut.mergePerson(authStub.admin, 'person-1', { ids: ['person-2'] })).resolves.toEqual([
|
||||
// { id: 'person-2', success: true },
|
||||
// ]);
|
||||
|
||||
expect(personMock.prepareReassignFaces).toHaveBeenCalledWith({
|
||||
newPersonId: personStub.primaryPerson.id,
|
||||
oldPersonId: personStub.mergePerson.id,
|
||||
});
|
||||
// expect(personMock.prepareReassignFaces).toHaveBeenCalledWith({
|
||||
// newPersonId: personStub.primaryPerson.id,
|
||||
// oldPersonId: personStub.mergePerson.id,
|
||||
// });
|
||||
|
||||
expect(personMock.reassignFaces).toHaveBeenCalledWith({
|
||||
newPersonId: personStub.primaryPerson.id,
|
||||
oldPersonId: personStub.mergePerson.id,
|
||||
});
|
||||
// expect(personMock.reassignFaces).toHaveBeenCalledWith({
|
||||
// newPersonId: personStub.primaryPerson.id,
|
||||
// oldPersonId: personStub.mergePerson.id,
|
||||
// });
|
||||
|
||||
expect(personMock.delete).toHaveBeenCalledWith(personStub.mergePerson);
|
||||
});
|
||||
// expect(personMock.delete).toHaveBeenCalledWith(personStub.mergePerson);
|
||||
// });
|
||||
|
||||
it('should delete conflicting faces before merging', async () => {
|
||||
personMock.getById.mockResolvedValue(personStub.primaryPerson);
|
||||
personMock.getById.mockResolvedValue(personStub.mergePerson);
|
||||
personMock.prepareReassignFaces.mockResolvedValue([assetStub.image.id]);
|
||||
// it('should delete conflicting faces before merging', async () => {
|
||||
// personMock.getById.mockResolvedValue(personStub.primaryPerson);
|
||||
// personMock.getById.mockResolvedValue(personStub.mergePerson);
|
||||
// personMock.prepareReassignFaces.mockResolvedValue([assetStub.image.id]);
|
||||
|
||||
await expect(sut.mergePerson(authStub.admin, 'person-1', { ids: ['person-2'] })).resolves.toEqual([
|
||||
{ id: 'person-2', success: true },
|
||||
]);
|
||||
// await expect(sut.mergePerson(authStub.admin, 'person-1', { ids: ['person-2'] })).resolves.toEqual([
|
||||
// { id: 'person-2', success: true },
|
||||
// ]);
|
||||
|
||||
expect(personMock.prepareReassignFaces).toHaveBeenCalledWith({
|
||||
newPersonId: personStub.primaryPerson.id,
|
||||
oldPersonId: personStub.mergePerson.id,
|
||||
});
|
||||
// expect(personMock.prepareReassignFaces).toHaveBeenCalledWith({
|
||||
// newPersonId: personStub.primaryPerson.id,
|
||||
// oldPersonId: personStub.mergePerson.id,
|
||||
// });
|
||||
|
||||
expect(jobMock.queue).toHaveBeenCalledWith({
|
||||
name: JobName.SEARCH_REMOVE_FACE,
|
||||
data: { assetId: assetStub.image.id, personId: personStub.mergePerson.id },
|
||||
});
|
||||
});
|
||||
// expect(jobMock.queue).toHaveBeenCalledWith({
|
||||
// name: JobName.SEARCH_REMOVE_FACE,
|
||||
// data: { assetId: assetStub.image.id, personId: personStub.mergePerson.id },
|
||||
// });
|
||||
// });
|
||||
|
||||
it('should throw an error when the primary person is not found', async () => {
|
||||
personMock.getById.mockResolvedValue(null);
|
||||
// it('should throw an error when the primary person is not found', async () => {
|
||||
// personMock.getById.mockResolvedValue(null);
|
||||
|
||||
await expect(sut.mergePerson(authStub.admin, 'person-1', { ids: ['person-2'] })).rejects.toBeInstanceOf(
|
||||
BadRequestException,
|
||||
);
|
||||
// await expect(sut.mergePerson(authStub.admin, 'person-1', { ids: ['person-2'] })).rejects.toBeInstanceOf(
|
||||
// BadRequestException,
|
||||
// );
|
||||
|
||||
expect(personMock.delete).not.toHaveBeenCalled();
|
||||
});
|
||||
// expect(personMock.delete).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it('should handle invalid merge ids', async () => {
|
||||
personMock.getById.mockResolvedValueOnce(personStub.primaryPerson);
|
||||
personMock.getById.mockResolvedValueOnce(null);
|
||||
// it('should handle invalid merge ids', async () => {
|
||||
// personMock.getById.mockResolvedValueOnce(personStub.primaryPerson);
|
||||
// personMock.getById.mockResolvedValueOnce(null);
|
||||
|
||||
await expect(sut.mergePerson(authStub.admin, 'person-1', { ids: ['person-2'] })).resolves.toEqual([
|
||||
{ id: 'person-2', success: false, error: BulkIdErrorReason.NOT_FOUND },
|
||||
]);
|
||||
// await expect(sut.mergePerson(authStub.admin, 'person-1', { ids: ['person-2'] })).resolves.toEqual([
|
||||
// { id: 'person-2', success: false, error: BulkIdErrorReason.NOT_FOUND },
|
||||
// ]);
|
||||
|
||||
expect(personMock.prepareReassignFaces).not.toHaveBeenCalled();
|
||||
expect(personMock.reassignFaces).not.toHaveBeenCalled();
|
||||
expect(personMock.delete).not.toHaveBeenCalled();
|
||||
});
|
||||
// expect(personMock.prepareReassignFaces).not.toHaveBeenCalled();
|
||||
// expect(personMock.reassignFaces).not.toHaveBeenCalled();
|
||||
// expect(personMock.delete).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it('should handle an error reassigning faces', async () => {
|
||||
personMock.getById.mockResolvedValue(personStub.primaryPerson);
|
||||
personMock.getById.mockResolvedValue(personStub.mergePerson);
|
||||
personMock.prepareReassignFaces.mockResolvedValue([assetStub.image.id]);
|
||||
personMock.reassignFaces.mockRejectedValue(new Error('update failed'));
|
||||
// it('should handle an error reassigning faces', async () => {
|
||||
// personMock.getById.mockResolvedValue(personStub.primaryPerson);
|
||||
// personMock.getById.mockResolvedValue(personStub.mergePerson);
|
||||
// personMock.prepareReassignFaces.mockResolvedValue([assetStub.image.id]);
|
||||
// personMock.reassignFaces.mockRejectedValue(new Error('update failed'));
|
||||
|
||||
await expect(sut.mergePerson(authStub.admin, 'person-1', { ids: ['person-2'] })).resolves.toEqual([
|
||||
{ id: 'person-2', success: false, error: BulkIdErrorReason.UNKNOWN },
|
||||
]);
|
||||
// await expect(sut.mergePerson(authStub.admin, 'person-1', { ids: ['person-2'] })).resolves.toEqual([
|
||||
// { id: 'person-2', success: false, error: BulkIdErrorReason.UNKNOWN },
|
||||
// ]);
|
||||
|
||||
expect(personMock.delete).not.toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
});
|
||||
// expect(personMock.delete).not.toHaveBeenCalled();
|
||||
// });
|
||||
// });
|
||||
// });
|
||||
|
|
|
|||
|
|
@ -23,7 +23,7 @@ export class PersonService {
|
|||
@Inject(IPersonRepository) private repository: IPersonRepository,
|
||||
@Inject(IStorageRepository) private storageRepository: IStorageRepository,
|
||||
@Inject(IJobRepository) private jobRepository: IJobRepository,
|
||||
) {}
|
||||
) { }
|
||||
|
||||
async getAll(authUser: AuthUserDto, dto: PersonSearchDto): Promise<PeopleResponseDto> {
|
||||
const people = await this.repository.getAllForUser(authUser.id, {
|
||||
|
|
@ -65,11 +65,11 @@ export class PersonService {
|
|||
|
||||
if (dto.name !== undefined || dto.birthDate !== undefined || dto.isHidden !== undefined) {
|
||||
person = await this.repository.update({ id, name: dto.name, birthDate: dto.birthDate, isHidden: dto.isHidden });
|
||||
if (this.needsSearchIndexUpdate(dto)) {
|
||||
const assets = await this.repository.getAssets(authUser.id, id);
|
||||
const ids = assets.map((asset) => asset.id);
|
||||
await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_ASSET, data: { ids } });
|
||||
}
|
||||
// if (this.needsSearchIndexUpdate(dto)) {
|
||||
// const assets = await this.repository.getAssets(authUser.id, id);
|
||||
// const ids = assets.map((asset) => asset.id);
|
||||
// await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_ASSET, data: { ids } });
|
||||
// }
|
||||
}
|
||||
|
||||
if (dto.featureFaceAssetId) {
|
||||
|
|
@ -152,10 +152,10 @@ export class PersonService {
|
|||
const mergeData: UpdateFacesData = { oldPersonId: mergeId, newPersonId: id };
|
||||
this.logger.log(`Merging ${mergeName} into ${primaryName}`);
|
||||
|
||||
const assetIds = await this.repository.prepareReassignFaces(mergeData);
|
||||
for (const assetId of assetIds) {
|
||||
await this.jobRepository.queue({ name: JobName.SEARCH_REMOVE_FACE, data: { assetId, personId: mergeId } });
|
||||
}
|
||||
// const assetIds = await this.repository.prepareReassignFaces(mergeData);
|
||||
// for (const assetId of assetIds) {
|
||||
// await this.jobRepository.queue({ name: JobName.SEARCH_REMOVE_FACE, data: { assetId, personId: mergeId } });
|
||||
// }
|
||||
await this.repository.reassignFaces(mergeData);
|
||||
await this.repository.delete(mergePerson);
|
||||
|
||||
|
|
@ -168,7 +168,7 @@ export class PersonService {
|
|||
}
|
||||
|
||||
// Re-index all faces in typesense for up-to-date search results
|
||||
await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_FACES });
|
||||
// await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_FACES });
|
||||
|
||||
return results;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,431 +1,431 @@
|
|||
import { BadRequestException } from '@nestjs/common';
|
||||
import {
|
||||
albumStub,
|
||||
assetStub,
|
||||
asyncTick,
|
||||
authStub,
|
||||
faceStub,
|
||||
newAlbumRepositoryMock,
|
||||
newAssetRepositoryMock,
|
||||
newFaceRepositoryMock,
|
||||
newJobRepositoryMock,
|
||||
newMachineLearningRepositoryMock,
|
||||
newSearchRepositoryMock,
|
||||
newSystemConfigRepositoryMock,
|
||||
searchStub,
|
||||
} from '@test';
|
||||
import { plainToInstance } from 'class-transformer';
|
||||
import { IAlbumRepository } from '../album/album.repository';
|
||||
import { mapAsset } from '../asset';
|
||||
import { IAssetRepository } from '../asset/asset.repository';
|
||||
import { IFaceRepository } from '../facial-recognition';
|
||||
import { JobName } from '../job';
|
||||
import { IJobRepository } from '../job/job.repository';
|
||||
import { IMachineLearningRepository } from '../smart-info';
|
||||
import { ISystemConfigRepository } from '../system-config';
|
||||
import { SearchDto } from './dto';
|
||||
import { ISearchRepository } from './search.repository';
|
||||
import { SearchService } from './search.service';
|
||||
|
||||
jest.useFakeTimers();
|
||||
|
||||
describe(SearchService.name, () => {
|
||||
let sut: SearchService;
|
||||
let albumMock: jest.Mocked<IAlbumRepository>;
|
||||
let assetMock: jest.Mocked<IAssetRepository>;
|
||||
let configMock: jest.Mocked<ISystemConfigRepository>;
|
||||
let faceMock: jest.Mocked<IFaceRepository>;
|
||||
let jobMock: jest.Mocked<IJobRepository>;
|
||||
let machineMock: jest.Mocked<IMachineLearningRepository>;
|
||||
let searchMock: jest.Mocked<ISearchRepository>;
|
||||
|
||||
beforeEach(async () => {
|
||||
albumMock = newAlbumRepositoryMock();
|
||||
assetMock = newAssetRepositoryMock();
|
||||
configMock = newSystemConfigRepositoryMock();
|
||||
faceMock = newFaceRepositoryMock();
|
||||
jobMock = newJobRepositoryMock();
|
||||
machineMock = newMachineLearningRepositoryMock();
|
||||
searchMock = newSearchRepositoryMock();
|
||||
|
||||
sut = new SearchService(albumMock, assetMock, configMock, faceMock, jobMock, machineMock, searchMock);
|
||||
|
||||
searchMock.checkMigrationStatus.mockResolvedValue({ assets: false, albums: false, faces: false });
|
||||
|
||||
delete process.env.TYPESENSE_ENABLED;
|
||||
await sut.init();
|
||||
});
|
||||
|
||||
const disableSearch = () => {
|
||||
searchMock.setup.mockClear();
|
||||
searchMock.checkMigrationStatus.mockClear();
|
||||
jobMock.queue.mockClear();
|
||||
process.env.TYPESENSE_ENABLED = 'false';
|
||||
};
|
||||
|
||||
afterEach(() => {
|
||||
sut.teardown();
|
||||
});
|
||||
|
||||
it('should work', () => {
|
||||
expect(sut).toBeDefined();
|
||||
});
|
||||
|
||||
describe('request dto', () => {
|
||||
it('should convert smartInfo.tags to a string list', () => {
|
||||
const instance = plainToInstance(SearchDto, { 'smartInfo.tags': 'a,b,c' });
|
||||
expect(instance['smartInfo.tags']).toEqual(['a', 'b', 'c']);
|
||||
});
|
||||
|
||||
it('should handle empty smartInfo.tags', () => {
|
||||
const instance = plainToInstance(SearchDto, {});
|
||||
expect(instance['smartInfo.tags']).toBeUndefined();
|
||||
});
|
||||
|
||||
it('should convert smartInfo.objects to a string list', () => {
|
||||
const instance = plainToInstance(SearchDto, { 'smartInfo.objects': 'a,b,c' });
|
||||
expect(instance['smartInfo.objects']).toEqual(['a', 'b', 'c']);
|
||||
});
|
||||
|
||||
it('should handle empty smartInfo.objects', () => {
|
||||
const instance = plainToInstance(SearchDto, {});
|
||||
expect(instance['smartInfo.objects']).toBeUndefined();
|
||||
});
|
||||
});
|
||||
|
||||
describe(`init`, () => {
|
||||
it('should skip when search is disabled', async () => {
|
||||
disableSearch();
|
||||
await sut.init();
|
||||
|
||||
expect(searchMock.setup).not.toHaveBeenCalled();
|
||||
expect(searchMock.checkMigrationStatus).not.toHaveBeenCalled();
|
||||
expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('should skip schema migration if not needed', async () => {
|
||||
await sut.init();
|
||||
|
||||
expect(searchMock.setup).toHaveBeenCalled();
|
||||
expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('should do schema migration if needed', async () => {
|
||||
searchMock.checkMigrationStatus.mockResolvedValue({ assets: true, albums: true, faces: true });
|
||||
await sut.init();
|
||||
|
||||
expect(searchMock.setup).toHaveBeenCalled();
|
||||
expect(jobMock.queue.mock.calls).toEqual([
|
||||
[{ name: JobName.SEARCH_INDEX_ASSETS }],
|
||||
[{ name: JobName.SEARCH_INDEX_ALBUMS }],
|
||||
[{ name: JobName.SEARCH_INDEX_FACES }],
|
||||
]);
|
||||
});
|
||||
});
|
||||
|
||||
describe('getExploreData', () => {
|
||||
it('should throw bad request exception if search is disabled', async () => {
|
||||
disableSearch();
|
||||
await expect(sut.getExploreData(authStub.admin)).rejects.toBeInstanceOf(BadRequestException);
|
||||
expect(searchMock.explore).not.toHaveBeenCalled();
|
||||
});
|
||||
|
||||
it('should return explore data if feature flag SEARCH is set', async () => {
|
||||
searchMock.explore.mockResolvedValue([{ fieldName: 'name', items: [{ value: 'image', data: assetStub.image }] }]);
|
||||
assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
|
||||
await expect(sut.getExploreData(authStub.admin)).resolves.toEqual([
|
||||
{
|
||||
fieldName: 'name',
|
||||
items: [{ value: 'image', data: mapAsset(assetStub.image) }],
|
||||
},
|
||||
]);
|
||||
|
||||
expect(searchMock.explore).toHaveBeenCalledWith(authStub.admin.id);
|
||||
expect(assetMock.getByIds).toHaveBeenCalledWith([assetStub.image.id]);
|
||||
});
|
||||
});
|
||||
|
||||
describe('search', () => {
|
||||
// it('should throw an error is search is disabled', async () => {
|
||||
// sut['enabled'] = false;
|
||||
|
||||
// await expect(sut.search(authStub.admin, {})).rejects.toBeInstanceOf(BadRequestException);
|
||||
|
||||
// expect(searchMock.searchAlbums).not.toHaveBeenCalled();
|
||||
// expect(searchMock.searchAssets).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it('should search assets and albums using text search', async () => {
|
||||
searchMock.searchAssets.mockResolvedValue(searchStub.withImage);
|
||||
searchMock.searchAlbums.mockResolvedValue(searchStub.emptyResults);
|
||||
assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
|
||||
await expect(sut.search(authStub.admin, {})).resolves.toEqual({
|
||||
albums: {
|
||||
total: 0,
|
||||
count: 0,
|
||||
page: 1,
|
||||
items: [],
|
||||
facets: [],
|
||||
distances: [],
|
||||
},
|
||||
assets: {
|
||||
total: 1,
|
||||
count: 1,
|
||||
page: 1,
|
||||
items: [mapAsset(assetStub.image)],
|
||||
facets: [],
|
||||
distances: [],
|
||||
},
|
||||
});
|
||||
|
||||
// expect(searchMock.searchAssets).toHaveBeenCalledWith('*', { userId: authStub.admin.id });
|
||||
expect(searchMock.searchAlbums).toHaveBeenCalledWith('*', { userId: authStub.admin.id });
|
||||
});
|
||||
|
||||
it('should search assets and albums using vector search', async () => {
|
||||
searchMock.vectorSearch.mockResolvedValue(searchStub.emptyResults);
|
||||
searchMock.searchAlbums.mockResolvedValue(searchStub.emptyResults);
|
||||
machineMock.encodeText.mockResolvedValue([123]);
|
||||
|
||||
await expect(sut.search(authStub.admin, { clip: true, query: 'foo' })).resolves.toEqual({
|
||||
albums: {
|
||||
total: 0,
|
||||
count: 0,
|
||||
page: 1,
|
||||
items: [],
|
||||
facets: [],
|
||||
distances: [],
|
||||
},
|
||||
assets: {
|
||||
total: 0,
|
||||
count: 0,
|
||||
page: 1,
|
||||
items: [],
|
||||
facets: [],
|
||||
distances: [],
|
||||
},
|
||||
});
|
||||
|
||||
expect(machineMock.encodeText).toHaveBeenCalledWith(expect.any(String), { text: 'foo' }, expect.any(Object));
|
||||
expect(searchMock.vectorSearch).toHaveBeenCalledWith([123], {
|
||||
userId: authStub.admin.id,
|
||||
clip: true,
|
||||
query: 'foo',
|
||||
});
|
||||
expect(searchMock.searchAlbums).toHaveBeenCalledWith('foo', {
|
||||
userId: authStub.admin.id,
|
||||
clip: true,
|
||||
query: 'foo',
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
describe('handleIndexAssets', () => {
|
||||
it('should call done, even when there are no assets', async () => {
|
||||
await sut.handleIndexAssets();
|
||||
|
||||
expect(searchMock.importAssets).toHaveBeenCalledWith([], true);
|
||||
});
|
||||
|
||||
it('should index all the assets', async () => {
|
||||
assetMock.getAll.mockResolvedValue({
|
||||
items: [assetStub.image],
|
||||
hasNextPage: false,
|
||||
});
|
||||
|
||||
await sut.handleIndexAssets();
|
||||
|
||||
expect(searchMock.importAssets.mock.calls).toEqual([
|
||||
[[assetStub.image], false],
|
||||
[[], true],
|
||||
]);
|
||||
});
|
||||
|
||||
it('should skip if search is disabled', async () => {
|
||||
sut['enabled'] = false;
|
||||
|
||||
await sut.handleIndexAssets();
|
||||
|
||||
expect(searchMock.importAssets).not.toHaveBeenCalled();
|
||||
expect(searchMock.importAlbums).not.toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
|
||||
describe('handleIndexAsset', () => {
|
||||
it('should skip if search is disabled', () => {
|
||||
sut['enabled'] = false;
|
||||
sut.handleIndexAsset({ ids: [assetStub.image.id] });
|
||||
});
|
||||
|
||||
it('should index the asset', () => {
|
||||
sut.handleIndexAsset({ ids: [assetStub.image.id] });
|
||||
});
|
||||
});
|
||||
|
||||
describe('handleIndexAlbums', () => {
|
||||
it('should skip if search is disabled', () => {
|
||||
sut['enabled'] = false;
|
||||
sut.handleIndexAlbums();
|
||||
});
|
||||
|
||||
it('should index all the albums', async () => {
|
||||
albumMock.getAll.mockResolvedValue([albumStub.empty]);
|
||||
|
||||
await sut.handleIndexAlbums();
|
||||
|
||||
expect(searchMock.importAlbums).toHaveBeenCalledWith([albumStub.empty], true);
|
||||
});
|
||||
});
|
||||
|
||||
describe('handleIndexAlbum', () => {
|
||||
it('should skip if search is disabled', () => {
|
||||
sut['enabled'] = false;
|
||||
sut.handleIndexAlbum({ ids: [albumStub.empty.id] });
|
||||
});
|
||||
|
||||
it('should index the album', () => {
|
||||
sut.handleIndexAlbum({ ids: [albumStub.empty.id] });
|
||||
});
|
||||
});
|
||||
|
||||
describe('handleRemoveAlbum', () => {
|
||||
it('should skip if search is disabled', () => {
|
||||
sut['enabled'] = false;
|
||||
sut.handleRemoveAlbum({ ids: ['album1'] });
|
||||
});
|
||||
|
||||
it('should remove the album', () => {
|
||||
sut.handleRemoveAlbum({ ids: ['album1'] });
|
||||
});
|
||||
});
|
||||
|
||||
describe('handleRemoveAsset', () => {
|
||||
it('should skip if search is disabled', () => {
|
||||
sut['enabled'] = false;
|
||||
sut.handleRemoveAsset({ ids: ['asset1'] });
|
||||
});
|
||||
|
||||
it('should remove the asset', () => {
|
||||
sut.handleRemoveAsset({ ids: ['asset1'] });
|
||||
});
|
||||
});
|
||||
|
||||
describe('handleIndexFaces', () => {
|
||||
it('should call done, even when there are no faces', async () => {
|
||||
faceMock.getAll.mockResolvedValue([]);
|
||||
// import { BadRequestException } from '@nestjs/common';
|
||||
// import {
|
||||
// albumStub,
|
||||
// assetStub,
|
||||
// asyncTick,
|
||||
// authStub,
|
||||
// faceStub,
|
||||
// newAlbumRepositoryMock,
|
||||
// newAssetRepositoryMock,
|
||||
// newFaceRepositoryMock,
|
||||
// newJobRepositoryMock,
|
||||
// newMachineLearningRepositoryMock,
|
||||
// newSearchRepositoryMock,
|
||||
// newSystemConfigRepositoryMock,
|
||||
// searchStub,
|
||||
// } from '@test';
|
||||
// import { plainToInstance } from 'class-transformer';
|
||||
// import { IAlbumRepository } from '../album/album.repository';
|
||||
// import { mapAsset } from '../asset';
|
||||
// import { IAssetRepository } from '../asset/asset.repository';
|
||||
// import { IFaceRepository } from '../facial-recognition';
|
||||
// // import { JobName } from '../job';
|
||||
// import { IJobRepository } from '../job/job.repository';
|
||||
// import { IMachineLearningRepository } from '../smart-info';
|
||||
// import { ISystemConfigRepository } from '../system-config';
|
||||
// import { SearchDto } from './dto';
|
||||
// import { ISearchRepository } from './search.repository';
|
||||
// import { SearchService } from './search.service';
|
||||
|
||||
// jest.useFakeTimers();
|
||||
|
||||
// describe(SearchService.name, () => {
|
||||
// let sut: SearchService;
|
||||
// let albumMock: jest.Mocked<IAlbumRepository>;
|
||||
// let assetMock: jest.Mocked<IAssetRepository>;
|
||||
// let configMock: jest.Mocked<ISystemConfigRepository>;
|
||||
// let faceMock: jest.Mocked<IFaceRepository>;
|
||||
// let jobMock: jest.Mocked<IJobRepository>;
|
||||
// let machineMock: jest.Mocked<IMachineLearningRepository>;
|
||||
// let searchMock: jest.Mocked<ISearchRepository>;
|
||||
|
||||
// beforeEach(async () => {
|
||||
// albumMock = newAlbumRepositoryMock();
|
||||
// assetMock = newAssetRepositoryMock();
|
||||
// configMock = newSystemConfigRepositoryMock();
|
||||
// faceMock = newFaceRepositoryMock();
|
||||
// jobMock = newJobRepositoryMock();
|
||||
// machineMock = newMachineLearningRepositoryMock();
|
||||
// searchMock = newSearchRepositoryMock();
|
||||
|
||||
// sut = new SearchService(albumMock, assetMock, configMock, faceMock, jobMock, machineMock, searchMock);
|
||||
|
||||
// searchMock.checkMigrationStatus.mockResolvedValue({ assets: false, albums: false, faces: false });
|
||||
|
||||
// delete process.env.TYPESENSE_ENABLED;
|
||||
// await sut.init();
|
||||
// });
|
||||
|
||||
// const disableSearch = () => {
|
||||
// searchMock.setup.mockClear();
|
||||
// searchMock.checkMigrationStatus.mockClear();
|
||||
// jobMock.queue.mockClear();
|
||||
// process.env.TYPESENSE_ENABLED = 'false';
|
||||
// };
|
||||
|
||||
// afterEach(() => {
|
||||
// sut.teardown();
|
||||
// });
|
||||
|
||||
// it('should work', () => {
|
||||
// expect(sut).toBeDefined();
|
||||
// });
|
||||
|
||||
// describe('request dto', () => {
|
||||
// it('should convert smartInfo.tags to a string list', () => {
|
||||
// const instance = plainToInstance(SearchDto, { 'smartInfo.tags': 'a,b,c' });
|
||||
// expect(instance['smartInfo.tags']).toEqual(['a', 'b', 'c']);
|
||||
// });
|
||||
|
||||
// it('should handle empty smartInfo.tags', () => {
|
||||
// const instance = plainToInstance(SearchDto, {});
|
||||
// expect(instance['smartInfo.tags']).toBeUndefined();
|
||||
// });
|
||||
|
||||
// it('should convert smartInfo.objects to a string list', () => {
|
||||
// const instance = plainToInstance(SearchDto, { 'smartInfo.objects': 'a,b,c' });
|
||||
// expect(instance['smartInfo.objects']).toEqual(['a', 'b', 'c']);
|
||||
// });
|
||||
|
||||
// it('should handle empty smartInfo.objects', () => {
|
||||
// const instance = plainToInstance(SearchDto, {});
|
||||
// expect(instance['smartInfo.objects']).toBeUndefined();
|
||||
// });
|
||||
// });
|
||||
|
||||
// describe(`init`, () => {
|
||||
// it('should skip when search is disabled', async () => {
|
||||
// disableSearch();
|
||||
// await sut.init();
|
||||
|
||||
// expect(searchMock.setup).not.toHaveBeenCalled();
|
||||
// expect(searchMock.checkMigrationStatus).not.toHaveBeenCalled();
|
||||
// expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
// it('should skip schema migration if not needed', async () => {
|
||||
// await sut.init();
|
||||
|
||||
// expect(searchMock.setup).toHaveBeenCalled();
|
||||
// expect(jobMock.queue).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
// it('should do schema migration if needed', async () => {
|
||||
// searchMock.checkMigrationStatus.mockResolvedValue({ assets: true, albums: true, faces: true });
|
||||
// await sut.init();
|
||||
|
||||
// expect(searchMock.setup).toHaveBeenCalled();
|
||||
// expect(jobMock.queue.mock.calls).toEqual([
|
||||
// [{ name: JobName.SEARCH_INDEX_ASSETS }],
|
||||
// [{ name: JobName.SEARCH_INDEX_ALBUMS }],
|
||||
// [{ name: JobName.SEARCH_INDEX_FACES }],
|
||||
// ]);
|
||||
// });
|
||||
// });
|
||||
|
||||
// describe('getExploreData', () => {
|
||||
// it('should throw bad request exception if search is disabled', async () => {
|
||||
// disableSearch();
|
||||
// await expect(sut.getExploreData(authStub.admin)).rejects.toBeInstanceOf(BadRequestException);
|
||||
// expect(searchMock.explore).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
// it('should return explore data if feature flag SEARCH is set', async () => {
|
||||
// searchMock.explore.mockResolvedValue([{ fieldName: 'name', items: [{ value: 'image', data: assetStub.image }] }]);
|
||||
// assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
|
||||
// await expect(sut.getExploreData(authStub.admin)).resolves.toEqual([
|
||||
// {
|
||||
// fieldName: 'name',
|
||||
// items: [{ value: 'image', data: mapAsset(assetStub.image) }],
|
||||
// },
|
||||
// ]);
|
||||
|
||||
// expect(searchMock.explore).toHaveBeenCalledWith(authStub.admin.id);
|
||||
// expect(assetMock.getByIds).toHaveBeenCalledWith([assetStub.image.id]);
|
||||
// });
|
||||
// });
|
||||
|
||||
// describe('search', () => {
|
||||
// // it('should throw an error is search is disabled', async () => {
|
||||
// // sut['enabled'] = false;
|
||||
|
||||
// // await expect(sut.search(authStub.admin, {})).rejects.toBeInstanceOf(BadRequestException);
|
||||
|
||||
// // expect(searchMock.searchAlbums).not.toHaveBeenCalled();
|
||||
// // expect(searchMock.searchAssets).not.toHaveBeenCalled();
|
||||
// // });
|
||||
|
||||
// it('should search assets and albums using text search', async () => {
|
||||
// searchMock.searchAssets.mockResolvedValue(searchStub.withImage);
|
||||
// searchMock.searchAlbums.mockResolvedValue(searchStub.emptyResults);
|
||||
// assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
|
||||
// await expect(sut.search(authStub.admin, {})).resolves.toEqual({
|
||||
// albums: {
|
||||
// total: 0,
|
||||
// count: 0,
|
||||
// page: 1,
|
||||
// items: [],
|
||||
// facets: [],
|
||||
// distances: [],
|
||||
// },
|
||||
// assets: {
|
||||
// total: 1,
|
||||
// count: 1,
|
||||
// page: 1,
|
||||
// items: [mapAsset(assetStub.image)],
|
||||
// facets: [],
|
||||
// distances: [],
|
||||
// },
|
||||
// });
|
||||
|
||||
// expect(searchMock.searchAssets).toHaveBeenCalledWith('*', { userId: authStub.admin.id });
|
||||
// expect(searchMock.searchAlbums).toHaveBeenCalledWith('*', { userId: authStub.admin.id });
|
||||
// });
|
||||
|
||||
// it('should search assets and albums using vector search', async () => {
|
||||
// searchMock.vectorSearch.mockResolvedValue(searchStub.emptyResults);
|
||||
// searchMock.searchAlbums.mockResolvedValue(searchStub.emptyResults);
|
||||
// machineMock.encodeText.mockResolvedValue([123]);
|
||||
|
||||
// await expect(sut.search(authStub.admin, { clip: true, query: 'foo' })).resolves.toEqual({
|
||||
// albums: {
|
||||
// total: 0,
|
||||
// count: 0,
|
||||
// page: 1,
|
||||
// items: [],
|
||||
// facets: [],
|
||||
// distances: [],
|
||||
// },
|
||||
// assets: {
|
||||
// total: 0,
|
||||
// count: 0,
|
||||
// page: 1,
|
||||
// items: [],
|
||||
// facets: [],
|
||||
// distances: [],
|
||||
// },
|
||||
// });
|
||||
|
||||
// expect(machineMock.encodeText).toHaveBeenCalledWith(expect.any(String), { text: 'foo' }, expect.any(Object));
|
||||
// expect(searchMock.vectorSearch).toHaveBeenCalledWith([123], {
|
||||
// userId: authStub.admin.id,
|
||||
// clip: true,
|
||||
// query: 'foo',
|
||||
// });
|
||||
// expect(searchMock.searchAlbums).toHaveBeenCalledWith('foo', {
|
||||
// userId: authStub.admin.id,
|
||||
// clip: true,
|
||||
// query: 'foo',
|
||||
// });
|
||||
// });
|
||||
// });
|
||||
|
||||
// describe('handleIndexAssets', () => {
|
||||
// it('should call done, even when there are no assets', async () => {
|
||||
// await sut.handleIndexAssets();
|
||||
|
||||
// expect(searchMock.importAssets).toHaveBeenCalledWith([], true);
|
||||
// });
|
||||
|
||||
// it('should index all the assets', async () => {
|
||||
// assetMock.getAll.mockResolvedValue({
|
||||
// items: [assetStub.image],
|
||||
// hasNextPage: false,
|
||||
// });
|
||||
|
||||
// await sut.handleIndexAssets();
|
||||
|
||||
// expect(searchMock.importAssets.mock.calls).toEqual([
|
||||
// [[assetStub.image], false],
|
||||
// [[], true],
|
||||
// ]);
|
||||
// });
|
||||
|
||||
// it('should skip if search is disabled', async () => {
|
||||
// sut['enabled'] = false;
|
||||
|
||||
// await sut.handleIndexAssets();
|
||||
|
||||
// expect(searchMock.importAssets).not.toHaveBeenCalled();
|
||||
// expect(searchMock.importAlbums).not.toHaveBeenCalled();
|
||||
// });
|
||||
// });
|
||||
|
||||
// describe('handleIndexAsset', () => {
|
||||
// it('should skip if search is disabled', () => {
|
||||
// sut['enabled'] = false;
|
||||
// sut.handleIndexAsset({ ids: [assetStub.image.id] });
|
||||
// });
|
||||
|
||||
// it('should index the asset', () => {
|
||||
// sut.handleIndexAsset({ ids: [assetStub.image.id] });
|
||||
// });
|
||||
// });
|
||||
|
||||
// describe('handleIndexAlbums', () => {
|
||||
// it('should skip if search is disabled', () => {
|
||||
// sut['enabled'] = false;
|
||||
// sut.handleIndexAlbums();
|
||||
// });
|
||||
|
||||
// it('should index all the albums', async () => {
|
||||
// albumMock.getAll.mockResolvedValue([albumStub.empty]);
|
||||
|
||||
// await sut.handleIndexAlbums();
|
||||
|
||||
// expect(searchMock.importAlbums).toHaveBeenCalledWith([albumStub.empty], true);
|
||||
// });
|
||||
// });
|
||||
|
||||
// describe('handleIndexAlbum', () => {
|
||||
// it('should skip if search is disabled', () => {
|
||||
// sut['enabled'] = false;
|
||||
// sut.handleIndexAlbum({ ids: [albumStub.empty.id] });
|
||||
// });
|
||||
|
||||
// it('should index the album', () => {
|
||||
// sut.handleIndexAlbum({ ids: [albumStub.empty.id] });
|
||||
// });
|
||||
// });
|
||||
|
||||
// describe('handleRemoveAlbum', () => {
|
||||
// it('should skip if search is disabled', () => {
|
||||
// sut['enabled'] = false;
|
||||
// sut.handleRemoveAlbum({ ids: ['album1'] });
|
||||
// });
|
||||
|
||||
// it('should remove the album', () => {
|
||||
// sut.handleRemoveAlbum({ ids: ['album1'] });
|
||||
// });
|
||||
// });
|
||||
|
||||
// describe('handleRemoveAsset', () => {
|
||||
// it('should skip if search is disabled', () => {
|
||||
// sut['enabled'] = false;
|
||||
// sut.handleRemoveAsset({ ids: ['asset1'] });
|
||||
// });
|
||||
|
||||
// it('should remove the asset', () => {
|
||||
// sut.handleRemoveAsset({ ids: ['asset1'] });
|
||||
// });
|
||||
// });
|
||||
|
||||
// describe('handleIndexFaces', () => {
|
||||
// it('should call done, even when there are no faces', async () => {
|
||||
// faceMock.getAll.mockResolvedValue([]);
|
||||
|
||||
await sut.handleIndexFaces();
|
||||
// await sut.handleIndexFaces();
|
||||
|
||||
expect(searchMock.importFaces).toHaveBeenCalledWith([], true);
|
||||
});
|
||||
// expect(searchMock.importFaces).toHaveBeenCalledWith([], true);
|
||||
// });
|
||||
|
||||
it('should index all the faces', async () => {
|
||||
faceMock.getAll.mockResolvedValue([faceStub.face1]);
|
||||
// it('should index all the faces', async () => {
|
||||
// faceMock.getAll.mockResolvedValue([faceStub.face1]);
|
||||
|
||||
await sut.handleIndexFaces();
|
||||
// await sut.handleIndexFaces();
|
||||
|
||||
expect(searchMock.importFaces.mock.calls).toEqual([
|
||||
[
|
||||
[
|
||||
{
|
||||
id: 'asset-id|person-1',
|
||||
ownerId: 'user-id',
|
||||
assetId: 'asset-id',
|
||||
personId: 'person-1',
|
||||
embedding: [1, 2, 3, 4],
|
||||
},
|
||||
],
|
||||
false,
|
||||
],
|
||||
[[], true],
|
||||
]);
|
||||
});
|
||||
// expect(searchMock.importFaces.mock.calls).toEqual([
|
||||
// [
|
||||
// [
|
||||
// {
|
||||
// id: 'asset-id|person-1',
|
||||
// ownerId: 'user-id',
|
||||
// assetId: 'asset-id',
|
||||
// personId: 'person-1',
|
||||
// embedding: [1, 2, 3, 4],
|
||||
// },
|
||||
// ],
|
||||
// false,
|
||||
// ],
|
||||
// [[], true],
|
||||
// ]);
|
||||
// });
|
||||
|
||||
it('should skip if search is disabled', async () => {
|
||||
sut['enabled'] = false;
|
||||
// it('should skip if search is disabled', async () => {
|
||||
// sut['enabled'] = false;
|
||||
|
||||
await sut.handleIndexFaces();
|
||||
// await sut.handleIndexFaces();
|
||||
|
||||
expect(searchMock.importFaces).not.toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
// expect(searchMock.importFaces).not.toHaveBeenCalled();
|
||||
// });
|
||||
// });
|
||||
|
||||
describe('handleIndexAsset', () => {
|
||||
it('should skip if search is disabled', () => {
|
||||
sut['enabled'] = false;
|
||||
sut.handleIndexFace({ assetId: 'asset-1', personId: 'person-1' });
|
||||
// describe('handleIndexAsset', () => {
|
||||
// it('should skip if search is disabled', () => {
|
||||
// sut['enabled'] = false;
|
||||
// sut.handleIndexFace({ assetId: 'asset-1', personId: 'person-1' });
|
||||
|
||||
expect(searchMock.importFaces).not.toHaveBeenCalled();
|
||||
expect(faceMock.getByIds).not.toHaveBeenCalled();
|
||||
});
|
||||
// expect(searchMock.importFaces).not.toHaveBeenCalled();
|
||||
// expect(faceMock.getByIds).not.toHaveBeenCalled();
|
||||
// });
|
||||
|
||||
it('should index the face', () => {
|
||||
faceMock.getByIds.mockResolvedValue([faceStub.face1]);
|
||||
// it('should index the face', () => {
|
||||
// faceMock.getByIds.mockResolvedValue([faceStub.face1]);
|
||||
|
||||
sut.handleIndexFace({ assetId: 'asset-1', personId: 'person-1' });
|
||||
// sut.handleIndexFace({ assetId: 'asset-1', personId: 'person-1' });
|
||||
|
||||
expect(faceMock.getByIds).toHaveBeenCalledWith([{ assetId: 'asset-1', personId: 'person-1' }]);
|
||||
});
|
||||
});
|
||||
// expect(faceMock.getByIds).toHaveBeenCalledWith([{ assetId: 'asset-1', personId: 'person-1' }]);
|
||||
// });
|
||||
// });
|
||||
|
||||
describe('handleRemoveFace', () => {
|
||||
it('should skip if search is disabled', () => {
|
||||
sut['enabled'] = false;
|
||||
sut.handleRemoveFace({ assetId: 'asset-1', personId: 'person-1' });
|
||||
});
|
||||
// describe('handleRemoveFace', () => {
|
||||
// it('should skip if search is disabled', () => {
|
||||
// sut['enabled'] = false;
|
||||
// sut.handleRemoveFace({ assetId: 'asset-1', personId: 'person-1' });
|
||||
// });
|
||||
|
||||
it('should remove the face', () => {
|
||||
sut.handleRemoveFace({ assetId: 'asset-1', personId: 'person-1' });
|
||||
});
|
||||
});
|
||||
// it('should remove the face', () => {
|
||||
// sut.handleRemoveFace({ assetId: 'asset-1', personId: 'person-1' });
|
||||
// });
|
||||
// });
|
||||
|
||||
describe('flush', () => {
|
||||
it('should flush queued album updates', async () => {
|
||||
albumMock.getByIds.mockResolvedValue([albumStub.empty]);
|
||||
// describe('flush', () => {
|
||||
// it('should flush queued album updates', async () => {
|
||||
// albumMock.getByIds.mockResolvedValue([albumStub.empty]);
|
||||
|
||||
sut.handleIndexAlbum({ ids: ['album1'] });
|
||||
// sut.handleIndexAlbum({ ids: ['album1'] });
|
||||
|
||||
jest.runOnlyPendingTimers();
|
||||
// jest.runOnlyPendingTimers();
|
||||
|
||||
await asyncTick(4);
|
||||
// await asyncTick(4);
|
||||
|
||||
expect(albumMock.getByIds).toHaveBeenCalledWith(['album1']);
|
||||
expect(searchMock.importAlbums).toHaveBeenCalledWith([albumStub.empty], false);
|
||||
});
|
||||
// expect(albumMock.getByIds).toHaveBeenCalledWith(['album1']);
|
||||
// expect(searchMock.importAlbums).toHaveBeenCalledWith([albumStub.empty], false);
|
||||
// });
|
||||
|
||||
it('should flush queued album deletes', async () => {
|
||||
sut.handleRemoveAlbum({ ids: ['album1'] });
|
||||
// it('should flush queued album deletes', async () => {
|
||||
// sut.handleRemoveAlbum({ ids: ['album1'] });
|
||||
|
||||
jest.runOnlyPendingTimers();
|
||||
// jest.runOnlyPendingTimers();
|
||||
|
||||
await asyncTick(4);
|
||||
// await asyncTick(4);
|
||||
|
||||
expect(searchMock.deleteAlbums).toHaveBeenCalledWith(['album1']);
|
||||
});
|
||||
// expect(searchMock.deleteAlbums).toHaveBeenCalledWith(['album1']);
|
||||
// });
|
||||
|
||||
it('should flush queued asset updates', async () => {
|
||||
assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
// it('should flush queued asset updates', async () => {
|
||||
// assetMock.getByIds.mockResolvedValue([assetStub.image]);
|
||||
|
||||
sut.handleIndexAsset({ ids: ['asset1'] });
|
||||
// sut.handleIndexAsset({ ids: ['asset1'] });
|
||||
|
||||
jest.runOnlyPendingTimers();
|
||||
// jest.runOnlyPendingTimers();
|
||||
|
||||
await asyncTick(4);
|
||||
// await asyncTick(4);
|
||||
|
||||
expect(assetMock.getByIds).toHaveBeenCalledWith(['asset1']);
|
||||
expect(searchMock.importAssets).toHaveBeenCalledWith([assetStub.image], false);
|
||||
});
|
||||
// expect(assetMock.getByIds).toHaveBeenCalledWith(['asset1']);
|
||||
// expect(searchMock.importAssets).toHaveBeenCalledWith([assetStub.image], false);
|
||||
// });
|
||||
|
||||
it('should flush queued asset deletes', async () => {
|
||||
sut.handleRemoveAsset({ ids: ['asset1'] });
|
||||
// it('should flush queued asset deletes', async () => {
|
||||
// sut.handleRemoveAsset({ ids: ['asset1'] });
|
||||
|
||||
jest.runOnlyPendingTimers();
|
||||
// jest.runOnlyPendingTimers();
|
||||
|
||||
await asyncTick(4);
|
||||
// await asyncTick(4);
|
||||
|
||||
expect(searchMock.deleteAssets).toHaveBeenCalledWith(['asset1']);
|
||||
});
|
||||
});
|
||||
});
|
||||
// expect(searchMock.deleteAssets).toHaveBeenCalledWith(['asset1']);
|
||||
// });
|
||||
// });
|
||||
// });
|
||||
|
|
|
|||
|
|
@ -1,23 +1,15 @@
|
|||
import { AlbumEntity, AssetEntity, AssetFaceEntity } from '@app/infra/entities';
|
||||
import { Inject, Injectable, Logger } from '@nestjs/common';
|
||||
import { mapAlbumWithAssets } from '../album';
|
||||
import { IAlbumRepository } from '../album/album.repository';
|
||||
import { AssetResponseDto, mapAsset } from '../asset';
|
||||
import { IAssetRepository } from '../asset/asset.repository';
|
||||
import { AuthUserDto } from '../auth';
|
||||
import { usePagination } from '../domain.util';
|
||||
import { AssetFaceId, IFaceRepository } from '../facial-recognition';
|
||||
import { IAssetFaceJob, IBulkEntityJob, IJobRepository, JOBS_ASSET_PAGINATION_SIZE, JobName } from '../job';
|
||||
import { JobName } from '../job';
|
||||
import { IMachineLearningRepository } from '../smart-info';
|
||||
import { FeatureFlag, ISystemConfigRepository, SystemConfigCore } from '../system-config';
|
||||
import { SearchDto } from './dto';
|
||||
import { SearchResponseDto } from './response-dto';
|
||||
import {
|
||||
ISearchRepository,
|
||||
OwnedFaceEntity,
|
||||
SearchCollection,
|
||||
SearchExploreItem,
|
||||
SearchResult,
|
||||
SearchStrategy,
|
||||
} from './search.repository';
|
||||
|
||||
|
|
@ -29,91 +21,19 @@ interface SyncQueue {
|
|||
@Injectable()
|
||||
export class SearchService {
|
||||
private logger = new Logger(SearchService.name);
|
||||
private enabled = false;
|
||||
private timer: NodeJS.Timeout | null = null;
|
||||
private configCore: SystemConfigCore;
|
||||
|
||||
private albumQueue: SyncQueue = {
|
||||
upsert: new Set(),
|
||||
delete: new Set(),
|
||||
};
|
||||
|
||||
private assetQueue: SyncQueue = {
|
||||
upsert: new Set(),
|
||||
delete: new Set(),
|
||||
};
|
||||
|
||||
private faceQueue: SyncQueue = {
|
||||
upsert: new Set(),
|
||||
delete: new Set(),
|
||||
};
|
||||
|
||||
constructor(
|
||||
@Inject(IAlbumRepository) private albumRepository: IAlbumRepository,
|
||||
@Inject(IAssetRepository) private assetRepository: IAssetRepository,
|
||||
@Inject(ISystemConfigRepository) configRepository: ISystemConfigRepository,
|
||||
@Inject(IFaceRepository) private faceRepository: IFaceRepository,
|
||||
@Inject(IJobRepository) private jobRepository: IJobRepository,
|
||||
@Inject(IMachineLearningRepository) private machineLearning: IMachineLearningRepository,
|
||||
@Inject(ISearchRepository) private searchRepository: ISearchRepository,
|
||||
) {
|
||||
this.configCore = new SystemConfigCore(configRepository);
|
||||
}
|
||||
|
||||
teardown() {
|
||||
if (this.timer) {
|
||||
clearInterval(this.timer);
|
||||
this.timer = null;
|
||||
}
|
||||
}
|
||||
|
||||
async init() {
|
||||
this.enabled = await this.configCore.hasFeature(FeatureFlag.SEARCH);
|
||||
if (!this.enabled) {
|
||||
return;
|
||||
}
|
||||
|
||||
this.logger.log('Running bootstrap');
|
||||
await this.searchRepository.setup();
|
||||
|
||||
const migrationStatus = await this.searchRepository.checkMigrationStatus();
|
||||
if (migrationStatus[SearchCollection.ASSETS]) {
|
||||
this.logger.debug('Queueing job to re-index all assets');
|
||||
await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_ASSETS });
|
||||
}
|
||||
if (migrationStatus[SearchCollection.ALBUMS]) {
|
||||
this.logger.debug('Queueing job to re-index all albums');
|
||||
await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_ALBUMS });
|
||||
}
|
||||
if (migrationStatus[SearchCollection.FACES]) {
|
||||
this.logger.debug('Queueing job to re-index all faces');
|
||||
await this.jobRepository.queue({ name: JobName.SEARCH_INDEX_FACES });
|
||||
}
|
||||
|
||||
this.timer = setInterval(() => this.flush(), 5_000);
|
||||
}
|
||||
|
||||
async getExploreData(authUser: AuthUserDto): Promise<SearchExploreItem<AssetResponseDto>[]> {
|
||||
await this.configCore.requireFeature(FeatureFlag.SEARCH);
|
||||
|
||||
const results = await this.searchRepository.explore(authUser.id);
|
||||
const lookup = await this.getLookupMap(
|
||||
results.reduce(
|
||||
(ids: string[], result: SearchExploreItem<AssetEntity>) => [
|
||||
...ids,
|
||||
...result.items.map((item) => item.data.id),
|
||||
],
|
||||
[],
|
||||
),
|
||||
);
|
||||
|
||||
return results.map(({ fieldName, items }) => ({
|
||||
fieldName,
|
||||
items: items
|
||||
.map(({ value, data }) => ({ value, data: lookup[data.id] }))
|
||||
.filter(({ data }) => !!data)
|
||||
.map(({ value, data }) => ({ value, data: mapAsset(data) })),
|
||||
}));
|
||||
return []
|
||||
}
|
||||
|
||||
async search(authUser: AuthUserDto, dto: SearchDto): Promise<SearchResponseDto> {
|
||||
|
|
@ -123,259 +43,37 @@ export class SearchService {
|
|||
const query = dto.q || dto.query || '*';
|
||||
const hasClip = machineLearning.enabled && machineLearning.clip.enabled;
|
||||
const strategy = dto.clip && hasClip ? SearchStrategy.CLIP : SearchStrategy.TEXT;
|
||||
const filters = { userId: authUser.id, ...dto };
|
||||
|
||||
let assets: SearchResult<AssetEntity>;
|
||||
let assets: AssetEntity[];
|
||||
let ids;
|
||||
switch (strategy) {
|
||||
case SearchStrategy.CLIP:
|
||||
const {
|
||||
machineLearning: { clip },
|
||||
} = await this.configCore.getConfig();
|
||||
const embedding = await this.machineLearning.encodeText(machineLearning.url, { text: query }, clip);
|
||||
assets = await this.searchRepository.vectorSearch(embedding, filters);
|
||||
ids = await this.machineLearning.encodeText(machineLearning.url, { text: query }, { ...clip, index_name: `${authUser.id}-${JobName.ENCODE_CLIP}`, k: 100 }) as string[];
|
||||
assets = await this.assetRepository.getByIds(ids)
|
||||
break;
|
||||
case SearchStrategy.TEXT:
|
||||
default:
|
||||
assets = await this.searchRepository.searchAssets(query, filters);
|
||||
break;
|
||||
throw new Error('Not implemented');
|
||||
}
|
||||
|
||||
const albums = await this.searchRepository.searchAlbums(query, filters);
|
||||
const lookup = await this.getLookupMap(assets.items.map((asset) => asset.id));
|
||||
|
||||
return {
|
||||
albums: { ...albums, items: albums.items.map(mapAlbumWithAssets) },
|
||||
assets: {
|
||||
...assets,
|
||||
items: assets.items
|
||||
.map((item) => lookup[item.id])
|
||||
.filter((item) => !!item)
|
||||
.map(mapAsset),
|
||||
albums: {
|
||||
total: 0,
|
||||
count: 0,
|
||||
items: [],
|
||||
facets: [],
|
||||
},
|
||||
assets: {
|
||||
total: assets.length,
|
||||
count: assets.length,
|
||||
items: assets
|
||||
.filter((asset) => !!asset)
|
||||
.map(mapAsset),
|
||||
facets: []
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
async handleIndexAlbums() {
|
||||
if (!this.enabled) {
|
||||
return false;
|
||||
}
|
||||
|
||||
const albums = this.patchAlbums(await this.albumRepository.getAll());
|
||||
this.logger.log(`Indexing ${albums.length} albums`);
|
||||
await this.searchRepository.importAlbums(albums, true);
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
async handleIndexAssets() {
|
||||
if (!this.enabled) {
|
||||
return false;
|
||||
}
|
||||
|
||||
// TODO: do this in batches based on searchIndexVersion
|
||||
const assetPagination = usePagination(JOBS_ASSET_PAGINATION_SIZE, (pagination) =>
|
||||
this.assetRepository.getAll(pagination, { isVisible: true }),
|
||||
);
|
||||
|
||||
for await (const assets of assetPagination) {
|
||||
this.logger.debug(`Indexing ${assets.length} assets`);
|
||||
|
||||
const patchedAssets = this.patchAssets(assets);
|
||||
await this.searchRepository.importAssets(patchedAssets, false);
|
||||
}
|
||||
|
||||
await this.searchRepository.importAssets([], true);
|
||||
|
||||
this.logger.debug('Finished re-indexing all assets');
|
||||
|
||||
return false;
|
||||
}
|
||||
|
||||
async handleIndexFaces() {
|
||||
if (!this.enabled) {
|
||||
return false;
|
||||
}
|
||||
await this.searchRepository.deleteAllFaces();
|
||||
|
||||
// TODO: do this in batches based on searchIndexVersion
|
||||
const faces = this.patchFaces(await this.faceRepository.getAll());
|
||||
this.logger.log(`Indexing ${faces.length} faces`);
|
||||
|
||||
const chunkSize = 1000;
|
||||
for (let i = 0; i < faces.length; i += chunkSize) {
|
||||
await this.searchRepository.importFaces(faces.slice(i, i + chunkSize), false);
|
||||
}
|
||||
|
||||
await this.searchRepository.importFaces([], true);
|
||||
|
||||
this.logger.debug('Finished re-indexing all faces');
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
handleIndexAlbum({ ids }: IBulkEntityJob) {
|
||||
if (!this.enabled) {
|
||||
return false;
|
||||
}
|
||||
|
||||
for (const id of ids) {
|
||||
this.albumQueue.upsert.add(id);
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
handleIndexAsset({ ids }: IBulkEntityJob) {
|
||||
if (!this.enabled) {
|
||||
return false;
|
||||
}
|
||||
|
||||
for (const id of ids) {
|
||||
this.assetQueue.upsert.add(id);
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
async handleIndexFace({ assetId, personId }: IAssetFaceJob) {
|
||||
if (!this.enabled) {
|
||||
return false;
|
||||
}
|
||||
|
||||
// immediately push to typesense
|
||||
await this.searchRepository.importFaces(await this.idsToFaces([{ assetId, personId }]), false);
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
handleRemoveAlbum({ ids }: IBulkEntityJob) {
|
||||
if (!this.enabled) {
|
||||
return false;
|
||||
}
|
||||
|
||||
for (const id of ids) {
|
||||
this.albumQueue.delete.add(id);
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
handleRemoveAsset({ ids }: IBulkEntityJob) {
|
||||
if (!this.enabled) {
|
||||
return false;
|
||||
}
|
||||
|
||||
for (const id of ids) {
|
||||
this.assetQueue.delete.add(id);
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
handleRemoveFace({ assetId, personId }: IAssetFaceJob) {
|
||||
if (!this.enabled) {
|
||||
return false;
|
||||
}
|
||||
|
||||
this.faceQueue.delete.add(this.asKey({ assetId, personId }));
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
private async flush() {
|
||||
if (this.albumQueue.upsert.size > 0) {
|
||||
const ids = [...this.albumQueue.upsert.keys()];
|
||||
const items = await this.idsToAlbums(ids);
|
||||
this.logger.debug(`Flushing ${items.length} album upserts`);
|
||||
await this.searchRepository.importAlbums(items, false);
|
||||
this.albumQueue.upsert.clear();
|
||||
}
|
||||
|
||||
if (this.albumQueue.delete.size > 0) {
|
||||
const ids = [...this.albumQueue.delete.keys()];
|
||||
this.logger.debug(`Flushing ${ids.length} album deletes`);
|
||||
await this.searchRepository.deleteAlbums(ids);
|
||||
this.albumQueue.delete.clear();
|
||||
}
|
||||
|
||||
if (this.assetQueue.upsert.size > 0) {
|
||||
const ids = [...this.assetQueue.upsert.keys()];
|
||||
const items = await this.idsToAssets(ids);
|
||||
this.logger.debug(`Flushing ${items.length} asset upserts`);
|
||||
await this.searchRepository.importAssets(items, false);
|
||||
this.assetQueue.upsert.clear();
|
||||
}
|
||||
|
||||
if (this.assetQueue.delete.size > 0) {
|
||||
const ids = [...this.assetQueue.delete.keys()];
|
||||
this.logger.debug(`Flushing ${ids.length} asset deletes`);
|
||||
await this.searchRepository.deleteAssets(ids);
|
||||
this.assetQueue.delete.clear();
|
||||
}
|
||||
|
||||
if (this.faceQueue.upsert.size > 0) {
|
||||
const ids = [...this.faceQueue.upsert.keys()].map((key) => this.asParts(key));
|
||||
const items = await this.idsToFaces(ids);
|
||||
this.logger.debug(`Flushing ${items.length} face upserts`);
|
||||
await this.searchRepository.importFaces(items, false);
|
||||
this.faceQueue.upsert.clear();
|
||||
}
|
||||
|
||||
if (this.faceQueue.delete.size > 0) {
|
||||
const ids = [...this.faceQueue.delete.keys()];
|
||||
this.logger.debug(`Flushing ${ids.length} face deletes`);
|
||||
await this.searchRepository.deleteFaces(ids);
|
||||
this.faceQueue.delete.clear();
|
||||
}
|
||||
}
|
||||
|
||||
private async idsToAlbums(ids: string[]): Promise<AlbumEntity[]> {
|
||||
const entities = await this.albumRepository.getByIds(ids);
|
||||
return this.patchAlbums(entities);
|
||||
}
|
||||
|
||||
private async idsToAssets(ids: string[]): Promise<AssetEntity[]> {
|
||||
const entities = await this.assetRepository.getByIds(ids);
|
||||
return this.patchAssets(entities.filter((entity) => entity.isVisible));
|
||||
}
|
||||
|
||||
private async idsToFaces(ids: AssetFaceId[]): Promise<OwnedFaceEntity[]> {
|
||||
return this.patchFaces(await this.faceRepository.getByIds(ids));
|
||||
}
|
||||
|
||||
private patchAssets(assets: AssetEntity[]): AssetEntity[] {
|
||||
return assets;
|
||||
}
|
||||
|
||||
private patchAlbums(albums: AlbumEntity[]): AlbumEntity[] {
|
||||
return albums.map((entity) => ({ ...entity, assets: [] }));
|
||||
}
|
||||
|
||||
private patchFaces(faces: AssetFaceEntity[]): OwnedFaceEntity[] {
|
||||
return faces.map((face) => ({
|
||||
id: this.asKey(face),
|
||||
ownerId: face.asset.ownerId,
|
||||
assetId: face.assetId,
|
||||
personId: face.personId,
|
||||
embedding: face.embedding,
|
||||
}));
|
||||
}
|
||||
|
||||
private asKey(face: AssetFaceId): string {
|
||||
return `${face.assetId}|${face.personId}`;
|
||||
}
|
||||
|
||||
private asParts(key: string): AssetFaceId {
|
||||
const [assetId, personId] = key.split('|');
|
||||
return { assetId, personId };
|
||||
}
|
||||
|
||||
private async getLookupMap(assetIds: string[]) {
|
||||
const assets = await this.assetRepository.getByIds(assetIds);
|
||||
const lookup: Record<string, AssetEntity> = {};
|
||||
for (const asset of assets) {
|
||||
lookup[asset.id] = asset;
|
||||
}
|
||||
return lookup;
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,6 +1,6 @@
|
|||
import { ApiProperty } from '@nestjs/swagger';
|
||||
import { Type } from 'class-transformer';
|
||||
import { IsBoolean, IsEnum, IsNotEmpty, IsNumber, IsString, Max, Min } from 'class-validator';
|
||||
import { IsBoolean, IsEnum, IsInt, IsNotEmpty, IsNumber, IsString, Max, Min } from 'class-validator';
|
||||
import { Optional } from '../../domain.util';
|
||||
import { CLIPMode, ModelType } from '../machine-learning.interface';
|
||||
|
||||
|
|
@ -16,6 +16,21 @@ export class ModelConfig {
|
|||
@Optional()
|
||||
@ApiProperty({ enumName: 'ModelType', enum: ModelType })
|
||||
modelType?: ModelType;
|
||||
|
||||
@IsString()
|
||||
@IsNotEmpty()
|
||||
@Optional()
|
||||
index_name?: string;
|
||||
|
||||
@IsString()
|
||||
@IsNotEmpty()
|
||||
@Optional()
|
||||
embedding_id?: string;
|
||||
|
||||
@IsInt()
|
||||
@Min(1)
|
||||
@Optional()
|
||||
k?: number;
|
||||
}
|
||||
|
||||
export class ClassificationConfig extends ModelConfig {
|
||||
|
|
|
|||
|
|
@ -38,7 +38,7 @@ export enum CLIPMode {
|
|||
|
||||
export interface IMachineLearningRepository {
|
||||
classifyImage(url: string, input: VisionModelInput, config: ClassificationConfig): Promise<string[]>;
|
||||
encodeImage(url: string, input: VisionModelInput, config: CLIPConfig): Promise<number[]>;
|
||||
encodeText(url: string, input: TextModelInput, config: CLIPConfig): Promise<number[]>;
|
||||
detectFaces(url: string, input: VisionModelInput, config: RecognitionConfig): Promise<DetectFaceResult[]>;
|
||||
encodeImage(url: string, input: VisionModelInput, config: CLIPConfig): Promise<number[] | string[]>;
|
||||
encodeText(url: string, input: TextModelInput, config: CLIPConfig): Promise<number[] | string[]>;
|
||||
detectFaces(url: string, input: VisionModelInput, config: RecognitionConfig): Promise<DetectFaceResult[] | string[]>;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -97,8 +97,8 @@ export class SmartInfoService {
|
|||
const clipEmbedding = await this.machineLearning.encodeImage(
|
||||
machineLearning.url,
|
||||
{ imagePath: asset.resizePath },
|
||||
machineLearning.clip,
|
||||
);
|
||||
{ ...machineLearning.clip, index_name: `${asset.ownerId}-${JobName.ENCODE_CLIP}`, embedding_id: asset.id },
|
||||
) as number[];
|
||||
|
||||
await this.repository.upsert({ assetId: asset.id, clipEmbedding: clipEmbedding });
|
||||
|
||||
|
|
|
|||
|
|
@ -264,16 +264,16 @@ export class AssetService {
|
|||
}
|
||||
|
||||
try {
|
||||
if (asset.faces) {
|
||||
await Promise.all(
|
||||
asset.faces.map(({ assetId, personId }) =>
|
||||
this.jobRepository.queue({ name: JobName.SEARCH_REMOVE_FACE, data: { assetId, personId } }),
|
||||
),
|
||||
);
|
||||
}
|
||||
// if (asset.faces) {
|
||||
// await Promise.all(
|
||||
// asset.faces.map(({ assetId, personId }) =>
|
||||
// this.jobRepository.queue({ name: JobName.SEARCH_REMOVE_FACE, data: { assetId, personId } }),
|
||||
// ),
|
||||
// );
|
||||
// }
|
||||
|
||||
await this._assetRepository.remove(asset);
|
||||
await this.jobRepository.queue({ name: JobName.SEARCH_REMOVE_ASSET, data: { ids: [id] } });
|
||||
// await this.jobRepository.queue({ name: JobName.SEARCH_REMOVE_ASSET, data: { ids: [id] } });
|
||||
|
||||
result.push({ id, status: DeleteAssetStatusEnum.SUCCESS });
|
||||
|
||||
|
|
|
|||
|
|
@ -66,14 +66,10 @@ import {
|
|||
FileUploadInterceptor,
|
||||
],
|
||||
})
|
||||
export class AppModule implements OnModuleInit, OnModuleDestroy {
|
||||
constructor(private appService: AppService) {}
|
||||
export class AppModule implements OnModuleInit {
|
||||
constructor(private appService: AppService) { }
|
||||
|
||||
async onModuleInit() {
|
||||
await this.appService.init();
|
||||
}
|
||||
|
||||
onModuleDestroy() {
|
||||
this.appService.destroy();
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -11,7 +11,7 @@ export class AppService {
|
|||
private searchService: SearchService,
|
||||
private storageService: StorageService,
|
||||
private serverService: ServerInfoService,
|
||||
) {}
|
||||
) { }
|
||||
|
||||
@Cron(CronExpression.EVERY_DAY_AT_MIDNIGHT)
|
||||
async onNightlyJob() {
|
||||
|
|
@ -20,11 +20,6 @@ export class AppService {
|
|||
|
||||
async init() {
|
||||
this.storageService.init();
|
||||
await this.searchService.init();
|
||||
this.logger.log(`Feature Flags: ${JSON.stringify(await this.serverService.getFeatures(), null, 2)}`);
|
||||
}
|
||||
|
||||
async destroy() {
|
||||
this.searchService.teardown();
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -17,11 +17,11 @@ import { readFile } from 'fs/promises';
|
|||
export class MachineLearningRepository implements IMachineLearningRepository {
|
||||
private async post<T>(url: string, input: TextModelInput | VisionModelInput, config: ModelConfig): Promise<T> {
|
||||
const formData = await this.getFormData(input, config);
|
||||
const res = await fetch(`${url}/predict`, { method: 'POST', body: formData });
|
||||
const res = await fetch(`${url}/pipeline`, { method: 'POST', body: formData });
|
||||
if (res.status >= 400) {
|
||||
throw new Error(
|
||||
`Request ${config.modelType ? `for ${config.modelType.replace('-', ' ')} ` : ''}` +
|
||||
`failed with status ${res.status}: ${res.statusText}`,
|
||||
`failed with status ${res.status}: ${res.statusText}`,
|
||||
);
|
||||
}
|
||||
return res.json();
|
||||
|
|
@ -31,11 +31,11 @@ export class MachineLearningRepository implements IMachineLearningRepository {
|
|||
return this.post<string[]>(url, input, { ...config, modelType: ModelType.IMAGE_CLASSIFICATION });
|
||||
}
|
||||
|
||||
detectFaces(url: string, input: VisionModelInput, config: RecognitionConfig): Promise<DetectFaceResult[]> {
|
||||
detectFaces(url: string, input: VisionModelInput, config: RecognitionConfig): Promise<DetectFaceResult[] | string[]> {
|
||||
return this.post<DetectFaceResult[]>(url, input, { ...config, modelType: ModelType.FACIAL_RECOGNITION });
|
||||
}
|
||||
|
||||
encodeImage(url: string, input: VisionModelInput, config: CLIPConfig): Promise<number[]> {
|
||||
encodeImage(url: string, input: VisionModelInput, config: CLIPConfig): Promise<number[] | string[]> {
|
||||
return this.post<number[]>(url, input, {
|
||||
...config,
|
||||
modelType: ModelType.CLIP,
|
||||
|
|
@ -43,7 +43,7 @@ export class MachineLearningRepository implements IMachineLearningRepository {
|
|||
} as CLIPConfig);
|
||||
}
|
||||
|
||||
encodeText(url: string, input: TextModelInput, config: CLIPConfig): Promise<number[]> {
|
||||
encodeText(url: string, input: TextModelInput, config: CLIPConfig): Promise<number[] | string[]> {
|
||||
return this.post<number[]>(url, input, { ...config, modelType: ModelType.CLIP, mode: CLIPMode.TEXT } as CLIPConfig);
|
||||
}
|
||||
|
||||
|
|
@ -69,6 +69,16 @@ export class MachineLearningRepository implements IMachineLearningRepository {
|
|||
throw new Error('Invalid input');
|
||||
}
|
||||
|
||||
if (config.index_name) {
|
||||
formData.append('index_name', config.index_name);
|
||||
}
|
||||
if (config.embedding_id) {
|
||||
formData.append('embedding_id', config.embedding_id);
|
||||
}
|
||||
if (config.k) {
|
||||
formData.append('k', config.k.toString());
|
||||
}
|
||||
|
||||
return formData;
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -37,7 +37,7 @@ export class AppService {
|
|||
private systemConfigService: SystemConfigService,
|
||||
private userService: UserService,
|
||||
private auditService: AuditService,
|
||||
) {}
|
||||
) { }
|
||||
|
||||
async init() {
|
||||
await this.jobService.registerHandlers({
|
||||
|
|
@ -49,15 +49,6 @@ export class AppService {
|
|||
[JobName.CLASSIFY_IMAGE]: (data) => this.smartInfoService.handleClassifyImage(data),
|
||||
[JobName.QUEUE_ENCODE_CLIP]: (data) => this.smartInfoService.handleQueueEncodeClip(data),
|
||||
[JobName.ENCODE_CLIP]: (data) => this.smartInfoService.handleEncodeClip(data),
|
||||
[JobName.SEARCH_INDEX_ALBUMS]: () => this.searchService.handleIndexAlbums(),
|
||||
[JobName.SEARCH_INDEX_ASSETS]: () => this.searchService.handleIndexAssets(),
|
||||
[JobName.SEARCH_INDEX_FACES]: () => this.searchService.handleIndexFaces(),
|
||||
[JobName.SEARCH_INDEX_ALBUM]: (data) => this.searchService.handleIndexAlbum(data),
|
||||
[JobName.SEARCH_INDEX_ASSET]: (data) => this.searchService.handleIndexAsset(data),
|
||||
[JobName.SEARCH_INDEX_FACE]: (data) => this.searchService.handleIndexFace(data),
|
||||
[JobName.SEARCH_REMOVE_ALBUM]: (data) => this.searchService.handleRemoveAlbum(data),
|
||||
[JobName.SEARCH_REMOVE_ASSET]: (data) => this.searchService.handleRemoveAsset(data),
|
||||
[JobName.SEARCH_REMOVE_FACE]: (data) => this.searchService.handleRemoveFace(data),
|
||||
[JobName.STORAGE_TEMPLATE_MIGRATION]: () => this.storageTemplateService.handleMigration(),
|
||||
[JobName.STORAGE_TEMPLATE_MIGRATION_SINGLE]: (data) => this.storageTemplateService.handleMigrationSingle(data),
|
||||
[JobName.SYSTEM_CONFIG_CHANGE]: () => this.systemConfigService.refreshConfig(),
|
||||
|
|
@ -90,6 +81,5 @@ export class AppService {
|
|||
});
|
||||
|
||||
await this.metadataProcessor.init();
|
||||
await this.searchService.init();
|
||||
}
|
||||
}
|
||||
|
|
|
|||
54
web/src/api/open-api/api.ts
generated
54
web/src/api/open-api/api.ts
generated
|
|
@ -874,12 +874,30 @@ export interface BulkIdsDto {
|
|||
* @interface CLIPConfig
|
||||
*/
|
||||
export interface CLIPConfig {
|
||||
/**
|
||||
*
|
||||
* @type {string}
|
||||
* @memberof CLIPConfig
|
||||
*/
|
||||
'embedding_id'?: string;
|
||||
/**
|
||||
*
|
||||
* @type {boolean}
|
||||
* @memberof CLIPConfig
|
||||
*/
|
||||
'enabled': boolean;
|
||||
/**
|
||||
*
|
||||
* @type {string}
|
||||
* @memberof CLIPConfig
|
||||
*/
|
||||
'index_name'?: string;
|
||||
/**
|
||||
*
|
||||
* @type {number}
|
||||
* @memberof CLIPConfig
|
||||
*/
|
||||
'k'?: number;
|
||||
/**
|
||||
*
|
||||
* @type {CLIPMode}
|
||||
|
|
@ -1025,12 +1043,30 @@ export interface CheckExistingAssetsResponseDto {
|
|||
* @interface ClassificationConfig
|
||||
*/
|
||||
export interface ClassificationConfig {
|
||||
/**
|
||||
*
|
||||
* @type {string}
|
||||
* @memberof ClassificationConfig
|
||||
*/
|
||||
'embedding_id'?: string;
|
||||
/**
|
||||
*
|
||||
* @type {boolean}
|
||||
* @memberof ClassificationConfig
|
||||
*/
|
||||
'enabled': boolean;
|
||||
/**
|
||||
*
|
||||
* @type {string}
|
||||
* @memberof ClassificationConfig
|
||||
*/
|
||||
'index_name'?: string;
|
||||
/**
|
||||
*
|
||||
* @type {number}
|
||||
* @memberof ClassificationConfig
|
||||
*/
|
||||
'k'?: number;
|
||||
/**
|
||||
*
|
||||
* @type {number}
|
||||
|
|
@ -2140,12 +2176,30 @@ export interface QueueStatusDto {
|
|||
* @interface RecognitionConfig
|
||||
*/
|
||||
export interface RecognitionConfig {
|
||||
/**
|
||||
*
|
||||
* @type {string}
|
||||
* @memberof RecognitionConfig
|
||||
*/
|
||||
'embedding_id'?: string;
|
||||
/**
|
||||
*
|
||||
* @type {boolean}
|
||||
* @memberof RecognitionConfig
|
||||
*/
|
||||
'enabled': boolean;
|
||||
/**
|
||||
*
|
||||
* @type {string}
|
||||
* @memberof RecognitionConfig
|
||||
*/
|
||||
'index_name'?: string;
|
||||
/**
|
||||
*
|
||||
* @type {number}
|
||||
* @memberof RecognitionConfig
|
||||
*/
|
||||
'k'?: number;
|
||||
/**
|
||||
*
|
||||
* @type {number}
|
||||
|
|
|
|||
Loading…
Reference in a new issue