Make Search Model Configurable on Server (#544)

- Make search model configurable on server
- Update migration script to get search model from `khoj.yml` to Postgres
- Update first run message on Khoj Desktop and Web app landing page
- Other miscellaneous bug fixes

.github/workflows/dockerize_dev.yml

@@ -0,0 +1,43 @@
+name: dockerize-dev
+
+on:
+  pull_request:
+    paths:
+      - src/khoj/**
+      - config/**
+      - pyproject.toml
+      - prod.Dockerfile
+      - .github/workflows/dockerize_dev.yml
+  workflow_dispatch:
+
+env:
+  DOCKER_IMAGE_TAG: 'dev'
+
+jobs:
+  build:
+    name: Build Production Docker Image, Push to Container Registry
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout Code
+        uses: actions/checkout@v3
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v2
+
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@v2
+        with:
+          registry: ghcr.io
+          username: ${{ github.repository_owner }}
+          password: ${{ secrets.PAT }}
+
+      - name: 📦 Build and Push Docker Image
+        uses: docker/build-push-action@v2
+        with:
+          context: .
+          file: prod.Dockerfile
+          platforms: linux/amd64
+          push: true
+          tags: ghcr.io/${{ github.repository }}:${{ env.DOCKER_IMAGE_TAG }}
+          build-args: |
+            PORT=42110

pyproject.toml

@@ -54,7 +54,7 @@ dependencies = [
     "transformers >= 4.28.0",
     "torch == 2.0.1",
     "uvicorn == 0.17.6",
-    "aiohttp == 3.8.5",
+    "aiohttp == 3.8.6",
     "langchain >= 0.0.331",
     "requests >= 2.26.0",
     "bs4 >= 0.0.1",

src/database/adapters/__init__.py

@@ -1,8 +1,8 @@
 import math
-from typing import Optional, Type, TypeVar, List
-from datetime import date, datetime, timedelta
+from typing import Optional, Type, List
+from datetime import date, datetime
 import secrets
-from typing import Type, TypeVar, List
+from typing import Type, List
 from datetime import date, timezone
 
 from django.db import models
@@ -11,10 +11,6 @@ from pgvector.django import CosineDistance
 from django.db.models.manager import BaseManager
 from django.db.models import Q
 from torch import Tensor
-from pgvector.django import CosineDistance
-from django.db.models.manager import BaseManager
-from django.db.models import Q
-from torch import Tensor
 
 # Import sync_to_async from Django Channels
 from asgiref.sync import sync_to_async
@@ -31,6 +27,7 @@ from database.models import (
     GithubRepoConfig,
     Conversation,
     ChatModelOptions,
+    SearchModelConfig,
     Subscription,
     UserConversationConfig,
     OpenAIProcessorConversationConfig,
@@ -41,15 +38,6 @@ from khoj.search_filter.word_filter import WordFilter
 from khoj.search_filter.file_filter import FileFilter
 from khoj.search_filter.date_filter import DateFilter
 
-ModelType = TypeVar("ModelType", bound=models.Model)
-
-
-async def retrieve_object(model_class: Type[ModelType], id: int) -> ModelType:
-    instance = await model_class.objects.filter(id=id).afirst()
-    if not instance:
-        raise HTTPException(status_code=404, detail=f"{model_class.__name__} not found")
-    return instance
-
 
 async def set_notion_config(token: str, user: KhojUser):
     notion_config = await NotionConfig.objects.filter(user=user).afirst()
@@ -65,9 +53,7 @@ async def create_khoj_token(user: KhojUser, name=None):
     "Create Khoj API key for user"
     token = f"kk-{secrets.token_urlsafe(32)}"
     name = name or f"{generate_random_name().title()}"
-    api_config = await KhojApiUser.objects.acreate(token=token, user=user, name=name)
-    await api_config.asave()
-    return api_config
+    return await KhojApiUser.objects.acreate(token=token, user=user, name=name)
 
 
 def get_khoj_tokens(user: KhojUser):
@@ -83,13 +69,16 @@ async def delete_khoj_token(user: KhojUser, token: str):
 async def get_or_create_user(token: dict) -> KhojUser:
     user = await get_user_by_token(token)
     if not user:
-        user = await create_google_user(token)
+        user = await create_user_by_google_token(token)
     return user
 
 
-async def create_google_user(token: dict) -> KhojUser:
-    user = await KhojUser.objects.acreate(username=token.get("email"), email=token.get("email"))
+async def create_user_by_google_token(token: dict) -> KhojUser:
+    user, _ = await KhojUser.objects.filter(email=token.get("email")).aupdate_or_create(
+        defaults={"username": token.get("email"), "email": token.get("email")}
+    )
     await user.asave()
+
     await GoogleUser.objects.acreate(
         sub=token.get("sub"),
         azp=token.get("azp"),
@@ -220,6 +209,14 @@ async def set_user_github_config(user: KhojUser, pat_token: str, repos: list):
     return config
 
 
+def get_or_create_search_model():
+    search_model = SearchModelConfig.objects.filter().first()
+    if not search_model:
+        search_model = SearchModelConfig.objects.create()
+
+    return search_model
+
+
 class ConversationAdapters:
     @staticmethod
     def get_conversation_by_user(user: KhojUser):

src/database/admin.py

@@ -8,6 +8,7 @@ from database.models import (
     ChatModelOptions,
     OpenAIProcessorConversationConfig,
     OfflineChatProcessorConversationConfig,
+    SearchModelConfig,
     Subscription,
 )
 
@@ -16,4 +17,5 @@ admin.site.register(KhojUser, UserAdmin)
 admin.site.register(ChatModelOptions)
 admin.site.register(OpenAIProcessorConversationConfig)
 admin.site.register(OfflineChatProcessorConversationConfig)
+admin.site.register(SearchModelConfig)
 admin.site.register(Subscription)

src/database/migrations/0017_searchmodel.py

@@ -0,0 +1,32 @@
+# Generated by Django 4.2.5 on 2023-11-14 23:25
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("database", "0016_alter_subscription_renewal_date"),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name="SearchModel",
+            fields=[
+                ("id", models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name="ID")),
+                ("created_at", models.DateTimeField(auto_now_add=True)),
+                ("updated_at", models.DateTimeField(auto_now=True)),
+                ("name", models.CharField(default="default", max_length=200)),
+                ("model_type", models.CharField(choices=[("text", "Text")], default="text", max_length=200)),
+                ("bi_encoder", models.CharField(default="thenlper/gte-small", max_length=200)),
+                (
+                    "cross_encoder",
+                    models.CharField(
+                        blank=True, default="cross-encoder/ms-marco-MiniLM-L-6-v2", max_length=200, null=True
+                    ),
+                ),
+            ],
+            options={
+                "abstract": False,
+            },
+        ),
+    ]

src/database/migrations/0018_searchmodelconfig_delete_searchmodel.py

@@ -0,0 +1,30 @@
+# Generated by Django 4.2.5 on 2023-11-16 01:13
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ("database", "0017_searchmodel"),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name="SearchModelConfig",
+            fields=[
+                ("id", models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name="ID")),
+                ("created_at", models.DateTimeField(auto_now_add=True)),
+                ("updated_at", models.DateTimeField(auto_now=True)),
+                ("name", models.CharField(default="default", max_length=200)),
+                ("model_type", models.CharField(choices=[("text", "Text")], default="text", max_length=200)),
+                ("bi_encoder", models.CharField(default="thenlper/gte-small", max_length=200)),
+                ("cross_encoder", models.CharField(default="cross-encoder/ms-marco-MiniLM-L-6-v2", max_length=200)),
+            ],
+            options={
+                "abstract": False,
+            },
+        ),
+        migrations.DeleteModel(
+            name="SearchModel",
+        ),
+    ]

src/database/models/__init__.py

@@ -102,6 +102,16 @@ class LocalPlaintextConfig(BaseModel):
     user = models.ForeignKey(KhojUser, on_delete=models.CASCADE)
 
 
+class SearchModelConfig(BaseModel):
+    class ModelType(models.TextChoices):
+        TEXT = "text"
+
+    name = models.CharField(max_length=200, default="default")
+    model_type = models.CharField(max_length=200, choices=ModelType.choices, default=ModelType.TEXT)
+    bi_encoder = models.CharField(max_length=200, default="thenlper/gte-small")
+    cross_encoder = models.CharField(max_length=200, default="cross-encoder/ms-marco-MiniLM-L-6-v2")
+
+
 class OpenAIProcessorConversationConfig(BaseModel):
     api_key = models.CharField(max_length=200)
 

src/interface/desktop/chat.html

@@ -328,7 +328,15 @@
                 .then(data => {
                     if (data.detail) {
                         // If the server returns a 500 error with detail, render a setup hint.
-                        renderMessage("Hi 👋🏾, to get started you have two options:<ol><li><b>Use OpenAI</b>: <ol><li>Get your <a class='inline-chat-link' href='https://platform.openai.com/account/api-keys'>OpenAI API key</a></li><li>Save it in the Khoj <a class='inline-chat-link' href='/config/processor/conversation/openai'>chat settings</a></li><li>Click Configure on the Khoj <a class='inline-chat-link' href='/config'>settings page</a></li></ol></li><li><b>Enable offline chat</b>: <ol><li>Go to the Khoj <a class='inline-chat-link' href='/config'>settings page</a> and enable offline chat</li></ol></li></ol>", "khoj");
+                        first_run_message = `Hi 👋🏾, to get started:
+                        <ol>
+                            <li>Generate an API token in the <a class='inline-chat-link' href="#" onclick="window.navigateAPI.navigateToWebSettings()">Khoj Web settings</a></li>
+                            <li>Paste it into the API Key field in the <a class='inline-chat-link' href="#" onclick="window.navigateAPI.navigateToSettings()">Khoj Desktop settings</a></li>
+                        </ol>`
+                        .trim()
+                        .replace(/(\r\n|\n|\r)/gm, "");
+
+                        renderMessage(first_run_message, "khoj");
 
                         // Disable chat input field and update placeholder text
                         document.getElementById("chat-input").setAttribute("disabled", "disabled");

src/interface/desktop/main.js

@@ -396,6 +396,14 @@ app.whenReady().then(() => {
         event.reply('update-state', arg);
     });
 
+    ipcMain.on('navigate', (event, page) => {
+        win.loadFile(page);
+    });
+
+    ipcMain.on('navigateToWebApp', (event, page) => {
+        shell.openExternal(`${store.get('hostURL')}/${page}`);
+    });
+
     ipcMain.handle('getFiles', getFiles);
     ipcMain.handle('getFolders', getFolders);
 

src/interface/desktop/package.json

@@ -10,14 +10,14 @@
   "main": "main.js",
   "private": false,
   "devDependencies": {
-    "electron": "25.8.1"
+    "electron": "25.8.4"
   },
   "scripts": {
     "start": "yarn electron ."
   },
   "dependencies": {
     "@todesktop/runtime": "^1.3.0",
-    "axios": "^1.5.0",
+    "axios": "^1.6.0",
     "cron": "^2.4.3",
     "electron-store": "^8.1.0",
     "fs": "^0.0.1-security"

src/interface/desktop/preload.js

@@ -57,3 +57,8 @@ contextBridge.exposeInMainWorld('tokenAPI', {
 contextBridge.exposeInMainWorld('appInfoAPI', {
     getInfo: (callback) => ipcRenderer.on('appInfo', callback)
 })
+
+contextBridge.exposeInMainWorld('navigateAPI', {
+  navigateToSettings: () => ipcRenderer.send('navigate', 'config.html'),
+  navigateToWebSettings: () => ipcRenderer.send('navigateToWebApp', 'config'),
+})

src/interface/desktop/yarn.lock

@@ -163,10 +163,10 @@ atomically@^1.7.0:
   resolved "https://registry.yarnpkg.com/atomically/-/atomically-1.7.0.tgz#c07a0458432ea6dbc9a3506fffa424b48bccaafe"
   integrity sha512-Xcz9l0z7y9yQ9rdDaxlmaI4uJHf/T8g9hOEzJcsEqX2SjCj4J20uK7+ldkDHMbpJDK76wF7xEIgxc/vSlsfw5w==
 
-axios@^1.5.0:
-  version "1.5.0"
-  resolved "https://registry.yarnpkg.com/axios/-/axios-1.5.0.tgz#f02e4af823e2e46a9768cfc74691fdd0517ea267"
-  integrity sha512-D4DdjDo5CY50Qms0qGQTTw6Q44jl7zRwY7bthds06pUGfChBCTcQs+N743eFWGEd6pRTMd6A+I87aWyFV5wiZQ==
+axios@^1.6.0:
+  version "1.6.2"
+  resolved "https://registry.yarnpkg.com/axios/-/axios-1.6.2.tgz#de67d42c755b571d3e698df1b6504cde9b0ee9f2"
+  integrity sha512-7i24Ri4pmDRfJTR7LDBhsOTtcm+9kjX5WiY1X3wIisx6G9So3pfMkEiU7emUBe46oceVImccTEM3k6C5dbVW8A==
   dependencies:
     follow-redirects "^1.15.0"
     form-data "^4.0.0"
@@ -379,10 +379,10 @@ electron-updater@^4.6.1:
     lodash.isequal "^4.5.0"
     semver "^7.3.5"
 
-electron@25.8.1:
-  version "25.8.1"
-  resolved "https://registry.yarnpkg.com/electron/-/electron-25.8.1.tgz#092fab5a833db4d9240d4d6f36218cf7ca954f86"
-  integrity sha512-GtcP1nMrROZfFg0+mhyj1hamrHvukfF6of2B/pcWxmWkd5FVY1NJib0tlhiorFZRzQN5Z+APLPr7aMolt7i2AQ==
+electron@25.8.4:
+  version "25.8.4"
+  resolved "https://registry.yarnpkg.com/electron/-/electron-25.8.4.tgz#b50877aac7d96323920437baf309ad86382cb455"
+  integrity sha512-hUYS3RGdaa6E1UWnzeGnsdsBYOggwMMg4WGxNGvAoWtmRrr6J1BsjFW/yRq4WsJHJce2HdzQXtz4OGXV6yUCLg==
   dependencies:
     "@electron/get" "^2.0.0"
     "@types/node" "^18.11.18"

src/khoj/configure.py

@@ -3,7 +3,6 @@ import logging
 import json
 from enum import Enum
 from typing import Optional
-from fastapi import Request
 import requests
 import os
 
@@ -21,15 +20,16 @@ from starlette.authentication import (
 )
 
 # Internal Packages
+from database.models import KhojUser, Subscription
+from database.adapters import get_all_users, get_or_create_search_model
+from khoj.processor.embeddings import CrossEncoderModel, EmbeddingsModel
+from khoj.routers.indexer import configure_content, load_content, configure_search
 from khoj.utils import constants, state
 from khoj.utils.config import (
     SearchType,
 )
 from khoj.utils.fs_syncer import collect_files
 from khoj.utils.rawconfig import FullConfig
-from khoj.routers.indexer import configure_content, load_content, configure_search
-from database.models import KhojUser, Subscription
-from database.adapters import get_all_users
 
 
 logger = logging.getLogger(__name__)
@@ -113,14 +113,13 @@ def configure_server(
 
     # Initialize Search Models from Config and initialize content
     try:
-        state.config_lock.acquire()
-        state.SearchType = configure_search_types(state.config)
+        state.embeddings_model = EmbeddingsModel(get_or_create_search_model().bi_encoder)
+        state.cross_encoder_model = CrossEncoderModel(get_or_create_search_model().cross_encoder)
+        state.SearchType = configure_search_types()
         state.search_models = configure_search(state.search_models, state.config.search_type)
         initialize_content(regenerate, search_type, init, user)
     except Exception as e:
         raise e
-    finally:
-        state.config_lock.release()
 
 
 def initialize_content(regenerate: bool, search_type: Optional[SearchType] = None, init=False, user: KhojUser = None):
@@ -192,7 +191,7 @@ def update_search_index():
         logger.error(f"🚨 Error updating content index via Scheduler: {e}", exc_info=True)
 
 
-def configure_search_types(config: FullConfig):
+def configure_search_types():
     # Extract core search types
     core_search_types = {e.name: e.value for e in SearchType}
 

src/khoj/interface/web/chat.html

@@ -327,7 +327,7 @@ To get started, just start typing below. You can also type / to see a list of co
                 .then(data => {
                     if (data.detail) {
                         // If the server returns a 500 error with detail, render a setup hint.
-                        renderMessage("Hi 👋🏾, to get started you have two options:<ol><li><b>Use OpenAI</b>: <ol><li>Get your <a class='inline-chat-link' href='https://platform.openai.com/account/api-keys'>OpenAI API key</a></li><li>Save it in the Khoj <a class='inline-chat-link' href='/config/processor/conversation/openai'>chat settings</a></li><li>Click Configure on the Khoj <a class='inline-chat-link' href='/config'>settings page</a></li></ol></li><li><b>Enable offline chat</b>: <ol><li>Go to the Khoj <a class='inline-chat-link' href='/config'>settings page</a> and enable offline chat</li></ol></li></ol>", "khoj");
+                        renderMessage("Hi 👋🏾, to start chatting add available chat models options via <a class='inline-chat-link' href='/server/admin'>the Django Admin panel</a> on the Server", "khoj");
 
                         // Disable chat input field and update placeholder text
                         document.getElementById("chat-input").setAttribute("disabled", "disabled");

src/khoj/migrations/migrate_server_pg.py

@@ -30,7 +30,7 @@ search-type:
     encoder: sentence-transformers/all-MiniLM-L6-v2
     encoder-type: null
     model-directory: ~/.khoj/search/symmetric
-version: 0.12.4
+version: 0.14.0
 
 
 The new version will looks like this:
@@ -53,11 +53,7 @@ search-type:
   asymmetric:
     cross-encoder: cross-encoder/ms-marco-MiniLM-L-6-v2
     encoder: sentence-transformers/multi-qa-MiniLM-L6-cos-v1
-  image:
-    encoder: sentence-transformers/clip-ViT-B-32
-    encoder-type: null
-    model-directory: /Users/si/.khoj/search/image
-version: 0.12.4
+version: 0.15.0
 """
 
 import logging
@@ -68,6 +64,7 @@ from database.models import (
     OpenAIProcessorConversationConfig,
     OfflineChatProcessorConversationConfig,
     ChatModelOptions,
+    SearchModelConfig,
 )
 
 logger = logging.getLogger(__name__)
@@ -87,6 +84,19 @@ def migrate_server_pg(args):
         if raw_config is None:
             return args
 
+        if "search-type" in raw_config and raw_config["search-type"]:
+            if "asymmetric" in raw_config["search-type"]:
+                # Delete all existing search models
+                SearchModelConfig.objects.filter(model_type=SearchModelConfig.ModelType.TEXT).delete()
+                # Create new search model from existing Khoj YAML config
+                asymmetric_search = raw_config["search-type"]["asymmetric"]
+                SearchModelConfig.objects.create(
+                    name="default",
+                    model_type=SearchModelConfig.ModelType.TEXT,
+                    bi_encoder=asymmetric_search.get("encoder"),
+                    cross_encoder=asymmetric_search.get("cross-encoder"),
+                )
+
         if "processor" in raw_config and raw_config["processor"] and "conversation" in raw_config["processor"]:
             processor_conversation = raw_config["processor"]["conversation"]
 

src/khoj/processor/embeddings.py

@@ -1,16 +1,17 @@
 from typing import List
 
 from sentence_transformers import SentenceTransformer, CrossEncoder
+from torch import nn
 
 from khoj.utils.helpers import get_device
 from khoj.utils.rawconfig import SearchResponse
 
 
 class EmbeddingsModel:
-    def __init__(self):
+    def __init__(self, model_name: str = "thenlper/gte-small"):
         self.encode_kwargs = {"normalize_embeddings": True}
         self.model_kwargs = {"device": get_device()}
-        self.model_name = "thenlper/gte-small"
+        self.model_name = model_name
         self.embeddings_model = SentenceTransformer(self.model_name, **self.model_kwargs)
 
     def embed_query(self, query):
@@ -21,11 +22,11 @@ class EmbeddingsModel:
 
 
 class CrossEncoderModel:
-    def __init__(self):
-        self.model_name = "cross-encoder/ms-marco-MiniLM-L-6-v2"
+    def __init__(self, model_name: str = "cross-encoder/ms-marco-MiniLM-L-6-v2"):
+        self.model_name = model_name
         self.cross_encoder_model = CrossEncoder(model_name=self.model_name, device=get_device())
 
-    def predict(self, query, hits: List[SearchResponse]):
-        cross__inp = [[query, hit.additional["compiled"]] for hit in hits]
-        cross_scores = self.cross_encoder_model.predict(cross__inp, apply_softmax=True)
+    def predict(self, query, hits: List[SearchResponse], key: str = "compiled"):
+        cross_inp = [[query, hit.additional[key]] for hit in hits]
+        cross_scores = self.cross_encoder_model.predict(cross_inp, activation_fct=nn.Sigmoid())
         return cross_scores

src/khoj/processor/text_to_entries.py

@@ -6,12 +6,12 @@ import logging
 import uuid
 from tqdm import tqdm
 from typing import Callable, List, Tuple, Set, Any
+from khoj.utils import state
 from khoj.utils.helpers import is_none_or_empty, timer, batcher
 
 
 # Internal Packages
 from khoj.utils.rawconfig import Entry
-from khoj.processor.embeddings import EmbeddingsModel
 from khoj.search_filter.date_filter import DateFilter
 from database.models import KhojUser, Entry as DbEntry, EntryDates
 from database.adapters import EntryAdapters
@@ -22,7 +22,7 @@ logger = logging.getLogger(__name__)
 
 class TextToEntries(ABC):
     def __init__(self, config: Any = None):
-        self.embeddings_model = EmbeddingsModel()
+        self.embeddings_model = state.embeddings_model
         self.config = config
         self.date_filter = DateFilter()
 

src/khoj/routers/api.py

@@ -376,7 +376,7 @@ async def search(
     # initialize variables
     user_query = q.strip()
     results_count = n or 5
-    max_distance = max_distance if max_distance is not None else math.inf
+    max_distance = max_distance or math.inf
     search_futures: List[concurrent.futures.Future] = []
 
     # return cached results, if available
@@ -581,7 +581,7 @@ async def chat(
     request: Request,
     q: str,
     n: Optional[int] = 5,
-    d: Optional[float] = 0.15,
+    d: Optional[float] = 0.18,
     client: Optional[str] = None,
     stream: Optional[bool] = False,
     user_agent: Optional[str] = Header(None),

src/khoj/routers/auth.py

@@ -16,6 +16,7 @@ from google.auth.transport import requests as google_requests
 
 # Internal Packages
 from database.adapters import get_khoj_tokens, get_or_create_user, create_khoj_token, delete_khoj_token
+from database.models import KhojApiUser
 from khoj.routers.helpers import update_telemetry_state
 from khoj.utils import state
 
@@ -51,12 +52,16 @@ async def login(request: Request):
 
 @auth_router.post("/token")
 @requires(["authenticated"], redirect="login_page")
-async def generate_token(request: Request, token_name: Optional[str] = None) -> str:
+async def generate_token(request: Request, token_name: Optional[str] = None):
     "Generate API token for given user"
     if token_name:
-        return await create_khoj_token(user=request.user.object, name=token_name)
+        token = await create_khoj_token(user=request.user.object, name=token_name)
     else:
-        return await create_khoj_token(user=request.user.object)
+        token = await create_khoj_token(user=request.user.object)
+    return {
+        "token": token.token,
+        "name": token.name,
+    }
 
 
 @auth_router.get("/token")

src/khoj/search_type/text_search.py

@@ -2,7 +2,7 @@
 import logging
 import math
 from pathlib import Path
-from typing import List, Tuple, Type, Union, Dict
+from typing import List, Tuple, Type, Union
 
 # External Packages
 import torch

src/khoj/utils/state.py

@@ -5,21 +5,20 @@ from typing import List, Dict
 from collections import defaultdict
 
 # External Packages
-import torch
 from pathlib import Path
+from khoj.processor.embeddings import CrossEncoderModel, EmbeddingsModel
 
 # Internal Packages
 from khoj.utils import config as utils_config
 from khoj.utils.config import ContentIndex, SearchModels, GPT4AllProcessorModel
 from khoj.utils.helpers import LRU, get_device
 from khoj.utils.rawconfig import FullConfig
-from khoj.processor.embeddings import EmbeddingsModel, CrossEncoderModel
 
 # Application Global State
 config = FullConfig()
 search_models = SearchModels()
-embeddings_model = EmbeddingsModel()
-cross_encoder_model = CrossEncoderModel()
+embeddings_model: EmbeddingsModel = None
+cross_encoder_model: CrossEncoderModel = None
 content_index = ContentIndex()
 gpt4all_processor_config: GPT4AllProcessorModel = None
 config_file: Path = None
@@ -28,7 +27,6 @@ host: str = None
 port: int = None
 cli_args: List[str] = None
 query_cache: Dict[str, LRU] = defaultdict(LRU)
-config_lock = threading.Lock()
 chat_lock = threading.Lock()
 SearchType = utils_config.SearchType
 telemetry: List[Dict[str, str]] = []

tests/conftest.py

@@ -8,11 +8,13 @@ from fastapi import FastAPI
 import os
 from fastapi import FastAPI
 
+
 app = FastAPI()
 
 
 # Internal Packages
 from khoj.configure import configure_routes, configure_search_types, configure_middleware
+from khoj.processor.embeddings import CrossEncoderModel, EmbeddingsModel
 from khoj.processor.plaintext.plaintext_to_entries import PlaintextToEntries
 from khoj.search_type import image_search, text_search
 from khoj.utils.config import SearchModels
@@ -54,6 +56,9 @@ def enable_db_access_for_all_tests(db):
 
 @pytest.fixture(scope="session")
 def search_config() -> SearchConfig:
+    state.embeddings_model = EmbeddingsModel()
+    state.cross_encoder_model = CrossEncoderModel()
+
     model_dir = resolve_absolute_path("~/.khoj/search")
     model_dir.mkdir(parents=True, exist_ok=True)
     search_config = SearchConfig()
@@ -222,7 +227,7 @@ def md_content_config():
 def chat_client(search_config: SearchConfig, default_user2: KhojUser):
     # Initialize app state
     state.config.search_type = search_config
-    state.SearchType = configure_search_types(state.config)
+    state.SearchType = configure_search_types()
 
     LocalMarkdownConfig.objects.create(
         input_files=None,
@@ -256,7 +261,7 @@ def chat_client(search_config: SearchConfig, default_user2: KhojUser):
 def chat_client_no_background(search_config: SearchConfig, default_user2: KhojUser):
     # Initialize app state
     state.config.search_type = search_config
-    state.SearchType = configure_search_types(state.config)
+    state.SearchType = configure_search_types()
 
     # Initialize Processor from Config
     if os.getenv("OPENAI_API_KEY"):
@@ -291,7 +296,9 @@ def client(
 ):
     state.config.content_type = content_config
     state.config.search_type = search_config
-    state.SearchType = configure_search_types(state.config)
+    state.SearchType = configure_search_types()
+    state.embeddings_model = EmbeddingsModel()
+    state.cross_encoder_model = CrossEncoderModel()
 
     # These lines help us Mock the Search models for these search types
     state.search_models.image_search = image_search.initialize_model(search_config.image)
@@ -323,7 +330,7 @@ def client(
 def client_offline_chat(search_config: SearchConfig, default_user2: KhojUser):
     # Initialize app state
     state.config.search_type = search_config
-    state.SearchType = configure_search_types(state.config)
+    state.SearchType = configure_search_types()
 
     LocalMarkdownConfig.objects.create(
         input_files=None,

tests/helpers.py

@@ -7,6 +7,7 @@ from database.models import (
     ChatModelOptions,
     OfflineChatProcessorConversationConfig,
     OpenAIProcessorConversationConfig,
+    SearchModelConfig,
     UserConversationConfig,
     Conversation,
     Subscription,
@@ -71,6 +72,16 @@ class ConversationFactory(factory.django.DjangoModelFactory):
     user = factory.SubFactory(UserFactory)
 
 
+class SearchModelFactory(factory.django.DjangoModelFactory):
+    class Meta:
+        model = SearchModelConfig
+
+    name = "default"
+    model_type = "text"
+    bi_encoder = "thenlper/gte-small"
+    cross_encoder = "cross-encoder/ms-marco-MiniLM-L-6-v2"
+
+
 class SubscriptionFactory(factory.django.DjangoModelFactory):
     class Meta:
         model = Subscription

tests/test_client.py

@@ -173,7 +173,6 @@ def test_regenerate_with_github_fails_without_pat(client):
 
 # ----------------------------------------------------------------------------------------------------
 @pytest.mark.django_db
-@pytest.mark.skip(reason="Flaky test on parallel test runs")
 def test_get_configured_types_via_api(client, sample_org_data):
     # Act
     text_search.setup(OrgToEntries, sample_org_data, regenerate=False)
@@ -203,10 +202,10 @@ def test_get_api_config_types(client, sample_org_data, default_user: KhojUser):
 @pytest.mark.django_db(transaction=True)
 def test_get_configured_types_with_no_content_config(fastapi_app: FastAPI):
     # Arrange
-    state.SearchType = configure_search_types(config)
-    original_config = state.config.content_type
-    state.config.content_type = None
     state.anonymous_mode = True
+    if state.config and state.config.content_type:
+        state.config.content_type = None
+    state.search_models = configure_search_types()
 
     configure_routes(fastapi_app)
     client = TestClient(fastapi_app)
@@ -218,9 +217,6 @@ def test_get_configured_types_with_no_content_config(fastapi_app: FastAPI):
     assert response.status_code == 200
     assert response.json() == ["all"]
 
-    # Restore
-    state.config.content_type = original_config
-
 
 # ----------------------------------------------------------------------------------------------------
 @pytest.mark.django_db(transaction=True)
@@ -259,13 +255,30 @@ def test_notes_search(client, search_config: SearchConfig, sample_org_data, defa
     user_query = quote("How to git install application?")
 
     # Act
-    response = client.get(f"/api/search?q={user_query}&n=1&t=org&r=true", headers=headers)
+    response = client.get(f"/api/search?q={user_query}&n=1&t=org&r=true&max_distance=0.18", headers=headers)
 
     # Assert
     assert response.status_code == 200
-    # assert actual_data contains "Khoj via Emacs" entry
+
+    assert len(response.json()) == 1, "Expected only 1 result"
     search_result = response.json()[0]["entry"]
-    assert "git clone https://github.com/khoj-ai/khoj" in search_result
+    assert "git clone https://github.com/khoj-ai/khoj" in search_result, "Expected 'git clone' in search result"
+
+
+# ----------------------------------------------------------------------------------------------------
+@pytest.mark.django_db(transaction=True)
+def test_notes_search_no_results(client, search_config: SearchConfig, sample_org_data, default_user: KhojUser):
+    # Arrange
+    headers = {"Authorization": "Bearer kk-secret"}
+    text_search.setup(OrgToEntries, sample_org_data, regenerate=False, user=default_user)
+    user_query = quote("How to find my goat?")
+
+    # Act
+    response = client.get(f"/api/search?q={user_query}&n=1&t=org&r=true&max_distance=0.18", headers=headers)
+
+    # Assert
+    assert response.status_code == 200
+    assert response.json() == [], "Expected no results"
 
 
 # ----------------------------------------------------------------------------------------------------