Update default docker compose configuration with Khoj local mode

docker-compose.yml

@@ -10,7 +10,15 @@ services:
       POSTGRES_DB: postgres
     volumes:
       - khoj_db:/var/lib/postgresql/data/
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U postgres"]
+      interval: 30s
+      timeout: 10s
+      retries: 5
   server:
+    depends_on:
+      database:
+        condition: service_healthy
     # Use the following line to use the latest version of khoj. Otherwise, it will build from source.
     image: ghcr.io/khoj-ai/khoj:latest
     # Uncomment the following line to build from source. This will take a few minutes. Comment the next two lines out if you want to use the offiicial image.
@@ -47,9 +55,11 @@ services:
       - POSTGRES_PASSWORD=postgres
       - POSTGRES_HOST=database
       - POSTGRES_PORT=5432
-      - GOOGLE_CLIENT_SECRET=bar
-      - GOOGLE_CLIENT_ID=foo
-    command: --host="0.0.0.0" --port=42110 -vv
+      - KHOJ_DJANGO_SECRET_KEY=secret
+      - KHOJ_DEBUG=True
+      - ADMIN_EMAIL=username@example.com
+      - ADMIN_PASSWORD=password
+    command: --host="0.0.0.0" --port=42110 -vv --anonymous-mode
 
 
 volumes:

src/khoj/utils/initialization.py

@@ -1,4 +1,5 @@
 import logging
+import os
 
 from database.models import (
     KhojUser,
@@ -17,37 +18,50 @@ logger = logging.getLogger(__name__)
 
 def initialization():
     def _create_admin_user():
-        logger.info("👩‍✈️ Setting up admin user")
-        email_addr = input("Email Address: ")
-        password = input("Password: ")
+        logger.info(
+            "👩‍✈️ Setting up admin user. These credentials will allow you to configure your server at /django/admin."
+        )
+        email_addr = os.getenv("ADMIN_EMAIL") or input("Email: ")
+        password = os.getenv("ADMIN_PASSWORD") or input("Password: ")
         admin_user = KhojUser.objects.create_superuser(email=email_addr, username=email_addr, password=password)
         logger.info(f"👩‍✈️ Created admin user: {admin_user.email}")
 
     def _create_chat_configuration():
         logger.info(
-            "🗣️ Configure chat models available to your server. You can always update these at /django/admin using the credentials of your admin account"
+            "🗣️  Configure chat models available to your server. You can always update these at /django/admin using the credentials of your admin account"
         )
-        use_offline_model = input("Use offline chat model? (y/n): ")
-        if use_offline_model == "y":
-            logger.info("🗣️ Setting up offline chat model")
-            OfflineChatProcessorConversationConfig.objects.create(enabled=True)
+        try:
+            # Some environments don't support interactive input. We catch the exception and return if that's the case. The admin can still configure their settings from the admin page.
+            input()
+        except EOFError:
+            return
 
-            offline_chat_model = input(
-                f"Enter the name of the offline chat model you want to use, based on the models in HuggingFace (press enter to use the default: {default_offline_chat_model}): "
-            )
-            if offline_chat_model == "":
-                ChatModelOptions.objects.create(
-                    chat_model=default_offline_chat_model, model_type=ChatModelOptions.ModelType.OFFLINE
-                )
-            else:
-                max_tokens = input("Enter the maximum number of tokens to use for the offline chat model:")
-                tokenizer = input("Enter the tokenizer to use for the offline chat model:")
-                ChatModelOptions.objects.create(
-                    chat_model=offline_chat_model,
-                    model_type=ChatModelOptions.ModelType.OFFLINE,
-                    max_prompt_size=max_tokens,
-                    tokenizer=tokenizer,
+        try:
+            import gpt4all
+
+            use_offline_model = input("Use offline chat model? (y/n): ")
+            if use_offline_model == "y":
+                logger.info("🗣️ Setting up offline chat model")
+                OfflineChatProcessorConversationConfig.objects.create(enabled=True)
+
+                offline_chat_model = input(
+                    f"Enter the name of the offline chat model you want to use, based on the models in HuggingFace (press enter to use the default: {default_offline_chat_model}): "
                 )
+                if offline_chat_model == "":
+                    ChatModelOptions.objects.create(
+                        chat_model=default_offline_chat_model, model_type=ChatModelOptions.ModelType.OFFLINE
+                    )
+                else:
+                    max_tokens = input("Enter the maximum number of tokens to use for the offline chat model:")
+                    tokenizer = input("Enter the tokenizer to use for the offline chat model:")
+                    ChatModelOptions.objects.create(
+                        chat_model=offline_chat_model,
+                        model_type=ChatModelOptions.ModelType.OFFLINE,
+                        max_prompt_size=max_tokens,
+                        tokenizer=tokenizer,
+                    )
+        except ModuleNotFoundError as e:
+            logger.warning("Offline models are not supported on this device.")
 
         use_openai_model = input("Use OpenAI chat model? (y/n): ")
 
@@ -61,7 +75,7 @@ def initialization():
                 chat_model=openai_chat_model, model_type=ChatModelOptions.ModelType.OPENAI, max_tokens=max_tokens
             )
 
-        logger.info("🗣️ Chat model configuration complete")
+        logger.info("🗣️  Chat model configuration complete")
 
     admin_user = KhojUser.objects.filter(is_staff=True).first()
     if admin_user is None: