Merge branch 'feat/execution-stats' of github.com:invoke-ai/InvokeAI into feat/execution-stats

README.md

@@ -184,8 +184,9 @@ the command `npm install -g yarn` if needed)
 6. Configure InvokeAI and install a starting set of image generation models (you only need to do this once):
 
     ```terminal
-    invokeai-configure
+    invokeai-configure --root .
     ```
+	Don't miss the dot at the end!
 
 7. Launch the web server (do it every time you run InvokeAI):
 
@@ -193,15 +194,9 @@ the command `npm install -g yarn` if needed)
     invokeai-web
     ```
 
-8. Build Node.js assets
+8. Point your browser to http://localhost:9090 to bring up the web interface.
 
-  ```terminal
+9. Type `banana sushi` in the box on the top left and click `Invoke`.
-  cd invokeai/frontend/web/
-  yarn vite build
-  ```
-
-9. Point your browser to http://localhost:9090 to bring up the web interface.
-10. Type `banana sushi` in the box on the top left and click `Invoke`.
 
 Be sure to activate the virtual environment each time before re-launching InvokeAI,
 using `source .venv/bin/activate` or `.venv\Scripts\activate`.

docs/installation/020_INSTALL_MANUAL.md

@@ -192,9 +192,11 @@ manager, please follow these steps:
     your outputs.
 
     ```terminal
-    invokeai-configure
+    invokeai-configure --root .
     ```
 	
+	Don't miss the dot at the end of the command!
+
     The script `invokeai-configure` will interactively guide you through the
     process of downloading and installing the weights files needed for InvokeAI.
     Note that the main Stable Diffusion weights file is protected by a license
@@ -225,12 +227,6 @@ manager, please follow these steps:
 
         !!! warning "Make sure that the virtual environment is activated, which should create `(.venv)` in front of your prompt!"
 
-        === "CLI"
-
-            ```bash
-            invokeai
-            ```
-
         === "local Webserver"
 
             ```bash
@@ -243,6 +239,12 @@ manager, please follow these steps:
             invokeai --web --host 0.0.0.0
             ```
 
+        === "CLI"
+
+            ```bash
+            invokeai
+            ```
+
         If you choose the run the web interface, point your browser at
         http://localhost:9090 in order to load the GUI.
 

invokeai/app/services/config.py

@@ -274,7 +274,7 @@ class InvokeAISettings(BaseSettings):
     @classmethod
     def _excluded(self) -> List[str]:
         # internal fields that shouldn't be exposed as command line options
-        return ["type", "initconf", "cached_root"]
+        return ["type", "initconf"]
 
     @classmethod
     def _excluded_from_yaml(self) -> List[str]:
@@ -290,7 +290,6 @@ class InvokeAISettings(BaseSettings):
             "restore",
             "root",
             "nsfw_checker",
-            "cached_root",
         ]
 
     class Config:
@@ -356,7 +355,7 @@ class InvokeAISettings(BaseSettings):
 def _find_root() -> Path:
     venv = Path(os.environ.get("VIRTUAL_ENV") or ".")
     if os.environ.get("INVOKEAI_ROOT"):
-        root = Path(os.environ.get("INVOKEAI_ROOT")).resolve()
+        root = Path(os.environ["INVOKEAI_ROOT"])
     elif any([(venv.parent / x).exists() for x in [INIT_FILE, LEGACY_INIT_FILE]]):
         root = (venv.parent).resolve()
     else:
@@ -403,7 +402,7 @@ class InvokeAIAppConfig(InvokeAISettings):
     xformers_enabled    : bool = Field(default=True, description="Enable/disable memory-efficient attention", category='Memory/Performance')
     tiled_decode        : bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty)", category='Memory/Performance')
 
-    root                : Path = Field(default=_find_root(), description='InvokeAI runtime root directory', category='Paths')
+    root                : Path = Field(default=None, description='InvokeAI runtime root directory', category='Paths')
     autoimport_dir      : Path = Field(default='autoimport', description='Path to a directory of models files to be imported on startup.', category='Paths')
     lora_dir            : Path = Field(default=None, description='Path to a directory of LoRA/LyCORIS models to be imported on startup.', category='Paths')
     embedding_dir       : Path = Field(default=None, description='Path to a directory of Textual Inversion embeddings to be imported on startup.', category='Paths')
@@ -424,7 +423,6 @@ class InvokeAIAppConfig(InvokeAISettings):
     log_level           : Literal[tuple(["debug","info","warning","error","critical"])] = Field(default="info", description="Emit logging messages at this level or  higher", category="Logging")
 
     version             : bool = Field(default=False, description="Show InvokeAI version and exit", category="Other")
-    cached_root         : Path = Field(default=None,  description="internal use only", category="DEPRECATED")
     # fmt: on
 
     def parse_args(self, argv: List[str] = None, conf: DictConfig = None, clobber=False):
@@ -472,15 +470,12 @@ class InvokeAIAppConfig(InvokeAISettings):
         """
         Path to the runtime root directory
         """
-        # we cache value of root to protect against it being '.' and the cwd changing
+        if self.root:
-        if self.cached_root:
-            root = self.cached_root
-        elif self.root:
             root = Path(self.root).expanduser().absolute()
         else:
-            root = self.find_root()
+            root = self.find_root().expanduser().absolute()
-        self.cached_root = root
+        self.root = root  # insulate ourselves from relative paths that may change
-        return self.cached_root
+        return root
 
     @property
     def root_dir(self) -> Path:

invokeai/frontend/web/src/services/events/middleware.ts

@@ -13,7 +13,8 @@ import { socketSubscribed, socketUnsubscribed } from './actions';
 export const socketMiddleware = () => {
   let areListenersSet = false;
 
-  let socketUrl = `ws://${window.location.host}`;
+  const wsProtocol = window.location.protocol === 'https:' ? 'wss' : 'ws';
+  let socketUrl = `${wsProtocol}://${window.location.host}`;
 
   const socketOptions: Parameters<typeof io>[0] = {
     timeout: 60000,

tests/test_config.py

@@ -84,6 +84,21 @@ def test_env_override():
     assert conf.max_cache_size == 20
 
 
+def test_root_resists_cwd():
+    previous = os.environ["INVOKEAI_ROOT"]
+    cwd = Path(os.getcwd()).resolve()
+
+    os.environ["INVOKEAI_ROOT"] = "."
+    conf = InvokeAIAppConfig.get_config()
+    conf.parse_args([])
+    assert conf.root_path == cwd
+
+    os.chdir("..")
+    assert conf.root_path == cwd
+    os.environ["INVOKEAI_ROOT"] = previous
+    os.chdir(cwd)
+
+
 def test_type_coercion():
     conf = InvokeAIAppConfig().get_config()
     conf.parse_args(argv=["--root=/tmp/foobar"])