407 lines
16 KiB
Python
407 lines
16 KiB
Python
"""Serve production pages and API routes with disposable state for browser tests."""
|
|
|
|
import argparse
|
|
import json
|
|
import os
|
|
import shutil
|
|
from pathlib import Path
|
|
import sys
|
|
import tempfile
|
|
import time
|
|
import types
|
|
|
|
from aiohttp import web
|
|
from PIL import Image
|
|
from PIL.PngImagePlugin import PngInfo
|
|
|
|
from tests.browser.workspace_visual_fixture import seed_workspace_visual
|
|
from tests.browser.workspace_inspector_fixture import seed_workspace_inspector
|
|
from tests.browser.workspace_history_fixture import (
|
|
capture_workspace_history_zero_outputs,
|
|
register_workspace_history_commands,
|
|
seed_workspace_history,
|
|
)
|
|
|
|
CANONICAL_ROOT = Path(__file__).resolve().parents[2]
|
|
CANONICAL_ASSETS = {
|
|
"/__test__/canonical/workspace": (
|
|
"docs/concepts/workspace/index.html",
|
|
"text/html",
|
|
),
|
|
"/workspace/app.js": ("docs/concepts/workspace/app.js", "text/javascript"),
|
|
"/workspace/style.css": ("docs/concepts/workspace/style.css", "text/css"),
|
|
"/toolkit/core.js": ("web/js/shared/toolkit/core.js", "text/javascript"),
|
|
"/toolkit/controls.css": ("web/js/shared/toolkit/controls.css", "text/css"),
|
|
"/vendor/viewer.js": ("web/lib/viewerjs/viewer.min.js", "text/javascript"),
|
|
"/vendor/viewer.css": ("web/lib/viewerjs/viewer.min.css", "text/css"),
|
|
}
|
|
|
|
|
|
class TestModel:
|
|
default_prompt = "Describe the image"
|
|
wd14_general_threshold = 0.35
|
|
wd14_character_threshold = 0.85
|
|
custom_prompt = ""
|
|
loaded = None
|
|
|
|
def get_models_status(self) -> dict:
|
|
return {
|
|
name: {"downloaded": True, "loaded": self.loaded == name}
|
|
for name in ("gguf", "wd14-vit", "wd14-convnext", "wd14-swinv2")
|
|
}
|
|
|
|
def is_model_loaded(self) -> bool:
|
|
return self.loaded is not None
|
|
|
|
def get_loaded_model_type(self) -> str | None:
|
|
return self.loaded
|
|
|
|
def load_model(self, model_type: str, use_gpu: bool = True) -> bool:
|
|
self.loaded = model_type
|
|
return True
|
|
|
|
def unload_model(self) -> None:
|
|
self.loaded = None
|
|
|
|
def generate_tags(self, image_path: str, **kwargs: object) -> list[str]:
|
|
return ["generated", Path(image_path).parent.parent.name]
|
|
|
|
|
|
def create_app(root: Path) -> web.Application:
|
|
os.environ["PROMPT_MANAGER_CONFIG_PATH"] = str(root / "config.json")
|
|
os.chdir(root)
|
|
app = web.Application()
|
|
routes = web.RouteTableDef()
|
|
server = types.ModuleType("server")
|
|
server.PromptServer = types.SimpleNamespace(
|
|
instance=types.SimpleNamespace(app=app, routes=routes)
|
|
)
|
|
sys.modules["server"] = server
|
|
folder_paths = types.ModuleType("folder_paths")
|
|
folder_paths.base_path = str(root)
|
|
folder_paths.models_dir = str(root / "models")
|
|
for name in ("output", "input", "temp", "user"):
|
|
directory = root / name
|
|
directory.mkdir()
|
|
setattr(folder_paths, f"get_{name}_directory", lambda path=directory: str(path))
|
|
sys.modules["folder_paths"] = folder_paths
|
|
|
|
from py.config import GalleryConfig, PromptManagerConfig
|
|
|
|
PromptManagerConfig.DEFAULT_DB_PATH = str(root / "browser.db")
|
|
GalleryConfig.MONITORING_DIRECTORIES = [str(root / "output"), str(root / "input")]
|
|
|
|
from py.api import PromptManagerAPI
|
|
from py import autotag
|
|
from utils.hashing import generate_prompt_hash
|
|
|
|
model = TestModel()
|
|
autotag.get_autotag_service = lambda: model
|
|
api = PromptManagerAPI()
|
|
api.add_routes(routes)
|
|
history_commands = register_workspace_history_commands(routes, api, root)
|
|
|
|
async def canonical_asset(request: web.Request) -> web.Response:
|
|
filename, content_type = CANONICAL_ASSETS[request.path]
|
|
return web.Response(
|
|
body=(CANONICAL_ROOT / filename).read_bytes(),
|
|
content_type=content_type,
|
|
headers={"Cache-Control": "no-store", "X-Content-Type-Options": "nosniff"},
|
|
)
|
|
|
|
for path in CANONICAL_ASSETS:
|
|
routes.get(path)(canonical_asset)
|
|
|
|
def seed(
|
|
extra_images: int = 0,
|
|
include_video: bool = False,
|
|
prompt_inspector: bool = False,
|
|
native_library: bool = False,
|
|
extra_prompts: int = 0,
|
|
extra_variants: int = 0,
|
|
) -> None:
|
|
with api.db.model.get_connection() as conn:
|
|
for table in (
|
|
"image_prompt_pairs",
|
|
"prompt_pair_tags",
|
|
"prompt_pairs",
|
|
"generated_images",
|
|
"prompt_tags",
|
|
"tags",
|
|
"prompts",
|
|
):
|
|
conn.execute(f"DELETE FROM {table}")
|
|
for name in ("output", "input"):
|
|
shutil.rmtree(root / name)
|
|
(root / name).mkdir()
|
|
for index, (directory, text, tag) in enumerate(
|
|
[
|
|
("output", "Cat portrait", "cats"),
|
|
(
|
|
"input",
|
|
"Cat portrait" if native_library else "Dog landscape",
|
|
"dogs",
|
|
),
|
|
]
|
|
):
|
|
image_path = root / directory / "shared" / "same.png"
|
|
image_path.parent.mkdir(exist_ok=True)
|
|
info = PngInfo()
|
|
info.add_text(
|
|
"prompt",
|
|
json.dumps(
|
|
{"1": {"class_type": "CLIPTextEncode", "inputs": {"text": text}}}
|
|
),
|
|
)
|
|
with Image.new("RGB", (64, 64), (index * 255, 64, 128)) as image:
|
|
image.save(image_path, pnginfo=info)
|
|
if prompt_inspector or native_library:
|
|
graph = {
|
|
"1": {"class_type": "CLIPTextEncode", "inputs": {"text": text}},
|
|
"2": {
|
|
"class_type": "CLIPTextEncode",
|
|
"inputs": {
|
|
"text": "blurry, watermark" if index == 0 else "low quality"
|
|
},
|
|
},
|
|
"3": {
|
|
"class_type": "KSampler",
|
|
"inputs": {"positive": ["1", 0], "negative": ["2", 0]},
|
|
},
|
|
"4": {"class_type": "SaveImage", "inputs": {"images": ["3", 0]}},
|
|
}
|
|
info = PngInfo()
|
|
info.add_text("prompt", json.dumps(graph))
|
|
with Image.new("RGB", (64, 64), (index * 255, 64, 128)) as image:
|
|
image.save(image_path, pnginfo=info)
|
|
stamp = time.time() - index * 10
|
|
os.utime(image_path, (stamp, stamp))
|
|
pid = api.db.save_prompt(
|
|
text, tags=[tag], prompt_hash=generate_prompt_hash(text)
|
|
)
|
|
api.db.link_image_to_prompt(pid, str(image_path))
|
|
if index == 0:
|
|
video_prompt_id = pid
|
|
for number in range(extra_images):
|
|
extra = root / directory / "bulk" / f"{number:04}.png"
|
|
extra.parent.mkdir(exist_ok=True)
|
|
shutil.copyfile(image_path, extra)
|
|
api.db.link_image_to_prompt(pid, str(extra))
|
|
if native_library:
|
|
positive = api.db.get_prompt_by_hash(generate_prompt_hash("Cat portrait"))
|
|
positive_id = positive["id"]
|
|
api.db.update_prompt_metadata(
|
|
positive_id, category="Animals", tags=["cats", "studio"]
|
|
)
|
|
variants = []
|
|
for index, negative in enumerate(
|
|
["blurry, watermark", "low quality", "low contrast", ""]
|
|
):
|
|
pair_id = api.db.save_prompt_pair(
|
|
"Cat portrait",
|
|
negative,
|
|
title=f"Portrait variant {index + 1}",
|
|
category="Portraits" if index == 0 else "Experiments",
|
|
tags=["studio"] if index == 0 else ["outdoors"],
|
|
)
|
|
variants.append(pair_id)
|
|
with api.db.model.get_connection() as conn:
|
|
images = conn.execute(
|
|
"SELECT id FROM generated_images WHERE prompt_id=? ORDER BY id",
|
|
(positive_id,),
|
|
).fetchall()
|
|
for index, image in enumerate(images[:2]):
|
|
api.db.link_image_to_pair(
|
|
variants[index], image["id"], {"source": "fixture", "anchor": index}
|
|
)
|
|
api.db.link_image_to_pair(
|
|
variants[0], images[0]["id"], {"source": "fixture second evidence"}
|
|
)
|
|
api.db.record_prompt_pair_use(variants[0], times=3)
|
|
for number in range(extra_variants):
|
|
api.db.save_prompt_pair("Cat portrait", f"Negative extra {number:04}")
|
|
legacy = root / "output" / "legacy-unassigned.png"
|
|
shutil.copyfile(root / "output" / "shared" / "same.png", legacy)
|
|
api.db.link_image_to_prompt(positive_id, str(legacy))
|
|
api.db.save_prompt("Dog landscape", category="Animals", tags=["dogs"])
|
|
api.db.save_prompt_pair("Dual role portrait", "Cat portrait")
|
|
for number in range(extra_prompts):
|
|
api.db.save_prompt(
|
|
f"Library extra {number:04}", category="Bulk", tags=["bulk"]
|
|
)
|
|
if prompt_inspector:
|
|
for name, parameters in (
|
|
(
|
|
"empty-negative.png",
|
|
"Explicit empty negative\nNegative prompt: \n"
|
|
"Steps: 20, Sampler: Euler",
|
|
),
|
|
("uncertain.png", None),
|
|
):
|
|
info = PngInfo()
|
|
if parameters:
|
|
info.add_text("parameters", parameters)
|
|
with Image.new("RGB", (64, 64), (100, 80, 120)) as image:
|
|
image.save(root / "output" / name, pnginfo=info)
|
|
os.utime(root / "output" / name, (time.time() - 100, time.time() - 100))
|
|
api._generate_gallery_thumbnails_sync(api._get_all_output_dirs(), (150, 150))
|
|
if include_video:
|
|
# Seed after thumbnail generation to exercise a real unthumbnailed video.
|
|
video = root / "output" / "clip.webm"
|
|
shutil.copyfile(
|
|
Path(__file__).resolve().parents[1] / "fixtures" / "tiny.webm", video
|
|
)
|
|
api.db.link_image_to_prompt(video_prompt_id, str(video))
|
|
api.invalidate_gallery_cache()
|
|
|
|
history_fixture = None
|
|
|
|
@routes.post("/__test__/history/capture-zero-outputs")
|
|
async def capture_history_outputs(request: web.Request) -> web.Response:
|
|
data = await request.json() if request.can_read_body else None
|
|
if (
|
|
not isinstance(data, dict)
|
|
or set(data) != {"run_id"}
|
|
or history_fixture is None
|
|
or data["run_id"] not in history_fixture["runs"].values()
|
|
):
|
|
raise web.HTTPBadRequest()
|
|
captured = await api._run_in_executor(
|
|
capture_workspace_history_zero_outputs, api, data["run_id"]
|
|
)
|
|
return web.json_response({"success": captured})
|
|
|
|
@routes.post("/__test__/reset")
|
|
async def reset(request: web.Request) -> web.Response:
|
|
nonlocal history_fixture
|
|
data = await request.json() if request.can_read_body else {}
|
|
if not isinstance(data, dict):
|
|
raise web.HTTPBadRequest()
|
|
chronological_history = data.get("chronological_history", False)
|
|
history_runs = data.get("history_runs", 0)
|
|
if (
|
|
not isinstance(chronological_history, bool)
|
|
or isinstance(history_runs, bool)
|
|
or not isinstance(history_runs, int)
|
|
or not 0 <= history_runs <= 1200
|
|
or (not chronological_history and "history_runs" in data)
|
|
or (
|
|
chronological_history
|
|
and set(data) - {"chronological_history", "history_runs"}
|
|
)
|
|
):
|
|
raise web.HTTPBadRequest()
|
|
if chronological_history:
|
|
manifest = await api._run_in_executor(
|
|
lambda: seed_workspace_history(api, root, history_runs=history_runs)
|
|
)
|
|
history_fixture = manifest
|
|
return web.json_response({"success": True, **manifest})
|
|
history_commands.reset()
|
|
workspace_visual = data.get("workspace_visual", False)
|
|
full_inspector = data.get("full_inspector", False)
|
|
extra = data.get("extra_images", 0)
|
|
include_video = data.get("include_video", False)
|
|
prompt_inspector = data.get("prompt_inspector", False)
|
|
native_library = data.get("native_library", False)
|
|
extra_prompts = data.get("extra_prompts", 0)
|
|
extra_variants = data.get("extra_variants", 0)
|
|
if (
|
|
not isinstance(workspace_visual, bool)
|
|
or not isinstance(full_inspector, bool)
|
|
or (
|
|
full_inspector
|
|
and (
|
|
workspace_visual
|
|
or prompt_inspector
|
|
or native_library
|
|
or extra_prompts != 0
|
|
or extra_variants != 0
|
|
)
|
|
)
|
|
or (
|
|
workspace_visual
|
|
and any(
|
|
key in data
|
|
for key in (
|
|
"extra_images",
|
|
"include_video",
|
|
"prompt_inspector",
|
|
"native_library",
|
|
"extra_prompts",
|
|
"extra_variants",
|
|
"full_inspector",
|
|
)
|
|
)
|
|
)
|
|
or isinstance(extra, bool)
|
|
or not isinstance(extra, int)
|
|
or not 0 <= extra <= 200
|
|
or not isinstance(include_video, bool)
|
|
or not isinstance(prompt_inspector, bool)
|
|
or not isinstance(native_library, bool)
|
|
or isinstance(extra_prompts, bool)
|
|
or not isinstance(extra_prompts, int)
|
|
or not 0 <= extra_prompts <= 200
|
|
or isinstance(extra_variants, bool)
|
|
or not isinstance(extra_variants, int)
|
|
or not 0 <= extra_variants <= 200
|
|
):
|
|
raise web.HTTPBadRequest()
|
|
if workspace_visual:
|
|
history_fixture = None
|
|
await api._run_in_executor(seed_workspace_visual, api, root)
|
|
return web.json_response({"success": True})
|
|
if full_inspector:
|
|
history_fixture = None
|
|
await api._run_in_executor(
|
|
lambda: seed_workspace_inspector(
|
|
api, root, extra_images=extra, include_video=include_video
|
|
)
|
|
)
|
|
return web.json_response({"success": True})
|
|
history_fixture = None
|
|
await api._run_in_executor(
|
|
seed,
|
|
extra,
|
|
include_video,
|
|
prompt_inspector,
|
|
native_library,
|
|
extra_prompts,
|
|
extra_variants,
|
|
)
|
|
return web.json_response({"success": True})
|
|
|
|
@routes.post("/__test__/add-nested-image")
|
|
async def add_nested_image(request: web.Request) -> web.Response:
|
|
destination = root / "output" / "project" / "day" / "new-output.png"
|
|
destination.parent.mkdir(parents=True, exist_ok=True)
|
|
shutil.copyfile(root / "output" / "shared" / "same.png", destination)
|
|
return web.json_response({"success": True})
|
|
|
|
@routes.get("/api/settings/Comfy.ColorPalette")
|
|
async def palette(request: web.Request) -> web.Response:
|
|
return web.json_response("dark")
|
|
|
|
async def cleanup(application: web.Application) -> None:
|
|
api.db.close_all()
|
|
|
|
seed()
|
|
app.on_cleanup.append(cleanup)
|
|
app.add_routes(routes)
|
|
return app
|
|
|
|
|
|
def main() -> None:
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument("--port", type=int, default=8765)
|
|
args = parser.parse_args()
|
|
with tempfile.TemporaryDirectory(prefix="pm-browser-") as directory:
|
|
web.run_app(
|
|
create_app(Path(directory).resolve()), host="127.0.0.1", port=args.port
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|