Vito Sansevero
2c12f38da9
Compare the Images side panel and the viewer's full details with the concept (1600x1100 and 390x844, both themes): structure, tokens, geometry and controls, plus copy, the acknowledged pair send, the tag chip filter and Prompt history. mapInspectorConcept applies only D3, D20, D21 and D22; a mutation test shows the comparison notices a changed role label and a removed footer. The comparison showed the role copy and send names lacked the concept's ": <title>" subject, so the inspector now passes its title to the prompt blocks. It also showed that a recipe-linked image shows its recipe's own category and tags (#224), which the concept fixture's recipes lack; that is recorded as D38, and the fixture's new positive_links option links the compared image to its positive alone.
457 lines
18 KiB
Python
457 lines
18 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_concept_fixture import (
|
|
MAX_EXTRA_IMAGES as CONCEPT_MAX_EXTRA_IMAGES,
|
|
MAX_SEEDLESS_IMAGES as CONCEPT_MAX_SEEDLESS_IMAGES,
|
|
MAX_POSITIVE_LINKS as CONCEPT_MAX_POSITIVE_LINKS,
|
|
seed_workspace_concept,
|
|
)
|
|
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,
|
|
)
|
|
from tests.browser.workspace_library_editor_fixture import (
|
|
register_library_editor_commands,
|
|
)
|
|
from tests.browser.workspace_vocabulary_fixture import register_vocabulary_commands
|
|
|
|
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)
|
|
library_editor_commands = register_library_editor_commands(routes, api, root)
|
|
register_vocabulary_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_favorites",
|
|
"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
|
|
library_editor_commands.reset()
|
|
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__/concept/reset")
|
|
async def concept_reset(request: web.Request) -> web.Response:
|
|
"""Seed the concept-shaped fixture (D30); only a bounded image count."""
|
|
nonlocal history_fixture
|
|
data = await request.json() if request.can_read_body else {}
|
|
limits = {
|
|
"extra_images": CONCEPT_MAX_EXTRA_IMAGES,
|
|
"seedless_images": CONCEPT_MAX_SEEDLESS_IMAGES,
|
|
"positive_links": CONCEPT_MAX_POSITIVE_LINKS,
|
|
}
|
|
if (
|
|
request.query
|
|
or not isinstance(data, dict)
|
|
or set(data) - set(limits)
|
|
or any(
|
|
isinstance(data.get(key, 0), bool)
|
|
or not isinstance(data.get(key, 0), int)
|
|
or not 0 <= data.get(key, 0) <= limit
|
|
for key, limit in limits.items()
|
|
)
|
|
):
|
|
raise web.HTTPBadRequest()
|
|
history_commands.reset()
|
|
library_editor_commands.reset()
|
|
history_fixture = None
|
|
manifest = await api._run_in_executor(
|
|
lambda: seed_workspace_concept(
|
|
api,
|
|
root,
|
|
extra_images=data.get("extra_images", 0),
|
|
seedless_images=data.get("seedless_images", 0),
|
|
positive_links=data.get("positive_links", 0),
|
|
)
|
|
)
|
|
return web.json_response({"success": True, **manifest})
|
|
|
|
@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()
|