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rename print_error to report, use it with together with package name

This commit is contained in:
AUTOMATIC 2023-05-31 19:56:37 +03:00
parent d67ef01f62
commit 05933840f0
24 changed files with 69 additions and 90 deletions
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5
extensions-builtin/LDSR/scripts/ldsr_model.py
View File

@ -2,10 +2,9 @@ import os
from basicsr.utils.download_util import load_file_from_url
from modules.errors import print_error
from modules.upscaler import Upscaler, UpscalerData
from ldsr_model_arch import LDSR
from modules import shared, script_callbacks
from modules import shared, script_callbacks, errors
import sd_hijack_autoencoder # noqa: F401
import sd_hijack_ddpm_v1 # noqa: F401
@ -51,7 +50,7 @@ class UpscalerLDSR(Upscaler):
try:
return LDSR(model, yaml)
except Exception:
print_error("Error importing LDSR", exc_info=True)
errors.report("Error importing LDSR", exc_info=True)
return None
def do_upscale(self, img, path):

5
extensions-builtin/ScuNET/scripts/scunet_model.py
View File

@ -9,10 +9,9 @@ from tqdm import tqdm
from basicsr.utils.download_util import load_file_from_url
import modules.upscaler
from modules import devices, modelloader, script_callbacks
from modules import devices, modelloader, script_callbacks, errors
from scunet_model_arch import SCUNet as net
from modules.errors import print_error
from modules.shared import opts
@ -39,7 +38,7 @@ class UpscalerScuNET(modules.upscaler.Upscaler):
scaler_data = modules.upscaler.UpscalerData(name, file, self, 4)
scalers.append(scaler_data)
except Exception:
print_error(f"Error loading ScuNET model: {file}", exc_info=True)
errors.report(f"Error loading ScuNET model: {file}", exc_info=True)
if add_model2:
scaler_data2 = modules.upscaler.UpscalerData(self.model_name2, self.model_url2, self)
scalers.append(scaler_data2)

5
modules/api/api.py
View File

@ -14,9 +14,8 @@ from fastapi.encoders import jsonable_encoder
from secrets import compare_digest
import modules.shared as shared
from modules import sd_samplers, deepbooru, sd_hijack, images, scripts, ui, postprocessing
from modules import sd_samplers, deepbooru, sd_hijack, images, scripts, ui, postprocessing, errors
from modules.api import models
from modules.errors import print_error
from modules.shared import opts
from modules.processing import StableDiffusionProcessingTxt2Img, StableDiffusionProcessingImg2Img, process_images
from modules.textual_inversion.textual_inversion import create_embedding, train_embedding
@ -145,7 +144,7 @@ def api_middleware(app: FastAPI):
print(message)
console.print_exception(show_locals=True, max_frames=2, extra_lines=1, suppress=[anyio, starlette], word_wrap=False, width=min([console.width, 200]))
else:
print_error(message, exc_info=True)
errors.report(message, exc_info=True)
return JSONResponse(status_code=vars(e).get('status_code', 500), content=jsonable_encoder(err))
@app.middleware("http")

5
modules/call_queue.py
View File

@ -2,8 +2,7 @@ import html
import threading
import time
from modules import shared, progress
from modules.errors import print_error
from modules import shared, progress, errors
queue_lock = threading.Lock()
@ -62,7 +61,7 @@ def wrap_gradio_call(func, extra_outputs=None, add_stats=False):
arg_str = f"Arguments: {args} {kwargs}"[:max_debug_str_len]
if len(arg_str) > max_debug_str_len:
arg_str += f" (Argument list truncated at {max_debug_str_len}/{len(arg_str)} characters)"
print_error(f"{message}\n{arg_str}", exc_info=True)
errors.report(f"{message}\n{arg_str}", exc_info=True)
shared.state.job = ""
shared.state.job_count = 0

7
modules/codeformer_model.py
View File

@ -5,8 +5,7 @@ import torch
import modules.face_restoration
import modules.shared
from modules import shared, devices, modelloader
from modules.errors import print_error
from modules import shared, devices, modelloader, errors
from modules.paths import models_path
# codeformer people made a choice to include modified basicsr library to their project which makes
@ -105,7 +104,7 @@ def setup_model(dirname):
del output
torch.cuda.empty_cache()
except Exception:
print_error('Failed inference for CodeFormer', exc_info=True)
errors.report('Failed inference for CodeFormer', exc_info=True)
restored_face = tensor2img(cropped_face_t, rgb2bgr=True, min_max=(-1, 1))
restored_face = restored_face.astype('uint8')
@ -134,6 +133,6 @@ def setup_model(dirname):
shared.face_restorers.append(codeformer)
except Exception:
print_error("Error setting up CodeFormer", exc_info=True)
errors.report("Error setting up CodeFormer", exc_info=True)
# sys.path = stored_sys_path

9
modules/config_states.py
View File

@ -11,8 +11,7 @@ from datetime import datetime
from collections import OrderedDict
import git
from modules import shared, extensions
from modules.errors import print_error
from modules import shared, extensions, errors
from modules.paths_internal import script_path, config_states_dir
@ -52,7 +51,7 @@ def get_webui_config():
if os.path.exists(os.path.join(script_path, ".git")):
webui_repo = git.Repo(script_path)
except Exception:
print_error(f"Error reading webui git info from {script_path}", exc_info=True)
errors.report(f"Error reading webui git info from {script_path}", exc_info=True)
webui_remote = None
webui_commit_hash = None
@ -132,7 +131,7 @@ def restore_webui_config(config):
if os.path.exists(os.path.join(script_path, ".git")):
webui_repo = git.Repo(script_path)
except Exception:
print_error(f"Error reading webui git info from {script_path}", exc_info=True)
errors.report(f"Error reading webui git info from {script_path}", exc_info=True)
return
try:
@ -140,7 +139,7 @@ def restore_webui_config(config):
webui_repo.git.reset(webui_commit_hash, hard=True)
print(f"* Restored webui to commit {webui_commit_hash}.")
except Exception:
print_error(f"Error restoring webui to commit{webui_commit_hash}")
errors.report(f"Error restoring webui to commit{webui_commit_hash}")
def restore_extension_config(config):

8
modules/errors.py
View File

@ -3,11 +3,7 @@ import textwrap
import traceback
def print_error(
message: str,
*,
exc_info: bool = False,
) -> None:
def report(message: str, *, exc_info: bool = False) -> None:
"""
Print an error message to stderr, with optional traceback.
"""
@ -15,7 +11,7 @@ def print_error(
print("***", line, file=sys.stderr)
if exc_info:
print(textwrap.indent(traceback.format_exc(), " "), file=sys.stderr)
print("---")
print("---", file=sys.stderr)
def print_error_explanation(message):

7
modules/extensions.py
View File

@ -1,8 +1,7 @@
import os
import threading
from modules import shared
from modules.errors import print_error
from modules import shared, errors
from modules.gitpython_hack import Repo
from modules.paths_internal import extensions_dir, extensions_builtin_dir, script_path # noqa: F401
@ -54,7 +53,7 @@ class Extension:
if os.path.exists(os.path.join(self.path, ".git")):
repo = Repo(self.path)
except Exception:
print_error(f"Error reading github repository info from {self.path}", exc_info=True)
errors.report(f"Error reading github repository info from {self.path}", exc_info=True)
if repo is None or repo.bare:
self.remote = None
@ -70,7 +69,7 @@ class Extension:
self.version = self.commit_hash[:8]
except Exception:
print_error(f"Failed reading extension data from Git repository ({self.name})", exc_info=True)
errors.report(f"Failed reading extension data from Git repository ({self.name})", exc_info=True)
self.remote = None
self.have_info_from_repo = True

5
modules/gfpgan_model.py
View File

@ -4,8 +4,7 @@ import facexlib
import gfpgan
import modules.face_restoration
from modules import paths, shared, devices, modelloader
from modules.errors import print_error
from modules import paths, shared, devices, modelloader, errors
model_dir = "GFPGAN"
user_path = None
@ -111,4 +110,4 @@ def setup_model(dirname):
shared.face_restorers.append(FaceRestorerGFPGAN())
except Exception:
print_error("Error setting up GFPGAN", exc_info=True)
errors.report("Error setting up GFPGAN", exc_info=True)

7
modules/hypernetworks/hypernetwork.py
View File

@ -9,8 +9,7 @@ import torch
import tqdm
from einops import rearrange, repeat
from ldm.util import default
from modules import devices, processing, sd_models, shared, sd_samplers, hashes, sd_hijack_checkpoint
from modules.errors import print_error
from modules import devices, processing, sd_models, shared, sd_samplers, hashes, sd_hijack_checkpoint, errors
from modules.textual_inversion import textual_inversion, logging
from modules.textual_inversion.learn_schedule import LearnRateScheduler
from torch import einsum
@ -329,7 +328,7 @@ def load_hypernetwork(name):
hypernetwork.load(path)
return hypernetwork
except Exception:
print_error(f"Error loading hypernetwork {path}", exc_info=True)
errors.report(f"Error loading hypernetwork {path}", exc_info=True)
return None
@ -766,7 +765,7 @@ Last saved image: {html.escape(last_saved_image)}<br/>
</p>
"""
except Exception:
print_error("Exception in training hypernetwork", exc_info=True)
errors.report("Exception in training hypernetwork", exc_info=True)
finally:
pbar.leave = False
pbar.close()

5
modules/images.py
View File

@ -16,7 +16,6 @@ import json
import hashlib
from modules import sd_samplers, shared, script_callbacks, errors
from modules.errors import print_error
from modules.paths_internal import roboto_ttf_file
from modules.shared import opts
@ -463,7 +462,7 @@ class FilenameGenerator:
replacement = fun(self, *pattern_args)
except Exception:
replacement = None
print_error(f"Error adding [{pattern}] to filename", exc_info=True)
errors.report(f"Error adding [{pattern}] to filename", exc_info=True)
if replacement == NOTHING_AND_SKIP_PREVIOUS_TEXT:
continue
@ -698,7 +697,7 @@ def read_info_from_image(image):
Negative prompt: {json_info["uc"]}
Steps: {json_info["steps"]}, Sampler: {sampler}, CFG scale: {json_info["scale"]}, Seed: {json_info["seed"]}, Size: {image.width}x{image.height}, Clip skip: 2, ENSD: 31337"""
except Exception:
print_error("Error parsing NovelAI image generation parameters", exc_info=True)
errors.report("Error parsing NovelAI image generation parameters", exc_info=True)
return geninfo, items

3
modules/interrogate.py
View File

@ -11,7 +11,6 @@ from torchvision import transforms
from torchvision.transforms.functional import InterpolationMode
from modules import devices, paths, shared, lowvram, modelloader, errors
from modules.errors import print_error
blip_image_eval_size = 384
clip_model_name = 'ViT-L/14'
@ -216,7 +215,7 @@ class InterrogateModels:
res += f", {match}"
except Exception:
print_error("Error interrogating", exc_info=True)
errors.report("Error interrogating", exc_info=True)
res += "<error>"
self.unload()

7
modules/launch_utils.py
View File

@ -7,8 +7,7 @@ import platform
import json
from functools import lru_cache
from modules import cmd_args
from modules.errors import print_error
from modules import cmd_args, errors
from modules.paths_internal import script_path, extensions_dir
args, _ = cmd_args.parser.parse_known_args()
@ -189,7 +188,7 @@ def run_extension_installer(extension_dir):
print(run(f'"{python}" "{path_installer}"', errdesc=f"Error running install.py for extension {extension_dir}", custom_env=env))
except Exception as e:
print_error(str(e))
errors.report(str(e))
def list_extensions(settings_file):
@ -200,7 +199,7 @@ def list_extensions(settings_file):
with open(settings_file, "r", encoding="utf8") as file:
settings = json.load(file)
except Exception:
print_error("Could not load settings", exc_info=True)
errors.report("Could not load settings", exc_info=True)
disabled_extensions = set(settings.get('disabled_extensions', []))
disable_all_extensions = settings.get('disable_all_extensions', 'none')

4
modules/localization.py
View File

@ -1,7 +1,7 @@
import json
import os
from modules.errors import print_error
from modules import errors
localizations = {}
@ -30,6 +30,6 @@ def localization_js(current_localization_name: str) -> str:
with open(fn, "r", encoding="utf8") as file:
data = json.load(file)
except Exception:
print_error(f"Error loading localization from {fn}", exc_info=True)
errors.report(f"Error loading localization from {fn}", exc_info=True)
return f"window.localization = {json.dumps(data)}"

10
modules/realesrgan_model.py
View File

@ -5,10 +5,10 @@ from PIL import Image
from basicsr.utils.download_util import load_file_from_url
from realesrgan import RealESRGANer
from modules.errors import print_error
from modules.upscaler import Upscaler, UpscalerData
from modules.shared import cmd_opts, opts
from modules import modelloader
from modules import modelloader, errors
class UpscalerRealESRGAN(Upscaler):
def __init__(self, path):
@ -35,7 +35,7 @@ class UpscalerRealESRGAN(Upscaler):
self.scalers.append(scaler)
except Exception:
print_error("Error importing Real-ESRGAN", exc_info=True)
errors.report("Error importing Real-ESRGAN", exc_info=True)
self.enable = False
self.scalers = []
@ -75,7 +75,7 @@ class UpscalerRealESRGAN(Upscaler):
return info
except Exception:
print_error("Error making Real-ESRGAN models list", exc_info=True)
errors.report("Error making Real-ESRGAN models list", exc_info=True)
return None
def load_models(self, _):
@ -132,4 +132,4 @@ def get_realesrgan_models(scaler):
]
return models
except Exception:
print_error("Error making Real-ESRGAN models list", exc_info=True)
errors.report("Error making Real-ESRGAN models list", exc_info=True)

7
modules/safe.py
View File

@ -9,9 +9,10 @@ import _codecs
import zipfile
import re
from modules.errors import print_error
# PyTorch 1.13 and later have _TypedStorage renamed to TypedStorage
from modules import errors
TypedStorage = torch.storage.TypedStorage if hasattr(torch.storage, 'TypedStorage') else torch.storage._TypedStorage
def encode(*args):
@ -136,7 +137,7 @@ def load_with_extra(filename, extra_handler=None, *args, **kwargs):
check_pt(filename, extra_handler)
except pickle.UnpicklingError:
print_error(
errors.report(
f"Error verifying pickled file from {filename}\n"
"-----> !!!! The file is most likely corrupted !!!! <-----\n"
"You can skip this check with --disable-safe-unpickle commandline argument, but that is not going to help you.\n\n",
@ -144,7 +145,7 @@ def load_with_extra(filename, extra_handler=None, *args, **kwargs):
)
return None
except Exception:
print_error(
errors.report(
f"Error verifying pickled file from {filename}\n"
f"The file may be malicious, so the program is not going to read it.\n"
f"You can skip this check with --disable-safe-unpickle commandline argument.\n\n",

4
modules/script_callbacks.py
View File

@ -5,11 +5,11 @@ from typing import Optional, Dict, Any
from fastapi import FastAPI
from gradio import Blocks
from modules.errors import print_error
from modules import errors
def report_exception(c, job):
print_error(f"Error executing callback {job} for {c.script}", exc_info=True)
errors.report(f"Error executing callback {job} for {c.script}", exc_info=True)
class ImageSaveParams:

4
modules/script_loading.py
View File

@ -1,7 +1,7 @@
import os
import importlib.util
from modules.errors import print_error
from modules import errors
def load_module(path):
@ -27,4 +27,4 @@ def preload_extensions(extensions_dir, parser):
module.preload(parser)
except Exception:
print_error(f"Error running preload() for {preload_script}", exc_info=True)
errors.report(f"Error running preload() for {preload_script}", exc_info=True)

23
modules/scripts.py
View File

@ -5,8 +5,7 @@ from collections import namedtuple
import gradio as gr
from modules import shared, paths, script_callbacks, extensions, script_loading, scripts_postprocessing
from modules.errors import print_error
from modules import shared, paths, script_callbacks, extensions, script_loading, scripts_postprocessing, errors
AlwaysVisible = object()
@ -264,7 +263,7 @@ def load_scripts():
register_scripts_from_module(script_module)
except Exception:
print_error(f"Error loading script: {scriptfile.filename}", exc_info=True)
errors.report(f"Error loading script: {scriptfile.filename}", exc_info=True)
finally:
sys.path = syspath
@ -281,7 +280,7 @@ def wrap_call(func, filename, funcname, *args, default=None, **kwargs):
try:
return func(*args, **kwargs)
except Exception:
print_error(f"Error calling: {filename}/{funcname}", exc_info=True)
errors.report(f"Error calling: {filename}/{funcname}", exc_info=True)
return default
@ -447,7 +446,7 @@ class ScriptRunner:
script_args = p.script_args[script.args_from:script.args_to]
script.process(p, *script_args)
except Exception:
print_error(f"Error running process: {script.filename}", exc_info=True)
errors.report(f"Error running process: {script.filename}", exc_info=True)
def before_process_batch(self, p, **kwargs):
for script in self.alwayson_scripts:
@ -455,7 +454,7 @@ class ScriptRunner:
script_args = p.script_args[script.args_from:script.args_to]
script.before_process_batch(p, *script_args, **kwargs)
except Exception:
print_error(f"Error running before_process_batch: {script.filename}", exc_info=True)
errors.report(f"Error running before_process_batch: {script.filename}", exc_info=True)
def process_batch(self, p, **kwargs):
for script in self.alwayson_scripts:
@ -463,7 +462,7 @@ class ScriptRunner:
script_args = p.script_args[script.args_from:script.args_to]
script.process_batch(p, *script_args, **kwargs)
except Exception:
print_error(f"Error running process_batch: {script.filename}", exc_info=True)
errors.report(f"Error running process_batch: {script.filename}", exc_info=True)
def postprocess(self, p, processed):
for script in self.alwayson_scripts:
@ -471,7 +470,7 @@ class ScriptRunner:
script_args = p.script_args[script.args_from:script.args_to]
script.postprocess(p, processed, *script_args)
except Exception:
print_error(f"Error running postprocess: {script.filename}", exc_info=True)
errors.report(f"Error running postprocess: {script.filename}", exc_info=True)
def postprocess_batch(self, p, images, **kwargs):
for script in self.alwayson_scripts:
@ -479,7 +478,7 @@ class ScriptRunner:
script_args = p.script_args[script.args_from:script.args_to]
script.postprocess_batch(p, *script_args, images=images, **kwargs)
except Exception:
print_error(f"Error running postprocess_batch: {script.filename}", exc_info=True)
errors.report(f"Error running postprocess_batch: {script.filename}", exc_info=True)
def postprocess_image(self, p, pp: PostprocessImageArgs):
for script in self.alwayson_scripts:
@ -487,21 +486,21 @@ class ScriptRunner:
script_args = p.script_args[script.args_from:script.args_to]
script.postprocess_image(p, pp, *script_args)
except Exception:
print_error(f"Error running postprocess_image: {script.filename}", exc_info=True)
errors.report(f"Error running postprocess_image: {script.filename}", exc_info=True)
def before_component(self, component, **kwargs):
for script in self.scripts:
try:
script.before_component(component, **kwargs)
except Exception:
print_error(f"Error running before_component: {script.filename}", exc_info=True)
errors.report(f"Error running before_component: {script.filename}", exc_info=True)
def after_component(self, component, **kwargs):
for script in self.scripts:
try:
script.after_component(component, **kwargs)
except Exception:
print_error(f"Error running after_component: {script.filename}", exc_info=True)
errors.report(f"Error running after_component: {script.filename}", exc_info=True)
def reload_sources(self, cache):
for si, script in list(enumerate(self.scripts)):

3
modules/sd_hijack_optimizations.py
View File

@ -9,7 +9,6 @@ from ldm.util import default
from einops import rearrange
from modules import shared, errors, devices, sub_quadratic_attention
from modules.errors import print_error
from modules.hypernetworks import hypernetwork
import ldm.modules.attention
@ -139,7 +138,7 @@ if shared.cmd_opts.xformers or shared.cmd_opts.force_enable_xformers:
import xformers.ops
shared.xformers_available = True
except Exception:
print_error("Cannot import xformers", exc_info=True)
errors.report("Cannot import xformers", exc_info=True)
def get_available_vram():

7
modules/textual_inversion/textual_inversion.py
View File

@ -12,9 +12,8 @@ import numpy as np
from PIL import Image, PngImagePlugin
from torch.utils.tensorboard import SummaryWriter
from modules import shared, devices, sd_hijack, processing, sd_models, images, sd_samplers, sd_hijack_checkpoint
from modules import shared, devices, sd_hijack, processing, sd_models, images, sd_samplers, sd_hijack_checkpoint, errors
import modules.textual_inversion.dataset
from modules.errors import print_error
from modules.textual_inversion.learn_schedule import LearnRateScheduler
from modules.textual_inversion.image_embedding import embedding_to_b64, embedding_from_b64, insert_image_data_embed, extract_image_data_embed, caption_image_overlay
@ -219,7 +218,7 @@ class EmbeddingDatabase:
self.load_from_file(fullfn, fn)
except Exception:
print_error(f"Error loading embedding {fn}", exc_info=True)
errors.report(f"Error loading embedding {fn}", exc_info=True)
continue
def load_textual_inversion_embeddings(self, force_reload=False):
@ -643,7 +642,7 @@ Last saved image: {html.escape(last_saved_image)}<br/>
filename = os.path.join(shared.cmd_opts.embeddings_dir, f'{embedding_name}.pt')
save_embedding(embedding, optimizer, checkpoint, embedding_name, filename, remove_cached_checksum=True)
except Exception:
print_error("Error training embedding", exc_info=True)
errors.report("Error training embedding", exc_info=True)
finally:
pbar.leave = False
pbar.close()

7
modules/ui.py
View File

@ -12,8 +12,7 @@ import numpy as np
from PIL import Image, PngImagePlugin # noqa: F401
from modules.call_queue import wrap_gradio_gpu_call, wrap_queued_call, wrap_gradio_call
from modules import sd_hijack, sd_models, localization, script_callbacks, ui_extensions, deepbooru, sd_vae, extra_networks, ui_common, ui_postprocessing, progress, ui_loadsave
from modules.errors import print_error
from modules import sd_hijack, sd_models, localization, script_callbacks, ui_extensions, deepbooru, sd_vae, extra_networks, ui_common, ui_postprocessing, progress, ui_loadsave, errors
from modules.ui_components import FormRow, FormGroup, ToolButton, FormHTML
from modules.paths import script_path, data_path
@ -232,7 +231,7 @@ def connect_reuse_seed(seed: gr.Number, reuse_seed: gr.Button, generation_info:
except json.decoder.JSONDecodeError:
if gen_info_string:
print_error(f"Error parsing JSON generation info: {gen_info_string}")
errors.report(f"Error parsing JSON generation info: {gen_info_string}")
return [res, gr_show(False)]
@ -1752,7 +1751,7 @@ def create_ui():
try:
results = modules.extras.run_modelmerger(*args)
except Exception as e:
print_error("Error loading/saving model file", exc_info=True)
errors.report("Error loading/saving model file", exc_info=True)
modules.sd_models.list_models() # to remove the potentially missing models from the list
return [*[gr.Dropdown.update(choices=modules.sd_models.checkpoint_tiles()) for _ in range(4)], f"Error merging checkpoints: {e}"]
return results

7
modules/ui_extensions.py
View File

@ -11,8 +11,7 @@ import html
import shutil
import errno
from modules import extensions, shared, paths, config_states
from modules.errors import print_error
from modules import extensions, shared, paths, config_states, errors
from modules.paths_internal import config_states_dir
from modules.call_queue import wrap_gradio_gpu_call
@ -45,7 +44,7 @@ def apply_and_restart(disable_list, update_list, disable_all):
try:
ext.fetch_and_reset_hard()
except Exception:
print_error(f"Error getting updates for {ext.name}", exc_info=True)
errors.report(f"Error getting updates for {ext.name}", exc_info=True)
shared.opts.disabled_extensions = disabled
shared.opts.disable_all_extensions = disable_all
@ -111,7 +110,7 @@ def check_updates(id_task, disable_list):
if 'FETCH_HEAD' not in str(e):
raise
except Exception:
print_error(f"Error checking updates for {ext.name}", exc_info=True)
errors.report(f"Error checking updates for {ext.name}", exc_info=True)
shared.state.nextjob()

5
scripts/prompts_from_file.py
View File

@ -5,8 +5,7 @@ import shlex
import modules.scripts as scripts
import gradio as gr
from modules import sd_samplers
from modules.errors import print_error
from modules import sd_samplers, errors
from modules.processing import Processed, process_images
from modules.shared import state
@ -135,7 +134,7 @@ class Script(scripts.Script):
try:
args = cmdargs(line)
except Exception:
print_error(f"Error parsing line {line} as commandline", exc_info=True)
errors.report(f"Error parsing line {line} as commandline", exc_info=True)
args = {"prompt": line}
else:
args = {"prompt": line}