153 lines
5.8 KiB
Python
153 lines
5.8 KiB
Python
import base64
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import io
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import time
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import gradio as gr
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from pydantic import BaseModel, Field
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from modules.shared import opts
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import modules.shared as shared
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from collections import OrderedDict
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import string
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import random
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from typing import List
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current_task = None
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pending_tasks = OrderedDict()
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finished_tasks = []
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recorded_results = []
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recorded_results_limit = 2
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def start_task(id_task):
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global current_task
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current_task = id_task
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pending_tasks.pop(id_task, None)
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def finish_task(id_task):
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global current_task
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if current_task == id_task:
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current_task = None
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finished_tasks.append(id_task)
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if len(finished_tasks) > 16:
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finished_tasks.pop(0)
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def create_task_id(task_type):
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N = 7
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res = ''.join(random.choices(string.ascii_uppercase +
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string.digits, k=N))
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return f"task({task_type}-{res})"
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def record_results(id_task, res):
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recorded_results.append((id_task, res))
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if len(recorded_results) > recorded_results_limit:
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recorded_results.pop(0)
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def add_task_to_queue(id_job):
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pending_tasks[id_job] = time.time()
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class PendingTasksResponse(BaseModel):
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size: int = Field(title="Pending task size")
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tasks: List[str] = Field(title="Pending task ids")
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class ProgressRequest(BaseModel):
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id_task: str = Field(default=None, title="Task ID", description="id of the task to get progress for")
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id_live_preview: int = Field(default=-1, title="Live preview image ID", description="id of last received last preview image")
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live_preview: bool = Field(default=True, title="Include live preview", description="boolean flag indicating whether to include the live preview image")
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class ProgressResponse(BaseModel):
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active: bool = Field(title="Whether the task is being worked on right now")
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queued: bool = Field(title="Whether the task is in queue")
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completed: bool = Field(title="Whether the task has already finished")
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progress: float = Field(default=None, title="Progress", description="The progress with a range of 0 to 1")
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eta: float = Field(default=None, title="ETA in secs")
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live_preview: str = Field(default=None, title="Live preview image", description="Current live preview; a data: uri")
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id_live_preview: int = Field(default=None, title="Live preview image ID", description="Send this together with next request to prevent receiving same image")
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textinfo: str = Field(default=None, title="Info text", description="Info text used by WebUI.")
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def setup_progress_api(app):
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app.add_api_route("/internal/pending-tasks", get_pending_tasks, methods=["GET"])
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return app.add_api_route("/internal/progress", progressapi, methods=["POST"], response_model=ProgressResponse)
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def get_pending_tasks():
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pending_tasks_ids = list(pending_tasks)
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pending_len = len(pending_tasks_ids)
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return PendingTasksResponse(size=pending_len, tasks=pending_tasks_ids)
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def progressapi(req: ProgressRequest):
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active = req.id_task == current_task
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queued = req.id_task in pending_tasks
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completed = req.id_task in finished_tasks
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if not active:
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textinfo = "Waiting..."
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if queued:
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sorted_queued = sorted(pending_tasks.keys(), key=lambda x: pending_tasks[x])
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queue_index = sorted_queued.index(req.id_task)
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textinfo = "In queue: {}/{}".format(queue_index + 1, len(sorted_queued))
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return ProgressResponse(active=active, queued=queued, completed=completed, id_live_preview=-1, textinfo=textinfo)
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progress = 0
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job_count, job_no = shared.state.job_count, shared.state.job_no
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sampling_steps, sampling_step = shared.state.sampling_steps, shared.state.sampling_step
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if job_count > 0:
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progress += job_no / job_count
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if sampling_steps > 0 and job_count > 0:
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progress += 1 / job_count * sampling_step / sampling_steps
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progress = min(progress, 1)
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elapsed_since_start = time.time() - shared.state.time_start
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predicted_duration = elapsed_since_start / progress if progress > 0 else None
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eta = predicted_duration - elapsed_since_start if predicted_duration is not None else None
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live_preview = None
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id_live_preview = req.id_live_preview
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if opts.live_previews_enable and req.live_preview:
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shared.state.set_current_image()
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if shared.state.id_live_preview != req.id_live_preview:
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image = shared.state.current_image
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if image is not None:
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buffered = io.BytesIO()
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if opts.live_previews_image_format == "png":
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# using optimize for large images takes an enormous amount of time
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if max(*image.size) <= 256:
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save_kwargs = {"optimize": True}
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else:
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save_kwargs = {"optimize": False, "compress_level": 1}
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else:
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save_kwargs = {}
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image.save(buffered, format=opts.live_previews_image_format, **save_kwargs)
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base64_image = base64.b64encode(buffered.getvalue()).decode('ascii')
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live_preview = f"data:image/{opts.live_previews_image_format};base64,{base64_image}"
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id_live_preview = shared.state.id_live_preview
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return ProgressResponse(active=active, queued=queued, completed=completed, progress=progress, eta=eta, live_preview=live_preview, id_live_preview=id_live_preview, textinfo=shared.state.textinfo)
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def restore_progress(id_task):
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while id_task == current_task or id_task in pending_tasks:
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time.sleep(0.1)
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res = next(iter([x[1] for x in recorded_results if id_task == x[0]]), None)
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if res is not None:
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return res
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return gr.update(), gr.update(), gr.update(), f"Couldn't restore progress for {id_task}: results either have been discarded or never were obtained"
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