mirror of
https://git.datalinker.icu/comfyanonymous/ComfyUI
synced 2026-08-02 09:00:03 +08:00
Merge remote-tracking branch 'origin/feat/api-nodes/api-client-v2' into feat/api-nodes/api-client-v2
# Conflicts: # comfy_api_nodes/nodes_bytedance.py # comfy_api_nodes/util/__init__.py
This commit is contained in:
Alexander Piskun
commit
c9d9d47b85
@ -409,7 +409,7 @@ class ByteDanceImageEditNode(IO.ComfyNode):
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if get_number_of_images(image) != 1:
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raise ValueError("Exactly one input image is required.")
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validate_image_aspect_ratio_range(image, (1, 3), (3, 1))
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source_url = (await upload_images_to_comfyapi(cls, image, max_images=1, mime_type="image/png",))[0]
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source_url = (await upload_images_to_comfyapi(cls, image, max_images=1, mime_type="image/png"))[0]
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payload = Image2ImageTaskCreationRequest(
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model=model,
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prompt=prompt,
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@ -1,5 +1,10 @@
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from .api_client import ApiEndpoint, sync_op_pydantic, poll_op_pydantic, sync_op, poll_op
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from .storage_helpers import (
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from .download_helpers import (
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download_url_to_bytesio,
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download_url_to_image_tensor,
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bytesio_to_image_tensor,
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)
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from .upload_helpers import (
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upload_file_to_comfyapi,
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upload_images_to_comfyapi,
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)
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@ -12,4 +17,7 @@ __all__ = [
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"sync_op_pydantic",
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"upload_file_to_comfyapi",
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"upload_images_to_comfyapi",
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"download_url_to_bytesio",
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"download_url_to_image_tensor",
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"bytesio_to_image_tensor",
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]
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25
comfy_api_nodes/util/conversions.py
Normal file
25
comfy_api_nodes/util/conversions.py
Normal file
@ -0,0 +1,25 @@
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from io import BytesIO
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import numpy as np
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from PIL import Image
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import torch
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def bytesio_to_image_tensor(image_bytesio: BytesIO, mode: str = "RGBA") -> torch.Tensor:
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"""Converts image data from BytesIO to a torch.Tensor.
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Args:
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image_bytesio: BytesIO object containing the image data.
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mode: The PIL mode to convert the image to (e.g., "RGB", "RGBA").
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Returns:
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A torch.Tensor representing the image (1, H, W, C).
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Raises:
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PIL.UnidentifiedImageError: If the image data cannot be identified.
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ValueError: If the specified mode is invalid.
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"""
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image = Image.open(image_bytesio)
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image = image.convert(mode)
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image_array = np.array(image).astype(np.float32) / 255.0
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return torch.from_numpy(image_array).unsqueeze(0)
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246
comfy_api_nodes/util/download_helpers.py
Normal file
246
comfy_api_nodes/util/download_helpers.py
Normal file
@ -0,0 +1,246 @@
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import asyncio
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import contextlib
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import logging
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import time
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import uuid
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from io import BytesIO
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from typing import Optional, Union, IO
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from pathlib import Path
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import aiohttp
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import torch
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from aiohttp.client_exceptions import ClientError, ContentTypeError
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from urllib.parse import urlparse
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from comfy_api_nodes.apis import request_logger
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from ._helpers import _is_processing_interrupted
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from .common_exceptions import ProcessingInterrupted, LocalNetworkError, ApiServerError
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from .api_client import _diagnose_connectivity
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from .conversions import bytesio_to_image_tensor
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_RETRY_STATUS = {408, 429, 500, 502, 503, 504}
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async def download_url_to_bytesio(
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url: str,
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timeout: Optional[float] = None,
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*,
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dest: Optional[Union[BytesIO, IO[bytes], str, Path]] = None,
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max_retries: int = 3,
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retry_delay: float = 1.0,
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retry_backoff: float = 2.0,
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) -> None:
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"""Stream-download a URL into memory or to a provided destination.
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Raises:
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ProcessingInterrupted, LocalNetworkError, ApiServerError, Exception (HTTP and other errors)
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"""
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attempt = 0
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delay = retry_delay
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while True:
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attempt += 1
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op_id = _generate_operation_id("GET", url, attempt)
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timeout_cfg = aiohttp.ClientTimeout(total=timeout)
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stop_evt = asyncio.Event()
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async def _monitor():
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try:
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while not stop_evt.is_set():
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if _is_processing_interrupted():
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return
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await asyncio.sleep(1.0)
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except asyncio.CancelledError:
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return
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monitor_task: Optional[asyncio.Task] = None
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sess: Optional[aiohttp.ClientSession] = None
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# Open file path if a path was provided
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is_path_sink = isinstance(dest, (str, Path))
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fhandle = None
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try:
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try:
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request_logger.log_request_response(
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operation_id=op_id,
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request_method="GET",
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request_url=url,
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)
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except Exception as e:
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logging.debug("[DEBUG] download request logging failed: %s", e)
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monitor_task = asyncio.create_task(_monitor())
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sess = aiohttp.ClientSession(timeout=timeout_cfg)
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req_task = asyncio.create_task(sess.get(url))
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done, pending = await asyncio.wait({req_task, monitor_task}, return_when=asyncio.FIRST_COMPLETED)
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# Interruption wins the race
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if monitor_task in done and req_task in pending:
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req_task.cancel()
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raise ProcessingInterrupted("Task cancelled")
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resp = await req_task
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async with resp:
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if resp.status >= 400:
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# Attempt to capture body for logging (do not log huge binaries)
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with contextlib.suppress(Exception):
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try:
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body = await resp.json()
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except (ContentTypeError, ValueError):
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text = await resp.text()
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body = text if len(text) <= 4096 else f"[text {len(text)} bytes]"
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request_logger.log_request_response(
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operation_id=op_id,
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request_method="GET",
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request_url=url,
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response_status_code=resp.status,
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response_headers=dict(resp.headers),
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response_content=body,
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error_message=f"HTTP {resp.status}",
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)
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if resp.status in _RETRY_STATUS and attempt <= max_retries:
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await _sleep_with_cancel(delay)
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delay *= retry_backoff
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continue
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raise Exception(f"Failed to download (HTTP {resp.status}).")
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# Prepare path sink if needed
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if is_path_sink:
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p = Path(str(dest))
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with contextlib.suppress(Exception):
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p.parent.mkdir(parents=True, exist_ok=True)
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fhandle = open(p, "wb")
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sink = fhandle
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else:
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sink = dest # BytesIO or file-like
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# Stream body in chunks to sink with cancellation checks
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written = 0
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last_tick = time.monotonic()
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async for chunk in resp.content.iter_chunked(1024 * 1024):
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sink.write(chunk)
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written += len(chunk)
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now = time.monotonic()
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if now - last_tick >= 1.0:
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last_tick = now
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if _is_processing_interrupted():
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raise ProcessingInterrupted("Task cancelled")
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if isinstance(dest, BytesIO):
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dest.seek(0)
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try:
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request_logger.log_request_response(
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operation_id=op_id,
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request_method="GET",
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request_url=url,
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response_status_code=resp.status,
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response_headers=dict(resp.headers),
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response_content=f"[streamed {written} bytes to dest]",
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)
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except Exception as e:
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logging.debug("[DEBUG] download response logging failed: %s", e)
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return
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except ProcessingInterrupted:
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logging.debug("Download was interrupted by user")
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raise
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except (ClientError, asyncio.TimeoutError) as e:
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if attempt <= max_retries:
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with contextlib.suppress(Exception):
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request_logger.log_request_response(
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operation_id=op_id,
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request_method="GET",
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request_url=url,
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error_message=f"{type(e).__name__}: {str(e)} (will retry)",
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)
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await _sleep_with_cancel(delay)
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delay *= retry_backoff
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continue
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diag = await _diagnose_connectivity()
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if diag.get("is_local_issue"):
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raise LocalNetworkError(
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"Unable to connect to the network. Please check your internet connection and try again."
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) from e
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raise ApiServerError("The remote service appears unreachable at this time.") from e
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finally:
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with contextlib.suppress(Exception):
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if fhandle:
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fhandle.flush()
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fhandle.close()
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stop_evt.set()
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if monitor_task:
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monitor_task.cancel()
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with contextlib.suppress(Exception):
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await monitor_task
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if sess:
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with contextlib.suppress(Exception):
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await sess.close()
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async def download_url_to_image_tensor(
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url: str,
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timeout: int = None,
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auth_kwargs: Optional[dict[str, str]] = None,
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*,
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dest: Optional[Union[BytesIO, IO[bytes], str, Path]] = None,
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mode: str = "RGBA",
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) -> torch.Tensor:
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"""
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Download image and decode to tensor. Supports streaming `dest` like util version.
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"""
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if dest is None:
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bio = await download_url_to_bytesio(url, timeout, auth_kwargs, dest=None)
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return bytesio_to_image_tensor(bio, mode=mode) # type: ignore[arg-type]
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await download_url_to_bytesio(url, timeout, auth_kwargs, dest=dest)
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if isinstance(dest, BytesIO):
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with contextlib.suppress(Exception):
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dest.seek(0)
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return bytesio_to_image_tensor(dest, mode=mode)
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if hasattr(dest, "read") and hasattr(dest, "seek"):
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try:
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with contextlib.suppress(Exception):
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dest.flush()
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dest.seek(0)
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data = dest.read()
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return bytesio_to_image_tensor(BytesIO(data), mode=mode)
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except Exception:
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pass
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if isinstance(dest, (str, Path)) or getattr(dest, "name", None):
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path_str = str(dest if isinstance(dest, (str, Path)) else getattr(dest, "name"))
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with open(path_str, "rb") as f:
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return bytesio_to_image_tensor(BytesIO(f.read()), mode=mode)
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raise ValueError(
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"Destination is not readable and no path is available to decode the image. "
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"Pass dest=None to decode from memory, or provide a readable handle / path."
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)
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def _generate_operation_id(method: str, url: str, attempt: int) -> str:
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try:
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parsed = urlparse(url)
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slug = (parsed.path.rsplit("/", 1)[-1] or parsed.netloc or "download").strip("/").replace("/", "_")
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except Exception:
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slug = "download"
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return f"{method}_{slug}_try{attempt}_{uuid.uuid4().hex[:8]}"
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async def _sleep_with_cancel(seconds: float) -> None:
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"""Sleep in 1s slices while checking for interruption."""
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end = time.monotonic() + seconds
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while True:
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if _is_processing_interrupted():
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raise ProcessingInterrupted("Task cancelled")
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now = time.monotonic()
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if now >= end:
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return
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await asyncio.sleep(min(1.0, end - now))
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272
comfy_api_nodes/util/upload_helpers.py
Normal file
272
comfy_api_nodes/util/upload_helpers.py
Normal file
@ -0,0 +1,272 @@
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import uuid
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import asyncio
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import contextlib
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from io import BytesIO
|
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import logging
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import time
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from typing import Optional, Union
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import aiohttp
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import torch
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from pydantic import BaseModel, Field
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from comfy_api.latest import IO
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from urllib.parse import urlparse
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from .api_client import (
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ApiEndpoint,
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sync_op_pydantic,
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_display_time_progress,
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_diagnose_connectivity,
|
||||
)
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from comfy_api_nodes.apis import request_logger
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from comfy_api_nodes.apinode_utils import tensor_to_bytesio
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||||
from ._helpers import _sleep_with_interrupt, _is_processing_interrupted
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from .common_exceptions import ProcessingInterrupted, LocalNetworkError, ApiServerError
|
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|
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class UploadRequest(BaseModel):
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file_name: str = Field(..., description="Filename to upload")
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content_type: Optional[str] = Field(
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||||
None,
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||||
description="Mime type of the file. For example: image/png, image/jpeg, video/mp4, etc.",
|
||||
)
|
||||
|
||||
|
||||
class UploadResponse(BaseModel):
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download_url: str = Field(..., description="URL to GET uploaded file")
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upload_url: str = Field(..., description="URL to PUT file to upload")
|
||||
|
||||
|
||||
async def upload_images_to_comfyapi(
|
||||
cls: type[IO.ComfyNode],
|
||||
image: torch.Tensor,
|
||||
*,
|
||||
max_images: int = 8,
|
||||
mime_type: Optional[str] = None,
|
||||
wait_label: Optional[str] = "Uploading",
|
||||
) -> list[str]:
|
||||
"""
|
||||
Uploads images to ComfyUI API and returns download URLs.
|
||||
To upload multiple images, stack them in the batch dimension first.
|
||||
"""
|
||||
# if batch, try to upload each file if max_images is greater than 0
|
||||
download_urls: list[str] = []
|
||||
is_batch = len(image.shape) > 3
|
||||
batch_len = image.shape[0] if is_batch else 1
|
||||
|
||||
for idx in range(min(batch_len, max_images)):
|
||||
tensor = image[idx] if is_batch else image
|
||||
img_io = tensor_to_bytesio(tensor, mime_type=mime_type)
|
||||
url = await upload_file_to_comfyapi(cls, img_io, img_io.name, mime_type, wait_label)
|
||||
download_urls.append(url)
|
||||
return download_urls
|
||||
|
||||
|
||||
async def upload_file_to_comfyapi(
|
||||
cls: type[IO.ComfyNode],
|
||||
file_bytes_io: BytesIO,
|
||||
filename: str,
|
||||
upload_mime_type: Optional[str],
|
||||
wait_label: Optional[str] = "Uploading",
|
||||
) -> str:
|
||||
"""Uploads a single file to ComfyUI API and returns its download URL."""
|
||||
if upload_mime_type is None:
|
||||
request_object = UploadRequest(file_name=filename)
|
||||
else:
|
||||
request_object = UploadRequest(file_name=filename, content_type=upload_mime_type)
|
||||
create_resp = await sync_op_pydantic(
|
||||
cls,
|
||||
endpoint=ApiEndpoint(path="/customers/storage", method="POST"),
|
||||
data=request_object,
|
||||
response_model=UploadResponse,
|
||||
final_label_on_success=None,
|
||||
monitor_progress=False,
|
||||
)
|
||||
await upload_file(
|
||||
cls, create_resp.upload_url,
|
||||
file_bytes_io,
|
||||
content_type=upload_mime_type,
|
||||
wait_label=wait_label,
|
||||
)
|
||||
return create_resp.download_url
|
||||
|
||||
|
||||
async def upload_file(
|
||||
cls: type[IO.ComfyNode],
|
||||
upload_url: str,
|
||||
file: Union[BytesIO, str],
|
||||
*,
|
||||
content_type: Optional[str] = None,
|
||||
max_retries: int = 3,
|
||||
retry_delay: float = 1.0,
|
||||
retry_backoff: float = 2.0,
|
||||
wait_label: Optional[str] = None,
|
||||
) -> None:
|
||||
"""
|
||||
Upload a file to a signed URL (e.g., S3 pre-signed PUT) with retries, Comfy progress display, and interruption.
|
||||
|
||||
Args:
|
||||
cls: Node class (provides auth context + UI progress hooks).
|
||||
upload_url: Pre-signed PUT URL.
|
||||
file: BytesIO or path string.
|
||||
content_type: Explicit MIME type. If None, we *suppress* Content-Type.
|
||||
max_retries: Maximum retry attempts.
|
||||
retry_delay: Initial delay in seconds.
|
||||
retry_backoff: Exponential backoff factor.
|
||||
wait_label: Progress label shown in Comfy UI.
|
||||
|
||||
Raises:
|
||||
ProcessingInterrupted, LocalNetworkError, ApiServerError, Exception
|
||||
"""
|
||||
if isinstance(file, BytesIO):
|
||||
with contextlib.suppress(Exception):
|
||||
file.seek(0)
|
||||
data = file.read()
|
||||
elif isinstance(file, str):
|
||||
with open(file, "rb") as f:
|
||||
data = f.read()
|
||||
else:
|
||||
raise ValueError("file must be a BytesIO or a filesystem path string")
|
||||
|
||||
headers: dict[str, str] = {}
|
||||
skip_auto_headers: set[str] = set()
|
||||
if content_type:
|
||||
headers["Content-Type"] = content_type
|
||||
else:
|
||||
skip_auto_headers.add("Content-Type") # Don't let aiohttp add Content-Type, it can break the signed request
|
||||
|
||||
attempt = 0
|
||||
delay = retry_delay
|
||||
start_ts = time.monotonic()
|
||||
op_uuid = uuid.uuid4().hex[:8]
|
||||
while True:
|
||||
attempt += 1
|
||||
operation_id = _generate_operation_id("PUT", upload_url, attempt, op_uuid)
|
||||
timeout = aiohttp.ClientTimeout(total=None)
|
||||
stop_evt = asyncio.Event()
|
||||
|
||||
async def _monitor():
|
||||
try:
|
||||
while not stop_evt.is_set():
|
||||
if _is_processing_interrupted():
|
||||
return
|
||||
if wait_label:
|
||||
_display_time_progress(cls, wait_label, int(time.monotonic() - start_ts), None)
|
||||
await asyncio.sleep(1.0)
|
||||
except asyncio.CancelledError:
|
||||
return
|
||||
|
||||
monitor_task = asyncio.create_task(_monitor())
|
||||
sess: Optional[aiohttp.ClientSession] = None
|
||||
try:
|
||||
try:
|
||||
request_logger.log_request_response(
|
||||
operation_id=operation_id,
|
||||
request_method="PUT",
|
||||
request_url=upload_url,
|
||||
request_headers=headers or None,
|
||||
request_params=None,
|
||||
request_data=f"[File data {len(data)} bytes]",
|
||||
)
|
||||
except Exception as e:
|
||||
logging.debug("[DEBUG] upload request logging failed: %s", e)
|
||||
|
||||
sess = aiohttp.ClientSession(timeout=timeout)
|
||||
req = sess.put(upload_url, data=data, headers=headers, skip_auto_headers=skip_auto_headers)
|
||||
req_task = asyncio.create_task(req)
|
||||
|
||||
done, pending = await asyncio.wait({req_task, monitor_task}, return_when=asyncio.FIRST_COMPLETED)
|
||||
|
||||
if monitor_task in done and req_task in pending:
|
||||
req_task.cancel()
|
||||
raise ProcessingInterrupted("Upload cancelled")
|
||||
|
||||
resp = await req_task
|
||||
async with resp:
|
||||
if resp.status >= 400:
|
||||
with contextlib.suppress(Exception):
|
||||
try:
|
||||
body = await resp.json()
|
||||
except Exception:
|
||||
body = await resp.text()
|
||||
msg = f"Upload failed with status {resp.status}"
|
||||
request_logger.log_request_response(
|
||||
operation_id=operation_id,
|
||||
request_method="PUT",
|
||||
request_url=upload_url,
|
||||
response_status_code=resp.status,
|
||||
response_headers=dict(resp.headers),
|
||||
response_content=body,
|
||||
error_message=msg,
|
||||
)
|
||||
if resp.status in {408, 429, 500, 502, 503, 504} and attempt <= max_retries:
|
||||
await _sleep_with_interrupt(
|
||||
delay,
|
||||
cls,
|
||||
wait_label,
|
||||
start_ts,
|
||||
None,
|
||||
display_callback=_display_time_progress if wait_label else None,
|
||||
)
|
||||
delay *= retry_backoff
|
||||
continue
|
||||
raise Exception(f"Failed to upload (HTTP {resp.status}).")
|
||||
try:
|
||||
request_logger.log_request_response(
|
||||
operation_id=operation_id,
|
||||
request_method="PUT",
|
||||
request_url=upload_url,
|
||||
response_status_code=resp.status,
|
||||
response_headers=dict(resp.headers),
|
||||
response_content="File uploaded successfully.",
|
||||
)
|
||||
except Exception as e:
|
||||
logging.debug("[DEBUG] upload response logging failed: %s", e)
|
||||
return
|
||||
except (aiohttp.ClientError, asyncio.TimeoutError) as e:
|
||||
if attempt <= max_retries:
|
||||
with contextlib.suppress(Exception):
|
||||
request_logger.log_request_response(
|
||||
operation_id=operation_id,
|
||||
request_method="PUT",
|
||||
request_url=upload_url,
|
||||
request_headers=headers or None,
|
||||
request_data=f"[File data {len(data)} bytes]",
|
||||
error_message=f"{type(e).__name__}: {str(e)} (will retry)",
|
||||
)
|
||||
await _sleep_with_interrupt(
|
||||
delay,
|
||||
cls,
|
||||
wait_label,
|
||||
start_ts,
|
||||
None,
|
||||
display_callback=_display_time_progress if wait_label else None,
|
||||
)
|
||||
delay *= retry_backoff
|
||||
continue
|
||||
|
||||
diag = await _diagnose_connectivity()
|
||||
if diag.get("is_local_issue"):
|
||||
raise LocalNetworkError(
|
||||
"Unable to connect to the network. Please check your internet connection and try again."
|
||||
) from e
|
||||
raise ApiServerError("The API service appears unreachable at this time.") from e
|
||||
finally:
|
||||
stop_evt.set()
|
||||
if monitor_task:
|
||||
monitor_task.cancel()
|
||||
with contextlib.suppress(Exception):
|
||||
await monitor_task
|
||||
if sess:
|
||||
with contextlib.suppress(Exception):
|
||||
await sess.close()
|
||||
|
||||
|
||||
def _generate_operation_id(method: str, url: str, attempt: int, op_uuid: str) -> str:
|
||||
try:
|
||||
parsed = urlparse(url)
|
||||
slug = (parsed.path.rsplit("/", 1)[-1] or parsed.netloc or "upload").strip("/").replace("/", "_")
|
||||
except Exception:
|
||||
slug = "upload"
|
||||
return f"{method}_{slug}_{op_uuid}_try{attempt}"
|
||||
Loading…
x
Reference in New Issue
Block a user