Robert Wojciechowski
dcddf23db2
Distributed Image List Start no longer has reference_image, text, strength, seed or per-slot mode dropdowns. It now takes images, mask and up to 10 generic value_N inputs (IMAGE, MASK, STRING, INT, FLOAT, BOOLEAN) that grow via native V3 Autogrow, each with a matching output. - One value is shared by every image; one per image pairs in order; any other count fails before dispatch. Only images is split into frames. - Outputs are declared up front (image, mask, item_index, context, value_1..value_10). web/imageListStart.js hides unused value outputs, mirrors input types, and follows Autogrow compaction so downstream links keep their value. - Image-list protocol bumped to v2; older workers fail preflight. Breaking: saved workflows using the old Start inputs must recreate Start.
90 lines
3.6 KiB
Python
90 lines
3.6 KiB
Python
"""Bounded, typed HTTP transport for dynamic image-list worker tasks."""
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import json
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from aiohttp import web
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import server
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from ..image_list.runtime import (
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MAX_REQUEST_BYTES,
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PROTOCOL_VERSION,
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decode_result,
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delete_worker_item,
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set_master_result,
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store_worker_item,
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)
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prompt_server = server.PromptServer.instance
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async def _json_body(request):
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length = request.content_length
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if length is not None and length > MAX_REQUEST_BYTES:
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raise ValueError(f"Request exceeds the {MAX_REQUEST_BYTES}-byte image-list limit")
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raw = bytearray()
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async for chunk in request.content.iter_chunked(64 * 1024):
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raw.extend(chunk)
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if len(raw) > MAX_REQUEST_BYTES:
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raise ValueError(f"Request exceeds the {MAX_REQUEST_BYTES}-byte image-list limit")
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try:
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return json.loads(raw.decode("utf-8"))
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except (UnicodeDecodeError, json.JSONDecodeError) as exc:
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raise ValueError(f"Invalid image-list JSON body: {exc}") from exc
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@prompt_server.routes.get("/distributed/image-list/capabilities")
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async def image_list_capabilities_endpoint(_request):
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return web.json_response({
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"supported": True,
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"protocol_version": PROTOCOL_VERSION,
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"node_ids": ["DistributedImageListStart", "DistributedImageListEnd"],
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"transport": "typed-float-tensor-json-v1",
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})
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@prompt_server.routes.post("/distributed/image-list/item")
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async def image_list_item_endpoint(request):
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try:
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data = await _json_body(request)
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if not isinstance(data, dict):
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raise ValueError("Expected an image-list item object")
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context_id = data.get("context_id")
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if not isinstance(context_id, str) or not context_id:
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raise ValueError("context_id must be a non-empty string")
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item = data.get("item")
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store_worker_item(data.get("token"), item)
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return web.json_response({"status": "stored", "item_index": item["index"]})
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except (ValueError, TypeError) as exc:
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return web.json_response({"error": str(exc)}, status=400)
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except Exception as exc:
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return web.json_response({"error": str(exc)}, status=500)
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@prompt_server.routes.delete("/distributed/image-list/item/{token}")
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async def image_list_delete_item_endpoint(request):
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token = request.match_info.get("token", "")
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return web.json_response({"status": "deleted", "removed": delete_worker_item(token)})
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@prompt_server.routes.post("/distributed/image-list/result")
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async def image_list_result_endpoint(request):
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try:
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data = await _json_body(request)
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if not isinstance(data, dict):
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raise ValueError("Expected an image-list result object")
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context_id = data.get("context_id")
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token = data.get("token")
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item_index = data.get("item_index")
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if not isinstance(context_id, str) or not context_id:
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raise ValueError("context_id must be a non-empty string")
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if not isinstance(token, str) or not token:
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raise ValueError("token must be a non-empty string")
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if isinstance(item_index, bool) or not isinstance(item_index, int) or item_index < 0:
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raise ValueError("item_index must be a non-negative integer")
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result = decode_result(data.get("result"))
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set_master_result(context_id, item_index, token, result)
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return web.json_response({"status": "accepted", "item_index": item_index})
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except (ValueError, TypeError) as exc:
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return web.json_response({"error": str(exc)}, status=400)
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except Exception as exc:
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return web.json_response({"error": str(exc)}, status=500)
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