Files
robertvoy-ComfyUI-Distributed/api/queue_request.py
T
Robert Wojciechowski 3058b11ff2 Remove list splitter/collector feature and refactor distributed modules
- Remove DistributedListSplitter and DistributedListCollector nodes
- Remove /distributed/init_list_queue and /distributed/request_list_item endpoints
- Clean up all references from prompt_transform, queue_orchestration, constants, and tests
- Refactor and reorganize distributed modules for quality improvements
2026-03-07 05:22:09 +00:00

85 lines
3.2 KiB
Python

from dataclasses import dataclass
from typing import Any
try:
from ..utils.worker_ids import require_enabled_worker_ids
except ImportError: # pragma: no cover - supports direct module loading in isolated tests.
from utils.worker_ids import require_enabled_worker_ids
@dataclass(frozen=True)
class QueueRequestPayload:
prompt: dict[str, Any]
workflow_meta: dict[str, Any] | None
client_id: str
delegate_master: bool | None
enabled_worker_ids: list[str]
trace_execution_id: str | None
def parse_queue_request_payload(data: Any) -> QueueRequestPayload:
"""Parse and validate /distributed/queue payload into a normalized shape."""
if not isinstance(data, dict):
raise ValueError("Expected a JSON object body")
prompt = data.get("prompt")
# Auto-prepare is always on server-side; keep the field for wire compatibility.
if prompt is None:
workflow_payload = data.get("workflow")
if isinstance(workflow_payload, dict):
candidate_prompt = workflow_payload.get("prompt")
if isinstance(candidate_prompt, dict):
prompt = candidate_prompt
if not isinstance(prompt, dict):
raise ValueError("Field 'prompt' must be an object")
workflow_meta = data.get("workflow")
if workflow_meta is not None and not isinstance(workflow_meta, dict):
raise ValueError("Field 'workflow' must be an object when provided")
enabled_ids_raw = data.get("enabled_worker_ids")
workers_field = data.get("workers")
if enabled_ids_raw is None and workers_field is not None:
if not isinstance(workers_field, list):
raise ValueError("Field 'workers' must be a list when provided")
enabled_ids_raw = []
for entry in workers_field:
worker_id = entry.get("id") if isinstance(entry, dict) else entry
if worker_id is not None:
enabled_ids_raw.append(str(worker_id))
if enabled_ids_raw is None:
raise ValueError("enabled_worker_ids required")
else:
if not isinstance(enabled_ids_raw, list):
raise ValueError("enabled_worker_ids must be a list of worker IDs")
try:
enabled_ids = require_enabled_worker_ids(enabled_ids_raw)
except ValueError as exc:
raise ValueError(f"enabled_worker_ids invalid: {exc}") from exc
delegate_master = data.get("delegate_master")
if delegate_master is not None and not isinstance(delegate_master, bool):
raise ValueError("delegate_master must be a boolean when provided")
client_id = data.get("client_id")
if not isinstance(client_id, str) or not client_id.strip():
raise ValueError("client_id required")
client_id = client_id.strip()
trace_execution_id = data.get("trace_execution_id")
if trace_execution_id is not None:
if not isinstance(trace_execution_id, str):
raise ValueError("trace_execution_id must be a string when provided")
trace_execution_id = trace_execution_id.strip() or None
return QueueRequestPayload(
prompt=prompt,
workflow_meta=workflow_meta,
client_id=client_id,
delegate_master=delegate_master,
enabled_worker_ids=enabled_ids,
trace_execution_id=trace_execution_id,
)