refactor: decompose collector, queue overrides, and worker network info

This commit is contained in:
Robert Wojciechowski
2026-02-23 02:44:55 +00:00
parent 5bd2a60ab3
commit f89a0cc711
3 changed files with 321 additions and 300 deletions
+109 -65
View File
@@ -439,6 +439,70 @@ async def _queue_master_prompt(prompt_obj, workflow_meta, client_id):
return prompt_id
def _override_seed_nodes(prompt_copy, prompt_index, is_master, participant_id, worker_index_map):
"""Configure DistributedSeed nodes for master or worker role."""
for node_id in prompt_index.nodes_for_class("DistributedSeed"):
inputs = prompt_copy.setdefault(node_id, {}).setdefault("inputs", {})
inputs["is_worker"] = not is_master
if is_master:
inputs["worker_id"] = ""
else:
inputs["worker_id"] = f"worker_{worker_index_map.get(participant_id, 0)}"
def _override_collector_nodes(
prompt_copy,
prompt_index,
is_master,
participant_id,
job_id_map,
master_url,
enabled_json,
delegate_master,
):
"""Configure DistributedCollector nodes for master or worker role."""
for node_id in prompt_index.nodes_for_class("DistributedCollector"):
if prompt_index.has_upstream(node_id, "UltimateSDUpscaleDistributed"):
prompt_copy.setdefault(node_id, {}).setdefault("inputs", {})["pass_through"] = True
continue
inputs = prompt_copy.setdefault(node_id, {}).setdefault("inputs", {})
inputs["multi_job_id"] = job_id_map.get(node_id, node_id)
inputs["is_worker"] = not is_master
inputs["enabled_worker_ids"] = enabled_json
if is_master:
inputs["delegate_only"] = bool(delegate_master)
inputs.pop("master_url", None)
inputs.pop("worker_id", None)
else:
inputs["master_url"] = master_url
inputs["worker_id"] = participant_id
inputs["delegate_only"] = False
def _override_upscale_nodes(
prompt_copy,
prompt_index,
is_master,
participant_id,
job_id_map,
master_url,
enabled_json,
):
"""Configure UltimateSDUpscaleDistributed nodes for master or worker role."""
for node_id in prompt_index.nodes_for_class("UltimateSDUpscaleDistributed"):
inputs = prompt_copy.setdefault(node_id, {}).setdefault("inputs", {})
inputs["multi_job_id"] = job_id_map.get(node_id, node_id)
inputs["is_worker"] = not is_master
inputs["enabled_worker_ids"] = enabled_json
if is_master:
inputs.pop("master_url", None)
inputs.pop("worker_id", None)
else:
inputs["master_url"] = master_url
inputs["worker_id"] = participant_id
def _apply_participant_overrides(
prompt_copy,
participant_id,
@@ -453,60 +517,54 @@ def _apply_participant_overrides(
worker_index_map = {wid: idx for idx, wid in enumerate(enabled_worker_ids)}
enabled_json = json.dumps(enabled_worker_ids)
# Distributed seed nodes
for node_id in prompt_index.nodes_for_class("DistributedSeed"):
node = prompt_copy.get(node_id, {})
inputs = node.setdefault("inputs", {})
inputs["is_worker"] = not is_master
if not is_master:
idx = worker_index_map.get(participant_id, 0)
inputs["worker_id"] = f"worker_{idx}"
else:
inputs["worker_id"] = ""
# Distributed collectors
for node_id in prompt_index.nodes_for_class("DistributedCollector"):
node = prompt_copy.get(node_id, {})
inputs = node.setdefault("inputs", {})
if prompt_index.has_upstream(node_id, "UltimateSDUpscaleDistributed"):
inputs["pass_through"] = True
continue
unique_id = job_id_map.get(node_id, node_id)
inputs["multi_job_id"] = unique_id
inputs["is_worker"] = not is_master
if is_master:
inputs["enabled_worker_ids"] = enabled_json
inputs["delegate_only"] = bool(delegate_master)
inputs.pop("master_url", None)
inputs.pop("worker_id", None)
else:
inputs["master_url"] = master_url
inputs["worker_id"] = participant_id
inputs["enabled_worker_ids"] = enabled_json
inputs["delegate_only"] = False
# Distributed upscaler nodes
for node_id in prompt_index.nodes_for_class("UltimateSDUpscaleDistributed"):
node = prompt_copy.get(node_id, {})
inputs = node.setdefault("inputs", {})
unique_id = job_id_map.get(node_id, node_id)
inputs["multi_job_id"] = unique_id
inputs["is_worker"] = not is_master
if is_master:
inputs["enabled_worker_ids"] = enabled_json
inputs.pop("master_url", None)
inputs.pop("worker_id", None)
else:
inputs["master_url"] = master_url
inputs["worker_id"] = participant_id
inputs["enabled_worker_ids"] = enabled_json
_override_seed_nodes(prompt_copy, prompt_index, is_master, participant_id, worker_index_map)
_override_collector_nodes(
prompt_copy,
prompt_index,
is_master,
participant_id,
job_id_map,
master_url,
enabled_json,
delegate_master,
)
_override_upscale_nodes(
prompt_copy,
prompt_index,
is_master,
participant_id,
job_id_map,
master_url,
enabled_json,
)
return prompt_copy
async def _select_active_workers(workers, use_websocket, delegate_master):
"""Probe workers and return (active_workers, updated_delegate_master).
If all workers are offline and delegate_master was True, flips delegate_master to False.
"""
active_workers = []
for worker in workers:
is_active = (
await _worker_ws_is_active(worker)
if use_websocket
else await _worker_is_active(worker)
)
if is_active:
active_workers.append(worker)
else:
log(f"[Distributed] Worker {worker['name']} ({worker['id']}) is offline, skipping.")
if not active_workers and delegate_master:
debug_log("All workers offline while delegate-only requested; enabling master participation.")
delegate_master = False
return active_workers, delegate_master
async def orchestrate_distributed_execution(
prompt_obj,
workflow_meta,
@@ -535,21 +593,7 @@ async def orchestrate_distributed_execution(
debug_log("Delegate-only requested but no workers are enabled. Falling back to master execution.")
delegate_master = False
# Filter to active workers
active_workers = []
for worker in workers:
if use_websocket:
is_active = await _worker_ws_is_active(worker)
else:
is_active = await _worker_is_active(worker)
if is_active:
active_workers.append(worker)
else:
log(f"[Distributed] Worker {worker['name']} ({worker['id']}) is offline, skipping.")
if not active_workers and delegate_master:
debug_log("All workers offline while delegate-only requested; enabling master participation.")
delegate_master = False
active_workers, delegate_master = await _select_active_workers(workers, use_websocket, delegate_master)
enabled_ids = [worker["id"] for worker in active_workers]