40678a51c4
Worker prompts drop everything downstream of DistributedCollector / UltimateSDUpscaleDistributed, so the master re-added a PreviewImage (or PreviewAudio) to give ComfyUI an output node. That preview wrote every result frame as a PNG into the worker's temp directory: for a 362-frame 1344x768 video, ~2 GB per run (RAM when temp is on tmpfs) plus CPU time spent PNG-encoding frames nobody looks at. - Add DistributedWorkerSink: an output node that discards its input. It is is_dev_only, so it stays out of node search and menus. - The master probes each worker with GET /object_info/DistributedWorkerSink while preparing its prompt and uses the sink when it is registered. Workers on older versions (or a failed probe) keep the PreviewImage / PreviewAudio terminator, so mixed versions keep working. Verified with a real master plus one updated and one old worker: the updated worker ran EmptyImage -> Collector -> Sink and left its temp directory empty; the old worker still received PreviewImage. Claude-Session: https://claude.ai/code/session_0166t8T3CVaxZkJbP2RtSpo6 Co-authored-by: ymiyad <cab-13-might@icloud.com> Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
1060 lines
43 KiB
Python
1060 lines
43 KiB
Python
import importlib.util
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import json
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import sys
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import types
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import unittest
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from pathlib import Path
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def _load_prompt_transform_module():
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module_path = Path(__file__).resolve().parents[1] / "api" / "orchestration" / "prompt_transform.py"
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package_name = "dist_pt_testpkg"
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for mod_name in list(sys.modules):
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if mod_name == package_name or mod_name.startswith(f"{package_name}."):
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del sys.modules[mod_name]
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root_pkg = types.ModuleType(package_name)
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root_pkg.__path__ = []
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sys.modules[package_name] = root_pkg
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api_pkg = types.ModuleType(f"{package_name}.api")
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api_pkg.__path__ = []
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sys.modules[f"{package_name}.api"] = api_pkg
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orch_pkg = types.ModuleType(f"{package_name}.api.orchestration")
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orch_pkg.__path__ = []
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sys.modules[f"{package_name}.api.orchestration"] = orch_pkg
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utils_pkg = types.ModuleType(f"{package_name}.utils")
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utils_pkg.__path__ = []
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sys.modules[f"{package_name}.utils"] = utils_pkg
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logging_module = types.ModuleType(f"{package_name}.utils.logging")
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logging_module.debug_log = lambda *_args, **_kwargs: None
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logging_module.log = lambda *_args, **_kwargs: None
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sys.modules[f"{package_name}.utils.logging"] = logging_module
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spec = importlib.util.spec_from_file_location(
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f"{package_name}.api.orchestration.prompt_transform",
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module_path,
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)
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module = importlib.util.module_from_spec(spec)
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assert spec is not None and spec.loader is not None
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spec.loader.exec_module(module)
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return module
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pt = _load_prompt_transform_module()
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# ---------------------------------------------------------------------------
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# Helpers
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# ---------------------------------------------------------------------------
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def _linear_prompt():
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"""1 → 2 → 3 → 4(DistributedCollector) → 5(SaveImage)"""
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return {
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"1": {"class_type": "CheckpointLoaderSimple", "inputs": {}},
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"2": {"class_type": "CLIPTextEncode", "inputs": {"clip": ["1", 1]}},
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"3": {"class_type": "KSampler", "inputs": {"model": ["1", 0], "positive": ["2", 0]}},
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"4": {"class_type": "DistributedCollector", "inputs": {"images": ["3", 0]}},
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"5": {"class_type": "SaveImage", "inputs": {"images": ["4", 0]}},
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}
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def _collector_only_prompt():
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"""1(Checkpoint) → 2(DistributedCollector) [no downstream from 2]"""
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return {
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"1": {"class_type": "CheckpointLoaderSimple", "inputs": {}},
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"2": {"class_type": "DistributedCollector", "inputs": {"images": ["1", 0]}},
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}
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def _audio_only_prompt():
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"""1(Audio source) → 2(DistributedCollector) → 3(Audio sink)."""
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return {
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"1": {"class_type": "LoadAudio", "inputs": {}},
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"2": {"class_type": "DistributedCollector", "inputs": {"audio": ["1", 0]}},
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"3": {"class_type": "SaveAudio", "inputs": {"audio": ["2", 1]}},
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}
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def _delegate_prompt():
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"""1 → 2 → 3(DistributedCollector) → 4(SaveImage)"""
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return {
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"1": {"class_type": "CheckpointLoaderSimple", "inputs": {}},
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"2": {"class_type": "KSampler", "inputs": {"model": ["1", 0]}},
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"3": {"class_type": "DistributedCollector", "inputs": {"images": ["2", 0]}},
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"4": {"class_type": "SaveImage", "inputs": {"images": ["3", 0]}},
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}
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def _apply(prompt, participant_id, enabled_worker_ids=None, delegate_master=False):
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if enabled_worker_ids is None:
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enabled_worker_ids = ["worker-a", "worker-b"]
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idx = pt.PromptIndex(prompt)
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job_id_map = pt.generate_job_id_map(idx, "run")
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return pt.apply_participant_overrides(
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prompt,
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participant_id=participant_id,
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enabled_worker_ids=enabled_worker_ids,
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job_id_map=job_id_map,
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master_url="http://master.example.com",
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delegate_master=delegate_master,
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prompt_index=idx,
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)
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# ---------------------------------------------------------------------------
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# PromptIndex
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# ---------------------------------------------------------------------------
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class PromptIndexTests(unittest.TestCase):
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def test_nodes_by_class_groups_correctly(self):
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prompt = {
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"1": {"class_type": "CheckpointLoaderSimple", "inputs": {}},
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"2": {"class_type": "DistributedCollector", "inputs": {}},
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"3": {"class_type": "DistributedCollector", "inputs": {}},
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}
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idx = pt.PromptIndex(prompt)
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self.assertCountEqual(idx.nodes_for_class("DistributedCollector"), ["2", "3"])
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self.assertEqual(idx.nodes_for_class("CheckpointLoaderSimple"), ["1"])
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def test_nodes_for_class_unknown_returns_empty(self):
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idx = pt.PromptIndex({"1": {"class_type": "KSampler", "inputs": {}}})
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self.assertEqual(idx.nodes_for_class("Nonexistent"), [])
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def test_nodes_without_class_type_are_indexed_under_none(self):
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prompt = {"1": {"inputs": {}}}
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idx = pt.PromptIndex(prompt)
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# Should not raise; nodes_for_class with None key or missing class_type
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self.assertEqual(idx.nodes_for_class("KSampler"), [])
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def test_copy_prompt_is_a_deep_copy(self):
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prompt = {"1": {"class_type": "KSampler", "inputs": {"seed": 42}}}
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idx = pt.PromptIndex(prompt)
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copy = idx.copy_prompt()
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copy["1"]["inputs"]["seed"] = 999
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self.assertEqual(prompt["1"]["inputs"]["seed"], 42)
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def test_has_upstream_direct_connection(self):
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"""Node 4 reads directly from node 3 (KSampler)."""
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idx = pt.PromptIndex(_linear_prompt())
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self.assertTrue(idx.has_upstream("4", "KSampler"))
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def test_has_upstream_transitive_connection(self):
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"""Node 4 → 3 → 2 → 1 (CheckpointLoaderSimple)."""
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idx = pt.PromptIndex(_linear_prompt())
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self.assertTrue(idx.has_upstream("4", "CheckpointLoaderSimple"))
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def test_has_upstream_returns_false_when_no_path(self):
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idx = pt.PromptIndex(_linear_prompt())
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# CheckpointLoaderSimple has no upstream nodes
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self.assertFalse(idx.has_upstream("1", "DistributedCollector"))
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def test_has_upstream_result_is_cached(self):
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idx = pt.PromptIndex(_linear_prompt())
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r1 = idx.has_upstream("4", "KSampler")
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r2 = idx.has_upstream("4", "KSampler")
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self.assertEqual(r1, r2)
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self.assertIn(("4", "KSampler"), idx._upstream_cache)
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def test_has_upstream_does_not_infinite_loop_on_cycle(self):
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"""Cyclic references in inputs should not cause infinite recursion."""
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prompt = {
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"1": {"class_type": "A", "inputs": {"x": ["2", 0]}},
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"2": {"class_type": "B", "inputs": {"x": ["1", 0]}},
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}
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idx = pt.PromptIndex(prompt)
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# Should terminate without error
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result = idx.has_upstream("1", "NonExistent")
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self.assertFalse(result)
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# ---------------------------------------------------------------------------
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# find_nodes_by_class
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# ---------------------------------------------------------------------------
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class FindNodesByClassTests(unittest.TestCase):
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def test_finds_matching_nodes(self):
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prompt = {
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"1": {"class_type": "KSampler", "inputs": {}},
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"2": {"class_type": "DistributedCollector", "inputs": {}},
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}
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result = pt.find_nodes_by_class(prompt, "KSampler")
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self.assertEqual(result, ["1"])
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def test_returns_empty_when_no_match(self):
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prompt = {"1": {"class_type": "KSampler", "inputs": {}}}
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self.assertEqual(pt.find_nodes_by_class(prompt, "DistributedCollector"), [])
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def test_skips_non_dict_nodes(self):
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prompt = {"1": "not a dict", "2": {"class_type": "KSampler", "inputs": {}}}
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result = pt.find_nodes_by_class(prompt, "KSampler")
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self.assertEqual(result, ["2"])
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# ---------------------------------------------------------------------------
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# prune_prompt_for_worker
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# ---------------------------------------------------------------------------
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class PrunePromptForWorkerTests(unittest.TestCase):
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def test_no_distributed_nodes_returns_prompt_unchanged(self):
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prompt = {
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"1": {"class_type": "CheckpointLoaderSimple", "inputs": {}},
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"2": {"class_type": "SaveImage", "inputs": {"images": ["1", 0]}},
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}
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result = pt.prune_prompt_for_worker(prompt)
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self.assertCountEqual(result.keys(), ["1", "2"])
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def test_keeps_collector_and_upstream(self):
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prompt = _linear_prompt()
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result = pt.prune_prompt_for_worker(prompt)
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for node_id in ("1", "2", "3", "4"):
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self.assertIn(node_id, result)
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def test_removes_downstream_of_collector(self):
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prompt = _linear_prompt()
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result = pt.prune_prompt_for_worker(prompt)
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self.assertNotIn("5", result)
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def test_injects_preview_image_when_downstream_exists(self):
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prompt = _linear_prompt()
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result = pt.prune_prompt_for_worker(prompt)
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preview_nodes = [n for n in result.values() if n.get("class_type") == "PreviewImage"]
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self.assertEqual(len(preview_nodes), 1)
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self.assertEqual(preview_nodes[0]["inputs"]["images"], ["4", 0])
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def test_injects_preview_audio_for_audio_only_collector(self):
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result = pt.prune_prompt_for_worker(_audio_only_prompt())
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preview_nodes = [n for n in result.values() if n.get("class_type") == "PreviewAudio"]
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self.assertEqual(len(preview_nodes), 1)
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self.assertEqual(preview_nodes[0]["inputs"]["audio"], ["2", 1])
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self.assertFalse(any(n.get("class_type") == "PreviewImage" for n in result.values()))
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def test_prefers_image_preview_when_collector_has_images_and_audio(self):
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prompt = _linear_prompt()
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prompt["6"] = {"class_type": "LoadAudio", "inputs": {}}
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prompt["4"]["inputs"]["audio"] = ["6", 0]
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result = pt.prune_prompt_for_worker(prompt)
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self.assertEqual(
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len([n for n in result.values() if n.get("class_type") == "PreviewImage"]),
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1,
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)
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self.assertFalse(any(n.get("class_type") == "PreviewAudio" for n in result.values()))
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def test_preserves_image_preview_for_distributed_upscale(self):
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prompt = {
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"1": {"class_type": "LoadImage", "inputs": {}},
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"2": {"class_type": "UltimateSDUpscaleDistributed", "inputs": {"upscaled_image": ["1", 0]}},
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"3": {"class_type": "SaveImage", "inputs": {"images": ["2", 0]}},
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}
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result = pt.prune_prompt_for_worker(prompt)
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preview_nodes = [n for n in result.values() if n.get("class_type") == "PreviewImage"]
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self.assertEqual(len(preview_nodes), 1)
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self.assertEqual(preview_nodes[0]["inputs"]["images"], ["2", 0])
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def test_no_preview_image_when_no_downstream(self):
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result = pt.prune_prompt_for_worker(_collector_only_prompt())
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preview_nodes = [n for n in result.values() if n.get("class_type") == "PreviewImage"]
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self.assertEqual(len(preview_nodes), 0)
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def test_worker_sink_replaces_preview_image(self):
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result = pt.prune_prompt_for_worker(_linear_prompt(), use_worker_sink=True)
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sinks = [n for n in result.values() if n.get("class_type") == pt.WORKER_SINK_CLASS]
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self.assertEqual(len(sinks), 1)
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self.assertEqual(sinks[0]["inputs"], {"value": ["4", 0]})
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self.assertFalse(any(n.get("class_type") in ("PreviewImage", "PreviewAudio") for n in result.values()))
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def test_worker_sink_uses_audio_output_for_audio_only_collector(self):
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result = pt.prune_prompt_for_worker(_audio_only_prompt(), use_worker_sink=True)
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sinks = [n for n in result.values() if n.get("class_type") == pt.WORKER_SINK_CLASS]
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self.assertEqual([s["inputs"] for s in sinks], [{"value": ["2", 1]}])
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self.assertFalse(any(n.get("class_type") == "PreviewAudio" for n in result.values()))
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def test_worker_sink_for_distributed_upscale(self):
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prompt = {
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"1": {"class_type": "LoadImage", "inputs": {}},
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"2": {"class_type": "UltimateSDUpscaleDistributed", "inputs": {"upscaled_image": ["1", 0]}},
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"3": {"class_type": "SaveImage", "inputs": {"images": ["2", 0]}},
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}
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result = pt.prune_prompt_for_worker(prompt, use_worker_sink=True)
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sinks = [n for n in result.values() if n.get("class_type") == pt.WORKER_SINK_CLASS]
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self.assertEqual([s["inputs"] for s in sinks], [{"value": ["2", 0]}])
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self.assertNotIn("3", result)
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def test_worker_sink_ids_do_not_collide_with_original_prompt(self):
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prompt = _linear_prompt()
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result = pt.prune_prompt_for_worker(prompt, use_worker_sink=True)
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sink_ids = [k for k, n in result.items() if n.get("class_type") == pt.WORKER_SINK_CLASS]
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self.assertTrue(all(k not in prompt for k in sink_ids))
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def test_no_worker_sink_when_no_downstream(self):
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result = pt.prune_prompt_for_worker(_collector_only_prompt(), use_worker_sink=True)
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self.assertFalse(any(n.get("class_type") == pt.WORKER_SINK_CLASS for n in result.values()))
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def test_unrelated_nodes_are_pruned(self):
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prompt = {
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"1": {"class_type": "DistributedCollector", "inputs": {}},
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"2": {"class_type": "UnrelatedNode", "inputs": {}}, # no connection to 1
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}
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result = pt.prune_prompt_for_worker(prompt)
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self.assertIn("1", result)
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self.assertNotIn("2", result)
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|
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def test_result_is_a_copy_not_same_object(self):
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prompt = _linear_prompt()
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result = pt.prune_prompt_for_worker(prompt)
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# Mutating the result should not affect the original
|
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original_keys = set(prompt.keys())
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result["NEW"] = {"class_type": "Test", "inputs": {}}
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self.assertEqual(set(prompt.keys()), original_keys)
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|
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def test_upscale_node_is_treated_as_distributed(self):
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prompt = {
|
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"1": {"class_type": "KSampler", "inputs": {}},
|
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"2": {"class_type": "UltimateSDUpscaleDistributed", "inputs": {"upscaled_image": ["1", 0]}},
|
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"3": {"class_type": "SaveImage", "inputs": {"images": ["2", 0]}},
|
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}
|
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result = pt.prune_prompt_for_worker(prompt)
|
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self.assertIn("1", result)
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self.assertIn("2", result)
|
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self.assertNotIn("3", result)
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# prepare_delegate_master_prompt
|
||
# ---------------------------------------------------------------------------
|
||
|
||
class PrepareDelegateMasterPromptTests(unittest.TestCase):
|
||
def test_keeps_collector_and_downstream(self):
|
||
prompt = _delegate_prompt()
|
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result = pt.prepare_delegate_master_prompt(prompt, ["3"])
|
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self.assertIn("3", result)
|
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self.assertIn("4", result)
|
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self.assertNotIn("1", result)
|
||
self.assertNotIn("2", result)
|
||
|
||
def test_replaces_dangling_upstream_ref_with_one_empty_image_placeholder(self):
|
||
"""Collector must point to exactly one valid placeholder after pruning."""
|
||
prompt = _delegate_prompt()
|
||
result = pt.prepare_delegate_master_prompt(prompt, ["3"])
|
||
collector_inputs = result["3"].get("inputs", {})
|
||
# Original "images" pointed at node 2, which is pruned.
|
||
# It should now point at a newly injected placeholder node.
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self.assertIn("images", collector_inputs)
|
||
source_id = str(collector_inputs["images"][0])
|
||
self.assertNotEqual(source_id, "2")
|
||
self.assertIn(source_id, result)
|
||
self.assertEqual(result[source_id].get("class_type"), "DistributedEmptyImage")
|
||
empty_nodes = [(nid, n) for nid, n in result.items() if n.get("class_type") == "DistributedEmptyImage"]
|
||
self.assertEqual(len(empty_nodes), 1)
|
||
placeholder_id = empty_nodes[0][0]
|
||
self.assertEqual(result["3"]["inputs"]["images"], [placeholder_id, 0])
|
||
|
||
def test_audio_only_collector_does_not_get_image_placeholder(self):
|
||
prompt = _audio_only_prompt()
|
||
result = pt.prepare_delegate_master_prompt(prompt, ["2"])
|
||
empty_nodes = [n for n in result.values() if n.get("class_type") == "DistributedEmptyImage"]
|
||
self.assertEqual(empty_nodes, [])
|
||
self.assertNotIn("images", result["2"].get("inputs", {}))
|
||
self.assertNotIn("audio", result["2"].get("inputs", {}))
|
||
|
||
def test_one_placeholder_per_collector(self):
|
||
"""Two collectors → two placeholders."""
|
||
prompt = {
|
||
"1": {"class_type": "DistributedCollector", "inputs": {"images": ["10", 0]}},
|
||
"2": {"class_type": "DistributedCollector", "inputs": {"images": ["11", 0]}},
|
||
"3": {"class_type": "SaveImage", "inputs": {"images": ["1", 0]}},
|
||
"10": {"class_type": "LoadImage", "inputs": {}},
|
||
"11": {"class_type": "LoadImage", "inputs": {}},
|
||
}
|
||
result = pt.prepare_delegate_master_prompt(prompt, ["1", "2"])
|
||
empty_nodes = [n for n in result.values() if n.get("class_type") == "DistributedEmptyImage"]
|
||
self.assertEqual(len(empty_nodes), 2)
|
||
|
||
def test_preserves_primitive_string_for_downstream_required_input(self):
|
||
"""Delegate-only master keeps primitive inputs needed by SaveImage."""
|
||
save_image = type(
|
||
"SaveImage",
|
||
(),
|
||
{
|
||
"INPUT_TYPES": classmethod(
|
||
lambda cls: {
|
||
"required": {
|
||
"images": ("IMAGE",),
|
||
"filename_prefix": ("STRING",),
|
||
}
|
||
}
|
||
)
|
||
},
|
||
)
|
||
previous_mappings = getattr(pt, "_DELEGATE_MASTER_NODE_CLASS_MAPPINGS", None)
|
||
pt._DELEGATE_MASTER_NODE_CLASS_MAPPINGS = {"SaveImage": save_image}
|
||
try:
|
||
prompt = {
|
||
"8": {"class_type": "KSampler", "inputs": {}},
|
||
"11": {"class_type": "DistributedCollector", "inputs": {"images": ["8", 0]}},
|
||
"15": {"class_type": "PrimitiveString", "inputs": {"value": "test/input_bug"}},
|
||
"9": {
|
||
"class_type": "SaveImage",
|
||
"inputs": {
|
||
"images": ["11", 0],
|
||
"filename_prefix": ["15", 0],
|
||
},
|
||
},
|
||
}
|
||
|
||
result = pt.prepare_delegate_master_prompt(prompt, ["11"])
|
||
finally:
|
||
pt._DELEGATE_MASTER_NODE_CLASS_MAPPINGS = previous_mappings
|
||
|
||
self.assertIn("15", result)
|
||
self.assertEqual(result["15"], prompt["15"])
|
||
self.assertEqual(result["9"]["inputs"]["filename_prefix"], ["15", 0])
|
||
|
||
def test_preserves_load_image_for_switch_alternate_required_input(self):
|
||
"""Delegate-only master keeps LoadImage inputs needed by switches."""
|
||
prompt = {
|
||
"848": {"class_type": "LoadImage", "inputs": {"image": "input_bug2_00003_.png"}},
|
||
"862": {"class_type": "VAEDecode", "inputs": {}},
|
||
"854": {"class_type": "DistributedCollector", "inputs": {"images": ["862", 0]}},
|
||
"850": {
|
||
"class_type": "ComfySwitchNode",
|
||
"inputs": {
|
||
"on_false": ["848", 0],
|
||
"on_true": ["854", 0],
|
||
},
|
||
},
|
||
"851": {"class_type": "PreviewImage", "inputs": {"images": ["850", 0]}},
|
||
}
|
||
|
||
result = pt.prepare_delegate_master_prompt(prompt, ["854"])
|
||
|
||
self.assertIn("848", result)
|
||
self.assertEqual(result["850"]["inputs"]["on_false"], ["848", 0])
|
||
self.assertEqual(result["850"]["inputs"]["on_true"], ["854", 0])
|
||
self.assertNotIn("862", result)
|
||
|
||
def test_preserves_registered_string_utility_subgraph_for_downstream_required_input(self):
|
||
"""Delegate-only master keeps scalar utility chains used by SaveImage."""
|
||
string_concat = type(
|
||
"StringConcatenate",
|
||
(),
|
||
{
|
||
"RETURN_TYPES": ("STRING",),
|
||
"INPUT_TYPES": classmethod(
|
||
lambda cls: {
|
||
"required": {
|
||
"string_a": ("STRING",),
|
||
"string_b": ("STRING",),
|
||
}
|
||
}
|
||
),
|
||
},
|
||
)
|
||
save_image = type(
|
||
"SaveImage",
|
||
(),
|
||
{
|
||
"INPUT_TYPES": classmethod(
|
||
lambda cls: {
|
||
"required": {
|
||
"images": ("IMAGE",),
|
||
"filename_prefix": ("STRING",),
|
||
}
|
||
}
|
||
)
|
||
},
|
||
)
|
||
previous_mappings = getattr(pt, "_DELEGATE_MASTER_NODE_CLASS_MAPPINGS", None)
|
||
pt._DELEGATE_MASTER_NODE_CLASS_MAPPINGS = {
|
||
"SaveImage": save_image,
|
||
"StringConcatenate": string_concat,
|
||
}
|
||
try:
|
||
prompt = {
|
||
"8": {"class_type": "KSampler", "inputs": {}},
|
||
"11": {"class_type": "DistributedCollector", "inputs": {"images": ["8", 0]}},
|
||
"15": {"class_type": "PrimitiveString", "inputs": {"value": "test"}},
|
||
"16": {"class_type": "PrimitiveString", "inputs": {"value": "input_bug3"}},
|
||
"17": {
|
||
"class_type": "StringConcatenate",
|
||
"inputs": {
|
||
"string_a": ["15", 0],
|
||
"string_b": ["16", 0],
|
||
},
|
||
},
|
||
"9": {
|
||
"class_type": "SaveImage",
|
||
"inputs": {
|
||
"images": ["11", 0],
|
||
"filename_prefix": ["17", 0],
|
||
},
|
||
},
|
||
}
|
||
|
||
result = pt.prepare_delegate_master_prompt(prompt, ["11"])
|
||
finally:
|
||
pt._DELEGATE_MASTER_NODE_CLASS_MAPPINGS = previous_mappings
|
||
|
||
self.assertIn("15", result)
|
||
self.assertIn("16", result)
|
||
self.assertIn("17", result)
|
||
self.assertEqual(result["9"]["inputs"]["filename_prefix"], ["17", 0])
|
||
self.assertEqual(result["17"]["inputs"]["string_a"], ["15", 0])
|
||
self.assertEqual(result["17"]["inputs"]["string_b"], ["16", 0])
|
||
|
||
def test_preserves_registered_multi_string_join_subgraph_for_downstream_required_input(self):
|
||
"""Delegate-only master keeps multi-input scalar utility chains."""
|
||
join_string_multi = type(
|
||
"JoinStringMulti",
|
||
(),
|
||
{
|
||
"RETURN_TYPES": ("STRING",),
|
||
"INPUT_TYPES": classmethod(
|
||
lambda cls: {
|
||
"required": {"string_1": ("STRING",)},
|
||
"optional": {
|
||
"string_2": ("STRING",),
|
||
"string_3": ("STRING",),
|
||
},
|
||
}
|
||
),
|
||
},
|
||
)
|
||
save_image = type(
|
||
"SaveImage",
|
||
(),
|
||
{
|
||
"INPUT_TYPES": classmethod(
|
||
lambda cls: {
|
||
"required": {
|
||
"images": ("IMAGE",),
|
||
"filename_prefix": ("STRING",),
|
||
}
|
||
}
|
||
)
|
||
},
|
||
)
|
||
previous_mappings = getattr(pt, "_DELEGATE_MASTER_NODE_CLASS_MAPPINGS", None)
|
||
pt._DELEGATE_MASTER_NODE_CLASS_MAPPINGS = {
|
||
"JoinStringMulti": join_string_multi,
|
||
"SaveImage": save_image,
|
||
}
|
||
try:
|
||
prompt = {
|
||
"8": {"class_type": "KSampler", "inputs": {}},
|
||
"11": {"class_type": "DistributedCollector", "inputs": {"images": ["8", 0]}},
|
||
"15": {"class_type": "PrimitiveString", "inputs": {"value": "test"}},
|
||
"16": {"class_type": "PrimitiveString", "inputs": {"value": "input"}},
|
||
"17": {"class_type": "PrimitiveString", "inputs": {"value": "bug4"}},
|
||
"18": {
|
||
"class_type": "JoinStringMulti",
|
||
"inputs": {
|
||
"string_1": ["15", 0],
|
||
"string_2": ["16", 0],
|
||
"string_3": ["17", 0],
|
||
},
|
||
},
|
||
"9": {
|
||
"class_type": "SaveImage",
|
||
"inputs": {
|
||
"images": ["11", 0],
|
||
"filename_prefix": ["18", 0],
|
||
},
|
||
},
|
||
}
|
||
|
||
result = pt.prepare_delegate_master_prompt(prompt, ["11"])
|
||
finally:
|
||
pt._DELEGATE_MASTER_NODE_CLASS_MAPPINGS = previous_mappings
|
||
|
||
self.assertIn("15", result)
|
||
self.assertIn("16", result)
|
||
self.assertIn("17", result)
|
||
self.assertIn("18", result)
|
||
self.assertEqual(result["9"]["inputs"]["filename_prefix"], ["18", 0])
|
||
|
||
def test_does_not_preserve_scalar_utility_with_heavy_upstream_dependency(self):
|
||
"""Scalar utility nodes are retained only when their full input branch is safe."""
|
||
string_concat = type(
|
||
"StringConcatenate",
|
||
(),
|
||
{
|
||
"RETURN_TYPES": ("STRING",),
|
||
"INPUT_TYPES": classmethod(
|
||
lambda cls: {
|
||
"required": {
|
||
"string_a": ("STRING",),
|
||
"string_b": ("STRING",),
|
||
}
|
||
}
|
||
),
|
||
},
|
||
)
|
||
save_image = type(
|
||
"SaveImage",
|
||
(),
|
||
{
|
||
"INPUT_TYPES": classmethod(
|
||
lambda cls: {
|
||
"required": {
|
||
"images": ("IMAGE",),
|
||
"filename_prefix": ("STRING",),
|
||
}
|
||
}
|
||
)
|
||
},
|
||
)
|
||
previous_mappings = getattr(pt, "_DELEGATE_MASTER_NODE_CLASS_MAPPINGS", None)
|
||
pt._DELEGATE_MASTER_NODE_CLASS_MAPPINGS = {
|
||
"SaveImage": save_image,
|
||
"StringConcatenate": string_concat,
|
||
}
|
||
try:
|
||
prompt = {
|
||
"8": {"class_type": "KSampler", "inputs": {}},
|
||
"11": {"class_type": "DistributedCollector", "inputs": {"images": ["8", 0]}},
|
||
"15": {"class_type": "PrimitiveString", "inputs": {"value": "test"}},
|
||
"17": {
|
||
"class_type": "StringConcatenate",
|
||
"inputs": {
|
||
"string_a": ["15", 0],
|
||
"string_b": ["8", 0],
|
||
},
|
||
},
|
||
"9": {
|
||
"class_type": "SaveImage",
|
||
"inputs": {
|
||
"images": ["11", 0],
|
||
"filename_prefix": ["17", 0],
|
||
},
|
||
},
|
||
}
|
||
|
||
result = pt.prepare_delegate_master_prompt(prompt, ["11"])
|
||
finally:
|
||
pt._DELEGATE_MASTER_NODE_CLASS_MAPPINGS = previous_mappings
|
||
|
||
self.assertNotIn("8", result)
|
||
self.assertNotIn("17", result)
|
||
self.assertNotIn("filename_prefix", result["9"]["inputs"])
|
||
|
||
def test_does_not_preserve_scalar_output_for_non_scalar_downstream_input(self):
|
||
"""Scalar outputs are retained only for scalar/config downstream inputs."""
|
||
string_provider = type("StringProvider", (), {"RETURN_TYPES": ("STRING",)})
|
||
image_consumer = type(
|
||
"ImageConsumer",
|
||
(),
|
||
{
|
||
"INPUT_TYPES": classmethod(
|
||
lambda cls: {
|
||
"required": {
|
||
"images": ("IMAGE",),
|
||
"mask": ("IMAGE",),
|
||
}
|
||
}
|
||
)
|
||
},
|
||
)
|
||
previous_mappings = getattr(pt, "_DELEGATE_MASTER_NODE_CLASS_MAPPINGS", None)
|
||
pt._DELEGATE_MASTER_NODE_CLASS_MAPPINGS = {
|
||
"ImageConsumer": image_consumer,
|
||
"StringProvider": string_provider,
|
||
}
|
||
try:
|
||
prompt = {
|
||
"8": {"class_type": "KSampler", "inputs": {}},
|
||
"11": {"class_type": "DistributedCollector", "inputs": {"images": ["8", 0]}},
|
||
"17": {"class_type": "StringProvider", "inputs": {}},
|
||
"9": {
|
||
"class_type": "ImageConsumer",
|
||
"inputs": {
|
||
"images": ["11", 0],
|
||
"mask": ["17", 0],
|
||
},
|
||
},
|
||
}
|
||
|
||
result = pt.prepare_delegate_master_prompt(prompt, ["11"])
|
||
finally:
|
||
pt._DELEGATE_MASTER_NODE_CLASS_MAPPINGS = previous_mappings
|
||
|
||
self.assertNotIn("17", result)
|
||
self.assertNotIn("mask", result["9"]["inputs"])
|
||
|
||
def test_preserves_scalar_list_join_subgraph_for_downstream_required_input(self):
|
||
"""Delegate-only master keeps list-shaped scalar config chains."""
|
||
create_list = type(
|
||
"CreateList",
|
||
(),
|
||
{
|
||
"RETURN_TYPES": ("LIST",),
|
||
"INPUT_TYPES": classmethod(
|
||
lambda cls: {
|
||
"required": {"inputs.input0": ("STRING",)},
|
||
"optional": {
|
||
"inputs.input1": ("STRING",),
|
||
"inputs.input2": ("STRING",),
|
||
},
|
||
}
|
||
),
|
||
},
|
||
)
|
||
string_data_list_join = type(
|
||
"StringDataListJoin",
|
||
(),
|
||
{
|
||
"RETURN_TYPES": ("STRING",),
|
||
"INPUT_TYPES": classmethod(
|
||
lambda cls: {
|
||
"required": {
|
||
"strings": ("LIST",),
|
||
"delimiter": ("STRING",),
|
||
}
|
||
}
|
||
),
|
||
},
|
||
)
|
||
save_image = type(
|
||
"SaveImage",
|
||
(),
|
||
{
|
||
"INPUT_TYPES": classmethod(
|
||
lambda cls: {
|
||
"required": {
|
||
"images": ("IMAGE",),
|
||
"filename_prefix": ("STRING",),
|
||
}
|
||
}
|
||
)
|
||
},
|
||
)
|
||
previous_mappings = getattr(pt, "_DELEGATE_MASTER_NODE_CLASS_MAPPINGS", None)
|
||
pt._DELEGATE_MASTER_NODE_CLASS_MAPPINGS = {
|
||
"CreateList": create_list,
|
||
"SaveImage": save_image,
|
||
"StringDataListJoin": string_data_list_join,
|
||
}
|
||
try:
|
||
prompt = {
|
||
"8": {"class_type": "KSampler", "inputs": {}},
|
||
"11": {"class_type": "DistributedCollector", "inputs": {"images": ["8", 0]}},
|
||
"15": {"class_type": "PrimitiveString", "inputs": {"value": "test"}},
|
||
"17": {"class_type": "PrimitiveString", "inputs": {"value": "input_bug"}},
|
||
"29": {"class_type": "PrimitiveString", "inputs": {"value": "new"}},
|
||
"28": {
|
||
"class_type": "CreateList",
|
||
"inputs": {
|
||
"inputs.input0": ["15", 0],
|
||
"inputs.input1": ["17", 0],
|
||
"inputs.input2": ["29", 0],
|
||
},
|
||
},
|
||
"32": {
|
||
"class_type": "StringDataListJoin",
|
||
"inputs": {
|
||
"strings": ["28", 0],
|
||
"delimiter": "/",
|
||
},
|
||
},
|
||
"9": {
|
||
"class_type": "SaveImage",
|
||
"inputs": {
|
||
"images": ["11", 0],
|
||
"filename_prefix": ["32", 0],
|
||
},
|
||
},
|
||
}
|
||
|
||
result = pt.prepare_delegate_master_prompt(prompt, ["11"])
|
||
finally:
|
||
pt._DELEGATE_MASTER_NODE_CLASS_MAPPINGS = previous_mappings
|
||
|
||
self.assertIn("15", result)
|
||
self.assertIn("17", result)
|
||
self.assertIn("28", result)
|
||
self.assertIn("29", result)
|
||
self.assertIn("32", result)
|
||
self.assertEqual(result["9"]["inputs"]["filename_prefix"], ["32", 0])
|
||
self.assertEqual(result["32"]["inputs"]["strings"], ["28", 0])
|
||
self.assertEqual(result["28"]["inputs"]["inputs.input0"], ["15", 0])
|
||
self.assertNotIn("8", result)
|
||
|
||
def test_preserves_builtin_create_list_string_data_list_join_subgraph(self):
|
||
"""Delegate-only master handles ComfyUI 0.23 CreateList data-list output."""
|
||
string_data_list_join = type(
|
||
"StringDataListJoin",
|
||
(),
|
||
{
|
||
"RETURN_TYPES": ("STRING",),
|
||
"INPUT_IS_LIST": True,
|
||
"INPUT_TYPES": classmethod(
|
||
lambda cls: {
|
||
"required": {
|
||
"strings": ("STRING", {"forceInput": True}),
|
||
"sep": ("STRING", {"default": " "}),
|
||
}
|
||
}
|
||
),
|
||
},
|
||
)
|
||
save_image = type(
|
||
"SaveImage",
|
||
(),
|
||
{
|
||
"INPUT_TYPES": classmethod(
|
||
lambda cls: {
|
||
"required": {
|
||
"images": ("IMAGE",),
|
||
"filename_prefix": ("STRING",),
|
||
}
|
||
}
|
||
)
|
||
},
|
||
)
|
||
previous_mappings = getattr(pt, "_DELEGATE_MASTER_NODE_CLASS_MAPPINGS", None)
|
||
pt._DELEGATE_MASTER_NODE_CLASS_MAPPINGS = {
|
||
"Basic data handling: StringDataListJoin": string_data_list_join,
|
||
"SaveImage": save_image,
|
||
}
|
||
try:
|
||
prompt = {
|
||
"8": {"class_type": "KSampler", "inputs": {}},
|
||
"11": {"class_type": "DistributedCollector", "inputs": {"images": ["8", 0]}},
|
||
"15": {"class_type": "PrimitiveString", "inputs": {"value": "input_bug"}},
|
||
"17": {"class_type": "PrimitiveString", "inputs": {"value": "test"}},
|
||
"29": {"class_type": "PrimitiveString", "inputs": {"value": "new"}},
|
||
"28": {
|
||
"class_type": "CreateList",
|
||
"inputs": {
|
||
"inputs.input0": ["17", 0],
|
||
"inputs.input1": ["15", 0],
|
||
"inputs.input2": ["29", 0],
|
||
},
|
||
},
|
||
"32": {
|
||
"class_type": "Basic data handling: StringDataListJoin",
|
||
"inputs": {
|
||
"strings": ["28", 0],
|
||
"sep": "/",
|
||
},
|
||
},
|
||
"9": {
|
||
"class_type": "SaveImage",
|
||
"inputs": {
|
||
"images": ["11", 0],
|
||
"filename_prefix": ["32", 0],
|
||
},
|
||
},
|
||
}
|
||
|
||
result = pt.prepare_delegate_master_prompt(prompt, ["11"])
|
||
finally:
|
||
pt._DELEGATE_MASTER_NODE_CLASS_MAPPINGS = previous_mappings
|
||
|
||
for node_id in ("15", "17", "28", "29", "32"):
|
||
self.assertIn(node_id, result)
|
||
self.assertEqual(result["9"]["inputs"]["filename_prefix"], ["32", 0])
|
||
self.assertEqual(result["32"]["inputs"]["strings"], ["28", 0])
|
||
self.assertEqual(result["28"]["inputs"]["inputs.input0"], ["17", 0])
|
||
self.assertNotIn("8", result)
|
||
|
||
def test_result_is_independent_copy(self):
|
||
prompt = _delegate_prompt()
|
||
result = pt.prepare_delegate_master_prompt(prompt, ["3"])
|
||
result["3"]["inputs"]["NEW"] = "injected"
|
||
# Original should be untouched
|
||
self.assertNotIn("NEW", prompt["3"].get("inputs", {}))
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# generate_job_id_map
|
||
# ---------------------------------------------------------------------------
|
||
|
||
class GenerateJobIdMapTests(unittest.TestCase):
|
||
def test_maps_collector_nodes(self):
|
||
prompt = {
|
||
"1": {"class_type": "DistributedCollector", "inputs": {}},
|
||
"2": {"class_type": "KSampler", "inputs": {}},
|
||
}
|
||
idx = pt.PromptIndex(prompt)
|
||
job_map = pt.generate_job_id_map(idx, "prefix")
|
||
self.assertEqual(job_map["1"], "prefix_1")
|
||
self.assertNotIn("2", job_map)
|
||
|
||
def test_maps_upscale_nodes(self):
|
||
prompt = {
|
||
"5": {"class_type": "UltimateSDUpscaleDistributed", "inputs": {}},
|
||
}
|
||
idx = pt.PromptIndex(prompt)
|
||
job_map = pt.generate_job_id_map(idx, "run")
|
||
self.assertEqual(job_map["5"], "run_5")
|
||
|
||
def test_empty_prompt_returns_empty_map(self):
|
||
idx = pt.PromptIndex({})
|
||
self.assertEqual(pt.generate_job_id_map(idx, "prefix"), {})
|
||
|
||
def test_stable_ids_across_calls(self):
|
||
prompt = {"1": {"class_type": "DistributedCollector", "inputs": {}}}
|
||
idx = pt.PromptIndex(prompt)
|
||
m1 = pt.generate_job_id_map(idx, "run")
|
||
m2 = pt.generate_job_id_map(idx, "run")
|
||
self.assertEqual(m1, m2)
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
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# apply_participant_overrides – DistributedCollector
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# ---------------------------------------------------------------------------
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class ApplyOverridesCollectorTests(unittest.TestCase):
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def _collector_prompt(self):
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return {"1": {"class_type": "DistributedCollector", "inputs": {}}}
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def test_worker_sets_is_worker_true(self):
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result = _apply(self._collector_prompt(), "worker-a")
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self.assertTrue(result["1"]["inputs"]["is_worker"])
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def test_worker_sets_master_url(self):
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result = _apply(self._collector_prompt(), "worker-a")
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self.assertEqual(result["1"]["inputs"]["master_url"], "http://master.example.com")
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def test_worker_sets_worker_id(self):
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result = _apply(self._collector_prompt(), "worker-a")
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self.assertEqual(result["1"]["inputs"]["worker_id"], "worker-a")
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|
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def test_worker_sets_delegate_only_false(self):
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result = _apply(self._collector_prompt(), "worker-a")
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self.assertFalse(result["1"]["inputs"]["delegate_only"])
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|
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def test_master_sets_is_worker_false(self):
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result = _apply(self._collector_prompt(), "master")
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self.assertFalse(result["1"]["inputs"]["is_worker"])
|
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|
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def test_master_clears_stale_master_url(self):
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prompt = {"1": {"class_type": "DistributedCollector", "inputs": {"master_url": "stale"}}}
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result = _apply(prompt, "master")
|
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self.assertNotIn("master_url", result["1"]["inputs"])
|
||
|
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def test_master_clears_stale_worker_id(self):
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prompt = {"1": {"class_type": "DistributedCollector", "inputs": {"worker_id": "stale"}}}
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result = _apply(prompt, "master")
|
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self.assertNotIn("worker_id", result["1"]["inputs"])
|
||
|
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def test_master_with_delegate_master_sets_delegate_only_true(self):
|
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result = _apply(self._collector_prompt(), "master", delegate_master=True)
|
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self.assertTrue(result["1"]["inputs"]["delegate_only"])
|
||
|
||
def test_master_without_delegate_master_sets_delegate_only_false(self):
|
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result = _apply(self._collector_prompt(), "master", delegate_master=False)
|
||
self.assertFalse(result["1"]["inputs"]["delegate_only"])
|
||
|
||
def test_enabled_worker_ids_serialized_as_json(self):
|
||
enabled = ["worker-a", "worker-b"]
|
||
result = _apply(self._collector_prompt(), "master", enabled_worker_ids=enabled)
|
||
self.assertEqual(result["1"]["inputs"]["enabled_worker_ids"], json.dumps(enabled))
|
||
|
||
def test_multi_job_id_is_set_from_job_map(self):
|
||
prompt = {"1": {"class_type": "DistributedCollector", "inputs": {}}}
|
||
idx = pt.PromptIndex(prompt)
|
||
job_id_map = {"1": "run_abc_1"}
|
||
result = pt.apply_participant_overrides(
|
||
prompt,
|
||
participant_id="worker-a",
|
||
enabled_worker_ids=["worker-a"],
|
||
job_id_map=job_id_map,
|
||
master_url="http://master",
|
||
delegate_master=False,
|
||
prompt_index=idx,
|
||
)
|
||
self.assertEqual(result["1"]["inputs"]["multi_job_id"], "run_abc_1")
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# apply_participant_overrides – DistributedSeed
|
||
# ---------------------------------------------------------------------------
|
||
|
||
class ApplyOverridesSeedTests(unittest.TestCase):
|
||
def _seed_prompt(self):
|
||
return {"1": {"class_type": "DistributedSeed", "inputs": {}}}
|
||
|
||
def test_worker_sets_is_worker_true(self):
|
||
result = _apply(self._seed_prompt(), "worker-a")
|
||
self.assertTrue(result["1"]["inputs"]["is_worker"])
|
||
|
||
def test_worker_id_reflects_index_in_enabled_list(self):
|
||
result = _apply(self._seed_prompt(), "worker-b", enabled_worker_ids=["worker-a", "worker-b"])
|
||
self.assertEqual(result["1"]["inputs"]["worker_id"], "worker_1")
|
||
|
||
def test_master_sets_is_worker_false(self):
|
||
result = _apply(self._seed_prompt(), "master")
|
||
self.assertFalse(result["1"]["inputs"]["is_worker"])
|
||
|
||
def test_master_sets_empty_worker_id(self):
|
||
result = _apply(self._seed_prompt(), "master")
|
||
self.assertEqual(result["1"]["inputs"]["worker_id"], "")
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# apply_participant_overrides – UltimateSDUpscaleDistributed
|
||
# ---------------------------------------------------------------------------
|
||
|
||
class ApplyOverridesUpscaleTests(unittest.TestCase):
|
||
def _upscale_prompt(self):
|
||
return {"1": {"class_type": "UltimateSDUpscaleDistributed", "inputs": {}}}
|
||
|
||
def test_worker_sets_is_worker_true(self):
|
||
result = _apply(self._upscale_prompt(), "worker-a")
|
||
self.assertTrue(result["1"]["inputs"]["is_worker"])
|
||
|
||
def test_worker_sets_master_url_and_worker_id(self):
|
||
result = _apply(self._upscale_prompt(), "worker-a")
|
||
self.assertEqual(result["1"]["inputs"]["master_url"], "http://master.example.com")
|
||
self.assertEqual(result["1"]["inputs"]["worker_id"], "worker-a")
|
||
|
||
def test_master_clears_master_url_and_worker_id(self):
|
||
prompt = {"1": {"class_type": "UltimateSDUpscaleDistributed", "inputs": {"master_url": "x", "worker_id": "y"}}}
|
||
result = _apply(prompt, "master")
|
||
self.assertNotIn("master_url", result["1"]["inputs"])
|
||
self.assertNotIn("worker_id", result["1"]["inputs"])
|
||
|
||
def test_collector_downstream_of_upscale_gets_pass_through(self):
|
||
"""A DistributedCollector that is downstream of UltimateSDUpscaleDistributed → pass_through=True."""
|
||
prompt = {
|
||
"1": {"class_type": "UltimateSDUpscaleDistributed", "inputs": {}},
|
||
"2": {"class_type": "DistributedCollector", "inputs": {"images": ["1", 0]}},
|
||
}
|
||
result = _apply(prompt, "worker-a", enabled_worker_ids=["worker-a"])
|
||
self.assertTrue(result["2"]["inputs"].get("pass_through"))
|
||
|
||
|
||
# ---------------------------------------------------------------------------
|
||
# apply_participant_overrides – DistributedValue
|
||
# ---------------------------------------------------------------------------
|
||
|
||
class ApplyOverridesValueTests(unittest.TestCase):
|
||
def _value_prompt(self):
|
||
return {"1": {"class_type": "DistributedValue", "inputs": {}}}
|
||
|
||
def test_worker_sets_is_worker_true(self):
|
||
result = _apply(self._value_prompt(), "worker-a")
|
||
self.assertTrue(result["1"]["inputs"]["is_worker"])
|
||
|
||
def test_worker_id_reflects_index_in_enabled_list(self):
|
||
result = _apply(self._value_prompt(), "worker-b", enabled_worker_ids=["worker-a", "worker-b"])
|
||
self.assertEqual(result["1"]["inputs"]["worker_id"], "worker_1")
|
||
|
||
def test_master_sets_is_worker_false(self):
|
||
result = _apply(self._value_prompt(), "master")
|
||
self.assertFalse(result["1"]["inputs"]["is_worker"])
|
||
|
||
def test_master_sets_empty_worker_id(self):
|
||
result = _apply(self._value_prompt(), "master")
|
||
self.assertEqual(result["1"]["inputs"]["worker_id"], "")
|
||
|
||
|
||
if __name__ == "__main__":
|
||
unittest.main()
|