""" Pytest configuration for standalone testing outside ComfyUI. The custom node's __init__.py requires ComfyUI internals (server, folder_paths, torch, etc.) that are not available in a plain Python environment. We stub those out here so pytest can collect and run unit tests without ComfyUI. """ import sys import types import os # ── Stub out ComfyUI-only modules before any test or __init__.py import ────── _COMFY_STUBS = [ "server", "folder_paths", "nodes", "torch", "aiohttp", "aiohttp.web", "comfy", "comfy.utils", "comfy.sd", "comfy.model_management", "comfy.samplers", ] for _mod_name in _COMFY_STUBS: if _mod_name not in sys.modules: _stub = types.ModuleType(_mod_name) # aiohttp.web needs a minimal RouteTableDef stub used by distribution_routes if _mod_name == "aiohttp.web": class _RouteTableDef: # noqa: N801 def get(self, *a, **kw): return lambda fn: fn def post(self, *a, **kw): return lambda fn: fn def delete(self, *a, **kw): return lambda fn: fn def put(self, *a, **kw): return lambda fn: fn _stub.RouteTableDef = _RouteTableDef # comfy.samplers needs KSampler with SCHEDULERS and SAMPLERS lists if _mod_name == "comfy.samplers": class _KSampler: # noqa: N801 SCHEDULERS = ["normal", "karras", "exponential", "sgm_uniform", "simple", "ddim_uniform"] SAMPLERS = ["euler", "euler_ancestral", "heun", "dpm_2", "dpm_2_ancestral", "lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_sde", "dpmpp_2m", "dpmpp_2m_sde", "ddim", "uni_pc", "uni_pc_bh2"] _stub.KSampler = _KSampler sys.modules[_mod_name] = _stub # Wire comfy.samplers as an attribute of the comfy stub so # `import comfy.samplers` and `comfy.samplers.KSampler` both resolve if hasattr(sys.modules.get("comfy"), "__name__"): sys.modules["comfy"].samplers = sys.modules["comfy.samplers"] # comfy.model_management needs InterruptProcessingException for generation_orchestrator if "comfy.model_management" in sys.modules: if not hasattr(sys.modules["comfy.model_management"], "InterruptProcessingException"): sys.modules["comfy.model_management"].InterruptProcessingException = type( "InterruptProcessingException", (Exception,), {} ) # Ensure the custom node root is on sys.path so `ltx_video_generation` is importable _NODE_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) if _NODE_ROOT not in sys.path: sys.path.insert(0, _NODE_ROOT) # ── Package stub so generation_orchestrator's relative imports resolve ──────── # generation_orchestrator.py uses `from .trigger_words import ...` etc. # When imported as a top-level module (sys.path.insert approach), relative # imports fail unless we set up a minimal package context in sys.modules. _PKG_NAME = os.path.basename(_NODE_ROOT) if _PKG_NAME not in sys.modules: _pkg = types.ModuleType(_PKG_NAME) _pkg.__path__ = [_NODE_ROOT] _pkg.__package__ = _PKG_NAME sys.modules[_PKG_NAME] = _pkg # Stub the sub-modules that generation_orchestrator imports via relative paths _GEN_ORCH_DEPS = { "trigger_words": { "collect_unique_prompts_with_triggers": lambda *a, **kw: [], "build_prompt_with_triggers": lambda *a, **kw: ("", ""), "clear_trigger_caches": lambda *a, **kw: None, }, "batch_encoding": { "batch_encode_prompts": lambda *a, **kw: None, "encode_prompt_with_combinators": lambda *a, **kw: None, }, "manifest_utils": { "load_existing_manifest": lambda *a, **kw: {}, "save_manifest": lambda *a, **kw: None, }, "model_loader": { "load_checkpoint": lambda *a, **kw: None, "load_loras": lambda *a, **kw: None, "cleanup_model_references": lambda *a, **kw: None, "get_latent_channels": lambda *a, **kw: 4, "load_loras_for_preencoding": lambda *a, **kw: None, "print_incompatible_loras_summary": lambda *a, **kw: None, "load_diffusion_model_and_clip": lambda *a, **kw: (None, None), "load_vae_by_name": lambda *a, **kw: None, }, "lora_utils": { "expand_lora_folder": lambda *a, **kw: [], }, "image_generation": { "generate_image": lambda *a, **kw: None, "flush_batch_with_vae": lambda *a, **kw: None, "flush_batch_with_remote_vae": lambda *a, **kw: None, "create_image_metadata": lambda *a, **kw: {}, "decode_latent_with_vae": lambda *a, **kw: None, "calculate_eta": lambda *a, **kw: 0.0, "print_generation_progress": lambda *a, **kw: None, }, "html_generator": { "get_html_template": lambda *a, **kw: "", }, "conditioning_cache": { "ConditioningCache": type("ConditioningCache", (), {}), }, "remote_vae": { "RemoteVAEDecodeWorker": type("RemoteVAEDecodeWorker", (), {}), "HF_ENDPOINTS": {}, }, } for _bare, _attrs in _GEN_ORCH_DEPS.items(): _fq = f"{_PKG_NAME}.{_bare}" if _bare not in sys.modules: _s = types.ModuleType(_bare) sys.modules[_bare] = _s if _fq not in sys.modules: sys.modules[_fq] = sys.modules[_bare] for _k, _v in _attrs.items(): setattr(sys.modules[_bare], _k, _v) setattr(sys.modules[_fq], _k, _v) # Also wire as package attribute setattr(sys.modules[_PKG_NAME], _bare, sys.modules[_bare]) # Pre-load generation_orchestrator as part of the package so that relative # imports (`from .trigger_words import ...`) resolve correctly. Once loaded # under the package name it is also registered as a top-level alias so # `from generation_orchestrator import get_model_cache_key` works. import importlib.util as _ilu _GO_PATH = os.path.join(_NODE_ROOT, "generation_orchestrator.py") _GO_FQ = f"{_PKG_NAME}.generation_orchestrator" if "generation_orchestrator" not in sys.modules: _spec = _ilu.spec_from_file_location(_GO_FQ, _GO_PATH, submodule_search_locations=[]) _spec.submodule_search_locations = None # it is a module, not a package _go_mod = _ilu.module_from_spec(_spec) _go_mod.__package__ = _PKG_NAME sys.modules[_GO_FQ] = _go_mod sys.modules["generation_orchestrator"] = _go_mod _spec.loader.exec_module(_go_mod)