mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-09-20 18:51:26 -03:00
143 lines
4.8 KiB
Python
143 lines
4.8 KiB
Python
"""Tests for the shared download routing decision."""
|
|
|
|
import pytest
|
|
|
|
from py.services.download_routing import is_diffusion_model_download
|
|
|
|
|
|
@pytest.mark.parametrize("file_type", ["UNet", "Diffusion Model"])
|
|
def test_file_type_signal_routes_to_unet(file_type):
|
|
assert is_diffusion_model_download(
|
|
"checkpoint", file_types=[file_type], base_model="SDXL 1.0"
|
|
)
|
|
|
|
|
|
def test_base_model_fallback_routes_to_unet():
|
|
"""The reported Anima case: file type is plain "Model", but the
|
|
baseModel is a known diffusion model."""
|
|
assert is_diffusion_model_download(
|
|
"checkpoint", file_types=["Model"], base_model="Anima"
|
|
)
|
|
|
|
|
|
def test_regular_checkpoint_stays_on_checkpoint_roots():
|
|
assert not is_diffusion_model_download(
|
|
"checkpoint", file_types=["Model"], base_model="SDXL 1.0"
|
|
)
|
|
|
|
|
|
def test_non_checkpoint_types_never_route_to_unet():
|
|
assert not is_diffusion_model_download(
|
|
"lora", file_types=["UNet"], base_model="Anima"
|
|
)
|
|
assert not is_diffusion_model_download(
|
|
"embedding", file_types=["Diffusion Model"], base_model="Anima"
|
|
)
|
|
|
|
|
|
def test_empty_inputs_stay_on_checkpoint_roots():
|
|
assert not is_diffusion_model_download("checkpoint")
|
|
assert not is_diffusion_model_download("checkpoint", file_types=[], base_model="")
|
|
|
|
|
|
from py.services.download_routing import resolve_other_download_sub_type
|
|
|
|
|
|
class TestResolveOtherDownloadSubType:
|
|
"""Fixed priority: explicit file pick > model.type > file.type fallback."""
|
|
|
|
def test_explicit_file_pick_wins_over_model_type(self):
|
|
"""User explicitly picked a VAE component file of a Checkpoint model —
|
|
the picked file type wins."""
|
|
assert (
|
|
resolve_other_download_sub_type(
|
|
"Checkpoint", file_types=["Model", "VAE"], selected_file_type="VAE"
|
|
)
|
|
== "vae"
|
|
)
|
|
|
|
@pytest.mark.parametrize(
|
|
"selected,expected",
|
|
[
|
|
("VAE", "vae"),
|
|
("Upscaler", "upscaler"),
|
|
("Text Encoder", "text_encoder"),
|
|
("Vision Encoder", "clip_vision"),
|
|
("CLIPVision", "clip_vision"),
|
|
("ControlNet", "controlnet"),
|
|
],
|
|
)
|
|
def test_explicit_file_pick_maps_all_known_types(self, selected, expected):
|
|
assert (
|
|
resolve_other_download_sub_type("Other", selected_file_type=selected)
|
|
== expected
|
|
)
|
|
|
|
@pytest.mark.parametrize(
|
|
"model_type,expected",
|
|
[
|
|
("VAE", "vae"),
|
|
("Upscaler", "upscaler"),
|
|
("TextEncoder", "text_encoder"),
|
|
("CLIP", "text_encoder"),
|
|
("CLIPVision", "clip_vision"),
|
|
("Controlnet", "controlnet"),
|
|
],
|
|
)
|
|
def test_model_type_mapping(self, model_type, expected):
|
|
assert resolve_other_download_sub_type(model_type) == expected
|
|
|
|
def test_model_type_beats_unmappable_file_pick(self):
|
|
"""An explicit pick whose file type does not map (e.g. plain 'Model')
|
|
falls through to model.type."""
|
|
assert (
|
|
resolve_other_download_sub_type(
|
|
"TextEncoder", selected_file_type="Model"
|
|
)
|
|
== "text_encoder"
|
|
)
|
|
|
|
def test_bundled_component_files_never_override_model_type(self):
|
|
"""Anti-misrouting: a TextEncoder model bundling a VAE component file
|
|
must stay text_encoder — file types are a fallback, not an override."""
|
|
assert (
|
|
resolve_other_download_sub_type(
|
|
"TextEncoder", file_types=["Model", "VAE"]
|
|
)
|
|
== "text_encoder"
|
|
)
|
|
assert (
|
|
resolve_other_download_sub_type(
|
|
"Controlnet", file_types=["Model", "Text Encoder"]
|
|
)
|
|
== "controlnet"
|
|
)
|
|
|
|
def test_file_type_fallback_when_model_type_unmapped(self):
|
|
"""model.type 'Other' (or retired values) maps to nothing, so the
|
|
first mappable file type decides."""
|
|
assert (
|
|
resolve_other_download_sub_type("Other", file_types=["Model", "Upscaler"])
|
|
== "upscaler"
|
|
)
|
|
|
|
def test_file_type_fallback_for_civarchive_payload(self):
|
|
"""CivArchive-shaped payload: same fields, same decision path."""
|
|
assert (
|
|
resolve_other_download_sub_type(
|
|
"Other",
|
|
file_types=["Config", "Text Encoder"],
|
|
)
|
|
== "text_encoder"
|
|
)
|
|
|
|
@pytest.mark.parametrize("model_type", ["Other", "", "SomethingNew"])
|
|
def test_undecidable_returns_none(self, model_type):
|
|
assert (
|
|
resolve_other_download_sub_type(model_type, file_types=["Model"]) is None
|
|
)
|
|
assert resolve_other_download_sub_type(model_type) is None
|
|
|
|
def test_model_type_matching_is_case_insensitive(self):
|
|
assert resolve_other_download_sub_type("vAe") == "vae"
|