Antonio Cordero Balcazar
3a2571c008
* Added input variables `_input_prev_pos_prompt` and `_input_prev_neg_prompt` for hiresfix phase of A1111 compatible hosts.
359 lines
15 KiB
Python
359 lines
15 KiB
Python
from dataclasses import replace
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import difflib
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import logging
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from pathlib import Path
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from typing import Any, NamedTuple, Optional
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import unittest
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import datetime
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from ppp_classes import IFWILDCARDS_CHOICES, ONWARNING_CHOICES, PPPStateOptions
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from ppp_enmappings import PPPExtraNetworkMappings # type: ignore
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from ppp_wildcards import PPPWildcards # type: ignore
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from ppp import PromptPostProcessor # type: ignore
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from ppp_logging import DEBUG_LEVEL, PromptPostProcessorLogFactory # type: ignore
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from ppp_common import load_grammar # type: ignore
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class InputTuple(NamedTuple):
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prompt: str = ""
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negative_prompt: str = ""
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class OutputTuple(NamedTuple):
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prompt: str = ""
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negative_prompt: str = ""
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variables: dict[str, Any] = None
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class TestPromptPostProcessorBase(unittest.TestCase):
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"""
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A test case class for testing the PromptPostProcessor class.
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"""
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def setUp(self, enable_file_logging=False):
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"""
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Set up the test case by initializing the necessary objects and configurations.
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Args:
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enable_file_logging (bool): Whether to enable logging to a file. Defaults to True.
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"""
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self.enable_file_logging = enable_file_logging
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test_name = self.id().split(".")[-1] # Extract the test method name
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timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
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if self.enable_file_logging:
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log_filename = f"tests/logs/{test_name}_{timestamp}.log"
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else:
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log_filename = None # Disable file logging
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self.lf = PromptPostProcessorLogFactory(log_filename)
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self.ppp_logger = self.lf.log
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self.ppp_logger.setLevel(logging.DEBUG)
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self.grammar_content = None
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self.defopts = PPPStateOptions(
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debug_level=DEBUG_LEVEL.full,
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on_warning=ONWARNING_CHOICES.stop,
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strict_operators=True,
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process_wildcards=True,
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if_wildcards=IFWILDCARDS_CHOICES.stop,
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choice_separator=", ",
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keep_choices_order=False,
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stn_separator=", ",
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stn_ignore_repeats=True,
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cup_do_cleanup=True,
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cup_cleanup_variables=True,
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cup_empty_constructs=True,
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cup_extra_separators=True,
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cup_extra_separators2=True,
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cup_extra_separators_include_eol=False,
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cup_extra_spaces=True,
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cup_breaks=True,
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cup_breaks_eol=False,
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cup_ands=True,
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cup_ands_eol=False,
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cup_extranetwork_tags=True,
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cup_merge_attention=True,
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cup_remove_extranetwork_tags=False,
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do_combinatorial=False,
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combinatorial_shuffle=False,
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combinatorial_limit=0,
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results_file=(Path(__file__).parent / "logs" / "output_%date%.txt") if enable_file_logging else "",
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)
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self.def_env_info = {
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"app": "tests",
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"ppp_config": None,
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"model_class": "SDXL",
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"property_base": {"is_sdxl": True},
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"models_path": "./webui/models",
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"model_filename": "./webui/models/Stable-diffusion/testmodel.safetensors",
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}
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self.interrupted = False
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self.wildcards_obj = PPPWildcards(self.lf.log)
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self.extranetwork_maps_obj = PPPExtraNetworkMappings(self.lf.log)
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tests_folder = Path(__file__).parent
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self.wildcards_obj.refresh_wildcards(
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DEBUG_LEVEL.full,
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[
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tests_folder / "wildcards",
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tests_folder / "wildcards2",
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],
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"""
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yaml_input:
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wildcardI:
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- choice1
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- choice2
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- choice3
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""",
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)
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self.extranetwork_maps_obj.refresh_extranetwork_mappings(
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DEBUG_LEVEL.full,
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[tests_folder / "enmappings"],
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"""
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""",
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)
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self.grammar_content = load_grammar()
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def interrupt(self):
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self.interrupted = True
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def init_ppp(
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self,
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ppp: Optional[str | PromptPostProcessor] = None,
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combinatorial: bool = False,
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combinatorial_limit: int = 0,
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) -> PromptPostProcessor:
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if isinstance(ppp, str):
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if ppp == "nocup":
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the_obj = PromptPostProcessor(
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self.ppp_logger,
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self.def_env_info,
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replace(
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self.defopts,
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cup_do_cleanup=False,
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cup_cleanup_variables=False,
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cup_empty_constructs=False,
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cup_extra_separators=False,
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cup_extra_separators2=False,
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cup_extra_separators_include_eol=False,
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cup_extra_spaces=False,
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cup_breaks=False,
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cup_breaks_eol=False,
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cup_ands=False,
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cup_ands_eol=False,
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cup_extranetwork_tags=False,
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cup_merge_attention=False,
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do_combinatorial=combinatorial,
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combinatorial_limit=combinatorial_limit,
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),
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self.grammar_content,
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self.interrupt,
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self.wildcards_obj,
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self.extranetwork_maps_obj,
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)
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elif ppp == "nostrict":
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the_obj = PromptPostProcessor(
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self.ppp_logger,
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self.def_env_info,
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replace(
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self.defopts,
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strict_operators=False,
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do_combinatorial=combinatorial,
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combinatorial_limit=combinatorial_limit,
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),
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self.grammar_content,
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self.interrupt,
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self.wildcards_obj,
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self.extranetwork_maps_obj,
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)
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else:
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the_obj = ppp
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if not the_obj:
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the_obj = PromptPostProcessor(
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self.ppp_logger,
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self.def_env_info,
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replace(
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self.defopts,
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do_combinatorial=combinatorial,
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combinatorial_limit=combinatorial_limit,
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),
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self.grammar_content,
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self.interrupt,
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self.wildcards_obj,
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self.extranetwork_maps_obj,
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)
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return the_obj
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def _comp_diff(self, result: str, expected: str) -> list[str]:
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return list(
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difflib.ndiff(
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result.splitlines(True),
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expected.splitlines(True),
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linejunk=None,
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charjunk=None,
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)
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)
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def process(
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self,
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input_prompts: InputTuple,
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expected_output: Optional[OutputTuple | list[OutputTuple]] = None,
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seed: int = 1,
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ppp: Optional[str | PromptPostProcessor] = None,
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interrupted: bool = False,
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combinatorial: bool = False,
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combinatorial_limit: int = 0,
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specific_wc_folders: Optional[list[Path]] = None,
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specific_em_folders: Optional[list[Path]] = None,
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input_vars: Optional[dict[str, Any]] = None,
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):
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"""
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Process the prompt and compare the results with the expected prompts.
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Args:
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input_prompts (InputTuple): The input prompts.
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expected_output (OutputTuple | list[OutputTuple], optional): The expected output. When a list is provided, the test will run once for each expected output, using the same input prompt, but seed will be incremented for each iteration.
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seed (int, optional): The seed value. Defaults to 1.
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ppp (Optional[str | PromptPostProcessor], optional): The PromptPostProcessor instance or type. Defaults to None.
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interrupted (bool, optional): The interrupted flag. Defaults to False.
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combinatorial (bool, optional): The combinatorial flag. Defaults to False.
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combinatorial_limit (int, optional): The combinatorial limit. Defaults to 0.
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specific_wc_folders (Optional[list[Path]], optional): A list of specific wildcard folders to refresh. Defaults to None.
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specific_em_folders (Optional[list[Path]], optional): A list of specific extranetwork mapping folders to refresh. Defaults to None.
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input_vars (Optional[dict[str, Any]], optional): A dictionary of input variables. Defaults to None.
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Returns:
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None
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"""
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if specific_wc_folders is not None:
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self.wildcards_obj.refresh_wildcards(
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DEBUG_LEVEL.full,
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specific_wc_folders,
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)
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if specific_em_folders is not None:
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self.extranetwork_maps_obj.refresh_extranetwork_mappings(
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DEBUG_LEVEL.full,
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specific_em_folders,
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)
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the_obj: PromptPostProcessor = self.init_ppp(ppp, combinatorial, combinatorial_limit)
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out = (
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[OutputTuple("", "", None)]
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if expected_output is None
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else expected_output if isinstance(expected_output, list) else [expected_output]
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)
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if the_obj.state.options.do_combinatorial:
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# combinatorial
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errors = []
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the_obj.process_prompts_group_start()
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result = the_obj.process_prompt(
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input_prompts.prompt,
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input_prompts.negative_prompt,
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seed,
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jobinfo={"test_case": self.id()},
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input_vars=input_vars,
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)
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the_obj.process_prompts_group_end()
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self.assertTrue(
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self.interrupted == interrupted,
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f"Interrupted flag is incorrect: got {self.interrupted} but expected {interrupted}",
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)
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if not self.interrupted and expected_output is not None:
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if len(result) != len(out):
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errors.append(f"Incorrect number of combinations: got {len(result)} but expected {len(out)}")
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for out_prompt, out_negative_prompt, out_variables in out:
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found = None
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for r_prompt, r_negative_prompt, r_variables in result:
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if r_prompt == out_prompt and r_negative_prompt == out_negative_prompt:
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found = OutputTuple(r_prompt, r_negative_prompt, r_variables)
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break
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if not found:
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errors.extend(
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[
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"Combination not found in output",
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"Prompt:",
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out_prompt,
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"Negative Prompt:",
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out_negative_prompt,
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]
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)
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elif out_variables:
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missing_vars = {}
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incorrect_vars = {}
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expected_values = {}
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sorted_var_keys = sorted(out_variables.keys())
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for var_name in sorted_var_keys:
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var_value = out_variables[var_name]
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if var_name not in found.variables:
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missing_vars[var_name] = var_value
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elif found.variables[var_name] != var_value:
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incorrect_vars[var_name] = found.variables[var_name]
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expected_values[var_name] = var_value
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if missing_vars or incorrect_vars:
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errors.extend(
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[
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"Combination found, but variables do not match",
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"Prompt:",
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out_prompt,
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"Negative Prompt:",
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out_negative_prompt,
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]
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)
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if missing_vars:
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errors.append("Missing variables:")
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errors.append(str(missing_vars))
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if incorrect_vars:
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errors.append("Incorrect variables:")
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errors.extend(self._comp_diff(str(incorrect_vars), str(expected_values)))
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if errors:
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raise AssertionError("\n".join(errors))
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return
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# non-combinatorial
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errors = []
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the_obj.process_prompts_group_start()
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for eo in out:
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result = the_obj.process_prompt(
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input_prompts.prompt,
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input_prompts.negative_prompt,
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seed,
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jobinfo={"test_case": self.id()},
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input_vars=input_vars,
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)
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self.assertTrue(
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self.interrupted == interrupted,
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f"Interrupted flag is incorrect: got {self.interrupted} but expected {interrupted}",
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)
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if not self.interrupted and expected_output is not None:
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result_prompt, result_negative_prompt, output_variables = result[0] if result else (None, None, None)
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if result_prompt != eo.prompt or result_negative_prompt != eo.negative_prompt:
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errors.append("Incorrect result")
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if result_prompt != eo.prompt:
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errors.append("Prompt:")
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errors.extend(self._comp_diff(result_prompt, eo.prompt))
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if result_negative_prompt != eo.negative_prompt:
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errors.append("Negative Prompt:")
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errors.extend(self._comp_diff(result_negative_prompt, eo.negative_prompt))
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if eo.variables:
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missing_vars = {}
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incorrect_vars = {}
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expected_values = {}
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sorted_var_keys = sorted(eo.variables.keys())
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for var_name in sorted_var_keys:
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var_value = eo.variables[var_name]
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if var_name not in output_variables:
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missing_vars[var_name] = var_value
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elif output_variables[var_name] != var_value:
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incorrect_vars[var_name] = output_variables[var_name]
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expected_values[var_name] = var_value
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if missing_vars or incorrect_vars:
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errors.append("Variables do not match")
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if missing_vars:
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errors.append("Missing variables:")
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errors.append(str(missing_vars))
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if incorrect_vars:
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errors.append("Incorrect variables:")
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errors.extend(self._comp_diff(str(incorrect_vars), str(expected_values)))
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seed += 1
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the_obj.process_prompts_group_end()
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if errors:
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raise AssertionError("\n".join(errors))
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