152 lines
4.6 KiB
Python
152 lines
4.6 KiB
Python
from __future__ import annotations
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import re
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from typing import Any
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try:
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from . import formatter_detail as detail_policy
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from . import formatter_input as input_policy
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from . import route_metadata as route_metadata_policy
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except ImportError: # Allows local smoke tests with `python tools/prompt_smoke.py`.
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import formatter_detail as detail_policy
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import formatter_input as input_policy
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import route_metadata as route_metadata_policy
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OLD_TRIGGER = "sxcpinup_coloredpencil"
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DEFAULT_TRIGGER = "sxcppnl7"
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DETAIL_LEVELS = detail_policy.DETAIL_LEVELS
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STYLE_POLICIES = ("drop_style_tail", "keep_style_terms")
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CAPTION_PROFILE_DEFAULT = "manual_controls"
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CAPTION_PROFILES = {
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"manual_controls": {},
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"training_concise": {
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"detail_level": "concise",
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"style_policy": "drop_style_tail",
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"include_trigger": True,
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},
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"training_dense": {
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"detail_level": "dense",
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"style_policy": "drop_style_tail",
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"include_trigger": True,
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},
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"browsing": {
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"detail_level": "balanced",
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"style_policy": "keep_style_terms",
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"include_trigger": False,
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},
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}
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STYLE_TAILS = [
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", coloured pencil comic illustration, crisp linework, hatching, soft pastel palette, warm sensual lighting, textured parchment paper",
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", coloured pencil comic illustration, crisp linework, hatching, soft pastel palette, warm sensual lighting, textured paper",
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]
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ITEM_LABELS = (
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"Sexual pose",
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"Erotic outfit",
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"Clothing",
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)
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ACTION_FAMILY_CAPTION_LABELS = {
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"foreplay": "foreplay action",
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"outercourse": "non-penetrative action",
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"oral": "oral action",
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"penetration": "penetrative action",
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"toy_double": "toy-assisted double-contact action",
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"climax": "climax action",
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}
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POSITION_FAMILY_CAPTION_LABELS = {
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"penetrative": "penetrative action",
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"foreplay": "foreplay action",
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"interaction": "interaction beat",
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"manual": "manual action",
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"oral": "oral action",
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"outercourse": "non-penetrative action",
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"anal": "anal action",
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"climax": "climax action",
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"threesome": "three-person action",
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"group": "group action",
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}
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def normalize_detail_level(value: str) -> str:
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return detail_policy.normalize_detail_level(value)
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def _choice_key(value: Any) -> str:
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return str(value or "").strip().lower().replace("-", "_").replace(" ", "_")
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def normalize_style_policy(value: str) -> str:
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value = _choice_key(value)
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return value if value in STYLE_POLICIES else "drop_style_tail"
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def style_policy_choices() -> list[str]:
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return list(STYLE_POLICIES)
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def caption_profile_choices() -> list[str]:
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return list(CAPTION_PROFILES)
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def normalize_caption_profile(value: str) -> str:
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value = _choice_key(value)
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return value if value in CAPTION_PROFILES else CAPTION_PROFILE_DEFAULT
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def apply_caption_profile(
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caption_profile: str,
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*,
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detail_level: str,
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style_policy: str,
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include_trigger: bool,
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) -> tuple[str, str, bool]:
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profile = CAPTION_PROFILES[normalize_caption_profile(caption_profile)]
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return (
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normalize_detail_level(profile.get("detail_level", detail_level)),
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normalize_style_policy(profile.get("style_policy", style_policy)),
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bool(profile.get("include_trigger", include_trigger)),
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)
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def keep_style_terms(style_policy: str) -> bool:
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return normalize_style_policy(style_policy) == "keep_style_terms"
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def detail_allows(level: str, dense_only: bool = False) -> bool:
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return detail_policy.detail_allows(level, dense_only=dense_only)
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def strip_style_tail(text: str) -> str:
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text = input_policy.clean_text(text)
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for tail in STYLE_TAILS:
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if text.endswith(tail):
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return text[: -len(tail)].strip(" ,")
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return text
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def metadata_action_label(row: dict[str, Any], default: str = "sexual pose") -> str:
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position_family = route_metadata_policy.row_position_family(row)
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if position_family in POSITION_FAMILY_CAPTION_LABELS:
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return POSITION_FAMILY_CAPTION_LABELS[position_family]
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action_family = route_metadata_policy.row_action_family(row)
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if action_family in ACTION_FAMILY_CAPTION_LABELS:
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return ACTION_FAMILY_CAPTION_LABELS[action_family]
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return default
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def normalize_composition(text: str) -> str:
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return re.sub(r"^vertical\s+", "", input_policy.clean_text(text), flags=re.IGNORECASE)
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def clean_clothing(text: str) -> str:
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text = input_policy.clean_text(text)
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text = re.sub(r",?\s*fashion editorial styling$", "", text, flags=re.IGNORECASE)
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text = re.sub(r",?\s*resort styling$", "", text, flags=re.IGNORECASE)
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return text.strip(" ,")
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