Extract row prompt axes policy

This commit is contained in:
2026-06-27 09:57:02 +02:00
parent f7164480df
commit a7e1a37ad8
5 changed files with 322 additions and 67 deletions
+135
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@@ -0,0 +1,135 @@
from __future__ import annotations
from typing import Any
try:
from . import category_library as category_policy
from . import row_expression as row_expression_policy
from . import row_item as row_item_policy
from . import row_pools as row_pool_policy
from . import pov_policy
from .hardcore_text_cleanup import sanitize_hardcore_environment_anchors
except ImportError: # Allows local smoke tests from the repository root.
import category_library as category_policy
import row_expression as row_expression_policy
import row_item as row_item_policy
import row_pools as row_pool_policy
import pov_policy
from hardcore_text_cleanup import sanitize_hardcore_environment_anchors
def resolve_prompt_axes(
*,
category: dict[str, Any],
subcategory: dict[str, Any],
item: Any,
subject_type: str,
context: dict[str, Any],
poses: str,
women_count: int,
men_count: int,
scene_rng: Any,
pose_rng: Any,
expression_rng: Any,
composition_rng: Any,
expression_disabled: bool,
expression_intensity: float,
character_slots: list[dict[str, Any]] | None = None,
character_slot_map: dict[str, dict[str, Any]] | None = None,
expression_phase: str = "",
source_role_graph: Any = "",
item_axis_values: dict[str, Any] | None = None,
is_pose_category: bool = False,
pov_character_labels: list[str] | None = None,
location_config: dict[str, Any] | None = None,
composition_config: dict[str, Any] | None = None,
) -> dict[str, Any]:
character_slots = character_slots or []
character_slot_map = character_slot_map or {}
pov_character_labels = pov_character_labels or []
scene_slug, scene = row_item_policy.choose_pair(
scene_rng,
category_policy.compatible_entries(
row_pool_policy.scene_pool(category, subcategory, item, subject_type, location_config),
women_count,
men_count,
),
)
pose = str(
category_policy.merged_field(category, subcategory, item, "pose", "")
or context.get("fallback_pose")
or row_item_policy.choose_text(
pose_rng,
category_policy.compatible_entries(
row_pool_policy.pose_pool(category, subcategory, item, subject_type, poses),
women_count,
men_count,
),
)
)
if is_pose_category:
pose = sanitize_hardcore_environment_anchors(pose)
expression_pool = row_pool_policy.expression_pool(category, subcategory, item)
if expression_disabled:
expression = ""
else:
expression_entries = category_policy.compatible_entries(
row_expression_policy.expression_entries_for_intensity(expression_pool, expression_intensity),
women_count,
men_count,
)
expression = row_item_policy.choose_text(expression_rng, expression_entries)
if subject_type in ("couple", "group") and ";" not in expression:
secondary_expression = row_item_policy.choose_distinct_text(expression_rng, expression_entries, expression)
if secondary_expression:
expression = f"{expression}; {secondary_expression}"
shared_expression = expression
character_expressions: list[str] = []
character_expression_text = ""
if not expression_disabled and subject_type == "configured_cast" and character_slots:
character_expressions = row_expression_policy.character_expression_entries(
expression_rng,
expression_pool,
expression_intensity,
character_slot_map,
women_count,
men_count,
expression_phase,
)
character_expression_text = "; ".join(character_expressions)
character_expression_text = row_expression_policy.sanitize_character_expression_text_for_action(
character_expression_text,
source_role_graph,
item,
item_axis_values or {},
)
character_expressions = [part.strip() for part in character_expression_text.split(";") if part.strip()]
if character_expression_text:
expression = character_expression_text
source_composition = row_item_policy.choose_text(
composition_rng,
category_policy.compatible_entries(
row_pool_policy.composition_pool(category, subcategory, item, subject_type, composition_config),
women_count,
men_count,
),
)
if is_pose_category:
source_composition = sanitize_hardcore_environment_anchors(source_composition)
composition = pov_policy.pov_composition_prompt(source_composition, pov_character_labels)
return {
"scene_slug": scene_slug,
"scene": scene,
"pose": pose,
"expression": expression,
"shared_expression": shared_expression,
"character_expressions": character_expressions,
"character_expression_text": character_expression_text,
"source_composition": source_composition,
"composition": composition,
}