"""Hero (lead-story) emotional-safety guardrail.

The single most prominent thing on the page must feel safe to encounter before
coffee. A story can be objectively hopeful — a cancer breakthrough, say — and
still be personally painful to meet unprompted at the top of the page.

So the lead is chosen with a STRICTER filter than the rest of the brief: it must
be very calm and must not mention grief/medical/violence terms. Such stories are
still welcome among the five — they just don't lead by default. Per-user
avoid-terms are applied to the brief before this runs, so a reader's personal
boundaries always take precedence.
"""

from __future__ import annotations

from .filters import text_matches_avoid_terms

# Terms too emotionally charged to lead with, even inside a constructive story.
HERO_GUARD_TERMS = [
    "cancer", "glioblastoma", "tumor", "tumour", "carcinoma", "chemotherapy", "chemo",
    "death", "died", "dies", "dying", "dead", "fatal", "terminal", "deadly",
    "diagnosis", "diagnosed", "dementia", "alzheimer", "parkinson",
    "suicide", "murder", "killed", "killing", "war", "assault", "abuse",
    "overdose", "hospice", "palliative", "disease",
]

HERO_MAX_CORTISOL = 1
HERO_MAX_RAGEBAIT = 1


def safe_to_lead(article: dict) -> bool:
    """True if an article is calm enough to be the page's lead."""
    if (article.get("cortisol_score") or 0) > HERO_MAX_CORTISOL:
        return False
    if (article.get("ragebait_score") or 0) > HERO_MAX_RAGEBAIT:
        return False
    blob = f"{article.get('title') or ''} {article.get('description') or ''}"
    return not text_matches_avoid_terms(blob, HERO_GUARD_TERMS)


def lead_with_gentle(items: list[dict]) -> list[dict]:
    """Reorder so the highest-ranked lead-safe item is first (the hero).

    The remaining items keep their ranked order. If nothing qualifies, the list
    is returned unchanged — the brief still needs a lead, and we never drop a
    constructive story, we only decline to make a charged one the first thing seen.
    """
    for i, article in enumerate(items):
        if safe_to_lead(article):
            if i > 0:
                return [items[i], *items[:i], *items[i + 1:]]
            return items
    return items