"""Build coach evidence blocks and SERVER_PICKS from server math.

Formats precomputed probabilities for prompts; never invents numbers.
"""

from __future__ import annotations

from typing import Any

from app.stats_math import (
    FORMULAS,
    by_emotion,
    by_remedy,
    by_tag,
    daily_rates,
    data_thin,
    scored_entries,
    server_picks,
)


def strip_sensitive(text: str) -> str:
    """Best-effort strip of emails and long digit runs from prompt text."""

    import re

    cleaned = re.sub(
        r"\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}\b",
        "[email]",
        text,
    )
    cleaned = re.sub(r"\b\d{8,}\b", "[digits]", cleaned)
    return cleaned


def format_evidence_block(
    entries: list[dict[str, Any]],
    daily_rows: list[dict[str, Any]],
    *,
    min_n: int,
    shrink_k: float,
) -> str:
    """Render the EVIDENCE markdown block for coach prompts."""

    scored = scored_entries(entries)
    remedies = by_remedy(entries, min_n=min_n, shrink_k=shrink_k)
    tags = by_tag(entries)[:8]
    emotions = by_emotion(entries)[:8]
    rates = daily_rates(daily_rows)
    lines = [
        "EVIDENCE (server-computed; do not invent numbers)",
        f"n_scored: {len(scored)}",
        f"min_n: {min_n}",
        "TOP_REMEDIES: remedy | n | p_worked | p_helped | rank",
    ]
    if remedies:
        for row in remedies[:10]:
            lines.append(
                f"- {row['key']} | {row['n']} | {row['p_worked']:.3f} | "
                f"{row['p_helped']:.3f} | {row['rank']:.3f}"
            )
    else:
        lines.append("- (none above min_n)")
    lines.append("WORST_TAGS: tag | n | p_fail")
    if tags:
        for row in tags:
            lines.append(f"- {row['key']} | {row['n']} | {row['p_failed']:.3f}")
    else:
        lines.append("- (none)")
    lines.append("EMOTION_HITS: emotion | n | p_helped")
    if emotions:
        for row in emotions:
            lines.append(f"- {row['key']} | {row['n']} | {row['p_helped']:.3f}")
    else:
        lines.append("- (none)")
    lines.append(
        "DAILY_RATES: "
        f"p_brick_done={rates['p_brick_done']:.3f} "
        f"p_corn_ok={rates['p_corn_ok']:.3f} "
        f"p_no_fc={rates['p_no_fc']:.3f} "
        f"p_rerun_clean={rates['p_rerun_clean']:.3f} "
        f"p_court_closed={rates['p_court_closed']:.3f} "
        f"avg_points={rates['avg_points']:.3f}"
    )
    lines.append(
        "FORMULAS: "
        f"p_helped={FORMULAS['p_helped']}; rank={FORMULAS['rank']}"
    )
    lines.append(f"DATA_THIN: {str(data_thin(len(scored))).lower()}")
    return "\n".join(lines)


def format_server_picks(picks: list[dict[str, Any]]) -> str:
    """Render numbered SERVER_PICKS lines for prompts and debug paste."""

    if not picks:
        return "SERVER_PICKS: (none)"
    lines = ["SERVER_PICKS:"]
    for index, pick in enumerate(picks, start=1):
        lines.append(
            f"{index}) {pick['remedy_key']} pick={pick['pick']:.3f} "
            f"n={pick['n']} p_helped={pick['p_helped']:.3f}"
        )
    return "\n".join(lines)


def build_evidence(
    entries: list[dict[str, Any]],
    daily_rows: list[dict[str, Any]],
    current_tags: list[str],
    *,
    min_n: int,
    shrink_k: float,
    match_alpha: float,
) -> dict[str, Any]:
    """Return structured evidence plus formatted blocks and picks."""

    scored = scored_entries(entries)
    picks = server_picks(
        entries,
        current_tags,
        min_n=min_n,
        shrink_k=shrink_k,
        match_alpha=match_alpha,
    )
    block = format_evidence_block(
        entries,
        daily_rows,
        min_n=min_n,
        shrink_k=shrink_k,
    )
    picks_text = format_server_picks(picks)
    return {
        "n_scored": len(scored),
        "min_n": min_n,
        "DATA_THIN": data_thin(len(scored)),
        "by_remedy": by_remedy(entries, min_n=min_n, shrink_k=shrink_k),
        "by_tag": by_tag(entries),
        "by_emotion": by_emotion(entries),
        "daily": daily_rates(daily_rows),
        "server_picks": picks,
        "evidence_block": block,
        "server_picks_text": picks_text,
        "formulas": FORMULAS,
    }