"""Structured coaching payload for the web UI."""

from __future__ import annotations

from typing import Any

from chess_tutor.cohort.opening_families import bucket_display_name
from chess_tutor.playstyle_coaching.opening_climbers import position_heading
from chess_tutor.inference.output import format_elo_outlook_lines
from chess_tutor.inference.pipeline import InferenceResult
from chess_tutor.web.embedding import build_tsne_web_plots
from chess_tutor.web.narrative_sections import build_web_narrative_sections
from chess_tutor.web.puzzle_series import build_puzzle_series
from chess_tutor.web.sections import (
    DEFAULT_WEB_UI_LAYOUT,
    WebSectionId,
    WebSectionSpec,
    ensure_complete_layout,
    section_enabled,
    ui_layout_config,
)
from chess_tutor.web.style_elo_plot import build_style_scale
from chess_tutor.web.style_traits import build_style_traits
from chess_tutor.web.version import version_info


def _opening_cards(result: InferenceResult) -> list[dict[str, Any]]:
    plan = result.actionable_plan
    if plan is None or not plan.opening_insights:
        return []

    cards: list[dict[str, Any]] = []
    for rank, ins in enumerate(plan.opening_insights, start=1):
        title = position_heading(
            rank,
            position_label=ins.position_label,
            bucket=ins.bucket,
        )
        cards.append(
            {
                "rank": rank,
                "bucket": title,
                "context": bucket_display_name(ins.bucket) if ins.bucket else None,
                "position_label": ins.position_label,
                "you_play": ins.user_move_san,
                "you_play_moves": ins.user_move_uci,
                "you_play_share": ins.user_move_at_position_share,
                "sample_share": ins.user_current_share,
                "bucket_n_games": ins.position_visit_count or ins.bucket_n_games,
                "recommended": ins.recommended_move_san,
                "recommended_moves": ins.recommended_move_uci,
                "recommended_label": ins.recommended_opening or ins.family_label,
                "climber_switch_rate": ins.climber_switch_rate,
            }
        )
    return cards


def build_web_payload(
    result: InferenceResult,
    *,
    corpus_id: str = "standard_600",
    layout: tuple[WebSectionSpec, ...] | None = None,
) -> dict[str, Any]:
    """JSON-serializable report for the local web UI."""
    resolved_layout = ensure_complete_layout(
        layout if layout is not None else DEFAULT_WEB_UI_LAYOUT
    )
    ctx = result.coaching_report.context
    outlook_lines = format_elo_outlook_lines(result, ctx)
    narrative = result.coaching_narrative.strip()
    meta = (
        dict(result.actionable_plan.metadata)
        if result.actionable_plan is not None
        else {}
    )

    payload: dict[str, Any] = {
        "ui_layout": ui_layout_config(sections=resolved_layout),
        "header": {
            "username": result.username,
            "site": result.site,
            "player_elo": result.player_elo,
            "native_player_elo": result.native_player_elo,
            "elo_bracket": ctx.elo_bracket,
            "n_games": result.n_games_downloaded,
            "policy": result.coaching_policy,
        },
        "rating_outlook": outlook_lines,
        "narrative_markdown": narrative,
        "lichess_study_url": meta.get("lichess_study_url"),
        "lichess_study_error": meta.get("lichess_study_error"),
        "version": version_info(),
    }

    if section_enabled(WebSectionId.NARRATIVE, layout=resolved_layout):
        payload["narrative_sections"] = build_web_narrative_sections(narrative)
    else:
        payload["narrative_sections"] = []

    if section_enabled(WebSectionId.OPENINGS, layout=resolved_layout):
        payload["opening_cards"] = _opening_cards(result)
    else:
        payload["opening_cards"] = []

    if section_enabled(WebSectionId.PUZZLES, layout=resolved_layout):
        payload["puzzle_series"] = build_puzzle_series(result.actionable_plan)
    else:
        payload["puzzle_series"] = []

    if section_enabled(WebSectionId.TSNE_PLOT, layout=resolved_layout) or section_enabled(
        WebSectionId.ELO_TSNE_PLOT, layout=resolved_layout
    ):
        embedding_plots = build_tsne_web_plots(result, corpus_id=corpus_id)
        payload["tsne_plot"] = (
            embedding_plots["tsne_plot"]
            if section_enabled(WebSectionId.TSNE_PLOT, layout=resolved_layout)
            else None
        )
        payload["elo_tsne_plot"] = (
            embedding_plots["elo_tsne_plot"]
            if section_enabled(WebSectionId.ELO_TSNE_PLOT, layout=resolved_layout)
            else None
        )
    else:
        payload["tsne_plot"] = None
        payload["elo_tsne_plot"] = None

    if section_enabled(WebSectionId.STYLE_SCALE, layout=resolved_layout):
        payload["style_scale"] = build_style_scale(result, corpus_id=corpus_id)
    else:
        payload["style_scale"] = None

    if section_enabled(WebSectionId.STYLE_TRAITS, layout=resolved_layout):
        payload["style_traits"] = build_style_traits(result)
    else:
        payload["style_traits"] = []

    return payload