"""Lecture/ecriture des artefacts du pipeline dans data/<slug>/.

Chaque etape ecrit un JSON ; les etapes suivantes les relisent. C'est aussi ce
qui rend le pipeline reprenable : on peut detecter qu'un artefact existe deja.
"""
from __future__ import annotations

from pathlib import Path

from ..config import book_data_dir
from ..models import Cast, ChapterAnalysis, Pronunciation


def analysis_path(slug: str, chapter_index: int) -> Path:
    return book_data_dir(slug) / "analysis" / f"ch{chapter_index:02d}.json"


def cast_path(slug: str) -> Path:
    return book_data_dir(slug) / "cast.json"


def pronunciation_path(slug: str) -> Path:
    return book_data_dir(slug) / "pronunciation.json"


def save_analysis(slug: str, analysis: ChapterAnalysis) -> Path:
    path = analysis_path(slug, analysis.index)
    path.parent.mkdir(parents=True, exist_ok=True)
    path.write_text(analysis.model_dump_json(indent=2), encoding="utf-8")
    return path


def load_analysis(slug: str, chapter_index: int) -> ChapterAnalysis:
    path = analysis_path(slug, chapter_index)
    return ChapterAnalysis.model_validate_json(path.read_text(encoding="utf-8"))


def save_cast(slug: str, cast: Cast) -> Path:
    path = cast_path(slug)
    path.parent.mkdir(parents=True, exist_ok=True)
    path.write_text(cast.model_dump_json(indent=2), encoding="utf-8")
    return path


def load_cast(slug: str) -> Cast:
    path = cast_path(slug)
    if not path.exists():
        return Cast()
    return Cast.model_validate_json(path.read_text(encoding="utf-8"))


def save_pronunciation(slug: str, pron: Pronunciation) -> Path:
    path = pronunciation_path(slug)
    path.parent.mkdir(parents=True, exist_ok=True)
    path.write_text(pron.model_dump_json(indent=2), encoding="utf-8")
    return path


def load_pronunciation(slug: str) -> Pronunciation:
    path = pronunciation_path(slug)
    if not path.exists():
        return Pronunciation()
    return Pronunciation.model_validate_json(path.read_text(encoding="utf-8"))