# =========================================================
# File: scraper/tasks/pipeline.py
# Purpose:
#   Build Celery chains for chapter processing using payload dict.
#
# Pipeline v3:
#   download_chapter(payload)
#       → parse_chapter(payload)
#           → save_chapter(payload)
# =========================================================

from celery import chain

from scraper.tasks.download_tasks import download_chapter
from scraper.tasks.parse_tasks import parse_chapter
from scraper.tasks.save_tasks import save_chapter

from scraper.logger_decorators import logcall


@logcall
def build_chapter_pipeline(book_id: str, chapter_dict: dict, book_meta: dict):
    """
    Payload model passed through entire pipeline.
    """

    payload = {
        "book_id": book_id,
        "chapter": chapter_dict,
        "book_meta": book_meta,
        "html": None,
        "parsed": None,
        "skipped": False,
        "path": None,
    }

    return chain(
        download_chapter.s(payload),
        parse_chapter.s(),
        save_chapter.s(),
    )