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import json
from copy import deepcopy
from concurrent.futures import ThreadPoolExecutor
from typing import Dict, Any, List, Tuple
from .content_crew_config import safe_run_once, build_rag_block
from agents.books.book_content import make_writer_crew, make_quality_crew
from agents.books.book_content_gpt import make_writer_crew_gpt, make_quality_crew_gpt
# from agents.books import make_writer_editor_crew
MAX_CHAPTER_WORKERS = 3
# ูู True: quality ููุฏุฑ ูููุฏ ู
ุญุชูู ุญุชู ูู writer ุฑุฌูุน ูุงุถู
# ูู False: quality ูุฑุงุฌุน ููุทุ ููู draft ูุงุถู ููุถู ูุงุถู
ALLOW_QUALITY_FROM_EMPTY_DRAFT = False
# ู
ูุงุชูุญ ูุงุฒู
ุฉ ููู writer prompt
WRITER_REQUIRED_KEYS = [
"book_title",
"book_description",
"target_audience",
"chapter_title",
"chapter_outcome",
"section_title",
"section_overview",
"subsection_title",
"subsection_purpose",
"style_profile_json",
"writing_mode",
"tone",
"target_pages",
"core_idea",
"key_points",
"scope_limit",
"avoid_overlap_with",
"depth_level",
# "citations_required",
"planner_notes",
"rag_block",
]
def _iter_section_plans(section: dict):
"""
ูุฏุนู
ุงูุดูู ุงูุฌุฏูุฏ:
section["plans"] = { "ุนููุงู ุงูู
ุญูุฑ": { ...plan... }, ... }
+ fallback ููุดูู ุงููุฏูู
:
section["subsections"] = [ {...}, ... ]
"""
plans = section.get("plans")
if isinstance(plans, dict) and plans:
for subsection_title, plan in plans.items():
yield subsection_title, plan if isinstance(plan, dict) else {}
return
# fallback legacy
for sub in section.get("subsections", []):
subsection_title = sub.get("title") or sub.get("subsection_title") or ""
yield subsection_title, sub if isinstance(sub, dict) else {}
def _normalize_plan(raw_plan: dict) -> dict:
"""
ููุญูุฏ ุดูู plan ุณูุงุก ุฌุงู ุจุงูุดูู ุงูุฌุฏูุฏ ุฃู ุงููุฏูู
.
"""
if not isinstance(raw_plan, dict):
return {}
# ุงูุดูู ุงููุฏูู
: subsection ููู planning + rag_context
if "planning" in raw_plan and isinstance(raw_plan.get("planning"), dict):
planning = deepcopy(raw_plan.get("planning", {}))
planning.setdefault("purpose", raw_plan.get("purpose", ""))
planning.setdefault("rag_context", raw_plan.get("rag_context", {}))
planning.setdefault("status", raw_plan.get("status", "ready"))
return planning
# ุงูุดูู ุงูุฌุฏูุฏ: plan ุฌุงูุฒ ู
ุจุงุดุฑุฉ
return deepcopy(raw_plan)
def _as_json_string(value, fallback=None) -> str:
if value is None:
value = fallback if fallback is not None else {}
if isinstance(value, str):
return value
try:
return json.dumps(value, ensure_ascii=False)
except Exception:
return str(value)
def _as_text(value) -> str:
if value is None:
return ""
return str(value).strip()
def _as_text_list(value) -> str:
"""
ุชุญููู list/string ุฅูู ูุต ุซุงุจุช ููู interpolation.
"""
if value is None:
return ""
if isinstance(value, list):
cleaned = [str(x).strip() for x in value if str(x).strip()]
return " | ".join(cleaned)
return str(value).strip()
def _ensure_required_inputs(inputs: dict, required_keys: List[str], ctx: str = ""):
missing = [k for k in required_keys if k not in inputs]
if missing:
prefix = f"[{ctx}] " if ctx else ""
raise ValueError(f"{prefix}Missing required input keys: {missing}")
def build_inputs(
book_meta: Dict[str, Any],
chapter: Dict[str, Any],
section: Dict[str, Any],
subsection_title: str,
plan: Dict[str, Any],
) -> Dict[str, Any]:
chapter_intro = chapter.get("chapter_intro", {})
if not isinstance(chapter_intro, dict):
chapter_intro = {}
rag_context = plan.get("rag_context", {})
if not isinstance(rag_context, dict):
rag_context = {}
rag_block = build_rag_block(rag_context.get("chunks", []))
# style_profile ุบุงูุจูุง ุนูู ู
ุณุชูู chapter
style_profile = chapter.get("style_profile")
if style_profile is None:
style_profile = section.get("style_profile")
# chapter_outcome fallback ู
ู chapter_intro
chapter_outcome = chapter.get("outcome") or chapter_intro.get(
"why_this_chapter_now", ""
)
safe_subsection_title = (
_as_text(subsection_title)
or _as_text(plan.get("subsection_title", ""))
or "ู
ุญูุฑ ูุฑุนู"
)
return {
"book_title": _as_text(book_meta.get("book_title", "")),
"book_description": _as_text(book_meta.get("book_description", "")),
"target_audience": _as_text(book_meta.get("target_audience", "")),
"chapter_title": _as_text(chapter.get("chapter_title", "")),
"chapter_outcome": _as_text(chapter_outcome),
"section_title": _as_text(
section.get("section_title", "") or section.get("title", "")
),
"section_overview": _as_text(section.get("overview", "")),
"subsection_title": safe_subsection_title,
"subsection_purpose": _as_text(plan.get("purpose", "")),
"style_profile_json": _as_json_string(style_profile, fallback={}),
"writing_mode": _as_text(plan.get("writing_mode", "")),
"tone": _as_text(plan.get("tone", "")),
"target_pages": plan.get("estimated_pages", 1) or 1,
"core_idea": _as_text(plan.get("core_idea", "")),
"key_points": _as_text_list(plan.get("key_points", [])),
"scope_limit": _as_text(plan.get("scope_limit", "")),
"avoid_overlap_with": _as_text_list(plan.get("avoid_overlap_with", [])),
"depth_level": _as_text(plan.get("depth_level", "")),
# "citations_required": bool(plan.get("citations_required", False)),
"planner_notes": _as_text(plan.get("notes", "")),
"rag_block": _as_text(rag_block),
# ุงุฎุชูุงุฑู
"chapter_intro_json": _as_json_string(chapter_intro, fallback={}),
}
def process_chapter(chapter: dict, book_meta: dict, chapter_idx: int) -> dict:
"""
ู
ุนุงูุฌุฉ ูุตู ูุงู
ู (sequential ุฏุงุฎูู) โ ุชูุณุชุฏุนู ุฏุงุฎู Thread.
"""
print(f"\n๐ Processing Chapter {chapter_idx}")
chapter_out = {
"chapter_title": chapter.get("chapter_title", ""),
"chapter_intro": deepcopy(chapter.get("chapter_intro", {})),
"style_profile": deepcopy(chapter.get("style_profile", {})),
"sections": [],
}
if chapter.get("outcome") is not None:
chapter_out["outcome"] = chapter.get("outcome", "")
for section in chapter.get("sections", []):
section_title = section.get("section_title", "") or section.get("title", "")
section_out = {
"section_title": section_title,
"overview": section.get("overview", ""),
"section_intro_paragraph": section.get("section_intro_paragraph", ""),
"section_closing_paragraph": section.get("section_closing_paragraph", ""),
"plans": {},
}
writer_crew = make_writer_crew()
quality_crew = make_quality_crew()
# writer_editor_crew = make_writer_editor_crew()
for subsection_title, raw_plan in _iter_section_plans(section):
plan = _normalize_plan(raw_plan)
print(f"๐ข Writing: {subsection_title}")
plan_out = deepcopy(plan)
try:
inputs = build_inputs(
book_meta, chapter, section, subsection_title, plan
)
_ensure_required_inputs(
inputs,
WRITER_REQUIRED_KEYS,
ctx=f"chapter={chapter_idx}, section={section_title}, subsection={subsection_title}",
)
# 1) Writer + retry (ุฏุงุฎู safe_run_once)
# generated, sources = safe_run_once(writer_editor_crew, inputs)
generated, sources = safe_run_once(writer_crew, inputs)
content_before_review = generated
sources_before_review = sources
# 2) Quality gate
reviewed_generated, reviewed_sources = "", []
if generated.strip() or ALLOW_QUALITY_FROM_EMPTY_DRAFT:
# if reviewed_generated.strip() or ALLOW_QUALITY_FROM_EMPTY_DRAFT:
draft_json = json.dumps(
{"generated_content": generated, "sources": sources},
ensure_ascii=False,
)
quality_inputs = dict(inputs)
quality_inputs["draft_json"] = draft_json
reviewed_generated, reviewed_sources = safe_run_once(
quality_crew, quality_inputs
)
if reviewed_generated.strip():
generated = reviewed_generated
sources = reviewed_sources
plan_out["generated_content"] = content_before_review
plan_out["sources"] = sources_before_review
plan_out["generated_content_reviewed"] = generated
plan_out["sources_reviewed"] = sources
plan_out["content_status"] = (
"generated" if generated.strip() else "empty"
)
except Exception as e:
plan_out["generated_content"] = ""
plan_out["sources"] = []
plan_out["generated_content_reviewed"] = ""
plan_out["sources_reviewed"] = []
plan_out["content_status"] = "error"
plan_out["error"] = str(e)
section_out["plans"][subsection_title] = plan_out
chapter_out["sections"].append(section_out)
return chapter_out
def process_book(data: dict) -> dict:
"""
- parallel ุนูู ู
ุณุชูู chapters
- ุงูุญูุงุธ ุนูู ุชุฑุชูุจ chapters
"""
book_meta = {
"book_title": data.get("book_title", ""),
"book_description": data.get("book_description", ""),
"target_audience": data.get("target_audience", ""),
}
chapters = data.get("chapters", [])
chapters_out = [None] * len(chapters)
futures = []
with ThreadPoolExecutor(max_workers=MAX_CHAPTER_WORKERS) as executor:
for idx, chapter in enumerate(chapters):
future = executor.submit(process_chapter, chapter, book_meta, idx + 1)
futures.append((idx, future))
for idx, future in futures:
try:
chapters_out[idx] = future.result()
except Exception as e:
ch = chapters[idx] if idx < len(chapters) else {}
chapters_out[idx] = {
"chapter_title": ch.get("chapter_title", f"Chapter {idx+1}"),
"sections": [],
"error": str(e),
}
return {
"message": "Book Content Generated Successfully ๐",
"content_phase": "generated",
**book_meta,
"chapters": chapters_out,
}
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