Files
AI_NovelGenerator/chapter_directory_parser.py
YILING0013 f388403b08 完成对生成逻辑的优化,但也发现新的问题
前后章节的衔接有问题,这里想着应该要把前一个章节内容发送作为参考,不然中断感很重
2025-02-05 22:43:09 +08:00

133 lines
4.5 KiB
Python

# chapter_blueprint_parser.py
# -*- coding: utf-8 -*-
import re
def parse_chapter_blueprint(blueprint_text: str):
"""
解析整份章节蓝图文本,返回一个列表,每个元素是一个 dict:
{
"chapter_number": int,
"chapter_title": str,
"chapter_role": str, # 本章定位
"chapter_purpose": str, # 核心作用
"suspense_level": str, # 悬念密度
"foreshadowing": str, # 伏笔操作
"plot_twist_level": str, # 认知颠覆
"chapter_summary": str # 本章简述
}
"""
# 先按空行进行分块,以免多章之间混淆
chunks = re.split(r'\n\s*\n', blueprint_text.strip())
results = []
# 兼容是否使用方括号包裹章节标题
# 例如:
# 第1章 - 紫极光下的预兆
# 或
# 第1章 - [紫极光下的预兆]
chapter_number_pattern = re.compile(r'^第\s*(\d+)\s*章\s*-\s*\[?(.*?)\]?$')
role_pattern = re.compile(r'^本章定位:\s*\[?(.*)\]?$')
purpose_pattern = re.compile(r'^核心作用:\s*\[?(.*)\]?$')
suspense_pattern = re.compile(r'^悬念密度:\s*\[?(.*)\]?$')
foreshadow_pattern = re.compile(r'^伏笔操作:\s*\[?(.*)\]?$')
twist_pattern = re.compile(r'^认知颠覆:\s*\[?(.*)\]?$')
summary_pattern = re.compile(r'^本章简述:\s*\[?(.*)\]?$')
for chunk in chunks:
lines = chunk.strip().splitlines()
if not lines:
continue
chapter_number = None
chapter_title = ""
chapter_role = ""
chapter_purpose = ""
suspense_level = ""
foreshadowing = ""
plot_twist_level = ""
chapter_summary = ""
# 先匹配第一行(或前几行),找到章号和标题
header_match = chapter_number_pattern.match(lines[0].strip())
if not header_match:
# 不符合“第X章 - 标题”的格式,跳过
continue
chapter_number = int(header_match.group(1))
chapter_title = header_match.group(2).strip()
# 从后面的行匹配其他字段
for line in lines[1:]:
line_stripped = line.strip()
if not line_stripped:
continue
m_role = role_pattern.match(line_stripped)
if m_role:
chapter_role = m_role.group(1).strip()
continue
m_purpose = purpose_pattern.match(line_stripped)
if m_purpose:
chapter_purpose = m_purpose.group(1).strip()
continue
m_suspense = suspense_pattern.match(line_stripped)
if m_suspense:
suspense_level = m_suspense.group(1).strip()
continue
m_foreshadow = foreshadow_pattern.match(line_stripped)
if m_foreshadow:
foreshadowing = m_foreshadow.group(1).strip()
continue
m_twist = twist_pattern.match(line_stripped)
if m_twist:
plot_twist_level = m_twist.group(1).strip()
continue
m_summary = summary_pattern.match(line_stripped)
if m_summary:
chapter_summary = m_summary.group(1).strip()
continue
results.append({
"chapter_number": chapter_number,
"chapter_title": chapter_title,
"chapter_role": chapter_role,
"chapter_purpose": chapter_purpose,
"suspense_level": suspense_level,
"foreshadowing": foreshadowing,
"plot_twist_level": plot_twist_level,
"chapter_summary": chapter_summary
})
# 按照 chapter_number 排序后返回
results.sort(key=lambda x: x["chapter_number"])
return results
def get_chapter_info_from_blueprint(blueprint_text: str, target_chapter_number: int):
"""
在已经加载好的章节蓝图文本中,找到对应章号的结构化信息,返回一个 dict。
若找不到则返回一个默认的结构。
"""
all_chapters = parse_chapter_blueprint(blueprint_text)
for ch in all_chapters:
if ch["chapter_number"] == target_chapter_number:
return ch
# 默认返回
return {
"chapter_number": target_chapter_number,
"chapter_title": f"第{target_chapter_number}章",
"chapter_role": "",
"chapter_purpose": "",
"suspense_level": "",
"foreshadowing": "",
"plot_twist_level": "",
"chapter_summary": ""
}