181 lines
9.7 KiB
Python
181 lines
9.7 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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构建《中医入门》应用理论依据库 → 02_加工数据/理论依据库.json
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用途: 为体质调理/药膳推荐/处方分析等应用提供可调用的理论依据(原文+行号溯源)
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每条依据含: 原文引文 + 行号(指向 02_加工数据/中医入门.md)
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"""
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import json, os, re, datetime
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BOOK = "/home/songyi/Documents/ai_agent_scraper_study/data/中医入门资料库/02_加工数据/中医入门.md"
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OUT = "/home/songyi/Documents/ai_agent_scraper_study/data/中医入门资料库/02_加工数据/理论依据库.json"
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TODAY = datetime.date.today().isoformat()
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lines = open(BOOK, encoding="utf-8").read().splitlines()
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text = "\n".join(lines)
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def ln(idx): # 字符偏移 → 行号(1-based)
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return text[:idx].count("\n") + 1
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def find_seg(start, end):
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i, j = text.find(start), text.find(end)
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return (i, j) if 0 <= i < j else (i, len(text))
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lib = {"metadata": {
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"生成日期": TODAY,
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"来源": "中医入门资料库/02_加工数据/中医入门.md（秦伯未《中医入门》体例，用户定级: 重要理论基础）",
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"用途": "应用调用层——体质调理/药膳推荐/处方分析/配伍安全核查时，调用本库返回《中医入门》理论依据(原文+行号)",
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"查询接口": "../05_脚本工具/theory_api.py"}}
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# ============ 八法 ============
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i0, j0 = find_seg("三、八法", "四、常用治法")
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bafa = {}
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for m in re.finditer(r'^\d+[\.、]\s*([^\s：:，。]{1,2}法)[：:]\s*(.+)$', text[i0:j0], re.M):
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name = m.group(1)
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seg_after = text[i0+j0 if False else i0+m.end(): j0]
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first = seg_after.split("。")[0]
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bafa[name] = {"定义原文": (m.group(2).split("。")[0] + "。").strip() if m.group(2) else "",
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"行号": ln(i0 + m.start())}
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lib["八法"] = bafa
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# ============ 常用治法 72 ============
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i0, j0 = find_seg("四、常用治法", "## 第三章")
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zhifa, missing = {}, []
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for m in re.finditer(r'^(\d+)[\.、，,]?\s*([^\s：:，。]{2,12}法)[：:]\s*(.*)$', text[i0:j0], re.M):
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num, name, rest = int(m.group(1)), m.group(2), m.group(3)
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use = re.search(r'用于(.*?)(?:药如|。|$)', rest)
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yao = re.search(r'药如([^.。；;]*)', rest)
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zhifa[str(num)] = {"名称": name,
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"适应症": use.group(1).strip("，,。 ") if use else None,
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"药如": ([x.strip() for x in re.split(r'[、，,]', yao.group(1)) if x.strip()] if yao else []),
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"行号": ln(i0 + m.start())}
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nums = sorted(int(k) for k in zhifa)
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gaps = [n for n in range(nums[0], nums[-1]+1) if n not in nums]
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lib["治法72"] = {"条目": zhifa, "总数": len(zhifa), "编号范围": [nums[0], nums[-1]],
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"缺号": gaps, "缺号说明": "原书编号缺号或OCR漏行，如实记录" if gaps else None}
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# ============ 七方 ============
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# 切片止于七方段结尾（其后是张景岳八阵与汪昂22类剂型分类，"22. 救急方"属剂型分类，非七方）
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i0, j0 = find_seg("二、七方", "三、剂型")
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cut = text.find("七方是方剂组成的法则之一", i0)
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if 0 < cut < j0: j0 = cut
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qifang, cur, cur_pos = {}, None, None
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for m in re.finditer(r'^\d+[\.、]\s*([^\s：:，。]{1,3})方[：:]\s*(.+)$|^(二、七方)', text[i0:j0], re.M):
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if m.group(3):
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cur = None; continue
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cur = m.group(1) + "方"
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para = m.group(2) # (.+)$ 已捕获整段（每段一行），无需再找空行
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# 清洗举例药名: 剥离连接词前缀（"如下法中的大承气汤"→"大承气汤"）
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examples = []
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for tok in re.findall(r'([\u4e00-\u9fff]{2,9}(?:汤|丸|散|饮|膏))', para):
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tok = re.split(r'[如用和及等是的中的将]', tok)[-1]
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if len(tok) >= 3 and tok not in examples: examples.append(tok)
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qifang[cur] = {"定义原文": para[:150].strip(),
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"书内举例": examples,
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"行号": ln(i0 + m.start())}
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lib["七方"] = qifang
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# ============ 效能分类 15 ============
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i0, j0 = find_seg("二、效能", "#### 1. 扶正类")
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xiaoneng = {}
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for m in re.finditer(r'^(\d+)[\.、]\s*([^\s：:，。]{2,8}药)[：:]\s*(.+)$', text[i0:j0], re.M):
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seg = m.group(3)
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reps = []
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for km in re.finditer(r'([\u4e00-\u9fff]{2,8})如([、\u4e00-\u9fff（）]{2,60})', seg):
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for h in re.split(r'[、]', km.group(2)):
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h = re.sub(r'（[^）]*）', '', h).strip("等")
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if h: reps.append(h)
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xiaoneng[m.group(2)] = {"定义原文": seg.split("。")[0] + "。", "代表药": reps[:24],
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"行号": ln(i0 + m.start())}
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lib["效能分类"] = xiaoneng
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# ============ 扶正/祛邪功效药组 ============
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groups = []
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def parse_groups(start, end, kind):
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i0, j0 = find_seg(start, end)
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cur_sys = ""
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for m in re.finditer(r'^\((\d+)\)\s*属于(.+?)：|^[^\n#\d(].*?——.*$', text[i0:j0], re.M):
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line = m.group(0).strip()
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if m.group(1):
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cur_sys = m.group(2); continue
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eff, _, rhs = line.partition("——")
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label = f"{kind}·{cur_sys}·{eff.strip()}" if cur_sys else f"{kind}·{eff.strip()}"
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herbs = []
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for h in re.split(r'[、，,]', rhs.strip().strip("。")):
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h = re.sub(r'（[^）]*）', '', h).strip()
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h = re.sub(r'^(亦可用鲜|亦可用)', '', h).strip()
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if h: herbs.append(h)
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groups.append({"组": label, "药": herbs, "行号": ln(i0 + m.start())})
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parse_groups("#### 1. 扶正类", "#### 2. 祛邪类", "扶正类")
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parse_groups("#### 2. 祛邪类", "三、归经", "祛邪类")
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lib["功效药组"] = {"条目": groups, "总数": len(groups)}
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# ============ 示例方 40 ============
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i0, j0 = find_seg("一、基本方剂", "## 第四章")
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shili = {}
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for m in re.finditer(r'^(\d+)[\.、]\s*([^：:\n]+)[：:]\s*(.+)$', text[i0:j0], re.M):
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name = m.group(2).strip()
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rest = m.group(3)
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comp = [c.strip() for c in rest.split("。")[0].split("、") if c.strip()]
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pos = re.search(r'为([^，。]{2,12})主方', rest)
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zhi = re.search(r'用于([^。]*)', rest)
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shili[name] = {"序号": int(m.group(1)), "组成_书": comp,
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"主方定位": pos.group(1) if pos else None,
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"主治": zhi.group(1).strip() if zhi else None,
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"行号": ln(i0 + m.start())}
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lib["示例方40"] = shili
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# ============ 二十八脉主症 ============
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i0, j0 = find_seg("二十八脉的主症", "## 第三章")
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mai = {}
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for m in re.finditer(r'^([^\s，。]{1,2})脉主(.+)$', text[i0:j0], re.M):
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mai[m.group(1) + "脉"] = {"主症原文": m.group(2).strip().rstrip("。"), "行号": ln(i0 + m.start())}
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lib["脉象主症"] = {"条目": mai, "总数": len(mai),
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"说明": "标题为二十八脉，实列27条，长脉仅见总括韵文（原书编排，如实记录）"}
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# ============ 用药安全 ============
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ph_i = text.find("一、配合"); ph_j = text.find("二、用量")
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ph = text[ph_i:ph_j]
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i18 = ph.find("十八反歌：")
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seg18_prose = ph[ph.find("歌中所提十八种药"):ph.find("歌中所提十九种药")]
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seg19_prose = ph[ph.find("歌中所提十九种药"):ph.find("此外，妊娠禁忌")]
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# 畏对提取: 从"如硫黄畏朴硝"起取，避开首句"即表示相畏比较显著"的噪音
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iex = seg19_prose.find("如硫黄畏朴硝")
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pairs = [(a.replace("如", "", 1) if a.startswith("如") else a, b)
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for a, b in re.findall(r'([\u4e00-\u9fff]{1,4})畏([\u4e00-\u9fff]{1,5})', seg19_prose[iex:])
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if len(a) >= 2 and len(b) >= 2]
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for extra in [("川乌", "犀角"), ("草乌", "犀角")]: # "川乌、草乌畏犀角"正则只捕草乌，补川乌
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if extra not in pairs: pairs.append(extra)
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i19 = ph.find("十九畏歌：")
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seg_preg = ph[ph.find("此外，妊娠禁忌"):ph.find("经验告诉我们")]
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safety = {"十八反": {
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"相反组": [
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{"组": ["乌头"], "组_通行扩展": ["川乌", "草乌", "附子"],
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"反": ["半夏", "瓜蒌", "贝母", "白蔹", "白及"], "反_通行扩展": [],
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"说明": "书列'乌头'；附子为乌头子根，通行本明列附子反半夏/瓜蒌等，安全核查按通行扩展执行"},
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{"组": ["甘草"], "组_通行扩展": [], "反": ["海藻", "大戟", "甘遂", "芫花"], "反_通行扩展": [],
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"说明": None},
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{"组": ["藜芦"], "组_通行扩展": [],
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"反": ["人参", "沙参", "细辛", "芍药"], "反_通行扩展": ["丹参", "玄参", "苦参"],
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"说明": "书列'诸参'散文明列人参、沙参；通行本扩展丹参/玄参/苦参"}],
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"歌诀原文": re.search(r'十八反歌：[^\n]+', ph).group(0),
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"散文原文": seg18_prose.strip().split("\n")[0],
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"行号": ln(ph_i + i18),
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"通行扩展说明": "歌诀'诸参辛芍反藜芦'，通行本藜芦组扩展含丹参/玄参/苦参；乌头组扩展含附子。扩展项在核查结果中标注[通行扩展]"},
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"十九畏": {
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"畏对": pairs,
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"散文原文": seg19_prose.strip().split("\n")[0],
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"行号": ln(ph_i + i19)},
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"妊娠禁忌": {"药": [], "原文摘录": seg_preg.strip()[:400], "行号": ln(ph_i + ph.find("此外，妊娠禁忌"))}}
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for m in re.finditer(r'(植物|动物|矿物)药如([^；。]+)', seg_preg):
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for x in re.split(r'[、]', m.group(2)):
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x = x.strip()
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if 2 <= len(x) <= 6: safety["妊娠禁忌"]["药"].append(x)
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lib["用药安全"] = safety
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# ============ 输出 ============
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json.dump(lib, open(OUT, "w", encoding="utf-8"), ensure_ascii=False, indent=1)
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print("理论依据库:", OUT, f"({os.path.getsize(OUT)} bytes)")
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print(f"八法 {len(bafa)} | 治法 {len(zhifa)}(缺号{gaps}) | 七方 {len(qifang)} | 效能 {len(xiaoneng)} | "
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f"药组 {len(groups)} | 示例方 {len(shili)} | 脉 {len(mai)} | 十八反组3 | 十九畏 {len(safety['十九畏']['畏对'])}对 | 妊娠禁忌 {len(safety['妊娠禁忌']['药'])}味")
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