mirror of
https://kkgithub.com/chinese-poetry/chinese-poetry.git
synced 2026-04-17 01:33:41 +00:00
修改为中文目录
This commit is contained in:
77
宋词/README.md
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77
宋词/README.md
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136
宋词/UpdateCi.py
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宋词/UpdateCi.py
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import json
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import logging
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import os
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import re
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from difflib import SequenceMatcher
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import requests
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from bs4 import BeautifulSoup
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from bs4.element import NavigableString
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def get_page_content(page: int) -> list:
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""" 获取目录页每一页的内容 """
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content = []
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r = requests.post("http://qsc.zww.cn/getdata.asp", data={
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"seektype": 2,
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"seekvalue": "",
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"pageno": page
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})
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r.encoding = "gbk"
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soup = BeautifulSoup(re.search(r"filllist\('·(.*?)'\);", r.text).group(1), features="lxml")
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for i, a in enumerate(soup.find_all(name="a")):
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if i % 2 == 0:
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content.append({
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"rhythmic": a.string.split("(")[0],
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"param": re.search(r"doseek2\((.*?)\);", a["onclick"]).group(1).split(",")
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})
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else:
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content[-1]["author"] = a.string
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for c in content:
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c["paragraphs"] = get_paragraphs(int(c["param"][0]), int(c["param"][1]))
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del c["param"]
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return content
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def get_paragraphs(seek_type: int, seek_value: int) -> list:
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""" 获取词的内容段落 """
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paragraphs = []
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r = requests.post("http://qsc.zww.cn/getdata.asp", data={
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"seektype": seek_type,
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"seekvalue": seek_value,
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"pageno": 1
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})
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r.encoding = "gbk"
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soup = BeautifulSoup(re.search(r"fillbody\('(.*?)'\);", r.text).group(1), features="lxml")
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for child in soup.find(name="p", align=None).contents:
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if isinstance(child, NavigableString):
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paragraphs.append(child)
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return paragraphs
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def get_all_page(temp_file: str):
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""" 爬取数据并保存至临时文件 """
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for page in range(1, 1240):
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all_data.extend(get_page_content(page))
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logging.info("Success: save page {0}".format(page))
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with open(temp_file, "w", encoding="utf-8") as f:
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f.write(json.dumps(all_data, indent=2, ensure_ascii=False))
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def only_text(text: str):
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""" 去除标点只保留文字 """
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return re.sub(r"[,。、《》…()·・\s]", "", text)
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def update_file_data(old_data: list, new_data: list):
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for i in range(len(old_data)):
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old_text = only_text("".join(old_data[i]["paragraphs"]))
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new_text = only_text("".join(new_data[start + i]["paragraphs"]))
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# 计算纯文字的相似度
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ratio = SequenceMatcher(a=old_text, b=new_text).quick_ratio()
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if 0.9 <= ratio < 1.0:
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# 假定此范围内说明缺字,需要更新
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old_data[i]["author"] = new_data[start + i]["author"]
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old_data[i]["paragraphs"] = new_data[start + i]["paragraphs"]
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elif ratio < 0.9:
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# 异常情况warning输出,不更新
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logging.warning(old_text)
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logging.warning(new_text)
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else:
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old_data[i]["author"] = new_data[start + i]["author"]
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char_dict = {
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"鵷": "鹓",
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"颭": "飐",
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"鷁": "鹢",
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"鴞": "鸮",
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"餖": "饾",
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"飣": "饤",
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"舃": "舄",
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"駸": "骎",
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"薄倖": "薄幸",
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"赬": "赪",
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"鷫鸘": "鹔鹴",
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"嶮": "崄",
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"後": "后",
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"纇": "颣",
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"颸": "飔",
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"崑崙": "昆仑",
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"曨": "昽"
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}
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def correct(old_data: list):
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""" 部分繁体转为简体 """
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for i in range(len(old_data)):
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for j in range(len(old_data[i]["paragraphs"])):
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for k, v in char_dict.items():
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if k in old_data[i]["paragraphs"][j]:
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old_data[i]["paragraphs"][j] = old_data[i]["paragraphs"][j].replace(k, v)
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if __name__ == '__main__':
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logging.basicConfig(level=logging.INFO,
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format="%(asctime)s - %(levelname)-9s %(filename)-15s[:%(lineno)d]\t%(message)s")
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temp_file_name = "all.json"
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# 临时文件不存在则先爬取
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if not os.path.exists(temp_file_name):
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get_all_page(temp_file_name)
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# 读取临时文件
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with open("all.json", "r", encoding="utf-8") as f:
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all_data = json.load(f)
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# 遍历当前目录
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for file_name in os.listdir("./"):
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if re.match(r"ci\.song\.\d+\.json", file_name):
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# 每个文件开始的数据索引
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start = int(file_name.split(".")[2])
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with open(file_name, "r", encoding="utf-8") as f:
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file_data = json.load(f)
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update_file_data(file_data, all_data)
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correct(file_data)
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# 保存数据,原文件中逗号后有空格,这里保持一致
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with open(file_name, "w", encoding="utf-8") as f:
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f.write(json.dumps(file_data, indent=2, ensure_ascii=False).replace(",", ", "))
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logging.info("Save " + file_name)
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7817
宋词/author.song.json
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7817
宋词/author.song.json
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13907
宋词/ci.song.0.json
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13907
宋词/ci.song.0.json
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13157
宋词/ci.song.1000.json
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13157
宋词/ci.song.1000.json
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13493
宋词/ci.song.10000.json
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13493
宋词/ci.song.10000.json
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13614
宋词/ci.song.11000.json
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13614
宋词/ci.song.11000.json
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13592
宋词/ci.song.12000.json
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13592
宋词/ci.song.12000.json
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13836
宋词/ci.song.13000.json
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13836
宋词/ci.song.13000.json
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14796
宋词/ci.song.14000.json
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14796
宋词/ci.song.14000.json
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14838
宋词/ci.song.15000.json
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14838
宋词/ci.song.15000.json
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14591
宋词/ci.song.16000.json
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14591
宋词/ci.song.16000.json
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宋词/ci.song.17000.json
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14637
宋词/ci.song.17000.json
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14582
宋词/ci.song.18000.json
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14582
宋词/ci.song.18000.json
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11975
宋词/ci.song.19000.json
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11975
宋词/ci.song.19000.json
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13271
宋词/ci.song.2000.json
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13271
宋词/ci.song.2000.json
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13503
宋词/ci.song.20000.json
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13503
宋词/ci.song.20000.json
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78
宋词/ci.song.2019y.json
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宋词/ci.song.2019y.json
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[
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{
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"author": "李从周",
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"paragraphs": [
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"夢魂尋遍。",
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"忽向尊前見。",
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"好似烏衣春社燕。",
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"軟語東風庭院。",
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"叮咛记取儿家。",
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"碧云隐映红霞。",
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"直下小桥流水,门前一树桃花。"
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],
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"rhythmic": "清平乐"
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},
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{
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"author": "无名氏",
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"paragraphs": [
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"一张机。",
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"织梭光景去如飞。",
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"兰房夜永愁无寐。",
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"呕呕轧轧,织成春恨,留著待郎归。",
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"两张机。",
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"月明人静漏声稀。",
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"千丝万缕相萦系。",
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"织成一段,回纹锦字,将去寄呈伊。",
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"三张机。",
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"中心有朵耍花儿。",
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"娇红嫩绿春明媚。",
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"君须早折,一枝浓艳,莫待过芳菲。",
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"四张机。",
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"鴛鴦織就欲雙飛。",
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"可憐未老頭先白。",
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"春波碧草,曉寒深處,相對浴紅衣。",
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"五张机。",
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"芳心密与巧心期。",
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"合欢树上枝连理。",
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"双头花下,两同心处,一对化生儿。",
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"六张机。",
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"雕花铺锦半离披。",
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"蘭房别有留春計。",
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"爐添小篆,日長一線,相對繡工遲。",
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"七张机。",
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"春蚕吐尽一生丝。",
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"莫教容易裁罗绮。",
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"无端翦破,仙鸾彩凤,分作两般衣。",
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"八张机。",
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"纤纤玉手住无时。",
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"蜀江濯尽春波媚。",
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"香遗囊麝,花房绣被,归去意迟迟。",
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"九张机。",
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"一心长在百花枝。",
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"百花共作紅堆被。",
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"都將春色,藏頭裏面,不怕睡多時。",
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"轻丝。",
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"象床玉手出新奇。",
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"千花万草光凝碧。",
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"裁缝衣著,春天歌舞,飞蝶语黄鹂。",
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"春衣。",
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"素丝染就已堪悲。",
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"尘世昏污无颜色。",
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"應同秋扇,從兹永棄,無復奉君時。",
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"歌聲飛落畫梁塵,舞罷香風捲繡茵。",
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"更欲縷陳機上恨,尊前忽有斷腸人。"
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],
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"rhythmic": "九张机"
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},
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{
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"author": "张孝祥",
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"paragraphs": [
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"只倚精忠不要兵。",
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"卷旗直入蔡州城。",
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"贼营半夜落妖星。",
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"万旅云屯看整暇,十眉环坐却娉婷。",
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"白麻早晚下天庭。"
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],
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"rhythmic": "浣溪沙"
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}
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]
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646
宋词/ci.song.21000.json
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宋词/ci.song.21000.json
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13682
宋词/ci.song.3000.json
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宋词/ci.song.3000.json
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宋词/ci.song.4000.json
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宋词/ci.song.4000.json
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13199
宋词/ci.song.5000.json
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13199
宋词/ci.song.5000.json
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13180
宋词/ci.song.6000.json
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13180
宋词/ci.song.6000.json
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13685
宋词/ci.song.7000.json
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13685
宋词/ci.song.7000.json
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13184
宋词/ci.song.8000.json
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13184
宋词/ci.song.8000.json
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13271
宋词/ci.song.9000.json
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宋词/ci.song.9000.json
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46
宋词/main.py
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46
宋词/main.py
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#!-*- coding: utf-8 -*-
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import json, sys
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import sqlite3
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from collections import OrderedDict
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try: # Python 2
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reload(sys)
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sys.setdefaultencoding('utf-8')
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except NameError: # Python 3
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pass
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c = sqlite3.connect('ci.db')
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cursor = c.execute("SELECT name, long_desc, short_desc from ciauthor;")
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d = {"name": None, "description": None, "short_description": None}
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authors = []
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for row in cursor:
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author = OrderedDict(sorted(d.items(), key=lambda t: t[0]))
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author["name"] = row[0]
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author["description"] = row[1]
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author["short_description"] = row[2]
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authors.append(author)
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open('author.song.json', 'w').write(json.dumps(authors, indent=2, ensure_ascii=False))
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cursor = c.execute("SELECT rhythmic, author, content from ci;")
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d = {"rhythmic": None, "author": None, "paragraphs": None}
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cis = []
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for row in cursor:
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ci = OrderedDict(sorted(d.items(), key=lambda t: t[0]))
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ci["rhythmic"] = row[0]
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ci["author"] = row[1]
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ci["paragraphs"] = row[2].split('\n')
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cis.append(ci)
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for i in range(0, 21050, 1000):
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open('ci.song.%s.json' % i, 'w').write(json.dumps(cis[i:i+1000], indent=2, ensure_ascii=False))
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5098
宋词/宋词三百首.json
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5098
宋词/宋词三百首.json
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