File size: 7,123 Bytes
4a858d3
96a1a44
 
 
41c7a59
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4c52eb9
41c7a59
 
 
 
4c52eb9
41c7a59
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223


from nltk.stem import PorterStemmer
stemmer = PorterStemmer()

import re
from nltk import word_tokenize
from . import huqie
from rag.utils import num_tokens_from_string
import random

BULLET_PATTERN = [[
    r"第[零一二三四五六七八九十百0-9]+(分?编|部分)",
    r"第[零一二三四五六七八九十百0-9]+章",
    r"第[零一二三四五六七八九十百0-9]+节",
    r"第[零一二三四五六七八九十百0-9]+条",
    r"[\((][零一二三四五六七八九十百]+[\))]",
], [
    r"第[0-9]+章",
    r"第[0-9]+节",
    r"[0-9]{,3}[\. 、]",
    r"[0-9]{,2}\.[0-9]{,2}",
    r"[0-9]{,2}\.[0-9]{,2}\.[0-9]{,2}",
    r"[0-9]{,2}\.[0-9]{,2}\.[0-9]{,2}\.[0-9]{,2}",
], [
    r"第[零一二三四五六七八九十百0-9]+章",
    r"第[零一二三四五六七八九十百0-9]+节",
    r"[零一二三四五六七八九十百]+[ 、]",
    r"[\((][零一二三四五六七八九十百]+[\))]",
    r"[\((][0-9]{,2}[\))]",
], [
    r"PART (ONE|TWO|THREE|FOUR|FIVE|SIX|SEVEN|EIGHT|NINE|TEN)",
    r"Chapter (I+V?|VI*|XI|IX|X)",
    r"Section [0-9]+",
    r"Article [0-9]+"
]
]


def random_choices(arr, k):
    k = min(len(arr), k)
    return random.choices(arr, k=k)


def bullets_category(sections):
    global BULLET_PATTERN
    hits = [0] * len(BULLET_PATTERN)
    for i, pro in enumerate(BULLET_PATTERN):
        for sec in sections:
            for p in pro:
                if re.match(p, sec):
                    hits[i] += 1
                    break
    maxium = 0
    res = -1
    for i, h in enumerate(hits):
        if h <= maxium: continue
        res = i
        maxium = h
    return res


def is_english(texts):
    eng = 0
    for t in texts:
        if re.match(r"[a-zA-Z]{2,}", t.strip()):
            eng += 1
    if eng / len(texts) > 0.8:
        return True
    return False


def tokenize(d, t, eng):
    d["content_with_weight"] = t
    if eng:
        t = re.sub(r"([a-z])-([a-z])", r"\1\2", t)
        d["content_ltks"] = " ".join([stemmer.stem(w) for w in word_tokenize(t)])
    else:
        d["content_ltks"] = huqie.qie(t)
        d["content_sm_ltks"] = huqie.qieqie(d["content_ltks"])


def remove_contents_table(sections, eng=False):
    i = 0
    while i < len(sections):
        def get(i):
            nonlocal sections
            return (sections[i] if type(sections[i]) == type("") else sections[i][0]).strip()

        if not re.match(r"(contents|目录|目次|table of contents|致谢|acknowledge)$",
                        re.sub(r"( | |\u3000)+", "", get(i).split("@@")[0], re.IGNORECASE)):
            i += 1
            continue
        sections.pop(i)
        if i >= len(sections): break
        prefix = get(i)[:3] if not eng else " ".join(get(i).split(" ")[:2])
        while not prefix:
            sections.pop(i)
            if i >= len(sections): break
            prefix = get(i)[:3] if not eng else " ".join(get(i).split(" ")[:2])
        sections.pop(i)
        if i >= len(sections) or not prefix: break
        for j in range(i, min(i + 128, len(sections))):
            if not re.match(prefix, get(j)):
                continue
            for _ in range(i, j): sections.pop(i)
            break


def make_colon_as_title(sections):
    if not sections: return []
    if type(sections[0]) == type(""): return sections
    i = 0
    while i < len(sections):
        txt, layout = sections[i]
        i += 1
        txt = txt.split("@")[0].strip()
        if not txt:
            continue
        if txt[-1] not in "::":
            continue
        txt = txt[::-1]
        arr = re.split(r"([。?!!?;;]| .)", txt)
        if len(arr) < 2 or len(arr[1]) < 32:
            continue
        sections.insert(i - 1, (arr[0][::-1], "title"))
        i += 1


def hierarchical_merge(bull, sections, depth):
    if not sections or bull < 0: return []
    if type(sections[0]) == type(""): sections = [(s, "") for s in sections]
    sections = [(t,o) for t, o in sections if t and len(t.split("@")[0].strip()) > 1 and not re.match(r"[0-9]+$", t.split("@")[0].strip())]
    bullets_size = len(BULLET_PATTERN[bull])
    levels = [[] for _ in range(bullets_size + 2)]

    def not_title(txt):
        if re.match(r"第[零一二三四五六七八九十百0-9]+条", txt): return False
        if len(txt) >= 128: return True
        return re.search(r"[,;,。;!!]", txt)

    for i, (txt, layout) in enumerate(sections):
        for j, p in enumerate(BULLET_PATTERN[bull]):
            if re.match(p, txt.strip()) and not not_title(txt):
                levels[j].append(i)
                break
        else:
            if re.search(r"(title|head)", layout):
                levels[bullets_size].append(i)
            else:
                levels[bullets_size + 1].append(i)
    sections = [t for t, _ in sections]
    for s in sections: print("--", s)

    def binary_search(arr, target):
        if not arr: return -1
        if target > arr[-1]: return len(arr) - 1
        if target < arr[0]: return -1
        s, e = 0, len(arr)
        while e - s > 1:
            i = (e + s) // 2
            if target > arr[i]:
                s = i
                continue
            elif target < arr[i]:
                e = i
                continue
            else:
                assert False
        return s

    cks = []
    readed = [False] * len(sections)
    levels = levels[::-1]
    for i, arr in enumerate(levels[:depth]):
        for j in arr:
            if readed[j]: continue
            readed[j] = True
            cks.append([j])
            if i + 1 == len(levels) - 1: continue
            for ii in range(i + 1, len(levels)):
                jj = binary_search(levels[ii], j)
                if jj < 0: continue
                if jj > cks[-1][-1]: cks[-1].pop(-1)
                cks[-1].append(levels[ii][jj])
            for ii in cks[-1]: readed[ii] = True
    for i in range(len(cks)):
        cks[i] = [sections[j] for j in cks[i][::-1]]
        print("--------------\n", "\n* ".join(cks[i]))

    return cks


def naive_merge(sections, chunk_token_num=128, delimiter="\n。;!?"):
    if not sections: return []
    if type(sections[0]) == type(""): sections = [(s, "") for s in sections]
    cks = [""]
    tk_nums = [0]
    def add_chunk(t, pos):
        nonlocal cks, tk_nums, delimiter
        tnum = num_tokens_from_string(t)
        if tnum < 8: pos = ""
        if tk_nums[-1] > chunk_token_num:
            cks.append(t + pos)
            tk_nums.append(tnum)
        else:
            cks[-1] += t + pos
            tk_nums[-1] += tnum

    for sec, pos in sections:
        s, e = 0, 1
        while e < len(sec):
            if sec[e] in delimiter:
                add_chunk(sec[s: e+1], pos)
                s = e + 1
                e = s + 1
            else:
                e += 1
        if s < e: add_chunk(sec[s: e], pos)

    return cks