vlm_magic_model.py 16 KB
Newer Older
luopl's avatar
luopl committed
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
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
import re
from typing import Literal

from loguru import logger

from mineru.utils.boxbase import calculate_overlap_area_in_bbox1_area_ratio
from mineru.utils.enum_class import ContentType, BlockType
from mineru.utils.guess_suffix_or_lang import guess_language_by_text
from mineru.utils.magic_model_utils import reduct_overlap, tie_up_category_by_distance_v3


class MagicModel:
    def __init__(self, page_blocks: list, width, height):
        self.page_blocks = page_blocks

        blocks = []
        self.all_spans = []
        # 解析每个块
        for index, block_info in enumerate(page_blocks):
            block_bbox = block_info["bbox"]
            try:
                x1, y1, x2, y2 = block_bbox
                x_1, y_1, x_2, y_2 = (
                    int(x1 * width),
                    int(y1 * height),
                    int(x2 * width),
                    int(y2 * height),
                )
                if x_2 < x_1:
                    x_1, x_2 = x_2, x_1
                if y_2 < y_1:
                    y_1, y_2 = y_2, y_1
                block_bbox = (x_1, y_1, x_2, y_2)
                block_type = block_info["type"]
                block_content = block_info["content"]
                block_angle = block_info["angle"]

                # print(f"坐标: {block_bbox}")
                # print(f"类型: {block_type}")
                # print(f"内容: {block_content}")
                # print("-" * 50)
            except Exception as e:
                # 如果解析失败,可能是因为格式不正确,跳过这个块
                logger.warning(f"Invalid block format: {block_info}, error: {e}")
                continue

            span_type = "unknown"
            line_type = None
            guess_lang = None

            if block_type in [
                "text",
                "title",
                "image_caption",
                "image_footnote",
                "table_caption",
                "table_footnote",
                "code_caption",
                "ref_text",
                "phonetic",
                "header",
                "footer",
                "page_number",
                "aside_text",
                "page_footnote",
                "list"
            ]:
                span_type = ContentType.TEXT
            elif block_type in ["image"]:
                block_type = BlockType.IMAGE_BODY
                span_type = ContentType.IMAGE
            elif block_type in ["table"]:
                block_type = BlockType.TABLE_BODY
                span_type = ContentType.TABLE
            elif block_type in ["code", "algorithm"]:
                block_content = code_content_clean(block_content)
                line_type = block_type
                block_type = BlockType.CODE_BODY
                span_type = ContentType.TEXT
                guess_lang = guess_language_by_text(block_content)
            elif block_type in ["equation"]:
                block_type = BlockType.INTERLINE_EQUATION
                span_type = ContentType.INTERLINE_EQUATION

            if span_type in ["image", "table"]:
                span = {
                    "bbox": block_bbox,
                    "type": span_type,
                }
                if span_type == ContentType.TABLE:
                    span["html"] = block_content
            elif span_type in [ContentType.INTERLINE_EQUATION]:
                span = {
                    "bbox": block_bbox,
                    "type": span_type,
                    "content": isolated_formula_clean(block_content),
                }
            else:

                if block_content:
                    block_content = clean_content(block_content)

                if block_content and block_content.count("\\(") == block_content.count("\\)") and block_content.count("\\(") > 0:

                    # 生成包含文本和公式的span列表
                    spans = []
                    last_end = 0

                    # 查找所有公式
                    for match in re.finditer(r'\\\((.+?)\\\)', block_content):
                        start, end = match.span()

                        # 添加公式前的文本
                        if start > last_end:
                            text_before = block_content[last_end:start]
                            if text_before.strip():
                                spans.append({
                                    "bbox": block_bbox,
                                    "type": ContentType.TEXT,
                                    "content": text_before
                                })

                        # 添加公式(去除\(和\))
                        formula = match.group(1)
                        spans.append({
                            "bbox": block_bbox,
                            "type": ContentType.INLINE_EQUATION,
                            "content": formula.strip()
                        })

                        last_end = end

                    # 添加最后一个公式后的文本
                    if last_end < len(block_content):
                        text_after = block_content[last_end:]
                        if text_after.strip():
                            spans.append({
                                "bbox": block_bbox,
                                "type": ContentType.TEXT,
                                "content": text_after
                            })

                    span = spans
                else:
                    span = {
                        "bbox": block_bbox,
                        "type": span_type,
                        "content": block_content,
                    }

            # 处理span类型并添加到all_spans
            if isinstance(span, dict) and "bbox" in span:
                self.all_spans.append(span)
                spans = [span]
            elif isinstance(span, list):
                self.all_spans.extend(span)
                spans = span
            else:
                raise ValueError(f"Invalid span type: {span_type}, expected dict or list, got {type(span)}")

            # 构造line对象
            if block_type in [BlockType.CODE_BODY]:
                line = {"bbox": block_bbox, "spans": spans, "extra": {"type": line_type, "guess_lang": guess_lang}}
            else:
                line = {"bbox": block_bbox, "spans": spans}

            blocks.append(
                {
                    "bbox": block_bbox,
                    "type": block_type,
                    "angle": block_angle,
                    "lines": [line],
                    "index": index,
                }
            )

        self.image_blocks = []
        self.table_blocks = []
        self.interline_equation_blocks = []
        self.text_blocks = []
        self.title_blocks = []
        self.code_blocks = []
        self.discarded_blocks = []
        self.ref_text_blocks = []
        self.phonetic_blocks = []
        self.list_blocks = []
        for block in blocks:
            if block["type"] in [BlockType.IMAGE_BODY, BlockType.IMAGE_CAPTION, BlockType.IMAGE_FOOTNOTE]:
                self.image_blocks.append(block)
            elif block["type"] in [BlockType.TABLE_BODY, BlockType.TABLE_CAPTION, BlockType.TABLE_FOOTNOTE]:
                self.table_blocks.append(block)
            elif block["type"] in [BlockType.CODE_BODY, BlockType.CODE_CAPTION]:
                self.code_blocks.append(block)
            elif block["type"] == BlockType.INTERLINE_EQUATION:
                self.interline_equation_blocks.append(block)
            elif block["type"] == BlockType.TEXT:
                self.text_blocks.append(block)
            elif block["type"] == BlockType.TITLE:
                self.title_blocks.append(block)
            elif block["type"] in [BlockType.REF_TEXT]:
                self.ref_text_blocks.append(block)
            elif block["type"] in [BlockType.PHONETIC]:
                self.phonetic_blocks.append(block)
            elif block["type"] in [BlockType.HEADER, BlockType.FOOTER, BlockType.PAGE_NUMBER, BlockType.ASIDE_TEXT, BlockType.PAGE_FOOTNOTE]:
                self.discarded_blocks.append(block)
            elif block["type"] == BlockType.LIST:
                self.list_blocks.append(block)
            else:
                continue

        self.list_blocks, self.text_blocks, self.ref_text_blocks = fix_list_blocks(self.list_blocks, self.text_blocks, self.ref_text_blocks)
        self.image_blocks, not_include_image_blocks = fix_two_layer_blocks(self.image_blocks, BlockType.IMAGE)
        self.table_blocks, not_include_table_blocks = fix_two_layer_blocks(self.table_blocks, BlockType.TABLE)
        self.code_blocks, not_include_code_blocks = fix_two_layer_blocks(self.code_blocks, BlockType.CODE)
        for code_block in self.code_blocks:
            for block in code_block['blocks']:
                if block['type'] == BlockType.CODE_BODY:
                    if len(block["lines"]) > 0:
                        line = block["lines"][0]
                        code_block["sub_type"] = line["extra"]["type"]
                        if code_block["sub_type"] in ["code"]:
                            code_block["guess_lang"] = line["extra"]["guess_lang"]
                        del line["extra"]
                    else:
                        code_block["sub_type"] = "code"
                        code_block["guess_lang"] = "txt"

        for block in not_include_image_blocks + not_include_table_blocks + not_include_code_blocks:
            block["type"] = BlockType.TEXT
            self.text_blocks.append(block)


    def get_list_blocks(self):
        return self.list_blocks

    def get_image_blocks(self):
        return self.image_blocks

    def get_table_blocks(self):
        return self.table_blocks

    def get_code_blocks(self):
        return self.code_blocks

    def get_ref_text_blocks(self):
        return self.ref_text_blocks

    def get_phonetic_blocks(self):
        return self.phonetic_blocks

    def get_title_blocks(self):
        return self.title_blocks

    def get_text_blocks(self):
        return self.text_blocks

    def get_interline_equation_blocks(self):
        return self.interline_equation_blocks

    def get_discarded_blocks(self):
        return self.discarded_blocks

    def get_all_spans(self):
        return self.all_spans


def isolated_formula_clean(txt):
    latex = txt[:]
    if latex.startswith("\\["): latex = latex[2:]
    if latex.endswith("\\]"): latex = latex[:-2]
    latex = latex.strip()
    return latex


def code_content_clean(content):
    """清理代码内容,移除Markdown代码块的开始和结束标记"""
    if not content:
        return ""

    lines = content.splitlines()
    start_idx = 0
    end_idx = len(lines)

    # 处理开头的三个反引号
    if lines and lines[0].startswith("```"):
        start_idx = 1

    # 处理结尾的三个反引号
    if lines and end_idx > start_idx and lines[end_idx - 1].strip() == "```":
        end_idx -= 1

    # 只有在有内容时才进行join操作
    if start_idx < end_idx:
        return "\n".join(lines[start_idx:end_idx]).strip()
    return ""


def clean_content(content):
    if content and content.count("\\[") == content.count("\\]") and content.count("\\[") > 0:
        # Function to handle each match
        def replace_pattern(match):
            # Extract content between \[ and \]
            inner_content = match.group(1)
            return f"[{inner_content}]"

        # Find all patterns of \[x\] and apply replacement
        pattern = r'\\\[(.*?)\\\]'
        content = re.sub(pattern, replace_pattern, content)

    return content


def __tie_up_category_by_distance_v3(blocks, subject_block_type, object_block_type):
    # 定义获取主体和客体对象的函数
    def get_subjects():
        return reduct_overlap(
            list(
                map(
                    lambda x: {"bbox": x["bbox"], "lines": x["lines"], "index": x["index"], "angle":x["angle"]},
                    filter(
                        lambda x: x["type"] == subject_block_type,
                        blocks,
                    ),
                )
            )
        )

    def get_objects():
        return reduct_overlap(
            list(
                map(
                    lambda x: {"bbox": x["bbox"], "lines": x["lines"], "index": x["index"], "angle":x["angle"]},
                    filter(
                        lambda x: x["type"] == object_block_type,
                        blocks,
                    ),
                )
            )
        )

    # 调用通用方法
    return tie_up_category_by_distance_v3(
        get_subjects,
        get_objects
    )


def get_type_blocks(blocks, block_type: Literal["image", "table", "code"]):
    with_captions = __tie_up_category_by_distance_v3(blocks, f"{block_type}_body", f"{block_type}_caption")
    with_footnotes = __tie_up_category_by_distance_v3(blocks, f"{block_type}_body", f"{block_type}_footnote")
    ret = []
    for v in with_captions:
        record = {
            f"{block_type}_body": v["sub_bbox"],
            f"{block_type}_caption_list": v["obj_bboxes"],
        }
        filter_idx = v["sub_idx"]
        d = next(filter(lambda x: x["sub_idx"] == filter_idx, with_footnotes))
        record[f"{block_type}_footnote_list"] = d["obj_bboxes"]
        ret.append(record)
    return ret


def fix_two_layer_blocks(blocks, fix_type: Literal["image", "table", "code"]):
    need_fix_blocks = get_type_blocks(blocks, fix_type)
    fixed_blocks = []
    not_include_blocks = []
    processed_indices = set()

    # 处理需要组织成two_layer结构的blocks
    for block in need_fix_blocks:
        body = block[f"{fix_type}_body"]
        caption_list = block[f"{fix_type}_caption_list"]
        footnote_list = block[f"{fix_type}_footnote_list"]

        body["type"] = f"{fix_type}_body"
        for caption in caption_list:
            caption["type"] = f"{fix_type}_caption"
            processed_indices.add(caption["index"])
        for footnote in footnote_list:
            footnote["type"] = f"{fix_type}_footnote"
            processed_indices.add(footnote["index"])

        processed_indices.add(body["index"])

        two_layer_block = {
            "type": fix_type,
            "bbox": body["bbox"],
            "blocks": [
                body,
            ],
            "index": body["index"],
        }
        two_layer_block["blocks"].extend([*caption_list, *footnote_list])

        fixed_blocks.append(two_layer_block)

    # 添加未处理的blocks
    for block in blocks:
        if block["index"] not in processed_indices:
            # 直接添加未处理的block
            not_include_blocks.append(block)

    return fixed_blocks, not_include_blocks


def fix_list_blocks(list_blocks, text_blocks, ref_text_blocks):
    for list_block in list_blocks:
        list_block["blocks"] = []
        if "lines" in list_block:
            del list_block["lines"]

    temp_text_blocks = text_blocks + ref_text_blocks
    need_remove_blocks = []
    for block in temp_text_blocks:
        for list_block in list_blocks:
            if calculate_overlap_area_in_bbox1_area_ratio(block["bbox"], list_block["bbox"]) >= 0.8:
                list_block["blocks"].append(block)
                need_remove_blocks.append(block)
                break

    for block in need_remove_blocks:
        if block in text_blocks:
            text_blocks.remove(block)
        elif block in ref_text_blocks:
            ref_text_blocks.remove(block)

    # 移除blocks为空的list_block
    list_blocks = [lb for lb in list_blocks if lb["blocks"]]

    for list_block in list_blocks:
        # 统计list_block["blocks"]中所有block的type,用众数作为list_block的sub_type
        type_count = {}
        line_content = []
        for sub_block in list_block["blocks"]:
            sub_block_type = sub_block["type"]
            if sub_block_type not in type_count:
                type_count[sub_block_type] = 0
            type_count[sub_block_type] += 1

        if type_count:
            list_block["sub_type"] = max(type_count, key=type_count.get)
        else:
            list_block["sub_type"] = "unknown"

    return list_blocks, text_blocks, ref_text_blocks