pdf_title_image/extract_financial_report.py

# -*- coding: utf-8 -*-
# @Author: privacy
# @Date:   2024-06-11 13:43:14
# @Last Modified by:   privacy
# @Last Modified time: 2024-09-26 14:38:53
import os
import re

from tqdm import tqdm
from ocr import find_current_row
from commonprocess import pic_ocr
from instance_locate import get_instances_by_title


def is_price(word: str) -> bool:
    pattern = (
        r"(?:\b(?:[BS]/\.|R(?:D?\$|p))|\b(?:[TN]T|[CJZ])\$|Дин\.|\b(?:Bs|Ft|Gs"
        r"|K[Mč]|Lek|B[Zr]|k[nr]|[PQLSR]|лв|ден|RM|MT|lei|zł|USD|GBP|EUR|JPY"
        r"|CHF|SEK|DKK|NOK|SGD|HKD|AUD|TWD|NZD|CNY|KRW|INR|CAD|VEF|EGP|THB|IDR"
        r"|PKR|MYR|PHP|MXN|VND|CZK|HUF|PLN|TRY|ZAR|ILS|ARS|CLP|BRL|RUB|QAR|AED"
        r"|COP|PEN|CNH|KWD|SAR)|\$[Ub]|"
        r"[^\w\s])\s?(?:\d{1,3}(?:,\d{3})*|\d+)(?:\.\d{1,2})?(?!\.?\d)"
    )
    char_set = set('1234567890,.')
    if re.fullmatch(pattern, word):
        return True
    elif sum([0 if s in char_set else 1 for s in word]) == 0:
        return True
    else:
        return False


def extract_financial_report(title_list: list, table_list: list, image_list: list, year: int) -> list:
    """
    财报解析

    Args:
        path:
        title_list: 标题列表
        table_list: 表格列表
        image_list: 图片列表
        year:       年份

    Returns:
        results
    """

    instances = get_instances_by_title(
        title_list=title_list,
        table_list=table_list,
        image_list=image_list,
        instances=[
            '财务状况',
            '近年财务状况表',
            '{}年审计报告'.format(year - 1),
            '{}年审计报告'.format(year - 2),
            '{}年财务审计报告'.format(year - 1),
            '{}年财务审计报告'.format(year - 2)
        ]
    )

    print("instances: ", instances)   


    # TODO 后续内容出现问题
    # Wrong titles extracted at 2020 年度审计报告 
    # Wrong titles extracted at 2021 年度审计报告 
    # Wrong titles extracted at 附件二  近年财务状况表

    results = []

    for item in instances:
        if item['page_number'] >= item['end_page']:
        # if item['page_number'] > item['end_page']:
            print('Wrong titles extracted at {}'.format(item['title']))
        elif item['tables']:
            # table_name = [t['table_name'] for t in item['tables']]
            table_name = [t['table_name'] if t['table_name'] else item["title"] for t in item['tables']]
            profits = []
            for table in item['tables']:
                profit = []
                for row in table['table']:
                    if list(filter(lambda x: re.match(r'.*利润.*', x) is not None, row)):
                        profit.append(row)
                profits.append(profit)
            results.append({
                'title': table_name,
                'result': profits,
                'pages': [i['page_numbers'] for i in item['tables']],
                'chapter': item['title']
            })
        elif item.get('images'):
            print('未找到表格 图片识别中')
            print(item.get('images'))

            pages = [
                img['page_number'] for img in item.get('images')
            ]

            ocr_results = [
                # pic_ocr.apply_async(kwargs={'image_path': img['image_name']}).get(timeout=30)['rawjson']['ret']
                pic_ocr(image_path = img['image_name'])['rawjson']['ret']
                for img in item.get('images')
            ]

            candidate = []
            rows = []
            print('结果分析中')

            for i, ret in tqdm(enumerate(ocr_results)):
                for res in ret:
                    if re.match(r'.*(净利润).*', res['word']) is not None:
                    # if re.match(r'.*(利润).*', res['word']) is not None:
                        top = res['rect']['top']
                        bottom = res['rect']['top'] - res['rect']['height']
                        candidate.append(
                            {
                                'page': pages[i],
                                'text': res['word'],
                                'top': top,
                                'bottom': bottom,
                            }
                        )
                        rows.append(find_current_row(ret, top, bottom))
            for it in candidate:
                print('定位:\t{}\t定位词:\t{}'.format(it['page'], it['text']))

            for i, row in enumerate(rows):
                title = []
                profits = []
                for w in row:
                    if is_price(w['word']):
                        profits.append(w['word'])
                    else:
                        title.append(w['word'])
                if title and profits:
                    results.append({
                        'chapter': item['title'],
                        'page': candidate[i]['page'],
                        'title': title,
                        'result': profits
                    })

    return results


if __name__ == '__main__':
    pass
    # import json
    # import datetime
    # from settings import title_n_path, table_list_path, image_path

    # with open(title_n_path, 'r', encoding='utf-8') as fp:
    #     title_list = json.load(fp)

    # with open(table_list_path, 'r', encoding='utf-8') as fp:
    #     table_list = json.load(fp)

    # with open(image_path, 'r', encoding='utf-8') as fp:
    #     image_list = json.load(fp)

    # y = datetime.datetime.now().year

    # print(
    #     extract_financial_report(
    #         title_list=title_list,
    #         table_list=table_list,
    #         image_list=image_list,
    #         year=2022
    #     )
    # )