From 3114f946f66618bbe760f6231d5cf969b83f99bb Mon Sep 17 00:00:00 2001 From: aries_ckt <916701291@qq.com> Date: Thu, 25 Jul 2024 21:57:05 +0800 Subject: [PATCH] chore:delete unusual files --- dbgpt/app/scene/base.py | 7 - dbgpt/app/scene/base_chat.py | 4 - dbgpt/rag/extractor/financial_table.py | 1247 ----------------- .../fin_report/chat_indicator.png | Bin 0 -> 495212 bytes .../fin_report/report_analyze.png | Bin 0 -> 1400506 bytes 5 files changed, 1258 deletions(-) delete mode 100644 dbgpt/rag/extractor/financial_table.py create mode 100644 docs/static/img/chat_knowledge/fin_report/chat_indicator.png create mode 100644 docs/static/img/chat_knowledge/fin_report/report_analyze.png diff --git a/dbgpt/app/scene/base.py b/dbgpt/app/scene/base.py index e9c19f697..e96d5ba2f 100644 --- a/dbgpt/app/scene/base.py +++ b/dbgpt/app/scene/base.py @@ -107,13 +107,6 @@ class ChatScene(Enum): ["Extract Select"], True, ) - ChatFinReport = Scene( - "chat_fin_report", - "Chat Financial Report", - "Chat Financial Report", - ["Chat Financial Report"], - True, - ) QueryRewrite = Scene( "query_rewrite", "query_rewrite", "query_rewrite", ["query_rewrite"], True ) diff --git a/dbgpt/app/scene/base_chat.py b/dbgpt/app/scene/base_chat.py index 264be4383..9e9a7896e 100644 --- a/dbgpt/app/scene/base_chat.py +++ b/dbgpt/app/scene/base_chat.py @@ -329,10 +329,6 @@ async def nostream_call(self): ) return self.current_ai_response() - async def fin_call(self): - """fin chat call""" - pass - @async_retry( retries=CFG.DBGPT_APP_SCENE_NON_STREAMING_RETRIES_BASE, parallel_executions=CFG.DBGPT_APP_SCENE_NON_STREAMING_PARALLELISM_BASE, diff --git a/dbgpt/rag/extractor/financial_table.py b/dbgpt/rag/extractor/financial_table.py deleted file mode 100644 index 00c7dc203..000000000 --- a/dbgpt/rag/extractor/financial_table.py +++ /dev/null @@ -1,1247 +0,0 @@ -"""FinTableExtractor.""" -import json -import logging -import os -import re - -import pandas as pd - -logger = logging.getLogger(__name__) - - -class FinTableProcessor: - """FinTableProcessor.""" - - def __init__(self, txt_path): - """FinTableProcessor.""" - self.txt_path = txt_path - self.all_data = [] - self.all_table = [] - self.all_title = [] - - def read_file(self): - """Read file and store data in self.all_data.""" - with open(self.txt_path, "r") as file: - for line in file: - data = eval(line) - print(data) - # ignore页眉 and 页脚 - if data and data["type"] not in ["页眉", "页脚"] and data["inside"] != "": - self.all_data.append(data) - - def process_text_data(self): - """Text data processing to level 1 and level 2 titles.""" - for i in range(len(self.all_data)): - data = self.all_data[i] - inside_content = data.get("inside") - content_type = data.get("type") - if content_type == "text": - # use regex to match the first level title - first_level_match = re.match( - r"§(\d+)+([\u4e00-\u9fa5]+)", inside_content.strip() - ) - second_level_match = re.match( - r"(\d+\.\d+)([\u4e00-\u9fa5]+)", inside_content.strip() - ) - first_num_match = re.match(r"^§(\d+)$", inside_content.strip()) - # get all level 1 titles - title_name = [ - dictionary["first_title"] - for dictionary in self.all_title - if "first_title" in dictionary - ] - if first_level_match: - first_title_text = first_level_match.group(2) - first_title_num = first_level_match.group(1) - first_title = first_title_num + first_title_text - # the title does not contain "..." and is not in the title list - # , add it to the title list - if first_title not in title_name and ( - int(first_title_num) == 1 - or int(first_title_num) - int(self.all_title[-1]["id"]) == 1 - ): - current_entry = { - "id": first_title_num, - "first_title": first_title, - "second_title": [], - "table": [], - } - self.all_title.append(current_entry) - - elif second_level_match: - second_title_name = second_level_match.group(0) - second_title = second_level_match.group(1) - first_title = second_title.split(".")[0] - if (int(first_title) - 1 >= len(self.all_title)) or int( - first_title - ) - 1 < 0: - continue - else: - titles = [ - sub_item["title"] - for sub_item in self.all_title[int(first_title) - 1][ - "second_title" - ] - ] - if second_title_name not in titles: - self.all_title[int(first_title) - 1]["second_title"].append( - {"title": second_title_name, "table": []} - ) - elif first_num_match: - first_num = first_num_match.group(1) - first_text = self.all_data[i + 1].get("inside") - first_title = first_num_match.group(1) + first_text - # if the title does not contain "..." and is not in the title list - if ( - "..." not in first_text - and first_title not in title_name - and ( - int(first_num) == 1 - or int(first_num) - int(self.all_title[-1]["id"]) == 1 - ) - ): - current_entry = { - "id": first_num, - "first_title": first_title, - "second_title": [], - "table": [], - } - self.all_title.append(current_entry) - - def process_excel_data(self): - """Process excel data.""" - temp_table = [] - temp_title = None - - for i in range(len(self.all_data)): - data = self.all_data[i] - inside_content = data.get("inside") - content_type = data.get("type") - if content_type == "excel": - temp_table.append(inside_content) - if temp_title is None: - for j in range(i - 1, -1, -1): - if self.all_data[j]["type"] == "excel": - break - if self.all_data[j]["type"] == "text": - content = self.all_data[j]["inside"] - if re.match(r"^\d+\.\d+", content) or content.startswith( - "§" - ): - temp_title = content.strip() - break - elif content_type == "text" and temp_title is not None: - self.all_table.append({"title": temp_title, "table": temp_table}) - temp_title = None - temp_table = [] - - def process_tables(self): - """Process table data.""" - for table in self.all_table: - title = table["title"] - table_content = table["table"] - first_match = re.match(r"§(\d+)(.+)", title) - second_match = re.match(r"(\d+)\.(\d+)(.+)", title) - try: - if first_match: - first_title = first_match.group(1) - text_part = first_match.group(2) - table_pair = { - "table_name": text_part, - "table_content": table_content, - } - # self.all_title - for item in self.all_title: - # if the title is in the title list, add the table to the title - if item["id"] == first_title: - item["table"].append(table_pair) - break - - elif second_match: - for index, char in enumerate(title): - if not char.isdigit() and char != ".": - break - table_name = title[index:] - first_title, second_title = ( - second_match.group(1), - int(second_match.group(2)) - 1, - ) - table_pair = { - "table_name": table_name, - "table_content": table_content, - } - for item in self.all_title: - if item["id"] == first_title: - item["second_title"][second_title]["table"].append( - table_pair - ) - except Exception: - # if the title is not in the title list, print an error message - print( - "Error: file exist title error, file,{} title, {}".format( - self.txt_path, title - ) - ) - break - - def create_excel_files(self, output_folder): - """Create excel files.""" - for item in self.all_title: - first_title = item["first_title"] - second_title = item["second_title"] - folder_path = os.path.join(output_folder, first_title) - os.makedirs(folder_path, exist_ok=True) - first_title_table_data = item["table"] - try: - if first_title_table_data != []: - for table_item in first_title_table_data: - table_name = table_item["table_name"] - excel_name = f"{table_name}.xlsx" - excel_path = os.path.join(folder_path, excel_name) - table_content = table_item["table_content"] - table_content = [eval(item) for item in table_content] - # Use the first sublist as column names and - # the remaining sublists as data rows - - # The number of columns in the first row is - # the maximum number of columns - max_cols = len(table_content[0]) - for row in table_content: - # If the number of columns in the current row exceeds - # the maximum number of columns - if len(row) > max_cols: - for i in range(max_cols, len(row)): - # Merge excess values ​​into the maximum - # number of columns of the current row - row[max_cols - 1] += "," + row[i] - del row[max_cols:] - - # 创建 DataFrame - df = pd.DataFrame(table_content[1:], columns=table_content[0]) - df.to_excel(excel_path, index=False) - else: - for table_item in second_title: - second_folder_path = os.path.join( - folder_path, table_item["title"] - ) - os.makedirs(second_folder_path, exist_ok=True) - for table in table_item["table"]: - table_name = table["table_name"].replace("/", "或") - table_content = table["table_content"] - table_content = [eval(item) for item in table_content] - excel_name = f"{table_name}.xlsx" - excel_path = os.path.join(second_folder_path, excel_name) - # The number of columns in the first row is the maximum - # number of columns - max_cols = len(table_content[0]) - for row in table_content: - # If the number of columns in the current row exceeds - # the maximum number of columns - if len(row) > max_cols: - # Merge excess values ​​into the maximum - # number of columns of the current row - for i in range(max_cols, len(row)): - row[max_cols - 1] += "," + row[i] - del row[max_cols:] - # create DataFrame - df = pd.DataFrame( - table_content[1:], columns=table_content[0] - ) - df.to_excel(excel_path, index=False) - except Exception: - # match column contains year, month, date. - logger.error( - "Error: 文件<{}>中的表格<{}>有误,拆分处理".format(self.txt_path, table_name) - ) - pattern = r"\d{4}年\d{1,2}月\d{1,2}日" - # Iterate through the column names of the first row - for i, column_name in enumerate(table_content[0]): - # If the column name matches the format containing year, - # month and day - if re.search(pattern, column_name): - # Merge the current column name and the adjacent column - # names on the left and right - table_content[0][i - 1] = " ".join( - [column_name, table_content[0][i - 1]] - ) - table_content[0][i + 1] = " ".join( - [column_name, table_content[0][i + 1]] - ) - # Delete the current column and adjacent columns to the - # left and right - del table_content[0][i] - print(table_content) - df = pd.DataFrame(table_content[1:], columns=table_content[0]) - df.to_excel(excel_path, index=False) - - all_title_path = os.path.join(output_folder, "all_data.json") - all_table_path = os.path.join(output_folder, "all_table.json") - with open(all_table_path, "w", encoding="utf-8") as f: - json.dump(self.all_table, f, ensure_ascii=False, indent=4) - with open(all_title_path, "w", encoding="utf-8") as f: - json.dump(self.all_title, f, ensure_ascii=False, indent=4) - - -class FinTableExtractor: - """Fin Report Table Extractor.""" - - def __init__(self, file_name): - """Fin Report Table Extractor.""" - self.file_name = file_name - - # extract text between check_re_1-check_re_2 - - def cut_all_text(self, check, check_re_1, check_re_2, all_text, line_dict, text): - """Cut all text.""" - if check is False and re.search(check_re_1, all_text): - check = True - if check and line_dict["type"] not in ["页眉", "页脚"]: - if not re.search(check_re_2, all_text): - if line_dict["inside"] != "": - text = text + line_dict["inside"] + "\n" - else: - check = False - return text, check - - def extract_base_col(self): - """Extract base info col.""" - allname = self.file_name.split("\\")[-1] - date, name, stock, short_name, year, else1 = allname.split("__") - stock2, short_name2, mail, address1, address2 = "", "", "", "", "" - chinese_name, chinese_name2, english_name, english_name2, web, boss = ( - "", - "", - "", - "", - "", - "", - ) - all_person, person11, person12, person13, person14, person15 = ( - "", - "", - "", - "", - "", - "", - ) - person21, person22, person23, person24, person25, person26, person27 = ( - "", - "", - "", - "", - "", - "", - "", - ) - with open(self.file_name, "r", encoding="utf-8") as file: - - lines = file.readlines() - for i in range(len(lines)): - line = lines[i] - line = line.replace("\n", "") - line_dict = json.loads(line) - try: - if line_dict["type"] not in ["页眉", "页脚", "text"]: - if stock2 == "" and re.search( - "股票代码'|证券代码'", line_dict["inside"] - ): - middle = ( - line_dict["inside"] - + "\n" - + json.loads(lines[i + 1].replace("\n", ""))["inside"] - ) - stock2_re = re.search("(?:0|6|3)\d{5}", middle) - if stock2_re: - stock2 = stock2_re.group() - answer_list = eval(line_dict["inside"]) + eval( - json.loads(lines[i + 1].replace("\n", ""))["inside"] - ) - for _answer in answer_list: - if not re.search( - "代码|股票|简称|交易所|A股|A 股|公司|上交所|科创版|名称", _answer - ) and _answer not in ["", " "]: - short_name2 = _answer - break - - def check_answers( - answer, - keywords_re, - check_chinese, - _answer=_answer, - line_dict=line_dict, - answer_list=answer_list, - ): - if answer == "" and re.search( - keywords_re, line_dict["inside"] - ): - answer_list = eval(line_dict["inside"]) - for _answer in answer_list: - keywords_re = keywords_re.replace("'", "") - if check_chinese: - if ( - not re.search(keywords_re, _answer) - and not re.search( - "[\u4e00-\u9fa5]", _answer - ) - and _answer not in ["", " "] - ): - answer = _answer - break - else: - if not re.search( - keywords_re, _answer - ) and _answer not in ["", " "]: - answer = _answer - break - return answer - - def check_person_answers( - answer, - all_answer, - keywords_re, - check_chinese, - _answer=_answer, - line_dict=line_dict, - answer_list=answer_list, - ): - if ( - answer == "" - and all_answer != "" - and re.search(keywords_re, line_dict["inside"]) - ): - answer_list = eval(line_dict["inside"]) - for _answer in answer_list: - keywords_re = keywords_re.replace("'", "") - if check_chinese: - if ( - not re.search(keywords_re, _answer) - and not re.search( - "[\u4e00-\u9fa5]", _answer - ) - and _answer not in ["", " "] - ): - answer = _answer - break - else: - if not re.search( - keywords_re, _answer - ) and _answer not in ["", " "]: - answer = _answer - break - - return answer - - mail = check_answers(mail, "'电子信箱|电子信箱'", True) - address1 = check_answers(address1, "'注册地址|注册地址'", False) - address2 = check_answers(address2, "'办公地址|办公地址'", False) - chinese_name = check_answers( - chinese_name, "'公司的中文名称|公司的中文名称'", False - ) - chinese_name2 = check_answers( - chinese_name2, "'中文简称|中文简称'", False - ) - english_name = check_answers( - english_name, "'公司的外文名称|公司的外文名称(?:(如有))?'", True - ) - english_name2 = check_answers( - english_name2, - "'公司的外文名称缩写|公司的外文名称缩写(?:(如有))?" "" "" "'", - True, - ) - web = check_answers( - web, "'公司(?:国际互联网)?网址|公司(?:国际互联网)?网址'", True - ) - boss = check_answers(boss, "'公司的法定代表人|公司的法定代表人'", False) - all_person = check_answers( - all_person, - "'(?:报告期末)?在职员工的数量合计(?:(人))?|(?:报告期末)?在职员工" - "的数量合计(?:(人))?'", - True, - ) - person11 = check_person_answers( - person11, all_person, "'生产人员|生产人员'", True - ) - person12 = check_person_answers( - person12, all_person, "'销售人员|销售人员'", True - ) - person13 = check_person_answers( - person13, all_person, "'技术人员|技术人员'", True - ) - person14 = check_person_answers( - person14, all_person, "'财务人员|财务人员'", True - ) - person15 = check_person_answers( - person15, all_person, "'行政人员|行政人员'", True - ) - - person21 = check_person_answers( - person21, all_person, "本科及以上'", True - ) - person22 = check_person_answers( - person22, all_person, "本科'", True - ) - person23 = check_person_answers( - person23, all_person, "硕士及以上'", True - ) - person24 = check_person_answers( - person24, all_person, "硕士'", True - ) - person25 = check_person_answers( - person25, all_person, "博士及以上'", True - ) - person26 = check_person_answers( - person26, all_person, "博士'", True - ) - - person27 = check_answers(person27, "公司研发人员的数量'", True) - - if ( - stock2 != "" - and mail != "" - and address1 != "" - and address2 != "" - and chinese_name != "" - and chinese_name2 != "" - and english_name != "" - and english_name2 != "" - and web != "" - and boss != "" - and all_person != "" - and person11 != "" - and person12 != "" - and person13 != "" - and person14 != "" - and person15 != "" - and person21 != "" - and person22 != "" - and person23 != "" - and person24 != "" - and person25 != "" - and person26 != "" - and person27 != "" - ): - break - except Exception: - print(line_dict) - new_row = { - "文件名": allname, - "日期": date, - "公司名称": name, - "股票代码": stock, - "股票简称": short_name, - "年份": year, - "类型": "年度报告", - "代码": stock2, - "简称": short_name2, - "电子信箱": mail, - "注册地址": address1, - "办公地址": address2, - "中文名称": chinese_name, - "中文简称": chinese_name2, - "外文名称": english_name, - "外文名称缩写": english_name2, - "公司网址": web, - "法定代表人": boss, - "职工总数": all_person, - "生产人员": person11, - "销售人员": person12, - "技术人员": person13, - "财务人员": person14, - "行政人员": person15, - "本科及以上人员": person21, - "本科人员": person22, - "硕士及以上人员": person23, - "硕士人员": person24, - "博士及以上人员": person25, - "博士人员": person26, - "研发人数": person27, - "全文": str(lines), - } - print("finish " + self.file_name) - return new_row - - # 提取指定文本 - def extract_fin_data(self): - """Extract financial data.""" - allname = self.file_name.split("\\")[-1] - date, name, stock, short_name, year, else1 = allname.split("__") - all_text = "" - text1, text2, text3, text4, text5 = ( - "", - "", - "", - "", - "", - ) - - check1, check2, check3, check4, check5 = ( - False, - False, - False, - False, - False, - ) - - answer_dict = {} - list2 = [ - "货币资金", - "结算备付金", - "拆出资金", - "交易性金融资产", - "以公允价值计量且其变动计入当期损益的金融资产", - "衍生金融资产", - "应收票据", - "应收账款", - "应收款项融资", - "预付款项", - "应收保费", - "应收分保账款", - "应收分保合同准备金", - "其他应收款", - "应收利息", - "应收股利", - "买入返售金融资产", - "存货", - "合同资产", - "持有待售资产", - "一年内到期的非流动资产", - "其他流动资产", - "流动资产合计", - "发放贷款和垫款", - "债权投资", - "可供出售金融资产", - "其他债权投资", - "持有至到期投资", - "长期应收款", - "长期股权投资", - "其他权益工具投资", - "其他非流动金融资产", - "投资性房地产", - "固定资产", - "在建工程", - "生产性生物资产", - "油气资产", - "使用权资产", - "无形资产", - "开发支出", - "商誉", - "长期待摊费用", - "递延所得税资产", - "其他非流动资产", - "非流动资产合计", - "资产总计", - "短期借款", - "向中央银行借款", - "拆入资金", - "交易性金融负债", - "以公允价值计量且其变动计入当期损益的金融负债", - "衍生金融负债", - "应付票据", - "应付账款", - "预收款项", - "合同负债", - "卖出回购金融资产款", - "吸收存款及同业存放", - "代理买卖证券款", - "代理承销证券款", - "应付职工薪酬", - "应交税费", - "其他应付款", - "应付利息", - "应付股利", - "应付手续费及佣金", - "应付分保账款", - "持有待售负债", - "一年内到期的非流动负债", - "其他流动负债", - "流动负债合计", - "保险合同准备金", - "长期借款", - "应付债券", - "租赁负债", - "长期应付款", - "长期应付职工薪酬", - "预计负债", - "递延收益", - "递延所得税负债", - "其他非流动负债", - "非流动负债合计", - "负债合计", - "股本", - "实收资本", - "其他权益工具", - "资本公积", - "库存股", - "其他综合收益", - "专项储备", - "盈余公积", - "一般风险准备", - "未分配利润", - "归属于母公司所有者权益合计", - "少数股东权益", - "所有者权益合计", - "负债和所有者权益总计", - "营业总收入", - "营业收入", - "利息收入", - "已赚保费", - "手续费及佣金收入", - "营业总成本", - "营业成本", - "利息支出", - "手续费及佣金支出", - "退保金", - "赔付支出净额", - "提取保险责任合同准备金净额", - "保单红利支出", - "分保费用", - "税金及附加", - "销售费用", - "管理费用", - "研发费用", - "财务费用", - "利息费用", - "其他收益", - "投资收益", - "其中:对联营企业和合营企业的投资收益", - "以摊余成本计量的金融资产终止确认收益", - "汇兑收益", - "净敞口套期收益", - "公允价值变动收益", - "信用减值损失", - "资产减值损失", - "资产处置收益", - "营业利润", - "营业外收入", - "营业外支出", - "利润总额", - "所得税费用", - "净利润", - "按经营持续性分类", - "持续经营净利润", - "终止经营净利润", - "按所有权归属分类", - "归属于母公司所有者的净利润", - "少数股东损益", - "其他综合收益的税后净额", - "归属母公司所有者的其他综合收益的税后净额", - "不能重分类进损益的其他综合收益", - "重新计量设定受益计划变动额", - "权益法下不能转损益的其他综合收益", - "其他权益工具投资公允价值变动", - "企业自身信用风险公允价值变动", - "其他", - "将重分类进损益的其他综合收益", - "权益法下可转损益的其他综合收益", - "其他债权投资公允价值变动", - "可供出售金融资产公允价值变动损益", - "金融资产重分类计入其他综合收益的金额", - "持有至到期投资重分类为可供出售金融资产损益", - "其他债权投资信用减值准备", - "现金流量套期储备", - "外币财务报表折算差额", - "其他", - "归属于少数股东的其他综合收益的税后净额", - "综合收益总额", - "归属于母公司所有者的综合收益总额", - "归属于少数股东的综合收益总额", - "基本每股收益", - "稀释每股收益", - "销售商品、提供劳务收到的现金", - "客户存款和同业存放款项净增加额", - "向中央银行借款净增加额", - "向其他金融机构拆入资金净增加额", - "收到原保险合同保费取得的现金", - "收到再保业务现金净额", - "保户储金及投资款净增加额", - "收取利息、手续费及佣金的现金", - "拆入资金净增加额", - "回购业务资金净增加额", - "代理买卖证券收到的现金净额", - "收到的税费返还", - "收到其他与经营活动有关的现金", - "经营活动现金流入小计", - "购买商品、接受劳务支付的现金", - "客户贷款及垫款净增加额", - "存放中央银行和同业款项净增加额", - "支付原保险合同赔付款项的现金", - "拆出资金净增加额", - "支付利息、手续费及佣金的现金", - "支付保单红利的现金", - "支付给职工以及为职工支付的现金", - "支付的各项税费", - "支付其他与经营活动有关的现金", - "经营活动现金流出小计", - "经营活动产生的现金流量净额", - "收回投资收到的现金", - "取得投资收益收到的现金", - "处置固定资产、无形资产和其他长期资产收回的现金净额", - "处置子公司及其他营业单位收到的现金净额", - "收到其他与投资活动有关的现金", - "投资活动现金流入小计", - "购建固定资产、无形资产和其他长期资产支付的现金", - "投资支付的现金", - "质押贷款净增加额", - "取得子公司及其他营业单位支付的现金净额", - "支付其他与投资活动有关的现金", - "投资活动现金流出小计", - "投资活动产生的现金流量净额", - "吸收投资收到的现金", - "子公司吸收少数股东投资收到的现金", - "取得借款收到的现金", - "收到其他与筹资活动有关的现金", - "筹资活动现金流入小计", - "偿还债务支付的现金", - "分配股利、利润或偿付利息支付的现金", - "子公司支付给少数股东的股利、利润", - "支付其他与筹资活动有关的现金", - "筹资活动现金流出小计", - "筹资活动产生的现金流量净额", - "汇率变动对现金及现金等价物的影响", - "现金及现金等价物净增加额", - "期初现金及现金等价物余额", - "期末现金及现金等价物余额", - ] - for _l in list2: - answer_dict[_l] = "" - - with open(self.file_name, "r", encoding="utf-8") as file: - - lines = file.readlines() - for line in lines: - line = line.replace("\n", "") - line_dict = json.loads(line) - try: - if line_dict["type"] not in ["页眉", "页脚"]: - all_text = all_text + line_dict["inside"] - - # 合并资产负债表 - text1, check1 = self.cut_all_text( - check1, - "(?:财务报表.{0,15}|1、)(?:合并资产负债表)$", - "(?:母公司资产负债表)$", - all_text, - line_dict, - text1, - ) - # 母公司资产负债表 - text2, check2 = self.cut_all_text( - check2, - "(?:负责人.{0,15}|2、)(?:母公司资产负债表)$", - "(?:合并利润表)$", - all_text, - line_dict, - text2, - ) - # 合并利润表 - text3, check3 = self.cut_all_text( - check3, - "(?:负责人.{0,15}|3、)(?:合并利润表)$", - "(?:母公司利润表)$", - all_text, - line_dict, - text3, - ) - # 母公司利润表 - text4, check4 = self.cut_all_text( - check4, - "(?:负责人.{0,15}|4、)(?:母公司利润表)$", - "(?:合并现金流量表)$", - all_text, - line_dict, - text4, - ) - # 合并现金流量表 - text5, check5 = self.cut_all_text( - check5, - "(?:负责人.{0,15}|5、)(?:合并现金流量表)$", - "(?:母公司现金流量表)$", - all_text, - line_dict, - text5, - ) - if re.search("(?:负责人.{0,15}|6、)(?:母公司现金流量表)$", all_text): - break - - except Exception: - print(line_dict) - pass - - cut1_len = len(text1.split("合并资产负债表")[0]) - # cut2_len = len(text2.split("母公司资产负债表")[0]) - cut3_len = len(text3.split("合并利润表")[0]) - # cut4_len = len(text4.split("母公司利润表")[0]) - cut5_len = len(text5.split("合并现金流量表")[0]) - - # cut6_len = len(text6.split('母公司现金流量表')[0]) - # cut7_len = len(text7.split('合并所有者权益变动表')[0]) - # cut8_len = len(text8.split('母公司所有者权益变动表')[0]) - - def check_data(answer_dict, text_check, addwords, stop_re): - text_list = text_check.split("\n") - data = [] - check_len = 0 - for _t in text_list: - if ( - re.search("\['项目", _t) - and not re.search("调整数", _t) - and check_len == 0 - ): - check_len = len(eval(_t)) - if re.search("^[\[]", _t): - try: - text_l = eval(_t) - text_l[0] = ( - text_l[0] - .replace(" ", "") - .replace("(", "(") - .replace(")", ")") - .replace(":", ":") - .replace("/", "/") - ) - cut_re = re.match( - "(?:[一二三四五六七八九十]、|([一二三四五六七八九十])|\d\.|" - "加:|减:|其中:|(元/股))", - text_l[0], - ) - if cut_re: - text_l[0] = text_l[0].replace(cut_re.group(), "") - text_l[0] = text_l[0].split("(")[0] - if ( - check_len != 0 - and check_len == len(text_l) - and re.search("[\u4e00-\u9fa5]", text_l[0]) - ): - data.append(text_l) - except Exception: - print(_t) - if data != [] and re.search(stop_re, _t): - break - - # print(data) - if data != []: - df = pd.DataFrame(data[1:], columns=data[0]) - df.replace("", "无", inplace=True) - if year + addwords in df.columns and "项目" in df.columns: - df = df.drop_duplicates(subset="项目", keep="first") - for key in answer_dict: - try: - match_answer = df[df["项目"] == key] - if not match_answer.empty and answer_dict[key] == "": - answer_dict[key] = match_answer[ - year + addwords - ].values[0] - except Exception: - print(key) - return answer_dict - - answer_dict = check_data(answer_dict, text1[cut1_len:], "12月31日", "合并资产负债表") - answer_dict = check_data(answer_dict, text3[cut3_len:], "度", "合并利润表") - answer_dict = check_data(answer_dict, text5[cut5_len:], "度", "合并现金流量表") - new_row = { - "文件名": allname, - "日期": date, - "公司名称": name, - "股票代码": stock, - "股票简称": short_name, - "年份": year, - "类型": "年度报告", - "合并资产负债表": text1[cut1_len:], - "合并利润表": text3[cut3_len:], - "合并现金流量表": text5[cut5_len:], - "全文": str(lines), - } - for key in answer_dict: - new_row[key] = answer_dict[key] - print("finish " + self.file_name) - return new_row - - # 提取其他列 - def extract_other_col(self): - """Extract other col.""" - allname = self.file_name.split("\\")[-1] - date, name, stock, short_name, year, else1 = allname.split("__") - cut1, cut2, cut3, cut4, cut5, cut6, cut7, cut8, cut9, cut10 = ( - "", - "", - "", - "", - "", - "", - "", - "", - "", - "", - ) - ( - check_cut1, - check_cut2, - check_cut3, - check_cut4, - check_cut5, - check_cut6, - check_cut7, - check_cut8, - check_cut9, - check_cut10, - ) = (False, False, False, False, False, False, False, False, False, False) - cut11, cut12, cut13, cut14, cut15, cut16, cut17, cut18, cut19, cut20 = ( - "", - "", - "", - "", - "", - "", - "", - "", - "", - "", - ) - ( - check_cut11, - check_cut12, - check_cut13, - check_cut14, - check_cut15, - check_cut16, - check_cut17, - check_cut18, - check_cut19, - check_cut20, - ) = (False, False, False, False, False, False, False, False, False, False) - cut21, cut22, cut23, cut24, cut25, cut26, cut27 = ( - "", - "", - "", - "", - "", - "", - "", - ) - ( - check_cut21, - check_cut22, - check_cut23, - check_cut24, - check_cut25, - check_cut26, - check_cut27, - ) = (False, False, False, False, False, False, False) - with open(self.file_name, "r", encoding="utf-8") as file: - - lines = file.readlines() - for i in range(len(lines)): - line = lines[i] - line = line.replace("\n", "") - line_dict = json.loads(line) - # print(line_dict) - try: - if line_dict["type"] not in ["页眉", "页脚"]: - - def check_answers( - answer, - keywords_re, - keywords_stop_re, - check_cut, - line_dict=line_dict, - ): - if ( - check_cut is False - and answer == "" - and re.search(keywords_re, line_dict["inside"]) - ): - check_cut = True - answer = str(line_dict["inside"]).replace("", "") - elif ( - re.search(keywords_stop_re, line_dict["inside"]) - or len(answer) >= 2000 - or len(re.findall("是.否", answer)) >= 2 - or len(re.findall("适用.不适用", answer)) >= 2 - or len(re.findall("第(?:一|二|三|四|五|六|七|八|九|十)节", answer)) - >= 2 - ): - check_cut = False - elif check_cut: - answer = ( - answer - + "\n" - + str(line_dict["inside"]).replace("", "") - ) - return answer, check_cut - - def check_answers2( - answer, - keywords_re, - keywords_stop_re, - check_cut, - line_dict=line_dict, - ): - if ( - check_cut is False - and answer == "" - and re.search(keywords_re, line_dict["inside"]) - ): - check_cut = True - answer = str(line_dict["inside"]).replace("", "") - elif ( - re.search(keywords_stop_re, line_dict["inside"]) - or len(answer) >= 2000 - or len(re.findall("第(?:一|二|三|四|五|六|七|八|九|十)节", answer)) - >= 2 - ): - check_cut = False - elif check_cut: - answer = ( - answer - + "\n" - + str(line_dict["inside"]).replace("", "") - ) - return answer, check_cut - - cut1, check_cut1 = check_answers( - cut1, - "(?:\.|、|\)|))(?:审计意见|保留意见)$", - "(?:形成审计意见的基础|形成保留意见的基础)$", - check_cut1, - ) - cut2, check_cut2 = check_answers( - cut2, "(?:关键审计事项)$", "(?:其他信息)$", check_cut2 - ) - cut3, check_cut3 = check_answers( - cut3, "主要会计数据和财务指标", "分季度主要财务指标", check_cut3 - ) - cut4, check_cut4 = check_answers( - cut4, "公司主要销售客户情况", "公司主要供应商情况", check_cut4 - ) - cut5, check_cut5 = check_answers( - cut5, "公司主要供应商情况", "研发投入|费用", check_cut5 - ) - cut6, check_cut6 = check_answers2( - cut6, "(?:研发投入|近三年公司研发投入金额及占营业收入的比例)$", "现金流", check_cut6 - ) - cut7, check_cut7 = check_answers( - cut7, "(?:现金流)$", "非主营业务情况", check_cut7 - ) - cut8, check_cut8 = check_answers( - cut8, "(?:资产及负债状况)$", "投资状况分析", check_cut8 - ) - cut9, check_cut9 = check_answers( - cut9, "重大资产和股权出售", "主要控股参股公司分析", check_cut9 - ) - cut10, check_cut10 = check_answers( - cut10, "主要控股参股公司分析", "公司未来发展的展望", check_cut10 - ) - cut11, check_cut11 = check_answers( - cut11, "公司未来发展的展望", "接待调研、沟通、采访等活动登记表", check_cut11 - ) - cut12, check_cut12 = check_answers( - cut12, - "与上年度财务报告相比,合并报表范围发生变化的情况说明", - "聘任、解聘会计师事务所情况", - check_cut12, - ) - cut13, check_cut13 = check_answers2( - cut13, - "聘任、解聘会计师事务所情况", - "面临(?:暂停上市|终止上市|退市).{0,10}情况", - check_cut13, - ) - cut14, check_cut14 = check_answers( - cut14, - "面临(?:暂停上市|终止上市|退市).{0,10}情况", - "破产重整相关事项", - check_cut14, - ) - cut15, check_cut15 = check_answers( - cut15, "破产重整相关事项", "重大诉讼、仲裁事项", check_cut15 - ) - cut16, check_cut16 = check_answers( - cut16, "重大诉讼、仲裁事项", "处罚及整改情况", check_cut16 - ) - cut17, check_cut17 = check_answers( - cut17, "处罚及整改情况", "公司及其控股股东、实际控制人的诚信状况", check_cut17 - ) - cut18, check_cut18 = check_answers( - cut18, - "公司及其控股股东、实际控制人的诚信状况", - "公司股权激励计划、员工持股计划或其他员工激励措施的实施情况", - check_cut18, - ) - cut19, check_cut19 = check_answers2( - cut19, "重大关联交易", "重大合同及其履行情况", check_cut19 - ) - cut20, check_cut20 = check_answers2( - cut20, "重大合同及其履行情况", "其他重大事项的说明", check_cut20 - ) - cut21, check_cut21 = check_answers( - cut21, - "重大环保问题|环境保护相关的情况", - "社会责任情况|重要事项|股份变动情况|其他重大事项的说明", - check_cut21, - ) - cut22, check_cut22 = check_answers( - cut22, "社会责任情况", "重要事项|股份变动情况|其他重大事项的说明", check_cut22 - ) - cut23, check_cut23 = check_answers( - cut23, "公司董事、监事、高级管理人员变动情况", "任职情况", check_cut23 - ) - cut24, check_cut24 = check_answers2( - cut24, "公司员工情况", "培训计划", check_cut24 - ) - cut25, check_cut25 = check_answers( - cut25, - "对会计师事务所本报告期“非标准审计报告”的说明", - "董事会对该事项的意见|独立董事意见|监事会意见|消除有关事项及其影响的" "具体措施", - check_cut25, - ) - cut26, check_cut26 = check_answers( - cut26, "公司控股股东情况", "同业竞争情况|重大事项", check_cut26 - ) - cut27, check_cut27 = check_answers( - cut27, - "(?:\.|、|\)|))(?:审计报告)$", - "审计报告正文|(?:\.|、|\)|))(?:审计意见|保留意见)$", - check_cut27, - ) - - except Exception: - logger.error(line_dict) - new_row = { - "文件名": allname, - "日期": date, - "公司名称": name, - "股票代码": stock, - "股票简称": short_name, - "年份": year, - "类型": "年度报告", - "审计意见": cut1, - "关键审计事项": cut2, - "主要会计数据和财务指标": cut3, - "主要销售客户": cut4, - "主要供应商": cut5, - "研发投入": cut6, - "现金流": cut7, - "资产及负债状况": cut8, - "重大资产和股权出售": cut9, - "主要控股参股公司分析": cut10, - "公司未来发展的展望": cut11, - "合并报表范围发生变化的情况说明": cut12, - "聘任、解聘会计师事务所情况": cut13, - "面临退市情况": cut14, - "破产重整相关事项": cut15, - "重大诉讼、仲裁事项": cut16, - "处罚及整改情况": cut17, - "公司及其控股股东、实际控制人的诚信状况": cut18, - "重大关联交易": cut19, - "重大合同及其履行情况": cut20, - "重大环保问题": cut21, - "社会责任情况": cut22, - "公司董事、监事、高级管理人员变动情况": cut23, - "公司员工情况": cut24, - "非标准审计报告的说明": cut25, - "公司控股股东情况": cut26, - "审计报告": cut27, - "全文": str(lines), - } - print("finished " + self.file_name) - return new_row diff --git a/docs/static/img/chat_knowledge/fin_report/chat_indicator.png b/docs/static/img/chat_knowledge/fin_report/chat_indicator.png new file mode 100644 index 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