luojiehua пре 5 месеци
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  1. 1176 0
      BiddingKG/dl/interface/html_2_kv.py

+ 1176 - 0
BiddingKG/dl/interface/html_2_kv.py

@@ -0,0 +1,1176 @@
+#coding:utf8
+from bs4 import BeautifulSoup
+import json
+import re
+import traceback
+
+import logging
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
+
+logger = logging.getLogger(__name__)
+logger.setLevel(logging.INFO)
+
+def log(msg):
+    '''
+    @summary:打印信息
+    '''
+    logger.info(msg)
+
+class DotDict(dict):
+
+    def __getattr__(self,name):
+        try:
+            return self[name]
+        except KeyError:
+            raise AttributeError("No attribute '%s'" % name)
+
+    def __setattr__(self,name,value):
+        self[name] = value
+
+
+
+# 递归地将 DOM 转换为 JSON
+# 递归地将 DOM 转换为 JSON
+def dom_to_tree(node):
+    if node.name:  # 如果是标签节点
+        json_obj = DotDict({"tag": node.name})
+        if node.attrs:
+            json_obj["attributes"] = node.attrs
+        children = []
+        for child in node.contents:
+            _child = dom_to_tree(child)
+            if _child is not None:
+                _child["parent"] = json_obj
+                children.append(_child)
+        if children:
+            json_obj["children"] = children
+        return json_obj
+    elif node.string and node.string.strip():  # 如果是纯文本节点
+        return DotDict({"tag":"text","text": node.string.strip()})
+    return None  # 忽略空白字符
+
+def tree_pop_parent(tree):
+
+    if isinstance(tree,list):
+        for child in tree:
+            tree_pop_parent(child)
+    if isinstance(tree,dict):
+        if "parent" in tree:
+            del tree["parent"]
+        for child in tree.get("children",[]):
+            tree_pop_parent(child)
+
+
+def html_to_tree(html_content):
+    # 使用 BeautifulSoup 解析 HTML
+    soup = BeautifulSoup(html_content, "lxml")
+    dom_tree = dom_to_tree(soup)
+    return dom_tree
+
+def print_tree(dom_tree):
+    # 转换为 JSON 格式
+    tree_pop_parent(dom_tree)
+    json_output = json.dumps(dom_tree,ensure_ascii=False, indent=2)
+    print(json_output)
+
+# kv_pattern = "\s*(?P<key>.{,10})[::]\s*(?P<value>[^::。,()]+?)(\s+|$|;|;)(?![\u4e00-\u9fa5]+:)"
+kv_pattern = r"(?P<key>[\u4e00-\u9fa5]+):\s*(?P<value>[^\s,。();;]+)"
+
+def get_kv_pattern():
+    import re
+
+    text = """
+    name: John age: 30 note: invalid;
+    """
+
+    # 正则模式
+    kv_pattern = r"(?P<key>[a-zA-Z]+)[::](?P<value>.+(?!.*[::]))"
+
+    # 提取匹配
+    matches = re.findall(kv_pattern, text)
+
+    # 打印结果
+    for match in matches:
+        key, value = match
+        print("{%s}: {%s}"%(key,value))
+def extract_kv_from_sentence(sentence):
+    list_kv = []
+    _iter = re.finditer("[::]", sentence)
+    if _iter:
+        list_span = []
+        for iter in _iter:
+            list_span.append(iter.span())
+        if len(list_span)==1:
+            _begin,_end = list_span[0]
+            if _begin<20 and _end<len(sentence)-1:
+                _d = DotDict({"key":sentence[0:_begin],"value":sentence[_end:],"key_span":[0,_begin],"value_span":[_end,len(sentence)]})
+                list_kv.append(_d)
+            else:
+                _begin = 0
+                _end = len(sentence)-1
+                iter = re.search(kv_pattern,sentence[_begin:_end])
+                if iter is not None:
+                    _d = DotDict({})
+                    _d["key"] = iter.group("key")
+                    _d["value"] = iter.group("value")
+                    _d["key_span"] = iter.span("key")
+                    _d["value_span"] = iter.span("value")
+                    list_kv.append(_d)
+
+        elif len(list_span)>1:
+            _begin = 0
+
+            for _i in range(len(list_span)-1):
+                _end = list_span[_i+1][0]
+                iter = re.search(kv_pattern,sentence[_begin:_end])
+                _begin = list_span[_i][1]
+                if iter is not None:
+                    _d = DotDict({})
+                    _d["key"] = iter.group("key")
+                    _d["value"] = iter.group("value")
+                    _d["key_span"] = iter.span("key")
+                    _d["value_span"] = iter.span("value")
+                    list_kv.append(_d)
+
+            _begin = list_span[-2][1]
+            _end = len(sentence)
+            iter = re.search(kv_pattern,sentence[_begin:_end])
+            if iter is not None:
+                _d = DotDict({})
+                _d["key"] = iter.group("key")
+                _d["value"] = iter.group("value")
+                _d["key_span"] = iter.span("key")
+                _d["value_span"] = iter.span("value")
+                list_kv.append(_d)
+
+
+
+
+        # for iter in _iter:
+        #     _d = DotDict({})
+        #     _d["key"] = iter.group("key")
+        #     _d["value"] = iter.group("value")
+        #     _d["key_span"] = iter.span("key")
+        #     _d["value_span"] = iter.span("value")
+        #     list_kv.append(_d)
+    return list_kv
+
+
+def extract_kv_from_node(node):
+    list_kv = []
+    _text = node.get("text")
+    if _text:
+        list_kv = extract_kv_from_sentence(_text)
+    node["kv"] = list_kv
+    return list_kv
+
+
+def get_child_text(node):
+    _text = node.get("text","")
+    for child in node.get("children",[]):
+        _text += get_child_text(child)
+    return _text
+def extract_kv_from_tree(tree):
+    if isinstance(tree,list):
+        _count = 0
+        for child in tree:
+            _count += extract_kv_from_tree(child)
+        return _count
+    if isinstance(tree,dict):
+        childs = tree.get("children",[])
+        if len(childs)>0:
+            _count = 0
+            for child in childs:
+                _count += extract_kv_from_tree(child)
+            if _count==0:
+                _text = get_child_text(tree)
+                if "children" in tree:
+                    del tree["children"]
+                tree["text"] = _text
+                list_kv = extract_kv_from_node(tree)
+                _count = len(list_kv)
+                return _count
+            if tree.get("tag","")=="p":
+                _text = get_child_text(tree)
+                tree["text"] = _text
+                p_list_kv = extract_kv_from_node(tree)
+                if len(p_list_kv)>=_count:
+                    if "children" in tree:
+                        del tree["children"]
+                else:
+                    tree["text"] = ""
+                return len(p_list_kv)
+
+            return _count
+        else:
+            list_kv = extract_kv_from_node(tree)
+            return len(list_kv)
+
+
+def update_kv_span(list_kv,append_length):
+    for _d in list_kv:
+        _d["key_span"][0] += append_length
+        _d["key_span"][1] += append_length
+        _d["value_span"][0] += append_length
+        _d["value_span"][1] += append_length
+
+def get_sentence_from_tree(tree,list_sentences=None):
+
+    is_first = False
+    if list_sentences is None:
+        list_sentences = []
+        is_first = True
+    if isinstance(tree,list):
+        for child in tree:
+            get_sentence_from_tree(child,list_sentences)
+    if isinstance(tree,dict):
+        childs = tree.get("children",[])
+        _text = tree.get("text","")
+        if _text!="":
+            tree.name = tree.tag
+            list_sentences.append(tree)
+        for child in childs:
+            get_sentence_from_tree(child,list_sentences)
+    if is_first:
+        wordOffset_begin = 0
+        wordOffset_end = 0
+        for _i in range(len(list_sentences)):
+            list_sentences[_i].sentence_index = _i
+            list_sentences[_i].wordOffset_begin = wordOffset_begin
+            wordOffset_end = wordOffset_begin+len(list_sentences[_i].text)
+            list_sentences[_i].wordOffset_end = wordOffset_end
+            wordOffset_begin = wordOffset_end
+
+    return list_sentences
+
+
+def standard_title_context(_title_context):
+    return _title_context.replace("(","(").replace(")",")").replace(":",":").replace(":",";").replace(",",".").replace(",",".").replace("、",".").replace(".",".")
+
+def standard_product(sentence):
+    return sentence.replace("(","(").replace(")",")")
+
+
+import Levenshtein
+import copy
+def jaccard_score(source,target):
+    source_set = set([s for s in source])
+    target_set = set([s for s in target])
+    if len(source_set)==0 or len(target_set)==0:
+        return 0
+    return max(len(source_set&target_set)/len(source_set),len(source_set&target_set)/len(target_set))
+
+
+def judge_pur_chinese(keyword):
+    """
+    中文字符的编码范围为: u'\u4e00' -- u'\u9fff:只要在此范围内就可以判断为中文字符串
+    @param keyword:
+    @return:
+    """
+    # 定义一个需要删除的标点符号字符串列表
+    remove_chars = '[·’!"\#$%&\'()#!()*+,-./:;<=>?\@,:?¥★、….>【】[]《》?“”‘’\[\\]^_`{|}~]+'
+    # 利用re.sub来删除中文字符串中的标点符号
+    strings = re.sub(remove_chars, "", keyword)  # 将keyword中文字符串中remove_chars中包含的标点符号替换为空字符串
+    for ch in strings:
+        if u'\u4e00' <= ch <= u'\u9fff':
+            pass
+        else:
+            return False
+    return True
+def is_similar(source,target,_radio=None):
+    source = str(source).lower()
+    target = str(target).lower()
+    max_len = max(len(source),len(target))
+    min_len = min(len(source),len(target))
+
+    min_ratio = 90
+    if min_len>=3:
+        min_ratio = 87
+    if min_len>=5:
+        min_ratio = 85
+    if _radio is not None:
+        min_ratio = _radio
+    # dis_len = abs(len(source)-len(target))
+    # min_dis = min(max_len*0.2,4)
+    if min_len==0 and max_len>0:
+        return False
+    if max_len<=2:
+        if source==target:
+            return True
+    if min_len<2:
+        return False
+    #判断相似度
+    similar = Levenshtein.ratio(source,target)*100
+    if similar>=min_ratio:
+        log("%s and %s similar_jaro %d"%(source,target,similar))
+        return True
+    similar_jaro = Levenshtein.jaro(source,target)
+    if similar_jaro*100>=min_ratio:
+        log("%s and %s similar_jaro %d"%(source,target,similar_jaro*100))
+        return True
+    similar_jarow = Levenshtein.jaro_winkler(source,target)
+    if similar_jarow*100>=min_ratio:
+        log("%s and %s similar_jaro %d"%(source,target,similar_jarow*100))
+        return True
+
+    if min_len>=5:
+        if len(source)==max_len and str(source).find(target)>=0:
+                return True
+        elif len(target)==max_len and target.find(source)>=0:
+                return True
+        elif jaccard_score(source, target)==1 and judge_pur_chinese(source) and judge_pur_chinese(target):
+            return True
+    return False
+
+
+end_pattern = "商务要求|评分标准|商务条件|商务条件"
+_param_pattern = "(产品|技术|清单|配置|参数|具体|明细|项目|招标|货物|服务|规格|工作|具体)[及和与]?(指标|配置|条件|要求|参数|需求|规格|条款|名称及要求)|配置清单|(质量|技术).{,10}要求|验收标准|^(参数|功能)$"
+meter_pattern = "[><≤≥±]\d+|\d+(?:[μucmkK微毫千]?[米升LlgGmMΩ]|摄氏度|英寸|度|天|VA|dB|bpm|rpm|kPa|mol|cmH20|%|°|Mpa|Hz|K?HZ|℃|W|min|[*×xX])|[*×xX]\d+|/min|\ds[^a-zA-Z]|GB.{,20}标准|PVC|PP|角度|容积|色彩|自动|流量|外径|轴位|折射率|帧率|柱镜|振幅|磁场|镜片|防漏|强度|允差|心率|倍数|瞳距|底座|色泽|噪音|间距|材质|材料|表面|频率|阻抗|浓度|兼容|防尘|防水|内径|实时|一次性|误差|性能|距离|精确|温度|超温|范围|跟踪|对比度|亮度|[横纵]向|均压|负压|正压|可调|设定值|功能|检测|高度|厚度|宽度|深度|[单双多]通道|效果|指数|模式|尺寸|重量|峰值|谷值|容量|寿命|稳定性|高温|信号|电源|电流|转换率|效率|释放量|转速|离心力|向心力|弯曲|电压|功率|气量|国标|标准协议|灵敏度|最大值|最小值|耐磨|波形|高压|性强|工艺|光源|低压|压力|压强|速度|湿度|重量|毛重|[MLX大中小]+码|净重|颜色|[红橙黄绿青蓝紫]色|不锈钢|输入|输出|噪声|认证|配置"
+not_meter_pattern = "投标报价|中标金额|商务部分|公章|分值构成|业绩|详见|联系人|联系电话|合同价|金额|采购预算|资金来源|费用|质疑|评审因素|评审标准|商务资信|商务评分|专家论证意见|评标方法|代理服务费|售后服务|评分类型|评分项目|预算金额|得\d+分|项目金额|详见招标文件|乙方"
+
+
+def getTrs(tbody):
+    #获取所有的tr
+    trs = []
+    if tbody.name=="table":
+        body = tbody.find("tbody",recursive=False)
+        if body is not None:
+            tbody = body
+    objs = tbody.find_all(recursive=False)
+    for obj in objs:
+        if obj.name=="tr":
+            trs.append(obj)
+        if obj.name=="tbody" or obj.name=="table":
+            for tr in obj.find_all("tr",recursive=False):
+                trs.append(tr)
+    return trs
+
+def fixSpan(tbody):
+    # 处理colspan, rowspan信息补全问题
+    #trs = tbody.findChildren('tr', recursive=False)
+
+    trs = getTrs(tbody)
+    ths_len = 0
+    ths = list()
+    trs_set = set()
+    #修改为先进行列补全再进行行补全,否则可能会出现表格解析混乱
+    # 遍历每一个tr
+
+    for indtr, tr in enumerate(trs):
+        ths_tmp = tr.findChildren('th', recursive=False)
+        #不补全含有表格的tr
+        if len(tr.findChildren('table'))>0:
+            continue
+        if len(ths_tmp) > 0:
+            ths_len = ths_len + len(ths_tmp)
+            for th in ths_tmp:
+                ths.append(th)
+            trs_set.add(tr)
+        # 遍历每行中的element
+        tds = tr.findChildren(recursive=False)
+        for indtd, td in enumerate(tds):
+            # 若有colspan 则补全同一行下一个位置
+            if 'colspan' in td.attrs:
+                if str(re.sub("[^0-9]","",str(td['colspan'])))!="":
+                    col = int(re.sub("[^0-9]","",str(td['colspan'])))
+                    if col<100 and len(td.get_text())<1000:
+                        td['colspan'] = 1
+                        for i in range(1, col, 1):
+                            td.insert_after(copy.copy(td))
+
+    for indtr, tr in enumerate(trs):
+        ths_tmp = tr.findChildren('th', recursive=False)
+        #不补全含有表格的tr
+        if len(tr.findChildren('table'))>0:
+            continue
+        if len(ths_tmp) > 0:
+            ths_len = ths_len + len(ths_tmp)
+            for th in ths_tmp:
+                ths.append(th)
+            trs_set.add(tr)
+        # 遍历每行中的element
+        tds = tr.findChildren(recursive=False)
+        for indtd, td in enumerate(tds):
+            # 若有rowspan 则补全下一行同样位置
+            if 'rowspan' in td.attrs:
+                if str(re.sub("[^0-9]","",str(td['rowspan'])))!="":
+                    row = int(re.sub("[^0-9]","",str(td['rowspan'])))
+                    td['rowspan'] = 1
+                    for i in range(1, row, 1):
+                        # 获取下一行的所有td, 在对应的位置插入
+                        if indtr+i<len(trs):
+                            tds1 = trs[indtr + i].findChildren(['td','th'], recursive=False)
+                            if len(tds1) >= (indtd) and len(tds1)>0:
+                                if indtd > 0:
+                                    tds1[indtd - 1].insert_after(copy.copy(td))
+                                else:
+                                    tds1[0].insert_before(copy.copy(td))
+                            elif indtd-2>0 and len(tds1) > 0 and len(tds1) == indtd - 1:  # 修正某些表格最后一列没补全
+                                tds1[indtd-2].insert_after(copy.copy(td))
+def getTable(tbody):
+    #trs = tbody.findChildren('tr', recursive=False)
+    fixSpan(tbody)
+    trs = getTrs(tbody)
+    inner_table = []
+    for tr in trs:
+        tr_line = []
+        tds = tr.findChildren(['td','th'], recursive=False)
+        if len(tds)==0:
+            tr_line.append([re.sub('\xa0','',tr.get_text()),0]) # 2021/12/21 修复部分表格没有td 造成数据丢失
+        for td in tds:
+            tr_line.append([re.sub('\xa0','',td.get_text()),0])
+            #tr_line.append([td.get_text(),0])
+        inner_table.append(tr_line)
+    return inner_table
+
+def extract_products(list_data,_product,_param_pattern = "产品名称|设备材料|采购内存|标的名称|采购内容|(标的|维修|系统|报价构成|商品|产品|物料|物资|货物|设备|采购品|采购条目|物品|材料|印刷品?|采购|物装|配件|资产|耗材|清单|器材|仪器|器械|备件|拍卖物|标的物|物件|药品|药材|药械|货品|食品|食材|品目|^品名|气体|标项|分项|项目|计划|包组|标段|[分子]?包|子目|服务|招标|中标|成交|工程|招标内容)[\))的]?([、\w]{,4}名称|内容|描述)|标的|标项|项目$|商品|产品|物料|物资|货物|设备|采购品|采购条目|物品|材料|印刷品|物装|配件|资产|招标内容|耗材|清单|器材|仪器|器械|备件|拍卖物|标的物|物件|药品|药材|药械|货品|食品|食材|菜名|^品目$|^品名$|^名称|^内容$"):
+    _product = standard_product(_product)
+    list_result = []
+    list_table_products = []
+    for _data_i in range(len(list_data)):
+        _data = list_data[_data_i]
+        _type = _data["type"]
+        _text = _data["text"]
+
+        if _type=="table":
+            list_table = _data["list_table"]
+            if list_table is None:
+                continue
+            _check = True
+            max_length = max([len(a) for a in list_table])
+            min_length = min([len(a) for a in list_table])
+            if min_length<max_length/2:
+                continue
+            list_head_index = []
+            _begin_index = 0
+            head_cell_text = ""
+            for line_i in range(len(list_table[:2])):
+                line = list_table[line_i]
+                line_text = ",".join([cell[0] for cell in line])
+                for cell_i in range(len(line)):
+                    cell = line[cell_i]
+                    cell_text = cell[0]
+                    if len(cell_text)<10 and re.search(_param_pattern,cell_text) is not None and re.search("单价|数量|预算|限价|总价|品牌|规格|型号|用途|要求|采购量",line_text) is not None:
+                        _begin_index = line_i+1
+                        list_head_index.append(cell_i)
+
+            for line_i in range(len(list_table)):
+                line = list_table[line_i]
+                for cell_i in list_head_index:
+                    if cell_i>=len(line):
+                        continue
+                    cell = line[cell_i]
+                    cell_text = cell[0]
+                    head_cell_text += cell_text
+
+            # print("===head_cell_text",head_cell_text)
+            if re.search("招标人|采购人|项目编号|项目名称|金额|^\d+$",head_cell_text) is not None:
+                list_head_index = []
+
+            for line in list_table:
+                line_text = ",".join([cell[0] for cell in line])
+                for cell_i in range(len(line)):
+                    cell = line[cell_i]
+                    cell_text = cell[0]
+                    if cell_text is not None and _product is not None and len(cell_text)<len(_product)*10 and cell_text.find(_product)>=0 and re.search("单价|数量|总价|规格|品牌|型号|用途|要求|采购量",line_text) is not None:
+                        list_head_index.append(cell_i)
+
+            list_head_index = list(set(list_head_index))
+            if len(list_head_index)>0:
+                has_number = False
+                for cell_i in list_head_index:
+                    table_products = []
+
+                    for line_i in range(_begin_index,len(list_table)):
+                        line = list_table[line_i]
+
+                        for _i in range(len(line)):
+                            cell = line[_i]
+                            cell_text = cell[0]
+                            if re.search("^\d+$",cell_text) is not None:
+                                has_number = True
+
+                        if cell_i>=len(line):
+                            continue
+                        cell = line[cell_i]
+                        cell_text = cell[0]
+                        if re.search(_param_pattern,cell_text) is None or has_number:
+                            if re.search("^[\da-zA-Z]+$",cell_text) is None:
+                                table_products.append(cell_text)
+
+                    if len(table_products)>0:
+                        logger.debug("table products %s"%(str(table_products)))
+                        if min([len(x) for x in table_products])>0 and max([len(x) for x in table_products])<=30:
+                            if re.search("招标人|代理人|预算|数量|交货期|品牌|产地","".join(table_products)) is None:
+                                list_table_products.append(table_products)
+    _find = False
+    for table_products in list_table_products:
+        for _p in table_products:
+            if is_similar(_product,_p,90):
+                _find = True
+                logger.debug("similar table_products %s"%(str(table_products)))
+                list_result = list(set([a for a in table_products if len(a)>1 and len(a)<20 and re.search("费用|预算|合计|金额|万元|运费|^其他$",a) is None]))
+                break
+    if not _find:
+        for table_products in list_table_products:
+            list_result.extend(table_products)
+        list_result = list(set([a for a in list_result if len(a)>1 and len(a)<30 and re.search("费用|预算|合计|金额|万元|运费",a) is None]))
+    return list_result
+
+def get_childs(childs, max_depth=None):
+    list_data = []
+    for _child in childs:
+        list_data.append(_child)
+        childs2 = _child.get("child_title",[])
+
+        if len(childs2)>0 and (max_depth==None or max_depth>0):
+            for _child2 in childs2:
+                if max_depth != None:
+                    list_data.extend(get_childs([_child2], max_depth-1))
+                else:
+                    list_data.extend(get_childs([_child2], None))
+    return list_data
+
+class Html2KVTree():
+
+    def __init__(self,_html,auto_merge_table=True,list_obj = []):
+        if _html is None:
+            _html = ""
+        self.html = _html
+        self.auto_merge_table = auto_merge_table
+
+        if list_obj:
+            self.list_obj = list_obj
+        else:
+
+            _tree = html_to_tree(html_content)
+            extract_kv_from_tree(_tree)
+            self.list_obj = get_sentence_from_tree(_tree)
+
+            print(len(self.list_obj))
+
+
+        # for obj in self.list_obj:
+        #     print("obj",obj.get_text()[:20])
+
+        self.tree = self.buildParsetree(self.list_obj,[],auto_merge_table)
+
+
+        # #识别目录树
+        # self.print_tree(self.tree,"-|")
+
+    def get_soup_objs(self,soup,list_obj=None):
+        if list_obj is None:
+            list_obj = []
+        childs = soup.find_all(recursive=False)
+        for _obj in childs:
+            childs1 = _obj.find_all(recursive=False)
+            if len(childs1)==0 or len(_obj.get_text())<40 or _obj.name=="table":
+                list_obj.append(_obj)
+            elif _obj.name=="p":
+                list_obj.append(_obj)
+            else:
+                self.get_soup_objs(_obj,list_obj)
+        return list_obj
+
+    def fix_tree(self,_product):
+        products = extract_products(self.tree,_product)
+        if len(products)>0:
+            self.tree = self.buildParsetree(self.list_obj,products,self.auto_merge_table)
+
+    def print_tree(self,tree,append="",set_tree_id=None):
+        if set_tree_id is None:
+            set_tree_id = set()
+        if append=="":
+            for t in tree:
+                logger.debug("%s text:%s title:%s title_text:%s before:%s after%s product:%s"%("==>",t["text"][:50],t["sentence_title"],t["sentence_title_text"],t["title_before"],t["title_after"],t["has_product"]))
+
+        for t in tree:
+            _id = id(t)
+            if _id in set_tree_id:
+                continue
+            set_tree_id.add(_id)
+            logger.info("%s text:%s title:%s title_text:%s before:%s after%s product:%s kv:%s"%(append,t["text"][:50],t["sentence_title"],t["sentence_title_text"],t["title_before"],t["title_after"],t["has_product"],str(t["kv"])))
+            childs = t["child_title"]
+            self.print_tree(childs,append=append+"-|",set_tree_id=set_tree_id)
+
+    def is_title_first(self,title):
+        if title in ("一","1","Ⅰ","a","A"):
+            return True
+        return False
+
+    def find_title_by_pattern(self,_text,_pattern="(^|★|▲|:|:|\s+)(?P<title_1>(?P<title_1_index_0_0>第?)(?P<title_1_index_1_1>[一二三四五六七八九十ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]+)(?P<title_1_index_2_0>[、章册包标部.::]+))|" \
+                                             "([\s★▲\*]*)(?P<title_3>(?P<title_3_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?)(?P<title_3_index_0_1>[ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]+)(?P<title_3_index_0_2>[、章册包标部.::]+))|" \
+                                             "([\s★▲\*]*)(?P<title_4>(?P<title_4_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?第?)(?P<title_4_index_1_1>[一二三四五六七八九十]+)(?P<title_4_index_2_0>[节章册部\.::、、]+))|" \
+                                             "([\s★▲\*]*)(?P<title_5>(?P<title_5_index_0_0>^)(?P<title_5_index_1_1>[一二三四五六七八九十]+)(?P<title_5_index_2_0>)[^一二三四五六七八九十节章册部\.::、])|" \
+                                             "([\s★▲\*]*)(?P<title_12>(?P<title_12_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?\d{1,2}[\..、\s\-]\d{1,2}[\..、\s\-]\d{1,2}[\..、\s\-]\d{1,2}[\..、\s\-])(?P<title_12_index_1_1>\d{1,2})(?P<title_12_index_2_0>[\..、\s\-]?))|"\
+                                             "([\s★▲\*]*)(?P<title_11>(?P<title_11_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?\d{1,2}[\..、\s\-]\d{1,2}[\..、\s\-]\d{1,2}[\..、\s\-])(?P<title_11_index_1_1>\d{1,2})(?P<title_11_index_2_0>[\..、\s\-]?))|" \
+                                             "([\s★▲\*]*)(?P<title_10>(?P<title_10_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?\d{1,2}[\..、\s\-]\d{1,2}[\..、\s\-])(?P<title_10_index_1_1>\d{1,2})(?P<title_10_index_2_0>[\..、\s\-]?))|" \
+                                             "([\s★▲\*]*)(?P<title_7>(?P<title_7_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?\d{1,2}[\..\s\-])(?P<title_7_index_1_1>\d{1,2})(?P<title_7_index_2_0>[\..包标::、\s\-]*))|" \
+                                             "(^[\s★▲\*]*)(?P<title_6>(?P<title_6_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?包?)(?P<title_6_index_0_1>\d{1,2})(?P<title_6_index_2_0>[\..、\s\-包标]*))|" \
+                                             "([\s★▲\*]*)(?P<title_15>(?P<title_15_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?[((]?)(?P<title_15_index_1_1>\d{1,2})(?P<title_15_index_2_0>[))包标\..::、]+))|" \
+                                             "([\s★▲\*]+)(?P<title_17>(?P<title_17_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?[((]?)(?P<title_17_index_1_1>[a-zA-Z]+)(?P<title_17_index_2_0>[))包标\..::、]+))|" \
+                                             "([\s★▲\*]*)(?P<title_19>(?P<title_19_index_0_0>[^一二三四五六七八九十\dⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]{,3}?[((]?)(?P<title_19_index_1_1>[一二三四五六七八九十ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]+)(?P<title_19_index_2_0>[))]))"
+                              ):
+        _se = re.search(_pattern,_text)
+        groups = []
+        if _se is not None:
+            e = _se.end()
+            if re.search('(时间|日期|编号|账号|号码|手机|价格|\w价|人民币|金额|得分|分值|总分|满分|最高得|扣|减|数量|评委)[::]?\d', _se.group(0)) or (re.search('\d[.::]?$', _se.group(0)) and re.search('^[\d年月日万元天个分秒台条A-Za-z]|^(小时)', _text[e:])):
+                return None
+            elif re.match('[二三四五六七八九十]\w{1,2}[市区县]|五金|四川|八疆|九龙|[一二三四五六七八九十][层天标包]', _text) and re.match('[一二三四五六七八九十]', _se.group(0)): # 289765335 排除三明市等开头作为大纲
+                return None
+            elif re.search('^[\u4e00-\u9fa5]+[::]', _text[:e]):
+                return None
+            _gd = _se.groupdict()
+            for k,v in _gd.items():
+                if v is not None:
+                    groups.append((k,v))
+        if len(groups):
+            groups.sort(key=lambda x:x[0])
+            return groups
+        return None
+
+    def make_increase(self,_sort,_title,_add=1):
+        if len(_title)==0 and _add==0:
+            return ""
+        if len(_title)==0 and _add==1:
+            return _sort[0]
+        _index = _sort.index(_title[-1])
+        next_index = (_index+_add)%len(_sort)
+        next_chr = _sort[next_index]
+        if _index==len(_sort)-1:
+            _add = 1
+        else:
+            _add = 0
+        return next_chr+self.make_increase(_sort,_title[:-1],_add)
+
+
+    def get_next_title(self,_title):
+        if re.search("^\d+$",_title) is not None:
+            return str(int(_title)+1)
+        if re.search("^[一二三四五六七八九十百]+$",_title) is not None:
+            if _title[-1]=="十":
+                return _title+"一"
+            if _title[-1]=="百":
+                return _title+"零一"
+
+            if _title[-1]=="九":
+                if len(_title)==1:
+                    return "十"
+                if len(_title)==2:
+                    if _title[0]=="十":
+                        return "二十"
+                if len(_title)==3:
+                    if _title[0]=="九":
+                        return "一百"
+                    else:
+                        _next_title = self.make_increase(['一','二','三','四','五','六','七','八','九','十'],re.sub("[十百]",'',_title[0]))
+                        return _next_title+"十"
+
+            _next_title = self.make_increase(['一','二','三','四','五','六','七','八','九','十'],re.sub("[十百]",'',_title))
+            _next_title = list(_next_title)
+            _next_title.reverse()
+            if _next_title[-1]!="十":
+                if len(_next_title)>=2:
+                    _next_title.insert(-1,'十')
+            if len(_next_title)>=4:
+                _next_title.insert(-3,'百')
+            if _title[0]=="十":
+                if _next_title=="十":
+                    _next_title = ["二","十"]
+                _next_title.insert(0,"十")
+            _next_title = "".join(_next_title)
+            return _next_title
+        if re.search("^[a-z]+$",_title) is not None:
+            _next_title = self.make_increase([chr(i+ord('a')) for i in range(26)],_title)
+            _next_title = list(_next_title)
+            _next_title.reverse()
+            return "".join(_next_title)
+        if re.search("^[A-Z]+$",_title) is not None:
+            _next_title = self.make_increase([chr(i+ord('A')) for i in range(26)],_title)
+            _next_title = list(_next_title)
+            _next_title.reverse()
+            return "".join(_next_title)
+        if re.search("^[ⅠⅡⅢⅣⅤⅥⅦⅧⅨⅩⅪⅫ]$",_title) is not None:
+            _sort = ["Ⅰ","Ⅱ","Ⅲ","Ⅳ","Ⅴ","Ⅵ","Ⅶ","Ⅷ","Ⅸ","Ⅹ","Ⅺ","Ⅻ"]
+            _index = _sort.index(_title)
+            if _index<len(_sort)-1:
+                return _sort[_index+1]
+            return None
+
+    def count_title_before(self,list_obj):
+        dict_before = {}
+        dict_sentence_count = {}
+        illegal_sentence = set()
+        for obj_i in range(len(list_obj)):
+            obj = list_obj[obj_i]
+            _type = "sentence"
+            _text = obj.text.strip()
+            if obj.name=="table":
+                _type = "table"
+                _text = str(obj)
+            _append = False
+
+
+            if _type=="sentence":
+                if len(_text)>10 and len(_text)<100:
+                    if _text not in dict_sentence_count:
+                        dict_sentence_count[_text] = 0
+                    dict_sentence_count[_text] += 1
+                    if re.search("\d+页",_text) is not None:
+                        illegal_sentence.add(_text)
+                elif len(_text)<10:
+                    if re.search("第\d+页",_text) is not None:
+                        illegal_sentence.add(_text)
+
+                sentence_groups = self.find_title_by_pattern(_text[:10])
+                if sentence_groups:
+                    # c062f53cf83401e671822003d63c1828print("sentence_groups",sentence_groups)
+                    sentence_title = sentence_groups[0][0]
+                    sentence_title_text = sentence_groups[0][1]
+                    title_index = sentence_groups[-2][1]
+                    title_before = sentence_groups[1][1].replace("(","(").replace(":",":").replace(":",";").replace(",",".").replace(",",".").replace("、",".")
+                    title_after = sentence_groups[-1][1].replace(")",")").replace(":",":").replace(":",";").replace(",",".").replace(",",".").replace("、",".")
+                    next_index = self.get_next_title(title_index)
+                    if title_before not in dict_before:
+                        dict_before[title_before] = 0
+                    dict_before[title_before] += 1
+
+        for k,v in dict_sentence_count.items():
+            if v>10:
+                illegal_sentence.add(k)
+        return dict_before,illegal_sentence
+
+    def is_page_no(self,sentence):
+        if len(sentence)<10:
+            if re.search("\d+页|^\-\d+\-$",sentence) is not None:
+                return True
+
+    def block_tree(self,childs):
+        for child in childs:
+
+            if not child["block"]:
+                child["block"] = True
+                childs2 = child["child_title"]
+                self.block_tree(childs2)
+
+
+    def buildParsetree(self,list_obj,products=[],auto_merge_table=True,auto_append=False):
+
+        self.parseTree = None
+        trees = []
+        list_length = []
+        for obj in list_obj[:200]:
+            if obj.name!="table":
+                list_length.append(len(obj.text))
+        if len(list_length)>0:
+            max_length = max(list_length)
+        else:
+            max_length = 40
+        max_length = min(max_length,40)
+
+        logger.debug("%s:%d"%("max_length",max_length))
+
+
+        list_data = []
+        last_table_index = None
+        last_table_columns = None
+        last_table = None
+        dict_before,illegal_sentence = self.count_title_before(list_obj)
+        for obj_i in range(len(list_obj)):
+            obj = list_obj[obj_i]
+
+            # logger.debug("==obj %s"%obj.text[:20])
+
+            _type = "sentence"
+            _text = standard_product(obj.text)
+            if obj.name=="table":
+                _type = "table"
+                _text = standard_product(str(obj))
+            _append = False
+            sentence_title = None
+            sentence_title_text = None
+            sentence_groups = None
+            title_index = None
+            next_index = None
+            parent_title = None
+            title_before = None
+            title_after = None
+            title_next = None
+            childs = []
+            # new
+            sentence_index = obj.sentence_index
+            wordOffset_begin = obj.wordOffset_begin
+            wordOffset_end = obj.wordOffset_end
+
+            list_kv = obj.get("kv",[])
+
+            list_table = None
+            block = False
+
+            has_product = False
+
+            if _type=="sentence":
+                if _text in illegal_sentence:
+                    continue
+
+
+                sentence_groups = self.find_title_by_pattern(_text[:10])
+                if sentence_groups:
+                    title_before = standard_title_context(sentence_groups[1][1])
+                    title_after = sentence_groups[-1][1]
+                    sentence_title_text = sentence_groups[0][1]
+                    other_text = _text.replace(sentence_title_text,"")
+                    if (title_before in dict_before and dict_before[title_before]>1) or title_after!="":
+                        sentence_title = sentence_groups[0][0]
+
+                        title_index = sentence_groups[-2][1]
+                        next_index = self.get_next_title(title_index)
+
+                        other_text = _text.replace(sentence_title_text,"")
+
+                        for p in products:
+                            if other_text.strip()==p.strip():
+                                has_product = True
+
+                    else:
+                        _fix = False
+
+                        for p in products:
+                            if other_text.strip()==p.strip():
+                                title_before = "=产品"
+                                sentence_title = "title_0"
+                                sentence_title_text = p
+                                title_index = "0"
+                                title_after = "产品="
+                                next_index = "0"
+                                _fix = True
+                                has_product = True
+                                break
+                        if not _fix:
+                            title_before = None
+                            title_after = None
+                            sentence_title_text = None
+                else:
+                    if len(_text)<40 and re.search(_param_pattern,_text) is not None:
+                        for p in products:
+                            if _text.find(p)>=0:
+                                title_before = "=产品"
+                                sentence_title = "title_0"
+                                sentence_title_text = p
+                                title_index = "0"
+                                title_after = "产品="
+                                next_index = "0"
+                                _fix = True
+                                has_product = True
+                                break
+
+            # 合并两个非标题句子 20241106 注销,由于 485441521 招标内容结束位置不对
+            if auto_append:
+                if _type=="sentence":
+                    if sentence_title is None and len(list_data)>0 and list_data[-1]["sentence_title"] is not None and list_data[-1]["line_width"]>=max_length*0.6:
+                        list_data[-1]["text"] += _text
+                        list_data[-1]["line_width"] = len(_text)
+                        update_kv_span(list_kv,len(_text))
+                        list_data[-1]["kv"].extend(list_kv)
+                        _append = True
+                    elif sentence_title is None and len(list_data)>0 and _type==list_data[-1]["type"]:
+                        if list_data[-1]["line_width"]>=max_length*0.7:
+                            list_data[-1]["text"] += _text
+                            list_data[-1]["line_width"] = len(_text)
+                            update_kv_span(list_kv,len(_text))
+                            list_data[-1]["kv"].extend(list_kv)
+                            _append = True
+
+            if _type=="table":
+                _soup = BeautifulSoup(_text,"lxml")
+                _table = _soup.find("table")
+                if _table is not None:
+                    list_table = getTable(_table)
+                    if len(list_table)==0:
+                        continue
+                    table_columns = len(list_table[0])
+
+                    if auto_merge_table:
+                        if last_table_index is not None and abs(obj_i-last_table_index)<=2 and last_table_columns is not None and last_table_columns==table_columns:
+                            if last_table is not None:
+                                trs = getTrs(_table)
+                                last_tbody = BeautifulSoup(last_table["text"],"lxml")
+                                _table = last_tbody.find("table")
+                                last_trs = getTrs(_table)
+                                _append = True
+
+                                for _line in list_table:
+                                    last_table["list_table"].append(_line)
+                                if len(last_trs)>0:
+                                    for _tr in trs:
+                                        last_trs[-1].insert_after(copy.copy(_tr))
+                                    last_table["text"] = re.sub("</?html>|</?body>","",str(last_tbody))
+
+                                last_table_index = obj_i
+                                last_table_columns = len(list_table[-1])
+
+
+            if not _append:
+                _data = {"type":_type, "text":_text,"list_table":list_table,"line_width":len(_text),"sentence_title":sentence_title,"title_index":title_index,
+                         "sentence_title_text":sentence_title_text,"sentence_groups":sentence_groups,"parent_title":parent_title,
+                         "child_title":childs,"title_before":title_before,"title_after":title_after,"title_next":title_next,"next_index":next_index,
+                         "block":block,"has_product":has_product,
+                         "sentence_index":sentence_index,"wordOffset_begin":wordOffset_begin,"wordOffset_end":wordOffset_end,
+                         "kv":list_kv
+                        }
+
+                if _type=="table":
+                    last_table = _data
+                    last_table_index = obj_i
+                    if list_table:
+                        last_table_columns = last_table_columns = len(list_table[-1])
+
+                if sentence_title is not None:
+                    if len(list_data)>0:
+                        if self.is_title_first(title_index):
+                            for i in range(1,len(list_data)+1):
+                                _d = list_data[-i]
+                                if _d["sentence_title"] is not None:
+                                    _data["parent_title"] = _d
+                                    _d["child_title"].append(_data)
+                                    break
+                        else:
+                            _find = False
+                            for i in range(1,len(list_data)+1):
+                                if _find:
+                                    break
+                                _d = list_data[-i]
+                                if _d.get("sentence_title")==sentence_title and title_before==_d["title_before"] and title_after==_d["title_after"]:
+                                    if _d["next_index"]==title_index and _d["title_next"] is None and not _d["block"]:
+                                        _data["parent_title"] = _d["parent_title"]
+                                        _d["title_next"] = _data
+                                        if len(_d["child_title"])>0:
+                                            _d["child_title"][-1]["title_next"] = ""
+                                            self.block_tree(_d["child_title"])
+                                        if _d["parent_title"] is not None:
+                                            _d["parent_title"]["child_title"].append(_data)
+                                        _find = True
+                                        break
+                            for i in range(1,len(list_data)+1):
+                                if _find:
+                                    break
+                                _d = list_data[-i]
+                                if i==1 and not _d["block"] and _d.get("sentence_title")==sentence_title and title_before==_d["title_before"] and title_after==_d["title_after"]:
+                                    _data["parent_title"] = _d["parent_title"]
+                                    _d["title_next"] = _data
+                                    if len(_d["child_title"])>0:
+                                        _d["child_title"][-1]["title_next"] = ""
+                                        self.block_tree(_d["child_title"])
+                                    if _d["parent_title"] is not None:
+                                        _d["parent_title"]["child_title"].append(_data)
+                                    _find = True
+                                    break
+                            title_before = standard_title_context(title_before)
+                            title_after = standard_title_context(title_after)
+                            for i in range(1,len(list_data)+1):
+                                if _find:
+                                    break
+                                _d = list_data[-i]
+                                if _d.get("sentence_title")==sentence_title and title_before==standard_title_context(_d["title_before"]) and title_after==standard_title_context(_d["title_after"]):
+                                    if _d["next_index"]==title_index and _d["title_next"] is None and not _d["block"]:
+                                        _data["parent_title"] = _d["parent_title"]
+                                        _d["title_next"] = _data
+                                        if len(_d["child_title"])>0:
+                                            _d["child_title"][-1]["title_next"] = ""
+                                            self.block_tree(_d["child_title"])
+                                        if _d["parent_title"] is not None:
+                                            _d["parent_title"]["child_title"].append(_data)
+                                        _find = True
+                                        break
+                            for i in range(1,len(list_data)+1):
+                                if _find:
+                                    break
+                                _d = list_data[-i]
+                                if not _d["block"] and _d.get("sentence_title")==sentence_title and title_before==standard_title_context(_d["title_before"]) and title_after==standard_title_context(_d["title_after"]):
+                                    _data["parent_title"] = _d["parent_title"]
+                                    _d["title_next"] = _data
+                                    if len(_d["child_title"])>0:
+                                        _d["child_title"][-1]["title_next"] = ""
+                                        # self.block_tree(_d["child_title"])
+                                    if _d["parent_title"] is not None:
+                                        _d["parent_title"]["child_title"].append(_data)
+                                    _find = True
+                                    break
+                            for i in range(1,min(len(list_data)+1,20)):
+                                if _find:
+                                    break
+                                _d = list_data[-i]
+                                if not _d["block"] and _d.get("sentence_title")==sentence_title and title_before==standard_title_context(_d["title_before"]):
+                                    _data["parent_title"] = _d["parent_title"]
+                                    _d["title_next"] = _data
+                                    if len(_d["child_title"])>0:
+                                        _d["child_title"][-1]["title_next"] = ""
+                                        # self.block_tree(_d["child_title"])
+                                    if _d["parent_title"] is not None:
+                                        _d["parent_title"]["child_title"].append(_data)
+                                    _find = True
+                                    break
+
+                            if not _find:
+                                if len(list_data)>0:
+                                    for i in range(1,len(list_data)+1):
+                                        _d = list_data[-i]
+                                        if _d.get("sentence_title") is not None:
+                                            _data["parent_title"] = _d
+                                            _d["child_title"].append(_data)
+                                            break
+
+
+                else:
+                    if len(list_data)>0:
+                        for i in range(1,len(list_data)+1):
+                            _d = list_data[-i]
+                            if _d.get("sentence_title") is not None:
+                                _data["parent_title"] = _d
+                                _d["child_title"].append(_data)
+                                break
+
+                list_data.append(_data)
+
+        for _data in list_data:
+
+            childs = _data["child_title"]
+
+            for c_i in range(len(childs)):
+                cdata = childs[c_i]
+                if cdata["has_product"]:
+                    continue
+                else:
+                    if c_i>0:
+                        last_cdata = childs[c_i-1]
+                        if cdata["sentence_title"] is not None and last_cdata["sentence_title"] is not None and last_cdata["title_before"]==cdata["title_before"] and last_cdata["title_after"]==cdata["title_after"] and last_cdata["has_product"]:
+                            cdata["has_product"] = True
+                    if c_i<len(childs)-1:
+                        last_cdata = childs[c_i+1]
+                        if cdata["sentence_title"] is not None and last_cdata["sentence_title"] is not None and last_cdata["title_before"]==cdata["title_before"] and last_cdata["title_after"]==cdata["title_after"] and last_cdata["has_product"]:
+                            cdata["has_product"] = True
+            for c_i in range(len(childs)):
+                cdata = childs[len(childs)-1-c_i]
+                if cdata["has_product"]:
+                    continue
+                else:
+                    if c_i>0:
+                        last_cdata = childs[c_i-1]
+                        if cdata["sentence_title"] is not None and last_cdata["sentence_title"] is not None and last_cdata["title_before"]==cdata["title_before"] and last_cdata["title_after"]==cdata["title_after"] and last_cdata["has_product"]:
+                            cdata["has_product"] = True
+                    if c_i<len(childs)-1:
+                        last_cdata = childs[c_i+1]
+                        if cdata["sentence_title"] is not None and last_cdata["sentence_title"] is not None and last_cdata["title_before"]==cdata["title_before"] and last_cdata["title_after"]==cdata["title_after"] and last_cdata["has_product"]:
+                            cdata["has_product"] = True
+
+
+        return list_data
+
+    def get_sentence_tree(self):
+        return self.tree
+
+    def extract_kv(self,k_pattern,from_kv=True,from_outline=True):
+        result_kv = []
+        try:
+            re.compile(k_pattern)
+        except Exception as e:
+            log("k_pattern error: "+str(e))
+            traceback.print_exc()
+            return result_kv
+        for sentence in self.tree:
+            _text = sentence["text"]
+            list_kv = sentence.get("kv",[])
+            sentence_index_from = sentence["sentence_index"]
+            sentence_index_to = sentence_index_from
+            if from_kv:
+                for _d in list_kv:
+                    _k = _d.get("key","")
+                    _v = _d.get("value","")
+                    _k_span = _d.get("key_span",[])
+                    _v_span = _d.get("value_span",[])
+                    if re.search(k_pattern,_k) is not None:
+                        result_kv.append({"key":_k,"value":_v,"from_kv":True,"key_sentence_index_from":sentence_index_from,
+                                          "key_sentence_index_to":sentence_index_to,"value_sentence_index_from":sentence_index_from,
+                                          "value_sentence_index_to":sentence_index_to,
+                                          "key_span":_k_span,
+                                          "value_span":_v_span})
+            if from_outline:
+                if re.search(k_pattern,_text) is not None and sentence.get("sentence_title") is not None:
+
+                    childs = get_childs([sentence])
+                    _child_text = ""
+                    for _child in childs:
+                        sentence_index_to = _child["sentence_index"]
+                        _child_text+=_child["text"]
+                    result_kv.append({"key":_text,"value":_child_text,"from_outline":True,"key_sentence_index_from":sentence_index_from,
+                                      "key_sentence_index_to":sentence_index_from,"value_sentence_index_from":sentence_index_from,
+                                      "value_sentence_index_to":sentence_index_to,})
+        return result_kv
+
+    # def extract_kvs_from_table(self,list_pattern):
+
+
+
+
+if __name__ == '__main__':
+    # HTML 文本
+    html_content = """
+<div>
+ <div>
+   中介服务交易|中介服务交易;中选公示;广东省中介超市交易系统 
+ </div> 
+ <div>
+   采购项目编码: 4451024573035462411180923 
+ </div> 
+ <div>
+   采购项目名称: 意溪中学办公楼一楼卫生间、保密室、运动场围墙及零碎修缮工程(结算审核) 
+ </div> 
+ <div>
+   项目业主名称: <a target="_blank" class="markBlue" href="/bdqyhx/212724763956953088.html" style="color: #3083EB !important;text-decoration: underline;">潮州市湘桥区意溪中学</a> 
+ </div> 
+ <div>
+   中介服务事项: 无(属于非行政管理的中介服务项目采购) 
+ </div> 
+ <div>
+   投资审批项目编码: 
+ </div> 
+ <div>
+   服务金额: 暂不做评估与测算 
+ </div> 
+ <div>
+   金额说明: 按粤价函【2011】742号文及潮财建【2019】19号文的收费标准执行 (行业收费标准)计算。 
+ </div> 
+ <div>
+   选取中介机构方式: 直接选取 
+ </div> 
+ <div>
+   业务单位咨询电话: 13715781262 
+ </div> 
+ <div>
+   监督举报: 
+ </div> 
+ <div>
+   中选中介机构名称: <a target="_blank" class="markBlue" href="/bdqyhx/216479817075470337.html" style="color: #3083EB !important;text-decoration: underline;">中庭国际设计有限公司</a> 
+ </div> 
+ <div>
+   中介机构联系地址: 广州市天河区大观南路26号C203A 
+ </div>
+</div>
+    """
+    _tree = html_to_tree(html_content)
+    extract_kv_from_tree(_tree)
+
+    list_sentences = get_sentence_from_tree(_tree)
+    _pd = Html2KVTree(html_content)
+    _pd.print_tree(_pd.tree,"-|")
+
+
+    list_kv = _pd.extract_kv("交货地点")
+    print(list_kv)
+
+
+
+
+