C# 解析自定义筛选器Syntax的最佳方法

C# 解析自定义筛选器Syntax的最佳方法,c#,parsing,filter,tokenize,C#,Parsing,Filter,Tokenize,我有一个程序,允许用户在DataGridView列标题的文本框中输入过滤器。 然后将此文本解析为筛选器操作列表 目前,我将字符串标记化,然后在hunge For循环中构建列表 我可以用什么样的设计模式来摆脱巨大的建筑需求 我还可以采取其他措施来改进设计吗 在当前状态下,很难添加对另一个操作符、数据类型的支持或构建除filterlist之外的其他内容。假设我需要用构建一个表达式(很快就会出现这种情况)或构建一个SQLWHERE子句来替换filterlist 过滤综合税 筛选器遵循此语法,对字符串、

我有一个程序,允许用户在DataGridView列标题的文本框中输入过滤器。 然后将此文本解析为筛选器操作列表

目前,我将字符串标记化,然后在hunge For循环中构建列表

我可以用什么样的设计模式来摆脱巨大的建筑需求

我还可以采取其他措施来改进设计吗

在当前状态下,很难添加对另一个操作符、数据类型的支持或构建除filterlist之外的其他内容。假设我需要用构建一个表达式(很快就会出现这种情况)或构建一个SQLWHERE子句来替换filterlist

过滤综合税 筛选器遵循此语法,对字符串、数字和日期时间有效:

范围运算符

下限上限

29..52将被解析为过滤器列表“x>=29”和“x 29”中的两个元素

通配符

*someText*
将等于x,就像SQL中的“%someText%”

字符串文字

操作员喜欢。。或*在单引号之间被忽略

代币 所以我定义了三个代币

范围运算符用于

通配符用于*

文本用于纯值和单引号中的值

我构建列表的丑陋代码
publicstaticfilterlistparse(stringfilter,stringcolumnname,Type dataType),其中T:class
{
if(数据类型!=typeof(float)&&dataType!=typeof(DateTime)&&dataType!=typeof(string))
抛出新的NotSupportedException(String.Format(“不支持数据类型“{0}”,数据类型));
Token[]filterParts=tokenize(过滤器);
filterParts=清理(filterParts);
StringBuilder sb=新的StringBuilder();
for(int i=0;i3)
{
抛出新的FilterException(“RangeOperator不能与其他运算符混合”);
}
如果(i==0)
{
如果(filterParts.Length==2)
{
//Bis运算符
令牌权限=过滤器部件[1];
if(right.TokenType!=TokenType.Text)
抛出新的FilterException(“预期为TextToken”);
if(String.IsNullOrEmpty(right.Text))
抛出新的FilterException(“文本必须有值”);
if(right.Text.StartsWith(“.”)
抛出新的FilterException(“以点开头的文本无效”);
if(数据类型==typeof(字符串))
返回新的FilterList{{columnname,FilterOperator.Less,right.Text};
//filterString=String.Format(({0}<'{1}'或{0}为NULL)”,columnname,right.Text);
如果(数据类型==typeof(浮点))
{
浮动权f;
如果(!float.TryParse(right.Text,out rightF))
抛出新筛选器异常(
Format(“right参数具有错误的格式“{0}”,right.Text));
返回新的FilterList{{columnname,FilterOperator.Less,rightF};
//filterString=String.Format(({0}<{1}或{0}为NULL)”,columnname,rightF.ToString(CultureInfo.InvariantCulture));
}
if(数据类型==typeof(日期时间))
{
DateTime righdt=parseDateTime(right.Text);
返回新的FilterList{{columnname,FilterOperator.Less,rightDt};
//filterString=String.Format(({0}<'{1}'或{0}为NULL)”,columnname,rightDT.ToString(CultureInfo.InvariantCulture));
}
打破
}
抛出新的FilterException(“参数太多”);
}
如果(i==1)
{
如果(filterParts.Length==2)
{
//冯算子
左令牌=过滤器部件[0];
if(left.TokenType!=TokenType.Text)
抛出新的FilterException(“预期为TextToken”);
if(String.IsNullOrEmpty(left.Text))
抛出新的FilterException(“参数必须有值”);
if(数据类型==typeof(字符串))
返回新的FilterList{{columnname,FilterOperator.Greater,left.Text};
//filterString=String.Format(({0}>'{1}'),columnname,left.Text);
如果(数据类型==typeof(浮点))
{
浮动左F;
如果(!float.TryParse(left.Text,out leftF))
抛出新的FilterException(String.Format(
“左参数已打开
public static FilterList<T> Parse<T>(string filter, string columnname, Type dataType) where T : class
        {
            if (dataType != typeof(float) && dataType != typeof(DateTime) && dataType != typeof(string))
                throw new NotSupportedException(String.Format("Data Type is not supported '{0}'", dataType));

            Token[] filterParts = tokenize(filter);
            filterParts = cleanUp(filterParts);

            StringBuilder sb = new StringBuilder();

            for (int i = 0; i < filterParts.Length; i++)
            {
                Token currentToken = filterParts[i];
                //BereichsFilter prüfen und bauen
                if (currentToken.TokenType == TokenType.RangeOperator)
                {
                    if (filterParts.Length < 2)
                    {
                        throw new FilterException("Missing argument for RangeOperator");
                    }
                    if (filterParts.Length > 3)
                    {
                        throw new FilterException("RangeOperator can't be mixed with other operators");
                    }

                    if (i == 0)
                    {
                        if (filterParts.Length == 2)
                        {
                            //Bis Operator
                            Token right = filterParts[1];
                            if (right.TokenType != TokenType.Text)
                                throw new FilterException("TextToken expected");
                            if (String.IsNullOrEmpty(right.Text))
                                throw new FilterException("Text must have value");
                            if (right.Text.StartsWith("."))
                                throw new FilterException("Text starting with a dot is not valid");

                            if (dataType == typeof(string))
                                return new FilterList<T> { { columnname, FilterOperator.Less, right.Text } };
                            //filterString = String.Format("({0} < '{1}' OR {0} IS NULL)", columnname, right.Text);
                            if (dataType == typeof(float))
                            {
                                float rightF;
                                if (!float.TryParse(right.Text, out rightF))
                                    throw new FilterException(
                                        String.Format("right parameter has wrong format '{0}'", right.Text));
                                return new FilterList<T> { { columnname, FilterOperator.Less, rightF } };
                                //filterString = String.Format("({0} < {1} OR {0} IS NULL)", columnname, rightF.ToString(CultureInfo.InvariantCulture));
                            }
                            if (dataType == typeof(DateTime))
                            {
                                DateTime rightDt = parseDateTime(right.Text);
                                return new FilterList<T> { { columnname, FilterOperator.Less, rightDt } };
                                //filterString = String.Format("({0} < '{1}' OR {0} IS NULL)", columnname, rightDT.ToString(CultureInfo.InvariantCulture));
                            }

                            break;
                        }
                        throw new FilterException("too many arguments");
                    }
                    if (i == 1)
                    {
                        if (filterParts.Length == 2)
                        {
                            //Von Operator
                            Token left = filterParts[0];
                            if (left.TokenType != TokenType.Text)
                                throw new FilterException("TextToken expected");
                            if (String.IsNullOrEmpty(left.Text))
                                throw new FilterException("Argument must have value");

                            if (dataType == typeof(string))
                                return new FilterList<T> { { columnname, FilterOperator.Greater, left.Text } };
                            //filterString = String.Format("({0} > '{1}')", columnname, left.Text);
                            if (dataType == typeof(float))
                            {
                                float leftF;
                                if (!float.TryParse(left.Text, out leftF))
                                    throw new FilterException(String.Format(
                                        "left parameter has wrong format '{0}'", left.Text));
                                return new FilterList<T> { { columnname, FilterOperator.Greater, leftF } };
                                //filterString = String.Format("({0} > {1})", columnname, leftF.ToString(CultureInfo.InvariantCulture));
                            }
                            if (dataType == typeof(DateTime))
                            {
                                DateTime leftDt = parseDateTime(left.Text);
                                return new FilterList<T> { { columnname, FilterOperator.Greater, leftDt } };
                                //filterString = String.Format("({0} > '{1}')", columnname, leftDT.ToString(CultureInfo.InvariantCulture));
                            }
                            break;
                        }
                        else
                        {
                            //BereichsOperator
                            Token left = filterParts[0];
                            if (left.TokenType != TokenType.Text)
                                throw new FilterException("TextToken expected");
                            if (String.IsNullOrEmpty(left.Text))
                                throw new FilterException("parameter must have value");

                            Token right = filterParts[2];
                            if (right.TokenType != TokenType.Text)
                                throw new FilterException("TextToken expected");
                            if (String.IsNullOrEmpty(right.Text))
                                throw new FilterException("parameter must have value");

                            if (dataType == typeof(string))
                                return new FilterList<T>
                                {
                                    {columnname, FilterOperator.GreaterOrEqual, left.Text},
                                    {columnname, FilterOperator.LessOrEqual, right.Text}
                                };
                            //filterString = String.Format("{0} >= '{1}' AND {0} <= '{2}'", columnname, left.Text, right.Text);
                            if (dataType == typeof(float))
                            {
                                float rightF;
                                if (!float.TryParse(right.Text, out rightF))
                                    throw new FilterException(
                                        String.Format("right parameter has wrong format '{0}'", right.Text));
                                float leftF;
                                if (!float.TryParse(left.Text, out leftF))
                                    throw new FilterException(String.Format(
                                        "left parameter has wrong format'{0}'", left.Text));
                                return new FilterList<T>
                                {
                                    {columnname, FilterOperator.GreaterOrEqual, leftF},
                                    {columnname, FilterOperator.LessOrEqual, rightF}
                                };
                                //filterString = String.Format("{0} >= {1} AND {0} <= {2}", columnname, leftF.ToString(CultureInfo.InvariantCulture), leftF.ToString(CultureInfo.InvariantCulture));
                            }
                            if (dataType == typeof(DateTime))
                            {
                                DateTime rightDt = parseDateTime(right.Text);
                                DateTime leftDt = parseDateTime(left.Text); 
                                return new FilterList<T>
                                {
                                    {columnname, FilterOperator.GreaterOrEqual, leftDt},
                                    {columnname, FilterOperator.LessOrEqual, rightDt}
                                };
                                //filterString = String.Format("{0} >= '{1}' AND {0} <= '{2}'", columnname, leftDT.ToString(CultureInfo.InvariantCulture), rightDT.ToString(CultureInfo.InvariantCulture));
                            }

                            break;
                        }
                    }
                    throw new FilterException("unexpected parameter");
                }
                //Stringsuche Bauen
                if (currentToken.TokenType == TokenType.Wildcard)
                {
                    if (dataType != typeof(string))
                        throw new FilterException("Operator not allowed with this Data Type");
                    //Fehler wenn Datentyp kein string
                    sb.Append("%");
                }
                else if (currentToken.TokenType == TokenType.Text)
                    sb.Append(escape(currentToken.Text));
            }

            //Filterung auf Zeichenfolge
            string text = sb.ToString();
            if (dataType == typeof(string))
                return new FilterList<T> { { columnname, FilterOperator.Like, text } };
            //filterString = String.Format("{0} LIKE '{1}' ESCAPE '\\'", columnname, text);
            if (dataType == typeof(DateTime))
            {
                DateTime dt = parseDateTime(text);
                return new FilterList<T> { { columnname, FilterOperator.Equal, dt } };
                //filterString = String.Format("{0} = '{1}'", columnname, DT.ToString(CultureInfo.InvariantCulture));
            }
            if (dataType == typeof(float))
            {
                float f;
                if (!float.TryParse(text, out f))
                    throw new FilterException(String.Format("parameter has wrong format '{0}'", text));
                return new FilterList<T> { { columnname, FilterOperator.Equal, f } };
                //filterString = String.Format("{0} = {1}", columnname, F.ToString(CultureInfo.InvariantCulture));
            }

            return null;
        }
start
  = filters

filters
  = left:filter " " right:filters { return {filter: left, operation: "AND", filters: right};}
  / filter

filter
  = applicableRange:range {return {type: "range", range: applicableRange};}
 / openWord:wildcard  {return {type: "wildcard", word: openWord};}
 / simpleWord:word {return simpleWord;}
 / sentence:sentence {return sentence;}

sentence
 = "'" + letters:[0-9a-zA-Z *.]* "'" {return {type: "sentence", value: letters.join("")};}

word "aword"
  = letters:[0-9a-zA-Z]+ { return {type: "word", value: letters.join("")}; }

wildcard
  = 
 "*" word:word "*" {return {type: "wildcardBoth", value: word};}
/ "*" word:word {return {type: "wildcardStart", value: word};}
/ word:word "*" {return {type: "wildcardEnd", value: word};}

range "range"
  = left:word? ".." right:word? {return {from: left, to: right};}
'testing range' 123..456 123.. ..abc 'and testing wildcards' word1* *word2 *word3* cool heh
{
   "filter": {
      "type": "sentence",
      "value": "testing range"
   },
   "operation": "AND",
   "filters": {
      "filter": {
         "type": "range",
         "range": {
            "from": {
               "type": "word",
               "value": "123"
            },
            "to": {
               "type": "word",
               "value": "456"
            }
         }
      },
      "operation": "AND",
      "filters": {
         "filter": {
            "type": "range",
            "range": {
               "from": {
                  "type": "word",
                  "value": "123"
               },
               "to": null
            }
         },
         "operation": "AND",
         "filters": {
            "filter": {
               "type": "range",
               "range": {
                  "from": null,
                  "to": {
                     "type": "word",
                     "value": "abc"
                  }
               }
            },
            "operation": "AND",
            "filters": {
               "filter": {
                  "type": "sentence",
                  "value": "and testing wildcards"
               },
               "operation": "AND",
               "filters": {
                  "filter": {
                     "type": "wildcard",
                     "word": {
                        "type": "wildcardEnd",
                        "value": {
                           "type": "word",
                           "value": "word1"
                        }
                     }
                  },
                  "operation": "AND",
                  "filters": {
                     "filter": {
                        "type": "wildcard",
                        "word": {
                           "type": "wildcardStart",
                           "value": {
                              "type": "word",
                              "value": "word2"
                           }
                        }
                     },
                     "operation": "AND",
                     "filters": {
                        "filter": {
                           "type": "wildcard",
                           "word": {
                              "type": "wildcardBoth",
                              "value": {
                                 "type": "word",
                                 "value": "word3"
                              }
                           }
                        },
                        "operation": "AND",
                        "filters": {
                           "filter": {
                              "type": "word",
                              "value": "cool"
                           },
                           "operation": "AND",
                           "filters": {
                              "type": "word",
                              "value": "heh"
                           }
                        }
                     }
                  }
               }
            }
         }
      }
   }
}