在某些情况下使用双引号解析CSV

w3nuxt5m  于 2022-12-25  发布在  其他
关注(0)|答案(5)|浏览(124)

我有csv格式附带:
a1、a2、a3“、a4、a5”、a6
只有带有的字段才会有引号
使用Java,如何轻松地解析这个?我尽量避免使用开源CSV解析器作为公司的政策。谢谢。

brgchamk

brgchamk1#

可以将Matcher.find与以下正则表达式配合使用:

\s*("[^"]*"|[^,]*)\s*

下面是一个更完整的示例:

String s = "a1, a2, a3, \"a4,a5\", a6";
Pattern pattern = Pattern.compile("\\s*(\"[^\"]*\"|[^,]*)\\s*");
Matcher matcher = pattern.matcher(s);
while (matcher.find()) {
    System.out.println(matcher.group(1));
}

在线查看工作情况:ideone

k2arahey

k2arahey2#

我遇到过同样的问题(但用Python),我发现一种不用正则表达式的解决方法是:当你得到这一行时,检查是否有引号,如果有引号,用引号分割字符串,用逗号分割结果数组的偶数索引结果,奇数索引字符串应该是完整的引号值。
我不是Java程序员,所以把它当作伪代码...

line = String[];
    if ('"' in row){
        vals = row.split('"');
        for (int i =0; i<vals.length();i+=2){
            line+=vals[i].split(',');
        }
        for (int j=1; j<vals.length();j+=2){
            line+=vals[j];
        }
    }
    else{
        line = row.split(',')
    }

或者,使用正则表达式。

px9o7tmv

px9o7tmv3#

这里有一些代码,我希望在这里使用的代码不包括开源代码。

package bestsss.util;

import java.io.BufferedReader;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

public class SplitCSVLine {
    public static String[] splitCSV(BufferedReader reader) throws IOException{
        return splitCSV(reader, null, ',', '"');
    }

    /**
     * 
     * @param reader - some line enabled reader, we lazy
     * @param expectedColumns - convenient int[1] to return the expected
     * @param separator - the C(omma) SV (or alternative like semi-colon) 
     * @param quote - double quote char ('"') or alternative
     * @return String[] containing the field
     * @throws IOException
     */
    public static String[] splitCSV(BufferedReader reader, int[] expectedColumns, char separator, char quote) throws IOException{       
        final List<String> tokens = new ArrayList<String>(expectedColumns==null?8:expectedColumns[0]);
        final StringBuilder sb = new StringBuilder(24);

        for(boolean quoted=false;;sb.append('\n')) {//lazy, we do not preserve the original new line, but meh
            final String line = reader.readLine();
            if (line==null)
                break;
            for (int i = 0, len= line.length(); i < len; i++) { 
                final char c = line.charAt(i);
                if (c == quote) {
                    if( quoted   && i<len-1 && line.charAt(i+1) == quote ){//2xdouble quote in quoted 
                        sb.append(c);
                        i++;//skip it
                    }else{
                        if (quoted){
                            //next symbol must be either separator or eol according to RFC 4180
                            if (i==len-1 || line.charAt(i+1) == separator){
                                quoted = false;
                                continue;
                            }
                        } else{//not quoted
                            if (sb.length()==0){//at the very start
                                quoted=true;
                                continue;
                            }
                        }
                        //if fall here, bogus, just add the quote and move on; or throw exception if you like to
                        /*
                        5.  Each field may or may not be enclosed in double quotes (however
                           some programs, such as Microsoft Excel, do not use double quotes
                           at all).  If fields are not enclosed with double quotes, then
                           double quotes may not appear inside the fields.
                      */ 
                        sb.append(c);                   
                    }
                } else if (c == separator && !quoted) {
                    tokens.add(sb.toString());
                    sb.setLength(0); 
                } else {
                    sb.append(c);
                }
            }
            if (!quoted)
                break;      
        }
        tokens.add(sb.toString());//add last
        if (expectedColumns !=null)
            expectedColumns[0] = tokens.size();
        return tokens.toArray(new String[tokens.size()]);
    }
    public static void main(String[] args) throws Throwable{
        java.io.StringReader r = new java.io.StringReader("222,\"\"\"zzzz\", abc\"\" ,   111   ,\"1\n2\n3\n\"");
        System.out.println(java.util.Arrays.toString(splitCSV(new BufferedReader(r))));
    }
}
yvt65v4c

yvt65v4c4#

下面的代码看起来运行良好,可以处理引号中的引号。

final static Pattern quote = Pattern.compile("^\\s*\"((?:[^\"]|(?:\"\"))*?)\"\\s*,");

public static List<String> parseCsv(String line) throws Exception
{       
    List<String> list = new ArrayList<String>();
    line += ",";

    for (int x = 0; x < line.length(); x++)
    {
        String s = line.substring(x);
        if (s.trim().startsWith("\""))
        {
            Matcher m = quote.matcher(s);
            if (!m.find())
                throw new Exception("CSV is malformed");
            list.add(m.group(1).replace("\"\"", "\""));
            x += m.end() - 1;
        }
        else
        {
            int y = s.indexOf(",");
            if (y == -1)
                throw new Exception("CSV is malformed");
            list.add(s.substring(0, y));
            x += y;
        }
    }
    return list;
}
mutmk8jj

mutmk8jj5#

这是我用Python编写的解决方案,它可以处理单引号。

def parserow(line):
    ''' this splits the input line on commas ',' but allowing commas within fields
    if they are within double quotes '"'
    example:
        fieldname1,fieldname2,fieldname3
        field value1,"field, value2, allowing, commas", field value3
    gives:
        ['field value1','"field, value2, allowing, commas"', ' field value3']
    '''
    out = []
    current_field = ''
    within_quote = False
    for c in line:
        if c == '"':
            within_quote = not within_quote
        if c == ',':
            if not within_quote:
                out.append(current_field)
                current_field = ''
                continue
        current_field += c
    if len(current_field) != 0:
        out.append(current_field)
    return out

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