Question

我有一大堆电子邮件，我需要从中提取信息。我最近在一个网站上存储了电子邮件中客户的所有联系信息。他们想要开始将其存储在数据库中。我正在使用Java来尝试提取这些信息。我有点卡住了。

我已经能够自己加载电子邮件，但无法提取信息。这是一封电子邮件示例：

> ----------------------------------------------------------------------
> Name: Person's Name
> Phone:=20
> Email: test@testperson.com
> Street:=20
> City:=20
> State:=20
> Zip:=20
> Country:=20
> Arrival: 15 Nov 2010
> Departure: 22 Nov 2010
> Message: This is a message
> ----------------------------------------------------------------------
> Name: Second Person
> Phone:=555-5554
> Email: test@testpsdf.com
> Street:=1234 Main St.
> City:=20
> State:=20
> Zip:=23412
> Country:=20
> Arrival: 15 Nov 2010
> Departure: 22 Nov 2010
> Message: This is a message
> ----------------------------------------------------------------------

我需要拉到没有=20的地方。我需要以某种方式将所有这些信息放入表格或CSV文件中，以便将其导入mysql数据库。

编辑：

这实际上是文件看起来更像

> ----------------------------------------------------------------------
> Name: Erin 
> Phone: 401-
> Email: eri
> Street: 737
> City: Paw
> State: 
> Zip: 02
> Country: USA
> Arrival: 17 Jul 2011
> Departure: 23 Jul 2011
> Message: I .=20
> ----------------------------------------------------------------------
>=20
> A representative will be in touch shortly.
> Thank You,
>
>=20
Begin forwarded message:

> From: 
> Date: July 8, 2010 12:35:13 PM EDT
> To: 
> Subject: Thank you for completing our contact form!
>=20
> Thank you for completing our contact form! We received the following =
information from you:
> ----------------------------------------------------------------------
> Name: Ludd
> Phone:=20
> Email: aedu
> Street: 25
> City: Signal 
> State: 
> Zip: 
> Country: USA
> Arrival: 25 Nov 2010
> Departure: 30 Nov 2010
> Message: Not sure if 
> ----------------------------------------------------------------------
>=20
> A representative will be in touch shortly.
> Thank You,
>
>=20
Begin forwarded message:

> From: 
> Date: July 8, 2010 11:29:49 AM EDT
> To: 
> Subject: Thank you for completing our contact form!
>=20
> Thank you for completing our contact form! We received the following =
information from you:
> ----------------------------------------------------------------------
> Name: Stephanie
> Phone: 41
> Email: sgor
> Street: 2-
> City: 
> State: On
> Zip:  1J6
> Country: 
> Arrival: 18 Aug 2010
> Departure: 21 Aug 2010
> Message:=20
> ----------------------------------------------------------------------
>=20
> A representative will be in touch shortly.
> Thank You,

>=20
Begin forwarded message:

> From: 
> Date: July 8, 2010 11:16:36 AM EDT
> To:
> Subject: Thank you for completing our contact form!
>=20
> Thank you for completing our contact form! We received the following =
information from you:
> ----------------------------------------------------------------------
> Name: Stacey 
> Phone: 001
> Email: staceymou
> Street: 60 
> City: New York
> State: NY
> Zip: 0
> Country: USA
> Arrival: 10 Dec 2010
> Departure: 14 Dec 2010
> Message: Looking to reserve 
> ----------------------------------------------------------------------

Answer 1

以下是一种将所有此类标头提取到Map<String, String>的方法。它使用Google的Guava library来简化事情：

public static Map<String, String> readValuesFromFile(final File f)
    throws IOException{

    final Splitter splitter =
        Splitter.on(':').trimResults().omitEmptyStrings();

    final Map<String, String> map = Maps.newHashMap();

    for(final String line : 

        Lists.transform(
            Files.readLines(f, Charsets.UTF_8),
            new Function<String, String>(){

                @Override
                public String apply(final String input){
                    return input != null && input.startsWith("> ")
                        ? input.substring(2)
                        : input;
                }

    })){

        if(line.startsWith("---")){
            break;
        }
        final String[] items =
            Iterables.toArray(splitter.split(line), String.class);
        if(items.length == 2 && !items[1].startsWith("=20")){
            map.put(items[0], items[1]);
        }
    }
    return map;
}

Answer 2

阅读文件，直至获得“＆gt; -------”行。阅读每一行（BufferedReader.readLine()），在其中找到“：”的位置，在该行前后使用该行的一部分（使用String.indexOf()，String.substring()，String.trim() ）。现在您有一个字段名称及其值。除非值为“= 20”，否则请将其放入数据库或CSV记录中。

如果再次遇到“＆gt; -------”行，则记录结束。您可以通过其中没有“：”来轻松检测到它。

从文本文件中提取某些值（名称，电子邮件，电话号码）

2 个答案: