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我有 100 个文件，每个文件包含 x 条新闻文章。这些文章由具有以下缩写的部分构成：

HD BY WC PD SN SC PG LA CY LP TD CO IN NS RE IPC PUB AN

where[LP]并且[TD]可以包含任意数量的段落。

典型的消息如下所示：

HD Corporate News: Alcoa Earnings Soar; Outlook Stays Upbeat 
BY By James R. Hagerty and Matthew Day 
WC 421 words
PD 12 July 2011
SN The Wall Street Journal
SC J
PG B7
LA English
CY (Copyright (c) 2011, Dow Jones & Company, Inc.) 

LP 

Alcoa Inc.'s profit more than doubled in the second quarter, but the giant 
aluminum producer managed only to meet analysts' recently lowered forecasts.

Alcoa serves as a bellwether for U.S. corporate earnings because it is the 
first major company to report and draws demand from a wide range of 
industries.

TD 

The results marked an early test of how corporate optimism is holding up 
in the face of bleak economic news.

License this article from Dow Jones Reprint 
Service[http://www.djreprints.com/link/link.html?FACTIVA=wjco20110712000115]

CO 
almam : ALCOA Inc

IN 
i2245 : Aluminum | i22 : Primary Metals | i224 : Non-ferrous Metals | imet 
  : Metals/Mining

NS 
c15 : Performance | c151 : Earnings | c1521 : Analyst 
Comment/Recommendation | ccat : Corporate/Industrial News | c152 : 
Earnings Projections | ncat : Content Types | nfact : Factiva Filters | 
nfce : FC&E Exclusion Filter | nfcpin : FC&E Industry News Filter

RE 
usa : United States | use : Northeast U.S. | uspa : Pennsylvania | namz : 
North America

IPC 
DJCS | EWR | BSC | NND | CNS | LMJ | TPT

PUB 
Dow Jones & Company, Inc.

AN 
Document J000000020110712e77c00035

每篇文章之后，在新文章开始之前有 4 个换行符。我需要将这些文章放入一个数组中，如下：

$articles = array(
  [0] = array (
    [HD] => Corporate News: Alcoa earnings Soar; Outlook...
    [BY] => By James R. Hagerty...
    ...
    [AN] => Document J000000020110712e77c00035
  )
)
4

1 回答 1

3

一种使用explode分隔每个块和一个正则表达式来提取字段的方法：

$pattern = <<<'LOD'
~
# definition
(?<fieldname> (?:HD|BY|WC|PD|SN|SC|PG|LA|CY|LP|TD|CO|IN|NS|RE|IPC|PUB|AN)$ ){0}

# pattern
\G(?<key>\g<fieldname>) \s+
(?<value>
    .+ 
    (?: \R{1,2} (?!\g<fieldname>) .+ )*+
)
(?:\R{1,3}|\z)
~xm
LOD;
$subjects = explode("\r\n\r\n\r\n\r\n", $text);
$result = array();

foreach($subjects as $i => $subject) {
    if (preg_match_all($pattern, $subject, $matches, PREG_SET_ORDER)) {
        foreach ($matches as $match) {
            $result[$i][$match['key']]=$match['value'];
        }
    }
}
echo '<pre>', print_r($result, true);

图案细节：

图案分为两部分：

在定义部分，我编写了一个名为fieldname的子模式，以便稍后在主模式中使用它。此模式还检查每个字段名以$锚点结束一行。

主要图案：

\G                        # this forces the match to be contiguous to the
                          # precedent match or the start of the string (no gap)
(?<key> \g<fieldname> )   # a capturing group named "key" for the fieldname
\s+                       # one or more white characters
(?<value>                 # open a capturing group named "value" for the
                          # field content
    .+                    # all characters except newlines 1 or more times
    (?:                   # open an atomic group
        \R\R?+            # one or two newlines to allow paragraphs (LP & TD) 
        (?!\g<fieldname>) # but not followed by a fieldname (only a check)
        .+                #
    )*+                   # close the atomic group and repeat 0 or more times
)                         # close the capture group "value"
(?:\R{1,3}|\z)            # between 1 or 3 newlines max. or the end of the
                          # string (necessary if i want contigous matches)

全局修饰符：

  • x（扩展模式）：以 # 开头的空格和内联注释在模式中被忽略。
  • m（多行模式）：^匹配行的开头和行$的结尾。
于 2013-08-19T17:03:10.820 回答