我有一个脚本,可以根据源目录中文件的标题编译一组日志文件。此脚本从地址表中读取 Lot ID,并使用它来搜索路径目录“dir”并编译目标文件。我需要重新利用此脚本,我希望脚本查看可用文件的文本,以查看 Lot ID 是否显示在那里并进行相应的编译。我在网上看到了一些关于此内容的参考资料,但打开每个文件进行确定的想法似乎可能需要很长时间。欢迎提出好主意。
Names Default To Here( 1 );
Clear Globals();
lst = Column( "lot" ) << Get Values;
n = N Items( lst );
dir = "\\Source_Directory\";
myfiles = {};
files = Files In Directory( dir, Recursive );
n_getfiles = N Items( files );
filteredFiles = {};
While( (testname = Remove From( files, 1 )) != {},
Relevant = Char( Regex( testname[1], "/4(\d{6})R", "4\1" ) );
If( Contains( testname[1], Relevant ),
Insert Into( filteredFiles, testname, 1 );
);
);
Show( filteredFiles );
t_filterfiles = t4 - t3;
n_filterfiles = N Items( filteredFiles );
Show( t_getfiles, n_getfiles, t_filterfiles, n_filterfiles );
Show( filteredFiles );
compiler_function = Function( {lot_number},
Try(
use1 = lot_number;
LotID = Char( use1 );
For( i = 1, i <= N Items( filteredFiles ), i++,
If( Contains( filteredFiles[i], LotID ),
Insert Into( myFiles, filteredFiles[i] ))
);
final_files = myfiles;
)
);
For( l = 1, l <= n, l++, //Show(l);
compiler_function( lst[l] )
);
i = 1;
dtjoin = Open(
dir || myfiles[i],
Import Settings(
End Of Line( CRLF, CR, LF ),
End Of Field( Tab, Comma, CSV( 1 ) ),
Strip Quotes( 1 ),
Use Apostrophe as Quotation Mark( 0 ),
Use Regional Settings( 0 ),
Scan Whole File( 1 ),
Treat empty columns as numeric( 0 ),
CompressNumericColumns( 0 ),
CompressCharacterColumns( 0 ),
CompressAllowListCheck( 0 ),
Labels( 1 ),
Column Names Start( 1 ),
First Named Column( 1 ),
Data Starts( 2 ),
Lines To Read( "All" ),
Year Rule( "20xx" )
);
);
Wait( 0 );
Column( 1 ) << set name( "Column 1" );
dtjoin << set name( "Joined1" );
dtjoin << Add Rows( 1, after( N Rows( dtjoin ) ) );
For( i = N Rows( dtjoin ), i <= N Rows( dtjoin ), i++,
:Column 1[i] = "File 1"
);
i = 2;
For( i = 2, i <= N Items( myfiles ), i++,
dt = Open(
dir || myfiles[i],
Import Settings(
End Of Line( CRLF, CR, LF ),
End Of Field( Tab, Comma, CSV( 1 ) ),
Strip Quotes( 1 ),
Use Apostrophe as Quotation Mark( 0 ),
Use Regional Settings( 0 ),
Scan Whole File( 1 ),
Treat empty columns as numeric( 0 ),
CompressNumericColumns( 0 ),
CompressCharacterColumns( 0 ),
CompressAllowListCheck( 0 ),
Labels( 1 ),
Column Names Start( 1 ),
First Named Column( 1 ),
Data Starts( 2 ),
Lines To Read( "All" ),
Year Rule( "20xx" )
);
);
Column( 1 ) << set name( "Column 1" );
dt << Add Rows( 1, after( N Rows( dt ) ) );
For( j = N Rows( dt ), j <= N Rows( dt ), j++,
:Column 1[j] = ("File " || Char( i ))
);
dtjoin = dtjoin << Concatenate(
dt, output table name( "Joined" || Char( i ) ),
);
Close( dt, nosave );
Close( "Joined" || Char( i - 1 ), nosave );
Wait( 0.1 );
);
dtjoin << set name( " Mask Data" );文件大小约为 25kB,长度为 300-400 行,文件数量可能有所不同,最坏情况可能是 100 个。我考虑的任何事情都必须打开每个文件来确定相关性,我没有写过类似的东西,我可能会在数据到达之前过期。加载文本文件()看起来很有趣,我会对其进行修改。
多文件导入可能会有所帮助,无论是通过导入和堆叠 CSV 还是通过将未处理的文本加载到每个文件的一行中。使用 GUI 进行操作,然后如果您得到喜欢的东西,请保存脚本。如果您可以使用文件时间戳,它也会有所帮助。