I already did a lot of research and realized that clear information about "How to generate PDF/A-1a" or "...convert to PDF/A-1a" is really rare. I found some information to convert to PDF/A-1a via GhostScript, but I didn't make it to get it working. So, maybe there are some necessary conditions for the data missing in the first place. Conditions like propper metadata of the PDF, structured data for readability by a screen reader, alternative text for pictures, and a declaration of the given language of the text. I need a proper working GhostScript command with the corresponding gs version and the mandatory file conditions to generate or even convert to PDF/A-1a. PDF/A-1b means nothing to me because I'm already able to convert to that.
Thanks for any help.
Related
I have an XML file produced with Gnumeric that contains images, stored as GOPixbuf strings inside XML. They look like this:
eXyA/4KEiP9xcnf/f3+E/3l5ff9xb3L/jo2Q/29wdP+ [truncated]
For each string I have width and height, and a rowstride parameter, like in this example:
<GOImage name="Image(70)" type="GOPixbuf" width="151" height="135" rowstride="604">
Is there a reasonable way to convert that to an image - any format will do?
I'm conversant with perl and image conversion tools (imagemagick, gimp) but I have not found any documentation by googling beyond GTK or GOffice docs.
You have already found stuff that is helpful. But since there are no Perl bindings for this on CPAN, you would have to make your own if you want to use Perl.
Fortunately, you don't have to know XS to do that. You can use FFI::Platypus to create temporary bindings and only map what you need.
The docs you have probably already found have a Getting started with GOffice section. After a quick check I found that on my recent Ubuntu there is a package that contains that lib. It is called libgoffice-0.10-dev.
Now you can set that up and play around with the lib functions. Somewhere in https://developer.gnome.org/goffice/unstable/GOImage.html there probably is a method to read and convert it.
One of the good ones might be go-image-get-pixbuf, which returns a GdkPixbuf. That in turn has a very extensive documentation. Maybe what you need might be in this one.
Good luck.
I have 10000 images. I want to convert them to a format like 'train-images-idx3-ubyte'. This format comes from here. I want them to use the deep learning methods described here
I appreciate any help
Take a look at how these files are loaded here.
The use of numpy.fromfile indicates that the data are simply saved as raw bytes of a specific dtype. You can achieve this using numpy.tofile.
However, make sure that this is really what you want to do. If you want to use certain networks on other images, these images will likely need to be of exactly the same size. It is worth digging further into the tutorials - after a while the transposition to other datasets will become easier.
I am processing some CDRs (call detailed record). I dont know which exactly the file it is? But i supposed this to be 'ASN.1' format BER encoded files. Now my problem is that I want to modify some data in this files but I dont know which Editor or decorder I can use to modify this files. I searched a lot and found many ASN.1 Decorder as well as ASN.1 BSR viewer/editor but no one allows what i want to perform.
This CDR is supposed to contain Customer detail, phone number, telecom services(telephony, SMS, MMS) etc.
One of CDR name is - GGSN01_20120105000102_56641-09-12-01-09%3A30
and file type is - File
No other information is available. When I am opening this file in some text editor it show some rectangles and some text data.
Any telecom guy can definite help me. I am new to telecom domain.
Please ask if you need more information. Thanks
You would need to know something about ASN.1 and BER to be able to correctly edit your file. BER is a binary format, not ASCII text, thus what you see in your text editor. Even modifying any embedded plain text is only safe if you are not changing the length of the string; BER uses nested structures that encode lengths and so a change in the length of a string value requires adjustments to the encoded lengths of the enclosing structures. Additionally, in order to really know what your data is, you would need to know the ASN.1 that describes it (defines the types that describe your encoded data).
You could use a tool such as ASN.1 editor, but without the requisite background knowledge, I think it will not be very helpful to you. You can follow various links on this resources page to get more information about ASN.1. (full disclosure: I am currently an Obj-Sys employee).
Look for tools like enber and unber, they come as debugging tools with the fee asn.1-compiler of Lev Walkin. At least you get text-format from them.
The systemic solution is, of course to write a program that reads the BER-file, applies the schnages and then writes out the altered BER-file. To do so you need the ASN.1-Specification file of your CDR-Format (usually to be found in the specifications of the standard e.g. IMS, you are using) an asn1-compiler such as Lev's and some programming skills.
I have a very large PDF File (200,000 KB or more) which contains a series of pages containing nothing but tables. I'd like to somehow parse this information using Ruby, and import the resultant data into a MySQL database.
Does anyone know of any methods for pulling this data out of the PDF? The data is formatted in the following manner:
Name | Address | Cash Reported | Year Reported | Holder Name
Sometimes the Name field overflows into the address field, in which case the remaining columns are displayed on the following line.
Due to the irregular format, I've been stuck on figuring this out. At the very least, could anyone point me to a Ruby PDF library for this task?
UPDATE: I accidentally provided incorrect information! The actual size of the file is 300 MB, or 300,000 KB. I made the change above to reflect this.
I assume you can copy'n'paste text snippets without problems when your PDF is opened in Acrobat Reader or some other PDF Viewer?
Before trying to parse and extract text from such monster files programmatically (even if it's 200 MByte only -- for simple text in tables that's huuuuge, unless you have 200000 pages...), I would proceed like this:
Try to sanitize the file first by re-distilling it.
Try with different CLI tools to extract the text into a .txt file.
This is a matter of minutes. Writing a Ruby program to do this certainly is a matter of hours, days or weeks (depending on your knowledge about the PDF fileformat internals... I suspect you don't have much experience of that yet).
If "2." works, you may halfway be done already. If it works, you also know that doing it programmatically with Ruby is a job that can in principle be solved. If "2." doesn't work, you know it may be extremely hard to achieve programmatically.
Sanitize the 'Monster.pdf':
I suggest to use Ghostscript. You can also use Adobe Acrobat Distiller if you have access to it.
gswin32c.exe ^
-o Monster-PDF-sanitized ^
-sDEVICE=pdfwrite ^
-f Monster.pdf
(I'm curious how much that single command will make your output PDF shrink if compared to the input.)
Extract text from PDF:
I suggest to first try pdftotext.exe (from the XPDF folks). There are other, a bit more inconvenient methods available too, but this might do the job already:
pdftotext.exe ^
-f 1 ^
-l 10 ^
-layout ^
-eol dos ^
-enc Latin1 ^
-nopgbrk ^
Monster-PDF-sanitized.pdf ^
first-10-pages-from-Monster-PDF-sanitized.txt
This will not extract all pages but only 1-10 (for proof of concept, to see if it works at all). To extract from every page, just leave off the -f 1 -l 10 parameter. You may need to tweak the encoding by changing the parameter to -enc ASCII7 (or UTF-8, UCS-2).
If this doesn't work the quick'n'easy way (because, as sometimes happens, some font in the original PDF uses "custom encoding vector") you should ask a new question, describing the details of your findings so far. Then you need to resort bigger calibres to shoot down the problem.
At the very least, could anyone point
me to a Ruby PDF library for this
task?
If you haven't done so, you should check out the two previous questions: "Ruby: Reading PDF files," and "ruby pdf parsing gem/library." PDF::Reader, PDF::Toolkit, and Docsplit are some of the relatively popular suggested libraries. There is even a suggestion of using JRuby and some Java PDF library parser.
I'm not sure if any of these solutions is actually suitable for your problem, especially that you are dealing with such huge PDF files. So unless someone offers a more informative answer, perhaps you should select a library or two and take them for a test drive.
This will be a difficult task, as rendered PDFs have no concept of tabular layout, just lines and text in predetermined locations. It may not be possible to determine what are rows and what are columns, but it may depend on the PDF itself.
The java libraries are the most robust, and may do more than just extract text. So I would look into JRuby and iText or PDFbox.
Check whether there is any structured content in the PDF. I wrote a blog article explaining this at http://www.jpedal.org/PDFblog/?p=410
If not, you will need to build it.
Maybe the Prawn ruby library? link text
Is there a standard or open format which can be used to describe the formating of a flat file. My company integrates many different customer file formats. With an XML file it's easy to get or create an XSD to describe the XML file format. I'm looking for something similar to describe a flat file format (fixed width, delimited etc). Stylus Studio uses a proprietary .conv format to do this. That .conv format can be used at runtime to transform an arbitrary flat file to an XML file. I was just wondering if there was any more open or standards based method for doing the same thing.
I'm looking for one method of describing a variety of flat file formats whether they are fixed width or delimited, so CSV is not an answer to this question.
XFlat:
http://www.infoloom.com/gcaconfs/WEB/philadelphia99/lyons.HTM#N29
http://www.unidex.com/overview.htm
For complex cases (e.g. log files) you may consider a lexical parser.
About selecting existing flat file formats: There is the Comma-separated values (CSV) format. Or, more generally, DSV. But these are not "fixed-width", since there's a delimiter character (such as a comma) that separates individual cells. Note that though CSV is standardized, not everybody adheres to the standard. Also, CSV may be to simple for your purposes, since it doesn't allow a rich document structure.
In that respect, the standardized and only slightly more complex (but thus more useful) formats JSON and YAML are a better choice. Both are supported out of the box by plenty of languages.
Your best bet is to have a look at all languages listed as non-binary in this overview and then determine which works best for you.
About describing flat file formats: This could be very easy or difficult, depending on the format. Though in most cases easier solutions exist, one way that will work in general is to view the file format as a formal grammar, and write a lexer/parser for it. But I admit, that's quite† heavy machinery.
If you're lucky, a couple of advanced regular expressions may do the trick. Most formats will not lend themselves for that however.‡ If you plan on writing a lexer/parser yourself, I can advise PLY (Python Lex-Yacc). But many other solutions exists, in many different languages, a lot of them more convenient than the old-school Lex & Yacc. For more, see What parser generator do you recommend?
†: Yes, that may be an understatement.
‡: Even properly describing the email address format is not trivial.
COBOL (whether you like it or not) has a standard format for describing fixed-width record formats in files.
Other file formats, however, are somewhat simpler to describe. A CSV file, for example, is just a list of strings. Often the first row of a CSV file is the column names -- that's the description.
There are examples of using JSON to formulate metadata for text files. This can be applied to JSON files, CSV files and fixed-format files.
Look at http://www.projectzero.org/sMash/1.1.x/docs/zero.devguide.doc/zero.resource/declaration.html
This is IBM's sMash (Project Zero) using JSON to encode metadata. You can easily apply this to flat files.
At the end of the day, you will probably have to define your own file standard that caters specifically to your storage needs. What I suggest is using xml, YAML or JSON as your internal container for all of the file types you receive. On top of this, you will have to implement some extra validation logic to maintain meta-data such as the column sizes of the fixed width files (for importing from and exporting to fixed width). Alternatively, you can store or link a set of metadata to each file you convert to the internal format.
There may be a standard out there, but it's too hard to create 'one size fits all' solutions for these problems. There are entity relationship management tools out there (Talend, others) that make creating these mappings easier, but you will still need to spend a lot of time maintaining file format definitions and rules.
As for enforcing column width, xml might be the best solution as you can describe the formats using xml schemas (with the length restriction). For YAML or JSON, you may have to write your own logic for this, although I'm sure someone else has come up with a solution.
See XML vs comma delimited text files for further reference.
I don't know if there is any standard or open format to describe a flat file format. But one industry has done this: the banking industry. Financial institutions are indeed communicating using standardized message over a dedicated network called SWIFT. SWIFT messages were originally positional (before SWIFTML, the XMLified version). I don't know if it's a good suggestion as it's kinda obscure but maybe you could look at the SWIFT Formatting Guide, it may gives you some ideas.
Having that said, check out Flatworm, an humble flat file parser. I've used it to parse positional and/or CSV file and liked its XML descriptor format. It may be a better suggestion than SWIFT :)
CSV
CSV is a delimited data format that has fields/columns separated by the comma character and records/rows separated by newlines. Fields that contain a special character (comma, newline, or double quote), must be enclosed in double quotes. However, if a line contains a single entry which is the empty string, it may be enclosed in double quotes. If a field's value contains a double quote character it is escaped by placing another double quote character next to it. The CSV file format does not require a specific character encoding, byte order, or line terminator format.
The CSV entry on wikipedia allowed me to find a comparison of data serialization formats that is pretty much what you asked for.
The only similar thing I know of is Hachoir, which can currently parse 70 file formats:
http://bitbucket.org/haypo/hachoir/wiki/Home
I'm not sure if it really counts as a declarative language, since it's plugin parser based, but it seems to work, and is extensible, which may meet your needs just fine.
As an aside, there are interesting standardised, extensible flat-file FORMATS, such as IFF (Interchange File Format).