How can I allow more file extensions with drupal file uploads? - file-upload

I've got a module that has to let users upload files and everything works as long as the files are in the standard array of allowed extensions. I've tried using file_validate_extensions, but this doesn't seem to change anything.
This is the code I'm using to upload now (the docx extension is added to the standard drupal allowed ones, but it doesn't seem to get picked up):
$fid = $form_state['values']['attachment'];
$file = file_load($fid);
if($file != null){
file_validate_extensions($file, "jpg jpeg gif png txt doc xls pdf ppt pps odt ods odp docx");
$file->status = FILE_STATUS_PERMANENT;
file_save($file);
}

I just looked to this Drupal API, and it seems that you can use the function "file_save_upload" (with $validator as an array of valid extension), this get the file in a temporary state. And then, you have to call "file_save" to make it permanent.

Related

How to access pdf file outside of public_html in joomla site?

Actually i want to edit a module to fetch PDF file outside from public_html.
I already tried to change permission of that file from which i want to fetch PDF to 777.
I am trying to fetch PDF by following codes
$baseurl = JURI::base();
$outside_baseurl = $baseurl.'../pdf/name.pdf';
Shows this error
Cannot access file!
https://mysitedomain.com/../pdf/name.pdf
It's really not safe to access a file outside the scope of your public folder in the open like that. It has the potential to open serious security holes. If you are trying to do this to modify or use the PDF file for something inside PHP, you should be able to. If you are trying to send it to a user for download or preview, you might wanna try fpassthru(). Something like the example below.
<?php
$path = 'path/to/file.pdf';
$public_name = basename($path);
$finfo = finfo_open(FILEINFO_MIME_TYPE);
$mime_type = finfo_file($finfo, $path);
header("Content-Disposition: attachment; filename=$public_name;");
header("Content-Type: $mime_type");
header('Content-Length: ' . filesize($path));
$fop = fopen($path, 'rb');
fpassthru($fop);
exit;
This should serve your purpose.

Open txt file and draw histogram in root

I have a txt file which contains numbers. I want to draw a histogram according to this file in root. But I can't do this.
{
TFile *f = new TFile("myfile.root");
f.ls();
TH1F * h1 = (TH1F*)f.Get("h1");
h1->Draw();
}
Have a look at this tutorial from the ROOT website. As far as I know ROOT can't open a plain text file directly. The TFile("myfile.root") call can be used to open a ROOT file (i.e. a binary file created by ROOT containing persistified ROOT objects such as histograms), which as you point out causes errors if you try to open a plain text file using it. The approach shown in the tutorial page is to create a TH1, then use standard C++ I/O streams to read from your text fiule and fill the histogram in the normal way.

nodejs npm libraries to access and modify microsoft word documents

Do you know if it is possible to search specific text like "xAx" into a Microsoft Word file (.doc or .docx) hosted on a website, replace it with some other text input by the user and make the file available for download using nodejs?
Is there a npm library that can do that?
If not it is possible to manipulate a PDF file instead? Please note that I do not want to create the document but manipulate a template file in the server.
Thank you for your help.
There is project https://github.com/open-xml-templating/docxtemplater which serves for replacing {placeholders} in a .docx files.
Also supports loops and images, check out demo (examples) on http://javascript-ninja.fr/docxtemplater/v1/examples/demo.html
If odt is an option (these files are open directly by MS Word besides Open and Libre Office and can be set with extension .doc so end users do not freak out) you can use HTML52PDF.
For example something like the following code will replace a string of text by a link:
require_once 'path/to/CreateDocument.inc';
$doc = new Html52pdf\createDocument(array('template' => 'template.odt'));
$format = '.odt';//.pdf, .doc, .docx, .odt, .rtf
//replace natural text
$doc->replace(array('replace me, please' => array('value' => 'external link')), array('format' => array('','')));
$doc->render('replaced_content' . $format);

Batch OCR Program for PDFs [closed]

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This has been asked before, but I don't really know if the answers help me. Here is my problem: I got a bunch of (10,000 or so) pdf files. Some were text files that were saved using adobe's print feature (so their text is perfect and I don't want to risk screwing them up). And some were scanned images (so they don't have any text and I will have to settle for OCR). The files are in the same directory and I can't tell which is which. Ultimately I want to turn them into .txt files and then do string processing on them. So I want the most accurate OCR possible.
It seems like people have recommended:
adobe pdf (I don't have a licensed copy of this so ... plus if ABBYY finereader or something is better, why pay for it if I won't use it)
ocropus (I can't figure out how to use this thing),
Tesseract (which seems like it was great in 1995 but I'm not sure if there's something more accurate plus it doesn't do pdfs natively and I've have to convert to TIFF. that raises its own problem as I don't have a licensed copy of acrobat so I don't know how I'd convert 10,000 files to tiff. plus i don't want 10,000 30 page documents turned into 30,000 individual tiff images).
wowocr
pdftextstream (that was from 2009)
ABBYY FineReader (apparently its' $$$, but I will spend $600 to get this done if this thing is significantly better, i.e. has more accurate ocr).
Also I am a n00b to programming so if it's going to take like weeks to learn how to do something, I would rather pay the $$$. Thx for input/experiences.
BTW, I'm running Linux Mint 11 64 bit and/or windows 7 64 bit.
Here are the other threads:
Batch OCRing PDFs that haven't already been OCR'd
Open source OCR
PDF Text Extraction Approach Using OCR
https://superuser.com/questions/107678/batch-ocr-for-many-pdf-files-not-already-ocred
Just to put some of your misconceptions straight...
" I don't have a licensed copy of acrobat so I don't know how I'd convert 10,000 files to tiff."
You can convert PDFs to TIFF with the help of Free (as in liberty) and free (as in beer) Ghostscript. Your choice if you want to do it on Linux Mint or on Windows 7. The commandline for Linux is:
gs \
-o input.tif \
-sDEVICE=tiffg4 \
input.pdf
"i don't want 10,000 30 page documents turned into 30,000 individual tiff images"
You can have "multipage" TIFFs easily. Above command does create such TIFFs of the G4 (fax tiff) flavor. Should you even want single-page TIFFs instead, you can modify the command:
gs \
-o input_page_%03d.tif \
-sDEVICE=tiffg4 \
input.pdf
The %03d part of the output filename will automatically translate into a series of 001, 002, 003 etc.
Caveats:
The default resolution for the tiffg4 output device is 204x196 dpi. You probably want a better value. To get 720 dpi you should add -r720x720 to the commandline.
Also, if your Ghostscript installation uses letter as its default media size, you may want to change it. You can use -gXxY to set widthxheight in device points. So to get ISO A4 output page dimensions in landscape you can add a -g8420x5950 parameter.
So the full command which controls these two parameters, to produce 720 dpi output on A4 in portrait orientation, would read:
gs \
-o input.tif \
-sDEVICE=tiffg4 \
-r720x720 \
-g5950x8420 \
input.pdf
Figured I would try to contribute by answering my own question (have written some nice code for myself and could not have done it without help from this board). If you cat the pdf files in unix (well, osx for me), then the pdf files that have text will have the word "Font" in them (as a string, but mixed in with other text) b/c that's how the file tells Adobe what fonts to do display.
The cat command in bash seems to have the same output as reading the file in binary mode in python (using 'rb' mode when opening file instead of 'w' or 'r' or 'a'). So I'm assuming that all pdf files that contain text with have the word "Font" in the binary output and that no image-only files ever will. If that's always true, then this code will make a list of all pdf files in a single directory that have text and a separate list of those that have only images. It saves each list to a separate .txt file, then you can use a command in bash to move the pdf files to the appropriate folder.
Once you have them in their own folders, then you can run your batch ocr solution on just the pdf files in the images_only folder. I haven't gotten that far yet (obviously).
import os, re
#path is the directory with the files, other 2 are the names of the files you will store your lists in
path = 'C:/folder_with_pdfs'
files_with_text = open('files_with_text.txt', 'a')
image_only_files = open('image_only_files.txt', 'a')
#have os make a list of all files in that dir for a loop
filelist = os.listdir(path)
#compile regular expression that matches "Font"
mysearch = re.compile(r'.*Font.*', re.DOTALL)
#loop over all files in the directory, open them in binary ('rb'), search that binary for "Font"
#if they have "Font" they have text, if not they don't
#(pdf does something to understand the Font type and uses this word every time the pdf contains text)
for pdf in filelist:
openable_file = os.path.join(path, pdf)
cat_file = open(openable_file, 'rb')
usable_cat_file = cat_file.read()
#print usable_cat_file
if mysearch.match(usable_cat_file):
files_with_text.write(pdf + '\n')
else:
image_only_files.write(pdf + '\n')
To move the files, I entered this command in bash shell:
cat files_with_text.txt | while read i; do mv $i Volumes/hard_drive_name/new_destination_directory_name; done
Also, I didn't re-run the python code above, I just hand-edited the thing, so it might be buggy, Idk.
This is an interesting problem. If you are willing to work on Windows in .NET, you can do this with dotImage (disclaimer, I work for Atalasoft and wrote most of the OCR engine code). Let's break the problem down into pieces - the first is iterating over all your PDFs:
string[] candidatePDFs = Directory.GetFiles(sourceDirectory, "*.pdf");
PdfDecoder decoder = new PdfDecoder();
foreach (string path in candidatePDFs) {
using (FileStream stm = new FileStream(path, FileMode.Open)) {
if (decoder.IsValidFormat(stm)) {
ProcessPdf(path, stm);
}
}
}
This gets a list of all files that end in .pdf and if the file is a valid pdf, calls a routine to process it:
public void ProcessPdf(string path, Stream stm)
{
using (Document doc = new Document(stm)) {
int i=0;
foreach (Page p in doc.Pages) {
if (p.SingleImageOnly) {
ProcessWithOcr(path, stm, i);
}
else {
ProcessWithTextExtract(path, stm, i);
}
i++;
}
}
}
This opens the file as a Document object and asks if each page is image only. If so it will OCR the page, else it will text extract:
public void ProcessWithOcr(string path, Stream pdfStm, int page)
{
using (Stream textStream = GetTextStream(path, page)) {
PdfDecoder decoder = new PdfDecoder();
using (AtalaImage image = decoder.Read(pdfStm, page)) {
ImageCollection coll = new ImageCollection();
coll.Add(image);
ImageCollectionImageSource source = new ImageCollectionImageSource(coll);
OcrEngine engine = GetOcrEngine();
engine.Initialize();
engine.Translate(source, "text/plain", textStream);
engine.Shutdown();
}
}
}
what this does is rasterizes the PDF page into an image and puts it into a form that is palatable for engine.Translate. This doesn't strictly need to be done this way - one could get an OcrPage object from the engine from an AtalaImage by calling Recognize, but then it would be up to client code to loop over the structure and write out the text.
You'll note that I've left out GetOcrEngine() - we make available 4 OCR engines for client use: Tesseract, GlyphReader, RecoStar, and Iris. You would select the one that would be best for your needs.
Finally, you would need the code to extract text from the pages that already have perfectly good text on them:
public void ProcessWithTextExtract(string path, Stream pdfStream, int page)
{
using (Stream textStream = GetTextStream(path, page)) {
StreamWriter writer = new StreamWriter(textStream);
using (PdfTextDocument doc = new PdfTextDocument(pdfStream)) {
PdfTextPage page = doc.GetPage(i);
writer.Write(page.GetText(0, page.CharCount));
}
}
}
This extracts the text from the given page and writes it to the output stream.
Finally, you need GetTextStream():
public Stream GetTextStream(string sourcePath, int pageNo)
{
string dir = Path.GetDirectoryName(sourcePath);
string fname = Path.GetFileNameWithoutExtension(sourcePath);
string finalPath = Path.Combine(dir, String.Format("{0}p{1}.txt", fname, pageNo));
return new FileStream(finalPath, FileMode.Create);
}
Will this be a 100% solution? No. Certainly not. You could imagine PDF pages that contain a single image with a box draw around it - this would clearly fail the image only test but return no useful text. Probably, a better approach is to just use the extracted text and if that doesn't return anything, then try an OCR engine. Changing from one approach to the other is a matter of writing a different predicate.
The simplest approach would be to use a single tool such a ABBYY FineReader, Omnipage etc to process the images in one batch without having to sort them out into scanned vs not scanned images. I believe FineReader converts the PDF's to images before performing OCR anyway.
Using an OCR engine will give you features such as automatic deskew, page orientation detection, image thresholding, despeckling etc. These are features you would have to buy an image processng library for and program yourself and it could prove difficult to find an optimal set of parameters for your 10,000 PDF's.
Using the automatic OCR approach will have other side effects depending on the input images and you would find you would get better results if you sorted the images and set optimal parameters for each type of images. For accuracy it would be much better to use a proper PDF text extraction routine to extract the PDF's that have perfect text.
At the end of the day it will come down to time and money versus the quality of the results that you need. At the end of the day, a commercial OCR program will be the quickest and easiest solution. If you have clean text only documents then a cheap OCR program will work as well as an expensive solution. The more complex your documents, the more money you will need to spend to process them.
I would try finding some demo / trial versions of commercial OCR engines and just see how they perform on your different document types before spending too much time and money.
I have written a small wrapper for Abbyy OCR4LINUX CLI engine (IMHO, doesn't cost that much) and Tesseract 3.
The wrapper can batch convert files like:
$ pmocr.sh --batch --target=pdf --skip-txt-pdf /some/directory
The script uses pdffonts to determine if a PDF file has already been OCRed to skip them. Also, the script can work as system service to monitor a directory and launch an OCR action as soon as a file enters the directory.
Script can be found here:
https://github.com/deajan/pmOCR
Hopefully, this helps someone.

How to do mail merge on top of a PDF?

I often get a PDF from our designer (built in Adobe InDesign) which is supposed to be sent out to thousands of people.
I've got the list with all the people, and it's easy doing a mail merge in OpenOffice.org. However, OpenOffice.org doesn't support the advanced PDF. I just want to output some text onto each page and print it out.
Here's how I do it now: print out 6.000 copies of the PDF, then put all of them into the printer again and just print out name, address and other information on top of it. But that's expensive.
Sadly, I can't make the PDF to an image and use that in OpenOffice.org because it grinds the computer to a halt. It also takes extremely long time to send this job to the printer.
So, is there an easy way to do this mail merge (preferably in Python) without paying for third party closed solutions?
Now I've made an account. I fixed it by using the ingenious pdftk.
In my quest I totally overlook the feature "background" and "overlay". My solution was this:
pdftk names.pdf background boat_background.pdf output out.pdf
Creating the names.pdf you can easily do with Python reportlab or similar PDF-creation scripts. It's best using code to do that, creating 6k pages took several hours in LibreOffice/OpenOffice, while it took just a few seconds using Python.
You could probably look at a PDF library like iText. If you have some programming knowledge and a bit of time you could write some code that adds the contact information to the PDFs
There are two much simpler and cheaper solutions.
First, you can do your mail merge directly in InDesign using DataMerge. This is a utility added to InDesign way back in CS. You export or save your names in CSV format. Import the data into an InDesign template and then drop in your name, address and such fields in the layout. Press Go. It will create a new document with all the finished letters or you can go right to the printer.
OR, you can export your data to an XML file and create a dynamic layout using XML placeholders in InDesign.
The book A Designer's Guide to Adobe InDesign and XML will teach you how to do this, or you can check out the Lynda.com videos for Dynamic workflows with InDesign and XML.
Very easy to do.
If you want to create separate PDFs files for the mail merge, you can run out one long PDF with all the names in one file then do an Extract to Separate PDF files in Acrobat Pro itself.
If you cannot get the template in another format than PDF a simple ad-hoc solution would be to
convert the PDF into an image
put the image in the backgroud of your (OpenOffice.org) document
position mail merge fields on top of the image
do the mail merge and print
Probably the best way would be to generate another PDF with the missing text, and overlay one PDF over the other. A quick Google found this link showing how to do it in Acrobat, and I'm sure there are other methods as well.
http://forums.macrumors.com/showthread.php?t=508226
For a no-mess, no-fuss solution, use iText to simply add the text to the pdf. For example, you can do the following to add text to a pdf document once loaded:
PdfContentByte cb= ...;
cb.BeginText();
cb.SetFontAndSize(font, fontSize);
float x = ...;
float y = ...;
cb.SetTextMatrix(x, y);
cb.ShowText(fieldValue);
cb.EndText();
From there on, save it as a different file, and print it.
However, I've found that form fields are the way to go with pdf document generation from templates.
If you have a template with form fields (added with Adobe Acrobat), you have one of two choices :
Create a FDF file, which is essentially a list of values for the fields on the form. A FDF is a simple text document which references the original document so that when you open up the PDF, the document loads with the field values supplied by the FDF.
Alternatively, load the template with with a library like iText / iTextSharp, fill the form fields manually, and save it as a seperate pdf.
A sample FDF file looks like this (stolen from Planet PDF) :
%FDF-1.2
%âãÏÓ
1 0 obj
<<<
/F(Example PDF Form.pdf)
/Fields[
<<
/T(myTextField)
/V(myTextField default value)
>>
]
>>
>> endobj trailer
<>
%%EOF
Because of the simple format and the small size of the FDF, this is the preferred approach, and the approach should work well in any language.
As for filling the fields programmatically, you can use iText in the following way :
PdfAcroForm acroForm = writer.AcroForm;
acroForm.Put(new PdfName(fieldInfo.Name), new PdfString(fieldInfo.Value));
What about using a variable data program such as - XMPie for Adobe Indesign. It's a plug-in that should reference to your list of people (think it might have to be a list in Excel though).
One easy way would be to create a fillable pdf form from the original document in Acrobat and do a mail merge with the form and a csv.
PDF mail merges are relatively easy to do in python and pdftk. Fdfgen (pip install fdfgen) is a python library that will create an fdf from a python array, so you can save the excel grid to a csv, make sure that the csv headers match the name of the pdf form field you want to fill with that column, and do something like
import csv
import subprocess
from fdfgen import forge_fdf
PDF_FORM = 'path/to/form.pdf'
CSV_DATA = 'path/to/data.csv'
infile = open(CSV_DATA, 'rb')
reader = csv.DictReader(infile)
rows = [row for row in reader]
infile.close()
for row in rows:
# Create fdf
filename = row['filename'] # Construct filename
fdf_data = [(k,v) for k, v in row.items()]
fdf = forge_fdf(fdf_data_strings=fdf_data)
fdf_file = open(filename+'.fdf', 'wb')
fdf_file.write(fdf)
fdf_file.close()
# Use PDFTK to create filled, flattened, pdf file
cmds = ['pdftk', PDF_FORM, 'fill_form', filename+'.fdf',
'output', filename+'.pdf', 'flatten', 'dont_ask']
process = subprocess.Popen(cmds, stdout=subprocess.PIPE)
stdout, stderr = process.communicate()
returncode = process.poll()
os.remove(filename+'.fdf')
I've encountered this problem enough to write my own free solution, PdfZero. PdfZero has a mail merge feature to merge spreadsheets with PDF forms. You will still need to create a PDF form, but you can upload the form and csv to pdfzero, select which form fields you want filled with which columns, create a naming convention for each filled pdf using the csv data if needed, and batch generate the filled PDfs.
DISCLAIMER: I wrote PdfZero
Someone asked for specifics. I didn't want to sully my top answer with it, because you can do it how you like (and just knowing pdftk is up to it should give people the idea).
But here's some scripts I used ages ago:
csv_to_pdf.py
#!/usr/bin/python
# This makes one PDF page per name in the CSV file
# csv_to_pdf.py <CSV_FILE>
import csv
import sys
from reportlab.pdfgen.canvas import Canvas
from reportlab.lib.units import cm, mm
in_db = csv.reader(open(sys.argv[1], "rb"));
outname = sys.argv[1].replace("csv", "pdf")
pdf = Canvas(outname)
in_db.next()
i = 0
for rad in in_db:
pdf.setFontSize(11)
adr = rad[1]
tekst = pdf.beginText(2*cm, 26*cm)
for a in adr.split('\n'):
if not a.strip():
continue
if a[-1] == ',':
a = a[:-1]
tekst.textLine(a)
pdf.drawText(tekst)
pdf.showPage()
i += 1
if i % 1000 == 0:
print i
pdf.save()
When you've ran this, you have a file with thousands of pages, only with a name on it. This is when you can background the fancy PDF under all of them:
pdftk <YOUR_NEW_PDF_FILE.pdf> background <DESIGNED_FILE.pdf> <MERGED.pdf>
You can use InDesign's data merge function, or you can do what you've been doing with printing a portion of the job, and then printing the mail merge atop that with Word or Open Office.
But also look into finding a company that can do variable data offset printing or dynamic publishing. Might be a little more expensive up front but can save a bundle when it comes to time, testing, even packaging and mailing.
Disclaimer: I'm the author of this tool.
I ran into this issue enough times that I built a free online tool for it: https://pdfbatchfill.com/
It assumes a PDF form as a template and uses that along with CSV form data to generate a single PDF or individual PDFs in a zip file.