I want to export the MediaWiki markup for a number of articles (but not all articles) from a local MediaWiki installation. I want just the current article markup, not the history or anything else, with an individual text file for each article. I want to perform this export programatically and ideally on the MediaWiki server, not remotely.
For example, if I am interested in the Apple, Banana and Cupcake articles I want to be able to:
article_list = ["Apple", "Banana", "Cupcake"]
for a in article_list:
get_article(a, a + ".txt")
My intention is to:
extract required articles
store MediaWiki markup in individual text files
parse and process in a separate program
Is this already possible with MediaWiki? It doesn't look like it. It also doesn't look like Pywikipediabot has such a script.
A fallback would be to be able to do this manually (using the Export special page) and easily parse the output into text files. Are there existing tools to do this? Is there a description of the MediaWiki XML dump format? (I couldn't find one.)
On the server side, you can just export from the database. Remotely, Pywikipediabot has a script called get.py which gets the wikicode of a given article. It is also pretty simple to do manually, somehow like this (writing this from memory, errors might occur):
import wikipedia as pywikibot
site = pywikibot.getSite() # assumes you have a user-config.py with default site/user
article_list = ["Apple", "Banana", "Cupcake"]
for title in article_list:
page = pywikibot.Page(title, site)
text = page.get() # handling of not found etc. exceptions omitted
file = open(title + ".txt", "wt")
file.write(text)
Since MediaWiki's language is not well-defined, the only reliable way to parse/process it is through MediaWiki itself; there is no support for that in Pywikipediabot, and the few tools which try to do it fail with complex templates.
It looks like getText.php is a builtin server-side maintenance script for exporting the wikitext of a specific article. (Easier than querying the database.)
Found it via Publishing from MediaWiki which covers all angles on exporting from MediaWiki.
Related
I'm trying to access to my iCloud Notes with a python script using pyiCloud framework, but when I try to list the notes it seems that Documents folder is empty. Does anyone know how I should make that?
>>> api.files['com~apple~Notes']['Documents'].dir() It returns:
>>> []
It sounds like you have an authentication problem that you can't get access to your Notes from the file storage (the UbiquityService). This issue might give you some more clues.
On the other note (!), I found the following a better way to get my Notes exported. I have tried a couple of ways mentioned around the web. Although there is no in-app solution to export Notes in a format other than PDF files, I have stumbled upon the following two solutions:
Export in Markdown (or in other formats in the paid version) via the Bear app. I found this way easier and of more quality in terms of keeping the formatting, attachments, etc:
Download the Bear migration Workflow script from here and follow the instructions.
[optional] At this point, you have the HTML files with inline encoded images. Use my script to decode images to get regular HTML files with the images in an accompanying directory.
Install Bear and import the exported files from Notes.
Export the files as Markdown, HTML, or whatever format you desire from File -> Export Notes within the Bear app. Don't forget to check the "Export attachments" box in the export dialog.
Export in HTML (and then convert to Markdown if you want) via the Notes Exporter app. The app gives you HTML files with inline encoded Base64 images saved with .txt extension (?!). Although I personally like this way as it generates output files that mimic closely the original Notes, the hyperlinks are missing in the exported files (it still keeps the hyperlink coloring though):
Download Notes Exporter from here.
Export Notes to the path you choose.
[optional] Rename file extensions to .html.
Voilà, now you have your Notes as HTML files with the same formatting and images.
Decode inline Base64 images and save HTML files with images saved in a separate adjacent directory using the script that I wrote for this:
https://gist.github.com/SHi-ON/945ea2272ea4bb29e13bd0305370da90
Hope this helps to give you an idea!
Project Environment
The environment we are currently developing is using Windows 10. nodejs 10.16.0, express web framework. The actual environment being deployed is the Linux Ubuntu server and the rest is the same.
What technology do you want to implement?
The technology that I want to implement is the information that I entered when I joined the membership. For example, I want to automatically put it in the input text box using my name, age, address, phone number, etc. so that the user only needs to fill in the remaining information in the PDF. (PDF is on some of the webpages.)
If all the information is entered, the PDF is saved and the document is sent to another vendor, which is the end.
Current Problems
We looked at about four days for PDFs, and we tried to create PDFs when we implemented the outline, structure, and code, just like it was on this site at https://web.archive.org/web/20141010035745/http://gnupdf.org/Introduction_to_PDF
However, most PDFs seem to be compressed into flatDecode rather than this simple. So I also looked at Data extraction from /Filter /FlateDecode PDF stream in PHP and tried to decompress it using QPDF.
Unzip it for now.Well, I thought it would be easy to find out the difference compared to the PDF without Kim after putting it in the first name.
However, there is too much difference even though only three characters are added... And the PDF structure itself is more difficult and complex to proceed with.
Note : https://www.adobe.com/content/dam/acom/en/devnet/pdf/pdfs/PDF32000_2008.pdf (PDF official document in English)
Is there a way to solve the problem now?
It sounds like you want to create a PDF from scratch and possibly extract data from it and you are finding this a more difficult prospect than you first imagined.
Check out my answer here on why PDF creation and reading is non-trivial and why you should reach for a tool you help you do this:
https://stackoverflow.com/a/53357682/1669243
i am trying to create a crawler that can read a pdf and extract certain information from it (to save in a database).
However, i am unsure which method / Tool to use.
My initial thought was to use PhantomJs but after reading a lot it doesn't seem that it has the capabilities. if I wanted to use Phantomjs I would have to download the pdf, convert it into an HTML page and then afterwards crawl it using Phantom which seems like a tedious task that should be able to be done faster.
So my question is, how can I read a pdf from an online source and gather these pieces of information?
If you are not limited in terms of programming language, consider using iText.
It can easily extract all the text from a given PDF document. It also offer utility methods to look for regular expressions within a file, giving you back the exact location (coordinates) and the matching text.
iText is available both for c# and java lovers.
File inputFile = new File("");
PdfDocument pdfDocument = new PdfDocument(new PdfReader(inputFile));
String content = PdfTextExtractor.getTextFromPage(pdfDocument.getPage(1));
Have a look at the website to learn more.
http://developers.itextpdf.com/content/itext-7-examples/itext-7-content-extraction-and-redaction
I am new to this topic, but my requirement is to parse documents of different types(Html, pdf,txt) using a crawlers. please suggest me what crawler to use for my requirement and provide me some tutorial s or some example how to parse the document using crawlers.
Thankyou.
This is a very broad question, so my answer is also very broad and only touches the surface.
It all comes down to two steps, (1) extracting the data from its source, and (2) matching and parsing the relevant data.
1a. Extracting data from the web
There are many ways to scrape data from the web. Different strategies can be used depending if the source is static or dynamic.
If the data is on static pages, you can download the HTML source for all the pages (automated, not manually) and then extract the data out of the HTML source. Downloading the HTML source can be done with many different tools (in many different languages), even a simple wget or curl will do.
If the data is on a dynamic page (for example, if the data is behind some forms that you need to do a database query to view it) then a good strategy is to use an automated web scraping or testing tool. There are many of these.
See this list of Automated Data Collection resources [1]. If you use such a tool, you can extract the data right away, you usually don't have the intermediate step of explicitly saving the HTML source to disk and then parsing it afterwards.
1b. Extracting data from PDF
Try Tabula first. It's an open source web application that lets you visually extract tabular data from PDFs.
If your PDF doesn't have its data neatly structured in simple tables or you have way too much data for Tabula to be feasible, then I recommend using the *NIX command-line tool pdftotext for converting Portable Document Format (PDF) files to plain text.
Use the command man pdftotext to see the manual page for the tool. One useful option is the -layout option which tries to preserve the original layout in the text output. The default option is to "undo" the physical layout of the document, and instead output the text in reading order.
1c. Extracting data from spreadsheet
Try xls2text for converting to text.
2. Parsing the (HTML/text) data
For parsing the data, there are also many options. For example, you can use a combination of grep and sed, or the BeautifulSoup Python library` if you're dealing with HTML source, but don't limit yourself to these options, you can use a language or tool that you're familiar with.
When you're parsing and extracting the data, you're essentially doing pattern matching.
Look for unique patterns that make it easy to isolate the data you're after.
One method of course is regular expressions. Say I want to extract email addresses from a text file named file.
egrep -io "\b[A-Z0-9._%+-]+#[A-Z0-9.-]+\.[A-Z]{2,4}\b" file
The above command will print the email addresses [2]. If you instead want to save them to a file, append > filename to the end of the command.
[1] Note that this list is not an exhaustive list. It's missing many options.
[2] This regular expression isn't bulletproof, there are some extreme cases it will not cover.
Alternatively, you can use a script that I've created which is much better for extracting email addresses from text files. It's more accurate at finding email addresses, easier to use, and you can pass it multiple files at once. You can access it here: https://gist.github.com/dideler/5219706
At the moment, we use MS WORD and MS EXCEL to mail merge documents that needs to be sent to multiple recepients.
For example, say there is a complaint form where the complainant needs to fill in his/her name, address, etc. So we have a .doc file set up with the content and the dynamic entities set up for mail merging, with the name and address details put in an excel file, from where we can happily mail merge to generate all or just the necessary forms/documents.
However, I would like to automate this process, like a form in a website where the complainant can fill in his/her name, address and other details, and we could use that to generate the complaint form automatically and offer it to be downloaded (preferrably as a pdf).
Now, the only solution that comes to mind, is Latex, so that I can just replace the needed entities and just compile to PDF. However, that bit has to be negotiated with the webhost, if they are offering Latex or not.
Is there any other solution? Any other way we could get this done, with something that shouldn't be a problem for most webhosting solutions to offer?
EDIT: I would prefer a non .NET or rather non microsoft solution since, the servers are running linux and while mono might be capable of getting the job done, none of our devs know any .NET languages. However, if required we might have to dwelve into it.
Generating PDF using an XSL. Check the following: Apoc XSL-FO
You will need to create an XML file with the required fields and transform that with this tool.
If you wish to avoid .NET then XSL-FO is worth a look. Try the FOray project.
XSLT can be a steep learn if you do not have experience already. Also users will not be able to change the templates without asking the XSLT guru to do it.
If your templates are already in MS Word and MS Excel then I would stick with generating MS docs on the server. These are now easy to work with from code since OpenXML - check out OfficeOpenXML and OpenXMLDeveloper
Apache FOP : http://xmlgraphics.apache.org/fop/
I suggest generating rtf on the server: it's easy enough to automatically generate using cpan's RTF::Writer, has converters generating good pdf, can be edited by hand in word, oo-writer & TextEdit, doesn't have any really bad compatibility issues between the main editing applications, and has decent text & resource extraction tools, with text extraction being rather better than pdf.
There's some support for moving between rtf & latex, although the best rtf -> latex converter, docx2tex, depends on the System.IO.Packaging .net module, whose mono implementation isn't yet rock solid.
Postscript — Not a recommendation: it's too much of an unwieldy sledgehammer for this job, but iText will generate the pdf directly from the form data. If you wanted to do fancy things like signed pdf, that would be the way to go.
Postscript #2 — If you break up the Word document into individual files using word's master document representation, then you can clobber one of the parts with hand-generated content. This makes it easy to do something approximating form-filling on word .doc files using just standard file-utils and some trivial rtf->doc tweaking.