for legal reason I should let the customer be able to download a CSV file but she/he should be able only to read it, not modify it.
What's a common way of handling this use case?
Some kind of signature on the file so that if it's modified you can see it's not in his original form?
I don't need a solution bound to a specific language, I would just like to know what is the best practice.
If customer will be able to download this file into his computer, than you can't stop her/him from modifying it.
However, you may easy detect changes, the easiest will be generating a cryptographic hash function for the file, i.e.:
$ sha256sum data.csv
eea8254c7500ba3de996aa8ad6af399183f04e17d4a8102fde539dbc93a90012 data.csv
Related
I have both JSON file and JL file on my computer but when I open them in Notepad their structure looks like the same. What is the difference between them? where shall I use each one?
Actually, the time that I was asking this question I didn't know that "the file type is no guarantee of what is inside it". in other words I thought that for every file name there is a separate manifesto and if a files name is ".something", there is a unique manifesto for it. But now I know that I can create a file, write anything that I want into it and name it ".peyman" and yes there is nothing special with it!
What was that file? the file was JSON Lines file format.
Where did I find it? in the Scrapy except writing scrapy crawl name -o file.json I saw that somebody wrote scrapy crawl name -o file.jl. I tried that and the file was 99% like JSON file so I wondered and asked this question here.
So:
What is the difference between a .JSON file and .JL file? Now I know that the better question is "What is the difference between a .JSON file and .JL file in the Scrapy?"
The JSON Line is like JSON but without the "[" and "]" at the
beginning and the end. it is used in the Scrapy because of this
There's quite a few things that a jl file extension could be referring to. If I remember correctly, it originally had something to do with the window manager Sawfish.
Sawfish was developed in Lisp, and the jl file was a Lisp source file for Sawfish. However, I'm guessing (because you said that inside was JSON-like sauce) that's not what you're asking about.
In that case, I do recall a few projects on GitHub... JSON lambda and Julia.
Both of those may be the reason why you're seeing JSON in a jl file. Without more information on where you got that file, or what it was part of, though, we won't be able to help you much.
That said, file extensions rarely matter in terms of Linux. In Windows, they're far more important, but in Linux you could literally append anything to a file as an "extension" (ie. thisfile.whatever) and you could still open it up in an editor. The same is true for most editors in Windows.
Likely, the packager of that file decided on jl for their own reasons, rather than following convention of using .json.
I guess JL extension is used for many purposes, but JL is also one of the few extensions used for JSON-lines (also known as NDJSON or JSONL).
This format can contain multiple JSON values, one JSON value (with "compact" formatting) per line and is useful for e.g. streaming or logging.
I am able to find some information on how to read a csv file on a computer but is there any way I can modify one? In my chrome extension I need to add data to each row one at a time after scraping some websites. Is there any better way then read csv, store data as variable and rewrite is everytime? This becomes problematic when the file gets large. I am looking for a way to “append ” to a existing file or a work around. Any suggestions appreciated.
Update: From comment I see it is not possible to read from file system. But is there anyway to read from within the extension directory? How should I do so if the csv file is included with in the zip file of the extension? Can I access them somehow? Code snippets would be helpful.
I'm in the middle of creating something which might help you. Right now you can upload the CSV file and append a "modifier". You can adjust the code according to your requirement. Here's the repo https://github.com/amanrOnly/CSV_Modifier
I'm, writing a Puppet (3.6.2) module that reads data fields from a CSV file via the extlookup function and I cannot figure out how to tell extlookup that the first line is the header field. Does extlookup support this? If not, can anyone recommend an external function I could import and use?
thanks,
PS - Yes I know about hiera, and having the data in YAML or JSON files but my requirement is CSV files only.
Brandon
The behavior of extlookup() is pretty well documented. It makes no special provision for column headers, which are by no means an inherent feature of CSV format. Indeed, if your header line is not readable as a data line, then your file is not CSV at all.
Supposing that your file is indeed valid CSV, the absolute simplest solution would be to ignore the issue. It presents a problem only if the first column heading duplicates an actual or potential data name. If it does not, then you will never look up or use the psuedo-value represented by the first row.
If your file in fact is not CSV on account of its first line, or if the first column name conflicts with a real data name, then it seems the next best alternative would be to just remove that line, or to avoid creating it in the first place. I don't see any reason why one of these should not be possible.
I know about heira, and having the data in YAML or JSON files but my requirement is CSV files only.
How sad. Do be aware that extlookup() has long been deprecated, and it was removed from Puppet 4.
I'm inclined to suggest you implement a translator from CSV to Hiera-friendly YAML, and use Hiera in your module. Alternatively, Hiera supports custom backends, and it's not too hard to write one. I am unaware of an existing CSV backend for Hiera, but you could write one. Ignoring a header line would then be under your control, and you would simultaneously achieve a measure of future-proofing.
I have used the "extract" command, but it never was able to find as much information as FOCA found on these excel spreadsheets I am dealing with.
For example, I am using the FOCA application to harvest and download files from the web. Afterwards, it is extracting metadata from all of the files.
With regards to excel files, it appears that these files are containing more metadata than the average pdf file. That being said, FOCA is able to detect printer names, email addresses, and a few other things that are stored within this spreadsheet file. However, I cannot find any way to get this same information in Linux using the "extract" command.
Anyone know a way to extract files within Linux and grab ALL of its metadata? Seems like the extract command may be limited from what I understand.
Thanks,
Excel files store a lot of meta data within the file, so you would have to parse the file itself to get at it. Since you're on Linux and can't use the Excel interop, you could try to use an Excel library like ExcelWriter or something similar. ExcelWriter is written for .Net, so you'd have to use mono.
I'm about to start writing a program which will attempt to extract data from a Google Code site so that it may be imported in to another project management site. Specifically, I need to extract the full issue detail from the site (description, comments, and so on).
Unfortunately Google don't provide an API for this, nor do they have an export feature, so to me the only option looks to be extracting the data from the actual HTML (yuck). Does any one have any suggestions on "best practice" from attempting to parse data out of HTML? I'm aware that this is less than ideal, but I don't think I have much choice. Can anyone else think of a better way, or maybe someone else has already done this?
Also, I'm aware of the CSV export feature on the issue page, however this does not give complete data about issues (but could be a useful starting point).
I just finished a program called google-code-export (hosted on Github). This allows you to export your Google Code project to an XML file, for example:
>main.py -p synergy-plus -s 1 -c 1
parse: http://code.google.com/p/synergy-plus/issues/detail?id=1
wrote: synergy-plus_google-code-export.xml
... will create a file named synergy-plus_google-code-export.xml.