Results for read-file-stdin

reads a file or STDIN and outputs colorized markdown to STDOUT

Generates CSV files that can be consumed by Microsoft Treemapper from the Sonar API. Reads stdin and stdout.

create gists from the command line

Convert timestamps between timezones. Reads from stdin or file, auto-detects timestamp formats, and preserves the original format by default.

Readorder orders a list of files into a more effective read order. You would possibly want to use readorder in a case where you know ahead of time that you have a large quantity of files on disc to process. You can give that list off those files and it will report back to you the order in which you should process them to make most effective use of your disc I/O. Given a list of filenames, either on the command line or via stdin, readorder will output the filenames in an order that should increase the I/O throughput when the files corresponding to the filenames are read off of disc. The output order of the filenames can either be in inode order or physical disc block order. This is dependent upon operating system support and permission level of the user running readorder.

Sym is a ruby library (gem) that offers both the command line interface (CLI) and a set of rich Ruby APIs, which make it rather trivial to add encryption and decryption of sensitive data to your development or deployment workflow. For additional security the private key itself can be encrypted with a user-generated password. For decryption using the key the password can be input into STDIN, or be defined by an ENV variable, or an OS-X Keychain Entry. Unlike many other existing encryption tools, Sym focuses on getting out of your way by offering a streamlined interface with password caching (if MemCached is installed and running locally) in hopes to make encryption of application secrets nearly completely transparent to the developers. Sym uses symmetric 256-bit key encryption with the AES-256-CBC cipher, same cipher as used by the US Government. For password-protecting the key Sym uses AES-128-CBC cipher. The resulting data is zlib-compressed and base64-encoded. The keys are also base64 encoded for easy copying/pasting/etc. Sym accomplishes encryption transparency by combining several convenient features: 1. Sym can read the private key from multiple source types, such as pathname, an environment variable name, a keychain entry, or CLI argument. You simply pass either of these to the -k flag — one flag that works for all source types. 2. By utilizing OS-X Keychain on a Mac, Sym offers truly secure way of storing the key on a local machine, much more secure then storing it on a file system, 3. By using a local password cache (activated with -c) via an in-memory provider such as memcached, sym invocations take advantage of password cache, and only ask for a password once per a configurable time period, 4. By using SYM_ARGS environment variable, where common flags can be saved. This is activated with sym -A, 5. By reading the key from the default key source file ~/.sym.key which requires no flags at all, 6. By utilizing the --negate option to quickly encrypt a regular file, or decrypt an encrypted file with extension .enc 7. By implementing the -t (edit) mode, that opens an encrypted file in your $EDITOR, and replaces the encrypted version upon save & exit, optionally creating a backup. 8. By offering the Sym::MagicFile ruby API to easily read encrypted files into memory. Please refer the module documentation available here: https://www.rubydoc.info/gems/sym

Reads a text file (if supplied as the first argument) and creates a pdf file with the same name but with .pdf as extension in the current directory via the program pdflatex (the only requirement besides ruby itself). If '-h' is the first argument, then the program displays the helptext and exits. The program can also read the input text from STDIN (STanDard IN) and create the pdf file in the user's home directory. When this method is used, no argument is given to the program and the text is simply piped directly into the program like this: $ echo 'Hello' | txt2pdf This would create a pdf file with only 'Hello' and the page number at the bottom of the resulting pdf page. With this, you could map a key binding in your window manager to create a pdf file from the text you selected in any program, be it the terminal, your browser or your text editor. In my wm of choice, i3, I have added the following to my i3 config: bindsym $mod+p exec xclip -o | txt2pdf This would create a pdf file from the text I have selected as I hit the 'Window Button' and 'p'.

== DESCRIPTION: Provides a script and library to parse stories saved in the RSpec plain text story format and creates a PDF file with printable 3"x5" index cards suitable for using in Agile planning and prioritization. == FEATURES/PROBLEMS: * Create a PDF with each page as a 3x5 sheet, or as 4 cards per 8.5 x 11 sheet * Included script reads stories from STDIN and writes PDF to STDOUT * TODO: Improve test coverage * TODO: Improve documentation == SYNOPSIS: From the command line with stories2cards < /path/to/stories.txt Or via Ruby story_text = File.read('my_story') pdf_content = PDF::Storycards::Writer.make_pdf(story_text, :style => :card_1up) == REQUIREMENTS:

Log2json lets you read, filter and send logs as JSON objects via Unix pipes. It is inspired by Logstash, and is meant to be compatible with it at the JSON event/record level so that it can easily work with Kibana. Reading logs is done via a shell script(eg, `tail`) running in its own process. You then configure(see the `syslog2json` or the `nginxlog2json` script for examples) and run your filters in Ruby using the `Log2Json` module and its contained helper classes. `Log2Json` reads from stdin the logs(one log record per line), parses the log lines into JSON records, and then serializes and writes the records to stdout, which then can be piped to another process for processing or sending it to somewhere else. Currently, Log2json ships with a `tail-log` script that can be run as the input process. It's the same as using the Linux `tail` utility with the `-v -F` options except that it also tracks the positions(as the numbers of lines read from the beginning of the files) in a few files in the file system so that if the input process is interrupted, it can continue reading from where it left off next time if the files had been followed. This feature is similar to the sincedb feature in Logstash's file input. Note: If you don't need the tracking feature(ie, you are fine with always tailling from the end of file with `-v -F -n0`), then you can just use the `tail` utility that comes with your Linux distribution.(Or more specifically, the `tail` from the GNU coreutils). Other versions of the `tail` utility may also work, but are not tested. The input protocol expected by Log2json is very simple and documented in the source code. ** The `tail-log` script uses a patched version of `tail` from the GNU coreutils package. A binary of the `tail` utility compiled for Ubuntu 12.04 LTS is included with the Log2json gem. If the binary doesn't work for your distribution, then you'll need to get GNU coreutils-8.13, apply the patch(it can be found in the src/ directory of the installed gem), and then replace the bin/tail binary in the directory of the installed gem with your version of the binary. ** P.S. If you know of a way to configure and compile ONLY the tail program in coreutils, please let me know! The reason I'm not building tail post gem installation is that it takes too long to configure && make because that actually builds every utilties in coreutils. For shipping logs to Redis, there's the `lines2redis` script that can be used as the output process in the pipe. For shipping logs from Redis to ElasticSearch, Log2json provides a `redis2es` script. Finally here's an example of Log2json in action: From a client machine: tail-log /var/log/{sys,mail}log /var/log/{kern,auth}.log | syslog2json | queue=jsonlogs \ flush_size=20 \ flush_interval=30 \ lines2redis host.to.redis.server 6379 0 # use redis DB 0 On the Redis server: redis_queue=jsonlogs redis2es host.to.es.server Resources that help writing log2json filters: - look at log2json.rb source and example filters - http://grokdebug.herokuapp.com/ - http://www.ruby-doc.org/stdlib-1.9.3/libdoc/date/rdoc/DateTime.html#method-i-strftime

Log2json lets you read, filter and send logs as JSON objects via Unix pipes. It is inspired by Logstash, and is meant to be compatible with it at the JSON event/record level so that it can easily work with Kibana. Reading logs is done via a shell script(eg, `tail`) running in its own process. You then configure(see the `syslog2json` or the `nginxlog2json` script for examples) and run your filters in Ruby using the `Log2Json` module and its contained helper classes. `Log2Json` reads from stdin the logs(one log record per line), parses the log lines into JSON records, and then serializes and writes the records to stdout, which then can be piped to another process for processing or sending it to somewhere else. Currently, Log2json ships with a `tail-log` script that can be run as the input process. It's the same as using the Linux `tail` utility with the `-v -F` options except that it also tracks the positions(as the numbers of lines read from the beginning of the files) in a few files in the file system so that if the input process is interrupted, it can continue reading from where it left off next time if the files had been followed. This feature is similar to the sincedb feature in Logstash's file input. Note: If you don't need the tracking feature(ie, you are fine with always tailling from the end of file with `-v -F -n0`), then you can just use the `tail` utility that comes with your Linux distribution.(Or more specifically, the `tail` from the GNU coreutils). Other versions of the `tail` utility may also work, but are not tested. The input protocol expected by Log2json is very simple and documented in the source code. ** The `tail-log` script uses a patched version of `tail` from the GNU coreutils package. A binary of the `tail` utility compiled for Ubuntu 12.04 LTS is included with the Log2json gem. If the binary doesn't work for your distribution, then you'll need to get GNU coreutils-8.13, apply the patch(it can be found in the src/ directory of the installed gem), and then replace the bin/tail binary in the directory of the installed gem with your version of the binary. ** P.S. If you know of a way to configure and compile ONLY the tail program in coreutils, please let me know! The reason I'm not building tail post gem installation is that it takes too long to configure && make because that actually builds every utilties in coreutils. For shipping logs to Redis, there's the `lines2redis` script that can be used as the output process in the pipe. For shipping logs from Redis to ElasticSearch, Log2json provides a `redis2es` script. Finally here's an example of Log2json in action: From a client machine: tail-log /var/log/{sys,mail}log /var/log/{kern,auth}.log | syslog2json | queue=jsonlogs \ flush_size=20 \ flush_interval=30 \ lines2redis host.to.redis.server 6379 0 # use redis DB 0 On the Redis server: redis_queue=jsonlogs redis2es host.to.es.server Resources that help writing log2json filters: - look at log2json.rb source and example filters - http://grokdebug.herokuapp.com/ - http://www.ruby-doc.org/stdlib-1.9.3/libdoc/date/rdoc/DateTime.html#method-i-strftime

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