A conversational AI-driven telecom multi-agent system for managing call balances, push notifications, marketing, targeting, and sales.
A inter-process and inter-machine lockfile utility that works on a local or network file system
JSON for Humans
Unique machine (desktop) id (no admin privileges required).
Core logic for the time-picker widget implemented as a state machine
Squirrel maker for Electron Forge
Enhance ESLint with better support for large scale monorepos
[Experimental] - 🚇 File crawling, watching and mapping for Metro
Core logic for the file-upload widget implemented as a state machine
Native retrieval of a unique desktop machine ID without admin privileges or child processes. Faster and more reliable alternative to node-machine-id.
snyk library and cli utility
walk paths fast and efficiently
Easy as cake e-mail sending from your Node.js applications
Cryptocurrency wallet for Ethereum Virtual Machine (EVM) compatible blockchain networks written in Javascript, part of the EVM Toolchain, depending on the Ethers library.
State management made super simple
--- title: inlang CLI - Localization Automation for CI/CD description: Automate translation workflows with machine translation, validation, and CI/CD integration. Supports JSON, i18next, next-intl, and more. og:image: https://cdn.jsdelivr.net/gh/opral/inl
Analyze the exported API for a TypeScript library and generate reviews, documentation, and .d.ts rollups
Best-effort discovery of the machine's default gateway and local network IP exclusively with UDP sockets.
State machine utilities for the Reach UI library.
Capture and retrieve the last time a function was run
Nuxt collects anonymous telemetry data about general usage. This helps us to accurately gauge Nuxt feature usage and customization across all our users.
Core logic for the checkbox widget implemented as a state machine
EditorConfig File Locator and Interpreter for Node.js
Read and parse a JSON file
Generates files for entities defined in a Core Data model. Inspired by mogenerator. For each entity in the Core Data model, moblues will create two files: a machine file and a human file. The machine file will be overwritten each time and should not contain any modifications. Moblues will only create the human file if it doesn't exist.
Measure pulse timing accuracy in an audio file. Use to measure the timing accuracy of drum machines, sequencers and other music electronics. Inspired by the Inner Clock Systems Litmus Test
Deploy with Rsync to your server from any local (or remote) repository. Saves you the need to install Git on your production machine and deploy all of your development files each time! Suitable for deploying any apps, be it Ruby or Node.js.
Deploy with Rsync to your server from any local (or remote) repository. Saves you the need to install Git on your production machine and deploy all of your development files each time! Works with the new Capistrano v3! Suitable for deploying any apps, be it Ruby or Node.js.
Deploy with Rsync to your server from any local (or remote) repository. Saves you the need to install Git on your production machine and deploy all of your development files each time! Suitable for deploying any apps, be it Ruby or Node.js. Cloned from https://github.com/moll/mina-rsync
Deploy with Rsync to your server from any local (or remote) repository. Saves you the need to install Git on your production machine and deploy all of your development files each time! Works with the new Capistrano v3! Suitable for deploying any apps, be it Ruby or Node.js. Initially gem has been developed by Moll (https://github.com/moll/capistrano-rsync). Scm support is introduced by Seantan (https://github.com/seantan/capistrano-rsync).
My SAKURA gem with various utilities. This is my swiss-army knife for Linux and Mac. See README.md for amazing examples, like: richelp ubuntu # shows a richelp of my 'ubuntu' cheatsheet richelp sakura synopsis # shows a richelp of my 'sakura' cheatsheet, grepping for 'synopsis' ls | act # randomly scrambles the lines! Taken from cat/atc ;) ps | rainbow # colors all lines differently twice itunes - # lowers volume of iTunes... twice :) 10 echo Bart Simpson likes it DRY # tells you this 10 times. Very sarcastic script! seq 100 | 1suN 7 # prints every 7th element of the list zombies # prints processes that show zombies (plus funny options to kill them) find . -size +300M | xargs mvto /tmp/bigfiles/ # moves big files to that directory alias gp='never_as_root git pull' # only if u r not root it runs! tellme-time # Tells you the time with Riccardo voice in Italian. Brilliant! find-duplicates . # Tells you files with same size/MD5 in this directory facter is_google_vm # Tells if it's a GCE Virtual Machine
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
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
$Id: README.txt 204 2010-11-30 02:20:04Z pwilkins $ sm-transcript reads results of SLS processing and produces transcripts for the SpokenMedia browser. For each file in the source folder whose extension matches the source type, a file of destination type is created in the destination folder. All of these parameters have default values. Note: Examples of the commands you enter in the terminal are for *nix. The command prompt in the examples is: felix$ <command line> If you are a Windows user, make the usual adjustments. Requirements: sm-transcript is written in Ruby and packaged as a RubyGem. Since Ruby is not a compiled language, you will need to have Ruby installed on your machine to run sm-transcript. You can determine if Ruby is installed by typing "ruby -v" at a terminal prompt. It should return the version of Ruby that is installed. If Ruby is not installed on your machine, navigate to http://www.ruby-lang.org/ and follow the installation instructions. sm-transcript was developed using Ruby 1.8. Other Ruby versions have not been tested as of this release. Installation: You can get sm-transcript as either a RubyGem or as source from svn. The preferred way to install this package is as a Rubygem. You can download and install the gem with this command: felix$ sudo gem install [--verbose] sm-transcript This command downloads the most recent version of the gem from rubygems.org and makes it active. Previous versions of the gem remain installed, but are deactivated. You must use "sudo" to properly install the gem. If you execute "gem install" (omitting the "sudo") the gem is installed in your home gem repository and it isn't in your path without additional configuration. Note: You need sudo privileges to run the command as written. If you can't sudo, then you can install it locally and will need some additional configuration. Contact me (or your local Ruby wizard) for assistance. The executable is now in your path. You can cleanly uninstall the gem with this command: felix$ sudo gem uninstall sm-transcript If you have access to our svn repository, you are welcome to check out the code. Be warned that the trunk tip is not necessarily stable. It changes frequently as enhancements (and bug fixes) are added. (note that the 'smb_transcript' in the command line below is not a typo.) svn co svn+ssh://svn.mit.edu/oeit-tsa/SMB/smb_transcript/trunk sm_transcript build the gem by running this command from the directory you installed the source. This is what it looks like on my machine: felix$ rake gem The gem will be built and put in ./pkg You can now use the gem installation instructions above. Using the App: Run with no command line parameters, the app reads *.wrd files out of ./results and writes *.t1.html files to ./transcripts. These directories are relative to where sm_transcript is called. Note: destination files are overwritten without a warning prompt. If you want to preserve an existing output file, rename it before running the app again. For example, run the app by navigating to the bin folder and enter projects/sm_transcript/bin felix$ sm_transcript This command run from this folder will read *.wrd files from bin/results and write *-t1.html to bin/transcripts. Usage: sm_transcript [options] --srcdir PATH Read files from this folder (Default: ./results) --destdir PATH Write files to this folder (Default: ./transcripts) --srctype wrd | seg | txt | ttml | srt Kind of file to process (Default: wrd) --desttype html | ttml | datajs | json Kind of file to output (Default: html) -h, --help Show this message There is a serious gotch'a in specifying the srctype parameter: it must match the case of the file extension that you're processing. This means that if the srt files that you are processing have the extension .SRT, then you must specify the srctype as "SRT". Pretty lame, I know. I will update the gem with a fix shortly. My apologies until then. Troubleshooting: sm-transcript requires additional gems to operate. The RubyGem installation should install dependencies automatically, but when it doesn't, you get an error that includes ... no such file to load -- builder (LoadError) in the first few lines when you run sm-transcript, the problem is a missing dependent gem. (the error above indicates that the Builder gem is missing.) Try installing the missing gem. For the error above, the command looks like this on my computer: felix$ sudo gem install builder See "Required Gems" below for more information. A warning message such as: "WARNING: Nokogiri was built against LibXML version 2.7.6, but has dynamically loaded 2.7.7"" may be safely ignored. If you continue to have trouble, feel free to contact me. Upgrading: You can easily upgrade by simply executing the same command you used to install the gem. Running install again will add the newer version and make it active. By default the most recent version is used, but older versions are still available, simply inactive. If are using svn, you should already know what to do. Required Gems: builder - create structured data, such as XML extensions - added for the 'require_relative' command. (To get this command in Ruby 1.8 you need to install this gem, for Ruby 1.9 the command is already part of the core.) htmlentities - html parsing json - create JSON structured data nokogiri - xml parsing library optparse - option parsing of command line ostruct - open data structures ppcommand - pp is a pretty printer. It is used only for debugging rake - make for Ruby rubygems - support for gems (shouldn't be needed for Ruby 1.9) shoulda - enhancement for Test::Unit This command installs gems on OSX and Linux: felix$ sudo gem install <gem name> I recommend running the following command to update to latest version of rubygems before loading new gems. felix$ sudo gem update --system Unit Tests: You may run all unit tests by navigating to the test folder and running rake with no parameters (the default rake task runs all tests). On my computer, it looks like this: projects/sm_transcript/test felix$ rake Release Notes: Initial Version - runs under Ruby 1.8.x. version 0.0.4 - fixes bug when processing .WRD files with CRLF line endings. version 0.0.5 - removed due to posting error version 0.0.6 - added srctype of ttml and desttype of json, fixed bug where beginning time of word was actually for previous word. version 0.0.7 - added srt as srctype version 0.0.8 - fixed bug that dropped last phrase from transcripts version 1.0.0 - declared this version 1.0.0 to conform more closely with gem numbering conventions. All tests run successfully. To Do: - specify individual files for processing rather than folders - fix bug in srt processing: can't read Creole srt content. - allow user to modify the "t1" file extension for addition languages of the same transcript. - update code to run under Ruby 1.9
# Dotbot: A Cute Lil' Dotfiles Manager I made a simple little dotfiles manager because I got tired of creating symlinks all the time. ## Installation You can install `dotbot` via the `gem` command: $ gem install dotbot Once you have it installed, either create a `~/.dotbot` file (YAML) with the following contents. ``` dir: ~/.dotfiles # or whatever your preferred location is ``` Optionally, instead of a .dotbot file, you can use environment variables, each of the pattern DOTBOT_<var>. For instance, you could execute some commands by saying $ DOTBOT_DIR=~/shnargleflorp dotbot update More commands and options to come later. ## Usage ### Track a New File $ dotbot track <filename> [--git] This command adds the file to your dotfiles repo and creates a symlink in the file's old location so it will stay updated. Use the `--git` flag to also add/commit/push to your remote dotfiles repo. ### Update Your Dotfiles $ dotbot update This command is pretty much just a `git pull` in your dotfiles repo. ## Development After checking out the repo, run `bin/setup` to install dependencies. You can also run `bin/console` for an interactive prompt that will allow you to experiment. To install this gem onto your local machine, run `bundle exec rake install`. To release a new version, update the version number in `version.rb`, and then run `bundle exec rake release`, which will create a git tag for the version, push git commits and tags, and push the `.gem` file to [rubygems.org](https://rubygems.org). ## Contributing Bug reports and pull requests are welcome on GitHub at https://github.com/[USERNAME]/dotbot-mini. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [Contributor Covenant](http://contributor-covenant.org) code of conduct. ## License The gem is available as open source under the terms of the [MIT License](https://opensource.org/licenses/MIT). ## Code of Conduct Everyone interacting in the Dotbot::Mini project’s codebases, issue trackers, chat rooms and mailing lists is expected to follow the [code of conduct](https://github.com/rpalo/dotbot/blob/master/CODE_OF_CONDUCT.md).
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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