store a simple log in a LevelUP
Minimal lightweight logging for JavaScript, adding reliable log level methods to any available console.log methods
An mutable object-based log format designed for chaining & objectMode streams.
JSON logger for Node.js and browser.
The most simple logger imaginable
Detect whether a terminal supports color
Definitions of levels for logging purposes & shareable Symbol constants.
just emit 'log' events on the process object
a JSON logging library for node.js services
Ledger logs central point
A helper utility for logging of WebdriverIO packages
a JSON logging library for node.js services
Microsoft Azure SDK for JavaScript - Logger
Lightweight logger with a simple pass-through configuration for use with fancier logging libraries
Universal pluggable logging utility
A node console and file logger suitable for small, medium and large production projects.
Base log level manager used to implement log level managers for loglayer.
Simplified HTTP request client.
A simple logging module
A beautiful and minimal logger for all applications
The more powerful JavaScript logger for NodeJS and browsers.
Simplified JS/TS implementation of wcswidth() written by Markus Kuhn in C
TypeScript definitions for console-log-level
Prettifier for Pino log lines
Simple JSON logging for Ruby
A very, very simple singleton logger with colored log levels.
This gem contains a simple logging facility that can be used in The AI Games' competitions to log events. It provides several log levels and prints the output to STDERR, where it is picked up by The AI Games' game engines.
Adds some simple formatting to the standard Rails BufferedLogger class. This solution aims to be something between the default logging which is missing information such as timestamps, process IDs and severity levels and a full logging solution like log4r
EmojiLogs is a simple, zero-dependency Ruby logger that uses emojis to make log levels instantly recognizable. Perfect for development, debugging, and making logs more enjoyable to read.
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
REST API for electronic invoicing in France: Factur-X (CII), UBL 2.1, AFNOR PDP/PA, electronic signatures. ## 🎯 Main Features ### 📄 Invoice Generation - **Formats**: CII XML, UBL 2.1 XML, or Factur-X PDF/A-3 - **Profiles** (CII/PDF): MINIMUM, BASIC, EN16931, EXTENDED - **UBL**: Always EN16931 compliant - **Standards**: EN 16931 (EU directive 2014/55), ISO 19005-3 (PDF/A-3), CII (UN/CEFACT), UBL 2.1 (OASIS) - **Simplified Format**: Generation from SIRET + auto-enrichment (Chorus Pro API + Business Search) ### ✅ Factur-X - Validation - **XML Validation**: Schematron (45 to 210+ rules depending on profile) - **PDF Validation**: PDF/A-3, Factur-X XMP metadata - **VeraPDF**: Strict PDF/A validation (146+ ISO 19005-3 rules) ### ✍️ Electronic Signature - **Standards**: PAdES-B-B, PAdES-B-T (RFC 3161 timestamping), PAdES-B-LT (long-term archival) - **eIDAS Levels**: SES (self-signed), AdES (commercial CA), QES (QTSP) - **Validation**: Cryptographic integrity and certificate verification ### 📋 Flux 6 - Invoice Lifecycle (CDAR) - **CDAR Messages**: Acknowledgements, invoice statuses - **PPF Statuses**: REFUSED (210), PAID (212) ### 📊 Flux 10 - E-Reporting - **Tax Declarations**: International B2B, B2C - **Flow Types**: 10.1 (B2B transactions), 10.2 (B2B payments), 10.3 (B2C transactions), 10.4 (B2C payments) ### 📡 AFNOR PDP/PA (XP Z12-013) - **Flow Service**: Submit and search flows to PDPs - **Directory Service**: Company search (SIREN/SIRET) - **Multi-client**: Support for multiple PDP configs per user ### 🏛️ Chorus Pro - **Public Sector Invoicing**: Complete API for Chorus Pro ### ⏳ Async Tasks - **Celery**: Asynchronous generation, validation and signing - **Polling**: Status tracking via `/tasks/{task_id}/status` - **Webhooks**: Automatic notifications when tasks complete ## 🔒 Authentication All requests require a **JWT token** in the Authorization header: ``` Authorization: Bearer YOUR_JWT_TOKEN ``` ### How to obtain a JWT token? #### 🔑 Method 1: `/api/token/` API (Recommended) **URL:** `https://factpulse.fr/api/token/` This method is **recommended** for integration in your applications and CI/CD workflows. **Prerequisites:** Having set a password on your account **For users registered via email/password:** - You already have a password, use it directly **For users registered via OAuth (Google/GitHub):** - You must first set a password at: https://factpulse.fr/accounts/password/set/ - Once the password is created, you can use the API **Request example:** ```bash curl -X POST https://factpulse.fr/api/token/ \ -H "Content-Type: application/json" \ -d '{ "username": "your_email@example.com", "password": "your_password" }' ``` **Optional `client_uid` parameter:** To select credentials for a specific client (PA/PDP, Chorus Pro, signing certificates), add `client_uid`: ```bash curl -X POST https://factpulse.fr/api/token/ \ -H "Content-Type: application/json" \ -d '{ "username": "your_email@example.com", "password": "your_password", "client_uid": "550e8400-e29b-41d4-a716-446655440000" }' ``` The `client_uid` will be included in the JWT and allow the API to automatically use: - AFNOR/PDP credentials configured for this client - Chorus Pro credentials configured for this client - Electronic signature certificates configured for this client **Response:** ```json { "access": "eyJ0eXAiOiJKV1QiLCJhbGc...", // Access token (validity: 30 min) "refresh": "eyJ0eXAiOiJKV1QiLCJhbGc..." // Refresh token (validity: 7 days) } ``` **Advantages:** - ✅ Full automation (CI/CD, scripts) - ✅ Programmatic token management - ✅ Refresh token support for automatic access renewal - ✅ Easy integration in any language/tool #### 🖥️ Method 2: Dashboard Generation (Alternative) **URL:** https://factpulse.fr/api/dashboard/ This method is suitable for quick tests or occasional use via the graphical interface. **How it works:** - Log in to the dashboard - Use the "Generate Test Token" or "Generate Production Token" buttons - Works for **all** users (OAuth and email/password), without requiring a password **Token types:** - **Test Token**: 24h validity, 1000 calls/day quota (free) - **Production Token**: 7 days validity, quota based on your plan **Advantages:** - ✅ Quick for API testing - ✅ No password required - ✅ Simple visual interface **Disadvantages:** - ❌ Requires manual action - ❌ No refresh token - ❌ Less suited for automation ### 📚 Full Documentation For more information on authentication and API usage: https://factpulse.fr/documentation-api/
Contentful API wrapper library exposing an ActiveRecord-like interface
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