Three docker images were created, and each shows done. You should see three success messages in your terminal: Image showing the console output for the docker-compose up -d command. The instance can be switched on and off through the desktop GUI. Then open your terminal pointed at that same directory and run: docker-compose up -d If you are using Docker desktop, this only needs to be run once. ROOT_URL= ROCKETCHAT_VERSION=latest The filename is specific to our repository. env file and insert the following contents: COMPOSE_FILE= Within your Rocket.Chat directory, create a. I personally use Windows 10, so I installed the Docker desktop client and had to enable hardware virtualisation in my BIOS. The installation process is different for each operating system. Note: If you do not have docker installed, you will need to install it. This tutorial will assume that you are using our existing docker file. You can either clone this repository, or manually create your own docker file based on our configuration. You can use freeCodeCamp's docker file, which will spin up both Rocket.Chat and MongoDB automatically for a development environment. Your first step is to get an instance of Rocket.Chat running locally – you will need this to test the bot's functionality. This code is now running in production, and lots of people are using it. This is the same process I used to build freeCodeCamp's moderation chat bot for our community's self-hosted chat server. JetBrains supports this project by providing us with licenses for their fantastic products.Today I will show you how to build your own Rocket.Chat bot and test it locally. Reporting bugs and asking for features is also contributing ) Feel free to help us grow by registering issues. Please, try to implement tests for all your code and use a PEP8 compliant code style. (It may take a while to merge your code but if it's good it will be merged). You can contribute by doing Pull Requests. To start test server do docker-compose up and to take test server down docker-compose down.Tests run on a Rocket.Chat Docker container so install Docker and docker-compose. If you are interested in a specific call just open an issue or open a pull request. Most of the API methods are already implemented. For a detailed parameters list check the Rocket chat API API coverage Only required parameters are explicit on the RocketChat class but you can still use all other parameters. json ()) Using a token for authentication instead of user and password from pprint import pprint from rocketchat_API.rocketchat import RocketChat rocket = RocketChat ( user_id = 'WPXGmQ64S3BXdCRb6', auth_token = 'jvNyOYw2f0YKwtiFS06Fk21HBRBBuV7zI43HmkNzI_s', server_url = '' ) pprint ( rocket. channels_history ( 'GENERAL', count = 5 ). chat_post_message ( 'good news everyone!', channel = 'GENERAL', alias = 'Farnsworth' ). Session () as session : rocket = RocketChat ( 'user', 'pass', server_url = '', session = session ) pprint ( rocket. from requests import sessions from pprint import pprint from rocketchat_API.rocketchat import RocketChat with sessions. This will save significant time by avoiding re-negotiation of TLS (SSL) with the chat server on each call. If you are going to make a couple of request, you can user connection pooling provided by requests. Note: every method returns a requests Response object. Usage from pprint import pprint from rocketchat_API.rocketchat import RocketChat proxy_dict = rocket = RocketChat ( 'user', 'pass', server_url = '', proxies = proxy_dict ) pprint ( rocket. Clone our repository and python3 setup.py install
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