nats.py | Python3 client for NATS | Reactive Programming library

 by   nats-io Python Version: v2.2.0 License: Apache-2.0

kandi X-RAY | nats.py Summary

kandi X-RAY | nats.py Summary

nats.py is a Python library typically used in Programming Style, Reactive Programming applications. nats.py has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install nats.py' or download it from GitHub, PyPI.

Python3 client for NATS
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            kandi-support Support

              nats.py has a low active ecosystem.
              It has 663 star(s) with 144 fork(s). There are 22 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 79 open issues and 125 have been closed. On average issues are closed in 48 days. There are 14 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of nats.py is v2.2.0

            kandi-Quality Quality

              nats.py has 0 bugs and 0 code smells.

            kandi-Security Security

              nats.py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              nats.py code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              nats.py is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              nats.py releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              nats.py saves you 2445 person hours of effort in developing the same functionality from scratch.
              It has 7800 lines of code, 592 functions and 52 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed nats.py and discovered the below as its top functions. This is intended to give you an instant insight into nats.py implemented functionality, and help decide if they suit your requirements.
            • Process a single message
            • Check if data is a control message
            • Get a key from the cache
            • Build a message object
            • Start the client
            • Sends a ping
            • Show usage
            • Send a ping message
            • Subscribe to messages
            • Process an error message
            • Flush pending operations
            • Create a jetstream context
            • Periodic thread
            • Callback when a request is received
            • Drain the stream
            • Get the last message from a stream
            • Return ssl context
            • Delete a key - value bucket
            • Parse nats messages
            • Generate NUIDs
            • Create a new key - value pair
            • Create a pull subscription
            • Start the discovery server
            • Return the next message from the queue
            • Read from the transport
            • Connects to the server
            Get all kandi verified functions for this library.

            nats.py Key Features

            No Key Features are available at this moment for nats.py.

            nats.py Examples and Code Snippets

            No Code Snippets are available at this moment for nats.py.

            Community Discussions

            QUESTION

            How to connect STAN to NATS using NKeys?
            Asked 2020-Oct-05 at 18:14

            We're setting up a NATS and STAN cluster. The STAN cluster needs to connect to our NATS cluster, obviously. But now I'm having trouble to authenticate, when connecting the STAN cluster to the NATS cluster.

            We are using NKeys for authentication (https://docs.nats.io/developing-with-nats/security/nkey). When I try to connect with the STAN credentials with the python client (nats.py), then I have no problem at all.

            STAN asks for a credentials file for authentication. I tried giving a file with only the seed, also seed and user pubkey... How should I do it?

            Thanks for the help in advance!

            ...

            ANSWER

            Answered 2020-Oct-05 at 18:14

            https://github.com/nats-io/nats-streaming-server/issues/1095

            Asked the question on GitHub. Nkeys are not supported by NATS Streaming. JWT is the only option.

            Source https://stackoverflow.com/questions/64124010

            QUESTION

            How do I subscribe to a NATS subject in Python and keep receiving messages?
            Asked 2020-Sep-11 at 14:50

            I tried out the example below (from this page):

            ...

            ANSWER

            Answered 2020-Sep-11 at 14:46

            Don't know much about python, but looks like you are just waiting for one message and program ends. You should look at the subscriber example here. As you can see, there is a loop to wait forever or for the SIGTERM signal.

            Source https://stackoverflow.com/questions/63846385

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install nats.py

            You can install using 'pip install nats.py' or download it from GitHub, PyPI.
            You can use nats.py like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            Should be compatible with at least Python +3.7.
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