redis-py | Redis Python Client | Command Line Interface library

 by   redis Python Version: v5.0.0b4 License: MIT

kandi X-RAY | redis-py Summary

kandi X-RAY | redis-py Summary

redis-py is a Python library typically used in Utilities, Command Line Interface applications. redis-py has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install redis-py' or download it from GitHub, PyPI.

The Python interface to the Redis key-value store. Installation | Contributing | Getting Started | Connecting To Redis.

            kandi-support Support

              redis-py has a medium active ecosystem.
              It has 11542 star(s) with 2377 fork(s). There are 327 watchers for this library.
              There were 10 major release(s) in the last 12 months.
              There are 162 open issues and 1287 have been closed. On average issues are closed in 194 days. There are 43 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of redis-py is v5.0.0b4

            kandi-Quality Quality

              redis-py has no bugs reported.

            kandi-Security Security

              redis-py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

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

            kandi-Reuse Reuse

              redis-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, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed redis-py and discovered the below as its top functions. This is intended to give you an instant insight into redis-py implemented functionality, and help decide if they suit your requirements.
            • Set acl user .
            • Initialize the topology .
            • Send all the cluster commands to the server .
            • Execute redis command on target node .
            • Get a range of values from from_time to_time .
            • Construct a ZADD message .
            • Claim a consumer .
            • Perform geose search .
            • Sort a list .
            • Create an index .
            Get all kandi verified functions for this library.

            redis-py Key Features

            No Key Features are available at this moment for redis-py.

            redis-py Examples and Code Snippets

            Pythondot img1Lines of Code : 42dot img1License : Permissive (MIT)
            copy iconCopy
            import redis
            r = redis.Redis()
  "bloom", 0.01, 1000)
  "bloom", "foo")
            import redis
            r = redis.Redis()
  "cuckoo", 1000)
  "cuckoo", "filter")
            import redis
            r = redis.Redis()
            r.cms().initbydim("dim", 1000, 5  
            Example for redis-py OpenTelemetry instrumentation
            Pythondot img2Lines of Code : 9dot img2License : Permissive (MIT)
            copy iconCopy
            git clone
            cd example/opentelemetry
            python3 -m venv .venv
            source .venv/bin/active
            pip install -r requirements.txt
            docker-compose up -d
            docker-compose logs uptrace
            trace: http://localhost:14318/  
            redis-py-Usage-Basic Example
            Pythondot img3Lines of Code : 6dot img3License : Permissive (MIT)
            copy iconCopy
            >>> import redis
            >>> r = redis.Redis(host='localhost', port=6379, db=0)
            >>> r.set('foo', 'bar')
            >>> r.get('foo')
            redis-py - main
            Pythondot img4Lines of Code : 40dot img4License : Permissive (MIT License)
            copy iconCopy
            #!/usr/bin/env python3
            import time
            import uptrace
            from opentelemetry import trace
            from opentelemetry.instrumentation.redis import RedisInstrumentor
            import redis
            tracer = trace.get_tracer("app_or_package_name", "1.0.0")
            def main():
            Regex for extracting a password key-value pair from a text file
            Pythondot img5Lines of Code : 2dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            sed -i 's/^.*requirepass .*$/requirepass /'
            copy iconCopy
            docker-compose up -d --build
            copy iconCopy
            command: gunicorn app.main:app --workers 4 --name main --reload -b 
            500 Undocumented Error: Internal Server Error when returning response in fastapi
            Pythondot img8Lines of Code : 8dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            task_id_global = None
            async def predict(task_id:int,solute,solvent):
                global task_id_global
                task_id_global = task_id
            worker_concurrency configuration not valid for celery
            Pythondot img9Lines of Code : 5dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            # Using a string here means the worker doesn't have to serialize
            # the configuration object to child processes.
            # - namespace='CELERY' means all celery-related configuration keys
            #   should have a `CELERY_` prefix.
            overwrite information on redis using redis_om (python)
            Pythondot img10Lines of Code : 41dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from redis_om import HashModel, Migrator
            # Define a customer model
            class Customer(HashModel):
                first_name: str
                last_name: str
                age: int
                bio: str
            # Create some customers
            cust1 = Customer(

            Community Discussions


            Argparse outputting help text twice
            Asked 2022-Feb-25 at 21:44

            After an hour googling, I can't find anybody who has had anything resembling this issue besides myself. I created a command line interface with argparse. Originally I had tried to leverage argparse's built in help text behavior. But my boss isn't satisfied with the default help text, so he is having me write up the full usage/help text in a text file and just display the entire file.

            For some reason, in a certain case, its outputting the text twice.

            Here is the basics of how my program is broken down:

            I have a top level parser. I read in my help text file, set it to a string help_text, and then set "usage=help_text" on the parser. Then I create subparsers (4 of them and then a base case) to create subcommands. Only one of those subparsers has any additional arguments (one positional, one optional). Before I reworked the help text, I had help text for each individual subcommand by using "help=" but now those are all blank. Lastly, I have set up a base case to display the help text whenever no subcommands are given.

            Here is the behavior I'm getting:

            When I call the main function with no subcommands and no arguments, my help_text from the text file outputs, and then like 2-3 additional lines of boiler plate I can't seem to get rid of. Also because the word usage appears in my text file, it says "usage: usage"

            When I call the main command and then type --help, the exact same thing happens as above.

            When I call the one subcommand that has a required positional argument and I don't include that argument... it spits out the entire help text twice. Right above the second time it prints, it prints the default usage line for that subcommand.

            Lastly, when I use a different subcommand that has no arguments and give it an argument (one too many) it spits out everything completely correctly without even the extra couple lines at the end.

            I don't know how to make heads or tales about this. Here is the main function of the script (I can verify that this problem occurs only in the main function where argparse is used, not the other functions that the main function calls):



            Answered 2022-Feb-25 at 21:44

            With a modification of your main:



            Solving conda environment stuck
            Asked 2021-Dec-22 at 18:02

            I'm trying to install conda environment using the command:



            Answered 2021-Dec-22 at 18:02

            This solves fine (), but is indeed a complex solve mainly due to:

            • underspecification
            • lack of modularization

            This particular environment specification ends up installing well over 300 packages. And there isn't a single one of those that are constrained by the specification. That is a huge SAT problem to solve and Conda will struggle with this. Mamba will help solve faster, but providing additional constraints can vastly reduce the solution space.

            At minimum, specify a Python version (major.minor), such as python=3.9. This is the single most effective constraint.

            Beyond that, putting minimum requirements on central packages (those that are dependencies of others) can help, such as minimum NumPy.

            Lack of Modularization

            I assume the name "devenv" means this is a development environment. So, I get that one wants all these tools immediately at hand. However, Conda environment activation is so simple, and most IDE tooling these days (Spyder, VSCode, Jupyter) encourages separation of infrastructure and the execution kernel. Being more thoughtful about how environments (emphasis on the plural) are organized and work together, can go a long way in having a sustainable and painless data science workflow.

            The environment at hand has multiple red flags in my book:

            • conda-build should be in base and only in base
            • snakemake should be in a dedicated environment
            • notebook (i.e., Jupyter) should be in a dedicated environment, co-installed with nb_conda_kernels; all kernel environments need are ipykernel

            I'd probably also have the linting/formatting packages separated, but that's less an issue. The real killer though is snakemake - it's just a massive piece of infrastructure and I'd strongly encourage keeping that separated.



            Mysql Error while piping database to different server
            Asked 2021-Nov-28 at 19:48

            I have a strange error here. The command I am executing is this:



            Answered 2021-Nov-28 at 19:48

            By default, when you use mysqldump DB, the output includes table-creation statements, but no CREATE DATABASE statement. It just assumes you have created an empty schema first.

            So you could do this to create the schema first:



            Shell script to pull row counts from all Hive tables in multiple Hive databases
            Asked 2021-Nov-22 at 07:57

            I am trying to create a shell script that will pull row counts in all tables from multiple databases. All of the databases follow the same naming convention "the_same_databasename_<%>" except the final layer in the name, which varies. I am trying to run the following:

            use ; show tables; select count(*) from ;

            Since I have 40 different databases, I would need to run the first two queries for each database 40 different times, plus the select count query even more depending on how many table in the database (very time consuming). I have my PuTTy configuration settings set to save my PuTTy sessions into a .txt on my local directory, so I can have the row count results displayed right in my command line interface. So far this is what I have but not sure how to include the final commands to get the actual row counts from the tables in each database.



            Answered 2021-Nov-22 at 07:57

            You can use nested for-loop:



            See workspace in MATLAB command line terminal
            Asked 2021-Nov-20 at 09:18

            Is there any command to see all variable names, types and values in command line interface? Similar to Matlab's Workspace? I already know about command whos but it doesn't show the values, It just shows names and types.

            Thanks :)



            Answered 2021-Nov-20 at 09:18


            How can I fix "Failed to compile src/index.js 'firebase' is not defined no-undef"?
            Asked 2021-Nov-12 at 21:59

            I am trying to use a React web app to read and write stuff in a Firebase realtime database. Every time I run "npm run start", I get this error message.



            Answered 2021-Nov-12 at 21:59

            Recently, Firebase announced that version 9 of Firebase SDK JS is generally available. This was done to do some optimisations. Try using:



            Array of structs only takes last value in C
            Asked 2021-Nov-05 at 19:41

            I'm trying to make a simple command line interface, but i'm having a probleme for parsing commands :

            process_t is a structure contient the path of the command with arguments to be stored in the variable argv.



            Answered 2021-Nov-05 at 11:12

            You're trying to use the block-local array argv, which is recreated for every command and, what's worse, doesn't even exist any longer after parse_cmd has returned. An array object with sufficient lifetime has to be used; you can do this by changing



            How to detect if Python is running in Git Bash terminal, or Windows cmd?
            Asked 2021-Oct-17 at 16:37

            I'd like to give my Python scripts the ability to detect whether it was executed in a Git Bash terminal, or the Windows cmd command line interface. For example, I'm trying to write a function to clear the terminal (regardless of which terminal it is), e.g. echoes the clear command if in Git Bash, or cls if in cmd.

            I've tried using sys.platform to detect this, but it returns win32 regardless of which type of terminal it was ran in.



            Answered 2021-Oct-17 at 05:23

            I don't believe what you're asking for is possible, but there are several answers here that show all the detections you can do to use the correct type of clear. Usually, it's just best to either make your own window or not clear the screen, sadly.



            Connecting to MySQL server in a script returns error, but it works fine in a terminal
            Asked 2021-Oct-12 at 15:28

            I'm trying to write a bash script which will install and set up a MySQL server automatically. The problem is that when my script executes the following command:



            Answered 2021-Oct-12 at 15:28

            Well, I'm not entirely sure what was wrong, but I think it came down to one process not finishing before another process started. I inserted a sleep 5 in the script - just before the last line where I'm trying to connect to the server, and that worked. I also wrapped the line in a while loop, giving it up to 5 attempts to connect to the server, and if it fails, it will wait a further 5 seconds. Currently this seems to work fairly reliably and I am able to connect to the MySQL server.

            So either way the problem appears to be solved.



            Python 3 + Click: CLI arguments get butchered when calling one command from another
            Asked 2021-Sep-10 at 16:18

            I am using Python 3.9 and Click to build a small command line interface utility, but I am getting strange errors, specifically when I attempt to call one function decorated as a @click.command() from another function that is also decorated the same way.

            I have distilled my program down to the bare minimum to explain what I mean.

            This is my program



            Answered 2021-Sep-10 at 16:18

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


            No vulnerabilities reported

            Install redis-py

            redis-py requires a running Redis server. See Redis's quickstart for installation instructions. redis-py can be installed using pip similar to other Python packages. Do not use sudo with pip. It is usually good to work in a virtualenv or venv to avoid conflicts with other package managers and Python projects. For a quick introduction see Python Virtual Environments in Five Minutes.
            redis-py supports Python 3.7+. By default, all responses are returned as bytes in Python 3. If all string responses from a client should be decoded, the user can specify decode_responses=True in Redis.__init__. In this case, any Redis command that returns a string type will be decoded with the encoding specified. The default encoding is utf-8, but this can be customized by specifiying the encoding argument for the redis.Redis class. The encoding will be used to automatically encode any strings passed to commands, such as key names and values.


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