awsrun | execute commands over one or more AWS or Azure accounts | Command Line Interface library
kandi X-RAY | awsrun Summary
kandi X-RAY | awsrun Summary
Awsrun is both a CLI and Python package used to execute commands over one or more AWS accounts concurrently. Commands are user-defined Python modules that implement a simple interface to abstract away the complications of obtaining credentials for Boto3 sessions—especially when using SAML authentication and/or cross-account access. The key features of awsrun include the following:. Concurrent Account Processing: Run a command concurrently across subset or all of your accounts. A worker pool manages the execution to ensure accounts are processed quickly, so you don't have to wait for them to be processed one at a time. Process hundreds of accounts in a few minutes. SAML and Cross-Account Access: Tired of dealing with temporary STS credentials with SAML and cross-account authentication? Use any of the included credential plug-ins based on your needs, or build your own plug-in to provide credentials for your command authors. Don't use SAML? Build profiles in your AWS credentials file instead. Built-in Command for AWS CLI: Ever wish you could run the standard AWS CLI tool across multiple accounts? Now you can using the included aws command. This command is a simple wrapper for AWS's CLI tool, but with the added benefits of using metadata to select multiple accounts as well as simplified credential handling. User-Defined Commands: Build your own commands using the powerful Boto3 library without the hassle of obtaining sessions and credentials. Thanks to a simple interface, commands are easy to build and can be integrated directly into the CLI with custom arguments and help messages. Metadata Enriched Accounts: Accounts can be enriched with metadata from external sources, such as a corporate CMBD, via the account loader plug-in mechanism. This enables you to use metadata to select accounts to process rather than explicitly listing each account on the command line. In addition, command authors have access to this metadata, so it can be accessed while processing an account if needed.
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Top functions reviewed by kandi - BETA
- Return the main CLI
- Ask the user for confirmation
- Return the filename of the run
- Print list of accounts
- Setup the TUI widget
- Filter events
- Searches for nested dictionaries
- Returns True if the given string contains a string
- Create regional events from the CLI
- Initialize a policy from the given command line arguments
- Initialize the command line arguments
- Execute the Local Connect API
- Returns a list of accounts that match the given filters
- Collect results
- Execute the Azure CLI
- Extract the credentials from the SAML authentication response
- Create a regional instance from CLI arguments
- Instantiate the client
- Fetch the SAML assertion
- Parse account data
- Execute a regional command function
- Execute a function on accounts
- Establish credentials for a cross - account
- Get a metric from CWL
- Load all commands
- Register a config class
awsrun Key Features
awsrun Examples and Code Snippets
Community Discussions
Trending Discussions on Command Line Interface
QUESTION
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):
...ANSWER
Answered 2022-Feb-25 at 21:44With a modification of your main
:
QUESTION
I'm trying to install conda environment using the command:
...ANSWER
Answered 2021-Dec-22 at 18:02This 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 ModularizationI 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 basesnakemake
should be in a dedicated environmentnotebook
(i.e., Jupyter) should be in a dedicated environment, co-installed withnb_conda_kernels
; all kernel environments need areipykernel
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.
QUESTION
I have a strange error here. The command I am executing is this:
...ANSWER
Answered 2021-Nov-28 at 19:48By 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:
QUESTION
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.
...ANSWER
Answered 2021-Nov-22 at 07:57You can use nested for-loop:
QUESTION
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 :)
...ANSWER
Answered 2021-Nov-20 at 09:18try this:
QUESTION
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.
...ANSWER
Answered 2021-Nov-12 at 21:59Recently, Firebase announced that version 9 of Firebase SDK JS is generally available. This was done to do some optimisations. Try using:
QUESTION
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.
...ANSWER
Answered 2021-Nov-05 at 11:12You'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
QUESTION
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.
ANSWER
Answered 2021-Oct-17 at 05:23I 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.
QUESTION
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:
...ANSWER
Answered 2021-Oct-12 at 15:28Well, 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.
QUESTION
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
...ANSWER
Answered 2021-Sep-10 at 16:18Use the context operations to invoke other commands
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install awsrun
Out of the box, the utility of awsrun is limited as most of its power comes from the configuration of an account loader plug-in and a credential loader plug-in. With that said, however, you can still use it, as it will default to loading credentials from your $HOME/.aws/credentials file. While not convenient when managing hundreds of accounts, it will suffice to get you started. Assume you wanted to list the EC2 instances in two accounts: 100200300400 and 200300400100. We can use the built-in aws command to execute any AWS CLI command across one or more accounts concurrently. Be sure you have followed the installation instructions in the previous section. Then, create two profiles, [100200300400] and [200300400100], in your local AWS credentials file $HOME/.aws/credentials. If awsrun cannot find a profile for named for the specific account, it will fallback to the [default] profile. Note: The AWS credentials file is not part of awsrun, but it is used as the default mechanism to obtain credentials if more advanced options have not been configured. For help on the configuration of the AWS credential file, refer to AWS CLI Named Profiles.
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