boto3 | Amazon Web Services Software Development Kit | AWS library

 by   boto Python Version: 1.34.73 License: Apache-2.0

kandi X-RAY | boto3 Summary

kandi X-RAY | boto3 Summary

boto3 is a Python library typically used in Cloud, AWS, Amazon S3 applications. boto3 has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install boto3' or download it from GitHub, PyPI.

AWS SDK for Python
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            kandi-support Support

              boto3 has a highly active ecosystem.
              It has 8140 star(s) with 1767 fork(s). There are 239 watchers for this library.
              There were 10 major release(s) in the last 6 months.
              There are 148 open issues and 2819 have been closed. On average issues are closed in 214 days. There are 24 open pull requests and 0 closed requests.
              OutlinedDot
              It has a negative sentiment in the developer community.
              The latest version of boto3 is 1.34.73

            kandi-Quality Quality

              boto3 has 0 bugs and 0 code smells.

            kandi-Security Security

              boto3 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              boto3 code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              boto3 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

              boto3 releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              boto3 saves you 2544 person hours of effort in developing the same functionality from scratch.
              It has 5531 lines of code, 501 functions and 39 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed boto3 and discovered the below as its top functions. This is intended to give you an instant insight into boto3 implemented functionality, and help decide if they suit your requirements.
            • Copy a key to a bucket
            • Creates a transfer manager
            • Return a copy of this resource
            • Load attributes from resource model
            • Create a property property
            • Create a property
            • Uploads a file to S3
            • Return a list of subscribers for the given callback
            • Upload a file to a bucket
            • Load waiters
            • List of Identifiers
            • Limit the results to count
            • Inject tags into an action
            • Recursively transform a structure
            • Returns a copy of this query
            • Loads all batch actions
            • Generate documentation for each service
            • Create load attributes
            • Return a copy of this QuerySet
            • Loads the has relations
            • Uploads a file to the bucket
            • Download a file from a bucket
            • Download a file from S3
            • Copy object to bucket
            • Copy a bucket
            • Download a file from the bucket
            Get all kandi verified functions for this library.

            boto3 Key Features

            No Key Features are available at this moment for boto3.

            boto3 Examples and Code Snippets

            s3-example-download-file.rst
            Pythondot img1Lines of Code : 7dot img1License : Permissive (Apache-2.0)
            copy iconCopy
            import boto3
            
            s3 = boto3.client('s3')
            s3.download_file('BUCKET_NAME', 'OBJECT_NAME', 'FILE_NAME')
            
            s3 = boto3.client('s3')
            with open('FILE_NAME', 'wb') as f:
                s3.download_fileobj('BUCKET_NAME', 'OBJECT_NAME', f)
              
            README.rst
            Pythondot img2Lines of Code : 6dot img2License : Permissive (Apache-2.0)
            copy iconCopy
            Documentation for boto3 can be found `here `_.
            
            Generating Documentation
            
            $ pip install -r requirements-docs.txt
            $ cd docs
            $ make html
              
            Testing Boto3 Client Calls
            Pythondot img3Lines of Code : 0dot img3License : Permissive (Apache-2.0)
            copy iconCopy
            import boto3
            from chalice import Chalice
            app = Chalice(app_name='testclient')
            _REKOGNITION_CLIENT = None
            def get_rekognition_client():
                global _REKOGNITION_CLIENT
                if _REKOGNITION_CLIENT is None:
                    _REKOGNITION_CLIENT = boto3.client('reko  
            copy iconCopy
            REPLACE INTO table1 (empid, empname, empaddress) VALUES (%s, %s, %s)
            
            copy iconCopy
            import os
            import logging
            import snowflake.connector
            from argparse import ArgumentParser
            from datetime import datetime
            from typing import Tuple
            import time
            from time import sleep
            import boto3
            import botocore
            import json
            import base64
            import
            list S3 objects till only first level
            Pythondot img6Lines of Code : 18dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            level1 = set()  #Using a set removes duplicates automatically 
            for key in s3_client.list_objects(Bucket='bucketname')['Contents']:
                    level1.add(key["Key"].split("/")[0])  #Here we only keep the first level of the key 
            
            #then print yo
            Django: Use makedirs in AWS S3
            Pythondot img7Lines of Code : 13dot img7License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            # s3 client
            import boto3
            s3_client = boto3.client('s3')
            s3_client.upload_file(local_file_name, bucket_name, key_in_s3)
            
            # s3 resource
            s3_resource = boto3.resource('s3')
            bucket = s3_resource.Bucket(bucket_name)
            bucke
            Python: Stream gzip files from s3
            Pythondot img8Lines of Code : 47dot img8License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import gzip
            
            class ConcatFileWrapper:
                def __init__(self, files):
                    self.files = iter(files)
                    self.current_file = next(self.files)
                def read(self, *args):
                    ret = self.current_file.read(*args)
                    if len(ret) =
            How to use f-Literal with PartiQL in AWS and boto3
            Pythondot img9Lines of Code : 5dot img9License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            PKey = 'c#12345'
            table_name = 'Onlineshop'
            stmt = f"SELECT * FROM {table_name} WHERE PK= '{PKey}' "
            resp = dynamodb.execute_statement(Statement= stmt)
            
            Reading a csv from S3 and uploading it back after updates
            Pythondot img10Lines of Code : 5dot img10License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            csv_buffer = io.StringIO()
            for line in existing_data:
                csv_buffer.write(','.join(line) + '\n')
            s3.put_object(Bucket=bucket_name, Key=myKey, Body=csv_buffer.getvalue())
            

            Community Discussions

            QUESTION

            Can I convert RDD to DataFrame in Glue?
            Asked 2022-Mar-20 at 13:58

            my lambda function triggers glue job by boto3 glue.start_job_run

            and here is my glue job script

            ...

            ANSWER

            Answered 2022-Mar-20 at 13:58

            You can't define schema types using toDF(). By using toDF() method, we don't have the control over schema customization. Having said that, using createDataFrame() method we have complete control over the schema customization.

            See below logic -

            Source https://stackoverflow.com/questions/71547278

            QUESTION

            How to fix SageMaker data-quality monitoring-schedule job that fails with 'FailureReason': 'Job inputs had no data'
            Asked 2022-Feb-26 at 04:38

            I am trying to schedule a data-quality monitoring job in AWS SageMaker by following steps mentioned in this AWS documentation page. I have enabled data-capture for my endpoint. Then, trained a baseline on my training csv file and statistics and constraints are available in S3 like this:

            ...

            ANSWER

            Answered 2022-Feb-26 at 04:38

            This happens, during the ground-truth-merge job, when the spark can't find any data either in '/opt/ml/processing/groundtruth/' or '/opt/ml/processing/input_data/' directories. And that can happen when either you haven't sent any requests to the sagemaker endpoint or there are no ground truths.

            I got this error because, the folder /opt/ml/processing/input_data/ of the docker volume mapped to the monitoring container had no data to process. And that happened because, the thing that facilitates entire process, including fetching data couldn't find any in S3. and that happened because, there was an extra slash(/) in the directory to which endpoint's captured-data will be saved. to elaborate, while creating the endpoint, I had mentioned the directory as s3:////, while it should have just been s3:///. so, while the thing that copies data from S3 to docker volume tried to fetch data of that hour, the directory it tried to extract the data from was s3://////////(notice the two slashes). So, when I created the endpoint-configuration again with the slash removed in S3 directory, this error wasn't present and ground-truth-merge operation was successful as part of model-quality-monitoring.

            I am answering this question because, someone read the question and upvoted it. meaning, someone else has faced this problem too. so, I have mentioned what worked for me. And I wrote this, so that StackExchange doesn't think I am spamming the forum with questions.

            Source https://stackoverflow.com/questions/69179914

            QUESTION

            how to connect an aws api gateway to a private lambda function inside a vpc
            Asked 2022-Feb-20 at 12:53

            I am trying to connect an aws api gateway to a lambda function residing in a VPC then retrieve the secret manager to access a database using python code with boto3. The database and vpc endpoint were created in a private subnet.

            lambda function ...

            ANSWER

            Answered 2022-Feb-19 at 21:44

            If you can call the Lambda function from API Gateway, then your question title "how to connect an aws api gateway to a private lambda function inside a vpc" is already complete and working.

            It appears that your actual problem is simply accessing Secrets Manager from inside a Lambda function running in a VPC.

            It's also strange that you are assigning a "db" security group to the Lambda function. What are the inbound/outbound rules of this Security Group?

            It is entirely unclear why you created a VPC endpoint. What are we supposed to make of service_name = "foo"? What is service "foo"? How is this VPC endpoint related to the Lambda function in any way? If this is supposed to be a VPC endpoint for Secrets Manager, then the service name should be "com.amazonaws.YOUR-REGION.secretsmanager".

            If you need more help you need to edit your question to provide the following: The inbound and outbound rules of any relevant security groups, and the Lambda function code that is trying to call SecretsManager.

            Update: After clarifications in comments and the updated question, I think the problem is you are missing any subnet assignments for the VPC Endpoint. Also, since you are adding a VPC policy with full access, you can just leave that out entirely, as the default policy is full access. I suggest changing the VPC endpoint to the following:

            Source https://stackoverflow.com/questions/71188858

            QUESTION

            Cannot find conda info. Please verify your conda installation on EMR
            Asked 2022-Feb-05 at 00:17

            I am trying to install conda on EMR and below is my bootstrap script, it looks like conda is getting installed but it is not getting added to environment variable. When I manually update the $PATH variable on EMR master node, it can identify conda. I want to use conda on Zeppelin.

            I also tried adding condig into configuration like below while launching my EMR instance however I still get the below mentioned error.

            ...

            ANSWER

            Answered 2022-Feb-05 at 00:17

            I got the conda working by modifying the script as below, emr python versions were colliding with the conda version.:

            Source https://stackoverflow.com/questions/70901724

            QUESTION

            Augmenting moto with mock patch where method is not yet implemented
            Asked 2022-Jan-28 at 10:09

            I am writing a lambda function that takes a list of CW Log Groups and runs an "export to s3" task on each of them.

            I am writing automated tests using pytest and I'm using moto.mock_logs (among others), but create_export_tasks() is not yet implemented (NotImplementedError).

            To continue using moto.mock_logs for all other methods, I am trying to patch just that single create_export_task() method using mock.patch, but it's unable to find the correct object to patch (ImportError).

            I successfully used mock.Mock() to provide me just the functionality that I need, but I'm wondering if I can do the same with mock.patch()?

            Working Code: lambda.py

            ...

            ANSWER

            Answered 2022-Jan-28 at 10:09

            I'm wondering if I can do the same with mock.patch()?

            Sure, by using mock.patch.object():

            Source https://stackoverflow.com/questions/70779261

            QUESTION

            Use string value for argument typed as Literal
            Asked 2022-Jan-26 at 17:45

            I use kms.decrypt() method from boto3 package. For typing support I use the boto3-stubs package.

            The decrypt method has attribute EncryptionAlgorithm, which is typed as

            ...

            ANSWER

            Answered 2021-Nov-14 at 17:00

            You can use typing.get_args to get the arguments passed in to typing.Literal. In this case, you'll need to combine it with typing.cast so you can signal to "mypy" that the string value that the function returns is an acceptable Literal value.

            Source https://stackoverflow.com/questions/69949169

            QUESTION

            How can I get output from boto3 ecs execute_command?
            Asked 2022-Jan-13 at 19:35

            I have an ECS task running on Fargate on which I want to run a command in boto3 and get back the output. I can do so in the awscli just fine.

            ...

            ANSWER

            Answered 2022-Jan-04 at 23:43

            Ok, basically by reading the ssm session manager plugin source code I came up with the following simplified reimplementation that is capable of just grabbing the command output: (you need to pip install websocket-client construct)

            Source https://stackoverflow.com/questions/70367030

            QUESTION

            boto3: execute_command inside python script
            Asked 2022-Jan-13 at 19:33

            I am trying to run a command to an ecs container managed by fargate. I can establish connection as well as execute successfully but I cannot get the response from said command inside my python script.

            ...

            ANSWER

            Answered 2021-Aug-05 at 14:20

            A quick solution is to use logging instead of pprint:

            Source https://stackoverflow.com/questions/68569452

            QUESTION

            AWS-CDK: Cross account Resource Access and Resource reference
            Asked 2021-Nov-17 at 05:05

            I have a secret key-value pair in Secrets Manager in Account-1 in us-east-1. This secret is encrypted using a Customer managed KMS key - let's call it KMS-Account-1. All this has been created via console.

            Now we turn to CDK. We have cdk.pipelines.CodePipeline which deploys Lambda to multiple stages/environments - so 1st to { Account-2, us-east-1 } then to { Account-3, eu-west-1 } and so on. This has been done.

            The lambda code in all stages/environments above, now needs to be changed to use the secret key-value pair present with Account-1's us-east-1 SecretsManager by getting it via secretsmanager client. That code should probably look like this (python):

            ...

            ANSWER

            Answered 2021-Nov-08 at 16:40

            This is bit tricky as CloudFormation, and hence CDK, doesn't allow cross account/cross stage references because CloudFormation export doesn't work cross account as far as my understanding goes. All these patterns of "centralised" resources fall into that category - ie. resource in one account (or a stage in CDK) referenced by other stages.

            If the resource is created outside the context of CDK (like via console), then you might as well hardcode the names/arns/etc. throughout the CDK code where its used and that should be sufficient.

            1. For resources that have the ability to hold resource based policies, it's simpler as you can just attach the cross-account access permissions to them directly - again, offline via console since you are maintaining it manually anyway. Each time you add a stage (account) to your pipeline, you will need to go to the resource and add cross-account permissions manually.
            2. For resources that don't have resource based policies, like SSM for eg., things are a bit roundabout as you will need to create a Role that can be assumed cross-account and then access the resource. In that case you will have to separately maintain the IAM Role too and manually update the trust policy to other accounts as you add stages to your CDK pipeline. Then, as usual hardcode the role arn in your CDK code, assume it in some CustomResource lambda and use it.

            It gets more interesting if the creation is also done in the CDK code itself (ie. managed by CloudFormation - not done separately via console/aws-cli etc.). In this case, many times you wouldn't "know" the exact ARNs as the physical-id would be generated by CloudFormation and likely be a part of the ARN. Even influencing the physical-id yourself (like by hardcoding the bucket name) might not solve it in all cases. Eg. KMS ARNs and SecretManager ARNs append unique-ids or some sort of hashes to the end of the ARN.

            Instead of trying to work all that out, it would be best left untouched and let CFn generate whatever random name/arn it chooses. To then reference these constructs/ARNs, just put them into SSM Parameters in the source/central account. SSM doesn't have resource based policy that I know of. So additionally create a role in cdk that trusts the accounts in your cdk code. Once done, there is no more maintenance - each time you add new environments/accounts to CDK (assuming its a cdk pipeline here), the "loop" construct that you will create will automatically add the new account into the trust relationship.

            Now all you need to do is to distribute this role-arn and the SSM Parameternames to other stages. Choose an explicit role-name and SSM Parameters. The manual ARN construction given a rolename is pretty straightforward. So distribute that and SSM Parameters around your CDK code to other stages (compile time strings instead of references). In target stages, create custom-resource(s) (AWSCustomResource) backed by AwsSdkCall lambda to simply assume this role-arn and make the SDK call to retrieve the SSM Parameter values. These values can be anything, like your KMS ARNs, SecretManager's full ARNs etc. which you couldn't easily guess. Now simply use these.

            Roundabout way to do a simple thing, but so far that is all I could do to get this to work.

            Source https://stackoverflow.com/questions/69844990

            QUESTION

            ImportError: cannot import name 'OP_NO_TICKET' from 'urllib3.util.ssl_'
            Asked 2021-Nov-08 at 22:41

            I started running airflow locally and while running docker specifically: docker-compose run -rm web server initdb I started seeing this error. I hadn't seen this issue prior to this afternoon, wondering if anyone else has come upon this.

            cannot import name 'OP_NO_TICKET' from 'urllib3.util.ssl_'

            ...

            ANSWER

            Answered 2021-Nov-08 at 22:41

            I have the same issue in my CI/CD using GitLab-CI. The awscli version 1.22.0 have this problem. I solved temporally the problem changed in my gitlab-ci file the line:

            pip install awscli --upgrade --user

            By:

            pip install awscli==1.21.12 --user

            Because when you call latest, the version that comes is 1.22.0

            Source https://stackoverflow.com/questions/69889936

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

            Vulnerabilities

            No vulnerabilities reported

            Install boto3

            You can install using 'pip install boto3' or download it from GitHub, PyPI.
            You can use boto3 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

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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