For example, all versions of Node.js are based on the Amazon Linux 2 Amazon Machine Images (AMI). I would normally recommend pinning python-dateutil to 2.8.0 to resolve the conflict, but I actually experimented locally and found that, even without boto3, the zip (55MB) is still over the 50MB zipped limit for Lambda. 3. After facing the issue myself, I read through the documentation and found the requirement on the path within the zip file that must be followed. AWS Lambda importError: Unable to import module 'lambda_function': No module named 'confluent_kafka.cimpl. Create an Amazon Elastic Compute Cloud (Amazon EC2) instance from an Amazon Linux 2 AMI. No no no, you have make this directory: python/lib/python3.8/site-packages/ {contents of the package}. Supported browsers are Chrome, Firefox, Edge, and Safari. The following example shows how to export results to a local variable and then run code in local mode: 1. Choose "AWS Layers" (choose a layer from a list of layers provided by AWS) AWSDataWrangler-Python37 (which includes pandas) If you're working with automation for the deployment, you'll want to find the ARN. Sign in cd sagemaker-installation Almost a year back I've used Sagemaker Python SDK in Lambda without any issues, the version it was 1.18.0 and size of the package was smaller. Removed "scipy>=0.19.0" in setup.py This question on stackoverflow lead me to the answer: aws - "Unable to import module" To prevent this issue, make sure to spin up an EC2 instance and build your virtualenv on an Amazon Linux. Unable to use this library in AWS Lambda due to package size exceeded max limit. Unable to import module 'lambda_function': No module named 'psycopg2' then i went ahead and build my lambda function by downloading the required package and then uploaded a zip file . Lambda Python Dependency Package ERROR Runtime.ImportModuleError: Unable to import module 'lambda_function': No module named 'surveys' 0. To confirm that the library works as expected, run a command that requires the library. @knakad This looks like a great solution and I'd like to implement it. when i try to call try the same to trigger the lambda i am getting If you don't need to run the code on the remote cluster or development endpoint, then use the local notebook instance instead. If the layer uses the same folder structure, your Lambda function's code can access the layer content without specifying the path. See aws-samples/aws-serverless-samfarm#5 (comment). Have a question about this project? To confirm that the library works as expected, run a command that requires the library. When you use the Sparkmagic kernel, the Amazon SageMaker notebook acts as an interface for the Apache Spark session that's running on a remote Amazon EMR cluster or an AWS Glue development endpoint. aws-samples/aws-serverless-samfarm#5 (comment). "errorMessage": "Unable to import module 'lambda_function': C extension: No module named 'pandas._libs.interval' not built. Check that python3 is installed. Create an Amazon Elastic Compute Cloud (Amazon EC2) instance from an Amazon Linux 2 . To solve the error, install the module by running the pip install PyMySQL command. 17 comments nemalipuri commented on Dec 26, 2019 13 Contributor knakad commented on Dec 27, 2019 knakad added the feature request label on Dec 27, 2019 Author nemalipuri commented on Dec 29, 2019 Contributor 6. Important: The library that you import for Node.js must be inside the nodejs/node_modules folder structure. Describe the problem or feature request clearly here. Already on GitHub? As mentioned in a issue I submitted to aws/aws-cli#6615, I am struggling to configure the docker build that occurs when running the aws stepfunction start-execution command, which I believe invokes a docker build in the other terminal running sam local start-lambda as per https://docs.aws.amazon.com/step-functions/latest/dg/sfn-local-lambda.html . Could I somehow reduce even more the sagemaker size? Install the aws-xray-sdk library into the nodejs folder: Note: Replace the aws-xray-sdk example library with the Node.js library that you want to import. Lambda requires global read permissions on code files and any dependent libraries in your deployment package. Important: Replace lambda-package.zip with the file name of your deployment package. To resolve this error, create a deployment package or Lambda layer that includes the libraries that you want to use in your Python code for Lambda. I tried your code but when testing the lambda function I got the following error: If anyone could provide insight into how to set up local testing of stepfunctions with multiple lambda functions with various modules and dependencies? to a folder --> zipped it --> uploaded to AWS lambda's layers. Thanks for your help on this, in advance. pip install into a directory (ex. From the error message, it seems that the Lambda function is unable to find the Handler method which is in the server.py file. -type d -name "__pycache__" -exec rm -rfv {} + The text was updated successfully, but these errors were encountered: SAM CLI will mount your CodeUri into the container. I have multiple of these Lambda functions, each composing a portion of a step function defined in a .json template, along with everything else in a cloudformation .json template. For more information, see the pyspark_mnist_kmeans example notebook on the AWS Labs GitHub repository. Note: To make all files and folders in the . To unpack the files and folders inside your deployment package to a temporary folder, run the following command in your CLI: Important: Replace lambda-package.zip with the file name of your deployment package. But avoid . here's one solution i tried: 1. git clone https://github.com/miserlou/lambda-packages 2. create a folder in documents called new_lambda 3. copy my lambda_function.py and the numpy folder from the lambda-packages into new_lambda, along with the scipy library that i compiled using docker for aws as per the article: Cloned sagemaker-python-sdk repo v1.49.0 Minimal repro / logs Note: In this example, the permissions of example.py is -r--------, or 400 in Unix permissions numeric notation, so the permissions for the file need to be updated to 644. Replace temp-folder with whatever name you'd like to give the new temporary folder. If that is the case you will have to add scipy to your layer as well using the same "trick" that I used to add the AWS Lambda Python 3.7 specific numpy library. It would be helpful if you could list down the steps to do this. To do this, you can boot up an EC2 instance (or a Linux instance anywhere else) and run the following set of commands: Use-case is build a ML model with custom container and implement Lambda functions for creating training job and endpoint creation. pip install -t <folder_path_here> lib1 lib2); (4) Zip all the contents ( zip -r lambda.zip .`); (5) Upload zip file to lambda; - fixatd Find instructions here. Update the permissions of the library's files. Sorry, though this issue is related to Lambda service limit I want to check is there anyway I can reduce the size of the dependencies? If this is too off-topic for this issue I am happy to open a new issue, I was directed here as the build process seems to be from the SAM CLI but the stepfunctions portion of the workflow if from the AWS CLI, please advise! @shlomi-schwartz Are you trying to import scipy in your Lambda function? How do I resolve these errors? privacy statement. Thanks! Currently, it seems to just build the image from some default settings, and I cant seem to configure it as I have with the individual tests. Add this layer to your lambda function and you should be able to import your modules flawlessly. Local mode runs the cell on the local notebook instance only. All rights reserved. It's a best practice to create a Lambda layer on the same operating system that your Lambda runtime is based on. zip -r sagemaker_lambda_light.zip . To check the permissions for all the files and folders within the deployment package .zip file, run the following zipinfo command in your command line interface (CLI): Important: Replace lambda-package.zip with your deployment package .zip file name. AWS support for Internet Explorer ends on 07/31/2022. Advertisement Answer The solution was zipping numpy and scipy precompiled packages from this source. To install libraries on a remote EMR cluster, you can use a bootstrap action when you create the cluster. Is there any date decided for the support in AWS Lambda for sagemaker-python-sdk ? If you use Windows for development and need to fix a permissions issue, you can set up a Linux environment by doing either of the following: Depending on the programing language used to write your Lambda function code, the cause of the error might not be clear in the error message. to your account. 5 Ways to Connect Wireless Headphones to TV. Note: Because Lambda uses POSIX permissions, it's a best practice to use a POSIX-compliant operating system when building Lambda deployment packages. For folders within a deployment package, the correct permissions setting is 755. You have created a model endpoint deployed and hosted by Amazon SageMaker. These permission denied and unable to import module errors most commonly occur when deployment packages are created by continuous integration applications. Steps I executed: @knakad do we need to manually zip sagemaker installation along with handler.py and upload it manually to s3? Do you need billing or technical support? Connect to the master node using SSH. The current structure that is used for local functional testing with sam build sam local invoke is as follows: This works correctly just using sam build and sam local invoke -e for functional testing, (and for debugging in VSCode after creating a launch.json. -t ./python -c ../requirements.txt) Note: Your EC2 instance now has permissions to upload Lambda layers for the publish-layer-version API call. When I try to upload my AWS Lambda deployment package, I get either a permission denied or unable to import module error. Then you called the endpoint using serverless architecture(an API Gateway and a Lambda function . mkdir temp-folder; unzip lambda-package.zip -d temp-folder ;cd temp-folder;ls -l. 2. By clicking Sign up for GitHub, you agree to our terms of service and I followed the steps you listed out, created a layer and attached it to my Lambda function, but I still get the error when I try and import sagemaker package in my lambda function: "errorMessage": "Unable to import module 'lambda_function': No module named 'sagemaker'". When you use pip to install the Python library on the notebook instance, the library is available only to the local notebook instance. It's a best practice to create a Lambda layer on the same operating system that your Lambda runtime is based on. Thanks :). To install libraries on a remote AWS Glue development endpoint, see Loading Python libraries in a development endpoint. However whenever I upload the .zip file to the lambda console I get the error: 5 1 { 2 "errorMessage": "Unable to import module 'lambda_function': No module named '*'", 3 "errorType": "Runtime.ImportModuleError" 4 Is there any date decided for the support in AWS Lambda for sagemaker-python-sdk ? Well occasionally send you account related emails. LambdaRuntime.ImportModuleError LambdaImport Runtime.ImportModuleError3 LambdaLambda EC2 Amazon Linux2 Python StepFunctions will invoke these Lambda services at scheduled times to automate workflow. This is because Lambda isn't prepackaged with all Node.js libraries. pip install . This was complicated enough when doing local testing using sam build and sam local invoke, so I fear it may not work when trying to run a step function composed of multiple lambdas locally using these tools. Zipped and uploaded into S3 For more information, see, Launch an Amazon Elastic Compute Cloud (Amazon EC2) instance using. 5. 4 comments pujabgl commented on Jul 26, 2018 edited Team, Pls. This worked for me, but I am looking forward to the actual support for SageMaker SDK in Lambda. you don't need to add all your lambdas into one directory. I used Virtualenv to install all my code's dependencies. This solution also doesn't require you to fork any of the code, so you can more easily run the latest sagemaker-python-sdk with the latest features/bug fixes. Click here to return to Amazon Web Services homepage, Windows subsystem for Linux installation guide for Windows 10, programing language used to write your Lambda function code, Update the permissions of the library's files, Install a Linux distribution on your PC (Windows 10 only). Here is the list of steps that I did to set up an Amazon Linux 2 environment for the installation of python-ldap: Checked Python Runtimes of Lambda and found Python 3.7 is running on Amazon. So the file structure on your host will not match what is in the container. I am not using scipy in my client code. For example, all versions of Node.js are based on the Amazon Linux 2 Amazon Machine Images (AMI). Answers related to "Unable to import module 'lambda_function': No module named 'lambda_function'" ModuleNotFoundError: No module named 'pandas' ModuleNotFoundError: No module named; ModuleNotFoundError: No module named 'matplotlib' no module named cv2; No module named 'matplotlib' ImportError: No module named flask; ImportError: No module . Confirm that the module is installed successfully: 4. For example, instead of installing matplotlib on each node of the Spark cluster, use local mode (%%local) to run the cell on the local notebook instance. -type d -name "tests" -exec rm -rfv {} + zipLambda AWS Layer.zip Layers lambda_function.py import requests def lambda_handler(event, context): # GET response = requests.get('https://httpbin.org/get', params={'foo': 'bar'}) return response.json() Note: The following commands work for Linux, Unix, and macOS operating systems only. Packaged the dependencies along with function code and when trying to create Lambda function it is throwing error 'Unzipped size must be smaller than 262144000 bytes'. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. I now realize that there is a conflict between my utils in my other layer and the utils in this repository, any suggestions for a fix? Please be sure to answer the question.Provide details and share your research! The problem was that the .so file was compiled on my local machine. You can read more about setting the Python Lambda Handler here in this documentation Are you using a custom image: no; Describe the problem. Until sagemaker-python-sdk is officially supported in AWS Lambda, here's a workaround that removes a bit of bloat from the installation, allowing it to fit in lambda without sacrificing any functionality: pip install sagemaker --target sagemaker-installation All rights reserved. Similarly, what are your sagemaker-python-sdk AWS Lambda use-cases? Any idea what could be causing the issue? Inside the SageMaker processing and training jobs as well as in inference endpoints. This is because you can reuse the Lambda layer across multiple Lambda functions. Unable to import module 'lambda_function': No module named 'lambda_function 0 Following a tutorial I'm attempting to create a lambda function that listens for an image being uploaded to an S3 bucket and then generates a thumbnail and places it in another S3 bucket. https://docs.aws.amazon.com/step-functions/latest/dg/sfn-local-lambda.html, also keep in mind to make all environment variables empty in the template.yaml needed for local testing, making environment variables (needed for local testing) empty in template.yaml feels hacky. Please try it out and let me know if you run into any issues =). 1. 2022, Amazon Web Services, Inc. or its affiliates. Surface Studio vs iMac - Which Should You Pick? +1 for not being able to create packages. I was able to upload the following zip along with a simple handler that called import sagemaker and some very basic validation. However, I keep on getting [ERROR] Runtime.ImportModuleError: Unable to import module 'lambda_function': No module named 'httplib2' even thought when I run my pyhon file locally with such libs being in the enviroment I don't get any error after calling import httplib2. 3. Click here to return to Amazon Web Services homepage, Loading Python libraries in a development endpoint. Note: To make all files and folders in the current directory readable by any user, run the following chmod command: 3. Click here to return to Amazon Web Services homepage, Create an Amazon Elastic Compute Cloud (Amazon EC2) instance from an Amazon Linux 2 AMI, Create an AWS Identity and Access Management (IAM) role. Why list comprehension of swapping cases work but a for loop does not; Featuretools TypeError: unhashable type: 'Int64Index' . find . I receive the "Unable to import module" error when I try to run my AWS Lambda code in Node.js. In your environment where you execute pipeline.start () - can be Amazon SageMaker Studio, your local machine or CI/CD pipeline executor, e. g. AWS CodeBuild. Lambda tries to look for the server.py file but it is unable to find it. Already on GitHub? Note: If the code that uses the library isnt compute intensive, you can use local mode (%%local). Open your terminal in your project's root directory and install the PyMySQL module. To create a Lambda layer for a Node.js library: 1. shell Looking forward to using SageMaker in Lambda once this is resolved. help me in the same. Do you need billing or technical support? Parity between the permissions model in your build environment and Lambda's runtime environment reduces the chance of permissions issues. Connect to the other cluster nodes using SSH, and then install the library on each node. Ensure that the instance runs AWS Linux. One of them being lxml.. Open the Amazon SageMaker notebook instance, and then restart the kernel. For jobs with heavy workloads, create a remote Spark cluster, and then connect it to the notebook instance. This example notebook uses the conda_python3 kernel and isn't backed by an EMR cluster. The Python "ModuleNotFoundError: No module named 'pymysql'" occurs when we forget to install the PyMySQL module before importing it or install it in an incorrect environment. Go to the Layers of Lambda in the AWS console and create a layer uploading this zip file. Documentation for ease of reference: https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html. Each Lambda runtime adds specific /opt directory folders to the PATH variable. Design Even in sagemaker-python-sdk library I see scipy used at one place only(src/sagemaker/amazon/common.py). I did try without boto3, botocare and scipy, but Lambda failed with error 'No module named 'numpy.core._multiarray_umath'. We can verify by again typing same command then the output will be: https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html. to your account, I'm trying to use Sagemaker Python SDK in Lambda to trigger train and deploy steps. Create an AWS Identity and Access Management (IAM) role with permissions to call the publish-layer-version API. Then, when I try to add the Scipy layer to the lambda I got the following error: "Function code combined with layers exceeds the maximum allowed size of 262144000 bytes. I have tried removing boto3 and botocare from function zip file since Lambda provides these libraries but it lead to different issue 'expecting python-dateutil<2.8.1,>=2.1', AWS Lambda error 'Unzipped size must be smaller than 262144000 bytes', Similarly, instead of Laye when packaged code with dependencies and uploading the zip file into Lambda function I received error 'Unzipped size must be smaller than 262144000 bytes'. Hurrah!! AWS support for Internet Explorer ends on 07/31/2022. In your case: files within src/sample/handler will live within /var/task on the container, which means src is not a valid module in lambda. To resolve the ModuleNotFoundError, install the library on the AWS Glue development endpoint or on each node of the EMR cluster. The text was updated successfully, but these errors were encountered: Unfortunately, running sagemaker-python-sdk in AWS Lambda is not currently supported. Have a question about this project? The current structure that is used for local functional testing with sam build sam local invoke is as follows: Parameters: EnvironmentName: Type: String Description: Environment name to prefix on resource names in this stack Memory: Type: Number Description: Memory (MB) allocated the lambda. Leaving this issue open to track the workaround and the feature request. I am not sure if the restructuring of the AWS SAM template will solve the issue of needing to install many dependencies in the container being used. [Example code]-Unable to import module 'lambda_function': No module named 'pandas' Related Posts. Install the library. An alternative is to remove numpy and scipy dependencies entirely for specific sagemaker installations, as they account for ~73% of the installation size. Create the setup.py file and add the install_requires parameter to list the modules that you want to import: from setuptools import setup setup ( name="redshift_module", version="0.1", packages= ['redshift_module'], install_requires= ['pyarrow','pandas','numpy','fastparquet'] ) 2. Here is a slightly updated version of the above that has proved to work for me: @arne-munch-ellingsen Thank you for the lead. here's one solution i tried: 1. git clone https://github.com/miserlou/lambda-packages 2. create a folder in documents called new_lambda 3. copy my lambda_function.py and the numpy folder from the lambda-packages into new_lambda, along with the scipy library that i compiled using docker for aws as per the article: building scikit-learn for aws Installing collected packages: py4j, pandas. I used pip to install the Python libraries, but I get the following error: "ModuleNotFoundError: No module named my_module_name.". Then upload lambda-deployment.zip to Lambda, further to @arne-munch-ellingsen's post, you can skip the download of the numpy whl and use the AWSLambda-Python37-SciPy1x layer provided by AWS (arn:aws:lambda:eu-west-2:142628438157:layer:AWSLambda-Python37-SciPy1x:35) instead. START RequestId: eb3e471e-90ce-11e8-a35a-4353714ca8b3 Version: $LATEST There are two options: python or python/lib/python3.8/site-packages. Response: { "errorMessage": "Unable to import module 'lambda_function': cannot import name '_ccallback_c' from 'scipy._lib' (/opt/python/scipy/_lib/__init__.py)", "errorType": "Runtime.ImportModuleError" }. Sign in Coding example for the question Unable to import module 'lambda_function': No module named 'pandas' . Scroll down in Code tab of Lambda console. Then you must zip the python folder at the top you just made, which you can then upload to layer and have it work. Successfully built pandas. If your Lambda deployment package isn't configured with the correct security permissions, then Lambda returns an error when you try to upload the file. Connect to your EC2 instance, and then install Node.js: 5. Asking for help, clarification, or responding to other answers. Thank you so much! Supported browsers are Chrome, Firefox, Edge, and Safari. All rights reserved. I m getting a "No module named 'sagemaker.pytorch'; 'sagemaker' is not a package" all the other packages are working except for this one. Update the permissions of the library's files. You signed in with another tab or window. Upload the new deployment package. If you could provide some workaround it would be great otherwise plan sdk(via boto3) is the only option I would have to implement sagemaker apis in Lambda. If you already connected an EMR cluster to the Amazon SageMaker notebook instance, then manually install the library on all cluster nodes: 1. Though I don't do through some of the difficult steps you've described, what I usually do is just (1) Create a folder; (2) Add python files in created folder; (3) Install dependencies directly on that folder (i.e. I'm trying to follow this tutorial about scheduling data wrangler processing jobs. "Unable to import module 'lambda_function': No module named 'requests_aws4auth" Code Answer aws lambda Unable to import module 'lambda_function': No module named 'requests' python by visualscrapper on May 26 2021 Comment 1 #requests library doesn't come by default in lambda. sudo python -m pip install pandas. This directly affects the CPU allocated Default: 512 . Example: 6. By clicking Sign up for GitHub, you agree to our terms of service and 'import sagemaker' failed with No module named 'numpy.core._multiarray_umath'. This is a pain point that we're aware of and for which we are working on prioritizing a solution. To resolve this error, create a deployment package or Lambda layer that includes the libraries that you want to use in your Node.js code for Lambda. Configure docker image for aws stepfunctions local. 2. [ERROR] Runtime.ImportModuleError: Unable to import module. Launch and connect to an EC2 instance, such as an EC2 micro instance. Lambda(Python) zip AWS"Unable to import module" Unable to import module '.': No module named . Thanks for contributing an answer to Stack Overflow! "Add Layer". 2. I installed the sagemaker package into a python folder, delete tests and __pycache__ folders, then zipped it up, loaded it to S3 and created a layer. AWS support for Internet Explorer ends on 07/31/2022. Note: The following steps show you how to create a Lambda layer rather than a deployment package. The actual size is 263682135 bytes.". Supported browsers are Chrome, Firefox, Edge, and Safari. Perfect, it worked after executing the above steps. 0. If you want to import pandas from the source directory, you may need to run 'python setup.py build_ext --inplace --force' to build the C extensions first." I am really not sure what is supposed to be going on here. . When using local mode, you don't have to install the library on the remote cluster or development endpoint. Write the logic in the lambda_function.py file. Anytime! Resolution 1. I created my lambda function uploading the zip file that was created following these commands: The zip file has around 35MB. privacy statement. Could this be an issue? mkdir package Install the libraries you want to use in Lambda. This is because Lambda isn't prepackaged with all Python libraries. Replace temp-folder with whatever name you'd like to give the new temporary folder. My local machine (where I ran your code) is Mac OS, any idea what am I missing? +1 to all of this! Choose the runtimes as per your python version that you are using in your lambda function, or you can select multiple python runtime versions. Do you need billing or technical support? Successfully installed py4j-0.10.9.2 pandas-3.2.0. Confirm that the module is installed successfully: python -c "import pandas as pd; print (pd.__version__)" 4. 2. How do I troubleshoot "permission denied" or "unable to import module" errors when uploading a Lambda deployment package? The correct permissions for all executable files within a Lambda deployment package is 644 in Unix permissions numeric notation. Then, attach the IAM role to the EC2 instance. find . In order for me to gauge the solution's viability, can you tell me if you will need numpy/scipy functionality when running sagemaker-python-sdk in AWS Lambda? Unable to import pysftp / paramiko through AWS lambda (facing different errors) 0. I'm trying to run an Amazon SageMaker notebook instance with the Sparkmagic (PySpark) kernel. February 9, 2021 If you receive the following error message when trying to run pymysql on AWS Lambda: Unable to import module "lambda_function": No module named "pymysql" then you can fix this by running a Custom Lambda Layer. Well occasionally send you account related emails. The Sagemaker SDK does not include scipy. To create a Lambda layer for a Node.js library: 1. 2022, Amazon Web Services, Inc. or its affiliates. also, how will the lambda function pick up the new zip file? You typically receive this error when your Lambda environment can't find the specified library in the Python code. In order to create a valid sagemaker SDK layer it is important to create the layer using an AWS compatible numpy version (since some numpy packages are binary). Unable to import module 'lambda_function': cannot import name 'show_config' Also, the precompiled lambda-packages says that they are compiled for "at least Python 2.7", but my lambda runtime is 3.6. If it is not installed, install it with sudo yum install python3 -y Make a directory for your local packages. These dependencies are installed in setup.py. Create a zip archive for the aws-xray-sdk library: Note: The aws-xray-sdk library is in the required folder format for a Node.js layer: nodejs/node_modules. @arne-munch-ellingsen Thanks for the tip, I was not calling scipy, it was one of the dependencies for sagemaker==1.71.1, but I used your trick and downloaded the .whl file, it works now! I don't get any hints in the logs in CloudWatch and it just looks like the function is not able to find the sagemaker package from the attached layer. You can manipulate data through Spark using a local SparkSession. Then, use the Amazon SageMaker Spark library for training and inference. Open the Amazon SageMaker notebook instance, and then restart the kernel. For example: Linux, Unix, or macOS. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Export the result to a local variable: You can also run a local Spark session on a notebook instance using the Amazon SageMaker Spark library. This example shows how to install pandas: 3. Another use-case came up now and when I trie to pull latest package the size is larger than unzipped limit(260MB). After fixing the permissions, repackage the files and folder into a new .zip file by running the following command: 4. This allows you to use SageMakerEstimator estimators in a Spark pipeline. I've done the following actions: Is it possible to use the aws stepfunctions local tool with multiple lambdas defined in this way? You signed in with another tab or window. Node.js Lambda function permission denied error example, Python Lambda function unable to import module error example, Python Lambda function unable to import module error for external libraries that are missing required permissions example. Step 1: Create Python Virtual Environment python3.9 -m venv test_venv Step 2: Activate Virtual Environment source test_venv/bin/activate Step 3: Check Python Version python --version Step 4: Create directory with name python mkdir python Step 5: Install pandas library in python directory created in Step 4 pip install pandas -t python Does anyone know how to deal with this? You will need to reconfigure your imports and your CodeUri to allow importing in Lambda's filesystems not your host. 2022, Amazon Web Services, Inc. or its affiliates. Closing this issue, since @jfuss has responded with the next steps. Note: the python3.8 folder should hopefully be abled to called whatever python version is available in the future. Unable to import module 'lambda_function': No module named * I am trying to run a python lambda function that uses additional packages. You typically receive this error when your Lambda environment can't find the specified library in the Node.js code. Which gives you the error you are seeing. Created a Layer and attached this layer to Lambda For example, a Node.js function error message lists the name of the file or folder that's the source of the error. 5. However, a Python function error message doesn't list the name of the file or folder that's the source of the error. After that, import sagemaker from the lambda function with the layer attached worked for me. 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