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README.md SAM Local (Beta) sam is the AWS CLI tool for managing Serverless applications written with. SAM Local can be used to test functions locally, start a local API Gateway from a SAM template, validate a SAM template, and generate sample payloads for various event sources. • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • • Main features • Develop and test your Lambda functions locally with sam local and Docker • Invoke functions from known event sources such as Amazon S3, Amazon DynamoDB, Amazon Kinesis, etc. • Start local API Gateway from a SAM template, and quickly iterate over your functions with hot-reloading • Validate SAM templates Installation Prerequisites Running Serverless projects and functions locally with SAM Local requires Docker to be installed and running.

This will allow you to do official activation on an iPhone without a stock SIM - it MAY help with Battery Drain issues, but that is NOT the primary purpose of this. This is pointless on anything but an iPhone. Add as a repo in Cydia; Install 'SAM' and 'SAMPrefs'; Follow the steps in. /r/jailbreak does not allow piracy tools, sources, or websites. No pirated tweaks, apps, etc. Please also do not post or advertise products or services that are in violation of the trademarks of others or mirrors. Themes (and theme-related questions or news), setup showcases, and all questions regarding.

SAM Local will use the DOCKER_HOST environment variable to contact the docker daemon. • macOS: • Windows: • Linux: Check your distro’s package manager (e.g. Yum install docker) For macOS and Windows users: SAM local requires that the project directory (or any parent directory) is listed in Docker file sharing options.

Verify that docker is working, and that you can run docker commands from the CLI (e.g. ‘docker ps’). You do not need to install/fetch/pull any containers – SAM Local will do it automatically as required. Windows, Linux, macOS with NPM [Recommended] The easiest way to install sam is to use. Aws-sam-local --help Usage sam requires a SAM template in order to know how to invoke your function locally, and it's also true for spawning API Gateway locally - If no template is specified template.yaml will be used instead.

You can find sample SAM templates either under samples located in this repo or by visiting official repository. Invoke functions locally You can invoke your function locally by passing its SAM logical ID and an event file. Alternatively, sam local invoke accepts stdin as an event too. # Invoke a function locally and connect to a docker network $ sam local invoke --docker-network my-custom-network # Start local API Gateway and connect all containers to a docker network $ sam local start-api --docker-network b1 -d 5858 Validate SAM templates Validate your templates with $ sam validate. This command will validate your template against the official.

As with most SAM Local commands, it will look for a template.yaml file in your current working directory by default. You can specify a different template file/location with the -t or --template option. $ sam validate ERROR: Resource 'HelloWorld ', property 'Runtime ': Invalid value node.

Valid values are 'nodejs ', 'nodejs4.3 ', 'nodejs6.10 ', 'java8 ', 'python2.7 ', 'python3.6 ', 'dotnetcore1.0 ', 'nodejs4.3-edge ' (line: 11; col: 6) # Let's fix that error. $ sed -i 's/node/nodejs6.10/g ' template.yaml $ sam validate Valid!

Package and Deploy to Lambda Once you have developed and tested your Serverless application locally, you can deploy to Lambda using sam package and sam deploy command. Package command will zip your code artifacts, upload to S3 and produce a SAM file that is ready to be deployed to Lambda using AWS CloudFormation. Deploy command will deploy the packaged SAM template to CloudFormation. Both sam package and sam deploy are identical to their AWS CLI equivalents commands and respectively. Please consult the AWS CLI command documentation for usage. Resources: MyFunction1: Type: AWS::Serverless::Function Properties: Handler: index.handler Runtime: nodejs4.3 Environment: Variables: TABLE_NAME: prodtable BUCKET_NAME: prodbucket MyFunction2: Type: AWS::Serverless::Function Properties: Handler: app.handler Runtime: nodejs4.3 Environment: Variables: STAGE: prod TABLE_NAME: prodtable Environment Variable file Use --env-vars argument of invoke or start-api commands to provide a JSON file that contains values for environment variables defined in your function. The file should be structured as follows.

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$ TABLE_NAME=mytable sam local start-api Combination of Shell and Environment Variable file For greater control, you can use a combination shell variables and external environment variable file. If a variable is defined in both places, the one from the file will override the shell. Here is the order of priority, highest to lowest. Download Driver Printer Canon Pixma Mp237 Free. Higher priority ones will override the lower.

• Environment Variable file • Shell's environment • Hard-coded values from the template Identifying local execution from Lambda function code When your Lambda function is invoked using SAM Local, it sets an environment variable AWS_SAM_LOCAL=true in the Docker container. Your Lambda function can use this property to enable or disable functionality that would not make sense in local development.

For example: Disable emitting metrics to CloudWatch (or) Enable verbose logging etc. Static Assets Often, it's useful to serve up static assets (e.g CSS/HTML/Javascript etc) when developing a Serverless application. On AWS, this would normally be done with CloudFront/S3. SAM Local by default looks for a./public/ directory in your SAM project directory and will serve up all files from it at the root of the HTTP server when using sam local start-api. You can override the default static asset directory by using the -s or --static-dir command line flag. You can also disable this behaviour completely by setting --static-dir '. Local Logging Both invoke and start-api command allow you to pipe logs from the function's invocation into a file.

This will be useful if you are running automated tests against SAM Local and want to capture logs for analysis. $ sam local invoke --log-file./output.log Remote Docker Sam Local loads function code by mounting filesystem to a Docker Volume. As a result, The project directory must be pre-mounted on the remote host where the Docker is running.

If mounted, you can use the remote docker normally using --docker-volume-basedir or environment variable SAM_DOCKER_VOLUME_BASEDIR. Example - Docker Toolbox (Windows): When you install and run Docker Toolbox, the Linux VM with Docker is automatically installed in the virtual box. The /c/ path for this Linux VM is automatically shared with C: on the host machine. Sam local invoke --docker -volume -basedir /c /Users /shlee322 /projects /test 'Ratings' Project Status • Supported AWS Lambda Runtimes • nodejs • nodejs4.3 • nodejs6.10 • java8 • python2.7 • python3.6 • dotnetcore1.0 • AWS credential support • Debugging support • Inline Swagger support within SAM templates Contributing Contributions and feedback are welcome! Proposals and pull requests will be considered and responded to. For more information, see the file. A special thank you SAM Local uses the open source Docker images created.

Examples You can find sample functions code and a SAM template used in this README under the folder within this repo.

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