AlexaDeploymentSample | Sample project showing how to create an AWS | Cloud Functions library

by youngsoul Python Version: Current License: No License

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kandi X-RAY | AlexaDeploymentSample Summary

AlexaDeploymentSample is a Python library typically used in Serverless, Cloud Functions applications. AlexaDeploymentSample has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Sample project showing how to create an AWS Lambda function in Python for usage as an Alexa Skill

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AlexaDeploymentSample has a low active ecosystem.

It has 15 star(s) with 10 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

AlexaDeploymentSample has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of AlexaDeploymentSample is current.

Quality

AlexaDeploymentSample has 0 bugs and 0 code smells.

Security

AlexaDeploymentSample has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

AlexaDeploymentSample code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

AlexaDeploymentSample does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

AlexaDeploymentSample releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

AlexaDeploymentSample saves you 5663 person hours of effort in developing the same functionality from scratch.

It has 11848 lines of code, 715 functions and 91 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed AlexaDeploymentSample and discovered the below as its top functions. This is intended to give you an instant insight into AlexaDeploymentSample implemented functionality, and help decide if they suit your requirements.

Wrapper for urllib . urlopen
Send a request .
Resolve redirects .
Parse a URL .
Builds the digest of the request .
Make a request .
Prepare a URL .
Increment the counter .
Create headers dict .
Create an SSL context .

Get all kandi verified functions for this library.

AlexaDeploymentSample Key Features

No Key Features are available at this moment for AlexaDeploymentSample.

AlexaDeploymentSample Examples and Code Snippets

No Code Snippets are available at this moment for AlexaDeploymentSample.

Community Discussions

Trending Discussions on AlexaDeploymentSample

Trying to create a deployment file for AWS lambda

QUESTION

Trying to create a deployment file for AWS lambda

Asked 2017-Sep-20 at 11:32

I am trying to create a Alexa skill that tells me when the next train time is at my train station. I want to use a package called pygtfs which is a library that models information stored in Google's General Transit Feed Specification (GTFS) format. I have the files that process the json object sent from alexa and they work fine. I am having trouble making a zip deployment package to upload to aws lambda. I have a python script that creates a deployment package but I am getting an error. The error does not add the correct files to the deployment package.

...

ANSWER

Answered 2017-Sep-20 at 11:32

NVM i figured it out. The code I copied was using cp as the copy command for the subprocess. I looked up the command for my OS (windows 10) and it was COPY not cp. here is the new call to subprocess cmd = "COPY {0} {1}".format(deployment_file, os.path.abspath(deployment_dir)).split()

Source https://stackoverflow.com/questions/46268658

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

Vulnerabilities

No vulnerabilities reported

Install AlexaDeploymentSample

You can download it from GitHub.
You can use AlexaDeploymentSample 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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