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A Sam-Packaged AWS Lambda client to the [scanii.com](https://scanii.com) content processing engine. For a detailed walk-through of deploying this application see: https://support.scanii.com/article/55-how-do-i-analyze-content-stored-on-amazon-s3.
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## How it works
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This is, essentially, a series of lambda functions packaged in a one-click deployable application that configures everything needed so your S3 objects are submitted automatically to scanii’s content analysis [API](https://docs.scanii.com/v2.1/overview.html). Once the content is processed, you can choose from a couple of different actions:
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This is, essentially, a series of lambda functions packaged in a one-click deployable application that configures everything needed so your S3 objects are submitted automatically to scanii’s content analysis [API](https://docs.scanii.com/v2.1/overview.html). Once the content is processed, you can choose from a couple of different actions:
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1. Tag the content - this is defaulted to on and adds the following tag to objects processed:
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1. `ScaniiId` -> the resource id of the processed content
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2. `ScaniiFindings` -> list of identified findings (content engine dependent)
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3. `ScaniiContentType` -> the identified content type of the file processed
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2. Delete object with findings - this is defaulted to **off** and will delete S3 objects with findings (such as malware or NSFW content) - for a full list of available content identification see https://support.scanii.com/article/20-content-detection-engines
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2. Delete the object with findings - this is defaulted to **off** and will delete S3 objects with findings (such as malware or NSFW content) - for a full list of available content identification see https://support.scanii.com/article/20-content-detection-engines
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## Working with the source code
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The source code for this application is written using Javascript and requires, at least, nodejs 8 to run. Before getting started we strongly advise you to become familiar with the following technologies:
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