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This repo is used to Processing Daily AirQuality data

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Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
src		src
.dockerignore		.dockerignore
.gitignore		.gitignore
Dockerfile		Dockerfile
Dockerfile_old		Dockerfile_old
README.md		README.md
app.py		app.py
config.py		config.py
package.py		package.py
process.py		process.py
requirements.txt		requirements.txt
serverless.yml		serverless.yml

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AirQuality_pipeline

This repo is used to Processing Daily AirQuality data

Layers

There are 2 layers whic are to be added

arn:aws:lambda:us-east-1:552188055668:layer:geolambda:4
arn:aws:lambda:us-east-1:552188055668:layer:geolambda-python:3

How to deploy

Use python 3.7 with geolambda4 layer only, 3.6 and 3.8 doesn't work
Create Zip using Docker
- docker build -t silam .
- docker run --name lambda -w /var/task -itd silam:latest bash
- Check the ID of container
- docker cp lambda:/tmp/package.zip notebook/silam-package.zip
- Finally upload zip to S3
- aws s3 cp notebook/silam-package.zip s3://temp-test-gdal-bucket
Manually add cogconverter, wget library to the package