DAAQS

Detect Anomaly in Air Quality Station (DAAQS)

Clone the repository
Install the environment with the commands conda env create -f environment.yml
To activate the environment run conda activate DAAQS
Then go to the cfg.py file in DAAQS/utils
- set the cams_folder path A typical cams_folder will contain files like "particulate_matter_2.5um_2019-01-24.nc"
- set the openaq_folder path A typical openaq_folder will contain files like "2019-01-01/1514765764.ndjson.gz"
It is a good practice to create a plots folder in the main repository and save the plots there. plots is already added in gitignore.
Run the script run.py to test. It took 1200 seconds on our machine for 8 weeks so for 52 weeks it should take roughly 130 minutes now.

Name	Name	Last commit message	Last commit date
Latest commit itsmohitanand Merge pull request #8 from esowc/mohit Oct 23, 2020 141b4d9 · Oct 23, 2020 History 59 Commits
.venv	.venv	gzip	Jun 28, 2020
DAAQS	DAAQS	final commit	Oct 23, 2020
deliverables	deliverables	final commit	Oct 23, 2020
outputs	outputs	with output	Oct 23, 2020
.DS_Store	.DS_Store	removed .ndjson	Jun 11, 2020
.cdsapirc	.cdsapirc	reading OAQ	Jul 26, 2020
.gitignore	.gitignore	with output	Oct 23, 2020
.pre-commit-config.yaml	.pre-commit-config.yaml	added some initial setup files	May 29, 2020
LICENSE	LICENSE	Initial commit	May 26, 2020
README.md	README.md	updated readme 52 weeks	Sep 28, 2020
environment.yml	environment.yml	remove old scripts, check for unit	Sep 28, 2020
run.py	run.py	final commit	Oct 23, 2020
run_local.py	run_local.py	final commit	Oct 23, 2020
run_stats.py	run_stats.py	final commit	Oct 23, 2020

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