Tylar 7yl4r

graph TD

subgraph st_andrew_assets_folder
    roi_hab1(seagrass)
    roi_hab2(sand)
    roi_hab3(etc...)
end

tail data.csv  # command not found in db, test-run, 
[...]
  > clai: no history matches.
  > clai: "tail" bash program found.
  > clai: "data.csv" local file found.
  > clai: "data.csv" new IPFS pin "Qm91njnpjKNGinv90aj".
  > clai: "data.csv"
  > clai: no fuzzy matches.
  > clai: running it.

Submitting Author: Name (@github_handle)
All current maintainers: (@ayushanand18, @7yl4r)
Package Name: pyOBIS
One-Line Description of Package: OBIS python client.
Repository Link: https://github.com/iobis/pyobis
Version submitted: 1.4.0
Editor: TBD
Reviewer 1: TBD
Reviewer 2: TBD
Archive: TBD

Package Review

As the reviewer I confirm that there are no conflicts of interest for me to review this work (If you are unsure whether you are in conflict, please speak to your editor before starting your review).

Documentation

The package includes all the following forms of documentation:

A statement of need clearly stating problems the software is designed to solve and its target audience in README.
Installation instructions: for the development version of the package and any non-standard dependencies in README.

ipfs is installed on all systems
local filesystem contains a cached version of the files on the local
a datastructure on the local is maintained to map each filepath to:
- an IPFS location
- metadata on the file?
accomplish this with git:
an .ipfs_cache/{filename} file is maintained for each file on the filesystem
the .ipfs_cache/ files are plain-text files which are used to keep the local cache updated

	original.analyte.name == "Ammonium" ~ "Ammonium",

	original.analyte.name == "Ammonia__N_" ~ "Ammonia",

	original.analyte.name == "Chlorophyll_a" ~ "Chlorophyll_a",
	original.analyte.name == "Chlorophyll_a-_uncorrected" ~ "Chlorophyll_a",
	original.analyte.name == "Chlorophyll_a__uncorrected_for_pheophytin" ~ "Chlorophyll_a"
	original.analyte.name == "Chlorophyll_a__free_of_pheophytin" ~ "Chlorophyll_a",
	original.analyte.name == "Chlorophyll_a-_corrected" ~ "Chlorophyll_a",
	original.analyte.name == "Chlorophyll_a__corrected_for_pheophytin" ~ "Chlorophyll_a",

	import re

	def canonical_station_name(station_name):
	station_aliases = {
	"1": ["1"],
	"2": ["2"],
	"3": ["3"],
	"4": ["4"],
	"5": ["5"],
	"5.5": ["5.5"],

	# === install java
	sudo apt install openjdk-21-jdk -y
	# check with `java --version`
	# === install mvn
	wget https://dlcdn.apache.org/maven/maven-3/3.9.8/binaries/apache-maven-3.9.8-bin.tar.gz
	tar -xvzf apache-maven-3.9.8-bin.tar.gz
	sudo mv apache-maven-3.9.8 /opt/apache-maven
	sudo sh -c 'echo "export M2_HOME=/opt/apache-maven" > /etc/profile.d/maven.sh'
	sudo sh -c 'echo "export MAVEN_HOME=/opt/apache-maven" >> /etc/profile.d/maven.sh'
	sudo sh -c 'echo "export PATH=\${M2_HOME}/bin:\${PATH}" >> /etc/profile.d/maven.sh'

	// PRVI LST Calc v24
	// There are multiple ways to calculate LST
	// 1. Cook paper method (directly available from files ("ST_B10" - see below)
	// 2. NDVI method (need to add)
	// 3. Old method w/atm. coefficients (see below)
	// Can we use the Lu and Ld to get LST the old way?
	// How to get emissivity and water content?
	// 4. Split-window method (will work with LS8?)

	// Some functions: