Create a Node-RED node able to interact with Plant.id

[vongomben]

the call is based on this Documentation

`
"""
The purpose of this code is to show how to work with plant.id API.
You'll find API documentation at https://plantid.docs.apiary.io and https://plant.id/api
"""

import base64
import requests
from time import sleep

secret_access_key = '-- ask for one at business@plant.id --'

def send_for_identificattion(file_names):
files_encoded = []
for file_name in file_names:
with open(file_name, 'rb') as file:
files_encoded.append(base64.b64encode(file.read()).decode('ascii'))

params = {
	'latitude': 49.194161,
	'longitude': 16.603017,
	'week': 23,
	'images': files_encoded,
	'key': secret_access_key,
	'parameters': ["crops_fast"]
}
# see the docs for more optinal atrributes; for example 'custom_id' allows you to work
# with your own identifiers
headers = {
	'Content-Type': 'application/json'
}

response = requests.post('https://plant.id/api/identify', json=params, headers=headers)

if response.status_code != 200:
    raise("send_for_identificattion error: {}".format(response.text))

# this reference allows you to gather the identification result (once its ready)
return response.json().get('id')

def get_suggestions(request_id):
params = {
"key": secret_access_key,
"ids": [request_id]
}
headers = {
'Content-Type': 'application/json'
}

# To keep it simple, we are pooling the API waiting for the server to finish the identification.
# The better way would be to utilise "callback_url" parameter in /identify call to tell the our server 
# to call your's server enpoint once the identificatin is done.
while True:
	print("Waiting for suggestions...")
	sleep(5)
	resp = requests.post('https://plant.id/api/check_identifications', json=params, headers=headers).json()
	if resp[0]["suggestions"]:
		return resp[0]["suggestions"]

more photos of the same plant increases the accuracy

request_id = send_for_identificattion(['photo1.jpg','photo2.jpg'])

just listing the suggested plant names here (without the certainty values)

for suggestion in get_suggestions(request_id):
print(suggestion["plant"]["name"])
`