| | from supabase import create_client, Client
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| | import pandas
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| |
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| |
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| | key= "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6Impxd3VtcHVucmV6aHF0ZHJ1cWJzIiwicm9sZSI6ImFub24iLCJpYXQiOjE3MTM5NTY5MTEsImV4cCI6MjAyOTUzMjkxMX0.0U4LdChmGtXxWnCODTWzQ8JgAgffkRcPhJ78x9s9rao"
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| | url= "https://jqwumpunrezhqtdruqbs.supabase.co"
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| | supabase: Client = create_client(url, key)
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| |
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| | response = supabase.table('sensors').select('*').execute()
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| |
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| | list_data=["id", "time", "ky037", "speaker", "light", "wet", "hum","temp"]
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| |
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| | for res in response:
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| |
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| | if res[1] is not None:
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| | for dict_res in res[1]:
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| |
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| | i=0
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| | for k,v in dict_res.items():
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| | list_data[i]=v
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| | i+=1
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| |
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| |
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| |
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| | ky037=list_data[2]
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| | speaker=list_data[3]
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| | light=list_data[4]
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| | wet=list_data[5]
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| | hum=list_data[6]
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| | temp=list_data[7]
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