Upload 6 files

0and2.py

@@ -0,0 +1,40 @@
+from flask import Flask, request
+from supabase import create_client, Client
+import os
+import pandas as pd
+
+app = Flask(__name__)
+data="0_0_On_0.00_0.00_Dry_0"
+
+@app.route('/receive_data', methods=['POST'])
+def receive_data():
+    data = request.form['data']
+    print("Received data:", data)
+    return "Data received by Python"
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=80, debug=True)
+
+
+data_list = data.split('_')
+#750_ON_0.00_0.00_Dry_356
+data_list = [int(data_list[0]),int(data_list[1]),(data_list[2]),data_list[3],float(data_list[4]),float(data_list[5]),data_list[6],int(data_list[7])]
+
+
+
+key= "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6Impxd3VtcHVucmV6aHF0ZHJ1cWJzIiwicm9sZSI6ImFub24iLCJpYXQiOjE3MTM5NTY5MTEsImV4cCI6MjAyOTUzMjkxMX0.0U4LdChmGtXxWnCODTWzQ8JgAgffkRcPhJ78x9s9rao"
+url= "https://jqwumpunrezhqtdruqbs.supabase.co"
+supabase: Client = create_client(url, key)
+
+
+
+#response = (
+#    supabase.table("colic")
+#    .insert({"id": 1, "name": "Denmark"})
+#    .execute()
+#)
+
+def update(ky037,speaker,light,wet,hum,temp):
+    data = supabase.table("sensors").update({"ky037": ky037, "speaker": speaker,"light": light, "Wet": wet, "humidity": hum, "Temp": temp}).eq("id", 18).execute()
+
+update(ky037,data_list[1],light,wet,hum,temp)

1_first.py

@@ -0,0 +1,24 @@
+from supabase import create_client, Client
+import os
+import pandas as pd
+
+key= "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6Impxd3VtcHVucmV6aHF0ZHJ1cWJzIiwicm9sZSI6ImFub24iLCJpYXQiOjE3MTM5NTY5MTEsImV4cCI6MjAyOTUzMjkxMX0.0U4LdChmGtXxWnCODTWzQ8JgAgffkRcPhJ78x9s9rao"
+url= "https://jqwumpunrezhqtdruqbs.supabase.co"
+supabase: Client = create_client(url, key)
+#response = (
+#    supabase.table("colic")
+#    .insert({"id": 1, "name": "Denmark"})
+#    .execute()
+#)
+
+ky037=0
+speaker=0
+light=0
+wet=0
+hum=0
+temp=0
+
+data = supabase.table("sensors").insert({"ky037": "1", "speaker": "2","light": "3", "Wet": "4", "humidity": "5", "Temp": "6"}).execute()
+
+# Assert we pulled real data.
+assert len(data.data) > 0

2_update_data.py

@@ -0,0 +1,31 @@
+from supabase import create_client, Client
+import os
+import pandas as pd
+
+key= "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6Impxd3VtcHVucmV6aHF0ZHJ1cWJzIiwicm9sZSI6ImFub24iLCJpYXQiOjE3MTM5NTY5MTEsImV4cCI6MjAyOTUzMjkxMX0.0U4LdChmGtXxWnCODTWzQ8JgAgffkRcPhJ78x9s9rao"
+url= "https://jqwumpunrezhqtdruqbs.supabase.co"
+supabase: Client = create_client(url, key)
+
+# receiver.py
+
+def process_data_and_return(data):
+    # Process the received data
+    processed_data = data.upper()  # Example processing
+    return processed_data
+
+#response = (
+#    supabase.table("colic")
+#    .insert({"id": 1, "name": "Denmark"})
+#    .execute()
+#)
+ky037="crying"
+speaker="on"
+light=0
+wet=0
+hum=27
+temp=24
+
+def update(ky037,speaker,light,wet,hum,temp):
+    data = supabase.table("sensors").update({"ky037": ky037, "speaker": speaker,"light": light, "Wet": wet, "humidity": hum, "Temp": temp}).eq("id", 18).execute()
+
+update(ky037,speaker,light,wet,hum,temp)

3_get_data_from_database.py

@@ -0,0 +1,31 @@
+from supabase import create_client, Client
+import pandas
+
+# Initialize Supabase client
+key= "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6Impxd3VtcHVucmV6aHF0ZHJ1cWJzIiwicm9sZSI6ImFub24iLCJpYXQiOjE3MTM5NTY5MTEsImV4cCI6MjAyOTUzMjkxMX0.0U4LdChmGtXxWnCODTWzQ8JgAgffkRcPhJ78x9s9rao"
+url= "https://jqwumpunrezhqtdruqbs.supabase.co"
+supabase: Client = create_client(url, key)
+
+response = supabase.table('sensors').select('*').execute()
+
+list_data=["id", "time", "ky037", "speaker", "light", "wet", "hum","temp"]
+
+for res in response:
+    #print(res[0])
+    if res[1] is not None:
+          for dict_res in res[1]:
+            #data_list=dict_res
+            i=0
+            for k,v in dict_res.items():
+                list_data[i]=v
+                i+=1
+                #print(f"{k} is {v}")
+#print(list_data)
+
+ky037=list_data[2]
+speaker=list_data[3]
+light=list_data[4]
+wet=list_data[5]
+hum=list_data[6]
+temp=list_data[7]
+#print(ky037,speaker,light,wet,hum,temp)

4_send_to_st.py

@@ -0,0 +1,76 @@
+import streamlit as st
+import pandas as pd
+from ard import data_list
+
+st.markdown("<h1 style='text-align: center;'> گهواره‌ی هوشمند </h1>", unsafe_allow_html=True) 
+
+st.markdown("<p style='text-align: center; font-size: 30px;'>:وضعیت</p>", unsafe_allow_html=True)
+
+
+# Create a slider with two discrete values (0 and 1)
+#on_off = st.slider("Speaker", 0, 1, step=1)
+
+
+# Display the state based on the slider value
+#if on_off:
+#    st.markdown("<p style='text-align: right; font-size: 20px;'>.بلندگو روشن است</p>", unsafe_allow_html=True)
+#    speaker="on"
+#else:
+#    st.markdown("<p style='text-align: right; font-size: 20px;'>.بلندگو خاموش است</p>", unsafe_allow_html=True)
+#    speaker="off"
+#750_ON_0.00_0.00_Dry_356
+ky037="ON"
+speaker="ON"
+print(ky037)
+light=600
+if light>= 1000:
+    light="تاریک"
+else:
+    light='روشن'
+
+if ky037=="ON" and light=="روشن":
+    st.markdown("<p style='text-align: center; font-size: 15px;'>.پیشنهاد می‌شود نور محیط را کم کنید</p>", unsafe_allow_html=True)
+    #st.text(".پیشنهاد می‌شود نور محیط را کم کنید")
+#if ky037=="cry" and speaker=="off":  
+#    st.markdown("<p style='text-align: center; font-size: 15px;'>.پیشنهاد می‌شود بلندگو را روشن کنید</p>", unsafe_allow_html=True)
+
+
+if ky037=="ON":
+    ky037=".کودک گریه می‌کند"
+else:
+    ky037=".کودک گریه نمی‌کند"
+
+
+
+wet=0
+if wet==0:
+    wet="Wet"
+    st.markdown("<p style='text-align: center; font-size: 15px;'>.زیرانداز کودک را عوض کنید</p>", unsafe_allow_html=True)
+else:
+    wet="Dry"
+
+hum=36.00
+temp=22.00
+if temp<20:
+    st.markdown("<p style='text-align: center; font-size: 15px;'>.اتاق سرد است</p>", unsafe_allow_html=True)
+elif temp>24:
+    st.markdown("<p style='text-align: center; font-size: 15px;'>.اتاق گرم است</p>", unsafe_allow_html=True)
+
+data = {
+    'وضعیت': [ky037,light,wet,hum,temp],
+    'سنسور': ['صدا', 'نور','تخت کودک','(%)رطوبت محیط','(^C)دمای محیط']
+}
+
+df = pd.DataFrame(data)
+
+
+# Customize the table height using CSS
+st.markdown("""
+<style>
+.stTable tr {
+    height: 50px;  # Adjust this value to change the row height
+}
+</style>
+""", unsafe_allow_html=True)
+
+st.table(df)

ard.py

@@ -0,0 +1,23 @@
+from flask import Flask, request, jsonify
+
+app = Flask(__name__)
+
+# Initialize global variable
+data = "755_0_ON_36.00_21.00_Dry_8"
+data_list = data.split('_')
+
+@app.route('/receive_data', methods=['POST'])
+def receive_data():
+    global data_list  # Reference the global variable
+    data = request.form['data']
+    print("Received data:", data)
+    data_list = data.split('_')
+    data_list = [data_list[0], data_list[1], data_list[2], data_list[3], data_list[4], data_list[5],data_list[6]]
+    return "Data received by Python"
+
+@app.route('/get_data', methods=['GET'])
+def get_data():
+    return jsonify(data_list)
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=80, debug=True)