Add al files from local folder

Influxclient.py

@@ -0,0 +1,114 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Mon Oct 17 13:45:38 2022
+
+@author: Daniel Häfliger
+"""
+
+import pandas as pd
+import math
+import requests, json
+from datetime import datetime, date, time
+
+# Convert a date and time to to complex numbers 
+# [year_real, year_imag, day_real, day_imag]
+def Convert_Date(atime):
+    
+    y_r = math.sin(atime.timetuple().tm_yday/365*2*math.pi)
+    y_i = math.cos(atime.timetuple().tm_yday/365*2*math.pi)
+    d_r = math.sin((atime.hour*3600+atime.minute*60+atime.second)/((24*3600))*2*math.pi)
+    d_i = math.cos((atime.hour*3600+atime.minute*60+atime.second)/((24*3600))*2*math.pi)
+    return [y_r, y_i, d_r, d_i] 
+
+
+# Return a list of datas of a specified measurement of an influxDB
+def Get_Value(client, bucket, atime, measurement, datapoint):
+    
+    query_api = client.query_api()
+    query = 'from(bucket:"'+bucket+'")\
+    |> range(start: -'+atime+')\
+    |> filter(fn:(r) => r._field == "'+datapoint+'" )\
+    |> filter(fn:(r) => r._measurement == "'+measurement+'" )'
+    result = query_api.query(org=client.org, query=query)
+    thelist = []
+    for table in result:
+        for record in table.records:
+            thelist.append((record.get_value()))
+    return thelist
+
+
+# Return the time of datas of a specified measurement of an influxDB
+def Get_Time(client, bucket, atime, measurement, datapoint):
+    
+    query_api = client.query_api()
+    query = 'from(bucket:"'+bucket+'")\
+    |> range(start: -'+atime+')\
+    |> filter(fn:(r) => r._field == "'+datapoint+'" )\
+    |> filter(fn:(r) => r._measurement == "'+measurement+'" )'
+    result = query_api.query(org=client.org, query=query)
+    thelist = []
+    for table in result:
+        for record in table.records:
+            thelist.append((record.get_time()))
+            
+            
+    a=[]
+    b=[]
+    c=[]
+    d=[]
+    
+    for i in thelist:
+        x = Convert_Date(i)
+        a.append(x[0])
+        b.append(x[1])
+        c.append(x[2])
+        d.append(x[3])        
+            
+            
+            
+    return [a,b,c,d,thelist]
+
+
+
+
+# Need duration in hours, interval in minutes
+# Retruns array with complex time, timestamp and prediction
+# Works only for max 3 days due api returns only values until then
+def GetPrediction(duration, intervall, datapoint): 
+    
+    xfile = pd.read_xml('config.xml')
+
+    apikey = (xfile.loc[xfile['category'] == 'influx'].weatherapitoken[0])
+    place = (xfile.loc[xfile['category'] == 'influx'].place[0])
+    dats = requests.get("https://api.weatherapi.com/v1/forecast.json?key="+apikey+"&q="+place+"&days=3&aqi=yes&alerts=no")
+    dats=json.loads(dats.content)
+
+    a=[]
+    b=[]
+    c=[]
+    d=[]
+    e=[]
+    f=[]
+    now = datetime.now()
+    daycounter = 0
+    lasthour=now.hour
+    for i in range(0, int(duration*60/intervall)):  
+
+      now = datetime.timestamp(now)+(intervall*60)
+      now = datetime.fromtimestamp(now)
+
+      x = Convert_Date(now)
+      a.append(x[0])
+      b.append(x[1])
+      c.append(x[2])
+      d.append(x[3])        
+      e.append(now)
+      bc = dats["forecast"]["forecastday"][daycounter]["hour"][now.hour][datapoint]
+      
+      f.append(bc)
+      if lasthour>now.hour:
+          daycounter+=1
+      
+      lasthour=now.hour
+      
+    return[a,b,c,d,e,f]