Created
May 18, 2016 20:55
-
-
Save Tafkas/673a56d8f836820f6138dd8d535c88c8 to your computer and use it in GitHub Desktop.
A script to fetch data from a Kostal Piko 5 inverter
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/usr/local/bin/python | |
# encoding: utf-8 | |
""" | |
collect_kostal.py | |
Created by Christian Stade-Schuldt on 2014-07-27. | |
""" | |
import urllib2 | |
import datetime | |
from lxml import html | |
import sqlite3 | |
URL = 'http://192.168.1.125' # use your address | |
USERNAME = 'your_username' | |
PASSWORD = 'your_password' | |
def get_data(): | |
"""reads the data from the kostal inverter""" | |
password_mgr = urllib2.HTTPPasswordMgrWithDefaultRealm() | |
top_level_url = URL | |
username = USERNAME | |
password = PASSWORD | |
password_mgr.add_password(None, top_level_url, username, password) | |
handler = urllib2.HTTPBasicAuthHandler(password_mgr) | |
opener = urllib2.build_opener(handler) | |
opener.open(URL) | |
urllib2.install_opener(opener) | |
response = urllib2.urlopen(URL) | |
root = html.fromstring(response.read().strip()) | |
data = [v.text.strip() for v in root.xpath("//td[@bgcolor='#FFFFFF']")] | |
current_power = data[0] | |
total_energy = data[1] | |
daily_energy = data[2] | |
dc_u_1 = data[3] | |
ac_u_1 = data[4] | |
dc_i_1 = data[5] | |
ac_p_1 = data[6] | |
dc_u_2 = data[7] | |
ac_u_2 = data[8] | |
dc_i_2 = data[9] | |
ac_p_2 = data[10] | |
dc_u_3 = data[11] | |
ac_u_3 = data[12] | |
dc_i_3 = data[13] | |
ac_p_3 = data[14] | |
data = [dc_u_1, dc_i_1, ac_u_1, ac_p_1, dc_u_2, dc_i_2, ac_u_2, ac_p_2, dc_u_3, dc_i_3, ac_u_3, ac_p_3, | |
current_power, daily_energy, total_energy] | |
return data | |
def save_data_to_db(data): | |
"""saves the data tuple to the database""" | |
con = sqlite3.connect("PATH_TO_SQLITE_FILE") | |
con.isolation_level = None | |
cur = con.cursor() | |
query = '''INSERT INTO pvdata VALUES (null, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)''' | |
cur.execute(query, tuple([datetime.datetime.now().isoformat()] + data)) | |
con.commit() | |
con.close() | |
def is_number(s): | |
"""checks if input is a valid number """ | |
try: | |
int(s) | |
return True | |
except ValueError: | |
return False | |
def main(): | |
data = get_data() | |
if is_number(data[0]): | |
save_data_to_db(data) | |
if __name__ == '__main__': | |
main() |
II had to fix read_data(ID_Code):
def read_data(ID_Code):
"""reads the data out from the PiKo Inverter were ID_Code is the ID Code"""
URL = ('http://'+IPAdresse+'/api/dxs.json?dxsEntries='+ID_Code)
response_open = urllib2.urlopen(URL)
response = response_open.read()
FILTER_STR = 'value'
result = response.split('value":') [1]
result = result.split('}],') [0]
result_float = float(result)
return(result_float)
@wagro ... Thank you ... your script is very helpful.
But could you say me, where I can find the codes like (ID_DC1Spannung = '33555202' # in V)
I need "Externer Stromsensor Phase 1-3 & Ladeszustand Batterie"
Thank you
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
I solved it by myself.... It's not perfect.... but it works:
#!/usr/local/bin/python
encoding: utf-8
"""
collect_kostal.py
Created by Christian Stade-Schuldt on 2014-07-27.
Updated by Walter Grossenbacher on 2018-12-30 for new webserver
"""
import urllib2
import datetime
from lxml import html
import sqlite3
IPAdresse = '192.168.1.200'
#Leistungswerte
ID_DCEingangGesamt = '33556736' # in W
ID_Ausgangsleistung = '67109120' # in W
ID_Eigenverbrauch = '83888128' # in W
#Status
ID_Status = '16780032' # 0:Off, 1:Leerlauf, 2:Anfahren, 3:Einspeisen MPP, 4:Abgeregelt, 5:Einspeisen
#Statistik - Tag
ID_Ertrag_d = '251658754' # in Wh
ID_Hausverbrauch_d = '251659010' # in Wh
ID_Eigenverbrauch_d = '251659266' # in Wh
ID_Eigenverbrauchsquote_d = '251659278' # in %
ID_Autarkiegrad_d = '251659279' # in %
#Statistik - Gesamt
ID_Ertrag_G = '251658753' # in kWh
ID_Hausverbrauch_G = '251659009' # in kWh
ID_Eigenverbrauch_G = '251659265' # in kWh
ID_Eigenverbrauchsquote_G = '251659280' # in %
ID_Autarkiegrad_G = '251659281' # in %
ID_Betriebszeit = '251658496' # in h
#Momentanwerte - PV Genertor
ID_DC1Spannung = '33555202' # in V
ID_DC1Strom = '33555201' # in A
ID_DC1Leistung = '33555203' # in W
ID_DC2Spannung = '33555458' # in V
ID_DC2Strom = '33555457' # in A
ID_DC2Leistung = '33555459' # in W
ID_DC3Spannung = '33555714' # in V
ID_DC3Strom = '33555713' # in A
ID_DC3Leistung = '33555715' # in W
#Momentanwerte Haus
ID_HausverbrauchSolar = '83886336' # in W
ID_HausverbrauchBatterie = '83886592' # in W
ID_HausverbrauchNetz = '83886848' # in W
ID_HausverbrauchPhase1 = '83887106' # in W
ID_HausverbrauchPhase2 = '83887362' # in W
ID_HausverbrauchPhase3 = '83887618' # in W
#Netz Netzparameter
ID_NetzAusgangLeistung = '67109120' # in W
ID_NetzFrequenz = '67110400' # in Hz
ID_NetzCosPhi = '67110656'
#Netz Phase 1
ID_P1Spannung = '67109378' # in V
ID_P1Strom = '67109377' # in A
ID_P1Leistung = '67109379' # in W
#Netz Phase 2
ID_P2Spannung = '67109634' # in V
ID_P2Strom = '67109633' # in A
ID_P2Leistung = '67109635' # in W
#Netz Phase 3
ID_P3Spannung = '67109890' # in V
ID_P3Strom = '67109889' # in A
ID_P3Leistung = '67109891' # in W
def read_data(ID_Code):
"""reads the data out from the PiKo Inverter were ID_Code is the ID Code"""
def get_data():
"""prepares the data for processing"""
def save_data_to_db(data):
"""saves the data tuple to the database"""
con = sqlite3.connect("/home/pi/solarpi/dev.db")
def is_number(s):
"""checks if input is a valid number """
try:
int(s)
return True
except ValueError:
return False
def main():
data = get_data()
if is_number(data[0]):
save_data_to_db(data)
if name == 'main':
main()