Frontend weiterarbeit, Client Server datenaustausch und sync, fertiggestellt.

This commit is contained in:
2024-04-19 16:48:23 +02:00
parent 04ad35a91f
commit cd2f302eb1
11 changed files with 228 additions and 112 deletions

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@@ -15,65 +15,59 @@ class JsonHandling:
return data["metadata"]["config_has_changed"] == "1"
class DataCollector:
def __init__(self):
self.data = {"timestamps": []}
self.data = {}
self.now = datetime.datetime.now()
def collect_and_store_data(self, producer_values, meter_values, user_values):
print("a")
def collect_and_store_data(self, producer_values, meter_values, user_values, last_data=None):
# Überprüfe, ob die Minute gleich geblieben ist, um Daten zu sammeln
if self.now.minute == datetime.datetime.now().minute:
print("b")
return
self.now = datetime.datetime.now()
print("cccccccc")
# Aktuellen Zeitstempel holen
timestamp = self.now.strftime("%Y-%m-%d %H:%M")
self.data["timestamps"].append(timestamp)
# Werte für Produzenten hinzufügen
for producer_id, values in producer_values.items():
if producer_id not in self.data:
self.data[producer_id] = {}
self.data[producer_id]["values"] = self.update_values(self.data[producer_id].get("values", {}), values)
self.data[timestamp] = {
"producer_values": {},
"meter_values": {},
"user_values": {}
}
# Werte für Meter hinzufügen
for meter_id, values in meter_values.items():
if meter_id not in self.data:
self.data[meter_id] = {}
self.data[meter_id]["values"] = self.update_values(self.data[meter_id].get("values", {}), values)
# Alle Werte in ein einzelnes Dictionary zusammenführen
all_values = {"producer_values": producer_values, "meter_values": meter_values, "user_values": user_values}
# Werte für Benutzer hinzufügen
for user_id, values in user_values.items():
if user_id not in self.data:
self.data[user_id] = {}
self.data[user_id]["values"] = self.update_values(self.data[user_id].get("values", {}), values)
# Alle Werte aktualisieren
for key, values in all_values.items():
self.update_values(self.data[timestamp][key], values)
# Begrenzung der Daten auf die letzten 24 Stunden (1440 Minuten)
if len(self.data["timestamps"]) > 1440:
self.data["timestamps"].pop(0)
for key in self.data.keys():
if key != "timestamps":
for value_key in self.data[key]["values"]:
self.data[key]["values"][value_key].pop(0)
# Filtere Werte basierend auf dem letzten mitgegebenen Zeitstempel
if last_data:
# Konvertiere den letzten Zeitstempel in ein datetime-Objekt
last_data = datetime.datetime.strptime(last_data, "%Y-%m-%d %H:%M")
# Entferne alle Einträge in self.data, die vor dem letzten Zeitstempel liegen
self.data = {ts: values for ts, values in self.data.items() if datetime.datetime.strptime(ts, "%Y-%m-%d %H:%M") > last_data}
if os.path.exists("data.json"):
with open("data.json", "r") as file:
existing_data = json.load(file)
existing_data.update(self.data)
self.data = existing_data
# Begrenze die Daten auf die letzten 24 Stunden (1440 Minuten)
timestamps_sorted = sorted(self.data.keys(), reverse=True)
if len(timestamps_sorted) > 1440:
timestamps_to_remove = timestamps_sorted[1440:]
for timestamp_to_remove in timestamps_to_remove:
del self.data[timestamp_to_remove]
# Daten als JSON speichern
with open("data.json", "w") as file:
json.dump(self.data, file)
def update_values(self, current_values, new_values):
for key, value in new_values.items():
if key not in current_values:
current_values[key] = []
current_values[key] = value
else:
# Überprüfen, ob der Wert bereits eine Liste ist
if not isinstance(current_values[key], list):
# Wenn nicht, konvertieren Sie ihn in eine Liste
current_values[key] = [current_values[key]]
# Füge den neuen Wert der Liste hinzu
current_values[key].append(value)
return current_values

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@@ -1 +1 @@
{"timestamps": ["2024-04-18 17:18", "2024-04-18 17:19", "2024-04-18 17:20", "2024-04-18 17:21", "2024-04-18 17:22", "2024-04-18 17:23", "2024-04-18 17:24"], "Producer_sum": {"values": {"success": [true, true, true, true, true, true, true], "day_energy": [35718, 35866, 35991, 36109, 36236, 36329, 36438], "pac": [7995, 8083, 7758, 7083, 6439, 6084, 5755], "total_energy": [59811200, 59811300, 59811400, 59811604, 59811604, 59811804, 59811902], "year_energy": [8725390, 8725539, 8725663, 8725781, 8725906, 8725999, 8726110]}}, "Fronius_15kW": {"values": {"success": [true, true, true, true, true, true, true], "day_energy": [17347, 17409, 17461, 17512, 17564, 17603, 17649], "pac": [3359, 3388, 3251, 2959, 2688, 2538, 2393], "total_energy": [31330000, 31330100, 31330100, 31330202, 31330202, 31330302, 31330302], "year_energy": [3532817, 3532880, 3532932, 3532982, 3533033, 3533072, 3533119]}}, "Fronius_20kW": {"values": {"success": [true, true, true, true, true, true, true], "day_energy": [18371, 18457, 18530, 18597, 18672, 18726, 18789], "pac": [4636, 4695, 4507, 4124, 3751, 3546, 3362], "total_energy": [28481200, 28481200, 28481300, 28481402, 28481402, 28481502, 28481600], "year_energy": [5192573, 5192659, 5192731, 5192799, 5192873, 5192927, 5192991]}}, "Meter_Sum": {"values": {"success": [true, true, true, true, true, true, true], "Current_AC_Phase_1": [5, 4.45, 6.4, 7.25, 11.2, 6.3, 9], "Current_AC_Phase_2": [5.75, 5.45, 6.5, 7.5, 7.5, 2.714, 2.175], "Current_AC_Phase_3": [-4.55, -4.6, -4.3, -3.9, 7.55, 4.4, 4.7], "PowerReal_P_Sum": [443, 200.8, 1714.5, 1879.3, 5569.2, 2260.1, 3062.9]}}, "Meter_Fronius": {"values": {"success": [true, true, true, true, true, true, true], "Current_AC_Phase_1": [5, 4.45, 6.4, 7.25, 11.2, 6.3, 9], "Current_AC_Phase_2": [5.75, 5.45, 6.5, 7.5, 7.5, 2.714, 2.175], "Current_AC_Phase_3": [-4.55, -4.6, -4.3, -3.9, 7.55, 4.4, 4.7], "PowerReal_P_Sum": [443, 200.8, 1714.5, 1879.3, 5569.2, 2260.1, 3062.9]}}, "User_data": {"values": {"Current_Power": [0, 0, 0, 0, 0, 0, 0], "Used_Energy": [0, 0, 0, 0, 0, 0, 0], "Current_Prio": [0, 0, 0, 0, 0, 0, 0], "Current_deltaPower": [0, 0, 0, 0, 0, 0, 0], "measured_Temp": [0, 0, 0, 0, 0, 0, 0]}}, "Umod1": {"values": {"Current_Power": [0, 0, 0, 0, 0, 0, 0], "Used_Energy": [6, 6, 6, 6, 6, 6, 6], "Current_Prio": [1, 1, 1, 1, 1, 1, 1], "Current_deltaPower": [0, 0, 0, 0, 0, 0, 0], "measured_Temp": [0, 0, 0, 0, 0, 0, 0]}}, "Umod3": {"values": {"Current_Power": [0, 0, 0, 0, 0, 0, 0], "Used_Energy": [6, 6, 6, 6, 6, 6, 6], "Current_Prio": [3, 3, 3, 3, 3, 3, 3], "Current_deltaPower": [0, 0, 0, 0, 0, 0, 0], "measured_Temp": [0, 0, 0, 0, 0, 0, 0]}}, "Umod2.0": {"values": {"Current_Power": [0, 0, 0, 0, 0, 0, 0], "Used_Energy": [6, 6, 6, 6, 6, 6, 6], "Current_Prio": [2, 2, 2, 2, 2, 2, 2], "Current_deltaPower": [0, 0, 0, 0, 0, 0, 0], "measured_Temp": [0, 0, 0, 0, 0, 0, 0]}}, "Umod2.1": {"values": {"Current_Power": [0, 0, 0, 0, 0, 0, 0], "Used_Energy": [6, 6, 6, 6, 6, 6, 6], "Current_Prio": [2, 2, 2, 2, 2, 2, 2], "Current_deltaPower": [0, 0, 0, 0, 0, 0, 0], "measured_Temp": [0, 0, 0, 0, 0, 0, 0]}}, "Umod2.2": {"values": {"Current_Power": [0, 0, 0, 0, 0, 0, 0], "Used_Energy": [6, 6, 6, 6, 6, 6, 6], "Current_Prio": [2, 2, 2, 2, 2, 2, 2], "Current_deltaPower": [0, 0, 0, 0, 0, 0, 0], "measured_Temp": [0, 0, 0, 0, 0, 0, 0]}}, "Umod2.3": {"values": {"Current_Power": [0, 0, 0, 0, 0, 0, 0], "Used_Energy": [6, 6, 6, 6, 6, 6, 6], "Current_Prio": [2, 2, 2, 2, 2, 2, 2], "Current_deltaPower": [0, 0, 0, 0, 0, 0, 0], "measured_Temp": [0, 0, 0, 0, 0, 0, 0]}}, "Usta2.0": {"values": {"Current_Power": [0, 0, 0, 0, 0, 0, 0], "Used_Energy": [4, 4, 4, 4, 4, 4, 4], "Current_Prio": [2, 2, 2, 2, 2, 2, 2], "Current_deltaPower": [0, 0, 0, 0, 0, 0, 0], "measured_Temp": [0, 0, 0, 0, 0, 0, 0]}}, "shelly_Boiler": {"values": {"Current_Power": [0, 0, 0, 0, 0, 0, 0], "Used_Energy": [0, 0, 0, 0, 0, 0, 0], "Current_Prio": [2, 2, 2, 2, 2, 2, 2], "Current_deltaPower": [0, 0, 0, 0, 0, 0, 0], "measured_Temp": [20.56, 20.56, 20.56, 20.56, 20.56, 20.56, 20.56]}}}
{"2024-04-19 16:47": {"producer_values": {"Producer_sum": {"success": true, "day_energy": 94190, "pac": 7661, "total_energy": 59918400, "year_energy": 8832601}, "Fronius_15kW": {"success": true, "day_energy": 38010, "pac": 3060, "total_energy": 31373402, "year_energy": 3576175}, "Fronius_20kW": {"success": true, "day_energy": 56180, "pac": 4601, "total_energy": 28544998, "year_energy": 5256426}}, "meter_values": {"Meter_Sum": {"success": true, "Current_AC_Phase_1": 17.65, "Current_AC_Phase_2": 25.9, "Current_AC_Phase_3": 22.3, "PowerReal_P_Sum": 15015.1}, "Meter_Fronius": {"success": true, "Current_AC_Phase_1": 17.65, "Current_AC_Phase_2": 25.9, "Current_AC_Phase_3": 22.3, "PowerReal_P_Sum": 15015.1}}, "user_values": {"User_data": {"Current_Power": 0, "Used_Energy": 0, "Current_Prio": 0, "Current_deltaPower": 0, "measured_Temp": 0}, "Umod1": {"Current_Power": 0, "Used_Energy": 6, "Current_Prio": 1, "Current_deltaPower": 0, "measured_Temp": 0}, "Umod3": {"Current_Power": 0, "Used_Energy": 6, "Current_Prio": 3, "Current_deltaPower": 0, "measured_Temp": 0}, "Umod2.0": {"Current_Power": 0, "Used_Energy": 6, "Current_Prio": 2, "Current_deltaPower": 0, "measured_Temp": 0}, "Umod2.1": {"Current_Power": 0, "Used_Energy": 6, "Current_Prio": 2, "Current_deltaPower": 0, "measured_Temp": 0}, "Umod2.2": {"Current_Power": 0, "Used_Energy": 6, "Current_Prio": 2, "Current_deltaPower": 0, "measured_Temp": 0}, "Umod2.3": {"Current_Power": 0, "Used_Energy": 6, "Current_Prio": 2, "Current_deltaPower": 0, "measured_Temp": 0}, "Usta2.0": {"Current_Power": 0, "Used_Energy": 4, "Current_Prio": 2, "Current_deltaPower": 0, "measured_Temp": 0}, "shelly_Boiler": {"Current_Power": 0, "Used_Energy": 0, "Current_Prio": 2, "Current_deltaPower": 0, "measured_Temp": 21.69}}}}

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@@ -31,7 +31,16 @@ def calcSomeStuff():
while True:
# Neue Konfig holen
try:
config = json.dumps(serverrequests.get_config(ID))
# Versuche, das JSON zu laden
except:
# Falls ein Fehler auftritt oder kein JSON zurückkommt, lade config.json
with open('config.json', 'r') as file:
config = json.dumps(json.load(file))
if JsonHandling.JsonHandling.check_config_has_changed(config):
producers = energyproducer.EnergyProducer.create_producerlist_from_json(config)
@@ -48,10 +57,17 @@ while True:
main.EnergyUserFactory.distribute_energy(users, -1*(meter_values["Meter_Sum"]["PowerReal_P_Sum"]))
user_values = energyuser.EnergyUser.get_all_current_values(users)
Collector.collect_and_store_data(producer_values, meter_values, user_values)
try:
a = json.loads(config)['last_timestamp']
except:
a = "1970-01-01 00:00"
Collector.collect_and_store_data(producer_values, meter_values, user_values, a)
data = Collector.data
serverrequests.set_data(ID, data)
try:
if next(iter(data)) != a:
serverrequests.set_data(ID, data)
except:
pass
time.sleep(5)

File diff suppressed because one or more lines are too long

90
server/hey.html Normal file
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@@ -0,0 +1,90 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Highcharts Beispiel</title>
<!-- Highcharts CDN -->
<script src="https://code.highcharts.com/highcharts.js"></script>
<script src="https://code.highcharts.com/modules/exporting.js"></script>
<script src="https://code.highcharts.com/modules/export-data.js"></script>
<script src="https://code.highcharts.com/modules/accessibility.js"></script>
</head>
<body>
<div id="container" style="min-width: 310px; height: 400px; margin: 0 auto"></div>
<script>
document.addEventListener('DOMContentLoaded', function () {
// Laden der JSON-Daten
fetch('Data/BasToken.json')
.then(response => response.json())
.then(data => {
const seriesData = [];
// Iteration über die Daten, um die Serien zu erstellen
Object.keys(data).forEach(date => {
const producerValues = data[date].producer_values;
const meterValues = data[date].meter_values;
const userValues = data[date].user_values;
seriesData.push({
name: date,
data: [
producerValues.day_energy,
producerValues.pac,
producerValues.total_energy,
producerValues.year_energy,
meterValues.Current_AC_Phase_1,
meterValues.Current_AC_Phase_2,
meterValues.Current_AC_Phase_3,
meterValues.PowerReal_P_Sum,
userValues.Current_Power,
userValues.Used_Energy,
userValues.Current_Prio,
userValues.Current_deltaPower,
userValues.measured_Temp
]
});
});
// Erstellen des Diagramms
Highcharts.chart('container', {
chart: {
type: 'line'
},
title: {
text: 'Daten'
},
xAxis: {
categories: [
'producer_values.day_energy',
'producer_values.pac',
'producer_values.total_energy',
'producer_values.year_energy',
'meter_values.Current_AC_Phase_1',
'meter_values.Current_AC_Phase_2',
'meter_values.Current_AC_Phase_3',
'meter_values.PowerReal_P_Sum',
'user_values.Current_Power',
'user_values.Used_Energy',
'user_values.Current_Prio',
'user_values.Current_deltaPower',
'user_values.measured_Temp'
],
title: {
text: 'Attribute'
}
},
yAxis: {
title: {
text: 'Wert'
}
},
series: seriesData
});
})
.catch(error => console.error('Fehler beim Laden der Daten:', error));
});
</script>
</body>
</html>

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@@ -1,42 +1,60 @@
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 18 17:13:06 2024
@author: dh
"""
def merge_json(old_json, new_json):
if not isinstance(old_json, dict) or not isinstance(new_json, dict):
# Überprüfen, ob new_json keine Timestamps enthält
if "timestamps" not in new_json:
return old_json
for key, value in new_json.items():
if key not in old_json:
old_json[key] = value
elif isinstance(value, list):
if key not in old_json:
old_json[key] = []
if key == "timestamps":
for item in value:
if item not in old_json[key]:
old_json[key].append(item)
# Überprüfen, ob old_json keine Timestamps enthält
if "timestamps" not in old_json:
return new_json
# Schritt 1: Neue Timestamps prüfen und ggf. hinzufügen
for timestamp in new_json["timestamps"]:
if timestamp not in old_json["timestamps"]:
old_json["timestamps"].append(timestamp)
# Schritt 2: Neue Werte an den richtigen Positionen einfügen
for key, values in new_json["data"].items():
if key in old_json["data"]:
for i, timestamp in enumerate(new_json["timestamps"]):
index = old_json["timestamps"].index(timestamp)
if i < len(values):
if len(old_json["data"][key]) > index:
old_json["data"][key][index] = values[i]
else:
old_json[key].extend(value)
elif isinstance(value, dict):
old_json[key] = merge_json(old_json.get(key, {}), value)
old_json["data"][key].append(values[i])
else:
old_json[key] = value
old_json["data"][key] = [None] * len(old_json["timestamps"])
for i, timestamp in enumerate(new_json["timestamps"]):
index = old_json["timestamps"].index(timestamp)
if i < len(values):
if len(old_json["data"][key]) > index:
old_json["data"][key][index] = values[i]
else:
old_json["data"][key].append(values[i])
return old_json
# Beispielaufruf
old_json = {
# Beispielaufrufe
old_json1 = {
"timestamps": ["s", "e", "r"],
"data": {"foo": [1, 2, 4], "bar": [3, 4, 6]}
}
new_json = {
new_json1 = {}
merged_json1 = merge_json(old_json1, new_json1)
print(merged_json1)
old_json2 = {}
new_json2 = {
"timestamps": ["r", "p"],
"data": {"foo": [4,5], "bar": [6,7]}
"data": {"foo": [4, 4], "bar": [6, 7]}
}
merged_json = merge_json(old_json, new_json)
print(merged_json)
merged_json2 = merge_json(old_json2, new_json2)
print(merged_json2)
merged_json2 = merge_json(old_json1, new_json2)
print(merged_json2)

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@@ -15,6 +15,7 @@ def get_config():
return jsonify({'error': 'Token ID is missing'}), 400
config_file = os.path.join('config', f'{token_id}.json')
data_file = os.path.join('data', f'{token_id}.json') # angenommen, die Daten befinden sich im Ordner 'data'
if not os.path.exists(config_file):
return jsonify({'error': 'Config not found for the specified token'}), 404
@@ -22,21 +23,23 @@ def get_config():
with open(config_file, 'r') as file:
config = json.load(file)
data_file = os.path.join('config', f'{token_id}.json')
# Extract and include last timestamp in the response
if os.path.exists(data_file):
with open(data_file, 'r') as file:
data = json.load(file)
# Extract and include last timestamp in the response
try:
config['last_timestamp'] = data['timestamps'][len(data['timestamps'])-1]
except:
last_timestamp = max(data.keys()) # Den neuesten Zeitstempel aus den Schlüsseln der Daten extrahieren
print(last_timestamp)
config['last_timestamp'] = last_timestamp
except ValueError:
config['last_timestamp'] = 0
else:
config['last_timestamp'] = 0
return jsonify(config), 200
except Exception as e:
return jsonify({'error': str(e)}), 500
# Route to set new data
@@ -91,28 +94,23 @@ def write_json_file(token_id, new_data):
with open(file_path, 'w') as file:
json.dump(new_data, file)
def merge_json(old_json, new_json):
if not isinstance(old_json, dict) or not isinstance(new_json, dict):
return old_json
def merge_json(json1, json2):
# Wenn ein JSON leer ist, gib einfach das andere zurück
if not json1:
return json2
if not json2:
return json1
for key, value in new_json.items():
if key not in old_json:
old_json[key] = value
elif isinstance(value, list):
if key not in old_json:
old_json[key] = []
if key == "timestamps":
for item in value:
if item not in old_json[key]:
old_json[key].append(item)
else:
old_json[key].extend(value)
elif isinstance(value, dict):
old_json[key] = merge_json(old_json.get(key, {}), value)
else:
old_json[key] = value
# Erstelle eine Kopie des ersten JSON
merged_data = json1.copy()
# Füge die Timestamps aus dem zweiten JSON ein, falls sie nicht bereits im ersten JSON vorhanden sind
for timestamp, values in json2.items():
if timestamp not in merged_data:
merged_data[timestamp] = values
return merged_data
return old_json