Added webserver font
Added bigger example data Html changes in formating and in function Json now gets Read in a function Matplotlib now uses the 'Agg' backend Modified gitignore
This commit is contained in:
parent
4c654ec969
commit
70c4de1a30
10 changed files with 2218 additions and 140 deletions
2
.gitignore
vendored
2
.gitignore
vendored
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/webserver/plots/
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/webserver/static/plots/
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100
webserver/data_big.json
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100
webserver/data_big.json
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{
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"location": "Building B - Research Wing",
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"sensors": [
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{
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"id": "temp-A12",
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"type": "temperature",
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"unit": "°C",
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"readings": [
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{ "ts": 1747814400, "value": 21.0 },
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{ "ts": 1747818000, "value": 21.4 },
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{ "ts": 1747821600, "value": 22.1 },
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{ "ts": 1747825200, "value": 22.6 },
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{ "ts": 1747828800, "value": 22.8 },
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{ "ts": 1747832400, "value": 23.0 }
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]
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},
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{
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"id": "hum_B2",
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"type": "humidity",
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"unit": "%",
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"readings": [
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{ "ts": 1747814400, "value": 50.1 },
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{ "ts": 1747818000, "value": 51.7 },
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{ "ts": 1747821600, "value": 49.3 },
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{ "ts": 1747825200, "value": 48.8 },
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{ "ts": 1747828800, "value": 47.6 },
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{ "ts": 1747832400, "value": 46.9 },
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{ "ts": 1747836000, "value": 45.2 },
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{ "ts": 1747839600, "value": 44.7 },
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{ "ts": 1747843200, "value": 43.5 }
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]
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},
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{
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"id": "PRES-009",
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"type": "pressure",
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"unit": "hPa",
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"readings": [
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{ "ts": 1747814400, "value": 1011.0 },
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{ "ts": 1747818000, "value": 1010.8 }
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]
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},
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{
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"id": "sensorX04",
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"type": "CO2",
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"unit": "ppm",
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"readings": [
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{ "ts": 1747814400, "value": 415 },
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{ "ts": 1747818000, "value": 420 },
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{ "ts": 1747821600, "value": 432 },
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{ "ts": 1747825200, "value": 440 },
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{ "ts": 1747828800, "value": 437 }
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]
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},
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{
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"id": "luxSensor-1",
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"type": "light",
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"unit": "lux",
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"readings": [
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{ "ts": 1747814400, "value": 300 },
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{ "ts": 1747818000, "value": 450 },
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{ "ts": 1747821600, "value": 600 },
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{ "ts": 1747825200, "value": 550 },
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{ "ts": 1747828800, "value": 500 },
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{ "ts": 1747832400, "value": 480 },
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{ "ts": 1747836000, "value": 470 },
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{ "ts": 1747839600, "value": 460 },
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{ "ts": 1747843200, "value": 455 },
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{ "ts": 1747846800, "value": 440 },
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{ "ts": 1747850400, "value": 430 },
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{ "ts": 1747854000, "value": 420 }
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]
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},
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{
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"id": "vib_07",
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"type": "vibration",
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"unit": "mm/s",
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"readings": [
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{ "ts": 1747814400, "value": 0.05 },
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{ "ts": 1747818000, "value": 0.06 },
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{ "ts": 1747821600, "value": 0.08 },
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{ "ts": 1747825200, "value": 0.07 },
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{ "ts": 1747828800, "value": 0.09 },
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{ "ts": 1747832400, "value": 0.1 },
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{ "ts": 1747836000, "value": 0.12 }
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]
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},
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{
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"id": "motion-Z3",
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"type": "motion",
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"unit": "count",
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"readings": [
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{ "ts": 1747814400, "value": 3 },
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{ "ts": 1747818000, "value": 1 },
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{ "ts": 1747821600, "value": 0 },
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{ "ts": 1747825200, "value": 2 }
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]
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}
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]
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}
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{
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{
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"location": "Building A - Lab 3",
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"location": "Building A - Lab 3",
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"sensors": [
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"sensors": [
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# Copyright 2025 Kieler, Chiara
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#
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# Licensed under the AGPLv3.0 (the "License");
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# You may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.gnu.org/licenses/
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from datetime import datetime
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from datetime import datetime
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import re
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from flask import Flask, render_template
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from flask import Flask, send_from_directory, render_template
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import json
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import json
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import matplotlib
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matplotlib.use('Agg')
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import matplotlib.pyplot as plt
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import matplotlib.pyplot as plt
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# Global Variables:
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# Global Variables:
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jsonpath = "data.json"
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jsonpath = "data_big.json"
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htmldata = ""
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sensors: dict = {}
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# class Entries:
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def readJson():
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# def __init__(self, id: str, ts: list, value: list):
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f = open(jsonpath)
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# self.id = id
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jsondata = json.load(f) # returns JSON object as a dictionary
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# templist: list = []
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for i in jsondata["sensors"]: # Iterating through the json list
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# for i in range(len(ts)):
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timestamps: list = []
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# templist.append([ts[i], value[i]])
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values: list = []
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# self.entries: list = templist
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# print(len(i["readings"]))
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#
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for j in range(len(i["readings"])):
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# def printEntries(self):
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timestamps.append(i["readings"][j]["ts"])
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# print(self.entries)
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values.append(i["readings"][j]["value"])
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#
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# print(i)
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#
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# print(i["readings"][1])
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# tese = Entries("sensor0", [1, 2, 3, 4], [10, 20, 30, 40])
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# print("\n")
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# tese.printEntries()
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sensors[i["id"]] = Sensor(i["id"], i["unit"], i["type"], timestamps, values)
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f.close()
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class Sensor:
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class Sensor:
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plt.close()
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plt.close()
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return path
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return path
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# def formatLine(self, ts: int):
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# for i in self.ts:
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# if i == ts:
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# return f"{self.timedate}> {self.values[]}"
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readJson()
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# Json
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f = open(jsonpath)
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jsondata = json.load(f) # returns JSON object as a dictionary
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# sensordict = dict()
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sensors: dict = {}
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for i in jsondata["sensors"]: # Iterating through the json list
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timestamps: list = []
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values: list = []
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# print(len(i["readings"]))
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for j in range(len(i["readings"])):
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timestamps.append(i["readings"][j]["ts"])
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values.append(i["readings"][j]["value"])
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# print(i)
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# print(i["readings"][1])
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# print("\n")
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# print("\n")
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# sensordict[i["id"]] = [i["type"], i["unit"], i["readings"]]
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# print(sensors)
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# print(sensordict[i["id"]])
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sensors[i["id"]] = Sensor(i["id"], i["unit"], i["type"], timestamps, values)
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f.close()
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print("\n")
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# print(sensordict)
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print(sensors)
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# print(sensors["sensor_001"].getReadings(limit=2, reversed=True, timetype="time"))
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# for i in sensordict:
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# type = sensordict[i][0]
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# unit = sensordict[i][1]
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# readings = ""
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# datapoints: list = []
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# sensorrange = len(sensordict[i][2]) if len(sensordict[i][2]) < 5 else 5
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# for j in range(sensorrange):
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# datapoints.append([])
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# ts = sensordict[i][2][j]["ts"]
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# value = sensordict[i][2][j]["value"]
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# datapoints[j].append(ts)
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# datapoints[j].append(value)
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# datapoints[j].append(unit)
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# datapoints.sort(reverse=True)
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#
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# graphdata: list = [[], []]
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# for j in datapoints:
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# ts = j[0]
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# time = datetime.fromtimestamp(ts).strftime("%d.%m.%Y %H:%M.%S")
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# timeNoDate = datetime.fromtimestamp(ts).strftime("%H:%M.%S")
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# value = j[1]
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# unit = j[2]
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# # print(f"{time} {j}")
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# readings += f"{time}> {value}{unit}<br>"
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# graphdata[0].append(timeNoDate)
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# graphdata[1].append(value)
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#
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# # create_plot(i, unit, graphdata[0], graphdata[1])
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#
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# htmldata += f"""
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# <p>Id: {i}</p>
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# <p>Type: {type}</p>
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# <p>Readings:</p>
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# <div style="margin-left: 40px;">
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# {readings}
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# <img src="/plots/{i}.png" alt="Graph">
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# </div>
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# <hr>"""
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#
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# html = f"""
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# <!DOCTYPE html>
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# <html lang="en">
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# <head>
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# <meta charset="UTF-8">
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# <title>Sensor Data</title>
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# <style>
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# * {{
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# font-family: 'Caskaydia Cove NF';
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# font-size: 18px;
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# color: white;
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# background: #1C1C1C;
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# }}
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# </style>
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# </head>
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# <body>
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# {htmldata}
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# </body>
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# </html>
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# """
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# class MyHandler(BaseHTTPRequestHandler):
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# def do_GET(self):
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# self.send_response(200)
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# # self.send_header("Content-type", "text/html")
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# self.end_headers()
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# self.wfile.write(html.encode("utf-8"))
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#
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#
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# if __name__ == "__main__":
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# server_address = ("", 8000)
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# httpd = HTTPServer(server_address, MyHandler)
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# print("Serving on http://localhost:8000")
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# httpd.serve_forever()
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app = Flask(__name__)
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app = Flask(__name__)
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return render_template("index.html", data=sensors)
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return render_template("index.html", data=sensors)
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# @app.before_request
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# def before_request():
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# for sensor in sensors.values():
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# print(sensor)
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# sensor.renderPlot()
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if __name__ == "__main__":
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if __name__ == "__main__":
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app.run(debug=True)
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app.run(debug=True)
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2034
webserver/static/CaskaydiaCove-Regular.ttf
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webserver/static/CaskaydiaCove-Regular.ttf
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<!-- Copyright 2025 Kieler, Chiara -->
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<!---->
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<!-- Licensed under the AGPLv3.0 (the "License"); -->
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<!-- You may not use this file except in compliance with the License. -->
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<!-- You may obtain a copy of the License at -->
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<!---->
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<!-- https://www.gnu.org/licenses/ -->
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<!doctype html>
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<!doctype html>
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<html lang="en">
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<html lang="en">
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<head>
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<head>
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/>
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/>
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<title>Sensor Data</title>
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<title>Sensor Data</title>
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<style>
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<style>
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@font-face {
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font-family: 'CaskaydiaCove Nerd Font';
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src: url('/static/CaskaydiaCove-Regular.ttf') format('truetype');
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font-weight: normal;
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font-style: normal;
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}
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* {
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* {
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font-family: "Caskaydia Cove NF";
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font-family: "CaskaydiaCove Nerd Font";
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font-size: 18px;
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font-size: 18px;
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color: white;
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color: white;
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background: #1c1c1c;
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background: #1c1c1c;
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}
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}
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.container {
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display: flex; /* Enable flexbox */
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justify-content: space-between; /* Optional: space between items */
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}
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.imgbox {
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background-color: #4CAF50; /* Background color for the boxes */
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display: flex; /* Enable flexbox for inner content */
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justify-content: right; /* Center text horizontally */
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}
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.txtbox {
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background-color: #C4FA05; /* Background color for the boxes */
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justify-content: left; /* Center text horizontally */
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}
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</style>
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</style>
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</head>
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</head>
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<body>
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<body>
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<div class = "container">
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<div class = "txtbox">
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<h1>Sensor Readings</h1>
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<h1>Sensor Readings</h1>
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</div>
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</div>
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<h2>{% for sensor in data.items() %}</h2>
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<h2>{% for sensor in data.items() %}</h2>
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<hr>
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<h2>{{ sensor[1].getId() }}[{{ sensor[1].getType() }}]</h2>
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<h2>{{ sensor[1].getId() }}[{{ sensor[1].getType() }}]</h2>
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<h3>{{ sensor[1].renderPlot() }}</h3>
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<div class = "container">
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<div class = "txtbox">
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<ul>
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<ul>
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{% for key,value in sensor[1].getReadingsTimeDate().items() %}
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{% for key,value in sensor[1].getReadingsTimeDate().items() %}
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<li>{{ key }}» {{ value }}{{ sensor[1].getUnit() }}</li>
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<li>{{ key }}» {{ value }}{{ sensor[1].getUnit() }}</li>
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{% endfor %}
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{% endfor %}
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</ul>
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</div>
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<div class = "imgbox">
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<img
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<img
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src="{{ url_for('static', filename='plots/' + sensor[1].getId() + '.png') }}"
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src="{{ url_for('static', filename='plots/' + sensor[1].getId() + '.png') }}"
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alt="Graph"
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alt="Graph"
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/>
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/>
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</ul>
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</div>
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</div>
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{% endfor %}
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{% endfor %}
|
||||||
</body>
|
</body>
|
||||||
</html>
|
</html>
|
||||||
|
|
Loading…
Add table
Add a link
Reference in a new issue