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:
mia 2025-06-02 08:52:31 +02:00
parent 4c654ec969
commit 70c4de1a30
10 changed files with 2218 additions and 140 deletions

2
.gitignore vendored
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@ -1 +1 @@
/webserver/plots/
/webserver/static/plots/

100
webserver/data_big.json Normal file
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{
"location": "Building B - Research Wing",
"sensors": [
{
"id": "temp-A12",
"type": "temperature",
"unit": "°C",
"readings": [
{ "ts": 1747814400, "value": 21.0 },
{ "ts": 1747818000, "value": 21.4 },
{ "ts": 1747821600, "value": 22.1 },
{ "ts": 1747825200, "value": 22.6 },
{ "ts": 1747828800, "value": 22.8 },
{ "ts": 1747832400, "value": 23.0 }
]
},
{
"id": "hum_B2",
"type": "humidity",
"unit": "%",
"readings": [
{ "ts": 1747814400, "value": 50.1 },
{ "ts": 1747818000, "value": 51.7 },
{ "ts": 1747821600, "value": 49.3 },
{ "ts": 1747825200, "value": 48.8 },
{ "ts": 1747828800, "value": 47.6 },
{ "ts": 1747832400, "value": 46.9 },
{ "ts": 1747836000, "value": 45.2 },
{ "ts": 1747839600, "value": 44.7 },
{ "ts": 1747843200, "value": 43.5 }
]
},
{
"id": "PRES-009",
"type": "pressure",
"unit": "hPa",
"readings": [
{ "ts": 1747814400, "value": 1011.0 },
{ "ts": 1747818000, "value": 1010.8 }
]
},
{
"id": "sensorX04",
"type": "CO2",
"unit": "ppm",
"readings": [
{ "ts": 1747814400, "value": 415 },
{ "ts": 1747818000, "value": 420 },
{ "ts": 1747821600, "value": 432 },
{ "ts": 1747825200, "value": 440 },
{ "ts": 1747828800, "value": 437 }
]
},
{
"id": "luxSensor-1",
"type": "light",
"unit": "lux",
"readings": [
{ "ts": 1747814400, "value": 300 },
{ "ts": 1747818000, "value": 450 },
{ "ts": 1747821600, "value": 600 },
{ "ts": 1747825200, "value": 550 },
{ "ts": 1747828800, "value": 500 },
{ "ts": 1747832400, "value": 480 },
{ "ts": 1747836000, "value": 470 },
{ "ts": 1747839600, "value": 460 },
{ "ts": 1747843200, "value": 455 },
{ "ts": 1747846800, "value": 440 },
{ "ts": 1747850400, "value": 430 },
{ "ts": 1747854000, "value": 420 }
]
},
{
"id": "vib_07",
"type": "vibration",
"unit": "mm/s",
"readings": [
{ "ts": 1747814400, "value": 0.05 },
{ "ts": 1747818000, "value": 0.06 },
{ "ts": 1747821600, "value": 0.08 },
{ "ts": 1747825200, "value": 0.07 },
{ "ts": 1747828800, "value": 0.09 },
{ "ts": 1747832400, "value": 0.1 },
{ "ts": 1747836000, "value": 0.12 }
]
},
{
"id": "motion-Z3",
"type": "motion",
"unit": "count",
"readings": [
{ "ts": 1747814400, "value": 3 },
{ "ts": 1747818000, "value": 1 },
{ "ts": 1747821600, "value": 0 },
{ "ts": 1747825200, "value": 2 }
]
}
]
}

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@ -1,3 +1,4 @@
{
"location": "Building A - Lab 3",
"sensors": [

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# Copyright 2025 Kieler, Chiara
#
# Licensed under the AGPLv3.0 (the "License");
# You may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.gnu.org/licenses/
from datetime import datetime
import re
from flask import Flask, send_from_directory, render_template
from flask import Flask, render_template
import json
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
# Global Variables:
jsonpath = "data.json"
htmldata = ""
jsonpath = "data_big.json"
sensors: dict = {}
# class Entries:
# def __init__(self, id: str, ts: list, value: list):
# self.id = id
# templist: list = []
# for i in range(len(ts)):
# templist.append([ts[i], value[i]])
# self.entries: list = templist
#
# def printEntries(self):
# print(self.entries)
#
#
# tese = Entries("sensor0", [1, 2, 3, 4], [10, 20, 30, 40])
# tese.printEntries()
def readJson():
f = open(jsonpath)
jsondata = json.load(f) # returns JSON object as a dictionary
for i in jsondata["sensors"]: # Iterating through the json list
timestamps: list = []
values: list = []
# print(len(i["readings"]))
for j in range(len(i["readings"])):
timestamps.append(i["readings"][j]["ts"])
values.append(i["readings"][j]["value"])
# print(i)
# print(i["readings"][1])
# print("\n")
sensors[i["id"]] = Sensor(i["id"], i["unit"], i["type"], timestamps, values)
f.close()
class Sensor:
@ -97,113 +108,13 @@ class Sensor:
plt.close()
return path
# def formatLine(self, ts: int):
# for i in self.ts:
# if i == ts:
# return f"{self.timedate}> {self.values[]}"
readJson()
# Json
f = open(jsonpath)
jsondata = json.load(f) # returns JSON object as a dictionary
# sensordict = dict()
sensors: dict = {}
for i in jsondata["sensors"]: # Iterating through the json list
timestamps: list = []
values: list = []
# print(len(i["readings"]))
for j in range(len(i["readings"])):
timestamps.append(i["readings"][j]["ts"])
values.append(i["readings"][j]["value"])
# print(i)
# print(i["readings"][1])
# print("\n")
# sensordict[i["id"]] = [i["type"], i["unit"], i["readings"]]
# print(sensordict[i["id"]])
sensors[i["id"]] = Sensor(i["id"], i["unit"], i["type"], timestamps, values)
# print("\n")
# print(sensors)
f.close()
print("\n")
# print(sensordict)
print(sensors)
# print(sensors["sensor_001"].getReadings(limit=2, reversed=True, timetype="time"))
# for i in sensordict:
# type = sensordict[i][0]
# unit = sensordict[i][1]
# readings = ""
# datapoints: list = []
# sensorrange = len(sensordict[i][2]) if len(sensordict[i][2]) < 5 else 5
# for j in range(sensorrange):
# datapoints.append([])
# ts = sensordict[i][2][j]["ts"]
# value = sensordict[i][2][j]["value"]
# datapoints[j].append(ts)
# datapoints[j].append(value)
# datapoints[j].append(unit)
# datapoints.sort(reverse=True)
#
# graphdata: list = [[], []]
# for j in datapoints:
# ts = j[0]
# time = datetime.fromtimestamp(ts).strftime("%d.%m.%Y %H:%M.%S")
# timeNoDate = datetime.fromtimestamp(ts).strftime("%H:%M.%S")
# value = j[1]
# unit = j[2]
# # print(f"{time} {j}")
# readings += f"{time}> {value}{unit}<br>"
# graphdata[0].append(timeNoDate)
# graphdata[1].append(value)
#
# # create_plot(i, unit, graphdata[0], graphdata[1])
#
# htmldata += f"""
# <p>Id: {i}</p>
# <p>Type: {type}</p>
# <p>Readings:</p>
# <div style="margin-left: 40px;">
# {readings}
# <img src="/plots/{i}.png" alt="Graph">
# </div>
# <hr>"""
#
# html = f"""
# <!DOCTYPE html>
# <html lang="en">
# <head>
# <meta charset="UTF-8">
# <title>Sensor Data</title>
# <style>
# * {{
# font-family: 'Caskaydia Cove NF';
# font-size: 18px;
# color: white;
# background: #1C1C1C;
# }}
# </style>
# </head>
# <body>
# {htmldata}
# </body>
# </html>
# """
# class MyHandler(BaseHTTPRequestHandler):
# def do_GET(self):
# self.send_response(200)
# # self.send_header("Content-type", "text/html")
# self.end_headers()
# self.wfile.write(html.encode("utf-8"))
#
#
# if __name__ == "__main__":
# server_address = ("", 8000)
# httpd = HTTPServer(server_address, MyHandler)
# print("Serving on http://localhost:8000")
# httpd.serve_forever()
app = Flask(__name__)
@ -212,12 +123,5 @@ def index():
return render_template("index.html", data=sensors)
# @app.before_request
# def before_request():
# for sensor in sensors.values():
# print(sensor)
# sensor.renderPlot()
if __name__ == "__main__":
app.run(debug=True)

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<!-- Copyright 2025 Kieler, Chiara -->
<!---->
<!-- Licensed under the AGPLv3.0 (the "License"); -->
<!-- You may not use this file except in compliance with the License. -->
<!-- You may obtain a copy of the License at -->
<!---->
<!-- https://www.gnu.org/licenses/ -->
<!doctype html>
<html lang="en">
<head>
@ -8,27 +16,58 @@
/>
<title>Sensor Data</title>
<style>
@font-face {
font-family: 'CaskaydiaCove Nerd Font';
src: url('/static/CaskaydiaCove-Regular.ttf') format('truetype');
font-weight: normal;
font-style: normal;
}
* {
font-family: "Caskaydia Cove NF";
font-family: "CaskaydiaCove Nerd Font";
font-size: 18px;
color: white;
background: #1c1c1c;
}
.container {
display: flex; /* Enable flexbox */
justify-content: space-between; /* Optional: space between items */
}
.imgbox {
background-color: #4CAF50; /* Background color for the boxes */
display: flex; /* Enable flexbox for inner content */
justify-content: right; /* Center text horizontally */
}
.txtbox {
background-color: #C4FA05; /* Background color for the boxes */
justify-content: left; /* Center text horizontally */
}
</style>
</head>
<body>
<div class = "container">
<div class = "txtbox">
<h1>Sensor Readings</h1>
</div>
</div>
<h2>{% for sensor in data.items() %}</h2>
<hr>
<h2>{{ sensor[1].getId() }}[{{ sensor[1].getType() }}]</h2>
<h3>{{ sensor[1].renderPlot() }}</h3>
<div class = "container">
<div class = "txtbox">
<ul>
{% for key,value in sensor[1].getReadingsTimeDate().items() %}
<li>{{ key }}» {{ value }}{{ sensor[1].getUnit() }}</li>
{% endfor %}
</ul>
</div>
<div class = "imgbox">
<img
src="{{ url_for('static', filename='plots/' + sensor[1].getId() + '.png') }}"
alt="Graph"
/>
</ul>
</div>
</div>
{% endfor %}
</body>
</html>