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# Import other functions and classes
import heating
import errors
import sql
import weather
import time
import sqlite3
import dates
from flask import Flask, render_template, redirect, url_for
from threading import Thread
import os
app = Flask(__name__)
# TODO:
# schedule
# export as pdf (dictionary/merge sort)
# Use of constants
# Paramaterised location of database file
DBFILE = "data.db"
TIME_INCREMENT = 5
# number of increments per day
STEPS = (60 * 60 * 24) / TIME_INCREMENT
# instantiate classes
db = sql.db(DBFILE)
date = date.dates()
weather = weather.weather_met_no()
# Check if running on correct device : defensive coding against running
# on the wrong device, the instantiate heating class
try:
with open("/sys/firmware/devicetree/base/model", "r") as file:
device = file.read()
except:
errors.device_error()
if device.startswith("Raspberry Pi 4"):
boiler = heating.rpi_heating(db)
else:
errors.device_error()
# Import API Script after Flask app and boiler classexists
import api
def main_page():
# paramaterised location of template in 'templates' folder
return render_template(
"main.html",
# Rounding value for user interface so number is not too long
actual_temp=round(boiler.temperature, 2),
target_temp=boiler.target,
forecast_temp=weather.temperature(),
)
@app.route("/")
@app.route("/index")
@app.route("/index.html")
def index():
return main_page()
@app.route("/up")
def form():
boiler.up()
return redirect(url_for("index"))
@app.route("/down")
def activity():
boiler.down()
return redirect(url_for("index"))
@app.route("/export")
def export_choice():
return render_template("export_choice.html")
@app.route("/export/<opt>")
def export(opt):
# Defensive handling of input
if opt in ["temperature", "weather", "history", "schedule"]:
con = sqlite3.connect(DBFILE)
cur = con.cursor()
data = cur.execute("select * from {}".format(opt))
o = ""
for i in data:
o += str(i) + "\n"
con.close()
# writing data to a file
with open("static/export.txt", "w") as file:
file.write(o)
return redirect("/static/export.txt")
elif opt == "pdf":
con = sqlite3.connect(DBFILE)
cur = con.cursor()
data = cur.execute("select date, on from history")
on = 0
total = 0
days = dictionary.dictionary()
for i in data:
if data[1] == 1:
days.inc(data[0], 1 / STEPS * 100)
con.close()
days.sort_by_value()
# writing data to a file
with open("static/table.ms", "w") as file:
file.write(days.roff_tbl())
os.system("groff -Tpdf -P-pa4 -tk static/table.ms > static/table.pdf")
return redirect("/static/table.pdf")
else:
return render_template(
"error.html", error="Invalid export type"
)
# Methods that will run continously: the update script for the heating
# and the flask webapp
def updater():
while True:
boiler.update()
db.exec(
"insert into weather values (?,?,?,?)",
(date.day(), date.time(), weather.temperature()),
)
time.sleep(TIME_INCREMENT)
def webapp():
app.run(host="0.0.0.0")
if __name__ == "__main__":
# Start the two main methods as threads
# Use of multithreaded processing
t1 = Thread(target=webapp)
t2 = Thread(target=updater)
t1.start()
t2.start()
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