#!/usr/bin/python3 # -*- coding: utf-8 -*- """ Created on Thu Aug 17 22:25:52 2017 @author: arofarn """ ########### # IMPORTS # ########### from cameteo import * from flask import render_template from flask_bootstrap import Bootstrap from flask_nav import Nav from flask_nav.elements import * import pandas as pd from bokeh.plotting import figure from bokeh.embed import components from bokeh.models import ColumnDataSource from bokeh.resources import INLINE ######## # MAIN # ######## bootstrap = Bootstrap(app) nav = Nav() nav.init_app(app) navbar = Navbar('Camétéo', View('Accueil', 'index'), View('Toutes les données', 'all_data'), Subgroup('Par données', View("Température de l'air", 'by_data_type', dt='AT'), View("Humidité relative", 'by_data_type', dt='RH'), View("Pression atmosphérique (locale)", 'by_data_type', dt='AP'), View("Pression atmosphérique (mer)", 'by_data_type', dt='MSLP'), View("Altitude", 'by_data_type', dt='ALTI'), ), Subgroup('Par capteur', View("Capteur BME280", 'by_sensor', sens = 'AdaBME280_1') ), Subgroup('Photos', View('Dernière Photo', 'picture', num=0), View('Première Photo', 'picture', num=999999999), ), View('Configuration', 'config_page') ) nav.register_element('top', navbar) js_resources = INLINE.render_js() css_resources = INLINE.render_css() @app.route('/') def index(): return render_template('index.html.j2') @app.route('/picture=') def picture(num): num=int(num) if num < 0 : num = 0 pictures = Photo.query.order_by(Photo.file_date.desc()) if num > pictures.count()-1: num = pictures.count()-1 pict = pictures[num] return render_template('photos.html.j2', picture_path = os.path.join("static/photos", pict.file_name), numero = num ) @app.route('/all_data') def all_data(): date_deb = datetime.utcnow()-timedelta(seconds=3600) res = Data.query.filter(Data.dbdate >= date_deb) return render_template('data_viz.html.j2', dat=res.order_by(Data.dbdate.desc()).paginate(per_page=15)) @app.route('/type_id=
') def by_data_type(dt): date_deb = datetime.now()-timedelta(hours=1) #Récupération des données à afficher q = Data.query.filter(Data.type_id == dt).filter(Data.dbdate >= date_deb).order_by(Data.valdate) res = pd.read_sql(q.selectable, db.engine) plot_data = ColumnDataSource(data=dict(x = res['data_valdate'], y = res['data_value'])) #Préparation du graphique data_plot = figure(tools = "hover,pan,reset,save,wheel_zoom", title = dt, x_axis_label = 'Date', x_axis_type = 'datetime', y_axis_label = dt, plot_height = 400, plot_width = 1140, ) data_plot.line('x', 'y', source=plot_data, line_width=2) script, div = components(data_plot) return render_template('data_graph.html.j2', dat=q.order_by(Data.dbdate.desc()).paginate(per_page=15), plot_script=script, plot_div=div, js_resources=js_resources, css_resources=css_resources, ) @app.route('/sensor_id=') def by_sensor(sens): date_deb = datetime.utcnow()-timedelta(seconds=3600) res = Data.query.filter(Data.sensor_id == sens).filter(Data.dbdate >= date_deb) return render_template('data_viz.html.j2', dat=res.order_by(Data.dbdate.desc()).paginate(per_page=15)) @app.route('/configuration', methods=['GET', 'POST']) def config_page(): if request.method == 'POST': pass else: pass return render_template('config_page.html.j2') if __name__=="__main__": app.run(host="0.0.0.0")