Updated report display
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584a944452
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3 changed files with 67 additions and 106 deletions
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@ -2,84 +2,28 @@ from datetime import datetime
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from pathlib import Path
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import jinja2
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import numpy as np
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from cara import models
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from .model_generator import FormData
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def calculate_report_data(model: models.Model):
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resolution = 600
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times = list(np.linspace(0, 10, resolution))
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concentrations = [model.concentration(time) for time in times]
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highest_const = max(concentrations)
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prob = model.infection_probability()
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er = model.infected.emission_rate(0.1)
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exposed_occupants = model.exposed_occupants
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r0 = prob * exposed_occupants / 100
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return {
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"times": times,
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"concentrations": concentrations,
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"highest_const": highest_const,
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"prob_inf": prob,
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"emission_rate": er,
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"exposed_occupants": exposed_occupants,
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"R0": r0,
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}
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def build_report(model: models.Model, form: FormData):
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now = datetime.now()
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time = now.strftime("%d/%m/%Y %H:%M:%S")
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request = {"the": "form", "request": "data"}
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time = now.strftime('%d/%m/%Y %H:%M:%S')
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request = {'the': 'form', 'request': 'data'}
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context = {'model': model, 'request': request, 'creation_date': time, 'model_version': 'Beta v1.0.0',
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'simulation_name': 'SAMPLE', 'room_number': '40/1-02A', 'room_volume': 30, 'ventilation_type': 'natural_ventilation',
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'air_supply': 1, 'air_changes': 2, 'windows_number': 5, 'window_height': 2, 'window_width': 1,
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'opening_distance': 0.05, 'windows_open': '20 minutes every 2 hours', 'hepa_option': 'No', 'total_people': 8,
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'infected_people': 7, 'activity_type': 'Office work – typical scenario with all persons seated, talking',
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'activity_start': '00:00', 'activity_finish': '01:15', 'exposure_start': '00:00', 'exposure_finish': '01:15',
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'event_type' : 'single_event', 'single_event_date': '5th November', 'recurrent_event_month': 'November',
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'lunch_option': 'No', 'lunch_start': '00:00', 'lunch_finish': '01:15', 'coffee_breaks': 4,'coffee_duration': 15,
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'coffee_times': [['00:00','00:00'], ['00:00','00:00'], ['00:00','00:00'], ['00:00','00:00']], 'mask_wearing': 'No',
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'infection_probability': round(model.infection_probability(), 2), 'reproduction_rate': 2}
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context = {
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"model": model,
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"form": form,
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"creation_date": time,
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"model_version": "Beta v1.0.0",
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"simulation_name": "SAMPLE",
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"room_number": "40/1-02A",
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"room_volume": 30,
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"mechanical_ventilation": "Yes",
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"air_supply": 1,
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"air_changes": 2,
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"windows_number": 5,
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"window_height": 2,
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"window_width": 1,
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"opening_distance": 0.05,
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"windows_open": "20 minutes every 2 hours",
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"hepa_filtration": "No",
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"total_people": 8,
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"infected_people": 7,
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"activity_type": "Office work – typical scenario with all persons seated, talking",
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"activity_start": "00:00",
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"activity_finish": "01:15",
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"exposure_start": "00:00",
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"exposure_finish": "01:15",
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"single_event_date": "5th November",
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"lunch_option": "Yes",
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"lunch_start": "00:00",
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"lunch_finish": "01:15",
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"coffee_option": "Yes",
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"coffee_number": 4,
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"coffee_duration": 15,
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"coffee_start1": "00:00",
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"coffee_finish1": "00:00",
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"coffee_start2": "00:00",
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"coffee_finish2": "00:00",
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"coffee_start3": "00:00",
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"coffee_finish3": "00:00",
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"coffee_start4": "00:00",
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"coffee_finish4": "00:00",
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"mask_wearing": "Yes",
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"infection_probability": round(model.infection_probability(), 2),
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"reproduction_rate": 2,
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}
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context.update(calculate_report_data(model))
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p = Path(__file__).parent / "templates"
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env = jinja2.Environment(loader=jinja2.FileSystemLoader(Path(p)))
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template = env.get_template("report.html.j2")
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return template.render(**context)
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p = Path(__file__).parent / 'templates'
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env = jinja2.Environment(
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loader=jinja2.FileSystemLoader(Path(p)))
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template = env.get_template('report.html.j2')
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return template.render(**context)
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@ -6,13 +6,6 @@
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padding: 20px;
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}
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.image {
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display: flex;
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align-items: center;
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justify-content: center;
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font-size: 13pt;
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}
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h1{
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text-align: center;
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}
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@ -41,3 +34,15 @@ p.result_title {
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font-weight: bold;
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font-size: 15pt;
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}
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.image {
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display: flex;
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justify-content: center;
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font-size: 13pt;
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}
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.discalimer {
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display: flex;
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justify-content: center;
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font-size: 10pt;
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}
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@ -9,9 +9,6 @@
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<body id="body">
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<p class=image> <img src="/calculator/static/images/disclaimer.jpg" width="40" height="40">
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VERY IMPORTANT DISCLAIMER</p>
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<h1>Output from CARA - COVID Airborne Risk Assessment tool</h1>
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<p class=subtitle> Created {{ creation_date }} using model version {{ model_version }}</p><br>
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@ -26,15 +23,19 @@
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<p class="data_title">Ventilation data:</p>
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<ul>
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<li><p class="data_text">Mechanical ventilation: {{ mechanical_ventilation }}</p></li>
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<!--If mechanical ventialtion is yes {-->
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<li><p class="data_text">Mechanical ventilation:
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{% if ventilation_type == "mechanical_ventilation"%}
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Yes </p></li>
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<ul>
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<li><p class="data_subtext">Air supply flow rate: {{ air_supply }}</p></li>
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<li><p class="data_subtext">Air changes per hour: {{ air_changes }}</p></li>
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</ul>
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<!--}-->
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<li><p class="data_text">Natural ventilation: No</li>
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<!--If natural ventialtion is yes {
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{% else %}
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No </li>
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{% endif %}
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<li><p class="data_text">Natural ventilation:
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{% if ventilation_type == "natural_ventilation"%}
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Yes </p></li>
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<ul>
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<li><p class="data_subtext">Number of windows: {{ windows_number }}</p></li>
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<li><p class="data_subtext">Height of window: {{ window_height }}</p></li>
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@ -42,11 +43,11 @@
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<li><p class="data_subtext">Opening distance: {{ opening_distance }}</p></li>
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<li><p class="data_subtext">Windows open: {{ windows_open }}</p></li>
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</ul>
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}-->
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<li><p class="data_text">HEPA Filtration: {{ hepa_filtration }}</li>
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<!--If HEPA filtration is yes {
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X type of filter with y flow rate (default model assumption) ?
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}-->
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{% else %}
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No </p></li>
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{% endif %}
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<li><p class="data_text">HEPA Filtration: {{ hepa_option }}</li>
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<!--TODO: X type of filter with y flow rate (default model assumption) ? This was in the output doc..? -->
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</ul>
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<p class="data_title">Event data:</p>
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@ -54,29 +55,41 @@
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<li><p class="data_text">Number of attendees and infected people: {{ total_people }} in attendance, of whom {{ infected_people }} are infected.</p></li>
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<li><p class="data_text">Activity type: {{ activity_type }}</p></li>
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<ul>
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<li><p class="data_subtext">Start time: {{ activity_start }} End time: {{ activity_finish }}</p></li>
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<li><p class="data_subtext">Start time: {{ activity_start }}    End time: {{ activity_finish }}</p></li>
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</ul>
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<li><p class="data_text">Exposure time (presence of infected person):</p></li>
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<ul>
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<li><p class="data_subtext">Start time: {{ exposure_start }} End time: {{ exposure_finish }}</p></li>
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<li><p class="data_subtext">Start time: {{ exposure_start }}    End time: {{ exposure_finish }}</p></li>
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</ul>
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{% if event_type == "single_event"%}
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<li><p class="data_text">Single event on {{ single_event_date }}</p></li>
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{% endif %}
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{% if event_type == "recurrent_event"%}
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<li><p class="data_text">Recurrent event for the month of {{ recurrent_event_month }}</p></li>
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{% endif %}
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</ul>
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<p class="data_title">Break data:</p>
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<ul>
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<li><p class="data_text">Lunchbreak: {{ lunch_option }} Start: {{ lunch_start }} End: {{ lunch_end }}</p></li>
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<li><p class="data_text">Coffee breaks: {{ coffee_option }} Number: {{ coffee_number }} Duration: {{ coffee_duration }}</p></li>
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<li><p class="data_text">Lunch break: {{ lunch_option }}</li>
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{% if lunch_option == "Yes" %}
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<ul>
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<li><p class="data_subtext">Coffee break 1: Start: {{ coffee_start1 }} End: {{ coffee_finish1 }}</p></li>
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<li><p class="data_subtext">Coffee break 2: Start: {{ coffee_start2 }} End: {{ coffee_finish2 }}</p></li>
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<li><p class="data_subtext">Coffee break 3: Start: {{ coffee_start3 }} End: {{ coffee_finish3 }}</p></li>
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<li><p class="data_subtext">Coffee break 4: Start: {{ coffee_start4 }} End: {{ coffee_finish4 }}</p></li>
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<li> Start: {{ lunch_start }}    End: {{ lunch_finish }}</p></li>
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</ul>
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{% endif %}
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<li><p class="data_text">Coffee breaks: {{ coffee_breaks }}
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{% if coffee_breaks > 0 %}
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each of {{ coffee_duration }} minutes duration
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</p></li>
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<ul>
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{%- for coffee in coffee_times %}
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<li><p class="data_subtext">Coffee break {{ loop.index }}: Start: {{ coffee[0] }}    End: {{ coffee[1] }}</p></li>
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{%- endfor %}
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</ul>
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{% endif %}
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</ul>
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<!--or Recurrent for months of X, Y and Z…-->
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<p class="data_title">Mask wearing:</p>
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<ul>
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<li><p class="data_text">Masks worn at workstations? {{ mask_wearing }}</p></li>
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@ -84,8 +97,7 @@
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</ul>
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<p class="result_title">Results:</p>
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<p class="data_text"> In this scenario, the estimated probability of one exposed occupant getting infected (Pi) is {{ infection_probability }} % and the estimated basic reproduction rate (R0) rate is {{ reproduction_rate }}. If you have selected a recurrent event, this is the probability per day, and is cumulative over the number of days.<p>
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<p class="data_title">Exposure graph:
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<p class="data_text"> In this scenario, the estimated probability of one exposed occupant getting infected P(i) is {{ infection_probability }} % and the estimated basic reproduction rate (R0) rate is {{ reproduction_rate }}. This probability estimate is per simulated time period, i.e. if you have simulated a working day, which will be repeated n times per week, the cumulative probability of infection per person is n x P(i).<p>
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<p class="data_title">Exposure graph:</p>
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</body>
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</html>
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