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first commit

Pablo Moyano 1 year ago
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kind: pipeline
type: exec
name: default
os: linux
arch: amd64
- name: run
- docker-compose up -d --remove-orphans --build


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FROM tiangolo/meinheld-gunicorn-flask:python3.7
RUN pip install flask
COPY ./requirements.txt /app/requirements.txt
RUN pip install -r requirements.txt
COPY . /app


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@ -0,0 +1,5 @@
# sdc-lifecycle
[![Build Status](](
Web tool to upload, process and store data collected during the campaigns


@ -0,0 +1,4 @@
# Except this files


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This folder contains all the sensor data uploaded to the server


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version: '3.7'
## TODO: Add true proxy WSGI Server instead of running the builtin
build: .
restart: unless-stopped
- /mnt/storage/dataset-neo:/app/dataset
- traefik.enable=true
- traefik.http.routers.sdc-uploader.entryPoints=web-secure
- traefik.http.routers.sdc-uploader.rule=Host(``)
- traefik.http.routers.sdc-uploader.tls.certresolver=default
image: abiosoft/caddy
restart: unless-stopped
- /mnt/storage/dataset-neo:/srv
- traefik.enable=true
- traefik.http.routers.sdc-download.entryPoints=web-secure
- traefik.http.routers.sdc-download.rule=Host(``)
- traefik.http.routers.sdc-download.tls.certresolver=default


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# cat / inside container
# Copied to project so we can tune max_content_length
from __future__ import print_function
import json
import multiprocessing
import os
workers_per_core_str = os.getenv("WORKERS_PER_CORE", "2")
web_concurrency_str = os.getenv("WEB_CONCURRENCY", None)
host = os.getenv("HOST", "")
port = os.getenv("PORT", "80")
bind_env = os.getenv("BIND", None)
use_loglevel = os.getenv("LOG_LEVEL", "info")
if bind_env:
use_bind = bind_env
use_bind = "{host}:{port}".format(host=host, port=port)
cores = multiprocessing.cpu_count()
workers_per_core = float(workers_per_core_str)
default_web_concurrency = workers_per_core * cores
if web_concurrency_str:
web_concurrency = int(web_concurrency_str)
assert web_concurrency > 0
web_concurrency = int(default_web_concurrency)
# Gunicorn config variables
loglevel = use_loglevel
workers = web_concurrency
bind = use_bind
keepalive = 120
errorlog = "-"
# For debugging and testing
log_data = {
"loglevel": loglevel,
"workers": workers,
"bind": bind,
# Additional, non-gunicorn variables
"workers_per_core": workers_per_core,
"host": host,
"port": port,


@ -0,0 +1,196 @@
from flask import Flask, render_template, request
from datetime import datetime
from probeutils import utils as probeutils
import re
import fnmatch
import os
import meinheld
app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = "./dataset/"
app.config['MAX_CONTENT_LENGTH'] = 10000000000 # 10GB
app.config['DOWNLOADS_URL'] = ""
probes = [{
'sensor': 'SUNA',
'img': 'suna.jpg',
'active': ['SATSLF0037'],
'stations': ['M1', 'M2', 'M3']
}, {
'sensor': 'FIRe',
'img': 'fire.jpg',
'active': ['SATFIS0006'],
'stations': ['M1', 'M2', 'M3']
}, {
'sensor': 'PhycoCTD',
'img': 'phycoctd.jpg',
'active': ['phyco_v1', 'phyco_v2'],
'stations': ['M1', 'M2', 'M3']
}, {
'sensor': 'CastAway',
'img': 'castaway.jpg',
'active': ['CC1326008'],
'stations': ['M1', 'M2', 'M3']
# 'sensor': 'GoPro',
# 'img': 'gopro.png',
# 'active': ['gopro1'],
# 'stations': ['M1', 'M2', 'M3']
# Return our beautiful Bootstrap webpage. That we totally have.
def upload():
return render_template('upload.html', probes=probes)
# What happens when the files just don't fit
def request_entity_too_large(error):
return 'File Too Thicc', 413
# What happens when we did an oopsie
def internal_server_error(error):
return render_template('error.html')
# What happens when someone uploads a thingy
@app.route('/uploader', methods=['POST'])
def upload_file():
if request.method == 'POST':
f = request.files['file']
# Get which probe the user uploaded
probe = request.form.get('probe')
# Get selected probe
activeProbe = request.form.get('activeProbe')
# Check if its a valid file to upload
# TODO: Implement this method
# probeutils.check(probe, f)
# Check if folder exists
if not os.path.exists(
os.path.join(app.config['UPLOAD_FOLDER'], probe)):
os.makedirs(os.path.join(app.config['UPLOAD_FOLDER'], probe))
if not os.path.exists(
os.path.join(app.config['UPLOAD_FOLDER'], probe, 'raw')):
app.config['UPLOAD_FOLDER'], probe, 'raw'))
except Exception:
return render_template('error.html')
# Strip station
# if forceStation is checked, override all station parsing
if (request.form.get("forceStation" + probe) != None):
station = request.form.get("stations" + probe)
if (fnmatch.fnmatch((f.filename).upper(), '*M1*') or fnmatch.fnmatch((f.filename).upper(), 'M1*')):
station = 'M1'
elif (fnmatch.fnmatch((f.filename).upper(), "*M2*") or fnmatch.fnmatch((f.filename).upper(), "M2*")):
station = 'M2'
elif (fnmatch.fnmatch((f.filename).upper(), "*M3*") or fnmatch.fnmatch((f.filename).upper(), "M3*")):
station = 'M3'
# Date Parser of filename
match1 ='\d{4}-\d{2}-\d{2}', f.filename)
if (match1 == None):
match1 ='\d{2}-\d{2}-\d{4}', f.filename)
date = datetime.strptime(, '%d-%m-%Y').date()
except Exception:
# Error! More strange data format XD
match1 ='\d{4}\d{2}\d{2}', f.filename)
if (match1 == None):
match1 ='\d{2}\d{2}\d{4}', f.filename)
date = datetime.strptime(, '%d%m%Y').date()
date = datetime.strptime(, '%Y%m%d').date()
date = datetime.strptime(, '%Y-%m-%d').date()
# Crafting the real overpowered name!!!!
filename = probe + '-' + station + '-'+ activeProbe + '-'+ date.strftime("%Y-%m-%d") + '.csv'
# Setting the filePath and saving it
finalFilename = 'raw-'+filename
rawFilePath = os.path.join(app.config['UPLOAD_FOLDER'], probe, 'raw', finalFilename)
# Start with probe definition
if (probe == 'CastAway'):
''' CastAway Files '''
df_table = probeutils.process_castaway(rawFilePath)
elif (probe == 'SUNA'):
''' SUNA Files '''
df_table = probeutils.process_suna(rawFilePath)
elif (probe == 'FIRe'):
''' FIRe Files '''
df_table = probeutils.process_fire(rawFilePath)
elif (probe == 'PhycoCTD'):
''' PhycoCTD Files '''
df_table = probeutils.process_phyco(rawFilePath)
''' Empty probe '''
df_table = "<div></div>"
# Save file on raw folder and create URL download
url_download = app.config['DOWNLOADS_URL'] + probe + "/" + finalFilename
# Return success webpage
return render_template('successful.html', url=url_download, tables=df_table)
# No POST Found
return render_template('error.html')
## Force regenerate QC
def regenerate():
error_list = []
#for each file in raw folder, execute all QC
PATH = './dataset/FIRe/raw'
for filename in os.listdir(PATH):
filename_nn = probeutils.execution_NN(filename)
except Exception as err:
error_list.append([filename, repr(err)])
#print('Regenerate FIRe done')
PATH = './dataset/PhycoCTD/raw'
for filename in os.listdir(PATH):
except Exception as err:
error_list.append([filename, repr(err)])
#print('Regenerate Phyco done')
return render_template('regenerate.html', error_list=error_list)
if __name__ == '__main__':


@ -0,0 +1,293 @@
from datetime import datetime
from shutil import copy2
import pandas as pd
import numpy as np
import os, csv
UPLOAD_FOLDER = './dataset/'
tableClass = 'table table-striped table-sm table-responsive'
def get_date(probe, file):
''' Test utils file '''
# - Check if is a good file
#def checkUploadedFile(probe, file):
# return 1
# - clean the head of csv, need to extract info an remove the %% (maybe new file with metadata info?) [done]
# - create the empty csv, first row with headers [done]
# - desviation and more data things
def process_castaway(file):
# Copy raw file to process folder
with open(file) as CastAwayFile:
filename = os.path.basename('raw-')
processFilePath = os.path.join(
UPLOAD_FOLDER, 'CastAway', filename)
#copy2(file, processFilePath)
# Getting some metadata info
#with open(file, newline='') as castfile:
# lines = castfile.readlines()
# device = lines[0].split(',')[1].replace('\r\n', '')
# filename = lines[1].split(',')[1].replace('\r\n', '')
# start_latitude = lines[9].split(',')[1].replace('\r\n', '')
# start_longitude = lines[10].split(',')[1].replace('\r\n', '')
# start_altitude = lines[11].split(',')[1].replace('\r\n', '')
# castfile.close()
# Opening the csv with pandas
df = pd.read_csv(file, skiprows=28)
# Extract perfil bajada, el 1 es por el header
index_max = df['Depth (Meter)'].idxmax() + 1
#df_perfilBajada = df[df['depth'].between(0, df['depth'].max())] # No funciona muy bien
# Limitamos a solo el perfil de bajada
df_perfilBajada = df[:index_max]
# Guardamos solo el perfilBajada en carpeta PB
if not os.path.exists(os.path.join(UPLOAD_FOLDER, 'CastAway', 'PB')):
os.makedirs(os.path.join(UPLOAD_FOLDER, 'CastAway', 'PB'))
filenamePB = filename.strip('.csv') + '-PB.csv'
perfilBajadaFilePath = os.path.join(
UPLOAD_FOLDER, 'CastAway', 'PB', filenamePB)
df_perfilBajada.to_csv(perfilBajadaFilePath, index=False)
# Trying to show Dataframe on webpage
return df.to_html(classes=tableClass)
except Exception as ex:
print('Exception: '+repr(ex))
return ex
def process_suna(file):
df = pd.read_csv(file, encoding="ISO-8859-1", header=None)
#df.columns = ['fechaHora', 'INSTRUMENT', 'Start-time', 'Nitrato(uMol/L)','Nitrato(MG/L)', 'ERROR', 'T_lamp', ]
#if not os.path.exists(os.path.join(UPLOAD_FOLDER, 'SUNA', 'HEAD')):
# os.makedirs(os.path.join(UPLOAD_FOLDER, 'SUNA', 'HEAD'))
# Return webpage
return df.to_html(classes=tableClass)
except Exception as ex:
print('Exception: '+repr(ex))
return ex
# - Ask for FIRe examples, actually only bin files found (done)
# - Extract file to process folder (done)
# - Save a File with PAR info
# - Headers on email (ask for new headers)[done]
# - Remove negative values (this, done)
# - Arrange similar windows depth and do measure
def process_fire(file):
''' Processing FIRe '''
# Copy raw file to process folder
with open(file) as FIReFile:
filename_raw = os.path.basename(
filename = os.path.basename('raw-')
#raw_file_path = os.path.join(UPLOAD_FOLDER, 'FIRe', 'raw', filename_raw)
processFilePath = os.path.join(
UPLOAD_FOLDER, 'FIRe', filename)
#copy2(file, processFilePath)
# First, need to check the csv headers
# Open the process file with pandas
df = pd.read_csv(file, header=None)
# Headers (now working fine)
df.columns = ['fechaHora', 'estacion', 'fecha', 'hora', 'profundidad', 'Fo', 'Fm', 'Fv', 'Fv/Fm', 'p', 'Abs_rel', 'Abs_abs', 'led_light', 'ETR', 'coma1', 'coma2', 'coma3', 'coma4', 'coma5', 'coma6','error_norm', 'PAR', 'V', 'cero1', 'cero2', 'cero3', 'cero4', 'raro']
df.loc[:, 'coma1'] = 0
df.loc[:, 'coma2'] = 0
df.loc[:, 'coma3'] = 0
df.loc[:, 'coma4'] = 0
df.loc[:, 'coma5'] = 0
df.loc[:, 'coma6'] = 0
# Fixing empty values
#df.to_csv(os.path.join(UPLOAD_FOLDER, 'FIRe', 'raw', 'raw-'+filename), index=False)
filename_nn = execution_NN(filename_raw)
return df.to_html(classes=tableClass)
except Exception as ex:
print('Exception: '+repr(ex))
return ex
# - Only perfil bajada (done)
def process_phyco(file):
''' Processing PhycoCTD'''
# Copy raw file to process folder
with open(file, "r+") as phycoFile:
# Sustract raw- of filename
filename_raw = os.path.basename(
filename = os.path.basename('raw-')
processFilePath = os.path.join(
UPLOAD_FOLDER, 'PhycoCTD', filename)
#copy2(file, processFilePath)
# Working with the process file
df = pd.read_csv(file, delimiter=';')
# Return webpage
return df.to_html(classes=tableClass)
except Exception as ex:
print('Exception: '+repr(ex))
return ex
def check_if_old_phyco(filename):
# Checking if old file csv
PATH = os.path.join(UPLOAD_FOLDER, 'PhycoCTD', 'raw', filename)
with open(PATH, "r+") as phycoFile:
# Check if old version
line = phycoFile.readline()
if (',' in line):
old = True
old = False
if (old == True):
df_old = pd.read_csv(PATH, header=None, skiprows=1)
if (len(df_old.columns) == 16):
df_old.columns = ['station', 'latitude', 'longitude', 'time', 'depth', 'temp1', 'temp2', 'cdom[gain]',
'cdom[ppb]', 'cdom[mv]', 'pe[gain]', 'pe[ppb]', 'pe[mv]', 'chl[gain]', 'chl[ppb]', 'chl[mv]']
df_old.columns = ['station', 'time', 'depth', 'temp1', 'temp2', 'cdom[gain]', 'cdom[ppb]',
'cdom[mv]', 'pe[gain]', 'pe[ppb]', 'pe[mv]', 'chl[gain]', 'chl[ppb]', 'chl[mv]']
raw_path = os.path.join(UPLOAD_FOLDER, 'PhycoCTD', 'raw', filename)
df_old.to_csv(raw_path, index=False, sep=';')
def execution_pb_phyco(filename):
# Guardamos solo el perfilBajada
if not os.path.exists(os.path.join(UPLOAD_FOLDER, 'PhycoCTD', 'PB')):
os.makedirs(os.path.join(UPLOAD_FOLDER, 'PhycoCTD', 'PB'))
PATH = os.path.join(UPLOAD_FOLDER, 'PhycoCTD', 'raw', filename)
df = pd.read_csv(PATH, delimiter=';')
# Checking if NaN values exists [for hack lab version csv upload]
if (df['temp2'].isnull().sum() > 0):
df.loc[:, 'temp2'] = 0
df = df.dropna()
# Extract perfil bajada, el 1 es por el header
index_max = df['depth'].idxmax() + 1
#df_perfilBajada = df[df['depth'].between(0, df['depth'].max())] # No funciona muy bien
# Limitamos a solo el perfil de bajada
df_pb= df[:index_max]
filename_pb = filename.strip('raw-').strip('.csv') + '-PB.csv'
pb_path = os.path.join(UPLOAD_FOLDER, 'PhycoCTD', 'PB', filename_pb)
df_pb.to_csv(pb_path, sep=';', index=False)
def execution_NN(filename):
PATH = os.path.join(UPLOAD_FOLDER, 'FIRe', 'raw', filename)
df = pd.read_csv(PATH, header=None)
# Headers (now working fine)
df.columns = ['fechaHora', 'estacion', 'fecha', 'hora', 'profundidad', 'Fo', 'Fm', 'Fv', 'Fv/Fm', 'p', 'Abs_rel', 'Abs_abs', 'led_light',
'ETR', 'coma1', 'coma2', 'coma3', 'coma4', 'coma5', 'coma6', 'error_norm', 'PAR', 'V', 'cero1', 'cero2', 'cero3', 'cero4', 'raro']
df.loc[:, 'coma1'] = 0
df.loc[:, 'coma2'] = 0
df.loc[:, 'coma3'] = 0
df.loc[:, 'coma4'] = 0
df.loc[:, 'coma5'] = 0
df.loc[:, 'coma6'] = 0
# NonNegative values rutine
if not os.path.exists(os.path.join(UPLOAD_FOLDER, 'FIRe', 'NN')):
os.makedirs(os.path.join(UPLOAD_FOLDER, 'FIRe', 'NN'))
# Remove rows with negatives values
df_nn = df[(df.iloc[:, 4:27] >= 0).all(1)]
filename_nn = filename.strip('raw-').strip('.csv') + '-NN.csv'
nonnegative_path = os.path.join(UPLOAD_FOLDER, 'FIRe', 'NN', filename_nn)
df_nn.to_csv(nonnegative_path, index=False)
return filename_nn
def execution_PAR(filename):
# PAR rutine
if not os.path.exists(os.path.join(UPLOAD_FOLDER, 'FIRe', 'PAR')):
os.makedirs(os.path.join(UPLOAD_FOLDER, 'FIRe', 'PAR'))
PATH = os.path.join(UPLOAD_FOLDER, 'FIRe', 'NN', filename)
df = pd.read_csv(PATH)
# PAR execution
PAR_columns = ['estacion', 'fecha', 'profundidad', 'Fo', 'Fm', 'Fv', 'Fv/Fm', 'p', 'Abs_rel', 'Abs_abs', 'led_light',
'ETR', 'error_norm', 'PAR']
df_PAR = pd.DataFrame(columns=PAR_columns)
index_max = df['profundidad'].idxmax()
index_min = df['profundidad'].idxmin() + 1
depth_list = df[index_max:index_min]['profundidad'].to_list()
last_value = df['profundidad'].max()
similar_depth = []
for i in range(len(depth_list)):
if (abs(last_value - depth_list[i]) <= 2000):
last_value = depth_list[i]
elif (abs(last_value - depth_list[i]) >= 6000):
## Save the actual list to DataFrame
index_first = pd.to_numeric(df.index[df['profundidad'] == similar_depth[0]])[0]
index_last = pd.to_numeric(df.index[df['profundidad'] == similar_depth[-1]])[0] + 1
df_range = df.iloc[index_first:index_last]
# Working with df_range
estacion = df['estacion'][0]
fecha = df['fecha'][0]
profundidad = df_range['profundidad'].mean()
Fo = df_range['Fo'].mean()
Fm = df_range['Fm'].mean()
Fv = df_range['Fv'].mean()
FvFm = df_range['Fv/Fm'].mean()
p = df_range['p'].mean()
Abs_rel = df_range['Abs_rel'].mean()
Abs_abs = df_range['Abs_abs'].mean()
led_light = df_range['led_light'].mean()
ETR = df_range['ETR'].mean()
error_norm = df_range['error_norm'].mean()
PAR = df_range['PAR'].mean()
data = [estacion, fecha, profundidad, Fo, Fm, Fv, FvFm, p, Abs_rel, Abs_abs, led_light, ETR, error_norm, PAR]
row = pd.Series(data, index=PAR_columns)
df_PAR = df_PAR.append(row, ignore_index=True)
## Empty the list
similar_depth = []
last_value = depth_list[i]
## Adding to the new list
# Saving the DataFrame
# TODO: check last values, around 400 depth
filenamePAR = filename.strip('-NN.csv') + '-PAR.csv'
PARFilePath = os.path.join(UPLOAD_FOLDER, 'FIRe', 'PAR', filenamePAR)
df_PAR.to_csv(PARFilePath, index=False)


@ -0,0 +1,3 @@


@ -0,0 +1,265 @@
/*! HTML5 Boilerplate v7.3.0 | MIT License | */
/* main.css 2.0.0 | MIT License | */
* What follows is the result of much research on cross-browser styling.
* Credit left inline and big thanks to Nicolas Gallagher, Jonathan Neal,
* Kroc Camen, and the H5BP dev community and team.
/* ==========================================================================
Base styles: opinionated defaults
========================================================================== */
html {
color: #222;
font-size: 1em;
line-height: 1.4;
* Remove text-shadow in selection highlight:
* Vendor-prefixed and regular ::selection selectors cannot be combined:
* Customize the background color to match your design.
::-moz-selection {
background: #b3d4fc;
text-shadow: none;
::selection {
background: #b3d4fc;
text-shadow: none;
* A better looking default horizontal rule
hr {
display: block;
height: 1px;
border: 0;
border-top: 1px solid #ccc;
margin: 1em 0;
padding: 0;
* Remove the gap between audio, canvas, iframes,
* images, videos and the bottom of their containers:
video {
vertical-align: middle;
* Remove default fieldset styles.
fieldset {
border: 0;
margin: 0;
padding: 0;
* Allow only vertical resizing of textareas.
textarea {
resize: vertical;
/* ==========================================================================
Browser Upgrade Prompt
========================================================================== */
.browserupgrade {
margin: 0.2em 0;
background: #ccc;
color: #000;
padding: 0.2em 0;
/* ==========================================================================
Author's custom styles
========================================================================== */
/* ==========================================================================
Helper classes
========================================================================== */
* Hide visually and from screen readers
.hidden {
display: none !important;
* Hide only visually, but have it available for screen readers:
* 1. For long content, line feeds are not interpreted as spaces and small width
* causes content to wrap 1 word per line:
.sr-only {
border: 0;
clip: rect(0, 0, 0, 0);
height: 1px;
margin: -1px;
overflow: hidden;
padding: 0;
position: absolute;
white-space: nowrap;
width: 1px;
/* 1 */
* Extends the .sr-only class to allow the element
* to be focusable when navigated to via the keyboard:
.sr-only.focusable:focus {
clip: auto;
height: auto;
margin: 0;
overflow: visible;
position: static;
white-space: inherit;
width: auto;
* Hide visually and from screen readers, but maintain layout
.invisible {
visibility: hidden;
* Clearfix: contain floats
* For modern browsers
* 1. The space content is one way to avoid an Opera bug when the
* `contenteditable` attribute is included anywhere else in the document.
* Otherwise it causes space to appear at the top and bottom of elements
* that receive the `clearfix` class.
* 2. The use of `table` rather than `block` is only necessary if using
* `:before` to contain the top-margins of child elements.
.clearfix:after {
content: " ";
/* 1 */
display: table;
/* 2 */
.clearfix:after {
clear: both;
/* ==========================================================================
EXAMPLE Media Queries for Responsive Design.
These examples override the primary ('mobile first') styles.
Modify as content requires.
========================================================================== */
@media only screen and (min-width: 35em) {
/* Style adjustments for viewports that meet the condition */
@media print,
(-webkit-min-device-pixel-ratio: 1.25),
(min-resolution: 1.25dppx),
(min-resolution: 120dpi) {
/* Style adjustments for high resolution devices */
/* ==========================================================================
Print styles.
Inlined to avoid the additional HTTP request:
========================================================================== */
@media print {
*:after {
background: transparent !important;
color: #000 !important;
/* Black prints faster */
box-shadow: none !important;
text-shadow: none !important;
a:visited {
text-decoration: underline;
a[href]:after {
content: " (" attr(href) ")";
abbr[title]:after {
content: " (" attr(title) ")";
* Don't show links that are fragment identifiers,
* or use the `javascript:` pseudo protocol
a[href^="javascript:"]:after {
content: "";
pre {
white-space: pre-wrap !important;
blockquote {
border: 1px solid #999;
page-break-inside: avoid;
* Printing Tables:
thead {
display: table-header-group;
img {
page-break-inside: avoid;
h3 {
orphans: 3;
widows: 3;
h3 {
page-break-after: avoid;


@ -0,0 +1,349 @@
/*! normalize.css v8.0.1 | MIT License | */
/* Document
========================================================================== */
* 1. Correct the line height in all browsers.
* 2. Prevent adjustments of font size after orientation changes in iOS.
html {
line-height: 1.15; /* 1 */
-webkit-text-size-adjust: 100%; /* 2 */
/* Sections
========================================================================== */
* Remove the margin in all browsers.
body {
margin: 0;
* Render the `main` element consistently in IE.
main {
display: block;
* Correct the font size and margin on `h1` elements within `section` and
* `article` contexts in Chrome, Firefox, and Safari.
h1 {
font-size: 2em;
margin: 0.67em 0;
/* Grouping content
========================================================================== */
* 1. Add the correct box sizing in Firefox.
* 2. Show the overflow in Edge and IE.
hr {
box-sizing: content-box; /* 1 */
height: 0; /* 1 */
overflow: visible; /* 2 */
* 1. Correct the inheritance and scaling of font size in all browsers.
* 2. Correct the odd `em` font sizing in all browsers.
pre {
font-family: monospace, monospace; /* 1 */
font-size: 1em; /* 2 */
/* Text-level semantics
========================================================================== */
* Remove the gray background on active links in IE 10.
a {
background-color: transparent;
* 1. Remove the bottom border in Chrome 57-
* 2. Add the correct text decoration in Chrome, Edge, IE, Opera, and Safari.
abbr[title] {
border-bottom: none; /* 1 */
text-decoration: underline; /* 2 */
text-decoration: underline dotted; /* 2 */
* Add the correct font weight in Chrome, Edge, and Safari.
strong {
font-weight: bolder;