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Unverified Commit 8961a3f1 authored by mnooj's avatar mnooj Committed by GitHub
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Procfile 0 → 100644
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web: gunicorn visualizer:app
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requirements.txt 0 → 100644
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cachetools==5.0.0
certifi==2021.10.8
charset-normalizer==2.0.12
click==8.0.4
cycler==0.11.0
Flask==2.0.3
fonttools==4.29.1
frozendict==2.3.0
gunicorn==20.1.0
idna==3.3
itsdangerous==2.1.0
Jinja2==3.0.3
json5==0.9.6
kiwisolver==1.3.2
lxml==4.8.0
MarkupSafe==2.1.0
matplotlib==3.5.1
numpy==1.22.2
packaging==21.3
Pillow==9.0.1
PyLD==2.0.3
pyparsing==3.0.7
python-dateutil==2.8.2
requests==2.27.1
six==1.16.0
urllib3==1.26.8
Werkzeug==2.0.3
runtime.txt 0 → 100644
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python-3.10.2
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static/logo.png 0 → 100644
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static/logo.png

209 KiB

templates/index.html 0 → 100644
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel='stylesheet' id='uwmadison-fonts-css' href='https://amrdc.ssec.wisc.edu/wp-test/wp-content/themes/amrdc-theme/dist/fonts/uw160/fonts.css?ver=1.0.0' type='text/css' media='all' />
<link rel='stylesheet' id='uwmadison-style-css' href='https://amrdc.ssec.wisc.edu/wp-test/wp-content/themes/amrdc-theme/dist/main.min.css?ver=0.7.0' type='text/css' media='all' />
<style type="text/css">
#header {
padding: 10px;
vertical-align: top;
}
#names_list,
#years_list,
#measurements,
#button,
#overlay_check {
display: inline-table;
padding: 10px;
zoom: 1;
}
h1 {
margin-right: 40%;
padding: 0px;
}
select {
width: 200px;
font-size: 16px;
border: 1px solid #CCC;
cursor: pointer;
background-color: #fff;
}
#repo_link {
padding-bottom: 30px;
}
</style>
</head>
<body>
<div id="header">
<div id="logo">
<a href="https://amrdcdata.ssec.wisc.edu"><img src="{{url_for('static', filename='logo.png')}}" width="75" height="75" align="left"/></a>
</div>
<div id="title">
<h1 align="right">Data Visualizer</h1>
</div>
</div>
<div id="names_list">
<select name="names" id="names" onchange="getYears()">
<option value="">Select Station</option>
</select>
</div>
<div id="years_list">
<select name="years" id="years">
<option value="">Select Year</option>
</select>
</div>
<div id="measurements">
<select name="meas" id="meas">
<option value="">Select Measurement</option>
<option value="1">Temperature</option>
<option value="2">Pressure</option>
<option value="3">Wind Speed</option>
</select>
</div>
<div id="button">
<input type="submit" value="Visualize" onclick="visualize()">
</div>
<div id="overlay_check">
<input type="checkbox" id="overlay_box" name="overlay_box" onclick="location.href = '/index2';">
<label for="overlay_box">Overlay second dataset</label>
</div>
<center>
<hr>
<div id="graph"></div>
<div id="divider"></div>
<div id="repo_link">
<a id="link_anchor"></a>
</div>
</center>
<script type="text/javascript">
fetch('/list')
.then(function (response) {
return response.json();
})
.then(function (data) {
appendData(data);
})
.catch(function (err) {
console.log('error: ' + err);
});
function appendData(data) {
var select = document.getElementById("names");
select.options.length = 0;
var option = document.createElement("option");
option.value = "";
option.text = "Select Station";
select.appendChild(option);
for (var i = 0; i < data.length; i++) {
var option = document.createElement("option");
option.value = data[i];
option.text = data[i];
select.appendChild(option);
}
}
function getYears() {
var name = document.getElementById("names").value;
data2 = {}
fetch("/years?name=" + name)
.then(function (response) {
return response.json();
})
.then(function (data2) {
appendYears(data2);
})
.catch(function (err) {
console.log('error: ' + err);
});
function appendYears(data2) {
var years = document.getElementById("years");
years.options.length = 0;
var option = document.createElement("option");
option.value = "";
option.text = "Select Year";
years.appendChild(option);
for (var i = 0; i < data2.length; i++) {
var option = document.createElement("option");
option.value = data2[i];
option.text = data2[i];
years.appendChild(option);
}
}
}
function visualize() {
var name = document.getElementById("names").value;
var year = document.getElementById("years").value;
var field = document.getElementById("meas").value;
var graph = document.getElementById("graph");
var repo_link = document.getElementById("repo_link");
var divider = document.getElementById("divider");
divider.innerHTML = "<hr>"
fetch("/plot?name=" + name + "&year=" + year + "&field=" + field)
.then(function (response) {
return response.text();
})
.then(function (response) {
graph.innerHTML = response;
})
.catch(function (err) {
console.log('error: ' + err);
});
fetch("/repo/" + name + "/" + year)
.then(function (response) {
return response.text();
})
.then(function (response) {
var a = document.getElementById('link_anchor');
a.innerHTML = "";
var link = document.createTextNode("Source: AMRDC Data Repository");
a.appendChild(link);
a.title = "AMRDC Data Repository";
a.href = response;
repo_link.appendChild(a);
})
.catch(function (err) {
console.log('error: ' + err);
});
}
</script>
</body>
</html>
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templates/overlay.html 0 → 100644
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel='stylesheet' id='uwmadison-fonts-css' href='https://amrdc.ssec.wisc.edu/wp-test/wp-content/themes/amrdc-theme/dist/fonts/uw160/fonts.css?ver=1.0.0' type='text/css' media='all' />
<link rel='stylesheet' id='uwmadison-style-css' href='https://amrdc.ssec.wisc.edu/wp-test/wp-content/themes/amrdc-theme/dist/main.min.css?ver=0.7.0' type='text/css' media='all' />
<style type="text/css">
#header {
padding: 10px;
vertical-align: top;
}
#names_list,
#years_list,
#measurements,
#button,
#overlay_check {
display: inline-table;
padding: 10px;
zoom: 1;
}
h1 {
margin-right: 40%;
padding: 0px;
}
#names_list2,
#years_list2 {
display: inline-table;
padding: 0px 10px 10px 10px;
zoom: 1;
}
select {
width: 200px;
font-size: 16px;
border: 1px solid #CCC;
cursor: pointer;
background-color: #fff;
}
#repo_link2 {
padding-bottom: 30px;
}
</style>
</head>
<body>
<div id="header">
<div id="logo">
<a href="https://amrdcdata.ssec.wisc.edu"><img src="{{url_for('static', filename='logo.png')}}" width="75" height="75" align="left"/></a>
</div>
<div id="title">
<h1 align="right">Data Visualizer</h1>
</div>
</div>
<div id="names_list">
<select name="names" id="names" onchange="getYears()">
<option value="">Select Station</option>
</select>
</div>
<div id="years_list">
<select name="years" id="years">
<option value="">Select Year</option>
</select>
</div>
<div id="measurements">
<select name="meas" id="meas">
<option value="">Select Measurement</option>
<option value="1">Temperature</option>
<option value="2">Pressure</option>
<option value="3">Wind Speed</option>
</select>
</div>
<div id="button">
<input type="submit" value="Visualize" onclick="overlay()">
</div>
<div id="overlay_check">
<input type="checkbox" id="overlay_box" name="overlay_box" checked onclick="location.href = '/';">
<label for="overlay_box">Overlay second dataset</label>
</div>
<br>
<div id="names_list2">
<select name="names2" id="names2" onchange="getYears2()">
<option value="">Select Station</option>
</select>
</div>
<div id="years_list2">
<select name="years2" id="years2">
<option value="">Select Year</option>
</select>
</div>
<center>
<hr>
<div id="graph"></div>
<div id="divider"></div>
<div id="repo_link">
<a id="link_anchor"></a>
</div>
<div id="repo_link2">
<a id="link_anchor2"></a>
</div>
</center>
<script type="text/javascript">
fetch('/list')
.then(function (response) {
return response.json();
})
.then(function (data) {
appendData(data);
appendData2(data);
})
.catch(function (err) {
console.log('error: ' + err);
});
function appendData(data) {
var select = document.getElementById("names");
select.options.length = 0;
var option = document.createElement("option");
option.value = "";
option.text = "Select Station";
select.appendChild(option);
for (var i = 0; i < data.length; i++) {
var option = document.createElement("option");
option.value = data[i];
option.text = data[i];
select.appendChild(option);
}
}
function appendData2(data) {
var select = document.getElementById("names2");
select.options.length = 0;
var option = document.createElement("option");
option.value = "";
option.text = "Select Station";
select.appendChild(option);
for (var i = 0; i < data.length; i++) {
var option = document.createElement("option");
option.value = data[i];
option.text = data[i];
select.appendChild(option);
}
}
function getYears() {
var name = document.getElementById("names").value;
data2 = {}
fetch("/years?name=" + name)
.then(function (response) {
return response.json();
})
.then(function (data2) {
appendYears(data2);
})
.catch(function (err) {
console.log('error: ' + err);
});
function appendYears(data2) {
var years = document.getElementById("years");
years.options.length = 0;
var option = document.createElement("option");
option.value = "";
option.text = "Select Year";
years.appendChild(option);
for (var i = 0; i < data2.length; i++) {
var option = document.createElement("option");
option.value = data2[i];
option.text = data2[i];
years.appendChild(option);
}
}
}
function getYears2() {
var name = document.getElementById("names2").value;
data2 = {}
fetch("/years?name=" + name)
.then(function (response) {
return response.json();
})
.then(function (data2) {
appendYears(data2);
})
.catch(function (err) {
console.log('error: ' + err);
});
function appendYears(data2) {
var years = document.getElementById("years2");
years.options.length = 0;
var option = document.createElement("option");
option.value = "";
option.text = "Select Year";
years.appendChild(option);
for (var i = 0; i < data2.length; i++) {
var option = document.createElement("option");
option.value = data2[i];
option.text = data2[i];
years.appendChild(option);
}
}
}
function overlay() {
var name = document.getElementById("names").value;
var year = document.getElementById("years").value;
var field = document.getElementById("meas").value;
var name2 = document.getElementById("names2").value;
var year2 = document.getElementById("years2").value;
var graph = document.getElementById("graph");
var repo_link = document.getElementById("repo_link");
var repo_link2 = document.getElementById("repo_link2");
var divider = document.getElementById("divider");
divider.innerHTML = "<hr>"
fetch("/overlay?name=" + name + "&year=" + year + "&field=" + field + "&name2=" +
name2 + "&year2=" + year2)
.then(function (response) {
return response.text();
})
.then(function (response) {
graph.innerHTML = response;
})
.catch(function (err) {
console.log('error: ' + err);
});
fetch("/repo/" + name + "/" + year)
.then(function (response) {
return response.text();
})
.then(function (response) {
var a = document.getElementById('link_anchor');
a.innerHTML = "";
var link = document.createTextNode("Source #1: AMRDC Data Repository\n");
a.appendChild(link);
a.title = "AMRDC Data Repository";
a.href = response;
repo_link.appendChild(a);
})
.catch(function (err) {
console.log('error: ' + err);
});
fetch("/repo/" + name2 + "/" + year2)
.then(function (response) {
return response.text();
})
.then(function (response) {
var a = document.getElementById('link_anchor2');
a.innerHTML = "";
var link = document.createTextNode("Source #2: AMRDC Data Repository\n");
a.appendChild(link);
a.title = "AMRDC Data Repository";
a.href = response;
repo_link2.appendChild(a);
})
.catch(function (err) {
console.log('error: ' + err);
});
}
</script>
</body>
</html>
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visualizer.py 0 → 100644
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# This program accesses AWS and South Pole station observational data via the AMRDC Data Repository
# and generates simple line charts based on temperature, pressure, and wind speed measurements.
# Programmed by Matthew G. Noojin for the Antarctic Meteorological Research and Data Center, 2022
from flask import Flask, jsonify, request, render_template
from urllib.request import urlopen
import datetime
import matplotlib.pyplot as plt
import matplotlib
import base64
from io import BytesIO
import numpy as np
from pyld import jsonld
import json
app = Flask(__name__)
RECORDS = "https://raw.githubusercontent.com/mnooj/amrdc_data_visualizer/main/amrdcrecords.txt"
plt.style.use('ggplot')
plt.rcParams['axes.xmargin'] = 0
matplotlib.use('Agg')
@app.route('/')
def home_page():
return render_template('index.html')
@app.route('/index2')
def overlay_index():
return render_template('overlay.html')
def get_record_list():
record_list = [
] # [ ["South Pole", ['1958', URL], ['1959, URL], ... ], ["Byrd", ...] ]
data = urlopen(RECORDS)
for line in data:
decoded_line = line.decode("utf-8")
decoded_line = decoded_line.rstrip('\n')
row = decoded_line.split(",")
for item in row:
if "\n" in item:
item.split("\n")
if len(row) == 1:
record_list.append([row[0]])
else:
record_list[-1].append([row[0], row[1]])
return record_list
## Returns a list of record_names + generates records_list of URLS organized by station name / year
@app.route("/list")
def get_record_names():
record_names = []
record_list = get_record_list()
for item in record_list:
record_names.append(item[0])
return jsonify(record_names)
## Returns a list of records by year for selected station
@app.route("/years", methods=['GET', 'POST'])
def get_record_years():
record_list = get_record_list()
name = request.args.get('name')
years = []
for row in record_list:
if row[0] == name:
for item in row[1:]:
years.append(item[0])
break
return jsonify(years)
## Returns a graph of selected data
@app.route("/plot", methods=['GET', 'POST'])
def plot():
selection = request.args.get('name')
year = request.args.get('year')
index = int(request.args.get('field'))
link = get_link(selection, year)
json_link = link + ".jsonld"
units = [None, "Temperature (C)", "Pressure (hPa)", "Wind Speed (m/s)"]
field = units[index]
data = readData(selection, year, json_link)
fig, plot = plt.subplots()
fig.set_figheight(6)
fig.set_figwidth(12)
plot.plot(data[:, 0], data[:, index])
avg = np.nanmean(data[:, index], dtype='float32')
plot.hlines(y=avg,
xmin=data[:, 0][0],
xmax=data[:, 0][-1],
linestyle='-',
alpha=0.7)
plot.set_ylabel(units[index])
plot.grid(True)
max = [data[0][0], data[0][index]]
min = [data[0][0], data[0][index]]
for row in data:
if max[1] <= row[index]:
max = [row[0], row[index]]
if min[1] >= row[index]:
min = [row[0], row[index]]
plot.set_title('Max ' + field + ': ' + str(max[1]) + ' - ' + str(max[0]) +
'. Min ' + field + ': ' + str(min[1]) + ' - ' + str(min[0]),
fontsize='small')
plt.suptitle(field + " measurements, " + selection + ' Station, ' +
str(data[0][0].year))
buf = BytesIO()
fig.savefig(buf, format="png")
data = base64.b64encode(buf.getbuffer()).decode("ascii")
return f"<img src='data:image/png;base64,{data}'/>"
@app.route("/overlay", methods=['GET', 'POST'])
def plot_overlay():
selection = request.args.get('name')
year = request.args.get('year')
index = int(request.args.get('field'))
link = get_link(selection, year)
json_link = link + ".jsonld"
selection2 = request.args.get('name2')
year2 = request.args.get('year2')
link2 = get_link(selection2, year2)
json_link2 = link2 + ".jsonld"
units = [None, "Temperature (C)", "Pressure (hPa)", "Wind Speed (m/s)"]
field = units[index]
data = readData(selection, year, json_link)
data2 = readData(selection2, year2, json_link2)
fig, plot = plt.subplots()
fig.set_figheight(6)
fig.set_figwidth(12)
temp_data = [] ## Should deal with Leap Year here
temp_data2 = []
for row in data:
if row[0].day == 29 and row[0].month == 2:
continue
else:
temp_data.append(row)
data = np.array(temp_data)
for row in data2:
if row[0].day == 29 and row[0].month == 2:
continue
else:
temp_data2.append(row)
data2 = np.array(temp_data2)
plot.plot(data[:, 0],
data[:, index],
label=(selection + ' ' + str(data[0][0].year)))
plot.plot(data[:, 0],
data2[:, index],
alpha=0.6,
label=(selection2 + ' ' + str(data2[0][0].year)))
avg1 = np.nanmean(data[:, index], dtype='float32')
avg2 = np.nanmean(data2[:, index], dtype='float32')
plot.hlines(y=avg1,
xmin=data[:, 0][0],
xmax=data[:, 0][-1],
alpha=0.7,
label=('Avg ' + selection + ' ' + str(data[0][0].year)))
plot.hlines(y=avg2,
xmin=data[:, 0][0],
xmax=data[:, 0][-1],
alpha=0.7,
label=('Avg ' + selection2 + ' ' + str(data2[0][0].year)))
plot.set_ylabel(units[index])
max = [data[0][0], data[0][index], selection]
min = [data[0][0], data[0][index], selection]
for row in data:
if max[1] <= row[index]:
max = [row[0], row[index], selection]
if min[1] >= row[index]:
min = [row[0], row[index], selection]
for row in data2:
if max[1] <= row[index]:
max = [row[0], row[index], selection2]
if min[1] >= row[index]:
min = [row[0], row[index], selection2]
plot.grid(True)
plot.set_title('Max ' + field + ': ' + str(max[1]) + ", " + max[2] +
' Station, ' + str(max[0]) + '. Min ' + field + ': ' +
str(min[1]) + ", " + min[2] + ' Station, ' + str(min[0]),
fontsize='small')
plot.legend()
plot.tick_params(labelbottom=False)
plt.suptitle(field + " measurements, " + selection + ' Station, ' +
str(data[0][0].year) + ' / ' + selection2 + ' Station, ' +
str(data2[0][0].year))
buf = BytesIO()
fig.savefig(buf, format="png")
data = base64.b64encode(buf.getbuffer()).decode("ascii")
return f"<img src='data:image/png;base64,{data}'/>"
@app.route("/repo/<string:selection>/<string:year>", methods=['GET', 'POST'])
def get_link(selection, year):
link = ""
record_list = get_record_list()
for item in record_list:
if item[0] == selection:
for record in item[1:]:
if record[0] == year:
link = record[1]
break
return link
def get_resources(station_yearly_record):
doc = jsonld.flatten(station_yearly_record)
doc = json.dumps(doc)
resource_list = []
data = doc.split('"')
for string in data:
if "download" in string:
resource_list.append(string)
pop_list = []
for item in reversed(resource_list):
if "10min" in item or "3hr" in item:
pop_list.append(resource_list.index(item))
for index in pop_list:
resource_list.pop(index)
return resource_list
def readData(name, year, json_link):
daily_data = []
resource_list = get_resources(json_link)
for url in resource_list:
data = urlopen(url)
if name == "South Pole Station":
for line in data:
decoded_line = line.decode("utf-8")
row = decoded_line.split()
time = int(row[3])
day = datetime.datetime(int(year), int(row[1]), int(row[2]),
int(time / 100), 00)
temp = float(row[7])
pressure = float(row[8])
windspeed = float(row[5])
daily_data.append([day, temp, pressure, windspeed])
else:
for line in range(2):
next(data)
for line in data:
decoded_line = line.decode("utf-8")
row = decoded_line.split()
time = int(row[4])
day = datetime.datetime(int(year), int(row[2]), int(row[3]),
int(time / 100), 00)
temp = float(row[5])
pressure = float(row[6])
windspeed = float(row[7])
daily_data.append([day, temp, pressure, windspeed])
for row in daily_data: ### Replace outliers with nan
if row[1] >= 99.9:
row[1] = np.nan
if row[2] >= 9999.9:
row[2] = np.nan
if row[3] >= 99.9:
row[3] = np.nan
daily_data = np.array(daily_data)
daily_data = daily_data[daily_data[:, 0].argsort()]
return daily_data
if __name__ == '__main__':
app.run()
\ No newline at end of file
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