-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathpoc.py
196 lines (173 loc) · 7.23 KB
/
poc.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
import os
import requests
import dateutil.parser
from datetime import datetime, timedelta
from bs4 import BeautifulSoup
import pytz
import boto
import json
import os
from itertools import chain
pacific = pytz.timezone('US/Pacific')
SCRIPT_DIR = os.path.dirname(os.path.realpath(__file__))
def getrows(dt=None):
if dt is None:
dt = datetime.now(pacific)
url = 'http://waterdata.usgs.gov/nwis/uv?cb_00010=on&cb_00060=on&cb_00065=on&cb_00095=on&cb_00055=on&cb_00300=on&cb_00400=on&cb_63680=on&cb_62361=on&cb_95204=on&cb_99137=on&cb_32295=on&format=rdb&site_no=14211720&period=&begin_date={:%Y-%m-%d}&end_date={:%Y-%m-%d}'.format(dt - timedelta(days=5), dt)
response = requests.get(url)
response.raise_for_status()
header = None
for line in response.text.splitlines():
line = line.strip()
if line.startswith('#'):
continue
parts = line.split('\t')
if header is None:
header = parts
continue
row = dict(zip(header, parts))
if row['agency_cd'] != 'USGS':
continue
date = '{} {}'.format(row['datetime'], row['tz_cd'])
dt = dateutil.parser.parse(date)
row['dt'] = dt
yield row
def get_most_recent_dt_and_value(rows, key):
row = max([r for r in rows if r.get(key, '') != ''], key=lambda r: r['dt'])
return row['dt'], row[key]
def gen_bes_ecoli(url, rank=0):
response = requests.get(url)
response.raise_for_status()
soup = BeautifulSoup(response.text, 'html.parser')
div = soup.find_all('div', {'class': 'contentHeaderWrap big'})[0]
name = div.getText().strip()
table = soup.find_all('table', attrs={'class':'rt'})[0]
rows = table.find_all('tr')
header_row = rows.pop(0)
hcells = header_row.find_all('td')
assert 'e. coli' in hcells[2].getText().lower()
assert 'temperature' in hcells[1].getText().lower()
assert 'collection date' in hcells[0].getText().lower()
labels = ['date', 'tempf', 'ecoli']
for row in rows:
cells = row.find_all('td', {'class': 'bluecell'})
if len(cells) != 3:
continue
date = cells[0].getText().strip()
try:
dt = dateutil.parser.parse(date)
except ValueError:
print date
raise
yield {
'dt': pacific.localize(dt),
'tempf': float(cells[1].getText().strip()),
'ecoli': float(cells[2].getText().strip()),
'rank': rank,
'name': name,
}
def get_nearby_algae_bloom_advisories():
# info https://data.oregon.gov/Recreation/Algae-Bloom-Advisories/hhdb-h5ge
with open(os.path.join(SCRIPT_DIR, 'willamette-zone.wkt')) as f:
poly_wkt = f.read()
url = 'https://data.oregon.gov/resource/muwp-rr44.json'
query = {
'$where': 'within_polygon(location, "{}")'.format(poly_wkt),
}
response = requests.get(url, params=query)
try:
response.raise_for_status()
except:
print response.text
raise
results = response.json()
return results
def lambda_handler(event, context):
data = get_data_and_push_to_s3()
text = json.dumps(data, indent=2)
return { "detail": "Updated s3 with {} chars".format(len(text)), "data": data }
def get_data_and_push_to_s3():
data = get_data()
upload_to_s3(data)
return data
def get_data():
rows = list(getrows())
boathouse = list(gen_bes_ecoli('http://www.portlandoregon.gov/bes/waterquality/results.cfm?location_id=7131', 2))
morrison = list(gen_bes_ecoli('http://www.portlandoregon.gov/bes/waterquality/results.cfm?location_id=1727', 1))
marina = list(gen_bes_ecoli('http://www.portlandoregon.gov/bes/waterquality/results.cfm?location_id=7132', 0))
ecoli_history = sorted(chain(boathouse, morrison, marina), key=lambda r: (r['dt'], r['rank']), reverse=True)
ecoli = ecoli_history[0]
k_TC = '172755_00010'
k_tb = '172757_63680'
k_cy = '173554_95204'
TCdt, TC = get_most_recent_dt_and_value(rows, k_TC)
tbdt, tb = get_most_recent_dt_and_value(rows, k_tb)
cydt, cy = get_most_recent_dt_and_value(rows, k_cy)
data = {
'temperature_celsius': float(TC),
'temperature_date': str(TCdt),
#'turbidity': float(tb),
#'turbidity_date': str(tbdt),
'ecoli': float(ecoli['ecoli']),
'ecoli_date': str(ecoli['dt']),
#'cyanobacteria': float(cy),
#'cyanobacteria_date': str(cydt),
'algae_bloom_advisories': get_nearby_algae_bloom_advisories(),
'generated_date': str(pytz.utc.localize(datetime.utcnow())),
'history': {
'usgs_temperature':
[
{
'celsius': float(r[k_TC]),
'fahrenheit': 9./5. * float(r[k_TC]) + 32.,
'date': str(r['dt'])
}
for r in rows if r.get(k_TC, '') != ''
],
#'usgs_turbidity':
# [
# {
# 'turbidity': float(r[k_tb]),
# 'date': str(r['dt']),
# }
# for r in rows if r.get(k_tb, '') != ''
# ],
'bes_ecoli':
[
{
'date': str(r['dt']),
'temperature_fahrenheit': r['tempf'],
'organisms_per_100ml': r['ecoli'],
'weight': -r['rank'], # relevance to hawthorne bridge dock. lower numbers more relevant.
'location_name': r['name'],
}
for r in ecoli_history
],
},
'human_readable_source_links': [
{
'agency': 'USGS',
'description': 'National Water Information System, Willamette River station',
'url': 'http://waterdata.usgs.gov/nwis/uv?cb_00010=on&cb_00060=on&cb_00065=on&cb_00095=on&cb_00055=on&cb_00300=on&cb_00400=on&cb_63680=on&cb_62361=on&cb_95204=on&cb_99137=on&cb_32295=on&format=html&site_no=14211720&period=7',
},
{
'agency': 'City of Portland, BES',
'description': 'Environmental Services collects water samples from the river monthly at three locations to analyze long-term water quality trends for nutrients, metals and bacteria. From May to October, field staff also collect weekly samples from five Willamette River public access points to give recreational users more frequent information about bacteria levels.',
'url': 'https://www.portlandoregon.gov/bes/waterquality/results.cfm',
},
{
'agency': 'Oregon Health Authority',
'description': 'Blue-green algae advisories for the state of Oregon',
'url': 'https://public.health.oregon.gov/HealthyEnvironments/Recreation/HarmfulAlgaeBlooms/Pages/Blue-GreenAlgaeAdvisories.aspx',
},
]
}
return data
def upload_to_s3(data):
s3 = boto.connect_s3()
key = s3.get_bucket('howsthewater').new_key('data.json')
key.set_contents_from_string(json.dumps(data, indent=2))
key.set_acl('public-read')
if __name__ == '__main__':
data = get_data()
print json.dumps(data, indent=2)