def sites_occ_update(database=site_database, collection=config.occ_site_collection): #,delete=True):
'''**************************
Task to update OCC
Sites
'''
db = Connection(mongoHost)
#backup collection
now = datetime.now()
#get rtree spatial index and data object
idx, data = gis_tools.ok_watershed_aquifer_rtree()
for rec in db[database][collection].find():
#set watershed and aquifer
try:
x, y = gis_tools.transform_point(rec['Lat'], rec['Long'])
hits = list(idx.intersection((x, y, x, y))) #, objects=True)) #[0] #[0].object
aPoint = Point(x, y)
rec['watersheds']=[]
rec['aquifers']=[]
rec['huc_8']=""
rec['huc_4']=""
row_data = set_geo(rec, aPoint, hits, data)
#Save site data
db[database][collection].save(row_data)
except Exception as err:
pass
return {'source': 'occ', 'database': database,'collection': collection,
'record_count': db[database][collection].count()}
def sites_occ_update(database=site_database,
collection=config.occ_site_collection): #,delete=True):
'''**************************
Task to update OCC
Sites
'''
db = Connection(mongoHost)
#backup collection
now = datetime.now()
#get rtree spatial index and data object
idx, data = gis_tools.ok_watershed_aquifer_rtree()
for rec in db[database][collection].find():
#set watershed and aquifer
try:
x, y = gis_tools.transform_point(rec['Lat'], rec['Long'])
hits = list(idx.intersection(
(x, y, x, y))) #, objects=True)) #[0] #[0].object
aPoint = Point(x, y)
rec['watersheds'] = []
rec['aquifers'] = []
rec['huc_8'] = ""
rec['huc_4'] = ""
row_data = set_geo(rec, aPoint, hits, data)
#Save site data
db[database][collection].save(row_data)
except Exception as err:
pass
return {
'source': 'occ',
'database': database,
'collection': collection,
'record_count': db[database][collection].count()
}
def owrb_set_geo_latest(database=config.owrb_database, collection=config.owrb_site_collection,
collection_data=config.owrb_well_collection):
db = Connection(config.mongo_host)
#get rtree spatial index and data object
idx, data = gis_tools.ok_watershed_aquifer_rtree()
total_ct = 0
update_ct = 0
for site in db[database][collection].find():
site['watersheds'] = []
site['aquifers'] = []
site["huc_4"] = ''
site["huc_8"] = ''
site["aquifer"] = ''
site['last_activity'] = ''
total_ct += 1
#set watershed and aquifer
try:
try:
dates = db[database][collection_data].find({'site': str(site['WELL_ID'])}).distinct('observed_date')
days =set([])
for day in dates:
date_object = datetime.strptime(day,'%m/%d/%Y %I:%M %p')
days.add(date_object.strftime("%Y-%m-%d"))
ldays = list(days).sort()
site['last_activity'] = ldays[-1]
except:
pass
x, y = gis_tools.transform_point(site['LATITUDE'], site['LONGITUDE'])
hits = list(idx.intersection((x, y, x, y)))
aPoint = Point(x, y)
row_data = set_geo(site, aPoint, hits, data)
update_ct += 1
db[database][collection].save(row_data)
except:
db[database][collection].save(site)
return {'total_count': total_ct, 'updated_count': update_ct}
def sites_usgs_wq(database=site_database, collection='usgs_wq_site', delete=True):
'''
Task to update USEPA and USGS
Water Quality sites
'''
db = Connection(mongoHost)
#backup collection
now = datetime.now()
collection_backup = "%s_%s" % (collection, now.strftime("%Y_%m_%d_%H%M%S") )
#get rtree spatial index and data object
idx, geo_data = gis_tools.ok_watershed_aquifer_rtree()
#if delete:
# db[database][collection].remove()
url_site = config.wqp_site
sites = urllib2.urlopen(url_site)
output = StringIO.StringIO(sites.read())
head = output.readline()
head = head.replace('/', '-').strip('\r\n').split(',')
reader = csv.DictReader(output, head)
# set up metadata dataframe
if os.path.isfile("%s/temp.zip" % config.wqp_tmp):
os.remove("%s/temp.zip" % config.wqp_tmp)
if os.path.isfile("%s/Result.csv" % config.wqp_tmp):
os.remove("%s/Result.csv" % config.wqp_tmp)
url_results = config.wqp_result_ok_all
location = gis_tools.save_download(url_results, "%s/temp.zip" % config.wqp_tmp, compress='zip')
df = pd.read_csv("%s/Result.csv" % (location), error_bad_lines=False)
metadata_types = set([])
metadata_analytes = set([])
for rec in reader:
rec['watersheds'] = []
rec['aquifers'] = []
rec["MonitoringLocationDescriptionText"] = filter(lambda x: x in string.printable,
rec["MonitoringLocationDescriptionText"])
rec["MonitoringLocationDescriptionText"] = rec["MonitoringLocationDescriptionText"].replace("\\u00bf", "")
rec["MonitoringLocationDescriptionText"] = rec["MonitoringLocationDescriptionText"].replace("\u00bf", "")
rec["MonitoringLocationDescriptionText"] = rec["MonitoringLocationDescriptionText"].replace("\\u00bf***", "")
rec["MonitoringLocationDescriptionText"] = rec["MonitoringLocationDescriptionText"].replace("\u00bf***", "")
rec["MonitoringLocationDescriptionText"] = rec["MonitoringLocationDescriptionText"].replace("\u00bf", "")
metadata_types.add(rec['MonitoringLocationTypeName'].strip(' \t\n\r'))
try:
dfloc = df[df.MonitoringLocationIdentifier == rec['MonitoringLocationIdentifier']]
#if len(df.index) != 0:
# rec['last_activity'] = df['ActivityStartDate'].max()
#url = config.wqp_result % (rec['MonitoringLocationIdentifier'])
#page = urllib2.urlopen(url)
#df = pd.read_csv(page)
if len(dfloc.index) != 0:
rec['last_activity'] = dfloc['ActivityStartDate'].max()
data = []
grouped = dfloc.groupby('CharacteristicName')
for idxs, row in grouped.agg([np.min, np.max]).iterrows():
metadata_analytes.add(idxs)
try:
pcode = "%05d" % row['USGSPCode']['amin']
except:
pcode = ''
data.append({'name': idxs, 'begin_date': row['ActivityStartDate']['amin'],
'end_date': row['ActivityStartDate']['amax'],
'parm_cd': pcode,
'units': row['ResultMeasure/MeasureUnitCode']['amin']})
rec['parameter'] = data
else:
#if no data skip site
continue
except:
#if no data skip, may need to look at this is future
continue
try:
x, y = gis_tools.transform_point(rec['LatitudeMeasure'], rec['LongitudeMeasure'])
hits = list(idx.intersection((x, y, x, y)))
aPoint = Point(x, y)
rec = set_geo(rec, aPoint, hits, geo_data)
except:
#Legacy code inserted without lat lon and covered errors in code
#decided to just pass and eliminate error catching. May change back in the future
continue
#insert when geo and parameters set
db[database][collection_backup].insert(rec)
rec = db[database]['catalog'].find_one({'metadata_source': 'wqp'})
if rec:
rec['types'] = metadata_types
rec['analytes'] = metadata_analytes
else:
rec = {'metadata_source': 'wqp', 'types': list(metadata_types), 'parameters': list(metadata_analytes)}
db[database]['catalog'].save(rec)
return json.dumps({'source': 'usgs_wq', 'url': url_site, 'database': database, 'collection': collection_backup},
indent=2)
def sites_usgs_update(database=site_database, collection=config.usgs_site_collection,
ws_url=config.usgs_site_url): #,delete=True):
'''**************************
Task to update USGS
Sites
'''
db = Connection(mongoHost)
#backup collection
now = datetime.now()
collection_backup = "%s_%s" % (collection, now.strftime("%Y_%m_%d_%H%M%S") )
#try:
# db[database][collection].rename(collection_backup)
#except:
# raise #pass
url = ws_url
f1_i = urllib2.urlopen(url + 'inactive')
f2_a = urllib2.urlopen(url + 'active')
f1_in = StringIO.StringIO(f1_i.read())
f2_act = StringIO.StringIO(f2_a.read())
temp = '#'
head = ''
while (temp[0] == "#"):
temp = f2_act.readline()
f1_in.readline()
if temp[0] != '#':
head = temp.strip('\r\n').split('\t')
head.append('status')
f2_act.readline()
f1_in.readline()
#get rtree spatial index and data object
idx, data = gis_tools.ok_watershed_aquifer_rtree()
#USGS Active sites
for row in f2_act:
temp = row.strip('\r\n').split('\t')
temp.append('Active')
rec = dict(zip(head, temp))
rec['watersheds'] = []
rec['aquifers'] = []
try:
row_data = rec
#set webservices
try:
row_data['webservice'], row_data['parameter'], row_data['last_activity'] = get_webservice(
row_data['site_no'], db)
except:
row_data['webservice'] = []
row_data['parameter'] = []
row_data['last_date'] = ''
#Check if data is available
if len(row_data['parameter']) == 0:
continue
#set watershed and aquifer
try:
x, y = gis_tools.transform_point(rec['dec_lat_va'], rec['dec_long_va'])
hits = list(idx.intersection((x, y, x, y))) #, objects=True)) #[0] #[0].object
aPoint = Point(x, y)
row_data = set_geo(rec, aPoint, hits, data)
except:
pass
#Save site data
db[database][collection_backup].insert(row_data)
except:
#Legacy code inserted without lat lon and covered errors in code
#decided to just pass and eliminate error catching. May change back in the future
pass
#db[database][collection_backup].insert(rec)
for row in f1_in:
temp = row.strip('\r\n').split('\t')
temp.append('Inactive')
rec = dict(zip(head, temp))
rec['watersheds'] = []
rec['aquifers'] = []
try:
row_data = rec
#set webservices
try:
row_data['webservice'], row_data['parameter'], row_data['last_activity'] = get_webservice(
row_data['site_no'], db)
except:
row_data['webservice'] = []
row_data['parameter'] = []
row_data['last_date'] = ''
#Check if data is available
if len(row_data['parameter']) == 0:
continue
x, y = gis_tools.transform_point(rec['dec_lat_va'], rec['dec_long_va'])
hits = list(idx.intersection((x, y, x, y))) #, objects=True)) #[0] #[0].object
aPoint = Point(x, y)
row_data = set_geo(rec, aPoint, hits, data)
#save site data
db[database][collection_backup].insert(row_data)
except:
#Legacy code inserted without lat lon and covered errors in code
#decided to just pass and eliminate error catching. May change back in the future
pass
#db[database][collection_backup].insert(rec)
return {'source': 'usgs', 'url': [url + 'inactive', url + 'active'], 'database': database,
'collection': collection_backup, 'record_count': db[database][collection_backup].count()}
def sites_usgs_wq(database=site_database,
collection='usgs_wq_site',
delete=True):
'''
Task to update USEPA and USGS
Water Quality sites
'''
db = Connection(mongoHost)
#backup collection
now = datetime.now()
collection_backup = "%s_%s" % (collection, now.strftime("%Y_%m_%d_%H%M%S"))
#get rtree spatial index and data object
idx, geo_data = gis_tools.ok_watershed_aquifer_rtree()
#if delete:
# db[database][collection].remove()
url_site = config.wqp_site
sites = urllib2.urlopen(url_site)
output = StringIO.StringIO(sites.read())
head = output.readline()
head = head.replace('/', '-').strip('\r\n').split(',')
reader = csv.DictReader(output, head)
# set up metadata dataframe
if os.path.isfile("%s/temp.zip" % config.wqp_tmp):
os.remove("%s/temp.zip" % config.wqp_tmp)
if os.path.isfile("%s/Result.csv" % config.wqp_tmp):
os.remove("%s/Result.csv" % config.wqp_tmp)
url_results = config.wqp_result_ok_all
location = gis_tools.save_download(url_results,
"%s/temp.zip" % config.wqp_tmp,
compress='zip')
df = pd.read_csv("%s/Result.csv" % (location), error_bad_lines=False)
metadata_types = set([])
metadata_analytes = set([])
for rec in reader:
rec['watersheds'] = []
rec['aquifers'] = []
rec["MonitoringLocationDescriptionText"] = filter(
lambda x: x in string.printable,
rec["MonitoringLocationDescriptionText"])
rec["MonitoringLocationDescriptionText"] = rec[
"MonitoringLocationDescriptionText"].replace("\\u00bf", "")
rec["MonitoringLocationDescriptionText"] = rec[
"MonitoringLocationDescriptionText"].replace("\u00bf", "")
rec["MonitoringLocationDescriptionText"] = rec[
"MonitoringLocationDescriptionText"].replace("\\u00bf***", "")
rec["MonitoringLocationDescriptionText"] = rec[
"MonitoringLocationDescriptionText"].replace("\u00bf***", "")
rec["MonitoringLocationDescriptionText"] = rec[
"MonitoringLocationDescriptionText"].replace("\u00bf", "")
metadata_types.add(rec['MonitoringLocationTypeName'].strip(' \t\n\r'))
try:
dfloc = df[df.MonitoringLocationIdentifier ==
rec['MonitoringLocationIdentifier']]
#if len(df.index) != 0:
# rec['last_activity'] = df['ActivityStartDate'].max()
#url = config.wqp_result % (rec['MonitoringLocationIdentifier'])
#page = urllib2.urlopen(url)
#df = pd.read_csv(page)
if len(dfloc.index) != 0:
rec['last_activity'] = dfloc['ActivityStartDate'].max()
data = []
grouped = dfloc.groupby('CharacteristicName')
for idxs, row in grouped.agg([np.min, np.max]).iterrows():
metadata_analytes.add(idxs)
try:
pcode = "%05d" % row['USGSPCode']['amin']
except:
pcode = ''
data.append({
'name':
idxs,
'begin_date':
row['ActivityStartDate']['amin'],
'end_date':
row['ActivityStartDate']['amax'],
'parm_cd':
pcode,
'units':
row['ResultMeasure/MeasureUnitCode']['amin']
})
rec['parameter'] = data
else:
#if no data skip site
continue
except:
#if no data skip, may need to look at this is future
continue
try:
x, y = gis_tools.transform_point(rec['LatitudeMeasure'],
rec['LongitudeMeasure'])
hits = list(idx.intersection((x, y, x, y)))
aPoint = Point(x, y)
rec = set_geo(rec, aPoint, hits, geo_data)
except:
#Legacy code inserted without lat lon and covered errors in code
#decided to just pass and eliminate error catching. May change back in the future
continue
#insert when geo and parameters set
db[database][collection_backup].insert(rec)
rec = db[database]['catalog'].find_one({'metadata_source': 'wqp'})
if rec:
rec['types'] = metadata_types
rec['analytes'] = metadata_analytes
else:
rec = {
'metadata_source': 'wqp',
'types': list(metadata_types),
'parameters': list(metadata_analytes)
}
db[database]['catalog'].save(rec)
return json.dumps(
{
'source': 'usgs_wq',
'url': url_site,
'database': database,
'collection': collection_backup
},
indent=2)
def sites_usgs_update(database=site_database,
collection=config.usgs_site_collection,
ws_url=config.usgs_site_url): #,delete=True):
'''**************************
Task to update USGS
Sites
'''
db = Connection(mongoHost)
#backup collection
now = datetime.now()
collection_backup = "%s_%s" % (collection, now.strftime("%Y_%m_%d_%H%M%S"))
#try:
# db[database][collection].rename(collection_backup)
#except:
# raise #pass
url = ws_url
f1_i = urllib2.urlopen(url + 'inactive')
f2_a = urllib2.urlopen(url + 'active')
f1_in = StringIO.StringIO(f1_i.read())
f2_act = StringIO.StringIO(f2_a.read())
temp = '#'
head = ''
while (temp[0] == "#"):
temp = f2_act.readline()
f1_in.readline()
if temp[0] != '#':
head = temp.strip('\r\n').split('\t')
head.append('status')
f2_act.readline()
f1_in.readline()
#get rtree spatial index and data object
idx, data = gis_tools.ok_watershed_aquifer_rtree()
#USGS Active sites
for row in f2_act:
temp = row.strip('\r\n').split('\t')
temp.append('Active')
rec = dict(zip(head, temp))
rec['watersheds'] = []
rec['aquifers'] = []
try:
row_data = rec
#set webservices
try:
row_data['webservice'], row_data['parameter'], row_data[
'last_activity'] = get_webservice(row_data['site_no'], db)
except:
row_data['webservice'] = []
row_data['parameter'] = []
row_data['last_date'] = ''
#Check if data is available
if len(row_data['parameter']) == 0:
continue
#set watershed and aquifer
try:
x, y = gis_tools.transform_point(rec['dec_lat_va'],
rec['dec_long_va'])
hits = list(idx.intersection(
(x, y, x, y))) #, objects=True)) #[0] #[0].object
aPoint = Point(x, y)
row_data = set_geo(rec, aPoint, hits, data)
except:
pass
#Save site data
db[database][collection_backup].insert(row_data)
except:
#Legacy code inserted without lat lon and covered errors in code
#decided to just pass and eliminate error catching. May change back in the future
pass
#db[database][collection_backup].insert(rec)
for row in f1_in:
temp = row.strip('\r\n').split('\t')
temp.append('Inactive')
rec = dict(zip(head, temp))
rec['watersheds'] = []
rec['aquifers'] = []
try:
row_data = rec
#set webservices
try:
row_data['webservice'], row_data['parameter'], row_data[
'last_activity'] = get_webservice(row_data['site_no'], db)
except:
row_data['webservice'] = []
row_data['parameter'] = []
row_data['last_date'] = ''
#Check if data is available
if len(row_data['parameter']) == 0:
continue
x, y = gis_tools.transform_point(rec['dec_lat_va'],
rec['dec_long_va'])
hits = list(idx.intersection(
(x, y, x, y))) #, objects=True)) #[0] #[0].object
aPoint = Point(x, y)
row_data = set_geo(rec, aPoint, hits, data)
#save site data
db[database][collection_backup].insert(row_data)
except:
#Legacy code inserted without lat lon and covered errors in code
#decided to just pass and eliminate error catching. May change back in the future
pass
#db[database][collection_backup].insert(rec)
return {
'source': 'usgs',
'url': [url + 'inactive', url + 'active'],
'database': database,
'collection': collection_backup,
'record_count': db[database][collection_backup].count()
}
