def write(mydb, out, rs, station, base):
TODAY = mx.DateTime.now()
out.write("""# LENGTH OF SEASON FOR STATION NUMBER %s BASE TEMP=%s
# LAST SPRING OCCURENCE FIRST FALL OCCURENCE
YEAR MONTH DAY DOY MONTH DAY DOY LENGTH OF SEASON
""" % (station, base) )
s = mx.DateTime.DateTime(constants.startyear(station), 1, 1)
e = constants._ENDTS
interval = mx.DateTime.RelativeDateTime(years=+1)
now = s
d = {}
while now <= e:
ep = now + mx.DateTime.RelativeDateTime(month=12, day=31)
sp = now + mx.DateTime.RelativeDateTime(month=1, day=1)
d[int(now.year)] = {'sts': sp, 'ets': ep}
now += interval
for i in range(len(rs)):
low = int(rs[i]["low"])
if low > base:
continue
ts = mx.DateTime.strptime(rs[i]["day"], "%Y-%m-%d")
mp = ts + mx.DateTime.RelativeDateTime(month=7, day=1)
if (ts > mp): # Fall
if (ts < d[ int(ts.year) ]['ets'] ):
d[int(ts.year)]['ets'] = ts
else:
if (ts > d[ int(ts.year) ]['sts'] ):
d[int(ts.year)]['sts'] = ts
sjdaytot = 0
ejdaytot = 0
yrs = 0
for yr in range(constants.startyear(station), constants._ENDYEAR):
if (yr == constants._THISYEAR):
continue
if d[yr]['ets'] > TODAY:
continue
yrs += 1
sjdaytot += int(d[yr]['sts'].strftime("%j"))
ejdaytot += int(d[yr]['ets'].strftime("%j"))
out.write("%7i%4i%6i%4i %4i%6i%4i %3s\n" % (
yr, d[yr]['sts'].month, d[yr]['sts'].day,
int(d[yr]['sts'].strftime("%j")),
d[yr]['ets'].month, d[yr]['ets'].day,
int(d[yr]['ets'].strftime("%j") ),
(d[yr]['ets'] - d[yr]['sts']).strftime("%d") ) )
smean = sjdaytot / yrs
emean = ejdaytot / yrs
sts = mx.DateTime.DateTime(2001,1,1) + mx.DateTime.RelativeDateTime(days=smean)
ets = mx.DateTime.DateTime(2001,1,1) + mx.DateTime.RelativeDateTime(days=emean)
out.write("%7s%4i%6i%4i %4i%6i%4i %3s\n" % (
"MEAN", sts.month, sts.day, smean, ets.month, ets.day,
emean, emean - smean) )
def write(monthly_rows, out, station):
YRCNT = constants.yrcnt(station)
out.write(
"""# THESE ARE THE MONTHLY HEATING DEGREE DAYS (base=65) %s-%s FOR STATION %s
YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
"""
% (constants.startyear(station), constants._ENDYEAR, station)
)
db = {}
db60 = {}
for row in monthly_rows:
mo = mx.DateTime.DateTime(row["year"], row["month"], 1)
db[mo] = row["hdd65"]
db60[mo] = row["hdd60"]
moTot = {}
moTot60 = {}
for mo in range(1, 13):
moTot[mo] = 0
moTot60[mo] = 0
second = """# THESE ARE THE MONTHLY HEATING DEGREE DAYS (base=60) %s-%s FOR STATION %s
YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC\n""" % (
constants.startyear(station),
constants._ENDYEAR,
station,
)
yrCnt = 0
for yr in range(constants.startyear(station), constants._ENDYEAR):
yrCnt += 1
out.write("%4i" % (yr,))
second += "%4i" % (yr,)
for mo in range(1, 13):
ts = mx.DateTime.DateTime(yr, mo, 1)
if ts >= constants._ARCHIVEENDTS:
out.write("%7s" % ("M",))
second += "%7s" % ("M",)
continue
if ts < constants._ARCHIVEENDTS:
moTot[mo] += db[ts]
moTot60[mo] += db60[ts]
out.write("%7.0f" % (db[ts],))
second += "%7.0f" % (db60[ts],)
out.write("\n")
second += "\n"
out.write("MEAN")
second += "MEAN"
for mo in range(1, 13):
out.write("%7.0f" % (float(moTot[mo]) / float(YRCNT[mo])))
second += "%7.0f" % (float(moTot60[mo]) / float(YRCNT[mo]))
out.write("\n")
second += "\n"
out.write(second)
def write(mydb, out, station):
YRCNT = constants.yrcnt(station)
out.write("""# THESE ARE THE MONTHLY COOLING DEGREE DAYS (base=65) %s-%s FOR STATION %s
YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
""" % (constants.startyear(station), constants._ENDYEAR, station) )
rs = mydb.query("""SELECT * from r_monthly WHERE station = '%s'""" % (
station,) ).dictresult()
db = {}
db60 = {}
for i in range(len(rs)):
mo = mx.DateTime.strptime( rs[i]["monthdate"], "%Y-%m-%d")
db[mo] = rs[i]["cdd"]
db60[mo] = rs[i]["cdd60"]
moTot = {}
moTot60 = {}
for mo in range(1,13):
moTot[mo] = 0
moTot60[mo] = 0
second = """# THESE ARE THE MONTHLY COOLING DEGREE DAYS (base=60) %s-%s FOR STATION %s
YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC\n""" % (
constants.startyear(station), constants._ENDYEAR, station)
yrCnt = 0
for yr in range(constants.startyear(station), constants._ENDYEAR):
yrCnt += 1
out.write("%4i" % (yr,) )
second += "%4i" % (yr,)
for mo in range(1, 13):
ts = mx.DateTime.DateTime(yr, mo, 1)
if (ts >= constants._ARCHIVEENDTS):
out.write("%7s" % ("M",) )
second += "%7s" % ("M",)
continue
if (ts < constants._ARCHIVEENDTS):
moTot[mo] += db[ts]
moTot60[mo] += db60[ts]
out.write("%7.0f" % (db[ts],) )
second += "%7.0f" % (db60[ts],)
out.write("\n")
second += "\n"
out.write("MEAN")
second += "MEAN"
for mo in range(1, 13):
out.write("%7.0f" % ( float(moTot[mo]) / float( YRCNT[mo] ) ) )
second += "%7.0f" % ( float(moTot60[mo]) / float( YRCNT[mo] ) )
out.write("\n")
second += "\n"
out.write(second)
def write(cursor, out, station):
out.write("""# Number of days exceeding given temperature thresholds
# -20, -10, 0, 32 are days with low temperature at or below value
# 50, 70, 80, 93, 100 are days with high temperature at or above value
""")
out.write(("%s %4s %4s %4s %4s %4s %4s %4s %4s %4s\n"
"") % ('YEAR', -20, -10, 0, 32, 50, 70, 80, 93, 100))
cursor.execute("""SELECT year,
sum(case when low <= -20 THEN 1 ELSE 0 END) as m20,
sum(case when low <= -10 THEN 1 ELSE 0 END) as m10,
sum(case when low <= 0 THEN 1 ELSE 0 END) as m0,
sum(case when low <= 32 THEN 1 ELSE 0 END) as m32,
sum(case when high >= 50 THEN 1 ELSE 0 END) as e50,
sum(case when high >= 70 THEN 1 ELSE 0 END) as e70,
sum(case when high >= 80 THEN 1 ELSE 0 END) as e80,
sum(case when high >= 93 THEN 1 ELSE 0 END) as e93,
sum(case when high >= 100 THEN 1 ELSE 0 END) as e100
from %s WHERE station = '%s' and day >= '%s-01-01'
GROUP by year ORDER by year ASC
""" % (constants.get_table(station), station,
constants.startyear(station)))
for row in cursor:
out.write(("%(year)4i %(m20)4i %(m10)4i %(m0)4i %(m32)4i %(e50)4i "
"%(e70)4i %(e80)4i %(e93)4i %(e100)4i\n") % row)
def write(mydb, out, station):
r = {}
out.write("""# DAILY RECORD HIGHS AND LOWS OCCURRING DURING %s-%s FOR STATION NUMBER %s
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
DY MX MN MX MN MX MN MX MN MX MN MX MN MX MN MX MN MX MN MX MN MX MN MX MN
""" % (constants.startyear(station), constants._ENDYEAR, station) )
rs = mydb.query("SELECT * from %s WHERE station = '%s'" % (
constants.climatetable(station), station) ).dictresult()
for i in range(len(rs)):
day = mx.DateTime.strptime(rs[i]["valid"], "%Y-%m-%d")
r[day] = rs[i]
for day in range(1,32):
out.write("%3i" % (day,) )
for mo in range(1,13):
try:
ts = mx.DateTime.DateTime(2000, mo, day)
if not r.has_key(ts):
print ("Records missing for table: %s station: %s "
+"date: %s") % (constants.climatetable(station),
station, ts.strftime("%b %d"))
out.write(" *** ***")
continue
except:
out.write(" *** ***")
continue
if (r[ts]['max_high'] is None or
r[ts]['min_low'] is None):
out.write(" *** ***")
continue
out.write("%4i%4i" % (r[ts]["max_high"], r[ts]["min_low"]) )
out.write("\n")
def process(id, csv):
# Fetch Yearly Totals
sql = """SELECT year, round(avg(high)::numeric,1) as avg_high,
round(avg(low)::numeric,1) as avg_low,
round(sum(precip)::numeric,2) as rain from %s
WHERE station = '%s' and year >= %s
GROUP by year ORDER by year ASC""" % (constants.get_table(id),
id, constants.startyear(id) )
rs = constants.mydb.query(sql).dictresult()
data = {}
for i in range(len(rs)):
year = int(rs[i]["year"])
data[year] = {'oHigh': rs[i]["avg_high"], 'oLow': rs[i]["avg_low"],
'oRain': rs[i]["rain"]}
for i in range(1893, constants._ENDYEAR):
if (not data.has_key(i)):
data[i] = {'oHigh': "M", 'oLow': "M", 'oRain': "M"}
csv.write("%s,%s,%s,"%(data[i]['oLow'],data[i]['oHigh'],data[i]['oRain']))
# Need to do climate stuff
# Then climate
sql = """SELECT round(avg(high)::numeric,1) as avg_high,
round(avg(low)::numeric,1) as avg_low,
round(sum(precip)::numeric,2) as rain from %s WHERE station = '%s' """ % (
constants.climatetable(id), id)
rs = constants.mydb.query(sql).dictresult()
aHigh = rs[0]["avg_high"]
aLow = rs[0]["avg_low"]
aRain = rs[0]["rain"]
csv.write("%s,%s,%s," % (aLow,aHigh,aRain) )
csv.write("\n")
csv.flush()
def write(mydb, out, rs, station):
"""standard iterative here...."""
startyear = constants.startyear(station)
years = constants._ENDYEAR - startyear
# 0.01, 0.5, 1, 2, 3, 4
data = np.zeros((13, years+1, 6), 'i')
for i in range(len(rs)):
precip = float(rs[i]["precip"])
if precip <= 0:
continue
offset = int(rs[i]['year']) - startyear
data[0, offset, :] += np.where(precip >= CATS, 1, 0)
data[int(rs[i]['month']), offset, :] += np.where(precip >= CATS, 1, 0)
out.write("""# Number of days per year with precipitation at or above threshold [inch]
# Partitioned by month of the year, 'ANN' represents the entire year
""")
for c in range(len(CATS)):
out.write("""YEAR %4.2f JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC ANN
""" % (CATS[c],))
for yr in range(startyear, constants._ENDYEAR):
out.write("%s %4.2f " % (yr, CATS[c]))
for mo in range(1, 13):
out.write("%3.0f " % (data[mo, yr-startyear, c], ))
out.write("%3.0f\n" % (data[0, yr-startyear, c], ))
def write(mydb, out, station):
out.write("""# NUMBER OF DAYS WITH PRECIPITATION PER MONTH PER YEAR
# Days with a trace accumulation are not included
YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC ANN
""")
rs = mydb.query("SELECT * from r_monthly WHERE station = '%s'" % (
station,) ).dictresult()
db = {}
for i in range(len(rs)):
ts = rs[i]["monthdate"]
db[ts] = int(rs[i]["rain_days"])
moCnt = [0,0,0,0,0,0,0,0,0,0,0,0,0,0]
for yr in range(constants.startyear(station), constants._ENDYEAR):
tot = 0
out.write("%s " % (yr,) )
for mo in range(1, 13):
cnt = db["%s-%02i-01" % (yr, mo)]
ts = mx.DateTime.DateTime(yr,mo,1)
if (ts >= constants._ARCHIVEENDTS):
out.write("%3s " % ("M",) )
continue
out.write("%3i " % (cnt,))
tot += cnt
out.write("%3i\n" % (tot,))
rs = mydb.query("""select extract(month from monthdate) as month,
stddev(rain_days), avg(rain_days) from r_monthly
WHERE station = '%s' GROUP by month ORDER by month ASC""" % (
station,) ).dictresult()
db = {}
for i in range(len(rs)):
db[ int(rs[i]["month"]) ] = rs[i]
rs = mydb.query("""SELECT avg(cnt), stddev(cnt) from (
select extract(year from monthdate) as year,
sum(rain_days) as cnt from r_monthly
WHERE station = '%s' GROUP by year) as foo""" % (station,) ).dictresult()
yrStd = rs[0]['stddev']
yrAvg = rs[0]['avg']
out.write("STDDEV ")
for mo in range(1, 13):
out.write("%3.0f " % (db[mo]['stddev'],))
out.write("%3.0f\n" % (yrStd,) )
out.write("AVG ")
for mo in range(1, 13):
out.write("%3.0f " % (db[mo]['avg'],))
out.write("%3.0f\n" % (yrAvg,))
def write(mydb, out, station):
out.write("""# Top 30 single day rainfalls
MONTH DAY YEAR AMOUNT
""")
rs = mydb.query("""SELECT precip, day from %s WHERE station = '%s'
and day >= '%s-01-01' ORDER by precip DESC LIMIT 30""" % (
constants.get_table(station), station,
constants.startyear(station) ) ).dictresult()
for i in range(len(rs)):
ts = mx.DateTime.strptime(rs[i]["day"], "%Y-%m-%d")
out.write("%4i%7i%6i%9.2f\n" % (ts.month, ts.day, ts.year, rs[i]["precip"]) )
def write(cursor, out, station):
out.write("""# OF DAYS EACH YEAR WHERE MIN >=32 F\n""")
cursor.execute(
"""
SELECT year, count(low) from %s WHERE
station = '%s' and low >= 32 and day >= '%s-01-01'
and year < %s GROUP by year
"""
% (constants.get_table(station), station, constants.startyear(station), constants._THISYEAR)
)
tot = 0
d = {}
for row in cursor:
tot += row["count"]
d[row["year"]] = row["count"]
mean = tot / float(cursor.rowcount)
for year in range(constants.startyear(station), constants._THISYEAR):
out.write("%s %3i\n" % (year, d.get(year, 0)))
out.write("MEAN %3i\n" % (mean,))
def write(mydb, out, station):
out.write("""# OF DAYS EACH YEAR WHERE MIN >=32 F\n""")
rs = mydb.query("""SELECT year, count(low) from %s WHERE
station = '%s' and low >= 32 and day >= '%s-01-01'
and year < %s GROUP by year""" % (constants.get_table(station),
station,
constants.startyear(station),
constants._THISYEAR) ).dictresult()
tot = 0
d = {}
for yr in range(constants.startyear(station), constants._THISYEAR):
d[yr] = 0
for i in range(len(rs)):
tot += int(rs[i]["count"])
d[ int(rs[i]["year"]) ] = int(rs[i]["count"])
mean = tot / len(rs)
for yr in range(constants.startyear(station), constants._THISYEAR):
out.write("%s %3i\n" % (yr, d[yr]))
out.write("MEAN %3i\n" % (mean,) )
def write(cursor, out, station):
# Load up dict of dates..
cnt = {}
for day in range(30, 183):
cnt[day] = {32: 0.0, 28: 0.0, 26: 0.0, 22: 0.0}
cnt_years = {32: 0.0, 28: 0.0, 26: 0.0, 22: 0.0}
for base in (32, 28, 26, 22):
# Query Last doy for each year in archive
sql = """
select year, max(extract(doy from day)) as doy from %s
WHERE month < 7 and low <= %s and low > -40 and station = '%s'
and year >= %s and year < %s and month > 1
GROUP by year ORDER by doy ASC
""" % (constants.get_table(station),
base, station, constants.startyear(station), constants._ENDYEAR)
cursor.execute(sql)
cnt_years[base] = cursor.rowcount
if cursor.rowcount == 0:
return
for row in cursor:
cnt[row['doy']][base] += 1.0
sts = mx.DateTime.DateTime(2000, 1, 1)
running = {32: 0.0, 28: 0.0, 26: 0.0, 22: 0.0}
out.write("""# Low Temperature exceedence probabilities
# (On a certain date, what is the chance a temperature below a certain
# threshold will be observed again that spring)
DOY Date <33 <29 <27 <23
""")
ar = []
for day in range(181, 29, -1):
ts = sts + mx.DateTime.RelativeDateTime(days=day-1)
for base in (32, 28, 26, 22):
running[base] += cnt[day][base]
if day % 2 == 0:
ar.append((" %3s %s %3i %3i %3i %3i"
"") % (ts.strftime("%-j"),
ts.strftime("%b %d"),
running[32] / cnt_years[32] * 100.0,
running[28] / cnt_years[28] * 100.0,
running[26] / cnt_years[26] * 100.0,
running[22] / cnt_years[22] * 100.0))
ar.reverse()
out.write("\n".join(ar))
def main():
"""Go Main"""
for station in nt.sts:
sts = mx.DateTime.DateTime(constants.startyear(station), 1, 1)
ets = constants._ENDTS
# Check for obs total
now = sts
interval = mx.DateTime.RelativeDateTime(years=1)
while now < (ets - interval):
days = int(((now + interval) - now).days)
ccursor.execute("""SELECT count(*) from alldata_%s WHERE
year = %s and station = '%s'""" % (state, now.year, station))
row = ccursor.fetchone()
if row[0] != days:
print('Mismatch station: %s year: %s count: %s days: %s'
'') % (station, now.year, row[0], days)
fix_year(station, now.year)
now += interval
# Check records database...
sts = mx.DateTime.DateTime(2000, 1, 1)
ets = mx.DateTime.DateTime(2001, 1, 1)
interval = mx.DateTime.RelativeDateTime(days=1)
for table in ['climate', 'climate51', 'climate71', 'climate81']:
ccursor.execute("""SELECT count(*) from %s WHERE
station = '%s'""" % (table, station))
row = ccursor.fetchone()
if row[0] == 366:
continue
now = sts
while now < ets:
ccursor.execute("""SELECT * from %s WHERE station = '%s'
and valid = '%s'
""" % (table, station, now.strftime("%Y-%m-%d")))
if ccursor.rowcount == 0:
print(("Add %s station: %s day: %s") %
(table, station, now.strftime("%Y-%m-%d")))
ccursor.execute("""
INSERT into %s (station, valid) values ('%s', '%s')
""" % (table, station, now.strftime("%Y-%m-%d")))
now += interval
ccursor.close()
COOP.commit()
def process(sid, csv):
# Fetch Yearly Totals
cursor.execute("""
SELECT year, round(avg(high)::numeric,1) as avg_high,
round(avg(low)::numeric,1) as avg_low,
round(sum(precip)::numeric,2) as rain from %s
WHERE station = '%s' and year >= %s GROUP by year ORDER by year ASC
""" % (constants.get_table(sid), sid, constants.startyear(sid)))
data = {}
for row in cursor:
year = row["year"]
data[year] = {
'oHigh': row["avg_high"],
'oLow': row["avg_low"],
'oRain': row["rain"]
}
for i in range(1893, constants._ENDYEAR):
if i not in data:
data[i] = {'oHigh': "M", 'oLow': "M", 'oRain': "M"}
csv.write("%s,%s,%s," %
(data[i]['oLow'], data[i]['oHigh'], data[i]['oRain']))
# Need to do climate stuff
# Then climate
cursor.execute("""
SELECT round(avg(high)::numeric,1) as avg_high,
round(avg(low)::numeric,1) as avg_low,
round(sum(precip)::numeric,2) as rain from %s WHERE station = '%s'
""" % (constants.climatetable(sid), sid))
row = cursor.fetchone()
aHigh = row["avg_high"]
aLow = row["avg_low"]
aRain = row["rain"]
csv.write("%s,%s,%s," % (aLow, aHigh, aRain))
csv.write("\n")
csv.flush()
def write(monthly_rows, out, station):
out.write("""# NUMBER OF SNOWY DAYS PER MONTH PER YEAR
# Days with a trace of snowfall reported are not included
YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC ANN
""")
db = {}
monthly = [0]*13
for i in range(13):
monthly[i] = []
for row in monthly_rows:
ts = datetime.datetime(row['year'], row['month'], 1)
db[ts] = row["snow_days"]
monthly[ts.month].append(row['snow_days'])
for yr in range(constants.startyear(station), constants._ENDYEAR):
tot = 0
out.write("%s " % (yr,))
for mo in range(1, 13):
ts = datetime.datetime(yr, mo, 1)
cnt = db.get(ts, None)
if ts >= constants._ARCHIVEENDTS or cnt is None:
out.write("%3s " % ("M",))
continue
out.write("%3i " % (cnt,))
tot += cnt
out.write("%3i\n" % (tot,))
out.write("STDDEV ")
for mo in range(1, 13):
out.write("%3.0f " % (np.std(monthly[mo]),))
out.write("%3.0f\n" % (0,))
out.write("AVG ")
for mo in range(1, 13):
out.write("%3.0f " % (np.average(monthly[mo]),))
out.write("%3.0f\n" % (0,))
def write(monthly_rows, out, station):
out.write("""# NUMBER OF DAYS WITH PRECIPITATION PER MONTH PER YEAR
# Days with a trace accumulation are not included
YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC ANN
""")
db = {}
monthly = [0]*13
for i in range(13):
monthly[i] = []
for row in monthly_rows:
ts = mx.DateTime.DateTime(row['year'], row['month'], 1)
db[ts] = row["rain_days"]
monthly[ts.month].append( row['rain_days'] )
for yr in range(constants.startyear(station), constants._ENDYEAR):
tot = 0
out.write("%s " % (yr,) )
for mo in range(1, 13):
cnt = db.get("%s-%02i-01" % (yr, mo), None)
ts = mx.DateTime.DateTime(yr,mo,1)
if ts >= constants._ARCHIVEENDTS or cnt is None:
out.write("%3s " % ("M",) )
continue
out.write("%3i " % (cnt,))
tot += cnt
out.write("%3i\n" % (tot,))
out.write("STDDEV ")
for mo in range(1, 13):
out.write("%3.0f " % (np.std(monthly[mo]),))
out.write("%3.0f\n" % (0,) )
out.write("AVG ")
for mo in range(1, 13):
out.write("%3.0f " % (np.average(monthly[mo]),))
out.write("%3.0f\n" % (0,))
def process(sid, csv):
# Fetch Yearly Totals
cursor.execute("""
SELECT year, round(avg(high)::numeric,1) as avg_high,
round(avg(low)::numeric,1) as avg_low,
round(sum(precip)::numeric,2) as rain from %s
WHERE station = '%s' and year >= %s GROUP by year ORDER by year ASC
""" % (constants.get_table(sid), sid, constants.startyear(sid)))
data = {}
for row in cursor:
year = row["year"]
data[year] = {'oHigh': row["avg_high"], 'oLow': row["avg_low"],
'oRain': row["rain"]}
for i in range(1893, constants._ENDYEAR):
if i not in data:
data[i] = {'oHigh': "M", 'oLow': "M", 'oRain': "M"}
csv.write("%s,%s,%s," % (data[i]['oLow'], data[i]['oHigh'],
data[i]['oRain']))
# Need to do climate stuff
# Then climate
cursor.execute("""
SELECT round(avg(high)::numeric,1) as avg_high,
round(avg(low)::numeric,1) as avg_low,
round(sum(precip)::numeric,2) as rain from %s WHERE station = '%s'
""" % (constants.climatetable(sid), sid))
row = cursor.fetchone()
aHigh = row["avg_high"]
aLow = row["avg_low"]
aRain = row["rain"]
csv.write("%s,%s,%s," % (aLow, aHigh, aRain))
csv.write("\n")
csv.flush()
# This will drive the modules
import pg, string, constants
import network
nt = network.Table("IACLIMATE")
mydb = pg.connect("coop", 'iemdb',user='******')
import genPrecipEvents, genGDD, genDailyRecords
import genDailyRecordsRain, genDailyRange, genDailyMeans, genCountLows32
import genSpringFall, genMonthly, genHDD, genCDD, genHeatStress
import genCountRain, genFrostProbabilities, genSpringProbabilities, genCycles
import genTempThresholds, genRecordPeriods, gen_precip_cats
updateAll = True
#for id in st.ids:
for id in ['IA0200',]:
print "processing [%s] %s" % (id, nt.sts[id]["name"])
dbid = string.upper(id)
rs = mydb.query("""SELECT * from %s WHERE station = '%s' and
day >= '%s-01-01' ORDER by day ASC""" % (
constants.get_table(dbid), dbid, constants.startyear(dbid) ) ).dictresult()
#genSpringFall.write(mydb, rs, dbid, 32, "09")
genHDD.go(mydb, rs, dbid, updateAll)
genHDD.write(mydb, dbid)
def write(monthly_rows, out, out2, out3, out4, station):
s = constants.startts(station)
e = constants._ENDTS
YRCNT = constants.yrcnt(station)
YEARS = e.year - s.year + 1
interval = mx.DateTime.RelativeDateTime(months=+1)
now = s
db = {}
while now < e:
db[now] = {"avg_high": "M", "avg_low": "M", "rain": "M"}
now += interval
for row in monthly_rows:
ts = mx.DateTime.DateTime(row["year"], row["month"], 1)
db[ts] = {"avg_high": row["avg_high"], "avg_low": row["avg_low"], "rain": row["sum_precip"]}
out.write(
"""# Monthly Average High Temperatures [F]
YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC ANN
"""
)
moTot = {}
for mo in range(1, 13):
moTot[mo] = 0
yrCnt = 0
yrAvg = 0
for yr in range(constants.startyear(station), constants._ENDYEAR):
yrCnt += 1
out.write("%4i" % (yr,))
yrSum = 0
for mo in range(1, 13):
ts = mx.DateTime.DateTime(yr, mo, 1)
if ts < constants._ARCHIVEENDTS:
moTot[mo] += int(db[ts]["avg_high"])
yrSum += int(db[ts]["avg_high"])
out.write(safePrint(db[ts]["avg_high"], 6, 0))
if yr != constants._ARCHIVEENDTS.year:
yrAvg += float(yrSum) / 12.0
out.write("%6.0f\n" % (float(yrSum) / 12.0,))
else:
out.write(" \n")
out.write("MEAN")
for mo in range(1, 13):
moAvg = moTot[mo] / float(YRCNT[mo])
out.write("%6.0f" % (moAvg,))
out.write("%6.0f\n" % (yrAvg / (float(YEARS)),))
out2.write(
"""# Monthly Average Low Temperatures [F]
YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC ANN
"""
)
moTot = {}
for mo in range(1, 13):
moTot[mo] = 0
yrCnt = 0
yrAvg = 0
for yr in range(constants.startyear(station), constants._ENDYEAR):
yrCnt += 1
out2.write("%4i" % (yr,))
yrSum = 0
for mo in range(1, 13):
ts = mx.DateTime.DateTime(yr, mo, 1)
if ts < constants._ARCHIVEENDTS:
moTot[mo] += int(db[ts]["avg_low"])
yrSum += int(db[ts]["avg_low"])
out2.write(safePrint(db[ts]["avg_low"], 6, 0))
if yr != constants._ARCHIVEENDTS.year:
yrAvg += float(yrSum) / 12.0
out2.write("%6.0f\n" % (float(yrSum) / 12.0,))
else:
out2.write(" M\n")
out2.write("MEAN")
for mo in range(1, 13):
moAvg = moTot[mo] / float(YRCNT[mo])
out2.write("%6.0f" % (moAvg,))
out2.write("%6.0f\n" % (yrAvg / float(YEARS),))
out3.write(
"""# Monthly Average Temperatures [F] (High + low)/2
YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC ANN
"""
)
moTot = {}
for mo in range(1, 13):
moTot[mo] = 0
yrCnt = 0
yrAvg = 0
for yr in range(constants.startyear(station), constants._ENDYEAR):
yrCnt += 1
out3.write("%4i" % (yr,))
yrSum = 0
for mo in range(1, 13):
ts = mx.DateTime.DateTime(yr, mo, 1)
if ts >= constants._ARCHIVEENDTS:
out3.write("%6s" % ("M",))
continue
v = (float(db[ts]["avg_high"]) + float(db[ts]["avg_low"])) / 2.0
if ts < constants._ARCHIVEENDTS:
moTot[mo] += v
yrSum += v
out3.write("%6.0f" % (v,))
if yr != constants._ARCHIVEENDTS.year:
yrAvg += float(yrSum) / 12.0
out3.write("%6.0f\n" % (float(yrSum) / 12.0,))
else:
out3.write(" M\n")
out3.write("MEAN")
for mo in range(1, 13):
moAvg = moTot[mo] / float(YRCNT[mo])
out3.write("%6.0f" % (moAvg,))
out3.write("%6.0f\n" % (yrAvg / float(yrCnt),))
out4.write(
"""# Monthly Liquid Precip Totals [inches] (snow is melted)
YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC ANN\n"""
)
moTot = {}
for mo in range(1, 13):
moTot[mo] = 0
yrCnt = 0
yrAvg = 0
for yr in range(constants.startyear(station), constants._ENDYEAR):
yrCnt += 1
out4.write("%4i" % (yr,))
yrSum = 0
for mo in range(1, 13):
ts = mx.DateTime.DateTime(yr, mo, 1)
if ts < constants._ARCHIVEENDTS:
moTot[mo] += db[ts]["rain"]
yrSum += db[ts]["rain"]
out4.write(safePrint(db[ts]["rain"], 6, 2))
yrAvg += float(yrSum)
out4.write("%6.2f\n" % (float(yrSum),))
out4.write("MEAN")
for mo in range(1, 13):
moAvg = moTot[mo] / float(YRCNT[mo])
out4.write("%6.2f" % (moAvg,))
out4.write("%6.2f\n" % (yrAvg / float(YEARS - 1),))
def write(cursor, out, station):
out.write(("# THESE ARE THE HEAT STRESS VARIABLES FOR STATION # %s\n"
) % (station,))
s = constants.startts(station)
e = constants._ENDTS
interval = mx.DateTime.RelativeDateTime(months=+1)
monthlyCount = {}
monthlyIndex = {}
now = s
while now < e:
monthlyCount[now] = 0
monthlyIndex[now] = 0
now += interval
cursor.execute("""
SELECT year, month, high from %s WHERE
station = '%s' and high > 86 and day >= '%s-01-01
'""" % (constants.get_table(station), station,
constants.startyear(station)))
for row in cursor:
ts = mx.DateTime.DateTime(row["year"], row["month"], 1)
monthlyCount[ts] += 1
monthlyIndex[ts] += int(row["high"]) - 86
monthlyAveCnt = {}
monthlyAveIndex = {}
for mo in range(5, 10):
monthlyAveCnt[mo] = 0
monthlyAveIndex[mo] = 0
out.write(""" # OF DAYS MAXT >86 ACCUMULATED (MAXT - 86 )
YEAR MAY JUNE JULY AUG SEPT TOTAL MAY JUNE JULY AUG SEPT TOTAL\n""")
yrCnt = 0
for yr in range(constants.startyear(station), constants._ENDYEAR):
yrCnt += 1
out.write("%5s" % (yr,))
totCnt = 0
for mo in range(5, 10):
ts = mx.DateTime.DateTime(yr, mo, 1)
if (ts >= constants._ARCHIVEENDTS):
out.write("%6s" % ("M",))
continue
totCnt += monthlyCount[ts]
monthlyAveCnt[mo] += monthlyCount[ts]
out.write("%6i" % (monthlyCount[ts], ))
out.write("%6i " % (totCnt,))
totInd = 0
for mo in range(5, 10):
ts = mx.DateTime.DateTime(yr, mo, 1)
if (ts >= constants._ARCHIVEENDTS):
out.write("%6s" % ("M",))
continue
totInd += monthlyIndex[ts]
monthlyAveIndex[mo] += monthlyIndex[ts]
out.write("%6i" % (monthlyIndex[ts], ))
out.write("%6i\n" % (totInd,))
out.write(" **************************************************************************************\n")
out.write("MEANS")
tot = 0
for mo in range(5, 10):
val = float(monthlyAveCnt[mo]) / float(yrCnt)
tot += val
out.write("%6.1f" % (val, ))
out.write("%6.1f " % (tot,))
tot = 0
for mo in range(5, 10):
val = float(monthlyAveIndex[mo]) / float(yrCnt)
tot += val
out.write("%6.1f" % (val, ))
out.write("%6.1f\n" % (tot, ))
def write(out, rs, station):
s = constants.startts(station)
e = constants._ENDTS
YEARS = e.year - s.year + 1
out.write("""# SEASONAL TEMPERATURE CYCLES PER YEAR
# 1 CYCLE IS A TEMPERATURE VARIATION FROM A VALUE BELOW A THRESHOLD
# TO A VALUE EXCEEDING A THRESHOLD. THINK OF IT AS FREEZE/THAW CYCLES
# FIRST DATA COLUMN WOULD BE FOR CYCLES EXCEEDING 26 AND 38 DEGREES F
THRES 26-38 26-38 24-40 24-40 20-44 20-44 14-50 14-50
YEAR SPRING FALL SPRING FALL SPRING FALL SPRING FALL
""")
data = {}
for yr in range(constants.startyear(station), constants._ENDYEAR):
data[yr] = {'26s': 0, '26f': 0, '24s': 0, '24f': 0,
'20s': 0, '20f': 0, '14s': 0, '14f': 0}
prs = [[26, 38], [24, 40], [20, 44], [14, 50]]
cycPos = {'26s': -1, '24s': -1, '20s': -1, '14s': -1}
for i in range(len(rs)):
ts = mx.DateTime.strptime(rs[i]["day"], "%Y-%m-%d")
high = int(rs[i]['high'])
low = int(rs[i]['low'])
for pr in prs:
l, u = pr
key = '%ss' % (l, )
ckey = '%ss' % (l, )
if ts.month >= 7:
ckey = '%sf' % (l, )
# cycles lower
if cycPos[key] == 1 and low < l:
# print 'Cycled lower', low, ts
cycPos[key] = -1
data[ts.year][ckey] += 0.5
# cycled higher
if cycPos[key] == -1 and high > u:
# print 'Cycled higher', high, ts
cycPos[key] = 1
data[ts.year][ckey] += 0.5
s26 = 0
f26 = 0
s24 = 0
f24 = 0
s20 = 0
f20 = 0
s14 = 0
f14 = 0
for yr in range(constants.startyear(station), constants._ENDYEAR):
s26 += data[yr]['26s']
f26 += data[yr]['26f']
s24 += data[yr]['24s']
f24 += data[yr]['24f']
s20 += data[yr]['20s']
f20 += data[yr]['20f']
s14 += data[yr]['14s']
f14 += data[yr]['14f']
out.write(("%s %-8i%-8i%-8i%-8i%-8i%-8i%-8i%-8i\n"
"") % (yr, data[yr]['26s'],
data[yr]['26f'], data[yr]['24s'], data[yr]['24f'],
data[yr]['20s'], data[yr]['20f'], data[yr]['14s'],
data[yr]['14f']))
out.write(("AVG %-8.1f%-8.1f%-8.1f%-8.1f%-8.1f%-8.1f%-8.1f%-8.1f\n"
"") % (s26/YEARS, f26/YEARS, s24/YEARS, f24/YEARS, s20/YEARS,
f20/YEARS, s14/YEARS, f14/YEARS))
def go(mydb, rs, stationID):
db = {}
for i in range(1,54): # Store climateweek values
db[i] = {}
db[i]["maxval"] = 0
db[i]["maxyr"] = 0
db[i]["total"] = 0
db[i]["events"] = 0
db[i]["cat1"] = 0
db[i]["cat2"] = 0
db[i]["cat3"] = 0
db[i]["cat4"] = 0
db[i]["cat5"] = 0
db[i]["totprec"] = [0]* (constants._ENDYEAR - constants.startyear(stationID))
for i in range(len(rs)):
climoweek = int(rs[i]["climoweek"])
precip = float(rs[i]["precip"])
yr = int(rs[i]['year'])
# First we do the CATS
if (precip >= 0.01 and precip <= 0.25):
db[climoweek]["cat1"] += 1
elif (precip >= 0.26 and precip <= 0.50):
db[climoweek]["cat2"] += 1
elif (precip >= 0.51 and precip <= 1.00):
db[climoweek]["cat3"] += 1
elif (precip >= 1.01 and precip <= 2.00):
db[climoweek]["cat4"] += 1
elif (precip >= 2.01):
db[climoweek]["cat5"] += 1
# Work the Max
if (precip > 0):
db[climoweek]["totprec"][yr - constants.startyear(stationID)] += precip
# Add in for the total
db[climoweek]["total"] += precip
annEvents = 0
maxVal = 0
totRain = 0
cat1 = 0
cat2 = 0
cat3 = 0
cat4 = 0
cat5 = 0
for i in range(1,54):
totEvents = db[i]["cat1"] + db[i]["cat2"] + db[i]["cat3"] + \
db[i]["cat4"] + db[i]["cat5"]
meanRain = db[i]["total"] / totEvents
annEvents += totEvents
maxVal = max( db[i]['totprec'] )
maxyr = db[i]['totprec'].index(maxVal) + constants.startyear(stationID)
cat1 += db[i]["cat1"]
cat2 += db[i]["cat2"]
cat3 += db[i]["cat3"]
cat4 += db[i]["cat4"]
cat5 += db[i]["cat5"]
totRain += db[i]["total"]
mydb.query("""DELETE from r_precipevents WHERE station = '%s' and
climoweek = %s""" % (stationID, i) )
mydb.query("""INSERT into r_precipevents(station, climoweek, maxval, maxyr,
meanval, cat1e, cat2e, cat3e, cat4e, cat5e) values ('%s', %s, %s, %s,
%4.2f, %s, %s, %s, %s, %s)""" % (stationID, i, maxVal, maxyr, meanRain,
db[i]["cat1"], db[i]["cat2"], db[i]["cat3"], db[i]["cat4"], db[i]["cat5"]))
def write(mydb, out, rs, station):
out.write("""# First occurance of record consecutive number of days
# above or below a temperature threshold
""")
out.write("# %-27s %-27s %-27s %-27s\n" % (" Low Cooler Than",
" Low Warmer Than", " High Cooler Than", " High Warmer Than") )
out.write("%3s %5s %10s %10s %5s %10s %10s %5s %10s %10s %5s %10s %10s\n" % (
'TMP', 'DAYS', 'BEGIN DATE', 'END DATE',
'DAYS', 'BEGIN DATE', 'END DATE',
'DAYS', 'BEGIN DATE', 'END DATE',
'DAYS', 'BEGIN DATE', 'END DATE') )
highs = np.zeros( (len(rs),), 'f')
lows = np.zeros( (len(rs),), 'f')
for i in range(len(rs)):
highs[i] = rs[i]['high']
lows[i] = rs[i]['low']
for thres in range(-20,101,2):
condition = lows < thres
max_bl = 0
max_bl_ts = mx.DateTime.now()
for start, stop in contiguous_regions(condition):
if (stop - start) > max_bl:
max_bl = int(stop - start)
max_bl_ts = mx.DateTime.DateTime(constants.startyear(station),
1, 1) + mx.DateTime.RelativeDateTime(
days=int(stop))
condition = lows >= thres
max_al = 0
max_al_ts = mx.DateTime.now()
for start, stop in contiguous_regions(condition):
if (stop - start) > max_al:
max_al = int(stop - start)
max_al_ts = mx.DateTime.DateTime(constants.startyear(station),
1, 1) + mx.DateTime.RelativeDateTime(
days=int(stop))
condition = highs < thres
max_bh = 0
max_bh_ts = mx.DateTime.now()
for start, stop in contiguous_regions(condition):
if (stop - start) > max_bh:
max_bh = int(stop - start)
max_bh_ts = mx.DateTime.DateTime(constants.startyear(station),
1, 1) + mx.DateTime.RelativeDateTime(
days=int(stop))
condition = highs >= thres
max_ah = 0
max_ah_ts = mx.DateTime.now()
for start, stop in contiguous_regions(condition):
if (stop - start) > max_ah:
max_ah = int(stop - start)
max_ah_ts = mx.DateTime.DateTime(constants.startyear(station),
1, 1) + mx.DateTime.RelativeDateTime(
days=int(stop))
out.write(("%3i %5s %10s %10s %5s %10s %10s "
+"%5s %10s %10s %5s %10s %10s\n") % (
thres,
wrap(max_bl),
wrap(max_bl, (max_bl_ts -
mx.DateTime.RelativeDateTime(days=max_bl)).strftime("%m/%d/%Y")),
wrap(max_bl, max_bl_ts.strftime("%m/%d/%Y") ),
wrap(max_al),
wrap(max_al, (max_al_ts -
mx.DateTime.RelativeDateTime(days=max_al)).strftime("%m/%d/%Y")),
wrap(max_al, max_al_ts.strftime("%m/%d/%Y") ),
wrap(max_bh),
wrap(max_bh, (max_bh_ts -
mx.DateTime.RelativeDateTime(days=max_bh)).strftime("%m/%d/%Y")),
wrap(max_bh, max_bh_ts.strftime("%m/%d/%Y") ),
wrap(max_ah),
wrap(max_ah, (max_ah_ts -
mx.DateTime.RelativeDateTime(days=max_ah)).strftime("%m/%d/%Y")),
wrap(max_ah, max_ah_ts.strftime("%m/%d/%Y") )
) )
def run_station(dbid):
"""Actually run for the given station"""
table = constants.get_table(dbid)
# print "processing [%s] %s" % (dbid, constants.nt.sts[dbid]["name"])
sql = """
SELECT d.*, c.climoweek from %s d, climoweek c
WHERE station = '%s' and day >= '%s-01-01' and d.sday = c.sday
and precip is not null
ORDER by day ASC
""" % (table, dbid, constants.startyear(dbid))
rs = caller(mydb.query, sql).dictresult()
# Compute monthly
cursor.execute("""
SELECT year, month, sum(precip) as sum_precip,
avg(high) as avg_high,
avg(low) as avg_low,
sum(cdd(high,low,60)) as cdd60,
sum(cdd(high,low,65)) as cdd65,
sum(hdd(high,low,60)) as hdd60,
sum(hdd(high,low,65)) as hdd65,
sum(case when precip >= 0.01 then 1 else 0 end) as rain_days,
sum(case when snow >= 0.1 then 1 else 0 end) as snow_days,
sum(gddxx(40,86,high,low)) as gdd40,
sum(gddxx(48,86,high,low)) as gdd48,
sum(gddxx(50,86,high,low)) as gdd50,
sum(gddxx(52,86,high,low)) as gdd52
from """+table+""" WHERE station = %s GROUP by year, month
""", (dbid, ))
monthly_rows = cursor.fetchall()
out = constants.make_output(constants.nt, dbid, "01")
caller(genPrecipEvents.write, cursor, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "02")
caller(gen30rains.write, mydb, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "03")
caller(genGDD.write, monthly_rows, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "04")
caller(genDailyRecords.write, mydb, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "05")
caller(genDailyRecordsRain.write, mydb, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "06")
caller(genDailyRange.write, mydb, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "07")
caller(genDailyMeans.write, mydb, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "08")
caller(genCountLows32.write, cursor, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "09")
caller(genSpringFall.write, out, rs, dbid, 32)
out.close()
out = constants.make_output(constants.nt, dbid, "10")
caller(genSpringFall.write, out, rs, dbid, 30)
out.close()
out = constants.make_output(constants.nt, dbid, "11")
caller(genSpringFall.write, out, rs, dbid, 28)
out.close()
out = constants.make_output(constants.nt, dbid, "12")
caller(genSpringFall.write, out, rs, dbid, 26)
out.close()
out = constants.make_output(constants.nt, dbid, "13")
caller(genSpringFall.write, out, rs, dbid, 24)
out.close()
out = constants.make_output(constants.nt, dbid, "14")
out2 = constants.make_output(constants.nt, dbid, "15")
out3 = constants.make_output(constants.nt, dbid, "16")
out4 = constants.make_output(constants.nt, dbid, "17")
caller(genMonthly.write, monthly_rows, out, out2, out3, out4, dbid)
out.close()
out2.close()
out3.close()
out4.close()
out = constants.make_output(constants.nt, dbid, "18")
caller(genHDD.write, monthly_rows, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "19")
caller(genCDD.write, monthly_rows, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "20")
caller(genHeatStress.write, cursor, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "21")
caller(genCountRain.write, monthly_rows, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "25")
caller(genCountSnow.write, monthly_rows, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "22")
caller(genFrostProbabilities.write, mydb, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "23")
caller(genSpringProbabilities.write, cursor, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "24")
caller(genCycles.write, out, rs, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "26")
caller(genTempThresholds.write, cursor, out, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "27")
caller(genRecordPeriods.write, mydb, out, rs, dbid)
out.close()
out = constants.make_output(constants.nt, dbid, "28")
caller(gen_precip_cats.write, mydb, out, rs, dbid)
out.close()
while now < ets:
ccursor.execute("""SELECT count(*) from alldata_%s where
station = '%s' and day = '%s' """ %
(state, station, now.strftime("%Y-%m-%d")))
row = ccursor.fetchone()
if row[0] == 0:
print 'Adding Date: %s station: %s' % (now, station)
ccursor.execute("""INSERT into alldata_%s (station, day, sday,
year, month) VALUES ('%s', '%s', '%s', %s, %s)
""" % (state, station, now.strftime("%Y-%m-%d"),
now.strftime("%m%d"), now.year, now.month))
now += interval
for station in nt.sts.keys():
sts = mx.DateTime.DateTime(constants.startyear(station), 1, 1)
ets = constants._ENDTS
# Check for obs total
now = sts
interval = mx.DateTime.RelativeDateTime(years=1)
while now < (ets - interval):
days = int(((now + interval) - now).days)
ccursor.execute("""SELECT count(*) from alldata_%s WHERE
year = %s and station = '%s'""" % (state, now.year, station))
row = ccursor.fetchone()
if row[0] != days:
print('Mismatch station: %s year: %s count: %s days: %s'
'') % (station, now.year, row[0], days)
fix_year(station, now.year)
now += interval
import datetime
def caller(func, *args):
#start = datetime.datetime.now()
ret = func(*args)
#end = datetime.datetime.now()
#print "%s %s took %s" % (func.__name__, args[-1], (end-start))
return ret
updateAll= False
for dbid in nt.sts.keys():
#print "processing [%s] %s" % (dbid, nt.sts[dbid]["name"])
sql = """SELECT d.*, c.climoweek from %s d, climoweek c
WHERE station = '%s' and day >= '%s-01-01' and d.sday = c.sday
ORDER by day ASC""" % (constants.get_table(dbid),
dbid, constants.startyear(dbid) )
rs = caller(mydb.query, sql).dictresult()
caller(genPrecipEvents.go, mydb, rs, dbid)
out = caller(constants.make_output, nt, dbid, "01")
caller(genPrecipEvents.write, mydb, out, dbid)
out.close()
out = caller(constants.make_output, nt, dbid, "02")
caller(gen30rains.write, mydb, out, dbid)
out.close()
caller(genGDD.go, mydb, rs, dbid, updateAll)
out = caller(constants.make_output, nt, dbid, "03")
caller(genGDD.write, mydb, out, dbid)
now = sts
while now < ets:
ccursor.execute("""SELECT count(*) from alldata_%s where
station = '%s' and day = '%s' """ % (state, station,
now.strftime("%Y-%m-%d")))
row = ccursor.fetchone()
if row[0] == 0:
print 'Adding Date: %s station: %s' % (now, station)
ccursor.execute("""INSERT into alldata_%s (station, day, sday,
year, month) VALUES ('%s', '%s', '%s', %s, %s)
""" % (state, station, now.strftime("%Y-%m-%d"),
now.strftime("%m%d"), now.year, now.month))
now += interval
for station in nt.sts.keys():
sts = mx.DateTime.DateTime(constants.startyear(station), 1, 1)
ets = constants._ENDTS
# Check for obs total
now = sts
interval = mx.DateTime.RelativeDateTime(years=1)
while now < (ets - interval):
days = int(((now + interval) - now).days)
ccursor.execute("""SELECT count(*) from alldata_%s WHERE
year = %s and station = '%s'""" % (state, now.year, station))
row = ccursor.fetchone()
if row[0] != days:
print ('Mismatch station: %s year: %s count: %s days: %s'
'') % (station, now.year, row[0], days)
fix_year(station, now.year)
now += interval
def write(mydb, out, out2, out3, out4, station):
s = constants.startts(station)
e = constants._ENDTS
YRCNT = constants.yrcnt(station)
YEARS = e.year - s.year + 1
interval = mx.DateTime.RelativeDateTime(months=+1)
now = s
db = {}
while (now < e):
db[now] = {"avg_high": "M", "avg_low": "M", "rain": "M"}
now += interval
rs = mydb.query("SELECT * from r_monthly WHERE station = '%s'" % (
station,) ).dictresult()
for i in range(len(rs)):
ts = mx.DateTime.strptime(rs[i]["monthdate"], "%Y-%m-%d")
if ts < constants._ARCHIVEENDTS:
db[ts] = rs[i]
out.write("""# Monthly Average High Temperatures [F]
YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC ANN
""")
moTot = {}
for mo in range(1,13):
moTot[mo] = 0
yrCnt = 0
yrAvg = 0
for yr in range(constants.startyear(station), constants._ENDYEAR):
yrCnt += 1
out.write("%4i" % (yr,) )
yrSum = 0
for mo in range(1, 13):
ts = mx.DateTime.DateTime(yr, mo, 1)
if (ts < constants._ARCHIVEENDTS):
moTot[mo] += int(db[ts]["avg_high"])
yrSum += int(db[ts]["avg_high"])
out.write( safePrint( db[ts]["avg_high"], 6, 0) )
if yr != constants._ARCHIVEENDTS.year:
yrAvg += float(yrSum) / 12.0
out.write("%6.0f\n" % ( float(yrSum) / 12.0, ) )
else:
out.write(" \n")
out.write("MEAN")
for mo in range(1,13):
moAvg = moTot[mo] / float( YRCNT[mo])
out.write("%6.0f" % (moAvg,) )
out.write("%6.0f\n" % (yrAvg / (float(YEARS)),) )
out2.write("""# Monthly Average Low Temperatures [F]
YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC ANN
""")
moTot = {}
for mo in range(1,13):
moTot[mo] = 0
yrCnt = 0
yrAvg = 0
for yr in range(constants.startyear(station), constants._ENDYEAR):
yrCnt += 1
out2.write("%4i" % (yr,) )
yrSum = 0
for mo in range(1, 13):
ts = mx.DateTime.DateTime(yr, mo, 1)
if (ts < constants._ARCHIVEENDTS):
moTot[mo] += int(db[ts]["avg_low"])
yrSum += int(db[ts]["avg_low"])
out2.write( safePrint( db[ts]["avg_low"], 6, 0) )
if yr != constants._ARCHIVEENDTS.year:
yrAvg += float(yrSum) / 12.0
out2.write("%6.0f\n" % ( float(yrSum) / 12.0, ) )
else:
out2.write(" M\n")
out2.write("MEAN")
for mo in range(1,13):
moAvg = moTot[mo] / float( YRCNT[mo])
out2.write("%6.0f" % (moAvg,) )
out2.write("%6.0f\n" % (yrAvg / float(YEARS),) )
out3.write("""# Monthly Average Temperatures [F] (High + low)/2
YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC ANN
""")
moTot = {}
for mo in range(1,13):
moTot[mo] = 0
yrCnt = 0
yrAvg = 0
for yr in range(constants.startyear(station), constants._ENDYEAR):
yrCnt += 1
out3.write("%4i" % (yr,) )
yrSum = 0
for mo in range(1, 13):
ts = mx.DateTime.DateTime(yr, mo, 1)
if (ts >= constants._ARCHIVEENDTS):
out.write("%6s" % ("M",))
continue
v = (float(db[ts]["avg_high"]) + float(db[ts]["avg_low"])) / 2.0
if (ts < constants._ARCHIVEENDTS):
moTot[mo] += v
yrSum += v
out3.write("%6.0f" % ( v, ) )
if yr != constants._ARCHIVEENDTS.year:
yrAvg += float(yrSum) / 12.0
out3.write("%6.0f\n" % ( float(yrSum) / 12.0, ) )
else:
out3.write(" M\n")
out3.write("MEAN")
for mo in range(1,13):
moAvg = moTot[mo] / float( YRCNT[mo] )
out3.write("%6.0f" % (moAvg,) )
out3.write("%6.0f\n" % (yrAvg / float(yrCnt),) )
out4.write("""# Monthly Liquid Precip Totals [inches] (snow is melted)
YEAR JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC ANN\n""")
moTot = {}
for mo in range(1,13):
moTot[mo] = 0
yrCnt = 0
yrAvg = 0
for yr in range(constants.startyear(station), constants._ENDYEAR):
yrCnt += 1
out4.write("%4i" % (yr,) )
yrSum = 0
for mo in range(1, 13):
ts = mx.DateTime.DateTime(yr, mo, 1)
if (ts < constants._ARCHIVEENDTS):
moTot[mo] += db[ts]["rain"]
yrSum += db[ts]["rain"]
out4.write( safePrint( db[ts]["rain"], 6, 2) )
yrAvg += float(yrSum)
out4.write("%6.2f\n" % ( float(yrSum), ) )
out4.write("MEAN")
for mo in range(1,13):
moAvg = moTot[mo] / float( YRCNT[mo] )
out4.write("%6.2f" % (moAvg,) )
out4.write("%6.2f\n" % (yrAvg / float(YEARS -1) ,) )