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 write(mydb, out, station):
r = {}
out.write("""#DAILY MEAN HIGHS AND LOWS 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
""" % (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("%2i" % (day,) )
for mo in range(1,13):
try:
ts = mx.DateTime.DateTime(2000, mo, day)
except:
out.write(" *** ***")
continue
if not r.has_key(ts) or r[ts]['high'] is None:
out.write(" *** ***")
continue
out.write("%4i%4i" % (r[ts]["high"], r[ts]["low"]) )
out.write("\n")
def write(mydb, out, station):
r = {}
out.write("""# DAILY MAXIMUM PRECIPITATION FOR STATION NUMBER %s
JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
""" % (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)
except:
out.write(" ****")
continue
if not r.has_key(ts) or r[ts]['max_precip'] is None:
out.write(" ****")
continue
out.write("%6.2f" % (r[ts]["max_precip"]) )
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 go(mydb, rs, stationID):
s = mx.DateTime.DateTime(2000, 1, 1)
e = mx.DateTime.DateTime(2001, 1, 1)
interval = mx.DateTime.RelativeDateTime(days=+1)
r = {}
now = s
while (now < e):
r[now] = {'max': 0, 'min': 100}
now += interval
for i in range(len(rs)):
valid = mx.DateTime.strptime(rs[i]["day"], "%Y-%m-%d")
valid += mx.DateTime.RelativeDateTime(year=2000)
try:
high = int(rs[i]["high"])
low = int(rs[i]["low"])
tr = high - low
except:
continue
if (tr > r[valid]["max"]):
r[valid]["max"] = tr
if (tr < r[valid]["min"]):
r[valid]["min"] = tr
for day in r.keys():
sql = "UPDATE %s SET max_range = %s, min_range = %s \
WHERE station = '%s' and valid = '%s' " % (constants.climatetable(stationID), r[day]["max"], \
r[day]["min"], stationID, day.strftime("%Y-%m-%d") )
mydb.query(sql)
def process(id, csv,yr):
for i in range(1,13):
# Compute 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' and
extract(month from valid) = %s""" % (constants.climatetable(id), id, i)
rs = constants.mydb.query(sql).dictresult()
aHigh = rs[0]["avg_high"]
aLow = rs[0]["avg_low"]
aRain = rs[0]["rain"]
# Fetch Obs
sql = """SELECT round(avg_high::numeric,1) as avg_high,
round(avg_low::numeric,1) as avg_low,
round(rain::numeric,2) as rain from r_monthly WHERE station = '%s'
and monthdate = '%s-%02i-01'""" % (id, yr, i)
rs = constants.mydb.query(sql).dictresult()
oHigh = rs[0]["avg_high"]
oLow = rs[0]["avg_low"]
oRain = rs[0]["rain"]
csv.write("%s,%s,%s,%s,%s,%s," % (oLow,aLow,oHigh,aHigh,oRain,aRain) )
# Need to do yearly stuff
# First, get our obs
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' and year = %s """ % (constants.get_table(id), id, yr)
rs = constants.mydb.query(sql).dictresult()
oHigh = rs[0]["avg_high"]
oLow = rs[0]["avg_low"]
oRain = rs[0]["rain"]
# 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.lower()), 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,%s,%s,%s," % (oLow,aLow,oHigh,aHigh,oRain,aRain) )
csv.write("\n")
csv.flush()
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 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()
