def main():
# -----------Setting up and unsing option parser-----------------------
parser = OptionParser(usage=usage, version=version)
parser.add_option("-d", "--doc",
action="store_true", dest="doc",
help="Prints more detailed documentation and exit")
parser.add_option("-v",
action="store_const", const=logging.DEBUG,
dest="loglevel", default=get_loglevel(),
help="Produce verbose output")
parser.add_option("-o", "--output",
action="store", dest="outfileName", default=None,
help="Output file")
parser.add_option("-i", "--i",
action="store", dest="infile",
help="Raster to be regionalized")
parser.add_option("-r", "--regdef",
action="store", dest="regdef",
help="Raster defining the regions found " +
"in statistics table")
parser.add_option("-s", "--stat",
action="store", dest="stat",
help="Tab-separated statistics table, " +
"with 1st column representing geocode and value " +
"representing region sum")
parser.add_option("-c", "--colname",
action="store", dest="colname",
help="Header of column in stat table to fetch " +
"region sums from")
(options, args) = parser.parse_args()
# ------------Setting up logging capabilities -----------
rootLogger = logger.RootLogger(int(options.loglevel))
global log
log = rootLogger.getLogger(sys.argv[0])
# ------------Process and validate options---------------
if options.doc:
print __doc__
sys.exit()
if len(args) > 0:
parser.error("Incorrect number of arguments")
regdef = Raster()
if options.regdef is not None:
regdef.read(options.regdef)
else:
log.error("No region definition raster specified")
sys.exit(1)
key = Raster()
if options.infile is not None:
key.read(options.infile)
else:
log.info("No initial distribution raster given, using " +
"homogenious distribution")
key.assign(regdef)
key.data = np.where(regdef.data != regdef.nodata, 1, regdef.nodata)
if options.stat is None:
log.error("No statistics table specified")
sys.exit(1)
if (regdef.xll != key.xll or regdef.yll != key.yll):
log.error("The raster domain size is differs between key raster " +
"and region raster")
stat = DataTable()
stat.read(options.stat, defaultType=float)
print stat.desc
stat.convertCol(stat.desc[0]["id"], int)
print stat.desc
# Set first column as unique id for rows
stat.setKeys([stat.desc[0]["id"]])
# Remove nodata in rasters
key.nodataToZero()
regdef.nodataToZero()
log.info("Consistency och completeness check for codes " +
"in regdef and statistics")
# Create list of codes in raster
regdefCodes = regdef.unique()
regdefCodes = map(int, regdefCodes)
if 0.0 in regdefCodes:
regdefCodes.remove(0.0)
statRegCodes = [row[0] for row in stat.data]
if options.colname is not None:
try:
col = stat.colIndex[options.colname]
except KeyError:
log.error("No column named " +
"%s found in statistics table" % options.colname)
sys.exit(1)
else:
col = 1
colId = stat.desc[col]["id"]
errFound = False
for code in statRegCodes:
# Assuring that the regional codes are present in regdef
if code not in regdefCodes:
log.error("Input Error: code:" + str(int(code)) +
"in reg totals is not represented in regional raster")
errFound = True
# Assuring that the regional raster IDs are present
# in the regional statistics
for code in regdefCodes:
if code not in statRegCodes:
log.error("Input Error: ID:" + str(code) +
" in region raster is not represented in " +
"regional totals!")
errFound = True
if errFound:
sys.exit(1)
# For all regions, calculate the regional sum,
# set the key values to key/regSum
res = np.zeros(key.data.shape)
log.info("Regionalizing key raster")
for code in regdefCodes:
emis = stat.lookup(colId, code)
log.debug("Statistics for reg %i: %f" % (code, emis))
mask = np.array(regdef.data == code)
regKey = mask * key.data
regSum = np.sum(np.sum(regKey))
if regSum > 0:
res = res + emis * regKey / regSum
else:
log.warning(
"Distribution key is zero for geocode" +
" %i, using homogenuous distribution for this region" % code)
res = res + emis * mask / np.sum(np.sum(mask))
key.data = res
# resultRast=(totFractionRast*key)*regionalTotals.regSum(substance)
key.write(options.outfileName)
log.info("Result with sum: %f written" % res.sum())
def main():
# -----------Setting up and unsing option parser-----------------------
parser = OptionParser(usage=usage, version=version)
parser.add_option("-d",
"--doc",
action="store_true",
dest="doc",
help="Prints more detailed documentation and exit")
parser.add_option("-v",
action="store_const",
const=logging.DEBUG,
dest="loglevel",
default=get_loglevel(),
help="Produce verbose output")
parser.add_option("-o",
"--output",
action="store",
dest="outfileName",
default=None,
help="Output file")
parser.add_option("-i",
"--i",
action="store",
dest="infile",
help="Raster to be regionalized")
parser.add_option("-r",
"--regdef",
action="store",
dest="regdef",
help="Raster defining the regions found " +
"in statistics table")
parser.add_option("-s",
"--stat",
action="store",
dest="stat",
help="Tab-separated statistics table, " +
"with 1st column representing geocode and value " +
"representing region sum")
parser.add_option("-c",
"--colname",
action="store",
dest="colname",
help="Header of column in stat table to fetch " +
"region sums from")
(options, args) = parser.parse_args()
# ------------Setting up logging capabilities -----------
rootLogger = logger.RootLogger(int(options.loglevel))
global log
log = rootLogger.getLogger(sys.argv[0])
# ------------Process and validate options---------------
if options.doc:
print __doc__
sys.exit()
if len(args) > 0:
parser.error("Incorrect number of arguments")
regdef = Raster()
if options.regdef is not None:
regdef.read(options.regdef)
else:
log.error("No region definition raster specified")
sys.exit(1)
key = Raster()
if options.infile is not None:
key.read(options.infile)
else:
log.info("No initial distribution raster given, using " +
"homogenious distribution")
key.assign(regdef)
key.data = np.where(regdef.data != regdef.nodata, 1, regdef.nodata)
if options.stat is None:
log.error("No statistics table specified")
sys.exit(1)
if (regdef.xll != key.xll or regdef.yll != key.yll):
log.error("The raster domain size is differs between key raster " +
"and region raster")
stat = DataTable()
stat.read(options.stat, defaultType=float)
print stat.desc
stat.convertCol(stat.desc[0]["id"], int)
print stat.desc
# Set first column as unique id for rows
stat.setKeys([stat.desc[0]["id"]])
# Remove nodata in rasters
key.nodataToZero()
regdef.nodataToZero()
log.info("Consistency och completeness check for codes " +
"in regdef and statistics")
# Create list of codes in raster
regdefCodes = regdef.unique()
regdefCodes = map(int, regdefCodes)
if 0.0 in regdefCodes:
regdefCodes.remove(0.0)
statRegCodes = [row[0] for row in stat.data]
if options.colname is not None:
try:
col = stat.colIndex[options.colname]
except KeyError:
log.error("No column named " +
"%s found in statistics table" % options.colname)
sys.exit(1)
else:
col = 1
colId = stat.desc[col]["id"]
errFound = False
for code in statRegCodes:
# Assuring that the regional codes are present in regdef
if code not in regdefCodes:
log.error("Input Error: code:" + str(int(code)) +
"in reg totals is not represented in regional raster")
errFound = True
# Assuring that the regional raster IDs are present
# in the regional statistics
for code in regdefCodes:
if code not in statRegCodes:
log.error("Input Error: ID:" + str(code) +
" in region raster is not represented in " +
"regional totals!")
errFound = True
if errFound:
sys.exit(1)
# For all regions, calculate the regional sum,
# set the key values to key/regSum
res = np.zeros(key.data.shape)
log.info("Regionalizing key raster")
for code in regdefCodes:
emis = stat.lookup(colId, code)
log.debug("Statistics for reg %i: %f" % (code, emis))
mask = np.array(regdef.data == code)
regKey = mask * key.data
regSum = np.sum(np.sum(regKey))
if regSum > 0:
res = res + emis * regKey / regSum
else:
log.warning("Distribution key is zero for geocode" +
" %i, using homogenuous distribution for this region" %
code)
res = res + emis * mask / np.sum(np.sum(mask))
key.data = res
# resultRast=(totFractionRast*key)*regionalTotals.regSum(substance)
key.write(options.outfileName)
log.info("Result with sum: %f written" % res.sum())
def main():
# Parse command line arguments
parser = argparse.ArgumentParser(description=__doc__)
utils.add_standard_command_options(parser)
parser.add_argument("controlfile", metavar='CONTROLFILE',
action="store",
help="Controlfile for topdown processing")
parser.add_argument("-t", "--template", metavar='TEMPLATEFILE',
action="store",dest="cf",default=None,
help="Generate default controlfile")
args = parser.parse_args()
if args.cf is not None:
generateCf(args.cf)
log.info("Wrote default controlfile")
sys.exit(0)
log.info("Starting topdown processing")
# Opening controlfile
cf = ControlFile(args.controlfile)
dmn = Domain()
log.info("Reading topdown table")
tdTableName = cf.findExistingPath("topDownTable:")
tdTable = DataTable()
tdTable.keys.append("Code")
tdTable.read(tdTableName,delimiter=";")
log.info("Reading national totals table")
natTotalTableName = cf.findExistingPath("nationalTotalTable:")
natTable = DataTable(desc=[{"id": "Code", "type":unicode},
{"id": "description", "type":unicode}])
natTable.keys.append("Code")
natTable.read(natTotalTableName, units=True, defaultType=str)
notationKeys = ["NE", "NO", "NA", "IE"]
log.debug("Remove notation keys from national totals table")
for row in natTable.data:
for i in range(len(row)):
if row[i] in notationKeys:
row[i] = None
log.debug("Convert all emission columns in national totals to float")
for colId in natTable.listIds():
if colId not in ["Code","description"]:
natTable.convertCol(colId,float)
log.debug("Store units from national totals for each substance in dict")
natUnits={}
for col in natTable.desc:
if col.get("units",None)!=None:
natUnits[col["id"]]=col["units"]
log.debug("Read remaining data from control file")
bottomupEdbName = cf.findString("bottomUpEdb:")
topDownEdbName = cf.findString("topDownEdb:")
emissionsEdbName = cf.findString("emissionsEdb:")
userName = cf.findString("user:"******"year:")
#initialize edb objects
buEdb = Edb(dmn,userName,bottomupEdbName)
tdEdb = Edb(dmn,userName,topDownEdbName)
eEdb = Edb(dmn,userName,emissionsEdbName)
log.info("Reading/preparing EDB:s")
log.info("Reading subdb")
subdb = Subdb(eEdb)
subdb.read()
log.info("Reading subgrpdb")
subgrpdb = SubgrpStream(buEdb)
subgrpdb.read()
log.info("Reading facilitydb")
facilityIn = FacilityStream(buEdb)
log.info("Reading companydb")
companyIn = CompanyStream(buEdb)
facilityOut = FacilityStream(eEdb,mode="w")
companyOut = CompanyStream(eEdb,mode="w")
log.info("Writing company db to result edb")
companyOut.write(companyIn.read())
log.info("Writing facility db to result edb")
facilityOut.write(facilityIn.read())
if not buEdb.exists():
log.error("Edb " + buEdb.name + " does not exist for user " + userName +
" in domain " + dmn.name)
sys.exit(1)
if not tdEdb.exists():
log.error("Edb " + tdEdb.name + " does not exist for user " + userName +
" in domain " + dmn.name)
sys.exit(1)
if not eEdb.exists():
log.error("Edb " + eEdb.name + " does not exist for user " + userName +
" in domain " + dmn.name)
sys.exit(1)
keys = tdEdb.listGrids()
msg = "%i keys found in edb: %s" % (len(keys), tdEdb.name)
log.info(msg)
# sourcedb from bottom-up edb
with SourceStream(buEdb, mode='rb') as source_instream:
source_reader = ModelReader(source_instream)
bu_sources = list(source_reader)
log.info(
"%i point sources found in edb: %s" % (
len(bu_sources),
buEdb.name)
)
# Empty sourcedb of the result edb
if cf.findBoolean("emptyEmissionSourcedb:"):
eEdb.empty_sourcedb()
e_sources = []
log.info("Removed point sources from edb: %s" % (eEdb.name))
else:
# sourcedb from emission edb (result edb)
with SourceStream(eEdb, mode='rb') as source_instream:
source_reader = ModelReader(source_instream)
e_sources = list(source_reader)
msg = "%i point sources found in edb: %s" % (len(e_sources), eEdb.name)
log.info(msg)
if not path.exists(eEdb.rsrcPath()):
log.error("No edb.rsrc exists for emission edb")
sys.exit()
else:
rsrc = Rsrc(eEdb.rsrcPath())
acIndex = cf.findInt("acIndex:")
codeDepth = rsrc.ac[acIndex-1].depth
substances = cf.findStringList("substances:")
for subst in substances:
if subst not in subdb.substIndices:
log.error("Substance: " + subst + " not in Airviro substance list")
sys.exit()
# Initialize trace for debug and additional logging
if cf.findBoolean("trace:") == True:
log.info("Initializing trace for detailed logging")
trace = TraceDef(
active=True,
substances=cf.findStringList("trace.substances:"),
logfile=cf.findString("trace.logfile:"),
regdefgc=cf.findIntList("trace.regdef.gc:",
optional=True,
default=None),
gcDefRaster=cf.findExistingPath("trace.gcraster:")
)
else:
trace = TraceDef(active=False)
log.info("Initializing result table")
resTablePath = cf.findString("resTable:")
resTable = DataTable(desc=[{"id": "Code", "type": unicode}])
resTable.keys.append("Code")
for subst in substances:
resTable.addCol({"id": subst, "type": float, "unit": "%"})
# Create emission grid template (with geocodes)
log.info("Reading emission grid template")
eGridTemplatePath = cf.findExistingPath("emisGridTemplatePath:")
eGridTemplate = Egrid(eEdb,"name")
if eGridTemplatePath[-4:] == ".asc":
eGridTemplatePath=eGridTemplatePath[:-4]
eGridTemplate.readData(eGridTemplatePath)
eGridTemplate.substances = {}
eGridTemplate.par["SUBSTANCE"].val = []
dd = {"key": None,
"regstat": None,
"regdef": None,
"bu_sources": bu_sources,
"psIndices": [],
"units": natUnits,
"rsrc": rsrc,
"subdb": subdb,
"trace": trace,
"subgrpdb": subgrpdb
}
# Process all rows in the topdown table
for row in tdTable.data:
code = row[tdTable.colIndex["Code"]]
active = row[tdTable.colIndex["Active"]]
statType = row[tdTable.colIndex["Stat_type"]]
if active == "no":
continue
log.info("Code: "+code)
distributed=False
# Add '-' to the code to reach max length (fix for a GUI bug)
airviroCode = code
# while len(airviroCode.split(".")) < codeDepth:
# airviroCode += ".-"
tdrow = tdTable.data[tdTable.rowIndex([code])]
nrow = natTable.data[natTable.rowIndex([code])]
# Create a resTable row to fill with data
resrow = [None] * resTable.ncols
resrow[0] = code
# Check if national totals are non-zero
nonZero = False
for val in nrow:
if val != None:
if val > 0:
nonZero = True
break
# Filter out indices for pointsources with the current ac
# Also including sources coded with sub-codes
# This allows to estimate top-down emissions on a higher code-level
psIndices = []
for i, ps in enumerate(bu_sources):
codeMatch = False
for emis in ps.EMISSION:
# It is assumed that the first code is used while processing topdown
ac = emis.ACTCODE[0]
if ac[-1] == ".":
ac=ac[:-1]
# if ac[:len(code)] == code:
if ac == code:
codeMatch = True
break
if not codeMatch:
for emis in ps.SUBGRP:
# It is assumed that the first code is used while processing topdown
ac = emis.ACTCODE[0]
if ac[:len(code)] == code:
codeMatch = True
break
if codeMatch:
psIndices.append(i)
dd["psIndices"] = psIndices
keyName = row[tdTable.colIndex["Key"]]
#If no distribution key specified and no ps in bottom-up edb - cont.
if keyName is None and psIndices == []:
log.debug("No key and no point sources found for code: %s, skipping..." % code)
resTable.addRow(resrow)
continue
if psIndices!=[]:
msg = "--Found %i pointsources" % len(psIndices)
log.info(msg)
if keyName is not None:
if keyName not in keys:
log.error("No such key: " + keyName)
sys.exit()
msg = "--Key: %s" % keyName
log.info(msg)
keyGrid = Egrid(tdEdb, keyName)
keyGrid.readData()
log.debug("Read key: " + keyName + " from topdownEdb")
# create emission grid to store distributed emissions
eGrid = deepcopy(eGridTemplate)
eGrid.name = code.replace(".", "_")
eGrid.par["NAME"].val = code
eGrid.par["INFO2"].val = "Distribution key: " + keyGrid.par["NAME"].val
eGrid.par["ACTIVITYCODE"].val = [airviroCode.split(".")]
regstatName = row[tdTable.colIndex["Regstat"]]
regdefName = row[tdTable.colIndex["Regdef"]]
if regstatName is not None:
if regdefName is None:
log.error("No region definition given for regional statistics: " +
regstatName)
sys.exit(1)
regstatPath = path.join(dmn.domainPath(), "topdown", "regstat", regstatName)
regstat = DataTable()
log.info("regstatPath: "+regstatPath)
regstat.read(regstatPath, units=True, defaultType=float, delimiter=";")
if not "Geocode" in regstat.listIds():
log.error("No Geocode column found in regstat")
sys.exit(1)
regstat.convertCol("Geocode", int)
regstat.keys.append("Geocode") # Making Geocode the primary key
# create list of unique geo codes
geocodes = [row[regstat.colIndex["Geocode"]] for row in regstat.data]
geocodes = unique(geocodes)
for colId in regstat.listIds():
if colId.lower() == "year":
rows = []
regstat.convertCol(colId, int)
# Make it possible to accumulate year
regstat.setKeys(regstat.keys + [colId])
# Calculates the total emission for each geocode
# in case there are multiple rows for different fuels etc
colsToSum = regstat.listIds()
colsToSum.remove(colId)
colsToSum.remove("Geocode")
for gc in geocodes:
# sums all numeric values in colsToSum for
# rows matching row id [gc,year]
#returns an accumulated row and appends it to rows
rowId = regstat.dict2RowId({"Geocode": gc, colId: year})
rows.append(regstat.accumulate(rowId, "sum", colsToSum))
regstat.data = rows # replace original rows with accumulated rows
regstat.keys.remove(colId)
break
# dd["regstat"] = regstat
regdef = Raster()
regdefPath = path.join(dmn.domainPath(), "topdown", "regdef", regdefName)
regdef.read(regdefPath)
dd["regstat"] = regstat
dd["regdef"] = regdef
else:
dd["regstat"] = None
dd["regdef"] = None
if dd["regstat"] is not None and len(bu_sources) > 0 and statType == "fixed":
log.info("--Regionalizing pointsources")
dd = regionalizePS(dd, code)
if keyName is not None and nonZero:
regionalizedDefault = False
# Spatial distribution of emissions
for subst in substances:
sInd = subdb.substIndices[subst]
toUnit = dd["units"][subst] + "/year"
ntot = nrow[natTable.colIndex[subst]]
pstot = 0
for i in dd["psIndices"]:
source = dd["bu_sources"][i]
# TODO: should give reference to subgrps to include emis from them
pstot += source.get_emis(
sInd,
toUnit,
eEdb,
actcodes=[code]
)
if ntot is None or ntot == 0:
if pstot > 0:
# 9999 is used as marker for no national total
resrow[resTable.colIndex[subst]] = 9999.0
log.warning(
"Nattot is 0 but ps tot is: %f %s" % (pstot, toUnit))
continue
nrest = ntot - pstot
resrow[resTable.colIndex[subst]] = 100.0
if abs(nrest / ntot) < 0.0001:
nrest = 0
log.info(
"--Rest is < 0.01 % of national total, rounded to zero"
)
continue
elif nrest < 0:
log.warning(
"--National rest is below zero, %4.2f proc for %s" % (
-1 * nrest / ntot * 100,
subst)
)
dd["trace"].write()
# continue
log.info(
"---Substance: "+subst+
", rest is: " + str(nrest) +
toUnit + " = " + str(nrest / ntot * 100.0) + "%"
)
try:
keyRast = keyGrid.substances[sInd]
except KeyError:
keyRast = keyGrid.substances[subdb.substIndices["all"]]
dd["key"] = keyRast
if dd["regstat"] is not None:
if (subst not in regstat.colIndex and
sInd not in keyGrid.substances and not regionalizedDefault):
dd = regionalizeKey(dd, subst, code)
regionalizedDefault = True
else:
dd = regionalizeKey(dd, subst, code)
emisRast = distribute(dd["key"], nrest)
emisRast = emisRast * unitConvFac(toUnit, "ton/year")
eGrid.addData(emisRast, dd["subdb"].substIndices[subst])
distributed = True
else:
# resTable is filled
# In case all national totals are zero but there are ps
for subst in substances:
sInd = dd["subdb"].substIndices[subst]
toUnit = dd["units"][subst] + "/year"
ntot = nrow[natTable.colIndex[subst]]
pstot = 0
for i in dd["psIndices"]:
source = dd["bu_sources"][i]
# subgrps are not used!
pstot += source.get_emis(sInd, toUnit, buEdb,
actcodes=[code])
if ntot!=0 and ntot is not None:
resrow[resTable.colIndex[subst]] = pstot / ntot * 100.0
else:
resrow[resTable.colIndex[subst]] = -999.0
if len(dd["psIndices"]) > 0:
tmp_sources = (bu_sources[i] for i in dd["psIndices"])
with SourceStream(eEdb, mode='wb') as out_source_stream:
source_writer = ModelWriter(out_source_stream)
for source in tmp_sources:
source_writer.write(source)
log.debug("Wrote ps to emission edb")
if distributed:
eGrid.load()
log.debug("Wrote emission grid to emission edb")
dd["trace"].write()
resTable.addRow(resrow)
resTableFile = open(resTablePath,"w")
resTable.write(resTableFile)
log.info("Finished topdown process")
