/usr/lib/python2.7/dist-packages/dballe/dbacsv.py is in python-dballe 6.8-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 | #!/usr/bin/python
"""
Export data from DB-All.e into CSV format
"""
import dballe
import csv
def intormiss(x):
if x is None:
return "-"
else:
return "%d" % x
class Exporter:
def __init__(self, db):
self.db = db
self.title = ""
self.cols = []
self.anaData = {}
self.attrData = {}
def getpaval (self, x, var):
id = x["ana_id"]
data = self.anaData[id]
#print "***********", id, av, data
if data.has_key(var):
return data[var].format("")
else:
return ""
def getattrval (self, x, v):
data = self.attrData["%d,%s"%(x["context_id"],x["var"])]
if v in data:
return data.var(v).format()
else:
return ""
def computeColumns(self, filter):
title = ""
cols = []
# Do one pass over the result set to compute the columns
stations = {}
idents = set()
anaVars = {}
reps = set()
dates = set()
levels = set()
tranges = set()
vars = set()
attrs = {}
for d in self.db.query_data(filter):
# Add columns about the station
id = d["ana_id"]
stations[id] = [d["lat"], d["lon"], d.get("ident", None)]
idents.add(d.get("ident", None))
# Get info about the pseudoana extra data
if id not in self.anaData:
query = dballe.Record(ana_id=id)
query.set_station_context()
items = {}
for record in self.db.query_data(query):
v = record.var()
items[v.code] = v
val = v.get()
if v.code in anaVars:
if anaVars[v.code] != val:
anaVars[v.code] = None
else:
anaVars[v.code] = val
#print id, v, items[v].format('none')
self.anaData[id] = items
# Add columns about the context
# Repcod
reps.add(d["rep_memo"])
# Date
dates.add(d["date"])
# Level layer
levels.add(",".join([intormiss(x) for x in d["level"]]))
# Time range
tranges.add(",".join([intormiss(x) for x in d["trange"]]))
# Variables
vars.add(d["var"])
# Attributes
attributes = self.db.query_attrs(d["var"], d["context_id"])
self.attrData["%d,%s"%(d["context_id"], d["var"])] = attributes
for code in attributes:
v = attributes.var(code)
val = v.format("");
if code in attrs:
if attrs[code] != val:
attrs[code] = None
else:
attrs[code] = val
# Now that we have detailed info, compute the columns
if len(stations) == 1:
# Get the data on the station
for i in stations.itervalues():
data = i
break;
if data[2] == None:
title = title + "Fixed station, lat %f, lon %f. " % (data[0], data[1])
else:
title = title + "Mobile station %s, lat %f, lon %f. " % (data[2], data[0], data[1])
else:
cols.append(["Station", lambda x: x["ana_id"]])
cols.append(["Latitude", lambda x: x["lat"]])
cols.append(["Longitude", lambda x: x["lon"]])
if len(idents) > 1:
cols.append(["Ident", lambda x: x.get("ident", None) or ""])
# Repcod
if len(reps) == 1:
title = title + "Report: %s." % reps.pop()
elif len(reps) > 1:
cols.append(["Report", lambda x: x["rep_memo"]])
# Date
if len(dates) == 1:
title = title + "Date: %s." % (dates.pop())
elif len(dates) > 1:
cols.append(["Date", lambda x: x["date"]])
# Level layer
if len(levels) == 1:
title = title + "Level: %s." % (levels.pop())
elif len(levels) > 1:
cols.append(["Level1", lambda x: intormiss(x["leveltype1"])])
cols.append(["L1", lambda x: intormiss(x["l1"])])
cols.append(["Level2", lambda x: intormiss(x["leveltype2"])])
cols.append(["L2", lambda x: intormiss(x["l2"])])
# Time range
if len(tranges) == 1:
title = title + "Time range: %s." % (tranges.pop())
elif len(tranges) > 1:
cols.append(["Time range", lambda x: intormiss(x["pindicator"])])
cols.append(["P1", lambda x: intormiss(x["p1"])])
cols.append(["P2", lambda x: intormiss(x["p2"])])
# Variables
for v in sorted(vars):
cols.append([v, lambda x, v=v: x.var(v).format("")])
# Column for special station ana data
for av in sorted(anaVars.keys()):
if anaVars[av] == None:
# Dirty workaround to compensate Python's lack of proper
# anonymous functions: see http://www.jnetworld.com/python.htm
cols.append(["Ana "+av, lambda a, av=av: self.getpaval(a, av)])
else:
title = title + "Ana %s: %s. " % (av, anaVars[av])
# Attributes
for v in sorted(attrs.keys()):
if attrs[v] == None:
# Dirty workaround to compensate Python's lack of proper
# anonymous functions: see http://www.jnetworld.com/python.htm
cols.append(["Attr "+v, lambda a, v=v: self.getattrval(a, v)])
else:
title = title + "Attr %s: %s. " % (v, attrs[v])
self.title = title
self.cols = cols
def output(self, filter, fd):
"""
Perform a DB-All.e query using the given filter and output the results
in CSV format on the given file object
"""
#writer = csv.writer(fd, dialect="excel")
writer = csv.writer(fd)
self.computeColumns(filter)
# Don't query an empty result set
if len(self.cols) == 0:
sys.stderr.write("Warning: result is empty.\n")
return
# Print the title if we have it
if len(self.title) > 0:
row = ["" for x in range(len(self.cols))]
row[0] = self.title
writer.writerow(row)
# Print the column titles
writer.writerow([x[0] for x in self.cols])
for result in self.db.query_data(filter):
fields = []
for c in self.cols:
fields.append(c[1](result))
writer.writerow(fields)
def export(db, query, file):
"""
Perform a DB-All.e query using the given db and query filter, and output
the results in CSV format on the given file object
"""
e = Exporter(db)
e.output(query, file)
# vim:set ts=4 sw=4 expandtab:
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