/usr/lib/python3/dist-packages/dballe/dbacsv.py is in python3-dballe 7.21-1build1.
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# coding: utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import dballe
import csv
import sys
import warnings
"""
Export data from DB-All.e into CSV format
"""
def intormiss(x):
"""
Format an integer to a string, returning '-' if the integer is None.
"""
if x is None:
return "-"
else:
return "%d" % x
class UnicodeCSVWriter(object):
"""
Hack to work around the csv module being unable to handle unicode rows in
input, and unicode files in output
"""
class UnicodeFdWrapper(object):
"""
Wrap an output file descriptor into something that accepts utf8 byte
strings and forwards unicode
"""
def __init__(self, outfd):
self.outfd = outfd
def write(self, bytestr):
self.outfd.write(bytestr.decode("utf-8"))
def __init__(self, outfd, *writer_args, **writer_kw):
self.writer = csv.writer(self.UnicodeFdWrapper(outfd), *writer_args, **writer_kw)
def encode_field(self, val):
encode = getattr(val, "encode", None)
if encode is not None:
return encode("utf-8")
else:
return val
def writerow(self, row):
enc = self.encode_field
self.writer.writerow([enc(s) for s in row])
class Column(object):
def __init__(self):
self.values = set()
def is_single_val(self):
return len(self.values) == 1
def column_labels(self):
return [self.LABEL]
def title(self):
return "{} {}".format(self.LABEL, next(iter(self.values)))
class ColumnStation(Column):
def __init__(self, stations):
super(ColumnStation, self).__init__()
self.stations = stations
self.idents = set()
def add(self, row):
self.values.add(row["ana_id"])
ident = row.get("ident", None)
if ident is not None: self.idents.add(ident)
def title(self):
id = next(iter(self.values))
lat, lon, ident = self.stations[id]
if ident is None:
return "Fixed station, lat {}, lon {}".format(lat, lon)
else:
return "Mobile station {}, lat {}, lon {}".format(ident, lat, lon)
def column_labels(self):
res = ["Station", "Latitude", "Longitude"]
if self.idents: res.append("Ident")
return res
def column_data(self, rec):
id = rec["ana_id"]
lat, lon, ident = self.stations[id]
res = [id, lat, lon]
if self.idents:
res.append(ident or "")
return res
class ColumnNetwork(Column):
LABEL = "Network"
def add(self, row):
self.values.add(row["rep_memo"])
def column_data(self, rec):
return [rec["rep_memo"]]
class ColumnDatetime(Column):
LABEL = "Datetime"
def add(self, row):
# Suppress deprecation warnings until we have something better
with warnings.catch_warnings():
warnings.simplefilter("ignore", DeprecationWarning)
self.values.add(row["date"])
def title(self):
return str(next(iter(self.values)))
def column_data(self, rec):
# Suppress deprecation warnings until we have something better
with warnings.catch_warnings():
warnings.simplefilter("ignore", DeprecationWarning)
return [rec["date"]]
class ColumnLevel(Column):
def add(self, row):
# Suppress deprecation warnings until we have something better
with warnings.catch_warnings():
warnings.simplefilter("ignore", DeprecationWarning)
self.values.add(",".join([intormiss(x) for x in row["level"]]))
def title(self):
return "Level {}".format(next(iter(self.values)))
def column_labels(self):
return ["Level1", "L1", "Level2", "L2"]
def column_data(self, rec):
# Suppress deprecation warnings until we have something better
with warnings.catch_warnings():
warnings.simplefilter("ignore", DeprecationWarning)
lev = rec["level"]
return [
intormiss(lev[0]),
intormiss(lev[1]),
intormiss(lev[2]),
intormiss(lev[3])
]
class ColumnTrange(Column):
def add(self, row):
# Suppress deprecation warnings until we have something better
with warnings.catch_warnings():
warnings.simplefilter("ignore", DeprecationWarning)
self.values.add(",".join([intormiss(x) for x in row["trange"]]))
def title(self):
return "Time range {}".format(next(iter(self.values)))
def column_labels(self):
return ["Time range", "P1", "P2"]
def column_data(self, rec):
# Suppress deprecation warnings until we have something better
with warnings.catch_warnings():
warnings.simplefilter("ignore", DeprecationWarning)
tr = rec["trange"]
return [
intormiss(tr[0]),
intormiss(tr[1]),
intormiss(tr[2])
]
class ColumnVar(Column):
LABEL = "Variable"
def add(self, row):
self.values.add(row["var"])
def column_data(self, rec):
return [rec["var"]]
class ColumnValue(Column):
LABEL = "Value"
def add(self, row):
self.values.add(row.var(row["var"]).format(""))
def column_data(self, rec):
return [rec.var(rec["var"]).format("")]
class ColumnStationData(Column):
def __init__(self, varcode, station_data):
super(ColumnStationData, self).__init__()
self.varcode = varcode
# { Station id: { varcode: value } }
self.station_data = station_data
def add(self, row):
self.values.add(row[self.varcode])
def title(self):
data = next(iter(self.station_data.values()))
var = data.get(self.varcode, None)
if var is None:
value = ""
else:
value = var.format("")
return "Station {}: {}".format(self.varcode, value)
def column_labels(self):
return ["Station {}".format(self.varcode)]
def column_data(self, rec):
id = rec["ana_id"]
data = self.station_data[id]
var = data.get(self.varcode, None)
if var is None:
return [""]
else:
return [var.format("")]
class ColumnAttribute(Column):
def __init__(self, varcode, attributes):
super(ColumnAttribute, self).__init__()
self.varcode = varcode
# { "context_id,varcode": { varcode: value } }
self.attributes = attributes
def add(self, var):
self.values.add(var.format(""))
def title(self):
data = next(iter(self.attributes.itervalues()))
var = data.get(self.varcode, None)
if var is None:
value = ""
else:
value = var.format("")
return "Attr {}: {}".format(self.varcode, value)
def column_labels(self):
return ["Attr {}".format(self.varcode)]
def column_data(self, rec):
data = self.attributes["{},{}".format(rec["context_id"], rec["var"])]
var = data.get(self.varcode, None)
if var is None:
return [""]
else:
return [var.format("")]
class Exporter:
def __init__(self, db):
self.db = db
self.title = ""
self.cols = []
# { Station id: { varcode: value } }
self.station_data = {}
# { "context_id,varcode": { varcode: value } }
self.attributes = {}
def compute_columns(self, filter):
"""
Compute what columns need to be in the output CSV.
It queries DB-All.e once; another query will be needed later to output
data.
"""
# Station data indexed by station id
stations = {}
# Do one pass over the result set to compute the columns
columns = [
ColumnStation(stations),
ColumnNetwork(),
ColumnDatetime(),
ColumnLevel(),
ColumnTrange(),
ColumnVar(),
ColumnValue(),
]
station_var_cols = {}
attribute_cols = {}
rowcount = 0
for row in self.db.query_data(filter):
rowcount += 1
# Let the columns examine this row
for c in columns:
c.add(row)
# Index station data by ana_id
id = row["ana_id"]
stations[id] = [row["lat"], row["lon"], row.get("ident", None)]
# Load station variables for this station
if id not in self.station_data:
query = dballe.Record(ana_id=id)
items = {}
for record in self.db.query_station_data(query):
v = record.var(record["var"])
items[v.code] = v
col = station_var_cols.get(v.code, None)
if col is None:
station_var_cols[v.code] = col = ColumnStationData(v.code, self.station_data)
col.add(record)
self.station_data[id] = items
# Load attributes
attributes = {}
for key, v in self.db.attr_query_data(row["context_id"]).varitems():
code = v.code
attributes[code] = v
col = attribute_cols.get(code, None)
if col is None:
attribute_cols[code] = col = ColumnAttribute(code, self.attributes)
col.add(v)
self.attributes["{},{}".format(row["context_id"], row["var"])] = attributes
self.rowcount = rowcount
# Now that we have detailed info, compute the columns
# Build a list of all candidate columns
all_columns = []
all_columns.extend(columns)
for k, v in sorted(station_var_cols.items()):
all_columns.append(v)
for k, v in sorted(attribute_cols.items()):
all_columns.append(v)
# Dispatch them between title and csv body
self.title_columns = []
self.csv_columns = []
for col in all_columns:
if col.is_single_val():
self.title_columns.append(col)
else:
self.csv_columns.append(col)
def output(self, query, fd):
"""
Perform a DB-All.e query using the given query and output the results
in CSV format on the given file object
"""
if sys.version_info[0] >= 3:
writer = csv.writer(fd, dialect="excel")
else:
writer = UnicodeCSVWriter(fd)
self.compute_columns(query)
# Don't query an empty result set
if self.rowcount == 0:
print("Result is empty.", file=sys.stderr)
return
row_headers = []
for c in self.csv_columns:
row_headers.extend(c.column_labels())
# Print the title if we have it
if self.title_columns:
title = "; ".join(c.title() for c in self.title_columns)
row = ["" for x in row_headers]
row[0] = title
writer.writerow(row)
# Print the column headers
writer.writerow(row_headers)
for rec in self.db.query_data(query):
row = []
for c in self.csv_columns:
row.extend(c.column_data(rec))
writer.writerow(row)
def export(db, query, fd):
"""
Perform a DB-All.e query using the given db and query query, and output
the results in CSV format on the given file object
"""
e = Exporter(db)
e.output(query, fd)
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