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test_bufr_data.py
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353 lines (326 loc) · 13.5 KB
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# Copyright 2022- ECMWF.
#
# This software is licensed under the terms of the Apache Licence Version 2.0
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
# In applying this licence, ECMWF does not waive the privileges and immunities
# granted to it by virtue of its status as an intergovernmental organisation
# nor does it submit to any jurisdiction.
# flake8: noqa: F403
# flake8: noqa: F405
import sys
import warnings
import numpy as np
import pytest as pt
from eccodes import *
from eccodes.highlevel._bufr.message import *
if sys.platform.startswith("win32"):
pt.skip("Not applicable on Windows", allow_module_level=True)
@pt.fixture(autouse=True)
def fixture(monkeypatch):
import os
this_dir = os.path.dirname(__file__)
monkeypatch.chdir(this_dir) # always run tests from the tests directory
def test_data_key():
assert Key.from_string("year") == Key(name="year")
assert Key.from_string("year->code") == Key(name="year", attribute="code")
assert Key.from_string("year->units") == Key(name="year", attribute="units")
assert Key.from_string("year->reference") == Key(name="year", attribute="reference")
assert Key.from_string("year->scale") == Key(name="year", attribute="scale")
assert Key.from_string("year->width") == Key(name="year", attribute="width")
assert Key.from_string("year->percentConfidence") == Key(
name="year->percentConfidence", primary="year", secondary="percentConfidence"
)
assert Key.from_string("year->percentConfidence->code") == Key(
name="year->percentConfidence",
primary="year",
secondary="percentConfidence",
attribute="code",
)
assert Key.from_string("#1#year") == Key(name="year", rank=1)
assert Key.from_string("#1#year->code") == Key(
name="year", rank=1, attribute="code"
)
assert Key.from_string("#1#year->percentConfidence") == Key(
name="year->percentConfidence",
rank=1,
primary="year",
secondary="percentConfidence",
)
assert Key.from_string("#1#year->percentConfidence->code") == Key(
name="year->percentConfidence",
rank=1,
primary="year",
secondary="percentConfidence",
attribute="code",
)
assert "year" == Key(name="year").string
assert "year->code" == Key(name="year", attribute="code").string
assert "year->units" == Key(name="year", attribute="units").string
assert "year->reference" == Key(name="year", attribute="reference").string
assert "year->scale" == Key(name="year", attribute="scale").string
assert "year->width" == Key(name="year", attribute="width").string
assert (
"year->percentConfidence"
== Key(
name="year->percentConfidence",
primary="year",
secondary="percentConfidence",
).string
)
assert (
"year->percentConfidence->code"
== Key(
name="year->percentConfidence",
primary="year",
secondary="percentConfidence",
attribute="code",
).string
)
assert "#1#year" == Key(name="year", rank=1).string
assert "#1#year->code" == Key(name="year", rank=1, attribute="code").string
assert (
"#1#year->percentConfidence"
== Key(
name="year->percentConfidence",
rank=1,
primary="year",
secondary="percentConfidence",
).string
)
assert (
"#1#year->percentConfidence->code"
== Key(
name="year->percentConfidence",
rank=1,
primary="year",
secondary="percentConfidence",
attribute="code",
).string
)
with pt.raises(NotFoundError):
Key.from_string("/pressure=85000/airTemperature")
def test_data_accessors():
bufr = BUFRMessage(open("./sample-data/synop.bufr"))
# Header keys (should not be accessible from the Data class)
assert "edition" not in bufr.data
with pt.raises(NotFoundError):
bufr.data["edition"]
with pt.raises(NotFoundError):
bufr.data["edition"] = 3
# Data keys: defined
assert "year" in bufr.data
assert "year->code" in bufr.data
assert "year->percentConfidence" in bufr.data
assert "year->percentConfidence->code" in bufr.data
assert "#1#year" in bufr.data
assert "#1#year->code" in bufr.data
assert "#1#year->percentConfidence" in bufr.data
assert "#1#year->percentConfidence->code" in bufr.data
assert bufr.data["year"] == 2009
assert bufr.data["year->code"] == 4001
assert bufr.data["year->percentConfidence"] == 70
assert np.all(
bufr.data["cloudAmount"] == np.ma.masked_values([8, -1, -1, -1, -1], -1)
)
# assert bufr.data['year->percentConfidence->code'] == TODO
assert bufr.data["#1#year"] == 2009
assert bufr.data["#1#year->code"] == 4001
assert bufr.data["#1#year->percentConfidence"] == 70
assert bufr.data["#1#cloudAmount"] == 8
# assert bufr.data['#1#year->percentConfidence->code'] == TODO
bufr.data["year"] = 2025
bufr.data["year->percentConfidence"] = 100
bufr.data["cloudAmount"] = [1, 2, 3, 4, 5]
bufr.data["#1#year"] = 2025
bufr.data["#1#year->percentConfidence"] = 100
bufr.data["#1#cloudAmount"] = 8
with pt.raises(ReadOnlyError):
bufr.data["year->code"] = 0
with pt.raises(ReadOnlyError):
bufr.data["#1#year->code"] = 0
# with pt.raises(ReadOnlyError): bufr.data['#1#year->percentConfidence->code'] = TODO
# Data keys: undefined
assert "year->code->code" not in bufr.data
assert "year->percentConfidence->code->code" not in bufr.data
assert "#2#year" not in bufr.data
assert "#2#year->percentConfidence" not in bufr.data
assert "#2#year->percentConfidence->code" not in bufr.data
# Negative subscripts
bufr = BUFRMessage(open("./sample-data/temp.bufr"))
assert "centre" in bufr.data[-1]
assert np.all(bufr.data[-1]["centre"] == bufr.data[2]["centre"])
assert "pressure" in bufr.data[-2]
assert np.all(bufr.data[-2]["pressure"] == bufr.data[1]["pressure"])
assert "blockNumber" in bufr.data[-3]
assert bufr.data[-3]["blockNumber"] == bufr.data[0]["blockNumber"]
with pt.raises(IndexError):
bufr.data[-4]
def test_data_get_count():
bufr = BUFRMessage(open("./sample-data/synop.bufr"))
with pt.raises(KeyValueNotFoundError):
bufr.data.get_count("edition")
assert bufr.get_count("year") == 1
assert bufr.get_count("year->code") == 1
assert bufr.get_count("year->percentConfidence") == 1
assert bufr.get_count("year->percentConfidence->code") == 1
assert bufr.get_count("#1#year") == 1
assert bufr.get_count("#1#year->code") == 1
assert bufr.get_count("#1#year->percentConfidence") == 1
assert bufr.get_count("#1#year->percentConfidence->code") == 1
with pt.raises(KeyValueNotFoundError):
bufr.get_count("#2#year")
assert bufr.get_count("cloudAmount") == 5
assert bufr.get_count("cloudAmount->code") == 5
assert bufr.get_count("cloudAmount->percentConfidence") == 5
assert bufr.get_count("cloudAmount->percentConfidence->code") == 5
assert bufr.get_count("#1#cloudAmount") == 1
assert bufr.get_count("#1#cloudAmount->code") == 1
assert bufr.get_count("#1#cloudAmount->percentConfidence") == 1
assert bufr.get_count("#1#cloudAmount->percentConfidence->code") == 1
with pt.raises(KeyValueNotFoundError):
bufr.get_count("#6#cloudAmount")
bufr = BUFRMessage(open("./sample-data/terra-modis-aerosol.bufr"))
assert bufr.get_count("opticalDepth") == 10
assert bufr.data[0].get_count("opticalDepth") == 2
assert bufr.data[1].get_count("opticalDepth") == 8
assert bufr.data.get_count("#1#opticalDepth") == 1
assert bufr.data[0].get_count("#1#opticalDepth") == 1
assert bufr.data[1].get_count("#1#opticalDepth") == 1
with pt.raises(KeyValueNotFoundError):
bufr.data.get_count("#11#opticalDepth")
with pt.raises(KeyValueNotFoundError):
bufr.data[0].get_count("#3#opticalDepth")
with pt.raises(KeyValueNotFoundError):
bufr.data[1].get_count("#9#opticalDepth")
def test_data_is_missing():
bufr = BUFRMessage("BUFR3_local_satellite")
bufr["numberOfSubsets"] = 3
with pt.raises(KeyValueNotFoundError):
bufr.data.is_missing("edition")
assert bufr.is_missing("pressure")
assert bufr.is_missing("#1#pressure")
assert bufr.is_missing("#2#pressure")
array = bufr["pressure"]
assert np.all(array.mask)
assert array.shape[0] > 1
array[0, :] = 1013.25
assert not np.all(array.mask)
assert not bufr.is_missing("pressure")
assert not bufr.is_missing("#1#pressure")
assert bufr.is_missing("#2#pressure")
bufr.pack()
assert not bufr.is_missing("pressure")
assert not bufr.is_missing("#1#pressure")
assert bufr.is_missing("#2#pressure")
def test_data_set_missing():
bufr = BUFRMessage("BUFR3_local_satellite")
bufr["numberOfSubsets"] = 3
with pt.raises(KeyValueNotFoundError):
bufr.data.set_missing("edition")
with pt.raises(ValueCannotBeMissingError):
bufr.set_missing("pressure->units")
bufr["pressure"] = 1013.25
bufr.pack()
bufr.set_missing("pressure")
array = bufr["pressure"]
assert np.all(array.mask)
bufr["pressure"] = 1013.25
bufr.pack()
bufr.set_missing("#1#pressure")
array = bufr["pressure"]
assert np.all(array[0, :].mask)
assert not np.any(array[1:, :].mask)
bufr.set_missing("#2#pressure")
assert np.all(array[1, :].mask)
assert not np.any(array[2:, :].mask)
bufr.set_missing("pressure")
assert np.all(array.mask)
def test_data_type_of_seconds():
# With default, zero scale -> int
bufr = BUFRMessage("BUFR3_local_satellite")
bufr["numberOfSubsets"] = 3
bufr["unexpandedDescriptors"] = [4006]
assert bufr["second->scale"] == 0
assert bufr["second"].dtype == np.dtype(int)
assert bufr["second"].data[0] == CODES_MISSING_LONG
assert bufr["second"][0] is np.ma.masked
# With changed, non-zero scale -> float
bufr = BUFRMessage("BUFR3_local_satellite")
bufr["numberOfSubsets"] = 3
bufr["unexpandedDescriptors"] = [202131, 4006, 202000]
assert bufr["second->scale"] == 3
assert bufr["second"].dtype == np.dtype(float)
assert bufr["second"].data[0] == CODES_MISSING_DOUBLE
assert bufr["second"][0] is np.ma.masked
def test_data_assumed_scalar_elements():
bufr = BUFRMessage("BUFR3_local_satellite")
bufr["numberOfSubsets"] = 3
bufr["unexpandedDescriptors"] = [1007]
bufr.data["satelliteIdentifier"] = [1, 2, 3]
bytes = bufr.get_buffer()
bufr = BUFRMessage(bytes)
with change_behaviour() as behaviour:
behaviour.assumed_scalar_elements.add("satelliteIdentifier")
with pt.warns(UserWarning):
assert np.all(bufr.data["satelliteIdentifier"] == [1, 2, 3])
with change_behaviour() as behaviour:
behaviour.on_assumed_scalar_element_invalid_size = "raise"
bufr = BUFRMessage(bytes)
with pt.raises(ValueError):
assert np.all(bufr.data["satelliteIdentifier"] == [1, 2, 3])
with change_behaviour() as behaviour:
behaviour.on_assumed_scalar_element_invalid_size = "ignore"
bufr = BUFRMessage(bytes)
with warnings.catch_warnings(record=True) as ws:
assert np.all(bufr.data["satelliteIdentifier"] == [1, 2, 3])
assert not ws
with change_behaviour() as behaviour:
behaviour.assumed_scalar_elements.add("satelliteIdentifier")
# Single rank
bufr = BUFRMessage("BUFR3_local_satellite")
bufr["numberOfSubsets"] = 3
bufr["unexpandedDescriptors"] = [1007]
assert bufr.data["satelliteIdentifier"] is np.ma.masked
assert bufr.data["#1#satelliteIdentifier"] is np.ma.masked
bufr.data["satelliteIdentifier"] = 1
bufr.data["#1#satelliteIdentifier"] = 1
bufr.pack()
assert bufr.data["satelliteIdentifier"] == 1
with pt.raises(ValueError):
bufr.data["satelliteIdentifier"] = [1, 2, 3]
# Multiple ranks
bufr = BUFRMessage("BUFR3_local_satellite")
bufr["numberOfSubsets"] = 3
bufr["unexpandedDescriptors"] = [1007, 1007]
value = bufr.data["satelliteIdentifier"]
assert isinstance(value, np.ndarray)
assert value.shape == (2,)
assert value.all() is np.ma.masked
value1 = bufr.data["#1#satelliteIdentifier"]
assert value1 is np.ma.masked
bufr.data["satelliteIdentifier"] = [0, 0]
assert np.all(bufr.data["satelliteIdentifier"] == 0)
bufr.data["#1#satelliteIdentifier"] = 1
bufr.data["#2#satelliteIdentifier"] = 2
assert np.all(bufr.data["satelliteIdentifier"] == [1, 2])
def test_data_assignment_with_non_native_types():
bufr = BUFRMessage("BUFR3_local_satellite")
bufr["satelliteIdentifier"] = np.int8(0)
bufr["satelliteIdentifier"] = np.int16(0)
bufr["satelliteIdentifier"] = np.int32(0)
bufr["latitude"] = np.float32(0)
def test_data_set_string_uncompressed(): # ECC-2220
bufr = BUFRMessage("BUFR4")
bufr["unexpandedDescriptors"] = [1025]
bufr["stormIdentifier"] = "70A"
assert bufr["stormIdentifier"] == "70A"
bufr.pack()
assert bufr["stormIdentifier"] == "70A"
def test_data_set_string_compressed(): # ECC-2220
bufr = BUFRMessage("BUFR4")
bufr["compressedData"] = 1
bufr["unexpandedDescriptors"] = [1025]
bufr["stormIdentifier"] = "70A"
assert bufr["stormIdentifier"] == "70A"
bufr.pack()
assert bufr["stormIdentifier"] == "70A"