Coverage for src/CSET/operators/__init__.py: 100%
89 statements
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1# © Crown copyright, Met Office (2022-2026) and CSET contributors.
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
15"""Subpackage contains all of CSET's operators."""
17import inspect
18import json
19import logging
20import os
21import zipfile
22from pathlib import Path
24from iris import FUTURE
26# Import operators here so they are exported for use by recipes.
27import CSET.operators
28from CSET.operators import (
29 ageofair,
30 aggregate,
31 aviation,
32 collapse,
33 constraints,
34 convection,
35 ensembles,
36 filters,
37 humidity,
38 imageprocessing,
39 mesoscale,
40 misc,
41 plot,
42 precipitation,
43 pressure,
44 read,
45 regrid,
46 scoreswrappers,
47 temperature,
48 transect,
49 wind,
50 write,
51)
53# Exported operators & functions to use elsewhere.
54__all__ = [
55 "ageofair",
56 "aggregate",
57 "aviation",
58 "collapse",
59 "constraints",
60 "convection",
61 "ensembles",
62 "execute_recipe",
63 "filters",
64 "humidity",
65 "get_operator",
66 "imageprocessing",
67 "mesoscale",
68 "misc",
69 "plot",
70 "precipitation",
71 "pressure",
72 "read",
73 "regrid",
74 "temperature",
75 "scoreswrappers",
76 "transect",
77 "wind",
78 "write",
79]
81# Stop iris giving a warning whenever it loads something.
82FUTURE.datum_support = True
83# Stop iris giving a warning whenever it saves something.
84FUTURE.save_split_attrs = True
85# Accept microsecond precision in iris times.
86FUTURE.date_microseconds = True
89def get_operator(name: str):
90 """Get an operator by its name.
92 Parameters
93 ----------
94 name: str
95 The name of the desired operator.
97 Returns
98 -------
99 function
100 The named operator.
102 Raises
103 ------
104 ValueError
105 If name is not an operator.
107 Examples
108 --------
109 >>> CSET.operators.get_operator("read.read_cubes")
110 <function read_cubes at 0x7fcf9353c8b0>
111 """
112 logging.debug("get_operator(%s)", name)
113 try:
114 name_sections = name.split(".")
115 operator = CSET.operators
116 for section in name_sections:
117 operator = getattr(operator, section)
118 if callable(operator):
119 return operator
120 else:
121 raise AttributeError
122 except (AttributeError, TypeError) as err:
123 raise ValueError(f"Unknown operator: {name}") from err
126def _write_metadata(recipe: dict):
127 """Write a meta.json file in the CWD."""
128 metadata = recipe.copy()
129 # Remove steps, as not needed, and might contain non-serialisable types.
130 metadata.pop("steps", None)
131 # To remove long variable names with suffix
132 if "title" in metadata:
133 metadata["title"] = metadata["title"].replace("_for_climate_averaging", "")
134 metadata["title"] = metadata["title"].replace("_radiative_timestep", "")
135 metadata["title"] = metadata["title"].replace("_maximum_random_overlap", "")
136 with open("meta.json", "wt", encoding="UTF-8") as fp:
137 json.dump(metadata, fp, indent=2)
140def _step_parser(step: dict, step_input: any) -> str:
141 """Execute a recipe step, recursively executing any sub-steps."""
142 logging.debug("Executing step: %s", step)
143 kwargs = {}
144 for key in step.keys():
145 if key == "operator":
146 operator = get_operator(step["operator"])
147 logging.info("operator: %s", step["operator"])
148 elif isinstance(step[key], dict) and "operator" in step[key]:
149 logging.debug("Recursing into argument: %s", key)
150 kwargs[key] = _step_parser(step[key], step_input)
151 else:
152 kwargs[key] = step[key]
153 logging.debug("args: %s", kwargs)
154 logging.debug("step_input: %s", step_input)
155 # If first argument of operator is explicitly defined, use that rather
156 # than step_input. This is known through introspection of the operator.
157 first_arg = next(iter(inspect.signature(operator).parameters.keys()))
158 logging.debug("first_arg: %s", first_arg)
159 if first_arg not in kwargs:
160 logging.debug("first_arg not in kwargs, using step_input.")
161 return operator(step_input, **kwargs)
162 else:
163 logging.debug("first_arg in kwargs.")
164 return operator(**kwargs)
167def create_diagnostic_archive():
168 """Create archive for easy download of plots and data."""
169 output_directory: Path = Path.cwd()
170 archive_path = output_directory / "diagnostic.zip"
171 with zipfile.ZipFile(
172 archive_path, "w", compression=zipfile.ZIP_DEFLATED
173 ) as archive:
174 for file in output_directory.rglob("*"):
175 # Check the archive doesn't add itself.
176 if not file.samefile(archive_path):
177 archive.write(file, arcname=file.relative_to(output_directory))
180def execute_recipe(
181 recipe: dict,
182 output_directory: Path,
183 style_file: Path = None,
184 plot_resolution: int = None,
185 skip_write: bool = None,
186) -> None:
187 """Parse and executes the steps from a recipe file.
189 Parameters
190 ----------
191 recipe: dict
192 Parsed recipe.
193 output_directory: Path
194 Pathlike indicating desired location of output.
195 style_file: Path, optional
196 Path to a style file.
197 plot_resolution: int, optional
198 Resolution of plots in dpi.
199 skip_write: bool, optional
200 Skip saving processed output alongside plots.
202 Raises
203 ------
204 FileNotFoundError
205 The recipe or input file cannot be found.
206 FileExistsError
207 The output directory as actually a file.
208 ValueError
209 The recipe is not well formed.
210 TypeError
211 The provided recipe is not a stream or Path.
212 """
213 # Create output directory.
214 try:
215 output_directory.mkdir(parents=True, exist_ok=True)
216 except (FileExistsError, NotADirectoryError) as err:
217 logging.error("Output directory is a file. %s", output_directory)
218 raise err
219 steps = recipe["steps"]
221 # Execute the steps in a recipe.
222 original_working_directory = Path.cwd()
223 try:
224 os.chdir(output_directory)
225 logger = logging.getLogger(__name__)
226 diagnostic_log = logging.FileHandler(
227 filename="CSET.log", mode="w", encoding="UTF-8"
228 )
229 diagnostic_log.setFormatter(
230 logging.Formatter("%(asctime)s %(name)s %(levelname)s %(message)s")
231 )
232 logger.addHandler(diagnostic_log)
233 # Create metadata file used by some steps.
234 if style_file:
235 recipe["style_file_path"] = str(style_file)
236 if plot_resolution:
237 recipe["plot_resolution"] = plot_resolution
238 if skip_write:
239 recipe["skip_write"] = skip_write
240 _write_metadata(recipe)
242 # Execute the recipe.
243 step_input = None
244 for step in steps:
245 step_input = _step_parser(step, step_input)
246 logger.info("Recipe output:\n%s", step_input)
248 logger.info("Creating diagnostic archive.")
249 create_diagnostic_archive()
250 finally:
251 os.chdir(original_working_directory)