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 feature,
37 filters,
38 fluxes,
39 humidity,
40 imageprocessing,
41 mesoscale,
42 misc,
43 plot,
44 power_spectrum,
45 precipitation,
46 pressure,
47 read,
48 regrid,
49 scoreswrappers,
50 temperature,
51 transect,
52 wind,
53 write,
54)
56# Exported operators & functions to use elsewhere.
57__all__ = [
58 "ageofair",
59 "aggregate",
60 "aviation",
61 "collapse",
62 "constraints",
63 "convection",
64 "ensembles",
65 "execute_recipe",
66 "feature",
67 "filters",
68 "fluxes",
69 "get_operator",
70 "humidity",
71 "imageprocessing",
72 "mesoscale",
73 "misc",
74 "plot",
75 "power_spectrum",
76 "precipitation",
77 "pressure",
78 "read",
79 "regrid",
80 "scoreswrappers",
81 "temperature",
82 "transect",
83 "wind",
84 "write",
85]
87logger = logging.getLogger(__name__)
89# Stop iris giving a warning whenever it loads something.
90FUTURE.datum_support = True
91# Stop iris giving a warning whenever it saves something.
92FUTURE.save_split_attrs = True
93# Accept microsecond precision in iris times.
94FUTURE.date_microseconds = True
97def get_operator(name: str):
98 """Get an operator by its name.
100 Parameters
101 ----------
102 name: str
103 The name of the desired operator.
105 Returns
106 -------
107 function
108 The named operator.
110 Raises
111 ------
112 ValueError
113 If name is not an operator.
115 Examples
116 --------
117 >>> CSET.operators.get_operator("read.read_cubes")
118 <function read_cubes at 0x7fcf9353c8b0>
119 """
120 logger.debug("get_operator(%s)", name)
121 try:
122 name_sections = name.split(".")
123 operator = CSET.operators
124 for section in name_sections:
125 operator = getattr(operator, section)
127 if callable(operator):
128 return operator
129 else:
130 raise TypeError
131 except (AttributeError, TypeError) as err:
132 raise ValueError(f"Unknown operator: {name}") from err
135def _write_metadata(recipe: dict):
136 """Write a meta.json file in the CWD."""
137 metadata = recipe.copy()
138 # Remove steps, as not needed, and might contain non-serialisable types.
139 metadata.pop("steps", None)
140 # To remove long variable names with suffix
141 if "title" in metadata:
142 metadata["title"] = metadata["title"].replace("_for_climate_averaging", "")
143 metadata["title"] = metadata["title"].replace("_radiative_timestep", "")
144 metadata["title"] = metadata["title"].replace("_maximum_random_overlap", "")
145 with open("meta.json", "wt", encoding="UTF-8") as fp:
146 json.dump(metadata, fp, indent=2)
149def _step_parser(step: dict, step_input: any) -> str:
150 """Execute a recipe step, recursively executing any sub-steps."""
151 logger.debug("Executing step: %s", step)
152 kwargs = {}
153 for key, value in step.items():
154 if key == "operator":
155 operator = get_operator(value)
156 logger.info("operator: %s", value)
157 elif isinstance(value, dict) and "operator" in value:
158 logger.debug("Recursing into argument: %s", key)
159 kwargs[key] = _step_parser(value, step_input)
160 else:
161 kwargs[key] = value
162 logger.debug("args: %s", kwargs)
163 logger.debug("step_input: %s", step_input)
164 # If first argument of operator is explicitly defined, use that rather
165 # than step_input. This is known through introspection of the operator.
166 first_arg = next(iter(inspect.signature(operator).parameters.keys()))
167 logger.debug("first_arg: %s", first_arg)
168 if first_arg not in kwargs:
169 logger.debug("first_arg not in kwargs, using step_input.")
170 return operator(step_input, **kwargs)
171 else:
172 logger.debug("first_arg in kwargs.")
173 return operator(**kwargs)
176def create_diagnostic_archive():
177 """Create archive for easy download of plots and data."""
178 output_directory: Path = Path.cwd()
179 archive_path = output_directory / "diagnostic.zip"
180 with zipfile.ZipFile(
181 archive_path, "w", compression=zipfile.ZIP_DEFLATED
182 ) as archive:
183 for file in output_directory.rglob("*"):
184 # Check the archive doesn't add itself.
185 if not file.samefile(archive_path):
186 archive.write(file, arcname=file.relative_to(output_directory))
189def execute_recipe(
190 recipe: dict,
191 output_directory: Path,
192 style_file: Path | None = None,
193 plot_resolution: int | None = None,
194 skip_write: bool | None = None,
195) -> None:
196 """Parse and executes the steps from a recipe file.
198 Parameters
199 ----------
200 recipe: dict
201 Parsed recipe.
202 output_directory: Path
203 Pathlike indicating desired location of output.
204 style_file: Path, optional
205 Path to a style file.
206 plot_resolution: int, optional
207 Resolution of plots in dpi.
208 skip_write: bool, optional
209 Skip saving processed output alongside plots.
211 Raises
212 ------
213 FileNotFoundError
214 The recipe or input file cannot be found.
215 FileExistsError
216 The output directory as actually a file.
217 ValueError
218 The recipe is not well formed.
219 TypeError
220 The provided recipe is not a stream or Path.
221 """
222 # Create output directory.
223 try:
224 output_directory.mkdir(parents=True, exist_ok=True)
225 except (FileExistsError, NotADirectoryError):
226 logger.error("Output directory is a file. %s", output_directory)
227 raise
228 steps = recipe["steps"]
230 # Execute the steps in a recipe.
231 original_working_directory = Path.cwd()
232 try:
233 os.chdir(output_directory)
234 diagnostic_log = logging.FileHandler(
235 filename="CSET.log", mode="w", encoding="UTF-8"
236 )
237 diagnostic_log.setFormatter(
238 logging.Formatter("%(asctime)s %(name)s %(levelname)s %(message)s")
239 )
240 logger.addHandler(diagnostic_log)
241 # Create metadata file used by some steps.
242 if style_file:
243 recipe["style_file_path"] = str(style_file)
244 if plot_resolution:
245 recipe["plot_resolution"] = plot_resolution
246 if skip_write:
247 recipe["skip_write"] = skip_write
248 _write_metadata(recipe)
250 # Execute the recipe.
251 step_input = None
252 for step in steps:
253 step_input = _step_parser(step, step_input)
254 logger.info("Recipe output:\n%s", step_input)
256 logger.info("Creating diagnostic archive.")
257 create_diagnostic_archive()
258 finally:
259 os.chdir(original_working_directory)