scripts/ci/testing/summarize_captured_warnings.py - airflow - Git at Google

 #!/usr/bin/env python
 # Licensed to the Apache Software Foundation (ASF) under one
 # or more contributor license agreements.  See the NOTICE file
 # distributed with this work for additional information
 # regarding copyright ownership.  The ASF licenses this file
 # to you under the Apache License, Version 2.0 (the
 # "License"); you may not use this file except in compliance
 # with the License.  You may obtain a copy of the License at
 #
 #   http://www.apache.org/licenses/LICENSE-2.0
 #
 # Unless required by applicable law or agreed to in writing,
 # software distributed under the License is distributed on an
 # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.

 from __future__ import annotations

 import argparse
 import functools
 import json
 import os
 import shutil
 from collections.abc import Callable, Iterable, Iterator
 from dataclasses import asdict, dataclass, fields
 from itertools import groupby
 from pathlib import Path
 from typing import Any
 from uuid import NAMESPACE_OID, uuid5

 if __name__ not in ("__main__", "__mp_main__"):
     raise SystemExit(
         "This file is intended to be executed as an executable program. You cannot use it as a module."
         f"To run this script, run the ./{__file__} command [FILE] ..."
     )


 REQUIRED_FIELDS = ("category", "message", "node_id", "filename", "lineno", "group", "count", "when")
 CONSOLE_SIZE = shutil.get_terminal_size((80, 20)).columns
 # Use as prefix/suffix in report output
 IMPORTANT_WARNING_SIGN = {
     "sqlalchemy.exc.RemovedIn20Warning": "!!!",
     "sqlalchemy.exc.MovedIn20Warning": "!!!",
     "sqlalchemy.exc.LegacyAPIWarning": "!!",
     "sqlalchemy.exc.SAWarning": "!!",
     "pydantic.warnings.PydanticDeprecatedSince20": "!!",
     "celery.exceptions.CPendingDeprecationWarning": "!!",
     "pytest.PytestWarning": "!!",
     "airflow.exceptions.AirflowProviderDeprecationWarning": "!",
 }
 # Always print messages for these warning categories
 ALWAYS_SHOW_WARNINGS = {
     "sqlalchemy.exc.RemovedIn20Warning",
     "sqlalchemy.exc.MovedIn20Warning",
     "sqlalchemy.exc.LegacyAPIWarning",
     "sqlalchemy.exc.SAWarning",
     "pytest.PytestWarning",
 }


 def warnings_filename(suffix: str) -> str:
     return f"warn-summary-{suffix}.txt"


 WARNINGS_ALL = warnings_filename("all")
 WARNINGS_BAD = warnings_filename("bad")


 @functools.cache
 def _unique_key(*args: str | None) -> str:
     return str(uuid5(NAMESPACE_OID, "-".join(map(str, args))))


 def sorted_groupby(it, grouping_key: Callable):
     """Helper for sort and group by."""
     for group, grouped_data in groupby(sorted(it, key=grouping_key), key=grouping_key):
         yield group, list(grouped_data)


 def count_groups(
     records: Iterable, grouping_key: Callable, *, reverse=True, top: int = 0
 ) -> Iterator[tuple[Any, int]]:
     it = sorted_groupby(records, grouping_key)
     for ix, (group, r) in enumerate(sorted(it, key=lambda k: len(k[1]), reverse=reverse), start=1):
         if top and top < ix:
             return
         yield group, len(r)


 @dataclass
 class CapturedWarnings:
     category: str
     message: str
     filename: str
     lineno: int
     when: str
     node_id: str | None

     @property
     def unique_warning(self) -> str:
         return _unique_key(self.category, self.message, self.filename, str(self.lineno))

     @property
     def unique_key(self) -> str:
         return _unique_key(self.node_id, self.category, self.message, self.filename, str(self.lineno))

     @classmethod
     def from_dict(cls, d: dict) -> CapturedWarnings:
         fields_names = [f.name for f in fields(CapturedWarnings)]
         return cls(**{k: v for k, v in d.items() if k in fields_names})

     def output(self) -> str:
         return json.dumps(asdict(self))


 def find_files(directory: Path, glob_pattern: str) -> Iterator[tuple[Path, str]]:
     print(f" Process directory {directory} with pattern {glob_pattern!r} ".center(CONSOLE_SIZE, "="))
     directory = Path(directory)
     for filepath in directory.rglob(glob_pattern):
         yield from resolve_file(filepath, directory)


 def resolve_file(filepath: Path, directory: Path | None = None) -> Iterator[tuple[Path, str]]:
     if not filepath.is_file():
         raise SystemExit("Provided path {filepath} is not a file.")
     if directory:
         source_path = filepath.relative_to(directory).as_posix()
     else:
         source_path = filepath.as_posix()
     yield filepath, source_path


 def merge_files(files: Iterator[tuple[Path, str]], output_directory: Path) -> Path:
     output_file = output_directory.joinpath(WARNINGS_ALL)
     output_bad = output_directory.joinpath(WARNINGS_BAD)

     records = bad_records = 0
     processed_files = 0
     with output_file.open(mode="w") as wfp, output_bad.open(mode="w") as badwfp:
         for filepath, source_filename in files:
             print(f"Process file: {filepath.as_posix()}")
             with open(filepath) as fp:
                 for lineno, line in enumerate(fp, start=1):
                     if not (line := line.strip()):
                         continue
                     try:
                         record = json.loads(line)
                         if not isinstance(record, dict):
                             raise TypeError
                         if not all(field in record for field in REQUIRED_FIELDS):
                             raise ValueError
                     except Exception:
                         bad_records += 1
                         dump = json.dumps({"source": source_filename, "lineno": lineno, "record": line})
                         badwfp.write(f"{dump}\n")
                     else:
                         records += 1
                         record["source"] = source_filename
                         wfp.write(f"{json.dumps(record)}\n")
                 processed_files += 1

     print()
     print(
         f" Total processed lines {records + bad_records:,} in {processed_files:,} file(s) ".center(
             CONSOLE_SIZE, "-"
         )
     )
     print(f"Good Records: {records:,}. Saved into file {output_file.as_posix()}")
     if bad_records:
         print(f"Bad Records: {bad_records:,}. Saved into file {output_file.as_posix()}")
     else:
         output_bad.unlink()
     return output_file


 def group_report_warnings(group, when: str, group_records, output_directory: Path) -> None:
     output_filepath = output_directory / warnings_filename(f"{group}-{when}")

     group_warnings: dict[str, CapturedWarnings] = {}
     unique_group_warnings: dict[str, CapturedWarnings] = {}
     for record in group_records:
         cw = CapturedWarnings.from_dict(record)
         if cw.unique_key not in group_warnings:
             group_warnings[cw.unique_key] = cw
         if cw.unique_warning not in unique_group_warnings:
             unique_group_warnings[cw.unique_warning] = cw

     print(f" Group {group!r} on {when!r} ".center(CONSOLE_SIZE, "="))
     with output_filepath.open(mode="w") as fp:
         for cw in group_warnings.values():
             fp.write(f"{cw.output()}\n")
     print(f"Saved into file: {output_filepath.as_posix()}\n")

     if when == "runtest":  # Node id exists only during runtest
         print(f"Unique warnings within the test cases: {len(group_warnings):,}\n")
         print("Top 10 Tests Cases:")
         it = count_groups(group_warnings.values(), grouping_key=lambda cw: (cw.category, cw.node_id), top=10)
         for (category, node_id), count in it:
             if suffix := IMPORTANT_WARNING_SIGN.get(category, ""):
                 suffix = f" ({suffix})"
             print(f"  {category} {node_id} - {count:,}{suffix}")
         print()

     print(f"Unique warnings: {len(unique_group_warnings):,}\n")
     print("Warnings grouped by category:")
     for category, count in count_groups(unique_group_warnings.values(), grouping_key=lambda cw: cw.category):
         if suffix := IMPORTANT_WARNING_SIGN.get(category, ""):
             suffix = f" ({suffix})"
         print(f"  {category} - {count:,}{suffix}")
     print()

     print("Top 10 Warnings:")
     it = count_groups(
         unique_group_warnings.values(), grouping_key=lambda cw: (cw.category, cw.filename, cw.lineno), top=10
     )
     for (category, filename, lineno), count in it:
         if suffix := IMPORTANT_WARNING_SIGN.get(category, ""):
             suffix = f" ({suffix})"
         print(f"  {filename}:{lineno}:{category} - {count:,}{suffix}")
     print()

     always = list(filter(lambda w: w.category in ALWAYS_SHOW_WARNINGS, unique_group_warnings.values()))
     if always:
         print(f" Always reported warnings {len(always):,}".center(CONSOLE_SIZE, "-"))
         for cw in always:
             print(f"{cw.filename}:{cw.lineno}")
             print(f"  {cw.category} - {cw.message}")
             print()


 def split_by_groups(output_file: Path, output_directory: Path) -> None:
     records: list[dict] = []
     with output_file.open() as fp:
         records.extend(map(json.loads, fp))
     for (group, when), group_records in sorted_groupby(
         records, grouping_key=lambda record: (record["group"], record["when"])
     ):
         group_report_warnings(group, when, group_records, output_directory)


 def main(_input: str, _output: str | None, pattern: str | None) -> int | str:
     cwd = Path(".").resolve()
     print(f"Current Working Directory: {cwd.as_posix()}")

     try:
         input_path = Path(os.path.expanduser(os.path.expandvars(_input))).resolve(strict=True)
     except FileNotFoundError:
         print(f"The path {_input!r} does not exist. Skipping it.")
         return 0
     except OSError as ex:
         return f"Unable to resolve {_input!r} path. {type(ex).__name__}: {ex}"

     if not pattern:
         print(f" Process file {input_path} ".center(CONSOLE_SIZE, "="))
         if not input_path.is_file():
             return f"{input_path} is not a file."
         files = resolve_file(input_path, cwd if not input_path.is_absolute() else None)
     else:
         if not input_path.is_dir():
             return f"{input_path} is not a file."
         files = find_files(input_path, pattern)

     output_directory = Path(_output or cwd).resolve()
     output_directory.mkdir(parents=True, exist_ok=True)

     output_file = merge_files(files, output_directory)
     split_by_groups(output_file, output_directory)
     return 0


 if __name__ == "__main__":
     parser = argparse.ArgumentParser(description="Capture Warnings Summarizer")
     parser.add_argument("input", help="Input file/or directory path")
     parser.add_argument("-g", "--pattern", help="Glob pattern to filter warnings files")
     parser.add_argument("-o", "--output", help="Output directory")
     args = parser.parse_args()
     raise SystemExit(main(args.input, args.output, args.pattern))
	#!/usr/bin/env python
	# Licensed to the Apache Software Foundation (ASF) under one
	# or more contributor license agreements. See the NOTICE file
	# distributed with this work for additional information
	# regarding copyright ownership. The ASF licenses this file
	# to you under the Apache License, Version 2.0 (the
	# "License"); you may not use this file except in compliance
	# with the License. You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing,
	# software distributed under the License is distributed on an
	# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
	# KIND, either express or implied. See the License for the
	# specific language governing permissions and limitations
	# under the License.

	from __future__ import annotations

	import argparse
	import functools
	import json
	import os
	import shutil
	from collections.abc import Callable, Iterable, Iterator
	from dataclasses import asdict, dataclass, fields
	from itertools import groupby
	from pathlib import Path
	from typing import Any
	from uuid import NAMESPACE_OID, uuid5

	if __name__ not in ("__main__", "__mp_main__"):
	raise SystemExit(
	"This file is intended to be executed as an executable program. You cannot use it as a module."
	f"To run this script, run the ./{__file__} command [FILE] ..."
	)


	REQUIRED_FIELDS = ("category", "message", "node_id", "filename", "lineno", "group", "count", "when")
	CONSOLE_SIZE = shutil.get_terminal_size((80, 20)).columns
	# Use as prefix/suffix in report output
	IMPORTANT_WARNING_SIGN = {
	"sqlalchemy.exc.RemovedIn20Warning": "!!!",
	"sqlalchemy.exc.MovedIn20Warning": "!!!",
	"sqlalchemy.exc.LegacyAPIWarning": "!!",
	"sqlalchemy.exc.SAWarning": "!!",
	"pydantic.warnings.PydanticDeprecatedSince20": "!!",
	"celery.exceptions.CPendingDeprecationWarning": "!!",
	"pytest.PytestWarning": "!!",
	"airflow.exceptions.AirflowProviderDeprecationWarning": "!",
	}
	# Always print messages for these warning categories
	ALWAYS_SHOW_WARNINGS = {
	"sqlalchemy.exc.RemovedIn20Warning",
	"sqlalchemy.exc.MovedIn20Warning",
	"sqlalchemy.exc.LegacyAPIWarning",
	"sqlalchemy.exc.SAWarning",
	"pytest.PytestWarning",
	}


	def warnings_filename(suffix: str) -> str:
	return f"warn-summary-{suffix}.txt"


	WARNINGS_ALL = warnings_filename("all")
	WARNINGS_BAD = warnings_filename("bad")


	@functools.cache
	def _unique_key(*args: str \| None) -> str:
	return str(uuid5(NAMESPACE_OID, "-".join(map(str, args))))


	def sorted_groupby(it, grouping_key: Callable):
	"""Helper for sort and group by."""
	for group, grouped_data in groupby(sorted(it, key=grouping_key), key=grouping_key):
	yield group, list(grouped_data)


	def count_groups(
	records: Iterable, grouping_key: Callable, *, reverse=True, top: int = 0
	) -> Iterator[tuple[Any, int]]:
	it = sorted_groupby(records, grouping_key)
	for ix, (group, r) in enumerate(sorted(it, key=lambda k: len(k[1]), reverse=reverse), start=1):
	if top and top < ix:
	return
	yield group, len(r)


	@dataclass
	class CapturedWarnings:
	category: str
	message: str
	filename: str
	lineno: int
	when: str
	node_id: str \| None

	@property
	def unique_warning(self) -> str:
	return _unique_key(self.category, self.message, self.filename, str(self.lineno))

	@property
	def unique_key(self) -> str:
	return _unique_key(self.node_id, self.category, self.message, self.filename, str(self.lineno))

	@classmethod
	def from_dict(cls, d: dict) -> CapturedWarnings:
	fields_names = [f.name for f in fields(CapturedWarnings)]
	return cls(**{k: v for k, v in d.items() if k in fields_names})

	def output(self) -> str:
	return json.dumps(asdict(self))


	def find_files(directory: Path, glob_pattern: str) -> Iterator[tuple[Path, str]]:
	print(f" Process directory {directory} with pattern {glob_pattern!r} ".center(CONSOLE_SIZE, "="))
	directory = Path(directory)
	for filepath in directory.rglob(glob_pattern):
	yield from resolve_file(filepath, directory)


	def resolve_file(filepath: Path, directory: Path \| None = None) -> Iterator[tuple[Path, str]]:
	if not filepath.is_file():
	raise SystemExit("Provided path {filepath} is not a file.")
	if directory:
	source_path = filepath.relative_to(directory).as_posix()
	else:
	source_path = filepath.as_posix()
	yield filepath, source_path


	def merge_files(files: Iterator[tuple[Path, str]], output_directory: Path) -> Path:
	output_file = output_directory.joinpath(WARNINGS_ALL)
	output_bad = output_directory.joinpath(WARNINGS_BAD)

	records = bad_records = 0
	processed_files = 0
	with output_file.open(mode="w") as wfp, output_bad.open(mode="w") as badwfp:
	for filepath, source_filename in files:
	print(f"Process file: {filepath.as_posix()}")
	with open(filepath) as fp:
	for lineno, line in enumerate(fp, start=1):
	if not (line := line.strip()):
	continue
	try:
	record = json.loads(line)
	if not isinstance(record, dict):
	raise TypeError
	if not all(field in record for field in REQUIRED_FIELDS):
	raise ValueError
	except Exception:
	bad_records += 1
	dump = json.dumps({"source": source_filename, "lineno": lineno, "record": line})
	badwfp.write(f"{dump}\n")
	else:
	records += 1
	record["source"] = source_filename
	wfp.write(f"{json.dumps(record)}\n")
	processed_files += 1

	print()
	print(
	f" Total processed lines {records + bad_records:,} in {processed_files:,} file(s) ".center(
	CONSOLE_SIZE, "-"
	)
	)
	print(f"Good Records: {records:,}. Saved into file {output_file.as_posix()}")
	if bad_records:
	print(f"Bad Records: {bad_records:,}. Saved into file {output_file.as_posix()}")
	else:
	output_bad.unlink()
	return output_file


	def group_report_warnings(group, when: str, group_records, output_directory: Path) -> None:
	output_filepath = output_directory / warnings_filename(f"{group}-{when}")

	group_warnings: dict[str, CapturedWarnings] = {}
	unique_group_warnings: dict[str, CapturedWarnings] = {}
	for record in group_records:
	cw = CapturedWarnings.from_dict(record)
	if cw.unique_key not in group_warnings:
	group_warnings[cw.unique_key] = cw
	if cw.unique_warning not in unique_group_warnings:
	unique_group_warnings[cw.unique_warning] = cw

	print(f" Group {group!r} on {when!r} ".center(CONSOLE_SIZE, "="))
	with output_filepath.open(mode="w") as fp:
	for cw in group_warnings.values():
	fp.write(f"{cw.output()}\n")
	print(f"Saved into file: {output_filepath.as_posix()}\n")

	if when == "runtest": # Node id exists only during runtest
	print(f"Unique warnings within the test cases: {len(group_warnings):,}\n")
	print("Top 10 Tests Cases:")
	it = count_groups(group_warnings.values(), grouping_key=lambda cw: (cw.category, cw.node_id), top=10)
	for (category, node_id), count in it:
	if suffix := IMPORTANT_WARNING_SIGN.get(category, ""):
	suffix = f" ({suffix})"
	print(f" {category} {node_id} - {count:,}{suffix}")
	print()

	print(f"Unique warnings: {len(unique_group_warnings):,}\n")
	print("Warnings grouped by category:")
	for category, count in count_groups(unique_group_warnings.values(), grouping_key=lambda cw: cw.category):
	if suffix := IMPORTANT_WARNING_SIGN.get(category, ""):
	suffix = f" ({suffix})"
	print(f" {category} - {count:,}{suffix}")
	print()

	print("Top 10 Warnings:")
	it = count_groups(
	unique_group_warnings.values(), grouping_key=lambda cw: (cw.category, cw.filename, cw.lineno), top=10
	)
	for (category, filename, lineno), count in it:
	if suffix := IMPORTANT_WARNING_SIGN.get(category, ""):
	suffix = f" ({suffix})"
	print(f" {filename}:{lineno}:{category} - {count:,}{suffix}")
	print()

	always = list(filter(lambda w: w.category in ALWAYS_SHOW_WARNINGS, unique_group_warnings.values()))
	if always:
	print(f" Always reported warnings {len(always):,}".center(CONSOLE_SIZE, "-"))
	for cw in always:
	print(f"{cw.filename}:{cw.lineno}")
	print(f" {cw.category} - {cw.message}")
	print()


	def split_by_groups(output_file: Path, output_directory: Path) -> None:
	records: list[dict] = []
	with output_file.open() as fp:
	records.extend(map(json.loads, fp))
	for (group, when), group_records in sorted_groupby(
	records, grouping_key=lambda record: (record["group"], record["when"])
	):
	group_report_warnings(group, when, group_records, output_directory)


	def main(_input: str, _output: str \| None, pattern: str \| None) -> int \| str:
	cwd = Path(".").resolve()
	print(f"Current Working Directory: {cwd.as_posix()}")

	try:
	input_path = Path(os.path.expanduser(os.path.expandvars(_input))).resolve(strict=True)
	except FileNotFoundError:
	print(f"The path {_input!r} does not exist. Skipping it.")
	return 0
	except OSError as ex:
	return f"Unable to resolve {_input!r} path. {type(ex).__name__}: {ex}"

	if not pattern:
	print(f" Process file {input_path} ".center(CONSOLE_SIZE, "="))
	if not input_path.is_file():
	return f"{input_path} is not a file."
	files = resolve_file(input_path, cwd if not input_path.is_absolute() else None)
	else:
	if not input_path.is_dir():
	return f"{input_path} is not a file."
	files = find_files(input_path, pattern)

	output_directory = Path(_output or cwd).resolve()
	output_directory.mkdir(parents=True, exist_ok=True)

	output_file = merge_files(files, output_directory)
	split_by_groups(output_file, output_directory)
	return 0


	if __name__ == "__main__":
	parser = argparse.ArgumentParser(description="Capture Warnings Summarizer")
	parser.add_argument("input", help="Input file/or directory path")
	parser.add_argument("-g", "--pattern", help="Glob pattern to filter warnings files")
	parser.add_argument("-o", "--output", help="Output directory")
	args = parser.parse_args()
	raise SystemExit(main(args.input, args.output, args.pattern))