2025-01-24 14:27:57 +01:00
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# SPDX-FileCopyrightText: 2024-2025 Espressif Systems (Shanghai) CO LTD
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feat(tools): add idf.py diag reporting tool
The initial implementation of a diagnostic tool that collects valuable
information about esp-idf and failed build to assist in investigating
reported issues.
The gathered information includes environmental variables, details about
the python virtual environment, installed tools, platform information,
project_description.json, sdkconfig, build logs, map file, linker
scripts, and others.
usage:
1) create the default report
# allow diag to create the report directory name
$ idf.py diag
# explicitly specify the report directory
$ idf.py diag --output <report directory>
2) examine the contents of the generated <report directory> for
sensitive information and add additional content to the
<report directory>
3) create report archive zip file that can be shared or attached to
the reported issue
$ idf.py diag --zip <report directory>
The tool collects information as described in what are known as recipe
files. A recipe file is a YAML file, similar to an Ansible playbook or a
GitHub action, but much more simplified. Each recipe outlines how to
gather a set of related information. For instance, the manager.yml
recipe gathers data related to the component manager. Each recipe
includes metadata such as its description, tags, and steps. Tags are
used to determine which recipes to use; by default, all built-in recipes
located in tools/idf_py_actions/diag/recipes are used. Steps consist of
a list of commands to be executed. Currently, there are four commands:
file, exec, env, and glob. For more detailed information about recipes,
their format, and commands, please refer to
tools/idf_py_actions/diag/recipes/README.md.
Recipe example for component manager:
description: IDF Component Manager information
tags: [manager, base, project]
output: manager
steps:
- name: 'IDF Component Manager'
cmds:
- exec:
cmd: 'python -m idf_component_manager version'
output: manager.ver
- file:
path: '${PROJECT_DIR}/dependencies.lock'
- glob:
# Gather all idf_component.yml files from the project directory and
# save them in directories relative to the project directory within
# the idf_component directory.
pattern: 'idf_component.yml'
recursive: true
relative: true
path: '${PROJECT_DIR}'
output: 'idf_component/'
Create report for manager
1) all recipes with manager tag
$ idf.py diag --tag manager
2) use only the manager recipe explicitly; built-in recipes can be
referenced simply by their name, but all recipes can be referenced
by their path
$ idf.py diag --recipe manager
or
$ idf.py diag --recipe <full path>
To display available recipes, use
$ idf.py diag --list
and to verify recipes, use
$ idf.py diag --check
Both --list and --check honers the --tag and --recipe options.
Signed-off-by: Frantisek Hrbata <frantisek.hrbata@espressif.com>
2024-11-07 08:59:32 +01:00
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# SPDX-License-Identifier: Apache-2.0
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import sys
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import uuid
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from typing import Any
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from typing import Dict
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from typing import Optional
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from typing import Tuple
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import click
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from idf_py_actions.tools import PropertyDict
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2025-02-10 16:50:41 +01:00
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from idf_py_actions.tools import RunTool
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feat(tools): add idf.py diag reporting tool
The initial implementation of a diagnostic tool that collects valuable
information about esp-idf and failed build to assist in investigating
reported issues.
The gathered information includes environmental variables, details about
the python virtual environment, installed tools, platform information,
project_description.json, sdkconfig, build logs, map file, linker
scripts, and others.
usage:
1) create the default report
# allow diag to create the report directory name
$ idf.py diag
# explicitly specify the report directory
$ idf.py diag --output <report directory>
2) examine the contents of the generated <report directory> for
sensitive information and add additional content to the
<report directory>
3) create report archive zip file that can be shared or attached to
the reported issue
$ idf.py diag --zip <report directory>
The tool collects information as described in what are known as recipe
files. A recipe file is a YAML file, similar to an Ansible playbook or a
GitHub action, but much more simplified. Each recipe outlines how to
gather a set of related information. For instance, the manager.yml
recipe gathers data related to the component manager. Each recipe
includes metadata such as its description, tags, and steps. Tags are
used to determine which recipes to use; by default, all built-in recipes
located in tools/idf_py_actions/diag/recipes are used. Steps consist of
a list of commands to be executed. Currently, there are four commands:
file, exec, env, and glob. For more detailed information about recipes,
their format, and commands, please refer to
tools/idf_py_actions/diag/recipes/README.md.
Recipe example for component manager:
description: IDF Component Manager information
tags: [manager, base, project]
output: manager
steps:
- name: 'IDF Component Manager'
cmds:
- exec:
cmd: 'python -m idf_component_manager version'
output: manager.ver
- file:
path: '${PROJECT_DIR}/dependencies.lock'
- glob:
# Gather all idf_component.yml files from the project directory and
# save them in directories relative to the project directory within
# the idf_component directory.
pattern: 'idf_component.yml'
recursive: true
relative: true
path: '${PROJECT_DIR}'
output: 'idf_component/'
Create report for manager
1) all recipes with manager tag
$ idf.py diag --tag manager
2) use only the manager recipe explicitly; built-in recipes can be
referenced simply by their name, but all recipes can be referenced
by their path
$ idf.py diag --recipe manager
or
$ idf.py diag --recipe <full path>
To display available recipes, use
$ idf.py diag --list
and to verify recipes, use
$ idf.py diag --check
Both --list and --check honers the --tag and --recipe options.
Signed-off-by: Frantisek Hrbata <frantisek.hrbata@espressif.com>
2024-11-07 08:59:32 +01:00
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from idf_py_actions.tools import yellow_print
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2025-02-10 16:50:41 +01:00
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def diag(action: str,
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ctx: click.core.Context,
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args: PropertyDict,
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debug: bool,
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log_prefix: bool,
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force: bool,
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no_color: bool,
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zip_directory: Optional[str],
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list_recipes: bool,
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check_recipes: bool,
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cmdl_recipes: Tuple,
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cmdl_tags: Tuple,
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purge_file: Optional[str],
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append: bool,
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output: Optional[str]) -> None:
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diag_args: list = [sys.executable, '-m', 'esp_idf_diag']
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def add_common_arguments(diag_args: list) -> None:
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# Common arguments for all esp-idf-diag commands
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diag_args += ['--no-hints']
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if debug:
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diag_args += ['--debug']
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if log_prefix:
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diag_args += ['--log-prefix']
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if no_color:
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diag_args += ['--no-color']
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2025-01-28 09:12:24 +01:00
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else:
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2025-02-10 16:50:41 +01:00
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diag_args += ['--force-terminal']
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feat(tools): add idf.py diag reporting tool
The initial implementation of a diagnostic tool that collects valuable
information about esp-idf and failed build to assist in investigating
reported issues.
The gathered information includes environmental variables, details about
the python virtual environment, installed tools, platform information,
project_description.json, sdkconfig, build logs, map file, linker
scripts, and others.
usage:
1) create the default report
# allow diag to create the report directory name
$ idf.py diag
# explicitly specify the report directory
$ idf.py diag --output <report directory>
2) examine the contents of the generated <report directory> for
sensitive information and add additional content to the
<report directory>
3) create report archive zip file that can be shared or attached to
the reported issue
$ idf.py diag --zip <report directory>
The tool collects information as described in what are known as recipe
files. A recipe file is a YAML file, similar to an Ansible playbook or a
GitHub action, but much more simplified. Each recipe outlines how to
gather a set of related information. For instance, the manager.yml
recipe gathers data related to the component manager. Each recipe
includes metadata such as its description, tags, and steps. Tags are
used to determine which recipes to use; by default, all built-in recipes
located in tools/idf_py_actions/diag/recipes are used. Steps consist of
a list of commands to be executed. Currently, there are four commands:
file, exec, env, and glob. For more detailed information about recipes,
their format, and commands, please refer to
tools/idf_py_actions/diag/recipes/README.md.
Recipe example for component manager:
description: IDF Component Manager information
tags: [manager, base, project]
output: manager
steps:
- name: 'IDF Component Manager'
cmds:
- exec:
cmd: 'python -m idf_component_manager version'
output: manager.ver
- file:
path: '${PROJECT_DIR}/dependencies.lock'
- glob:
# Gather all idf_component.yml files from the project directory and
# save them in directories relative to the project directory within
# the idf_component directory.
pattern: 'idf_component.yml'
recursive: true
relative: true
path: '${PROJECT_DIR}'
output: 'idf_component/'
Create report for manager
1) all recipes with manager tag
$ idf.py diag --tag manager
2) use only the manager recipe explicitly; built-in recipes can be
referenced simply by their name, but all recipes can be referenced
by their path
$ idf.py diag --recipe manager
or
$ idf.py diag --recipe <full path>
To display available recipes, use
$ idf.py diag --list
and to verify recipes, use
$ idf.py diag --check
Both --list and --check honers the --tag and --recipe options.
Signed-off-by: Frantisek Hrbata <frantisek.hrbata@espressif.com>
2024-11-07 08:59:32 +01:00
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2025-02-10 16:50:41 +01:00
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def add_recipe_arguments(diag_args: list) -> None:
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# Recipe related arguments for create, list and check esp-idf-diag commands
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diag_args += ['--project-dir', args.project_dir]
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diag_args += ['--build-dir', args.build_dir]
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feat(tools): add idf.py diag reporting tool
The initial implementation of a diagnostic tool that collects valuable
information about esp-idf and failed build to assist in investigating
reported issues.
The gathered information includes environmental variables, details about
the python virtual environment, installed tools, platform information,
project_description.json, sdkconfig, build logs, map file, linker
scripts, and others.
usage:
1) create the default report
# allow diag to create the report directory name
$ idf.py diag
# explicitly specify the report directory
$ idf.py diag --output <report directory>
2) examine the contents of the generated <report directory> for
sensitive information and add additional content to the
<report directory>
3) create report archive zip file that can be shared or attached to
the reported issue
$ idf.py diag --zip <report directory>
The tool collects information as described in what are known as recipe
files. A recipe file is a YAML file, similar to an Ansible playbook or a
GitHub action, but much more simplified. Each recipe outlines how to
gather a set of related information. For instance, the manager.yml
recipe gathers data related to the component manager. Each recipe
includes metadata such as its description, tags, and steps. Tags are
used to determine which recipes to use; by default, all built-in recipes
located in tools/idf_py_actions/diag/recipes are used. Steps consist of
a list of commands to be executed. Currently, there are four commands:
file, exec, env, and glob. For more detailed information about recipes,
their format, and commands, please refer to
tools/idf_py_actions/diag/recipes/README.md.
Recipe example for component manager:
description: IDF Component Manager information
tags: [manager, base, project]
output: manager
steps:
- name: 'IDF Component Manager'
cmds:
- exec:
cmd: 'python -m idf_component_manager version'
output: manager.ver
- file:
path: '${PROJECT_DIR}/dependencies.lock'
- glob:
# Gather all idf_component.yml files from the project directory and
# save them in directories relative to the project directory within
# the idf_component directory.
pattern: 'idf_component.yml'
recursive: true
relative: true
path: '${PROJECT_DIR}'
output: 'idf_component/'
Create report for manager
1) all recipes with manager tag
$ idf.py diag --tag manager
2) use only the manager recipe explicitly; built-in recipes can be
referenced simply by their name, but all recipes can be referenced
by their path
$ idf.py diag --recipe manager
or
$ idf.py diag --recipe <full path>
To display available recipes, use
$ idf.py diag --list
and to verify recipes, use
$ idf.py diag --check
Both --list and --check honers the --tag and --recipe options.
Signed-off-by: Frantisek Hrbata <frantisek.hrbata@espressif.com>
2024-11-07 08:59:32 +01:00
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2025-02-10 16:50:41 +01:00
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for recipe in cmdl_recipes:
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diag_args += ['--recipe', recipe]
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feat(tools): add idf.py diag reporting tool
The initial implementation of a diagnostic tool that collects valuable
information about esp-idf and failed build to assist in investigating
reported issues.
The gathered information includes environmental variables, details about
the python virtual environment, installed tools, platform information,
project_description.json, sdkconfig, build logs, map file, linker
scripts, and others.
usage:
1) create the default report
# allow diag to create the report directory name
$ idf.py diag
# explicitly specify the report directory
$ idf.py diag --output <report directory>
2) examine the contents of the generated <report directory> for
sensitive information and add additional content to the
<report directory>
3) create report archive zip file that can be shared or attached to
the reported issue
$ idf.py diag --zip <report directory>
The tool collects information as described in what are known as recipe
files. A recipe file is a YAML file, similar to an Ansible playbook or a
GitHub action, but much more simplified. Each recipe outlines how to
gather a set of related information. For instance, the manager.yml
recipe gathers data related to the component manager. Each recipe
includes metadata such as its description, tags, and steps. Tags are
used to determine which recipes to use; by default, all built-in recipes
located in tools/idf_py_actions/diag/recipes are used. Steps consist of
a list of commands to be executed. Currently, there are four commands:
file, exec, env, and glob. For more detailed information about recipes,
their format, and commands, please refer to
tools/idf_py_actions/diag/recipes/README.md.
Recipe example for component manager:
description: IDF Component Manager information
tags: [manager, base, project]
output: manager
steps:
- name: 'IDF Component Manager'
cmds:
- exec:
cmd: 'python -m idf_component_manager version'
output: manager.ver
- file:
path: '${PROJECT_DIR}/dependencies.lock'
- glob:
# Gather all idf_component.yml files from the project directory and
# save them in directories relative to the project directory within
# the idf_component directory.
pattern: 'idf_component.yml'
recursive: true
relative: true
path: '${PROJECT_DIR}'
output: 'idf_component/'
Create report for manager
1) all recipes with manager tag
$ idf.py diag --tag manager
2) use only the manager recipe explicitly; built-in recipes can be
referenced simply by their name, but all recipes can be referenced
by their path
$ idf.py diag --recipe manager
or
$ idf.py diag --recipe <full path>
To display available recipes, use
$ idf.py diag --list
and to verify recipes, use
$ idf.py diag --check
Both --list and --check honers the --tag and --recipe options.
Signed-off-by: Frantisek Hrbata <frantisek.hrbata@espressif.com>
2024-11-07 08:59:32 +01:00
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2025-02-10 16:50:41 +01:00
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for tag in cmdl_tags:
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diag_args += ['--tag', tag]
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feat(tools): add idf.py diag reporting tool
The initial implementation of a diagnostic tool that collects valuable
information about esp-idf and failed build to assist in investigating
reported issues.
The gathered information includes environmental variables, details about
the python virtual environment, installed tools, platform information,
project_description.json, sdkconfig, build logs, map file, linker
scripts, and others.
usage:
1) create the default report
# allow diag to create the report directory name
$ idf.py diag
# explicitly specify the report directory
$ idf.py diag --output <report directory>
2) examine the contents of the generated <report directory> for
sensitive information and add additional content to the
<report directory>
3) create report archive zip file that can be shared or attached to
the reported issue
$ idf.py diag --zip <report directory>
The tool collects information as described in what are known as recipe
files. A recipe file is a YAML file, similar to an Ansible playbook or a
GitHub action, but much more simplified. Each recipe outlines how to
gather a set of related information. For instance, the manager.yml
recipe gathers data related to the component manager. Each recipe
includes metadata such as its description, tags, and steps. Tags are
used to determine which recipes to use; by default, all built-in recipes
located in tools/idf_py_actions/diag/recipes are used. Steps consist of
a list of commands to be executed. Currently, there are four commands:
file, exec, env, and glob. For more detailed information about recipes,
their format, and commands, please refer to
tools/idf_py_actions/diag/recipes/README.md.
Recipe example for component manager:
description: IDF Component Manager information
tags: [manager, base, project]
output: manager
steps:
- name: 'IDF Component Manager'
cmds:
- exec:
cmd: 'python -m idf_component_manager version'
output: manager.ver
- file:
path: '${PROJECT_DIR}/dependencies.lock'
- glob:
# Gather all idf_component.yml files from the project directory and
# save them in directories relative to the project directory within
# the idf_component directory.
pattern: 'idf_component.yml'
recursive: true
relative: true
path: '${PROJECT_DIR}'
output: 'idf_component/'
Create report for manager
1) all recipes with manager tag
$ idf.py diag --tag manager
2) use only the manager recipe explicitly; built-in recipes can be
referenced simply by their name, but all recipes can be referenced
by their path
$ idf.py diag --recipe manager
or
$ idf.py diag --recipe <full path>
To display available recipes, use
$ idf.py diag --list
and to verify recipes, use
$ idf.py diag --check
Both --list and --check honers the --tag and --recipe options.
Signed-off-by: Frantisek Hrbata <frantisek.hrbata@espressif.com>
2024-11-07 08:59:32 +01:00
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if append:
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2025-02-10 16:50:41 +01:00
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diag_args += ['--append']
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feat(tools): add idf.py diag reporting tool
The initial implementation of a diagnostic tool that collects valuable
information about esp-idf and failed build to assist in investigating
reported issues.
The gathered information includes environmental variables, details about
the python virtual environment, installed tools, platform information,
project_description.json, sdkconfig, build logs, map file, linker
scripts, and others.
usage:
1) create the default report
# allow diag to create the report directory name
$ idf.py diag
# explicitly specify the report directory
$ idf.py diag --output <report directory>
2) examine the contents of the generated <report directory> for
sensitive information and add additional content to the
<report directory>
3) create report archive zip file that can be shared or attached to
the reported issue
$ idf.py diag --zip <report directory>
The tool collects information as described in what are known as recipe
files. A recipe file is a YAML file, similar to an Ansible playbook or a
GitHub action, but much more simplified. Each recipe outlines how to
gather a set of related information. For instance, the manager.yml
recipe gathers data related to the component manager. Each recipe
includes metadata such as its description, tags, and steps. Tags are
used to determine which recipes to use; by default, all built-in recipes
located in tools/idf_py_actions/diag/recipes are used. Steps consist of
a list of commands to be executed. Currently, there are four commands:
file, exec, env, and glob. For more detailed information about recipes,
their format, and commands, please refer to
tools/idf_py_actions/diag/recipes/README.md.
Recipe example for component manager:
description: IDF Component Manager information
tags: [manager, base, project]
output: manager
steps:
- name: 'IDF Component Manager'
cmds:
- exec:
cmd: 'python -m idf_component_manager version'
output: manager.ver
- file:
path: '${PROJECT_DIR}/dependencies.lock'
- glob:
# Gather all idf_component.yml files from the project directory and
# save them in directories relative to the project directory within
# the idf_component directory.
pattern: 'idf_component.yml'
recursive: true
relative: true
path: '${PROJECT_DIR}'
output: 'idf_component/'
Create report for manager
1) all recipes with manager tag
$ idf.py diag --tag manager
2) use only the manager recipe explicitly; built-in recipes can be
referenced simply by their name, but all recipes can be referenced
by their path
$ idf.py diag --recipe manager
or
$ idf.py diag --recipe <full path>
To display available recipes, use
$ idf.py diag --list
and to verify recipes, use
$ idf.py diag --check
Both --list and --check honers the --tag and --recipe options.
Signed-off-by: Frantisek Hrbata <frantisek.hrbata@espressif.com>
2024-11-07 08:59:32 +01:00
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if zip_directory:
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2025-02-10 16:50:41 +01:00
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# zip command
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command = 'zip'
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diag_args += [command]
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add_common_arguments(diag_args)
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if output:
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diag_args += ['--output', output]
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if force:
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diag_args += ['--force']
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diag_args += [zip_directory]
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elif list_recipes:
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# list command
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command = 'list'
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diag_args += [command]
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add_common_arguments(diag_args)
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add_recipe_arguments(diag_args)
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elif check_recipes:
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# check command
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command = 'check'
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diag_args += [command]
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add_common_arguments(diag_args)
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add_recipe_arguments(diag_args)
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feat(tools): add idf.py diag reporting tool
The initial implementation of a diagnostic tool that collects valuable
information about esp-idf and failed build to assist in investigating
reported issues.
The gathered information includes environmental variables, details about
the python virtual environment, installed tools, platform information,
project_description.json, sdkconfig, build logs, map file, linker
scripts, and others.
usage:
1) create the default report
# allow diag to create the report directory name
$ idf.py diag
# explicitly specify the report directory
$ idf.py diag --output <report directory>
2) examine the contents of the generated <report directory> for
sensitive information and add additional content to the
<report directory>
3) create report archive zip file that can be shared or attached to
the reported issue
$ idf.py diag --zip <report directory>
The tool collects information as described in what are known as recipe
files. A recipe file is a YAML file, similar to an Ansible playbook or a
GitHub action, but much more simplified. Each recipe outlines how to
gather a set of related information. For instance, the manager.yml
recipe gathers data related to the component manager. Each recipe
includes metadata such as its description, tags, and steps. Tags are
used to determine which recipes to use; by default, all built-in recipes
located in tools/idf_py_actions/diag/recipes are used. Steps consist of
a list of commands to be executed. Currently, there are four commands:
file, exec, env, and glob. For more detailed information about recipes,
their format, and commands, please refer to
tools/idf_py_actions/diag/recipes/README.md.
Recipe example for component manager:
description: IDF Component Manager information
tags: [manager, base, project]
output: manager
steps:
- name: 'IDF Component Manager'
cmds:
- exec:
cmd: 'python -m idf_component_manager version'
output: manager.ver
- file:
path: '${PROJECT_DIR}/dependencies.lock'
- glob:
# Gather all idf_component.yml files from the project directory and
# save them in directories relative to the project directory within
# the idf_component directory.
pattern: 'idf_component.yml'
recursive: true
relative: true
path: '${PROJECT_DIR}'
output: 'idf_component/'
Create report for manager
1) all recipes with manager tag
$ idf.py diag --tag manager
2) use only the manager recipe explicitly; built-in recipes can be
referenced simply by their name, but all recipes can be referenced
by their path
$ idf.py diag --recipe manager
or
$ idf.py diag --recipe <full path>
To display available recipes, use
$ idf.py diag --list
and to verify recipes, use
$ idf.py diag --check
Both --list and --check honers the --tag and --recipe options.
Signed-off-by: Frantisek Hrbata <frantisek.hrbata@espressif.com>
2024-11-07 08:59:32 +01:00
|
|
|
|
|
|
|
else:
|
2025-02-10 16:50:41 +01:00
|
|
|
# create command
|
|
|
|
command = 'create'
|
|
|
|
diag_args += [command]
|
|
|
|
add_common_arguments(diag_args)
|
|
|
|
add_recipe_arguments(diag_args)
|
2025-01-28 09:12:24 +01:00
|
|
|
|
2025-02-10 16:50:41 +01:00
|
|
|
if not output:
|
|
|
|
output = f'idf-diag-{uuid.uuid4()}'
|
feat(tools): add idf.py diag reporting tool
The initial implementation of a diagnostic tool that collects valuable
information about esp-idf and failed build to assist in investigating
reported issues.
The gathered information includes environmental variables, details about
the python virtual environment, installed tools, platform information,
project_description.json, sdkconfig, build logs, map file, linker
scripts, and others.
usage:
1) create the default report
# allow diag to create the report directory name
$ idf.py diag
# explicitly specify the report directory
$ idf.py diag --output <report directory>
2) examine the contents of the generated <report directory> for
sensitive information and add additional content to the
<report directory>
3) create report archive zip file that can be shared or attached to
the reported issue
$ idf.py diag --zip <report directory>
The tool collects information as described in what are known as recipe
files. A recipe file is a YAML file, similar to an Ansible playbook or a
GitHub action, but much more simplified. Each recipe outlines how to
gather a set of related information. For instance, the manager.yml
recipe gathers data related to the component manager. Each recipe
includes metadata such as its description, tags, and steps. Tags are
used to determine which recipes to use; by default, all built-in recipes
located in tools/idf_py_actions/diag/recipes are used. Steps consist of
a list of commands to be executed. Currently, there are four commands:
file, exec, env, and glob. For more detailed information about recipes,
their format, and commands, please refer to
tools/idf_py_actions/diag/recipes/README.md.
Recipe example for component manager:
description: IDF Component Manager information
tags: [manager, base, project]
output: manager
steps:
- name: 'IDF Component Manager'
cmds:
- exec:
cmd: 'python -m idf_component_manager version'
output: manager.ver
- file:
path: '${PROJECT_DIR}/dependencies.lock'
- glob:
# Gather all idf_component.yml files from the project directory and
# save them in directories relative to the project directory within
# the idf_component directory.
pattern: 'idf_component.yml'
recursive: true
relative: true
path: '${PROJECT_DIR}'
output: 'idf_component/'
Create report for manager
1) all recipes with manager tag
$ idf.py diag --tag manager
2) use only the manager recipe explicitly; built-in recipes can be
referenced simply by their name, but all recipes can be referenced
by their path
$ idf.py diag --recipe manager
or
$ idf.py diag --recipe <full path>
To display available recipes, use
$ idf.py diag --list
and to verify recipes, use
$ idf.py diag --check
Both --list and --check honers the --tag and --recipe options.
Signed-off-by: Frantisek Hrbata <frantisek.hrbata@espressif.com>
2024-11-07 08:59:32 +01:00
|
|
|
|
2025-02-10 16:50:41 +01:00
|
|
|
diag_args += ['--output', output]
|
feat(tools): add idf.py diag reporting tool
The initial implementation of a diagnostic tool that collects valuable
information about esp-idf and failed build to assist in investigating
reported issues.
The gathered information includes environmental variables, details about
the python virtual environment, installed tools, platform information,
project_description.json, sdkconfig, build logs, map file, linker
scripts, and others.
usage:
1) create the default report
# allow diag to create the report directory name
$ idf.py diag
# explicitly specify the report directory
$ idf.py diag --output <report directory>
2) examine the contents of the generated <report directory> for
sensitive information and add additional content to the
<report directory>
3) create report archive zip file that can be shared or attached to
the reported issue
$ idf.py diag --zip <report directory>
The tool collects information as described in what are known as recipe
files. A recipe file is a YAML file, similar to an Ansible playbook or a
GitHub action, but much more simplified. Each recipe outlines how to
gather a set of related information. For instance, the manager.yml
recipe gathers data related to the component manager. Each recipe
includes metadata such as its description, tags, and steps. Tags are
used to determine which recipes to use; by default, all built-in recipes
located in tools/idf_py_actions/diag/recipes are used. Steps consist of
a list of commands to be executed. Currently, there are four commands:
file, exec, env, and glob. For more detailed information about recipes,
their format, and commands, please refer to
tools/idf_py_actions/diag/recipes/README.md.
Recipe example for component manager:
description: IDF Component Manager information
tags: [manager, base, project]
output: manager
steps:
- name: 'IDF Component Manager'
cmds:
- exec:
cmd: 'python -m idf_component_manager version'
output: manager.ver
- file:
path: '${PROJECT_DIR}/dependencies.lock'
- glob:
# Gather all idf_component.yml files from the project directory and
# save them in directories relative to the project directory within
# the idf_component directory.
pattern: 'idf_component.yml'
recursive: true
relative: true
path: '${PROJECT_DIR}'
output: 'idf_component/'
Create report for manager
1) all recipes with manager tag
$ idf.py diag --tag manager
2) use only the manager recipe explicitly; built-in recipes can be
referenced simply by their name, but all recipes can be referenced
by their path
$ idf.py diag --recipe manager
or
$ idf.py diag --recipe <full path>
To display available recipes, use
$ idf.py diag --list
and to verify recipes, use
$ idf.py diag --check
Both --list and --check honers the --tag and --recipe options.
Signed-off-by: Frantisek Hrbata <frantisek.hrbata@espressif.com>
2024-11-07 08:59:32 +01:00
|
|
|
|
2025-02-10 16:50:41 +01:00
|
|
|
if force:
|
|
|
|
diag_args += ['--force']
|
|
|
|
if purge_file:
|
|
|
|
diag_args += ['--purge', purge_file]
|
feat(tools): add idf.py diag reporting tool
The initial implementation of a diagnostic tool that collects valuable
information about esp-idf and failed build to assist in investigating
reported issues.
The gathered information includes environmental variables, details about
the python virtual environment, installed tools, platform information,
project_description.json, sdkconfig, build logs, map file, linker
scripts, and others.
usage:
1) create the default report
# allow diag to create the report directory name
$ idf.py diag
# explicitly specify the report directory
$ idf.py diag --output <report directory>
2) examine the contents of the generated <report directory> for
sensitive information and add additional content to the
<report directory>
3) create report archive zip file that can be shared or attached to
the reported issue
$ idf.py diag --zip <report directory>
The tool collects information as described in what are known as recipe
files. A recipe file is a YAML file, similar to an Ansible playbook or a
GitHub action, but much more simplified. Each recipe outlines how to
gather a set of related information. For instance, the manager.yml
recipe gathers data related to the component manager. Each recipe
includes metadata such as its description, tags, and steps. Tags are
used to determine which recipes to use; by default, all built-in recipes
located in tools/idf_py_actions/diag/recipes are used. Steps consist of
a list of commands to be executed. Currently, there are four commands:
file, exec, env, and glob. For more detailed information about recipes,
their format, and commands, please refer to
tools/idf_py_actions/diag/recipes/README.md.
Recipe example for component manager:
description: IDF Component Manager information
tags: [manager, base, project]
output: manager
steps:
- name: 'IDF Component Manager'
cmds:
- exec:
cmd: 'python -m idf_component_manager version'
output: manager.ver
- file:
path: '${PROJECT_DIR}/dependencies.lock'
- glob:
# Gather all idf_component.yml files from the project directory and
# save them in directories relative to the project directory within
# the idf_component directory.
pattern: 'idf_component.yml'
recursive: true
relative: true
path: '${PROJECT_DIR}'
output: 'idf_component/'
Create report for manager
1) all recipes with manager tag
$ idf.py diag --tag manager
2) use only the manager recipe explicitly; built-in recipes can be
referenced simply by their name, but all recipes can be referenced
by their path
$ idf.py diag --recipe manager
or
$ idf.py diag --recipe <full path>
To display available recipes, use
$ idf.py diag --list
and to verify recipes, use
$ idf.py diag --check
Both --list and --check honers the --tag and --recipe options.
Signed-off-by: Frantisek Hrbata <frantisek.hrbata@espressif.com>
2024-11-07 08:59:32 +01:00
|
|
|
|
|
|
|
try:
|
2025-02-10 16:50:41 +01:00
|
|
|
RunTool('idf_diag', diag_args, args.project_dir, hints=not args.no_hints)()
|
feat(tools): add idf.py diag reporting tool
The initial implementation of a diagnostic tool that collects valuable
information about esp-idf and failed build to assist in investigating
reported issues.
The gathered information includes environmental variables, details about
the python virtual environment, installed tools, platform information,
project_description.json, sdkconfig, build logs, map file, linker
scripts, and others.
usage:
1) create the default report
# allow diag to create the report directory name
$ idf.py diag
# explicitly specify the report directory
$ idf.py diag --output <report directory>
2) examine the contents of the generated <report directory> for
sensitive information and add additional content to the
<report directory>
3) create report archive zip file that can be shared or attached to
the reported issue
$ idf.py diag --zip <report directory>
The tool collects information as described in what are known as recipe
files. A recipe file is a YAML file, similar to an Ansible playbook or a
GitHub action, but much more simplified. Each recipe outlines how to
gather a set of related information. For instance, the manager.yml
recipe gathers data related to the component manager. Each recipe
includes metadata such as its description, tags, and steps. Tags are
used to determine which recipes to use; by default, all built-in recipes
located in tools/idf_py_actions/diag/recipes are used. Steps consist of
a list of commands to be executed. Currently, there are four commands:
file, exec, env, and glob. For more detailed information about recipes,
their format, and commands, please refer to
tools/idf_py_actions/diag/recipes/README.md.
Recipe example for component manager:
description: IDF Component Manager information
tags: [manager, base, project]
output: manager
steps:
- name: 'IDF Component Manager'
cmds:
- exec:
cmd: 'python -m idf_component_manager version'
output: manager.ver
- file:
path: '${PROJECT_DIR}/dependencies.lock'
- glob:
# Gather all idf_component.yml files from the project directory and
# save them in directories relative to the project directory within
# the idf_component directory.
pattern: 'idf_component.yml'
recursive: true
relative: true
path: '${PROJECT_DIR}'
output: 'idf_component/'
Create report for manager
1) all recipes with manager tag
$ idf.py diag --tag manager
2) use only the manager recipe explicitly; built-in recipes can be
referenced simply by their name, but all recipes can be referenced
by their path
$ idf.py diag --recipe manager
or
$ idf.py diag --recipe <full path>
To display available recipes, use
$ idf.py diag --list
and to verify recipes, use
$ idf.py diag --check
Both --list and --check honers the --tag and --recipe options.
Signed-off-by: Frantisek Hrbata <frantisek.hrbata@espressif.com>
2024-11-07 08:59:32 +01:00
|
|
|
except Exception:
|
2025-02-10 16:50:41 +01:00
|
|
|
raise
|
|
|
|
|
|
|
|
if command == 'create':
|
|
|
|
yellow_print(
|
|
|
|
(
|
|
|
|
f'Please make sure to thoroughly check it for any sensitive '
|
|
|
|
f'information before sharing and remove files you do not want '
|
|
|
|
f'to share. Kindly include any additional files you find '
|
|
|
|
f'relevant that were not automatically added. Please archive '
|
|
|
|
f'the contents of the final report directory using the command:\n'
|
|
|
|
f'"idf.py diag --zip {output}".'
|
|
|
|
)
|
|
|
|
)
|
feat(tools): add idf.py diag reporting tool
The initial implementation of a diagnostic tool that collects valuable
information about esp-idf and failed build to assist in investigating
reported issues.
The gathered information includes environmental variables, details about
the python virtual environment, installed tools, platform information,
project_description.json, sdkconfig, build logs, map file, linker
scripts, and others.
usage:
1) create the default report
# allow diag to create the report directory name
$ idf.py diag
# explicitly specify the report directory
$ idf.py diag --output <report directory>
2) examine the contents of the generated <report directory> for
sensitive information and add additional content to the
<report directory>
3) create report archive zip file that can be shared or attached to
the reported issue
$ idf.py diag --zip <report directory>
The tool collects information as described in what are known as recipe
files. A recipe file is a YAML file, similar to an Ansible playbook or a
GitHub action, but much more simplified. Each recipe outlines how to
gather a set of related information. For instance, the manager.yml
recipe gathers data related to the component manager. Each recipe
includes metadata such as its description, tags, and steps. Tags are
used to determine which recipes to use; by default, all built-in recipes
located in tools/idf_py_actions/diag/recipes are used. Steps consist of
a list of commands to be executed. Currently, there are four commands:
file, exec, env, and glob. For more detailed information about recipes,
their format, and commands, please refer to
tools/idf_py_actions/diag/recipes/README.md.
Recipe example for component manager:
description: IDF Component Manager information
tags: [manager, base, project]
output: manager
steps:
- name: 'IDF Component Manager'
cmds:
- exec:
cmd: 'python -m idf_component_manager version'
output: manager.ver
- file:
path: '${PROJECT_DIR}/dependencies.lock'
- glob:
# Gather all idf_component.yml files from the project directory and
# save them in directories relative to the project directory within
# the idf_component directory.
pattern: 'idf_component.yml'
recursive: true
relative: true
path: '${PROJECT_DIR}'
output: 'idf_component/'
Create report for manager
1) all recipes with manager tag
$ idf.py diag --tag manager
2) use only the manager recipe explicitly; built-in recipes can be
referenced simply by their name, but all recipes can be referenced
by their path
$ idf.py diag --recipe manager
or
$ idf.py diag --recipe <full path>
To display available recipes, use
$ idf.py diag --list
and to verify recipes, use
$ idf.py diag --check
Both --list and --check honers the --tag and --recipe options.
Signed-off-by: Frantisek Hrbata <frantisek.hrbata@espressif.com>
2024-11-07 08:59:32 +01:00
|
|
|
|
|
|
|
|
|
|
|
def action_extensions(base_actions: Dict, project_path: str) -> Any:
|
|
|
|
return {
|
|
|
|
'actions': {
|
|
|
|
'diag': {
|
2025-02-10 16:50:41 +01:00
|
|
|
'callback': diag,
|
feat(tools): add idf.py diag reporting tool
The initial implementation of a diagnostic tool that collects valuable
information about esp-idf and failed build to assist in investigating
reported issues.
The gathered information includes environmental variables, details about
the python virtual environment, installed tools, platform information,
project_description.json, sdkconfig, build logs, map file, linker
scripts, and others.
usage:
1) create the default report
# allow diag to create the report directory name
$ idf.py diag
# explicitly specify the report directory
$ idf.py diag --output <report directory>
2) examine the contents of the generated <report directory> for
sensitive information and add additional content to the
<report directory>
3) create report archive zip file that can be shared or attached to
the reported issue
$ idf.py diag --zip <report directory>
The tool collects information as described in what are known as recipe
files. A recipe file is a YAML file, similar to an Ansible playbook or a
GitHub action, but much more simplified. Each recipe outlines how to
gather a set of related information. For instance, the manager.yml
recipe gathers data related to the component manager. Each recipe
includes metadata such as its description, tags, and steps. Tags are
used to determine which recipes to use; by default, all built-in recipes
located in tools/idf_py_actions/diag/recipes are used. Steps consist of
a list of commands to be executed. Currently, there are four commands:
file, exec, env, and glob. For more detailed information about recipes,
their format, and commands, please refer to
tools/idf_py_actions/diag/recipes/README.md.
Recipe example for component manager:
description: IDF Component Manager information
tags: [manager, base, project]
output: manager
steps:
- name: 'IDF Component Manager'
cmds:
- exec:
cmd: 'python -m idf_component_manager version'
output: manager.ver
- file:
path: '${PROJECT_DIR}/dependencies.lock'
- glob:
# Gather all idf_component.yml files from the project directory and
# save them in directories relative to the project directory within
# the idf_component directory.
pattern: 'idf_component.yml'
recursive: true
relative: true
path: '${PROJECT_DIR}'
output: 'idf_component/'
Create report for manager
1) all recipes with manager tag
$ idf.py diag --tag manager
2) use only the manager recipe explicitly; built-in recipes can be
referenced simply by their name, but all recipes can be referenced
by their path
$ idf.py diag --recipe manager
or
$ idf.py diag --recipe <full path>
To display available recipes, use
$ idf.py diag --list
and to verify recipes, use
$ idf.py diag --check
Both --list and --check honers the --tag and --recipe options.
Signed-off-by: Frantisek Hrbata <frantisek.hrbata@espressif.com>
2024-11-07 08:59:32 +01:00
|
|
|
'help': 'Create diagnostic report.',
|
|
|
|
'options': [
|
|
|
|
{
|
|
|
|
'names': ['-d', '--debug'],
|
|
|
|
'is_flag': True,
|
|
|
|
'help': 'Print debug information, including exception tracebacks.',
|
|
|
|
},
|
|
|
|
{
|
|
|
|
'names': ['--no-color'],
|
|
|
|
'is_flag': True,
|
|
|
|
'help': 'Do not emit ANSI color codes.',
|
|
|
|
},
|
|
|
|
{
|
|
|
|
'names': ['--log-prefix'],
|
|
|
|
'is_flag': True,
|
|
|
|
'help': 'Add a severity character at the beginning of log messages.',
|
|
|
|
},
|
|
|
|
{
|
|
|
|
'names': ['-z', '--zip', 'zip_directory'],
|
|
|
|
'metavar': 'PATH',
|
|
|
|
'help': 'Create zip archive for diagnostic report in PATH.',
|
|
|
|
},
|
|
|
|
{
|
|
|
|
'names': ['-l', '--list', 'list_recipes'],
|
|
|
|
'is_flag': True,
|
|
|
|
'help': 'Show information about available recipes.',
|
|
|
|
},
|
|
|
|
{
|
|
|
|
'names': ['-c', '--check', 'check_recipes'],
|
|
|
|
'is_flag': True,
|
|
|
|
'help': 'Validate recipes.',
|
|
|
|
},
|
|
|
|
{
|
|
|
|
'names': ['-r', '--recipe', 'cmdl_recipes'],
|
|
|
|
'multiple': True,
|
|
|
|
'metavar': 'RECIPE',
|
|
|
|
'type': str,
|
|
|
|
'help': ('Recipe to use. This option can be specified multiple times. '
|
|
|
|
'By default, all built-in recipes are used. RECIPE refers to '
|
|
|
|
'the recipe file path or the file name stem for built-in recipes.'),
|
|
|
|
},
|
|
|
|
{
|
|
|
|
'names': ['-t', '--tag', 'cmdl_tags'],
|
|
|
|
'multiple': True,
|
|
|
|
'metavar': 'TAG',
|
|
|
|
'type': str,
|
|
|
|
'help': ('Consider only recipes containing TAG. This option can be specified '
|
|
|
|
'multiple times. By default, all recipes are used. Use -l/--list-recipes '
|
|
|
|
'option to see recipe TAG information.'),
|
|
|
|
},
|
|
|
|
{
|
|
|
|
'names': ['-a', '--append'],
|
|
|
|
'is_flag': True,
|
|
|
|
'help': ('Use recipes specified with the -r/--recipe option in '
|
|
|
|
'combination with the built-in recipes.'),
|
|
|
|
},
|
|
|
|
{
|
|
|
|
'names': ['-f', '--force'],
|
|
|
|
'is_flag': True,
|
|
|
|
'help': 'Delete the target file or directory if it already exists before creating it.',
|
|
|
|
},
|
|
|
|
{
|
|
|
|
'names': ['-o', '--output'],
|
|
|
|
'metavar': 'PATH',
|
|
|
|
'type': str,
|
|
|
|
'help': ('Diagnostic report directory PATH or zip file archive PATH. '
|
|
|
|
'If not specified, the report-UUID is used as the report directory, '
|
|
|
|
'and the report directory specified with the --zip option with a zip '
|
|
|
|
'extension is used for the zip file archive.')
|
|
|
|
},
|
2025-01-28 09:12:24 +01:00
|
|
|
{
|
|
|
|
'names': ['-p', '--purge', 'purge_file'],
|
|
|
|
'metavar': 'PATH',
|
|
|
|
'type': str,
|
2025-02-10 16:50:41 +01:00
|
|
|
'help': ('Use a custom purge file to remove sensitive information from the report.')
|
2025-01-28 09:12:24 +01:00
|
|
|
},
|
feat(tools): add idf.py diag reporting tool
The initial implementation of a diagnostic tool that collects valuable
information about esp-idf and failed build to assist in investigating
reported issues.
The gathered information includes environmental variables, details about
the python virtual environment, installed tools, platform information,
project_description.json, sdkconfig, build logs, map file, linker
scripts, and others.
usage:
1) create the default report
# allow diag to create the report directory name
$ idf.py diag
# explicitly specify the report directory
$ idf.py diag --output <report directory>
2) examine the contents of the generated <report directory> for
sensitive information and add additional content to the
<report directory>
3) create report archive zip file that can be shared or attached to
the reported issue
$ idf.py diag --zip <report directory>
The tool collects information as described in what are known as recipe
files. A recipe file is a YAML file, similar to an Ansible playbook or a
GitHub action, but much more simplified. Each recipe outlines how to
gather a set of related information. For instance, the manager.yml
recipe gathers data related to the component manager. Each recipe
includes metadata such as its description, tags, and steps. Tags are
used to determine which recipes to use; by default, all built-in recipes
located in tools/idf_py_actions/diag/recipes are used. Steps consist of
a list of commands to be executed. Currently, there are four commands:
file, exec, env, and glob. For more detailed information about recipes,
their format, and commands, please refer to
tools/idf_py_actions/diag/recipes/README.md.
Recipe example for component manager:
description: IDF Component Manager information
tags: [manager, base, project]
output: manager
steps:
- name: 'IDF Component Manager'
cmds:
- exec:
cmd: 'python -m idf_component_manager version'
output: manager.ver
- file:
path: '${PROJECT_DIR}/dependencies.lock'
- glob:
# Gather all idf_component.yml files from the project directory and
# save them in directories relative to the project directory within
# the idf_component directory.
pattern: 'idf_component.yml'
recursive: true
relative: true
path: '${PROJECT_DIR}'
output: 'idf_component/'
Create report for manager
1) all recipes with manager tag
$ idf.py diag --tag manager
2) use only the manager recipe explicitly; built-in recipes can be
referenced simply by their name, but all recipes can be referenced
by their path
$ idf.py diag --recipe manager
or
$ idf.py diag --recipe <full path>
To display available recipes, use
$ idf.py diag --list
and to verify recipes, use
$ idf.py diag --check
Both --list and --check honers the --tag and --recipe options.
Signed-off-by: Frantisek Hrbata <frantisek.hrbata@espressif.com>
2024-11-07 08:59:32 +01:00
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],
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},
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},
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}
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