83 lines
2.6 KiB
Python
83 lines
2.6 KiB
Python
#! /usr/bin/python
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#
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# SPDX-License-Identifier: Apache-2.0
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# Zephyr's Twister library
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#
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# pylint: disable=unused-import
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#
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# Set of code that other projects can also import to do things on
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# Zephyr's sanity check testcases.
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import logging
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import yaml
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try:
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# Use the C LibYAML parser if available, rather than the Python parser.
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# It's much faster.
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from yaml import CLoader as Loader
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from yaml import CSafeLoader as SafeLoader
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from yaml import CDumper as Dumper
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except ImportError:
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from yaml import Loader, SafeLoader, Dumper
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log = logging.getLogger("scl")
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#
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#
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def yaml_load(filename):
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"""
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Safely load a YAML document
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Follows recommendations from
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https://security.openstack.org/guidelines/dg_avoid-dangerous-input-parsing-libraries.html.
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:param str filename: filename to load
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:raises yaml.scanner: On YAML scan issues
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:raises: any other exception on file access errors
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:return: dictionary representing the YAML document
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"""
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try:
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with open(filename, 'r') as f:
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return yaml.load(f, Loader=SafeLoader)
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except yaml.scanner.ScannerError as e: # For errors parsing schema.yaml
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mark = e.problem_mark
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cmark = e.context_mark
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log.error("%s:%d:%d: error: %s (note %s context @%s:%d:%d %s)",
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mark.name, mark.line, mark.column, e.problem,
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e.note, cmark.name, cmark.line, cmark.column, e.context)
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raise
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# If pykwalify is installed, then the validate function will work --
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# otherwise, it is a stub and we'd warn about it.
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try:
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import pykwalify.core
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# Don't print error messages yourself, let us do it
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logging.getLogger("pykwalify.core").setLevel(50)
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def _yaml_validate(data, schema):
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if not schema:
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return
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c = pykwalify.core.Core(source_data=data, schema_data=schema)
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c.validate(raise_exception=True)
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except ImportError as e:
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log.warning("can't import pykwalify; won't validate YAML (%s)", e)
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def _yaml_validate(data, schema):
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pass
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def yaml_load_verify(filename, schema):
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"""
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Safely load a testcase/sample yaml document and validate it
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against the YAML schema, returning in case of success the YAML data.
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:param str filename: name of the file to load and process
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:param dict schema: loaded YAML schema (can load with :func:`yaml_load`)
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# 'document.yaml' contains a single YAML document.
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:raises yaml.scanner.ScannerError: on YAML parsing error
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:raises pykwalify.errors.SchemaError: on Schema violation error
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"""
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# 'document.yaml' contains a single YAML document.
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y = yaml_load(filename)
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_yaml_validate(y, schema)
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return y
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