blob: 41b67e5e9d595663b771ba580244a4ae7353c666 [file] [log] [blame]
#! /usr/bin/python
# Zephyr's Sanity Check library
# Set of code that other projects can also import to do things on
# Zephyr's sanity check testcases.
import logging
import os
import yaml
log = logging.getLogger("scl")
def yaml_load(filename):
Safely load a YAML document
Follows recomendations from
:param str filename: filename to load
:raises yaml.scanner: On YAML scan issues
:raises: any other exception on file access erors
:return: dictionary representing the YAML document
with open(filename, 'r') as f:
return yaml.safe_load(f)
except yaml.scanner.ScannerError as e: # For errors parsing schema.yaml
mark = e.problem_mark
cmark = e.context_mark
log.error("%s:%d:%d: error: %s (note %s context @%s:%d:%d %s)",, mark.line, mark.column, e.problem,
e.note,, cmark.line, cmark.column, e.context)
# If pykwalify is installed, then the validate functionw ill work --
# otherwise, it is a stub and we'd warn about it.
import pykwalify.core
# Don't print error messages yourself, let us do it
def _yaml_validate(data, schema):
if not schema:
c = pykwalify.core.Core(source_data = data, schema_data = schema)
c.validate(raise_exception = True)
except ImportError as e:
log.warning("can't import pykwalify; won't validate YAML (%s)", e)
def _yaml_validate(data, schema):
def yaml_load_verify(filename, schema):
Safely load a testcase/sample yaml document and validate it
against the YAML schema, returing in case of success the YAML data.
:param str filename: name of the file to load and process
:param dict schema: loaded YAML schema (can load with :func:`yaml_load`)
# 'document.yaml' contains a single YAML document.
:raises yaml.scanner.ScannerError: on YAML parsing error
:raises pykwalify.errors.SchemaError: on Schema violation error
# 'document.yaml' contains a single YAML document.
y = yaml_load(filename)
_yaml_validate(y, schema)
return y