73 lines
1.8 KiB
Python
73 lines
1.8 KiB
Python
import dbt.exceptions
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from typing import Any, Dict, Optional
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import yaml
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import yaml.scanner
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# the C version is faster, but it doesn't always exist
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try:
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from yaml import (
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CLoader as Loader,
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CSafeLoader as SafeLoader,
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CDumper as Dumper
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)
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except ImportError:
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from yaml import ( # type: ignore # noqa: F401
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Loader, SafeLoader, Dumper
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)
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YAML_ERROR_MESSAGE = """
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Syntax error near line {line_number}
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------------------------------
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{nice_error}
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Raw Error:
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------------------------------
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{raw_error}
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""".strip()
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def line_no(i, line, width=3):
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line_number = str(i).ljust(width)
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return "{}| {}".format(line_number, line)
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def prefix_with_line_numbers(string, no_start, no_end):
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line_list = string.split('\n')
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numbers = range(no_start, no_end)
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relevant_lines = line_list[no_start:no_end]
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return "\n".join([
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line_no(i + 1, line) for (i, line) in zip(numbers, relevant_lines)
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])
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def contextualized_yaml_error(raw_contents, error):
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mark = error.problem_mark
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min_line = max(mark.line - 3, 0)
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max_line = mark.line + 4
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nice_error = prefix_with_line_numbers(raw_contents, min_line, max_line)
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return YAML_ERROR_MESSAGE.format(line_number=mark.line + 1,
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nice_error=nice_error,
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raw_error=error)
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def safe_load(contents) -> Optional[Dict[str, Any]]:
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return yaml.load(contents, Loader=SafeLoader)
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def load_yaml_text(contents):
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try:
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return safe_load(contents)
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except (yaml.scanner.ScannerError, yaml.YAMLError) as e:
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if hasattr(e, 'problem_mark'):
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error = contextualized_yaml_error(contents, e)
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else:
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error = str(e)
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raise dbt.exceptions.ValidationException(error)
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