def test_docs_training_data(mdx_file_path: Path):
with mdx_file_path.open("r") as handle:
mdx_content = handle.read()
matches = TRAINING_DATA_CODEBLOCK_RE.finditer(mdx_content)
lines_with_errors: List[Text] = []
for match in matches:
yaml_path = match.group("yaml_path")
if yaml_path:
with (DOCS_BASE_DIR / yaml_path).open("r") as handle:
codeblock = handle.read()
else:
codeblock = match.group("codeblock")
start_index = match.span()[0]
line_number = mdx_content.count("\n", 0, start_index) + 1
try:
RasaYAMLReader.validate(codeblock)
except ValueError:
lines_with_errors.append(str(line_number))
if lines_with_errors:
raise AssertionError(
f"({mdx_file_path}): Invalid training data found "
f"at line{'s' if len(lines_with_errors) > 1 else ''} {', '.join(lines_with_errors)}"
)
def _validate_yaml_training_payload(yaml_text: Text) -> None:
try:
RasaYAMLReader.validate(yaml_text)
except Exception as e:
raise ErrorResponse(
400,
"BadRequest",
f"The request body does not contain valid YAML. Error: {e}",
help_url=DOCS_URL_TRAINING_DATA_NLU,
)