当pre=False(默认值)时,该验证器会在所有字段验证之后执行。如果验证失败且未指定skip_on_failure=True,则会抛出异常并阻止模型实例化。指定skip_on_failure=True后,即使验证失败,模型的其他字段验证也会继续,并且模型仍然可以被实例化(但验证失败的字段会导致模型的部分属性不符合预期)。
pydantic.errors.PydanticUserError: If you use `@root_validator` with pre=False (the default) you MUST specify `skip_on_failure=True`. Note that `@root_validator` is deprecated and should be replaced with `@model_validator`. 今まで動いていたのに... いつも大変お世話になっております...
Think about this as, you can pick all nodes where both are true: "skipped" because of an upstream failure, and tagged to rerun_despite_upstream_failure. dbt run --select result:skipped,rerun_despite_upstream_failure --state previous/run_results.json I'd say, I'm open to this ...
(suffix=".py", dir=".", delete=True) as tf: name = tf.name[:-3].split("/")[-1] tf.write("\n".join([dedent(x) for x in skip_decorators_blocks[:-1]]).encode()) tf.flush() codeblock = f"from {name} import f" dedented_blocks = [ codeblock, "f()", ] in_prompt...