AlejandroMorgante commented on code in PR #74386: URL: https://github.com/apache/airflow/pull/74386#discussion_r4343980043
########## providers/databricks/src/airflow/providers/databricks/hooks/agent.py: ########## @@ -0,0 +1,435 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +"""Invoke agents served by Databricks DurableAgentServer.""" + +from __future__ import annotations + +import json +import time +from typing import TYPE_CHECKING, Any, cast +from urllib.parse import urlsplit +from uuid import UUID, uuid4 + +import aiohttp +import requests +from tenacity import RetryError, stop_before_delay + +from airflow.providers.common.compat.sdk import AirflowException, AirflowOptionalProviderFeatureException +from airflow.providers.databricks.exceptions import DatabricksAgentInvocationTimeout, DatabricksApiError +from airflow.providers.databricks.hooks.databricks_base import BaseDatabricksHook, _TokenAuth + +if TYPE_CHECKING: + from tenacity.stop import stop_base + + from airflow.providers.common.ai.exceptions import ManagedAgentInvocationError + from airflow.providers.common.ai.managed_agents.base import ( + BaseManagedAgentHook, + ManagedAgentCapabilities, + ManagedAgentRef, + ManagedAgentRequest, + ManagedAgentResponse, + ) +else: + try: + from airflow.providers.common.ai.exceptions import ManagedAgentInvocationError + from airflow.providers.common.ai.managed_agents.base import ( + BaseManagedAgentHook, + ManagedAgentCapabilities, + ManagedAgentRef, + ManagedAgentResponse, + ) + except ImportError as e: + _common_ai_import_error = e + + def _needs_common_ai(*args: Any, **kwargs: Any) -> Any: + raise AirflowOptionalProviderFeatureException( + "Consulting a Databricks agent needs the 'common.ai' extra: " + "pip install 'apache-airflow-providers-databricks[common.ai]'." + ) from _common_ai_import_error + + class BaseManagedAgentHook: + """Keep background invocation available without the Common AI extra.""" + + agent = _needs_common_ai + + ManagedAgentCapabilities = ManagedAgentRef = ManagedAgentResponse = _needs_common_ai + ManagedAgentInvocationError = _needs_common_ai + + +_AGENT_OPTIONS = frozenset({"input_key", "invocation_id"}) + + +class DatabricksAgentHook(BaseDatabricksHook, BaseManagedAgentHook): + """ + Invoke a DurableAgentServer deployed on Databricks Apps. + + With the ``common.ai`` extra installed, ``hook.agent(app_url)`` exposes the synchronous + invocation API through the managed-agent contract. Background invocations remain available + through ``create_invocation`` and ``get_invocation`` without that extra. + + :param app_url: HTTPS base URL for background invocation methods. Defaults to ``None``; + managed-agent calls receive the app URL as their ``agent`` argument. + :param databricks_conn_id: Databricks workspace connection configured with + ``service_principal_oauth=true``, a client ID in login and a client secret in password. + Defaults to ``databricks_default``. + :param timeout_seconds: HTTP request timeout in seconds. Defaults to ``180``. + :param retry_limit: Maximum number of attempts for transient HTTP failures. Defaults to ``3``. + :param retry_delay: Minimum delay between HTTP retries in seconds. Defaults to ``1``. + """ + + def __init__( + self, + app_url: str | None = None, + databricks_conn_id: str = "databricks_default", + timeout_seconds: int = 180, + retry_limit: int = 3, + retry_delay: float = 1, + ) -> None: + super().__init__(databricks_conn_id, timeout_seconds, retry_limit, retry_delay) + self.app_url = self._validate_app_url(app_url) if app_url is not None else None + + agent_platform = "databricks.agent_runtime" + + @staticmethod + def _validate_app_url(app_url: str | None) -> str: + if app_url is None: + raise ValueError("app_url is required for background invocation methods") + parsed = urlsplit(app_url) + if ( + parsed.scheme != "https" + or not parsed.hostname + or parsed.username + or parsed.password + or parsed.path not in ("", "/") + or parsed.query + or parsed.fragment + ): + raise ValueError("app_url must be an HTTPS base URL without credentials, path, query or fragment") + return app_url.rstrip("/") + + def resolve_agent(self, agent: str) -> ManagedAgentRef: + """ + Resolve an app's HTTPS base URL without contacting Databricks. + + :param agent: HTTPS base URL of the deployed app. + :return: Platform-qualified app URL with its trailing slash removed. + """ + return ManagedAgentRef(platform=self.agent_platform, name=self._validate_app_url(agent)) + + def get_agent_capabilities(self, agent: str) -> ManagedAgentCapabilities: + """ + Report session, structured-output and invocation-ID support. + + :param agent: HTTPS base URL of the deployed app. + :return: Capabilities of the synchronous invocation API. + """ + self.resolve_agent(agent) + return ManagedAgentCapabilities(sessions=True, structured_output=True, trace=True) + + def invoke_agent(self, agent: str, request: ManagedAgentRequest) -> ManagedAgentResponse: + """ + Invoke an agent synchronously through the Common AI contract. + + :param agent: HTTPS base URL of the deployed app. + :param request: Prompt or messages, optional session and request timeout. Vendor options + accept ``input_key`` to send a prompt under an agent-specific key and ``invocation_id`` + to reuse a caller-provided UUID. By default, prompts are converted to messages and + a new UUID is generated for each call. Without a session, the invocation UUID + is also used as a one-shot session ID. + :return: Answer text, full invocation response, structured output, session and invocation ID. + """ + app_url = self.resolve_agent(agent).name + unknown = set(request.vendor_options) - _AGENT_OPTIONS + if unknown: + raise ValueError( + f"vendor_options {sorted(unknown)} are not accepted; expected {sorted(_AGENT_OPTIONS)}" + ) + input_key = request.vendor_options.get("input_key") + if input_key is not None and (not isinstance(input_key, str) or not input_key): + raise ValueError("vendor_options['input_key'] must be a nonempty string") + if input_key is not None and request.messages is not None: + raise ValueError("vendor_options['input_key'] only applies to a prompt") + invocation_id = ( + str(UUID(request.vendor_options["invocation_id"])) + if "invocation_id" in request.vendor_options + else str(uuid4()) + ) + session_id = request.session_id if request.session_id is not None else invocation_id + payload: dict[str, Any] = { + "id": invocation_id, + "session_id": session_id, + "input": {input_key: request.prompt} + if input_key is not None + else { + "messages": [{"role": "user", "content": request.prompt}] + if request.prompt is not None + else request.as_messages() + }, + } + if request.timeout is not None and request.timeout <= 0: + raise ValueError("timeout_seconds must be positive") + deadline = time.monotonic() + request.timeout if request.timeout is not None else None + try: + raw = self._do_agent_api_call( + "POST", + "api/invocations", + payload, + session_id, + timeout_seconds=self._get_remaining_timeout(deadline, invocation_id), + app_url=app_url, + ) + except DatabricksAgentInvocationTimeout: + raise + except AirflowException as exc: + cause = exc.__cause__ or exc.__context__ + if isinstance(cause, RetryError): + cause = cause.last_attempt.exception() + if ( + isinstance(exc, DatabricksApiError) + and isinstance(cause, requests.HTTPError) + and cause.response is not None + and cause.response.status_code >= 500 + ): + # A synchronous agent failure is HTTP 500; the stored status distinguishes it from an outage. + try: + state = self._do_agent_api_call( + "GET", + f"api/invocations/{invocation_id}", + None, + session_id, + timeout_seconds=self._get_remaining_timeout(deadline, invocation_id), + app_url=app_url, + ) + except DatabricksAgentInvocationTimeout: + raise + except (AirflowException, requests.RequestException, ValueError): + pass + else: + self._get_remaining_timeout(deadline, invocation_id) + if isinstance(state, dict) and state.get("status") == "failed": + raise ManagedAgentInvocationError( + f"Databricks agent invocation {invocation_id} failed; inspect the app logs" + ) from exc + if isinstance(exc.__cause__, RetryError) and cause is not None: + raise cause from None + if isinstance(cause, requests.HTTPError) and ( + cause.response.status_code == 429 or cause.response.status_code >= 500 + ): + raise cause from None + raise ManagedAgentInvocationError( + "Databricks managed-agent request failed; inspect the app logs" + ) from exc + self._get_remaining_timeout(deadline, invocation_id) + if not isinstance(raw, dict) or raw.get("status") != "completed": + raise ManagedAgentInvocationError( + f"Databricks agent invocation {invocation_id} did not complete; inspect the app logs" + ) + output = raw.get("output") + if isinstance(output, dict) and output.get("status") == "interrupted": + raise ManagedAgentInvocationError( + f"Databricks agent invocation {invocation_id} was interrupted; use the operator to handle its output" + ) + text = output if isinstance(output, str) else "" if output is None else json.dumps(output) + if isinstance(output, dict) and isinstance(output.get("output"), str): + text = output["output"] + elif isinstance(output, dict) and isinstance(output.get("output"), list): + for message in reversed(output["output"]): + if not isinstance(message, dict): + continue + # OpenAI templates use role; LangGraph templates serialize AIMessage.type. + if message.get("role") != "assistant" and message.get("type") != "ai": + continue + content = message.get("content") + if isinstance(content, str): + text = content + elif isinstance(content, list) and content: + parts = [] + for block in content: + if isinstance(block, str): + parts.append(block) + elif ( + isinstance(block, dict) + and block.get("type") == "text" + and isinstance(block.get("text"), str) + ): + parts.append(block["text"]) + else: + break + else: + text = "".join(parts) + break + return ManagedAgentResponse( + text=text, + raw=raw, + structured=None if isinstance(output, str) else output, + session_id=raw.get("session_id", session_id), + trace_ref=raw.get("id", invocation_id), + ) + + def _validate_oauth(self) -> None: + conn = self.databricks_conn + if not conn.extra_dejson.get("service_principal_oauth") or not conn.login or not conn.password: + raise ValueError("Databricks Apps requires service_principal_oauth with a client ID and secret") + + def _get_headers(self, token: str, session_id: str | None) -> dict[str, str]: + headers = {**self.user_agent_header, "Authorization": f"Bearer {token}"} + if session_id is not None: + headers["X-Routing-Key"] = session_id + return headers + + def create_invocation( + self, + invocation_id: str, + input: Any, + session_id: str | None = None, + ) -> dict[str, Any]: + """ + Start a background invocation; retrying the same UUID and input is idempotent. + + :param invocation_id: UUID identifying the invocation. + :param input: JSON-serializable input whose schema is defined by the agent. + :param session_id: Conversation ID, also sent as the routing key. Defaults to ``None``. + :return: Complete JSON submission response returned by the agent server. + """ + invocation_id = str(UUID(invocation_id)) + payload = {"id": invocation_id, "input": input, "background": True} + if session_id is not None: + payload["session_id"] = session_id + return self._do_agent_api_call("POST", "api/invocations", payload, session_id) + + def get_invocation( + self, invocation_id: str, session_id: str | None = None, *, timeout_seconds: float | None = None + ) -> dict[str, Any]: + """ + Get the status and output of an invocation. + + :param invocation_id: UUID identifying the invocation. + :param session_id: Conversation ID sent as the routing key. Defaults to ``None``. + :param timeout_seconds: Optional polling request/retry budget in seconds. Defaults to ``None``, + which uses the hook's HTTP timeout and retry settings. OAuth refresh uses the base hook's + token timeout; if it exhausts this budget, no invocation request is sent. + :return: Complete JSON invocation response, including output when available. + """ + invocation_id = str(UUID(invocation_id)) + return self._do_agent_api_call( + "GET", f"api/invocations/{invocation_id}", None, session_id, timeout_seconds=timeout_seconds + ) + + def _do_agent_api_call( + self, + method: str, + endpoint: str, + payload: dict[str, Any] | None, + session_id: str | None, + *, + timeout_seconds: float | None = None, + app_url: str | None = None, + ) -> dict[str, Any]: + app_url = self._validate_app_url(app_url if app_url is not None else self.app_url) + self._validate_oauth() + if timeout_seconds is not None and timeout_seconds <= 0: + raise ValueError("timeout_seconds must be positive") + deadline = time.monotonic() + timeout_seconds if timeout_seconds is not None else None + retry = self._get_retry_object() + if timeout_seconds is not None: + retry = retry.copy(stop=cast("stop_base", retry.stop) | stop_before_delay(timeout_seconds)) + try: + for attempt in retry: + with attempt: + self._get_remaining_timeout(deadline, endpoint) + token = self._get_sp_token(self._get_oidc_token_service_url()) + remaining = self._get_remaining_timeout(deadline, endpoint) + request_timeout = remaining if remaining is not None else self.timeout_seconds Review Comment: Done. GET requests now use `min(self.timeout_seconds, remaining)`, including the status lookup after a synchronous POST exhausts retries on a 5xx response. Synchronous POST requests retain the full remaining budget. Updated the tests to cover capped GET timeouts and recalculation across retries. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
