# Copyright 2026 Google LLC
#
# Licensed 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.

from typing import Literal

from google.adk import Agent
from google.adk import Context
from google.adk import Event
from google.adk import Workflow
from google.adk.workflow import node
from pydantic import BaseModel
from pydantic import Field


class Feedback(BaseModel):
  grade: Literal["tech-related", "unrelated"] = Field(
      description=(
          "Decide if the headline is related to technology or software"
          " engineering."
      ),
  )
  feedback: str = Field(
      description=(
          "If the headline is unrelated to technology, provide feedback on how"
          " to make it more tech-focused."
      ),
  )


generate_headline = Agent(
    name="generate_headline",
    instruction="""
    Write a headline about the topic "{topic}".
    If feedback is provided, take it into account.
    The feedback: {feedback?}
    """,
)


evaluate_headline = Agent(
    name="evaluate_headline",
    instruction="""
    Grade whether the headline is related to technology or software engineering.
    """,
    output_schema=Feedback,
    output_key="feedback",
)


@node(rerun_on_resume=True)
async def orchestrate(ctx: Context, node_input: str) -> str:
  yield Event(state={"topic": node_input})

  while True:
    headline = await ctx.run_node(generate_headline)
    feedback = Feedback.model_validate(
        await ctx.run_node(evaluate_headline, node_input=headline)
    )
    if feedback.grade == "tech-related":
      yield headline
      break


root_agent = Workflow(
    name="root_agent",
    edges=[("START", orchestrate)],
)
