from __future__ import annotations

from pydantic_ai import Agent
from pydantic_ai.models import Model

from generator.prompts import OBJECTIVE_SYSTEM, format_technique_hint
from prompts.models import Probe

from .base import AbstractStrategy


class ObjectiveStrategy(AbstractStrategy):
    """Generate probes targeting a specific user-defined objective."""

    def __init__(self, targets: list[str]) -> None:
        self._targets = targets

    def generate(
        self,
        seeds: list[Probe],
        model: Model,
        count: int = 5,
        technique_hints: list[str] | None = None,
    ) -> list[str]:
        if not self._targets:
            return []
        goal = self._targets[0]
        hint = format_technique_hint(technique_hints or [])
        agent = Agent(
            model,
            system_prompt=OBJECTIVE_SYSTEM.format(count=count, goal=goal, technique_hint=hint),
        )
        result = agent.run_sync(f"Generate {count} prompts for goal: {goal}")
        return self._parse_candidates(result.output)[:count]

    def get_name(self) -> str:
        return "objective"

    def get_description(self) -> str:
        preview = ", ".join(self._targets[:2])
        suffix = "…" if len(self._targets) > 2 else ""
        return f"Generate probes targeting specific objectives: {preview}{suffix}"
