import json

from multi_swarm.agents.hypothesis import HypothesisAgent, MarketSummary
from multi_swarm.genome.hypothesis import HypothesisAgentGenome, ModelTier
from multi_swarm.llm.client import CompletionResult


def make_summary() -> MarketSummary:
    return MarketSummary(
        symbol="BTC/USDT",
        timeframe="1h",
        n_bars=1000,
        return_mean=0.0001,
        return_std=0.01,
        skew=0.1,
        kurtosis=3.5,
        volatility_regime="high",
    )


VALID_STRATEGY_JSON = json.dumps(
    {
        "rules": [
            {
                "condition": {
                    "op": "gt",
                    "args": [
                        {"kind": "indicator", "name": "rsi", "params": [14]},
                        {"kind": "literal", "value": 70.0},
                    ],
                },
                "action": "entry-short",
            }
        ]
    }
)


def make_genome() -> HypothesisAgentGenome:
    return HypothesisAgentGenome(
        system_prompt="Pensa come un fisico.",
        feature_access=["close"],
        temperature=0.9,
        top_p=0.95,
        model_tier=ModelTier.C,
        lookback_window=200,
        cognitive_style="physicist",
    )


def test_hypothesis_agent_calls_llm_and_parses(mocker):  # type: ignore[no-untyped-def]
    fake_llm = mocker.MagicMock()
    fake_llm.complete.return_value = CompletionResult(
        text=VALID_STRATEGY_JSON,
        input_tokens=200,
        output_tokens=80,
        tier=ModelTier.C,
        model="qwen",
    )
    agent = HypothesisAgent(llm=fake_llm)
    proposal = agent.propose(make_genome(), make_summary())
    assert proposal.strategy is not None
    assert proposal.completions[0].input_tokens == 200
    assert proposal.n_attempts == 1
    fake_llm.complete.assert_called_once()


def test_hypothesis_agent_returns_none_on_parse_error(mocker):  # type: ignore[no-untyped-def]
    fake_llm = mocker.MagicMock()
    fake_llm.complete.return_value = CompletionResult(
        text="this is not JSON",
        input_tokens=200,
        output_tokens=80,
        tier=ModelTier.C,
        model="qwen",
    )
    agent = HypothesisAgent(llm=fake_llm, max_retries=0)
    proposal = agent.propose(make_genome(), make_summary())
    assert proposal.strategy is None
    assert proposal.parse_error is not None
    assert proposal.n_attempts == 1
    assert fake_llm.complete.call_count == 1


def test_hypothesis_agent_extracts_json_from_markdown_fence(mocker):  # type: ignore[no-untyped-def]
    fenced = (
        "Ecco la strategia:\n```json\n"
        + VALID_STRATEGY_JSON
        + "\n```\nFatta."
    )
    fake_llm = mocker.MagicMock()
    fake_llm.complete.return_value = CompletionResult(
        text=fenced,
        input_tokens=200,
        output_tokens=80,
        tier=ModelTier.C,
        model="qwen",
    )
    agent = HypothesisAgent(llm=fake_llm)
    proposal = agent.propose(make_genome(), make_summary())
    assert proposal.strategy is not None


def test_hypothesis_agent_returns_error_on_invalid_strategy(mocker):  # type: ignore[no-untyped-def]
    bad = json.dumps(
        {
            "rules": [
                {
                    "condition": {
                        "op": "gt",
                        "args": [
                            {"kind": "indicator", "name": "wibble", "params": [14]},
                            {"kind": "literal", "value": 70.0},
                        ],
                    },
                    "action": "entry-short",
                }
            ]
        }
    )
    fake_llm = mocker.MagicMock()
    fake_llm.complete.return_value = CompletionResult(
        text=bad,
        input_tokens=200,
        output_tokens=80,
        tier=ModelTier.C,
        model="qwen",
    )
    agent = HypothesisAgent(llm=fake_llm, max_retries=0)
    proposal = agent.propose(make_genome(), make_summary())
    assert proposal.strategy is None
    assert proposal.parse_error is not None
    assert "wibble" in proposal.parse_error or "unknown" in proposal.parse_error


def test_hypothesis_agent_retries_on_parse_error_and_succeeds(mocker):  # type: ignore[no-untyped-def]
    """Primo output malformato → secondo output valido → strategia accettata."""
    fake_llm = mocker.MagicMock()
    fake_llm.complete.side_effect = [
        CompletionResult(
            text="this is not JSON at all",
            input_tokens=200,
            output_tokens=80,
            tier=ModelTier.C,
            model="qwen",
        ),
        CompletionResult(
            text="```json\n" + VALID_STRATEGY_JSON + "\n```",
            input_tokens=300,
            output_tokens=120,
            tier=ModelTier.C,
            model="qwen",
        ),
    ]
    agent = HypothesisAgent(llm=fake_llm, max_retries=1)
    proposal = agent.propose(make_genome(), make_summary())
    assert proposal.strategy is not None
    assert proposal.n_attempts == 2
    assert len(proposal.completions) == 2
    assert proposal.completions[0].input_tokens == 200
    assert proposal.completions[1].input_tokens == 300
    assert fake_llm.complete.call_count == 2
    # Il secondo prompt user deve contenere il marker corrective.
    second_call_kwargs = fake_llm.complete.call_args_list[1].kwargs
    assert "TENTATIVO PRECEDENTE FALLITO" in second_call_kwargs["user"]
    assert "this is not JSON at all" in second_call_kwargs["user"]


def test_hypothesis_agent_gives_up_after_max_retries(mocker):  # type: ignore[no-untyped-def]
    """Entrambi i tentativi falliscono → strategy None, errori concatenati."""
    fake_llm = mocker.MagicMock()
    fake_llm.complete.side_effect = [
        CompletionResult(
            text="garbage attempt 1",
            input_tokens=200,
            output_tokens=50,
            tier=ModelTier.C,
            model="qwen",
        ),
        CompletionResult(
            text="garbage attempt 2",
            input_tokens=250,
            output_tokens=60,
            tier=ModelTier.C,
            model="qwen",
        ),
    ]
    agent = HypothesisAgent(llm=fake_llm, max_retries=1)
    proposal = agent.propose(make_genome(), make_summary())
    assert proposal.strategy is None
    assert proposal.n_attempts == 2
    assert len(proposal.completions) == 2
    assert fake_llm.complete.call_count == 2
    assert proposal.parse_error is not None
    assert "attempt 1" in proposal.parse_error
    assert "attempt 2" in proposal.parse_error
    # raw_text deve riflettere l'ULTIMO output (non il primo).
    assert proposal.raw_text == "garbage attempt 2"


def test_hypothesis_agent_no_retry_when_first_succeeds(mocker):  # type: ignore[no-untyped-def]
    """Primo tentativo OK → nessun retry, anche con max_retries=1 di default."""
    fake_llm = mocker.MagicMock()
    fake_llm.complete.return_value = CompletionResult(
        text=VALID_STRATEGY_JSON,
        input_tokens=200,
        output_tokens=80,
        tier=ModelTier.C,
        model="qwen",
    )
    agent = HypothesisAgent(llm=fake_llm)  # default max_retries=1
    proposal = agent.propose(make_genome(), make_summary())
    assert proposal.strategy is not None
    assert proposal.n_attempts == 1
    assert len(proposal.completions) == 1
    assert fake_llm.complete.call_count == 1