crewAI/lib/cli/tests/test_run_declarative_flow.py

from __future__ import annotations

import os
from pathlib import Path
from typing import Any
from types import SimpleNamespace

import pytest

import crewai_cli.input_prompt as input_prompt_module
import crewai_cli.run_declarative_flow as run_declarative_flow_module


@pytest.fixture(autouse=True)
def _headless_by_default(monkeypatch: pytest.MonkeyPatch) -> None:
    """Default these tests to the headless/terminal path.

    ``run_declarative_flow`` now launches the TUI when interactive, which can't
    run under pytest; tests here assert the terminal/headless contract. Tests
    that exercise TUI routing override ``is_dmn_mode_enabled`` explicitly.
    """
    monkeypatch.setenv("CREWAI_DMN", "true")


FLOW_YAML = """\
schema: crewai.flow/v1
name: TestFlow
config:
  suppress_flow_events: true
methods:
  begin:
    start: true
    do:
      call: expression
      expr: state.topic
"""


def test_run_declarative_flow_reads_definition_file(
    tmp_path: Path, capsys: pytest.CaptureFixture[str]
) -> None:
    definition_path = tmp_path / "flow.yaml"
    definition_path.write_text(FLOW_YAML, encoding="utf-8")

    run_declarative_flow_module.run_declarative_flow(
        str(definition_path), '{"topic":"AI"}'
    )

    assert capsys.readouterr().out == "AI\n"


def test_run_declarative_flow_rejects_non_object_inputs(
    tmp_path: Path, capsys: pytest.CaptureFixture[str]
) -> None:
    definition_path = tmp_path / "flow.yaml"
    definition_path.write_text(FLOW_YAML, encoding="utf-8")

    with pytest.raises(SystemExit):
        run_declarative_flow_module.run_declarative_flow(
            str(definition_path), '["not", "an", "object"]'
        )

    assert "Invalid --inputs JSON: expected an object." in capsys.readouterr().err


def test_run_declarative_flow_reports_missing_file(
    capsys: pytest.CaptureFixture[str],
) -> None:
    with pytest.raises(SystemExit):
        run_declarative_flow_module.run_declarative_flow("missing-flow.yaml")

    assert (
        "Invalid --definition path: missing-flow.yaml does not exist."
        in capsys.readouterr().err
    )


def test_run_declarative_flow_reports_empty_file(
    tmp_path: Path, capsys: pytest.CaptureFixture[str]
) -> None:
    definition_path = tmp_path / "flow.yaml"
    definition_path.write_text(" \n", encoding="utf-8")

    with pytest.raises(SystemExit):
        run_declarative_flow_module.run_declarative_flow(str(definition_path))

    assert "Flow declaration file is empty" in capsys.readouterr().err


@pytest.mark.parametrize(
    "contents, expected_error",
    [
        ("[]\n", "Flow declaration must contain a mapping"),
        ("schema: crewai.flow/v1\nmethods: {}\n", "Field required"),
    ],
)
def test_load_declarative_flow_reports_invalid_declarations(
    tmp_path: Path,
    capsys: pytest.CaptureFixture[str],
    contents: str,
    expected_error: str,
) -> None:
    definition_path = tmp_path / "flow.yaml"
    definition_path.write_text(contents, encoding="utf-8")

    with pytest.raises(SystemExit) as exc_info:
        run_declarative_flow_module.load_declarative_flow(str(definition_path))

    assert exc_info.value.code == 1
    stderr = capsys.readouterr().err
    assert f"Unable to read --definition path {definition_path}:" in stderr
    assert expected_error in stderr


def test_run_declarative_flow_in_project_env_uses_uv(
    monkeypatch: pytest.MonkeyPatch, tmp_path: Path
) -> None:
    subprocess_calls = []

    monkeypatch.chdir(tmp_path)
    monkeypatch.delenv("UV_RUN_RECURSION_DEPTH", raising=False)
    (tmp_path / "pyproject.toml").write_text("[project]\nname = 'demo'\n")
    monkeypatch.setattr(
        run_declarative_flow_module,
        "build_env_with_all_tool_credentials",
        lambda: {"EXISTING": "value"},
    )
    monkeypatch.setattr(
        run_declarative_flow_module.subprocess,
        "run",
        lambda command, **kwargs: subprocess_calls.append((command, kwargs)),
    )

    run_declarative_flow_module.run_declarative_flow_in_project_env("flow.yaml")

    assert subprocess_calls == [
        (
            ["uv", "run", "crewai", "run"],
            {
                "capture_output": False,
                "text": True,
                "check": True,
                "env": {"EXISTING": "value"},
            },
        )
    ]


def test_run_declarative_flow_in_process_inside_uv(
    monkeypatch: pytest.MonkeyPatch,
    tmp_path: Path,
    capsys: pytest.CaptureFixture[str],
) -> None:
    monkeypatch.chdir(tmp_path)
    monkeypatch.setenv("UV_RUN_RECURSION_DEPTH", "1")
    (tmp_path / "pyproject.toml").write_text("[project]\nname = 'demo'\n")
    (tmp_path / "flow.yaml").write_text(FLOW_YAML, encoding="utf-8")

    run_declarative_flow_module.run_declarative_flow_in_project_env(
        "flow.yaml", '{"topic":"AI"}'
    )

    assert capsys.readouterr().out == "AI\n"


def test_run_declarative_flow_in_project_env_forwards_inputs(
    monkeypatch: pytest.MonkeyPatch, tmp_path: Path
) -> None:
    subprocess_calls = []
    monkeypatch.chdir(tmp_path)
    monkeypatch.delenv("UV_RUN_RECURSION_DEPTH", raising=False)
    (tmp_path / "pyproject.toml").write_text("[project]\nname = 'demo'\n")
    monkeypatch.setattr(
        run_declarative_flow_module,
        "build_env_with_all_tool_credentials",
        lambda: {},
    )
    monkeypatch.setattr(
        run_declarative_flow_module.subprocess,
        "run",
        lambda command, **kwargs: subprocess_calls.append(command),
    )

    run_declarative_flow_module.run_declarative_flow_in_project_env(
        "flow.yaml", '{"topic":"AI"}'
    )

    # --inputs is forwarded to the in-env run instead of being rejected.
    assert subprocess_calls == [
        ["uv", "run", "crewai", "run", "--inputs", '{"topic":"AI"}']
    ]


# ── Schema-driven inputs: prompt, validate, override ────────────────

REQUIRED_FLOW_YAML = """\
schema: crewai.flow/v1
name: RequiredInputFlow
config:
  suppress_flow_events: true
state:
  type: json_schema
  json_schema:
    type: object
    properties:
      prospect_email:
        type: string
        description: Email address of the prospect to research
    required: [prospect_email]
methods:
  begin:
    start: true
    do:
      call: expression
      expr: state.prospect_email
"""

DEFAULTS_FLOW_YAML = """\
schema: crewai.flow/v1
name: DefaultsFlow
config:
  suppress_flow_events: true
state:
  type: json_schema
  json_schema:
    type: object
    properties:
      topic: {type: string}
      audience: {type: string}
    required: [topic, audience]
  default:
    topic: AI
methods:
  begin:
    start: true
    do:
      call: expression
      expr: state.audience
"""

TYPED_FLOW_YAML = """\
schema: crewai.flow/v1
name: TypedFlow
config:
  suppress_flow_events: true
state:
  type: json_schema
  json_schema:
    type: object
    properties:
      count: {type: integer}
    required: [count]
methods:
  begin:
    start: true
    do:
      call: expression
      expr: state.count
"""


def _write(tmp_path: Path, contents: str) -> Path:
    path = tmp_path / "flow.yaml"
    path.write_text(contents, encoding="utf-8")
    return path


def test_inputs_flag_satisfies_required_field(
    tmp_path: Path, capsys: pytest.CaptureFixture[str]
) -> None:
    path = _write(tmp_path, REQUIRED_FLOW_YAML)

    run_declarative_flow_module.run_declarative_flow(
        str(path), '{"prospect_email":"a@b.com"}'
    )

    assert capsys.readouterr().out == "a@b.com\n"


def test_missing_required_reports_pointed_error(
    tmp_path: Path, capsys: pytest.CaptureFixture[str], monkeypatch: pytest.MonkeyPatch
) -> None:
    monkeypatch.setattr(run_declarative_flow_module, "_is_interactive", lambda: False)
    path = _write(tmp_path, REQUIRED_FLOW_YAML)

    with pytest.raises(SystemExit):
        run_declarative_flow_module.run_declarative_flow(str(path))

    assert (
        "Missing required input 'prospect_email' — "
        "Email address of the prospect to research" in capsys.readouterr().err
    )


def test_prompts_for_missing_required_when_interactive(
    tmp_path: Path, capsys: pytest.CaptureFixture[str], monkeypatch: pytest.MonkeyPatch
) -> None:
    path = _write(tmp_path, REQUIRED_FLOW_YAML)
    monkeypatch.setattr(run_declarative_flow_module, "_is_interactive", lambda: True)
    prompted: list[str] = []

    def fake_prompt(text: str, **kwargs: object) -> str:
        prompted.append(text)
        return "typed@example.com"

    monkeypatch.setattr(input_prompt_module.click, "prompt", fake_prompt)

    run_declarative_flow_module.run_declarative_flow(str(path))

    assert capsys.readouterr().out == "typed@example.com\n"
    assert any("prospect_email" in text for text in prompted)


def test_defaults_satisfy_required_and_are_not_prompted(
    tmp_path: Path, capsys: pytest.CaptureFixture[str], monkeypatch: pytest.MonkeyPatch
) -> None:
    monkeypatch.setattr(run_declarative_flow_module, "_is_interactive", lambda: False)
    path = _write(tmp_path, DEFAULTS_FLOW_YAML)

    with pytest.raises(SystemExit):
        run_declarative_flow_module.run_declarative_flow(str(path))

    err = capsys.readouterr().err
    # topic has a state default -> satisfied; only audience is missing.
    assert "Missing required input 'audience'" in err
    assert "'topic'" not in err


def test_warns_on_unknown_input_with_suggestion(
    tmp_path: Path, capsys: pytest.CaptureFixture[str]
) -> None:
    path = _write(tmp_path, REQUIRED_FLOW_YAML)

    run_declarative_flow_module.run_declarative_flow(
        str(path), '{"prospect_email":"a@b.com","prospect_emai":"typo"}'
    )

    captured = capsys.readouterr()
    assert captured.out == "a@b.com\n"
    assert "Ignoring unknown input 'prospect_emai'" in captured.err
    assert "Did you mean 'prospect_email'?" in captured.err


def test_validates_input_types_before_kickoff(
    tmp_path: Path, capsys: pytest.CaptureFixture[str]
) -> None:
    path = _write(tmp_path, TYPED_FLOW_YAML)

    with pytest.raises(SystemExit):
        run_declarative_flow_module.run_declarative_flow(str(path), '{"count":"nope"}')

    assert "Invalid input 'count'" in capsys.readouterr().err


def test_reserved_id_input_is_forwarded_not_dropped(
    tmp_path: Path, capsys: pytest.CaptureFixture[str]
) -> None:
    # `id` is a reserved kickoff key (persistence restore); it must pass through
    # instead of being flagged as an unknown key and dropped.
    path = _write(tmp_path, REQUIRED_FLOW_YAML)

    run_declarative_flow_module.run_declarative_flow(
        str(path), '{"id":"run-123","prospect_email":"a@b.com"}'
    )

    captured = capsys.readouterr()
    assert captured.out == "a@b.com\n"
    assert "Ignoring unknown input 'id'" not in captured.err


def test_run_declarative_flow_loads_project_env(
    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
    # Flow projects must pick up the project's .env, like crew projects do,
    # overriding any pre-existing value.
    monkeypatch.chdir(tmp_path)
    monkeypatch.setenv("DECL_FLOW_ENV_PROBE", "old")
    (tmp_path / ".env").write_text("DECL_FLOW_ENV_PROBE=from_dotenv\n", encoding="utf-8")
    path = _write(tmp_path, REQUIRED_FLOW_YAML)

    run_declarative_flow_module.run_declarative_flow(
        str(path), '{"prospect_email":"a@b.com"}'
    )

    assert os.environ["DECL_FLOW_ENV_PROBE"] == "from_dotenv"


def test_id_only_input_skips_required_validation(tmp_path: Path) -> None:
    # Resume via `crewai run --inputs '{"id":"..."}'` must not be blocked by the
    # required-field check: kickoff hydrates required state from persistence.
    path = _write(tmp_path, REQUIRED_FLOW_YAML)
    flow = run_declarative_flow_module.load_declarative_flow(str(path))

    resolved = run_declarative_flow_module._resolve_flow_inputs(flow, {"id": "run-123"})

    assert resolved == {"id": "run-123"}


def test_id_restore_still_drops_unknown_keys(
    tmp_path: Path, capsys: pytest.CaptureFixture[str]
) -> None:
    # A persistence restore (`id` present) still filters typo keys so they don't
    # reach kickoff and trip strict (extra="forbid") state models — it only
    # skips the required-field prompt/validation, not the unknown-key warning.
    path = _write(tmp_path, REQUIRED_FLOW_YAML)
    flow = run_declarative_flow_module.load_declarative_flow(str(path))

    resolved = run_declarative_flow_module._resolve_flow_inputs(
        flow, {"id": "run-123", "prospect_emai": "typo"}
    )

    captured = capsys.readouterr()
    assert resolved == {"id": "run-123"}  # id kept, typo dropped
    assert "Ignoring unknown input 'prospect_emai'" in captured.err
    assert "Ignoring unknown input 'id'" not in captured.err


# ── TUI vs terminal (headless/deploy) routing ──────────────────────


def _install_fake_flow_app(monkeypatch, *, status, want_deploy=False, evaluation=None):
    """Replace CrewRunApp/EventListener/summary so _run_declarative_flow_tui is
    driven by a controllable fake app."""

    class FakeEventListener:
        pass

    class FakeApp:
        def __init__(self, crew_name=""):
            self._crew_name = crew_name
            self._status = status
            self._want_deploy = want_deploy
            self._evaluation = evaluation
            self._crew_result = "result"

        def run(self):
            pass

    monkeypatch.setattr(
        "crewai.events.event_listener.EventListener", FakeEventListener
    )
    monkeypatch.setattr("crewai_cli.crew_run_tui.CrewRunApp", FakeApp)
    monkeypatch.setattr(
        run_declarative_flow_module, "_print_flow_post_tui_summary", lambda app: None
    )


def test_run_declarative_flow_dmn_uses_terminal(
    tmp_path: Path, capsys: pytest.CaptureFixture[str], monkeypatch: pytest.MonkeyPatch
) -> None:
    monkeypatch.setenv("CREWAI_DMN", "true")
    monkeypatch.setattr(
        run_declarative_flow_module,
        "_run_declarative_flow_tui",
        lambda *a, **k: pytest.fail("DMN/headless mode must not launch the TUI"),
    )
    path = _write(tmp_path, REQUIRED_FLOW_YAML)

    run_declarative_flow_module.run_declarative_flow(
        str(path), '{"prospect_email":"a@b.com"}'
    )

    assert capsys.readouterr().out == "a@b.com\n"


def test_run_declarative_flow_interactive_uses_tui(
    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
    monkeypatch.setattr(run_declarative_flow_module, "is_interactive", lambda: True)
    captured: dict[str, object] = {}
    monkeypatch.setattr(
        run_declarative_flow_module,
        "_run_declarative_flow_tui",
        lambda flow, resolved: captured.update(flow=flow, inputs=resolved),
    )
    path = _write(tmp_path, REQUIRED_FLOW_YAML)

    run_declarative_flow_module.run_declarative_flow(
        str(path), '{"prospect_email":"a@b.com"}'
    )

    assert captured["inputs"] == {"prospect_email": "a@b.com"}
    assert captured["flow"] is not None


def test_run_declarative_flow_tui_failed_exits_nonzero(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    _install_fake_flow_app(monkeypatch, status="failed")

    with pytest.raises(SystemExit) as exc_info:
        run_declarative_flow_module._run_declarative_flow_tui(
            SimpleNamespace(name="Flow"), None
        )

    assert exc_info.value.code == 1


def test_run_declarative_flow_tui_user_quit_exits_130(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    _install_fake_flow_app(monkeypatch, status="chatting")
    exit_calls: list[int] = []
    monkeypatch.setattr(os, "_exit", lambda code: exit_calls.append(code))

    run_declarative_flow_module._run_declarative_flow_tui(
        SimpleNamespace(name="Flow"), None
    )

    assert exit_calls == [130]


def test_run_declarative_flow_tui_chains_deploy(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    _install_fake_flow_app(monkeypatch, status="completed", want_deploy=True)
    deploy_calls: list[bool] = []
    monkeypatch.setattr(
        "crewai_cli.run_crew._chain_deploy", lambda: deploy_calls.append(True)
    )

    run_declarative_flow_module._run_declarative_flow_tui(
        SimpleNamespace(name="Flow"), None
    )

    assert deploy_calls == [True]


def test_run_declarative_flow_tui_no_deploy_when_not_requested(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    _install_fake_flow_app(monkeypatch, status="completed", want_deploy=False)
    deploy_calls: list[bool] = []
    monkeypatch.setattr(
        "crewai_cli.run_crew._chain_deploy", lambda: deploy_calls.append(True)
    )

    run_declarative_flow_module._run_declarative_flow_tui(
        SimpleNamespace(name="Flow"), None
    )

    assert deploy_calls == []


def test_run_declarative_flow_tui_leaves_the_report_link_behind(capsys) -> None:
    """A declarative flow evaluates inside the app like a crew does. What the
    terminal is for is afterwards: the link, once the screen that held it is
    gone."""
    app = SimpleNamespace(
        _crew_name="Flow",
        _status="completed",
        _elapsed_frozen=1.0,
        _start_time=0.0,
        _input_tokens=0,
        _output_tokens=0,
        _live_out_tokens=0,
        _final_output=None,
        _error=None,
        _evaluation={
            "state": "done",
            "url": "https://optimize.example/e/1",
            "verdict": {"gate": "passed"},
        },
    )

    run_declarative_flow_module._print_flow_post_tui_summary(app)

    printed = capsys.readouterr().out
    assert "goal gate PASSED" in printed
    assert "https://optimize.example/e/1" in printed


def test_run_declarative_flow_tui_enables_flow_events(
    monkeypatch: pytest.MonkeyPatch,
) -> None:
    # The STEPS panel depends on flow method events; a flow that declared
    # suppress_flow_events must have it forced off for the interactive TUI run.
    _install_fake_flow_app(monkeypatch, status="completed")
    flow = SimpleNamespace(name="Flow", suppress_flow_events=True)

    run_declarative_flow_module._run_declarative_flow_tui(flow, None)

    assert flow.suppress_flow_events is False


def test_flow_uses_human_feedback_detection() -> None:
    hf_flow = SimpleNamespace(
        _definition=SimpleNamespace(
            methods={
                "ask": SimpleNamespace(human_feedback=SimpleNamespace(emit=None)),
                "plain": SimpleNamespace(human_feedback=None),
            }
        )
    )
    assert run_declarative_flow_module._flow_uses_human_feedback(hf_flow) is True

    no_hf = SimpleNamespace(
        _definition=SimpleNamespace(
            methods={"a": SimpleNamespace(human_feedback=None)}
        )
    )
    assert run_declarative_flow_module._flow_uses_human_feedback(no_hf) is False
    # No definition → False, no error.
    assert run_declarative_flow_module._flow_uses_human_feedback(SimpleNamespace()) is False


def test_human_feedback_flow_uses_terminal_even_when_interactive(
    tmp_path: Path, capsys: pytest.CaptureFixture[str], monkeypatch: pytest.MonkeyPatch
) -> None:
    # A human-feedback flow must run on the terminal (blocking input / Rich
    # prompts) even in an interactive session, never on the TUI.
    monkeypatch.setattr(run_declarative_flow_module, "is_interactive", lambda: True)
    monkeypatch.setattr(
        run_declarative_flow_module, "_flow_uses_human_feedback", lambda flow: True
    )
    monkeypatch.setattr(
        run_declarative_flow_module,
        "_run_declarative_flow_tui",
        lambda *a, **k: pytest.fail("human-feedback flow must run on the terminal"),
    )
    path = _write(tmp_path, FLOW_YAML)

    run_declarative_flow_module.run_declarative_flow(str(path), '{"topic":"AI"}')

    assert capsys.readouterr().out == "AI\n"


def test_flow_method_types_from_definition() -> None:
    flow = SimpleNamespace(
        _definition=SimpleNamespace(
            methods={
                "fetch": SimpleNamespace(do=SimpleNamespace(call="expression")),
                "research": SimpleNamespace(do=SimpleNamespace(call="crew")),
            }
        )
    )

    assert run_declarative_flow_module._flow_method_types(flow) == {
        "fetch": "expression",
        "research": "crew",
    }
    # No definition → empty map, no error.
    assert run_declarative_flow_module._flow_method_types(SimpleNamespace()) == {}


CONVERSATIONAL_FLOW_YAML = """schema: crewai.flow/v1
name: SupportFlow
conversational:
  llm: gpt-4o-mini
methods:
  handle_order:
    description: Order status questions.
    listen: order
    do:
      call: expression
      expr: "'shipped'"
"""


def test_run_declarative_flow_opens_the_conversational_tui(
    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
    """A declarative chat flow gets the same TUI a Python one does."""
    definition_path = tmp_path / "flow.yaml"
    definition_path.write_text(CONVERSATIONAL_FLOW_YAML, encoding="utf-8")

    launched: list[Any] = []
    monkeypatch.setattr(run_declarative_flow_module, "is_interactive", lambda: True)
    monkeypatch.setattr(
        "crewai_cli.kickoff_flow._run_conversational_flow_tui", launched.append
    )

    run_declarative_flow_module.run_declarative_flow(str(definition_path))

    assert len(launched) == 1
    assert launched[0]._is_conversational_enabled() is True


def test_conversational_flow_does_not_take_the_steps_tui(
    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
    """The STEPS TUI renders method progress and cannot drive a chat turn."""
    definition_path = tmp_path / "flow.yaml"
    definition_path.write_text(CONVERSATIONAL_FLOW_YAML, encoding="utf-8")

    monkeypatch.setattr(run_declarative_flow_module, "is_interactive", lambda: True)
    monkeypatch.setattr(
        "crewai_cli.kickoff_flow._run_conversational_flow_tui", lambda flow: None
    )
    monkeypatch.setattr(
        run_declarative_flow_module,
        "_run_declarative_flow_tui",
        lambda *a, **k: pytest.fail("conversational flow reached the STEPS TUI"),
    )

    run_declarative_flow_module.run_declarative_flow(str(definition_path))


def test_conversational_flow_rejects_inputs(
    tmp_path: Path, capsys: pytest.CaptureFixture[str], monkeypatch: pytest.MonkeyPatch
) -> None:
    """`--inputs` has nowhere to go: handle_turn owns the kickoff inputs."""
    definition_path = tmp_path / "flow.yaml"
    definition_path.write_text(CONVERSATIONAL_FLOW_YAML, encoding="utf-8")

    monkeypatch.setattr(run_declarative_flow_module, "is_interactive", lambda: True)
    monkeypatch.setattr(
        "crewai_cli.kickoff_flow._run_conversational_flow_tui",
        lambda flow: pytest.fail("should have rejected --inputs before the TUI"),
    )

    with pytest.raises(SystemExit) as exc_info:
        run_declarative_flow_module.run_declarative_flow(
            str(definition_path), '{"topic": "AI"}'
        )

    assert exc_info.value.code == 1
    err = capsys.readouterr().err
    assert "`--inputs` is not supported for a conversational flow" in err
    assert "session_id" in err


def test_conversational_flow_rejects_an_empty_inputs_object(
    tmp_path: Path, capsys: pytest.CaptureFixture[str], monkeypatch: pytest.MonkeyPatch
) -> None:
    """`--inputs '{}'` asked for something unsupported; answer it, don't ignore it."""
    definition_path = tmp_path / "flow.yaml"
    definition_path.write_text(CONVERSATIONAL_FLOW_YAML, encoding="utf-8")

    monkeypatch.setattr(run_declarative_flow_module, "is_interactive", lambda: True)
    monkeypatch.setattr(
        "crewai_cli.kickoff_flow._run_conversational_flow_tui",
        lambda flow: pytest.fail("an empty --inputs object still passed --inputs"),
    )

    with pytest.raises(SystemExit) as exc_info:
        run_declarative_flow_module.run_declarative_flow(str(definition_path), "{}")

    assert exc_info.value.code == 1
    assert (
        "`--inputs` is not supported for a conversational flow"
        in capsys.readouterr().err
    )


def test_conversational_flow_without_inputs_still_opens_the_tui(
    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
    definition_path = tmp_path / "flow.yaml"
    definition_path.write_text(CONVERSATIONAL_FLOW_YAML, encoding="utf-8")

    launched: list[Any] = []
    monkeypatch.setattr(run_declarative_flow_module, "is_interactive", lambda: True)
    monkeypatch.setattr(
        "crewai_cli.kickoff_flow._run_conversational_flow_tui", launched.append
    )

    run_declarative_flow_module.run_declarative_flow(str(definition_path), None)

    assert len(launched) == 1


def test_conversational_human_feedback_flow_avoids_the_tui(
    tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
    """Textual cannot service the runtime's blocking feedback prompt.

    The STEPS TUI already declines these for that reason; a conversational one
    must too, or the prompt is never shown and the run hangs.
    """
    definition_path = tmp_path / "flow.yaml"
    definition_path.write_text(
        CONVERSATIONAL_FLOW_YAML.replace(
            "    listen: order\n",
            "    listen: order\n    human_feedback:\n      message: Approve?\n",
        ),
        encoding="utf-8",
    )

    chatted: list[str] = []
    monkeypatch.setattr(run_declarative_flow_module, "is_interactive", lambda: True)
    monkeypatch.setattr(
        "crewai_cli.kickoff_flow._run_conversational_flow_tui",
        lambda flow: pytest.fail("human-feedback flow reached the Textual TUI"),
    )
    monkeypatch.setattr(
        "crewai.flow.flow.Flow.chat", lambda self, **kw: chatted.append("repl")
    )

    run_declarative_flow_module.run_declarative_flow(str(definition_path))

    assert chatted == ["repl"]


def test_conversational_flow_headless_explains_instead_of_one_turn(
    tmp_path: Path, capsys: pytest.CaptureFixture[str], monkeypatch: pytest.MonkeyPatch
) -> None:
    definition_path = tmp_path / "flow.yaml"
    definition_path.write_text(CONVERSATIONAL_FLOW_YAML, encoding="utf-8")

    monkeypatch.setattr(run_declarative_flow_module, "is_interactive", lambda: False)

    with pytest.raises(SystemExit) as exc_info:
        run_declarative_flow_module.run_declarative_flow(str(definition_path))

    assert exc_info.value.code == 1
    err = capsys.readouterr().err
    assert "needs an interactive terminal" in err
    assert "handle_turn" in err


def test_run_declarative_flow_still_runs_a_disabled_conversational_flow(
    tmp_path: Path, capsys: pytest.CaptureFixture[str]
) -> None:
    definition_path = tmp_path / "flow.yaml"
    definition_path.write_text(
        CONVERSATIONAL_FLOW_YAML.replace(
            "conversational:\n  llm: gpt-4o-mini",
            "conversational:\n  enabled: false",
        ).replace("    listen: order\n", "    start: true\n"),
        encoding="utf-8",
    )

    run_declarative_flow_module.run_declarative_flow(str(definition_path))

    assert capsys.readouterr().out == "shipped\n"