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138 lines
4.0 KiB
Python
138 lines
4.0 KiB
Python
"""Tests for the shared runtime-input prompting used by flows and crews."""
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from __future__ import annotations
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import json
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import os
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import subprocess
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import sys
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import pytest
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from crewai_cli.input_prompt import (
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closest_name,
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parse_inputs_json,
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prompt_for_inputs,
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)
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def test_parse_inputs_json_returns_none_for_none():
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assert parse_inputs_json(None) is None
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def test_parse_inputs_json_parses_object():
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assert parse_inputs_json('{"topic": "AI"}') == {"topic": "AI"}
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def test_parse_inputs_json_rejects_invalid_json(capsys):
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with pytest.raises(SystemExit) as exc_info:
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parse_inputs_json("not json")
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assert exc_info.value.code == 1
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assert "Invalid --inputs JSON" in capsys.readouterr().err
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def test_parse_inputs_json_rejects_non_object(capsys):
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with pytest.raises(SystemExit) as exc_info:
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parse_inputs_json("[1, 2, 3]")
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assert exc_info.value.code == 1
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assert "expected an object" in capsys.readouterr().err
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def test_closest_name_suggests_near_miss():
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assert (
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closest_name("prospect_emai", ["prospect_email", "topic"]) == "prospect_email"
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)
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def test_closest_name_returns_none_when_nothing_close():
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assert closest_name("zzzzz", ["prospect_email", "topic"]) is None
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def test_prompt_for_inputs_uses_describe_and_coerce(monkeypatch, capsys):
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seen: list[str] = []
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def fake_prompt(text: str, **kwargs: object) -> str:
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seen.append(text)
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return "42"
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monkeypatch.setattr("crewai_cli.input_prompt.click.prompt", fake_prompt)
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result = prompt_for_inputs(
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["count"],
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title="Flow inputs",
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subtitle="This flow needs the following to run.",
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describe=lambda name: f"How many {name}?",
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coerce=lambda name, raw: int(raw),
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)
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captured = capsys.readouterr()
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assert result == {"count": 42}
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assert any("count" in text for text in seen)
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# Header, subtitle, and description hint all render on stderr.
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assert "Flow inputs" in captured.err
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assert "How many count?" in captured.err
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def test_prompt_for_inputs_keeps_raw_string_without_coerce(monkeypatch):
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monkeypatch.setattr(
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"crewai_cli.input_prompt.click.prompt", lambda text, **kwargs: "AI"
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)
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result = prompt_for_inputs(
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["topic"],
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title="Crew inputs",
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subtitle="This crew needs the following to run.",
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)
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assert result == {"topic": "AI"}
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@pytest.mark.parametrize(
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("names", "input_text", "expected"),
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[
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(["topic"], "AI\n", {"topic": "AI"}),
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(["count", "topic"], "42\n研究\n", {"count": 42, "topic": "研究"}),
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(["topic"], "", None),
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],
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ids=["single-input", "multiple-inputs", "abort"],
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)
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def test_prompt_for_inputs_keeps_prompt_chrome_on_stderr(
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names: list[str], input_text: str, expected: dict[str, str | int] | None
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) -> None:
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"""Real Click prompts must leave stdout available for serialized results."""
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script = (
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"import json\n"
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"import click\n"
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"from crewai_cli.input_prompt import prompt_for_inputs\n"
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f"names = {names!r}\n"
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"try:\n"
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" result = prompt_for_inputs(\n"
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" names, title='Runtime inputs', subtitle='Required values',\n"
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" describe=lambda name: f'Value for {name}',\n"
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" coerce=lambda name, raw: int(raw) if name == 'count' else raw,\n"
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" )\n"
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"except click.Abort:\n"
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" result = None\n"
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"print(json.dumps(result, ensure_ascii=False))\n"
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)
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result = subprocess.run(
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[sys.executable, "-c", script],
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input=input_text,
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capture_output=True,
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text=True,
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encoding="utf-8",
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env={**os.environ, "PYTHONIOENCODING": "utf-8"},
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check=False,
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timeout=20,
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)
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assert result.returncode == 0, result.stderr
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assert result.stdout == json.dumps(expected, ensure_ascii=False) + "\n"
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assert "Runtime inputs" in result.stderr
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assert "Required values" in result.stderr
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for name in names:
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assert f"Value for {name}" in result.stderr
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assert f"{name} > " in result.stderr
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