Files
crewAI/lib/cli/tests/test_input_prompt.py
Joao Moura ae05160f48 fix(cli): filter unknown --inputs keys even on flow persistence restore
Review follow-up: the `id` (persistence-restore) branch of
_resolve_flow_inputs returned the raw payload, so typo keys passed alongside
`id` skipped the unknown-key warning/drop and reached kickoff — which can
fail strict (extra="forbid") flow state models. The restore path now still
warns on and drops unknown keys (keeping `id` and known state fields); it
only skips the required-field prompt and pre-kickoff validation, which
persistence hydrates. Regression test: test_id_restore_still_drops_unknown_keys.

Also drop the duplicate module import in test_input_prompt.py (both `import`
and `from ... import` of crewai_cli.input_prompt) flagged by the code-quality
bot; monkeypatching now uses the string target form.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RBYGqJHC2TMC6fonFziuuh
2026-07-07 14:03:04 -07:00

83 lines
2.3 KiB
Python

"""Tests for the shared runtime-input prompting used by flows and crews."""
from __future__ import annotations
import pytest
from crewai_cli.input_prompt import (
closest_name,
parse_inputs_json,
prompt_for_inputs,
)
def test_parse_inputs_json_returns_none_for_none():
assert parse_inputs_json(None) is None
def test_parse_inputs_json_parses_object():
assert parse_inputs_json('{"topic": "AI"}') == {"topic": "AI"}
def test_parse_inputs_json_rejects_invalid_json(capsys):
with pytest.raises(SystemExit) as exc_info:
parse_inputs_json("not json")
assert exc_info.value.code == 1
assert "Invalid --inputs JSON" in capsys.readouterr().err
def test_parse_inputs_json_rejects_non_object(capsys):
with pytest.raises(SystemExit) as exc_info:
parse_inputs_json("[1, 2, 3]")
assert exc_info.value.code == 1
assert "expected an object" in capsys.readouterr().err
def test_closest_name_suggests_near_miss():
assert closest_name("prospect_emai", ["prospect_email", "topic"]) == "prospect_email"
def test_closest_name_returns_none_when_nothing_close():
assert closest_name("zzzzz", ["prospect_email", "topic"]) is None
def test_prompt_for_inputs_uses_describe_and_coerce(monkeypatch, capsys):
seen: list[str] = []
def fake_prompt(text: str, **kwargs: object) -> str:
seen.append(text)
return "42"
monkeypatch.setattr("crewai_cli.input_prompt.click.prompt", fake_prompt)
result = prompt_for_inputs(
["count"],
title="Flow inputs",
subtitle="This flow needs the following to run.",
describe=lambda name: f"How many {name}?",
coerce=lambda name, raw: int(raw),
)
captured = capsys.readouterr()
assert result == {"count": 42}
assert any("count" in text for text in seen)
# Header, subtitle, and description hint all render on stderr.
assert "Flow inputs" in captured.err
assert "How many count?" in captured.err
def test_prompt_for_inputs_keeps_raw_string_without_coerce(monkeypatch):
monkeypatch.setattr(
"crewai_cli.input_prompt.click.prompt", lambda text, **kwargs: "AI"
)
result = prompt_for_inputs(
["topic"],
title="Crew inputs",
subtitle="This crew needs the following to run.",
)
assert result == {"topic": "AI"}