File size: 4,299 Bytes
b5b9c2e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 | """Tests for /compress <focus> — guided compression with focus topic.
Inspired by Claude Code's /compact <focus> feature.
"""
from unittest.mock import MagicMock, patch
from tests.cli.test_cli_init import _make_cli
def _make_history() -> list[dict[str, str]]:
return [
{"role": "user", "content": "one"},
{"role": "assistant", "content": "two"},
{"role": "user", "content": "three"},
{"role": "assistant", "content": "four"},
]
def test_focus_topic_extracted_and_passed(capsys):
"""Focus topic is extracted from the command and passed to _compress_context."""
shell = _make_cli()
history = _make_history()
compressed = [history[0], history[-1]]
shell.conversation_history = history
shell.agent = MagicMock()
shell.agent.compression_enabled = True
shell.agent._cached_system_prompt = ""
shell.agent._compress_context.return_value = (compressed, "")
def _estimate(messages):
if messages is history:
return 100
return 50
with patch("agent.model_metadata.estimate_messages_tokens_rough", side_effect=_estimate):
shell._manual_compress("/compress database schema")
output = capsys.readouterr().out
assert 'focus: "database schema"' in output
# Verify focus_topic was passed through
shell.agent._compress_context.assert_called_once()
call_kwargs = shell.agent._compress_context.call_args
assert call_kwargs.kwargs.get("focus_topic") == "database schema"
def test_no_focus_topic_when_bare_command(capsys):
"""When no focus topic is provided, None is passed."""
shell = _make_cli()
history = _make_history()
shell.conversation_history = history
shell.agent = MagicMock()
shell.agent.compression_enabled = True
shell.agent._cached_system_prompt = ""
shell.agent._compress_context.return_value = (list(history), "")
with patch("agent.model_metadata.estimate_messages_tokens_rough", return_value=100):
shell._manual_compress("/compress")
shell.agent._compress_context.assert_called_once()
call_kwargs = shell.agent._compress_context.call_args
assert call_kwargs.kwargs.get("focus_topic") is None
def test_empty_focus_after_command_treated_as_none(capsys):
"""Trailing whitespace after /compress does not produce a focus topic."""
shell = _make_cli()
history = _make_history()
shell.conversation_history = history
shell.agent = MagicMock()
shell.agent.compression_enabled = True
shell.agent._cached_system_prompt = ""
shell.agent._compress_context.return_value = (list(history), "")
with patch("agent.model_metadata.estimate_messages_tokens_rough", return_value=100):
shell._manual_compress("/compress ")
shell.agent._compress_context.assert_called_once()
call_kwargs = shell.agent._compress_context.call_args
assert call_kwargs.kwargs.get("focus_topic") is None
def test_focus_topic_printed_in_compression_banner(capsys):
"""The focus topic shows in the compression progress banner."""
shell = _make_cli()
history = _make_history()
compressed = [history[0], history[-1]]
shell.conversation_history = history
shell.agent = MagicMock()
shell.agent.compression_enabled = True
shell.agent._cached_system_prompt = ""
shell.agent._compress_context.return_value = (compressed, "")
with patch("agent.model_metadata.estimate_messages_tokens_rough", return_value=100):
shell._manual_compress("/compress API endpoints")
output = capsys.readouterr().out
assert 'focus: "API endpoints"' in output
def test_no_focus_prints_standard_banner(capsys):
"""Without focus, the standard banner (no focus: line) is printed."""
shell = _make_cli()
history = _make_history()
compressed = [history[0], history[-1]]
shell.conversation_history = history
shell.agent = MagicMock()
shell.agent.compression_enabled = True
shell.agent._cached_system_prompt = ""
shell.agent._compress_context.return_value = (compressed, "")
with patch("agent.model_metadata.estimate_messages_tokens_rough", return_value=100):
shell._manual_compress("/compress")
output = capsys.readouterr().out
assert "focus:" not in output
assert "Compressing" in output
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