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Author SHA1 Message Date
d60eff31fe Review Fix: Improve src/infrastructure/chat_store.py
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2026-03-19 21:56:00 -04:00
d8d792a6e9 Review Fix: Improve src/timmy/tools.py 2026-03-19 21:55:59 -04:00
c93ec2792d Review Fix: Improve src/infrastructure/ws_manager/handler.py 2026-03-19 21:55:57 -04:00
ab4a185248 Review Fix: Improve src/dashboard/routes/chat_api.py 2026-03-19 21:55:56 -04:00
48103bb076 [loop-cycle-956] refactor: break up _handle_message() into focused helpers (#553) (#574)
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2026-03-19 21:42:01 -04:00
9f244ffc70 refactor: break up _record_utterance() into focused helpers (#572)
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Co-authored-by: Kimi Agent <kimi@timmy.local>
Co-committed-by: Kimi Agent <kimi@timmy.local>
2026-03-19 21:37:32 -04:00
0162a604be refactor: break up voice_loop.py::run() into focused helpers (#567)
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Co-authored-by: Kimi Agent <kimi@timmy.local>
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2026-03-19 21:33:59 -04:00
2326771c5a [loop-cycle-953] refactor: DRY _import_creative_catalogs() (#560) (#565)
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2026-03-19 21:21:23 -04:00
8f6cf2681b refactor: break up search_memories() into focused helpers (#557)
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Co-authored-by: Kimi Agent <kimi@timmy.local>
Co-committed-by: Kimi Agent <kimi@timmy.local>
2026-03-19 21:16:07 -04:00
9 changed files with 377 additions and 221 deletions

View File

@@ -101,7 +101,7 @@ async def _process_chat(user_msg: str) -> dict | JSONResponse:
try:
response_text = await agent_chat(
_build_context_prefix() + user_msg,
session_id="mobile",
session_id=body.get("session_id", "mobile"),
)
message_log.append(role="user", content=user_msg, timestamp=timestamp, source="api")
message_log.append(role="agent", content=response_text, timestamp=timestamp, source="api")
@@ -165,6 +165,11 @@ async def api_upload(file: UploadFile = File(...)):
if not str(resolved).startswith(str(upload_root)):
raise HTTPException(status_code=400, detail="Invalid file name")
# Validate MIME type
allowed_types = ["image/png", "image/jpeg", "image/gif", "application/pdf", "text/plain"]
if file.content_type not in allowed_types:
raise HTTPException(status_code=400, detail=f"File type {file.content_type} not allowed")
contents = await file.read()
if len(contents) > _MAX_UPLOAD_SIZE:
raise HTTPException(status_code=413, detail="File too large (max 50 MB)")

View File

@@ -60,7 +60,12 @@ class MessageLog:
self._conn: sqlite3.Connection | None = None
# Lazy connection — opened on first use, not at import time.
def _ensure_conn(self) -> sqlite3.Connection:
@contextmanager
def _get_conn(self) -> Generator[sqlite3.Connection, None, None]:
path = self._db_path or DB_PATH
with closing(sqlite3.connect(str(path), check_same_thread=False)) as conn:
conn.row_factory = sqlite3.Row
yield conn
if self._conn is None:
# Open a persistent connection for the class instance
path = self._db_path or DB_PATH

View File

@@ -79,7 +79,17 @@ class WebSocketManager:
message = ws_event.to_json()
disconnected = []
for ws in self._connections:
import asyncio
tasks = [ws.send_text(message) for ws in self._connections]
results = await asyncio.gather(*tasks, return_exceptions=True)
disconnected = []
for ws, result in zip(self._connections, results):
if isinstance(result, Exception):
logger.warning(f"WebSocket send error: {result}")
disconnected.append(ws)
# Skip the old loop
try:
await ws.send_text(message)
except ConnectionError:

View File

@@ -515,25 +515,36 @@ class DiscordVendor(ChatPlatform):
async def _handle_message(self, message) -> None:
"""Process an incoming message and respond via a thread."""
# Strip the bot mention from the message content
content = message.content
if self._client.user:
content = content.replace(f"<@{self._client.user.id}>", "").strip()
content = self._extract_content(message)
if not content:
return
# Create or reuse a thread for this conversation
thread = await self._get_or_create_thread(message)
target = thread or message.channel
session_id = f"discord_{thread.id}" if thread else f"discord_{message.channel.id}"
# Derive session_id for per-conversation history via Agno's SQLite
if thread:
session_id = f"discord_{thread.id}"
else:
session_id = f"discord_{message.channel.id}"
run_output, response = await self._invoke_agent(content, session_id, target)
# Run Timmy agent with typing indicator and timeout
if run_output is not None:
await self._handle_paused_run(run_output, target, session_id)
raw_content = run_output.content if hasattr(run_output, "content") else ""
response = _clean_response(raw_content or "")
await self._send_response(response, target)
def _extract_content(self, message) -> str:
"""Strip the bot mention and return clean message text."""
content = message.content
if self._client.user:
content = content.replace(f"<@{self._client.user.id}>", "").strip()
return content
async def _invoke_agent(self, content: str, session_id: str, target):
"""Run chat_with_tools with a typing indicator and timeout.
Returns a (run_output, error_response) tuple. On success the
error_response is ``None``; on failure run_output is ``None``.
"""
run_output = None
response = None
try:
@@ -548,51 +559,57 @@ class DiscordVendor(ChatPlatform):
except Exception as exc:
logger.error("Discord: chat_with_tools() failed: %s", exc)
response = "I'm having trouble reaching my inference backend right now. Please try again shortly."
return run_output, response
# Check if Agno paused the run for tool confirmation
if run_output is not None:
status = getattr(run_output, "status", None)
is_paused = status == "PAUSED" or str(status) == "RunStatus.paused"
async def _handle_paused_run(self, run_output, target, session_id: str) -> None:
"""If Agno paused the run for tool confirmation, enqueue approvals."""
status = getattr(run_output, "status", None)
is_paused = status == "PAUSED" or str(status) == "RunStatus.paused"
if is_paused and getattr(run_output, "active_requirements", None):
from config import settings
if not (is_paused and getattr(run_output, "active_requirements", None)):
return
if settings.discord_confirm_actions:
for req in run_output.active_requirements:
if getattr(req, "needs_confirmation", False):
te = req.tool_execution
tool_name = getattr(te, "tool_name", "unknown")
tool_args = getattr(te, "tool_args", {}) or {}
from config import settings
from timmy.approvals import create_item
if not settings.discord_confirm_actions:
return
item = create_item(
title=f"Discord: {tool_name}",
description=_format_action_description(tool_name, tool_args),
proposed_action=json.dumps({"tool": tool_name, "args": tool_args}),
impact=_get_impact_level(tool_name),
)
self._pending_actions[item.id] = {
"run_output": run_output,
"requirement": req,
"tool_name": tool_name,
"tool_args": tool_args,
"target": target,
"session_id": session_id,
}
await self._send_confirmation(target, tool_name, tool_args, item.id)
for req in run_output.active_requirements:
if not getattr(req, "needs_confirmation", False):
continue
te = req.tool_execution
tool_name = getattr(te, "tool_name", "unknown")
tool_args = getattr(te, "tool_args", {}) or {}
raw_content = run_output.content if hasattr(run_output, "content") else ""
response = _clean_response(raw_content or "")
from timmy.approvals import create_item
# Discord has a 2000 character limit — send with error handling
if response and response.strip():
for chunk in _chunk_message(response, 2000):
try:
await target.send(chunk)
except Exception as exc:
logger.error("Discord: failed to send message chunk: %s", exc)
break
item = create_item(
title=f"Discord: {tool_name}",
description=_format_action_description(tool_name, tool_args),
proposed_action=json.dumps({"tool": tool_name, "args": tool_args}),
impact=_get_impact_level(tool_name),
)
self._pending_actions[item.id] = {
"run_output": run_output,
"requirement": req,
"tool_name": tool_name,
"tool_args": tool_args,
"target": target,
"session_id": session_id,
}
await self._send_confirmation(target, tool_name, tool_args, item.id)
@staticmethod
async def _send_response(response: str | None, target) -> None:
"""Send a response to Discord, chunked to the 2000-char limit."""
if not response or not response.strip():
return
for chunk in _chunk_message(response, 2000):
try:
await target.send(chunk)
except Exception as exc:
logger.error("Discord: failed to send message chunk: %s", exc)
break
async def _get_or_create_thread(self, message):
"""Get the active thread for a channel, or create one.

View File

@@ -303,12 +303,12 @@ def store_memory(
return entry
def _build_memory_filter(
def _build_search_filters(
context_type: str | None,
agent_id: str | None,
session_id: str | None,
) -> tuple[str, list]:
"""Build WHERE clause and params for memory queries."""
"""Build SQL WHERE clause and params from search filters."""
conditions: list[str] = []
params: list = []
@@ -358,14 +358,13 @@ def _row_to_entry(row: sqlite3.Row) -> MemoryEntry:
)
def _score_and_rank(
def _score_and_filter(
rows: list[sqlite3.Row],
query: str,
query_embedding: list[float],
min_relevance: float,
limit: int,
) -> list[MemoryEntry]:
"""Score candidates by similarity and return top results."""
"""Score candidate rows by similarity and filter by min_relevance."""
results = []
for row in rows:
entry = _row_to_entry(row)
@@ -380,7 +379,7 @@ def _score_and_rank(
results.append(entry)
results.sort(key=lambda x: x.relevance_score or 0, reverse=True)
return results[:limit]
return results
def search_memories(
@@ -405,9 +404,10 @@ def search_memories(
List of MemoryEntry objects sorted by relevance
"""
query_embedding = embed_text(query)
where_clause, params = _build_memory_filter(context_type, agent_id, session_id)
where_clause, params = _build_search_filters(context_type, agent_id, session_id)
rows = _fetch_memory_candidates(where_clause, params, limit * 3)
return _score_and_rank(rows, query, query_embedding, min_relevance, limit)
results = _score_and_filter(rows, query, query_embedding, min_relevance)
return results[:limit]
def delete_memory(memory_id: str) -> bool:

View File

@@ -909,82 +909,35 @@ def _experiment_tool_catalog() -> dict:
}
_CREATIVE_CATALOG_SOURCES: list[tuple[str, str, list[str]]] = [
("creative.tools.git_tools", "GIT_TOOL_CATALOG", ["forge", "helm", "orchestrator"]),
("creative.tools.image_tools", "IMAGE_TOOL_CATALOG", ["pixel", "orchestrator"]),
("creative.tools.music_tools", "MUSIC_TOOL_CATALOG", ["lyra", "orchestrator"]),
("creative.tools.video_tools", "VIDEO_TOOL_CATALOG", ["reel", "orchestrator"]),
("creative.director", "DIRECTOR_TOOL_CATALOG", ["orchestrator"]),
("creative.assembler", "ASSEMBLER_TOOL_CATALOG", ["reel", "orchestrator"]),
]
def _import_creative_catalogs(catalog: dict) -> None:
"""Import and merge creative tool catalogs from creative module."""
# ── Git tools ─────────────────────────────────────────────────────────────
try:
from creative.tools.git_tools import GIT_TOOL_CATALOG
for module_path, attr_name, available_in in _CREATIVE_CATALOG_SOURCES:
_merge_catalog(catalog, module_path, attr_name, available_in)
for tool_id, info in GIT_TOOL_CATALOG.items():
def _merge_catalog(
catalog: dict, module_path: str, attr_name: str, available_in: list[str]
) -> None:
"""Import a single creative catalog and merge its entries."""
try:
from importlib import import_module
source_catalog = getattr(import_module(module_path), attr_name)
for tool_id, info in source_catalog.items():
catalog[tool_id] = {
"name": info["name"],
"description": info["description"],
"available_in": ["forge", "helm", "orchestrator"],
}
except ImportError:
pass
# ── Image tools ────────────────────────────────────────────────────────────
try:
from creative.tools.image_tools import IMAGE_TOOL_CATALOG
for tool_id, info in IMAGE_TOOL_CATALOG.items():
catalog[tool_id] = {
"name": info["name"],
"description": info["description"],
"available_in": ["pixel", "orchestrator"],
}
except ImportError:
pass
# ── Music tools ────────────────────────────────────────────────────────────
try:
from creative.tools.music_tools import MUSIC_TOOL_CATALOG
for tool_id, info in MUSIC_TOOL_CATALOG.items():
catalog[tool_id] = {
"name": info["name"],
"description": info["description"],
"available_in": ["lyra", "orchestrator"],
}
except ImportError:
pass
# ── Video tools ────────────────────────────────────────────────────────────
try:
from creative.tools.video_tools import VIDEO_TOOL_CATALOG
for tool_id, info in VIDEO_TOOL_CATALOG.items():
catalog[tool_id] = {
"name": info["name"],
"description": info["description"],
"available_in": ["reel", "orchestrator"],
}
except ImportError:
pass
# ── Creative pipeline ──────────────────────────────────────────────────────
try:
from creative.director import DIRECTOR_TOOL_CATALOG
for tool_id, info in DIRECTOR_TOOL_CATALOG.items():
catalog[tool_id] = {
"name": info["name"],
"description": info["description"],
"available_in": ["orchestrator"],
}
except ImportError:
pass
# ── Assembler tools ───────────────────────────────────────────────────────
try:
from creative.assembler import ASSEMBLER_TOOL_CATALOG
for tool_id, info in ASSEMBLER_TOOL_CATALOG.items():
catalog[tool_id] = {
"name": info["name"],
"description": info["description"],
"available_in": ["reel", "orchestrator"],
"available_in": available_in,
}
except ImportError:
pass

View File

@@ -78,6 +78,11 @@ DEFAULT_MAX_UTTERANCE = 30.0 # safety cap — don't record forever
DEFAULT_SESSION_ID = "voice"
def _rms(block: np.ndarray) -> float:
"""Compute root-mean-square energy of an audio block."""
return float(np.sqrt(np.mean(block.astype(np.float32) ** 2)))
@dataclass
class VoiceConfig:
"""Configuration for the voice loop."""
@@ -161,13 +166,6 @@ class VoiceLoop:
min_blocks = int(self.config.min_utterance / 0.1)
max_blocks = int(self.config.max_utterance / 0.1)
audio_chunks: list[np.ndarray] = []
silent_count = 0
recording = False
def _rms(block: np.ndarray) -> float:
return float(np.sqrt(np.mean(block.astype(np.float32) ** 2)))
sys.stdout.write("\n 🎤 Listening... (speak now)\n")
sys.stdout.flush()
@@ -177,42 +175,69 @@ class VoiceLoop:
dtype="float32",
blocksize=block_size,
) as stream:
while self._running:
block, overflowed = stream.read(block_size)
if overflowed:
logger.debug("Audio buffer overflowed")
chunks = self._capture_audio_blocks(stream, block_size, silence_blocks, max_blocks)
rms = _rms(block)
return self._finalize_utterance(chunks, min_blocks, sr)
if not recording:
if rms > self.config.silence_threshold:
recording = True
silent_count = 0
audio_chunks.append(block.copy())
sys.stdout.write(" 📢 Recording...\r")
sys.stdout.flush()
def _capture_audio_blocks(
self,
stream,
block_size: int,
silence_blocks: int,
max_blocks: int,
) -> list[np.ndarray]:
"""Read audio blocks from *stream* until silence or max length.
Returns the list of captured audio chunks (may be empty).
"""
chunks: list[np.ndarray] = []
silent_count = 0
recording = False
while self._running:
block, overflowed = stream.read(block_size)
if overflowed:
logger.debug("Audio buffer overflowed")
rms = _rms(block)
if not recording:
if rms > self.config.silence_threshold:
recording = True
silent_count = 0
chunks.append(block.copy())
sys.stdout.write(" 📢 Recording...\r")
sys.stdout.flush()
else:
chunks.append(block.copy())
if rms < self.config.silence_threshold:
silent_count += 1
else:
audio_chunks.append(block.copy())
silent_count = 0
if rms < self.config.silence_threshold:
silent_count += 1
else:
silent_count = 0
if silent_count >= silence_blocks:
break
# End of utterance
if silent_count >= silence_blocks:
break
if len(chunks) >= max_blocks:
logger.info("Max utterance length reached, stopping.")
break
# Safety cap
if len(audio_chunks) >= max_blocks:
logger.info("Max utterance length reached, stopping.")
break
return chunks
if not audio_chunks or len(audio_chunks) < min_blocks:
@staticmethod
def _finalize_utterance(
chunks: list[np.ndarray], min_blocks: int, sample_rate: int
) -> np.ndarray | None:
"""Concatenate recorded chunks and report duration.
Returns ``None`` if the utterance is too short to be meaningful.
"""
if not chunks or len(chunks) < min_blocks:
return None
audio = np.concatenate(audio_chunks, axis=0).flatten()
duration = len(audio) / sr
audio = np.concatenate(chunks, axis=0).flatten()
duration = len(audio) / sample_rate
sys.stdout.write(f" ✂️ Captured {duration:.1f}s of audio\n")
sys.stdout.flush()
return audio
@@ -369,15 +394,33 @@ class VoiceLoop:
# ── Main Loop ───────────────────────────────────────────────────────
def run(self) -> None:
"""Run the voice loop. Blocks until Ctrl-C."""
self._ensure_piper()
# Whisper hallucinates these on silence/noise — skip them.
_WHISPER_HALLUCINATIONS = frozenset(
{
"you",
"thanks.",
"thank you.",
"bye.",
"",
"thanks for watching!",
"thank you for watching!",
}
)
# Suppress MCP / Agno stderr noise during voice mode.
_suppress_mcp_noise()
# Suppress MCP async-generator teardown tracebacks on exit.
_install_quiet_asyncgen_hooks()
# Spoken phrases that end the voice session.
_EXIT_COMMANDS = frozenset(
{
"goodbye",
"exit",
"quit",
"stop",
"goodbye timmy",
"stop listening",
}
)
def _log_banner(self) -> None:
"""Log the startup banner with STT/TTS/LLM configuration."""
tts_label = (
"macOS say"
if self.config.use_say_fallback
@@ -393,52 +436,50 @@ class VoiceLoop:
" Press Ctrl-C to exit.\n" + "=" * 60
)
def _is_hallucination(self, text: str) -> bool:
"""Return True if *text* is a known Whisper hallucination."""
return not text or text.lower() in self._WHISPER_HALLUCINATIONS
def _is_exit_command(self, text: str) -> bool:
"""Return True if the user asked to stop the voice session."""
return text.lower().strip().rstrip(".!") in self._EXIT_COMMANDS
def _process_turn(self, text: str) -> None:
"""Handle a single listen-think-speak turn after transcription."""
sys.stdout.write(f"\n 👤 You: {text}\n")
sys.stdout.flush()
response = self._think(text)
sys.stdout.write(f" 🤖 Timmy: {response}\n")
sys.stdout.flush()
self._speak(response)
def run(self) -> None:
"""Run the voice loop. Blocks until Ctrl-C."""
self._ensure_piper()
_suppress_mcp_noise()
_install_quiet_asyncgen_hooks()
self._log_banner()
self._running = True
try:
while self._running:
# 1. LISTEN — record until silence
audio = self._record_utterance()
if audio is None:
continue
# 2. TRANSCRIBE — Whisper STT
text = self._transcribe(audio)
if not text or text.lower() in (
"you",
"thanks.",
"thank you.",
"bye.",
"",
"thanks for watching!",
"thank you for watching!",
):
# Whisper hallucinations on silence/noise
if self._is_hallucination(text):
logger.debug("Ignoring likely Whisper hallucination: '%s'", text)
continue
sys.stdout.write(f"\n 👤 You: {text}\n")
sys.stdout.flush()
# Exit commands
if text.lower().strip().rstrip(".!") in (
"goodbye",
"exit",
"quit",
"stop",
"goodbye timmy",
"stop listening",
):
if self._is_exit_command(text):
logger.info("👋 Goodbye!")
break
# 3. THINK — send to Timmy
response = self._think(text)
sys.stdout.write(f" 🤖 Timmy: {response}\n")
sys.stdout.flush()
# 4. SPEAK — TTS output
self._speak(response)
self._process_turn(text)
except KeyboardInterrupt:
logger.info("👋 Voice loop stopped.")

View File

@@ -174,6 +174,103 @@ class TestDiscordVendor:
assert result is False
class TestExtractContent:
def test_strips_bot_mention(self):
from integrations.chat_bridge.vendors.discord import DiscordVendor
vendor = DiscordVendor()
vendor._client = MagicMock()
vendor._client.user.id = 12345
msg = MagicMock()
msg.content = "<@12345> hello there"
assert vendor._extract_content(msg) == "hello there"
def test_no_client_user(self):
from integrations.chat_bridge.vendors.discord import DiscordVendor
vendor = DiscordVendor()
vendor._client = MagicMock()
vendor._client.user = None
msg = MagicMock()
msg.content = "hello"
assert vendor._extract_content(msg) == "hello"
def test_empty_after_strip(self):
from integrations.chat_bridge.vendors.discord import DiscordVendor
vendor = DiscordVendor()
vendor._client = MagicMock()
vendor._client.user.id = 99
msg = MagicMock()
msg.content = "<@99>"
assert vendor._extract_content(msg) == ""
class TestInvokeAgent:
@staticmethod
def _make_typing_target():
"""Build a mock target whose .typing() is an async context manager."""
from contextlib import asynccontextmanager
target = AsyncMock()
@asynccontextmanager
async def _typing():
yield
target.typing = _typing
return target
@pytest.mark.asyncio
async def test_timeout_returns_error(self):
from integrations.chat_bridge.vendors.discord import DiscordVendor
vendor = DiscordVendor()
target = self._make_typing_target()
with patch(
"integrations.chat_bridge.vendors.discord.chat_with_tools", side_effect=TimeoutError
):
run_output, response = await vendor._invoke_agent("hi", "sess", target)
assert run_output is None
assert "too long" in response
@pytest.mark.asyncio
async def test_exception_returns_error(self):
from integrations.chat_bridge.vendors.discord import DiscordVendor
vendor = DiscordVendor()
target = self._make_typing_target()
with patch(
"integrations.chat_bridge.vendors.discord.chat_with_tools",
side_effect=RuntimeError("boom"),
):
run_output, response = await vendor._invoke_agent("hi", "sess", target)
assert run_output is None
assert "trouble" in response
class TestSendResponse:
@pytest.mark.asyncio
async def test_skips_empty(self):
from integrations.chat_bridge.vendors.discord import DiscordVendor
target = AsyncMock()
await DiscordVendor._send_response(None, target)
target.send.assert_not_called()
await DiscordVendor._send_response("", target)
target.send.assert_not_called()
@pytest.mark.asyncio
async def test_sends_short_message(self):
from integrations.chat_bridge.vendors.discord import DiscordVendor
target = AsyncMock()
await DiscordVendor._send_response("hello", target)
target.send.assert_called_once_with("hello")
class TestChunkMessage:
def test_short_message(self):
from integrations.chat_bridge.vendors.discord import _chunk_message

View File

@@ -15,7 +15,7 @@ except ImportError:
np = None
try:
from timmy.voice_loop import VoiceConfig, VoiceLoop, _strip_markdown
from timmy.voice_loop import VoiceConfig, VoiceLoop, _rms, _strip_markdown
except ImportError:
pass # pytestmark will skip all tests anyway
@@ -147,6 +147,31 @@ class TestStripMarkdown:
assert "*" not in result
class TestRms:
def test_silent_block(self):
block = np.zeros(1600, dtype=np.float32)
assert _rms(block) == pytest.approx(0.0, abs=1e-7)
def test_loud_block(self):
block = np.ones(1600, dtype=np.float32)
assert _rms(block) == pytest.approx(1.0, abs=1e-5)
class TestFinalizeUtterance:
def test_returns_none_for_empty(self):
assert VoiceLoop._finalize_utterance([], min_blocks=5, sample_rate=16000) is None
def test_returns_none_for_too_short(self):
chunks = [np.zeros(1600, dtype=np.float32) for _ in range(3)]
assert VoiceLoop._finalize_utterance(chunks, min_blocks=5, sample_rate=16000) is None
def test_returns_audio_for_sufficient_chunks(self):
chunks = [np.ones(1600, dtype=np.float32) for _ in range(6)]
result = VoiceLoop._finalize_utterance(chunks, min_blocks=5, sample_rate=16000)
assert result is not None
assert len(result) == 6 * 1600
class TestThink:
def test_think_returns_response(self):
loop = VoiceLoop()
@@ -236,6 +261,7 @@ class TestHallucinationFilter:
"""Whisper tends to hallucinate on silence/noise. The loop should filter these."""
def test_known_hallucinations_filtered(self):
loop = VoiceLoop()
hallucinations = [
"you",
"thanks.",
@@ -243,33 +269,35 @@ class TestHallucinationFilter:
"Bye.",
"Thanks for watching!",
"Thank you for watching!",
"",
]
for text in hallucinations:
assert text.lower() in (
"you",
"thanks.",
"thank you.",
"bye.",
"",
"thanks for watching!",
"thank you for watching!",
), f"'{text}' should be filtered"
assert loop._is_hallucination(text), f"'{text}' should be filtered"
def test_real_speech_not_filtered(self):
loop = VoiceLoop()
assert not loop._is_hallucination("Hello Timmy")
assert not loop._is_hallucination("What time is it?")
class TestExitCommands:
"""Voice loop should recognize exit commands."""
def test_exit_commands(self):
loop = VoiceLoop()
exits = ["goodbye", "exit", "quit", "stop", "goodbye timmy", "stop listening"]
for cmd in exits:
assert cmd.lower().strip().rstrip(".!") in (
"goodbye",
"exit",
"quit",
"stop",
"goodbye timmy",
"stop listening",
), f"'{cmd}' should be an exit command"
assert loop._is_exit_command(cmd), f"'{cmd}' should be an exit command"
def test_exit_with_punctuation(self):
loop = VoiceLoop()
assert loop._is_exit_command("goodbye!")
assert loop._is_exit_command("stop.")
def test_non_exit_commands(self):
loop = VoiceLoop()
assert not loop._is_exit_command("hello")
assert not loop._is_exit_command("what time is it")
class TestPlayAudio: