Files
watch_sceen_ai/wsai/backends/mock.py
claude-owner 4eeddc4b1f feat: scaffold watch-screen AI pipeline (mock-runnable skeleton)
Modular async pipeline: FrameSource->Vision->context and STT/text->Brain->TTS.
All stages are Protocols; mock backends run end-to-end with no deps/keys.
Real backends included: mss screen capture, Claude vision+brain (guarded imports).
2026-08-09 02:16:14 +09:00

100 lines
3.0 KiB
Python

"""Mock backends. These let the full pipeline run with no GPU, no mic, no API
key — so the skeleton is verifiable and gives every real backend a reference
implementation to match.
"""
from __future__ import annotations
import asyncio
import itertools
import time
from typing import AsyncIterator
from ..interfaces import (
Frame,
Reply,
ScreenObservation,
Utterance,
)
class MockFrameSource:
"""Emits tiny synthetic frames on a fixed interval."""
def __init__(self, interval: float = 1.0, limit: int | None = None) -> None:
self.interval = interval
self.limit = limit
async def frames(self) -> AsyncIterator[Frame]:
for i in itertools.count():
if self.limit is not None and i >= self.limit:
return
yield Frame(
data=b"\x89PNG\r\n\x1a\n", # PNG magic; enough for a stub
width=1280,
height=720,
ts=time.monotonic(),
mime="image/png",
)
await asyncio.sleep(self.interval)
async def aclose(self) -> None: # nothing to release
return
class MockVision:
"""Pretends to read the screen. Cycles through a few canned scenes."""
SCENES = [
"VS Code is open with a Python file; a traceback is visible in the terminal.",
"A browser shows a GitHub pull request diff.",
"A game is running; the player is in a menu screen.",
]
def __init__(self) -> None:
self._i = 0
async def describe(self, frame: Frame, hint: str | None = None) -> ScreenObservation:
scene = self.SCENES[self._i % len(self.SCENES)]
self._i += 1
return ScreenObservation(text=scene, ts=frame.ts)
class MockSTT:
"""Feeds a scripted set of user utterances, then goes quiet."""
def __init__(self, script: list[str] | None = None, interval: float = 2.0) -> None:
self.script = script or [
"지금 화면에 뭐 보여?",
"저 에러 왜 나는 거야?",
"고마워",
]
self.interval = interval
async def utterances(self) -> AsyncIterator[Utterance]:
for line in self.script:
await asyncio.sleep(self.interval)
yield Utterance(text=line, ts=time.monotonic(), source="voice")
async def aclose(self) -> None:
return
class MockTTS:
"""'Speaks' by printing. Real TTS swaps in here."""
async def speak(self, reply: Reply) -> None:
print(f"[TTS] {reply.text}")
class MockBrain:
"""Echo-style brain that references the current screen, so you can see the
screen context actually reaching the conversation loop."""
async def respond(self, user_text, screen, history) -> Reply:
seen = screen.text if screen else "아직 화면을 못 읽었어요"
return Reply(
text=f'(화면: "{seen}") 라고 봤어요. 말씀하신 "{user_text}"에 대해 답하자면… [mock]',
ts=time.monotonic(),
)