fix(ipad): ship iPad P0 layout/globe fixes, edit-last-input, drop clipboard commands
Adapt typing/voice surfaces for iPad width and height, add the system globe key and last-input editing flow, harden host-only Rime deployment, and remove clipboard voice commands. Bump build to 61.
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@@ -7,11 +7,8 @@ This is deliberately separate from XCTest:
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the configured LLM, then records objective contract checks plus every output
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for human quality review.
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It covers two protocols that must never be conflated:
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1. Dictation polish: the user message is the user's outbound draft. Questions
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must stay questions and never be answered.
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2. Clipboard command: the user message contains material and an ASR command.
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A reply command must produce a reply; a summary/review/translation must not.
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It covers dictation polish: the user message is the user's outbound draft.
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Questions must stay questions and never be answered.
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Usage:
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python3 Scripts/llm_full_prompt_quality_eval.py --profile smoke
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@@ -30,8 +27,6 @@ from pathlib import Path
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ROOT = Path(__file__).resolve().parents[1]
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SHARED = ROOT / "OSGKeyboardShared"
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COMPOSER = SHARED / "Services" / "ClipboardCommandPromptComposer.swift"
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FIXTURES = ROOT / "Scripts" / "fixtures" / "llm_quality_matrix.json"
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QUESTION_EVAL = ROOT / "Scripts" / "polish_question_guard_eval.py"
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@@ -48,71 +43,6 @@ def load_question_eval():
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Q = load_question_eval()
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def swift_string(name: str) -> str:
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source = COMPOSER.read_text()
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match = re.search(
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rf'private static let {re.escape(name)} = """(.*?)"""',
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source,
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re.DOTALL,
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)
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if not match:
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raise SystemExit(f"Could not extract {name} from {COMPOSER}")
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return match.group(1).strip()
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def sanitize_bias(bias: str) -> str:
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"""Mirror ClipboardCommandPromptComposer.sanitizeBias line by line."""
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markers = (
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"草稿", "不是对方", "不回答", "不作答", "代答", "接话",
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"draft", "do not answer", "never answer", "not a message from",
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)
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kept: list[str] = []
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for line in bias.splitlines():
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text = line.strip()
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if not text:
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if kept and kept[-1]:
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kept.append("")
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continue
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if not any(marker in text.lower() for marker in markers):
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kept.append(line)
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return "\n".join(kept).strip()
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def contains_reply_intent(instruction: str) -> bool:
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"""Mirror current production markers; this is reported, not asserted."""
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markers = (
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"回复", "回信", "回应", "答复", "帮我回", "回他", "回她",
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"回个", "回条", "回一下", "回下", "reply", "respond",
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"write back", "answer them", "answer him", "answer her",
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)
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lower = instruction.lower()
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return any(marker in lower for marker in markers)
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def clipboard_system(instruction: str, style_id: str) -> str:
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parts = [swift_string("chineseCore")]
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if contains_reply_intent(instruction):
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parts.append(swift_string("chineseReplyGuard"))
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bias = sanitize_bias(Q.style_prompt(style_id))
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if bias:
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parts += ["# 语气底色(弱偏置;口述指令优先)", bias[:800]]
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return "\n\n".join(parts)
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def resolved_material(case: dict) -> str:
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suffix = case.get("generated_suffix")
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if suffix:
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return case["material"] + suffix * int(case["generated_suffix_repeat"])
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return case["material"]
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def clipboard_user(case: dict) -> str:
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# Production ClipboardMaterialFilter.truncateSnapshot uses a hard 3000-char
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# prefix. The current implementation does not append a truncation marker.
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material = resolved_material(case)[:3000]
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return f"【材料】\n{material}\n\n【指令】\n{case['instruction'].strip()}"
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def is_english(text: str) -> bool:
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letters = len(re.findall(r"[A-Za-z]", text))
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cjk = len(re.findall(r"[\u3400-\u9fff]", text))
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@@ -156,12 +86,6 @@ def objective_checks(case: dict, output: str, protocol: str) -> list[str]:
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failures.append("expected_english_output")
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if case.get("target_language_only") and re.search(r"[\u3400-\u9fff]", normalized):
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failures.append("intermediate_non_english_output")
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if protocol == "clipboard" and case["operation"] == "reply":
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# Replies need new user-side language, not a restatement of material.
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# This heuristic is intentionally advisory; the raw output is reviewed.
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material = resolved_material(case)[:3000].strip()
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if normalized == material:
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failures.append("reply_equals_material")
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return failures
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@@ -212,34 +136,6 @@ def normal_job(case: dict, style_id: str, intensity: str) -> dict:
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}
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def clipboard_job(case: dict, style_id: str) -> dict:
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system = clipboard_system(case["instruction"], style_id)
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user = clipboard_user(case)
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started = time.monotonic()
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try:
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output = Q.call(Q.api_key, system, user, temperature=0.1)
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error = None
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except Exception as exc: # noqa: BLE001
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output = ""
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error = str(exc)
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return {
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"protocol": "clipboard_command",
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"case_id": case["id"],
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"style": style_id,
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"operation": case["operation"],
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"material": resolved_material(case),
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"instruction": case["instruction"],
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"system_prompt": system,
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"user_payload": user,
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"output": output,
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"source": "llm",
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"checks": objective_checks(case, output, "clipboard"),
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"error": error,
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"elapsed_seconds": round(time.monotonic() - started, 3),
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"prompt_fingerprint": prompt_fingerprint(system, user),
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}
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def print_summary(results: list[dict]) -> None:
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by_protocol: defaultdict[str, Counter] = defaultdict(Counter)
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by_case: defaultdict[str, Counter] = defaultdict(Counter)
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@@ -282,14 +178,10 @@ def main() -> None:
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if args.profile == "smoke":
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normal_styles = ("builtin.chat", "builtin.dating", "user.emoji-chat")
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clipboard_styles = normal_styles
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normal_cases = fixtures["normal_polish"][:8]
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clipboard_cases = fixtures["clipboard_commands"][:12]
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else:
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normal_styles = tuple(Q.STYLES)
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clipboard_styles = ("builtin.light", "builtin.dating", "user.emoji-chat")
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normal_cases = fixtures["normal_polish"]
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clipboard_cases = fixtures["clipboard_commands"]
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jobs = []
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for _ in range(args.samples):
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@@ -297,9 +189,6 @@ def main() -> None:
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for style_id in normal_styles:
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for intensity in ("light", "heavy"):
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jobs.append(("normal", case, style_id, intensity))
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for case in clipboard_cases:
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for style_id in clipboard_styles:
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jobs.append(("clipboard", case, style_id, None))
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print(
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f"Running {len(jobs)} requests: profile={args.profile}, samples={args.samples}; "
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@@ -309,10 +198,7 @@ def main() -> None:
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with concurrent.futures.ThreadPoolExecutor(max_workers=args.workers) as pool:
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futures = []
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for protocol, case, style_id, intensity in jobs:
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if protocol == "normal":
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futures.append(pool.submit(normal_job, case, style_id, intensity))
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else:
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futures.append(pool.submit(clipboard_job, case, style_id))
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futures.append(pool.submit(normal_job, case, style_id, intensity))
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for future in concurrent.futures.as_completed(futures):
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result = future.result()
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results.append(result)
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