Sanad Lite d9b2d5427f Voice fidelity, Live Gemini tab, and dashboard fixes
Replay now matches the robots and no longer cuts words:
- read the turn to turnComplete, not generationComplete, and drain the
  socket before each send; breaking early truncated every sentence and
  left frames that the next turn mis-read as its own reply
- accept a take only if the model's own transcript covers the text AND
  the audio is long enough to contain it (the transcript reports the
  full text even for a 0.8s clip)
- pitch gate: reject an off-tone take and re-ask, per voice, using a
  pure-Python F0 estimator (no numpy on the host)
- continuation: speak the words a voice skipped instead of retrying a
  line it stops on deterministically
- fresh Live session per replay; delivery drifts as turns accumulate

Live Gemini tab: browser talks to Gemini directly (the reverse proxy
cannot upgrade a WebSocket), with a persona library - named personas,
per-robot selection, built-ins that cannot be overwritten.

Dashboard: records search + voice filter, log panel falls back to
polling, sign-in history with CSV/JSON export, and JS errors now show
on the page instead of silently blanking a tab.
2026-09-02 22:56:18 +04:00

145 lines
5.2 KiB
Python

"""Prompt management — view, edit, reload system prompts."""
from __future__ import annotations
from fastapi import APIRouter, HTTPException
from pydantic import BaseModel
from Project.Sanad.config import SCRIPTS_DIR
from Project.Sanad.core.config_loader import section as _cfg_section
from Project.Sanad.core.logger import get_logger
from Project.Sanad.dashboard.routes._safe_io import (
atomic_write_text, MAX_UPLOAD_BYTES,
)
router = APIRouter()
log = get_logger("prompt_route")
# Filenames — SINGLE SOURCE in core.script_files
_SCRIPTS = _cfg_section("core", "script_files")
SCRIPT_PROMPT_PATH = SCRIPTS_DIR / _SCRIPTS.get("persona", "sanad_script.txt")
RULE_PROMPT_PATH = SCRIPTS_DIR / _SCRIPTS.get("rules", "sanad_rule.txt")
MAX_PROMPT_BYTES = MAX_UPLOAD_BYTES
# Default system prompt — SINGLE SOURCE in core.gemini_defaults
DEFAULT_SYSTEM_PROMPT = _cfg_section("core", "gemini_defaults").get(
"default_system_prompt",
"You are Sanad (Bousandah), a wise and friendly Emirati assistant. "
"Speak strictly in the UAE dialect (Khaleeji). "
"Be helpful, concise, and use local greetings like 'Marhaba' and 'Ya Khoy'."
)
def _load_system_prompt() -> str:
try:
content = SCRIPT_PROMPT_PATH.read_text(encoding="utf-8-sig").strip()
if content:
return content
except FileNotFoundError:
pass
return DEFAULT_SYSTEM_PROMPT
def _load_rule_prompts() -> dict[str, str]:
result = {"system_prompt": "", "replay_prompt": ""}
try:
content = RULE_PROMPT_PATH.read_text(encoding="utf-8-sig").strip()
sections: dict[str, list[str]] = {}
current = None
for line in content.splitlines():
stripped = line.strip()
if stripped.startswith("[") and stripped.endswith("]"):
current = stripped[1:-1].strip()
sections[current] = []
elif current is not None:
sections[current].append(line.rstrip())
result["system_prompt"] = "\n".join(sections.get("SYSTEM_PROMPT", [])).strip()
result["replay_prompt"] = "\n".join(sections.get("REPLAY_SYSTEM_PROMPT", [])).strip()
except FileNotFoundError:
pass
if not result["system_prompt"]:
result["system_prompt"] = _load_system_prompt()
return result
@router.get("/")
async def get_prompt():
return {
"script_path": str(SCRIPT_PROMPT_PATH),
"rule_path": str(RULE_PROMPT_PATH),
"system_prompt": _load_system_prompt(),
"rules": _load_rule_prompts(),
}
class PromptUpdate(BaseModel):
content: str
@router.post("/update")
async def update_prompt(payload: PromptUpdate):
if len(payload.content.encode("utf-8")) > MAX_PROMPT_BYTES:
raise HTTPException(413, f"Prompt too large (max {MAX_PROMPT_BYTES} bytes).")
try:
SCRIPTS_DIR.mkdir(parents=True, exist_ok=True)
atomic_write_text(SCRIPT_PROMPT_PATH, payload.content.rstrip() + "\n")
except OSError as exc:
raise HTTPException(500, f"Could not write prompt: {exc}")
return {"ok": True, "path": str(SCRIPT_PROMPT_PATH), "length": len(payload.content)}
@router.post("/reload")
async def reload_prompts():
rules = _load_rule_prompts()
return {
"ok": True,
"system_prompt": rules["system_prompt"],
"replay_prompt": rules["replay_prompt"],
"script_path": str(SCRIPT_PROMPT_PATH),
"rule_path": str(RULE_PROMPT_PATH),
}
# ── Voice replay rule — the [REPLAY_SYSTEM_PROMPT] that shapes the spoken voice ──
class RulePayload(BaseModel):
content: str
@router.get("/rule")
async def get_rule():
"""The current voice replay rule (how typed text is spoken: accent, verbatim, gender)."""
return {"content": _load_rule_prompts().get("replay_prompt", ""),
"rule_path": str(RULE_PROMPT_PATH)}
@router.post("/rule")
async def update_rule(payload: RulePayload):
"""Save the replay rule to sanad_rule.txt AND apply it live (hot-swap + reconnect)."""
content = payload.content.strip()
if not content:
raise HTTPException(400, "Rule cannot be empty.")
if len(content.encode("utf-8")) > MAX_PROMPT_BYTES:
raise HTTPException(413, f"Rule too large (max {MAX_PROMPT_BYTES} bytes).")
try:
SCRIPTS_DIR.mkdir(parents=True, exist_ok=True)
atomic_write_text(
RULE_PROMPT_PATH, "[REPLAY_SYSTEM_PROMPT]\n" + content.rstrip() + "\n")
except OSError as exc:
raise HTTPException(500, f"Could not write rule: {exc}")
# Apply immediately: hot-swap the live voice_client's system prompt and drop the
# session so the next Generate & Play reconnects with the new rule.
applied = False
try:
from Project.Sanad.main import voice_client
if voice_client is not None:
voice_client.system_prompt = content
if getattr(voice_client, "connected", False):
await voice_client.disconnect()
applied = True
except Exception:
log.exception("could not hot-swap the voice rule")
return {"ok": True, "applied": applied,
"message": ("Rule saved and applied — takes effect on your next Generate & Play."
if applied else "Rule saved (restart to apply).")}