Files
ai-video-fullstack/backend/services/pipecat/xfyun_config.py
Xin Wang e25dfd4003 Add support for Xfyun ASR and TTS services in the backend
- Introduce new Xfyun ASR and TTS services, enabling integration with iFlytek's voice recognition and synthesis capabilities.
- Update AssistantConfig model to include interface types for STT and TTS.
- Enhance credential testing to validate Xfyun credentials.
- Modify service factory to create Xfyun services based on configuration.
- Update README with new configuration details for Xfyun integration.
- Add new frontend components for visualizing audio streams and managing user interactions.
2026-06-11 10:51:08 +08:00

66 lines
2.1 KiB
Python

"""Parse Xfyun's three-part credential from ProviderCredential.api_key."""
from __future__ import annotations
import json
from dataclasses import dataclass
@dataclass(frozen=True)
class XfyunCredential:
app_id: str
api_key: str
api_secret: str
def parse_xfyun_credential(value: str) -> XfyunCredential:
"""Accept JSON in the existing api_key column.
Example:
{"appId":"...","apiKey":"...","apiSecret":"..."}
"""
try:
payload = json.loads(value)
except json.JSONDecodeError as exc:
raise ValueError(
'Xfyun API Key must be JSON: {"appId":"...","apiKey":"...","apiSecret":"..."}'
) from exc
if not isinstance(payload, dict):
raise ValueError("Xfyun API Key JSON must be an object")
credential = XfyunCredential(
app_id=str(payload.get("appId") or payload.get("app_id") or "").strip(),
api_key=str(payload.get("apiKey") or payload.get("api_key") or "").strip(),
api_secret=str(
payload.get("apiSecret") or payload.get("api_secret") or ""
).strip(),
)
if not credential.app_id or not credential.api_key or not credential.api_secret:
raise ValueError("Xfyun API Key JSON requires appId, apiKey, and apiSecret")
return credential
def websocket_url(value: str, default: str) -> str:
url = (value or default).strip()
if url.startswith("https://"):
return f"wss://{url.removeprefix('https://')}"
if url.startswith("http://"):
return f"ws://{url.removeprefix('http://')}"
return url
def is_super_tts(model_id: str, api_url: str) -> bool:
model = model_id.lower().replace("-", "_")
return "super" in model or "/private/" in api_url.lower()
def xfyun_language(value: str) -> str:
normalized = (value or "zh_cn").lower().replace("-", "_")
return {"zh": "zh_cn", "en": "en_us"}.get(normalized, normalized)
def xfyun_speed(value: float) -> int:
"""Reuse the existing OpenAI-style speed field where 1.0 means normal."""
return max(0, min(100, round(value * 50 if value <= 4 else value)))