from __future__ import annotations import base64 from pathlib import Path from typing import Any from urllib.parse import urlsplit from ..http import post_json from ..models import SttMode, SttModelConfig, TranscriptionResult from .audio import wav_audio_bytes MODAL_ASR_ENDPOINT_DESCRIPTION_BY_SECRET = { "MODAL_PARAKEET_ENDPOINT": "Modal ASR endpoint (set MODAL_PARAKEET_ENDPOINT)", "MODAL_OMNIASR_ENDPOINT": "Modal ASR endpoint (set MODAL_OMNIASR_ENDPOINT)", } MODAL_ASR_DEFAULT_SAMPLE_RATE_HZ = 16000 MODAL_ASR_DEFAULT_CHANNELS = 1 MODAL_ASR_DEFAULT_TIMEOUT_SECONDS = 600.0 MODAL_ASR_DEFAULT_MAX_ATTEMPTS = 10 def modal_asr_endpoint(endpoint: str, secret_name: str) -> str: normalized = endpoint.strip().rstrip("/") parsed = urlsplit(normalized) if parsed.scheme != "https" or not parsed.netloc: raise ValueError(f"{secret_name} must be a valid HTTPS URL.") return normalized def modal_asr_payload(audio: bytes, stt_model: SttModelConfig) -> dict[str, Any]: payload: dict[str, Any] = { "audio_base64": base64.b64encode(audio).decode("ascii"), "audio_format": "wav", } language = stt_model.options.get("language") if language is None or language == "": return payload if isinstance(language, bool) or not isinstance(language, str): raise ValueError("Modal ASR language must be a string.") payload["language"] = language return payload def modal_asr_transcript_from_response(response: Any) -> str: if not isinstance(response, dict): raise ValueError("Modal ASR response did not include a non-empty transcript string.") transcript = response.get("transcript") if not isinstance(transcript, str) or not transcript: raise ValueError("Modal ASR response did not include a non-empty transcript string.") return transcript def transcribe( audio_path: Path, stt_model: SttModelConfig, endpoint: str, proxy_token_id: str, proxy_token_secret: str, endpoint_secret_name: str, ) -> TranscriptionResult: if stt_model.mode != SttMode.BATCH: raise ValueError("Modal ASR transport only supports batch transcription.") sample_rate = int(stt_model.options.get("sample_rate", MODAL_ASR_DEFAULT_SAMPLE_RATE_HZ)) channels = int(stt_model.options.get("channels", MODAL_ASR_DEFAULT_CHANNELS)) audio = wav_audio_bytes(audio_path, sample_rate=sample_rate, channels=channels) response = post_json( modal_asr_endpoint(endpoint, endpoint_secret_name), modal_asr_payload(audio, stt_model), { "Modal-Key": proxy_token_id, "Modal-Secret": proxy_token_secret, }, timeout=float(stt_model.options.get("timeout_seconds", MODAL_ASR_DEFAULT_TIMEOUT_SECONDS)), max_attempts=int(stt_model.options.get("max_attempts", MODAL_ASR_DEFAULT_MAX_ATTEMPTS)), ) return {"transcript": modal_asr_transcript_from_response(response)}