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Arthur K. 2026-04-13 13:54:46 +03:00
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GPG key ID: B97F30FDC4636357
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.venv/
.ruff_cache/
__pycache__/

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FROM python:3.14-alpine
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
EDGING_LOG_LEVEL=INFO \
PATH="/app/.venv/bin:$PATH"
WORKDIR /app
RUN apk add --no-cache ffmpeg && pip install uv
COPY pyproject.toml uv.lock .
RUN uv sync --frozen --no-dev
COPY src .
EXPOSE 80
HEALTHCHECK --start-interval=1s --start-period=10s \
CMD python -c "import json, urllib.request; data = urllib.request.urlopen('http://127.0.0.1:80/models', timeout=3).read(); payload = json.loads(data); raise SystemExit(0 if payload == {'data': []} else 1)"
CMD ["uvicorn", "edging.main:app", "--host", "0.0.0.0", "--port", "80"]

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[project]
name = "edging"
version = "0.1.0"
readme = "README.md"
requires-python = ">=3.14"
dependencies = [
"edge-tts>=7.2.8",
"fastapi>=0.116.1",
"uvicorn>=0.35.0",
]

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src/edging/__init__.py Normal file
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"""FastAPI wrapper around edge-tts."""
from __future__ import annotations
import asyncio
import json
import logging
import logging.config
import math
import os
import shutil
import time
import uuid
from contextlib import asynccontextmanager
from typing import Any
import edge_tts
from fastapi import FastAPI, HTTPException, Request
from fastapi.openapi.utils import get_openapi
from fastapi.responses import JSONResponse, Response, StreamingResponse
LOGGER_NAME = "edging"
LOG_LEVEL_ENV_VAR = "EDGING_LOG_LEVEL"
DEFAULT_LOG_LEVEL = "INFO"
SUPPORTED_RESPONSE_FORMATS = {"aac", "flac", "mp3", "opus", "pcm", "wav"}
ALLOWED_STREAM_FORMATS = {"audio"}
ALLOWED_REQUEST_FIELDS = {
"input",
"instructions",
"model",
"response_format",
"speed",
"stream_format",
"voice",
}
RESPONSE_MEDIA_TYPES = {
"aac": "audio/aac",
"flac": "audio/flac",
"mp3": "audio/mpeg",
"opus": "audio/ogg",
"pcm": "audio/pcm",
"wav": "audio/wav",
}
FFMPEG_TRANSCODE_ARGS = {
"aac": ["-f", "mp3", "-i", "pipe:0", "-c:a", "aac", "-f", "adts", "pipe:1"],
"flac": ["-f", "mp3", "-i", "pipe:0", "-c:a", "flac", "-f", "flac", "pipe:1"],
"opus": ["-f", "mp3", "-i", "pipe:0", "-c:a", "libopus", "-f", "opus", "pipe:1"],
"pcm": ["-f", "mp3", "-i", "pipe:0", "-c:a", "pcm_s16le", "-f", "s16le", "pipe:1"],
"wav": ["-f", "mp3", "-i", "pipe:0", "-c:a", "pcm_s16le", "-f", "wav", "pipe:1"],
}
def configure_logging() -> logging.Logger:
"""Configure application logging once."""
log_level = os.getenv(LOG_LEVEL_ENV_VAR, DEFAULT_LOG_LEVEL).upper()
if log_level not in {"CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG"}:
log_level = DEFAULT_LOG_LEVEL
logging.config.dictConfig(
{
"version": 1,
"disable_existing_loggers": False,
"formatters": {
"standard": {
"format": "%(asctime)s %(levelname)s [%(name)s] %(message)s",
}
},
"handlers": {
"default": {
"class": "logging.StreamHandler",
"formatter": "standard",
"level": log_level,
}
},
"loggers": {
LOGGER_NAME: {
"handlers": ["default"],
"level": log_level,
"propagate": False,
},
"uvicorn.error": {"level": log_level},
"uvicorn.access": {"level": "WARNING"},
},
"root": {"handlers": ["default"], "level": log_level},
}
)
return logging.getLogger(LOGGER_NAME)
logger = configure_logging()
class VoiceRegistry:
"""Caches voices from edge-tts for strict validation."""
def __init__(self) -> None:
self._lock = asyncio.Lock()
self._voices: set[str] = set()
async def refresh(self) -> set[str]:
async with self._lock:
logger.debug("Refreshing edge-tts voice cache")
voices = await edge_tts.list_voices()
self._voices = {
voice["ShortName"] for voice in voices if "ShortName" in voice
}
logger.info("Loaded %s voices", len(self._voices))
app.openapi_schema = None
return set(self._voices)
async def get(self) -> set[str]:
if self._voices:
return set(self._voices)
return await self.refresh()
voice_registry = VoiceRegistry()
def make_bad_request(
detail: str, payload: Any, *, errors: list[str] | None = None
) -> HTTPException:
"""Build a 400 response and emit validation logs."""
if errors is None:
errors = [detail]
logger.warning("Request validation failed: %s", "; ".join(errors))
logger.debug("Invalid request payload=%r errors=%r", payload, errors)
return HTTPException(status_code=400, detail=detail)
def parse_request_json(body: bytes) -> Any:
"""Parse raw JSON body with explicit 400 handling."""
if not body:
raise make_bad_request("Request body must not be empty", None)
try:
return json.loads(body)
except json.JSONDecodeError as exc:
raise make_bad_request(
f"Malformed JSON: {exc.msg}", body.decode("utf-8", errors="replace")
) from exc
def validate_payload(payload: Any, voices: set[str]) -> dict[str, Any]:
"""Validate and normalize the create speech payload."""
if not isinstance(payload, dict):
raise make_bad_request("Request body must be a JSON object", payload)
errors: list[str] = []
extra_fields = sorted(set(payload) - ALLOWED_REQUEST_FIELDS)
if extra_fields:
errors.append(f"Unexpected fields: {', '.join(extra_fields)}")
missing_fields = [
field for field in ("input", "model", "voice") if field not in payload
]
if missing_fields:
errors.append(f"Missing required fields: {', '.join(missing_fields)}")
normalized: dict[str, Any] = {}
input_value = payload.get("input")
if "input" in payload:
if not isinstance(input_value, str):
errors.append("Field 'input' must be a string")
elif not input_value.strip():
errors.append("Field 'input' must not be empty")
elif len(input_value) > 4096:
errors.append("Field 'input' must be at most 4096 characters")
else:
normalized["input"] = input_value
voice_value = payload.get("voice")
if "voice" in payload:
if not isinstance(voice_value, str):
errors.append("Field 'voice' must be a string")
elif voice_value not in voices:
errors.append("Field 'voice' must be one of the supported edge-tts voices")
else:
normalized["voice"] = voice_value
response_format_value = payload.get("response_format", "mp3")
if "response_format" in payload and not isinstance(response_format_value, str):
errors.append("Field 'response_format' must be a string")
elif response_format_value not in SUPPORTED_RESPONSE_FORMATS:
errors.append(
"Field 'response_format' must be one of: aac, flac, mp3, opus, pcm, wav"
)
else:
normalized["response_format"] = response_format_value
stream_format_value = payload.get("stream_format")
if "stream_format" in payload:
if not isinstance(stream_format_value, str):
errors.append("Field 'stream_format' must be a string")
elif stream_format_value not in ALLOWED_STREAM_FORMATS:
errors.append("Field 'stream_format' must be 'audio'")
else:
normalized["stream_format"] = stream_format_value
if "speed" in payload:
speed_value = payload["speed"]
if isinstance(speed_value, bool) or not isinstance(speed_value, (int, float)):
errors.append("Field 'speed' must be a number")
elif not math.isfinite(speed_value):
errors.append("Field 'speed' must be finite")
elif not float(speed_value).is_integer():
errors.append(
"Field 'speed' must be an integer percentage supported by edge-tts"
)
else:
normalized["speed"] = int(speed_value)
normalized["rate"] = f"{int(speed_value):+d}%"
else:
normalized["rate"] = "+0%"
if errors:
raise make_bad_request(errors[0], payload, errors=errors)
return normalized
async def synthesize_audio(payload: dict[str, Any]) -> bytes:
"""Generate a full mp3 payload in memory."""
communicate = edge_tts.Communicate(
text=payload["input"],
voice=payload["voice"],
rate=payload["rate"],
)
chunks: list[bytes] = []
async for chunk in communicate.stream():
if chunk["type"] == "audio" and "data" in chunk:
chunks.append(chunk["data"])
if not chunks:
raise RuntimeError("edge-tts returned no audio data")
return b"".join(chunks)
def chunk_bytes(data: bytes, size: int = 65536):
"""Yield bytes in fixed-size chunks."""
for offset in range(0, len(data), size):
yield data[offset : offset + size]
async def transcode_audio(audio: bytes, response_format: str) -> bytes:
"""Convert mp3 bytes from edge-tts into the requested output format."""
if response_format == "mp3":
return audio
ffmpeg_path = shutil.which("ffmpeg")
if ffmpeg_path is None:
raise RuntimeError("ffmpeg is not installed")
command = [
ffmpeg_path,
"-hide_banner",
"-loglevel",
"error",
"-y",
*FFMPEG_TRANSCODE_ARGS[response_format],
]
logger.debug(
"Running ffmpeg for response_format=%s command=%r", response_format, command
)
process = await asyncio.create_subprocess_exec(
*command,
stdin=asyncio.subprocess.PIPE,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
)
stdout, stderr = await process.communicate(audio)
if process.returncode != 0:
stderr_text = stderr.decode("utf-8", errors="replace").strip()
logger.error(
"ffmpeg transcoding failed response_format=%s returncode=%s stderr=%s",
response_format,
process.returncode,
stderr_text,
)
raise RuntimeError(
f"ffmpeg transcoding failed: {stderr_text or 'unknown error'}"
)
logger.debug(
"ffmpeg transcoding complete response_format=%s input_bytes=%s output_bytes=%s",
response_format,
len(audio),
len(stdout),
)
return stdout
@asynccontextmanager
async def lifespan(_: FastAPI):
logger.info("Starting edging application")
try:
await voice_registry.refresh()
except Exception:
logger.exception("Initial voice cache load failed")
yield
logger.info("Stopping edging application")
app = FastAPI(title="edging", lifespan=lifespan)
def custom_openapi() -> dict[str, Any]:
"""Expose a schema that reflects strict runtime validation."""
if app.openapi_schema is not None:
return app.openapi_schema
schema = get_openapi(title=app.title, version="0.1.0", routes=app.routes)
schema["paths"]["/audio/speech"]["post"]["requestBody"] = {
"required": True,
"content": {
"application/json": {
"schema": {
"type": "object",
"additionalProperties": False,
"required": ["input", "model", "voice"],
"properties": {
"input": {
"type": "string",
"maxLength": 4096,
"description": "The text to generate audio for.",
},
"model": {
"type": "string",
"description": "Ignored, kept for OpenAI compatibility.",
},
"voice": {
"type": "string",
"enum": sorted(voice_registry._voices),
"description": "Supported edge-tts voice short name.",
},
"instructions": {
"type": "string",
"description": "Ignored, kept for compatibility.",
},
"response_format": {
"type": "string",
"enum": sorted(SUPPORTED_RESPONSE_FORMATS),
"default": "mp3",
},
"speed": {
"type": "number",
"description": "Integer percentage passed to edge-tts, for example -25 or 10.",
},
"stream_format": {
"type": "string",
"enum": sorted(ALLOWED_STREAM_FORMATS),
},
},
}
}
},
}
app.openapi_schema = schema
return app.openapi_schema
app.openapi = custom_openapi
@app.middleware("http")
async def log_requests(request: Request, call_next):
request_id = request.headers.get("x-request-id", str(uuid.uuid4()))
request.state.request_id = request_id
started_at = time.perf_counter()
logger.debug(
"Request started request_id=%s method=%s path=%s",
request_id,
request.method,
request.url.path,
)
try:
response = await call_next(request)
except Exception:
logger.exception(
"Unhandled request error request_id=%s method=%s path=%s",
request_id,
request.method,
request.url.path,
)
raise
duration_ms = (time.perf_counter() - started_at) * 1000
response.headers["x-request-id"] = request_id
logger.info(
"%s %s -> %s in %.2fms request_id=%s",
request.method,
request.url.path,
response.status_code,
duration_ms,
request_id,
)
logger.debug(
"Request completed request_id=%s status=%s duration_ms=%.2f",
request_id,
response.status_code,
duration_ms,
)
return response
@app.exception_handler(HTTPException)
async def http_exception_handler(request: Request, exc: HTTPException) -> JSONResponse:
logger.debug(
"Returning HTTP error request_id=%s path=%s status=%s detail=%r",
getattr(request.state, "request_id", "unknown"),
request.url.path,
exc.status_code,
exc.detail,
)
return JSONResponse(status_code=exc.status_code, content={"detail": exc.detail})
@app.get("/models")
async def list_models() -> dict[str, list[Any]]:
logger.debug("Serving /models response")
return {"data": []}
@app.post("/audio/speech")
async def create_speech(request: Request):
content_type = request.headers.get("content-type", "")
if not content_type.startswith("application/json"):
raise make_bad_request(
"Content-Type must be application/json", {"content_type": content_type}
)
body = await request.body()
payload = parse_request_json(body)
logger.debug("Create speech request payload=%r", payload)
try:
voices = await voice_registry.get()
except Exception as exc:
logger.exception("Unable to load edge-tts voice list")
raise HTTPException(
status_code=503, detail="Voice list is unavailable"
) from exc
normalized = validate_payload(payload, voices)
logger.info(
"Synthesizing speech voice=%s stream=%s format=%s",
normalized["voice"],
normalized.get("stream_format") == "audio",
normalized["response_format"],
)
logger.debug("Normalized speech request=%r", normalized)
try:
audio = await synthesize_audio(normalized)
audio = await transcode_audio(audio, normalized["response_format"])
media_type = RESPONSE_MEDIA_TYPES[normalized["response_format"]]
if normalized.get("stream_format") == "audio":
return StreamingResponse(chunk_bytes(audio), media_type=media_type)
return Response(content=audio, media_type=media_type)
except HTTPException:
raise
except Exception as exc:
logger.exception("Speech generation failed payload=%r", normalized)
raise HTTPException(status_code=502, detail="Speech generation failed") from exc

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