Files
DocsGPT/tests/tts/test_google_tts.py
Alex 574f96341e refactor: rename the application package to docsgpt
The backend import package is now docsgpt, the name it will carry on PyPI;
application was far too generic to install into anyone's site-packages.
git mv plus a mechanical rewrite of every import, dotted string and path
reference: 734 Python files, the compose files, Dockerfile, workflows, docs,
setup scripts, devcontainer, k8s manifests, vscode config, pytest and coverage
config, .gitignore. Behaviour is unchanged.

Kept for one release:
- A top-level application package whose meta-path finder resolves
  application.x.y to the already-imported docsgpt.x.y object, so old imports
  and entry points (celery -A application.app.celery,
  uvicorn application.asgi:asgi_app) keep working with a FutureWarning.
- Celery registers every application.* task name as an alias of its
  docsgpt.* task on start-up, so messages queued by the previous release still
  run. The redbeat key prefix moves to redbeat:docsgpt:v2: so schedule entries
  the previous release wrote are left unread instead of firing twice.

The backend image builds from the repository root (docker build -f
docsgpt/Dockerfile .) so it can ship the alias package; a root .dockerignore
allow-lists docsgpt/ and application/ and keeps caches, local data, .env
files, the sample index files and the Dockerfile out. Compose and the image
workflows point at the new context.
2026-09-07 10:20:43 +01:00

25 lines
683 B
Python

import base64
from docsgpt.tts.google_tts import GoogleTTS
def test_google_tts_text_to_speech(monkeypatch):
captured = {}
class DummyGTTS:
def __init__(self, *, text, lang, slow):
captured["args"] = {"text": text, "lang": lang, "slow": slow}
def write_to_fp(self, fp):
fp.write(b"synthetic-audio")
monkeypatch.setattr("docsgpt.tts.google_tts.gTTS", DummyGTTS)
tts = GoogleTTS()
audio_base64, lang = tts.text_to_speech("hello world")
assert captured["args"] == {"text": "hello world", "lang": "en", "slow": False}
assert lang == "en"
assert base64.b64decode(audio_base64.encode()) == b"synthetic-audio"