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