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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.
24 lines
701 B
Python
24 lines
701 B
Python
import pytest
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@pytest.fixture(scope="session")
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def _mpnet_tokenizer():
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"""Real WordPiece tokenizer; skipped when the hub is unreachable."""
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pytest.importorskip("tokenizers")
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from tokenizers import Tokenizer
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try:
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tokenizer = Tokenizer.from_pretrained("sentence-transformers/all-mpnet-base-v2")
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except Exception as exc: # offline CI
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pytest.skip(f"tokenizer unavailable: {exc}")
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tokenizer.no_padding()
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tokenizer.no_truncation()
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return tokenizer
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@pytest.fixture
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def hf_counter(_mpnet_tokenizer):
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from docsgpt.parser.tokenization import HuggingFaceCounter
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return HuggingFaceCounter(_mpnet_tokenizer, "sentence-transformers/all-mpnet-base-v2")
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