mirror of
https://github.com/tiennm99/DocsGPT.git
synced 2026-10-03 17:11:24 +00:00
Alex
574f96341e
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.
76 lines
2.7 KiB
Python
76 lines
2.7 KiB
Python
"""Tests for ChunkerCreator registry + byte-identical classic_chunk parity."""
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from __future__ import annotations
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import pytest
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from docsgpt.parser.chunking import Chunker
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from docsgpt.parser.chunking_creator import ChunkerCreator
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from docsgpt.parser.schema.base import Document
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def _docs():
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"""Representative mix: a small doc, a large splittable doc, a tiny doc."""
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return [
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Document(text="A short paragraph of text.", doc_id="small"),
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Document(text="word " * 4000, doc_id="large"),
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Document(text="tiny", doc_id="below-min"),
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Document(text="header1\nheader2\nheader3\n" + "lorem " * 3000, doc_id="hdr"),
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]
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def _serialize(chunks):
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"""Stable, comparable view of a chunk list."""
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return [(c.doc_id, c.text, c.extra_info) for c in chunks]
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@pytest.mark.unit
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class TestChunkerCreator:
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def test_classic_chunk_is_registered(self):
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assert "classic_chunk" in ChunkerCreator.chunkers
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assert ChunkerCreator.chunkers["classic_chunk"] is Chunker
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def test_create_chunker_returns_chunker(self):
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chunker = ChunkerCreator.create_chunker(
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"classic_chunk", max_tokens=1250, min_tokens=150,
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)
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assert isinstance(chunker, Chunker)
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assert chunker.max_tokens == 1250
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assert chunker.min_tokens == 150
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def test_create_chunker_unknown_strategy_raises(self):
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with pytest.raises(ValueError, match="No chunker class found"):
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ChunkerCreator.create_chunker("does_not_exist")
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def test_register_is_idempotent_and_overrides(self):
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class Dummy:
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def __init__(self, **kwargs):
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self.kwargs = kwargs
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try:
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ChunkerCreator.register("dummy_strategy", Dummy)
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inst = ChunkerCreator.create_chunker("dummy_strategy", x=1)
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assert isinstance(inst, Dummy)
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assert inst.kwargs == {"x": 1}
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finally:
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ChunkerCreator.chunkers.pop("dummy_strategy", None)
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@pytest.mark.unit
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class TestByteIdenticalParity:
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def test_creator_output_matches_direct_chunker(self):
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# The refactor must not change classic_chunk output: a chunker built
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# via ChunkerCreator must produce identical chunks to the old direct
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# ``Chunker(...)`` instantiation for the same input + params.
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params = dict(max_tokens=1250, min_tokens=150, duplicate_headers=False)
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direct = Chunker(chunking_strategy="classic_chunk", **params)
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via_creator = ChunkerCreator.create_chunker(
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"classic_chunk", chunking_strategy="classic_chunk", **params,
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)
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direct_out = direct.chunk(documents=_docs())
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creator_out = via_creator.chunk(documents=_docs())
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assert _serialize(creator_out) == _serialize(direct_out)
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