Files
NexusOS/tests/test_documents.py
T
jonandClaude Opus 4.8 ac0eb1e5f6 feat(rag): PDF/docx ingest + chat citations
- Upload endpoint (base64 JSON, no multipart dep): extracts text from
  pdf/docx/txt/md via pypdf + python-docx, then runs the existing
  chunk/embed pipeline. Documents page uploads files straight through.
- Citations: the chat stream emits an SSE `sources` event listing the
  documents that fed the answer; the UI shows them as chips under the reply.
- Deps: pypdf, python-docx (both pure-Python, Windows-safe).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-23 13:48:32 -05:00

74 lines
2.6 KiB
Python

"""Document ingest / RAG store — hermetic (fake embeddings, temp DB)."""
import asyncio
import tempfile
from pathlib import Path
from synapse.memory.store import PersistentMemoryStore
def _store():
return PersistentMemoryStore(Path(tempfile.mkdtemp()) / "t.db")
def test_chunker_packs_and_splits():
s = _store()
one = s._chunk_text("short one.\n\nshort two.")
assert one == ["short one.\n\nshort two."] # both fit one chunk
many = s._chunk_text("a" * 700 + "\n\n" + "b" * 700)
assert len(many) == 2 # each paragraph near the size cap -> own chunk
async def _fake_embed(text):
kws = ["lego", "star", "wars", "gpu", "vega"]
v = [float(text.lower().count(k)) for k in kws]
return v if any(v) else None
def test_add_list_search_delete_roundtrip():
async def run():
s = _store()
r = await s.add_document(
"Guide",
"Beat the lego star wars boss with the force.\n\nUnrelated gpu vega notes.",
_fake_embed,
)
assert r["chunks"] >= 1
assert [d["title"] for d in s.list_documents()] == ["Guide"]
hits = await s.search_documents("lego star wars", _fake_embed, limit=2, min_score=0.1)
assert hits and "lego" in hits[0]["text"].lower()
# scores are sorted descending
assert all(hits[i]["score"] >= hits[i + 1]["score"] for i in range(len(hits) - 1))
# get_document returns ordered chunks for the viewer
chunks = s.get_document(r["doc_id"])
assert [c["chunk_idx"] for c in chunks] == list(range(len(chunks)))
assert s.delete_document(r["doc_id"]) is True
assert s.list_documents() == []
assert s.get_document(r["doc_id"]) == [] # gone -> no chunks
assert s.delete_document(r["doc_id"]) is False # already gone
asyncio.run(run())
def test_search_empty_query_returns_nothing():
s = _store()
assert asyncio.run(s.search_documents("", _fake_embed)) == []
def test_extract_text_by_type():
from synapse.main import _extract_text
# plain text / markdown -> UTF-8 decode
assert _extract_text("notes.md", b"# Title\n\nbody") == "# Title\n\nbody"
assert _extract_text("x.txt", "café".encode("utf-8")) == "café"
# a real (tiny) PDF built with pypdf -> text extracted back out
from pypdf import PdfWriter, PdfReader
import io
w = PdfWriter()
w.add_blank_page(width=200, height=200)
buf = io.BytesIO(); w.write(buf)
out = _extract_text("blank.pdf", buf.getvalue())
assert isinstance(out, str) # blank page -> "" or whitespace, never raises
assert PdfReader(io.BytesIO(buf.getvalue())).pages # sanity: it was a valid PDF