Merge pull request #2823 from arc53-machine/fix-chunk-token-counts

Show token counts on source chunks
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Alex authored and GitHub committed 2026-09-22 16:45:42 +01:00
commit 8a9f3a75d6
8 files changed
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@@ -170,6 +170,115 @@ class TestGetChunks:
assert response.status_code == 200
assert response.json["total"] == 1
def test_backfills_missing_token_count(self, app, pg_conn):
# Chunks indexed before token_count was recorded (and any ingest path
# that dropped it) came back without the key, so the UI printed "-".
from docsgpt.api.user.sources.chunks import GetChunks
user = "u-tokens"
src = _seed_source(pg_conn, user=user)
fake_store = MagicMock()
fake_store.get_chunks.return_value = [
{"doc_id": "a", "text": "hello world", "metadata": {}},
{"doc_id": "b", "text": "second chunk", "metadata": None},
{"doc_id": "c", "text": "third chunk", "metadata": {"token_count": 42}},
]
with _patch_db(pg_conn), patch(
"docsgpt.api.user.sources.chunks.get_vector_store",
return_value=fake_store,
), app.test_request_context(f"/api/get_chunks?id={src['id']}"):
from flask import request
request.decoded_token = {"sub": user}
response = GetChunks().get()
assert response.status_code == 200
chunks = response.json["chunks"]
assert all(c["metadata"]["token_count"] > 0 for c in chunks)
# An already-recorded count is left alone, whatever tokenizer produced it.
assert chunks[2]["metadata"]["token_count"] == 42
@pytest.mark.parametrize(
"stored",
["", 0, -1, "abc", None, {"n": 1}, "inf", "-inf", "nan", float("inf")],
)
def test_recomputes_unusable_token_count(self, app, pg_conn, stored):
from docsgpt.api.user.sources.chunks import GetChunks
user = f"u-tok-{str(stored)[:6]}"
src = _seed_source(pg_conn, user=user)
fake_store = MagicMock()
fake_store.get_chunks.return_value = [
{"doc_id": "a", "text": "some text here", "metadata": {"token_count": stored}}
]
with _patch_db(pg_conn), patch(
"docsgpt.api.user.sources.chunks.get_vector_store",
return_value=fake_store,
), app.test_request_context(f"/api/get_chunks?id={src['id']}"):
from flask import request
request.decoded_token = {"sub": user}
response = GetChunks().get()
assert response.status_code == 200
assert response.json["chunks"][0]["metadata"]["token_count"] > 0
def test_keeps_numeric_string_token_count(self, app, pg_conn):
# Some stores round-trip metadata values as strings; a usable count
# there is still a count and must not be recomputed.
from docsgpt.api.user.sources.chunks import GetChunks
user = "u-tok-str"
src = _seed_source(pg_conn, user=user)
fake_store = MagicMock()
fake_store.get_chunks.return_value = [
{"doc_id": "a", "text": "some text here", "metadata": {"token_count": "17"}}
]
with _patch_db(pg_conn), patch(
"docsgpt.api.user.sources.chunks.get_vector_store",
return_value=fake_store,
), app.test_request_context(f"/api/get_chunks?id={src['id']}"):
from flask import request
request.decoded_token = {"sub": user}
response = GetChunks().get()
assert response.json["chunks"][0]["metadata"]["token_count"] == "17"
def test_backfills_only_the_requested_page(self, app, pg_conn):
# Counting is per-response work, so it must not run over chunks the
# caller never sees.
from docsgpt.api.user.sources.chunks import GetChunks
user = "u-tok-page"
src = _seed_source(pg_conn, user=user)
fake_store = MagicMock()
fake_store.get_chunks.return_value = [
{"doc_id": str(i), "text": f"chunk number {i}", "metadata": {}}
for i in range(10)
]
with _patch_db(pg_conn), patch(
"docsgpt.api.user.sources.chunks.get_vector_store",
return_value=fake_store,
), patch(
"docsgpt.api.user.sources.chunks.num_tokens_from_string",
return_value=7,
) as counter, app.test_request_context(
f"/api/get_chunks?id={src['id']}&per_page=2&page=1"
):
from flask import request
request.decoded_token = {"sub": user}
response = GetChunks().get()
assert response.status_code == 200
assert counter.call_count == 2
assert [c["metadata"]["token_count"] for c in response.json["chunks"]] == [7, 7]
def test_returns_500_on_vector_store_error(self, app, pg_conn):
from docsgpt.api.user.sources.chunks import GetChunks