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Merge pull request #2823 from arc53-machine/fix-chunk-token-counts
Show token counts on source chunks
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@@ -170,6 +170,115 @@ class TestGetChunks:
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assert response.status_code == 200
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assert response.json["total"] == 1
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def test_backfills_missing_token_count(self, app, pg_conn):
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# Chunks indexed before token_count was recorded (and any ingest path
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# that dropped it) came back without the key, so the UI printed "-".
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from docsgpt.api.user.sources.chunks import GetChunks
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user = "u-tokens"
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src = _seed_source(pg_conn, user=user)
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fake_store = MagicMock()
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fake_store.get_chunks.return_value = [
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{"doc_id": "a", "text": "hello world", "metadata": {}},
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{"doc_id": "b", "text": "second chunk", "metadata": None},
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{"doc_id": "c", "text": "third chunk", "metadata": {"token_count": 42}},
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]
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with _patch_db(pg_conn), patch(
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"docsgpt.api.user.sources.chunks.get_vector_store",
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return_value=fake_store,
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), app.test_request_context(f"/api/get_chunks?id={src['id']}"):
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from flask import request
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request.decoded_token = {"sub": user}
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response = GetChunks().get()
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assert response.status_code == 200
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chunks = response.json["chunks"]
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assert all(c["metadata"]["token_count"] > 0 for c in chunks)
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# An already-recorded count is left alone, whatever tokenizer produced it.
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assert chunks[2]["metadata"]["token_count"] == 42
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@pytest.mark.parametrize(
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"stored",
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["", 0, -1, "abc", None, {"n": 1}, "inf", "-inf", "nan", float("inf")],
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)
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def test_recomputes_unusable_token_count(self, app, pg_conn, stored):
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from docsgpt.api.user.sources.chunks import GetChunks
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user = f"u-tok-{str(stored)[:6]}"
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src = _seed_source(pg_conn, user=user)
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fake_store = MagicMock()
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fake_store.get_chunks.return_value = [
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{"doc_id": "a", "text": "some text here", "metadata": {"token_count": stored}}
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]
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with _patch_db(pg_conn), patch(
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"docsgpt.api.user.sources.chunks.get_vector_store",
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return_value=fake_store,
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), app.test_request_context(f"/api/get_chunks?id={src['id']}"):
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from flask import request
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request.decoded_token = {"sub": user}
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response = GetChunks().get()
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assert response.status_code == 200
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assert response.json["chunks"][0]["metadata"]["token_count"] > 0
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def test_keeps_numeric_string_token_count(self, app, pg_conn):
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# Some stores round-trip metadata values as strings; a usable count
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# there is still a count and must not be recomputed.
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from docsgpt.api.user.sources.chunks import GetChunks
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user = "u-tok-str"
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src = _seed_source(pg_conn, user=user)
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fake_store = MagicMock()
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fake_store.get_chunks.return_value = [
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{"doc_id": "a", "text": "some text here", "metadata": {"token_count": "17"}}
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]
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with _patch_db(pg_conn), patch(
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"docsgpt.api.user.sources.chunks.get_vector_store",
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return_value=fake_store,
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), app.test_request_context(f"/api/get_chunks?id={src['id']}"):
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from flask import request
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request.decoded_token = {"sub": user}
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response = GetChunks().get()
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assert response.json["chunks"][0]["metadata"]["token_count"] == "17"
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def test_backfills_only_the_requested_page(self, app, pg_conn):
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# Counting is per-response work, so it must not run over chunks the
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# caller never sees.
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from docsgpt.api.user.sources.chunks import GetChunks
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user = "u-tok-page"
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src = _seed_source(pg_conn, user=user)
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fake_store = MagicMock()
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fake_store.get_chunks.return_value = [
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{"doc_id": str(i), "text": f"chunk number {i}", "metadata": {}}
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for i in range(10)
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]
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with _patch_db(pg_conn), patch(
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"docsgpt.api.user.sources.chunks.get_vector_store",
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return_value=fake_store,
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), patch(
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"docsgpt.api.user.sources.chunks.num_tokens_from_string",
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return_value=7,
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) as counter, app.test_request_context(
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f"/api/get_chunks?id={src['id']}&per_page=2&page=1"
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):
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from flask import request
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request.decoded_token = {"sub": user}
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response = GetChunks().get()
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assert response.status_code == 200
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assert counter.call_count == 2
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assert [c["metadata"]["token_count"] for c in response.json["chunks"]] == [7, 7]
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def test_returns_500_on_vector_store_error(self, app, pg_conn):
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from docsgpt.api.user.sources.chunks import GetChunks
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