From 08696773feed0485c84c93cbaa659a1f0359bc1c Mon Sep 17 00:00:00 2001 From: Yiorgis Gozadinos Date: Tue, 5 May 2026 14:38:03 +0300 Subject: [PATCH] Fix vcr test --- ...returns_zero_for_doc_without_pictures.yaml | 42 +++++++++++++++++++ tests/test_rebuild.py | 1 + 2 files changed, 43 insertions(+) create mode 100644 tests/cassettes/test_rebuild/test_patch_picture_descriptions_returns_zero_for_doc_without_pictures.yaml diff --git a/tests/cassettes/test_rebuild/test_patch_picture_descriptions_returns_zero_for_doc_without_pictures.yaml b/tests/cassettes/test_rebuild/test_patch_picture_descriptions_returns_zero_for_doc_without_pictures.yaml new file mode 100644 index 00000000..07ba219b --- /dev/null +++ b/tests/cassettes/test_rebuild/test_patch_picture_descriptions_returns_zero_for_doc_without_pictures.yaml @@ -0,0 +1,42 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '93' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Just text, no pictures. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 7 + total_tokens: 7 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/test_rebuild.py b/tests/test_rebuild.py index 51c0b90a..1ecc00a3 100644 --- a/tests/test_rebuild.py +++ b/tests/test_rebuild.py @@ -559,6 +559,7 @@ async def test_rebuild_descriptions_skips_already_described(temp_db_path, monkey assert text == "Pre-existing description." +@pytest.mark.vcr() @pytest.mark.asyncio async def test_patch_picture_descriptions_returns_zero_for_doc_without_pictures( temp_db_path,