53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
from services.ollama_service import OllamaService
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class FakeResponse:
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def __init__(self, status_code, payload=None, text=""):
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self.status_code = status_code
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self._payload = payload or {}
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self.text = text
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def json(self):
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return self._payload
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def test_generate_embedding_uses_current_embed_endpoint(monkeypatch):
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calls = []
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def fake_post(url, json, timeout):
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calls.append((url, json, timeout))
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return FakeResponse(200, {"embeddings": [[0.1, 0.2, 0.3]]})
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monkeypatch.setattr("services.ollama_service.requests.post", fake_post)
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vec = OllamaService().generate_embedding("hello", model="bge-m3:latest", host="http://ollama", timeout=7)
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assert vec == [0.1, 0.2, 0.3]
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assert calls == [
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("http://ollama/api/embed", {"model": "bge-m3:latest", "input": "hello"}, 7),
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]
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def test_generate_embedding_falls_back_to_legacy_embeddings_endpoint(monkeypatch):
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calls = []
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def fake_post(url, json, timeout):
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calls.append((url, json, timeout))
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if url.endswith("/api/embed"):
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return FakeResponse(404, text="not found")
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return FakeResponse(200, {"embedding": [0.4, 0.5]})
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monkeypatch.setattr("services.ollama_service.requests.post", fake_post)
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vec = OllamaService().generate_embedding("hello", model="bge-m3:latest", host="http://ollama/", timeout=9)
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assert vec == [0.4, 0.5]
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assert calls == [
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("http://ollama/api/embed", {"model": "bge-m3:latest", "input": "hello"}, 9),
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("http://ollama/api/embeddings", {"model": "bge-m3:latest", "prompt": "hello"}, 9),
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]
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def test_extract_embedding_accepts_flat_embeddings_shape():
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assert OllamaService._extract_embedding({"embeddings": [0.1, 0.2]}) == [0.1, 0.2]
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