82 lines
2.3 KiB
Python
82 lines
2.3 KiB
Python
from io import StringIO
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import pandas as pd
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import pytest
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from langflow.services.chat.cache import CacheService
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from PIL import Image
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@pytest.fixture
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def cache_service():
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return CacheService()
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def test_cache_service_attach_detach_notify(cache_service):
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observer_called = False
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def observer():
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nonlocal observer_called
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observer_called = True
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cache_service.attach(observer)
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cache_service.notify()
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assert observer_called
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observer_called = False
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cache_service.detach(observer)
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cache_service.notify()
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assert not observer_called
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def test_cache_service_client_context(cache_service):
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with cache_service.set_client_id("client1"):
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cache_service.add("foo", "bar", "string")
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assert cache_service.get("foo") == {
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"obj": "bar",
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"type": "string",
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"extension": "str",
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}
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with cache_service.set_client_id("client2"):
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cache_service.add("baz", "qux", "string")
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assert cache_service.get("baz") == {
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"obj": "qux",
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"type": "string",
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"extension": "str",
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}
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with pytest.raises(KeyError):
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cache_service.get("foo")
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def test_cache_service_add_pandas(cache_service):
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df = pd.DataFrame({"col1": [1, 2], "col2": [3, 4]})
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with cache_service.set_client_id("client1"):
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cache_service.add_pandas("test_df", df)
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cached_df = cache_service.get("test_df")
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assert cached_df["type"] == "pandas"
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assert cached_df["extension"] == "csv"
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read_df = pd.read_csv(StringIO(cached_df["obj"]), index_col=0)
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pd.testing.assert_frame_equal(df, read_df)
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def test_cache_service_add_image(cache_service):
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img = Image.new("RGB", (50, 50), color="red")
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with cache_service.set_client_id("client1"):
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cache_service.add_image("test_image", img)
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cached_img = cache_service.get("test_image")
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assert cached_img["type"] == "image"
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assert cached_img["extension"] == "png"
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assert isinstance(cached_img["obj"], Image.Image)
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def test_cache_service_get_last(cache_service):
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with cache_service.set_client_id("client1"):
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cache_service.add("foo", "bar", "string")
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cache_service.add("baz", "qux", "string")
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last_item = cache_service.get_last()
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assert last_item == {"obj": "qux", "type": "string", "extension": "str"}
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