1d5f156a22
refactor(test_cache.py): update import statements and function names test(cache): add tests for load_or_build_langchain_object, build_langchain_object_with_caching, build_graph, and cache size limit
84 lines
2.5 KiB
Python
84 lines
2.5 KiB
Python
import json
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import pytest
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from langflow.interface.run import (
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build_graph,
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build_langchain_object_with_caching,
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load_or_build_langchain_object,
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)
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def get_graph(_type="basic"):
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"""Get a graph from a json file"""
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if _type == "basic":
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path = pytest.BASIC_EXAMPLE_PATH
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elif _type == "complex":
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path = pytest.COMPLEX_EXAMPLE_PATH
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elif _type == "openapi":
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path = pytest.OPENAPI_EXAMPLE_PATH
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with open(path, "r") as f:
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flow_graph = json.load(f)
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return flow_graph["data"]
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@pytest.fixture
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def basic_data_graph():
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return get_graph()
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@pytest.fixture
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def complex_data_graph():
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return get_graph("complex")
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@pytest.fixture
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def openapi_data_graph():
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return get_graph("openapi")
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def langchain_objects_are_equal(obj1, obj2):
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return str(obj1) == str(obj2)
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# Test load_or_build_langchain_object
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def test_load_or_build_langchain_object_first_message_true(basic_data_graph):
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build_langchain_object_with_caching.clear_cache()
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graph = load_or_build_langchain_object(basic_data_graph, is_first_message=True)
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assert graph is not None
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def test_load_or_build_langchain_object_first_message_false(basic_data_graph):
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graph = load_or_build_langchain_object(basic_data_graph, is_first_message=False)
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assert graph is not None
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# Test build_langchain_object_with_caching
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def test_build_langchain_object_with_caching(basic_data_graph):
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build_langchain_object_with_caching.clear_cache()
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graph = build_langchain_object_with_caching(basic_data_graph)
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assert graph is not None
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# Test build_graph
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def test_build_graph(basic_data_graph):
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graph = build_graph(basic_data_graph)
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assert graph is not None
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assert len(graph.nodes) == len(basic_data_graph["nodes"])
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assert len(graph.edges) == len(basic_data_graph["edges"])
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# Test cache size limit
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def test_cache_size_limit(basic_data_graph):
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build_langchain_object_with_caching.clear_cache()
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for i in range(11):
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modified_data_graph = basic_data_graph.copy()
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nodes = modified_data_graph["nodes"]
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node_id = nodes[0]["id"]
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# Now we replace all instances ode node_id with a new id in the json
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json_string = json.dumps(modified_data_graph)
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modified_json_string = json_string.replace(node_id, f"{node_id}_{i}")
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modified_data_graph_new_id = json.loads(modified_json_string)
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build_langchain_object_with_caching(modified_data_graph_new_id)
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assert len(build_langchain_object_with_caching.cache) == 10
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