59b62aae17
🔧 chore(test_graph.py): add missing imports for AgentVertex and VectorStoreVertex to fix NameError 🔧 chore(test_graph.py): add missing import for langchain.agents.AgentExecutor to fix NameError 🔧 chore(test_graph.py): add missing import for langchain.graph.Graph to fix NameError 🔧 chore(test_graph.py): add missing import for langflow.processing.process.get_result_and_thought to fix NameError 🔧 chore(test_graph.py): add missing import for langflow.utils.payload.get_root_node to fix NameError 🔧 chore(test_graph.py): add missing import for langchain.llms.fake.FakeListLLM to fix NameError 🔧 chore(test_graph.py): add missing import for langchain.chains.base.Chain to fix NameError 🔧 chore(test_graph.py): add missing import for langflow.graph.edge.base.Edge to fix NameError 🔧 chore(test_graph.py): add missing import for langflow.graph.vertex.base.Vertex to fix NameError 🔧 chore(test_graph.py): add missing import for langflow.graph.vertex.types.ToolkitVertex to fix NameError 🔧 chore(test_graph.py): add missing import for langflow.graph.vertex.types.FileToolVertex to fix NameError 🔧 chore(test_graph.py): add missing import for langflow.graph.vertex.types.LLMVertex to fix NameError 🔧 chore(test_graph.py): add missing import for langflow.graph.vertex.types.AgentVertex to fix NameError 🔧 chore(test_graph.py): add missing import for langflow.graph.vertex.types.VectorStoreVertex to fix NameError 🔧 chore(test_graph.py): add missing import for langchain.agents.AgentExecutor to fix NameError 🔧 chore(test_graph.py): add missing import for langchain.graph.Graph to fix NameError 🔧 chore(test_graph.py): add missing import for langflow.processing.process.get_result_and_thought to fix NameError 🔧 chore(test_graph.py): add missing import for langflow.utils.payload.get_root_node to fix NameError 🔧 chore(test_graph.py): add missing import for langchain.llms.fake.FakeListLLM to fix NameError 🔧 chore(test_graph.py): add missing import for langchain.chains.base.Chain to
235 lines
7.2 KiB
Python
235 lines
7.2 KiB
Python
from langflow.processing.process import process_tweaks
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from langflow.services.utils import get_session_service
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def test_no_tweaks():
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graph_data = {
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"data": {
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"nodes": [
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{
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"id": "node1",
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"data": {
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"node": {
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"template": {
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"param1": {"value": 1},
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"param2": {"value": 2},
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}
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}
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},
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},
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{
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"id": "node2",
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"data": {
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"node": {
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"template": {
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"param1": {"value": 3},
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"param2": {"value": 4},
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}
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}
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},
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},
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]
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}
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}
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tweaks = {}
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result = process_tweaks(graph_data, tweaks)
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assert result == graph_data
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def test_single_tweak():
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graph_data = {
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"data": {
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"nodes": [
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{
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"id": "node1",
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"data": {
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"node": {
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"template": {
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"param1": {"value": 1},
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"param2": {"value": 2},
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}
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}
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},
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},
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{
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"id": "node2",
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"data": {
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"node": {
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"template": {
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"param1": {"value": 3},
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"param2": {"value": 4},
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}
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}
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},
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},
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]
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}
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}
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tweaks = {"node1": {"param1": 5}}
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expected_result = {
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"data": {
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"nodes": [
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{
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"id": "node1",
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"data": {
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"node": {
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"template": {
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"param1": {"value": 5},
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"param2": {"value": 2},
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}
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}
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},
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},
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{
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"id": "node2",
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"data": {
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"node": {
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"template": {
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"param1": {"value": 3},
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"param2": {"value": 4},
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}
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}
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},
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},
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]
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}
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}
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result = process_tweaks(graph_data, tweaks)
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assert result == expected_result
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def test_multiple_tweaks():
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graph_data = {
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"data": {
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"nodes": [
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{
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"id": "node1",
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"data": {
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"node": {
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"template": {
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"param1": {"value": 1},
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"param2": {"value": 2},
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}
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}
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},
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},
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{
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"id": "node2",
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"data": {
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"node": {
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"template": {
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"param1": {"value": 3},
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"param2": {"value": 4},
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}
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}
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},
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},
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]
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}
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}
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tweaks = {
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"node1": {"param1": 5, "param2": 6},
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"node2": {"param1": 7},
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}
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expected_result = {
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"data": {
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"nodes": [
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{
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"id": "node1",
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"data": {
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"node": {
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"template": {
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"param1": {"value": 5},
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"param2": {"value": 6},
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}
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}
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},
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},
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{
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"id": "node2",
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"data": {
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"node": {
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"template": {
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"param1": {"value": 7},
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"param2": {"value": 4},
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}
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}
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},
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},
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]
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}
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}
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result = process_tweaks(graph_data, tweaks)
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assert result == expected_result
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def test_tweak_not_in_template():
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graph_data = {
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"data": {
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"nodes": [
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{
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"id": "node1",
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"data": {
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"node": {
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"template": {
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"param1": {"value": 1},
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"param2": {"value": 2},
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}
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}
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},
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},
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{
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"id": "node2",
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"data": {
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"node": {
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"template": {
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"param1": {"value": 3},
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"param2": {"value": 4},
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}
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}
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},
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},
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]
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}
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}
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tweaks = {"node1": {"param3": 5}}
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result = process_tweaks(graph_data, tweaks)
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assert result == graph_data
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def test_load_langchain_object_with_cached_session(client, basic_graph_data):
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# Provide a non-existent session_id
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session_service = get_session_service()
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session_id1 = "non-existent-session-id"
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graph1, artifacts1 = session_service.load_session(session_id1, basic_graph_data)
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# Use the new session_id to get the langchain_object again
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graph2, artifacts2 = session_service.load_session(session_id1, basic_graph_data)
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assert graph1 == graph2
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assert artifacts1 == artifacts2
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def test_load_langchain_object_with_no_cached_session(client, basic_graph_data):
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# Provide a non-existent session_id
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session_service = get_session_service()
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session_id1 = "non-existent-session-id"
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session_id = session_service.build_key(session_id1, basic_graph_data)
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graph1, artifacts1 = session_service.load_session(session_id, basic_graph_data)
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# Clear the cache
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session_service.clear_session(session_id)
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# Use the new session_id to get the langchain_object again
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graph2, artifacts2 = session_service.load_session(session_id, basic_graph_data)
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assert id(graph1) != id(graph2)
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# Since the cache was cleared, objects should be different
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def test_load_langchain_object_without_session_id(client, basic_graph_data):
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# Provide a non-existent session_id
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session_service = get_session_service()
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session_id1 = None
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graph1, artifacts1 = session_service.load_session(session_id1, basic_graph_data)
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# Use the new session_id to get the langchain_object again
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graph2, artifacts2 = session_service.load_session(session_id1, basic_graph_data)
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assert graph1 == graph2
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