Testing Graph Creation and Schema Validation in AutoGPT
This test suite validates the graph creation and schema handling functionality in AutoGPT’s backend, focusing on node connections, link validations, and input/output schema generation. The tests ensure proper graph structure maintenance and schema consistency.
Test Coverage Overview
Implementation Analysis
Technical Details
Best Practices Demonstrated
significant-gravitas/autogpt
autogpt_platform/backend/test/data/test_graph.py
from typing import Any
from uuid import UUID
import pytest
from backend.blocks.basic import AgentInputBlock, AgentOutputBlock, StoreValueBlock
from backend.data.block import BlockSchema
from backend.data.graph import Graph, Link, Node
from backend.data.model import SchemaField
from backend.data.user import DEFAULT_USER_ID
from backend.server.model import CreateGraph
from backend.util.test import SpinTestServer
@pytest.mark.asyncio(scope="session")
async def test_graph_creation(server: SpinTestServer):
"""
Test the creation of a graph with nodes and links.
This test ensures that:
1. A graph can be successfully created with valid connections.
2. The created graph has the correct structure and properties.
Args:
server (SpinTestServer): The test server instance.
"""
value_block = StoreValueBlock().id
input_block = AgentInputBlock().id
graph = Graph(
id="test_graph",
name="TestGraph",
description="Test graph",
nodes=[
Node(id="node_1", block_id=value_block),
Node(id="node_2", block_id=input_block, input_default={"name": "input"}),
Node(id="node_3", block_id=value_block),
],
links=[
Link(
source_id="node_1",
sink_id="node_2",
source_name="output",
sink_name="name",
),
],
)
create_graph = CreateGraph(graph=graph)
created_graph = await server.agent_server.test_create_graph(
create_graph, DEFAULT_USER_ID
)
assert UUID(created_graph.id)
assert created_graph.name == "TestGraph"
assert len(created_graph.nodes) == 3
assert UUID(created_graph.nodes[0].id)
assert UUID(created_graph.nodes[1].id)
assert UUID(created_graph.nodes[2].id)
nodes = created_graph.nodes
links = created_graph.links
assert len(links) == 1
assert links[0].source_id != links[0].sink_id
assert links[0].source_id in {nodes[0].id, nodes[1].id, nodes[2].id}
assert links[0].sink_id in {nodes[0].id, nodes[1].id, nodes[2].id}
@pytest.mark.asyncio(scope="session")
async def test_get_input_schema(server: SpinTestServer):
"""
Test the get_input_schema method of a created graph.
This test ensures that:
1. A graph can be created with a single node.
2. The input schema of the created graph is correctly generated.
3. The input schema contains the expected input name and node id.
Args:
server (SpinTestServer): The test server instance.
"""
value_block = StoreValueBlock().id
input_block = AgentInputBlock().id
output_block = AgentOutputBlock().id
graph = Graph(
name="TestInputSchema",
description="Test input schema",
nodes=[
Node(
id="node_0_a",
block_id=input_block,
input_default={"name": "in_key_a", "title": "Key A", "value": "A"},
metadata={"id": "node_0_a"},
),
Node(
id="node_0_b",
block_id=input_block,
input_default={"name": "in_key_b", "advanced": True},
metadata={"id": "node_0_b"},
),
Node(id="node_1", block_id=value_block, metadata={"id": "node_1"}),
Node(
id="node_2",
block_id=output_block,
input_default={
"name": "out_key",
"description": "This is an output key",
},
metadata={"id": "node_2"},
),
],
links=[
Link(
source_id="node_0_a",
sink_id="node_1",
source_name="result",
sink_name="input",
),
Link(
source_id="node_0_b",
sink_id="node_1",
source_name="result",
sink_name="input",
),
Link(
source_id="node_1",
sink_id="node_2",
source_name="output",
sink_name="value",
),
],
)
create_graph = CreateGraph(graph=graph)
created_graph = await server.agent_server.test_create_graph(
create_graph, DEFAULT_USER_ID
)
class ExpectedInputSchema(BlockSchema):
in_key_a: Any = SchemaField(title="Key A", default="A", advanced=False)
in_key_b: Any = SchemaField(title="in_key_b", advanced=True)
class ExpectedOutputSchema(BlockSchema):
out_key: Any = SchemaField(
description="This is an output key",
title="out_key",
advanced=False,
)
input_schema = created_graph.input_schema
input_schema["title"] = "ExpectedInputSchema"
assert input_schema == ExpectedInputSchema.jsonschema()
output_schema = created_graph.output_schema
output_schema["title"] = "ExpectedOutputSchema"
assert output_schema == ExpectedOutputSchema.jsonschema()