Remove tests/unit/integration folder
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from datetime import datetime, timezone
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from enum import Enum
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from typing import Optional
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import pytest
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from cognee.infrastructure.engine import DataPoint
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from cognee.modules.graph.utils import (
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get_graph_from_model,
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get_model_instance_from_graph,
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)
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EDGE_GROUND_TRUTH = (
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"boris",
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"car1",
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"owns_car",
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{
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"source_node_id": "boris",
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"target_node_id": "car1",
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"relationship_name": "owns_car",
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"metadata": {"type": "list"},
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},
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)
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CAR_GROUND_TRUTH = {
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"id": "car1",
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"brand": "Toyota",
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"model": "Camry",
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"year": 2020,
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"color": "Blue",
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}
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PERSON_GROUND_TRUTH = {
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"id": "boris",
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"name": "Boris",
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"age": 30,
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"driving_license": {
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"issued_by": "PU Vrsac",
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"issued_on": "2025-11-06",
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"number": "1234567890",
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"expires_on": "2025-11-06",
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},
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}
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PARSED_PERSON_GROUND_TRUTH = {
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"id": "boris",
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"name": "Boris",
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"age": 30,
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"driving_license": {
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"issued_by": "PU Vrsac",
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"issued_on": "2025-11-06",
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"number": "1234567890",
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"expires_on": "2025-11-06",
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},
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}
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class CarTypeName(Enum):
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Pickup = "Pickup"
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Sedan = "Sedan"
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SUV = "SUV"
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Coupe = "Coupe"
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Convertible = "Convertible"
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Hatchback = "Hatchback"
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Wagon = "Wagon"
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Minivan = "Minivan"
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Van = "Van"
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class CarType(DataPoint):
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id: str
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name: CarTypeName
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_metadata: dict = dict(index_fields=["name"])
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class Car(DataPoint):
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id: str
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brand: str
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model: str
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year: int
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color: str
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is_type: CarType
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class Person(DataPoint):
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id: str
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name: str
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age: int
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owns_car: list[Car]
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driving_license: Optional[dict]
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_metadata: dict = dict(index_fields=["name"])
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def run_test_against_ground_truth(
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test_target_item_name, test_target_item, ground_truth_dict
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):
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for key, ground_truth in ground_truth_dict.items():
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if isinstance(ground_truth, dict):
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for key2, ground_truth2 in ground_truth.items():
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assert (
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ground_truth2 == getattr(test_target_item, key)[key2]
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), f"{test_target_item_name}/{key = }/{key2 = }: {ground_truth2 = } != {getattr(test_target_item, key)[key2] = }"
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else:
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assert ground_truth == getattr(
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test_target_item, key
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), f"{test_target_item_name}/{key = }: {ground_truth = } != {getattr(test_target_item, key) = }"
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time_delta = datetime.now(timezone.utc) - getattr(test_target_item, "updated_at")
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assert time_delta.total_seconds() < 20, f"{ time_delta.total_seconds() = }"
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@pytest.fixture(scope="session")
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def graph_outputs():
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boris = Person(
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id="boris",
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name="Boris",
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age=30,
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owns_car=[
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Car(
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id="car1",
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brand="Toyota",
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model="Camry",
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year=2020,
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color="Blue",
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is_type=CarType(id="sedan", name=CarTypeName.Sedan),
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)
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],
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driving_license={
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"issued_by": "PU Vrsac",
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"issued_on": "2025-11-06",
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"number": "1234567890",
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"expires_on": "2025-11-06",
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},
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)
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nodes, edges = get_graph_from_model(boris)
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car, person = nodes[0], nodes[1]
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edge = edges[0]
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parsed_person = get_model_instance_from_graph(nodes, edges, "boris")
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return (car, person, edge, parsed_person)
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def test_extracted_person(graph_outputs):
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(_, person, _, _) = graph_outputs
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run_test_against_ground_truth("person", person, PERSON_GROUND_TRUTH)
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def test_extracted_car(graph_outputs):
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(car, _, _, _) = graph_outputs
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run_test_against_ground_truth("car", car, CAR_GROUND_TRUTH)
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def test_extracted_edge(graph_outputs):
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(_, _, edge, _) = graph_outputs
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assert (
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EDGE_GROUND_TRUTH[:3] == edge[:3]
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), f"{EDGE_GROUND_TRUTH[:3] = } != {edge[:3] = }"
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for key, ground_truth in EDGE_GROUND_TRUTH[3].items():
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assert ground_truth == edge[3][key], f"{ground_truth = } != {edge[3][key] = }"
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def test_parsed_person(graph_outputs):
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(_, _, _, parsed_person) = graph_outputs
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run_test_against_ground_truth(
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"parsed_person", parsed_person, PARSED_PERSON_GROUND_TRUTH
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)
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run_test_against_ground_truth("car", parsed_person.owns_car[0], CAR_GROUND_TRUTH)
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