cognee/examples/low_level/pipeline.py
Boris 46c4463cb2
feat: s3 storage (#988)
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## Description
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## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.

---------

Co-authored-by: vasilije <vas.markovic@gmail.com>
Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
2025-07-14 21:47:08 +02:00

90 lines
2.5 KiB
Python

import os
import json
import asyncio
from cognee import prune
from cognee import visualize_graph
from cognee.low_level import setup, DataPoint
from cognee.pipelines import run_tasks, Task
from cognee.tasks.storage import add_data_points
class Person(DataPoint):
name: str
class Department(DataPoint):
name: str
employees: list[Person]
class CompanyType(DataPoint):
name: str = "Company"
class Company(DataPoint):
name: str
departments: list[Department]
is_type: CompanyType
def ingest_files():
companies_file_path = os.path.join(os.path.dirname(__file__), "companies.json")
companies = json.loads(open(companies_file_path, "r").read())
people_file_path = os.path.join(os.path.dirname(__file__), "people.json")
people = json.loads(open(people_file_path, "r").read())
people_data_points = {}
departments_data_points = {}
for person in people:
new_person = Person(name=person["name"])
people_data_points[person["name"]] = new_person
if person["department"] not in departments_data_points:
departments_data_points[person["department"]] = Department(
name=person["department"], employees=[new_person]
)
else:
departments_data_points[person["department"]].employees.append(new_person)
companies_data_points = {}
# Create a single CompanyType node, so we connect all companies to it.
companyType = CompanyType()
for company in companies:
new_company = Company(name=company["name"], departments=[], is_type=companyType)
companies_data_points[company["name"]] = new_company
for department_name in company["departments"]:
if department_name not in departments_data_points:
departments_data_points[department_name] = Department(
name=department_name, employees=[]
)
new_company.departments.append(departments_data_points[department_name])
return companies_data_points.values()
async def main():
await prune.prune_data()
await prune.prune_system(metadata=True)
await setup()
pipeline = run_tasks([Task(ingest_files), Task(add_data_points)])
async for status in pipeline:
print(status)
# Or use our simple graph preview
graph_file_path = str(
os.path.join(os.path.dirname(__file__), ".artifacts/graph_visualization.html")
)
await visualize_graph(graph_file_path)
if __name__ == "__main__":
asyncio.run(main())