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# Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
import asyncio
import os
from graphrag.index import run_pipeline, run_pipeline_with_config
from graphrag.index.config import PipelineCSVInputConfig, PipelineWorkflowReference
from graphrag.index.input import load_input
sample_data_dir = os.path.join(
os.path.dirname(os.path.abspath(__file__)), "../../_sample_data/"
)
shared_dataset = asyncio.run(
load_input(
PipelineCSVInputConfig(
file_pattern=".*\\.csv$",
base_dir=sample_data_dir,
source_column="author",
text_column="message",
timestamp_column="date(yyyyMMddHHmmss)",
timestamp_format="%Y%m%d%H%M%S",
title_column="message",
),
)
)
async def run_with_config():
"""Run a pipeline with a config file"""
# We're cheap, and this is an example, lets just do 10
dataset = shared_dataset.head(10)
# load pipeline.yml in this directory
config_path = os.path.join(
os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml"
)
# Grab the last result from the pipeline, should be our entity extraction
tables = []
async for table in run_pipeline_with_config(
config_or_path=config_path, dataset=dataset
):
tables.append(table)
pipeline_result = tables[-1]
# Print the entities. This will be a row for each text unit, each with a list of entities
if pipeline_result.result is not None:
print(pipeline_result.result["entities"].to_list())
else:
print("No results!")
async def run_python():
dataset = shared_dataset.head(10)
workflows: list[PipelineWorkflowReference] = [
PipelineWorkflowReference(
name="entity_extraction",
config={"entity_extract": {"strategy": {"type": "nltk"}}},
)
]
# Grab the last result from the pipeline, should be our entity extraction
tables = []
async for table in run_pipeline(dataset=dataset, workflows=workflows):
tables.append(table)
pipeline_result = tables[-1]
# Print the entities. This will be a row for each text unit, each with a list of entities
if pipeline_result.result is not None:
print(pipeline_result.result["entities"].to_list())
else:
print("No results!")
if __name__ == "__main__":
asyncio.run(run_python())
asyncio.run(run_with_config())
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