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# Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
import asyncio
import os
from graphrag.index import run_pipeline_with_config
from graphrag.index.config import PipelineCSVInputConfig
from graphrag.index.input import load_input
sample_data_dir = os.path.join(
os.path.dirname(os.path.abspath(__file__)), "../_sample_data/"
)
async def main():
if (
"EXAMPLE_OPENAI_API_KEY" not in os.environ
and "OPENAI_API_KEY" not in os.environ
):
msg = "Please set EXAMPLE_OPENAI_API_KEY or OPENAI_API_KEY environment variable to run this example"
raise Exception(msg)
dataset = await 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",
),
)
# We're cheap, and this is an example, lets just do 10
dataset = dataset.head(10)
# run the pipeline with the config, and override the dataset with the one we just created
# and grab the last result from the pipeline, should be the last workflow that was run (our nodes)
pipeline_path = os.path.join(
os.path.dirname(os.path.abspath(__file__)), "./pipelines/workflows_only.yml"
)
tables = []
async for table in run_pipeline_with_config(pipeline_path, dataset=dataset):
tables.append(table)
pipeline_result = tables[-1]
# The output will contain a list of positioned nodes
if pipeline_result.result is not None:
top_nodes = pipeline_result.result.head(10)
print(
"pipeline result\ncols: ", pipeline_result.result.columns, "\n", top_nodes
)
else:
print("No results!")
if __name__ == "__main__":
asyncio.run(main())
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