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# Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
import asyncio
import os
import pandas as pd
from examples.custom_set_of_available_verbs.custom_verb_definitions import custom_verbs
from graphrag.index import run_pipeline, run_pipeline_with_config
from graphrag.index.config import PipelineWorkflowReference
# Our fake dataset
dataset = pd.DataFrame([{"col1": 2, "col2": 4}, {"col1": 5, "col2": 10}])
async def run_with_config():
"""Run a pipeline with a config file"""
# load pipeline.yml in this directory
config_path = os.path.join(
os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml"
)
outputs = []
async for output in run_pipeline_with_config(
config_or_path=config_path, dataset=dataset
):
outputs.append(output)
pipeline_result = outputs[-1]
if pipeline_result.result is not None:
# Should look something like this, which should be identical to the python example:
# col1 col2 col_1_custom
# 0 2 4 2 - custom verb
# 1 5 10 5 - custom verb
print(pipeline_result.result)
else:
print("No results!")
async def run_python():
workflows: list[PipelineWorkflowReference] = [
PipelineWorkflowReference(
name="my_workflow",
steps=[
{
"verb": "str_append", # should be the key that you pass to the custom_verbs dict below
"args": {
"source_column": "col1", # from above
"target_column": "col_1_custom", # new column name,
"string_to_append": " - custom verb", # The string to append to the column
},
# Since we're trying to act on the default input, we don't need explicitly to specify an input
}
],
),
]
# Run the pipeline
outputs = []
async for output in run_pipeline(
dataset=dataset,
workflows=workflows,
additional_verbs=custom_verbs,
):
outputs.append(output)
# Find the result from the workflow we care about
pipeline_result = next(
(output for output in outputs if output.workflow == "my_workflow"), None
)
if pipeline_result is not None and pipeline_result.result is not None:
# Should look something like this:
# col1 col2 col_1_custom
# 0 2 4 2 - custom verb
# 1 5 10 5 - custom verb
print(pipeline_result.result)
else:
print("No results!")
if __name__ == "__main__":
asyncio.run(run_python())
asyncio.run(run_with_config())
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