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test_notebook.py
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test_notebook.py
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import sys
import os
import pytest
from conftest import skip_openai
try:
import openai
except ImportError:
skip = True
else:
skip = False or skip_openai
here = os.path.abspath(os.path.dirname(__file__))
def run_notebook(input_nb, output_nb="executed_openai_notebook.ipynb", save=False):
import nbformat
from nbconvert.preprocessors import ExecutePreprocessor
from nbconvert.preprocessors import CellExecutionError
try:
nb_loc = os.path.join(here, os.pardir, "notebook")
file_path = os.path.join(nb_loc, input_nb)
with open(file_path) as nb_file:
nb = nbformat.read(nb_file, as_version=4)
preprocessor = ExecutePreprocessor(timeout=4800, kernel_name="python3")
preprocessor.preprocess(nb, {"metadata": {"path": nb_loc}})
output_file_name = "executed_openai_notebook_output.txt"
output_file = os.path.join(here, output_file_name)
with open(output_file, "a") as nb_output_file:
for cell in nb.cells:
if cell.cell_type == "code" and "outputs" in cell:
for output in cell.outputs:
if "text" in output:
nb_output_file.write(output["text"].strip() + "\n")
elif "data" in output and "text/plain" in output["data"]:
nb_output_file.write(output["data"]["text/plain"].strip() + "\n")
except CellExecutionError:
raise
finally:
if save:
with open(os.path.join(here, output_nb), "w", encoding="utf-8") as nb_executed_file:
nbformat.write(nb, nb_executed_file)
@pytest.mark.skipif(
skip or not sys.version.startswith("3.10"),
reason="do not run if openai is not installed or py!=3.10",
)
def test_agentchat_auto_feedback_from_code(save=False):
run_notebook("agentchat_auto_feedback_from_code_execution.ipynb", save=save)
@pytest.mark.skipif(
skip or not sys.version.startswith("3.11"),
reason="do not run if openai is not installed or py!=3.11",
)
def _test_oai_completion(save=False):
run_notebook("oai_completion.ipynb", save=save)
@pytest.mark.skipif(
skip or not sys.version.startswith("3.12"),
reason="do not run if openai is not installed or py!=3.12",
)
def test_agentchat_function_call(save=False):
run_notebook("agentchat_function_call.ipynb", save=save)
@pytest.mark.skipif(
skip or not sys.version.startswith("3.10"),
reason="do not run if openai is not installed or py!=3.10",
)
def test_agentchat_function_call_currency_calculator(save=False):
run_notebook("agentchat_function_call_currency_calculator.ipynb", save=save)
@pytest.mark.skipif(
skip or not sys.version.startswith("3.11"),
reason="do not run if openai is not installed or py!=3.11",
)
def test_agentchat_function_call_async(save=False):
run_notebook("agentchat_function_call_async.ipynb", save=save)
@pytest.mark.skipif(
skip or not sys.version.startswith("3.12"),
reason="do not run if openai is not installed or py!=3.12",
)
def _test_agentchat_MathChat(save=False):
run_notebook("agentchat_MathChat.ipynb", save=save)
@pytest.mark.skipif(
skip or not sys.version.startswith("3.10"),
reason="do not run if openai is not installed or py!=3.10",
)
def _test_oai_chatgpt_gpt4(save=False):
run_notebook("oai_chatgpt_gpt4.ipynb", save=save)
@pytest.mark.skipif(
skip or not sys.version.startswith("3.11"),
reason="do not run if openai is not installed or py!=3.11",
)
def _test_hierarchy_flow_using_select_speaker(save=False):
# TODO: recover this test after rewriting after the new group chat api
run_notebook("agentchat_hierarchy_flow_using_select_speaker.ipynb", save=save)
@pytest.mark.skipif(
skip or not sys.version.startswith("3.12"),
reason="do not run if openai is not installed or py!=3.12",
)
def test_graph_modelling_language_using_select_speaker(save=False):
run_notebook("agentchat_graph_modelling_language_using_select_speaker.ipynb", save=save)
@pytest.mark.skipif(
skip or not sys.version.startswith("3.10"),
reason="do not run if openai is not installed or py!=3.10",
)
def test_agentchat_cost_token_tracking(save=False):
run_notebook("agentchat_cost_token_tracking.ipynb", save=save)
if __name__ == "__main__":
# test_agentchat_auto_feedback_from_code(save=True)
# test_oai_chatgpt_gpt4(save=True)
# test_oai_completion(save=True)
# test_agentchat_MathChat(save=True)
# test_agentchat_function_call(save=True)
# test_graph_modelling_language_using_select_speaker(save=True)
test_agentchat_function_call_async(save=True)