- [ x] bug report -> please search issues before submitting
- [ ] feature request
- [ ] documentation issue or request
- [ ] regression (a behavior that used to work and stopped in a new release)
Minimal steps to reproduce
open dev container
update .env with values
update example_config with values
run python3 -m scripts generate --output=example_input/qa.jsonl --numquestions=14 --persource=2
vscode ➜ /workspaces/ai-rag-chat-evaluator $ python3 -m scripts generate --output=example_input/qa.jsonl --numquestions=14 --
persource=2
Traceback (most recent call last):
File "<frozen runpy>", line 198, in _run_module_as_main
File "<frozen runpy>", line 88, in _run_code
File "/workspaces/ai-rag-chat-evaluator/scripts/__main__.py", line 3, in <module>
from .cli import app
File "/workspaces/ai-rag-chat-evaluator/scripts/cli.py", line 8, in <module>
from .evaluate import run_evaluate_from_config
File "/workspaces/ai-rag-chat-evaluator/scripts/evaluate.py", line 8, in <module>
from azure.ai.generative.evaluate import evaluate
File "/home/vscode/.local/lib/python3.11/site-packages/azure/ai/generative/evaluate/__init__.py", line 8, in <module>
from ._evaluate import evaluate
File "/home/vscode/.local/lib/python3.11/site-packages/azure/ai/generative/evaluate/_evaluate.py", line 22, in <module>
from azure.ai.generative.evaluate._metric_handler import MetricHandler
File "/home/vscode/.local/lib/python3.11/site-packages/azure/ai/generative/evaluate/_metric_handler.py", line 6, in <module>
from azure.ai.generative.evaluate._constants import TYPE_TO_KWARGS_MAPPING
File "/home/vscode/.local/lib/python3.11/site-packages/azure/ai/generative/evaluate/_constants.py", line 13, in <module>
QA: constants.QUESTION_ANSWERING,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: module 'azureml.metrics.constants' has no attribute 'QUESTION_ANSWERING'
Any log messages given by the failure
Expected/desired behavior
no errors
OS and Version?
Windows 7, 8 or 10. Linux (which distribution). macOS (Yosemite? El Capitan? Sierra?)
This issue is for a: (mark with an
x
)Minimal steps to reproduce
python3 -m scripts generate --output=example_input/qa.jsonl --numquestions=14 --persource=2
Any log messages given by the failure
Expected/desired behavior
OS and Version?
tried both win an mac running container
Versions
Mention any other details that might be useful