langsmith-csv-migration-tool/run_dataset_tests.py

#!/usr/bin/env python3
"""Run tests on migrated datasets with their configured evaluators"""

import json
from langsmith import Client
from langsmith.evaluation import run_on_dataset

# Load test configurations
with open("dataset_test_configs.json", "r") as f:
    test_configs = json.load(f)

client = Client()

def dummy_model(inputs):
    """Replace with your actual model/chain"""
    return {"output": "This is a placeholder response"}

for config in test_configs:
    dataset_id = config["dataset_id"]
    dataset_name = config["dataset_name"]
    
    print(f"Running test on dataset: {dataset_name}")
    
    # Create evaluators from config
    evaluators = []
    for eval_config in config["evaluators"]:
        # Create evaluator based on type
        # This is where you would implement actual evaluator creation
        pass
    
    # Run evaluation
    # results = run_on_dataset(
    #     client=client,
    #     dataset_name=dataset_name,
    #     llm_or_chain_factory=dummy_model,
    #     evaluation=evaluators,
    #     project_name=config["test_name"]
    # )
    
    print(f"Test configuration ready for dataset: {dataset_name}")
    print(f"  - Dataset ID: {dataset_id}")
    print(f"  - Evaluators: {len(config['evaluators'])}")