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LLMs are probabilistic systems. Reproducibility of completions is not guaranteed. It only makes sense to account for this, by running challenges multiple times to obtain a success ratio rather than a boolean success/failure result. Changes: - Add `-N`, `--attempts` option to CLI and `attempts_per_challenge` parameter to `main.py:run_benchmark`. - Add dynamic `i_attempt` fixture through `pytest_generate_tests` hook in conftest.py to achieve multiple runs per challenge. - Modify `pytest_runtest_makereport` hook in conftest.py to handle multiple reporting calls per challenge. - Refactor report_types.py, reports.py, process_report.ty to allow multiple results per challenge. - Calculate `success_percentage` from results of the current run, rather than all known results ever. - Add docstrings to a number of models in report_types.py. - Allow `None` as a success value, e.g. for runs that did not render any results before being cut off. - Make SingletonReportManager thread-safe.
137 lines
4.3 KiB
Python
137 lines
4.3 KiB
Python
# radio charts, logs, helper functions for tests, anything else relevant.
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import json
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import logging
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import os
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import re
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from pathlib import Path
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from typing import Any, Optional
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from dotenv import load_dotenv
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from agbenchmark.reports.processing.report_types import Test
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from agbenchmark.utils.data_types import DIFFICULTY_MAP, DifficultyLevel
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load_dotenv()
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AGENT_NAME = os.getenv("AGENT_NAME")
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REPORT_LOCATION = os.getenv("REPORT_LOCATION", None)
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logger = logging.getLogger(__name__)
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def replace_backslash(value: Any) -> Any:
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if isinstance(value, str):
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return re.sub(
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r"\\+", "/", value
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) # replace one or more backslashes with a forward slash
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elif isinstance(value, list):
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return [replace_backslash(i) for i in value]
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elif isinstance(value, dict):
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return {k: replace_backslash(v) for k, v in value.items()}
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else:
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return value
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def get_test_path(json_file: str | Path) -> str:
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if isinstance(json_file, str):
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json_file = Path(json_file)
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# Find the index of "agbenchmark" in the path parts
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try:
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agbenchmark_index = json_file.parts.index("benchmark")
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except ValueError:
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raise ValueError("Invalid challenge location.")
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# Create the path from "agbenchmark" onwards
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challenge_location = Path(*json_file.parts[agbenchmark_index:])
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formatted_location = replace_backslash(str(challenge_location))
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if isinstance(formatted_location, str):
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return formatted_location
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else:
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return str(challenge_location)
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def get_highest_success_difficulty(
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data: dict[str, Test], just_string: Optional[bool] = None
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) -> str:
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highest_difficulty = None
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highest_difficulty_level = 0
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for test_name, test_data in data.items():
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try:
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if any(r.success for r in test_data.results):
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difficulty_str = test_data.difficulty
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if not difficulty_str:
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continue
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try:
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difficulty_enum = DifficultyLevel[difficulty_str.lower()]
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difficulty_level = DIFFICULTY_MAP[difficulty_enum]
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if difficulty_level > highest_difficulty_level:
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highest_difficulty = difficulty_enum
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highest_difficulty_level = difficulty_level
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except KeyError:
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logger.warning(
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f"Unexpected difficulty level '{difficulty_str}' "
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f"in test '{test_name}'"
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)
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continue
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except Exception as e:
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logger.warning(
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"An unexpected error [1] occurred while analyzing report [2]."
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"Please notify a maintainer.\n"
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f"Report data [1]: {data}\n"
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f"Error [2]: {e}"
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)
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logger.warning(
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"Make sure you selected the right test, no reports were generated."
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)
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break
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if highest_difficulty is not None:
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highest_difficulty_str = highest_difficulty.name # convert enum to string
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else:
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highest_difficulty_str = ""
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if highest_difficulty_level and not just_string:
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return f"{highest_difficulty_str}: {highest_difficulty_level}"
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elif highest_difficulty_str:
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return highest_difficulty_str
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return "No successful tests"
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# def get_git_commit_sha(directory: Path) -> Optional[str]:
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# try:
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# repo = git.Repo(directory)
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# remote_url = repo.remotes.origin.url
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# if remote_url.endswith(".git"):
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# remote_url = remote_url[:-4]
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# git_commit_sha = f"{remote_url}/tree/{repo.head.commit.hexsha}"
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# # logger.debug(f"GIT_COMMIT_SHA: {git_commit_sha}")
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# return git_commit_sha
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# except Exception:
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# # logger.error(f"{directory} is not a git repository!")
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# return None
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def write_pretty_json(data, json_file):
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sorted_data = deep_sort(data)
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json_graph = json.dumps(sorted_data, indent=4)
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with open(json_file, "w") as f:
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f.write(json_graph)
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f.write("\n")
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def deep_sort(obj):
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"""
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Recursively sort the keys in JSON object
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"""
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if isinstance(obj, dict):
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return {k: deep_sort(v) for k, v in sorted(obj.items())}
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if isinstance(obj, list):
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return [deep_sort(elem) for elem in obj]
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return obj
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