Build latest book artifacts / build (push) Canceled after 0s
dependency resolution / resolve (3.11) (push) Canceled after 0s
dependency resolution / resolve (3.13) (push) Canceled after 0s
deploy-pages / build (push) Canceled after 0s
deploy-pages / deploy (push) Canceled after 0s
i18n consistency check / check (push) Canceled after 0s
provider adoption tests / test (chapter2/context-compression) (push) Canceled after 0s
provider adoption tests / test (chapter2/prompt-injection) (push) Canceled after 0s
provider adoption tests / test (chapter2/system-hint) (push) Canceled after 0s
provider adoption tests / test (chapter3/log-sanitization) (push) Canceled after 0s
web-search-agent tests / test (push) Canceled after 0s
web-search-agent tests / agentbook (push) Canceled after 0s
70 lines
2.0 KiB
Python
70 lines
2.0 KiB
Python
import json
|
|
import os
|
|
import time
|
|
from concurrent.futures import ThreadPoolExecutor
|
|
from typing import Any, Callable, TypeVar
|
|
|
|
from tau_bench.model_utils.model.exception import ModelError, Result
|
|
|
|
T = TypeVar("T")
|
|
|
|
_REPORT_DIR = os.path.expanduser("~/.llm-primitives/log")
|
|
|
|
|
|
def set_report_dir(path: str) -> None:
|
|
global _REPORT_DIR
|
|
_REPORT_DIR = path
|
|
|
|
|
|
def get_report_dir() -> str:
|
|
return _REPORT_DIR
|
|
|
|
|
|
def log_report_to_disk(report: dict[str, Any], path: str) -> None:
|
|
with open(path, "w") as f:
|
|
json.dump(report, f, indent=4)
|
|
|
|
|
|
def generate_report_location() -> str:
|
|
if not os.path.exists(_REPORT_DIR):
|
|
os.makedirs(_REPORT_DIR)
|
|
return os.path.join(_REPORT_DIR, f"report-{time.time_ns()}.json")
|
|
|
|
|
|
class APIError(Exception):
|
|
def __init__(self, short_message: str, report: dict[str, Any] | None = None) -> None:
|
|
self.report_path = generate_report_location()
|
|
self.short_message = short_message
|
|
self.report = report
|
|
if self.report is not None:
|
|
log_report_to_disk(
|
|
report={"error_type": "APIError", "report": report}, path=self.report_path
|
|
)
|
|
super().__init__(f"{short_message}\n\nSee the full report at {self.report_path}")
|
|
|
|
|
|
def execute_and_filter_model_errors(
|
|
funcs: list[Callable[[], T]],
|
|
max_concurrency: int | None = None,
|
|
) -> list[T] | list[ModelError]:
|
|
def _invoke_w_o_llm_error(invocable: Callable[[], T]) -> Result:
|
|
try:
|
|
return Result(value=invocable(), error=None)
|
|
except ModelError as e:
|
|
return Result(value=None, error=e)
|
|
|
|
with ThreadPoolExecutor(max_workers=max_concurrency) as executor:
|
|
results = list(executor.map(_invoke_w_o_llm_error, funcs))
|
|
|
|
errors: list[ModelError] = []
|
|
values = []
|
|
for res in results:
|
|
if res.error is not None:
|
|
errors.append(res.error)
|
|
else:
|
|
values.append(res.value)
|
|
if len(values) == 0:
|
|
assert len(errors) > 0
|
|
raise errors[0]
|
|
return values
|