mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
a0c2281540
```python
"""python scripts/update_mypy_ruff.py"""
import glob
import tomllib
from pathlib import Path
import toml
import subprocess
import re
ROOT_DIR = Path(__file__).parents[1]
def main():
for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True):
print(path)
with open(path, "rb") as f:
pyproject = tomllib.load(f)
try:
pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = (
"^1.10"
)
pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = (
"^0.5"
)
except KeyError:
continue
with open(path, "w") as f:
toml.dump(pyproject, f)
cwd = "/".join(path.split("/")[:-1])
completed = subprocess.run(
"poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color",
cwd=cwd,
shell=True,
capture_output=True,
text=True,
)
logs = completed.stdout.split("\n")
to_ignore = {}
for l in logs:
if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l):
path, line_no, error_type = re.match(
"^(.*)\:(\d+)\: error:.*\[(.*)\]", l
).groups()
if (path, line_no) in to_ignore:
to_ignore[(path, line_no)].append(error_type)
else:
to_ignore[(path, line_no)] = [error_type]
print(len(to_ignore))
for (error_path, line_no), error_types in to_ignore.items():
all_errors = ", ".join(error_types)
full_path = f"{cwd}/{error_path}"
try:
with open(full_path, "r") as f:
file_lines = f.readlines()
except FileNotFoundError:
continue
file_lines[int(line_no) - 1] = (
file_lines[int(line_no) - 1][:-1] + f" # type: ignore[{all_errors}]\n"
)
with open(full_path, "w") as f:
f.write("".join(file_lines))
subprocess.run(
"poetry run ruff format .; poetry run ruff --select I --fix .",
cwd=cwd,
shell=True,
capture_output=True,
text=True,
)
if __name__ == "__main__":
main()
```
107 lines
3.4 KiB
Python
107 lines
3.4 KiB
Python
import logging
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from typing import Any, Callable, Dict, List, Optional
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from langchain_core.callbacks import CallbackManagerForLLMRun
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from langchain_core.language_models.llms import LLM
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from langchain_core.pydantic_v1 import root_validator
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logger = logging.getLogger(__name__)
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def default_guardrail_violation_handler(violation: dict) -> str:
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"""Default guardrail violation handler.
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Args:
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violation (dict): The violation dictionary.
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Returns:
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str: The canned response.
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"""
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if violation.get("canned_response"):
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return violation["canned_response"]
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guardrail_name = (
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f"Guardrail {violation.get('offending_guardrail')}"
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if violation.get("offending_guardrail")
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else "A guardrail"
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)
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raise ValueError(
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f"{guardrail_name} was violated without a proper guardrail violation handler."
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)
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class LayerupSecurity(LLM):
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"""Layerup Security LLM service."""
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llm: LLM
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layerup_api_key: str
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layerup_api_base_url: str = "https://api.uselayerup.com/v1"
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prompt_guardrails: Optional[List[str]] = []
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response_guardrails: Optional[List[str]] = []
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mask: bool = False
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metadata: Optional[Dict[str, Any]] = {}
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handle_prompt_guardrail_violation: Callable[[dict], str] = (
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default_guardrail_violation_handler
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)
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handle_response_guardrail_violation: Callable[[dict], str] = (
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default_guardrail_violation_handler
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)
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client: Any #: :meta private:
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@root_validator(pre=True)
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def validate_layerup_sdk(cls, values: Dict[str, Any]) -> Dict[str, Any]:
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try:
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from layerup_security import LayerupSecurity as LayerupSecuritySDK
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values["client"] = LayerupSecuritySDK(
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api_key=values["layerup_api_key"],
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base_url=values["layerup_api_base_url"],
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)
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except ImportError:
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raise ImportError(
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"Could not import LayerupSecurity SDK. "
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"Please install it with `pip install LayerupSecurity`."
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)
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return values
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@property
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def _llm_type(self) -> str:
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return "layerup_security"
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def _call(
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self,
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prompt: str,
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stop: Optional[List[str]] = None,
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run_manager: Optional[CallbackManagerForLLMRun] = None,
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**kwargs: Any,
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) -> str:
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messages = [{"role": "user", "content": prompt}]
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unmask_response = None
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if self.mask:
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messages, unmask_response = self.client.mask_prompt(messages, self.metadata)
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if self.prompt_guardrails:
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security_response = self.client.execute_guardrails(
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self.prompt_guardrails, messages, prompt, self.metadata
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)
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if not security_response["all_safe"]:
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return self.handle_prompt_guardrail_violation(security_response)
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result = self.llm._call(
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messages[0]["content"], run_manager=run_manager, **kwargs
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)
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if self.mask and unmask_response:
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result = unmask_response(result)
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messages.append({"role": "assistant", "content": result})
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if self.response_guardrails:
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security_response = self.client.execute_guardrails(
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self.response_guardrails, messages, result, self.metadata
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)
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if not security_response["all_safe"]:
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return self.handle_response_guardrail_violation(security_response)
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return result
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