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()
```
53 lines
2.1 KiB
Python
53 lines
2.1 KiB
Python
"""
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**Comprehend Moderation** is used to detect and handle `Personally Identifiable Information (PII)`,
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`toxicity`, and `prompt safety` in text.
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The Langchain experimental package includes the **AmazonComprehendModerationChain** class
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for the comprehend moderation tasks. It is based on `Amazon Comprehend` service.
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This class can be configured with specific moderation settings like PII labels, redaction,
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toxicity thresholds, and prompt safety thresholds.
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See more at https://aws.amazon.com/comprehend/
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`Amazon Comprehend` service is used by several other classes:
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- **ComprehendToxicity** class is used to check the toxicity of text prompts using
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`AWS Comprehend service` and take actions based on the configuration
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- **ComprehendPromptSafety** class is used to validate the safety of given prompt
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text, raising an error if unsafe content is detected based on the specified threshold
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- **ComprehendPII** class is designed to handle
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`Personally Identifiable Information (PII)` moderation tasks,
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detecting and managing PII entities in text inputs
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""" # noqa: E501
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from langchain_experimental.comprehend_moderation.amazon_comprehend_moderation import (
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AmazonComprehendModerationChain,
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)
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from langchain_experimental.comprehend_moderation.base_moderation import BaseModeration
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from langchain_experimental.comprehend_moderation.base_moderation_callbacks import (
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BaseModerationCallbackHandler,
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)
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from langchain_experimental.comprehend_moderation.base_moderation_config import (
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BaseModerationConfig,
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ModerationPiiConfig,
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ModerationPromptSafetyConfig,
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ModerationToxicityConfig,
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)
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from langchain_experimental.comprehend_moderation.pii import ComprehendPII
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from langchain_experimental.comprehend_moderation.prompt_safety import (
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ComprehendPromptSafety,
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)
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from langchain_experimental.comprehend_moderation.toxicity import ComprehendToxicity
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__all__ = [
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"BaseModeration",
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"ComprehendPII",
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"ComprehendPromptSafety",
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"ComprehendToxicity",
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"BaseModerationConfig",
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"ModerationPiiConfig",
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"ModerationToxicityConfig",
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"ModerationPromptSafetyConfig",
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"BaseModerationCallbackHandler",
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"AmazonComprehendModerationChain",
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]
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