mirror of
https://github.com/hwchase17/langchain.git
synced 2025-11-24 01:22:13 +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()
```
114 lines
3.3 KiB
Python
114 lines
3.3 KiB
Python
"""This tool allows agents to generate images using Steamship.
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Steamship offers access to different third party image generation APIs
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using a single API key.
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Today the following models are supported:
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- Dall-E
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- Stable Diffusion
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To use this tool, you must first set as environment variables:
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STEAMSHIP_API_KEY
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```
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"""
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from __future__ import annotations
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from enum import Enum
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from typing import TYPE_CHECKING, Dict, Optional
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from langchain_core.callbacks import CallbackManagerForToolRun
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from langchain_core.pydantic_v1 import root_validator
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from langchain_core.utils import get_from_dict_or_env
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from langchain_community.tools import BaseTool
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from langchain_community.tools.steamship_image_generation.utils import make_image_public
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if TYPE_CHECKING:
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from steamship import Steamship
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class ModelName(str, Enum):
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"""Supported Image Models for generation."""
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DALL_E = "dall-e"
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STABLE_DIFFUSION = "stable-diffusion"
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SUPPORTED_IMAGE_SIZES = {
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ModelName.DALL_E: ("256x256", "512x512", "1024x1024"),
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ModelName.STABLE_DIFFUSION: ("512x512", "768x768"),
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}
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class SteamshipImageGenerationTool(BaseTool):
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"""Tool used to generate images from a text-prompt."""
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model_name: ModelName
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size: Optional[str] = "512x512"
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steamship: Steamship
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return_urls: Optional[bool] = False
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name: str = "generate_image"
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description: str = (
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"Useful for when you need to generate an image."
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"Input: A detailed text-2-image prompt describing an image"
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"Output: the UUID of a generated image"
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)
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@root_validator(pre=True)
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def validate_size(cls, values: Dict) -> Dict:
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if "size" in values:
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size = values["size"]
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model_name = values["model_name"]
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if size not in SUPPORTED_IMAGE_SIZES[model_name]:
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raise RuntimeError(f"size {size} is not supported by {model_name}")
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return values
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@root_validator(pre=True)
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that api key and python package exists in environment."""
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steamship_api_key = get_from_dict_or_env(
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values, "steamship_api_key", "STEAMSHIP_API_KEY"
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)
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try:
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from steamship import Steamship
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except ImportError:
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raise ImportError(
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"steamship is not installed. "
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"Please install it with `pip install steamship`"
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)
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steamship = Steamship(
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api_key=steamship_api_key,
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)
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values["steamship"] = steamship
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if "steamship_api_key" in values:
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del values["steamship_api_key"]
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return values
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def _run(
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self,
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query: str,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> str:
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"""Use the tool."""
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image_generator = self.steamship.use_plugin(
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plugin_handle=self.model_name.value, config={"n": 1, "size": self.size}
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)
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task = image_generator.generate(text=query, append_output_to_file=True)
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task.wait()
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blocks = task.output.blocks
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if len(blocks) > 0:
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if self.return_urls:
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return make_image_public(self.steamship, blocks[0])
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else:
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return blocks[0].id
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raise RuntimeError(f"[{self.name}] Tool unable to generate image!")
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