🔥 refactor(base.py): remove unused imports and code in base.py

🔥 refactor(base.py): remove unused variables and functions in base.py
This commit is contained in:
Gabriel Luiz Freitas Almeida 2023-08-22 16:46:57 -03:00
commit b1779e849d

View file

@ -1,222 +0,0 @@
import contextlib
import orjson
import os
from shutil import copy2
from typing import Optional, List
from pathlib import Path
import yaml
from pydantic import BaseSettings, root_validator, validator
from langflow.utils.logger import logger
# BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components")
BASE_COMPONENTS_PATH = str(Path(__file__).parent.parent.parent / "components")
class Settings(BaseSettings):
CHAINS: dict = {}
AGENTS: dict = {}
PROMPTS: dict = {}
LLMS: dict = {}
TOOLS: dict = {}
MEMORIES: dict = {}
EMBEDDINGS: dict = {}
VECTORSTORES: dict = {}
DOCUMENTLOADERS: dict = {}
WRAPPERS: dict = {}
RETRIEVERS: dict = {}
TOOLKITS: dict = {}
TEXTSPLITTERS: dict = {}
UTILITIES: dict = {}
OUTPUT_PARSERS: dict = {}
CUSTOM_COMPONENTS: dict = {}
# Define the default LANGFLOW_DIR
CONFIG_DIR: Optional[str] = None
DEV: bool = False
DATABASE_URL: Optional[str] = None
CACHE: str = "InMemoryCache"
REMOVE_API_KEYS: bool = False
COMPONENTS_PATH: List[str] = []
@validator("CONFIG_DIR", pre=True, allow_reuse=True)
def set_langflow_dir(cls, value):
if not value:
import appdirs
# Define the app name and author
app_name = "langflow"
app_author = "logspace"
# Get the cache directory for the application
cache_dir = appdirs.user_cache_dir(app_name, app_author)
# Create a .langflow directory inside the cache directory
value = Path(cache_dir)
value.mkdir(parents=True, exist_ok=True)
if isinstance(value, str):
value = Path(value)
if not value.exists():
value.mkdir(parents=True, exist_ok=True)
return str(value)
@validator("DATABASE_URL", pre=True)
def set_database_url(cls, value, values):
if not value:
logger.debug(
"No database_url provided, trying LANGFLOW_DATABASE_URL env variable"
)
if langflow_database_url := os.getenv("LANGFLOW_DATABASE_URL"):
value = langflow_database_url
logger.debug("Using LANGFLOW_DATABASE_URL env variable.")
else:
logger.debug("No DATABASE_URL env variable, using sqlite database")
# Originally, we used sqlite:///./langflow.db
# so we need to migrate to the new format
# if there is a database in that location
if not values["CONFIG_DIR"]:
raise ValueError(
"CONFIG_DIR not set, please set it or provide a DATABASE_URL"
)
new_path = f"{values['CONFIG_DIR']}/langflow.db"
if Path("./langflow.db").exists():
if Path(new_path).exists():
logger.debug(f"Database already exists at {new_path}, using it")
else:
try:
logger.debug("Copying existing database to new location")
copy2("./langflow.db", new_path)
logger.debug(f"Copied existing database to {new_path}")
except Exception:
logger.error("Failed to copy database, using default path")
new_path = "./langflow.db"
value = f"sqlite:///{new_path}"
return value
@validator("COMPONENTS_PATH", pre=True)
def set_components_path(cls, value):
if os.getenv("LANGFLOW_COMPONENTS_PATH"):
logger.debug("Adding LANGFLOW_COMPONENTS_PATH to components_path")
langflow_component_path = os.getenv("LANGFLOW_COMPONENTS_PATH")
if (
Path(langflow_component_path).exists()
and langflow_component_path not in value
):
if isinstance(langflow_component_path, list):
for path in langflow_component_path:
if path not in value:
value.append(path)
logger.debug(
f"Extending {langflow_component_path} to components_path"
)
elif langflow_component_path not in value:
value.append(langflow_component_path)
logger.debug(
f"Appending {langflow_component_path} to components_path"
)
if not value:
value = [BASE_COMPONENTS_PATH]
logger.debug("Setting default components path to components_path")
elif BASE_COMPONENTS_PATH not in value:
value.append(BASE_COMPONENTS_PATH)
logger.debug("Adding default components path to components_path")
logger.debug(f"Components path: {value}")
return value
class Config:
validate_assignment = True
extra = "ignore"
env_prefix = "LANGFLOW_"
@root_validator(allow_reuse=True)
def validate_lists(cls, values):
for key, value in values.items():
if key != "dev" and not value:
values[key] = []
return values
def update_from_yaml(self, file_path: str, dev: bool = False):
new_settings = load_settings_from_yaml(file_path)
self.CHAINS = new_settings.CHAINS or {}
self.AGENTS = new_settings.AGENTS or {}
self.PROMPTS = new_settings.PROMPTS or {}
self.LLMS = new_settings.LLMS or {}
self.TOOLS = new_settings.TOOLS or {}
self.MEMORIES = new_settings.MEMORIES or {}
self.WRAPPERS = new_settings.WRAPPERS or {}
self.TOOLKITS = new_settings.TOOLKITS or {}
self.TEXTSPLITTERS = new_settings.TEXTSPLITTERS or {}
self.UTILITIES = new_settings.UTILITIES or {}
self.EMBEDDINGS = new_settings.EMBEDDINGS or {}
self.VECTORSTORES = new_settings.VECTORSTORES or {}
self.DOCUMENTLOADERS = new_settings.DOCUMENTLOADERS or {}
self.RETRIEVERS = new_settings.RETRIEVERS or {}
self.OUTPUT_PARSERS = new_settings.OUTPUT_PARSERS or {}
self.CUSTOM_COMPONENTS = new_settings.CUSTOM_COMPONENTS or {}
self.COMPONENTS_PATH = new_settings.COMPONENTS_PATH or []
self.DEV = dev
def update_settings(self, **kwargs):
logger.debug("Updating settings")
for key, value in kwargs.items():
# value may contain sensitive information, so we don't want to log it
if not hasattr(self, key):
logger.debug(f"Key {key} not found in settings")
continue
logger.debug(f"Updating {key}")
if isinstance(getattr(self, key), list):
# value might be a '[something]' string
with contextlib.suppress(json.decoder.JSONDecodeError):
value = orjson.loads(str(value))
if isinstance(value, list):
for item in value:
if isinstance(item, Path):
item = str(item)
if item not in getattr(self, key):
getattr(self, key).append(item)
logger.debug(f"Extended {key}")
else:
if isinstance(value, Path):
value = str(value)
if value not in getattr(self, key):
getattr(self, key).append(value)
logger.debug(f"Appended {key}")
else:
setattr(self, key, value)
logger.debug(f"Updated {key}")
logger.debug(f"{key}: {getattr(self, key)}")
def save_settings_to_yaml(settings: Settings, file_path: str):
with open(file_path, "w") as f:
settings_dict = settings.dict()
yaml.dump(settings_dict, f)
def load_settings_from_yaml(file_path: str) -> Settings:
# Check if a string is a valid path or a file name
if "/" not in file_path:
# Get current path
current_path = os.path.dirname(os.path.abspath(__file__))
file_path = os.path.join(current_path, file_path)
with open(file_path, "r") as f:
settings_dict = yaml.safe_load(f)
settings_dict = {k.upper(): v for k, v in settings_dict.items()}
for key in settings_dict:
if key not in Settings.__fields__.keys():
raise KeyError(f"Key {key} not found in settings")
logger.debug(f"Loading {len(settings_dict[key])} {key} from {file_path}")
return Settings(**settings_dict)