mirror of
https://github.com/open-webui/open-webui.git
synced 2026-11-07 08:17:07 +00:00
Any logged-in user can open the user-valve settings of a function an admin has turned off. Resolving that form's dynamic select options calls the admin-written option method server-side and hands it the requesting user, so code belonging to a disabled function runs on a normal user's request. Dynamic options are now only resolved while the function is active. Users can still open and save user valves of a disabled function, they just get the static schema, so seeding valves before switching a function on keeps working. The gate is is_active alone: user valves exist to be user-facing, and gating on global/role/access instead would break that. When options cannot be resolved at all (disabled function, missing method, method raises or returns a non-list) the select's input hint is now dropped rather than passed on unresolved. Previously the raw method name reached the browser as the option list, which crashed the valves form with "options.map is not a function" or rendered one dropdown entry per character of the method name.
488 lines
17 KiB
Python
488 lines
17 KiB
Python
from __future__ import annotations
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import asyncio
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import inspect
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import logging
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import os
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import re
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import subprocess
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import sys
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import tempfile
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import types
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from importlib import util
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from typing import Any
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from open_webui.env import (
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ENABLE_PIP_INSTALL_FRONTMATTER_REQUIREMENTS,
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ENABLE_PLUGINS,
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OFFLINE_MODE,
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PIP_OPTIONS,
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PIP_PACKAGE_INDEX_OPTIONS,
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)
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from open_webui.models.functions import FunctionModel, Functions
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from open_webui.models.tools import Tools
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log = logging.getLogger(__name__)
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def resolve_valves_schema_options(
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valves_class: type, schema: dict, user: Any = None, resolve_dynamic: bool = True
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) -> dict:
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"""
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Resolve dynamic options in a Valves schema.
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For properties with `input.options`, this function handles two cases:
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- List: Used directly as dropdown options
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- String: Treated as method name, called to get options dynamically
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Usage in Valves:
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class UserValves(BaseModel):
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# Static options
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priority: str = Field(
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default="medium",
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json_schema_extra={
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"input": {
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"type": "select",
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"options": ["low", "medium", "high"]
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}
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}
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)
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# Dynamic options (method name)
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model: str = Field(
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default="",
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json_schema_extra={
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"input": {
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"type": "select",
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"options": "get_model_options"
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}
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}
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)
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@classmethod
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def get_model_options(cls, __user__=None) -> list[dict]:
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return [{"value": "gpt-4", "label": "GPT-4"}]
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Args:
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valves_class: The Valves or UserValves Pydantic model class
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schema: The JSON schema dict from valves_class.schema()
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user: Optional user object passed to methods that accept __user__
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resolve_dynamic: When False, no option method is called
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Returns:
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Modified schema dict with resolved options; unresolvable select options lose their `input` hint
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"""
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if not schema or 'properties' not in schema:
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return schema
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# Make a copy to avoid mutating the original
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schema = dict(schema)
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schema['properties'] = dict(schema.get('properties', {}))
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for prop_name, prop_schema in list(schema['properties'].items()):
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# Get the original field info from the Pydantic model
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if not hasattr(valves_class, 'model_fields'):
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continue
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field_info = valves_class.model_fields.get(prop_name)
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if not field_info:
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continue
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# Check json_schema_extra for options
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json_schema_extra = field_info.json_schema_extra
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if not json_schema_extra or not isinstance(json_schema_extra, dict):
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continue
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input_config = json_schema_extra.get('input')
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if not input_config or not isinstance(input_config, dict):
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continue
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options = input_config.get('options')
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if options is None:
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continue
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resolved_options = None
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# Case 1: options is already a list - use directly
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if isinstance(options, list):
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resolved_options = options
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# Case 2: options is a string - treat as method name
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elif isinstance(options, str) and options and resolve_dynamic:
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method = getattr(valves_class, options, None)
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if method is None or not callable(method):
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log.warning(f"options '{options}' not found or not callable on {valves_class.__name__}")
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else:
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try:
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sig = inspect.signature(method)
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params = sig.parameters
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# Prepare kwargs based on what the method accepts
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kwargs = {}
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if '__user__' in params and user is not None:
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kwargs['__user__'] = user.model_dump() if hasattr(user, 'model_dump') else user
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if 'user' in params and user is not None:
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kwargs['user'] = user.model_dump() if hasattr(user, 'model_dump') else user
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resolved_options = method(**kwargs) if kwargs else method()
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# Validate return type
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if not isinstance(resolved_options, list):
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log.warning(f"Method '{options}' did not return a list for {prop_name}")
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resolved_options = None
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except Exception as e:
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log.warning(f'Failed to resolve options for {prop_name}: {e}')
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schema['properties'][prop_name] = dict(prop_schema)
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if resolved_options is None:
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if input_config.get('type') in ('select', 'multiselect'):
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# Without a usable option list the client renders the field broken or blank
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schema['properties'][prop_name].pop('input', None)
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continue
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# Update the schema with resolved options
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if 'input' not in schema['properties'][prop_name]:
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schema['properties'][prop_name]['input'] = {'type': 'select'}
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else:
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schema['properties'][prop_name]['input'] = dict(schema['properties'][prop_name].get('input', {}))
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schema['properties'][prop_name]['input']['options'] = resolved_options
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return schema
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def extract_frontmatter(content):
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"""
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Extract frontmatter as a dictionary from the provided content string.
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"""
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frontmatter = {}
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frontmatter_started = False
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frontmatter_ended = False
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frontmatter_pattern = re.compile(r'^\s*([a-z_]+):\s*(.*)\s*$', re.IGNORECASE)
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try:
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lines = content.splitlines()
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if len(lines) < 1 or lines[0].strip() != '"""':
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# The content doesn't start with triple quotes
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return {}
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frontmatter_started = True
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for line in lines[1:]:
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if '"""' in line:
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if frontmatter_started:
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frontmatter_ended = True
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break
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if frontmatter_started and not frontmatter_ended:
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match = frontmatter_pattern.match(line)
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if match:
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key, value = match.groups()
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frontmatter[key.strip()] = value.strip()
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except Exception as e:
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log.exception(f'Failed to extract frontmatter: {e}')
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return {}
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return frontmatter
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def replace_imports(content):
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"""
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Replace the import paths in the content.
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"""
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replacements = {
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'from utils': 'from open_webui.utils',
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'from apps': 'from open_webui.apps',
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'from main': 'from open_webui.main',
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'from config': 'from open_webui.config',
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}
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for old, new in replacements.items():
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content = content.replace(old, new)
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return content
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# May the intent of the one who wrote it survive every
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# import and transformation, as a deed survives the generations.
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async def load_tool_module_by_id(tool_id, content=None):
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if not ENABLE_PLUGINS:
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raise RuntimeError('Plugins are disabled by ENABLE_PLUGINS=false')
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frontmatter = None
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if content is None:
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tool = await Tools.get_tool_by_id(tool_id)
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if not tool:
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raise Exception(f'Toolkit not found: {tool_id}')
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content = tool.content
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content = replace_imports(content)
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await Tools.update_tool_by_id(tool_id, {'content': content})
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else:
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frontmatter = extract_frontmatter(content)
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# Install required packages found within the frontmatter.
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# Runs `pip install` via subprocess, which can take a long time;
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# offload to a thread so it doesn't block the event loop.
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await asyncio.to_thread(install_frontmatter_requirements, frontmatter.get('requirements', ''))
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module_name = f'tool_{tool_id}'
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module = types.ModuleType(module_name)
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sys.modules[module_name] = module
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# Create a temporary file and use it to define `__file__` so
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# that it works as expected from the module's perspective.
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temp_file = tempfile.NamedTemporaryFile(delete=False)
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temp_file.close()
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try:
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with open(temp_file.name, 'w', encoding='utf-8') as f:
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f.write(content)
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module.__dict__['__file__'] = temp_file.name
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# Executing the modified content in the created module's namespace
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exec(content, module.__dict__)
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if frontmatter is None:
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frontmatter = extract_frontmatter(content)
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log.info('Loaded module: %s', module.__name__)
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# Create and return the object if the class 'Tools' is found in the module
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if hasattr(module, 'Tools'):
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return module.Tools(), frontmatter
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else:
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raise Exception('No Tools class found in the module')
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except Exception as e:
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log.error(f'Error loading module: {tool_id}: {e}')
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del sys.modules[module_name] # Clean up
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raise e
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finally:
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os.unlink(temp_file.name)
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async def load_function_module_by_id(function_id: str, content: str | None = None):
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if not ENABLE_PLUGINS:
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raise RuntimeError('Plugins are disabled by ENABLE_PLUGINS=false')
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frontmatter = None
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if content is None:
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function = await Functions.get_function_by_id(function_id)
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if not function:
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raise Exception(f'Function not found: {function_id}')
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content = function.content
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content = replace_imports(content)
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await Functions.update_function_by_id(function_id, {'content': content})
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else:
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frontmatter = extract_frontmatter(content)
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# `pip install` via subprocess can block for a long time; offload it.
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await asyncio.to_thread(install_frontmatter_requirements, frontmatter.get('requirements', ''))
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module_name = f'function_{function_id}'
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module = types.ModuleType(module_name)
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sys.modules[module_name] = module
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# Create a temporary file and use it to define `__file__` so
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# that it works as expected from the module's perspective.
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temp_file = tempfile.NamedTemporaryFile(delete=False)
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temp_file.close()
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try:
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with open(temp_file.name, 'w', encoding='utf-8') as f:
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f.write(content)
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module.__dict__['__file__'] = temp_file.name
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# Execute the modified content in the created module's namespace
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exec(content, module.__dict__)
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if frontmatter is None:
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frontmatter = extract_frontmatter(content)
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log.info('Loaded module: %s', module.__name__)
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# Create appropriate object based on available class type in the module
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if hasattr(module, 'Pipe'):
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return module.Pipe(), 'pipe', frontmatter
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elif hasattr(module, 'Filter'):
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return module.Filter(), 'filter', frontmatter
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elif hasattr(module, 'Action'):
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return module.Action(), 'action', frontmatter
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elif hasattr(module, 'Event'):
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return module.Event(), 'event', frontmatter
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else:
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raise Exception('No Function class found in the module')
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except Exception as e:
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log.error(f'Error loading module: {function_id}: {e}')
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# Cleanup by removing the module in case of error
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del sys.modules[module_name]
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await Functions.update_function_by_id(function_id, {'is_active': False})
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raise e
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finally:
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os.unlink(temp_file.name)
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def _state_cache(request, name: str) -> dict:
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if not hasattr(request.app.state, name):
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setattr(request.app.state, name, {})
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return getattr(request.app.state, name)
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def get_tools_cache(request) -> dict:
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return _state_cache(request, 'TOOLS')
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def get_tool_contents_cache(request) -> dict:
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return _state_cache(request, 'TOOL_CONTENTS')
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def get_functions_cache(request) -> dict:
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return _state_cache(request, 'FUNCTIONS')
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def get_function_contents_cache(request) -> dict:
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return _state_cache(request, 'FUNCTION_CONTENTS')
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async def get_tool_module_from_cache(request, tool_id, load_from_db=True):
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tools_cache = get_tools_cache(request)
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tool_contents_cache = get_tool_contents_cache(request)
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content = None
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if load_from_db:
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# Always load from the database by default
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tool = await Tools.get_tool_by_id(tool_id)
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if not tool:
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raise Exception(f'Tool not found: {tool_id}')
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content = tool.content
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new_content = replace_imports(content)
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if new_content != content:
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content = new_content
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# Update the tool content in the database
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await Tools.update_tool_by_id(tool_id, {'content': content})
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if tool_id in tool_contents_cache and tool_id in tools_cache:
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if tool_contents_cache[tool_id] == content:
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return tools_cache[tool_id], None
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tool_module, frontmatter = await load_tool_module_by_id(tool_id, content)
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else:
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if tool_id in tools_cache:
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return tools_cache[tool_id], None
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tool_module, frontmatter = await load_tool_module_by_id(tool_id)
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tools_cache[tool_id] = tool_module
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tool_contents_cache[tool_id] = content
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return tool_module, frontmatter
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async def get_function_module_from_cache(
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request, function_id, function: FunctionModel | None = None, load_from_db=True
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):
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functions_cache = get_functions_cache(request)
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function_contents_cache = get_function_contents_cache(request)
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content = None
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if load_from_db:
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# Always load from the database by default
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# This is useful for hooks like "inlet" or "outlet" where the content might change
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# and we want to ensure the latest content is used.
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if function is None:
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function = await Functions.get_function_by_id(function_id)
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if not function:
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raise Exception(f'Function not found: {function_id}')
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content = function.content
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new_content = replace_imports(content)
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if new_content != content:
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content = new_content
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# Update the function content in the database
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await Functions.update_function_by_id(function_id, {'content': content})
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if function_id in function_contents_cache and function_id in functions_cache:
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if function_contents_cache[function_id] == content:
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return functions_cache[function_id], None, None
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function_module, function_type, frontmatter = await load_function_module_by_id(function_id, content)
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else:
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# Load from cache (e.g. "stream" hook)
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# This is useful for performance reasons
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if function_id in functions_cache:
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return functions_cache[function_id], None, None
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function_module, function_type, frontmatter = await load_function_module_by_id(function_id)
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functions_cache[function_id] = function_module
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function_contents_cache[function_id] = content
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return function_module, function_type, frontmatter
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_installed_requirements = set()
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def install_frontmatter_requirements(requirements: str):
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global _installed_requirements
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if not ENABLE_PIP_INSTALL_FRONTMATTER_REQUIREMENTS:
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log.info('ENABLE_PIP_INSTALL_FRONTMATTER_REQUIREMENTS is disabled, skipping installation of requirements.')
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return
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if OFFLINE_MODE:
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log.info('Offline mode enabled, skipping installation of requirements.')
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return
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if requirements:
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try:
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req_list = [req.strip() for req in requirements.split(',')]
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new_reqs = [req for req in req_list if req and req not in _installed_requirements]
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if not new_reqs:
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return
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log.info('Installing requirements: %s', ' '.join(new_reqs))
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subprocess.check_call(
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[sys.executable, '-m', 'pip', 'install'] + PIP_OPTIONS + new_reqs + PIP_PACKAGE_INDEX_OPTIONS
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)
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_installed_requirements.update(new_reqs)
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except Exception as e:
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log.error(f'Error installing packages: {" ".join(new_reqs)}')
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raise e
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else:
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log.info('No requirements found in frontmatter.')
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async def install_tool_and_function_dependencies():
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"""
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Install all dependencies for all admin tools and active functions.
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By first collecting all dependencies from the frontmatter of each tool and function,
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and then installing them using pip. Duplicates or similar version specifications are
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handled by pip as much as possible.
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"""
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if not ENABLE_PLUGINS:
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log.info('ENABLE_PLUGINS is disabled, skipping tool and function dependencies.')
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return
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function_list = await Functions.get_functions(active_only=True)
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tool_list = await Tools.get_tools()
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all_dependencies = ''
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try:
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for function in function_list:
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frontmatter = extract_frontmatter(replace_imports(function.content))
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if dependencies := frontmatter.get('requirements'):
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all_dependencies += f'{dependencies}, '
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for tool in tool_list:
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# Only install requirements for admin tools
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if tool.user and tool.user.role == 'admin':
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frontmatter = extract_frontmatter(replace_imports(tool.content))
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if dependencies := frontmatter.get('requirements'):
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all_dependencies += f'{dependencies}, '
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# `pip install` via subprocess can block for a long time; offload it.
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await asyncio.to_thread(install_frontmatter_requirements, all_dependencies.strip(', '))
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except Exception as e:
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log.error(f'Error installing requirements: {e}')
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