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The backend import package is now docsgpt, the name it will carry on PyPI; application was far too generic to install into anyone's site-packages. git mv plus a mechanical rewrite of every import, dotted string and path reference: 734 Python files, the compose files, Dockerfile, workflows, docs, setup scripts, devcontainer, k8s manifests, vscode config, pytest and coverage config, .gitignore. Behaviour is unchanged. Kept for one release: - A top-level application package whose meta-path finder resolves application.x.y to the already-imported docsgpt.x.y object, so old imports and entry points (celery -A application.app.celery, uvicorn application.asgi:asgi_app) keep working with a FutureWarning. - Celery registers every application.* task name as an alias of its docsgpt.* task on start-up, so messages queued by the previous release still run. The redbeat key prefix moves to redbeat:docsgpt:v2: so schedule entries the previous release wrote are left unread instead of firing twice. The backend image builds from the repository root (docker build -f docsgpt/Dockerfile .) so it can ship the alias package; a root .dockerignore allow-lists docsgpt/ and application/ and keeps caches, local data, .env files, the sample index files and the Dockerfile out. Compose and the image workflows point at the new context.
78 lines
2.7 KiB
Python
78 lines
2.7 KiB
Python
import importlib
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import inspect
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import os
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import pkgutil
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from docsgpt.agents.tools.base import Tool
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class ToolManager:
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def __init__(self, config):
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self.config = config
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self.tools = {}
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self.load_tools()
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def load_tools(self):
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tools_dir = os.path.join(os.path.dirname(__file__))
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for finder, name, ispkg in pkgutil.iter_modules([tools_dir]):
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if name == "base" or name.startswith("__"):
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continue
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module = importlib.import_module(f"docsgpt.agents.tools.{name}")
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for member_name, obj in inspect.getmembers(module, inspect.isclass):
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if issubclass(obj, Tool) and obj is not Tool and not obj.internal:
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tool_config = self.config.get(name, {})
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self.tools[name] = obj(tool_config)
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def load_tool(self, tool_name, tool_config, user_id=None):
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self.config[tool_name] = tool_config
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module = importlib.import_module(f"docsgpt.agents.tools.{tool_name}")
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for member_name, obj in inspect.getmembers(module, inspect.isclass):
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if issubclass(obj, Tool) and obj is not Tool:
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if (
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tool_name
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in {
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"mcp_tool",
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"notes",
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"memory",
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"todo_list",
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"scheduler",
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"remote_device",
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"code_executor",
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"artifact_generator",
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"read_document",
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}
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and user_id
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):
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return obj(tool_config, user_id)
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else:
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return obj(tool_config)
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def execute_action(self, tool_name, action_name, user_id=None, **kwargs):
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if tool_name not in self.tools:
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raise ValueError(f"Tool '{tool_name}' not loaded")
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if (
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tool_name
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in {
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"mcp_tool",
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"memory",
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"todo_list",
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"notes",
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"scheduler",
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"remote_device",
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"code_executor",
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"artifact_generator",
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"read_document",
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}
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and user_id
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):
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tool_config = self.config.get(tool_name, {})
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tool = self.load_tool(tool_name, tool_config, user_id)
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return tool.execute_action(action_name, **kwargs)
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return self.tools[tool_name].execute_action(action_name, **kwargs)
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def get_all_actions_metadata(self):
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metadata = []
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for tool in self.tools.values():
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metadata.extend(tool.get_actions_metadata())
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return metadata
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