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盐粒 Yanli
8874f3c80b
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
95 lines
3.0 KiB
Python
95 lines
3.0 KiB
Python
from typing import Any
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from flask_restx import Resource
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from pydantic import BaseModel, Field, field_validator
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from sqlalchemy.orm import Session
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from controllers.common.schema import query_params_from_model, register_response_schema_models
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from controllers.common.session import with_session
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from controllers.console import console_ns
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from controllers.console.app.wraps import get_app_model
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from controllers.console.wraps import (
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RBACPermission,
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RBACResourceScope,
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account_initialization_required,
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model_validate,
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rbac_permission_required,
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setup_required,
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)
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from fields.base import ResponseModel
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from libs.helper import uuid_value
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from libs.login import login_required
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from models.model import App, AppMode
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from services.agent_service import AgentService
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class AgentLogQuery(BaseModel):
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message_id: str = Field(..., description="Message UUID")
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conversation_id: str = Field(..., description="Conversation UUID")
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@field_validator("message_id", "conversation_id")
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@classmethod
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def validate_uuid(cls, value: str) -> str:
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return uuid_value(value)
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class AgentLogMetaResponse(ResponseModel):
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status: str
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executor: str
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start_time: str
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elapsed_time: float | None = None
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total_tokens: int
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agent_mode: str
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iterations: int
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class AgentToolCallResponse(ResponseModel):
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status: str
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error: str | None = None
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time_cost: float | int
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tool_name: str
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tool_label: str
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tool_input: dict[str, Any]
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tool_output: dict[str, Any]
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tool_parameters: dict[str, Any]
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tool_icon: Any = Field(default=None)
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class AgentIterationLogResponse(ResponseModel):
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tokens: int
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tool_calls: list[AgentToolCallResponse]
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tool_raw: dict[str, Any]
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thought: str | None = None
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created_at: str
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files: list[Any] = Field(default_factory=list)
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class AgentLogResponse(ResponseModel):
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meta: AgentLogMetaResponse
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iterations: list[AgentIterationLogResponse]
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files: list[Any] = Field(default_factory=list)
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register_response_schema_models(console_ns, AgentLogResponse)
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@console_ns.route("/apps/<uuid:app_id>/agent/logs")
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class AgentLogApi(Resource):
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@console_ns.doc("get_agent_logs")
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@console_ns.doc(description="Get agent execution logs for an application")
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@console_ns.doc(params={"app_id": "Application ID"})
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@console_ns.doc(params=query_params_from_model(AgentLogQuery))
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@console_ns.response(200, "Agent logs retrieved successfully", console_ns.models[AgentLogResponse.__name__])
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@console_ns.response(400, "Invalid request parameters")
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@setup_required
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@login_required
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@account_initialization_required
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@rbac_permission_required(RBACResourceScope.APP, RBACPermission.APP_VIEW_LAYOUT)
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@with_session(write=False)
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@get_app_model(mode=[AppMode.AGENT_CHAT])
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@model_validate(AgentLogQuery)
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def get(self, req_data: AgentLogQuery, session: Session, app_model: App):
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"""Get agent logs."""
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return AgentService.get_agent_logs(app_model, req_data.conversation_id, req_data.message_id, session)
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