mirror of
https://github.com/browser-use/browser-use
synced 2026-05-06 17:52:15 +02:00
172 lines
5.7 KiB
Python
172 lines
5.7 KiB
Python
"""Data models for code-use mode."""
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from enum import Enum
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from typing import Any
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from pydantic import BaseModel, ConfigDict, Field
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from uuid_extensions import uuid7str
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class CellType(str, Enum):
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"""Type of notebook cell."""
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CODE = 'code'
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MARKDOWN = 'markdown'
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class ExecutionStatus(str, Enum):
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"""Execution status of a cell."""
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PENDING = 'pending'
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RUNNING = 'running'
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SUCCESS = 'success'
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ERROR = 'error'
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class CodeCell(BaseModel):
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"""Represents a code cell in the notebook-like execution."""
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model_config = ConfigDict(extra='forbid')
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id: str = Field(default_factory=uuid7str)
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cell_type: CellType = CellType.CODE
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source: str = Field(description='The code to execute')
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output: str | None = Field(default=None, description='The output of the code execution')
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execution_count: int | None = Field(default=None, description='The execution count')
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status: ExecutionStatus = Field(default=ExecutionStatus.PENDING)
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error: str | None = Field(default=None, description='Error message if execution failed')
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browser_state: str | None = Field(default=None, description='Browser state after execution')
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class NotebookSession(BaseModel):
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"""Represents a notebook-like session."""
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model_config = ConfigDict(extra='forbid')
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id: str = Field(default_factory=uuid7str)
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cells: list[CodeCell] = Field(default_factory=list)
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current_execution_count: int = Field(default=0)
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namespace: dict[str, Any] = Field(default_factory=dict, description='Current namespace state')
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def add_cell(self, source: str) -> CodeCell:
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"""Add a new code cell to the session."""
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cell = CodeCell(source=source)
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self.cells.append(cell)
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return cell
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def get_cell(self, cell_id: str) -> CodeCell | None:
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"""Get a cell by ID."""
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for cell in self.cells:
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if cell.id == cell_id:
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return cell
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return None
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def get_latest_cell(self) -> CodeCell | None:
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"""Get the most recently added cell."""
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if self.cells:
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return self.cells[-1]
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return None
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def increment_execution_count(self) -> int:
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"""Increment and return the execution count."""
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self.current_execution_count += 1
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return self.current_execution_count
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class NotebookExport(BaseModel):
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"""Export format for Jupyter notebook."""
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model_config = ConfigDict(extra='forbid')
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nbformat: int = Field(default=4)
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nbformat_minor: int = Field(default=5)
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metadata: dict[str, Any] = Field(default_factory=dict)
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cells: list[dict[str, Any]] = Field(default_factory=list)
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class CodeAgentModelOutput(BaseModel):
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"""Model output for CodeAgent - contains the code and full LLM response."""
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model_config = ConfigDict(extra='forbid')
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model_output: str = Field(description='The extracted code from the LLM response')
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full_response: str = Field(description='The complete LLM response including any text/reasoning')
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class CodeAgentResult(BaseModel):
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"""Result of executing a code cell in CodeAgent."""
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model_config = ConfigDict(extra='forbid')
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extracted_content: str | None = Field(default=None, description='Output from code execution')
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error: str | None = Field(default=None, description='Error message if execution failed')
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is_done: bool = Field(default=False, description='Whether task is marked as done')
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success: bool | None = Field(default=None, description='Self-reported success from done() call')
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class CodeAgentState(BaseModel):
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"""State information for a CodeAgent step."""
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model_config = ConfigDict(extra='forbid', arbitrary_types_allowed=True)
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url: str | None = Field(default=None, description='Current page URL')
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title: str | None = Field(default=None, description='Current page title')
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screenshot_path: str | None = Field(default=None, description='Path to screenshot file')
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def get_screenshot(self) -> str | None:
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"""Load screenshot from disk and return as base64 string."""
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if not self.screenshot_path:
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return None
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import base64
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from pathlib import Path
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path_obj = Path(self.screenshot_path)
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if not path_obj.exists():
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return None
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try:
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with open(path_obj, 'rb') as f:
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screenshot_data = f.read()
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return base64.b64encode(screenshot_data).decode('utf-8')
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except Exception:
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return None
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class CodeAgentStepMetadata(BaseModel):
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"""Metadata for a single CodeAgent step including timing and token information."""
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model_config = ConfigDict(extra='forbid')
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input_tokens: int | None = Field(default=None, description='Number of input tokens used')
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output_tokens: int | None = Field(default=None, description='Number of output tokens used')
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step_start_time: float = Field(description='Step start timestamp (Unix time)')
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step_end_time: float = Field(description='Step end timestamp (Unix time)')
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@property
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def duration_seconds(self) -> float:
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"""Calculate step duration in seconds."""
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return self.step_end_time - self.step_start_time
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class CodeAgentHistory(BaseModel):
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"""History item for CodeAgent actions."""
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model_config = ConfigDict(extra='forbid', arbitrary_types_allowed=True)
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model_output: CodeAgentModelOutput | None = Field(default=None, description='LLM output for this step')
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result: list[CodeAgentResult] = Field(default_factory=list, description='Results from code execution')
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state: CodeAgentState = Field(description='Browser state at this step')
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metadata: CodeAgentStepMetadata | None = Field(default=None, description='Step timing and token metadata')
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screenshot_path: str | None = Field(default=None, description='Legacy field for screenshot path')
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def model_dump(self, **kwargs) -> dict[str, Any]:
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"""Custom serialization for CodeAgentHistory."""
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return {
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'model_output': self.model_output.model_dump() if self.model_output else None,
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'result': [r.model_dump() for r in self.result],
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'state': self.state.model_dump(),
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'metadata': self.metadata.model_dump() if self.metadata else None,
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'screenshot_path': self.screenshot_path,
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}
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