65 lines
1.8 KiB
Python
65 lines
1.8 KiB
Python
from dataclasses import dataclass
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from typing import Any, Dict
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import httpx
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@dataclass
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class ActionPlan:
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grid_id: str
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target_cell: str | None
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action: str
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text: str | None = None
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class ClickthroughSkill:
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"""Lightweight wrapper around the Clickthrough HTTP API."""
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def __init__(self, server_url: str = "http://localhost:8000") -> None:
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self._client = httpx.Client(base_url=server_url, timeout=10)
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def describe_grid(
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self,
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screenshot_base64: str,
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width: int,
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height: int,
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rows: int = 4,
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columns: int = 4,
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) -> Dict[str, Any]:
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payload = {
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"width": width,
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"height": height,
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"rows": rows,
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"columns": columns,
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"screenshot_base64": screenshot_base64,
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"memo": "agent-powered grid",
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}
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response = self._client.post("/grid/init", json=payload)
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response.raise_for_status()
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return response.json()
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def plan_action(self, plan: ActionPlan) -> Dict[str, Any]:
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payload = {
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"grid_id": plan.grid_id,
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"action": plan.action,
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"target_cell": plan.target_cell,
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"text": plan.text,
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"comment": "skill-generated plan",
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}
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response = self._client.post("/grid/action", json=payload)
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response.raise_for_status()
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return response.json()
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if __name__ == "__main__":
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import base64
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dummy = base64.b64encode(b"fake-screenshot").decode()
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skill = ClickthroughSkill()
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grid = skill.describe_grid(dummy, width=800, height=600)
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print("Grid cells:", len(grid.get("cells", [])))
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if grid.get("cells"):
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first_cell = grid["cells"][0]["cell_id"]
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result = skill.plan_action(ActionPlan(grid_id=grid["grid_id"], target_cell=first_cell, action="click"))
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print("Action result:", result)
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