feat: add SCADA frontend action bridge
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@@ -0,0 +1,17 @@
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import { tool } from "@opencode-ai/plugin";
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import { executeFrontendAction } from "./frontend_action.js";
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export default tool({
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description: "清除当前浏览器地图上的 Agent SCADA 分析结果覆盖层。",
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args: {
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reason: tool.schema
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.string()
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.trim()
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.min(1)
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.describe("Why the current SCADA analysis overlay should be cleared."),
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},
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async execute(args, context) {
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return executeFrontendAction("clear_scada_analysis", args, context);
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},
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});
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@@ -0,0 +1,76 @@
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type FrontendActionArgs = Record<string, unknown> & {
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__frontend_action_call_id?: string;
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reason?: string;
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};
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type FrontendActionBridgeResult = {
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version: "frontend-action-result@1";
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status: "succeeded" | "failed" | "rejected" | "cancelled" | "expired";
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output?: unknown;
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error?: { code?: string; message?: string };
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};
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const internalBaseUrl =
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process.env.TJWATER_AGENT_INTERNAL_BASE_URL ?? "http://127.0.0.1:8787";
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const internalToken = process.env.TJWATER_AGENT_INTERNAL_TOKEN ?? "";
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export const executeFrontendAction = async (
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name: "render_scada_analysis" | "clear_scada_analysis",
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args: FrontendActionArgs,
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context: { sessionID: string },
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) => {
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const callId = args.__frontend_action_call_id;
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if (!callId) {
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throw new Error("frontend action bridge did not inject the OpenCode call ID");
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}
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const { __frontend_action_call_id: _callId, reason, ...params } = args;
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let response: Response;
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try {
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response = await fetch(`${internalBaseUrl}/internal/frontend-actions/request`, {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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"x-agent-internal-token": internalToken,
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},
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body: JSON.stringify({
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session_id: context.sessionID,
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call_id: callId,
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name,
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params,
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fallback_text: reason,
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}),
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});
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} catch (error) {
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throw new Error(
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`frontend action bridge unavailable: ${error instanceof Error ? error.message : String(error)}`,
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);
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}
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const text = await response.text();
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if (!response.ok) {
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throw new Error(
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`frontend action bridge rejected request (${response.status}): ${text}`,
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);
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}
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return unwrapFrontendActionResult(text);
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};
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export const unwrapFrontendActionResult = (text: string) => {
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let result: FrontendActionBridgeResult;
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try {
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result = JSON.parse(text) as FrontendActionBridgeResult;
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} catch {
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throw new Error("frontend action bridge returned invalid JSON");
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}
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if (result.version !== "frontend-action-result@1" || typeof result.status !== "string") {
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throw new Error("frontend action bridge returned an invalid result");
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}
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if (result.status !== "succeeded") {
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const code = result.error?.code?.trim() || `ACTION_${result.status.toUpperCase()}`;
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const message = result.error?.message?.trim() || `browser action ${result.status}`;
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throw new Error(`${code}: ${message}`);
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}
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if (result.output === undefined) {
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throw new Error("frontend action bridge returned no output");
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}
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return JSON.stringify(result.output);
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};
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@@ -0,0 +1,36 @@
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import { tool } from "@opencode-ai/plugin";
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import { executeFrontendAction } from "./frontend_action.js";
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const sensorId = tool.schema.string().trim().min(1).max(128);
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export default tool({
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description:
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"将已经完成分析并确定等级的 SCADA 点位结果高亮、编号并定位到前端地图。等级只能来自已完成的分析结论。",
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args: {
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reason: tool.schema
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.string()
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.trim()
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.min(1)
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.describe("Why the completed SCADA analysis should be rendered on the map."),
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items: tool.schema
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.array(
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tool.schema.object({
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sensor_id: sensorId.describe("Trusted SCADA sensor identifier."),
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level: tool.schema
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.enum(["high", "medium", "low", "unrated"])
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.describe("Completed analysis level; use unrated only when no level was concluded."),
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}),
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)
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.min(1)
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.max(100)
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.refine(
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(items) => new Set(items.map((item) => item.sensor_id)).size === items.length,
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"sensor_id values must be unique",
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)
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.describe("One to one hundred unique SCADA analysis results."),
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},
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async execute(args, context) {
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return executeFrontendAction("render_scada_analysis", args, context);
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},
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});
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