Merge pull request #1103 from nagisa77/codex/add-git-action-to-run-reply_bots.ts

Add scheduled workflow to run reply bots

.github/workflows/reply-bots.yml

@@ -0,0 +1,28 @@
+name: Reply Bots
+
+on:
+  schedule:
+    - cron: "*/30 * * * *"
+  workflow_dispatch:
+
+jobs:
+  run-reply-bot:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: "20"
+          cache: "npm"
+
+      - name: Install dependencies
+        run: npm install --no-save @openai/agents ts-node typescript
+
+      - name: Run reply bot
+        env:
+          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+          OPENISLE_TOKEN: ${{ secrets.OPENISLE_TOKEN }}
+        run: npx ts-node --esm bots/reply_bots.ts

bots/reply_bots.ts

@@ -0,0 +1,131 @@
+// reply_bot.ts
+import { Agent, Runner, hostedMcpTool, withTrace } from "@openai/agents";
+
+console.log("✅ Reply bot starting...");
+
+const allowedMcpTools = [
+  "search",
+  "reply_to_post",
+  "reply_to_comment",
+  "recent_posts",
+  "get_post",
+  "list_unread_messages",
+  "mark_notifications_read",
+];
+
+console.log("🛠️ Configured Hosted MCP tools:", allowedMcpTools.join(", "));
+
+// ---- MCP 工具（Hosted MCP） ----
+// 关键点：requireApproval 设为 "never"，避免卡在人工批准。
+const mcp = hostedMcpTool({
+  serverLabel: "openisle_mcp",
+  serverUrl: "https://www.open-isle.com/mcp",
+  allowedTools: allowedMcpTools,
+  requireApproval: "never",
+});
+
+type WorkflowInput = { input_as_text: string };
+
+// 从环境变量读取你的站点鉴权令牌（可选）
+const OPENISLE_TOKEN = process.env.OPENISLE_TOKEN ?? "";
+
+console.log(
+  OPENISLE_TOKEN
+    ? "🔑 OPENISLE_TOKEN detected in environment."
+    : "🔓 OPENISLE_TOKEN not set; agent will request it if required."
+);
+
+// ---- 定义 Agent ----
+const openisleBot = new Agent({
+  name: "OpenIsle Bot",
+  instructions: [
+    "You are a helpful and cute assistant for https://www.open-isle.com. Please use plenty of kawaii kaomoji (颜表情), such as (๑˃ᴗ˂)ﻭ, (•̀ω•́)✧, (｡•ᴗ-)_♡, (⁎⁍̴̛ᴗ⁍̴̛⁎), etc., in your replies to create a friendly, adorable vibe.",
+    "Finish tasks end-to-end before replying. If multiple MCP tools are needed, call them sequentially until the task is truly done.",
+    "When presenting the result, reply in Chinese with a concise, cute summary filled with kaomoji and include any important URLs or IDs.",
+    OPENISLE_TOKEN
+      ? `If tools require auth, use this token exactly where the tool schema expects it: ${OPENISLE_TOKEN}`
+      : "If a tool requires auth, ask me to provide OPENISLE_TOKEN via env.",
+    "After finishing replies, call mark_notifications_read with all processed notification IDs to keep the inbox clean.",
+  ].join("\n"),
+  tools: [mcp],
+  model: "gpt-4o",
+  modelSettings: {
+    temperature: 0.7,
+    topP: 1,
+    maxTokens: 2048,
+    toolChoice: "auto",
+    store: true,
+  },
+});
+
+// ---- 入口函数：跑到拿到 finalOutput 为止，然后输出并退出 ----
+export const runWorkflow = async (workflow: WorkflowInput) => {
+  // 强烈建议在外部（shell）设置 OPENAI_API_KEY
+  if (!process.env.OPENAI_API_KEY) {
+    throw new Error("Missing OPENAI_API_KEY");
+  }
+
+  const runner = new Runner({
+    workflowName: "OpenIsle Bot",
+    traceMetadata: {
+      __trace_source__: "agent-builder",
+      workflow_id: "wf_69003cbd47e08190928745d3c806c0b50d1a01cfae052be8",
+    },
+    // 如需完全禁用上报可加：tracingDisabled: true
+  });
+
+  return await withTrace("OpenIsle Bot run", async () => {
+    const preview = workflow.input_as_text.trim();
+    console.log(
+      "📝 Received workflow input (preview):",
+      preview.length > 200 ? `${preview.slice(0, 200)}…` : preview
+    );
+
+    // Runner.run 会自动循环执行：LLM → 工具 → 直至 finalOutput
+    console.log("🚦 Starting agent run with maxTurns=16...");
+    const result = await runner.run(openisleBot, workflow.input_as_text, {
+      maxTurns: 16, // 允许更复杂任务多轮调用 MCP
+      // stream: true  // 如需边跑边看事件可打开，然后消费流事件
+    });
+
+    console.log("📬 Agent run completed. Result keys:", Object.keys(result));
+
+    if (!result.finalOutput) {
+      // 若没产出最终结果，通常是启用了人工批准/工具失败/达到 maxTurns
+      throw new Error("Agent result is undefined (no final output).");
+    }
+
+    const openisleBotResult = { output_text: String(result.finalOutput) };
+
+    console.log(
+      "🤖 Agent result (length=%d):\n%s",
+      openisleBotResult.output_text.length,
+      openisleBotResult.output_text
+    );
+    return openisleBotResult;
+  });
+};
+
+// ---- CLI 运行（示范）----
+if (require.main === module) {
+  (async () => {
+    try {
+      const query = `
+        【AUTO】无需确认，自动处理所有未读的提及与评论：
+        1）调用 list_unread_messages；
+        2）依次处理每条“提及/评论”：如需上下文则使用 get_post 获取，生成简明中文回复；如有 commentId 则用 reply_to_comment，否则用 reply_to_post；
+        3）跳过关注和系统事件；
+        4）保证幂等性：如该贴最后一条是你自己发的回复，则跳过；
+        5）调用 mark_notifications_read，传入本次已处理的通知 ID 清理已读；
+        6）最多只处理最新10条；结束时仅输出简要摘要（包含URL或ID）。
+      `;
+        
+      console.log("🔍 Running workflow...");
+      await runWorkflow({ input_as_text: query });
+      process.exit(0);
+    } catch (err: any) {
+      console.error("❌ Agent failed:", err?.stack || err);
+      process.exit(1);
+    }
+  })();
+}

mcp/src/openisle_mcp/schemas.py

@@ -5,7 +5,7 @@ from __future__ import annotations
 from datetime import datetime
 from typing import Any, Optional
 
-from pydantic import BaseModel, Field, ConfigDict
+from pydantic import BaseModel, Field, ConfigDict, field_validator
 
 
 class SearchResultItem(BaseModel):
@@ -170,6 +170,15 @@ class CommentData(BaseModel):
 
     model_config = ConfigDict(populate_by_name=True, extra="allow")
 
+    @field_validator("replies", "reactions", mode="before")
+    @classmethod
+    def _ensure_comment_lists(cls, value: Any) -> list[Any]:
+        """Convert ``None`` payloads to empty lists for comment collections."""
+
+        if value is None:
+            return []
+        return value
+
 
 class CommentReplyResult(BaseModel):
     """Structured response returned when replying to a comment."""
@@ -253,6 +262,15 @@ class PostSummary(BaseModel):
 
     model_config = ConfigDict(populate_by_name=True, extra="allow")
 
+    @field_validator("tags", "reactions", "participants", mode="before")
+    @classmethod
+    def _ensure_post_lists(cls, value: Any) -> list[Any]:
+        """Normalize ``None`` values returned by the backend to empty lists."""
+
+        if value is None:
+            return []
+        return value
+
 
 class RecentPostsResponse(BaseModel):
     """Structured response for the recent posts tool."""
@@ -278,6 +296,15 @@ class PostDetail(PostSummary):
 
     model_config = ConfigDict(populate_by_name=True, extra="allow")
 
+    @field_validator("comments", mode="before")
+    @classmethod
+    def _ensure_comments_list(cls, value: Any) -> list[Any]:
+        """Treat ``None`` comments payloads as empty lists."""
+
+        if value is None:
+            return []
+        return value
+
 
 class NotificationData(BaseModel):
     """Unread notification payload returned by the backend."""
@@ -331,3 +358,15 @@ class UnreadNotificationsResponse(BaseModel):
         default_factory=list,
         description="Unread notifications returned by the backend.",
     )
+
+
+class NotificationCleanupResult(BaseModel):
+    """Structured response returned after marking notifications as read."""
+
+    processed_ids: list[int] = Field(
+        default_factory=list,
+        description="Identifiers that were marked as read in the backend.",
+    )
+    total_marked: int = Field(
+        description="Total number of notifications successfully marked as read.",
+    )

mcp/src/openisle_mcp/search_client.py

@@ -253,6 +253,53 @@ class SearchClient:
         )
         return [self._ensure_dict(entry) for entry in payload]
 
+    async def mark_notifications_read(
+        self,
+        ids: list[int],
+        *,
+        token: str | None = None,
+    ) -> None:
+        """Mark the provided notifications as read for the authenticated user."""
+
+        if not ids:
+            raise ValueError(
+                "At least one notification identifier must be provided to mark as read."
+            )
+
+        sanitized_ids: list[int] = []
+        for value in ids:
+            if isinstance(value, bool):
+                raise ValueError("Notification identifiers must be integers, not booleans.")
+            try:
+                converted = int(value)
+            except (TypeError, ValueError) as exc:  # pragma: no cover - defensive
+                raise ValueError(
+                    "Notification identifiers must be integers."
+                ) from exc
+            if converted <= 0:
+                raise ValueError(
+                    "Notification identifiers must be positive integers."
+                )
+            sanitized_ids.append(converted)
+
+        client = self._get_client()
+        resolved_token = self._require_token(token)
+        logger.debug(
+            "Marking %d notifications as read: ids=%s",
+            len(sanitized_ids),
+            sanitized_ids,
+        )
+        response = await client.post(
+            "/api/notifications/read",
+            json={"ids": sanitized_ids},
+            headers=self._build_headers(token=resolved_token, include_json=True),
+        )
+        response.raise_for_status()
+        logger.info(
+            "Successfully marked %d notifications as read.",
+            len(sanitized_ids),
+        )
+
     async def aclose(self) -> None:
         """Dispose of the underlying HTTP client."""
 

mcp/src/openisle_mcp/server.py

@@ -17,6 +17,7 @@ from .schemas import (
     CommentData,
     CommentReplyResult,
     NotificationData,
+    NotificationCleanupResult,
     UnreadNotificationsResponse,
     PostDetail,
     PostSummary,
@@ -165,6 +166,8 @@ async def reply_to_post(
         raise ValueError("Reply content must not be empty.")
 
     sanitized_token = token.strip() if isinstance(token, str) else None
+    if sanitized_token == "":
+        sanitized_token = None
 
     sanitized_captcha = captcha.strip() if isinstance(captcha, str) else None
 
@@ -552,6 +555,79 @@ async def list_unread_messages(
     )
 
 
+@app.tool(
+    name="mark_notifications_read",
+    description="Mark specific notification messages as read to remove them from the unread list.",
+    structured_output=True,
+)
+async def mark_notifications_read(
+    ids: Annotated[
+        list[int],
+        PydanticField(
+            min_length=1,
+            description="Notification identifiers that should be marked as read.",
+        ),
+    ],
+    token: Annotated[
+        str | None,
+        PydanticField(
+            default=None,
+            description=(
+                "Optional JWT bearer token. When omitted the configured access token is used."
+            ),
+        ),
+    ] = None,
+    ctx: Context | None = None,
+) -> NotificationCleanupResult:
+    """Mark the supplied notifications as read and report the processed identifiers."""
+
+    sanitized_token = token.strip() if isinstance(token, str) else None
+    if sanitized_token == "":
+        sanitized_token = None
+
+    try:
+        logger.info(
+            "Marking %d notifications as read",  # pragma: no branch - logging
+            len(ids),
+        )
+        await search_client.mark_notifications_read(ids, token=sanitized_token)
+    except httpx.HTTPStatusError as exc:  # pragma: no cover - network errors
+        message = (
+            "OpenIsle backend returned HTTP "
+            f"{exc.response.status_code} while marking notifications as read."
+        )
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+    except httpx.RequestError as exc:  # pragma: no cover - network errors
+        message = f"Unable to reach OpenIsle backend notification service: {exc}."
+        if ctx is not None:
+            await ctx.error(message)
+        raise ValueError(message) from exc
+
+    processed_ids: list[int] = []
+    for value in ids:
+        if isinstance(value, bool):
+            raise ValueError("Notification identifiers must be integers, not booleans.")
+        converted = int(value)
+        if converted <= 0:
+            raise ValueError("Notification identifiers must be positive integers.")
+        processed_ids.append(converted)
+    if ctx is not None:
+        await ctx.info(
+            f"Marked {len(processed_ids)} notifications as read.",
+        )
+    logger.debug(
+        "Successfully marked notifications as read: ids=%s",
+        processed_ids,
+    )
+
+    return NotificationCleanupResult(
+        processed_ids=processed_ids,
+        total_marked=len(processed_ids),
+    )
+
+
 def main() -> None:
     """Run the MCP server using the configured transport."""