Agent/agent/tools/builtin/feishu/chat.py

import json
import os
import base64
import httpx
import asyncio
from typing import Optional, List, Dict, Any, Union
from .feishu_client import FeishuClient, FeishuDomain
from agent.tools import tool, ToolResult, ToolContext

# 从环境变量获取飞书配置
# 也可以在此设置硬编码的默认值，但推荐使用环境变量
FEISHU_APP_ID = os.getenv("FEISHU_APP_ID", "cli_a90fe317987a9cc9")
FEISHU_APP_SECRET = os.getenv("FEISHU_APP_SECRET", "nn2dWuXTiRA2N6xodbm4g0qz1AfM2ayi")

CONTACTS_FILE = os.path.join(os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", "..", "..")), "config", "feishu_contacts.json")
CHAT_HISTORY_DIR = os.path.join(os.path.dirname(__file__), "chat_history")
UNREAD_SUMMARY_FILE = os.path.join(CHAT_HISTORY_DIR, "chat_summary.json")

# ==================== 一、文件内使用的功能函数 ====================

def load_contacts() -> List[Dict[str, Any]]:
    """读取 contacts.json 中的所有联系人"""
    if not os.path.exists(CONTACTS_FILE):
        return []
    try:
        with open(CONTACTS_FILE, 'r', encoding='utf-8') as f:
            return json.load(f)
    except Exception:
        return []

def save_contacts(contacts: List[Dict[str, Any]]):
    """保存联系人信息到 contacts.json"""
    try:
        with open(CONTACTS_FILE, 'w', encoding='utf-8') as f:
            json.dump(contacts, f, ensure_ascii=False, indent=2)
    except Exception as e:
        print(f"保存联系人失败: {e}")

def list_contacts_info() -> List[Dict[str, str]]:
    """
    1. 列出所有联系人信息
    读取 contacts.json 中的每一个联系人的 name、description，以字典列表返回
    """
    contacts = load_contacts()
    return [{"name": c.get("name", ""), "description": c.get("description", "")} for c in contacts]

def get_contact_full_info(name: str) -> Optional[Dict[str, Any]]:
    """
    2. 根据联系人名称获取联系人完整字典信息
    从 contacts.json 中读取每一个联系人做名称匹配，返回数据中的所有字段为一个字典对象
    """
    contacts = load_contacts()
    for c in contacts:
        if c.get("name") == name:
            return c
    return None

def get_contact_by_id(id_value: str) -> Optional[Dict[str, Any]]:
    """根据 chat_id 或 open_id 获取联系人信息"""
    contacts = load_contacts()
    for c in contacts:
        if c.get("chat_id") == id_value or c.get("open_id") == id_value:
            return c
    return None

def update_contact_chat_id(name: str, chat_id: str):
    """
    3. 更新某一个联系人的 chat_id
    """
    contacts = load_contacts()
    updated = False
    for c in contacts:
        if c.get("name") == name:
            if not c.get("chat_id"):
                c["chat_id"] = chat_id
                updated = True
            break
    if updated:
        save_contacts(contacts)

# ==================== 二、聊天记录文件管理 ====================

def _ensure_chat_history_dir():
    if not os.path.exists(CHAT_HISTORY_DIR):
        os.makedirs(CHAT_HISTORY_DIR)

def get_chat_file_path(contact_name: str) -> str:
    _ensure_chat_history_dir()
    return os.path.join(CHAT_HISTORY_DIR, f"chat_{contact_name}.json")

def load_chat_history(contact_name: str) -> List[Dict[str, Any]]:
    path = get_chat_file_path(contact_name)
    if os.path.exists(path):
        try:
            with open(path, 'r', encoding='utf-8') as f:
                return json.load(f)
        except Exception:
            return []
    return []

def save_chat_history(contact_name: str, history: List[Dict[str, Any]]):
    path = get_chat_file_path(contact_name)
    try:
        with open(path, 'w', encoding='utf-8') as f:
            json.dump(history, f, ensure_ascii=False, indent=2)
    except Exception as e:
        print(f"保存聊天记录失败: {e}")

def update_unread_count(contact_name: str, increment: int = 1, reset: bool = False):
    """更新未读消息摘要"""
    _ensure_chat_history_dir()
    summary = {}
    if os.path.exists(UNREAD_SUMMARY_FILE):
        try:
            with open(UNREAD_SUMMARY_FILE, 'r', encoding='utf-8') as f:
                summary = json.load(f)
        except Exception:
            summary = {}
    
    if reset:
        summary[contact_name] = 0
    else:
        summary[contact_name] = summary.get(contact_name, 0) + increment
    
    try:
        with open(UNREAD_SUMMARY_FILE, 'w', encoding='utf-8') as f:
            json.dump(summary, f, ensure_ascii=False, indent=2)
    except Exception as e:
        print(f"更新未读摘要失败: {e}")

# ==================== 三、@tool 工具 ====================

@tool(
    display={
        "zh": {
            "name": "获取飞书联系人列表",
            "params": {}
        },
        "en": {
            "name": "Get Feishu Contact List",
            "params": {}
        }
    }
)
async def feishu_get_contact_list(context: Optional[ToolContext] = None) -> ToolResult:
    """
    获取所有联系人的名称和描述。

    Args:
        context: 工具执行上下文（可选）
    """
    contacts = list_contacts_info()
    return ToolResult(
        title="获取联系人列表成功",
        output=json.dumps(contacts, ensure_ascii=False, indent=2),
        metadata={"contacts": contacts}
    )

@tool(
    display={
        "zh": {
            "name": "给飞书联系人发送消息",
            "params": {
                "contact_name": "联系人名称",
                "content": "消息内容。OpenAI 多模态格式列表 (例如: [{'type': 'text', 'text': '你好'}, {'type': 'image_url', 'image_url': {'url': '...'}}])"
            }
        },
        "en": {
            "name": "Send Message to Feishu Contact",
            "params": {
                "contact_name": "Contact Name",
                "content": "Message content. OpenAI multimodal list format."
            }
        }
    }
)
async def feishu_send_message_to_contact(
    contact_name: str,
    content: Any,
    context: Optional[ToolContext] = None
) -> ToolResult:
    """
    给指定的联系人发送消息。支持发送文本和图片，OpenAI 多模态格式，会自动转换为飞书相应的格式并发起多次发送。

    Args:
        contact_name: 飞书联系人的名称
        content: 消息内容。OpenAI 多模态列表格式。
    """
    contact = get_contact_full_info(contact_name)
    if not contact:
        return ToolResult(title="发送失败", output=f"未找到联系人: {contact_name}", error="Contact not found")

    client = FeishuClient(app_id=FEISHU_APP_ID, app_secret=FEISHU_APP_SECRET)
    
    # 确定接收者 ID (优先使用 chat_id，否则使用 open_id)
    receive_id = contact.get("chat_id") or contact.get("open_id") or contact.get("user_id")
    if not receive_id:
        return ToolResult(title="发送失败", output="联系人 ID 信息缺失", error="Receiver ID not found in contacts.json")

    # 如果 content 是字符串，尝试解析为 JSON
    if isinstance(content, str):
        try:
            parsed = json.loads(content)
            if isinstance(parsed, (list, dict)):
                content = parsed
        except (json.JSONDecodeError, TypeError):
            pass

    try:
        last_res = None
        if isinstance(content, str):
            last_res = client.send_message(to=receive_id, text=content)
        elif isinstance(content, list):
            for item in content:
                item_type = item.get("type")
                if item_type == "text":
                    last_res = client.send_message(to=receive_id, text=item.get("text", ""))
                elif item_type == "image_url":
                    img_info = item.get("image_url", {})
                    url = img_info.get("url")
                    if url.startswith("data:image"):
                        # 处理 base64 图片
                        try:
                            if "," in url:
                                _, encoded = url.split(",", 1)
                            else:
                                encoded = url
                            image_bytes = base64.b64decode(encoded)
                            last_res = client.send_image(to=receive_id, image=image_bytes)
                        except Exception as e:
                            print(f"解析 base64 图片失败: {e}")
                    else:
                        # 处理网络 URL
                        try:
                            async with httpx.AsyncClient() as httpx_client:
                                img_resp = await httpx_client.get(url, timeout=15.0)
                                img_resp.raise_for_status()
                                last_res = client.send_image(to=receive_id, image=img_resp.content)
                        except Exception as e:
                            print(f"下载图片失败: {e}")
        elif isinstance(content, dict):
            # 如果是单块格式也支持一下
            item_type = content.get("type")
            if item_type == "text":
                last_res = client.send_message(to=receive_id, text=content.get("text", ""))
            elif item_type == "image_url":
                # ... 逻辑与上面类似，为了简洁这里也可以统一转成 list 处理
                content = [content]
                # 此处递归或重写逻辑，这里选择简单地重新判断
                return await feishu_send_message_to_contact(contact_name, content, context)
        else:
            return ToolResult(title="发送失败", output="不支持的内容格式", error="Invalid content format")

        if last_res:
            # 更新 chat_id
            update_contact_chat_id(contact_name, last_res.chat_id)

            # [待开启] 发送即记录：为了维护完整的聊天记录，将机器人发出的消息也保存到本地文件
            try:
                history = load_chat_history(contact_name)
                history.append({
                    "role": "assistant",
                    "message_id": last_res.message_id,
                    "content": content if isinstance(content, list) else [{"type": "text", "text": content}]
                })
                save_chat_history(contact_name, history)
                # 机器人回复了，将该联系人的未读计数重置为 0
                update_unread_count(contact_name, reset=True)
            except Exception as e:
                print(f"记录发送的消息失败: {e}")

            return ToolResult(
                title=f"消息已成功发送至 {contact_name}",
                output=f"发送成功。消息 ID: {last_res.message_id}",
                metadata={"message_id": last_res.message_id, "chat_id": last_res.chat_id}
            )
        return ToolResult(title="发送失败", output="没有执行成功的发送操作")
    except Exception as e:
        return ToolResult(title="发送异常", output=str(e), error=str(e))

@tool(
    display={
        "zh": {
            "name": "获取飞书联系人回复",
            "params": {
                "contact_name": "联系人名称",
                "wait_time_seconds": "可选，如果当前没有新回复，则最多等待指定的秒数。在等待期间会每秒检查一次，一旦有新回复则立即返回。超过时长仍无回复则返回空。"
            }
        },
        "en": {
            "name": "Get Feishu Contact Replies",
            "params": {
                "contact_name": "Contact Name",
                "wait_time_seconds": "Optional. If there are no new replies, wait up to the specified number of seconds. It will check every second and return immediately if a new reply is detected. If no reply is received after the duration, it returns empty."
            }
        }
    }
)
async def feishu_get_contact_replies(
    contact_name: str,
    wait_time_seconds: Optional[int] = None,
    context: Optional[ToolContext] = None
) -> ToolResult:
    """
    获取指定联系人的最新回复消息。
    返回的数据格式为 OpenAI 多模态消息内容列表。
    只抓取自上一个机器人消息之后的用户回复。

    Args:
        contact_name: 飞书联系人的名称
        wait_time_seconds: 可选的最大轮询等待时间。如果暂时没有新回复，将每秒检查一次直到有回复或超时。
        context: 工具执行上下文（可选）
    """
    contact = get_contact_full_info(contact_name)
    if not contact:
        return ToolResult(title="获取失败", output=f"未找到联系人: {contact_name}", error="Contact not found")

    chat_id = contact.get("chat_id")
    if not chat_id:
        return ToolResult(title="获取失败", output=f"联系人 {contact_name} 尚未建立会话 (无 chat_id)", error="No chat_id")

    client = FeishuClient(app_id=FEISHU_APP_ID, app_secret=FEISHU_APP_SECRET)
    
    try:
        def get_replies():
            msg_list_res = client.get_message_list(chat_id=chat_id)
            if not msg_list_res or "items" not in msg_list_res:
                return []

            openai_blocks = []
            # 遍历消息列表 (最新的在前)
            for msg in msg_list_res["items"]:
                if msg.get("sender_type") == "app":
                    # 碰到机器人的消息即停止
                    break
                
                content_blocks = _convert_feishu_msg_to_openai_content(client, msg)
                openai_blocks.extend(content_blocks)

            # 反转列表以保持时间正序 (旧 -> 新)
            openai_blocks.reverse()
            return openai_blocks

        openai_blocks = get_replies()
        
        # 如果初始没有获取到回复，且设置了等待时间，则开始轮询
        if not openai_blocks and wait_time_seconds and wait_time_seconds > 0:
            for _ in range(int(wait_time_seconds)):
                await asyncio.sleep(1)
                openai_blocks = get_replies()
                if openai_blocks:
                    break

        return ToolResult(
            title=f"获取 {contact_name} 回复成功",
            output=json.dumps(openai_blocks, ensure_ascii=False, indent=2) if openai_blocks else "目前没有新的用户回复",
            metadata={"replies": openai_blocks}
        )
    except Exception as e:
        return ToolResult(title="获取回复异常", output=str(e), error=str(e))

def _convert_feishu_msg_to_openai_content(client: FeishuClient, msg: Dict[str, Any]) -> List[Dict[str, Any]]:
    """将单条飞书消息内容转换为 OpenAI 多模态格式块列表"""
    blocks = []
    msg_type = msg.get("content_type")
    raw_content = msg.get("content", "")
    message_id = msg.get("message_id")

    if msg_type == "text":
        blocks.append({"type": "text", "text": raw_content})
    elif msg_type == "image":
        try:
            content_dict = json.loads(raw_content)
            image_key = content_dict.get("image_key")
            if image_key and message_id:
                img_bytes = client.download_message_resource(
                    message_id=message_id,
                    file_key=image_key,
                    resource_type="image"
                )
                b64_str = base64.b64encode(img_bytes).decode('utf-8')
                blocks.append({
                    "type": "image_url",
                    "image_url": {"url": f"data:image/png;base64,{b64_str}"}
                })
        except Exception as e:
            print(f"转换图片消息失败: {e}")
            blocks.append({"type": "text", "text": "[图片内容获取失败]"})
    elif msg_type == "post":
        blocks.append({"type": "text", "text": raw_content})
    else:
        blocks.append({"type": "text", "text": f"[{msg_type} 消息]: {raw_content}"})
    
    return blocks

@tool(
    display={
        "zh": {
            "name": "获取飞书聊天历史记录",
            "params": {
                "contact_name": "联系人名称",
                "start_time": "起始时间戳 (秒)，可选",
                "end_time": "结束时间戳 (秒)，可选",
                "page_size": "分页大小，默认 20",
                "page_token": "分页令牌，用于加载下一页，可选"
            }
        },
        "en": {
            "name": "Get Feishu Chat History",
            "params": {
                "contact_name": "Contact Name",
                "start_time": "Start timestamp (seconds), optional",
                "end_time": "End timestamp (seconds), optional",
                "page_size": "Page size, default 20",
                "page_token": "Page token for next page, optional"
            }
        }
    }
)
async def feishu_get_chat_history(
    contact_name: str,
    start_time: Optional[int] = None,
    end_time: Optional[int] = None,
    page_size: int = 20,
    page_token: Optional[str] = None,
    context: Optional[ToolContext] = None
) -> ToolResult:
    """
    根据联系人名称获取完整的历史聊天记录。
    支持通过时间戳进行范围筛选，并支持分页获取。
    返回的消息按时间倒序排列（最新的在前面）。

    Args:
        contact_name: 飞书联系人的名称
        start_time: 筛选起始时间的时间戳（秒），可选
        end_time: 筛选结束时间的时间戳（秒），可选
        page_size: 每页消息数量，默认为 20
        page_token: 分页令牌，用于加载上一页/下一页，可选
        context: 工具执行上下文（可选）
    """
    contact = get_contact_full_info(contact_name)
    if not contact:
        return ToolResult(title="获取历史失败", output=f"未找到联系人: {contact_name}", error="Contact not found")

    chat_id = contact.get("chat_id")
    if not chat_id:
        return ToolResult(title="获取历史失败", output=f"联系人 {contact_name} 尚未建立会话 (无 chat_id)", error="No chat_id")

    client = FeishuClient(app_id=FEISHU_APP_ID, app_secret=FEISHU_APP_SECRET)

    try:
        res = client.get_message_list(
            chat_id=chat_id,
            start_time=start_time,
            end_time=end_time,
            page_size=page_size,
            page_token=page_token
        )

        if not res or "items" not in res:
            return ToolResult(title="获取历史失败", output="请求接口失败或返回为空")

        # 将所有消息转换为 OpenAI 多模态格式
        formatted_messages = []
        for msg in res["items"]:
            formatted_messages.append({
                "message_id": msg.get("message_id"),
                "sender_id": msg.get("sender_id"),
                "sender_type": "assistant" if msg.get("sender_type") == "app" else "user",
                "create_time": msg.get("create_time"),
                "content": _convert_feishu_msg_to_openai_content(client, msg)
            })

        result_data = {
            "messages": formatted_messages,
            "page_token": res.get("page_token"),
            "has_more": res.get("has_more")
        }

        return ToolResult(
            title=f"获取 {contact_name} 历史记录成功",
            output=json.dumps(result_data, ensure_ascii=False, indent=2),
            metadata=result_data
        )
    except Exception as e:
        return ToolResult(title="获取历史异常", output=str(e), error=str(e))