feat: AI reply suggestions show as copyable code block, user edits before sending - Click suggestion -> show text in backtick code block (tap to copy) - Enter awaiting_reply state so user can edit/send like normal reply - No direct email sending on selection anymore - Tests: 3/3 passing

src/ai_client.py

@@ -86,7 +86,9 @@ def expand_promo_detail(ai_cfg: AIConfig, sender: str, subject: str, body: str)
     return result.get("details", [])
 
 
-MORE_REPLIES_PROMPT = """你是一个邮件回复助手。根据以下邮件内容生成3个完全不同的建议回复。
+MORE_REPLIES_PROMPT_SHORT = """你是一个邮件回复助手。根据以下邮件内容生成3个完全不同的简洁回复。
+
+简洁模式：直接说要点，不需要称呼、落款、邮件格式。像微信/短信一样简短。
 
 以下是一些已经生成过的回复，请生成全新的回复，不要与已有回复重复。
 
@@ -101,22 +103,41 @@ MORE_REPLIES_PROMPT = """你是一个邮件回复助手。根据以下邮件内
 每条回复控制在 50 字以内。
 只返回 JSON，不要包含任何其他文字。"""
 
+MORE_REPLIES_PROMPT_FULL = """你是一个邮件回复助手。根据以下邮件内容生成3个不同的正式邮件回复。
+
+完整模式：生成完整的邮件格式，包括称呼、正文、落款。语气正式专业，适合商务邮件。
+
+以下是一些已经生成过的回复，请生成全新的回复，不要与已有回复重复。
+
+返回 JSON:
+{
+  "suggestions": [
+    {"text": "回复内容"},
+    {"text": "回复内容"},
+    {"text": "回复内容"}
+  ]
+}
+每条回复控制在 300 字以内。
+只返回 JSON，不要包含任何其他文字。"""
+
 
 @retry()
 def generate_more_replies(ai_cfg: AIConfig, sender: str, subject: str, body: str,
-                          previous_suggestions: list[dict], user_hint: str = "") -> list[dict]:
-    logger.info("AI 换批请求: sender=%s subject=%s user_hint=%s prev=%d 条",
-                sender, subject, user_hint or "(无)", len(previous_suggestions))
+                          previous_suggestions: list[dict], user_hint: str = "",
+                          style: str = "short") -> list[dict]:
+    logger.info("AI 换批请求: sender=%s subject=%s user_hint=%s prev=%d 条 style=%s",
+                sender, subject, user_hint or "(无)", len(previous_suggestions), style)
     content = f"发件人: {sender}\n主题: {subject}\n正文:\n{body}\n\n已生成过的回复:\n"
     for i, s in enumerate(previous_suggestions, 1):
         content += f"{i}. {s['text']}\n"
     if user_hint:
         content += f"\n用户要求: {user_hint}"
 
+    prompt = MORE_REPLIES_PROMPT_FULL if style == "full" else MORE_REPLIES_PROMPT_SHORT
     payload = {
         "model": ai_cfg.model,
         "messages": [
-            {"role": "system", "content": MORE_REPLIES_PROMPT},
+            {"role": "system", "content": prompt},
             {"role": "user", "content": content},
         ],
         "response_format": {"type": "json_object"},

src/tg_bot.py

@@ -169,7 +169,8 @@ def _escape(text: str) -> str:
 CALLBACK_VIEW_ORIG = "v"
 CALLBACK_VIEW_SUMM = "s"
 CALLBACK_REPLY = "r"
-CALLBACK_AI_REPLY = "a"
+CALLBACK_AI_REPLY_FULL = "af"
+CALLBACK_AI_REPLY_SHORT = "as"
 CALLBACK_SELECT_REPLY = "sr"
 CALLBACK_REGEN = "rg"
 CALLBACK_HINT = "h"
@@ -190,7 +191,10 @@ def _summary_keyboard(can_reply: bool = True, is_promotion: bool = False, links:
         ],
     ]
     if can_reply:
-        kb.append([{"text": "AI回复", "callback_data": CALLBACK_AI_REPLY}])
+        kb.append([
+            {"text": "AI完整回复", "callback_data": CALLBACK_AI_REPLY_FULL},
+            {"text": "AI简洁回复", "callback_data": CALLBACK_AI_REPLY_SHORT},
+        ])
     for link in (links or []):
         url = link.get("url", "")
         text = link.get("text", "打开链接")[:30]
@@ -208,7 +212,10 @@ def _orig_keyboard(can_reply: bool = True) -> dict:
         ],
     ]
     if can_reply:
-        kb.append([{"text": "AI回复", "callback_data": CALLBACK_AI_REPLY}])
+        kb.append([
+            {"text": "AI完整回复", "callback_data": CALLBACK_AI_REPLY_FULL},
+            {"text": "AI简洁回复", "callback_data": CALLBACK_AI_REPLY_SHORT},
+        ])
     return {"inline_keyboard": kb}
 
 
@@ -252,10 +259,11 @@ def _tg_req(tg_cfg: TelegramConfig, method: str, payload: dict) -> dict:
 
 def _do_regen(cfg: Config, chat_id: int, msg_id: int, ctx: dict, conv: dict):
     """在 AI 线程池中执行换一批，不阻塞按钮轮询"""
+    style = conv.get("reply_style", "short")
     try:
         new_suggestions = generate_more_replies(
             cfg.ai, ctx["sender"], ctx["subject"], ctx["original_body"],
-            conv.get("all_suggestions", []),
+            conv.get("all_suggestions", []), style=style,
         )
     except Exception as e:
         send_text(cfg.telegram, str(chat_id), f"生成失败: {e}")
@@ -264,16 +272,17 @@ def _do_regen(cfg: Config, chat_id: int, msg_id: int, ctx: dict, conv: dict):
         conv["ai_suggestions"] = new_suggestions
         conv["all_suggestions"].extend(new_suggestions)
         save_conversation(chat_id, conv)
-        logger.info("[ai_regen] 新生成 %d 条回复", len(new_suggestions))
+        logger.info("[ai_regen] 新生成 %d 条回复 (style=%s)", len(new_suggestions), style)
         _show_ai_suggestions(cfg.telegram, chat_id, msg_id, new_suggestions)
 
 
 def _do_ai_hint(cfg: Config, chat_id: int, conv: dict, ctx: dict, hint: str):
     """在 AI 线程池中根据用户提示生成回复"""
+    style = conv.get("reply_style", "short")
     try:
         new_suggestions = generate_more_replies(
             cfg.ai, ctx["sender"], ctx["subject"], ctx["original_body"],
-            conv.get("all_suggestions", []), user_hint=hint,
+            conv.get("all_suggestions", []), user_hint=hint, style=style,
         )
     except Exception as e:
         send_text(cfg.telegram, str(chat_id), f"生成失败: {e}")
@@ -326,10 +335,12 @@ def _handle_callback(tg_cfg: TelegramConfig, cfg: Config, cb: dict):
 
     elif action == CALLBACK_VIEW_SUMM and ctx:
         can_reply = ctx.get("can_reply", True)
+        is_promotion = ctx.get("summary_data", {}).get("category") == "promotion"
+        links = ctx.get("summary_data", {}).get("links", [])
         _tg_req(tg_cfg, "editMessageText", {
             "chat_id": chat_id, "message_id": msg_id,
             "text": ctx["summary_text"], "parse_mode": "MarkdownV2",
-            "reply_markup": _summary_keyboard(can_reply),
+            "reply_markup": _summary_keyboard(can_reply, is_promotion, links),
         })
         logger.info("  切换回摘要视图")
 
@@ -344,8 +355,9 @@ def _handle_callback(tg_cfg: TelegramConfig, cfg: Config, cb: dict):
         })
         logger.info("  进入回复流程, prompt_msg_id=%d", prompt_msg_id)
 
-    elif action == CALLBACK_AI_REPLY and ctx:
+    elif action in (CALLBACK_AI_REPLY_FULL, CALLBACK_AI_REPLY_SHORT) and ctx:
         suggestions = ctx["summary_data"].get("reply_suggestions", [])
+        style = "full" if action == CALLBACK_AI_REPLY_FULL else "short"
         if not suggestions:
             send_text(tg_cfg, str(chat_id), "此邮件无需回复。")
             logger.info("  AI 判定无需回复，隐藏")
@@ -356,8 +368,9 @@ def _handle_callback(tg_cfg: TelegramConfig, cfg: Config, cb: dict):
             "summary_msg_id": msg_id,
             "ai_suggestions": suggestions,
             "all_suggestions": list(suggestions),
+            "reply_style": style,
         })
-        logger.info("  显示 AI 回复建议 (%d 条)", len(suggestions))
+        logger.info("  显示 AI 回复建议 (%d 条, style=%s)", len(suggestions), style)
         _show_ai_suggestions(tg_cfg, chat_id, msg_id, suggestions)
 
     elif action == CALLBACK_SELECT_REPLY and ctx:
@@ -369,16 +382,26 @@ def _handle_callback(tg_cfg: TelegramConfig, cfg: Config, cb: dict):
         if idx >= len(suggestions):
             return
         sel = suggestions[idx]
-        logger.info("  选择回复 #%d: %s", idx, sel["text"][:60])
-        _do_send_reply(tg_cfg, cfg, chat_id, msg_id, ctx, sel["text"])
-        send_text(tg_cfg, str(chat_id), f"✅ 已发送: {sel['text']}")
-        delete_conversation(chat_id)
-        can_reply = ctx.get("can_reply", True)
-        _tg_req(tg_cfg, "editMessageText", {
-            "chat_id": chat_id, "message_id": msg_id,
-            "text": ctx["summary_text"], "parse_mode": "MarkdownV2",
-            "reply_markup": _summary_keyboard(can_reply),
-        })
+        sel_text = sel["text"]
+        logger.info("  选择回复 #%d: %s", idx, sel_text[:60])
+
+        # 用代码块显示，点击可复制
+        escaped = sel_text.replace("\\", "\\\\").replace("`", "\\`")
+        copy_msg = send_text(tg_cfg, str(chat_id),
+                             f"*建议回复（点击代码块复制）:*\n`{escaped}`")
+
+        # 进入 awaiting_reply 状态，用户可编辑后发送
+        prompt_msg_id = send_text(
+            tg_cfg, str(chat_id),
+            "请编辑后发送（或直接回复附件）：",
+            reply_markup=_cancel_keyboard(),
+        )
+        conv["state"] = "awaiting_reply"
+        conv["summary_msg_id"] = msg_id
+        conv["prompt_msg_id"] = prompt_msg_id
+        conv["draft_text"] = sel_text
+        save_conversation(chat_id, conv)
+        logger.info("  建议已展示，等待用户编辑发送")
 
     elif action == CALLBACK_REGEN and ctx:
         conv = load_conversation(chat_id)