feat(bot,wizard): smart message filtering, encrypted standalone wizard, and file persistence
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@@ -14,6 +14,7 @@ from app import drafts as draft_store
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from app.config import settings
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from app.nlu import understand
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from app.runtime import BotContext, LinkedUser
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from app.storage import save_proforma_file
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from app.stt import transcribe, transcribe_multi
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from app.texts import CANCELLED, LINK_START, NOTHING_TO_COMMIT, STT_FAILED, UNKNOWN_HINT, VOICE_EMPTY, esc
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@@ -38,35 +39,15 @@ async def handle_update(ctx: BotContext, update: dict) -> None:
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async def handle_message(ctx: BotContext, chat_id: int, message: dict) -> None:
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text = (message.get("text") or "").strip()
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text = (message.get("text") or message.get("caption") or "").strip()
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source = "text"
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voice_transcripts: list[dict] | None = None
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message_id = message.get("message_id")
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if text.startswith("/"):
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await commands.handle_command(ctx, chat_id, text)
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return
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if not text and (message.get("voice") or message.get("audio") or message.get("document")):
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source = "voice"
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await ctx.bale.send_chat_action(chat_id, "typing")
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file_id = (message.get("voice") or message.get("audio") or message.get("document"))["file_id"]
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try:
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audio = await ctx.bale.download_file(file_id)
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voice_transcripts = await transcribe_multi(
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settings,
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audio,
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mime_type=(message.get("voice") or {}).get("mime_type"),
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filename=(message.get("voice") or {}).get("file_name"),
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)
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except Exception as exc:
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detail = "هوش مصنوعی تنظیم نشده" if "not configured" in str(exc) else str(exc)[:200]
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await ctx.send(chat_id, STT_FAILED.format(detail=esc(detail)))
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return
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if not voice_transcripts:
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await ctx.send(chat_id, VOICE_EMPTY)
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return
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text = voice_transcripts[0]["text"]
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# Pending multi-step interactions take the message first.
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flow = ctx.pending.get(chat_id)
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if flow:
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@@ -79,11 +60,43 @@ async def handle_message(ctx: BotContext, chat_id: int, message: dict) -> None:
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if user is None:
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return # gate either started linking or is mid-linking
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message_id = message.get("message_id")
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reply_to = message.get("reply_to_message")
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reply_to_msg_id = reply_to.get("message_id") if reply_to else None
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target_draft = None
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def _is_audio(msg: dict) -> bool:
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if msg.get("voice") or msg.get("audio"):
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return True
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doc = msg.get("document")
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if doc and (doc.get("mime_type") or "").lower().startswith("audio/"):
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return True
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return False
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async def _extract_voice() -> list[dict] | None:
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nonlocal source
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source = "voice"
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await ctx.bale.send_chat_action(chat_id, "typing")
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audio_media = message.get("voice") or message.get("audio") or message.get("document")
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file_id = audio_media["file_id"]
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try:
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audio_bytes = await ctx.bale.download_file(file_id)
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transcripts = await transcribe_multi(
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settings,
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audio_bytes,
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mime_type=audio_media.get("mime_type"),
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filename=audio_media.get("file_name"),
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)
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except Exception as exc:
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detail = "هوش مصنوعی تنظیم نشده" if "not configured" in str(exc) else str(exc)[:200]
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await ctx.send(chat_id, STT_FAILED.format(detail=esc(detail)), reply_to=message_id)
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return None
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if not transcripts:
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await ctx.send(chat_id, VOICE_EMPTY, reply_to=message_id)
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return None
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return transcripts
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# =========================================================================
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# BRANCH 1: EDIT MODE — Strictly requires reply_to_message_id on a draft
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# =========================================================================
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if reply_to_msg_id is not None:
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target_draft = await draft_store.get_by_message_id(chat_id, reply_to_msg_id)
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if target_draft is None:
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@@ -94,6 +107,92 @@ async def handle_message(ctx: BotContext, chat_id: int, message: dict) -> None:
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)
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return
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# Check for proforma attachment (document or photo)
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proforma_attached = False
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saved_meta = None
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doc = message.get("document")
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photos = message.get("photo")
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if doc and not (doc.get("mime_type") or "").lower().startswith("audio/"):
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doc_file_id = doc["file_id"]
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doc_file_name = doc.get("file_name") or f"proforma_{message_id}.pdf"
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doc_mime = doc.get("mime_type") or "application/pdf"
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elif photos:
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largest = photos[-1] if isinstance(photos, list) else photos
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doc_file_id = largest["file_id"]
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doc_file_name = f"proforma_{message_id}.jpg"
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doc_mime = "image/jpeg"
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else:
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doc_file_id = None
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doc_file_name = None
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doc_mime = None
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if doc_file_id:
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await ctx.bale.send_chat_action(chat_id, "upload_document")
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try:
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content = await ctx.bale.download_file(doc_file_id)
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saved_meta = await save_proforma_file(
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target_draft.id,
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doc_file_name,
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content,
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mime_type=doc_mime,
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storage_dir=settings.ATTACHMENTS_DIR,
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)
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payload = dict(target_draft.payload or {})
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payload["proforma_file"] = saved_meta["file_name"]
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payload["proforma"] = saved_meta
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target_draft.payload = payload
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await draft_store.save_payload(target_draft, mark_bale_synced=True)
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proforma_attached = True
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except Exception as exc:
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logger.exception("Failed to persist proforma")
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await ctx.send(chat_id, f"❌ خطا در ذخیره فایل پیشفاکتور: {esc(str(exc)[:100])}", reply_to=message_id)
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return
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if _is_audio(message):
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voice_transcripts = await _extract_voice()
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if not voice_transcripts:
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return
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text = voice_transcripts[0]["text"]
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if proforma_attached and not text and not voice_transcripts:
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await quote.render(ctx, chat_id, target_draft, fresh=False)
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await ctx.send(
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chat_id,
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f"📎 پیشفاکتور «{saved_meta['file_name']}» با موفقیت ذخیره و به استعلام ضمیمه شد ✅",
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reply_to=message_id,
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)
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return
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if not proforma_attached and not text and not voice_transcripts:
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await ctx.send(
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chat_id,
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"⚠️ برای ویرایش پیشنویس، لطفاً تغییرات را به صورت متن یا پیام صوتی (ویس) ارسال کنید، یا فایل پیشفاکتور را بفرستید.",
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reply_to=message_id,
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)
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return
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# =========================================================================
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# BRANCH 2: NEW QUOTE MODE — Messages without reply
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# =========================================================================
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else:
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target_draft = None
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if _is_audio(message):
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voice_transcripts = await _extract_voice()
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if not voice_transcripts:
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return
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text = voice_transcripts[0]["text"]
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elif text:
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source = "text"
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else:
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await ctx.send(
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chat_id,
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"⚠️ برای ثبت استعلام خرید جدید، لطفاً اقلام و مشخصات را به صورت پیام متنی یا پیام صوتی (ویس) ارسال فرمایید.",
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reply_to=message_id,
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)
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return
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draft_summary = _draft_summary(target_draft) if target_draft else None
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input_payload = voice_transcripts if voice_transcripts else text
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result = await understand(settings, input_payload, draft_summary)
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