from __future__ import annotations import random from typing import Any def classify_short_customer_text(text: str) -> str: """ 短句分类器（状态机前置）： - finish_signal: 发图完成，可报价 - progress_query: 追问进度/结果 - ack: 简短确认 - unknown: 未识别 """ s = (text or "").strip() if not s: return "unknown" if len(s) > 8: return "unknown" finish_kw = ( "没了", "没有了", "就这", "就这张", "就这一张", "就这一个", "就一个", "先这些", "就这些", "发完了", "都发完了", ) if any(k in s for k in finish_kw): return "finish_signal" progress_kw = ( "有吗", "有没", "有没有", "找到了吗", "找到了没", "没找到吗", "找到没", "找到没有", "进度", "结果", "多久好", "什么时候好", "好了没", "弄好了吗", "做了没", "高清", "发我", "重新发", "你重新发给我", ) if any(k in s for k in progress_kw) or s in {"?", "？", "在吗", "人呢"}: return "progress_query" ack_kw = ("嗯", "嗯嗯", "好", "好的", "行", "可以", "ok", "OK", "收到", "明白") if s in ack_kw: return "ack" return "unknown" def is_batch_finish_signal(text: str) -> bool: """客户是否表达“图发完了，可以统一报价”""" if not text: return False if classify_short_customer_text(text) == "finish_signal": return True finish_keywords = [ "发完了", "都发完了", "发齐了", "齐了", "先这些", "就这些", "全部", "一起报", "统一报价", "总共多少钱", "一共多少钱", "打包价", "总价", "报价吧", "报个总价", "给个总价", "没了", "没有了", "没图了", "就这", "就这张", "就这一张", "就这一个", "就一个", "先报吧", "报下价", "报个价", "可以报价了", "能报吗", ] return any(k in text for k in finish_keywords) def is_cross_image_composite_intent(text: str) -> bool: """ 识别多图跨图修改意图（A图元素放到B图）。 例：A图的图案转到B图、这个图案放到另一张上。 """ s = (text or "").strip() if not s: return False pair_marks = ("a图", "b图", "第一张", "第二张", "这张", "那张", "上一张", "另一张") op_kw = ( "转到", "换到", "放到", "贴到", "移到", "套到", "合成", "融合", "替换到", "图案上去", "字放到", "元素放到", "logo放到", ) return any(k in s.lower() for k in pair_marks) and any(k in s for k in op_kw) def is_batch_finish_intent(text: str, state: Any, has_incoming_urls: bool) -> bool: """ 语义结束识别： - 显式口令：发完了/统一报价 - 隐式意图：询价/砍价 - 单图需求明确：如“这个门头上面的字做一下”可直接进入报价 """ if not text: return False if is_batch_finish_signal(text): return True if has_incoming_urls: return False if not (getattr(state, "pending_image_urls", None) or []): return False try: from utils.intent_analyzer import detect_intent intent = detect_intent(text).intent except Exception: intent = "" if intent in ("询价", "砍价"): return True msg = (text or "").strip() if not msg: return False single_image_action_kw = ( "做一下", "改一下", "处理一下", "就这张", "按这个做", "照这个做", "这个门头", "上面的字", "这个字", "这个图做", "能做吗", ) multi_image_finish_kw = ( "就这些", "就这几张", "按这几张", "这几张一起做", "一起做一下", "先按这些", "先按这几张", "直接报价", "现在报价", "看下报价", "先报个总价", "总价多少", "一起多少钱", "先做这几张", ) hold_kw = ("还有", "再发", "先等", "稍后", "等会", "回头") image_count = len(getattr(state, "pending_image_urls", []) or []) if image_count == 1: if any(k in msg for k in single_image_action_kw) and not any(k in msg for k in hold_kw): return True elif image_count >= 2: if any(k in msg for k in multi_image_finish_kw) and not any(k in msg for k in hold_kw): return True if is_cross_image_composite_intent(msg) and not any(k in msg for k in hold_kw): return True return False def is_related_image_followup_intent(text: str) -> bool: """识别“新发的是上一张的截图/局部细节”的关联意图。""" s = (text or "").strip().lower() if not s: return False relation_kw = ( "截图", "截屏", "局部", "细节", "放大", "裁剪", "同一张", "同一幅", "上一张", "上张", "前一张", "前面那张", "刚才那张", "这个是上面", "这个是那张", "补一张细节", "补个截图", ) return any(k in s for k in relation_kw) def is_result_followup_query(text: str) -> bool: """识别客户在找图流程中的结果/进度追问。""" if classify_short_customer_text(text) == "progress_query": return True s = (text or "").strip() if not s: return False followup_kw = ( "找到了吗", "没找到吗", "找到没", "找到没有", "找到了没", "有吗", "有没", "有没有", "有结果吗", "结果呢", "进度", "多久好", "什么时候好", "好了没", "弄好了吗", "做了没", "你重新发", "重新发给我", "高清", "发我", ) if any(k in s for k in followup_kw): return True return s in {"?", "？", "在吗", "人呢"} def build_collect_ack(count: int, related_followup: bool = False) -> str: if related_followup and count >= 2: related_templates = [ "这张我收到了，看起来是上一张的截图/细节图，我按同一单一起处理。还有补充就继续发。", "收到，这张是关联补图我记上了（按同一需求处理）。你还有图就继续发。", "明白，这张是前图的局部截图，我会和前面那张一起算，不会分开漏掉。", ] return random.choice(related_templates) if count <= 1: one_templates = [ "这张收到啦，还有图就继续发，我一起给你看。", "图我看到了，后面还有就接着发，最后我一口价给你。", "收到这张了，你有其他图也发来，我统一帮你算。", "这张我先记上了，你那边还有的话接着发，我一起给你报。", "第1张收到，你继续发就行，发完我这边一次给你算清楚。", "这张没问题，我先收着。要是还有图，你直接连着发我就行。", "我先看到了这张，你后面还有就一起发来，我统一给你报价。", "这张图我已经记下了，后面有补充就继续甩过来哈。", ] return random.choice(one_templates) templates = [ "这几张我都收到了（现在{n}张）。还有的话继续发，我一起给你报。", "好嘞，先看到{n}张了。你可以继续发，或者直接说“就这些”我现在就报价。", "收到哈（共{n}张）。你还要补图就继续发，不补的话我现在也可以直接给价。", "我这边先收到了{n}张。你继续补图，或者直接说“按这些算”我就开始报。", "这波我已经记了{n}张，你要是还有就接着发，不补的话我立刻给总价。", "先看到{n}张图了，后面你看是继续发，还是直接让我现在报价都可以。", "好的，目前{n}张到位。你一句“就这些”，我马上给你打包价。", "图我都看到了（{n}张）。你还发我就继续收，不发我现在就给你报。", ] return random.choice(templates).format(n=count) def build_collect_progress_reply(count: int) -> str: if count <= 1: templates = [ "我这边在处理了，这张有结果我第一时间回你。", "在跟进中，这张一有进展我马上发你。", "这张我正在看，稍等我一会儿，结果出来就回你。", ] return random.choice(templates) templates = [ "我这边在按你这{n}张一起处理，有结果我立刻同步你。", "正在跟进这{n}张，出结果我第一时间发你，不会漏。", "进度在跑了（共{n}张），你稍等一下，我这边有结果马上回。", ] return random.choice(templates).format(n=count) def build_collect_remind(count: int) -> str: if count <= 1: one_templates = [ "这个要求我记住了。你还有图就继续发，不补图我就按这张给你报价。", "明白，这个需求我加上了。你继续发图也行，想直接报价也可以。", "我先记下这张。你如果是要我找图，不是做图，直接说一声，我按找图思路给你走。", "收到，这张我先按你的要求记好了。就做这一张的话，我现在直接给你报实价。", "你这要求我记下了，后面还有图就发，没有的话我现在直接算价。", "行，我按你这个要求来。继续补图也行，不补我就先报这张。", "这个点我懂了，你还要补图就接着发，不补我立刻给你报价。", "要求我已经加上了。你看是继续发，还是我现在直接报这张。", ] return random.choice(one_templates) templates = [ "需求我记下了（当前{n}张）。你继续补图，或者直接说“就这些”我现在报价。", "好，这个要求也加上了（现在{n}张）。不再补图的话我立刻给你打包价。", "收到（共{n}张）。你还发就继续，不发的话我现在就给总价。", "这个需求我加进去了（现在{n}张）。你继续发也行，直接报价也行。", "我这边都记好了（{n}张+需求）。你一句“先按这些算”，我马上报价。", "要求同步好了，目前{n}张。要补图继续发，不补图我现在就给你打包价。", "行，需求和图片我都收着了（{n}张）。你直接让我报价也可以。", "好的，这条需求也算进去了（共{n}张）。你看要不要我现在直接报。", ] return random.choice(templates).format(n=count) def is_find_image_not_edit_conflict(text: str) -> bool: """识别客户明确声明“要找图，不是做图”的冲突语义。""" s = (text or "").strip() if not s: return False find_kw = ("找图", "找原图", "找素材", "找同款") deny_edit_kw = ("不是让你做图", "不是做图", "不用做图", "不需要做图", "不是修图", "不用修图") return any(k in s for k in find_kw) and any(k in s for k in deny_edit_kw) def needs_clarification_in_collecting(text: str) -> bool: """信息不足时先追问，不急着报价。""" s = (text or "").strip() if not s: return False short_non_vague_kw = ( "？", "?", "没了", "没有了", "就这", "行", "好的", "ok", "报价", "找到了吗", "没找到吗", "找到没", "找到了没", "有吗", "有没", "有没有", "多久好", "什么时候好", "高清", ) if len(s) <= 4: if any(k in s for k in short_non_vague_kw): return False return True vague_kw = ( "这个也是", "一共几个图", "几个图", "啥意思", "没明白", "什么意思", "这个呢", "这个可以吗", "然后呢", "咋办", "怎么搞", ) return any(k in s for k in vague_kw) def build_find_image_clarify_reply(state: Any) -> str: count = len(getattr(state, "pending_image_urls", []) or []) return ( f"明白，你是要我帮你找图，不是做图。现在我这边先记了{count}张，" "你告诉我具体要找哪种：原图/同款/高清版，我按这个方向给你找。" ) def build_not_understood_reply() -> str: """信息不足时的澄清话术（随机）。""" templates = [ "不好意思，不太懂你的意思，你再具体说下哈。", "抱歉我这边没完全理解，你可以换个说法再说一次吗？", "我有点没听明白，你是要找图还是要做图呀？", "不好意思我没抓到重点，你再补一句我就能接着处理。", "这句我理解得不太准，你再说具体一点我马上给你办。", "抱歉，这里我没太看懂。你是想让我找原图，还是按图处理？", "我这边还没完全明白你的意思，麻烦你再具体描述一下。", "不好意思，这条我没读懂，你再详细说一点我马上跟上。", ] return random.choice(templates) def append_requirement(state: Any, text: str) -> None: """追加需求并做去重/截断，减少上下文噪音。""" t = (text or "").strip() if not t: return t = t[:120] existing = list(getattr(state, "pending_requirements", []) or []) if existing and existing[-1] == t: return if t in existing[-5:]: return existing.append(t) if len(existing) > 20: existing = existing[-20:] state.pending_requirements = existing