import json

from django.test import SimpleTestCase

from apps.ai.script_agent import normalize_draft


class NormalizeDraftTests(SimpleTestCase):
    """normalize_draft 对模型不按契约输出的容错(防「旁白/画面全空」回归)。"""

    def test_scriptdraft_shots_variant_fills_narration_and_visual(self):
        """模型常见变体:{"ScriptDraft":{"basicInfo":..,"shots":[{scene,dialogue,subtitle}]}}。
        必须解开外壳 + 把 shots→segments、scene→画面、dialogue/subtitle→旁白,而非全填空占位镜。"""
        raw = json.dumps({
            "ScriptDraft": {
                "basicInfo": {"totalDuration": 60, "aspectRatio": "9:16", "totalShots": 4},
                "shots": [
                    {"shotNo": 1, "duration": 15, "scene": "更衣室扯卡裆旧裤", "dialogue": "卡裆太社死！", "subtitle": "还在卡裆？"},
                    {"shotNo": 2, "duration": 15, "scene": "特写拉扯面料回弹", "dialogue": "高弹不变形！", "subtitle": "裸感面料"},
                    {"shotNo": 3, "duration": 15, "scene": "健身切通勤", "dialogue": "都能穿！", "subtitle": "一裤多穿"},
                    {"shotNo": 4, "duration": 15, "scene": "对镜弹小黄车", "dialogue": "点小黄车抢！", "subtitle": "点击入手"},
                ],
            }
        }, ensure_ascii=False)
        draft = normalize_draft(raw, aspect_ratio="9:16", total_duration=60)
        self.assertEqual(len(draft["segments"]), 4)
        self.assertEqual([s["role"] for s in draft["segments"]], ["钩子", "痛点", "卖点", "CTA"])
        for seg in draft["segments"]:
            self.assertTrue(seg["narration"], "旁白不应为空")
            self.assertTrue(seg["visual"], "画面不应为空")
        self.assertEqual(draft["segments"][0]["narration"], "卡裆太社死！")
        self.assertEqual(draft["segments"][0]["visual"], "更衣室扯卡裆旧裤")

    def test_lines_and_caption_variant_fills_narration(self):
        """另一种变体(Doubao-Seed-2.0-P):shots 用 lines:[{role,content}] 放口播、caption 放字幕。
        必须把 lines 的 content 当对白/旁白,caption 兜底,而不是只填画面留旁白空。"""
        raw = json.dumps({
            "ScriptDraft": {
                "basicInfo": {"totalDuration": 30, "aspectRatio": "9:16"},
                "shots": [
                    {"shotNo": 1, "scene": "化妆台两闺蜜", "lines": [{"role": "女主", "content": "防晒泛白太尴尬！"}, {"role": "闺蜜", "content": "试试这个！"}], "caption": "防晒踩雷？"},
                    {"shotNo": 2, "scene": "手背挤膏体", "lines": [{"role": "闺蜜", "content": "质地清透不泛白"}], "caption": "清透质地"},
                ],
            }
        }, ensure_ascii=False)
        draft = normalize_draft(raw, aspect_ratio="9:16", total_duration=30)
        self.assertEqual(len(draft["segments"]), 2)
        for seg in draft["segments"]:
            self.assertTrue(seg["narration"], "旁白不应为空")
            self.assertTrue(seg["visual"], "画面不应为空")
        self.assertIn("防晒泛白太尴尬", draft["segments"][0]["narration"])
        self.assertEqual(len(draft["segments"][0]["dialogue"]), 2)  # lines→结构化对白

    def test_generic_resolver_covers_unseen_field_names(self):
        """模型每次换字段名(scene/screenDescription/画面…、dialogue/lines/caption…)。
        通用解析应「优先键 + 关键词模糊匹配」都能填,且跳过 bgMusic/note 等非内容键。"""
        variants = {
            "canonical": {"total_duration": 15, "segments": [{"role": "钩子", "narration": "口播A", "visual": "画面A"}]},
            "scene+dialogue_str+subtitle": {"total_duration": 15, "shots": [{"scene": "画面B", "dialogue": "口播B", "subtitle": "字幕B"}]},
            "scene+lines+caption": {"total_duration": 15, "shots": [{"scene": "画面C", "lines": [{"role": "女主", "content": "口播C"}], "caption": "字幕C"}]},
            "screenDescription+dialogue+bgMusic+note": {"total_duration": 15, "shots": [{"screenDescription": "画面D", "dialogue": "口播D", "bgMusic": "音乐D", "note": "备注D"}]},
        }
        for name, raw in variants.items():
            draft = normalize_draft(json.dumps(raw, ensure_ascii=False), aspect_ratio="9:16", total_duration=15)
            seg = draft["segments"][0]
            self.assertTrue(seg["narration"], f"{name}: 旁白为空")
            self.assertTrue(seg["visual"], f"{name}: 画面为空")
        # bgMusic/note 不得被误当画面/旁白
        d = normalize_draft(json.dumps(variants["screenDescription+dialogue+bgMusic+note"], ensure_ascii=False), aspect_ratio="9:16", total_duration=15)
        self.assertEqual(d["segments"][0]["visual"], "画面D")
        self.assertEqual(d["segments"][0]["narration"], "口播D")

    def test_string_dialogue_not_iterated_as_chars(self):
        """dialogue 为整句字符串时,要当作旁白而不是逐字符遍历。"""
        raw = json.dumps({
            "segments": [{"role": "钩子", "dialogue": "一句完整口播", "visual": "画面"}],
            "total_duration": 15,
        }, ensure_ascii=False)
        draft = normalize_draft(raw, aspect_ratio="9:16", total_duration=15)
        self.assertEqual(draft["segments"][0]["narration"], "一句完整口播")
        self.assertEqual(draft["segments"][0]["dialogue"], [])  # 字符串不进结构化对白

    def test_canonical_flat_schema_still_works(self):
        """契约内的扁平 schema(segments/narration/visual)不受兼容改动影响。"""
        raw = json.dumps({
            "total_duration": 30,
            "segments": [
                {"role": "钩子", "narration": "口播1", "visual": "画面1"},
                {"role": "CTA", "narration": "口播2", "visual": "画面2"},
            ],
        }, ensure_ascii=False)
        draft = normalize_draft(raw, aspect_ratio="9:16", total_duration=30)
        self.assertEqual(len(draft["segments"]), 2)
        self.assertEqual(draft["segments"][0]["narration"], "口播1")
        self.assertEqual(draft["segments"][1]["visual"], "画面2")