"""
修正能力标签 + 补充解析，回填 jsonData 和 题目1/题目2
"""
import json, subprocess, copy

APP_TOKEN = 'CMHSbUUjka3TrUsaxxEc297ongf'
SKILL = 'skills/lark_bitable_operate_as_bot/scripts/operate_bitable.sh'

# ===== Ability tag mappings =====
TAG_MAP = {
    '信息定位与提取': '扫读定位｜信息匹配',
    '信息定位': '扫读定位｜信息匹配',
    '细节理解': '细节理解｜事实信息提取',
    '因果推断': '推理判断｜原因/结果',
    '主旨归纳': '主旨理解｜段落/文本大意',
    '推理判断': '推理判断｜原因/结果',
}

# ===== Explanations per record (qset_index, question_index) =====
EXPLANATIONS = {
    # P4 032701 - reading_cloze: Selling Bracelets at School
    ('032701', 'first', 0): '空白处需要表示"赚钱"的名词。"get some cash"（挣点零花钱）是地道表达，cash（现金）最符合学生售卖手链的情境。cheque（支票）语义过正式，bracelet（手链）是销售的商品而非获取的目标。考查名词在语境中的最佳语义选择。',
    ('032701', 'first', 1): '修饰可数名词bracelets应用many（许多）。much修饰不可数名词，only（只有）在此处语义不流畅，不符合"带了一些手链去给朋友看"的语境。考查可数名词数量修饰词的语法规则。',
    ('032701', 'first', 2): '表语位置需形容词。"They were very popular"（它们很受欢迎）才是完整句子。cash和sell均非形容词，不能直接作表语。考查词性辨别和上下文语义连贯。',
    ('032701', 'first', 3): 'students是可数名词复数，需用many修饰表示"很多学生"。much用于不可数名词，only在"so many"结构后不合适。考查可数名词数量表达。',
    ('032701', 'first', 4): "bracelets是可数名词复数，需用many表示数量。didn't have many bracelets 表示手链不够多，与后文 promised to make more 呼应。考查上下文逻辑与可数名词修饰。",
    ('032701', 'first', 5): '空白处需动词作谓语。"She could sell a few"（她能卖出几条）中sell是唯一动词。cheque和popular均为非动词。考查句子主干成分（谓语动词）的语法识别。',

    # P4 032801 - reading_cloze: The Midnight Party in the Car Park
    ('032801', 'first', 0): '根据后文"a local band was playing music"和"it was very noisy"，可推断是一场"派对"。party最能描述这种热闹场景，car和sleep与乐队演奏、噪音等语境不符。考查名词的语境语义选择。',
    ('032801', 'first', 1): '"I tried to sleep, but the sound was too loud"——噪音太大导致睡不着，sleep是最合理的选择。drive（开车）和sing（唱歌）都偏离语境。考查动词的语义逻辑匹配。',
    ('032801', 'first', 2): '描述派对参与者身份，"adult people"（成年人）与午夜派对的情境相符，也为后文"decided to be more understanding"提供合理性。young语义对等但看答案选择，考查修饰词的语境判断。',
    ('032801', 'first', 3): '"The party went on until midnight"——派对持续到午夜是最符合逻辑的时间终点。morning和afternoon太早，不符合嘈杂派对的情境。考查时间名词的合理推断。',
    ('032801', 'first', 4): "前后分句存在转折关系：I was annoyed because I couldn't rest, but then I remembered...。but引导转折，because表示原因（前后因果不成立），so表示结果。考查连词的逻辑关系。",
    ('032801', 'first', 5): '此处需引导原因的连词。"because the band members cleaned up"解释为什么第二天心情好转。although表示让步（语义不通），until表示时间（不够自然）。考查原因连词的选择。',

    # P5 032901 first set - reading_openCloze: A Visit to the Wildlife Park
    ('032901', 'first', 0): '前后是因果关系：去野生动物园"是因为"想看小象。because引导原因状语从句最合适。but表示转折，so表示结果，均不符合语义。考查原因连词。',
    ('032901', 'first', 1): '"had just been born"是被动语态，表示"刚刚出生"。born是bear（出生）的过去分词，与"a few weeks ago"的时间状语呼应。grow up（长大）和top（顶端）语义不通。考查词义辨析与被动语态。',
    ('032901', 'first', 2): '"reach the top of a tall tree"——大象想够到高树的顶端。top表示顶部位置，与tall tree（高树）形成语义对应。bottom（底部）与reach矛盾，nose（鼻子）不是位置。考查方位词的选择。',
    ('032901', 'first', 3): '大象的"长鼻子"是标志性特征。nose是正确选项，banana和bottom明显不符。考查动物特征相关的核心词汇。',
    ('032901', 'first', 4): '"could only touch the bottom"——虽然用长鼻子去够，但只碰到了"底部"。bottom与top形成对比，体现够不到的落差感。考查反义词对（top↔bottom）的理解。',
    ('032901', 'first', 5): '小象吃黄色的"香蕉"是最自然的食物搭配。banana是常见动物投喂食物，elephant和nose均不符合"吃"的语义。考查动物食物相关词汇。',
    ('032901', 'first', 6): '"when I grow up"（等我长大）是固定表达。grow up表示成长、长大，born（出生）与when从句时态矛盾，bottom不相关。考查固定短语的掌握。',
    ('032901', 'first', 7): '根据上下文描述的美好回忆，bottom指"从心底"的比喻义。"from the bottom of my heart"是常见表达。top（顶部）与情感表达不相配，nose属于干扰项。考查固定搭配和比喻义。',

    # P5 032901 second set - reading_openCloze: A Special Gift
    ('032901', 'second', 0): '前后分句是因果关系：姐姐喜欢美丽的东西，"所以"总戴首饰。so引导结果，because引导原因（方向反了），but表示转折（不成立）。考查结果连词。',
    ('032901', 'second', 1): '"lost one of her favourite silver earrings"——在首饰语境中，银色的earrings（耳环）是最典型的可丢失物品。painting（画）和language（语言）与silver修饰和"wear"搭配都不符。考查语境词义推断。',
    ('032901', 'second', 2): "couldn't find it anywhere else——在否定句中else表示别的地方/其他任何地方，except含义不符，again重复逻辑不通。考查否定句中的词汇用法。",
    ('032901', 'second', 3): "I decided to make..., although I'm not very good——前后存在让步转折关系，虽然不擅长但还是决定做。although正确，because和so均表示因果。考查让步连词。",
    ('032901', 'second', 4): '"She showed me how to use small silver pieces"——朋友擅长的是首饰制作（jewellery），与silver pieces和earrings主题一致。painting（绘画）和language（语言）偏离主题。考查上下文主题关联。',
    ('032901', 'second', 5): '"I made a mistake, so I had to start again"——犯错后重新开始，again表示"再一次"。else用于否定句表"另外"，except表"除了"，都不符合重新来过的语义。考查副词选择。',
}

def exec_bash(cmd):
    r = subprocess.run(cmd, shell=True, capture_output=True, text=True)
    try:
        return json.loads(r.stdout)
    except:
        print(f"PARSE ERROR: {r.stdout[:200]}")
        return {}

def fix_record(tname, tid, rid, sid, record_fields):
    """Fix ability tags and explanations, return updated jsonData + text fields"""
    jd = json.loads(record_fields.get('jsonData', '{}'))
    modified = False
    
    for set_key in ['first', 'second']:
        qset = jd.get(set_key, {}).get('questionSet', [])
        for qi, q in enumerate(qset):
            # Fix ability tags
            abilities = q.get('ability', [])
            new_abilities = []
            ab_changed = False
            for a in abilities:
                if a in TAG_MAP:
                    new_abilities.append(TAG_MAP[a])
                    ab_changed = True
                else:
                    new_abilities.append(a)
            
            # For P4/P5: if ability is empty, add the cloze tag
            if not new_abilities:
                new_abilities = ['语法结构识别｜完形填空']
                ab_changed = True
            
            if ab_changed:
                q['ability'] = new_abilities
                modified = True
            
            # Fix explanation
            expl_key = (sid, set_key, qi)
            if expl_key in EXPLANATIONS:
                old_expl = q.get('explanation', '')
                if not old_expl or old_expl.strip() == '':
                    q['explanation'] = EXPLANATIONS[expl_key]
                    modified = True
    
    if not modified:
        return None, None, None
    
    new_jd_str = json.dumps(jd, ensure_ascii=False)
    
    # Also update 题目1/题目2 for P4/P5 where explanation was in the text description
    t1 = record_fields.get('题目1', '') or ''
    t2 = record_fields.get('题目2', '') or ''
    new_t1 = t1
    new_t2 = t2
    
    # For records where 题目 fields contain answer markers like （正确）
    # Add explanation notes to the text fields
    has_expl_added = False
    first_qs = jd.get('first', {}).get('questionSet', [])
    second_qs = jd.get('second', {}).get('questionSet', [])
    
    for set_idx, (qs, t_field, t_orig) in enumerate([(first_qs, '题目1', t1), (second_qs, '题目2', t2)]):
        if not qs or not t_orig:
            continue
        # Check if this text field already has explanations
        if '【解析】' in t_orig:
            continue
        # Add explanations section
        expl_lines = ['\n\n【解析】']
        for qi, q in enumerate(qs):
            expl = q.get('explanation', '')
            if expl:
                expl_lines.append(f'{qi+1}. {expl}')
        if len(expl_lines) > 1:
            new_text = t_orig + '\n'.join(expl_lines)
            if t_field == '题目1':
                new_t1 = new_text
            else:
                new_t2 = new_text
            has_expl_added = True
    
    return new_jd_str, new_t1, new_t2

# ===== Main =====
targets = [
    ('P1','tblCgfYDnnqwLfgH','recvjt0HzBBhYu','032501'),
    ('P3','tbl4q0ZUV3HB54t1','recvjug1hWz2oG','032601'),
    ('P4','tblzKVm1FEukPgnN','recvjueHm15HPu','032701'),
    ('P4','tblzKVm1FEukPgnN','recvjueN5QT1c5','032801'),
    ('P5','tblLmUxzzUDe0QAJ','recvjueULrufNg','032901'),
]

for tname, tid, rid, sid in targets:
    # Fetch record
    cmd = f'bash {SKILL} list_records {APP_TOKEN} {tid} 500'
    data = exec_bash(cmd)
    if data.get('code') != 0:
        print(f"❌ {sid}: fetch failed")
        continue
    
    fields = None
    for item in data['data']['items']:
        if item['record_id'] == rid:
            fields = item['fields']
            break
    if not fields:
        print(f"❌ {sid}: record not found")
        continue
    
    new_jd, new_t1, new_t2 = fix_record(tname, tid, rid, sid, fields)
    if new_jd is None:
        print(f"⏭️ {sid}: no changes needed")
        continue
    
    # Build update payload
    update_fields = {'jsonData': new_jd}
    if new_t1 != (fields.get('题目1', '') or ''):
        update_fields['题目1'] = new_t1
    if new_t2 != (fields.get('题目2', '') or ''):
        update_fields['题目2'] = new_t2
    
    payload = json.dumps(update_fields, ensure_ascii=False)
    cmd = f"bash {SKILL} update_record {APP_TOKEN} {tid} {rid} '{payload}'"
    result = subprocess.run(cmd, shell=True, capture_output=True, text=True, timeout=30)
    try:
        resp = json.loads(result.stdout)
        if resp.get('code') == 0:
            changes = []
            if 'jsonData' in update_fields:
                changes.append('jsonData')
            if '题目1' in update_fields:
                changes.append('题目1')
            if '题目2' in update_fields:
                changes.append('题目2')
            print(f"✅ {tname} {sid}: updated {', '.join(changes)}")
        else:
            print(f"❌ {tname} {sid}: API error — {resp}")
    except Exception as e:
        print(f"❌ {tname} {sid}: {e} — {result.stdout[:200]}")