Initial commit: AI Interview System

2026-01-23 13:57:48 +08:00
commit 95770afe21
127 changed files with 24686 additions and 0 deletions
--- a/backend/insert_full_mock.py
+++ b/backend/insert_full_mock.py
@@ -0,0 +1,137 @@
+"""
+插入包含完整评分字段的 Mock 数据
+"""
+import asyncio
+import httpx
+import json
+import uuid
+import random
+
+COZE_PAT_TOKEN = 'pat_nd1wU47WyPS9GCIyJ1clnH8h1WOQXGrYELX8w73TnSZaYbFdYD4swIhzcETBUbfT'
+WORKFLOW_ID = '7597376294612107318'
+
+CANDIDATES = [
+    {'name': '周雪琴', 'base_score': 88},
+    {'name': '陈美华', 'base_score': 75},
+    {'name': '林婷婷', 'base_score': 92},
+    {'name': '黄丽萍', 'base_score': 65},
+    {'name': '吴晓燕', 'base_score': 82},
+]
+
+
+async def execute_sql(sql: str, table: str) -> dict:
+    headers = {
+        'Authorization': f'Bearer {COZE_PAT_TOKEN}',
+        'Content-Type': 'application/json'
+    }
+    payload = {
+        'workflow_id': WORKFLOW_ID,
+        'parameters': {
+            'input': json.dumps({'table': table, 'sql': sql}, ensure_ascii=False)
+        }
+    }
+    async with httpx.AsyncClient(timeout=30.0) as client:
+        r = await client.post('https://api.coze.cn/v1/workflow/run', headers=headers, json=payload)
+        return r.json()
+
+
+def gen_score(base: int, variance: int = 10) -> int:
+    return max(50, min(100, base + random.randint(-variance, variance)))
+
+
+def get_level(score: int) -> str:
+    if score >= 85:
+        return "优秀"
+    elif score >= 70:
+        return "良好"
+    else:
+        return "一般"
+
+
+def escape_sql(s: str) -> str:
+    return s.replace("'", "''")
+
+
+async def main():
+    print('插入包含完整评分的 Mock 数据...')
+    print('=' * 50)
+    
+    for idx, c in enumerate(CANDIDATES, 1):
+        session_id = f'MOCK_{uuid.uuid4().hex[:8].upper()}'
+        base = c['base_score']
+        name = c['name']
+        
+        # 生成各维度分数
+        skill_score = gen_score(base)
+        concept_score = gen_score(base)
+        competency_score = gen_score(base)
+        avg_score = round((skill_score + concept_score + competency_score) / 3)
+        
+        # 生成报告
+        skill_level = get_level(skill_score)
+        concept_level = get_level(concept_score)
+        competency_level = get_level(competency_score)
+        
+        skill_report = f"销售技能评估：该候选人展现出{skill_level}的销售技巧。得分 {skill_score} 分。"
+        concept_report = f"销售观念评估：候选人对销售工作的认知{concept_level}。得分 {concept_score} 分。"
+        competency_report = f"综合素质评估：候选人的学习能力和抗压能力{competency_level}。得分 {competency_score} 分。"
+        
+        recommend = "强烈推荐录用" if avg_score >= 85 else ("建议录用" if avg_score >= 70 else "建议观察")
+        
+        final_report = f"""## 面试评估报告
+**候选人**: {name}
+**综合评分**: {avg_score}/100
+
+### 各维度评分
+- 销售技能: {skill_score}分
+- 销售观念: {concept_score}分
+- 综合素质: {competency_score}分
+
+### 建议
+{recommend}
+"""
+        
+        # 完整的 INSERT 语句
+        sql = f"""INSERT INTO ci_interview_assessments (
+            session_id, candidate_name, current_stage,
+            sales_skill_score, sales_skill_report,
+            sales_concept_score, sales_concept_report,
+            competency_score, competency_report,
+            final_score_report
+        ) VALUES (
+            '{session_id}', '{name}', 'completed',
+            '{skill_score}', '{escape_sql(skill_report)}',
+            '{concept_score}', '{escape_sql(concept_report)}',
+            '{competency_score}', '{escape_sql(competency_report)}',
+            '{escape_sql(final_report)}'
+        )"""
+        
+        result = await execute_sql(sql, 'assessments')
+        status = '✅' if result.get('code') == 0 else f"❌ code={result.get('code')}"
+        print(f'{idx}. {name}: 技能{skill_score} 观念{concept_score} 素质{competency_score} -> {status}')
+        
+        # 插入对话记录
+        dialogues = [
+            ('销售技能', '请描述一次成功的销售经历', '我曾经成功说服一位犹豫的客户购买了我们的高端护肤套装，通过了解她的肤质问题，提供了针对性的方案。'),
+            ('销售观念', '您认为什么是好的销售', '好的销售是真正帮助客户解决问题，建立长期信任关系，而不是一次性交易。'),
+            ('综合素质', '遇到困难时您如何应对', '我会先冷静分析问题的原因，制定解决方案，并保持积极的心态去执行。'),
+        ]
+        
+        for j, (stage, q, a) in enumerate(dialogues, 1):
+            log_id = f'LOG_{session_id}_{j:02d}'
+            log_sql = f"""INSERT INTO ci_interview_logs (
+                log_id, session_id, stage, round, ai_question, user_answer, log_type
+            ) VALUES (
+                '{log_id}', '{session_id}', '{stage}', '{j}',
+                '{escape_sql(q)}', '{escape_sql(a)}', 'interview'
+            )"""
+            await execute_sql(log_sql, 'logs')
+        
+        await asyncio.sleep(0.3)
+    
+    print('=' * 50)
+    print('✅ 完成！')
+
+
+if __name__ == '__main__':
+    asyncio.run(main())