{
    "summary": {
        "overall_match": "候选人具备丰富的安防智能硬件测试经验，技能部分匹配，但多项核心要求（如MCU架构、硬件仪器、AI工具）及薪资、到岗、加班意愿等信息缺失，整体证据不足以做出明确录用决策。",
        "key_strengths": [
            "安防及智能硬件测试经验丰富，高度匹配岗位加分项",
            "具备Python自动化脚本开发能力，有复杂项目交付经验"
        ],
        "key_concerns": [
            "多项核心硬技能（MCU架构、硬件调试仪器、AI工具）简历未体现",
            "实际工作年限约4.5年，略低于JD要求的5年",
            "期望薪资、到岗时间及对大小周高强度节奏的接受度未知"
        ],
        "recommendation_summary": "信息覆盖率仅35%，整体置信度29%，大量关键信息缺失导致无法进行可靠判断，建议补充信息后评估。"
    },
    "jd_analysis": {
        "must_requirements": [
            "全日制统招本科及以上，电子\/计算机\/自动化相关专业",
            "5年以上嵌入式固件或硬件产品测试经验，有独立负责复杂项目交付经历",
            "熟悉ARM等MCU架构，能阅读C\/C++代码，理解中断、RTOS调度等机制",
            "熟悉UART、I2C、SPI、USB等接口协议，会用示波器\/逻辑分析仪",
            "熟练使用Python\/C++\/Shell至少一门语言",
            "必须熟练使用AI工具辅助测试工作"
        ],
        "preferred_requirements": [
            {
                "requirement": "有工业相机、读码器、安防、物联网产品测试经验",
                "importance": "high"
            },
            {
                "requirement": "了解ISP Pipeline或图像质量测试",
                "importance": "medium"
            },
            {
                "requirement": "有功耗测试、信号完整性测试经验",
                "importance": "low"
            }
        ],
        "job_environment": {
            "city": "苏州",
            "work_mode": "线下（展业大厦）",
            "pace": "大小周(早9晚9)",
            "company_stage": "高速成长期硬科技企业",
            "arrival_requirement": "2026-08-31"
        },
        "salary_range": {
            "min_k": 15,
            "max_k": 25,
            "median_k": 20,
            "source": "explicit"
        }
    },
    "hard_requirements_check": [
        {
            "requirement": "全日制统招本科及以上，电子\/计算机\/自动化相关专业",
            "status": "met",
            "evidence": "常州工学院，软件工程专业，本科"
        },
        {
            "requirement": "5年以上嵌入式固件或硬件产品测试经验",
            "status": "partially_met",
            "evidence": "2021.07-2026.01在苏州科达担任产品测试，实际约4.5年，略低于5年要求"
        },
        {
            "requirement": "熟悉ARM等MCU架构，能阅读C\/C++代码，理解中断、RTOS调度等机制",
            "status": "unknown",
            "evidence": "简历未提及ARM\/MCU架构、C\/C++代码及RTOS相关内容"
        },
        {
            "requirement": "熟悉UART、I2C、SPI、USB等接口协议，会用示波器\/逻辑分析仪",
            "status": "unknown",
            "evidence": "简历提及协助硬件和fpga验证，但未明确提及具体接口协议及示波器\/逻辑分析仪的使用"
        },
        {
            "requirement": "熟练使用Python\/C++\/Shell至少一门语言",
            "status": "met",
            "evidence": "明确提及基于Python自主开发硬件自动化测试脚本，了解shell脚本"
        },
        {
            "requirement": "必须熟练使用AI工具辅助测试工作",
            "status": "unknown",
            "evidence": "简历未提及任何AI工具的使用经验"
        }
    ],
    "dimensions": [
        {
            "name": "tech_power",
            "raw_score": 92,
            "confidence_level": "medium",
            "confidence_coefficient": 0.8,
            "adjusted_score": 83.6,
            "base_weight": 0.3,
            "adjusted_weight": 0.857,
            "jd_requirement": "要求5年以上嵌入式\/硬件测试经验，熟悉ARM\/MCU、接口协议及仪器，熟练Python\/Shell，必须使用AI工具，有安防\/图像经验优先",
            "resume_fulfillment": "具备4.5年安防智能硬件测试经验，熟练使用Python开发自动化脚本，有复杂项目交付经验。但ARM\/MCU、硬件仪器及AI工具经验未体现",
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50,
                    "evidence": "基准分"
                },
                {
                    "item": "核心要求匹配度",
                    "score_change": 15,
                    "evidence": "学历专业met，Python\/Shell met，经验partially_met，其余unknown。综合判断为大部分满足或相关"
                },
                {
                    "item": "加分项命中",
                    "score_change": 12,
                    "evidence": "命中安防产品经验(high)+8，命中图像质量测试(medium)+4"
                },
                {
                    "item": "项目证据",
                    "score_change": 15,
                    "evidence": "有高度相关的多芯片平台IPC、海外定制等复杂项目，且明确解决bit翻转等量产问题"
                }
            ],
            "reason": "候选人在安防硬件测试和Python自动化方面表现优秀，但部分核心底层技能（MCU、仪器、AI工具）缺乏证据，置信度降为medium"
        },
        {
            "name": "stability",
            "raw_score": 50,
            "confidence_level": "low",
            "confidence_coefficient": 0,
            "adjusted_score": null,
            "base_weight": 0.25,
            "adjusted_weight": null,
            "jd_requirement": "期望候选人具备长期稳定的工作经历",
            "resume_fulfillment": "仅有一段正式工作经历（苏州科达，4.5年），无法计算历史均值，不纳入综合分",
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50,
                    "evidence": "基准分"
                }
            ],
            "reason": "仅有一段有效正式工作经历，根据规则置信度设为low，不纳入综合分"
        },
        {
            "name": "salary_match",
            "raw_score": 50,
            "confidence_level": "low",
            "confidence_coefficient": 0,
            "adjusted_score": null,
            "base_weight": 0.2,
            "adjusted_weight": null,
            "jd_requirement": "期望薪资范围15-25K",
            "resume_fulfillment": "候选人未提供期望薪资",
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50,
                    "evidence": "基准分"
                }
            ],
            "reason": "缺少候选人期望薪资信息，置信度为low，不纳入综合分"
        },
        {
            "name": "pace_match",
            "raw_score": 62,
            "confidence_level": "low",
            "confidence_coefficient": 0,
            "adjusted_score": null,
            "base_weight": 0.2,
            "adjusted_weight": null,
            "jd_requirement": "苏州线下办公，大小周(早9晚9)，2026-08-31到岗",
            "resume_fulfillment": "期望城市苏州，当前在苏州工作，地点匹配。但未说明是否接受大小周及到岗时间",
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50,
                    "evidence": "基准分"
                },
                {
                    "item": "地点匹配",
                    "score_change": 12,
                    "evidence": "期望城市苏州，且当前在苏州科达工作，地点明确匹配"
                }
            ],
            "reason": "地点明确匹配，但未说明是否接受大小周高强度节奏及到岗安排，根据规则置信度降为low，不纳入综合分"
        },
        {
            "name": "communication",
            "raw_score": 95,
            "confidence_level": "high",
            "confidence_coefficient": 1,
            "adjusted_score": 95,
            "base_weight": 0.05,
            "adjusted_weight": 0.143,
            "jd_requirement": "此项为简历信息表达质量评估，JD无直接要求",
            "resume_fulfillment": "简历结构清晰，字段完整，项目描述包含背景、动作和明确结果，时间线一致",
            "score_breakdown": [
                {
                    "item": "中性基准",
                    "score_change": 50,
                    "evidence": "基准分"
                },
                {
                    "item": "结构清晰度",
                    "score_change": 10,
                    "evidence": "模块划分清晰，阅读顺序合理"
                },
                {
                    "item": "信息完整度",
                    "score_change": 10,
                    "evidence": "任职时间、职位、公司和项目字段完整"
                },
                {
                    "item": "证据表达",
                    "score_change": 15,
                    "evidence": "多数项目包含具体动作和量化结果（如脱敏99%、解决bit翻转）"
                },
                {
                    "item": "一致性",
                    "score_change": 10,
                    "evidence": "技能、经历、项目和时间线相互一致"
                }
            ],
            "reason": "简历文本质量高，结构清晰，证据表达充分，置信度为high"
        }
    ],
    "information_coverage": 0.35,
    "overall_confidence": 0.29,
    "match_score": 85.2,
    "bonus_items": [
        {
            "dimension": "tech_power",
            "score": 92,
            "confidence": "medium",
            "impact": 2.88,
            "evidence": "安防硬件测试及Python自动化经验突出，项目成果明确"
        },
        {
            "dimension": "communication",
            "score": 95,
            "confidence": "high",
            "impact": 0.75,
            "evidence": "简历结构清晰，项目描述包含具体动作和量化结果"
        }
    ],
    "risks": {
        "hard_constraint_risks": [],
        "confirmed_high_risks": [],
        "potential_risks": [
            {
                "risk": "核心硬技能部分缺失",
                "detail": "ARM\/MCU架构、硬件调试仪器及AI工具使用经验在简历中未体现，存在能力盲区风险",
                "impact": 1.5
            },
            {
                "risk": "经验年限略微不足",
                "detail": "实际工作年限约4.5年，略低于JD明确要求的5年以上",
                "impact": 0.75
            }
        ]
    },
    "missing_information": [
        "期望薪资",
        "到岗时间",
        "是否接受大小周(早9晚9)工作制",
        "ARM\/MCU\/C\/C++\/RTOS相关经验",
        "UART\/I2C\/SPI\/USB接口协议及示波器\/逻辑分析仪使用经验",
        "AI工具辅助测试经验"
    ],
    "recommendation": "pending",
    "recommendation_reason": "insufficient_evidence"
}

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