{
    "summary": {
        "overall_match": "候选人具备5年硬件研发经验，精通传感器与消费电子硬件开发，0-1量产经验丰富，技术高度匹配，但第一学历为普通学院且稳定性略欠，综合推荐通过。",
        "key_strengths": [
            "具备完整的0-1量产及自动化产线落地经验，项目成果明确",
            "精通传感器硬件设计及EMC\/EMI整改，技术栈与岗位高度契合",
            "现居深圳，地点完全匹配，具备高速信号调试经验"
        ],
        "key_concerns": [
            "第一学历为湖南科技学院，可能触及JD中‘不要xx学院’的限制",
            "最近一段任职刚好24个月，历史平均任职较短，稳定性一般",
            "未明确表态是否接受大小周及高强度加班节奏"
        ],
        "recommendation_summary": "技术能力与项目经验高度匹配岗位需求，综合评分达到approve标准，建议推进面试并核实学历门槛及加班接受度。"
    },
    "dimensions": [
        {
            "name": "tech_power",
            "raw_score": 100,
            "confidence_level": "high",
            "jd_requirement": "3年以上经验，本科及以上，0-1量产经验；熟悉电子元器件\/线路，EMC\/EMI\/ESD经验；工业相机\/传感器经验优先；高速信号及ARM\/FPGA经验优先。",
            "resume_fulfillment": "完全满足。具备5年正式工作经验及硕士折算，拥有龙旗、亚泰等完整的0-1量产及产线落地经验；熟练掌握EMC\/EMI整改及传感器设计；具备USB高速信号调试经验；工业自动化传感器经验高度匹配加分项。"
        },
        {
            "name": "stability",
            "raw_score": 40,
            "confidence_level": "medium",
            "jd_requirement": "未明确说明，依据历史任职年限评估稳定性。",
            "resume_fulfillment": "最近一段任职24个月（未超过24个月），历史两段正式工作平均任职1.5年，历史均值较短，稳定性得分较低。"
        },
        {
            "name": "salary_match",
            "raw_score": 50,
            "confidence_level": "low",
            "jd_requirement": "18-28K",
            "resume_fulfillment": "候选人期望薪资为‘面议’，目前薪资21k*13，缺乏明确期望薪资数据，无法准确评估匹配度。"
        },
        {
            "name": "pace_match",
            "raw_score": 60,
            "confidence_level": "medium",
            "jd_requirement": "深圳-源政创业大厦；大小周，早9晚7，普遍9点下班，接受加班。",
            "resume_fulfillment": "现居深圳且可接受深圳工作，地点完全匹配；但未说明是否接受大小周及高强度加班安排，节奏适配度信息不足。"
        },
        {
            "name": "communication",
            "raw_score": 95,
            "confidence_level": "high",
            "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，模块划分合理，项目经历详细说明了背景、个人动作与量化结果，技能与经历时间线一致，呈现质量极高。"
        }
    ],
    "match_score": 78.7,
    "overall_confidence": 0.87,
    "recommendation": "approve"
}

{
    "events": [
        {
            "eventName": "ObjectCreated:PutObject",
            "eventSource": "acs:oss",
            "eventTime": "2026-09-09T09:45:04.000Z",
            "eventVersion": "1.0",
            "oss": {
                "bucket": {
                    "arn": "acs:oss:cn-hangzhou:1748673497100614:langbowei-static",
                    "name": "langbowei-static",
                    "ownerIdentity": "1748673497100614",
                    "virtualBucket": ""
                },
                "object": {
                    "deltaSize": 16520,
                    "eTag": "E91CA08F8E54E1B954F6466C3387B1B0",
                    "key": "parsed\/resumes\/1-6aa129c9-15efaf-9587514e328b__widget_1704704635359_merged.png.parsed.json",
                    "objectMeta": {
                        "mimeType": "application\/json"
                    },
                    "size": 16520
                },
                "ossSchemaVersion": "1.0",
                "ruleId": "ca5b3a7a3f9032c56d393bfb816e6376962c91d8"
            },
            "region": "cn-hangzhou",
            "requestParameters": {
                "sourceIPAddress": "172.16.0.128"
            },
            "responseElements": {
                "requestId": "6AA12AA07DEFF23533154085"
            },
            "userIdentity": {
                "principalId": "300891235492433224"
            }
        }
    ]
}