{
    "summary": {
        "overall_match": "候选人具备扎实的机器视觉项目经验与光学打光能力，技术匹配度高，但缺失学历信息且稳定性评估证据不足，需进一步核实。",
        "key_strengths": [
            "核心视觉技能与光学打光方案经验丰富，具备3D点云及深度学习项目落地经验",
            "具备售前方案评估与现场技术支持经历，契合岗位售前团队定位"
        ],
        "key_concerns": [
            "简历未提供学历及专业背景信息，无法核实硬性门槛",
            "仅有一段不足2年的工作经历，稳定性评估证据不足",
            "未明确说明对月休4天（单休）及中短期出差安排的接受度"
        ],
        "recommendation_summary": "技术能力与项目经验高度匹配，但学历信息缺失触发信息不足门槛，建议补充学历证明并确认出勤节奏接受度后再做最终决策。"
    },
    "dimensions": [
        {
            "name": "tech_power",
            "raw_score": 85,
            "confidence_level": "high",
            "jd_requirement": "2年以上机器视觉项目经验，熟练掌握视觉平台操作，具备扎实光学基础与打光方案设计能力，熟悉工业通信协议及PLC对接，有售前方案评估经验。",
            "resume_fulfillment": "具备1.7年视觉项目经验，熟练使用Halcon\/VisionPro等主流平台，有3D点云及深度学习OCR实战经验；项目中体现了双远心光学、偏振与低角度环形光等打光方案能力，以及TCP\/IP与西门子PLC通讯对接能力；有根据客户需求制定方案及评估测试的售前支持经历。"
        },
        {
            "name": "stability",
            "raw_score": 50,
            "confidence_level": "low",
            "jd_requirement": "评估候选人正式工作任职时长模式与稳定性。",
            "resume_fulfillment": "仅有一段正式工作经历（2024.10-2026.06，约20个月），不足24个月，且无其他历史正式工作经历可供计算均值，信息不足以可靠判断稳定性。"
        },
        {
            "name": "salary_match",
            "raw_score": 95,
            "confidence_level": "high",
            "jd_requirement": "岗位薪资预算为 10-15K。",
            "resume_fulfillment": "候选人期望薪资为 11k-13k，完全落在岗位预算范围内，无薪资沟通风险。"
        },
        {
            "name": "pace_match",
            "raw_score": 60,
            "confidence_level": "medium",
            "jd_requirement": "工作地点苏州，月休4天（单休），需适应中短期出差。",
            "resume_fulfillment": "候选人目前在苏州工作，地点匹配；自我评价提及适应快节奏，且过往工作包含现场技术支持，但未明确说明是否接受月休4天及中短期出差安排。"
        },
        {
            "name": "communication",
            "raw_score": 80,
            "confidence_level": "high",
            "jd_requirement": "评估简历文本的信息呈现质量、结构完整性与表达清晰度。",
            "resume_fulfillment": "简历模块清晰，项目经历具备背景、个人动作与量化结果支撑；但缺失具体职位名称字段，整体表达质量良好。"
        }
    ],
    "match_score": 78.6,
    "overall_confidence": 0.76,
    "recommendation": "pending"
}

{
    "events": [
        {
            "eventName": "ObjectCreated:PutObject",
            "eventSource": "acs:oss",
            "eventTime": "2026-08-24T09:15:08.000Z",
            "eventVersion": "1.0",
            "oss": {
                "bucket": {
                    "arn": "acs:oss:cn-hangzhou:1748673497100614:langbowei-static",
                    "name": "langbowei-static",
                    "ownerIdentity": "1748673497100614",
                    "virtualBucket": ""
                },
                "object": {
                    "deltaSize": 9098,
                    "eTag": "43586F1A83AA5C4AAB0F8728589A0CE9",
                    "key": "parsed\/resumes\/1-6a8c0b34-15902e-d9cbfc259ae7__widget_1704704635359_0.pdf.parsed.json",
                    "objectMeta": {
                        "mimeType": "application\/json"
                    },
                    "size": 9098
                },
                "ossSchemaVersion": "1.0",
                "ruleId": "ca5b3a7a3f9032c56d393bfb816e6376962c91d8"
            },
            "region": "cn-hangzhou",
            "requestParameters": {
                "sourceIPAddress": "172.16.0.128"
            },
            "responseElements": {
                "requestId": "6A8C0B9CC17F1C3230C71897"
            },
            "userIdentity": {
                "principalId": "300891235492433224"
            }
        }
    ]
}