265 lines
11 KiB
PHP
265 lines
11 KiB
PHP
<?php
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declare(strict_types=1);
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require dirname(__DIR__) . '/vendor/autoload.php';
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use app\adminapi\logic\tcm\PatientAiReportLogic;
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function patientSnapshotExpect(bool $condition, string $message): void
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{
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if (!$condition) {
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fwrite(STDERR, "FAIL: {$message}\n");
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exit(1);
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}
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}
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$reflection = new ReflectionClass(PatientAiReportLogic::class);
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$build = $reflection->getMethod('buildSourceSnapshotFromRows');
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$canonicalJson = $reflection->getMethod('canonicalJson');
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$sanitize = $reflection->getMethod('sanitizeSnapshotForUpstream');
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$decodeAttachments = $reflection->getMethod('decodeAttachmentArray');
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patientSnapshotExpect(
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$decodeAttachments->invoke(null, 'https://legacy.test/only.pdf') === ['https://legacy.test/only.pdf'],
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'legacy single-URL attachment is retained as one item'
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);
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patientSnapshotExpect(
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$decodeAttachments->invoke(null, '/a.pdf, /b.jpg，/c.png') === ['/a.pdf', '/b.jpg', '/c.png'],
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'legacy ASCII and Chinese comma-delimited attachments are all retained'
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);
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patientSnapshotExpect(
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$decodeAttachments->invoke(null, '"/quoted-single.pdf"') === ['/quoted-single.pdf'],
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'legacy JSON string attachment is retained as one item'
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);
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$sources = [
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'patient_id' => 88,
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'diagnoses' => [[
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'id' => 101,
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'patient_id' => 88,
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'patient_name' => '张某',
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'gender' => 1,
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'age' => 52,
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'diagnosis_date' => 1722384000,
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'symptoms' => '口渴、乏力',
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'tongue_coating' => '舌红，苔薄黄',
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'pulse' => '弦数',
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'doctor_advice' => '复查空腹血糖',
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'report_files' => '["https://private.test/report-a.pdf?token=secret"]',
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]],
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'doctor_notes' => [[
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'id' => 1,
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'diagnosis_id' => 101,
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'doctor_id' => 7,
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'note_date' => '2026-08-01',
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'content' => '舌苔较前转薄，检验报告待复核',
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'tongue_images' => '["/uploads/tongue.jpg"]',
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'report_files' => '["/uploads/lab.pdf"]',
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]],
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'tracking_notes' => [[
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'id' => 2,
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'diagnosis_id' => 101,
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'admin_id' => 8,
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'note_date' => '2026-08-02',
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'content' => '患者自述夜间口渴减轻',
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]],
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'blood_records' => [[
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'id' => 3,
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'diagnosis_id' => 101,
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'patient_id' => 88,
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'record_date' => 1785600000,
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'fasting_blood_sugar' => '7.1',
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'systolic_pressure' => 128,
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'diastolic_pressure' => 82,
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]],
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'diet_records' => [[
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'id' => 4,
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'diagnosis_id' => 101,
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'patient_id' => 88,
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'record_date' => 1785600000,
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'breakfast_foods' => '鸡蛋、燕麦',
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]],
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'exercise_records' => [[
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'id' => 5,
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'diagnosis_id' => 101,
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'patient_id' => 88,
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'record_date' => 1785600000,
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'exercise_type' => '步行',
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'duration' => 35,
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'intensity' => 2,
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]],
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'prescriptions' => [[
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'id' => 12,
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'diagnosis_id' => 101,
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'patient_id' => 88,
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'prescription_name' => '益气养阴方',
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'clinical_diagnosis' => '气阴两虚证',
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'case_record' => '{"present_illness":"口渴乏力一月"}',
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'herbs' => '[{"name":"黄芪","dosage":15,"formula_type":"主方"}]',
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'dose_count' => 7,
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'usage_days' => 7,
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'times_per_day' => 2,
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'audit_status' => 1,
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]],
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'im_messages' => [[
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'id' => 6,
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'diagnosis_id' => 101,
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'patient_id' => 88,
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'msg_time' => 1785600100,
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'is_from_doctor' => 0,
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'msg_type' => 'text',
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'text' => '今天空腹血糖7.1',
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'file_name' => 'patient-zhang-lab-result.pdf',
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'from_staff_name' => '王医生',
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]],
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'wechat_messages' => [[
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'id' => 7,
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'diagnosis_id' => 101,
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'patient_id' => 88,
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'chat_time' => 1785600200,
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'direction' => 0,
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'msg_type' => 'text',
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'content' => '请按时复诊',
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]],
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'call_records' => [[
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'id' => 9,
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'diagnosis_id' => 101,
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'call_type' => 2,
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'status' => 2,
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'start_time' => 1785600300,
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'duration' => 600,
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'recording_urls' => '["https://private.test/playback.m3u8?sign=sensitive"]',
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'recording_status' => 2,
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]],
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'transcript_segments' => [
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[
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'id' => 10,
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'call_record_id' => 9,
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'transcription_session_id' => 'session-secret',
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'segment_id' => 'segment-1',
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'speaker_role' => 'doctor',
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'timestamp_ms' => 1000,
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'text' => '最近口渴是否减轻？',
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],
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[
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'id' => 11,
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'call_record_id' => 9,
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'transcription_session_id' => 'session-secret',
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'segment_id' => 'segment-2',
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'speaker_role' => 'patient',
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'timestamp_ms' => 2000,
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'text' => '减轻了，联系电话13812345678。',
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],
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],
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];
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$snapshot = $build->invoke(null, $sources);
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patientSnapshotExpect(is_array($snapshot), 'snapshot is structured');
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patientSnapshotExpect($snapshot['patient']['patient_id'] === 88, 'stable patient id is retained');
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patientSnapshotExpect($snapshot['patient']['patient_name'] === '张某', 'server snapshot retains audited patient identity');
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patientSnapshotExpect($snapshot['diagnoses'][0]['tongue_coating'] === '舌红，苔薄黄', 'tongue coating is aggregated');
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patientSnapshotExpect($snapshot['diagnoses'][0]['pulse'] === '弦数', 'pulse is aggregated');
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patientSnapshotExpect($snapshot['diagnoses'][0]['doctor_advice'] === '复查空腹血糖', 'diagnosis doctor advice is aggregated');
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patientSnapshotExpect($snapshot['doctor_notes'][0]['content'] === '舌苔较前转薄，检验报告待复核', 'doctor notes are aggregated');
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patientSnapshotExpect(count($snapshot['doctor_notes'][0]['report_files']) === 1, 'doctor report attachment records are aggregated');
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patientSnapshotExpect(count($snapshot['daily_records']['blood_glucose_pressure']) === 1, 'blood daily records are aggregated');
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patientSnapshotExpect(count($snapshot['daily_records']['diet']) === 1, 'diet daily records are aggregated');
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patientSnapshotExpect(count($snapshot['daily_records']['exercise']) === 1, 'exercise daily records are aggregated');
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patientSnapshotExpect(count($snapshot['prescriptions']) === 1, 'formal prescriptions are aggregated');
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patientSnapshotExpect($snapshot['prescriptions'][0]['herbs'][0]['name'] === '黄芪', 'prescription herbs are decoded');
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patientSnapshotExpect(
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$snapshot['prescriptions'][0]['case_record']['present_illness'] === '口渴乏力一月',
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'prescription case history snapshot is decoded'
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);
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patientSnapshotExpect(count($snapshot['chat_records']['tencent_im']) === 1, 'IM chat is aggregated');
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patientSnapshotExpect(count($snapshot['chat_records']['wechat_work']) === 1, 'WeChat Work chat is aggregated');
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patientSnapshotExpect(count($snapshot['video_calls'][0]['segments']) === 2, 'every call includes transcript segments');
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patientSnapshotExpect(
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str_contains($snapshot['video_calls'][0]['transcript_text'], '医生：最近口渴是否减轻？')
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&& str_contains($snapshot['video_calls'][0]['transcript_text'], '患者：减轻了'),
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'transcript_text is rebuilt from segments when live call columns are absent'
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);
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patientSnapshotExpect(count($snapshot['video_calls'][0]['recording_urls']) === 1, 'playback records remain in server snapshot');
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$summary = $snapshot['source_summary'];
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foreach ([
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'diagnosis_count' => 1,
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'doctor_note_count' => 1,
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'tracking_note_count' => 1,
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'blood_record_count' => 1,
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'diet_record_count' => 1,
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'exercise_record_count' => 1,
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'prescription_count' => 1,
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'im_message_count' => 1,
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'wechat_message_count' => 1,
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'call_record_count' => 1,
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'transcript_segment_count' => 2,
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'recording_asset_count' => 1,
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] as $field => $count) {
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patientSnapshotExpect($summary[$field] === $count, "summary {$field} is correct");
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}
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$canonicalOne = $canonicalJson->invoke(null, $snapshot);
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$reordered = array_reverse($snapshot, true);
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$canonicalTwo = $canonicalJson->invoke(null, $reordered);
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patientSnapshotExpect(hash('sha256', $canonicalOne) === hash('sha256', $canonicalTwo), 'source hash is key-order stable');
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$upstream = $sanitize->invoke(null, $snapshot);
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$upstreamJson = json_encode($upstream, JSON_UNESCAPED_UNICODE | JSON_UNESCAPED_SLASHES) ?: '';
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patientSnapshotExpect(!str_contains($upstreamJson, '张某'), 'patient name is removed upstream');
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patientSnapshotExpect(!str_contains($upstreamJson, '13812345678'), 'phone embedded in transcript is redacted upstream');
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patientSnapshotExpect(!str_contains($upstreamJson, 'private.test'), 'private attachment and playback URLs are removed upstream');
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patientSnapshotExpect(!str_contains($upstreamJson, 'patient-zhang-lab-result.pdf'), 'attachment filename is removed upstream');
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patientSnapshotExpect(!str_contains($upstreamJson, '王医生'), 'staff name is removed upstream');
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patientSnapshotExpect($upstream['patient']['patient_id'] === '[已脱敏]', 'patient id is removed upstream');
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patientSnapshotExpect(
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$upstream['chat_records']['tencent_im'][0]['file_name'] === '[已脱敏]',
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'filename-shaped fields are redacted upstream'
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);
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patientSnapshotExpect(str_contains($upstreamJson, 'attachment_count'), 'attachment presence remains available upstream');
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// 方名、外院机构名和药味名是临床内容，不是身份信息；把它们一并脱敏会让模型
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// 看不到既往用方，直接影响处方草稿与用药复核。
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patientSnapshotExpect(
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str_contains($upstreamJson, '益气养阴方'),
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'clinical prescription_name survives upstream sanitisation'
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);
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$longText = str_repeat('超长病历段落甲乙丙。', 20000);
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$manyNotes = [];
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for ($index = 1; $index <= 240; $index++) {
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$manyNotes[] = [
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'id' => $index,
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'diagnosis_id' => 501,
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'content' => "随访记录-{$index}",
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];
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}
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$completeSnapshot = $build->invoke(null, [
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'patient_id' => 500,
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'diagnoses' => [[
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'id' => 501,
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'patient_id' => 500,
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'patient_name' => '完整性测试患者',
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'symptoms' => $longText,
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]],
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'doctor_notes' => $manyNotes,
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]);
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patientSnapshotExpect(
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$completeSnapshot['diagnoses'][0]['symptoms'] === $longText,
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'long source text is not truncated in the persisted snapshot'
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);
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patientSnapshotExpect(
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count($completeSnapshot['doctor_notes']) === 240
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&& $completeSnapshot['doctor_notes'][0]['content'] === '随访记录-1'
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&& $completeSnapshot['doctor_notes'][239]['content'] === '随访记录-240',
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'large multi-record source sets retain every record in order'
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);
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patientSnapshotExpect(
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$completeSnapshot['source_summary']['doctor_note_count'] === 240
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&& $completeSnapshot['source_summary']['snapshot_complete'] === true
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&& $completeSnapshot['source_summary']['may_be_truncated'] === false,
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'source summary declares the complete untruncated multi-record snapshot'
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);
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echo "Patient AI report snapshot aggregation: OK\n";
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