81 lines
5.8 KiB
PHP
81 lines
5.8 KiB
PHP
<?php
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declare(strict_types=1);
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require __DIR__ . '/check_queue.php';
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use app\common\service\prescriptionai\PrescriptionAiCipher;
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use app\common\service\prescriptionai\PrescriptionAiGenerator;
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use think\facade\Db;
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$secret = (string) config('prescription_analysis.encryption_key', '');
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if ($secret === '') {
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$secret = trim((string) file_get_contents(root_path('runtime') . 'prescription_ai_private/snapshot.key'));
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}
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$cipher = new PrescriptionAiCipher($secret);
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$batch = Db::name('prescription_ai_batch')->where('prescription_id', 7556)->order('id', 'desc')->find();
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$context = $cipher->decrypt((string) $batch['context_cipher'], 'context');
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$budget = max(6000, min(200000, (int) config('prescription_ai.manual_analysis.input_token_budget', 24000))) - 3500;
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$units = (new ReflectionMethod(PrescriptionAiGenerator::class, 'sourceUnits'))->invoke(null, $context['source']['records'], $budget);
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$chunks = (new ReflectionMethod(PrescriptionAiGenerator::class, 'pack'))->invoke(null, $units, $budget);
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$textPromptBytes = [];
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foreach ($chunks as $chunk) {
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$ids = array_values(array_unique(array_column($chunk, 'source_id')));
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$prompt = (new ReflectionMethod(PrescriptionAiGenerator::class, 'evidencePrompt'))->invoke(null, 'text', $ids,
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['patient' => $context['source']['patient'] ?? [], 'clinical_field_semantics' => $context['source']['clinical_field_semantics'] ?? [], 'records' => $chunk]);
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$textPromptBytes[] = strlen($prompt);
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}
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$attachmentStatuses = array_count_values(array_column($context['files'] ?? [], 'status'));
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$result = [];
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foreach (Db::name('prescription_ai_task')->where('batch_id', $batch['id'])->select()->toArray() as $task) {
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if (empty($task['progress_cipher'])) { continue; }
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$progress = $cipher->decrypt($task['progress_cipher'], 'progress:' . $task['id']);
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$item = ['model' => $task['model_key'], 'stage' => $progress['stage'], 'calls' => $progress['usage']['total_calls'], 'steps' => []];
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foreach ($progress['steps'] ?? [] as $key => $step) {
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$content = (string) ($step['value']['content'] ?? '');
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$decoded = json_decode(trim($content), true);
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$jsonError = json_last_error_msg();
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$fenced = preg_match('/\A```(?:json)?\s*(.*?)\s*```\z/s', trim($content), $match) === 1;
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$wrapped = $fenced ? json_decode($match[1], true) : null;
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$summary = ['step' => $key, 'bytes' => strlen($content), 'json_error' => $jsonError,
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'has_think_tag' => str_contains($content, '<think>'), 'whole_json_fence' => $fenced,
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'json_keys' => is_array($decoded) ? array_keys($decoded) : null,
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'fenced_json_keys' => is_array($wrapped) ? array_keys($wrapped) : null];
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if (str_starts_with($key, 'text:')) {
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$expected = array_values(array_unique(array_column($chunks[(int) substr($key, 5)], 'source_id')));
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$summary['expected_source_count'] = count($expected);
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$summary['raw_valid'] = (new ReflectionMethod(PrescriptionAiGenerator::class, 'parseEvidence'))->invoke(null, $content, $expected) !== null;
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$summary['fenced_valid'] = $fenced && (new ReflectionMethod(PrescriptionAiGenerator::class, 'parseEvidence'))->invoke(null, $match[1], $expected) !== null;
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$value = is_array($decoded) ? $decoded : (is_array($wrapped) ? $wrapped : []);
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$summary['field_types'] = array_map('get_debug_type', $value);
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if (is_array($value['covered_source_ids'] ?? null)) {
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$summary['covered_source_count'] = count($value['covered_source_ids']);
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$summary['missing_source_count'] = count(array_diff($expected, $value['covered_source_ids']));
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$summary['extra_source_count'] = count(array_diff($value['covered_source_ids'], $expected));
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}
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}
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if (str_starts_with($key, 'files:')) {
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$sendable = array_values(array_filter($context['files'], static fn (array $f): bool => $f['status'] !== 'restricted' && !empty($f['url'])));
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$fileBatch = array_chunk($sendable, 3)[(int) substr($key, 6)];
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$known = array_values(array_unique(array_merge(array_column($context['source']['records'], 'source_id'), array_column($context['files'], 'file_id'))));
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$value = (new ReflectionMethod(PrescriptionAiGenerator::class, 'object'))->invoke(null, $content);
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$summary['file_output_valid'] = (new ReflectionMethod(PrescriptionAiGenerator::class, 'parseFiles'))->invoke(null, $content, $fileBatch, $known) !== null;
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$summary['returned_count'] = is_array($value['files'] ?? null) ? count($value['files']) : null;
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$summary['expected_count'] = count($fileBatch);
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$summary['file_shapes'] = [];
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foreach ($value['files'] ?? [] as $file) {
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$refs = $file['evidence_references'] ?? null;
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$summary['file_shapes'][] = ['keys' => array_keys($file), 'types' => array_map('get_debug_type', $file),
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'status' => in_array($file['status'] ?? '', ['processed', 'unreadable', 'unsupported'], true) ? $file['status'] : 'INVALID',
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'expected_id' => in_array($file['file_id'] ?? null, array_column($fileBatch, 'file_id'), true),
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'findings_bytes' => is_string($file['findings'] ?? null) ? strlen($file['findings']) : null,
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'refs_count' => is_array($refs) ? count($refs) : null,
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'unknown_refs_count' => is_array($refs) && count(array_filter($refs, 'is_string')) === count($refs) ? count(array_diff($refs, $known)) : null];
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}
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}
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$item['steps'][] = $summary;
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}
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$result[] = $item;
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}
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echo json_encode(['text_chunks' => count($chunks), 'text_prompt_bytes' => $textPromptBytes, 'input_budget' => $budget + 3500,
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'attachments' => count($context['files'] ?? []), 'attachment_statuses' => $attachmentStatuses,
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'progress_shape_only' => $result], JSON_PRETTY_PRINT | JSON_UNESCAPED_UNICODE), PHP_EOL;
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