Merge commit '5706e9a6a51227ebf798df46fabcbabf83f91ab2' into codex/followup-audio

This commit is contained in:
2026-10-09 14:51:44 +08:00
793 changed files with 3807585 additions and 320 deletions
+304 -163
View File
@@ -10,6 +10,9 @@ use app\common\logic\BaseLogic;
use app\common\model\tcm\Diagnosis;
use app\common\model\tcm\DiagnosisAiReport;
use app\common\service\DifyChatService;
use app\common\service\NihaixiaClinicalSkill;
use app\common\service\TcmAncientBooksReference;
use app\adminapi\service\AssistantSseTiming;
use think\facade\Db;
use think\facade\Log;
@@ -21,11 +24,11 @@ class DiagnosisAiLogic extends BaseLogic
/** @var string Safe machine-readable code for the current assistant request. */
private static $assistantErrorCode = 'AI_ASSISTANT_FAILED';
private const PROMPT_VERSION = 'patient-context-case-explain-v2';
private const PROMPT_VERSION = 'patient-context-case-explain-nihaixia-ancient-v4';
private const ASSISTANT_PROMPT_VERSION = 'patient-context-assistant-v2';
private const ASSISTANT_PROMPT_VERSION = 'patient-context-assistant-nihaixia-ancient-v4';
private const ANALYSIS_PROMPT_VERSION = 'patient-context-analysis-v2';
private const ANALYSIS_PROMPT_VERSION = 'patient-context-analysis-nihaixia-ancient-v5';
private const MAX_ASSISTANT_PROMPT_LENGTH = 500;
@@ -53,6 +56,8 @@ class DiagnosisAiLogic extends BaseLogic
private const PERMISSION_ASSISTANT = 'tcm.diagnosis/aiassistant';
private const PERMISSION_GENERATE_PRESCRIPTION = 'tcm.diagnosis/aigenerateprescription';
private const PATIENT_OPTIONS_DEFAULT_PAGE_SIZE = 20;
private const PATIENT_OPTIONS_MAX_PAGE_SIZE = 50;
@@ -355,72 +360,117 @@ class DiagnosisAiLogic extends BaseLogic
string $task,
string $prompt,
int $adminId,
array $adminInfo
array $adminInfo,
?AssistantSseTiming $timing = null
): ?array {
self::$assistantErrorCode = 'AI_ASSISTANT_FAILED';
$diagnosis = self::loadAuthorizedDiagnosis(
$diagnosisId,
$adminId,
$adminInfo,
self::PERMISSION_ASSISTANT,
'权限不足,无法使用诊单 AI 助手'
);
if ($diagnosis === null) {
return null;
}
$prepareStartedAt = hrtime(true);
$aggregateMs = 0;
$compactionMs = 0;
$sourceBytes = 0;
$queryBytes = 0;
$attachmentCount = 0;
$compactionAttempted = false;
$status = 'error';
try {
self::$assistantErrorCode = 'AI_ASSISTANT_FAILED';
$task = strtolower(trim($task));
if (!isset(self::ASSISTANT_TASKS[$task])) {
self::setError('不支持的 AI 助手任务');
return null;
}
if ($task === 'prescription_generate'
&& !self::hasPermission($adminId, $adminInfo, self::PERMISSION_GENERATE_PRESCRIPTION)) {
self::setError('权限不足,无法使用 AI 生成处方');
return null;
}
$task = strtolower(trim($task));
if (!isset(self::ASSISTANT_TASKS[$task])) {
self::setError('不支持的 AI 助手任务');
return null;
}
$prompt = self::cleanText($prompt, self::MAX_ASSISTANT_PROMPT_LENGTH, true);
if ($task === 'custom' && $prompt === '') {
self::setError('请输入要咨询的问题');
return null;
}
$diagnosis = self::loadAuthorizedDiagnosis(
$diagnosisId,
$adminId,
$adminInfo,
self::PERMISSION_ASSISTANT,
'权限不足,无法使用诊单 AI 助手'
);
if ($diagnosis === null) {
return null;
}
$context = self::buildCaseContext($diagnosis, $adminId, $adminInfo);
if ($context['case_lines'] === []) {
self::setError('患者纵向资料为空或聚合失败,无法使用 AI 助手');
return null;
}
$prompt = self::cleanText($prompt, self::MAX_ASSISTANT_PROMPT_LENGTH, true);
if ($task === 'custom' && $prompt === '') {
self::setError('请输入要咨询的问题');
return null;
}
$profile = self::selectAssistantProfile($task, $prompt);
$modelConfig = self::modelConfigs()[$profile] ?? [];
$model = trim((string) ($modelConfig['name'] ?? ''));
$modelLabel = trim((string) ($modelConfig['label'] ?? $profile));
if ($model === '') {
self::setError('AI 模型服务尚未完整配置');
return null;
}
$aggregateStartedAt = hrtime(true);
$context = self::buildCaseContext($diagnosis, $adminId, $adminInfo);
$aggregateMs = AssistantSseTiming::elapsedMs($aggregateStartedAt);
$sourceBytes = strlen((string) ($context['case_text'] ?? ''));
$attachmentCount = count(is_array($context['files'] ?? null) ? $context['files'] : []);
if ($context['case_lines'] === []) {
self::setError('患者纵向资料为空或聚合失败,无法使用 AI 助手');
return null;
}
if (!self::fitContextForPrompt($context, $profile)) {
return null;
}
$profile = self::selectAssistantProfile($task, $prompt);
$modelConfig = self::modelConfigs()[$profile] ?? [];
$model = trim((string) ($modelConfig['name'] ?? ''));
$modelLabel = trim((string) ($modelConfig['label'] ?? $profile));
if ($model === '') {
self::setError('AI 模型服务尚未完整配置');
return null;
}
return [
'diagnosis_id' => $diagnosisId,
'profile' => $profile,
'model_name' => $model,
'model_label' => $modelLabel,
'task' => $task,
'inputs' => self::buildUpstreamInputs(
$compactionAttempted = $sourceBytes > self::MAX_PROMPT_SOURCE_BYTES;
$compactionStartedAt = hrtime(true);
if (!self::fitContextForPrompt($context, $profile, $timing)) {
$compactionMs = $compactionAttempted ? AssistantSseTiming::elapsedMs($compactionStartedAt) : 0;
return null;
}
$compactionMs = $compactionAttempted ? AssistantSseTiming::elapsedMs($compactionStartedAt) : 0;
$query = self::buildAssistantPrompt($context, $task, $prompt);
$inputs = self::buildUpstreamInputs(
$context,
'病例问诊助手',
self::ASSISTANT_PROMPT_VERSION
),
'query' => self::buildAssistantPrompt($context, $task, $prompt),
'user' => 'admin-diagnosis-assistant-' . $adminId,
'admin_id' => $adminId,
'files' => is_array($context['files'] ?? null) ? $context['files'] : [],
'context_scope' => (string) ($context['context_scope'] ?? 'patient_longitudinal'),
'context_version' => (string) ($context['context_version'] ?? self::ASSISTANT_PROMPT_VERSION),
'source_summary' => is_array($context['source_summary'] ?? null) ? $context['source_summary'] : [],
'source_diagnosis_ids' => is_array($context['source_diagnosis_ids'] ?? null)
? $context['source_diagnosis_ids']
: [],
];
);
$knowledgeSource = NihaixiaClinicalSkill::knowledgeSource();
$queryBytes = strlen($query);
$status = 'ok';
return [
'diagnosis_id' => $diagnosisId,
'profile' => $profile,
'model_name' => $model,
'model_label' => $modelLabel,
'task' => $task,
'inputs' => $inputs,
'query' => $query,
'knowledge_source' => $knowledgeSource,
'user' => 'admin-diagnosis-assistant-' . $adminId,
'admin_id' => $adminId,
'files' => is_array($context['files'] ?? null) ? $context['files'] : [],
'context_scope' => (string) ($context['context_scope'] ?? 'patient_longitudinal'),
'context_version' => (string) ($context['context_version'] ?? self::ASSISTANT_PROMPT_VERSION),
'source_summary' => is_array($context['source_summary'] ?? null) ? $context['source_summary'] : [],
'source_diagnosis_ids' => is_array($context['source_diagnosis_ids'] ?? null)
? $context['source_diagnosis_ids']
: [],
];
} finally {
if ($timing !== null) {
$timing->log('prepare', [
'duration_ms' => AssistantSseTiming::elapsedMs($prepareStartedAt),
'aggregate_ms' => $aggregateMs,
'compaction_ms' => $compactionMs,
'source_bytes' => $sourceBytes,
'query_bytes' => $queryBytes,
'attachment_count' => $attachmentCount,
'compaction_attempted' => $compactionAttempted,
'status' => $status,
]);
}
}
}
/**
@@ -432,74 +482,42 @@ class DiagnosisAiLogic extends BaseLogic
public static function streamPreparedAssistant(
array $prepared,
callable $onDelta,
?callable $shouldAbort = null
?callable $shouldAbort = null,
?AssistantSseTiming $timing = null
): ?array {
$diagnosisId = (int) ($prepared['diagnosis_id'] ?? 0);
$profile = (string) ($prepared['profile'] ?? '');
$adminId = (int) ($prepared['admin_id'] ?? 0);
$deliveredDelta = false;
$forwardDelta = static function (string $delta) use (&$deliveredDelta, $onDelta) {
$deltaCount = 0;
$deltaBytes = 0;
$retryAttempted = false;
$retryMs = 0;
$status = 'error';
$upstreamStartedAt = hrtime(true);
$forwardDelta = static function (string $delta) use (&$deliveredDelta, &$deltaCount, &$deltaBytes, $onDelta) {
$accepted = $onDelta($delta);
if ($accepted !== false) {
$deliveredDelta = true;
++$deltaCount;
$deltaBytes += strlen($delta);
}
return $accepted;
};
try {
$result = DifyChatService::streamChat(
$profile,
is_array($prepared['inputs'] ?? null) ? $prepared['inputs'] : [],
(string) ($prepared['query'] ?? ''),
(string) ($prepared['user'] ?? ''),
$forwardDelta,
$shouldAbort,
is_array($prepared['files'] ?? null) ? $prepared['files'] : []
);
} catch (\Throwable $e) {
self::logAssistantFailure(
$diagnosisId,
$profile,
$adminId,
$e,
(string) ($prepared['task'] ?? '')
);
self::$assistantErrorCode = 'UPSTREAM_UNAVAILABLE';
self::setError('AI 助手暂时不可用,请稍后重试');
return null;
}
if (empty($result['ok'])) {
self::logAssistantUpstreamError(
$diagnosisId,
$profile,
$adminId,
(string) ($prepared['task'] ?? ''),
is_array($result) ? $result : []
);
// Some Dify-compatible gateways accept blocking chat but reject or
// incompletely terminate streaming responses. Before any delta has
// reached the doctor it is safe to make one blocking compatibility
// attempt; after a delta, retrying could duplicate clinical text.
$streamErrorCode = strtoupper(trim((string) ($result['error_code'] ?? '')));
if (
!$deliveredDelta
&& in_array(
$streamErrorCode,
['UPSTREAM_REJECTED', 'INCOMPLETE_RESPONSE', 'EMPTY_RESPONSE'],
true
)
) {
try {
$result = DifyChatService::chat(
$profile,
is_array($prepared['inputs'] ?? null) ? $prepared['inputs'] : [],
(string) ($prepared['query'] ?? ''),
(string) ($prepared['user'] ?? ''),
is_array($prepared['files'] ?? null) ? $prepared['files'] : []
);
} catch (\Throwable $e) {
try {
$result = DifyChatService::streamChat(
$profile,
is_array($prepared['inputs'] ?? null) ? $prepared['inputs'] : [],
(string) ($prepared['query'] ?? ''),
(string) ($prepared['user'] ?? ''),
$forwardDelta,
$shouldAbort,
is_array($prepared['files'] ?? null) ? $prepared['files'] : []
);
} catch (\Throwable $e) {
if ($timing === null) {
self::logAssistantFailure(
$diagnosisId,
$profile,
@@ -508,7 +526,14 @@ class DiagnosisAiLogic extends BaseLogic
(string) ($prepared['task'] ?? '')
);
}
if (empty($result['ok'])) {
$status = 'exception';
self::$assistantErrorCode = 'UPSTREAM_UNAVAILABLE';
self::setError('AI 助手暂时不可用,请稍后重试');
return null;
}
if (empty($result['ok'])) {
if ($timing === null) {
self::logAssistantUpstreamError(
$diagnosisId,
$profile,
@@ -517,10 +542,72 @@ class DiagnosisAiLogic extends BaseLogic
is_array($result) ? $result : []
);
}
// Some Dify-compatible gateways accept blocking chat but reject or
// incompletely terminate streaming responses. Before any delta has
// reached the doctor it is safe to make one blocking compatibility
// attempt; after a delta, retrying could duplicate clinical text.
$streamErrorCode = strtoupper(trim((string) ($result['error_code'] ?? '')));
if (
!$deliveredDelta
&& in_array(
$streamErrorCode,
['UPSTREAM_REJECTED', 'INCOMPLETE_RESPONSE', 'EMPTY_RESPONSE'],
true
)
) {
$retryAttempted = true;
$retryStartedAt = hrtime(true);
try {
$result = DifyChatService::chat(
$profile,
is_array($prepared['inputs'] ?? null) ? $prepared['inputs'] : [],
(string) ($prepared['query'] ?? ''),
(string) ($prepared['user'] ?? ''),
is_array($prepared['files'] ?? null) ? $prepared['files'] : []
);
} catch (\Throwable $e) {
if ($timing === null) {
self::logAssistantFailure(
$diagnosisId,
$profile,
$adminId,
$e,
(string) ($prepared['task'] ?? '')
);
}
}
$retryMs = AssistantSseTiming::elapsedMs($retryStartedAt);
if (empty($result['ok'])) {
if ($timing === null) {
self::logAssistantUpstreamError(
$diagnosisId,
$profile,
$adminId,
(string) ($prepared['task'] ?? ''),
is_array($result) ? $result : []
);
}
}
}
}
$formatted = self::formatAssistantResult($prepared, $result);
$status = $formatted === null ? 'error' : 'ok';
return $formatted;
} finally {
if ($timing !== null) {
$timing->log('upstream_done', [
'duration_ms' => AssistantSseTiming::elapsedMs($upstreamStartedAt),
'retry_ms' => $retryMs,
'retry_attempted' => $retryAttempted,
'delta_count' => $deltaCount,
'delta_bytes' => $deltaBytes,
'status' => $status,
'error_code' => $status !== 'ok' ? self::getAssistantErrorCode() : '',
]);
}
}
return self::formatAssistantResult($prepared, $result);
}
/**
@@ -551,6 +638,8 @@ class DiagnosisAiLogic extends BaseLogic
$payload = [
'diagnosis_id' => (int) ($prepared['diagnosis_id'] ?? 0),
'answer' => $content,
'knowledge_source' => NihaixiaClinicalSkill::knowledgeSource(),
'ancient_book_sources' => is_array($result['ancient_book_sources'] ?? null) ? $result['ancient_book_sources'] : [],
'model_key' => (string) ($prepared['profile'] ?? ''),
'model_label' => (string) ($prepared['model_label'] ?? ''),
'model_name' => (string) ($prepared['model_name'] ?? ''),
@@ -783,48 +872,54 @@ class DiagnosisAiLogic extends BaseLogic
return null;
}
try {
$result = DifyChatService::chat(
$profile,
self::buildUpstreamInputs(
$context,
'诊单结构化分析',
self::ANALYSIS_PROMPT_VERSION
),
self::buildAnalysisPrompt($context),
'admin-diagnosis-analysis-' . $adminId,
is_array($context['files'] ?? null) ? $context['files'] : []
);
} catch (\Throwable $e) {
Log::warning('diagnosis ai analysis upstream call failed', [
'diagnosis_id' => $diagnosisId,
'profile' => $profile,
'admin_id' => $adminId,
'exception_class' => get_class($e),
]);
self::setError('AI智能分析暂时不可用,请稍后重试');
return null;
}
$inputs = self::buildUpstreamInputs($context, '诊单结构化分析', self::ANALYSIS_PROMPT_VERSION);
$prompt = self::buildAnalysisPrompt($context);
$files = is_array($context['files'] ?? null) ? $context['files'] : [];
$analysis = null;
for ($attempt = 0; $attempt < 2; $attempt++) {
try {
$result = DifyChatService::chat(
$profile,
$inputs,
$attempt === 0 ? $prompt : self::buildAnalysisRepairPrompt($prompt),
'admin-diagnosis-analysis-' . $adminId,
$files
);
} catch (\Throwable $e) {
Log::warning('diagnosis ai analysis upstream call failed', [
'diagnosis_id' => $diagnosisId,
'profile' => $profile,
'admin_id' => $adminId,
'exception_class' => get_class($e),
]);
self::setError('AI智能分析暂时不可用,请稍后重试');
return null;
}
if (empty($result['ok'])) {
self::setError('AI智能分析暂时不可用,请稍后重试');
return null;
if (empty($result['ok'])) {
self::setError('AI智能分析暂时不可用,请稍后重试');
return null;
}
$analysis = self::parseAnalysisResponse((string) ($result['content'] ?? ''));
if ($analysis !== null) {
break;
}
}
$analysis = self::parseAnalysisResponse((string) ($result['content'] ?? ''));
if ($analysis === null) {
self::setError('AI返回的分析结构不符合要求,请重试');
return null;
}
return array_merge($analysis, [
'knowledge_source' => NihaixiaClinicalSkill::knowledgeSource(),
'ancient_book_sources' => is_array($result['ancient_book_sources'] ?? null) ? $result['ancient_book_sources'] : [],
'diagnosis_id' => $diagnosisId,
'model_key' => $profile,
'model_label' => $modelLabel,
'model_name' => $modelName,
'generated_at' => date('Y-m-d H:i:s'),
'context_scope' => (string) ($context['context_scope'] ?? 'patient_longitudinal'),
'context_version' => (string) ($context['context_version'] ?? self::ANALYSIS_PROMPT_VERSION),
'context_version' => self::ANALYSIS_PROMPT_VERSION,
'source_summary' => is_array($context['source_summary'] ?? null)
? $context['source_summary']
: [],
@@ -938,7 +1033,8 @@ class DiagnosisAiLogic extends BaseLogic
$modelLabel,
$content,
(string) ($result['message_id'] ?? ''),
$adminId
$adminId,
is_array($result['ancient_book_sources'] ?? null) ? $result['ancient_book_sources'] : []
);
} catch (\Throwable $e) {
Log::warning('diagnosis ai report persist failed', [
@@ -1035,7 +1131,7 @@ class DiagnosisAiLogic extends BaseLogic
$context = self::buildCaseContext($diagnosis, $adminId, $adminInfo);
return [
'diagnosis_id' => $id,
'report' => self::formatReportRow($report->toArray(), $context['fingerprint']),
'report' => self::formatReportRow($report->toArray(), $context['fingerprint'], $context),
'can_edit' => self::hasPermission($adminId, $adminInfo, self::PERMISSION_EDIT),
'can_refresh' => self::hasPermission($adminId, $adminInfo, self::PERMISSION_REFRESH),
];
@@ -1442,6 +1538,13 @@ PROMPT;
PROMPT;
}
private static function buildAnalysisRepairPrompt(string $originalPrompt): string
{
return $originalPrompt . "\n\n格式校验提醒:请重新独立作答,只输出一个可解析的 JSON 对象,且仅有 diagnosis_advice、risk_assessment、treatment_advice 三个键。"
. '前后不要解释、代码块或参考资料版本标识;两个建议字段各不超过 500 字;risk_assessment 最多 5 项,'
. '每项仅有 label(不超过 80 字)与小写 level(high、medium、low)。资料不足时说明缺口,不能编造风险或处方。';
}
/**
* 让患者纵向资料适配单次上游请求的体积上限。
*
@@ -1450,7 +1553,11 @@ PROMPT;
*
* @param array<string,mixed> $context
*/
private static function fitContextForPrompt(array &$context, string $profile): bool
private static function fitContextForPrompt(
array &$context,
string $profile,
?AssistantSseTiming $timing = null
): bool
{
$caseText = (string) ($context['case_text'] ?? '');
if ($caseText === '' || strlen($caseText) <= self::MAX_PROMPT_SOURCE_BYTES) {
@@ -1460,12 +1567,12 @@ PROMPT;
try {
$compacted = PatientAiReportLogic::compactSourceForPrompt($profile, $caseText);
} catch (\Throwable $e) {
Log::warning('diagnosis ai context compaction failed', [
'diagnosis_id' => (int) ($context['diagnosis_id'] ?? 0),
'profile' => $profile,
'source_bytes' => strlen($caseText),
'exception_class' => get_class($e),
]);
if ($timing === null) {
Log::warning('diagnosis ai context compaction failed', [
'source_bytes' => strlen($caseText),
'exception_class' => get_class($e),
]);
}
self::setError('患者纵向资料过大,AI 分片读取失败,请稍后重试');
return false;
}
@@ -1593,7 +1700,8 @@ PROMPT;
string $modelLabel,
string $content,
string $messageId,
int $adminId
int $adminId,
array $ancientBookSources = []
): int {
$now = time();
$row = [
@@ -1603,6 +1711,7 @@ PROMPT;
'model_label' => self::cleanText($modelLabel, 50),
'report_content' => $content,
'message_id' => self::cleanText($messageId, 191),
'ancient_book_sources_json' => json_encode(TcmAncientBooksReference::localizeSources($ancientBookSources), JSON_UNESCAPED_UNICODE | JSON_UNESCAPED_SLASHES) ?: '[]',
'prompt_version' => self::PROMPT_VERSION,
'case_fingerprint' => (string) $context['fingerprint'],
'generated_by' => $adminId,
@@ -1618,6 +1727,7 @@ PROMPT;
'model_label',
'report_content',
'message_id',
'ancient_book_sources_json',
'prompt_version',
'case_fingerprint',
'generated_by',
@@ -1658,7 +1768,8 @@ PROMPT;
if (isset($rowsByModel[$modelKey])) {
$reports[] = self::formatReportRow(
$rowsByModel[$modelKey],
(string) $context['fingerprint']
(string) $context['fingerprint'],
$context
);
}
}
@@ -1691,11 +1802,14 @@ PROMPT;
* @param array<string,mixed> $row
* @return array<string,mixed>
*/
private static function formatReportRow(array $row, string $currentFingerprint): array
private static function formatReportRow(array $row, string $currentFingerprint, array $context = []): array
{
$content = (string) ($row['report_content'] ?? '');
$generatedTime = (int) ($row['generated_time'] ?? 0);
$editedTime = (int) ($row['edited_time'] ?? 0);
// The fingerprint includes the source summary and diagnosis IDs. Reuse
// current provenance only while it still matches the saved report.
$sameSources = hash_equals($currentFingerprint, (string) ($row['case_fingerprint'] ?? ''));
return [
'id' => (int) ($row['id'] ?? 0),
@@ -1706,13 +1820,16 @@ PROMPT;
'content' => $content,
'report' => self::parseReport($content),
'message_id' => (string) ($row['message_id'] ?? ''),
'knowledge_source' => NihaixiaClinicalSkill::knowledgeSourceForPromptVersion((string) ($row['prompt_version'] ?? '')),
'ancient_book_sources' => self::decodeAncientBookSources($row['ancient_book_sources_json'] ?? ''),
'prompt_version' => (string) ($row['prompt_version'] ?? ''),
'case_fingerprint' => (string) ($row['case_fingerprint'] ?? ''),
'prescription_fingerprint' => (string) ($row['case_fingerprint'] ?? ''),
'is_stale' => !hash_equals(
$currentFingerprint,
(string) ($row['case_fingerprint'] ?? '')
),
'is_stale' => !$sameSources,
'source_summary' => $sameSources && is_array($context['source_summary'] ?? null)
? $context['source_summary'] : [],
'source_diagnosis_ids' => $sameSources && is_array($context['source_diagnosis_ids'] ?? null)
? array_values(array_map('intval', $context['source_diagnosis_ids'])) : [],
'generated_by' => (int) ($row['generated_by'] ?? 0),
'generated_time' => $generatedTime,
'generated_at' => $generatedTime > 0 ? date('Y-m-d H:i:s', $generatedTime) : '',
@@ -1723,6 +1840,14 @@ PROMPT;
];
}
/** @return list<array<string,mixed>> */
private static function decodeAncientBookSources(mixed $value): array
{
$decoded = is_string($value) ? json_decode($value, true) : null;
return is_array($decoded) && array_is_list($decoded)
? TcmAncientBooksReference::localizeSources($decoded) : [];
}
/** @return array<string,array<string,mixed>> */
private static function modelConfigs(): array
{
@@ -1760,8 +1885,24 @@ PROMPT;
return null;
}
// Qwen occasionally drops letters from this key while keeping the other
// two contract keys intact. Accept only the two observed spellings, and
// never choose between conflicting diagnosis fields.
if (!array_key_exists('diagnosis_advice', $decoded)) {
$aliases = array_intersect(['diagnosis_adive', 'diagnosis_ad'], array_keys($decoded));
if (count($aliases) !== 1) {
return null;
}
$diagnosisField = $decoded[reset($aliases)];
} else {
if (array_key_exists('diagnosis_adive', $decoded) || array_key_exists('diagnosis_ad', $decoded)) {
return null;
}
$diagnosisField = $decoded['diagnosis_advice'];
}
$diagnosisAdvice = self::validatedAnalysisText(
$decoded['diagnosis_advice'] ?? null,
$diagnosisField,
self::MAX_ANALYSIS_ADVICE_LENGTH,
true
);
@@ -11,6 +11,8 @@ use app\common\model\auth\AdminDept;
use app\common\model\dept\Dept;
use app\common\model\tcm\PatientAiReport;
use app\common\service\DifyChatService;
use app\common\service\NihaixiaClinicalSkill;
use app\common\service\TcmAncientBooksReference;
use app\common\service\FileService;
use think\facade\Db;
use think\facade\Log;
@@ -41,7 +43,7 @@ class PatientAiReportLogic extends BaseLogic
private const PERMISSION_GENERATE = 'tcm.diagnosis/generatepatientaireport';
private const PROMPT_VERSION = 'patient-longitudinal-report-v2';
private const PROMPT_VERSION = 'patient-longitudinal-report-nihaixia-ancient-v4';
/** @var array<int,string> */
private const MODEL_KEYS = ['qwen', 'openai'];
@@ -246,6 +248,8 @@ class PatientAiReportLogic extends BaseLogic
'source_snapshot' => $sourceJson,
'source_summary_json' => self::encodeJson($sourceSummary),
'source_diagnosis_ids_json' => self::encodeJson($diagnosisIds),
'ancient_book_sources_json' => self::encodeJson(TcmAncientBooksReference::localizeSources(
is_array($upstream['ancient_book_sources'] ?? null) ? $upstream['ancient_book_sources'] : [])),
'source_hash' => $sourceHash,
'prompt_version' => self::PROMPT_VERSION,
'message_id' => self::cleanText($upstream['message_id'] ?? '', 191),
@@ -276,6 +280,8 @@ class PatientAiReportLogic extends BaseLogic
'report' => $generatedReport,
'disclaimer' => self::DISCLAIMER,
'source_summary' => $generatedReport['source_summary'] ?? self::emptySourceSummary(),
'source_diagnosis_ids' => $generatedReport['source_diagnosis_ids'] ?? [],
'knowledge_source' => $generatedReport['knowledge_source'] ?? null,
];
}
@@ -988,6 +994,7 @@ class PatientAiReportLogic extends BaseLogic
$chunkCount = count($chunks);
$inputs = self::sourceInputsForUpstream($snapshot['source_summary'] ?? []);
$files = self::collectUpstreamFiles($snapshot);
$ancientBookSources = [];
if ($chunkCount === 1) {
$result = DifyChatService::chat(
@@ -1025,6 +1032,7 @@ class PatientAiReportLogic extends BaseLogic
if (empty($part['ok']) || trim((string) ($part['content'] ?? '')) === '') {
throw new \RuntimeException('Patient evidence chunk analysis failed');
}
$ancientBookSources = self::mergeAncientBookSources($ancientBookSources, $part);
$summaries[] = [
'part' => $index + 1,
'total' => $chunkCount,
@@ -1057,6 +1065,7 @@ class PatientAiReportLogic extends BaseLogic
if (empty($part['ok']) || trim((string) ($part['content'] ?? '')) === '') {
throw new \RuntimeException('Patient evidence reduction failed');
}
$ancientBookSources = self::mergeAncientBookSources($ancientBookSources, $part);
$reduced[] = [
'part' => $index + 1,
'total' => count($summaryChunks),
@@ -1084,11 +1093,49 @@ class PatientAiReportLogic extends BaseLogic
'patient-longitudinal-report'
);
$result['analysis_chunk_count'] = $chunkCount;
$result['ancient_book_sources'] = self::mergeAncientBookSources($ancientBookSources, $result);
$result['analysis_reduction_rounds'] = $reductionRounds;
$result['analyzed_source_bytes'] = strlen($sourceJson);
return $result;
}
/** @param list<array<string,mixed>> $accumulated
* @param array<string,mixed> $response
* @return list<array<string,mixed>>
*/
private static function mergeAncientBookSources(array $accumulated, array $response): array
{
$sources = $response['ancient_book_sources'] ?? [];
if (!is_array($sources)) {
return $accumulated;
}
$seen = [];
foreach ($accumulated as $source) {
$seen[self::ancientBookSourceKey($source)] = true;
}
foreach ($sources as $source) {
if (!is_array($source)) {
continue;
}
$key = self::ancientBookSourceKey($source);
if (isset($seen[$key])) {
continue;
}
$seen[$key] = true;
$accumulated[] = $source;
if (count($accumulated) >= 12) {
break;
}
}
return TcmAncientBooksReference::localizeSources($accumulated);
}
private static function ancientBookSourceKey(array $source): string
{
return (string) ($source['commit'] ?? '') . "\0" . (string) ($source['path'] ?? '')
. "\0" . (string) ($source['line'] ?? '');
}
/** @param array<string,mixed> $snapshot */
private static function buildPrompt(array $snapshot): string
{
@@ -1427,6 +1474,8 @@ class PatientAiReportLogic extends BaseLogic
'report' => $generatedReport,
'disclaimer' => self::DISCLAIMER,
'source_summary' => is_array($newest) ? ($newest['source_summary'] ?? self::emptySourceSummary()) : self::emptySourceSummary(),
'source_diagnosis_ids' => is_array($newest) ? ($newest['source_diagnosis_ids'] ?? []) : [],
'knowledge_source' => is_array($newest) ? ($newest['knowledge_source'] ?? null) : null,
];
}
@@ -1465,6 +1514,10 @@ class PatientAiReportLogic extends BaseLogic
'disclaimer' => self::DISCLAIMER,
'source_hash' => (string) ($row['source_hash'] ?? ''),
'source_summary' => $sourceSummary !== [] ? $sourceSummary : self::emptySourceSummary(),
'source_diagnosis_ids' => self::decodeJsonArray($row['source_diagnosis_ids_json'] ?? ''),
'knowledge_source' => NihaixiaClinicalSkill::knowledgeSourceForPromptVersion((string) ($row['prompt_version'] ?? '')),
'ancient_book_sources' => TcmAncientBooksReference::localizeSources(
self::decodeJsonArray($row['ancient_book_sources_json'] ?? '')),
'prompt_version' => (string) ($row['prompt_version'] ?? ''),
'version' => max((int) ($row['version'] ?? 1), 1),
'generated_time' => $generatedTime,
@@ -5,6 +5,8 @@ declare(strict_types=1);
namespace app\adminapi\logic\tcm;
use app\common\model\auth\Admin;
use app\common\service\NihaixiaClinicalSkill;
use app\common\service\TcmAncientBooksReference;
use app\common\service\prescriptionai\PrescriptionAiAccess as Access;
use app\common\service\prescriptionai\PrescriptionAiCipher as Cipher;
use app\common\service\prescriptionai\PrescriptionAiDoctorSnapshot as DoctorSnapshot;
@@ -298,6 +300,9 @@ final class PrescriptionAiLogic
}
foreach ($results as $result) {
$body = $full ? (new Cipher())->decrypt($result['body_cipher'], 'result:' . $result['batch_id'] . ':' . $result['model_key']) : [];
if ($full) {
$body = self::localizeSourceMetadata($body);
}
unset($result['body_cipher']);
$result['score'] = $result['score'] === null ? null : (float) $result['score'];
$result['herb_score'] = $result['herb_score'] === null ? null : (float) $result['herb_score'];
@@ -321,6 +326,15 @@ final class PrescriptionAiLogic
return $map;
}
/** Existing encrypted results may still contain repository links. */
private static function localizeSourceMetadata(array $body): array
{
$body['knowledge_source'] = NihaixiaClinicalSkill::localizeKnowledgeSource($body['knowledge_source'] ?? null);
$body['ancient_book_sources'] = TcmAncientBooksReference::localizeSources(
is_array($body['ancient_book_sources'] ?? null) ? $body['ancient_book_sources'] : []);
return $body;
}
private static function formatBatch(array $batch, array $models, ?array $rx = null): array
{
$validity = $batch['validity'];
@@ -16,7 +16,7 @@ use think\facade\Log;
*/
class PrescriptionLibraryAiLogic extends BaseLogic
{
private const PROMPT_VERSION = 'rx-explain-v1';
private const PROMPT_VERSION = 'rx-explain-nihaixia-v2';
private const MAX_REPORT_LENGTH = 12000;