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Version: 0.9.65.dev.260503

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后端：
1. 阶段 1.5/1.6
收口 llm-service / rag-service，统一模型出口与检索基础设施入口，清退 backend/infra/llm 与 backend/infra/rag 旧实现；
2. 同步更新相关调用链与微服务迁移计划文档
This commit is contained in:
Losita
2026-05-03 23:21:03 +08:00
parent a6c1e5d077
commit 9902ca3563
65 changed files with 550 additions and 376 deletions
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20
backend/service/course_parse_ark.go
View File

@@ -8,16 +8,20 @@ import (
"strings"
"time"
infrallm "github.com/LoveLosita/smartflow/backend/infra/llm"
"github.com/LoveLosita/smartflow/backend/model"
llmservice "github.com/LoveLosita/smartflow/backend/services/llm"
)
// ParseCourseTableImage 使用 Ark SDK Responses 解析课程表图片。
func (ss *CourseService) ParseCourseTableImage(ctx context.Context, req model.CourseImageParseRequest) (*model.CourseImageParseResponse, error) {
if ss == nil || ss.courseImageResponsesClient == nil {
modelName := ""
if ss != nil {
modelName = ss.courseImageModel
}
log.Printf(
"[COURSE_PARSE][SERVICE] parser unavailable model_name=%q filename=%q mime=%q bytes=%d",
ss.courseImageModel,
modelName,
req.Filename,
req.MIMEType,
len(req.ImageBytes),
@@ -57,7 +61,7 @@ func (ss *CourseService) ParseCourseTableImage(ctx context.Context, req model.Co
base64Chars,
promptChars,
base64Chars+promptChars+len(strings.TrimSpace(courseImageParseSystemPrompt)),
infrallm.ThinkingModeDisabled,
llmservice.ThinkingModeDisabled,
courseImageParseTemperature,
ss.courseImageConfig.MaxTokens,
"json_object",
@@ -66,10 +70,10 @@ func (ss *CourseService) ParseCourseTableImage(ctx context.Context, req model.Co
// 1. 课程表图片识别输出体量大，显式透传 max_output_tokens，避免被默认值截断。
// 2. text_format 固定为 json_object，降低输出混入解释文本导致解析失败的概率。
// 3. thinking 显式关闭，优先保证课程导入链路稳定性。
draft, rawResult, err := infrallm.GenerateArkResponsesJSON[model.CourseImageParseResponse](ctx, ss.courseImageResponsesClient, messages, infrallm.ArkResponsesOptions{
draft, rawResult, err := llmservice.GenerateArkResponsesJSON[model.CourseImageParseResponse](ctx, ss.courseImageResponsesClient, messages, llmservice.ArkResponsesOptions{
Temperature: courseImageParseTemperature,
MaxOutputTokens: ss.courseImageConfig.MaxTokens,
Thinking: infrallm.ThinkingModeDisabled,
Thinking: llmservice.ThinkingModeDisabled,
TextFormat: "json_object",
})
if err != nil {
@@ -188,12 +192,12 @@ func (ss *CourseService) ParseCourseTableImage(ctx context.Context, req model.Co
return normalizedDraft, nil
}
func buildCourseImageParseResponsesMessages(req *model.CourseImageParseRequest) ([]infrallm.ArkResponsesMessage, int, int) {
func buildCourseImageParseResponsesMessages(req *model.CourseImageParseRequest) ([]llmservice.ArkResponsesMessage, int, int) {
userPrompt := fmt.Sprintf(courseImageParseUserPromptTemplate, req.Filename, req.MIMEType)
base64Data := base64.StdEncoding.EncodeToString(req.ImageBytes)
imageDataURL := fmt.Sprintf("data:%s;base64,%s", req.MIMEType, base64Data)
messages := []infrallm.ArkResponsesMessage{
messages := []llmservice.ArkResponsesMessage{
{
Role: "system",
Text: strings.TrimSpace(courseImageParseSystemPrompt),
@@ -208,7 +212,7 @@ func buildCourseImageParseResponsesMessages(req *model.CourseImageParseRequest)
return messages, len(base64Data), len(strings.TrimSpace(userPrompt))
}
func isCourseImageOutputTruncated(rawResult *infrallm.ArkResponsesResult) bool {
func isCourseImageOutputTruncated(rawResult *llmservice.ArkResponsesResult) bool {
if rawResult == nil {
return false
}