File size: 7,646 Bytes
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import (
"encoding/json"
"io"
"net/http"
"strings"
"time"
"ds2api/internal/assistantturn"
dsprotocol "ds2api/internal/deepseek/protocol"
"ds2api/internal/responsehistory"
"ds2api/internal/sse"
streamengine "ds2api/internal/stream"
)
//nolint:unused // retained for native Gemini stream handling path.
func (h *Handler) handleStreamGenerateContent(w http.ResponseWriter, r *http.Request, resp *http.Response, model, finalPrompt string, thinkingEnabled, searchEnabled bool, toolNames []string, toolsRaw any, historySessions ...*responsehistory.Session) {
var historySession *responsehistory.Session
if len(historySessions) > 0 {
historySession = historySessions[0]
}
defer func() { _ = resp.Body.Close() }()
if resp.StatusCode != http.StatusOK {
body, _ := io.ReadAll(resp.Body)
if historySession != nil {
historySession.Error(resp.StatusCode, strings.TrimSpace(string(body)), "error", "", "")
}
writeGeminiError(w, resp.StatusCode, strings.TrimSpace(string(body)))
return
}
w.Header().Set("Content-Type", "text/event-stream")
w.Header().Set("Cache-Control", "no-cache, no-transform")
w.Header().Set("Connection", "keep-alive")
w.Header().Set("X-Accel-Buffering", "no")
rc := http.NewResponseController(w)
_, canFlush := w.(http.Flusher)
runtime := newGeminiStreamRuntime(w, rc, canFlush, model, finalPrompt, thinkingEnabled, searchEnabled, stripReferenceMarkersEnabled(), toolNames, toolsRaw, historySession)
initialType := "text"
if thinkingEnabled {
initialType = "thinking"
}
streamengine.ConsumeSSE(streamengine.ConsumeConfig{
Context: r.Context(),
Body: resp.Body,
ThinkingEnabled: thinkingEnabled,
InitialType: initialType,
KeepAliveInterval: time.Duration(dsprotocol.KeepAliveTimeout) * time.Second,
IdleTimeout: time.Duration(dsprotocol.StreamIdleTimeout) * time.Second,
MaxKeepAliveNoInput: dsprotocol.MaxKeepaliveCount,
}, streamengine.ConsumeHooks{
OnParsed: runtime.onParsed,
OnFinalize: func(_ streamengine.StopReason, _ error) {
runtime.finalize()
},
})
}
//nolint:unused // retained for native Gemini stream handling path.
type geminiStreamRuntime struct {
w http.ResponseWriter
rc *http.ResponseController
canFlush bool
model string
finalPrompt string
thinkingEnabled bool
searchEnabled bool
bufferContent bool
stripReferenceMarkers bool
toolNames []string
toolsRaw any
accumulator *assistantturn.Accumulator
contentFilter bool
responseMessageID int
history *responsehistory.Session
}
//nolint:unused // retained for native Gemini stream handling path.
func newGeminiStreamRuntime(
w http.ResponseWriter,
rc *http.ResponseController,
canFlush bool,
model string,
finalPrompt string,
thinkingEnabled bool,
searchEnabled bool,
stripReferenceMarkers bool,
toolNames []string,
toolsRaw any,
history *responsehistory.Session,
) *geminiStreamRuntime {
return &geminiStreamRuntime{
w: w,
rc: rc,
canFlush: canFlush,
model: model,
finalPrompt: finalPrompt,
thinkingEnabled: thinkingEnabled,
searchEnabled: searchEnabled,
bufferContent: len(toolNames) > 0,
stripReferenceMarkers: stripReferenceMarkers,
toolNames: toolNames,
toolsRaw: toolsRaw,
history: history,
accumulator: assistantturn.NewAccumulator(assistantturn.AccumulatorOptions{
ThinkingEnabled: thinkingEnabled,
SearchEnabled: searchEnabled,
StripReferenceMarkers: stripReferenceMarkers,
}),
}
}
//nolint:unused // retained for native Gemini stream handling path.
func (s *geminiStreamRuntime) sendChunk(payload map[string]any) {
b, _ := json.Marshal(payload)
_, _ = s.w.Write([]byte("data: "))
_, _ = s.w.Write(b)
_, _ = s.w.Write([]byte("\n\n"))
if s.canFlush {
_ = s.rc.Flush()
}
}
//nolint:unused // retained for native Gemini stream handling path.
func (s *geminiStreamRuntime) onParsed(parsed sse.LineResult) streamengine.ParsedDecision {
if !parsed.Parsed {
return streamengine.ParsedDecision{}
}
if parsed.ResponseMessageID > 0 {
s.responseMessageID = parsed.ResponseMessageID
}
if parsed.ContentFilter || parsed.ErrorMessage != "" || parsed.Stop {
if parsed.ContentFilter {
s.contentFilter = true
}
return streamengine.ParsedDecision{Stop: true}
}
accumulated := s.accumulator.Apply(parsed)
for _, p := range accumulated.Parts {
if p.Type == "thinking" {
if p.VisibleText == "" || s.bufferContent {
continue
}
s.sendChunk(map[string]any{
"candidates": []map[string]any{
{
"index": 0,
"content": map[string]any{
"role": "model",
"parts": []map[string]any{{"text": p.VisibleText, "thought": true}},
},
},
},
"modelVersion": s.model,
})
continue
}
if p.RawText == "" || p.CitationOnly || p.VisibleText == "" {
continue
}
if s.bufferContent {
continue
}
s.sendChunk(map[string]any{
"candidates": []map[string]any{
{
"index": 0,
"content": map[string]any{
"role": "model",
"parts": []map[string]any{{"text": p.VisibleText}},
},
},
},
"modelVersion": s.model,
})
}
if s.history != nil {
rawText, text, rawThinking, thinking, detectionThinking := s.accumulator.Snapshot()
s.history.Progress(
responsehistory.ThinkingForArchive(rawThinking, detectionThinking, thinking),
responsehistory.TextForArchive(rawText, text),
)
}
return streamengine.ParsedDecision{ContentSeen: accumulated.ContentSeen}
}
//nolint:unused // retained for native Gemini stream handling path.
func (s *geminiStreamRuntime) finalize() {
rawText, text, rawThinking, thinking, detectionThinking := s.accumulator.Snapshot()
turn := assistantturn.BuildTurnFromStreamSnapshot(assistantturn.StreamSnapshot{
RawText: rawText,
VisibleText: text,
RawThinking: rawThinking,
VisibleThinking: thinking,
DetectionThinking: detectionThinking,
ContentFilter: s.contentFilter,
ResponseMessageID: s.responseMessageID,
}, assistantturn.BuildOptions{
Model: s.model,
Prompt: s.finalPrompt,
SearchEnabled: s.searchEnabled,
StripReferenceMarkers: s.stripReferenceMarkers,
ToolNames: s.toolNames,
ToolsRaw: s.toolsRaw,
})
outcome := assistantturn.FinalizeTurn(turn, assistantturn.FinalizeOptions{})
if s.history != nil {
s.history.Success(
http.StatusOK,
responsehistory.ThinkingForArchive(turn.RawThinking, turn.DetectionThinking, turn.Thinking),
responsehistory.TextForArchive(turn.RawText, turn.Text),
assistantturn.FinishReason(turn),
responsehistory.GenericUsage(turn),
)
}
if s.bufferContent {
parts := buildGeminiPartsFromTurn(turn)
s.sendChunk(map[string]any{
"candidates": []map[string]any{
{
"index": 0,
"content": map[string]any{
"role": "model",
"parts": parts,
},
},
},
"modelVersion": s.model,
})
}
s.sendChunk(map[string]any{
"candidates": []map[string]any{
{
"index": 0,
"content": map[string]any{
"role": "model",
"parts": []map[string]any{
{"text": ""},
},
},
"finishReason": "STOP",
},
},
"modelVersion": s.model,
"usageMetadata": map[string]any{
"promptTokenCount": outcome.Usage.InputTokens,
"candidatesTokenCount": outcome.Usage.OutputTokens,
"totalTokenCount": outcome.Usage.TotalTokens,
},
})
}
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