* test(relayconvert): add golden snapshot matrix and relaykit boundary guard Phase 0 of the relaykit extraction plan: pin byte-level output of every registered (from,to) request/response/stream conversion route, and forbid kit-bound packages from growing host-only imports. * wip(relayconvert): drop gin.Context from converter signatures; add convmeta draft Phase 1 in progress: relayconvert now takes context.Context; host media resolver adapts gin.Context back at the service boundary. * refactor(relayconvert): decouple converters from RelayInfo, gin, and settings Phase 1 of the relaykit extraction plan: - converters now depend on convmeta.Meta (implemented by RelayInfo) instead of *relaycommon.RelayInfo; ClaudeConvertInfo and the format guesser move to convmeta with aliases left behind - host settings reach converters via a convmeta.Options snapshot built in RelayInfo.ConvOptions; no more model_setting/reasoning global reads inside the conversion layer - effort-suffix helpers move to service/relayconvert/reasoning (old package forwards); chat-to-responses upgrade policy moves to service (host routing logic, not conversion) - golden conversion matrix unchanged * test(relayconvert): tighten boundary — kit packages now free of gin/setting imports * refactor(dto): drop gin and logger dependencies Phase 2 (part 1): dto.Request.IsStream now takes *http.Request instead of *gin.Context (Gemini's impl reads query/path off the std request); dto's three logger calls become common.SysError. Boundary test allowlist is now empty — kit-bound packages import no gin/setting/logger/model. * refactor(kit): extract dependency-free kitutil; dto/types/relayconvert stop importing common Phase 2 of the relaykit extraction plan: - new service/relayconvert/kitutil holds the pure helpers the kit needs (JSON wrappers, pointer/string/uuid/timestamp utils, MaskSensitiveInfo, pluggable LogInfo/LogError hooks, Debug flag) - dto, types, and all relayconvert packages now use kitutil; their only remaining internal deps are dto/types/constant - common keeps every original symbol (MaskSensitiveInfo delegates to kitutil) so host code is untouched; main.go routes kit logging into common.SysLog/SysError and mirrors DebugEnabled - golden conversion matrix unchanged * refactor(kit): move EndpointType/FinishReason to types; OpenRouter dialect via Options Kit packages (dto/types/relayconvert/reasonmap) no longer import constant: - EndpointType and finish-reason values live in types; constant re-exports - the OpenRouter special-case in claude->openai request conversion reads Options.OpenRouterDialect, set by the host from the channel type; InitChannelMeta invalidates the cached snapshot on channel switch * refactor: extract relaykit submodule (dto/types/relayconvert/reasonmap) Phase 3 of the relaykit extraction plan: - new go module github.com/QuantumNous/new-api/relaykit containing dto (minus task family), types, relayconvert (with convmeta/kitutil/reasoning), and reasonmap; host consumes it via require + replace, go.work for dev - task-family dto (task/suno/midjourney/video) stays in the host dto package; dual-consumer host files alias it as taskdto - relaykit builds and tests standalone (GOWORK=off): no host imports, no gin, no DB, no settings - golden conversion matrix unchanged * build(docker): copy relaykit/go.mod before go mod download The local-replace submodule's go.mod must exist inside the build context for the main module graph to resolve. * fix: address relaykit extraction regressions * fix: address relaykit review regressions * docs: document Meta nil receiver contract * fix(relaykit): fail OpenAI→Claude conversion without max_tokens; reject negative default_max_tokens The Claude Messages API requires max_tokens (omitting it is a 400 "Field required"), but with a nil Options.Claude.DefaultMaxTokens hook the converters silently emitted a request the upstream is guaranteed to reject. Both OpenAI Chat and Responses → Claude conversions now return sharedclaude.ErrMissingMaxTokens when no path (client value, default hook, thinking-adapter floor) supplied one. Unreachable in the host, which always configures the hook. Host side, claude.default_max_tokens now rejects negative values at the option API before persisting — they would wrap into huge unsigned values during conversion. Zero stays allowed: the current API treats max_tokens: 0 as cache pre-warming. * fix: make Gemini safety settings read path race-free
476 lines
17 KiB
Go
476 lines
17 KiB
Go
package relayconvert
|
|
|
|
// golden_test.go pins the byte-level output of every registered (from, to)
|
|
// conversion route so the relaykit extraction refactor can prove behavior is
|
|
// unchanged at each phase. Run with -update to regenerate testdata/golden.
|
|
//
|
|
// Volatile values (generated UUID-based ids, unix timestamps) are normalized
|
|
// before comparison so the snapshots are deterministic.
|
|
|
|
import (
|
|
"context"
|
|
"encoding/json"
|
|
"flag"
|
|
"fmt"
|
|
"os"
|
|
"path/filepath"
|
|
"regexp"
|
|
"testing"
|
|
|
|
"github.com/QuantumNous/new-api/relaykit/dto"
|
|
"github.com/QuantumNous/new-api/relaykit/relayconvert/convmeta"
|
|
"github.com/QuantumNous/new-api/relaykit/types"
|
|
"github.com/stretchr/testify/require"
|
|
)
|
|
|
|
var updateGolden = flag.Bool("update", false, "update golden files")
|
|
|
|
// TestMain installs a deterministic media resolver so image-bearing fixtures
|
|
// convert without network access.
|
|
func TestMain(m *testing.M) {
|
|
flag.Parse()
|
|
SetMediaResolver(MediaResolver{
|
|
GetBase64Data: func(c context.Context, source types.FileSource, reason ...string) (string, string, error) {
|
|
return "aGVsbG8=", "image/png", nil
|
|
},
|
|
DecodeBase64FileData: func(base64String string) (string, string, error) {
|
|
return "aGVsbG8=", "image/png", nil
|
|
},
|
|
})
|
|
os.Exit(m.Run())
|
|
}
|
|
|
|
const goldenDir = "testdata/golden"
|
|
|
|
var (
|
|
hex32Re = regexp.MustCompile(`[0-9a-f]{32}`)
|
|
timestampRe = regexp.MustCompile(`("created(_at)?"\s*:\s*)\d{9,}`)
|
|
)
|
|
|
|
func normalizeVolatile(data []byte) []byte {
|
|
data = hex32Re.ReplaceAll(data, []byte("<uuid>"))
|
|
data = timestampRe.ReplaceAll(data, []byte(`${1}0`))
|
|
return data
|
|
}
|
|
|
|
func marshalGolden(t *testing.T, value any) []byte {
|
|
t.Helper()
|
|
data, err := json.MarshalIndent(value, "", " ")
|
|
require.NoError(t, err)
|
|
return append(normalizeVolatile(data), '\n')
|
|
}
|
|
|
|
func checkGolden(t *testing.T, name string, got []byte) {
|
|
t.Helper()
|
|
path := filepath.Join(goldenDir, name+".golden.json")
|
|
if *updateGolden {
|
|
require.NoError(t, os.MkdirAll(filepath.Dir(path), 0o755))
|
|
require.NoError(t, os.WriteFile(path, got, 0o644))
|
|
return
|
|
}
|
|
want, err := os.ReadFile(path)
|
|
require.NoError(t, err, "golden file missing, run: go test ./service/relayconvert -run TestGolden -update")
|
|
require.Equal(t, string(want), string(got), "conversion output drifted from golden snapshot %s", path)
|
|
}
|
|
|
|
// goldenInfo mirrors the host's default converter options (new-api's
|
|
// model_setting defaults at the time the snapshots were recorded) so the
|
|
// golden files stay comparable across the extraction.
|
|
func goldenInfo() convmeta.Meta {
|
|
return &convmeta.Values{
|
|
ChannelMetaAttached: true,
|
|
UpstreamModelName: "upstream-model",
|
|
ClaudeConvertInfo: &convmeta.ClaudeConvertInfo{
|
|
LastMessagesType: convmeta.LastMessageTypeNone,
|
|
},
|
|
Options: &convmeta.Options{
|
|
Gemini: convmeta.GeminiOptions{
|
|
ThinkingAdapterBudgetTokensPercentage: 0.6,
|
|
FunctionCallThoughtSignatureEnabled: true,
|
|
SafetySetting: func(string) string { return "OFF" },
|
|
},
|
|
},
|
|
}
|
|
}
|
|
|
|
// ---------------------------------------------------------------------------
|
|
// Fixtures: one representative rich request per source format
|
|
// ---------------------------------------------------------------------------
|
|
|
|
// Fixtures are built by unmarshalling wire-format JSON into the dto types —
|
|
// the same path production requests take — so they stay valid as struct
|
|
// internals evolve.
|
|
func fixtureRequests() map[types.RelayFormat]any {
|
|
openai := &dto.GeneralOpenAIRequest{}
|
|
mustUnmarshalFixture(`{
|
|
"model": "gpt-test",
|
|
"max_tokens": 1024,
|
|
"stream": true,
|
|
"messages": [
|
|
{"role": "system", "content": "You are a helpful assistant."},
|
|
{"role": "user", "content": [
|
|
{"type": "text", "text": "What is in this image?"},
|
|
{"type": "image_url", "image_url": {"url": "https://example.com/cat.png", "detail": "high"}}
|
|
]},
|
|
{"role": "assistant", "tool_calls": [{"id": "call_abc", "type": "function", "function": {"name": "get_weather", "arguments": "{\"city\":\"Paris\"}"}}]},
|
|
{"role": "tool", "tool_call_id": "call_abc", "content": "15 degrees"},
|
|
{"role": "user", "content": "Summarize."}
|
|
],
|
|
"tools": [{"type": "function", "function": {"name": "get_weather", "description": "Get weather by city", "parameters": {"type": "object", "properties": {"city": {"type": "string"}}, "required": ["city"]}}}],
|
|
"tool_choice": "auto"
|
|
}`, openai)
|
|
|
|
claude := &dto.ClaudeRequest{}
|
|
mustUnmarshalFixture(`{
|
|
"model": "claude-test",
|
|
"max_tokens": 1024,
|
|
"stream": true,
|
|
"system": "You are a helpful assistant.",
|
|
"messages": [
|
|
{"role": "user", "content": [
|
|
{"type": "text", "text": "What is in this image?"},
|
|
{"type": "image", "source": {"type": "base64", "media_type": "image/png", "data": "aGVsbG8="}}
|
|
]},
|
|
{"role": "assistant", "content": [
|
|
{"type": "thinking", "thinking": "Let me look.", "signature": "sig"},
|
|
{"type": "tool_use", "id": "toolu_abc", "name": "get_weather", "input": {"city": "Paris"}}
|
|
]},
|
|
{"role": "user", "content": [{"type": "tool_result", "tool_use_id": "toolu_abc", "content": "15 degrees"}]}
|
|
],
|
|
"tools": [{"name": "get_weather", "description": "Get weather by city", "input_schema": {"type": "object", "properties": {"city": {"type": "string"}}, "required": ["city"]}}],
|
|
"thinking": {"type": "enabled", "budget_tokens": 512}
|
|
}`, claude)
|
|
|
|
gemini := &dto.GeminiChatRequest{}
|
|
mustUnmarshalFixture(`{
|
|
"contents": [
|
|
{"role": "user", "parts": [
|
|
{"text": "What is in this image?"},
|
|
{"inlineData": {"mimeType": "image/png", "data": "aGVsbG8="}}
|
|
]},
|
|
{"role": "model", "parts": [{"functionCall": {"name": "get_weather", "args": {"city": "Paris"}}}]},
|
|
{"role": "user", "parts": [{"functionResponse": {"name": "get_weather", "response": {"result": "15 degrees"}}}]}
|
|
],
|
|
"systemInstruction": {"parts": [{"text": "You are a helpful assistant."}]},
|
|
"tools": [{"functionDeclarations": [{"name": "get_weather", "description": "Get weather by city", "parameters": {"type": "object", "properties": {"city": {"type": "string"}}, "required": ["city"]}}]}],
|
|
"generationConfig": {"maxOutputTokens": 1024, "temperature": 0.7}
|
|
}`, gemini)
|
|
|
|
responses := &dto.OpenAIResponsesRequest{}
|
|
mustUnmarshalFixture(`{
|
|
"model": "gpt-test",
|
|
"stream": true,
|
|
"max_output_tokens": 1024,
|
|
"instructions": "You are a helpful assistant.",
|
|
"input": [
|
|
{"type": "message", "role": "user", "content": [
|
|
{"type": "input_text", "text": "What is in this image?"},
|
|
{"type": "input_image", "image_url": "https://example.com/cat.png"}
|
|
]},
|
|
{"type": "function_call", "call_id": "call_abc", "name": "get_weather", "arguments": "{\"city\":\"Paris\"}"},
|
|
{"type": "function_call_output", "call_id": "call_abc", "output": "15 degrees"}
|
|
],
|
|
"tools": [{"type": "function", "name": "get_weather", "description": "Get weather by city", "parameters": {"type": "object", "properties": {"city": {"type": "string"}}, "required": ["city"]}}]
|
|
}`, responses)
|
|
|
|
return map[types.RelayFormat]any{
|
|
types.RelayFormatOpenAI: openai,
|
|
types.RelayFormatClaude: claude,
|
|
types.RelayFormatGemini: gemini,
|
|
types.RelayFormatOpenAIResponses: responses,
|
|
}
|
|
}
|
|
|
|
// ---------------------------------------------------------------------------
|
|
// Fixtures: one representative non-stream response per source format
|
|
// ---------------------------------------------------------------------------
|
|
|
|
func fixtureResponses() map[types.RelayFormat]any {
|
|
openai := &dto.OpenAITextResponse{}
|
|
mustUnmarshalFixture(`{
|
|
"id": "chatcmpl-fixed",
|
|
"object": "chat.completion",
|
|
"created": 1700000000,
|
|
"model": "gpt-test",
|
|
"choices": [{
|
|
"index": 0,
|
|
"message": {
|
|
"role": "assistant",
|
|
"content": "The answer is 42.",
|
|
"reasoning_content": "Deep thought.",
|
|
"tool_calls": [{"id": "call_abc", "type": "function", "function": {"name": "get_weather", "arguments": "{\"city\":\"Paris\"}"}}]
|
|
},
|
|
"finish_reason": "tool_calls"
|
|
}],
|
|
"usage": {
|
|
"prompt_tokens": 10,
|
|
"completion_tokens": 5,
|
|
"total_tokens": 15,
|
|
"prompt_tokens_details": {"cached_tokens": 3},
|
|
"completion_tokens_details": {"reasoning_tokens": 2}
|
|
}
|
|
}`, openai)
|
|
|
|
claude := &dto.ClaudeResponse{}
|
|
mustUnmarshalFixture(`{
|
|
"id": "msg_fixed",
|
|
"type": "message",
|
|
"role": "assistant",
|
|
"model": "claude-test",
|
|
"content": [
|
|
{"type": "text", "text": "The answer is 42."},
|
|
{"type": "tool_use", "id": "toolu_abc", "name": "get_weather", "input": {"city": "Paris"}}
|
|
],
|
|
"stop_reason": "tool_use",
|
|
"usage": {"input_tokens": 10, "output_tokens": 5, "cache_read_input_tokens": 3, "cache_creation_input_tokens": 2}
|
|
}`, claude)
|
|
|
|
gemini := &dto.GeminiChatResponse{}
|
|
mustUnmarshalFixture(`{
|
|
"candidates": [{
|
|
"finishReason": "STOP",
|
|
"content": {
|
|
"role": "model",
|
|
"parts": [
|
|
{"text": "The answer is 42."},
|
|
{"functionCall": {"name": "get_weather", "args": {"city": "Paris"}}}
|
|
]
|
|
}
|
|
}],
|
|
"usageMetadata": {"promptTokenCount": 10, "candidatesTokenCount": 5, "thoughtsTokenCount": 2, "totalTokenCount": 15}
|
|
}`, gemini)
|
|
|
|
responses := &dto.OpenAIResponsesResponse{}
|
|
mustUnmarshalFixture(`{
|
|
"id": "resp_fixed",
|
|
"object": "response",
|
|
"model": "gpt-test",
|
|
"status": "completed",
|
|
"output": [
|
|
{"type": "reasoning", "summary": [{"type": "summary_text", "text": "Deep thought."}]},
|
|
{"type": "message", "role": "assistant", "status": "completed", "content": [{"type": "output_text", "text": "The answer is 42."}]},
|
|
{"type": "function_call", "call_id": "call_abc", "name": "get_weather", "arguments": "{\"city\":\"Paris\"}", "status": "completed"}
|
|
],
|
|
"usage": {"input_tokens": 10, "output_tokens": 5, "total_tokens": 15}
|
|
}`, responses)
|
|
|
|
return map[types.RelayFormat]any{
|
|
types.RelayFormatOpenAI: openai,
|
|
types.RelayFormatClaude: claude,
|
|
types.RelayFormatGemini: gemini,
|
|
types.RelayFormatOpenAIResponses: responses,
|
|
}
|
|
}
|
|
|
|
// ---------------------------------------------------------------------------
|
|
// Fixtures: stream chunk sequences per source format
|
|
// ---------------------------------------------------------------------------
|
|
|
|
func fixtureStreamChunks() map[types.RelayFormat][]any {
|
|
return map[types.RelayFormat][]any{
|
|
types.RelayFormatOpenAI: {
|
|
chatStreamChunk(`{"id":"chatcmpl-fixed","object":"chat.completion.chunk","created":1700000000,"model":"gpt-test","choices":[{"index":0,"delta":{"role":"assistant","content":"Hello"}}]}`),
|
|
chatStreamChunk(`{"id":"chatcmpl-fixed","object":"chat.completion.chunk","created":1700000000,"model":"gpt-test","choices":[{"index":0,"delta":{"content":" world"}}]}`),
|
|
chatStreamChunk(`{"id":"chatcmpl-fixed","object":"chat.completion.chunk","created":1700000000,"model":"gpt-test","choices":[{"index":0,"delta":{},"finish_reason":"stop"}],"usage":{"prompt_tokens":4,"completion_tokens":2,"total_tokens":6}}`),
|
|
},
|
|
types.RelayFormatClaude: {
|
|
claudeStreamChunk(`{"type":"message_start","message":{"id":"msg_fixed","type":"message","role":"assistant","model":"claude-test","content":[],"usage":{"input_tokens":4,"output_tokens":0}}}`),
|
|
claudeStreamChunk(`{"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}`),
|
|
claudeStreamChunk(`{"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Hello world"}}`),
|
|
claudeStreamChunk(`{"type":"content_block_stop","index":0}`),
|
|
claudeStreamChunk(`{"type":"message_delta","delta":{"stop_reason":"end_turn"},"usage":{"output_tokens":2}}`),
|
|
claudeStreamChunk(`{"type":"message_stop"}`),
|
|
},
|
|
types.RelayFormatGemini: {
|
|
geminiStreamChunk(`{"candidates":[{"content":{"role":"model","parts":[{"text":"Hello"}]}}]}`),
|
|
geminiStreamChunk(`{"candidates":[{"finishReason":"STOP","content":{"role":"model","parts":[{"text":" world"}]}}],"usageMetadata":{"promptTokenCount":4,"candidatesTokenCount":2,"totalTokenCount":6}}`),
|
|
},
|
|
types.RelayFormatOpenAIResponses: {
|
|
responsesStreamChunk(`{"type":"response.output_text.delta","delta":"Hello"}`),
|
|
responsesStreamChunk(`{"type":"response.output_text.delta","delta":" world"}`),
|
|
responsesStreamChunk(`{"type":"response.completed","response":{"id":"resp_fixed","object":"response","status":"completed","model":"gpt-test","usage":{"input_tokens":4,"output_tokens":2,"total_tokens":6}}}`),
|
|
},
|
|
}
|
|
}
|
|
|
|
// ---------------------------------------------------------------------------
|
|
// Tests
|
|
// ---------------------------------------------------------------------------
|
|
|
|
func allFormats() []types.RelayFormat {
|
|
return []types.RelayFormat{
|
|
types.RelayFormatOpenAI,
|
|
types.RelayFormatClaude,
|
|
types.RelayFormatGemini,
|
|
types.RelayFormatOpenAIResponses,
|
|
}
|
|
}
|
|
|
|
func TestGoldenRequestConversionMatrix(t *testing.T) {
|
|
requests := fixtureRequests()
|
|
for _, from := range allFormats() {
|
|
for _, to := range allFormats() {
|
|
if from == to {
|
|
continue
|
|
}
|
|
if _, ok := lookupRequestRoute(from, to); !ok {
|
|
t.Fatalf("request route %s -> %s is no longer registered", from, to)
|
|
}
|
|
name := fmt.Sprintf("request/%s_to_%s", from, to)
|
|
t.Run(name, func(t *testing.T) {
|
|
result, err := ConvertRequest(nil, goldenInfo(), to, deepCopyFixture(t, requests[from]))
|
|
require.NoError(t, err)
|
|
checkGolden(t, name, marshalGolden(t, result.Value))
|
|
})
|
|
}
|
|
}
|
|
}
|
|
|
|
func TestGoldenResponseConversionMatrix(t *testing.T) {
|
|
responses := fixtureResponses()
|
|
for _, from := range allFormats() {
|
|
for _, to := range allFormats() {
|
|
if from == to {
|
|
continue
|
|
}
|
|
name := fmt.Sprintf("response/%s_to_%s", from, to)
|
|
t.Run(name, func(t *testing.T) {
|
|
result, err := ConvertResponse(nil, goldenInfo(), to, deepCopyFixture(t, responses[from]))
|
|
require.NoError(t, err)
|
|
checkGolden(t, name, marshalGolden(t, result.Value))
|
|
})
|
|
}
|
|
}
|
|
}
|
|
|
|
func TestGoldenStreamConversionMatrix(t *testing.T) {
|
|
chunkSets := fixtureStreamChunks()
|
|
for _, from := range allFormats() {
|
|
for _, to := range allFormats() {
|
|
if from == to {
|
|
continue
|
|
}
|
|
name := fmt.Sprintf("stream/%s_to_%s", from, to)
|
|
t.Run(name, func(t *testing.T) {
|
|
info := goldenInfo()
|
|
state, err := NewResponseStreamState(from, to, ResponseStreamOptions{
|
|
ID: "stream_fixed",
|
|
Model: "stream-model",
|
|
})
|
|
require.NoError(t, err)
|
|
|
|
var outputs []any
|
|
for _, chunk := range chunkSets[from] {
|
|
results, err := ConvertStreamResponseChunk(nil, info, state, deepCopyFixture(t, chunk))
|
|
require.NoError(t, err)
|
|
for _, r := range results {
|
|
outputs = append(outputs, r.Value)
|
|
}
|
|
}
|
|
finals, err := FinalizeStreamResponse(nil, info, state)
|
|
require.NoError(t, err)
|
|
for _, r := range finals {
|
|
outputs = append(outputs, r.Value)
|
|
}
|
|
|
|
snapshot := map[string]any{
|
|
"events": outputs,
|
|
"usage": state.Usage(),
|
|
}
|
|
checkGolden(t, name, marshalGolden(t, snapshot))
|
|
})
|
|
}
|
|
}
|
|
}
|
|
|
|
// ---------------------------------------------------------------------------
|
|
// Fixture helpers
|
|
// ---------------------------------------------------------------------------
|
|
|
|
func rawJSON(s string) json.RawMessage {
|
|
return json.RawMessage(s)
|
|
}
|
|
|
|
// deepCopyFixture guards against converters mutating shared fixture state
|
|
// between subtests (JSON round-trip through the concrete type).
|
|
func deepCopyFixture(t *testing.T, v any) any {
|
|
t.Helper()
|
|
data, err := json.Marshal(v)
|
|
require.NoError(t, err)
|
|
switch v.(type) {
|
|
case *dto.GeneralOpenAIRequest:
|
|
out := &dto.GeneralOpenAIRequest{}
|
|
require.NoError(t, json.Unmarshal(data, out))
|
|
return out
|
|
case *dto.ClaudeRequest:
|
|
out := &dto.ClaudeRequest{}
|
|
require.NoError(t, json.Unmarshal(data, out))
|
|
return out
|
|
case *dto.GeminiChatRequest:
|
|
out := &dto.GeminiChatRequest{}
|
|
require.NoError(t, json.Unmarshal(data, out))
|
|
return out
|
|
case *dto.OpenAIResponsesRequest:
|
|
out := &dto.OpenAIResponsesRequest{}
|
|
require.NoError(t, json.Unmarshal(data, out))
|
|
return out
|
|
case *dto.OpenAITextResponse:
|
|
out := &dto.OpenAITextResponse{}
|
|
require.NoError(t, json.Unmarshal(data, out))
|
|
return out
|
|
case *dto.ClaudeResponse:
|
|
out := &dto.ClaudeResponse{}
|
|
require.NoError(t, json.Unmarshal(data, out))
|
|
return out
|
|
case *dto.GeminiChatResponse:
|
|
out := &dto.GeminiChatResponse{}
|
|
require.NoError(t, json.Unmarshal(data, out))
|
|
return out
|
|
case *dto.OpenAIResponsesResponse:
|
|
out := &dto.OpenAIResponsesResponse{}
|
|
require.NoError(t, json.Unmarshal(data, out))
|
|
return out
|
|
case *dto.ChatCompletionsStreamResponse:
|
|
out := &dto.ChatCompletionsStreamResponse{}
|
|
require.NoError(t, json.Unmarshal(data, out))
|
|
return out
|
|
case *dto.ResponsesStreamResponse:
|
|
out := &dto.ResponsesStreamResponse{}
|
|
require.NoError(t, json.Unmarshal(data, out))
|
|
return out
|
|
default:
|
|
t.Fatalf("deepCopyFixture: unsupported fixture type %T", v)
|
|
return nil
|
|
}
|
|
}
|
|
|
|
func chatStreamChunk(raw string) *dto.ChatCompletionsStreamResponse {
|
|
var r dto.ChatCompletionsStreamResponse
|
|
mustUnmarshalFixture(raw, &r)
|
|
return &r
|
|
}
|
|
|
|
func claudeStreamChunk(raw string) *dto.ClaudeResponse {
|
|
var r dto.ClaudeResponse
|
|
mustUnmarshalFixture(raw, &r)
|
|
return &r
|
|
}
|
|
|
|
func geminiStreamChunk(raw string) *dto.GeminiChatResponse {
|
|
var r dto.GeminiChatResponse
|
|
mustUnmarshalFixture(raw, &r)
|
|
return &r
|
|
}
|
|
|
|
func responsesStreamChunk(raw string) *dto.ResponsesStreamResponse {
|
|
var r dto.ResponsesStreamResponse
|
|
mustUnmarshalFixture(raw, &r)
|
|
return &r
|
|
}
|
|
|
|
func mustUnmarshalFixture(raw string, out any) {
|
|
if err := json.Unmarshal([]byte(raw), out); err != nil {
|
|
panic(fmt.Sprintf("bad fixture JSON: %v", err))
|
|
}
|
|
}
|