package llmfs
import (
"context"
"fmt"
"github.com/NERVsystems/llm9p/internal/llm"
)
// MockBackend implements llm.Backend for testing
type MockBackend struct {
model string
temperature float64
systemPrompt string
prefill string
messages []llm.Message
lastTokens int
totalTokens int
contextLimit int
thinkingTokens int
compactCalled bool
compactError error
askResponse string
askError error
}
func NewMockBackend() *MockBackend {
return &MockBackend{
model: "mock-model",
temperature: 0.7,
contextLimit: 200000,
messages: make([]llm.Message, 0),
}
}
func (m *MockBackend) Model() string { return m.model }
func (m *MockBackend) SetModel(model string) { m.model = model }
func (m *MockBackend) Temperature() float64 { return m.temperature }
func (m *MockBackend) SetTemperature(temp float64) error {
if temp < 0 || temp > 2 {
return fmt.Errorf("invalid temperature")
}
m.temperature = temp
return nil
}
func (m *MockBackend) SystemPrompt() string { return m.systemPrompt }
func (m *MockBackend) SetSystemPrompt(prompt string) { m.systemPrompt = prompt }
func (m *MockBackend) ThinkingTokens() int { return m.thinkingTokens }
func (m *MockBackend) SetThinkingTokens(tokens int) { m.thinkingTokens = tokens }
func (m *MockBackend) Prefill() string { return m.prefill }
func (m *MockBackend) SetPrefill(prefill string) { m.prefill = prefill }
func (m *MockBackend) LastTokens() int { return m.lastTokens }
func (m *MockBackend) TotalTokens() int { return m.totalTokens }
func (m *MockBackend) ContextLimit() int { return m.contextLimit }
func (m *MockBackend) Compact(ctx context.Context) error {
m.compactCalled = true
if m.compactError != nil {
return m.compactError
}
// Simulate compaction - reduce tokens
m.totalTokens = m.totalTokens / 4
m.messages = []llm.Message{{Role: "system", Content: "compacted summary"}}
return nil
}
func (m *MockBackend) Messages() []llm.Message {
result := make([]llm.Message, len(m.messages))
copy(result, m.messages)
return result
}
func (m *MockBackend) MessagesJSON() ([]byte, error) {
return []byte("[]"), nil
}
func (m *MockBackend) AddSystemMessage(content string) {
m.messages = append([]llm.Message{{Role: "system", Content: content}}, m.messages...)
}
func (m *MockBackend) Reset() {
m.messages = make([]llm.Message, 0)
m.lastTokens = 0
m.totalTokens = 0
}
func (m *MockBackend) Ask(ctx context.Context, prompt string) (string, error) {
if m.askError != nil {
return "", m.askError
}
m.messages = append(m.messages, llm.Message{Role: "user", Content: prompt})
m.messages = append(m.messages, llm.Message{Role: "assistant", Content: m.askResponse})
m.lastTokens = len(prompt) + len(m.askResponse)
m.totalTokens += m.lastTokens
return m.askResponse, nil
}
func (m *MockBackend) AskWithHistory(ctx context.Context, history []llm.Message, prompt string) (string, int, error) {
if m.askError != nil {
return "", 0, m.askError
}
tokens := len(prompt) + len(m.askResponse)
return m.askResponse, tokens, nil
}
func (m *MockBackend) StartStream(ctx context.Context, prompt string) error {
return fmt.Errorf("streaming not implemented in mock")
}
func (m *MockBackend) ReadStreamChunk() (string, bool) {
return "", false
}
func (m *MockBackend) IsStreaming() bool {
return false
}
func (m *MockBackend) WaitStream() {}
// Verify MockBackend implements Backend
var _ llm.Backend = (*MockBackend)(nil)