271 lines
8.5 KiB
Go
271 lines
8.5 KiB
Go
package flightlesssomething
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import (
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"context"
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"log"
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"math"
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"sort"
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"strconv"
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"strings"
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"sync"
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openai "github.com/sashabaranov/go-openai"
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)
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const systemMessage = `
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You are given PC benchmark data of several runs. All this data is visible in the website in a form of charts and your goal is to provide insights.
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You MUST:
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1. Write at max 3 sections (headers) - "Top runs", "Issues" (optional) and "Summary".
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2. In Issues section, Figure out if any of the run is significantly worse then others in the same benchmark. You MUST use ONLY the data provided to explain the difference, and your points must be based only on the data provided. If there are no issues - do not write this section. Do not make any guesses. Additional requirements: (a) validate if the same hardware/software was used (by using provided text fields, NOT the data), (b) do not speculate, but use numbers to back up your claims, (c) only write if it's an actual issue with FPS (everything else is just additional information).
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3. In Top runs section, provide which run has the (average) "Highest FPS", which has the "Smoothest FPS" (LOWEST std.dev. and variance of FPS value - LOWEST, NOT HIGHEST) and which is the best "Best overall" (preferrably lower std.dev./variance than higher FPS, but if slight decrease in stability gives significantly higher FPS - pick that one). NEVER consider runs that have significantly lower FPS or has other significant issues. Exclude runs from consideration if they are significantly worse than the rest (as it would be mentioned in issues section). Note that your goal is to pick winners and not do a comparison in this section. Include numbers to justify your claims.
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4. In Summary section, provide an overview of all runs. Mention which runs are similar and which are different. Mention which runs are better in terms of FPS and which are better in terms of stability. Mention if there are any issues and what could be the reason for them. In short - summarize whole benchmark.
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5. First 2 sections should be bullet points, no subpoints, only 1 bullet point per point, while summary should be a single paragraph.
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6. NEVER use actual numbers. Instead, use percentage in comparison to other runs.
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7. Use markdown, use code syntax for labels.
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`
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var (
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inProgressSummaries = map[uint]struct{}{}
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inProgressSummariesMux = &sync.Mutex{}
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)
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func generateSummary(b *Benchmark, bds []*BenchmarkData) {
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// Check if OpenAI integration is not enabled
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if openaiClient == nil {
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return
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}
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// Lock mutex, as integration is enabled and might be already in progress
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inProgressSummariesMux.Lock()
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// Check if generation is already in progress
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if _, ok := inProgressSummaries[b.ID]; ok {
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inProgressSummariesMux.Unlock()
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return
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}
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inProgressSummaries[b.ID] = struct{}{}
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inProgressSummariesMux.Unlock()
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// Create user prompt
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userPrompt := writeAIPrompt(bds, b.Title, b.Description)
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// Retrieve AI response
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resp, err := openaiClient.CreateChatCompletion(
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context.Background(),
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openai.ChatCompletionRequest{
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Model: openaiModel,
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Temperature: 0.0,
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Messages: []openai.ChatCompletionMessage{
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{Role: openai.ChatMessageRoleSystem, Content: systemMessage},
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{Role: openai.ChatMessageRoleUser, Content: userPrompt},
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},
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},
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)
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if err != nil {
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log.Println("Failed to generate AI summary:", err)
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return
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}
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db.Model(&Benchmark{}).Where("id = ?", b.ID).Update("AiSummary", resp.Choices[0].Message.Content)
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// Update status
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inProgressSummariesMux.Lock()
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delete(inProgressSummaries, b.ID)
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inProgressSummariesMux.Unlock()
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}
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func writeAIPrompt(bds []*BenchmarkData, bdTitle, bdDescription string) string {
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sb := strings.Builder{}
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sb.WriteString("Benchmark title: ")
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sb.WriteString(bdTitle)
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sb.WriteString("\n")
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sb.WriteString("Benchmark description: \n")
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sb.WriteString(bdDescription)
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sb.WriteString("\n\n")
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sb.WriteString("Benchmark contains ")
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sb.WriteString(strconv.Itoa(len(bds)))
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sb.WriteString(" runs:\n")
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for _, benchmarkRun := range bds {
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sb.WriteString("\nLabel: ")
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sb.WriteString(benchmarkRun.Label)
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sb.WriteString("\n")
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sb.WriteString("OS: ")
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sb.WriteString(benchmarkRun.SpecOS)
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sb.WriteString("\n")
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sb.WriteString("GPU: ")
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sb.WriteString(benchmarkRun.SpecGPU)
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sb.WriteString("\n")
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sb.WriteString("CPU: ")
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sb.WriteString(benchmarkRun.SpecCPU)
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sb.WriteString("\n")
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sb.WriteString("RAM: ")
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sb.WriteString(benchmarkRun.SpecRAM)
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sb.WriteString("\n")
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sb.WriteString("Linux kernel: ")
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sb.WriteString(benchmarkRun.SpecLinuxKernel)
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sb.WriteString("\n")
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sb.WriteString("Linux scheduler: ")
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sb.WriteString(benchmarkRun.SpecLinuxScheduler)
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sb.WriteString("\n")
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// FPS
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stats := calculateAIPromptArrayStats(benchmarkRun.DataFPS)
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sb.WriteString("FPS: ")
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sb.WriteString(stats.String())
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sb.WriteString("\n")
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// Frame time
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stats = calculateAIPromptArrayStats(benchmarkRun.DataFrameTime)
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sb.WriteString("Frame time: ")
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sb.WriteString(stats.String())
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sb.WriteString("\n")
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// CPU load
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stats = calculateAIPromptArrayStats(benchmarkRun.DataCPULoad)
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sb.WriteString("CPU load: ")
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sb.WriteString(stats.String())
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sb.WriteString("\n")
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// GPU load
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stats = calculateAIPromptArrayStats(benchmarkRun.DataGPULoad)
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sb.WriteString("GPU load: ")
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sb.WriteString(stats.String())
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sb.WriteString("\n")
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// CPU temp
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stats = calculateAIPromptArrayStats(benchmarkRun.DataCPUTemp)
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sb.WriteString("CPU temp: ")
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sb.WriteString(stats.String())
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sb.WriteString("\n")
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// GPU temp
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stats = calculateAIPromptArrayStats(benchmarkRun.DataGPUTemp)
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sb.WriteString("GPU temp: ")
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sb.WriteString(stats.String())
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sb.WriteString("\n")
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// GPU core clock
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stats = calculateAIPromptArrayStats(benchmarkRun.DataGPUCoreClock)
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sb.WriteString("GPU core clock: ")
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sb.WriteString(stats.String())
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sb.WriteString("\n")
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// GPU mem clock
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stats = calculateAIPromptArrayStats(benchmarkRun.DataGPUMemClock)
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sb.WriteString("GPU mem clock: ")
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sb.WriteString(stats.String())
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sb.WriteString("\n")
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// GPU VRAM used
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stats = calculateAIPromptArrayStats(benchmarkRun.DataGPUVRAMUsed)
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sb.WriteString("GPU VRAM used: ")
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sb.WriteString(stats.String())
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sb.WriteString("\n")
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// GPU power
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stats = calculateAIPromptArrayStats(benchmarkRun.DataGPUPower)
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sb.WriteString("GPU power: ")
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sb.WriteString(stats.String())
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sb.WriteString("\n")
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// RAM used
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stats = calculateAIPromptArrayStats(benchmarkRun.DataRAMUsed)
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sb.WriteString("RAM used: ")
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sb.WriteString(stats.String())
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sb.WriteString("\n")
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// Swap used
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stats = calculateAIPromptArrayStats(benchmarkRun.DataSwapUsed)
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sb.WriteString("Swap used: ")
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sb.WriteString(stats.String())
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sb.WriteString("\n")
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}
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return sb.String()
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}
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type AIPromptArrayStats struct {
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Count int
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Lowest float64
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Low1Percent float64
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Mean float64
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Median float64
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Top97Percent float64
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Highest float64
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StdDev float64
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Variance float64
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}
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func calculateAIPromptArrayStats(data []float64) AIPromptArrayStats {
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if len(data) == 0 {
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return AIPromptArrayStats{}
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}
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sort.Float64s(data)
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count := len(data)
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lowest := data[0]
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highest := data[count-1]
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low1PercentIndex := int(math.Ceil(0.01*float64(count))) - 1
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if low1PercentIndex < 0 {
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low1PercentIndex = 0
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}
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low1Percent := data[low1PercentIndex]
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top97PercentIndex := int(math.Ceil(0.97*float64(count))) - 1
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if top97PercentIndex < 0 {
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top97PercentIndex = 0
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}
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top97Percent := data[top97PercentIndex]
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mean := 0.0
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for _, value := range data {
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mean += value
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}
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mean /= float64(count)
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median := 0.0
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if count%2 == 0 {
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median = (data[count/2-1] + data[count/2]) / 2
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} else {
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median = data[count/2]
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}
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variance := 0.0
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for _, value := range data {
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variance += (value - mean) * (value - mean)
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}
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variance /= float64(count)
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stdDev := math.Sqrt(variance)
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return AIPromptArrayStats{
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Count: count,
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Lowest: lowest,
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Low1Percent: low1Percent,
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Mean: mean,
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Median: median,
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Top97Percent: top97Percent,
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Highest: highest,
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StdDev: stdDev,
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Variance: variance,
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}
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}
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func (as AIPromptArrayStats) String() string {
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return strings.Join([]string{
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"Count: " + strconv.Itoa(as.Count),
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"Lowest: " + strconv.FormatFloat(as.Lowest, 'f', -1, 64),
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"Low1Percent: " + strconv.FormatFloat(as.Low1Percent, 'f', -1, 64),
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"Mean: " + strconv.FormatFloat(as.Mean, 'f', -1, 64),
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"Median: " + strconv.FormatFloat(as.Median, 'f', -1, 64),
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"Top97Percent: " + strconv.FormatFloat(as.Top97Percent, 'f', -1, 64),
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"Highest: " + strconv.FormatFloat(as.Highest, 'f', -1, 64),
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"StdDev: " + strconv.FormatFloat(as.StdDev, 'f', -1, 64),
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"Variance: " + strconv.FormatFloat(as.Variance, 'f', -1, 64),
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}, ", ")
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}
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