feat(dashboard): migrate from groq to gemini
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use gpt-oss-120b on groq instead of gemini because of more generous rate limits
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184
apps/backend/test-groq-weather.ts
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184
apps/backend/test-groq-weather.ts
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/**
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* Test script to verify Groq API integration for weather descriptions
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*/
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const apiKey = process.env.GROQ_API_KEY
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if (!apiKey || apiKey.trim() === "") {
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console.error("ERROR: GROQ_API_KEY is not set or empty")
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console.error("Please check your .env file")
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console.error("Add: GROQ_API_KEY=your_api_key_here")
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process.exit(1)
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}
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console.log(`API Key found (length: ${apiKey.length}, starts with: ${apiKey.substring(0, 10)}...)`)
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// Sample weather data
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const sampleWeatherData = {
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condition: "PartlyCloudy",
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temperature: 18,
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feelsLike: 16,
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humidity: 0.65,
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windSpeed: 15,
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precipitationChance: 0.3,
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uvIndex: 6,
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daytimeCondition: "MostlyCloudy",
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isNighttime: false,
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}
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// Build the same prompt that the real code uses
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function buildWeatherPrompt(weatherData: typeof sampleWeatherData): string {
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let laterConditions = ""
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// If it's nighttime, mention tomorrow's weather
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if (weatherData.isNighttime && (weatherData as any).tomorrowCondition) {
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laterConditions = `\n\nTomorrow's forecast:
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- Condition: ${(weatherData as any).tomorrowCondition}
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- High: ${(weatherData as any).tomorrowHighTemp ? Math.round((weatherData as any).tomorrowHighTemp) : "N/A"}°C
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- Low: ${(weatherData as any).tomorrowLowTemp ? Math.round((weatherData as any).tomorrowLowTemp) : "N/A"}°C
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${(weatherData as any).tomorrowPrecipitationChance ? `- Precipitation chance: ${Math.round((weatherData as any).tomorrowPrecipitationChance * 100)}%` : ""}`
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}
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// Otherwise, mention changes later today
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else if (weatherData.daytimeCondition || (weatherData as any).overnightCondition) {
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laterConditions = `\n- Later today: ${weatherData.daytimeCondition || (weatherData as any).overnightCondition}`
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}
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return `Generate a concise, natural weather description for a dashboard. Keep it under 25 words.
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Current conditions:
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- Condition: ${weatherData.condition}
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- Feels like: ${Math.round(weatherData.feelsLike)}°C
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- Humidity: ${Math.round(weatherData.humidity * 100)}%
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- Wind speed: ${Math.round(weatherData.windSpeed)} km/h
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${weatherData.precipitationChance ? `- Precipitation chance: ${Math.round(weatherData.precipitationChance * 100)}%` : ""}
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- UV index: ${weatherData.uvIndex}${laterConditions}
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Requirements:
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- Be conversational and friendly
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- Focus on what matters most (condition, any warnings)
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- DO NOT mention the current temperature - it will be displayed separately
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- CRITICAL: If it's nighttime and tomorrow's forecast is provided, PRIORITIZE tomorrow's weather (e.g., "Cool night. Tomorrow will be partly cloudy with a high of 10°C.")
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- If it's daytime and conditions change later, mention it (e.g., "turning cloudy later", "clearing up tonight")
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- Tomorrow's temperature is OK to mention
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- Mention feels-like only if significantly different (>3°C) and explain WHY (e.g., "due to wind", "due to humidity")
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- Include precipitation chance if >30%
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- For wind: Use descriptive terms (calm, light, moderate, strong, extreme) - NEVER use specific km/h numbers
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- For UV: Use descriptive terms (low, moderate, high, very high, extreme) - NEVER use specific numbers
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- Warn about extreme conditions (very hot/cold, high UV, strong winds)
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- Use natural language, not technical jargon
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- NO emojis
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- One or two short sentences maximum
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Example good outputs (DAYTIME):
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- "Partly cloudy and pleasant. Light winds make it comfortable."
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- "Clear skies, but feels hotter. High UV - wear sunscreen."
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- "Mostly sunny, turning cloudy later. Comfortable conditions."
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- "Rainy with 70% chance of more rain. Bring an umbrella."
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- "Feels much colder due to strong winds. Bundle up."
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- "Cloudy and mild, clearing up tonight."
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- "Feels warmer due to humidity. Stay hydrated."
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Example good outputs (NIGHTTIME - focus on tomorrow):
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- "Cool night. Tomorrow will be sunny and warm with a high of 24°C."
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- "Clear skies. Expect partly cloudy skies tomorrow, high of 10°C."
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- "Chilly night. Tomorrow brings rain with a high of 15°C."
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- "Mild evening. Tomorrow will be hot and sunny, reaching 32°C."
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Example BAD outputs (avoid these):
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- "Mostly clear at 7°C, feels like 0°C due to the 21 km/h wind." ❌ (don't mention current temp, don't use specific wind speed)
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- "Sunny at 28°C with UV index of 9." ❌ (don't mention current temp, don't use specific UV number)
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- "Temperature is 22°C with 65% humidity." ❌ (don't mention current temp, too technical)
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Generate description:`
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}
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const prompt = buildWeatherPrompt(sampleWeatherData)
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console.log("\n=== Sending request to Groq API ===\n")
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console.log("URL:", "https://api.groq.com/openai/v1/chat/completions")
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console.log("Model:", "openai/gpt-oss-120b")
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console.log("\nPrompt length:", prompt.length, "characters")
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console.log("\nFirst 500 chars of prompt:")
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console.log(prompt.substring(0, 500))
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console.log("...\n")
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const requestBody = {
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model: "openai/gpt-oss-120b",
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messages: [
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{
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role: "user",
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content: prompt,
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},
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],
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temperature: 0.7,
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max_tokens: 1000,
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top_p: 0.95,
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}
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try {
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console.log("Making API request...\n")
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const response = await fetch(
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"https://api.groq.com/openai/v1/chat/completions",
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{
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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"Authorization": `Bearer ${apiKey}`,
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},
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body: JSON.stringify(requestBody),
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}
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)
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console.log("=== Response Status ===")
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console.log(`Status: ${response.status} ${response.statusText}`)
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console.log(`OK: ${response.ok}`)
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if (!response.ok) {
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const errorText = await response.text()
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console.log("\n=== Error Response Body ===")
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console.log(errorText)
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try {
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const errorJson = JSON.parse(errorText)
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console.log("\n=== Parsed Error JSON ===")
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console.log(JSON.stringify(errorJson, null, 2))
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} catch {
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// Not JSON, that's fine
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}
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process.exit(1)
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}
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const data = await response.json()
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console.log("\n=== Full API Response ===")
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console.log(JSON.stringify(data, null, 2))
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console.log("\n=== Extracting Response Text ===")
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const description = data.choices?.[0]?.message?.content?.trim() || ""
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if (!description) {
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console.error("ERROR: Response text is empty!")
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console.log("Response structure:")
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console.log("- choices exists:", !!data.choices)
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console.log("- choices[0] exists:", !!data.choices?.[0])
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console.log("- message exists:", !!data.choices?.[0]?.message)
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console.log("- content exists:", !!data.choices?.[0]?.message?.content)
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process.exit(1)
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}
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console.log("\n=== Weather Description ===")
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console.log(description)
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console.log("\n=== Description Length ===")
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console.log(description.length, "characters")
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console.log(description.split(" ").length, "words")
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console.log("\n✅ Test completed successfully!")
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} catch (error) {
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console.error("\n=== Request Failed ===")
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console.error(error)
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if (error instanceof Error) {
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console.error("Error message:", error.message)
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console.error("Error stack:", error.stack)
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}
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process.exit(1)
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}
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