fitaiProto/apps/admin/src/app/api/recommendations/generate-self/route.ts

456 lines
13 KiB
TypeScript

import { NextResponse } from "next/server";
import { auth } from "@clerk/nextjs/server";
import { getDatabase } from "@/lib/database";
import { buildAIContext } from "@/lib/ai/ai-context";
import { buildEnhancedPrompt, buildBasicPrompt } from "@/lib/ai/prompt-builder";
import log from "@/lib/logger";
import { ensureUserSynced } from "@/lib/sync-user";
import { getUserMembershipContext } from "@/lib/membership/access";
const AI_LINK_PREFIX = "[AI_LINKED]";
interface ParsedPlanItem {
id: string;
title: string;
description: string;
goalType:
| "weight_target"
| "strength_milestone"
| "endurance_target"
| "flexibility_goal"
| "habit_building"
| "custom";
}
interface GeneratedPlanContent {
recommendationText?: string;
activityPlan?: string;
dietPlan?: string;
}
function buildFallbackPlan(profile: {
activityLevel?: string;
fitnessGoals?: string[] | string;
medicalConditions?: string;
}): GeneratedPlanContent {
const goals = Array.isArray(profile.fitnessGoals)
? profile.fitnessGoals
: typeof profile.fitnessGoals === "string" && profile.fitnessGoals
? [profile.fitnessGoals]
: ["general fitness"];
const primaryGoal = goals[0] || "general fitness";
const activityLevel = profile.activityLevel || "moderate";
const hasMedicalNotes = Boolean(profile.medicalConditions?.trim());
return {
recommendationText:
`Personalized starter plan focused on ${primaryGoal} with ${activityLevel} activity pacing.` +
(hasMedicalNotes
? " Medical notes detected, so keep intensity conservative and progress gradually."
: ""),
activityPlan:
"- 3 strength sessions per week (full-body, 35-45 min)\n" +
"- 2 cardio sessions per week (20-30 min brisk walk/run/cycle)\n" +
"- 10 minutes daily mobility/stretching after workouts\n" +
"- 1 full recovery day each week",
dietPlan:
"- Build meals around lean protein, vegetables, whole grains, and hydration\n" +
"- Keep portions consistent and avoid skipping meals\n" +
"- Track intake daily and adjust calories based on weekly progress",
};
}
function inferGoalType(text: string): ParsedPlanItem["goalType"] {
const normalized = text.toLowerCase();
if (
normalized.includes("strength") ||
normalized.includes("bench") ||
normalized.includes("squat") ||
normalized.includes("deadlift") ||
normalized.includes("weights")
) {
return "strength_milestone";
}
if (
normalized.includes("run") ||
normalized.includes("cardio") ||
normalized.includes("endurance") ||
normalized.includes("cycle")
) {
return "endurance_target";
}
if (
normalized.includes("stretch") ||
normalized.includes("mobility") ||
normalized.includes("yoga") ||
normalized.includes("flexibility")
) {
return "flexibility_goal";
}
if (
normalized.includes("daily") ||
normalized.includes("routine") ||
normalized.includes("habit")
) {
return "habit_building";
}
return "custom";
}
function parseActivityPlanToItems(activityPlan: string): ParsedPlanItem[] {
const lines = activityPlan
.replace(/\r\n/g, "\n")
.split(/\n+/)
.flatMap((line) => line.split(/(?<=[.!?])\s+(?=[A-Z0-9])/g))
.map((line) => line.trim())
.filter(Boolean)
.map((line) => line.replace(/^[-*•\d.)\s]+/, "").trim())
.filter((line) => line.length > 10)
.slice(0, 8);
const uniqueLines = Array.from(new Set(lines));
return uniqueLines.map((line) => ({
id: crypto.randomUUID(),
title: line.length > 72 ? `${line.slice(0, 69)}...` : line,
description: line,
goalType: inferGoalType(line),
}));
}
function getDefaultPlanItems(): ParsedPlanItem[] {
const defaults = [
"Complete 3 strength sessions this week with progressive overload.",
"Add 2 cardio sessions of 25-30 minutes for endurance.",
"Do a 10-minute mobility routine daily after training.",
];
return defaults.map((line) => ({
id: crypto.randomUUID(),
title: line.length > 72 ? `${line.slice(0, 69)}...` : line,
description: line,
goalType: inferGoalType(line),
}));
}
function parseJsonPayload(content: string): GeneratedPlanContent {
let cleanResponse = content.trim();
if (cleanResponse.startsWith("```json")) {
cleanResponse = cleanResponse
.replace(/^```json\s*/, "")
.replace(/\s*```$/, "");
} else if (cleanResponse.startsWith("```")) {
cleanResponse = cleanResponse.replace(/^```\s*/, "").replace(/\s*```$/, "");
}
const firstBrace = cleanResponse.indexOf("{");
const lastBrace = cleanResponse.lastIndexOf("}");
if (firstBrace !== -1 && lastBrace !== -1) {
cleanResponse = cleanResponse.substring(firstBrace, lastBrace + 1);
}
return JSON.parse(cleanResponse) as GeneratedPlanContent;
}
async function generateWithOpenAI(
openaiApiKey: string,
prompt: string,
): Promise<GeneratedPlanContent> {
const response = await fetch("https://api.openai.com/v1/chat/completions", {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${openaiApiKey}`,
},
body: JSON.stringify({
model: "gpt-4o-mini",
messages: [
{
role: "system",
content:
'You are a professional fitness trainer and nutritionist. Always respond with valid JSON only, no markdown or code blocks. The response must have this exact structure: {"recommendationText": "string", "activityPlan": "string", "dietPlan": "string"}',
},
{
role: "user",
content: prompt,
},
],
temperature: 0.7,
max_tokens: 1500,
response_format: { type: "json_object" },
}),
});
if (!response.ok) {
const errorText = await response.text();
throw new Error(`OpenAI failed: ${response.status} ${errorText}`);
}
const data = await response.json();
return parseJsonPayload(data.choices[0].message.content as string);
}
async function generateWithDeepSeek(
deepseekApiKey: string,
prompt: string,
): Promise<GeneratedPlanContent> {
const response = await fetch("https://api.deepseek.com/v1/chat/completions", {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${deepseekApiKey}`,
},
body: JSON.stringify({
model: "deepseek-chat",
messages: [
{
role: "system",
content:
"You are a professional fitness trainer and nutritionist. Always respond with valid JSON only, no markdown or code blocks.",
},
{
role: "user",
content: prompt,
},
],
temperature: 0.7,
max_tokens: 1200,
}),
});
if (!response.ok) {
const errorText = await response.text();
throw new Error(`DeepSeek failed: ${response.status} ${errorText}`);
}
const data = await response.json();
return parseJsonPayload(data.choices[0].message.content as string);
}
async function generateWithOllama(
prompt: string,
): Promise<GeneratedPlanContent> {
const response = await fetch("http://localhost:11434/api/generate", {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "gemma3:latest",
prompt,
stream: false,
format: "json",
}),
});
if (!response.ok) {
const errorText = await response.text();
throw new Error(`Ollama failed: ${response.status} ${errorText}`);
}
const data = await response.json();
return parseJsonPayload(data.response as string);
}
export async function POST() {
try {
const { userId } = await auth();
if (!userId) {
return NextResponse.json({ error: "Unauthorized" }, { status: 401 });
}
const db = await getDatabase();
const currentUser = await ensureUserSynced(userId, db);
if (!currentUser) {
return NextResponse.json({ error: "Forbidden" }, { status: 403 });
}
const { membershipType, features } = await getUserMembershipContext(userId);
if (membershipType === "basic") {
return NextResponse.json(
{
error:
"AI plan generation is available on Premium and VIP memberships",
membershipType,
},
{ status: 403 },
);
}
if (features.recommendationsPerMonth > 0) {
const currentMonth = new Date();
const monthStart = new Date(
currentMonth.getFullYear(),
currentMonth.getMonth(),
1,
);
const monthEnd = new Date(
currentMonth.getFullYear(),
currentMonth.getMonth() + 1,
1,
);
const existingRecommendations =
await db.getRecommendationsByUserId(userId);
const recommendationsThisMonth = existingRecommendations.filter(
(recommendation) =>
recommendation.generatedAt >= monthStart &&
recommendation.generatedAt < monthEnd,
).length;
if (recommendationsThisMonth >= features.recommendationsPerMonth) {
return NextResponse.json(
{
error: `Your ${membershipType} plan includes ${features.recommendationsPerMonth} AI recommendation(s) per month`,
membershipType,
},
{ status: 403 },
);
}
}
const profile = await db.getFitnessProfileByUserId(userId);
if (!profile) {
return NextResponse.json(
{ error: "Complete your fitness profile before generating a plan" },
{ status: 404 },
);
}
let prompt: string;
try {
const context = await buildAIContext(userId);
prompt = buildEnhancedPrompt(context);
} catch (error) {
log.warn("Failed to build AI context for self-generate", {
userId,
error: error instanceof Error ? error.message : String(error),
});
prompt = buildBasicPrompt(profile);
}
const openaiApiKey = process.env.OPENAI_API_KEY;
const deepseekApiKey = process.env.DEEPSEEK_API_KEY;
let parsedResponse: GeneratedPlanContent;
let usedFallbackPlan = false;
try {
if (openaiApiKey) {
parsedResponse = await generateWithOpenAI(openaiApiKey, prompt);
} else if (deepseekApiKey) {
parsedResponse = await generateWithDeepSeek(deepseekApiKey, prompt);
} else {
parsedResponse = await generateWithOllama(prompt);
}
} catch (providerError) {
log.error("Self-generate provider failed", providerError, {
userId,
hasOpenAI: Boolean(openaiApiKey),
hasDeepSeek: Boolean(deepseekApiKey),
});
parsedResponse = buildFallbackPlan({
activityLevel: profile.activityLevel,
fitnessGoals: profile.fitnessGoals,
medicalConditions: profile.medicalConditions,
});
usedFallbackPlan = true;
}
const recommendation = await db.createRecommendation({
id: crypto.randomUUID(),
userId,
fitnessProfileId: profile.id,
recommendationText: parsedResponse.recommendationText || "",
activityPlan: parsedResponse.activityPlan || "",
dietPlan: parsedResponse.dietPlan || "",
status: "approved",
generatedAt: new Date(),
updatedAt: new Date(),
});
const existingActiveGoals = await db.getFitnessGoalsByUserId(
userId,
"active",
);
const linkedGoals = existingActiveGoals.filter((goal) =>
goal.notes?.startsWith(AI_LINK_PREFIX),
);
await Promise.all(
linkedGoals.map((goal) =>
db.updateFitnessGoal(goal.id, {
status: "paused",
notes: `${goal.notes || ""}\nPaused due to new AI plan generation on ${new Date().toISOString()}`,
}),
),
);
let planItems = parseActivityPlanToItems(parsedResponse.activityPlan || "");
if (planItems.length === 0 && parsedResponse.recommendationText) {
planItems = parseActivityPlanToItems(parsedResponse.recommendationText);
}
if (planItems.length === 0) {
planItems = getDefaultPlanItems();
}
log.debug("AI plan parsed into goal items", {
recommendationId: recommendation.id,
userId,
parsedItems: planItems.length,
});
const createdGoals = await Promise.all(
planItems.map((item) =>
db.createFitnessGoal({
id: crypto.randomUUID(),
userId,
fitnessProfileId: profile.id,
goalType: item.goalType,
title: item.title,
description: item.description,
targetValue: undefined,
currentValue: 0,
unit: undefined,
startDate: new Date(),
targetDate: undefined,
completedDate: undefined,
status: "active",
progress: 0,
priority: "medium",
notes: `${AI_LINK_PREFIX} recommendationId=${recommendation.id}; itemId=${item.id}`,
}),
),
);
return NextResponse.json({
success: true,
data: recommendation,
meta: {
timestamp: new Date().toISOString(),
createdGoals: createdGoals.length,
pausedGoals: linkedGoals.length,
usedFallbackPlan,
},
});
} catch (error) {
log.error("Failed to self-generate recommendation", error);
return NextResponse.json(
{ error: "Internal server error" },
{ status: 500 },
);
}
}