Initial commit for Start9 packaging

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MacPro
2026-02-28 09:27:26 -06:00
commit 1b64c45c52
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import { NextResponse } from "next/server";
import { z } from "zod";
import { getCurrentUser } from "@/lib/auth";
import { prisma } from "@/lib/prisma";
const importSchema = z.object({
images: z.array(z.string()).min(1, "At least one image is required"),
});
const CLAUDE_API_URL = "https://api.anthropic.com/v1/messages";
const SYSTEM_PROMPT = `You are analyzing photos of handwritten workout logs, Apple Notes, or other workout records. Extract all workout data you can find.
IMPORTANT RULES:
- If you can identify a date for the workout, include it as an ISO date string (YYYY-MM-DD)
- If no date is visible, set date to null
- Extract exercise names as closely as written
- For each exercise, extract all sets with whatever data is visible (reps, weight, duration, etc.)
- If you're unsure about an exercise name or value, set "uncertain": true and explain in "uncertainReason"
- Weight units: assume lbs unless kg or kilograms is explicitly written
- For cardio exercises (running, biking, rowing, assault bike, jump rope, etc.), look for duration, distance, and calories
- Be conservative — only include data you can actually read
Return ONLY valid JSON with this exact structure (no markdown, no code fences):
{
"workouts": [
{
"date": "2025-01-15" or null,
"name": "Upper Body" or null,
"notes": "any overall notes" or null,
"exercises": [
{
"name": "Bench Press",
"type": "barbell" | "dumbbell" | "machine" | "cable" | "bodyweight" | "cardio" | "kettlebell" | "other",
"sets": [
{
"reps": 8,
"weight": 225,
"weightUnit": "lbs",
"durationSeconds": null,
"distance": null,
"distanceUnit": null,
"calories": null,
"rpe": null,
"notes": null
}
],
"notes": null,
"uncertain": false,
"uncertainReason": null
}
]
}
],
"confidence": "high" | "medium" | "low",
"warnings": ["list any legibility issues or assumptions made"]
}`;
export async function POST(request: Request) {
try {
const user = await getCurrentUser();
if (!user) {
return NextResponse.json({ error: "Unauthorized" }, { status: 401 });
}
// Get user's Claude API key from preferences
const preferences = await prisma.userPreferences.findUnique({
where: { userId: user.id },
});
if (!preferences?.enableClaudeAI || !preferences?.claudeApiKey) {
return NextResponse.json(
{
error: "Claude AI is not configured. Please add your API key in Settings.",
code: "NO_API_KEY",
},
{ status: 400 }
);
}
const body = await request.json();
const validated = importSchema.parse(body);
// Build Claude API request with vision
const content: any[] = [
{
type: "text",
text: "Please analyze the following workout log image(s) and extract all workout data. Return ONLY valid JSON.",
},
];
// Add each image
for (const imageData of validated.images) {
// imageData could be a data URL or raw base64
let base64 = imageData;
let mediaType = "image/jpeg";
if (imageData.startsWith("data:")) {
const match = imageData.match(/^data:(image\/\w+);base64,(.+)$/);
if (match) {
mediaType = match[1];
base64 = match[2];
}
}
content.push({
type: "image",
source: {
type: "base64",
media_type: mediaType,
data: base64,
},
});
}
// Call Claude API
const claudeResponse = await fetch(CLAUDE_API_URL, {
method: "POST",
headers: {
"Content-Type": "application/json",
"x-api-key": preferences.claudeApiKey,
"anthropic-version": "2023-06-01",
},
body: JSON.stringify({
model: "claude-sonnet-4-20250514",
max_tokens: 4096,
system: SYSTEM_PROMPT,
messages: [
{
role: "user",
content,
},
],
}),
});
if (!claudeResponse.ok) {
const errorBody = await claudeResponse.text();
console.error("Claude API error:", claudeResponse.status, errorBody);
if (claudeResponse.status === 401) {
return NextResponse.json(
{ error: "Invalid Claude API key. Please check your key in Settings.", code: "INVALID_KEY" },
{ status: 400 }
);
}
if (claudeResponse.status === 429) {
return NextResponse.json(
{ error: "Claude API rate limit reached. Please try again in a moment.", code: "RATE_LIMITED" },
{ status: 429 }
);
}
return NextResponse.json(
{ error: "Failed to analyze images. Please try again.", code: "API_ERROR" },
{ status: 502 }
);
}
const claudeData = await claudeResponse.json();
// Extract text content from Claude's response
const textContent = claudeData.content?.find((c: any) => c.type === "text");
if (!textContent?.text) {
return NextResponse.json(
{ error: "No response from Claude. Please try again.", code: "EMPTY_RESPONSE" },
{ status: 502 }
);
}
// Parse the JSON response
let parsed;
try {
// Try to extract JSON from the response (Claude might wrap it in code fences)
let jsonText = textContent.text.trim();
const jsonMatch = jsonText.match(/```(?:json)?\s*([\s\S]*?)```/);
if (jsonMatch) {
jsonText = jsonMatch[1].trim();
}
parsed = JSON.parse(jsonText);
} catch {
console.error("Failed to parse Claude response:", textContent.text);
return NextResponse.json(
{
error: "Could not parse the workout data. The image may be too unclear.",
code: "PARSE_ERROR",
raw: textContent.text.substring(0, 500),
},
{ status: 422 }
);
}
// Validate basic structure
if (!parsed.workouts || !Array.isArray(parsed.workouts)) {
return NextResponse.json(
{ error: "Invalid response structure from Claude.", code: "INVALID_STRUCTURE" },
{ status: 422 }
);
}
return NextResponse.json(parsed);
} catch (error) {
if (error instanceof z.ZodError) {
return NextResponse.json(
{ error: "Invalid request data", details: error.errors },
{ status: 400 }
);
}
console.error("POST /api/workouts/import error:", error);
return NextResponse.json(
{ error: "Internal server error" },
{ status: 500 }
);
}
}
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import { NextResponse } from "next/server";
import { z } from "zod";
import { getCurrentUser } from "@/lib/auth";
import { prisma } from "@/lib/prisma";
const setSchema = z.object({
reps: z.number().int().positive().optional(),
weight: z.number().positive().optional(),
weightUnit: z.string().optional(),
durationSeconds: z.number().int().positive().optional(),
distance: z.number().positive().optional(),
distanceUnit: z.string().optional(),
calories: z.number().int().positive().optional(),
rpe: z.number().int().min(1).max(10).optional(),
notes: z.string().optional(),
});
const exerciseSchema = z.object({
name: z.string().min(1),
type: z.string().optional(),
existingExerciseId: z.string().optional(),
sets: z.array(setSchema),
});
const workoutSchema = z.object({
date: z.string(),
name: z.string().optional(),
notes: z.string().optional(),
exercises: z.array(exerciseSchema),
});
const saveImportSchema = z.object({
workouts: z.array(workoutSchema).min(1),
});
export async function POST(request: Request) {
try {
const user = await getCurrentUser();
if (!user) {
return NextResponse.json({ error: "Unauthorized" }, { status: 401 });
}
const body = await request.json();
const validated = saveImportSchema.parse(body);
// Load all user exercises for matching
const existingExercises = await prisma.exercise.findMany({
where: { userId: user.id },
});
// Build a case-insensitive lookup map
const exerciseMap = new Map<string, typeof existingExercises[0]>();
for (const ex of existingExercises) {
exerciseMap.set(ex.name.toLowerCase(), ex);
}
const createdWorkoutIds: string[] = [];
for (const workoutData of validated.workouts) {
// Resolve exercise IDs (match existing or create new)
const resolvedExercises: Array<{
exerciseId: string;
sets: z.infer<typeof setSchema>[];
}> = [];
for (const ex of workoutData.exercises) {
let exerciseId: string;
if (ex.existingExerciseId) {
// User explicitly matched this to an existing exercise
exerciseId = ex.existingExerciseId;
} else {
// Try case-insensitive match
const matched = exerciseMap.get(ex.name.toLowerCase());
if (matched) {
exerciseId = matched.id;
} else {
// Create new exercise
const newExercise = await prisma.exercise.create({
data: {
userId: user.id,
name: ex.name,
type: ex.type || "other",
muscleGroups: JSON.stringify([]),
isCustom: true,
} as any,
});
exerciseId = newExercise.id;
// Add to map so subsequent references can find it
exerciseMap.set(ex.name.toLowerCase(), newExercise);
}
}
resolvedExercises.push({ exerciseId, sets: ex.sets });
}
// Create the workout with all sets
const setLogsData: any[] = [];
for (const resolved of resolvedExercises) {
resolved.sets.forEach((set, index) => {
setLogsData.push({
exerciseId: resolved.exerciseId,
setNumber: index + 1,
reps: set.reps || null,
weight: set.weight || null,
weightUnit: set.weightUnit || "lbs",
rpe: set.rpe || null,
durationSeconds: set.durationSeconds || null,
distance: set.distance || null,
distanceUnit: set.distanceUnit || null,
calories: set.calories || null,
notes: set.notes || null,
});
});
}
const workout = await prisma.workout.create({
data: {
userId: user.id,
date: new Date(workoutData.date),
name: workoutData.name || null,
notes: workoutData.notes || null,
setLogs: {
create: setLogsData,
},
} as any,
});
createdWorkoutIds.push(workout.id);
}
return NextResponse.json({
created: createdWorkoutIds,
count: createdWorkoutIds.length,
});
} catch (error) {
if (error instanceof z.ZodError) {
return NextResponse.json(
{ error: "Invalid request data", details: error.errors },
{ status: 400 }
);
}
console.error("POST /api/workouts/import/save error:", error);
return NextResponse.json(
{ error: "Internal server error" },
{ status: 500 }
);
}
}