Spaces:
Paused
Paused
Maksymilian Jankowski commited on
Commit ·
fd314e2
1
Parent(s): 17d201b
proxy for model viewing
Browse files
main.py
CHANGED
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@@ -8,6 +8,10 @@ from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel
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from auth import get_current_active_user, User, supabase
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import logging
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load_dotenv()
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@@ -85,13 +89,35 @@ class PlaceOrderRequest(BaseModel):
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@app.post("/auth/signup", tags=["Authentication"])
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async def signup(request: SignUpRequest):
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"""
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-
Sign up a new user
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"""
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try:
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response = supabase.auth.sign_up({
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"email": request.email,
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"password": request.password
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})
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return {"message": "User created successfully", "user": response.user}
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except Exception as e:
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raise HTTPException(status_code=400, detail=str(e))
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@@ -101,7 +127,7 @@ async def signin(request: SignInRequest):
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"""
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Sign in an existing user
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"""
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logging.basicConfig(level=logging.DEBUG)
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logging.debug(f"SignIn request: email={request.email}")
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try:
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response = supabase.auth.sign_in_with_password({
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@@ -118,6 +144,7 @@ async def signin(request: SignInRequest):
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logging.error(f"SignIn error: {str(e)}")
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raise HTTPException(status_code=401, detail=f"Invalid credentials: {str(e)}")
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@app.post("/auth/complete-profile", tags=["Authentication"])
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async def complete_profile(request: CompleteProfileRequest, current_user: User = Depends(get_current_active_user)):
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"""
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@@ -147,13 +174,16 @@ async def complete_profile(request: CompleteProfileRequest, current_user: User =
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# Protected endpoints
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async def check_and_decrement_credits(user_id: str):
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# Get current credits
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credit = supabase.from_("User_Credit_Account").select("num_of_available_gens").eq("user_id", user_id).
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if not credit.data
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raise HTTPException(status_code=403, detail="No credit account found. Please complete your profile.")
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-
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raise HTTPException(status_code=402, detail="No credits left. Please purchase more to generate models.")
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# Decrement credits atomically
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new_credits =
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supabase.from_("User_Credit_Account").update({"num_of_available_gens": new_credits}).eq("user_id", user_id).execute()
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@app.post("/req-img-to-3d", tags=["Image-to-3D"])
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@@ -179,9 +209,34 @@ async def req_img_to_3d(
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json=payload,
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headers=headers,
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)
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if resp.status_code not in (200, 201):
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raise HTTPException(status_code=resp.status_code, detail=resp.text)
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@app.get("/req-result-img-to-3d/{task_id}", tags=["Image-to-3D"])
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async def req_result_img_to_3d(
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@@ -197,7 +252,33 @@ async def req_result_img_to_3d(
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resp = await app.state.client.get(url, headers=headers)
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if resp.status_code != 200:
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raise HTTPException(status_code=resp.status_code, detail=resp.text)
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@app.get("/list-img-to-3d-req", tags=["Image-to-3D"])
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async def list_img_to_3d_req(
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@@ -227,12 +308,33 @@ async def req_text_to_3d(
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"""
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# Credit check and decrement
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await check_and_decrement_credits(current_user.id)
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# Reframe prompt
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openai_resp = await app.state.client.post(
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"https://api.openai.com/v1/chat/completions",
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headers={"Authorization": f"Bearer {settings.openai_api_key}"},
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json={
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"model": "gpt-
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"messages": [
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{"role": "system", "content": "Rephrase the user description to be an ideal prompt for 3D model generation."},
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{"role": "user", "content": prompt.text}
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@@ -240,17 +342,117 @@ async def req_text_to_3d(
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}
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)
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if openai_resp.status_code != 200:
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raise HTTPException(status_code=openai_resp.status_code, detail=openai_resp.text)
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reframed = openai_resp.json()["choices"][0]["message"]["content"]
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# Create Meshy Text-to-3D task
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meshy_resp = await app.state.client.post(
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"https://api.meshy.ai/openapi/v2/text-to-3d",
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headers={"Authorization": f"Bearer {settings.mesh_api_key}"},
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json=
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)
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if meshy_resp.status_code not in (200, 201):
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-
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-
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@app.get("/req-result-text-to-3d/{task_id}", tags=["Text-to-3D"])
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async def req_result_text_to_3d(
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)
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if resp.status_code != 200:
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raise HTTPException(status_code=resp.status_code, detail=resp.text)
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-
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@app.get("/list-text-to-3d-req", tags=["Text-to-3D"])
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async def list_text_to_3d_req(
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@app.get("/user/models", tags=["User"])
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async def get_models(current_user: User = Depends(get_current_active_user)):
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models = supabase.from_("Generated_Models").select("*").eq("user_id", current_user.id).execute()
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return models.data
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@app.post("/orders/place", tags=["Orders"])
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async def place_order(request: PlaceOrderRequest, current_user: User = Depends(get_current_active_user)):
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"""
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"""Basic health-check endpoint returning service status."""
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return {"status": "ok"}
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run("main:app", host="0.0.0.0", port=8000, log_level="info")
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from pydantic import BaseModel
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from auth import get_current_active_user, User, supabase
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import logging
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import random
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from io import BytesIO
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from urllib.parse import unquote
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from fastapi.responses import StreamingResponse
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load_dotenv()
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@app.post("/auth/signup", tags=["Authentication"])
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async def signup(request: SignUpRequest):
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"""
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+
Sign up a new user and create initial profile
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"""
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try:
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response = supabase.auth.sign_up({
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"email": request.email,
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"password": request.password
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})
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+
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# Create user profile entry if user creation was successful
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if response.user and response.user.id:
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try:
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supabase.from_("User").insert({
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"user_id": response.user.id,
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"email": response.user.email,
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"address": None,
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"fullname": None,
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"phone_number": None
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}).execute()
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# Initialize credits
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supabase.from_("User_Credit_Account").insert({
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"user_id": response.user.id,
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"num_of_available_gens": 3
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}).execute()
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print(f"User created successfully: {response.user}")
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except Exception as profile_error:
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logging.error(f"Failed to create user profile: {str(profile_error)}")
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return {"message": "User created successfully", "user": response.user}
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except Exception as e:
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raise HTTPException(status_code=400, detail=str(e))
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"""
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Sign in an existing user
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"""
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+
#logging.basicConfig(level=logging.DEBUG)
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logging.debug(f"SignIn request: email={request.email}")
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try:
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response = supabase.auth.sign_in_with_password({
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logging.error(f"SignIn error: {str(e)}")
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raise HTTPException(status_code=401, detail=f"Invalid credentials: {str(e)}")
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+
# TODO: The signup also creates a profile, so this endpoint should either be removed or /signup updated.
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@app.post("/auth/complete-profile", tags=["Authentication"])
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async def complete_profile(request: CompleteProfileRequest, current_user: User = Depends(get_current_active_user)):
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"""
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# Protected endpoints
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async def check_and_decrement_credits(user_id: str):
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# Get current credits
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| 177 |
+
credit = supabase.from_("User_Credit_Account").select("num_of_available_gens").eq("user_id", user_id).execute()
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| 178 |
+
if not credit.data:
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raise HTTPException(status_code=403, detail="No credit account found. Please complete your profile.")
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+
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credit_data = credit.data[0]
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if credit_data["num_of_available_gens"] is None or credit_data["num_of_available_gens"] <= 0:
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raise HTTPException(status_code=402, detail="No credits left. Please purchase more to generate models.")
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+
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# Decrement credits atomically
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new_credits = credit_data["num_of_available_gens"] - 1
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supabase.from_("User_Credit_Account").update({"num_of_available_gens": new_credits}).eq("user_id", user_id).execute()
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@app.post("/req-img-to-3d", tags=["Image-to-3D"])
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json=payload,
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headers=headers,
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)
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+
if resp.status_code not in (200, 201, 202):
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raise HTTPException(status_code=resp.status_code, detail=resp.text)
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+
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meshy_response = resp.json()
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| 216 |
+
meshy_job_id = meshy_response.get("id") or meshy_response.get("task_id")
|
| 217 |
+
|
| 218 |
+
if not meshy_job_id:
|
| 219 |
+
raise HTTPException(status_code=500, detail="No task ID received from Meshy API")
|
| 220 |
+
|
| 221 |
+
# Save to database
|
| 222 |
+
try:
|
| 223 |
+
supabase.from_("Generated_Models").insert({
|
| 224 |
+
"user_id": current_user.id,
|
| 225 |
+
"meshy_api_job_id": meshy_job_id,
|
| 226 |
+
"model_name": f"Image to 3D - {image.filename}",
|
| 227 |
+
"prompts_and_models_config": {
|
| 228 |
+
"generation_type": "image_to_3d",
|
| 229 |
+
"source_filename": image.filename,
|
| 230 |
+
"content_type": image.content_type,
|
| 231 |
+
"status": "processing",
|
| 232 |
+
"meshy_response": meshy_response
|
| 233 |
+
}
|
| 234 |
+
}).execute()
|
| 235 |
+
except Exception as e:
|
| 236 |
+
logging.error(f"Failed to save model to database: {str(e)}")
|
| 237 |
+
# Don't fail the request if database save fails
|
| 238 |
+
|
| 239 |
+
return {"id": meshy_job_id, "status": "processing", "meshy_response": meshy_response}
|
| 240 |
|
| 241 |
@app.get("/req-result-img-to-3d/{task_id}", tags=["Image-to-3D"])
|
| 242 |
async def req_result_img_to_3d(
|
|
|
|
| 252 |
resp = await app.state.client.get(url, headers=headers)
|
| 253 |
if resp.status_code != 200:
|
| 254 |
raise HTTPException(status_code=resp.status_code, detail=resp.text)
|
| 255 |
+
|
| 256 |
+
result = resp.json()
|
| 257 |
+
|
| 258 |
+
# Update database with current status
|
| 259 |
+
try:
|
| 260 |
+
# Get existing config to merge with new data
|
| 261 |
+
existing_model = supabase.from_("Generated_Models").select("prompts_and_models_config").eq("meshy_api_job_id", task_id).eq("user_id", current_user.id).single().execute()
|
| 262 |
+
|
| 263 |
+
if existing_model.data:
|
| 264 |
+
config = existing_model.data.get("prompts_and_models_config", {})
|
| 265 |
+
config.update({
|
| 266 |
+
"status": result.get("status", "unknown"),
|
| 267 |
+
"meshy_response": result
|
| 268 |
+
})
|
| 269 |
+
|
| 270 |
+
# If completed, add the model URLs
|
| 271 |
+
if result.get("status") == "SUCCEEDED" and "model_urls" in result:
|
| 272 |
+
config["model_urls"] = result["model_urls"]
|
| 273 |
+
config["thumbnail_url"] = result.get("thumbnail_url")
|
| 274 |
+
|
| 275 |
+
supabase.from_("Generated_Models").update({
|
| 276 |
+
"prompts_and_models_config": config
|
| 277 |
+
}).eq("meshy_api_job_id", task_id).eq("user_id", current_user.id).execute()
|
| 278 |
+
except Exception as e:
|
| 279 |
+
logging.error(f"Failed to update model status in database: {str(e)}")
|
| 280 |
+
|
| 281 |
+
return result
|
| 282 |
|
| 283 |
@app.get("/list-img-to-3d-req", tags=["Image-to-3D"])
|
| 284 |
async def list_img_to_3d_req(
|
|
|
|
| 308 |
"""
|
| 309 |
# Credit check and decrement
|
| 310 |
await check_and_decrement_credits(current_user.id)
|
| 311 |
+
|
| 312 |
+
# Save initial record to database immediately after credit check
|
| 313 |
+
initial_record_id = None
|
| 314 |
+
try:
|
| 315 |
+
initial_result = supabase.from_("Generated_Models").insert({
|
| 316 |
+
"user_id": current_user.id,
|
| 317 |
+
"meshy_api_job_id": None,
|
| 318 |
+
"model_name": f"Text to 3D - {prompt.text[:50]}{'...' if len(prompt.text) > 50 else ''}",
|
| 319 |
+
"prompts_and_models_config": {
|
| 320 |
+
"generation_type": "text_to_3d",
|
| 321 |
+
"original_prompt": prompt.text,
|
| 322 |
+
"status": "initializing",
|
| 323 |
+
"stage": "reframing_prompt"
|
| 324 |
+
}
|
| 325 |
+
}).execute()
|
| 326 |
+
initial_record_id = initial_result.data[0]["generated_model_id"] if initial_result.data else None
|
| 327 |
+
print(f"Created initial database record: {initial_record_id}")
|
| 328 |
+
except Exception as e:
|
| 329 |
+
print(f"Failed to create initial database record: {str(e)}")
|
| 330 |
+
# Continue with the request even if database save fails
|
| 331 |
+
|
| 332 |
# Reframe prompt
|
| 333 |
openai_resp = await app.state.client.post(
|
| 334 |
"https://api.openai.com/v1/chat/completions",
|
| 335 |
headers={"Authorization": f"Bearer {settings.openai_api_key}"},
|
| 336 |
json={
|
| 337 |
+
"model": "gpt-4o-mini",
|
| 338 |
"messages": [
|
| 339 |
{"role": "system", "content": "Rephrase the user description to be an ideal prompt for 3D model generation."},
|
| 340 |
{"role": "user", "content": prompt.text}
|
|
|
|
| 342 |
}
|
| 343 |
)
|
| 344 |
if openai_resp.status_code != 200:
|
| 345 |
+
# Update database with error status if initial record was created
|
| 346 |
+
if initial_record_id:
|
| 347 |
+
try:
|
| 348 |
+
supabase.from_("Generated_Models").update({
|
| 349 |
+
"prompts_and_models_config": {
|
| 350 |
+
"generation_type": "text_to_3d",
|
| 351 |
+
"original_prompt": prompt.text,
|
| 352 |
+
"status": "failed",
|
| 353 |
+
"stage": "reframing_prompt",
|
| 354 |
+
"error": f"OpenAI API error: {openai_resp.text}"
|
| 355 |
+
}
|
| 356 |
+
}).eq("generated_model_id", initial_record_id).execute()
|
| 357 |
+
except Exception as e:
|
| 358 |
+
print(f"Failed to update database with error: {str(e)}")
|
| 359 |
raise HTTPException(status_code=openai_resp.status_code, detail=openai_resp.text)
|
| 360 |
+
|
| 361 |
reframed = openai_resp.json()["choices"][0]["message"]["content"]
|
| 362 |
+
|
| 363 |
+
# Update database with reframed prompt
|
| 364 |
+
if initial_record_id:
|
| 365 |
+
try:
|
| 366 |
+
supabase.from_("Generated_Models").update({
|
| 367 |
+
"prompts_and_models_config": {
|
| 368 |
+
"generation_type": "text_to_3d",
|
| 369 |
+
"original_prompt": prompt.text,
|
| 370 |
+
"reframed_prompt": reframed,
|
| 371 |
+
"status": "processing",
|
| 372 |
+
"stage": "creating_3d_model"
|
| 373 |
+
}
|
| 374 |
+
}).eq("generated_model_id", initial_record_id).execute()
|
| 375 |
+
except Exception as e:
|
| 376 |
+
print(f"Failed to update database with reframed prompt: {str(e)}")
|
| 377 |
+
|
| 378 |
# Create Meshy Text-to-3D task
|
| 379 |
+
meshy_payload = {"mode": "preview", "prompt": reframed}
|
| 380 |
+
print(f"Sending to Meshy API: {meshy_payload}")
|
| 381 |
+
|
| 382 |
meshy_resp = await app.state.client.post(
|
| 383 |
"https://api.meshy.ai/openapi/v2/text-to-3d",
|
| 384 |
headers={"Authorization": f"Bearer {settings.mesh_api_key}"},
|
| 385 |
+
json=meshy_payload
|
| 386 |
)
|
| 387 |
+
if meshy_resp.status_code not in (200, 201, 202):
|
| 388 |
+
# Log the full response for debugging
|
| 389 |
+
error_text = meshy_resp.text
|
| 390 |
+
print(f"Meshy API error - Status: {meshy_resp.status_code}, Response: {error_text}")
|
| 391 |
+
|
| 392 |
+
# Try to parse the response as JSON to provide better error details
|
| 393 |
+
try:
|
| 394 |
+
error_json = meshy_resp.json()
|
| 395 |
+
error_detail = f"Meshy API error (status {meshy_resp.status_code}): {error_json}"
|
| 396 |
+
except:
|
| 397 |
+
error_detail = f"Meshy API error (status {meshy_resp.status_code}): {error_text}"
|
| 398 |
+
|
| 399 |
+
# Update database with error status if initial record was created
|
| 400 |
+
if initial_record_id:
|
| 401 |
+
try:
|
| 402 |
+
supabase.from_("Generated_Models").update({
|
| 403 |
+
"prompts_and_models_config": {
|
| 404 |
+
"generation_type": "text_to_3d",
|
| 405 |
+
"original_prompt": prompt.text,
|
| 406 |
+
"reframed_prompt": reframed,
|
| 407 |
+
"status": "failed",
|
| 408 |
+
"stage": "creating_3d_model",
|
| 409 |
+
"error": error_detail
|
| 410 |
+
}
|
| 411 |
+
}).eq("generated_model_id", initial_record_id).execute()
|
| 412 |
+
except Exception as e:
|
| 413 |
+
print(f"Failed to update database with error: {str(e)}")
|
| 414 |
+
raise HTTPException(status_code=meshy_resp.status_code, detail=error_detail)
|
| 415 |
+
|
| 416 |
+
meshy_response = meshy_resp.json()
|
| 417 |
+
task_id = meshy_response.get("result") or meshy_response.get("id") or meshy_response.get("task_id")
|
| 418 |
+
|
| 419 |
+
if not task_id:
|
| 420 |
+
# Update database with error status if initial record was created
|
| 421 |
+
if initial_record_id:
|
| 422 |
+
try:
|
| 423 |
+
supabase.from_("Generated_Models").update({
|
| 424 |
+
"prompts_and_models_config": {
|
| 425 |
+
"generation_type": "text_to_3d",
|
| 426 |
+
"original_prompt": prompt.text,
|
| 427 |
+
"reframed_prompt": reframed,
|
| 428 |
+
"status": "failed",
|
| 429 |
+
"stage": "creating_3d_model",
|
| 430 |
+
"error": "No task ID received from Meshy API"
|
| 431 |
+
}
|
| 432 |
+
}).eq("generated_model_id", initial_record_id).execute()
|
| 433 |
+
except Exception as e:
|
| 434 |
+
print(f"Failed to update database with error: {str(e)}")
|
| 435 |
+
raise HTTPException(status_code=500, detail="No task ID received from Meshy API")
|
| 436 |
+
|
| 437 |
+
# Update database with final successful response
|
| 438 |
+
print(f"Updating database record with task ID: {task_id}")
|
| 439 |
+
try:
|
| 440 |
+
supabase.from_("Generated_Models").update({
|
| 441 |
+
"meshy_api_job_id": task_id,
|
| 442 |
+
"prompts_and_models_config": {
|
| 443 |
+
"generation_type": "text_to_3d",
|
| 444 |
+
"original_prompt": prompt.text,
|
| 445 |
+
"reframed_prompt": reframed,
|
| 446 |
+
"status": "processing",
|
| 447 |
+
"stage": "generating",
|
| 448 |
+
"meshy_response": meshy_response
|
| 449 |
+
}
|
| 450 |
+
}).eq("generated_model_id", initial_record_id).execute()
|
| 451 |
+
except Exception as e:
|
| 452 |
+
print(f"Failed to update database with final response: {str(e)}")
|
| 453 |
+
# Don't fail the request if database save fails
|
| 454 |
+
|
| 455 |
+
return {"id": initial_record_id, "meshy_task_id": task_id, "status": "processing", "original_prompt": prompt.text, "reframed_prompt": reframed, "meshy_response": meshy_response}
|
| 456 |
|
| 457 |
@app.get("/req-result-text-to-3d/{task_id}", tags=["Text-to-3D"])
|
| 458 |
async def req_result_text_to_3d(
|
|
|
|
| 469 |
)
|
| 470 |
if resp.status_code != 200:
|
| 471 |
raise HTTPException(status_code=resp.status_code, detail=resp.text)
|
| 472 |
+
|
| 473 |
+
result = resp.json()
|
| 474 |
+
|
| 475 |
+
# Update database with current status
|
| 476 |
+
try:
|
| 477 |
+
# Get existing config to merge with new data
|
| 478 |
+
existing_model = supabase.from_("Generated_Models").select("prompts_and_models_config").eq("meshy_api_job_id", task_id).eq("user_id", current_user.id).single().execute()
|
| 479 |
+
|
| 480 |
+
if existing_model.data:
|
| 481 |
+
config = existing_model.data.get("prompts_and_models_config", {})
|
| 482 |
+
config.update({
|
| 483 |
+
"status": result.get("status", "unknown"),
|
| 484 |
+
"meshy_response": result
|
| 485 |
+
})
|
| 486 |
+
|
| 487 |
+
# If completed, add the model URLs
|
| 488 |
+
if result.get("status") == "SUCCEEDED" and "model_urls" in result:
|
| 489 |
+
config["model_urls"] = result["model_urls"]
|
| 490 |
+
config["thumbnail_url"] = result.get("thumbnail_url")
|
| 491 |
+
|
| 492 |
+
supabase.from_("Generated_Models").update({
|
| 493 |
+
"prompts_and_models_config": config
|
| 494 |
+
}).eq("meshy_api_job_id", task_id).eq("user_id", current_user.id).execute()
|
| 495 |
+
except Exception as e:
|
| 496 |
+
logging.error(f"Failed to update model status in database: {str(e)}")
|
| 497 |
+
|
| 498 |
+
return result
|
| 499 |
|
| 500 |
@app.get("/list-text-to-3d-req", tags=["Text-to-3D"])
|
| 501 |
async def list_text_to_3d_req(
|
|
|
|
| 554 |
|
| 555 |
@app.get("/user/models", tags=["User"])
|
| 556 |
async def get_models(current_user: User = Depends(get_current_active_user)):
|
| 557 |
+
models = supabase.from_("Generated_Models").select("*").eq("user_id", current_user.id).order("created_at", desc=True).execute()
|
| 558 |
return models.data
|
| 559 |
|
| 560 |
+
@app.get("/user/models/{task_id}", tags=["User"])
|
| 561 |
+
async def get_model_by_task_id(task_id: str, current_user: User = Depends(get_current_active_user)):
|
| 562 |
+
"""
|
| 563 |
+
Get a specific model by task ID for the current user.
|
| 564 |
+
"""
|
| 565 |
+
model = supabase.from_("Generated_Models").select("*").eq("meshy_api_job_id", task_id).eq("user_id", current_user.id).single().execute()
|
| 566 |
+
if not model.data:
|
| 567 |
+
raise HTTPException(status_code=404, detail="Model not found")
|
| 568 |
+
return model.data
|
| 569 |
+
|
| 570 |
+
@app.post("/user/models/{task_id}/refresh", tags=["User"])
|
| 571 |
+
async def refresh_model_status(
|
| 572 |
+
task_id: str,
|
| 573 |
+
current_user: User = Depends(get_current_active_user),
|
| 574 |
+
settings: Settings = Depends(get_settings)
|
| 575 |
+
):
|
| 576 |
+
"""
|
| 577 |
+
Manually refresh the status of a model by checking with Meshy API.
|
| 578 |
+
"""
|
| 579 |
+
# First check if the model exists and belongs to the user
|
| 580 |
+
try:
|
| 581 |
+
model = supabase.from_("Generated_Models").select("*").eq("meshy_api_job_id", task_id).eq("user_id", current_user.id).single().execute()
|
| 582 |
+
if not model.data:
|
| 583 |
+
raise HTTPException(status_code=404, detail="Model not found")
|
| 584 |
+
except Exception:
|
| 585 |
+
raise HTTPException(status_code=404, detail="Model not found")
|
| 586 |
+
|
| 587 |
+
config = model.data.get("prompts_and_models_config", {})
|
| 588 |
+
generation_type = config.get("generation_type")
|
| 589 |
+
|
| 590 |
+
try:
|
| 591 |
+
# Call the appropriate API based on generation type
|
| 592 |
+
if generation_type == "text_to_3d":
|
| 593 |
+
resp = await app.state.client.get(
|
| 594 |
+
f"https://api.meshy.ai/openapi/v2/text-to-3d/{task_id}",
|
| 595 |
+
headers={"Authorization": f"Bearer {settings.mesh_api_key}"}
|
| 596 |
+
)
|
| 597 |
+
elif generation_type == "image_to_3d":
|
| 598 |
+
resp = await app.state.client.get(
|
| 599 |
+
f"https://api.meshy.ai/openapi/v1/image-to-3d/{task_id}",
|
| 600 |
+
headers={"Authorization": f"Bearer {settings.mesh_api_key}"}
|
| 601 |
+
)
|
| 602 |
+
else:
|
| 603 |
+
raise HTTPException(status_code=400, detail="Unknown generation type")
|
| 604 |
+
|
| 605 |
+
if resp.status_code != 200:
|
| 606 |
+
raise HTTPException(status_code=resp.status_code, detail=resp.text)
|
| 607 |
+
|
| 608 |
+
result = resp.json()
|
| 609 |
+
|
| 610 |
+
# Update database with current status
|
| 611 |
+
config.update({
|
| 612 |
+
"status": result.get("status", "unknown"),
|
| 613 |
+
"meshy_response": result
|
| 614 |
+
})
|
| 615 |
+
|
| 616 |
+
# If completed, add the model URLs
|
| 617 |
+
if result.get("status") == "SUCCEEDED" and "model_urls" in result:
|
| 618 |
+
config["model_urls"] = result["model_urls"]
|
| 619 |
+
config["thumbnail_url"] = result.get("thumbnail_url")
|
| 620 |
+
|
| 621 |
+
supabase.from_("Generated_Models").update({
|
| 622 |
+
"prompts_and_models_config": config
|
| 623 |
+
}).eq("meshy_api_job_id", task_id).eq("user_id", current_user.id).execute()
|
| 624 |
+
|
| 625 |
+
# Return updated model data
|
| 626 |
+
updated_model = supabase.from_("Generated_Models").select("*").eq("meshy_api_job_id", task_id).eq("user_id", current_user.id).single().execute()
|
| 627 |
+
return updated_model.data
|
| 628 |
+
|
| 629 |
+
except Exception as e:
|
| 630 |
+
logging.error(f"Failed to refresh model status: {str(e)}")
|
| 631 |
+
raise HTTPException(status_code=500, detail=f"Failed to refresh model status: {str(e)}")
|
| 632 |
+
|
| 633 |
+
@app.post("/user/models/{generated_model_id}/refresh", tags=["User"])
|
| 634 |
+
async def refresh_model_status_by_id(
|
| 635 |
+
generated_model_id: str,
|
| 636 |
+
current_user: User = Depends(get_current_active_user),
|
| 637 |
+
settings: Settings = Depends(get_settings)
|
| 638 |
+
):
|
| 639 |
+
"""
|
| 640 |
+
Manually refresh the status of a model by checking with Meshy API using the generated model ID.
|
| 641 |
+
"""
|
| 642 |
+
# First check if the model exists and belongs to the user
|
| 643 |
+
try:
|
| 644 |
+
model = supabase.from_("Generated_Models").select("*").eq("generated_model_id", generated_model_id).eq("user_id", current_user.id).single().execute()
|
| 645 |
+
if not model.data:
|
| 646 |
+
raise HTTPException(status_code=404, detail="Model not found")
|
| 647 |
+
except Exception:
|
| 648 |
+
raise HTTPException(status_code=404, detail="Model not found")
|
| 649 |
+
|
| 650 |
+
task_id = model.data.get("meshy_api_job_id")
|
| 651 |
+
if not task_id:
|
| 652 |
+
raise HTTPException(status_code=400, detail="No Meshy API task ID found for this model")
|
| 653 |
+
|
| 654 |
+
config = model.data.get("prompts_and_models_config", {})
|
| 655 |
+
generation_type = config.get("generation_type")
|
| 656 |
+
|
| 657 |
+
try:
|
| 658 |
+
# Call the appropriate API based on generation type
|
| 659 |
+
if generation_type == "text_to_3d":
|
| 660 |
+
resp = await app.state.client.get(
|
| 661 |
+
f"https://api.meshy.ai/openapi/v2/text-to-3d/{task_id}",
|
| 662 |
+
headers={"Authorization": f"Bearer {settings.mesh_api_key}"}
|
| 663 |
+
)
|
| 664 |
+
elif generation_type == "image_to_3d":
|
| 665 |
+
resp = await app.state.client.get(
|
| 666 |
+
f"https://api.meshy.ai/openapi/v1/image-to-3d/{task_id}",
|
| 667 |
+
headers={"Authorization": f"Bearer {settings.mesh_api_key}"}
|
| 668 |
+
)
|
| 669 |
+
else:
|
| 670 |
+
raise HTTPException(status_code=400, detail="Unknown generation type")
|
| 671 |
+
|
| 672 |
+
if resp.status_code != 200:
|
| 673 |
+
raise HTTPException(status_code=resp.status_code, detail=resp.text)
|
| 674 |
+
|
| 675 |
+
result = resp.json()
|
| 676 |
+
|
| 677 |
+
# Update database with current status
|
| 678 |
+
config.update({
|
| 679 |
+
"status": result.get("status", "unknown"),
|
| 680 |
+
"meshy_response": result
|
| 681 |
+
})
|
| 682 |
+
|
| 683 |
+
# If completed, add the model URLs
|
| 684 |
+
if result.get("status") == "SUCCEEDED" and "model_urls" in result:
|
| 685 |
+
config["model_urls"] = result["model_urls"]
|
| 686 |
+
config["thumbnail_url"] = result.get("thumbnail_url")
|
| 687 |
+
|
| 688 |
+
supabase.from_("Generated_Models").update({
|
| 689 |
+
"prompts_and_models_config": config
|
| 690 |
+
}).eq("generated_model_id", generated_model_id).eq("user_id", current_user.id).execute()
|
| 691 |
+
|
| 692 |
+
# Return updated model data
|
| 693 |
+
updated_model = supabase.from_("Generated_Models").select("*").eq("generated_model_id", generated_model_id).eq("user_id", current_user.id).single().execute()
|
| 694 |
+
return updated_model.data
|
| 695 |
+
|
| 696 |
+
except Exception as e:
|
| 697 |
+
logging.error(f"Failed to refresh model status: {str(e)}")
|
| 698 |
+
raise HTTPException(status_code=500, detail=f"Failed to refresh model status: {str(e)}")
|
| 699 |
+
|
| 700 |
+
# Keeping the old endpoint for backward compatibility
|
| 701 |
+
@app.post("/user/models/refresh/{generated_model_id}", tags=["User"])
|
| 702 |
+
async def refresh_model_status_by_id_legacy(
|
| 703 |
+
generated_model_id: str,
|
| 704 |
+
current_user: User = Depends(get_current_active_user),
|
| 705 |
+
settings: Settings = Depends(get_settings)
|
| 706 |
+
):
|
| 707 |
+
"""
|
| 708 |
+
Legacy endpoint - use /user/models/{generated_model_id}/refresh instead.
|
| 709 |
+
"""
|
| 710 |
+
return await refresh_model_status_by_id(generated_model_id, current_user, settings)
|
| 711 |
+
|
| 712 |
@app.post("/orders/place", tags=["Orders"])
|
| 713 |
async def place_order(request: PlaceOrderRequest, current_user: User = Depends(get_current_active_user)):
|
| 714 |
"""
|
|
|
|
| 735 |
"""Basic health-check endpoint returning service status."""
|
| 736 |
return {"status": "ok"}
|
| 737 |
|
| 738 |
+
@app.get("/proxy/model", tags=["Proxy"])
|
| 739 |
+
async def proxy_model(url: str):
|
| 740 |
+
"""
|
| 741 |
+
Simple CORS-friendly proxy for GLB (or any binary) files.
|
| 742 |
+
The front-end should call this endpoint with the target URL percent-encoded,
|
| 743 |
+
e.g. /proxy/model?url=https%3A%2F%2Fassets.meshy.ai%2F....glb
|
| 744 |
+
"""
|
| 745 |
+
try:
|
| 746 |
+
# Decode once in case the URL is already percent-encoded
|
| 747 |
+
target_url = unquote(url)
|
| 748 |
+
upstream_resp = await app.state.client.get(target_url)
|
| 749 |
+
if upstream_resp.status_code != 200:
|
| 750 |
+
raise HTTPException(status_code=upstream_resp.status_code,
|
| 751 |
+
detail=f"Failed to fetch remote model: {upstream_resp.text}")
|
| 752 |
+
|
| 753 |
+
content_type = upstream_resp.headers.get("Content-Type", "model/gltf-binary")
|
| 754 |
+
headers = {"Access-Control-Allow-Origin": "*"}
|
| 755 |
+
|
| 756 |
+
# Stream the content back to the client
|
| 757 |
+
return StreamingResponse(BytesIO(upstream_resp.content), media_type=content_type, headers=headers)
|
| 758 |
+
except Exception as e:
|
| 759 |
+
raise HTTPException(status_code=500, detail=str(e))
|
| 760 |
+
|
| 761 |
if __name__ == "__main__":
|
| 762 |
import uvicorn
|
| 763 |
uvicorn.run("main:app", host="0.0.0.0", port=8000, log_level="info")
|