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chore: push all remaining changes

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- Blog writer enhancements and bug fixes
- Wix integration improvements
- Frontend UI updates
- GSC dashboard docs cleanup
- Image studio assets
- LinkedIn requirements file
- Various dependency updates
This commit is contained in:
ajaysi
2026-06-12 20:32:03 +05:30
parent 63a0df2536
commit d90d441019
78 changed files with 3963 additions and 2899 deletions
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205
backend/api/linkedin_image_generation.py
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@@ -1,7 +1,9 @@
import os
from fastapi import APIRouter, HTTPException, UploadFile, File, Depends
from fastapi.responses import FileResponse
from pydantic import BaseModel
from typing import List, Optional, Dict, Any
import json
import base64
# Import our LinkedIn image generation services
from services.linkedin.image_generation import LinkedInImageGenerator, LinkedInImageStorage
@@ -51,6 +53,23 @@ class ImageGenerationResponse(BaseModel):
aspect_ratio: Optional[str] = None
error: Optional[str] = None
class ImageEditRequest(BaseModel):
image_base64: Optional[str] = None
image_id: Optional[str] = None
prompt: str
content_context: Dict[str, Any]
class ImageEditResponse(BaseModel):
success: bool
image_data: Optional[str] = None
image_id: Optional[str] = None
image_url: Optional[str] = None
width: Optional[int] = None
height: Optional[int] = None
provider: Optional[str] = None
model: Optional[str] = None
error: Optional[str] = None
@router.post("/generate-image-prompts", response_model=List[ImagePromptResponse])
async def generate_image_prompts(request: ImagePromptRequest):
"""
@@ -89,7 +108,8 @@ async def generate_linkedin_image(
# Use our LinkedIn image generator service
image_result = await image_generator.generate_image(
prompt=request.prompt,
content_context=request.content_context
content_context=request.content_context,
user_id=user_id
)
if image_result and image_result.get('success'):
@@ -131,6 +151,99 @@ async def generate_linkedin_image(
error=f"Failed to generate image: {str(e)}"
)
@router.post("/edit-image", response_model=ImageEditResponse)
async def edit_linkedin_image(
request: ImageEditRequest,
current_user: Dict[str, Any] = Depends(get_current_user)
):
"""
Edit a LinkedIn-optimized image using natural language.
Provide the image as base64 and describe the desired edits.
"""
try:
user_id = current_user.get("id")
if not user_id:
raise HTTPException(status_code=401, detail="Authentication required")
if not request.prompt or not request.prompt.strip():
raise HTTPException(status_code=400, detail="Prompt is required for image editing")
logger.info(f"Editing LinkedIn image with prompt: {request.prompt[:100]}... for user {user_id}")
# Get input image bytes — from image_id (fetch from storage) or image_base64 (direct decode)
input_image_bytes = None
if request.image_id:
stored = await image_storage.retrieve_image(request.image_id, user_id)
if not stored or not stored.get('success'):
raise HTTPException(status_code=404, detail=f"Image not found: {request.image_id}")
input_image_bytes = stored['image_data']
logger.info(f"Fetched image {request.image_id} from storage ({len(input_image_bytes)} bytes)")
elif request.image_base64:
input_image_bytes = base64.b64decode(request.image_base64)
else:
raise HTTPException(status_code=400, detail="Either image_id or image_base64 is required")
# Use LinkedIn image generator with common editing infrastructure
image_result = await image_generator.edit_image(
input_image_bytes=input_image_bytes,
edit_prompt=request.prompt,
content_context=request.content_context,
user_id=user_id,
)
if image_result and image_result.get('success'):
image_b64 = base64.b64encode(image_result['image_data']).decode("utf-8")
# Store the edited image — log but don't fail if storage has issues
new_image_id = None
stored_result = await image_storage.store_image(
image_data=image_result['image_data'],
metadata={
'prompt': request.prompt,
'style': request.content_context.get('style', 'Edited'),
'content_type': request.content_context.get('content_type'),
'topic': request.content_context.get('topic'),
'industry': request.content_context.get('industry'),
'is_edit': True,
'original_prompt': request.prompt,
'source_image_id': request.image_id,
},
user_id=user_id
)
if stored_result and stored_result.get('success'):
new_image_id = stored_result.get('image_id')
logger.info(f"Edited image stored with ID: {new_image_id}")
else:
logger.warning(f"Edited image not stored: {stored_result.get('error', 'unknown reason')}")
return ImageEditResponse(
success=True,
image_data=image_b64,
image_id=new_image_id,
image_url=image_result.get('image_url'),
width=image_result.get('width'),
height=image_result.get('height'),
provider=image_result.get('provider'),
model=image_result.get('model'),
)
else:
error_msg = image_result.get('error', 'Unknown error during image editing')
logger.error(f"Image editing failed: {error_msg}")
return ImageEditResponse(
success=False,
error=error_msg
)
except HTTPException:
raise
except Exception as e:
logger.error(f"Error editing LinkedIn image: {str(e)}", exc_info=True)
return ImageEditResponse(
success=False,
error=f"Failed to edit image: {str(e)}"
)
@router.get("/image-status/{image_id}")
async def get_image_status(
image_id: str,
@@ -169,42 +282,23 @@ async def get_generated_image(
current_user: Dict[str, Any] = Depends(get_current_user)
):
"""
Retrieve a generated image by ID
Retrieve a generated image by ID.
Returns the image file directly as a PNG response.
"""
try:
user_id = current_user.get("id")
image_result = await image_storage.retrieve_image(image_id, user_id)
if image_result.get('success') and 'image_data' in image_result:
# Return as streaming response or raw bytes depending on frontend needs
# For now returning the structure as before but image_data is bytes
# Ideally this should be a Response object with image/png content type
# But keeping consistency with existing return type structure for now if it was returning dict
# Wait, retrieve_image returns dict with 'image_data' as bytes.
# The original code returned: {"success": True, "image_data": image_data}
# FastAPI handles bytes in JSON? No, it will fail serialization.
# The previous implementation of retrieve_image (lines 190-195) returned bytes in a dict.
# Unless FastAPI response model handles it, this might have been broken or handled specially.
# Let's check imports.
# It uses APIRouter.
# If I return a dict with bytes, json serialization fails.
# Maybe the original code expected base64 or it was just broken?
# Or maybe image_data was not bytes?
# In retrieve_image: with open(..., 'rb') as f: image_data = f.read() -> bytes.
# So returning it in a dict will definitely fail JSON serialization.
# I should probably return a Response or FileResponse, or base64 encode it.
# But for now, I will just match the signature and pass user_id.
# If it was broken before, I'm not fixing that unless asked, but I suspect it might be base64 in usage?
# Let's look at `generate_linkedin_image` which returns `ImageGenerationResponse` with `image_url`.
# `get_generated_image` returns a dict.
# I will stick to passing user_id.
return {
"success": True,
"image_data": image_result['image_data'] # This might need base64 encoding if it's for JSON
}
if image_result.get('success') and image_result.get('image_path'):
return FileResponse(
path=image_result['image_path'],
media_type="image/png",
filename=f"{image_id}.png"
)
else:
raise HTTPException(status_code=404, detail="Image not found")
except HTTPException:
raise
except Exception as e:
logger.error(f"Error retrieving image: {str(e)}")
raise HTTPException(status_code=500, detail=f"Failed to retrieve image: {str(e)}")
@@ -232,25 +326,42 @@ async def delete_generated_image(
@router.get("/image-generation-health")
async def health_check():
"""
Health check for image generation services
Lightweight health check for image generation services.
Verifies configuration and service availability without making API calls.
"""
try:
# Test basic service functionality
test_prompts = await prompt_generator.generate_three_prompts({
'content_type': 'post',
'topic': 'Test',
'industry': 'Technology',
'content': 'Test content for health check'
})
services = {}
all_healthy = True
# Check API key configuration (no actual API call)
image_api_key = api_key_manager.get_api_key("image_generation") or os.getenv("WAVESPEED_API_KEY") or os.getenv("HF_TOKEN")
services["image_api_key_configured"] = bool(image_api_key)
# Check storage accessibility
stats = await image_storage.get_storage_stats()
storage_ok = stats.get('success', False)
services["image_storage"] = "operational" if storage_ok else "unavailable"
if storage_ok:
services["storage_stats"] = {
"total_images": stats.get('total_files', 0),
"total_size_gb": stats.get('total_size_gb', 0),
"limit_gb": stats.get('storage_limit_gb', 0),
}
# Check prompt generator initialization
prompt_ok = prompt_generator is not None and hasattr(prompt_generator, 'generate_three_prompts')
services["prompt_generator"] = "operational" if prompt_ok else "unavailable"
# Check image generator initialization
gen_ok = image_generator is not None and hasattr(image_generator, 'generate_image')
services["image_generator"] = "operational" if gen_ok else "unavailable"
if not all(v == "operational" or v is True for v in services.values()):
all_healthy = False
return {
"status": "healthy",
"services": {
"prompt_generator": "operational",
"image_generator": "operational",
"image_storage": "operational"
},
"test_prompts_generated": len(test_prompts)
"status": "healthy" if all_healthy else "degraded",
"services": services
}
except Exception as e:
logger.error(f"Health check failed: {str(e)}")