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from .vlm_service import VLMService, ModelType
from typing import Dict, Any, List
import asyncio
class StubVLMService(VLMService):
"""Stub VLM service for testing and development"""
def __init__(self):
super().__init__("STUB_MODEL", ModelType.CUSTOM)
async def generate_caption(self, image_bytes: bytes, prompt: str, metadata_instructions: str = "") -> dict:
"""Generate a stub caption for testing purposes."""
caption = f"This is a stub caption for testing. Image size: {len(image_bytes)} bytes. Prompt: {prompt[:50]}..."
# Return data in the format expected by schema validator
return {
"caption": caption,
"raw_response": {
"stub": True,
"analysis": caption,
"metadata": {
"title": "Stub Generated Title",
"source": "OTHER",
"type": "OTHER",
"countries": [],
"epsg": "OTHER"
}
},
"metadata": {
"title": "Stub Generated Title",
"source": "OTHER",
"type": "OTHER",
"countries": [],
"epsg": "OTHER"
}
}
async def generate_multi_image_caption(self, image_bytes_list: List[bytes], prompt: str, metadata_instructions: str = "") -> dict:
"""Generate a stub caption for multiple images for testing purposes."""
caption = f"This is a stub multi-image caption for testing. Number of images: {len(image_bytes_list)}. Total size: {sum(len(img) for img in image_bytes_list)} bytes. Prompt: {prompt[:50]}..."
# Create individual metadata for each image
metadata_images = {}
for i, img_bytes in enumerate(image_bytes_list):
metadata_images[f"image{i+1}"] = {
"source": "OTHER",
"type": "OTHER",
"countries": [],
"epsg": "OTHER"
}
# Return data in the format expected by schema validator
return {
"caption": caption,
"raw_response": {
"stub": True,
"analysis": caption,
"metadata": {
"title": "Stub Multi-Image Generated Title",
"metadata_images": metadata_images
}
},
"metadata": {
"title": "Stub Multi-Image Generated Title",
"metadata_images": metadata_images
}
} |