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Case Store - JSON-based persistence for patients, lesions, and images
"""
import json
import uuid
import shutil
from pathlib import Path
from datetime import datetime
from typing import List, Dict, Optional, Any
from dataclasses import dataclass, field, asdict
from PIL import Image as PILImage
@dataclass
class ChatMessage:
role: str # "user" or "assistant"
content: str
timestamp: str = field(default_factory=lambda: datetime.utcnow().isoformat())
@dataclass
class LesionImage:
"""A single image capture of a lesion at a point in time"""
id: str
lesion_id: str
timestamp: str = field(default_factory=lambda: datetime.utcnow().isoformat())
image_path: Optional[str] = None
gradcam_path: Optional[str] = None
analysis: Optional[Dict[str, Any]] = None # {diagnosis, confidence, monet_features}
comparison: Optional[Dict[str, Any]] = None # {status, feature_changes, summary}
is_original: bool = False
stage: str = "pending" # pending, analyzing, complete, error
@dataclass
class Lesion:
"""A tracked lesion that can have multiple images over time"""
id: str
patient_id: str
name: str # User-provided label (e.g., "Left shoulder mole")
location: str = "" # Body location
created_at: str = field(default_factory=lambda: datetime.utcnow().isoformat())
chat_history: List[Dict] = field(default_factory=list)
@dataclass
class Patient:
"""A patient who can have multiple lesions"""
id: str
name: str
created_at: str = field(default_factory=lambda: datetime.utcnow().isoformat())
class CaseStore:
"""JSON-based persistence for patients, lesions, and images"""
def __init__(self, data_dir: str = None):
if data_dir is None:
data_dir = Path(__file__).parent
self.data_dir = Path(data_dir)
self.patients_file = self.data_dir / "patients.json"
self.lesions_dir = self.data_dir / "lesions"
self.uploads_dir = self.data_dir / "uploads"
# Ensure directories exist
self.lesions_dir.mkdir(parents=True, exist_ok=True)
self.uploads_dir.mkdir(parents=True, exist_ok=True)
# Initialize patients file if needed
if not self.patients_file.exists():
self._init_patients_file()
def _init_patients_file(self):
"""Initialize patients file"""
data = {"patients": []}
with open(self.patients_file, 'w') as f:
json.dump(data, f, indent=2)
def _load_patients_data(self) -> Dict:
"""Load patients JSON file"""
with open(self.patients_file, 'r') as f:
return json.load(f)
def _save_patients_data(self, data: Dict):
"""Save patients JSON file"""
with open(self.patients_file, 'w') as f:
json.dump(data, f, indent=2)
# -------------------------------------------------------------------------
# Patient Methods
# -------------------------------------------------------------------------
def list_patients(self) -> List[Patient]:
"""List all patients"""
data = self._load_patients_data()
return [Patient(**p) for p in data.get("patients", [])]
def get_patient(self, patient_id: str) -> Optional[Patient]:
"""Get a patient by ID"""
data = self._load_patients_data()
for p in data.get("patients", []):
if p["id"] == patient_id:
return Patient(**p)
return None
def create_patient(self, name: str) -> Patient:
"""Create a new patient"""
patient = Patient(
id=f"patient-{uuid.uuid4().hex[:8]}",
name=name
)
data = self._load_patients_data()
data["patients"].append(asdict(patient))
self._save_patients_data(data)
# Create directory for this patient's lesions
(self.lesions_dir / patient.id).mkdir(exist_ok=True)
return patient
def delete_patient(self, patient_id: str):
"""Delete a patient and all their lesions"""
data = self._load_patients_data()
data["patients"] = [p for p in data["patients"] if p["id"] != patient_id]
self._save_patients_data(data)
# Delete lesion files
patient_lesions_dir = self.lesions_dir / patient_id
if patient_lesions_dir.exists():
shutil.rmtree(patient_lesions_dir)
# Delete uploads
patient_uploads_dir = self.uploads_dir / patient_id
if patient_uploads_dir.exists():
shutil.rmtree(patient_uploads_dir)
# Delete patient chat history
patient_chat_file = self.data_dir / "patient_chats" / f"{patient_id}.json"
if patient_chat_file.exists():
patient_chat_file.unlink()
def get_patient_lesion_count(self, patient_id: str) -> int:
"""Get number of lesions for a patient"""
return len(self.list_lesions(patient_id))
# -------------------------------------------------------------------------
# Lesion Methods
# -------------------------------------------------------------------------
def _get_lesion_path(self, patient_id: str, lesion_id: str) -> Path:
"""Get path to lesion JSON file"""
return self.lesions_dir / patient_id / f"{lesion_id}.json"
def list_lesions(self, patient_id: str) -> List[Lesion]:
"""List all lesions for a patient"""
patient_dir = self.lesions_dir / patient_id
if not patient_dir.exists():
return []
lesions = []
for f in sorted(patient_dir.glob("*.json")):
with open(f, 'r') as fp:
data = json.load(fp)
# Only load lesion data, not images
lesion_data = {k: v for k, v in data.items() if k != 'images'}
lesions.append(Lesion(**lesion_data))
lesions.sort(key=lambda x: x.created_at)
return lesions
def get_lesion(self, patient_id: str, lesion_id: str) -> Optional[Lesion]:
"""Get a lesion by ID"""
path = self._get_lesion_path(patient_id, lesion_id)
if not path.exists():
return None
with open(path, 'r') as f:
data = json.load(f)
lesion_data = {k: v for k, v in data.items() if k != 'images'}
return Lesion(**lesion_data)
def create_lesion(self, patient_id: str, name: str, location: str = "") -> Lesion:
"""Create a new lesion for a patient"""
lesion = Lesion(
id=f"lesion-{uuid.uuid4().hex[:8]}",
patient_id=patient_id,
name=name,
location=location
)
# Ensure patient directory exists
patient_dir = self.lesions_dir / patient_id
patient_dir.mkdir(exist_ok=True)
# Save lesion with empty images array
self._save_lesion_data(patient_id, lesion.id, {
**asdict(lesion),
"images": []
})
return lesion
def _save_lesion_data(self, patient_id: str, lesion_id: str, data: Dict):
"""Save lesion data to JSON file"""
path = self._get_lesion_path(patient_id, lesion_id)
with open(path, 'w') as f:
json.dump(data, f, indent=2)
def _load_lesion_data(self, patient_id: str, lesion_id: str) -> Optional[Dict]:
"""Load full lesion data including images"""
path = self._get_lesion_path(patient_id, lesion_id)
if not path.exists():
return None
with open(path, 'r') as f:
return json.load(f)
def delete_lesion(self, patient_id: str, lesion_id: str):
"""Delete a lesion and all its images"""
path = self._get_lesion_path(patient_id, lesion_id)
if path.exists():
path.unlink()
# Delete uploads for this lesion
lesion_uploads_dir = self.uploads_dir / patient_id / lesion_id
if lesion_uploads_dir.exists():
shutil.rmtree(lesion_uploads_dir)
def update_lesion(self, patient_id: str, lesion_id: str, name: str = None, location: str = None):
"""Update lesion name or location"""
data = self._load_lesion_data(patient_id, lesion_id)
if data is None:
return
if name is not None:
data["name"] = name
if location is not None:
data["location"] = location
self._save_lesion_data(patient_id, lesion_id, data)
# -------------------------------------------------------------------------
# LesionImage Methods
# -------------------------------------------------------------------------
def list_images(self, patient_id: str, lesion_id: str) -> List[LesionImage]:
"""List all images for a lesion"""
data = self._load_lesion_data(patient_id, lesion_id)
if data is None:
return []
images = [LesionImage(**img) for img in data.get("images", [])]
images.sort(key=lambda x: x.timestamp)
return images
def get_image(self, patient_id: str, lesion_id: str, image_id: str) -> Optional[LesionImage]:
"""Get an image by ID"""
data = self._load_lesion_data(patient_id, lesion_id)
if data is None:
return None
for img in data.get("images", []):
if img["id"] == image_id:
return LesionImage(**img)
return None
def add_image(self, patient_id: str, lesion_id: str) -> LesionImage:
"""Add a new image to a lesion's timeline"""
data = self._load_lesion_data(patient_id, lesion_id)
if data is None:
raise ValueError(f"Lesion {lesion_id} not found")
# Check if this is the first image
is_first = len(data.get("images", [])) == 0
image = LesionImage(
id=f"img-{uuid.uuid4().hex[:8]}",
lesion_id=lesion_id,
is_original=is_first
)
if "images" not in data:
data["images"] = []
data["images"].append(asdict(image))
self._save_lesion_data(patient_id, lesion_id, data)
return image
def update_image(
self,
patient_id: str,
lesion_id: str,
image_id: str,
image_path: str = None,
gradcam_path: str = None,
analysis: Dict = None,
comparison: Dict = None,
stage: str = None
):
"""Update an image's data"""
data = self._load_lesion_data(patient_id, lesion_id)
if data is None:
return
for img in data.get("images", []):
if img["id"] == image_id:
if image_path is not None:
img["image_path"] = image_path
if gradcam_path is not None:
img["gradcam_path"] = gradcam_path
if analysis is not None:
img["analysis"] = analysis
if comparison is not None:
img["comparison"] = comparison
if stage is not None:
img["stage"] = stage
break
self._save_lesion_data(patient_id, lesion_id, data)
def save_lesion_image(
self,
patient_id: str,
lesion_id: str,
image_id: str,
image: PILImage.Image,
filename: str = "image.png"
) -> str:
"""Save an uploaded image file, return the path"""
upload_dir = self.uploads_dir / patient_id / lesion_id / image_id
upload_dir.mkdir(parents=True, exist_ok=True)
image_path = upload_dir / filename
image.save(image_path)
return str(image_path)
def get_previous_image(
self,
patient_id: str,
lesion_id: str,
current_image_id: str
) -> Optional[LesionImage]:
"""Get the image before the current one (for comparison)"""
images = self.list_images(patient_id, lesion_id)
for i, img in enumerate(images):
if img.id == current_image_id and i > 0:
return images[i - 1]
return None
# -------------------------------------------------------------------------
# Chat Methods (scoped to lesion)
# -------------------------------------------------------------------------
def add_chat_message(self, patient_id: str, lesion_id: str, role: str, content: str):
"""Add a chat message to a lesion"""
data = self._load_lesion_data(patient_id, lesion_id)
if data is None:
return
message = ChatMessage(role=role, content=content)
if "chat_history" not in data:
data["chat_history"] = []
data["chat_history"].append(asdict(message))
self._save_lesion_data(patient_id, lesion_id, data)
def get_chat_history(self, patient_id: str, lesion_id: str) -> List[ChatMessage]:
"""Get chat history for a lesion"""
data = self._load_lesion_data(patient_id, lesion_id)
if data is None:
return []
return [ChatMessage(**m) for m in data.get("chat_history", [])]
def clear_chat_history(self, patient_id: str, lesion_id: str):
"""Clear chat history for a lesion"""
data = self._load_lesion_data(patient_id, lesion_id)
if data is None:
return
data["chat_history"] = []
self._save_lesion_data(patient_id, lesion_id, data)
# -------------------------------------------------------------------------
# Patient-level Chat Methods
# -------------------------------------------------------------------------
def _get_patient_chat_file(self, patient_id: str) -> Path:
"""Get path to patient-level chat JSON file"""
chat_dir = self.data_dir / "patient_chats"
chat_dir.mkdir(exist_ok=True)
return chat_dir / f"{patient_id}.json"
def get_patient_chat_history(self, patient_id: str) -> List[dict]:
"""Get chat history for a patient"""
chat_file = self._get_patient_chat_file(patient_id)
if not chat_file.exists():
return []
with open(chat_file, 'r') as f:
data = json.load(f)
return data.get("messages", [])
def add_patient_chat_message(
self,
patient_id: str,
role: str,
content: str,
image_url: Optional[str] = None,
tool_calls: Optional[list] = None
):
"""Add a message to patient-level chat history"""
chat_file = self._get_patient_chat_file(patient_id)
if chat_file.exists():
with open(chat_file, 'r') as f:
data = json.load(f)
else:
data = {"messages": []}
message: Dict[str, Any] = {
"id": f"msg-{uuid.uuid4().hex[:8]}",
"role": role,
"content": content,
"timestamp": datetime.utcnow().isoformat(),
}
if image_url is not None:
message["image_url"] = image_url
if tool_calls is not None:
message["tool_calls"] = tool_calls
data["messages"].append(message)
with open(chat_file, 'w') as f:
json.dump(data, f, indent=2)
def clear_patient_chat_history(self, patient_id: str):
"""Clear patient-level chat history"""
chat_file = self._get_patient_chat_file(patient_id)
with open(chat_file, 'w') as f:
json.dump({"messages": []}, f)
def get_or_create_chat_lesion(self, patient_id: str) -> 'Lesion':
"""Get or create the internal chat-images lesion for a patient"""
for lesion in self.list_lesions(patient_id):
if lesion.name == "__chat_images__":
return lesion
return self.create_lesion(patient_id, "__chat_images__", "internal")
def get_latest_chat_image(self, patient_id: str) -> Optional['LesionImage']:
"""Get the most recently analyzed chat image for a patient"""
lesion = self.get_or_create_chat_lesion(patient_id)
images = self.list_images(patient_id, lesion.id)
for img in reversed(images):
if img.analysis is not None:
return img
return None
# Singleton instance
_store_instance = None
def get_case_store() -> CaseStore:
"""Get or create CaseStore singleton"""
global _store_instance
if _store_instance is None:
_store_instance = CaseStore()
return _store_instance
if __name__ == "__main__":
# Test the store
store = CaseStore()
print("Patients:")
for patient in store.list_patients():
print(f" - {patient.id}: {patient.name}")
# Create a test patient
print("\nCreating test patient...")
patient = store.create_patient("Test Patient")
print(f" Created: {patient.id}")
# Create a lesion
print("\nCreating lesion...")
lesion = store.create_lesion(patient.id, "Left shoulder mole", "Left shoulder")
print(f" Created: {lesion.id}")
# Add an image
print("\nAdding image...")
image = store.add_image(patient.id, lesion.id)
print(f" Created: {image.id} (is_original={image.is_original})")
# Add another image
image2 = store.add_image(patient.id, lesion.id)
print(f" Created: {image2.id} (is_original={image2.is_original})")
# List images
print(f"\nImages for lesion {lesion.id}:")
for img in store.list_images(patient.id, lesion.id):
print(f" - {img.id}: original={img.is_original}, stage={img.stage}")
# Cleanup
print("\nCleaning up test patient...")
store.delete_patient(patient.id)
print("Done!")
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