import os
from pymongo import MongoClient
from datetime import datetime
from bson import ObjectId
from dotenv import load_dotenv

class SheamiDB:
    def __init__(self, uri: str, db_name: str = "sheami"):
        """Initialize connection to MongoDB Atlas (or local Mongo)."""
        self.client = MongoClient(uri)
        self.db = self.client[db_name]

        # Collections
        self.users = self.db["users"]
        self.patients = self.db["patients"]
        self.reports = self.db["reports"]
        self.trends = self.db["trends"]
        self.final_reports = self.db["final_reports"]

    # ---------------------------
    # USER FUNCTIONS
    # ---------------------------
    def add_user(self, email: str, name: str) -> str:
        user = {
            "email": email,
            "name": name,
            "created_at": datetime.utcnow()
        }
        result = self.users.insert_one(user)
        return str(result.inserted_id)

    def get_user(self, user_id: str) -> dict:
        return self.users.find_one({"_id": ObjectId(user_id)})

    # ---------------------------
    # PATIENT FUNCTIONS
    # ---------------------------
    def add_patient(self, user_id: str, name: str, dob: str, gender: str) -> str:
        patient = {
            "user_id": ObjectId(user_id),
            "name": name,
            "dob": dob,
            "gender": gender,
            "created_at": datetime.utcnow()
        }
        result = self.patients.insert_one(patient)
        return str(result.inserted_id)

    def get_patients_by_user(self, user_id: str) -> list:
        return list(self.patients.find({"user_id": ObjectId(user_id)}))

    # ---------------------------
    # REPORT FUNCTIONS
    # ---------------------------
    def add_report(self, patient_id: str, file_name: str, parsed_data: dict) -> str:
        report = {
            "patient_id": ObjectId(patient_id),
            "uploaded_at": datetime.utcnow(),
            "file_name": file_name,
            "parsed_data": parsed_data
        }
        result = self.reports.insert_one(report)
        return str(result.inserted_id)

    def get_reports_by_patient(self, patient_id: str) -> list:
        return list(self.reports.find({"patient_id": ObjectId(patient_id)}))

    # ---------------------------
    # TREND FUNCTIONS
    # ---------------------------
    def add_or_update_trend(self, patient_id: str, test_name: str, trend_data: list):
        """Insert new trend or update existing one."""
        self.trends.update_one(
            {"patient_id": ObjectId(patient_id), "test_name": test_name},
            {"$set": {"trend_data": trend_data, "last_updated": datetime.utcnow()}},
            upsert=True
        )

    def get_trends_by_patient(self, patient_id: str) -> list:
        return list(self.trends.find({"patient_id": ObjectId(patient_id)}))

    # ---------------------------
    # FINAL REPORT FUNCTIONS
    # ---------------------------
    def add_final_report(self, patient_id: str, summary: str, recommendations: list, trend_snapshots: list) -> str:
        final_report = {
            "patient_id": ObjectId(patient_id),
            "generated_at": datetime.utcnow(),
            "summary": summary,
            "recommendations": recommendations,
            "trend_snapshots": trend_snapshots
        }
        result = self.final_reports.insert_one(final_report)
        return str(result.inserted_id)

    def get_final_reports_by_patient(self, patient_id: str) -> list:
        return list(self.final_reports.find({"patient_id": ObjectId(patient_id)}))


# ---------------------------
# Example usage
# ---------------------------
if __name__ == "__main__":
    load_dotenv(override=True)
    db = SheamiDB(os.getenv("DB_URI"))

    # Add user
    user_id = db.add_user("doctor1@sheami.com", "Dr. Smith")

    # Add patient
    patient_id = db.add_patient(user_id, "John Doe", "1980-05-20", "male")

    # Add report
    parsed_data = {
        "tests": [
            {"name": "Hemoglobin", "value": 13.5, "unit": "g/dL", "reference_range": "13.0-17.0"},
            {"name": "Cholesterol", "value": 210, "unit": "mg/dL", "reference_range": "<200"}
        ]
    }
    report_id = db.add_report(patient_id, "bloodwork_july.pdf", parsed_data)

    # Add trend
    db.add_or_update_trend(patient_id, "Hemoglobin", [
        {"date": "2025-05-01", "value": 13.2},
        {"date": "2025-07-01", "value": 13.5},
        {"date": "2025-08-19", "value": 13.8}
    ])

    # Add final report
    final_report_id = db.add_final_report(
        patient_id,
        "Hemoglobin stable, cholesterol slightly high.",
        ["Maintain healthy diet", "Check cholesterol in 3 months"],
        [
            {"test_name": "Hemoglobin", "latest_value": 13.8, "direction": "stable"},
            {"test_name": "Cholesterol", "latest_value": 210, "direction": "increasing"}
        ]
    )

    print("User ID:", user_id)
    print("Patient ID:", patient_id)
    print("Report ID:", report_id)
    print("Final Report ID:", final_report_id)