from app import create_app, db
from app.models import Country, Case, InterrogationSession, GeneratedQuestion, InterrogationResponse, Report, CaseStatus
import random
from datetime import datetime, timedelta

app = create_app()

# --- Helper function to generate random names ---
def generate_random_name():
    first_names = ["Aaliyah", "Aarav", "Beatrix", "Bodhi", "Cassian", "Clara", "Declan", "Elara", "Felix", "Fiona", "Gideon", "Hazel", "Jasper", "Juniper", "Kai", "Luna", "Milo", "Nora", "Orion", "Ophelia", "Phoenix", "Quinn", "Rowan", "Seraphina", "Silas", "Stella", "Theodore", "Violet", "Xavier", "Zara"]
    last_names = ["Abe", "Chen", "Da Silva", "El-Sayed", "Fernandez", "Garcia", "Ivanov", "Jones", "Kim", "Kowalski", "Li", "Martinez", "Müller", "Nguyen", "Okafor", "Patel", "Popescu", "Rossi", "Santos", "Schmidt", "Singh", "Smith", "Tanaka", "Tremblay", "Van Der Berg", "Williams", "Wilson", "Yamamoto", "Zhang", "Zimmerman"]
    return f"{random.choice(first_names)} {random.choice(last_names)}"

# --- Helper function to generate random text ---
def generate_random_text(length=100):
    words = ["lorem", "ipsum", "dolor", "sit", "amet", "consectetur", "adipiscing", "elit", "sed", "do", "eiusmod", "tempor", "incididunt", "ut", "labore", "et", "dolore", "magna", "aliqua"]
    return " ".join(random.choice(words) for _ in range(length // 5)).capitalize() + "."

# --- Function to populate the database ---
def populate_database():
    with app.app_context():
        db.drop_all() # Clear existing data
        db.create_all() # Create tables

        # 1. Populate Countries
        countries_data = [
            # GCC
            {"name": "Saudi Arabia", "region": "GCC"},
            {"name": "UAE", "region": "GCC"},
            {"name": "Qatar", "region": "GCC"},
            {"name": "Bahrain", "region": "GCC"},
            {"name": "Oman", "region": "GCC"},
            {"name": "Kuwait", "region": "GCC"},
            # EU
            {"name": "Germany", "region": "EU"},
            {"name": "France", "region": "EU"},
            {"name": "Italy", "region": "EU"},
            {"name": "Spain", "region": "EU"},
            # African Countries
            {"name": "South Africa", "region": "Africa"},
            {"name": "Nigeria", "region": "Africa"},
            {"name": "Kenya", "region": "Africa"},
            # North America
            {"name": "USA", "region": "North America"},
            {"name": "Canada", "region": "North America"},
            # Indian Subcontinent
            {"name": "India", "region": "Indian Subcontinent"},
            {"name": "Pakistan", "region": "Indian Subcontinent"},
            {"name": "Bangladesh", "region": "Indian Subcontinent"},
            {"name": "Sri Lanka", "region": "Indian Subcontinent"},
            # East Asia
            {"name": "China", "region": "East Asia"},
            {"name": "Japan", "region": "East Asia"},
        ]
        
        created_countries = {}
        for country_data in countries_data:
            country = Country(name=country_data["name"], region=country_data["region"])
            db.session.add(country)
            created_countries[country_data["name"]] = country
        db.session.commit()
        print("Countries populated.")

        # 2. Populate Sample Cases
        case_types = ["Fraud", "Theft", "Cybercrime", "Assault", "Homicide", "Drug Trafficking"]
        all_countries = Country.query.all()
        if not all_countries:
            print("No countries found, cannot create cases.")
            return

        cases = []
        for i in range(10): # Create 10 sample cases
            case = Case(
                case_id_display=f"C-2024{str(i+1).zfill(4)}",
                case_type=random.choice(case_types),
                suspect_name=generate_random_name(),
                profile_details=generate_random_text(150),
                evidence_summary=generate_random_text(200),
                status=random.choice(list(CaseStatus)),
                country_context=random.choice(all_countries) # Assign a random country for context
            )
            db.session.add(case)
            cases.append(case)
        db.session.commit()
        print(f"{len(cases)} Cases populated.")

        # 3. Populate Interrogation Sessions, Questions, Responses, and Reports for each case
        for case_obj in cases:
            # Create an interrogation session
            session = InterrogationSession(
                case_id=case_obj.id,
                session_date=datetime.utcnow() - timedelta(days=random.randint(1, 30)),
                summary_notes=generate_random_text(100)
            )
            db.session.add(session)
            db.session.commit() # Commit session to get its ID

            # Create generated questions for the session
            question_categories = ["Identity & Timeline", "Evidence Confrontation", "Alibi Verification", "Psychological Pressure"]
            for _ in range(random.randint(5, 12)): # 5 to 12 questions per session
                question = GeneratedQuestion(
                    interrogation_session_id=session.id,
                    question_text=generate_random_text(50) + "?",
                    category=random.choice(question_categories)
                )
                db.session.add(question)
                db.session.commit() # Commit question to get its ID

                # Create a response for the question
                response_tags = ["evasiveness", "contradiction", "alibi failure", "confession hint", "cooperative"]
                response = InterrogationResponse(
                    generated_question_id=question.id,
                    response_text=generate_random_text(80),
                    tags=",".join(random.sample(response_tags, random.randint(0,2)))
                )
                db.session.add(response)
            db.session.commit()

            # Create a report for the case
            report = Report(
                case_id=case_obj.id,
                llm_json_output='{"summary": "' + generate_random_text(100) + '", "findings": "' + generate_random_text(150) + '"}',
                report_content_summary=generate_random_text(250),
                recommendations=generate_random_text(120),
                report_country_context=case_obj.country_context # Use the same country as the case for the report
            )
            db.session.add(report)
        db.session.commit()
        print("Interrogation Sessions, Questions, Responses, and Reports populated.")

        print("Database populated successfully!")

if __name__ == "__main__":
    populate_database()