from openfisca_core.taxbenefitsystems import TaxBenefitSystem
from openfisca_core.simulations import SimulationBuilder
from .entities import entities
from . import variables as vars_module
import inspect

def build_tax_system():
    system = TaxBenefitSystem(entities)
    # Auto-register all Variable subclasses
    for name, obj in inspect.getmembers(vars_module, inspect.isclass):
        if hasattr(obj, 'value_type'):
            system.add_variable(obj)
    return system

TAX_SYSTEM = build_tax_system()

ELIGIBILITY_VARIABLES = [
    # National Schemes
    "eligible_pm_kisan",
    "eligible_pmjay",
    "eligible_pmay_gramin",
    "eligible_ujjwala",
    "eligible_scholarship_sc_st",
    # Rajasthan State Schemes
    "eligible_chiranjeevi", 
    "eligible_palanhar",
    "eligible_ekal_nari",
    "eligible_devnarayan_scholarship",
    "eligible_incentive_to_girls",
    "eligible_widow_bed_scheme",
    "eligible_nirman_shramik_auzaar",
    "eligible_indira_mahila_shakti",
    "eligible_ayushman_arogya"
]

def check_eligibility(profile: dict) -> dict:
    """
    Takes a citizen profile dict, returns dict of scheme eligibility.
    Pure deterministic logic — no LLM involved.
    
    Sprint 40: Temporal dynamism — period key is now derived from
    the current calendar year instead of hardcoded "2024".
    """
    import datetime as _dt
    current_year = str(_dt.datetime.now().year)
    
    situation = {
        "persons": {
            "citizen": {
                "annual_income": {current_year: profile.get("annual_income", 0)},
                "age": {current_year: profile.get("age", 0)},
                "is_farmer": {current_year: profile.get("is_farmer", False)},
                "state": {current_year: profile.get("state", "Unknown")},
                "caste_category": {current_year: profile.get("caste_category", "General")},
                "gender": {current_year: profile.get("gender", "Unknown")},
                "is_bpl": {current_year: profile.get("is_bpl", False)},
                "land_size_hectares": {current_year: profile.get("land_size_hectares", 0.0)},
                "is_disabled": {current_year: profile.get("is_disabled", False)},
                "occupation": {current_year: profile.get("occupation", "Unknown")},
            }
        },
        "households": {"household": {"members": ["citizen"]}}
    }
    
    # CRITICAL FIX: Use the SimulationBuilder to properly inject the dictionary!
    builder = SimulationBuilder()
    simulation = builder.build_from_dict(TAX_SYSTEM, situation)
    
    results = {}
    for var in ELIGIBILITY_VARIABLES:
        results[var] = bool(simulation.calculate(var, current_year)[0])
        
    return results