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from pathlib import Path

policy_routes_path = Path("backend/app/api/routes/policy_routes.py")
code = policy_routes_path.read_text(encoding="utf-8")

extra_imports = """from datetime import date

from sqlalchemy import select

from backend.app.storage.models.entities import DriveModel, StudentModel

from backend.app.storage.repositories.mappers import student_entity_to_domain

from backend.app.domain.models import Drive

from backend.app.domain.eligibility.ast import (

    ActiveBacklogsMaxRule,

    BranchInRule,

    CGPAMinRule,

    GapYearsMaxRule,

    PercentageMinRule,

    RuleNode,

    RuleSet,

)

from backend.app.domain.eligibility.evaluator import EligibilityEvaluator, EligibilityStatus

from backend.app.domain.policy.checker import policy_check

from backend.app.domain.policy.models import PolicyCheckStatus

from backend.app.api.auth.dependencies import require_officer_or_coordinator

"""

# Insert imports if not present
if "from backend.app.storage.repositories.mappers import student_entity_to_domain" not in code:
    code = extra_imports + code

simulate_endpoint = '''



class PolicySimulateRequest(BaseModel):

    student_id: str

    drive_id: str

    policy_id: str | None = None

    override_policy: dict[str, Any] | None = None

    as_of_date: date | None = None





@router.post("/simulate")

def simulate_policy_check(

    req: PolicySimulateRequest,

    current_user: UserModel = Depends(require_officer_or_coordinator),

    db: Session = Depends(get_db),

) -> dict[str, Any]:

    """

    Interactive Policy Simulator: Evaluates candidate eligibility and offer policy enforcement

    with live parameter overrides, AST rule verdicts, and cited clauses.

    """

    global _active_policy



    # 1. Fetch Student

    s_stmt = select(StudentModel).where(

        (StudentModel.id == req.student_id) | (StudentModel.roll_no == req.student_id)

    )

    s_entity = db.execute(s_stmt).scalar_one_or_none()

    if not s_entity:

        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=f"Student '{req.student_id}' not found.")

    student = student_entity_to_domain(s_entity)



    # 2. Fetch Drive

    d_stmt = select(DriveModel).where(DriveModel.id == req.drive_id)

    d_entity = db.execute(d_stmt).scalar_one_or_none()

    if not d_entity:

        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=f"Drive '{req.drive_id}' not found.")



    drive = Drive(

        id=d_entity.id,

        company_id=d_entity.company_id,

        company_name=d_entity.company_name,

        drive_date=d_entity.drive_date,

        ctc_lpa=d_entity.ctc_lpa,

        fixed_pay_lpa=d_entity.ctc_lpa,

    )



    # 3. Determine Policy

    if req.override_policy:

        try:

            policy = CollegeOfferPolicy(**req.override_policy)

        except Exception as e:

            raise HTTPException(status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, detail=f"Invalid override policy: {e}")

    elif req.policy_id:

        catalog = {

            STRICT_ONE_OFFER_POLICY.id: STRICT_ONE_OFFER_POLICY,

            PROGRESSIVE_MULTIPLIER_POLICY.id: PROGRESSIVE_MULTIPLIER_POLICY,

            TIERED_QUOTA_POLICY.id: TIERED_QUOTA_POLICY,

        }

        policy = catalog.get(req.policy_id, _active_policy)

    else:

        policy = _active_policy



    ref_date = req.as_of_date or drive.drive_date



    # 4. Run Policy Check

    pol_res = policy_check(student=student, drive=drive, policy=policy, as_of=ref_date)



    # 5. Run Academic Rule Check

    rules: list[RuleNode] = []

    latest_req = d_entity.requirement_versions[0] if d_entity.requirement_versions else None

    if latest_req:

        if latest_req.min_cgpa > 0:

            rules.append(CGPAMinRule(id="rule_cgpa", min_cgpa=latest_req.min_cgpa))

        if latest_req.min_tenth_percentage > 0:

            rules.append(PercentageMinRule(id="rule_10th", qualification="10th", min_percentage=latest_req.min_tenth_percentage))

        if latest_req.min_twelfth_percentage:

            rules.append(PercentageMinRule(id="rule_12th", qualification="12th", min_percentage=latest_req.min_twelfth_percentage))

        if latest_req.allowed_branches_json:

            rules.append(BranchInRule(id="rule_branches", allowed_branches=latest_req.allowed_branches_json))

        if latest_req.max_active_backlogs is not None:

            rules.append(ActiveBacklogsMaxRule(id="rule_backlogs", max_backlogs=latest_req.max_active_backlogs))

        if latest_req.max_gap_years is not None:

            rules.append(GapYearsMaxRule(id="rule_gap", max_gap_years=latest_req.max_gap_years))



    rule_set = RuleSet(id=f"rs_{d_entity.id}", name=f"{d_entity.company_name} Criteria", rules=rules)

    evaluator = EligibilityEvaluator()

    acad_res = evaluator.evaluate(student, rule_set, drive_id=d_entity.id, as_of_date=ref_date)



    # 6. Combined Status

    acad_ok = acad_res.status == EligibilityStatus.ELIGIBLE

    pol_ok = pol_res.status == PolicyCheckStatus.ALLOWED



    if acad_ok and pol_ok:

        combined_status = "ELIGIBLE"

    elif not pol_ok:

        combined_status = "POLICY_BLOCKED"

    elif acad_res.status == EligibilityStatus.FLAGGED:

        combined_status = "NEEDS_REVIEW"

    else:

        combined_status = "ACADEMICALLY_INELIGIBLE"



    return {

        "student": {

            "id": student.id,

            "roll_no": student.roll_no,

            "name": student.name,

            "branch": student.branch,

            "cgpa": student.cgpa,

            "tenth_percentage": student.tenth_percentage,

            "twelfth_percentage": student.twelfth_percentage,

            "diploma_percentage": student.diploma_percentage,

            "active_backlogs": len(student.active_backlogs),

            "history_backlogs": len(student.backlogs),

            "existing_offers": [

                {

                    "company": o.company,

                    "ctc_lpa": o.ctc_lpa,

                    "fixed_pay_lpa": o.fixed_pay_lpa,

                    "offer_date": o.offer_date.isoformat(),

                    "source": o.source.value,

                    "status": o.status.value,

                    "is_dream": o.is_dream,

                }

                for o in student.existing_offers

            ],

        },

        "drive": {

            "id": drive.id,

            "company_name": drive.company_name,

            "drive_date": drive.drive_date.isoformat(),

            "ctc_lpa": drive.ctc_lpa,

            "fixed_pay_lpa": getattr(drive, "fixed_pay_lpa", None),

        },

        "policy_used": {

            "id": policy.id,

            "name": policy.name,

            "max_total_offers": policy.max_total_offers,

            "max_dream_offers": policy.max_dream_offers,

            "dream_threshold_lpa": policy.dream_threshold_lpa,

            "allow_upgrade_to_dream": policy.allow_upgrade_to_dream,

            "upgrade_ctc_multiplier": policy.upgrade_ctc_multiplier,

            "threshold_basis": policy.threshold_basis.value,

            "is_threshold_inclusive": policy.is_threshold_inclusive,

            "count_off_campus_offers": policy.count_off_campus_offers,

            "count_rejected_offers": policy.count_rejected_offers,

            "count_revoked_offers": policy.count_revoked_offers,

            "cooling_period_days": policy.cooling_period_days,

        },

        "policy_decision": {

            "status": pol_res.status.value,

            "clause_id": pol_res.clause_id,

            "plain_english_reason": pol_res.plain_english_reason,

            "what_would_unblock": pol_res.what_would_unblock,

            "countable_offers_count": pol_res.countable_offers_count,

            "highest_current_ctc_lpa": pol_res.highest_current_ctc_lpa,

        },

        "academic_decision": {

            "status": acad_res.status.value,

            "overall_student_reason": acad_res.overall_student_reason,

            "passed_rules": [r.model_dump() for r in acad_res.passed_rules],

            "failed_rules": [r.model_dump() for r in acad_res.failed_rules],

            "data_snapshot_hash": acad_res.data_snapshot_hash,

        },

        "combined_status": combined_status,

    }

'''

code += simulate_endpoint
policy_routes_path.write_text(code, encoding="utf-8")
print("Added simulation endpoint to policy_routes.py")