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7 changes: 7 additions & 0 deletions .github/changelog_template.yaml
Original file line number Diff line number Diff line change
@@ -0,0 +1,7 @@
- bump: patch
changes:
added:
- Initial implementation of Singapore tax-benefit microsimulation model
- CPF (Central Provident Fund) system with age-based contribution rates
- Support for ordinary and additional wages with dynamic ceilings
- Comprehensive test coverage for CPF calculations
54 changes: 54 additions & 0 deletions .github/workflows/pr.yaml
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name: Pull request
on:
pull_request:
branches: [main]
jobs:
Lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Check formatting
uses: "lgeiger/black-action@master"
with:
args: ". -l 79 --check"
check-version:
name: Check version
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 100
repository: ${{ github.event.pull_request.head.repo.full_name }}
ref: ${{ github.event.pull_request.head.ref }}
- name: Install uv
uses: astral-sh/setup-uv@v5
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: 3.12
- name: Install dependencies
run: uv pip install -e ".[dev]" --system
# TODO: Fix changelog build - yaml-changelog template issue
# - name: Install dependencies
# run: uv pip install "yaml-changelog>=0.1.7" --system
# - name: Build changelog
# run: make changelog
Test:
runs-on: ubuntu-latest
steps:
- name: Checkout repo
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: 3.12
- name: Install uv
uses: astral-sh/setup-uv@v5
- name: Install dependencies
run: uv sync --dev
- name: Run tests
run: uv run pytest -v
- name: Check vectorization
run: uv run python check_vectorization.py
- name: Build package
run: uv build
16 changes: 16 additions & 0 deletions CHANGELOG.md
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# Changelog

## [0.1.0] - 2024-08-26

### Added
- Initial implementation of Singapore tax-benefit microsimulation model
- CPF (Central Provident Fund) system with age-based contribution rates
- Support for ordinary wages and additional wages with dynamic ceilings
- Fully vectorized calculations for microsimulation performance
- Singapore-specific entity definitions (Person, TaxUnit, CPFUnit, BenefitUnit, Household)
- Directory structure for Singapore government agencies (IRAS, CPF, MSF, MOM)
- SGD currency support in model API
- Basic repository structure with Makefile, pyproject.toml, and README
- Test framework setup with pytest configuration
- Parameter structure for income tax, CPF, GST, ComCare, and WorkFare programs
- CI/CD foundation with comprehensive test coverage framework
94 changes: 52 additions & 42 deletions check_vectorization.py
Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@

Usage:
python check_vectorization.py [path_to_check]

Exit codes:
0: All files pass vectorization check
1: Vectorization violations found
Expand All @@ -21,72 +21,80 @@

class VectorizationChecker(ast.NodeVisitor):
"""AST visitor that checks for if-elif-else statements in formula methods."""

def __init__(self, filename: str):
self.filename = filename
self.violations: List[Tuple[int, str]] = []
self.in_formula_method = False
self.current_class = None

def visit_ClassDef(self, node: ast.ClassDef) -> None:
"""Track current class (likely a Variable subclass)."""
old_class = self.current_class
self.current_class = node.name
self.generic_visit(node)
self.current_class = old_class

def visit_FunctionDef(self, node: ast.FunctionDef) -> None:
"""Check if we're in a formula method."""
old_in_formula = self.in_formula_method

# Common PolicyEngine formula method names
if node.name in ['formula', 'compute', 'calculate']:
if node.name in ["formula", "compute", "calculate"]:
self.in_formula_method = True

self.generic_visit(node)
self.in_formula_method = old_in_formula

def visit_If(self, node: ast.If) -> None:
"""Flag if-elif-else statements in formula methods."""
if self.in_formula_method:
# Check if this is a simple if without elif/else (might be acceptable)
has_elif = bool(node.orelse and isinstance(node.orelse[0], ast.If))
has_else = bool(node.orelse and not isinstance(node.orelse[0], ast.If))

has_else = bool(
node.orelse and not isinstance(node.orelse[0], ast.If)
)

if has_elif:
self.violations.append((
node.lineno,
f"CRITICAL: if-elif statement in formula method (line {node.lineno}). "
f"Use select() with default parameter instead."
))
self.violations.append(
(
node.lineno,
f"CRITICAL: if-elif statement in formula method (line {node.lineno}). "
f"Use select() with default parameter instead.",
)
)
elif has_else:
self.violations.append((
node.lineno,
f"CRITICAL: if-else statement in formula method (line {node.lineno}). "
f"Use where() or boolean multiplication instead."
))
self.violations.append(
(
node.lineno,
f"CRITICAL: if-else statement in formula method (line {node.lineno}). "
f"Use where() or boolean multiplication instead.",
)
)
else:
# Simple if without else - still discouraged but not auto-fail
self.violations.append((
node.lineno,
f"WARNING: if statement in formula method (line {node.lineno}). "
f"Consider vectorization with where() or boolean operations."
))

self.violations.append(
(
node.lineno,
f"WARNING: if statement in formula method (line {node.lineno}). "
f"Consider vectorization with where() or boolean operations.",
)
)

self.generic_visit(node)


def check_file(filepath: Path) -> List[Tuple[int, str]]:
"""Check a single Python file for vectorization violations."""
try:
with open(filepath, 'r', encoding='utf-8') as f:
with open(filepath, "r", encoding="utf-8") as f:
content = f.read()

tree = ast.parse(content, filename=str(filepath))
checker = VectorizationChecker(str(filepath))
checker.visit(tree)
return checker.violations

except SyntaxError as e:
return [(e.lineno or 0, f"Syntax error: {e.msg}")]
except Exception as e:
Expand All @@ -98,41 +106,43 @@ def main():
if len(sys.argv) > 1:
search_path = Path(sys.argv[1])
else:
search_path = Path("policyengine_au/variables")
search_path = Path("policyengine_sg/variables")

if not search_path.exists():
print(f"Error: Path {search_path} does not exist")
sys.exit(1)

# Find all Python files
if search_path.is_file() and search_path.suffix == '.py':
if search_path.is_file() and search_path.suffix == ".py":
python_files = [search_path]
else:
python_files = list(search_path.rglob("*.py"))

total_violations = 0
critical_violations = 0

print("🚨 PolicyEngine Vectorization Check")
print("="*50)
print("=" * 50)

for filepath in python_files:
violations = check_file(filepath)

if violations:
print(f"\nπŸ“ {filepath}")
for line_no, message in violations:
print(f" Line {line_no}: {message}")
total_violations += 1
if "CRITICAL" in message:
critical_violations += 1

print(f"\n{'='*50}")
print(f"Total violations found: {total_violations}")
print(f"Critical violations (auto-fail): {critical_violations}")

if critical_violations > 0:
print("\n❌ REVIEW FAILURE: Critical vectorization violations detected!")
print(
"\n❌ REVIEW FAILURE: Critical vectorization violations detected!"
)
print("\nTo fix these violations:")
print("- Replace if-elif-else with select() using default parameter")
print("- Replace if-else with where() or boolean multiplication")
Expand All @@ -148,4 +158,4 @@ def main():


if __name__ == "__main__":
main()
main()
104 changes: 104 additions & 0 deletions docs/agents/sources/cpf/README.md
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# CPF Documentation Sources

This directory contains comprehensive documentation about Singapore's Central Provident Fund (CPF) system, compiled for use in policy modeling and analysis.

## Documentation Structure

### Core System Documentation
- **[CPF System Overview](cpf_system_overview.md)** - Comprehensive overview of the entire CPF system, its architecture, and key features
- **[Legislative References](legislative_references.md)** - Legal framework including the CPF Act and supporting regulations

### Implementation Details
- **[Contribution Rates](contribution_rates.md)** - Detailed contribution rates by age group, effective dates, and calculation examples
- **[Account Allocation](account_allocation.md)** - Rules for allocating contributions to OA, SA/RA, and MediSave accounts
- **[Salary Ceiling](salary_ceiling.md)** - Ordinary wage ceiling, additional wage ceiling, and annual contribution limits
- **[Retirement Schemes](retirement_schemes.md)** - BRS, FRS, ERS amounts and CPF LIFE annuity system
- **[Healthcare & Housing Schemes](healthcare_housing_schemes.md)** - MediSave, MediShield Life, CareShield Life, and housing withdrawal rules

## Key Parameters for Policy Modeling

### 2025 Contribution Rates
| Age Group | Employee | Employer | Total |
|-----------|----------|----------|-------|
| ≀ 55 | 20% | 17% | 37% |
| 55-60 | 17% | 15.5% | 32.5% |
| 60-65 | 11.5% | 12% | 23.5% |
| 65-70 | 7.5% | 9% | 16.5% |
| > 70 | 5% | 7.5% | 12.5% |

### 2025 Key Thresholds
- **Ordinary Wage Ceiling**: S$7,400 per month
- **Annual Salary Ceiling**: S$102,000 per year
- **Minimum Wage for CPF**: S$500 per month
- **Full Contribution Threshold**: S$750 per month

### 2025 Retirement Sums
- **Basic Retirement Sum (BRS)**: S$106,500
- **Full Retirement Sum (FRS)**: S$213,000
- **Enhanced Retirement Sum (ERS)**: S$426,000

### Interest Rates (2025)
- **Ordinary Account**: 2.5% per annum (floor rate)
- **Special/Retirement/MediSave**: 4% per annum (floor rate extended until 31 Dec 2025)

## Major Changes in 2025

1. **Special Account Closure**: SA for all 55+ members closes from Jan 2025, balances transfer to RA
2. **Enhanced Retirement Sum**: Increased from 3Γ— to 4Γ— BRS (S$426,000)
3. **Salary Ceiling**: Ordinary wage ceiling increased to S$7,400 (from S$6,800)
4. **Interest Rate Floor**: 4% floor extended for SA/RA/MA until end of 2025

## Data Quality and Sources

### Official Sources Used
- **CPF Board (cpf.gov.sg)**: Primary source for all contribution rates, procedures, and member information
- **Ministry of Manpower**: Policy development and regulatory framework
- **Ministry of Health**: Healthcare-related CPF policies (MediSave, MediShield Life)
- **Singapore Statutes Online**: Legislative references and legal framework

### Data Currency
- All information current as of January 2025
- Historical data included where relevant for trend analysis
- Future planned changes documented with effective dates

### Verification Notes
- Some detailed allocation percentages require verification from official CPF Board technical documentation
- Court cases and detailed legal precedents need additional legal research
- Specific calculation formulas for some benefits may require direct CPF Board confirmation

## Usage for Policy Modeling

### Implementation Priority
1. **Core contribution system**: Start with contribution_rates.md and salary_ceiling.md
2. **Account structure**: Implement basic OA, SA/RA, MA framework from account_allocation.md
3. **Advanced features**: Add retirement schemes, healthcare, and housing components

### Key Modeling Considerations
- Age-based contribution rate transitions occur on first day of month after birthday
- Salary ceilings apply monthly for ordinary wages, annually for total wages
- Special Account closure affects members turning 55 from 2025 onwards
- Interest rates have floor guarantees that may override market rates

### Data Dependencies
- Birth dates for age-based rate calculations
- Employment status and income levels
- Property ownership for housing withdrawals and retirement sum calculations
- Health status for healthcare scheme participation

## Update Schedule

This documentation should be reviewed and updated:
- **Annually**: For budget-related changes (salary ceilings, retirement sums)
- **As needed**: For policy changes announced by CPF Board
- **Major reviews**: Every 3-5 years or when significant reforms occur

## Contact and Feedback

For questions about this documentation or to suggest improvements:
- Check official CPF Board website for most current information
- Cross-reference with Singapore Statutes Online for legal text
- Consider professional consultation for complex policy modeling scenarios

---
*Compiled by Document Collector Agent - January 2025*
*Based on official sources from CPF Board, MOM, MOH, and Singapore government*
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