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---
name: policyengine-period-patterns
description: PolicyEngine period handling - converting between YEAR, MONTH definition periods and testing patterns
---
# PolicyEngine Period Patterns
Essential patterns for handling different definition periods (YEAR, MONTH) in PolicyEngine.
## Quick Reference
| From | To | Method | Example |
|------|-----|--------|---------|
| MONTH formula | YEAR variable | `period.this_year` | `age = person("age", period.this_year)` |
| YEAR formula | MONTH variable | `period.first_month` | `person("monthly_rent", period.first_month)` |
| Any | Year integer | `period.start.year` | `year = period.start.year` |
| Any | Month integer | `period.start.month` | `month = period.start.month` |
| Annual → Monthly | Divide by 12 | `/ MONTHS_IN_YEAR` | `monthly = annual / 12` |
| Monthly → Annual | Multiply by 12 | `* MONTHS_IN_YEAR` | `annual = monthly * 12` |
---
## 1. Definition Periods in PolicyEngine US
### Available Periods
- **YEAR**: Annual values (most common - 2,883 variables)
- **MONTH**: Monthly values (395 variables)
- **ETERNITY**: Never changes (1 variable - structural relationships)
**Note:** QUARTER is NOT used in PolicyEngine US
### Examples
```python
from policyengine_us.model_api import *
class annual_income(Variable):
definition_period = YEAR # Annual amount
class monthly_benefit(Variable):
definition_period = MONTH # Monthly amount
class is_head(Variable):
definition_period = ETERNITY # Never changes
```
---
## 2. The Golden Rule
**When accessing a variable with a different definition period than your formula, you must specify the target period explicitly.**
```python
# ✅ CORRECT - MONTH formula accessing YEAR variable
def formula(person, period, parameters):
age = person("age", period.this_year) # Gets actual age
# ❌ WRONG - Would get age/12
def formula(person, period, parameters):
age = person("age", period) # BAD: gives age divided by 12!
```
---
## 3. Common Patterns
### Pattern 1: MONTH Formula Accessing YEAR Variable
**Use Case**: Monthly benefits need annual demographic data
```python
class monthly_benefit_eligible(Variable):
value_type = bool
entity = Person
definition_period = MONTH # Monthly eligibility
def formula(person, period, parameters):
# Age is YEAR-defined, use period.this_year
age = person("age", period.this_year) # ✅ Gets full age
# is_pregnant is MONTH-defined, just use period
is_pregnant = person("is_pregnant", period) # ✅ Same period
return (age < 18) | is_pregnant
```
### Pattern 2: Accessing Stock Variables (Assets)
**Stock variables** (point-in-time values like assets) are typically YEAR-defined
```python
class tanf_countable_resources(Variable):
value_type = float
entity = SPMUnit
definition_period = MONTH # Monthly check
def formula(spm_unit, period, parameters):
# Assets are stocks (YEAR-defined)
cash = spm_unit("cash_assets", period.this_year) # ✅
vehicles = spm_unit("vehicles_value", period.this_year) # ✅
p = parameters(period).gov.tanf.resources
return cash + max_(0, vehicles - p.vehicle_exemption)
```
---
## 4. Understanding Auto-Conversion: When to Use `period` vs `period.this_year`
### The Key Question
**When accessing a YEAR variable from a MONTH formula, should the value be divided by 12?**
- **If YES** → Use `period` (let auto-conversion happen)
- **If NO** → Use `period.this_year` (prevent auto-conversion)
### When Auto-Conversion Makes Sense (Use `period`)
**Flow variables** where you want the monthly portion:
```python
class monthly_benefit(Variable):
definition_period = MONTH
def formula(person, period, parameters):
# ✅ Use period - want $2,000/month from $24,000/year
monthly_income = person("employment_income", period)
# Compare to monthly threshold
p = parameters(period).gov.program
return monthly_income < p.monthly_threshold
```
Why: If annual income is $24,000, you want $2,000/month for monthly eligibility checks.
### When Auto-Conversion Breaks Things (Use `period.this_year`)
**Stock variables and counts** where division by 12 is nonsensical:
**1. Age**
```python
# ❌ WRONG - gives age/12
age = person("age", period) # 30 years → 2.5 "monthly age" ???
# ✅ CORRECT - gives actual age
age = person("age", period.this_year) # 30 years
```
**2. Assets/Resources (Stocks)**
```python
# ❌ WRONG - gives assets/12
assets = spm_unit("spm_unit_assets", period) # $12,000 → $1,000 ???
# ✅ CORRECT - gives point-in-time value
assets = spm_unit("spm_unit_assets", period.this_year) # $12,000
```
**3. Counts (Household Size, Number of Children)**
```python
# ❌ WRONG - gives count/12
size = spm_unit("household_size", period) # 4 people → 0.33 people ???
# ✅ CORRECT - gives actual count
size = spm_unit("household_size", period.this_year) # 4 people
```
**4. Boolean/Enum Variables**
```python
# ❌ WRONG - weird fractional conversion
status = person("is_disabled", period)
# ✅ CORRECT - actual status
status = person("is_disabled", period.this_year)
```
### Decision Tree
```
Accessing YEAR variable from MONTH formula?
├─ Is it an INCOME or FLOW variable?
│ └─ YES → Use period (auto-convert to monthly) ✅
│ Example: employment_income, self_employment_income
└─ Is it AGE, ASSET, COUNT, or BOOLEAN?
└─ YES → Use period.this_year (prevent conversion) ✅
Examples: age, assets, household_size, is_disabled
```
### Complete Example
```python
class monthly_tanf_eligible(Variable):
value_type = bool
entity = Person
definition_period = MONTH
def formula(person, period, parameters):
# Age: Use period.this_year (don't want age/12)
age = person("age", period.this_year) # ✅
# Assets: Use period.this_year (don't want assets/12)
assets = person("assets", period.this_year) # ✅
# Income: Use period (DO want monthly income from annual)
monthly_income = person("employment_income", period) # ✅
p = parameters(period).gov.tanf.eligibility
age_eligible = (age >= 18) & (age <= 64)
asset_eligible = assets <= p.asset_limit
income_eligible = monthly_income <= p.monthly_income_limit
return age_eligible & asset_eligible & income_eligible
```
### Quick Reference for Auto-Conversion
| Variable Type | Use `period` | Use `period.this_year` | Why |
|--------------|-------------|----------------------|-----|
| Income (flow) | ✅ | ❌ | Want monthly portion |
| Age | ❌ | ✅ | Age/12 is meaningless |
| Assets/Resources (stock) | ❌ | ✅ | Point-in-time value |
| Household size/counts | ❌ | ✅ | Can't divide people |
| Boolean/status flags | ❌ | ✅ | True/12 is nonsense |
| Demographic attributes | ❌ | ✅ | Properties don't divide |
**Rule of thumb:** If dividing by 12 makes the value meaningless → use `period.this_year`
### Pattern 3: Converting Annual to Monthly
```python
class monthly_income_limit(Variable):
definition_period = MONTH
def formula(household, period, parameters):
# Get annual parameter
annual_limit = parameters(period).gov.program.annual_limit
# Convert to monthly
monthly_limit = annual_limit / MONTHS_IN_YEAR # ✅
return monthly_limit
```
### Pattern 4: Getting Period Components
```python
class federal_poverty_guideline(Variable):
definition_period = MONTH
def formula(entity, period, parameters):
# Get year and month as integers
year = period.start.year # e.g., 2024
month = period.start.month # e.g., 1-12
# FPG updates October 1st
if month >= 10:
instant_str = f"{year}-10-01"
else:
instant_str = f"{year - 1}-10-01"
# Access parameters at specific date
p_fpg = parameters(instant_str).gov.hhs.fpg
return p_fpg.first_person / MONTHS_IN_YEAR
```
---
## 5. Parameter Access
### Standard Access
```python
def formula(entity, period, parameters):
# Parameters use current period
p = parameters(period).gov.program.benefit
return p.amount
```
### Specific Date Access
```python
def formula(entity, period, parameters):
# Access parameters at specific instant
p = parameters("2024-10-01").gov.hhs.fpg
return p.amount
```
**Important**: Never use `parameters(period.this_year)` - parameters always use the formula's period
---
## 6. Testing with Different Periods
### Critical Testing Rules
**For MONTH period tests** (`period: 2025-01`):
- **Input** YEAR variables as **annual amounts**
- **Output** YEAR variables show **monthly values** (÷12)
### Test Examples
**Example 1: Basic MONTH Test**
```yaml
- name: Monthly income test
period: 2025-01 # MONTH period
input:
people:
person1:
employment_income: 12_000 # Input: Annual
output:
employment_income: 1_000 # Output: Monthly (12_000/12)
```
**Example 2: Mixed Variables**
```yaml
- name: Eligibility with age and income
period: 2024-01 # MONTH period
input:
age: 30 # Age doesn't convert
employment_income: 24_000 # Annual input
output:
age: 30 # Age stays same
employment_income: 2_000 # Monthly output
monthly_eligible: true
```
**Example 3: YEAR Period Test**
```yaml
- name: Annual calculation
period: 2024 # YEAR period
input:
employment_income: 18_000 # Annual
output:
employment_income: 18_000 # Annual output
annual_tax: 2_000
```
### Testing Best Practices
1. **Always specify period explicitly**
2. **Input YEAR variables as annual amounts**
3. **Expect monthly output for YEAR variables in MONTH tests**
4. **Use underscore separators**: `12_000` not `12000`
5. **Add calculation comments** in integration tests
---
## 7. Common Mistakes and Solutions
### ❌ Mistake 1: Not Using period.this_year
```python
# WRONG - From MONTH formula
def formula(person, period, parameters):
age = person("age", period) # Gets age/12!
# CORRECT
def formula(person, period, parameters):
age = person("age", period.this_year) # Gets actual age
```
### ❌ Mistake 2: Mixing Annual and Monthly
```python
# WRONG - Comparing different units
monthly_income = person("monthly_income", period)
annual_limit = parameters(period).gov.limit
if monthly_income < annual_limit: # BAD comparison
# CORRECT - Convert to same units
monthly_income = person("monthly_income", period)
annual_limit = parameters(period).gov.limit
monthly_limit = annual_limit / MONTHS_IN_YEAR
if monthly_income < monthly_limit: # Good comparison
```
### ❌ Mistake 3: Wrong Test Expectations
```yaml
# WRONG - Expecting annual in MONTH test
period: 2024-01
input:
employment_income: 12_000
output:
employment_income: 12_000 # Wrong!
# CORRECT
period: 2024-01
input:
employment_income: 12_000 # Annual input
output:
employment_income: 1_000 # Monthly output
```
---
## 8. Quick Patterns Cheat Sheet
### Accessing Variables
| Your Formula | Target Variable | Use |
|--------------|-----------------|-----|
| MONTH | YEAR | `period.this_year` |
| YEAR | MONTH | `period.first_month` |
| Any | ETERNITY | `period` |
### Common Variables That Need period.this_year
- `age`
- `household_size`, `spm_unit_size`
- `cash_assets`, `vehicles_value`
- `state_name`, `state_code`
- Any demographic variable
### Period Conversion
```python
# Annual to monthly
monthly = annual / MONTHS_IN_YEAR
# Monthly to annual
annual = monthly * MONTHS_IN_YEAR
# Get year/month numbers
year = period.start.year # 2024
month = period.start.month # 1-12
```
---
## 9. Real-World Example
```python
class tanf_income_eligible(Variable):
value_type = bool
entity = SPMUnit
definition_period = MONTH # Monthly eligibility
def formula(spm_unit, period, parameters):
# YEAR variables need period.this_year
household_size = spm_unit("spm_unit_size", period.this_year)
state = spm_unit.household("state_code", period.this_year)
# MONTH variables use period
gross_income = spm_unit("tanf_gross_income", period)
# Parameters use period
p = parameters(period).gov.states[state].tanf
# Convert annual limit to monthly
annual_limit = p.income_limit[household_size]
monthly_limit = annual_limit / MONTHS_IN_YEAR
return gross_income <= monthly_limit
```
---
## 10. Checklist for Period Handling
When writing a formula:
- [ ] Identify your formula's `definition_period`
- [ ] Check `definition_period` of accessed variables
- [ ] Use `period.this_year` for YEAR variables from MONTH formulas
- [ ] Use `period` for parameters (not `period.this_year`)
- [ ] Convert units when comparing (annual ↔ monthly)
- [ ] Test with appropriate period values
---
## Related Skills
- **policyengine-aggregation-skill**: For summing across entities with period handling
- **policyengine-core-skill**: For understanding variable and parameter systems
---
## For Agents
1. **Always check definition_period** before accessing variables
2. **Default to period.this_year** for demographic/stock variables from MONTH formulas
3. **Test thoroughly** - period mismatches cause subtle bugs
4. **Document period conversions** in comments
5. **Follow existing patterns** in similar variables