Skip to content

Development Guidelines

NPDateTime Astronomical Calculator for Bikram Sambat

Version: 1.0
Last Updated: January 2026
Purpose: Astronomical calculation of Bikram Sambat calendar dates based on solar and lunar positions


📋 Table of Contents

  1. Project Overview
  2. Architecture Principles
  3. Module Implementation Order
  4. Code Standards
  5. Mathematical Foundations
  6. Implementation Details
  7. Testing Strategy
  8. Performance Requirements
  9. Validation Process
  10. Common Pitfalls

1. Project Overview

1.1 Goals

Primary Goal: Calculate Bikram Sambat calendar dates using astronomical positions of Sun and Moon

Secondary Goals: - Validate existing lookup table data - Generate future calendar data (beyond 2090 BS) - Provide educational tool for understanding BS calendar mechanics - Research tool for calendar scientists

1.2 Non-Goals

  • ❌ Replace lookup tables for production use (too slow)
  • ❌ Provide real-time astronomical observations
  • ❌ Calculate for dates before 2000 BS (insufficient historical data)
  • ❌ Support other calendar systems

1.3 Success Criteria

  • ✅ Match known Sankranti times within ±10 seconds
  • ✅ Match lookup table month lengths 100% for 2000-2090 BS
  • ✅ Calculate month length in < 50ms
  • ✅ Work without network/external dependencies

2. Architecture Principles

2.1 Separation of Concerns

RULE 1: Keep astronomical calculations separate from calendar logic

// CORRECT: Separation
let sun_longitude = solar::position::calculate(jd);
let month_start = calendar::find_month_start(sun_longitude);

// WRONG: Mixed concerns
let month_start = calculate_month_start_with_sun_position(jd);

RULE 2: Time conversions in one place only (core::time)

// CORRECT: Centralized
use crate::core::time::JulianDay;
let jd = JulianDay::from_gregorian(2020, 4, 14, 0.0);

// WRONG: Scattered conversions
let jd = year * 365.25 + month * 30.0; // Don't do this!

RULE 3: Constants defined once in core::constants

// CORRECT: Use constants
use crate::core::constants::ZODIAC_DEGREES;
let sign_boundary = sign_number as f64 * ZODIAC_DEGREES;

// WRONG: Magic numbers
let sign_boundary = sign_number as f64 * 30.0; // What is 30?

2.2 Modularity

Each module must be independently testable:

// Solar module works alone
#[test]
fn test_solar_position() {
    let jd = JulianDay::from_gregorian(2020, 4, 14, 0.0);
    let longitude = SolarCalculator::true_longitude(jd);
    assert!(longitude >= 0.0 && longitude < 360.0);
}

// Lunar module works alone
#[test]
fn test_lunar_position() {
    let jd = JulianDay::from_gregorian(2020, 4, 14, 0.0);
    let longitude = LunarCalculator::true_longitude(jd);
    assert!(longitude >= 0.0 && longitude < 360.0);
}

// Calendar module uses both
#[test]
fn test_tithi() {
    let jd = JulianDay::from_gregorian(2020, 4, 14, 0.0);
    let tithi = calculate_tithi(jd);
    assert!(tithi >= 1 && tithi <= 30);
}

2.3 Feature Flags

RULE 4: Support multiple accuracy levels

[features]
default = ["simple"]
simple = []           # Fast, ±10 second accuracy
high-precision = []   # Slow, ±1 second accuracy
validation = ["serde"] # For comparing with lookup tables
// Implementation
#[cfg(feature = "simple")]
pub fn sun_longitude(jd: JulianDay) -> f64 {
    // Simplified 10-term series
}

#[cfg(feature = "high-precision")]
pub fn sun_longitude(jd: JulianDay) -> f64 {
    // Full VSOP87 with 100+ terms
}

3. Module Implementation Order

Phase 1: Foundation (Week 1)

Priority: CRITICAL - DO THIS FIRST

3.1.1 Implement src/core/time.rs

Status: ✅ Already provided in project setup

Validation Tests:

#[test]
fn test_j2000_epoch() {
    let jd = JulianDay::from_gregorian(2000, 1, 1, 12.0);
    assert_eq!(jd.0, 2451545.0);
}

#[test]
fn test_bs_epoch() {
    // 2000 Baisakh 1 = 1943 April 14
    let jd = JulianDay::from_gregorian(1943, 4, 14, 0.0);
    let (y, m, d, _) = jd.to_gregorian();
    assert_eq!((y, m, d), (1943, 4, 14));
}

#[test]
fn test_round_trip() {
    let jd1 = JulianDay::from_gregorian(2020, 4, 14, 6.5);
    let (y, m, d, h) = jd1.to_gregorian();
    let jd2 = JulianDay::from_gregorian(y, m, d, h);
    assert!((jd1.0 - jd2.0).abs() < 0.0001);
}

3.1.2 Implement src/core/constants.rs

Status: ✅ Already provided

Validation: Ensure all constants match astronomical standards

#[test]
fn test_constants() {
    // Synodic month should be ~29.53 days
    assert!((SYNODIC_MONTH - 29.53).abs() < 0.01);

    // Tropical year should be ~365.24 days
    assert!((TROPICAL_YEAR - 365.24).abs() < 0.01);

    // Full circle
    assert_eq!(FULL_CIRCLE, 360.0);
}

Phase 2: Solar Calculations (Week 2)

Priority: HIGH

3.2.1 Implement src/solar/position.rs

Mathematical Foundation: Jean Meeus Chapter 25

Required Functions:

impl SolarCalculator {
    /// Mean longitude of Sun
    /// Accuracy: ±0.01 degrees
    /// Reference: Meeus eq. 25.2
    pub fn mean_longitude(jd: JulianDay) -> f64 {
        let t = jd.centuries_since_j2000();

        // L0 = 280.46646° + 36000.76983°T + 0.0003032°T²
        let l0 = 280.46646 + 36000.76983 * t + 0.0003032 * t * t;

        normalize_degrees(l0)
    }

    /// Mean anomaly of Sun
    /// Accuracy: ±0.01 degrees
    /// Reference: Meeus eq. 25.3
    pub fn mean_anomaly(jd: JulianDay) -> f64 {
        let t = jd.centuries_since_j2000();

        // M = 357.52911° + 35999.05029°T - 0.0001537°T²
        let m = 357.52911 + 35999.05029 * t - 0.0001537 * t * t;

        normalize_degrees(m)
    }

    /// Equation of center (Sun)
    /// Accuracy: ±0.001 degrees
    /// Reference: Meeus eq. 25.4
    pub fn equation_of_center(jd: JulianDay) -> f64 {
        let t = jd.centuries_since_j2000();
        let m = Self::mean_anomaly(jd) * DEG_TO_RAD;

        // C = (1.914602° - 0.004817°T - 0.000014°T²) sin M
        //   + (0.019993° - 0.000101°T) sin 2M
        //   + 0.000289° sin 3M

        let c = (1.914602 - 0.004817 * t - 0.000014 * t * t) * m.sin()
            + (0.019993 - 0.000101 * t) * (2.0 * m).sin()
            + 0.000289 * (3.0 * m).sin();

        c
    }

    /// True longitude of Sun
    /// Accuracy: ±0.01 degrees
    pub fn true_longitude(jd: JulianDay) -> f64 {
        let l0 = Self::mean_longitude(jd);
        let c = Self::equation_of_center(jd);
        normalize_degrees(l0 + c)
    }

    /// Apparent longitude (with nutation and aberration)
    /// Accuracy: ±0.001 degrees
    /// Reference: Meeus eq. 25.8, 25.9
    pub fn apparent_longitude(jd: JulianDay) -> f64 {
        let true_long = Self::true_longitude(jd);
        let t = jd.centuries_since_j2000();

        // Nutation in longitude (simplified)
        // Ω = 125.04° - 1934.136°T
        let omega = 125.04 - 1934.136 * t;
        let nutation = -0.00569 - 0.00478 * (omega * DEG_TO_RAD).sin();

        // Aberration = -0.00569°
        let aberration = -0.00569;

        normalize_degrees(true_long + nutation + aberration)
    }
}

Validation Tests:

#[test]
fn test_sun_j2000() {
    // At J2000.0, Sun's mean longitude should be ~280.46°
    let jd = JulianDay(J2000_0);
    let l0 = SolarCalculator::mean_longitude(jd);
    assert!((l0 - 280.46).abs() < 0.1);
}

#[test]
fn test_sun_2020_april() {
    // April 14, 2020 - Sun should be in Aries (~24° in zodiac)
    let jd = JulianDay::from_gregorian(2020, 4, 14, 12.0);
    let longitude = SolarCalculator::apparent_longitude(jd);

    // Sun in Aries: 0° - 30°
    assert!(longitude >= 0.0 && longitude < 30.0);
}

#[test]
fn test_sun_monotonic() {
    // Sun's longitude should increase monotonically
    let jd1 = JulianDay::from_gregorian(2020, 1, 1, 0.0);
    let jd2 = jd1.add_days(1.0);

    let long1 = SolarCalculator::apparent_longitude(jd1);
    let long2 = SolarCalculator::apparent_longitude(jd2);

    // Sun moves ~1° per day
    let diff = (long2 - long1 + 360.0).rem_euclid(360.0);
    assert!(diff > 0.9 && diff < 1.1);
}

IMPORTANT NOTES:

  1. Always use normalize_degrees() to keep angles in 0-360 range
  2. Convert to radians when using trigonometric functions
  3. Use double precision (f64) throughout
  4. Reference Meeus equation numbers in comments

3.2.2 Implement src/solar/sankranti.rs

Purpose: Find exact time when Sun enters a zodiac sign

Algorithm: Newton-Raphson iteration

use crate::core::{JulianDay, constants::*};
use crate::solar::position::SolarCalculator;

/// Find Sankranti (Sun entering zodiac sign)
/// 
/// # Arguments
/// * `year` - BS year
/// * `month` - BS month (1-12)
/// 
/// # Returns
/// Julian Day when Sun enters corresponding zodiac sign
/// 
/// # Algorithm
/// Uses Newton-Raphson iteration to solve:
/// SunLongitude(t) = TargetLongitude
/// 
/// # Accuracy
/// ±10 seconds for simple mode
/// ±1 second for high-precision mode
pub fn find_sankranti(bs_year: i32, bs_month: u8) -> Result<JulianDay, AstroError> {
    // 1. Validate input
    if bs_month < 1 || bs_month > 12 {
        return Err(AstroError::InvalidMonth(bs_month));
    }

    // 2. Convert BS month to zodiac sign
    // Baisakh (month 1) = Aries (0°)
    // Jestha (month 2) = Taurus (30°)
    // etc.
    let zodiac_sign = bs_month - 1;
    let target_longitude = (zodiac_sign as f64) * ZODIAC_DEGREES;

    // 3. Initial guess: approximate date from BS year
    let ad_year_approx = bs_year - 57; // 2000 BS ≈ 1943 AD
    let ad_month_approx = bs_month as i32; // Rough approximation

    let mut jd = JulianDay::from_gregorian(
        ad_year_approx, 
        ad_month_approx as u8, 
        15, 
        0.0
    );

    // 4. Newton-Raphson iteration
    const MAX_ITERATIONS: usize = 20;
    const TOLERANCE: f64 = 1.0 / 86400.0; // 1 second in days

    for iteration in 0..MAX_ITERATIONS {
        let sun_long = SolarCalculator::apparent_longitude(jd);

        // Calculate angular difference (handle 360° wrap)
        let diff = angular_difference(target_longitude, sun_long);

        // Convergence check
        if diff.abs() < 0.001 { // 0.001° ≈ 2.4 seconds
            return Ok(jd);
        }

        // Sun moves ~0.985647° per day
        const SUN_DAILY_MOTION: f64 = 0.985647;
        let dt = diff / SUN_DAILY_MOTION;

        // Update Julian Day
        jd = jd.add_days(dt);

        // Safety check: shouldn't move more than 60 days
        if dt.abs() > 60.0 {
            return Err(AstroError::ConvergenceFailed);
        }
    }

    Err(AstroError::MaxIterationsExceeded)
}

/// Calculate angular difference accounting for 360° wrap
/// Returns value in range [-180, +180]
fn angular_difference(target: f64, current: f64) -> f64 {
    let diff = target - current;

    // Normalize to [-180, +180]
    if diff > 180.0 {
        diff - 360.0
    } else if diff < -180.0 {
        diff + 360.0
    } else {
        diff
    }
}

/// Error types for astronomical calculations
#[derive(Debug, Clone, thiserror::Error)]
pub enum AstroError {
    #[error("Invalid month: {0}")]
    InvalidMonth(u8),

    #[error("Convergence failed")]
    ConvergenceFailed,

    #[error("Maximum iterations exceeded")]
    MaxIterationsExceeded,
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_sankranti_2077_baisakh() {
        // 2077 Baisakh 1 (Mesh Sankranti) = April 13, 2020
        let jd = find_sankranti(2077, 1).unwrap();
        let (year, month, day, _) = jd.to_gregorian();

        assert_eq!(year, 2020);
        assert_eq!(month, 4);
        // Day should be 13 or 14 (depends on exact time)
        assert!(day >= 13 && day <= 14);
    }

    #[test]
    fn test_all_months_2077() {
        // All 12 months should have valid Sankranti
        for month in 1..=12 {
            let result = find_sankranti(2077, month);
            assert!(result.is_ok(), "Failed for month {}", month);
        }
    }

    #[test]
    fn test_angular_difference() {
        assert_eq!(angular_difference(10.0, 5.0), 5.0);
        assert_eq!(angular_difference(5.0, 10.0), -5.0);
        assert_eq!(angular_difference(10.0, 350.0), 20.0);
        assert_eq!(angular_difference(350.0, 10.0), -20.0);
    }
}

CRITICAL RULES for Sankranti Finder:

  1. Always handle 360° wrap - Use angular_difference() function
  2. Limit iteration steps - Prevent infinite loops
  3. Use good initial guess - Within ±30 days of true date
  4. Check convergence - Stop when accuracy achieved
  5. Validate results - Ensure Sun actually at target longitude

Phase 3: Lunar Calculations (Week 3)

Priority: HIGH

3.3.1 Implement src/lunar/position.rs

Mathematical Foundation: Jean Meeus Chapter 47 (simplified)

Required Functions:

impl LunarCalculator {
    /// Mean longitude of Moon
    /// Reference: Meeus eq. 47.1
    pub fn mean_longitude(jd: JulianDay) -> f64 {
        let t = jd.centuries_since_j2000();

        // L' = 218.3164477° + 481267.88123421°T 
        //      - 0.0015786°T² + T³/538841 - T⁴/65194000

        let l = 218.3164477 
            + 481267.88123421 * t
            - 0.0015786 * t * t
            + t * t * t / 538841.0
            - t * t * t * t / 65194000.0;

        normalize_degrees(l)
    }

    /// Mean elongation of Moon
    /// Reference: Meeus eq. 47.2
    pub fn mean_elongation(jd: JulianDay) -> f64 {
        let t = jd.centuries_since_j2000();

        // D = 297.8501921° + 445267.1114034°T 
        //     - 0.0018819°T² + T³/545868 - T⁴/113065000

        let d = 297.8501921
            + 445267.1114034 * t
            - 0.0018819 * t * t
            + t * t * t / 545868.0
            - t * t * t * t / 113065000.0;

        normalize_degrees(d)
    }

    /// Mean anomaly of Moon
    /// Reference: Meeus eq. 47.4
    pub fn mean_anomaly(jd: JulianDay) -> f64 {
        let t = jd.centuries_since_j2000();

        // M' = 134.9633964° + 477198.8675055°T
        //      + 0.0087414°T² + T³/69699 - T⁴/14712000

        let m = 134.9633964
            + 477198.8675055 * t
            + 0.0087414 * t * t
            + t * t * t / 69699.0
            - t * t * t * t / 14712000.0;

        normalize_degrees(m)
    }

    /// Simplified true longitude of Moon
    /// Accuracy: ±2°
    /// For precise work, use full ELP-2000 theory
    pub fn true_longitude_simplified(jd: JulianDay) -> f64 {
        let l = Self::mean_longitude(jd);
        let d = Self::mean_elongation(jd) * DEG_TO_RAD;
        let m = Self::mean_anomaly(jd) * DEG_TO_RAD;
        let m_sun = crate::solar::SolarCalculator::mean_anomaly(jd) * DEG_TO_RAD;

        // Simplified perturbations (largest terms only)
        let correction = 
            6.288774 * m.sin()
            + 1.274027 * (2.0 * d - m).sin()
            + 0.658314 * (2.0 * d).sin()
            + 0.213618 * (2.0 * m).sin()
            - 0.185116 * m_sun.sin()
            - 0.114332 * (2.0 * d - 2.0 * m).sin();

        normalize_degrees(l + correction)
    }
}

Validation Tests:

#[test]
fn test_moon_j2000() {
    let jd = JulianDay(J2000_0);
    let longitude = LunarCalculator::mean_longitude(jd);
    // Moon's mean longitude at J2000.0 should be ~218.3°
    assert!((longitude - 218.3).abs() < 1.0);
}

#[test]
fn test_moon_moves_faster_than_sun() {
    let jd = JulianDay::from_gregorian(2020, 1, 1, 0.0);
    let long1 = LunarCalculator::true_longitude_simplified(jd);
    let long2 = LunarCalculator::true_longitude_simplified(jd.add_days(1.0));

    let moon_motion = (long2 - long1 + 360.0).rem_euclid(360.0);

    // Moon moves ~13° per day
    assert!(moon_motion > 11.0 && moon_motion < 15.0);
}

3.3.2 Implement src/lunar/tithi.rs

Purpose: Calculate Tithi (lunar day)

/// Calculate Tithi at given Julian Day
/// 
/// Tithi is defined by elongation of Moon from Sun:
/// Tithi = floor((MoonLong - SunLong) / 12°) + 1
/// 
/// Returns: 1-30 (1-15 = Shukla Paksha, 16-30 = Krishna Paksha)
pub fn calculate_tithi(jd: JulianDay) -> u8 {
    let sun_long = SolarCalculator::apparent_longitude(jd);
    let moon_long = LunarCalculator::true_longitude_simplified(jd);

    // Elongation (Moon ahead of Sun)
    let elongation = (moon_long - sun_long + 360.0).rem_euclid(360.0);

    // Each tithi = 12° of elongation
    let tithi = (elongation / TITHI_DEGREES).floor() as u8 + 1;

    // Should be 1-30
    if tithi < 1 || tithi > 30 {
        return 1; // Safety fallback
    }

    tithi
}

/// Find when a specific Tithi starts
/// Returns Julian Day of Tithi beginning
pub fn find_tithi_start(bs_year: i32, bs_month: u8, tithi: u8) -> Result<JulianDay, AstroError> {
    if tithi < 1 || tithi > 30 {
        return Err(AstroError::InvalidTithi(tithi));
    }

    // Target elongation
    let target_elongation = (tithi as f64 - 1.0) * TITHI_DEGREES;

    // Initial guess: start of month
    let month_start = crate::solar::find_sankranti(bs_year, bs_month)?;
    let mut jd = month_start.add_days((tithi as f64 - 1.0) * 0.984); // ~1 day per tithi

    // Newton-Raphson iteration
    for _ in 0..20 {
        let sun_long = SolarCalculator::apparent_longitude(jd);
        let moon_long = LunarCalculator::true_longitude_simplified(jd);
        let elongation = (moon_long - sun_long + 360.0).rem_euclid(360.0);

        let diff = angular_difference(target_elongation, elongation);

        if diff.abs() < 0.01 {
            return Ok(jd);
        }

        // Moon-Sun relative motion: ~12.19° per day
        let dt = diff / 12.19;
        jd = jd.add_days(dt);
    }

    Err(AstroError::ConvergenceFailed)
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_tithi_range() {
        let jd = JulianDay::from_gregorian(2020, 4, 14, 0.0);
        let tithi = calculate_tithi(jd);
        assert!(tithi >= 1 && tithi <= 30);
    }

    #[test]
    fn test_tithi_progression() {
        // Tithi should increase over time
        let jd1 = JulianDay::from_gregorian(2020, 4, 14, 0.0);
        let jd2 = jd1.add_days(1.0);

        let t1 = calculate_tithi(jd1);
        let t2 = calculate_tithi(jd2);

        // Should advance by 0-2 tithis per day
        let diff = (t2 as i32 - t1 as i32 + 30) % 30;
        assert!(diff >= 0 && diff <= 2);
    }
}

Phase 4: Calendar Logic (Week 4-5)

Priority: MEDIUM

3.4.1 Implement src/calendar/month_calculator.rs

Purpose: Calculate BS month length using Sankranti times

/// Calculate number of days in BS month
/// 
/// Algorithm:
/// 1. Find Sankranti for month N (when Sun enters zodiac sign N)
/// 2. Find Sankranti for month N+1
/// 3. Days = floor(Sankranti[N+1] - Sankranti[N])
/// 
/// # Returns
/// Number of days (typically 29-32)
pub fn calculate_month_days(bs_year: i32, bs_month: u8) -> Result<u8, AstroError> {
    // Find start of this month
    let sankranti_start = find_sankranti(bs_year, bs_month)?;

    // Find start of next month
    let (next_year, next_month) = if bs_month == 12 {
        (bs_year + 1, 1)
    } else {
        (bs_year, bs_month + 1)
    };

    let sankranti_end = find_sankranti(next_year, next_month)?;

    // Calculate days
    let days = sankranti_end.diff_days(&sankranti_start);
    let days_int = days.round() as u8;

    // Sanity check
    if days_int < 29 || days_int > 32 {
        return Err(AstroError::InvalidMonthLength(days_int));
    }

    Ok(days_int)
}

/// Generate complete BS calendar for a year
pub fn generate_year_calendar(bs_year: i32) -> Result<[u8; 12], AstroError> {
    let mut calendar = [0u8; 12];

    for month in 1..=12 {
        calendar[(month - 1) as usize] = calculate_month_days(bs_year, month)?;
    }

    Ok(calendar)
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_month_length_range() {
        let days = calculate_month_days(2077, 1).unwrap();
        assert!(days >= 29 && days <= 32);
    }

    #[test]
    fn test_year_total_days() {
        let calendar = generate_year_calendar(2077).unwrap();
        let total: u32 = calendar.iter().map(|&d| d as u32).sum();

        // BS year should be 354-385 days
        assert!(total >= 354 && total <= 385);
    }
}

Phase 5: Validation (Week 6)

Priority: CRITICAL

3.5.1 Create Validation Framework

// tests/validation.rs

use npdatetime_astronomical::prelude::*;
use std::fs::File;
use std::io::{BufRead, BufReader};

/// Load known data from CSV
fn load_csv_data(path: &str) -> Vec<(i32, u8, u8)> {
    let file = File::open(path).unwrap();
    let reader = BufReader::new(file);

    let mut data = Vec::new();

    for line in reader.lines().skip(1) { // Skip header
        let line = line.unwrap();
        let parts: Vec<&str> = line.split(',').collect();

        let year: i32 = parts[0].parse().unwrap();
        let month: u8 = parts[1].parse().unwrap();
        let days: u8 = parts[2].parse().unwrap();

        data.push((year, month, days));
    }

    data
}

#[test]
fn validate_against_csv() {
    let csv_data = load_csv_data("../npdatetime/data/calendar_bs.csv");

    let mut matches = 0;
    let mut mismatches = Vec::new();

    for (year, month, expected_days) in csv_data {
        let calculated_days = calculate_month_days(year, month).unwrap();

        if calculated_days == expected_days {
            matches += 1;
        } else {
            mismatches.push((year, month, expected_days, calculated_days));
        }
    }

    // Print results
    println!("Validation Results:");
    println!("Matches: {}", matches);
    println!("Mismatches: {}", mismatches.len());

    if !mismatches.is_empty() {
        println!("\nMismatches:");
        for (y, m, exp, calc) in &mismatches {
            println!("  {}/{}: Expected {}, Got {}", y, m, exp, calc);
        }
    }

    // Should match 100%
    assert_eq!(mismatches.len(), 0, "Astronomical calculations don't match CSV");
}

#[test]
fn validate_sankranti_times() {
    // Known Mesh Sankranti times (Baisakh 1)
    let known_sankranti = vec![
        (2077, 1, (2020, 4, 13)), // 2077 Baisakh 1 = April 13-14, 2020
        (2078, 1, (2021, 4, 14)),
        (2079, 1, (2022, 4, 14)),
        (2080, 1, (2023, 4, 14)),
        (2081, 1, (2024, 4, 13)),
    ];

    for (bs_year, bs_month, (ad_year, ad_month, ad_day)) in known_sankranti {
        let jd = find_sankranti(bs_year, bs_month).unwrap();
        let (y, m, d, _) = jd.to_gregorian();

        // Allow ±1 day difference (time zone effects)
        assert!(
            (y == ad_year && m == ad_month && (d as i32 - ad_day as i32).abs() <= 1),
            "Sankranti mismatch for {}/{}: Expected {}/{}/{}, Got {}/{}/{}",
            bs_year, bs_month, ad_year, ad_month, ad_day, y, m, d
        );
    }
}

4. Code Standards

4.1 Documentation

RULE 5: Every public function must have documentation

/// Calculate Sun's true longitude
/// 
/// # Arguments
/// * `jd` - Julian Day in Terrestrial Time
/// 
/// # Returns
/// Sun's geocentric true longitude in degrees (0-360)
/// 
/// # Accuracy
/// ±0.01 degrees (simple mode)
/// ±0.001 degrees (high-precision mode)
/// 
/// # Reference
/// Jean Meeus, "Astronomical Algorithms", Chapter 25
/// 
/// # Example
/// ```
/// let jd = JulianDay::from_gregorian(2020, 4, 14, 0.0);
/// let longitude = SolarCalculator::true_longitude(jd);
/// assert!(longitude >= 0.0 && longitude < 360.0);
/// ```
pub fn true_longitude(jd: JulianDay) -> f64 {
    // Implementation
}

4.2 Error Handling

RULE 6: Use Result for fallible operations

// CORRECT: Return Result
pub fn find_sankranti(year: i32, month: u8) -> Result<JulianDay, AstroError> {
    if month < 1 || month > 12 {
        return Err(AstroError::InvalidMonth(month));
    }
    // ...
}

// WRONG: Panic on error
pub fn find_sankranti(year: i32, month: u8) -> JulianDay {
    assert!(month >= 1 && month <= 12); // Don't do this!
    // ...
}

4.3 Testing

RULE 7: Every module needs tests

#[cfg(test)]
mod tests {
    use super::*;

    // Unit tests
    #[test]
    fn test_basic_functionality() { }

    // Edge cases
    #[test]
    fn test_boundary_conditions() { }

    // Integration tests
    #[test]
    fn test_with_other_modules() { }

    // Validation tests
    #[test]
    fn test_against_known_values() { }
}

4.4 Performance

RULE 8: Avoid unnecessary allocations

// CORRECT: Stack allocation
fn normalize_degrees(angle: f64) -> f64 {
    angle.rem_euclid(360.0)
}

// WRONG: Heap allocation
fn normalize_degrees(angle: f64) -> Box<f64> {
    Box::new(angle.rem_euclid(360.0)) // Unnecessary!
}

RULE 9: Cache expensive calculations

// CORRECT: Calculate once
let sun_long = SolarCalculator::apparent_longitude(jd);
let value1 = process(sun_long);
let value2 = transform(sun_long);

// WRONG: Calculate twice
let value1 = process(SolarCalculator::apparent_longitude(jd));
let value2 = transform(SolarCalculator::apparent_longitude(jd)); // Wasteful!

5. Mathematical Foundations

5.1 Coordinate Systems

IMPORTANT: Understand these coordinate systems:

  1. Ecliptic Coordinates - Longitude measured along ecliptic (used for Sun, Moon)
  2. Equatorial Coordinates - Right Ascension and Declination (not used in BS calendar)
  3. Zodiac Signs - 30° divisions starting from Spring Equinox

5.2 Time Scales

CRITICAL: Distinguish between time scales:

  1. UTC - Coordinated Universal Time (user input/output)
  2. TT (Terrestrial Time) - Uniform time scale (calculations)
  3. NPT - Nepal Time (UTC + 5:45)
// CORRECT: Convert to TT for calculations
let utc_jd = JulianDay::from_gregorian(2020, 4, 14, 0.0);
let tt_jd = utc_to_tt(utc_jd); // Add ~70 seconds
let sun_long = SolarCalculator::apparent_longitude(tt_jd);

// WRONG: Use UTC directly
let sun_long = SolarCalculator::apparent_longitude(utc_jd); // Inaccurate!

5.3 Precision Requirements

Accuracy Targets:

  • Solar longitude: ±0.01° (±40 arcseconds)
  • Lunar longitude: ±0.1° (±6 arcminutes)
  • Sankranti time: ±10 seconds
  • Tithi time: ±1 minute
  • Month length: Exact integer days

6. Implementation Details

6.1 Newton-Raphson Method

Algorithm for finding events:

1. Make initial guess: x₀
2. Calculate f(x₀) - current value
3. Calculate f'(x₀) - derivative (rate of change)
4. Update: x₁ = x₀ - f(x₀)/f'(x₀)
5. Repeat until |f(x)| < tolerance

For Sankranti: - f(t) = SunLongitude(t) - TargetLongitude - f'(t) ≈ 0.985647°/day (Sun's daily motion)

For Tithi: - f(t) = MoonLongitude(t) - SunLongitude(t) - TargetElongation - f'(t) ≈ 12.19°/day (Moon-Sun relative motion)

6.2 Angle Normalization

CRITICAL: Always normalize angles

/// Normalize angle to [0, 360) degrees
fn normalize_degrees(angle: f64) -> f64 {
    angle.rem_euclid(360.0)
}

/// Calculate angular difference with wrap-around
/// Returns value in [-180, 180]
fn angular_difference(target: f64, current: f64) -> f64 {
    let diff = target - current;
    if diff > 180.0 {
        diff - 360.0
    } else if diff < -180.0 {
        diff + 360.0
    } else {
        diff
    }
}

6.3 Trigonometric Functions

RULE 10: Always convert degrees to radians

// CORRECT
let m_rad = mean_anomaly * DEG_TO_RAD;
let correction = amplitude * m_rad.sin();

// WRONG
let correction = amplitude * mean_anomaly.sin(); // Using degrees!

7. Testing Strategy

7.1 Unit Tests

Test each function independently:

#[test]
fn test_mean_longitude() {
    let jd = JulianDay(J2000_0);
    let l0 = SolarCalculator::mean_longitude(jd);
    assert!((l0 - 280.46).abs() < 0.01);
}

7.2 Integration Tests

Test module interactions:

#[test]
fn test_sankranti_to_month_days() {
    let days = calculate_month_days(2077, 1).unwrap();
    assert!(days >= 29 && days <= 32);
}

7.3 Validation Tests

Compare against known data:

#[test]
fn test_against_csv_data() {
    // Load CSV and compare
    // Must match 100%
}

7.4 Regression Tests

Prevent breaking changes:

#[test]
fn test_regression_2077() {
    // Known results for 2077
    let expected = [31, 32, 31, 32, 31, 30, 30, 30, 29, 30, 29, 31];
    let calculated = generate_year_calendar(2077).unwrap();
    assert_eq!(calculated, expected);
}

8. Performance Requirements

8.1 Benchmarks

Create benchmarks for critical functions:

// benches/astronomical_bench.rs
use criterion::{black_box, criterion_group, criterion_main, Criterion};

fn bench_sun_longitude(c: &mut Criterion) {
    let jd = JulianDay::from_gregorian(2020, 4, 14, 0.0);

    c.bench_function("sun_longitude", |b| {
        b.iter(|| SolarCalculator::apparent_longitude(black_box(jd)))
    });
}

fn bench_find_sankranti(c: &mut Criterion) {
    c.bench_function("find_sankranti", |b| {
        b.iter(|| find_sankranti(black_box(2077), black_box(1)))
    });
}

fn bench_month_calculation(c: &mut Criterion) {
    c.bench_function("calculate_month_days", |b| {
        b.iter(|| calculate_month_days(black_box(2077), black_box(1)))
    });
}

criterion_group!(benches, bench_sun_longitude, bench_find_sankranti, bench_month_calculation);
criterion_main!(benches);

Performance Targets: - Sun position: < 1 µs - Moon position: < 5 µs - Find Sankranti: < 10 ms - Calculate month: < 50 ms


9. Validation Process

9.1 Data Sources for Validation

  1. Your CSV file - Primary validation source
  2. Nepal government calendars - Official BS dates
  3. Online converters - Cross-check (e.g., ashesh.com.np)
  4. Astronomical almanacs - Solar/lunar positions

9.2 Validation Checklist

Before considering implementation complete:

  • [ ] All 2077 BS months match CSV exactly
  • [ ] All 2000-2090 BS months match CSV (100%)
  • [ ] Sankranti times within ±10 seconds of known values
  • [ ] Year totals 354-385 days
  • [ ] No month < 29 or > 32 days
  • [ ] Lunar positions within ±2° of almanac
  • [ ] Solar positions within ±0.01° of VSOP87

10. Common Pitfalls

10.1 Angle Wrap-Around

PITFALL: Forgetting 360° wrap

// WRONG: Direct subtraction
let diff = target_longitude - sun_longitude;
if diff < 0.0 { diff += 360.0; } // Incomplete!

// CORRECT: Use angular_difference()
let diff = angular_difference(target_longitude, sun_longitude);

10.2 Time Scale Confusion

PITFALL: Mixing UTC and TT

// WRONG: Using UTC for astronomical calculations
let jd_utc = JulianDay::from_gregorian(2020, 4, 14, 0.0);
let sun_long = SolarCalculator::apparent_longitude(jd_utc); // Wrong!

// CORRECT: Convert to TT
let jd_tt = utc_to_tt(jd_utc);
let sun_long = SolarCalculator::apparent_longitude(jd_tt);

10.3 Degrees vs Radians

PITFALL: Forgetting conversion

// WRONG: Using degrees in sin()
let value = amplitude * angle.sin(); // If angle is in degrees!

// CORRECT: Convert first
let angle_rad = angle * DEG_TO_RAD;
let value = amplitude * angle_rad.sin();

10.4 Iteration Limits

PITFALL: Infinite loops

// WRONG: No limit
while diff.abs() > tolerance {
    // Update...
} // Could loop forever!

// CORRECT: Maximum iterations
for iteration in 0..MAX_ITERATIONS {
    if diff.abs() < tolerance { break; }
    // Update...
}

10.5 Precision Loss

PITFALL: Using f32 instead of f64

// WRONG: Single precision
fn sun_longitude(jd: f32) -> f32 { } // Not enough precision!

// CORRECT: Double precision
fn sun_longitude(jd: f64) -> f64 { } // Required for astronomy

11. Debugging Guide

11.1 Debug Output

Add debug logging:

#[cfg(debug_assertions)]
println!("Debug: JD={}, SunLong={:.6}°, Diff={:.6}°", 
         jd.0, sun_long, diff);

11.2 Comparison Tool

Create comparison tool:

fn compare_with_lookup(year: i32) {
    println!("Year {}:", year);
    println!("Month | Calculated | CSV | Match");
    println!("------|------------|-----|------");

    for month in 1..=12 {
        let calc = calculate_month_days(year, month).unwrap();
        let csv = load_csv_value(year, month);
        let match_char = if calc == csv { "✓" } else { "✗" };

        println!("{:5} | {:10} | {:3} | {}", 
                 month, calc, csv, match_char);
    }
}

12. Deployment Checklist

Before releasing:

  • [ ] All tests passing
  • [ ] 100% CSV validation match
  • [ ] Documentation complete
  • [ ] Examples working
  • [ ] Benchmarks run
  • [ ] No unwrap() in library code
  • [ ] Error messages helpful
  • [ ] README updated
  • [ ] CHANGELOG updated
  • [ ] Version bumped

13. Future Enhancements

After basic implementation works:

  1. High-Precision Mode - Full VSOP87/ELP-2000
  2. Leap Month Detection - Adhik Maas logic
  3. Nakshatra Calculator - 27 lunar mansions
  4. Panchang Generator - Complete almanac
  5. Eclipse Predictor - Solar/lunar eclipses
  6. Festival Calculator - Religious dates

14. References

14.1 Essential Books

  1. Jean Meeus - "Astronomical Algorithms" (2nd edition, 1998)
  2. Chapter 7: Julian Day
  3. Chapter 25: Solar Coordinates
  4. Chapter 47: Lunar Coordinates

  5. Peter Duffett-Smith - "Practical Astronomy with Your Calculator"

  6. Montenbruck & Pfleger - "Astronomy on the Personal Computer"

14.2 Online Resources

  1. VSOP87 Data: ftp://ftp.imcce.fr/pub/ephem/planets/vsop87/
  2. JPL Horizons: https://ssd.jpl.nasa.gov/horizons/ (validation)
  3. PyMeeus: https://github.com/architest/pymeeus (reference implementation)

14.3 Test Data Sources

  1. Your CSV file: npdatetime/data/calendar_bs.csv
  2. Nepal calendar websites
  3. Astronomical almanacs

15. Support and Questions

When you encounter issues:

  1. Check this guide first - Most answers are here
  2. Test incrementally - Don't write everything at once
  3. Validate frequently - Run tests after each function
  4. Compare with references - Use Meeus book formulas
  5. Ask for help - With specific error messages and context

Final Notes

Remember: - This is a research/validation tool, not a production calculator - Lookup tables are faster and proven accurate - Astronomical calculations are complex - take your time - Validate everything - astronomy is unforgiving of errors - Have fun learning - this is fascinating science!

Success Criteria: When your calculations match the CSV 100%, you've succeeded!

Good luck with your implementation! 🚀🌙☀️