refactor: restructure metadata files for context efficiency

- Shrink global AGENTS.md: 153 → 56 lines (−63%)
  Removed: git workflow, TDD, overthinking guards, code style, reasoning protocol
  Kept: personality, git basics, thinking levels, general principles, backend
- Create project AGENTS.md: 71 lines
  Added: stack/commands, GitHub Flow git workflow, Conventional Commits,
  TDD (Python-specific), quality gates, debug verification
- Trim CONVENTIONS.md: 161 → 68 lines (−58%)
  Removed: verbose examples, redundant unit convention section,
  lengthy SpectrumComponent code example
- Delete DEVELOPMENT.md: 238 lines → 0 (migrated to AGENTS.md)
  Setup/release checklist removed (not agent concerns)
  Git workflow, TDD, quality gates, notebook QC, debug verification
  all migrated to AGENTS.md
- Update README.md project structure
Total per-session metadata: 552 → 195 lines (−65%)
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# Agent Instructions — beta-spectrum
High-precision beta decay spectrum calculator. Extracts shape factor C(W) from ⁹⁹Tc beta spectrum to parametrize g_V coupling.
## Stack & Commands
```
pytest # all tests
nbmake notebooks/ # execute notebooks as tests
black --check . # formatting
ruff check . # linting
mypy . # type checking (strict)
bs_pnpi --nuclide Tc99 -vv --output ./output/verification.csv # debug verification
```
Install: `source ~/.pyenv/sci/bin/activate && pip install -e ".[dev]"`
## Git Workflow (GitHub Flow)
- **Never commit directly to `main`.** Always branch: `git checkout -b dev/<short-desc>`
- **Atomic commits** with **Conventional Commits** format:
- `feat:`, `fix:`, `docs:`, `style:`, `refactor:`, `perf:`, `test:`, `chore:`
- Imperative mood, present tense, under 72 chars
- WIP commits fine on dev branches — squash before final merge
- **Commit each logical change** — don't wait for green. Use `git add -p`.
- **Rebase over merge** for linear history: `git rebase main` before merge.
- Delete branch locally + remotely after merge.
## TDD
Test-first by default. For new classes/functions: write failing test first.
- **RED** — failing test defining desired behavior
- **GREEN** — minimal code to pass
- **REFACTOR** — clean up, confirm tests still pass
State which phase you're in. Name phases explicitly.
### Python Testing Conventions
- Tests mirror package structure: `beta_spectrum/components/foo.py` → `tests/physics/test_foo.py`
- Shared fixtures in `tests/conftest.py`
- Classes organized by feature area (e.g., `TestComponentBasicProperties`)
- Descriptive names: `test_<function>_<expected_behavior>_<context>`
- Include implementation-level assertions (type checks, pre/postconditions)
- Use `hypothesis` for property-based tests where applicable
- Physics tests verify: physical constraints at thresholds, positivity, monotonicity, numerical stability
## Quality Gates
All must pass before merge:
```bash
pytest
nbmake notebooks/
black --check .
ruff check .
mypy .
```
Run individually to identify failures.
## Debug Verification (Final Step)
After quality gates pass, run:
```bash
bs_pnpi --nuclide Tc99 -vv --output ./output/verification.csv --plot ./output/verification.png --log-file ./output/debug.log 2>&1 | tee ./output/debug_stdout.log
```
Verify parameter consistency across all components. Save artifacts to `./output/`.
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# Project Conventions
This file defines the physical, mathematical, and architectural conventions that govern code correctness and consistency across the project.
Physical, mathematical, and architectural conventions governing code correctness.
## 1. Natural Units System
## 1. Natural Units
All internal representations, calculations, and definitions use natural units:
All internal calculations use natural units:
```
m_e = ℏ = c = 1
```
where `m_e` is the electron rest mass. This is the fundamental unit for energy, mass, momentum, and time throughout the codebase.
`m_e` is the electron rest mass. Fundamental unit for energy, mass, momentum, and time.
## 2. Energy Representation
### Core Principle
**Internal:** total energy `W` in m_e units (`W = 1.0` = rest mass, `W > 1.0` = kinetic).
Internal calculations use natural units (m_e). External interfaces (API signatures, plots, human-readable output) use eV-based units (MeV or keV).
**External API:** human-readable MeV/keV. Check the unit suffix in parameter names:
- `_MeV` suffix → value is in MeV
- `_keV` suffix → value is in keV (detector params only)
- No suffix on energy → value is in m_e units (internal)
### API Signatures (Input)
### Conversion
Use human-readable MeV for parameters that come from databases or literature:
- `endpoint_MeV` — Q-value / endpoint energy in MeV
- `detector_sigma_a_keV` — resolution in keV
- `detector_tau_keV` — tail decay constant in keV
### Internal Representation
All internal computations use **total energy W in m_e units**:
```
W = T_to_W(T_MeV) # T (kinetic) in MeV → W (total) in m_e
W = T + 1.0 # W = T/m_e + 1 (since m_e = 1 in m_e units)
```
- `W = 1.0` corresponds to zero kinetic energy (rest mass)
- `W > 1.0` corresponds to kinetic energy
- All internal functions accept and operate on `W`
- Endpoint W0 is always `T_to_W(endpoint_MeV)`
### Output and Display
Convert back to eV units for anything intended for human perception:
- Plots: x-axis in keV or MeV (kinetic energy)
- ASCII output, CSV export: kinetic energy in keV or MeV
- Log messages, error messages: use keV/MeV with context
```python
kinetic_keV = (W - 1.0) * ME_KEV # W in m_e → kinetic energy in keV
kinetic_MeV = (W - 1.0) * ME_ME # W in m_e → kinetic energy in MeV
```
### Conversion Helpers
All conversions and constants must go through the central utilities:
Always use central utilities — never hardcode constants or manual arithmetic:
```python
from beta_spectrum.utils import T_to_W, W_to_T
from beta_spectrum.constants import ME_MEV, ME_KEV, ALPHA, MP_MEV
```
- Never hardcode physical constants — import from `constants.py`
- Never use manual arithmetic for unit conversion — use `T_to_W()`, `W_to_T()`
- Never mix MeV and m_e units in the same calculation
## 3. SpectrumComponent Design
## 3. Energy Unit Convention
All spectral components follow a common interface:
### MeV Throughout
All energy parameters in the public API use **MeV** as the standard unit:
- `endpoint_MeV` — always in MeV
- `e_step_MeV` — always in MeV
- `detector_sigma_a_keV` — in keV (detector-specific, exception noted)
- `detector_tau_keV` — in keV (detector-specific, exception noted)
Detector parameters use keV because detector resolutions are typically specified in keV in the literature. All other energies use MeV.
### CLI Unit Convention
All CLI energy parameters use MeV unless explicitly marked otherwise:
- `--e-step` — MeV (default: 0.001)
- `--sigma` — keV (detector resolution, default: 1.0)
- `--tau` — keV (tail decay constant, default: 5.0)
### Consistency Rule
When reading or writing values, always check the unit suffix in the parameter name:
- `_MeV` suffix → value is in MeV
- `_keV` suffix → value is in keV
- No suffix on energy parameter → value is in m_e units (internal)
## 4. SpectrumComponent Design
All spectral components (Fermi function, screening, radiative correction, etc.) follow a common interface:
- **Stateless or minimally stateful** — no mutable state that depends on input
- **Vectorized** — accept and return `np.ndarray`, support array broadcasting
- **Consistent energy variable** — always use `W` (total energy in m_e units) internally
- **Stateless or minimally stateful** — no mutable state depending on input
- **Vectorized** — accept/return `np.ndarray`, support broadcasting
- **Consistent energy variable** — always `W` (total energy in m_e units) internally
- **Callable interface** — implement `__call__(W)` for uniform usage
- **Return correction factor** — output is a multiplicative factor, typically ~0.1 to 10
- **Return correction factor** — multiplicative factor, typically ~0.1 to 10
```python
class MyComponent(SpectrumComponent):
def __init__(self, param1: float, param2: float):
self.param1 = param1
self.param2 = param2
## 4. Logging
def __call__(self, W: np.ndarray) -> np.ndarray:
# All internal computation uses W in m_e units
return ...
```
- **No verbosity (default):** errors and warnings only
- **`-v` (INFO):** source selection, component init, workflow steps, output locations
- **`-vv` (DEBUG):** all INFO + detailed internals (parameters, ranges, evaluation counts)
## 5. Logging Convention
Each `SpectrumComponent` logs:
- **INFO** at init: component name + key parameters
- **DEBUG** at evaluation: energy point count, input/output ranges
### Verbosity Levels
## 5. Nuclear Data Notation
- **No verbosity (default)**: Only errors and warnings
- **`-v` (INFO)**: Shows source selection, component initialization, workflow steps, and output locations
- **`-vv` (DEBUG)**: Shows all INFO messages plus detailed internals of each spectrum component (parameters, input/output ranges, evaluation counts)
- Element: `Tc`, `Ru`, `U`
- Nuclide: `Tc99`, `Ru99`, `U238`
- Decay: `Tc99 -> Ru99` (parent → daughter)
- CSV headers use element notation: `# nuclide: Tc99 -> Ru99 (Z=43->44)`
### Component Logging
## 6. Physics Testing Guidelines
Each `SpectrumComponent` logs at two levels:
When testing physics components, verify:
- **INFO** at initialization: Component name and key parameters
- **DEBUG** at evaluation: Number of energy points, input/output value ranges
This allows debugging without cluttering normal output.
## 6. Nuclear Data Notation
### Element and Nuclide Notation
- Element symbol: `Tc`, `Ru`, `U`, etc. (from atomic number)
- Nuclide notation: `Tc99`, `Ru99`, `U238` (element symbol + mass number)
- Decay notation: `Tc99 -> Ru99` (parent -> daughter)
### CSV Header Convention
CSV metadata headers use element notation for readability:
```
# nuclide: Tc99 -> Ru99 (Z=43->44)
```
This provides both the human-readable notation and the machine-parseable Z values.
## 7. Physics-Specific Testing Guidelines
When writing tests for physics components, verify the following:
- **Physical constraints** — values at thresholds, endpoints, and boundaries must match known physics behavior
- **Monotonicity / positivity** — spectrum components should not produce unphysical negative values; monotonicity should match physical expectations
- **Shape correctness** — output shape must match input shape (vectorized operation)
- **Type safety** — components accept and return `np.ndarray`
- **Numerical stability** — no NaN or inf in the physical energy range, except where physically expected (e.g., below kinematic threshold, near soft-photon endpoint divergence)
- **Physical constraints** — values at thresholds, endpoints, boundaries match known physics
- **Positivity** — no unphysical negative values
- **Shape correctness** — output shape matches input (vectorized)
- **Type safety** — components accept/return `np.ndarray`
- **Numerical stability** — no NaN/inf in physical range (except where physically expected)
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# Development Workflow
## 1. Setup
Do not attempt system wide pip installations. Use virtual environment 'sci'.
Default venv location: `~/.pyenv/`.
```bash
source ~/.pyenv/sci/bin/activate
pip install -e ".[dev]"
```
## 2. Git Workflow
### Before Starting Any Work
```bash
git status # MUST show clean working tree
git fetch origin
git rebase origin/main # update to latest main
```
If `git status` is not clean, commit or stash existing changes first. Never begin new work on a dirty working tree.
### Branch Strategy
```bash
git checkout main
git checkout -b dev/<feature-name> # always create a new branch
```
Branch naming: `dev/<short-description>` (e.g., `dev/recoil-correction`)
### Merging Rules
- All work happens on `dev/*` branches — never commit directly to `main`
- Tests MUST pass before any merge attempt
- Merging to `main` requires a pull request with passing CI checks
- If tests fail, fix them on the dev branch — do NOT merge broken code
- Before merging always update TODO.md and README.md
## 3. Test-Driven Development
### TDD Cycle
1. **Red** — write a failing test that expresses the desired behavior
2. **Green** — implement minimal code to make the test pass
3. **Refactor** — clean up code while keeping all tests green
Commit work-in-progress changes to development branch.
### Test Conventions
- Tests live in `tests/` with the same structure as `beta_spectrum/`
- New component `beta_spectrum/components/foo.py` → test file `tests/test_foo.py`
- Use shared fixtures from `tests/conftest.py` (`W_low`, `W_mid`, `W_high`, `W_full`, `large_W`)
- Organize tests in classes by feature area (e.g., `TestComponentBasicProperties`, `TestComponentEdgeCases`)
- Each test class should have a docstring explaining what is being tested and why
- Use descriptive test names: `test_threshold_vanishes`, not `test_1`
### What to Test
See [`CONVENTIONS.md`](CONVENTIONS.md) §4 for physics-specific testing guidelines (physical constraints, positivity, numerical stability).
For general test structure, use the conventions below.
## 4. Quality Gates
All of the following MUST pass before merging to `main`:
```bash
pytest # all tests pass
nbmake notebooks/ # execute and validate notebooks
black --check . # code formatting
ruff check . # linting
mypy . # type checking (strict mode)
```
These are configured in `pyproject.toml`. Run them individually to identify failures.
### Notebook Quality Control
Notebooks in `notebooks/` are executed as pytest tests using `nbmake`. This ensures:
- All code cells execute without errors
- Full error traces are available for debugging
- Plots are extracted for LLM-based visual analysis
**Workflow:**
1. Write notebooks with explicit figure saving:
```python
fig.savefig('_plots/notebook_name_cell{N}.png', dpi=100, bbox_inches='tight')
from IPython.display import display, Image
display(Image(filename='_plots/notebook_name_cell{N}.png'))
```
2. Execute and extract plots:
```bash
python scripts/run_notebooks.py notebooks/
```
3. Send extracted plots to LLM for visual review:
```
@notebooks/_plots/notebook_name_cell4.png
```
4. Run full quality gates:
```bash
pytest notebooks/ --nbmake # or just `pytest` (includes notebooks/)
```
______________________________________________________________________
### 4.5. Debug Verification (Final Step of Each Dev Iteration)
After all quality gates pass, run a **debug-level verification** as the final step of every development iteration. This catches configuration mismatches, missing parameter propagation, and silent logic errors before merging.
**Purpose:** Verify that all parameters (endpoint energy, energy grid, Z, A, physical constants) are consistent throughout the pipeline, and that every spectrum component emits sufficient debug logging for explicit comparison.
**Procedure:**
1. **Run `bs_pnpi` with `-vv` (DEBUG logging) and output to `./output/`:**
```bash
bs_pnpi --nuclide Tc99 -vv --output ./output/verification.csv
```
2. **Capture full debug output to a log file for analysis:**
```bash
bs_pnpi --nuclide Tc99 -vv --output ./output/verification.csv --log-file ./output/debug.log 2>&1 | tee ./output/debug_stdout.log
```
3. **Verify consistency of key parameters in the debug output:**
| Parameter | What to check | Where to find it |
|---|---|---|
| `endpoint_MeV` | Matches expected Q-value | CLI dry-run, config creation, energy grid |
| `Z_parent` / `Z_daughter` | Consistent across all components | Component init logs |
| `A_number` | Consistent across all components | Component init logs |
| `e_step_MeV` | Matches grid size × (endpoint - e_step) | Energy grid creation |
| `W0` (endpoint in natural units) | `W0 = 1.0 + endpoint_MeV / m_e` | PhaseSpace init |
| Physical constants | `m_e = 0.51099895` MeV, `α = 1/137.036` | Constants module, Fermi function |
| Energy grid bounds | `e_step` to `endpoint - e_step` | `get_energy_grid()` output |
4. **Verify each component's debug logging:**
Every enabled component must log its initialization parameters and a representative evaluation. Check the debug output for entries like:
```
DEBUG ... Initializing PhaseSpace: W0=1.57664, transition_type=A, m_e=1.0
DEBUG ... Evaluating PhaseSpace at 294 energy points
DEBUG ... PhaseSpace range: [min=..., max=...]
```
Required log entries per component:
| Component | Must log |
|---|---|
| `PhaseSpace` | `W0`, `transition_type`, `m_e`, `m_nu`, energy range |
| `FermiFunction` | `Z`, `A`, `α`, Coulomb approximation used |
| `FiniteSizeL0` | `Z`, `A`, nuclear radius `R`, L0 approximation |
| `ChargeDistributionU` | `Z`, `A`, charge radius, U correction range |
| `ScreeningCorrection` | `Z_parent`, screening model, S(Z,W) range |
| `ExchangeCorrection` | `Z_parent`, Hayen coefficients used, X(Z,W) range |
| `RadiativeCorrection` | `W0`, `δ_r` formula, resummation flag, `delta_cut` value |
5. **Report any missing logging:**
If a component's debug output does not allow explicit verification of its parameters or computed range, **add logging to that component** before the iteration is considered complete. The goal is that a developer (or an LLM) reading the debug log can reconstruct every parameter and verify correctness without reading source code.
6. **Save debug artifacts to `./output/`:**
After verification, ensure all artifacts are in `./output/`:
- `debug_stdout.log` — full stdout+stderr from `bs_pnpi -vv`
- `debug.log` — log file output (if `--log-file` was used)
- `verification.csv` — the spectrum CSV with metadata header
- `verification.png` — analysis plot (if `--plot` was used)
These files serve as a **verifiable record** of the last working state and can be used for regression comparison.
**Example verification command:**
```bash
# Full debug run with all outputs
bs_pnpi --nuclide Tc99 -vv \
--output ./output/verification.csv \
--plot ./output/verification.png \
--log-file ./output/debug.log 2>&1 | tee ./output/debug_stdout.log
# Quick parameter extraction from debug log
grep -E '(Initializing|Evaluating|W0=|Z=|endpoint|e_step|PhaseSpace|Fermi|FiniteSize|Screening|Exchange|Radiative)' ./output/debug_stdout.log
```
**Success criteria:**
- [ ] All parameters (Z, A, endpoint, e_step, W0) appear consistently in debug output
- [ ] Each enabled component logs its initialization parameters
- [ ] Each enabled component logs its evaluation energy range
- [ ] Physical constants match expected values
- [ ] No silent parameter coercion or unit conversion errors detected
- [ ] All artifacts saved to `./output/`
**If any check fails:**
1. Add missing debug logging to the component
2. Fix any parameter mismatch
3. Re-run the verification until all checks pass
4. Only then consider the iteration complete
## 5. Agent Instructions
When working on this project, agents must:
1. **Read existing tests first** — understand patterns before writing new ones
2. **Follow existing conventions** — match test style, fixture usage, and class organization
3. **Never commit changes** without explicit user request
4. **Never merge branches** without explicit user request
5. **Verify `git status` is clean** before starting any file modifications
6. **Work on a dev branch** — create `dev/<description>` and switch to it
7. **Run quality gates** after making changes and report results
8. **Update docs** when changing public API or adding features
9. **Run debug verification** (`bs_pnpi -vv`) as the final step of each iteration, saving all artifacts to `./output/` and verifying parameter consistency across all components
## 6. Release Checklist
- [ ] All tests pass (`pytest`)
- [ ] Code is formatted (`black --check`)
- [ ] No lint errors (`ruff check`)
- [ ] Type checks pass (`mypy`)
- [ ] Debug verification passes (`bs_pnpi -vv`) — all parameters consistent, all components logged
- [ ] Debug artifacts saved to `./output/` (debug_stdout.log, verification.csv, etc.)
- [ ] Update version in `pyproject.toml`
- [ ] Update `Development Status` section in `README.md`
- [ ] Update `TODO.md` marking corresponding items as complete.
- [ ] Commit changes
- [ ] Create git tag: `git tag v<version>`
- [ ] Push to remote
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│ ├── test_fitter.py # Curve fitter tests
│ ├── test_cw_extractor.py # C(W) extraction tests
│ └── test_nuclear_data.py # paceENSDF + JSON input tests (23 tests)
└── data/
├── exchange_coeff.csv # Tabulated coefficients for X(Z,W), Z=2..120
└── custom_input_example.json # Sample JSON input file
├── data/
│ ├── exchange_coeff.csv # Tabulated coefficients for X(Z,W), Z=2..120
│ └── custom_input_example.json # Sample JSON input file
├── output/ # Test run outputs (gitignored except .gitkeep)
├── AGENTS.md # Agent instructions: stack, git workflow, TDD, quality gates
├── CONVENTIONS.md # Physics conventions: natural units, energy representation, component design
├── TODO.md # Development roadmap
```
______________________________________________________________________