steer-core

Base utilities for the STEER / OpenCell platform: the mixin framework (validation, serialization, plotting, geometry, change propagation), shared constants, recalculation decorators, and the DataManager REST API client. Every domain class in the STEER ecosystem — materials, electrodes, cells — is built by composing the mixins in this package.

Install

pip install steer-core

Or from source:

git clone https://github.com/stanford-developers/steer-core.git
cd steer-core
pip install -e .

Requires Python >= 3.10.

Quick Start

Domain classes are built by composing mixins:

from steer_core import ValidationMixin, SerializerMixin, DunderMixin

class MyComponent(ValidationMixin, SerializerMixin, DunderMixin):
    def __init__(self, name: str, mass: float):
        self.validate_string(name, "name")
        self.validate_positive_float(mass, "mass")
        self._name = name
        self._mass = mass

    @property
    def name(self) -> str:
        return self._name

    @property
    def mass(self) -> float:
        return self._mass

comp = MyComponent("cathode", 0.5)
data = comp.serialize()                      # bytes (MessagePack + LZ4)
restored = MyComponent.deserialize(data)
assert comp == restored                      # property-aware equality from DunderMixin

Mixins

Seven mixins are exported at the top level:

from steer_core import (
    ColorMixin,
    CoordinateMixin,
    DataMixin,
    DunderMixin,
    PlotterMixin,
    SerializerMixin,
    ValidationMixin,
)

The rest are imported from their submodules (e.g. from steer_core.Mixins.Propagation import PropagationMixin).

ValidationMixin

Static type and value validators that raise TypeError/ValueError with consistent messages. Used in every setter across the ecosystem.

from steer_core import ValidationMixin

ValidationMixin.validate_type(value, (int, float), "thickness")
ValidationMixin.validate_positive_float(thickness, "thickness")
ValidationMixin.validate_fraction(porosity, "porosity")          # [0, 1]
ValidationMixin.validate_percentage(efficiency, "efficiency")    # [0, 100]
ValidationMixin.validate_string(name, "name")
ValidationMixin.validate_datum(datum)                            # 3-element numeric tuple
ValidationMixin.validate_pandas_dataframe(df, "data", column_names=["x", "y"])
ValidationMixin.validate_enum_string(mode, ControlMode, "mode")

SerializerMixin

Binary serialization with MessagePack + LZ4 compression, and database loading. Handles nested objects, numpy arrays, pandas DataFrames, datetime, Enum, and object-keyed dicts.

Method	What it does
`serialize(compress=True)`	Instance → `bytes`
`deserialize(data)` (classmethod)	`bytes` → instance (class path stored in payload)
`from_database(name, table_name=None)` (classmethod)	Load a named object from the database backend (see Development vs Production Mode)
`_to_dict()` / `_from_dict(data)`	Override hooks for custom serialization

blob = cell.serialize()
restored = Cell.deserialize(blob)

# Requires a _table_name on the subclass:
material = CathodeMaterial.from_database("LFP")

DunderMixin

Property-aware comparison and string representation.

__eq__ — deep equality over all public @property values (numpy arrays, DataFrames, and nested objects compared correctly; Plotly traces skipped)
__str__ / __repr__ — ClassName (name) when the object has a .name
__hash__ — identity-based, safe for mutable objects

PropagationMixin

Parent-child change propagation for hierarchical models (cell → assembly → electrode → formulation → material). Lives in steer_core.Mixins.Propagation.

Member	What it does
`propagating_setter(attr_name=None, deepcopy=False)`	Setter decorator: manages parent links when a child is assigned
`update()`	Re-run the parent's setter for this object (triggers recalculation)
`propagate_changes()`	Bubble updates all the way to the root object
`batch_updates()`	Context manager: defer recalculation until exit

from steer_core.Mixins.Propagation import PropagationMixin, propagating_setter

class Electrode(PropagationMixin, ...):
    @property
    def formulation(self):
        return self._formulation

    @formulation.setter
    @propagating_setter()
    def formulation(self, value):
        self._formulation = value

# Change a leaf, recompute the whole tree:
formulation.active_material_fraction = 0.97
formulation.propagate_changes()

# Batch multiple changes with a single recalculation:
with cell.batch_updates():
    cell.diameter = 21
    cell.height = 70

PlotterMixin

Plotly figure builders and shared layout presets used by all STEER visualizations.

Layout presets — DEFAULT_PALETTE, SCATTER_X_AXIS / SCATTER_Y_AXIS, SCHEMATIC_X/Y/Z_AXIS, BOTTOM_LEGEND
Domain helpers — create_component_trace() (filled cross-section traces), plot_breakdown_sunburst() (mass/cost roll-ups)
Generic plots — plot_scatter, plot_bar, plot_histogram, plot_pdf, plot_box, plot_violin, plot_radar, plot_correlation_heatmap, and grouped variants — all return plotly.graph_objects.Figure

fig = PlotterMixin.plot_breakdown_sunburst(cell.mass_breakdown, title="Mass", unit="g")
fig.show()

CoordinateMixin

Static 2D/3D geometry utilities built on numpy and shapely.

Method	What it does
`rotate_coordinates(coords, axis, angle, center=None)`	Rotate `(N,2)` or `(N,3)` points about `x`/`y`/`z`
`get_area_from_points(x, y)`	Shoelace area (handles NaN-separated segments)
`get_radius_of_points(coords)`	Minimum bounding circle
`build_square_array` / `build_circle_array`	Boundary point generators
`extrude_footprint(x, y, datum, thickness)`	2D footprint → 3D solid coordinates
`get_coordinate_intersection(coords1, coords2)`	Polygon intersection area
`order_coordinates_clockwise(df, plane="xy")`	Sort boundary points clockwise

ColorMixin

Color conversion and manipulation for Plotly figures: rgb_tuple_to_hex(), get_colorway(color1, color2, n) (n-step gradients), adjust_fill_opacity(), adjust_trace_opacity(), get_color_format().

DataMixin

Numeric data helpers: enforce_monotonicity(array) (PCHIP-smoothed monotonic curves, used for voltage-capacity data) and sum_breakdowns(components, breakdown_type) (recursive roll-up of mass / cost breakdown dicts across component trees).

DatumMixin

Positional datum handling for components placed in 3D space. Stores the datum in meters internally, exposes millimeters through datum, datum_x, datum_y, datum_z properties. Lives in steer_core.Mixins.Datum.

DateTimeMixin

Datetime parsing and arithmetic with the STEER standard formats (YYYY-MM-DD-HH / YYYY-MM-DD): str_to_datetime(), datetime_to_str(), shift_years(), shift_months() (calendar-aware), validate_end_after_start(). Lives in steer_core.Mixins.DateTime.

ThermodynamicsMixin

Basic thermodynamic relations: calculate_antoine_pressure(T, A, B, C), calculate_antoine_temperature(P, A, B, C), and calculate_ideal_gas_density(P, T, MW). Lives in steer_core.Mixins.Thermodynamics.

Constants

Module-level constants shared across the ecosystem:

from steer_core.Constants.Units import MM_TO_M, M_TO_MM, KG_TO_G, J_TO_WH
from steer_core.Constants.Universal import PI, R_GAS, GRAVITY, STANDARD_PRESSURE
from steer_core.Constants.Format import DEFAULT_HOUR_FMT, DEFAULT_DAY_FMT

thickness_m = thickness_mm * MM_TO_M

Module	Contents
`Constants.Units`	Unit conversion factors — mass (`KG_TO_G`), length (`M_TO_MM`, `UM_TO_M`), time (`H_TO_S`), energy (`J_TO_WH`, `KW_TO_W`), pressure (`BAR_TO_PA`), temperature (`C_TO_K`), currency, and angles. Multiply a source-unit value by the factor to get the target unit.
`Constants.Universal`	Physical constants: `PI`, `TWO_PI`, `R_GAS` (8.3145 J/mol/K), `GRAVITY`, `STANDARD_PRESSURE`, `STANDARD_TEMPERATURE`
`Constants.Format`	Standard datetime format strings: `DEFAULT_HOUR_FMT` (`%Y-%m-%d-%H`), `DEFAULT_DAY_FMT` (`%Y-%m-%d`)

Decorators

Setter decorators that trigger recalculation of derived properties after an attribute changes.

from steer_core.Decorators.General import recalculate, calculate_all_properties
from steer_core.Decorators.Coordinates import calculate_coordinates

class Electrode(...):
    @thickness.setter
    @calculate_all_properties        # calls self._calculate_all_properties() after the set
    def thickness(self, value):
        self._thickness = value

    @datum.setter
    @calculate_coordinates           # calls self._calculate_coordinates() after the set
    def datum(self, value):
        self._datum = value

Decorator	Module	Triggers
`recalculate(*names, requires=None)`	`Decorators.General`	Factory — calls `self._calculate_<name>()` for each name, optionally gated on attribute predicates
`calculate_all_properties`	`Decorators.General`	`_calculate_all_properties()`
`calculate_bulk_properties`	`Decorators.General`	`_calculate_bulk_properties()`
`calculate_coordinates`	`Decorators.Coordinates`	`_calculate_coordinates()`
`calculate_areas`	`Decorators.Coordinates`	`_calculate_coordinates()` + `_calculate_areas()`
`calculate_volumes`	`Decorators.Coordinates`	`_calculate_bulk_properties()` + `_calculate_coordinates()`

Environment Variables

Variable	Required	Default	Description
`OPENCELL_ENV`	No	`development`	`development` = local SQLite, no auth. `production` = REST API + Cognito auth.
`API_URL`	In production	—	Base URL of the deployed REST API (e.g. `https://api.opencell.example.com/production`)
`API_TIMEOUT`	No	`30`	HTTP request timeout in seconds

Development vs Production Mode

Controlled by the OPENCELL_ENV environment variable. The helper is_development() from steer_core.Data is the single source of truth — use it anywhere you need to branch on mode.

from steer_core.Data import is_development

if is_development():
    # local SQLite path
else:
    # REST API path

Development mode (`OPENCELL_ENV=development` or unset)

SerializerMixin.from_database() uses the local SQLite database via steer_opencell_data.DataManager
No network calls, works fully offline
Requires steer-opencell-data installed with database.db
Use this when developing new cells locally before publishing via the CLI migration tool (steer-opencell-data CLI)

Production mode (`OPENCELL_ENV=production`)

SerializerMixin.from_database() uses the REST API via steer_core.Data.DataManager
Requires API_URL pointing to the deployed Lambda endpoint
JWT token passed automatically for authenticated operations (DataManager.set_token())
Logs API calls and S3 downloads to the steer_core.DataManager logger

DataManager REST Client

steer_core.Data.DataManager — drop-in replacement for the SQLite-based DataManager. Same interface, talks to the REST API + S3 instead.

Key methods

Method	What it does
`get_data(table, condition="name='X'")`	Fetch item + download blob from S3 presigned URL
`get_data(table)` (no condition)	List items — metadata only, no blob
`get_unique_values(table, column)`	List unique values from API
`get_table_names()`	List available tables
`insert_data(table, df)`	Upload blob to S3 via presigned URL
`remove_data(table, condition)`	Soft-delete via API
`set_token(token)`	Set JWT for authenticated requests

Domain-specific convenience methods (e.g. get_cathode_materials(), fork_cell(), publish_cell(), check_name_available()) live in OpenCellDataManager in the steer-opencell-design package, which subclasses this client.

Exceptions

Exception	HTTP Status	When
`DataManagerError`	—	Base class / missing `API_URL`
`APIError`	5xx	Server error
`AuthenticationError`	401	Missing or invalid token
`ForbiddenError`	403	Insufficient permissions
`NotFoundError`	404	Resource not found
`ConflictError`	409	Name already taken (fork/publish)

Logging

API calls and S3 downloads are logged to the steer_core.DataManager logger:

[steer_core.DataManager] [API] GET /materials/tape_materials/Kapton -> 200 (164 ms)
[steer_core.DataManager] [S3] Downloaded 0.2 KB in 499 ms

STEER Ecosystem

steer-core is the foundation of the STEER platform:

Package	Role
`steer-core`	This package. The mixin framework shared by all STEER packages — validation, serialization, coordinate systems, change propagation, Plotly-based plotting, and database access.
`steer-materials`	Base material classes with `from_database()` support, volumetric tracking, and metal subclasses.
`steer-opencell-design`	The cell design API that composes materials and components into complete virtual battery cells with cost, mass, and electrochemical calculations.
`steer-opencell-data`	The open dataset: local SQLite database of materials, reference cell designs, and commercial cell teardowns, plus the scripts that build it.

Documentation

Full documentation is available at stanford-developers.github.io/steer-core.

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

Citation

If you use this software, please cite it using the metadata in CITATION.cff.

License

steer-core is dual-licensed:

Open source — GNU Affero General Public License v3.0 or later (AGPL-3.0-or-later)
Commercial — A separate commercial license is available for use without AGPL-3.0 copyleft requirements. Contact nsiemons@stanford.edu for details.

See LICENSE for full terms.

Contributions require signing a Contributor License Agreement.

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CLA.md		CLA.md
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
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steer-core

Table of Contents

Install

Quick Start

Mixins

ValidationMixin

SerializerMixin

DunderMixin

PropagationMixin

PlotterMixin

CoordinateMixin

ColorMixin

DataMixin

DatumMixin

DateTimeMixin

ThermodynamicsMixin

Constants

Decorators

Environment Variables

Development vs Production Mode

Development mode (OPENCELL_ENV=development or unset)

Production mode (OPENCELL_ENV=production)

DataManager REST Client

Key methods

Exceptions

Logging

STEER Ecosystem

Documentation

Contributing

Citation

License

About

Topics

Resources

License

Code of conduct

Contributing

Security policy

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Watchers

Forks

Releases

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Languages

Development mode (`OPENCELL_ENV=development` or unset)

Production mode (`OPENCELL_ENV=production`)

Packages