libera_utils.footprint_matching.readers.base.AncillaryReader#

class libera_utils.footprint_matching.readers.base.AncillaryReader(file_paths: Sequence[Path])#

Bases: ABC

Abstract base class for all ancillary data readers.

Each concrete subclass reads one external data source (IGBP land cover, NSIDC sea ice, ERA5 wind, …) and serves the native samples inside a footprint’s bounding box, selected in time by its TimeMatch policy. Subclass StaticReader or SteppedGridReader, not this class directly.

Class-Level Attributes (required on every concrete subclass)#

READER_KEYstr

Unique string key used to register the reader in ReaderRegistry, and the prefix of its product variable names, spelled as in the product (Camel_Case, acronyms in capitals). Examples: "IGBP", "NISE", "ERA5_Surface", "VIIRS_AOD".

INSTRUMENTstr

Instrument / platform token recorded in each output variable’s long_name for provenance, e.g. "NOAA20", "MODIS", "ECMWF". The variable name is f"{READER_KEY}_{spec.name}"; the instrument is appended to the product-definition long_name as "... ({INSTRUMENT})".

RESOLUTION_KMfloat

Native sample spacing of the source in km. The weigher sizes its coverage measure from it, unless the reader measures the spacing on the granule itself (PointSamples.spacing_km), which then takes precedence.

VARIABLEStuple[VariableSpec, …]

Ordered tuple of the variables this reader reads from its source, each named as in the product without the READER_KEY prefix (e.g. "Sea_Ice_Concentration"). Axis 0 of every values array follows this order.

TIME_MATCHTimeMatch

The time-selection policy (see the module docstring).

PASS_WINDOWnp.timedelta64 or None

NEAREST_PASS only: samples within this window of the observation time of the sample nearest the footprint time are the nearest pass. Required for that policy; None otherwise.

MAX_TIME_OFFSETnp.timedelta64 or None

NEAREST_STEP and NEAREST_PASS: the largest sample-to-footprint time offset accepted; beyond it the query returns no samples. Required for those policies; None for DAILY.

TIMESTAMP_SOURCEstr or None

For cloud-property products, 'radiometer' or 'camera'; recorded on every SampleSet served. None (the default) for surface and static products.

ADDITIONAL_PRODUCT_VARIABLEStuple[VariableSpec, …]

Extra variables this reader contributes to the product definition that are derived during PSF aggregation rather than read (e.g. IGBP’s ranked scenes). Standard-deviation companions are added automatically (see product_variable_specs).

PRODUCT_STACKStuple[ProductStack, …]

Product variables that stack several product specs along a second product dimension (e.g. ERA5’s pressure levels). A stack whose members all have standard-deviation companions gains a companion stack (see product_stacks).

param file_paths:

The staged granules of this source, on the local filesystem; each element is converted with Path. A reader that reads one granule per period uses single_file_path; one that concatenates granules uses file_paths.

type file_paths:

Sequence[Path]

raises TypeError:

If file_paths is a single str or Path rather than a sequence of them.

raises ValueError:

If file_paths is empty.

raises FileNotFoundError:

If any path in file_paths is not an existing file; the message names the reader and every such path.

__init__(file_paths: Sequence[Path]) → None#

Methods

preload()

Load whatever this reader holds for the whole run, ahead of the first query.

product_stacks()

Return every stacked product variable this reader contributes.

product_variable_specs()

Return every variable this reader contributes to the product definition.

samples_in(bbox, time)

Return the native samples inside bbox that match time.

Attributes

ADDITIONAL_PRODUCT_VARIABLES

MAX_TIME_OFFSET

PASS_WINDOW

PRODUCT_STACKS

TIMESTAMP_SOURCE

file_paths

The staged granule paths passed at construction, in the order given.

n_variables

Number of read variables (the first axis of every values array).

single_file_path

The one granule of a reader that reads exactly one per period.

ADDITIONAL_PRODUCT_VARIABLES: tuple[VariableSpec, ...] = ()#
MAX_TIME_OFFSET: timedelta64 | None = None#
PASS_WINDOW: timedelta64 | None = None#
PRODUCT_STACKS: tuple[ProductStack, ...] = ()#
TIMESTAMP_SOURCE: str | None = None#
_box_samples(native: GridSamples | _PointIndex | _BoxNative, bbox: BoundingBox) → tuple[ndarray, ndarray, ndarray, ndarray | None]#

Return (lats, lons, values, times) of the native samples inside one plain box.

Raises:

TypeError – If native is none of the three native forms.

classmethod _check_product_stacks() → None#

Reject a PRODUCT_STACKS declaration the product could not be built from.

Raises:

TypeError – If a stack names a spec the reader does not produce, a spec is stacked twice, a stack takes the name of a product spec, a stack’s members have standard-deviation companions for some members but not others, or a stack’s members do not all have the same modes.

_index_points(native: PointSamples) → _PointIndex#

Validate a loaded point cloud against the reader’s contract and index it.

abstractmethod _native_for(time: datetime64) → tuple[GridSamples | _PointIndex | _BoxNative, ...]#

Return the native data a query at time draws from; empty for no match.

StaticReader returns its one indexed body of data regardless of time; SteppedGridReader the step nearest time, or nothing when that step is farther than MAX_TIME_OFFSET.

_nearest_pass_mask(times: ndarray, time: datetime64, inside: ndarray) → ndarray#

Boolean mask of the samples that belong to the pass nearest time.

The nearest pass is every sample, padding included, within PASS_WINDOW of the observation time of the sample nearest time among the samples inside the footprint’s own (unpadded) box, so a pass that only clips the padding, where the PSF weight is zero, cannot displace one that covers the footprint. The window is centred on that sample’s own time rather than on its offset, so two passes on either side of the footprint time are never served together. When no sample lies inside the box (a footprint smaller than one native cell), the nearest sample is taken from every served sample; on a tie, the first in array order. When its offset exceeds MAX_TIME_OFFSET no sample is kept.

_padded(bbox: BoundingBox, resolution_km: float) → BoundingBox#

Widen bbox by half a native cell (resolution_km) on every side.

A sample whose cell overlaps the footprint’s box belongs to the footprint even when its center lies just outside: without the padding a coarse grid (ERA5 at 0.25 degree) never serves the points whose cells cover the rim of the contour, and the weigher scores the rim as missing. The PSF weight of a sample outside the contour is zero, so padding changes no aggregated value, only the coverage.

_require_valid_time(time: datetime64) → None#

Raise when a footprint time a time-selecting query needs is NaT.

Raises:

ValueError – If time is NaT.

_resolution_km(natives: tuple[GridSamples | _PointIndex | _BoxNative, ...]) → float#

The native cell size the served samples stand for, km.

The largest spacing a loaded point cloud measured on itself, else the reader’s declared RESOLUTION_KM. A measured spacing wins because a swath subsampled on delivery (e.g. every eighth pixel) must be credited with the cell it really stands for, not the instrument’s nominal one.

_unknown_native_message(native: object) → str#
property file_paths: tuple[Path, ...]#

The staged granule paths passed at construction, in the order given.

property n_variables: int#

Number of read variables (the first axis of every values array).

preload() → None#

Load whatever this reader holds for the whole run, ahead of the first query.

A process pool calls this before forking so the workers share one copy of the loaded data. This base implementation loads nothing: a reader that loads by time step or pass window loads on the query that needs it. StaticReader overrides it to load its whole source.

classmethod product_stacks() → tuple[ProductStack, ...]#

Return every stacked product variable this reader contributes.

Each stack in PRODUCT_STACKS, followed by a <name>_Standard_Deviation stack of its members’ companions when its members are continuous. The stacked members leave the product as separate variables; every other spec in product_variable_specs stays a 1-D product variable.

classmethod product_variable_specs() → tuple[VariableSpec, ...]#

Return every variable this reader contributes to the product definition.

This is the full set of output variables – what appears, prefixed with <READER_KEY>_, in the FMATCH product definition YAMLs and what the product/test cross-check is built against. It is distinct from VARIABLES (the smaller set actually read from the source file) and is composed of, in order:

  1. each read variable in VARIABLES;

  2. a <name>_Standard_Deviation companion for every continuous (mean-aggregated) read variable, inserted right after its parent by with_standard_deviation_companions();

  3. any reader-specific derived outputs declared in ADDITIONAL_PRODUCT_VARIABLES (e.g. IGBP ranked scenes).

samples_in(bbox: BoundingBox, time: datetime64) → SampleSet#

Return the native samples inside bbox that match time.

Parameters:
  • bbox (BoundingBox) – The footprint’s geographic box, widened by half a native cell (RESOLUTION_KM) on every side so a sample whose cell overlaps the box is served. A box that wraps the antimeridian (given in the [0, 360) form) is split and both halves served.

  • time (np.datetime64) – The footprint’s observation time (radiometer or camera time). Ignored by a DAILY reader.

Returns:

The selected samples; zero samples when the box holds none, or when no sample lies within MAX_TIME_OFFSET of time.

Return type:

SampleSet

Raises:
  • ValueError – If time is NaT and this reader selects in time; if more than one granule is staged for a reader that reads one per period; if the loaded data carries a different number of variables than VARIABLES; if a stepped reader’s step times are empty, hold a NaT or are not strictly ascending; or if a NEAREST_PASS reader serves samples without per-sample times.

  • TypeError – If the reader’s native data is none of GridSamples, PointSamples or a box-queried native.

property single_file_path: Path#

The one granule of a reader that reads exactly one per period.

Raises:

ValueError – If more than one granule was staged for this reader.