hydromodpy.analysis.catalog

Common catalog primitives for campaign-oriented analysis workflows.

Functions

detect_catalog_format(path, *, declared_format)	Resolve the effective catalog format from a declaration and suffix.
load_catalog_rows(spec)	Load normalized rows from a CSV or JSONL catalog.
merge_tags(*tag_groups)	Merge multiple tag groups while preserving the first-seen casing.
normalize_catalog_mapping(mapping)	Normalize raw CSV/JSONL row keys while preserving row values.
normalize_float(value)	Return one optional float-like value.
normalize_required_field_names(mapping, *, ...)	Return the subset of required fields that are missing from one mapping.
normalize_tags(value, *, separator)	Normalize tags from CSV or JSONL payloads.
normalize_text(value)	Return one stripped optional text value.
parse_bool(value)	Parse common string/number bool representations.
resolve_catalog_path(*, catalog_path, raw_value)	Resolve one optional path-like field relative to the catalog directory.
row_matches_selector(row, *, selector)	Return whether one generic catalog row matches a selector.
select_catalog_rows(rows, *, selector)	Filter catalog rows while preserving source order.

Classes

CatalogLoadSpec(path[, format, ...])	Generic CSV/JSONL catalog-loading contract.
CatalogRow(raw, resolved_paths, ...)	One normalized row loaded from a campaign catalog.
CatalogRowSelector([field_equals, tags, ...])	Generic row selector shared by catalog-backed campaign workflows.