Discover available TNSO (Thailand National Statistical Office) dataflows. Optionally filter by comma-separated keywords (matched against id, Thai/English name and description). Start here to find a dataset, then call get_constraints.

Get the data structure (DSD) for a datastructure id: the ordered list of dimensions and the codelist each uses. Fast path when you already know the codes.

Get all valid dimension values (with Thai/English labels) and the available time range for a dataflow. One call returns everything needed to build a get_data query. Time periods are Buddhist Era (BE = Gregorian + 543).

Get Thai and English labels for every code in a codelist (e.g. 'CL_CWT').

Resolve a TNSO SDMX concept id to its Thai or English name (searches all TNSO concept schemes; result cached). Use lang='th' or lang='en'.

Fetch observations for a dataflow as a TSV table, with reproducible CSV/curl URLs. Supports dimension filtering and a time range. Omit dimensions from dimension_filters to get all their values; pass multiple codes per dimension as an array. If no period is given, the latest available year is returned. IMPORTANT: start_period/end_period are Buddhist Era years (e.g. 2567 = 2024).

Check persistent-cache health (exists, size, writability). Pass debug=true to additionally reveal the cache path and stored keys (host-sensitive). For debugging.

Look up Thai geography codes used by the AREA / CWT dimensions: level='region' (CL_AREA), 'province' (CL_CWT, 77 changwat), or 'district' (CL_AMPHOE). Filter by 'name' (Thai or English substring). Use this to find codes before calling get_data.