API reference

API reference#

Some parts of the API are described on separate pages:

sdmx.model: SDMX Information Model.
sdmx.reader: Parse SDMX file formats.
sdmx.writer: Convert sdmx objects to other formats.
sdmx.source on the page Data sources.

Top-level methods and classes#

`Client`([source, log_level])	Client for a SDMX REST web service.
`Resource`(value[, names, module, qualname, ...])	Enumeration of SDMX-REST API resources.
`add_source`(info[, id, override])	Add a new data source.
`list_sources`()	Return a sorted list of valid source IDs.
`log`	Top-level logger.
`read_sdmx`(filename_or_obj[, format])	Load a SDMX-ML or SDMX-JSON message from a file or file-like object.
`read_url`(url, **kwargs)	Request a URL directly.
`to_csv`(obj, *args[, path, rtype])	Convert an SDMX obj to SDMX-CSV.
`to_pandas`(obj, args, *kwargs)	Convert an SDMX obj to `pandas` object(s).
`to_xml`(obj, **kwargs)	Convert an SDMX obj to SDMX-ML.

class sdmx.Client(source=None, log_level=None, **session_opts)[source]#

Client for a SDMX REST web service.

Parameters:

source (str or source.Source) – Identifier of a data source. If a string, must be one of the known sources in list_sources().
log_level (int) –
Override the package-wide logger with one of the standard logging levels.

Deprecated since version 2.0: Will be removed in sdmx version 3.0.
**session_opts – Additional keyword arguments are passed to Session.

get(resource_type=None, resource_id=None, tofile=None, use_cache=False, dry_run=False, **kwargs)[source]#

Retrieve SDMX data or metadata.

(Meta)data is retrieved from the source of the current Client. The item(s) to retrieve can be specified in one of two ways:

resource_type, resource_id: These give the type (see Resource) and, optionally, ID of the item(s). If the resource_id is not given, all items of the given type are retrieved.
a resource object, i.e. a MaintainableArtefact: resource_type and resource_id are determined by the object’s class and id attribute, respectively.

Data is retrieved with resource_type=’data’. In this case, the optional keyword argument key can be used to constrain the data that is retrieved. Examples of the formats for key:

{'GEO': ['EL', 'ES', 'IE']}: dict with dimension name(s) mapped to an iterable of allowable values.
{'GEO': 'EL+ES+IE'}: dict with dimension name(s) mapped to strings joining allowable values with ‘+’, the logical ‘or’ operator for SDMX web services.
'....EL+ES+IE': str in which ordered dimension values (some empty, '') are joined with '.'. Using this form requires knowledge of the dimension order in the target data resource_id; in the example, dimension ‘GEO’ is the fifth of five dimensions: '.'.join(['', '', '', '', 'EL+ES+IE']). CubeRegion.to_query_string() can also be used to create properly formatted strings.

For formats 1 and 2, but not 3, the key argument is validated against the relevant DataStructureDefinition, either given with the dsd keyword argument, or retrieved from the web service before the main query.

For the optional param keyword argument, some useful parameters are:

‘startperiod’, ‘endperiod’: restrict the time range of data to retrieve.
‘references’: control which item(s) related to a metadata resource are retrieved, e.g. references=’parentsandsiblings’.

Parameters:

resource_type (str or Resource, optional) – Type of resource to retrieve.
resource_id (str, optional) – ID of the resource to retrieve.
tofile (str or PathLike or file-like object, optional) – File path or file-like to write SDMX data as it is received.
use_cache (bool, optional) – If True, return a previously retrieved Message from cache, or update the cache with a newly-retrieved Message.
dry_run (bool, optional) – If True, prepare and return a requests.Request object, but do not execute the query. The prepared URL and headers can be examined by inspecting the returned object.
**kwargs – Other, optional parameters (below).
dsd (DataStructureDefinition) – Existing object used to validate the key argument. If not provided, an additional query executed to retrieve a DSD in order to validate the key.
force (bool) – If True, execute the query even if the source does not support queries for the given resource_type. Default: False.
headers (dict) – HTTP headers. Given headers will overwrite instance-wide headers passed to the constructor. Default: None to use the default headers of the source.
key (str or dict) – For queries with resource_type=’data’. str values are not validated; dict values are validated using make_constraint().
params (dict) – Query parameters. The SDMX REST web service guidelines describe parameters and allowable values for different queries. params is not validated before the query is executed.
provider (str) –
ID of the agency providing the data or metadata. Default: ID of the source agency.

An SDMX web service is a ‘data source’ operated by a specific, ‘source’ agency. A web service may host data or metadata originally published by one or more ‘provider’ agencies. Many sources are also providers. Other agencies—e.g. the SDMX Global Registry—simply aggregate (meta)data from other providers, but do not provide any (meta)data themselves.
resource (MaintainableArtefact subclass) – Object to retrieve. If given, resource_type and resource_id are ignored.
version (str) – version> of a resource to retrieve. Default: the keyword ‘latest’.

Returns:

The requested SDMX message or, if dry_run is True, the prepared request object.

Return type:

Message or Request

Raises:

NotImplementedError – If the source does not support the given resource_type and force is not True.

preview_data(flow_id, key={})[source]#

Return a preview of data.

For the Dataflow flow_id, return all series keys matching key. Uses a feature supported by some data providers that returns SeriesKeys without the corresponding Observations.

To count the number of series:

keys = sdmx.Client('PROVIDER').preview_data('flow')
len(keys)

To get a pandas object containing the key values:

keys_df = sdmx.to_pandas(keys)

Parameters:

flow_id (str) – Dataflow to preview.
key (dict, optional) – Mapping of dimension to values, where values may be a ‘+’-delimited list of values. If given, only SeriesKeys that match key are returned. If not given, preview_data is equivalent to list(client.series_keys(flow_id)).

Return type:

list of SeriesKey

series_keys(flow_id, use_cache=True)[source]#

Return all SeriesKey for flow_id.

Return type:: list

session = None#: Session for queries sent from the instance.

source = None#: source.Source for requests sent from the instance.

sdmx.Request(*args, **kwargs)[source]#: Compatibility function for Client.

New in version 2.0.

Deprecated since version 2.0: Will be removed in sdmx version 3.0.

class sdmx.Resource(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]#

Enumeration of SDMX-REST API resources.

`Enum` member	`sdmx.model` class
`actualconstraint`	`ContentConstraint`
`agencyscheme`	`AgencyScheme`
`allowedconstraint`	`ContentConstraint`
`attachementconstraint`	`AttachmentConstraint`
`categorisation`	`Categorisation`
`categoryscheme`	`CategoryScheme`
`codelist`	`Codelist`
`conceptscheme`	`ConceptScheme`
`contentconstraint`	`ContentConstraint`
`data`	`DataSet`
`dataflow`	`DataflowDefinition`
`dataconsumerscheme`	`DataConsumerScheme`
`dataproviderscheme`	`DataProviderScheme`
`datastructure`	`DataStructureDefinition`
`metadataflow`	`MetadataflowDefinition`
`metadatastructure`	`MetadataStructureDefinition`
`organisationscheme`	`OrganisationScheme`
`provisionagreement`	`ProvisionAgreement`
`structure`	Mixed.
`customtypescheme`	Not implemented.
`hierarchicalcodelist`	Not implemented.
`metadata`	Not implemented.
`namepersonalisationscheme`	Not implemented.
`organisationunitscheme`	Not implemented.
`process`	Not implemented.
`reportingtaxonomy`	Not implemented.
`rulesetscheme`	Not implemented.
`schema`	Not implemented.
`structureset`	Not implemented.
`transformationscheme`	Not implemented.
`userdefinedoperatorscheme`	Not implemented.
`vtlmappingscheme`	Not implemented.

classmethod class_name(value: Resource, default=None) → str[source]#

Return the name of a sdmx.model class from an enum value.

Values are returned in lower case.

classmethod from_obj(obj)[source]#: Return an enumeration value based on the class of obj.

sdmx.add_source(info: Dict | str, id: str | None = None, override: bool = False, **kwargs) → None[source]#

Add a new data source.

The info expected is in JSON format:

{
  "id": "ESTAT",
  "documentation": "http://data.un.org/Host.aspx?Content=API",
  "url": "http://ec.europa.eu/eurostat/SDMX/diss-web/rest",
  "name": "Eurostat",
  "supports": {"codelist": false, "preview": true}
}

…with unspecified values using the defaults; see Source.

Parameters:

info (dict-like) – String containing JSON information about a data source.
id (str) – Identifier for the new datasource. If None (default), then info[‘id’] is used.
override (bool) – If True, replace any existing data source with id. Otherwise, raise ValueError.
**kwargs – Optional callbacks for handle_response and finish_message hooks.

sdmx.list_sources()[source]#

Return a sorted list of valid source IDs.

These can be used to create Client instances.

sdmx.log = <Logger sdmx (WARNING)>[source]#: Top-level logger.

New in version 0.4.

sdmx.read_sdmx(filename_or_obj, format=None, **kwargs)[source]#

Load a SDMX-ML or SDMX-JSON message from a file or file-like object.

Parameters:

filename_or_obj (str or PathLike or file) –
format ('XML' or 'JSON', optional) –
dsd (DataStructureDefinition) – For “structure-specific” format`=``XML` messages only.

sdmx.read_url(url, **kwargs)[source]#: Request a URL directly.

sdmx.to_csv(obj, *args, path: ~os.PathLike | None = None, rtype: ~typing.Type[str | ~pandas.core.frame.DataFrame] = <class 'str'>, **kwargs) → None | str | DataFrame[source]#

Convert an SDMX obj to SDMX-CSV.

With rtype = DataFrame, the returned object is not necessarily in SDMX-CSV format. In particular, writing this to file using pandas.DataFrame.to_csv() will yield invalid SDMX-CSV, because pandas includes a CSV column corresponding to the index of the data frame. You must pass index=False to disable this behaviour. With rtype = str or when giving path, this is done automatically.

Parameters:

path (os.PathLike, optional) – Path to write an SDMX-CSV file. If given, nothing is returned.
rtype – Return type; see below. Pass literally str or pd.DataFrame; not an instance of either class.
kwargs – Keyword arugments passed to dataset().

Returns:

str – if rtype is str.
pd.DataFrame – if rtype is DataFrame.

Raises:

NotImplementedError – If obj is any class except DataSet; this is the only class for which the SDMX-CSV standard describes a format.

`format`: SDMX file formats#

This information is used across other modules including sdmx.reader, sdmx.client, and sdmx.writer.

class sdmx.format.Flag(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)#

Bases: IntFlag

Flag values for information about MediaType:

data: True if this format contains (meta)data. False if it contains (meta)data structures.
meta: True if this format contains metadata (or metadata structures). False otherwise.
ss: True if this format contains data that is structure-specific. This distinction is only relevant before SDMX 3.0.
ts: True if this format contains time-series data. This distinction is only relevant before SDMX 3.0.

data = 1#

meta = 2#

ss = 4#

ts = 8#

sdmx.format.MEDIA_TYPES = [application/vnd.sdmx.generic+xml; version=2.1, application/vnd.sdmx.genericdata+xml; version=2.1, application/vnd.sdmx.structurespecificdata+xml; version=2.1, application/vnd.sdmx.generictimeseriesdata+xml; version=2.1, application/vnd.sdmx.structurespecifictimeseriesdata+xml; version=2.1, application/vnd.sdmx.structure+xml; version=2.1, application/vnd.sdmx.data+xml; version=3.0.0, application/vnd.sdmx.structure+xml; version=3.0.0, application/vnd.sdmx.metadata+xml; version=2.0.0, application/vnd.sdmx.schema+xml; version=2.1, application/vnd.sdmx.genericmetadata+xml; version=2.1, application/vnd.sdmx.structurespecificmetadata+xml; version=2.1, application/xml; version=2.1, text/xml; version=2.1, application/vnd.sdmx.data+json; version=1.0.0, application/vnd.sdmx.data+json; version=2.0.0, application/vnd.sdmx.structure+json; version=1.0.0, application/vnd.sdmx.structure+json; version=2.0.0, application/vnd.sdmx.metadata+json; version=2.0.0, application/vnd.sdmx.draft-sdmx-json+json; version=1.0.0, draft-sdmx-json; version=1.0.0, text/json; version=1.0.0, application/vnd.sdmx.data+csv; version=1.0.0, application/vnd.sdmx.metadata+csv; version=2.0.0]#: SDMX formats. Each record is an instance of Format.

class sdmx.format.MediaType(label: str, base: ~typing.Literal['csv', 'json', 'xml'], version: ~typing.Literal['1.0.0', '2.0.0', '2.1', '3.0.0', 'unknown'], flags: ~sdmx.format.Flag = Flag.None, full: str | None = None)[source]#

Bases: object

Structure of elements in MEDIA_TYPES.

The str() of a MediaType is generally of the form:

application/vnd.sdmx.{label}+{base};version={version}

…unless full is provided, in which case label and base are ignored.

base: Literal['csv', 'json', 'xml']#: The base media type or file format.

flags: Flag = 0#

full: str | None = None#: Specify the full media type string.

property is_data: bool#

property is_meta: bool#

property is_structure_specific: bool#

property is_time_series: bool#

label: str#: Distinguishing part of the media type.

match(value: str, strict: bool = False) → bool[source]#: True if value matches the current MediaType.

version: Literal['1.0.0', '2.0.0', '2.1', '3.0.0', 'unknown']#: Format version.

sdmx.format.f#: alias of Flag

sdmx.format.list_media_types(**filters) → List[MediaType][source]#: Return the string for each item in MEDIA_TYPES matching filters.

SDMX-JSON#

Information about the SDMX-JSON file format.

SDMX-ML#

Information about the SDMX-ML file format.

sdmx.format.xml.class_for_tag(tag)[source]#: Return a message or model class for an XML tag.

sdmx.format.xml.qname(ns_or_name, name=None)[source]#: Return a fully-qualified tag name in namespace ns.

sdmx.format.xml.tag_for_class(cls)[source]#: Return an XML tag for a message or model class.

`message`: SDMX messages#

Classes for SDMX messages.

Message and related classes are not defined in the SDMX information model, but in the SDMX-ML standard.

sdmx also uses DataMessage to encapsulate SDMX-JSON data returned by data sources.

class sdmx.message.DataMessage(*, header: ~sdmx.message.Header = <Header> source: test: False, footer: ~sdmx.message.Footer | None = None, response: ~typing.Any | None = None, data: ~typing.List[~sdmx.model.v21.DataSet] = [], dataflow: ~sdmx.model.v21.DataflowDefinition = <DataflowDefinition (missing id)>, observation_dimension: ~sdmx.model.v21._AllDimensions | ~sdmx.model.v21.DimensionComponent | ~typing.List[~sdmx.model.v21.DimensionComponent] | None = None)[source]#

Bases: Message

Data Message.

Note

A DataMessage may contain zero or more DataSet, so data is a list. To retrieve the first (and possibly only) data set in the message, access the first element of the list: msg.data[0].

compare(other, strict=True)[source]#

Return True if self is the same as other.

Two DataMessages are the same if:

Message.compare() is True
their dataflow and observation_dimension compare equal.
they have the same number of DataSets, and
corresponding DataSets compare equal (see DataSet.compare()).

Parameters:: strict (bool, optional) – Passed to compare().

data: List[DataSet]#: list of DataSet.

dataflow: DataflowDefinition#: DataflowDefinition that contains the data.

observation_dimension: _AllDimensions | DimensionComponent | List[DimensionComponent] | None#: The “dimension at observation level”.

property structure#: DataStructureDefinition used in the dataflow.

class sdmx.message.ErrorMessage(*, header: ~sdmx.message.Header = <Header> source: test: False, footer: ~sdmx.message.Footer | None = None, response: ~typing.Any | None = None)[source]#: Bases: Message

class sdmx.message.Footer(*, severity: str | None = None, text: List[InternationalString] = [], code: int | None = None)[source]#

Bases: BaseModel

Footer of an SDMX-ML message.

SDMX-JSON messages do not have footers.

code: int | None#

compare(other, strict=True)[source]#

Return True if self is the same as other.

Two Footers are the same if their code, severity, and text are equal.

Parameters:: strict (bool, optional) – Passed to compare().

severity: str | None#

text: List[InternationalString]#: The body text of the Footer contains zero or more blocks of text.

class sdmx.message.Header(*, error: str | None = None, extracted: ~datetime.datetime | None = None, id: str | None = None, prepared: ~datetime.datetime | None = None, reporting_begin: ~datetime.datetime | None = None, reporting_end: ~datetime.datetime | None = None, receiver: ~sdmx.model.common.Agency | None = None, sender: ~sdmx.model.common.Agency | None = None, source: ~sdmx.model.internationalstring.InternationalString =, test: bool = False)[source]#

Bases: BaseModel

Header of an SDMX-ML message.

SDMX-JSON messages do not have headers.

compare(other, strict=True)[source]#

Return True if self is the same as other.

Two Headers are the same if their corresponding attributes are equal.

Parameters:: strict (bool, optional) – Passed to compare().

error: str | None#: (optional) Error code for the message.

extracted: datetime | None#: Date and time at which the data was extracted.

id: str | None#: Identifier for the message.

prepared: datetime | None#: Date and time at which the message was generated.

receiver: Agency | None#: Intended recipient of the message, e.g. the user’s name for an authenticated service.

reporting_begin: datetime | None#: Start of the time period covered by a DataMessage.

reporting_end: datetime | None#: End of the time period covered by a DataMessage.

sender: Agency | None#: The Agency associated with the data Source.

source: InternationalString#

test: bool#

class sdmx.message.Message(*, header: ~sdmx.message.Header = <Header> source: test: False, footer: ~sdmx.message.Footer | None = None, response: ~typing.Any | None = None)[source]#

Bases: BaseModel

class Config[source]#

Bases: object

arbitrary_types_allowed = True#

compare(other, strict=True)[source]#

Return True if self is the same as other.

Two Messages are the same if their header and footer compare equal.

Parameters:: strict (bool, optional) – Passed to compare().

footer: Footer | None#: (optional) Footer instance.

header: Header#: Header instance.

response: Any | None#: requests.Response instance for the response to the HTTP request that returned the Message. This is not part of the SDMX standard.

class sdmx.message.StructureMessage(*, header: ~sdmx.message.Header = <Header> source: test: False, footer: ~sdmx.message.Footer | None = None, response: ~typing.Any | None = None, categorisation: ~sdmx.util.DictLike[str, ~sdmx.model.common.Categorisation] = None, category_scheme: ~sdmx.util.DictLike[str, ~sdmx.model.common.CategoryScheme] = None, codelist: ~sdmx.util.DictLike[str, ~sdmx.model.v21.Codelist] = None, concept_scheme: ~sdmx.util.DictLike[str, ~sdmx.model.common.ConceptScheme] = None, constraint: ~sdmx.util.DictLike[str, ~sdmx.model.v21.ContentConstraint] = None, dataflow: ~sdmx.util.DictLike[str, ~sdmx.model.v21.DataflowDefinition] = None, metadataflow: ~sdmx.util.DictLike[str, ~sdmx.model.v21.MetadataflowDefinition] = None, structure: ~sdmx.util.DictLike[str, ~sdmx.model.v21.DataStructureDefinition] = None, organisation_scheme: ~sdmx.util.DictLike[str, ~sdmx.model.common.AgencyScheme] = None, provisionagreement: ~sdmx.util.DictLike[str, ~sdmx.model.v21.ProvisionAgreement] = None)[source]#

Bases: Message

add(obj: IdentifiableArtefact)[source]#: Add obj to the StructureMessage.

categorisation: DictLike[str, Categorisation]#: Collection of Categorisation.

category_scheme: DictLike[str, CategoryScheme]#: Collection of CategoryScheme.

codelist: DictLike[str, Codelist]#: Collection of Codelist.

compare(other, strict=True)[source]#

Return True if self is the same as other.

Two StructureMessages compare equal if DictLike.compare() is True for each of the object collection attributes.

Parameters:: strict (bool, optional) – Passed to DictLike.compare().

concept_scheme: DictLike[str, ConceptScheme]#: Collection of ConceptScheme.

constraint: DictLike[str, ContentConstraint]#: Collection of ContentConstraint.

dataflow: DictLike[str, DataflowDefinition]#: Collection of DataflowDefinition.

get(obj_or_id: str | IdentifiableArtefact) → IdentifiableArtefact | None[source]#

Retrieve obj_or_id from the StructureMessage.

Parameters:

obj_or_id (str or .IdentifiableArtefact) – If an IdentifiableArtefact, return an object of the same class and id; if str, an object with this ID.

Returns:

.IdentifiableArtefact – with the given ID and possibly class.
None – if there is no match.

Raises:

ValueError – if obj_or_id is a string and there are ≥2 objects (of different classes) with the same ID.

metadataflow: DictLike[str, MetadataflowDefinition]#: Collection of DataflowDefinition.

objects(cls)[source]#

Get a reference to the attribute for objects of type cls.

For example, if cls is the class DataStructureDefinition (not an instance), return a reference to structure.

organisation_scheme: DictLike[str, AgencyScheme]#: Collection of AgencyScheme.

provisionagreement: DictLike[str, ProvisionAgreement]#: Collection of ProvisionAgreement.

structure: DictLike[str, DataStructureDefinition]#: Collection of DataStructureDefinition.

`rest`: SDMX-REST standard#

Information related to the SDMX-REST web service standard.

sdmx.rest.RESPONSE_CODE = {200: 'OK', 304: 'No changes', 400: 'Bad syntax', 401: 'Unauthorized', 403: 'Semantic error', 404: 'Not found', 406: 'Not acceptable', 413: 'Request entity too large', 414: 'URI too long', 500: 'Internal server error', 501: 'Not implemented', 503: 'Unavailable'}#: Response codes defined by the SDMX-REST standard.

class sdmx.rest.URL(source: sdmx.source.Source, resource_type: Resource, resource_id: str, provider: str | None = None, agencyID: str | None = None, version: str | None = None, key: str | None = None)[source]#

Bases: object

Utility class to build SDMX REST URLs.

`session`: Access SDMX REST web services#

class sdmx.session.Session(timeout=30.1, **kwargs)[source]#

requests.Session subclass with optional caching.

If requests_cache is installed, this class inherits from CachedSession and caches responses.

Parameters:

timeout (float) – Timeout in seconds, used for every request.
kwargs – Values for any attributes of requests.Session, e.g. proxies, stream, or verify.

Raises:

TypeError – if requests_cache is not installed and any parameters are passed.

class sdmx.session.ResponseIO(response, tee=None)[source]#

Buffered wrapper for requests.Response with optional file output.

ResponseIO wraps a requests.Response object’s ‘content’ attribute, providing a file-like object from which bytes can be read() incrementally.

Parameters:

response (requests.Response) – HTTP response to wrap.
tee (binary, writable io.BufferedIOBase, defaults to io.BytesIO()) – tee is exposed as self.tee and not closed explicitly.

`urn`: Uniform Resource Names (URNs) for SDMX objects#

sdmx.urn.URN = re.compile('urn:sdmx:org\\.sdmx\\.infomodel\\.(?P<package>[^\\.]*)\\.(?P<class>[^=]*)=((?P<agency>[^:]*):)?(?P<id>[^\\(]*)(\\((?P<version>[\\d\\.]*)\\))?(\\.(?P<item_id>.*))?')#: Regular expression for URNs.

sdmx.urn.make(obj, maintainable_parent=None, strict=False)[source]#

Create an SDMX URN for obj.

If obj is not MaintainableArtefact, then maintainable_parent must be supplied in order to construct the URN.

sdmx.urn.match(value: str) → Dict[str, str][source]#: Match URN in value, returning a dict with the match groups.

`util`: Utilities#

class sdmx.util.DictLike(*args, **kwargs)[source]#

Bases: dict, MutableMapping[KT, VT]

Container with features of a dict & list, plus attribute access.

compare(other, strict=True)[source]#

Return True if self is the same as other.

Two DictLike instances are identical if they contain the same set of keys, and corresponding values compare equal.

Parameters:: strict (bool, optional) – Passed to compare() for the values.

copy()[source]#: Return a copy of the DictLike.

Used to provide extra information about a field, either for the model schema or complex validation. Some arguments apply only to number fields (int, float, Decimal) and some apply only to str.

Parameters:

default – since this is replacing the field’s default, its first argument is used to set the default, use ellipsis (...) to indicate the field is required
default_factory – callable that will be called when a default value is needed for this field If both default and default_factory are set, an error is raised.
alias – the public name of the field
title – can be any string, used in the schema
description – can be any string, used in the schema
exclude – exclude this field while dumping. Takes same values as the include and exclude arguments on the .dict method.
include – include this field while dumping. Takes same values as the include and exclude arguments on the .dict method.
const – this field is required and must take it’s default value
gt – only applies to numbers, requires the field to be “greater than”. The schema will have an exclusiveMinimum validation keyword
ge – only applies to numbers, requires the field to be “greater than or equal to”. The schema will have a minimum validation keyword
lt – only applies to numbers, requires the field to be “less than”. The schema will have an exclusiveMaximum validation keyword
le – only applies to numbers, requires the field to be “less than or equal to”. The schema will have a maximum validation keyword
multiple_of – only applies to numbers, requires the field to be “a multiple of”. The schema will have a multipleOf validation keyword
allow_inf_nan – only applies to numbers, allows the field to be NaN or infinity (+inf or -inf), which is a valid Python float. Default True, set to False for compatibility with JSON.
max_digits – only applies to Decimals, requires the field to have a maximum number of digits within the decimal. It does not include a zero before the decimal point or trailing decimal zeroes.
decimal_places – only applies to Decimals, requires the field to have at most a number of decimal places allowed. It does not include trailing decimal zeroes.
min_items – only applies to lists, requires the field to have a minimum number of elements. The schema will have a minItems validation keyword
max_items – only applies to lists, requires the field to have a maximum number of elements. The schema will have a maxItems validation keyword
unique_items – only applies to lists, requires the field not to have duplicated elements. The schema will have a uniqueItems validation keyword
min_length – only applies to strings, requires the field to have a minimum length. The schema will have a minLength validation keyword
max_length – only applies to strings, requires the field to have a maximum length. The schema will have a maxLength validation keyword
allow_mutation – a boolean which defaults to True. When False, the field raises a TypeError if the field is assigned on an instance. The BaseModel Config must set validate_assignment to True
regex – only applies to strings, requires the field match against a regular expression pattern string. The schema will have a pattern validation keyword
discriminator – only useful with a (discriminated a.k.a. tagged) Union of sub models with a common field. The discriminator is the name of this common field to shorten validation and improve generated schema
repr – show this field in the representation
**extra –
any additional keyword arguments will be added as is to the schema

sdmx.util.compare(attr, a, b, strict: bool) → bool[source]#

Return True if a.attr == b.attr.

If strict is False, None is permissible as a or b; otherwise,

sdmx.util.dictlike_field()[source]#: Shorthand for pydantic.Field with DictLike default factory.

sdmx.util.only(iterator: Iterator) → Any[source]#: Return the only element of iterator, or None.

sdmx.util.validate_dictlike(cls)[source]#

Adjust cls so that its DictLike members are validated.

This is necessary because DictLike is a subclass of dict, and so pydantic fails to call __get_validators__() and register those on BaseModels which include DictLike members.

API reference

Contents

API reference#

Top-level methods and classes#

format: SDMX file formats#

SDMX-JSON#

SDMX-ML#

message: SDMX messages#

rest: SDMX-REST standard#

session: Access SDMX REST web services#

urn: Uniform Resource Names (URNs) for SDMX objects#

util: Utilities#

`format`: SDMX file formats#

`message`: SDMX messages#

`rest`: SDMX-REST standard#

`session`: Access SDMX REST web services#

`urn`: Uniform Resource Names (URNs) for SDMX objects#

`util`: Utilities#