"""SPARQL implementation for RDFLib

!!! example "New in version 4.0"
"""

from importlib.metadata import entry_points
from typing import TYPE_CHECKING

SPARQL_LOAD_GRAPHS = True
"""
If True, using FROM <uri> and FROM NAMED <uri>
will load/parse more data
"""


SPARQL_DEFAULT_GRAPH_UNION = True
"""
If True - the default graph in the RDF Dataset is the union of all
named graphs (like RDFLib's ConjunctiveGraph)
"""


CUSTOM_EVALS = {}
"""
Custom evaluation functions

These must be functions taking (ctx, part) and raise
NotImplementedError if they cannot handle a certain part
"""


PLUGIN_ENTRY_POINT = "rdf.plugins.sparqleval"


from . import operators, parser, parserutils
from .processor import prepareQuery, prepareUpdate, processUpdate

assert parser
assert operators
assert parserutils


all_entry_points = entry_points()
if hasattr(all_entry_points, "select"):
    for ep in all_entry_points.select(group=PLUGIN_ENTRY_POINT):
        CUSTOM_EVALS[ep.name] = ep.load()
else:
    # Prior to Python 3.10, this returns a dict instead of the selection interface
    if TYPE_CHECKING:
        assert isinstance(all_entry_points, dict)
    for ep in all_entry_points.get(PLUGIN_ENTRY_POINT, []):
        CUSTOM_EVALS[ep.name] = ep.load()

__all__ = [
    "prepareQuery",
    "prepareUpdate",
    "processUpdate",
    "operators",
    "parser",
    "parserutils",
    "CUSTOM_EVALS",
]