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Plugin loading in `rdflib.plugins.sparql` will now happen similar to what is being done for `rdflib.plugins`. This also eliminates a warning that occurs `rdflib.plugins.sparql` and makes it possible to enable `warn_unused_ignores` without any exceptions or workarounds. Also: - Removed unused `type: ignore` statements.
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28 changes: 28 additions & 0 deletions
28
test/plugins/parser/example/rdflib/plugin/parser/__init__.py
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from typing import TYPE_CHECKING, Set, Tuple | ||
from rdflib.parser import Parser | ||
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if TYPE_CHECKING: | ||
from rdflib.parser import InputSource | ||
from rdflib.graph import Graph | ||
from rdflib.namespace import Namespace | ||
from rdflib.term import Identifier | ||
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class ExampleParser(Parser): | ||
def __init__(self): | ||
super().__init__() | ||
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def parse(self, source: "InputSource", sink: "Graph"): | ||
for triple in self.constant_output(): | ||
sink.add(triple) | ||
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@classmethod | ||
def namespace(cls) -> "Namespace": | ||
return Namespace("example:rdflib:plugin:parser:") | ||
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@classmethod | ||
def constant_output(cls) -> Set[Tuple["Identifier", "Identifier", "Identifier"]]: | ||
return {(cls.namespace().subj, cls.namespace().pred, cls.namespace().obj)} | ||
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from rdflib.namespace import Namespace |
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# https://setuptools.pypa.io/en/latest/userguide/declarative_config.html | ||
# https://setuptools.pypa.io/en/latest/references/keywords.html | ||
[metadata] | ||
name = example.rdflib.plugin.parser | ||
version = 0.0.0 | ||
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[options] | ||
packages = find_namespace: | ||
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[options.packages.find] | ||
include = | ||
example.rdflib.plugin.parser | ||
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[options.entry_points] | ||
rdf.plugins.parser = | ||
example.rdflib.plugin.parser = example.rdflib.plugin.parser:ExampleParser |
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from setuptools import setup | ||
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setup() |
34 changes: 34 additions & 0 deletions
34
test/plugins/sparqleval/example/rdflib/plugin/sparqleval/__init__.py
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from typing import Any | ||
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def custom_eval_extended(ctx: Any, extend: Any) -> Any: | ||
for c in evalPart(ctx, extend.p): | ||
try: | ||
if hasattr(extend.expr, "iri") and extend.expr.iri == function_uri: | ||
evaluation = function_result | ||
else: | ||
evaluation = _eval(extend.expr, c.forget(ctx, _except=extend._vars)) | ||
if isinstance(evaluation, SPARQLError): | ||
raise evaluation | ||
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yield c.merge({extend.var: evaluation}) | ||
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except SPARQLError: | ||
yield c | ||
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def custom_eval(ctx: Any, part: Any) -> Any: | ||
if part.name == "Extend": | ||
return custom_eval_extended(ctx, part) | ||
else: | ||
raise NotImplementedError() | ||
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from rdflib import Namespace | ||
from rdflib.plugins.sparql.evaluate import evalPart | ||
from rdflib.plugins.sparql.evalutils import _eval | ||
from rdflib.plugins.sparql.sparql import SPARQLError | ||
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namespace = Namespace("example:rdflib:plugin:sparqleval:") | ||
function_uri = namespace["function"] | ||
function_result = namespace["result"] |
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# https://setuptools.pypa.io/en/latest/userguide/declarative_config.html | ||
# https://setuptools.pypa.io/en/latest/references/keywords.html | ||
[metadata] | ||
name = example.rdflib.plugin.sparqleval | ||
version = 0.0.0 | ||
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[options] | ||
packages = find_namespace: | ||
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[options.packages.find] | ||
include = | ||
example.rdflib.plugin.sparqleval | ||
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[options.entry_points] | ||
rdf.plugins.sparqleval = | ||
example.rdflib.plugin.sparqleval = example.rdflib.plugin.sparqleval:custom_eval |
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from setuptools import setup | ||
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setup() |
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import importlib | ||
import logging | ||
import shutil | ||
import subprocess | ||
import sys | ||
from contextlib import ExitStack, contextmanager | ||
from pathlib import Path | ||
from typing import Any, Callable, Dict, Generator, List | ||
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from sphinx import warnings | ||
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import rdflib.plugin | ||
import rdflib.plugins.sparql | ||
import rdflib.plugins.sparql.evaluate | ||
from rdflib import Graph | ||
from rdflib.parser import Parser | ||
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TEST_DIR = Path(__file__).parent | ||
TEST_PLUGINS_DIR = TEST_DIR / "plugins" | ||
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def del_key(d: Dict[Any, Any], key: Any) -> None: | ||
del d[key] | ||
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@contextmanager | ||
def ctx_plugin(tmp_path: Path, plugin_src: Path) -> Generator[None, None, None]: | ||
base = tmp_path / f"{hash(plugin_src)}" | ||
pypath = (base / "pypath").absolute() | ||
plugpath = (base / "plugin").absolute() | ||
shutil.copytree(plugin_src, plugpath) | ||
logging.debug("Installing %s into %s", plugin_src, pypath) | ||
subprocess.run( | ||
[ | ||
sys.executable, | ||
"-m", | ||
"pip", | ||
"install", | ||
"--isolated", | ||
"--no-input", | ||
"--no-clean", | ||
"--no-index", | ||
"--disable-pip-version-check", | ||
"--target", | ||
f"{pypath}", | ||
f"{plugpath}", | ||
], | ||
check=True, | ||
) | ||
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sys.path.append(f"{pypath}") | ||
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yield None | ||
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sys.path.remove(f"{pypath}") | ||
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@contextmanager | ||
def ctx_cleaners() -> Generator[List[Callable[[], None]], None, None]: | ||
cleaners: List[Callable[[], None]] = [] | ||
yield cleaners | ||
for cleaner in cleaners: | ||
logging.debug("running cleaner %s", cleaner) | ||
cleaner() | ||
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def test_sparqleval(tmp_path: Path) -> None: | ||
with ExitStack() as stack: | ||
stack.enter_context(ctx_plugin(tmp_path, TEST_PLUGINS_DIR / "sparqleval")) | ||
warnings_record = stack.enter_context(warnings.catch_warnings(record=True)) | ||
cleaners = stack.enter_context(ctx_cleaners()) | ||
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ep_name = "example.rdflib.plugin.sparqleval" | ||
ep_ns = f'{ep_name.replace(".", ":")}:' | ||
plugin_module = importlib.import_module(ep_name) | ||
assert plugin_module.namespace == ep_ns | ||
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importlib.reload(rdflib.plugins.sparql) | ||
importlib.reload(rdflib.plugins.sparql.evaluate) | ||
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cleaners.insert(0, lambda: del_key(rdflib.plugins.sparql.CUSTOM_EVALS, ep_name)) | ||
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logging.debug( | ||
"rdflib.plugins.sparql.CUSTOM_EVALS = %s", | ||
rdflib.plugins.sparql.CUSTOM_EVALS, | ||
) | ||
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graph = Graph() | ||
query_string = ( | ||
"SELECT ?output1 WHERE { BIND(<" + ep_ns + "function>() AS ?output1) }" | ||
) | ||
logging.debug("query_string = %s", query_string) | ||
result = graph.query(query_string) | ||
assert result.type == "SELECT" | ||
rows = list(result) | ||
logging.debug("rows = %s", rows) | ||
assert len(rows) == 1 | ||
assert len(rows[0]) == 1 | ||
assert rows[0][0] == plugin_module.function_result | ||
assert [str(msg) for msg in warnings_record] == [] | ||
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def test_parser(tmp_path: Path) -> None: | ||
with ExitStack() as stack: | ||
stack.enter_context(ctx_plugin(tmp_path, TEST_PLUGINS_DIR / "parser")) | ||
warnings_record = stack.enter_context(warnings.catch_warnings(record=True)) | ||
cleaners = stack.enter_context(ctx_cleaners()) | ||
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ep_name = "example.rdflib.plugin.parser" | ||
ep_ns = f'{ep_name.replace(".", ":")}:' | ||
plugin_module = importlib.import_module(ep_name) | ||
assert plugin_module.ExampleParser.namespace() == ep_ns | ||
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importlib.reload(rdflib.plugin) | ||
cleaners.insert(0, lambda: del_key(rdflib.plugin._plugins, (ep_name, Parser))) | ||
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graph = Graph() | ||
assert len(graph) == 0 | ||
graph.parse(format=ep_name, data="") | ||
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assert len(graph) > 0 | ||
triples = set(graph.triples((None, None, None))) | ||
logging.debug("triples = %s", triples) | ||
assert triples == plugin_module.ExampleParser.constant_output() | ||
assert [str(msg) for msg in warnings_record] == [] |