def compile_sequence(node, state):
total_length = len(node.items)
verify_call = IR.call("count", [state.compute_path()])
length_verifier = IR.filter(verify_call, total_length, "=")
if total := node.items.count(grammar.Expand):
state.ensure(node, total == 1)
length_verifier = IR.filter(verify_call, total_length - 1, ">=")
def aggregate_array(state):
# If we are in a nested list search (e.g: Call(args=[Call(args=[Name()])]))
# we can't directly use `ORDER BY @index` since the EdgeDB can't quite infer
# which @index are we talking about.
if len(state.parents) >= 1:
path = IR.attribute(
IR.typed(IR.name(_COMPILER_WORKAROUND_FOR_TARGET), state.match),
state.pointer,
)
body = IR.loop(
IR.name(_COMPILER_WORKAROUND_FOR_TARGET),
state.parents[-1].compute_path(allow_missing=True),
IR.select(path, order=IR.property("index")),
)
else:
body = IR.select(state.compute_path(), order=IR.property("index"))
return IR.call("array_agg", [body])
def convert_length(node, state, arguments):
state.ensure(node, any((arguments.min, arguments.max)))
count = IR.call("count", [state.compute_path()])
filters = None
for value, operator in [
(arguments.min, IR.as_operator(">=")),
(arguments.max, IR.as_operator("<=")),
]:
if value is None:
continue
state.ensure(value, isinstance(value, grammar.Constant))
state.ensure(value, isinstance(value.value, int))
filters = IR.combine_filters(
filters, IR.filter(count, IR.literal(value.value), operator))
assert filters is not None
return filters
def serialize_sequence(sequence, context):
ir_set = IR.set([serialize(value, context) for value in sequence])
if all(isinstance(item, _BASIC_SET_TYPES) for item in sequence):
# {1, 2, 3} / {<ast::op>'Add', <ast::op>'Sub', ...}
return ir_set
else:
# Inserting a sequence of AST objects would require special
# attention to calculate the index property.
target = IR.name("item")
scope = IR.namespace({"items": ir_set})
loop = IR.loop(
target,
IR.call("enumerate", [IR.name("items")]),
IR.select(
IR.attribute(target, 1),
selections=[
IR.assign(IR.property("index"), IR.attribute(target, 0))
],
),
)
return IR.add_namespace(scope, loop)
def insert_file(context):
if context.is_cached():
return Insertion.CACHED
if not (tree := context.as_ast()):
return Insertion.SKIPPED
with context.connection.transaction():
module = apply_ast(tree, context)
module_select = IR.select(tree.kind_name,
filters=IR.object_ref(module),
limit=1)
update_filter = IR.filter(
IR.attribute(None, "id"),
IR.call("array_unpack",
[IR.cast("array<uuid>", IR.variable("ids"))]),
"IN",
)
for base_type in Schema.module_annotated_types:
update = IR.update(
base_type.kind_name,
filters=update_filter,
assignments={"_module": module_select},
)
context.connection.query(IR.construct(update),
ids=context.reference_pool)
logger.info("%r has been inserted successfully", context.filename)
context.cache()
return Insertion.INSERTED
def convert_all_any(node, state, arguments):
return IR.call(node.name.lower(), [state.codegen(arguments.value)])
"_module",
[
IR.selection("filename"),
IR.selection(
"project",
[IR.selection("git_source"),
IR.selection("git_revision")],
),
],
),
]
STATS_QUERY = IR.construct(
IR.select(
IR.merge(
IR.call("count", [IR.wrap(name)]) for name in STATISTICS_NODES)))
class LocationNode(ast.AST):
_attributes = ("lineno", "col_offset", "end_lineno", "end_col_offset")
def get_username(link):
if link.endswith("/"):
index = 3
else:
index = 2
return link.split("/")[-index]
