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strukto-ai--mirage/python/mirage/core/postgres/scope.py
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wehub-resource-sync bcbd1bdb22
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chore: import upstream snapshot with attribution
2026-07-13 12:30:44 +08:00

73 lines
2.6 KiB
Python

# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ========= Copyright 2026 @ Strukto.AI All Rights Reserved. =========
from dataclasses import dataclass
from mirage.types import PathSpec
@dataclass
class PostgresScope:
level: str
schema: str | None = None
kind: str | None = None
entity: str | None = None
file: str | None = None
resource_path: str = "/"
def detect_scope(path: PathSpec) -> PostgresScope:
raw = path.mount_path if isinstance(path, PathSpec) else path
key = raw.strip("/")
if not key:
return PostgresScope(level="root", resource_path="/")
if key == "database.json":
return PostgresScope(level="database_json",
file="database.json",
resource_path=raw)
parts = key.split("/")
if len(parts) == 1:
return PostgresScope(level="schema",
schema=parts[0],
resource_path=raw)
if len(parts) == 2 and parts[1] in ("tables", "views"):
return PostgresScope(level="kind",
schema=parts[0],
kind=parts[1],
resource_path=raw)
if len(parts) == 3 and parts[1] in ("tables", "views"):
return PostgresScope(level="entity",
schema=parts[0],
kind=parts[1],
entity=parts[2],
resource_path=raw)
if len(parts) == 4 and parts[1] in ("tables", "views") and parts[3] in (
"schema.json", "rows.jsonl"):
level = "entity_schema" if parts[3] == "schema.json" else "entity_rows"
return PostgresScope(level=level,
schema=parts[0],
kind=parts[1],
entity=parts[2],
file=parts[3],
resource_path=raw)
return PostgresScope(level="invalid", resource_path=raw)