inventory/crudkit/core/base.py
2025-09-26 14:59:33 -05:00

205 lines
7.7 KiB
Python

from typing import Any, Dict, Iterable, List, Tuple
from sqlalchemy import Column, Integer, DateTime, Boolean, String, JSON, func, inspect
from sqlalchemy.orm import declarative_mixin, declarative_base, NO_VALUE
Base = declarative_base()
def _safe_get_loaded_attr(obj, name):
try:
st = inspect(obj)
attr = st.attrs.get(name)
if attr is not None:
val = attr.loaded_value
return None if val is NO_VALUE else val
if name in st.dict:
return st.dict.get(name)
return None
except Exception:
return None
def _split_field_tokens(fields: Iterable[str]) -> Tuple[List[str], Dict[str, List[str]]]:
"""
Split requested fields into:
- scalars: ["label", "name"]
- collections: {"updates": ["id", "timestamp","content"], "owner": ["label"]}
Any dotted token "root.rest.of.path" becomes collections[root].append("rest.of.path").
Bare tokens ("foo") land in scalars.
"""
scalars: List[str] = []
groups: Dict[str, List[str]] = {}
for raw in fields:
f = str(raw).strip()
if not f:
continue
# bare token -> scalar
if "." not in f:
scalars.append(f)
continue
# dotted token -> group under root
root, tail = f.split(".", 1)
if not root or not tail:
continue
groups.setdefault(root, []).append(tail)
return scalars, groups
def _deep_get_loaded(obj: Any, dotted: str) -> Any:
"""
Deep get with no lazy loads:
- For all but the final hop, use _safe_get_loaded_attr (mapped-only, no getattr).
- For the final hop, try _safe_get_loaded_attr first; if None, fall back to getattr()
to allow computed properties/hybrids that rely on already-loaded columns.
"""
parts = dotted.split(".")
if not parts:
return None
cur = obj
# Traverse up to the parent of the last token safely
for part in parts[:-1]:
if cur is None:
return None
cur = _safe_get_loaded_attr(cur, part)
if cur is None:
return None
last = parts[-1]
# Try safe fetch on the last hop first
val = _safe_get_loaded_attr(cur, last)
if val is not None:
return val
# Fall back to getattr for computed/hybrid attributes on an already-loaded object
try:
return getattr(cur, last, None)
except Exception:
return None
def _serialize_leaf(obj: Any) -> Any:
"""
Lead serialization for values we put into as_dict():
- If object has as_dict(), call as_dict() with no args (caller controls field shapes).
- Else return value as-is (Flask/JSON encoder will handle datetimes, etc., via app config).
"""
if obj is None:
return None
ad = getattr(obj, "as_dict", None)
if callable(ad):
try:
return ad(None)
except Exception:
return str(obj)
return obj
def _serialize_collection(items: Iterable[Any], requested_tails: List[str]) -> List[Dict[str, Any]]:
"""
Turn a collection of ORM objects into list[dict] with exactly requested_tails,
where each tail can be dotted again (e.g., "author.label"). We do NOT lazy-load.
"""
out: List[Dict[str, Any]] = []
# Deduplicate while preserving order
uniq_tails = list(dict.fromkeys(requested_tails))
for child in (items or []):
row: Dict[str, Any] = {}
for tail in uniq_tails:
row[tail] = _deep_get_loaded(child, tail)
# ensure id present if exists and not already requested
try:
if "id" not in row and hasattr(child, "id"):
row["id"] = getattr(child, "id")
except Exception:
pass
out.append(row)
return out
@declarative_mixin
class CRUDMixin:
id = Column(Integer, primary_key=True)
created_at = Column(DateTime, default=func.now(), nullable=False)
updated_at = Column(DateTime, default=func.now(), nullable=False, onupdate=func.now())
def as_dict(self, fields: list[str] | None = None):
"""
Serialize the instance.
Behavior:
- If 'fields' (possibly dotted) is provided, emit exactly those keys.
* Bare tokens (e.g., "label", "owner") return the current loaded value.
* Dotted tokens for one-to-many (e.g., "updates.id","updates.timestamp")
produce a single "updates" key containing a list of dicts with the requested child keys.
* Dotted tokens for many-to-one/one-to-one (e.g., "owner.label") emit the scalar under "owner.label".
- Else, if '__crudkit_projection__' is set on the instance, use that.
- Else, fall back to all mapped columns on this class hierarchy.
Always includes 'id' when present unless explicitly excluded (i.e., fields explicitly provided without id).
"""
req = fields if fields is not None else getattr(self, "__crudkit_projection__", None)
if req:
# Normalize and split into (scalars, groups of dotted by root)
req_list = [p for p in (str(x).strip() for x in req) if p]
scalars, groups = _split_field_tokens(req_list)
out: Dict[str, Any] = {}
# Always include id unless user explicitly listed fields and included id already
if "id" not in req_list and hasattr(self, "id"):
try:
out["id"] = getattr(self, "id")
except Exception:
pass
for name in scalars:
# Try loaded value first (never lazy-load)
val = _safe_get_loaded_attr(self, name)
# if still None, allow a final-hop getattr for root scalars
# so hybrids / @property can compute (they won't traverse relationships).
if val is None:
try:
val = getattr(self, name)
except Exception:
val = None
# If it's a collection and no subfields were requested, emit a light list
if isinstance(val, (list, tuple)):
out[name] = [_serialize_leaf(v) for v in val]
else:
out[name] = val
# Handle dotted groups: root -> [tails]
for root, tails in groups.items():
root_val = _safe_get_loaded_attr(self, root)
if isinstance(root_val, (list, tuple)):
# one-to-many collection
out[root] = _serialize_collection(root_val, tails)
else:
# many-to-one or scalar dotted; place each full dotted path as key
for tail in tails:
dotted = f"{root}.{tail}"
out[dotted] = _deep_get_loaded(self, dotted)
return out
# Fallback: all mapped columns on this class hierarchy
result: Dict[str, Any] = {}
for cls in self.__class__.__mro__:
if hasattr(cls, "__table__"):
for column in cls.__table__.columns:
name = column.name
try:
result[name] = getattr(self, name)
except Exception:
result[name] = None
return result
class Version(Base):
__tablename__ = "versions"
id = Column(Integer, primary_key=True)
model_name = Column(String, nullable=False)
object_id = Column(Integer, nullable=False)
change_type = Column(String, nullable=False)
data = Column(JSON, nullable=True)
timestamp = Column(DateTime, default=func.now())
actor = Column(String, nullable=True)
meta = Column('metadata', JSON, nullable=True)