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No commits in common. "244f0945bbe125bd819fba18c8c2846b6cdba29b" and "cab35b72ec3c3c91b4cc5dbc3a0b1a632a15f596" have entirely different histories.

6 changed files with 200 additions and 240 deletions

2
.gitignore vendored
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@ -3,7 +3,7 @@ inventory/static/uploads/*
!inventory/static/uploads/.gitkeep !inventory/static/uploads/.gitkeep
.venv/ .venv/
.env .env
*.db* *.db
*.db-journal *.db-journal
*.sqlite *.sqlite
*.sqlite3 *.sqlite3

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@ -1,8 +0,0 @@
# crudkit/core/__init__.py
from .utils import (
ISO_DT_FORMATS,
normalize_payload,
deep_diff,
diff_to_patch,
filter_to_columns,
)

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@ -10,7 +10,6 @@ from sqlalchemy.orm.attributes import InstrumentedAttribute
from sqlalchemy.sql import operators from sqlalchemy.sql import operators
from sqlalchemy.sql.elements import UnaryExpression, ColumnElement from sqlalchemy.sql.elements import UnaryExpression, ColumnElement
from crudkit.core import deep_diff, diff_to_patch, filter_to_columns, normalize_payload
from crudkit.core.base import Version from crudkit.core.base import Version
from crudkit.core.spec import CRUDSpec from crudkit.core.spec import CRUDSpec
from crudkit.core.types import OrderSpec, SeekWindow from crudkit.core.types import OrderSpec, SeekWindow
@ -662,57 +661,15 @@ class CRUDService(Generic[T]):
obj = session.get(self.model, id) obj = session.get(self.model, id)
if not obj: if not obj:
raise ValueError(f"{self.model.__name__} with ID {id} not found.") raise ValueError(f"{self.model.__name__} with ID {id} not found.")
valid_fields = {c.name for c in self.model.__table__.columns}
before = obj.as_dict() unknown = set(data) - valid_fields
if unknown:
# Normalize and restrict payload to real columns raise ValueError(f"Unknown fields: {', '.join(sorted(unknown))}")
norm = normalize_payload(data, self.model) for k, v in data.items():
incoming = filter_to_columns(norm, self.model) if k in valid_fields:
# Build a synthetic "desired" state for top-level columns
desired = {**before, **incoming}
# Compute intended change set (before vs intended)
proposed = deep_diff(
before, desired,
ignore_keys={"id", "created_at", "updated_at"},
list_mode="index",
)
patch = diff_to_patch(proposed)
# Nothing to do
if not patch:
return obj
# Apply only what actually changes
for k, v in patch.items():
setattr(obj, k, v) setattr(obj, k, v)
# Optional: skip commit if ORM says no real change (paranoid check)
# Note: is_modified can lie if attrs are expired; use history for certainty.
dirty = any(inspect(obj).attrs[k].history.has_changes() for k in patch.keys())
if not dirty:
return obj
# Commit atomically
session.commit() session.commit()
self._log_version("update", obj, actor)
# AFTER snapshot for audit
after = obj.as_dict()
# Actual diff (captures triggers/defaults, still ignoring noisy keys)
actual = deep_diff(
before, after,
ignore_keys={"id", "created_at", "updated_at"},
list_mode="index",
)
# If truly nothing changed post-commit (rare), skip version spam
if not (actual["added"] or actual["removed"] or actual["changed"]):
return obj
# Log both what we *intended* and what *actually* happened
self._log_version("update", obj, actor, metadata={"diff": actual, "patch": patch})
return obj return obj
def delete(self, id: int, hard: bool = False, actor = None): def delete(self, id: int, hard: bool = False, actor = None):
@ -731,19 +688,17 @@ class CRUDService(Generic[T]):
def _log_version(self, change_type: str, obj: T, actor=None, metadata: dict | None = None): def _log_version(self, change_type: str, obj: T, actor=None, metadata: dict | None = None):
session = self.session session = self.session
snapshot = {}
try: try:
snapshot = obj.as_dict() data = obj.as_dict()
except Exception: except Exception:
snapshot = {"error": "serialize failed"} data = {"error": "Failed to serialize object."}
version = Version( version = Version(
model_name=self.model.__name__, model_name=self.model.__name__,
object_id=obj.id, object_id=obj.id,
change_type=change_type, change_type=change_type,
data=snapshot, data=data,
actor=str(actor) if actor else None, actor=str(actor) if actor else None,
meta=metadata or None, meta=metadata
) )
session.add(version) session.add(version)
session.commit() session.commit()

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@ -1,148 +0,0 @@
from __future__ import annotations
from datetime import datetime, date
from typing import Any, Dict, Optional, Callable
from sqlalchemy import inspect
ISO_DT_FORMATS = ("%Y-%m-%dT%H:%M:%S.%f",
"%Y-%m-%dT%H:%M:%S",
"%Y-%m-%d %H:%M",
"%Y-%m-%d")
def filter_to_columns(data: dict, model_cls):
cols = {c.key for c in inspect(model_cls).mapper.columns}
return {k: v for k, v in data.items() if k in cols}
def _parse_dt_maybe(x: Any) -> Any:
if isinstance(x, (datetime, date)):
return x
if isinstance(x, str):
s = x.strip().replace("Z", "+00:00") # tolerate Zulu
for fmt in ISO_DT_FORMATS:
try:
return datetime.strptime(s, fmt)
except ValueError:
pass
try:
return datetime.fromisoformat(s)
except Exception:
return x
return x
def _normalize_for_compare(x: Any) -> Any:
if isinstance(x, (str, datetime, date)):
return _parse_dt_maybe(x)
return x
def deep_diff(
old: Any,
new: Any,
*,
path: str = "",
ignore_keys: Optional[set] = None,
list_mode: str = "index", # "index" or "set"
custom_equal: Optional[Callable[[str, Any, Any], bool]] = None,
) -> Dict[str, Dict[str, Any]]:
if ignore_keys is None:
ignore_keys = set()
out: Dict[str, Dict[str, Any]] = {"added": {}, "removed": {}, "changed": {}}
def mark_changed(p, a, b):
out["changed"][p] = {"from": a, "to": b}
def rec(o, n, pfx):
if custom_equal and custom_equal(pfx.rstrip("."), o, n):
return
if isinstance(o, dict) and isinstance(n, dict):
o_keys = set(o.keys())
n_keys = set(n.keys())
for k in sorted(o_keys - n_keys):
if k not in ignore_keys:
out["removed"][f"{pfx}{k}"] = o[k]
for k in sorted(n_keys - o_keys):
if k not in ignore_keys:
out["added"][f"{pfx}{k}"] = n[k]
for k in sorted(o_keys & n_keys):
if k not in ignore_keys:
rec(o[k], n[k], f"{pfx}{k}.")
return
if isinstance(o, list) and isinstance(n, list):
if list_mode == "set":
if set(o) != set(n):
mark_changed(pfx.rstrip("."), o, n)
else:
max_len = max(len(o), len(n))
for i in range(max_len):
key = f"{pfx}[{i}]"
if i >= len(o):
out["added"][key] = n[i]
elif i >= len(n):
out["removed"][key] = o[i]
else:
rec(o[i], n[i], f"{key}.")
return
a = _normalize_for_compare(o)
b = _normalize_for_compare(n)
if a != b:
mark_changed(pfx.rstrip("."), o, n)
rec(old, new, path)
return out
def diff_to_patch(diff: Dict[str, Dict[str, Any]]) -> Dict[str, Any]:
"""
Produce a shallow patch of changed/added top-level fields.
Only includes leaf paths without dots/brackets; useful for simple UPDATEs.
"""
patch: Dict[str, Any] = {}
for k, v in diff["added"].items():
if "." not in k and "[" not in k:
patch[k] = v
for k, v in diff["changed"].items():
if "." not in k and "[" not in k:
patch[k] = v["to"]
return patch
def normalize_payload(payload: dict, model):
"""
Coerce incoming JSON into SQLAlchemy column types for the given model.
- "" or None -> None
- Integer/Boolean/Date/DateTime handled by column type
"""
from sqlalchemy import Integer, Boolean, DateTime, Date
out: Dict[str, Any] = {}
mapper = inspect(model).mapper
cols = {c.key: c.type for c in mapper.columns}
for field, value in payload.items():
if value == "" or value is None:
out[field] = None
continue
coltype = cols.get(field)
if coltype is None:
out[field] = value
continue
tname = coltype.__class__.__name__.lower()
if "integer" in tname:
out[field] = int(value)
elif "boolean" in tname:
out[field] = value if isinstance(value, bool) else str(value).lower() in ("1", "true", "yes", "on")
elif "datetime" in tname:
out[field] = value if isinstance(value, datetime) else _parse_dt_maybe(value)
elif "date" in tname:
v = _parse_dt_maybe(value)
out[field] = v.date() if isinstance(v, datetime) else v
else:
out[field] = value
return out

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@ -5,10 +5,169 @@ from typing import Any, Dict, List, Tuple, Callable, Optional
import crudkit import crudkit
from crudkit.ui.fragments import render_form from crudkit.ui.fragments import render_form
from crudkit.core import normalize_payload
ISO_DT_FORMATS = ("%Y-%m-%dT%H:%M:%S.%f", "%Y-%m-%dT%H:%M:%S", "%Y-%m-%d %H:%M", "%Y-%m-%d")
bp_entry = Blueprint("entry", __name__) bp_entry = Blueprint("entry", __name__)
def filter_to_columns(data: dict, model_cls):
cols = {c.key for c in inspect(model_cls).mapper.columns}
return {k: v for k, v in data.items() if k in cols}
def _parse_dt_maybe(x: Any) -> Any:
if isinstance(x, datetime):
return x
if isinstance(x, str):
s = x.strip()
for fmt in ISO_DT_FORMATS:
try:
return datetime.strptime(s, fmt)
except ValueError:
pass
try:
return datetime.fromisoformat(s)
except Exception:
return x
return x
def _normalize_for_compare(x: Any) -> Any:
if isinstance(x, (str, datetime)):
return _parse_dt_maybe(x)
return x
def deep_diff(
old: Any,
new: Any,
*,
path: str = "",
ignore_keys: Optional[set] = None,
list_mode: str = "index", # "index" or "set"
custom_equal: Optional[Callable[[str, Any, Any], bool]] = None,
) -> Dict[str, Dict[str, Any]]:
"""
Returns {'added': {...}, 'removed': {...}, 'changed': {...}}
Paths use dot notation for dicts and [i] for lists.
"""
if ignore_keys is None:
ignore_keys = set()
out: Dict[str, Dict[str, Any]] = {"added": {}, "removed": {}, "changed": {}}
def mark_changed(p, a, b):
out["changed"][p] = {"from": a, "to": b}
def rec(o, n, pfx):
# custom equality short-circuit
if custom_equal and custom_equal(pfx.rstrip("."), o, n):
return
# Dict vs Dict
if isinstance(o, dict) and isinstance(n, dict):
o_keys = set(o.keys())
n_keys = set(n.keys())
# removed
for k in sorted(o_keys - n_keys):
if k in ignore_keys:
continue
out["removed"][f"{pfx}{k}"] = o[k]
# added
for k in sorted(n_keys - o_keys):
if k in ignore_keys:
continue
out["added"][f"{pfx}{k}"] = n[k]
# present in both -> recurse
for k in sorted(o_keys & n_keys):
if k in ignore_keys:
continue
rec(o[k], n[k], f"{pfx}{k}.")
return
# List vs List
if isinstance(o, list) and isinstance(n, list):
if list_mode == "set":
if set(o) != set(n):
mark_changed(pfx.rstrip("."), o, n)
else:
max_len = max(len(o), len(n))
for i in range(max_len):
key = f"{pfx}[{i}]"
if i >= len(o):
out["added"][key] = n[i]
elif i >= len(n):
out["removed"][key] = o[i]
else:
rec(o[i], n[i], f"{key}.")
return
# Scalars or type mismatch
a = _normalize_for_compare(o)
b = _normalize_for_compare(n)
if a != b:
mark_changed(pfx.rstrip("."), o, n)
rec(old, new, path)
return out
def diff_to_patch(diff: Dict[str, Dict[str, Any]]) -> Dict[str, Any]:
"""
Produce a shallow patch of changed/added top-level fields.
Onky includes leaf paths without dots/brackets; useful for simple UPDATEs.
"""
patch = {}
for k, v in diff["added"].items():
if "." not in k and "[" not in k:
patch[k] = v
for k, v in diff["changed"].items():
if "." not in k and "[" not in k:
patch[k] = v["to"]
return patch
def normalize_payload(payload: dict, model):
"""
Take raw JSON dict from frontend and coerce valies
into types expected by the SQLAlchemy model.
"""
out = {}
for field, value in payload.items():
if value == "" or value is None:
out[field] = None
continue
# Look up the SQLAlchemy column type if available
col = getattr(model, field, None)
coltype = getattr(col, "type", None)
if coltype is not None:
tname = coltype.__class__.__name__.lower()
if "integer" in tname:
out[field] = int(value)
elif "boolean" in tname:
# frontend may send true/false already,
# or string "true"/"false"
if isinstance(value, bool):
out[field] = value
else:
out[field] = str(value).lower() in ("1", "true", "yes", "on")
elif "datetime" in tname:
out[field] = (
value if isinstance(value, datetime)
else datetime.fromisoformat(value)
)
else:
out[field] = value
else:
out[field] = value
return out
def init_entry_routes(app): def init_entry_routes(app):
@bp_entry.get("/entry/<model>/<int:id>") @bp_entry.get("/entry/<model>/<int:id>")
@ -197,7 +356,11 @@ def init_entry_routes(app):
raise TypeError("Invalid model.") raise TypeError("Invalid model.")
service = crudkit.crud.get_service(cls) service = crudkit.crud.get_service(cls)
service.update(id, data=payload, actor="update_entry") item = service.get(id, params)
d = deep_diff(item.as_dict(), payload, ignore_keys={"id", "created_at", "updated_at"})
patch = diff_to_patch(d)
clean_patch = filter_to_columns(patch, cls)
print(f"OLD = {item.as_dict()}\n\nNEW = {payload}\n\nDIFF = {d}\n\nPATCH = {patch}\n\nCLEAN PATCH = {clean_patch}")
return {"status": "success", "payload": payload} return {"status": "success", "payload": payload}
except Exception as e: except Exception as e:

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@ -31,8 +31,6 @@ def init_index_routes(app):
"limit": 0 "limit": 0
}) })
rows = [item.as_dict() for item in inventory_report_rows] rows = [item.as_dict() for item in inventory_report_rows]
chart_data = {}
if rows:
df = pd.DataFrame(rows) df = pd.DataFrame(rows)
xtab = pd.crosstab(df["condition"], df["device_type.description"]).astype(int) xtab = pd.crosstab(df["condition"], df["device_type.description"]).astype(int)