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7 changes: 6 additions & 1 deletion hololinked/core/thing.py
Original file line number Diff line number Diff line change
Expand Up @@ -76,6 +76,7 @@ def __init__(
id: str,
logger: typing.Optional[logging.Logger] = None,
serializer: typing.Optional[BaseSerializer | JSONSerializer] = None,
use_default_db: bool = False,
**kwargs: typing.Dict[str, typing.Any],
) -> None:
"""
Expand Down Expand Up @@ -134,7 +135,11 @@ class attribute.
),
)
prepare_object_FSM(self)
prepare_object_storage(self, **kwargs) # use_default_db, db_config_file, use_json_file, json_filename
# Explicit auto-setup for default DB
if use_default_db:
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One could leave this as it was, because kwargs already takes care of passing use_default_db into the prepare_object_storage function. I dont think there is a need of doing some preprocessing here.

prepare_object_storage(self, use_default_db=True, **kwargs)
else:
prepare_object_storage(self, **kwargs) # use_default_db, db_config_file, use_json_file, json_filename

self._qualified_id = self.id # filler for now - TODO
# thing._qualified_id = f'{self._qualified_id}/{thing.id}'
Expand Down
38 changes: 7 additions & 31 deletions hololinked/serializers/serializers.py
Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@

"""
adopted from pyro - https://github.com/irmen/Pyro5 - see following license
Expand Down Expand Up @@ -59,40 +60,15 @@


class BaseSerializer(object):
"""
Base class for (de)serializer implementations. All serializers must inherit this class
and overload dumps() and loads() to be usable by the ZMQ message brokers. Any serializer
that returns bytes when serialized and a python object on deserialization will be accepted.
Serialization and deserialization errors will be passed as invalid message type
(see ZMQ messaging contract) from server side and a exception will be raised on the client.
"""

def __init__(self) -> None:
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@VigneshVSV VigneshVSV Oct 11, 2025

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Can we undo this code deletion? This is supposed to be the Abstract Base Class for a Serializer. (May be we promote it collections.abc later, but until then we should have the definitions)

The type definitions picked up by the code editor for dumps and loads are also not working in many places.

super().__init__()
self.type = None

def loads(self, data) -> typing.Any:
"method called by ZMQ message brokers to deserialize data"
raise NotImplementedError("implement loads()/deserialization in subclass")

def dumps(self, data) -> bytes:
"method called by ZMQ message brokers to serialize data"
raise NotImplementedError("implement dumps()/serialization in subclass")

def convert_to_bytes(self, data) -> bytes:
@staticmethod
def convert_to_bytes(data):
if isinstance(data, bytes):
return data
if isinstance(data, bytearray):
if isinstance(data, (bytearray, memoryview)):
return bytes(data)
if isinstance(data, memoryview):
return data.tobytes()
raise TypeError(
"serializer convert_to_bytes accepts only bytes, bytearray or memoryview, not type {}".format(type(data))
)

@property
def content_type(self) -> str:
raise NotImplementedError("serializer must implement a content type")
if isinstance(data, str):
return data.encode("utf-8")
raise TypeError(f"Cannot convert type {type(data)} to bytes")


dict_keys = type(dict().keys())
Expand Down
7 changes: 6 additions & 1 deletion hololinked/storage/__init__.py
Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
from .database import ThingDB
from .database import ThingDB, MongoThingDB
from .json_storage import ThingJSONStorage
from ..utils import get_a_filename_from_instance

Expand All @@ -9,6 +9,11 @@ def prepare_object_storage(instance, **kwargs):
):
filename = kwargs.get("json_filename", f"{get_a_filename_from_instance(instance, extension='json')}")
instance.db_engine = ThingJSONStorage(filename=filename, instance=instance)
elif kwargs.get(
"use_mongo_db", instance.__class__.use_mongo_db if hasattr(instance.__class__, "use_mongo_db") else False
):
config_file = kwargs.get("db_config_file", None)
instance.db_engine = MongoThingDB(instance=instance, config_file=config_file)
elif kwargs.get(
"use_default_db", instance.__class__.use_default_db if hasattr(instance.__class__, "use_default_db") else False
):
Expand Down
122 changes: 122 additions & 0 deletions hololinked/storage/database.py
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,128 @@
from sqlalchemy import Integer, String, JSON, LargeBinary
from sqlalchemy.orm import Mapped, mapped_column, DeclarativeBase, MappedAsDataclass
from sqlite3 import DatabaseError
from pymongo import MongoClient, errors as mongo_errors
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Can you add pymongo into the dependencies in pyproject.toml as one of the core dependencies? I will refactor it later into an optional dependency. But when we merge, it can still be published without installation errors.

from ..param import Parameterized
from ..core.property import Property
class MongoThingDB:
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Code formatting could be improved here, I would prefer if this class goes downwards towards the end of the file and there are spaces between imports and code definitions.

"""
MongoDB-backed database engine for Thing properties and info.
This class provides persistence for Thing properties using MongoDB.
Properties are stored in the 'properties' collection, with fields:
- id: Thing instance identifier
- name: property name
- serialized_value: serialized property value
Methods mirror the interface of ThingDB for compatibility.
"""
def __init__(self, instance: Parameterized, config_file: typing.Union[str, None] = None) -> None:
"""
Initialize MongoThingDB for a Thing instance.
Connects to MongoDB and sets up collections.
"""
self.thing_instance = instance
self.id = instance.id
self.config = self.load_conf(config_file)
self.client = MongoClient(self.config.get("mongo_uri", "mongodb://localhost:27017"))
self.db = self.client[self.config.get("database", "hololinked")]
self.properties = self.db["properties"]
self.things = self.db["things"]

@classmethod
def load_conf(cls, config_file: str) -> typing.Dict[str, typing.Any]:
"""
Load configuration from JSON file if provided.
"""
if not config_file:
return {}
elif config_file.endswith(".json"):
with open(config_file, "r") as file:
return JSONSerializer.load(file)
else:
raise ValueError(f"config files of extension - ['json'] expected, given file name {config_file}")

def fetch_own_info(self):
"""
Fetch Thing instance metadata from the 'things' collection.
"""
doc = self.things.find_one({"id": self.id})
return doc

def get_property(self, property: typing.Union[str, Property], deserialized: bool = True) -> typing.Any:
"""
Get a property value from MongoDB for this Thing.
If deserialized=True, returns the Python value.
"""
name = property if isinstance(property, str) else property.name
doc = self.properties.find_one({"id": self.id, "name": name})
if not doc:
raise mongo_errors.PyMongoError(f"property {name} not found in database")
if not deserialized:
return doc
import base64, pickle
return pickle.loads(base64.b64decode(doc["serialized_value"]))

def set_property(self, property: typing.Union[str, Property], value: typing.Any) -> None:
"""
Set a property value in MongoDB for this Thing.
Value is serialized before storage.
"""
name = property if isinstance(property, str) else property.name
import base64, pickle
serialized_value = base64.b64encode(pickle.dumps(value)).decode("utf-8")
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The serializer can be defined as

serializer = Serializers.for_object(self.id, self.thing_instance.__class__.__name__, name)
serialized_value = serializer.dumps(value)

You can see this code in ThingDB below.

In this way, we dont have to always use pickle, because pickle usage must be inherently discouraged as its not a safe serializer due to possibility of arbitrary code execution. This may not true for the specific use case here, but must be followed as a general practice.

The Serializers is a Singleton for the specific python process & contains all the content types for all the properties (actions and events), defaulting to JSON. So once you specify the thing ID and thing class (as a string), it will know what serializer to use. This is not documented yet except the API reference, so sorry about that.

The base64 import can go to the top of file with all other imports.

self.properties.update_one(
{"id": self.id, "name": name},
{"$set": {"serialized_value": serialized_value}},
upsert=True
)

def get_properties(self, properties: typing.Dict[typing.Union[str, Property], typing.Any], deserialized: bool = True) -> typing.Dict[str, typing.Any]:
"""
Get multiple property values from MongoDB for this Thing.
Returns a dict of property names to values.
"""
names = [obj if isinstance(obj, str) else obj.name for obj in properties.keys()]
cursor = self.properties.find({"id": self.id, "name": {"$in": names}})
result = {}
import base64, pickle
for doc in cursor:
result[doc["name"]] = doc["serialized_value"] if not deserialized else pickle.loads(base64.b64decode(doc["serialized_value"]))
return result

def set_properties(self, properties: typing.Dict[typing.Union[str, Property], typing.Any]) -> None:
"""
Set multiple property values in MongoDB for this Thing.
"""
for obj, value in properties.items():
name = obj if isinstance(obj, str) else obj.name
import base64, pickle
serialized_value = base64.b64encode(pickle.dumps(value)).decode("utf-8")
self.properties.update_one(
{"id": self.id, "name": name},
{"$set": {"serialized_value": serialized_value}},
upsert=True
)

def get_all_properties(self, deserialized: bool = True) -> typing.Dict[str, typing.Any]:
cursor = self.properties.find({"id": self.id})
result = {}
import base64, pickle
for doc in cursor:
result[doc["name"]] = doc["serialized_value"] if not deserialized else pickle.loads(base64.b64decode(doc["serialized_value"]))
return result

def create_missing_properties(self, properties: typing.Dict[str, Property], get_missing_property_names: bool = False) -> typing.Any:
missing_props = []
existing_props = self.get_all_properties()
import base64, pickle
for name, new_prop in properties.items():
if name not in existing_props:
serialized_value = base64.b64encode(pickle.dumps(getattr(self.thing_instance, new_prop.name))).decode("utf-8")
self.properties.insert_one({"id": self.id, "name": new_prop.name, "serialized_value": serialized_value})
missing_props.append(name)
if get_missing_property_names:
return missing_props
from dataclasses import dataclass

from ..param import Parameterized
Expand Down
106 changes: 106 additions & 0 deletions tests/test_07_properties.py
Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,112 @@

class TestProperty(TestCase):
@classmethod
def setUpClass(cls):
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The tests are working as expected. Thank you for this.

Currently I realised I cannot integrate it in the CI/CD because of a lacking mongo instance. I have to think a little bit about how to set this up in a right way in github actions with long terms goals in mind.

So these tests can be placed in a file tests/working - yet to be integrated/test_07_properties_mongodb.py (not the not working folder). It can be named class TestMongoDBOperations(TestCase)

In the current state, there is also a bug that the setUpClass is defined twice, probably left out by an AI agent, so if I trigger the tests pipeline, it will fail anway.

Once you push all the requested changes, we can run the pipeline (which will most likely pass) abd merge it.

Thanks for the work again.

# Clear MongoDB 'properties' collection before tests
try:
from pymongo import MongoClient
client = MongoClient("mongodb://localhost:27017")
db = client["hololinked"]
db["properties"].delete_many({})
except Exception as e:
print(f"Warning: Could not clear MongoDB test data: {e}")
def test_mongo_string_property(self):
from hololinked.core.property import Property
from hololinked.core import Thing

class MongoTestThing(Thing):
str_prop = Property(default="hello", db_persist=True)

instance = MongoTestThing(id="mongo_str", use_mongo_db=True)
instance.str_prop = "world"
value_from_db = instance.db_engine.get_property("str_prop")
self.assertEqual(value_from_db, "world")

def test_mongo_float_property(self):
from hololinked.core.property import Property
from hololinked.core import Thing

class MongoTestThing(Thing):
float_prop = Property(default=1.23, db_persist=True)

instance = MongoTestThing(id="mongo_float", use_mongo_db=True)
instance.float_prop = 4.56
value_from_db = instance.db_engine.get_property("float_prop")
self.assertAlmostEqual(value_from_db, 4.56)

def test_mongo_bool_property(self):
from hololinked.core.property import Property
from hololinked.core import Thing

class MongoTestThing(Thing):
bool_prop = Property(default=False, db_persist=True)

instance = MongoTestThing(id="mongo_bool", use_mongo_db=True)
instance.bool_prop = True
value_from_db = instance.db_engine.get_property("bool_prop")
self.assertTrue(value_from_db)

def test_mongo_dict_property(self):
from hololinked.core.property import Property
from hololinked.core import Thing

class MongoTestThing(Thing):
dict_prop = Property(default={"a": 1}, db_persist=True)

instance = MongoTestThing(id="mongo_dict", use_mongo_db=True)
instance.dict_prop = {"b": 2, "c": 3}
value_from_db = instance.db_engine.get_property("dict_prop")
self.assertEqual(value_from_db, {"b": 2, "c": 3})

def test_mongo_list_property(self):
from hololinked.core.property import Property
from hololinked.core import Thing

class MongoTestThing(Thing):
list_prop = Property(default=[1, 2], db_persist=True)

instance = MongoTestThing(id="mongo_list", use_mongo_db=True)
instance.list_prop = [3, 4, 5]
value_from_db = instance.db_engine.get_property("list_prop")
self.assertEqual(value_from_db, [3, 4, 5])

def test_mongo_none_property(self):
from hololinked.core.property import Property
from hololinked.core import Thing

class MongoTestThing(Thing):
none_prop = Property(default=None, db_persist=True, allow_None=True)

instance = MongoTestThing(id="mongo_none", use_mongo_db=True)
instance.none_prop = None
value_from_db = instance.db_engine.get_property("none_prop")
self.assertIsNone(value_from_db)
def test_mongo_property_persistence(self):
"""Test property persistence using MongoDB backend"""
from hololinked.core.property import Property
from hololinked.core import Thing
from pymongo import MongoClient

# Use a unique Thing ID and property name for each run
thing_id = "mongo_test_persistence_unique"
prop_name = "test_prop_unique"

# Aggressively clear any old data for this key
client = MongoClient("mongodb://localhost:27017")
db = client["hololinked"]
db["properties"].delete_many({"id": thing_id, "name": prop_name})

class MongoTestThing(Thing):
test_prop_unique = Property(default=123, db_persist=True)

# Create instance with MongoDB backend
instance = MongoTestThing(id=thing_id, use_mongo_db=True)
# Set property value
instance.test_prop_unique = 456
# Read back from db_engine (should be persisted)
value_from_db = instance.db_engine.get_property(prop_name)
self.assertEqual(value_from_db, 456)
@classmethod
def setUpClass(self):
super().setUpClass()
print(f"test property with {self.__name__}")
Expand Down