renames diffsync.DiffSync to diffsync.Adapter

.github/workflows/ci.yml

@@ -130,16 +130,18 @@ jobs:
       fail-fast: true
       matrix:
         python-version: ["3.7", "3.8", "3.9", "3.10"]
+        poetry-version: ["1.5.1"]
     runs-on: "ubuntu-20.04"
     env:
       PYTHON_VER: "${{ matrix.python-version }}"
     steps:
       - name: "Check out repository code"
         uses: "actions/checkout@v2"
       - name: "Setup environment"
-        uses: "networktocode/gh-action-setup-poetry-environment@v5"
+        uses: "networktocode/gh-action-setup-poetry-environment@3ea5d3ecf382cdcb0c74d4c0ff0629d95fce63c7"
         with:
           python-version: "${{ matrix.python-version }}"
+          poetry-version: "${{ matrix.poetry-version }}"
       - name: "Install redis"
         run: "sudo apt-get install -y redis"
       - name: "Run poetry Install"

Dockerfile

@@ -8,7 +8,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
   && rm -rf /var/lib/apt/lists/*
 
 RUN pip install --upgrade pip \
-  && pip install poetry
+  && pip install poetry==1.5.1
 
 
 WORKDIR /local

README.md

@@ -15,7 +15,7 @@ DiffSync is at its most useful when you have multiple sources or sets of data to
 
 # Overview of DiffSync
 
-DiffSync acts as an intermediate translation layer between all of the data sets you are diffing and/or syncing. In practical terms, this means that to use DiffSync, you will define a set of data models as well as the “adapters” needed to translate between each base data source and the data model. In Python terms, the adapters will be subclasses of the `DiffSync` class, and each data model class will be a subclass of the `DiffSyncModel` class.
+DiffSync acts as an intermediate translation layer between all of the data sets you are diffing and/or syncing. In practical terms, this means that to use DiffSync, you will define a set of data models as well as the “adapters” needed to translate between each base data source and the data model. In Python terms, the adapters will be subclasses of the `Adapter` class, and each data model class will be a subclass of the `DiffSyncModel` class.
 
 ![Diffsync Components](https://raw.githubusercontent.com/networktocode/diffsync/develop/docs/images/diffsync_components.png "Diffsync Components")
 

diffsync/__init__.py

@@ -91,7 +91,7 @@ class DiffSyncModel(BaseModel):
     Can be set as a class attribute or an instance attribute as needed.
     """
 
-    diffsync: Optional["DiffSync"] = None
+    diffsync: Optional["Adapter"] = None
     """Optional: the DiffSync instance that owns this model instance."""
 
     _status: DiffSyncStatus = PrivateAttr(DiffSyncStatus.SUCCESS)
@@ -183,7 +183,7 @@ def set_status(self, status: DiffSyncStatus, message: StrType = "") -> None:
         self._status_message = message
 
     @classmethod
-    def create_base(cls, diffsync: "DiffSync", ids: Dict, attrs: Dict) -> Optional[Self]:
+    def create_base(cls, diffsync: "Adapter", ids: Dict, attrs: Dict) -> Optional[Self]:
         """Instantiate this class, along with any platform-specific data creation.
 
         This method is not meant to be subclassed, users should redefine create() instead.
@@ -201,7 +201,7 @@ def create_base(cls, diffsync: "DiffSync", ids: Dict, attrs: Dict) -> Optional[S
         return model
 
     @classmethod
-    def create(cls, diffsync: "DiffSync", ids: Dict, attrs: Dict) -> Optional[Self]:
+    def create(cls, diffsync: "Adapter", ids: Dict, attrs: Dict) -> Optional[Self]:
         """Instantiate this class, along with any platform-specific data creation.
 
         Subclasses must call `super().create()` or `self.create_base()`; they may wish to then override the default status information
@@ -402,7 +402,7 @@ def remove_child(self, child: "DiffSyncModel") -> None:
         childs.remove(child.get_unique_id())
 
 
-class DiffSync:  # pylint: disable=too-many-public-methods
+class Adapter:  # pylint: disable=too-many-public-methods
     """Class for storing a group of DiffSyncModel instances and diffing/synchronizing to another DiffSync instance."""
 
     # In any subclass, you would add mapping of names to specific model classes here:
@@ -535,7 +535,7 @@ def load_from_dict(self, data: Dict) -> None:
 
     def sync_from(  # pylint: disable=too-many-arguments
         self,
-        source: "DiffSync",
+        source: "Adapter",
         diff_class: Type[Diff] = Diff,
         flags: DiffSyncFlags = DiffSyncFlags.NONE,
         callback: Optional[Callable[[StrType, int, int], None]] = None,
@@ -573,7 +573,7 @@ def sync_from(  # pylint: disable=too-many-arguments
 
     def sync_to(  # pylint: disable=too-many-arguments
         self,
-        target: "DiffSync",
+        target: "Adapter",
         diff_class: Type[Diff] = Diff,
         flags: DiffSyncFlags = DiffSyncFlags.NONE,
         callback: Optional[Callable[[StrType, int, int], None]] = None,
@@ -597,7 +597,7 @@ def sync_to(  # pylint: disable=too-many-arguments
 
     def sync_complete(
         self,
-        source: "DiffSync",
+        source: "Adapter",
         diff: Diff,
         flags: DiffSyncFlags = DiffSyncFlags.NONE,
         logger: Optional[structlog.BoundLogger] = None,
@@ -623,7 +623,7 @@ def sync_complete(
 
     def diff_from(
         self,
-        source: "DiffSync",
+        source: "Adapter",
         diff_class: Type[Diff] = Diff,
         flags: DiffSyncFlags = DiffSyncFlags.NONE,
         callback: Optional[Callable[[StrType, int, int], None]] = None,
@@ -644,7 +644,7 @@ def diff_from(
 
     def diff_to(
         self,
-        target: "DiffSync",
+        target: "Adapter",
         diff_class: Type[Diff] = Diff,
         flags: DiffSyncFlags = DiffSyncFlags.NONE,
         callback: Optional[Callable[[StrType, int, int], None]] = None,
@@ -854,5 +854,8 @@ def count(self, model: Union[StrType, "DiffSyncModel", Type["DiffSyncModel"], No
         return self.store.count(model=model)
 
 
+# For backwards-compatibility, keep around the old name
+DiffSync = Adapter
+
 # DiffSyncModel references DiffSync and DiffSync references DiffSyncModel. Break the typing loop:
 DiffSyncModel.update_forward_refs()

diffsync/helpers.py

@@ -26,7 +26,7 @@
 
 if TYPE_CHECKING:  # pragma: no cover
     # For type annotation purposes, we have a circular import loop between __init__.py and this file.
-    from . import DiffSync, DiffSyncModel  # pylint: disable=cyclic-import
+    from . import Adapter, DiffSyncModel  # pylint: disable=cyclic-import
 
 
 class DiffSyncDiffer:  # pylint: disable=too-many-instance-attributes
@@ -37,8 +37,8 @@ class DiffSyncDiffer:  # pylint: disable=too-many-instance-attributes
 
     def __init__(  # pylint: disable=too-many-arguments
         self,
-        src_diffsync: "DiffSync",
-        dst_diffsync: "DiffSync",
+        src_diffsync: "Adapter",
+        dst_diffsync: "Adapter",
         flags: DiffSyncFlags,
         diff_class: Type[Diff] = Diff,
         callback: Optional[Callable[[str, int, int], None]] = None,
@@ -288,8 +288,8 @@ class DiffSyncSyncer:  # pylint: disable=too-many-instance-attributes
     def __init__(  # pylint: disable=too-many-arguments
         self,
         diff: Diff,
-        src_diffsync: "DiffSync",
-        dst_diffsync: "DiffSync",
+        src_diffsync: "Adapter",
+        dst_diffsync: "Adapter",
         flags: DiffSyncFlags,
         callback: Optional[Callable[[str, int, int], None]] = None,
     ):

diffsync/store/__init__.py

@@ -6,7 +6,7 @@
 
 if TYPE_CHECKING:
     from diffsync import DiffSyncModel
-    from diffsync import DiffSync
+    from diffsync import Adapter
 
 
 class BaseStore:
@@ -15,7 +15,7 @@ class BaseStore:
     def __init__(
         self,  # pylint: disable=unused-argument
         *args: Any,  # pylint: disable=unused-argument
-        diffsync: Optional["DiffSync"] = None,
+        diffsync: Optional["Adapter"] = None,
         name: str = "",
         **kwargs: Any,  # pylint: disable=unused-argument
     ) -> None:

docs/source/core_engine/01-flags.md

@@ -34,12 +34,12 @@ diff = nautobot.diff_from(local, flags=flags)
 Model flags are stored in the attribute `model_flags` of each model and are usually set when the data is being loaded into the adapter.
 
 ```python
-from diffsync import DiffSync
+from diffsync import Adapter
 from diffsync.enum import DiffSyncModelFlags
 from model import MyDeviceModel
 
-class MyAdapter(DiffSync):
 
+class MyAdapter(Adapter):
     device = MyDeviceModel
 
     def load(self, data):

docs/source/core_engine/03-store.md

@@ -2,32 +2,36 @@
 
 By default, `Diffsync` supports a local memory storage. All the loaded models from the adapters will be stored in memory, and become available for the diff calculation and sync process. This default behavior works well when executing all the steps in the same process, having access to the same memory space. However, if you want to scale out the execution of the tasks, running it in different processes or in totally different workers, a more distributed memory support is necessary.
 
-The `store` is a class attribute in the `DiffSync` class, but all the store operations in that class are abstracted in the following methods: `get_all_model_names`, `get`, `get_by_uids`, `add`, `update`, `remove`, `get_or_instantiate`, `update_or_instantiate` and `count`.
+The `store` is a class attribute in the `Adapter` class, but all the store operations in that class are abstracted in the following methods: `get_all_model_names`, `get`, `get_by_uids`, `add`, `update`, `remove`, `get_or_instantiate`, `update_or_instantiate` and `count`.
 
 ## Use the `LocalStore` Backend
 
 When you initialize the `Diffsync` Adapter class, there is an optional keyed-argument, `internal_storage_engine`, defaulting to the `LocalStore` class.
 
 ```python
->>> from diffsync import DiffSync
->>> adapter = DiffSync()
->>> type(adapter.store)
-<class 'diffsync.store.local.LocalStore'>
+>> > from diffsync import Adapter
+>> > adapter = Adapter()
+>> > type(adapter.store)
+<
+
+class 'diffsync.store.local.LocalStore'>
 ```
 
 ## Use the `RedisStore` Backend
 
 To get it, you have to install diffsync package with the "redis" extra option: `pip install diffsync[redis]`
 
-The `RedisStore` backend, as the name suggests, connects to an external Redis service, to store data loaded by the `DiffSync` tasks. The biggest change is that it requires to initialize the Redis store class, before using it in the `DiffSync` adapter class.
+The `RedisStore` backend, as the name suggests, connects to an external Redis service, to store data loaded by the `Adapter` tasks. The biggest change is that it requires to initialize the Redis store class, before using it in the `Adapter` adapter class.
 
 ```python
->>> from diffsync import DiffSync
->>> from diffsync.store.redis import RedisStore
->>> store = RedisStore(host="redis host")
->>> adapter = DiffSync(internal_storage_engine=store)
->>> type(adapter.store)
-<class 'diffsync.store.local.RedisStore'>
+>> > from diffsync import Adapter
+>> > from diffsync.store.redis import RedisStore
+>> > store = RedisStore(host="redis host")
+>> > adapter = Adapter(internal_storage_engine=store)
+>> > type(adapter.store)
+<
+
+class 'diffsync.store.local.RedisStore'>
 ```
 
 Notice that the `RedisStore` will validate, when initialized, that there is a reachability to the Redis host, and if not, will raise an exception:

docs/source/getting_started/01-getting-started.md

@@ -1,5 +1,5 @@
 To be able to properly compare different datasets, DiffSync relies on a shared data model that both systems must use.
-Specifically, each system or dataset must provide a `DiffSync` "adapter" subclass, which in turn represents its dataset as instances of one or more `DiffSyncModel` data model classes.
+Specifically, each system or dataset must provide a `Adapter` "adapter" subclass, which in turn represents its dataset as instances of one or more `DiffSyncModel` data model classes.
 
 When comparing two systems, DiffSync detects the intersection between the two systems (which data models they have in common, and which attributes are shared between each pair of data models) and uses this intersection to compare and/or synchronize the data.
 
@@ -41,24 +41,24 @@ Currently the relationships between models are very loose by design. Instead of
 
 # Define your system adapter with DiffSync
 
-A `DiffSync` "adapter" subclass must reference each model available at the top of the object by its modelname and must have a `top_level` attribute defined to indicate how the diff and the synchronization should be done. In the example below, `"site"` is the only top level object so the synchronization engine will only check all known `Site` instances and all children of each Site. In this case, as shown in the code above, `Device`s are children of `Site`s, so this is exactly the intended logic.
+A `Adapter` "adapter" subclass must reference each model available at the top of the object by its modelname and must have a `top_level` attribute defined to indicate how the diff and the synchronization should be done. In the example below, `"site"` is the only top level object so the synchronization engine will only check all known `Site` instances and all children of each Site. In this case, as shown in the code above, `Device`s are children of `Site`s, so this is exactly the intended logic.
 
 ```python
-from diffsync import DiffSync
+from diffsync import Adapter
 
-class BackendA(DiffSync):
 
+class BackendA(Adapter):
     site = Site
     device = Device
 
     top_level = ["site"]
 ```
 
-It's up to the implementer to populate the `DiffSync`'s internal cache with the appropriate data. In the example below we are using the `load()` method to populate the cache but it's not mandatory, it could be done differently.
+It's up to the implementer to populate the `Adapter`'s internal cache with the appropriate data. In the example below we are using the `load()` method to populate the cache but it's not mandatory, it could be done differently.
 
 ## Model Processing Ordering Logic
 
-The models will be processed in a specfic order as defined by `top_level` atttribute on the `DiffSync` object and then the `_children` attribute on the `DiffSyncModel`. The processing algorithm is technically a "Preorder Tree Traversal", which means that "a parent node is processed before any of its child nodes is done." This can be described as:
+The models will be processed in a specfic order as defined by `top_level` atttribute on the `Adapter` object and then the `_children` attribute on the `DiffSyncModel`. The processing algorithm is technically a "Preorder Tree Traversal", which means that "a parent node is processed before any of its child nodes is done." This can be described as:
 
 - Start with the first element of the first model in `top_level` and process it.
 - If that model has `_children` set on it, for each child of each child model, in order:
@@ -145,7 +145,7 @@ NetworkImporterAdapter
 >>> 
 ```
 
-# Store data in a `DiffSync` object
+# Store data in a `Adapter` object
 
 To add a site to the local cache/store, you need to pass a valid `DiffSyncModel` object to the `add()` function.
 
@@ -174,7 +174,7 @@ convenient to manage individual records (as in a database) or modify the entire
 ## Manage individual records
 
 To update individual records in a remote system, you need to extend your `DiffSyncModel` class(es) to define your own `create`, `update` and/or `delete` methods for each model.
-A `DiffSyncModel` instance stores a reference to its parent `DiffSync` adapter instance in case you need to use it to look up other model instances from the `DiffSync`'s cache.
+A `DiffSyncModel` instance stores a reference to its parent `Adapter` adapter instance in case you need to use it to look up other model instances from the `Adapter`'s cache.
 
 ```python
 class Device(DiffSyncModel):

examples/01-multiple-data-sources/backend_a.py

@@ -16,7 +16,7 @@
 """
 
 # pylint: disable=wrong-import-order
-from diffsync import DiffSync
+from diffsync import Adapter
 from models import Site, Device, Interface  # pylint: disable=no-name-in-module
 
 DATA = {
@@ -31,7 +31,7 @@
 }
 
 
-class BackendA(DiffSync):
+class BackendA(Adapter):
     """Example of a DiffSync adapter implementation."""
 
     site = Site

examples/01-multiple-data-sources/backend_b.py

@@ -16,7 +16,7 @@
 """
 
 # pylint: disable=wrong-import-order
-from diffsync import DiffSync
+from diffsync import Adapter
 from models import Site, Device, Interface  # pylint: disable=no-name-in-module
 
 DATA = {
@@ -35,7 +35,7 @@
 }
 
 
-class BackendB(DiffSync):
+class BackendB(Adapter):
     """Example of a DiffSync adapter implementation."""
 
     site = Site

examples/01-multiple-data-sources/backend_c.py

@@ -16,7 +16,7 @@
 """
 
 # pylint: disable=wrong-import-order
-from diffsync import DiffSync
+from diffsync import Adapter
 from models import Site, Device, Interface  # pylint: disable=no-name-in-module
 
 DATA = {
@@ -31,7 +31,7 @@
 }
 
 
-class BackendC(DiffSync):
+class BackendC(Adapter):
     """Example of a DiffSync adapter implementation."""
 
     site = Site

examples/02-callback-function/main.py

@@ -17,7 +17,7 @@
 """
 import random
 
-from diffsync import DiffSync, DiffSyncModel
+from diffsync import Adapter, DiffSyncModel
 from diffsync.logging import enable_console_logging
 
 
@@ -30,7 +30,7 @@ class Number(DiffSyncModel):
     number: int
 
 
-class DiffSync1(DiffSync):
+class Adapter1(Adapter):
     """DiffSync adapter that contains a number of Numbers constructed in order."""
 
     number = Number
@@ -43,7 +43,7 @@ def load(self, count):  # pylint: disable=arguments-differ
             self.add(Number(number=(i + 1)))
 
 
-class DiffSync2(DiffSync):
+class Adapter2(Adapter):
     """DiffSync adapter that contains a number of Numbers spread randomly across a range."""
 
     number = Number
@@ -69,11 +69,11 @@ def main():
     enable_console_logging(verbosity=0)  # Show WARNING and ERROR logs only
 
     # Create a DiffSync1 instance and load it with records numbered 1-100
-    ds1 = DiffSync1()
+    ds1 = Adapter1()
     ds1.load(count=100)
 
     # Create a DiffSync2 instance and load it with 100 random records in the range 1-200
-    ds2 = DiffSync2()
+    ds2 = Adapter2()
     ds2.load(count=100)
 
     # Identify and attempt to resolve the differences between the two,