fix too long fk names

docs/models/methods.md

@@ -10,6 +10,13 @@ Each model instance have a set of methods to `save`, `update` or `load` itself.
 
 Available methods are described below.
 
+## `pydantic` methods
+
+Note that each `ormar.Model` is also a `pydantic.BaseModel`, so all `pydantic` methods are also available on a model,
+especially `dict()` and `json()` methods that can also accept `exclude`, `include` and other parameters.
+
+To read more check [pydantic][pydantic] documentation
+
 ## load
 
 By default when you query a table without prefetching related models, the ormar will still construct
@@ -127,7 +134,7 @@ await track.delete() # will delete the model from database
 
 ## save_related
 
-`save_related(follow: bool = False) -> None`
+`save_related(follow: bool = False, save_all: bool = False, exclude=Optional[Union[Set, Dict]]) -> None`
 
 Method goes through all relations of the `Model` on which the method is called, 
 and calls `upsert()` method on each model that is **not** saved. 
@@ -138,17 +145,28 @@ By default the `save_related` method saved only models that are directly related
 
 But you can specify the `follow=True` parameter to traverse through nested models and save all of them in the relation tree.
 
+By default save_related saves only model that has not `saved` status, meaning that they were modified in current scope.
+
+If you want to force saving all of the related methods use `save_all=True` flag, which will upsert all related models, regardless of their save status.
+
+If you want to skip saving some of the relations you can pass `exclude` parameter. 
+
+`Exclude` can be a set of own model relations,
+or it can be a dictionary that can also contain nested items. 
+
+!!!note
+        Note that `exclude` parameter in `save_related` accepts only relation fields names, so
+        if you pass any other fields they will be saved anyway
+
+!!!note
+        To read more about the structure of possible values passed to `exclude` check `Queryset.fields` method documentation.
+
 !!!warning
     To avoid circular updates with `follow=True` set, `save_related` keeps a set of already visited Models, 
     and won't perform nested `save_related` on Models that were already visited.
     
     So if you have a diamond or circular relations types you need to perform the updates in a manual way.
 
-    ```python
-    # in example like this the second Street (coming from City) won't be save_related, so ZipCode won't be updated
-    Street -> District -> City -> Street -> ZipCode
-    ```
-
 [fields]: ../fields.md
 [relations]: ../relations/index.md
 [queries]: ../queries/index.md

docs/releases.md

@@ -1,6 +1,6 @@
 # 0.10.2
 
-## Features
+## ✨ Features
 
 * `Model.save_related(follow=False)` now accept also two additional arguments: `Model.save_related(follow=False, save_all=False, exclude=None)`.
   *  `save_all:bool` -> By default (so with `save_all=False`) `ormar` only upserts models that are not saved (so new or updated ones), 
@@ -19,7 +19,7 @@
 *  Same thing applies to `QuerysetProxy.update(each=False, **kwargs)` which also previously required that you either pass a `filter` (by `**kwargs` or as a separate `filter()` call) or set `each=True` now also accepts
     `exclude()` calls that generates NOT filter. So either `each=True` needs to be set to update whole table or at least one of `filter/exclude` clauses.
 
-## Fixes
+## 🐛 Fixes
 
 *  Fix improper relation field resolution in `QuerysetProxy` if fk column has different database alias.
 *  Fix hitting recursion error with very complicated models structure with loops when calling `dict()`.
@@ -28,7 +28,7 @@
 *  Fix bug when bulk_create would try to save also `property_field` decorated methods and `pydantic` fields
 *  Fix wrong merging of deeply nested chain of reversed relations
 
-## Other
+## 💬 Other
 
 *  Performance optimizations
 *  Split tests into packages based on tested area

tests/test_queries/test_nested_reverse_relations.py

@@ -20,36 +20,30 @@ class DataSource(ormar.Model):
     class Meta(BaseMeta):
         tablename = "datasources"
 
-    source_id: int = ormar.Integer(primary_key=True)
+    id: int = ormar.Integer(primary_key=True)
     name: str = ormar.String(max_length=200, unique=True, index=True)
 
 
 class DataSourceTable(ormar.Model):
     class Meta(BaseMeta):
-        tablename = "datasource_tables"
+        tablename = "tables"
 
-    datasource_table_id: int = ormar.Integer(primary_key=True)
+    id: int = ormar.Integer(primary_key=True)
     name: str = ormar.String(max_length=200, index=True)
-    data_source: Optional[DataSource] = ormar.ForeignKey(
-        DataSource,
-        name="data_source_id",
-        related_name="datasource_tables",
-        ondelete="CASCADE",
+    source: Optional[DataSource] = ormar.ForeignKey(
+        DataSource, name="source_id", related_name="tables", ondelete="CASCADE",
     )
 
 
 class DataSourceTableColumn(ormar.Model):
     class Meta(BaseMeta):
-        tablename = "datasource_table_columns"
+        tablename = "columns"
 
-    datasource_table_column_id: int = ormar.Integer(primary_key=True)
+    id: int = ormar.Integer(primary_key=True)
     name: str = ormar.String(max_length=200, index=True)
     data_type: str = ormar.String(max_length=200)
-    datasource_table: Optional[DataSourceTable] = ormar.ForeignKey(
-        DataSourceTable,
-        name="datasource_table_id",
-        related_name="datasource_table_columns",
-        ondelete="CASCADE",
+    table: Optional[DataSourceTable] = ormar.ForeignKey(
+        DataSourceTable, name="table_id", related_name="columns", ondelete="CASCADE",
     )
 
 
@@ -69,7 +63,7 @@ async def test_double_nested_reverse_relation():
         test_tables = [
             {
                 "name": "test1",
-                "datasource_table_columns": [
+                "columns": [
                     {"name": "col1", "data_type": "test"},
                     {"name": "col2", "data_type": "test2"},
                     {"name": "col3", "data_type": "test3"},
@@ -77,14 +71,14 @@ async def test_double_nested_reverse_relation():
             },
             {
                 "name": "test2",
-                "datasource_table_columns": [
+                "columns": [
                     {"name": "col4", "data_type": "test"},
                     {"name": "col5", "data_type": "test2"},
                     {"name": "col6", "data_type": "test3"},
                 ],
             },
         ]
-        data_source.datasource_tables = test_tables
+        data_source.tables = test_tables
         await data_source.save_related(save_all=True, follow=True)
 
         tables = await DataSourceTable.objects.all()
@@ -94,24 +88,14 @@ async def test_double_nested_reverse_relation():
         assert len(columns) == 6
 
         data_source = (
-            await DataSource.objects.select_related(
-                "datasource_tables__datasource_table_columns"
-            )
-            .filter(datasource_tables__name__in=["test1", "test2"], name="local")
+            await DataSource.objects.select_related("tables__columns")
+            .filter(tables__name__in=["test1", "test2"], name="local")
             .get()
         )
-        assert len(data_source.datasource_tables) == 2
-        assert len(data_source.datasource_tables[0].datasource_table_columns) == 3
-        assert (
-            data_source.datasource_tables[0].datasource_table_columns[0].name == "col1"
-        )
-        assert (
-            data_source.datasource_tables[0].datasource_table_columns[2].name == "col3"
-        )
-        assert len(data_source.datasource_tables[1].datasource_table_columns) == 3
-        assert (
-            data_source.datasource_tables[1].datasource_table_columns[0].name == "col4"
-        )
-        assert (
-            data_source.datasource_tables[1].datasource_table_columns[2].name == "col6"
-        )
+        assert len(data_source.tables) == 2
+        assert len(data_source.tables[0].columns) == 3
+        assert data_source.tables[0].columns[0].name == "col1"
+        assert data_source.tables[0].columns[2].name == "col3"
+        assert len(data_source.tables[1].columns) == 3
+        assert data_source.tables[1].columns[0].name == "col4"
+        assert data_source.tables[1].columns[2].name == "col6"

tests/test_queries/test_reverse_fk_queryset.py

@@ -18,7 +18,7 @@ class Album(ormar.Model):
         metadata = metadata
         database = database
 
-    id: int = ormar.Integer(primary_key=True)
+    id: int = ormar.Integer(primary_key=True, name="album_id")
     name: str = ormar.String(max_length=100)
     is_best_seller: bool = ormar.Boolean(default=False)
 
@@ -29,7 +29,7 @@ class Writer(ormar.Model):
         metadata = metadata
         database = database
 
-    id: int = ormar.Integer(primary_key=True)
+    id: int = ormar.Integer(primary_key=True, name="writer_id")
     name: str = ormar.String(max_length=100)
 
 
@@ -40,11 +40,11 @@ class Track(ormar.Model):
         database = database
 
     id: int = ormar.Integer(primary_key=True)
-    album: Optional[Album] = ormar.ForeignKey(Album)
+    album: Optional[Album] = ormar.ForeignKey(Album, name="album_id")
     title: str = ormar.String(max_length=100)
     position: int = ormar.Integer()
     play_count: int = ormar.Integer(nullable=True)
-    written_by: Optional[Writer] = ormar.ForeignKey(Writer)
+    written_by: Optional[Writer] = ormar.ForeignKey(Writer, name="writer_id")
 
 
 async def get_sample_data():