Remove default create_dataset method.

Add section in experimental lineage docs.

Signed-off-by: Jakub Dardzinski <[email protected]>

airflow/datasets/__init__.py

@@ -44,11 +44,6 @@ def normalize_noop(parts: SplitResult) -> SplitResult:
     return parts
 
 
-def create_dataset(uri: str) -> Dataset:
-    """Create a dataset object from a dataset URI."""
-    return Dataset(uri=uri)
-
-
 def _get_uri_normalizer(scheme: str) -> Callable[[SplitResult], SplitResult] | None:
     if scheme == "file":
         return normalize_noop

airflow/lineage/hook.py

@@ -21,7 +21,7 @@
 
 import attr
 
-from airflow.datasets import Dataset, create_dataset
+from airflow.datasets import Dataset
 from airflow.hooks.base import BaseHook
 from airflow.io.store import ObjectStore
 from airflow.providers_manager import ProvidersManager
@@ -53,36 +53,61 @@ def __init__(self, **kwargs):
         self.inputs: list[tuple[Dataset, LineageContext]] = []
         self.outputs: list[tuple[Dataset, LineageContext]] = []
 
-    @staticmethod
-    def create_dataset(dataset_kwargs: dict) -> Dataset:
+    def create_dataset(
+        self, scheme: str | None, uri: str | None, dataset_kwargs: dict | None, dataset_extra: dict | None
+    ) -> Dataset | None:
         """Create a Dataset instance from the given dataset kwargs."""
-        if "uri" in dataset_kwargs:
+        if uri:
             # Fallback to default factory using the provided URI
-            return create_dataset(dataset_kwargs["uri"])
+            return Dataset(uri=uri, extra=dataset_extra)
 
-        scheme: str = dataset_kwargs.pop("scheme", None)
+        # scheme: str = dataset_kwargs.pop("scheme", None)
         if not scheme:
-            raise ValueError(
+            self.log.debug(
                 "Missing required parameter: either 'uri' or 'scheme' must be provided to create a Dataset."
             )
+            return None
 
         dataset_factory = ProvidersManager().dataset_factories.get(scheme)
         if not dataset_factory:
-            raise ValueError(
-                f"Unsupported scheme: '{scheme}'. Please provide a valid URI to create a Dataset."
-            )
+            self.log.debug("Unsupported scheme: %s. Please provide a valid URI to create a Dataset.", scheme)
+            return None
 
-        return dataset_factory(**dataset_kwargs)
+        try:
+            return dataset_factory(**(dataset_kwargs or {}), extra=dataset_extra)
+        except Exception as e:
+            self.log.warning("Failed to create dataset. Skipping. Error: %s", e)
+            return None
 
-    def add_input_dataset(self, dataset_kwargs: dict, hook: LineageContext):
+    def add_input_dataset(
+        self,
+        hook: LineageContext,
+        scheme: str,
+        uri: str | None = None,
+        dataset_kwargs: dict | None = None,
+        dataset_extra: dict | None = None,
+    ):
         """Add the input dataset and its corresponding hook execution context to the collector."""
-        dataset = self.create_dataset(dataset_kwargs)
-        self.inputs.append((dataset, hook))
+        dataset = self.create_dataset(
+            scheme=scheme, uri=uri, dataset_kwargs=dataset_kwargs, dataset_extra=dataset_extra
+        )
+        if dataset:
+            self.inputs.append((dataset, hook))
 
-    def add_output_dataset(self, dataset_kwargs: dict, hook: LineageContext):
+    def add_output_dataset(
+        self,
+        hook: LineageContext,
+        scheme: str,
+        uri: str | None = None,
+        dataset_kwargs: dict | None = None,
+        dataset_extra: dict | None = None,
+    ):
         """Add the output dataset and its corresponding hook execution context to the collector."""
-        dataset = self.create_dataset(dataset_kwargs)
-        self.outputs.append((dataset, hook))
+        dataset = self.create_dataset(
+            scheme=scheme, uri=uri, dataset_kwargs=dataset_kwargs, dataset_extra=dataset_extra
+        )
+        if dataset:
+            self.outputs.append((dataset, hook))
 
     @property
     def collected_datasets(self) -> HookLineage:
@@ -112,7 +137,9 @@ def add_output_dataset(self, *_):
     def collected_datasets(
         self,
     ) -> HookLineage:
-        self.log.warning("You should not call this as there's no reader.")
+        self.log.warning(
+            "Data lineage tracking is disabled. Register a hook lineage reader to start tracking hook lineage."
+        )
         return HookLineage([], [])
 
 
@@ -132,8 +159,11 @@ def get_hook_lineage_collector() -> HookLineageCollector:
     """Get singleton lineage collector."""
     global _hook_lineage_collector
     if not _hook_lineage_collector:
-        # is there a better why how to use noop?
-        if ProvidersManager().hook_lineage_readers:
+        from airflow import plugins_manager
+
+        plugins_manager.initialize_hook_lineage_readers_plugins()
+        print("DUPA", plugins_manager.hook_lineage_reader_classes)
+        if plugins_manager.hook_lineage_reader_classes:
             _hook_lineage_collector = HookLineageCollector()
         else:
             _hook_lineage_collector = NoOpCollector()

airflow/plugins_manager.py

@@ -27,6 +27,7 @@
 import os
 import sys
 import types
+from cgitb import Hook
 from pathlib import Path
 from typing import TYPE_CHECKING, Any, Iterable
 
@@ -41,6 +42,8 @@
 from airflow.utils.module_loading import import_string, qualname
 
 if TYPE_CHECKING:
+    from airflow.lineage.hook import HookLineageReader
+
     try:
         import importlib_metadata as metadata
     except ImportError:
@@ -75,6 +78,7 @@
 registered_operator_link_classes: dict[str, type] | None = None
 registered_ti_dep_classes: dict[str, type] | None = None
 timetable_classes: dict[str, type[Timetable]] | None = None
+hook_lineage_reader_classes: list[type[Hook]] | None = None
 priority_weight_strategy_classes: dict[str, type[PriorityWeightStrategy]] | None = None
 """
 Mapping of class names to class of OperatorLinks registered by plugins.
@@ -176,8 +180,12 @@ class AirflowPlugin:
     # A list of timetable classes that can be used for DAG scheduling.
     timetables: list[type[Timetable]] = []
 
+    # A list of listeners that can be used for tracking task and DAG states.
     listeners: list[ModuleType | object] = []
 
+    # A list of hook lineage reader classes that can be used for reading lineage information from a hook.
+    hook_lineage_readers: list[type[HookLineageReader]] = []
+
     # A list of priority weight strategy classes that can be used for calculating tasks weight priority.
     priority_weight_strategies: list[type[PriorityWeightStrategy]] = []
 
@@ -483,6 +491,25 @@ def initialize_timetables_plugins():
     }
 
 
+def initialize_hook_lineage_readers_plugins():
+    """Collect hook lineage reader classes registered by plugins."""
+    global hook_lineage_reader_classes
+
+    if hook_lineage_reader_classes is not None:
+        return
+
+    ensure_plugins_loaded()
+
+    if plugins is None:
+        raise AirflowPluginException("Can't load plugins.")
+
+    log.debug("Initialize hook lineage readers plugins")
+
+    hook_lineage_reader_classes = []
+    for plugin in plugins:
+        hook_lineage_reader_classes.extend(plugin.hook_lineage_readers)
+
+
 def integrate_executor_plugins() -> None:
     """Integrate executor plugins to the context."""
     global plugins

airflow/provider.yaml.schema.json

@@ -220,13 +220,6 @@
                 }
             }
         },
-        "hook-lineage-readers": {
-            "type": "array",
-            "description": "Hook lineage readers",
-            "items": {
-                "type": "string"
-            }
-        },
         "transfers": {
             "type": "array",
             "items": {

airflow/providers_manager.py

@@ -428,7 +428,6 @@ def __init__(self):
         self._fs_set: set[str] = set()
         self._dataset_uri_handlers: dict[str, Callable[[SplitResult], SplitResult]] = {}
         self._dataset_factories: dict[str, Callable[..., Dataset]] = {}
-        self._hook_lineage_readers: set[str] = set()
         self._taskflow_decorators: dict[str, Callable] = LazyDictWithCache()  # type: ignore[assignment]
         # keeps mapping between connection_types and hook class, package they come from
         self._hook_provider_dict: dict[str, HookClassProvider] = {}
@@ -526,17 +525,11 @@ def initialize_providers_filesystems(self):
         self._discover_filesystems()
 
     @provider_info_cache("dataset_uris")
-    def initialize_providers_dataset_uri_handlers(self):
+    def initialize_providers_dataset_uri_handlers_and_factories(self):
         """Lazy initialization of provider dataset URI handlers."""
         self.initialize_providers_list()
         self._discover_dataset_uri_handlers_and_factories()
 
-    @provider_info_cache("hook_lineage_readers")
-    def initialize_providers_hook_lineage_readers(self):
-        """Lazy initialization of providers hook lineage readers."""
-        self.initialize_providers_list()
-        self._discover_hook_lineage_readers()
-
     @provider_info_cache("hook_lineage_writers")
     @provider_info_cache("taskflow_decorators")
     def initialize_providers_taskflow_decorator(self):
@@ -574,7 +567,7 @@ def initialize_providers_notifications(self):
         self.initialize_providers_list()
         self._discover_notifications()
 
-    @provider_info_cache(cache_name="auth_managers")
+    @provider_info_cache("auth_managers")
     def initialize_providers_auth_managers(self):
         """Lazy initialization of providers notifications information."""
         self.initialize_providers_list()
@@ -889,34 +882,28 @@ def _discover_filesystems(self) -> None:
         self._fs_set = set(sorted(self._fs_set))
 
     def _discover_dataset_uri_handlers_and_factories(self) -> None:
-        from airflow.datasets import create_dataset, normalize_noop
+        from airflow.datasets import normalize_noop
 
         for provider_package, provider in self._provider_dict.items():
             for handler_info in provider.data.get("dataset-uris", []):
                 try:
                     schemes = handler_info["schemes"]
                     handler_path = handler_info["handler"]
-                    factory_path = handler_info["factory"]
                 except KeyError:
                     continue
                 if handler_path is None:
                     handler = normalize_noop
-                if factory_path is None:
-                    factory = create_dataset
-                elif not (handler := _correctness_check(provider_package, handler_path, provider)) or not (
-                    factory := _correctness_check(provider_package, factory_path, provider)
-                ):
+                elif not (handler := _correctness_check(provider_package, handler_path, provider)):
                     continue
                 self._dataset_uri_handlers.update((scheme, handler) for scheme in schemes)
+                factory_path = handler_info.get("factory")
+                if not (
+                    factory_path is not None
+                    and (factory := _correctness_check(provider_package, factory_path, provider))
+                ):
+                    continue
                 self._dataset_factories.update((scheme, factory) for scheme in schemes)
 
-    def _discover_hook_lineage_readers(self) -> None:
-        for provider_package, provider in self._provider_dict.items():
-            for hook_lineage_reader in provider.data.get("hook-lineage-readers", []):
-                if _correctness_check(provider_package, hook_lineage_reader, provider):
-                    self._hook_lineage_readers.add(hook_lineage_reader)
-        self._fs_set = set(sorted(self._fs_set))
-
     def _discover_taskflow_decorators(self) -> None:
         for name, info in self._provider_dict.items():
             for taskflow_decorator in info.data.get("task-decorators", []):
@@ -1314,19 +1301,14 @@ def filesystem_module_names(self) -> list[str]:
 
     @property
     def dataset_factories(self) -> dict[str, Callable[..., Dataset]]:
-        self.initialize_providers_dataset_uri_handlers()
+        self.initialize_providers_dataset_uri_handlers_and_factories()
         return self._dataset_factories
 
     @property
     def dataset_uri_handlers(self) -> dict[str, Callable[[SplitResult], SplitResult]]:
-        self.initialize_providers_dataset_uri_handlers()
+        self.initialize_providers_dataset_uri_handlers_and_factories()
         return self._dataset_uri_handlers
 
-    @property
-    def hook_lineage_readers(self) -> list[str]:
-        self.initialize_providers_hook_lineage_readers()
-        return sorted(self._hook_lineage_readers)
-
     @property
     def provider_configs(self) -> list[tuple[str, dict[str, Any]]]:
         self.initialize_providers_configuration()

docs/apache-airflow/administration-and-deployment/lineage.rst

@@ -89,6 +89,48 @@ has outlets defined (e.g. by using ``add_outlets(..)`` or has out of the box sup
 
 .. _precedence: https://docs.python.org/3/reference/expressions.html
 
+Hook Lineage
+------------
+
+Airflow provides a powerful feature for tracking data lineage not only between tasks but also from hooks used within those tasks.
+This functionality helps you understand how data flows throughout your Airflow pipelines.
+
+A global instance of ``HookLineageCollector`` serves as the central hub for collecting lineage information.
+Hooks can send details about datasets they interact with to this collector.
+The collector then uses this data to construct AIP-60 compliant Datasets, a standard format for describing datasets.
+
+.. code-block:: python
+
+    from airflow.lineage.hook_lineage import get_hook_lineage_collector
+
+
+    class CustomHook(BaseHook):
+        def run(self):
+            # run actual code
+            collector = get_hook_lineage_collector()
+            collector.add_input_dataset(self, dataset_kwargs={"scheme": "file", "path": "/tmp/in"})
+            collector.add_output_dataset(self, dataset_kwargs={"scheme": "file", "path": "/tmp/out"})
+
+Lineage data collected by the ``HookLineageCollector`` can be accessed using an instance of ``HookLineageReader``.
+
+.. code-block:: python
+
+    from airflow.lineage.hook_lineage import HookLineageReader
+    from airflow.plugins_manager import AirflowPlugin
+
+
+    class CustomHookLineageReader(HookLineageReader):
+        def get_inputs(self):
+            return self.lineage_collector.collected_datasets.inputs
+
+
+    class HookLineageCollectionPlugin(AirflowPlugin):
+        name = "HookLineageCollectionPlugin"
+        hook_lineage_readers = [CustomHookLineageReader]
+
+If no ``HookLineageReader`` is registered within Airflow, a default ``NoOpCollector`` is used instead.
+This collector does not create AIP-60 compliant datasets or collect lineage information.
+
 
 Lineage Backend
 ---------------