feat(firestore): pipeline subequeries

packages/google-cloud-firestore/google/cloud/firestore_v1/async_pipeline.py

@@ -66,6 +66,8 @@ class AsyncPipeline(_BasePipeline):
         subject to potential breaking changes in future releases
     """
 
+    _client: AsyncClient
+
     def __init__(self, client: AsyncClient, *stages: stages.Stage):
         """
         Initializes an asynchronous Pipeline.
@@ -102,6 +104,9 @@ async def execute(
                 explain_metrics will be available on the returned list.
             additional_options (Optional[dict[str, Value | Constant]]): Additional options to pass to the query.
                 These options will take precedence over method argument if there is a conflict (e.g. explain_options)
+
+        Raises:
+            google.api_core.exceptions.GoogleAPIError: If there is a backend error.
         """
         kwargs = {k: v for k, v in locals().items() if k != "self"}
         stream = AsyncPipelineStream(PipelineResult, self, **kwargs)
@@ -134,6 +139,9 @@ def stream(
                 explain_metrics will be available on the returned generator.
             additional_options (Optional[dict[str, Value | Constant]]): Additional options to pass to the query.
                 These options will take precedence over method argument if there is a conflict (e.g. explain_options)
+
+        Raises:
+            google.api_core.exceptions.GoogleAPIError: If there is a backend error.
         """
         kwargs = {k: v for k, v in locals().items() if k != "self"}
         return AsyncPipelineStream(PipelineResult, self, **kwargs)

packages/google-cloud-firestore/google/cloud/firestore_v1/base_pipeline.py

@@ -14,7 +14,8 @@
 
 from __future__ import annotations
 
-from typing import TYPE_CHECKING, Sequence
+from typing import TYPE_CHECKING, Sequence, TypeVar, Type
+
 
 from google.cloud.firestore_v1 import pipeline_stages as stages
 from google.cloud.firestore_v1.base_vector_query import DistanceMeasure
@@ -25,6 +26,8 @@
     Expression,
     Field,
     Selectable,
+    FunctionExpression,
+    _PipelineValueExpression,
 )
 from google.cloud.firestore_v1.types.pipeline import (
     StructuredPipeline as StructuredPipeline_pb,
@@ -35,6 +38,8 @@
     from google.cloud.firestore_v1.async_client import AsyncClient
     from google.cloud.firestore_v1.client import Client
 
+_T = TypeVar("_T", bound="_BasePipeline")
+
 
 class _BasePipeline:
     """
@@ -44,7 +49,7 @@ class _BasePipeline:
     Use `client.pipeline()` to create pipeline instances.
     """
 
-    def __init__(self, client: Client | AsyncClient):
+    def __init__(self, client: Client | AsyncClient | None):
         """
         Initializes a new pipeline.
 
@@ -59,8 +64,8 @@ def __init__(self, client: Client | AsyncClient):
 
     @classmethod
     def _create_with_stages(
-        cls, client: Client | AsyncClient, *stages
-    ) -> _BasePipeline:
+        cls: Type[_T], client: Client | AsyncClient | None, *stages
+    ) -> _T:
         """
         Initializes a new pipeline with the given stages.
 
@@ -90,6 +95,51 @@ def _to_pb(self, **options) -> StructuredPipeline_pb:
             options=options,
         )
 
+    def to_array_expression(self) -> Expression:
+        """
+        Converts this Pipeline into an expression that evaluates to an array of results.
+        Used for embedding 1:N subqueries into stages like `addFields`.
+
+        Example:
+            >>> # Get a list of all reviewer names for each book
+            >>> db.pipeline().collection("books").define(Field.of("id").as_("book_id")).add_fields(
+            ...     db.pipeline().collection("reviews")
+            ...         .where(Field.of("book_id").equal(Variable("book_id")))
+            ...         .select(Field.of("reviewer").as_("name"))
+            ...         .to_array_expression().as_("reviewers")
+            ... )
+
+        Returns:
+            An :class:`Expression` representing the execution of this pipeline.
+        """
+        return FunctionExpression("array", [_PipelineValueExpression(self)])
+
+    def to_scalar_expression(self) -> Expression:
+        """
+        Converts this Pipeline into an expression that evaluates to a single scalar result.
+        Used for 1:1 lookups or Aggregations when the subquery is expected to return a single value or object.
+
+        **Result Unwrapping:**
+        For simpler access, scalar subqueries producing a single field automatically unwrap that value to the
+        top level, ignoring the inner alias. If the subquery returns multiple fields, they are preserved as a map.
+
+        Example:
+            >>> # Calculate average rating for each restaurant using a subquery
+            >>> db.pipeline().collection("restaurants").define(Field.of("id").as_("rid")).add_fields(
+            ...     db.pipeline().collection("reviews")
+            ...         .where(Field.of("restaurant_id").equal(Variable("rid")))
+            ...         .aggregate(AggregateFunction.average("rating").as_("value"))
+            ...         .to_scalar_expression().as_("average_rating")
+            ... )
+
+        **Runtime Validation:**
+        The runtime will validate that the result set contains exactly one item. It returns an error if the result has more than one item, and evaluates to `null` if the pipeline has zero results.
+
+        Returns:
+            An :class:`Expression` representing the execution of this pipeline.
+        """
+        return FunctionExpression("scalar", [_PipelineValueExpression(self)])
+
     def _append(self, new_stage):
         """
         Create a new Pipeline object with a new stage appended
@@ -391,9 +441,17 @@ def union(self, other: "_BasePipeline") -> "_BasePipeline":
         Args:
             other: The other `Pipeline` whose results will be unioned with this one.
 
+        Raises:
+            ValueError: If the `other` pipeline is a relative pipeline (e.g. created without a client).
+
         Returns:
             A new Pipeline object with this stage appended to the stage list
         """
+        if other._client is None:
+            raise ValueError(
+                "Union only supports combining root pipelines, doesn't support relative scope Pipeline "
+                "like relative subcollection pipeline"
+            )
         return self._append(stages.Union(other))
 
     def unnest(
@@ -610,3 +668,53 @@ def distinct(self, *fields: str | Selectable) -> "_BasePipeline":
             A new Pipeline object with this stage appended to the stage list
         """
         return self._append(stages.Distinct(*fields))
+
+    def define(self, *aliased_expressions: AliasedExpression) -> "_BasePipeline":
+        """
+        Binds one or more expressions to Variables that can be accessed in subsequent stages
+        or inner subqueries using `Variable`.
+
+        Each Variable is defined using an :class:`AliasedExpression`, which pairs an expression with
+        a name (alias).
+
+        Example:
+            >>> db.pipeline().collection("products").define(
+            ...     Field.of("price").multiply(0.9).as_("discountedPrice"),
+            ...     Field.of("stock").add(10).as_("newStock")
+            ... ).where(
+            ...     Variable("discountedPrice").less_than(100)
+            ... ).select(Field.of("name"), Variable("newStock"))
+
+        Args:
+            *aliased_expressions: One or more :class:`AliasedExpression` defining the Variable names and values.
+
+        Returns:
+            A new Pipeline object with this stage appended to the stage list.
+        """
+        return self._append(stages.Define(*aliased_expressions))
+
+
+class SubPipeline(_BasePipeline):
+    """
+    A pipeline scoped to a subcollection, created without a database client.
+    Cannot be executed directly; it must be used as a subquery within another pipeline.
+    """
+
+    _EXECUTE_ERROR_MSG = (
+        "This pipeline was created without a database (e.g., as a subcollection pipeline) and "
+        "cannot be executed directly. It can only be used as part of another pipeline."
+    )
+
+    def execute(self, *args, **kwargs):
+        """
+        Raises:
+            RuntimeError: Always, as a subcollection pipeline cannot be executed directly.
+        """
+        raise RuntimeError(self._EXECUTE_ERROR_MSG)
+
+    def stream(self, *args, **kwargs):
+        """
+        Raises:
+            RuntimeError: Always, as a subcollection pipeline cannot be streamed directly.
+        """
+        raise RuntimeError(self._EXECUTE_ERROR_MSG)

packages/google-cloud-firestore/google/cloud/firestore_v1/pipeline.py

@@ -63,6 +63,8 @@ class Pipeline(_BasePipeline):
         subject to potential breaking changes in future releases.
     """
 
+    _client: Client
+
     def __init__(self, client: Client, *stages: stages.Stage):
         """
         Initializes a Pipeline.
@@ -99,6 +101,9 @@ def execute(
                 explain_metrics will be available on the returned list.
             additional_options (Optional[dict[str, Value | Constant]]): Additional options to pass to the query.
                 These options will take precedence over method argument if there is a conflict (e.g. explain_options)
+
+        Raises:
+            google.api_core.exceptions.GoogleAPIError: If there is a backend error.
         """
         kwargs = {k: v for k, v in locals().items() if k != "self"}
         stream = PipelineStream(PipelineResult, self, **kwargs)
@@ -131,6 +136,9 @@ def stream(
                 explain_metrics will be available on the returned generator.
             additional_options (Optional[dict[str, Value | Constant]]): Additional options to pass to the query.
                 These options will take precedence over method argument if there is a conflict (e.g. explain_options)
+
+        Raises:
+            google.api_core.exceptions.GoogleAPIError: If there is a backend error.
         """
         kwargs = {k: v for k, v in locals().items() if k != "self"}
         return PipelineStream(PipelineResult, self, **kwargs)

packages/google-cloud-firestore/google/cloud/firestore_v1/pipeline_expressions.py

@@ -23,14 +23,19 @@
 from abc import ABC, abstractmethod
 from enum import Enum
 from typing import (
+    TYPE_CHECKING,
     Any,
     Generic,
     Sequence,
     TypeVar,
 )
 
+if TYPE_CHECKING:
+    from google.cloud.firestore_v1.base_pipeline import _BasePipeline
+
 from google.cloud.firestore_v1._helpers import GeoPoint, decode_value, encode_value
 from google.cloud.firestore_v1.types.document import Value
+from google.cloud.firestore_v1.types.document import Pipeline as Pipeline_pb
 from google.cloud.firestore_v1.types.query import StructuredQuery as Query_pb
 from google.cloud.firestore_v1.vector import Vector
 
@@ -258,6 +263,26 @@ def __get__(self, instance, owner):
             else:
                 return self.instance_func.__get__(instance, owner)
 
+    @expose_as_static
+    def get_field(self, key: Expression | str) -> "Expression":
+        """Accesses a field/property of the expression that evaluates to a Map or Document.
+
+        Example:
+            >>> # Access the 'city' field from the 'address' map field.
+            >>> Field.of("address").get_field("city")
+            >>> # Create a map and access a field from it.
+            >>> Map({"foo": "bar"}).get_field("foo")
+
+        Args:
+            key: The key of the field to access.
+
+        Returns:
+            A new `Expression` representing the value of the field.
+        """
+        return FunctionExpression(
+            "get_field", [self, self._cast_to_expr_or_convert_to_constant(key)]
+        )
+
     @expose_as_static
     def add(self, other: Expression | float) -> "Expression":
         """Creates an expression that adds this expression to another expression or constant.
@@ -2709,6 +2734,17 @@ def _from_query_filter_pb(filter_pb, client):
             raise TypeError(f"Unexpected filter type: {type(filter_pb)}")
 
 
+class _PipelineValueExpression(Expression):
+    """Internal wrapper to represent a pipeline as an expression."""
+
+    def __init__(self, pipeline: "_BasePipeline"):
+        self.pipeline = pipeline
+
+    def _to_pb(self) -> Value:
+        pipeline_pb = Pipeline_pb(stages=[s._to_pb() for s in self.pipeline.stages])
+        return Value(pipeline_value=pipeline_pb)
+
+
 class Array(FunctionExpression):
     """
     Creates an expression that creates a Firestore array value from an input list.
@@ -2889,3 +2925,42 @@ class Rand(FunctionExpression):
 
     def __init__(self):
         super().__init__("rand", [], use_infix_repr=False)
+
+
+class Variable(Expression):
+    """
+    Creates an expression that retrieves the value of a variable bound via `Pipeline.define`.
+
+    Example:
+        >>> # Define a variable "discountedPrice" and use it in a filter
+        >>> db.pipeline().collection("products").define(
+        ...     Field.of("price").multiply(0.9).as_("discountedPrice")
+        ... ).where(Variable("discountedPrice").less_than(100))
+
+    Args:
+        name: The name of the variable to retrieve.
+    """
+
+    def __init__(self, name: str):
+        self.name = name
+
+    def _to_pb(self) -> Value:
+        return Value(variable_reference_value=self.name)
+
+
+class CurrentDocument(FunctionExpression):
+    """
+    Creates an expression that represents the current document being processed.
+
+    This acts as a handle, allowing you to bind the entire document to a variable or pass the
+    document itself to a function or subquery.
+
+    Example:
+        >>> # Define the current document as a variable "doc"
+        >>> db.pipeline().collection("books").define(
+        ...     CurrentDocument().as_("doc")
+        ... ).select(Variable("doc").get_field("title"))
+    """
+
+    def __init__(self):
+        super().__init__("current_document", [])

packages/google-cloud-firestore/google/cloud/firestore_v1/pipeline_result.py

@@ -49,7 +49,6 @@
     from google.cloud.firestore_v1.async_transaction import AsyncTransaction
     from google.cloud.firestore_v1.base_client import BaseClient
     from google.cloud.firestore_v1.base_document import BaseDocumentReference
-    from google.cloud.firestore_v1.base_pipeline import _BasePipeline
     from google.cloud.firestore_v1.client import Client
     from google.cloud.firestore_v1.pipeline import Pipeline
     from google.cloud.firestore_v1.pipeline_expressions import Constant
@@ -190,7 +189,7 @@ def __init__(
     ):
         # public
         self.transaction = transaction
-        self.pipeline: _BasePipeline = pipeline
+        self.pipeline: Pipeline | AsyncPipeline = pipeline
         self.execution_time: Timestamp | None = None
         # private
         self._client: Client | AsyncClient = pipeline._client

packages/google-cloud-firestore/google/cloud/firestore_v1/pipeline_source.py

@@ -23,7 +23,7 @@
 
 from google.cloud.firestore_v1 import pipeline_stages as stages
 from google.cloud.firestore_v1._helpers import DOCUMENT_PATH_DELIMITER
-from google.cloud.firestore_v1.base_pipeline import _BasePipeline
+from google.cloud.firestore_v1.base_pipeline import _BasePipeline, SubPipeline
 
 if TYPE_CHECKING:  # pragma: NO COVER
     from google.cloud.firestore_v1.async_client import AsyncClient
@@ -168,6 +168,31 @@ def literals(
             *documents: One or more documents to be returned by this stage. Each can be a `dict`
                        of values of `Expression` or `CONSTANT_TYPE` types.
         Returns:
-            A new Pipeline object with this stage appended to the stage list.
+            A new pipeline instance targeting the specified literal documents
         """
         return self._create_pipeline(stages.Literals(*documents))
+
+    def subcollection(self, path: str) -> SubPipeline:
+        """
+        Initializes a pipeline scoped to a subcollection.
+
+        This method allows you to start a new pipeline that operates on a subcollection of the
+        current document. It is intended to be used as a subquery.
+
+        **Note:** A pipeline created with `subcollection` cannot be executed directly using
+        `execute()`. It must be used within a parent pipeline.
+
+        Example:
+            >>> db.pipeline().collection("books").add_fields(
+            ...     db.pipeline().subcollection("reviews")
+            ...         .aggregate(AggregateFunction.average("rating").as_("avg_rating"))
+            ...         .to_scalar_expression().as_("average_rating")
+            ... )
+
+        Args:
+            path: The path of the subcollection.
+
+        Returns:
+            A new pipeline instance targeting the specified subcollection
+        """
+        return SubPipeline._create_with_stages(None, stages.Subcollection(path))