@firebase/firestore
Version:
The Cloud Firestore component of the Firebase JS SDK.
949 lines (928 loc) • 38 kB
JavaScript
import { _ as a, f as e, F as s, E as t, V as n, c as i, v as r, a as o, A as c, b as l, d as u, e as p, m as h, g as b, p as d, h as m, i as f, j as w, k as g, l as _, n as T, o as P, q as x, r as y, s as E, t as A, u as R, w as I, x as v, y as M, z as O, B as V, C as S, D, G as j, H as q, I as F, J as C, K as L, L as $, M as N, N as U, O as G, P as W, Q as k, R as B, S as K, T as z, U as H, W as J, X as Q, Y as X, Z as Y, $ as Z, a0 as aa, a1 as ea, a2 as sa, a3 as ta, a4 as na, a5 as ia, a6 as ra, a7 as oa, a8 as la, a9 as ua, aa as pa, ab as ha, ac as da, ad as ma } from "./common-C7mVdMAg.rn.js";
export { ae as AliasedAggregate, af as BooleanExpression, ag as Ordering, ah as _internalPipelineToExecutePipelineRequestProto, ai as abs, aj as add, ak as and, al as arrayAgg, am as arrayAggDistinct, an as arrayConcat, ao as arrayContains, ap as arrayContainsAll, aq as arrayContainsAny, ar as arrayFilter, as as arrayFirst, at as arrayFirstN, au as arrayGet, av as arrayIndexOf, aw as arrayIndexOfAll, ax as arrayLast, ay as arrayLastIndexOf, az as arrayLastN, aA as arrayLength, aB as arrayMaximum, aC as arrayMaximumN, aD as arrayMinimum, aE as arrayMinimumN, aF as arraySlice, aG as arraySum, aH as arrayTransform, aI as arrayTransformWithIndex, aJ as ascending, aK as average, aL as byteLength, aM as ceil, aN as charLength, aO as coalesce, aP as collectionId, aQ as concat, aR as conditional, aS as cosineDistance, aT as count, aU as countAll, aV as countDistinct, aW as countIf, aX as currentDocument, aY as currentTimestamp, aZ as descending, a_ as divide, a$ as documentId, b0 as dotProduct, b1 as endsWith, b2 as equal, b3 as equalAny, b4 as euclideanDistance, b5 as exists, b6 as exp, b7 as first, b8 as floor, b9 as geoDistance, ba as greaterThan, bb as greaterThanOrEqual, bc as ifAbsent, bd as ifError, be as ifNull, bf as isAbsent, bg as isError, bh as isType, bi as join, bj as last, bk as length, bl as lessThan, bm as lessThanOrEqual, bn as like, bo as ln, bp as log, bq as log10, br as logicalMaximum, bs as logicalMinimum, bt as ltrim, bu as mapEntries, bv as mapGet, bw as mapKeys, bx as mapMerge, by as mapRemove, bz as mapSet, bA as mapValues, bB as maximum, bC as minimum, bD as mod, bE as multiply, bF as nor, bG as not, bH as notEqual, bI as notEqualAny, bJ as or, bK as parent, bL as pow, bM as rand, bN as regexContains, bO as regexFind, bP as regexFindAll, bQ as regexMatch, bR as reverse, bS as round, bT as rtrim, bU as score, bV as split, bW as sqrt, bX as startsWith, bY as stringConcat, bZ as stringContains, b_ as stringIndexOf, b$ as stringRepeat, c0 as stringReplaceAll, c1 as stringReplaceOne, c2 as stringReverse, c3 as substring, c4 as subtract, c5 as sum, c6 as switchOn, c7 as timestampAdd, c8 as timestampDiff, c9 as timestampExtract, ca as timestampSubtract, cb as timestampToUnixMicros, cc as timestampToUnixMillis, cd as timestampToUnixSeconds, ce as timestampTruncate, cf as toLower, cg as toUpper, ch as trim, ci as trunc, cj as type, ck as unixMicrosToTimestamp, cl as unixMillisToTimestamp, cm as unixSecondsToTimestamp, cn as variable, co as vectorLength, cp as xor } from "./common-C7mVdMAg.rn.js";
import "@firebase/app";
import "@firebase/util";
import "@firebase/webchannel-wrapper/bloom-blob";
import "@firebase/logger";
import "@firebase/webchannel-wrapper/webchannel-blob";
import "re2js";
/**
* @license
* Copyright 2025 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/**
* @deprecated use selectablesToObject instead
* @param selectables
*/ function __PRIVATE_selectablesToMap(a) {
return new Map(Object.entries(__PRIVATE_selectablesToObject(a)));
}
function __PRIVATE_selectablesToObject(a) {
const t = {};
for (const n of a) {
let a, i;
if ("string" == typeof n ? (a = n, i = e(n)) : n instanceof o || n instanceof c ? (a = n.alias,
i = n.expr) : l(21273, {
selectable: n
}), void 0 !== t[a]) throw new s("invalid-argument", `Duplicate alias or field '${a}'`);
t[a] = i;
}
return t;
}
/**
* Converts a value to an Expression, Returning either a Constant, MapFunction,
* ArrayFunction, or the input itself (if it's already an expression).
* If the input is a string, it is assumed to be a field name, and a
* field(value) is returned.
*
* @private
* @internal
* @param value
*/
function __PRIVATE_fieldOrExpression(s) {
if (a(s)) {
return e(s);
}
/**
* Converts a value to an Expression, Returning either a Constant, MapFunction,
* ArrayFunction, or the input itself (if it's already an expression).
*
* @private
* @internal
* @param value
*/
return function __PRIVATE_valueToDefaultExpr(a) {
let e;
if (u(a)) return i(a);
if (a instanceof t) return a;
e = p(a) ? h(a) : a instanceof Array ? b(a) :
/**
* Checks if a value is a Pipeline object.
*
* We use duck typing here to avoid a circular dependency between pipeline.ts and pipeline_util.ts.
*/
function __PRIVATE_isPipeline$1(a) {
return "object" == typeof a && null !== a && "function" == typeof a.toArrayExpression;
}
/**
* @license
* Copyright 2024 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/**
*
* The Pipeline class provides a flexible and expressive framework for building complex data
* transformation and query pipelines for Firestore.
*
* A pipeline takes data sources, such as Firestore collections or collection groups, and applies
* a series of stages that are chained together. Each stage takes the output from the previous stage
* (or the data source) and produces an output for the next stage (or as the final output of the
* pipeline).
*
* Expressions can be used within each stage to filter and transform data through the stage.
*
* NOTE: The chained stages do not prescribe exactly how Firestore will execute the pipeline.
* Instead, Firestore only guarantees that the result is the same as if the chained stages were
* executed in order.
*
* @example
* ```typescript
* const db: Firestore; // Assumes a valid firestore instance.
*
* // Example 1: Select specific fields and rename 'rating' to 'bookRating'
* const results1 = await execute(db.pipeline()
* .collection("books")
* .select("title", "author", field("rating").as("bookRating")));
*
* // Example 2: Filter documents where 'genre' is "Science Fiction" and 'published' is after 1950
* const results2 = await execute(db.pipeline()
* .collection("books")
* .where(and(field("genre").equal("Science Fiction"), field("published").greaterThan(1950))));
*
* // Example 3: Calculate the average rating of books published after 1980
* const results3 = await execute(db.pipeline()
* .collection("books")
* .where(field("published").greaterThan(1980))
* .aggregate(average(field("rating")).as("averageRating")));
* ```
*/ (a) ? d(a) : m(a, void 0);
return e;
}(s);
}
let fa = class Pipeline {
/**
* @internal
* @private
* @param _db
* @param userDataReader
* @param _userDataWriter
* @param stages
*/
constructor(
/**
* @internal
* @private
*/
a,
/**
* @internal
* @private
*/
e,
/**
* @internal
* @private
*/
s,
/**
* @internal
* @private
*/
t) {
this._db = a, this.userDataReader = e, this._userDataWriter = s, this.stages = t;
}
_readUserData(a) {
this.stages.forEach((e => {
const s = a.contextWith({
methodName: e._name
});
e._readUserData(s);
}));
}
addFields(a, ...e) {
// Process argument union(s) from method overloads
let s, t;
f(a) ? (s = [ a, ...e ], t = {}) : ({fields: s, ...t} = a);
// Convert user land convenience types to internal types
const n = __PRIVATE_selectablesToMap(s), i = new w(n, t);
// Create stage object
// Add stage to the pipeline
return this._addStage(i);
}
removeFields(s, ...t) {
// Process argument union(s) from method overloads
const n = g(s) || a(s) ? {} : s, i = (g(s) || a(s) ? [ s, ...t ] : s.fields).map((s => a(s) ? e(s) : s)), r = new _(i, n);
// Add stage to the pipeline
return this._addStage(r);
}
define(a, ...e) {
// Process argument union(s) from method overloads
const s = T(a) ? {} : a, t = __PRIVATE_selectablesToMap(T(a) ? [ a, ...e ] : a.variables), n = new P(t, s);
return this._addStage(n);
}
/**
* Converts this Pipeline into an expression that evaluates to an array of results.
*
* <p>Result Unwrapping:</p>
* <ul>
* <li>If the items have a single field, their values are unwrapped and returned directly in the array.</li>
* <li>If the items have multiple fields, they are returned as objects in the array</li>
* </ul>
*
* @example
* ```typescript
* // Get a list of reviewers for each book
* db.pipeline().collection("books")
* .define(field("id").as("book_id"))
* .addFields(
* db.pipeline().collection("reviews")
* .where(field("book_id").equal(variable("book_id")))
* .select(field("reviewer"))
* .toArrayExpression()
* .as("reviewers")
* )
* ```
*
* Output:
* ```json
* [
* {
* "id": "1",
* "title": "1984",
* "reviewers": ["Alice", "Bob"]
* }
* ]
* ```
*
* Multiple Fields:
* ```typescript
* // Get a list of reviews (reviewer and rating) for each book
* db.pipeline().collection("books")
* .define(field("id").as("book_id"))
* .addFields(
* db.pipeline().collection("reviews")
* .where(field("book_id").equal(variable("book_id")))
* .select(field("reviewer"), field("rating"))
* .toArrayExpression()
* .as("reviews"))
* ```
*
* Output:
* ```json
* [
* {
* "id": "1",
* "title": "1984",
* "reviews": [
* { "reviewer": "Alice", "rating": 5 },
* { "reviewer": "Bob", "rating": 4 }
* ]
* }
* ]
* ```
*
* @returns An `Expression` representing the execution of this pipeline.
*/ toArrayExpression() {
return new x("array", [ __PRIVATE_fieldOrExpression(this) ]);
}
/**
* Converts this Pipeline into an expression that evaluates to a single scalar result.
*
* <p><b>Runtime Validation:</b> The runtime validates that the result set contains zero or one item. If
* zero items, it evaluates to `null`.</p>
*
* <p>Result Unwrapping:</p>
* <ul>
* <li>If the item has a single field, its value is unwrapped and returned directly.</li>
* <li>If the item has multiple fields, they are returned as an object.</li>
* </ul>
*
* @example
* ```typescript
* // Calculate average rating for a restaurant
* db.pipeline().collection("restaurants").addFields(
* db.pipeline().collection("reviews")
* .where(field("restaurant_id").equal(variable("rid")))
* .aggregate(average("rating").as("avg"))
* // Unwraps the single "avg" field to a scalar double
* .toScalarExpression().as("average_rating")
* )
* ```
*
* Output:
* ```json
* {
* "name": "The Burger Joint",
* "average_rating": 4.5
* }
* ```
*
* Multiple Fields:
* ```typescript
* // Calculate average rating AND count for a restaurant
* db.pipeline().collection("restaurants").addFields(
* db.pipeline().collection("reviews")
* .where(field("restaurant_id").equal(variable("rid")))
* .aggregate(
* average("rating").as("avg"),
* count().as("count")
* )
* // Returns an object with "avg" and "count" fields
* .toScalarExpression().as("stats")
* )
* ```
*
* Output:
* ```json
* {
* "name": "The Burger Joint",
* "stats": {
* "avg": 4.5,
* "count": 100
* }
* }
* ```
*
* @returns An `Expression` representing the execution of this pipeline.
*/ toScalarExpression() {
return new x("scalar", [ __PRIVATE_fieldOrExpression(this) ]);
}
select(e, ...s) {
// Process argument union(s) from method overloads
const t = f(e) || a(e) ? {} : e, n = __PRIVATE_selectablesToMap(f(e) || a(e) ? [ e, ...s ] : e.selections), i = new y(n, t);
// Add stage to the pipeline
return this._addStage(i);
}
where(a) {
// Process argument union(s) from method overloads
const e = E(a) ? {} : a, s = E(a) ? a : a.condition, t = new A(s, e);
// Add stage to the pipeline
return this._addStage(t);
}
offset(a) {
// Process argument union(s) from method overloads
let e, s;
R(a) ? (e = {}, s = a) : (e = a, s = a.offset);
// Create stage object
const t = new I(s, e);
// Add stage to the pipeline
return this._addStage(t);
}
limit(a) {
// Process argument union(s) from method overloads
const e = R(a) ? {} : a, s = R(a) ? a : a.limit, t = new v(s, e);
// Add stage to the pipeline
return this._addStage(t);
}
distinct(e, ...s) {
// Process argument union(s) from method overloads
const t = a(e) || f(e) ? {} : e, n = __PRIVATE_selectablesToMap(a(e) || f(e) ? [ e, ...s ] : e.groups), i = new M(n, t);
// Add stage to the pipeline
return this._addStage(i);
}
aggregate(a, ...e) {
// Process argument union(s) from method overloads
const t = O(a) ? {} : a, n = O(a) ? [ a, ...e ] : a.accumulators, i = O(a) ? [] : a.groups ?? [], r = function __PRIVATE_aliasedAggregateToMap(a) {
return a.reduce(((a, e) => {
if (void 0 !== a.get(e.alias)) throw new s("invalid-argument", `Duplicate alias or field '${e.alias}'`);
return a.set(e.alias, e.aggregate), a;
}), new Map);
}
/**
* Converts a value to an Expression, Returning either a Constant, MapFunction,
* ArrayFunction, or the input itself (if it's already an expression).
*
* @private
* @internal
* @param value
*/ (n), o = __PRIVATE_selectablesToMap(i), c = new V(o, r, t);
// Add stage to the pipeline
return this._addStage(c);
}
/**
* Performs a vector proximity search on the documents from the previous stage, returning the
* K-nearest documents based on the specified query `vectorValue` and `distanceMeasure`. The
* returned documents will be sorted in order from nearest to furthest from the query `vectorValue`.
*
* @example
* ```typescript
* // Find the 10 most similar books based on the book description.
* const bookDescription = "Lorem ipsum...";
* const queryVector: number[] = ...; // compute embedding of `bookDescription`
*
* firestore.pipeline().collection("books")
* .findNearest({
* field: 'embedding',
* vectorValue: queryVector,
* distanceMeasure: 'euclidean',
* limit: 10, // optional
* distanceField: 'computedDistance' // optional
* });
* ```
*
* @param options - An object that specifies required and optional parameters for the stage.
* @returns A new {@link @firebase/firestore/pipelines#Pipeline} object with this stage appended to the stage list.
*/ findNearest(a) {
// Convert user land convenience types to internal types
const e = S(a.field), s = function __PRIVATE_vectorToExpr(a) {
if (a instanceof t) return a;
if (a instanceof n) return i(a);
if (Array.isArray(a)) return i(r(a));
throw new Error("Unsupported value: " + typeof a);
}(a.vectorValue), o = {
distanceField: a.distanceField ? S(a.distanceField) : void 0,
limit: a.limit,
rawOptions: a.rawOptions
}, c = new D(s, e, a.distanceMeasure, o);
// Add stage to the pipeline
return this._addStage(c);
}
// TODO(search) link to external documentation citing list of supported
// expressions, when that documentation is created. List is not maintained
// in the SDK because the list will change as the backend enables support.
/**
* Add a search stage to the Pipeline. The search stage supports
* full-text search and geo search expressions.
*
* @remarks
* This must be the first stage of the pipeline. A limited set of expressions are supported in the search stage.
*
* @example
* ```typescript
* // Full-text search example
* firestore.pipeline().collection("restaurants")
* .search({
* query: documentMatches("waffles OR pancakes"),
* sort: [
* score().descending(),
* ],
* addFields: [
* score().as("searchScore"),
* ]
* })
* ```
*
* @example
* ```typescript
* // Geo distance search example
* const queryLocation = new GeoPoint(0, 0);
* db.pipeline().collection('restaurants').search({
* query: field('location').geoDistance(queryLocation).lessThanOrEqual(1000),
* sort: [
* score().descending(),
* ],
* })
* ```
*
* @param options - An object that specifies parameters for the stage.
* @return A new `Pipeline` object with this stage appended to the stage list.
* @beta
*/
search(a) {
// Convert user land convenience types to internal types
const e = a.addFields ? __PRIVATE_selectablesToObject(a.addFields) : void 0, s = j(a.query) ? a.query : q(a.query), t = F(a.sort) ? [ a.sort ] : a.sort, n = {
...a,
addFields: e,
select: undefined,
query: s,
sort: t
}, i = new C(n);
// Add stage to the pipeline
return this._addStage(i);
}
sort(a, ...e) {
// Process argument union(s) from method overloads
const s = F(a) ? {} : a, t = F(a) ? [ a, ...e ] : a.orderings, n = new L(t, s);
// Add stage to the pipeline
return this._addStage(n);
}
replaceWith(e) {
// Process argument union(s) from method overloads
const s = a(e) || j(e) ? {} : e, t = __PRIVATE_fieldOrExpression(a(e) || j(e) ? e : e.map), n = new $(t, s);
// Add stage to the pipeline
return this._addStage(n);
}
sample(a) {
// Process argument union(s) from method overloads
const e = R(a) ? {} : a;
let s, t;
R(a) ? (s = a, t = "documents") : R(a.documents) ? (s = a.documents, t = "documents") : (s = a.percentage,
t = "percent");
// Create stage object
const n = new N(s, t, e);
// Add stage to the pipeline
return this._addStage(n);
}
union(a) {
// Process argument union(s) from method overloads
let e, s;
!function __PRIVATE_isPipeline(a) {
return a instanceof fa;
}
/**
* @license
* Copyright 2024 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/**
* Provides the entry point for defining the data source of a Firestore {@link @firebase/firestore/pipelines#Pipeline}.
*
* Use the methods of this class (e.g., {@link @firebase/firestore/pipelines#PipelineSource.(collection:1)}, {@link @firebase/firestore/pipelines#PipelineSource.(collectionGroup:1)},
* {@link @firebase/firestore/pipelines#PipelineSource.(database:1)}, or {@link @firebase/firestore/pipelines#PipelineSource.(documents:1)}) to specify the initial data
* for your pipeline, such as a collection, a collection group, the entire database, or a set of specific documents.
*/ (a) ? ({other: s, ...e} = a) : (e = {}, s = a);
// Create stage object
const t = new U(s, e);
// Add stage to the pipeline
return this._addStage(t);
}
unnest(e, s) {
// Process argument union(s) from method overloads
let t, n, i;
f(e) ? (t = {}, n = e, i = s) : ({selectable: n, indexField: i, ...t} = e);
// Convert user land convenience types to internal types
const r = n.alias, o = n.expr;
a(i) && (t.indexField = G(i, "unnest"));
// Create stage object
const c = new W(r, o, t);
// Add stage to the pipeline
return this._addStage(c);
}
/**
* Adds a raw stage to the pipeline.
*
* <p>This method provides a flexible way to extend the pipeline's functionality by adding custom
* stages. Each raw stage is defined by a unique `name` and a set of `params` that control its
* behavior.
*
* <p>Example (Assuming there is no 'where' stage available in SDK):
*
* @example
* ```typescript
* // Assume we don't have a built-in 'where' stage
* firestore.pipeline().collection('books')
* .rawStage('where', [field('published').lessThan(1900)]) // Custom 'where' stage
* .select('title', 'author');
* ```
*
* @param name - The unique name of the raw stage to add.
* @param params - A list of parameters to configure the raw stage's behavior.
* @param options - An object of key value pairs that specifies optional parameters for the stage.
* @returns A new {@link @firebase/firestore/pipelines#Pipeline} object with this stage appended to the stage list.
*/ rawStage(a, e, s) {
// Convert user land convenience types to internal types
const n = e.map((a => a instanceof t || a instanceof k ? a : p(a) ? B(a) : m(a, "rawStage"))), i = new K(a, n, s ?? {});
// Create stage object
// Add stage to the pipeline
return this._addStage(i);
}
/**
* @internal
* @private
*/ _toProto(a) {
return {
stages: this.stages.map((e => e._toProto(a)))
};
}
_addStage(a) {
const e = this.stages.map((a => a));
return e.push(a), this.newPipeline(this._db, e);
}
/**
* @internal
* @private
* @param db
* @param userDataReader
* @param userDataWriter
* @param stages
* @protected
*/ newPipeline(a, e) {
return new Pipeline(a, this.userDataReader, this._userDataWriter, e);
}
};
class PipelineSource {
/**
* @internal
* @private
* @param databaseId
* @param userDataReader
* @param _createPipeline
*/
constructor(a, e,
/**
* @internal
* @private
*/
s) {
this.databaseId = a, this.userDataReader = e, this._createPipeline = s;
}
collection(e) {
// Process argument union(s) from method overloads
const s = a(e) || z(e) ? {} : e, t = a(e) || z(e) ? e : e.collection;
// Validate that a user provided reference is for the same Firestore DB
z(t) && this._validateReference(t);
// Convert user land convenience types to internal types
const n = a(t) ? t : t.path, i = new H(n, s), r = this.userDataReader.createContext(3 /* UserDataSource.Argument */ , "collection");
// Create stage object
// Add stage to the pipeline
return i._readUserData(r), this._createPipeline([ i ]);
}
collectionGroup(e) {
// Process argument union(s) from method overloads
let s, t;
a(e) ? (s = e, t = {}) : ({collectionId: s, ...t} = e);
// Create stage object
const n = new J(s, t), i = this.userDataReader.createContext(3 /* UserDataSource.Argument */ , "collectionGroup");
// User data must be read in the context of the API method to
// provide contextual errors
// Add stage to the pipeline
return n._readUserData(i), this._createPipeline([ n ]);
}
database(a) {
// Create stage object
const e = new Q(
// Process argument union(s) from method overloads
a = a ?? {}), s = this.userDataReader.createContext(3 /* UserDataSource.Argument */ , "database");
// User data must be read in the context of the API method to
// provide contextual errors
// Add stage to the pipeline
return e._readUserData(s), this._createPipeline([ e ]);
}
documents(e) {
// Process argument union(s) from method overloads
let s, t;
Array.isArray(e) ? (t = e, s = {}) : ({docs: t, ...s} = e),
// Validate that all user provided references are for the same Firestore DB
t.filter((a => a instanceof X)).forEach((a => this._validateReference(a)));
// Convert user land convenience types to internal types
const n = t.map((e => a(e) ? e : e.path)), i = new Y(n, s), r = this.userDataReader.createContext(3 /* UserDataSource.Argument */ , "documents");
// Create stage object
// Add stage to the pipeline
return i._readUserData(r), this._createPipeline([ i ]);
}
/**
* Convert the given Query into an equivalent Pipeline.
*
* @param query - A Query to be converted into a Pipeline.
*
* @throws `FirestoreError` Thrown if any of the provided DocumentReferences target a different project or database than the pipeline.
*/ createFrom(a) {
return this._createPipeline(Z(a._query, a.firestore));
}
_validateReference(a) {
const e = a.firestore._databaseId;
if (!e.isEqual(this.databaseId)) throw new s(aa.INVALID_ARGUMENT, `Invalid ${a instanceof ea ? "CollectionReference" : "DocumentReference"}. The project ID ("${e.projectId}") or the database ("${e.database}") does not match the project ID ("${this.databaseId.projectId}") and database ("${this.databaseId.database}") of the target database of this Pipeline.`);
}
}
function subcollection(e) {
// Process argument union(s) from method overloads
let s, t;
a(e) ? (s = e, t = {}) : ({path: s, ...t} = e);
// Create stage object
const n = new sa(s, t);
return new fa(void 0, void 0, void 0, [ n ]);
}
/**
* @license
* Copyright 2024 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/**
* Represents the results of a Firestore pipeline execution.
*
* A `PipelineSnapshot` contains zero or more {@link @firebase/firestore/pipelines#PipelineResult} objects
* representing the documents returned by a pipeline query. It provides methods
* to iterate over the documents and access metadata about the query results.
*
* @example
* ```typescript
* const snapshot: PipelineSnapshot = await firestore
* .pipeline()
* .collection('myCollection')
* .where(field('value').greaterThan(10))
* .execute();
*
* snapshot.results.forEach(doc => {
* console.log(doc.id, '=>', doc.data());
* });
* ```
*/ class PipelineSnapshot {
constructor(a, e, s) {
this._pipeline = a, this._executionTime = s, this._results = e;
}
/**
* An array of all the results in the `PipelineSnapshot`.
*/ get results() {
return this._results;
}
/**
* The time at which the pipeline producing this result is executed.
*
* @readonly
*
*/ get executionTime() {
if (void 0 === this._executionTime) throw new Error("'executionTime' is expected to exist, but it is undefined");
return this._executionTime;
}
}
/**
*
* A PipelineResult contains data read from a Firestore Pipeline. The data can be extracted with the
* {@link @firebase/firestore/pipelines#PipelineResult.data} or {@link @firebase/firestore/pipelines#PipelineResult.(get:1)} methods.
*
* <p>If the PipelineResult represents a non-document result, `ref` will return a undefined
* value.
*/ class PipelineResult {
/**
* @private
* @internal
*
* @param userDataWriter - The serializer used to encode/decode protobuf.
* @param fields - The fields of the Firestore `Document` Protobuf backing
* this document.
* @param ref - The reference to the document.
* @param createTime - The time when the document was created if the result is a document, undefined otherwise.
* @param updateTime - The time when the document was last updated if the result is a document, undefined otherwise.
* @param metadata
* @param listenOptions
*/
constructor(a, e, s, t, n, i, r) {
this._ref = s, this._userDataWriter = a, this._createTime = t, this._updateTime = n,
this._fields = e, this._metadata = i, this._listenOptions = r;
}
/**
* @private
* @internal
* @param userDataWriter
* @param doc
* @param ref
* @param metadata
* @param listenOptions
*/ static fromDocument(a, e, s, t, n) {
return new PipelineResult(a, e.data, s, e.createTime.toTimestamp(), e.version.toTimestamp(), t, n);
}
/**
* The reference of the document, if it is a document; otherwise `undefined`.
*/ get ref() {
return this._ref;
}
/**
* The ID of the document for which this PipelineResult contains data, if it is a document; otherwise `undefined`.
*
* @readonly
*
*/ get id() {
return this._ref?.id;
}
/**
* The time the document was created. Undefined if this result is not a document.
*
* @readonly
*/ get createTime() {
return this._createTime;
}
/**
* The time the document was last updated (at the time the snapshot was
* generated). Undefined if this result is not a document.
*
* @readonly
*/ get updateTime() {
return this._updateTime;
}
/**
* Retrieves all fields in the result as an object.
*
* @returns An object containing all fields in the document or
* 'undefined' if the document doesn't exist.
*
* @example
* ```
* let p = firestore.pipeline().collection('col');
*
* p.execute().then(results => {
* let data = results[0].data();
* console.log(`Retrieved data: ${JSON.stringify(data)}`);
* });
* ```
*/ data() {
return this._userDataWriter.convertValue(this._fields.value, this._listenOptions?.serverTimestampBehavior);
}
/**
* @internal
* @private
*
* Retrieves all fields in the result as a proto value.
*
* @returns An `Object` containing all fields in the result.
*/ _fieldsProto() {
// Return a cloned value to prevent manipulation of the Snapshot's data
return this._fields.clone().value.mapValue.fields;
}
/**
* Retrieves the field specified by `field`.
*
* @param field - The field path
* (e.g. 'foo' or 'foo.bar') to a specific field.
* @returns The data at the specified field location or `undefined` if no
* such field exists.
*
* @example
* ```
* let p = firestore.pipeline().collection('col');
*
* p.execute().then(results => {
* let field = results[0].get('a.b');
* console.log(`Retrieved field value: ${field}`);
* });
* ```
*/
// We deliberately use `any` in the external API to not impose type-checking
// on end users.
// eslint-disable-next-line @typescript-eslint/no-explicit-any
get(a) {
if (void 0 === this._fields) return;
g(a) && (a = a.fieldName);
const e = this._fields.field(ta("DocumentSnapshot.get", a));
return null !== e ? this._userDataWriter.convertValue(e, this._listenOptions?.serverTimestampBehavior) : void 0;
}
}
/**
* Test equality of two PipelineResults.
* @param left - First PipelineResult to compare.
* @param right - Second PipelineResult to compare.
*/ function pipelineResultEqual(a, e) {
return a === e || na(a._ref, e._ref, ia) && na(a._fields, e._fields, ((a, e) => a.isEqual(e)));
}
/**
* @license
* Copyright 2024 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/ class Pipeline extends fa {
/**
* @internal
* @private
* @param db
* @param userDataReader
* @param userDataWriter
* @param stages
* @param converter
* @protected
*/
newPipeline(a, e) {
return new Pipeline(a, this.userDataReader, this._userDataWriter, e);
}
}
/**
* @license
* Copyright 2024 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/ function execute(a) {
const e = a instanceof fa ? {
pipeline: a
} : a, {pipeline: t, rawOptions: n, ...i} = e;
if (!t._db) return Promise.reject(new s(aa.FAILED_PRECONDITION, "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."));
const r = ra(t._db, da), o = oa(r), c = la(r).createContext(3 /* UserDataSource.Argument */ , "execute");
t._readUserData(c);
const l = new ua(r), u = new pa(i, n);
u._readUserData(c);
const p = new ma(t, u);
return ha(o, p).then((a => {
// Get the execution time from the first result.
// firestoreClientExecutePipeline returns at least one PipelineStreamElement
// even if the returned document set is empty.
const e = a.length > 0 ? a[0].executionTime?.toTimestamp() : void 0, s = a.filter((a => !!a.fields)).map((a => new PipelineResult(l, a.fields, a.key?.path ? new X(r, null, a.key) : void 0, a.createTime?.toTimestamp(), a.updateTime?.toTimestamp())));
return new PipelineSnapshot(t, s, e);
}));
}
/**
* @beta
* Creates and returns a new PipelineSource, which allows specifying the source stage of a {@link @firebase/firestore/pipelines#Pipeline}.
*
* @example
* ```typescript
* let myPipeline: Pipeline = firestore.pipeline().collection('books');
* ```
*/
// Augment the Firestore class with the pipeline() factory method
da.prototype.pipeline = function() {
const a = la(this);
return new PipelineSource(this._databaseId, a, (e => new Pipeline(this, a, new ua(this), e)));
};
export { k as AggregateFunction, c as AliasedExpression, t as Expression, o as Field, x as FunctionExpression, Pipeline, PipelineResult, PipelineSnapshot, PipelineSource, b as array, i as constant, q as documentMatches, execute, e as field, h as map, pipelineResultEqual, subcollection };
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