יצירת לוחות לידרבורד באמצעות Firestore

git clone https://github.com/FirebaseExtended/firestore-leaderboards-codelab.git

async function createScore(score, playerID, firestore) {
  return firestore.collection("scores").doc().create({
    user: playerID,
    score: score,
  });
}

async function updateScore(playerID, newScore, firestore) {
  const playerSnapshot = await firestore.collection("scores")
      .where("user", "==", playerID).get();
  if (playerSnapshot.size !== 1) {
    throw Error(`User not found in leaderboard: ${playerID}`);
  }
  const player = playerSnapshot.docs[0];
  const doc = firestore.doc(player.id);
  return doc.update({
    score: newScore,
  });
}

async function readRank(playerID, firestore) {
  const scores = await firestore.collection("scores")
      .orderBy("score", "desc").get();
  const player = `${playerID}`;
  let rank = 1;
  for (const doc of scores.docs) {
    const user = `${doc.get("user")}`;
    if (user === player) {
      return {
        user: player,
        rank: rank,
        score: doc.get("score"),
      };
    }
    rank++;
  }
  // No user found
  throw Error(`User not found in leaderboard: ${playerID}`);
}

firebase deploy --only functions

leaderboard.addScores(); // Results may take some time to appear.

leaderboard.addScore(999, 11); // You can make up a score (second argument) here.

leaderboard.getRank(999);
leaderboard.updateScore(999, 0);
leaderboard.getRank(999); // we should be last place now (11)

// Also add this to the top of your file
const admin = require("firebase-admin");

exports.scheduledFunctionCrontab = functions.pubsub.schedule("0 2 * * *")
    // Schedule this when most of your users are offline to avoid
    // database spikiness.
    .timeZone("America/Los_Angeles")
    .onRun((context) => {
      const scores = admin.firestore().collection("scores");
      scores.orderBy("score", "desc").get().then((snapshot) => {
        let rank = 1;
        const writes = [];
        for (const docSnapshot of snapshot.docs) {
          const docReference = scores.doc(docSnapshot.id);
          writes.push(docReference.set({rank: rank}, admin.firestore.SetOptions.merge()));
          rank++;
        }
        Promise.all(writes).then((result) => {
          console.log(`Writes completed with results: ${result}`);
        });
      });
      return null;
    });

async function readRank(playerID, firestore) {
  const scores = firestore.collection("scores");
  const playerSnapshot = await scores
      .where("user", "==", playerID).get();
  if (playerSnapshot.size === 0) {
    throw Error(`User not found in leaderboard: ${playerID}`);
  }

  const player = playerSnapshot.docs[0];
  if (player.get("rank") === undefined) {
    // This score was added before our scheduled function could run,
    // but this shouldn't be treated as an error
    return {
    user: playerID,
    rank: null,
    score: player.get("score"),
  };
  }

  return {
    user: playerID,
    rank: player.get("rank"),
    score: player.get("score"),
  };
}

async function createScore(playerID, score, firestore) {
  /**
   * This function assumes a minimum score of 0 and that value
   * is between min and max.
   * Returns the expected size of a bucket for a given score
   * so that bucket sizes stay constant, to avoid expensive
   * re-bucketing.
   * @param {number} value The new score.
   * @param {number} min The min of the previous range.
   * @param {number} max The max of the previous range. Must be greater than
   *     min.
   * @return {Object<string, number>} Returns an object containing the new min
   *     and max.
   */
  function bucket(value, min, max) {
    const bucketSize = (max - min) / 3;
    const bucketMin = Math.floor(value / bucketSize) * bucketSize;
    const bucketMax = bucketMin + bucketSize;
    return {min: bucketMin, max: bucketMax};
  }

  /**
   * A function used to store pending writes until all reads within a
   * transaction have completed.
   *
   * @callback PendingWrite
   * @param {admin.firestore.Transaction} transaction The transaction
   *     to be used for writes.
   * @return {void}
   */

  /**
   * Recursively searches for the node to write the score to,
   * then writes the score and updates any counters along the way.
   * @param {number} id The user associated with the score.
   * @param {number} value The new score.
   * @param {admin.firestore.CollectionReference} coll The collection this
   *     value should be written to.
   * @param {Object<string, number>} range An object with properties min and
   *     max defining the range this score should be in. Ranges cannot overlap
   *     without causing problems. Use the bucket function above to determine a
   *     root range from constant values to ensure consistency.
   * @param {admin.firestore.Transaction} transaction The transaction used to
   *     ensure consistency during tree updates.
   * @param {Array<PendingWrite>} pendingWrites A series of writes that should
   *     occur once all reads within a transaction have completed.
   * @return {void} Write error/success is handled via the transaction object.
   */
  async function writeScoreToCollection(
      id, value, coll, range, transaction, pendingWrites) {
    const snapshot = await transaction.get(coll);
    if (snapshot.empty) {
      // This is the first score to be inserted into this node.
      for (const write of pendingWrites) {
        write(transaction);
      }
      const docRef = coll.doc();
      transaction.create(docRef, {exact: {score: value, user: id}});
      return;
    }

    const min = range.min;
    const max = range.max;

    for (const node of snapshot.docs) {
      const data = node.data();
      if (data.exact !== undefined) {
        // This node held an exact score.
        const newRange = bucket(value, min, max);
        const tempRange = bucket(data.exact.score, min, max);

        if (newRange.min === tempRange.min &&
          newRange.max === tempRange.max) {
          // The scores belong in the same range, so we need to "demote" both
          // to a lower level of the tree and convert this node to a range.
          const rangeData = {
            range: newRange,
            count: 2,
          };
          for (const write of pendingWrites) {
            write(transaction);
          }
          const docReference = node.ref;
          transaction.set(docReference, rangeData);
          transaction.create(docReference.collection("scores").doc(), data);
          transaction.create(
              docReference.collection("scores").doc(),
              {exact: {score: value, user: id}},
          );
          return;
        } else {
          // The scores are in different ranges. Continue and try to find a
          // range that fits this score.
          continue;
        }
      }

      if (data.range.min <= value && data.range.max > value) {
        // The score belongs to this range that may have subvalues.
        // Increment the range's count in pendingWrites, since
        // subsequent recursion may incur more reads.
        const docReference = node.ref;
        const newCount = node.get("count") + 1;
        pendingWrites.push((t) => {
          t.update(docReference, {count: newCount});
        });
        const newRange = bucket(value, min, max);
        return writeScoreToCollection(
            id,
            value,
            docReference.collection("scores"),
            newRange,
            transaction,
            pendingWrites,
        );
      }
    }

    // No appropriate range was found, create an `exact` value.
    transaction.create(coll.doc(), {exact: {score: value, user: id}});
  }

  const scores = firestore.collection("scores");
  const players = firestore.collection("players");
  return firestore.runTransaction((transaction) => {
    return writeScoreToCollection(
        playerID, score, scores, {min: 0, max: 1000}, transaction, [],
    ).then(() => {
      transaction.create(players.doc(), {
        user: playerID,
        score: score,
      });
    });
  });
}

leaderboard.addScores();

scores
  - document
    range: 0-333.33
    count: 2
    scores:
      - document
        exact:
          score: 18
          user: 1
      - document
        exact:
          score: 22
          user: 2

async function readRank(playerID, firestore) {
  const players = await firestore.collection("players")
      .where("user", "==", playerID).get();
  if (players.empty) {
    throw Error(`Player not found in leaderboard: ${playerID}`);
  }
  if (players.size > 1) {
    console.info(`Multiple scores with player ${playerID}, fetching first`);
  }
  const player = players.docs[0].data();
  const score = player.score;

  const scores = firestore.collection("scores");

  /**
   * Recursively finds a player score in a collection.
   * @param {string} id The player's ID, since some players may be tied.
   * @param {number} value The player's score.
   * @param {admin.firestore.CollectionReference} coll The collection to
   *     search.
   * @param {number} currentCount The current count of players ahead of the
   *     player.
   * @return {Promise<number>} The rank of the player (the number of players
   *     ahead of them plus one).
   */
  async function findPlayerScoreInCollection(id, value, coll, currentCount) {
    const snapshot = await coll.get();
    for (const doc of snapshot.docs) {
      if (doc.get("exact") !== undefined) {
        // This is an exact score. If it matches the score we're looking
        // for, return. Otherwise, check if it should be counted.
        const exact = doc.data().exact;
        if (exact.score === value) {
          if (exact.user === id) {
            // Score found.
            return currentCount + 1;
          } else {
            // The player is tied with another. In this case, don't increment
            // the count.
            continue;
          }
        } else if (exact.score > value) {
          // Increment count
          currentCount++;
          continue;
        } else {
          // Do nothing
          continue;
        }
      } else {
        // This is a range. If it matches the score we're looking for,
        // search the range recursively, otherwise, check if it should be
        // counted.
        const range = doc.data().range;
        const count = doc.get("count");
        if (range.min > value) {
          // The range is greater than the score, so add it to the rank
          // count.
          currentCount += count;
          continue;
        } else if (range.max <= value) {
          // do nothing
          continue;
        } else {
          const subcollection = doc.ref.collection("scores");
          return findPlayerScoreInCollection(
              id,
              value,
              subcollection,
              currentCount,
          );
        }
      }
    }
    // There was no range containing the score.
    throw Error(`Range not found for score: ${value}`);
  }

  const rank = await findPlayerScoreInCollection(playerID, score, scores, 0);
  return {
    user: playerID,
    rank: rank,
    score: score,
  };
}

// Add this line to the top of your file.
const admin = require("firebase-admin");

// Implement this method (again).
async function createScore(playerID, score, firestore) {
  const scores = await firestore.collection("scores").get();
  if (scores.empty) {
    // Create the buckets since they don't exist yet.
    // In a real app, don't do this in your write function. Do it once
    // manually and then keep the buckets in your database forever.
    for (let i = 0; i < 10; i++) {
      const min = i * 100;
      const max = (i + 1) * 100;
      const data = {
        range: {
          min: min,
          max: max,
        },
        count: 0,
      };
      await firestore.collection("scores").doc().create(data);
    }
    throw Error("Database not initialized");
  }

  const buckets = await firestore.collection("scores")
      .where("range.min", "<=", score).get();
  for (const bucket of buckets.docs) {
    const range = bucket.get("range");
    if (score < range.max) {
      const writeBatch = firestore.batch();
      const playerDoc = firestore.collection("players").doc();
      writeBatch.create(playerDoc, {
        user: playerID,
        score: score,
      });
      writeBatch.update(
          bucket.ref,
          {count: admin.firestore.FieldValue.increment(1)},
      );
      const scoreDoc = bucket.ref.collection("scores").doc();
      writeBatch.create(scoreDoc, {
        user: playerID,
        score: score,
      });
      return writeBatch.commit();
    }
  }
}

leaderboard.addScore(999, 0); // The params aren't important here.

leaderboard.addScores();

async function readRank(playerID, firestore) {
  const players = await firestore.collection("players")
      .where("user", "==", playerID).get();
  if (players.empty) {
    throw Error(`Player not found in leaderboard: ${playerID}`);
  }
  if (players.size > 1) {
    console.info(`Multiple scores with player ${playerID}, fetching first`);
  }
  const player = players.docs[0].data();
  const score = player.score;

  const scores = await firestore.collection("scores").get();
  let currentCount = 1; // Player is rank 1 if there's 0 better players.
  let interp = -1;
  for (const bucket of scores.docs) {
    const range = bucket.get("range");
    const count = bucket.get("count");
    if (score < range.min) {
      currentCount += count;
    } else if (score >= range.max) {
      // do nothing
    } else {
      // interpolate where the user is in this bucket based on their score.
      const relativePosition = (score - range.min) / (range.max - range.min);
      interp = Math.round(count - (count * relativePosition));
    }
  }

  if (interp === -1) {
    // Didn't find a correct bucket
    throw Error(`Score out of bounds: ${score}`);
  }

  return {
    user: playerID,
    rank: currentCount + interp,
    score: score,
  };
}