Javascript 嵌套承诺中超过Firebase云函数截止日期错误
我有一个firebase云函数无法完成执行。我怀疑我的代码可以显著改进，但我不太确定如何改进 我已经尽可能具体地进行了查询，试图减少迭代所需的文档数量，但这并没有解决问题 我得到了一个超过截止日期的错误，我怀疑这是由于我正在迭代这么多文档并试图更新它们 我在谷歌云控制台中增加了超时（9分钟）和内存分配（2GB），但这也没有帮助Javascript 嵌套承诺中超过Firebase云函数截止日期错误,javascript,node.js,firebase,google-cloud-platform,Javascript,Node.js,Firebase,Google Cloud Platform,我有一个firebase云函数无法完成执行。我怀疑我的代码可以显著改进，但我不太确定如何改进 我已经尽可能具体地进行了查询，试图减少迭代所需的文档数量，但这并没有解决问题 我得到了一个超过截止日期的错误，我怀疑这是由于我正在迭代这么多文档并试图更新它们 我在谷歌云控制台中增加了超时（9分钟）和内存分配（2GB），但这也没有帮助 exports.updatePollWinner = functions.runWith(runtimeOpts).firestore.document('trigger
exports.updatePollWinner = functions.runWith(runtimeOpts).firestore.document('triggerAccuracyCalculation/{id}').onCreate(trigger => {
const week = trigger.get('week');
const scoringTags = ["STD", "0.25PPR", "0.5PPR", "PPR", "0.10PPC", "0.25PPC", "0.5PPC", "4PTPASS", "5PTPASS", "6PTPASS", "-2INT", "TEPREMIUM"]
let winningChoiceIds = [];
let totalPollIds = [];
return db.collection("polls").where("sport", "==", 1).where("week", "==", week).where("pollType", "==", "WDIS").get()
.then((querySnapshot) => {
console.log("A");
querySnapshot.forEach((doc) => {
totalPollIds.push(doc.id);
let pollData = doc.data();
// extract relevant scoring tags
let tags = pollData.tags.filter(tag => scoringTags.includes(tag.code)).map(tag => tag.code);
// if no scoring setting is tagged, then use STD - determine what STD is
// extract player from each option
let winner = {score: 0, choice: {}, choiceId: null};
let cnt = 0;
pollData.choices.forEach((choice) => {
let choiceId = choice.id
let mappedChoices = choice.players.map(player => {
return { displayName: player.displayName, playerId: player.playerId, position: player.position, team: player.team }
});
// ToDo: What happens if someone posts a poll with two players in one option? This poll should be ignoree from accuracy calculation
// ignmore if option has more than one player
// if (mappedChoices.length > 1) return;
const player = mappedChoices[0]
// We can't score defense
if (player.position === "DEF") {
return;
}
const playerId = player.playerId;
// Make FFN API call to retrieve stats for that player in that weekconst statsEndpoint = `https://www.fantasyfootballnerd.com/service/player/json/${functions.config().ffnerd.key}${req.url}`;
const statsEndpoint = `https://www.fantasyfootballnerd.com/service/player/json/${functions.config().ffnerd.key}/${playerId}`;
const json = {"Stats": {"2019": ""}, "Player": {}};
https.get(statsEndpoint, (resp) => {
let data = '';
resp.on('data', (chunk) => {
data += chunk;
});
resp.on('end', () => {
const weekString = week.toString();
const fetchedStats = JSON.parse(data).Stats
if (!fetchedStats) return;
const response = fetchedStats["2019"]
if (!response) return;
// TODO SCORE KICKERS AND DEFENSES
const stats = response[weekString];
let score = 0;
stats["recYards"] ? score += parseInt(stats["recYards"]) / 10 : false
stats["recTD"] ? score += parseInt(stats["recTD"]) * 6 : false
stats["rushYards"] ? score += parseInt(stats["rushYards"]) / 10 : false
stats["rushTD"] ? score += parseInt(stats["rushTD"]) * 6 : false
stats["xpMade"] ? score += parseInt(stats["xpMade"]) : false
stats["fgMade"] ? score += parseInt(stats["fgMade"]) * 3 : false
stats["kickoffRet"] ? score += parseInt(stats["kickoffRet"]) / 10 : false
stats["SackYards"] ? score -= parseInt(stats["SackYards"]) / 10 : false
stats["fumbleLost"] ? score -= parseInt(stats["fumbleLost"]) * 2 : false
// Determine winner
// ToDo: handle ties
if (score > winner.score) {
winner.score = score;
winner.choiceId = choiceId;
winner.choice = choice;
}
if (cnt>=pollData.choices.length-1){
// Save player object on the poll Document (include choice ID)
winningChoiceIds.push(winner.choiceId);
const pollDoc = db.doc(`polls/${doc.id}`);
pollDoc.update({winner: winner});
}
cnt++;
});
}).on("error", (err) => {
console.log("Error: ", err.message);
});
});
});
console.log("B");
return false;
}).then(() => {
console.log("C");
let dateToQueryAfter = new Date(new Date("08/22/19").setHours(0,0,0,0))
return db.collection("users").where("recentVote", ">", dateToQueryAfter).get()
})
.then((querySnapshot) => {
console.log("D");
const promises = [];
querySnapshot.forEach((doc) => {
const p = db.collection("votes").where("uid", "==", doc.id).where("week", "==", week).where("pollType", "==", "WDIS").get()
promises.push(p)
});
return Promise.all(promises)
})
.then((querySnapshots) => {
console.log("E");
querySnapshots.forEach((querySnapshot) => {
if (querySnapshot.docs.length <= 0) return;
const uid = querySnapshot.docs[0].data().uid
const retrieveUserDoc = db.doc(`users/${uid}`);
let correctVotes = 0;
let cnt = 0;
let totalVotes = 0;
let pollVoteIds = [];
let pollVoteIdsCorrect = [];
querySnapshot.docs.forEach((doc) => {
const voteData = doc.data();
if (totalPollIds.includes(voteData.poll)) {
pollVoteIds.push(voteData.poll)
totalVotes++;
if (winningChoiceIds.includes(voteData.choice)) {
pollVoteIdsCorrect.push(voteData.poll)
correctVotes++;
}
}
if (cnt>=querySnapshot.size-1){
console.log("Updating user ID: ", uid);
retrieveUserDoc.update({
['accuracyWeeks.week'+week]: true,
['accuracy.week'+week]: {
totalVotes: totalVotes,
correct: correctVotes,
accuracy: correctVotes/totalVotes,
correctVoteIds: pollVoteIdsCorrect,
totalVoteIds: pollVoteIds
}
});
}
cnt++;
})
});
console.log("F");
return false;
})
.catch((error) => {
console.log("Error getting documents: ", error);
});
});