-
-
Notifications
You must be signed in to change notification settings - Fork 98
/
mentions.ts
434 lines (377 loc) · 10.8 KB
/
mentions.ts
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
import pMap from 'p-map'
import urlRegex from 'url-regex'
import * as types from './types'
import {
defaultMaxNumMentionsToProcessPerBatch,
priorityUsersList,
tweetIgnoreList,
twitterBotHandle,
twitterBotHandleL,
twitterBotUserId
} from './config'
import { keyv } from './keyv'
import { maxTwitterId, minTwitterId, tweetComparator } from './twitter'
import { getTwitterUserIdMentions } from './twitter-mentions'
import { getTweetUrl, pick } from './utils'
const rUrl = urlRegex()
/**
* Fetches new unanswered mentions, preprocesses them, and sorts them by a
* priority heuristic.
*/
export async function getTweetMentionsBatch({
noCache,
forceReply,
debugTweet,
resolveAllMentions,
twitter,
sinceMentionId,
maxNumMentionsToProcess = defaultMaxNumMentionsToProcessPerBatch
}: {
noCache?: boolean
forceReply?: boolean
debugTweet?: string
resolveAllMentions?: boolean
twitter: types.TwitterClient
sinceMentionId?: string
maxNumMentionsToProcess?: number
}): Promise<types.TweetMentionBatch> {
const batch: types.TweetMentionBatch = {
mentions: [],
users: {},
tweets: {},
minSinceMentionId: null,
sinceMentionId: sinceMentionId,
numMentionsPostponed: 0
}
function updateSinceMentionId(tweetId: string) {
batch.sinceMentionId = maxTwitterId(batch.sinceMentionId, tweetId)
}
await populateTweetMentionsBatch({
batch,
noCache,
debugTweet,
resolveAllMentions,
twitter
})
const numMentionsFetched = batch.mentions.length
// debugTweet.split(',').
// Filter out invalid mentions
batch.mentions = batch.mentions.filter((mention) =>
isValidMention(mention, {
batch,
forceReply,
updateSinceMentionId
})
)
const numMentionsValid = batch.mentions.length
// Sort the oldest mentions first
batch.mentions = batch.mentions.sort(tweetComparator)
// Filter any mentions which we've already replied to
if (!forceReply) {
batch.mentions = (
await pMap(
batch.mentions,
async (mention) => {
const res = await keyv.get(mention.id)
if (res) {
updateSinceMentionId(mention.id)
return null
} else {
return mention
}
},
{
concurrency: 8
}
)
).filter(Boolean)
}
const numMentionsCandidates = batch.mentions.length
// Score every valid mention candidate according to a heuristic depending on
// how important it is to respond to. Some factors taken into consideration:
// - top-level tweets are ranked higher than replies
// - accounts with lots of followers are prioritized because they have a
// larger surface area for exposure
// - a fixed set of "priority users" is prioritized highest for testing
// purposes; this includes me and my test accounts
// - older tweets that we haven't responded to yet get a small boost
for (let i = 0; i < numMentionsCandidates; ++i) {
const mention = batch.mentions[i]
let score = (0.5 * (numMentionsCandidates - i)) / numMentionsCandidates
const repliedToTweetRef = mention.referenced_tweets?.find(
(t) => t.type === 'replied_to'
)
const isReply = !!repliedToTweetRef
mention.isReply = isReply
if (isReply) {
score -= 3
}
if (priorityUsersList.has(mention.author_id)) {
score += 10000
}
const mentionUser = batch.users[mention.author_id]
if (mentionUser) {
mention.promptUrl = getTweetUrl({
username: mentionUser.username,
id: mention.id
})
const numFollowers = mentionUser?.public_metrics?.followers_count
if (numFollowers) {
mention.numFollowers = numFollowers
score += numFollowers / 1000
}
}
mention.priorityScore = score
}
// Sort mentions by relative priority, with the highest priority tweets first
batch.mentions.sort((a, b) => b.priorityScore - a.priorityScore)
// console.log('SORTED (first 50)', batch.mentions.slice(0, 50))
// Loop through all of the mentions we won't be processing in this batch
for (let i = maxNumMentionsToProcess; i < numMentionsCandidates; ++i) {
const mention = batch.mentions[i]
// make sure we don't skip past these mentions on the next batch
batch.minSinceMentionId = minTwitterId(batch.minSinceMentionId, mention.id)
}
batch.numMentionsPostponed = Math.max(
0,
numMentionsCandidates - maxNumMentionsToProcess
)
// Limit the number of mentions to process in this batch
batch.mentions = batch.mentions.slice(0, maxNumMentionsToProcess)
const numMentionsInBatch = batch.mentions.length
console.log(`fetched mentions batch`, {
numMentionsFetched,
numMentionsValid,
numMentionsCandidates,
numMentionsInBatch,
numMentionsPostponed: batch.numMentionsPostponed
})
return batch
}
export async function populateTweetMentionsBatch({
batch,
noCache,
debugTweet,
resolveAllMentions,
twitter
}: {
batch: types.TweetMentionBatch
noCache?: boolean
debugTweet?: string
resolveAllMentions?: boolean
twitter: types.TwitterClient
}) {
console.log('fetching mentions since', batch.sinceMentionId || 'forever')
const tweetQueryOptions: types.TweetsQueryOptions = {
expansions: ['author_id', 'in_reply_to_user_id', 'referenced_tweets.id'],
'tweet.fields': [
'created_at',
'public_metrics',
'conversation_id',
'in_reply_to_user_id',
'referenced_tweets'
],
'user.fields': ['profile_image_url', 'public_metrics']
}
if (debugTweet) {
const ids = debugTweet.split(',').map((id) => id.trim())
const res = await twitter.tweets.findTweetsById({
...tweetQueryOptions,
ids: ids
})
// console.log('debugTweet', JSON.stringify(res, null, 2))
batch.mentions = batch.mentions.concat(res.data)
if (res.includes?.users?.length) {
for (const user of res.includes.users) {
batch.users[user.id] = user
}
}
if (res.includes?.tweets?.length) {
for (const tweet of res.includes.tweets) {
batch.tweets[tweet.id] = tweet
}
}
} else {
const result = await getTwitterUserIdMentions(
twitterBotUserId,
{
...tweetQueryOptions,
max_results: 100,
since_id: batch.sinceMentionId
},
{
twitter,
noCache,
resolveAllMentions
}
)
batch.mentions = result.mentions
batch.users = result.users
batch.tweets = result.tweets
}
}
/**
* Converts a Tweet text string to a prompt ready for input to ChatGPT.
*
* Strips usernames at the front of a tweet and URLs (like for embedding images).
*/
export function getPrompt(text?: string): string {
// strip usernames
let prompt = text
.replace(twitterBotHandleL, '')
.replace(twitterBotHandle, '')
.trim()
.replace(/^\s*@[a-zA-Z0-9_]+/g, '')
.replace(/^\s*@[a-zA-Z0-9_]+/g, '')
.replace(/^\s*@[a-zA-Z0-9_]+/g, '')
.replace(/^\s*@[a-zA-Z0-9_]+/g, '')
.replace(rUrl, '')
.trim()
.replace(/^,\s*/, '')
.trim()
// fix bug in plaintext version for code blocks
// TODO: this should go in the response, not the prompt
// prompt = prompt.replace('\n\nCopy code\n\n', '\n\n')
return prompt
}
/**
* Returns info on the mentions at the start of a tweet.
*
* @TODO Add unit tests for this
*/
export function getNumMentionsInText(
text?: string,
{ isReply }: { isReply?: boolean } = {}
) {
const prefixText = isReply
? (text.match(/^(\@[a-zA-Z0-9_]+\b\s*)+/g) || [])[0]
: text
if (!prefixText) {
return {
usernames: [],
numMentions: 0
}
}
const usernames = (prefixText.match(/\@[a-zA-Z0-9_]+\b/g) || []).map(
(u: string) => u.trim().toLowerCase().replace(',', '')
)
let numMentions = 0
for (const username of usernames) {
if (username === twitterBotHandleL) {
numMentions++
}
}
return {
numMentions,
usernames
}
}
/**
* @returns `true` if the mention is valid to respond to; `false` otherwise
*/
export function isValidMention(
mention: types.TweetMention,
{
batch,
forceReply,
updateSinceMentionId
}: {
batch: types.TweetMentionBatch
forceReply?: boolean
updateSinceMentionId: (tweetId: string) => void
}
): boolean {
if (!mention) {
return false
}
if (tweetIgnoreList.has(mention.id)) {
return false
}
const repliedToTweetRef = mention.referenced_tweets?.find(
(t) => t.type === 'replied_to'
)
const repliedToTweet = repliedToTweetRef
? batch.tweets[repliedToTweetRef.id]
: null
const isReply = !!repliedToTweetRef
if (repliedToTweet) {
repliedToTweet.prompt = getPrompt(repliedToTweet.text)
const subMentions = getNumMentionsInText(repliedToTweet.text, {
isReply: !!repliedToTweet.referenced_tweets?.find(
(t) => t.type === 'replied_to'
)
})
repliedToTweet.numMentions = subMentions.numMentions
}
if (isReply && !repliedToTweet) {
return false
}
let text = mention.text
mention.prompt = getPrompt(text)
if (
mention.prompt.startsWith('(human) ') &&
priorityUsersList.has(mention.author_id)
) {
// ignore tweets where I'm responding to people
return false
}
const { numMentions, usernames } = getNumMentionsInText(text)
if (!mention.prompt) {
if (isReply) {
text = repliedToTweet.text
mention.prompt = repliedToTweet.prompt
}
if (!mention.prompt) {
return false
}
}
const promptL = mention.prompt.toLowerCase()
if (
promptL.includes('too many requests, please slow down') ||
promptL.includes('too many requests in 1 hour. try again later')
) {
// someone is playing w/ the bot...
return false
}
if (
numMentions > 0 &&
(usernames[usernames.length - 1] === twitterBotHandleL ||
(numMentions === 1 && !isReply))
) {
if (
isReply &&
!forceReply &&
(repliedToTweet?.numMentions > numMentions ||
(repliedToTweet?.numMentions === numMentions &&
repliedToTweet?.isReply))
) {
// console.log('ignoring mention 0', mention, {
// repliedToTweet,
// numMentions
// })
updateSinceMentionId(mention.id)
return false
} else if (numMentions === 1) {
// TODO: I don't think this is necessary anymore
// if (isReply && mention.in_reply_to_user_id !== twitterBotUserId) {
// console.log('ignoring mention 1', mention, {
// numMentions
// })
// updateSinceMentionId(mention.id)
// return false
// }
}
} else {
// console.log('ignoring mention 2', pick(mention, 'text', 'id'), {
// numMentions
// })
updateSinceMentionId(mention.id)
return false
}
// console.log(JSON.stringify(mention, null, 2), {
// numMentions,
// repliedToTweet
// })
// console.log(pick(mention, 'id', 'text', 'prompt'), { numMentions })
return true
}