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.env.example Normal file
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# Comma-separated list of users who can use the bot (delete var if you want everyone to be able to use it)
AUTHORIZED_USERS=""
# PDS service URL (optional)
SERVICE="https://bsky.social"
DB_PATH="data/sqlite.db"
GEMINI_MODEL="gemini-2.5-flash"
ADMIN_DID=""
ADMIN_HANDLE=""
DID=""
HANDLE=""
# https://bsky.app/settings/app-passwords
BSKY_PASSWORD=""
# https://aistudio.google.com/apikey
GEMINI_API_KEY=""

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.gitignore vendored Normal file
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# dependencies (bun install)
node_modules
# output
out
dist
*.tgz
# code coverage
coverage
*.lcov
# logs
logs
_.log
report.[0-9]_.[0-9]_.[0-9]_.[0-9]_.json
# dotenv environment variable files
.env
.env.development.local
.env.test.local
.env.production.local
.env.local
# caches
.eslintcache
.cache
*.tsbuildinfo
# IntelliJ based IDEs
.idea
# Finder (MacOS) folder config
.DS_Store
# Database
data

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Dockerfile Normal file
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FROM oven/bun:latest
WORKDIR /app
COPY package.json bun.lock ./
RUN bun install --frozen-lockfile
COPY . .
CMD ["bun", "start"]

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README.md Normal file
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# Aero
A simple Bluesky bot to make sense of the noise, with responses powered by Gemini, similar to Grok. Built with the [@skyware/bot](https://github.com/skyware-js/bot) library.
## How to Use
- Find a post you want to ask about
- Start a conversation by sending a link to the post and your initial query to the [`@aero.indexx.dev`](https://bsky.app/profile/did:plc:brtrdeexwvywvennyptpwcnu) account.
..after a few seconds, you'll get a response to your query!
**For any further queries:**
- You don't need to resend the post link, just send the message like normal. Ever want to switch posts? Just send a new post link and your context window will reset.
- You can ask up to 15 queries per post link, and all messages prior to the new post link are ignored.
All messages are stored in the database just to make the process simpler so I don't have to deal with cursors or accidentally including messages that shouldn't be included in the context window.

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{
"lockfileVersion": 1,
"workspaces": {
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"name": "bsky-echo",
"dependencies": {
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"@google/genai": "^1.11.0",
"@skyware/bot": "^0.3.12",
"@types/js-yaml": "^4.0.9",
"consola": "^3.4.2",
"drizzle-orm": "^0.44.4",
"js-yaml": "^4.1.0",
"zod": "^4.0.14",
},
"devDependencies": {
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"drizzle-kit": "^0.31.4",
},
"peerDependencies": {
"typescript": "^5.8.3",
},
},
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}
}

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import { defineConfig } from "drizzle-kit";
export default defineConfig({
dialect: "sqlite",
schema: "./src/db/schema.ts",
out: "./drizzle",
});

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CREATE TABLE `conversations` (
`id` text NOT NULL,
`did` text NOT NULL,
`post_uri` text NOT NULL,
`revision` text NOT NULL,
`created_at` integer DEFAULT CURRENT_TIMESTAMP NOT NULL,
`last_active` integer DEFAULT CURRENT_TIMESTAMP NOT NULL
);
--> statement-breakpoint
CREATE UNIQUE INDEX `conversations_id_unique` ON `conversations` (`id`);--> statement-breakpoint
CREATE UNIQUE INDEX `conversations_did_unique` ON `conversations` (`did`);--> statement-breakpoint
CREATE TABLE `messages` (
`id` integer PRIMARY KEY AUTOINCREMENT NOT NULL,
`conversation_id` text NOT NULL,
`revision` text NOT NULL,
`did` text NOT NULL,
`post_uri` text NOT NULL,
`text` text NOT NULL,
`created_at` integer DEFAULT CURRENT_TIMESTAMP NOT NULL,
FOREIGN KEY (`conversation_id`) REFERENCES `conversations`(`id`) ON UPDATE no action ON DELETE no action,
FOREIGN KEY (`revision`) REFERENCES `conversations`(`revision`) ON UPDATE no action ON DELETE no action
);

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{
"version": "6",
"dialect": "sqlite",
"id": "77441a9c-7dba-4cc4-b9db-5720373932d8",
"prevId": "00000000-0000-0000-0000-000000000000",
"tables": {
"conversations": {
"name": "conversations",
"columns": {
"id": {
"name": "id",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"did": {
"name": "did",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"post_uri": {
"name": "post_uri",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"revision": {
"name": "revision",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"created_at": {
"name": "created_at",
"type": "integer",
"primaryKey": false,
"notNull": true,
"autoincrement": false,
"default": "CURRENT_TIMESTAMP"
},
"last_active": {
"name": "last_active",
"type": "integer",
"primaryKey": false,
"notNull": true,
"autoincrement": false,
"default": "CURRENT_TIMESTAMP"
}
},
"indexes": {
"conversations_id_unique": {
"name": "conversations_id_unique",
"columns": [
"id"
],
"isUnique": true
},
"conversations_did_unique": {
"name": "conversations_did_unique",
"columns": [
"did"
],
"isUnique": true
}
},
"foreignKeys": {},
"compositePrimaryKeys": {},
"uniqueConstraints": {},
"checkConstraints": {}
},
"messages": {
"name": "messages",
"columns": {
"id": {
"name": "id",
"type": "integer",
"primaryKey": true,
"notNull": true,
"autoincrement": true
},
"conversation_id": {
"name": "conversation_id",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"revision": {
"name": "revision",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"did": {
"name": "did",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"post_uri": {
"name": "post_uri",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"text": {
"name": "text",
"type": "text",
"primaryKey": false,
"notNull": true,
"autoincrement": false
},
"created_at": {
"name": "created_at",
"type": "integer",
"primaryKey": false,
"notNull": true,
"autoincrement": false,
"default": "CURRENT_TIMESTAMP"
}
},
"indexes": {},
"foreignKeys": {
"messages_conversation_id_conversations_id_fk": {
"name": "messages_conversation_id_conversations_id_fk",
"tableFrom": "messages",
"tableTo": "conversations",
"columnsFrom": [
"conversation_id"
],
"columnsTo": [
"id"
],
"onDelete": "no action",
"onUpdate": "no action"
},
"messages_revision_conversations_revision_fk": {
"name": "messages_revision_conversations_revision_fk",
"tableFrom": "messages",
"tableTo": "conversations",
"columnsFrom": [
"revision"
],
"columnsTo": [
"revision"
],
"onDelete": "no action",
"onUpdate": "no action"
}
},
"compositePrimaryKeys": {},
"uniqueConstraints": {},
"checkConstraints": {}
}
},
"views": {},
"enums": {},
"_meta": {
"schemas": {},
"tables": {},
"columns": {}
},
"internal": {
"indexes": {}
}
}

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{
"version": "7",
"dialect": "sqlite",
"entries": [
{
"idx": 0,
"version": "6",
"when": 1761119054619,
"tag": "0000_black_micromax",
"breakpoints": true
}
]
}

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{
"name": "bsky-aero",
"description": "A simple Bluesky bot to make sense of all the noise, with responses powered by Gemini.",
"module": "index.ts",
"type": "module",
"scripts": {
"start": "bun run src/index.ts",
"dev": "bun run --watch src/index.ts",
"db:generate": "bunx drizzle-kit generate --dialect sqlite --schema ./src/db/schema.ts",
"db:migrate": "bun run src/db/migrate.ts"
},
"devDependencies": {
"@types/bun": "^1.2.19",
"drizzle-kit": "^0.31.4"
},
"peerDependencies": {
"typescript": "^5.8.3"
},
"dependencies": {
"@atproto/syntax": "^0.4.0",
"@google/genai": "^1.11.0",
"@skyware/bot": "^0.3.12",
"@types/js-yaml": "^4.0.9",
"consola": "^3.4.2",
"drizzle-orm": "^0.44.4",
"js-yaml": "^4.1.0",
"zod": "^4.0.14"
},
"repository": {
"url": "https://github.com/indexxing/echo"
},
"author": {
"name": "Index",
"email": "contact@indexx.dev"
}
}

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import { GoogleGenAI } from "@google/genai";
import { Bot } from "@skyware/bot";
import { env } from "./env";
export const bot = new Bot({
service: env.SERVICE,
emitChatEvents: true,
});
export const ai = new GoogleGenAI({
apiKey: env.GEMINI_API_KEY,
});
export const UNAUTHORIZED_MESSAGE =
"I can’t make sense of your noise just yet. You’ll need to be whitelisted before I can help.";
export const SUPPORTED_FUNCTION_CALLS = [
"search_posts",
] as const;
export const MAX_GRAPHEMES = 1000;
export const MAX_THREAD_DEPTH = 10;

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import { drizzle } from "drizzle-orm/bun-sqlite";
import { Database } from "bun:sqlite";
import * as schema from "./schema";
import { env } from "../env";
const sqlite = new Database(env.DB_PATH);
export default drizzle(sqlite, { schema });

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import { migrate } from "drizzle-orm/bun-sqlite/migrator";
import { drizzle } from "drizzle-orm/bun-sqlite";
import { Database } from "bun:sqlite";
import { env } from "../env";
const sqlite = new Database(env.DB_PATH);
const db = drizzle(sqlite);
migrate(db, { migrationsFolder: "./drizzle" });

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import { integer, sqliteTable, text } from "drizzle-orm/sqlite-core";
import { sql } from "drizzle-orm";
export const conversations = sqliteTable("conversations", {
id: text().unique().notNull(),
did: text().notNull().unique(),
postUri: text("post_uri").notNull(),
revision: text().notNull(),
createdAt: integer("created_at", { mode: "timestamp" }).default(
sql`CURRENT_TIMESTAMP`,
)
.notNull(),
lastActive: integer("last_active", { mode: "timestamp" }).default(
sql`CURRENT_TIMESTAMP`,
)
.notNull(),
});
export const messages = sqliteTable("messages", {
id: integer().primaryKey({ autoIncrement: true }).notNull(),
conversationId: text("conversation_id").notNull().references(() =>
conversations.id
),
revision: text().notNull().references(() => conversations.revision),
did: text().notNull(),
postUri: text("post_uri").notNull(),
text: text().notNull(),
created_at: integer({ mode: "timestamp" }).default(sql`CURRENT_TIMESTAMP`)
.notNull(),
});

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import { z } from "zod";
const envSchema = z.object({
AUTHORIZED_USERS: z.preprocess(
(val) =>
(typeof val === "string" && val.trim() !== "") ? val.split(",") : null,
z.array(z.string()).nullable().default(null),
),
SERVICE: z.string().default("https://bsky.social"),
DB_PATH: z.string().default("sqlite.db"),
GEMINI_MODEL: z.string().default("gemini-2.5-flash"),
ADMIN_DID: z.string(),
ADMIN_HANDLE: z.string(),
DID: z.string(),
HANDLE: z.string(),
BSKY_PASSWORD: z.string(),
GEMINI_API_KEY: z.string(),
});
export type Env = z.infer<typeof envSchema>;
export const env = envSchema.parse(Bun.env);

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import modelPrompt from "../model/prompt.txt";
import { ChatMessage, Conversation } from "@skyware/bot";
import * as c from "../core";
import * as tools from "../tools";
import consola from "consola";
import { env } from "../env";
import {
exceedsGraphemes,
multipartResponse,
parseConversation,
saveMessage,
} from "../utils/conversation";
const logger = consola.withTag("Message Handler");
type SupportedFunctionCall = typeof c.SUPPORTED_FUNCTION_CALLS[number];
async function generateAIResponse(parsedConversation: string) {
const config = {
model: env.GEMINI_MODEL,
config: {
tools: tools.declarations,
},
};
const contents = [
{
role: "model" as const,
parts: [
{
text: modelPrompt
.replace("{{ handle }}", env.HANDLE),
},
],
},
{
role: "user" as const,
parts: [
{
text:
`Below is the yaml for the current conversation. The last message is the one to respond to. The post is the current one you are meant to be analyzing.
${parsedConversation}`,
},
],
},
];
let inference = await c.ai.models.generateContent({
...config,
contents,
});
logger.log(
`Initial inference took ${inference.usageMetadata?.totalTokenCount} tokens`,
);
if (inference.functionCalls && inference.functionCalls.length > 0) {
const call = inference.functionCalls[0];
if (
call &&
c.SUPPORTED_FUNCTION_CALLS.includes(
call.name as SupportedFunctionCall,
)
) {
logger.log("Function called invoked:", call.name);
const functionResponse = await tools.handler(
call as typeof call & { name: SupportedFunctionCall },
);
logger.log("Function response:", functionResponse);
//@ts-ignore
contents.push(inference.candidates[0]?.content!);
contents.push({
role: "user" as const,
parts: [{
//@ts-ignore
functionResponse: {
name: call.name as string,
response: { res: functionResponse },
},
}],
});
inference = await c.ai.models.generateContent({
...config,
contents,
});
}
}
return inference;
}
async function sendResponse(
conversation: Conversation,
text: string,
): Promise<void> {
if (exceedsGraphemes(text)) {
multipartResponse(conversation, text);
} else {
conversation.sendMessage({
text,
});
}
}
export async function handler(message: ChatMessage): Promise<void> {
const conversation = await message.getConversation();
// ? Conversation should always be able to be found, but just in case:
if (!conversation) {
logger.error("Cannot find conversation");
return;
}
const authorized = env.AUTHORIZED_USERS == null
? true
: env.AUTHORIZED_USERS.includes(message.senderDid as any);
if (!authorized) {
conversation.sendMessage({
text: c.UNAUTHORIZED_MESSAGE,
});
return;
}
logger.success("Found conversation");
conversation.sendMessage({
text: "...",
});
const parsedConversation = await parseConversation(conversation);
logger.info("Parsed conversation: ", parsedConversation);
try {
const inference = await generateAIResponse(parsedConversation);
if (!inference) {
throw new Error("Failed to generate text. Returned undefined.");
}
logger.success("Generated text:", inference.text);
saveMessage(conversation, env.DID, inference.text!);
const responseText = inference.text;
if (responseText) {
await sendResponse(conversation, responseText);
}
} catch (error) {
logger.error("Error in post handler:", error);
await conversation.sendMessage({
text:
"Sorry, I ran into an issue analyzing that post. Please try again.",
});
}
}

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import * as messages from "./handlers/messages";
import { env } from "./env";
import { bot } from "./core";
import consola from "consola";
import { IncomingChatPreference } from "@skyware/bot";
const logger = consola.withTag("Entrypoint");
logger.info("Logging in..");
try {
await bot.login({
identifier: env.HANDLE,
password: env.BSKY_PASSWORD,
});
logger.success(`Logged in as @${env.HANDLE} (${env.DID})`);
await bot.setChatPreference(IncomingChatPreference.All);
bot.on("message", messages.handler);
logger.success("Registered events (reply, mention, quote)");
} catch (e) {
logger.error("Failure to log-in: ", e);
process.exit(1);
}

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You are Aero, a neutral and helpful assistant on Bluesky.
Your job is to give clear, factual, and concise explanations or context about posts users send you.
Handle: {{ handle }}
Guidelines:
* Always stay neutral and avoid opinions or bias.
* Give short, factual background or definitions that help users understand a post.
* If something is unclear, briefly explain possible meanings.
* Keep every reply as concise as possible while staying complete.
* Never exceed 1000 graphemes.
* Do not speculate or include unverified information; say if something is uncertain.
* Write in plain text only. Do not use markdown, symbols, or formatting.

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import type { FunctionCall } from "@google/genai";
import * as search_posts from "./search_posts";
import type { infer as z_infer } from "zod";
const validation_mappings = {
"search_posts": search_posts.validator,
} as const;
export const declarations = [
{ urlContext: {} },
{ googleSearch: {} },
/*
{
functionDeclarations: [
search_posts.definition,
],
},
*/
];
type ToolName = keyof typeof validation_mappings;
export async function handler(call: FunctionCall & { name: ToolName }) {
const parsedArgs = validation_mappings[call.name].parse(call.args);
switch (call.name) {
case "search_posts":
return await search_posts.handler(
parsedArgs as z_infer<typeof search_posts.validator>,
);
}
}

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import { AtUri } from "@atproto/syntax";
import { ai, bot } from "../core";
import { Type } from "@google/genai";
import { env } from "../env";
import z from "zod";
export const definition = {
name: "search_posts",
description: "Searches posts across the entire Bluesky network.",
parameters: {
type: Type.OBJECT,
properties: {
query: {
type: Type.STRING,
description: "The query to search for.",
},
},
required: ["query"],
},
};
export const validator = z.object({
query: z.string(),
});
export async function handler(args: z.infer<typeof validator>) {}

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import {
type ChatMessage,
type Conversation,
graphemeLength,
} from "@skyware/bot";
import * as yaml from "js-yaml";
import db from "../db";
import { conversations, messages } from "../db/schema";
import { and, eq } from "drizzle-orm";
import { env } from "../env";
import { bot, MAX_GRAPHEMES } from "../core";
import { traverseThread } from "./thread";
const resolveDid = (convo: Conversation, did: string) =>
convo.members.find((actor) => actor.did == did)!;
const getUserDid = (convo: Conversation) =>
convo.members.find((actor) => actor.did != env.DID)!;
function generateRevision(bytes = 8) {
const array = new Uint8Array(bytes);
crypto.getRandomValues(array);
return Array.from(array, (b) => b.toString(16).padStart(2, "0")).join("");
}
async function initConvo(convo: Conversation) {
const user = getUserDid(convo);
const initialMessage = (await convo.getMessages()).messages[0] as
| ChatMessage
| undefined;
if (!initialMessage) {
throw new Error("Failed to get initial message of conversation");
}
const postUri = await parseMessagePostUri(initialMessage);
if (!postUri) {
convo.sendMessage({
text:
"Please send a post for me to make sense of the noise for you.",
});
throw new Error("No post reference in initial message.");
}
return await db.transaction(async (tx) => {
const [_convo] = await tx
.insert(conversations)
.values({
id: convo.id,
did: user.did,
postUri,
revision: generateRevision(),
})
.returning();
if (!_convo) {
throw new Error("Error during database transaction");
}
await tx
.insert(messages)
.values({
conversationId: _convo.id,
did: user.did,
postUri,
revision: _convo.revision,
text: initialMessage.text,
});
return _convo!;
});
}
async function getConvo(convoId: string) {
const [convo] = await db
.select()
.from(conversations)
.where(eq(conversations.id, convoId))
.limit(1);
return convo;
}
export async function parseConversation(convo: Conversation) {
let row = await getConvo(convo.id);
if (!row) {
row = await initConvo(convo);
} else {
const latestMessage = (await convo.getMessages())
.messages[0] as ChatMessage;
const postUri = await parseMessagePostUri(latestMessage);
if (postUri) {
const [updatedRow] = await db
.update(conversations)
.set({
postUri,
revision: generateRevision(),
})
.returning();
if (!updatedRow) {
throw new Error("Failed to update conversation in database");
}
row = updatedRow;
}
await db
.insert(messages)
.values({
conversationId: convo.id,
did: getUserDid(convo).did,
postUri: row.postUri,
revision: row.revision,
text: latestMessage!.text,
});
}
const post = await bot.getPost(row.postUri);
const convoMessages = await getRelevantMessages(row!);
const thread = await traverseThread(post);
return yaml.dump({
post: {
thread: {
ancestors: thread.map((post) => ({
author: post.author.displayName
? `${post.author.displayName} (${post.author.handle})`
: `Handle: ${post.author.handle}`,
text: post.text,
})),
},
author: post.author.displayName
? `${post.author.displayName} (${post.author.handle})`
: `Handle: ${post.author.handle}`,
text: post.text,
likes: post.likeCount || 0,
replies: post.replyCount || 0,
},
messages: convoMessages.map((message) => {
const profile = resolveDid(convo, message.did);
return {
user: profile.displayName
? `${profile.displayName} (${profile.handle})`
: `Handle: ${profile.handle}`,
text: message.text,
};
}),
});
}
async function parseMessagePostUri(message: ChatMessage) {
if (!message.embed) return null;
const post = message.embed;
return post.uri;
}
async function getRelevantMessages(convo: typeof conversations.$inferSelect) {
const convoMessages = await db
.select()
.from(messages)
.where(
and(
eq(messages.conversationId, convo.id),
eq(messages.postUri, convo!.postUri),
),
)
.limit(15);
return convoMessages;
}
export async function saveMessage(
convo: Conversation,
did: string,
text: string,
) {
const _convo = await getConvo(convo.id);
if (!_convo) {
throw new Error("Failed to find conversation with ID: " + convo.id);
}
await db
.insert(messages)
.values({
conversationId: _convo.id,
postUri: _convo.postUri,
revision: _convo.postUri,
did,
text,
});
}
export function exceedsGraphemes(content: string) {
return graphemeLength(content) > MAX_GRAPHEMES;
}
export function splitResponse(text: string): string[] {
const words = text.split(" ");
const chunks: string[] = [];
let currentChunk = "";
for (const word of words) {
if (currentChunk.length + word.length + 1 < MAX_GRAPHEMES - 10) {
currentChunk += ` ${word}`;
} else {
chunks.push(currentChunk.trim());
currentChunk = word;
}
}
if (currentChunk.trim()) {
chunks.push(currentChunk.trim());
}
const total = chunks.length;
if (total <= 1) return [text];
return chunks.map((chunk, i) => `(${i + 1}/${total}) ${chunk}`);
}
export async function multipartResponse(convo: Conversation, content: string) {
const parts = splitResponse(content).filter((p) => p.trim().length > 0);
for (const segment of parts) {
await convo.sendMessage({
text: segment,
});
}
}

40
src/utils/thread.ts Normal file
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import { Post } from "@skyware/bot";
import * as c from "../core";
import * as yaml from "js-yaml";
/*
Traversal
*/
export async function traverseThread(post: Post): Promise<Post[]> {
const thread: Post[] = [
post,
];
let currentPost: Post | undefined = post;
let parentCount = 0;
while (
currentPost && parentCount < c.MAX_THREAD_DEPTH
) {
const parentPost = await currentPost.fetchParent();
if (parentPost) {
thread.push(parentPost);
currentPost = parentPost;
} else {
break;
}
parentCount++;
}
return thread.reverse();
}
export function parseThread(thread: Post[]) {
return yaml.dump({
uri: thread[0]!.uri,
posts: thread.map((post) => ({
author: `${post.author.displayName} (${post.author.handle})`,
text: post.text,
})),
});
}

29
tsconfig.json Normal file
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{
"compilerOptions": {
// Environment setup & latest features
"lib": ["ESNext"],
"target": "ESNext",
"module": "Preserve",
"moduleDetection": "force",
"jsx": "react-jsx",
"allowJs": true,
// Bundler mode
"moduleResolution": "bundler",
"allowImportingTsExtensions": true,
"verbatimModuleSyntax": true,
"noEmit": true,
// Best practices
"strict": true,
"skipLibCheck": true,
"noFallthroughCasesInSwitch": true,
"noUncheckedIndexedAccess": true,
"noImplicitOverride": true,
// Some stricter flags (disabled by default)
"noUnusedLocals": false,
"noUnusedParameters": false,
"noPropertyAccessFromIndexSignature": false
}
}