mirror of
https://github.com/PR0M3TH3AN/bitvid.git
synced 2026-11-03 19:35:28 +00:00
update
This commit is contained in:
1 parent
589925f1fe
commit
ef29bb6eb3
97 files changed
+46855
No files matched your search
+145
@@ -0,0 +1,145 @@
|
||||
// js/workers/exploreData.worker.js
|
||||
|
||||
// Configure local NostrTools entrypoint for the bootstrap logic
|
||||
self.__BITVID_LOCAL_NOSTR_TOOLS_ENTRY__ = "../../vendor/nostr-tools.bundle.min.js";
|
||||
|
||||
import { collectVideoTags } from "../utils/videoTags.js";
|
||||
import { normalizePointerInput } from "../utils/pointerNormalization.js";
|
||||
import { buildVideoAddressPointer } from "../utils/videoPointer.js";
|
||||
import { normalizeHashtag } from "../utils/hashtagNormalization.js";
|
||||
|
||||
function normalizeAddressKey(value) {
|
||||
if (typeof value !== "string") {
|
||||
return "";
|
||||
}
|
||||
const trimmed = value.trim();
|
||||
if (!trimmed) {
|
||||
return "";
|
||||
}
|
||||
return trimmed.toLowerCase();
|
||||
}
|
||||
|
||||
async function buildWatchHistoryTagCounts({ items, videosMap, videosArray }) {
|
||||
// videosMap is passed as an object or Map. Serialization converts Map to object?
|
||||
// Structured Clone Algorithm supports Map since recently.
|
||||
// Assuming browser supports Map transfer/clone.
|
||||
// If items are raw objects, we process them.
|
||||
|
||||
const counts = new Map();
|
||||
if (!Array.isArray(items)) {
|
||||
return counts;
|
||||
}
|
||||
|
||||
// Reconstruct Map if needed, but if we pass Map, it works.
|
||||
// However, videosMap might be huge.
|
||||
// If we pass array of videos, we can build a temporary map.
|
||||
|
||||
let lookupMap = videosMap;
|
||||
if (Array.isArray(videosMap)) {
|
||||
lookupMap = new Map(videosMap.map(v => [v.id, v]));
|
||||
} else if (!(videosMap instanceof Map) && videosArray) {
|
||||
lookupMap = new Map(videosArray.map(v => [v.id, v]));
|
||||
}
|
||||
|
||||
const needsAddressIndex = items.some((item) => {
|
||||
const pointer = normalizePointerInput(item?.pointer || item);
|
||||
return pointer?.type === "a";
|
||||
});
|
||||
|
||||
let addressIndex = null;
|
||||
if (needsAddressIndex && lookupMap) {
|
||||
addressIndex = new Map();
|
||||
for (const video of lookupMap.values()) {
|
||||
const address = buildVideoAddressPointer(video);
|
||||
const key = normalizeAddressKey(address);
|
||||
if (key) {
|
||||
addressIndex.set(key, video);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
for (let i = 0; i < items.length; i++) {
|
||||
const entry = items[i];
|
||||
const pointer = normalizePointerInput(entry?.pointer || entry);
|
||||
let video = entry?.video || entry?.metadata?.video || null;
|
||||
|
||||
if (pointer?.type === "e" && pointer.value) {
|
||||
const eventId = typeof pointer.value === "string" ? pointer.value.trim() : "";
|
||||
if (eventId && lookupMap) {
|
||||
video = lookupMap.get(eventId) || lookupMap.get(eventId.toLowerCase()) || video;
|
||||
}
|
||||
} else if (pointer?.type === "a" && pointer.value && addressIndex) {
|
||||
const key = normalizeAddressKey(pointer.value);
|
||||
if (key && addressIndex.has(key)) {
|
||||
video = addressIndex.get(key);
|
||||
}
|
||||
}
|
||||
|
||||
if (!video) {
|
||||
continue;
|
||||
}
|
||||
|
||||
const tags = collectVideoTags(video);
|
||||
for (const tag of tags) {
|
||||
const normalized = normalizeHashtag(tag);
|
||||
if (normalized) {
|
||||
counts.set(normalized, (counts.get(normalized) || 0) + 1);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return counts;
|
||||
}
|
||||
|
||||
async function buildTagIdf({ videos }) {
|
||||
const idf = new Map();
|
||||
const list = Array.isArray(videos) ? videos : [];
|
||||
if (!list.length) {
|
||||
return idf;
|
||||
}
|
||||
|
||||
const docFrequency = new Map();
|
||||
const totalDocs = list.length;
|
||||
|
||||
for (let i = 0; i < list.length; i++) {
|
||||
const video = list[i];
|
||||
const tags = collectVideoTags(video);
|
||||
if (tags && (tags.length || tags.size)) {
|
||||
for (const tag of tags) {
|
||||
const normalized = normalizeHashtag(tag);
|
||||
if (normalized) {
|
||||
docFrequency.set(normalized, (docFrequency.get(normalized) || 0) + 1);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
for (const [tag, df] of docFrequency.entries()) {
|
||||
const ratio = (totalDocs + 1) / (df + 1);
|
||||
const value = 1 + Math.log(ratio);
|
||||
if (Number.isFinite(value) && value > 0) {
|
||||
idf.set(tag, value);
|
||||
}
|
||||
}
|
||||
|
||||
return idf;
|
||||
}
|
||||
|
||||
self.onmessage = async (e) => {
|
||||
const { type, id, payload } = e.data;
|
||||
|
||||
try {
|
||||
let result;
|
||||
if (type === 'CALC_HISTORY_COUNTS') {
|
||||
result = await buildWatchHistoryTagCounts(payload);
|
||||
} else if (type === 'CALC_IDF') {
|
||||
result = await buildTagIdf(payload);
|
||||
} else {
|
||||
throw new Error(`Unknown message type: ${type}`);
|
||||
}
|
||||
|
||||
self.postMessage({ id, result });
|
||||
} catch (error) {
|
||||
self.postMessage({ id, error: error.message || String(error) });
|
||||
}
|
||||
};
|
||||
Reference in new issue
Block a user