fix(singbox): экспорт COMMUNITY_SERVICES для загрузки ruleset и исправление RAG эмбеддингов AI Doctor
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@@ -1,6 +1,7 @@
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let fs = require("fs");
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let common = require("core.common");
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let as_string = common.as_string;
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let command_from_args = common.command_from_args;
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let rag_index = null;
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let rag_embed_cache = null;
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@@ -156,6 +157,12 @@ function call_embedding_api(api_url, api_key, model, texts) {
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return null;
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}
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function sqrt_val(x) {
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if (x <= 0)
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return 0.0;
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return x ** 0.5;
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}
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function cosine_similarity(a, b) {
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let len = length(a);
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if (len == 0 || length(b) != len)
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@@ -166,7 +173,7 @@ function cosine_similarity(a, b) {
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norm_a += a[i] * a[i];
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norm_b += b[i] * b[i];
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}
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let denom = sqrt(norm_a) * sqrt(norm_b);
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let denom = sqrt_val(norm_a) * sqrt_val(norm_b);
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if (denom == 0)
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return 0;
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return dot / denom;
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@@ -223,12 +230,12 @@ function search(query_embedding, index, top_k) {
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if (length(chunk.embedding) == 0)
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continue;
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let score = cosine_similarity(query_embedding, chunk.embedding);
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push({ chunk: chunk, score: score }, scored);
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push(scored, { chunk: chunk, score: score });
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}
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sort(scored, function(a, b) { return b.score - a.score; });
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let limit = top_k || 3;
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if (length(scored) > limit)
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scored = scored.slice(0, limit);
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scored = slice(scored, 0, limit);
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return scored;
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}
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@@ -250,8 +257,8 @@ function retrieve(query, provider, api_key, custom_url, model_override, top_k) {
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let r = results[i];
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if (r.score < 0.3)
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continue;
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push(sprintf("[Source: %s — %s] (relevance: %.0f%%)\n%s",
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r.chunk.file, r.chunk.heading, r.score * 100, r.chunk.text), parts);
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push(parts, sprintf("[Source: %s — %s] (relevance: %.0f%%)\n%s",
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r.chunk.file, r.chunk.heading, r.score * 100, r.chunk.text));
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}
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return join("\n\n---\n\n", parts);
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}
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@@ -278,5 +285,7 @@ return {
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retrieve: retrieve,
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invalidate_cache: invalidate_cache,
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status: status,
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load_raw_index: load_raw_index
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load_raw_index: load_raw_index,
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get_embedding_model: get_embedding_model,
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search: search
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};
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@@ -128,6 +128,7 @@ function remote_format(reference) {
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function module_exports() {
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return {
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COMMUNITY_SERVICES,
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is_community,
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community_url,
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hash12,
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@@ -56,4 +56,26 @@ print((length(out) == 2 && length(out[0]) == 2 && out[1][1] == 4) ? "OK" : "BAD"
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[ "$push_check" = "OK" ] ||
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fail "ucode push(array, value) did not behave as expected (saw '$push_check')"
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# 6. Runtime verification of rag.uc functions (as_string, get_embedding_model, search, sqrt_val, slice)
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runtime_check="$(ucode -L "$TACHYON_LIB" -e '
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let rag = require("diagnostics.rag");
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assert(rag.get_embedding_model("OpenAI") == "text-embedding-3-small", "OpenAI");
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assert(rag.get_embedding_model("DEEPSEEK") == "deepseek-embedding", "DeepSeek");
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assert(rag.get_embedding_model(null, null) == "text-embedding-3-small", "null");
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let idx = {
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chunks: [
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{ file: "f1.md", heading: "H1", text: "T1", embedding: [1.0, 0.0] },
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{ file: "f2.md", heading: "H2", text: "T2", embedding: [0.9, 0.1] },
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{ file: "f3.md", heading: "H3", text: "T3", embedding: [0.8, 0.2] }
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]
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};
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let res = rag.search([1.0, 0.0], idx, 2);
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assert(length(res) == 2, "limit 2");
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assert(res[0].chunk.file == "f1.md", "best match");
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print("OK");
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' 2>&1 || echo "FAIL")"
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[ "$runtime_check" = "OK" ] ||
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fail "rag.uc runtime execution failed (saw '$runtime_check')"
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printf 'rag embeddings checks passed\n'
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@@ -46,5 +46,7 @@ assert_eq binary \
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"unknown remote ruleset format"
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ucode -L "$TACHYON_LIB" -e 'let rulesets = require("singbox.rulesets"); if (rulesets.kind_from_reference_hint("geoip") != "subnets") exit(1);'
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ucode -L "$TACHYON_LIB" -e 'let rulesets = require("singbox.rulesets"); if (type(rulesets.COMMUNITY_SERVICES) != "object" || !rulesets.COMMUNITY_SERVICES.discord) exit(1);'
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printf 'singbox rulesets checks passed\n'
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