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import { randomUUID } from "node:crypto";
import { DEMO_VERDICTS, DEMO_REQUESTS } from "@/lib/demo-fixtures";
import { evaluateRules, normalizeExtractedRules } from "@/lib/rule-engine";
import type { EvaluateRequest } from "@/lib/schemas/evaluate-request";
import type { Verdict } from "@/lib/schemas/verdict";
import { fetchPolicyPages, hashPolicyContent } from "@/lib/nimble";
import type { PolicyChunk } from "@/lib/senso";
import { searchPolicy } from "@/lib/senso";
import { generateVerdictFromChunks } from "@/lib/verdict-llm";
import { publishVerdictToCited } from "@/lib/verdict-publish";
export type PipelineMeta = {
mode:
| "demo_fixture"
| "senso_kb"
| "senso_kb+nimble_fallback"
| "nimble_live"
| "rules_only";
demo_mode: boolean;
nimble_pages_fetched: number;
nimble_errors: string[];
senso_chunks: number;
};
export type PipelineOptions = {
demoKey?: keyof typeof DEMO_REQUESTS;
skipSenso?: boolean;
skipNimble?: boolean;
skipLlm?: boolean;
skipPublish?: boolean;
};
export type PipelineResult = {
verdict: Verdict;
meta: PipelineMeta;
};
/**
* Evaluate pipeline:
* 1. (optional) Nimble fetch — Aslan wires nimble.ts
* 2. Senso search context → policy chunks
* 3. LLM → structured verdict (grounded in chunks)
* 4. Rule engine → constrain / merge matched_rules
* 5. (optional) ClickHouse log — clickhouse.ts
* 6. (optional) Senso publish → cited.md
*/
export async function runEvaluatePipeline(
request: EvaluateRequest,
options: PipelineOptions = {}
): Promise<PipelineResult> {
const demoMode = process.env.POLICYGUARD_DEMO_MODE === "true";
if (demoMode && options.demoKey && DEMO_VERDICTS[options.demoKey]) {
const fixture = {
...DEMO_VERDICTS[options.demoKey],
decision_id: `dec_${randomUUID().slice(0, 8)}`,
};
const verdict = await finalizeVerdict(request, fixture, options);
return {
verdict,
meta: {
mode: "demo_fixture",
demo_mode: true,
nimble_pages_fetched: 0,
nimble_errors: [],
senso_chunks: 0,
},
};
}
const actionDescription =
request.intended_action.description ??
`${request.intended_action.action_type} on ${request.target.name}`;
let nimblePages: Awaited<ReturnType<typeof fetchPolicyPages>> = [];
if (!options.skipNimble && request.target.policy_urls.length > 0) {
nimblePages = await fetchPolicyPages(request.target.policy_urls);
}
const nimbleErrors = nimblePages
.filter((p) => p.body.startsWith("[nimble"))
.map((p) => `${p.url}: ${p.body.replace(/^\[nimble [^\]]+\]\s*/, "")}`);
const nimbleBodies = nimblePages
.map((p) => p.body)
.filter((b) => b.length > 0 && !b.startsWith("[nimble"));
const nimbleQuote = nimbleBodies[0]?.slice(0, 500);
let chunks: PolicyChunk[] = [];
let pipelineMode: PipelineMeta["mode"] = "rules_only";
if (!options.skipSenso && request.target.policy_content_id) {
try {
chunks = await searchPolicy(
actionDescription,
request.target.policy_content_id
);
pipelineMode = "senso_kb";
} catch (e) {
console.warn("[pipeline] Senso search failed, using rule heuristics only", e);
}
}
if (chunks.length === 0 && nimbleBodies.length > 0) {
const hadSensoAttempt = pipelineMode === "senso_kb";
chunks = [
{
content_id: "nimble-live",
chunk_text: nimbleBodies.join("\n\n").slice(0, 12_000),
score: 1,
title: request.target.name,
},
];
pipelineMode = hadSensoAttempt ? "senso_kb+nimble_fallback" : "nimble_live";
}
let verdict: Verdict;
if (options.skipLlm || chunks.length === 0) {
const engine = evaluateRules({
request,
normalized_rules: normalizeExtractedRules(
inferRulesFromRequest(request)
),
});
verdict = heuristicVerdict(
request,
engine,
chunks[0]?.chunk_text ?? nimbleQuote
);
} else {
const engineFromRequest = evaluateRules({
request,
normalized_rules: normalizeExtractedRules(
inferRulesFromRequest(request)
),
});
try {
verdict = await generateVerdictFromChunks(request, chunks);
const engine = evaluateRules({
request,
normalized_rules: normalizeExtractedRules(verdict.matched_rules),
});
verdict = {
...verdict,
decision: engine.suggested_decision,
risk_level: engine.suggested_risk,
matched_rules: [
...new Set([...verdict.matched_rules, ...engine.matched_rules]),
],
machine_instruction: {
...verdict.machine_instruction,
...engine.machine_flags,
} as Verdict["machine_instruction"],
};
} catch (e) {
console.warn(
"[pipeline] LLM verdict failed, using Senso chunks + rule engine",
e
);
verdict = heuristicVerdict(
request,
engineFromRequest,
chunks[0]?.chunk_text ?? nimbleQuote
);
}
}
const withMeta: Verdict = {
...verdict,
decision_id: verdict.decision_id ?? `dec_${randomUUID().slice(0, 8)}`,
policy_version: {
provider: request.target.name,
checked_at: new Date().toISOString(),
content_hash:
nimbleBodies.length > 0
? hashPolicyContent(nimbleBodies)
: undefined,
},
citation: {
...verdict.citation,
source_url:
verdict.citation.source_url ||
request.target.policy_urls[0] ||
`https://${request.target.domain ?? "unknown"}`,
quoted_text:
verdict.citation.quoted_text?.length > 30
? verdict.citation.quoted_text
: (chunks[0]?.chunk_text?.slice(0, 400) ??
nimbleQuote ??
verdict.citation.quoted_text),
},
};
const finalized = await finalizeVerdict(request, withMeta, options);
return {
verdict: finalized,
meta: {
mode: pipelineMode,
demo_mode: demoMode,
nimble_pages_fetched: nimblePages.filter((p) =>
p.body && !p.body.startsWith("[nimble")
).length,
nimble_errors: nimbleErrors,
senso_chunks: chunks.length,
},
};
}
async function finalizeVerdict(
request: EvaluateRequest,
verdict: Verdict,
options: PipelineOptions
): Promise<Verdict> {
const skipPublish =
options.skipPublish || process.env.POLICYGUARD_SKIP_PUBLISH === "true";
if (skipPublish || !process.env.SENSO_API_KEY) {
return verdict;
}
try {
const url = await publishVerdictToCited(
request,
verdict,
options.demoKey
);
if (url) {
return { ...verdict, cited_md_url: url };
}
} catch (e) {
console.warn("[pipeline] Senso publish failed", e);
}
return verdict;
}
function inferRulesFromRequest(request: EvaluateRequest): string[] {
const rules: string[] = [];
const a = request.intended_action;
const domain = request.target.domain ?? "";
if (
(domain.includes("linkedin.com") || domain.includes("instagram.com")) &&
a.uses_automation
) {
rules.push("no bots", "no automated access");
}
if (domain.includes("instagram.com") && a.stores_data) {
rules.push("no_bulk_automated_collection", "personal data consent");
}
if (a.frequency === "bulk") rules.push("bulk automated collection");
if (a.action_type === "scrape_listing_aggregator") {
rules.push("bulk automated collection", "commercial reuse");
}
if (a.contains_pii && a.commercial_use) {
rules.push("personal data consent", "commercial reuse");
}
return rules;
}
function heuristicVerdict(
request: EvaluateRequest,
engine: ReturnType<typeof evaluateRules>,
quoted?: string
): Verdict {
return {
decision: engine.suggested_decision,
risk_level: engine.suggested_risk,
reason: `Policy evaluation for ${request.intended_action.action_type} on ${request.target.name}.`,
matched_rules: engine.matched_rules,
machine_instruction: {
proceed: engine.machine_flags.proceed ?? false,
disable_target_action: engine.machine_flags.disable_target_action ?? false,
requires_human_review: engine.machine_flags.requires_human_review ?? false,
safe_alternative: engine.machine_flags.safe_alternative,
},
citation: {
source_url:
request.target.policy_urls[0] ??
`https://${request.target.domain ?? "unknown"}`,
quoted_text: quoted ?? "Policy text unavailable in bootstrap mode.",
fetched_at: new Date().toISOString(),
},
};
}