simplifiaction of the flow
This commit is contained in:
@@ -1,51 +1,130 @@
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// What this service answers a chat turn with: the LLM loop with the
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// conversation so far. The service is synchronous per turn: when the answer
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// is written, every bijlage already exists. The agreed spec goes on the
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// proposal, and once a report runs, its CSV (registered by the runner as a
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// real file) and the spec go on the same turn. The prompt never carries the
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// Turtle.
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// What this service answers a chat turn with. The service is synchronous
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// per turn: when the answer is written, every bijlage already exists.
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//
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// Execute turns skip the LLM loop. The mode classifier says the user wants
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// to run the report now; the agreed spec already sits in the conversation
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// as a bijlage, so it is read from disk and fed straight to the runner.
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// The answer is hard-coded: no extra prompt runs for it. When anything on
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// the fast path fails, the turn falls back to the LLM loop as before.
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import { classifyMode } from './llm/mode.js';
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import { ask } from './llm/loop.js';
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import { storeSpecFile } from './chat/attachment-file.js';
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import { SPEC_MEDIA_TYPE } from './chat/vocab.js';
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import { parseSpec } from './runner/spec.js';
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import { checkSpec } from './runner/check.js';
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import { run, slug } from './runner/run.js';
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import { readFileSync } from 'fs';
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import { storeSpecFile, registerFileObject } from './chat/attachment-file.js';
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import { SPEC_MEDIA_TYPE, ATTACHMENT_TYPES } from './chat/vocab.js';
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const TEXT = {
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making: 'Ik maak het rapport. Het verschijnt hier zodra het klaar is.',
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executed: 'Het rapport is uitgevoerd. De bijlagen staan erbij.',
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};
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const MAX_PATH_DEPTH = Number(process.env.MAX_PATH_DEPTH || 8);
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const SHARE_DIR = process.env.SHARE_DIR || '/share';
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// The chat mounts before the profiles are in; whenProfiles waits for the load.
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export function reportAssistant(whenProfiles) {
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return async function answer(turn) {
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// The file uri of the executed report, set by the end callback.
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let fileUri = null;
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// The last spec that checked out; stored as a file for this turn's
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// final message.
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let spec = null;
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const session = {
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query: turn.query,
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update: turn.update,
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onSpecValidated(validated) { spec = validated; },
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async onReportStart() {
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// Feedback while the run goes on; the report itself lands on the
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// final message in bijlagen.
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await turn.say(TEXT.making);
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},
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async onReportEnd(error, result) {
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if (!error && result) fileUri = result.fileUri;
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},
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};
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const turns = [...turn.history, { role: 'user', content: turn.content }];
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const profiles = await whenProfiles();
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const { text } = await ask([...turn.history, { role: 'user', content: turn.content }], profiles, session);
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// The bijlagen of this turn, all with a real file behind them: the
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// executed report's CSV first, next the validated spec.
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const attachments = [];
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if (fileUri) attachments.push({ uri: fileUri });
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if (spec) {
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const stored = await storeSpecFile(turn.update, spec);
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attachments.push({ ...stored, mediaType: SPEC_MEDIA_TYPE });
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if (await classifyMode(turns)) {
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try {
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return await runStoredSpec(turn, profiles);
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} catch (e) {
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console.error('[reports] direct execution failed, falling back to the LLM:', e);
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}
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}
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return { text, attachments };
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return llmAnswer(turn, turns, profiles);
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};
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}
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// The fast path: the last spec bijlage in the conversation is the agreed
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// spec. No prompt runs; the runner gets it straight away.
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async function runStoredSpec(turn, profiles) {
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const attachment = lastSpecAttachment(turn.history);
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const content = attachment && readSpecFile(attachment.name);
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if (!content) throw new Error('no agreed spec in the conversation');
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const parsed = parseSpec(content);
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const profile = profiles.get(parsed.profileUri);
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if (!profile) throw new Error(`no profile <${parsed.profileUri}>`);
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const errors = checkSpec(parsed, profile, MAX_PATH_DEPTH, profiles);
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if (errors.length) throw new Error(`the agreed spec is not valid: ${errors[0]}`);
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// The conversation's title (named by the first question) names the file.
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// The report itself keeps the dct:title of the spec.
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const { fileUri } = await run(turn.query, turn.update, parsed, profile,
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parsed.title, {
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spec: content,
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fileType: ATTACHMENT_TYPES.result,
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fileName: `${slug(turn.conversation.title)}.csv`,
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});
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// Same physical spec file, registered as a bijlage for this message.
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const specFile = await registerFileObject(turn.update, {
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fileName: attachment.name,
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format: SPEC_MEDIA_TYPE,
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size: Buffer.byteLength(content),
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type: ATTACHMENT_TYPES.spec,
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});
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return {
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text: TEXT.executed,
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attachments: [
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{ uri: fileUri },
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{ ...specFile, mediaType: SPEC_MEDIA_TYPE },
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],
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};
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}
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function lastSpecAttachment(history) {
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for (const message of [...(history || [])].reverse()) {
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const specs = (message.attachments || []).filter(a =>
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a.mediaType === SPEC_MEDIA_TYPE
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&& /^specificatie-[0-9a-f-]+\.ttl$/.test(a.name || ''));
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if (specs.length) return specs[specs.length - 1];
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}
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return null;
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}
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function readSpecFile(fileName) {
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try {
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return readFileSync(`${SHARE_DIR}/${fileName}`, 'utf8');
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} catch {
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return null;
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}
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}
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// The LLM loop, refinement and execute mode. LLM answer with the
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// conversation so far; the agreed spec goes on the proposal, and once a
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// report runs, its CSV (registered by the runner as a real file) and the
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// spec go on the same turn. The prompt never carries the Turtle.
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async function llmAnswer(turn, turns, profiles) {
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// The file uri of the executed report, set by the end callback.
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let fileUri = null;
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// The last spec that checked out; stored as a file for this turn's
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// final message.
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let spec = null;
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const session = {
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query: turn.query,
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update: turn.update,
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onSpecValidated(validated) { spec = validated; },
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async onReportEnd(error, result) {
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if (!error && result) fileUri = result.fileUri;
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},
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};
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const { text } = await ask(turns, profiles, session);
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// The bijlagen of this turn, all with a real file behind them: the
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// executed report's CSV first, next the validated spec.
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const attachments = [];
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if (fileUri) attachments.push({ uri: fileUri });
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if (spec) {
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const stored = await storeSpecFile(turn.update, spec);
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attachments.push({ ...stored, mediaType: SPEC_MEDIA_TYPE });
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}
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return { text, attachments };
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}
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