diff --git a/llm_normalizer/backend/dist/routes/autoRuns.js b/llm_normalizer/backend/dist/routes/autoRuns.js index 897d50d..f7c5bf9 100644 --- a/llm_normalizer/backend/dist/routes/autoRuns.js +++ b/llm_normalizer/backend/dist/routes/autoRuns.js @@ -93,6 +93,16 @@ function clampInt(value, min, max, fallback) { return max; return rounded; } +function isAutoGenMode(value) { + return value === "qwen_seed" || value === "codex_creative" || value === "saved_user_sessions"; +} +function parseAutoGenTitle(value) { + const title = toStringSafe(value); + if (!title) { + return null; + } + return title.slice(0, 160); +} function parseManualCaseDecision(value, fallback = "needs_dialog_policy_fix") { const normalized = toStringSafe(value); if (!normalized) @@ -151,15 +161,11 @@ function readAutoGenHistory() { .map((item) => ({ generation_id: toStringSafe(item.generation_id) ?? "", created_at: toStringSafe(item.created_at) ?? new Date().toISOString(), - mode: toStringSafe(item.mode) ?? "codex_creative", + mode: isAutoGenMode(toStringSafe(item.mode)) ? toStringSafe(item.mode) : "codex_creative", + title: parseAutoGenTitle(item.title), count: clampInt(toNumberSafe(item.count), 1, 300, 20), domain: toStringSafe(item.domain), - questions: toArray(item.questions) - .map((q) => toStringSafe(q)) - .filter((q) => q !== null) - .map((q) => sanitizeGeneratedQuestion(q)) - .filter((q) => q.length > 0) - .slice(0, 500), + questions: parseAssistantSessionQuestions(item.questions), generated_by: toStringSafe(item.generated_by), saved_case_set_file: toStringSafe(item.saved_case_set_file), context: toRecord(item.context) @@ -174,7 +180,10 @@ function readAutoGenHistory() { autogen_personality_id: toStringSafe(toRecord(item.context)?.autogen_personality_id), autogen_personality_prompt: toStringSafe(toRecord(item.context)?.autogen_personality_prompt) ? repairAutogenMojibake(String(toRecord(item.context)?.autogen_personality_prompt)) - : null + : null, + source_session_id: toStringSafe(toRecord(item.context)?.source_session_id), + saved_session_file: toStringSafe(toRecord(item.context)?.saved_session_file), + saved_case_set_kind: toStringSafe(toRecord(item.context)?.saved_case_set_kind) } : null })) @@ -1057,7 +1066,7 @@ function parseDecisionFilter(value) { } function parseAutoGenMode(value) { const normalized = toStringSafe(value)?.toLowerCase() ?? ""; - if (normalized === "qwen_seed" || normalized === "codex_creative") { + if (normalized === "qwen_seed" || normalized === "codex_creative" || normalized === "saved_user_sessions") { return normalized; } return "codex_creative"; @@ -1150,6 +1159,12 @@ function sanitizeGeneratedQuestion(value) { .replace(/\s+/g, " ") .trim(); } +function parseAssistantSessionQuestions(value) { + return toArray(value) + .map((item) => sanitizeGeneratedQuestion(typeof item === "string" ? item : "")) + .filter((item) => item.length > 0) + .slice(0, 500); +} const AUTOGEN_QUESTION_PLACEHOLDER_PATTERN = /^(?:questions?|вопросы?|список\s+вопросов)$/iu; const AUTOGEN_QUESTION_TAIL_PATTERNS = [ /^(?:без\s+воды|по\s+факту|и\s+коротко|коротко|прям(?:\s+)?сейчас|за\s+весь\s+период|по\s+делу)\??$/iu @@ -1413,6 +1428,18 @@ function buildAutogenCaseSetFileName(mode, generationId) { ].join(""); return `assistant_autogen_${mode}_${stamp}_${generationId}.json`; } +function buildSavedAssistantSessionSnapshotFileName(generationId) { + const now = new Date(); + const stamp = [ + now.getUTCFullYear(), + String(now.getUTCMonth() + 1).padStart(2, "0"), + String(now.getUTCDate()).padStart(2, "0"), + String(now.getUTCHours()).padStart(2, "0"), + String(now.getUTCMinutes()).padStart(2, "0"), + String(now.getUTCSeconds()).padStart(2, "0") + ].join(""); + return `assistant_saved_session_${stamp}_${generationId}.json`; +} function buildAutogenCaseSetPayload(input) { const normalizedQuestions = Array.from(new Set(input.questions.map((item) => sanitizeGeneratedQuestion(item)).filter((item) => item.length > 0))); const cases = normalizedQuestions.map((question, index) => ({ @@ -1439,6 +1466,99 @@ function buildAutogenCaseSetPayload(input) { cases }; } +function buildSavedSessionCaseSetPayload(input) { + const questions = parseAssistantSessionQuestions(input.questions); + const turns = questions.map((question) => ({ + user_message: question + })); + const caseId = "SAVED-001"; + return { + suite_id: `assistant_saved_session_${input.generationId}`, + suite_version: "0.1.0", + schema_version: "assistant_saved_session_suite_v0_1", + generated_at: new Date().toISOString(), + generation_id: input.generationId, + mode: "saved_user_sessions", + title: input.title, + scenario_count: turns.length > 0 ? 1 : 0, + case_ids: turns.length > 0 ? [caseId] : [], + cases: turns.length > 0 + ? [ + { + case_id: caseId, + scenario_tag: "saved_user_sessions", + title: input.title, + question_type: turns.length > 1 ? "followup" : "direct", + broadness_level: "medium", + turns + } + ] + : [] + }; +} +function ensureDirSync(targetDir) { + if (!fs_1.default.existsSync(targetDir)) { + fs_1.default.mkdirSync(targetDir, { recursive: true }); + } +} +function writeJsonFile(targetPath, payload) { + ensureDirSync(path_1.default.dirname(targetPath)); + fs_1.default.writeFileSync(targetPath, JSON.stringify(payload, null, 2), "utf-8"); +} +function rewriteAutoGenCaseSetFile(record) { + const caseSetFile = toStringSafe(record.saved_case_set_file); + if (!caseSetFile) { + return null; + } + const targetPath = path_1.default.resolve(config_1.EVAL_CASES_DIR, caseSetFile); + const payload = record.mode === "saved_user_sessions" + ? buildSavedSessionCaseSetPayload({ + generationId: record.generation_id, + title: record.title, + questions: record.questions + }) + : buildAutogenCaseSetPayload({ + generationId: record.generation_id, + mode: record.mode, + domain: record.domain, + questions: record.questions + }); + writeJsonFile(targetPath, payload); + return caseSetFile; +} +function writeSavedAssistantSessionSnapshot(input) { + const fileName = buildSavedAssistantSessionSnapshotFileName(input.generationId); + const targetPath = path_1.default.resolve(path_1.default.dirname(config_1.AUTORUN_GENERATOR_HISTORY_FILE), "saved_sessions", fileName); + writeJsonFile(targetPath, { + saved_at: new Date().toISOString(), + generation_id: input.generationId, + mode: "saved_user_sessions", + title: input.title, + source_session_id: input.sessionId, + questions: input.questions, + session: input.session + }); + return fileName; +} +function resolveFileInsideDir(baseDir, fileName) { + const normalized = toStringSafe(fileName); + if (!normalized) { + return null; + } + const targetPath = path_1.default.resolve(baseDir, normalized); + const relative = path_1.default.relative(baseDir, targetPath); + if (relative.startsWith("..") || path_1.default.isAbsolute(relative)) { + return null; + } + return targetPath; +} +function safeDeleteFile(targetPath) { + if (!targetPath || !fs_1.default.existsSync(targetPath)) { + return null; + } + fs_1.default.unlinkSync(targetPath); + return targetPath; +} function collectPostAnalysis(annotations, runMap, limitPerQueue) { const byDecision = {}; const byQueue = {}; @@ -1522,7 +1642,7 @@ function collectPostAnalysis(annotations, runMap, limitPerQueue) { ].slice(0, 60) }; } -function buildAutoRunsRouter(openaiClient = new openaiResponsesClient_1.OpenAIResponsesClient()) { +function buildAutoRunsRouter(services, openaiClient = new openaiResponsesClient_1.OpenAIResponsesClient()) { const router = (0, express_1.Router)(); router.get("/api/autoruns/history", (req, res) => { const filters = parseFilters(req.query); @@ -1884,7 +2004,7 @@ function buildAutoRunsRouter(openaiClient = new openaiResponsesClient_1.OpenAIRe try { const limit = clampInt(toNumberSafe(req.query.limit), 1, 500, 120); const rawMode = toStringSafe(req.query.mode); - const includeAllModes = !rawMode || !["qwen_seed", "codex_creative"].includes(rawMode); + const includeAllModes = !rawMode || !isAutoGenMode(rawMode); const modeFilter = rawMode ?? "codex_creative"; const items = readAutoGenHistory() .filter((item) => (includeAllModes ? true : item.mode === modeFilter)) @@ -1911,6 +2031,157 @@ function buildAutoRunsRouter(openaiClient = new openaiResponsesClient_1.OpenAIRe next(error); } }); + router.post("/api/autoruns/autogen/save-assistant-session", (req, res, next) => { + try { + const body = toRecord(req.body); + if (!body) { + throw new http_1.ApiError("INVALID_AUTOGEN_SAVE_SESSION_PAYLOAD", "JSON body is required", 400); + } + const sessionId = toStringSafe(body.session_id); + const title = parseAutoGenTitle(body.title); + const generatedBy = parseAnnotationAuthor(body.generated_by); + const context = toRecord(body.context); + if (!sessionId) { + throw new http_1.ApiError("INVALID_AUTOGEN_SAVE_SESSION_PAYLOAD", "session_id is required", 400); + } + if (!title) { + throw new http_1.ApiError("INVALID_AUTOGEN_SAVE_SESSION_PAYLOAD", "title is required", 400); + } + const session = services.assistantService.getSession(sessionId); + if (!session) { + throw new http_1.ApiError("ASSISTANT_SESSION_NOT_FOUND", `Session not found: ${sessionId}`, 404); + } + const questions = session.items + .filter((item) => item.role === "user") + .map((item) => sanitizeGeneratedQuestion(item.text)) + .filter((item) => item.length > 0); + if (questions.length === 0) { + throw new http_1.ApiError("ASSISTANT_SESSION_EMPTY", "Assistant session has no user questions to save.", 400); + } + const generationId = generateAutogenId(); + const caseSetFile = buildAutogenCaseSetFileName("saved_user_sessions", generationId); + const caseSetPath = path_1.default.resolve(config_1.EVAL_CASES_DIR, caseSetFile); + writeJsonFile(caseSetPath, buildSavedSessionCaseSetPayload({ + generationId, + title, + questions + })); + const snapshotFile = writeSavedAssistantSessionSnapshot({ + generationId, + sessionId, + title, + session: session, + questions + }); + const record = { + generation_id: generationId, + created_at: new Date().toISOString(), + mode: "saved_user_sessions", + title, + count: questions.length, + domain: null, + questions, + generated_by: generatedBy, + saved_case_set_file: caseSetFile, + context: { + llm_provider: toStringSafe(context?.llm_provider), + model: toStringSafe(context?.model), + assistant_prompt_version: toStringSafe(context?.assistant_prompt_version), + decomposition_prompt_version: toStringSafe(context?.decomposition_prompt_version), + prompt_fingerprint: toStringSafe(context?.prompt_fingerprint) + ? repairAutogenMojibake(String(context?.prompt_fingerprint)) + : null, + autogen_personality_id: null, + autogen_personality_prompt: null, + source_session_id: sessionId, + saved_session_file: snapshotFile, + saved_case_set_kind: "assistant_session_scenario" + } + }; + const history = readAutoGenHistory(); + history.unshift(record); + writeAutoGenHistory(history.slice(0, 500)); + (0, http_1.ok)(res, { + ok: true, + generation: record + }); + } + catch (error) { + next(error); + } + }); + router.patch("/api/autoruns/autogen/history/:generation_id/questions", (req, res, next) => { + try { + const generationId = toStringSafe(req.params.generation_id); + const body = toRecord(req.body); + if (!generationId) { + throw new http_1.ApiError("INVALID_AUTOGEN_GENERATION_ID", "generation_id is required", 400); + } + if (!body) { + throw new http_1.ApiError("INVALID_AUTOGEN_QUESTIONS_PAYLOAD", "JSON body is required", 400); + } + const questions = parseAssistantSessionQuestions(body.questions); + if (questions.length === 0) { + throw new http_1.ApiError("INVALID_AUTOGEN_QUESTIONS_PAYLOAD", "questions must contain at least one item", 400); + } + const history = readAutoGenHistory(); + const targetIndex = history.findIndex((item) => item.generation_id === generationId); + if (targetIndex < 0) { + throw new http_1.ApiError("AUTOGEN_GENERATION_NOT_FOUND", `Generation not found: ${generationId}`, 404); + } + const current = history[targetIndex]; + const updated = { + ...current, + count: questions.length, + questions + }; + rewriteAutoGenCaseSetFile(updated); + history[targetIndex] = updated; + writeAutoGenHistory(history); + (0, http_1.ok)(res, { + ok: true, + generation: updated + }); + } + catch (error) { + next(error); + } + }); + router.delete("/api/autoruns/autogen/history/:generation_id", (req, res, next) => { + try { + const generationId = toStringSafe(req.params.generation_id); + if (!generationId) { + throw new http_1.ApiError("INVALID_AUTOGEN_GENERATION_ID", "generation_id is required", 400); + } + const history = readAutoGenHistory(); + const targetIndex = history.findIndex((item) => item.generation_id === generationId); + if (targetIndex < 0) { + throw new http_1.ApiError("AUTOGEN_GENERATION_NOT_FOUND", `Generation not found: ${generationId}`, 404); + } + const target = history[targetIndex]; + const deletedFiles = []; + const caseSetPath = resolveFileInsideDir(config_1.EVAL_CASES_DIR, target.saved_case_set_file); + const savedSessionPath = resolveFileInsideDir(path_1.default.resolve(path_1.default.dirname(config_1.AUTORUN_GENERATOR_HISTORY_FILE), "saved_sessions"), target.context?.saved_session_file ?? null); + const deletedCaseSet = safeDeleteFile(caseSetPath); + if (deletedCaseSet) { + deletedFiles.push(deletedCaseSet); + } + const deletedSavedSession = safeDeleteFile(savedSessionPath); + if (deletedSavedSession) { + deletedFiles.push(deletedSavedSession); + } + history.splice(targetIndex, 1); + writeAutoGenHistory(history); + (0, http_1.ok)(res, { + ok: true, + generation_id: generationId, + deleted_files: deletedFiles + }); + } + catch (error) { + next(error); + } + }); router.post("/api/autoruns/autogen/generate", async (req, res, next) => { try { const body = toRecord(req.body); @@ -1925,6 +2196,9 @@ function buildAutoRunsRouter(openaiClient = new openaiResponsesClient_1.OpenAIRe const context = toRecord(body.context); const llmConfig = parseAutogenLlmRuntimeConfig(body, context); const personalityPrompt = toStringSafe(context?.autogen_personality_prompt); + if (mode === "saved_user_sessions") { + throw new http_1.ApiError("AUTOGEN_MODE_NOT_SUPPORTED", "Use `/api/autoruns/autogen/save-assistant-session` to save user sessions.", 400); + } let questions = []; if (mode === "qwen_seed") { if (!llmConfig) { @@ -1963,6 +2237,7 @@ function buildAutoRunsRouter(openaiClient = new openaiResponsesClient_1.OpenAIRe generation_id: generationId, created_at: new Date().toISOString(), mode, + title: null, count: questions.length, domain, questions, @@ -1980,7 +2255,10 @@ function buildAutoRunsRouter(openaiClient = new openaiResponsesClient_1.OpenAIRe autogen_personality_id: toStringSafe(context.autogen_personality_id), autogen_personality_prompt: toStringSafe(context.autogen_personality_prompt) ? repairAutogenMojibake(String(context.autogen_personality_prompt)) - : null + : null, + source_session_id: null, + saved_session_file: null, + saved_case_set_kind: "single_turn_list" } : null }; diff --git a/llm_normalizer/backend/dist/routes/eval.js b/llm_normalizer/backend/dist/routes/eval.js index 2edc415..261e398 100644 --- a/llm_normalizer/backend/dist/routes/eval.js +++ b/llm_normalizer/backend/dist/routes/eval.js @@ -128,14 +128,23 @@ function splitQuestionCandidate(raw) { } return normalizeRuntimeQuestionList(chunks); } -function normalizeRuntimeQuestions(value) { +function normalizeRuntimeQuestions(value, options) { const raw = toArray(value) .map((item) => (typeof item === "string" ? item.trim() : "")) .filter((item) => item.length > 0); if (raw.length === 0) { return []; } - const expanded = normalizeRuntimeQuestionList(raw.flatMap((item) => splitQuestionCandidate(item))); + const splitCandidates = options?.splitCandidates ?? true; + const expanded = splitCandidates + ? normalizeRuntimeQuestionList(raw.flatMap((item) => splitQuestionCandidate(item))) + : raw + .map((item) => normalizeQuestionChunk(item)) + .filter((item) => Boolean(item)); + const dedupe = options?.dedupe ?? true; + if (!dedupe) { + return expanded; + } const deduped = []; const seen = new Set(); for (const item of expanded) { @@ -272,6 +281,37 @@ function writeRuntimeAssistantSuiteFromQuestions(jobId, questions) { fs_1.default.writeFileSync(path_1.default.resolve(config_1.EVAL_CASES_DIR, fileName), JSON.stringify(payload, null, 2), "utf-8"); return fileName; } +function writeRuntimeAssistantScenarioSuiteFromQuestions(jobId, questions, title) { + if (!fs_1.default.existsSync(config_1.EVAL_CASES_DIR)) { + fs_1.default.mkdirSync(config_1.EVAL_CASES_DIR, { recursive: true }); + } + const turns = questions.map((question) => ({ + user_message: question + })); + const payload = { + suite_id: `assistant_saved_session_runtime_${jobId}`, + suite_version: "0.1.0", + schema_version: "assistant_saved_session_runtime_v0_1", + title: typeof title === "string" ? title.trim() || null : null, + scenario_count: turns.length > 0 ? 1 : 0, + case_ids: turns.length > 0 ? ["SAVED-001"] : [], + cases: turns.length > 0 + ? [ + { + case_id: "SAVED-001", + scenario_tag: "saved_user_sessions_runtime", + title: typeof title === "string" ? title.trim() || null : null, + question_type: turns.length > 1 ? "followup" : "direct", + broadness_level: "medium", + turns + } + ] + : [] + }; + const fileName = `assistant_saved_session_runtime_${jobId}.json`; + fs_1.default.writeFileSync(path_1.default.resolve(config_1.EVAL_CASES_DIR, fileName), JSON.stringify(payload, null, 2), "utf-8"); + return fileName; +} function readSessionConversation(runId, caseId) { const sessionId = `${runId}-${caseId}`; const filePath = path_1.default.resolve(config_1.ASSISTANT_SESSIONS_DIR, `${sessionId}.json`); @@ -414,15 +454,19 @@ function buildEvalRouter(services) { throw new http_1.ApiError("UNSUPPORTED_ASYNC_EVAL_TARGET", "Async eval currently supports assistant_stage1 only.", 400); } const questions = normalizeRuntimeQuestions(body.questions); + const scenarioQuestions = normalizeRuntimeQuestions(body.scenarioQuestions, { dedupe: false, splitCandidates: false }); + const scenarioTitle = toStringSafe(body.scenarioTitle); const jobId = `job-${(0, nanoid_1.nanoid)(10)}`; const runId = `assistant-stage1-${(0, nanoid_1.nanoid)(10)}`; - const runtimeCaseSetFile = questions.length > 0 - ? writeRuntimeAssistantSuiteFromQuestions(jobId, questions) - : payload.caseSetFile - ? payload.caseSetFile - : undefined; + const runtimeCaseSetFile = scenarioQuestions.length > 0 + ? writeRuntimeAssistantScenarioSuiteFromQuestions(jobId, scenarioQuestions, scenarioTitle ?? undefined) + : questions.length > 0 + ? writeRuntimeAssistantSuiteFromQuestions(jobId, questions) + : payload.caseSetFile + ? payload.caseSetFile + : undefined; if (!runtimeCaseSetFile) { - throw new http_1.ApiError("ASYNC_CASESET_REQUIRED", "Async assistant_stage1 run requires caseSetFile or explicit questions[] payload.", 400); + throw new http_1.ApiError("ASYNC_CASESET_REQUIRED", "Async assistant_stage1 run requires caseSetFile, scenarioQuestions[] or explicit questions[] payload.", 400); } const caseSeeds = readAssistantSuiteCaseSeeds(runtimeCaseSetFile); if (caseSeeds.length === 0) { diff --git a/llm_normalizer/backend/dist/server.js b/llm_normalizer/backend/dist/server.js index 5f07467..494b3a1 100644 --- a/llm_normalizer/backend/dist/server.js +++ b/llm_normalizer/backend/dist/server.js @@ -64,7 +64,7 @@ function createApp() { app.use((0, normalize_1.buildNormalizeRouter)(services)); app.use((0, eval_1.buildEvalRouter)(services)); app.use((0, assistant_1.buildAssistantRouter)(services)); - app.use((0, autoRuns_1.buildAutoRunsRouter)(openaiClient)); + app.use((0, autoRuns_1.buildAutoRunsRouter)(services, openaiClient)); app.use((0, history_1.buildHistoryRouter)()); app.use((0, presets_1.buildPresetsRouter)()); app.use((0, accountingAgent_1.buildAccountingAgentRouter)(services)); diff --git a/llm_normalizer/backend/src/routes/autoRuns.ts b/llm_normalizer/backend/src/routes/autoRuns.ts index 630a0cf..1bd36cf 100644 --- a/llm_normalizer/backend/src/routes/autoRuns.ts +++ b/llm_normalizer/backend/src/routes/autoRuns.ts @@ -11,13 +11,14 @@ import { MANUAL_CASE_DECISION_SCHEMA_FILE, REPORTS_DIR } from "../config"; +import type { AppServices } from "../serverContext"; import { ApiError, ok } from "../utils/http"; import { loadCapabilitiesRegistry, resolveNearestCapabilityGroup, type CapabilityGroup } from "../services/capabilitiesRegistry"; import { OpenAIResponsesClient } from "../services/openaiResponsesClient"; type AutoRunTarget = "normalizer" | "assistant_stage1" | "assistant_stage2" | "assistant_p0" | "unknown"; type AutoRunTrend = "up" | "down" | "flat"; -type AutoGenMode = "qwen_seed" | "codex_creative"; +type AutoGenMode = "qwen_seed" | "codex_creative" | "saved_user_sessions"; type ManualCaseDecision = | "covered_ok" | "covered_but_bad_answer" @@ -175,6 +176,7 @@ interface AutoGenHistoryRecord { generation_id: string; created_at: string; mode: AutoGenMode; + title: string | null; count: number; domain: string | null; questions: string[]; @@ -188,6 +190,9 @@ interface AutoGenHistoryRecord { prompt_fingerprint: string | null; autogen_personality_id: string | null; autogen_personality_prompt: string | null; + source_session_id?: string | null; + saved_session_file?: string | null; + saved_case_set_kind?: string | null; } | null; } @@ -269,6 +274,18 @@ function clampInt(value: number | null, min: number, max: number, fallback: numb return rounded; } +function isAutoGenMode(value: unknown): value is AutoGenMode { + return value === "qwen_seed" || value === "codex_creative" || value === "saved_user_sessions"; +} + +function parseAutoGenTitle(value: unknown): string | null { + const title = toStringSafe(value); + if (!title) { + return null; + } + return title.slice(0, 160); +} + function parseManualCaseDecision(value: unknown, fallback: ManualCaseDecision = "needs_dialog_policy_fix"): ManualCaseDecision { const normalized = toStringSafe(value); if (!normalized) return fallback; @@ -326,15 +343,11 @@ function readAutoGenHistory(): AutoGenHistoryRecord[] { .map((item) => ({ generation_id: toStringSafe(item.generation_id) ?? "", created_at: toStringSafe(item.created_at) ?? new Date().toISOString(), - mode: (toStringSafe(item.mode) as AutoGenMode | null) ?? "codex_creative", + mode: isAutoGenMode(toStringSafe(item.mode)) ? (toStringSafe(item.mode) as AutoGenMode) : "codex_creative", + title: parseAutoGenTitle(item.title), count: clampInt(toNumberSafe(item.count), 1, 300, 20), domain: toStringSafe(item.domain), - questions: toArray(item.questions) - .map((q) => toStringSafe(q)) - .filter((q): q is string => q !== null) - .map((q) => sanitizeGeneratedQuestion(q)) - .filter((q) => q.length > 0) - .slice(0, 500), + questions: parseAssistantSessionQuestions(item.questions), generated_by: toStringSafe(item.generated_by), saved_case_set_file: toStringSafe(item.saved_case_set_file), context: toRecord(item.context) @@ -349,7 +362,10 @@ function readAutoGenHistory(): AutoGenHistoryRecord[] { autogen_personality_id: toStringSafe(toRecord(item.context)?.autogen_personality_id), autogen_personality_prompt: toStringSafe(toRecord(item.context)?.autogen_personality_prompt) ? repairAutogenMojibake(String(toRecord(item.context)?.autogen_personality_prompt)) - : null + : null, + source_session_id: toStringSafe(toRecord(item.context)?.source_session_id), + saved_session_file: toStringSafe(toRecord(item.context)?.saved_session_file), + saved_case_set_kind: toStringSafe(toRecord(item.context)?.saved_case_set_kind) } : null })) @@ -1314,7 +1330,7 @@ function parseDecisionFilter(value: unknown): ManualCaseDecision | "all" { function parseAutoGenMode(value: unknown): AutoGenMode { const normalized = toStringSafe(value)?.toLowerCase() ?? ""; - if (normalized === "qwen_seed" || normalized === "codex_creative") { + if (normalized === "qwen_seed" || normalized === "codex_creative" || normalized === "saved_user_sessions") { return normalized; } return "codex_creative"; @@ -1416,6 +1432,13 @@ function sanitizeGeneratedQuestion(value: string): string { .trim(); } +function parseAssistantSessionQuestions(value: unknown): string[] { + return toArray(value) + .map((item) => sanitizeGeneratedQuestion(typeof item === "string" ? item : "")) + .filter((item) => item.length > 0) + .slice(0, 500); +} + const AUTOGEN_QUESTION_PLACEHOLDER_PATTERN = /^(?:questions?|вопросы?|список\s+вопросов)$/iu; const AUTOGEN_QUESTION_TAIL_PATTERNS: RegExp[] = [ /^(?:без\s+воды|по\s+факту|и\s+коротко|коротко|прям(?:\s+)?сейчас|за\s+весь\s+период|по\s+делу)\??$/iu @@ -1723,6 +1746,19 @@ function buildAutogenCaseSetFileName(mode: AutoGenMode, generationId: string): s return `assistant_autogen_${mode}_${stamp}_${generationId}.json`; } +function buildSavedAssistantSessionSnapshotFileName(generationId: string): string { + const now = new Date(); + const stamp = [ + now.getUTCFullYear(), + String(now.getUTCMonth() + 1).padStart(2, "0"), + String(now.getUTCDate()).padStart(2, "0"), + String(now.getUTCHours()).padStart(2, "0"), + String(now.getUTCMinutes()).padStart(2, "0"), + String(now.getUTCSeconds()).padStart(2, "0") + ].join(""); + return `assistant_saved_session_${stamp}_${generationId}.json`; +} + function buildAutogenCaseSetPayload(input: { generationId: string; mode: AutoGenMode; @@ -1757,6 +1793,118 @@ function buildAutogenCaseSetPayload(input: { }; } +function buildSavedSessionCaseSetPayload(input: { + generationId: string; + title: string | null; + questions: string[]; +}): Record { + const questions = parseAssistantSessionQuestions(input.questions); + const turns = questions.map((question) => ({ + user_message: question + })); + const caseId = "SAVED-001"; + return { + suite_id: `assistant_saved_session_${input.generationId}`, + suite_version: "0.1.0", + schema_version: "assistant_saved_session_suite_v0_1", + generated_at: new Date().toISOString(), + generation_id: input.generationId, + mode: "saved_user_sessions", + title: input.title, + scenario_count: turns.length > 0 ? 1 : 0, + case_ids: turns.length > 0 ? [caseId] : [], + cases: + turns.length > 0 + ? [ + { + case_id: caseId, + scenario_tag: "saved_user_sessions", + title: input.title, + question_type: turns.length > 1 ? "followup" : "direct", + broadness_level: "medium", + turns + } + ] + : [] + }; +} + +function ensureDirSync(targetDir: string): void { + if (!fs.existsSync(targetDir)) { + fs.mkdirSync(targetDir, { recursive: true }); + } +} + +function writeJsonFile(targetPath: string, payload: unknown): void { + ensureDirSync(path.dirname(targetPath)); + fs.writeFileSync(targetPath, JSON.stringify(payload, null, 2), "utf-8"); +} + +function rewriteAutoGenCaseSetFile(record: AutoGenHistoryRecord): string | null { + const caseSetFile = toStringSafe(record.saved_case_set_file); + if (!caseSetFile) { + return null; + } + const targetPath = path.resolve(EVAL_CASES_DIR, caseSetFile); + const payload = + record.mode === "saved_user_sessions" + ? buildSavedSessionCaseSetPayload({ + generationId: record.generation_id, + title: record.title, + questions: record.questions + }) + : buildAutogenCaseSetPayload({ + generationId: record.generation_id, + mode: record.mode, + domain: record.domain, + questions: record.questions + }); + writeJsonFile(targetPath, payload); + return caseSetFile; +} + +function writeSavedAssistantSessionSnapshot(input: { + generationId: string; + sessionId: string; + title: string | null; + session: Record; + questions: string[]; +}): string { + const fileName = buildSavedAssistantSessionSnapshotFileName(input.generationId); + const targetPath = path.resolve(path.dirname(AUTORUN_GENERATOR_HISTORY_FILE), "saved_sessions", fileName); + writeJsonFile(targetPath, { + saved_at: new Date().toISOString(), + generation_id: input.generationId, + mode: "saved_user_sessions", + title: input.title, + source_session_id: input.sessionId, + questions: input.questions, + session: input.session + }); + return fileName; +} + +function resolveFileInsideDir(baseDir: string, fileName: string | null | undefined): string | null { + const normalized = toStringSafe(fileName); + if (!normalized) { + return null; + } + const targetPath = path.resolve(baseDir, normalized); + const relative = path.relative(baseDir, targetPath); + if (relative.startsWith("..") || path.isAbsolute(relative)) { + return null; + } + return targetPath; +} + +function safeDeleteFile(targetPath: string | null): string | null { + if (!targetPath || !fs.existsSync(targetPath)) { + return null; + } + fs.unlinkSync(targetPath); + return targetPath; +} + function collectPostAnalysis( annotations: AutoRunAnnotationRecord[], runMap: Map, @@ -1854,7 +2002,7 @@ function collectPostAnalysis( }; } -export function buildAutoRunsRouter(openaiClient = new OpenAIResponsesClient()): Router { +export function buildAutoRunsRouter(services: AppServices, openaiClient = new OpenAIResponsesClient()): Router { const router = Router(); router.get("/api/autoruns/history", (req, res) => { @@ -2251,7 +2399,7 @@ export function buildAutoRunsRouter(openaiClient = new OpenAIResponsesClient()): try { const limit = clampInt(toNumberSafe((req.query as Record).limit), 1, 500, 120); const rawMode = toStringSafe((req.query as Record).mode); - const includeAllModes = !rawMode || !["qwen_seed", "codex_creative"].includes(rawMode); + const includeAllModes = !rawMode || !isAutoGenMode(rawMode); const modeFilter = (rawMode as AutoGenMode | null) ?? "codex_creative"; const items = readAutoGenHistory() .filter((item) => (includeAllModes ? true : item.mode === modeFilter)) @@ -2279,6 +2427,182 @@ export function buildAutoRunsRouter(openaiClient = new OpenAIResponsesClient()): } }); + router.post("/api/autoruns/autogen/save-assistant-session", (req, res, next) => { + try { + const body = toRecord(req.body); + if (!body) { + throw new ApiError("INVALID_AUTOGEN_SAVE_SESSION_PAYLOAD", "JSON body is required", 400); + } + + const sessionId = toStringSafe(body.session_id); + const title = parseAutoGenTitle(body.title); + const generatedBy = parseAnnotationAuthor(body.generated_by); + const context = toRecord(body.context); + + if (!sessionId) { + throw new ApiError("INVALID_AUTOGEN_SAVE_SESSION_PAYLOAD", "session_id is required", 400); + } + if (!title) { + throw new ApiError("INVALID_AUTOGEN_SAVE_SESSION_PAYLOAD", "title is required", 400); + } + + const session = services.assistantService.getSession(sessionId); + if (!session) { + throw new ApiError("ASSISTANT_SESSION_NOT_FOUND", `Session not found: ${sessionId}`, 404); + } + + const questions = session.items + .filter((item: { role: string }) => item.role === "user") + .map((item: { text: string }) => sanitizeGeneratedQuestion(item.text)) + .filter((item: string) => item.length > 0); + + if (questions.length === 0) { + throw new ApiError("ASSISTANT_SESSION_EMPTY", "Assistant session has no user questions to save.", 400); + } + + const generationId = generateAutogenId(); + const caseSetFile = buildAutogenCaseSetFileName("saved_user_sessions", generationId); + const caseSetPath = path.resolve(EVAL_CASES_DIR, caseSetFile); + writeJsonFile( + caseSetPath, + buildSavedSessionCaseSetPayload({ + generationId, + title, + questions + }) + ); + + const snapshotFile = writeSavedAssistantSessionSnapshot({ + generationId, + sessionId, + title, + session: session as unknown as Record, + questions + }); + + const record: AutoGenHistoryRecord = { + generation_id: generationId, + created_at: new Date().toISOString(), + mode: "saved_user_sessions", + title, + count: questions.length, + domain: null, + questions, + generated_by: generatedBy, + saved_case_set_file: caseSetFile, + context: { + llm_provider: toStringSafe(context?.llm_provider), + model: toStringSafe(context?.model), + assistant_prompt_version: toStringSafe(context?.assistant_prompt_version), + decomposition_prompt_version: toStringSafe(context?.decomposition_prompt_version), + prompt_fingerprint: toStringSafe(context?.prompt_fingerprint) + ? repairAutogenMojibake(String(context?.prompt_fingerprint)) + : null, + autogen_personality_id: null, + autogen_personality_prompt: null, + source_session_id: sessionId, + saved_session_file: snapshotFile, + saved_case_set_kind: "assistant_session_scenario" + } + }; + + const history = readAutoGenHistory(); + history.unshift(record); + writeAutoGenHistory(history.slice(0, 500)); + + ok(res, { + ok: true, + generation: record + }); + } catch (error) { + next(error); + } + }); + + router.patch("/api/autoruns/autogen/history/:generation_id/questions", (req, res, next) => { + try { + const generationId = toStringSafe(req.params.generation_id); + const body = toRecord(req.body); + if (!generationId) { + throw new ApiError("INVALID_AUTOGEN_GENERATION_ID", "generation_id is required", 400); + } + if (!body) { + throw new ApiError("INVALID_AUTOGEN_QUESTIONS_PAYLOAD", "JSON body is required", 400); + } + + const questions = parseAssistantSessionQuestions(body.questions); + if (questions.length === 0) { + throw new ApiError("INVALID_AUTOGEN_QUESTIONS_PAYLOAD", "questions must contain at least one item", 400); + } + + const history = readAutoGenHistory(); + const targetIndex = history.findIndex((item) => item.generation_id === generationId); + if (targetIndex < 0) { + throw new ApiError("AUTOGEN_GENERATION_NOT_FOUND", `Generation not found: ${generationId}`, 404); + } + + const current = history[targetIndex]; + const updated: AutoGenHistoryRecord = { + ...current, + count: questions.length, + questions + }; + rewriteAutoGenCaseSetFile(updated); + history[targetIndex] = updated; + writeAutoGenHistory(history); + + ok(res, { + ok: true, + generation: updated + }); + } catch (error) { + next(error); + } + }); + + router.delete("/api/autoruns/autogen/history/:generation_id", (req, res, next) => { + try { + const generationId = toStringSafe(req.params.generation_id); + if (!generationId) { + throw new ApiError("INVALID_AUTOGEN_GENERATION_ID", "generation_id is required", 400); + } + + const history = readAutoGenHistory(); + const targetIndex = history.findIndex((item) => item.generation_id === generationId); + if (targetIndex < 0) { + throw new ApiError("AUTOGEN_GENERATION_NOT_FOUND", `Generation not found: ${generationId}`, 404); + } + + const target = history[targetIndex]; + const deletedFiles: string[] = []; + const caseSetPath = resolveFileInsideDir(EVAL_CASES_DIR, target.saved_case_set_file); + const savedSessionPath = resolveFileInsideDir( + path.resolve(path.dirname(AUTORUN_GENERATOR_HISTORY_FILE), "saved_sessions"), + target.context?.saved_session_file ?? null + ); + + const deletedCaseSet = safeDeleteFile(caseSetPath); + if (deletedCaseSet) { + deletedFiles.push(deletedCaseSet); + } + const deletedSavedSession = safeDeleteFile(savedSessionPath); + if (deletedSavedSession) { + deletedFiles.push(deletedSavedSession); + } + + history.splice(targetIndex, 1); + writeAutoGenHistory(history); + + ok(res, { + ok: true, + generation_id: generationId, + deleted_files: deletedFiles + }); + } catch (error) { + next(error); + } + }); + router.post("/api/autoruns/autogen/generate", async (req, res, next) => { try { const body = toRecord(req.body); @@ -2294,6 +2618,14 @@ export function buildAutoRunsRouter(openaiClient = new OpenAIResponsesClient()): const llmConfig = parseAutogenLlmRuntimeConfig(body, context); const personalityPrompt = toStringSafe(context?.autogen_personality_prompt); + if (mode === "saved_user_sessions") { + throw new ApiError( + "AUTOGEN_MODE_NOT_SUPPORTED", + "Use `/api/autoruns/autogen/save-assistant-session` to save user sessions.", + 400 + ); + } + let questions: string[] = []; if (mode === "qwen_seed") { if (!llmConfig) { @@ -2340,6 +2672,7 @@ export function buildAutoRunsRouter(openaiClient = new OpenAIResponsesClient()): generation_id: generationId, created_at: new Date().toISOString(), mode, + title: null, count: questions.length, domain, questions, @@ -2357,7 +2690,10 @@ export function buildAutoRunsRouter(openaiClient = new OpenAIResponsesClient()): autogen_personality_id: toStringSafe(context.autogen_personality_id), autogen_personality_prompt: toStringSafe(context.autogen_personality_prompt) ? repairAutogenMojibake(String(context.autogen_personality_prompt)) - : null + : null, + source_session_id: null, + saved_session_file: null, + saved_case_set_kind: "single_turn_list" } : null }; diff --git a/llm_normalizer/backend/src/routes/eval.ts b/llm_normalizer/backend/src/routes/eval.ts index 2c1186f..36d3314 100644 --- a/llm_normalizer/backend/src/routes/eval.ts +++ b/llm_normalizer/backend/src/routes/eval.ts @@ -176,7 +176,7 @@ function splitQuestionCandidate(raw: string): string[] { return normalizeRuntimeQuestionList(chunks); } -function normalizeRuntimeQuestions(value: unknown): string[] { +function normalizeRuntimeQuestions(value: unknown, options?: { dedupe?: boolean; splitCandidates?: boolean }): string[] { const raw = toArray(value) .map((item) => (typeof item === "string" ? item.trim() : "")) .filter((item) => item.length > 0); @@ -184,7 +184,16 @@ function normalizeRuntimeQuestions(value: unknown): string[] { return []; } - const expanded = normalizeRuntimeQuestionList(raw.flatMap((item) => splitQuestionCandidate(item))); + const splitCandidates = options?.splitCandidates ?? true; + const expanded = splitCandidates + ? normalizeRuntimeQuestionList(raw.flatMap((item) => splitQuestionCandidate(item))) + : raw + .map((item) => normalizeQuestionChunk(item)) + .filter((item): item is string => Boolean(item)); + const dedupe = options?.dedupe ?? true; + if (!dedupe) { + return expanded; + } const deduped: string[] = []; const seen = new Set(); for (const item of expanded) { @@ -342,6 +351,39 @@ function writeRuntimeAssistantSuiteFromQuestions(jobId: string, questions: strin return fileName; } +function writeRuntimeAssistantScenarioSuiteFromQuestions(jobId: string, questions: string[], title?: string): string { + if (!fs.existsSync(EVAL_CASES_DIR)) { + fs.mkdirSync(EVAL_CASES_DIR, { recursive: true }); + } + const turns = questions.map((question) => ({ + user_message: question + })); + const payload = { + suite_id: `assistant_saved_session_runtime_${jobId}`, + suite_version: "0.1.0", + schema_version: "assistant_saved_session_runtime_v0_1", + title: typeof title === "string" ? title.trim() || null : null, + scenario_count: turns.length > 0 ? 1 : 0, + case_ids: turns.length > 0 ? ["SAVED-001"] : [], + cases: + turns.length > 0 + ? [ + { + case_id: "SAVED-001", + scenario_tag: "saved_user_sessions_runtime", + title: typeof title === "string" ? title.trim() || null : null, + question_type: turns.length > 1 ? "followup" : "direct", + broadness_level: "medium", + turns + } + ] + : [] + }; + const fileName = `assistant_saved_session_runtime_${jobId}.json`; + fs.writeFileSync(path.resolve(EVAL_CASES_DIR, fileName), JSON.stringify(payload, null, 2), "utf-8"); + return fileName; +} + function readSessionConversation(runId: string, caseId: string): EvalAsyncCaseInfo["messages"] { const sessionId = `${runId}-${caseId}`; const filePath = path.resolve(ASSISTANT_SESSIONS_DIR, `${sessionId}.json`); @@ -489,11 +531,15 @@ export function buildEvalRouter(services: AppServices): Router { throw new ApiError("UNSUPPORTED_ASYNC_EVAL_TARGET", "Async eval currently supports assistant_stage1 only.", 400); } const questions = normalizeRuntimeQuestions(body.questions); + const scenarioQuestions = normalizeRuntimeQuestions(body.scenarioQuestions, { dedupe: false, splitCandidates: false }); + const scenarioTitle = toStringSafe(body.scenarioTitle); const jobId = `job-${nanoid(10)}`; const runId = `assistant-stage1-${nanoid(10)}`; const runtimeCaseSetFile = - questions.length > 0 + scenarioQuestions.length > 0 + ? writeRuntimeAssistantScenarioSuiteFromQuestions(jobId, scenarioQuestions, scenarioTitle ?? undefined) + : questions.length > 0 ? writeRuntimeAssistantSuiteFromQuestions(jobId, questions) : payload.caseSetFile ? payload.caseSetFile @@ -502,7 +548,7 @@ export function buildEvalRouter(services: AppServices): Router { if (!runtimeCaseSetFile) { throw new ApiError( "ASYNC_CASESET_REQUIRED", - "Async assistant_stage1 run requires caseSetFile or explicit questions[] payload.", + "Async assistant_stage1 run requires caseSetFile, scenarioQuestions[] or explicit questions[] payload.", 400 ); } diff --git a/llm_normalizer/backend/src/server.ts b/llm_normalizer/backend/src/server.ts index f715445..bebad26 100644 --- a/llm_normalizer/backend/src/server.ts +++ b/llm_normalizer/backend/src/server.ts @@ -76,7 +76,7 @@ export function createApp(): express.Express { app.use(buildNormalizeRouter(services)); app.use(buildEvalRouter(services)); app.use(buildAssistantRouter(services)); - app.use(buildAutoRunsRouter(openaiClient)); + app.use(buildAutoRunsRouter(services, openaiClient)); app.use(buildHistoryRouter()); app.use(buildPresetsRouter()); app.use(buildAccountingAgentRouter(services)); diff --git a/llm_normalizer/data/autorun_generators/history.json b/llm_normalizer/data/autorun_generators/history.json index 95fdf4c..450cabb 100644 --- a/llm_normalizer/data/autorun_generators/history.json +++ b/llm_normalizer/data/autorun_generators/history.json @@ -1,8 +1,34 @@ [ + { + "generation_id": "gen-mo1s0m9z-ndf56a3", + "created_at": "2026-04-16T17:51:50.476Z", + "mode": "saved_user_sessions", + "title": "Ручная сессия 16.04.2026, 20:51:30", + "count": 1, + "domain": null, + "questions": [ + "привет как дела" + ], + "generated_by": "manual_reviewer", + "saved_case_set_file": "assistant_autogen_saved_user_sessions_20260416175150_gen-mo1s0m9z-ndf56a3.json", + "context": { + "llm_provider": "local", + "model": "unsloth/qwen3-30b-a3b-instruct-2507", + "assistant_prompt_version": "address_query_runtime_v1", + "decomposition_prompt_version": "normalizer_v2_0_2", + "prompt_fingerprint": "Ты semantic-normalizer для бухгалтерского ассистента NDC.\nТвоя роль: только нормализация запроса пользователя в строгий JSON-контракт.\n\nЖесткие правила:\n1) Не давай бухгалтерский ответ по сути вопроса.\n2) Возвращай только JSON без markdown и пояснений.\n3) JSON обязан соответствовать переданной schema normalized_query_v1.\n4) Если период не указан, не выдумывай его; отмечай ambiguity.\n5) Для цепочек документов/проводок/оплат поднимай causal и cross-entity признаки.\n6) Для точечного object trace (номер/строка/ref) поднимай needs_exact_object_trace=true.\n7) Используй терминологию NDC.||You are semantic-normalizer for accounting assistant NDC.\nReturn strict JSON only, no markdown, no comments.\n\nTarget schema: normalized_query_v2_0_2.\n\nCore behavior (v2.0.2):\n1. Decompose message into semantic fragments.\n2. Classify fragment domain relevance and business scope.\n3. Fill route-critical flags and candidate labels.\n4. For each fragment set execution state fields:\n - execution_readiness\n - clarification_reason\n - soft_assumption_used\n - route_status\n - no_route_reason\n5. Clarification must be rare and justified.\n\nExecution-state policy:\n- Every in-scope fragment must produce a consistent execution state.\n- If a fragment is routable, mark it as executable or executable_with_soft_assumptions.\n- Do not leave routable fragments in unresolved state.\n- If a fragment cannot be routed, set route_status=no_route and provide explicit no_route_reason.\n\nReadiness values:\n- executable\n- executable_with_soft_assumptions\n- needs_clarification\n- no_route\n\nRoute status values:\n- routed\n- no_route\n\nNo-route reason values:\n- out_of_scope\n- insufficient_specificity\n- missing_mapping\n- unsupported_fragment_type\n\nDo not over-require formality:\n- Do not require document IDs, exact periods, or exact object references for scan/review/anomaly/rule-check requests.\n- Colloquial accounting phrases like \"что висит\", \"что подозрительно\", \"что не сходится\", \"что криво\", \"что аукнется\" are executable if accounting area is understandable.\n\nFragment required fields:\n- fragment_id\n- raw_fragment_text\n- normalized_fragment_text\n- domain_relevance\n- business_scope\n- entity_hints\n- account_hints\n- document_hints\n- register_hints\n- time_scope\n- flags\n- candidate_labels\n- confidence\n- execution_readiness\n- clarification_reason\n- soft_assumption_used\n- route_status\n- no_route_reason\n\nSoft assumptions (`soft_assumption_used`) allowed values:\n- period_from_session_context\n- company_scope_defaulted\n- problem_scan_mode_enabled\n\nGlobal notes:\n- global_notes.needs_clarification should be true only when execution is truly blocked for all in-scope fragments.\n- global_notes.clarification_reason must explain the blocker.\n\nSchema version must be:\n- \"schema_version\": \"normalized_query_v2_0_2\"||Контекст домена: бухгалтерия 1С/NDC.\n\nКлючевые счета:\n- 01, 02, 10, 41, 51, 60, 62, 68.02, 90, 97.\n\nТиповые сущности:\n- контрагент, договор, документ реализации, документ поступления, оплата, проводка, регистр, закрывающий документ.\n\nЛексика causal и сверки (сильные сигналы для cross_entity):\n- \"не бьется\", \"не сходится\", \"не видно\", \"не собралось\", \"повисло\", \"хвост\";\n- \"разложи по документам/оплатам/закрывающим\";\n- \"чем подтверждается\", \"где ошибка в цепочке\", \"что пошло криво\".\n\nЛексика точечного drilldown:\n- \"документ №...\", \"ref\", \"строка проводки\", \"покажи конкретную операцию\", \"точный source-of-record\".\n\nЛексика rule-based контроля:\n- \"проверь настройки\", \"ошибка срока/даты\", \"контроль 97/10/ОС\", \"нарушение правила учета\".\n\nЛексика обзорной аналитики:\n- \"рейтинг\", \"топ рисков\", \"в целом по компании\", \"перед закрытием периода\", \"приоритизация проверок\".\n\nВажное правило:\nЕсли в одном вопросе есть и риск-лексика, и цепочка document/payment/posting, не понижать задачу до чистого `store_feature_risk`.\nПриоритет у causal cross-entity семантики.||v2.0.2: execution-state hardening + explicit route_status/no_route_reason. Схема normalized_query_v2_0_2.||Q: По каким поставщикам висят хвосты по 60, что подозрительно по цепочке оплат?\nA: in_scope fragment, execution_readiness=executable_with_soft_assumptions, route_status=routed, no_route_reason=null.\n\nQ: Покажи записи по 97, которые повисли и могут аукнуться.\nA: in_scope fragment, execution_readiness=executable_with_soft_assumptions, route_status=routed, no_route_reason=null.\n\nQ: Чекни, что у нас не так.\nA: unclear/in_scope fragment, execution_readiness=needs_clarification, route_status=no_route, no_route_reason=insufficient_specificity.\n\nQ: Как вообще по ФСБУ правильно?\nA: out_of_scope fragment, execution_readiness=no_route, route_status=no_route, no_route_reason=out_of_scope.", + "autogen_personality_id": null, + "autogen_personality_prompt": null, + "source_session_id": "asst-iIpNheKZpP", + "saved_session_file": "assistant_saved_session_20260416175150_gen-mo1s0m9z-ndf56a3.json", + "saved_case_set_kind": "assistant_session_scenario" + } + }, { "generation_id": "gen-mnubheq4-7h5v00u", "created_at": "2026-04-11T12:34:37.133Z", "mode": "qwen_seed", + "title": null, "count": 15, "domain": null, "questions": [ @@ -31,13 +57,17 @@ "decomposition_prompt_version": "normalizer_v2_0_2", "prompt_fingerprint": "Ты semantic-normalizer для бухгалтерского ассистента NDC.\nТвоя роль: только нормализация запроса пользователя в строгий JSON-контракт.\n\nЖесткие правила:\n1) Не давай бухгалтерский ответ по сути вопроса.\n2) Возвращай только JSON без markdown и пояснений.\n3) JSON обязан соответствовать переданной schema normalized_query_v1.\n4) Если период не указан, не выдумывай его; отмечай ambiguity.\n5) Для цепочек документов/проводок/оплат поднимай causal и cross-entity признаки.\n6) Для точечного object trace (номер/строка/ref) поднимай needs_exact_object_trace=true.\n7) Используй терминологию NDC.\nYou are semantic-normalizer for accounting assistant NDC.\nReturn strict JSON only, no markdown, no comments.\n\nTarget schema: normalized_query_v2_0_2.\n\nCore behavior (v2.0.2):\n1. Decompose message into semantic fragments.\n2. Classify fragment domain relevance and business scope.\n3. Fill route-critical flags and ", "autogen_personality_id": "general", - "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл. акцент на контрагентов, долги нсд, счета, общий вывод по компании - контрагенты, заказчикам, скока денег кто принес и какие остатки по счетам, поиск документов, сальдо, банковские операции, незакрытые договора, документы по договорам, долги, Активность заказчиков по периодам, Поставщики и выплаты" + "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл. акцент на контрагентов, долги нсд, счета, общий вывод по компании - контрагенты, заказчикам, скока денег кто принес и какие остатки по счетам, поиск документов, сальдо, банковские операции, незакрытые договора, документы по договорам, долги, Активность заказчиков по периодам, Поставщики и выплаты", + "source_session_id": null, + "saved_session_file": null, + "saved_case_set_kind": null } }, { "generation_id": "gen-mnua8bfg-00u7c2z", "created_at": "2026-04-11T11:59:33.340Z", "mode": "qwen_seed", + "title": null, "count": 15, "domain": null, "questions": [ @@ -66,13 +96,17 @@ "decomposition_prompt_version": "normalizer_v2_0_2", "prompt_fingerprint": "Ты semantic-normalizer для бухгалтерского ассистента NDC.\nТвоя роль: только нормализация запроса пользователя в строгий JSON-контракт.\n\nЖесткие правила:\n1) Не давай бухгалтерский ответ по сути вопроса.\n2) Возвращай только JSON без markdown и пояснений.\n3) JSON обязан соответствовать переданной schema normalized_query_v1.\n4) Если период не указан, не выдумывай его; отмечай ambiguity.\n5) Для цепочек документов/проводок/оплат поднимай causal и cross-entity признаки.\n6) Для точечного object trace (номер/строка/ref) поднимай needs_exact_object_trace=true.\n7) Используй терминологию NDC.\nYou are semantic-normalizer for accounting assistant NDC.\nReturn strict JSON only, no markdown, no comments.\n\nTarget schema: normalized_query_v2_0_2.\n\nCore behavior (v2.0.2):\n1. Decompose message into semantic fragments.\n2. Classify fragment domain relevance and business scope.\n3. Fill route-critical flags and ", "autogen_personality_id": "general", - "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл. акцент на контрагентов, долги нсд, счета, общий вывод по компании - контрагенты, заказчикам, скока денег кто принес и какие остатки по счетам, поиск документов, сальдо, банковские операции, незакрытые договора, документы по договорам, долги, Активность заказчиков по периодам, Поставщики и выплаты" + "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл. акцент на контрагентов, долги нсд, счета, общий вывод по компании - контрагенты, заказчикам, скока денег кто принес и какие остатки по счетам, поиск документов, сальдо, банковские операции, незакрытые договора, документы по договорам, долги, Активность заказчиков по периодам, Поставщики и выплаты", + "source_session_id": null, + "saved_session_file": null, + "saved_case_set_kind": null } }, { "generation_id": "gen-mnte8abx-ax3v3tr", "created_at": "2026-04-10T21:03:44.205Z", "mode": "qwen_seed", + "title": null, "count": 10, "domain": null, "questions": [ @@ -96,13 +130,17 @@ "decomposition_prompt_version": "normalizer_v2_0_2", "prompt_fingerprint": "Ты semantic-normalizer для бухгалтерского ассистента NDC.\nТвоя роль: только нормализация запроса пользователя в строгий JSON-контракт.\n\nЖесткие правила:\n1) Не давай бухгалтерский ответ по сути вопроса.\n2) Возвращай только JSON без markdown и пояснений.\n3) JSON обязан соответствовать переданной schema normalized_query_v1.\n4) Если период не указан, не выдумывай его; отмечай ambiguity.\n5) Для цепочек документов/проводок/оплат поднимай causal и cross-entity признаки.\n6) Для точечного object trace (номер/строка/ref) поднимай needs_exact_object_trace=true.\n7) Используй терминологию NDC.\nYou are semantic-normalizer for accounting assistant NDC.\nReturn strict JSON only, no markdown, no comments.\n\nTarget schema: normalized_query_v2_0_2.\n\nCore behavior (v2.0.2):\n1. Decompose message into semantic fragments.\n2. Classify fragment domain relevance and business scope.\n3. Fill route-critical flags and ", "autogen_personality_id": "general", - "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл. акцент на контрагентов, долги нсд, счета, общий вывод по компании - контрагенты, заказчикам, скока денег кто принес и какие остатки по счетам, поиск документов, сальдо, банковские операции, незакрытые договора, документы по договорам, долги, Активность заказчиков по периодам, Поставщики и выплаты" + "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл. акцент на контрагентов, долги нсд, счета, общий вывод по компании - контрагенты, заказчикам, скока денег кто принес и какие остатки по счетам, поиск документов, сальдо, банковские операции, незакрытые договора, документы по договорам, долги, Активность заказчиков по периодам, Поставщики и выплаты", + "source_session_id": null, + "saved_session_file": null, + "saved_case_set_kind": null } }, { "generation_id": "gen-mnte6y9p-4v1kfbw", "created_at": "2026-04-10T21:02:41.918Z", "mode": "qwen_seed", + "title": null, "count": 10, "domain": null, "questions": [ @@ -126,13 +164,17 @@ "decomposition_prompt_version": "normalizer_v2_0_2", "prompt_fingerprint": "Ты semantic-normalizer для бухгалтерского ассистента NDC.\nТвоя роль: только нормализация запроса пользователя в строгий JSON-контракт.\n\nЖесткие правила:\n1) Не давай бухгалтерский ответ по сути вопроса.\n2) Возвращай только JSON без markdown и пояснений.\n3) JSON обязан соответствовать переданной schema normalized_query_v1.\n4) Если период не указан, не выдумывай его; отмечай ambiguity.\n5) Для цепочек документов/проводок/оплат поднимай causal и cross-entity признаки.\n6) Для точечного object trace (номер/строка/ref) поднимай needs_exact_object_trace=true.\n7) Используй терминологию NDC.\nYou are semantic-normalizer for accounting assistant NDC.\nReturn strict JSON only, no markdown, no comments.\n\nTarget schema: normalized_query_v2_0_2.\n\nCore behavior (v2.0.2):\n1. Decompose message into semantic fragments.\n2. Classify fragment domain relevance and business scope.\n3. Fill route-critical flags and ", "autogen_personality_id": "general", - "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл. акцент на контрагентов, долги нсд, счета, общий вывод по компании - контрагенты, заказчикам, скока денег кто принес и какие остатки по счетам, поиск документов, сальдо, банковские операции, незакрытые договора, документы по договорам, долги, Активность заказчиков по периодам, Поставщики и выплаты" + "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл. акцент на контрагентов, долги нсд, счета, общий вывод по компании - контрагенты, заказчикам, скока денег кто принес и какие остатки по счетам, поиск документов, сальдо, банковские операции, незакрытые договора, документы по договорам, долги, Активность заказчиков по периодам, Поставщики и выплаты", + "source_session_id": null, + "saved_session_file": null, + "saved_case_set_kind": null } }, { "generation_id": "gen-mnsolawk-vugqyoc", "created_at": "2026-04-10T09:06:01.461Z", "mode": "qwen_seed", + "title": null, "count": 20, "domain": null, "questions": [ @@ -166,13 +208,17 @@ "decomposition_prompt_version": "normalizer_v2_0_2", "prompt_fingerprint": "Ты semantic-normalizer для бухгалтерского ассистента NDC.\nТвоя роль: только нормализация запроса пользователя в строгий JSON-контракт.\n\nЖесткие правила:\n1) Не давай бухгалтерский ответ по сути вопроса.\n2) Возвращай только JSON без markdown и пояснений.\n3) JSON обязан соответствовать переданной schema normalized_query_v1.\n4) Если период не указан, не выдумывай его; отмечай ambiguity.\n5) Для цепочек документов/проводок/оплат поднимай causal и cross-entity признаки.\n6) Для точечного object trace (номер/строка/ref) поднимай needs_exact_object_trace=true.\n7) Используй терминологию NDC.\nYou are semantic-normalizer for accounting assistant NDC.\nReturn strict JSON only, no markdown, no comments.\n\nTarget schema: normalized_query_v2_0_2.\n\nCore behavior (v2.0.2):\n1. Decompose message into semantic fragments.\n2. Classify fragment domain relevance and business scope.\n3. Fill route-critical flags and ", "autogen_personality_id": "general", - "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл. акцент на контрагентов \\ нсд \\ счета \\ общий ваывод по компании - контрагенты заказчиким скока денег кто принес и тп" + "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл. акцент на контрагентов \\ нсд \\ счета \\ общий ваывод по компании - контрагенты заказчиким скока денег кто принес и тп", + "source_session_id": null, + "saved_session_file": null, + "saved_case_set_kind": null } }, { "generation_id": "gen-mnsmzzcr-ffcz48q", "created_at": "2026-04-10T08:21:27.099Z", "mode": "qwen_seed", + "title": null, "count": 20, "domain": null, "questions": [ @@ -206,13 +252,17 @@ "decomposition_prompt_version": "normalizer_v2_0_2", "prompt_fingerprint": "Ты semantic-normalizer для бухгалтерского ассистента NDC.\nТвоя роль: только нормализация запроса пользователя в строгий JSON-контракт.\n\nЖесткие правила:\n1) Не давай бухгалтерский ответ по сути вопроса.\n2) Возвращай только JSON без markdown и пояснений.\n3) JSON обязан соответствовать переданной schema normalized_query_v1.\n4) Если период не указан, не выдумывай его; отмечай ambiguity.\n5) Для цепочек документов/проводок/оплат поднимай causal и cross-entity признаки.\n6) Для точечного object trace (номер/строка/ref) поднимай needs_exact_object_trace=true.\n7) Используй терминологию NDC.\nYou are semantic-normalizer for accounting assistant NDC.\nReturn strict JSON only, no markdown, no comments.\n\nTarget schema: normalized_query_v2_0_2.\n\nCore behavior (v2.0.2):\n1. Decompose message into semantic fragments.\n2. Classify fragment domain relevance and business scope.\n3. Fill route-critical flags and ", "autogen_personality_id": "general", - "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл. акцент на контрагентов \\ нсд \\ счета \\ общий ваывод по компании - контрагенты заказчиким скока денег кто принес и тп" + "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл. акцент на контрагентов \\ нсд \\ счета \\ общий ваывод по компании - контрагенты заказчиким скока денег кто принес и тп", + "source_session_id": null, + "saved_session_file": null, + "saved_case_set_kind": null } }, { "generation_id": "gen-mnrvs132-1dewq5r", "created_at": "2026-04-09T19:39:26.463Z", "mode": "qwen_seed", + "title": null, "count": 5, "domain": null, "questions": [ @@ -231,13 +281,17 @@ "decomposition_prompt_version": "normalizer_v2_0_2", "prompt_fingerprint": "Ты semantic-normalizer для бухгалтерского ассистента NDC.\nТвоя роль: только нормализация запроса пользователя в строгий JSON-контракт.\n\nЖесткие правила:\n1) Не давай бухгалтерский ответ по сути вопроса.\n2) Возвращай только JSON без markdown и пояснений.\n3) JSON обязан соответствовать переданной schema normalized_query_v1.\n4) Если период не указан, не выдумывай его; отмечай ambiguity.\n5) Для цепочек документов/проводок/оплат поднимай causal и cross-entity признаки.\n6) Для точечного object trace (номер/строка/ref) поднимай needs_exact_object_trace=true.\n7) Используй терминологию NDC.\nYou are semantic-normalizer for accounting assistant NDC.\nReturn strict JSON only, no markdown, no comments.\n\nTarget schema: normalized_query_v2_0_2.\n\nCore behavior (v2.0.2):\n1. Decompose message into semantic fragments.\n2. Classify fragment domain relevance and business scope.\n3. Fill route-critical flags and ", "autogen_personality_id": "general", - "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл." + "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл.", + "source_session_id": null, + "saved_session_file": null, + "saved_case_set_kind": null } }, { "generation_id": "gen-mnrvqxcg-wa3jsro", "created_at": "2026-04-09T19:38:34.961Z", "mode": "qwen_seed", + "title": null, "count": 5, "domain": null, "questions": [ @@ -256,13 +310,17 @@ "decomposition_prompt_version": "normalizer_v2_0_2", "prompt_fingerprint": "Ты semantic-normalizer для бухгалтерского ассистента NDC.\nТвоя роль: только нормализация запроса пользователя в строгий JSON-контракт.\n\nЖесткие правила:\n1) Не давай бухгалтерский ответ по сути вопроса.\n2) Возвращай только JSON без markdown и пояснений.\n3) JSON обязан соответствовать переданной schema normalized_query_v1.\n4) Если период не указан, не выдумывай его; отмечай ambiguity.\n5) Для цепочек документов/проводок/оплат поднимай causal и cross-entity признаки.\n6) Для точечного object trace (номер/строка/ref) поднимай needs_exact_object_trace=true.\n7) Используй терминологию NDC.\nYou are semantic-normalizer for accounting assistant NDC.\nReturn strict JSON only, no markdown, no comments.\n\nTarget schema: normalized_query_v2_0_2.\n\nCore behavior (v2.0.2):\n1. Decompose message into semantic fragments.\n2. Classify fragment domain relevance and business scope.\n3. Fill route-critical flags and ", "autogen_personality_id": "general", - "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл." + "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл.", + "source_session_id": null, + "saved_session_file": null, + "saved_case_set_kind": null } }, { "generation_id": "gen-mnrshzcm-xyiv4gs", "created_at": "2026-04-09T18:07:38.807Z", "mode": "qwen_seed", + "title": null, "count": 10, "domain": null, "questions": [ @@ -286,13 +344,17 @@ "decomposition_prompt_version": "normalizer_v2_0_2", "prompt_fingerprint": "Ты semantic-normalizer для бухгалтерского ассистента NDC.\nТвоя роль: только нормализация запроса пользователя в строгий JSON-контракт.\n\nЖесткие правила:\n1) Не давай бухгалтерский ответ по сути вопроса.\n2) Возвращай только JSON без markdown и пояснений.\n3) JSON обязан соответствовать переданной schema normalized_query_v1.\n4) Если период не указан, не выдумывай его; отмечай ambiguity.\n5) Для цепочек документов/проводок/оплат поднимай causal и cross-entity признаки.\n6) Для точечного object trace (номер/строка/ref) поднимай needs_exact_object_trace=true.\n7) Используй терминологию NDC.\nYou are semantic-normalizer for accounting assistant NDC.\nReturn strict JSON only, no markdown, no comments.\n\nTarget schema: normalized_query_v2_0_2.\n\nCore behavior (v2.0.2):\n1. Decompose message into semantic fragments.\n2. Classify fragment domain relevance and business scope.\n3. Fill route-critical flags and ", "autogen_personality_id": "general", - "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл." + "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл.", + "source_session_id": null, + "saved_session_file": null, + "saved_case_set_kind": null } }, { "generation_id": "gen-mnrrdfbj-mrcxcjg", "created_at": "2026-04-09T17:36:06.608Z", "mode": "qwen_seed", + "title": null, "count": 10, "domain": null, "questions": [ @@ -316,13 +378,17 @@ "decomposition_prompt_version": "normalizer_v2_0_2", "prompt_fingerprint": "Ты semantic-normalizer для бухгалтерского ассистента NDC.\nТвоя роль: только нормализация запроса пользователя в строгий JSON-контракт.\n\nЖесткие правила:\n1) Не давай бухгалтерский ответ по сути вопроса.\n2) Возвращай только JSON без markdown и пояснений.\n3) JSON обязан соответствовать переданной schema normalized_query_v1.\n4) Если период не указан, не выдумывай его; отмечай ambiguity.\n5) Для цепочек документов/проводок/оплат поднимай causal и cross-entity признаки.\n6) Для точечного object trace (номер/строка/ref) поднимай needs_exact_object_trace=true.\n7) Используй терминологию NDC.\nYou are semantic-normalizer for accounting assistant NDC.\nReturn strict JSON only, no markdown, no comments.\n\nTarget schema: normalized_query_v2_0_2.\n\nCore behavior (v2.0.2):\n1. Decompose message into semantic fragments.\n2. Classify fragment domain relevance and business scope.\n3. Fill route-critical flags and", "autogen_personality_id": "general", - "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл." + "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл.", + "source_session_id": null, + "saved_session_file": null, + "saved_case_set_kind": null } }, { "generation_id": "gen-mnrnrwtc-za8a8o0", "created_at": "2026-04-09T15:55:24.001Z", "mode": "qwen_seed", + "title": null, "count": 20, "domain": null, "questions": [ @@ -356,13 +422,17 @@ "decomposition_prompt_version": "normalizer_v2_0_2", "prompt_fingerprint": "Ты semantic-normalizer для бухгалтерского ассистента NDC.\nТвоя роль: только нормализация запроса пользователя в строгий JSON-контракт.\n\nЖесткие правила:\n1) Не давай бухгалтерский ответ по сути вопроса.\n2) Возвращай только JSON без markdown и пояснений.\n3) JSON обязан соответствовать переданной schema normalized_query_v1.\n4) Если период не указан, не выдумывай его; отмечай ambiguity.\n5) Для цепочек документов/проводок/оплат поднимай causal и cross-entity признаки.\n6) Для точечного object trace (номер/строка/ref) поднимай needs_exact_object_trace=true.\n7) Используй терминологию NDC.\nYou are semantic-normalizer for accounting assistant NDC.\nReturn strict JSON only, no markdown, no comments.\n\nTarget schema: normalized_query_v2_0_2.\n\nCore behavior (v2.0.2):\n1. Decompose message into semantic fragments.\n2. Classify fragment domain relevance and business scope.\n3. Fill route-critical flags and", "autogen_personality_id": "general", - "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл." + "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл.", + "source_session_id": null, + "saved_session_file": null, + "saved_case_set_kind": null } }, { "generation_id": "gen-mnrmoiey-j9akyvu", "created_at": "2026-04-09T15:24:45.754Z", "mode": "qwen_seed", + "title": null, "count": 2, "domain": "settlements", "questions": [ @@ -378,81 +448,10 @@ "decomposition_prompt_version": null, "prompt_fingerprint": null, "autogen_personality_id": null, - "autogen_personality_prompt": "????????? ??????? ??????? ?? ????????." - } - }, - { - "generation_id": "gen-mnrmc8bu-wv7c3o0", - "created_at": "2026-04-09T15:15:12.810Z", - "mode": "qwen_seed", - "count": 54, - "domain": null, - "questions": [ - "{\"questions\":[\"По каким покупателям у нас на конец месяца хвосты с отгрузками без денег уже стали нормой и требуют проверки?\",\"Где по контрагентам висит история 'отгрузили - денег нет - закрытия нет', которая точно нуждается в ручной проверке?\",\"Покажи контрагентов, у которых сальдо скорее всего не совпадет с их актуальным актом сверки сейчас.\",\"Где есть оплаты, но отсутствуют документы для закрытия взаиморасчетов?\",\"По каким контрагентам документы есть, а нормального закрытия оплатами нет вовсе?\",\"Есть ли зависшие авансы, которые давно надо было перепроверить или уже списать как неликвидные?\",\"Какие реализации на конец периода выглядят так, будто они зависли и могут испортить картину по выручке без проверки?\",\"По каким отгрузкам видно, что проблема не просто в оплате клиента, а в кривой сборке документов изначально?\",\"Где у нас есть непогашенные задолженности поставщикам, которые уже давно требуют прокрутки и анализа?\",\"Какие счета-фактуры выставлены, но не оплачены на конец месяца - нужно их проверить или отозвать?\",\"Покажи контрагентов, у которых висят отгрузки без документов подтверждения принятия. Это уже проблема или еще нет?\",\"Есть ли такие покупатели, по которым сальдо точно не совпадает с актуальным состоянием их расчетов - нужно проверить и исправить?\",\"Где есть документы, но оплаты не приходят, хотя все сроки давно прошли?\",\"Какие отгрузки на конец периода выглядят так, будто они зависли и будут портить картину по выручке без прокрутки?\",\"По каким контрагентам видно, что проблема в сборе документов изначально, а не просто в задержке оплаты клиентом?\",\"Где у нас есть непогашенные авансы покупателей, которые давно требуют пересмотра и анализа?\",\"Какие счета-фактуры выставлены, но не отражены в документах подтверждения принятия - нужно их проверить или отозвать?\",\"Покажи контрагентов, у которых сальдо точно не совпадает с актуальным состоянием расчетов. Это уже проблема или еще нет?\",\"Где есть оплаты, но документов для закрытия взаиморасчетов все равно не хватает?\",\"По каким контрагентам документы есть, а нормального закрытия оплатами так и не видно - это уже проблема или еще нет?\",\"Есть ли такие зависшие авансы, которые давно надо было перепроверить или списать как неликвидные?\",\"Какие реализации на конец периода выглядят так, будто они зависли и могут испортить картину по выручке без проверки?\",\"По каким отгрузкам видно, что проблема не просто в оплате клиента, а в кривой сборке документов изначально?\",\"Где у нас есть непогашенные задолженности поставщикам, которые уже давно требуют прокрутки и анализа?\",\"Какие счета-фактуры выставлены, но не оплачены на конец месяца - нужно их проверить или отозвать?\",\"Покажи контрагентов, у которых висят отгрузки без документов подтверждения принятия. Это уже проблема или еще нет?\",\"Есть ли такие покупатели, по которым сальдо точно не совпадает с актуальным состоянием их расчетов - нужно проверить", - "йо По каким поставщикам у нас на конец месяца остались хвосты, которые уже не похожи на обычную задержку документов, а выглядят как реальная проблема в цепочке?", - "слушай Где по покупателям у нас висит история \"отгрузили - денег нет - закрытия нет\", и по каким контрагентам это уже требует ручной проверки? без воды", - "подскажи плиз Покажи контрагентов, по которым сальдо у нас, скорее всего, не совпадет с их актом сверки, если его запросить прямо сейчас. по факту", - "короче Где у нас есть оплаты, но не хватает документов, которые должны были закрыть взаиморасчеты? и коротко", - "мож По каким контрагентам, наоборот, документы есть, а нормального закрытия оплатами не видно? прям сейчас", - "а ну-ка Есть ли такие зависшие авансы, которые уже давно надо было либо закрыть, либо хотя бы перепроверить руками? за весь период", - "йо Какие реализации на конец периода выглядят так, будто они зависли и будут портить картину по выручке, если их не проверить заранее?", - "слушай По каким отгрузкам видно, что проблема не просто в том, что клиент не оплатил, а в том, что сама связка документов собрана криво? без воды", - "подскажи плиз Покажи реализации, где хвост выглядит особенно неприятно: сумма не маленькая, возраст хвоста уже заметный, и при этом не видно нормального завершения цепочки. по факту", - "короче Где по 90/62 история похожа на \"вроде все проведено, но если копнуть, закрытие держится на кривой связке\"? и коротко", - "мож Есть ли случаи, где реализация попала в период, а подтверждающие документы или оплата до сих пор живут в какой-то полуразобранной логике? прям сейчас", - "а ну-ка По каким продажам на конец месяца видно, что бухгалтер потом будет долго распутывать, почему все это не сошлось нормально? за весь период", - "йо Какие банковские движения выглядят так, будто выписка есть, а нормального отражения в учете под ней не хватает?", - "слушай Где по банку можно заподозрить, что документ и проводка вроде есть, но логика операции все равно не собрана в нормальную цепочку? без воды", - "подскажи плиз Есть ли движения по счету 51, которые выглядят корректно по сумме, но по смыслу оставляют после себя подозрительный хвост? по факту", - "короче Покажи банковские кейсы, где, скорее всего, проблема не в платеже как таковом, а в том, что он не туда лег или не тем документом закрылся. и коротко", - "мож Где банк и бухгалтерский контур, скорее всего, расходятся не по одной строке, а по паттерну, который уже начинает повторяться? прям сейчас", - "а ну-ка Какие товарные позиции выглядят так, будто их уже продавали, а нормального прихода под них в базе не видно? за весь период", - "йо Где по товарам у нас отрицательные или подозрительные остатки, которые, скорее всего, связаны не с жизнью, а с ошибкой в учете?", - "слушай Есть ли случаи, где приход и реализация вроде есть оба, но даты между ними выглядят так, будто кто-то завел документы задним числом или с ошибкой? без воды", - "подскажи плиз Покажи товарные хвосты, которые сильнее всего искажают картину периода и требуют проверки до закрытия месяца. по факту", - "короче Где по складу и реализации видно, что себестоимость продажи подтверждена слабо или вообще опирается на кривую цепочку? и коротко", - "мож Что сейчас лежит на 10 счете так, будто это уже давно надо было либо списать, либо хотя бы проверить, почему оно до сих пор висит? прям сейчас", - "а ну-ка Есть ли материалы, по которым остаток выглядит нелогично: движения были, хозяйственная логика слабая, а в учете все еще что-то торчит? за весь период", - "йо Покажи позиции по материалам, где возможен эффект \"вроде сумма не огромная, но учетная логика выглядит криво\".", - "слушай Какие записи на 97 счете больше всего похожи на ошибку в датах начала, конца или самом сроке списания? без воды", - "подскажи плиз Есть ли такие расходы будущих периодов, которые заведены, но по ним не видно нормальной ежемесячной жизни, как будто запись повисла сама по себе? по факту", - "короче Покажи кейсы по 97 счету, где срок документа и срок списания визуально противоречат друг другу. и коротко", - "мож Есть ли основные средства, по которым параметры карточки выглядят так, будто амортизацию им задали не по логике объекта, а \"как получилось\"? прям сейчас", - "а ну-ка Покажи объекты ОС, где риск не в сумме, а в том, что карточка и логика начисления выглядят подозрительно и могут аукнуться позже. за весь период", - "йо По каким поставщикам на конец июня не бьются взаиморасчеты, покажи документы, оплаты и хвосты.", - "слушай По каким реализациям 90/62 хвосты не закрылись оплатой, разложи по цепочке документов. без воды", - "подскажи плиз Где в июне не сходится 60/51: разложи по документу, оплате и закрывающему, чем подтверждается каждый шаг. по факту", - "короче Разложи по контрагентам цепочку: отгрузка -> оплата -> закрывающий, чтобы понять где рвется подтверждение. и коротко", - "мож По поставщикам где повисло в цепочке поступление-оплата-закрытие по 60, покажи проблемные связки. прям сейчас", - "а ну-ка Найди где по 62 не собралось: нужен разбор по документам, оплатам и проводкам с причинно-следственной цепочкой. за весь период", - "йо Покажи по июню все случаи когда реализация без оплаты и где в цепочке ошибка подтверждения.", - "слушай Сделай причинный разбор хвостов по 60: документ, оплата, проводка, закрывающий, где пошло криво. без воды", - "подскажи плиз Почему у части покупателей не видно закрытия, разложи цепочку документов и оплат по июню. по факту", - "короче У кого из контрагентов в июне хвосты между 60 и банком, разложи по документам/оплатам/закрывающим. и коротко", - "мож Сделай рейтинг самых рисковых хвостов перед закрытием периода за июнь. прям сейчас", - "а ну-ка Что у нас выглядит самым проблемным перед закрытием июня, если смотреть на компанию в целом? за весь период", - "йо Собери топ-10 риск-зон учета по июню и приоритизируй, куда лезть сначала.", - "слушай Дай обзорный риск-срез перед сдачей отчетности: где максимальная концентрация ошибок. без воды", - "подскажи плиз Сделай приоритизированный обзор ручных проверок по компании за июнь. по факту", - "короче Покажи документ по номеру 000123 и строку проводки, нужен точный source-of-record. и коротко", - "мож Покажи по банку документ №TRX-88 и связанную проводку по 51. прям сейчас", - "а ну-ка Покажи проводку по документу INV-2020-0615, нужна конкретная строка и источник. за весь период", - "йо Дай точечный drilldown по документу №PAY-441 и его проводке по 51.", - "слушай Покажи карточку конкретной операции DOC-7781 и связанную проводку. без воды", - "подскажи плиз По 97 счету проверь, где возможна ошибка дат начала и окончания списания. по факту", - "короче Проверь контрольные правила по ОС: где ошибки в сроках амортизации и учетной группе. и коротко", - "мож По 10 счету проверь где нарушены правила оценки остатков. прям сейчас" - ], - "generated_by": "manual_reviewer", - "saved_case_set_file": "assistant_autogen_qwen_seed_20260409151512_gen-mnrmc8bu-wv7c3o0.json", - "context": { - "llm_provider": "local", - "model": "Qwen2.5 14B Instruct 1M", - "assistant_prompt_version": "address_query_runtime_v1", - "decomposition_prompt_version": "normalizer_v2_0_2", - "prompt_fingerprint": "Ты semantic-normalizer для бухгалтерского ассистента NDC.\nТвоя роль: только нормализация запроса пользователя в строгий JSON-контракт.\n\nЖесткие правила:\n1) Не давай бухгалтерский ответ по сути вопроса.\n2) Возвращай только JSON без markdown и пояснений.\n3) JSON обязан соответствовать переданной schema normalized_query_v1.\n4) Если период не указан, не выдумывай его; отмечай ambiguity.\n5) Для цепочек документов/проводок/оплат поднимай causal и cross-entity признаки.\n6) Для точечного object trace (номер/строка/ref) поднимай needs_exact_object_trace=true.\n7) Используй терминологию NDC.\nYou are semantic-normalizer for accounting assistant NDC.\nReturn strict JSON only, no markdown, no comments.\n\nTarget schema: normalized_query_v2_0_2.\n\nCore behavior (v2.0.2):\n1. Decompose message into semantic fragments.\n2. Classify fragment domain relevance and business scope.\n3. Fill route-critical flags and", - "autogen_personality_id": "general", - "autogen_personality_prompt": "Генерируй реалистичные живые вопросы бухгалтера по 1С. Добавляй разговорные формулировки и опечатки, но сохраняй бизнес-смысл." + "autogen_personality_prompt": "????????? ??????? ??????? ?? ????????.", + "source_session_id": null, + "saved_session_file": null, + "saved_case_set_kind": null } } ] \ No newline at end of file diff --git a/llm_normalizer/data/autorun_generators/saved_sessions/assistant_saved_session_20260416175150_gen-mo1s0m9z-ndf56a3.json b/llm_normalizer/data/autorun_generators/saved_sessions/assistant_saved_session_20260416175150_gen-mo1s0m9z-ndf56a3.json new file mode 100644 index 0000000..da73427 --- /dev/null +++ b/llm_normalizer/data/autorun_generators/saved_sessions/assistant_saved_session_20260416175150_gen-mo1s0m9z-ndf56a3.json @@ -0,0 +1,215 @@ +{ + "saved_at": "2026-04-16T17:51:50.474Z", + "generation_id": "gen-mo1s0m9z-ndf56a3", + "mode": "saved_user_sessions", + "title": "Ручная сессия 16.04.2026, 20:51:30", + "source_session_id": "asst-iIpNheKZpP", + "questions": [ + "привет как дела" + ], + "session": { + "session_id": "asst-iIpNheKZpP", + "updated_at": "2026-04-16T17:51:30.711Z", + "items": [ + { + "message_id": "msg-R2if3yso9x", + "session_id": "asst-iIpNheKZpP", + "role": "user", + "text": "привет как дела", + "reply_type": null, + "created_at": "2026-04-16T17:51:19.402Z", + "trace_id": null, + "debug": null + }, + { + "message_id": "msg-tRiU0RadHy", + "session_id": "asst-iIpNheKZpP", + "role": "assistant", + "text": "Привет! У меня всё хорошо, спасибо за вопрос. А у тебя как дела? 😊", + "reply_type": "factual_with_explanation", + "created_at": "2026-04-16T17:51:30.711Z", + "trace_id": "chat-2RCiQ9Whq9", + "debug": { + "trace_id": "chat-2RCiQ9Whq9", + "prompt_version": "living_chat_router_v1", + "schema_version": "living_chat_router_v1", + "fallback_type": "none", + "detected_mode": "chat", + "detected_mode_confidence": "high", + "execution_lane": "living_chat", + "living_router_mode": "chat", + "living_router_reason": "non_domain_query_indexed", + "living_chat_response_source": "llm_chat", + "living_chat_script_guard_applied": false, + "living_chat_script_guard_reason": null, + "living_chat_grounding_guard_applied": false, + "living_chat_grounding_guard_reason": null, + "living_chat_data_scope_probe_status": null, + "living_chat_data_scope_probe_channel": null, + "living_chat_data_scope_probe_org_count": 0, + "living_chat_data_scope_probe_organizations": [], + "living_chat_data_scope_probe_error": null, + "living_chat_selected_organization": null, + "assistant_known_organizations": [], + "assistant_active_organization": null, + "address_llm_predecompose_attempted": true, + "address_llm_predecompose_applied": false, + "address_llm_predecompose_reason": "no_usable_fragment", + "address_llm_predecompose_contract": { + "schema_version": "address_llm_predecompose_contract_v1", + "source_message": "привет как дела", + "canonical_message": "привет как дела", + "mode": "unsupported", + "mode_confidence": "low", + "query_shape": "UNKNOWN", + "query_shape_confidence": "low", + "intent": "unknown", + "intent_confidence": "low", + "entities": { + "account": null, + "counterparty": null, + "contract": null, + "document_type": null, + "document_ref": null, + "organization": null + }, + "period": { + "scope": "unspecified", + "period_from": null, + "period_to": null, + "as_of_date": null, + "has_explicit_period": false + }, + "semantics": { + "scope_kind": "none", + "anchor_kind": "none", + "anchor_value": null, + "date_scope_kind": "none", + "date_basis_hint": null, + "self_scope_detected": false, + "selected_object_scope_detected": false + }, + "aggregation_profile": "unknown" + }, + "address_semantic_extraction_contract": { + "schema_version": "address_semantic_extraction_contract_v1", + "source_message": "привет как дела", + "canonical_message": "привет как дела", + "canonical_rewrite_applied": false, + "extraction": { + "mode": "unsupported", + "mode_confidence": "low", + "query_shape": "UNKNOWN", + "query_shape_confidence": "low", + "intent": "unknown", + "intent_confidence": "low", + "aggregation_profile": "unknown" + }, + "entities": { + "account": null, + "counterparty": null, + "contract": null, + "document_type": null, + "document_ref": null, + "organization": null + }, + "period": { + "scope": "unspecified", + "period_from": null, + "period_to": null, + "as_of_date": null, + "has_explicit_period": false + }, + "semantics": { + "scope_kind": "none", + "anchor_kind": "none", + "anchor_value": null, + "date_scope_kind": "none", + "date_basis_hint": null, + "self_scope_detected": false, + "selected_object_scope_detected": false + }, + "guard_hints": { + "source_data_signal_detected": false, + "canonical_data_signal_detected": false, + "data_scope_meta_query_detected": false, + "deep_investigation_signal_detected": false, + "required_anchor_missing": false, + "unsupported_low_confidence": true, + "semantic_drift_suspected": false + }, + "quality": "low", + "valid": false, + "apply_canonical_recommended": false, + "reason_codes": [ + "unsupported_low_confidence_contract" + ] + }, + "orchestration_contract_v1": { + "schema_version": "assistant_orchestration_contract_v1", + "hard_meta_mode": "non_domain", + "address_mode": "unsupported", + "address_mode_confidence": "low", + "address_intent": "unknown", + "address_intent_confidence": "low", + "strong_data_signal_detected": false, + "data_retrieval_signal_detected": false, + "followup_context_detected": false, + "unsupported_address_intent_fallback_to_deep": false, + "final_decision": { + "run_address_lane": false, + "tool_gate_decision": "skip_address_lane", + "tool_gate_reason": "non_domain_query_indexed", + "living_mode": "chat", + "living_reason": "non_domain_query_indexed" + } + }, + "tool_gate_decision": "skip_address_lane", + "tool_gate_reason": "non_domain_query_indexed", + "normalized": null, + "normalizer_output": null + } + } + ], + "investigation_state": { + "schema_version": "investigation_state_v1", + "session_id": "asst-iIpNheKZpP", + "status": "idle", + "turn_index": 0, + "updated_at": "2026-04-16T17:51:19.401Z", + "question_id": null, + "question_scope_id": null, + "scope_origin": null, + "focus": { + "domain": null, + "period": null, + "primary_accounts": [], + "active_query_subject": null + }, + "narrowing_status": "unknown", + "evidence_refs": [], + "open_uncertainties": [], + "last_answer_mode": null, + "followup_context": null, + "query_mode_hint": "direct_answer" + }, + "address_navigation_state": { + "schema_version": "address_navigation_state_v1", + "session_id": "asst-iIpNheKZpP", + "updated_at": "2026-04-16T17:51:19.401Z", + "session_context": { + "active_result_set_id": null, + "active_focus_object": null, + "last_confirmed_route": null, + "date_scope": { + "as_of_date": null, + "period_from": null, + "period_to": null + }, + "organization_scope": null + }, + "result_sets": [], + "navigation_history": [] + } + } +} \ No newline at end of file diff --git a/llm_normalizer/data/eval_cases/assistant_autogen_qwen_seed_20260409151512_gen-mnrmc8bu-wv7c3o0.json b/llm_normalizer/data/eval_cases/assistant_autogen_qwen_seed_20260409151512_gen-mnrmc8bu-wv7c3o0.json deleted file mode 100644 index 0244c60..0000000 --- a/llm_normalizer/data/eval_cases/assistant_autogen_qwen_seed_20260409151512_gen-mnrmc8bu-wv7c3o0.json +++ /dev/null @@ -1,878 +0,0 @@ -{ - "suite_id": "assistant_autogen_gen-mnrmc8bu-wv7c3o0", - "suite_version": "0.1.0", - "schema_version": "assistant_autogen_suite_v0_1", - "generated_at": "2026-04-09T15:15:12.810Z", - "generation_id": "gen-mnrmc8bu-wv7c3o0", - "mode": "qwen_seed", - "domain": null, - "scenario_count": 54, - "case_ids": [ - "AUTO-001", - "AUTO-002", - "AUTO-003", - "AUTO-004", - "AUTO-005", - "AUTO-006", - "AUTO-007", - "AUTO-008", - "AUTO-009", - "AUTO-010", - "AUTO-011", - "AUTO-012", - "AUTO-013", - "AUTO-014", - "AUTO-015", - "AUTO-016", - "AUTO-017", - "AUTO-018", - "AUTO-019", - "AUTO-020", - "AUTO-021", - "AUTO-022", - "AUTO-023", - "AUTO-024", - "AUTO-025", - "AUTO-026", - "AUTO-027", - "AUTO-028", - "AUTO-029", - "AUTO-030", - "AUTO-031", - "AUTO-032", - "AUTO-033", - "AUTO-034", - "AUTO-035", - "AUTO-036", - "AUTO-037", - "AUTO-038", - "AUTO-039", - "AUTO-040", - "AUTO-041", - "AUTO-042", - "AUTO-043", - "AUTO-044", - "AUTO-045", - "AUTO-046", - "AUTO-047", - "AUTO-048", - "AUTO-049", - "AUTO-050", - "AUTO-051", - "AUTO-052", - "AUTO-053", - "AUTO-054" - ], - "cases": [ - { - "case_id": "AUTO-001", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "{\"questions\":[\"По каким покупателям у нас на конец месяца хвосты с отгрузками без денег уже стали нормой и требуют проверки?\",\"Где по контрагентам висит история 'отгрузили - денег нет - закрытия нет', которая точно нуждается в ручной проверке?\",\"Покажи контрагентов, у которых сальдо скорее всего не совпадет с их актуальным актом сверки сейчас.\",\"Где есть оплаты, но отсутствуют документы для закрытия взаиморасчетов?\",\"По каким контрагентам документы есть, а нормального закрытия оплатами нет вовсе?\",\"Есть ли зависшие авансы, которые давно надо было перепроверить или уже списать как неликвидные?\",\"Какие реализации на конец периода выглядят так, будто они зависли и могут испортить картину по выручке без проверки?\",\"По каким отгрузкам видно, что проблема не просто в оплате клиента, а в кривой сборке документов изначально?\",\"Где у нас есть непогашенные задолженности поставщикам, которые уже давно требуют прокрутки и анализа?\",\"Какие счета-фактуры выставлены, но не оплачены на конец месяца - нужно их проверить или отозвать?\",\"Покажи контрагентов, у которых висят отгрузки без документов подтверждения принятия. Это уже проблема или еще нет?\",\"Есть ли такие покупатели, по которым сальдо точно не совпадает с актуальным состоянием их расчетов - нужно проверить и исправить?\",\"Где есть документы, но оплаты не приходят, хотя все сроки давно прошли?\",\"Какие отгрузки на конец периода выглядят так, будто они зависли и будут портить картину по выручке без прокрутки?\",\"По каким контрагентам видно, что проблема в сборе документов изначально, а не просто в задержке оплаты клиентом?\",\"Где у нас есть непогашенные авансы покупателей, которые давно требуют пересмотра и анализа?\",\"Какие счета-фактуры выставлены, но не отражены в документах подтверждения принятия - нужно их проверить или отозвать?\",\"Покажи контрагентов, у которых сальдо точно не совпадает с актуальным состоянием расчетов. Это уже проблема или еще нет?\",\"Где есть оплаты, но документов для закрытия взаиморасчетов все равно не хватает?\",\"По каким контрагентам документы есть, а нормального закрытия оплатами так и не видно - это уже проблема или еще нет?\",\"Есть ли такие зависшие авансы, которые давно надо было перепроверить или списать как неликвидные?\",\"Какие реализации на конец периода выглядят так, будто они зависли и могут испортить картину по выручке без проверки?\",\"По каким отгрузкам видно, что проблема не просто в оплате клиента, а в кривой сборке документов изначально?\",\"Где у нас есть непогашенные задолженности поставщикам, которые уже давно требуют прокрутки и анализа?\",\"Какие счета-фактуры выставлены, но не оплачены на конец месяца - нужно их проверить или отозвать?\",\"Покажи контрагентов, у которых висят отгрузки без документов подтверждения принятия. Это уже проблема или еще нет?\",\"Есть ли такие покупатели, по которым сальдо точно не совпадает с актуальным состоянием их расчетов - нужно проверить" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-002", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "йо По каким поставщикам у нас на конец месяца остались хвосты, которые уже не похожи на обычную задержку документов, а выглядят как реальная проблема в цепочке?" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-003", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "слушай Где по покупателям у нас висит история \"отгрузили - денег нет - закрытия нет\", и по каким контрагентам это уже требует ручной проверки? без воды" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-004", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "подскажи плиз Покажи контрагентов, по которым сальдо у нас, скорее всего, не совпадет с их актом сверки, если его запросить прямо сейчас. по факту" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-005", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "короче Где у нас есть оплаты, но не хватает документов, которые должны были закрыть взаиморасчеты? и коротко" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-006", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "мож По каким контрагентам, наоборот, документы есть, а нормального закрытия оплатами не видно? прям сейчас" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-007", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "а ну-ка Есть ли такие зависшие авансы, которые уже давно надо было либо закрыть, либо хотя бы перепроверить руками? за весь период" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-008", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "йо Какие реализации на конец периода выглядят так, будто они зависли и будут портить картину по выручке, если их не проверить заранее?" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-009", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "слушай По каким отгрузкам видно, что проблема не просто в том, что клиент не оплатил, а в том, что сама связка документов собрана криво? без воды" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-010", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "подскажи плиз Покажи реализации, где хвост выглядит особенно неприятно: сумма не маленькая, возраст хвоста уже заметный, и при этом не видно нормального завершения цепочки. по факту" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-011", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "короче Где по 90/62 история похожа на \"вроде все проведено, но если копнуть, закрытие держится на кривой связке\"? и коротко" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-012", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "мож Есть ли случаи, где реализация попала в период, а подтверждающие документы или оплата до сих пор живут в какой-то полуразобранной логике? прям сейчас" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-013", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "а ну-ка По каким продажам на конец месяца видно, что бухгалтер потом будет долго распутывать, почему все это не сошлось нормально? за весь период" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-014", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "йо Какие банковские движения выглядят так, будто выписка есть, а нормального отражения в учете под ней не хватает?" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-015", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "слушай Где по банку можно заподозрить, что документ и проводка вроде есть, но логика операции все равно не собрана в нормальную цепочку? без воды" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-016", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "подскажи плиз Есть ли движения по счету 51, которые выглядят корректно по сумме, но по смыслу оставляют после себя подозрительный хвост? по факту" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-017", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "короче Покажи банковские кейсы, где, скорее всего, проблема не в платеже как таковом, а в том, что он не туда лег или не тем документом закрылся. и коротко" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-018", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "мож Где банк и бухгалтерский контур, скорее всего, расходятся не по одной строке, а по паттерну, который уже начинает повторяться? прям сейчас" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-019", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "а ну-ка Какие товарные позиции выглядят так, будто их уже продавали, а нормального прихода под них в базе не видно? за весь период" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-020", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "йо Где по товарам у нас отрицательные или подозрительные остатки, которые, скорее всего, связаны не с жизнью, а с ошибкой в учете?" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-021", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "слушай Есть ли случаи, где приход и реализация вроде есть оба, но даты между ними выглядят так, будто кто-то завел документы задним числом или с ошибкой? без воды" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-022", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "подскажи плиз Покажи товарные хвосты, которые сильнее всего искажают картину периода и требуют проверки до закрытия месяца. по факту" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-023", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "короче Где по складу и реализации видно, что себестоимость продажи подтверждена слабо или вообще опирается на кривую цепочку? и коротко" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-024", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "мож Что сейчас лежит на 10 счете так, будто это уже давно надо было либо списать, либо хотя бы проверить, почему оно до сих пор висит? прям сейчас" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-025", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "а ну-ка Есть ли материалы, по которым остаток выглядит нелогично: движения были, хозяйственная логика слабая, а в учете все еще что-то торчит? за весь период" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-026", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "йо Покажи позиции по материалам, где возможен эффект \"вроде сумма не огромная, но учетная логика выглядит криво\"." - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-027", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "слушай Какие записи на 97 счете больше всего похожи на ошибку в датах начала, конца или самом сроке списания? без воды" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-028", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "подскажи плиз Есть ли такие расходы будущих периодов, которые заведены, но по ним не видно нормальной ежемесячной жизни, как будто запись повисла сама по себе? по факту" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-029", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "короче Покажи кейсы по 97 счету, где срок документа и срок списания визуально противоречат друг другу. и коротко" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-030", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "мож Есть ли основные средства, по которым параметры карточки выглядят так, будто амортизацию им задали не по логике объекта, а \"как получилось\"? прям сейчас" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-031", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "а ну-ка Покажи объекты ОС, где риск не в сумме, а в том, что карточка и логика начисления выглядят подозрительно и могут аукнуться позже. за весь период" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-032", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "йо По каким поставщикам на конец июня не бьются взаиморасчеты, покажи документы, оплаты и хвосты." - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-033", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "слушай По каким реализациям 90/62 хвосты не закрылись оплатой, разложи по цепочке документов. без воды" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-034", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "подскажи плиз Где в июне не сходится 60/51: разложи по документу, оплате и закрывающему, чем подтверждается каждый шаг. по факту" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-035", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "короче Разложи по контрагентам цепочку: отгрузка -> оплата -> закрывающий, чтобы понять где рвется подтверждение. и коротко" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-036", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "мож По поставщикам где повисло в цепочке поступление-оплата-закрытие по 60, покажи проблемные связки. прям сейчас" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-037", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "а ну-ка Найди где по 62 не собралось: нужен разбор по документам, оплатам и проводкам с причинно-следственной цепочкой. за весь период" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-038", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "йо Покажи по июню все случаи когда реализация без оплаты и где в цепочке ошибка подтверждения." - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-039", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "слушай Сделай причинный разбор хвостов по 60: документ, оплата, проводка, закрывающий, где пошло криво. без воды" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-040", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "подскажи плиз Почему у части покупателей не видно закрытия, разложи цепочку документов и оплат по июню. по факту" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-041", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "короче У кого из контрагентов в июне хвосты между 60 и банком, разложи по документам/оплатам/закрывающим. и коротко" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-042", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "мож Сделай рейтинг самых рисковых хвостов перед закрытием периода за июнь. прям сейчас" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-043", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "а ну-ка Что у нас выглядит самым проблемным перед закрытием июня, если смотреть на компанию в целом? за весь период" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-044", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "йо Собери топ-10 риск-зон учета по июню и приоритизируй, куда лезть сначала." - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-045", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "слушай Дай обзорный риск-срез перед сдачей отчетности: где максимальная концентрация ошибок. без воды" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-046", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "подскажи плиз Сделай приоритизированный обзор ручных проверок по компании за июнь. по факту" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-047", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "короче Покажи документ по номеру 000123 и строку проводки, нужен точный source-of-record. и коротко" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-048", - "scenario_tag": "qwen_seed_general", - "question_type": "direct", - "broadness_level": "medium", - "turns": [ - { - "user_message": "мож Покажи по банку документ №TRX-88 и связанную проводку по 51. прям сейчас" - } - ], - "expected_hints": { - "expected_reply_type": null, - "expected_degraded_to": null - } - }, - { - "case_id": "AUTO-049", - "scenario_tag": "qwen_seed_general", - "question_type": 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",m.context.answer_text]}):null,o.jsx("p",{children:m.comment}),o.jsxs("div",{className:"assistant-comment-meta",children:[m.context.trace_id?o.jsx("span",{children:`trace=${m.context.trace_id}`}):null,m.context.reply_type?o.jsx("span",{children:`reply_type=${m.context.reply_type}`}):null]})]},m.annotation_id))]})]})})}):null,On?o.jsx("div",{className:"mode-col",children:o.jsx(Of,{sessionId:ze,conversation:Dt,statusText:bn,errorMessage:jr,useMock:Te,appLogs:G})}):null,!tt&&!nn&&!xt&&!Oe&&!On?o.jsx("div",{className:"mode-columns-empty",children:"Все панели режима ассистента скрыты. Включите нужные блоки справа в шапке."}):null]})}):Ee==="decomposition"?o.jsx("div",{className:"layout-grid layout-grid-mode-columns",children:o.jsxs("div",{className:"mode-columns",children:[Dn?o.jsx("div",{className:"mode-col",children:o.jsx(oa,{value:i,modelOptions:De,modelsBusy:me,onChange:p,onReloadModels:Ue,onSaveLocalConfig:rr,onTestConnection:ue,lastStatus:je,busy:le})}):null,Sn?o.jsx("div",{className:"mode-col mode-col-wide",children:o.jsx(la,{value:f,onChange:N,presets:de,selectedPresetId:Ze,onSelectPreset:ct,onLoadPreset:be,onSavePreset:sr,onResetDefaults:Hn,onDiffPrevious:Vn,presetName:st,onPresetNameChange:Et,diffSummary:H})}):null,Lt?o.jsx("div",{className:"mode-col",children:o.jsx(vm,{value:j,onChange:T,onApplyBatchFormat:$t,onNormalize:ye,busy:le,useMock:Te,onUseMockChange:Ae,errorMessage:ge})}):null,Kt?o.jsx("div",{className:"mode-col mode-col-xwide",children:o.jsx(gm,{tab:ne,onTabChange:Ne,result:$,appLogs:G})}):null,Ot?o.jsx("div",{className:"mode-col",children:o.jsx(mm,{result:$})}):null,zn?o.jsx("div",{className:"mode-col",children:o.jsx(fm,{items:b,onRefresh:Mt,onOpenTrace:kn})}):null,$n?o.jsx("div",{className:"mode-col mode-col-xwide",children:o.jsx(ym,{runs:I,selectedRunId:O,onSelectRun:y,onStartRun:At,onFinishRun:ke,onRefreshRuns:St,onRunEval:ds,onCopyEvalReport:$s,evalBusy:oe,traceItems:C,evalReport:ae})}):null,!Dn&&!Sn&&!Lt&&!Kt&&!Ot&&!zn&&!$n?o.jsx("div",{className:"mode-columns-empty",children:"Все панели режима декомпозиции скрыты. Включите нужные блоки справа в шапке."}):null]})}):o.jsx("div",{className:"layout-grid layout-grid-autoruns",children:o.jsx(dm,{connection:i,modelOptions:De,modelsBusy:me,connectionStatus:je,connectionBusy:le,onConnectionChange:p,onReloadModels:Ue,onSaveLocalConfig:rr,onTestConnection:ue,prompts:f,onPromptsChange:N,promptPresets:de,selectedPresetId:Ze,onSelectPreset:ct,onLoadPreset:be,onSavePreset:sr,onResetDefaults:Hn,onDiffPrevious:Vn,presetName:st,onPresetNameChange:Et,diffSummary:H,assistantPromptVersion:Hc,decompositionPromptVersion:ra,showSettingsMode:vn,showAutoRunsMode:Ln,showAssistantMode:Pe,showDecompositionMode:ot,showProgressMode:lt,showCommentsMode:re,onLog:D})}),Re.open?o.jsx("div",{className:"autoruns-comment-modal-backdrop",onClick:m=>{m.target===m.currentTarget&&lr()},children:o.jsxs("div",{className:"autoruns-comment-modal",children:[o.jsx("h3",{children:"Комментарий к ответу ассистента"}),o.jsx("p",{className:"muted",children:"Эта разметка хранится отдельно от комментариев автопрогонов."}),or?o.jsxs("details",{className:"autoruns-prompt-details",open:!0,children:[o.jsx("summary",{children:"Вопрос пользователя"}),o.jsx("p",{className:"autoruns-comment-quote",children:or.text})]}):null,kr?o.jsxs("details",{className:"autoruns-prompt-details",open:!0,children:[o.jsx("summary",{children:"Ответ ассистента"}),o.jsx("p",{className:"autoruns-comment-quote",children:kr.text})]}):null,o.jsx("div",{className:"autoruns-rating-row",role:"group","aria-label":"Рейтинг ответа",children:[1,2,3,4,5].map(m=>o.jsx("button",{type:"button",className:Re.rating>=m?"autoruns-rating-dot active":"autoruns-rating-dot",onClick:()=>Pt(E=>({...E,rating:m})),disabled:Re.saving,"aria-label":`Оценка ${m}`,children:Re.rating>=m?"●":"○"},m))}),o.jsx("div",{className:"autoruns-form-grid",children:o.jsxs("label",{children:["Автор комментария",o.jsx("input",{value:Re.annotationAuthor,onChange:m=>Pt(E=>({...E,annotationAuthor:m.target.value})),placeholder:"manual_reviewer",disabled:Re.saving})]})}),o.jsxs("label",{children:["Комментарий",o.jsx("textarea",{value:Re.comment,onChange:m=>Pt(E=>({...E,comment:m.target.value})),placeholder:"Что именно не так в ответе и что проверить.",rows:4,disabled:Re.saving})]}),Re.error?o.jsx("p",{className:"error-text",children:Re.error}):null,o.jsxs("div",{className:"button-row",children:[o.jsx("button",{type:"button",onClick:()=>{Nn()},disabled:Re.saving,children:Re.saving?"Сохраняю...":"Готово"}),o.jsx("button",{type:"button",className:"tab",onClick:()=>lr(),disabled:Re.saving,children:"Отмена"})]})]})}):null]})}Tf.createRoot(document.getElementById("root")).render(o.jsx(Cf.StrictMode,{children:o.jsx(Em,{})})); diff --git a/llm_normalizer/frontend/dist/index.html b/llm_normalizer/frontend/dist/index.html index bfa3ecb..d2318c0 100644 --- a/llm_normalizer/frontend/dist/index.html +++ b/llm_normalizer/frontend/dist/index.html @@ -4,8 +4,8 @@ NDC AI Normalizer Playground - - + +
diff --git a/llm_normalizer/frontend/src/App.tsx b/llm_normalizer/frontend/src/App.tsx index baa2553..fbd9233 100644 --- a/llm_normalizer/frontend/src/App.tsx +++ b/llm_normalizer/frontend/src/App.tsx @@ -1,22 +1,16 @@ -import { useEffect, useMemo, useRef, useState } from "react"; +import { useEffect, useRef, useState } from "react"; import { apiClient } from "./api/client"; -import { AssistantSamPanel } from "./components/AssistantSamPanel"; import { AutoRunsHistoryPanel } from "./components/AutoRunsHistoryPanel"; -import { AssistantPanel } from "./components/AssistantPanel"; import { ConnectionPanel } from "./components/ConnectionPanel"; import { HistoryPanel } from "./components/HistoryPanel"; import { MetricsPanel } from "./components/MetricsPanel"; import { OutputPanel } from "./components/OutputPanel"; -import { PanelFrame } from "./components/PanelFrame"; import { PromptPanel } from "./components/PromptPanel"; import { QueryPanel } from "./components/QueryPanel"; import { RuntimePanel } from "./components/RuntimePanel"; import { DEFAULT_CONNECTION, DEFAULT_PROMPTS, DEFAULT_QUERY } from "./state/defaults"; import { designConfig } from "../../../designconfig"; import type { - AssistantConversationItem, - AssistantAnnotationRecord, - AssistantSelectionChip, ConnectionState, HistoryItem, NormalizeResultState, @@ -30,22 +24,10 @@ import type { const SESSION_CONFIG_KEY = "ndc_normalizer_session_config_v1"; const AUTORUNS_LAYOUT_CONFIG_KEY = "ndc_autoruns_layout_config_v1"; const AUTORUNS_SAVE_EVENT = "ndc-autoruns-save"; -const ASSISTANT_STAGES = ["Анализ запроса", "Получение данных", "Подготовка ответа"]; const DEFAULT_UI_MODE: UiMode = "autoruns"; const AUTOLOAD_PROMPT_VERSION = "normalizer_v2_0_2"; const ASSISTANT_PROMPT_VERSION = "address_query_runtime_v1"; const TAB_KEYS: TabKey[] = ["normalized", "fragments", "scope", "flags", "route", "raw", "validation", "logs"]; -const DEFAULT_ASSISTANT_ANNOTATION_AUTHOR = "manual_reviewer"; - -interface AssistantCommentModalState { - open: boolean; - messageIndex: number; - rating: number; - comment: string; - annotationAuthor: string; - saving: boolean; - error: string; -} function withTs(message: string): string { return `[${new Date().toLocaleTimeString("ru-RU")}] ${message}`; @@ -61,25 +43,6 @@ function diffPrompts(current: PromptState, previous: PromptState | null): string return `Changed fields: ${changed.length}. ${changed.join(" | ")}`; } -function buildAssistantFollowupMessage(inputValue: string, selectedChip: AssistantSelectionChip | null): string { - const trimmedInput = inputValue.trim(); - if (!trimmedInput) { - return ""; - } - if (!selectedChip) { - return trimmedInput; - } - - const normalizedInput = trimmedInput.toLowerCase(); - const selectionAnchor = selectedChip.anchor_text.trim(); - const normalizedSelection = selectionAnchor.toLowerCase(); - if (normalizedSelection && normalizedInput.includes(normalizedSelection)) { - return trimmedInput; - } - - return `По выбранному объекту "${selectionAnchor}": ${trimmedInput}`; -} - export default function App() { const [connection, setConnection] = useState(DEFAULT_CONNECTION); const [prompts, setPrompts] = useState(DEFAULT_PROMPTS); @@ -123,11 +86,6 @@ export default function App() { const [showAutorunsDecompositionMode, setShowAutorunsDecompositionMode] = useState(true); const [showAutorunsProgressMode, setShowAutorunsProgressMode] = useState(true); const [showAutorunsCommentsMode, setShowAutorunsCommentsMode] = useState(true); - const [showAssistantConnectionMode, setShowAssistantConnectionMode] = useState(true); - const [showAssistantPromptMode, setShowAssistantPromptMode] = useState(true); - const [showAssistantChatMode, setShowAssistantChatMode] = useState(true); - const [showAssistantCommentsMode, setShowAssistantCommentsMode] = useState(true); - const [showAssistantSamMode, setShowAssistantSamMode] = useState(true); const [showDecompositionConnectionMode, setShowDecompositionConnectionMode] = useState(true); const [showDecompositionPromptMode, setShowDecompositionPromptMode] = useState(true); const [showDecompositionQueryMode, setShowDecompositionQueryMode] = useState(true); @@ -135,24 +93,6 @@ export default function App() { const [showDecompositionMetricsMode, setShowDecompositionMetricsMode] = useState(true); const [showDecompositionHistoryMode, setShowDecompositionHistoryMode] = useState(true); const [showDecompositionRuntimeMode, setShowDecompositionRuntimeMode] = useState(true); - const [assistantSessionId, setAssistantSessionId] = useState(""); - const [assistantConversation, setAssistantConversation] = useState([]); - const [assistantInput, setAssistantInput] = useState(""); - const [assistantSelectedChip, setAssistantSelectedChip] = useState(null); - const [assistantBusy, setAssistantBusy] = useState(false); - const [assistantStatus, setAssistantStatus] = useState(""); - const [assistantError, setAssistantError] = useState(""); - const [assistantAnnotations, setAssistantAnnotations] = useState([]); - const [assistantAnnotationsBusy, setAssistantAnnotationsBusy] = useState(false); - const [assistantCommentModal, setAssistantCommentModal] = useState({ - open: false, - messageIndex: -1, - rating: 3, - comment: "", - annotationAuthor: DEFAULT_ASSISTANT_ANNOTATION_AUTHOR, - saving: false, - error: "" - }); const presetAutoloadDoneRef = useRef(false); const skipPresetAutoloadRef = useRef(false); const sharedConnectionSyncReadyRef = useRef(false); @@ -184,16 +124,6 @@ export default function App() { setAppLogs((prev) => [withTs(message), ...prev].slice(0, 300)); }; - function startAssistantStatusTicker(): () => void { - let index = 0; - setAssistantStatus(ASSISTANT_STAGES[0]); - const timer = window.setInterval(() => { - index = Math.min(index + 1, ASSISTANT_STAGES.length - 1); - setAssistantStatus(ASSISTANT_STAGES[index]); - }, 650); - return () => window.clearInterval(timer); - } - useEffect(() => { const bootstrapSharedConnection = async () => { const cached = localStorage.getItem(SESSION_CONFIG_KEY); @@ -239,7 +169,7 @@ export default function App() { if (cachedAutorunsLayout) { try { const parsed = JSON.parse(cachedAutorunsLayout) as { - uiMode?: UiMode; + uiMode?: UiMode | "assistant"; activeTab?: TabKey; showAutorunsSettingsMode?: boolean; showAutorunsAutoRunsMode?: boolean; @@ -247,11 +177,6 @@ export default function App() { showAutorunsDecompositionMode?: boolean; showAutorunsProgressMode?: boolean; showAutorunsCommentsMode?: boolean; - showAssistantConnectionMode?: boolean; - showAssistantPromptMode?: boolean; - showAssistantChatMode?: boolean; - showAssistantCommentsMode?: boolean; - showAssistantSamMode?: boolean; showDecompositionConnectionMode?: boolean; showDecompositionPromptMode?: boolean; showDecompositionQueryMode?: boolean; @@ -261,9 +186,7 @@ export default function App() { showDecompositionRuntimeMode?: boolean; prompts?: PromptState; }; - if (parsed.uiMode === "decomposition") { - setUiMode("decomposition"); - } else if (parsed.uiMode === "assistant" || parsed.uiMode === "autoruns") { + if (parsed.uiMode === "assistant" || parsed.uiMode === "autoruns" || parsed.uiMode === "decomposition") { setUiMode("autoruns"); } if (parsed.activeTab && TAB_KEYS.includes(parsed.activeTab)) { @@ -287,21 +210,6 @@ export default function App() { if (typeof parsed.showAutorunsCommentsMode === "boolean") { setShowAutorunsCommentsMode(parsed.showAutorunsCommentsMode); } - if (typeof parsed.showAssistantConnectionMode === "boolean") { - setShowAssistantConnectionMode(parsed.showAssistantConnectionMode); - } - if (typeof parsed.showAssistantPromptMode === "boolean") { - setShowAssistantPromptMode(parsed.showAssistantPromptMode); - } - if (typeof parsed.showAssistantChatMode === "boolean") { - setShowAssistantChatMode(parsed.showAssistantChatMode); - } - if (typeof parsed.showAssistantCommentsMode === "boolean") { - setShowAssistantCommentsMode(parsed.showAssistantCommentsMode); - } - if (typeof parsed.showAssistantSamMode === "boolean") { - setShowAssistantSamMode(parsed.showAssistantSamMode); - } if (typeof parsed.showDecompositionConnectionMode === "boolean") { setShowDecompositionConnectionMode(parsed.showDecompositionConnectionMode); } @@ -448,11 +356,6 @@ export default function App() { showAutorunsDecompositionMode, showAutorunsProgressMode, showAutorunsCommentsMode, - showAssistantConnectionMode, - showAssistantPromptMode, - showAssistantChatMode, - showAssistantCommentsMode, - showAssistantSamMode, showDecompositionConnectionMode, showDecompositionPromptMode, showDecompositionQueryMode, @@ -740,207 +643,6 @@ export default function App() { } } - const assistantAnnotationsByMessageId = useMemo(() => { - const map = new Map(); - for (const item of assistantAnnotations) { - if (item.message_id) { - map.set(item.message_id, item); - } - } - return map; - }, [assistantAnnotations]); - - const assistantCommentModalMessage = - assistantCommentModal.messageIndex >= 0 ? assistantConversation[assistantCommentModal.messageIndex] ?? null : null; - - const assistantCommentModalQuestion = useMemo(() => { - if (assistantCommentModal.messageIndex < 0) return null; - for (let index = assistantCommentModal.messageIndex - 1; index >= 0; index -= 1) { - const candidate = assistantConversation[index]; - if (candidate?.role === "user") { - return candidate; - } - } - return null; - }, [assistantCommentModal.messageIndex, assistantConversation]); - - async function loadAssistantAnnotationsForSession(sessionId: string): Promise { - if (!sessionId.trim()) { - setAssistantAnnotations([]); - return; - } - setAssistantAnnotationsBusy(true); - try { - const payload = await apiClient.loadAssistantAnnotations({ - session_id: sessionId, - limit: 400 - }); - setAssistantAnnotations(payload.items ?? []); - } catch (error) { - const message = error instanceof Error ? error.message : String(error); - log(`Assistant annotations load error: ${message}`); - } finally { - setAssistantAnnotationsBusy(false); - } - } - - function closeAssistantCommentModal(options?: { force?: boolean }) { - setAssistantCommentModal((prev) => { - if (prev.saving && !options?.force) { - return prev; - } - return { - open: false, - messageIndex: -1, - rating: 3, - comment: "", - annotationAuthor: DEFAULT_ASSISTANT_ANNOTATION_AUTHOR, - saving: false, - error: "" - }; - }); - } - - function openAssistantCommentModal(item: AssistantConversationItem, index: number): void { - if (item.role !== "assistant") return; - const sessionIdFromState = assistantSessionId.trim(); - const sessionIdFromItem = String(item.session_id ?? "").trim(); - const resolvedSessionId = sessionIdFromState || sessionIdFromItem; - if (!resolvedSessionId) { - setAssistantError("Сначала получите ответ ассистента в активной сессии."); - return; - } - if (!sessionIdFromState && sessionIdFromItem) { - setAssistantSessionId(sessionIdFromItem); - } - const existing = assistantAnnotationsByMessageId.get(item.message_id) ?? null; - setAssistantCommentModal({ - open: true, - messageIndex: index, - rating: existing?.rating ?? 3, - comment: existing?.comment ?? "", - annotationAuthor: existing?.annotation_author ?? DEFAULT_ASSISTANT_ANNOTATION_AUTHOR, - saving: false, - error: "" - }); - } - - function canCommentAssistantMessage(item: AssistantConversationItem): boolean { - return item.role === "assistant"; - } - - function isAssistantMessageCommented(item: AssistantConversationItem): boolean { - return item.role === "assistant" && assistantAnnotationsByMessageId.has(item.message_id); - } - - async function submitAssistantCommentModal(): Promise { - if (!assistantSessionId.trim()) { - setAssistantCommentModal((prev) => ({ ...prev, error: "Сессия ассистента не найдена." })); - return; - } - if (assistantCommentModal.messageIndex < 0) { - return; - } - if (!assistantCommentModal.comment.trim()) { - setAssistantCommentModal((prev) => ({ ...prev, error: "Добавьте комментарий." })); - return; - } - - setAssistantCommentModal((prev) => ({ ...prev, saving: true, error: "" })); - try { - const payload = await apiClient.saveAssistantAnnotation({ - session_id: assistantSessionId, - message_index: assistantCommentModal.messageIndex, - rating: assistantCommentModal.rating, - comment: assistantCommentModal.comment.trim(), - annotation_author: assistantCommentModal.annotationAuthor.trim() || undefined - }); - setAssistantAnnotations((prev) => { - const next = [...prev]; - const index = next.findIndex((item) => item.annotation_id === payload.annotation.annotation_id); - if (index >= 0) { - next[index] = payload.annotation; - } else { - next.unshift(payload.annotation); - } - return next.sort((a, b) => Date.parse(b.updated_at) - Date.parse(a.updated_at)); - }); - closeAssistantCommentModal({ force: true }); - } catch (error) { - const message = error instanceof Error ? error.message : String(error); - setAssistantCommentModal((prev) => ({ ...prev, saving: false, error: message })); - } - } - - function resetAssistantSession() { - setAssistantSessionId(""); - setAssistantConversation([]); - setAssistantInput(""); - setAssistantSelectedChip(null); - setAssistantStatus(""); - setAssistantError(""); - setAssistantAnnotations([]); - closeAssistantCommentModal({ force: true }); - log("Assistant session reset."); - } - - async function sendAssistantMessage() { - const userMessage = buildAssistantFollowupMessage(assistantInput, assistantSelectedChip); - if (!userMessage) { - return; - } - - setAssistantBusy(true); - setAssistantError(""); - setAssistantInput(""); - setAssistantConversation((prev) => [ - ...prev, - { - message_id: `local-${Date.now()}`, - session_id: assistantSessionId || "pending", - role: "user", - text: userMessage, - reply_type: null, - created_at: new Date().toISOString(), - trace_id: null, - debug: null - } - ]); - - const stopTicker = startAssistantStatusTicker(); - try { - const response = await apiClient.sendAssistantMessage({ - connection, - prompts, - userMessage, - sessionId: assistantSessionId || undefined, - promptVersion: ASSISTANT_PROMPT_VERSION, - useMock - }); - setAssistantSessionId(response.session_id); - setAssistantConversation(response.conversation); - setAssistantStatus("Ответ готов"); - await loadAssistantAnnotationsForSession(response.session_id); - log(`Assistant reply received: trace=${response.debug.trace_id}`); - } catch (error) { - const message = error instanceof Error ? error.message : String(error); - setAssistantError(message); - setAssistantStatus("Ошибка ассистента"); - log(`Assistant error: ${message}`); - } finally { - stopTicker(); - setAssistantBusy(false); - } - } - - useEffect(() => { - if (!assistantSessionId.trim()) { - setAssistantAnnotations([]); - return; - } - void loadAssistantAnnotationsForSession(assistantSessionId); - }, [assistantSessionId]); - useEffect(() => { if (!selectedRunId) { setRunTrace([]); @@ -953,493 +655,89 @@ export default function App() { }, [selectedRunId]); return ( -
+
- -
- {uiMode === "assistant" ? ( -
- - - - - -
- ) : uiMode === "decomposition" ? ( -
- - - - - - - -
- ) : uiMode === "autoruns" ? ( -
- - - - - - -
- ) : null} +
+ + + + + +
- {uiMode === "assistant" ? ( -
-
- {showAssistantConnectionMode ? ( -
- -
- ) : null} - - {showAssistantPromptMode ? ( -
- -
- ) : null} - - {showAssistantChatMode ? ( -
- setAssistantSelectedChip(null)} - useMock={useMock} - onUseMockChange={setUseMock} - onSend={sendAssistantMessage} - onClear={resetAssistantSession} - busy={assistantBusy} - statusText={assistantStatus} - errorMessage={assistantError} - showCommentAction - onCommentAssistantMessage={openAssistantCommentModal} - isAssistantMessageCommented={isAssistantMessageCommented} - canCommentAssistantMessage={canCommentAssistantMessage} - /> -
- ) : null} - - {showAssistantCommentsMode ? ( -
- -
-
- - {assistantSessionId ? `session: ${assistantSessionId}` : "Сессия не запущена"} - - -
-
- {!assistantSessionId ?

Появится после первого ответа ассистента.

: null} - {assistantSessionId && assistantAnnotations.length === 0 && !assistantAnnotationsBusy ? ( -

Комментариев по этой сессии пока нет.

- ) : null} - {assistantAnnotations.map((item) => ( -
-
- {`${"●".repeat(Math.max(1, Math.min(5, Math.round(item.rating))))}${"○".repeat(Math.max(0, 5 - Math.round(item.rating)))}`} - {new Date(item.updated_at).toLocaleString("ru-RU")} -
- {item.context.question_text ?

Q: {item.context.question_text}

: null} - {item.context.answer_text ?

A: {item.context.answer_text}

: null} -

{item.comment}

-
- {item.context.trace_id ? {`trace=${item.context.trace_id}`} : null} - {item.context.reply_type ? {`reply_type=${item.context.reply_type}`} : null} -
-
- ))} -
-
- -
- ) : null} - - {showAssistantSamMode ? ( -
- -
- ) : null} - - {!showAssistantConnectionMode && - !showAssistantPromptMode && - !showAssistantChatMode && - !showAssistantCommentsMode && - !showAssistantSamMode ? ( -
Все панели режима ассистента скрыты. Включите нужные блоки справа в шапке.
- ) : null} -
-
- ) : uiMode === "decomposition" ? ( -
-
- {showDecompositionConnectionMode ? ( -
- -
- ) : null} - - {showDecompositionPromptMode ? ( -
- -
- ) : null} - - {showDecompositionQueryMode ? ( -
- -
- ) : null} - - {showDecompositionOutputMode ? ( -
- -
- ) : null} - - {showDecompositionMetricsMode ? ( -
- -
- ) : null} - - {showDecompositionHistoryMode ? ( -
- -
- ) : null} - - {showDecompositionRuntimeMode ? ( -
- -
- ) : null} - - {!showDecompositionConnectionMode && - !showDecompositionPromptMode && - !showDecompositionQueryMode && - !showDecompositionOutputMode && - !showDecompositionMetricsMode && - !showDecompositionHistoryMode && - !showDecompositionRuntimeMode ? ( -
Все панели режима декомпозиции скрыты. Включите нужные блоки справа в шапке.
- ) : null} -
-
- ) : ( -
- -
- )} - - {assistantCommentModal.open ? ( -
{ - if (event.target === event.currentTarget) { - closeAssistantCommentModal(); - } - }} - > -
-

Комментарий к ответу ассистента

-

Эта разметка хранится отдельно от комментариев автопрогонов.

- - {assistantCommentModalQuestion ? ( -
- Вопрос пользователя -

{assistantCommentModalQuestion.text}

-
- ) : null} - {assistantCommentModalMessage ? ( -
- Ответ ассистента -

{assistantCommentModalMessage.text}

-
- ) : null} - -
- {[1, 2, 3, 4, 5].map((value) => ( - - ))} -
- -
- -
- -