diff --git a/CHANGELOG.md b/CHANGELOG.md index f862fe8b..5eac89d1 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,7 +5,51 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). -## [Unreleased] +## [2.13.0] — Full-corpus reasoning mining: deep discovery, per-model targets, live progress + +### Added + +- **Full-corpus reasoning mining.** The miner now discovers transcripts + recursively — nested session directories and Task-tool subagent transcripts + (`projects///subagents/agent-*.jsonl`), not just the top + `projects//*.jsonl` layer — so the ~1000 previously-invisible files + are mined. Subagent traces are attributed to their real project, not a + literal "subagents" pseudo-project. +- **Per-model pattern targets.** Each mineable model has a distillation target + (0–100), set via a slider on the dashboard Reasoning tab (or + `[reasoning_training.pattern_targets]` in config / `PUT /config`). A + preliminary Mine with no targets set only DETECTS models; raising a target + then distills that model's traces up to the target. Replaces the old global + `max_patterns_per_run`. +- **Live mining progress.** `GET /api/dashboard/reasoning/status` and the + dashboard show the phase (scanning → ingesting → distilling → done), files + scanned/total, traces found/ingested, and per-model distillation progress + while a run is active. The `smem reasoning mine` CLI prints the same, and + `docker logs` shows INFO milestones at start / after ingest / at end. +- **Backfill is a true full re-scan.** `--backfill` (CLI / MCP / dashboard) now + re-reads every transcript from the top, bypassing the incremental + size+mtime/line skip (trace-hash dedup keeps it idempotent) instead of only + widening the lookback window. It never deletes scan state, so a later normal + scan stays cheap. + +### Changed + +- **opus-4-8 is now mined.** It was wrongly denylisted as "signature-only + thinking"; the real corpus has ~933 opus-4-8 traces averaging ~1166 chars of + genuine reasoning. The prefix-denylist mechanism is kept (currently empty) for + a future thinking-less model. +- **No per-scan trace cap.** `max_traces_per_scan` is removed — mining ingests + one transcript at a time (bounded memory) and sees ALL traces. The + `max_trace_chars` content-safety limit is raised 20k → 100k. + +### Fixed + +- **Docker: reasoning mining found zero traces.** `docker-compose.surrealdb.yml` + now mounts the host's `~/.claude/projects` read-only into the dashboard + container at `/home/appuser/.claude/projects`. Without it the in-container miner + scanned an empty `~/.claude` and every dashboard "Mine" finished instantly with + 0 traces (no error) — looking like nothing happened. Projects-only, read-only + mount (not the whole `~/.claude`); override via `HOST_CLAUDE_PROJECTS` in `.env`. ## [2.12.1] — Release pipeline: npm packages actually ship again diff --git a/dashboard/e2e/reasoning.spec.ts b/dashboard/e2e/reasoning.spec.ts index 91070de8..4e25d918 100644 --- a/dashboard/e2e/reasoning.spec.ts +++ b/dashboard/e2e/reasoning.spec.ts @@ -27,19 +27,18 @@ const STATUS_BODY = { injection_map: {}, categories: CATEGORIES, min_trace_chars: 200, - max_trace_chars: 20000, - max_traces_per_scan: 500, + max_trace_chars: 100000, scan_lookback_days: 30, retention_days: 90, max_traces_total: 20000, min_cluster_support: 3, - max_patterns_per_run: 10, min_confidence: 0.2, min_patterns_per_category: 3, injection_max_patterns: 5, injection_max_chars: 4000, distill_use_llm: false, redact_secrets: true, + pattern_targets: {}, }, detected_models: ["claude-fable-5"], per_model: [ @@ -67,8 +66,16 @@ const STATUS_BODY = { running: false, started_at: null, finished_at: null, + phase: "idle", + files_total: 0, + files_scanned: 0, + traces_found: 0, traces_ingested: 0, + traces_processed: 0, patterns_learned: 0, + current_model: null, + models_done: 0, + models_total: 0, dry_run: false, error: null, }, diff --git a/dashboard/src/api/hooks/useReasoning.ts b/dashboard/src/api/hooks/useReasoning.ts index 1aa0b7b7..73b1b152 100644 --- a/dashboard/src/api/hooks/useReasoning.ts +++ b/dashboard/src/api/hooks/useReasoning.ts @@ -22,8 +22,8 @@ export function useReasoningStatus() { return useQuery({ queryKey: keys.status, queryFn: () => api.get("/api/dashboard/reasoning/status"), - // Poll while a mining job is running so counts/coverage update live. - refetchInterval: (query) => (query.state.data?.mining.running ? 3000 : false), + // Poll while a mining job is running so live progress + counts update. + refetchInterval: (query) => (query.state.data?.mining.running ? 1500 : false), }) } diff --git a/dashboard/src/api/types.ts b/dashboard/src/api/types.ts index 3700a72f..638892f3 100755 --- a/dashboard/src/api/types.ts +++ b/dashboard/src/api/types.ts @@ -487,18 +487,18 @@ export interface ReasoningConfig { categories: string[] min_trace_chars: number max_trace_chars: number - max_traces_per_scan: number scan_lookback_days: number retention_days: number max_traces_total: number min_cluster_support: number - max_patterns_per_run: number min_confidence: number min_patterns_per_category: number injection_max_patterns: number injection_max_chars: number distill_use_llm: boolean redact_secrets: boolean + // Per-model distillation targets (model -> desired pattern count, 0..100). + pattern_targets: Record } export interface ModelTraceStats { @@ -517,12 +517,22 @@ export interface CategoryCoverage { covered: boolean } +export type MiningPhase = "idle" | "scanning" | "ingesting" | "distilling" | "done" + export interface MiningJobState { running: boolean started_at: string | null finished_at: string | null + phase: MiningPhase + files_total: number + files_scanned: number + traces_found: number traces_ingested: number + traces_processed: number patterns_learned: number + current_model: string | null + models_done: number + models_total: number dry_run: boolean error: string | null } @@ -546,15 +556,17 @@ export interface ReasoningConfigUpdate { mining_models?: string[] injection_map?: Record categories?: string[] + min_trace_chars?: number + max_trace_chars?: number scan_lookback_days?: number retention_days?: number max_traces_total?: number min_cluster_support?: number - max_patterns_per_run?: number min_confidence?: number min_patterns_per_category?: number injection_max_patterns?: number injection_max_chars?: number + pattern_targets?: Record } export interface ReasoningConfigUpdateResponse { diff --git a/dashboard/src/features/reasoning/MiningConfigCard.tsx b/dashboard/src/features/reasoning/MiningConfigCard.tsx index c87eeeda..f97c2287 100644 --- a/dashboard/src/features/reasoning/MiningConfigCard.tsx +++ b/dashboard/src/features/reasoning/MiningConfigCard.tsx @@ -11,12 +11,66 @@ import { useUpdateReasoningConfig, useWipeTraces, } from "@/api/hooks/useReasoning" -import type { ReasoningStatusResponse } from "@/api/types" +import type { MiningJobState, ReasoningStatusResponse } from "@/api/types" interface Props { status: ReasoningStatusResponse } +function MiningProgressBlock({ mining }: { mining: MiningJobState }) { + const { t } = useTranslation() + const { phase, files_total, files_scanned, traces_found, traces_ingested } = mining + const pct = files_total > 0 ? Math.round((files_scanned / files_total) * 100) : 0 + const scanning = phase === "scanning" || phase === "ingesting" + const phaseLabel = + phase === "scanning" + ? t("reasoning.progressScanning") + : phase === "ingesting" + ? t("reasoning.progressIngesting") + : phase === "distilling" + ? t("reasoning.progressDistilling") + : t("reasoning.progressDone") + + return ( +
+
+ {phaseLabel} + {scanning && files_total > 0 && ( + + {t("reasoning.progressFiles", { scanned: files_scanned, total: files_total })} + + )} +
+ {scanning && files_total > 0 && ( +
+
+
+ )} + {scanning && ( +

+ {t("reasoning.progressTraces", { found: traces_found, ingested: traces_ingested })} +

+ )} + {phase === "distilling" && ( +

+ {t("reasoning.progressModels", { + model: mining.current_model ?? "", + done: mining.models_done, + total: mining.models_total, + patterns: mining.patterns_learned, + })} +

+ )} +
+ ) +} + export function MiningConfigCard({ status }: Props) { const { t } = useTranslation() const updateConfig = useUpdateReasoningConfig() @@ -169,6 +223,8 @@ export function MiningConfigCard({ status }: Props) { {running ? t("reasoning.miningRunning") : t("reasoning.runMining")}
+ + {running && } m.has_thinking_text) + const configTargets = status.config.pattern_targets + + const [targets, setTargets] = useState>(configTargets) + // Re-sync local slider state when the server config changes. + useEffect(() => { + setTargets(configTargets) + }, [configTargets]) + + const setTarget = (model: string, value: number) => { + const next = { ...targets, [model]: value } + setTargets(next) + updateConfig.mutate( + { pattern_targets: next }, + { + onSuccess: () => toast.success(t("reasoning.configSaved")), + onError: (err) => toast.error(apiErrorMessage(err, t("reasoning.configSaveFailed"))), + }, + ) + } + + return ( + + + {t("reasoning.targetsTitle")} + + + {models.length === 0 ? ( +

{t("reasoning.noModels")}

+ ) : ( +
+ {models.map((m) => { + const value = targets[m.model] ?? 0 + return ( +
+
+ {m.model} + + {value} + +
+ setTarget(m.model, Number(e.target.value))} + className="w-full cursor-pointer accent-primary" + /> +
+ + {t("reasoning.targetCounts", { + patterns: m.pattern_count, + traces: m.trace_count, + })} + + {value === 0 && {t("reasoning.targetsZeroHint")}} +
+
+ ) + })} +
+ )} +

{t("reasoning.targetsHint")}

+ + + ) +} diff --git a/dashboard/src/features/reasoning/ReasoningPage.tsx b/dashboard/src/features/reasoning/ReasoningPage.tsx index fbd201da..87b66619 100644 --- a/dashboard/src/features/reasoning/ReasoningPage.tsx +++ b/dashboard/src/features/reasoning/ReasoningPage.tsx @@ -8,6 +8,7 @@ import { Skeleton } from "@/components/ui/skeleton" import { useReasoningStatus } from "@/api/hooks/useReasoning" import type { ReasoningStatusResponse } from "@/api/types" import { MiningConfigCard } from "./MiningConfigCard" +import { PatternTargetsCard } from "./PatternTargetsCard" import { InjectionMappingCard } from "./InjectionMappingCard" import { PatternsTable } from "./PatternsTable" @@ -126,9 +127,11 @@ export default function ReasoningPage() {
- +
+ + tuple[str, ...]: @@ -137,6 +137,12 @@ async def _mine() -> None: from surreal_memory.engine.reasoning_distiller import distill_reasoning_patterns from surreal_memory.engine.reasoning_miner import ingest_reasoning_traces + from surreal_memory.engine.reasoning_progress import ( + PHASE_DISTILLING, + PHASE_INGESTING, + PHASE_SCANNING, + MiningProgress, + ) from surreal_memory.unified_config import get_config as get_unified_config config = get_config() @@ -174,11 +180,40 @@ async def _mine() -> None: overrides["mining_models"] = model_list run_cfg = dc_replace(ucfg, reasoning_training=dc_replace(rt, **overrides)) - ingest = await ingest_reasoning_traces(storage, brain_id, run_cfg) - distill = await distill_reasoning_patterns(storage, brain_id, run_cfg) + # Live progress printer (human output only; keeps --json machine-clean). + _prog: dict[str, Any] = {"phase": "", "model": "", "files": -1} + + def _progress(p: MiningProgress) -> None: + if json_output: + return + if p.phase != _prog["phase"]: + _prog["phase"] = p.phase + typer.echo(f"[{p.phase}]") + if p.phase in (PHASE_SCANNING, PHASE_INGESTING): + if p.files_total and p.files_scanned - int(_prog["files"]) >= 250: + _prog["files"] = p.files_scanned + typer.echo( + f" scanned {p.files_scanned}/{p.files_total} files " + f"· {p.traces_found} traces" + ) + elif ( + p.phase == PHASE_DISTILLING + and p.current_model + and p.current_model != _prog["model"] + ): + _prog["model"] = p.current_model + typer.echo(f" distilling {p.current_model} ({p.models_done}/{p.models_total})") + + ingest = await ingest_reasoning_traces( + storage, brain_id, run_cfg, backfill=backfill, progress=_progress + ) + distill = await distill_reasoning_patterns( + storage, brain_id, run_cfg, drain=True, progress=_progress + ) result = { "traces_ingested": ingest.traces_ingested, "patterns_learned": distill.patterns_learned, + "files_scanned": ingest.files_scanned, } if json_output: output_result(result, True) diff --git a/src/surreal_memory/engine/reasoning_distiller.py b/src/surreal_memory/engine/reasoning_distiller.py index d90aa31b..e59078a4 100644 --- a/src/surreal_memory/engine/reasoning_distiller.py +++ b/src/surreal_memory/engine/reasoning_distiller.py @@ -33,9 +33,11 @@ from surreal_memory.core.neuron import Neuron, NeuronType from surreal_memory.core.synapse import Direction, Synapse, SynapseType from surreal_memory.engine.clustering import UnionFind +from surreal_memory.engine.reasoning_progress import PHASE_DISTILLING, MiningProgress if TYPE_CHECKING: from surreal_memory.engine.embedding.provider import EmbeddingProvider + from surreal_memory.engine.reasoning_progress import ProgressCallback from surreal_memory.storage.base import NeuralStorage from surreal_memory.unified_config import ReasoningTrainingConfig, UnifiedConfig @@ -46,6 +48,9 @@ _MOVE_JACCARD = 0.6 _CLASSIFY_CHARS = 500 _BATCH_PER_MODEL = 200 +# Ceiling on existing pattern fibers fetched for dedup/existing-count/coverage. +# Raised from 5000 for full-corpus mining across many models (u008). +_PATTERN_FETCH_LIMIT = 20_000 # ── Reasoning moves (closed vocabulary; regex discourse markers) ────────────── _REASONING_MOVES: dict[str, re.Pattern[str]] = { @@ -477,10 +482,10 @@ async def _process_model_batch( """Distill one model's trace batch. Returns (patterns_created, consumed_ids). ``consumed_ids`` are the traces safe to mark processed: ``other`` traces, - under-support categories, and every category fully clustered before the - ``budget`` (remaining max_patterns_per_run) ran out. A category left - unreached — or cut off mid-cluster — by the cap is NOT consumed, so the next - run revisits it (already-materialized patterns are skipped by signature). + under-support categories, and every category fully clustered before this + model's remaining per-target ``budget`` ran out. A category left unreached — + or cut off mid-cluster — by the budget is NOT consumed, so the next run + revisits it (already-materialized patterns are skipped by signature). """ clf_texts = [ f"{t.get('task_context', '')} {str(t.get('content', ''))[:_CLASSIFY_CHARS]}".strip() @@ -507,7 +512,7 @@ async def _process_model_batch( created = 0 for category, idxs in by_category.items(): if created >= budget: - break # cap reached before this category → leave its traces unprocessed + break # budget reached before this category → leave its traces unprocessed if len(idxs) < rt.min_cluster_support: consumed.extend(traces[i]["id"] for i in idxs) # too few to cluster; done continue @@ -542,22 +547,43 @@ async def distill_reasoning_patterns( config: UnifiedConfig, *, embedder: EmbeddingProvider | None = None, + drain: bool = False, + progress: ProgressCallback | None = None, ) -> DistillResult: """Distill unprocessed reasoning traces into ReasoningBank pattern fibers. ``storage`` must already be on ``brain_id`` (graph writes use the current - brain). Marks only the consumed traces processed, then prunes/caps staging. + brain). Distillation is governed by per-model targets + (``reasoning_training.pattern_targets``): for each detected source model the + budget is ``max(0, target - existing_patterns_for_that_model)``. A model with + budget 0 (its target is unset/0, or already met) is SKIPPED entirely — its + traces stay unprocessed until a target is raised, so a preliminary Mine with + no targets set only DETECTS models without distilling anything. + + ``drain=True`` (a manual ``POST /mine``) keeps fetching batches for a model + until its budget is spent or its backlog is exhausted; ``drain=False`` + (background consolidation) processes at most one batch per model per run. + Consumed traces are marked processed per batch so the next fetch returns + fresh work. ``progress`` receives a distilling snapshot as each model + advances. """ rt = config.reasoning_training embedder = embedder or _get_embedder() seeds = await _seed_centroids(embedder, rt.categories) if embedder is not None else None - existing = await storage.find_fibers(metadata_key="_reasoning_pattern", limit=5000) + existing = await storage.find_fibers( + metadata_key="_reasoning_pattern", limit=_PATTERN_FETCH_LIMIT + ) existing_sigs = { str(f.metadata.get("_reasoning_signature")) for f in existing if f.metadata.get("_reasoning_signature") } + existing_by_model: dict[str, int] = {} + for f in existing: + source_model = f.metadata.get("_source_model") + if source_model: + existing_by_model[str(source_model)] = existing_by_model.get(str(source_model), 0) + 1 patterns_created = 0 processed_ids: list[Any] = [] @@ -567,32 +593,61 @@ async def distill_reasoning_patterns( # the same models as ingestion (and to POST /mine's models= override). An # empty mining_models means "all models" (unchanged default behavior). models = [m for m in models if any(fnmatch(m, pat) for pat in rt.mining_models)] + models_total = len(models) + + def _emit(current_model: str | None, models_done: int) -> None: + if progress is not None: + progress( + MiningProgress( + phase=PHASE_DISTILLING, + traces_processed=len(processed_ids), + patterns_learned=patterns_created, + current_model=current_model, + models_done=models_done, + models_total=models_total, + ) + ) - for model in models: - budget = rt.max_patterns_per_run - patterns_created + for idx, model in enumerate(models): + budget = max(0, rt.pattern_targets.get(model, 0) - existing_by_model.get(model, 0)) if budget <= 0: - break - traces = await storage.get_unprocessed_reasoning_traces( - brain_id, limit=rt.max_traces_per_scan, model=model - ) - traces = traces[:_BATCH_PER_MODEL] # one bounded batch per model per run - if not traces: + # Target unset/0 or already met → leave this model's traces unprocessed. + _emit(model, idx + 1) continue - created, consumed = await _process_model_batch( - storage, brain_id, rt, model, traces, embedder, seeds, existing_sigs, budget - ) - patterns_created += created - processed_ids.extend(consumed) + while budget > 0: + traces = await storage.get_unprocessed_reasoning_traces( + brain_id, limit=_BATCH_PER_MODEL, model=model + ) + traces = traces[:_BATCH_PER_MODEL] + if not traces: + break # backlog for this model exhausted + created, consumed = await _process_model_batch( + storage, brain_id, rt, model, traces, embedder, seeds, existing_sigs, budget + ) + patterns_created += created + budget -= created + if consumed: + processed_ids.extend(consumed) + # Mark consumed processed NOW so the next fetch returns fresh + # traces — otherwise a drain loop re-fetches the same batch forever. + await storage.mark_reasoning_traces_processed(brain_id, consumed) + _emit(model, idx) + # Termination guard: a batch that consumes nothing makes no forward + # progress (budget hit 0 mid-category), so stop draining this model. + if not consumed: + break + if not drain: + break # background consolidation: one batch per model per run + _emit(model, idx + 1) if processed_ids: - await storage.mark_reasoning_traces_processed(brain_id, processed_ids) await storage.prune_reasoning_traces(brain_id, rt.retention_days) await storage.cap_reasoning_traces(brain_id, rt.max_traces_total) return DistillResult( patterns_learned=patterns_created, traces_processed=len(processed_ids), - models_seen=len(models), + models_seen=models_total, ) @@ -609,7 +664,9 @@ async def reasoning_coverage( it is never in ``categories``). ``storage`` must be on the target brain. """ rt = config.reasoning_training - fibers = await storage.find_fibers(metadata_key="_reasoning_pattern", limit=5000) + fibers = await storage.find_fibers( + metadata_key="_reasoning_pattern", limit=_PATTERN_FETCH_LIMIT + ) counts: dict[str, int] = dict.fromkeys(rt.categories, 0) for f in fibers: md = f.metadata diff --git a/src/surreal_memory/engine/reasoning_injection.py b/src/surreal_memory/engine/reasoning_injection.py index 531c2d1b..179b8f53 100644 --- a/src/surreal_memory/engine/reasoning_injection.py +++ b/src/surreal_memory/engine/reasoning_injection.py @@ -43,7 +43,7 @@ # the distiller's own fetch limit. If it is ever hit, we warn rather than let a # source model's patterns silently fall outside the window (the post-LIMIT # metadata-filter failure mode documented in storage.find_fibers). -_PATTERN_FETCH_LIMIT = 5000 +_PATTERN_FETCH_LIMIT = 20_000 # Claude Code short model aliases -> canonical ids used across the reasoning # pipeline. Full ids pass through ``normalize_model`` unchanged. diff --git a/src/surreal_memory/engine/reasoning_miner.py b/src/surreal_memory/engine/reasoning_miner.py index e303fd54..c9f2e72e 100644 --- a/src/surreal_memory/engine/reasoning_miner.py +++ b/src/surreal_memory/engine/reasoning_miner.py @@ -13,18 +13,25 @@ from __future__ import annotations +import asyncio import hashlib import json import logging +import os import re import time -from dataclasses import dataclass +from dataclasses import dataclass, replace from datetime import UTC from fnmatch import fnmatch from functools import lru_cache from pathlib import Path from typing import TYPE_CHECKING, Any +from surreal_memory.engine.reasoning_progress import ( + PHASE_INGESTING, + PHASE_SCANNING, + MiningProgress, +) from surreal_memory.safety.sensitive import ( SensitivePattern, SensitiveType, @@ -36,15 +43,25 @@ if TYPE_CHECKING: from datetime import datetime + from surreal_memory.engine.reasoning_progress import ProgressCallback from surreal_memory.storage.base import NeuralStorage from surreal_memory.unified_config import ReasoningTrainingConfig, UnifiedConfig +# Persist scan-state to disk this often (in files) during a long ingest, so a +# crash midway keeps most of the progress; a full save also runs in ``finally``. +_STATE_SAVE_EVERY = 50 +# Emit a milestone log line this often (in files) so ``docker logs`` shows life. +_LOG_EVERY = 250 + logger = logging.getLogger(__name__) -# Models whose thinking blocks are empty (signature-only) — never a mining -# source. opus-4.8 is already excluded by the non-empty-thinking filter; this is -# a belt-and-suspenders prefix denylist (see run 007 BINDING CORRECTION #5). -_MODELS_WITHOUT_THINKING = ("claude-opus-4-8",) +# Prefix denylist of models whose thinking blocks are empty (signature-only) and +# must never be mined. Currently EMPTY: run-007 assumed claude-opus-4-8 emitted +# signature-only thinking, but the real corpus has ~933 opus-4-8 traces averaging +# ~1166 chars of genuine reasoning, so opus is now mined like any other model. +# The mechanism (_is_denylisted, the route's _has_thinking / PUT-config 422 path) +# is kept for a future model that genuinely lacks thinking text. +_MODELS_WITHOUT_THINKING: tuple[str, ...] = () # The synthetic attribution used for non-model turns — never mine it. _SYNTHETIC_MODEL = "" @@ -166,9 +183,50 @@ def _extract_user_text(entry: dict[str, Any]) -> str: return "" -def _project_from_path(jsonl: Path) -> str: - """Derive a readable project name from the transcript's parent directory.""" - return jsonl.parent.name +def _project_from_path(resolved: Path, projects_dir: Path) -> str: + """Derive the top-level project name from the transcript's location under *projects_dir*. + + Uses the first path segment under ``projects/`` (e.g. ``proj-a`` for both + ``proj-a/session.jsonl`` and ``proj-a/session/subagents/agent-1.jsonl``), + NOT the immediate parent directory — so nested session transcripts and Task-tool + subagent transcripts attribute to their actual project instead of a literal + session-id or ``"subagents"`` pseudo-project. + """ + try: + rel = resolved.relative_to(projects_dir.resolve()) + except ValueError: + return resolved.parent.name + return rel.parts[0] + + +def _discover_transcripts(projects_dir: Path, claude_root: Path) -> list[tuple[Path, Path]]: + """Recursively discover transcript files under *projects_dir*. + + Covers not just the direct ``projects//*.jsonl`` layer but also + session transcripts nested in dated/session subdirectories and Task-tool + subagent transcripts (``projects///subagents/agent-*.jsonl``), + which a one-level glob misses entirely. + + Each candidate must (a) resolve inside *claude_root* — a path-escape guard + against symlink/traversal tricks, checked at every depth, not just the top + level — and (b) sit at least one directory below *projects_dir*: a stray + file placed directly in ``projects/`` isn't associated with any project and + is skipped. Returns ``(original, resolved)`` pairs sorted by original path. + """ + projects_root = projects_dir.resolve() + discovered: list[tuple[Path, Path]] = [] + for jsonl in sorted(projects_dir.rglob("*.jsonl")): + resolved = jsonl.resolve() + if not resolved.is_relative_to(claude_root): + continue + try: + rel = resolved.relative_to(projects_root) + except ValueError: + continue + if len(rel.parts) < 2: + continue + discovered.append((jsonl, resolved)) + return discovered def _now_ts(now: datetime | None) -> float: @@ -198,12 +256,48 @@ def _save_scan_state(state_path: Path | None, state: dict[str, dict[str, Any]]) logger.debug("reasoning scan-state write failed: %s", state_path, exc_info=True) +def _plan_file_scan( + st: os.stat_result, + prev: dict[str, Any], + cutoff_ts: float | None, + *, + backfill: bool, +) -> tuple[bool, int]: + """Decide whether to skip a transcript file and which line to resume from. + + Normal scans (``backfill=False``) apply today's incrementality exactly as + before: honor the lookback cutoff, skip files whose size+mtime are + unchanged since the last scan, and resume after the last processed line on + append-only growth (falling back to line 0 on shrink/rewrite). + + A backfill scan (``backfill=True``) is a full re-scan BYPASS, not a + state-deletion: it ignores the lookback cutoff and the size+mtime skip and + always reads from line 0, regardless of what the scan-state says. It never + deletes or resets the state file — the caller still records this file's + fresh ``(mtime, size, last_line)`` afterward exactly as a normal scan + would, so trace_hash dedup at insert time makes the re-emission harmless + and a LATER normal scan sees the file as unchanged and skips it again. + + Returns ``(skip, start_line)``. + """ + if backfill: + return False, 0 + if cutoff_ts is not None and st.st_mtime < cutoff_ts: + return True, 0 + if prev.get("size") == st.st_size and prev.get("mtime") == st.st_mtime: + return True, 0 + start_line = int(prev.get("last_line", 0)) if st.st_size > int(prev.get("size", 0)) else 0 + return False, start_line + + @dataclass class ReasoningIngestResult: """Outcome of a reasoning-trace ingest pass.""" traces_ingested: int = 0 traces_scanned: int = 0 + files_total: int = 0 + files_scanned: int = 0 def scan_transcripts( @@ -212,17 +306,29 @@ def scan_transcripts( state_path: Path | None = None, claude_dir: Path | None = None, now: datetime | None = None, + backfill: bool = False, ) -> list[dict[str, Any]]: - """Scan ``~/.claude/projects/*/*.jsonl`` for mineable reasoning traces. - - Returns staging-ready dicts (trace_hash, model, session_id, project, - task_context, content, content_chars, created_at). Honors the config's - model globs, char limits, per-scan cap, lookback window and redaction flag, - and updates the incremental scan-state file. - - The per-scan cap is a soft target: a file is always scanned whole (so its - recorded state never hides un-returned traces), and scanning simply stops - after the running total reaches ``max_traces_per_scan``. + """Scan ``~/.claude/projects/**/*.jsonl`` for mineable reasoning traces. + + Discovery is recursive (see ``_discover_transcripts``): it covers nested + session transcripts and Task-tool subagent transcripts, not just the + direct ``projects//*.jsonl`` layer. Returns staging-ready dicts + (trace_hash, model, session_id, project, task_context, content, + content_chars, created_at). Honors the config's model globs, char limits, + lookback window and redaction flag, and updates the incremental + scan-state file (keyed by each file's full resolved path, so the extra + discovery depth simply accrues new entries). + + There is no per-scan cap: every matching file is scanned in full and all + its traces are returned, unbounded. + + ``backfill=True`` is a full re-scan BYPASS (see ``_plan_file_scan``): it + ignores the lookback cutoff, the size+mtime skip and any resume line for + EVERY discovered file, re-reading each one from the top. It is not + state-deletion — the scan-state entry for each file is still (re)written + afterward exactly as in a normal scan, so trace_hash dedup at insert time + keeps the re-emission harmless and a later normal (``backfill=False``) + scan again sees unchanged files and skips them cheaply. """ claude_root = (claude_dir or (Path.home() / ".claude")).resolve() projects_dir = claude_root / "projects" @@ -239,35 +345,23 @@ def scan_transcripts( traces: list[dict[str, Any]] = [] seen_hashes: set[str] = set() - for jsonl in sorted(projects_dir.glob("*/*.jsonl")): - resolved = jsonl.resolve() - # Path-escape guard: never read outside ~/.claude (symlink / traversal). - if not resolved.is_relative_to(claude_root): - continue + for _jsonl, resolved in _discover_transcripts(projects_dir, claude_root): try: st = resolved.stat() except OSError: continue - # Lookback window: skip transcripts untouched within scan_lookback_days. - if cutoff_ts is not None and st.st_mtime < cutoff_ts: - continue key = str(resolved) prev = state.get(key, {}) - # Incremental: skip files whose size+mtime are unchanged since last scan. - if prev.get("size") == st.st_size and prev.get("mtime") == st.st_mtime: + skip, start_line = _plan_file_scan(st, prev, cutoff_ts, backfill=backfill) + if skip: continue - # Resume after the last processed line on append-only growth; otherwise - # (shrunk / rewritten / edited-in-place) rescan from the top — trace_hash - # dedup keeps any re-emitted traces harmless at insert time. - start_line = int(prev.get("last_line", 0)) if st.st_size > int(prev.get("size", 0)) else 0 + project = _project_from_path(resolved, projects_dir) file_traces, line_count = _scan_file( - resolved, config, seen_hashes, fallback_created, start_line=start_line + resolved, config, seen_hashes, fallback_created, project, start_line=start_line ) traces.extend(file_traces) state[key] = {"mtime": st.st_mtime, "size": st.st_size, "last_line": line_count} - if len(traces) >= config.max_traces_per_scan: - break _save_scan_state(state_path, state) return traces @@ -278,6 +372,7 @@ def _scan_file( config: ReasoningTrainingConfig, seen_hashes: set[str], fallback_created: str, + project: str, *, start_line: int = 0, ) -> tuple[list[dict[str, Any]], int]: @@ -286,7 +381,6 @@ def _scan_file( ``start_line`` resumes after an already-processed prefix (append-only growth), so a resumed scan does not re-emit traces from earlier passes. """ - project = _project_from_path(resolved) out: list[dict[str, Any]] = [] prev_user_text = "" line_count = start_line @@ -411,19 +505,115 @@ async def ingest_reasoning_traces( claude_dir: Path | None = None, state_path: Path | None = None, now: datetime | None = None, + backfill: bool = False, + progress: ProgressCallback | None = None, ) -> ReasoningIngestResult: - """Scan transcripts and insert new reasoning traces into staging. - - The scan-state file lives under ``config.data_dir`` unless overridden. + """Scan transcripts and insert new reasoning traces into staging, per file. + + Unlike the synchronous :func:`scan_transcripts` (which gathers every trace + into one list), this async path discovers the transcript corpus, then scans + and INSERTS one file at a time: each file's blocking read runs in + ``asyncio.to_thread`` and its traces are staged immediately before the next + file is opened. That bounds peak memory to a single file's traces regardless + of corpus size (what makes the un-capped full-corpus scan safe) and lets it + report live :class:`MiningProgress` through *progress* as it goes. + + Scan-state is written every ``_STATE_SAVE_EVERY`` files and again in a + ``finally`` block, and a file's state entry is recorded only AFTER its + traces are successfully inserted — so a crash mid-insert leaves the failed + file un-recorded (it is re-scanned next run) while completed files persist. + The state file lives under ``config.data_dir`` unless overridden and is + never deleted; ``backfill=True`` bypasses the per-file skip (see + :func:`_plan_file_scan`) but is only ever set for an explicit user-triggered + run, never for background consolidation. """ resolved_state = state_path or (config.data_dir / "reasoning_scan_state.json") - traces = scan_transcripts( - config.reasoning_training, - state_path=resolved_state, - claude_dir=claude_dir, - now=now, + rt = config.reasoning_training + claude_root = (claude_dir or (Path.home() / ".claude")).resolve() + projects_dir = claude_root / "projects" + + prog = MiningProgress(phase=PHASE_SCANNING) + + def _emit() -> None: + if progress is not None: + progress(replace(prog)) + + if not projects_dir.is_dir(): + _emit() + return ReasoningIngestResult() + + discovered = _discover_transcripts(projects_dir, claude_root) + prog.files_total = len(discovered) + _emit() + + now_ts = _now_ts(now) + cutoff_ts = now_ts - rt.scan_lookback_days * 86400 if rt.scan_lookback_days > 0 else None + fallback_created = (now or utcnow()).isoformat() + + state = _load_scan_state(resolved_state) + seen_hashes: set[str] = set() + traces_scanned = 0 + traces_ingested = 0 + files_scanned = 0 + + prog.phase = PHASE_INGESTING + try: + for _jsonl, resolved in discovered: + try: + st = resolved.stat() + except OSError: + files_scanned += 1 + prog.files_scanned = files_scanned + continue + + key = str(resolved) + prev = state.get(key, {}) + skip, start_line = _plan_file_scan(st, prev, cutoff_ts, backfill=backfill) + if not skip: + project = _project_from_path(resolved, projects_dir) + # The blocking file read runs off the event-loop thread and + # RETURNS its traces; the callback below is only ever invoked + # from this (event-loop) thread. + file_traces, line_count = await asyncio.to_thread( + _scan_file, + resolved, + rt, + seen_hashes, + fallback_created, + project, + start_line=start_line, + ) + if file_traces: + # Insert this file's traces before opening the next file, so + # peak memory is one file's worth of traces, not the corpus. + inserted = await storage.insert_reasoning_traces(brain_id, file_traces) + traces_scanned += len(file_traces) + traces_ingested += inserted + # Record this file's scan-state ONLY after a successful insert: + # a crash mid-insert leaves it un-recorded so it is re-scanned. + state[key] = {"mtime": st.st_mtime, "size": st.st_size, "last_line": line_count} + + files_scanned += 1 + prog.files_scanned = files_scanned + prog.traces_found = traces_scanned + prog.traces_ingested = traces_ingested + if files_scanned % _STATE_SAVE_EVERY == 0: + _save_scan_state(resolved_state, state) + if files_scanned % _LOG_EVERY == 0: + logger.info( + "reasoning ingest: %d/%d files scanned, %d traces (%d new)", + files_scanned, + prog.files_total, + traces_scanned, + traces_ingested, + ) + _emit() + finally: + _save_scan_state(resolved_state, state) + + return ReasoningIngestResult( + traces_ingested=traces_ingested, + traces_scanned=traces_scanned, + files_total=prog.files_total, + files_scanned=files_scanned, ) - if not traces: - return ReasoningIngestResult(traces_ingested=0, traces_scanned=0) - ingested = await storage.insert_reasoning_traces(brain_id, traces) - return ReasoningIngestResult(traces_ingested=ingested, traces_scanned=len(traces)) diff --git a/src/surreal_memory/engine/reasoning_progress.py b/src/surreal_memory/engine/reasoning_progress.py new file mode 100644 index 00000000..e9f680e7 --- /dev/null +++ b/src/surreal_memory/engine/reasoning_progress.py @@ -0,0 +1,49 @@ +"""Live progress reporting for a reasoning-mining run. + +A ``MiningProgress`` snapshot is emitted through a ``ProgressCallback`` as a +mining run moves through its phases (``scanning`` the transcript corpus -> +``ingesting`` traces per file -> ``distilling`` patterns per model -> ``done``). +The callback is invoked ONLY from the event-loop thread: blocking file work runs +in ``asyncio.to_thread`` and returns its data to the caller, which then emits the +progress update. Consumers (the dashboard mining-state, the CLI progress printer, +the MCP response) read these snapshots; they never mutate a live object because +each emit passes an immutable copy. +""" + +from __future__ import annotations + +from collections.abc import Callable +from dataclasses import dataclass + +# Ordered mining phases. ``idle`` is the resting state before a run starts. +PHASE_IDLE = "idle" +PHASE_SCANNING = "scanning" +PHASE_INGESTING = "ingesting" +PHASE_DISTILLING = "distilling" +PHASE_DONE = "done" + + +@dataclass +class MiningProgress: + """A point-in-time snapshot of a reasoning-mining run. + + Additive by design: scanning/ingesting populate the file + trace counters; + distillation (a later stage) populates ``current_model`` and the model / + pattern counters. All fields default so a partially-populated snapshot is + always valid. + """ + + phase: str = PHASE_IDLE + files_total: int = 0 + files_scanned: int = 0 + traces_found: int = 0 + traces_ingested: int = 0 + traces_processed: int = 0 + patterns_learned: int = 0 + current_model: str | None = None + models_done: int = 0 + models_total: int = 0 + + +# A progress sink. Invoked from the event-loop thread with an immutable snapshot. +ProgressCallback = Callable[[MiningProgress], None] diff --git a/src/surreal_memory/mcp/reasoning_handler.py b/src/surreal_memory/mcp/reasoning_handler.py index eb806c56..cc5ea7e7 100644 --- a/src/surreal_memory/mcp/reasoning_handler.py +++ b/src/surreal_memory/mcp/reasoning_handler.py @@ -18,7 +18,7 @@ logger = logging.getLogger(__name__) -_PATTERN_FETCH_LIMIT = 5000 +_PATTERN_FETCH_LIMIT = 20_000 class ReasoningHandler: @@ -135,8 +135,9 @@ async def _reasoning_mine(self, brain_id: str, args: dict[str, Any]) -> dict[str if args.get("dry_run"): return {"traces_ingested": 0, "patterns_learned": 0, "dry_run": True} + backfill = bool(args.get("backfill")) overrides: dict[str, Any] = {} - if args.get("backfill"): + if backfill: overrides["scan_lookback_days"] = 0 models = args.get("models") if isinstance(models, list) and models: @@ -151,11 +152,13 @@ async def _reasoning_mine(self, brain_id: str, args: dict[str, Any]) -> dict[str storage = await create_isolated_storage(brain_id) owns_storage = self.config.storage_backend == "surrealdb" try: - ingest = await ingest_reasoning_traces(storage, brain_id, run_cfg) - distill = await distill_reasoning_patterns(storage, brain_id, run_cfg) + ingest = await ingest_reasoning_traces(storage, brain_id, run_cfg, backfill=backfill) + distill = await distill_reasoning_patterns(storage, brain_id, run_cfg, drain=True) return { "traces_ingested": ingest.traces_ingested, "patterns_learned": distill.patterns_learned, + "files_scanned": ingest.files_scanned, + "files_total": ingest.files_total, } finally: if owns_storage: diff --git a/src/surreal_memory/server/app.py b/src/surreal_memory/server/app.py index cb78575f..7b78d53d 100755 --- a/src/surreal_memory/server/app.py +++ b/src/surreal_memory/server/app.py @@ -51,6 +51,20 @@ async def lifespan(app: FastAPI) -> AsyncGenerator[None, None]: _logger = logging.getLogger(__name__) + # Ensure surreal_memory.* INFO logs (mining milestones, consolidation) reach + # container stdout: uvicorn configures only its own loggers (not the root), + # so without this our INFO lines are swallowed by the WARNING-only lastResort + # handler. Only act when nothing else has configured logging, to avoid + # duplicate lines under an external log config. + _sm_logger = logging.getLogger("surreal_memory") + if _sm_logger.getEffectiveLevel() > logging.INFO: + _sm_logger.setLevel(logging.INFO) + if not _sm_logger.handlers and not logging.getLogger().handlers: + _handler = logging.StreamHandler() + _handler.setFormatter(logging.Formatter("%(asctime)s %(levelname)s %(name)s: %(message)s")) + _sm_logger.addHandler(_handler) + _sm_logger.propagate = False + # Register community plugin for full Pro features (no license required) try: from surreal_memory.plugins import has_pro, register diff --git a/src/surreal_memory/server/routes/reasoning_training.py b/src/surreal_memory/server/routes/reasoning_training.py index 892976e9..b7323be5 100644 --- a/src/surreal_memory/server/routes/reasoning_training.py +++ b/src/surreal_memory/server/routes/reasoning_training.py @@ -27,6 +27,14 @@ from surreal_memory.core.brain import Brain from surreal_memory.engine.reasoning_miner import _MODELS_WITHOUT_THINKING, normalize_model +from surreal_memory.engine.reasoning_progress import ( + PHASE_DISTILLING, + PHASE_DONE, + PHASE_IDLE, + PHASE_INGESTING, + PHASE_SCANNING, + MiningProgress, +) from surreal_memory.server.dependencies import get_brain, get_storage, require_local_request from surreal_memory.server.models import ErrorResponse from surreal_memory.storage.base import NeuralStorage @@ -42,7 +50,7 @@ # Pattern fibers are idempotent by _reasoning_signature (bounded population); # matches the distiller / injection fetch ceiling. -_PATTERN_FETCH_LIMIT = 5000 +_PATTERN_FETCH_LIMIT = 20_000 _MAX_PAGE = 100 # Model names / injection globs: letters, digits, dot, underscore, dash, glob chars. _MODEL_NAME_RE = re.compile(r"^[A-Za-z0-9._*?-]{1,128}$") @@ -60,8 +68,16 @@ def _idle_mining_state() -> dict[str, Any]: "running": False, "started_at": None, "finished_at": None, + "phase": PHASE_IDLE, + "files_total": 0, + "files_scanned": 0, + "traces_found": 0, "traces_ingested": 0, + "traces_processed": 0, "patterns_learned": 0, + "current_model": None, + "models_done": 0, + "models_total": 0, "dry_run": False, "error": None, } @@ -96,8 +112,16 @@ class MiningJobState(BaseModel): running: bool started_at: str | None = None finished_at: str | None = None + phase: str = PHASE_IDLE + files_total: int = 0 + files_scanned: int = 0 + traces_found: int = 0 traces_ingested: int = 0 + traces_processed: int = 0 patterns_learned: int = 0 + current_model: str | None = None + models_done: int = 0 + models_total: int = 0 dry_run: bool = False error: str | None = None @@ -123,15 +147,18 @@ class ReasoningConfigUpdate(BaseModel): mining_models: list[str] | None = None injection_map: dict[str, str] | None = None categories: list[str] | None = None + min_trace_chars: int | None = Field(None, ge=0, le=1_000_000) + max_trace_chars: int | None = Field(None, ge=1, le=10_000_000) scan_lookback_days: int | None = Field(None, ge=0, le=100_000) retention_days: int | None = Field(None, ge=1, le=100_000) max_traces_total: int | None = Field(None, ge=1, le=10_000_000) min_cluster_support: int | None = Field(None, ge=1, le=100_000) - max_patterns_per_run: int | None = Field(None, ge=1, le=100_000) min_confidence: float | None = Field(None, ge=0.0, le=1.0) min_patterns_per_category: int | None = Field(None, ge=1, le=100_000) injection_max_patterns: int | None = Field(None, ge=1, le=1000) injection_max_chars: int | None = Field(None, ge=1, le=1_000_000) + # Per-model distillation targets (model -> 0..100). Validated in update_config. + pattern_targets: dict[str, int] | None = None class MineRequest(BaseModel): @@ -382,12 +409,32 @@ async def update_config(body: ReasoningConfigUpdate) -> dict[str, Any]: raise HTTPException(status_code=422, detail="categories cannot be empty") changes["categories"] = deduped + if body.pattern_targets is not None: + targets: dict[str, int] = {} + for model, count in body.pattern_targets.items(): + name = _validate_model_name(model, field="pattern_targets") + # A target model must actually produce thinking text to be distillable. + if not _has_thinking(name): + raise HTTPException( + status_code=422, + detail=f"Model {name!r} has no thinking text and cannot be a pattern target", + ) + try: + targets[name] = max(0, min(int(count), 100)) + except (ValueError, TypeError): + raise HTTPException( + status_code=422, + detail=f"pattern_targets[{name!r}] must be an integer 0-100", + ) from None + changes["pattern_targets"] = targets + for field_name in ( + "min_trace_chars", + "max_trace_chars", "scan_lookback_days", "retention_days", "max_traces_total", "min_cluster_support", - "max_patterns_per_run", "min_confidence", "min_patterns_per_category", "injection_max_patterns", @@ -427,7 +474,7 @@ async def _run_mining( try: if dry_run: # Parity with consolidation dry_run: no scanning, no writes. - state.update(traces_ingested=0, patterns_learned=0) + state.update(phase=PHASE_DONE, traces_ingested=0, patterns_learned=0) return config = get_config() @@ -439,16 +486,68 @@ async def _run_mining( overrides["mining_models"] = tuple(models) run_config = dc_replace(config, reasoning_training=dc_replace(rt, **overrides)) + def _on_progress(p: MiningProgress) -> None: + # Merge per phase so distill snapshots (which don't know file counts) + # don't zero out the ingest phase's file/trace counters. + updates: dict[str, Any] = {"phase": p.phase} + if p.phase in (PHASE_SCANNING, PHASE_INGESTING): + updates.update( + files_total=p.files_total, + files_scanned=p.files_scanned, + traces_found=p.traces_found, + traces_ingested=p.traces_ingested, + ) + elif p.phase == PHASE_DISTILLING: + updates.update( + traces_processed=p.traces_processed, + patterns_learned=p.patterns_learned, + current_model=p.current_model, + models_done=p.models_done, + models_total=p.models_total, + ) + state.update(updates) + storage = await create_isolated_storage(brain_id) # We own the isolated SurrealDB instance and must close it; SQLite / in-memory # return the shared instance, which must NOT be closed out from under others. owns_storage = config.storage_backend == "surrealdb" try: - ingest = await ingest_reasoning_traces(storage, brain_id, run_config) - distill = await distill_reasoning_patterns(storage, brain_id, run_config) + logger.info("reasoning mining started for brain %s (backfill=%s)", brain_id, backfill) + state["phase"] = PHASE_SCANNING + ingest = await ingest_reasoning_traces( + storage, brain_id, run_config, backfill=backfill, progress=_on_progress + ) + logger.info( + "reasoning ingest done for brain %s: %d/%d files, %d traces (%d new)", + brain_id, + ingest.files_scanned, + ingest.files_total, + ingest.traces_scanned, + ingest.traces_ingested, + ) state.update( + phase=PHASE_DISTILLING, + files_total=ingest.files_total, + files_scanned=ingest.files_scanned, + traces_found=ingest.traces_scanned, traces_ingested=ingest.traces_ingested, + ) + distill = await distill_reasoning_patterns( + storage, brain_id, run_config, drain=True, progress=_on_progress + ) + state.update( + phase=PHASE_DONE, + traces_ingested=ingest.traces_ingested, + traces_processed=distill.traces_processed, patterns_learned=distill.patterns_learned, + models_done=distill.models_seen, + models_total=distill.models_seen, + ) + logger.info( + "reasoning mining done for brain %s: %d patterns from %d traces processed", + brain_id, + distill.patterns_learned, + distill.traces_processed, ) finally: if owns_storage: diff --git a/src/surreal_memory/server/static/dist/assets/DiagramsPage-ClJ9QIg8.js b/src/surreal_memory/server/static/dist/assets/DiagramsPage-DO04XJem.js similarity index 99% rename from src/surreal_memory/server/static/dist/assets/DiagramsPage-ClJ9QIg8.js rename to src/surreal_memory/server/static/dist/assets/DiagramsPage-DO04XJem.js index a4bfb40d..7db9f491 100644 --- a/src/surreal_memory/server/static/dist/assets/DiagramsPage-ClJ9QIg8.js +++ b/src/surreal_memory/server/static/dist/assets/DiagramsPage-DO04XJem.js @@ -1,4 +1,4 @@ -import{j as R}from"./vendor-query-CqA1cBNl.js";import{d as hs,r as Z,b as gs}from"./vendor-react-BfuodpLv.js";import{m as ps,n as ms,f as ys,B as xs}from"./index-DXL5wCpD.js";import{C as Ht,a as Dn,b as Ln,c as Vt}from"./card-Duzfr-hx.js";import{S as jn}from"./skeleton-CBW-y0cP.js";import{d as cn,T as ws,t as vs,n as bs}from"./timer-DWAvo6M8.js";import{i as Es,h as $n,j as zn,k as _s,l as Ns,m as Ss,n as yt,o as Bt,u as 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Expecting an object but got "${t}"`);if(i=""+i,t=t||{},n._nodes.has(i))throw new I(`Graph.addNode: the "${i}" node already exist in the graph.`);const e=new n.NodeDataClass(i,t);return n._nodes.set(i,e),n.emit("nodeAdded",{key:i,attributes:t}),e}function $t(n,i,t){const e=new n.NodeDataClass(i,t);return n._nodes.set(i,e),n.emit("nodeAdded",{key:i,attributes:t}),e}function Ri(n,i,t,e,r,a,o,s){if(!e&&n.type==="undirected")throw new I(`Graph.${i}: you cannot add a directed edge to an undirected graph. Use the #.addEdge or #.addUndirectedEdge instead.`);if(e&&n.type==="directed")throw new I(`Graph.${i}: you cannot add an undirected edge to a directed graph. Use the #.addEdge or #.addDirectedEdge instead.`);if(s&&!J(s))throw new x(`Graph.${i}: invalid attributes. Expecting an object but got "${s}"`);if(a=""+a,o=""+o,s=s||{},!n.allowSelfLoops&&a===o)throw new I(`Graph.${i}: source & target are the same ("${a}"), thus creating a loop explicitly forbidden by this graph 'allowSelfLoops' option set to false.`);const u=n._nodes.get(a),h=n._nodes.get(o);if(!u)throw new k(`Graph.${i}: source node "${a}" not found.`);if(!h)throw new k(`Graph.${i}: target node "${o}" not found.`);const d={key:null,undirected:e,source:a,target:o,attributes:s};if(t)r=n._edgeKeyGenerator();else if(r=""+r,n._edges.has(r))throw new I(`Graph.${i}: the "${r}" edge already exists in the graph.`);if(!n.multi&&(e?typeof u.undirected[o]<"u":typeof u.out[o]<"u"))throw new I(`Graph.${i}: an edge linking "${a}" to "${o}" already exists. If you really want to add multiple edges linking those nodes, you should create a multi graph by using the 'multi' option.`);const l=new Ge(e,r,u,h,s);n._edges.set(r,l);const c=a===o;return e?(u.undirectedDegree++,h.undirectedDegree++,c&&(u.undirectedLoops++,n._undirectedSelfLoopCount++)):(u.outDegree++,h.inDegree++,c&&(u.directedLoops++,n._directedSelfLoopCount++)),n.multi?l.attachMulti():l.attach(),e?n._undirectedSize++:n._directedSize++,d.key=r,n.emit("edgeAdded",d),r}function fn(n,i,t,e,r,a,o,s,u){if(!e&&n.type==="undirected")throw new I(`Graph.${i}: you cannot merge/update a directed edge to an undirected graph. Use the #.mergeEdge/#.updateEdge or #.addUndirectedEdge instead.`);if(e&&n.type==="directed")throw new I(`Graph.${i}: you cannot merge/update an undirected edge to a directed graph. Use the #.mergeEdge/#.updateEdge or #.addDirectedEdge instead.`);if(s){if(u){if(typeof s!="function")throw new x(`Graph.${i}: invalid updater function. Expecting a function but got "${s}"`)}else if(!J(s))throw new x(`Graph.${i}: invalid attributes. Expecting an object but got "${s}"`)}a=""+a,o=""+o;let h;if(u&&(h=s,s=void 0),!n.allowSelfLoops&&a===o)throw new I(`Graph.${i}: source & target are the same ("${a}"), thus creating a loop explicitly forbidden by this graph 'allowSelfLoops' option set to false.`);let d=n._nodes.get(a),l=n._nodes.get(o),c,g;if(!t&&(c=n._edges.get(r),c)){if((c.source.key!==a||c.target.key!==o)&&(!e||c.source.key!==o||c.target.key!==a))throw new I(`Graph.${i}: inconsistency detected when attempting to merge the "${r}" edge with "${a}" source & "${o}" target vs. ("${c.source.key}", "${c.target.key}").`);g=c}if(!g&&!n.multi&&d&&(g=e?d.undirected[o]:d.out[o]),g){const T=[g.key,!1,!1,!1];if(u?!h:!s)return T;if(u){const A=g.attributes;g.attributes=h(A),n.emit("edgeAttributesUpdated",{type:"replace",key:g.key,attributes:g.attributes})}else Z(g.attributes,s),n.emit("edgeAttributesUpdated",{type:"merge",key:g.key,attributes:g.attributes,data:s});return T}s=s||{},u&&h&&(s=h(s));const b={key:null,undirected:e,source:a,target:o,attributes:s};if(t)r=n._edgeKeyGenerator();else if(r=""+r,n._edges.has(r))throw new I(`Graph.${i}: the "${r}" edge already exists in the graph.`);let w=!1,C=!1;d||(d=$t(n,a,{}),w=!0,a===o&&(l=d,C=!0)),l||(l=$t(n,o,{}),C=!0),c=new Ge(e,r,d,l,s),n._edges.set(r,c);const D=a===o;return e?(d.undirectedDegree++,l.undirectedDegree++,D&&(d.undirectedLoops++,n._undirectedSelfLoopCount++)):(d.outDegree++,l.inDegree++,D&&(d.directedLoops++,n._directedSelfLoopCount++)),n.multi?c.attachMulti():c.attach(),e?n._undirectedSize++:n._directedSize++,b.key=r,n.emit("edgeAdded",b),[r,!0,w,C]}function Ae(n,i){n._edges.delete(i.key);const{source:t,target:e,attributes:r}=i,a=i.undirected,o=t===e;a?(t.undirectedDegree--,e.undirectedDegree--,o&&(t.undirectedLoops--,n._undirectedSelfLoopCount--)):(t.outDegree--,e.inDegree--,o&&(t.directedLoops--,n._directedSelfLoopCount--)),n.multi?i.detachMulti():i.detach(),a?n._undirectedSize--:n._directedSize--,n.emit("edgeDropped",{key:i.key,attributes:r,source:t.key,target:e.key,undirected:a})}class W extends vi.EventEmitter{constructor(i){if(super(),i=Z({},ln,i),typeof i.multi!="boolean")throw new x(`Graph.constructor: invalid 'multi' option. Expecting a boolean but got "${i.multi}".`);if(!hn.has(i.type))throw new x(`Graph.constructor: invalid 'type' option. Should be one of "mixed", "directed" or "undirected" but got "${i.type}".`);if(typeof i.allowSelfLoops!="boolean")throw new x(`Graph.constructor: invalid 'allowSelfLoops' option. Expecting a boolean but got "${i.allowSelfLoops}".`);const t=i.type==="mixed"?bi:i.type==="directed"?wi:Ei;ae(this,"NodeDataClass",t);const e="geid_"+un()+"_";let r=0;const a=()=>{let o;do o=e+r++;while(this._edges.has(o));return o};ae(this,"_attributes",{}),ae(this,"_nodes",new Map),ae(this,"_edges",new Map),ae(this,"_directedSize",0),ae(this,"_undirectedSize",0),ae(this,"_directedSelfLoopCount",0),ae(this,"_undirectedSelfLoopCount",0),ae(this,"_edgeKeyGenerator",a),ae(this,"_options",i),zt.forEach(o=>ae(this,o,this[o])),he(this,"order",()=>this._nodes.size),he(this,"size",()=>this._edges.size),he(this,"directedSize",()=>this._directedSize),he(this,"undirectedSize",()=>this._undirectedSize),he(this,"selfLoopCount",()=>this._directedSelfLoopCount+this._undirectedSelfLoopCount),he(this,"directedSelfLoopCount",()=>this._directedSelfLoopCount),he(this,"undirectedSelfLoopCount",()=>this._undirectedSelfLoopCount),he(this,"multi",this._options.multi),he(this,"type",this._options.type),he(this,"allowSelfLoops",this._options.allowSelfLoops),he(this,"implementation",()=>"graphology")}_resetInstanceCounters(){this._directedSize=0,this._undirectedSize=0,this._directedSelfLoopCount=0,this._undirectedSelfLoopCount=0}hasNode(i){return this._nodes.has(""+i)}hasDirectedEdge(i,t){if(this.type==="undirected")return!1;if(arguments.length===1){const e=""+i,r=this._edges.get(e);return!!r&&!r.undirected}else if(arguments.length===2){i=""+i,t=""+t;const e=this._nodes.get(i);return e?e.out.hasOwnProperty(t):!1}throw new x(`Graph.hasDirectedEdge: invalid arity (${arguments.length}, instead of 1 or 2). You can either ask for an edge id or for the existence of an edge between a source & a target.`)}hasUndirectedEdge(i,t){if(this.type==="directed")return!1;if(arguments.length===1){const e=""+i,r=this._edges.get(e);return!!r&&r.undirected}else if(arguments.length===2){i=""+i,t=""+t;const e=this._nodes.get(i);return e?e.undirected.hasOwnProperty(t):!1}throw new x(`Graph.hasDirectedEdge: invalid arity (${arguments.length}, instead of 1 or 2). You can either ask for an edge id or for the existence of an edge between a source & a target.`)}hasEdge(i,t){if(arguments.length===1){const e=""+i;return this._edges.has(e)}else if(arguments.length===2){i=""+i,t=""+t;const e=this._nodes.get(i);return e?typeof e.out<"u"&&e.out.hasOwnProperty(t)||typeof e.undirected<"u"&&e.undirected.hasOwnProperty(t):!1}throw new x(`Graph.hasEdge: invalid arity (${arguments.length}, instead of 1 or 2). You can either ask for an edge id or for the existence of an edge between a source & a target.`)}directedEdge(i,t){if(this.type==="undirected")return;if(i=""+i,t=""+t,this.multi)throw new I("Graph.directedEdge: this method is irrelevant with multigraphs since there might be multiple edges between source & target. See #.directedEdges instead.");const e=this._nodes.get(i);if(!e)throw new k(`Graph.directedEdge: could not find the "${i}" source node in the graph.`);if(!this._nodes.has(t))throw new k(`Graph.directedEdge: could not find the "${t}" target node in the graph.`);const r=e.out&&e.out[t]||void 0;if(r)return r.key}undirectedEdge(i,t){if(this.type==="directed")return;if(i=""+i,t=""+t,this.multi)throw new I("Graph.undirectedEdge: this method is irrelevant with multigraphs since there might be multiple edges between source & target. See #.undirectedEdges instead.");const e=this._nodes.get(i);if(!e)throw new k(`Graph.undirectedEdge: could not find the "${i}" source node in the graph.`);if(!this._nodes.has(t))throw new k(`Graph.undirectedEdge: could not find the "${t}" target node in the graph.`);const r=e.undirected&&e.undirected[t]||void 0;if(r)return r.key}edge(i,t){if(this.multi)throw new I("Graph.edge: this method is irrelevant with multigraphs since there might be multiple edges between source & target. See #.edges instead.");i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.edge: could not find the "${i}" source node in the graph.`);if(!this._nodes.has(t))throw new k(`Graph.edge: could not find the "${t}" target node in the graph.`);const r=e.out&&e.out[t]||e.undirected&&e.undirected[t]||void 0;if(r)return r.key}areDirectedNeighbors(i,t){i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.areDirectedNeighbors: could not find the "${i}" node in the graph.`);return this.type==="undirected"?!1:t in e.in||t in e.out}areOutNeighbors(i,t){i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.areOutNeighbors: could not find the "${i}" node in the graph.`);return this.type==="undirected"?!1:t in e.out}areInNeighbors(i,t){i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.areInNeighbors: could not find the "${i}" node in the graph.`);return this.type==="undirected"?!1:t in e.in}areUndirectedNeighbors(i,t){i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.areUndirectedNeighbors: could not find the "${i}" node in the graph.`);return this.type==="directed"?!1:t in e.undirected}areNeighbors(i,t){i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.areNeighbors: could not find the "${i}" node in the graph.`);return this.type!=="undirected"&&(t in e.in||t in e.out)||this.type!=="directed"&&t in e.undirected}areInboundNeighbors(i,t){i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.areInboundNeighbors: could not find the "${i}" node in the graph.`);return this.type!=="undirected"&&t in e.in||this.type!=="directed"&&t in e.undirected}areOutboundNeighbors(i,t){i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.areOutboundNeighbors: could not find the "${i}" node in the graph.`);return this.type!=="undirected"&&t in e.out||this.type!=="directed"&&t in e.undirected}inDegree(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.inDegree: could not find the "${i}" node in the graph.`);return this.type==="undirected"?0:t.inDegree}outDegree(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.outDegree: could not find the "${i}" node in the graph.`);return this.type==="undirected"?0:t.outDegree}directedDegree(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.directedDegree: could not find the "${i}" node in the graph.`);return this.type==="undirected"?0:t.inDegree+t.outDegree}undirectedDegree(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.undirectedDegree: could not find the "${i}" node in the graph.`);return this.type==="directed"?0:t.undirectedDegree}inboundDegree(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.inboundDegree: could not find the "${i}" node in the graph.`);let e=0;return this.type!=="directed"&&(e+=t.undirectedDegree),this.type!=="undirected"&&(e+=t.inDegree),e}outboundDegree(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.outboundDegree: could not find the "${i}" node in the graph.`);let e=0;return this.type!=="directed"&&(e+=t.undirectedDegree),this.type!=="undirected"&&(e+=t.outDegree),e}degree(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.degree: could not find the "${i}" node in the graph.`);let e=0;return this.type!=="directed"&&(e+=t.undirectedDegree),this.type!=="undirected"&&(e+=t.inDegree+t.outDegree),e}inDegreeWithoutSelfLoops(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.inDegreeWithoutSelfLoops: could not find the "${i}" node in the graph.`);return this.type==="undirected"?0:t.inDegree-t.directedLoops}outDegreeWithoutSelfLoops(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.outDegreeWithoutSelfLoops: could not find the "${i}" node in the graph.`);return this.type==="undirected"?0:t.outDegree-t.directedLoops}directedDegreeWithoutSelfLoops(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.directedDegreeWithoutSelfLoops: could not find the "${i}" node in the graph.`);return this.type==="undirected"?0:t.inDegree+t.outDegree-t.directedLoops*2}undirectedDegreeWithoutSelfLoops(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.undirectedDegreeWithoutSelfLoops: could not find the "${i}" node in the graph.`);return this.type==="directed"?0:t.undirectedDegree-t.undirectedLoops*2}inboundDegreeWithoutSelfLoops(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.inboundDegreeWithoutSelfLoops: could not find the "${i}" node in the graph.`);let e=0,r=0;return this.type!=="directed"&&(e+=t.undirectedDegree,r+=t.undirectedLoops*2),this.type!=="undirected"&&(e+=t.inDegree,r+=t.directedLoops),e-r}outboundDegreeWithoutSelfLoops(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.outboundDegreeWithoutSelfLoops: could not find the "${i}" node in the graph.`);let e=0,r=0;return this.type!=="directed"&&(e+=t.undirectedDegree,r+=t.undirectedLoops*2),this.type!=="undirected"&&(e+=t.outDegree,r+=t.directedLoops),e-r}degreeWithoutSelfLoops(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.degreeWithoutSelfLoops: could not find the "${i}" node in the graph.`);let e=0,r=0;return this.type!=="directed"&&(e+=t.undirectedDegree,r+=t.undirectedLoops*2),this.type!=="undirected"&&(e+=t.inDegree+t.outDegree,r+=t.directedLoops*2),e-r}source(i){i=""+i;const t=this._edges.get(i);if(!t)throw new k(`Graph.source: could not find the "${i}" edge in the graph.`);return t.source.key}target(i){i=""+i;const t=this._edges.get(i);if(!t)throw new k(`Graph.target: could not find the "${i}" edge in the graph.`);return t.target.key}extremities(i){i=""+i;const t=this._edges.get(i);if(!t)throw new k(`Graph.extremities: could not find the "${i}" edge in the graph.`);return[t.source.key,t.target.key]}opposite(i,t){i=""+i,t=""+t;const e=this._edges.get(t);if(!e)throw new k(`Graph.opposite: could not find the "${t}" edge in the graph.`);const r=e.source.key,a=e.target.key;if(i===r)return a;if(i===a)return r;throw new k(`Graph.opposite: the "${i}" node is not attached to the "${t}" edge (${r}, ${a}).`)}hasExtremity(i,t){i=""+i,t=""+t;const e=this._edges.get(i);if(!e)throw new k(`Graph.hasExtremity: could not find the "${i}" edge in the graph.`);return e.source.key===t||e.target.key===t}isUndirected(i){i=""+i;const t=this._edges.get(i);if(!t)throw new k(`Graph.isUndirected: could not find the "${i}" edge in the graph.`);return t.undirected}isDirected(i){i=""+i;const t=this._edges.get(i);if(!t)throw new k(`Graph.isDirected: could not find the "${i}" edge in the graph.`);return!t.undirected}isSelfLoop(i){i=""+i;const t=this._edges.get(i);if(!t)throw new k(`Graph.isSelfLoop: could not find the "${i}" edge in the graph.`);return t.source===t.target}addNode(i,t){return cn(this,i,t).key}mergeNode(i,t){if(t&&!J(t))throw new x(`Graph.mergeNode: invalid attributes. Expecting an object but got "${t}"`);i=""+i,t=t||{};let e=this._nodes.get(i);return e?(t&&(Z(e.attributes,t),this.emit("nodeAttributesUpdated",{type:"merge",key:i,attributes:e.attributes,data:t})),[i,!1]):(e=new this.NodeDataClass(i,t),this._nodes.set(i,e),this.emit("nodeAdded",{key:i,attributes:t}),[i,!0])}updateNode(i,t){if(t&&typeof t!="function")throw new x(`Graph.updateNode: invalid updater function. Expecting a function but got "${t}"`);i=""+i;let e=this._nodes.get(i);if(e){if(t){const a=e.attributes;e.attributes=t(a),this.emit("nodeAttributesUpdated",{type:"replace",key:i,attributes:e.attributes})}return[i,!1]}const r=t?t({}):{};return e=new this.NodeDataClass(i,r),this._nodes.set(i,e),this.emit("nodeAdded",{key:i,attributes:r}),[i,!0]}dropNode(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.dropNode: could not find the "${i}" node in the graph.`);let e;if(this.type!=="undirected"){for(const r in t.out){e=t.out[r];do Ae(this,e),e=e.next;while(e)}for(const r in t.in){e=t.in[r];do Ae(this,e),e=e.next;while(e)}}if(this.type!=="directed")for(const r in t.undirected){e=t.undirected[r];do Ae(this,e),e=e.next;while(e)}this._nodes.delete(i),this.emit("nodeDropped",{key:i,attributes:t.attributes})}dropEdge(i){let t;if(arguments.length>1){const e=""+arguments[0],r=""+arguments[1];if(t=oe(this,e,r,this.type),!t)throw new k(`Graph.dropEdge: could not find the "${e}" -> "${r}" edge in the graph.`)}else if(i=""+i,t=this._edges.get(i),!t)throw new k(`Graph.dropEdge: could not find the "${i}" edge in the graph.`);return Ae(this,t),this}dropDirectedEdge(i,t){if(arguments.length<2)throw new I("Graph.dropDirectedEdge: it does not make sense to try and drop a directed edge by key. What if the edge with this key is undirected? Use #.dropEdge for this purpose instead.");if(this.multi)throw new I("Graph.dropDirectedEdge: cannot use a {source,target} combo when dropping an edge in a MultiGraph since we cannot infer the one you want to delete as there could be multiple ones.");i=""+i,t=""+t;const e=oe(this,i,t,"directed");if(!e)throw new k(`Graph.dropDirectedEdge: could not find a "${i}" -> "${t}" edge in the graph.`);return Ae(this,e),this}dropUndirectedEdge(i,t){if(arguments.length<2)throw new I("Graph.dropUndirectedEdge: it does not make sense to drop a directed edge by key. What if the edge with this key is undirected? Use #.dropEdge for this purpose instead.");if(this.multi)throw new I("Graph.dropUndirectedEdge: cannot use a {source,target} combo when dropping an edge in a MultiGraph since we cannot infer the one you want to delete as there could be multiple ones.");const e=oe(this,i,t,"undirected");if(!e)throw new k(`Graph.dropUndirectedEdge: could not find a "${i}" -> "${t}" edge in the graph.`);return Ae(this,e),this}clear(){this._edges.clear(),this._nodes.clear(),this._resetInstanceCounters(),this.emit("cleared")}clearEdges(){const i=this._nodes.values();let t;for(;t=i.next(),t.done!==!0;)t.value.clear();this._edges.clear(),this._resetInstanceCounters(),this.emit("edgesCleared")}getAttribute(i){return this._attributes[i]}getAttributes(){return this._attributes}hasAttribute(i){return this._attributes.hasOwnProperty(i)}setAttribute(i,t){return this._attributes[i]=t,this.emit("attributesUpdated",{type:"set",attributes:this._attributes,name:i}),this}updateAttribute(i,t){if(typeof t!="function")throw new x("Graph.updateAttribute: updater should be a function.");const e=this._attributes[i];return this._attributes[i]=t(e),this.emit("attributesUpdated",{type:"set",attributes:this._attributes,name:i}),this}removeAttribute(i){return delete this._attributes[i],this.emit("attributesUpdated",{type:"remove",attributes:this._attributes,name:i}),this}replaceAttributes(i){if(!J(i))throw new x("Graph.replaceAttributes: provided attributes are not a plain object.");return this._attributes=i,this.emit("attributesUpdated",{type:"replace",attributes:this._attributes}),this}mergeAttributes(i){if(!J(i))throw new x("Graph.mergeAttributes: provided attributes are not a plain object.");return Z(this._attributes,i),this.emit("attributesUpdated",{type:"merge",attributes:this._attributes,data:i}),this}updateAttributes(i){if(typeof i!="function")throw new x("Graph.updateAttributes: provided updater is not a function.");return this._attributes=i(this._attributes),this.emit("attributesUpdated",{type:"update",attributes:this._attributes}),this}updateEachNodeAttributes(i,t){if(typeof i!="function")throw new x("Graph.updateEachNodeAttributes: expecting an updater function.");if(t&&!Ut(t))throw new x("Graph.updateEachNodeAttributes: invalid hints. Expecting an object having the following shape: {attributes?: [string]}");const e=this._nodes.values();let r,a;for(;r=e.next(),r.done!==!0;)a=r.value,a.attributes=i(a.key,a.attributes);this.emit("eachNodeAttributesUpdated",{hints:t||null})}updateEachEdgeAttributes(i,t){if(typeof i!="function")throw new x("Graph.updateEachEdgeAttributes: expecting an updater function.");if(t&&!Ut(t))throw new x("Graph.updateEachEdgeAttributes: invalid hints. 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You must provide it because the callback takes more than one argument and we cannot infer the initial value from the first iteration, as you could with a simple array.");let e=t;const r=this._nodes.values();let a,o;for(;a=r.next(),a.done!==!0;)o=a.value,e=i(e,o.key,o.attributes);return e}nodeEntries(){const i=this._nodes.values();return{[Symbol.iterator](){return this},next(){const t=i.next();if(t.done)return t;const e=t.value;return{value:{node:e.key,attributes:e.attributes},done:!1}}}}export(){const i=new Array(this._nodes.size);let t=0;this._nodes.forEach((r,a)=>{i[t++]=nn(a,r)});const e=new Array(this._edges.size);return t=0,this._edges.forEach((r,a)=>{e[t++]=an(this.type,a,r)}),{options:{type:this.type,multi:this.multi,allowSelfLoops:this.allowSelfLoops},attributes:this.getAttributes(),nodes:i,edges:e}}import(i,t=!1){if(i instanceof W)return i.forEachNode((u,h)=>{t?this.mergeNode(u,h):this.addNode(u,h)}),i.forEachEdge((u,h,d,l,c,g,b)=>{t?b?this.mergeUndirectedEdgeWithKey(u,d,l,h):this.mergeDirectedEdgeWithKey(u,d,l,h):b?this.addUndirectedEdgeWithKey(u,d,l,h):this.addDirectedEdgeWithKey(u,d,l,h)}),this;if(!J(i))throw new x("Graph.import: invalid argument. Expecting a serialized graph or, alternatively, a Graph instance.");if(i.attributes){if(!J(i.attributes))throw new x("Graph.import: invalid attributes. Expecting a plain object.");t?this.mergeAttributes(i.attributes):this.replaceAttributes(i.attributes)}let e,r,a,o,s;if(i.nodes){if(a=i.nodes,!Array.isArray(a))throw new x("Graph.import: invalid nodes. 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G=="function"?_?[G.listener||G]:[G]:_?C(G):b(G,G.length)}a.prototype.listeners=function(v){return c(this,v,!0)},a.prototype.rawListeners=function(v){return c(this,v,!1)},a.listenerCount=function(m,v){return typeof m.listenerCount=="function"?m.listenerCount(v):g.call(m,v)},a.prototype.listenerCount=g;function g(m){var v=this._events;if(v!==void 0){var _=v[m];if(typeof _=="function")return 1;if(_!==void 0)return _.length}return 0}a.prototype.eventNames=function(){return this._eventsCount>0?t(this._events):[]};function b(m,v){for(var _=new Array(v),S=0;Sn++}function me(){const n=arguments;let i=null,t=-1;return{[Symbol.iterator](){return this},next(){let e=null;do{if(i===null){if(t++,t>=n.length)return{done:!0};i=n[t][Symbol.iterator]()}if(e=i.next(),e.done){i=null;continue}break}while(!0);return e}}}function Le(){return{[Symbol.iterator](){return this},next(){return{done:!0}}}}class kt extends Error{constructor(i){super(),this.name="GraphError",this.message=i}}class x extends kt{constructor(i){super(i),this.name="InvalidArgumentsGraphError",typeof Error.captureStackTrace=="function"&&Error.captureStackTrace(this,x.prototype.constructor)}}class k extends kt{constructor(i){super(i),this.name="NotFoundGraphError",typeof Error.captureStackTrace=="function"&&Error.captureStackTrace(this,k.prototype.constructor)}}class I extends kt{constructor(i){super(i),this.name="UsageGraphError",typeof Error.captureStackTrace=="function"&&Error.captureStackTrace(this,I.prototype.constructor)}}function bi(n,i){this.key=n,this.attributes=i,this.clear()}bi.prototype.clear=function(){this.inDegree=0,this.outDegree=0,this.undirectedDegree=0,this.undirectedLoops=0,this.directedLoops=0,this.in={},this.out={},this.undirected={}};function wi(n,i){this.key=n,this.attributes=i,this.clear()}wi.prototype.clear=function(){this.inDegree=0,this.outDegree=0,this.directedLoops=0,this.in={},this.out={}};function Ei(n,i){this.key=n,this.attributes=i,this.clear()}Ei.prototype.clear=function(){this.undirectedDegree=0,this.undirectedLoops=0,this.undirected={}};function Ge(n,i,t,e,r){this.key=i,this.attributes=r,this.undirected=n,this.source=t,this.target=e}Ge.prototype.attach=function(){let n="out",i="in";this.undirected&&(n=i="undirected");const t=this.source.key,e=this.target.key;this.source[n][e]=this,!(this.undirected&&t===e)&&(this.target[i][t]=this)};Ge.prototype.attachMulti=function(){let n="out",i="in";const t=this.source.key,e=this.target.key;this.undirected&&(n=i="undirected");const r=this.source[n],a=r[e];if(typeof a>"u"){r[e]=this,this.undirected&&t===e||(this.target[i][t]=this);return}a.previous=this,this.next=a,r[e]=this,this.target[i][t]=this};Ge.prototype.detach=function(){const n=this.source.key,i=this.target.key;let t="out",e="in";this.undirected&&(t=e="undirected"),delete this.source[t][i],delete this.target[e][n]};Ge.prototype.detachMulti=function(){const n=this.source.key,i=this.target.key;let t="out",e="in";this.undirected&&(t=e="undirected"),this.previous===void 0?this.next===void 0?(delete this.source[t][i],delete this.target[e][n]):(this.next.previous=void 0,this.source[t][i]=this.next,this.target[e][n]=this.next):(this.previous.next=this.next,this.next!==void 0&&(this.next.previous=this.previous))};const _i=0,Ti=1,dr=2,Si=3;function ve(n,i,t,e,r,a,o){let s,u,h,d;if(e=""+e,t===_i){if(s=n._nodes.get(e),!s)throw new k(`Graph.${i}: could not find the "${e}" node in the graph.`);h=r,d=a}else if(t===Si){if(r=""+r,u=n._edges.get(r),!u)throw new k(`Graph.${i}: could not find the "${r}" edge in the graph.`);const l=u.source.key,c=u.target.key;if(e===l)s=u.target;else if(e===c)s=u.source;else throw new k(`Graph.${i}: the "${e}" node is not attached to the "${r}" edge (${l}, ${c}).`);h=a,d=o}else{if(u=n._edges.get(e),!u)throw new k(`Graph.${i}: could not find the "${e}" edge in the 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wr=[{name:n=>`get${n}Attribute`,attacher:lr},{name:n=>`get${n}Attributes`,attacher:cr},{name:n=>`has${n}Attribute`,attacher:fr},{name:n=>`set${n}Attribute`,attacher:gr},{name:n=>`update${n}Attribute`,attacher:pr},{name:n=>`remove${n}Attribute`,attacher:mr},{name:n=>`replace${n}Attributes`,attacher:vr},{name:n=>`merge${n}Attributes`,attacher:yr},{name:n=>`update${n}Attributes`,attacher:br}];function Er(n){wr.forEach(function({name:i,attacher:t}){t(n,i("Node"),_i),t(n,i("Source"),Ti),t(n,i("Target"),dr),t(n,i("Opposite"),Si)})}function _r(n,i,t){n.prototype[i]=function(e,r){let a;if(this.type!=="mixed"&&t!=="mixed"&&t!==this.type)throw new I(`Graph.${i}: cannot find this type of edges in your ${this.type} graph.`);if(arguments.length>2){if(this.multi)throw new I(`Graph.${i}: cannot use a {source,target} combo when asking about an edge's attributes in a MultiGraph since we cannot infer the one you want information about.`);const o=""+e,s=""+r;if(r=arguments[2],a=oe(this,o,s,t),!a)throw new k(`Graph.${i}: could not find an edge for the given path ("${o}" - "${s}").`)}else{if(t!=="mixed")throw new I(`Graph.${i}: calling this method with only a key (vs. a source and target) does not make sense since an edge with this key could have the other type.`);if(e=""+e,a=this._edges.get(e),!a)throw new k(`Graph.${i}: could not find the "${e}" edge in the graph.`)}return a.attributes[r]}}function Tr(n,i,t){n.prototype[i]=function(e){let r;if(this.type!=="mixed"&&t!=="mixed"&&t!==this.type)throw new I(`Graph.${i}: cannot find this type of edges in your ${this.type} graph.`);if(arguments.length>1){if(this.multi)throw new I(`Graph.${i}: cannot use a {source,target} combo when asking about an edge's attributes in a MultiGraph since we cannot infer the one you want information about.`);const a=""+e,o=""+arguments[1];if(r=oe(this,a,o,t),!r)throw new k(`Graph.${i}: could not find an edge for the given path ("${a}" - "${o}").`)}else{if(t!=="mixed")throw new I(`Graph.${i}: calling this 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s=t[e[a++]],u=s.source,h=s.target;if(o=u===i?h:u,n&&n.has(o.key)){o=null;continue}}while(o===null);return{done:!1,value:{neighbor:o.key,attributes:o.attributes}}}}}function Xr(n,i,t){if(n!=="mixed"){if(n==="undirected")return Ue(null,t,t.undirected);if(typeof i=="string")return Ue(null,t,t[i])}let e=Le();const r=new ot;return n!=="undirected"&&(i!=="out"&&(e=me(e,Ue(r,t,t.in))),i!=="in"&&(e=me(e,Ue(r,t,t.out)))),n!=="directed"&&(e=me(e,Ue(r,t,t.undirected))),e}function Jr(n,i){const{name:t,type:e,direction:r}=i;n.prototype[t]=function(a){if(e!=="mixed"&&this.type!=="mixed"&&e!==this.type)return[];a=""+a;const o=this._nodes.get(a);if(typeof o>"u")throw new k(`Graph.${t}: could not find the "${a}" node in the graph.`);return Zr(e==="mixed"?this.type:e,r,o)}}function Qr(n,i){const{name:t,type:e,direction:r}=i,a="forEach"+t[0].toUpperCase()+t.slice(1,-1);n.prototype[a]=function(h,d){if(e!=="mixed"&&this.type!=="mixed"&&e!==this.type)return;h=""+h;const l=this._nodes.get(h);if(typeof l>"u")throw new k(`Graph.${a}: could not find the "${h}" node in the graph.`);Lt(!1,e==="mixed"?this.type:e,r,l,d)};const o="map"+t[0].toUpperCase()+t.slice(1);n.prototype[o]=function(h,d){const l=[];return this[a](h,(c,g)=>{l.push(d(c,g))}),l};const s="filter"+t[0].toUpperCase()+t.slice(1);n.prototype[s]=function(h,d){const l=[];return this[a](h,(c,g)=>{d(c,g)&&l.push(c)}),l};const u="reduce"+t[0].toUpperCase()+t.slice(1);n.prototype[u]=function(h,d,l){if(arguments.length<3)throw new x(`Graph.${u}: missing initial value. You must provide it because the callback takes more than one argument and we cannot infer the initial value from the first iteration, as you could with a simple array.`);let c=l;return this[a](h,(g,b)=>{c=d(c,g,b)}),c}}function en(n,i){const{name:t,type:e,direction:r}=i,a=t[0].toUpperCase()+t.slice(1,-1),o="find"+a;n.prototype[o]=function(h,d){if(e!=="mixed"&&this.type!=="mixed"&&e!==this.type)return;h=""+h;const l=this._nodes.get(h);if(typeof l>"u")throw new k(`Graph.${o}: could not find the "${h}" node in the graph.`);return Lt(!0,e==="mixed"?this.type:e,r,l,d)};const s="some"+a;n.prototype[s]=function(h,d){return!!this[o](h,d)};const u="every"+a;n.prototype[u]=function(h,d){return!this[o](h,(c,g)=>!d(c,g))}}function tn(n,i){const{name:t,type:e,direction:r}=i,a=t.slice(0,-1)+"Entries";n.prototype[a]=function(o){if(e!=="mixed"&&this.type!=="mixed"&&e!==this.type)return Le();o=""+o;const s=this._nodes.get(o);if(typeof s>"u")throw new k(`Graph.${a}: could not find the "${o}" node in the graph.`);return Xr(e==="mixed"?this.type:e,r,s)}}function rn(n){Yr.forEach(i=>{Jr(n,i),Qr(n,i),en(n,i),tn(n,i)})}function et(n,i,t,e,r){const a=e._nodes.values(),o=e.type;let s,u,h,d,l,c;for(;s=a.next(),s.done!==!0;){let g=!1;if(u=s.value,o!=="undirected"){d=u.out;for(h in d){l=d[h];do c=l.target,g=!0,r(u.key,c.key,u.attributes,c.attributes,l.key,l.attributes,l.undirected),l=l.next;while(l)}}if(o!=="directed"){d=u.undirected;for(h in d)if(!(i&&u.key>h)){l=d[h];do c=l.target,c.key!==h&&(c=l.source),g=!0,r(u.key,c.key,u.attributes,c.attributes,l.key,l.attributes,l.undirected),l=l.next;while(l)}}t&&!g&&r(u.key,null,u.attributes,null,null,null,null)}}function nn(n,i){const t={key:n};return yi(i.attributes)||(t.attributes=Z({},i.attributes)),t}function an(n,i,t){const e={key:i,source:t.source.key,target:t.target.key};return yi(t.attributes)||(e.attributes=Z({},t.attributes)),n==="mixed"&&t.undirected&&(e.undirected=!0),e}function on(n){if(!J(n))throw new x('Graph.import: invalid serialized node. A serialized node should be a plain object with at least a "key" property.');if(!("key"in n))throw new x("Graph.import: serialized node is missing its key.");if("attributes"in n&&(!J(n.attributes)||n.attributes===null))throw new x("Graph.import: invalid attributes. Attributes should be a plain object, null or omitted.")}function sn(n){if(!J(n))throw new x('Graph.import: invalid serialized edge. A serialized edge should be a plain object with at least a "source" & "target" property.');if(!("source"in n))throw new x("Graph.import: serialized edge is missing its source.");if(!("target"in n))throw new x("Graph.import: serialized edge is missing its target.");if("attributes"in n&&(!J(n.attributes)||n.attributes===null))throw new x("Graph.import: invalid attributes. Attributes should be a plain object, null or omitted.");if("undirected"in n&&typeof n.undirected!="boolean")throw new x("Graph.import: invalid undirectedness information. Undirected should be boolean or omitted.")}const un=hr(),hn=new Set(["directed","undirected","mixed"]),zt=new Set(["domain","_events","_eventsCount","_maxListeners"]),dn=[{name:n=>`${n}Edge`,generateKey:!0},{name:n=>`${n}DirectedEdge`,generateKey:!0,type:"directed"},{name:n=>`${n}UndirectedEdge`,generateKey:!0,type:"undirected"},{name:n=>`${n}EdgeWithKey`},{name:n=>`${n}DirectedEdgeWithKey`,type:"directed"},{name:n=>`${n}UndirectedEdgeWithKey`,type:"undirected"}],ln={allowSelfLoops:!0,multi:!1,type:"mixed"};function cn(n,i,t){if(t&&!J(t))throw new x(`Graph.addNode: invalid attributes. Expecting an object but got "${t}"`);if(i=""+i,t=t||{},n._nodes.has(i))throw new I(`Graph.addNode: the "${i}" node already exist in the graph.`);const e=new n.NodeDataClass(i,t);return n._nodes.set(i,e),n.emit("nodeAdded",{key:i,attributes:t}),e}function $t(n,i,t){const e=new n.NodeDataClass(i,t);return n._nodes.set(i,e),n.emit("nodeAdded",{key:i,attributes:t}),e}function Ri(n,i,t,e,r,a,o,s){if(!e&&n.type==="undirected")throw new I(`Graph.${i}: you cannot add a directed edge to an undirected graph. Use the #.addEdge or #.addUndirectedEdge instead.`);if(e&&n.type==="directed")throw new I(`Graph.${i}: you cannot add an undirected edge to a directed graph. Use the #.addEdge or #.addDirectedEdge instead.`);if(s&&!J(s))throw new x(`Graph.${i}: invalid attributes. Expecting an object but got "${s}"`);if(a=""+a,o=""+o,s=s||{},!n.allowSelfLoops&&a===o)throw new I(`Graph.${i}: source & target are the same ("${a}"), thus creating a loop explicitly forbidden by this graph 'allowSelfLoops' option set to false.`);const u=n._nodes.get(a),h=n._nodes.get(o);if(!u)throw new k(`Graph.${i}: source node "${a}" not found.`);if(!h)throw new k(`Graph.${i}: target node "${o}" not found.`);const d={key:null,undirected:e,source:a,target:o,attributes:s};if(t)r=n._edgeKeyGenerator();else if(r=""+r,n._edges.has(r))throw new I(`Graph.${i}: the "${r}" edge already exists in the graph.`);if(!n.multi&&(e?typeof u.undirected[o]<"u":typeof u.out[o]<"u"))throw new I(`Graph.${i}: an edge linking "${a}" to "${o}" already exists. If you really want to add multiple edges linking those nodes, you should create a multi graph by using the 'multi' option.`);const l=new Ge(e,r,u,h,s);n._edges.set(r,l);const c=a===o;return e?(u.undirectedDegree++,h.undirectedDegree++,c&&(u.undirectedLoops++,n._undirectedSelfLoopCount++)):(u.outDegree++,h.inDegree++,c&&(u.directedLoops++,n._directedSelfLoopCount++)),n.multi?l.attachMulti():l.attach(),e?n._undirectedSize++:n._directedSize++,d.key=r,n.emit("edgeAdded",d),r}function fn(n,i,t,e,r,a,o,s,u){if(!e&&n.type==="undirected")throw new I(`Graph.${i}: you cannot merge/update a directed edge to an undirected graph. Use the #.mergeEdge/#.updateEdge or #.addUndirectedEdge instead.`);if(e&&n.type==="directed")throw new I(`Graph.${i}: you cannot merge/update an undirected edge to a directed graph. Use the #.mergeEdge/#.updateEdge or #.addDirectedEdge instead.`);if(s){if(u){if(typeof s!="function")throw new x(`Graph.${i}: invalid updater function. Expecting a function but got "${s}"`)}else if(!J(s))throw new x(`Graph.${i}: invalid attributes. Expecting an object but got "${s}"`)}a=""+a,o=""+o;let h;if(u&&(h=s,s=void 0),!n.allowSelfLoops&&a===o)throw new I(`Graph.${i}: source & target are the same ("${a}"), thus creating a loop explicitly forbidden by this graph 'allowSelfLoops' option set to false.`);let d=n._nodes.get(a),l=n._nodes.get(o),c,g;if(!t&&(c=n._edges.get(r),c)){if((c.source.key!==a||c.target.key!==o)&&(!e||c.source.key!==o||c.target.key!==a))throw new I(`Graph.${i}: inconsistency detected when attempting to merge the "${r}" edge with "${a}" source & "${o}" target vs. ("${c.source.key}", "${c.target.key}").`);g=c}if(!g&&!n.multi&&d&&(g=e?d.undirected[o]:d.out[o]),g){const T=[g.key,!1,!1,!1];if(u?!h:!s)return T;if(u){const A=g.attributes;g.attributes=h(A),n.emit("edgeAttributesUpdated",{type:"replace",key:g.key,attributes:g.attributes})}else Z(g.attributes,s),n.emit("edgeAttributesUpdated",{type:"merge",key:g.key,attributes:g.attributes,data:s});return T}s=s||{},u&&h&&(s=h(s));const b={key:null,undirected:e,source:a,target:o,attributes:s};if(t)r=n._edgeKeyGenerator();else if(r=""+r,n._edges.has(r))throw new I(`Graph.${i}: the "${r}" edge already exists in the graph.`);let w=!1,C=!1;d||(d=$t(n,a,{}),w=!0,a===o&&(l=d,C=!0)),l||(l=$t(n,o,{}),C=!0),c=new Ge(e,r,d,l,s),n._edges.set(r,c);const D=a===o;return e?(d.undirectedDegree++,l.undirectedDegree++,D&&(d.undirectedLoops++,n._undirectedSelfLoopCount++)):(d.outDegree++,l.inDegree++,D&&(d.directedLoops++,n._directedSelfLoopCount++)),n.multi?c.attachMulti():c.attach(),e?n._undirectedSize++:n._directedSize++,b.key=r,n.emit("edgeAdded",b),[r,!0,w,C]}function Ae(n,i){n._edges.delete(i.key);const{source:t,target:e,attributes:r}=i,a=i.undirected,o=t===e;a?(t.undirectedDegree--,e.undirectedDegree--,o&&(t.undirectedLoops--,n._undirectedSelfLoopCount--)):(t.outDegree--,e.inDegree--,o&&(t.directedLoops--,n._directedSelfLoopCount--)),n.multi?i.detachMulti():i.detach(),a?n._undirectedSize--:n._directedSize--,n.emit("edgeDropped",{key:i.key,attributes:r,source:t.key,target:e.key,undirected:a})}class W extends vi.EventEmitter{constructor(i){if(super(),i=Z({},ln,i),typeof i.multi!="boolean")throw new x(`Graph.constructor: invalid 'multi' option. Expecting a boolean but got "${i.multi}".`);if(!hn.has(i.type))throw new x(`Graph.constructor: invalid 'type' option. Should be one of "mixed", "directed" or "undirected" but got "${i.type}".`);if(typeof i.allowSelfLoops!="boolean")throw new x(`Graph.constructor: invalid 'allowSelfLoops' option. Expecting a boolean but got "${i.allowSelfLoops}".`);const t=i.type==="mixed"?bi:i.type==="directed"?wi:Ei;ae(this,"NodeDataClass",t);const e="geid_"+un()+"_";let r=0;const a=()=>{let o;do o=e+r++;while(this._edges.has(o));return o};ae(this,"_attributes",{}),ae(this,"_nodes",new Map),ae(this,"_edges",new Map),ae(this,"_directedSize",0),ae(this,"_undirectedSize",0),ae(this,"_directedSelfLoopCount",0),ae(this,"_undirectedSelfLoopCount",0),ae(this,"_edgeKeyGenerator",a),ae(this,"_options",i),zt.forEach(o=>ae(this,o,this[o])),he(this,"order",()=>this._nodes.size),he(this,"size",()=>this._edges.size),he(this,"directedSize",()=>this._directedSize),he(this,"undirectedSize",()=>this._undirectedSize),he(this,"selfLoopCount",()=>this._directedSelfLoopCount+this._undirectedSelfLoopCount),he(this,"directedSelfLoopCount",()=>this._directedSelfLoopCount),he(this,"undirectedSelfLoopCount",()=>this._undirectedSelfLoopCount),he(this,"multi",this._options.multi),he(this,"type",this._options.type),he(this,"allowSelfLoops",this._options.allowSelfLoops),he(this,"implementation",()=>"graphology")}_resetInstanceCounters(){this._directedSize=0,this._undirectedSize=0,this._directedSelfLoopCount=0,this._undirectedSelfLoopCount=0}hasNode(i){return this._nodes.has(""+i)}hasDirectedEdge(i,t){if(this.type==="undirected")return!1;if(arguments.length===1){const e=""+i,r=this._edges.get(e);return!!r&&!r.undirected}else if(arguments.length===2){i=""+i,t=""+t;const e=this._nodes.get(i);return e?e.out.hasOwnProperty(t):!1}throw new x(`Graph.hasDirectedEdge: invalid arity (${arguments.length}, instead of 1 or 2). You can either ask for an edge id or for the existence of an edge between a source & a target.`)}hasUndirectedEdge(i,t){if(this.type==="directed")return!1;if(arguments.length===1){const e=""+i,r=this._edges.get(e);return!!r&&r.undirected}else if(arguments.length===2){i=""+i,t=""+t;const e=this._nodes.get(i);return e?e.undirected.hasOwnProperty(t):!1}throw new x(`Graph.hasDirectedEdge: invalid arity (${arguments.length}, instead of 1 or 2). You can either ask for an edge id or for the existence of an edge between a source & a target.`)}hasEdge(i,t){if(arguments.length===1){const e=""+i;return this._edges.has(e)}else if(arguments.length===2){i=""+i,t=""+t;const e=this._nodes.get(i);return e?typeof e.out<"u"&&e.out.hasOwnProperty(t)||typeof e.undirected<"u"&&e.undirected.hasOwnProperty(t):!1}throw new x(`Graph.hasEdge: invalid arity (${arguments.length}, instead of 1 or 2). You can either ask for an edge id or for the existence of an edge between a source & a target.`)}directedEdge(i,t){if(this.type==="undirected")return;if(i=""+i,t=""+t,this.multi)throw new I("Graph.directedEdge: this method is irrelevant with multigraphs since there might be multiple edges between source & target. See #.directedEdges instead.");const e=this._nodes.get(i);if(!e)throw new k(`Graph.directedEdge: could not find the "${i}" source node in the graph.`);if(!this._nodes.has(t))throw new k(`Graph.directedEdge: could not find the "${t}" target node in the graph.`);const r=e.out&&e.out[t]||void 0;if(r)return r.key}undirectedEdge(i,t){if(this.type==="directed")return;if(i=""+i,t=""+t,this.multi)throw new I("Graph.undirectedEdge: this method is irrelevant with multigraphs since there might be multiple edges between source & target. See #.undirectedEdges instead.");const e=this._nodes.get(i);if(!e)throw new k(`Graph.undirectedEdge: could not find the "${i}" source node in the graph.`);if(!this._nodes.has(t))throw new k(`Graph.undirectedEdge: could not find the "${t}" target node in the graph.`);const r=e.undirected&&e.undirected[t]||void 0;if(r)return r.key}edge(i,t){if(this.multi)throw new I("Graph.edge: this method is irrelevant with multigraphs since there might be multiple edges between source & target. See #.edges instead.");i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.edge: could not find the "${i}" source node in the graph.`);if(!this._nodes.has(t))throw new k(`Graph.edge: could not find the "${t}" target node in the graph.`);const r=e.out&&e.out[t]||e.undirected&&e.undirected[t]||void 0;if(r)return r.key}areDirectedNeighbors(i,t){i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.areDirectedNeighbors: could not find the "${i}" node in the graph.`);return this.type==="undirected"?!1:t in e.in||t in e.out}areOutNeighbors(i,t){i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.areOutNeighbors: could not find the "${i}" node in the graph.`);return this.type==="undirected"?!1:t in e.out}areInNeighbors(i,t){i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.areInNeighbors: could not find the "${i}" node in the graph.`);return this.type==="undirected"?!1:t in e.in}areUndirectedNeighbors(i,t){i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.areUndirectedNeighbors: could not find the "${i}" node in the graph.`);return this.type==="directed"?!1:t in e.undirected}areNeighbors(i,t){i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.areNeighbors: could not find the "${i}" node in the graph.`);return this.type!=="undirected"&&(t in e.in||t in e.out)||this.type!=="directed"&&t in e.undirected}areInboundNeighbors(i,t){i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.areInboundNeighbors: could not find the "${i}" node in the graph.`);return this.type!=="undirected"&&t in e.in||this.type!=="directed"&&t in e.undirected}areOutboundNeighbors(i,t){i=""+i,t=""+t;const e=this._nodes.get(i);if(!e)throw new k(`Graph.areOutboundNeighbors: could not find the "${i}" node in the graph.`);return this.type!=="undirected"&&t in e.out||this.type!=="directed"&&t in e.undirected}inDegree(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.inDegree: could not find the "${i}" node in the graph.`);return this.type==="undirected"?0:t.inDegree}outDegree(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.outDegree: could not find the "${i}" node in the graph.`);return this.type==="undirected"?0:t.outDegree}directedDegree(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.directedDegree: could not find the "${i}" node in the graph.`);return this.type==="undirected"?0:t.inDegree+t.outDegree}undirectedDegree(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.undirectedDegree: could not find the "${i}" node in the graph.`);return this.type==="directed"?0:t.undirectedDegree}inboundDegree(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.inboundDegree: could not find the "${i}" node in the graph.`);let e=0;return this.type!=="directed"&&(e+=t.undirectedDegree),this.type!=="undirected"&&(e+=t.inDegree),e}outboundDegree(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.outboundDegree: could not find the "${i}" node in the graph.`);let e=0;return this.type!=="directed"&&(e+=t.undirectedDegree),this.type!=="undirected"&&(e+=t.outDegree),e}degree(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.degree: could not find the "${i}" node in the graph.`);let e=0;return this.type!=="directed"&&(e+=t.undirectedDegree),this.type!=="undirected"&&(e+=t.inDegree+t.outDegree),e}inDegreeWithoutSelfLoops(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.inDegreeWithoutSelfLoops: could not find the "${i}" node in the graph.`);return this.type==="undirected"?0:t.inDegree-t.directedLoops}outDegreeWithoutSelfLoops(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.outDegreeWithoutSelfLoops: could not find the "${i}" node in the graph.`);return this.type==="undirected"?0:t.outDegree-t.directedLoops}directedDegreeWithoutSelfLoops(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.directedDegreeWithoutSelfLoops: could not find the "${i}" node in the graph.`);return this.type==="undirected"?0:t.inDegree+t.outDegree-t.directedLoops*2}undirectedDegreeWithoutSelfLoops(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.undirectedDegreeWithoutSelfLoops: could not find the "${i}" node in the graph.`);return this.type==="directed"?0:t.undirectedDegree-t.undirectedLoops*2}inboundDegreeWithoutSelfLoops(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.inboundDegreeWithoutSelfLoops: could not find the "${i}" node in the graph.`);let e=0,r=0;return this.type!=="directed"&&(e+=t.undirectedDegree,r+=t.undirectedLoops*2),this.type!=="undirected"&&(e+=t.inDegree,r+=t.directedLoops),e-r}outboundDegreeWithoutSelfLoops(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.outboundDegreeWithoutSelfLoops: could not find the "${i}" node in the graph.`);let e=0,r=0;return this.type!=="directed"&&(e+=t.undirectedDegree,r+=t.undirectedLoops*2),this.type!=="undirected"&&(e+=t.outDegree,r+=t.directedLoops),e-r}degreeWithoutSelfLoops(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.degreeWithoutSelfLoops: could not find the "${i}" node in the graph.`);let e=0,r=0;return this.type!=="directed"&&(e+=t.undirectedDegree,r+=t.undirectedLoops*2),this.type!=="undirected"&&(e+=t.inDegree+t.outDegree,r+=t.directedLoops*2),e-r}source(i){i=""+i;const t=this._edges.get(i);if(!t)throw new k(`Graph.source: could not find the "${i}" edge in the graph.`);return t.source.key}target(i){i=""+i;const t=this._edges.get(i);if(!t)throw new k(`Graph.target: could not find the "${i}" edge in the graph.`);return t.target.key}extremities(i){i=""+i;const t=this._edges.get(i);if(!t)throw new k(`Graph.extremities: could not find the "${i}" edge in the graph.`);return[t.source.key,t.target.key]}opposite(i,t){i=""+i,t=""+t;const e=this._edges.get(t);if(!e)throw new k(`Graph.opposite: could not find the "${t}" edge in the graph.`);const r=e.source.key,a=e.target.key;if(i===r)return a;if(i===a)return r;throw new k(`Graph.opposite: the "${i}" node is not attached to the "${t}" edge (${r}, ${a}).`)}hasExtremity(i,t){i=""+i,t=""+t;const e=this._edges.get(i);if(!e)throw new k(`Graph.hasExtremity: could not find the "${i}" edge in the graph.`);return e.source.key===t||e.target.key===t}isUndirected(i){i=""+i;const t=this._edges.get(i);if(!t)throw new k(`Graph.isUndirected: could not find the "${i}" edge in the graph.`);return t.undirected}isDirected(i){i=""+i;const t=this._edges.get(i);if(!t)throw new k(`Graph.isDirected: could not find the "${i}" edge in the graph.`);return!t.undirected}isSelfLoop(i){i=""+i;const t=this._edges.get(i);if(!t)throw new k(`Graph.isSelfLoop: could not find the "${i}" edge in the graph.`);return t.source===t.target}addNode(i,t){return cn(this,i,t).key}mergeNode(i,t){if(t&&!J(t))throw new x(`Graph.mergeNode: invalid attributes. Expecting an object but got "${t}"`);i=""+i,t=t||{};let e=this._nodes.get(i);return e?(t&&(Z(e.attributes,t),this.emit("nodeAttributesUpdated",{type:"merge",key:i,attributes:e.attributes,data:t})),[i,!1]):(e=new this.NodeDataClass(i,t),this._nodes.set(i,e),this.emit("nodeAdded",{key:i,attributes:t}),[i,!0])}updateNode(i,t){if(t&&typeof t!="function")throw new x(`Graph.updateNode: invalid updater function. Expecting a function but got "${t}"`);i=""+i;let e=this._nodes.get(i);if(e){if(t){const a=e.attributes;e.attributes=t(a),this.emit("nodeAttributesUpdated",{type:"replace",key:i,attributes:e.attributes})}return[i,!1]}const r=t?t({}):{};return e=new this.NodeDataClass(i,r),this._nodes.set(i,e),this.emit("nodeAdded",{key:i,attributes:r}),[i,!0]}dropNode(i){i=""+i;const t=this._nodes.get(i);if(!t)throw new k(`Graph.dropNode: could not find the "${i}" node in the graph.`);let e;if(this.type!=="undirected"){for(const r in t.out){e=t.out[r];do Ae(this,e),e=e.next;while(e)}for(const r in t.in){e=t.in[r];do Ae(this,e),e=e.next;while(e)}}if(this.type!=="directed")for(const r in t.undirected){e=t.undirected[r];do Ae(this,e),e=e.next;while(e)}this._nodes.delete(i),this.emit("nodeDropped",{key:i,attributes:t.attributes})}dropEdge(i){let t;if(arguments.length>1){const e=""+arguments[0],r=""+arguments[1];if(t=oe(this,e,r,this.type),!t)throw new k(`Graph.dropEdge: could not find the "${e}" -> "${r}" edge in the graph.`)}else if(i=""+i,t=this._edges.get(i),!t)throw new k(`Graph.dropEdge: could not find the "${i}" edge in the graph.`);return Ae(this,t),this}dropDirectedEdge(i,t){if(arguments.length<2)throw new I("Graph.dropDirectedEdge: it does not make sense to try and drop a directed edge by key. 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t.jsx(t.Fragment,{children:r})}export{i as P}; +import{j as t}from"./vendor-query-CqA1cBNl.js";import"./vendor-react-BfuodpLv.js";import{f as o}from"./index-CLb-kMYl.js";function i({children:r,label:s}){const{t:a}=o();return t.jsx(t.Fragment,{children:r})}export{i as P}; diff --git a/src/surreal_memory/server/static/dist/assets/ReasoningPage-BLOUPTbz.js b/src/surreal_memory/server/static/dist/assets/ReasoningPage-BLOUPTbz.js new file mode 100644 index 00000000..cf49364b --- /dev/null +++ b/src/surreal_memory/server/static/dist/assets/ReasoningPage-BLOUPTbz.js @@ -0,0 +1 @@ +import{u as H,a as P,b as Q,j as e}from"./vendor-query-CqA1cBNl.js";import{r as j}from"./vendor-react-BfuodpLv.js";import{C,a as E,b as q,c as _}from"./card-DG4oK1Wy.js";import{o as T,f as w,a as y,t as u,C as M,D as A,B as W}from"./index-CLb-kMYl.js";import{S as O}from"./skeleton-gKUrR2fT.js";import{I as K,a2 as J}from"./vendor-icons-C6dhS1UE.js";import{C as L}from"./confirm-dialog-u0oWl0am.js";import"./vendor-ui-Qm4_4bAc.js";import"./vendor-recharts-BkwZfCWA.js";const v={status:["reasoning","status"],patterns:["reasoning","patterns"],patternList:(t,n,s,a)=>["reasoning","patterns",t,n,s,a]};function V(){return H({queryKey:v.status,queryFn:()=>T.get("/api/dashboard/reasoning/status"),refetchInterval:t=>t.state.data?.mining.running?1500:!1})}function B(){const t=P();return Q({mutationFn:n=>T.put("/api/dashboard/reasoning/config",n),onMutate:async n=>{await t.cancelQueries({queryKey:v.status});const s=t.getQueryData(v.status);return s&&t.setQueryData(v.status,{...s,config:{...s.config,...n}}),{prev:s}},onError:(n,s,a)=>{a?.prev&&t.setQueryData(v.status,a.prev)},onSettled:()=>t.invalidateQueries({queryKey:v.status})})}function Y(){const t=P();return Q({mutationFn:n=>T.post("/api/dashboard/reasoning/mine",n),onSuccess:()=>t.invalidateQueries({queryKey:v.status})})}function ee(t="",n="",s=50,a=0){const l=new URLSearchParams;return t&&l.set("model",t),n&&l.set("category",n),l.set("limit",String(s)),l.set("offset",String(a)),H({queryKey:v.patternList(t,n,s,a),queryFn:()=>T.get(`/api/dashboard/reasoning/patterns?${l.toString()}`)})}function ne(){const t=P();return Q({mutationFn:n=>T.delete(`/api/dashboard/reasoning/patterns/${encodeURIComponent(n)}`),onSuccess:()=>{t.invalidateQueries({queryKey:v.status}),t.invalidateQueries({queryKey:v.patterns})}})}function se(){const t=P();return Q({mutationFn:n=>T.delete(`/api/dashboard/reasoning/patterns?model=${encodeURIComponent(n)}`),onSuccess:()=>{t.invalidateQueries({queryKey:v.status}),t.invalidateQueries({queryKey:v.patterns})}})}function te(){const t=P();return Q({mutationFn:n=>T.delete(`/api/dashboard/reasoning/traces?model=${encodeURIComponent(n)}`),onSuccess:()=>t.invalidateQueries({queryKey:v.status})})}function re({mining:t}){const{t:n}=w(),{phase:s,files_total:a,files_scanned:l,traces_found:g,traces_ingested:m}=t,d=a>0?Math.round(l/a*100):0,i=s==="scanning"||s==="ingesting",p=n(s==="scanning"?"reasoning.progressScanning":s==="ingesting"?"reasoning.progressIngesting":s==="distilling"?"reasoning.progressDistilling":"reasoning.progressDone");return e.jsxs("div",{"data-testid":"mining-progress",className:"space-y-2 rounded-md border border-border bg-muted/40 p-3",children:[e.jsxs("div",{className:"flex items-center justify-between text-xs",children:[e.jsx("span",{className:"font-medium",children:p}),i&&a>0&&e.jsx("span",{className:"font-mono tabular-nums text-muted-foreground",children:n("reasoning.progressFiles",{scanned:l,total:a})})]}),i&&a>0&&e.jsx("div",{className:"h-2 overflow-hidden rounded-full bg-muted",children:e.jsx("div",{className:"h-full rounded-full bg-primary transition-all duration-300",style:{width:`${d}%`}})}),i&&e.jsx("p",{className:"text-xs text-muted-foreground",children:n("reasoning.progressTraces",{found:g,ingested:m})}),s==="distilling"&&e.jsx("p",{className:"font-mono text-xs text-muted-foreground",children:n("reasoning.progressModels",{model:t.current_model??"",done:t.models_done,total:t.models_total,patterns:t.patterns_learned})})]})}function ae({status:t}){const{t:n}=w(),s=B(),a=Y(),l=te(),g=t.config.mining_enabled,m=new Set(t.config.mining_models),d=t.mining.running,[i,p]=j.useState(!1),[h,b]=j.useState(null),N=()=>{if(!h)return;const r=h;b(null),l.mutate(r,{onSuccess:o=>u.success(n("reasoning.tracesWiped",{count:o.deleted})),onError:o=>u.error(M(o,n("reasoning.configSaveFailed")))})},S=r=>{s.mutate({mining_enabled:r},{onSuccess:()=>u.success(n("reasoning.configSaved")),onError:o=>u.error(M(o,n("reasoning.configSaveFailed")))})},D=(r,o)=>{const f=new Set(m);o?f.add(r):f.delete(r),s.mutate({mining_models:[...f]},{onSuccess:()=>u.success(n("reasoning.configSaved")),onError:x=>u.error(M(x,n("reasoning.configSaveFailed")))})},z=()=>{a.mutate({backfill:i},{onSuccess:()=>u.success(n("reasoning.miningStarted")),onError:r=>{r instanceof A&&r.status===409?u.error(n("reasoning.miningInProgress")):r instanceof A&&r.status===400?u.error(n("reasoning.miningDisabled")):u.error(n("reasoning.miningFailed"))}})};return e.jsxs(C,{children:[e.jsx(E,{children:e.jsx(q,{children:n("reasoning.miningTitle")})}),e.jsxs(_,{className:"space-y-4 text-sm",children:[e.jsxs("label",{className:"flex cursor-pointer items-center gap-3",children:[e.jsx("input",{type:"checkbox",checked:g,onChange:r=>S(r.target.checked),disabled:s.isPending,className:"size-4 cursor-pointer"}),e.jsx("span",{children:n("reasoning.miningEnabled")})]}),e.jsxs("div",{className:"space-y-1",children:[e.jsx("p",{className:"text-xs font-medium text-muted-foreground",children:n("reasoning.miningModels")}),t.detected_models.length===0?e.jsx("p",{className:"text-xs text-muted-foreground",children:n("reasoning.noModels")}):e.jsx("div",{className:"space-y-1.5",children:t.per_model.map(r=>e.jsxs("div",{className:"flex items-center gap-2",children:[e.jsxs("label",{className:"flex flex-1 items-center gap-2",title:r.has_thinking_text?r.model:n("reasoning.noThinkingText"),children:[e.jsx("input",{type:"checkbox",checked:m.has(r.model),disabled:!r.has_thinking_text||s.isPending,onChange:o=>D(r.model,o.target.checked),className:"size-4 cursor-pointer disabled:cursor-not-allowed"}),e.jsx("span",{className:r.has_thinking_text?"font-mono":"font-mono text-muted-foreground",children:r.model}),!r.has_thinking_text&&e.jsxs("span",{className:"text-xs text-muted-foreground",children:["(",n("reasoning.noThinkingShort"),")"]})]}),r.trace_count>0&&e.jsx(y,{variant:"ghost",size:"icon",onClick:()=>b(r.model),disabled:l.isPending,title:n("reasoning.wipeTraces"),"aria-label":n("reasoning.wipeTraces"),children:e.jsx(K,{className:"size-4"})})]},r.model))}),e.jsx("p",{className:"pt-1 text-xs text-muted-foreground",children:n("reasoning.miningModelsHint")})]}),e.jsxs("div",{className:"flex flex-wrap items-center gap-3 pt-1",children:[e.jsxs("label",{className:"flex cursor-pointer items-center gap-2 text-xs",children:[e.jsx("input",{type:"checkbox",checked:i,onChange:r=>p(r.target.checked),className:"size-4 cursor-pointer"}),e.jsx("span",{children:n("reasoning.backfill")})]}),e.jsx(y,{size:"sm",onClick:z,disabled:!g||d||a.isPending,children:n(d?"reasoning.miningRunning":"reasoning.runMining")})]}),d&&e.jsx(re,{mining:t.mining})]}),e.jsx(L,{open:h!==null,title:n("reasoning.wipeTracesTitle"),description:n("reasoning.wipeTracesDesc",{model:h??""}),variant:"destructive",confirmLabel:n("reasoning.wipeTraces"),onConfirm:N,onCancel:()=>b(null)})]})}const ie=10,oe=100;function le({status:t}){const{t:n}=w(),s=B(),a=t.per_model.filter(i=>i.has_thinking_text),l=t.config.pattern_targets,[g,m]=j.useState(l);j.useEffect(()=>{m(l)},[l]);const d=(i,p)=>{const h={...g,[i]:p};m(h),s.mutate({pattern_targets:h},{onSuccess:()=>u.success(n("reasoning.configSaved")),onError:b=>u.error(M(b,n("reasoning.configSaveFailed")))})};return e.jsxs(C,{children:[e.jsx(E,{children:e.jsx(q,{children:n("reasoning.targetsTitle")})}),e.jsxs(_,{className:"space-y-4 text-sm",children:[a.length===0?e.jsx("p",{className:"text-xs text-muted-foreground",children:n("reasoning.noModels")}):e.jsx("div",{className:"space-y-4",children:a.map(i=>{const p=g[i.model]??0;return e.jsxs("div",{className:"space-y-1.5",children:[e.jsxs("div",{className:"flex items-center justify-between gap-2",children:[e.jsx("span",{className:"font-mono text-xs",children:i.model}),e.jsx("span",{className:"font-mono text-xs tabular-nums text-muted-foreground",children:p})]}),e.jsx("input",{type:"range",min:0,max:oe,step:ie,value:p,"aria-label":i.model,onChange:h=>d(i.model,Number(h.target.value)),className:"w-full cursor-pointer accent-primary"}),e.jsxs("div",{className:"flex items-center justify-between gap-2 text-xs text-muted-foreground",children:[e.jsx("span",{children:n("reasoning.targetCounts",{patterns:i.pattern_count,traces:i.trace_count})}),p===0&&e.jsx("span",{children:n("reasoning.targetsZeroHint")})]})]},i.model)})}),e.jsx("p",{className:"pt-1 text-xs text-muted-foreground",children:n("reasoning.targetsHint")})]})]})}let ce=0;const Z=()=>`pair-${ce++}`,U=t=>Object.entries(t).map(([n,s])=>({id:Z(),target:n,source:s}));function de({status:t}){const{t:n}=w(),s=B(),a=t.config.injection_enabled,l=t.per_model.filter(r=>r.has_thinking_text).map(r=>r.model),[g,m]=j.useState(()=>U(t.config.injection_map)),[d,i]=j.useState(!1),[p,h]=j.useState(t.config.injection_map);t.config.injection_map!==p&&(h(t.config.injection_map),m(U(t.config.injection_map)),i(!1));const b=r=>{s.mutate({injection_enabled:r},{onSuccess:()=>u.success(n("reasoning.configSaved")),onError:o=>u.error(M(o,n("reasoning.configSaveFailed")))})},N=(r,o)=>{m(f=>f.map(x=>x.id===r?{...x,...o}:x)),i(!0)},S=()=>{m(r=>[...r,{id:Z(),target:"",source:l[0]??""}]),i(!0)},D=r=>{m(o=>o.filter(f=>f.id!==r)),i(!0)},z=()=>{const r=new Set,o={};for(const f of g){const x=f.target.trim(),F=f.source.trim();if(!(!x||!F)){if(r.has(x)){u.error(n("reasoning.duplicateTarget",{target:x}));return}r.add(x),o[x]=F}}s.mutate({injection_map:o},{onSuccess:()=>{u.success(n("reasoning.configSaved")),i(!1)},onError:f=>u.error(M(f,n("reasoning.configSaveFailed")))})};return e.jsxs(C,{children:[e.jsx(E,{children:e.jsx(q,{children:n("reasoning.injectionTitle")})}),e.jsxs(_,{className:"space-y-4 text-sm",children:[e.jsxs("label",{className:"flex cursor-pointer items-center gap-3",children:[e.jsx("input",{type:"checkbox",checked:a,onChange:r=>b(r.target.checked),disabled:s.isPending,className:"size-4 cursor-pointer"}),e.jsx("span",{children:n("reasoning.injectionEnabled")})]}),e.jsxs("div",{className:"space-y-2",children:[e.jsx("p",{className:"text-xs font-medium text-muted-foreground",children:n("reasoning.injectionMap")}),g.length===0&&e.jsx("p",{className:"text-xs text-muted-foreground",children:n("reasoning.noMappings")}),g.map(r=>e.jsxs("div",{className:"flex items-center gap-2",children:[e.jsxs("select",{value:r.source,onChange:o=>N(r.id,{source:o.target.value}),className:"w-40 rounded-md border border-border bg-background px-2 py-1.5 font-mono text-xs","aria-label":n("reasoning.source"),children:[!l.includes(r.source)&&r.source&&e.jsx("option",{value:r.source,children:r.source}),l.map(o=>e.jsx("option",{value:o,children:o},o))]}),e.jsx("span",{className:"text-muted-foreground",children:"→"}),e.jsx("input",{type:"text",value:r.target,onChange:o=>N(r.id,{target:o.target.value}),placeholder:n("reasoning.targetPlaceholder"),className:"w-40 rounded-md border border-border bg-background px-2 py-1.5 font-mono text-xs","aria-label":n("reasoning.target")}),e.jsx(y,{variant:"ghost",size:"icon",onClick:()=>D(r.id),"aria-label":n("common.delete"),children:e.jsx(K,{className:"size-4"})})]},r.id)),e.jsxs("div",{className:"flex items-center gap-2 pt-1",children:[e.jsxs(y,{variant:"outline",size:"sm",onClick:S,disabled:l.length===0,children:[e.jsx(J,{className:"size-4"})," ",n("reasoning.addMapping")]}),e.jsx(y,{size:"sm",onClick:z,disabled:!d||s.isPending,children:n("reasoning.save")})]}),e.jsx("p",{className:"text-xs text-muted-foreground",children:n("reasoning.injectionMapHint")})]})]})]})}const k=20;function ge({detectedModels:t,categories:n}){const{t:s}=w(),[a,l]=j.useState(""),[g,m]=j.useState(""),[d,i]=j.useState(0),[p,h]=j.useState(null),[b,N]=j.useState(null),{data:S,isLoading:D,isError:z,refetch:r}=ee(a,g,k,d),o=ne(),f=se(),x=S?.total??0,F=S?.patterns??[];S&&d>0&&d>=x&&i(Math.max(0,x-k));const $=()=>i(0),G=()=>{if(!p)return;const c=p.id;h(null),o.mutate(c,{onSuccess:()=>u.success(s("reasoning.patternDeleted")),onError:()=>u.error(s("reasoning.patternDeleteFailed"))})},X=()=>{if(!b)return;const c=b;N(null),f.mutate(c,{onSuccess:I=>u.success(s("reasoning.patternsDeletedCount",{count:I.deleted})),onError:I=>u.error(M(I,s("reasoning.patternDeleteFailed")))})};return e.jsxs(C,{children:[e.jsx(E,{children:e.jsx(q,{children:s("reasoning.patternsTitle")})}),e.jsxs(_,{className:"space-y-4 text-sm",children:[e.jsxs("div",{className:"flex flex-wrap gap-2",children:[e.jsxs("select",{value:a,onChange:c=>{l(c.target.value),$()},className:"rounded-md border border-border bg-background px-2 py-1.5 text-xs","aria-label":s("reasoning.filterModel"),children:[e.jsx("option",{value:"",children:s("reasoning.allModels")}),t.map(c=>e.jsx("option",{value:c,children:c},c))]}),e.jsxs("select",{value:g,onChange:c=>{m(c.target.value),$()},className:"rounded-md border border-border bg-background px-2 py-1.5 text-xs","aria-label":s("reasoning.filterCategory"),children:[e.jsx("option",{value:"",children:s("reasoning.allCategories")}),n.map(c=>e.jsx("option",{value:c,children:c},c))]}),a&&e.jsxs(y,{variant:"outline",size:"sm",className:"text-destructive",onClick:()=>N(a),disabled:f.isPending,children:[e.jsx(K,{className:"size-4"})," ",s("reasoning.deleteAllForModel")]})]}),D?e.jsx(O,{className:"h-32 w-full"}):z?e.jsxs("div",{className:"space-y-2",children:[e.jsx("p",{className:"text-sm text-destructive",children:s("reasoning.patternsError")}),e.jsx(y,{variant:"outline",size:"sm",onClick:()=>r(),children:s("common.retry")})]}):F.length===0?e.jsx("p",{className:"text-sm text-muted-foreground",children:s("reasoning.noPatterns")}):e.jsx("div",{className:"overflow-x-auto",children:e.jsxs("table",{className:"w-full text-sm",children:[e.jsx("thead",{children:e.jsxs("tr",{className:"border-b text-left text-muted-foreground",children:[e.jsx("th",{className:"py-2 pr-3 font-medium",children:s("reasoning.colTitle")}),e.jsx("th",{className:"py-2 pr-3 font-medium",children:s("reasoning.colModel")}),e.jsx("th",{className:"py-2 pr-3 font-medium",children:s("reasoning.colCategory")}),e.jsx("th",{className:"py-2 pr-3 text-right font-medium",children:s("reasoning.colConfidence")}),e.jsx("th",{className:"py-2 pr-3 text-right font-medium",children:s("reasoning.colFrequency")}),e.jsx("th",{className:"py-2 font-medium"})]})}),e.jsx("tbody",{children:F.map(c=>e.jsxs("tr",{className:"border-b border-border/50",children:[e.jsx("td",{className:"py-2 pr-3",children:c.title}),e.jsx("td",{className:"py-2 pr-3 font-mono text-xs",children:c.source_model}),e.jsx("td",{className:"py-2 pr-3",children:e.jsx(W,{variant:"secondary",children:c.category})}),e.jsxs("td",{className:"py-2 pr-3 text-right font-mono",children:[Math.round(c.confidence*100),"%"]}),e.jsx("td",{className:"py-2 pr-3 text-right font-mono",children:c.frequency}),e.jsx("td",{className:"py-2 text-right",children:e.jsx(y,{variant:"ghost",size:"icon",onClick:()=>h(c),"aria-label":s("common.delete"),children:e.jsx(K,{className:"size-4"})})})]},c.id))})]})}),x>k&&e.jsxs("div",{className:"flex items-center justify-between text-xs text-muted-foreground",children:[e.jsxs("span",{children:[d+1,"–",Math.min(d+k,x)," / ",x]}),e.jsxs("div",{className:"flex gap-2",children:[e.jsx(y,{variant:"outline",size:"sm",disabled:d===0,onClick:()=>i(Math.max(0,d-k)),children:s("common.prev")}),e.jsx(y,{variant:"outline",size:"sm",disabled:d+k>=x,onClick:()=>i(d+k),children:s("common.next")})]})]})]}),e.jsx(L,{open:p!==null,title:s("reasoning.deletePatternTitle"),description:s("reasoning.deletePatternDesc",{title:p?.title??""}),variant:"destructive",confirmLabel:s("common.delete"),onConfirm:G,onCancel:()=>h(null)}),e.jsx(L,{open:b!==null,title:s("reasoning.deleteAllTitle"),description:s("reasoning.deleteAllDesc",{model:b??""}),variant:"destructive",confirmLabel:s("common.delete"),onConfirm:X,onCancel:()=>N(null)})]})}function R({label:t,value:n}){return e.jsxs(C,{children:[e.jsx(E,{className:"pb-2",children:e.jsx(q,{className:"text-sm font-medium text-muted-foreground",children:t})}),e.jsx(_,{children:e.jsx("p",{className:"font-mono text-2xl font-bold",children:n.toLocaleString()})})]})}function ue({status:t}){const{t:n}=w(),s=t.per_model.filter(a=>a.pattern_count>0);return s.length===0?null:e.jsxs(C,{children:[e.jsx(E,{children:e.jsx(q,{children:n("reasoning.coverageTitle")})}),e.jsx(_,{className:"space-y-4 text-sm",children:s.map(a=>{const l=t.coverage_by_model[a.model]??[];return e.jsxs("div",{className:"space-y-1.5",children:[e.jsxs("div",{className:"flex items-center justify-between",children:[e.jsx("span",{className:"font-mono text-xs",children:a.model}),e.jsxs("span",{className:"font-mono text-xs text-muted-foreground",children:[a.coverage_percent,"%"]})]}),e.jsx("div",{className:"h-2 overflow-hidden rounded-full bg-muted",children:e.jsx("div",{className:"h-full rounded-full bg-primary transition-all duration-500",style:{width:`${a.coverage_percent}%`}})}),l.length>0&&e.jsx("div",{className:"flex flex-wrap gap-1 pt-1",children:l.map(g=>e.jsxs(W,{variant:g.covered?"success":"outline",children:[g.category," (",g.pattern_count,")"]},g.category))})]},a.model)})})]})}function Ne(){const{t}=w(),n=P(),{data:s,isLoading:a,isError:l,refetch:g}=V(),m=s?.mining.running??!1,d=j.useRef(m);return j.useEffect(()=>{d.current&&!m&&n.invalidateQueries({queryKey:["reasoning","patterns"]}),d.current=m},[m,n]),e.jsxs("div",{className:"space-y-6 p-6",children:[e.jsxs("div",{children:[e.jsx("h1",{className:"font-display text-2xl font-bold",children:t("reasoning.pageTitle")}),e.jsx("p",{className:"text-sm text-muted-foreground",children:t("reasoning.pageSubtitle")})]}),a?e.jsx("div",{className:"grid grid-cols-1 gap-4 sm:grid-cols-4",children:[0,1,2,3].map(i=>e.jsx(O,{className:"h-24 w-full"},i))}):l||!s?e.jsx(C,{children:e.jsxs(_,{className:"space-y-2 p-6",children:[e.jsx("p",{className:"text-sm text-destructive",children:t("reasoning.statusError")}),e.jsx(y,{variant:"outline",size:"sm",onClick:()=>g(),children:t("common.retry")})]})}):e.jsxs(e.Fragment,{children:[e.jsxs("div",{className:"grid grid-cols-1 gap-4 sm:grid-cols-4",children:[e.jsx(R,{label:t("reasoning.kpiTraces"),value:s.total_traces}),e.jsx(R,{label:t("reasoning.kpiUnprocessed"),value:s.unprocessed_traces}),e.jsx(R,{label:t("reasoning.kpiPatterns"),value:s.total_patterns}),e.jsx(R,{label:t("reasoning.kpiModels"),value:s.detected_models.length})]}),s.total_traces===0&&!s.mining.running&&e.jsx(C,{children:e.jsx(_,{className:"p-6 text-sm text-muted-foreground",children:t("reasoning.emptyState")})}),e.jsx(ue,{status:s}),e.jsxs("div",{className:"grid grid-cols-1 gap-6 lg:grid-cols-2",children:[e.jsx(ae,{status:s}),e.jsx(le,{status:s})]}),e.jsx(de,{status:s}),e.jsx(ge,{detectedModels:s.detected_models,categories:s.config.categories})]})]})}export{Ne as default}; diff --git a/src/surreal_memory/server/static/dist/assets/ReasoningPage-BjC1wtHj.js b/src/surreal_memory/server/static/dist/assets/ReasoningPage-BjC1wtHj.js deleted file mode 100644 index 1a0fedb5..00000000 --- a/src/surreal_memory/server/static/dist/assets/ReasoningPage-BjC1wtHj.js +++ /dev/null @@ -1 +0,0 @@ -import{u as A,a as w,b as z,j as e}from"./vendor-query-CqA1cBNl.js";import{r as f}from"./vendor-react-BfuodpLv.js";import{C as k,a as D,b as F,c as _}from"./card-Duzfr-hx.js";import{o as M,f as Q,a as j,t as c,C as P,D as $,B as W}from"./index-DXL5wCpD.js";import{S as H}from"./skeleton-CBW-y0cP.js";import{I as K,a2 as V}from"./vendor-icons-C6dhS1UE.js";import{C as L}from"./confirm-dialog-DE0Sgk6_.js";import"./vendor-ui-Qm4_4bAc.js";import"./vendor-recharts-BkwZfCWA.js";const h={status:["reasoning","status"],patterns:["reasoning","patterns"],patternList:(a,n,s,i)=>["reasoning","patterns",a,n,s,i]};function X(){return A({queryKey:h.status,queryFn:()=>M.get("/api/dashboard/reasoning/status"),refetchInterval:a=>a.state.data?.mining.running?3e3:!1})}function O(){const a=w();return z({mutationFn:n=>M.put("/api/dashboard/reasoning/config",n),onMutate:async n=>{await a.cancelQueries({queryKey:h.status});const s=a.getQueryData(h.status);return s&&a.setQueryData(h.status,{...s,config:{...s.config,...n}}),{prev:s}},onError:(n,s,i)=>{i?.prev&&a.setQueryData(h.status,i.prev)},onSettled:()=>a.invalidateQueries({queryKey:h.status})})}function Y(){const a=w();return z({mutationFn:n=>M.post("/api/dashboard/reasoning/mine",n),onSuccess:()=>a.invalidateQueries({queryKey:h.status})})}function ee(a="",n="",s=50,i=0){const l=new URLSearchParams;return a&&l.set("model",a),n&&l.set("category",n),l.set("limit",String(s)),l.set("offset",String(i)),A({queryKey:h.patternList(a,n,s,i),queryFn:()=>M.get(`/api/dashboard/reasoning/patterns?${l.toString()}`)})}function ne(){const a=w();return z({mutationFn:n=>M.delete(`/api/dashboard/reasoning/patterns/${encodeURIComponent(n)}`),onSuccess:()=>{a.invalidateQueries({queryKey:h.status}),a.invalidateQueries({queryKey:h.patterns})}})}function se(){const a=w();return z({mutationFn:n=>M.delete(`/api/dashboard/reasoning/patterns?model=${encodeURIComponent(n)}`),onSuccess:()=>{a.invalidateQueries({queryKey:h.status}),a.invalidateQueries({queryKey:h.patterns})}})}function te(){const a=w();return z({mutationFn:n=>M.delete(`/api/dashboard/reasoning/traces?model=${encodeURIComponent(n)}`),onSuccess:()=>a.invalidateQueries({queryKey:h.status})})}function ae({status:a}){const{t:n}=Q(),s=O(),i=Y(),l=te(),g=a.config.mining_enabled,p=new Set(a.config.mining_models),u=a.mining.running,[m,y]=f.useState(!1),[v,b]=f.useState(null),N=()=>{if(!v)return;const t=v;b(null),l.mutate(t,{onSuccess:r=>c.success(n("reasoning.tracesWiped",{count:r.deleted})),onError:r=>c.error(P(r,n("reasoning.configSaveFailed")))})},C=t=>{s.mutate({mining_enabled:t},{onSuccess:()=>c.success(n("reasoning.configSaved")),onError:r=>c.error(P(r,n("reasoning.configSaveFailed")))})},T=(t,r)=>{const x=new Set(p);r?x.add(t):x.delete(t),s.mutate({mining_models:[...x]},{onSuccess:()=>c.success(n("reasoning.configSaved")),onError:d=>c.error(P(d,n("reasoning.configSaveFailed")))})},E=()=>{i.mutate({backfill:m},{onSuccess:()=>c.success(n("reasoning.miningStarted")),onError:t=>{t instanceof $&&t.status===409?c.error(n("reasoning.miningInProgress")):t instanceof $&&t.status===400?c.error(n("reasoning.miningDisabled")):c.error(n("reasoning.miningFailed"))}})};return e.jsxs(k,{children:[e.jsx(D,{children:e.jsx(F,{children:n("reasoning.miningTitle")})}),e.jsxs(_,{className:"space-y-4 text-sm",children:[e.jsxs("label",{className:"flex cursor-pointer items-center gap-3",children:[e.jsx("input",{type:"checkbox",checked:g,onChange:t=>C(t.target.checked),disabled:s.isPending,className:"size-4 cursor-pointer"}),e.jsx("span",{children:n("reasoning.miningEnabled")})]}),e.jsxs("div",{className:"space-y-1",children:[e.jsx("p",{className:"text-xs font-medium text-muted-foreground",children:n("reasoning.miningModels")}),a.detected_models.length===0?e.jsx("p",{className:"text-xs text-muted-foreground",children:n("reasoning.noModels")}):e.jsx("div",{className:"space-y-1.5",children:a.per_model.map(t=>e.jsxs("div",{className:"flex items-center gap-2",children:[e.jsxs("label",{className:"flex flex-1 items-center gap-2",title:t.has_thinking_text?t.model:n("reasoning.noThinkingText"),children:[e.jsx("input",{type:"checkbox",checked:p.has(t.model),disabled:!t.has_thinking_text||s.isPending,onChange:r=>T(t.model,r.target.checked),className:"size-4 cursor-pointer disabled:cursor-not-allowed"}),e.jsx("span",{className:t.has_thinking_text?"font-mono":"font-mono text-muted-foreground",children:t.model}),!t.has_thinking_text&&e.jsxs("span",{className:"text-xs text-muted-foreground",children:["(",n("reasoning.noThinkingShort"),")"]})]}),t.trace_count>0&&e.jsx(j,{variant:"ghost",size:"icon",onClick:()=>b(t.model),disabled:l.isPending,title:n("reasoning.wipeTraces"),"aria-label":n("reasoning.wipeTraces"),children:e.jsx(K,{className:"size-4"})})]},t.model))}),e.jsx("p",{className:"pt-1 text-xs text-muted-foreground",children:n("reasoning.miningModelsHint")})]}),e.jsxs("div",{className:"flex flex-wrap items-center gap-3 pt-1",children:[e.jsxs("label",{className:"flex cursor-pointer items-center gap-2 text-xs",children:[e.jsx("input",{type:"checkbox",checked:m,onChange:t=>y(t.target.checked),className:"size-4 cursor-pointer"}),e.jsx("span",{children:n("reasoning.backfill")})]}),e.jsx(j,{size:"sm",onClick:E,disabled:!g||u||i.isPending,children:n(u?"reasoning.miningRunning":"reasoning.runMining")})]})]}),e.jsx(L,{open:v!==null,title:n("reasoning.wipeTracesTitle"),description:n("reasoning.wipeTracesDesc",{model:v??""}),variant:"destructive",confirmLabel:n("reasoning.wipeTraces"),onConfirm:N,onCancel:()=>b(null)})]})}let re=0;const G=()=>`pair-${re++}`,U=a=>Object.entries(a).map(([n,s])=>({id:G(),target:n,source:s}));function ie({status:a}){const{t:n}=Q(),s=O(),i=a.config.injection_enabled,l=a.per_model.filter(t=>t.has_thinking_text).map(t=>t.model),[g,p]=f.useState(()=>U(a.config.injection_map)),[u,m]=f.useState(!1),[y,v]=f.useState(a.config.injection_map);a.config.injection_map!==y&&(v(a.config.injection_map),p(U(a.config.injection_map)),m(!1));const b=t=>{s.mutate({injection_enabled:t},{onSuccess:()=>c.success(n("reasoning.configSaved")),onError:r=>c.error(P(r,n("reasoning.configSaveFailed")))})},N=(t,r)=>{p(x=>x.map(d=>d.id===t?{...d,...r}:d)),m(!0)},C=()=>{p(t=>[...t,{id:G(),target:"",source:l[0]??""}]),m(!0)},T=t=>{p(r=>r.filter(x=>x.id!==t)),m(!0)},E=()=>{const t=new Set,r={};for(const x of g){const d=x.target.trim(),q=x.source.trim();if(!(!d||!q)){if(t.has(d)){c.error(n("reasoning.duplicateTarget",{target:d}));return}t.add(d),r[d]=q}}s.mutate({injection_map:r},{onSuccess:()=>{c.success(n("reasoning.configSaved")),m(!1)},onError:x=>c.error(P(x,n("reasoning.configSaveFailed")))})};return e.jsxs(k,{children:[e.jsx(D,{children:e.jsx(F,{children:n("reasoning.injectionTitle")})}),e.jsxs(_,{className:"space-y-4 text-sm",children:[e.jsxs("label",{className:"flex cursor-pointer items-center gap-3",children:[e.jsx("input",{type:"checkbox",checked:i,onChange:t=>b(t.target.checked),disabled:s.isPending,className:"size-4 cursor-pointer"}),e.jsx("span",{children:n("reasoning.injectionEnabled")})]}),e.jsxs("div",{className:"space-y-2",children:[e.jsx("p",{className:"text-xs font-medium text-muted-foreground",children:n("reasoning.injectionMap")}),g.length===0&&e.jsx("p",{className:"text-xs text-muted-foreground",children:n("reasoning.noMappings")}),g.map(t=>e.jsxs("div",{className:"flex items-center gap-2",children:[e.jsxs("select",{value:t.source,onChange:r=>N(t.id,{source:r.target.value}),className:"w-40 rounded-md border border-border bg-background px-2 py-1.5 font-mono text-xs","aria-label":n("reasoning.source"),children:[!l.includes(t.source)&&t.source&&e.jsx("option",{value:t.source,children:t.source}),l.map(r=>e.jsx("option",{value:r,children:r},r))]}),e.jsx("span",{className:"text-muted-foreground",children:"→"}),e.jsx("input",{type:"text",value:t.target,onChange:r=>N(t.id,{target:r.target.value}),placeholder:n("reasoning.targetPlaceholder"),className:"w-40 rounded-md border border-border bg-background px-2 py-1.5 font-mono text-xs","aria-label":n("reasoning.target")}),e.jsx(j,{variant:"ghost",size:"icon",onClick:()=>T(t.id),"aria-label":n("common.delete"),children:e.jsx(K,{className:"size-4"})})]},t.id)),e.jsxs("div",{className:"flex items-center gap-2 pt-1",children:[e.jsxs(j,{variant:"outline",size:"sm",onClick:C,disabled:l.length===0,children:[e.jsx(V,{className:"size-4"})," ",n("reasoning.addMapping")]}),e.jsx(j,{size:"sm",onClick:E,disabled:!u||s.isPending,children:n("reasoning.save")})]}),e.jsx("p",{className:"text-xs text-muted-foreground",children:n("reasoning.injectionMapHint")})]})]})]})}const S=20;function oe({detectedModels:a,categories:n}){const{t:s}=Q(),[i,l]=f.useState(""),[g,p]=f.useState(""),[u,m]=f.useState(0),[y,v]=f.useState(null),[b,N]=f.useState(null),{data:C,isLoading:T,isError:E,refetch:t}=ee(i,g,S,u),r=ne(),x=se(),d=C?.total??0,q=C?.patterns??[];C&&u>0&&u>=d&&m(Math.max(0,d-S));const B=()=>m(0),Z=()=>{if(!y)return;const o=y.id;v(null),r.mutate(o,{onSuccess:()=>c.success(s("reasoning.patternDeleted")),onError:()=>c.error(s("reasoning.patternDeleteFailed"))})},J=()=>{if(!b)return;const o=b;N(null),x.mutate(o,{onSuccess:I=>c.success(s("reasoning.patternsDeletedCount",{count:I.deleted})),onError:I=>c.error(P(I,s("reasoning.patternDeleteFailed")))})};return e.jsxs(k,{children:[e.jsx(D,{children:e.jsx(F,{children:s("reasoning.patternsTitle")})}),e.jsxs(_,{className:"space-y-4 text-sm",children:[e.jsxs("div",{className:"flex flex-wrap gap-2",children:[e.jsxs("select",{value:i,onChange:o=>{l(o.target.value),B()},className:"rounded-md border border-border bg-background px-2 py-1.5 text-xs","aria-label":s("reasoning.filterModel"),children:[e.jsx("option",{value:"",children:s("reasoning.allModels")}),a.map(o=>e.jsx("option",{value:o,children:o},o))]}),e.jsxs("select",{value:g,onChange:o=>{p(o.target.value),B()},className:"rounded-md border border-border bg-background px-2 py-1.5 text-xs","aria-label":s("reasoning.filterCategory"),children:[e.jsx("option",{value:"",children:s("reasoning.allCategories")}),n.map(o=>e.jsx("option",{value:o,children:o},o))]}),i&&e.jsxs(j,{variant:"outline",size:"sm",className:"text-destructive",onClick:()=>N(i),disabled:x.isPending,children:[e.jsx(K,{className:"size-4"})," ",s("reasoning.deleteAllForModel")]})]}),T?e.jsx(H,{className:"h-32 w-full"}):E?e.jsxs("div",{className:"space-y-2",children:[e.jsx("p",{className:"text-sm text-destructive",children:s("reasoning.patternsError")}),e.jsx(j,{variant:"outline",size:"sm",onClick:()=>t(),children:s("common.retry")})]}):q.length===0?e.jsx("p",{className:"text-sm text-muted-foreground",children:s("reasoning.noPatterns")}):e.jsx("div",{className:"overflow-x-auto",children:e.jsxs("table",{className:"w-full text-sm",children:[e.jsx("thead",{children:e.jsxs("tr",{className:"border-b text-left text-muted-foreground",children:[e.jsx("th",{className:"py-2 pr-3 font-medium",children:s("reasoning.colTitle")}),e.jsx("th",{className:"py-2 pr-3 font-medium",children:s("reasoning.colModel")}),e.jsx("th",{className:"py-2 pr-3 font-medium",children:s("reasoning.colCategory")}),e.jsx("th",{className:"py-2 pr-3 text-right font-medium",children:s("reasoning.colConfidence")}),e.jsx("th",{className:"py-2 pr-3 text-right font-medium",children:s("reasoning.colFrequency")}),e.jsx("th",{className:"py-2 font-medium"})]})}),e.jsx("tbody",{children:q.map(o=>e.jsxs("tr",{className:"border-b border-border/50",children:[e.jsx("td",{className:"py-2 pr-3",children:o.title}),e.jsx("td",{className:"py-2 pr-3 font-mono text-xs",children:o.source_model}),e.jsx("td",{className:"py-2 pr-3",children:e.jsx(W,{variant:"secondary",children:o.category})}),e.jsxs("td",{className:"py-2 pr-3 text-right font-mono",children:[Math.round(o.confidence*100),"%"]}),e.jsx("td",{className:"py-2 pr-3 text-right font-mono",children:o.frequency}),e.jsx("td",{className:"py-2 text-right",children:e.jsx(j,{variant:"ghost",size:"icon",onClick:()=>v(o),"aria-label":s("common.delete"),children:e.jsx(K,{className:"size-4"})})})]},o.id))})]})}),d>S&&e.jsxs("div",{className:"flex items-center justify-between text-xs text-muted-foreground",children:[e.jsxs("span",{children:[u+1,"–",Math.min(u+S,d)," / ",d]}),e.jsxs("div",{className:"flex gap-2",children:[e.jsx(j,{variant:"outline",size:"sm",disabled:u===0,onClick:()=>m(Math.max(0,u-S)),children:s("common.prev")}),e.jsx(j,{variant:"outline",size:"sm",disabled:u+S>=d,onClick:()=>m(u+S),children:s("common.next")})]})]})]}),e.jsx(L,{open:y!==null,title:s("reasoning.deletePatternTitle"),description:s("reasoning.deletePatternDesc",{title:y?.title??""}),variant:"destructive",confirmLabel:s("common.delete"),onConfirm:Z,onCancel:()=>v(null)}),e.jsx(L,{open:b!==null,title:s("reasoning.deleteAllTitle"),description:s("reasoning.deleteAllDesc",{model:b??""}),variant:"destructive",confirmLabel:s("common.delete"),onConfirm:J,onCancel:()=>N(null)})]})}function R({label:a,value:n}){return e.jsxs(k,{children:[e.jsx(D,{className:"pb-2",children:e.jsx(F,{className:"text-sm font-medium text-muted-foreground",children:a})}),e.jsx(_,{children:e.jsx("p",{className:"font-mono text-2xl font-bold",children:n.toLocaleString()})})]})}function le({status:a}){const{t:n}=Q(),s=a.per_model.filter(i=>i.pattern_count>0);return s.length===0?null:e.jsxs(k,{children:[e.jsx(D,{children:e.jsx(F,{children:n("reasoning.coverageTitle")})}),e.jsx(_,{className:"space-y-4 text-sm",children:s.map(i=>{const l=a.coverage_by_model[i.model]??[];return e.jsxs("div",{className:"space-y-1.5",children:[e.jsxs("div",{className:"flex items-center justify-between",children:[e.jsx("span",{className:"font-mono text-xs",children:i.model}),e.jsxs("span",{className:"font-mono text-xs text-muted-foreground",children:[i.coverage_percent,"%"]})]}),e.jsx("div",{className:"h-2 overflow-hidden rounded-full bg-muted",children:e.jsx("div",{className:"h-full rounded-full bg-primary transition-all duration-500",style:{width:`${i.coverage_percent}%`}})}),l.length>0&&e.jsx("div",{className:"flex flex-wrap gap-1 pt-1",children:l.map(g=>e.jsxs(W,{variant:g.covered?"success":"outline",children:[g.category," (",g.pattern_count,")"]},g.category))})]},i.model)})})]})}function je(){const{t:a}=Q(),n=w(),{data:s,isLoading:i,isError:l,refetch:g}=X(),p=s?.mining.running??!1,u=f.useRef(p);return f.useEffect(()=>{u.current&&!p&&n.invalidateQueries({queryKey:["reasoning","patterns"]}),u.current=p},[p,n]),e.jsxs("div",{className:"space-y-6 p-6",children:[e.jsxs("div",{children:[e.jsx("h1",{className:"font-display text-2xl font-bold",children:a("reasoning.pageTitle")}),e.jsx("p",{className:"text-sm text-muted-foreground",children:a("reasoning.pageSubtitle")})]}),i?e.jsx("div",{className:"grid grid-cols-1 gap-4 sm:grid-cols-4",children:[0,1,2,3].map(m=>e.jsx(H,{className:"h-24 w-full"},m))}):l||!s?e.jsx(k,{children:e.jsxs(_,{className:"space-y-2 p-6",children:[e.jsx("p",{className:"text-sm text-destructive",children:a("reasoning.statusError")}),e.jsx(j,{variant:"outline",size:"sm",onClick:()=>g(),children:a("common.retry")})]})}):e.jsxs(e.Fragment,{children:[e.jsxs("div",{className:"grid grid-cols-1 gap-4 sm:grid-cols-4",children:[e.jsx(R,{label:a("reasoning.kpiTraces"),value:s.total_traces}),e.jsx(R,{label:a("reasoning.kpiUnprocessed"),value:s.unprocessed_traces}),e.jsx(R,{label:a("reasoning.kpiPatterns"),value:s.total_patterns}),e.jsx(R,{label:a("reasoning.kpiModels"),value:s.detected_models.length})]}),s.total_traces===0&&!s.mining.running&&e.jsx(k,{children:e.jsx(_,{className:"p-6 text-sm text-muted-foreground",children:a("reasoning.emptyState")})}),e.jsx(le,{status:s}),e.jsxs("div",{className:"grid grid-cols-1 gap-6 lg:grid-cols-2",children:[e.jsx(ae,{status:s}),e.jsx(ie,{status:s})]}),e.jsx(oe,{detectedModels:s.detected_models,categories:s.config.categories})]})]})}export{je as default}; diff --git a/src/surreal_memory/server/static/dist/assets/SettingsPage-CcFz-Brq.js b/src/surreal_memory/server/static/dist/assets/SettingsPage-Dq3EMb_r.js similarity index 97% rename from src/surreal_memory/server/static/dist/assets/SettingsPage-CcFz-Brq.js rename to src/surreal_memory/server/static/dist/assets/SettingsPage-Dq3EMb_r.js index 5b62b48e..47eaf72c 100644 --- a/src/surreal_memory/server/static/dist/assets/SettingsPage-CcFz-Brq.js +++ b/src/surreal_memory/server/static/dist/assets/SettingsPage-Dq3EMb_r.js @@ -1 +1 @@ -import{u as B,b as T,j as e}from"./vendor-query-CqA1cBNl.js";import{o as C,u as L,f as w,B as p,p as P,q as M,r as z,a as _,t as d,s as D,b as A,v as R,w as U,x as O,y as I}from"./index-DXL5wCpD.js";import{C as u,a as x,b as g,c as h}from"./card-Duzfr-hx.js";import{R as K,S as $,T as q,E as G}from"./vendor-icons-C6dhS1UE.js";import{S as y}from"./skeleton-CBW-y0cP.js";import{r as S}from"./vendor-react-BfuodpLv.js";import{P as H}from"./ProGate-DjphnyL3.js";import"./vendor-ui-Qm4_4bAc.js";import"./vendor-recharts-BkwZfCWA.js";const V={status:["telegram","status"]};function W(){return B({queryKey:V.status,queryFn:()=>C.get("/api/dashboard/telegram/status"),retry:!1})}function Q(){return T({mutationFn:()=>C.post("/api/dashboard/telegram/test",{})})}function Y(){return T({mutationFn:t=>C.post("/api/dashboard/telegram/backup",{brain:t})})}const J={configured:"success",warning:"warning",not_configured:"secondary",info:"default"};function X(){const{data:t,isLoading:l}=L(),{t:o}=w();return e.jsxs(u,{children:[e.jsx(x,{children:e.jsx(g,{children:o("settings.configStatus")})}),e.jsx(h,{children:l?e.jsx("div",{className:"space-y-3",children:Array.from({length:4}).map((a,n)=>e.jsx(y,{className:"h-14 w-full"},n))}):e.jsx("div",{className:"space-y-2",children:t?.items.map(a=>e.jsxs("div",{className:"rounded-lg border border-border/50 px-3 py-2 space-y-1",children:[e.jsxs("div",{className:"flex items-center justify-between gap-2",children:[e.jsx("span",{className:"text-sm font-medium",children:a.label}),e.jsx(p,{variant:J[a.status],children:a.status})]}),a.value&&e.jsx("p",{className:"font-mono text-xs 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f?c:r.jsxs(w,{children:[r.jsx(z,{children:r.jsx(C,{className:"text-sm",children:"Memory Visualizer"})}),r.jsx(k,{children:c})]})}function D(){const{t:s}=u();return r.jsx(_,{label:s("license.pro_feature","Pro Feature"),children:r.jsxs("div",{className:"space-y-6 p-6",children:[r.jsxs("div",{children:[r.jsx("h1",{className:"font-display text-2xl font-bold",children:s("visualize.title","Memory Visualizer")}),r.jsx("p",{className:"mt-1 text-sm text-muted-foreground",children:s("visualize.description","Query your memories and generate charts from stored data.")})]}),r.jsx(P,{})]})})}export{D as default}; diff --git a/src/surreal_memory/server/static/dist/assets/card-Duzfr-hx.js b/src/surreal_memory/server/static/dist/assets/card-DG4oK1Wy.js similarity index 86% rename from src/surreal_memory/server/static/dist/assets/card-Duzfr-hx.js rename to src/surreal_memory/server/static/dist/assets/card-DG4oK1Wy.js index a84002b6..2805b4b9 100644 --- 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0?c.keySeparator:this.options.keySeparator,m=c.ignoreJSONStructure!==void 0?c.ignoreJSONStructure:this.options.ignoreJSONStructure;let h;l.indexOf(".")>-1?h=l.split("."):(h=[l,r],o&&(Array.isArray(o)?h.push(...o):se(o)&&f?h.push(...o.split(f)):h.push(o)));const b=mr(this.data,h);return!b&&!r&&!o&&l.indexOf(".")>-1&&(l=h[0],r=h[1],o=h.slice(2).join(".")),b||!m||!se(o)?b:nc(this.data?.[l]?.[r],o,f)}addResource(l,r,o,c,f={silent:!1}){const m=f.keySeparator!==void 0?f.keySeparator:this.options.keySeparator;let h=[l,r];o&&(h=h.concat(m?o.split(m):o)),l.indexOf(".")>-1&&(h=l.split("."),c=r,r=h[1]),this.addNamespaces(r),Om(this.data,h,c),f.silent||this.emit("added",l,r,o,c)}addResources(l,r,o,c={silent:!1}){for(const f in o)(se(o[f])||Array.isArray(o[f]))&&this.addResource(l,r,f,o[f],{silent:!0});c.silent||this.emit("added",l,r,o)}addResourceBundle(l,r,o,c,f,m={silent:!1,skipCopy:!1}){let h=[l,r];l.indexOf(".")>-1&&(h=l.split("."),c=o,o=r,r=h[1]),this.addNamespaces(r);let b=mr(this.data,h)||{};m.skipCopy||(o=JSON.parse(JSON.stringify(o))),c?Sg(b,o,f):b={...b,...o},Om(this.data,h,b),m.silent||this.emit("added",l,r,o)}removeResourceBundle(l,r){this.hasResourceBundle(l,r)&&delete this.data[l][r],this.removeNamespaces(r),this.emit("removed",l,r)}hasResourceBundle(l,r){return this.getResource(l,r)!==void 0}getResourceBundle(l,r){return r||(r=this.options.defaultNS),this.getResource(l,r)}getDataByLanguage(l){return this.data[l]}hasLanguageSomeTranslations(l){const r=this.getDataByLanguage(l);return!!(r&&Object.keys(r)||[]).find(c=>r[c]&&Object.keys(r[c]).length>0)}toJSON(){return this.data}}var xg={processors:{},addPostProcessor(i){this.processors[i.name]=i},handle(i,l,r,o,c){return i.forEach(f=>{l=this.processors[f]?.process(l,r,o,c)??l}),l}};const Eg=Symbol("i18next/PATH_KEY");function Q0(){const i=[],l=Object.create(null);let r;return l.get=(o,c)=>(r?.revoke?.(),c===Eg?i:(i.push(c),r=Proxy.revocable(o,l),r.proxy)),Proxy.revocable(Object.create(null),l).proxy}function ac(i,l){const{[Eg]:r}=i(Q0());return r.join(l?.keySeparator??".")}const Nm={},ku=i=>!se(i)&&typeof i!="boolean"&&typeof i!="number";class pr extends Sr{constructor(l,r={}){super(),j0(["resourceStore","languageUtils","pluralResolver","interpolator","backendConnector","i18nFormat","utils"],l,this),this.options=r,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=fn.create("translator")}changeLanguage(l){l&&(this.language=l)}exists(l,r={interpolation:{}}){const o={...r};if(l==null)return!1;const c=this.resolve(l,o);if(c?.res===void 0)return!1;const f=ku(c.res);return!(o.returnObjects===!1&&f)}extractFromKey(l,r){let o=r.nsSeparator!==void 0?r.nsSeparator:this.options.nsSeparator;o===void 0&&(o=":");const c=r.keySeparator!==void 0?r.keySeparator:this.options.keySeparator;let f=r.ns||this.options.defaultNS||[];const m=o&&l.indexOf(o)>-1,h=!this.options.userDefinedKeySeparator&&!r.keySeparator&&!this.options.userDefinedNsSeparator&&!r.nsSeparator&&!K0(l,o,c);if(m&&!h){const b=l.match(this.interpolator.nestingRegexp);if(b&&b.length>0)return{key:l,namespaces:se(f)?[f]:f};const v=l.split(o);(o!==c||o===c&&this.options.ns.indexOf(v[0])>-1)&&(f=v.shift()),l=v.join(c)}return{key:l,namespaces:se(f)?[f]:f}}translate(l,r,o){let c=typeof r=="object"?{...r}:r;if(typeof c!="object"&&this.options.overloadTranslationOptionHandler&&(c=this.options.overloadTranslationOptionHandler(arguments)),typeof c=="object"&&(c={...c}),c||(c={}),l==null)return"";typeof l=="function"&&(l=ac(l,{...this.options,...c})),Array.isArray(l)||(l=[String(l)]);const f=c.returnDetails!==void 0?c.returnDetails:this.options.returnDetails,m=c.keySeparator!==void 0?c.keySeparator:this.options.keySeparator,{key:h,namespaces:b}=this.extractFromKey(l[l.length-1],c),v=b[b.length-1];let x=c.nsSeparator!==void 0?c.nsSeparator:this.options.nsSeparator;x===void 0&&(x=":");const g=c.lng||this.language,D=c.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(g?.toLowerCase()==="cimode")return D?f?{res:`${v}${x}${h}`,usedKey:h,exactUsedKey:h,usedLng:g,usedNS:v,usedParams:this.getUsedParamsDetails(c)}:`${v}${x}${h}`:f?{res:h,usedKey:h,exactUsedKey:h,usedLng:g,usedNS:v,usedParams:this.getUsedParamsDetails(c)}:h;const z=this.resolve(l,c);let j=z?.res;const B=z?.usedKey||h,K=z?.exactUsedKey||h,U=["[object Number]","[object Function]","[object RegExp]"],Q=c.joinArrays!==void 0?c.joinArrays:this.options.joinArrays,Z=!this.i18nFormat||this.i18nFormat.handleAsObject,I=c.count!==void 0&&!se(c.count),ee=pr.hasDefaultValue(c),J=I?this.pluralResolver.getSuffix(g,c.count,c):"",X=c.ordinal&&I?this.pluralResolver.getSuffix(g,c.count,{ordinal:!1}):"",ve=I&&!c.ordinal&&c.count===0,ae=ve&&c[`defaultValue${this.options.pluralSeparator}zero`]||c[`defaultValue${J}`]||c[`defaultValue${X}`]||c.defaultValue;let te=j;Z&&!j&&ee&&(te=ae);const fe=ku(te),re=Object.prototype.toString.apply(te);if(Z&&te&&fe&&U.indexOf(re)<0&&!(se(Q)&&Array.isArray(te))){if(!c.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const Ee=this.options.returnedObjectHandler?this.options.returnedObjectHandler(B,te,{...c,ns:b}):`key '${h} (${this.language})' returned an object instead of string.`;return f?(z.res=Ee,z.usedParams=this.getUsedParamsDetails(c),z):Ee}if(m){const Ee=Array.isArray(te),Te=Ee?[]:{},je=Ee?K:B;for(const A in te)if(Object.prototype.hasOwnProperty.call(te,A)){const V=`${je}${m}${A}`;ee&&!j?Te[A]=this.translate(V,{...c,defaultValue:ku(ae)?ae[A]:void 0,joinArrays:!1,ns:b}):Te[A]=this.translate(V,{...c,joinArrays:!1,ns:b}),Te[A]===V&&(Te[A]=te[A])}j=Te}}else if(Z&&se(Q)&&Array.isArray(j))j=j.join(Q),j&&(j=this.extendTranslation(j,l,c,o));else{let Ee=!1,Te=!1;!this.isValidLookup(j)&&ee&&(Ee=!0,j=ae),this.isValidLookup(j)||(Te=!0,j=h);const A=(c.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&Te?void 0:j,V=ee&&ae!==j&&this.options.updateMissing;if(Te||Ee||V){if(this.logger.log(V?"updateKey":"missingKey",g,v,h,V?ae:j),m){const me=this.resolve(h,{...c,keySeparator:!1});me&&me.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let $=[];const de=this.languageUtils.getFallbackCodes(this.options.fallbackLng,c.lng||this.language);if(this.options.saveMissingTo==="fallback"&&de&&de[0])for(let me=0;me{const G=ee&&q!==j?q:A;this.options.missingKeyHandler?this.options.missingKeyHandler(me,v,_,G,V,c):this.backendConnector?.saveMissing&&this.backendConnector.saveMissing(me,v,_,G,V,c),this.emit("missingKey",me,v,_,j)};this.options.saveMissing&&(this.options.saveMissingPlurals&&I?$.forEach(me=>{const _=this.pluralResolver.getSuffixes(me,c);ve&&c[`defaultValue${this.options.pluralSeparator}zero`]&&_.indexOf(`${this.options.pluralSeparator}zero`)<0&&_.push(`${this.options.pluralSeparator}zero`),_.forEach(q=>{oe([me],h+q,c[`defaultValue${q}`]||ae)})}):oe($,h,ae))}j=this.extendTranslation(j,l,c,z,o),Te&&j===h&&this.options.appendNamespaceToMissingKey&&(j=`${v}${x}${h}`),(Te||Ee)&&this.options.parseMissingKeyHandler&&(j=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${v}${x}${h}`:h,Ee?j:void 0,c))}return f?(z.res=j,z.usedParams=this.getUsedParamsDetails(c),z):j}extendTranslation(l,r,o,c,f){if(this.i18nFormat?.parse)l=this.i18nFormat.parse(l,{...this.options.interpolation.defaultVariables,...o},o.lng||this.language||c.usedLng,c.usedNS,c.usedKey,{resolved:c});else if(!o.skipInterpolation){o.interpolation&&this.interpolator.init({...o,interpolation:{...this.options.interpolation,...o.interpolation}});const b=se(l)&&(o?.interpolation?.skipOnVariables!==void 0?o.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let v;if(b){const g=l.match(this.interpolator.nestingRegexp);v=g&&g.length}let x=o.replace&&!se(o.replace)?o.replace:o;if(this.options.interpolation.defaultVariables&&(x={...this.options.interpolation.defaultVariables,...x}),l=this.interpolator.interpolate(l,x,o.lng||this.language||c.usedLng,o),b){const g=l.match(this.interpolator.nestingRegexp),D=g&&g.length;vf?.[0]===g[0]&&!o.context?(this.logger.warn(`It seems you are nesting recursively key: ${g[0]} in key: ${r[0]}`),null):this.translate(...g,r),o)),o.interpolation&&this.interpolator.reset()}const m=o.postProcess||this.options.postProcess,h=se(m)?[m]:m;return l!=null&&h?.length&&o.applyPostProcessor!==!1&&(l=xg.handle(h,l,r,this.options&&this.options.postProcessPassResolved?{i18nResolved:{...c,usedParams:this.getUsedParamsDetails(o)},...o}:o,this)),l}resolve(l,r={}){let o,c,f,m,h;return se(l)&&(l=[l]),l.forEach(b=>{if(this.isValidLookup(o))return;const v=this.extractFromKey(b,r),x=v.key;c=x;let g=v.namespaces;this.options.fallbackNS&&(g=g.concat(this.options.fallbackNS));const D=r.count!==void 0&&!se(r.count),z=D&&!r.ordinal&&r.count===0,j=r.context!==void 0&&(se(r.context)||typeof r.context=="number")&&r.context!=="",B=r.lngs?r.lngs:this.languageUtils.toResolveHierarchy(r.lng||this.language,r.fallbackLng);g.forEach(K=>{this.isValidLookup(o)||(h=K,!Nm[`${B[0]}-${K}`]&&this.utils?.hasLoadedNamespace&&!this.utils?.hasLoadedNamespace(h)&&(Nm[`${B[0]}-${K}`]=!0,this.logger.warn(`key "${c}" for languages "${B.join(", ")}" won't get resolved as namespace "${h}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),B.forEach(U=>{if(this.isValidLookup(o))return;m=U;const Q=[x];if(this.i18nFormat?.addLookupKeys)this.i18nFormat.addLookupKeys(Q,x,U,K,r);else{let I;D&&(I=this.pluralResolver.getSuffix(U,r.count,r));const ee=`${this.options.pluralSeparator}zero`,J=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(D&&(r.ordinal&&I.indexOf(J)===0&&Q.push(x+I.replace(J,this.options.pluralSeparator)),Q.push(x+I),z&&Q.push(x+ee)),j){const X=`${x}${this.options.contextSeparator||"_"}${r.context}`;Q.push(X),D&&(r.ordinal&&I.indexOf(J)===0&&Q.push(X+I.replace(J,this.options.pluralSeparator)),Q.push(X+I),z&&Q.push(X+ee))}}let Z;for(;Z=Q.pop();)this.isValidLookup(o)||(f=Z,o=this.getResource(U,K,Z,r))}))})}),{res:o,usedKey:c,exactUsedKey:f,usedLng:m,usedNS:h}}isValidLookup(l){return l!==void 0&&!(!this.options.returnNull&&l===null)&&!(!this.options.returnEmptyString&&l==="")}getResource(l,r,o,c={}){return this.i18nFormat?.getResource?this.i18nFormat.getResource(l,r,o,c):this.resourceStore.getResource(l,r,o,c)}getUsedParamsDetails(l={}){const r=["defaultValue","ordinal","context","replace","lng","lngs","fallbackLng","ns","keySeparator","nsSeparator","returnObjects","returnDetails","joinArrays","postProcess","interpolation"],o=l.replace&&!se(l.replace);let c=o?l.replace:l;if(o&&typeof l.count<"u"&&(c.count=l.count),this.options.interpolation.defaultVariables&&(c={...this.options.interpolation.defaultVariables,...c}),!o){c={...c};for(const f of r)delete c[f]}return c}static hasDefaultValue(l){const r="defaultValue";for(const o in l)if(Object.prototype.hasOwnProperty.call(l,o)&&r===o.substring(0,r.length)&&l[o]!==void 0)return!0;return!1}}class Am{constructor(l){this.options=l,this.supportedLngs=this.options.supportedLngs||!1,this.logger=fn.create("languageUtils")}getScriptPartFromCode(l){if(l=Li(l),!l||l.indexOf("-")<0)return null;const r=l.split("-");return r.length===2||(r.pop(),r[r.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(r.join("-"))}getLanguagePartFromCode(l){if(l=Li(l),!l||l.indexOf("-")<0)return l;const r=l.split("-");return this.formatLanguageCode(r[0])}formatLanguageCode(l){if(se(l)&&l.indexOf("-")>-1){let r;try{r=Intl.getCanonicalLocales(l)[0]}catch{}return r&&this.options.lowerCaseLng&&(r=r.toLowerCase()),r||(this.options.lowerCaseLng?l.toLowerCase():l)}return this.options.cleanCode||this.options.lowerCaseLng?l.toLowerCase():l}isSupportedCode(l){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(l=this.getLanguagePartFromCode(l)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(l)>-1}getBestMatchFromCodes(l){if(!l)return null;let r;return l.forEach(o=>{if(r)return;const c=this.formatLanguageCode(o);(!this.options.supportedLngs||this.isSupportedCode(c))&&(r=c)}),!r&&this.options.supportedLngs&&l.forEach(o=>{if(r)return;const c=this.getScriptPartFromCode(o);if(this.isSupportedCode(c))return r=c;const f=this.getLanguagePartFromCode(o);if(this.isSupportedCode(f))return r=f;r=this.options.supportedLngs.find(m=>{if(m===f)return m;if(!(m.indexOf("-")<0&&f.indexOf("-")<0)&&(m.indexOf("-")>0&&f.indexOf("-")<0&&m.substring(0,m.indexOf("-"))===f||m.indexOf(f)===0&&f.length>1))return m})}),r||(r=this.getFallbackCodes(this.options.fallbackLng)[0]),r}getFallbackCodes(l,r){if(!l)return[];if(typeof l=="function"&&(l=l(r)),se(l)&&(l=[l]),Array.isArray(l))return l;if(!r)return l.default||[];let o=l[r];return o||(o=l[this.getScriptPartFromCode(r)]),o||(o=l[this.formatLanguageCode(r)]),o||(o=l[this.getLanguagePartFromCode(r)]),o||(o=l.default),o||[]}toResolveHierarchy(l,r){const o=this.getFallbackCodes((r===!1?[]:r)||this.options.fallbackLng||[],l),c=[],f=m=>{m&&(this.isSupportedCode(m)?c.push(m):this.logger.warn(`rejecting language code not found in supportedLngs: ${m}`))};return se(l)&&(l.indexOf("-")>-1||l.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&f(this.formatLanguageCode(l)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&f(this.getScriptPartFromCode(l)),this.options.load!=="currentOnly"&&f(this.getLanguagePartFromCode(l))):se(l)&&f(this.formatLanguageCode(l)),o.forEach(m=>{c.indexOf(m)<0&&f(this.formatLanguageCode(m))}),c}}const Dm={zero:0,one:1,two:2,few:3,many:4,other:5},wm={select:i=>i===1?"one":"other",resolvedOptions:()=>({pluralCategories:["one","other"]})};class X0{constructor(l,r={}){this.languageUtils=l,this.options=r,this.logger=fn.create("pluralResolver"),this.pluralRulesCache={}}clearCache(){this.pluralRulesCache={}}getRule(l,r={}){const o=Li(l==="dev"?"en":l),c=r.ordinal?"ordinal":"cardinal",f=JSON.stringify({cleanedCode:o,type:c});if(f in this.pluralRulesCache)return this.pluralRulesCache[f];let m;try{m=new Intl.PluralRules(o,{type:c})}catch{if(typeof Intl>"u")return this.logger.error("No Intl support, 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0?Q:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const l=(r,o)=>r?.source===o?(r.lastIndex=0,r):new RegExp(o,"g");this.regexp=l(this.regexp,`${this.prefix}(.+?)${this.suffix}`),this.regexpUnescape=l(this.regexpUnescape,`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`),this.nestingRegexp=l(this.nestingRegexp,`${this.nestingPrefix}((?:[^()"']+|"[^"]*"|'[^']*'|\\((?:[^()]|"[^"]*"|'[^']*')*\\))*?)${this.nestingSuffix}`)}interpolate(l,r,o,c){let f,m,h;const b=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{},v=z=>{if(z.indexOf(this.formatSeparator)<0){const U=Rm(r,b,z,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(U,void 0,o,{...c,...r,interpolationkey:z}):U}const j=z.split(this.formatSeparator),B=j.shift().trim(),K=j.join(this.formatSeparator).trim();return this.format(Rm(r,b,B,this.options.keySeparator,this.options.ignoreJSONStructure),K,o,{...c,...r,interpolationkey:B})};this.resetRegExp();const x=c?.missingInterpolationHandler||this.options.missingInterpolationHandler,g=c?.interpolation?.skipOnVariables!==void 0?c.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:z=>Ku(z)},{regex:this.regexp,safeValue:z=>this.escapeValue?Ku(this.escape(z)):Ku(z)}].forEach(z=>{for(h=0;f=z.regex.exec(l);){const j=f[1].trim();if(m=v(j),m===void 0)if(typeof x=="function"){const K=x(l,f,c);m=se(K)?K:""}else if(c&&Object.prototype.hasOwnProperty.call(c,j))m="";else if(g){m=f[0];continue}else this.logger.warn(`missed to pass in variable ${j} for interpolating ${l}`),m="";else!se(m)&&!this.useRawValueToEscape&&(m=xm(m));const 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h=>m.format(h)}),currency:o((c,f)=>{const m=new Intl.NumberFormat(c,{...f,style:"currency"});return h=>m.format(h)}),datetime:o((c,f)=>{const m=new Intl.DateTimeFormat(c,{...f});return h=>m.format(h)}),relativetime:o((c,f)=>{const m=new Intl.RelativeTimeFormat(c,{...f});return h=>m.format(h,f.range||"day")}),list:o((c,f)=>{const m=new Intl.ListFormat(c,{...f});return h=>m.format(h)})}}add(l,r){this.formats[l.toLowerCase().trim()]=r}addCached(l,r){this.formats[l.toLowerCase().trim()]=Mm(r)}format(l,r,o,c={}){const f=r.split(this.formatSeparator);if(f.length>1&&f[0].indexOf("(")>1&&f[0].indexOf(")")<0&&f.find(h=>h.indexOf(")")>-1)){const h=f.findIndex(b=>b.indexOf(")")>-1);f[0]=[f[0],...f.splice(1,h)].join(this.formatSeparator)}return f.reduce((h,b)=>{const{formatName:v,formatOptions:x}=Z0(b);if(this.formats[v]){let g=h;try{const D=c?.formatParams?.[c.interpolationkey]||{},z=D.locale||D.lng||c.locale||c.lng||o;g=this.formats[v](h,z,{...x,...c,...D})}catch(D){this.logger.warn(D)}return g}else this.logger.warn(`there was no format function for ${v}`);return h},l)}}const $0=(i,l)=>{i.pending[l]!==void 0&&(delete i.pending[l],i.pendingCount--)};class W0 extends Sr{constructor(l,r,o,c={}){super(),this.backend=l,this.store=r,this.services=o,this.languageUtils=o.languageUtils,this.options=c,this.logger=fn.create("backendConnector"),this.waitingReads=[],this.maxParallelReads=c.maxParallelReads||10,this.readingCalls=0,this.maxRetries=c.maxRetries>=0?c.maxRetries:5,this.retryTimeout=c.retryTimeout>=1?c.retryTimeout:350,this.state={},this.queue=[],this.backend?.init?.(o,c.backend,c)}queueLoad(l,r,o,c){const f={},m={},h={},b={};return l.forEach(v=>{let x=!0;r.forEach(g=>{const D=`${v}|${g}`;!o.reload&&this.store.hasResourceBundle(v,g)?this.state[D]=2:this.state[D]<0||(this.state[D]===1?m[D]===void 0&&(m[D]=!0):(this.state[D]=1,x=!1,m[D]===void 0&&(m[D]=!0),f[D]===void 0&&(f[D]=!0),b[g]===void 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m(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:l,ns:r,fcName:o,tried:c,wait:f,callback:m});return}this.readingCalls++;const h=(v,x)=>{if(this.readingCalls--,this.waitingReads.length>0){const g=this.waitingReads.shift();this.read(g.lng,g.ns,g.fcName,g.tried,g.wait,g.callback)}if(v&&x&&c{this.read.call(this,l,r,o,c+1,f*2,m)},f);return}m(v,x)},b=this.backend[o].bind(this.backend);if(b.length===2){try{const v=b(l,r);v&&typeof v.then=="function"?v.then(x=>h(null,x)).catch(h):h(null,v)}catch(v){h(v)}return}return b(l,r,h)}prepareLoading(l,r,o={},c){if(!this.backend)return this.logger.warn("No backend was added via i18next.use. 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Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(o==null||o==="")){if(this.backend?.create){const b={...m,isUpdate:f},v=this.backend.create.bind(this.backend);if(v.length<6)try{let x;v.length===5?x=v(l,r,o,c,b):x=v(l,r,o,c),x&&typeof x.then=="function"?x.then(g=>h(null,g)).catch(h):h(null,x)}catch(x){h(x)}else v(l,r,o,c,h,b)}!l||!l[0]||this.store.addResource(l[0],r,o,c)}}}const 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l},interpolation:{escapeValue:!0,format:i=>i,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0},cacheInBuiltFormats:!0}),_m=i=>(se(i.ns)&&(i.ns=[i.ns]),se(i.fallbackLng)&&(i.fallbackLng=[i.fallbackLng]),se(i.fallbackNS)&&(i.fallbackNS=[i.fallbackNS]),i.supportedLngs?.indexOf?.("cimode")<0&&(i.supportedLngs=i.supportedLngs.concat(["cimode"])),typeof i.initImmediate=="boolean"&&(i.initAsync=i.initImmediate),i),ar=()=>{},I0=i=>{Object.getOwnPropertyNames(Object.getPrototypeOf(i)).forEach(r=>{typeof i[r]=="function"&&(i[r]=i[r].bind(i))})},Tg="__i18next_supportNoticeShown",P0=()=>typeof globalThis<"u"&&!!globalThis[Tg],eb=()=>{typeof globalThis<"u"&&(globalThis[Tg]=!0)},tb=i=>!!(i?.modules?.backend?.name?.indexOf("Locize")>0||i?.modules?.backend?.constructor?.name?.indexOf("Locize")>0||i?.options?.backend?.backends&&i.options.backend.backends.some(l=>l?.name?.indexOf("Locize")>0||l?.constructor?.name?.indexOf("Locize")>0)||i?.options?.backend?.projectId||i?.options?.backend?.backendOptions&&i.options.backend.backendOptions.some(l=>l?.projectId));class _i extends Sr{constructor(l={},r){if(super(),this.options=_m(l),this.services={},this.logger=fn,this.modules={external:[]},I0(this),r&&!this.isInitialized&&!l.isClone){if(!this.options.initAsync)return this.init(l,r),this;setTimeout(()=>{this.init(l,r)},0)}}init(l={},r){this.isInitializing=!0,typeof l=="function"&&(r=l,l={}),l.defaultNS==null&&l.ns&&(se(l.ns)?l.defaultNS=l.ns:l.ns.indexOf("translation")<0&&(l.defaultNS=l.ns[0]));const o=Gu();this.options={...o,...this.options,..._m(l)},this.options.interpolation={...o.interpolation,...this.options.interpolation},l.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=l.keySeparator),l.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=l.nsSeparator),typeof this.options.overloadTranslationOptionHandler!="function"&&(this.options.overloadTranslationOptionHandler=o.overloadTranslationOptionHandler),this.options.showSupportNotice!==!1&&!tb(this)&&!P0()&&(typeof console<"u"&&typeof console.info<"u"&&console.info("🌐 i18next is maintained with support from Locize — consider powering your project with managed localization (AI, CDN, integrations): https://locize.com 💙"),eb());const c=v=>v?typeof v=="function"?new v:v:null;if(!this.options.isClone){this.modules.logger?fn.init(c(this.modules.logger),this.options):fn.init(null,this.options);let v;this.modules.formatter?v=this.modules.formatter:v=J0;const x=new Am(this.options);this.store=new Cm(this.options.resources,this.options);const g=this.services;g.logger=fn,g.resourceStore=this.store,g.languageUtils=x,g.pluralResolver=new X0(x,{prepend:this.options.pluralSeparator,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),this.options.interpolation.format&&this.options.interpolation.format!==o.interpolation.format&&this.logger.deprecate("init: you are still using the legacy format function, please use the new approach: https://www.i18next.com/translation-function/formatting"),v&&(!this.options.interpolation.format||this.options.interpolation.format===o.interpolation.format)&&(g.formatter=c(v),g.formatter.init&&g.formatter.init(g,this.options),this.options.interpolation.format=g.formatter.format.bind(g.formatter)),g.interpolator=new zm(this.options),g.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},g.backendConnector=new W0(c(this.modules.backend),g.resourceStore,g,this.options),g.backendConnector.on("*",(z,...j)=>{this.emit(z,...j)}),this.modules.languageDetector&&(g.languageDetector=c(this.modules.languageDetector),g.languageDetector.init&&g.languageDetector.init(g,this.options.detection,this.options)),this.modules.i18nFormat&&(g.i18nFormat=c(this.modules.i18nFormat),g.i18nFormat.init&&g.i18nFormat.init(this)),this.translator=new pr(this.services,this.options),this.translator.on("*",(z,...j)=>{this.emit(z,...j)}),this.modules.external.forEach(z=>{z.init&&z.init(this)})}if(this.format=this.options.interpolation.format,r||(r=ar),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const v=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);v.length>0&&v[0]!=="dev"&&(this.options.lng=v[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is 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You should call init just once!"),this.isInitialized=!0,this.options.isClone||this.logger.log("initialized",this.options),this.emit("initialized",this.options),h.resolve(g),r(x,g)};if(this.languages&&!this.isInitialized)return v(null,this.t.bind(this));this.changeLanguage(this.options.lng,v)};return this.options.resources||!this.options.initAsync?b():setTimeout(b,0),h}loadResources(l,r=ar){let o=r;const c=se(l)?l:this.language;if(typeof l=="function"&&(o=l),!this.options.resources||this.options.partialBundledLanguages){if(c?.toLowerCase()==="cimode"&&(!this.options.preload||this.options.preload.length===0))return o();const f=[],m=h=>{if(!h||h==="cimode")return;this.services.languageUtils.toResolveHierarchy(h).forEach(v=>{v!=="cimode"&&f.indexOf(v)<0&&f.push(v)})};c?m(c):this.services.languageUtils.getFallbackCodes(this.options.fallbackLng).forEach(b=>m(b)),this.options.preload?.forEach?.(h=>m(h)),this.services.backendConnector.load(f,this.options.ns,h=>{!h&&!this.resolvedLanguage&&this.language&&this.setResolvedLanguage(this.language),o(h)})}else o(null)}reloadResources(l,r,o){const c=Ri();return typeof l=="function"&&(o=l,l=void 0),typeof r=="function"&&(o=r,r=void 0),l||(l=this.languages),r||(r=this.options.ns),o||(o=ar),this.services.backendConnector.reload(l,r,f=>{c.resolve(),o(f)}),c}use(l){if(!l)throw new Error("You are passing an undefined module! 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b=mr(this.data,h)||{};m.skipCopy||(o=JSON.parse(JSON.stringify(o))),c?Sg(b,o,f):b={...b,...o},Om(this.data,h,b),m.silent||this.emit("added",l,r,o)}removeResourceBundle(l,r){this.hasResourceBundle(l,r)&&delete this.data[l][r],this.removeNamespaces(r),this.emit("removed",l,r)}hasResourceBundle(l,r){return this.getResource(l,r)!==void 0}getResourceBundle(l,r){return r||(r=this.options.defaultNS),this.getResource(l,r)}getDataByLanguage(l){return this.data[l]}hasLanguageSomeTranslations(l){const r=this.getDataByLanguage(l);return!!(r&&Object.keys(r)||[]).find(c=>r[c]&&Object.keys(r[c]).length>0)}toJSON(){return this.data}}var xg={processors:{},addPostProcessor(i){this.processors[i.name]=i},handle(i,l,r,o,c){return i.forEach(f=>{l=this.processors[f]?.process(l,r,o,c)??l}),l}};const Eg=Symbol("i18next/PATH_KEY");function Q0(){const i=[],l=Object.create(null);let r;return l.get=(o,c)=>(r?.revoke?.(),c===Eg?i:(i.push(c),r=Proxy.revocable(o,l),r.proxy)),Proxy.revocable(Object.create(null),l).proxy}function ac(i,l){const{[Eg]:r}=i(Q0());return r.join(l?.keySeparator??".")}const Nm={},ku=i=>!se(i)&&typeof i!="boolean"&&typeof i!="number";class pr extends Sr{constructor(l,r={}){super(),j0(["resourceStore","languageUtils","pluralResolver","interpolator","backendConnector","i18nFormat","utils"],l,this),this.options=r,this.options.keySeparator===void 0&&(this.options.keySeparator="."),this.logger=fn.create("translator")}changeLanguage(l){l&&(this.language=l)}exists(l,r={interpolation:{}}){const o={...r};if(l==null)return!1;const c=this.resolve(l,o);if(c?.res===void 0)return!1;const f=ku(c.res);return!(o.returnObjects===!1&&f)}extractFromKey(l,r){let o=r.nsSeparator!==void 0?r.nsSeparator:this.options.nsSeparator;o===void 0&&(o=":");const c=r.keySeparator!==void 0?r.keySeparator:this.options.keySeparator;let f=r.ns||this.options.defaultNS||[];const m=o&&l.indexOf(o)>-1,h=!this.options.userDefinedKeySeparator&&!r.keySeparator&&!this.options.userDefinedNsSeparator&&!r.nsSeparator&&!K0(l,o,c);if(m&&!h){const b=l.match(this.interpolator.nestingRegexp);if(b&&b.length>0)return{key:l,namespaces:se(f)?[f]:f};const v=l.split(o);(o!==c||o===c&&this.options.ns.indexOf(v[0])>-1)&&(f=v.shift()),l=v.join(c)}return{key:l,namespaces:se(f)?[f]:f}}translate(l,r,o){let c=typeof r=="object"?{...r}:r;if(typeof c!="object"&&this.options.overloadTranslationOptionHandler&&(c=this.options.overloadTranslationOptionHandler(arguments)),typeof c=="object"&&(c={...c}),c||(c={}),l==null)return"";typeof l=="function"&&(l=ac(l,{...this.options,...c})),Array.isArray(l)||(l=[String(l)]);const f=c.returnDetails!==void 0?c.returnDetails:this.options.returnDetails,m=c.keySeparator!==void 0?c.keySeparator:this.options.keySeparator,{key:h,namespaces:b}=this.extractFromKey(l[l.length-1],c),v=b[b.length-1];let x=c.nsSeparator!==void 0?c.nsSeparator:this.options.nsSeparator;x===void 0&&(x=":");const g=c.lng||this.language,A=c.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(g?.toLowerCase()==="cimode")return A?f?{res:`${v}${x}${h}`,usedKey:h,exactUsedKey:h,usedLng:g,usedNS:v,usedParams:this.getUsedParamsDetails(c)}:`${v}${x}${h}`:f?{res:h,usedKey:h,exactUsedKey:h,usedLng:g,usedNS:v,usedParams:this.getUsedParamsDetails(c)}:h;const z=this.resolve(l,c);let j=z?.res;const B=z?.usedKey||h,K=z?.exactUsedKey||h,U=["[object Number]","[object Function]","[object RegExp]"],Q=c.joinArrays!==void 0?c.joinArrays:this.options.joinArrays,Z=!this.i18nFormat||this.i18nFormat.handleAsObject,I=c.count!==void 0&&!se(c.count),ee=pr.hasDefaultValue(c),J=I?this.pluralResolver.getSuffix(g,c.count,c):"",X=c.ordinal&&I?this.pluralResolver.getSuffix(g,c.count,{ordinal:!1}):"",ve=I&&!c.ordinal&&c.count===0,ae=ve&&c[`defaultValue${this.options.pluralSeparator}zero`]||c[`defaultValue${J}`]||c[`defaultValue${X}`]||c.defaultValue;let te=j;Z&&!j&&ee&&(te=ae);const fe=ku(te),re=Object.prototype.toString.apply(te);if(Z&&te&&fe&&U.indexOf(re)<0&&!(se(Q)&&Array.isArray(te))){if(!c.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const Ee=this.options.returnedObjectHandler?this.options.returnedObjectHandler(B,te,{...c,ns:b}):`key '${h} (${this.language})' returned an object instead of string.`;return f?(z.res=Ee,z.usedParams=this.getUsedParamsDetails(c),z):Ee}if(m){const Ee=Array.isArray(te),Te=Ee?[]:{},je=Ee?K:B;for(const D in te)if(Object.prototype.hasOwnProperty.call(te,D)){const V=`${je}${m}${D}`;ee&&!j?Te[D]=this.translate(V,{...c,defaultValue:ku(ae)?ae[D]:void 0,joinArrays:!1,ns:b}):Te[D]=this.translate(V,{...c,joinArrays:!1,ns:b}),Te[D]===V&&(Te[D]=te[D])}j=Te}}else if(Z&&se(Q)&&Array.isArray(j))j=j.join(Q),j&&(j=this.extendTranslation(j,l,c,o));else{let Ee=!1,Te=!1;!this.isValidLookup(j)&&ee&&(Ee=!0,j=ae),this.isValidLookup(j)||(Te=!0,j=h);const D=(c.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&Te?void 0:j,V=ee&&ae!==j&&this.options.updateMissing;if(Te||Ee||V){if(this.logger.log(V?"updateKey":"missingKey",g,v,h,V?ae:j),m){const me=this.resolve(h,{...c,keySeparator:!1});me&&me.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let $=[];const de=this.languageUtils.getFallbackCodes(this.options.fallbackLng,c.lng||this.language);if(this.options.saveMissingTo==="fallback"&&de&&de[0])for(let me=0;me{const G=ee&&q!==j?q:D;this.options.missingKeyHandler?this.options.missingKeyHandler(me,v,_,G,V,c):this.backendConnector?.saveMissing&&this.backendConnector.saveMissing(me,v,_,G,V,c),this.emit("missingKey",me,v,_,j)};this.options.saveMissing&&(this.options.saveMissingPlurals&&I?$.forEach(me=>{const _=this.pluralResolver.getSuffixes(me,c);ve&&c[`defaultValue${this.options.pluralSeparator}zero`]&&_.indexOf(`${this.options.pluralSeparator}zero`)<0&&_.push(`${this.options.pluralSeparator}zero`),_.forEach(q=>{oe([me],h+q,c[`defaultValue${q}`]||ae)})}):oe($,h,ae))}j=this.extendTranslation(j,l,c,z,o),Te&&j===h&&this.options.appendNamespaceToMissingKey&&(j=`${v}${x}${h}`),(Te||Ee)&&this.options.parseMissingKeyHandler&&(j=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${v}${x}${h}`:h,Ee?j:void 0,c))}return f?(z.res=j,z.usedParams=this.getUsedParamsDetails(c),z):j}extendTranslation(l,r,o,c,f){if(this.i18nFormat?.parse)l=this.i18nFormat.parse(l,{...this.options.interpolation.defaultVariables,...o},o.lng||this.language||c.usedLng,c.usedNS,c.usedKey,{resolved:c});else if(!o.skipInterpolation){o.interpolation&&this.interpolator.init({...o,interpolation:{...this.options.interpolation,...o.interpolation}});const b=se(l)&&(o?.interpolation?.skipOnVariables!==void 0?o.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let v;if(b){const g=l.match(this.interpolator.nestingRegexp);v=g&&g.length}let x=o.replace&&!se(o.replace)?o.replace:o;if(this.options.interpolation.defaultVariables&&(x={...this.options.interpolation.defaultVariables,...x}),l=this.interpolator.interpolate(l,x,o.lng||this.language||c.usedLng,o),b){const g=l.match(this.interpolator.nestingRegexp),A=g&&g.length;vf?.[0]===g[0]&&!o.context?(this.logger.warn(`It seems you are nesting recursively key: ${g[0]} in key: ${r[0]}`),null):this.translate(...g,r),o)),o.interpolation&&this.interpolator.reset()}const m=o.postProcess||this.options.postProcess,h=se(m)?[m]:m;return l!=null&&h?.length&&o.applyPostProcessor!==!1&&(l=xg.handle(h,l,r,this.options&&this.options.postProcessPassResolved?{i18nResolved:{...c,usedParams:this.getUsedParamsDetails(o)},...o}:o,this)),l}resolve(l,r={}){let o,c,f,m,h;return se(l)&&(l=[l]),l.forEach(b=>{if(this.isValidLookup(o))return;const v=this.extractFromKey(b,r),x=v.key;c=x;let g=v.namespaces;this.options.fallbackNS&&(g=g.concat(this.options.fallbackNS));const A=r.count!==void 0&&!se(r.count),z=A&&!r.ordinal&&r.count===0,j=r.context!==void 0&&(se(r.context)||typeof r.context=="number")&&r.context!=="",B=r.lngs?r.lngs:this.languageUtils.toResolveHierarchy(r.lng||this.language,r.fallbackLng);g.forEach(K=>{this.isValidLookup(o)||(h=K,!Nm[`${B[0]}-${K}`]&&this.utils?.hasLoadedNamespace&&!this.utils?.hasLoadedNamespace(h)&&(Nm[`${B[0]}-${K}`]=!0,this.logger.warn(`key "${c}" for languages "${B.join(", ")}" won't get resolved as namespace "${h}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),B.forEach(U=>{if(this.isValidLookup(o))return;m=U;const Q=[x];if(this.i18nFormat?.addLookupKeys)this.i18nFormat.addLookupKeys(Q,x,U,K,r);else{let I;A&&(I=this.pluralResolver.getSuffix(U,r.count,r));const ee=`${this.options.pluralSeparator}zero`,J=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(A&&(r.ordinal&&I.indexOf(J)===0&&Q.push(x+I.replace(J,this.options.pluralSeparator)),Q.push(x+I),z&&Q.push(x+ee)),j){const X=`${x}${this.options.contextSeparator||"_"}${r.context}`;Q.push(X),A&&(r.ordinal&&I.indexOf(J)===0&&Q.push(X+I.replace(J,this.options.pluralSeparator)),Q.push(X+I),z&&Q.push(X+ee))}}let Z;for(;Z=Q.pop();)this.isValidLookup(o)||(f=Z,o=this.getResource(U,K,Z,r))}))})}),{res:o,usedKey:c,exactUsedKey:f,usedLng:m,usedNS:h}}isValidLookup(l){return l!==void 0&&!(!this.options.returnNull&&l===null)&&!(!this.options.returnEmptyString&&l==="")}getResource(l,r,o,c={}){return this.i18nFormat?.getResource?this.i18nFormat.getResource(l,r,o,c):this.resourceStore.getResource(l,r,o,c)}getUsedParamsDetails(l={}){const r=["defaultValue","ordinal","context","replace","lng","lngs","fallbackLng","ns","keySeparator","nsSeparator","returnObjects","returnDetails","joinArrays","postProcess","interpolation"],o=l.replace&&!se(l.replace);let c=o?l.replace:l;if(o&&typeof l.count<"u"&&(c.count=l.count),this.options.interpolation.defaultVariables&&(c={...this.options.interpolation.defaultVariables,...c}),!o){c={...c};for(const f of r)delete c[f]}return c}static hasDefaultValue(l){const r="defaultValue";for(const o in l)if(Object.prototype.hasOwnProperty.call(l,o)&&r===o.substring(0,r.length)&&l[o]!==void 0)return!0;return!1}}class Dm{constructor(l){this.options=l,this.supportedLngs=this.options.supportedLngs||!1,this.logger=fn.create("languageUtils")}getScriptPartFromCode(l){if(l=Li(l),!l||l.indexOf("-")<0)return null;const r=l.split("-");return r.length===2||(r.pop(),r[r.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(r.join("-"))}getLanguagePartFromCode(l){if(l=Li(l),!l||l.indexOf("-")<0)return l;const r=l.split("-");return this.formatLanguageCode(r[0])}formatLanguageCode(l){if(se(l)&&l.indexOf("-")>-1){let r;try{r=Intl.getCanonicalLocales(l)[0]}catch{}return r&&this.options.lowerCaseLng&&(r=r.toLowerCase()),r||(this.options.lowerCaseLng?l.toLowerCase():l)}return this.options.cleanCode||this.options.lowerCaseLng?l.toLowerCase():l}isSupportedCode(l){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(l=this.getLanguagePartFromCode(l)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(l)>-1}getBestMatchFromCodes(l){if(!l)return null;let r;return l.forEach(o=>{if(r)return;const c=this.formatLanguageCode(o);(!this.options.supportedLngs||this.isSupportedCode(c))&&(r=c)}),!r&&this.options.supportedLngs&&l.forEach(o=>{if(r)return;const c=this.getScriptPartFromCode(o);if(this.isSupportedCode(c))return r=c;const f=this.getLanguagePartFromCode(o);if(this.isSupportedCode(f))return r=f;r=this.options.supportedLngs.find(m=>{if(m===f)return m;if(!(m.indexOf("-")<0&&f.indexOf("-")<0)&&(m.indexOf("-")>0&&f.indexOf("-")<0&&m.substring(0,m.indexOf("-"))===f||m.indexOf(f)===0&&f.length>1))return m})}),r||(r=this.getFallbackCodes(this.options.fallbackLng)[0]),r}getFallbackCodes(l,r){if(!l)return[];if(typeof l=="function"&&(l=l(r)),se(l)&&(l=[l]),Array.isArray(l))return l;if(!r)return l.default||[];let o=l[r];return o||(o=l[this.getScriptPartFromCode(r)]),o||(o=l[this.formatLanguageCode(r)]),o||(o=l[this.getLanguagePartFromCode(r)]),o||(o=l.default),o||[]}toResolveHierarchy(l,r){const o=this.getFallbackCodes((r===!1?[]:r)||this.options.fallbackLng||[],l),c=[],f=m=>{m&&(this.isSupportedCode(m)?c.push(m):this.logger.warn(`rejecting language code not found in supportedLngs: ${m}`))};return se(l)&&(l.indexOf("-")>-1||l.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&f(this.formatLanguageCode(l)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&f(this.getScriptPartFromCode(l)),this.options.load!=="currentOnly"&&f(this.getLanguagePartFromCode(l))):se(l)&&f(this.formatLanguageCode(l)),o.forEach(m=>{c.indexOf(m)<0&&f(this.formatLanguageCode(m))}),c}}const Am={zero:0,one:1,two:2,few:3,many:4,other:5},wm={select:i=>i===1?"one":"other",resolvedOptions:()=>({pluralCategories:["one","other"]})};class X0{constructor(l,r={}){this.languageUtils=l,this.options=r,this.logger=fn.create("pluralResolver"),this.pluralRulesCache={}}clearCache(){this.pluralRulesCache={}}getRule(l,r={}){const o=Li(l==="dev"?"en":l),c=r.ordinal?"ordinal":"cardinal",f=JSON.stringify({cleanedCode:o,type:c});if(f in this.pluralRulesCache)return this.pluralRulesCache[f];let m;try{m=new Intl.PluralRules(o,{type:c})}catch{if(typeof Intl>"u")return this.logger.error("No Intl support, please use an Intl polyfill!"),wm;if(!l.match(/-|_/))return wm;const b=this.languageUtils.getLanguagePartFromCode(l);m=this.getRule(b,r)}return this.pluralRulesCache[f]=m,m}needsPlural(l,r={}){let o=this.getRule(l,r);return o||(o=this.getRule("dev",r)),o?.resolvedOptions().pluralCategories.length>1}getPluralFormsOfKey(l,r,o={}){return this.getSuffixes(l,o).map(c=>`${r}${c}`)}getSuffixes(l,r={}){let o=this.getRule(l,r);return o||(o=this.getRule("dev",r)),o?o.resolvedOptions().pluralCategories.sort((c,f)=>Am[c]-Am[f]).map(c=>`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${c}`):[]}getSuffix(l,r,o={}){const c=this.getRule(l,o);return c?`${this.options.prepend}${o.ordinal?`ordinal${this.options.prepend}`:""}${c.select(r)}`:(this.logger.warn(`no plural rule found for: ${l}`),this.getSuffix("dev",r,o))}}const Rm=(i,l,r,o=".",c=!0)=>{let f=B0(i,l,r);return!f&&c&&se(r)&&(f=nc(i,r,o),f===void 0&&(f=nc(l,r,o))),f},Ku=i=>i.replace(/\$/g,"$$$$");class zm{constructor(l={}){this.logger=fn.create("interpolator"),this.options=l,this.format=l?.interpolation?.format||(r=>r),this.init(l)}init(l={}){l.interpolation||(l.interpolation={escapeValue:!0});const{escape:r,escapeValue:o,useRawValueToEscape:c,prefix:f,prefixEscaped:m,suffix:h,suffixEscaped:b,formatSeparator:v,unescapeSuffix:x,unescapePrefix:g,nestingPrefix:A,nestingPrefixEscaped:z,nestingSuffix:j,nestingSuffixEscaped:B,nestingOptionsSeparator:K,maxReplaces:U,alwaysFormat:Q}=l.interpolation;this.escape=r!==void 0?r:q0,this.escapeValue=o!==void 0?o:!0,this.useRawValueToEscape=c!==void 0?c:!1,this.prefix=f?_a(f):m||"{{",this.suffix=h?_a(h):b||"}}",this.formatSeparator=v||",",this.unescapePrefix=x?"":g||"-",this.unescapeSuffix=this.unescapePrefix?"":x||"",this.nestingPrefix=A?_a(A):z||_a("$t("),this.nestingSuffix=j?_a(j):B||_a(")"),this.nestingOptionsSeparator=K||",",this.maxReplaces=U||1e3,this.alwaysFormat=Q!==void 0?Q:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const l=(r,o)=>r?.source===o?(r.lastIndex=0,r):new RegExp(o,"g");this.regexp=l(this.regexp,`${this.prefix}(.+?)${this.suffix}`),this.regexpUnescape=l(this.regexpUnescape,`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`),this.nestingRegexp=l(this.nestingRegexp,`${this.nestingPrefix}((?:[^()"']+|"[^"]*"|'[^']*'|\\((?:[^()]|"[^"]*"|'[^']*')*\\))*?)${this.nestingSuffix}`)}interpolate(l,r,o,c){let f,m,h;const b=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{},v=z=>{if(z.indexOf(this.formatSeparator)<0){const U=Rm(r,b,z,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(U,void 0,o,{...c,...r,interpolationkey:z}):U}const j=z.split(this.formatSeparator),B=j.shift().trim(),K=j.join(this.formatSeparator).trim();return this.format(Rm(r,b,B,this.options.keySeparator,this.options.ignoreJSONStructure),K,o,{...c,...r,interpolationkey:B})};this.resetRegExp();const x=c?.missingInterpolationHandler||this.options.missingInterpolationHandler,g=c?.interpolation?.skipOnVariables!==void 0?c.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:z=>Ku(z)},{regex:this.regexp,safeValue:z=>this.escapeValue?Ku(this.escape(z)):Ku(z)}].forEach(z=>{for(h=0;f=z.regex.exec(l);){const j=f[1].trim();if(m=v(j),m===void 0)if(typeof x=="function"){const K=x(l,f,c);m=se(K)?K:""}else if(c&&Object.prototype.hasOwnProperty.call(c,j))m="";else if(g){m=f[0];continue}else this.logger.warn(`missed to pass in variable ${j} for interpolating ${l}`),m="";else!se(m)&&!this.useRawValueToEscape&&(m=xm(m));const 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m(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:l,ns:r,fcName:o,tried:c,wait:f,callback:m});return}this.readingCalls++;const h=(v,x)=>{if(this.readingCalls--,this.waitingReads.length>0){const g=this.waitingReads.shift();this.read(g.lng,g.ns,g.fcName,g.tried,g.wait,g.callback)}if(v&&x&&c{this.read.call(this,l,r,o,c+1,f*2,m)},f);return}m(v,x)},b=this.backend[o].bind(this.backend);if(b.length===2){try{const v=b(l,r);v&&typeof v.then=="function"?v.then(x=>h(null,x)).catch(h):h(null,v)}catch(v){h(v)}return}return b(l,r,h)}prepareLoading(l,r,o={},c){if(!this.backend)return this.logger.warn("No backend was added via i18next.use. Will not load resources."),c&&c();se(l)&&(l=this.languageUtils.toResolveHierarchy(l)),se(r)&&(r=[r]);const f=this.queueLoad(l,r,o,c);if(!f.toLoad.length)return f.pending.length||c(),null;f.toLoad.forEach(m=>{this.loadOne(m)})}load(l,r,o){this.prepareLoading(l,r,{},o)}reload(l,r,o){this.prepareLoading(l,r,{reload:!0},o)}loadOne(l,r=""){const o=l.split("|"),c=o[0],f=o[1];this.read(c,f,"read",void 0,void 0,(m,h)=>{m&&this.logger.warn(`${r}loading namespace ${f} for language ${c} failed`,m),!m&&h&&this.logger.log(`${r}loaded namespace ${f} for language ${c}`,h),this.loaded(l,m,h)})}saveMissing(l,r,o,c,f,m={},h=()=>{}){if(this.services?.utils?.hasLoadedNamespace&&!this.services?.utils?.hasLoadedNamespace(r)){this.logger.warn(`did not save key "${o}" as the namespace "${r}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(o==null||o==="")){if(this.backend?.create){const b={...m,isUpdate:f},v=this.backend.create.bind(this.backend);if(v.length<6)try{let x;v.length===5?x=v(l,r,o,c,b):x=v(l,r,o,c),x&&typeof x.then=="function"?x.then(g=>h(null,g)).catch(h):h(null,x)}catch(x){h(x)}else v(l,r,o,c,h,b)}!l||!l[0]||this.store.addResource(l[0],r,o,c)}}}const 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l},interpolation:{escapeValue:!0,format:i=>i,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0},cacheInBuiltFormats:!0}),_m=i=>(se(i.ns)&&(i.ns=[i.ns]),se(i.fallbackLng)&&(i.fallbackLng=[i.fallbackLng]),se(i.fallbackNS)&&(i.fallbackNS=[i.fallbackNS]),i.supportedLngs?.indexOf?.("cimode")<0&&(i.supportedLngs=i.supportedLngs.concat(["cimode"])),typeof i.initImmediate=="boolean"&&(i.initAsync=i.initImmediate),i),ar=()=>{},I0=i=>{Object.getOwnPropertyNames(Object.getPrototypeOf(i)).forEach(r=>{typeof i[r]=="function"&&(i[r]=i[r].bind(i))})},Tg="__i18next_supportNoticeShown",P0=()=>typeof globalThis<"u"&&!!globalThis[Tg],eb=()=>{typeof globalThis<"u"&&(globalThis[Tg]=!0)},tb=i=>!!(i?.modules?.backend?.name?.indexOf("Locize")>0||i?.modules?.backend?.constructor?.name?.indexOf("Locize")>0||i?.options?.backend?.backends&&i.options.backend.backends.some(l=>l?.name?.indexOf("Locize")>0||l?.constructor?.name?.indexOf("Locize")>0)||i?.options?.backend?.projectId||i?.options?.backend?.backendOptions&&i.options.backend.backendOptions.some(l=>l?.projectId));class _i extends Sr{constructor(l={},r){if(super(),this.options=_m(l),this.services={},this.logger=fn,this.modules={external:[]},I0(this),r&&!this.isInitialized&&!l.isClone){if(!this.options.initAsync)return this.init(l,r),this;setTimeout(()=>{this.init(l,r)},0)}}init(l={},r){this.isInitializing=!0,typeof l=="function"&&(r=l,l={}),l.defaultNS==null&&l.ns&&(se(l.ns)?l.defaultNS=l.ns:l.ns.indexOf("translation")<0&&(l.defaultNS=l.ns[0]));const o=Gu();this.options={...o,...this.options,..._m(l)},this.options.interpolation={...o.interpolation,...this.options.interpolation},l.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=l.keySeparator),l.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=l.nsSeparator),typeof this.options.overloadTranslationOptionHandler!="function"&&(this.options.overloadTranslationOptionHandler=o.overloadTranslationOptionHandler),this.options.showSupportNotice!==!1&&!tb(this)&&!P0()&&(typeof console<"u"&&typeof console.info<"u"&&console.info("🌐 i18next is maintained with support from Locize — consider powering your project with managed localization (AI, CDN, integrations): https://locize.com 💙"),eb());const c=v=>v?typeof v=="function"?new v:v:null;if(!this.options.isClone){this.modules.logger?fn.init(c(this.modules.logger),this.options):fn.init(null,this.options);let v;this.modules.formatter?v=this.modules.formatter:v=J0;const x=new Dm(this.options);this.store=new Cm(this.options.resources,this.options);const g=this.services;g.logger=fn,g.resourceStore=this.store,g.languageUtils=x,g.pluralResolver=new X0(x,{prepend:this.options.pluralSeparator,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),this.options.interpolation.format&&this.options.interpolation.format!==o.interpolation.format&&this.logger.deprecate("init: you are still using the legacy format function, please use the new approach: https://www.i18next.com/translation-function/formatting"),v&&(!this.options.interpolation.format||this.options.interpolation.format===o.interpolation.format)&&(g.formatter=c(v),g.formatter.init&&g.formatter.init(g,this.options),this.options.interpolation.format=g.formatter.format.bind(g.formatter)),g.interpolator=new zm(this.options),g.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},g.backendConnector=new W0(c(this.modules.backend),g.resourceStore,g,this.options),g.backendConnector.on("*",(z,...j)=>{this.emit(z,...j)}),this.modules.languageDetector&&(g.languageDetector=c(this.modules.languageDetector),g.languageDetector.init&&g.languageDetector.init(g,this.options.detection,this.options)),this.modules.i18nFormat&&(g.i18nFormat=c(this.modules.i18nFormat),g.i18nFormat.init&&g.i18nFormat.init(this)),this.translator=new pr(this.services,this.options),this.translator.on("*",(z,...j)=>{this.emit(z,...j)}),this.modules.external.forEach(z=>{z.init&&z.init(this)})}if(this.format=this.options.interpolation.format,r||(r=ar),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const v=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);v.length>0&&v[0]!=="dev"&&(this.options.lng=v[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is defined"),["getResource","hasResourceBundle","getResourceBundle","getDataByLanguage"].forEach(v=>{this[v]=(...x)=>this.store[v](...x)}),["addResource","addResources","addResourceBundle","removeResourceBundle"].forEach(v=>{this[v]=(...x)=>(this.store[v](...x),this)});const h=Ri(),b=()=>{const v=(x,g)=>{this.isInitializing=!1,this.isInitialized&&!this.initializedStoreOnce&&this.logger.warn("init: i18next is already initialized. You should call init just once!"),this.isInitialized=!0,this.options.isClone||this.logger.log("initialized",this.options),this.emit("initialized",this.options),h.resolve(g),r(x,g)};if(this.languages&&!this.isInitialized)return v(null,this.t.bind(this));this.changeLanguage(this.options.lng,v)};return this.options.resources||!this.options.initAsync?b():setTimeout(b,0),h}loadResources(l,r=ar){let o=r;const c=se(l)?l:this.language;if(typeof l=="function"&&(o=l),!this.options.resources||this.options.partialBundledLanguages){if(c?.toLowerCase()==="cimode"&&(!this.options.preload||this.options.preload.length===0))return o();const f=[],m=h=>{if(!h||h==="cimode")return;this.services.languageUtils.toResolveHierarchy(h).forEach(v=>{v!=="cimode"&&f.indexOf(v)<0&&f.push(v)})};c?m(c):this.services.languageUtils.getFallbackCodes(this.options.fallbackLng).forEach(b=>m(b)),this.options.preload?.forEach?.(h=>m(h)),this.services.backendConnector.load(f,this.options.ns,h=>{!h&&!this.resolvedLanguage&&this.language&&this.setResolvedLanguage(this.language),o(h)})}else o(null)}reloadResources(l,r,o){const c=Ri();return typeof l=="function"&&(o=l,l=void 0),typeof r=="function"&&(o=r,r=void 0),l||(l=this.languages),r||(r=this.options.ns),o||(o=ar),this.services.backendConnector.reload(l,r,f=>{c.resolve(),o(f)}),c}use(l){if(!l)throw new Error("You are passing an undefined module! Please check the object you are passing to i18next.use()");if(!l.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return l.type==="backend"&&(this.modules.backend=l),(l.type==="logger"||l.log&&l.warn&&l.error)&&(this.modules.logger=l),l.type==="languageDetector"&&(this.modules.languageDetector=l),l.type==="i18nFormat"&&(this.modules.i18nFormat=l),l.type==="postProcessor"&&xg.addPostProcessor(l),l.type==="formatter"&&(this.modules.formatter=l),l.type==="3rdParty"&&this.modules.external.push(l),this}setResolvedLanguage(l){if(!(!l||!this.languages)&&!(["cimode","dev"].indexOf(l)>-1)){for(let r=0;r-1)&&this.store.hasLanguageSomeTranslations(o)){this.resolvedLanguage=o;break}}!this.resolvedLanguage&&this.languages.indexOf(l)<0&&this.store.hasLanguageSomeTranslations(l)&&(this.resolvedLanguage=l,this.languages.unshift(l))}}changeLanguage(l,r){this.isLanguageChangingTo=l;const o=Ri();this.emit("languageChanging",l);const c=h=>{this.language=h,this.languages=this.services.languageUtils.toResolveHierarchy(h),this.resolvedLanguage=void 0,this.setResolvedLanguage(h)},f=(h,b)=>{b?this.isLanguageChangingTo===l&&(c(b),this.translator.changeLanguage(b),this.isLanguageChangingTo=void 0,this.emit("languageChanged",b),this.logger.log("languageChanged",b)):this.isLanguageChangingTo=void 0,o.resolve((...v)=>this.t(...v)),r&&r(h,(...v)=>this.t(...v))},m=h=>{!l&&!h&&this.services.languageDetector&&(h=[]);const 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--tw-backdrop-opacity{syntax:"*";inherits:false}@property --tw-backdrop-saturate{syntax:"*";inherits:false}@property --tw-backdrop-sepia{syntax:"*";inherits:false}@property --tw-duration{syntax:"*";inherits:false}@property --tw-divide-x-reverse{syntax:"*";inherits:false;initial-value:0}@keyframes spin{to{transform:rotate(360deg)}}@keyframes pulse{50%{opacity:.5}} diff --git a/src/surreal_memory/server/static/dist/assets/skeleton-CBW-y0cP.js b/src/surreal_memory/server/static/dist/assets/skeleton-gKUrR2fT.js similarity index 69% rename from src/surreal_memory/server/static/dist/assets/skeleton-CBW-y0cP.js rename to src/surreal_memory/server/static/dist/assets/skeleton-gKUrR2fT.js index 86c11f0d..446329a6 100644 --- a/src/surreal_memory/server/static/dist/assets/skeleton-CBW-y0cP.js +++ b/src/surreal_memory/server/static/dist/assets/skeleton-gKUrR2fT.js @@ -1 +1 @@ -import{j as m}from"./vendor-query-CqA1cBNl.js";import{E as o}from"./index-DXL5wCpD.js";function n({className:e,...t}){return m.jsx("div",{className:o("animate-pulse rounded-md bg-muted",e),...t})}export{n as S}; +import{j as m}from"./vendor-query-CqA1cBNl.js";import{E as o}from"./index-CLb-kMYl.js";function n({className:e,...t}){return m.jsx("div",{className:o("animate-pulse rounded-md bg-muted",e),...t})}export{n as S}; diff --git a/src/surreal_memory/server/static/dist/index.html b/src/surreal_memory/server/static/dist/index.html index 30b72795..1e2dbee6 100644 --- a/src/surreal_memory/server/static/dist/index.html +++ b/src/surreal_memory/server/static/dist/index.html @@ -5,13 +5,13 @@ dashboard - + - +
diff --git a/src/surreal_memory/unified_config.py b/src/surreal_memory/unified_config.py index 7f6be427..7cf5c703 100755 --- a/src/surreal_memory/unified_config.py +++ b/src/surreal_memory/unified_config.py @@ -1090,6 +1090,10 @@ def _sanitize_toml_glob(value: str) -> str: "data-analysis", ) +# Model-name / glob shape for reasoning config keys — mirrors the route's +# _validate_model_name so config-level and API-level validation agree. +_REASONING_MODEL_NAME_RE = re.compile(r"^[A-Za-z0-9._*?-]{1,128}$") + @dataclass(frozen=True) class ReasoningTrainingConfig: @@ -1109,19 +1113,22 @@ class ReasoningTrainingConfig: injection_map: tuple[tuple[str, str], ...] = () categories: tuple[str, ...] = _DEFAULT_REASONING_CATEGORIES min_trace_chars: int = 200 - max_trace_chars: int = 20_000 - max_traces_per_scan: int = 500 + max_trace_chars: int = 100_000 scan_lookback_days: int = 30 # 0 = full backfill retention_days: int = 90 max_traces_total: int = 20_000 min_cluster_support: int = 3 - max_patterns_per_run: int = 10 min_confidence: float = 0.2 min_patterns_per_category: int = 3 injection_max_patterns: int = 5 injection_max_chars: int = 4000 distill_use_llm: bool = False redact_secrets: bool = True + # Per-model distillation targets: model name -> desired pattern count (0-100). + # An unlisted model defaults to 0 → distillation is skipped for it (the + # preliminary Mine only DETECTS models; a UI slider raises a target to + # actually distill). Mutable default, but the config is loaded read-only. + pattern_targets: dict[str, int] = field(default_factory=dict) def to_dict(self) -> dict[str, Any]: return { @@ -1132,18 +1139,17 @@ def to_dict(self) -> dict[str, Any]: "categories": list(self.categories), "min_trace_chars": self.min_trace_chars, "max_trace_chars": self.max_trace_chars, - "max_traces_per_scan": self.max_traces_per_scan, "scan_lookback_days": self.scan_lookback_days, "retention_days": self.retention_days, "max_traces_total": self.max_traces_total, "min_cluster_support": self.min_cluster_support, - "max_patterns_per_run": self.max_patterns_per_run, "min_confidence": self.min_confidence, "min_patterns_per_category": self.min_patterns_per_category, "injection_max_patterns": self.injection_max_patterns, "injection_max_chars": self.injection_max_chars, "distill_use_llm": self.distill_use_llm, "redact_secrets": self.redact_secrets, + "pattern_targets": dict(self.pattern_targets), } @classmethod @@ -1185,6 +1191,22 @@ def _int(key: str, default: int, lo: int, hi: int) -> int: except (ValueError, TypeError): min_confidence = 0.2 + # Per-model pattern targets: {model: 0..100}. Keys must be model-name + # shaped (bad keys skipped, not fatal — this loads from disk); values + # clamp to 0..100. Legacy keys like max_patterns_per_run are ignored + # simply by never being read here. + targets_raw = data.get("pattern_targets", {}) + pattern_targets: dict[str, int] = {} + if isinstance(targets_raw, dict): + for model, count in targets_raw.items(): + name = str(model).strip() + if not name or not _REASONING_MODEL_NAME_RE.match(name): + continue + try: + pattern_targets[name[:128]] = max(0, min(int(count), 100)) + except (ValueError, TypeError): + continue + return cls( mining_enabled=bool(data.get("mining_enabled", False)), injection_enabled=bool(data.get("injection_enabled", False)), @@ -1192,19 +1214,18 @@ def _int(key: str, default: int, lo: int, hi: int) -> int: injection_map=tuple(injection_pairs), categories=categories, min_trace_chars=_int("min_trace_chars", 200, 0, 1_000_000), - max_trace_chars=_int("max_trace_chars", 20_000, 1, 10_000_000), - max_traces_per_scan=_int("max_traces_per_scan", 500, 1, 1_000_000), + max_trace_chars=_int("max_trace_chars", 100_000, 1, 10_000_000), scan_lookback_days=_int("scan_lookback_days", 30, 0, 100_000), retention_days=_int("retention_days", 90, 1, 100_000), max_traces_total=_int("max_traces_total", 20_000, 1, 100_000_000), min_cluster_support=_int("min_cluster_support", 3, 1, 100_000), - max_patterns_per_run=_int("max_patterns_per_run", 10, 1, 100_000), min_confidence=min_confidence, min_patterns_per_category=_int("min_patterns_per_category", 3, 1, 100_000), injection_max_patterns=_int("injection_max_patterns", 5, 1, 1000), injection_max_chars=_int("injection_max_chars", 4000, 1, 1_000_000), distill_use_llm=bool(data.get("distill_use_llm", False)), redact_secrets=bool(data.get("redact_secrets", True)), + pattern_targets=pattern_targets, ) @@ -1773,12 +1794,10 @@ def _reasoning_toml_lines(self) -> list[str]: f"categories = [{cats}]", f"min_trace_chars = {rt.min_trace_chars}", f"max_trace_chars = {rt.max_trace_chars}", - f"max_traces_per_scan = {rt.max_traces_per_scan}", f"scan_lookback_days = {rt.scan_lookback_days}", f"retention_days = {rt.retention_days}", f"max_traces_total = {rt.max_traces_total}", f"min_cluster_support = {rt.min_cluster_support}", - f"max_patterns_per_run = {rt.max_patterns_per_run}", f"min_confidence = {rt.min_confidence}", f"min_patterns_per_category = {rt.min_patterns_per_category}", f"injection_max_patterns = {rt.injection_max_patterns}", @@ -1792,6 +1811,12 @@ def _reasoning_toml_lines(self) -> list[str]: gv = _sanitize_toml_glob(source) if gk and gv: lines.append(f'"{gk}" = "{gv}"') + # Per-model pattern targets subtable (model = 0..100). Empty is fine. + lines.append("[reasoning_training.pattern_targets]") + for model, count in rt.pattern_targets.items(): + gk = _sanitize_toml_glob(model) + if gk: + lines.append(f'"{gk}" = {int(count)}') return lines def save(self) -> None: diff --git a/tests/unit/test_cli_reasoning.py b/tests/unit/test_cli_reasoning.py index bc3b4f97..0257239f 100644 --- a/tests/unit/test_cli_reasoning.py +++ b/tests/unit/test_cli_reasoning.py @@ -142,8 +142,9 @@ def test_mine_disabled_exits_nonzero(tmp_path: Path) -> None: def test_mine_runs_when_enabled(tmp_path: Path) -> None: storage = _storage() - ingest = SimpleNamespace(traces_ingested=4, traces_scanned=10) + ingest = SimpleNamespace(traces_ingested=4, traces_scanned=10, files_scanned=3, files_total=3) distill = SimpleNamespace(patterns_learned=2, traces_processed=4, models_seen=1) + ingest_mock = AsyncMock(return_value=ingest) with ( patch(f"{CLI}.get_config", MagicMock()), patch(f"{CLI}.get_storage", new=AsyncMock(return_value=storage)), @@ -151,10 +152,7 @@ def test_mine_runs_when_enabled(tmp_path: Path) -> None: "surreal_memory.unified_config.get_config", return_value=_ucfg(tmp_path, mining_enabled=True), ), - patch( - "surreal_memory.engine.reasoning_miner.ingest_reasoning_traces", - new=AsyncMock(return_value=ingest), - ), + patch("surreal_memory.engine.reasoning_miner.ingest_reasoning_traces", new=ingest_mock), patch( "surreal_memory.engine.reasoning_distiller.distill_reasoning_patterns", new=AsyncMock(return_value=distill), @@ -166,6 +164,8 @@ def test_mine_runs_when_enabled(tmp_path: Path) -> None: data = json.loads(result.output) assert data["traces_ingested"] == 4 assert data["patterns_learned"] == 2 + # No --backfill flag → backfill must default to False (never a silent full rescan). + assert ingest_mock.await_args.kwargs["backfill"] is False def test_mine_dry_run(tmp_path: Path) -> None: @@ -189,7 +189,7 @@ def test_mine_dry_run(tmp_path: Path) -> None: def test_mine_force_bypasses_disabled(tmp_path: Path) -> None: # --force runs mining even when mining_enabled is False (the privacy escape hatch). storage = _storage() - ingest = SimpleNamespace(traces_ingested=1, traces_scanned=1) + ingest = SimpleNamespace(traces_ingested=1, traces_scanned=1, files_scanned=1, files_total=1) distill = SimpleNamespace(patterns_learned=0, traces_processed=1, models_seen=1) with ( patch(f"{CLI}.get_config", MagicMock()), @@ -213,7 +213,11 @@ def test_mine_force_bypasses_disabled(tmp_path: Path) -> None: def test_mine_applies_overrides(tmp_path: Path) -> None: # --backfill + --models must flow into the run config passed to the engine. storage = _storage() - ingest_mock = AsyncMock(return_value=SimpleNamespace(traces_ingested=1, traces_scanned=1)) + ingest_mock = AsyncMock( + return_value=SimpleNamespace( + traces_ingested=1, traces_scanned=1, files_scanned=1, files_total=1 + ) + ) distill_mock = AsyncMock( return_value=SimpleNamespace(patterns_learned=0, traces_processed=1, models_seen=1) ) @@ -237,3 +241,6 @@ def test_mine_applies_overrides(tmp_path: Path) -> None: run_cfg = ingest_mock.await_args.args[2] # (storage, brain_id, config) assert run_cfg.reasoning_training.scan_lookback_days == 0 assert run_cfg.reasoning_training.mining_models == ("a", "b") + # --backfill must also flow as the real backfill kwarg (full-rescan bypass), + # not just the scan_lookback_days=0 override. + assert ingest_mock.await_args.kwargs["backfill"] is True diff --git a/tests/unit/test_health_fixes.py b/tests/unit/test_health_fixes.py index f6a4bd82..6b7f0550 100755 --- a/tests/unit/test_health_fixes.py +++ b/tests/unit/test_health_fixes.py @@ -485,7 +485,7 @@ class TestVersionBump: def test_version_is_current(self) -> None: import surreal_memory - assert surreal_memory.__version__ == "2.12.1" + assert surreal_memory.__version__ == "2.13.0" class TestPackageIntegrity: diff --git a/tests/unit/test_mcp_reasoning.py b/tests/unit/test_mcp_reasoning.py index fd6c2951..91a362c8 100644 --- a/tests/unit/test_mcp_reasoning.py +++ b/tests/unit/test_mcp_reasoning.py @@ -126,8 +126,9 @@ async def test_reasoning_mine_disabled(tmp_path: Path) -> None: async def test_reasoning_mine_runs(tmp_path: Path) -> None: server = _make_server(tmp_path, mining_enabled=True) storage = _storage() - ingest = SimpleNamespace(traces_ingested=4, traces_scanned=10) + ingest = SimpleNamespace(traces_ingested=4, traces_scanned=10, files_scanned=3, files_total=3) distill = SimpleNamespace(patterns_learned=2, traces_processed=4, models_seen=1) + ingest_mock = AsyncMock(return_value=ingest) with ( patch.object(server, "get_storage", return_value=storage), # mine runs on an isolated (non-cached) storage to avoid the shared-singleton race. @@ -135,10 +136,7 @@ async def test_reasoning_mine_runs(tmp_path: Path) -> None: "surreal_memory.unified_config.create_isolated_storage", new=AsyncMock(return_value=storage), ), - patch( - "surreal_memory.engine.reasoning_miner.ingest_reasoning_traces", - new=AsyncMock(return_value=ingest), - ), + patch("surreal_memory.engine.reasoning_miner.ingest_reasoning_traces", new=ingest_mock), patch( "surreal_memory.engine.reasoning_distiller.distill_reasoning_patterns", new=AsyncMock(return_value=distill), @@ -148,6 +146,8 @@ async def test_reasoning_mine_runs(tmp_path: Path) -> None: assert result["traces_ingested"] == 4 assert result["patterns_learned"] == 2 + # No backfill arg → backfill must default to False (never a silent full rescan). + assert ingest_mock.await_args.kwargs["backfill"] is False @pytest.mark.asyncio @@ -155,7 +155,11 @@ async def test_reasoning_mine_applies_overrides(tmp_path: Path) -> None: # backfill + models must flow into the run config passed to the engine. server = _make_server(tmp_path, mining_enabled=True) storage = _storage() - ingest_mock = AsyncMock(return_value=SimpleNamespace(traces_ingested=1, traces_scanned=1)) + ingest_mock = AsyncMock( + return_value=SimpleNamespace( + traces_ingested=1, traces_scanned=1, files_scanned=1, files_total=1 + ) + ) distill_mock = AsyncMock( return_value=SimpleNamespace(patterns_learned=0, traces_processed=1, models_seen=1) ) @@ -177,6 +181,9 @@ async def test_reasoning_mine_applies_overrides(tmp_path: Path) -> None: run_cfg = ingest_mock.await_args.args[2] # (storage, brain_id, config) assert run_cfg.reasoning_training.scan_lookback_days == 0 assert run_cfg.reasoning_training.mining_models == ("a", "b") + # backfill must also flow as the real backfill kwarg (full-rescan bypass), + # not just the scan_lookback_days=0 override. + assert ingest_mock.await_args.kwargs["backfill"] is True @pytest.mark.asyncio diff --git a/tests/unit/test_reasoning_distiller.py b/tests/unit/test_reasoning_distiller.py index fd3a1adc..a9e81479 100644 --- a/tests/unit/test_reasoning_distiller.py +++ b/tests/unit/test_reasoning_distiller.py @@ -38,7 +38,9 @@ def _ucfg(tmp_path: Path, **rt_kw: object) -> UnifiedConfig: "min_cluster_support": 2, "min_patterns_per_category": 1, "min_confidence": 0.2, - "max_patterns_per_run": 10, + # Generous per-model targets so the existing fixtures (which create at + # most a couple of patterns) distill freely; individual tests override. + "pattern_targets": {"claude-fable-5": 100, "claude-sonnet-5": 100}, } base.update(rt_kw) return UnifiedConfig( @@ -72,6 +74,17 @@ async def _seed(storage: InMemoryStorage, model: str, contents: list[str]) -> No "I need to resolve it. Let me check the failing traceback. I verify the error.", ] +# Three 2-trace clusters with DISTINCT move-sets (→ distinct signatures), ordered +# so a small per-model batch fetches one cluster at a time. +_THREE_CLUSTERS = [ + "I need to fix the bug. Let me check the error traceback. I verify it.", + "I need to fix the bug. Let me check the error traceback. I verify it.", + "What if the edge case is null? Actually, wait, let me reconsider the boundary.", + "What if the edge case is null? Actually, wait, let me reconsider the boundary.", + "My plan: step 1 decompose the problem. Compare option A versus option B.", + "My plan: step 1 decompose the problem. Compare option A versus option B.", +] + def test_segment_moves_detects_closed_vocab() -> None: moves = segment_moves("I need to fix it. Let me check the logs. Then I verify the result.") @@ -270,11 +283,11 @@ async def test_cap_marks_only_consumed_traces(tmp_path: Path, no_embedder: None) ) await _seed(storage, "claude-fable-5", contents) result = await distill_reasoning_patterns( - storage, BRAIN, _ucfg(tmp_path, max_patterns_per_run=2) + storage, BRAIN, _ucfg(tmp_path, pattern_targets={"claude-fable-5": 2}) ) assert result.patterns_learned == 2 # Only the 2 fully-clustered categories are marked processed; the 2 categories - # the cap never reached keep their traces for the next run (no silent loss). + # the budget never reached keep their traces for the next run (no silent loss). assert result.traces_processed == 4 remaining = await storage.get_unprocessed_reasoning_traces( BRAIN, model="claude-fable-5", limit=100 @@ -302,6 +315,99 @@ async def test_distinct_clusters_same_top_moves_not_dropped( assert len({f.metadata["_reasoning_signature"] for f in fibers}) == 2 +# ── Per-model pattern targets (sliders) ────────────────────────────────────── + + +async def test_target_zero_skips_model_and_leaves_traces(tmp_path: Path, no_embedder: None) -> None: + # With no target set for the model (default 0), distillation is skipped and + # its traces stay UNPROCESSED — a preliminary Mine only detects models. + storage = InMemoryStorage() + storage.set_brain(BRAIN) + await _seed(storage, "claude-fable-5", _DEBUG_TRACES) + cfg = _ucfg(tmp_path, pattern_targets={}) + result = await distill_reasoning_patterns(storage, BRAIN, cfg, drain=True) + assert result.patterns_learned == 0 + remaining = await storage.get_unprocessed_reasoning_traces(BRAIN, model="claude-fable-5") + assert len(remaining) == len(_DEBUG_TRACES) # untouched, not marked processed + + +async def test_existing_patterns_count_toward_budget_and_raising_distills_remainder( + tmp_path: Path, no_embedder: None +) -> None: + storage = InMemoryStorage() + storage.set_brain(BRAIN) + await _seed(storage, "claude-fable-5", _THREE_CLUSTERS) + # First run: target 1 → only the first cluster distills (budget 1); the rest + # stay unprocessed. + run1 = await distill_reasoning_patterns( + storage, BRAIN, _ucfg(tmp_path, pattern_targets={"claude-fable-5": 1}), drain=True + ) + assert run1.patterns_learned == 1 + # Raise the target to 3: 1 already exists → budget 2 → the 2 remaining + # clusters distill (raising a target picks up exactly the remainder). + run2 = await distill_reasoning_patterns( + storage, BRAIN, _ucfg(tmp_path, pattern_targets={"claude-fable-5": 3}), drain=True + ) + assert run2.patterns_learned == 2 + fibers = await storage.find_fibers(metadata_key="_reasoning_pattern", limit=100) + assert len(fibers) == 3 + + +async def test_drain_clears_backlog_across_multiple_fetches( + tmp_path: Path, no_embedder: None, monkeypatch: pytest.MonkeyPatch +) -> None: + # A tiny per-model batch forces the drain loop to fetch more than twice. + monkeypatch.setattr("surreal_memory.engine.reasoning_distiller._BATCH_PER_MODEL", 2) + storage = InMemoryStorage() + storage.set_brain(BRAIN) + await _seed(storage, "claude-fable-5", _THREE_CLUSTERS) # 3 clusters, batch=2 + result = await distill_reasoning_patterns( + storage, BRAIN, _ucfg(tmp_path, pattern_targets={"claude-fable-5": 100}), drain=True + ) + assert result.patterns_learned == 3 # all three clusters drained (3 fetches) + remaining = await storage.get_unprocessed_reasoning_traces(BRAIN, model="claude-fable-5") + assert remaining == [] + + +async def test_background_run_processes_one_batch_per_model( + tmp_path: Path, no_embedder: None, monkeypatch: pytest.MonkeyPatch +) -> None: + # drain=False (background consolidation) does ONE batch per model per run + # even with a large budget and a bigger backlog. + monkeypatch.setattr("surreal_memory.engine.reasoning_distiller._BATCH_PER_MODEL", 2) + storage = InMemoryStorage() + storage.set_brain(BRAIN) + await _seed(storage, "claude-fable-5", _THREE_CLUSTERS) + result = await distill_reasoning_patterns( + storage, BRAIN, _ucfg(tmp_path, pattern_targets={"claude-fable-5": 100}) + ) + assert result.patterns_learned == 1 # only the first batch this run + remaining = await storage.get_unprocessed_reasoning_traces( + BRAIN, model="claude-fable-5", limit=100 + ) + assert len(remaining) == 4 + + +async def test_drain_terminates_when_a_batch_makes_no_progress( + tmp_path: Path, no_embedder: None, monkeypatch: pytest.MonkeyPatch +) -> None: + # If a batch consumes nothing (pathological no-forward-progress), the drain + # loop must break rather than re-fetch the same traces forever. + async def _no_progress(*_a: object, **_k: object) -> tuple[int, list[object]]: + return 0, [] + + monkeypatch.setattr( + "surreal_memory.engine.reasoning_distiller._process_model_batch", _no_progress + ) + storage = InMemoryStorage() + storage.set_brain(BRAIN) + await _seed(storage, "claude-fable-5", _DEBUG_TRACES) + result = await distill_reasoning_patterns( + storage, BRAIN, _ucfg(tmp_path, pattern_targets={"claude-fable-5": 100}), drain=True + ) + assert result.patterns_learned == 0 # terminated without hanging + + # ── Consolidation LEARN_REASONING handler ──────────────────────────────────── diff --git a/tests/unit/test_reasoning_miner.py b/tests/unit/test_reasoning_miner.py index bd6451c4..df637491 100644 --- a/tests/unit/test_reasoning_miner.py +++ b/tests/unit/test_reasoning_miner.py @@ -2,7 +2,8 @@ Uses synthetic JSONL transcript fixtures under a temporary ``.claude`` dir (no real thinking text). Covers dedup, model glob filter, truncation, ```` -and opus (empty/denylisted) skipping, min-length gating, secret redaction, +skipping (opus-4-8 is no longer denylisted — it IS mined), min-length gating, +secret redaction, task_context capture, model normalization, incremental scan-state, and the async ingest path against InMemoryStorage. """ @@ -12,12 +13,16 @@ import json from datetime import UTC, datetime from pathlib import Path +from typing import Any + +import pytest from surreal_memory.engine.reasoning_miner import ( ingest_reasoning_traces, normalize_model, scan_transcripts, ) +from surreal_memory.engine.reasoning_progress import MiningProgress from surreal_memory.storage.memory_store import InMemoryStorage from surreal_memory.unified_config import ReasoningTrainingConfig, UnifiedConfig @@ -136,6 +141,40 @@ def test_incremental_state_rescans_changed(tmp_path: Path) -> None: assert "second reasoning" in traces[0]["content"] +def test_backfill_bypasses_unchanged_skip(tmp_path: Path) -> None: + # A normal scan skips a file whose size+mtime are unchanged since the + # last scan (see test_incremental_state_skips_unchanged), but a backfill + # scan re-emits its traces regardless — bypass, not state-deletion. + claude = tmp_path / ".claude" + state = tmp_path / "state.json" + _write_transcript(claude, [_assistant("a long enough reasoning trace here", uuid="a")]) + assert len(_scan(claude, _cfg(), state)) == 1 + assert _scan(claude, _cfg(), state) == [] # normal 2nd scan: unchanged → skipped + + backfilled = scan_transcripts( + _cfg(), state_path=state, claude_dir=claude, now=_NOW, backfill=True + ) + assert len(backfilled) == 1 + assert "long enough reasoning trace" in backfilled[0]["content"] + + +def test_normal_scan_after_backfill_yields_nothing_new(tmp_path: Path) -> None: + # After a backfill re-scan, the scan-state entry is rewritten just like a + # normal scan would (never deleted) — so a THIRD, normal scan sees the + # file as unchanged again and stays cheap. + claude = tmp_path / ".claude" + state = tmp_path / "state.json" + _write_transcript(claude, [_assistant("a long enough reasoning trace here", uuid="a")]) + assert len(_scan(claude, _cfg(), state)) == 1 # 1st: normal, populates state + + backfilled = scan_transcripts( + _cfg(), state_path=state, claude_dir=claude, now=_NOW, backfill=True + ) + assert len(backfilled) == 1 # 2nd: backfill, bypasses skip, rewrites state + + assert _scan(claude, _cfg(), state) == [] # 3rd: normal, nothing new + + def test_model_glob_filter(tmp_path: Path) -> None: claude = tmp_path / ".claude" _write_transcript( @@ -149,13 +188,13 @@ def test_model_glob_filter(tmp_path: Path) -> None: assert [t["model"] for t in traces] == ["claude-fable-5"] -def test_synthetic_and_opus_are_skipped(tmp_path: Path) -> None: +def test_synthetic_skipped(tmp_path: Path) -> None: + # The pseudo-model (non-model turns) is never mined. claude = tmp_path / ".claude" _write_transcript( claude, [ _assistant("synthetic reasoning trace long enough", model="", uuid="a"), - _assistant("opus reasoning trace long enough", model="claude-opus-4-8", uuid="b"), _assistant("fable reasoning trace long enough", model="claude-fable-5", uuid="c"), ], ) @@ -163,6 +202,21 @@ def test_synthetic_and_opus_are_skipped(tmp_path: Path) -> None: assert [t["model"] for t in traces] == ["claude-fable-5"] +def test_opus_4_8_is_mined(tmp_path: Path) -> None: + # opus-4-8 is NO LONGER denylisted — its thinking traces are mined like any + # other model (run-008 correction: opus emits real thinking, ~1166 chars avg). + claude = tmp_path / ".claude" + _write_transcript( + claude, + [ + _assistant("opus reasoning trace long enough", model="claude-opus-4-8", uuid="b"), + _assistant("fable reasoning trace long enough", model="claude-fable-5", uuid="c"), + ], + ) + traces = _scan(claude, _cfg(), tmp_path / "state.json") + assert {t["model"] for t in traces} == {"claude-opus-4-8", "claude-fable-5"} + + def test_empty_thinking_skipped(tmp_path: Path) -> None: claude = tmp_path / ".claude" _write_transcript(claude, [_assistant(" ", uuid="a")]) # opus-style empty thinking @@ -259,15 +313,86 @@ def test_files_outside_projects_glob_ignored(tmp_path: Path) -> None: assert _scan(claude, _cfg(), tmp_path / "state.json") == [] -def test_max_traces_per_scan_soft_cap(tmp_path: Path) -> None: +def test_nested_session_directory_discovered(tmp_path: Path) -> None: + # projects///t.jsonl — one level deeper than the old + # `projects/*/*.jsonl` glob covered. claude = tmp_path / ".claude" - entries = [ - _assistant(f"reasoning trace number {i} long enough", uuid=f"u{i}") for i in range(5) - ] - _write_transcript(claude, entries) - traces = _scan(claude, _cfg(max_traces_per_scan=3), tmp_path / "state.json") - # Whole file is scanned (no mid-file loss); cap only stops scanning MORE files. - assert len(traces) == 5 + _write_transcript( + claude, + [_assistant("nested session reasoning trace long enough", uuid="n1")], + slug="proj-a/2026-03-01-session1", + ) + traces = _scan(claude, _cfg(), tmp_path / "state.json") + assert len(traces) == 1 + assert traces[0]["project"] == "proj-a" + + +def test_subagent_transcript_discovered_and_attributed_to_project(tmp_path: Path) -> None: + # projects///subagents/agent-*.jsonl — Task-tool subagent + # transcripts must be discovered AND attributed to the top-level project, + # not to a literal "subagents" pseudo-project. + claude = tmp_path / ".claude" + entry = _assistant("subagent reasoning trace long enough to mine", uuid="sa1") + entry["isSidechain"] = True + _write_transcript( + claude, + [entry], + slug="proj-a/session1/subagents", + name="agent-1.jsonl", + ) + traces = _scan(claude, _cfg(), tmp_path / "state.json") + assert len(traces) == 1 + assert traces[0]["project"] == "proj-a" + + +def test_stray_file_directly_in_projects_dir_ignored(tmp_path: Path) -> None: + # A jsonl sitting directly in projects/ (no project subdirectory) isn't + # associated with any project and must be skipped, even though it's a + # deeper scan than the old glob. + claude = tmp_path / ".claude" + (claude / "projects").mkdir(parents=True, exist_ok=True) + (claude / "projects" / "stray.jsonl").write_text( + json.dumps(_assistant("stray at projects root long enough", uuid="s1")) + "\n", + encoding="utf-8", + ) + assert _scan(claude, _cfg(), tmp_path / "state.json") == [] + + +def test_symlink_escape_blocked_at_depth(tmp_path: Path) -> None: + # A symlink nested several directories deep that resolves outside + # ~/.claude must still be rejected by the path-escape guard. + claude = tmp_path / ".claude" + session_dir = claude / "projects" / "proj-a" / "session1" + session_dir.mkdir(parents=True, exist_ok=True) + outside = tmp_path / "outside" + outside.mkdir() + real = outside / "evil.jsonl" + real.write_text( + json.dumps(_assistant("escaped reasoning trace long enough", uuid="e1")) + "\n", + encoding="utf-8", + ) + (session_dir / "evil.jsonl").symlink_to(real) + assert _scan(claude, _cfg(), tmp_path / "state.json") == [] + + +def test_scan_returns_all_traces_unbounded(tmp_path: Path) -> None: + """No per-scan cap: many files' worth of traces are all returned, uncapped.""" + claude = tmp_path / ".claude" + files = 6 + per_file = 4 + total = files * per_file + for f in range(files): + entries = [ + _assistant( + f"reasoning trace file {f} number {i} long enough to qualify", + session=f"s{f}", + uuid=f"u{f}-{i}", + ) + for i in range(per_file) + ] + _write_transcript(claude, entries, slug=f"proj-{f}") + traces = _scan(claude, _cfg(), tmp_path / "state.json") + assert len(traces) == total async def test_ingest_reasoning_traces_into_storage(tmp_path: Path) -> None: @@ -297,6 +422,51 @@ async def test_ingest_reasoning_traces_into_storage(tmp_path: Path) -> None: assert set(stats["by_model"]) == {"claude-fable-5", "claude-sonnet-5"} +async def test_second_consecutive_backfill_ingest_is_noop_at_storage(tmp_path: Path) -> None: + # Backfill bypasses the miner's size+mtime skip, so a 2nd backfill still + # RE-SCANS the file and re-emits its trace — but trace_hash dedup at the + # storage layer means nothing NEW actually gets inserted the 2nd time. + claude = tmp_path / ".claude" + _write_transcript( + claude, + [_assistant("reasoning trace long enough for backfill dedup test", uuid="a")], + ) + storage = InMemoryStorage() + storage.set_brain("b1") + cfg = UnifiedConfig( + data_dir=tmp_path / ".surrealmemory", + current_brain="default", + reasoning_training=_cfg(), + ) + state_path = tmp_path / "state.json" + + first = await ingest_reasoning_traces( + storage, + "b1", + cfg, + claude_dir=claude, + state_path=state_path, + now=_NOW, + backfill=True, + ) + assert first.traces_ingested == 1 + + second = await ingest_reasoning_traces( + storage, + "b1", + cfg, + claude_dir=claude, + state_path=state_path, + now=_NOW, + backfill=True, + ) + assert second.traces_scanned == 1 # the miner still re-emits it (bypass) + assert second.traces_ingested == 0 # but storage-layer dedup drops it + + stats = await storage.get_reasoning_stats("b1") + assert stats["total"] == 1 # no duplicate row was created + + def _fake_unified_config(tmp_path: Path, *, mining_enabled: bool) -> UnifiedConfig: return UnifiedConfig( data_dir=tmp_path / ".surrealmemory", @@ -377,3 +547,129 @@ async def _spy_ingest(*a, **k): # pragma: no cover - must NOT be reached ) assert report.reasoning_traces_ingested == 0 assert calls["n"] == 0 + + +class _CountingStorage(InMemoryStorage): + """InMemoryStorage that records how many times insert is called.""" + + def __init__(self) -> None: + super().__init__() + self.insert_calls = 0 + + async def insert_reasoning_traces(self, brain_id: str, traces: list[dict[str, Any]]) -> int: + self.insert_calls += 1 + return await super().insert_reasoning_traces(brain_id, traces) + + +class _CrashOnNthInsert(InMemoryStorage): + """InMemoryStorage that raises on the *nth* insert call (1-based).""" + + def __init__(self, crash_on: int) -> None: + super().__init__() + self._crash_on = crash_on + self.insert_calls = 0 + + async def insert_reasoning_traces(self, brain_id: str, traces: list[dict[str, Any]]) -> int: + self.insert_calls += 1 + if self.insert_calls == self._crash_on: + raise RuntimeError("simulated storage failure mid-ingest") + return await super().insert_reasoning_traces(brain_id, traces) + + +def _ingest_cfg(tmp_path: Path) -> UnifiedConfig: + return UnifiedConfig( + data_dir=tmp_path / ".surrealmemory", + current_brain="default", + reasoning_training=_cfg(), + ) + + +async def test_ingest_inserts_per_file_not_once(tmp_path: Path) -> None: + # Two separate transcript FILES → two separate storage inserts (per-file + # ingest bounds memory), not one batched insert at the end. + claude = tmp_path / ".claude" + _write_transcript( + claude, [_assistant("file one reasoning long enough", uuid="a")], slug="proj-a" + ) + _write_transcript( + claude, [_assistant("file two reasoning long enough", uuid="b")], slug="proj-b" + ) + storage = _CountingStorage() + storage.set_brain("b1") + result = await ingest_reasoning_traces( + storage, + "b1", + _ingest_cfg(tmp_path), + claude_dir=claude, + state_path=tmp_path / "state.json", + now=_NOW, + ) + assert storage.insert_calls == 2 + assert result.files_total == 2 + assert result.files_scanned == 2 + assert result.traces_ingested == 2 + + +async def test_ingest_progress_is_monotonic_and_complete(tmp_path: Path) -> None: + claude = tmp_path / ".claude" + for i in range(3): + _write_transcript( + claude, + [_assistant(f"reasoning trace {i} long enough", uuid=f"u{i}")], + slug=f"proj-{i}", + ) + storage = InMemoryStorage() + storage.set_brain("b1") + snapshots: list[MiningProgress] = [] + result = await ingest_reasoning_traces( + storage, + "b1", + _ingest_cfg(tmp_path), + claude_dir=claude, + state_path=tmp_path / "state.json", + now=_NOW, + progress=snapshots.append, + ) + assert snapshots, "progress callback was never invoked" + # A scanning snapshot with the total known precedes ingesting. + assert snapshots[0].phase == "scanning" + assert any(s.phase == "ingesting" for s in snapshots) + # files_scanned and traces_found only ever increase. + files_seen = [s.files_scanned for s in snapshots] + assert files_seen == sorted(files_seen) + found_seen = [s.traces_found for s in snapshots] + assert found_seen == sorted(found_seen) + # The final snapshot reflects a fully-scanned corpus. + assert snapshots[-1].files_scanned == snapshots[-1].files_total == 3 + assert result.files_scanned == 3 + assert result.traces_ingested == 3 + + +async def test_ingest_state_survives_a_crash_mid_run(tmp_path: Path) -> None: + # File 1 ingests cleanly, file 2's insert raises → file 1's scan-state is + # persisted (finally block), file 2's is not (recorded only after insert). + claude = tmp_path / ".claude" + _write_transcript( + claude, [_assistant("first file reasoning long enough", uuid="a")], slug="proj-a" + ) + _write_transcript( + claude, [_assistant("second file reasoning long enough", uuid="b")], slug="proj-b" + ) + storage = _CrashOnNthInsert(crash_on=2) + storage.set_brain("b1") + state_file = tmp_path / "state.json" + with pytest.raises(RuntimeError): + await ingest_reasoning_traces( + storage, + "b1", + _ingest_cfg(tmp_path), + claude_dir=claude, + state_path=state_file, + now=_NOW, + ) + saved = json.loads(state_file.read_text(encoding="utf-8")) + # Exactly the first file (proj-a) is recorded; the crashed file (proj-b) is not. + assert len(saved) == 1 + only_key = next(iter(saved)) + assert "proj-a" in only_key + assert not any("proj-b" in k for k in saved) diff --git a/tests/unit/test_route_reasoning_training.py b/tests/unit/test_route_reasoning_training.py index 7db40e5a..d1f2971f 100644 --- a/tests/unit/test_route_reasoning_training.py +++ b/tests/unit/test_route_reasoning_training.py @@ -149,17 +149,115 @@ def test_status_with_traces_and_patterns( def test_status_denylisted_model_has_no_thinking( client: TestClient, mock_storage: AsyncMock, tmp_path: Path, monkeypatch: pytest.MonkeyPatch ) -> None: + # opus-4-8 is no longer denylisted, so use a FICTIONAL denylisted model to + # exercise the has_thinking_text=False path (the mechanism still works). + monkeypatch.setattr(rt_module, "_MODELS_WITHOUT_THINKING", ("fictional-no-think-model",)) monkeypatch.setattr("surreal_memory.unified_config.get_config", lambda: _cfg(tmp_path)) mock_storage.get_reasoning_stats.return_value = { - "by_model": {"claude-opus-4-8": {"trace_count": 0, "unprocessed": 0, "last_trace_at": ""}}, + "by_model": { + "fictional-no-think-model": {"trace_count": 0, "unprocessed": 0, "last_trace_at": ""} + }, "by_category": {}, "total": 0, "unprocessed": 0, } resp = client.get("/api/dashboard/reasoning/status") data = resp.json() - opus = next(m for m in data["per_model"] if m["model"] == "claude-opus-4-8") - assert opus["has_thinking_text"] is False + model = next(m for m in data["per_model"] if m["model"] == "fictional-no-think-model") + assert model["has_thinking_text"] is False + + +def test_status_idle_has_progress_fields( + client: TestClient, tmp_path: Path, monkeypatch: pytest.MonkeyPatch +) -> None: + monkeypatch.setattr("surreal_memory.unified_config.get_config", lambda: _cfg(tmp_path)) + mining = client.get("/api/dashboard/reasoning/status").json()["mining"] + assert mining["phase"] == "idle" + assert mining["files_total"] == 0 + assert mining["files_scanned"] == 0 + assert mining["traces_found"] == 0 + assert mining["traces_processed"] == 0 + assert mining["current_model"] is None + assert mining["models_done"] == 0 + assert mining["models_total"] == 0 + + +async def test_run_mining_wires_progress_and_finishes( + tmp_path: Path, monkeypatch: pytest.MonkeyPatch +) -> None: + from surreal_memory.engine.reasoning_progress import ( + PHASE_DISTILLING, + PHASE_INGESTING, + MiningProgress, + ) + + cfg = _cfg(tmp_path, mining_enabled=True) + monkeypatch.setattr("surreal_memory.unified_config.get_config", lambda *a, **k: cfg) + monkeypatch.setattr( + "surreal_memory.unified_config.create_isolated_storage", + AsyncMock(return_value=AsyncMock()), + ) + + captured: list[dict[str, Any]] = [] + + async def _fake_ingest( + storage: Any, brain_id: str, config: Any, *, backfill: bool = False, progress: Any = None + ) -> SimpleNamespace: + if progress is not None: + progress( + MiningProgress( + phase=PHASE_INGESTING, + files_total=10, + files_scanned=5, + traces_found=3, + traces_ingested=2, + ) + ) + captured.append(dict(rt_module._mining_states[brain_id])) + return SimpleNamespace( + traces_ingested=2, traces_scanned=3, files_scanned=10, files_total=10 + ) + + async def _fake_distill( + storage: Any, brain_id: str, config: Any, *, drain: bool = False, progress: Any = None + ) -> SimpleNamespace: + if progress is not None: + progress( + MiningProgress( + phase=PHASE_DISTILLING, + current_model="claude-fable-5", + models_done=0, + models_total=1, + patterns_learned=1, + traces_processed=2, + ) + ) + return SimpleNamespace(patterns_learned=1, traces_processed=2, models_seen=1) + + monkeypatch.setattr( + "surreal_memory.engine.reasoning_miner.ingest_reasoning_traces", _fake_ingest + ) + monkeypatch.setattr( + "surreal_memory.engine.reasoning_distiller.distill_reasoning_patterns", _fake_distill + ) + + rt_module._mining_states[BRAIN_ID] = rt_module._idle_mining_state() + rt_module._mining_states[BRAIN_ID].update(running=True) + await rt_module._run_mining(BRAIN_ID, backfill=False, dry_run=False, models=None) + + # An intermediate ingest snapshot was visible mid-run. + assert captured and captured[0]["phase"] == PHASE_INGESTING + assert captured[0]["files_scanned"] == 5 + assert captured[0]["traces_found"] == 3 + + final = rt_module._mining_states[BRAIN_ID] + assert final["phase"] == "done" + assert final["running"] is False + assert final["finished_at"] is not None + assert final["patterns_learned"] == 1 + assert final["traces_processed"] == 2 + assert final["files_scanned"] == 10 + assert final["models_total"] == 1 # ── PUT /config ─────────────────────────────────────────────────────────────── @@ -184,36 +282,45 @@ def test_config_toggle_mining(client: TestClient, config_capture: dict[str, Any] def test_config_rejects_model_without_thinking( - client: TestClient, config_capture: dict[str, Any] + client: TestClient, config_capture: dict[str, Any], monkeypatch: pytest.MonkeyPatch ) -> None: + # opus is mineable now; a genuinely thinking-less model (fictional denylist + # entry) is still rejected for mining_models. + monkeypatch.setattr(rt_module, "_MODELS_WITHOUT_THINKING", ("fictional-no-think-model",)) resp = client.put( - "/api/dashboard/reasoning/config", json={"mining_models": ["claude-opus-4-8"]} + "/api/dashboard/reasoning/config", + json={"mining_models": ["fictional-no-think-model"]}, ) assert resp.status_code == 422 assert "thinking" in resp.json()["detail"].lower() def test_config_rejects_injection_source_without_thinking( - client: TestClient, config_capture: dict[str, Any] + client: TestClient, config_capture: dict[str, Any], monkeypatch: pytest.MonkeyPatch ) -> None: + # A thinking-less injection SOURCE (fictional denylist entry) is rejected. + monkeypatch.setattr(rt_module, "_MODELS_WITHOUT_THINKING", ("fictional-no-think-model",)) resp = client.put( "/api/dashboard/reasoning/config", - json={"injection_map": {"claude-fable-5": "claude-opus-4-8"}}, + json={"injection_map": {"claude-fable-5": "fictional-no-think-model"}}, ) assert resp.status_code == 422 def test_config_allows_denylisted_target( - client: TestClient, config_capture: dict[str, Any] + client: TestClient, config_capture: dict[str, Any], monkeypatch: pytest.MonkeyPatch ) -> None: - # opus is a valid injection TARGET (recipient); fable is a thinking source. + # A denylisted (thinking-less) model is still a valid injection TARGET + # (recipient); the source must have thinking text. opus is no longer + # denylisted, so pin a fictional denylisted model as the target here. + monkeypatch.setattr(rt_module, "_MODELS_WITHOUT_THINKING", ("fictional-no-think-model",)) resp = client.put( "/api/dashboard/reasoning/config", - json={"injection_map": {"claude-opus-4-8": "claude-fable-5"}}, + json={"injection_map": {"fictional-no-think-model": "claude-fable-5"}}, ) assert resp.status_code == 200 assert config_capture["cfg"].reasoning_training.injection_map == ( - ("claude-opus-4-8", "claude-fable-5"), + ("fictional-no-think-model", "claude-fable-5"), ) @@ -237,6 +344,30 @@ def test_config_rejects_bad_model_name(client: TestClient, config_capture: dict[ assert resp.status_code == 422 +def test_config_pattern_targets_roundtrip( + client: TestClient, config_capture: dict[str, Any] +) -> None: + # Valid targets round-trip; an out-of-range value clamps to 0..100. + resp = client.put( + "/api/dashboard/reasoning/config", + json={"pattern_targets": {"claude-fable-5": 30, "claude-sonnet-5": 150}}, + ) + assert resp.status_code == 200 + saved = config_capture["cfg"].reasoning_training.pattern_targets + assert saved == {"claude-fable-5": 30, "claude-sonnet-5": 100} + assert resp.json()["config"]["pattern_targets"]["claude-fable-5"] == 30 + + +def test_config_rejects_bad_pattern_target_name( + client: TestClient, config_capture: dict[str, Any] +) -> None: + resp = client.put( + "/api/dashboard/reasoning/config", + json={"pattern_targets": {"bad name!;drop": 10}}, + ) + assert resp.status_code == 422 + + def test_config_rejects_glob_injection_source( client: TestClient, config_capture: dict[str, Any] ) -> None: @@ -263,6 +394,20 @@ def test_config_rejects_bad_category_name( assert resp.status_code == 422 +def test_config_trace_chars_roundtrip(client: TestClient, config_capture: dict[str, Any]) -> None: + resp = client.put( + "/api/dashboard/reasoning/config", + json={"min_trace_chars": 500, "max_trace_chars": 50_000}, + ) + assert resp.status_code == 200 + body = resp.json()["config"] + assert body["min_trace_chars"] == 500 + assert body["max_trace_chars"] == 50_000 + assert config_capture["cfg"].reasoning_training.min_trace_chars == 500 + assert config_capture["cfg"].reasoning_training.max_trace_chars == 50_000 + assert config_capture["saved"] is not None # persisted + + # ── POST /mine ──────────────────────────────────────────────────────────────── @@ -336,6 +481,38 @@ async def _noop(*_a: Any, **_k: Any) -> None: assert client.post("/api/dashboard/reasoning/mine", json={}).status_code == 202 +async def test_run_mining_forwards_backfill_to_ingest( + tmp_path: Path, monkeypatch: pytest.MonkeyPatch +) -> None: + # _run_mining must forward backfill=True into ingest_reasoning_traces (the + # miner's real full-rescan bypass), on top of the scan_lookback_days=0 + # override it already applies. + monkeypatch.setattr( + "surreal_memory.unified_config.get_config", + lambda: _cfg(tmp_path, mining_enabled=True), + ) + storage = AsyncMock() + storage.close = AsyncMock() + monkeypatch.setattr( + "surreal_memory.unified_config.create_isolated_storage", + AsyncMock(return_value=storage), + ) + ingest_mock = AsyncMock(return_value=SimpleNamespace(traces_ingested=1, traces_scanned=1)) + distill_mock = AsyncMock( + return_value=SimpleNamespace(patterns_learned=0, traces_processed=1, models_seen=1) + ) + monkeypatch.setattr( + "surreal_memory.engine.reasoning_miner.ingest_reasoning_traces", ingest_mock + ) + monkeypatch.setattr( + "surreal_memory.engine.reasoning_distiller.distill_reasoning_patterns", distill_mock + ) + + await rt_module._run_mining(BRAIN_ID, True, False, None) + + assert ingest_mock.await_args.kwargs["backfill"] is True + + # ── GET/DELETE patterns ─────────────────────────────────────────────────────── diff --git a/tests/unit/test_unified_config.py b/tests/unit/test_unified_config.py index bdba714f..66b6b0d9 100755 --- a/tests/unit/test_unified_config.py +++ b/tests/unit/test_unified_config.py @@ -555,6 +555,21 @@ def test_defaults_are_opt_in_off(self) -> None: assert rt.min_confidence == 0.2 assert rt.redact_secrets is True + def test_default_max_trace_chars_is_100k(self) -> None: + # Bumped 20_000 -> 100_000: content safety, not a real-world cut (no + # per-scan cap left to bound total volume, so the char cap stays the + # only safety valve — raised because real traces were being truncated). + assert ReasoningTrainingConfig().max_trace_chars == 100_000 + assert ReasoningTrainingConfig.from_dict({}).max_trace_chars == 100_000 + + def test_from_dict_ignores_legacy_max_traces_per_scan_key(self) -> None: + # max_traces_per_scan was removed (u2): an old config.toml/dict still + # carrying the key must load without raising, and the field must not + # reappear on the resulting instance. + rt = ReasoningTrainingConfig.from_dict({"max_traces_per_scan": 500, "min_confidence": 0.4}) + assert not hasattr(rt, "max_traces_per_scan") + assert rt.min_confidence == 0.4 + def test_from_dict_to_dict_roundtrip(self) -> None: rt = ReasoningTrainingConfig( mining_enabled=True, diff --git a/vscode-extension/package-lock.json b/vscode-extension/package-lock.json index 5c82d7e1..4e1886a9 100755 --- a/vscode-extension/package-lock.json +++ b/vscode-extension/package-lock.json @@ -1,12 +1,12 @@ { "name": "surrealmemory", - "version": "2.12.1", + "version": "2.13.0", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "surrealmemory", - "version": "2.12.1", + "version": "2.13.0", "license": "MIT", "dependencies": { "cytoscape": "^3.33.1", diff --git a/vscode-extension/package.json b/vscode-extension/package.json index bcbf30c2..70e5630c 100755 --- a/vscode-extension/package.json +++ b/vscode-extension/package.json @@ -2,7 +2,7 @@ "name": "surrealmemory", "displayName": "Surreal-Memory", "description": "Visual brain explorer, inline recall, and memory management for Surreal-Memory", - "version": "2.12.1", + "version": "2.13.0", "publisher": "ai-flow-nowak", "license": "MIT", "preview": true,