diff --git a/backend/glossa_lab/api/signs.py b/backend/glossa_lab/api/signs.py new file mode 100644 index 00000000..9b844ff1 --- /dev/null +++ b/backend/glossa_lab/api/signs.py @@ -0,0 +1,298 @@ +"""Signs API — unified sign index with anchored cross-references. + +Data sources (merged on startup): + 1. ``INDUS_FINAL_ANCHORS.json`` — the authoritative anchor file + 2. ``anchor_sets`` DB table — user-created named anchor sets + 3. ``anchor_staging.json`` / ``anchor_staging_archive.json`` — staging pipeline + +Endpoints (mounted at ``/api/v1/signs``): + GET /signs — paginated, filterable sign list + GET /signs/summary — aggregate counts + GET /signs/{sign_id} — full detail for one sign +""" +from __future__ import annotations + +import json +import logging +import re +from pathlib import Path +from typing import Any + +from fastapi import APIRouter, HTTPException, Query + +router = APIRouter(prefix="/api/v1/signs", tags=["signs"]) +_log = logging.getLogger("glossa_lab.api.signs") + +# ── In-memory sign index ────────────────────────────────────────────────── +# Built lazily on first request from all available sources. + +_SIGNS_INDEX: dict[str, dict[str, Any]] = {} +_INDEX_BUILT = False + +_BACKEND_DIR = Path(__file__).resolve().parent.parent.parent # backend/ +_REPORTS_DIR = _BACKEND_DIR / "reports" +_OUTPUTS_DIR = _BACKEND_DIR / "outputs" + + +def _parse_phase(source_exp: str) -> int | None: + """Extract phase number from an experiment id like 'indus_anchored_sa_dravidian_p257'.""" + m = re.search(r"[_pP](\d+)", source_exp or "") + return int(m.group(1)) if m else None + + +def _build_sign_entry( + sign_id: str, + reading: str, + confidence: str, + *, + basis: str = "", + source_experiment: str = "", + evidence_score: float = 0.0, + evidence_type: str = "", + dedr: str = "", + dedr_source: str = "", + phase_upgraded: int | None = None, + corpus_freq: int = 0, + in_corpus: bool = True, + wells_ids: list[str] | None = None, + mahadevan_ids: list[str] | None = None, + numbering_system: str = "wells", + gloss: str = "", + extra: dict[str, Any] | None = None, +) -> dict[str, Any]: + phase = phase_upgraded or _parse_phase(source_experiment) + return { + "sign_id": sign_id, + "reading": reading, + "confidence": confidence.upper(), + "in_corpus": in_corpus, + "corpus_freq": corpus_freq, + "evidence_type": evidence_type, + "evidence_score": evidence_score, + "basis": basis, + "gloss": gloss, + "source": { + "experiment": source_experiment, + "phase": phase, + "job_id": None, + "report_ref": f"Phase {phase} Anchored SA" if phase else "", + "staging_entry": None, + "dedr_ref": f"DEDR {dedr}" if dedr else "", + "dedr_source": dedr_source, + }, + "wells_ids": wells_ids or [], + "mahadevan_ids": mahadevan_ids or [], + "numbering_system": numbering_system, + **(extra or {}), + } + + +def _load_final_anchors() -> None: + """Load INDUS_FINAL_ANCHORS.json into the index.""" + path = _REPORTS_DIR / "INDUS_FINAL_ANCHORS.json" + if not path.exists(): + return + try: + data = json.loads(path.read_text(encoding="utf-8")) + anchors = data.get("anchors") or {} + for sid, info in anchors.items(): + reading = info.get("reading", "") + confidence = (info.get("confidence") or "LOW").upper() + source = info.get("source", "") + dedr = info.get("dedr", "") + dedr_source = info.get("dedr_source", "") + phase_upgraded = info.get("phase_upgraded") + gloss = info.get("gloss", "") + basis = info.get("basis", "") + + entry = _build_sign_entry( + sign_id=sid, + reading=reading, + confidence=confidence, + basis=basis, + source_experiment=source, + dedr=str(dedr) if dedr else "", + dedr_source=dedr_source, + phase_upgraded=int(phase_upgraded) if phase_upgraded else None, + gloss=gloss, + ) + _SIGNS_INDEX[sid] = entry + _log.info("Loaded %d signs from INDUS_FINAL_ANCHORS.json", len(anchors)) + except Exception: # noqa: BLE001 + _log.warning("Failed to load INDUS_FINAL_ANCHORS.json", exc_info=True) + + +def _load_staging_files() -> None: + """Load anchor_staging.json and anchor_staging_archive.json if present.""" + for fname in ("anchor_staging.json", "anchor_staging_archive.json"): + path = _OUTPUTS_DIR / fname + if not path.exists(): + continue + try: + items = json.loads(path.read_text(encoding="utf-8")) + if not isinstance(items, list): + continue + count = 0 + for item in items: + sid = item.get("sign") or item.get("sign_id", "") + if not sid or sid in _SIGNS_INDEX: + continue + status = (item.get("review_status") or "").lower() + if status not in ("approved", "verified", "accepted"): + continue + entry = _build_sign_entry( + sign_id=sid, + reading=item.get("proposed_reading", ""), + confidence=(item.get("confidence") or "LOW").upper(), + evidence_type=item.get("evidence_type", ""), + evidence_score=float(item.get("evidence_score", 0)), + source_experiment=item.get("source_experiment", ""), + ) + entry["staging_source"] = fname + _SIGNS_INDEX[sid] = entry + count += 1 + if count: + _log.info("Loaded %d signs from %s", count, fname) + except Exception: # noqa: BLE001 + _log.warning("Failed to load %s", fname, exc_info=True) + + +async def _load_anchor_sets() -> None: + """Load pairs from the anchor_sets DB table.""" + try: + from glossa_lab.database import get_db # noqa: PLC0415 + + db = get_db() + if db is None: + return + sets = await db.list_anchor_sets() + count = 0 + for aset in sets: + pairs = aset.get("pairs") + if isinstance(pairs, str): + try: + pairs = json.loads(pairs) + except Exception: # noqa: BLE001 + continue + if not isinstance(pairs, list): + continue + for pair in pairs: + cipher = pair.get("cipher", "") + target = pair.get("target", "") + if not cipher or cipher in _SIGNS_INDEX: + continue + conf = (pair.get("confidence") or "medium").upper() + entry = _build_sign_entry( + sign_id=cipher, + reading=target, + confidence=conf, + source_experiment=f"anchor_set:{aset.get('id', '')}", + ) + entry["anchor_set_name"] = aset.get("name", "") + _SIGNS_INDEX[cipher] = entry + count += 1 + if count: + _log.info("Loaded %d signs from anchor_sets table", count) + except Exception: # noqa: BLE001 + _log.warning("Failed to load anchor_sets", exc_info=True) + + +async def _ensure_index() -> None: + """Build the index once on first access.""" + global _INDEX_BUILT # noqa: PLW0603 + if _INDEX_BUILT: + return + _load_final_anchors() + _load_staging_files() + await _load_anchor_sets() + _INDEX_BUILT = True + _log.info("Signs index ready: %d total entries", len(_SIGNS_INDEX)) + + +# ── Endpoints ───────────────────────────────────────────────────────────── + + +@router.get("/summary") +async def signs_summary() -> dict[str, Any]: + """Aggregate counts: total, deciphered, undeciphered, by confidence, etc.""" + await _ensure_index() + signs = list(_SIGNS_INDEX.values()) + total = len(signs) + high = sum(1 for s in signs if s["confidence"] == "HIGH") + medium = sum(1 for s in signs if s["confidence"] == "MEDIUM") + low = sum(1 for s in signs if s["confidence"] == "LOW") + in_corpus = sum(1 for s in signs if s.get("in_corpus")) + deciphered = high + medium + low # all with readings + # ICIT reference: 713 known signs total + icit_total = 713 + undeciphered = max(0, icit_total - deciphered) + return { + "total": total, + "deciphered": deciphered, + "undeciphered": undeciphered, + "icit_total": icit_total, + "high": high, + "medium": medium, + "low": low, + "in_corpus": in_corpus, + } + + +@router.get("") +async def list_signs( + deciphered: bool | None = Query(None), + confidence: str | None = Query(None), + in_corpus: bool | None = Query(None), + search: str | None = Query(None), + limit: int = Query(50, ge=1, le=500), + offset: int = Query(0, ge=0), +) -> dict[str, Any]: + """Paginated, filterable sign list.""" + await _ensure_index() + results = list(_SIGNS_INDEX.values()) + + # Filters + if confidence and confidence.upper() != "ANY": + conf_set = {c.strip().upper() for c in confidence.split(",")} + results = [s for s in results if s["confidence"] in conf_set] + + if in_corpus is not None: + results = [s for s in results if s.get("in_corpus") == in_corpus] + + if deciphered is not None: + if deciphered: + results = [s for s in results if s.get("reading")] + else: + results = [s for s in results if not s.get("reading")] + + if search: + q = search.lower() + results = [ + s for s in results + if q in s["sign_id"].lower() + or q in (s.get("reading") or "").lower() + or q in (s.get("basis") or "").lower() + ] + + # Sort by confidence rank then sign_id + conf_rank = {"HIGH": 0, "MEDIUM": 1, "LOW": 2, "UNCERTAIN": 3} + results.sort(key=lambda s: (conf_rank.get(s["confidence"], 9), s["sign_id"])) + + total = len(results) + page = results[offset: offset + limit] + return { + "items": page, + "total": total, + "limit": limit, + "offset": offset, + } + + +@router.get("/{sign_id}") +async def get_sign(sign_id: str) -> dict[str, Any]: + """Full detail for one sign including cross-references.""" + await _ensure_index() + entry = _SIGNS_INDEX.get(sign_id) + if entry is None: + raise HTTPException(status_code=404, detail=f"Sign '{sign_id}' not found") + return entry diff --git a/backend/glossa_lab/main.py b/backend/glossa_lab/main.py index 55ef1992..b31dc8ef 100644 --- a/backend/glossa_lab/main.py +++ b/backend/glossa_lab/main.py @@ -55,6 +55,7 @@ from glossa_lab.api.studies import router as studies_router from glossa_lab.api.system import router as system_router from glossa_lab.api.terminal import router as terminal_router +from glossa_lab.api.signs import router as signs_router from glossa_lab.api.texts import router as texts_router from glossa_lab.config import get_settings from glossa_lab.database import close_db, init_db @@ -378,6 +379,7 @@ def create_app() -> FastAPI: application.include_router(model_intelligence_router) # /api/v1/model-intelligence application.include_router(indus_evidence_router) # already prefixed at /api/v1/indus-evidence application.include_router(research_loop_router) # already prefixed at /api/v1/research-loop + application.include_router(signs_router) # already prefixed at /api/v1/signs # Serve built frontend # Skipped silently in dev if the dist directory does not yet exist. diff --git a/backend/scripts/seed_canonical_signs.py b/backend/scripts/seed_canonical_signs.py new file mode 100644 index 00000000..834e3117 --- /dev/null +++ b/backend/scripts/seed_canonical_signs.py @@ -0,0 +1,238 @@ +#!/usr/bin/env python3 +"""Seed the canonical_signs table from all available anchor sources. + +Sources (in priority order): + 1. backend/reports/INDUS_FINAL_ANCHORS.json — authoritative anchor file + 2. anchor_sets DB table — user-created named anchor sets (pairs JSON) + 3. backend/outputs/anchor_staging_archive.json — archived/verified candidates + 4. backend/outputs/anchor_staging.json — approved staged candidates + +Usage: + python backend/scripts/seed_canonical_signs.py +""" +from __future__ import annotations + +import json +import re +import sqlite3 +import sys +from pathlib import Path + +# Resolve paths relative to repo root +_SCRIPT_DIR = Path(__file__).resolve().parent +_BACKEND_DIR = _SCRIPT_DIR.parent +_REPO_ROOT = _BACKEND_DIR.parent +_REPORTS_DIR = _BACKEND_DIR / "reports" +_OUTPUTS_DIR = _BACKEND_DIR / "outputs" +_DB_PATH = _BACKEND_DIR / "data" / "glossa.db" + + +def _parse_phase(source_exp: str) -> int: + """Extract phase number from experiment id.""" + m = re.search(r"[_pP](\d+)", source_exp or "") + return int(m.group(1)) if m else 0 + + +def main() -> None: + signs: dict[str, dict] = {} # sign_id → sign data + + # ── 1. INDUS_FINAL_ANCHORS.json ───────────────────────────────────── + fa_path = _REPORTS_DIR / "INDUS_FINAL_ANCHORS.json" + fa_count = 0 + if fa_path.exists(): + data = json.loads(fa_path.read_text(encoding="utf-8")) + anchors = data.get("anchors") or {} + for sid, info in anchors.items(): + reading = info.get("reading", "") + confidence = (info.get("confidence") or "LOW").upper() + dedr = str(info.get("dedr", "")) + phase = info.get("phase_upgraded", 0) or _parse_phase(info.get("source", "")) + signs[sid] = { + "internal_id": sid, + "sign_id": sid, + "numbering_system": "wells", + "description": reading, + "wells_ids": "", + "mahadevan_ids": "", + "parpola_allographs": "", + "icit_function": info.get("gloss", ""), + "corpus_freq": 0, + "start_rate": 0.0, + "end_rate": 0.0, + "internal_rate": 0.0, + "in_corpus": 1, + "n_feature_dims": 0, + "_confidence": confidence, + "_reading": reading, + "_dedr": dedr, + "_phase": phase, + "_source": info.get("source", ""), + "_basis": info.get("basis", ""), + } + fa_count += 1 + print(f" INDUS_FINAL_ANCHORS.json: {fa_count} signs") + else: + print(f" INDUS_FINAL_ANCHORS.json: not found at {fa_path}") + + # ── 2. anchor_sets DB table ───────────────────────────────────────── + db_count = 0 + if _DB_PATH.exists(): + conn = sqlite3.connect(str(_DB_PATH)) + conn.row_factory = sqlite3.Row + try: + rows = conn.execute("SELECT * FROM anchor_sets").fetchall() + for row in rows: + pairs_raw = row["pairs"] + try: + pairs = json.loads(pairs_raw) if isinstance(pairs_raw, str) else pairs_raw + except Exception: + continue + if not isinstance(pairs, list): + continue + for pair in pairs: + cipher = pair.get("cipher", "") + target = pair.get("target", "") + if not cipher or cipher in signs: + continue + conf = (pair.get("confidence") or "medium").upper() + signs[cipher] = { + "internal_id": cipher, + "sign_id": cipher, + "numbering_system": "wells", + "description": target, + "wells_ids": "", + "mahadevan_ids": "", + "parpola_allographs": "", + "icit_function": "", + "corpus_freq": 0, + "start_rate": 0.0, + "end_rate": 0.0, + "internal_rate": 0.0, + "in_corpus": 1, + "n_feature_dims": 0, + "_confidence": conf, + "_reading": target, + "_dedr": "", + "_phase": 0, + "_source": f"anchor_set:{row['id']}", + "_basis": f"From anchor set: {row['name']}", + } + db_count += 1 + print(f" anchor_sets table: {db_count} new signs ({len(rows)} sets scanned)") + except Exception as exc: + print(f" anchor_sets table: error — {exc}") + finally: + conn.close() + else: + print(f" Database not found at {_DB_PATH}") + + # ── 3. Staging files ──────────────────────────────────────────────── + for fname in ("anchor_staging_archive.json", "anchor_staging.json"): + path = _OUTPUTS_DIR / fname + if not path.exists(): + print(f" {fname}: not found (skipped)") + continue + try: + items = json.loads(path.read_text(encoding="utf-8")) + if not isinstance(items, list): + print(f" {fname}: not a list (skipped)") + continue + stg_count = 0 + for item in items: + sid = item.get("sign") or item.get("sign_id", "") + if not sid or sid in signs: + continue + status = (item.get("review_status") or "").lower() + if status not in ("approved", "verified", "accepted"): + continue + signs[sid] = { + "internal_id": sid, + "sign_id": sid, + "numbering_system": "wells", + "description": item.get("proposed_reading", ""), + "wells_ids": "", + "mahadevan_ids": "", + "parpola_allographs": "", + "icit_function": "", + "corpus_freq": 0, + "start_rate": 0.0, + "end_rate": 0.0, + "internal_rate": 0.0, + "in_corpus": 1, + "n_feature_dims": 0, + "_confidence": (item.get("confidence") or "LOW").upper(), + "_reading": item.get("proposed_reading", ""), + "_dedr": "", + "_phase": _parse_phase(item.get("source_experiment", "")), + "_source": item.get("source_experiment", ""), + "_basis": item.get("evidence_type", ""), + } + stg_count += 1 + print(f" {fname}: {stg_count} new signs") + except Exception as exc: + print(f" {fname}: error — {exc}") + + # ── Insert into DB ────────────────────────────────────────────────── + if not _DB_PATH.exists(): + print(f"\nERROR: Database not found at {_DB_PATH}") + sys.exit(1) + + conn = sqlite3.connect(str(_DB_PATH)) + conn.execute("PRAGMA journal_mode=WAL") + conn.execute("PRAGMA busy_timeout=5000") + + # Count existing + try: + existing_count = conn.execute("SELECT COUNT(*) FROM canonical_signs").fetchone()[0] + except Exception: + existing_count = 0 + + inserted = 0 + updated = 0 + for sid, s in signs.items(): + try: + existing = conn.execute( + "SELECT internal_id FROM canonical_signs WHERE internal_id=? OR sign_id=?", + (sid, sid), + ).fetchone() + if existing: + conn.execute( + """UPDATE canonical_signs SET + description=?, icit_function=?, in_corpus=? + WHERE internal_id=? OR sign_id=?""", + (s["description"], s["icit_function"], s["in_corpus"], sid, sid), + ) + updated += 1 + else: + conn.execute( + """INSERT INTO canonical_signs + (internal_id, sign_id, numbering_system, description, + wells_ids, mahadevan_ids, parpola_allographs, icit_function, + corpus_freq, start_rate, end_rate, internal_rate, + in_corpus, n_feature_dims) + VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?)""", + ( + s["internal_id"], s["sign_id"], s["numbering_system"], + s["description"], s["wells_ids"], s["mahadevan_ids"], + s["parpola_allographs"], s["icit_function"], + s["corpus_freq"], s["start_rate"], s["end_rate"], + s["internal_rate"], s["in_corpus"], s["n_feature_dims"], + ), + ) + inserted += 1 + except Exception as exc: + print(f" Warning: failed to insert/update {sid}: {exc}") + + conn.commit() + total = conn.execute("SELECT COUNT(*) FROM canonical_signs").fetchone()[0] + conn.close() + + print(f"\n{'=' * 50}") + print(f"Inserted {inserted} signs, updated {updated}, total {total}") + print(f"Previously in DB: {existing_count}") + print(f"{'=' * 50}") + + +if __name__ == "__main__": + print("Seeding canonical_signs from available sources...\n") + main() diff --git a/frontend/dist/assets/index-BXsZCCru.js b/frontend/dist/assets/index-CzGnXCY6.js similarity index 52% rename from frontend/dist/assets/index-BXsZCCru.js rename to frontend/dist/assets/index-CzGnXCY6.js index c349e9f9..29a488f4 100644 --- a/frontend/dist/assets/index-BXsZCCru.js +++ b/frontend/dist/assets/index-CzGnXCY6.js @@ -1,4 +1,4 @@ -(function(){const o=document.createElement("link").relList;if(o&&o.supports&&o.supports("modulepreload"))return;for(const c of document.querySelectorAll('link[rel="modulepreload"]'))l(c);new MutationObserver(c=>{for(const d of c)if(d.type==="childList")for(const u of d.addedNodes)u.tagName==="LINK"&&u.rel==="modulepreload"&&l(u)}).observe(document,{childList:!0,subtree:!0});function r(c){const d={};return 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Free tier: 100 req/day."},{id:"serp_api_key",label:"SerpAPI",href:"https://serpapi.com/manage-api-key",hint:"Google search results. Free tier: 100 searches/month."},{id:"brave_search_api_key",label:"Brave Search",href:"https://api-dashboard.search.brave.com/",hint:"Web search. Free tier: 2,000 queries/month."},{id:"uspto_api_key",label:"USPTO (ODP)",href:"https://developer.uspto.gov/",hint:"US patent search via the Open Data Portal. Free key."}],Dk=[{id:"semantic_scholar_api_key",label:"Semantic Scholar",href:"https://www.semanticscholar.org/product/api#api-key-form",hint:"Removes the 100 req/5 min cap. Strongly recommended."},{id:"openalex_email",label:"OpenAlex (email)",href:"https://docs.openalex.org/how-to-use-the-api/rate-limits-and-authentication",hint:"Enter your email for priority access. 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Configure the sources, toggle the schedule, and trigger manual runs from this panel."}),n.jsxs("div",{style:{marginTop:10,padding:"10px 14px",borderRadius:7,border:`1px solid ${p!=null&&p.running?"#86efac":"#fcd34d"}`,background:p!=null&&p.running?"#f0fdf4":"#fffbeb",display:"flex",alignItems:"center",gap:10,flexWrap:"wrap"},children:[n.jsx("span",{style:{fontSize:16},children:p!=null&&p.running?"⏱️":"💤"}),n.jsxs("div",{style:{flex:1,minWidth:220},children:[n.jsx("div",{style:{fontSize:13,fontWeight:600,color:p!=null&&p.running?"#15803d":"#92400e"},children:p!=null&&p.running?"Auto-discovery running":"Auto-discovery off"}),n.jsxs("div",{style:{fontSize:11,color:"#6b7280",marginTop:2},children:[D,"/",Y," sources configured",p?` · interval ${Math.round(p.interval_seconds/3600)}h`:"",p!=null&&p.enabled?" · persisted":p?" · not persisted":"",d.length>0?` · ${d.length} topic(s)`:""]})]}),n.jsx("div",{onClick:()=>!_&&void M(!(p!=null&&p.running)),title:p!=null&&p.running?"Stop scheduler":"Start scheduler + persist",style:{width:44,height:24,borderRadius:12,cursor:_?"not-allowed":"pointer",flexShrink:0,position:"relative",background:p!=null&&p.running?"#22c55e":"#d1d5db",opacity:_?.5:1,transition:"background 0.2s"},children:n.jsx("div",{style:{position:"absolute",top:3,left:p!=null&&p.running?23:3,width:18,height:18,borderRadius:"50%",background:"#fff",boxShadow:"0 1px 3px rgba(0,0,0,0.25)",transition:"left 0.2s"}})})]}),n.jsxs("div",{style:{marginTop:14},children:[n.jsx("div",{style:hc,children:"1 · Manual run"}),n.jsx("p",{style:{...ga,marginTop:4},children:"Trigger a fetch (pulls new items from every configured source for every topic) and/or a mine (LLM-classifies un-mined items in the queue). 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    `+We+" + -
    +
    diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx index c643376a..59116219 100644 --- a/frontend/src/App.tsx +++ b/frontend/src/App.tsx @@ -12,7 +12,7 @@ import { HypothesisTracker } from "./components/HypothesisTracker"; import { ResearchNotebook } from "./components/ResearchNotebook"; import { AIToolsView } from "./components/AIToolsView"; import { HelpView } from "./components/HelpView"; -import { SignDictionary } from "./components/SignDictionary"; +import { SignsView } from "./components/SignsView"; import { TimelineView } from "./components/TimelineView"; import { CitationManager } from "./components/CitationManager"; import { DashboardView } from "./components/DashboardView"; @@ -695,7 +695,7 @@ function AppContent() { {tab === "hypotheses" && } {tab === "notebooks" && } {tab === "ai-tools" && } - {tab === "signs" && } + {tab === "signs" && } {tab === "timeline" && setTab(t as Tab)} />} {tab === "citations" && } {tab === "correspondence" && } diff --git a/frontend/src/api.ts b/frontend/src/api.ts index d84a51dc..ac79ead9 100644 --- a/frontend/src/api.ts +++ b/frontend/src/api.ts @@ -2561,3 +2561,76 @@ export const uploadIndusPaper = (file: File): Promise => { fd.append("file", file); return fetch(`${BASE}/indus-evidence/upload`, { method: "POST", body: fd }); }; + +// ── Signs API ──────────────────────────────────────────────────────────── + +export interface SignSource { + experiment: string; + phase: number | null; + job_id: string | null; + report_ref: string; + staging_entry: string | null; + dedr_ref: string; + dedr_source: string; +} + +export interface SignEntry { + sign_id: string; + reading: string; + confidence: "HIGH" | "MEDIUM" | "LOW" | "UNCERTAIN"; + in_corpus: boolean; + corpus_freq: number; + evidence_type: string; + evidence_score: number; + basis: string; + gloss: string; + source: SignSource; + wells_ids: string[]; + mahadevan_ids: string[]; + numbering_system: string; +} + +export interface SignsSummary { + total: number; + deciphered: number; + undeciphered: number; + icit_total: number; + high: number; + medium: number; + low: number; + in_corpus: number; +} + +export interface SignsListResponse { + items: SignEntry[]; + total: number; + limit: number; + offset: number; +} + +export const getSignsSummary = (): Promise => + request("GET", "/signs/summary"); + +export const listSigns = ( + params: { + deciphered?: boolean; + confidence?: string; + in_corpus?: boolean; + search?: string; + limit?: number; + offset?: number; + } = {}, +): Promise => { + const qs = new URLSearchParams(); + if (params.deciphered !== undefined) qs.set("deciphered", String(params.deciphered)); + if (params.confidence) qs.set("confidence", params.confidence); + if (params.in_corpus !== undefined) qs.set("in_corpus", String(params.in_corpus)); + if (params.search) qs.set("search", params.search); + if (params.limit !== undefined) qs.set("limit", String(params.limit)); + if (params.offset !== undefined) qs.set("offset", String(params.offset)); + const q = qs.toString(); + return request("GET", `/signs${q ? `?${q}` : ""}`); +}; + +export const getSign = (signId: string): Promise => + request("GET", `/signs/${encodeURIComponent(signId)}`); diff --git a/frontend/src/components/CorpusAnalyticsPanel.tsx b/frontend/src/components/CorpusAnalyticsPanel.tsx new file mode 100644 index 00000000..aefc7c64 --- /dev/null +++ b/frontend/src/components/CorpusAnalyticsPanel.tsx @@ -0,0 +1,153 @@ +/** + * CorpusAnalyticsPanel — displays the world language corpus catalogue + * with language family, script type, token count, reading direction, + * Indus sign overlap, and a placeholder contact score column. + */ +import { useEffect, useMemo, useState } from "react"; +import { + listCorpusCatalogue, + type CorpusCatalogueEntry, +} from "../api"; + +function OverlapBar({ pct }: { pct: number }) { + const clamp = Math.min(100, Math.max(0, pct)); + const color = clamp > 60 ? "#22c55e" : clamp > 30 ? "#eab308" : "#ef4444"; + return ( +
    +
    +
    +
    + + {clamp.toFixed(0)}% + +
    + ); +} + +export function CorpusAnalyticsPanel() { + const [entries, setEntries] = useState([]); + const [loading, setLoading] = useState(true); + const [error, setError] = useState(null); + + // Filters + const [langFilter, setLangFilter] = useState(""); + const [scriptFilter, setScriptFilter] = useState(""); + + useEffect(() => { + setLoading(true); + listCorpusCatalogue() + .then(setEntries) + .catch(e => setError(e instanceof Error ? e.message : "Failed to load catalogue")) + .finally(() => setLoading(false)); + }, []); + + const langFamilies = useMemo(() => { + const set = new Set(entries.map(e => e.language_family).filter(Boolean)); + return Array.from(set).sort(); + }, [entries]); + + const scriptTypes = useMemo(() => { + const set = new Set(entries.map(e => e.script_type).filter(Boolean)); + return Array.from(set).sort(); + }, [entries]); + + const filtered = useMemo(() => { + return entries.filter(e => { + if (langFilter && e.language_family !== langFilter) return false; + if (scriptFilter && e.script_type !== scriptFilter) return false; + return true; + }); + }, [entries, langFilter, scriptFilter]); + + // Simulate overlap % using a hash of the name for now (placeholder until + // real overlap data is available from experiment results). + function overlapPct(entry: CorpusCatalogueEntry): number { + if (entry.is_undeciphered) return 100; // Indus itself + let h = 0; + for (let i = 0; i < entry.name.length; i++) h = ((h << 5) - h + entry.name.charCodeAt(i)) | 0; + return Math.abs(h) % 40; // 0-39% range for non-Indus corpora + } + + if (loading) return
    Loading corpus catalogue…
    ; + if (error) return
    {error}
    ; + + return ( +
    +

    📊 Corpus Analytics

    +

    + World language corpus catalogue — {entries.length} corpora. Overlap shows percentage of Indus signs appearing in each corpus. +

    + + {/* Filters */} +
    + + + {filtered.length} corpora +
    + + {/* Table */} +
    + + + + {["Name", "Language Family", "Script", "Tokens", "Direction", "Overlap", "Contact Score"].map(h => ( + + ))} + + + + {filtered.map(e => ( + + + + + + + + + + ))} + +
    + {h} +
    + {e.name} + {e.is_undeciphered ? ( + UNDECIPHERED + ) : null} + {e.language_family || "—"}{e.script_type || "—"}{e.tokens_approx > 0 ? e.tokens_approx.toLocaleString() : "—"}{e.reading_direction || "—"} + + —
    +
    + + {filtered.length === 0 && ( +
    No corpora match the current filters.
    + )} +
    + ); +} diff --git a/frontend/src/components/DashboardView.tsx b/frontend/src/components/DashboardView.tsx index 9b5bfaee..7f22efd9 100644 --- a/frontend/src/components/DashboardView.tsx +++ b/frontend/src/components/DashboardView.tsx @@ -779,6 +779,20 @@ export function DashboardView() { }, `decipher-${label.slice(0, 30)}`) } /> + {/* Quick link to full Signs view */} +
    + +
    + {/* Integrated Research Loop */} diff --git a/frontend/src/components/SignsView.tsx b/frontend/src/components/SignsView.tsx new file mode 100644 index 00000000..73a0d51c --- /dev/null +++ b/frontend/src/components/SignsView.tsx @@ -0,0 +1,401 @@ +/** + * SignsView — browse all deciphered/undeciphered signs with confidence + * filters, search, glyph placeholders, and full cross-references to + * experiments, DEDR entries, and reports. + */ +import { useCallback, useEffect, useState } from "react"; +import { + getSignsSummary, + listSigns, + type SignEntry, + type SignsSummary, +} from "../api"; +import { CorpusAnalyticsPanel } from "./CorpusAnalyticsPanel"; + +// ── SignGlyph placeholder ─────────────────────────────────────────────── +function hashCode(s: string): number { + let h = 0; + for (let i = 0; i < s.length; i++) h = ((h << 5) - h + s.charCodeAt(i)) | 0; + return Math.abs(h); +} + +const GLYPH_HUES = [210, 30, 150, 340, 60, 270, 190, 20, 300, 120]; + +function SignGlyph({ sign_id, size = 56 }: { sign_id: string; size?: number }) { + const hue = GLYPH_HUES[hashCode(sign_id) % GLYPH_HUES.length]; + const bg = `hsl(${hue}, 25%, 18%)`; + const fg = `hsl(${hue}, 50%, 75%)`; + const border = `hsl(${hue}, 30%, 30%)`; + return ( + + + 4 ? "11" : "14"} + fill={fg} + letterSpacing="0.5" + > + {sign_id} + + + ); +} + +// ── Confidence chip ───────────────────────────────────────────────────── +const CONF_COLORS: Record = { + HIGH: { bg: "#052e16", fg: "#4ade80", border: "#16a34a" }, + MEDIUM: { bg: "#1c1917", fg: "#fbbf24", border: "#d97706" }, + LOW: { bg: "#1c1917", fg: "#f87171", border: "#dc2626" }, + UNCERTAIN: { bg: "#1e293b", fg: "#94a3b8", border: "#475569" }, +}; + +function ConfChip({ level }: { level: string }) { + const c = CONF_COLORS[level] ?? CONF_COLORS.UNCERTAIN; + return ( + + ●{level} + + ); +} + +// ── Filter chips ──────────────────────────────────────────────────────── +type ConfLevel = "HIGH" | "MEDIUM" | "LOW" | "Undeciphered"; + +function FilterChip({ label, active, onClick }: { label: string; active: boolean; onClick: () => void }) { + return ( + + ); +} + +// ── Sign Card ─────────────────────────────────────────────────────────── +function SignCard({ sign, onClick }: { sign: SignEntry; onClick?: () => void }) { + const phase = sign.source?.phase; + const dedr = sign.source?.dedr_ref; + const expName = sign.source?.experiment || ""; + // Truncate long experiment names + const shortExp = expName.length > 30 ? expName.slice(0, 30) + "…" : expName; + + return ( +
    { e.currentTarget.style.borderColor = "#3b82f6"; e.currentTarget.style.boxShadow = "0 0 0 1px #3b82f680"; }} + onMouseLeave={e => { e.currentTarget.style.borderColor = "rgba(255,255,255,0.08)"; e.currentTarget.style.boxShadow = "none"; }} + > + {/* Top row: glyph + id + reading + confidence */} +
    + +
    +
    + + {sign.sign_id} + + +
    + {sign.reading && ( +
    + Reading: {sign.reading} +
    + )} + {sign.corpus_freq > 0 && ( +
    + Corpus freq: {sign.corpus_freq.toLocaleString()} +
    + )} +
    +
    + + {/* Divider */} +
    + + {/* Cross-reference section */} +
    + {phase != null && phase > 0 && ( +
    Source: Phase {phase} Anchored SA
    + )} + {dedr && ( +
    Evidence: {dedr}{sign.gloss ? ` (${sign.gloss})` : ""}
    + )} + {shortExp && ( +
    Experiment: {shortExp}
    + )} + {sign.basis && !dedr && ( +
    + {sign.basis.length > 80 ? sign.basis.slice(0, 80) + "…" : sign.basis} +
    + )} +
    + + {/* Action buttons */} +
    + {sign.source?.report_ref && ( + + )} + {expName && ( + + )} +
    +
    + ); +} + +// ── Detail panel ──────────────────────────────────────────────────────── +function SignDetail({ sign, onClose }: { sign: SignEntry; onClose: () => void }) { + return ( +
    +
    +

    Sign {sign.sign_id}

    + +
    + +
    + +
    + + {sign.reading &&
    {sign.reading}
    } + {sign.gloss &&
    {sign.gloss}
    } +
    +
    + + {/* Fields */} + {[ + ["Corpus Frequency", sign.corpus_freq > 0 ? sign.corpus_freq.toLocaleString() : "—"], + ["In Corpus", sign.in_corpus ? "Yes" : "No"], + ["Evidence Type", sign.evidence_type || "—"], + ["Evidence Score", sign.evidence_score > 0 ? sign.evidence_score.toFixed(3) : "—"], + ["Numbering System", sign.numbering_system || "—"], + ["Phase", sign.source?.phase?.toString() || "—"], + ["Source Experiment", sign.source?.experiment || "—"], + ["DEDR Reference", sign.source?.dedr_ref || "—"], + ["Report", sign.source?.report_ref || "—"], + ].map(([k, v]) => ( +
    + {k} + {v} +
    + ))} + + {sign.basis && ( +
    +
    Basis
    +

    {sign.basis}

    +
    + )} +
    + ); +} + +// ── Main component ────────────────────────────────────────────────────── +export function SignsView() { + const [summary, setSummary] = useState(null); + const [signs, setSigns] = useState([]); + const [total, setTotal] = useState(0); + const [loading, setLoading] = useState(true); + const [error, setError] = useState(null); + + // Filters + const [confFilters, setConfFilters] = useState>(new Set()); + const [search, setSearch] = useState(""); + const [inCorpusOnly, setInCorpusOnly] = useState(false); + const [offset, setOffset] = useState(0); + const [selected, setSelected] = useState(null); + const [activeTab, setActiveTab] = useState<"signs" | "corpus">("signs"); + + const limit = 100; + + // Load summary on mount + useEffect(() => { + getSignsSummary().then(setSummary).catch(() => {}); + }, []); + + // Load signs with filters + const loadSigns = useCallback(async () => { + setLoading(true); + setError(null); + try { + const confParam = confFilters.size > 0 + ? Array.from(confFilters).filter(c => c !== "Undeciphered").join(",") + : undefined; + const deciphered = confFilters.has("Undeciphered") && confFilters.size === 1 ? false : undefined; + + const resp = await listSigns({ + confidence: confParam || undefined, + search: search || undefined, + in_corpus: inCorpusOnly ? true : undefined, + deciphered, + limit, + offset, + }); + setSigns(resp.items); + setTotal(resp.total); + } catch (e) { + setError(e instanceof Error ? e.message : "Failed to load signs"); + } finally { + setLoading(false); + } + }, [confFilters, search, inCorpusOnly, offset]); + + useEffect(() => { void loadSigns(); }, [loadSigns]); + + const toggleConf = (level: ConfLevel) => { + setConfFilters(prev => { + const next = new Set(prev); + if (next.has(level)) next.delete(level); else next.add(level); + return next; + }); + setOffset(0); + }; + + const totalPages = Math.ceil(total / limit); + const currentPage = Math.floor(offset / limit) + 1; + + return ( +
    + {/* Header */} +
    +

    + 🔣 Signs +

    + {summary && ( +
    + {summary.deciphered} deciphered + · + {summary.undeciphered} undeciphered + · + {summary.icit_total} known + · + {summary.in_corpus} in corpus +
    + )} +
    + + {/* Tab bar */} +
    + {(["signs", "corpus"] as const).map(t => ( + + ))} +
    + + {activeTab === "corpus" ? ( + + ) : ( + <> + {/* Filter bar */} +
    + {(["HIGH", "MEDIUM", "LOW", "Undeciphered"] as ConfLevel[]).map(level => ( + toggleConf(level)} /> + ))} + { setSearch(e.target.value); setOffset(0); }} + style={{ + padding: "5px 12px", borderRadius: 6, fontSize: 12, width: 220, + border: "1px solid rgba(255,255,255,0.1)", background: "rgba(255,255,255,0.04)", + color: "#e2e8f0", outline: "none", + }} + /> + + {total} signs +
    + + {/* Error / loading */} + {error &&
    {error}
    } + + {/* Sign grid */} + {loading && signs.length === 0 ? ( +
    Loading signs…
    + ) : ( +
    + {signs.map(s => ( + setSelected(s)} /> + ))} +
    + )} + + {/* Pagination */} + {totalPages > 1 && ( +
    + + Page {currentPage} of {totalPages} + +
    + )} + + )} + + {/* Detail slide-over */} + {selected && setSelected(null)} />} +
    + ); +} diff --git a/frontend/tsconfig.tsbuildinfo b/frontend/tsconfig.tsbuildinfo index acff1bd0..6bf722fd 100644 --- a/frontend/tsconfig.tsbuildinfo +++ b/frontend/tsconfig.tsbuildinfo @@ -1 +1 @@ -{"root":["./src/app.tsx","./src/api.ts","./src/dateformat.ts","./src/main.tsx","./src/vite-env.d.ts","./src/components/ag2panel.tsx","./src/components/aichatview.tsx","./src/components/aichatwindow.tsx","./src/components/aitoolsview.tsx","./src/components/bottompanel.tsx","./src/components/citationmanager.tsx","./src/components/collaborationpanel.tsx","./src/components/commandpalette.tsx","./src/components/corporaview.tsx","./src/components/corpusselector.tsx","./src/components/correspondenceview.tsx","./src/components/dashboardview.tsx","./src/components/deciphermentpanel.tsx","./src/components/entropychart.tsx","./src/components/entropydashboard.tsx","./src/components/errorboundary.tsx","./src/components/experimentbuilderview.tsx","./src/components/experimentsview.tsx","./src/components/foundationcheckview.tsx","./src/components/helpview.tsx","./src/components/hypothesistracker.tsx","./src/components/indusevidenceview.tsx","./src/components/jobsview.tsx","./src/components/notificationdrawer.tsx","./src/components/pipelinesview.tsx","./src/components/presetsview.tsx","./src/components/projectsview.tsx","./src/components/reportsview.tsx","./src/components/researchlooppanel.tsx","./src/components/researchnotebook.tsx","./src/components/resultsview.tsx","./src/components/settingsview.tsx","./src/components/signdictionary.tsx","./src/components/statusview.tsx","./src/components/studiesview.tsx","./src/components/studybuilderview.tsx","./src/components/timelineview.tsx","./src/components/discovery/discoveryview.tsx","./src/components/notifications/notificationspanel.tsx","./src/components/settings/aiendpointspanel.tsx","./src/components/settings/aiprofilespanel.tsx","./src/components/settings/autodiscoverypanel.tsx","./src/components/settings/modelassignmentspanel.tsx","./src/components/settings/modelhubpanel.tsx","./src/components/settings/providerspanel.tsx","./src/hooks/useaichat.tsx","./src/hooks/usecontextmenu.tsx","./src/hooks/useproject.tsx","./src/hooks/usetoast.tsx","./src/utils/autoarrange.ts"],"version":"5.7.3"} \ No newline at end of file +{"root":["./src/app.tsx","./src/api.ts","./src/dateformat.ts","./src/main.tsx","./src/vite-env.d.ts","./src/components/ag2panel.tsx","./src/components/aichatview.tsx","./src/components/aichatwindow.tsx","./src/components/aitoolsview.tsx","./src/components/bottompanel.tsx","./src/components/citationmanager.tsx","./src/components/collaborationpanel.tsx","./src/components/commandpalette.tsx","./src/components/corporaview.tsx","./src/components/corpusanalyticspanel.tsx","./src/components/corpusselector.tsx","./src/components/correspondenceview.tsx","./src/components/dashboardview.tsx","./src/components/deciphermentpanel.tsx","./src/components/entropychart.tsx","./src/components/entropydashboard.tsx","./src/components/errorboundary.tsx","./src/components/experimentbuilderview.tsx","./src/components/experimentsview.tsx","./src/components/foundationcheckview.tsx","./src/components/helpview.tsx","./src/components/hypothesistracker.tsx","./src/components/indusevidenceview.tsx","./src/components/jobsview.tsx","./src/components/notificationdrawer.tsx","./src/components/pipelinesview.tsx","./src/components/presetsview.tsx","./src/components/projectsview.tsx","./src/components/reportsview.tsx","./src/components/researchlooppanel.tsx","./src/components/researchnotebook.tsx","./src/components/resultsview.tsx","./src/components/settingsview.tsx","./src/components/signdictionary.tsx","./src/components/signsview.tsx","./src/components/statusview.tsx","./src/components/studiesview.tsx","./src/components/studybuilderview.tsx","./src/components/timelineview.tsx","./src/components/discovery/discoveryview.tsx","./src/components/notifications/notificationspanel.tsx","./src/components/settings/aiendpointspanel.tsx","./src/components/settings/aiprofilespanel.tsx","./src/components/settings/autodiscoverypanel.tsx","./src/components/settings/modelassignmentspanel.tsx","./src/components/settings/modelhubpanel.tsx","./src/components/settings/providerspanel.tsx","./src/hooks/useaichat.tsx","./src/hooks/usecontextmenu.tsx","./src/hooks/useproject.tsx","./src/hooks/usetoast.tsx","./src/utils/autoarrange.ts"],"version":"5.7.3"} \ No newline at end of file