---
name: graph_explorer
lang: cpp
domain: viz
description: "Visor de grafos GPU-accelerated agnostico del backend. Lee operations.db de cualquier app del registry y permite explorar entidades/relaciones con shapes/iconos/layouts/filtros."
tags: [imgui, graph, osint, visualization, gpu]
uses_functions:
  # viz
  - graph_renderer_cpp_viz
  - graph_force_layout_cpp_viz
  - graph_force_layout_gpu_cpp_viz
  - graph_layouts_cpp_viz
  - graph_viewport_cpp_viz
  - graph_viewport_selection_cpp_viz
  - graph_labels_cpp_viz
  - graph_labels_select_cpp_viz
  - graph_icons_cpp_viz
  - graph_sources_cpp_viz
  - graph_types_cpp_viz
  # data_table stack — issue 0081-J: panel Table migrado a data_table::render
  - data_table_cpp_viz
  - viz_render_cpp_viz
  - compute_stage_cpp_core
  - compute_pipeline_cpp_core
  - tql_emit_cpp_core
  - tql_apply_cpp_core
  - lua_engine_cpp_core
  - join_tables_cpp_core
  - auto_detect_type_cpp_core
  - compute_column_stats_cpp_core
  - llm_anthropic_cpp_core
  - tql_to_sql_cpp_core
  # core
  - graph_spatial_hash_cpp_core
  - button_cpp_core
  - icon_button_cpp_core
  - toolbar_cpp_core
  - modal_dialog_cpp_core
  - text_input_cpp_core
  - select_cpp_core
  - tree_view_cpp_core
  - page_header_cpp_core
  - fullscreen_window_cpp_core
  - badge_cpp_core
  - empty_state_cpp_core
  # paste & extract panel (issue 0013) — invoca enrichers/paste_extract/run.py
  # via subprocess directo (no via jobs); uses extract_iocs + opcional hybrid.
  - extract_iocs_py_cybersecurity
  - extract_graph_hybrid_py_pipelines
uses_types: []
framework: "imgui"
entry_point: "main.cpp"
dir_path: "projects/osint_graph/apps/graph_explorer"
repo_url: "https://gitea-dgg044oo04woo4ggcsws4gk0.organic-machine.com/dataforge/graph_explorer"
python_runtime: true
python_runtime_deps:
  - requests
  - certifi
  - urllib3
  - cryptography

# Validacion end-to-end (fase 4 del bucle reactivo). Ver issue 0068.
# C++ ImGui app: build con cmake, smoke via --self-test, tests pytest WSL.
e2e_checks:
  - id: build
    cmd: "cmake --build build --target graph_explorer -j"
    timeout_s: 300
    expect_exit: 0
  - id: tests_pytest_wsl
    cmd: "cd tests && python3 -m pytest -x -q"
    timeout_s: 180
    expect_exit: 0
  - id: smoke_self_test
    cmd: "./build/graph_explorer --self-test"
    timeout_s: 30
    expect_exit: 0
  - id: enricher_fetch_webpage
    cmd: "./build/graph_explorer --run-enricher fetch_webpage --target https://example.com --json"
    timeout_s: 60
    expect_stdout_contains: "\"status\":\"done\""
  - id: ops_audit
    ref: "fn-recopilador:projects/osint_graph/apps/graph_explorer"
---

## Arquitectura

App C++ ImGui para explorar cualquier `operations.db` del registry como un grafo
de entidades y relaciones. Agnostica del backend — el dispatcher en
`data.{h,cpp}` selecciona el `GraphLoadFn` segun `--input` (hoy solo
`operations`, manana `json`/`jsonl`/`graphml`).

**Capas:**

- `data.{h,cpp}` — dispatcher de sources. Hoy unica implementacion:
  `graph_load_from_operations` (issue 0049g).
- `types_registry.{h,cpp}` — parser minimo de YAML para sobrescribir
  `color`/`shape`/`icon`/`style` por nombre de tipo. Construye el `IconAtlas`
  con los codepoints Tabler resueltos por `tabler_codepoint_by_name`.
- `views.{h,cpp}` — paneles `Toolbar`, `Legend`, `Inspector`, `Stats`. Toggle
  via `AppConfig::panels`.
- `main.cpp` — CLI + `fn::run_app` + bucle de force layout (CPU/GPU) + glue.
- `graph_explorer.db` — SQLite junto al exe. Tabla `layouts(graph_hash,
  node_id, x, y, pinned, updated_at)`. Persistencia de posiciones por grafo.

## CLI

```bash
graph_explorer [<operations.db>]
graph_explorer --input operations <path>
graph_explorer --types <yaml>
graph_explorer --layout force|grid|circular|radial|hierarchical|fixed
graph_explorer apps/registry_dashboard/operations.db
graph_explorer --types projects/osint_graph/apps/graph_explorer/examples/types.yaml \
               apps/element_agents/operations.db
```

## Build

```bash
cd cpp
cmake -B build/linux -S .
cmake --build build/linux --target graph_explorer -j$(nproc)
./build/linux/apps/graph_explorer/graph_explorer apps/registry_dashboard/operations.db
```

## Notas

- Usa GPU layout si el contexto soporta compute 4.3; toggle CPU/GPU desde la
  toolbar. Fallback transparente a CPU si GPU no esta disponible.
- 50k nodos a 60fps con layout GPU (medido en demos/graph en
  `primitives_gallery`).
- `operations.db` se abre con `mode=ro` cuando el path no apunta al
  filesystem propio para evitar lock con otras apps que esten escribiendo.
- El `graph_hash` se calcula a partir del path canonico del input. Mismo path
  = mismo grafo a efectos de layout guardado.

### Pipeline NER+RE disponible en el registry (2026-05-04)

Tras la investigacion del analysis `gliner_glirel_tuning` (proyecto `osint_graph`), el stack completo de extraccion de entidades + relaciones desde texto / PDF esta listo como funciones del registry. **Esto desbloquea los issues 0041 y 0042**:

```python
# Pipeline E2E recomendado (texto -> grafo)
from pipelines.extract_graph_from_text import extract_graph_from_text
from datascience.gliner2_load_model import gliner2_load_model

model = gliner2_load_model()  # Apache 2.0, NER+RE joint, 340M params
result = extract_graph_from_text(text, ENTITY_LABELS, RELATION_LABELS, ALLOWED, model)
# result = {'nodes': [...], 'edges': [...], 'stats': {...}}
```

Componentes (mira `python/functions/{core,datascience,pipelines}/`):
- **core (puras):** `clean_pdf_text`, `chunk_with_overlap`, `merge_entity_aliases`, `filter_relations_by_entity_types`, `aggregate_extraction_results`.
- **datascience (impuras):** `gliner2_load_model`, `extract_graph_gliner2`, `spacy_es_load_model`, `extract_triples_spacy_es` (OpenIE schema-less ES).
- **pipelines:** `extract_graph_from_text` — composicion E2E.

Recetas validadas en notebooks 04-08 del analysis y vaultadas en `vaults/osint_nlp_models/`:
- `threshold=0.3` (vs default 0.5) para GLiNER2.
- snake_case verbal labels (`works_at`, `ceo_of`...).
- `chunk_with_overlap` para texto > 1500 chars.
- `filter_relations_by_entity_types` para descartar `Madrid president_of Persona`.
- `merge_entity_aliases` para fusionar `BBVA` ⊂ `Banco Bilbao Vizcaya Argentaria, S.A.`.
- spaCy ES dep-rules como capa OpenIE schema-less complementaria (predicado = verbo del texto).

Issues que desbloquea: `issues/0041-split-confidence-thresholds.md` y `issues/0042-gliner2-unified-extractor.md`. El registry tiene todas las funciones necesarias; solo falta cablearlas en `extract_graph_hybrid_py_pipelines` y el panel `paste_extract`.

Playground de referencia: `projects/osint_graph/analysis/gliner_glirel_tuning/playground/` (FastAPI + Sigma.js, sirviendo en `localhost:7878`).
