feat: funciones Python datascience, finance, cybersecurity y pipelines

Datascience: aggregate_by_group, deduplicate_entities/relations, detect_drift, diff_entities/relations, extract_entities/relations_llm, hotness_score, melt, merge_graphs, pivot, build_entity/relation_schema_prompt. Finance: avellaneda_stoikov_quotes, generate_gbm_prices, generate_taker_order, hawkes_intensity + módulo finance.py. Cybersecurity: envelope_encrypt/decrypt + módulo cybersecurity.py. Pipelines: extraction_pipeline, monte_carlo_market, run_market_sim. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-05 17:11:32 +02:00
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+---
+name: build_entity_schema_prompt
+kind: function
+lang: py
+domain: datascience
+version: "1.0.0"
+purity: pure
+signature: "def build_entity_schema_prompt(entity_presets: list[dict]) -> str"
+description: "Genera la seccion del system prompt que describe los entity types disponibles para extraccion. Formatea los presets del registry en texto legible para el LLM."
+tags: [prompt, llm, entity, schema, osint, graph, extraction]
+uses_functions: []
+uses_types: []
+returns: []
+returns_optional: false
+error_type: ""
+imports: []
+tested: true
+tests:
+  - "lista con varios presets"
+  - "lista vacia retorna string vacio"
+  - "preset sin metadata_fields"
+test_file_path: "python/functions/datascience/build_entity_schema_prompt_test.py"
+file_path: "python/functions/datascience/build_entity_schema_prompt.py"
+---
+
+## Ejemplo
+
+```python
+from build_entity_schema_prompt import build_entity_schema_prompt
+
+presets = [
+    {
+        "type_ref": "osint_person_go_cybersecurity",
+        "label": "Person",
+        "metadata_fields": ["full_name", "alias", "nationality", "dob", "risk_score"],
+    },
+    {
+        "type_ref": "osint_organization_go_cybersecurity",
+        "label": "Organization",
+        "metadata_fields": ["legal_name", "country", "sector", "founded", "risk_score"],
+    },
+]
+
+prompt = build_entity_schema_prompt(presets)
+# Entity types available for extraction:
+#
+# 1. Person (type_ref: osint_person_go_cybersecurity)
+#    Attributes: full_name, alias, nationality, dob, risk_score
+#
+# 2. Organization (type_ref: osint_organization_go_cybersecurity)
+#    Attributes: legal_name, country, sector, founded, risk_score
+```
+
+## Notas
+
+Funcion pura. No requiere dependencias externas.
+
+El formato de salida es deliberadamente sencillo para maximizar la comprension por el LLM: numero de orden, label humano, type_ref del registry y lista de atributos en una sola linea.
+
+Si un preset no tiene `metadata_fields` (o tiene lista vacia), se omite la linea de atributos.
+
+Pensada para componer con `build_relation_schema_prompt` al construir el system prompt completo de extraccion de grafos OSINT.