Create simple json target

README.md

@@ -1,6 +1,6 @@
 # dbterd
 
-Generate the ERD-as-a-code ([DBML](https://dbdiagram.io/d), [Mermaid](https://mermaid-js.github.io/mermaid-live-editor/), [PlantUML](https://plantuml.com/ie-diagram), [GraphViz](https://graphviz.org/), [D2](https://d2lang.com/), [DrawDB](https://drawdb.vercel.app/)) from dbt artifact files (`dbt Core`) or from dbt metadata (`dbt Cloud`)
+Generate the ERD-as-a-code ([DBML](https://dbdiagram.io/d), [Mermaid](https://mermaid-js.github.io/mermaid-live-editor/), [PlantUML](https://plantuml.com/ie-diagram), [GraphViz](https://graphviz.org/), [D2](https://d2lang.com/), [DrawDB](https://drawdb.vercel.app/), [JSON](https://json.org/)) from dbt artifact files (`dbt Core`) or from dbt metadata (`dbt Cloud`)
 
 Entity Relationships are configurably detected by ([docs](https://dbterd.datnguyen.de/latest/nav/guide/cli-references.html#dbterd-run-algo-a)):
 

dbterd/adapters/targets/json.py

@@ -0,0 +1,50 @@
+from typing import Optional, Tuple
+import json
+
+from dbterd.adapters import adapter
+from dbterd.types import Catalog, Manifest
+
+
+
+def run(manifest: Manifest, catalog: Catalog, **kwargs) -> Tuple[str, str]:
+    """Parse dbt artifacts and export Mermaid file
+
+    Args:
+        manifest (dict): Manifest json
+        catalog (dict): Catalog json
+
+    Returns:
+        Tuple(str, str): File name and the Mermaid content
+    """
+    output_file_name = kwargs.get("output_file_name") or "output.json"
+    return (output_file_name, parse(manifest, catalog, **kwargs))
+
+
+def parse(manifest: Manifest, catalog: Catalog, **kwargs) -> str:
+    """Get the DBML content from dbt artifacts
+
+    Args:
+        manifest (dict): Manifest json
+        catalog (dict): Catalog json
+
+    Returns:
+        str: JSON content
+    """
+    algo_module = adapter.load_algo(name=kwargs["algo"])
+    tables, relationships = algo_module.parse(
+        manifest=manifest, catalog=catalog, **kwargs
+    )
+
+    json_data = {"tables": {}, "relationships": []}
+    for table in tables:
+        json_data["tables"][table.name] = {"columns": [{"name": x.name, "type": x.data_type} for x in table.columns]}
+
+
+    for rel in relationships:
+        json_data["relationships"].append({
+            "from": rel.table_map[1],
+            "to": rel.table_map[0],
+            "type": rel.type
+        })
+
+    return json.dumps(json_data, indent=4)