From 40c1f1aef3487c839d92c1b9e280dcdb97624ce8 Mon Sep 17 00:00:00 2001
From: 7000pctAUTO <lukems3823@gmail.com>
Date: Wed, 4 Feb 2026 21:55:17 +0000
Subject: [PATCH] Add validators, generators, and utils modules

---
 config_converter/generators/typescript.py | 125 ++++++++++++++++++++++
 1 file changed, 125 insertions(+)
 create mode 100644 config_converter/generators/typescript.py

diff --git a/config_converter/generators/typescript.py b/config_converter/generators/typescript.py
new file mode 100644
index 0000000..79e9fee
--- /dev/null
+++ b/config_converter/generators/typescript.py
@@ -0,0 +1,125 @@
+"""TypeScript interface generator."""
+
+from typing import Any, Dict, List, Optional
+
+from config_converter.validators.schema import InferredSchema, SchemaProperty, SchemaInferrer, SchemaType
+
+
+class TypeScriptGenerator:
+    """Generates TypeScript interfaces from inferred schemas."""
+
+    PYTHON_TO_TS: Dict[str, str] = {
+        SchemaType.NULL: "null",
+        SchemaType.BOOLEAN: "boolean",
+        SchemaType.NUMBER: "number",
+        SchemaType.INTEGER: "number",
+        SchemaType.STRING: "string",
+        SchemaType.ARRAY: "Array<unknown>",
+        SchemaType.OBJECT: "Record<string, unknown>",
+    }
+
+    def __init__(self, interface_name: str = "Config"):
+        self.interface_name = interface_name
+        self.inferrer = SchemaInferrer()
+
+    def generate(self, data: Any) -> str:
+        """Generate TypeScript interface from data."""
+        schema = self.inferrer.infer(data)
+        return self._generate_interface(schema, self.interface_name)
+
+    def generate_from_schema(self, schema: InferredSchema, interface_name: Optional[str] = None) -> str:
+        """Generate TypeScript interface from schema."""
+        name = interface_name or self.interface_name
+        return self._generate_interface(schema, name)
+
+    def _generate_interface(self, schema: InferredSchema, name: str) -> str:
+        """Generate a TypeScript interface."""
+        if schema.root_type == SchemaType.ARRAY:
+            return self._generate_array_interface(schema, name)
+        elif schema.root_type == SchemaType.OBJECT:
+            return self._generate_object_interface(schema, name)
+        else:
+            return self._generate_simple_interface(schema, name)
+
+    def _generate_object_interface(self, schema: InferredSchema, name: str) -> str:
+        """Generate TypeScript interface for object type."""
+        lines = [f"export interface {name} {{"]
+        nested_interfaces: List[str] = []
+
+        for prop in schema.properties or []:
+            prop_type = self._get_property_type(prop, nested_interfaces)
+            lines.append(f"  {prop.name}: {prop_type};")
+
+        lines.append("}")
+
+        if nested_interfaces:
+            lines.append("")
+            lines.extend(nested_interfaces)
+
+        return "\n".join(lines)
+
+    def _generate_array_interface(self, schema: InferredSchema, name: str) -> str:
+        """Generate TypeScript interface for array type."""
+        if schema.items:
+            if schema.items.type == SchemaType.OBJECT and schema.items.properties:
+                item_name = f"{name}Item"
+                nested_interfaces: List[str] = []
+                item_type = self._get_property_type(schema.items, nested_interfaces, item_name)
+
+                lines = [f"export type {name} = {item_type};"]
+
+                if nested_interfaces:
+                    lines.append("")
+                    lines.extend(nested_interfaces)
+
+                return "\n".join(lines) if lines else f"export type {name} = unknown[];"
+
+        return f"export type {name} = {self.PYTHON_TO_TS.get(schema.root_type, 'unknown[]')};"
+
+    def _generate_simple_interface(self, schema: InferredSchema, name: str) -> str:
+        """Generate TypeScript type alias for simple type."""
+        ts_type = self.PYTHON_TO_TS.get(schema.root_type, "unknown")
+        return f"export type {name} = {ts_type};"
+
+    def _get_property_type(
+        self, prop: SchemaProperty, nested_interfaces: List[str], prefix: str = ""
+    ) -> str:
+        """Get TypeScript type for a property."""
+        ts_type = self.PYTHON_TO_TS.get(prop.type, "unknown")
+
+        if prop.type == SchemaType.OBJECT and prop.properties:
+            interface_name = prefix or self._to_camel_case(prop.name)
+            interface_code = self._generate_object_interface(
+                InferredSchema(root_type=SchemaType.OBJECT, properties=prop.properties),
+                interface_name,
+            )
+            if interface_code not in nested_interfaces:
+                nested_interfaces.append(interface_code)
+            return interface_name
+
+        if prop.type == SchemaType.ARRAY and prop.items:
+            if prop.items.type == SchemaType.OBJECT and prop.items.properties:
+                item_name = f"{self._to_camel_case(prop.name)}Item"
+                item_interface = self._generate_object_interface(
+                    InferredSchema(root_type=SchemaType.OBJECT, properties=prop.items.properties),
+                    item_name,
+                )
+                if item_interface not in nested_interfaces:
+                    nested_interfaces.append(item_interface)
+                ts_type = f"{item_name}[]"
+            else:
+                item_type = self.PYTHON_TO_TS.get(prop.items.type, "unknown")
+                ts_type = f"Array<{item_type}>"
+
+        return ts_type
+
+    def _to_camel_case(self, name: str) -> str:
+        """Convert snake_case or kebab-case to PascalCase."""
+        parts = name.replace("-", "_").split("_")
+        return "".join(part.capitalize() for part in parts if part)
+
+    def generate_from_json(self, json_str: str) -> str:
+        """Generate TypeScript from JSON string."""
+        import json
+        data = json.loads(json_str)
+        return self.generate(data)