From 5e92ddf6b2e597e7e6140a1da08407b21b347982 Mon Sep 17 00:00:00 2001
From: 7000pctAUTO <lukems3823@gmail.com>
Date: Sun, 1 Feb 2026 19:01:14 +0000
Subject: [PATCH] Add converter modules (JSON, YAML, TOML, CSV)

---
 src/converters/csv_converter.py | 98 +++++++++++++++++++++++++++++++++
 1 file changed, 98 insertions(+)
 create mode 100644 src/converters/csv_converter.py

diff --git a/src/converters/csv_converter.py b/src/converters/csv_converter.py
new file mode 100644
index 0000000..97b54e5
--- /dev/null
+++ b/src/converters/csv_converter.py
@@ -0,0 +1,98 @@
+"""CSV converter module."""
+
+from typing import Any
+import pandas as pd
+from io import StringIO
+
+from .base import BaseConverter, ConversionResult
+
+
+class CSVConverter(BaseConverter):
+    """Converter for CSV format."""
+    
+    format_name = 'csv'
+    extensions = ('.csv',)
+    
+    def loads(self, content: str) -> Any:
+        """Parse CSV string to pandas DataFrame.
+        
+        Args:
+            content: CSV string content
+            
+        Returns:
+            pandas DataFrame
+            
+        Raises:
+            pd.errors.EmptyDataError: If content is empty
+            pd.errors.ParserError: If content is not valid CSV
+        """
+        return pd.read_csv(StringIO(content))
+    
+    def dumps(self, data: Any, indent: int = 2) -> str:
+        """Serialize data to CSV string.
+        
+        Args:
+            data: DataFrame or list of dicts to serialize
+            indent: Ignored for CSV (no indentation)
+            
+        Returns:
+            CSV string representation
+        """
+        if isinstance(data, pd.DataFrame):
+            return data.to_csv(index=False)
+        elif isinstance(data, list) and data:
+            df = pd.DataFrame(data)
+            return df.to_csv(index=False)
+        else:
+            return ""
+    
+    def convert(self, content: str, target_converter: BaseConverter, indent: int = 2) -> ConversionResult:
+        """Convert content from CSV to another format.
+        
+        Args:
+            content: CSV source content
+            target_converter: Target format converter
+            indent: Indentation for output
+            
+        Returns:
+            ConversionResult with converted data or error
+        """
+        try:
+            df = self.loads(content)
+            data = df.to_dict(orient='records')
+            result = target_converter.dumps(data, indent=indent)
+            return ConversionResult(
+                success=True,
+                data=result,
+                source_format=self.format_name,
+                target_format=target_converter.format_name
+            )
+        except Exception as e:
+            return ConversionResult(
+                success=False,
+                error=str(e),
+                source_format=self.format_name,
+                target_format=target_converter.format_name
+            )
+    
+    def read_file(self, filepath: str) -> str:
+        """Read CSV content from file.
+        
+        Args:
+            filepath: Path to CSV file
+            
+        Returns:
+            File content as string
+        """
+        with open(filepath, 'r', encoding='utf-8') as f:
+            return f.read()
+    
+    def write_file(self, filepath: str, content: str) -> None:
+        """Write CSV content to file.
+        
+        Args:
+            filepath: Path to file
+            content: CSV content to write
+        """
+        with open(filepath, 'w', encoding='utf-8') as f:
+            f.write(content)