Update 2026-05-13 16:43:53

dataclaw-api/app/connectors/csv.py

@@ -0,0 +1,68 @@
+import duckdb
+import pandas as pd
+from typing import List, Dict, Any
+import os
+from app.core.files import resolve_upload_file_path
+
+class CSVConnector:
+    def __init__(self, file_path: str):
+        self.file_path = file_path
+        if not os.path.exists(self.file_path):
+             raise FileNotFoundError(f"CSV file not found: {self.file_path}")
+
+    def _get_table_name(self) -> str:
+        # Normalize table name to be SQL safe-ish
+        base = os.path.splitext(os.path.basename(self.file_path))[0]
+        # Replace non-alphanumeric chars with underscore
+        safe_name = "".join([c if c.isalnum() else "_" for c in base])
+        # Ensure it doesn't start with a number
+        if safe_name and safe_name[0].isdigit():
+            safe_name = f"t_{safe_name}"
+        return safe_name
+
+    def execute_query(self, query: str) -> List[Dict[str, Any]]:
+        conn = duckdb.connect(":memory:")
+        table_name = self._get_table_name()
+        
+        # Register the csv file as a view
+        # read_csv_auto is powerful
+        try:
+            conn.execute(f"CREATE OR REPLACE VIEW {table_name} AS SELECT * FROM read_csv_auto('{self.file_path}')")
+            
+            # Execute the user query
+            # The query should rely on the table name provided in schema
+            df = conn.execute(query).df()
+            return df.to_dict(orient="records")
+        except Exception as e:
+            print(f"CSV Query Error: {e}")
+            raise e
+        finally:
+            conn.close()
+
+    def get_schema(self) -> Dict[str, List[Dict[str, str]]]:
+        conn = duckdb.connect(":memory:")
+        table_name = self._get_table_name()
+        
+        try:
+            conn.execute(f"CREATE OR REPLACE VIEW {table_name} AS SELECT * FROM read_csv_auto('{self.file_path}')")
+            
+            # Get columns
+            columns = conn.execute(f"DESCRIBE {table_name}").fetchall()
+            # col[0] is name, col[1] is type
+            schema = {table_name: [{"name": col[0], "type": col[1]} for col in columns]}
+            return schema
+        except Exception as e:
+            print(f"Error getting schema: {e}")
+            return {}
+        finally:
+            conn.close()
+
+    def test_connection(self) -> bool:
+        try:
+            conn = duckdb.connect(":memory:")
+            conn.execute(f"SELECT * FROM read_csv_auto('{self.file_path}') LIMIT 1")
+            conn.close()
+            return True
+        except Exception as e:
+            print(f"CSV Connection Error: {e}")
+            return False