| |
| """CSV File Handler Plugin""" |
| import pandas as pd |
| from typing import Dict, Any |
| from pathlib import Path |
|
|
| class CSVHandler: |
| """Handle CSV files with auto-detection.""" |
| def __init__(self): |
| self.supported_extensions = ['.csv', '.tsv', '.txt'] |
| |
| def can_handle(self, filename: str) -> bool: |
| return Path(filename).suffix.lower() in self.supported_extensions |
| |
| def load(self, file_path: str) -> Dict[str, Any]: |
| delimiter = ',' |
| try: |
| for d in [',', '\t', ';', '|']: |
| try: |
| df = pd.read_csv(file_path, delimiter=d, nrows=5) |
| if len(df.columns) > 1: |
| delimiter = d |
| df = pd.read_csv(file_path, delimiter=delimiter) |
| break |
| except: continue |
| metadata = {"total_rows": len(df), "delimiter": delimiter} |
| return {"success": True, "data": df, "metadata": metadata, "file_type": "csv"} |
| except Exception as e: |
| return {"success": False, "error": f"Failed to load CSV: {str(e)}", "file_type": "csv"} |
| |
| def preview(self, data: Dict[str, Any], max_rows: int = 5) -> str: |
| if not data.get("success"): |
| return f"<p class='text-red-500'>Error: {data.get('error')}</p>" |
| html = f"<h4>📄 CSV File</h4><p><strong>Rows:</strong> {data['metadata']['total_rows']:,}</p>" |
| df = data["data"] |
| html += df.head(max_rows).to_html(index=False, classes="preview-table border w-full text-xs") |
| return html |
|
|
