Data Import Export Module Overview

Purpose

The Data Import Export module is designed to facilitate seamless data exchange between the system and external sources. It enables developers to import structured data or export user/course/session records efficiently, supporting operations such as data migration and backup creation.

Benefits

Simplifies Data Migration: Streamlines the process of moving data from one system to another.
Ensures Data Integrity: Guarantees accurate and consistent data during transfers.
Flexible Data Formats: Supports both CSV and JSON formats for diverse data handling needs.
Programmatic Operations: Enables developers to integrate import/export functionalities into their workflows using APIs.

Usage Scenarios

Exporting Records: Export user, course, or session records for backups, analysis, or sharing with external systems.
Importing Data: Import structured data from external sources into the system, enhancing data integration capabilities.
API Integration: Utilize APIs for programmatic imports and exports as part of larger application workflows.

Key Features

Supported Formats: Imports/exports in CSV and JSON formats.
Data Filtering: Customizable filters to extract specific records.
Batch Processing: Efficient handling of large datasets through batch operations.
Logging & Error Handling: Comprehensive logging for tracking operations and debugging issues.

This module is essential for developers seeking efficient, reliable, and flexible data management solutions within their applications.

Import/Export Functionality

This module allows administrators to import structured data from CSV or JSON files into the system, as well as export user, course, or session records in the same formats. The functionality supports both batch and single-record operations, making it efficient for large-scale data management.

Data Validation

The module includes robust validation checks to ensure imported data conforms to expected schemas. This helps prevent invalid or corrupted data from entering the system. Invalid entries are flagged with clear error messages for easy troubleshooting.

User Authentication & Authorization

Access to the import/export functionality is restricted to authorized users. Role-based access control ensures that only designated personnel can perform these operations, enhancing security and preventing unauthorized data manipulation.

Export Flexibility

Export operations can be customized by selecting specific fields or applying filters (e.g., exporting records for a particular user or date range). This flexibility allows administrators to tailor the output to meet their needs.

Error Handling & Logging

The module logs all import/export activities, including timestamps, users, and details of any errors encountered. This provides transparency and helps in debugging issues related to data processing.

Scalability

Designed to handle large datasets efficiently, the module supports bulk operations and is optimized for performance even with extensive data volumes. It ensures minimal impact on system resources during import/export processes.

Customizable Formats

The module allows administrators to define custom field mappings and delimiter settings when importing or exporting data. This flexibility accommodates diverse data structures and formats used by different systems.

Session & Record Tracking

Exported records include detailed session information, such as user activity logs and session IDs. This feature is particularly useful for auditing and tracking user behavior within the system.

Data Import Export Module Documentation

This module provides functionality for importing structured data and exporting user/course/session records in CSV or JSON formats.

1. FastAPI Endpoint (Export/Import)

# imports
from fastapi import APIRouter, Depends, HTTPException, UploadFile, File
from fastapi.responses import StreamingResponse
from typing import List
from pydantic import BaseModel
from datetime import date

router = APIRouter()

class DataRecord(BaseModel):
    id: int
    name: str
    email: str
    course: str
    session_date: date
    score: float

# Example endpoint for exporting data as CSV or JSON
@router.get("/export/{format}")
async def export_data(format: str, db_session: Session = Depends(get_db)):
    # Get all records from the database
    records = await get_all_records(db_session)
    
    if format == "csv":
        response = streaming_csv(records)
    elif format in ["json", "pretty"]:
        response = generate_json_response(records, pretty_print=format == "pretty")
    else:
        raise HTTPException(status_code=400, detail="Invalid export format")
    
    return response

@router.post("/import")
async def import_data(
    file: UploadFile = File(...),
    format: str = Form(...)
):
    try:
        # Read and parse the uploaded file
        data = await read_file(file)
        
        if format == "csv":
            records = parse_csv(data)
        elif format == "json":
            records = parse_json(data)
        else:
            raise HTTPException(status_code=400, detail="Invalid import format")
        
        # Validate and save to database
        validate_records(records)
        save_to_database(records)
        
        return {"message": "Data imported successfully"}
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))

2. React UI Component (Import/Export Form)

import React, { useState, useEffect } from 'react';

const DataManagement = () => {
  const [formData, setFormData] = useState({
    selectedFormat: 'csv',
    fileName: '',
    dataPreview: [],
  });

  const handleSubmit = async (e) => {
    e.preventDefault();
    // Handle import/export logic
    console.log(formData);
  };

  return (
    <div className="data-management">
      <h1>Data Import/Export</h1>
      
      <form onSubmit={handleSubmit}>
        <div className="form-group">
          <label>Select Format:</label>
          <select 
            value={formData.selectedFormat}
            onChange={(e) => setFormData({...formData, selectedFormat: e.target.value})}
          >
            <option value="csv">CSV</option>
            <option value="json">JSON</option>
          </select>
        </div>

        <button type="submit" className="btn btn-primary">
          {formData.isImport ? 'Import' : 'Export'}
        </button>
      </form>

      {formData.dataPreview && (
        <div className="preview-section">
          <h2>Preview Data</h2>
          <pre>{JSON.stringify(formData.dataPreview, null, 2)}</pre>
        </div>
      )}
    </div>
  );
};

export default DataManagement;

3. Pydantic Schema (Data Record Structure)

# data_schema.py
from pydantic import BaseModel, EmailStr, conint
from typing import Optional
from datetime import date

class DataRecord(BaseModel):
    id: int
    name: str
    email: EmailStr
    course: str
    session_date: date
    score: conint(gt=0, lt=100)
    status: Literal["active", "completed", "pending"] = "active"
    
    class Config:
        json_schema_extra = {
            "example": {
                "id": 1,
                "name": "<NAME>",
                "email": "<EMAIL>",
                "course": "Data Science",
                "session_date": "2023-10-10",
                "score": 95,
                "status": "completed"
            }
        }

class ImportData(BaseModel):
    records: List[DataRecord]

API Usage Examples

Export as CSV:
```
curl http://localhost:8000/export/csv
```

Import JSON Data:

curl -X POST -F "file=@data.json" -F "format=json" http://localhost:8000/import

Notes

The API uses OAuth2 for authentication (not shown in the code snippets).
React component supports both import and export functionality.
Pydantic models ensure data validation and type safety.

Data Import Export Module Documentation

Overview

The Data Import Export module provides functionalities to import structured data or export user/course/session records in CSV or JSON formats. This module is designed for system administrators and developers who need to manage and transfer data between the system and external sources.

User Management: Manages user accounts, roles, and permissions.
Course Management: Handles course creation, updates, and deletions.
Session Management: Tracks and manages user sessions.
Reporting & Analytics: Generates reports based on system data.
Activity Tracking: Logs user activities for auditing purposes.

Use Cases

Import Users from CSV
Developers can import bulk user records (e.g., email, username, password) to populate the system with new users.
Export Course Data to JSON
Export course details (e.g., course ID, title, description) for external analysis or integration into other platforms.
Bulk Export Session Logs
Export session logs in CSV format to analyze user behavior and identify patterns.
Import Enrollment Data
Import enrollment records from an external source to update the system with new enrollments.
Export User Activity Data for Reporting
Export user activity data (e.g., login timestamps, actions) to generate detailed reports on user engagement.

Integration Tips

Error Handling: Implement proper error handling during imports to manage invalid data formats or duplicate entries gracefully.
Batch Processing: Use batch processing for large exports to avoid performance issues and ensure efficient resource utilization.
Data Validation: Validate imported data against predefined schemas to maintain data integrity.
Authentication: Secure the export functionality by requiring authentication, especially when exporting sensitive data.
File Size Limits: Set appropriate file size limits for exported files to prevent excessive resource consumption.

Configuration Options

Option Name	Description	Default Value
`data_import_export.enabled`	Enables or disables the Data Import Export module.	`true`
`import_csv.file_size_limit`	Maximum allowed file size for CSV imports (in MB).	`50`
`export_json.delimiter`	Delimiter used in JSON exports to handle nested structures.	`,`
`import_mode.strict`	Enforces strict data validation during imports.	`false`
`export_log.enabled`	Enables logging for export operations.	`true`

Conclusion

The Data Import Export module is a powerful tool for developers and administrators to manage data within the system. By leveraging its import/export capabilities, users can efficiently handle data transfers and maintain data integrity.

Data Import Export

Data Import Export Module Overview

Purpose

Benefits

Usage Scenarios

Key Features

Import/Export Functionality

Data Validation

User Authentication & Authorization

Export Flexibility

Error Handling & Logging

Scalability

Customizable Formats

Session & Record Tracking

Data Import Export Module Documentation

1. FastAPI Endpoint (Export/Import)

2. React UI Component (Import/Export Form)

3. Pydantic Schema (Data Record Structure)

API Usage Examples

Notes

Data Import Export Module Documentation

Overview

Related Modules

Use Cases

Integration Tips

Configuration Options

Conclusion