"""
Script to upload edited CSV files from the data/ folder back to the HuggingFace dataset.

Upload all configs:
```bash
python upload_datasets.py
```

Upload a single config:
```bash
python upload_datasets.py events
python upload_datasets.py datasets
python upload_datasets.py models
python upload_datasets.py shared_tasks
python upload_datasets.py initiatives
```
"""

import os

import pandas as pd
from datasets import Dataset

# Dataset configuration
DATASET_NAME = "somosnlp/recursos-pln-es"
DATA_FOLDER = "data"

# All available configs in the dataset
CONFIGS = ["datasets", "models", "shared_tasks", "events", "initiatives"]


def upload_config(config_name: str):
    """Upload a specific CSV file as a dataset config."""
    csv_filename = os.path.join(DATA_FOLDER, f"{config_name}.csv")

    if not os.path.exists(csv_filename):
        print(f"❌ File not found: {csv_filename}")
        return False

    try:
        print(f"📤 Uploading {config_name} config from {csv_filename}...")

        # Load CSV file
        df = pd.read_csv(csv_filename)
        print(f"   📊 Loaded {df.shape[0]} rows, {df.shape[1]} columns")

        # Convert to Dataset and push to hub
        dataset = Dataset.from_pandas(df)
        dataset.push_to_hub(
            DATASET_NAME,
            config_name=config_name,
            commit_message=f"Update {config_name} dataset",
            token=True,
        )

        print(f"✅ Successfully uploaded {config_name} config")
        return True

    except Exception as e:
        print(f"❌ Failed to upload {config_name}: {e}")
        return False


def upload_all_datasets():
    """Upload all CSV files as dataset configs."""
    print("🚀 Uploading CSV files to HuggingFace dataset...")
    print(f"Dataset: {DATASET_NAME}")
    print(f"Source folder: {DATA_FOLDER}/")
    print()

    # Check if data folder exists
    if not os.path.exists(DATA_FOLDER):
        print(f"❌ Error: {DATA_FOLDER}/ folder not found!")
        print(f"Run download_datasets.py first to create the CSV files.")
        return

    # Upload each config
    successful_uploads = 0
    total_configs = len(CONFIGS)

    for config_name in CONFIGS:
        if upload_config(config_name):
            successful_uploads += 1
        print()  # Add spacing between configs

    # Summary
    print("=" * 50)
    print(f"📊 Upload Summary:")
    print(f"   Total configs: {total_configs}")
    print(f"   Successfully uploaded: {successful_uploads}")
    print(f"   Failed: {total_configs - successful_uploads}")

    if successful_uploads == total_configs:
        print("🎉 All datasets uploaded successfully!")
        print(
            f"🔗 View updated dataset: https://huggingface.co/datasets/{DATASET_NAME}"
        )
    else:
        print("⚠️  Some uploads failed. Check the errors above.")


def upload_single_config(config_name: str):
    """Upload a single config by name."""
    if config_name not in CONFIGS:
        print(f"❌ Invalid config name: {config_name}")
        print(f"Available configs: {', '.join(CONFIGS)}")
        return

    print(f"🚀 Uploading single config: {config_name}")
    print()

    if upload_config(config_name):
        print("🎉 Upload completed successfully!")
        print(
            f"🔗 View updated dataset: https://huggingface.co/datasets/{DATASET_NAME}"
        )
    else:
        print("❌ Upload failed. Check the error above.")


if __name__ == "__main__":
    import sys

    if len(sys.argv) > 1:
        # Upload specific config
        config_name = sys.argv[1]
        upload_single_config(config_name)
    else:
        # Upload all configs
        upload_all_datasets()