Lightweight Python library and helper script to upload CSV/Excel data and JSON metadata to the Open Energy Platform (OEP). No FastAPI frontend; no maintained CLI argument interface—use the batch script or the programmatic API.

• Programmatic uploader via OepUploader; batch helper script main.py
• Automatic schema creation with primary-key support and type inference
• CSV separator detection (,, ;, tab) and Excel support (.xlsx/.xls)
• Table handling: optional delete/overwrite of existing tables
• Sample datasets under data/ and examples/ for quick testing

• Python 3.8+
• Install dependencies:

pip install -r requirements.txt

• Set OEP API token (get a token):

# macOS/Linux
export OEP_API_TOKEN="your-token-here"

# Windows (CMD)
set OEP_API_TOKEN=your-token-here

# Windows (PowerShell)
$env:OEP_API_TOKEN="your-token-here"

Run from the repo root; the script scans data/ for .json metadata files and uploads the matching .csv files to the configured topic (defaults to sandbox).

pip install -r requirements.txt
export OEP_API_TOKEN="your-token-here"
python main.py

Adjust TOPIC, AUTOMATIC_SCAN, and delete_existing directly in main.py as needed.

from src.oep.uploader import OepUploader

# Ensure PYTHONPATH=src if the package is not installed
uploader = OepUploader(topic="sandbox")

df = uploader.read_data("data/demand/ghd_east.csv")


uploader.upload_complete(
    data_file="data/demand/ghd_east.csv",
    metadata_file="data/demand/ghd_east.json",
    table_name="my_table",
    primary_key="id",
    delete_existing=True,
)

oep-api/
├── src/oep/uploader.py     # OepUploader class
├── main.py                 # Helper script for batch upload from data/
├── data/                   # Sample data (CSV + JSON)
├── examples/               # Additional sample files
├── OEP_UPLOADER_README.md  # Detailed CLI docs (DE)
├── requirements.txt        # Dependencies
└── README.md

• OEP_UPLOADER_README.md – detailed CLI reference with argument table (DE)

• "OEP API token not found": set OEP_API_TOKEN or provide via --token.
• "Table already exists": use delete_existing=True in code or remove the table first.
• "Data/Metadata file not found": verify paths; CSV/JSON must exist.
• CSV parsing off: check separator; the tool tries ,, ;, tab in order.

• Test first in the sandbox topic; use productive schemas carefully.
• For Excel uploads install openpyxl.
• For scripts, ensure oep-client is installed and PYTHONPATH=src is set if the package is not installed.