semvec/pypi-packages huggingface dataset:
dsr-files 1.0.3
File handling library for creating, saving, and loading various file types (CSV, JSON, JOBLIB, PDF)
License: MIT
Requires Python: >=3.10

# dsr-files

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File handling library for creating, saving, and loading various file types.

**Version 1.0.0**: This release is breaking and not backward-compatible with prior 0.x versions.

## Features

- **CSV**: Read and write CSV files with pandas
- **JSON**: Save and load JSON data structures
- **JOBLIB**: Serialize Python objects with joblib
- **Excel**: Save and load Excel workbooks (single or multi-sheet)
- **PDF**: Generate PDF documents with text content

## Installation

```bash
pip install dsr-files
```

## Development Installation

```bash
pip install -e ".[dev]"
```

## Usage

### CSV Operations

```python
from dsr_files import save_csv, load_csv, create_csv
import pandas as pd
from pathlib import Path

# Create from dictionary
data = {"name": ["Alice", "Bob"], "age": [30, 25]}
df = create_csv(data)

# Save to CSV
save_csv(df, Path("."), "data")

# Load from CSV
df = load_csv(Path("data.csv"))
```

### JSON Operations

```python
from dsr_files import save_json, load_json
from pathlib import Path

data = {"key": "value", "number": 42}

# Save to JSON
save_json(data, Path("."), "data")

# Load from JSON
data = load_json(Path("data.json"))
```

### JOBLIB Operations

```python
from dsr_files import save_joblib, load_joblib
from pathlib import Path

# Save any Python object
model = {"weights": [1, 2, 3], "config": {}}
save_joblib(model, Path("."), "model")

# Load from JOBLIB
model = load_joblib(Path("model.joblib"))
```

### Excel Operations

```python
from dsr_files import save_excel, load_excel, ExcelSheetConfig
from pathlib import Path
import pandas as pd

sales = pd.DataFrame({"region": ["NA", "EU"], "revenue": [120, 95]})
costs = pd.DataFrame({"region": ["NA", "EU"], "cost": [80, 70]})

# Save multi-sheet workbook
save_excel(
	[
		ExcelSheetConfig(data=sales, sheet_name="Sales"),
		ExcelSheetConfig(data=costs, sheet_name="Costs"),
	],
	Path("."),
	"report",
)

# Load first sheet
df = load_excel(Path("report.xlsx"))
```

### PDF Operations

```python
from dsr_files import save_pdf
from pathlib import Path

# Save text to PDF
content = "Hello, World!\nThis is a PDF document."
save_pdf(content, Path("."), "document", title="My Document")
```

## Testing

```bash
pytest tests/
pytest tests/ --cov=src/dsr_files
```

## License

MIT