# Date Validator PySpark
A PySpark utility for validating date completeness in tables.

## Installation
```bash
pip install pyspark-date-validator
```

## Example Usage
### Validating Multiple Tables with `MultipleTablesValidator`

Run checks across multiple tables and raise an error if any have missing dates.

```python
from date_validator import MultipleTablesValidator

# Define table configurations
table_configs = [
    {"table_name": "table1", "start_date": "2023-01-01", "end_date": "2023-01-05", "frequency": "daily"},
    {"table_name": "table2", "start_date": "2023-01-01", "end_date": "2023-03-31", "frequency": "monthly"}
]

# Run validation
validator = MultipleTablesValidator(table_configs)
validator.run_checks()
# Output:
# Missing dates in table 'table1' (daily):
# +----------+
# |  as_at_dt|
# +----------+
# |2023-01-02|
# |2023-01-04|
# |2023-01-05|
# +----------+
# Missing dates in table 'table2' (monthly):
# +----------+
# |  as_at_dt|
# +----------+
# |2023-02-28|
# +----------+
# ValueError: Missing dates detected in one or more tables.
```