## detailed_validate()


Validate data against a schema with detailed error reporting.


Usage


``` python
detailed_validate(
    schema,
    data,
    strict=True,
)
```


Performs comprehensive validation of `data` against the provided `schema` dictionary. Each key in the schema maps to a type or validator specification.


## Parameters


`schema: dict`  
Validation schema. Keys are field names, values are type objects or callable validators. Example::

    schema = {
        "name": str,
        "age": int,
        "email": lambda x: "@" in x,
    }

`data: dict`  
Data dictionary to validate.

`strict: bool = ``True`  
If True (default), raise on first error. If False, collect all errors and return them.


## Returns


`dict`  
Validation report with keys:

- `"valid"` (bool) -- overall result
- `"errors"` (list) -- list of error messages
- `"fields_checked"` (int) -- count of fields validated


## Raises


`ValueError`  
If `strict=True` and validation fails.

`KeyError`  
If schema references a field not present in data.


## Notes

Schema validators receive the value and should return True for valid data or raise an exception/return False for invalid.


## Examples

``` python
>>> detailed_validate({"name": str}, {"name": "Alice"})
```

{'valid': True, 'errors': \[\], 'fields_checked': 1}