"""

This module provides a number of classes for validating input.

See [Validating Input](/widgets/input/#validating-input) for details.

"""

from __future__ import annotations

import math
import re
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from typing import Callable, Pattern, Sequence
from urllib.parse import urlparse

import rich.repr


@dataclass
class ValidationResult:
    """The result of calling a `Validator.validate` method."""

    failures: Sequence[Failure] = field(default_factory=list)
    """A list of reasons why the value was invalid. Empty if valid=True"""

    @staticmethod
    def merge(results: Sequence["ValidationResult"]) -> "ValidationResult":
        """Merge multiple ValidationResult objects into one.

        Args:
            results: List of ValidationResult objects to merge.

        Returns:
            Merged ValidationResult object.
        """
        is_valid = all(result.is_valid for result in results)
        failures = [failure for result in results for failure in result.failures]
        if is_valid:
            return ValidationResult.success()
        else:
            return ValidationResult.failure(failures)

    @staticmethod
    def success() -> ValidationResult:
        """Construct a successful ValidationResult.

        Returns:
            A successful ValidationResult.
        """
        return ValidationResult()

    @staticmethod
    def failure(failures: Sequence[Failure]) -> ValidationResult:
        """Construct a failure ValidationResult.

        Args:
            failures: The failures.

        Returns:
            A failure ValidationResult.
        """
        return ValidationResult(failures)

    @property
    def failure_descriptions(self) -> list[str]:
        """Utility for extracting failure descriptions as strings.

        Useful if you don't care about the additional metadata included in the `Failure` objects.

        Returns:
            A list of the string descriptions explaining the failing validations.
        """
        return [
            failure.description
            for failure in self.failures
            if failure.description is not None
        ]

    @property
    def is_valid(self) -> bool:
        """True if the validation was successful."""
        return len(self.failures) == 0


@dataclass
class Failure:
    """Information about a validation failure."""

    validator: Validator
    """The Validator which produced the failure."""
    value: str | None = None
    """The value which resulted in validation failing."""
    description: str | None = None
    """An optional override for describing this failure. Takes precedence over any messages set in the Validator."""

    def __post_init__(self) -> None:
        # If a failure message isn't supplied, try to get it from the Validator.
        if self.description is None:
            if self.validator.failure_description is not None:
                self.description = self.validator.failure_description
            else:
                self.description = self.validator.describe_failure(self)

    def __rich_repr__(self) -> rich.repr.Result:  # pragma: no cover
        yield self.value
        yield self.validator
        yield self.description


class Validator(ABC):
    """Base class for the validation of string values.

    Commonly used in conjunction with the `Input` widget, which accepts a
    list of validators via its constructor. This validation framework can also be used to validate any 'stringly-typed'
    values (for example raw command line input from `sys.args`).

    To implement your own `Validator`, subclass this class.

    Example:
        ```python
        class Palindrome(Validator):
            def validate(self, value: str) -> ValidationResult:
                def is_palindrome(value: str) -> bool:
                    return value == value[::-1]
                return self.success() if is_palindrome(value) else self.failure("Not palindrome!")
        ```
    """

    def __init__(self, failure_description: str | None = None) -> None:
        self.failure_description = failure_description
        """A description of why the validation failed.

        The description (intended to be user-facing) to attached to the Failure if the validation fails.
        This failure description is ultimately accessible at the time of validation failure  via the `Input.Changed`
        or `Input.Submitted` event, and you can access it on your message handler (a method called, for example,
        `on_input_changed` or a method decorated with `@on(Input.Changed)`.
        """

    @abstractmethod
    def validate(self, value: str) -> ValidationResult:
        """Validate the value and return a ValidationResult describing the outcome of the validation.

        Args:
            value: The value to validate.

        Returns:
            The result of the validation.
        """

    def describe_failure(self, failure: Failure) -> str | None:
        """Return a string description of the Failure.

        Used to provide a more fine-grained description of the failure. A Validator could fail for multiple
        reasons, so this method could be used to provide a different reason for different types of failure.

        !!! warning

            This method is only called if no other description has been supplied. If you supply a description
            inside a call to `self.failure(description="...")`, or pass a description into the constructor of
            the validator, those will take priority, and this method won't be called.

        Args:
            failure: Information about why the validation failed.

        Returns:
            A string description of the failure.
        """
        return self.failure_description

    def success(self) -> ValidationResult:
        """Shorthand for `ValidationResult(True)`.

        You can return success() from a `Validator.validate` method implementation to signal
        that validation has succeeded.

        Returns:
            A ValidationResult indicating validation succeeded.
        """
        return ValidationResult()

    def failure(
        self,
        description: str | None = None,
        value: str | None = None,
        failures: Failure | Sequence[Failure] | None = None,
    ) -> ValidationResult:
        """Shorthand for signaling validation failure.

        You can return failure(...) from a `Validator.validate` implementation to signal validation succeeded.

        Args:
            description: The failure description that will be used. When used in conjunction with the Input widget,
                this is the description that will ultimately be available inside the handler for `Input.Changed`. If not
                supplied, the `failure_description` from the `Validator` will be used. If that is not supplied either,
                then the `describe_failure` method on `Validator` will be called.
            value: The value that was considered invalid. This is optional, and only needs to be supplied if required
                in your `Input.Changed` handler.
            failures: The reasons the validator failed. If not supplied, a generic `Failure` will be included in the
                ValidationResult returned from this function.

        Returns:
            A ValidationResult representing failed validation, and containing the metadata supplied
                to this function.
        """
        if isinstance(failures, Failure):
            failures = [failures]

        result = ValidationResult(
            failures or [Failure(validator=self, value=value, description=description)],
        )
        return result


class Regex(Validator):
    """A validator that checks the value matches a regex (via `re.fullmatch`)."""

    def __init__(
        self,
        regex: str | Pattern[str],
        flags: int | re.RegexFlag = 0,
        failure_description: str | None = None,
    ) -> None:
        super().__init__(failure_description=failure_description)
        self.regex = regex
        """The regex which we'll validate is matched by the value."""
        self.flags = flags
        """The flags to pass to `re.fullmatch`."""

    class NoResults(Failure):
        """Indicates validation failed because the regex could not be found within the value string."""

    def validate(self, value: str) -> ValidationResult:
        """Ensure that the value matches the regex.

        Args:
            value: The value that should match the regex.

        Returns:
            The result of the validation.
        """
        regex = self.regex
        has_match = re.fullmatch(regex, value, flags=self.flags) is not None
        if not has_match:
            failures = [Regex.NoResults(self, value)]
            return self.failure(failures=failures)
        return self.success()

    def describe_failure(self, failure: Failure) -> str | None:
        """Describes why the validator failed.

        Args:
            failure: Information about why the validation failed.

        Returns:
            A string description of the failure.
        """
        return f"Must match regular expression {self.regex!r} (flags={self.flags})."


class Number(Validator):
    """Validator that ensures the value is a number, with an optional range check."""

    def __init__(
        self,
        minimum: float | None = None,
        maximum: float | None = None,
        failure_description: str | None = None,
    ) -> None:
        super().__init__(failure_description=failure_description)
        self.minimum = minimum
        """The minimum value of the number, inclusive. If `None`, the minimum is unbounded."""
        self.maximum = maximum
        """The maximum value of the number, inclusive. If `None`, the maximum is unbounded."""

    class NotANumber(Failure):
        """Indicates a failure due to the value not being a valid number (decimal/integer, inc. scientific notation)"""

    class NotInRange(Failure):
        """Indicates a failure due to the number not being within the range [minimum, maximum]."""

    def validate(self, value: str) -> ValidationResult:
        """Ensure that `value` is a valid number, optionally within a range.

        Args:
            value: The value to validate.

        Returns:
            The result of the validation.
        """
        try:
            float_value = float(value)
        except ValueError:
            return ValidationResult.failure([Number.NotANumber(self, value)])

        if math.isnan(float_value) or math.isinf(float_value):
            return ValidationResult.failure([Number.NotANumber(self, value)])

        if not self._validate_range(float_value):
            return ValidationResult.failure(
                [Number.NotInRange(self, value)],
            )
        return self.success()

    def _validate_range(self, value: float) -> bool:
        """Return a boolean indicating whether the number is within the range specified in the attributes."""
        if self.minimum is not None and value < self.minimum:
            return False
        if self.maximum is not None and value > self.maximum:
            return False
        return True

    def describe_failure(self, failure: Failure) -> str | None:
        """Describes why the validator failed.

        Args:
            failure: Information about why the validation failed.

        Returns:
            A string description of the failure.
        """
        if isinstance(failure, Number.NotANumber):
            return "Must be a valid number."
        elif isinstance(failure, Number.NotInRange):
            if self.minimum is None and self.maximum is not None:
                return f"Must be less than or equal to {self.maximum}."
            elif self.minimum is not None and self.maximum is None:
                return f"Must be greater than or equal to {self.minimum}."
            else:
                return f"Must be between {self.minimum} and {self.maximum}."
        else:
            return None


class Integer(Number):
    """Validator which ensures the value is an integer which falls within a range."""

    class NotAnInteger(Failure):
        """Indicates a failure due to the value not being a valid integer."""

    def validate(self, value: str) -> ValidationResult:
        """Ensure that `value` is an integer, optionally within a range.

        Args:
            value: The value to validate.

        Returns:
            The result of the validation.
        """
        # First, check that we're dealing with a number in the range.
        number_validation_result = super().validate(value)
        if not number_validation_result.is_valid:
            return number_validation_result

        # We know it's a number, but is that number an integer?
        try:
            int_value = int(value)
        except ValueError:
            return ValidationResult.failure([Integer.NotAnInteger(self, value)])
        return self.success()

    def describe_failure(self, failure: Failure) -> str | None:
        """Describes why the validator failed.

        Args:
            failure: Information about why the validation failed.

        Returns:
            A string description of the failure.
        """
        if isinstance(failure, (Integer.NotANumber, Integer.NotAnInteger)):
            return "Must be a valid integer."
        elif isinstance(failure, Integer.NotInRange):
            if self.minimum is None and self.maximum is not None:
                return f"Must be less than or equal to {self.maximum}."
            elif self.minimum is not None and self.maximum is None:
                return f"Must be greater than or equal to {self.minimum}."
            else:
                return f"Must be between {self.minimum} and {self.maximum}."
        else:
            return None


class Length(Validator):
    """Validate that a string is within a range (inclusive)."""

    def __init__(
        self,
        minimum: int | None = None,
        maximum: int | None = None,
        failure_description: str | None = None,
    ) -> None:
        super().__init__(failure_description=failure_description)
        self.minimum = minimum
        """The inclusive minimum length of the value, or None if unbounded."""
        self.maximum = maximum
        """The inclusive maximum length of the value, or None if unbounded."""

    class Incorrect(Failure):
        """Indicates a failure due to the length of the value being outside the range."""

    def validate(self, value: str) -> ValidationResult:
        """Ensure that value falls within the maximum and minimum length constraints.

        Args:
            value: The value to validate.

        Returns:
            The result of the validation.
        """
        too_short = self.minimum is not None and len(value) < self.minimum
        too_long = self.maximum is not None and len(value) > self.maximum
        if too_short or too_long:
            return ValidationResult.failure([Length.Incorrect(self, value)])
        return self.success()

    def describe_failure(self, failure: Failure) -> str | None:
        """Describes why the validator failed.

        Args:
            failure: Information about why the validation failed.

        Returns:
            A string description of the failure.
        """
        if isinstance(failure, Length.Incorrect):
            if self.minimum is None and self.maximum is not None:
                return f"Must be shorter than {self.maximum} characters."
            elif self.minimum is not None and self.maximum is None:
                return f"Must be longer than {self.minimum} characters."
            else:
                return f"Must be between {self.minimum} and {self.maximum} characters."
        return None


class Function(Validator):
    """A flexible validator which allows you to provide custom validation logic."""

    def __init__(
        self,
        function: Callable[[str], bool],
        failure_description: str | None = None,
    ) -> None:
        super().__init__(failure_description=failure_description)
        self.function = function
        """Function which takes the value to validate and returns True if valid, and False otherwise."""

    class ReturnedFalse(Failure):
        """Indicates validation failed because the supplied function returned False."""

    def validate(self, value: str) -> ValidationResult:
        """Validate that the supplied function returns True.

        Args:
            value: The value to pass into the supplied function.

        Returns:
            A ValidationResult indicating success if the function returned True,
                and failure if the function return False.
        """
        is_valid = self.function(value)
        if is_valid:
            return self.success()
        return self.failure(failures=Function.ReturnedFalse(self, value))

    def describe_failure(self, failure: Failure) -> str | None:
        """Describes why the validator failed.

        Args:
            failure: Information about why the validation failed.

        Returns:
            A string description of the failure.
        """
        return self.failure_description


class URL(Validator):
    """Validator that checks if a URL is valid (ensuring a scheme is present)."""

    class InvalidURL(Failure):
        """Indicates that the URL is not valid."""

    def validate(self, value: str) -> ValidationResult:
        """Validates that `value` is a valid URL (contains a scheme).

        Args:
            value: The value to validate.

        Returns:
            The result of the validation.
        """
        invalid_url = ValidationResult.failure([URL.InvalidURL(self, value)])
        try:
            parsed_url = urlparse(value)
            if not all([parsed_url.scheme, parsed_url.netloc]):
                return invalid_url
        except ValueError:
            return invalid_url

        return self.success()

    def describe_failure(self, failure: Failure) -> str | None:
        """Describes why the validator failed.

        Args:
            failure: Information about why the validation failed.

        Returns:
            A string description of the failure.
        """
        return "Must be a valid URL."