/*
 * Copyright 2007 ZXing authors
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

use std::collections::HashMap;

use crate::{
    common::{BitMatrix, DefaultGridSampler, GridSampler, PerspectiveTransform, Result},
    point,
    qrcode::decoder::Version,
    DecodeHintType, DecodeHintValue, DecodingHintDictionary, Exceptions, Point, PointCallback,
};

use super::{
    AlignmentPattern, AlignmentPatternFinder, FinderPatternFinder, FinderPatternInfo,
    QRCodeDetectorResult,
};

/**
 * <p>Encapsulates logic that can detect a QR Code in an image, even if the QR Code
 * is rotated or skewed, or partially obscured.</p>
 *
 * @author Sean Owen
 */
pub struct Detector<'a> {
    image: &'a BitMatrix,
    resultPointCallback: Option<PointCallback>,
}

impl<'a> Detector<'_> {
    pub fn new(image: &'a BitMatrix) -> Detector<'a> {
        Detector {
            image,
            resultPointCallback: None,
        }
    }

    pub fn getImage(&self) -> &BitMatrix {
        self.image
    }

    pub fn getPointCallback(&self) -> &Option<PointCallback> {
        &self.resultPointCallback
    }

    /**
     * <p>Detects a QR Code in an image.</p>
     *
     * @return {@link DetectorRXingResult} encapsulating results of detecting a QR Code
     * @throws NotFoundException if QR Code cannot be found
     * @throws FormatException if a QR Code cannot be decoded
     */
    pub fn detect(&mut self) -> Result<QRCodeDetectorResult> {
        self.detect_with_hints(&HashMap::new())
    }

    /**
     * <p>Detects a QR Code in an image.</p>
     *
     * @param hints optional hints to detector
     * @return {@link DetectorRXingResult} encapsulating results of detecting a QR Code
     * @throws NotFoundException if QR Code cannot be found
     * @throws FormatException if a QR Code cannot be decoded
     */
    pub fn detect_with_hints(
        &mut self,
        hints: &DecodingHintDictionary,
    ) -> Result<QRCodeDetectorResult> {
        self.resultPointCallback = if let Some(DecodeHintValue::NeedResultPointCallback(cb)) =
            hints.get(&DecodeHintType::NEED_RESULT_POINT_CALLBACK)
        {
            Some(cb.clone())
        } else {
            None
        };

        let mut finder =
            FinderPatternFinder::with_callback(self.image, self.resultPointCallback.clone());
        let info = finder.find(hints)?;

        self.processFinderPatternInfo(info)
    }

    pub fn processFinderPatternInfo(
        &self,
        info: FinderPatternInfo,
    ) -> Result<QRCodeDetectorResult> {
        let topLeft = info.getTopLeft();
        let topRight = info.getTopRight();
        let bottomLeft = info.getBottomLeft();

        let moduleSize = self.calculateModuleSize(topLeft, topRight, bottomLeft);
        if moduleSize < 1.0 {
            return Err(Exceptions::NOT_FOUND);
        }
        let dimension = Self::computeDimension(topLeft, topRight, bottomLeft, moduleSize)?;
        let provisionalVersion = Version::getProvisionalVersionForDimension(dimension)?;
        let modulesBetweenFPCenters = provisionalVersion.getDimensionForVersion() - 7;

        let mut alignmentPattern = None;
        // Anything above version 1 has an alignment pattern
        if !provisionalVersion.getAlignmentPatternCenters().is_empty() {
            // Guess where a "bottom right" finder pattern would have been
            let bottomRightX = topRight.point.x - topLeft.point.x + bottomLeft.point.x;
            let bottomRightY = topRight.point.y - topLeft.point.y + bottomLeft.point.y;

            // Estimate that alignment pattern is closer by 3 modules
            // from "bottom right" to known top left location
            let correctionToTopLeft = 1.0 - (3.0 / modulesBetweenFPCenters as f32);
            let estAlignmentX =
                (topLeft.point.x + correctionToTopLeft * (bottomRightX - topLeft.point.x)) as u32;
            let estAlignmentY =
                (topLeft.point.y + correctionToTopLeft * (bottomRightY - topLeft.point.y)) as u32;

            // Kind of arbitrary -- expand search radius before giving up
            let mut i = 4;
            while i <= 16 {
                if let Ok(ap) =
                    self.findAlignmentInRegion(moduleSize, estAlignmentX, estAlignmentY, i as f32)
                {
                    alignmentPattern = Some(ap);
                    break;
                }
                i <<= 1;
            }
            // If we didn't find alignment pattern... well try anyway without it
        }

        let transform = Self::createTransform(
            topLeft,
            topRight,
            bottomLeft,
            alignmentPattern.as_ref(),
            dimension,
        )
        .ok_or(Exceptions::NOT_FOUND)?;

        let bits = Detector::sampleGrid(self.image, &transform, dimension)?;

        let mut points = vec![
            Point::from(bottomLeft),
            Point::from(topLeft),
            Point::from(topRight),
        ];

        if alignmentPattern.is_some() {
            points.push(alignmentPattern.ok_or(Exceptions::NOT_FOUND)?.into())
        }

        Ok(QRCodeDetectorResult::new(bits, points))
    }

    fn createTransform<T: Into<Point>, X: Into<Point>>(
        topLeft: T,
        topRight: T,
        bottomLeft: T,
        alignmentPattern: Option<X>,
        dimension: u32,
    ) -> Option<PerspectiveTransform> {
        let topLeft: Point = topLeft.into();
        let topRight: Point = topRight.into();
        let bottomLeft: Point = bottomLeft.into();
        let alignmentPattern: Option<Point> = alignmentPattern.map(Into::into);

        let dimMinusThree = dimension as f32 - 3.5;
        let bottomRightX: f32;
        let bottomRightY: f32;
        let sourceBottomRightX: f32;
        let sourceBottomRightY: f32;
        if alignmentPattern.is_some() {
            let alignmentPattern = alignmentPattern?;
            bottomRightX = alignmentPattern.x;
            bottomRightY = alignmentPattern.y;
            sourceBottomRightX = dimMinusThree - 3.0;
            sourceBottomRightY = sourceBottomRightX;
        } else {
            // Don't have an alignment pattern, just make up the bottom-right point
            bottomRightX = (topRight.x - topLeft.x) + bottomLeft.x;
            bottomRightY = (topRight.y - topLeft.y) + bottomLeft.y;
            sourceBottomRightX = dimMinusThree;
            sourceBottomRightY = dimMinusThree;
        }

        Some(PerspectiveTransform::quadrilateralToQuadrilateral(
            3.5,
            3.5,
            dimMinusThree,
            3.5,
            sourceBottomRightX,
            sourceBottomRightY,
            3.5,
            dimMinusThree,
            topLeft.x,
            topLeft.y,
            topRight.x,
            topRight.y,
            bottomRightX,
            bottomRightY,
            bottomLeft.x,
            bottomLeft.y,
        ))
    }

    fn sampleGrid(
        image: &BitMatrix,
        transform: &PerspectiveTransform,
        dimension: u32,
    ) -> Result<BitMatrix> {
        let sampler = DefaultGridSampler::default();
        sampler.sample_grid(image, dimension, dimension, transform)
    }

    /**
     * <p>Computes the dimension (number of modules on a size) of the QR Code based on the position
     * of the finder patterns and estimated module size.</p>
     */
    fn computeDimension<T: Into<Point> + Copy>(
        topLeft: T,
        topRight: T,
        bottomLeft: T,
        moduleSize: f32,
    ) -> Result<u32> {
        let tltrCentersDimension =
            (Point::distance(topLeft.into(), topRight.into()) / moduleSize).round() as i32;
        let tlblCentersDimension =
            (Point::distance(topLeft.into(), bottomLeft.into()) / moduleSize).round() as i32;
        let mut dimension = ((tltrCentersDimension + tlblCentersDimension) / 2) + 7;
        match dimension & 0x03 {
            0 => dimension += 1,
            2 => dimension -= 1,
            3 => return Err(Exceptions::NOT_FOUND),
            _ => {}
        }
        Ok(dimension as u32)
    }

    /**
     * <p>Computes an average estimated module size based on estimated derived from the positions
     * of the three finder patterns.</p>
     *
     * @param topLeft detected top-left finder pattern center
     * @param topRight detected top-right finder pattern center
     * @param bottomLeft detected bottom-left finder pattern center
     * @return estimated module size
     */
    pub fn calculateModuleSize<T: Into<Point> + Copy>(
        &self,
        topLeft: T,
        topRight: T,
        bottomLeft: T,
    ) -> f32 {
        // Take the average
        (self.calculateModuleSizeOneWay(topLeft, topRight)
            + self.calculateModuleSizeOneWay(topLeft, bottomLeft))
            / 2.0
    }

    /**
     * <p>Estimates module size based on two finder patterns -- it uses
     * {@link #sizeOfBlackWhiteBlackRunBothWays(int, int, int, int)} to figure the
     * width of each, measuring along the axis between their centers.</p>
     */
    fn calculateModuleSizeOneWay<T: Into<Point>>(&self, pattern: T, otherPattern: T) -> f32 {
        let pattern: Point = pattern.into();
        let otherPattern: Point = otherPattern.into();

        let moduleSizeEst1 = self.sizeOfBlackWhiteBlackRunBothWays(
            pattern.x.floor() as u32,
            pattern.y.floor() as u32,
            otherPattern.x.floor() as u32,
            otherPattern.y.floor() as u32,
        );
        let moduleSizeEst2 = self.sizeOfBlackWhiteBlackRunBothWays(
            otherPattern.x.floor() as u32,
            otherPattern.y.floor() as u32,
            pattern.x.floor() as u32,
            pattern.y.floor() as u32,
        );
        if moduleSizeEst1.is_nan() {
            return moduleSizeEst2 / 7.0;
        }
        if moduleSizeEst2.is_nan() {
            return moduleSizeEst1 / 7.0;
        }
        // Average them, and divide by 7 since we've counted the width of 3 black modules,
        // and 1 white and 1 black module on either side. Ergo, divide sum by 14.
        (moduleSizeEst1 + moduleSizeEst2) / 14.0
    }

    /**
     * See {@link #sizeOfBlackWhiteBlackRun(int, int, int, int)}; computes the total width of
     * a finder pattern by looking for a black-white-black run from the center in the direction
     * of another point (another finder pattern center), and in the opposite direction too.
     */
    fn sizeOfBlackWhiteBlackRunBothWays(&self, fromX: u32, fromY: u32, toX: u32, toY: u32) -> f32 {
        let mut result = self.sizeOfBlackWhiteBlackRun(fromX, fromY, toX, toY);

        // Now count other way -- don't run off image though of course
        let mut scale = 1.0;
        let mut otherToX = fromX as i32 - (toX as i32 - fromX as i32);
        if otherToX < 0 {
            scale = fromX as f32 / (fromX as i32 - otherToX) as f32;
            otherToX = 0;
        } else if otherToX as u32 >= self.image.getWidth() {
            scale = (self.image.getWidth() as i32 - 1 - fromX as i32) as f32
                / (otherToX - fromX as i32) as f32;
            otherToX = self.image.getWidth() as i32 - 1;
        }
        let mut otherToY = (fromY as f32 - (toY as f32 - fromY as f32) * scale).floor() as i32;

        scale = 1.0;
        if otherToY < 0 {
            scale = fromY as f32 / (fromY as i32 - otherToY) as f32;
            otherToY = 0;
        } else if otherToY as u32 >= self.image.getHeight() {
            scale = (self.image.getHeight() as i32 - 1 - fromY as i32) as f32
                / (otherToY - fromY as i32) as f32;
            otherToY = self.image.getHeight() as i32 - 1;
        }
        otherToX = (fromX as f32 + (otherToX as f32 - fromX as f32) * scale).floor() as i32;

        result += self.sizeOfBlackWhiteBlackRun(fromX, fromY, otherToX as u32, otherToY as u32);

        // Middle pixel is double-counted this way; subtract 1
        result - 1.0
    }

    /**
     * <p>This method traces a line from a point in the image, in the direction towards another point.
     * It begins in a black region, and keeps going until it finds white, then black, then white again.
     * It reports the distance from the start to this point.</p>
     *
     * <p>This is used when figuring out how wide a finder pattern is, when the finder pattern
     * may be skewed or rotated.</p>
     */
    fn sizeOfBlackWhiteBlackRun(&self, fromX: u32, fromY: u32, toX: u32, toY: u32) -> f32 {
        let mut fromX = fromX;
        let mut fromY = fromY;
        let mut toX = toX;
        let mut toY = toY;
        // Mild variant of Bresenham's algorithm;
        // see http://en.wikipedia.org/wiki/Bresenham's_line_algorithm
        let steep = (toY as i64 - fromY as i64).abs() > (toX as i64 - fromX as i64).abs();
        if steep {
            std::mem::swap(&mut fromX, &mut fromY);
            std::mem::swap(&mut toX, &mut toY);
        }

        let dx: i32 = (toX as i64 - fromX as i64).abs() as i32;
        let dy: i32 = (toY as i64 - fromY as i64).abs() as i32;
        let mut error = -dx / 2;
        let xstep: i32 = if fromX < toX { 1 } else { -1 };
        let ystep: i32 = if fromY < toY { 1 } else { -1 };

        // In black pixels, looking for white, first or second time.
        let mut state = 0;
        // Loop up until x == toX, but not beyond
        let xLimit = toX as i32 + xstep;

        let mut x: i32 = fromX as i32;
        let mut y: i32 = fromY as i32;
        while x != xLimit {
            let realX = if steep { y } else { x };
            let realY = if steep { x } else { y };

            // Does current pixel mean we have moved white to black or vice versa?
            // Scanning black in state 0,2 and white in state 1, so if we find the wrong
            // color, advance to next state or end if we are in state 2 already
            if (state == 1) == self.image.get(realX as u32, realY as u32) {
                if state == 2 {
                    return Point::distance(
                        point(x as f32, y as f32),
                        point(fromX as f32, fromY as f32),
                    );
                }
                state += 1;
            }

            error += dy;
            if error > 0 {
                if y == toY as i32 {
                    break;
                }
                y += ystep;
                error -= dx;
            }

            x += xstep;
        }
        // Found black-white-black; give the benefit of the doubt that the next pixel outside the image
        // is "white" so this last point at (toX+xStep,toY) is the right ending. This is really a
        // small approximation; (toX+xStep,toY+yStep) might be really correct. Ignore this.
        if state == 2 {
            return Point::distance(
                point((toX as i32 + xstep) as f32, toY as f32),
                point(fromX as f32, fromY as f32),
            );
        }
        // else we didn't find even black-white-black; no estimate is really possible
        f32::NAN
    }

    /**
     * <p>Attempts to locate an alignment pattern in a limited region of the image, which is
     * guessed to contain it. This method uses {@link AlignmentPattern}.</p>
     *
     * @param overallEstModuleSize estimated module size so far
     * @param estAlignmentX x coordinate of center of area probably containing alignment pattern
     * @param estAlignmentY y coordinate of above
     * @param allowanceFactor number of pixels in all directions to search from the center
     * @return {@link AlignmentPattern} if found, or null otherwise
     * @throws NotFoundException if an unexpected error occurs during detection
     */
    pub fn findAlignmentInRegion(
        &self,
        overallEstModuleSize: f32,
        estAlignmentX: u32,
        estAlignmentY: u32,
        allowanceFactor: f32,
    ) -> Result<AlignmentPattern> {
        // Look for an alignment pattern (3 modules in size) around where it
        // should be
        let allowance = (allowanceFactor * overallEstModuleSize) as u32;
        let alignmentAreaLeftX = 0.max(estAlignmentX as i32 - allowance as i32) as u32;
        let alignmentAreaRightX = (self.image.getWidth() - 1).min(estAlignmentX + allowance);
        if ((alignmentAreaRightX - alignmentAreaLeftX) as f32) < overallEstModuleSize * 3.0 {
            return Err(Exceptions::NOT_FOUND);
        }

        let alignmentAreaTopY = 0.max(estAlignmentY as i32 - allowance as i32) as u32;
        let alignmentAreaBottomY = (self.image.getHeight() - 1).min(estAlignmentY + allowance);
        if alignmentAreaBottomY - alignmentAreaTopY < overallEstModuleSize as u32 * 3 {
            return Err(Exceptions::NOT_FOUND);
        }

        let mut alignmentFinder = AlignmentPatternFinder::new(
            self.image.clone(),
            alignmentAreaLeftX,
            alignmentAreaTopY,
            alignmentAreaRightX - alignmentAreaLeftX,
            alignmentAreaBottomY - alignmentAreaTopY,
            overallEstModuleSize,
            self.resultPointCallback.clone(),
        );
        alignmentFinder.find()
    }
}