"""
@package iscatt.iscatt_core

@brief Non GUI functions.

Classes:
 - iscatt_core::Core
 - iscatt_core::CatRastUpdater
 - iscatt_core::AnalyzedData
 - iscatt_core::ScattPlotsCondsData
 - iscatt_core::ScattPlotsData

(C) 2013 by the GRASS Development Team

This program is free software under the GNU General Public License
(>=v2). Read the file COPYING that comes with GRASS for details.

@author Stepan Turek <stepan.turek seznam.cz> (mentor: Martin Landa)
"""

import os

import numpy as np

# used iclass perimeters algorithm instead of convolve2d
# from matplotlib.path import Path
# from scipy.signal import convolve2d

from math import sqrt, ceil, floor

from core.gcmd import GException, RunCommand

import grass.script as gs

from iscatt.core_c import CreateCatRast, ComputeScatts, UpdateCatRast, Rasterize

MAX_SCATT_SIZE = 4100 * 4100
WARN_SCATT_SIZE = 2000 * 2000
MAX_NCELLS = 65536 * 65536
WARN_NCELLS = 12000 * 12000


class Core:
    """Represents scatter plot backend."""

    def __init__(self):
        self.an_data = AnalyzedData()

        self.scatts_dt = ScattPlotsData(self.an_data)
        self.scatt_conds_dt = ScattPlotsCondsData(self.an_data)

        self.cat_rast_updater = CatRastUpdater(self.scatts_dt, self.an_data, self)

    def SetData(self, bands):
        """Set bands for analysis."""
        ret = self.an_data.Create(bands)
        if not ret:
            return False

        n_bands = len(self.GetBands())

        self.scatts_dt.Create(n_bands)
        self.scatt_conds_dt.Create(n_bands)

        return True

    def AddCategory(self, cat_id):
        self.scatts_dt.AddCategory(cat_id)
        return self.scatt_conds_dt.AddCategory(cat_id)

    def DeleteCategory(self, cat_id):
        self.scatts_dt.DeleteCategory(cat_id)
        self.scatt_conds_dt.DeleteCategory(cat_id)

    def CleanUp(self):
        self.scatts_dt.CleanUp()
        self.scatt_conds_dt.CleanUp()

    def GetBands(self):
        return self.an_data.GetBands()

    def GetScattsData(self):
        return self.scatts_dt, self.scatt_conds_dt

    def GetRegion(self):
        return self.an_data.GetRegion()

    def GetCatRast(self, cat_id):
        return self.scatts_dt.GetCatRast(cat_id)

    def AddScattPlots(self, scatt_ids):
        for s_id in scatt_ids:
            self.scatts_dt.AddScattPlot(scatt_id=s_id)

        cats_ids = self.scatts_dt.GetCategories()
        self.ComputeCatsScatts(cats_ids)

    def SetEditCatData(self, cat_id, scatt_id, bbox, value):
        if cat_id not in self.scatts_dt.GetCategories():
            raise GException(_("Select category for editing."))

        if self.scatt_conds_dt.AddScattPlot(cat_id, scatt_id) < 0:
            return None

        arr = self.scatt_conds_dt.GetValuesArr(cat_id, scatt_id)

        for k, v in bbox.items():
            bbox[k] = self._validExtend(v)

        arr[bbox["btm_y"] : bbox["up_y"], bbox["btm_x"] : bbox["up_x"]] = value

        self.ComputeCatsScatts([cat_id])
        return cat_id

    def ComputeCatsScatts(self, cats_ids):
        requested_dt = {}
        requested_dt_conds = {}

        for c in cats_ids:
            requested_dt_conds[c] = self.scatt_conds_dt.GetCatScatts(c)
            requested_dt[c] = self.scatts_dt.GetCatScatts(c)

        scatt_conds = self.scatt_conds_dt.GetData(requested_dt_conds)
        scatts = self.scatts_dt.GetData(requested_dt)

        bands = self.an_data.GetBands()

        cats_rasts = self.scatts_dt.GetCatsRasts()
        cats_rasts_conds = self.scatts_dt.GetCatsRastsConds()

        returncode, scatts = ComputeScatts(
            self.an_data.GetRegion(),
            scatt_conds,
            bands,
            len(self.GetBands()),
            scatts,
            cats_rasts_conds,
            cats_rasts,
        )

        if returncode < 0:
            GException(_("Computing of scatter plots failed."))

    def CatRastUpdater(self):
        return self.cat_rast_updater

    def UpdateCategoryWithPolygons(self, cat_id, scatts_pols, value):
        if cat_id not in self.scatts_dt.GetCategories():
            raise GException(_("Select category for editing."))

        for scatt_id, coords in scatts_pols.items():
            if self.scatt_conds_dt.AddScattPlot(cat_id, scatt_id) < 0:
                return False

            b1, b2 = idScattToidBands(scatt_id, len(self.an_data.GetBands()))
            b = self.scatts_dt.GetBandsInfo(scatt_id)

            region = {
                "s": b["b2"]["min"] - 0.5,
                "n": b["b2"]["max"] + 0.5,
                "w": b["b1"]["min"] - 0.5,
                "e": b["b1"]["max"] + 0.5,
            }

            arr = self.scatt_conds_dt.GetValuesArr(cat_id, scatt_id)
            arr = Rasterize(polygon=coords, rast=arr, region=region, value=value)

            # previous way of rasterization / used scipy
            # raster_pol = RasterizePolygon(coords, b['b1']['range'], b['b1']['min'],
            # b['b2']['range'], b['b2']['min'])

            # raster_ind = np.where(raster_pol > 0)
            # arr = self.scatt_conds_dt.GetValuesArr(cat_id, scatt_id)

            # arr[raster_ind] = value
            # arr.flush()

        self.ComputeCatsScatts([cat_id])
        return cat_id

    def ExportCatRast(self, cat_id, rast_name):
        cat_rast = self.scatts_dt.GetCatRast(cat_id)
        if not cat_rast:
            return 1

        return RunCommand(
            "g.copy",
            raster=cat_rast + "," + rast_name,
            getErrorMsg=True,
            overwrite=True,
        )

    def _validExtend(self, val):
        # TODO do it general
        if val > 255:
            val = 255
        elif val < 0:
            val = 0

        return val


class CatRastUpdater:
    """Update backend data structures according to selected areas in mapwindow."""

    def __init__(self, scatts_dt, an_data, core):
        self.scatts_dt = scatts_dt
        self.an_data = an_data  # TODO may be confusing
        self.core = core
        self.vectMap = None

    def SetVectMap(self, vectMap):
        self.vectMap = vectMap

    def SyncWithMap(self):
        # TODO possible optimization - bbox only of vertex and its two
        # neighbors

        region = self.an_data.GetRegion()

        bbox = {
            "maxx": region["e"],
            "minx": region["w"],
            "maxy": region["n"],
            "miny": region["s"],
        }

        updated_cats = []

        for cat_id in self.scatts_dt.GetCategories():
            if cat_id == 0:
                continue

            cat = [{1: [cat_id]}]
            self._updateCatRast(bbox, cat, updated_cats)

        return updated_cats

    def EditedFeature(self, new_bboxs, new_areas_cats, old_bboxs, old_areas_cats):
        # TODO possible optimization - bbox only of vertex and its two
        # neighbors

        bboxs = old_bboxs + new_bboxs
        areas_cats = old_areas_cats + new_areas_cats

        updated_cats = []

        for i in range(len(areas_cats)):
            self._updateCatRast(bboxs[i], areas_cats[i], updated_cats)

        return updated_cats

    def _updateCatRast(self, bbox, areas_cats, updated_cats):
        rasterized_cats = []
        for c in range(len(areas_cats)):
            if not areas_cats[c]:
                continue

            layer = list(areas_cats[c])[0]
            cat = areas_cats[c][layer][0]

            if cat in rasterized_cats:
                continue

            rasterized_cats.append(cat)
            updated_cats.append(cat)

            grass_region = self._create_grass_region_env(bbox)

            # TODO hack check if raster exists?
            patch_rast = "temp_scatt_patch_%d" % (os.getpid())
            self._rasterize(grass_region, layer, cat, patch_rast)

            region = self.an_data.GetRegion()
            ret = UpdateCatRast(patch_rast, region, self.scatts_dt.GetCatRastCond(cat))
            if ret < 0:
                GException(_("Patching category raster conditions file failed."))
            RunCommand("g.remove", flags="f", type="raster", name=patch_rast)

    def _rasterize(self, grass_region, layer, cat, out_rast):
        # TODO different thread may be problem when user edits map
        environs = os.environ.copy()
        environs["GRASS_VECTOR_TEMPORARY"] = "1"

        ret, text, msg = RunCommand(
            "v.category",
            input=self.vectMap,
            getErrorMsg=True,
            option="report",
            read=True,
            env=environs,
        )

        ret, text, msg = RunCommand(
            "v.build", map=self.vectMap, getErrorMsg=True, read=True, env=environs
        )

        if ret != 0:
            GException(_("v.build failed:\n%s") % msg)

        environs = os.environ.copy()
        environs["GRASS_REGION"] = grass_region["GRASS_REGION"]
        environs["GRASS_VECTOR_TEMPORARY"] = "1"

        ret, text, msg = RunCommand(
            "v.to.rast",
            input=self.vectMap,
            use="cat",
            layer=str(layer),
            cat=str(cat),
            output=out_rast,
            getErrorMsg=True,
            read=True,
            overwrite=True,
            env=environs,
        )

        if ret != 0:
            GException(_("v.to.rast failed:\n{messages}").format(messages=msg))

    def _create_grass_region_env(self, bbox):
        r = self.an_data.GetRegion()
        new_r = {}

        if bbox["maxy"] <= r["s"]:
            return 0
        if bbox["maxy"] >= r["n"]:
            new_r["n"] = bbox["maxy"]
        else:
            new_r["n"] = (
                ceil((bbox["maxy"] - r["s"]) / r["nsres"]) * r["nsres"] + r["s"]
            )

        if bbox["miny"] >= r["n"]:
            return 0
        if bbox["miny"] <= r["s"]:
            new_r["s"] = bbox["miny"]
        else:
            new_r["s"] = (
                floor((bbox["miny"] - r["s"]) / r["nsres"]) * r["nsres"] + r["s"]
            )

        if bbox["maxx"] <= r["w"]:
            return 0
        if bbox["maxx"] >= r["e"]:
            new_r["e"] = bbox["maxx"]
        else:
            new_r["e"] = (
                ceil((bbox["maxx"] - r["w"]) / r["ewres"]) * r["ewres"] + r["w"]
            )

        if bbox["minx"] >= r["e"]:
            return 0
        if bbox["minx"] <= r["w"]:
            new_r["w"] = bbox["minx"]
        else:
            new_r["w"] = (
                floor((bbox["minx"] - r["w"]) / r["ewres"]) * r["ewres"] + r["w"]
            )

        # TODO check regions resolution
        new_r["nsres"] = r["nsres"]
        new_r["ewres"] = r["ewres"]

        return {"GRASS_REGION": gs.region_env(**new_r)}


class AnalyzedData:
    """Represents analyzed data (bands, region)."""

    def __init__(self):
        self.bands = []
        self.bands_info = {}

        self.region = None

    def GetRegion(self):
        return self.region

    def Create(self, bands):
        self.bands = bands[:]
        self.region = None

        self.region = GetRegion()
        if self.region["rows"] * self.region["cols"] > MAX_NCELLS:
            GException("too big region")

        self.bands_info = {}

        for b in self.bands[:]:
            i = GetRasterInfo(b)

            if i is None:
                GException("raster %s is not CELL type" % (b))

            self.bands_info[b] = i
            # TODO check size of raster

        return True

    def GetBands(self):
        return self.bands

    def GetBandInfo(self, band_id):
        band = self.bands[band_id]
        return self.bands_info[band]


class ScattPlotsCondsData:
    """Data structure for selected areas in scatter plot(conditions)."""

    def __init__(self, an_data):
        self.an_data = an_data

        # TODO
        self.max_n_cats = 10

        self.dtype = "uint8"
        self.type = 1
        self.CleanUp()

    def CleanUp(self):
        self.cats = {}

        self.n_scatts = -1
        self.n_bands = -1

        for cat_id in self.cats.keys():
            self.DeleteCategory(cat_id)

    def Create(self, n_bands):
        self.CleanUp()

        self.n_scatts = (n_bands - 1) * n_bands / 2
        self.n_bands = n_bands

        self.AddCategory(cat_id=0)

    def AddCategory(self, cat_id):
        if cat_id not in self.cats.keys():
            self.cats[cat_id] = {}
            return cat_id
        return -1

    def DeleteCategory(self, cat_id):
        if cat_id not in self.cats.keys():
            return False

        for scatt in self.cats[cat_id].values():
            gs.try_remove(scatt["np_vals"])
            del scatt["np_vals"]

        del self.cats[cat_id]

        return True

    def GetCategories(self):
        return self.cats.keys()

    def GetCatScatts(self, cat_id):
        if cat_id not in self.cats:
            return False

        return self.cats[cat_id].keys()

    def AddScattPlot(self, cat_id, scatt_id):
        if cat_id not in self.cats:
            return -1

        if scatt_id in self.cats[cat_id]:
            return 0

        b_i = self.GetBandsInfo(scatt_id)

        shape = (
            b_i["b2"]["max"] - b_i["b2"]["min"] + 1,
            b_i["b1"]["max"] - b_i["b1"]["min"] + 1,
        )

        np_vals = np.memmap(gs.tempfile(), dtype=self.dtype, mode="w+", shape=shape)

        self.cats[cat_id][scatt_id] = {"np_vals": np_vals}

        return 1

    def GetBandsInfo(self, scatt_id):
        b1, b2 = idScattToidBands(scatt_id, len(self.an_data.GetBands()))

        b1_info = self.an_data.GetBandInfo(b1)
        b2_info = self.an_data.GetBandInfo(b2)

        return {"b1": b1_info, "b2": b2_info}

    def DeleScattPlot(self, cat_id, scatt_id):
        if cat_id not in self.cats:
            return False

        if scatt_id not in self.cats[cat_id]:
            return False

        del self.cats[cat_id][scatt_id]
        return True

    def GetValuesArr(self, cat_id, scatt_id):
        if cat_id not in self.cats:
            return None

        if scatt_id not in self.cats[cat_id]:
            return None

        return self.cats[cat_id][scatt_id]["np_vals"]

    def GetData(self, requested_dt):
        cats = {}
        for cat_id, scatt_ids in requested_dt.items():
            if cat_id not in cats:
                cats[cat_id] = {}
            for scatt_id in scatt_ids:
                # if key is missing condition is always True (full scatter plor
                # is computed)
                if scatt_id in self.cats[cat_id]:
                    cats[cat_id][scatt_id] = {
                        "np_vals": self.cats[cat_id][scatt_id]["np_vals"],
                        "bands_info": self.GetBandsInfo(scatt_id),
                    }

        return cats

    def SetData(self, cats):
        for cat_id, scatt_ids in cats.items():
            for scatt_id in scatt_ids:
                # if key is missing condition is always True (full scatter plor
                # is computed)
                if scatt_id in self.cats[cat_id]:
                    self.cats[cat_id][scatt_id]["np_vals"] = scatt_ids[scatt_id][
                        "np_vals"
                    ]

    def GetScatt(self, scatt_id, cats_ids=None):
        scatts = {}
        for cat_id in self.cats.keys():
            if cats_ids and cat_id not in cats_ids:
                continue
            if scatt_id not in self.cats[cat_id]:
                continue

            scatts[cat_id] = {
                "np_vals": self.cats[cat_id][scatt_id]["np_vals"],
                "bands_info": self.GetBandsInfo(scatt_id),
            }
        return scatts


class ScattPlotsData(ScattPlotsCondsData):
    """Data structure for computed points (classes) in scatter plots."""

    def __init__(self, an_data):
        self.cats_rasts = {}
        self.cats_rasts_conds = {}
        self.scatts_ids = []

        ScattPlotsCondsData.__init__(self, an_data)

        self.dtype = "uint32"

        # TODO
        self.type = 0

    def AddCategory(self, cat_id):
        cat_id = ScattPlotsCondsData.AddCategory(self, cat_id)
        if cat_id < 0:
            return cat_id

        for scatt_id in self.scatts_ids:
            ScattPlotsCondsData.AddScattPlot(self, cat_id, scatt_id)

        if cat_id == 0:
            self.cats_rasts_conds[cat_id] = None
            self.cats_rasts[cat_id] = None
        else:
            self.cats_rasts_conds[cat_id] = gs.tempfile()
            self.cats_rasts[cat_id] = "temp_cat_rast_%d_%d" % (cat_id, os.getpid())
            region = self.an_data.GetRegion()
            CreateCatRast(region, self.cats_rasts_conds[cat_id])

        return cat_id

    def DeleteCategory(self, cat_id):
        ScattPlotsCondsData.DeleteCategory(self, cat_id)

        gs.try_remove(self.cats_rasts_conds[cat_id])
        del self.cats_rasts_conds[cat_id]

        RunCommand("g.remove", flags="f", type="raster", name=self.cats_rasts[cat_id])
        del self.cats_rasts[cat_id]

        return True

    def AddScattPlot(self, scatt_id):
        if scatt_id in self.scatts_ids:
            return False

        self.scatts_ids.append(scatt_id)
        for cat_id in self.cats.keys():
            ScattPlotsCondsData.AddScattPlot(self, cat_id, scatt_id)
            self.cats[cat_id][scatt_id]["ellipse"] = None

        return True

    def DeleteScatterPlot(self, scatt_id):
        if scatt_id not in self.scatts_ids:
            return False

        self.scatts_ids.remove(scatt_id)

        for cat_id in self.cats.keys():
            ScattPlotsCondsData.DeleteScattPlot(self, cat_id, scatt_id)

        return True

    def GetEllipses(self, scatt_id, styles):
        if scatt_id not in self.scatts_ids:
            return False

        scatts = {}
        for cat_id in self.cats.keys():
            if cat_id == 0:
                continue
            nstd = styles[cat_id]["nstd"]
            scatts[cat_id] = self._getEllipse(cat_id, scatt_id, nstd)

        return scatts

    def _getEllipse(self, cat_id, scatt_id, nstd):
        # Joe Kington
        # https://stackoverflow.com/questions/12301071/multidimensional-confidence-intervals

        data = np.copy(self.cats[cat_id][scatt_id]["np_vals"])

        b = self.GetBandsInfo(scatt_id)
        sel_pts = np.where(data > 0)

        x = sel_pts[1]
        y = sel_pts[0]

        flatten_data = data.reshape([-1])
        flatten_sel_pts = np.nonzero(flatten_data)
        weights = flatten_data[flatten_sel_pts]
        if len(weights) == 0:
            return None

        x_avg = np.average(x, weights=weights)
        y_avg = np.average(y, weights=weights)
        pos = np.array([x_avg + b["b1"]["min"], y_avg + b["b2"]["min"]])

        x_diff = x - x_avg
        y_diff = y - y_avg

        x_diff = x - x_avg
        y_diff = y - y_avg

        diffs = x_diff * y_diff.T
        cov = np.dot(diffs, weights) / (np.sum(weights) - 1)

        diffs = x_diff * x_diff.T
        var_x = np.dot(diffs, weights) / (np.sum(weights) - 1)

        diffs = y_diff * y_diff.T
        var_y = np.dot(diffs, weights) / (np.sum(weights) - 1)

        cov = np.array([[var_x, cov], [cov, var_y]])

        def eigsorted(cov):
            vals, vecs = np.linalg.eigh(cov)
            order = vals.argsort()[::-1]
            return vals[order], vecs[:, order]

        vals, vecs = eigsorted(cov)
        theta = np.degrees(np.arctan2(*vecs[:, 0][::-1]))

        # Width and height are "full" widths, not radius
        width, height = 2 * nstd * np.sqrt(vals)

        ellipse = {"pos": pos, "width": width, "height": height, "theta": theta}

        del data
        del flatten_data
        del flatten_sel_pts
        del weights
        del sel_pts
        return ellipse

    def CleanUp(self):
        ScattPlotsCondsData.CleanUp(self)
        for tmp in self.cats_rasts_conds.values():
            gs.try_remove(tmp)
        for tmp in self.cats_rasts.values():
            RunCommand("g.remove", flags="f", type="raster", name=tmp, getErrorMsg=True)

        self.cats_rasts = {}
        self.cats_rasts_conds = {}

    def GetCatRast(self, cat_id):
        if cat_id in self.cats_rasts:
            return self.cats_rasts[cat_id]
        return None

    def GetCatRastCond(self, cat_id):
        return self.cats_rasts_conds[cat_id]

    def GetCatsRastsConds(self):
        max_cat_id = max(self.cats_rasts_conds.keys())

        cats_rasts_conds = [""] * (max_cat_id + 1)
        for i_cat_id, i_rast in self.cats_rasts_conds.items():
            cats_rasts_conds[i_cat_id] = i_rast

        return cats_rasts_conds

    def GetCatsRasts(self):
        max_cat_id = max(self.cats_rasts.keys())

        cats_rasts = [""] * (max_cat_id + 1)
        for i_cat_id, i_rast in self.cats_rasts.items():
            cats_rasts[i_cat_id] = i_rast

        return cats_rasts


# not used, using iclass_perimeter algorithm instead of scipy convolve2d

# def RasterizePolygon(pol, height, min_h, width, min_w):
#
#     # Joe Kington
#     # https://stackoverflow.com/questions/3654289/scipy-create-2d-polygon-mask
#
#     # poly_verts = [(1,1), (1,4), (4,4),(4,1), (1,1)]
#
#     nx = width
#     ny = height
#
#     x, y = np.meshgrid(
#         np.arange(-0.5 + min_w, nx + 0.5 + min_w, dtype=float),
#         np.arange(-0.5 + min_h, ny + 0.5 + min_h, dtype=float),
#     )
#     x, y = x.flatten(), y.flatten()
#
#     points = np.vstack((x, y)).T
#
#     p = Path(pol)
#     grid = p.contains_points(points)
#     grid = grid.reshape((ny + 1, nx + 1))
#     raster = np.zeros((height, width), dtype=np.uint8)  # TODO bool
#
#     # TODO shift by 0.5
#     B = np.ones((2, 2)) / 4
#     raster = convolve2d(grid, B, "valid")
#
#     return raster


def idScattToidBands(scatt_id, n_bands):
    """Get bands ids from scatter plot id."""
    n_b1 = n_bands - 1

    band_1 = (int)(
        (2 * n_b1 + 1 - sqrt((2 * n_b1 + 1) * (2 * n_b1 + 1) - 8 * scatt_id)) / 2
    )

    band_2 = int(
        scatt_id - (band_1 * (2 * n_b1 + 1) - band_1 * band_1) / 2 + band_1 + 1
    )

    return band_1, band_2


def idBandsToidScatt(band_1_id, band_2_id, n_bands):
    """Get scatter plot id from band ids."""
    if band_2_id < band_1_id:
        tmp = band_1_id
        band_1_id = band_2_id
        band_2_id = tmp

    n_b1 = n_bands - 1

    return int(
        (band_1_id * (2 * n_b1 + 1) - band_1_id * band_1_id) / 2
        + band_2_id
        - band_1_id
        - 1
    )


def GetRegion():
    ret, region, msg = RunCommand("g.region", flags="gp", getErrorMsg=True, read=True)

    if ret != 0:
        raise GException("g.region failed:\n%s" % msg)

    return _parseRegion(region)


def _parseRegion(region_str):
    region = {}
    region_str = region_str.splitlines()

    for param in region_str:
        k, v = param.split("=")
        region[k] = int(v) if k in {"rows", "cols", "cells"} else float(v)

    return region


def GetRasterInfo(rast):
    ret, out, msg = RunCommand(
        "r.info", map=rast, flags="rg", getErrorMsg=True, read=True
    )

    if ret != 0:
        raise GException("r.info failed:\n%s" % msg)

    out = out.splitlines()
    raster_info = {}

    for b in out:
        if not b.strip():
            continue
        k, v = b.split("=")
        if k == "datatype":
            if v != "CELL":
                return None
        elif k in {"rows", "cols", "cells", "min", "max"}:
            v = int(v)
        else:
            v = float(v)

        raster_info[k] = v

    raster_info["range"] = raster_info["max"] - raster_info["min"] + 1
    return raster_info
