
/****************************************************************************
 *
 * MODULE:       r.series
 * AUTHOR(S):    Glynn Clements <glynn gclements.plus.com> (original contributor)
 *               Hamish Bowman <hamish_b yahoo.com>,
 *               Jachym Cepicky <jachym les-ejk.cz>,
 *               Martin Wegmann <wegmann biozentrum.uni-wuerzburg.de>,
 *               Aaron Saw Min Sern (OpenMP parallelization)
 * PURPOSE:      
 * COPYRIGHT:    (C) 2002-2022 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.
 *
 *****************************************************************************/
#if defined(_OPENMP)
#include <omp.h>
#endif
#include <stdlib.h>
#include <string.h>
#include <unistd.h>

#include <grass/gis.h>
#include <grass/glocale.h>
#include <grass/raster.h>
#include <grass/stats.h>

struct menu
{
    stat_func *method;          /* routine to compute new value */
    stat_func_w *method_w;      /* routine to compute new value (weighted) */
    RASTER_MAP_TYPE outtype;    /* type of result */
    char *name;                 /* method name */
    char *text;                 /* menu display - full description */
} menu[] = {
    {c_ave, w_ave, DCELL_TYPE, "average", "average value"},
    {c_count, w_count, CELL_TYPE, "count", "count of non-NULL cells"},
    {c_median, w_median, DCELL_TYPE, "median", "median value"},
    {c_mode, w_mode, -1, "mode", "most frequently occurring value"},
    {c_min, NULL, -1, "minimum", "lowest value"},
    {c_minx, NULL, CELL_TYPE, "min_raster", "raster with lowest value"},
    {c_max, NULL, -1, "maximum", "highest value"},
    {c_maxx, NULL, CELL_TYPE, "max_raster", "raster with highest value"},
    {c_stddev, w_stddev, DCELL_TYPE, "stddev", "standard deviation"},
    {c_range, NULL, -1, "range", "range of values"},
    {c_sum, w_sum, DCELL_TYPE, "sum", "sum of values"},
    {c_var, w_var, DCELL_TYPE, "variance", "statistical variance"},
    {c_divr, NULL, CELL_TYPE, "diversity", "number of different values"},
    {c_reg_m, w_reg_m, DCELL_TYPE, "slope", "linear regression slope"},
    {c_reg_c, w_reg_c, DCELL_TYPE, "offset", "linear regression offset"},
    {c_reg_r2, w_reg_r2, DCELL_TYPE, "detcoeff",
     "linear regression coefficient of determination"},
    {c_reg_t, w_reg_t, DCELL_TYPE, "tvalue", "linear regression t-value"},
    {c_quart1, w_quart1, DCELL_TYPE, "quart1", "first quartile"},
    {c_quart3, w_quart3, DCELL_TYPE, "quart3", "third quartile"},
    {c_perc90, w_perc90, DCELL_TYPE, "perc90", "ninetieth percentile"},
    {c_quant, w_quant, DCELL_TYPE, "quantile", "arbitrary quantile"},
    {c_skew, w_skew, DCELL_TYPE, "skewness", "skewness"},
    {c_kurt, w_kurt, DCELL_TYPE, "kurtosis", "kurtosis"},
    {NULL, NULL, 0, NULL, NULL}
};

struct input
{
    const char *name;
    int fd;
    DCELL *buf;
    DCELL weight;
};

struct output
{
    const char *name;
    int fd;
    DCELL *buf;
    stat_func *method_fn;
    stat_func_w *method_fn_w;
    double quantile;
};

static char *build_method_list(void)
{
    char *buf = G_malloc(1024);
    char *p = buf;
    int i;

    for (i = 0; menu[i].name; i++) {
        char *q;

        if (i)
            *p++ = ',';
        for (q = menu[i].name; *q; p++, q++)
            *p = *q;
    }
    *p = '\0';

    return buf;
}

static int find_method(const char *method_name)
{
    int i;

    for (i = 0; menu[i].name; i++)
        if (strcmp(menu[i].name, method_name) == 0)
            return i;

    G_fatal_error(_("Unknown method <%s>"), method_name);

    return -1;
}

int main(int argc, char *argv[])
{
    struct GModule *module;
    struct
    {
        struct Option *input, *file, *output, *method, *weights, *quantile,
            *range, *nprocs, *memory;
    } parm;
    struct
    {
        struct Flag *nulls, *lazy;
    } flag;
    int i, t;
    int nprocs;
    bool threaded;
    int num_inputs;
    struct input **inputs = NULL;
    int bufrows;
#if defined(_OPENMP)
    omp_lock_t fd_lock;
#endif

    int num_outputs;
    struct output *outputs = NULL;
    struct History history;
    DCELL **values = NULL, **values_tmp = NULL;

    DCELL(**values_w)[2];     /* list of values and weights */
    DCELL(**values_w_tmp)[2]; /* list of values and weights */
    int have_weights;
    int nrows, ncols;
    int row, col;
    double lo, hi;
    RASTER_MAP_TYPE intype, maptype;

    G_gisinit(argv[0]);

    module = G_define_module();
    G_add_keyword(_("raster"));
    G_add_keyword(_("aggregation"));
    G_add_keyword(_("series"));
    G_add_keyword(_("parallel"));
    module->description =
        _("Makes each output cell value a "
          "function of the values assigned to the corresponding cells "
          "in the input raster map layers.");

    parm.input = G_define_standard_option(G_OPT_R_INPUTS);
    parm.input->required = NO;

    parm.file = G_define_standard_option(G_OPT_F_INPUT);
    parm.file->key = "file";
    parm.file->description =
        _("Input file with one raster map name and optional one weight per "
          "line, field separator between name and weight is |");
    parm.file->required = NO;

    parm.output = G_define_standard_option(G_OPT_R_OUTPUT);
    parm.output->multiple = YES;

    parm.method = G_define_option();
    parm.method->key = "method";
    parm.method->type = TYPE_STRING;
    parm.method->required = YES;
    parm.method->options = build_method_list();
    parm.method->description = _("Aggregate operation");
    parm.method->multiple = YES;

    parm.quantile = G_define_option();
    parm.quantile->key = "quantile";
    parm.quantile->type = TYPE_DOUBLE;
    parm.quantile->required = NO;
    parm.quantile->description = _("Quantile to calculate for method=quantile");
    parm.quantile->options = "0.0-1.0";
    parm.quantile->multiple = YES;

    parm.weights = G_define_option();
    parm.weights->key = "weights";
    parm.weights->type = TYPE_DOUBLE;
    parm.weights->required = NO;
    parm.weights->description = _("Weighting factor for each input map, "
                                  "default value is 1.0 for each input map");
    parm.weights->multiple = YES;

    parm.range = G_define_option();
    parm.range->key = "range";
    parm.range->type = TYPE_DOUBLE;
    parm.range->key_desc = "lo,hi";
    parm.range->description = _("Ignore values outside this range");

    parm.nprocs = G_define_standard_option(G_OPT_M_NPROCS);
    parm.memory = G_define_standard_option(G_OPT_MEMORYMB);

    flag.nulls = G_define_flag();
    flag.nulls->key = 'n';
    flag.nulls->description = _("Propagate NULLs");

    flag.lazy = G_define_flag();
    flag.lazy->key = 'z';
    flag.lazy->description = _("Do not keep files open");

    if (G_parser(argc, argv))
        exit(EXIT_FAILURE);

    sscanf(parm.nprocs->answer, "%d", &nprocs);
    if (nprocs < 1) {
      G_fatal_error(_("<%d> is not valid number of nprocs."), nprocs);
    }
#if defined(_OPENMP)
    omp_set_num_threads(nprocs);
#else
    if (nprocs != 1)
        G_warning(_("GRASS is compiled without OpenMP support. Ignoring "
                    "threads setting."));
    nprocs = 1;
#endif
    threaded = nprocs > 1;

    lo = -1.0 / 0.0; /* -inf */
    hi = 1.0 / 0.0;  /* inf */
    if (parm.range->answer) {
        lo = atof(parm.range->answers[0]);
        hi = atof(parm.range->answers[1]);
    }

    if (parm.input->answer && parm.file->answer)
        G_fatal_error(_("%s= and %s= are mutually exclusive"), parm.input->key,
                      parm.file->key);

    if (!parm.input->answer && !parm.file->answer)
        G_fatal_error(_("Please specify %s= or %s="), parm.input->key,
                      parm.file->key);

    have_weights = 0;

    intype = -1;

    /* process the input maps from the file */
    inputs = G_calloc(nprocs, sizeof *inputs);
    if (parm.file->answer) {
        FILE *in;
        int max_inputs;

        if (strcmp(parm.file->answer, "-") == 0)
            in = stdin;
        else {
            in = fopen(parm.file->answer, "r");
            if (!in)
                G_fatal_error(_("Unable to open input file <%s>"),
                              parm.file->answer);
        }

        num_inputs = 0;
        max_inputs = 0;

        for (;;) {
            char buf[GNAME_MAX + 50]; /* Name and weight */
            char tok_buf[GNAME_MAX + 50];
            char *name;
            int ntokens;
            char **tokens;
            struct input *p;
            double weight = 1.0;

            if (!G_getl2(buf, sizeof(buf), in))
                break;

            strcpy(tok_buf, buf);
            tokens = G_tokenize(tok_buf, "|");
            ntokens = G_number_of_tokens(tokens);

            name = G_chop(tokens[0]);
            if (ntokens > 1) {
                weight = atof(G_chop(tokens[1]));

                if (weight < 0)
                    G_fatal_error(_("Weights must be positive"));

                if (weight != 1)
                    have_weights = 1;
            }

            /* Ignore empty lines */
            if (!*name)
                continue;

            if (num_inputs >= max_inputs) {
                max_inputs += 100;
                for (t = 0; t < nprocs; t++)
                    inputs[t] = G_realloc(inputs[t], max_inputs * sizeof(struct input));
            }

            for (t = 0; t < nprocs; t++) {
                p = &inputs[t][num_inputs];

                p->name = G_store(name);
                p->weight = weight;
                G_verbose_message(_("Reading raster map <%s> using weight %f..."),
                                  p->name, p->weight);
                p->fd = Rast_open_old(p->name, "");
                if (p->fd < 0)
                    G_fatal_error(_("Unable to open input raster <%s>"), p->name);
                maptype = Rast_get_map_type(p->fd);
                if (intype == -1)
                    intype = maptype;
                else {
                    if (intype != maptype)
                        intype = DCELL_TYPE;
                }
                if (flag.lazy->answer)
                    Rast_close(p->fd);
                p->buf = Rast_allocate_d_buf();
            }

            num_inputs++;
        }

        if (num_inputs < 1)
            G_fatal_error(_("No raster map name found in input file"));

        fclose(in);
    } else {
        int num_weights;

        for (i = 0; parm.input->answers[i]; i++) ;
        num_inputs = i;

        if (num_inputs < 1)
            G_fatal_error(_("Raster map not found"));

        /* count weights */
        num_weights = 0;
        if (parm.weights->answers) {
            for (i = 0; parm.weights->answers[i]; i++) ;
            num_weights = i;
        }

        if (num_weights && num_weights != num_inputs)
            G_fatal_error(
                _("input= and weights= must have the same number of values"));

        for (t = 0; t < nprocs; t++) {
            inputs[t] = G_malloc(num_inputs * sizeof(struct input));

            for (i = 0; i < num_inputs; i++) {
                struct input *p = &inputs[t][i];

                p->name = parm.input->answers[i];
                p->weight = 1.0;

                if (num_weights) {
                    p->weight = (DCELL) atof(parm.weights->answers[i]);

                    if (p->weight < 0)
                        G_fatal_error(_("Weights must be positive"));

                    if (p->weight != 1)
                        have_weights = 1;
                }

                G_verbose_message(_("Reading raster map <%s> using weight %f..."),
                                  p->name, p->weight);
                p->fd = Rast_open_old(p->name, "");
                if (p->fd < 0)
                    G_fatal_error(_("Unable to open input raster <%s>"), p->name);
                maptype = Rast_get_map_type(p->fd);
                if (intype == -1)
                    intype = maptype;
                else {
                    if (intype != maptype)
                        intype = DCELL_TYPE;
                }
                if (flag.lazy->answer)
                    Rast_close(p->fd);
                p->buf = Rast_allocate_d_buf();
            }

        }
    }

    nrows = Rast_window_rows();
    ncols = Rast_window_cols();

    bufrows = atoi(parm.memory->answer) * (((1 << 20) / sizeof(DCELL)) / ncols);
    /* set the output buffer rows to be at most covering the entire map */
    if (bufrows > nrows) {
        bufrows = nrows;
    }
    /* but at least the number of threads */
    if (bufrows < nprocs) {
        bufrows = nprocs;
    }

    /* set the locks for lazily opening raster files */
#if defined(_OPENMP)
    if (flag.lazy->answer && threaded) {
        omp_init_lock(&fd_lock);
    }
#endif

    /* process the output maps */
    for (i = 0; parm.output->answers[i]; i++) ;
    num_outputs = i;

    for (i = 0; parm.method->answers[i]; i++) ;
    if (num_outputs != i)
        G_fatal_error(
            _("output= and method= must have the same number of values"));

    outputs = G_calloc(num_outputs, sizeof(struct output));

    for (i = 0; i < num_outputs; i++) {
        struct output *out = &outputs[i];
        const char *output_name = parm.output->answers[i];
        const char *method_name = parm.method->answers[i];
        int method = find_method(method_name);

        out->name = output_name;

        if (have_weights) {
            if (menu[method].method_w) {
                out->method_fn = NULL;
                out->method_fn_w = menu[method].method_w;
                /* special case mode: the result of a weighed mode
                 * can be stored as type of input
                 * all other weighed versions: result as DCELL_TYPE */
                if (menu[method].outtype == CELL_TYPE)
                    menu[method].outtype = DCELL_TYPE;
            } else {
                G_warning(_("Method %s not compatible with weights, using "
                            "unweighed version instead"),
                          method_name);

                out->method_fn = menu[method].method;
                out->method_fn_w = NULL;
            }
        } else {
            out->method_fn = menu[method].method;
            out->method_fn_w = NULL;
        }

        out->quantile = (parm.quantile->answer && parm.quantile->answers[i])
                            ? atof(parm.quantile->answers[i])
                            : 0;
        out->buf = G_calloc((size_t) bufrows * ncols, sizeof(DCELL));
        if (menu[method].outtype == -1)
            out->fd = Rast_open_new(output_name, intype);
        else
            out->fd = Rast_open_new(output_name, menu[method].outtype);
    }

    /* initialise variables */
    values = G_malloc(nprocs * sizeof *values);
    values_tmp = G_malloc(nprocs * sizeof *values_tmp);
    for (t = 0; t < nprocs; t++) {
        values[t] = G_malloc(sizeof(DCELL) * num_inputs);
        values_tmp[t] = G_malloc(sizeof(DCELL) * num_inputs);
    }
    values_w = NULL;
    values_w_tmp = NULL;
    if (have_weights) {
        values_w = G_malloc(nprocs * sizeof *values_w);
        values_w_tmp = G_malloc(nprocs * sizeof *values_w_tmp);
        for (t = 0; t < nprocs; t++) {
            values_w[t] = (DCELL(*)[2]) G_malloc(sizeof(DCELL) * num_inputs * 2);
            values_w_tmp[t] = (DCELL(*)[2]) G_malloc(sizeof(DCELL) * num_inputs * 2);
        }
    }

    /* process the data */
    G_verbose_message(_("Percent complete..."));

    int computed = 0;
    int written = 0;

    while (written < nrows) {
        int range = bufrows;
        if (range > nrows - written) {
            range = nrows - written;
        }
        int start = written;
        int end = written + range;

#pragma omp parallel if(threaded) private(row, col, i)
        {
            int t_id = 0;
#if defined(_OPENMP)
            t_id = omp_get_thread_num();
#endif
            struct input *in = inputs[t_id];
            DCELL *val = values[t_id];
            DCELL *val_tmp = values_tmp[t_id];
            DCELL (*val_w)[2] = NULL;
            DCELL (*val_w_tmp)[2] = NULL;
            if (have_weights) {
                val_w = values_w[t_id];
                val_w_tmp = values_w_tmp[t_id];
            }

#pragma omp for schedule(static)
            for (row = start; row < end; row++) {
                G_percent(computed, nrows, 2);

                if (flag.lazy->answer) {
                    /* Open the files only on run time */
                    for (i = 0; i < num_inputs; i++) {
#if defined(_OPENMP)
                        if(threaded) {
                            omp_set_lock(&fd_lock);
                            in[i].fd = Rast_open_old(in[i].name, "");
                            omp_unset_lock(&fd_lock);

                            Rast_get_d_row(in[i].fd, in[i].buf, row);

                            omp_set_lock(&fd_lock);
                            Rast_close(in[i].fd);
                            omp_unset_lock(&fd_lock);
                        } else {
                            in[i].fd = Rast_open_old(in[i].name, "");
                            Rast_get_d_row(in[i].fd, in[i].buf, row);
                            Rast_close(in[i].fd);
                        }
#else
                        in[i].fd = Rast_open_old(in[i].name, "");
                        Rast_get_d_row(in[i].fd, in[i].buf, row);
                        Rast_close(in[i].fd);
#endif
                    }
                } else {
                    for (i = 0; i < num_inputs; i++)
                        Rast_get_d_row(in[i].fd, in[i].buf, row);
                }

                for (col = 0; col < ncols; col++) {
                    int null = 0;
                    size_t s = (size_t) (row - start) * ncols + col;

                    for (i = 0; i < num_inputs; i++) {
                        DCELL v = in[i].buf[col];

                        if (Rast_is_d_null_value(&v))
                            null = 1;
                        else if (parm.range->answer && (v < lo || v > hi)) {
                            Rast_set_d_null_value(&v, 1);
                            null = 1;
                        }
                        values[t_id][i] = v;
                        if (have_weights) {
                            val_w[i][0] = v;
                            val_w[i][1] = in[i].weight;
                        }
                    }

                    for (i = 0; i < num_outputs; i++) {
                        struct output *out = &outputs[i];

                        if (null && flag.nulls->answer)
                            Rast_set_d_null_value(&out->buf[s], 1);
                        else {
                            if (out->method_fn_w) {
                                memcpy(val_w_tmp, val_w,
                                       num_inputs * 2 * sizeof(DCELL));
                                (*out->method_fn_w)(&out->buf[s], val_w_tmp,
                                                    num_inputs, &out->quantile);
                            } else {
                                memcpy(val_tmp, val, num_inputs * sizeof(DCELL));
                                (*out->method_fn)(&out->buf[s], val_tmp,
                                                  num_inputs, &out->quantile);
                            }
                        }
                    }
                }

                computed++;
            } /* end for loop */
        } /* end parallel region */

        /* write output buffer to disk */
        for (i = 0; i < num_outputs; i++) {
            struct output *out = &outputs[i];
            for (row = start; row < end; row++)
                Rast_put_d_row(out->fd, &out->buf[(size_t) (row - start) * ncols]);
        }
        written = end;

    } /* end while loop */

    G_percent(nrows, nrows, 2);

    /* destroy locks */
#if defined(_OPENMP)
    if (flag.lazy->answer && nprocs > 1) {
        omp_destroy_lock(&fd_lock);
    }
#endif

    /* close output maps */
    for (i = 0; i < num_outputs; i++) {
        struct output *out = &outputs[i];

        Rast_close(out->fd);

        Rast_short_history(out->name, "raster", &history);
        Rast_command_history(&history);
        Rast_write_history(out->name, &history);
    }

    /* close input maps */
    if (!flag.lazy->answer) {
        for (t = 0; t < nprocs; t++)
            for (i = 0; i < num_inputs; i++)
                Rast_close(inputs[t][i].fd);
    }

    exit(EXIT_SUCCESS);
}
