// SPDX-License-Identifier: GPL-2.0 #include #include "dive.h" #include "device.h" /* * Good fake dive profiles are hard. * * "depthtime" is the integral of the dive depth over * time ("area" of the dive profile). We want that * area to match the average depth (avg_d*max_t). * * To do that, we generate a 6-point profile: * * (0, 0) * (t1, max_d) * (t2, max_d) * (t3, d) * (t4, d) * (max_t, 0) * * with the same ascent/descent rates between the * different depths. * * NOTE: avg_d, max_d and max_t are given constants. * The rest we can/should play around with to get a * good-looking profile. * * That six-point profile gives a total area of: * * (max_d*max_t) - (max_d*t1) - (max_d-d)*(t4-t3) * * And the "same ascent/descent rates" requirement * gives us (time per depth must be same): * * t1 / max_d = (t3-t2) / (max_d-d) * t1 / max_d = (max_t-t4) / d * * We also obviously require: * * 0 <= t1 <= t2 <= t3 <= t4 <= max_t * * Let us call 'd_frac = d / max_d', and we get: * * Total area must match average depth-time: * * (max_d*max_t) - (max_d*t1) - (max_d-d)*(t4-t3) = avg_d*max_t * max_d*(max_t-t1-(1-d_frac)*(t4-t3)) = avg_d*max_t * max_t-t1-(1-d_frac)*(t4-t3) = avg_d*max_t/max_d * t1+(1-d_frac)*(t4-t3) = max_t*(1-avg_d/max_d) * * and descent slope must match ascent slopes: * * t1 / max_d = (t3-t2) / (max_d*(1-d_frac)) * t1 = (t3-t2)/(1-d_frac) * * and * * t1 / max_d = (max_t-t4) / (max_d*d_frac) * t1 = (max_t-t4)/d_frac * * In general, we have more free variables than we have constraints, * but we can aim for certain basics, like a good ascent slope. */ static int fill_samples(struct sample *s, int max_d, int avg_d, int max_t, double slope, double d_frac) { double t_frac = max_t * (1 - avg_d / (double)max_d); int t1 = lrint(max_d / slope); int t4 = lrint(max_t - t1 * d_frac); int t3 = lrint(t4 - (t_frac - t1) / (1 - d_frac)); int t2 = lrint(t3 - t1 * (1 - d_frac)); if (t1 < 0 || t1 > t2 || t2 > t3 || t3 > t4 || t4 > max_t) return 0; s[1].time.seconds = t1; s[1].depth.mm = max_d; s[2].time.seconds = t2; s[2].depth.mm = max_d; s[3].time.seconds = t3; s[3].depth.mm = lrint(max_d * d_frac); s[4].time.seconds = t4; s[4].depth.mm = lrint(max_d * d_frac); return 1; } /* we have no average depth; instead of making up a random average depth * we should assume either a PADI rectangular profile (for short and/or * shallow dives) or more reasonably a six point profile with a 3 minute * safety stop at 5m */ static void fill_samples_no_avg(struct sample *s, int max_d, int max_t, double slope) { // shallow or short dives are just trapecoids based on the given slope if (max_d < 10000 || max_t < 600) { s[1].time.seconds = lrint(max_d / slope); s[1].depth.mm = max_d; s[2].time.seconds = max_t - lrint(max_d / slope); s[2].depth.mm = max_d; } else { s[1].time.seconds = lrint(max_d / slope); s[1].depth.mm = max_d; s[2].time.seconds = max_t - lrint(max_d / slope) - 180; s[2].depth.mm = max_d; s[3].time.seconds = max_t - lrint(5000 / slope) - 180; s[3].depth.mm = 5000; s[4].time.seconds = max_t - lrint(5000 / slope); s[4].depth.mm = 5000; } } struct divecomputer *fake_dc(struct divecomputer *dc, bool alloc) { static struct sample fake_samples[6]; static struct divecomputer fakedc; struct sample *fake = fake_samples; int i; fakedc = (*dc); if (alloc) fake = malloc(sizeof(fake_samples)); fakedc.sample = fake; fakedc.samples = 6; /* The dive has no samples, so create a few fake ones */ int max_t = dc->duration.seconds; int max_d = dc->maxdepth.mm; int avg_d = dc->meandepth.mm; memset(fake, 0, sizeof(fake_samples)); fake[5].time.seconds = max_t; for (i = 0; i < 6; i++) { fake_samples[i].bearing.degrees = -1; fake_samples[i].ndl.seconds = -1; } if (!max_t || !max_d) return &fakedc; /* * We want to fake the profile so that the average * depth ends up correct. However, in the absence of * a reasonable average, let's just make something * up. Note that 'avg_d == max_d' is _not_ a reasonable * average. * We explicitly treat avg_d == 0 differently */ if (avg_d == 0) { /* we try for a sane slope, but bow to the insanity of * the user supplied data */ fill_samples_no_avg(fake, max_d, max_t, MAX(2.0 * max_d / max_t, 5000.0 / 60)); if (fake[3].time.seconds == 0) { // just a 4 point profile fakedc.samples = 4; fake[3].time.seconds = max_t; } return &fakedc; } if (avg_d < max_d / 10 || avg_d >= max_d) { avg_d = (max_d + 10000) / 3; if (avg_d > max_d) avg_d = max_d * 2 / 3; } if (!avg_d) avg_d = 1; /* * Ok, first we try a basic profile with a specific ascent * rate (5 meters per minute) and d_frac (1/3). */ if (fill_samples(fake, max_d, avg_d, max_t, 5000.0 / 60, 0.33)) return &fakedc; /* * Ok, assume that didn't work because we cannot make the * average come out right because it was a quick deep dive * followed by a much shallower region */ if (fill_samples(fake, max_d, avg_d, max_t, 10000.0 / 60, 0.10)) return &fakedc; /* * Uhhuh. That didn't work. We'd need to find a good combination that * satisfies our constraints. Currently, we don't, we just give insane * slopes. */ if (fill_samples(fake, max_d, avg_d, max_t, 10000.0, 0.01)) return &fakedc; /* Even that didn't work? Give up, there's something wrong */ return &fakedc; } static void match_id(void *_dc, const char *model, uint32_t deviceid, const char *nickname, const char *serial, const char *firmware) { // here nickname is unused (void)nickname; struct divecomputer *dc = _dc; if (dc->deviceid != deviceid) return; if (!model || !dc->model || strcmp(dc->model, model)) return; if (serial && !dc->serial) dc->serial = strdup(serial); if (firmware && !dc->fw_version) dc->fw_version = strdup(firmware); } /* * When setting the device ID, we also fill in the * serial number and firmware version data */ void set_dc_deviceid(struct divecomputer *dc, unsigned int deviceid) { if (deviceid) { dc->deviceid = deviceid; call_for_each_dc(dc, match_id, false); } }