import random
from time import perf_counter as clock
from pathlib import Path

import h5py
import numpy as np

random.seed(2)


def show_stats(explain, tref):
    "Show the used memory (only works for Linux 2.6.x)."
    for line in Path("/proc/self/status").read_text().splitlines():
        if line.startswith("VmSize:"):
            vmsize = int(line.split()[1])
        elif line.startswith("VmRSS:"):
            vmrss = int(line.split()[1])
        elif line.startswith("VmData:"):
            vmdata = int(line.split()[1])
        elif line.startswith("VmStk:"):
            vmstk = int(line.split()[1])
        elif line.startswith("VmExe:"):
            vmexe = int(line.split()[1])
        elif line.startswith("VmLib:"):
            vmlib = int(line.split()[1])
    print("Memory usage: ******* %s *******" % explain)
    print(f"VmSize: {vmsize:>7} kB\tVmRSS: {vmrss:>7} kB")
    print(f"VmData: {vmdata:>7} kB\tVmStk: {vmstk:>7} kB")
    print(f"VmExe:  {vmexe:>7} kB\tVmLib: {vmlib:>7} kB")
    tnow = clock()
    print(f"WallClock time: {tnow - tref:.3f}")
    return tnow


def populate(f, nlevels):
    g = f
    arr = np.zeros((10,), "f4")
    for i in range(nlevels):
        g["DS1"] = arr
        g["DS2"] = arr
        g.create_group("group2_")
        g = g.create_group("group")


def getnode(f, nlevels, niter, range_):
    for i in range(niter):
        nlevel = random.randrange(
            (nlevels - range_) / 2, (nlevels + range_) / 2
        )
        groupname = ""
        for i in range(nlevel):
            groupname += "/group"
        groupname += "/DS1"
        f[groupname]


if __name__ == "__main__":
    nlevels = 1024
    niter = 1000
    range_ = 256
    profile = True
    doprofile = True
    verbose = False

    if doprofile:
        import pstats
        import cProfile

    if profile:
        tref = clock()
    if profile:
        show_stats("Abans de crear...", tref)
    f = h5py.File("/tmp/deep-tree.h5", "w")
    if doprofile:
        cProfile.run("populate(f, nlevels)", "populate.prof")
        stats = pstats.Stats("populate.prof")
        stats.strip_dirs()
        stats.sort_stats("time", "calls")
        if verbose:
            stats.print_stats()
        else:
            stats.print_stats(20)
    else:
        populate(f, nlevels)
    f.close()
    if profile:
        show_stats("Despres de crear", tref)

#     if profile: tref = time()
#     if profile: show_stats("Abans d'obrir...", tref)
#     f = h5py.File("/tmp/deep-tree.h5", 'r')
#     if profile: show_stats("Abans d'accedir...", tref)
#     if doprofile:
#         prof.run('getnode(f, nlevels, niter, range_)', 'deep-tree.prof')
#         stats = pstats.Stats('deep-tree.prof')
#         stats.strip_dirs()
#         stats.sort_stats('time', 'calls')
#         if verbose:
#             stats.print_stats()
#         else:
#             stats.print_stats(20)
#     else:
#         getnode(f, nlevels, niter, range_)
#     if profile: show_stats("Despres d'accedir", tref)
#     f.close()
#     if profile: show_stats("Despres de tancar", tref)

#     f = h5py.File("/tmp/deep-tree.h5", 'r')
#     g = f
#     for i in range(nlevels):
#         dset = g["DS1"]
#         dset = g["DS2"]
#         group2 = g['group2_']
#         g = g['group']
#     f.close()
