"""Small example showing the use of nested types in PyTables.

The program creates an output file, 'nested-tut.h5'.  You can view it
with ptdump or any HDF5 generic utility.

:Author: F. Alted
:Date: 2005/06/10

"""

from __future__ import print_function
import numpy

import tables

#'-**-**-**-**- The sample nested class description  -**-**-**-**-**-'


class Info(tables.IsDescription):
    """A sub-structure of Test"""

    _v_pos = 2   # The position in the whole structure
    name = tables.StringCol(10)
    value = tables.Float64Col(pos=0)

colors = tables.Enum(['red', 'green', 'blue'])


class NestedDescr(tables.IsDescription):
    """A description that has several nested columns."""

    color = tables.EnumCol(colors, 'red', base='uint32')
    info1 = Info()

    class info2(tables.IsDescription):
        _v_pos = 1
        name = tables.StringCol(10)
        value = tables.Float64Col(pos=0)

        class info3(tables.IsDescription):
            x = tables.Float64Col(dflt=1)
            y = tables.UInt8Col(dflt=1)

print()
print('-**-**-**-**-**-**- file creation  -**-**-**-**-**-**-**-')

filename = "nested-tut.h5"

print("Creating file:", filename)
fileh = tables.open_file(filename, "w")

print()
print('-**-**-**-**-**- nested table creation  -**-**-**-**-**-')

table = fileh.create_table(fileh.root, 'table', NestedDescr)

# Fill the table with some rows
row = table.row
for i in range(10):
    row['color'] = colors[['red', 'green', 'blue'][i % 3]]
    row['info1/name'] = "name1-%s" % i
    row['info2/name'] = "name2-%s" % i
    row['info2/info3/y'] = i
    # All the rest will be filled with defaults
    row.append()

table.flush()  # flush the row buffer to disk
print(repr(table.nrows))

nra = table[::4]
print(repr(nra))
# Append some additional rows
table.append(nra)
print(repr(table.nrows))

# Create a new table
table2 = fileh.create_table(fileh.root, 'table2', nra)
print(repr(table2[:]))

# Read also the info2/name values with color == colors.red
names = [x['info2/name'] for x in table if x['color'] == colors.red]

print()
print("**** info2/name elements satisfying color == 'red':", repr(names))

print()
print('-**-**-**-**-**-**- table data reading & selection  -**-**-**-**-**-')

# Read the data
print()
print("**** table data contents:\n", table[:])

print()
print("**** table.info2 data contents:\n", repr(table.cols.info2[1:5]))

print()
print("**** table.info2.info3 data contents:\n",
      repr(table.cols.info2.info3[1:5]))

print("**** _f_col() ****")
print(repr(table.cols._f_col('info2')))
print(repr(table.cols._f_col('info2/info3/y')))

print()
print('-**-**-**-**-**-**- table metadata  -**-**-**-**-**-')

# Read description metadata
print()
print("**** table description (short):\n", repr(table.description))
print()
print("**** more from manual, period ***")
print(repr(table.description.info1))
print(repr(table.description.info2.info3))
print(repr(table.description._v_nested_names))
print(repr(table.description.info1._v_nested_names))
print()
print("**** now some for nested records, take that ****")
print(repr(table.description._v_nested_descr))
print(repr(numpy.rec.array(None, shape=0,
                           dtype=table.description._v_nested_descr)))
print(repr(numpy.rec.array(None, shape=0,
                           dtype=table.description.info2._v_nested_descr)))
print()
print("**** and some iteration over descriptions, too ****")
for coldescr in table.description._f_walk():
    print("column-->", coldescr)
print()
print("**** info2 sub-structure description:\n", table.description.info2)
print()
print("**** table representation (long form):\n", repr(table))

# Remember to always close the file
fileh.close()