Synnefo

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import json

from datetime import datetime

from django.utils.timesince import timesince, timeuntil

from synnefo.util.text import uenc, udec

def parse_bool(value, strict=True):

    """Convert a string to boolen value.

    If string is True, then ValueError will be raised, if the string can not be

    converted to boolean. Otherwise the string will be returned as is.

    """

    if value.lower() in ("yes", "true", "t", "1"):

        return True

    if value.lower() in ("no", "false", "f", "0"):

        return False

    if strict:

        raise ValueError("Can convert '%s' to boolean value")

    else:

        return value

def format_bool(b):

    """Convert a boolean value to YES or NO."""

    return "YES" if b else "NO"

def format_date(d):

    if not d:

        return ""

    if d < datetime.now():

        return timesince(d) + " ago"

    else:

        return "in " + timeuntil(d)

def parse_filters(filter_by):

    """Parse a string into lookup parameters for QuerySet.filter(**kwargs).

    This functions converts a string of comma-separated key 'cond' val triples

    to two dictionaries, containing lookup parameters to be used for filter

    and exclude functions of QuerySet.

    e.g. filter_by="foo>=2, baz!=4" -> ({"foo__gte": "2"}, {"baz": "4"})

    """

    filter_dict = {}

    exclude_dict = {}

    filter_list = filter_by.split(",")

    def map_field_type(query):

        if "!=" in query:

            key, val = query.split("!=")

            exclude_dict[key] = parse_bool(val, strict=False)

            return

        OP_MAP = {

            ">=": "__gte",

            "=>": "__gte",

            ">":  "__gt",

            "<=": "__lte",

            "=<": "__lte",

            "<":  "__lt",

            "=":  "",

        }

        for op, new_op in OP_MAP.items():

            if op in query:

                key, val = query.split(op)

                filter_dict[key + new_op] = parse_bool(val, strict=False)

                return

    map(lambda x: map_field_type(x), filter_list)

    return (filter_dict, exclude_dict)

def pprint_table(out, table, headers=None, output_format='pretty',

                 separator=None):

    """Print a pretty, aligned string representation of table.

    Works by finding out the max width of each column and padding to data

    to this value.

    """

    assert(isinstance(table, (list, tuple))), "Invalid table type"

    if headers:

        assert(isinstance(headers, (list, tuple))), "Invalid headers type"

    sep = separator if separator else "  "

    def stringnify(obj):

        if isinstance(obj, (unicode, str)):

            return udec(obj)

        else:

            return str(obj)

    headers = map(stringnify, headers)

    table = [map(stringnify, row) for row in table]

    if output_format == "json":

        table = [dict(zip(headers, row)) for row in table]

        out.write(json.dumps(table, indent=4))

        out.write("\n")

    elif output_format == "csv":

        if headers:

            line = ",".join("\"%s\"" % uenc(v) for v in headers)

            out.write(line + "\n")

            for row in table:

                line = ",".join("\"%s\"" % uenc(v) for v in row)

                out.write(line + "\n")

    elif output_format == "pretty":

        # Find out the max width of each column

        widths = [max(map(len, col)) for col in zip(*([headers] + table))]

        t_length = sum(widths) + len(sep) * (len(widths) - 1)

        if headers:

            # pretty print the headers

            line = sep.join(uenc(v.rjust(w)) for v, w in zip(headers, widths))

            out.write(line + "\n")

            out.write("-" * t_length + "\n")

        # print the rest table

        for row in table:

            line = sep.join(uenc(v.rjust(w)) for v, w in zip(row, widths))

            out.write(line + "\n")

    else:

        raise ValueError("Unknown output format '%s'" % output_format)