10488714694

Committed 21 Aug 2024 11:09AM UTC coverage: 80.894% (-4.8%) from 85.65%

Build # 10488714694

Build Type

push

github

Committed by

uvchik

Commit Message

Add core classes

Run Details

41 of 47 branches covered (87.23%)

Branch coverage included in aggregate %.

8 of 23 new or added lines in 1 file covered. (34.78%)

158 of 199 relevant lines covered (79.4%)

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48.28

/src/dave_data/core.py

import datetime

import pandas as pd


class MetaData:
    """
    Meta Data Class for DAVE_data.

    Parameters
    ----------
    source_license
    source_date


    Attributes
    ----------
    license : str
    organisation : str
    source_date : str
    fetch_date : datetime.date
    source meta : dict
    """

    def __init__(self, source_license, source_date, organisation=None):
        self.license = source_license
        self.source_date = self._convert_date(source_date)
        self.fetch_date = datetime.datetime.now()
        self.source_url = None
        self.organisation = None
        self.source_meta = None

    def _convert_date(self, value):
        return ""


class Data:
    """
    Attributes
    ----------
    name
    """

    def __init__(
        self,
        name,
        description = None,
        data=None,
        meta=None,
        polygon=None,
        tags=None,
    ):
        """

        Parameters
        ----------
        data : geopandas.geoDataFrame
            Data table with the original data.
        organ
        """
        self.name = name
        self.description = description
        self.data = data  # geopandas.geoDataFrame
        self.meta = meta  # MetaData object
        self.polygon = polygon  # Searching polygon
        self.tags = tags  # list

    def store(self):
        pass

    def restore(self):
        pass


def compute(args):
    return max(args, key=len)


def get_data(datatype):
    """

    Parameters
    ----------
    datatype :str
        The category of your data.

    Returns
    -------
    pandas.Series

    Examples
    --------
    >>> get_data("building")
    Here is your building data.
    0    1
    1    2
    2    3
    3    4
    dtype: int64
    """
    print(f"Here is your {datatype} data.")
    return pd.Series([1, 2, 3, 4])

1	import datetime	5✔
2
3	import pandas as pd	5✔
4
5
6	class MetaData:	5✔
7	"""
8	Meta Data Class for DAVE_data.
9
10	Parameters
11	----------
12	source_license
13	source_date
14
15
16	Attributes
17	----------
18	license : str
19	organisation : str
20	source_date : str
21	fetch_date : datetime.date
22	source meta : dict
23	"""
24
25	def __init__(self, source_license, source_date, organisation=None):	5✔
NEW 26	self.license = source_license	×
NEW 27	self.source_date = self._convert_date(source_date)	×
NEW 28	self.fetch_date = datetime.datetime.now()	×
NEW 29	self.source_url = None	×
NEW 30	self.organisation = None	×
NEW 31	self.source_meta = None	×
32
33	def _convert_date(self, value):	5✔
NEW 34	return ""	×
35
36
37	class Data:	5✔
38	"""
39	Attributes
40	----------
41	name
42	"""
43
44	def __init__(	5✔
45	self,
46	name,
47	description = None,
48	data=None,
49	meta=None,
50	polygon=None,
51	tags=None,
52	):
53	"""
54
55	Parameters
56	----------
57	data : geopandas.geoDataFrame
58	Data table with the original data.
59	organ
60	"""
NEW 61	self.name = name	×
NEW 62	self.description = description	×
NEW 63	self.data = data # geopandas.geoDataFrame	×
NEW 64	self.meta = meta # MetaData object	×
NEW 65	self.polygon = polygon # Searching polygon	×
NEW 66	self.tags = tags # list	×
67
68	def store(self):	5✔
NEW 69	pass	×
70
71	def restore(self):	5✔
NEW 72	pass	×
73
74
75	def compute(args):	5✔
76	return max(args, key=len)	5✔
77
78
79	def get_data(datatype):	5✔
80	"""
81
82	Parameters
83	----------
84	datatype :str
85	The category of your data.
86
87	Returns
88	-------
89	pandas.Series
90
91	Examples
92	--------
93	>>> get_data("building")
94	Here is your building data.
95	0 1
96	1 2
97	2 3
98	3 4
99	dtype: int64
100	"""
101	print(f"Here is your {datatype} data.")	5✔
102	return pd.Series([1, 2, 3, 4])	5✔

DaveFoss / DAVE_data / 10488714694

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