19414576289

Committed 17 Nov 2025 12:29AM UTC coverage: 87.583% (-0.5%) from 88.089%

Build # 19414576289

Build Type

Pull #13

github

Committed by

web-flow

Commit Message

Merge 89911213d into f48357b4a

Pull Request Pull Request #13: HDXDSYS-2509 Add valid maintainer(s) columns to dataset and org output

Run Details

28 of 36 new or added lines in 4 files covered. (77.78%)

2 existing lines in 1 file now uncovered.

663 of 757 relevant lines covered (87.58%)

0.88 hits per line

Source File
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85.0

/src/hdx/analysis_scripts/common/__init__.py

from datetime import datetime, timedelta, timezone

from hdx.utilities.dictandlist import dict_of_lists_add


def get_dataset_name_to_explorers(downloads):
    json = downloads.get_package_links()
    dataset_name_to_explorers = {}
    for explorergridlink in json["result"]:
        explorergrid = explorergridlink["title"]
        for dataset_name in set(explorergridlink["package_list"].split(",")):
            dict_of_lists_add(dataset_name_to_explorers, dataset_name, explorergrid)
    return dataset_name_to_explorers


def get_requests_mappings(downloads):
    dataset_id_to_requests = {}
    organisation_name_to_requests = {}
    for request in downloads.get_requests():
        dict_of_lists_add(dataset_id_to_requests, request["package_id"], request)
        dict_of_lists_add(
            organisation_name_to_requests, request["pkg_organization_name"], request
        )
    return dataset_id_to_requests, organisation_name_to_requests


def get_aging(aging_config):
    aging = {}
    for key, value in aging_config.items():
        update_frequency = int(key)
        freshness_frequency = {}
        for status in value:
            nodays = value[status]
            freshness_frequency[status] = timedelta(days=nodays)
        aging[update_frequency] = freshness_frequency
    return aging


def get_previous_quarter(date):
    if date.month < 4:
        start_date = datetime(date.year - 1, 10, 1, 0, 0, tzinfo=timezone.utc)
        end_date = datetime(
            date.year - 1, 12, 31, 23, 59, 59, 999999, tzinfo=timezone.utc
        )
    elif date.month < 7:
        start_date = datetime(date.year, 1, 1, 0, 0, tzinfo=timezone.utc)
        end_date = datetime(date.year, 3, 31, 23, 59, 59, 999999, tzinfo=timezone.utc)
    elif date.month < 10:
        start_date = datetime(date.year, 4, 1, 0, 0, tzinfo=timezone.utc)
        end_date = datetime(date.year, 6, 30, 23, 59, 59, 999999, tzinfo=timezone.utc)
    else:
        start_date = datetime(date.year, 7, 1, 0, 0, tzinfo=timezone.utc)
        end_date = datetime(date.year, 9, 30, 23, 59, 59, 999999, tzinfo=timezone.utc)
    return start_date, end_date

1	from datetime import datetime, timedelta, timezone	1✔
2
3	from hdx.utilities.dictandlist import dict_of_lists_add	1✔
4
5
6	def get_dataset_name_to_explorers(downloads):	1✔
7	json = downloads.get_package_links()	1✔
8	dataset_name_to_explorers = {}	1✔
9	for explorergridlink in json["result"]:	1✔
10	explorergrid = explorergridlink["title"]	1✔
11	for dataset_name in set(explorergridlink["package_list"].split(",")):	1✔
12	dict_of_lists_add(dataset_name_to_explorers, dataset_name, explorergrid)	1✔
13	return dataset_name_to_explorers	1✔
14
15
16	def get_requests_mappings(downloads):	1✔
17	dataset_id_to_requests = {}	1✔
18	organisation_name_to_requests = {}	1✔
19	for request in downloads.get_requests():	1✔
20	dict_of_lists_add(dataset_id_to_requests, request["package_id"], request)	1✔
21	dict_of_lists_add(	1✔
22	organisation_name_to_requests, request["pkg_organization_name"], request
23	)
24	return dataset_id_to_requests, organisation_name_to_requests	1✔
25
26
27	def get_aging(aging_config):	1✔
28	aging = {}	1✔
29	for key, value in aging_config.items():	1✔
30	update_frequency = int(key)	1✔
31	freshness_frequency = {}	1✔
32	for status in value:	1✔
33	nodays = value[status]	1✔
34	freshness_frequency[status] = timedelta(days=nodays)	1✔
35	aging[update_frequency] = freshness_frequency	1✔
36	return aging	1✔
37
38
39	def get_previous_quarter(date):	1✔
40	if date.month < 4:	1✔
41	start_date = datetime(date.year - 1, 10, 1, 0, 0, tzinfo=timezone.utc)	×
42	end_date = datetime(	×
43	date.year - 1, 12, 31, 23, 59, 59, 999999, tzinfo=timezone.utc
44	)
45	elif date.month < 7:	1✔
46	start_date = datetime(date.year, 1, 1, 0, 0, tzinfo=timezone.utc)	×
47	end_date = datetime(date.year, 3, 31, 23, 59, 59, 999999, tzinfo=timezone.utc)	×
48	elif date.month < 10:	1✔
UNCOV 49	start_date = datetime(date.year, 4, 1, 0, 0, tzinfo=timezone.utc)	×
UNCOV 50	end_date = datetime(date.year, 6, 30, 23, 59, 59, 999999, tzinfo=timezone.utc)	×
51	else:
52	start_date = datetime(date.year, 7, 1, 0, 0, tzinfo=timezone.utc)	1✔
53	end_date = datetime(date.year, 9, 30, 23, 59, 59, 999999, tzinfo=timezone.utc)	1✔
54	return start_date, end_date	1✔

OCHA-DAP / hdx-analysis-scripts / 19414576289

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