199 lines
5.6 KiB
Python
199 lines
5.6 KiB
Python
from itertools import groupby
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MONTHLY_SPEND_AARDVARK = {
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"LC04": {
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"Integ": {
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"10/2018": 284,
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"11/2018": 1210,
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"12/2018": 1430,
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"01/2019": 1366,
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"02/2019": 1169,
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"03/2019": 991,
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"04/2019": 978,
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"05/2019": 737,
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},
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"PreProd": {
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"10/2018": 812,
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"11/2018": 1389,
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"12/2018": 1425,
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"01/2019": 1306,
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"02/2019": 1112,
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"03/2019": 936,
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"04/2019": 921,
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"05/2019": 694,
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},
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"Prod": {
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"10/2018": 1742,
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"11/2018": 1716,
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"12/2018": 1866,
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"01/2019": 1809,
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"02/2019": 1839,
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"03/2019": 1633,
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"04/2019": 1654,
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"05/2019": 1103,
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},
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},
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"SF18": {
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"Integ": {
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"12/2018": 1498,
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"01/2019": 1400,
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"02/2019": 1394,
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"03/2019": 1171,
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"04/2019": 1200,
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"05/2019": 963,
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},
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"PreProd": {
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"12/2018": 1780,
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"01/2019": 1667,
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"02/2019": 1703,
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"03/2019": 1474,
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"04/2019": 1441,
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"05/2019": 933,
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},
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"Prod": {
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"12/2018": 1686,
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"01/2019": 1779,
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"02/2019": 1792,
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"03/2019": 1570,
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"04/2019": 1539,
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"05/2019": 986,
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},
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},
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"Canton": {
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"Prod": {
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"01/2019": 28699,
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"02/2019": 26766,
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"03/2019": 22619,
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"04/2019": 24090,
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"05/2019": 16719,
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}
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},
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"BD04": {
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"Integ": {},
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"PreProd": {
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"10/2018": 7019,
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"11/2018": 3004,
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"12/2018": 2691,
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"01/2019": 2901,
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"02/2019": 3463,
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"03/2019": 3314,
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"04/2019": 3432,
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"05/2019": 723,
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},
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},
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"SCV18": {"Dev": {"05/2019": 9797}},
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"Crown": {
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"CR Portal Dev": {
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"11/2018": 208,
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"12/2018": 457,
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"01/2019": 671,
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"02/2019": 136,
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"03/2019": 1524,
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"04/2019": 2077,
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"05/2019": 1858,
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},
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"CR Staging": {
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"11/2018": 208,
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"12/2018": 457,
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"01/2019": 671,
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"02/2019": 136,
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"03/2019": 1524,
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"04/2019": 2077,
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"05/2019": 1858,
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},
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"CR Portal Test 1": {"03/2019": 806, "04/2019": 1966, "05/2019": 2597},
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"Jewels Prod": {"03/2019": 806, "04/2019": 1966, "05/2019": 2597},
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"Jewels Dev": {
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"11/2018": 145,
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"12/2018": 719,
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"01/2019": 1243,
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"02/2019": 2214,
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"03/2019": 2959,
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"04/2019": 4151,
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"05/2019": 4260,
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},
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},
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}
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CUMULATIVE_BUDGET_AARDVARK = {
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"10/2018": {"spend": 9857, "cumulative": 9857},
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"11/2018": {"spend": 7881, "cumulative": 17738},
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"12/2018": {"spend": 14010, "cumulative": 31748},
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"01/2019": {"spend": 43510, "cumulative": 75259},
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"02/2019": {"spend": 41725, "cumulative": 116984},
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"03/2019": {"spend": 41328, "cumulative": 158312},
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"04/2019": {"spend": 47491, "cumulative": 205803},
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"05/2019": {"spend": 45826, "cumulative": 251629},
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"06/2019": {"projected": 296511},
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"07/2019": {"projected": 341393},
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"08/2019": {"projected": 386274},
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"09/2019": {"projected": 431156},
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}
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MONTHLY_SPEND_BELUGA = {
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"NP02": {
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"Integ": {"02/2019": 284, "03/2019": 1210},
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"PreProd": {"02/2019": 812, "03/2019": 1389},
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"Prod": {"02/2019": 3742, "03/2019": 4716},
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},
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"FM": {"Integ": {"03/2019": 1498}, "Prod": {"03/2019": 5686}},
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}
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CUMULATIVE_BUDGET_BELUGA = {
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"02/2019": {"spend": 4838, "cumulative": 4838},
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"03/2019": {"spend": 14500, "cumulative": 19338},
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"04/2019": {"projected": 29007},
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"05/2019": {"projected": 38676},
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"06/2019": {"projected": 48345},
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"07/2019": {"projected": 58014},
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"08/2019": {"projected": 67683},
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"09/2019": {"projected": 77352},
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}
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class Reports:
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@classmethod
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def workspace_totals(cls, alternate):
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data = MONTHLY_SPEND_BELUGA if alternate else MONTHLY_SPEND_AARDVARK
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spent = sum(
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[
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spend
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for project in data.values()
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for env in project.values()
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for spend in env.values()
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]
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)
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budget = 70_000 if alternate else 500_000
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return {"budget": budget, "spent": spent}
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@classmethod
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def monthly_totals(cls, alternate):
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data = MONTHLY_SPEND_BELUGA if alternate else MONTHLY_SPEND_AARDVARK
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project_totals = {}
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for project, environments in data.items():
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project_spend = [
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(month, spend)
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for env in environments.values()
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for month, spend in env.items()
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]
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project_totals[project] = {
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month: sum([spend[1] for spend in spends])
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for month, spends in groupby(sorted(project_spend), lambda x: x[0])
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}
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monthly_spend = [
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(month, spend)
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for project in project_totals.values()
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for month, spend in project.items()
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]
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workspace_totals = {}
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for month, spends in groupby(sorted(monthly_spend), lambda m: m[0]):
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workspace_totals[month] = sum([spend[1] for spend in spends])
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return {
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"environments": data,
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"projects": project_totals,
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"workspace": workspace_totals,
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}
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