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SPEC 0: Soften explicit drop schedule. #273

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merged 8 commits into from
Oct 9, 2023
Merged

SPEC 0: Soften explicit drop schedule. #273

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fd0fc53
Soften explicit drop schedule.
Carreau Oct 2, 2023
dcb3c38
one more space
Carreau Oct 2, 2023
5833beb
try as a table
Carreau Oct 2, 2023
1b27079
reformat
Carreau Oct 2, 2023
969ca3f
Update spec-0000/SPEC0_versions.py
Carreau Oct 4, 2023
156d1fa
move cutoff in the past
Carreau Oct 4, 2023
2343242
Fix formatting for prettier
jarrodmillman Oct 9, 2023
201e923
Don't print empty newline at end of schedule.md
jarrodmillman Oct 9, 2023
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99 changes: 76 additions & 23 deletions spec-0000/SPEC0_versions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,10 +28,12 @@
]
plus36 = timedelta(days=int(365 * 3))
plus24 = timedelta(days=int(365 * 2))
delta6month = timedelta(days=int(365 // 2))

# Release data

now = datetime.now()
cutoff = now - delta6month


def get_release_dates(package, support_time=plus24):
Expand Down Expand Up @@ -71,7 +73,7 @@ def get_release_dates(package, support_time=plus24):

for ver, release_date in sorted(release_date.items()):
drop_date = release_date + support_time
if drop_date >= datetime.now():
if drop_date >= cutoff:
releases[ver] = {
"release_date": release_date,
"drop_date": drop_date,
Expand All @@ -97,7 +99,7 @@ def get_release_dates(package, support_time=plus24):
package: {
version: dates
for version, dates in releases.items()
if dates["drop_date"] > now
if dates["drop_date"] > cutoff
}
for package, releases in package_releases.items()
}
Expand All @@ -124,31 +126,82 @@ def get_release_dates(package, support_time=plus24):

# Print drop schedule

rel = {}
for name, releases in package_releases.items():
rel |= {
" ".join([name, str(ver)]): [dates["release_date"], dates["drop_date"]]
for ver, dates in releases.items()
}
data = []
for k, versions in package_releases.items():
for v, dates in versions.items():
data.append(
(
k,
v,
pd.to_datetime(dates["release_date"]),
pd.to_datetime(dates["drop_date"]),
)
)

df = pd.DataFrame(data, columns=["package", "version", "release", "drop"])

print("Saving drop schedule to schedule.md")
with open("schedule.md", "w") as fh:
current_quarter = None
df["quarter"] = df["drop"].dt.to_period("Q")

dq = df.set_index(["quarter", "package"]).sort_index()

# Sort by drop date
rel = dict(sorted(rel.items(), key=lambda item: item[1][1]))

for package, dates in rel.items():
qt = pd.to_datetime(dates[1]).to_period("Q")
print("Saving drop schedule to schedule.md")

# If drop date is in a new quarter, write out a heading
if qt != current_quarter:
if current_quarter != None:
fh.write("\n")
fh.write(f'{str(qt).replace("Q", " – Quarter ")}:\n\n')
current_quarter = qt

fh.write(
f"- {dates[1].strftime('%d %b %Y')}: drop {package} (initially released on {dates[0].strftime('%b %d, %Y')})\n"
def pad_table(table):
rows = [[el.strip() for el in row.split("|")] for row in table]
col_widths = [max(map(len, column)) for column in zip(*rows)]
rows[1] = [
el if el != "----" else "-" * col_widths[i] for i, el in enumerate(rows[1])
]
padded_table = []
for row in rows:
line = ""
for entry, width in zip(row, col_widths):
if not width:
continue
line += f"| {str.ljust(entry, width)} "
line += f"|"
padded_table.append(line)

return padded_table


def make_table(sub):
table = []
table.append("| | | |")
table.append("|----|----|----|")
for package in sorted(set(sub.index.get_level_values(0))):
vers = sub.loc[[package]]["version"]
minv, maxv = min(vers), max(vers)
rels = sub.loc[[package]]["release"]
rel_min, rel_max = min(rels), max(rels)
version_range = str(minv) if minv == maxv else f"{minv} to {maxv}"
rel_range = (
str(rel_min.strftime("%b %Y"))
if rel_min == rel_max
else f"{rel_min.strftime('%b %Y')} and {rel_max.strftime('%b %Y')}"
)
table.append(f"|{package:<15}|{version_range:<19}|released {rel_range}|")

return pad_table(table)


def make_quarter(quarter, dq):
table = ["#### " + str(quarter).replace("Q", " - Quarter ") + ":\n"]
table.append("###### Recommend drop support for:\n")
sub = dq.loc[quarter]
table.extend(make_table(sub))
return "\n".join(table)


with open("schedule.md", "w") as fh:
# we collect package 6 month in the past, and drop the first quarter
# as we might have filtered some of the packages out depending on
# when we ran the script.
tb = []
for quarter in list(sorted(set(dq.index.get_level_values(0))))[1:]:
tb.append(make_quarter(quarter, dq))

fh.write("\n\n".join(tb))
fh.write("\n")
16 changes: 16 additions & 0 deletions spec-0000/chart.md
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Original file line number Diff line number Diff line change
Expand Up @@ -10,12 +10,15 @@ section python
3.12 : 2023-10-02,2026-10-01

section numpy
1.21.0 : 2021-06-22,2023-06-22
1.22.0 : 2021-12-31,2023-12-31
1.23.0 : 2022-06-22,2024-06-21
1.24.0 : 2022-12-18,2024-12-17
1.25.0 : 2023-06-17,2025-06-16
1.26.0 : 2023-09-16,2025-09-15

section scipy
1.7.0 : 2021-06-20,2023-06-20
1.8.0 : 2022-02-05,2024-02-05
1.9.0 : 2022-07-29,2024-07-28
1.10.0 : 2023-01-03,2025-01-02
Expand All @@ -25,17 +28,20 @@ section matplotlib
3.5.0 : 2021-11-16,2023-11-16
3.6.0 : 2022-09-16,2024-09-15
3.7.0 : 2023-02-13,2025-02-12
3.8.0 : 2023-09-15,2025-09-14

section pandas
1.3.0 : 2021-07-02,2023-07-02
1.4.0 : 2022-01-22,2024-01-22
1.5.0 : 2022-09-19,2024-09-18
2.0.0 : 2023-04-03,2025-04-02
2.1.0 : 2023-08-30,2025-08-29

section scikit-image
0.19.0 : 2021-12-03,2023-12-03
0.20.0 : 2023-02-28,2025-02-27
0.21.0 : 2023-06-02,2025-06-01
0.22.0 : 2023-10-03,2025-10-02

section networkx
2.6 : 2021-07-08,2023-07-08
Expand All @@ -48,8 +54,10 @@ section scikit-learn
1.0 : 2021-09-24,2023-09-24
1.1.0 : 2022-05-12,2024-05-11
1.2.0 : 2022-12-08,2024-12-07
1.3.0 : 2023-06-30,2025-06-29

section xarray
0.18.0 : 2021-05-06,2023-05-06
0.19.0 : 2021-07-23,2023-07-23
0.20.0 : 2021-11-02,2023-11-02
0.21.0 : 2022-01-28,2024-01-28
Expand All @@ -65,8 +73,14 @@ section xarray
2023.4.0 : 2023-04-14,2025-04-13
2023.5.0 : 2023-05-19,2025-05-18
2023.6.0 : 2023-06-23,2025-06-22
2023.7.0 : 2023-07-17,2025-07-16
2023.8.0 : 2023-08-20,2025-08-19
2023.9.0 : 2023-09-26,2025-09-25

section ipython
7.23.0 : 2021-04-30,2023-04-30
7.24.0 : 2021-05-28,2023-05-28
7.25.0 : 2021-06-25,2023-06-25
7.26.0 : 2021-08-01,2023-08-01
7.27.0 : 2021-08-27,2023-08-27
7.28.0 : 2021-09-25,2023-09-25
Expand All @@ -91,3 +105,5 @@ section ipython
8.12.0 : 2023-03-30,2025-03-29
8.13.0 : 2023-04-28,2025-04-27
8.14.0 : 2023-06-02,2025-06-01
8.15.0 : 2023-09-01,2025-08-31
8.16.0 : 2023-09-29,2025-09-28
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