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import logging
import pathlib
import os
import re
import datetime
from typing import Tuple
from openpyxl import Workbook
from openpyxl.cell.cell import Cell
from openpyxl.worksheet.worksheet import Worksheet
from openpyxl.utils import get_column_letter
from openpyxl.chart import LineChart, Reference
_LOGGER = logging.getLogger(__name__)
FOLDER_SDK = os.path.join(pathlib.Path(
__file__).parent.absolute(), "..", "..", "..", "sdk")
SHEET_PACKAGE_MATRIX = "Release Matrix"
SHEET_BREAKING_MATRIX = "Breaking Matrix"
SHEET_EVENT = "Release Log"
SHEET_PIVOT = "Pivot Table"
class ReleaseStats:
def __init__(self):
self.wb = Workbook()
self.wb.active.title = SHEET_EVENT
self.wb.create_sheet(SHEET_PACKAGE_MATRIX)
self.wb.create_sheet(SHEET_BREAKING_MATRIX)
self.date_num = 0
self.provider_num = 0
self.release_num = 0
self.wb.active.append(
['Release Date', 'Package Name', 'Has Breaking(s)', ])
self.sum_sheets = []
def save(self, xls_file):
logging.info("Saving result to " + xls_file)
self.wb.save(xls_file)
def add_provider(self, package_name, changelog_filename, start_date):
logging.info("Found provider {}".format(package_name))
self.provider_num += 1
self._set_cell(1, self.provider_num+1,
package_name) # set column title
with open(changelog_filename) as f:
in_stable_version = False
rls_date, rls_version = None, None
for line in f.readlines():
version, date = ReleaseStats.parse_release_event(line)
if version:
rls_date, rls_version = date, version
if re.match(r"^\d+\.\d+\.\d+$", version):
in_stable_version = True
else:
in_stable_version = False
if rls_date >= start_date and in_stable_version:
self._add_package_release(
self.provider_num+1, version, rls_date, package_name)
if rls_date and rls_date >= start_date and ReleaseStats.parse_breaking_head(line):
if in_stable_version:
self._add_breaking_release(
self.provider_num+1, rls_version, rls_date, package_name)
else:
logging.info("skip breaking for {}".format(rls_version))
def gen_pivot_table(self):
logging.info("Generating pivot table")
ws_all: Worksheet = self.wb[SHEET_PACKAGE_MATRIX]
ws_breaking: Worksheet = self.wb[SHEET_BREAKING_MATRIX]
ws_pivot: Worksheet = self.wb.copy_worksheet(ws_all)
ws_pivot.title = SHEET_PIVOT
ws_pivot.cell(1, 1, value="Date")
# copy breaking values
col = 2
while ws_breaking.cell(1, col).value:
inserted_col = (col-1)*2+1
ws_pivot.insert_cols(inserted_col)
for idx, cell in enumerate(ws_breaking["{col_letter}:{col_letter}".format(
col_letter=get_column_letter(col))]):
if idx > 0:
ws_pivot.cell(ReleaseStats._find_row_by_date(ws_pivot, ws_breaking.cell(
cell.row, 1).value), inserted_col, value=cell.value)
else:
ws_pivot.cell(cell.row, inserted_col,
value="breaking "+cell.value)
col += 1
# remove columns who aren't included in the summary sheets
sum_rps = set()
for sum_sheet in self.sum_sheets:
ws = self.wb[sum_sheet]
col = 2
while ws.cell(1, col).value:
sum_rps.add(ws.cell(1, col).value)
col += 1
col = 2
while ws_pivot.cell(1, col).value:
if ws_pivot.cell(1, col).value in sum_rps:
col += 2
else:
ws_pivot.delete_cols(col, 2)
@staticmethod
def _find_row_by_date(ws: Worksheet, d: datetime.date):
row = 2
while ws.cell(row, 1).value not in [d, None]:
row += 1
return row if ws.cell(row, 1).value == d else None
def gen_latest_sum(self, days, matrix_sheet_name, threshold):
logging.info("Generating accumulate sum in {} days with threshold {}".format(
days, threshold))
ws_matrix = self.wb[matrix_sheet_name]
ws = self.wb.copy_worksheet(ws_matrix)
ws.title = "{}day>={} {}".format(days, threshold, matrix_sheet_name)
self.sum_sheets.append(ws.title)
# add current date in the last row
last_row, last_date = ReleaseStats._get_last_cell(ws)
current_date = datetime.datetime.now().date()
if last_date != current_date:
last_row += 1
ws.cell(last_row, 1, value=current_date)
# accumulate on latest days
col = 2
while ws.cell(1, col).value:
s = 0
from_row, to_row = 2, 2
while ws.cell(to_row, 1).value:
cur_date: datetime.date = ws.cell(to_row, 1).value
cur_value = ws.cell(to_row, col).value
if cur_value:
s += cur_value
while (cur_date - ws.cell(from_row, 1).value).days > days:
from_value = ws_matrix.cell(from_row, col).value
if from_value:
s -= from_value
from_row += 1
ws.cell(to_row, col, value=s)
to_row += 1
col += 1
# remove columns which don't meet threshold at the last row.
col = 2
while ws.cell(1, col).value:
if ws.cell(last_row, col).value < threshold:
ws.delete_cols(col)
else:
col += 1
col = col - 1
# create chart
if col > 1:
values = Reference(ws, min_col=2, min_row=1,
max_col=col, max_row=last_row)
chart = LineChart()
chart.add_data(values, from_rows=False, titles_from_data=True)
labels = Reference(ws, min_col=1, min_row=2, max_row=last_row)
chart.set_categories(labels)
ws.add_chart(chart)
@staticmethod
def _get_last_cell(ws: Worksheet, row=-1, col=1) -> Tuple[int, datetime.date]:
row_count = 1
while ws.cell(row_count+1, col).value:
row_count += 1
row = max(row_count+row+1, 1)
return row, ws.cell(row, col)
def _add_package_release(self, col, version, rls_date, package_name):
logging.debug("Release found: {} {} {}".format(
package_name, version, rls_date))
ws = self.wb[SHEET_PACKAGE_MATRIX]
row = self.find_or_create_row(rls_date, ws)
ws.cell(row=row, column=col, value=1)
ws = self.wb[SHEET_BREAKING_MATRIX]
row = self.find_or_create_row(rls_date, ws)
ws.cell(row=row, column=col, value=0)
ws = self.wb[SHEET_EVENT]
self.release_num += 1
ws.append([rls_date, package_name])
def _add_breaking_release(self, col, version, rls_date, package_name):
logging.debug("Breaking found: {} {} {}".format(
package_name, version, rls_date))
ws = self.wb[SHEET_BREAKING_MATRIX]
row = self.find_or_create_row(rls_date, ws)
ws.cell(row=row, column=col, value=1)
ws = self.wb[SHEET_EVENT]
row = self.find_row(ws, rls_date, package_name)
if row:
ws.cell(row, 3, 1)
@staticmethod
def parse_release_event(line):
m = re.match(
r"^## (\S+) \((\d{4,4})\-(\d{2,2})\-(\d{2,2})\)$", line.strip())
if not m:
return None, None
version, year, month, day = m.groups()
return version, datetime.date(int(year), int(month), int(day))
@staticmethod
def parse_breaking_head(line):
m = re.match(r"^\*\*.*breaking changes\*\*$",
line.strip(), flags=re.IGNORECASE)
return m is not None
def find_or_create_row(self, rls_date: datetime.date, ws: Worksheet):
row = 1
while True:
row += 1
date = ws.cell(row, 1).value
if date == rls_date:
return row
if not date or date > rls_date:
ws.insert_rows(row)
ws.cell(row, 1, rls_date)
return row
def find_row(self, ws: Worksheet, *values):
row = 1
while True:
row += 1
match = True
all_none = True
for idx, value in enumerate(values):
v = ws.cell(row, idx+1).value
if v:
all_none = False
if v != value:
match = False
break
if match:
return row
if all_none:
return None
def _set_cell(self, row, col, value, sheet_names=[SHEET_PACKAGE_MATRIX, SHEET_BREAKING_MATRIX]):
for sheet_name in sheet_names:
sheet = self.wb[sheet_name]
sheet.cell(row=row, column=col, value=value)
@staticmethod
def _get_column_count(ws: Worksheet):
col = 1
while ws.cell(1, col+1).value:
col += 1
return col
def sum_matrix_sheets(self):
logging.info("Adding Sum and Total to Matix")
for sheet_name in [SHEET_PACKAGE_MATRIX, SHEET_BREAKING_MATRIX]:
ws = self.wb[sheet_name]
last_row, last_date = ReleaseStats._get_last_cell(ws)
last_col = ReleaseStats._get_column_count(ws)
last_row, last_col = last_row + 1, last_col + 1
ws.cell(1, last_col, value='Sum')
for r in range(2, last_row):
ws.cell(r, last_col, value='=sum(B{row}:{col}{row})'.format(
row=r, col=get_column_letter(last_col-1)))
ws.cell(last_row, 1, value='Total')
for c in range(2, last_col+1):
ws.cell(last_row, c, value='=sum({col}2:{col}{row})'.format(
row=last_row-1, col=get_column_letter(c)))
def build_release_stats(xls_file, threshold, start_date):
stats = ReleaseStats()
for root, dirs, files in os.walk(FOLDER_SDK):
for file in files:
if file == "CHANGELOG.md":
package_name = root.split(os.sep)[-1]
if not package_name.startswith("azure-mgmt-"):
continue
stats.add_provider(
package_name, os.path.join(root, file), start_date)
stats.gen_latest_sum(90, SHEET_BREAKING_MATRIX, threshold-1)
stats.gen_latest_sum(180, SHEET_BREAKING_MATRIX, threshold)
stats.gen_latest_sum(90, SHEET_PACKAGE_MATRIX, threshold-1)
stats.gen_pivot_table()
stats.sum_matrix_sheets()
stats.save(xls_file)
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(
description='Release history statistics',
)
parser.add_argument("--debug",
help="Verbosity in DEBUG mode")
parser.add_argument("--xlsx", default="release-stats.xlsx",
help="Output xlsx filename")
parser.add_argument('--threshold', default=3, type=int,
help="Only stats RPs has breakings above this number recently")
parser.add_argument('--start-date', default=datetime.date(2010, 1, 1), type=lambda d: datetime.datetime.strptime(d, '%Y%m%d').date(),
help="Start from date in format yyyymmdd")
args = parser.parse_args()
logging.basicConfig(level=logging.DEBUG if args.debug else logging.INFO)
build_release_stats(args.xlsx, args.threshold, args.start_date)
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