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@ -1,12 +1,17 @@ |
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import os |
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import datetime |
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import configparser |
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import math |
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from decimal import Decimal, ROUND_HALF_UP |
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from clickhouse_driver import Client |
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from docx import Document |
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from docx.shared import Inches, Pt, RGBColor |
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from docx.shared import Inches, Cm, Pt, RGBColor |
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from docx.enum.text import WD_PARAGRAPH_ALIGNMENT, WD_LINE_SPACING |
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from docx.oxml.ns import qn |
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from docx.enum.table import WD_TABLE_ALIGNMENT, WD_CELL_VERTICAL_ALIGNMENT |
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from docx.oxml.ns import qn, nsdecls |
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from docx.oxml import parse_xml |
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import matplotlib.pyplot as plt |
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import matplotlib.ticker as ticker |
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import numpy as np |
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from app import db_helper, image_helper |
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import qiniu |
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@ -16,6 +21,46 @@ REPORT_DIR = 'output' |
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LOG_DIR = 'log' |
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# 小于十万的整数转换 |
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def number_to_chinese(number): |
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chinese_digits = ['零', '一', '二', '三', '四', '五', '六', '七', '八', '九'] |
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chinese_units = ['', '十', '百', '千', '万'] |
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if number == 0: |
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return chinese_digits[0] |
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result = '' |
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unit_index = 0 |
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last_digit_is_zero = False # 记录上一位数字是否为零 |
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while number > 0: |
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digit = number % 10 |
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if digit != 0: |
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if last_digit_is_zero: |
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result = chinese_digits[0] + result # 添加零 |
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result = chinese_digits[digit] + chinese_units[unit_index] + result |
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last_digit_is_zero = False |
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else: |
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# 如果当前位是零,并且结果不为空,则记录上一位为零 |
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if result != '': |
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last_digit_is_zero = True |
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unit_index += 1 |
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number //= 10 |
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# 如果结果以'一十'开头,则去掉'一',只保留'十' |
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if result[:2] == chinese_digits[1] + chinese_units[1]: |
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result = result[1:] |
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return result |
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def round_to_integer(v): |
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if math.isnan(v): |
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return v |
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integer_in_decimal = Decimal(v).quantize(Decimal('0'), rounding=ROUND_HALF_UP) # 取整,如:2.5 -> 3 (not 2), 3.5 -> 4 |
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return int(integer_in_decimal) |
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def get_report_year_month(): |
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# 获取上月的最后一天 |
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last_day = datetime.datetime.now().replace(day=1) - datetime.timedelta(days=1) |
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@ -36,9 +81,9 @@ def get_report_start_end(): |
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def set_paragraph_space(p): |
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# 设置间距 |
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p.paragraph_format.space_before = 0 # 段前 |
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p.paragraph_format.space_after = 0 # 段后 |
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p.paragraph_format.line_spacing = Pt(20) # 设置段落行距为20磅 |
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p.paragraph_format.space_before = Pt(6) # 段前 |
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p.paragraph_format.space_after = Pt(6) # 段后 |
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p.paragraph_format.line_spacing = 1.5 # 设置段落行距:1.5倍行距 |
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def set_paragraph_format(p): |
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@ -47,23 +92,23 @@ def set_paragraph_format(p): |
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p.paragraph_format.first_line_indent = Inches(0.3) |
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def set_heading_format(h, r): |
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def set_heading_format(h, r, head_level=1): |
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set_paragraph_space(h) |
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r.font.name = 'Times New Roman' |
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r._element.rPr.rFonts.set(qn('w:eastAsia'), u'宋体') |
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r.font.size = Pt(10.5) # 五号 |
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r.font.size = Pt(16) if head_level == 1 else Pt(15) # 三号 -> Pt(16), 小三 -> Pt(15) |
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r.font.color.rgb = RGBColor(0, 0, 0) |
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r.bold = True |
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def set_title_format(h, r): |
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h.paragraph_format.space_before = Pt(12) # 段前1行 |
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h.paragraph_format.space_after = Pt(12) # 段后1行 |
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h.paragraph_format.line_spacing = Pt(20) # 设置段落行距为20磅 |
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h.paragraph_format.space_before = Pt(6) # 段前0.5行 |
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h.paragraph_format.space_after = Pt(6) # 段后0.5行 |
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h.paragraph_format.line_spacing = 1.5 # 1.5倍行距 |
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h.alignment = WD_PARAGRAPH_ALIGNMENT.CENTER |
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r.font.name = u'Times New Roman' |
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r._element.rPr.rFonts.set(qn('w:eastAsia'), u'宋体') |
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r.font.size = Pt(10.5) # 五号 |
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r.font.size = Pt(18) # 小二 |
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r.font.color.rgb = RGBColor(0, 0, 0) |
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r.bold = True |
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@ -72,206 +117,287 @@ def set_global_normal_style(doc): |
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style = doc.styles['Normal'] |
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style.font.name = 'Times New Roman' # 英文、数字字体 |
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style._element.rPr.rFonts.set(qn('w:eastAsia'), u'宋体') # 中文字体 |
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style.font.size = Pt(10.5) # 五号 |
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style.paragraph_format.space_before = 0 # 段前 |
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style.paragraph_format.space_after = 0 # 段后 |
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style.paragraph_format.line_spacing_rule = WD_LINE_SPACING.SINGLE # 单倍行距 |
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style.font.size = Pt(14) # 四号 |
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style.paragraph_format.space_before = Pt(6) # 段前0.5行 |
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style.paragraph_format.space_after = Pt(6) # 段后0.5行 |
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style.paragraph_format.line_spacing_rule = WD_LINE_SPACING.ONE_POINT_FIVE # 1.5倍行距 |
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def create_bar_chart(doc, x, y, mean, title, filename): |
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plt.rcParams["font.sans-serif"] = ["SimHei"] # 设置字体 |
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plt.rcParams["axes.unicode_minus"] = False # 正常显示负号 |
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# 设置单元格底纹 |
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def set_table_cell_shading_color(table_cell, color): |
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shading_elm = parse_xml(r'<w:shd {} w:fill="{bgColor}"/>'.format(nsdecls('w'), bgColor=color)) |
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table_cell._tc.get_or_add_tcPr().append(shading_elm) |
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if title == '部门流程处理平均耗时': |
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plt.figure(figsize=(12, 6), layout='tight') |
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plt.margins(x=0.01) |
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else: |
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plt.figure(figsize=(6.4, 3.4), layout='tight') |
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# 绘制柱状图 |
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plt.bar(x, y, color=(31 / 255, 168 / 255, 201 / 255)) |
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# 绘制均值线 |
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plt.axhline(mean, linestyle='dashed', color='#FF8C00') |
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# 添加标题 |
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plt.title(title) |
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# 设置x轴标签旋转角度 |
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plt.xticks(rotation=-30, ha='left') |
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# 添加图例 |
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plt.legend(['均值:{}'.format(mean)], loc='upper right') |
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# 保存图形 |
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plt.savefig('{}/{}'.format(REPORT_DIR, filename)) |
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plt.close() |
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# 插入图形到 Word 文档中 |
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p = doc.add_paragraph() |
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p.alignment = WD_PARAGRAPH_ALIGNMENT.CENTER |
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r = p.add_run() |
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r.add_picture('{}/{}'.format(REPORT_DIR, filename), width=Inches(6)) |
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# 设置表格行底纹 |
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def set_table_row_shading_color(table_row, color): |
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shading_dict = {} |
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for i, cell in enumerate(table_row.cells): |
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shading_dict['shading_elm_' + str(i)] = parse_xml(r'<w:shd {} w:fill="{bgColor}"/>'.format(nsdecls('w'), bgColor=color)) |
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cell._tc.get_or_add_tcPr().append(shading_dict['shading_elm_' + str(i)]) |
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def add_heading(doc, head_level, head_content): |
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h = doc.add_heading(level=head_level) |
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r = h.add_run(head_content) |
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set_heading_format(h, r, head_level) |
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def create_bar_twinx_chart(doc, x, y1, y2, mean, title, filename): |
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def create_twinx_chart(department, title, filename): |
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plt.rcParams["font.sans-serif"] = ["SimHei"] # 设置字体 |
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plt.rcParams["axes.unicode_minus"] = False # 正常显示负号 |
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x = [] |
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y1 = [] |
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y2 = [] |
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for user in department['d_users']: |
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x.append(user[0]) # 用户名 |
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y1.append(user[2]) # 用户处理流程耗时 |
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y2.append(user[1]) # 用户处理流程条数 |
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x_range = np.arange(len(x)) |
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width = 0.25 # the width of the bars |
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bgcolor = '#d9d9d9' |
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fig, ax1 = plt.subplots() |
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ax1.set_ylabel('耗时') |
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rects = ax1.bar(x_range, y1, width, color=(31 / 255, 168 / 255, 201 / 255), label='耗时') |
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ax1.bar_label(rects, padding=3) |
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ax1.set_xticks(x_range + width / 2, x) |
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fig, ax1 = plt.subplots(figsize=(8, 5), layout='constrained', facecolor=bgcolor) |
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ax1.set_ylabel('平均处理流程时间(小时)') |
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y1_bar = ax1.bar(x_range, y1, width=0.25, label='流程处理时间', color=(91 / 255, 155 / 255, 213 / 255)) |
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ax1.set_xticks(x_range, x) |
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# 设置x轴标签旋转角度 |
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plt.xticks(rotation=-30, ha='left') |
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# 绘制均值线 |
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plt.axhline(mean, linestyle='dashed', color='#FF8C00', label=f'均值:{mean}') |
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ax2 = ax1.twinx() # instantiate a second axes that shares the same x-axis |
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ax2.set_ylabel('流程数') |
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rects = ax2.bar(x_range + width, y2, width, color='#5AC189', label='流程数') |
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ax2.bar_label(rects, padding=3) |
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y2_line, = ax2.plot(x_range, y2, label='处理流程条数', color='#ff0000', marker='o', linestyle='dashed', linewidth=2) |
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ax2.set_ylabel('处理流程条数(条)') |
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ax2.set_ylim(0, max(y2) + 1) |
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ax2.yaxis.set_major_locator(ticker.MaxNLocator(integer=True)) # 设置整数刻度 |
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annotate_kwargs = {'color': '#ffffff', 'arrowprops': dict(color='#a5a5a5', arrowstyle='-')} |
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# y2_line:添加数据标签 |
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# UserWarning: constrained_layout not applied because axes sizes collapsed to zero. |
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for x, y in zip(x_range, y2): |
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xtext_offset = 0.01 if len(x_range) == 1 else 0.1 |
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ax2.annotate(f"{y}", xy=(x, y), xytext=(x + xtext_offset, y + 0.1), backgroundcolor='#000000', **annotate_kwargs) |
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# 绘制均值线:相对于左侧坐标轴"平均处理流程时间(小时)"绘制 |
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hline_kwargs = {'linestyle': 'solid', 'linewidth': 2} |
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axhline1 = ax1.axhline(department['d_elapse'], label='部门平均时间', color='#ed7d31', **hline_kwargs) |
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axhline2 = ax1.axhline(procinst_duration_by_company, label='公司平均时间', color='#a5a5a5', **hline_kwargs) |
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# 获取 y1 轴两个刻度之间的距离 |
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y1_ticks = ax1.get_yticks() |
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y1_ticks_distance = y1_ticks[1] - y1_ticks[0] if len(y1_ticks) > 1 else y1_ticks[0] |
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# y1_bar:添加数据标签 |
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bar_label_kwargs = {'color': '#ffffff', 'backgroundcolor': '#8ba7de'} |
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y1_threshold = y1_ticks_distance / 2 |
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y1_bar_large = [v if v > y1_threshold else '' for v in y1] |
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y1_bar_small = [v if v <= y1_threshold else '' for v in y1] |
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ax1.bar_label(y1_bar, y1_bar_large, padding=-20, **bar_label_kwargs) |
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ax1.bar_label(y1_bar, y1_bar_small, padding=3, **bar_label_kwargs) |
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# 均值线:添加数据标签 |
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x_pos = 0 if len(x_range) == 1 else 1 |
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xtext_benchmark = 0 if len(x_range) == 1 else 1 |
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xtext_offset = 0.03 if len(x_range) == 1 else 0.3 |
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ytext_offset = y1_ticks_distance / 3 |
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ax1.annotate(f"{department['d_elapse']}", xy=(x_pos, department['d_elapse']), |
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xytext=(xtext_benchmark - xtext_offset, department['d_elapse'] + ytext_offset), |
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backgroundcolor='#f5b482', **annotate_kwargs) |
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ax1.annotate(f"{procinst_duration_by_company}", xy=(x_pos, procinst_duration_by_company), |
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xytext=(xtext_benchmark + xtext_offset, procinst_duration_by_company + ytext_offset), |
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backgroundcolor='#ef95a0', **annotate_kwargs) |
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plt.title(title, fontsize=14, pad=30) # pad: 标题与坐标轴顶部的偏移量 |
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fig.legend(handles=[y1_bar, axhline1, axhline2, y2_line], loc='outside lower center', ncols=4, facecolor=bgcolor, edgecolor=bgcolor) |
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ax1.set_xlabel(department['d_name'], fontsize=12, labelpad=8) # 在图形下方显示部门名称 |
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ax1.set_facecolor(bgcolor) # 设置绘图区域的背景色 |
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# 去掉绘图区域的边框线和坐标轴刻度线 |
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axes = [ax1, ax2] |
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for ax in axes: |
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ax.spines['top'].set_visible(False) |
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ax.spines['bottom'].set_visible(False) |
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ax.spines['left'].set_visible(False) |
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ax.spines['right'].set_visible(False) |
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ax.tick_params(axis='both', which='both', length=0) |
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# 设置绘图区与图片边缘的距离 |
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# plt.subplots_adjust(left=0.08, right=0.94, top=0.9, bottom=0.24) |
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plt.title(title) |
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fig.legend(loc='upper right', ncols=1, bbox_to_anchor=(1, 1), bbox_transform=ax1.transAxes) |
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fig.tight_layout() # otherwise the right y-label is slightly clipped |
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# 保存图形 |
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plt.savefig('{}/{}'.format(REPORT_DIR, filename)) |
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plt.close() |
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# 插入图形到 Word 文档中 |
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p = doc.add_paragraph() |
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p.alignment = WD_PARAGRAPH_ALIGNMENT.CENTER |
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r = p.add_run() |
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r.add_picture('{}/{}'.format(REPORT_DIR, filename), width=Inches(6)) |
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def add_section(doc, rank, department, d_elapse): |
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h = doc.add_heading(level=2) |
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r = h.add_run('{}. {}'.format(rank, department)) |
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set_heading_format(h, r) |
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try: |
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qs = db_helper.querystring_user_gt_senior_avg( |
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start_time, end_time, d_elapse |
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) if department == '高管' else db_helper.querystring_user_gt_department_avg( |
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start_time, end_time, department, d_elapse) |
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user_gt_department_avg = client.execute(qs) |
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qs = db_helper.querystring_procinst_duration_by_user_senior( |
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start_time, end_time |
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) if department == '高管' else db_helper.querystring_procinst_duration_by_user( |
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start_time, end_time, department) |
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procinst_duration_by_user = client.execute(qs) |
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qs = db_helper.querystring_procinst_count_by_senior( |
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start_time, end_time |
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) if department == '高管' else db_helper.querystring_procinst_count_by_user( |
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start_time, end_time, department) |
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procinst_count_by_user = client.execute(qs) |
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except Exception as error: |
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print('数据库查询错误:', error) |
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logging.error('数据库查询错误:{}'.format(error)) |
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raise RuntimeError('数据库查询错误:', error) |
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def add_section(doc, department_data): |
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d_name = department_data['d_name'] |
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d_elapse = department_data['d_elapse'] |
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d_elapse_rank = department_data['d_elapse_rank'] |
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d_count = department_data['d_count'] |
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d_count_rank = department_data['d_count_rank'] |
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d_users = department_data['d_users'] |
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users = [] |
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for user, _ in user_gt_department_avg: |
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users.append(user) |
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d_users_gt_company_avg_duration = [u[0] for u in d_users if u[2] > procinst_duration_by_company] |
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p = doc.add_paragraph() |
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p.add_run('{}{}月份个人处理流程平均耗时时长在公司排名为'.format(department, last_month)) |
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p.add_run('{}'.format(rank)).underline = True |
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if len(procinst_duration_by_user) == 1: |
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p.add_run(',{}公司平均水平。'.format( |
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'高于' if d_elapse > procinst_duration_by_company else |
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'低于' if d_elapse < procinst_duration_by_company else '等于')) |
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else: |
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p.add_run(',其中耗时较长的有') |
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p.add_run('{}'.format('、'.join(users))).underline = True |
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p.add_run(',{}({}小时/流程)。' |
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.format('高于公司平均水平和部门平均水平' if d_elapse >= procinst_duration_by_company else '低于公司平均水平但高于部门平均水平', |
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d_elapse)) |
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set_paragraph_format(p) |
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add_heading(doc, 2, '({}){}'.format(number_to_chinese(d_elapse_rank), d_name)) |
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x = [] |
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y1 = [] |
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y2 = [] |
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p = doc.add_paragraph(f'部门人均处理流程平均耗时时长排名:{d_elapse_rank};', style='List Bullet') |
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set_paragraph_space(p) |
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for user, elapse in procinst_duration_by_user: |
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x.append(user) |
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y1.append(elapse) |
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operator = '>' if d_elapse > procinst_duration_by_company else '<' if d_elapse < procinst_duration_by_company else '==' |
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p = doc.add_paragraph(f'部门处理流程平均耗时时长:{d_elapse}小时{operator}公司平均{procinst_duration_by_company}小时;', style='List Bullet') |
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set_paragraph_space(p) |
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for name in x: |
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for user, count in procinst_count_by_user: |
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if user == name: |
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y2.append(count) |
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break |
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users_count = len(d_users_gt_company_avg_duration) |
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p = doc.add_paragraph(style='List Bullet') |
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p.add_run(f'部门处理流程平均耗时大于公司平均水平的有{users_count}人') |
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p.add_run(f":{'、'.join(d_users_gt_company_avg_duration)};" if users_count > 0 else ";") |
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set_paragraph_space(p) |
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create_bar_twinx_chart(doc, x, y1, y2, d_elapse, "个人流程处理平均耗时", "{}-流程处理平均耗时.png".format(department)) |
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caption = doc.add_paragraph('图 2-{} {}个人处理流程平均耗时'.format(rank, department)) |
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caption.alignment = WD_PARAGRAPH_ALIGNMENT.CENTER |
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p = doc.add_paragraph(f'人均处理流程条数排名:{d_count_rank};', style='List Bullet') |
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set_paragraph_space(p) |
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operator = '>' if d_count > procinst_count_by_company else '<' if d_count < procinst_count_by_company else '==' |
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p = doc.add_paragraph(f'人均处理流程条数:{d_count}条{operator}公司平均{procinst_count_by_company}条;', style='List Bullet') |
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set_paragraph_space(p) |
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def add_chapter_2(doc): |
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h = doc.add_heading(level=1) |
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r = h.add_run('二、各部门成员详情') |
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set_heading_format(h, r) |
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pic_name = f"{d_name}-平均处理流程时间及流程处理条数.png" |
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create_twinx_chart(department_data, "部门成员平均处理流程时间及流程处理条数", pic_name) |
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departments_excluded = ['汇派-质量部', '汇派-生产部', '汇派-计划部', '汇派-人事部', '汇派-采购部', '党建工会', '工程项目中心', '北京技术中心'] |
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# 插入图形到 Word 文档中 |
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p = doc.add_paragraph() |
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p.alignment = WD_PARAGRAPH_ALIGNMENT.CENTER |
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r = p.add_run() |
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r.add_picture('{}/{}'.format(REPORT_DIR, pic_name), width=Inches(6)) |
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d = [] |
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for department, elapse in procinst_duration_by_department: |
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if department not in departments_excluded: |
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d.append((department, elapse)) |
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for index, (department, elapse) in enumerate(d): |
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add_section(doc, index + 1, department, elapse) |
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def add_chapter_2(doc): |
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add_heading(doc, 1, '二、各部门成员详情') |
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# 部门流程处理条数排行 |
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department_rank_by_count = [item[0] for item in procinst_by_department] # procinst_by_department 默认按照流程条数倒序排列 |
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# 部门流程处理耗时排行 |
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department_sorted_by_elapse = sorted(procinst_by_department, key=lambda d: d[2], reverse=True) |
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department_rank_by_elapse = [item[0] for item in department_sorted_by_elapse] |
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for item in department_sorted_by_elapse: |
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department = item[0] |
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d_count = item[1] |
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d_elapse = item[2] |
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d_count_rank = department_rank_by_count.index(department) + 1 |
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d_elapse_rank = department_rank_by_elapse.index(department) + 1 |
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add_section(doc, {'d_name': department, |
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'd_elapse': d_elapse, |
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'd_elapse_rank': d_elapse_rank, |
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'd_count': d_count, |
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'd_count_rank': d_count_rank, |
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'd_users': item[3]}) |
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def insert_table(doc, table_headers, col_width_dict, table_data, table_style): |
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# 在文档中添加一个空表格 |
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table = doc.add_table(rows=0, cols=len(table_headers), style='Table Grid') |
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# 添加表头 |
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heading_cells = table.add_row().cells |
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for i, header in enumerate(table_headers): |
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|
heading_cells[i].text = header |
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|
heading_cells[i].paragraphs[0].runs[0].bold = True # 字体加粗 |
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|
# 循环添加数据 |
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|
avg_row_added = False |
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|
for i, row_data in enumerate(table_data): |
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if table_style in ['style2', 'style3']: |
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|
avg_value = {'style2': procinst_duration_by_company, 'style3': procinst_count_by_company} |
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if not avg_row_added and row_data[1] < avg_value[table_style]: |
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|
# 添加“平均”值行 |
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row = table.add_row() |
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|
row_cells = row.cells |
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row_cells[0].merge(row_cells[1]).text = '平均' # 合并单元格 |
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|
row_cells[2].text = str(avg_value[table_style]) |
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|
set_table_row_shading_color(row, 'ff0000') |
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|
row_cells[0].paragraphs[0].runs[0].bold = True # 字体加粗 |
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|
row_cells[2].paragraphs[0].runs[0].bold = True |
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|
avg_row_added = True |
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row = table.add_row() |
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|
row_cells = row.cells |
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row_cells[0].text = str(i + 1) |
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|
for j, cell_value in enumerate(row_data): |
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|
col_index = j + 1 |
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|
row_cells[col_index].text = str(cell_value) |
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|
if table_style == 'style1': |
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if row_data[1] >= procinst_count_by_company: |
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|
set_table_cell_shading_color(row_cells[2], '#fedb61') |
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|
if row_data[2] >= procinst_duration_by_company: |
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|
set_table_cell_shading_color(row_cells[3], '#ff0000') |
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|
elif table_style == 'style2' and row_data[1] >= procinst_duration_by_company: |
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|
set_table_row_shading_color(row, 'fedb61') |
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|
if table_style == 'style1': |
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|
# 统计值:平均值 |
|
|
|
row_cells = table.add_row().cells |
|
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|
avg_data = [len(table_data) + 1, '公司平均', procinst_count_by_company, procinst_duration_by_company] |
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|
for i, cell_value in enumerate(avg_data): |
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|
row_cells[i].text = str(cell_value) |
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|
row_cells[i].paragraphs[0].runs[0].bold = True # 字体加粗 |
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|
|
# 设置表格垂直对齐方式 |
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|
|
table.alignment = WD_TABLE_ALIGNMENT.CENTER |
|
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|
|
# 设置单元格样式 |
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|
|
for row in table.rows: |
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|
for cell in row.cells: |
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|
cell.vertical_alignment = WD_CELL_VERTICAL_ALIGNMENT.CENTER # 垂直居中 |
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|
|
cell.paragraphs[0].alignment = WD_PARAGRAPH_ALIGNMENT.CENTER # 水平居中 |
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|
|
for col_index, col_width in col_width_dict.items(): # 设置列宽 |
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|
|
row.cells[col_index].width = Cm(col_width) |
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|
|
row.height = Cm(0.7) # 设置行高 |
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|
|
def add_chapter_1(doc): |
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|
|
h = doc.add_heading(level=1) |
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|
|
r = h.add_run('一、公司各部门横向比较情况') |
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|
|
set_heading_format(h, r) |
|
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|
try: |
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|
|
qs = db_helper.querystring_user_count(start_time, end_time) |
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|
|
user_count = client.execute(qs)[0][0] |
|
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|
|
qs = db_helper.querystring_department_count_gt_avg(start_time, end_time, procinst_duration_by_company) |
|
|
|
department_count_gt_avg = client.execute(qs)[0][0] |
|
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|
|
qs = db_helper.querystring_user_count_gt_avg(start_time, end_time, procinst_duration_by_company) |
|
|
|
user_count_gt_avg = client.execute(qs)[0][0] |
|
|
|
except Exception as error: |
|
|
|
print('数据库查询错误:', error) |
|
|
|
logging.error('数据库查询错误:{}'.format(error)) |
|
|
|
raise RuntimeError('数据库查询错误:', error) |
|
|
|
|
|
|
|
if procinst_duration_by_senior is not None and procinst_duration_by_senior > procinst_duration_by_company: |
|
|
|
department_count_gt_avg += 1 |
|
|
|
department_count_gt_avg_count = len(list(filter(lambda d: d[1] > procinst_count_by_company, procinst_by_department))) |
|
|
|
department_count_gt_avg_duration = len(list(filter(lambda d: d[2] > procinst_duration_by_company, procinst_by_department))) |
|
|
|
user_count_gt_avg_count = len(list(filter(lambda d: d[1] > procinst_count_by_company, procinst_by_user))) |
|
|
|
user_count_gt_avg_duration = len(list(filter(lambda d: d[2] > procinst_duration_by_company, procinst_by_user))) |
|
|
|
|
|
|
|
add_heading(doc, 1, '一、公司各部门横向比较情况') |
|
|
|
add_heading(doc, 2, '(一)一览表') |
|
|
|
p = doc.add_paragraph() |
|
|
|
p.add_run('{}年{}月,公司共计'.format(last_year, last_month)) |
|
|
|
p.add_run('{}'.format(user_count)).underline = True |
|
|
|
p.add_run('人使用项企平台,个人处理流程平均耗时') |
|
|
|
p.add_run('{}'.format(procinst_duration_by_company)).underline = True |
|
|
|
p.add_run('小时/流程,其中,平均单一流程处理耗时高于公司平均数的有') |
|
|
|
p.add_run('{}'.format(department_count_gt_avg)).underline = True |
|
|
|
p.add_run('个部门,') |
|
|
|
p.add_run('{}'.format(user_count_gt_avg)).underline = True |
|
|
|
p.add_run('人。') |
|
|
|
p.add_run('{}年{}月,公司共计{}人使用项企平台,'.format(last_year, last_month, user_count)) |
|
|
|
p.add_run('个人处理流程平均耗时{}小时/流程,平均单一流程处理耗时高于公司平均数的有{}个部门,{}人。'.format( |
|
|
|
procinst_duration_by_company, department_count_gt_avg_duration, user_count_gt_avg_duration)) |
|
|
|
p.add_run('个人处理流程平均条数为{}条,个人处理流程平均条数高于公司平均数的有{}个部门,{}人。'.format( |
|
|
|
procinst_count_by_company, department_count_gt_avg_count, user_count_gt_avg_count)) |
|
|
|
set_paragraph_format(p) |
|
|
|
|
|
|
|
# 准备数据 |
|
|
|
x = [] |
|
|
|
y = [] |
|
|
|
for department, elapse in procinst_duration_by_department: |
|
|
|
x.append(department) |
|
|
|
y.append(elapse) |
|
|
|
table_data = list(map(lambda d: (d[0], d[1], d[2]), procinst_by_department)) |
|
|
|
insert_table(doc, ['序号', '部门', '人均处理流程条数', '平均单条流程处理时间'], {0: 1.5, 1: 5.8, 2: 3.6, 3: 4.3}, table_data, 'style1') |
|
|
|
|
|
|
|
# 创建柱状图并保存为文件 |
|
|
|
create_bar_chart(doc, x, y, procinst_duration_by_company, "部门流程处理平均耗时", "部门流程处理平均耗时.png") |
|
|
|
caption = doc.add_paragraph('图 1 部门流程处理平均耗时') |
|
|
|
caption.alignment = WD_PARAGRAPH_ALIGNMENT.CENTER |
|
|
|
add_heading(doc, 2, '(二)部门平均单一流程处理耗时排行') |
|
|
|
table_data = list(map(lambda d: (d[0], d[2]), procinst_by_department)) |
|
|
|
table_data.sort(key=lambda d: d[1], reverse=True) |
|
|
|
insert_table(doc, ['排名', '部门', '平均单条流程处理时间'], {0: 1.5, 1: 5.8, 2: 4.3}, table_data, 'style2') |
|
|
|
|
|
|
|
add_heading(doc, 2, '(三)部门人均处理流程平均条数排行') |
|
|
|
table_data = list(map(lambda d: (d[0], d[1]), procinst_by_department)) |
|
|
|
insert_table(doc, ['排名', '部门', '人均处理流程条数'], {0: 1.5, 1: 5.8, 2: 4.3}, table_data, 'style3') |
|
|
|
|
|
|
|
|
|
|
|
def upload_to_qiniu(filename): |
|
|
@ -321,14 +447,15 @@ def generate_word_report(): |
|
|
|
|
|
|
|
# 添加标题 |
|
|
|
h = doc.add_heading(level=0) |
|
|
|
r = h.add_run('项企流程效能分析结果公示') |
|
|
|
r = h.add_run('{}月项企流程效能分析结果公示'.format(last_month)) |
|
|
|
set_title_format(h, r) |
|
|
|
|
|
|
|
# 添加段落 |
|
|
|
p_first = doc.add_paragraph( |
|
|
|
'为了提升公司整体工作效率,确保跨部门工作高效推进,充分发挥我司自研平台的优势,现基于项企系统数据,利用Superset工具打造了项企流程效能分析平台,能够对我司项企平台的数据进行分析,进而通过量化数据发现我司办公流程流转中的问题,' \ |
|
|
|
'现将{}年{}月公司员工处理流程平均响应时长(响应时长为从流程流转到当前节点到当前节点处理完成的耗时,单位:小时)情况结果进行公示如下:' |
|
|
|
.format(last_year, last_month)) |
|
|
|
'为了提升公司整体工作效率,确保跨部门工作高效推进,充分发挥我司自研平台的优势,现基于项企系统数据对我司项企平台的使用数据进行分析,' |
|
|
|
'进而通过量化数据发现我司办公流程流转中的问题,' |
|
|
|
'现将{}年{}月公司员工处理流程平均响应时长(响应时长为从流程流转到当前节点到当前节点处理完成的耗时,单位:小时)' |
|
|
|
'以及处理流程条数情况结果进行公示如下:'.format(last_year, last_month)) |
|
|
|
set_paragraph_format(p_first) |
|
|
|
|
|
|
|
# 一、公司各部门横向比较情况 |
|
|
@ -338,11 +465,13 @@ def generate_word_report(): |
|
|
|
add_chapter_2(doc) |
|
|
|
|
|
|
|
p_last = doc.add_paragraph( |
|
|
|
'现项企业流程效能分析是公司管理工具逐步完善尝试和摸索的阶段,只是单一评估维度,大家若对评估维度有相应意见,欢迎积极提出,共同促进项企流程效能分析不断完善,进而提升公司整体效率!') |
|
|
|
'针对以上数据,请各部门负责人认真对待并针对部门情况进行分析。' |
|
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'现项企业流程效能分析是公司管理工具逐步完善尝试和摸索的阶段,评估维度、呈现形式均在调整优化中,' |
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'欢迎大家对效能评估维提出建设意见,共同促进项企流程效能分析不断完善,进而提升公司整体效率!') |
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set_paragraph_format(p_last) |
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# 保存文档 |
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report_file_name = '项企流程效能分析结果公示(全员)-{}年{}月.docx'.format(last_year, last_month) |
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report_file_name = '项企流程效能分析结果公示-{}年{}月.docx'.format(last_year, last_month) |
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report_file = f'{REPORT_DIR}/{report_file_name}' |
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doc.save(report_file) |
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logging.info('本地报表创建成功:{}'.format(report_file)) |
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@ -375,6 +504,41 @@ def try_create_dir(dir_name): |
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print(f"目录'{dir_name}'创建成功!") |
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def generate_procinst_by_department(procinst_by_senior, procinst_by_department_user): |
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departments = {} # 存储每个部门的信息 |
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procinst_by_senior_user = [('高管', item[0], item[1], item[2]) for item in procinst_by_senior] |
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all_departments = procinst_by_department_user + procinst_by_senior_user |
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for item in all_departments: |
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department = item[0] |
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user_name = item[1] |
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procinst_count_by_user = item[2] |
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procinst_duration_by_user = item[3] |
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if department not in departments: |
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departments[department] = { |
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'd_users': [], |
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'd_count': [], |
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'd_duration': [] |
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} |
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departments[department]['d_users'].append((user_name, procinst_count_by_user, procinst_duration_by_user)) |
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departments[department]['d_count'].append(procinst_count_by_user) |
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departments[department]['d_duration'].append(procinst_duration_by_user) |
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rslt = [] |
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for department, info in departments.items(): |
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d_count_average = round_to_integer(np.mean(info['d_count'])) |
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d_duration_average = round(np.mean(info['d_duration']), 2) |
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rslt.append((department, d_count_average, d_duration_average, info['d_users'])) |
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rslt.sort(key=lambda d: d[1], reverse=True) # 按照部门处理流程条数倒序排列 |
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return rslt |
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if __name__ == '__main__': |
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try: |
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try_create_dir(REPORT_DIR) |
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@ -391,19 +555,14 @@ if __name__ == '__main__': |
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last_year, last_month = get_report_year_month() |
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start_time, end_time = get_report_start_end() |
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qs1 = db_helper.querystring_procinst_duration_by_company(start_time, end_time) |
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procinst_duration_by_company = client.execute(qs1)[0][0] |
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qs2 = db_helper.querystring_procinst_duration_by_department(start_time, end_time) |
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procinst_duration_by_department = client.execute(qs2) |
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qs3 = db_helper.querystring_procinst_duration_by_senior(start_time, end_time) |
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procinst_duration_by_senior = client.execute(qs3)[0][0] |
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qs1 = db_helper.querystring_procinst_by_user(start_time, end_time) |
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procinst_by_user = client.execute(qs1) |
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procinst_count_by_company = round_to_integer(np.mean([item[1] for item in procinst_by_user])) |
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procinst_duration_by_company = round(np.mean([item[2] for item in procinst_by_user]), 2) |
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for index, (department, elapse) in enumerate(procinst_duration_by_department): |
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if procinst_duration_by_senior is not None and procinst_duration_by_senior >= elapse: |
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procinst_duration_by_department.insert(index, ('高管', procinst_duration_by_senior)) |
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break |
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qs2 = db_helper.querystring_procinst_by_user(start_time, end_time, senior=True) |
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qs3 = db_helper.querystring_procinst_by_department_user(start_time, end_time) |
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procinst_by_department = generate_procinst_by_department(client.execute(qs2), client.execute(qs3)) |
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generate_word_report() # 生成报表文件 |
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except Exception as error: |
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