def alipay2note():
cnxp = lite.connect(dbpathdingdanmingxi)
pathalipay = dirmainpath / 'data' / 'finance' / 'alipay'
dfall = chulidataindir(cnxp, 'alipay', '支付宝流水', '2088802968197536', '支付宝',
pathalipay, chulixls_zhifubao)
zhds = fenliu2note(dfall)
cnxp.close()
financesection = '财务流水账'
item = '支付宝白晔峰流水条目'
cfpzysm, inizysmpath = getcfp('everzysm')
if not cfpzysm.has_option(financesection, item):
count = 0
else:
count = cfpzysm.getint(financesection, item)
if count == zhds.shape[0]:
log.info(f'{item}\t{zhds.shape[0]}\t无内容更新。')
return zhds
else:
log.info(f'{item}\t{zhds.shape[0]}\t内容有更新。')
nowstr = datetime.datetime.now().strftime('%F %T')
imglist2note(
get_notestore(), [], 'f5bad0ca-d7e4-4148-99ac-d3472f1c8d80',
f'支付宝白晔峰流水（{nowstr}）',
tablehtml2evernote(zhds, tabeltitle='支付宝白晔峰流水', withindex=False))
cfpzysm.set(financesection, item, f'{zhds.shape[0]}')
cfpzysm.write(open(inizysmpath, 'w', encoding='utf-8'))
return zhds
def notification2df(items):
split_items = list()
for itemstr in items:
split_items.append(itemstr.strip().split('||| '))
dfnoti = pd.DataFrame(split_items,
columns=('atime', 'shuxing', 'topic', 'content'))
dfnoti['received'] = True
# global log
log.info('系统提醒记录有%d条。' % dfnoti.shape[0])
# descdb(dfnoti)
dfnoti.drop_duplicates(inplace=True)
log.info('系统提醒记录去重后有%d条。' % dfnoti.shape[0])
dfnoti.index = dfnoti['atime'].apply(lambda x: pd.to_datetime(
datetime.datetime.strptime(x.strip(), '%B %d, %Y at %I:%M%p')) if len(
x.split('at')) > 1 else pd.to_datetime(
datetime.datetime.strptime(x.strip(), '%B %d, %Y')))
# dfnoti.index = dfnoti['atime']
del dfnoti['atime']
dfnoti.sort_index(ascending=False, inplace=True)
# descdb(dfnoti)
dfout = dfnoti
# b3a3e458-f05b-424d-8ec1-604a3e916724
try:
notestore = get_notestore()
xiangmu = ['微信', '支付宝', 'QQ', '日历']
cfplife, inilifepath = getcfp('everlife')
for xm in xiangmu:
biaoti = '系统提醒（%s）记录' % xm
dfxm = dfnoti[dfnoti.shuxing == xm]
if cfplife.has_option('lifenotecount', xm):
ready2update = dfxm.shape[0] > cfplife.getint(
'lifenotecount', xm)
else:
ready2update = True
print('%d\t%s\t%s' % (dfxm.shape[0], ready2update, biaoti))
if ready2update:
imglist2note(notestore, [], cfplife.get('notesguid', xm),
biaoti, tablehtml2evernote(dfxm[:1000], biaoti))
cfplife.set('lifenotecount', xm, '%d' % dfxm.shape[0])
cfplife.write(open(inilifepath, 'w', encoding='utf-8'))
except Exception as ee:
log.critical('更新系统提醒笔记时出现错误。%s' % str(ee))
return dfout
def finance2note(srccount, rstdf, mingmu, mingmu4ini, title):
print(f"df索引名称为：{rstdf.index.name}")
noteguid = getinivaluefromnote('webchat', mingmu)
count_zdzz = getcfpoptionvalue('everwebchat', 'finance', mingmu4ini)
if not count_zdzz:
count_zdzz = 0
# print(f"{count_zdzz}")
rstdf.fillna('None', inplace=True)
colstr = f'{rstdf.index.name}\t' + '\t'.join(list(rstdf.columns)) + '\n'
itemstr = colstr
for idx in rstdf.index:
itemstr += str(idx) + '\t' + '\t'.join(rstdf.loc[idx]) + '\n'
# print(f"{itemstr}")
notecontent = "<pre>" + itemstr + "</pre>"
finance2note4debug = getinivaluefromnote('webchat', 'finance2note4debug')
# print(f"{type(finance2note4debug)}\t{finance2note4debug}")
if (srccount != count_zdzz) or finance2note4debug: # or True:
imglist2note(get_notestore(), [], noteguid, title, notecontent)
setcfpoptionvalue('everwebchat', 'finance', mingmu4ini, f"{srccount}")
log.info(f"成功更新《{title}》，记录共有{rstdf.shape[0]}条")
def caiwu2note(itemname, itemnameini, rstdf, clnameswithindex):
print(f"<{itemname}>数据文本有效条目数：{rstdf.shape[0]}")
shoukuanfixguid = getinivaluefromnote('webchat', f'{itemname}补')
fixdf = getfix4finance(shoukuanfixguid, clnameswithindex)
print(f"<{itemname}>修正笔记有效条目数：{fixdf.shape[0]}")
alldf = rstdf.append(fixdf)
bcount = alldf.shape[0]
# 索引去重
alldf = alldf[~alldf.index.duplicated()]
acount = alldf.shape[0]
print(f"{bcount}\t{acount}")
alldf.sort_index(ascending=False, inplace=True)
# print(alldf)
print(f"<{itemname}>综合有效条目数：{alldf.shape[0]}")
finance2note(alldf.shape[0], alldf, f'{itemname}', f"{itemnameini}",
f'{itemname}记录')
alldf['time'] = alldf.index
alldf['date'] = alldf['time'].apply(
lambda x: pd.to_datetime(x).strftime('%F'))
alldf['amount'] = alldf['amount'].astype(float)
agg_map = {'daycount': 'count', 'amount': 'sum'}
alldfgrpagg = alldf.groupby('date', as_index=False).agg(agg_map)
alldfgrpagg.columns = ['date', 'lcount', 'lsum']
alldf.drop_duplicates(['date'], keep='first', inplace=True)
finaldf = pd.merge(alldf, alldfgrpagg, how='outer', on=['date'])
alldf = finaldf.loc[:, ['date', 'lcount', 'daycount', 'daysum', 'lsum']]
# 日期，记录项目计数，记录项目最高值，记录项目累计值，记录项目求和
alldf.columns = ['date', 'lc', 'lh', 'lacc', 'lsum']
shoukuanrihuizongguid = getinivaluefromnote('webchat', f'{itemname}总手动')
rhzdengjidf = getfix4finance(shoukuanrihuizongguid,
['date', 'count', 'sum'])
duibidf = pd.merge(alldf, rhzdengjidf, how='outer', on=['date'])
# 判断覆盖天数是否需要更新
itemslcsum = duibidf['lc'].sum()
print(f"<{itemname}>记录条目数量:{itemslcsum}")
itemslcsumini = getcfpoptionvalue('everwebchat', 'finance',
f'{itemname}lcsum')
print(f"<{itemname}>记录数量（ini）\t{itemslcsumini}")
if not itemslcsumini:
itemslcsumini = 0
if itemslcsumini == itemslcsum: # and False:
print(f"<{itemname}>收款记录数量无变化")
return
duibidf.set_index('date', inplace=True)
duibidf.sort_index(ascending=False, inplace=True)
col_names = list(duibidf.columns)
col_names.append('check')
duibidf = duibidf.reindex(columns=col_names)
# 通过0的填充保证各列数据可以运算
duibidf.fillna(0, inplace=True)
duibidf['lacc'] = duibidf['lacc'].astype(float)
duibidf['sum'] = duibidf['sum'].astype(float)
duibidf['count'] = duibidf['count'].astype(int, errors='ignore')
# print(duibidf.dtypes)
duibidf['check'] = duibidf['lc'] - duibidf['count']
duibidf['check'] = duibidf['check'].apply(lambda x: '待核正'
if (x != 0) else '')
duibiguid = getinivaluefromnote('webchat', f'{itemname}核对')
title = f'{itemname}核对'
notecontent = tablehtml2evernote(duibidf, title)
imglist2note(get_notestore(), [], duibiguid, title, notecontent)
setcfpoptionvalue('everwebchat', 'finance', f'{itemname}lcsum',
f"{itemslcsum}")
def weatherstat(df, destguid=None):
dfduplicates = df.groupby('date').apply(
lambda d: tuple(d.index) if len(d.index) > 1 else None).dropna()
log.info(dfduplicates)
df.drop_duplicates(inplace=True) # 去重，去除可能重复的天气数据记录，原因可能是邮件重复发送等
# print(df.head(30))
df['date'] = df['date'].apply(lambda x: pd.to_datetime(x))
# 日期做索引，去重并重新排序
df.index = df['date']
df = df[~df.index.duplicated()]
df.sort_index(inplace=True)
# print(df)
df.dropna(how='all', inplace=True) # 去掉空行，索引日期，后面索引值相同的行会被置空，需要去除
# print(len(df))
# df['gaowen'] = df['gaowen'].apply(lambda x: np.nan if str(x).isspace() else int(x)) #处理空字符串为空值的另外一骚
df['gaowen'] = df['gaowen'].apply(lambda x: int(x)
if x else None) # 数字串转换成整数，如果空字符串则为空值
df['diwen'] = df['diwen'].apply(lambda x: int(x) if x else None)
df['fengsu'] = df['fengsu'].apply(lambda x: int(x) if x else None)
df['shidu'] = df['shidu'].apply(lambda x: int(x) if x else None)
# df['gaowen'] = df['gaowen'].astype(int)
# df['diwen'] = df['diwen'].astype(int)
# df['fengsu'] = df['fengsu'].astype(int)
# df['shidu'] = df['shidu'].astype(int)
df.fillna(method='ffill', inplace=True) # 向下填充处理可能出现的空值，bfill是向上填充
df['wendu'] = (df['gaowen'] + df['diwen']) / 2
df['richang'] = df['sunoff'] - df['sunon']
df['richang'] = df['richang'].astype(int)
df['wendu'] = df['wendu'].astype(int)
# print(df.tail(30))
df_recent_year = df.iloc[-365:]
# print(df_recent_year)
# print(df[df.gaowen == df.iloc[-364:]['gaowen'].max()])
# df_before_year = df.iloc[:-364]
plt.figure(figsize=(16, 20))
ax1 = plt.subplot2grid((4, 2), (0, 0), colspan=2, rowspan=2)
ax1.plot(df['gaowen'], lw=0.3, label=u'日高温')
ax1.plot(df['diwen'], lw=0.3, label=u'日低温')
ax1.plot(df['wendu'], 'g', lw=0.7, label=u'日温度（高温低温平均）')
quyangtianshu = 10
ax1.plot(df['wendu'].resample('%dD' % quyangtianshu).mean(),
'b',
lw=1.2,
label='日温度（每%d天平均）' % quyangtianshu)
ax1.plot(df[df.fengsu > 5]['fengsu'], '*', label='风速（大于五级）')
plt.legend(loc=2)
# 起始统计日
kedu = df.iloc[0]
ax1.plot([kedu['date'], kedu['date']], [0, kedu['wendu']], 'c--', lw=0.4)
ax1.scatter([
kedu['date'],
], [kedu['wendu']], 50, color='Wheat')
fsize = 8
txt = str(kedu['wendu'])
ax1.annotate(txt,
xy=(kedu['date'], kedu['wendu']),
xycoords='data',
xytext=(-(len(txt) * fsize), +20),
textcoords='offset points',
fontsize=fsize,
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=.2",
color='Purple'))
dates = "%02d-%02d" % (kedu['date'].month, kedu['date'].day)
ax1.annotate(dates,
xy=(kedu['date'], 0),
xycoords='data',
xytext=(-10, -20),
textcoords='offset points',
fontsize=8,
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=0"))
# 去年今日，如果数据不足一年，取今日
if len(df) >= 366:
locqnjr = -365
else:
locqnjr = -1
kedu = df.iloc[locqnjr]
# kedu = df.iloc[-364]
print(kedu)
ax1.plot([kedu['date'], kedu['date']], [0, kedu['wendu']], 'c--')
ax1.scatter([
kedu['date'],
], [kedu['wendu']], 50, color='Wheat')
ax1.annotate(str(kedu['wendu']),
xy=(kedu['date'], kedu['wendu']),
xycoords='data',
xytext=(-5, +20),
textcoords='offset points',
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=.2",
color='Purple'))
dates = "%02d-%02d" % (kedu['date'].month, kedu['date'].day)
ax1.annotate(dates,
xy=(kedu['date'], 0),
xycoords='data',
xytext=(-10, -35),
textcoords='offset points',
fontsize=8,
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=0"))
# 今日
kedu = df.iloc[-1]
# print(kedu)
ax1.plot([kedu['date'], kedu['date']], [0, kedu['wendu']], 'c--')
ax1.scatter([
kedu['date'],
], [kedu['gaowen']], 50, color='BlueViolet')
ax1.annotate(str(kedu['gaowen']),
xy=(kedu['date'], kedu['gaowen']),
xycoords='data',
xytext=(-10, +20),
textcoords='offset points',
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=.2",
color='Purple'))
ax1.scatter([
kedu['date'],
], [kedu['wendu']], 50, color='BlueViolet')
ax1.annotate(str(kedu['wendu']),
xy=(kedu['date'], kedu['wendu']),
xycoords='data',
xytext=(10, +5),
textcoords='offset points',
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=.2",
color='Purple'))
ax1.scatter([
kedu['date'],
], [kedu['diwen']], 50, color='BlueViolet')
ax1.annotate(str(kedu['diwen']),
xy=(kedu['date'], kedu['diwen']),
xycoords='data',
xytext=(-10, -20),
textcoords='offset points',
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=.2",
color='Purple'))
dates = "%02d-%02d" % (kedu['date'].month, kedu['date'].day)
ax1.annotate(dates,
xy=(kedu['date'], 0),
xycoords='data',
xytext=(-10, -35),
textcoords='offset points',
fontsize=8,
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=0"))
# 最近一年最高温
kedu = df_recent_year[df_recent_year.gaowen == df_recent_year.iloc[-364:]
['gaowen'].max()].iloc[0]
# print(kedu)
ax1.plot([kedu['date'], kedu['date']], [0, kedu['gaowen']], 'c--')
ax1.scatter([
kedu['date'],
], [kedu['gaowen']], 50, color='Wheat')
ax1.annotate(str(kedu['gaowen']),
xy=(kedu['date'], kedu['gaowen']),
xycoords='data',
xytext=(-20, +5),
textcoords='offset points',
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=.2",
color='Purple'))
dates = "%02d-%02d" % (kedu['date'].month, kedu['date'].day)
ax1.annotate(dates,
xy=(kedu['date'], 0),
xycoords='data',
xytext=(-10, -20),
textcoords='offset points',
fontsize=8,
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=0"))
# 最近一年最低温
kedu = df_recent_year[df_recent_year.diwen == df_recent_year.iloc[-364:]
['diwen'].min()].iloc[0]
ax1.plot([kedu['date'], kedu['date']], [0, kedu['diwen']], 'c--')
ax1.scatter([
kedu['date'],
], [kedu['diwen']], 50, color='Wheat')
ax1.annotate(str(kedu['diwen']),
xy=(kedu['date'], kedu['diwen']),
xycoords='data',
xytext=(-20, +5),
textcoords='offset points',
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=.2",
color='Purple'))
dates = "%02d-%02d" % (kedu['date'].month, kedu['date'].day)
ax1.annotate(dates,
xy=(kedu['date'], 0),
xycoords='data',
xytext=(-10, -20),
textcoords='offset points',
fontsize=8,
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=0"))
# 最高温
kedu = df[df.gaowen == df['gaowen'].max()].iloc[0]
ax1.plot([kedu['date'], kedu['date']], [0, kedu['gaowen']], 'c--')
ax1.scatter([
kedu['date'],
], [kedu['gaowen']], 50, color='Wheat')
ax1.annotate(str(kedu['gaowen']),
xy=(kedu['date'], kedu['gaowen']),
xycoords='data',
xytext=(-20, +5),
textcoords='offset points',
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=.2",
color='Purple'))
dates = "%02d-%02d" % (kedu['date'].month, kedu['date'].day)
ax1.annotate(dates,
xy=(kedu['date'], 0),
xycoords='data',
xytext=(-10, -20),
textcoords='offset points',
fontsize=8,
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=0"))
# 最低温
kedu = df[df.diwen == df['diwen'].min()].iloc[0]
ax1.plot([kedu['date'], kedu['date']], [0, kedu['diwen']], 'c--')
ax1.scatter([
kedu['date'],
], [kedu['diwen']], 50, color='Wheat')
ax1.annotate(str(kedu['diwen']),
xy=(kedu['date'], kedu['diwen']),
xycoords='data',
xytext=(-20, +5),
textcoords='offset points',
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=.2",
color='Purple'))
dates = "%02d-%02d" % (kedu['date'].month, kedu['date'].day)
ax1.annotate(dates,
xy=(kedu['date'], 0),
xycoords='data',
xytext=(-10, -20),
textcoords='offset points',
fontsize=8,
arrowprops=dict(arrowstyle="->",
connectionstyle="arc3,rad=0"))
ax1.set_ylabel(u'（摄氏度℃）')
ax1.grid(True)
ax1.set_title(u'最高气温、最低气温和均值温度图')
ax3 = plt.subplot2grid((4, 2), (2, 0), colspan=2, rowspan=2)
# print(type(ax3))
ax3.plot(df_recent_year['shidu'], 'c.', lw=0.3, label=u'湿度')
ax3.plot(df_recent_year['shidu'].resample('15D').mean(), 'g', lw=1.5)
ax3.set_ylabel(u'（百分比%）')
ax3.set_title(u'半月平均湿度图')
img_wenshifeng_path = dirmainpath / "img" / 'weather' / 'wenshifeng.png'
img_wenshifeng_path_str = str(img_wenshifeng_path)
touchfilepath2depth(img_wenshifeng_path)
plt.legend(loc='lower left')
plt.savefig(img_wenshifeng_path_str)
imglist = list()
imglist.append(img_wenshifeng_path_str)
plt.close()
plt.figure(figsize=(16, 10))
fig, ax1 = plt.subplots()
plt.plot(df['date'], df['sunon'], lw=0.8, label=u'日出')
plt.plot(df['date'], df['sunoff'], lw=0.8, label=u'日落')
ax = plt.gca()
# ax.yaxis.set_major_formatter(FuncFormatter(min_formatter)) # 主刻度文本用pi_formatter函数计算
ax.yaxis.set_major_formatter(
FuncFormatter(lambda x, pos: "%02d:%02d" %
(int(x / 60), int(x % 60)))) # 主刻度文本用pi_formatter函数计算
plt.ylim((0, 24 * 60))
plt.yticks(np.linspace(0, 24 * 60, 25))
plt.xlabel(u'日期')
plt.ylabel(u'时刻')
plt.legend(loc=6)
plt.title(u'日出日落时刻和白天时长图')
plt.grid(True)
ax2 = ax1.twinx()
print(ax2)
plt.plot(df_recent_year['date'],
df_recent_year['richang'],
'r',
lw=1.5,
label=u'日长')
ax = plt.gca()
# ax.yaxis.set_major_formatter(FuncFormatter(min_formatter)) # 主刻度文本用pi_formatter函数计算
ax.yaxis.set_major_formatter(
FuncFormatter(lambda x, pos: "%02d:%02d" %
(int(x / 60), int(x % 60)))) # 主刻度文本用pi_formatter函数计算
# ax.set_xticklabels(rotation=45, horizontalalignment='right')
plt.ylim((3 * 60, 12 * 60))
plt.yticks(np.linspace(3 * 60, 15 * 60, 13))
plt.ylabel(u'时分')
plt.legend(loc=5)
plt.grid(True)
# plt.show()
img_sunonoff_path = dirmainpath / 'img' / 'weather' / 'sunonoff.png'
img_sunonoff_path_str = str(img_sunonoff_path)
touchfilepath2depth(img_sunonoff_path)
plt.savefig(img_sunonoff_path_str)
imglist.append(img_sunonoff_path_str)
plt.close()
imglist2note(get_notestore(), imglist, destguid, '武汉天气图')
if not (everlogc := getcfpoptionvalue(namestr, namestr, countnameinini)):
everlogc = 0
# log.info(everlogc)
if len(loglines) == everlogc: # <=调整为==，用来应对log文件崩溃重建的情况
print(f'暂无新的{levelstr4title}记录，不更新everwork的{levelstr}日志笔记。')
else:
loglinesloglimit = loglines[(-1 * loglimit):]
loglinestr = '\n'.join(loglinesloglimit[::-1])
loglinestr = loglinestr.replace('<', '《').replace('>',
'》').replace('=', '等于').replace('&', '并或')
loglinestr = "<pre>" + loglinestr + "</pre>"
log.info(f"日志字符串长度为：\t{len(loglinestr)}")
# log.info(loglinestr[:100])
try:
nstore = get_notestore()
imglist2note(nstore, [], noteguid,
notetitle, loglinestr)
setcfpoptionvalue(namestr, namestr, countnameinini, f'{len(loglines)}')
print(f'新的log{levelstr4title}信息成功更新入笔记')
except Exception as eeee:
errmsg = f'处理新的log{levelstr4title}信息到笔记时出现未名错误。{eeee}'
log.critical(errmsg)
ifttt_notify(errmsg, 'log2note')
# %%
@set_timeout(360, after_timeout)
def log2notes():
namestr = 'everlog'
device_id = getdeviceid()
token = getcfpoptionvalue('everwork', 'evernote', 'token')
def showorderstat():
# xlsfile = 'data\\work\\销售订单\\销售订单20180606__20180607034848_480667.xls'
# dforder = chulixls_order(xlsfile)
# global workplannotebookguid
workplannotebookguid = '2c8e97b5-421f-461c-8e35-0f0b1a33e91c'
pathor = dirmainpath / 'data' / 'work' / '销售订单'
dforder = chulidataindir_order(pathor)
# print(dforder.dtypes)
dingdanxiaoshouyuedufenxi(dforder)
dforder = dforder.loc[:, ['日期', '订单编号', '区域', '类型', '客户名称', '业务人员', '订单金额']]
dforder.sort_values(by=['日期', '订单编号', '业务人员'], ascending=False, inplace=True)
zuixinriqi = dforder.groupby(['日期'])['日期'].size().index.max()
orderdatestr = zuixinriqi.strftime('%F')
print(orderdatestr, end='\t')
dforderzuixinriqi = dforder[dforder.日期 == zuixinriqi]
print(dforderzuixinriqi.shape[0])
persons = list(dforderzuixinriqi.groupby('业务人员')['业务人员'].count().index)
# print(persons)
notestr = '每日销售订单核对'
if cfpzysm.has_section(notestr) is False:
cfpzysm.add_section(notestr)
cfpzysm.write(open(inizysmpath, 'w', encoding='utf-8'))
for person in persons:
if cfpzysm.has_option(notestr + 'guid', person) is False:
try:
notestore = get_notestore()
plannote = ttypes.Note()
plannote.title = notestr + person
nbody = '<?xml version="1.0" encoding="UTF-8"?>'
nbody += '<!DOCTYPE en-note SYSTEM "http://xml.evernote.com/pub/enml2.dtd">'
nbody += '<en-note>%s</en-note>' % plannote.title
plannote.content = nbody
plannote.notebookGuid = workplannotebookguid
token = cfp.get('evernote', 'token')
note = notestore.createNote(token, plannote)
evernoteapijiayi()
cfpzysm.set(notestr + 'guid', person, '%s' % note.guid)
cfpzysm.write(open(inizysmpath, 'w', encoding='utf-8'))
log.info('成功创建%s的%s笔记' % (person, notestr))
except Exception as ee:
log.critical('创建%s的%s笔记时出现错误。%s' % (person, notestr, str(ee)))
continue
if cfpzysm.has_option(notestr + 'guid', person + '最新订单日期'):
ordertoday = cfpzysm.get(notestr + 'guid', person + '最新订单日期')
if zuixinriqi <= pd.to_datetime(ordertoday): # and False: # 调试开关，强行生成图表
continue
dfperson = dforderzuixinriqi[dforderzuixinriqi.业务人员 == person]
dfpersonsum = dfperson.groupby('业务人员').sum()['订单金额']
del dfperson['业务人员']
del dfperson['日期']
print(person, end='\t')
print(dfpersonsum[0], end='\t')
personguid = cfpzysm.get(notestr + 'guid', person)
print(personguid)
neirong = tablehtml2evernote(dftotal2top(dfperson), f'{orderdatestr}{notestr}——{person}', withindex=False)
# print(neirong)
try:
notestore = get_notestore()
imglist2note(notestore, [], personguid, '%s——%s（%s）' % (notestr, person, orderdatestr), neirong)
cfpzysm.set(notestr + 'guid', person + '最新订单日期', '%s' % orderdatestr)
cfpzysm.write(open(inizysmpath, 'w', encoding='utf-8'))
except Exception as eeee:
log.critical('更新笔记%s——%s（%s）时出现严重错误。%s' % (notestr, person, orderdatestr, str(eeee)))
else:
log.info('下列人员的销售订单正常处置完毕：%s' % persons)
yuechuriqi = pd.to_datetime(f"{zuixinriqi.strftime('%Y')}-{zuixinriqi.strftime('%m')}-01")
dfsales = pd.DataFrame(dforder[dforder.日期 >= yuechuriqi])
dfsales = dfsales.groupby(['区域', '类型', '客户名称', '业务人员'], as_index=False).sum()
dfsales.sort_values(['区域', '订单金额'], inplace=True)
notestr = '销售订单金额（月）'
if cfpzysm.has_section(notestr) is False:
cfpzysm.add_section(notestr)
cfpzysm.write(open(inizysmpath, 'w', encoding='utf-8'))
for person in persons:
if cfpzysm.has_option(notestr, person) is False:
try:
notestore = get_notestore()
plannote = ttypes.Note()
plannote.title = notestr + person
nbody = '<?xml version="1.0" encoding="UTF-8"?>'
nbody += '<!DOCTYPE en-note SYSTEM "http://xml.evernote.com/pub/enml2.dtd">'
nbody += '<en-note>%s</en-note>' % plannote.title
plannote.content = nbody
plannote.notebookGuid = workplannotebookguid
# cfp, cfppath = getcfp('everwork')
token = cfp.get('evernote', 'token')
note = notestore.createNote(token, plannote)
evernoteapijiayi()
cfpzysm.set(notestr, person, '%s' % note.guid)
cfpzysm.write(open(inizysmpath, 'w', encoding='utf-8'))
log.info('成功创建%s的%s笔记' % (person, notestr))
except Exception as ee:
log.critical('创建%s的%s笔记时出现错误。%s' % (person, notestr, str(ee)))
continue
if cfpzysm.has_option(notestr, person + '最新订单日期'):
ordertoday = cfpzysm.get(notestr, person + '最新订单日期')
if zuixinriqi <= pd.to_datetime(ordertoday): # and False:
continue
dfperson = dfsales[dfsales.业务人员 == person]
dfpersonsum = dfperson['订单金额'].sum()
del dfperson['业务人员']
print(person, end='\t')
print(dfpersonsum, end='\t')
personguid = cfpzysm.get(notestr, person)
print(personguid)
neirong = tablehtml2evernote(dftotal2top(dfperson), f'{orderdatestr[:-3]}{notestr}', withindex=False)
# print(neirong)
try:
notestore = get_notestore()
imglist2note(notestore, [], personguid, '%s——%s（%s）' % (notestr, person, orderdatestr[:-3]), neirong)
cfpzysm.set(notestr, person + '最新订单日期', '%s' % orderdatestr)
cfpzysm.write(open(inizysmpath, 'w', encoding='utf-8'))
except Exception as eeee:
log.critical('更新笔记%s——%s（%s）时出现严重错误。%s' % (notestr, person, orderdatestr, str(eeee)))
else:
log.info('下列人员的销售订单金额月度分析正常处置完毕：%s' % persons)
dfsales = pd.DataFrame(dforder)
dfsales = dfsales.groupby(['日期', '业务人员'], as_index=False).sum()
# persons = list(dfsales.groupby('业务人员')['业务人员'].count().index)
# print(persons)
dfsales.sort_values(['日期'], inplace=True)
notestr = '销售金额分析图表'
if cfpzysm.has_section(notestr) is False:
cfpzysm.add_section(notestr)
cfpzysm.write(open(inizysmpath, 'w', encoding='utf-8'))
for person in persons:
if cfpzysm.has_option(notestr, person) is False:
try:
notestore = get_notestore()
plannote = ttypes.Note()
plannote.title = notestr + person
nbody = '<?xml version="1.0" encoding="UTF-8"?>'
nbody += '<!DOCTYPE en-note SYSTEM "http://xml.evernote.com/pub/enml2.dtd">'
nbody += '<en-note>%s</en-note>' % plannote.title
plannote.content = nbody
plannote.notebookGuid = workplannotebookguid
# cfp, cfppath = getcfp('everwork')
token = cfp.get('evernote', 'token')
note = notestore.createNote(token, plannote)
evernoteapijiayi()
cfpzysm.set(notestr, person, '%s' % note.guid)
cfpzysm.write(open(inizysmpath, 'w', encoding='utf-8'))
log.info('成功创建%s的%s笔记' % (person, notestr))
except Exception as ee:
log.critical('创建%s的%s笔记时出现错误。%s' % (person, notestr, str(ee)))
continue
dfperson = dfsales[dfsales.业务人员 == person]
zuixinriqi = dfperson.groupby(['日期'])['日期'].size().index.max()
orderdatestr = zuixinriqi.strftime('%F')
if cfpzysm.has_option(notestr, person + '最新订单日期'):
ordertoday = cfpzysm.get(notestr, person + '最新订单日期')
# print(f'{zuixinriqi}\t{ordertoday}')
if zuixinriqi <= pd.to_datetime(ordertoday): # and False: # 调试开关，强行生成图表
continue
dfpersonsum = dfperson['订单金额'].sum()
dfperson = dfperson.groupby(['日期']).sum()
# del dfperson['业务人员']
print(person, end='\t')
print(dfpersonsum, end='\t')
personguid = cfpzysm.get(notestr, person)
print(personguid)
# neirong = tablehtml2evernote(dftotal2top(dfperson), f'{orderdatestr[:-3]}{notestr}', withindex=False)
neirong = ""
# print(neirong)
try:
notestore = get_notestore()
imglist = dfin2imglist(dfperson, cum=True)
imglist2note(notestore, imglist, personguid, '%s——%s（%s）' % (notestr, person, orderdatestr[:-3]), neirong)
cfpzysm.set(notestr, person + '最新订单日期', '%s' % orderdatestr)
cfpzysm.write(open(inizysmpath, 'w', encoding='utf-8'))
except Exception as eeee:
log.critical('更新笔记%s——%s（%s）时出现严重错误。%s' % (notestr, person, orderdatestr, str(eeee)))
else:
log.info('下列人员的销售金额分析图表正常处置完毕：%s' % persons)
plt.close()
imglst.append(str(imgpathtoday))
dsdays = ds.resample('D').sum()
print(dsdays)
dsdays.plot()
imgpathdays = dirmainpath / 'img' / 'gpsdays.png'
touchfilepath2depth(imgpathdays)
plt.savefig(str(imgpathdays))
plt.close()
imglst.append(str(imgpathdays))
print(imglst)
if (device_name := getinivaluefromnote('device', device_id)) is None:
device_name = device_id
imglist2note(
get_notestore(), imglst, guid, f'手机_{device_name}_location更新记录',
tablehtml2evernote(
df4dis.sort_index(ascending=False).iloc[:100, ], "坐标流水记录单"))
# %% [markdown]
# ## 主函数main
# %%
if __name__ == '__main__':
if not_IPython():
log.info(f'运行文件\t{__file__}……')
dout = chuli_datasource()
foot2show(dout)
# showdis()
if not_IPython():
log.info(f"完成文件{__file__}\t的运行")
plt.annotate(cutdf.index[-1].strftime("%y-%m-%d %H:%M"),
xy=[cutdf.index[-1], cutdf.iloc[-1, 1]])
plt.savefig(imgpath)
return str(imgpath)
# %%
def show2evernote(imglst):
deviceid = getdeviceid()
guid = getinivaluefromnote('freemem', f'free_{deviceid}')
print(guid)
if (device_name := getinivaluefromnote('device', deviceid)) is None:
device_name = deviceid
imglist2note(get_notestore(), imglst, guid, f'手机_{device_name}_空闲内存动态', "")
# %% [markdown]
# ## 主函数
# %%
if __name__ == '__main__':
if not_IPython():
logstrouter = "运行文件\t%s……" % __file__
log.info(logstrouter)
datarelatepath = "sbase/zshscripts"
img = getcutpoint(datarelatepath)
show2evernote([img])
if not_IPython():
logstrouter = "文件%s运行结束" % (__file__)
noteguid = getinivaluefromnote('webchat', mingmu)
if not (count_zdzz := getcfpoptionvalue('everwebchat', 'finance', mingmu4ini)):
count_zdzz = 0
# print(f"{count_zdzz}")
rstdf.fillna('None', inplace=True)
colstr = 'index\t' + '\t'.join(list(rstdf.columns)) + '\n'
itemstr = colstr
for idx in rstdf.index:
itemstr += str(idx)+ '\t' + '\t'.join(rstdf.loc[idx]) + '\n'
# print(f"{itemstr}")
notecontent = itemstr
finance2note4debug = getinivaluefromnote('webchat', 'finance2note4debug')
print(f"{type(finance2note4debug)}\t{finance2note4debug}")
if (srccount != count_zdzz) or finance2note4debug:
imglist2note(get_notestore(), [], noteguid, title, notecontent)
setcfpoptionvalue('everwebchat', 'finance', mingmu4ini, f"{srccount}")
log.info(f"成功更新《{title}》，记录共有{rstdf.shape[0]}条")
# %%
def tiqucaiwujilufromsingletxt(filename):
"""
从单一文件提取聊天记录，生成DataFrame输出
"""
ffulltxt = ""
decode_set = ['utf-8', 'gb18030', 'ISO-8859-2', 'gb2312', 'gbk', 'Error']
for dk in decode_set:
try:
with open(filename, "r", encoding=dk) as f:
ffulltxt = f.read()
# readinifromnote()
# cfpfromnote, cfpfromnotepath = getcfp('everinifromnote')
if (men_wc is None) or (len(men_wc) == 0):
log.critical(f"登录名{men_wc}为空！！！")
return
if (chatnoteguid := getinivaluefromnote('webchat', men_wc + f"_{getdeviceid()}").lower()) is None:
chatnoteguid = getinivaluefromnote('webchat', men_wc).lower()
updatefre = getinivaluefromnote('webchat', 'updatefre')
showitemscount = getinivaluefromnote('webchat', 'showitems')
# print(f"{type(showitemscount)}\t{showitemscount}")
neirong = "\n".join(chatitems[:showitemscount])
neirongplain = neirong.replace('<', '《').replace('>', '》') \
.replace('=', '等于').replace('&', '并或')
if (len(chatitems) % updatefre) == 0:
neirongplain = "<pre>" + neirongplain + "</pre>"
imglist2note(note_store, [], chatnoteguid, f"微信（{men_wc}）_（{getinivaluefromnote('device', getdeviceid())}）记录更新笔记",
neirongplain)
# print(webchats)
# %%
def getsendernick(msg):
"""
获取发送者昵称并返回
"""
# sendernick = itchat.search_friends(userName=msg['FromUserName'])
if msg['FromUserName'].startswith('@@'):
qun = itchat.search_chatrooms(userName=msg['FromUserName'])
sendernick = qun['NickName'] + '(群)' + msg['ActualNickName']
else:
senderuser = itchat.search_friends(userName=msg['FromUserName'])
if senderuser is None:
filename,
parentnotebook=nbguid)
noteguid = note.guid
setcfpoptionvalue('evercode', nbname, f'{filename}_guid', noteguid)
ennotetime = 0
setcfpoptionvalue('evercode', nbname, filename, f"{ennotetime}")
noteguid = getcfpoptionvalue('evercode', nbname, f'{filename}_guid')
ennotetime = getcfpoptionvalue('evercode', nbname, filename)
print(nbname, filename, ennotetime, noteguid)
filetimenow = os.stat(fn).st_mtime
if filetimenow > ennotetime:
with open(fn) as f:
fcontent = f.read()
outlst = list()
outlst.extend(re.findall(ptnfiledesc, fcontent))
outlst.extend(["*" * 40])
for item in re.findall(ptnnamedesc, fcontent):
outlst.extend([x.strip() for x in item])
outlst.extend(['-' * 20 + "\n"])
cleanoutlst = [x for x in outlst if len(x) > 0]
print("\n".join(cleanoutlst))
imglist2note(get_notestore(), [], noteguid, filename,
"<pre>" + "\n".join(cleanoutlst) + "</pre>")
setcfpoptionvalue('evercode', nbname, filename, f"{filetimenow}")
# %%
# %%
if __name__ == '__main__':
checknewthenupdatenote()
def planfenxifunc():
# global dbpathworkplan
cnxp = lite.connect(dbpathworkplan)
tablename_updated = 'planupdated'
errorshowstr = '更新业务日志汇总笔记时出现错误。'
try:
# fetchattendance_from_evernote()
note_store = get_notestore()
# 从印象笔记中取得在职业务列表
persons = BeautifulSoup(
note_store.getNoteContent('992afcfb-3afb-437b-9eb1-7164d5207564'),
'html.parser')
# print(persons)
pslist = list()
patn = re.compile('\s*[,，]\s*')
for ddiv in persons.find_all('div'):
psitem = re.split(patn, ddiv.get_text())
if len(psitem) == 3:
atom = list()
atom.append(psitem[0])
atom.append(pd.to_datetime(psitem[1]))
atom.append(pd.to_datetime(psitem[2]))
pslist.append(atom)
personsdf = pd.DataFrame(pslist,
columns=['name', 'shanggang', 'ligang'])
personsdfzaigang = personsdf[pd.isnull(personsdf['ligang'])]
# print(personsdfzaigang)
persons = list(personsdfzaigang['name'])
print(persons)
evernoteapijiayi()
# 更新相应数据表内容
updatedb_workplan(note_store, persons)
# 从数据表中查询日志更新记录，只针对在职业务人员
# 组装sql语句使用的set，形如('梅富忠','陈益','周莉')
personsetstr = '('
for pr in ['\'' + x + '\'' for x in persons]:
personsetstr += pr + ','
personsetstr = personsetstr[:-1] + ')'
# print(personsetstr)
sqlstr = f'select distinct * from {tablename_updated} where name in {personsetstr} ' \
f'order by date desc, name, updatedtime desc'
dfsource = pd.read_sql(sqlstr,
cnxp,
parse_dates=['date', 'updatedtime'])
# 通过ini中记录的有效日志条目（以日期为单位）数量判断是否有有效的日志更新条目
updatablelist = []
for person in persons:
planitemscount = dfsource.loc[dfsource.name == person].shape[0]
print(f'{person}日志更新记录有{planitemscount}条')
if cfpworkplan.has_option('业务计划总结itemscount', person):
updatable = planitemscount > cfpworkplan.getint(
'业务计划总结itemscount', person)
else:
updatable = True
updatablelist.append(updatable)
print(f'{persons}，{updatablelist}')
updatableall = False
for i in range(len(updatablelist)):
updatableall |= updatablelist[i]
if updatableall:
break
if updatableall: # or True:
dayscount = cfpworkplan.getint('业务计划总结dayscount', 'count')
today = pd.to_datetime(datetime.datetime.today().strftime('%F'))
workdays = isworkday([today - datetime.timedelta(days=60)],
'全体',
fromthen=True)
# print(workdays)
dtqishi = workdays[workdays.work].groupby(
'date').count().sort_index(ascending=False).index[dayscount -
1]
print(f'最近{dayscount}个工作日（公司）的起始日期：{dtqishi}')
# dtqishi = today - datetime.timedelta(days=dayscount)
dtqujian = pd.date_range(dtqishi, today, freq='D').values
dfqujian = pd.DataFrame()
for person in persons:
resultlist = isworkday(dtqujian, person)
dftmp = pd.DataFrame(
resultlist,
columns=['date', 'name', 'work', 'xingzhi', 'tianshu'])
shanggangdate = personsdf[personsdf.name ==
person]['shanggang'].values[0]
dftmp = dftmp[dftmp.date >= shanggangdate]
if dfqujian.shape[0] == 0:
dfqujian = dftmp
else:
dfqujian = dfqujian.append(dftmp)
dfsourcequjian = dfsource[dfsource.date >= dtqishi]
# print(dfqujian)
# print(dfsourcequjian)
dfresult = pd.merge(dfqujian,
dfsourcequjian,
on=['date', 'name'],
how='outer')
# dflast = dfresult[dfresult.work == True].sort_values(['date', 'name'], ascending=[False, True])
dflast = dfresult.sort_values(['date', 'name'],
ascending=[False, True])
df = dflast.loc[:, [
'name', 'date', 'contentlength', 'updatedtime', 'xingzhi',
'tianshu'
]]
df2show = df.drop_duplicates(['name', 'date'], keep='last')
print(f'去重前记录数为：{df.shape[0]}，去重后记录是：{df2show.shape[0]}')
df2show.columns = ['业务人员', '计划日期', '内容字数', '日志更新时间', '出勤', '天数']
# print(df2show)
def hege(a, b, c):
freelist = ['请假']
if c in freelist:
return f'{c}'
if pd.isnull(b):
# print(f'{a}\t{b}')
return '未交'
if pd.to_datetime(a) > pd.to_datetime(b):
return '准时'
else:
return '延迟'
col_names = list(df2show.columns)
col_names.append('提交')
df2show = df2show.reindex(columns=col_names)
df2show.loc[:, ['提交']] = df2show.apply(
lambda x: hege(x.计划日期, x.日志更新时间, x.出勤), axis=1)
print(df2show[pd.isnull(df2show.日志更新时间)])
df2show['计划日期'] = df2show['计划日期'].apply(
lambda x: x.strftime('%m-%d'))
df2show['日志更新时间'] = df2show['日志更新时间'].apply(
lambda x: x.strftime('%m-%d %H:%M') if pd.notnull(x) else '')
df2show['内容字数'] = df2show['内容字数'].apply(lambda x: str(int(x))
if pd.notnull(x) else '')
df2show = df2show.loc[:, [
'业务人员', '计划日期', '内容字数', '日志更新时间', '提交', '出勤'
]]
freeday = ['周日']
df2show = df2show[df2show['出勤'].map(lambda x: x not in freeday)]
# print(df2show)
for ix in df2show.index:
yanchiweitijiao = ['延迟', '未交']
queqin = ['请假']
if df2show.loc[ix]['出勤'] in queqin:
for clname in df2show.columns:
df2show.loc[ix, clname] = df2show.loc[ix, clname].join(
['<span style=\"color:gray\">', '</span>'])
elif df2show.loc[ix]['提交'] in yanchiweitijiao:
for clname in df2show.columns:
df2show.loc[ix, clname] = df2show.loc[ix, clname] \
.join(['<span style=\"color:red\">', '</span>'])
df2show = df2show.loc[:, ['业务人员', '计划日期', '内容字数', '日志更新时间', '提交']]
# descdb(df2show)
neirong = tablehtml2evernote(df2show,
'业务工作日志提交情况汇总（最近%d工作日）' % dayscount,
withindex=False)
neirong = html.unescape(neirong)
# print(neirong)
guid = cfpworkplan.get('业务计划总结guid', '汇总')
huizongnoteupdatedtime = datetime.datetime.now().strftime('%F %T')
imglist2note(note_store, [], guid,
'业务工作日志提交情况汇总（%s）' % huizongnoteupdatedtime, neirong)
for person in persons:
dfperson = dfsource.loc[dfsource.name == person]
planitemscount = dfperson.shape[0]
if cfpworkplan.has_option('业务计划总结itemscount', person):
updatable = planitemscount > cfpworkplan.getint(
'业务计划总结itemscount', person)
else:
updatable = True
if updatable:
if dfperson.shape[0] == 0:
continue
log.info('%s的业务日志条目数增加至%d，日志更新表中最新日期为：%s。' %
(person, planitemscount,
str(dfperson.iloc[0]['nianyueri'])))
cfpworkplan.set('业务计划总结itemscount', person,
'%d' % planitemscount)
cfpworkplan.write(open(iniworkplanpath, 'w', encoding='utf-8'))
except OSError as ose:
if ose.errno == 10054:
log.critical(f'远程主机发脾气了，强行断线。')
log.critical(f'{errorshowstr}Windows错误：{ose}')
except AttributeError as ae:
log.critical(f'{errorshowstr}属性错误：{ae}')
except Exception as eee:
log.critical(f'{errorshowstr}{eee}')
# raise eee
finally:
cnxp.close()
if numinnotedesc == numatlocal == len(finditems):
log.info(f"《{notelisttitle}》中数量无更新，跳过。")
return finditems
findnotelstwithgtu = findnotefromnotebook(notebookguid,
f"wcitems_{name}_",
notecount=1000)
findnotelst = [[nt[1], nt[0]] for nt in findnotelstwithgtu]
findnotelst = sorted(findnotelst, key=lambda x: x[0], reverse=True)
nrlst[0] = re.sub("\t(-?\d+)", "\t" + f"{len(findnotelst)}", nrlst[0])
nrlst[1] = "\n".join(["\t".join(sonlst) for sonlst in findnotelst])
nrlst[
2] = f"更新于{timenowstr}，来自于主机：{getdevicename()}{loginstr}" + f"\n{nrlst[2]}"
imglist2note(get_notestore(), [],
notelistguid,
notelisttitle,
neirong="<pre>" + "\n---\n".join(nrlst) + "</pre>",
parentnotebookguid=notebookguid)
numatlocal = len(finditems)
setcfpoptionvalue('everwcitems', "common", f"{name}_num_at_local",
str(numatlocal))
return findnotelst
# %% [markdown]
# ### def merge2note(dfdict)
# %%
@timethis
def findnewthenupdatenote(qrfile: str,
cfpfile,
cfpsection,
pre,
desc,
sendmail=False,
sendsms=False):
"""
发现文件内容更新就更新至相应笔记，并视情况发送短信提醒
:param qrfile: 文件名称
:param cfpfile: 配置文件名称
:param cfpsection: 配置文件中所属片段名称
:param pre: 前缀名，用于区分不同的项目
:param desc: 项目描述
:param sendsms: 是否同时发送短信进行提醒的开关
:return:
"""
qrfile = os.path.abspath(qrfile)
if os.path.exists(qrfile):
# print(qrfile)
# print(os.path.abspath(qrfile))
qrfiletimeini = getcfpoptionvalue(cfpfile, cfpsection,
f'{pre}filetime')
# print(qrfiletimeini)
qrfilesecsnew = os.stat(qrfile).st_mtime
qrfiletimenew = str(qrfilesecsnew)
if (qrfiletimeini :=
getcfpoptionvalue(cfpfile, cfpsection,
f'{pre}filetime')) is not None: # or True:
qrftlst = str(qrfiletimeini).split(
',') # 挂一道是为了确保单一数值时getcfpoptionvalue返回的float转换为str方便split
print(
f"{timestamp2str(qrfilesecsnew)}\t{timestamp2str(float(qrftlst[0]))}\t{qrfile}"
)
if (qrfiletimenew > qrftlst[0]): # or True:
qrtstr = f"{qrfiletimenew},{qrfiletimeini}"
qrtstrlst = [x for x in qrtstr.split(',') if len(x) != 0]
qrtstrflst = [timestamp2str(float(x)) for x in qrtstrlst][:30]
(*full, ext) = getfilepathnameext(qrfile)
print(full)
print(ext)
ext = ext.lower() # 文件扩展名强制小写，缩小判断目标池
targetimglst = [qrfile]
filecontent = str(qrfile)
if ext in ['.png', '.jpg', 'bmp', 'gif']:
targetstr = f'<pre>--------------\n' + '\n'.join(
qrtstrflst) + '</pre>'
elif ext in ['.log']:
filecontentinlog = open(
qrfile, 'r',
encoding='utf-8').read() # 指定编码，解决Windows系统下的编码问题
# print(filecontent)
ptn = re.compile(
"(\\d{4}-\\d{2}-\\d{2}\\s\\d{2}:\\d{2}:\\d{2},\\d{3})\\s",
re.DOTALL)
# findptnlst = re.findall(ptn, filecontent)
findptnlst = re.split(ptn, filecontentinlog)[::-1] # 倒置
findptnlstcount = int((len(findptnlst) - 1) / 2)
loglimit = getinivaluefromnote('everlog', 'loglimit')
if loglimit > findptnlstcount:
actuallinesnum = findptnlstcount
else:
actuallinesnum = loglimit
findptnlst.insert(
0,
f"共有{findptnlstcount}行，实际展示最近时间的{actuallinesnum}行\n")
filecontent = '\n'.join(findptnlst[:(actuallinesnum * 2 + 1)]).replace('<', '《')\
.replace('>', '》').replace('=', '等于').replace('&', '并或')
filecontent = re.sub('<', '《', filecontent)
if len(filecontent) > 500000:
filecontent = filecontent[:500000] + "\n\n\n太长了，切成500k\n\n\n"
targetstr = f'<pre>{filecontent}</pre><pre>--------------\n' + '\n'.join(
qrtstrflst) + '</pre>'
else:
filecontent = open(qrfile, 'rb').read()
targetstr = f'<pre>--------------\n' + '\n'.join(
qrtstrflst) + '</pre>'
if (qrnoteguid := getinivaluefromnote(
cfpsection, f"{pre}{getdeviceid()}")) is not None:
# print(qrnoteguid)
# print(targetstr)
imglist2note(
note_store, targetimglst, qrnoteguid,
f"{getinivaluefromnote('device', getdeviceid())} {desc}",
targetstr)
else:
log.critical(f"{pre}{getdeviceid()}在云端笔记配置文件中未设置，退出！")
return
if sendmail:
mailfun(qrfile)
if sendsms:
termux_sms_send(f"{desc}\t有新的更新，请尽快处置。")
setcfpoptionvalue(cfpfile, cfpsection, f'{pre}filetime',
qrtstr)
itemnew = [
f'{ip}\t{wifi}\t{wifiid}\t{tun}\t{nowstr}']
itemnew.extend(itemnewr)
# print(itemnew)
readinifromnote()
device_name = getcfpoptionvalue('everinifromnote', 'device', device_id)
if not device_name:
device_name = device_id
setcfpoptionvalue(namestr, device_id, 'ipr', ip)
setcfpoptionvalue(namestr, device_id, 'wifir', str(wifi))
setcfpoptionvalue(namestr, device_id, 'wifiidr', str(wifiid))
setcfpoptionvalue(namestr, device_id, 'tunr', str(tun))
start = datetime.datetime.now().strftime('%F %T')
setcfpoptionvalue(namestr, device_id, 'start', start)
# 把笔记输出放到最后，避免更新不成功退出影响数据逻辑
imglist2note(get_notestore(), [], guid,
f'服务器_{device_name}_ip更新记录', "<pre>" + "\n".join(itemnew) + "</pre>")
if __name__ == '__main__':
if not_IPython():
log.info(
f'开始运行文件\t{__file__}\t……\t{sys._getframe().f_code.co_name}\t{sys._getframe().f_code.co_filename}')
if (bsdict := battery_status())['percentage'] >= 20:
showiprecords()
else:
log.warning("手机电量低于20%，跳过ip轮询")
# print(f"{self.__class__.__name__}")
if not_IPython():
log.info(f'文件\t{__file__}\t执行完毕')
def kuangjiachutu(notefenbudf,
noteleixingdf,
df,
xiangmu,
cnxk,
pinpai,
cum=False):
# global log
dfquyu = pd.read_sql('select * from quyu', cnxk, index_col='index')
dfleixing = pd.read_sql('select * from leixing', cnxk, index_col='index')
fenbulist = list(notefenbudf.index)
# print(fenbulist)
leixinglist = ['终端客户', '连锁客户', '渠道客户', '直销客户', '公关客户', '其他客户', '全渠道']
if df.shape[0] == 0:
log.info('%s数据查询为空，返回' % pinpai)
return
for leixingset in leixinglist:
if leixingset == '全渠道':
leixing = tuple(dfleixing['编码'])
else:
leixing = tuple((dfleixing[dfleixing['类型'] == leixingset])['编码'])
if len(leixing) == 1:
leixing = tuple(list(leixing) + ['U'])
if leixingset == '终端客户':
for fenbuset in fenbulist:
if fenbuset == '所有分部':
fenbu = tuple(set(dfquyu['区域']))
else:
fenbu = tuple((dfquyu[dfquyu['分部'] == fenbuset])['区域'])
log.debug(
str(df['日期'].max()) + '\t：\t' + leixingset + '\t，\t' +
fenbuset)
dfs = df[(df.类型.isin(leixing).values == True)
& (df.区域.isin(fenbu).values == True)]
if dfs.shape[0] == 0:
log.info('在客户类型为“' + str(leixingset) + '”且所在位置为“' +
fenbuset + '”时无数据！')
continue # 对应fenbuset
if cum:
dfin = dfs.groupby('日期').sum()
else:
dfin = getgroupdf(dfs, xiangmu)
imglist = dfin2imglist(dfin,
cum=cum,
leixingset=leixingset,
fenbuset=fenbuset,
pinpai=pinpai)
htable = dfin[dfin.index > (
dfin.index.max() + pd.Timedelta(days=-365))].sort_index(
ascending=False).to_html().replace(
'class="dataframe"', '')
imglist2note(get_notestore(),
imglist,
notefenbudf.loc[fenbuset]['guid'],
notefenbudf.loc[fenbuset]['title'],
neirong=htable)
else:
log.debug(str(df['日期'].max()) + '\t：\t' + leixingset)
dfs = df[df.类型.isin(leixing).values == True]
if dfs.shape[0] == 0:
log.info('在客户类型“' + str(leixingset) + '”中时无数据！')
continue
if cum:
dfin = dfs.groupby('日期').sum()
dfin = pd.DataFrame(dfin, index=pd.to_datetime(dfin.index))
else:
dfin = getgroupdf(dfs, xiangmu)
imglist = dfin2imglist(dfin,
cum=cum,
leixingset=leixingset,
pinpai=pinpai)
targetlist = list(noteleixingdf.index)
if leixingset in targetlist:
htable = dfin[dfin.index > (
dfin.index.max() + pd.Timedelta(days=-365))].sort_index(
ascending=False).to_html().replace(
'class="dataframe"', '')
imglist2note(get_notestore(),
imglist,
noteleixingdf.loc[leixingset]['guid'],
noteleixingdf.loc[leixingset]['title'],
neirong=htable)
dfnotenameg['count'] = dfnotename.groupby(['address'
]).count()['atime']
dfnotenameg.sort_values(['atime'], ascending=False, inplace=True)
wifitongjinametablestr = tablehtml2evernote(
dfnotenameg, 'WIFI（特定）统计')
wifijilutablestr = tablehtml2evernote(dfnotename.head(50),
'WIFI（特定）连接记录')
dfwifiall.reset_index(inplace=True)
dfnoteallg = pd.DataFrame(
dfwifiall.groupby(['name']).max()['atime'])
dfnoteallg['count'] = dfwifiall.groupby(['name']).count()['atime']
dfnoteallg.sort_values(['atime'], ascending=False, inplace=True)
wifitongjialltablestr = tablehtml2evernote(dfnoteallg,
'WIFI（全部）统计')
imglist2note(
notestore, [], '971f14c0-dea9-4f13-9a16-ee6e236e25be',
'WIFI连接统计表', wifitongjinametablestr + wifijilutablestr +
wifitongjialltablestr)
setcfpoptionvalue('everlife', 'wifi', 'itemnumber',
'%d' % dfwificount)
except Exception as eee:
log.critical('更新WIFI连接统计笔记时出现错误。%s' % str(eee))
return dfout
# %%
def itemstodf(itemstr, noteinfos):
itemstrjoin = '\n'.join(itemstr)
# 生成英文的月份列表，组装正则模式，以便准确识别
yuefenlist = [
def jinchustat(jinchujiluall, noteinfos):
"""
读取ifttt自动通过gmail转发至evernote生成的地段进出记录，统计作图展示
:rtype: Null
"""
address = noteinfos[0]
destguid = noteinfos[2]
notetitle = noteinfos[3]
# print(destguid, end='\t')
# print(notetitle)
dfjc = jinchujiluall[jinchujiluall.address == address][['entered']]
# descdb(dfjc)
dfjc['atime'] = dfjc.index
dfjc['nianyue'] = dfjc['atime'].apply(
lambda x: datetime.datetime.strftime(x, '%Y%m'))
dfjc['小时'] = dfjc['atime'].apply(
lambda x: datetime.datetime.strftime(x, '%H'))
# print(dfjc.tail(10))
dfff = dfjc[dfjc.entered == False].groupby(
['nianyue', '小时'])['entered'].count() # 以离开为进出标准
dffu = dfff.unstack(fill_value=0)
# print(dffu)
# 补满小时数和年月份
for i in range(24):
colname = '%02d' % i
if colname not in list(dffu.columns):
dffu[colname] = 0
lst = sorted(list(dffu.columns))
dffu = dffu[lst]
dfrange = pd.date_range(dfjc.index.min(),
dfjc.index.max() + MonthBegin(),
freq='M')
ddrange = pd.Series(dfrange).apply(
lambda x: datetime.datetime.strftime(x, "%Y%m"))
dffu = dffu.reindex(ddrange, fill_value=0)
# 列尾行尾增加汇总
dffu['行合计'] = dffu.apply(lambda x: x.sum(), axis=1)
dffu.loc['列合计'] = dffu.apply(lambda x: x.sum())
# print(dffu)
lastestitems = tablehtml2evernote(dfjc[['entered']].head(5),
notetitle.replace('统计图表', '记录'))
stattable = tablehtml2evernote(dffu.sort_index(ascending=False), notetitle)
hout = lastestitems + stattable
# print(h)
# print(hout)
# 删掉列尾行尾的合计，并时间序列化index，为plot做准备
del dffu['行合计']
dffu = dffu.iloc[:-1]
dffu['nianyue'] = dffu.index
dffu['nianyue'] = dffu['nianyue'].apply(
lambda x: pd.to_datetime("%s-%s-01" % (x[:4], x[-2:])))
dffu.index = dffu['nianyue']
del dffu['nianyue']
# descdb(dffu)
plt.figure()
ax1 = plt.subplot2grid((5, 2), (0, 0), colspan=2, rowspan=2)
# print(dffu.sum())
ax1.plot(dffu.sum(axis=1).T)
ax2 = plt.subplot2grid((5, 2), (3, 0), colspan=2, rowspan=2)
# print(dffu.sum(axis=1).T)
ax2.plot(dffu.sum())
imglist = []
# plt.show()
# global dirmainpath
img_jinchu_path = str(dirmainpath / 'img' / 'jichubyfgongsi.png')
plt.savefig(img_jinchu_path)
imglist.append(img_jinchu_path)
# print(imglist)
plt.close()
imglist2note(get_notestore(), imglist, destguid, notetitle, hout)
def callsms2df(itemstr):
# 读取老记录
# global dirmainpath
with open(str(dirmainpath / 'data' / 'ifttt' / 'smslog_gmail_all.txt'),
'r',
encoding='utf-8') as fsms:
items = [line.strip() for line in fsms if len(line.strip()) > 0]
itemstr = itemstr + items
log.info('电话短信记录有%d条。' % len(itemstr))
itemstrjoin = '\n'.join(itemstr)
pattern = re.compile(
r'^(.*?)(?:(\w+ \d+, \d{4} at \d{2}:\d{2}[A|P]M)|(\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}\+08:00))(.*?)$',
re.U | re.M)
slices = re.split(pattern, itemstrjoin)
slices = slices[1:]
# print(len(slices))
# for i in range(15):
# print("%d\t%s" %(i,slices[i]))
# pattern = re.compile(r'^(?:\w*?)(?:\s*?)@SMS \+(?:\s+)(\w+ \d+, \d{4} at \d{2}:\d{2}[A|P]M)(?:\s*?)，'
# r'(.*?)(?:\s+)(.*?)(?:\s+)([\d|-]+)(?:.*?)(?:\s+)(\d+)(?:\s+)(?:.*?)$', re.U|re.M)
# slices = re.split(pattern, itemstr)
# print(len(slices))
# for i in range(30):
# print(slices[i].strip())
#
split_items = list()
for i in range(int(len(slices) / 5)):
item = list()
# print(slices[i*5:i*5+5])
itemtimestr = slices[i * 5 + 1]
if itemtimestr is None:
itemtimestr = slices[i * 5 + 2].strip()
itemtime = datetime.datetime.strptime(itemtimestr,
'%Y-%m-%d %H:%M:%S+08:00')
# itemtime = pd.to_datetime(itemtimestr)
else:
itemtime = datetime.datetime.strptime(slices[i * 5 + 1].strip(),
'%B %d, %Y at %I:%M%p')
itemname = ''
itemnumber = ''
itemshuxing = '电话'
itemreceived = True
itemcontentstr = slices[i * 5 + 3].strip()
itemcontent = itemcontentstr
patternsms = re.compile(r'：(.*)，(\w*)\|\|\| (\d+)', re.U)
splititem = re.split(patternsms, itemcontentstr)
if len(splititem) == 5:
# ：抱歉 明天见，||| 13554015554
# ['', '抱歉 明天见', '', '13554015554', '']
itemcontent = splititem[1]
itemname = splititem[2]
itemnumber = splititem[3]
itemshuxing = '短信'
if len(itemname) == 0:
itemnamestr = slices[i * 5 + 0].strip()
if itemnamestr.endswith('@SMS +'):
[itemname, *__] = itemnamestr.split('@SMS +')
patterncall7 = re.compile(
'^，?(?:(电话打给)|(电话来自))\s+(?:(.+?)\s+)?(\d+)，时长\s+(\d+)\s+秒$',
re.U)
splititem = re.split(patterncall7, itemcontentstr)
# print(len(splititem))
# splititem = itemcontentstr.split()
if len(splititem) == 7:
# ，电话打给 陈益 15623759390，时长 42 秒
# ['', '电话打给', None, '陈益', '15623759390', '42', '']
# ，电话来自 18671454792，时长 29 秒
# ['', None, '电话来自', None, '18671454792', '29', '']
# ，电话打给 黄兆钢 15337282888，时长 42 秒
# ['', '电话打给', None, '黄兆钢', '15337282888', '42', '']
# ，电话来自 白天军 13949452849，时长 35 秒
# ['', None, '电话来自', '白天军', '13949452849', '35', '']
itemshuxing = '电话'
itemname = splititem[3]
itemnumber = splititem[4]
itemcontent = splititem[5]
if splititem[1]:
itemreceived = False
# else:
patterncall5 = re.compile('(错过来电)\s+(?:(.+?)\s+)?(\d+)', re.U)
splititem = re.split(patterncall5, itemcontentstr)
if len(splititem) == 5:
# 错过来电 曹树强 13971167977
# ['', '错过来电', '曹树强', '13971167977', '']
# 错过来电 18903752832
# ['', '错过来电', None, '18903752832', '']
itemshuxing = '电话'
itemname = splititem[2]
itemnumber = splititem[3]
itemreceived = True
itemcontent = None
elif itemnamestr.endswith('的通话记录'):
[_, itemname, *__] = itemnamestr.split()
patterncall6 = re.compile(
r'，(?:(\+?\d+)s\s\(\d{2}:\d{2}:\d{2}\))?(\+?\d+)\s\((?:(已接来电)|(已拨电话)|(未接来电))\)'
)
splititem = re.split(patterncall6, itemcontent)
if len(splititem) == 7:
itemshuxing = '电话'
itemnumber = splititem[2]
itemcontent = splititem[1]
if splititem[4] is not None:
itemreceived = False
else:
pass
elif itemnamestr.startswith('SMS with'):
itemshuxing = '短信'
[*__, itemname] = itemnamestr.split()
if itemcontent.startswith('收到'):
itemreceived = True
weiyi = 4
elif itemcontent.startswith('发出'):
itemreceived = False
weiyi = 4
else:
weiyi = 1
itemcontent = itemcontentstr[weiyi:]
# print(itemname + '\t' + str(itemtime) + '\t' + itemcontent)
# print(splititem)
item.append(itemtime)
if itemname is None:
itemname = itemnumber
item.append(itemname)
item.append(itemnumber)
item.append(itemshuxing)
item.append(itemreceived)
item.append(itemcontent)
# print(slices[i*5].strip()+'\t'+slices[i*5+1].strip()+'\t'+slices[i*5+2].strip()+'\t'+slices[i*5+4].strip())
split_items.append(item)
dfnoti = pd.DataFrame(split_items,
columns=('atime', 'name', 'number', 'shuxing',
'received', 'content'))
log.info('电话短信记录整理后有%d条。' % dfnoti.shape[0])
dfnoti.drop_duplicates(inplace=True)
log.info('电话短信记录去重后有%d条。' % dfnoti.shape[0])
dfnoti.sort_values(['atime'], ascending=False, inplace=True)
# dfnoti.index = dfnoti['time']
# del dfnoti['time']
dfout = dfnoti
# b3a3e458-f05b-424d-8ec1-604a3e916724
try:
notestore = get_notestore()
cfplife, inilifepath = getcfp('everlilfe')
if cfplife.has_option('allsets', 'callsms'):
ready2update = dfout.shape[0] > cfplife.getint(
'allsets', 'callsms')
else:
ready2update = True
if ready2update:
xiangmu = '电话短信'
imglist2note(notestore, [], cfplife.get('notesguid', xiangmu),
xiangmu, tablehtml2evernote(dfout[:1000], xiangmu))
cfplife.set('allsets', 'callsms', '%d' % dfout.shape[0])
cfplife.write(open(inilifepath, 'w', encoding='utf-8'))
except Exception as eee:
log.critical('更新人脉记录笔记时出现错误。%s' % str(eee))
return dfout
def dingdanxiaoshouyuedufenxi(dforder):
dfall = dforder.loc[:, :]
dfall['年月'] = dfall['日期'].apply(lambda x: x.strftime('%Y%m'))
# descdb(dfall)
zuijinchengjiaori = max(dfall['日期'])
print(f'数据集最新日期：{zuijinchengjiaori.strftime("%F")}')
if cfpdata.has_option('ordersaleguidquyu', '数据最新日期'):
daterec = pd.to_datetime(cfpdata.get('ordersaleguidquyu', '数据最新日期'))
if daterec >= zuijinchengjiaori: # and False:
log.info(f'订单数据集无更新，返回')
return
zuiyuanriqi = zuijinchengjiaori + datetime.timedelta(days=-365)
zuiyuanyuechu = pd.to_datetime(f"{zuiyuanriqi.strftime('%Y-%m')}-01")
print(zuiyuanyuechu.strftime("%F"))
dfkehu = dfall.groupby(['单位编号', '客户名称', '区域', '类型'], as_index=False).count()
dfkehu.drop_duplicates(['单位编号'], keep='last', inplace=True)
dfkehuzhengli = dfkehu[['单位编号', '客户名称', '区域', '类型']]
dfkehuzhengli.index = dfkehuzhengli['单位编号']
del dfkehuzhengli['单位编号']
# descdb(dfkehuzhengli)
dsquyuzuixinriqi = pd.Series(dfall[dfall.日期 == zuijinchengjiaori].groupby('区域').count().index.values)
# print(dsquyuzuixinriqi.values)
dfyuetongji = dfall[dfall.日期 >= zuiyuanyuechu].groupby(by=['年月', '单位编号'], as_index=False, sort=True)['订单金额'].sum()
dfyuetongji['订单金额'] = dfyuetongji['订单金额'].astype(int)
# descdb(dfyuetongji)
dfpivot = dfyuetongji.pivot(index='单位编号', values='订单金额', columns='年月')
dfpivot = pd.DataFrame(dfpivot)
cls = list(dfpivot.columns)
# print(cls)
# for cl in cls:
# dfpivot[cl] = dfpivot[cl].astype(int)
dfpivot['单位编号'] = dfpivot.index
dfpivot['客户名称'] = dfpivot['单位编号'].apply(lambda x: dfkehuzhengli.loc[x][0])
dfpivot['区域'] = dfpivot['单位编号'].apply(lambda x: dfkehuzhengli.loc[x][1])
dfpivot['类型'] = dfpivot['单位编号'].apply(lambda x: dfkehuzhengli.loc[x][2])
clsnew = ['客户名称', '区域', '类型'] + cls
# print(clsnew)
dfpivot = dfpivot.loc[:, clsnew]
dfpivot['成交月数'] = dfpivot.apply(lambda x: x[-13:].count(), axis=1)
def shouciyuefen(xx):
for i in range(len(xx)):
# print(xx[i])
if xx[i] > 0:
return i
else:
return 12
dfpivot['首次成交月份'] = dfpivot.apply(lambda x: clsnew[shouciyuefen(x[3:16]) + 3], axis=1)
dfpivot['首交月数'] = dfpivot.apply(lambda x: 13 - shouciyuefen(x[3:16]), axis=1)
def zuijinyuefen(xx):
for i in range(len(xx) - 1, -1, -1):
# print(f'{xx[i]}\t{i}')
if xx[i] > 0:
return i
else:
return 12
dfpivot['最近成交月份'] = dfpivot.apply(lambda x: clsnew[zuijinyuefen(x[3:16]) + 3], axis=1)
dfpivot['尾交月数'] = dfpivot.apply(lambda x: 13 - zuijinyuefen(x[3:16]), axis=1)
dfpivot['有效月数'] = dfpivot['首交月数'] - dfpivot['尾交月数'] + 1
dfpivot.fillna(0, inplace=True)
dfpivot['年总金额'] = dfpivot.apply(lambda x: sum(x[3:16]), axis=1)
# print(dfpivot.iloc[0, :])
dfpivot['年总金额'] = dfpivot['年总金额'].astype(int)
def youxiaoyuejun(jine, yueshu):
if yueshu == 0:
return 0
else:
return jine / yueshu
dfpivot['有效月均'] = dfpivot.apply(lambda x: youxiaoyuejun(x.年总金额, x.有效月数), axis=1)
dfpivot['有效月均'] = dfpivot['有效月均'].astype(int)
dfpivot.sort_values(['区域', '有效月均'], ascending=[True, False], inplace=True)
# descdb(dfpivot)
# clsnewnew = clsnew + ['有效月均', '年总金额']
# dfout = dfpivot[(dfpivot.有效月均 > 300) | (dfpivot.首交月数 < 5)]
# print(dfout[dfout.首交月数 < 5])
dfout = dfpivot
# dfshow = dfout.loc[:, clsnewnew]
dfshow = dfout.loc[:, :]
dfshow.fillna(0, inplace=True)
for cl in cls:
dfshow[cl] = dfshow[cl].astype(int)
# print(dfshow[dfshow.类型 == 'I'])
# descdb(dfshow)
cnx = lite.connect(dbpathworkplan)
# dfshow.to_sql('tmptable', cnx, index=True, if_exists='replace')
cursor = cnx.cursor()
cursor.execute(f'attach database \'{dbpathquandan}\' as \'C\'')
dfquyu = pd.read_sql('select * from C.quyu', cnx, index_col='index')
dfquyu.drop_duplicates(['区域'], keep='first', inplace=True)
dfquyu.index = dfquyu['区域']
del dfquyu['区域']
# descdb(dfquyu)
dfleixing = pd.read_sql('select * from C.leixing', cnx, index_col='index')
dfleixing.index = dfleixing['编码']
del dfleixing['编码']
# descdb(dfleixing)
dfshow['区域名称'] = dfshow['区域'].apply(lambda x: dfquyu.loc[x][0])
# print(dfshow[dfshow.类型 == '0'])
dfshow['类型小类'] = dfshow['类型'].apply(lambda x: dfleixing.loc[x][0])
dfshow['类型大类'] = dfshow['类型'].apply(lambda x: dfleixing.loc[x][1])
# descdb(dfshow)
cnx.close()
writer = pd.ExcelWriter(str(dirmainpath / 'data' / '客户销售总表.xlsx'))
dfzhongduan = dfshow[dfshow.类型大类 == '终端客户']
# dfzhongduan.to_excel('test4kehuquandan.xlsx')
# print(dfzhongduan.dtypes)
# print(dfzhongduan.head(5))
pd.DataFrame(dfzhongduan).to_excel(writer, sheet_name='客户销售全单')
log.info('成功输出《客户销售全单》')
writer.close()
# descdb(dfzhongduan)
targetlist = list()
dfzdall = dfzhongduan.loc[:, :]
# descdb(dfzdall)
notestore = get_notestore()
quyuset = set(dsquyuzuixinriqi.apply(lambda x: dfquyu.loc[x][0]).values)
print(quyuset)
# quyuset = set(list(dfzdall['区域名称']))
for qy in quyuset:
dfslice = dfzdall[dfzdall.区域名称 == qy]
dfslicesingle = dfslice.loc[:, :]
del dfslicesingle['区域名称']
# descdb(dfslicesingle)
print(qy, end='\t')
print(dfslicesingle.shape[0], end='\t')
# descdb(dfslicesingle)
if cfpdata.has_option('guidquyunb', qy):
nbguid = cfpdata.get('guidquyunb', qy)
else:
try:
notebook = ttypes.Notebook()
notebook.name = qy
notebook = notestore.createNotebook(notebook)
nbguid = notebook.guid
cfpdata.set('guidquyunb', qy, nbguid)
cfpdata.write(open(inidatanotefilepath, 'w', encoding='utf-8'))
except OSError as eeeee:
nbguid = None
log.critical(f'创建《{qy}》笔记本时出现错误。{eeeee}')
print(nbguid, end='\t')
if cfpdata.has_option('ordersaleguidquyu', qy + 'guid'):
ntguid = cfpdata.get('ordersaleguidquyu', qy + 'guid')
else:
try:
note = ttypes.Note()
note.title = qy + "订单金额年度分析"
note.content = '<?xml version="1.0" encoding="UTF-8"?>' \
'<!DOCTYPE en-note SYSTEM "http://xml.evernote.com/pub/enml2.dtd">'
note.content += '<en-note>专营休闲美食</en-note>'
note.notebookGuid = nbguid
note = notestore.createNote(note)
evernoteapijiayi()
ntguid = note.guid
cfpdata.set('ordersaleguidquyu', qy + 'guid', ntguid)
cfpdata.write(open(inidatanotefilepath, 'w', encoding='utf-8'))
except OSError as ee:
ntguid = None
log.critical(f'创建《{qy}订单金额年度分析》笔记时出现错误。{ee}')
print(ntguid)
target = list()
target.append(qy)
target.append(ntguid)
target.append(dfslicesingle)
targetlist.append(target)
# descdb(dfshow[dfshow.index.str.find('XF') >= 0])
lqzlist = [['连锁客户', '0e8ba322-4874-4627-a6de-13c69fffc88d'],
['渠道客户', '4AC03027-5929-415B-9711-0A8170263189'.lower()],
['直销客户', 'B0731D74-C268-417E-A8B7-7BE3EE590FAE'.lower()]
]
for [mingmu, mmguid] in lqzlist:
dfls = dfshow.loc[:, :]
dfls = dfls[dfls.类型大类 == mingmu]
# dfls = dfls[str(dfls.index)[7:9] == 'XF']
del dfls['类型大类']
dfls.sort_values(['有效月均'], ascending=False, inplace=True)
target = list()
target.append(mingmu)
target.append(mmguid)
target.append(dfls)
targetlist.append(target)
lslist = [['学府超市', 'XF', 'ce26a763-81cc-421f-8430-22dab21ba43e'],
['红生超市', 'HS', '1F0995DA-1DEC-4333-8EA6-8C85B54E2B71'.lower()],
['五分钟', 'WF', '41518B63-FF81-4719-BFE0-0E5BBFBC295A'.lower()]
]
for [mingcheng, bianma, guid] in lslist:
dfls = dfshow.loc[:, :]
dfls = dfls[dfls.index.str.find(bianma) >= 0]
del dfls['类型大类']
if dfls.shape[0] == 0:
log.info(f'连锁超市{mingcheng}没有数据记录，跳过')
continue
dfls.sort_values(['有效月均'], ascending=False, inplace=True)
target = list()
target.append(mingcheng)
target.append(guid)
target.append(dfls)
targetlist.append(target)
# print(targetlist)
for [qy, ntguid, dfslicesingle] in targetlist:
try:
dfzdclnames = list(dfslicesingle.columns)
# print(dfzdclnames)
dfzdclnames3 = dfzdclnames[3:16]
dfzdclnamesnew = [dfzdclnames[0]] + [dfzdclnames[-2]] + dfzdclnames3 + [dfzdclnames[23]] + [dfzdclnames[22]]
# print(dfzdclnamesnew)
stattitle = f'总客户：{dfslicesingle.shape[0]}，' \
f'在线客户（前三个月有成交记录）：{dfslicesingle[dfslicesingle.尾交月数 <= 4].shape[0]}，' \
f'本月成交客户：{dfslicesingle[dfslicesingle.尾交月数 == 1].shape[0]}'
imglist2note(notestore, [], ntguid, qy + '订单金额年度分析',
tablehtml2evernote(dftotal2top(dfslicesingle.loc[:, dfzdclnamesnew]), stattitle,
withindex=False, setwidth=False))
cfpdata.set('ordersaleguidquyu', qy + 'count', f'{dfslicesingle.shape[0]}')
cfpdata.write(open(inidatanotefilepath, 'w', encoding='utf-8'))
log.info(f'{qy}数据项目成功更新')
except OSError as eee:
log.critical(f'《{qy}订单金额年度分析》笔记更新时出现错误。{eee}')
# print(dfslicesingle.shape[0])
else:
cfpdata.set('ordersaleguidquyu', '数据最新日期', f'{zuijinchengjiaori}')
cfpdata.write(open(inidatanotefilepath, 'w', encoding='utf-8'))
