def fetch_dutyondata2lite():
zhutis = [['放假', 'holiday'], ['请假', 'leave'], ['打卡', 'checkin'],
['入职', 'dutyon'], ['高温', 'hot'], ['下雨', 'rain']]
try:
for zhuti in zhutis:
dfresult = chuliholidayleave_note(zhuti)
if zhuti[0] in ['高温', '下雨']:
if zhuti[0] == '高温':
dffromgd, dfallfromgd = getgaowenfromgoogledrive()
dfresult = dfresult.append(dffromgd)
dfresult.drop_duplicates(['hottime'], inplace=True)
else:
dffromgd, dfallfromgd = getrainfromgoogledrive()
dfresult = dfresult.append(dffromgd)
dfresult.drop_duplicates(['raintime'], inplace=True)
countfromini = getcfpoptionvalue('everworkplan', '行政管理',
f'{zhuti[0]}count')
if not countfromini:
countfromini = 0
if countfromini == dfresult.shape[0]:
log.info(f"本轮查询没有发现新的《{zhuti[0]}》相关数据,跳过！")
continue
cnxp = lite.connect(dbpathworkplan)
# index, ['mingmu', 'xingzhi', 'tianshu', 'date']
dfresult.to_sql(zhuti[1], cnxp, if_exists='replace', index=None)
cnxp.close()
log.info(f'{zhuti[0]}数据表更新了{dfresult.shape[0]}条记录。')
setcfpoptionvalue('everworkplan', '行政管理', f'{zhuti[0]}count',
f"{dfresult.shape[0]}")
except OSError as exp:
topic = [x for [x, *y] in zhutis]
log.critical(f'从evernote获取{topic}笔记信息时出现未名错误。{exp}')
def getgroupdf(dfs, xiangmus, period='month'):
# global log
# 日期唯一，就是求个框架，值其实随意，这里随意取了当天的sum（对数值有效）
dfmobans = dfs.groupby('日期')[xiangmus].sum()
dfout = pd.DataFrame()
for xiangmu in xiangmus:
if xiangmu in list(dfmobans.columns):
dfmoban = dfmobans[xiangmu]
else:
log.info(str(set(dfs['品牌'])) + xiangmu + '无数据')
continue
dfmoban = dfmoban.dropna() # 去除空值避免干扰
if dfmoban.shape[0] == 0: # 无有效数据则轮空，不循环
continue
dates = pd.date_range(
dfmoban.index.min(),
periods=(dfmoban.index.max() - dfmoban.index.min()).days + 1,
freq='D')
dfman = dfmoban.reindex(dates)
for ix in dfman.index:
if period == 'year':
yuandiandate = pd.to_datetime(
'%4d-01-01' % ix.year) # MonthEnd()好坑，处理不好月头月尾的数据
# yuandiandate = ix + YearBegin(-1) # MonthEnd()好坑，处理不好月头月尾的数据
else:
yuandiandate = pd.to_datetime('%4d-%2d-01' %
(ix.year, ix.month))
# yuandiandate = ix + MonthBegin(-1)
dftmp = ((dfs[(dfs.日期 >= yuandiandate) & (dfs.日期 <= ix) &
(dfs[xiangmu].isnull().values
== False)]).groupby('客户编码'))[xiangmu].count()
dfman[ix] = dftmp.shape[0]
dfout = dfout.join(pd.DataFrame(dfman), how='outer')
return dfout
def jilugooglefile(filepath):
filelist = [
ff for ff in listdir(str(filepath)) if isfile(str(filepath / ff))
]
print(filelist)
dfout = None
for i in range(len(filelist)):
df = pd.read_excel(str(filepath / filelist[i]),
sheet_name='工作表1',
header=None,
index_col=0,
parse_dates=True)
if df.shape[0] == 0:
log.info('%s 无进出记录' % filelist[i])
continue
# descdb(df)
df['shuxing'] = df.iloc[:, 1].apply(lambda x: x.split(' ')[0])
df['didian'] = df.iloc[:, 1].apply(lambda x: x.split(' ')[1])
df['entered'] = df.iloc[:, 0].apply(lambda x: True
if x == 'entered' else False)
dff = df.iloc[:, [6, 4, 5]]
dff.columns = ['entered', 'shuxing', 'address']
# descdb(dff)
if i == 0:
dfout = dff
else:
dfout = dfout.append(dff).sort_index()
return dfout
def getnotelist(name, wcpath, notebookguid):
"""
根据传入的微信账号名称获得云端记录笔记列表
"""
notelisttitle = f"微信账号（{name}）记录笔记列表"
loginstr = "" if (whoami := execcmd("whoami")) and (
len(whoami) == 0) else f"，登录用户：{whoami}"
timenowstr = pd.to_datetime(datetime.now()).strftime("%F %T")
if (notelistguid := getcfpoptionvalue('everwcitems', "common",
f"{name}_notelist_guid")) is None:
findnotelst = findnotefromnotebook(notebookguid,
notelisttitle,
notecount=100)
if len(findnotelst) == 1:
notelistguid = findnotelst[0][0]
log.info(f"文件列表《{notelisttitle}》的笔记已经存在，取用")
else:
nrlst = list()
nrlst.append(f"账号\t{name}\n笔记数量\t-1") # 初始化内容头部，和正常内容头部格式保持一致
nrlst.append("")
nrlst.append(
f"\n本笔记创建于{timenowstr}，来自于主机：{getdevicename()}{loginstr}")
note_body_str = '\n---\n'.join(nrlst)
note_body = f"<pre>{note_body_str}</pre>"
notelistguid = makenote2(notelisttitle,
notebody=note_body,
parentnotebookguid=notebookguid).guid
log.info(f"文件列表《{notelisttitle}》被首次创建！")
setcfpoptionvalue('everwcitems', "common", f'{name}_notelist_guid',
str(notelistguid))
def with_logging(*args, **kwargs):
if getinivaluefromnote('everwork', 'logdetails'):
log.info(f'{func.__name__}函数被调用，参数列表：{args}')
else:
print(f'{func.__name__}函数被调用，参数列表：{args}')
return func(*args, **kwargs)
def updatewcitemsxlsx2note(name, dftest, wcpath, notebookguid):
"""
处理从本地资源文件读取生成的df，如果和ini登记数量相同，则返回；如果不同，则从笔记端读取相应登记
数量再次对比，相同，则跳过，如果不同，则拉取笔记资源文件和本地资源文件融合，更新笔记端资源文件并
更新ini登记数量（用融合后的记录数量）
"""
ny = dftest['time'].iloc[0].strftime("%y%m")
dftfilename = f"wcitems_{name}_{ny}.xlsx"
dftallpath = wcpath / dftfilename
dftallpathabs = os.path.abspath(dftallpath)
print(dftallpathabs)
loginstr = "" if (whoami := execcmd("whoami")) and (
len(whoami) == 0) else f"，登录用户：{whoami}"
timenowstr = pd.to_datetime(datetime.now()).strftime("%F %T")
if (dftfileguid := getcfpoptionvalue('everwcitems', dftfilename,
'guid')) is None:
findnotelst = findnotefromnotebook(notebookguid,
dftfilename,
notecount=1)
if len(findnotelst) == 1:
dftfileguid = findnotelst[0][0]
log.info(f"数据文件《{dftfilename}》的笔记已经存在，取用")
else:
first_note_desc = f"账号\t{None}\n记录数量\t-1" # 初始化内容头部，和正常内容头部格式保持一致
first_note_body = f"<pre>{first_note_desc}\n---\n\n本笔记创建于{timenowstr}，" \
f"来自于主机：{getdevicename()}{loginstr}</pre>"
dftfileguid = makenote2(dftfilename,
notebody=first_note_body,
parentnotebookguid=notebookguid).guid
setcfpoptionvalue('everwcitems', dftfilename, 'guid', str(dftfileguid))
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 isitchat(pklabpath):
"""
判断itchat是否已经运行，没有则热启动之。
如果成功则返回True，否则直接退出运行。
"""
inputpklpath = os.path.abspath(pklabpath)
# print(inputpklpath)
if itchat.originInstance.alive:
# 转换成绝对路径方便对比
loginpklpath = os.path.abspath(itchat.originInstance.hotReloadDir)
if inputpklpath == loginpklpath:
log.info(f"微信处于正常登录状态，pkl路径为：\t{loginpklpath}……")
else:
logstr = f"当前登录的pkl路径为{loginpklpath}，不同于传入的参数路径：\t{inputpklpath}"
log.critical(logstr)
sys.exit(1)
else:
itchat.auto_login(hotReload=True, statusStorageDir=pklabpath) #热启动你的微信
if not itchat.originInstance.alive:
log.critical("微信未能热启动，仍处于未登陆状态，退出！")
sys.exit(1)
else:
loginpklpath = os.path.abspath(itchat.originInstance.hotReloadDir)
logstr = f"微信热启动成功\t{loginpklpath}"
log.info(logstr)
return True
def chulidataindir_orderdetails(pathorder: Path):
notestr = '订单明细'
cnxp = lite.connect(dbpathdingdanmingxi)
tablename_order = 'orderdetails'
sqlstr = "select count(*) from sqlite_master where type='table' and name = '%s'" % tablename_order
tablexists = pd.read_sql_query(sqlstr, cnxp).iloc[0, 0] > 0
if tablexists:
# dfresult = pd.DataFrame()
dfresult = pd.read_sql('select * from \'%s\'' %
tablename_order, cnxp, parse_dates=['日期'])
log.info('%s数据表%s已存在， 从中读取%d条数据记录。' %
(notestr, tablename_order, dfresult.shape[0]))
else:
log.info('%s数据表%s不存在，将创建之。' % (notestr, tablename_order))
dfresult = pd.DataFrame()
files = os.listdir(str(pathorder))
for fname in files:
if fname.startswith(notestr) and (fname.endswith('xls') or fname.endswith('xlsx')):
yichulifilelist = list()
if (yichulifile := getcfpoptionvalue('everzysm', notestr, '已处理文件清单')):
yichulifilelist = yichulifile.split()
if fname in yichulifilelist:
continue
print(fname, end='\t')
dffname = chulixls_orderdetails(pathorder / fname)
if dffname is None:
continue
dfresult = dfresult.append(dffname)
print(dffname.shape[0], end='\t')
print(dfresult.shape[0])
yichulifilelist.append(fname)
setcfpoptionvalue('everzysm', notestr, '已处理文件清单', '%s' % '\n'.join(yichulifilelist))
def termux_sms_send(msg='hi'):
cmdlist = ['termux-sms-send', '-n', '15387182166', f'{msg}']
out, rc, err = utils.execute(cmdlist)
if rc:
log.Warning(f"发送短信时出现错误：{msg}")
raise Exception(err)
else:
log.info(f"成功发送短信。")
return out
def readfromtxt(fn):
if not os.path.exists(fn):
newfile = open(fn, 'w', encoding='utf-8')
newfile.close()
with open(fn, 'r', encoding='utf-8') as fff:
itemsr = [line.strip() for line in fff if len(line.strip()) > 0]
# for line in f:
# print(line)
log.info("《%s-%s》现有%d条记录。" % (mingmu, fenleistr, len(itemsr)))
return itemsr
def fetchmjurlfromfile(ownername):
"""
fetch all zhanji urls from chatitems files
"""
ownpy = Pinyin().get_pinyin(ownername, '')
datapath = getdirmain() / 'data' / 'webchat'
datafilelist = os.listdir(datapath)
print(datapath)
resultlst = list()
for filenameinner in datafilelist:
if not filenameinner.startswith('chatitems'):
continue
filename = datapath / filenameinner
rstlst = []
# 应对文本文件编码不同的情况
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:
filelines = f.readlines()
rstlstraw = [
inurl for line in filelines
for inurl in splitmjurlfromtext(line)
]
# drops the duplicates url
rstlst = list(set(rstlstraw))
print(len(rstlst), len(rstlstraw), filename, dk)
break
except UnicodeDecodeError as eef:
print(eef)
continue
except LookupError as eel:
print(eel)
if dk == 'Error':
print(f"{filename}没办法用预设的字符集正确打开")
break
resultlst.extend(rstlst)
resultlst = list(tuple(resultlst))
# print(resultlst[:10])
if (urlsnum := getcfpoptionvalue(f'evermuse_{ownpy}', ownername,
'urlsnum')):
if urlsnum == len(resultlst):
changed = False
log.info(f"战绩链接数量暂无变化, till then is {len(resultlst)}.")
else:
changed = True
urlsnumnew = len(resultlst)
setcfpoptionvalue(f'evermuse_{ownpy}', ownername, 'urlsnum',
f"{urlsnumnew}")
log.info(f"战绩链接数 is set to {urlsnumnew} now.")
def chulixls_orderdetails(orderfile: Path):
try:
content = xlrd.open_workbook( filename=orderfile, encoding_override='gb18030')
df = pd.read_excel(content, index_col=0, parse_dates=True, engine='xlrd')
log.info(f'读取{orderfile}')
# print(list(df.columns))
except UnicodeDecodeError as ude:
log.critical(f'读取{orderfile}时出现解码错误。{ude}')
return
# ['日期', '单据编号', '摘要', '单位全名', '仓库全名', '商品编号', '商品全名', '规格', '型号', '产地', '单位', '数量', '单价', '金额', '数量1', '单价1',
# '金额1', '数量2', '单价2', '金额2']
totalin = ['%.2f' % df.loc[df.index.max()]['数量'], '%.2f' %
df.loc[df.index.max()]['金额']] # 从最后一行获取数量合计和金额合计，以备比较
print(df['日期'].iloc[1], end='\t')
print(totalin, end='\t')
# df[xiangmu[0]] = None
# df = df.loc[:, ['日期', '单据编号', '单据类型', xiangmu[0], '摘要', '备注', '商品备注', xiangmu[1],
# '单价', '单位', '数量', '金额', '单位全名', '仓库全名', '部门全名']]
df = df.loc[:, df.columns[:-6]]
df['日期'] = pd.to_datetime(df['日期'])
# df['备注'] = df['备注'].astype(object)
dfdel = df[
(df.单位全名.isnull().values == True) & ((df.单据编号.isnull().values == True) | (df.单据编号 == '小计') | (df.单据编号 == '合计'))]
hangdel = list(dfdel.index)
# print(hangdel)
df1 = df.drop(hangdel) # 丢掉小计和合计行，另起DataFrame
dfzhiyuan = df1[df1.单位全名.isnull().values == True] # 提取出项目名称行号
zyhang = list(dfzhiyuan.index)
zyming = list(dfzhiyuan['单据编号']) # 项目名称
# 每次填充df到最后一行，依次滚动更新之
df['员工名称'] = None
for i in range(len(zyhang)):
df.loc[zyhang[i]:, '员工名称'] = zyming[i]
# 丢掉项目名称行，留下纯数据
dfdel = df[df.单位全名.isnull().values == True]
# print(dfdel[['日期', '单据编号', '数量', '金额']])
hangdel = list(dfdel.index)
# print(hangdel)
dfout = df.drop(hangdel)
dfout.index = range(len(dfout))
dfout = pd.DataFrame(dfout)
# print(dfout)
# print(dfout.head(10))
log.info('共有%d条有效记录' % len(dfout))
# print(list(dfout.columns))
if (totalin[0] == '%.2f' % dfout.sum()['数量']) & (totalin[1] == '%.2f' % dfout.sum()['金额']):
dfgrp = dfout.groupby(['员工名称']).sum()[['数量', '金额']]
dfgrp.loc['汇总'] = dfgrp.sum()
print(dfgrp.loc['汇总'].values)
return dfout
else:
log.warning(f'对读入文件《{orderfile}》的数据整理有误！总数量和总金额对不上！')
return
def getsinglepage(url: str):
"""
获取输入url的内容，提取有效战绩数据；返回DataFrame格式的数据结果
"""
mjhtml = requests.get(url)
mjhtml.encoding = mjhtml.apparent_encoding
log.info(f"网页内容编码为：\t{mjhtml.encoding}")
soup = BeautifulSoup(mjhtml.text, 'lxml')
if (souptitle := soup.title.text) == "404 Not Found":
print(f"该网页无有效内容返回或者已经不存在\t{url}")
return pd.DataFrame()
def df2smsdb(indf: pd.DataFrame, tablename="sms"):
dbname = touchfilepath2depth(getdirmain() / "data" / "db" /
f"phonecontact_{getdeviceid()}.db")
checkphoneinfotable(dbname)
conn = lite.connect(dbname)
recordctdf = pd.read_sql(f"select * from {tablename}", con=conn)
indf.to_sql(tablename, con=conn, if_exists="append", index=False)
afterinsertctdf = pd.read_sql(f"select * from {tablename}", con=conn)
conn.close()
logstr = f"记录既有数量：\t{recordctdf.shape[0]}，" + f"待添加的记录数量为：\t{indf.shape[0]}，" + f"后的记录数量总计为：\t{afterinsertctdf.shape[0]}"
log.info(logstr)
def fileetc_reply(msg):
innermsg = formatmsg(msg)
createtimestr = time.strftime("%Y%m%d", time.localtime(msg['CreateTime']))
filepath = getdirmain() / "img" / "webchat" / createtimestr
filepath = filepath / f"{innermsg['fmSender']}_{msg['FileName']}"
touchfilepath2depth(filepath)
log.info(f"保存{innermsg['fmType']}类型文件：\t{str(filepath)}")
msg['Text'](str(filepath))
innermsg['fmText'] = str(filepath)
writefmmsg2txtandmaybeevernotetoo(innermsg)
def checkbatteryinfotable(dbname: str, tablename: str):
"""
检查设备的电池信息数据表是否已经构建，设置相应的ini值避免重复打开关闭数据库文件进行检查
"""
if not (batteryinfocreated := getcfpoptionvalue('everhard', str(getdeviceid()), 'batteryinfodb')):
print(batteryinfocreated)
csql = f"create table if not exists {tablename} (appendtime int PRIMARY KEY, percentage int, temperature float)"
ifnotcreate(tablename, csql, dbname)
setcfpoptionvalue('everhard', str(getdeviceid()),
'batteryinfodb', str(True))
logstr = f"数据表{tablename}在数据库{dbname}中构建成功"
log.info(logstr)
def dbsql(dbin, csqlin):
"""
在指定数据库连接中执行sql语句，通过cursor
"""
conn = lite.connect(dbin)
cursor = conn.cursor()
cursor.execute(csqlin)
conn.commit()
tcs = conn.total_changes
logstr = f"数据库{dbin}中有{tcs}行数据被影响"
log.info(logstr)
conn.close()
def checkwcdelaytable(dbname: str, tablename: str):
"""
检查和dbname（绝对路径）相对应的延时数据表是否已经构建，设置相应的ini值避免重复打开关闭数据库文件进行检查
"""
if (wcdelaycreated := getcfpoptionvalue(
'everwebchat', os.path.abspath(dbname), tablename)) is None:
print(wcdelaycreated)
csql = f"create table if not exists {tablename} (id INTEGER PRIMARY KEY AUTOINCREMENT, msgtime int, delay int)"
ifnotcreate(tablename, csql, dbname)
setcfpoptionvalue('everwebchat', os.path.abspath(dbname), tablename,
str(True))
logstr = f"数据表{tablename}在数据库{dbname}中构建成功"
log.info(logstr)
def checknewthenupdatenote():
"""
查验程序文件是否有更新（文件时间作为判断标准）并更新至笔记
"""
nbdf = findnotebookfromevernote()
ttt = list()
findfilesincluedef(getdirmain(), ttt, '.py')
ptnfiledesc = re.compile(r"(?:^\"\"\"(.*?)\"\"\"$)",
re.MULTILINE | re.DOTALL)
ptnnamedesc = re.compile(
r"""^def\s+((?:\w+)\(.*?\))\s*:\s*\n
(?:\s+\"\"\"(.*?)\"\"\")?""",
re.MULTILINE | re.DOTALL)
protitle = 'p_ew_'
netnblst = list(nbdf.名称)
for fn in ttt:
nbnamelst = fn.rsplit('/', 1)
if len(nbnamelst) == 1:
nbnamelst.insert(0, 'root')
nbnamelst[0] = protitle + nbnamelst[0] # ['p_ew_jpy', 'chuqin.py']
nbname, filename = nbnamelst[0], nbnamelst[1]
if (ennotetime := getcfpoptionvalue('evercode', nbname,
filename)) is None:
# 获取笔记本的guid，笔记本不存在则构建之
if (nbguid := getcfpoptionvalue('evercode', nbname,
'guid')) is None:
logstr = f"笔记本《{nbname}》在ini中不存在，可能需要构造之。"
log.info(logstr)
if nbname in netnblst:
nbguid = nbdf[nbdf.名称 == nbname].index.values[0]
# print(nbguid)
else:
notebook = createnotebook(nbname)
netnblst.append(nbname)
nbguid = notebook.guid
setcfpoptionvalue('evercode', nbname, "guid", nbguid)
# 获取笔记的guid，笔记不存在则构建之
if (noteguid := getcfpoptionvalue('evercode', nbname,
f'{filename}_guid')) is None:
logstr = f"笔记《{filename}》在ini中不存在，可能需要构造之。"
log.info(logstr)
items = findnotefromnotebook(nbguid, filename)
if len(items) > 0:
# [noteguid, notetitle, note.updateSequenceNum]
noteguid = items[-1][0]
else:
note = makenote(gettoken(),
get_notestore(),
filename,
parentnotebook=nbguid)
noteguid = note.guid
def chuliquandan():
"""
处理全单文件
"""
workpath = dirmainpath / 'data/work'
khqdnamelst = [x for x in os.listdir(workpath) if x.find('全单统计管理') >= 0]
# print(khqdnamelst)
# 对获取的合格文件根据时间进行排序，升序
khqdnamelst.sort(key=lambda fn: os.path.getmtime(workpath / fn))
newestonlyname = khqdnamelst[-1]
newestfn = workpath / newestonlyname
targetfn = dirmainpath / 'data' / '全单统计管理最新.xlsm'
cfpdata, cfpdatapath = getcfp('everdata')
if not cfpdata.has_section('dataraw'):
cfpdata.add_section('dataraw')
cfpdata.write(open(cfpdatapath, 'w', encoding='utf-8'))
if not cfpdata.has_option('dataraw', 'quandannewestname'):
cfpdata.set('dataraw', 'quandannewestname', '')
cfpdata.write(open(cfpdatapath, 'w', encoding='utf-8'))
if cfpdata.get('dataraw', 'quandannewestname') != newestonlyname:
shutil.copy(newestfn, targetfn)
cfpdata.set('dataraw', 'quandannewestname', newestonlyname)
cfpdata.write(open(cfpdatapath, 'w', encoding='utf-8'))
log.info(f"《全单统计管理》有新文件：{newestonlyname}")
cnx = lite.connect(dbpathquandan)
if gengxinfou(targetfn, cnx, 'fileread'): # or True:
# workbook = xlrd.open_workbook(targetfn, encoding_override="cp936")
# workbook = xlrd.open_workbook(targetfn)
# sheet = workbook.sheet_by_name('全单统计管理')
# # sheet的名称，行数，列数
# print (sheet.name,sheet.nrows,sheet.ncols)
# datafromsheet = [sheet.row_values(i, 0 ,sheet.ncols) for i in
# range(0, sheet.nrows)]
# # print(datafromsheet[:5])
# df = pd.DataFrame(datafromsheet[1:], columns=datafromsheet[0])
# df = df.loc[:, ['往来单位全名', '往来单位编号', '联系人', '联系电话', '地址']]
df = pd.read_excel(targetfn,
sheet_name='全单统计管理',
parse_dates=['订单日期', '送达日期', '收款日期'])
print(df)
itemnumberfromnote = getinivaluefromnote('datasource',
'randomnumber4customer')
itemnunber2show = len(
df) if len(df) < itemnumberfromnote else itemnumberfromnote
print(df.loc[random.sample(range(0, len(df)), itemnunber2show), :])
df.to_sql(name='quandantjgl', con=cnx, if_exists='replace')
log.info(f"写入{len(df)}条记录到quandantjgl数据表中")
# read_excel()对于无指定编码的excel文件读取时一直无法解决编码的问题
# df = pd.read_excel(targetfn, encoding='cp936')
# print(df)
cnx.close()
def merge2note(dfdict, wcpath, notebookguid, newfileonly=False):
"""
处理从文本文件读取生成的dfdict，分账户读取本地资源文件和笔记进行对照，并做相应更新或跳过
"""
for name in dfdict.keys():
fllstfromnote = getnotelist(name, wcpath, notebookguid=notebookguid)
ptn = f"wcitems_{name}_" + "\d{4}.xlsx" # wcitems_heart5_2201.xlsx
xlsxfllstfromlocal = [
fl for fl in os.listdir(wcpath) if re.search(ptn, fl)
]
if len(fllstfromnote) != len(xlsxfllstfromlocal):
print(f"{name}的数据文件本地数量\t{len(xlsxfllstfromlocal)}，云端笔记列表中为\t{len(fllstfromnote)}，" \
"两者不等，先把本地缺的从网上拉下来")
misslstfromnote = [
fl for fl in fllstfromnote if fl[0] not in xlsxfllstfromlocal
]
for fl, guid in misslstfromnote:
reslst = getnoteresource(guid)
if len(reslst) != 0:
for res in reslst:
flfull = wcpath / fl
fh = open(flfull, 'wb')
fh.write(res[1])
fh.close()
dftest = pd.read_excel(flfull)
setcfpoptionvalue('everwcitems', fl, 'guid', guid)
setcfpoptionvalue('everwcitems', fl, 'itemsnum',
str(dftest.shape[0]))
setcfpoptionvalue('everwcitems', fl, 'itemsnum4net',
str(dftest.shape[0]))
log.info(
f"文件《{fl}》在本地不存在，从云端获取存入并更新ini（section：{fl}，guid：{guid}）"
)
xlsxfllst = sorted(
[fl for fl in os.listdir(wcpath) if re.search(ptn, fl)])
print(f"{name}的数据文件数量\t{len(xlsxfllst)}", end="，")
if newfileonly:
xlsxfllst = xlsxfllst[-2:]
xflen = len(xlsxfllst)
print(f"本次处理的数量为\t{xflen}")
for xfl in xlsxfllst:
print(
f"{'-' * 15}\t{name}\t【{xlsxfllst.index(xfl) + 1}/{xflen}】\tBegin\t{'-' * 15}"
)
dftest = pd.read_excel(wcpath / xfl).drop_duplicates()
updatewcitemsxlsx2note(name, dftest, wcpath, notebookguid)
print(
f"{'-' * 15}\t{name}\t【{xlsxfllst.index(xfl) + 1}/{xflen}】\tDone!\t{'-' * 15}"
)
def writeini():
"""
evernote API调用次数写入配置文件以备调用。又及，函数写在这里还有个原因是global全局变量无法跨文件传递。
:return:
"""
global ENtimes
# print(ENtimes)
# print(str(datetime.datetime.now()))
cfp.set('evernote', 'apicount', '%d' % ENtimes)
cfp.set('evernote', 'apilasttime',
'%s' % datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'))
cfp.write(open(inifilepath, 'w', encoding='utf-8'))
log.info('Evernote API调用次数：%d，写入配置文件%s' %
(ENtimes, os.path.split(inifilepath)[1]))
def fetchweatherinfo_from_googledrive():
weatherdatalastestday = getnewestdataday('存储数据')
today = datetime.datetime.now().strftime('%F')
hour = int(datetime.datetime.now().strftime('%H'))
if (today > weatherdatalastestday): # or True:
df = getweatherfromgoogledrive()
if df is not None:
log.info('通过读Google drive表格，获取天气信息%d条。' % df.shape[0])
print(df['date'].max())
weathertxtlastestday = df['date'].max().strftime('%F')
setcfpoptionvalue('everlife', '天气', '存储数据最新日期',
'%s' % weathertxtlastestday)
return df
def removeblanklinesfromtxt(fname):
"""
去除文本文件中的空行
"""
with open(fname, 'r') as f:
fcontent = f.read()
flst = fcontent.split('\n')
blanklst = [x for x in flst if len(x) == 0]
itemlst = [x for x in flst if len(x) > 0]
log.info(f"文件《{fname}》内容行数量为：\t{len(itemlst)}，空行数量为：\t{len(blanklst)}")
if len(blanklst) != 0:
with open(fname, 'w') as writer:
writer.write('\n'.join(itemlst))
log.info(f"文件《{fname}》只保留内容行（去除了空行），成功写入！！！")
def makenote(tokenmn,
notestore,
notetitle,
notebody='真元商贸——休闲食品经营专家',
parentnotebook=None):
"""
创建一个note
:param tokenmn:
:param notestore:
:param notetitle:
:param notebody:
:param parentnotebook:
:return:
"""
# global log
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>" % notebody
# Create note object
ournote = Note()
ournote.title = notetitle
ournote.content = nbody
# parentNotebook is optional; if omitted, default notebook is used
if parentnotebook and hasattr(parentnotebook, 'guid'):
ournote.notebookGuid = parentnotebook.guid
# Attempt to create note in Evernote account
try:
note = notestore.createNote(tokenmn, ournote)
evernoteapijiayi()
log.info('笔记《' + notetitle + '》在笔记本《' + parentnotebook.name +
'》中创建成功。')
return note
except EDAMUserException as usere:
# Something was wrong with the note data
# See EDAMErrorCode enumeration for error code explanation
# http://dev.evernote.com/documentation/reference/Errors.html#Enum_EDAMErrorCode
log.critical("用户错误！%s" % str(usere))
except EDAMNotFoundException as notfounde:
# Parent Notebook GUID doesn't correspond to an actual notebook
print("无效的笔记本guid（识别符）！%s" % str(notfounde))
except EDAMSystemException as systeme:
if systeme.errorCode == EDAMErrorCode.RATE_LIMIT_REACHED:
log.critical("API达到调用极限，需要 %d 秒后重来" % systeme.rateLimitDuration)
exit(1)
else:
log.critical('创建笔记时出现严重错误：' + str(systeme))
exit(2)
def add_friend(msg):
# 如何不是指定的数据分析中心和主账户，则不打招呼
thisid = getdeviceid()
houseid = getinivaluefromnote('webchat', 'datahouse')
mainaccount = getinivaluefromnote('webchat', 'mainaccount')
helloword1 = getinivaluefromnote('webchat', 'helloword1')
helloword2 = getinivaluefromnote('webchat', 'helloword2')
men_wc = getcfpoptionvalue('everwebchat', get_host_uuid(), 'host_nickname')
if (thisid != str(houseid) or (men_wc != mainaccount)):
print(f"不是数据分析中心也不是主账号【{mainaccount}】，不用打招呼哟")
return
msg.user.verify()
msg.user.send(f'Nice to meet you!\n{helloword1}\n{helloword2}')
writefmmsg2txtandmaybeevernotetoo(msg)
log.info(msg)
def checkphoneinfotable(dbname: str):
"""
检查联系人和短信数据表是否已经构建，设置相应的ini值避免重复打开关闭数据库文件进行检查
"""
# 联系人数据表检查构建
if not (phonecontactdb := getcfpoptionvalue('everpim', str(getdeviceid()),
'phonecontacttable')):
tablename = "phone"
print(phonecontactdb, tablename)
csql = f"create table if not exists {tablename} (number str PRIMARY KEY not null unique on conflict ignore, name str, appendtime datetime)"
ifnotcreate(tablename, csql, dbname)
setcfpoptionvalue('everpim', str(getdeviceid()), 'phonecontacttable',
str(True))
logstr = f"数据表{tablename}在数据库{dbname}中构建成功"
log.info(logstr)
def fenxiyueduibi(sqlstr,
xiangmu,
notefenbudf,
noteleixingdf,
cnxf,
pinpai='',
cum=False):
# global log
log.info(sqlstr)
xmclause = xiangmu[0]
jineclause = ' and (金额 >= 0) '
brclause = ''
if len(pinpai) > 0:
brclause += ' and (品牌 = \'%s\') ' % pinpai
sqlz = sqlstr % (xmclause, jineclause, brclause)
dfz = pd.read_sql_query(sqlz, cnxf, parse_dates=['日期'])
log.info(sqlz)
cursor = cnxf.cursor()
cursor.execute(f'attach database \'{dbpathdingdanmingxi}\' as \'C\'')
sqlznew = sqlz.replace('xiaoshoumingxi', 'C.orderdetails')
log.info(sqlznew)
dfznew = pd.read_sql_query(sqlznew, cnxf, parse_dates=['日期'])
dfznew = dfznew[dfznew.日期 >=
pd.to_datetime('2018-11-1')] # 实际销售数据和订单品项数据的交界线
# print(dfznew)
xmclause = xiangmu[1]
jineclause = ' and (金额 < 0) '
sqlf = sqlstr % (xmclause, jineclause, brclause)
dff = pd.read_sql_query(sqlf, cnxf, parse_dates=['日期'])
log.info(sqlf)
sqlfnew = sqlf.replace('xiaoshoumingxi', 'C.orderdetails')
log.info(sqlznew)
dffnew = pd.read_sql_query(sqlfnew, cnxf, parse_dates=['日期'])
dffnew = dffnew[dffnew.日期 >=
pd.to_datetime('2018-10-1')] # 实际销售数据和订单品项数据的交界线
# print(dffnew)
cursor.execute('detach database \'C\'')
cursor.close()
df = pd.merge(dfz.append(dfznew),
dff.append(dffnew),
how='outer',
on=['日期', '年月', '客户编码', '区域', '类型', '品牌'],
sort=True)
df.fillna(0, inplace=True)
# print(df.tail(10))
kuangjiachutu(notefenbudf, noteleixingdf, df, xiangmu, cnxf, pinpai, cum)
def chengbenjiaupdateall(cnxc):
dfsall = pd.read_sql_query(
'select * from xiaoshoumingxi order by 日期, 单据编号',
cnxc,
parse_dates=['日期'])
del dfsall['index']
dfsall = chengbenjiaupdatedf(dfsall, cnxc)
dfsall.to_sql(name='xiaoshoumingxi',
con=cnxc,
if_exists='replace',
chunksize=10000)
log.info('要更新%d记录中的成本价和毛利内容' % len(dfsall))
dfsall['年月'] = dfsall['日期'].apply(
lambda x: datetime.datetime.strftime(x, '%Y%m'))
print(
dfsall.groupby('年月', as_index=False)[['数量', '成本金额', '金额', '毛利']].sum())