Package: pynut
pynut - Laurent TupinIt provides various functions to simplify the users life.InstallationYou can install the package fromPyPI:python -m pip install pynutThe package is supported on Python 3.7 and above.How to useYou can call a function as this example:$ ----------------------------------------------------
>>> from pyNut import nutDate
>>> nutDate.today()This is the libraries I am using with the package$ ----------------------------------------------------
>>> beautifulsoup4==4.7.1
>>> exchangelib==4.7.2
>>> openpyxl==3.0.5
>>> pandas==1.1.3
>>> paramiko==2.6.0
>>> psutil==5.9.0
>>> pyodbc==4.0.32
>>> pywin32==303
>>> selenium==3.141.0
>>> xlrd==1.2.0
>>> XlsxWriter==1.3.5
>>> xlwings==0.20.8To use nutAPI / Selenium Functionnalities:from pyNut import nutApi as Api

#----------------------------------------------------
# To use Chrome Driver
#  Go to chromedriver.chromium.org || https://sites.google.com/a/chromium.org/chromedriver/downloads
#  Chose an older version (like the 92 as of August 2021)
#  download and UnZip the folder
#  Move it to Users/local/bin
#   or C:\ProgramData\Anaconda3\Library\bin (Windows)
#   or ...\AppData\Local\Programs\Python\Python39
#----------------------------------------------------DocumentationTemporary documentation for nutDate :from pyNut import nutDate as dat

dte_date = dat.fDte_formatToDate(dte_date, str_dateFormat = '%d/%m/%Y')
""" fDte_formatToDate makes sure you will have a varable with a date format
    The first Argument is the Variable (date), and the format of the string if it is a sting
    It allows you to avoid testing the type of the variable and get your get Date anyhow"""

int_dateDiff = dat.fInt_dateDifference(dte_date1, dte_date2)
""" fInt_dateDifference give you the difference in days between 2 dates"""

Date2 = dat.fDte_convertExcelInteger(Date)
""" fDte_convertExcelInteger takes an integer as input, 
    This is the integer you can find in Excel when it is a date 
    And return the associated date  """Temporary documentation for nutDataframe :import pyNut.nutDataframe as dframe

bl_isempty = dframe.fBl_isDataframeEmpty(df_simple)
""" Test if a Dataframe is empty"""

df_simple = dframe.fDf_createSimpleDataframe()
""" Create a simple dataframe to make test"""

bl_compare, df_compare = dframe.fBl_compareDfCol({'df': df_1, 'colJoin': 'colJoin','colToCompare':'data'},
                                                  {'df': df_2,'colJoin': 'colJoin','colToCompare':'data'})
""" compare 2 dataframe one a numeric column by joining the df and returning the difference """

df_1['DataRounded'] = df_1['DataToBeRounded'].apply(lambda x: dframe.round_down(x))
""" Use the Math Function floor() - Able to add a decimals like in Excel
    floor() rounds down. int() truncates. 
    The difference is clear when you use negative numbers
    math.floor(-3.5)    -4
    int(-3.5)           -3"""

df_2['DataRounded'] = df_2['DataToBeRounded'].apply(lambda x: dframe.round_up(x))
""" Use the Math Function ceil() - Able to add a decimals like in Excel"""

df_data = dframe.fDf_readCsv_enhanced(path, bl_header = None, str_sep = '|', l_names = range(33))
""" Use the pandas method read_csv
    but resolving Parse Error and will try again after displaying a message 
    Also resolving UnicodeDecodeError by detecting the encoding and trying again accordingly """
 
df2 = dframe.fDf_removeDoublons(df1)
""" Remove all rows that are exactly the same"""
 
df2 = dframe.fDf_DropRowsIfNa_resetIndex(df1, l_colToDropNA = ['col1'])
""" Drop the rows where all defined columns will be Nan
    And reset the index"""

df2 = dframe.dDf_fillNaColumn(df1, 'col2', 'col1')
""" Replace Nan in a column by the value in another column or a Constant """

df2 = dframe.fDf_fillColUnderCondition(df1, 'NameColApply', df1['data'], 'NameColC', 'YES', bl_except = False)
''' Transform DF with condition
    ValueToApply can be a value or a lambda function'''Temporary documentation for nutOther :from pyNut import nutOther as oth

1. Decorators

@oth.dec_singletonsClass
class CLASS_TO_DECORATE():
''' Singeltons decorators: always use the first instance 
    Example: connection to database, FTP (keep the same connection for performance and possibly Access issue)
    '''    

@oth.dec_getTimePerf(int_secondesLimitDisplay = 2)
def function_TO_DECORATE(*args, **kwarks):
''' Time Performance Decorators on a function
    You can calculate and compare Performance on any function just by decorating it
    It will show nothing if the performance is better than a specific threshold you will defined
    '''   

@oth.dec_stopProcessTimeOut(int_secondesLimit = 10, returnIfTimeOut = False)
def function_TO_DECORATE(*args, **kwarks):
''' This decorators allow to stop a process if it is too long
    For example, testing a folder existence might be very very long...'''Temporary documentation for nutApi :from pyNut import nutApi as Api
    
1. Class

inst_getAPI = Api.C_API_simple( (str_uid, str_pwd) )
inst_getAPI.api_connect_json( url )
inst_getAPI.api_returnDataFrame( l_url_keyword = ['data', 'price'] )
df_data = inst_getAPI.df_return
""" The class inherit from C_API 
        allows the user to read an URL and get back a dataframe from JSON format
    Is decorated to be a singleton"""Temporary documentation for nutEmail :DESIGN PATTERN: BUILDER for OUTLOOK / EXCHANGELIB
Allow you to manage all relating to Emails with few lines of code

from pyNut import nutEmail as email

1. Send an email with OUTLOOK

o_builder_emailSend =   email.c_Outlook_send(**dic_param)
o_otlk_Director =       email.c_otlk_Director(o_builder_emailSend)
o_otlk_Director.SendMail()
bl_success = o_otlk_Director._builder.bl_success
    OR
bl_success = email.fBl_SendMail_desPatt(**dic_param)

WHERE 

dic_param = dict(bl_draft = True, l_pathAttach=['path1_fileToEnclose'], str_message = 'Hello',
                 str_from='', str_to='', str_cc='', str_bcc='',str_subject='Subject')    

2. Download files from Received Email on Outlook

o_builder_emailDwld =   email.c_Outlook_dwld(**dic_param)
inst_Director =    email.c_otlk_Director(o_builder_emailDwld)
inst_Director.Download_fMail()

WHERE 

dic_param = dict(str_outAcctName = 'laurent@gmail.com', str_inbox = 'Inbox', l_folders = [],
                 str_subject = 'Sujet', str_to = '', str_cc = '', str_folder = 'PathForSaveFile',
                 str_File_startW = 'file_', str_File_endW = '_01.csv')

3. Download files from Received Email with Excahngelib (not on Outlook)

o_builder_emailDwld = 	email.c_Webmail_dwld(**dic_param)
inst_Director =  	    email.c_otlk_Director(o_builder_emailDwld)
inst_Director.Download_fMail()

WHERE 

dic_param = dict(str_outAcctName = 'laurent@gmail.com', str_pwd = '*****', str_inbox = 'Inbox', l_folders = [],
                 str_subject = 'Sujet', str_to = '', str_cc = '', str_folder = 'PathForSaveFile',
                 str_File_startW = 'file_', str_File_endW = '_01.csv')Temporary documentation for nutFtp :Class c_FTP and c_SFTP allow you to Download / Upload on a server
Decorated to be a singleton as to keep the same instance / connection
FTP uses the ftplib library, SFTP paramiko

from pyNut import nutFtp as ftp

1.1. Download FTP

ftp.fBl_ftpDownFileBinary(host, uid, pwd, ['FTP Folder'], fileName, folderToSave, bl_ssl = False)
    OR
_ftp = ftp.ftp_prep(host, uid, pwd, ['FTP Folder'], bl_ssl = False)
_ftp.ftp_DownloadFile(fileName, folderToSave)

1.2. Download SFTP

ftp.ssh_downFile(host, uid, pwd, ['FTP Folder'], fileName, folderToSave, int_port = 10022)
    OR
_sftp = sftp_prep(host, uid, pwd, ['FTP Folder'], int_timeout = -1, int_port = 10022)
_sftp.sftp_DownloadFile(fileName, folderToSave)

2.1 Upload FTP

ftp.fBl_ftpUpFile_Bi(host, uid, pwd, ['FTP Folder'], fileName, folderToSave,  bl_ssl = False)
    OR
_ftp = ftp_prep(host, uid, pwd, ['FTP Folder'], bl_ssl = False)
_ftp.ftp_UploadFile(fileName, folderToSave)

2.2 Upload SFTP

bl_success = ftp.ssh_upFile(host, uid, pwd, ['FTP Folder'], fileName, folderToSave, int_port = 10022)
    OR
_sftp = sftp_prep(host, uid, pwd, ['FTP Folder'], int_port = 10022)
_sftp.sftp_UploadFile(fileName, folderToSave)Temporary documentation for nutDb :from pyNut import nutDb as db

1. Lite Db

db_lite = db.c_db_lite(r'\db_param.db')
db_lite.connect()
df_UID = db_lite.getDataframe("SELECT * FROM tbl_Table")
db_lite.closeConnection()
""" This class allows you to manage simple lite database"""

2. SQL Server (pyodbc)

dbServer =  db.c_db_withLog()
# df_UID will be a dataframe of connexion: Server, Database, UID, Password
dbServer.dataframeCredentials(df_UID)

# Request with a dataframe as a return
db.db_SelectReq("SELECT top 10 * FROM tbl_Table")
print(dbServer.df_result)

# OR EXEC a stored procedure    
db.db_EXEC('EXEC Stored_Procedure')Temporary documentation for nutFiles :from pyNut import nutFiles as fl

1. Functions

fileName = fl.fStr_myFileName(__file__)
''' Get the Python File Name '''

myPath = fl.fStr_myPath(__file__)
''' Get the path of the Python File'''

EnvUserName = fl.fStr_GetEnvUserName()
''' Get the Environment of the USERPROFILE'''

UserEmail = fl.fStr_GetUserEmail(str_emailExtension = '@corporation.com')
''' Get the Corporate Email of the user '''

folder = fl.fStr_GetFolderFromPath(myPath)
''' Get the Folder from a file path '''

FileName = fl.fStr_GetFileFromPath(myPath)
''' Get the file Name from a file path '''

l_files =   fl.fL_listFile(myFolder)
""" Listing all files and folder in a folder using the library glob """

l_files =   fl.fList_FileInDir(myFolder)
""" Listing all files and folder in a folder using the library os """    

if not fl.fBl_FileExist(_path):
""" Test if a file exist. Giving a path, return a Boolean """

if not fl.fBl_FolderExist(_path):
""" Test if a folder exist. Giving a folder path, return a Boolean """

if not fl.fBl_FolderExist_timeout(_path):
""" Test if a folder exist. Giving a folder path, return a Boolean
    The function is decorated not to search for more than 10 secondes """

fl.TrimTxtFile(str_path, bl_right = True)
""" This function will Trim the space in a text file
    We can decide to Trim only the space on the left or right 
    By default, the Trim is both side"""

fl.Act_Rename(str_newFolder, str_oldName, str_newName, False)
""" Renaming a file and if it failed using the lib os, it will MOVE the file with shutil """

newName = fl.fStr_TransformFilName_fromXXX_forGlobFunction(fileName, bl_exactNumberX = False)
""" Change a string with unknown characters (XXXX) into sth understandable by the glob library
    'file_{*}_1.zip' ==> 'file_*_1.zip'     ( bl_exactNumberX = False)
    'file_{XXXX}_1.zip' ==> 'file_????.zip' ( bl_exactNumberX = True)
    'file_{XXXX}.zip' ==> 'file_*.zip'      ( bl_exactNumberX = False)
    """

L_filIn =   fl.fL_GetFileListInFolder(myFolder, fileName_X, bl_searchOnly, bl_exactNb)
""" Return the list of files in a folder that match the pattern given of the fileName 
    with {*} or {XXX} within """

fileName = fl.fStr_GetMostRecentFile_InFolder(folder, fileName_X)
""" Return the list of files in a folder that match the pattern given of the fileName
    with {*} or {XXX} within
    AND take the most recent one"""

l_files_X = fl.fL_GetFileList_withinModel(l_files, str_fileName)
""" If you have in memory a list of File Name
    you want to return the list of those who match the pattern given of the fileName
    with {*} or {XXX} within"""

dte_modif = fl.fDte_GetModificationDate(myPath)
""" Function Get the Modification Date of a file
    Useful for Update of App """

l_pathReturn = fl.fL_KeepFiles_wTimeLimit(l_files, dte_after = 100)
""" Filter a list of file Path to return the files that has been updated 
    after X days in the past and before Y days in the past 
    dte_after and dte_before can be date or integer of days in the past"""

bl_creation = fl.fBl_createDir(myFolder)
""" Create a Directory
    Return False if Directory exists, True if the folder has been created """

o_file = fl.fO_readfile_parquet(str_pathFile, **d_options)
""" fO_readfile_parquet reads parquet - require the libraries : pyarrow / fastparquet
    options: use_threads, engine='fastparquet', ... """

str_sqlRequest = fl.fStr_ReadFile_sql(path)
""" fStr_ReadFile_sql Opens and read the file as a single buffer"""

df_data = fl.fDf_readExcelWithPassword(path, SheetName, ExcelPwd, 'A1:M400')
""" You can read an Excel file protected with password - Requires to open the Excel App
    Also, for performance issue (and in order not to open Excel App again)
    it will create a csv copy named: fileName_sheetName.csv 
    Once the csv created, the same function will only use |pd.read_csv()|
    Return a Dataframe"""

d_data = fl.fDic_readExcelWithPassword_sevSh(path, ExcelPwd, d_shName_areaToLoad)
""" You can read an Excel file protected with password - Requires to open the Excel App
    Also, for performance issue (and in order not to open Excel App again)
    it will create 1 CSV per sheet in the spredsheet named: fileName_sheetName.csv
    Once all the csv created, the same function will only use |pd.read_csv()|
    Return a sictionary of Dataframe, key will be the SheetNames
    """

df_data = pd_read_excel(str_path, str_SheetName, bl_header)
""" To be able to read xlsx files with the function: |pd.read_excel|
    You need to have a previous xlrd version (xlrd==1.2.0)
    And replace the file xlsx.py (/Lib/site-packages/xlrd) by the one in this library !!!
    If it fails the engine openxyl will be used
    You can pass a sheet_name and a header as input
    """

fl.fStr_createExcel_1Sh(path, '', df_PCF, str_SheetName = '', bl_header = False)
""" Create a single sheet Excel file"""

fl.fStr_createExcel_SevSh(path, '', l_dfData, l_SheetName, bl_header = True)
""" Create a several sheets Excel file, Input is a list of Dataframe
    Will use pd.ExcelWriter and will no return any error depending of the version of xlrd
    if |options = d_options| wont work, |engine_kwargs = {'options' : d_options}| will be tried as well
    """

fl.fStr_createExcel_SevSh_celByCel(path, '', l_dfData, l_SheetName)
""" Create a several sheets Excel file
    Input is a list of Dataframe and list of Sheet Names
    Will use xlsxwriter and fill the Excel Cell by Cell
    Performance may be pretty low
    Preferable to use the function : fStr_createExcel_SevSh
    """

fl.fStr_fillExcel_InsertNewSheet(path, '', df_data, str_SheetName)
""" Take an existing  Excel file and insert a new sheet
    Input is a list of Dataframe - Will use pd.ExcelWriter 
    INSERT SHEET: 1 file out - 1 Dataframe - 1 Sheet """

fl.fStr_fillXls_df_xlWgs_sevSh(folder, FileName, l_dfData, l_SheetName = l_shName)
""" Take an existing Excel file and an existing sheet and fill it with new data
    Input is a Dataframe - Will use c_xlApp_xlwings class
    1 file out - 1 Dataframe - 1 Sheet"""

str_path = fl.fStr_fillXls_df_xlWgs_sevSh(folder, FileName, l_dfData, l_SheetName = l_shName)
""" Take an existing Excel file and several existing sheet and fill it with new data
    Input is a list of Dataframe, SheetNames - Will use c_win32_xlApp class
    1 fileout - n Dataframe - n Sheet"""

Act_win32_SaveAsCleanFile(path, pathNew)
""" Sometimes an Excel file is an old version and might be corrupted
    By Passing your file through this function, Excel App will be open, SaveAs and Close 
    so the new File will be useable by Python after"""

df_donnee = fl.fDf_convertToXlsx(path, SheetName, bl_header = None)
""" Will use Act_win32_SaveAsCleanFile to make sure the file is not corrupted
    and SaveAs XLSX instead of XLS 
    Read it and return the dataframe """
    
df_donnee = fl.fDf_overwriteXlsx(path, SheetName, bl_header = None)
""" Will use Act_win32_SaveAsCleanFile to save a non-corrupted XLSX file 
    Read it and return the dataframe """

fl.Act_convertToXls_fromXlsx(path)
""" Will use Act_win32_SaveAsCleanFile to make sure the file is not corrupted
    and SaveAs XLS instead of XLSX """

fl.Act_win32OConvertXls_pdf(path)
""" Will open an Excel file and convert it into PDF"""

bl_tooOld = fl.fBl_fileTooOld(path, int_dayHisto = 10)
""" Return a boolean to know if a file is older than N days in the past """

fl.del_fichier_ifOldEnought(path,'', int_dayToKeep = 10)
""" Check is a file is older than N days in the past 
    And if so, delete it 
    If the folder where the file is supposed to be does not exist, the function will create it"""

fl.ZipExtractFile(ZipPath, pathDest, FileName, bl_extractAll=False, str_zipPassword='')
""" Will read a ZIP file and extract its content in a destination folder
    It can take password
    It can extract all or only a file"""

fl.Act_StyleIntoExcel(path, format, sheetName)
""" Take an Excel Spreadsheet and a sheet and apply a format to it
    str_format is a dictionary within a string,
    the dictionary will be build by the fucntion eval
    Example of format:
        "{'A1:M500':{'font':{'name':'Calibri', 'size':9}},
        'B3:B5':{'font':{'name':'Calibri', 'size':10, 'bold':True,'color':styl.colors.WHITE},
                'alignment':{'horizontal':'right'},
                'fill':{'patternType':'solid', 'fill_type':'solid', 'fgColor': 'F2F2F2'}},
        'Column_size':{'A':50,'B':35,'C':10,'D':10,'E':15,'F':15,'G':18,'H':10},
        'Table_bord':{'A3:A11':'normBlack', 'B3:B11':'normBlack'},
        'Table_bord_full':{'A1:B1':'normBlack'},
        'Table_bord_EndDown_full':{'A13':'normBlack'},
        'num_format':{'B6:B6':'#,##0.0000', 'B7:B8':'#,##0'},
        'num_format_col':{'G13':'#,##0.00',  'H13':'0.00%'}
        }"
    """
    
Act_KillExcel()
""" This function kills all session of Excel
    Including the 'ghost' session you would kill from the Task Manager """


2. Class

inst_xlWings = c_xlApp_xlwings()
inst_xlWings.FindXlApp(bl_visible = True, bl_screen_updating = False, bl_display_alerts = False)
inst_xlWings.OpenWorkbook(path)
inst_xlWings.DefineWorksheet(SheetName, i + 1)
inst_xlWings.InsertDf_inRange(df_data)
inst_xlWings.close_Book(bl_saveBeforeClose = True)
""" The class allow you to manage excel with the library xlwings which might work better than win32
    Open the Excel Office App, Close, Save, define / rename / create sheet, fill an area
    The class is decorated to be a singleton so we always use the same instance of Excel
    DOC: https://docs.xlwings.org/en/stable/api.html
    """

inst_xlApp = fl.c_win32_xlApp()
inst_xlApp.FindXlApp(bl_visible = True)
inst_xlApp.OpenWorkbook(str_path)
inst_xlApp.xlApp.DisplayAlerts = False
inst_xlApp.ConvertToPdf()
inst_xlApp.CloseWorkbook(bl_saveBeforeClose = True)
""" The class allow you to manage excel with the library win32com.client
    Open the Excel Office App, Close, Save, define / rename / create sheet, fill an area
    The class is decorated to be a singleton so we always use the same instance of Excel
    """END