Skip to main content

easy stuff

Project description

This module is for easy interaction with linux, Mac OS X, Windows shell.
=============================================
jerryzhujian9_at_gmail.com
Tested under python 2.7
To see your python version
in terminal: python -V
or in python: import sys; print (sys.version)
=============================================
Install:
https://pypi.python.org/pypi/ez
pip install ez
no dependencies

Almost all commands support the usage of '~', '..', '.', '?', '*' in path (ls,fls only support regular expression).
Symbolic link itself is the target of file operations; the actual file should be safe.

see also pyg.py
debug(1/0)
# 0 = everything will be actually executed
# 1 = simulate operations of cp, mv, execute; other commands will be actually performed.
will print out simulated commands, useful for debugging and for counting files when necessary.
error(msg)

readx(path, sheet=0, r=[1,], c=None) # Read xlsx, xls file into a list
savex(path, data, header=None, delimiter=",", sheet_name='Sheet1') # Write a list of list to a xlsx (xlsxwriter), xls(xlwt), csv file

fullpath(path) fp()
pwd() or cwd() # Returns current working director.
csd() # Returns full path of current script directory, i.e. the directory where the running script is.
csf() # Returns current script name without ext.
parentdir(path) pr() # Returns the parent directory of a path.
joinpath(path1[, path2[, ...]]) jp() # Returns the joined path. Supports vectorization.
splitpath(path) sp() # Returns a list of path elements: [path, file, ext]. Supports vectorization.
cd(path) # Changes to a new working directory.
stepfolder(-1)

trim(string,how[,chars]) quote(string)
join(sep,string1,string2), join(sep,array) # Glues together strings with sep. Supports vectorization.
sort(array)
replace(theList,theItem,replacement), remove(theList,theItem)

ls([path[, regex]], full=True, dotfile=False) # Returns a list of all (including hidden) files with their full paths in path, filtered by regular expression.
lsd([path[, regex]], full=False, dotfolder=False)
fls([path[, regex, dotf=False]]) # Returns a list of files with their full paths in flattened path (i.e. walk each subdirectory).
# the filter only works for short file name not for full file name, i.e. the file name itself not its full path
# regular expression is case-sensitive
# usage: ls(); ls(cwd()); ls(cwd(), "\.py$")

mkdir("path/to/a/directory") # Makes a directory (also any one of the "path", "to", "a" directories if not exits).
rn(old, new) # Renames old to new.
exists(path) # Returns the existence of path (0 or 1).
rm(path) # Deletes a file or folder. Supports wildcards, vectorization.
cp(source, destination) # Copies source file(s) or folder to destination. Supports wildcards, vectorization.
mv(source, destination) # Moves source file(s) or folder to destination. Supports wildcards, vectorization.

sprintf(formatString, *args, **kwargs)
evaluate(exp)
# Executes a shell command
# execute/esp/espR no capture output (subprocess.call), execute1 discard--not return--captured, execute2 captures output (subprocess.Popen)
execute, execute1, execute2
esp, esp1, esp2 # execute sprintf shell commands
espR, espR1, espR2 # execute sprintf R codes
with nooutput():
print 'this is will not be printed in stdout'
pprint(text,color='green') # color print; ppprint() # "pretty-print" arbitrary Python data structures
beep() # Beeps to notify user.
which(name) # Prints where a module is and in which module a function is. which('python') returns which python is being used.
help(name)/doc(name) # name is a string, Prints the doc string of a module/class/function
when write a module, add:
__doc__ = three double quotes blabla three double quotes <-----this is module's docstring, use explicit

when write a function/class:
def function(arg):
three double quotes Returns, blabla three double quotes <-----this is function's doctoring, use implicit
return sth
ver(package_name) version(package_name), see a package's version. package_name could be 'python'
whos(name),whos() list imported functions/packages

logon(file="log.txt", mode='a', status=True, timestamp=True), logoff()

tree([path[, sum=True, save=None, sort=True, case=True]) # Prints a directory tree structure.
sum=True (default) prints only folders, i.e., print less to show the big structure
sum=False prints files plus folders

[starts, ends] = regexp(string, pattern); regexp(string, pattern, method='split/match'), regexpi
regexprep(string, pattern, replace, count=0), regexprepi

iff(expression, result1, result2), ifelse()
clear(module, recursive=False)

num(string)
isempty(s)
Randomize(x), randomize(x) # Sets a randomization seed.
RandomizeArray(list=[]) randomizearray(list=[]) # Shuffles a list in place.
Random(a,b) random(a,b) # Returns a random integer N such that a <= N <= b.
RandomChoice(seq), randomchoice(seq) # Returns a random element from sequence
Permute(iterable=[]) permute(iterable=[]) # Returns permutations in a list

unique(seq), union(seq1,seq2), intersect(seq1,seq2), setdiff(seq1,seq2) in original order
seq could be a list
note: setdiff(seq1,seq2) may not be equal to setdiff(seq2,seq1)
>>> unique('abracadaba')
['a', 'b', 'r', 'c', 'd']
>>> unique('simsalabim')
['s', 'i', 'm', 'a', 'l', 'b']
>>>
>>> setdiff('abracadaba','simsalabim')
['r', 'c', 'd']
>>> setdiff('simsalabim','abracadaba')
['s', 'i', 'm', 'l']
duplicate(seq) # returns a list of duplicated elements in original order
# e.g.
# a = [1,5,2,3,2,1,5,6,5,5,5]
# duplicate(a) # yields [2, 1, 5]

JDict() # Jerry's dictionary, customized ordered dictionary class with convient attributes and methods, see help(JDict)
Moment(timezone) # Generates the current datetime in specified timezone, or local naive datetime if omitted.

SetClip(content), setclip(content) # Copy/Write something to current clipboard
content = GetClip(), content = getclip() # Read out content from current clipboard and assign to a variable

lines(path='.', pattern='\.py$|.ini$|\.c$|\.h$|\.m$', recursive=True) # Counts lines of codes, counting empty lines as well.
keygen(length=8, complexity=3) # generate a random key
hashes(filename): # Calculate/Print a file's md5 32; sha1 32; can handle big files in a memory efficient way
pinyin() pinyinauthor()
encoding_detect(), encoding_convert()
hanzifreq()
pipe usage: # http://0101.github.io/pipetools/doc/
# result = [1,2,3,0] > ez.pipe | len | str
# countdown = ez.pipe|(range, -1)|reversed|ez.pipetools.foreach('{0}...')|' '.join|'{0} boom'; countdown(5)





To avoid typing email password each time, place a file named pygmailconfig.py with
EMAIL = 'someone@gmail.com'
PASSWORD = 'abcdefghik'
or better pygmailconfig.pyc
in the site-packages/ez folder, check with ez.which('ez')
The functions will no longer need email/password and become like this
Mail(to, subject, body, attach=None), AddEvent(event), Sheet(fileName)

Mail([EMAIL, PASSWORD, ] to, subject, body, attachment=None, bcc=None, cc=None, reply_to=None)
to/bcc/cc: ['a@a.com','b@b.com'] or 'a@a.com, b@b.com'
reply_to: 'a@a.com'
attachment: 'file_in_working_dir.txt' or ['a.txt','b.py','c.pdf']
AddEvent([EMAIL, PASSWORD, ] event) on DATE at TIME for DURATION in PLACE

Sheet([EMAIL, PASSWORD, ] fileName)
returns a sheet object representing "Sheet 1"

your google account doesn't have to the owner of this sheet, as long as you can edit it.
but you need to initialize/create this sheet and maybe the header by hand to begin with
the header could have spaces, ? etc, and when they are used as the keywords of dictionary, they are all converted to lowercase and all illegal characters are removed e.g. Delayed Test_date? --> delayedtestdate

fileName should be unique, can have spaces


GetRows(query=None, order_by=None,
reverse=None, filter_func=None)
:param query:
A string structured query on the full text in the worksheet.
[columnName][binaryOperator][value]
Supported binaryOperators are:
- (), for overriding order of operations
- = or ==, for strict equality
- <> or !=, for strict inequality
- and or &&, for boolean and
- or or ||, for boolean or.
:param order_by:
A string which specifies what column to use in ordering the
entries in the feed. By position (the default): 'position' returns
rows in the order in which they appear in the GUI. Row 1, then
row 2, then row 3, and so on. By column:
'column:columnName' sorts rows in ascending order based on the
values in the column with the given columnName, where
columnName is the value in the header row for that column.
:param reverse:
A string which specifies whether to sort in descending or ascending
order.Reverses default sort order: 'true' results in a descending
sort; 'false' (the default) results in an ascending sort.
:param filter_func:
A lambda function which applied to each row, Gets a row dict as
argument and returns True or False. Used for filtering rows in
memory (as opposed to query which filters on the service side).
:return:
A list of row dictionaries.


UpdateRow(row_data):
Update Row (By ID).

Only the fields supplied will be updated.
:param row_data:
A dictionary containing row data. The row will be updated according
to the value in the ID_FIELD.
:return:
The updated row.


UpdateRowByIndex(index, row_data):
Update Row By Index

:param index:
An integer designating the index of a row to update (zero based).
Index is relative to the returned result set, not to the original
spreadseet.
:param row_data:
A dictionary containing row data.
:return:
The updated row.


InsertRow(row_data):
Append Row at the end

:param row_data:
A dictionary containing row data.
:return:
A row dictionary for the inserted row.


DeleteRow(row):
Delete Row (By ID).

Requires that the given row dictionary contains an ID_FIELD.
:param row:
A row dictionary to delete.


DeleteRowByIndex(index):
Delete Row By Index

:param index:
A row index. Index is relative to the returned result set, not to
the original spreadsheet.


DeleteAllRows():
Delete All Rows

Project details


Release history Release notifications | RSS feed

This version

4.3.4

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ez-4.3.4.tar.gz (956.2 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page