AIL-framework/bin/packages/lib_words.py

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import os
import string
from pubsublogger import publisher
import calendar
from datetime import date
from dateutil.rrule import rrule, DAILY
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def listdirectory(path):
"""Path Traversing Function.
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:param path: -- The absolute pathname to a directory.
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This function is returning all the absolute path of the files contained in
the argument directory.
"""
fichier = []
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for root, dirs, files in os.walk(path):
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for i in files:
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fichier.append(os.path.join(root, i))
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return fichier
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clean = lambda dirty: ''.join(filter(string.printable.__contains__, dirty))
"""It filters out non-printable characters from the string it receives."""
def create_dirfile(r_serv, directory, overwrite):
"""Create a file of path.
:param r_serv: -- connexion to redis database
:param directory: -- The folder where to launch the listing of the .gz files
This function create a list in redis with inside the absolute path
of all the pastes needed to be proceeded by function using parallel
(like redis_words_ranking)
"""
if overwrite:
r_serv.delete("filelist")
for x in listdirectory(directory):
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r_serv.lpush("filelist", x)
publisher.info("The list was overwritten")
else:
if r_serv.llen("filelist") == 0:
for x in listdirectory(directory):
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r_serv.lpush("filelist", x)
publisher.info("New list created")
else:
for x in listdirectory(directory):
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r_serv.lpush("filelist", x)
publisher.info("The list was updated with new elements")
def create_curve_with_word_file(r_serv, csvfilename, feederfilename, year, month):
"""Create a csv file used with dygraph.
:param r_serv: -- connexion to redis database
:param csvfilename: -- the path to the .csv file created
:param feederfilename: -- the path to the file which contain a list of words.
:param year: -- (integer) The year to process
:param month: -- (integer) The month to process
This function create a .csv file using datas in redis.
It's checking if the words contained in feederfilename and
their respectives values by days exists. If these values are missing
(Word not present during a day) it's will automatically put a 0
to keep the timeline of the curve correct.
"""
a = date(year, month, 01)
b = date(year, month, calendar.monthrange(year, month)[1])
days = {}
words = []
with open(feederfilename, 'rb') as F:
# words of the files
for word in F:
# list of words (sorted as in the file)
words.append(word[:-1])
# for each days
for dt in rrule(DAILY, dtstart=a, until=b):
mot = []
mot1 = []
mot2 = []
days[dt.strftime("%Y%m%d")] = ''
# from the 1srt day to the last of the list
for word in sorted(words):
# if the word have a value for the day
if r_serv.hexists(word, dt.strftime("%Y%m%d")):
mot1.append(str(word))
mot2.append(r_serv.hget(word, dt.strftime("%Y%m%d")))
mot = zip(mot1, mot2)
days[dt.strftime("%Y%m%d")] = mot
else:
mot1.append(str(word))
mot2.append(0)
mot = zip(mot1, mot2)
days[dt.strftime("%Y%m%d")] = mot
with open(csvfilename+".csv", 'wb') as F:
F.write("Date," + ",".join(sorted(words)) + '\n')
for x, s in days.items():
val = []
for y in s:
val.append(y[1])
F.write(x + ',' + str(val) + '\n')
with open(csvfilename+".csv", 'rb') as F:
h = F.read()
h = h.replace("[", "")
h = h.replace("]", "")
h = h.replace('\'', "")
with open(csvfilename+".csv", 'wb') as F:
F.write(h)