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scrapping pole emploi comme un pro
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# -*- coding: utf-8 -*-
# encoding: utf--8
from random import shuffle
from pyquery import PyQuery as P
from archery.bow import Daikyu as mdict, ExpDict as edict
from archery import cos
import requests
from json import dumps, loads, load
from xml.dom import minidom
import textwrap
import re
from time import sleep
from os import environ as env, makedirs, path, startfile as sf, walk
import string
from functools import reduce
HEADER = u"""<html lang="fr">
<head>
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<style>
@import url(http://fonts.googleapis.com/css?family=Crimson+Text);
body {
font-family:'Crimson Text', 'Georgia', serif !important;
font-size: 20px;
color: #000; }
a {
margin-left:.3em; color:#003;
text-decoration:none;
border-bottom: 1px dashed black;
border-radius:0
}
.new::before {
content: "! ";
color: yellow;
text-shadow:rgba(0,0,0,.6) 2px 2px 0px;
font-weight: bold;
}
a:visited { color:#123;}
h1 { font-size:100%; font-weight:normal }
.numero { visibility:hidden }
li { list-style: none;padding-top:.1em; padding-bottom:.1em;padding-left:2em; padding-right:2em; }
tr:nth-child(odd) > td, li:nth-child(odd) {
background: #ccc; border-radius:.6em;
}
li:nth-child(even), tr:nth-child(even)> td {
background: white; border-radius:.6em;
}
.entete:first-child {
margin-top:1.59em;
}
.entete > div {
margin-left:10em;
}
pre .caca {
background-color:#adcd0d;
}
.poo {
width:32px;
height:32px;
display:inline-block;
margin-left:0 !important;
background-image: url(data:image/png;base64,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);
}
pre > b {
background-color:yellow;
}
.entete {
text-shadow: rgba(0,0,0,.6) .08em .08em 1px;
margin-left:.5em; display:block; margin-top:.1em;
margin-bottom:3px; border-radius: 15px;background:#46A;color:white;
padding:.1em;font-size: 1.3em;text-align:center ; border-bottom:0px; border-bottom:0px;
}
.footer { z-index:4;margin: auto;margin-left:-.5em;
background:#46A;color:white;padding:.2em;font-size: .8em;
text-align:center; position:fixed; top:0px;width:100%; }
</style>
<title>127.0.0.1 suss Heim</title>
<script src='http://code.jquery.com/jquery-latest.min.js' type='text/javascript' ></script>
<script>
$( document ).ready( function() {
var col = [ "#66a", "#76a", "#86a", "#96a", "#86a",
"#76a", "#66a", "#56a" ];
var coll =col.length;
$(".entete").next().hide();
var tt = $(".entete");
for(var i = 0; i<tt.length;i++) {
$($(".entete")[i]).css("background-color",col[i%coll])
}
$(function() {
$(".entete").click( function() {
$(this).next().toggle();
} ) }
);
} )
</script>
</head>
<body>
<div class=footer>What The Fuck Public Licence v3.14159 jul //<a
href=http://gist.github.com/jul/6652373>source</a> //<a
name=top onclick='$(window).scrollTop(0)'>haut
</a>
</div>
<div style="width:90%;margin-top:-.4em;margin-left:auto; margin-right:auto">
"""
def set_at(a_dict, path):
here = a_dict
for p in path[:-2]:
here = here[p]
here[path[-2]]=path[-1]
def get_at(a_dict, path):
here = a_dict
for p in path:
here = here[p]
return here
class Mapper(object):
def __init__(self):
with open("./france.html", "r") as f:
Mapper.map_template = f.read()
def __call__(self, title, _color):
color = mdict(_color.copy()) * 1.0
color /= max(color.values()) / 255
print( color)
color = { "%02d" % int(k[:2]) : "#%02x%02xFF" % (int(v),int(v)) for k,v in color.items()}
temp_file = path.join(Serializer.BASE_STORAGE, "carte.html")
pp(color)
with open(temp_file, "w") as f:
f.write(Mapper.map_template % dict(color=dumps(color, indent=4), title = title))
ff(temp_file[:-5])
mad_mapper=Mapper()
def detect_smell(offer):
to_detect = mdict(
viandard = {'pour': 0.4860371364786036, 'compte': 0.4860371364786036,
'recherchons': 0.2430185682393018, 'recrutons': 0.2430185682393018,
'recherche': 0.2430185682393018, 'recrute': 0.2430185682393018,
'grand': 0.2430185682393018, 'client': 0.4819187497721559},
startup = {'agile': 0.26767933940178323,
'ambiance': 0.12785717026283078,
'convivial': 0.13383966970089162,
'conviviale': 0.12785717026283078,
'esprit': 0.13383966970089162,
'innovation': 0.13383966970089162,
'nosql': 0.13383966970089162,
'scrum': 0.26767933940178323,
'soirées': 0.13383966970089162,
'start-up': 0.5353586788035665,
'startup': 0.669198348504458},
elitiste = {
"ingénieur" : .25,
"BAC+5" : .25,
"rigueur": .25,
"autonomie" : .25,
},
)
stack = []
for p in edict(offer):
cosinus = mdict()
if "description" == p[-2]:
vword = word_count(p[-1])
for smell, vect in to_detect.items():
cosinus += mdict({smell : round(cos(mdict(vword),mdict(vect)),4)})
stack+= [ p[:-2] + ("smell", cosinus) ]
for p in stack:
set_at(offer, p)
# print (p)
tw = lambda s : textwrap.fill(s, width=80,replace_whitespace=False,break_long_words=False,)
pp = lambda s: print(dumps(s, indent=4))
pretty = lambda el: minidom.parseString("<html>%s</html>" % el.html() ).toprettyxml().replace("\t", " ")
MARKER = object()
ff = lambda offer: sf(Serializer.get_base_path(offer) + ".html")
class Serializer(object):
BASE_STORAGE = path.join(env.get("HOME", "~"), "cache_offre")
file_hit_miss = [0,0]
l1_hit_miss = [0,0]
L1 = edict()
HIT=0
MISS=1
MISSED_CONTENT = (MARKER, MARKER)
@staticmethod
def get_base_path(id_str):
return path.join(Serializer.BASE_STORAGE, id_str[-2:], id_str)
@staticmethod
def retrieve(offer_id):
content, meta = MARKER, MARKER
if offer_id in Serializer.L1:
Serializer.l1_hit_miss[Serializer.HIT] += 1
return Serializer.L1[offer_id]
Serializer.l1_hit_miss[Serializer.MISS] += 1
try:
with open(Serializer.get_base_path(offer_id) + ".html") as f:
content = f.read()
with open(Serializer.get_base_path(offer_id) + ".json") as f:
meta = mdict(loads(f.read()))
Serializer.L1[offer_id] = (content, meta)
except Exception as e:
Serializer.file_hit_miss[Serializer.MISS]+=1
raise KeyError(offer_id)
Serializer.file_hit_miss[Serializer.HIT]+=1
return content, meta
@staticmethod
def stat():
l1_hit, l1_miss = Serializer.l1_hit_miss
file_hit, file_miss = Serializer.file_hit_miss
print("""
L1 hit/miss = %.2f (%d/%d)
file hit/miss = %.2f (%d/%d)
""" % (
l1_hit +l1_miss and l1_hit/(l1_hit +l1_miss) *100 or -1.0, l1_hit, l1_miss,
file_hit +file_miss and file_hit/(file_hit +file_miss) *100 or -1.0, file_hit, file_miss,
))
@staticmethod
def store(offer_id, offer_content, meta=MARKER):
if offer_id not in Serializer.L1:
file_prefix = Serializer.get_base_path(offer_id)
try:
makedirs(path.split(file_prefix)[0])
except Exception as e:
pass
with open(file_prefix + ".html", "wt") as f:
f.write(pretty(offer_content))
if not meta is MARKER:
with open(file_prefix + ".json", "wt") as f:
f.write(dumps(meta, indent=4))
class CompetenceFormat( object ):
def __init__( self ):
self.num = 0
def __call__( self, match ):
self.num+=1
return "<b>%s (%d)</b>" % (match.groupdict()["requis"],self.num)
def reformateur(a_dict, key, what, _with):
nb=0
for k in key:
txt = a_dict.get(k,"")
txt, tnb = re.subn(
what,
_with,
txt,
flags=re.I
)
a_dict[k] = txt
nb+=tnb
return nb
def read_offer(el, url):
pas_formation = "NC"
try:
text = el.text()
annonce = mdict(**re.search(r"""
(Publi|Actualis).\ le\s(?P<actualise>\d+\ [a-z]+\ \d{4,4})
.*offre\ n.\ (?P<offre>\S+)[\n.]*
.*
Type\ de\ contrat\n
(?P<type_contrat>[^\n]+)
.*
Salaire\n
(?P<salaire>[^\n]+)
.*
Exp.rience\n
(?P<experience>[^\n]+)
.*
#(Informations\ compl.mentaires\n)?
#(?P<complement>.*)$
""", text, re.DOTALL|re.M|re.X).groupdict())
formation = re.search(r"""(Formation)\n
(?P<formation>[^\n]+)?
""", text, re.DOTALL| re.M| re.X)
offre = annonce["offre"]
annonce += formation and formation.groupdict() or mdict(formation = pas_formation)
except Exception as e:
raise(e)
annonce = mdict({ annonce["offre"] : mdict(
description = P(".description",el).text().replace(" -", "\n -") +\
"\n" + annonce.get("formation", pas_formation),
titre = P("h2.t2.title", el).text(),
url = url,
local = Serializer.get_base_path(annonce["offre"])+ ".html",
niveau = P(P("h4.t6 + ul > li > span", el)[0]).text(),
habilete = "\n- ".join(P(i).text() for i in P("h4.t6 + ul > li > span", el)[1:]),
) + mdict(annonce)
})
numereur = CompetenceFormat()
nb_requis = reformateur(annonce[offre], {"habilete",},
r"""(?P<requis>[\n^].*)(Ce|Cette)( \S+ )(est )(indispensable|éxigé)""",
numereur,
)
nb_caca = reformateur(annonce[offre], {"habilete", "description"},
r"""([^a-zA-Z0-9_])(?P<langage>VB|digitale?|un de nos clients|C\+\+|BAC\+5|C#|PHP\d|PHP|Java|alternance|stage|SSII|grands? comptes?|renforcer|J2EE|Javascript|\.net|cobol|angular|start\-up|STB|android|savoir..?etre|diplomatie|stress|wordpress|photoshop|backbone|flexible|agile|scrum|conviviale?|fun|ios|react|cloud|symfony|MS\-?SQL|mysql|MySql|MYSQL|INTERIM|mission à pourvoir)([^a-zA-Z0-9_])""",
r"""\1<b class=caca>\g<langage></b>\3"""
)
reformateur(annonce[offre], {"habilete", "description"},
r"""(\W)(?P<langage>postgres|jquery|python|Perl|VHDL)(\W)""",
r"""\1<b >\g<langage></b>\3"""
)
#from pdb import set_trace
##raise(e)
#set_trace()
annonce[offre]["exigence"] = nb_requis
annonce[offre]["caca"] = '<div class=poo ></div>' * ( nb_caca + ( nb_requis > 10 and (nb_requis -10) or 0))
return annonce
class PagedResearch(object):
PREF=dict(
offresPartenaires = "false",
rayon=0,
tri = 1,
emission=3,
)
base_url="https://candidat.pole-emploi.fr/"
template_path = "/offres/recherche" + \
":afficherplusderesultats/%(begin)d-%(end)d"
def __init__(self, **research):
self.research = PagedResearch.PREF.copy()
self.research.update(research)
self.rank = mdict(begin=0,end=9)
self.cookies = None
self.templlate_url = PagedResearch.base_url + PagedResearch.template_path
def get_offers(self):
sleep(.01)
url = self.current_url = self.templlate_url % self.rank
headers = self.rank["begin"] and {"X-Requested-With" : "XMLHttpRequest"} or dict()
req = requests.post(
## no requests, dont url encode my arguments
## this is a french website that does not understand web standards
url + "?" + "&".join("%s=%s" % (k,v) for k,v in self.research.items()),
headers = headers,
#params = self.research,
cookies = self.cookies,
)
self.rank+=10
self.cookies = req.cookies
page = P(req.text)
page.make_links_absolute(base_url=PagedResearch.base_url)
job = P(".media a",page)
link = { P(j).attr("href") for j in job }
link = { l for l in link if "pole-emploi.fr/offres/recherche/detail" in l}
return link
recherche = PagedResearch(lieux=63113)
a= recherche.get_offers()
def word_count( unicode_text ):
exclude = set(string.punctuation) - { "+", }
def clean(exlcude):
def _clean(word):
return ''.join(ch for ch in word if ch not in exclude)
return _clean
sp_pattern = re.compile( """[\.\!\"\s\-\,\']+""", re.M)
res = mdict()
for word in map( clean(exclude),
map( str.lower, sp_pattern.split(unicode_text ))
):
res += mdict({ word : 1 })
return res
def parse_page(link):
res = edict()
to_show=False
for annonce in link:
offer_id = annonce.split("/")[-1]
meta = None
try:
content, meta_offer = Serializer.retrieve(offer_id)
print(".",end='')
#backward correction
meta_offer[list(meta_offer.keys())[0]] += mdict(
formation="", fresh="")
meta_offer[list(meta_offer.keys())[0]]["caca"] = ""
except KeyError as e:
sleep(.01)
print("*",end='')
content = P( annonce)
content = P(".modal-details-offre > .modal-dialog > .modal-content-container > .modal-body",content)
meta_offer = read_offer(content, annonce)
content.prepend("<a href=%s>Lien original</a><br>" % annonce)
content.append("<pre>%s</pre>" % dumps(meta_offer, indent=4))
Serializer.store(offer_id, content, meta_offer)
meta_offer[list(meta_offer.keys())[0]]["fresh"]="new"
to_show= True
meta_offer[list(meta_offer.keys())[0]]["description"] = tw(meta_offer[list(meta_offer.keys())[0]]["description"] )
titre = meta_offer[list(meta_offer.keys())[0]]["titre"]
#print(titre)
#FILTRE vire aussi javascript
#if 0 and "java" in titre.lower() or "php" in titre.lower():
# print("pouha %s" % titre)
# pp(meta_offer)
#else:
# res += meta_offer
res += meta_offer
detect_smell(res)
return res
#res= parse_page(a)
#res+=parse_page(recherche.get_offers())
#pp(res)
#pp(sum(mdict({v["titre"] : 1}) for k, v in res.items() ))
#e=edict(res)
lf = lambda res: print("\n".join([ tw("""
%(titre)s (%(actualise)s)
--------------------------------------------------------------------------------
%(url)s
%(local)s
--------------------------------------------------------------------------------
%(description)s
--------------------------------------------------------------------------------
#""" % i) for i in res.values() ]))
def mhs(res):
if not res or not len(res):
print("Nothing to show")
return MARKER
temp_file = path.join(Serializer.BASE_STORAGE, "session.html")
with open(temp_file, "w") as f:
f.write(HEADER + "\n".join([tw("""
<h1 class="entete %(fresh)s" >%(titre)s <i>(%(actualise)s)</i> %(caca)s %(smell)r</h1>
<ul>
<li>
<a href="%(url)s" target="_blank">sur le site</a><br/>
<a href="file:///%(local)s" target="_blank">En cache</a><br/>
<pre style="white-space: pre-wrap; font-family:monospace;width: 72em">
--------------------------------------------------------------------------------
%(description)s
--------------------------------------------------------------------------------
%(habilete)s
</pre>
%(formation)s
<br/>
</li>
</ul>""") % i for i in res.values()
]) + "</body></html>")
sf(temp_file)
prod = lambda *l : reduce(lambda x,y: x*y,l)
#d= prod(map(lambda s: word_count(s[-1]),filter(lambda p : "description" in p, e)))
filter_wc = lambda e: True
def action_wc(subtree, tree, accumulator):
desc = subtree['description']
key = "common" if "python" not in subtree["titre"].lower() else "python"
accumulator +=edict({ key : word_count(desc)})
def add_me(s,t,a): a+=t
def add_and_corr(s,t,a):
t[list(t.keys())[0]] += mdict(formation="")
a+=t
def cache_search(_filter, _action):
accumulator= edict()
many=0
for root, subFolders, files in walk(Serializer.BASE_STORAGE):
for _file in files:
if _file.endswith(".json"):
with open( path.join(root, _file)) as f:
tree= edict(load(f))
detect_smell(tree)
subtree=list(tree.values())[0]
if _filter(subtree):
many+=1
print("." * (many%10==0),end='')
_action(subtree, tree, accumulator)
return accumulator
def load_cache(function=MARKER):
return cache_search(
lambda e: True,
function is MARKER and add_me or function
)
class Search(object):
prev_offer = MARKER
fake_news = 0
real_news = 0
def next(self, batch=MARKER, show=True):
batch = batch is MARKER and 2 or batch
res = mdict()
while batch:
loaded_job_offer=self.crawler.get_offers()
loaded_job_offer = dict(map(lambda l:(l.split("/")[-1],l) , loaded_job_offer))
self.presented_last_session = len(set(loaded_job_offer))
new=set(map(
lambda of_id: loaded_job_offer[of_id],
set(loaded_job_offer) - set(Search.prev_offer.keys() )
))
Search.fake_news +=len(set(loaded_job_offer))
Search.real_news += len(new)
batch -= 1
res += parse_page(new)
#Search.prev_offer+=res
self.session+=res
if show:
mhs(res)
else:
return res
def flush(self):
self.session = mdict()
def __init__(self, what, **detail):
self.what, self.opt = what, detail
if Search.prev_offer is MARKER:
print("loading cache")
Search.prev_offer = load_cache()
print("\n%d elements loaded" % len(Search.prev_offer))
self.presented_last_session = 0
self.crawler = PagedResearch(motsCles=what,**detail)
self.flush()
sud_region = [ "76R", "75R" ]
sud = list(map(lambda e: e+"D", set("83 06 04 84 30 34 11 06 09 31 85 84 40 32 82 "
"81 12 48 07 26 13 84 26 07 43 15 12 46 47 33 24 19 63 42 69 38 73 74 05 39 "
"71 21 58 18 36 23 19 87 16 17 85 79 37 36 18 88".split())))
shuffle(sud)
class gatling(object):
mad_mapper=Mapper()
stat = mdict()
def continuous_fire(self):
while True:
self.next()
def burst(self):
self.next()
def next(self):
so_far=mdict()
remaining_try = min(30,max(10, 2*len(self.lieux)))
last_stat=0
if len(self.internal) == len(self.depleted):
pp(self.stat)
Serializer.stat()
print("Offre supposées nouvelles,vraiment nouvelles %4d/%4d" % (Search.fake_news, Search.real_news))
raise Exception("offers depleted")
while len(so_far) < 10 and remaining_try and len(self.internal) > len(self.depleted):
while self.lieux[self.cursor] in self.depleted:
print("(%s) " % self.lieux[self.cursor], end="")
self.cursor = (self.cursor + 1) % len(self.internal)
current = self.internal[self.cursor]
here = self.lieux[self.cursor]
print(here, end=" ")
so_far += current.next(1,False)
if not current.presented_last_session:
print("--%s "% here,end="")
self.depleted |= { here }
gatling.stat += mdict( { here : len(so_far) - last_stat })
last_stat = len(so_far)
self.cursor = (self.cursor + 1) % len(self.internal)
remaining_try -=1
if not remaining_try:
print("reuse .next() we already scanned a lot (avoiding blacklisting)")
Serializer.stat()
pp(self.stat)
print("Offre supposées nouvelles,vraiment nouvelles %4d/%4d" % (Search.fake_news, Search.real_news))
mad_mapper(self.wut + repr(self.opt), self.stat)
mhs(so_far)
def __init__(self, wut, lieux, **opt):
self.cursor = 0
self.wut = wut
self.opt = opt
self.lieux = lieux
self.internal = []
self.depleted = set()
for l in lieux:
opt["lieux"]= l
self.internal += [ Search(wut,**opt) ]
#res_word_count = { k[:-1]:k[-1] for k in cache_search(filter_wc, action_wc).search(lambda p: p[-1]>20)}
#python = cache_search(lambda t: "python" in t["titre"].lower() , add_and_corr)
fast = lambda kw,**opt: mhs(parse_page(PagedResearch(motsCles=kw,**opt).get_offers()))
# [ P(i).text() for i in P("h2, h1, h3,h4,h6 ", j) ]
# [ P(i).text() for i in P("h2 + * , h1 + *, h3 + *,h4 + *,h5 + *, h6 + * ", j) ]
# from xml.dom import minidom
# print( minidom.parseString("<html>" + j.html() + "</html>").toprettyxml().replace("\t", " "))
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