#! /usr/bin/python3
"""
Common corpus management
changelog v0.3: No fixed "corpus_home" container
(must be specified at init)
No workshop_home either (this script_dir instead)
"""
__author__ = "Romain Loth"
__copyright__ = "Copyright 2014-5 INIST-CNRS (ISTEX project)"
__license__ = "LGPL"
__version__ = "0.3"
__email__ = "romain.loth@inist.fr"
__status__ = "Dev"
from os import path, mkdir, rename
from shutil import rmtree, move
from re import match, search, sub, escape, MULTILINE
from csv import DictReader
from collections import defaultdict
from subprocess import call
from json import dump, load
# pour utilisation autonome
# corpusdirs.py new_corpus_name -t info_table.tsv
from argparse import ArgumentParser, RawDescriptionHelpFormatter
from sys import argv
# imports locaux
try:
# CHEMIN 1 cas de figure du dossier utilisé comme librairie
# au sein d'un package plus grand (exemple: bib-adapt-corpus)
from libconsulte import api
from libconsulte import field_value_lists
# =<< target_language_values, target_scat_values,
# target_genre_values, target_date_ranges
except ImportError:
try:
# CHEMIN 2: cas de figure d'un appel depuis le dossier courant
# exemple: on veut juste lancer le sampler tout seul
import api
import field_value_lists
# cas de figure où il n'y a vraiment rien
except ImportError:
print("ERR: Les modules 'api.py' et 'field_value_lists.py' doivent être placés à côté du script corpusdirs.py ou dans un dossier du PYTHONPATH, pour sa bonne execution...")
exit(1)
# Infos structurelles de corpus par défaut
BSHELVES = {
# basic set ----------------------------------------------------------
'PDF0': {'d':'A-pdfs', 'ext':'.pdf', 'api':'fulltext/pdf'},
'XMLN': {'d':'B-xmlnatifs', 'ext':'.xml', 'api':'metadata/xml'},
'GTEI': {'d':'C-goldxmltei', 'ext':'.tei.xml'},
# --------------------------------------------------------------------
}
# pour trouver etc/dtdmashup et etc/pub2TEI installés avec ce fichier
THIS_SCRIPT_DIR = path.dirname(path.realpath(__file__))
class Corpus(object):
"""
A collection of docs with their metadata
and their diverse input text formats.
Usual slots:
-self.meta
-self.shelfs
2nd step
-self.cols
-self.fileids
"""
# ------------------------------------------------------------
# C O R P U S I N I T
# ------------------------------------------------------------
# £TODO absolument une dir extraite de s1 sous la forme read_dir
def __init__(self, ko_name, new_infos=None, new_home=None,
read_dir=False, corpus_type='gold',
verbose=False, shelves_struct=None):
"""
2 INPUT modes
-IN: *new_infos* : a metadata table (eg sampler output)
(no fulltexts yet, no workdir needed)
+ *new_home* : the container dir (ex: '.')
-IN: *read_dir* : path to an existing Corpus dir
(with data/ and meta/ subdirs, etc.)
+ *new_home* : the container dir (ex: '.')
In both modes: *new_home* is THE_CONTAINER DIR (private _home)
+ *shtruct* is A_SHELVES_STRUCTURE (private _shtruct)
=> shtruct = BSHELVES (Corpus obj)
=> shtruct = UPDATED_SHELVES (TrainingCorpus obj)
+ *type* option
=> type = 'gold' (Corpus obj)
=> type = 'train' (TrainingCorpus obj)
+ *verbose* option (for init)
OUT: Corpus instance with:
self.bnames
-----------
= basenames created for each file (from new_infos[id])
self.shelfs
-----------
~ structured persistance layers (currently fs based)
=> provides shelfs subdir, file ext and fileids(shname)
and also: self.meta self.cols self.name self.cdir
--------- --------- --------- ---------
"""
if not new_home or not path.exists(new_home):
print("Please provide an existing container directory to save the corpus directory into (current:%s)" % new_home)
raise FileNotFoundError(new_home)
# VAR 1: **home** our absolute container address ----------
# (version absolue du chemin de base indiqué à l'initialisation)
self._home = path.abspath(new_home)
# VAR 2: **shtruct** the structure of "shelves" (subdirs) -
# (structure for each possible shelf of this instance)
# 4 possibilités ici :(
# (1/4) si lecture ET l'argument shelves_struct est à None:
# => on a une lecture simple comme take_set
if read_dir and not shelves_struct:
# reprise table persistante shelves_map telle qu'elle était la dernière fois
# mini-TODO: factoriser la vérif de read_dir qui est plus loin pour cdir...
map_path = path.join(read_dir,'meta','shelves_map.json')
shmap = open(map_path,'r')
self._shtruct = load(shmap)
shmap.close()
# (2/4) ==> on a une lecture + extension
# (le corpus pourra avoir de nouvelles étagères)
# (on est sans doute appelés comme super.__init__())
elif read_dir and shelves_struct:
# la table la plus récente a dû être fournie
self._shtruct = shelves_struct
# (3/4) et (4/4)
# => *initialisations* avec ou sans valeur fournie
else:
# initialisation standard
if not shelves_struct:
# on prend la valeur par défaut
self._shtruct = BSHELVES
# initialisation directement étendue
else:
self._shtruct = shelves_struct
# VAR 3: >> name << should be usable in a fs and without accents (for saxonb-xslt)
if type(ko_name) == str and match(r'[_0-9A-Za-z-]+', ko_name):
self.name = ko_name
else:
raise TypeError("new Corpus('%s') needs a name str matching /^[0-9A-Za-z_-]+$/ as 1st arg" % ko_name)
# VAR 4: **cdir** new dir for this corpus and subdirs ----------
if not read_dir:
self.cdir = path.join(new_home, ko_name)
mkdir(self.cdir)
mkdir(path.join(self.cdir,"data")) # pour les documents
mkdir(path.join(self.cdir,"meta")) # pour les tables etc.
else:
# remove any trailing slash
read_dir = sub(r'/+$', '', read_dir)
read_root, read_subdir = path.split(read_dir)
if not len(read_root):
read_root='.'
# check correct corpora dir
if not path.samefile(read_root, new_home):
print("WARN: reading a corpus in dir '%s' instead of default '%s'"
% (read_root, new_home) )
# check correct corpus dir name
if read_subdir != ko_name:
raise TypeError("""
ERROR -- Corpus(__init__ from dir):
=> corpus name '%s' should be same as your dir %s <="""
% (ko_name, read_subdir) )
else:
self.cdir = read_dir
# find corresponding infos
infos_path = path.join(self.cdir,'meta','infos.tab')
try:
fi = open(infos_path,'r') # todo idem pour triggers
except FileNotFoundError as fnf_err:
fnf_err.pi_mon_rel_path = path.join(ko_name, 'meta','infos.tab')
raise fnf_err
# read in from meta/infos.tab to RAM
new_infos = [l.rstrip() for l in fi.readlines()]
fi.close()
if verbose:
print(".rawinfos << %s" % infos_path)
# VAR 5: >> shelfs << (index de flags pour "sous-dossiers par format")
# shelfs refer to dirs of docs
# of a given format
self.shelfs = {}
# 'shelf_triggers.json' <=> presence/absence flags for each shelf
trig_path = path.join(self.cdir,'meta','shelf_triggers.json')
if read_dir:
# initialize shelfs from meta shelf_triggers.json
try:
triggrs = open(trig_path,'r')
self.shelfs = load(triggrs) # json.load
triggrs.close()
# or old way: initialize shelfs from subdir presence
except:
print("No saved shelf_triggers.json, regenerating from dirs")
for shname in self._shtruct:
if path.exists(self.shelf_path(shname)):
self.shelfs[shname] = True
else:
self.shelfs[shname] = False
# persistence of shelf presence/absence flags
self.save_shelves_status()
# ajout pour un corpus étendu:
# initialize all other new shelves as empty
for shname in self._shtruct:
if shname not in self.shelfs:
self.shelfs[shname] = False
else:
# initialize empty
for shname in self._shtruct:
self.shelfs[shname] = False
# ex: {
# 'PDF0' : False, # later: self.shelf[shname] to True
# 'NXML' : False, # if and only if the fulltext files
# 'GTEI' : False, # have already been placed in their
# } # appropriate subdir
# VARS 6 and 7: >> meta << and >> cols << lookup tables --------
if new_infos:
# as source in usual INIT mode: directly with new_infos lines
# + also go here in READ mode with info lines retrieved from fs
# (only exception is empty inits)
# a simple csv reader (headers as in sampler.STD_MAP)
records_obj = DictReader(new_infos, delimiter='\t')
# required headers: istex_id, corpus
# ----- metadata
# meta: table where each rec
# is a dict with always
# the same keys
self.meta = [rec for rec in records_obj]
# cols: same but transposed
# for column access
self.cols = self._read_columns()
if verbose:
print(".cols:")
print(" ├──['pub_year'] --> %s" % self.cols['pub_year'][0:3] + '..')
print(" ├──['title'] --> %s" % [s[0:10]+'..' for s in self.cols['title'][0:3]] + '..')
print(" └──%s --> ..." % [cname for cname in self.cols if cname not in ['pub_year','title']])
# ----- fileids
# VARS 8: >> bnames << basenames for persistance slots
my_ids = self.cols['istex_id']
my_lot = self.cols['corpus']
self.bnames = []
for i,did in enumerate(my_ids):
self.bnames.append(my_lot[i]+'-'+did)
# ex: wil-0123456789ABCDEF0123456789ABCDEF01234567
# all saved files pertaining to the same document object
# will thus share the same basename, with a different .ext
# usage: [id+lot =>] basenames [=> fileids == fspaths]
if not read_dir:
# SAVE META: infos to filesystem
tab_fh = open(path.join(self.cdir,'meta','infos.tab'),'w')
tab_fh.write("\n".join(new_infos) + "\n")
tab_fh.close()
# SAVE META: basenames
bn_fh = open(path.join(self.cdir,'meta','basenames.ls'),'w')
bn_fh.write("\n".join(self.bnames) + "\n")
bn_fh.close()
# SAVE META: shelfs (flags if some fulltexts already present)
triggrs = open(trig_path,'w')
dump(self.shelfs, triggrs, indent=2) # json.dump
triggrs.close()
# £TODO ici tree.json DATE x PUB
# VARS 9: >> size << (nombre de docs dans 1 étagère)
self.size = len(self.bnames)
else:
self.meta = None
self.cols = None
self.bnames = None
self.size = 0
# VARS 10: >> ctype << (type de corpus)
# (trace volontairement en dur à l'initialisation)
# (à réécrire si et seulement si réinstancié en corpus étendu)
self.ctype = corpus_type
touch_type = open(path.join(self.cdir,"meta","corpus_type.txt"), 'w')
print(self.ctype+'\n', file=touch_type)
touch_type.close()
# print triggers (active/passive shelves)
if verbose:
self.print_corpus_info()
# si on a eu un extension
# (sera différente si et seulement si init objet fille)
self._save_shelves_map()
# ------------------------------------------------------------
# C O R P U S A C C E S S O R S
# ------------------------------------------------------------
# todo memoize
def shelf_path(self, my_shelf):
"""
Returns the standard dir for a shelf:
>> $cdir/data/$shsubdir <<
(it contains the files of a given format)
"""
if my_shelf in self._shtruct:
shsubdir = self._shtruct[my_shelf]['d']
shpath = path.join(self.cdir, 'data', shsubdir)
return shpath
else:
print(self._shtruct) # pour debug
raise KeyError("Unknown shelf %s" % my_shelf)
def filext(self, the_shelf):
"""
File extension for this shelf
"""
# file extension
return self._shtruct[the_shelf]['ext']
def origin(self, the_shelf):
"""
If exists, theoretical api route origin
or processor command origin
for this shelf's contents
"""
# api_route
if 'api' in self._shtruct[the_shelf]:
return self._shtruct[the_shelf]['api']
elif 'cmd' in self._shtruct[the_shelf]:
return self._shtruct[the_shelf]['cmd']
else:
return None
def fileid(self, the_bname, the_shelf,
shext=None, shpath=None):
"""
Filesystem path of a given doc in a shelf
(nb: doesn't check if doc is there)
A utiliser en permanence
"""
# file extension
if not shext:
shext = self._shtruct[the_shelf]['ext']
# standard shelf dir
if not shpath:
shpath = self.shelf_path(the_shelf)
# real file path
return path.join(shpath, the_bname+shext)
def fileids(self, my_shelf):
"""
A list of theoretical files in a given shelf
(filesystem paths)
"""
if my_shelf in self._shtruct:
shext = self._shtruct[my_shelf]['ext']
shpath = self.shelf_path(my_shelf)
# faster than with simpler [_fileid(bn, my_shelf) for bn..]
return [self.fileid(bn, my_shelf, shpath=shpath, shext=shext)
for bn in self.bnames]
else:
print("WARN: Unknown shelf type %s" % my_shelf)
return None
def _read_columns(self):
"""
Function for index transposition (used in __init__: self.cols)
Records are an array of dicts, that all have the same keys
(info lines)
We return a dict of arrays, that all have the same length.
(=> info columns)
"""
records = self.meta
cols = defaultdict(list)
try:
for this_col in records[0].keys():
colarray = [rec_i[this_col] for rec_i in records]
cols[this_col] = colarray
except IndexError as e:
raise(TypeError('Each record in the input array must contain same keys (aka "column names")'))
return cols
def assert_docs(self, shname):
"""
Just sets the shelf flag to true
(we assume the files have been put there)
(and the fileids are automatically known from bnames + shelf_struct)
"""
if shname in self._shtruct:
self.shelfs[shname] = True
def save_shelves_status(self):
"""
Persistence for asserted shelves and their map
"""
trig_path = path.join(self.cdir,'meta','shelf_triggers.json')
triggrs = open(trig_path,'w')
dump(self.shelfs, triggrs, indent=2) # json.dump
triggrs.close()
def _save_shelves_map(self):
"""
Persistence for possible shelves and their structural info.
"""
map_path = path.join(self.cdir,'meta','shelves_map.json')
# write shtruct to meta/shelves_map.json
shmap = open(map_path,'w')
dump(self._shtruct, shmap, indent=2) # json.dump
shmap.close()
def got_shelves(self):
"""
The list of present fulltexts shelves.
"""
all_sorted = sorted(self._shtruct, key=lambda x:self._shtruct[x]['d'])
got_shelves = [sh for sh in all_sorted if self.shelfs[sh]]
return got_shelves
def print_corpus_info(self):
"""
Prints a short list of possible shelves with ON/off status
and basic info: corpus_name and size
"""
print("======= CORPUSDIRS [%s] =======" % self.name)
triggers_dirs = []
for shelf, bol in self.shelfs.items():
on_off = ' ON' if bol else 'off'
ppdir = self._shtruct[shelf]['d']
triggers_dirs.append([ppdir,on_off])
for td in sorted(triggers_dirs):
print(" > %-3s --- %s" % (td[1], td[0]))
print("\n=====( SIZE: %i docs x %i shelfs )=====\n" % (self.size, len(self.shelfs)))
# ------------------------------------------------------------
# C O R P U S B A S E C O N V E R T E R S
# ------------------------------------------------------------
# Most common corpus actions
#
# (manipulate docs and create new dirs with the result)
# GOLD NATIVE XML
def dtd_repair(self, dtd_prefix=None, our_home=None, debug_lvl=0):
"""
Linking des dtd vers nos dtd stockées dans /etc
ou dans un éventuel autre dossier dtd_prefix
"""
if not dtd_prefix:
dtd_prefix = path.abspath(path.join(THIS_SCRIPT_DIR,'etc','dtd_mashup'))
if debug_lvl >= 1:
print("DTD_REPAIR: new dtd_prefix: '%s'" % dtd_prefix)
# corpus home
if not our_home:
our_home = self._home
# ssi dossier natif présent
if self.shelfs['XMLN']:
todofiles = self.fileids(my_shelf="XMLN")
nb_missing = 0
nb_uerrors = 0
nb_no_dtd_wiley = 0
nb_no_dtd_other = 0
# temporary repaired_dir
repaired_dir = path.join(self.cdir, 'data', 'with_dtd_repaired')
if path.exists(repaired_dir):
print ('DTD_REPAIR: overwriting previous aborted reparation')
else:
mkdir(repaired_dir)
for fi in todofiles:
try:
fh = open(fi, 'r')
except FileNotFoundError as fnfe:
nb_missing += 1
print("DTD_REPAIR (skip) missing source file %s" % fi)
continue
try:
long_str = fh.read()
except UnicodeDecodeError as ue:
nb_uerrors += 1
print("DTD_REPAIR (skip) UTF-8 decode error in input file %s" % fi)
# moving the file as it is and skipping reparation
move(fi, path.join(repaired_dir,path.basename(fi)))
continue
# £TODO alternative: add to error/ignore list with the object
fh.close()
# splits a doctype declaration in 3 elements
# lhs + '"' + uri.dtd + '"' + rhs
m = search(
r'(<!DOCTYPE[^>]+(?:PUBLIC|SYSTEM)[^>]*)"([^"]+\.dtd)"((?:\[[^\]]*\])?[^>]*>)',
long_str,
MULTILINE
)
if m:
# kept for later
left_hand_side = m.groups()[0]
right_hand_side = m.groups()[2]
# we replace the middle group uri with our prefix + old dtd_basename
dtd_uri = m.groups()[1]
# print ('FOUND:' + dtd_uri)
dtd_basename = path.basename(dtd_uri)
new_dtd_path = dtd_prefix + '/' + dtd_basename
# print(new_dtd_path)
# substitute a posteriori
original_declaration = left_hand_side+'"'+dtd_uri+'"'+right_hand_side
new_declaration = left_hand_side+'"'+new_dtd_path+'"'+right_hand_side
new_str = sub(escape(original_declaration), new_declaration, long_str)
# save
outfile = open(path.join(repaired_dir,path.basename(fi)), 'w')
outfile.write(new_str)
outfile.close()
else:
if not search(r'wiley', long_str):
# wiley often has no DTD declaration, just ns
nb_no_dtd_other += 1
print('DTD_REPAIR (skip) no match on %s' % fi)
else:
nb_no_dtd_wiley += 1
# save as is
filename = path.basename(fi)
outfile = open(path.join(repaired_dir,path.basename(fi)), 'w')
outfile.write(long_str)
outfile.close()
# rename to std dir
orig_dir = self.shelf_path("XMLN")
if debug_lvl >= 2:
print ("DTD_REPAIR: replacing native XMLs in %s by temporary contents from %s" %(orig_dir, repaired_dir))
rmtree(orig_dir)
rename(repaired_dir, orig_dir)
# report
print("----------")
if nb_missing + nb_uerrors > 0:
print("DTD_REPAIR:errors: %i missing source files" % nb_missing)
print("DTD_REPAIR:errors: %i unicode error files" % nb_uerrors)
if nb_no_dtd_wiley + nb_no_dtd_other > 0:
print("DTD_REPAIR:warn: %i wiley files with no dtd (normal)" % nb_no_dtd_wiley)
print("DTD_REPAIR:warn: %i other files with no dtd (unknown)" % nb_no_dtd_other)
print("----------")
# GOLDTEI
def pub2goldtei(self, pub2tei_dir=None, our_home=None, debug_lvl = 0):
"""
Appel d'une transformation XSLT 2.0 Pub2TEI
actuellement via appel système à saxonb-xslt
(renvoie 0 si tout est ok et 2 s'il n'y a eu ne serait-ce qu'une erreur)
"""
# dans 99% des cas c'est la même corpus_home
# que celle à l'initialisation de l'objet
if not our_home:
our_home = self._home
print("XSL: PUB2TEI CONVERSION (NATIVE XML TO GOLD)")
if not pub2tei_dir:
# chemin relatif au point de lancement
p2t_path = path.join(THIS_SCRIPT_DIR, 'etc', 'Pub2TEI', 'Stylesheets','Publishers.xsl')
else:
p2t_path = path.join(pub2tei_dir,
'Stylesheets','Publishers.xsl')
if not path.exists(p2t_path):
print("%s doit au moins contenir Stylesheets/Publishers.xsl" % pub2tei_dir)
# vérification (est-ce que le fichier de sortie apparaît)
nb_errors = 0
# si dossier d'entrée
if self.shelfs['XMLN']:
# src
xml_dirpath = self.shelf_path("XMLN")
#tgt
gtei_dirpath = self.shelf_path("GTEI")
if debug_lvl > 0:
print("XSL: src dir=%s" % xml_dirpath)
print("XSL: tgt dir=%s" % gtei_dirpath)
# mdkir dossier de sortie
if not path.exists(gtei_dirpath):
mkdir(gtei_dirpath)
call_args = [
"saxonb-xslt",
"-xsl:%s" % p2t_path,
"-s:%s" % xml_dirpath,
"-o:%s" % gtei_dirpath,
# notre param pour les gold
"teiBiblType=biblStruct",
# éviter les simples quotes dans l'arg
]
if debug_lvl > 0:
print("XSL: (debug) appel=%s" % call_args)
try:
# subprocess.call -----
retval= call(call_args)
except FileNotFoundError as fnfe:
if search(r"saxonb-xslt", fnfe.strerror):
print("XSL: les transformations pub2tei requièrent l'installation de saxonb-xslt (package libsaxonb-java)")
return None
else:
raise
# verification si les docs sont bien passés
# et renommage en .tei.xml comme attendu par fileids()
for fid in self.bnames:
try:
rename(path.join(gtei_dirpath, fid+'.xml'),
path.join(gtei_dirpath, fid+'.tei.xml'))
except FileNotFoundError as fnfe:
# £TODO alternative: keeping an error/ignore list with the object
("XSL (skip) doc %s failed transformation" % fid)
nb_errors += 1
# on ne renvoie pas de valeur de retour, on signale juste le succès ou non
if retval == 0:
print("----------")
print("XSL: %i successful transformations (all)" % self.size)
print("----------")
else:
nb_ok = self.size - nb_errors
print("----------")
print("XSL: %i successful transformations" % nb_ok)
print("XSL: %i failed transformations" % nb_errors)
print("----------")
# utilisation autonome pour créer les dossiers basiques depuis une table
if __name__ == "__main__":
"""
Initialisation d'un corpus basique et remplissage de ses fulltexts
- on fournit une table de métadonnées infos.tab (chemin fs)
Métadonnées, rangées dans <corpus_name>/meta/
- basenames.ls
- infos.tab
Données: 3 formats, rangés dans <corpus_name>/data/
- .pdf,
- .xml (natif)
- optionnel: .tei.xml (via pub2tei)
Position dans le système de fichier:
sous ./corpus_name
"""
parser = ArgumentParser(
formatter_class=RawDescriptionHelpFormatter,
description="""
---------------------------------------------
ISTEX-RD corpus operator (tool and library)
---------------------------------------------
""",
usage="""
------
corpusdirs.py un_nom_de_corpus --from mes_docs.tsv""",
epilog="""
Actions:
--------
1) décharge PDF+XML natifs depuis l'API
2) répare les DTD des XML natifs
3) lance une conversion Pub2TEI
=> le tout dans des dossiers
bien rangés sous ./un_nom_de_corpus/
--- © 2015 Inist-CNRS (ISTEX) romain.loth at inist.fr ---"""
)
# argument positionnel (obligatoire) : le nom du corpus
parser.add_argument(
'un_nom_de_corpus',
type=str,
help="nom du nouveau dossier corpus à créer"
)
#
parser.add_argument('-T', '--from_table',
metavar='mes_docs.tsv',
help="""tableau en entrée (tout tsv avec en COL1 istex_id et en COL2 le nom du lot... (par ex: la sortie détaillée de l'échantilloneur sampler.py)""",
type=str,
default=None ,
required=True,
action='store')
parser.add_argument('-d', '--dtd_repair',
help="relie les références DTD internes aux XML natifs à une copie locale de cette DTD",
default=False,
required=False,
action='store_true')
parser.add_argument('-t', '--transform_to_tei',
help="provoque l'ajout d'un dossier sous mon_corpus/data avec les transfos Pub2TEI des XML natifs (requiert linux et saxonb-xslt)",
default=False,
required=False,
action='store_true')
parser.add_argument('--debug',
metavar='1',
help="level of verbose/debug infos [default:0]",
type=int,
default=0 ,
action='store')
args = parser.parse_args(argv[1:])
from_table = args.from_table
debug = args.debug
corpus_name = args.un_nom_de_corpus
# =============================================
if path.exists(corpus_name):
print("ERR: le nom '%s' est déjà pris dans ce dossier" % corpus_name)
exit(1)
# (1/4) echantillon initial (juste la table) -------------------------
if path.exists(from_table):
fic = open(from_table)
my_tab = [l.rstrip() for l in fic.readlines()]
fic.close()
else:
print("ERR bako.make_set: je ne trouve pas la table '%s' pour initialiser le corpus" % from_table)
exit(1)
# (2/4) notre classe corpus ------------------------------------------
# Corpus
# initialisation
# - mode tab seul => fera un dossier meta/ et un data/ vide,
# - le corpus_type est mis en dur à 'gold' ce qui signale
# simplement qu'on ne change pas les étagères par défaut)
cobj = Corpus(corpus_name, new_infos = my_tab, new_home = '.', verbose = (debug>0))
# (3/4) téléchargement des fulltexts ---------------------------------
my_ids = cobj.cols['istex_id']
my_basenames = cobj.bnames
for the_shelf in ['PDF0', 'XMLN']:
the_api_type = cobj.origin(the_shelf)
the_ext = cobj.filext(the_shelf)
tgt_dir = cobj.shelf_path(the_shelf)
print("mkdir -p: %s" % tgt_dir)
mkdir(tgt_dir)
api.write_fulltexts_loop_interact(
my_ids, my_basenames,
tgt_dir = tgt_dir,
api_types = [the_api_type]
)
print("MAKE_SET: saved docs into CORPUS_HOME:%s" % cobj.name)
if debug > 0:
print(" (=> target dir:%s)" % tgt_dir)
# NB: il doit y avoir la même extension dans cobj.filext(the_shelf) que chez l'API
# ou alors api.write_fulltexts doit autoriser à changer (renommer) les extensions
cobj.assert_docs('PDF0')
cobj.assert_docs('XMLN')
# persistance du statut des 2 dossiers créés
cobj.save_shelves_status()
if args.dtd_repair:
# copie en changeant les pointeurs dtd
print("***DTD LINKING***")
cobj.dtd_repair(debug_lvl = debug)
# (4/4) conversion tei (type gold biblStruct) ------------------------
if args.transform_to_tei:
print("***XML => TEI.XML CONVERSION***")
# créera le dossier C-goldxmltei
cobj.pub2goldtei(debug_lvl = debug) # conversion
cobj.assert_docs('GTEI')
# persistence du statut du dossier créé
cobj.save_shelves_status()
# voilà !
cobj.print_corpus_info()
print("Corpus dirs successfully created in %s" % cobj.cdir)
Romain Loth