def test_import_second_passport(self):
self.assertGreater(models.Office.objects.count(), 0)
models.Section.objects.all().delete()
models.Source_Document.objects.all().delete()
permalinks_folder = os.path.dirname(__file__)
TPermalinksManager(setup_logging(), {'directory': permalinks_folder}).create_empty_dbs()
domains_folder = os.path.join(os.path.dirname(__file__), "domains_1")
sp_workdir = os.path.join(os.path.dirname(__file__), "smart_parser_server")
importer = ImportJsonCommand(None, None)
os.chdir(os.path.dirname(__file__))
with SmartParserServerForTesting(sp_workdir, domains_folder):
importer.handle(None, dlrobot_human="dlrobot_human_1.json", smart_parser_human_json="human_jsons",
permalinks_folder=permalinks_folder)
self.assertEqual(models.Section.objects.count(), 1)
self.assertEqual(models.RealEstate.objects.count(), 1)
section_id1 = list(models.Section.objects.all())[0].id
# one more time, but now we have two vehicles for the same person (same document), as though smart_parser
# is more intelligent
TPermalinksManager(setup_logging(), {'directory': permalinks_folder}).create_permalinks()
# clear the db
models.Vehicle.objects.all().delete()
models.RealEstate.objects.all().delete()
models.Income.objects.all().delete()
models.Section.objects.all().delete()
models.Source_Document.objects.all().delete()
domains_folder = os.path.join(os.path.dirname(__file__), "domains_2")
sp_workdir = os.path.join(os.path.dirname(__file__), "smart_parser_server")
importer = ImportJsonCommand(None, None)
os.chdir(os.path.dirname(__file__))
with SmartParserServerForTesting(sp_workdir, domains_folder):
importer.handle(None, dlrobot_human="dlrobot_human_2.json", smart_parser_human_json="human_jsons",
permalinks_folder=permalinks_folder)
self.assertEqual(models.Section.objects.count(), 1)
self.assertEqual(models.RealEstate.objects.count(), 1)
section_id2 = list(models.Section.objects.all())[0].id
## "Иванов И.В." == "Иванов И. В."
self.assertEqual(section_id1, section_id2)
def test(self):
logger = setup_logging(logger_name="test_real_dedupe")
models.Section.objects.all().delete()
permalinks_folder = os.path.dirname(__file__)
db = TPermaLinksPerson(permalinks_folder)
db.open_db_read_only()
db.recreate_auto_increment_table()
db.close_db()
model_path = os.path.join(
os.path.dirname(__file__),
"../../../deduplicate/model/random_forest.pickle")
dedupe_objects = os.path.join(os.path.dirname(__file__),
"dedupe_objects.dump")
run_dedupe = RunDedupe(None, None)
run_dedupe.handle(None,
permalinks_folder=permalinks_folder,
input_dedupe_objects=dedupe_objects,
model_file=model_path,
threshold=0.6,
recreate_db=True,
surname_bounds=',',
write_to_db=True)
sec = models.Section.objects.get(id=757036)
self.assertEqual(1406125, sec.person_id)
def main():
args = parse_args()
logger = setup_logging("manage_pool")
pool = TOfficePool(logger)
pool.read_cases(args.input_pool)
case: TPredictionCase
cnt = 0
toloka_pool = list()
automatic_pool = list()
parser = TOfficeFromTitle(logger)
for case in pool.pool:
cnt += 1
w: TTitleParseResult
w = parser.parse_title(case)
if w is None:
logger.debug("cannot parse {}".format(case.sha256))
else:
#print ("{}".format(json.dumps(parser.to_json(), indent=4, ensure_ascii=False)))
#print(parser.org_name)
if w.weight > 0.5:
automatic_pool.append(case)
case.true_office_id = w.office.office_id
else:
toloka_pool.append(case)
logger.debug("{}\t{}\t{}\t=>{}:{}".format(
w.office.office_id, w.office.name, w.org_name, w.weight,
",".join(w.common_words)))
TOfficePool.write_pool(toloka_pool, args.output_toloka_file)
TOfficePool.write_pool(automatic_pool, args.output_automatic_file)
def __init__(self, *args, **kwargs):
super(Command, self).__init__(*args, **kwargs)
self.logger = setup_logging(log_file_name="create_misspell_db.log")
self.rml_path = None
self.converter1 = None
self.converter2 = None
self.output_folder = None
def setUp(self):
self.env = TestDlrobotEnv("data.ssl")
TDownloadEnv.clear_cache_folder()
THttpRequester.ENABLE = False
logger = setup_logging(log_file_name="dlrobot.log")
THttpRequester.initialize(logger)
def main():
args = parse_args()
logger = setup_logging("join_office_and_websites")
offices = TOfficeTableInMemory(use_office_types=False)
offices.read_from_local_file()
web_sites_db = TDeclarationWebSiteList(
logger,
TDeclarationWebSiteList.default_input_task_list_path).load_from_disk()
url_info: TDeclarationWebSiteObsolete
for url, url_info in web_sites_db.web_sites.items():
office_id = url_info.calculated_office_id
office: TOfficeInMemory
office = offices.offices.get(int(office_id))
if office is None:
logger.debug(
"cannot find office_id={}, url={} no valid urls, deleted office?"
.format(office_id, url))
continue
p = url_info.http_protocol if url_info.http_protocol is not None else "http"
i = TDeclarationWebSite()
i.url = p + "://" + url
i.reach_status = url_info.reach_status
i.comments = url_info.comments
i.redirect_to = url_info.redirect_to
i.title = url_info.title
office.office_web_sites.append(i)
for o in offices.offices.values():
o.office_web_sites.sort(key=lambda x: 1 if x.reach_status ==
TWebSiteReachStatus.normal else 0)
logger.info("write to {}".format(args.output_file))
offices.write_to_local_file(args.output_file)
def test_fsin_2_import(self):
self.assertGreater(models.Office.objects.count(), 0)
models.Income.objects.all().delete()
models.RealEstate.objects.all().delete()
models.Vehicle.objects.all().delete()
models.Section.objects.all().delete()
models.Source_Document.objects.all().delete()
permalinks_folder = os.path.dirname(__file__)
logger = setup_logging(log_file_name="test_fsin_import.log")
TPermalinksManager(logger, {
'directory': permalinks_folder
}).create_empty_dbs()
doc_folder = os.path.join(os.path.dirname(__file__), "domains")
sp_workdir = os.path.join(os.path.dirname(__file__),
"smart_parser_server")
importer = ImportJsonCommand(None, None)
os.chdir(os.path.dirname(__file__))
with SmartParserServerForTesting(sp_workdir, doc_folder):
importer.handle(None,
process_count=2,
dlrobot_human="dlrobot_human.json",
permalinks_folder=permalinks_folder)
self.assertEqual(1, models.Section.objects.count())
pass
def __init__(self, args):
self.args = args
self.working = True
self.thread_pool = ThreadPoolExecutor(max_workers=self.args.worker_count)
self.setup_working_folder()
self.logger = setup_logging(log_file_name=self.args.log_file_name, append_mode=True)
self.setup_environment()
def handle(self, *args, **options):
TImporter.logger = setup_logging(log_file_name="import_json.log")
importer = TImporter(options)
self.stdout.write("start importing")
if options.get('office_id') is not None:
importer.init_non_pickable()
importer.import_office(options.get('office_id'))
elif options.get('process_count', 0) > 1:
importer.delete_before_fork()
process_count = options.get('process_count')
importer.distribute_offices_to_processes(process_count)
pool = Pool(processes=process_count)
pool.map(importer.process_one_office_bucket_in_subprocess,
importer.office_buckets.keys())
importer.init_after_fork()
else:
importer.init_non_pickable()
cnt = 0
for office_id in importer.office_to_source_documents.keys():
if options.get(
'take_first_n_offices'
) is not None and cnt >= options.get('take_first_n_offices'):
break
importer.import_office(office_id)
cnt += 1
TImporter.logger.info("Section count={}".format(
models.Section.objects.all().count()))
TImporter.logger.info("all done")
def handle(self, *args, **options):
logger = setup_logging("fix_fsin")
for s in models.Section.objects.filter(rubric_id=10):
self.filter_set(logger, s.id, s.income_set.all().order_by('id'), models.Income)
self.filter_set(logger, s.id, s.vehicle_set.all().order_by('id'), models.Vehicle)
self.filter_set(logger, s.id, s.realestate_set.all().order_by('id'), models.RealEstate)
def __init__(self, args):
self.logger = setup_logging(log_file_name="access_log_reader.log")
self.args = args
self.start_access_log_date = self.args.start_access_log_date
self.last_access_log_date = self.args.last_access_log_date
self.access_log_folder = self.args.access_log_folder
self.min_request_freq = self.args.min_request_freq
def test_complex_import(self):
self.assertGreater(models.Office.objects.count(), 0)
models.Income.objects.all().delete()
models.RealEstate.objects.all().delete()
models.Vehicle.objects.all().delete()
models.Section.objects.all().delete()
models.Source_Document.objects.all().delete()
permalinks_folder = os.path.dirname(__file__)
logger = setup_logging(log_file_name="test_complex_import.log")
TPermalinksManager(logger, {
'directory': permalinks_folder
}).create_empty_dbs()
doc_folder = os.path.join(os.path.dirname(__file__), "domains")
sp_workdir = os.path.join(os.path.dirname(__file__),
"smart_parser_server")
importer = ImportJsonCommand(None, None)
os.chdir(os.path.dirname(__file__))
with SmartParserServerForTesting(sp_workdir, doc_folder):
importer.handle(None,
dlrobot_human="dlrobot_human.json",
smart_parser_human_json="human_jsons",
permalinks_folder=permalinks_folder)
self.assertEqual(models.Section.objects.count(), 3)
old_sections = [(s.id, s.person_name)
for s in models.Section.objects.all()]
self.assertEqual(models.RealEstate.objects.count(), 3)
self.assertEqual(models.Income.objects.count(), 3)
self.assertEqual(models.Income.objects.count(), 3)
self.assertGreater(models.Office.objects.count(), 0)
old_docs = [(d.id, d.sha256)
for d in models.Source_Document.objects.all()]
# import the same sections adn check that we reuse old section ids and source doc ids
CreatePermalinksStorageCommand(None, None).handle(
None, directory=permalinks_folder)
permalinks_db = TPermalinksManager(logger,
{'directory': permalinks_folder})
permalinks_db.create_sql_sequences()
models.Section.objects.all().delete()
models.Source_Document.objects.all().delete()
with SmartParserServerForTesting(sp_workdir, doc_folder):
importer.handle(None,
dlrobot_human="dlrobot_human.json",
smart_parser_human_json="human_jsons",
permalinks_folder=permalinks_folder)
new_docs = [(d.id, d.sha256)
for d in models.Source_Document.objects.all()]
self.assertListEqual(old_docs, new_docs)
new_sections = [(s.id, s.person_name)
for s in models.Section.objects.all()]
self.assertListEqual(old_sections, new_sections)
def __init__(self):
self.args = parse_args()
self.logger = setup_logging("check_disclosures_heath")
self.last_messages = dict()
self.checks = list()
with open(self.args.config) as inp:
for c in json.load(inp):
self.checks.append(TCheckState.read_from_json(self, c))
def main():
args = parse_args()
logger = setup_logging(log_file_name="predict_office_baseline.log")
model = TPredictionModelBase(logger,
args.bigrams_path,
args.model_folder,
test_pool=args.test_pool)
test_baseline(model)
def test_unicode(self):
try:
THttpRequester.initialize(setup_logging())
s = THttpRequester.make_http_request("http://5%20июня%20запретят%20розничную%20продажу%20алкоголя", "GET")
except THttpRequester.RobotHttpException as exp:
# no UnicodeException for this url
pass
def __init__(self, *args, **kwargs):
super(Command, self).__init__(*args, **kwargs)
self.logger = setup_logging(
log_file_name="update_person_redirects.log")
self.options = None
self.old_person_to_sections = defaultdict(list)
self.redirects = dict()
self.new_section_to_person = dict()
def main():
args = parse_args()
logger = setup_logging("set_rubrics")
offices = TOfficeTableInMemory(use_office_types=False)
offices.read_from_local_file()
offices.set_rubrics(logger)
logger.info("write to {}".format(args.output_file))
offices.write_to_local_file(args.output_file)
def handle(self, *args, **options):
logger = setup_logging(log_file_name="normalize_fio.log")
for section in models.Section.objects.all():
person_name = normalize_fio_before_db_insert(section.person_name)
if person_name != section.person_name:
logger.debug("normalize {} -> {}".format(
section.person_name, person_name))
section.person_name = person_name
section.save()
def __init__(self, *args, **kwargs):
super(Command, self).__init__(*args, **kwargs)
self.test_objects = None
self.test_data = None
self.options = None
self.logger = setup_logging(log_file_name="test_ml_pool.log")
self.ml_model = None
self.X = None
self.y_true = None
def setUp(self):
self.server_address = '127.0.0.1:{}'.format(self.web_site_port)
self.web_server = TestHTTPServer(self.web_site_port)
threading.Thread(target=start_server, args=(self.web_server,)).start()
time.sleep(1)
self.env = TestDlrobotEnv("data.timeout")
TDownloadEnv.clear_cache_folder()
self.logger = setup_logging(log_file_name="dlrobot.log")
THttpRequester.initialize(self.logger)
def main():
logger = setup_logging(log_file_name="predict_office_test.log")
args = parse_args()
model = TTensorFlowOfficeModel(logger,
args.bigrams_path,
args.model_folder,
create_model=False,
work_pool_path=args.test_pool)
model.test_model(thresholds=args.threshold)
def main():
args = parse_args()
logger = setup_logging(log_file_name="predict_office.log")
model = TPredictionModel(logger, args.bigrams_path, model_path=args.model_path,
row_count=args.row_count,
train_pool=args.train_pool,
test_pool=args.test_pool)
elif args.action == "train":
model.train_catboost()
def setUp(self, website_folder):
self.env = TestDlrobotEnv("data.{}".format(
os.path.basename(website_folder)))
shutil.copy2(
os.path.join(os.path.dirname(__file__), website_folder,
"project.txt"), self.env.data_folder)
THttpRequester.ENABLE = False
self.logger = setup_logging(log_file_name="dlrobot.log")
THttpRequester.initialize(self.logger)
def main():
logger = setup_logging(log_file_name="predict_office_toloka.log")
args = parse_args()
model = TTensorFlowOfficeModel(logger,
args.bigrams_path,
args.model_folder,
create_model=False,
work_pool_path=args.test_pool)
model.toloka(args.toloka_pool, format=args.format)
def test(self):
logger = setup_logging(logger_name="test_real_dedupe")
sql_script = os.path.join( os.path.dirname(__file__), "disclosures.sql.person_id_5295.n")
run_sql_script(logger, sql_script)
permalinks_folder = os.path.dirname(__file__)
db = TPermaLinksPerson(permalinks_folder)
db.create_db()
db.save_dataset(setup_logging())
db.recreate_auto_increment_table()
db.close_db()
model_path = os.path.join(os.path.dirname(__file__), "../../../deduplicate/model/random_forest.pickle" )
run_dedupe = RunDedupe(None, None)
run_dedupe.handle(None,
permalinks_folder=permalinks_folder,
write_to_db=True,
surname_bounds=',',
model_file=model_path,
threshold=0.6
)
person_id = 5295
self.assertEqual(models.Person.objects.count(), 3)
person = models.Person.objects.get(id=person_id)
self.assertIsNotNone(person)
self.assertEqual(5295, person.declarator_person_id)
canon_sections = [
(451721, 5295, True),
(452066, 5295, True),
(452420, 5295, True),
(453686, 5295, False),
(455039, 5295, False),
(1801614, 5296, True),
(5105303, 5295, True),
(6437989, 5297, True),
(6672563, 5297, True),
(6674154, 5297, True),
(6773981, 5297, True),
]
sections = []
for s in models.Section.objects.all():
sections.append ((s.id, s.person_id, s.dedupe_score is not None))
self.assertListEqual(canon_sections, sections)
def __init__(self, args):
self.args = args
self.logger = setup_logging(log_file_name="join_human_and_dlrobot.log",
append_mode=True)
self.output_dlrobot_human = TDlrobotHumanFileDBM(args.output_json)
self.output_dlrobot_human.create_db()
self.old_files_with_office_count = 0
self.web_sites_db = TDeclarationWebSiteList(self.logger)
self.offices = self.web_sites_db.offices
self.dlrobot_config = TRobotConfig.read_by_config_type("prod")
def main():
args = parse_args()
logger = setup_logging("create_sample")
dlrobot_human = TDlrobotHumanFileDBM(args.input_file)
dlrobot_human.open_db_read_only()
source_doc_client = TSourceDocClient(TSourceDocClient.parse_args([]))
smart_parser_client = TSmartParserCacheClient(
TSmartParserCacheClient.parse_args([]))
logger.info("create population")
tmp_folder = '/tmp/create_sample_sp'
if os.path.exists(tmp_folder):
shutil.rmtree(tmp_folder)
logger.info("create directory {}".format(tmp_folder))
os.mkdir(tmp_folder)
population = list(dlrobot_human.get_all_keys())
random.shuffle(population)
logger.info("fetch files")
found = set()
for sha256 in population:
logger.debug("get doc {}".format(sha256))
file_data, file_extension = source_doc_client.retrieve_file_data_by_sha256(
sha256)
if file_data is None:
logger.error("cannot get data for {}".format(sha256))
continue
if args.income_year is not None:
smart_parser_json = smart_parser_client.retrieve_json_by_sha256(
sha256)
if smart_parser_json is None or len(smart_parser_json) == 0:
logger.error(
"empty or invalid smart parser json for {}".format(sha256))
continue
src_doc = dlrobot_human.get_document(sha256)
year = src_doc.calc_document_income_year(smart_parser_json)
if year != args.income_year:
logger.error("different year ({} != {})".format(
year, args.income_year))
continue
found.add(sha256)
file_path = os.path.join(tmp_folder,
"{}{}".format(len(found) + 1, file_extension))
with open(file_path, "wb") as outp:
outp.write(file_data)
if len(found) >= args.sample_size:
break
logger.info("found {} files".format(len(found)))
output_file = os.path.abspath(args.output_file)
cmd = "tar -C {} --create --file {} {}".format(
os.path.dirname(tmp_folder), output_file, os.path.basename(tmp_folder))
logger.info(cmd)
os.system(cmd)
def __init__(self, *args, **kwargs):
super(Command, self).__init__(*args, **kwargs)
self.logger = setup_logging(log_file_name="name_report.log")
self.regions = dict()
for r in models.Region.objects.all():
self.regions[r.id] = r.name
self.names_masc = set()
self.names_fem = set()
self.surnames_masc = set()
self.surnames_fem = set()
self.gender_recognizer = TGenderRecognizer()
def setup_project(self, morda_url):
logger = setup_logging('prohibited')
self.project = TRobotProject(logger,
'',
config=TRobotConfig(),
export_folder="result",
enable_search_engine=False)
web_site = self.project.add_web_site(morda_url)
self.robot_step = TRobotStep(web_site)
self.env = TestDlrobotEnv("data.prohibited")
TDownloadEnv.FILE_CACHE_FOLDER = self.env.data_folder
def main():
args = parse_args()
logger = setup_logging("send_docs")
decl_sender = TDeclarationSender(logger, True, True)
for d in args.folders:
logger.info("folder = {}".format(d))
result_folder = os.path.join(d, "result")
if not os.path.exists(result_folder):
logger.error("no directory {} found".format(result_folder))
else:
decl_sender.send_declaraion_files_to_other_servers(d)
