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manage.py
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manage.py
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import os
import unittest
import json
from flask_migrate import Migrate, MigrateCommand
from flask_script import Manager
from opensearchpy import OpenSearch, TransportError
import sqlalchemy
from sqlalchemy import text
from sqlalchemy.schema import DDL
from sqlalchemy_utils import database_exists, create_database
import json_logging
import redis
from rq import Connection, Worker
from app import blueprint
from app.main import create_app, db
from app.main.model import image
from app.main.lib.shared_models.shared_model import SharedModel
from app.main.lib.language_analyzers import init_indices
from PIL import Image
# Don't remove this line until https://github.com/tensorflow/tensorflow/issues/34607 is fixed
# (by upgrading to tensorflow 2.2 or higher)
import tensorflow as tf
config_name = os.getenv('BOILERPLATE_ENV', 'dev')
app = create_app(config_name)
app.register_blueprint(blueprint)
app.app_context().push()
manager = Manager(app)
migrate = Migrate(app, db)
manager.add_command('db', MigrateCommand)
@manager.command
def test_simple_perl_function():
fingerprint = 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from app.main.model.audio import Audio
from sqlalchemy import text
cmd = """
SELECT audio_similarity_functions();
SELECT * FROM (
SELECT getscore(chromaprint_fingerprint, :chromaprint_fingerprint)
AS score FROM audios
) f
WHERE score <= :threshold
ORDER BY score ASC
"""
matches = db.session.execute(text(cmd), dict(**{
'chromaprint_fingerprint': fingerprint,
'threshold': 10000,
}, **{})).fetchall()
@manager.command
def init_simple_perl_function():
with app.app_context():
sqlalchemy.event.listen(
db.metadata,
'before_create',
DDL("""
CREATE OR REPLACE LANGUAGE plperl;
""")
)
# sqlalchemy.event.listen(
# db.metadata,
# 'before_create',
# DDL("""
# DROP FUNCTION Test(integer[], integer[]);
# """)
# )
sqlalchemy.event.listen(
db.metadata,
'before_create',
DDL("""
CREATE OR REPLACE FUNCTION functions() RETURNS void
AS $$
$_SHARED{maxindex} = sub {
my @x=@{ $_[0]; };
$maxi = 0;
for $i (1..scalar(@x)-1) {
if (@x[$i]>@x[$maxi]) {
$maxi = $i;
}
}
return $maxi;
};
$_SHARED{test2} = sub {
my @x=@{ $_[0]; };
my @y=@{ $_[1]; };
return 0.8;
};
$$
LANGUAGE plperl;
""")
)
sqlalchemy.event.listen(
db.metadata,
'before_create',
DDL("""
CREATE OR REPLACE FUNCTION Test(integer[], integer[]) RETURNS float
AS $$
my @x=@{ $_[0]; };
my @y=@{ $_[1]; };
my $maxindex = $_SHARED{maxindex};
return &$maxindex(\@x);
$$
LANGUAGE plperl;
""")
)
db.create_all()
@manager.command
def init_perl_functions():
with app.app_context():
sqlalchemy.event.listen(
db.metadata,
'before_create',
DDL("""
CREATE OR REPLACE LANGUAGE plperl;
""")
)
# DO NOT EDIT HERE.
# Please see the reference implementations at /extra/audio_simliarity
# Edit those implementations and ensure output is correct for the test data there.
sqlalchemy.event.listen(
db.metadata,
'before_create',
DDL("""
CREATE OR REPLACE FUNCTION audio_similarity_functions() RETURNS void
AS $$
$_SHARED{correlation} = sub {
my @x=@{ $_[0]; };
my @y=@{ $_[1]; };
my $len=scalar(@x);
if (scalar(@x) > scalar(@y)) {
$len = scalar(@y);
}
my $covariance = 0;
my $i, my $bits, my $xor, my $convariance;
for $i (0..$len-1) {
$bits=0;
$xor=(int($x[$i]) ^ int($y[$i]));
$bits=$xor;
$bits = ($bits & 0x55555555) + (($bits & 0xAAAAAAAA) >> 1);
$bits = ($bits & 0x33333333) + (($bits & 0xCCCCCCCC) >> 2);
$bits = ($bits & 0x0F0F0F0F) + (($bits & 0xF0F0F0F0) >> 4);
$bits = ($bits & 0x00FF00FF) + (($bits & 0xFF00FF00) >> 8);
$bits = ($bits & 0x0000FFFF) + (($bits & 0xFFFF0000) >> 16);
$covariance +=32 - $bits;
}
$covariance = $covariance / $len;
return $covariance/32;
};
$_SHARED{crosscorrelation} = sub {
my @x=@{ $_[0]; };
my @y=@{ $_[1]; };
my $offset=$_[2];
my $min_overlap=$_[3]; #Defaults to span (20)
if ($offset > 0) {
@x = @x[$offset..scalar(@x)-1]
} if ($offset < 0) {
$offset *= -1;
@y = @y[$offset..scalar(@y)-1]
}
if (scalar(@x)<$min_overlap || scalar(@y) < $min_overlap) {
# Error checking in main program should prevent us from ever being
# able to get here.
return 0;
}
my $correlation = $_SHARED{correlation};
return &$correlation(\@x, \@y);
};
$_SHARED{compare} = sub {
my @x=@{ $_[0]; };
my @y=@{ $_[1]; };
my $crosscorrelation = $_SHARED{crosscorrelation};
my $span=$_[2];
if ($span > scalar(@x) || $span > scalar(@y)){
$span=scalar(@x)>scalar(@y)? scalar(@y) : scalar(@x);
$span--;
}
my $min_overlap = $span;
my @corr_xy, my $offset;
for $offset (-1*$span..$span){
push @corr_xy, &$crosscorrelation(\@x, \@y, $offset, $min_overlap);
}
return @corr_xy;
};
$_SHARED{maxindex} = sub {
my @x=@{ $_[0]; };
my $maxi = 0;
my $i;
for $i (1..scalar(@x)-1) {
if ($x[$i]>$x[$maxi]) {
$maxi = $i;
}
}
return $maxi;
};
$$
LANGUAGE plperl;
""")
)
# DO NOT EDIT HERE.
# Please see the reference implementations at /extra/audio_simliarity
# Edit those implementations and ensure output is correct for the test data there.
# This returns a similarity metric where 1.0 indicates a perfect match
sqlalchemy.event.listen(
db.metadata,
'before_create',
DDL("""
CREATE OR REPLACE FUNCTION get_audio_chromaprint_score(integer[], integer[]) RETURNS float
AS $$
my @first=@{ $_[0]; };
my @second=@{ $_[1]; };
if (scalar(@first) > 0 && scalar(@second) > 0 && scalar(@first)*0.8 <= scalar(@second) && scalar(@first)*1.2 >= scalar(@second)) {
my $span=20;
my $compare = $_SHARED{compare};
my @corr = &$compare(\@first, \@second, $span);
my $maxindex = $_SHARED{maxindex};
my $max_corr_index = &$maxindex(\@corr);
return $corr[$max_corr_index]
}
return 0.0
$$
LANGUAGE plperl;
""")
)
sqlalchemy.event.listen(
db.metadata,
'before_create',
DDL("""
CREATE EXTENSION IF NOT EXISTS vector;
""")
)
db.create_all()
@manager.command
def run():
"""Runs the API server."""
port = os.getenv('ALEGRE_PORT', 3100)
if json_logging._current_framework is None:
json_logging.init_flask(enable_json=True)
json_logging.init_request_instrument(app)
app.run(host='0.0.0.0', port=port, threaded=True)
@manager.command
def run_model():
"""Runs the model server."""
if config_name == "test":
model_config = json.load(open('./model_config_test.json')).get(app.config["MODEL_NAME"], {})
else:
model_config = json.load(open('./model_config.json')).get(app.config["MODEL_NAME"], {})
SharedModel.start_server(
model_config['class'],
model_config['key'],
model_config['options']
)
@manager.command
def run_video_matcher():
"""Runs the video matcher."""
VideoMatcher.start_server()
@manager.command
def init():
"""Initializes the service."""
# Create ES indexes.
es = OpenSearch(app.config['ELASTICSEARCH_URL'])
try:
if config_name == 'test':
es.indices.delete(index=app.config['ELASTICSEARCH_SIMILARITY'], ignore=[400, 404])
es.indices.create(index=app.config['ELASTICSEARCH_SIMILARITY'])
except TransportError as e:
# ignore already existing index
if e.error == 'resource_already_exists_exception':
pass
else:
raise
es.indices.put_mapping(
body=json.load(open('./elasticsearch/alegre_similarity.json')),
# include_type_name=True,
index=app.config['ELASTICSEARCH_SIMILARITY']
)
init_indices()
# Create database.
with app.app_context():
if not database_exists(db.engine.url):
create_database(db.engine.url)
if config_name == 'test':
db.drop_all()
sqlalchemy.event.listen(
db.metadata,
'before_create',
DDL("""
CREATE OR REPLACE FUNCTION bit_count_image(value bigint)
RETURNS double precision
AS $$ SELECT 1.0-length(replace(value::bit(64)::text,'0',''))::float/length(value::bit(64)::text); $$
LANGUAGE SQL IMMUTABLE STRICT;
""")
)
sqlalchemy.event.listen(
db.metadata,
'before_create',
DDL("""
CREATE OR REPLACE FUNCTION bit_count_pdq(value bit(256))
RETURNS double precision
AS $$ SELECT 1.0-length(replace(value::text,'0',''))::float/length(value::text); $$
LANGUAGE SQL IMMUTABLE STRICT;
""")
)
sqlalchemy.event.listen(
db.metadata,
'before_create',
DDL("""
CREATE OR REPLACE FUNCTION bit_count_audio(value bit(128))
RETURNS double precision
AS $$ SELECT 1.0-length(replace(value::text,'0',''))::float/length(value::text); $$
LANGUAGE SQL IMMUTABLE STRICT;
""")
)
db.create_all()
@manager.command
def test(pattern='test*.py'):
"""Runs the unit tests."""
tests = unittest.TestLoader().discover('app/test/', pattern=pattern)
result = unittest.TextTestRunner(verbosity=2).run(tests)
return 0 if result.wasSuccessful() else 1
@manager.command
def run_rq_worker():
redis_server = redis.Redis(host=app.config['REDIS_HOST'], port=app.config['REDIS_PORT'], db=app.config['REDIS_DATABASE'])
with Connection(redis_server):
qs = ['default']
w = Worker(qs)
w.work()
if __name__ == '__main__':
manager.run()