def execute_query(cls, db_root, query, database_schemas, silent=False):
db_id = query['db_id']
db_path = os.path.join(db_root, db_id, db_id + '.sqlite')
query_recov = query['recov']
if 't5' in query_recov:
return None
query['query_toks'] = query_recov.replace('.', ' . ').split()
query['query_toks_no_value'] = editsql_postprocess.postprocess_one(' '.join(query['column_mapped']), database_schemas[db_id]).replace('limit 1', 'limit_value').replace(' 1', ' value').replace('.', ' . ').split(' ')
schema = evaluation.Schema(evaluation.get_schema(db_path))
g_raw_res = timed_execute(db_path, query_recov, timeout=1, sleep=0.001, silent=silent)
return g_raw_res
def compute_official_eval(self, dev, dev_preds):
metrics = dict(official_em=0, official_ex=0)
for ex in tqdm.tqdm(dev, desc='official eval'):
p = dev_preds[ex['id']]
g_str = ex['g_query']
db_name = ex['db_id']
db = os.path.join('data', 'database', db_name, db_name + ".sqlite")
p_str = dev_preds[ex['id']]['query']
# fix spacing
spacing = [
('` ` ', '"'),
("''", '"'),
('> =', '>='),
('< =', '<='),
("'% ", "'%"),
(" %'", "%'"),
]
for f, t in spacing:
p_str = p_str.replace(f, t)
# recover casing
for v in ex['g_values']:
v = self.bert_tokenizer.convert_tokens_to_string(v).strip(
' ' + string.punctuation)
p_str = p_str.replace(v.lower(), v)
schema = evaluation.Schema(evaluation.get_schema(db))
p_sql = self.build_sql(schema, p_str, self.kmaps[ex['db_id']])
# the offical eval script is buggy and modifies arguments in place
try:
em = self.evaluator.eval_exact_match(
copy.deepcopy(p_sql), copy.deepcopy(ex['g_sql']))
except Exception as e:
em = False
# if not em:
# print(g_str)
# print(p_str)
# print(ex['final_sql_parse'])
# import pdb; pdb.set_trace()
metrics['official_em'] += em
if self.args.keep_values:
g_ex = self.execute(db, g_str, ex['g_sql'])
p_ex = self.execute(db, p_str, p_sql)
exe = 0 if p_ex is False else p_ex == g_ex
metrics['official_ex'] += exe
metrics['official_em'] /= len(dev)
metrics['official_ex'] /= len(dev)
return metrics
def build_sql(self, query, db_id):
db_path = os.path.join(self.db, db_id, db_id + ".sqlite")
schema = evaluation.Schema(evaluation.get_schema(db_path))
try:
sql = evaluation.get_sql(schema, query)
except Exception as e:
# If p_sql is not valid, then we will use an empty sql to evaluate with the correct sql
sql = evaluation.EMPTY_QUERY.copy()
print(e)
valid_col_units = evaluation.build_valid_col_units(
sql['from']['table_units'], schema)
sql_val = evaluation.rebuild_sql_val(sql)
sql_col = evaluation.rebuild_sql_col(valid_col_units, sql_val,
self.kmaps[db_id])
return sql_col
def match(self, beam, ex):
pointer = beam.inds
toks = preprocess.SQLDataset.recover_slots(pointer, ex['cands_query'], eos=self.sql_vocab.word2index('EOS'))
db_name = ex['db_id']
db_path = os.path.join('data', 'database', db_name, db_name + ".sqlite")
g_str = ex['g_query']
p_str = beam.post
try:
schema = evaluation.Schema(evaluation.get_schema(db_path))
p_sql = preprocess.SQLDataset.build_sql(schema, p_str, self.kmaps[db_name])
g_sql = preprocess.SQLDataset.build_sql(schema, g_str, self.kmaps[db_name])
# the offical eval script is buggy and modifies arguments in place
em = self.evaluator.eval_exact_match(copy.deepcopy(p_sql), copy.deepcopy(g_sql))
except Exception as e:
em = False
beam.query_toks = toks
beam.em = em
beam.query = p_str
beam.g_query = g_str
if beam.toks == ex['g_query_norm'].split():
beam.em = True
return beam
def compute_official_eval(self, dev, dev_preds):
metrics = dict(official_em=0, official_ex=0)
for ex in tqdm.tqdm(dev, desc='official eval'):
p = dev_preds[ex['id']]
g_str = ex['g_query']
db_name = ex['db_id']
db = os.path.join('data', 'database', db_name, db_name + ".sqlite")
p_str = dev_preds[ex['id']]['query']
# fix spacing
spacing = [
('` ` ', '"'),
("''", '"'),
('> =', '>='),
('< =', '<='),
("'% ", "'%"),
(" %'", "%'"),
]
for f, t in spacing:
p_str = p_str.replace(f, t)
schema = evaluation.Schema(evaluation.get_schema(db))
p_sql = preprocess.SQLDataset.build_sql(schema, p_str,
self.kmaps[ex['db_id']])
# the offical eval script is buggy and modifies arguments in place
try:
em = self.evaluator.eval_exact_match(
copy.deepcopy(p_sql), copy.deepcopy(ex['g_sql']))
except Exception as e:
em = False
# if not em:
# print(g_str)
# print(p_str)
# print(ex['final_sql_parse'])
# import pdb; pdb.set_trace()
metrics['official_em'] += em
metrics['official_em'] /= len(dev)
metrics['official_ex'] /= len(dev)
return metrics
def batch_execute(data,
silent=False,
sleep=0.1,
timeout=5,
n_proc=5,
desc='batch execute'):
spacing = [('< =', '<='), ('> =', '<='), ('! =', '!=')]
proc = []
for db, query, sql in data:
for f, t in spacing:
query_recov = query.replace(f, t)
proc.append((query, sql, db, silent))
par = joblib.Parallel(n_proc, backend='threading')
out = par(
joblib.delayed(batch_execute_one)(*args)
for args in tqdm.tqdm(proc, desc=desc))
return out
if __name__ == '__main__':
db_id = 'soccer_1'
ftables = os.path.join('data', 'spider', 'tables.json')
db_path = 'data/database/flight_4/flight_4.sqlite'
query = "select T1.airline from routes as T1 join airports as T2 on T1.src_apid = T2.apid where T2.city != 'Imo'"
kmaps = evaluation.build_foreign_key_map_from_json(ftables)
schema = evaluation.Schema(evaluation.get_schema(db_path))
print(timed_execute(db_path, query, timeout=2))
