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core.py
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core.py
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from phrase_structures import *
from phrase_structures import _uniquecount, _count_uniqueness_specified
CMPERS = [CMP(' is between {0[0]} and {0[1]}', '在{0[0]}和{0[1]}之间', ' between {0[0]} and {0[1]}', 1),
CMP(' is equal to {0}', '是{0}', ' = {0}', 2), CMP(' is larger than {0}', '比{0}大', ' > {0}', 3),
CMP(' is smaller than {0}', '比{0}小', ' < {0}', 4), CMP(' is at least {0}', '最低{0}', ' >= {0}', 5),
CMP(' is at most {0}', '最高{0}', ' <= {0}', 6), CMP(' is not {0}', '不等于{0}', ' != {0}', 7),
CMP(' among {0}', '在{0}之中', ' in {0}', 8), CMP('{0}', '{0}', ' like {0}', 9),
CMP(" is not among {0}", '不在{0}之中', ' not in {0} ', 0)]
# these distributions are naturally proportional
num_tables_distribution = {False: transform2distribution_proportional(numpy.array([4361., 2200., 600., 60.])),
True: transform2distribution_proportional(numpy.array([459., 51., 5., 0.01]))}
num_wheres_distribution = {False: transform2distribution_proportional(numpy.array([3300., 2500., 900., 400, 1.])),
True: transform2distribution_proportional(numpy.array([4., 1.5, 0.2,
0.01,
0.]))} # padded each number with 10 to allow extreme queries with 4 where-conditions
num_selected_distribution = transform2distribution_proportional(numpy.array([0., 4800., 1700., 350., 40.]))
AGGR_SUBQDIST = transform2distribution_proportional(
numpy.array([310., 66., 44., 0., 0., 90.])) # only allow max, min, avg
def is_simple_query(qrynp):
phrase = qrynp.np
if len(phrase.table_ids) > 2:
return False
if len(phrase.queried_props) > 3:
return False
for cdt in phrase.cdts:
if isinstance(cdt.right, dict):
return False
if len(phrase.group_props) > 1:
return False
if len(phrase.having_cdts) > 0:
return False
if len(phrase.orderby_props) > 1:
return False
if phrase.np_2 is not None:
return False
return True
def fetch_join_rel(new_tid, table_ids, prop_rels, typenps, propertynps, allow_pseudo_rels=False):
relevant_prop_rels = []
for idx, rel in enumerate(prop_rels):
# allow only those relations whose types are both used in query
# only allow edges from new tid to current tables. （reversed edges assign very little prob, basically
# only when no normal directioned edges exist would reversed edges be sampled from this distribution）
if rel.table_ids[0] in table_ids and rel.table_ids[1] == new_tid:
relevant_prop_rels.append(rel)
elif rel.table_ids[0] == new_tid and rel.table_ids[1] in table_ids:
rel = copy.deepcopy(rel)
rel.score = 0.001
relevant_prop_rels.append(rel)
# if there are actual relations
if len(relevant_prop_rels) > 0:
scores = []
for rel in relevant_prop_rels:
scores.append(rel.score)
scores = numpy.array(scores)
dist = transform2distribution(scores)
try:
fetched_rel = numpy.random.choice(relevant_prop_rels, p=dist)
except Exception as e:
print(e)
raise
# if no actual relations exist
elif allow_pseudo_rels:
left_available_propids = typenps[new_tid].properties
right_available_propids = []
for tid in table_ids:
right_available_propids += typenps[tid].properties
pseudo_rels = []
for pid1 in left_available_propids:
for pid2 in right_available_propids:
if propertynps[pid1].dtype == propertynps[pid2].dtype:
pseudo_rels.append([pid1, pid2])
fetched_rel = random.choice(pseudo_rels)
fetched_rel = PROP_REL(fetched_rel[0], fetched_rel[1], propertynps[fetched_rel[0]].table_id,
propertynps[fetched_rel[1]].table_id, 1)
else:
raise AssertionError
redundant_propid = numpy.random.choice([fetched_rel.prop_ids[0], fetched_rel.prop_ids[1]], p=[0.2, 0.8])
cmper = copy.deepcopy(CMPERS[1]) # always use equality comparer
c_english = propertynps[fetched_rel.prop_ids[0]].c_english.format(
typenps[fetched_rel.table_ids[0]].c_english + '\'s ') + cmper.c_english.format(
propertynps[fetched_rel.prop_ids[1]].c_english.format(typenps[fetched_rel.table_ids[1]].c_english + '\'s '))
c_chinese = propertynps[fetched_rel.prop_ids[0]].c_chinese.format(
typenps[fetched_rel.table_ids[0]].c_chinese + '的') + cmper.c_chinese.format(
propertynps[fetched_rel.prop_ids[1]].c_chinese.format(typenps[fetched_rel.table_ids[1]].c_chinese + '的'))
z = propertynps[fetched_rel.prop_ids[0]].z + cmper.z.format(propertynps[fetched_rel.prop_ids[1]].z)
left = copy.deepcopy(propertynps[fetched_rel.prop_ids[0]])
right = copy.deepcopy(propertynps[fetched_rel.prop_ids[1]])
fetched_cdt = CDT(c_english, c_chinese, z, left, right, cmper)
return fetched_cdt, redundant_propid
# 'in' comparer in where conditions appear only in those occasions with c-i conditions
#
# use_aggr_for_left_prop is equal to true iff it is a having condition
def construct_cv_where_cdt(available_prop_ids, propertynps, typenps, use_aggr_for_left_prop=False, assigned_prop=None,
no_negative=False, type_to_count=None):
if assigned_prop is None:
# the left-value in where conditions cannot have aggregators
scores = [0] * len(available_prop_ids)
for idx, prop_id in enumerate(available_prop_ids):
if propertynps[prop_id].dtype in UNLIKELY_COND_DTYPES:
scores[idx] = -10000
elif propertynps[prop_id].dtype == 'id':
scores[idx] *= 0.3
# explicitly use softmax to convert into a distribution
scores = transform2distribution_softmax(numpy.array(scores))
chosen_prop_id = numpy.random.choice(available_prop_ids, p=scores)
chosen_prop = copy.deepcopy(propertynps[chosen_prop_id])
if use_aggr_for_left_prop:
# assign different distributions for aggregators according to the property dtypes
aggr_id = numpy.random.choice(numpy.arange(len(AGGREGATION_FUNCTIONS)), p=AGGR_DISTS[chosen_prop.dtype])
chosen_prop.set_aggr(aggr_id)
else:
chosen_prop = assigned_prop
# if there are single2multiple foreign key relationships between the multiple tables, the
if chosen_prop.dtype == 'star' and chosen_prop.aggr == 3 and type_to_count is not None:
assert isinstance(type_to_count, TYPENP)
chosen_prop.c_english = ' the number of %s ' % type_to_count.c_english
chosen_prop.c_chinese = '%s的数量' % type_to_count.c_chinese
if chosen_prop.aggr == 3:
assert (AGGREGATION_FUNCTIONS[3] == _uniquecount)
available_values = []
else:
available_values = chosen_prop.values
# for 'COUNT(...)' clauses, '<' and '>' comparison operators are allowed, just as for 'int'
if chosen_prop.aggr == 3:
cmper_distribution = numpy.array(CMP_DISTS['int'])
else:
cmper_distribution = numpy.array(CMP_DISTS[chosen_prop.dtype])
if SETTING in ['spider', 'chisp']:
assert (len(cmper_distribution) == 9)
elif SETTING == 'dusql':
assert len(cmper_distribution) == 10
else:
raise AssertionError
# forbid 'in' and 'not in' for c-v conditions
cmper_distribution[7] = 0
if SETTING == 'dusql':
cmper_distribution[9] = 0
cmper_distribution = transform2distribution_proportional(cmper_distribution)
if SETTING in ['spider', 'chisp']:
cmper = copy.deepcopy(numpy.random.choice(CMPERS[:-1], p=cmper_distribution))
elif SETTING == 'dusql':
cmper = copy.deepcopy(numpy.random.choice(CMPERS, p=cmper_distribution))
else:
raise AssertionError
if cmper.index == 1:
num_values = 2
else:
num_values = 1
if cmper.index == 2 and chosen_prop.dtype in ['int', 'double']:
cmper.c_english = ' is equal to {0}'
cmper.c_chinese = '与{0}相等'
if available_values is None:
raise AssertionError
# print("num_values: ", num_values)
if chosen_prop.aggr != 3:
value = copy.deepcopy(
numpy.random.choice(available_values, num_values,
replace=False)) # object 'value' is list of either length 1 or length 2
if cmper.index == 9:
assert len(value) == 1
v = value[0].z
rho = random.random()
if rho < 0.8:
v = cut_value_for_like(v, mode='mid')
cmper.set_mode('mid')
elif rho < 0.95:
v = cut_value_for_like(v, mode='head')
cmper.set_mode('head')
else:
v = cut_value_for_like(v, mode='tail')
cmper.set_mode('tail')
value = [VALUENP(v.strip('%'), v.strip('%'), v, value[0].dtype)]
else:
count_dist = [0, 100, 150, 40]
count_dist += [0.1] * 97
count_dist[5] += 5
for idx in range(10, 101, 10):
count_dist[idx] += 0.4
count_dist = transform2distribution_proportional(count_dist)
value = random.choices(range(101), k=num_values, weights=count_dist)
for i in range(len(value)):
value[i] = VALUENP(str(value[i]), str(value[i]), str(value[i]), 'int')
if SETTING in ['spider', 'chisp']:
assert cmper.index != 0
# set negative is moved below 'set_mode' in order to avoid 'starts with not xxx'
if cmper.index in [8, 9, 0]:
rho = random.random()
if rho < 0.1 and not no_negative and SETTING != 'dusql':
cmper.set_negative()
if num_values == 1:
if not isinstance(value[0], VALUENP):
raise AssertionError
value_ce = [value[0].c_english]
value_cc = [value[0].c_chinese]
value_z = '#' + value[0].z + '#'
else:
value_ce = []
value_cc = []
value_z = []
if value is None:
raise AssertionError
value.sort() # 'between' requires that the two values are in ascending order
if value is None:
raise AssertionError
for item in value:
value_ce.append(item.c_english)
value_cc.append(item.c_chinese)
value_z.append('#' + item.z + '#')
for i in range(len(value_ce)):
if value_ce[i].strip('\'\"') == 'T':
value_ce[i] = '\"True\"'
elif value_ce[i].strip('\'\"') == 'F':
value_ce[i] = '\"False\"'
if value_cc[i].strip('\'\"') == 'T':
value_cc[i] = '\"真\"'
elif value_cc[i].strip('\'\"') == 'F':
value_cc[i] = '\"假\"'
if '年份' in chosen_prop.c_chinese.format(''):
year_flag = True
for v in value_cc:
if not contains_4digits(v):
year_flag = False
if year_flag:
if cmper.index == 3:
cmper.c_chinese = '比{0}晚'
elif cmper.index == 4:
cmper.c_chinese = '比{0}早'
if 'year' in chosen_prop.c_english.format(''):
year_flag = True
for v in value_ce:
if not contains_4digits(v):
year_flag = False
if year_flag:
if cmper.index == 3:
cmper.c_english = ' is after {0}'
elif cmper.index == 4:
cmper.c_english = ' is before {0}'
if len(value_ce) == 1:
assert len(value_cc) == 1
value_ce = value_ce[0]
value_cc = value_cc[0]
if chosen_prop.dtype not in ['star']:
c_english = chosen_prop.c_english.format(
typenps[chosen_prop.table_id].c_english+'\'s ') + cmper.c_english.format(value_ce)
c_chinese = chosen_prop.c_chinese.format(
typenps[chosen_prop.table_id].c_chinese+'的') + cmper.c_chinese.format(value_cc)
else:
c_english = chosen_prop.c_english.format('') + cmper.c_english.format(value_ce)
c_chinese = chosen_prop.c_chinese.format('') + cmper.c_chinese.format(value_cc)
z = chosen_prop.z + ' ' + cmper.z.format(value_z)
cdt = CDT(c_english, c_chinese, z, chosen_prop, value, cmper)
return cdt
def construct_cc_where_cdt(available_prop_ids, propertynps, typenps, prop_mat, use_aggr_for_left_prop=False):
left_prop_id, right_prop_id = choose_proppair_for_cdt(available_prop_ids, available_prop_ids, propertynps, prop_mat)
if left_prop_id is None and right_prop_id is None:
return None
left_prop = copy.deepcopy(propertynps[left_prop_id])
right_prop = copy.deepcopy(propertynps[right_prop_id])
# there must not be aggregators in where conditions
assert (left_prop.aggr == 0)
assert (right_prop.aggr == 0)
if use_aggr_for_left_prop:
# assign different distributions for aggregators according to the property dtypes
aggr_id = numpy.random.choice(numpy.arange(len(AGGREGATION_FUNCTIONS)), p=AGGR_DISTS[left_prop.dtype])
left_prop.set_aggr(aggr_id)
# does not allow for 'between' comparer for column-column conditions or column-subquery conditions
cmper_distribution = transform2distribution_proportional(numpy.array(CMP_DISTS[left_prop.dtype][1:]))
cmper_distribution[6] = 0
cmper_distribution[7] = 0 # like operator at index 9-1-1=7 can never appear in c-c or c-i conditions
cmper_distribution = transform2distribution_proportional(cmper_distribution)
if SETTING in ['spider', 'chisp']:
cmper = copy.deepcopy(numpy.random.choice(CMPERS[1:-1], p=cmper_distribution))
elif SETTING == 'dusql':
cmper = copy.deepcopy(numpy.random.choice(CMPERS[1:], p=cmper_distribution))
else:
raise AssertionError
if SETTING in ['spider', 'chisp']:
assert cmper.index != 0
if cmper.index in [8, 9, 0]:
rho = random.random()
if rho < 0.1 and SETTING != 'dusql':
cmper.set_negative()
if '年份' in left_prop.c_chinese.format(''):
random_value = random.choice(left_prop.values)
if contains_4digits(random_value.z):
year_flag = True
else:
year_flag = False
if year_flag:
if cmper.index == 3:
cmper.c_chinese = '比{0}晚'
elif cmper.index == 4:
cmper.c_chinese = '比{0}早'
if left_prop.dtype not in ['star']:
c_english = left_prop.c_english.format(typenps[left_prop.table_id].c_english+'\'s ') + \
cmper.c_english.format(right_prop.c_english.format(typenps[right_prop.table_id].c_english+'\'s '))
c_chinese = left_prop.c_chinese.format(typenps[left_prop.table_id].c_chinese+'的') + \
cmper.c_chinese.format(right_prop.c_chinese.format(typenps[right_prop.table_id].c_chinese+'的'))
else:
c_english = left_prop.c_english.format('') + \
cmper.c_english.format(right_prop.c_english.format(''))
c_chinese = left_prop.c_chinese.format('') + \
cmper.c_chinese.format(right_prop.c_chinese.format(''))
cdt = CDT(c_english, c_chinese, None, left_prop, right_prop, cmper)
if 'year' in left_prop.c_english.format(''):
random_value = random.choice(left_prop.values)
if contains_4digits(random_value.z):
year_flag = True
else:
year_flag = False
if year_flag:
c_english.replace('is smaller than', 'is before')
c_english.replace('is larger than', 'is after')
return cdt
# sub-queries can be either around properties with foreign key relations or same names, but rarely anything else
def construct_ci_where_cdt(available_prop_ids, typenps, propertynps, type_mat, prop_mat, prop_rels, fk_rels,
use_aggr_for_left_prop=False, cursor=None, no_negative=False, verbose=False):
# only allow those with actual values
all_prop_ids = []
for i in range(len(propertynps)):
if propertynps[i].valid:
all_prop_ids.append(i)
assert len(all_prop_ids) > 0
left_prop_id, right_prop_id = choose_proppair_for_cdt(available_prop_ids, all_prop_ids, propertynps, prop_mat)
if left_prop_id is None and right_prop_id is None:
return None
left_prop = copy.deepcopy(propertynps[left_prop_id])
# does not allow for 'between' comparer for column-column conditions or column-subquery conditions
cmper_distribution = transform2distribution_proportional(numpy.array(CMP_DISTS[left_prop.dtype][1:]))
cmper_distribution[7] = 0 # like operator at index 9-1-1=7 can never appear in c-c or c-i conditions
cmper = None
if left_prop.dtype in CALCULABLE_DTYPES:
if SETTING in ['spider', 'chisp']:
cmper = copy.deepcopy(numpy.random.choice(CMPERS[1:-1], p=cmper_distribution))
elif SETTING in ['dusql']:
cmper = copy.deepcopy(numpy.random.choice(CMPERS[1:], p=cmper_distribution))
else:
raise AssertionError
else:
for item in CMPERS:
if SETTING in ['spider', 'chisp']:
if item.index == 8: # if the comparer is 'in'
cmper = copy.deepcopy(item)
elif SETTING == 'dusql':
if item.index in [8, 0]: # if the comparer is 'in' or 'not in'
cmper = copy.deepcopy(item)
else:
raise AssertionError
assert (cmper is not None)
if SETTING in ['spider', 'chisp']:
assert cmper.index != 0
if cmper.index in [8, 9, 0]:
rho = random.random()
if rho < 0.1 and not no_negative and SETTING != 'dusql':
cmper.set_negative()
# the aggregators can only be max, min or avg (means can't have aggregator for non-number dtypes)
if cmper.index != 8: # if comparer is not 'in'
use_aggr = numpy.random.choice(numpy.arange(len(AGGREGATION_FUNCTIONS)), p=AGGR_SUBQDIST)
else:
use_aggr = 0
prop4right_subq = copy.deepcopy(propertynps[right_prop_id])
prop4right_subq.set_aggr(use_aggr)
right_subq_np, right_subq_qrynp = scratch_build(typenps, propertynps, type_mat, prop_mat, prop_rels, fk_rels,
is_recursive=True,
specific_props=[prop4right_subq], cursor=cursor,
require_singlereturn=(cmper.index != 8), print_verbose=verbose,
is_recur=True)
if use_aggr_for_left_prop:
# assign different distributions for aggregators according to the property dtypes
aggr_id = numpy.random.choice(numpy.arange(len(AGGREGATION_FUNCTIONS)), p=AGGR_DISTS[left_prop.dtype])
left_prop.set_aggr(aggr_id)
if '年份' in left_prop.c_chinese.format(''):
random_value = random.choice(left_prop.values)
if contains_4digits(random_value.z):
year_flag = True
else:
year_flag = False
if year_flag:
if cmper.index == 3:
cmper.c_chinese = '比{0}晚'
elif cmper.index == 4:
cmper.c_chinese = '比{0}早'
if left_prop.dtype not in ['star']:
c_english = left_prop.c_english.format(typenps[left_prop.table_id].c_english+'\'s ') + cmper.c_english.format(
' ( ' + right_subq_qrynp.c_english + ' ) ')
c_chinese = left_prop.c_chinese.format(typenps[left_prop.table_id].c_chinese+'的') + \
cmper.c_chinese.format('（' + right_subq_qrynp.c_chinese + '）')
else:
c_english = left_prop.c_english.format('') + cmper.c_english.format(
' ( ' + right_subq_qrynp.c_english + ' ) ')
c_chinese = left_prop.c_chinese.format('') + \
cmper.c_chinese.format('（' + right_subq_qrynp.c_chinese + '）')
if 'year' in left_prop.c_english.format(''):
random_value = random.choice(left_prop.values)
if contains_4digits(random_value.z):
year_flag = True
else:
year_flag = False
if year_flag:
c_english.replace('is smaller than', 'is before')
c_english.replace('is larger than', 'is after')
z = left_prop.z + cmper.z.format(' ( ' + right_subq_qrynp.z + ' ) ')
cdt = CDT(c_english, c_chinese, z, left_prop, right_subq_qrynp, cmper)
return cdt
# convert a query in json format into a NP type object
# pid needs to +1 because 0 is occupied by * in SPIDER format
def np_from_entry(entry_sql, typenps, propertynps, fk_rels, finalize=False, is_recur=False):
table_ids = []
for item in entry_sql['from']['table_units']:
if item[0] == 'sql':
return "'from' not a table!"
elif item[0] == 'table_unit':
table_ids.append(item[1])
else:
raise AssertionError
join_cdts = []
for cond in entry_sql['from']['conds']:
if isinstance(cond, str):
assert cond == 'and'
continue
assert cond[1] == 2
assert cond[2][0] == 0 and cond[2][1][0] == 0 and cond[2][1][2] is False and cond[2][2] is None
assert cond[3][0] == 0 and cond[3][2] is False
pid1 = cond[2][1][1] - 1
pid2 = cond[3][1] - 1
assert pid1 >= 0 and pid2 >= 0
prop1 = copy.deepcopy(propertynps[pid1])
prop2 = copy.deepcopy(propertynps[pid2])
cmper = copy.deepcopy(CMPERS[1]) # always use equality comparer
c_english = propertynps[pid1].c_english.format(
typenps[prop1.table_id].c_english + '\'s ') + cmper.c_english.format(
propertynps[pid2].c_english.format(typenps[prop2.table_id].c_english + '\'s '))
c_chinese = propertynps[pid1].c_chinese.format(
typenps[prop1.table_id].c_chinese + '的') + cmper.c_chinese.format(
propertynps[pid2].c_chinese.format(typenps[prop2.table_id].c_chinese + '的'))
z = propertynps[pid1].z + cmper.z.format(propertynps[pid2].z)
fetched_cdt = CDT(c_english, c_chinese, z, prop1, prop2, cmper)
join_cdts.append(fetched_cdt)
tids_is_left = {item: False for item in table_ids}
tids_is_right = {item: False for item in table_ids}
for item in join_cdts:
if item.left.is_fk_left and item.right.is_fk_right:
tids_is_left[item.left.table_id] = True
tids_is_right[item.right.table_id] = True
elif item.left.is_fk_right and item.right.is_fk_left:
tids_is_left[item.right.table_id] = True
tids_is_right[item.left.table_id] = True
main_tid = []
join_simplifiable = True
if len(table_ids) > 1:
for tid in table_ids:
if tids_is_left[tid] is True and tids_is_right[tid] is False:
if len(main_tid) > 0:
print("!")
main_tid.append(tid)
# for cases where it's about two instances of the same table
elif len(tids_is_left) == 1 and len(tids_is_right) == 1:
main_tid.append(tid)
join_simplifiable = False
# if medium tables exist or multiple instances of same table exist, join conditions cannot be simplified
# because it'll lose the dependency hierarchy
elif tids_is_left[tid] is True and tids_is_right[tid] is True:
join_simplifiable = False
else:
main_tid = [table_ids[0]]
# check whether the tables joined together have multiple foreign-key reations, if so, then it's not simplifiable
if join_simplifiable and len(main_tid) > 0:
for item in join_cdts:
tid1 = item.left.table_id
tid2 = item.right.table_id
join_cdts_cnt = 0
for rel in fk_rels:
if rel.table_ids[0] == tid1 and rel.table_ids[1] == tid2:
join_cdts_cnt += 1
elif rel.table_ids[0] == tid2 and rel.table_ids[1] == tid1:
join_cdts_cnt += 1
# if there are multiple foreign key relationships between table pairs in this query, then by simplifying
# canonical utterance of join conditions ambiguity would occur
if join_cdts_cnt > 1:
join_simplifiable = False
queried_props = []
for item in entry_sql['select'][1]:
aggr = item[0]
if item[1][0] != 0:
return "calculation operator in select!"
pid = item[1][1][1] - 1
aggr_distinct = item[1][1][2]
assert item[1][2] is None
if pid < 0:
prop = copy.deepcopy(STAR_PROP)
prop.table_id = table_ids
assert aggr_distinct is False
else:
prop = copy.deepcopy(propertynps[pid]) # !!!
if aggr == 3:
prop.set_aggr(3, function=_count_uniqueness_specified, distinct=aggr_distinct)
if pid < 0:
# if there are single2multiple foreign key relationships between the multiple tables
#
# if there are multiple join-on heads, then it'd be unclear which one is to be counted,
# in such cases we rollback to using traditional 'number of entries'
if len(main_tid) == 1:
type_to_count = typenps[main_tid[0]]
prop.c_english = ' the number of %s ' % type_to_count.c_english
prop.c_chinese = '%s的数量' % type_to_count.c_chinese
else:
prop.set_aggr(aggr)
queried_props.append(prop)
cdts = []
cdt_linkers = []
for cond in entry_sql['where']:
if isinstance(cond, str):
assert cond == 'or' or cond == 'and'
cdt_linkers.append(cond)
continue
negative = cond[0]
cmper = None
cmper_idx = cond[1]
for item in CMPERS:
if item.index == cmper_idx:
cmper = copy.deepcopy(item)
break
assert cmper is not None
if cmper_idx == 9:
print(str(cond[3]))
if str(cond[3]).count('%') == 2:
cmper.set_mode('mid')
elif str(cond[3])[1] == '%':
cmper.set_mode('tail')
elif str(cond[3])[-2] == '%':
cmper.set_mode('head')
elif '%' not in str(cond[3]):
cmper.set_mode('mid')
else:
raise AssertionError
if negative and SETTING != 'dusql':
cmper.set_negative()
# does not support calculation operators
if cond[2][0] != 0:
return "calculation operator in 'where'!"
pid1 = cond[2][1][1] - 1
assert cond[2][1][0] == 0 and cond[2][1][2] is False and cond[2][2] is None
assert pid1 >= 0
chosen_prop = copy.deepcopy(propertynps[pid1])
value = cond[3]
if isinstance(value, list):
assert len(value) == 3
assert cond[4] is None
pid2 = value[1] - 1
assert pid2 >= 0
prop2 = copy.deepcopy(propertynps[pid2])
c_english = chosen_prop.c_english.format('') + cmper.c_english.format(prop2.c_english.format(''))
c_chinese = chosen_prop.c_chinese.format('') + cmper.c_chinese.format(prop2.c_chinese.format(''))
cdt = CDT(c_english, c_chinese, None, chosen_prop, prop2, cmper)
cdts.append(cdt)
elif isinstance(value, dict):
if cond[4] is not None:
return "between operator with sub-query and value!"
try:
pack = np_from_entry(value, typenps, propertynps, fk_rels, is_recur=is_recur)
except KeyError as e:
raise
if isinstance(pack, str):
return pack
else:
np_2, qrynp_2 = pack
c_english = chosen_prop.c_english.format('') + cmper.c_english.format(
' ( ' + qrynp_2.c_english + ' ) ')
c_chinese = chosen_prop.c_chinese.format('') + cmper.c_chinese.format('（' + qrynp_2.c_chinese + '）')
z = chosen_prop.z + cmper.z.format(' ( ' + qrynp_2.z + ' ) ')
cdt = CDT(c_english, c_chinese, z, chosen_prop, qrynp_2, cmper)
cdts.append(cdt)
else:
try:
value = VALUENP(str(value), str(value), str(value), chosen_prop.dtype)
value_z = '#' + value.z + '#'
value_str = value.z
except Exception as e:
raise
if cond[4] is not None:
try:
value_2 = cond[4]
value_2 = VALUENP(str(value_2), str(value_2), str(value_2), chosen_prop.dtype)
value_z_2 = '#' + value_2.z + '#'
value_str_2 = value_2.z
except Exception as e:
raise
value = [value, value_2]
value_str = [value_str, value_str_2]
value_z = [value_z, value_z_2]
else:
value = [value]
c_english = chosen_prop.c_english.format('') + cmper.c_english.format(value_str)
c_chinese = chosen_prop.c_chinese.format('') + cmper.c_chinese.format(value_str)
z = chosen_prop.z + ' ' + cmper.z.format(value_z)
cdt = CDT(c_english, c_chinese, z, chosen_prop, value, cmper)
cdts.append(cdt)
if len(cdts) > 0:
assert len(cdts) == (len(cdt_linkers) + 1)
group_props = []
for item in entry_sql['groupBy']:
assert item[0] == 0 and item[2] is False
gb_pid = item[1] - 1
assert gb_pid >= 0
gb_prop = copy.deepcopy(propertynps[gb_pid])
group_props.append(gb_prop)
having_cdts = []
if len(entry_sql['having']) > 1:
return "more than one having condition!"
for cond in entry_sql['having']:
assert cond[0] is False
cmper = None
cmper_idx = cond[1]
for item in CMPERS:
if item.index == cmper_idx:
cmper = copy.deepcopy(item)
assert cmper is not None
# does not support calculation operators
if cond[2][0] != 0:
return "calculation operator in 'having' condition!"
pid1 = cond[2][1][1] - 1
aggr = cond[2][1][0]
aggr_distinct = cond[2][1][2]
if pid1 < 0:
chosen_prop = copy.deepcopy(STAR_PROP)
chosen_prop.table_id = table_ids
assert aggr_distinct is False
else:
chosen_prop = copy.deepcopy(propertynps[pid1])
if aggr == 3:
chosen_prop.set_aggr(3, function=_count_uniqueness_specified, distinct=aggr_distinct)
if pid1 < 0:
# if there are single2multiple foreign key relationships between the multiple tables, the
if len(main_tid) == 1:
type_to_count = typenps[main_tid[0]]
chosen_prop.c_english = ' the number of %s ' % type_to_count.c_english
chosen_prop.c_chinese = '%s的数量' % type_to_count.c_chinese
else:
chosen_prop.set_aggr(aggr)
value = cond[3]
assert not isinstance(value, list)
if isinstance(value, dict):
assert cond[4] is None
try:
np_2, qrynp_2 = np_from_entry(value, typenps, propertynps, fk_rels, is_recur=True)
except KeyError as e:
raise
c_english = chosen_prop.c_english.format('') + cmper.c_english.format(
' ( ' + qrynp_2.c_english + ' ) ')
c_chinese = chosen_prop.c_chinese.format('') + cmper.c_chinese.format('（' + qrynp_2.c_chinese + '）')
z = chosen_prop.z + cmper.z.format(' ( ' + qrynp_2.z + ' ) ')
cdt = CDT(c_english, c_chinese, z, chosen_prop, qrynp_2, cmper)
having_cdts.append(cdt)
else:
try:
value = VALUENP(str(value), str(value), str(value), chosen_prop.dtype)
value_z = '#' + value.z + '#'
value_str = value.z
except Exception as e:
raise
if cond[4] is not None:
try:
value_2 = cond[4]
value_2 = VALUENP(str(value_2), str(value_2), str(value_2), chosen_prop.dtype)
value_z_2 = '#' + value_2.z + '#'
value_str_2 = value_2.z
except Exception as e:
raise
value = [value, value_2]
value_str = [value_str, value_str_2]
value_z = [value_z, value_z_2]
else:
value = [value]
c_english = chosen_prop.c_english.format('') + cmper.c_english.format(value_str)
c_chinese = chosen_prop.c_chinese.format('') + cmper.c_chinese.format(value_str)
z = chosen_prop.z + ' ' + cmper.z.format(value_z)
cdt = CDT(c_english, c_chinese, z, chosen_prop, value, cmper)
having_cdts.append(cdt)
orderby_props = []
orderby_order = None
if len(entry_sql['orderBy']) > 0:
orderby_order = entry_sql['orderBy'][0]
for item in entry_sql['orderBy'][1]:
if item[0] != 0:
return "calculation in 'orderBy' condition!"
if item[1][2] is not False:
pass
aggr = item[1][0]
ob_pid = item[1][1] - 1
if ob_pid < 0:
ob_prop = copy.deepcopy(STAR_PROP)
ob_prop.table_id = table_ids
else:
ob_prop = copy.deepcopy(propertynps[ob_pid])
if aggr == 3:
ob_prop.set_aggr(3, function=_count_uniqueness_specified, distinct=False)
if ob_pid < 0:
# if there are single2multiple foreign key relationships between the multiple tables, the
if len(main_tid) == 1:
type_to_count = typenps[main_tid[0]]
ob_prop.c_english = ' the number of %s ' % type_to_count.c_english
ob_prop.c_chinese = '%s的数量' % type_to_count.c_chinese
else:
ob_prop.set_aggr(aggr)
orderby_props.append(ob_prop)
else:
orderby_props = None
limit = entry_sql['limit']
has_union = False
has_except = False
has_intersect = False
np_2 = None
qrynp_2 = None
if entry_sql['intersect'] is not None:
assert entry_sql['union'] is None and entry_sql['except'] is None
try:
pack = np_from_entry(entry_sql['intersect'], typenps, propertynps, fk_rels, is_recur=is_recur)
has_intersect = True
except KeyError as e:
raise
if isinstance(pack, str):
return pack
else:
np_2, qrynp_2 = pack
if entry_sql['union'] is not None:
assert entry_sql['intersect'] is None and entry_sql['except'] is None
try:
pack = np_from_entry(entry_sql['union'], typenps, propertynps, fk_rels, is_recur=is_recur)
has_union = True
except KeyError as e:
raise
if isinstance(pack, str):
return pack
else:
np_2, qrynp_2 = pack
if entry_sql['except'] is not None:
assert entry_sql['union'] is None and entry_sql['intersect'] is None
try:
pack = np_from_entry(entry_sql['except'], typenps, propertynps, fk_rels, is_recur=is_recur)
has_except = True
except KeyError as e:
raise
if isinstance(pack, str):
return pack
else:
np_2, qrynp_2 = pack
distinct = entry_sql['select'][0]
if not join_simplifiable:
main_tid = []
final_np = NP(queried_props=queried_props, table_ids=table_ids, join_cdts=join_cdts, cdts=cdts,
cdt_linkers=cdt_linkers, group_props=group_props, having_cdts=having_cdts,
orderby_props=orderby_props,
orderby_order=orderby_order, limit=limit, np_2=np_2, qrynp_2=qrynp_2, has_union=has_union,
has_except=has_except, has_intersect=has_intersect, distinct=distinct, main_tids=main_tid)
final_qrynp = QRYNP(final_np, typenps=typenps, propertynps=propertynps, finalize_sequence=finalize,
is_recur=is_recur)
return final_np, final_qrynp
# convert a query in json format into a NP type object
# pid needs to +1 because 0 is occupied by * in SPIDER format
def np_from_entry_dusql(entry_sql, typenps, propertynps, fk_rels, finalize=False, is_recur=False):
table_ids = []
for item in entry_sql['from']['table_units']:
if item[0] == 'sql':
return "'from' not a table!"
elif item[0] == 'table_unit':
table_ids.append(item[1])
else:
raise AssertionError
join_cdts = []
for cond in entry_sql['from']['conds']:
if isinstance(cond, str):
assert cond == 'and'
continue
assert cond[1] == 2
assert cond[2][0] == 0 and cond[2][1][0] == 0 and cond[2][2] is None
pid1 = cond[2][1][1] - 1
pid2 = cond[3] - 1
assert pid1 >= 0 and pid2 >= 0
prop1 = copy.deepcopy(propertynps[pid1])
prop2 = copy.deepcopy(propertynps[pid2])
cmper = copy.deepcopy(CMPERS[1]) # always use equality comparer
c_english = propertynps[pid1].c_english.format(
typenps[prop1.table_id].c_english + '\'s ') + cmper.c_english.format(
propertynps[pid2].c_english.format(typenps[prop2.table_id].c_english + '\'s '))
c_chinese = propertynps[pid1].c_chinese.format(
typenps[prop1.table_id].c_chinese + '的') + cmper.c_chinese.format(
propertynps[pid2].c_chinese.format(typenps[prop2.table_id].c_chinese + '的'))
z = propertynps[pid1].z + cmper.z.format(propertynps[pid2].z)
fetched_cdt = CDT(c_english, c_chinese, z, prop1, prop2, cmper)
join_cdts.append(fetched_cdt)
tids_is_left = {item: False for item in table_ids}
tids_is_right = {item: False for item in table_ids}
for item in join_cdts:
if item.left.is_fk_left and item.right.is_fk_right:
tids_is_left[item.left.table_id] = True
tids_is_right[item.right.table_id] = True
elif item.left.is_fk_right and item.right.is_fk_left:
tids_is_left[item.right.table_id] = True
tids_is_right[item.left.table_id] = True
main_tid = []
join_simplifiable = True
if len(table_ids) > 1:
for tid in table_ids:
if tids_is_left[tid] is True and tids_is_right[tid] is False:
if len(main_tid) > 0:
print("!")
main_tid.append(tid)
# for cases where it's about two instances of the same table
elif len(tids_is_left) == 1 and len(tids_is_right) == 1:
main_tid.append(tid)
join_simplifiable = False
# if medium tables exist or multiple instances of same table exist, join conditions cannot be simplified
# because it'll lose the dependency hierarchy
elif tids_is_left[tid] is True and tids_is_right[tid] is True:
join_simplifiable = False
else:
main_tid = [table_ids[0]]
# check whether the tables joined together have multiple foreign-key reations, if so, then it's not simplifiable
if join_simplifiable and len(main_tid) > 0:
for item in join_cdts:
tid1 = item.left.table_id
tid2 = item.right.table_id
join_cdts_cnt = 0
for rel in fk_rels:
if rel.table_ids[0] == tid1 and rel.table_ids[1] == tid2:
join_cdts_cnt += 1
elif rel.table_ids[0] == tid2 and rel.table_ids[1] == tid1:
join_cdts_cnt += 1
# if there are multiple foreign key relationships between table pairs in this query, then by simplifying
# canonical utterance of join conditions ambiguity would occur
if join_cdts_cnt > 1:
join_simplifiable = False
queried_props = []
for item in entry_sql['select']:
aggr = item[0]
if item[1][0] != 0:
return "calculation operator in select!"
pid = item[1][1][1] - 1
assert item[1][2] is None
if pid < 0:
prop = copy.deepcopy(STAR_PROP)
prop.table_id = table_ids
else:
prop = copy.deepcopy(propertynps[pid]) # !!!
if aggr == 3:
prop.set_aggr(3, function=_count_uniqueness_specified, distinct=False)
if pid < 0:
# if there are single2multiple foreign key relationships between the multiple tables
#
# if there are multiple join-on heads, then it'd be unclear which one is to be counted,
# in such cases we rollback to using traditional 'number of entries'
if len(main_tid) == 1:
type_to_count = typenps[main_tid[0]]
prop.c_english = ' the number of %s ' % type_to_count.c_english
prop.c_chinese = '%s的数量' % type_to_count.c_chinese
else:
prop.set_aggr(aggr)
queried_props.append(prop)
cdts = []
cdt_linkers = []
for cond in entry_sql['where']:
if isinstance(cond, str):
assert cond == 'or' or cond == 'and'
cdt_linkers.append(cond)
continue
cmper = None
cmper_idx = cond[1]
for item in CMPERS:
if item.index == cmper_idx:
cmper = copy.deepcopy(item)
break
if cmper is None:
print(cmper_idx)
raise AssertionError
if cmper_idx == 0:
print("cmper_idx 0!")
if cmper_idx == 9:
print(str(cond[3]))
if len(str(cond[3])) == 1:
cmper.set_mode('equal')
elif str(cond[3]).count('%') == 2:
cmper.set_mode('mid')
elif str(cond[3])[1] == '%':
cmper.set_mode('tail')
elif str(cond[3])[-2] == '%':
cmper.set_mode('head')
elif '%' not in str(cond[3]):
cmper.set_mode('mid')
else:
raise AssertionError
# does not support calculation operators
if cond[2][0] != 0:
return "calculation operator in 'where'!"
pid1 = cond[2][1][1] - 1
assert cond[2][1][0] == 0 and cond[2][2] is None
assert pid1 >= 0
chosen_prop = copy.deepcopy(propertynps[pid1])
value = cond[3]
# should be impossible
if isinstance(value, list):
raise AssertionError
assert len(value) == 3
assert cond[4] is None
pid2 = value[1] - 1
assert pid2 >= 0
prop2 = copy.deepcopy(propertynps[pid2])
c_english = chosen_prop.c_english.format('') + cmper.c_english.format(prop2.c_english.format(''))
c_chinese = chosen_prop.c_chinese.format('') + cmper.c_chinese.format(prop2.c_chinese.format(''))
cdt = CDT(c_english, c_chinese, None, chosen_prop, prop2, cmper)
cdts.append(cdt)
elif isinstance(value, dict):
if cond[4] is not None: