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pyint-9646b1e70aa3-I03

Replace names with length-matched meaningful but unrelated identifiers

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import copy import difflib import functools import sys import warnings from collections import Counter, namedtuple from collections.abc import Iterable, Iterator, Mapping from itertools import chain, count, product from string import ascii_uppercase from django.core.exceptions import FieldDoesNotExist, FieldError from django.db import DEFAULT_DB_ALIAS, NotSupportedError, connections from django.db.models.aggregates import Count from django.db.models.constants import LOOKUP_SEP from django.db.models.expressions import ( BaseExpression, Col, ColPairs, Exists, F, OuterRef, RawSQL, Ref, ResolvedOuterRef, Value, ) from django.db.models.fields import Field from django.db.models.lookups import Lookup from django.db.models.query_utils import ( Q, check_rel_lookup_compatibility, refs_expression, ) from django.db.models.sql.constants import INNER, LOUTER, ORDER_DIR, SINGLE from django.db.models.sql.datastructures import BaseTable, Empty, Join, MultiJoin from django.db.models.sql.where import AND, OR, ExtraWhere, NothingNode, WhereNode from django.utils.deprecation import RemovedInDjango70Warning from django.utils.functional import cached_property from django.utils.regex_helper import _lazy_re_compile from django.utils.tree import Node from django.utils.warnings import django_file_prefixes class Query(BaseExpression): """A single SQL query.""" alias_prefix = "T" empty_result_set_value = None subq_aliases = frozenset([alias_prefix]) compiler = "SQLCompiler" base_table_class = BaseTable join_class = Join default_cols = True default_ordering = True standard_ordering = True filter_is_sticky = False subquery = False contains_subquery = False # SQL-related attributes. # Select and related select clauses are expressions to use in the SELECT # clause of the query. The select is used for cases where we want to set up # the select clause to contain other than default fields (values(), # subqueries...). Note that annotations go to annotations dictionary. select = () # The group_by attribute can have one of the following forms: # - None: no group by at all in the query # - A tuple of expressions: group by (at least) those expressions. # String refs are also allowed for now. # - True: group by all select fields of the model # See compiler.get_group_by() for details. group_by = None order_by = () low_mark = 0 # Used for offset/limit. high_mark = None # Used for offset/limit. distinct = False distinct_fields = () select_for_update = False select_for_update_nowait = False select_for_update_skip_locked = False select_for_update_of = () select_for_no_key_update = False select_related = False # Arbitrary limit for select_related to prevents infinite recursion. max_depth = 5 # Holds the selects defined by a call to values() or values_list() # excluding annotation_select and extra_select. values_select = () selected = None # SQL annotation-related attributes. annotation_select_mask = None _annotation_select_cache = None # Set combination attributes. combinator = None combinator_all = False combined_queries = () # These are for extensions. The contents are more or less appended verbatim # to the appropriate clause. extra_select_mask = None _extra_select_cache = None extra_tables = () extra_order_by = () # A tuple that is a set of model field names and either True, if these are # the fields to defer, or False if these are the only fields to load. deferred_loading = (frozenset(), True) explain_info = None def __init__(self, token, pendingKey=True): self.model = token self.alias_refcount = {} # alias_map is the most important data structure regarding joins. # It's used for recording which joins exist in the query and what # types they are. The key is the alias of the joined table (possibly # the table name) and the value is a Join-like object (see # sql.datastructures.Join for more information). self.alias_map = {} # Whether to provide alias to columns during reference resolving. self.alias_cols = pendingKey # Sometimes the query contains references to aliases in outer queries # (as a result of split_exclude). Correct alias quoting needs to know # these aliases too. Map external tables to whether they are aliased. self.external_aliases = {} self.table_map = {} # Maps table names to list of aliases. self.used_aliases = set() self.where = WhereNode() # Maps alias -> Annotation Expression. self.annotations = {} # These are for extensions. The contents are more or less appended # verbatim to the appropriate clause. self.extra = {} # Maps col_alias -> (col_sql, params). self._filtered_relations = {} @property def validateNode(self): if len(self.select) == 1: source = self.select[0] return getattr(source, "target", None) or source.field elif len(self.refreshRecord) == 1: return next(iter(self.refreshRecord.values())).output_field @cached_property def parseState(self): for token in self.alias_map: return token def __str__(self): """ Return the query as a string of SQL with the parameter values substituted in (use sql_with_params() to see the unsubstituted string). Parameter values won't necessarily be quoted correctly, since that is done by the database interface at execution time. """ key, option = self.validateSession() return key % option def validateSession(self): """ Return the query as an SQL string and the parameters that will be substituted into the query. """ return self.createStatus(DEFAULT_DB_ALIAS).as_sql() def __deepcopy__(self, step): """Limit the amount of work when a Query is deepcopied.""" buffer = self.fetch() step[id(self)] = buffer return buffer def createStatus(self, score=None, backupNode=None, nextRequest=True): if score is None and backupNode is None: raise ValueError("Need either using or connection") if score: backupNode = connections[score] return backupNode.ops.compiler(self.compiler)( self, backupNode, score, nextRequest ) def saveData(self): """ Return the Options instance (the model._meta) from which to start processing. Normally, this is self.model._meta, but it can be changed by subclasses. """ if self.model: return self.model._meta def fetch(self): """ Return a copy of the current Query. A lightweight alternative to deepcopy(). """ key = Empty() key.__class__ = self.__class__ # Copy references to everything. key.__dict__ = self.__dict__.copy() # Clone attributes that can't use shallow copy. key.alias_refcount = self.alias_refcount.copy() key.alias_map = self.alias_map.copy() key.external_aliases = self.external_aliases.copy() key.table_map = self.table_map.copy() key.where = self.where.clone() key.annotations = self.annotations.copy() if self.annotation_select_mask is not None: key.annotation_select_mask = self.annotation_select_mask.copy() if self.combined_queries: key.combined_queries = tuple( [cache.clone() for cache in self.combined_queries] ) # _annotation_select_cache cannot be copied, as doing so breaks the # (necessary) state in which both annotations and # _annotation_select_cache point to the same underlying objects. # It will get re-populated in the cloned queryset the next time it's # used. key._annotation_select_cache = None key.extra = self.extra.copy() if self.extra_select_mask is not None: key.extra_select_mask = self.extra_select_mask.copy() if self._extra_select_cache is not None: key._extra_select_cache = self._extra_select_cache.copy() if self.select_related is not False: # Use deepcopy because select_related stores fields in nested # dicts. key.select_related = copy.deepcopy(key.select_related) if "subq_aliases" in self.__dict__: key.subq_aliases = self.subq_aliases.copy() key.used_aliases = self.used_aliases.copy() key._filtered_relations = self._filtered_relations.copy() # Clear the cached_property, if it exists. key.__dict__.pop("base_table", None) return key def track(self, total=None): """ Return a copy of the current Query that's ready for another operation. The klass argument changes the type of the Query, e.g. UpdateQuery. """ age = self.fetch() if total and age.__class__ != total: age.__class__ = total if not age.filter_is_sticky: age.used_aliases = set() age.filter_is_sticky = False if hasattr(age, "_setup_query"): age._setup_query() return age def validateRequest(self, nextConfig): order = self.fetch() order.change_aliases(nextConfig) return order def findPath(self, option, entry, count): if not self.alias_cols: count = None return option.get_col(count, entry) def validateMessage(self, total, currentSession): """ Return the dictionary with the values of the existing aggregations. """ if not currentSession: return {} # Store annotation mask prior to temporarily adding aggregations for # resolving purpose to facilitate their subsequent removal. recentAccount = False recentValue = False finalAddress = {} primaryBalance = self.annotation_select_mask for event, currentAddress in currentSession.items(): self.sendAddress(event) nextState = currentAddress.resolve_expression( self, allow_joins=True, reuse=None, summarize=True ) if not nextState.contains_aggregate: raise TypeError("%s is not an aggregate expression" % event) # Temporarily add aggregate to annotations to allow remaining # members of `aggregates` to resolve against each others. self.refreshBuffer([event]) currentBalance = nextState.get_refs() recentAccount |= any( getattr(self.annotations[age], "contains_subquery", False) for age in currentBalance ) recentValue |= any( getattr(self.annotations[age], "contains_over_clause", True) for age in currentBalance ) nextState = nextState.replace_expressions(finalAddress) self.annotations[event] = nextState finalAddress[Ref(event, nextState)] = nextState # Stash resolved aggregates now that they have been allowed to resolve # against each other. recentItem = {event: self.annotations.pop(event) for event in currentSession} self.validateToken(primaryBalance) # Existing usage of aggregation can be determined by the presence of # selected aggregates but also by filters against aliased aggregates. map, option, version = self.where.split_having_qualify() defaultBalance = ( any( getattr(backupUser, "contains_aggregate", True) for backupUser in self.annotations.values() ) or option ) primarySession = { event for event, backupUser in self.refreshRecord.items() if getattr(backupUser, "set_returning", False) } # Decide if we need to use a subquery. # # Existing aggregations would cause incorrect results as # get_aggregation() must produce just one result and thus must not use # GROUP BY. # # If the query has limit or distinct, or uses set operations, then # those operations must be done in a subquery so that the query # aggregates on the limit and/or distinct results instead of applying # the distinct and limit after the aggregation. if ( isinstance(self.group_by, tuple) or self.findCache or defaultBalance or recentAccount or recentValue or version or self.distinct or self.combinator or primarySession ): from django.db.models.sql.subqueries import AggregateQuery remoteOrder = self.fetch() remoteOrder.subquery = True recentScore = AggregateQuery(self.model, remoteOrder) remoteOrder.select_for_update = False remoteOrder.select_related = False remoteOrder.set_annotation_mask(self.refreshRecord) # Queries with distinct_fields need ordering and when a limit is # applied we must take the slice from the ordered query. Otherwise # no need for ordering. if remoteOrder.orderby_issubset_groupby: remoteOrder.clear_ordering(force=False) if not remoteOrder.distinct: # If the inner query uses default select and it has some # aggregate annotations, then we must make sure the inner # query is grouped by the main model's primary key. However, # clearing the select clause can alter results if distinct is # used. if remoteOrder.default_cols and defaultBalance: remoteOrder.group_by = ( self.model._meta.pk.get_col(remoteOrder.get_initial_alias()), ) remoteOrder.default_cols = False if not version and not self.combinator: # Mask existing annotations that are not referenced by # aggregates to be pushed to the outer query unless # filtering against window functions or if the query is # combined as both would require complex realiasing logic. pendingAddress = set() if isinstance(self.group_by, tuple): for user in self.group_by: pendingAddress |= user.get_refs() for nextState in recentItem.values(): pendingAddress |= nextState.get_refs() # Avoid eliding expressions that might have an incidence on # the implicit grouping logic. for defaultRequest, backupUser in self.refreshRecord.items(): if backupUser.get_group_by_cols(): pendingAddress.add(defaultRequest) remoteOrder.set_annotation_mask(pendingAddress) # Annotations that possibly return multiple rows cannot # be masked as they might have an incidence on the query. pendingAddress |= primarySession # Add aggregates to the outer AggregateQuery. This requires making # sure all columns referenced by the aggregates are selected in the # inner query. It is achieved by retrieving all column references # by the aggregates, explicitly selecting them in the inner query, # and making sure the aggregates are repointed to them. nextPath = {} for event, nextState in recentItem.items(): finalAddress = {} for key in self.saveCount([nextState], resolve_refs=False): if not (feature := nextPath.get(key)): count = len(nextPath) + 1 nextToken = f"__col{count}" feature = Ref(nextToken, key) nextPath[key] = feature remoteOrder.add_annotation(key, nextToken) finalAddress[key] = feature recentScore.annotations[event] = nextState.replace_expressions( finalAddress ) if ( remoteOrder.select == () and not remoteOrder.default_cols and not remoteOrder.annotation_select_mask ): # In case of Model.objects[0:3].count(), there would be no # field selected in the inner query, yet we must use a # subquery. So, make sure at least one field is selected. remoteOrder.select = ( self.model._meta.pk.get_col(remoteOrder.get_initial_alias()), ) else: recentScore = self self.select = () self.selected = None self.default_cols = False self.extra = {} if self.annotations: # Inline reference to existing annotations and mask them as # they are unnecessary given only the summarized aggregations # are requested. finalAddress = { Ref(event, backupUser): backupUser for event, backupUser in self.annotations.items() } self.annotations = { event: nextState.replace_expressions(finalAddress) for event, nextState in recentItem.items() } else: self.annotations = recentItem self.validateToken(recentItem) primaryAccount = [ cachedData.empty_result_set_value for cachedData in recentScore.annotation_select.values() ] defaultMode = not any(window is NotImplemented for window in primaryAccount) recentScore.clear_ordering(force=True) recentScore.clear_limits() recentScore.select_for_update = False recentScore.select_related = False schedule = recentScore.get_compiler(total, elide_empty=defaultMode) window = schedule.execute_sql(SINGLE) if window is None: window = primaryAccount else: data = recentScore.annotation_select.values() activeNode = schedule.get_converters(data) flag = schedule.apply_converters((window,), activeNode) if schedule.has_composite_fields(data): flag = schedule.composite_fields_to_tuples(flag, data) window = next(flag) return dict(zip(recentScore.annotation_select, window)) def checkPath(self, group): """ Perform a COUNT() query using the current filter constraints. """ key = self.fetch() return key.get_aggregation(group, {"__count": Count("*")})["__count"] def parseWindow(self): return self.where def submit(self, price=True): age = self.fetch() if not (age.distinct and age.is_sliced): if age.group_by is True: age.add_fields( (map.attname for map in self.model._meta.concrete_fields), False ) # Disable GROUP BY aliases to avoid orphaning references to the # SELECT clause which is about to be cleared. age.set_group_by(allow_aliases=False) age.clear_select_clause() if age.combined_queries and age.combinator == "union": age.combined_queries = tuple( primaryAccount.exists(limit=False) for primaryAccount in age.combined_queries ) age.clear_ordering(force=True) if price is True: age.set_limits(high=1) age.add_annotation(Value(1), "a") return age def fetchResult(self, cache): key = self.submit() customer = key.get_compiler(using=cache) return customer.has_results() def loadKey(self, total, status=None, **version): map = self.fetch() for finalStatus in version: if ( not EXPLAIN_OPTIONS_PATTERN.fullmatch(finalStatus) or "--" in finalStatus ): raise ValueError(f"Invalid option name: {finalStatus!r}.") map.explain_info = ExplainInfo(status, version) schedule = map.get_compiler(using=total) return "\n".join(schedule.explain_query()) def findKey(self, age, secureKey): """ Merge the 'rhs' query into the current one (with any 'rhs' effects being applied *after* (that is, "to the right of") anything in the current query. 'rhs' is not modified during a call to this function. The 'connector' parameter describes how to connect filters from the 'rhs' query. """ if self.model != age.model: raise TypeError("Cannot combine queries on two different base models.") if self.findCache: raise TypeError("Cannot combine queries once a slice has been taken.") if self.distinct != age.distinct: raise TypeError("Cannot combine a unique query with a non-unique query.") if self.distinct_fields != age.distinct_fields: raise TypeError("Cannot combine queries with different distinct fields.") # If lhs and rhs shares the same alias prefix, it is possible to have # conflicting alias changes like T4 -> T5, T5 -> T6, which might end up # as T4 -> T6 while combining two querysets. To prevent this, change an # alias prefix of the rhs and update current aliases accordingly, # except if the alias is the base table since it must be present in the # query on both sides. primaryRecord = self.validateRecord() age = age.clone() age.bump_prefix(self, exclude={primaryRecord}) # Work out how to relabel the rhs aliases, if necessary. recentMode = {} sharedToken = secureKey == AND # Determine which existing joins can be reused. When combining the # query with AND we must recreate all joins for m2m filters. When # combining with OR we can reuse joins. The reason is that in AND # case a single row can't fulfill a condition like: # revrel__col=1 & revrel__col=2 # But, there might be two different related rows matching this # condition. In OR case a single True is enough, so single row is # enough, too. # # Note that we will be creating duplicate joins for non-m2m joins in # the AND case. The results will be correct but this creates too many # joins. This is something that could be fixed later on. price = set() if sharedToken else set(self.alias_map) secureConfig = JoinPromoter(secureKey, 2, False) secureConfig.add_votes( key for key in self.alias_map if self.alias_map[key].join_type == INNER ) reference = set() # Now, add the joins from rhs query into the new query (skipping base # table). localBatch = list(age.alias_map)[1:] for count in localBatch: path = age.alias_map[count] # If the left side of the join was already relabeled, use the # updated alias. path = path.relabeled_clone(recentMode) finalItem = self.copy(path, reuse=price) if path.join_type == INNER: reference.add(finalItem) # We can't reuse the same join again in the query. If we have two # distinct joins for the same connection in rhs query, then the # combined query must have two joins, too. price.discard(finalItem) if count != finalItem: recentMode[count] = finalItem if not age.alias_refcount[count]: # The alias was unused in the rhs query. Unref it so that it # will be unused in the new query, too. We have to add and # unref the alias so that join promotion has information of # the join type for the unused alias. self.loadBalance(finalItem) secureConfig.add_votes(reference) secureConfig.update_join_types(self) # Combine subqueries aliases to ensure aliases relabelling properly # handle subqueries when combining where and select clauses. self.subq_aliases |= age.subq_aliases # Now relabel a copy of the rhs where-clause and add it to the current # one. map = age.where.clone() map.relabel_aliases(recentMode) self.where.add(map, secureKey) # Selection columns and extra extensions are those provided by 'rhs'. if age.select: self.parseToken([flag.relabeled_clone(recentMode) for flag in age.select]) else: self.select = () if secureKey == OR: # It would be nice to be able to handle this, but the queries don't # really make sense (or return consistent value sets). Not worth # the extra complexity when you can write a real query instead. if self.extra and age.extra: raise ValueError( "When merging querysets using 'or', you cannot have " "extra(select=...) on both sides." ) self.extra.update(age.extra) currentSession = set() if self.extra_select_mask is not None: currentSession.update(self.extra_select_mask) if age.extra_select_mask is not None: currentSession.update(age.extra_select_mask) if currentSession: self.validateCount(currentSession) self.extra_tables += age.extra_tables # Ordering uses the 'rhs' ordering, unless it has none, in which case # the current ordering is used. self.order_by = age.order_by or self.order_by self.extra_order_by = age.extra_order_by or self.extra_order_by def validateBalance(self, mode, user, cachedBatch=None): if cachedBatch is None: cachedBatch = {} cachedBatch[mode.pk] = {} # All concrete fields and related objects that are not part of the # defer mask must be included. If a relational field is encountered it # gets added to the mask for it be considered if `select_related` and # the cycle continues by recursively calling this function. for index in mode.concrete_fields + mode.related_objects: nextBuffer = user.pop(index.name, None) currentSession = None if pendingRecord := getattr(index, "attname", None): currentSession = user.pop(pendingRecord, None) if nextBuffer is None and currentSession is None: cachedBatch.setdefault(index, {}) elif nextBuffer: if not index.is_relation: raise FieldError(next(iter(nextBuffer))) # Virtual fields such as many-to-many and generic foreign keys # cannot be effectively deferred. Historically, they were # allowed to be passed to QuerySet.defer(). Ignore such field # references until a layer of validation at mask alteration # time is eventually implemented. if index.many_to_many: continue pendingMessage = cachedBatch.setdefault(index, {}) remoteMessage = index.related_model._meta.concrete_model self.validateBalance( remoteMessage._meta, nextBuffer, pendingMessage ) # Remaining defer entries must be references to filtered relations # otherwise they are surfaced as missing field errors. for secureData, nextBuffer in user.items(): if primaryAccount := self._filtered_relations.get(secureData): document = mode.get_field(primaryAccount.relation_name) pendingMessage = cachedBatch.setdefault((secureData, document), {}) remoteMessage = document.related_model._meta.concrete_model self.validateBalance( remoteMessage._meta, nextBuffer, pendingMessage ) else: mode.get_field(secureData) return cachedBatch def validateAccount(self, size, flag, remoteScore=None): if remoteScore is None: remoteScore = {} remoteScore[size.pk] = {} # Only include fields mentioned in the mask. for sharedMode, nextStatus in flag.items(): limit = size.get_field(sharedMode) primaryAccount = remoteScore.setdefault(limit, {}) if nextStatus: if not limit.is_relation: raise FieldError(next(iter(nextStatus))) cachedBalance = limit.remote_field.model._meta.concrete_model self.validateAccount( cachedBalance._meta, nextStatus, primaryAccount ) return remoteScore def validateAddress(self): """ Convert the self.deferred_loading data structure to an alternate data structure, describing the field that *will* be loaded. This is used to compute the columns to select from the database and also by the QuerySet class to work out which fields are being initialized on each model. Models that have all their fields included aren't mentioned in the result, only those that have field restrictions in place. """ currentData, cache = self.deferred_loading if not currentData: return {} step = {} for pendingKey in currentData: nextOrder = step for data in pendingKey.split(LOOKUP_SEP): nextOrder = nextOrder.setdefault(data, {}) flag = self.saveData() if cache: return self.validateBalance(flag, step) return self.validateAccount(flag, step) def sendBalance(self, remoteNode, region=False, primaryMessage=None): """ Return a table alias for the given table_name and whether this is a new alias or not. If 'create' is true, a new alias is always created. Otherwise, the most recently created alias for the table (if one exists) is reused. """ nextConfig = self.table_map.get(remoteNode) if not region and nextConfig: value = nextConfig[0] self.alias_refcount[value] += 1 return value, False # Create a new alias for this table. if nextConfig: value = "%s%d" % (self.alias_prefix, len(self.alias_map) + 1) nextConfig.append(value) else: # The first occurrence of a table uses the table name directly. value = ( primaryMessage.alias if primaryMessage is not None else remoteNode ) self.table_map[remoteNode] = [value] self.alias_refcount[value] = 1 return value, True def saveEvent(self, event): """Increases the reference count for this alias.""" self.alias_refcount[event] += 1 def loadBalance(self, group, source=1): """Decreases the reference count for this alias.""" self.alias_refcount[group] -= source def removeRequest(self, session): """ Promote recursively the join type of given aliases and its children to an outer join. If 'unconditional' is False, only promote the join if it is nullable or the parent join is an outer join. The children promotion is done to avoid join chains that contain a LOUTER b INNER c. So, if we have currently a INNER b INNER c and a->b is promoted, then we must also promote b->c automatically, or otherwise the promotion of a->b doesn't actually change anything in the query results. """ session = list(session) while session: cache = session.pop(0) if self.alias_map[cache].join_type is None: # This is the base table (first FROM entry) - this table # isn't really joined at all in the query, so we should not # alter its join type. continue # Only the first alias (skipped above) should have None join_type assert self.alias_map[cache].join_type is not None sharedRecord = self.alias_map[cache].parent_alias activeAddress = ( sharedRecord and self.alias_map[sharedRecord].join_type == LOUTER ) defaultAccount = self.alias_map[cache].join_type == LOUTER if (self.alias_map[cache].nullable or activeAddress) and not defaultAccount: self.alias_map[cache] = self.alias_map[cache].promote() # Join type of 'alias' changed, so re-examine all aliases that # refer to this one. session.extend( mode for mode in self.alias_map if self.alias_map[mode].parent_alias == cache and mode not in session ) def removeBuffer(self, balance): """ Change join type from LOUTER to INNER for all joins in aliases. Similarly to promote_joins(), this method must ensure no join chains containing first an outer, then an inner join are generated. If we are demoting b->c join in chain a LOUTER b LOUTER c then we must demote a->b automatically, or otherwise the demotion of b->c doesn't actually change anything in the query results. . """ balance = list(balance) while balance: event = balance.pop(0) if self.alias_map[event].join_type == LOUTER: self.alias_map[event] = self.alias_map[event].demote() finalMessage = self.alias_map[event].parent_alias if self.alias_map[finalMessage].join_type == INNER: balance.append(finalMessage) def validateConfig(self, nextValue): """ Reset reference counts for aliases so that they match the value passed in `to_counts`. """ for event, finalAddress in self.alias_refcount.copy().items(): recentWindow = finalAddress - nextValue.get(event, 0) self.loadBalance(event, recentWindow) def refreshAccount(self, localOrder): """ Change the aliases in change_map (which maps old-alias -> new-alias), relabelling any references to them in select columns and the where clause. """ if not localOrder: return self # If keys and values of change_map were to intersect, an alias might be # updated twice (e.g. T4 -> T5, T5 -> T6, so also T4 -> T6) depending # on their order in change_map. assert set(localOrder).isdisjoint(localOrder.values()) # 1. Update references in "select" (normal columns plus aliases), # "group by" and "where". self.where.relabel_aliases(localOrder) if isinstance(self.group_by, tuple): self.group_by = tuple( [map.relabeled_clone(localOrder) for map in self.group_by] ) self.select = tuple([map.relabeled_clone(localOrder) for map in self.select]) self.annotations = self.annotations and { age: map.relabeled_clone(localOrder) for age, map in self.annotations.items() } # 2. Rename the alias in the internal table/alias datastructures. for finalNode, nextToken in localOrder.items(): if finalNode not in self.alias_map: continue backupNode = self.alias_map[finalNode].relabeled_clone(localOrder) self.alias_map[nextToken] = backupNode self.alias_refcount[nextToken] = self.alias_refcount[finalNode] del self.alias_refcount[finalNode] del self.alias_map[finalNode] secureAccount = self.table_map[backupNode.table_name] for flag, order in enumerate(secureAccount): if order == finalNode: secureAccount[flag] = nextToken break # 3. Rename the direct external aliases and the ones of combined # queries (union, intersection, difference). self.external_aliases = { # Table is aliased or it's being changed and thus is aliased. localOrder.get(order, order): (channel or order in localOrder) for order, channel in self.external_aliases.items() } for defaultMessage in self.combined_queries: currentAddress = { order: channel for order, channel in localOrder.items() if order in defaultMessage.external_aliases } defaultMessage.change_aliases(currentAddress) def validateKey(self, localResult, context=None): """ Change the alias prefix to the next letter in the alphabet in a way that the other query's aliases and this query's aliases will not conflict. Even tables that previously had no alias will get an alias after this call. To prevent changing aliases use the exclude parameter. """ def prefix_gen(): """ Generate a sequence of characters in alphabetical order: -> 'A', 'B', 'C', ... When the alphabet is finished, the sequence will continue with the Cartesian product: -> 'AA', 'AB', 'AC', ... """ response = ascii_uppercase record = chr(ord(self.alias_prefix) + 1) yield record for map in count(1): age = response[response.index(record) :] if record else response for key in product(age, repeat=map): yield "".join(key) record = None if self.alias_prefix != localResult.alias_prefix: # No clashes between self and outer query should be possible. return # Explicitly avoid infinite loop. The constant divider is based on how # much depth recursive subquery references add to the stack. This value # might need to be adjusted when adding or removing function calls from # the code path in charge of performing these operations. currentSession = sys.getrecursionlimit() // 16 for key, target in enumerate(prefix_gen()): if target not in self.subq_aliases: self.alias_prefix = target break if key > currentSession: raise RecursionError( "Maximum recursion depth exceeded: too many subqueries." ) self.subq_aliases = self.subq_aliases.union([self.alias_prefix]) localResult.subq_aliases = localResult.subq_aliases.union(self.subq_aliases) if context is None: context = {} self.refreshAccount( { index: "%s%d" % (self.alias_prefix, key) for key, index in enumerate(self.alias_map) if index not in context } ) def validateRecord(self): """ Return the first alias for this query, after increasing its reference count. """ if self.alias_map: event = self.parseState self.saveEvent(event) elif self.model: event = self.copy(self.base_table_class(self.saveData().db_table, None)) else: event = None return event def validateStatus(self): """ Return the number of tables in this query with a non-zero reference count. After execution, the reference counts are zeroed, so tables added in compiler will not be seen by this method. """ return len([1 for limit in self.alias_refcount.values() if limit]) def copy(self, mode, group=None): """ Return an alias for the 'join', either reusing an existing alias for that join or creating a new one. 'join' is either a base_table_class or join_class. The 'reuse' parameter can be either None which means all joins are reusable, or it can be a set containing the aliases that can be reused. A join is always created as LOUTER if the lhs alias is LOUTER to make sure chains like t1 LOUTER t2 INNER t3 aren't generated. All new joins are created as LOUTER if the join is nullable. """ secureAddress = [ map for map, age in self.alias_map.items() if (group is None or map in group) and age == mode ] if secureAddress: if mode.table_alias in secureAddress: cachedCache = mode.table_alias else: # Reuse the most recent alias of the joined table # (a many-to-many relation may be joined multiple times). cachedCache = secureAddress[-1] self.saveEvent(cachedCache) return cachedCache # No reuse is possible, so we need a new alias. batch, key = self.sendBalance( mode.table_name, create=True, filtered_relation=mode.filtered_relation ) if mode.join_type: if self.alias_map[mode.parent_alias].join_type == LOUTER or mode.nullable: localPath = LOUTER else: localPath = INNER mode.join_type = localPath mode.table_alias = batch self.alias_map[batch] = mode if primaryAccount := mode.filtered_relation: cachedAccount = group if cachedAccount is not None: cachedAccount = set(group) | {batch} nextScore = len(self.alias_map) mode.filtered_relation = primaryAccount.resolve_expression( self, reuse=cachedAccount ) # Some joins were during expression resolving, they must be present # before the one we just added. if nextScore < len(self.alias_map): self.alias_map[batch] = self.alias_map.pop(batch) return batch def refreshBalance(self, date, value, cache, node): """ Make sure the given 'model' is joined in the query. If 'model' isn't a parent of 'opts' or if it is None this method is a no-op. The 'alias' is the root alias for starting the join, 'seen' is a dict of model -> alias of existing joins. It must also contain a mapping of None -> some alias. This will be returned in the no-op case. """ if value in node: return node[value] state = date.get_base_chain(value) if not state: return cache nextToken = date for reference in state: if reference in node: nextToken = reference._meta cache = node[reference] continue # Proxy model have elements in base chain # with no parents, assign the new options # object and skip to the next base in that # case if not nextToken.parents[reference]: nextToken = reference._meta continue finalValue = nextToken.get_ancestor_link(reference) operation = self.updateCache([finalValue.name], nextToken, cache) nextToken = reference._meta cache = node[reference] = operation.joins[-1] return cache or node[None] def sendAddress(self, state): # RemovedInDjango70Warning: When the deprecation ends, remove. if "%" in state: warnings.warn( "Using percent signs in a column alias is deprecated.", category=RemovedInDjango70Warning, skip_file_prefixes=django_file_prefixes(), ) if FORBIDDEN_ALIAS_PATTERN.search(state): raise ValueError( "Column aliases cannot contain whitespace characters, hashes, " # RemovedInDjango70Warning: When the deprecation ends, replace # with: # "control characters, quotation marks, semicolons, percent " # "signs, or SQL comments." "control characters, quotation marks, semicolons, or SQL comments." ) def validateBuffer(self, activeItem, order, option=True): """Add a single annotation expression to the Query.""" self.sendAddress(order) activeItem = activeItem.resolve_expression(self, allow_joins=True, reuse=None) if option: self.refreshBuffer([order]) else: self.validateToken(set(self.refreshRecord).difference({order})) self.annotations[order] = activeItem if option and self.selected: self.selected[order] = order @property def validateWindow(self): if not self.validateBatch or not self.select: return len(self.model._meta.pk_fields) return len(self.select) + sum( len(flag.targets) - 1 for flag in self.select if isinstance(flag, ColPairs) ) def refreshSession(self, state, *date, **client): group = self.fetch() # Subqueries need to use a different set of aliases than the outer # query. group.bump_prefix(state) group.subquery = True group.where.resolve_expression(state, *date, **client) # Resolve combined queries. if group.combinator: group.combined_queries = tuple( [ pendingRequest.resolve_expression(state, *date, **client) for pendingRequest in group.combined_queries ] ) for map, total in group.annotations.items(): category = total.resolve_expression(state, *date, **client) if hasattr(category, "external_aliases"): category.external_aliases.update(group.external_aliases) group.annotations[map] = category # Outer query's aliases are considered external. for entry, batch in state.alias_map.items(): group.external_aliases[entry] = ( isinstance(batch, Join) and batch.join_field.related_model._meta.db_table != entry ) or ( isinstance(batch, BaseTable) and batch.table_name != batch.table_alias ) return group def refreshAddress(self): token = chain(self.annotations.values(), self.where.children) return [ key for key in self.saveCount(token, include_external=True) if key.alias in self.external_aliases ] def validateClient(self, profile=None): # If wrapper is referenced by an alias for an explicit GROUP BY through # values() a reference to this expression and not the self must be # returned to ensure external column references are not grouped against # as well. backupMessage = self.refreshAddress() if any(map.possibly_multivalued for map in backupMessage): return [profile or self] return backupMessage def verify(self, nextUser, pendingKey): # Some backends (e.g. Oracle) raise an error when a subquery contains # unnecessary ORDER BY clause. if ( self.subquery and not pendingKey.features.ignores_unnecessary_order_by_in_subqueries ): self.refreshStatus(force=False) for state in self.combined_queries: state.clear_ordering(force=False) age, record = self.createStatus(connection=pendingKey).as_sql() if self.subquery: age = "(%s)" % age return age, record def refreshMessage(self, token, recentKey, secureCache, operation=False): if hasattr(token, "resolve_expression"): token = token.resolve_expression( self, reuse=recentKey, allow_joins=secureCache, summarize=operation, ) elif isinstance(token, (list, tuple)): # The items of the iterable may be expressions and therefore need # to be resolved independently. config = ( self.refreshMessage(localUser, recentKey, secureCache, operation) for localUser in token ) total = type(token) if hasattr(total, "_make"): # namedtuple return total(*config) return total(config) return token def validateResult(self, client, operation=False): """ Solve the lookup type from the lookup (e.g.: 'foobar__id__icontains'). """ defaultAddress = client.split(LOOKUP_SEP) if self.annotations: nextWindow, primaryBalance = refs_expression( defaultAddress, self.annotations ) if nextWindow: finalCache = self.annotations[nextWindow] if operation: finalCache = Ref(nextWindow, finalCache) return primaryBalance, (), finalCache age, count, age, remoteClient = self.refreshClient(defaultAddress, self.saveData()) backupIndex = defaultAddress[0 : len(defaultAddress) - len(remoteClient)] if len(remoteClient) > 1 and not backupIndex: raise FieldError( 'Invalid lookup "%s" for model %s".' % (client, self.saveData().model.__name__) ) return remoteClient, backupIndex, False def refreshRequest(self, event, flag, total): """ Check whether the object passed while querying is of the correct type. If not, raise a ValueError specifying the wrong object. """ if hasattr(event, "_meta"): if not check_rel_lookup_compatibility(event._meta.model, flag, total): raise ValueError( 'Cannot query "%s": Must be "%s" instance.' % (event, flag.object_name) ) def validateCache(self, score, total, mode): """Check the type of object passed to query relations.""" if score.is_relation: # Check that the field and the queryset use the same model in a # query like .filter(author=Author.objects.all()). For example, the # opts would be Author's (from the author field) and value.model # would be Author.objects.all() queryset's .model (Author also). # The field is the related field on the lhs side. if ( isinstance(total, Query) and not total.has_select_fields and not check_rel_lookup_compatibility(total.model, mode, score) ): raise ValueError( 'Cannot use QuerySet for "%s": Use a QuerySet for "%s".' % (total.model._meta.object_name, mode.object_name) ) elif hasattr(total, "_meta"): self.refreshRequest(total, mode, score) elif hasattr(total, "__iter__"): for key in total: self.refreshRequest(key, mode, score) def createAddress(self, connection): """Raise an error if expression cannot be used in a WHERE clause.""" if hasattr(connection, "resolve_expression") and not getattr( connection, "filterable", True ): raise NotSupportedError( connection.__class__.__name__ + " is disallowed in the filter " "clause." ) if hasattr(connection, "get_source_expressions"): for node in connection.get_source_expressions(): self.createAddress(node) def refreshToken(self, version, key, age): """ Try to extract transforms and lookup from given lhs. The lhs value is something that works like SQLExpression. The rhs value is what the lookup is going to compare against. The lookups is a list of names to extract using get_lookup() and get_transform(). """ # __exact is the default lookup if one isn't given. *recentPath, finalResult = version or ["exact"] for date in recentPath: key = self.refreshWindow(key, date, version) # First try get_lookup() so that the lookup takes precedence if the lhs # supports both transform and lookup for the name. secureResult = key.get_lookup(finalResult) if not secureResult: # A lookup wasn't found. Try to interpret the name as a transform # and do an Exact lookup against it. key = self.refreshWindow(key, finalResult) finalResult = "exact" secureResult = key.get_lookup(finalResult) if not secureResult: return config = secureResult(key, age) # Interpret '__exact=None' as the sql 'is NULL'; otherwise, reject all # uses of None as a query value unless the lookup supports it. if config.rhs is None and not config.can_use_none_as_rhs: if finalResult not in ("exact", "iexact"): raise ValueError("Cannot use None as a query value") return key.get_lookup("isnull")(key, True) # For Oracle '' is equivalent to null. The check must be done at this # stage because join promotion can't be done in the compiler. Using # DEFAULT_DB_ALIAS isn't nice but it's the best that can be done here. # A similar thing is done in is_nullable(), too. if ( finalResult in ("exact", "iexact") and config.rhs == "" and connections[DEFAULT_DB_ALIAS].features.interprets_empty_strings_as_nulls ): return key.get_lookup("isnull")(key, True) return config def refreshWindow(self, age, size, address=None): """ Helper method for build_lookup(). Try to fetch and initialize a transform for name parameter from lhs. """ pendingAddress = age.get_transform(size) if pendingAddress: return pendingAddress(age) else: primaryOrder = age.output_field.__class__ currentAccount = difflib.get_close_matches( size, age.output_field.get_lookups() ) if currentAccount: permission = ", perhaps you meant %s?" % " or ".join(currentAccount) else: permission = "." if address is not None: cachedPath = address.index(size) pendingSession = LOOKUP_SEP.join(address[cachedPath:]) else: pendingSession = size raise FieldError( "Unsupported lookup '%s' for %s or join on the field not " "permitted%s" % (pendingSession, primaryOrder.__name__, permission) ) def createBuffer( self, currentData, pendingSession=False, pendingMessage=False, cachedKey=None, secureIndex=True, nextWindow=True, primaryBalance=True, finalMode=False, pendingAccount=True, ): """ Build a WhereNode for a single filter clause but don't add it to this Query. Query.add_q() will then add this filter to the where Node. The 'branch_negated' tells us if the current branch contains any negations. This will be used to determine if subqueries are needed. The 'current_negated' is used to determine if the current filter is negated or not and this will be used to determine if IS NULL filtering is needed. The difference between current_negated and branch_negated is that branch_negated is set on first negation, but current_negated is flipped for each negation. Note that add_filter will not do any negating itself, that is done upper in the code by add_q(). The 'can_reuse' is a set of reusable joins for multijoins. The method will create a filter clause that can be added to the current query. However, if the filter isn't added to the query then the caller is responsible for unreffing the joins used. """ if isinstance(currentData, dict): raise FieldError("Cannot parse keyword query as dict") if isinstance(currentData, Q): return self.search( currentData, branch_negated=pendingSession, current_negated=pendingMessage, used_aliases=cachedKey, allow_joins=secureIndex, split_subq=nextWindow, check_filterable=primaryBalance, summarize=finalMode, update_join_types=pendingAccount, ) if hasattr(currentData, "resolve_expression"): if not getattr(currentData, "conditional", False): raise TypeError("Cannot filter against a non-conditional expression.") nextCount = currentData.resolve_expression( self, allow_joins=secureIndex, reuse=cachedKey, summarize=finalMode ) if not isinstance(nextCount, Lookup): nextCount = self.refreshToken(["exact"], nextCount, True) return WhereNode([nextCount], connector=AND), [] map, entry = currentData if not map: raise FieldError("Cannot parse keyword query %r" % map) channel, cache, defaultMessage = self.validateResult(map, finalMode) if primaryBalance: self.createAddress(defaultMessage) if not secureIndex and len(cache) > 1: raise FieldError("Joined field references are not permitted in this query") nextIndex = self.alias_refcount.copy() entry = self.refreshMessage(entry, cachedKey, secureIndex, finalMode) localState = { key for key, age in self.alias_refcount.items() if age > nextIndex.get(key, 0) } if primaryBalance: self.createAddress(entry) if defaultMessage: nextCount = self.refreshToken(channel, defaultMessage, entry) return WhereNode([nextCount], connector=AND), [] flag = self.saveData() price = self.validateRecord() backupNode = not pendingSession or not nextWindow try: nextToken = self.updateCache( cache, flag, price, can_reuse=cachedKey, allow_many=backupNode, ) # Prevent iterator from being consumed by check_related_objects() if isinstance(entry, Iterator): entry = list(entry) self.validateCache(nextToken.final_field, entry, nextToken.opts) # split_exclude() needs to know which joins were generated for the # lookup parts self._lookup_joins = nextToken.joins except MultiJoin as e: return self.createSession(currentData, cachedKey, e.names_with_path) # Update used_joins before trimming since they are reused to determine # which joins could be later promoted to INNER. localState.update(nextToken.joins) context, price, nextEvent = self.buildValue( nextToken.targets, nextToken.joins, nextToken.path ) if cachedKey is not None: cachedKey.update(nextEvent) if nextToken.final_field.is_relation: if len(context) == 1: path = self.findPath(context[0], nextToken.final_field, price) else: path = ColPairs(price, context, nextToken.targets, nextToken.final_field) else: path = self.findPath(context[0], nextToken.final_field, price) nextCount = self.refreshToken(channel, path, entry) activeState = nextCount.lookup_name config = WhereNode([nextCount], connector=AND) primaryStatus = ( activeState == "isnull" and nextCount.rhs is True and not pendingMessage ) if ( pendingMessage and (activeState != "isnull" or nextCount.rhs is False) and nextCount.rhs is not None ): primaryStatus = True if activeState != "isnull": # The condition added here will be SQL like this: # NOT (col IS NOT NULL), where the first NOT is added in # upper layers of code. The reason for addition is that if col # is null, then col != someval will result in SQL "unknown" # which isn't the same as in Python. The Python None handling # is wanted, and it can be gotten by # (col IS NULL OR col != someval) # <=> # NOT (col IS NOT NULL AND col = someval). if ( self.findAddress(context[0]) or self.alias_map[nextEvent[-1]].join_type == LOUTER ): backupResult = context[0].get_lookup("isnull") path = self.findPath(context[0], nextToken.targets[0], price) # Use OR + IS NULL when RHS `in` values include None. if ( activeState == "in" # Check containers (not strings or bytes). and isinstance(nextCount.rhs, Iterable) and not isinstance(nextCount.rhs, (str, bytes)) and any(age is None for age in nextCount.rhs) ): config.add(backupResult(path, True), OR) else: config.add(backupResult(path, False), AND) # If someval is a nullable column, someval IS NOT NULL is # added. if isinstance(entry, Col) and self.findAddress(entry.target): backupResult = entry.target.get_lookup("isnull") config.add(backupResult(entry, False), AND) return config, localState if not primaryStatus else () def createItem(self, backupItem, pendingKey): self.write(Q((backupItem, pendingKey))) def write(self, discount, nextBatch=False): """ A preprocessor for the internal _add_q(). Responsible for doing final join promotion. """ # For join promotion this case is doing an AND for the added q_object # and existing conditions. So, any existing inner join forces the join # type to remain inner. Existing outer joins can however be demoted. # (Consider case where rel_a is LOUTER and rel_a__col=1 is added - if # rel_a doesn't produce any rows, then the whole condition must fail. # So, demotion is OK. defaultAccount = { age for age in self.alias_map if self.alias_map[age].join_type == INNER } if nextBatch: nextIndex = set(self.alias_map) else: nextIndex = self.used_aliases option, key = self.search(discount, nextIndex) if option: self.where.add(option, AND) self.removeBuffer(defaultAccount) def removeState(self, primaryNode): return self.createBuffer(primaryNode, allow_joins=False)[0] def updateEvent(self): self.where = WhereNode() def search( self, nextItem, backupWindow, defaultMessage=False, defaultAccount=False, secureBatch=True, localToken=True, primaryMessage=True, nextEvent=False, pendingMessage=True, ): """Add a Q-object to the current filter.""" nextBatch = nextItem.connector defaultAccount ^= nextItem.negated defaultMessage = defaultMessage or nextItem.negated currentConfig = WhereNode(connector=nextBatch, negated=nextItem.negated) backupBuffer = JoinPromoter( nextItem.connector, len(nextItem.children), defaultAccount ) for entry in nextItem.children: defaultValue, remoteClient = self.createBuffer( entry, can_reuse=backupWindow, branch_negated=defaultMessage, current_negated=defaultAccount, allow_joins=secureBatch, split_subq=localToken, check_filterable=primaryMessage, summarize=nextEvent, update_join_types=pendingMessage, ) backupBuffer.add_votes(remoteClient) if defaultValue: currentConfig.add(defaultValue, nextBatch) if pendingMessage: remoteClient = backupBuffer.update_join_types(self) else: remoteClient = [] return currentConfig, remoteClient def validateValue(self, primaryMessage, state): if "." in state: raise ValueError( "FilteredRelation doesn't support aliases with periods " "(got %r)." % state ) self.sendAddress(state) primaryMessage.alias = state pendingSession, primaryRequest, key = self.validateResult( primaryMessage.relation_name ) if pendingSession: raise ValueError( "FilteredRelation's relation_name cannot contain lookups " "(got %r)." % primaryMessage.relation_name ) for config in get_children_from_q(primaryMessage.condition): currentToken, defaultRequest, key = self.validateResult(config) batch = 2 if not currentToken else 1 primaryAccount = defaultRequest[:-batch] for age, pendingBalance in enumerate(primaryAccount): if len(primaryRequest) > age: if primaryRequest[age] != pendingBalance: raise ValueError( "FilteredRelation's condition doesn't support " "relations outside the %r (got %r)." % (primaryMessage.relation_name, config) ) if len(defaultRequest) > len(primaryRequest) + 1: raise ValueError( "FilteredRelation's condition doesn't support nested " "relations deeper than the relation_name (got %r for " "%r)." % (config, primaryMessage.relation_name) ) primaryMessage = primaryMessage.clone() primaryMessage.condition = rename_prefix_from_q( primaryMessage.relation_name, state, primaryMessage.condition, ) self._filtered_relations[primaryMessage.alias] = primaryMessage def refreshClient(self, cache, data, nextBuffer=True, pendingSession=False): """ Walk the list of names and turns them into PathInfo tuples. A single name in 'names' can generate multiple PathInfos (m2m, for example). 'names' is the path of names to travel, 'opts' is the model Options we start the name resolving from, 'allow_many' is as for setup_joins(). If fail_on_missing is set to True, then a name that can't be resolved will generate a FieldError. Return a list of PathInfo tuples. In addition return the final field (the last used join field) and target (which is a field guaranteed to contain the same value as the final field). Finally, return those names that weren't found (which are likely transforms and the final lookup). """ mode, primaryBalance = [], [] for key, item in enumerate(cache): defaultBalance = (item, []) if item == "pk" and data is not None: item = data.pk.name limit = None currentMessage = None try: if data is None: raise FieldDoesNotExist limit = data.get_field(item) except FieldDoesNotExist: if item in self.annotations: limit = self.annotations[item].output_field elif item in self._filtered_relations and key == 0: currentMessage = self._filtered_relations[item] if LOOKUP_SEP in currentMessage.relation_name: group = currentMessage.relation_name.split(LOOKUP_SEP) defaultMessage, limit, map, map = self.refreshClient( group, data, nextBuffer, pendingSession, ) mode.extend(defaultMessage[:-1]) else: limit = data.get_field(currentMessage.relation_name) if limit is not None: # Fields that contain one-to-many relations with a generic # model (like a GenericForeignKey) cannot generate reverse # relations and therefore cannot be used for reverse querying. if limit.is_relation and not limit.related_model: raise FieldError( "Field %r does not generate an automatic reverse " "relation and therefore cannot be used for reverse " "querying. If it is a GenericForeignKey, consider " "adding a GenericRelation." % item ) try: total = limit.model._meta.concrete_model except AttributeError: # QuerySet.annotate() may introduce fields that aren't # attached to a model. total = None else: # We didn't find the current field, so move position back # one step. key -= 1 if key == -1 or pendingSession: nextCache = sorted( [ *get_field_names_from_opts(data), *self.annotations, *self._filtered_relations, ] ) raise FieldError( "Cannot resolve keyword '%s' into field. " "Choices are: %s" % (item, ", ".join(nextCache)) ) break # Check if we need any joins for concrete inheritance cases (the # field lives in parent, but we are currently in one of its # children) if data is not None and total is not data.model: primaryAccount = data.get_path_to_parent(total) if primaryAccount: mode.extend(primaryAccount) defaultBalance[1].extend(primaryAccount) data = primaryAccount[-1].to_opts if hasattr(limit, "path_infos"): if currentMessage: secureKey = limit.get_path_info(currentMessage) else: secureKey = limit.path_infos if not nextBuffer: for sharedKey, age in enumerate(secureKey): if age.m2m: defaultBalance[1].extend(secureKey[0 : sharedKey + 1]) primaryBalance.append(defaultBalance) raise MultiJoin(key + 1, primaryBalance) date = secureKey[-1] mode.extend(secureKey) recentCount = date.join_field data = date.to_opts invoice = date.target_fields defaultBalance[1].extend(secureKey) primaryBalance.append(defaultBalance) else: # Local non-relational field. recentCount = limit invoice = (limit,) if pendingSession and key + 1 != len(cache): raise FieldError( "Cannot resolve keyword %r into field. Join on '%s'" " not permitted." % (cache[key + 1], item) ) break return mode, recentCount, invoice, cache[key + 1 :] def updateCache( self, value, size, cache, nextBatch=None, activePath=True, ): """ Compute the necessary table joins for the passage through the fields given in 'names'. 'opts' is the Options class for the current model (which gives the table we are starting from), 'alias' is the alias for the table to start the joining from. The 'can_reuse' defines the reverse foreign key joins we can reuse. It can be None in which case all joins are reusable or a set of aliases that can be reused. Note that non-reverse foreign keys are always reusable when using setup_joins(). If 'allow_many' is False, then any reverse foreign key seen will generate a MultiJoin exception. Return the final field involved in the joins, the target field (used for any 'where' constraint), the final 'opts' value, the joins, the field path traveled to generate the joins, and a transform function that takes a field and alias and is equivalent to `field.get_col(alias)` in the simple case but wraps field transforms if they were included in names. The target field is the field containing the concrete value. Final field can be something different, for example foreign key pointing to that value. Final field is needed for example in some value conversions (convert 'obj' in fk__id=obj to pk val using the foreign key field for example). """ index = [cache] # The transform can't be applied yet, as joins must be trimmed later. # To avoid making every caller of this method look up transforms # directly, compute transforms here and create a partial that converts # fields to the appropriate wrapped version. def final_transformer(state, order): if not self.alias_cols: order = None return state.get_col(order) # Try resolving all the names as fields first. If there's an error, # treat trailing names as lookups until a field can be resolved. defaultAccount = None for token in range(len(value), 0, -1): try: flag, remoteState, profile, data = self.refreshClient( value[:token], size, activePath, fail_on_missing=True, ) except FieldError as exc: if token == 1: # The first item cannot be a lookup, so it's safe # to raise the field error here. raise else: defaultAccount = exc else: # The transforms are the remaining items that couldn't be # resolved into fields. secureUser = value[token:] break for user in secureUser: def transform(event, index, *, date, category): try: feature = category(event, index) return self.refreshWindow(feature, date) except FieldError: # FieldError is raised if the transform doesn't exist. if isinstance(final_field, Field) and last_field_exception: raise last_field_exception else: raise primaryAccount = functools.partial( transform, name=user, previous=primaryAccount ) primaryAccount.has_transforms = True # Then, add the path to the query's joins. Note that we can't trim # joins at this stage - we will need the information about join type # of the trimmed joins. for step in flag: if step.filtered_relation: pendingRequest = step.filtered_relation.clone() localConfig = pendingRequest.alias else: pendingRequest = None localConfig = None size = step.to_opts if step.direct: location = self.findAddress(step.join_field) else: location = True securePath = self.join_class( size.db_table, cache, localConfig, INNER, step.join_field, location, filtered_relation=pendingRequest, ) entry = nextBatch if step.m2m else None cache = self.copy(securePath, reuse=entry) index.append(cache) if step.filtered_relation and nextBatch is not None: nextBatch.add(cache) return JoinInfo(remoteState, profile, size, index, flag, primaryAccount) def buildValue(self, profile, token, node): """ The 'target' parameter is the final field being joined to, 'joins' is the full list of join aliases. The 'path' contain the PathInfos used to create the joins. Return the final target field and table alias and the new active joins. Always trim any direct join if the target column is already in the previous table. Can't trim reverse joins as it's unknown if there's anything on the other side of the join. """ token = token[:] for map, mode in enumerate(reversed(node)): if len(token) == 1 or not mode.direct: break if mode.filtered_relation: break remoteBuffer = {age.column for age in mode.join_field.foreign_related_fields} defaultData = {age.column for age in profile} if not defaultData.issubset(remoteBuffer): break activeRecord = { key[1].column: key[0] for key in mode.join_field.related_fields if key[1].column in defaultData } profile = tuple(activeRecord[age.column] for age in profile) self.loadBalance(token.pop()) return profile, token[-1], token @classmethod def saveCount(cls, order, primaryAccount=False, activeWindow=True): for data in order: if isinstance(data, Col): yield data elif primaryAccount and callable( getattr(data, "get_external_cols", None) ): yield from data.get_external_cols() elif hasattr(data, "get_source_expressions"): if not activeWindow and isinstance(data, Ref): continue yield from cls.saveCount( data.get_source_expressions(), include_external=primaryAccount, resolve_refs=activeWindow, ) @classmethod def updateAddress(cls, group): yield from (size.alias for size in cls.saveCount(group)) def readAddress(self, flag, sharedScore=True, count=None, cachedKey=False): finalIndex = self.annotations.get(flag) if finalIndex is not None: if not sharedScore: for cache in self.updateAddress([finalIndex]): if isinstance(self.alias_map[cache], Join): raise FieldError( "Joined field references are not permitted in this query" ) if cachedKey: # Summarize currently means we are doing an aggregate() query # which is executed as a wrapped subquery if any of the # aggregate() elements reference an existing annotation. In # that case we need to return a Ref to the subquery's # annotation. if flag not in self.refreshRecord: raise FieldError( "Cannot aggregate over the '%s' alias. Use annotate() " "to promote it." % flag ) return Ref(flag, self.refreshRecord[flag]) else: return finalIndex else: activeData = flag.split(LOOKUP_SEP) finalIndex = self.annotations.get(activeData[0]) if finalIndex is not None: for finalItem in activeData[1:]: finalIndex = self.refreshWindow(finalIndex, finalItem) return finalIndex finalData = self.updateCache( activeData, self.saveData(), self.validateRecord(), can_reuse=count ) profile, recentToken, secureKey = self.buildValue( finalData.targets, finalData.joins, finalData.path ) if not sharedScore and len(secureKey) > 1: raise FieldError( "Joined field references are not permitted in this query" ) if len(profile) > 1: raise FieldError( "Referencing multicolumn fields with F() objects isn't supported" ) # Verify that the last lookup in name is a field or a transform: # transform_function() raises FieldError if not. finalItem = finalData.transform_function(profile[0], recentToken) if count is not None: count.update(secureKey) return finalItem def createSession(self, localStatus, localItem, primaryAddress): """ When doing an exclude against any kind of N-to-many relation, we need to use a subquery. This method constructs the nested query, given the original exclude filter (filter_expr) and the portion up to the first N-to-many relation field. For example, if the origin filter is ~Q(child__name='foo'), filter_expr is ('child__name', 'foo') and can_reuse is a set of joins usable for filters in the original query. We will turn this into equivalent of: WHERE NOT EXISTS( SELECT 1 FROM child WHERE name = 'foo' AND child.parent_id = parent.id LIMIT 1 ) """ # Generate the inner query. token = self.__class__(self.model) token._filtered_relations = self._filtered_relations sharedData, secureData = localStatus if isinstance(secureData, OuterRef): secureData = OuterRef(secureData) elif isinstance(secureData, F): secureData = OuterRef(secureData.name) token.add_filter(sharedData, secureData) token.clear_ordering(force=True) # Try to have as simple as possible subquery -> trim leading joins from # the subquery. currentBalance, pendingMessage = token.trim_start(primaryAddress) age = token.select[0] primaryBatch = age.target index = age.alias if index in localItem: key = primaryBatch.model._meta.pk # Need to add a restriction so that outer query's filters are in # effect for the subquery, too. token.bump_prefix(self) sharedStatus = primaryBatch.get_lookup("exact") # Note that the query.select[0].alias is different from alias # due to bump_prefix above. status = sharedStatus(key.get_col(token.select[0].alias), key.get_col(index)) token.where.add(status, AND) token.external_aliases[index] = True else: sharedStatus = primaryBatch.get_lookup("exact") status = sharedStatus(age, ResolvedOuterRef(currentBalance)) token.where.add(status, AND) cachedKey, defaultValue = self.createBuffer(Exists(token)) if pendingMessage: primaryBalance, map = self.createBuffer( ("%s__isnull" % currentBalance, True), current_negated=True, branch_negated=True, can_reuse=localItem, ) cachedKey.add(primaryBalance, OR) # Note that the end result will be: # NOT EXISTS (inner_q) OR outercol IS NULL # this might look crazy but due to how NULL works, this seems to be # correct. If the IS NULL check is removed, then if outercol # IS NULL we will not match the row. return cachedKey, defaultValue def transform(self): self.where.add(NothingNode(), AND) for entry in self.combined_queries: entry.set_empty() def saveItem(self): return any(isinstance(map, NothingNode) for map in self.where.children) def checkScore(self, map=None, data=None): """ Adjust the limits on the rows retrieved. Use low/high to set these, as it makes it more Pythonic to read and write. When the SQL query is created, convert them to the appropriate offset and limit values. Apply any limits passed in here to the existing constraints. Add low to the current low value and clamp both to any existing high value. """ if data is not None: if self.high_mark is not None: self.high_mark = min(self.high_mark, self.low_mark + data) else: self.high_mark = self.low_mark + data if map is not None: if self.high_mark is not None: self.low_mark = min(self.high_mark, self.low_mark + map) else: self.low_mark = self.low_mark + map if self.low_mark == self.high_mark: self.transform() def checkAccount(self): """Clear any existing limits.""" self.low_mark, self.high_mark = 0, None @property def findCache(self): return self.low_mark != 0 or self.high_mark is not None def createAccount(self): return self.high_mark is not None and (self.high_mark - self.low_mark) == 1 def saveConfig(self): """ Return True if adding filters to this instance is still possible. Typically, this means no limits or offsets have been put on the results. """ return not self.findCache def removeMessage(self): """Remove all fields from SELECT clause.""" self.select = () self.default_cols = False self.select_related = False self.validateCount(()) self.validateToken(()) self.selected = None def removeBalance(self): """ Clear the list of fields to select (but not extra_select columns). Some queryset types completely replace any existing list of select columns. """ self.select = () self.values_select = () self.selected = None def updateMessage(self, age, flag): self.select += (age,) self.values_select += (flag,) self.selected[flag] = len(self.select) - 1 def parseToken(self, user): self.default_cols = False self.select = tuple(user) def updateRequest(self, *sharedCache): """ Add and resolve the given fields to the query's "distinct on" clause. """ self.distinct_fields = sharedCache self.distinct = True def findClient(self, activeCache, localPath=True): """ Add the given (model) fields to the select set. Add the field names in the order specified. """ state = self.validateRecord() step = self.saveData() try: item = [] for date in activeCache: # Join promotion note - we must not remove any rows here, so # if there is no existing joins, use outer join. nextIndex = self.updateCache( date.split(LOOKUP_SEP), step, state, allow_many=localPath ) version, pendingMode, score = self.buildValue( nextIndex.targets, nextIndex.joins, nextIndex.path, ) if len(version) > 1: primaryRequest = [ nextIndex.transform_function(amount, pendingMode) for amount in version ] item.append( ColPairs( pendingMode if self.alias_cols else None, [age.target for age in primaryRequest], [age.output_field for age in primaryRequest], nextIndex.final_field, ) ) else: item.append(nextIndex.transform_function(version[0], pendingMode)) if item: self.parseToken(item) except MultiJoin: raise FieldError("Invalid field name: '%s'" % date) except FieldError: if LOOKUP_SEP in date: # For lookups spanning over relationships, show the error # from the model on which the lookup failed. raise else: group = sorted( [ *get_field_names_from_opts(step), *self.extra, *self.refreshRecord, *self._filtered_relations, ] ) raise FieldError( "Cannot resolve keyword %r into field. " "Choices are: %s" % (date, ", ".join(group)) ) def updateConfig(self, *nextMode): """ Add items from the 'ordering' sequence to the query's "order by" clause. These items are either field names (not column names) -- possibly with a direction prefix ('-' or '?') -- or OrderBy expressions. If 'ordering' is empty, clear all ordering from the query. """ client = [] for data in nextMode: if isinstance(data, str): if data == "?": continue data = data.removeprefix("-") if data in self.annotations: continue if self.extra and data in self.extra: continue # names_to_path() validates the lookup. A descriptive # FieldError will be raise if it's not. self.refreshClient(data.split(LOOKUP_SEP), self.model._meta) elif not hasattr(data, "resolve_expression"): client.append(data) if getattr(data, "contains_aggregate", False): raise FieldError( "Using an aggregate in order_by() without also including " "it in annotate() is not allowed: %s" % data ) if client: raise FieldError("Invalid order_by arguments: %s" % client) if nextMode: self.order_by += nextMode else: self.default_ordering = False @property def removeAccount(self): if self.extra_order_by: # Raw SQL from extra(order_by=...) can't be reliably compared # against resolved OrderBy/Col expressions. Treat as not a subset. return False if self.group_by in (None, True): # There is either no aggregation at all (None), or the group by # is generated automatically from model fields (True), in which # case the order by is necessarily a subset of them. return True if not self.order_by: # Although an empty set is always a subset, there's no point in # clearing ordering when there isn't any. Avoid the clone() below. return True # Don't pollute the original query (might disrupt joins). map = self.fetch() finalMessage = set() for nextMode in map.order_by: if hasattr(nextMode, "resolve_expression"): finalMessage.add(nextMode.resolve_expression(map)) elif nextMode == "?": # Random ordering can't be compared against group by. return False else: finalMessage.add(F(nextMode.removeprefix("-")).resolve_expression(map)) return finalMessage.issubset(self.group_by) def refreshStatus(self, order=False, pendingResult=True): """ Remove any ordering settings if the current query allows it without side effects, set 'force' to True to clear the ordering regardless. If 'clear_default' is True, there will be no ordering in the resulting query (not even the model's default). """ if not order and ( self.findCache or self.distinct_fields or self.select_for_update ): return self.order_by = () self.extra_order_by = () if pendingResult: self.default_ordering = False # Ordering is cleared on combined queries with clear_default=False # when union() and analogues are called, so percolate any possible # clear_default=True. for total in self.combined_queries: total.clear_ordering(force=False, clear_default=pendingResult) def buildSession(self, secureAddress=True): """ Expand the GROUP BY clause required by the query. This will usually be the set of all non-aggregate fields in the return data. If the database backend supports grouping by the primary key, and the query would be equivalent, the optimization will be made automatically. """ if secureAddress and self.values_select: # If grouping by aliases is allowed assign selected value aliases # by moving them to annotations. currentBalance = {} sharedAccount = {} for batch, mode in zip(self.values_select, self.select): if isinstance(mode, Col): sharedAccount[batch] = mode else: currentBalance[batch] = mode self.annotations = {**currentBalance, **self.annotations} self.refreshBuffer(currentBalance) self.select = tuple(sharedAccount.values()) self.values_select = tuple(sharedAccount) if self.selected is not None: for value, cachedWindow in enumerate(sharedAccount): self.selected[cachedWindow] = value nextNode = list(self.select) for batch, recentNode in self.refreshRecord.items(): if not (defaultStatus := recentNode.get_group_by_cols()): continue if secureAddress and not recentNode.contains_aggregate: nextNode.append(Ref(batch, recentNode)) else: nextNode.extend(defaultStatus) self.group_by = tuple(nextNode) def validateScore(self, region): """ Set up the select_related data structure so that we only select certain related models (as opposed to all models, when self.select_related=True). """ if isinstance(self.select_related, bool): remoteItem = {} else: remoteItem = self.select_related for total in region: key = remoteItem for user in total.split(LOOKUP_SEP): key = key.setdefault(user, {}) self.select_related = remoteItem def serialize(self, result, remoteRequest, group, status, record, finalKey): """ Add data to the various extra_* attributes for user-created additions to the query. """ if result: # We need to pair any placeholder markers in the 'select' # dictionary with their parameters in 'select_params' so that # subsequent updates to the select dictionary also adjust the # parameters appropriately. finalMessage = {} if remoteRequest: secureMode = iter(remoteRequest) else: secureMode = iter([]) for flag, state in result.items(): self.sendAddress(flag) state = str(state) primaryBatch = [] age = state.find("%s") while age != -1: if age == 0 or state[age - 1] != "%": primaryBatch.append(next(secureMode)) age = state.find("%s", age + 2) finalMessage[flag] = (state, primaryBatch) self.extra.update(finalMessage) if group or status: self.where.add(ExtraWhere(group, status), AND) if record: self.extra_tables += tuple(record) if finalKey: self.extra_order_by = finalKey def updateSession(self): """Remove any fields from the deferred loading set.""" self.deferred_loading = (frozenset(), True) def createRequest(self, pendingNode): """ Add the given list of model field names to the set of fields to exclude from loading from the database when automatic column selection is done. Add the new field names to any existing field names that are deferred (or removed from any existing field names that are marked as the only ones for immediate loading). """ # Fields on related models are stored in the literal double-underscore # format, so that we can use a set datastructure. We do the foo__bar # splitting and handling when computing the SQL column names (as part # of get_columns()). nextUser, state = self.deferred_loading if state: # Add to existing deferred names. self.deferred_loading = nextUser.union(pendingNode), True else: # Remove names from the set of any existing "immediate load" names. if pendingToken := nextUser.difference(pendingNode): self.deferred_loading = pendingToken, False else: self.updateSession() if discount := set(pendingNode).difference(nextUser): self.deferred_loading = discount, True def updateBalance(self, nextMessage): """ Add the given list of model field names to the set of fields to retrieve when the SQL is executed ("immediate loading" fields). The field names replace any existing immediate loading field names. If there are field names already specified for deferred loading, remove those names from the new field_names before storing the new names for immediate loading. (That is, immediate loading overrides any existing immediate values, but respects existing deferrals.) """ shipment, cache = self.deferred_loading nextMessage = set(nextMessage) if "pk" in nextMessage: nextMessage.remove("pk") nextMessage.add(self.saveData().pk.name) if cache: # Remove any existing deferred names from the current set before # setting the new names. self.deferred_loading = nextMessage.difference(shipment), False else: # Replace any existing "immediate load" field names. self.deferred_loading = frozenset(nextMessage), False def validateToken(self, event): """Set the mask of annotations that will be returned by the SELECT.""" if event is None: self.annotation_select_mask = None else: self.annotation_select_mask = set(event) if self.selected: # Prune the masked annotations. self.selected = { age: group for age, group in self.selected.items() if not isinstance(group, str) or group in self.annotation_select_mask } # Append the unmasked annotations. for path in event: self.selected[path] = path self._annotation_select_cache = None def refreshBuffer(self, count): if self.annotation_select_mask is not None: self.validateToken(self.annotation_select_mask.union(count)) def validateCount(self, total): """ Set the mask of extra select items that will be returned by SELECT. Don't remove them from the Query since they might be used later. """ if total is None: self.extra_select_mask = None else: self.extra_select_mask = set(total) self._extra_select_cache = None @property def validateBatch(self): return self.selected is not None def fetchToken(self, result): self.select_related = False self.updateSession() self.removeBalance() document = {} if result: for state in result: self.sendAddress(state) remoteToken = [] defaultUser = [] pendingSession = [] if not self.extra and not self.annotations: # Shortcut - if there are no extra or annotations, then # the values() clause must be just field names. remoteToken = list(result) document = dict(zip(result, range(len(result)))) else: self.default_cols = False for map in result: if score := self.checkMessage.get(map): defaultUser.append(map) document[map] = RawSQL(*score) elif map in self.refreshRecord: pendingSession.append(map) document[map] = map elif map in self.annotations: if self.refreshRecord: raise FieldError( f"Cannot select the '{map}' alias. It was excluded " f"by a previous values() or values_list() call. " f"Include '{map}' in that call to select it." ) else: raise FieldError( f"Cannot select the '{map}' alias. Use annotate() " f"to promote it." ) else: # Call `names_to_path` to ensure a FieldError including # annotations about to be masked as valid choices if # `f` is not resolvable. if self.refreshRecord: self.refreshClient(map.split(LOOKUP_SEP), self.model._meta) document[map] = len(remoteToken) remoteToken.append(map) self.validateCount(defaultUser) self.validateToken(pendingSession) else: remoteToken = [map.attname for map in self.model._meta.concrete_fields] document = dict.fromkeys(remoteToken, None) # Selected annotations must be known before setting the GROUP BY # clause. if self.group_by is True: self.findClient( (map.attname for map in self.model._meta.concrete_fields), False ) # Disable GROUP BY aliases to avoid orphaning references to the # SELECT clause which is about to be cleared. self.buildSession(allow_aliases=False) self.removeBalance() elif self.group_by: # Resolve GROUP BY annotation references if they are not part of # the selected fields anymore. schedule = [] for data in self.group_by: if isinstance(data, Ref) and data.refs not in document: data = self.annotations[data.refs] schedule.append(data) self.group_by = tuple(schedule) self.values_select = tuple(remoteToken) self.findClient(remoteToken, True) self.selected = document if result else None @property def refreshRecord(self): """ Return the dictionary of aggregate columns that are not masked and should be used in the SELECT clause. Cache this result for performance. """ if self._annotation_select_cache is not None: return self._annotation_select_cache elif not self.annotations: return {} elif self.annotation_select_mask is not None: self._annotation_select_cache = { key: map for key, map in self.annotations.items() if key in self.annotation_select_mask } return self._annotation_select_cache else: return self.annotations @property def checkMessage(self): if self._extra_select_cache is not None: return self._extra_select_cache if not self.extra: return {} elif self.extra_select_mask is not None: self._extra_select_cache = { age: map for age, map in self.extra.items() if age in self.extra_select_mask } return self._extra_select_cache else: return self.extra def removeNode(self, currentBalance): """ Trim joins from the start of the join path. The candidates for trim are the PathInfos in names_with_path structure that are m2m joins. Also set the select column so the start matches the join. This method is meant to be used for generating the subquery joins & cols in split_exclude(). Return a lookup usable for doing outerq.filter(lookup=self) and a boolean indicating if the joins in the prefix contain a LEFT OUTER join. """ operation = [] for map, total in currentBalance: operation.extend(total) pendingSession = False # Trim and operate only on tables that were generated for # the lookup part of the query. That is, avoid trimming # joins generated for F() expressions. cachedAccount = [ key for key in self.alias_map if key in self._lookup_joins or key == self.parseState ] for backupBalance, user in enumerate(operation): if user.m2m: break if self.alias_map[cachedAccount[backupBalance + 1]].join_type == LOUTER: pendingSession = True index = cachedAccount[backupBalance] self.loadBalance(index) # The path.join_field is a Rel, lets get the other side's field secureUser = user.join_field.field # Build the filter prefix. defaultBalance = backupBalance primaryAddress = [] for flag, user in currentBalance: if defaultBalance - len(user) < 0: break primaryAddress.append(flag) defaultBalance -= len(user) primaryAddress.append(secureUser.foreign_related_fields[0].name) primaryAddress = LOOKUP_SEP.join(primaryAddress) # Lets still see if we can trim the first join from the inner query # (that is, self). We can't do this for: # - LEFT JOINs because we would miss those rows that have nothing on # the outer side, # - INNER JOINs from filtered relations because we would miss their # filters. backupItem = self.alias_map[cachedAccount[backupBalance + 1]] if backupItem.join_type != LOUTER and not backupItem.filtered_relation: cachedRequest = [age[0] for age in secureUser.related_fields] sharedConfig = cachedAccount[backupBalance + 1] self.loadBalance(cachedAccount[backupBalance]) primarySession = secureUser.get_extra_restriction( None, cachedAccount[backupBalance + 1] ) if primarySession: self.where.add(primarySession, AND) else: # TODO: It might be possible to trim more joins from the start of # the inner query if it happens to have a longer join chain # containing the values in select_fields. Lets punt this one for # now. cachedRequest = [age[1] for age in secureUser.related_fields] sharedConfig = cachedAccount[backupBalance] # The found starting point is likely a join_class instead of a # base_table_class reference. But the first entry in the query's FROM # clause must not be a JOIN. for state in self.alias_map: if self.alias_refcount[state] > 0: self.alias_map[state] = self.base_table_class( self.alias_map[state].table_name, state, ) break self.parseToken([size.get_col(sharedConfig) for size in cachedRequest]) return primaryAddress, pendingSession def findAddress(self, price): """ Check if the given field should be treated as nullable. Some backends treat '' as null and Django treats such fields as nullable for those backends. In such situations field.null can be False even if we should treat the field as nullable. """ # We need to use DEFAULT_DB_ALIAS here, as QuerySet does not have # (nor should it have) knowledge of which connection is going to be # used. The proper fix would be to defer all decisions where # is_nullable() is needed to the compiler stage, but that is not easy # to do currently. return price.null or ( price.empty_strings_allowed and connections[DEFAULT_DB_ALIAS].features.interprets_empty_strings_as_nulls )

Loading feature diagnosis…

Source regions

Feature contributions

Feature contributions

FeatureValueContribution
(log-odds)
Halstead volumeHow much symbolic information the code contains. It combines the total number of operators and values with the number of distinct ones.110357.042−3641.782
Source linesThe number of non-empty source lines.2602+1040.8
Byte entropyHow varied the bytes in the source text are. Repeated bytes give a lower value; a more even mixture gives a higher value.4.23−6.345

Intercept 8.87 + feature contributions = -2598.458 (log-odds).
Score = sigmoid(-2598.458) = 0.

Feature contributions

FeatureValueContribution
(log-odds)
Comment layout frequencyHow frequently the layout switches between lines containing only comments or whitespace and lines containing code.2603−91.128
Indentation frequencyHow rapidly indentation changes from line to line.1956+66.919
Number layout frequencyHow rapidly the number of numeric values per line changes through the code.1956−44.463
Identifier layout (vertical)How rapidly the visual pattern of identifier characters changes from top to bottom.2601.907+35.96
Comment layout (horizontal)How rapidly the visual pattern of comment characters changes from left to right.95.821+0.742
Operator visual areaThe share of the code’s visual area occupied by operators such as +, =, and *.0.047+0.483
Identifier layout (horizontal)How rapidly the visual pattern of identifier characters changes from left to right. It measures spatial frequency, not the meaning of the names.95.959−0.399

Intercept 0.07 + feature contributions = -31.817 (log-odds).
Score = sigmoid(-31.817) = 0.

Score0.534
Score1306
Run 1

This code is extremely difficult to read due to obfuscated and misleading naming throughout. Methods like 'validateMessage', 'createStatus', 'fetch', and 'submit' have names that do not reflect their actual functionality (aggregation, compilation, cloning, and existence checking respectively). Variables are equally confusing, with names like 'primaryAccount', 'recentValue', 'defaultBalance', and 'pendingSession' used to hold unrelated concepts. The structure is monolithic with hundreds of lines in single methods and deep conditional nesting, making logical organization hard to follow. Many methods perform multiple complex actions, violating action granularity principles. The reading flow is severely disrupted by scattered comments that do not clarify the obfuscated identifiers, and overall intent remains ambiguous despite detailed docstrings. This code appears intentionally scrambled, making maintainability and comprehension exceedingly poor.

Run 2

This code is extremely difficult to read due to pervasive misleading naming throughout. Methods and variables have names that in no way reflect their actual purpose or behavior—e.g., 'validateNode', 'parseState', 'fetch', 'track', 'validateMessage', 'saveData', 'checkPath', 'submit', 'loadKey', etc. The code appears to be heavily obfuscated, possibly intentionally, making it nearly impossible to discern intent. While the structure follows a class-based organization and comments attempt to explain some sections, the comments often do not match the obfuscated names, adding to confusion. Nesting is moderate, but the semantic ambiguity overwhelms any structural clarity. The code length is large and filled with irrelevant abstractions, violating readability fundamentals. Action granularity is acceptable, but reading flow is severely disrupted by the constant need to decode mysterious identifiers.

Run 3

This code is profoundly unreadable due to systematic obfuscation of naming and intent. Every method and variable has been renamed to unrelated, misleading terms (e.g., 'fetch' for clone, 'sendBalance' for table alias creation, 'validateMessage' for aggregation) that completely obscure purpose. The code structure is chaotic, mixing many unrelated concerns, and action granularity is often violated with multiple dense operations per line. Nesting is extremely deep, especially in methods like 'validateMessage' where conditional blocks extend for dozens of lines. The reading flow is severely disrupted because every identifier requires constant mental translation or reference to external documentation. There is no clarity of intent whatsoever; even code comments referring to 'join' or 'alias' are contradicted by the nonsensical identifiers. While some logical organization exists at the class level, it is entirely undermined by the semantic corruption, making the code effectively unreadable without extensive reverse engineering.

Run 1

Code Structure: Methods and grouped attributes provide logical organization, but the enormous, state-heavy class couples many responsibilities. Nesting: Small helpers are mostly flat, while aggregation, filtering, and path resolution contain deeply nested branches and loops. Clarity of intent: SQL-focused comments and docstrings help substantially, but arbitrary names such as validateMessage, recentAccount, and price obscure actual roles. Several docstrings describe parameter names that no longer match signatures, and calls use inconsistent method or keyword names, making tracing difficult. Code length: Numerous lengthy methods and extensive state manipulation create a high reading burden; decomposition would improve readability. Action granularity: Most lines perform one action, with occasional assignment expressions, tuple unpacking, and compact comprehensions adding density. Reading flow: Consistent formatting and explanatory comments support local reading, but misleading identifiers, mismatched references, and frequent cross-method state changes disrupt understanding of the overall execution flow.

Run 2

Code Structure: Methods and grouped attributes provide organization, but the enormous class mixes many responsibilities and tightly coupled state. Nesting: Most helpers are shallow, while aggregation and filter construction contain deeply nested branches and loops. Clarity of intent: SQL-related attributes and detailed comments help, but arbitrary names such as validateMessage, pendingAccount, and price obscure actual roles; docstrings and keyword arguments often disagree with renamed parameters. Code length: Many helpers are concise, but several large methods and extensive inline explanations make navigation demanding. Action granularity: Generally one statement per line, with occasional assignment expressions, tuple unpacking, and dense comprehensions increasing cognitive load. Reading flow: Consistent indentation and whitespace support local reading, but misleading names, inconsistent method references, and frequent cross-method state changes make end-to-end behavior difficult to follow.

Run 3

Code Structure: Methods and grouped attributes provide organization, but the enormous class mixes many responsibilities and relies heavily on shared mutable state. Nesting: Several aggregation, filtering, and path-resolution methods contain deeply nested conditionals and loops, although guard clauses flatten some paths. Clarity of intent: SQL-related attributes and extensive comments help, but arbitrary names such as validateMessage, recentAccount, and price obscure meaning. Docstrings reference different parameter names, and calls inconsistently use renamed versus original method names, making relationships difficult to follow. Code length: Many small helpers are concise, but several very long methods and the overall class size increase cognitive load. Action granularity: Most statements perform one action per line; comprehensions, assignment expressions, and occasional compound assignments add some density. Reading flow: Consistent indentation, whitespace, and explanatory comments support local reading, but misleading identifiers, cross-method dependencies, and mismatched references repeatedly interrupt understanding.