# cython: infer_types=True # cython: profile=True # coding: utf8 from collections import OrderedDict from cpython.exc cimport PyErr_CheckSignals from spacy import util from spacy.errors import Errors, Warnings, user_warning from cymem.cymem cimport Pool from preshed.maps cimport PreshMap from cpython.mem cimport PyMem_Malloc from cpython.exc cimport PyErr_SetFromErrno from libc.stdio cimport FILE, fopen, fclose, fread, fwrite, feof, fseek from libc.stdint cimport int32_t, int64_t from libc.stdlib cimport qsort from .typedefs cimport hash_t from os import path from libcpp.vector cimport vector cdef class Candidate: def __init__(self, KnowledgeBase kb, entity_hash, entity_freq, entity_vector, alias_hash, prior_prob): self.kb = kb self.entity_hash = entity_hash self.entity_freq = entity_freq self.entity_vector = entity_vector self.alias_hash = alias_hash self.prior_prob = prior_prob @property def entity(self): """RETURNS (uint64): hash of the entity's KB ID/name""" return self.entity_hash @property def entity_(self): """RETURNS (unicode): ID/name of this entity in the KB""" return self.kb.vocab.strings[self.entity_hash] @property def alias(self): """RETURNS (uint64): hash of the alias""" return self.alias_hash @property def alias_(self): """RETURNS (unicode): ID of the original alias""" return self.kb.vocab.strings[self.alias_hash] @property def entity_freq(self): return self.entity_freq @property def entity_vector(self): return self.entity_vector @property def prior_prob(self): return self.prior_prob cdef class KnowledgeBase: def __init__(self, Vocab vocab, entity_vector_length): self.vocab = vocab self.mem = Pool() self.entity_vector_length = entity_vector_length self._entry_index = PreshMap() self._alias_index = PreshMap() # Should we initialize self._entries and self._aliases_table to specific starting size ? self.vocab.strings.add("") self._create_empty_vectors(dummy_hash=self.vocab.strings[""]) @property def entity_vector_length(self): """RETURNS (uint64): length of the entity vectors""" return self.entity_vector_length def __len__(self): return self.get_size_entities() def get_size_entities(self): return len(self._entry_index) def get_entity_strings(self): return [self.vocab.strings[x] for x in self._entry_index] def get_size_aliases(self): return len(self._alias_index) def get_alias_strings(self): return [self.vocab.strings[x] for x in self._alias_index] def add_entity(self, unicode entity, float prob, vector[float] entity_vector): """ Add an entity to the KB, optionally specifying its log probability based on corpus frequency Return the hash of the entity ID/name at the end. """ cdef hash_t entity_hash = self.vocab.strings.add(entity) # Return if this entity was added before if entity_hash in self._entry_index: user_warning(Warnings.W018.format(entity=entity)) return if len(entity_vector) != self.entity_vector_length: # TODO: proper error raise ValueError("Entity vector length should have been", self.entity_vector_length) vector_index = self.c_add_vector(entity_vector=entity_vector) new_index = self.c_add_entity(entity_hash=entity_hash, prob=prob, vector_index=vector_index, feats_row=-1) # Features table currently not implemented self._entry_index[entity_hash] = new_index return entity_hash cpdef set_entities(self, entity_list, prob_list, vector_list): if len(entity_list) != len(prob_list): # TODO: proper error raise ValueError("Entity list and prob list should have the same length") if len(entity_list) != len(vector_list): # TODO: proper error raise ValueError("Entity list and vector list should have the same length") nr_entities = len(entity_list) self._entry_index = PreshMap(nr_entities+1) self._entries = entry_vec(nr_entities+1) i = 0 cdef EntryC entry while i < nr_entities: entity_vector = vector_list[i] if len(entity_vector) != self.entity_vector_length: # TODO: proper error raise ValueError("Entity vector is", len(entity_vector), "length but should have been", self.entity_vector_length) entity_hash = self.vocab.strings.add(entity_list[i]) entry.entity_hash = entity_hash entry.prob = prob_list[i] vector_index = self.c_add_vector(entity_vector=vector_list[i]) entry.vector_index = vector_index entry.feats_row = -1 # Features table currently not implemented self._entries[i+1] = entry self._entry_index[entity_hash] = i+1 i += 1 # TODO: this method is untested cpdef set_aliases(self, alias_list, entities_list, probabilities_list): nr_aliases = len(alias_list) self._alias_index = PreshMap(nr_aliases+1) self._aliases_table = alias_vec(nr_aliases+1) i = 0 cdef AliasC alias cdef int32_t dummy_value = 342 while i <= nr_aliases: alias_hash = self.vocab.strings.add(alias_list[i]) entities = entities_list[i] probabilities = probabilities_list[i] nr_candidates = len(entities) entry_indices = vector[int64_t](nr_candidates) probs = vector[float](nr_candidates) for j in range(0, nr_candidates): entity = entities[j] entity_hash = self.vocab.strings[entity] if not entity_hash in self._entry_index: raise ValueError(Errors.E134.format(alias=alias, entity=entity)) entry_index = self._entry_index.get(entity_hash) entry_indices[j] = entry_index alias.entry_indices = entry_indices alias.probs = probs self._aliases_table[i] = alias self._alias_index[alias_hash] = i i += 1 def add_alias(self, unicode alias, entities, probabilities): """ For a given alias, add its potential entities and prior probabilies to the KB. Return the alias_hash at the end """ # Throw an error if the length of entities and probabilities are not the same if not len(entities) == len(probabilities): raise ValueError(Errors.E132.format(alias=alias, entities_length=len(entities), probabilities_length=len(probabilities))) # Throw an error if the probabilities sum up to more than 1 (allow for some rounding errors) prob_sum = sum(probabilities) if prob_sum > 1.00001: raise ValueError(Errors.E133.format(alias=alias, sum=prob_sum)) cdef hash_t alias_hash = self.vocab.strings.add(alias) # Check whether this alias was added before if alias_hash in self._alias_index: user_warning(Warnings.W017.format(alias=alias)) return cdef vector[int64_t] entry_indices cdef vector[float] probs for entity, prob in zip(entities, probabilities): entity_hash = self.vocab.strings[entity] if not entity_hash in self._entry_index: raise ValueError(Errors.E134.format(alias=alias, entity=entity)) entry_index = self._entry_index.get(entity_hash) entry_indices.push_back(int(entry_index)) probs.push_back(float(prob)) new_index = self.c_add_aliases(alias_hash=alias_hash, entry_indices=entry_indices, probs=probs) self._alias_index[alias_hash] = new_index return alias_hash def get_candidates(self, unicode alias): cdef hash_t alias_hash = self.vocab.strings[alias] alias_index = self._alias_index.get(alias_hash) alias_entry = self._aliases_table[alias_index] return [Candidate(kb=self, entity_hash=self._entries[entry_index].entity_hash, entity_freq=self._entries[entry_index].prob, entity_vector=self._vectors_table[self._entries[entry_index].vector_index], alias_hash=alias_hash, prior_prob=prob) for (entry_index, prob) in zip(alias_entry.entry_indices, alias_entry.probs) if entry_index != 0] def dump(self, loc): cdef Writer writer = Writer(loc) writer.write_header(self.get_size_entities(), self.entity_vector_length) # dumping the entity vectors in their original order i = 0 for entity_vector in self._vectors_table: for element in entity_vector: writer.write_vector_element(element) i = i+1 # dumping the entry records in the order in which they are in the _entries vector. # index 0 is a dummy object not stored in the _entry_index and can be ignored. i = 1 for entry_hash, entry_index in sorted(self._entry_index.items(), key=lambda x: x[1]): entry = self._entries[entry_index] assert entry.entity_hash == entry_hash assert entry_index == i writer.write_entry(entry.entity_hash, entry.prob, entry.vector_index) i = i+1 writer.write_alias_length(self.get_size_aliases()) # dumping the aliases in the order in which they are in the _alias_index vector. # index 0 is a dummy object not stored in the _aliases_table and can be ignored. i = 1 for alias_hash, alias_index in sorted(self._alias_index.items(), key=lambda x: x[1]): alias = self._aliases_table[alias_index] assert alias_index == i candidate_length = len(alias.entry_indices) writer.write_alias_header(alias_hash, candidate_length) for j in range(0, candidate_length): writer.write_alias(alias.entry_indices[j], alias.probs[j]) i = i+1 writer.close() cpdef load_bulk(self, loc): cdef hash_t entity_hash cdef hash_t alias_hash cdef int64_t entry_index cdef float prob cdef int32_t vector_index cdef EntryC entry cdef AliasC alias cdef float vector_element cdef Reader reader = Reader(loc) # STEP 0: load header and initialize KB cdef int64_t nr_entities cdef int64_t entity_vector_length reader.read_header(&nr_entities, &entity_vector_length) self.entity_vector_length = entity_vector_length self._entry_index = PreshMap(nr_entities+1) self._entries = entry_vec(nr_entities+1) self._vectors_table = float_matrix(nr_entities+1) # STEP 1: load entity vectors cdef int i = 0 cdef int j = 0 while i < nr_entities: entity_vector = float_vec(entity_vector_length) j = 0 while j < entity_vector_length: reader.read_vector_element(&vector_element) entity_vector[j] = vector_element j = j+1 self._vectors_table[i] = entity_vector i = i+1 # STEP 2: load entities # we assume that the entity data was written in sequence # index 0 is a dummy object not stored in the _entry_index and can be ignored. i = 1 while i <= nr_entities: reader.read_entry(&entity_hash, &prob, &vector_index) entry.entity_hash = entity_hash entry.prob = prob entry.vector_index = vector_index entry.feats_row = -1 # Features table currently not implemented self._entries[i] = entry self._entry_index[entity_hash] = i i += 1 # check that all entities were read in properly assert nr_entities == self.get_size_entities() # STEP 3: load aliases cdef int64_t nr_aliases reader.read_alias_length(&nr_aliases) self._alias_index = PreshMap(nr_aliases+1) self._aliases_table = alias_vec(nr_aliases+1) cdef int64_t nr_candidates cdef vector[int64_t] entry_indices cdef vector[float] probs i = 1 # we assume the alias data was written in sequence # index 0 is a dummy object not stored in the _entry_index and can be ignored. while i <= nr_aliases: reader.read_alias_header(&alias_hash, &nr_candidates) entry_indices = vector[int64_t](nr_candidates) probs = vector[float](nr_candidates) for j in range(0, nr_candidates): reader.read_alias(&entry_index, &prob) entry_indices[j] = entry_index probs[j] = prob alias.entry_indices = entry_indices alias.probs = probs self._aliases_table[i] = alias self._alias_index[alias_hash] = i i += 1 # check that all aliases were read in properly assert nr_aliases == self.get_size_aliases() cdef class Writer: def __init__(self, object loc): if path.exists(loc): assert not path.isdir(loc), "%s is directory." % loc cdef bytes bytes_loc = loc.encode('utf8') if type(loc) == unicode else loc self._fp = fopen(bytes_loc, 'wb') assert self._fp != NULL fseek(self._fp, 0, 0) def close(self): cdef size_t status = fclose(self._fp) assert status == 0 cdef int write_header(self, int64_t nr_entries, int64_t entity_vector_length) except -1: self._write(&nr_entries, sizeof(nr_entries)) self._write(&entity_vector_length, sizeof(entity_vector_length)) cdef int write_vector_element(self, float element) except -1: self._write(&element, sizeof(element)) cdef int write_entry(self, hash_t entry_hash, float entry_prob, int32_t vector_index) except -1: self._write(&entry_hash, sizeof(entry_hash)) self._write(&entry_prob, sizeof(entry_prob)) self._write(&vector_index, sizeof(vector_index)) # Features table currently not implemented and not written to file cdef int write_alias_length(self, int64_t alias_length) except -1: self._write(&alias_length, sizeof(alias_length)) cdef int write_alias_header(self, hash_t alias_hash, int64_t candidate_length) except -1: self._write(&alias_hash, sizeof(alias_hash)) self._write(&candidate_length, sizeof(candidate_length)) cdef int write_alias(self, int64_t entry_index, float prob) except -1: self._write(&entry_index, sizeof(entry_index)) self._write(&prob, sizeof(prob)) cdef int _write(self, void* value, size_t size) except -1: status = fwrite(value, size, 1, self._fp) assert status == 1, status cdef class Reader: def __init__(self, object loc): assert path.exists(loc) assert not path.isdir(loc) cdef bytes bytes_loc = loc.encode('utf8') if type(loc) == unicode else loc self._fp = fopen(bytes_loc, 'rb') if not self._fp: PyErr_SetFromErrno(IOError) status = fseek(self._fp, 0, 0) # this can be 0 if there is no header def __dealloc__(self): fclose(self._fp) cdef int read_header(self, int64_t* nr_entries, int64_t* entity_vector_length) except -1: status = self._read(nr_entries, sizeof(int64_t)) if status < 1: if feof(self._fp): return 0 # end of file raise IOError("error reading header from input file") status = self._read(entity_vector_length, sizeof(int64_t)) if status < 1: if feof(self._fp): return 0 # end of file raise IOError("error reading header from input file") cdef int read_vector_element(self, float* element) except -1: status = self._read(element, sizeof(float)) if status < 1: if feof(self._fp): return 0 # end of file raise IOError("error reading entity vector from input file") cdef int read_entry(self, hash_t* entity_hash, float* prob, int32_t* vector_index) except -1: status = self._read(entity_hash, sizeof(hash_t)) if status < 1: if feof(self._fp): return 0 # end of file raise IOError("error reading entity hash from input file") status = self._read(prob, sizeof(float)) if status < 1: if feof(self._fp): return 0 # end of file raise IOError("error reading entity prob from input file") status = self._read(vector_index, sizeof(int32_t)) if status < 1: if feof(self._fp): return 0 # end of file raise IOError("error reading entity vector from input file") if feof(self._fp): return 0 else: return 1 cdef int read_alias_length(self, int64_t* alias_length) except -1: status = self._read(alias_length, sizeof(int64_t)) if status < 1: if feof(self._fp): return 0 # end of file raise IOError("error reading alias length from input file") cdef int read_alias_header(self, hash_t* alias_hash, int64_t* candidate_length) except -1: status = self._read(alias_hash, sizeof(hash_t)) if status < 1: if feof(self._fp): return 0 # end of file raise IOError("error reading alias hash from input file") status = self._read(candidate_length, sizeof(int64_t)) if status < 1: if feof(self._fp): return 0 # end of file raise IOError("error reading candidate length from input file") cdef int read_alias(self, int64_t* entry_index, float* prob) except -1: status = self._read(entry_index, sizeof(int64_t)) if status < 1: if feof(self._fp): return 0 # end of file raise IOError("error reading entry index for alias from input file") status = self._read(prob, sizeof(float)) if status < 1: if feof(self._fp): return 0 # end of file raise IOError("error reading prob for entity/alias from input file") cdef int _read(self, void* value, size_t size) except -1: status = fread(value, size, 1, self._fp) return status