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Indexer.py
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Indexer.py
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import json
import pickle
import os
import logging
from collections import Counter
from collections import defaultdict
from app.indexer.Flattener import Flattener
from app.indexer.Tokenizer import Tokenizer
from app.helpers.utils.Compressor import Compressor
from app.helpers.utils.General import loadDocStoreAndInvertedIndex
from app.helpers.utils.Debounce import Debounce
from concurrent.futures import ProcessPoolExecutor
log = logging.getLogger(__name__)
class Indexer:
def __init__(self, config, index):
self.index = index
self.index_doc_type = set()
self.del_docs = []
self.config = config
self.flattener = Flattener(config["indices"][index]["mappings"])
self.mapping = self.flattener.getFlattenedMapping()
self.tokenizer = Tokenizer(config, self.flattener.getFlattenedMapping())
self.compressor = Compressor()
self.dir_path = os.path.join(self.config["indices_path"], self.index)
self.number_of_shards = config["indices"][index]["settings"]["index"]["number_of_shards"]
self.document_store, self.tfTable = loadDocStoreAndInvertedIndex(index, self.number_of_shards, config, self.mapping)
self.set_new_doc_ids()
self.set_index_doc_types()
def set_new_doc_ids(self):
self.new_doc_ids = defaultdict(int)
for t in self.document_store:
for i in range(self.number_of_shards):
try:
if self.new_doc_ids[t] < self.document_store[t][i]['new_doc_id']:
self.new_doc_ids[t] = self.document_store[t][i]['new_doc_id']
except:
pass
def set_index_doc_types(self):
for i in self.document_store:
self.index_doc_type.add(i)
def update(self, doc_type, doc_id, doc):
str_doc_id = str(doc_id)
try:
old_doc = self.document_store[doc_type][self.generate_shard_number(doc_id)][str_doc_id]
flattened = self.flattener.flatten(doc_type, old_doc)
inverted_index = self.tokenizer.tokenizeFlattened(doc_type, flattened)
self.degenerate_inverted_index(str_doc_id, doc_type, inverted_index)
self.degenerate_doc_store(str_doc_id, doc_type)
isUpdate = True
except:
old_doc = dict()
isUpdate = False
new_doc = old_doc.copy()
new_doc.update(doc)
new_doc['doc_id'] = str_doc_id
new_doc['is_deleted'] = False
return_doc = self.add(doc_type, new_doc, isUpdate, False)
if isUpdate:
log.info(doc['doc_id'] + ' updated')
return_doc['created'] = False
return_doc['result'] = 'updated'
return return_doc
def delete(self, doc_type, doc_id):
str_doc_id = str(doc_id)
if doc_type not in self.index_doc_type:
log.info('Invalid doc_type')
return False
shard_ds = self.document_store[doc_type][self.generate_shard_number(doc_id)]
try:
if shard_ds[str_doc_id]['is_deleted'] is False:
shard_ds[str_doc_id]['is_deleted'] = True
self.del_docs.append([doc_type, str_doc_id])
log.info(str_doc_id + ' deleted')
else:
log.info('Document already marked for deletion')
return False
except:
log.info('Invalid doc_id')
return False
self.future_flush()
return True
def future_flush(self):
with ProcessPoolExecutor() as executor:
executor.submit(self.flush_to_file())
def add(self, doc_type, doc, isUpdate=False, gen_new_doc_id=True):
return_doc = dict()
return_doc['_index'] = self.index
return_doc['_type'] = doc_type
if doc_type not in self.index_doc_type:
self.document_store[doc_type] = [dict() for x in range(self.number_of_shards)]
self.tfTable[doc_type] = [dict() for x in range(self.number_of_shards)]
self.index_doc_type.add(doc_type)
if gen_new_doc_id is True:
self.new_doc_ids[doc_type] += 1
doc['doc_id'] = str(self.new_doc_ids[doc_type])
doc['is_deleted'] = False
return_doc['_id'] = doc['doc_id']
flattened = self.flattener.flatten(doc_type, doc)
inverted_index = self.tokenizer.tokenizeFlattened(doc_type, flattened)
self.generate(doc['doc_id'], doc_type, doc, inverted_index)
if isUpdate is False:
log.info(doc['doc_id'] + ' created')
return_doc['result'] = 'created'
return_doc['created'] = True
self.future_flush()
return return_doc
def generate(self,doc_id, doc_type, doc, ii):
self.generate_inverted_index(doc_id, doc_type, ii)
self.generate_doc_store(doc_id, doc_type, doc)
def generate_shard_number(self, doc_id):
if type(doc_id) != int:
doc_id = int(doc_id)
return doc_id % self.number_of_shards
def generate_inverted_index(self, doc_id, doc_type, ii):
for field in self.mapping[doc_type]:
if self.mapping[doc_type][field].get('index', True):
type_field = ii.get(field, [])
if all(isinstance(elem, list) for elem in type_field):
type_field = [item for sublist in type_field for item in sublist]
dictionary = Counter(type_field)
shard_tf = self.tfTable[doc_type][self.generate_shard_number(doc_id)]
shard_tf[field] = shard_tf.get(field, dict())
for key in dictionary:
shard_tf[field][key] = shard_tf[field].get(key, [0, dict()])
shard_tf[field][key][0] += 1
shard_tf[field][key][1][doc_id] = dictionary[key]
def generate_doc_store(self, doc_id, doc_type, doc):
ds_type = self.document_store[doc_type][self.generate_shard_number(doc_id)]
try:
ds_type['num_docs'] += 1
except:
ds_type['num_docs'] = 1
ds_type['new_doc_id'] = int(doc_id)
ds_type[doc_id] = doc
def get_doc(self, doc_type, doc_id):
doc = self.document_store[doc_type][self.generate_shard_number(doc_id)].get(doc_id, dict())
return_doc = dict()
return_doc['_index'] = self.index
return_doc['_type'] = doc_type
return_doc['_source'] = dict()
try:
if doc['is_deleted'] is False:
return_doc['_source'] = doc
return_doc['_id'] = doc_id
return return_doc
else:
return return_doc
except:
return return_doc
def degenerate(self):
for doc_type, doc_id in self.del_docs:
doc = self.document_store[doc_type][self.generate_shard_number(doc_id)][doc_id]
flattened = self.flattener.flatten(doc_type, doc)
inverted_index = self.tokenizer.tokenizeFlattened(doc_type, flattened)
self.degenerate_inverted_index(doc_id, doc_type, inverted_index)
self.degenerate_doc_store(doc_id, doc_type)
self.del_docs = []
def degenerate_inverted_index(self, doc_id, doc_type, ii):
for field in self.mapping[doc_type]:
if self.mapping[doc_type][field].get('index',True):
type_field = ii.get(field, [])
if all(isinstance(elem, list) for elem in type_field):
type_field = [item for sublist in type_field for item in sublist]
dictionary = Counter(type_field)
field_tf = self.tfTable[doc_type][self.generate_shard_number(doc_id)][field]
for key in dictionary:
del field_tf[key][1][doc_id]
field_tf[key][0] -= 1
if (field_tf[key][0] == 0):
del field_tf[key]
if not field_tf:
del field_tf
def degenerate_doc_store(self, doc_id, doc_type):
shard_ds = self.document_store[doc_type][self.generate_shard_number(doc_id)]
try:
del shard_ds[doc_id]
shard_ds['num_docs'] -= 1
if shard_ds['num_docs'] == 0:
del shard_ds['num_docs']
except:
pass
def get_doc_store_ii(self):
return self.document_store, self.tfTable
@Debounce(seconds=10)
def flush_to_file(self):
self.degenerate()
for i in self.tfTable:
for j in range(self.number_of_shards):
file_name = self.index + "_" + i + "_" + str(j) + ".tf"
file_name = os.path.join(self.dir_path, file_name)
log.info(file_name)
# print(self.tfTable[i][j])
with open(file_name, 'wb') as f:
f.write(self.compressor.compress(json.dumps(self.tfTable[i][j]).encode()))
for i in self.document_store:
for j in range(self.number_of_shards):
file_name = self.index + "_" + i + "_" + str(j) + ".ds"
file_name = os.path.join(self.dir_path, file_name)
log.info(file_name)
# print(self.document_store[i][j])
with open(file_name, 'wb') as f:
f.write(self.compressor.compress(json.dumps(self.document_store[i][j]).encode()))