From a2b872008f58daea836cfc4ce8a5cfc1bbf2c282 Mon Sep 17 00:00:00 2001 From: Daoud Clarke Date: Thu, 16 Nov 2023 17:42:18 +0000 Subject: [PATCH 1/2] Add a script to evaluate how much it costs to add the term to the index Old sizes mean 33.3673 0.08148019988498635 New sizes mean 32.1322 0.07700185221489449 --- analyse/add_term_info.py | 60 +++++++++++++++++++++++++++++++ mwmbl/indexer/index.py | 4 +-- mwmbl/indexer/index_batches.py | 2 +- mwmbl/tinysearchengine/indexer.py | 3 ++ 4 files changed, 66 insertions(+), 3 deletions(-) create mode 100644 analyse/add_term_info.py diff --git a/analyse/add_term_info.py b/analyse/add_term_info.py new file mode 100644 index 0000000..22864ab --- /dev/null +++ b/analyse/add_term_info.py @@ -0,0 +1,60 @@ +""" +Investigate adding term information to the database. + +How much extra space will it take? +""" +import os +from pathlib import Path +from random import Random + +import numpy as np +from scipy.stats import sem + +from mwmbl.indexer.index import tokenize_document +from mwmbl.tinysearchengine.indexer import TinyIndex, Document, _trim_items_to_page, astuple + +from zstandard import ZstdCompressor + +random = Random(1) + +INDEX_PATH = Path(os.environ["HOME"]) / "Downloads" / "index-v2.tinysearch" +# INDEX_PATH = Path(__file__).parent.parent / "devdata" / "index-v2.tinysearch" + + +def add_term_info(document: Document, index: TinyIndex, page_index: int): + tokenized = tokenize_document(document.url, document.title, document.extract, document.score) + for token in tokenized.tokens: + token_page_index = index.get_key_page_index(token) + if token_page_index == page_index: + return Document(document.title, document.url, document.extract, document.score, token) + raise ValueError("Could not find token in page index") + + +def run(): + compressor = ZstdCompressor() + with TinyIndex(Document, INDEX_PATH) as index: + # Get some random integers between 0 and index.num_pages: + pages = random.sample(range(index.num_pages), 10000) + + old_sizes = [] + new_sizes = [] + + for i in pages: + page = index.get_page(i) + term_documents = [] + for document in page: + term_document = add_term_info(document, index, i) + term_documents.append(term_document) + + value_tuples = [astuple(value) for value in term_documents] + num_fitting, compressed = _trim_items_to_page(compressor, index.page_size, value_tuples) + + new_sizes.append(num_fitting) + old_sizes.append(len(page)) + + print("Old sizes mean", np.mean(old_sizes), sem(old_sizes)) + print("New sizes mean", np.mean(new_sizes), sem(new_sizes)) + + +if __name__ == '__main__': + run() diff --git a/mwmbl/indexer/index.py b/mwmbl/indexer/index.py index fb61405..ce94c5c 100644 --- a/mwmbl/indexer/index.py +++ b/mwmbl/indexer/index.py @@ -49,7 +49,7 @@ def prepare_url_for_tokenizing(url: str): def get_pages(nlp, titles_urls_and_extracts, link_counts) -> Iterable[TokenizedDocument]: for i, (title_cleaned, url, extract) in enumerate(titles_urls_and_extracts): score = link_counts.get(url, DEFAULT_SCORE) - yield tokenize_document(url, title_cleaned, extract, score, nlp) + yield tokenize_document(url, title_cleaned, extract, score) if i % 1000 == 0: print("Processed", i) @@ -61,7 +61,7 @@ def get_index_tokens(tokens): return set(first_tokens + bigrams) -def tokenize_document(url, title_cleaned, extract, score, nlp): +def tokenize_document(url, title_cleaned, extract, score): title_tokens = tokenize(title_cleaned) prepared_url = prepare_url_for_tokenizing(unquote(url)) url_tokens = tokenize(prepared_url) diff --git a/mwmbl/indexer/index_batches.py b/mwmbl/indexer/index_batches.py index a6e0488..926ed6e 100644 --- a/mwmbl/indexer/index_batches.py +++ b/mwmbl/indexer/index_batches.py @@ -71,7 +71,7 @@ def preprocess_documents(documents, index_path, nlp): page_documents = defaultdict(list) with TinyIndex(Document, index_path, 'w') as indexer: for document in documents: - tokenized = tokenize_document(document.url, document.title, document.extract, document.score, nlp) + tokenized = tokenize_document(document.url, document.title, document.extract, document.score) # logger.debug(f"Tokenized: {tokenized}") page_indexes = [indexer.get_key_page_index(token) for token in tokenized.tokens] for page in page_indexes: diff --git a/mwmbl/tinysearchengine/indexer.py b/mwmbl/tinysearchengine/indexer.py index ffe508b..c8edba3 100644 --- a/mwmbl/tinysearchengine/indexer.py +++ b/mwmbl/tinysearchengine/indexer.py @@ -79,6 +79,7 @@ class TinyIndexMetadata: values = json.loads(data[constant_length:].decode('utf8')) return TinyIndexMetadata(**values) + # Find the optimal amount of data that fits onto a page # We do this by leveraging binary search to quickly find the index where: # - index+1 cannot fit onto a page @@ -106,10 +107,12 @@ def _binary_search_fitting_size(compressor: ZstdCompressor, page_size: int, item # No better match, use our index return mid, compressed_data + def _trim_items_to_page(compressor: ZstdCompressor, page_size: int, items:list[T]): # Find max number of items that fit on a page return _binary_search_fitting_size(compressor, page_size, items, 0, len(items)) + def _get_page_data(compressor: ZstdCompressor, page_size: int, items: list[T]): num_fitting, serialised_data = _trim_items_to_page(compressor, page_size, items) From 204304e18eead2be064b244f9c990d3bf3a3b55f Mon Sep 17 00:00:00 2001 From: Daoud Clarke Date: Sat, 18 Nov 2023 18:49:41 +0000 Subject: [PATCH 2/2] Add term info to index --- analyse/add_term_info.py | 15 ++------ analyse/index_local.py | 57 ---------------------------- analyse/inspect_index.py | 60 ------------------------------ devdata/index-v2.tinysearch | Bin 10489856 -> 10489856 bytes mwmbl/apps.py | 10 +++++ mwmbl/background.py | 6 ++- mwmbl/indexer/index_batches.py | 26 +++++++------ mwmbl/indexer/update_urls.py | 2 +- mwmbl/platform/curate.py | 21 ++++++++--- mwmbl/tinysearchengine/indexer.py | 1 - mwmbl/utils.py | 23 ++++++++++++ 11 files changed, 71 insertions(+), 150 deletions(-) delete mode 100644 analyse/index_local.py delete mode 100644 analyse/inspect_index.py diff --git a/analyse/add_term_info.py b/analyse/add_term_info.py index 22864ab..9cf9795 100644 --- a/analyse/add_term_info.py +++ b/analyse/add_term_info.py @@ -10,24 +10,15 @@ from random import Random import numpy as np from scipy.stats import sem -from mwmbl.indexer.index import tokenize_document from mwmbl.tinysearchengine.indexer import TinyIndex, Document, _trim_items_to_page, astuple from zstandard import ZstdCompressor +from mwmbl.utils import add_term_info + random = Random(1) -INDEX_PATH = Path(os.environ["HOME"]) / "Downloads" / "index-v2.tinysearch" -# INDEX_PATH = Path(__file__).parent.parent / "devdata" / "index-v2.tinysearch" - - -def add_term_info(document: Document, index: TinyIndex, page_index: int): - tokenized = tokenize_document(document.url, document.title, document.extract, document.score) - for token in tokenized.tokens: - token_page_index = index.get_key_page_index(token) - if token_page_index == page_index: - return Document(document.title, document.url, document.extract, document.score, token) - raise ValueError("Could not find token in page index") +INDEX_PATH = Path(__file__).parent.parent / "devdata" / "index-v2.tinysearch" def run(): diff --git a/analyse/index_local.py b/analyse/index_local.py deleted file mode 100644 index 334868d..0000000 --- a/analyse/index_local.py +++ /dev/null @@ -1,57 +0,0 @@ -""" -Index batches stored locally on the filesystem for the purpose of evaluation. -""" -import glob -import gzip -import json -import logging -import os -import sys -from datetime import datetime - -import spacy - -from mwmbl.crawler import HashedBatch -from mwmbl.crawler.urls import URLDatabase -from mwmbl.database import Database -from mwmbl.indexer import index_batches -from mwmbl.tinysearchengine import TinyIndex, Document - -LOCAL_BATCHES_PATH = f'{os.environ["HOME"]}/data/mwmbl/file/**/*.json.gz' -NUM_BATCHES = 10000 -EVALUATE_INDEX_PATH = f'{os.environ["HOME"]}/data/mwmbl/evaluate-index.tinysearch' -NUM_PAGES = 1_024_000 -PAGE_SIZE = 4096 - - -logging.basicConfig(stream=sys.stdout, level=logging.DEBUG) - - -def get_batches(): - for path in sorted(glob.glob(LOCAL_BATCHES_PATH, recursive=True))[:NUM_BATCHES]: - data = json.load(gzip.open(path)) - yield HashedBatch.parse_obj(data) - - -def run(): - try: - os.remove(EVALUATE_INDEX_PATH) - except FileNotFoundError: - pass - TinyIndex.create(item_factory=Document, index_path=EVALUATE_INDEX_PATH, num_pages=NUM_PAGES, page_size=PAGE_SIZE) - - batches = get_batches() - - start = datetime.now() - with Database() as db: - nlp = spacy.load("en_core_web_sm") - url_db = URLDatabase(db.connection) - index_batches(batches, EVALUATE_INDEX_PATH, nlp, url_db) - end = datetime.now() - - total_time = (end - start).total_seconds() - print("total_seconds:", total_time) - - -if __name__ == '__main__': - run() diff --git a/analyse/inspect_index.py b/analyse/inspect_index.py deleted file mode 100644 index c48ad22..0000000 --- a/analyse/inspect_index.py +++ /dev/null @@ -1,60 +0,0 @@ -import logging -import sys - -import numpy as np -import spacy - -from analyse.index_local import EVALUATE_INDEX_PATH -from mwmbl.indexer import tokenize_document -from mwmbl.indexer import INDEX_PATH -from mwmbl.tinysearchengine import TinyIndex, Document - - -logging.basicConfig(stream=sys.stdout, level=logging.DEBUG) -nlp = spacy.load("en_core_web_sm") - - -def store(): - document = Document( - title='A nation in search of the new black | Theatre | The Guardian', - url='https://www.theguardian.com/stage/2007/nov/18/theatre', - extract="Topic-stuffed and talk-filled, Kwame Kwei-Armah's new play proves that issue-driven drama is (despite reports of its death) still being written and staged…", - score=1.0 - ) - with TinyIndex(Document, INDEX_PATH, 'w') as tiny_index: - tokenized = tokenize_document(document.url, document.title, document.extract, 1, nlp) - print("Tokenized", tokenized) - # for token in tokenized.tokens: - # - # tiny_index.index(token, document) - - -def get_items(): - with TinyIndex(Document, INDEX_PATH) as tiny_index: - items = tiny_index.retrieve('wikipedia') - if items: - for item in items: - print("Items", item) - - -def run(index_path): - with TinyIndex(Document, index_path) as tiny_index: - sizes = {} - for i in range(tiny_index.num_pages): - page = tiny_index.get_page(i) - if page: - sizes[i] = len(page) - if len(page) > 50: - print("Page", len(page), page) - # for item in page: - # if ' search' in item.title: - # print("Page", i, item) - print("Max", max(sizes.values())) - print("Top", sorted(sizes.values())[-100:]) - print("Mean", np.mean(list(sizes.values()))) - - -if __name__ == '__main__': - # store() - run(EVALUATE_INDEX_PATH) - # get_items() diff --git a/devdata/index-v2.tinysearch b/devdata/index-v2.tinysearch index ebf9ba97545ec25846d8b72c90b6a164bcdc389a..d7a3690afd6fb2eb4f8964848903d24ac38f455f 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