Chucker & tests
This commit is contained in:
Yiorgis Gozadinos
parent
fb7b97dd75
commit
6c948a4afd
7 changed files with 867 additions and 1 deletions
4
.gitignore
vendored
4
.gitignore
vendored
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@ -8,3 +8,7 @@ wheels/
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# Virtual environments
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.venv
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# tests
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tests/data/
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@ -5,7 +5,12 @@ description = "Retrieval Augmented Generation (RAG) with SQLite"
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readme = "README.md"
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authors = [{ name = "Yiorgis Gozadinos", email = "ggozadinos@gmail.com" }]
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requires-python = ">=3.13"
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dependencies = []
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dependencies = [
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"pydantic>=2.11.7",
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"python-dotenv>=1.1.0",
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"sqlite-vec>=0.1.6",
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"tiktoken>=0.9.0",
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]
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[build-system]
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requires = ["hatchling"]
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@ -16,6 +21,7 @@ packages = ["src/haiku"]
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[dependency-groups]
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dev = [
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"datasets>=3.6.0",
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"pre-commit>=4.2.0",
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"pyright>=1.1.402",
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"pytest>=8.4.0",
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76
src/haiku/rag/chunker.py
Normal file
76
src/haiku/rag/chunker.py
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@ -0,0 +1,76 @@
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from typing import ClassVar
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import tiktoken
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from haiku.rag.config import Config
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class Chunker:
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"""
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A class that chunks text into smaller pieces for embedding and retrieval.
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Parameters
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----------
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chunk_size : int
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The maximum size of a chunk in characters.
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chunk_overlap : int
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The number of characters of overlap between chunks.
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"""
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encoder: ClassVar[tiktoken.Encoding] = tiktoken.encoding_for_model("gpt-4o")
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def __init__(
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self,
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chunk_size: int = Config.CHUNK_SIZE,
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chunk_overlap: int = Config.CHUNK_OVERLAP,
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):
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self.chunk_size = chunk_size
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self.chunk_overlap = chunk_overlap
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async def chunk(self, text: str) -> list[str]:
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"""
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Split the text into chunks.
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Parameters
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----------
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text : str
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The text to be split into chunks.
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Returns
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-------
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list
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A list of text chunks.
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"""
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if not text:
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return []
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encoded_tokens = self.encoder.encode(text, disallowed_special=())
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if self.chunk_size > len(encoded_tokens):
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return [text]
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chunks = []
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i = 0
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split_id_counter = 0
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while i < len(encoded_tokens):
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# Overlap
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start_i = i
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end_i = min(i + self.chunk_size, len(encoded_tokens))
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chunk_tokens = encoded_tokens[start_i:end_i]
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chunk_text = self.encoder.decode(chunk_tokens)
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chunks.append(chunk_text)
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split_id_counter += 1
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# Exit loop if this was the last possible chunk
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if end_i == len(encoded_tokens):
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break
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i += (
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self.chunk_size - self.chunk_overlap
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) # Step forward, considering overlap
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return chunks
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chunker = Chunker()
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21
src/haiku/rag/config.py
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21
src/haiku/rag/config.py
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@ -0,0 +1,21 @@
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import os
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from dotenv import load_dotenv
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from pydantic import BaseModel
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load_dotenv()
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class AppConfig(BaseModel):
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ENV: str = "development"
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OLLAMA_BASE_URL: str = "http://localhost:11434"
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EMBEDDING_MODEL: str = "mxbai-embed-large"
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EMBEDDING_VECTOR_DIM: int = 1024
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CHUNK_SIZE: int = 256
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CHUNK_OVERLAP: int = 32
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# Expose Config object for app to import
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Config = AppConfig.model_validate(os.environ)
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18
tests/conftest.py
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tests/conftest.py
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@ -0,0 +1,18 @@
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from pathlib import Path
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import pytest
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from datasets import Dataset, load_dataset, load_from_disk
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@pytest.fixture(scope="session")
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def qa_corpus() -> Dataset:
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ds_path = Path(__file__).parent / "data" / "dataset"
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ds_path.mkdir(parents=True, exist_ok=True)
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try:
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ds: Dataset = load_from_disk(ds_path) # type: ignore
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return ds
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except FileNotFoundError:
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ds: Dataset = load_dataset("ServiceNow/repliqa")["repliqa_3"] # type: ignore
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corpus = ds.filter(lambda doc: doc["document_topic"] == "News Stories")
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corpus.save_to_disk(ds_path)
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return corpus
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44
tests/test_chunker.py
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44
tests/test_chunker.py
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@ -0,0 +1,44 @@
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import pytest
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from datasets import Dataset
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from haiku.rag.chunker import Chunker
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@pytest.mark.asyncio
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async def test_chunker(qa_corpus: Dataset):
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chunker = Chunker()
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doc = qa_corpus[0]["document_extracted"]
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chunks = await Chunker().chunk(doc)
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# Ensure that the text is split into multiple chunks
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assert len(chunks) > 1
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# Ensure that each chunk corresponds to roughly Config.CHUNK_SIZE tokens
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for chunk in chunks[:-1]:
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encoded_tokens = Chunker.encoder.encode(chunk, disallowed_special=())
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assert len(encoded_tokens) <= Chunker().chunk_size
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assert len(encoded_tokens) > Chunker().chunk_size * 0.9
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# Ensure that the last chunk is less than Config.CHUNK_SIZE tokens
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assert (
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len(Chunker.encoder.encode(chunks[-1], disallowed_special=()))
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< Chunker().chunk_size
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)
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# Test overlap between consecutive chunks
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for i in range(len(chunks) - 1):
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current_chunk = chunks[i]
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next_chunk = chunks[i + 1]
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current_tokens = Chunker.encoder.encode(current_chunk, disallowed_special=())
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next_tokens = Chunker.encoder.encode(next_chunk, disallowed_special=())
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overlap_size = min(chunker.chunk_overlap, len(current_tokens))
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current_overlap_tokens = current_tokens[-overlap_size:]
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next_overlap_tokens = next_tokens[:overlap_size]
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# The overlapping tokens should be identical
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assert current_overlap_tokens == next_overlap_tokens
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assert len(current_overlap_tokens) == min(
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chunker.chunk_overlap, len(current_tokens)
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)
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697
uv.lock
697
uv.lock
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@ -2,6 +2,88 @@ version = 1
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revision = 2
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requires-python = ">=3.13"
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Loading…
Reference in a new issue