diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml index 44bab06a..269f1344 100644 --- a/.github/workflows/lint.yml +++ b/.github/workflows/lint.yml @@ -5,6 +5,9 @@ on: branches: [main] pull_request: +env: + POETRY_VERSION: "1.4.2" + jobs: build: runs-on: ubuntu-latest @@ -16,14 +19,17 @@ jobs: - "3.11" steps: - uses: actions/checkout@v4 + - name: Install poetry + run: | + pipx install poetry==$POETRY_VERSION - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} + cache: poetry - name: Install dependencies run: | - python -m pip install --upgrade pip - pip install -r requirements.txt + poetry install - name: Analysing the code with our lint run: | - make lint + make lint \ No newline at end of file diff --git a/Makefile b/Makefile index 2596be0e..ffdb6dcb 100644 --- a/Makefile +++ b/Makefile @@ -1,11 +1,13 @@ format: - python -m black . - python -m ruff --select I --fix . + poetry run black . + poetry run ruff --select I --fix . + poetry run vulture . --exclude=venv PYTHON_FILES=. lint: PYTHON_FILES=. lint_diff: PYTHON_FILES=$(shell git diff --name-only --diff-filter=d master | grep -E '\.py$$') lint lint_diff: - python -m black $(PYTHON_FILES) --check - python -m ruff . \ No newline at end of file + poetry run black $(PYTHON_FILES) --check + poetry run ruff . + poetry run vulture . --exclude=venv \ No newline at end of file diff --git a/api/ingest.py b/api/ingest.py index 1672d75c..394f54bb 100644 --- a/api/ingest.py +++ b/api/ingest.py @@ -1,6 +1,7 @@ +import asyncio from typing import Dict -import requests +import aiohttp from fastapi import APIRouter import encoders @@ -10,9 +11,6 @@ router = APIRouter() -# Ensure you import the encoders module or specific encoder classes - - @router.post("/ingest") async def ingest(payload: RequestPayload) -> Dict: embedding_service = EmbeddingService( @@ -23,7 +21,6 @@ async def ingest(payload: RequestPayload) -> Dict: documents = await embedding_service.generate_documents() chunks = await embedding_service.generate_chunks(documents=documents) - # Encoder selection based on the payload's encoder value encoder_mapping = { EncoderEnum.cohere: encoders.CohereEncoder, EncoderEnum.openai: encoders.OpenAIEncoder, @@ -36,11 +33,30 @@ async def ingest(payload: RequestPayload) -> Dict: raise ValueError(f"Unsupported encoder: {payload.encoder}") encoder = encoder_class() - await embedding_service.generate_embeddings(nodes=chunks, encoder=encoder) + summary_documents = await embedding_service.generate_summary_documents( + documents=documents + ) + chunks, summary_chunks = await asyncio.gather( + embedding_service.generate_chunks(documents=documents), + embedding_service.generate_chunks(documents=summary_documents), + ) + + await asyncio.gather( + embedding_service.generate_embeddings( + nodes=chunks, encoder=encoder, index_name=payload.index_name + ), + embedding_service.generate_embeddings( + nodes=summary_chunks, + encoder=encoder, + index_name=f"{payload.index_name}-summary", + ), + ) if payload.webhook_url: - requests.post( - url=payload.webhook_url, - json={"index_name": payload.index_name, "status": "completed"}, - ) + async with aiohttp.ClientSession() as session: + await session.post( + url=payload.webhook_url, + json={"index_name": payload.index_name, "status": "completed"}, + ) + return {"success": True, "index_name": payload.index_name} diff --git a/dev/walkthrough.ipynb b/dev/walkthrough.ipynb index e19aba4b..c05fb7c6 100644 --- a/dev/walkthrough.ipynb +++ b/dev/walkthrough.ipynb @@ -24,9 +24,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'success': True, 'index_name': 'simonas-serverless-1536'}\n" + ] + } + ], "source": [ "# Ingest a file\n", "url = f\"{API_URL}/api/v1/ingest\"\n", @@ -53,6 +61,13 @@ "\n", "print(response.json())" ] + }, 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= "abd8afe21470956cb3a1181306de2a607f2c1eef042ab67ffc2802c8299c2c15" +content-hash = "765168a02a9fc27986b4ea1077a4dfdc904d2be5f980201d40e6a431b1290708" diff --git a/pyproject.toml b/pyproject.toml index 225a8388..79134e85 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,137 +1,59 @@ [tool.poetry] name = "super-rag" -version = "0.1.0" +version = "0.0.2" description = "" -authors = [""] +authors = ["Ismail Pelaseyed"] readme = "README.md" -packages = [{include = "super_rag"}] +packages = [{include = "main.py"}] [tool.poetry.dependencies] python = ">=3.9,<3.13" -fastembed = {version = "^0.1.3", optional = true, python = "<3.12"} -aiohttp = "3.9.1" -aiosignal = "1.3.1" -annotated-types = "0.6.0" -anyio = "4.2.0" -astrapy = "0.7.0" -attrs = "23.2.0" -authlib = "1.3.0" -backoff = "2.2.1" -beautifulsoup4 = "4.12.2" -black = "23.12.1" -cassandra-driver = "3.29.0" -cassio = "0.1.4" -certifi = "2023.11.17" -cffi = "1.16.0" -charset-normalizer = "3.3.2" -click = "8.1.7" -cohere = "4.42" -coloredlogs = "15.0.1" -colorlog = "6.8.2" -cryptography = "41.0.7" -dataclasses-json = "0.6.3" -deprecated = "1.2.14" -distro = "1.9.0" -dnspython = "2.4.2" -docx2txt = "0.8" -fastapi = "0.109.0" -fastavro = "1.9.3" -filelock = "3.13.1" -flatbuffers = "23.5.26" -frozenlist = "1.4.1" -fsspec = "2023.12.2" -geomet = "0.2.1.post1" -greenlet = "3.0.3" -grpcio = "1.60.0" -grpcio-tools = "1.60.0" -gunicorn = "21.2.0" -h11 = "0.14.0" -h2 = "4.1.0" -hpack = "4.0.0" -httpcore = "1.0.2" -httptools = "0.6.1" -httpx = "0.25.2" -huggingface-hub = "0.19.4" -humanfriendly = "10.0" -hyperframe = "6.0.1" -idna = "3.6" -importlib-metadata = "6.11.0" -jinja2 = "3.1.3" -joblib = "1.3.2" -llama-index = "0.9.30" -loguru = "0.7.2" -lxml = "5.1.0" -markupsafe = "2.1.3" -marshmallow = "3.20.2" -mpmath = "1.3.0" -multidict = "6.0.4" -mypy-extensions = "1.0.0" -nest-asyncio = "1.5.8" -networkx = "3.2.1" -nltk = "3.8.1" -numpy = "1.26.3" -onnx = "1.15.0" -onnxruntime = "1.17.0" -openai = "1.10.0" -packaging = "23.2" -pandas = "2.1.4" -pathspec = "0.12.1" -pillow = "10.2.0" -pinecone-client = "3.0.0" -platformdirs = "4.1.0" -portalocker = "2.8.2" -protobuf = "4.25.2" -pycparser = "2.21" -pydantic = "2.6.0" -pydantic-core = "2.16.1" -pyjwt = "2.8.0" -pypdf = "3.17.4" -python-dateutil = "2.8.2" -python-decouple = "3.8" -python-dotenv = "1.0.0" -python-pptx = "0.6.23" -pytz = "2023.3.post1" -pyyaml = "6.0.1" -qdrant-client = "1.7.0" -regex = "2023.12.25" -requests = "2.31.0" -ruff = "0.1.13" -safetensors = "0.4.1" -semantic-router = "0.0.20" -six = "1.16.0" -sniffio = "1.3.0" -soupsieve = "2.5" -sqlalchemy = "2.0.25" -starlette = "0.35.1" -sympy = "1.12" -tenacity = "8.2.3" -tiktoken = "0.5.2" -tokenizers = "0.15.0" -toml = "0.10.2" -torch = "2.1.2" -tqdm = "4.66.1" -typing-inspect = "0.9.0" -typing-extensions = "4.9.0" -tzdata = "2023.4" -urllib3 = "1.26.18" -uvicorn = "0.25.0" -uvloop = "0.19.0" -validators = "0.22.0" -vulture = "2.10" -watchfiles = "0.21.0" -weaviate-client = "3.26.0" -websockets = "12.0" -wrapt = "1.16.0" -xlsxwriter = "3.1.9" -yarl = "1.9.4" -zipp = "3.17.0" +fastapi = "^0.109.2" +uvicorn = "^0.27.1" +weaviate-client = "^3.26.0" +llama-index = "^0.9.46" +pinecone-client = "^3.0.2" +qdrant-client = "^1.7.3" +ruff = "^0.2.1" +black = "^23.12.1" +flake8 = "^7.0.0" +vulture = "^2.11" +python-decouple = "^3.8" +semantic-router = "^0.0.20" +astrapy = "^0.7.4" +openai = "^1.12.0" +tqdm = "^4.66.2" +cohere = "^4.46" +cmake = "^3.28.1" +fastembed = "^0.2.1" +pypdf = "^4.0.1" +docx2txt = "^0.8" +python-dotenv = "^1.0.1" [tool.poetry.extras] fastembed = ["fastembed"] -[tool.poetry.group.dev.dependencies] -ipykernel = "^6.29.2" - [build-system] requires = ["poetry-core"] build-backend = "poetry.core.masonry.api" + + +[tool.vulture] +exclude = [ + "*/test_*.py", + "*/.venv/*.py", +] +ignore_decorators = ["@app.route", "@require_*"] +ignore_names = ["visit_*", "do_*"] +make_whitelist = true +min_confidence = 100 +paths = ["."] +sort_by_size = true +verbose = false + +[tool.ruff] +exclude = [ + "*/docs/*.py", + "*/test_*.py", + "*/.venv/*.py", +] diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index f29452f4..00000000 --- a/requirements.txt +++ /dev/null @@ -1,117 +0,0 @@ -aiohttp==3.9.1 -aiosignal==1.3.1 -annotated-types==0.6.0 -anyio==4.2.0 -astrapy==0.7.0 -attrs==23.2.0 -Authlib==1.3.0 -backoff==2.2.1 -beautifulsoup4==4.12.2 -black==23.12.1 -cassandra-driver==3.29.0 -cassio==0.1.4 -certifi==2023.11.17 -cffi==1.16.0 -charset-normalizer==3.3.2 -click==8.1.7 -cohere==4.42 -coloredlogs==15.0.1 -colorlog==6.8.2 -cryptography==41.0.7 -dataclasses-json==0.6.3 -Deprecated==1.2.14 -distro==1.9.0 -dnspython==2.4.2 -docx2txt==0.8 -fastapi==0.109.0 -fastavro==1.9.3 -fastembed==0.1.3 -filelock==3.13.1 -flatbuffers==23.5.26 -frozenlist==1.4.1 -fsspec==2023.12.2 -geomet==0.2.1.post1 -greenlet==3.0.3 -grpcio==1.60.0 -grpcio-tools==1.60.0 -gunicorn==21.2.0 -h11==0.14.0 -h2==4.1.0 -hpack==4.0.0 -httpcore==1.0.2 -httptools==0.6.1 -httpx==0.25.2 -huggingface-hub==0.19.4 -humanfriendly==10.0 -hyperframe==6.0.1 -idna==3.6 -importlib-metadata==6.11.0 -Jinja2==3.1.3 -joblib==1.3.2 -llama-index==0.9.30 -loguru==0.7.2 -lxml==5.1.0 -MarkupSafe==2.1.3 -marshmallow==3.20.2 -mpmath==1.3.0 -multidict==6.0.4 -mypy-extensions==1.0.0 -nest-asyncio==1.5.8 -networkx==3.2.1 -nltk==3.8.1 -numpy==1.26.3 -onnx==1.15.0 -onnxruntime==1.17.0 -openai==1.10.0 -packaging==23.2 -pandas==2.1.4 -pathspec==0.12.1 -pillow==10.2.0 -pinecone-client==3.0.0 -platformdirs==4.1.0 -portalocker==2.8.2 -protobuf==4.25.2 -pycparser==2.21 -pydantic==2.6.0 -pydantic_core==2.16.1 -PyJWT==2.8.0 -pypdf==3.17.4 -python-dateutil==2.8.2 -python-decouple==3.8 -python-dotenv==1.0.0 -python-pptx==0.6.23 -pytz==2023.3.post1 -PyYAML==6.0.1 -qdrant-client==1.7.0 -regex==2023.12.25 -requests==2.31.0 -ruff==0.1.13 -safetensors==0.4.1 -semantic-router==0.0.20 -six==1.16.0 -sniffio==1.3.0 -soupsieve==2.5 -SQLAlchemy==2.0.25 -starlette==0.35.1 -sympy==1.12 -tenacity==8.2.3 -tiktoken==0.5.2 -tokenizers==0.15.0 -toml==0.10.2 -torch==2.1.2 -tqdm==4.66.1 -typing-inspect==0.9.0 -typing_extensions==4.9.0 -tzdata==2023.4 -urllib3==1.26.18 -uvicorn==0.25.0 -uvloop==0.19.0 -validators==0.22.0 -vulture==2.10 -watchfiles==0.21.0 -weaviate-client==3.26.0 -websockets==12.0 -wrapt==1.16.0 -XlsxWriter==3.1.9 -yarl==1.9.4 -zipp==3.17.0 diff --git a/service/embedding.py b/service/embedding.py index 4761bfbc..dc269346 100644 --- a/service/embedding.py +++ b/service/embedding.py @@ -1,6 +1,7 @@ import asyncio +import copy from tempfile import NamedTemporaryFile -from typing import Any, List, Union +from typing import Any, List, Optional, Union import numpy as np import requests @@ -11,6 +12,7 @@ from encoders import BaseEncoder from models.file import File from service.vector_database import get_vector_service +from utils.summarise import completion class EmbeddingService: @@ -25,7 +27,6 @@ def _get_datasource_suffix(self, type: str) -> str: "PDF": ".pdf", "MARKDOWN": ".md", "DOCX": ".docx", - "PPTX": ".pptx", } try: return suffixes[type] @@ -37,9 +38,9 @@ async def generate_documents(self) -> List[Document]: for file in tqdm(self.files, desc="Generating documents"): suffix = self._get_datasource_suffix(file.type.value) with NamedTemporaryFile(suffix=suffix, delete=True) as temp_file: - response = requests.get(url=file.url) - temp_file.write(response.content) - temp_file.flush() + with requests.get(url=file.url) as response: # Add context manager here + temp_file.write(response.content) + temp_file.flush() reader = SimpleDirectoryReader(input_files=[temp_file.name]) docs = reader.load_data() for doc in docs: @@ -55,7 +56,10 @@ async def generate_chunks( return nodes async def generate_embeddings( - self, nodes: List[Union[Document, None]], encoder: BaseEncoder + self, + nodes: List[Union[Document, None]], + encoder: BaseEncoder, + index_name: Optional[str] = None, ) -> List[tuple[str, list, dict[str, Any]]]: pbar = tqdm(total=len(nodes), desc="Generating embeddings") @@ -64,9 +68,6 @@ async def generate_embedding(node): embeddings: List[np.ndarray] = [ np.array(e) for e in encoder([node.text]) ] - - print(f"embeddings: {embeddings}") - embedding = ( node.id_, embeddings[0].tolist(), @@ -82,8 +83,22 @@ async def generate_embedding(node): embeddings = await asyncio.gather(*tasks) pbar.close() vector_service = get_vector_service( - index_name=self.index_name, credentials=self.vector_credentials + index_name=index_name or self.index_name, + credentials=self.vector_credentials, ) await vector_service.upsert(embeddings=[e for e in embeddings if e is not None]) return [e for e in embeddings if e is not None] + + async def generate_summary_documents( + self, documents: List[Document] + ) -> List[Document]: + pbar = tqdm(total=len(documents), desc="Summarizing documents") + summary_documents = [] + for document in documents: + doc_copy = copy.deepcopy(document) # Make a copy of the document + doc_copy.text = await completion(document=doc_copy) + summary_documents.append(doc_copy) + pbar.update() + pbar.close() + return summary_documents diff --git a/service/router.py b/service/router.py index 3c993673..58c8ef20 100644 --- a/service/router.py +++ b/service/router.py @@ -22,6 +22,7 @@ def create_route_layer() -> RouteLayer: score_threshold=0.5, ) ] + print(config("COHERE_API_KEY")) encoder = CohereEncoder(cohere_api_key=config("COHERE_API_KEY")) return RouteLayer(encoder=encoder, routes=routes) @@ -40,9 +41,13 @@ async def get_documents(vector_service: VectorService, payload: RequestPayload) async def query(payload: RequestPayload) -> List: rl = create_route_layer() decision = rl(payload.input).name - print(decision) + if decision == "summarize": - return [] + vector_service: VectorService = get_vector_service( + index_name=f"{payload.index_name}summary", + credentials=payload.vector_database, + ) + return await get_documents(vector_service, payload) vector_service: VectorService = get_vector_service( index_name=payload.index_name, credentials=payload.vector_database diff --git a/service/vector_database.py b/service/vector_database.py index 7258a6c9..6b784ca1 100644 --- a/service/vector_database.py +++ b/service/vector_database.py @@ -5,7 +5,7 @@ import weaviate from astrapy.db import AstraDB from decouple import config -from fastembed.embedding import FlagEmbedding as Embedding +from fastembed import TextEmbedding from pinecone import Pinecone, ServerlessSpec from qdrant_client import QdrantClient from qdrant_client.http import models as rest @@ -36,9 +36,9 @@ async def convert_to_rerank_format(): async def delete(self, file_url: str): pass - async def _generate_vectors(sefl, input: str): - embedding_model = Embedding( - model_name="sentence-transformers/all-MiniLM-L6-v2", max_length=512 + async def _generate_vectors(self, input: str): + embedding_model = TextEmbedding( + model_name="sentence-transformers/all-MiniLM-L6-v2" ) embeddings: List[np.ndarray] = list(embedding_model.embed(input)) return embeddings[0].tolist() @@ -73,8 +73,8 @@ def __init__(self, index_name: str, dimension: int, credentials: dict): if index_name not in [index.name for index in pinecone.list_indexes()]: pinecone.create_index( name=self.index_name, - dimension=1024, - metric="cosine", + dimension=1536, # TODO: make it dynamic based on the encoder + metric="dotproduct", spec=ServerlessSpec(cloud="aws", region="us-west-2"), ) self.index = pinecone.Index(name=self.index_name) diff --git a/utils/__init__.py b/utils/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/utils/summarise.py b/utils/summarise.py new file mode 100644 index 00000000..ec46e6ac --- /dev/null +++ b/utils/summarise.py @@ -0,0 +1,33 @@ +from decouple import config +from llama_index import Document +from openai import AsyncOpenAI + +client = AsyncOpenAI( + api_key=config("OPENAI_API_KEY"), +) + + +def _generate_content(document: Document) -> str: + return f"""Make an in depth summary the block of text below. + +Text: +------------------------------------------ +{document.get_content()} +------------------------------------------ + +Your summary:""" + + +async def completion(document: Document): + content = _generate_content(document) + completion = await client.chat.completions.create( + messages=[ + { + "role": "user", + "content": content, + } + ], + model="gpt-3.5-turbo-16k", + ) + + return completion.choices[0].message.content