chore: Poetry + precommit

.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

.pre-commit-config.yaml

@@ -0,0 +1,77 @@
+default_language_version:
+  python: python3.9
+repos:
+  - repo: meta
+    hooks:
+      - id: check-hooks-apply
+      - id: check-useless-excludes
+
+  - repo: https://github.com/psf/black
+    rev: 23.9.1
+    hooks:
+      - id: black
+
+  - repo: https://github.com/asottile/blacken-docs
+    rev: 1.16.0
+    hooks:
+      - id: blacken-docs
+        additional_dependencies: [black==22.10.0]
+
+  - repo: https://github.com/alessandrojcm/commitlint-pre-commit-hook
+    rev: v9.11.0
+    hooks:
+      - id: commitlint
+        stages: [commit-msg]
+        additional_dependencies: ['@commitlint/config-conventional']
+
+  - repo: https://github.com/codespell-project/codespell
+    rev: v2.2.4
+    hooks:
+      - id: codespell
+        name: Run codespell to check for common misspellings in files
+        language: python
+        types: [ text ]
+        args: [ "--write-changes", "--ignore-words-list", "asend" ]
+        exclude: "poetry.lock"
+
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.4.0
+    hooks:
+      - id: check-vcs-permalinks
+      - id: end-of-file-fixer
+      - id: trailing-whitespace
+        args: [ --markdown-linebreak-ext=md ]
+      - id: debug-statements
+      - id: no-commit-to-branch
+      - id: check-merge-conflict
+      - id: check-toml
+      - id: check-yaml
+        args: [ '--unsafe' ] # for mkdocs.yml
+      - id: detect-private-key
+
+  - repo: https://github.com/commitizen-tools/commitizen
+    rev: v3.13.0
+    hooks:
+      - id: commitizen
+      - id: commitizen-branch
+        stages:
+          - post-commit
+          - push
+
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: v0.0.290
+    hooks:
+      - id: ruff
+        types_or: [python, pyi, jupyter]
+
+  # - repo: https://github.com/pre-commit/mirrors-mypy
+  #   rev: v1.8.0
+  #   hooks:
+  #     - id: mypy
+  #       args: [--ignore-missing-imports]
+
+  - repo: https://github.com/PyCQA/bandit
+    rev: 1.7.6
+    hooks:
+      - id: bandit
+        args: ['-lll']

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 .
+	poetry run black $(PYTHON_FILES) --check
+	poetry run ruff .
+	poetry run vulture . --exclude=venv

pyproject.toml

@@ -0,0 +1,58 @@
+[tool.poetry]
+name = "super-rag"
+version = "0.0.2"
+description = ""
+authors = ["Ismail Pelaseyed"]
+readme = "README.md"
+packages = [{include = "main.py"}]
+
+[tool.poetry.dependencies]
+python = ">=3.9,<3.13"
+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"
+
+[tool.poetry.extras]
+fastembed = ["fastembed"]
+
+[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",
+]

service/embedding.py

@@ -5,7 +5,7 @@
 
 import numpy as np
 import requests
-from fastembed.embedding import FlagEmbedding as Embedding
+from fastembed import TextEmbedding
 from llama_index import Document, SimpleDirectoryReader
 from llama_index.node_parser import SimpleNodeParser
 from tqdm import tqdm
@@ -27,7 +27,6 @@ def _get_datasource_suffix(self, type: str) -> str:
             "PDF": ".pdf",
             "MARKDOWN": ".md",
             "DOCX": ".docx",
-            "PPTX": ".pptx",
         }
         try:
             return suffixes[type]
@@ -63,8 +62,8 @@ async def generate_embeddings(
 
         async def generate_embedding(node):
             if node is not None:
-                embedding_model = Embedding(
-                    model_name="sentence-transformers/all-MiniLM-L6-v2", max_length=512
+                embedding_model = TextEmbedding(
+                    model_name="sentence-transformers/all-MiniLM-L6-v2"
                 )
                 embeddings: List[np.ndarray] = list(embedding_model.embed(node.text))
                 embedding = (

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()