From 6f15ca4698cd6ded842302a7aea54b5eeb4092d1 Mon Sep 17 00:00:00 2001 From: LongBaoCoder2 Date: Tue, 18 Feb 2025 18:10:46 +0700 Subject: [PATCH] feat: backend folder --- .pre-commit-config.yaml | 22 - backend/.env.example | 32 + backend/.flake8 | 3 + backend/.gitignore | 164 + backend/Dockerfile | 33 + backend/LINT.md | 14 + backend/data/.gitkeep | 0 backend/example/dev.py | 3 + backend/example/ingest_data.py | 121 + backend/example/setup_vector_store.py | 75 + backend/mypy.ini | 3 + backend/notebooks/evaluate.ipynb | 2053 ++++++++ backend/poetry.lock | 4181 +++++++++++++++++ backend/pyproject.toml | 55 + backend/qllm/__init__.py | 0 backend/qllm/alembic.ini | 117 + backend/qllm/alembic/README | 1 + backend/qllm/alembic/env.py | 79 + backend/qllm/alembic/script.py.mako | 26 + .../versions/0a26dbae5dec_sync_data_schema.py | 30 + .../versions/10c4b390af9c_remove_id.py | 26 + .../113ea238658a_sync_database_schema.py | 97 + .../versions/11a619e24bd5_sync_data_schema.py | 30 + .../versions/1c94ca6ef07a_add_id_to_user.py | 26 + .../versions/24c2375cc7e7_sync_data_schema.py | 34 + .../versions/2ce2747b86a2_sync_data_schema.py | 230 + .../versions/322814d347c8_sync_data_schema.py | 30 + .../versions/35092bb8bcd0_sync_data_schema.py | 281 ++ .../versions/36452382a402_sync_data_schema.py | 124 + .../versions/56475328e32f_sync_data_schema.py | 87 + .../versions/58dc3b337ee4_sync_data_schema.py | 30 + .../6c74c3d3939b_sync_database_schema.py | 155 + .../versions/6efbea0a004e_sync_data_schema.py | 278 ++ .../versions/7ca9e8beebc8_sync_data_schema.py | 41 + .../versions/7d780aef4247_sync_data_schema.py | 283 ++ .../versions/7db228edf6fa_sync_data_schema.py | 124 + .../versions/83b55047b9d4_sync_data_schema.py | 124 + .../870d065282bf_delete_cascade_mode.py | 30 + .../versions/88d6781c0e25_fix_foreign_key.py | 26 + .../versions/8c2b1fabe162_sync_data_schema.py | 278 ++ .../915d343103da_normalize_user_table.py | 26 + .../versions/a50c3e6dbc22_sync_data_schema.py | 283 ++ .../aebe87a697e1_sync_database_schema.py | 30 + ...b6d60c870717_add_age_and_gender_to_user.py | 48 + ...e97_fix_relationship_user_medicalrecord.py | 30 + .../c3308de4a9cd_initial_migration.py | 30 + .../qllm/alembic/versions/dd225c9b9e5f_.py | 133 + .../versions/e1717e4dec93_fix_user_id_type.py | 26 + .../versions/eafb3967a6c1_sync_data_schema.py | 224 + ...eb2333c81c_fix_relationship_user_memory.py | 30 + .../versions/f67334b2d2f4_sync_data_schema.py | 224 + backend/qllm/api/__init__.py | 0 backend/qllm/api/crud.py | 0 backend/qllm/api/deps.py | 25 + backend/qllm/api/middlewares/__init__.py | 0 backend/qllm/api/middlewares/jwt.py | 94 + backend/qllm/api/routers/__init__.py | 10 + backend/qllm/api/routers/auth.py | 105 + backend/qllm/api/routers/conversation.py | 313 ++ backend/qllm/api/routers/upload.py | 8 + backend/qllm/api/schemas/__init__.py | 0 backend/qllm/api/schemas/auth.py | 40 + backend/qllm/api/schemas/conversation.py | 5 + backend/qllm/api/schemas/message.py | 33 + backend/qllm/chat/__init__.py | 78 + backend/qllm/chat/engine.py | 149 + backend/qllm/chat/index.py | 63 + backend/qllm/chat/query_transform.py | 50 + backend/qllm/chat/synthesizer.py | 63 + backend/qllm/chat/tools/pubmed_tool.py | 68 + backend/qllm/core/__init__.py | 0 backend/qllm/core/config.py | 108 + backend/qllm/core/database.py | 8 + backend/qllm/core/logger.py | 34 + backend/qllm/core/utils.py | 17 + backend/qllm/core/vector_store.py | 56 + backend/qllm/dev.py | 8 + backend/qllm/index.py | 93 + backend/qllm/init_setting.py | 36 + backend/qllm/main.py | 160 + backend/qllm/models/__init__.py | 2 + backend/qllm/models/base.py | 21 + backend/qllm/models/model.py | 186 + backend/qllm/prompts/__init__.py | 36 + backend/qllm/prompts/base.py | 54 + .../prompts/templates/query_transform.txt | 21 + backend/qllm/prompts/templates/synthesis.txt | 15 + backend/qllm/prompts/templates/system.txt | 17 + backend/qllm/services/__init__.py | 0 backend/qllm/services/db/__init__.py | 1 + backend/qllm/services/db/session.py | 22 + backend/qllm/services/db/wait_for_db.py | 23 + backend/qllm/services/memory_service.py | 126 + backend/qllm/services/qdrant_service.py | 61 + backend/tests/__init__.py | 0 backend/tool/config.yaml | 0 96 files changed, 12617 insertions(+), 22 deletions(-) delete mode 100644 .pre-commit-config.yaml create mode 100644 backend/.env.example create mode 100644 backend/.flake8 create mode 100644 backend/.gitignore create mode 100644 backend/Dockerfile create mode 100644 backend/LINT.md create mode 100644 backend/data/.gitkeep create mode 100644 backend/example/dev.py create mode 100644 backend/example/ingest_data.py create mode 100644 backend/example/setup_vector_store.py create mode 100644 backend/mypy.ini create mode 100644 backend/notebooks/evaluate.ipynb create mode 100644 backend/poetry.lock create mode 100644 backend/pyproject.toml create mode 100644 backend/qllm/__init__.py create mode 100644 backend/qllm/alembic.ini create mode 100644 backend/qllm/alembic/README create mode 100644 backend/qllm/alembic/env.py create mode 100644 backend/qllm/alembic/script.py.mako create mode 100644 backend/qllm/alembic/versions/0a26dbae5dec_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/10c4b390af9c_remove_id.py create mode 100644 backend/qllm/alembic/versions/113ea238658a_sync_database_schema.py create mode 100644 backend/qllm/alembic/versions/11a619e24bd5_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/1c94ca6ef07a_add_id_to_user.py create mode 100644 backend/qllm/alembic/versions/24c2375cc7e7_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/2ce2747b86a2_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/322814d347c8_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/35092bb8bcd0_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/36452382a402_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/56475328e32f_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/58dc3b337ee4_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/6c74c3d3939b_sync_database_schema.py create mode 100644 backend/qllm/alembic/versions/6efbea0a004e_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/7ca9e8beebc8_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/7d780aef4247_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/7db228edf6fa_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/83b55047b9d4_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/870d065282bf_delete_cascade_mode.py create mode 100644 backend/qllm/alembic/versions/88d6781c0e25_fix_foreign_key.py create mode 100644 backend/qllm/alembic/versions/8c2b1fabe162_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/915d343103da_normalize_user_table.py create mode 100644 backend/qllm/alembic/versions/a50c3e6dbc22_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/aebe87a697e1_sync_database_schema.py create mode 100644 backend/qllm/alembic/versions/b6d60c870717_add_age_and_gender_to_user.py create mode 100644 backend/qllm/alembic/versions/bdd45921ae97_fix_relationship_user_medicalrecord.py create mode 100644 backend/qllm/alembic/versions/c3308de4a9cd_initial_migration.py create mode 100644 backend/qllm/alembic/versions/dd225c9b9e5f_.py create mode 100644 backend/qllm/alembic/versions/e1717e4dec93_fix_user_id_type.py create mode 100644 backend/qllm/alembic/versions/eafb3967a6c1_sync_data_schema.py create mode 100644 backend/qllm/alembic/versions/f0eb2333c81c_fix_relationship_user_memory.py create mode 100644 backend/qllm/alembic/versions/f67334b2d2f4_sync_data_schema.py create mode 100644 backend/qllm/api/__init__.py create mode 100644 backend/qllm/api/crud.py create mode 100644 backend/qllm/api/deps.py create mode 100644 backend/qllm/api/middlewares/__init__.py create mode 100644 backend/qllm/api/middlewares/jwt.py create mode 100644 backend/qllm/api/routers/__init__.py create mode 100644 backend/qllm/api/routers/auth.py create mode 100644 backend/qllm/api/routers/conversation.py create mode 100644 backend/qllm/api/routers/upload.py create mode 100644 backend/qllm/api/schemas/__init__.py create mode 100644 backend/qllm/api/schemas/auth.py create mode 100644 backend/qllm/api/schemas/conversation.py create mode 100644 backend/qllm/api/schemas/message.py create mode 100644 backend/qllm/chat/__init__.py create mode 100644 backend/qllm/chat/engine.py create mode 100644 backend/qllm/chat/index.py create mode 100644 backend/qllm/chat/query_transform.py create mode 100644 backend/qllm/chat/synthesizer.py create mode 100644 backend/qllm/chat/tools/pubmed_tool.py create mode 100644 backend/qllm/core/__init__.py create mode 100644 backend/qllm/core/config.py create mode 100644 backend/qllm/core/database.py create mode 100644 backend/qllm/core/logger.py create mode 100644 backend/qllm/core/utils.py create mode 100644 backend/qllm/core/vector_store.py create mode 100644 backend/qllm/dev.py create mode 100644 backend/qllm/index.py create mode 100644 backend/qllm/init_setting.py create mode 100644 backend/qllm/main.py create mode 100644 backend/qllm/models/__init__.py create mode 100644 backend/qllm/models/base.py create mode 100644 backend/qllm/models/model.py create mode 100644 backend/qllm/prompts/__init__.py create mode 100644 backend/qllm/prompts/base.py create mode 100644 backend/qllm/prompts/templates/query_transform.txt create mode 100644 backend/qllm/prompts/templates/synthesis.txt create mode 100644 backend/qllm/prompts/templates/system.txt create mode 100644 backend/qllm/services/__init__.py create mode 100644 backend/qllm/services/db/__init__.py create mode 100644 backend/qllm/services/db/session.py create mode 100644 backend/qllm/services/db/wait_for_db.py create mode 100644 backend/qllm/services/memory_service.py create mode 100644 backend/qllm/services/qdrant_service.py create mode 100644 backend/tests/__init__.py create mode 100644 backend/tool/config.yaml diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml deleted file mode 100644 index f343a07..0000000 --- a/.pre-commit-config.yaml +++ /dev/null @@ -1,22 +0,0 @@ -repos: - - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v5.0.0 - hooks: - - id: trailing-whitespace - - id: end-of-file-fixer - - id: check-yaml - - - repo: https://github.com/psf/black - rev: 24.10.0 - hooks: - - id: black - - - repo: https://github.com/pre-commit/mirrors-isort - rev: v5.10.1 - hooks: - - id: isort - - - repo: https://github.com/pycqa/flake8 - rev: 7.1.1 - hooks: - - id: flake8 diff --git a/backend/.env.example b/backend/.env.example new file mode 100644 index 0000000..6e73e70 --- /dev/null +++ b/backend/.env.example @@ -0,0 +1,32 @@ +# General settings +PROJECT_NAME= +API_PREFIX= +SECRET_KEY= +ACCESS_TOKEN_EXPIRE_MINUTES=11520 + +# CORS Origins +FRONTEND_HOST=http://localhost:3000 + +# Environment and logging +ENVIRONMENT=local # Options: local, staging, production +LOG_LEVEL=DEBUG # Options: DEBUG, INFO, ERROR, WARNING +SENTRY_DSN= # Add your Sentry DSN if available + +# Database configuration +POSTGRES_SERVER=localhost +POSTGRES_PORT=5432 +POSTGRES_USER=user +POSTGRES_PASSWORD=password +POSTGRES_DB=app_database + +# LLM Configuration +LLM_TEMPERATURE=0.5 +LLM_MAX_TOKENS= +EMBEDDING_DIM=1024 + +# OpenAI Configuration +LLM_OPENAI_MODEL= +OPENAI_API_KEY= + +# Optional Worker Configuration +UVICORN_WORKER_COUNT= diff --git a/backend/.flake8 b/backend/.flake8 new file mode 100644 index 0000000..2401daf --- /dev/null +++ b/backend/.flake8 @@ -0,0 +1,3 @@ +[flake8] +max-line-length = 88 +exclude = .venv,.git,__pycache__,build,dist diff --git a/backend/.gitignore b/backend/.gitignore new file mode 100644 index 0000000..77488f8 --- /dev/null +++ b/backend/.gitignore @@ -0,0 +1,164 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/latest/usage/project/#working-with-version-control +.pdm.toml +.pdm-python +.pdm-build/ + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ +.python-version +/qdrant_storage +/data/dev-test-*.txt \ No newline at end of file diff --git a/backend/Dockerfile b/backend/Dockerfile new file mode 100644 index 0000000..e2ad48c --- /dev/null +++ b/backend/Dockerfile @@ -0,0 +1,33 @@ +# Use a slim Python image for smaller size +FROM python:3.11.3-slim-bullseye + +# Set environment variables for non-buffered output and working directory +ENV PYTHONUNBUFFERED=1 \ + APP_HOME=/app + +WORKDIR $APP_HOME + +# Install system dependencies in one step +RUN apt-get update --no-cache && \ + apt-get install -y --no-install-recommends \ + libpq-dev \ + gcc \ + build-essential \ + wkhtmltopdf && \ + rm -rf /var/lib/apt/lists/* # Clean up APT cache + +# Install Poetry +RUN pip install --no-cache-dir poetry + +# Copy dependency files first for better caching +COPY pyproject.toml poetry.lock ./ + +# Install dependencies using Poetry +RUN poetry install --no-root --no-interaction --no-ansi + +# Copy the rest of the application +COPY . . + +ENV OPENAI_API_KEY=${OPENAI_API_KEY} + +CMD ["poetry", "run", "start"] \ No newline at end of file diff --git a/backend/LINT.md b/backend/LINT.md new file mode 100644 index 0000000..85ae6b1 --- /dev/null +++ b/backend/LINT.md @@ -0,0 +1,14 @@ +# Format code +black qllm example tests + +# Check import order +isort --check-only qllm example tests + +# Fix import order +isort qllm example tests + +# Lint with Flake8 +flake8 qllm example tests + +# Type-check with Mypy +mypy qllm example diff --git a/backend/data/.gitkeep b/backend/data/.gitkeep new file mode 100644 index 0000000..e69de29 diff --git a/backend/example/dev.py b/backend/example/dev.py new file mode 100644 index 0000000..2c4f265 --- /dev/null +++ b/backend/example/dev.py @@ -0,0 +1,3 @@ +from qllm.models import Base + +print("All table: ", Base.metadata.tables) diff --git a/backend/example/ingest_data.py b/backend/example/ingest_data.py new file mode 100644 index 0000000..2b8d605 --- /dev/null +++ b/backend/example/ingest_data.py @@ -0,0 +1,121 @@ +from enum import Enum +from uuid import uuid4 + +from faker import Faker +from sqlalchemy import create_engine +from sqlalchemy.exc import IntegrityError +from sqlalchemy.orm import Session, sessionmaker + +# Assuming models have been imported +from qllm.models.base import Base +from qllm.models.model import ( + Conversation, + Document, + MedicalRecord, + Message, + MessageRoleEnum, + MessageStatusEnum, + User, +) + +# Initialize Faker +fake = Faker() + + +# Enum helper +class MockEnum(Enum): + @classmethod + def random(cls): + return fake.random_element(cls) + + +# Mock Data Functions +def create_mock_user(dev: bool = False): + id = "ea7aaab2-ca20-4a95-a190-df99c4c5d72a" if dev else uuid4() + + return User( + id=id, + name=fake.name(), + email=fake.unique.email(), + password_hash=fake.sha256(), + age=fake.random_int(min=18, max=80), + gender=fake.random_element(["Male", "Female", "Other"]), + ) + + +def create_mock_conversation(user_id): + return Conversation( + id=uuid4(), + title=fake.sentence(nb_words=5), + user_id=user_id, + document_id=uuid4(), + ) + + +def create_mock_message(conversation_id): + return Message( + id=uuid4(), + conversation_id=conversation_id, + content=fake.text(max_nb_chars=200), + role=fake.random_element(MessageRoleEnum), + status=fake.random_element(MessageStatusEnum), + ) + + +def create_mock_document(): + return Document( + id=uuid4(), + url=fake.url(), + metadata_map={"key": fake.word()}, + ) + + +def create_mock_medical_record(user_id): + return MedicalRecord( + id=uuid4(), + user_id=user_id, + file_name=fake.file_name(extension="pdf"), + file_path=fake.file_path(depth=3, category=None), + description=fake.sentence(nb_words=10), + ) + + +# Bulk Data Generator +def generate_mock_data(session: Session, num_users=10): # type: ignore + is_dev = True + try: + for _ in range(num_users): + user = create_mock_user(is_dev) + if is_dev: + is_dev = False + + session.add(user) + session.flush() + + for _ in range(fake.random_int(min=1, max=3)): + conversation = create_mock_conversation(user_id=user.id) + session.add(conversation) + session.flush() + + for _ in range(fake.random_int(min=1, max=5)): + message = create_mock_message(conversation_id=conversation.id) + session.add(message) + + for _ in range(fake.random_int(min=1, max=2)): + medical_record = create_mock_medical_record(user_id=user.id) + session.add(medical_record) + + session.commit() + print("Mock data generated successfully.") + except IntegrityError as e: + session.rollback() + print(f"Error generating mock data: {e}") + + +# Create a new database connection (PostgreSQL in this case) +engine = create_engine("postgresql://qllm:qllm@127.0.0.1/qllm") +Session = sessionmaker(bind=engine) +session = Session() + + +generate_mock_data(session=session, num_users=10) diff --git a/backend/example/setup_vector_store.py b/backend/example/setup_vector_store.py new file mode 100644 index 0000000..b3088ae --- /dev/null +++ b/backend/example/setup_vector_store.py @@ -0,0 +1,75 @@ +import os +from datetime import timedelta +from typing import Optional + +from cachetools import TTLCache, cached +from llama_index.core import SimpleDirectoryReader, load_index_from_storage +from llama_index.core.storage import StorageContext +from llama_index.core.vector_stores.types import VectorStore +from qdrant_client import QdrantClient + + +@cached( + TTLCache(maxsize=10, ttl=timedelta(minutes=5).total_seconds()), + key=lambda *args, **kwargs: "global_storage_context", +) +def get_storage_context( + persist_dir: Optional[str], + vector_store: Optional[VectorStore], +): + return StorageContext.from_defaults( + persist_dir=persist_dir, vector_store=vector_store + ) + + +def get_index( + persist_dir: Optional[str] = None, + vector_store: Optional[VectorStore] = None, +): + if not os.path.exists(persist_dir): + persist_dir = None + + storage_context = get_storage_context( + persist_dir=None, + vector_store=vector_store, + ) + index = load_index_from_storage( + storage_context=storage_context, + ) + return index + + +def insert_into_index(index, filepath): + try: + documents = SimpleDirectoryReader(filepath).load_data()[0] + + index.insert(documents) + print(f"Document inserted and index persisted successfully.") + except Exception as e: + print(f"Error during document insertion: {e}", exc_info=True) + + +def main(): + from llama_index.core import VectorStoreIndex + from llama_index.vector_stores.qdrant import QdrantVectorStore + + documents = SimpleDirectoryReader("./data/").load_data() + + client = QdrantClient(host="localhost", port=6333) + vector_store = QdrantVectorStore( + "document", + client=client, + batch_size=20, + ) + storage_context = StorageContext.from_defaults(vector_store=vector_store) + index = VectorStoreIndex.from_documents( + documents, + storage_context=storage_context, + ) + index.storage_context.persist("/storage") + + print("Successfully.") + + +if __name__ == "__main__": + main() diff --git a/backend/mypy.ini b/backend/mypy.ini new file mode 100644 index 0000000..9ecf398 --- /dev/null +++ b/backend/mypy.ini @@ -0,0 +1,3 @@ +[mypy] +files = qllm +ignore_missing_imports = True diff --git a/backend/notebooks/evaluate.ipynb b/backend/notebooks/evaluate.ipynb new file mode 100644 index 0000000..4634476 --- /dev/null +++ b/backend/notebooks/evaluate.ipynb @@ -0,0 +1,2053 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "-qyNfWI2--pl" + }, + "outputs": [], + "source": [ + "%pip install qdrant_client llama-index llama-index-vector-stores-qdrant llama-index-llms-openai llama-index-agent-openai\n", + "%pip install datasets" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "id": "-_OWnvIYCa2-" + }, + "outputs": [], + "source": [ + "import nest_asyncio\n", + "\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "FNpw4ewT-fSz", + "outputId": "580fa7e0-ce1a-4bd9-b144-ea887c83cfc9" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:llama_index.vector_stores.qdrant.base:Both client and aclient are provided. If using `:memory:` mode, the data between clients is not synced.\n" + ] + } + ], + "source": [ + "import os\n", + "from llama_index.core.vector_stores.types import VectorStore\n", + "from llama_index.vector_stores.qdrant import QdrantVectorStore\n", + "from qdrant_client import QdrantClient, AsyncQdrantClient\n", + "\n", + "\n", + "def get_vector_store() -> VectorStore:\n", + " COLLECTION_NAME = \"document\"\n", + "\n", + " aclient = AsyncQdrantClient(\n", + " url=\"https://6a4f58ad-84bd-4868-b9ec-48fdb5c59ef3.europe-west3-0.gcp.cloud.qdrant.io:6333\",\n", + " api_key=os.getenv('QDRANT_API_KEY'),\n", + " )\n", + " client = QdrantClient(\n", + " url=\"https://6a4f58ad-84bd-4868-b9ec-48fdb5c59ef3.europe-west3-0.gcp.cloud.qdrant.io:6333\",\n", + " api_key=os.getenv('QDRANT_API_KEY'),\n", + " )\n", + "\n", + " return QdrantVectorStore(\n", + " client=client,\n", + " aclient=aclient,\n", + " collection_name=COLLECTION_NAME,\n", + " )\n", + "\n", + "qdrant_store = get_vector_store()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "w8C0r9vxDCff", + "outputId": "726f5c52-0a7b-4c70-eadf-de1ac0d6e6ad" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Existing collection 'document' deleted.\n", + "New collection 'document' created.\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from qdrant_client import QdrantClient, models\n", + "from qdrant_client.http.exceptions import UnexpectedResponse\n", + "\n", + "def init_qdrant():\n", + " \"\"\"\n", + " Initialize Qdrant client, remove the existing 'document' collection (if it exists),\n", + " and create a new 'document' collection.\n", + " \"\"\"\n", + " client = QdrantClient(\n", + " url=\"https://6a4f58ad-84bd-4868-b9ec-48fdb5c59ef3.europe-west3-0.gcp.cloud.qdrant.io:6333\",\n", + " api_key=userdata.get('QDRANT_API_KEY'),\n", + " )\n", + "\n", + " # Check if the collection exists and delete it if it does\n", + " try:\n", + " client.delete_collection(collection_name=\"document\")\n", + " print(\"Existing collection 'document' deleted.\")\n", + " except UnexpectedResponse as e:\n", + " if \"404\" not in str(e):\n", + " # If the error is not a 404 (collection not found), re-raise the exception\n", + " raise e\n", + " # If the collection doesn't exist, no action is needed\n", + " print(\"Collection 'document' does not exist. Proceeding to create it.\")\n", + "\n", + " # Create a new 'document' collection\n", + " client.create_collection(\n", + " collection_name=\"document\",\n", + " vectors_config=models.VectorParams(\n", + " size=1536, distance=models.Distance.COSINE\n", + " ),\n", + " )\n", + " print(\"New collection 'document' created.\")\n", + "\n", + " return client\n", + "\n", + "init_qdrant()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "id": "t6x64cPJ_rpV" + }, + "outputs": [], + "source": [ + "import os\n", + "from datetime import datetime\n", + "from typing import List, Optional\n", + "from llama_index.core.agent import AgentRunner\n", + "from llama_index.core.callbacks import CallbackManager\n", + "from llama_index.core.settings import Settings\n", + "from llama_index.core import VectorStoreIndex\n", + "from llama_index.core.tools import BaseTool, QueryEngineTool\n", + "from llama_index.core.chat_engine.types import ChatMessage\n", + "\n", + "# Initialize basic components\n", + "def get_chat_engine(vector_store=None):\n", + " SYSTEM_PROMPT = os.getenv(\"SYSTEM_PROMPT\", \"You are a helpful assistant.\")\n", + " tools: List[BaseTool] = []\n", + "\n", + " # Create index from vector store if provided\n", + " if vector_store is not None:\n", + " index = VectorStoreIndex.from_vector_store(vector_store=vector_store)\n", + " query_engine = index.as_query_engine()\n", + " query_tool = QueryEngineTool.from_defaults(query_engine=query_engine)\n", + " tools.append(query_tool)\n", + "\n", + " return AgentRunner.from_llm(\n", + " llm=Settings.llm,\n", + " tools=tools,\n", + " system_prompt=SYSTEM_PROMPT,\n", + " verbose=True,\n", + " )\n", + "\n", + "# Function to simulate a chat interaction\n", + "async def chat_interaction(message: str, chat_history: List[ChatMessage] = None):\n", + " if chat_history is None:\n", + " chat_history = []\n", + "\n", + " chat_engine = get_chat_engine(qdrant_store)\n", + " chat_response = await chat_engine.achat(message, chat_history)\n", + "\n", + " return chat_response.response" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "nd1V627WAUZ1", + "outputId": "4b867798-5a81-4fbf-997f-54e4c05a3861" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Added user message to memory: Hello, how are you?\n", + "Response: Hello! I'm here and ready to assist you. How can I help you today?\n", + "Added user message to memory: Tell me more about machine learning\n", + "=== Calling Function ===\n", + "Calling function: query_engine_tool with args: {\"input\":\"Machine learning\"}\n", + "Got output: Empty Response\n", + "========================\n", + "\n", + "Response with history: Machine learning is a subset of artificial intelligence that focuses on the development of algorithms and models that allow computers to learn from and make predictions or decisions based on data. It involves the use of statistical techniques to enable machines to improve their performance on a specific task without being explicitly programmed. Machine learning is widely used in various applications such as image recognition, natural language processing, and recommendation systems.\n" + ] + } + ], + "source": [ + "async def main():\n", + " # Test single message\n", + " response = await chat_interaction(\"Hello, how are you?\")\n", + " print(\"Response:\", response)\n", + "\n", + " # Test with chat history\n", + " history = [\n", + " ChatMessage(role=\"user\", content=\"What is AI?\"),\n", + " ChatMessage(role=\"assistant\", content=\"AI is artificial intelligence...\")\n", + " ]\n", + " response = await chat_interaction(\"Tell me more about machine learning\", history)\n", + " print(\"Response with history:\", response)\n", + "\n", + "# Run the async function\n", + "import asyncio\n", + "asyncio.run(main())" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "id": "LYx8ydx1C2iX" + }, + "outputs": [], + "source": [ + "from llama_index.llms.openai import OpenAI\n", + "from llama_index.embeddings.openai import OpenAIEmbedding\n", + "\n", + "Settings.llm = OpenAI(\n", + " model=\"gpt-4o-mini\",\n", + " temperature=0.1,\n", + " max_tokens=512,\n", + ")\n", + "\n", + "Settings.embed_model = OpenAIEmbedding(\n", + " model=\"text-embedding-3-small\",\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "id": "sPmdl_EZFg0v" + }, + "outputs": [], + "source": [ + "import os\n", + "import pandas as pd\n", + "import numpy as np\n", + "from typing import List, Dict\n", + "from llama_index.core.evaluation import (\n", + " QueryResponseEvaluator,\n", + " RelevancyEvaluator,\n", + " FaithfulnessEvaluator,\n", + " ContextRelevancyEvaluator\n", + ")\n", + "from llama_index.core.chat_engine.types import ChatMessage\n", + "from datasets import load_dataset\n", + "from tqdm import tqdm\n", + "from llama_index.core.schema import Document\n", + "\n", + "class MedicalChatbotEvaluator:\n", + " def __init__(self, chat_engine, vector_store=None):\n", + " self.chat_engine = chat_engine\n", + " self.vector_store = vector_store\n", + "\n", + " # Initialize evaluators\n", + " self.response_evaluator = QueryResponseEvaluator()\n", + " self.relevancy_evaluator = RelevancyEvaluator()\n", + " self.faithfulness_evaluator = FaithfulnessEvaluator()\n", + " self.context_relevancy_evaluator = ContextRelevancyEvaluator()\n", + "\n", + " async def evaluate_single_response(self,\n", + " question: str,\n", + " ground_truth: str,\n", + " chat_history: List[ChatMessage] = None) -> Dict:\n", + " \"\"\"Evaluate a single question-answer pair\"\"\"\n", + " try:\n", + " # Get response from chatbot\n", + " response = await self.chat_engine.achat(question, chat_history)\n", + "\n", + " # Extract contexts\n", + " contexts = []\n", + " if hasattr(response, 'source_nodes'):\n", + " contexts = [str(ctx.node.text) for ctx in response.source_nodes]\n", + " elif self.vector_store:\n", + " # If no source nodes but vector store exists, get relevant documents\n", + " results = self.vector_store.similarity_search(question, k=3)\n", + " contexts = [str(doc.text) for doc in results]\n", + "\n", + " # Ensure we have at least one context\n", + " if not contexts:\n", + " contexts = [response.response] # Use response as context if no other context available\n", + "\n", + " # Run evaluations\n", + " response_quality = await self.response_evaluator.aevaluate(\n", + " query=question,\n", + " response=response.response,\n", + " ground_truth=ground_truth\n", + " )\n", + "\n", + " relevancy_score = await self.relevancy_evaluator.aevaluate(\n", + " query=question,\n", + " response=response.response,\n", + " contexts=contexts\n", + " )\n", + "\n", + " faithfulness_score = await self.faithfulness_evaluator.aevaluate(\n", + " query=question,\n", + " response=response.response,\n", + " contexts=contexts\n", + " )\n", + "\n", + " context_relevancy = await self.context_relevancy_evaluator.aevaluate(\n", + " query=question,\n", + " contexts=contexts\n", + " )\n", + "\n", + " return {\n", + " 'question': question,\n", + " 'response': response.response,\n", + " 'ground_truth': ground_truth,\n", + " 'response_quality': response_quality.score,\n", + " 'relevancy': relevancy_score.score,\n", + " 'faithfulness': faithfulness_score.score,\n", + " 'context_relevancy': context_relevancy.score,\n", + " 'sources_used': len(contexts)\n", + " }\n", + " except Exception as e:\n", + " print(f\"Error evaluating question: {question}\")\n", + " print(f\"Error: {str(e)}\")\n", + " return {\n", + " 'question': question,\n", + " 'response': None,\n", + " 'ground_truth': ground_truth,\n", + " 'response_quality': 0.0,\n", + " 'relevancy': 0.0,\n", + " 'faithfulness': 0.0,\n", + " 'context_relevancy': 0.0,\n", + " 'sources_used': 0\n", + " }\n", + "\n", + " async def evaluate_dataset(self, dataset_name: str = \"bigbio/med_qa\", split: str = \"test\"):\n", + " \"\"\"Evaluate using a HuggingFace dataset\"\"\"\n", + " try:\n", + " # Load dataset\n", + " dataset = load_dataset(dataset_name, 'med_qa_en_source', split=split, trust_remote_code=True)\n", + " results = []\n", + "\n", + " for item in tqdm(dataset):\n", + " try:\n", + " # Adapt this according to your dataset structure\n", + " question = item['question']\n", + " ground_truth = item['answer']\n", + "\n", + " result = await self.evaluate_single_response(question, ground_truth)\n", + " results.append(result)\n", + " except Exception as e:\n", + " print(f\"Error processing item: {item}\")\n", + " print(f\"Error: {str(e)}\")\n", + " continue\n", + "\n", + " return pd.DataFrame([r for r in results if r is not None])\n", + " except Exception as e:\n", + " print(f\"Error loading dataset: {str(e)}\")\n", + " return pd.DataFrame()\n", + "\n", + " def calculate_metrics(self, results_df: pd.DataFrame) -> Dict:\n", + " \"\"\"Calculate aggregate metrics\"\"\"\n", + " if results_df.empty:\n", + " return {\n", + " 'avg_response_quality': 0.0,\n", + " 'avg_relevancy': 0.0,\n", + " 'avg_faithfulness': 0.0,\n", + " 'avg_context_relevancy': 0.0,\n", + " 'avg_sources_used': 0.0,\n", + " 'std_response_quality': 0.0,\n", + " 'std_relevancy': 0.0,\n", + " 'std_faithfulness': 0.0,\n", + " 'std_context_relevancy': 0.0\n", + " }\n", + "\n", + " metrics = {\n", + " 'avg_response_quality': results_df['response_quality'].mean(),\n", + " 'avg_relevancy': results_df['relevancy'].mean(),\n", + " 'avg_faithfulness': results_df['faithfulness'].mean(),\n", + " 'avg_context_relevancy': results_df['context_relevancy'].mean(),\n", + " 'avg_sources_used': results_df['sources_used'].mean(),\n", + " 'std_response_quality': results_df['response_quality'].std(),\n", + " 'std_relevancy': results_df['relevancy'].std(),\n", + " 'std_faithfulness': results_df['faithfulness'].std(),\n", + " 'std_context_relevancy': results_df['context_relevancy'].std()\n", + " }\n", + " return metrics" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "Zv2GLV_6GHgz", + "outputId": "55a11739-d4ca-4ec1-91c2-1f32952fb70e" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\r 0%| | 0/1273 [00:00\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 33\u001b[0m \u001b[0;31m# Run evaluation\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 34\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0masyncio\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 35\u001b[0;31m \u001b[0masyncio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/usr/local/lib/python3.11/dist-packages/nest_asyncio.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(main, debug)\u001b[0m\n\u001b[1;32m 28\u001b[0m \u001b[0mtask\u001b[0m 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evaluator.calculate_metrics(results_df)\n", + "\n", + " print(\"\\nOverall Metrics:\")\n", + " for metric, value in metrics.items():\n", + " print(f\"{metric}: {value:.3f}\")\n", + "\n", + " results_df.to_csv(\"evaluation_results.csv\", index=False)\n", + "\n", + " plt.figure(figsize=(12, 6))\n", + " metrics_to_plot = ['response_quality', 'relevancy', 'faithfulness', 'context_relevancy']\n", + " plt.boxplot([results_df[metric] for metric in metrics_to_plot], labels=metrics_to_plot)\n", + " plt.title(\"Distribution of Evaluation Metrics\")\n", + " plt.ylabel(\"Score\")\n", + " plt.savefig(\"evaluation_metrics.png\")\n", + " plt.close()\n", + "\n", + "import asyncio\n", + "asyncio.run(main())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "xIRF_kA4GcWZ" + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "accelerator": "GPU", + "colab": { + "gpuType": "T4", + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + 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+python-versions = ">=3.11,<3.13" +content-hash = "e1a65a4f6cb8473ec9e0ec0fb68700594711c9e492ccf6449268aa8397c8169f" diff --git a/backend/pyproject.toml b/backend/pyproject.toml new file mode 100644 index 0000000..1efd618 --- /dev/null +++ b/backend/pyproject.toml @@ -0,0 +1,55 @@ +[tool.isort] +profile = "black" + +[tool.black] +line-length = 88 +target-version = ["py39"] + +[tool.poetry] +name = "qllm" +version = "0.1.0" +description = "" +authors = ["LongBaoCoder2 "] +readme = "README.md" + +[tool.poetry.dependencies] +python = ">=3.11,<3.13" +qdrant-client = "^1.12.1" +pymilvus = "^2.4.9" +mem0ai = "^0.1.30" +openai = "^1.55.0" +llama-index = "^0.12.1" +llama-index-memory-mem0 = "^0.2.0" +llama-index-vector-stores-qdrant = "^0.4.0" +llama-index-readers-file = "^0.4.0" +llama-index-embeddings-fastembed = "^0.3.0" +llama-index-llms-openai = "^0.3.1" +llama-index-agent-openai = "^0.4.0" +llama-index-core = "^0.12.1" +fastembed = "^0.4.2" +pydantic-settings = "^2.6.1" +psycopg2 = "^2.9.10" +pyjwt = "^2.10.1" +asyncpg = "^0.30.0" +python-jose = "^3.3.0" +passlib = "^1.7.4" +pydantic = {extras = ["email"], version = "^2.10.6"} +requests = "^2.32.3" +llama-index-readers-papers = "^0.3.0" + + +[tool.poetry.group.dev.dependencies] +black = "^24.10.0" +flake8 = "^7.1.1" +isort = "^5.13.2" +mypy = "^1.13.0" +pre-commit = "^4.0.1" +faker = "^33.1.0" + +[tool.poetry.scripts] +start = "qllm.main:start" +migrate_db = "qllm.main:migrate_db" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/backend/qllm/__init__.py b/backend/qllm/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qllm/alembic.ini b/backend/qllm/alembic.ini new file mode 100644 index 0000000..b9f90bf --- /dev/null +++ b/backend/qllm/alembic.ini @@ -0,0 +1,117 @@ +# A generic, single database configuration. + +[alembic] +# path to migration scripts +# Use forward slashes (/) also on windows to provide an os agnostic path +script_location = alembic + +# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s +# Uncomment the line below if you want the files to be prepended with date and time +# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file +# for all available tokens +# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s + +# sys.path path, will be prepended to sys.path if present. +# defaults to the current working directory. +prepend_sys_path = . + +# timezone to use when rendering the date within the migration file +# as well as the filename. +# If specified, requires the python>=3.9 or backports.zoneinfo library. +# Any required deps can installed by adding `alembic[tz]` to the pip requirements +# string value is passed to ZoneInfo() +# leave blank for localtime +# timezone = + +# max length of characters to apply to the "slug" field +# truncate_slug_length = 40 + +# set to 'true' to run the environment during +# the 'revision' command, regardless of autogenerate +# revision_environment = false + +# set to 'true' to allow .pyc and .pyo files without +# a source .py file to be detected as revisions in the +# versions/ directory +# sourceless = false + +# version location specification; This defaults +# to alembic/versions. When using multiple version +# directories, initial revisions must be specified with --version-path. +# The path separator used here should be the separator specified by "version_path_separator" below. +# version_locations = %(here)s/bar:%(here)s/bat:alembic/versions + +# version path separator; As mentioned above, this is the character used to split +# version_locations. The default within new alembic.ini files is "os", which uses os.pathsep. +# If this key is omitted entirely, it falls back to the legacy behavior of splitting on spaces and/or commas. +# Valid values for version_path_separator are: +# +# version_path_separator = : +# version_path_separator = ; +# version_path_separator = space +# version_path_separator = newline +version_path_separator = os # Use os.pathsep. Default configuration used for new projects. + +# set to 'true' to search source files recursively +# in each "version_locations" directory +# new in Alembic version 1.10 +# recursive_version_locations = false + +# the output encoding used when revision files +# are written from script.py.mako +# output_encoding = utf-8 + +sqlalchemy.url = postgresql://qllm:qllm@127.0.0.1:5432/qllm + + +[post_write_hooks] +# post_write_hooks defines scripts or Python functions that are run +# on newly generated revision scripts. See the documentation for further +# detail and examples + +# format using "black" - use the console_scripts runner, against the "black" entrypoint +# hooks = black +# black.type = console_scripts +# black.entrypoint = black +# black.options = -l 79 REVISION_SCRIPT_FILENAME + +# lint with attempts to fix using "ruff" - use the exec runner, execute a binary +# hooks = ruff +# ruff.type = exec +# ruff.executable = %(here)s/.venv/bin/ruff +# ruff.options = --fix REVISION_SCRIPT_FILENAME + +# Logging configuration +[loggers] +keys = root,sqlalchemy,alembic + +[handlers] +keys = console + +[formatters] +keys = generic + +[logger_root] +level = WARNING +handlers = console +qualname = + +[logger_sqlalchemy] +level = WARNING +handlers = +qualname = sqlalchemy.engine + +[logger_alembic] +level = INFO +handlers = +qualname = alembic + +[handler_console] +class = StreamHandler +args = (sys.stderr,) +level = NOTSET +formatter = generic + +[formatter_generic] +format = %(levelname)-5.5s [%(name)s] %(message)s +datefmt = %H:%M:%S diff --git a/backend/qllm/alembic/README b/backend/qllm/alembic/README new file mode 100644 index 0000000..2500aa1 --- /dev/null +++ b/backend/qllm/alembic/README @@ -0,0 +1 @@ +Generic single-database configuration. diff --git a/backend/qllm/alembic/env.py b/backend/qllm/alembic/env.py new file mode 100644 index 0000000..14133d4 --- /dev/null +++ b/backend/qllm/alembic/env.py @@ -0,0 +1,79 @@ +from logging.config import fileConfig + +from alembic import context +from sqlalchemy import engine_from_config, pool + +from qllm.core.config import settings +from qllm.models import Base + +# this is the Alembic Config object, which provides +# access to the values within the .ini file in use. +config = context.config +# Interpret the config file for Python logging. +# This line sets up loggers basically. +if config.config_file_name is not None: + fileConfig(config.config_file_name) + + +# add your model's MetaData object here +# for 'autogenerate' support + +target_metadata = Base.metadata +# other values from the config, defined by the needs of env.py, +# can be acquired: +# my_important_option = config.get_main_option("my_important_option") +# ... etc. +db_url = config.get_main_option("sqlalchemy.url") +# if settings.SQLALCHEMY_DATABASE_URI is not None: +# db_url = str(settings.SQLALCHEMY_DATABASE_URI) +# print(f"Using DATABASE_URL {db_url} from environment for migrations") +# config.set_main_option("sqlalchemy.url", db_url) + + +def run_migrations_offline() -> None: + """Run migrations in 'offline' mode. + + This configures the context with just a URL + and not an Engine, though an Engine is acceptable + here as well. By skipping the Engine creation + we don't even need a DBAPI to be available. + + Calls to context.execute() here emit the given string to the + script output. + + """ + context.configure( + url=config.get_main_option("sqlalchemy.url"), + target_metadata=target_metadata, + literal_binds=True, + dialect_opts={"paramstyle": "named"}, + ) + + with context.begin_transaction(): + context.run_migrations() + + +def run_migrations_online() -> None: + """Run migrations in 'online' mode. + + In this scenario we need to create an Engine + and associate a connection with the context. + + """ + connectable = engine_from_config( + config.get_section(config.config_ini_section, {}), + prefix="sqlalchemy.", + poolclass=pool.NullPool, + ) + + with connectable.connect() as connection: + context.configure(connection=connection, target_metadata=target_metadata) + + with context.begin_transaction(): + context.run_migrations() + + +if context.is_offline_mode(): + run_migrations_offline() +else: + run_migrations_online() diff --git a/backend/qllm/alembic/script.py.mako b/backend/qllm/alembic/script.py.mako new file mode 100644 index 0000000..fbc4b07 --- /dev/null +++ b/backend/qllm/alembic/script.py.mako @@ -0,0 +1,26 @@ +"""${message} + +Revision ID: ${up_revision} +Revises: ${down_revision | comma,n} +Create Date: ${create_date} + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +${imports if imports else ""} + +# revision identifiers, used by Alembic. +revision: str = ${repr(up_revision)} +down_revision: Union[str, None] = ${repr(down_revision)} +branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)} +depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)} + + +def upgrade() -> None: + ${upgrades if upgrades else "pass"} + + +def downgrade() -> None: + ${downgrades if downgrades else "pass"} diff --git a/backend/qllm/alembic/versions/0a26dbae5dec_sync_data_schema.py b/backend/qllm/alembic/versions/0a26dbae5dec_sync_data_schema.py new file mode 100644 index 0000000..58b7ff2 --- /dev/null +++ b/backend/qllm/alembic/versions/0a26dbae5dec_sync_data_schema.py @@ -0,0 +1,30 @@ +"""Sync data schema + +Revision ID: 0a26dbae5dec +Revises: 322814d347c8 +Create Date: 2024-12-11 15:17:45.311631 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "0a26dbae5dec" +down_revision: Union[str, None] = "322814d347c8" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/10c4b390af9c_remove_id.py b/backend/qllm/alembic/versions/10c4b390af9c_remove_id.py new file mode 100644 index 0000000..5f799aa --- /dev/null +++ b/backend/qllm/alembic/versions/10c4b390af9c_remove_id.py @@ -0,0 +1,26 @@ +"""remove id + +Revision ID: 10c4b390af9c +Revises: 1c94ca6ef07a +Create Date: 2025-02-13 15:34:39.089832 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "10c4b390af9c" +down_revision: Union[str, None] = "1c94ca6ef07a" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + pass + + +def downgrade() -> None: + pass diff --git a/backend/qllm/alembic/versions/113ea238658a_sync_database_schema.py b/backend/qllm/alembic/versions/113ea238658a_sync_database_schema.py new file mode 100644 index 0000000..0e410a5 --- /dev/null +++ b/backend/qllm/alembic/versions/113ea238658a_sync_database_schema.py @@ -0,0 +1,97 @@ +"""Sync database schema + +Revision ID: 113ea238658a +Revises: aebe87a697e1 +Create Date: 2024-12-11 10:25:42.233595 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "113ea238658a" +down_revision: Union[str, None] = "aebe87a697e1" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "users", + sa.Column("name", sa.String(length=255), nullable=False), + sa.Column("email", sa.String(length=255), nullable=False), + sa.Column("password_hash", sa.String(length=255), nullable=False), + sa.Column("age", sa.Integer(), nullable=True), + sa.Column("gender", sa.String(length=50), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("email"), + ) + op.create_index(op.f("ix_users_id"), "users", ["id"], unique=False) + op.create_table( + "conversations", + sa.Column("title", sa.String(length=255), nullable=False), + sa.Column("user_id", sa.UUID(), nullable=False), + sa.Column( + "messages", + sa.JSON().with_variant(sa.PickleType(), "sqlite"), + nullable=False, + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["users.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index(op.f("ix_conversations_id"), "conversations", ["id"], unique=False) + op.create_table( + "medical_records", + sa.Column("user_id", sa.UUID(), nullable=False), + sa.Column("file_name", sa.String(length=255), nullable=False), + sa.Column("file_path", sa.Text(), nullable=False), + sa.Column("description", sa.Text(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["users.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_medical_records_id"), "medical_records", ["id"], unique=False + ) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_index(op.f("ix_medical_records_id"), table_name="medical_records") + op.drop_table("medical_records") + op.drop_index(op.f("ix_conversations_id"), table_name="conversations") + op.drop_table("conversations") + op.drop_index(op.f("ix_users_id"), table_name="users") + op.drop_table("users") + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/11a619e24bd5_sync_data_schema.py b/backend/qllm/alembic/versions/11a619e24bd5_sync_data_schema.py new file mode 100644 index 0000000..1b08aeb --- /dev/null +++ b/backend/qllm/alembic/versions/11a619e24bd5_sync_data_schema.py @@ -0,0 +1,30 @@ +"""Sync data schema + +Revision ID: 11a619e24bd5 +Revises: 0a26dbae5dec +Create Date: 2024-12-11 15:18:25.945606 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "11a619e24bd5" +down_revision: Union[str, None] = "0a26dbae5dec" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/1c94ca6ef07a_add_id_to_user.py b/backend/qllm/alembic/versions/1c94ca6ef07a_add_id_to_user.py new file mode 100644 index 0000000..abd75f0 --- /dev/null +++ b/backend/qllm/alembic/versions/1c94ca6ef07a_add_id_to_user.py @@ -0,0 +1,26 @@ +"""add_id_to_user + +Revision ID: 1c94ca6ef07a +Revises: 24c2375cc7e7 +Create Date: 2025-02-13 15:03:15.593766 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "1c94ca6ef07a" +down_revision: Union[str, None] = "24c2375cc7e7" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + pass + + +def downgrade() -> None: + pass diff --git a/backend/qllm/alembic/versions/24c2375cc7e7_sync_data_schema.py b/backend/qllm/alembic/versions/24c2375cc7e7_sync_data_schema.py new file mode 100644 index 0000000..883e06e --- /dev/null +++ b/backend/qllm/alembic/versions/24c2375cc7e7_sync_data_schema.py @@ -0,0 +1,34 @@ +"""Sync data schema + +Revision ID: 24c2375cc7e7 +Revises: 11a619e24bd5 +Create Date: 2024-12-11 15:53:23.235474 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "24c2375cc7e7" +down_revision: Union[str, None] = "11a619e24bd5" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.alter_column( + "conversation", "document_id", existing_type=sa.UUID(), nullable=True + ) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.alter_column( + "conversation", "document_id", existing_type=sa.UUID(), nullable=False + ) + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/2ce2747b86a2_sync_data_schema.py b/backend/qllm/alembic/versions/2ce2747b86a2_sync_data_schema.py new file mode 100644 index 0000000..f33d9d3 --- /dev/null +++ b/backend/qllm/alembic/versions/2ce2747b86a2_sync_data_schema.py @@ -0,0 +1,230 @@ +"""Sync data schema + +Revision ID: 2ce2747b86a2 +Revises: 7db228edf6fa +Create Date: 2024-12-11 15:05:17.314907 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "2ce2747b86a2" +down_revision: Union[str, None] = "7db228edf6fa" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "document", + sa.Column("url", sa.String(), nullable=False), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("url"), + ) + op.create_index(op.f("ix_document_id"), "document", ["id"], unique=False) + op.create_table( + "user", + sa.Column("name", sa.String(), nullable=False), + sa.Column("email", sa.String(), nullable=False), + sa.Column("password_hash", sa.String(), nullable=False), + sa.Column("age", sa.Integer(), nullable=True), + sa.Column("gender", sa.String(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("email"), + ) + op.create_index(op.f("ix_user_id"), "user", ["id"], unique=False) + op.create_table( + "conversation", + sa.Column("document_id", sa.UUID(), nullable=False), + sa.Column("title", sa.String(), nullable=False), + sa.Column("user_id", sa.UUID(), nullable=False), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["user.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index(op.f("ix_conversation_id"), "conversation", ["id"], unique=False) + op.create_table( + "medical_records", + sa.Column("user_id", sa.UUID(), nullable=False), + sa.Column("file_name", sa.String(length=255), nullable=False), + sa.Column("file_path", sa.Text(), nullable=False), + sa.Column("description", sa.Text(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["user.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_medical_records_id"), "medical_records", ["id"], unique=False + ) + op.create_table( + "conversationdocument", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("document_id", sa.UUID(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.ForeignKeyConstraint( + ["document_id"], + ["document.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_conversationdocument_conversation_id"), + "conversationdocument", + ["conversation_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_document_id"), + "conversationdocument", + ["document_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_id"), "conversationdocument", ["id"], unique=False + ) + op.create_table( + "message", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("content", sa.String(), nullable=True), + sa.Column( + "role", + postgresql.ENUM("USER", "ASSISTANT", name="MessageRoleEnum"), + nullable=False, + ), + sa.Column( + "status", + postgresql.ENUM("PENDING", "SUCCESS", "ERROR", name="MessageStatusEnum"), + nullable=False, + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_message_conversation_id"), "message", ["conversation_id"], unique=False + ) + op.create_index(op.f("ix_message_id"), "message", ["id"], unique=False) + op.create_table( + "messagesubprocess", + sa.Column("message_id", sa.UUID(), nullable=True), + sa.Column( + "status", + postgresql.ENUM("PENDING", "FINISHED", name="MessageSubProcessStatusEnum"), + nullable=False, + ), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["message_id"], + ["message.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_messagesubprocess_id"), "messagesubprocess", ["id"], unique=False + ) + op.create_index( + op.f("ix_messagesubprocess_message_id"), + "messagesubprocess", + ["message_id"], + unique=False, + ) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_index( + op.f("ix_messagesubprocess_message_id"), table_name="messagesubprocess" + ) + op.drop_index(op.f("ix_messagesubprocess_id"), table_name="messagesubprocess") + op.drop_table("messagesubprocess") + op.drop_index(op.f("ix_message_id"), table_name="message") + op.drop_index(op.f("ix_message_conversation_id"), table_name="message") + op.drop_table("message") + op.drop_index(op.f("ix_conversationdocument_id"), table_name="conversationdocument") + op.drop_index( + op.f("ix_conversationdocument_document_id"), table_name="conversationdocument" + ) + op.drop_index( + op.f("ix_conversationdocument_conversation_id"), + table_name="conversationdocument", + ) + op.drop_table("conversationdocument") + op.drop_index(op.f("ix_medical_records_id"), table_name="medical_records") + op.drop_table("medical_records") + op.drop_index(op.f("ix_conversation_id"), table_name="conversation") + op.drop_table("conversation") + op.drop_index(op.f("ix_user_id"), table_name="user") + op.drop_table("user") + op.drop_index(op.f("ix_document_id"), table_name="document") + op.drop_table("document") + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/322814d347c8_sync_data_schema.py b/backend/qllm/alembic/versions/322814d347c8_sync_data_schema.py new file mode 100644 index 0000000..5eda25c --- /dev/null +++ b/backend/qllm/alembic/versions/322814d347c8_sync_data_schema.py @@ -0,0 +1,30 @@ +"""Sync data schema + +Revision ID: 322814d347c8 +Revises: 2ce2747b86a2 +Create Date: 2024-12-11 15:17:14.447031 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "322814d347c8" +down_revision: Union[str, None] = "2ce2747b86a2" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/35092bb8bcd0_sync_data_schema.py b/backend/qllm/alembic/versions/35092bb8bcd0_sync_data_schema.py new file mode 100644 index 0000000..f0cebab --- /dev/null +++ b/backend/qllm/alembic/versions/35092bb8bcd0_sync_data_schema.py @@ -0,0 +1,281 @@ +"""Sync data schema + +Revision ID: 35092bb8bcd0 +Revises: 7d780aef4247 +Create Date: 2024-12-11 11:46:50.250520 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "35092bb8bcd0" +down_revision: Union[str, None] = "7d780aef4247" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "document", + sa.Column("url", sa.String(), nullable=False), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("url"), + ) + op.create_index(op.f("ix_document_id"), "document", ["id"], unique=False) + op.create_table( + "user", + sa.Column("name", sa.String(), nullable=False), + sa.Column("email", sa.String(), nullable=False), + sa.Column("password_hash", sa.String(), nullable=False), + sa.Column("age", sa.Integer(), nullable=True), + sa.Column("gender", sa.String(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("email"), + ) + op.create_index(op.f("ix_user_id"), "user", ["id"], unique=False) + op.create_table( + "conversation", + sa.Column("document_id", sa.UUID(), nullable=False), + sa.Column("title", sa.String(), nullable=False), + sa.Column("user_id", sa.UUID(), nullable=False), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["user.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index(op.f("ix_conversation_id"), "conversation", ["id"], unique=False) + op.create_table( + "conversationdocument", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("document_id", sa.UUID(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.ForeignKeyConstraint( + ["document_id"], + ["document.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_conversationdocument_conversation_id"), + "conversationdocument", + ["conversation_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_document_id"), + "conversationdocument", + ["document_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_id"), "conversationdocument", ["id"], unique=False + ) + op.create_table( + "message", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("content", sa.String(), nullable=True), + sa.Column( + "role", + postgresql.ENUM("USER", "ASSISTANT", name="MessageRoleEnum"), + nullable=False, + ), + sa.Column( + "status", + postgresql.ENUM("PENDING", "SUCCESS", "ERROR", name="MessageStatusEnum"), + nullable=False, + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_message_conversation_id"), "message", ["conversation_id"], unique=False + ) + op.create_index(op.f("ix_message_id"), "message", ["id"], unique=False) + op.create_table( + "messagesubprocess", + sa.Column("message_id", sa.UUID(), nullable=True), + sa.Column( + "status", + postgresql.ENUM("PENDING", "FINISHED", name="MessageSubProcessStatusEnum"), + nullable=False, + ), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["message_id"], + ["message.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_messagesubprocess_id"), "messagesubprocess", ["id"], unique=False + ) + op.create_index( + op.f("ix_messagesubprocess_message_id"), + "messagesubprocess", + ["message_id"], + unique=False, + ) + op.drop_index("ix_users_id", table_name="users") + op.drop_table("users") + op.drop_index("ix_conversations_id", table_name="conversations") + op.drop_table("conversations") + op.create_unique_constraint( + "unique_user_file", "medical_records", ["user_id", "file_path"] + ) + op.drop_constraint( + "medical_records_user_id_fkey", "medical_records", type_="foreignkey" + ) + op.create_foreign_key(None, "medical_records", "user", ["user_id"], ["id"]) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_constraint(None, "medical_records", type_="foreignkey") + op.create_foreign_key( + "medical_records_user_id_fkey", "medical_records", "users", ["user_id"], ["id"] + ) + op.drop_constraint("unique_user_file", "medical_records", type_="unique") + op.create_table( + "conversations", + sa.Column("title", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "messages", + postgresql.JSON(astext_type=sa.Text()), + autoincrement=False, + nullable=True, + ), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["users.id"], name="conversations_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="conversations_pkey"), + ) + op.create_index("ix_conversations_id", "conversations", ["id"], unique=False) + op.create_table( + "users", + sa.Column("name", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("email", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column( + "password_hash", sa.VARCHAR(length=255), autoincrement=False, nullable=False + ), + sa.Column("age", sa.INTEGER(), autoincrement=False, nullable=True), + sa.Column("gender", sa.VARCHAR(length=50), autoincrement=False, nullable=True), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.PrimaryKeyConstraint("id", name="users_pkey"), + sa.UniqueConstraint("email", name="users_email_key"), + ) + op.create_index("ix_users_id", "users", ["id"], unique=False) + op.drop_index( + op.f("ix_messagesubprocess_message_id"), table_name="messagesubprocess" + ) + op.drop_index(op.f("ix_messagesubprocess_id"), table_name="messagesubprocess") + op.drop_table("messagesubprocess") + op.drop_index(op.f("ix_message_id"), table_name="message") + op.drop_index(op.f("ix_message_conversation_id"), table_name="message") + op.drop_table("message") + op.drop_index(op.f("ix_conversationdocument_id"), table_name="conversationdocument") + op.drop_index( + op.f("ix_conversationdocument_document_id"), table_name="conversationdocument" + ) + op.drop_index( + op.f("ix_conversationdocument_conversation_id"), + table_name="conversationdocument", + ) + op.drop_table("conversationdocument") + op.drop_index(op.f("ix_conversation_id"), table_name="conversation") + op.drop_table("conversation") + op.drop_index(op.f("ix_user_id"), table_name="user") + op.drop_table("user") + op.drop_index(op.f("ix_document_id"), table_name="document") + op.drop_table("document") + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/36452382a402_sync_data_schema.py b/backend/qllm/alembic/versions/36452382a402_sync_data_schema.py new file mode 100644 index 0000000..5dc358a --- /dev/null +++ b/backend/qllm/alembic/versions/36452382a402_sync_data_schema.py @@ -0,0 +1,124 @@ +"""Sync data schema + +Revision ID: 36452382a402 +Revises: 8c2b1fabe162 +Create Date: 2024-12-11 15:02:06.716872 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "36452382a402" +down_revision: Union[str, None] = "8c2b1fabe162" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_index("ix_medical_records_id", table_name="medical_records") + op.drop_table("medical_records") + op.drop_index("ix_users_id", table_name="users") + op.drop_table("users") + op.drop_index("ix_conversations_id", table_name="conversations") + op.drop_table("conversations") + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "conversations", + sa.Column("title", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "messages", + postgresql.JSON(astext_type=sa.Text()), + autoincrement=False, + nullable=True, + ), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["users.id"], name="conversations_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="conversations_pkey"), + ) + op.create_index("ix_conversations_id", "conversations", ["id"], unique=False) + op.create_table( + "users", + sa.Column("name", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("email", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column( + "password_hash", sa.VARCHAR(length=255), autoincrement=False, nullable=False + ), + sa.Column("age", sa.INTEGER(), autoincrement=False, nullable=True), + sa.Column("gender", sa.VARCHAR(length=50), autoincrement=False, nullable=True), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.PrimaryKeyConstraint("id", name="users_pkey"), + sa.UniqueConstraint("email", name="users_email_key"), + postgresql_ignore_search_path=False, + ) + op.create_index("ix_users_id", "users", ["id"], unique=False) + op.create_table( + "medical_records", + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "file_name", sa.VARCHAR(length=255), autoincrement=False, nullable=False + ), + sa.Column("file_path", sa.TEXT(), autoincrement=False, nullable=False), + sa.Column("description", sa.TEXT(), autoincrement=False, nullable=True), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["users.id"], name="medical_records_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="medical_records_pkey"), + ) + op.create_index("ix_medical_records_id", "medical_records", ["id"], unique=False) + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/56475328e32f_sync_data_schema.py b/backend/qllm/alembic/versions/56475328e32f_sync_data_schema.py new file mode 100644 index 0000000..dbb6eab --- /dev/null +++ b/backend/qllm/alembic/versions/56475328e32f_sync_data_schema.py @@ -0,0 +1,87 @@ +"""Sync data schema + +Revision ID: 56475328e32f +Revises: 113ea238658a +Create Date: 2024-12-11 10:31:07.032341 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "56475328e32f" +down_revision: Union[str, None] = "113ea238658a" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.alter_column( + "conversations", + "id", + existing_type=sa.UUID(), + type_=sa.String(), + existing_nullable=False, + ) + op.alter_column( + "conversations", + "user_id", + existing_type=sa.UUID(), + type_=sa.String(), + existing_nullable=False, + ) + op.alter_column( + "conversations", + "messages", + existing_type=postgresql.JSON(astext_type=sa.Text()), + nullable=True, + ) + op.drop_index("ix_conversations_id", table_name="conversations") + op.alter_column( + "users", + "id", + existing_type=sa.UUID(), + type_=sa.String(), + existing_nullable=False, + ) + op.drop_index("ix_users_id", table_name="users") + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_index("ix_users_id", "users", ["id"], unique=False) + op.alter_column( + "users", + "id", + existing_type=sa.String(), + type_=sa.UUID(), + existing_nullable=False, + ) + op.create_index("ix_conversations_id", "conversations", ["id"], unique=False) + op.alter_column( + "conversations", + "messages", + existing_type=postgresql.JSON(astext_type=sa.Text()), + nullable=False, + ) + op.alter_column( + "conversations", + "user_id", + existing_type=sa.String(), + type_=sa.UUID(), + existing_nullable=False, + ) + op.alter_column( + "conversations", + "id", + existing_type=sa.String(), + type_=sa.UUID(), + existing_nullable=False, + ) + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/58dc3b337ee4_sync_data_schema.py b/backend/qllm/alembic/versions/58dc3b337ee4_sync_data_schema.py new file mode 100644 index 0000000..3504700 --- /dev/null +++ b/backend/qllm/alembic/versions/58dc3b337ee4_sync_data_schema.py @@ -0,0 +1,30 @@ +"""Sync data schema + +Revision ID: 58dc3b337ee4 +Revises: 83b55047b9d4 +Create Date: 2024-12-11 10:35:53.964921 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "58dc3b337ee4" +down_revision: Union[str, None] = "83b55047b9d4" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/6c74c3d3939b_sync_database_schema.py b/backend/qllm/alembic/versions/6c74c3d3939b_sync_database_schema.py new file mode 100644 index 0000000..0d37844 --- /dev/null +++ b/backend/qllm/alembic/versions/6c74c3d3939b_sync_database_schema.py @@ -0,0 +1,155 @@ +"""Sync database schema + +Revision ID: 6c74c3d3939b +Revises: c3308de4a9cd +Create Date: 2024-12-11 10:14:41.894868 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "6c74c3d3939b" +down_revision: Union[str, None] = "c3308de4a9cd" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_index("ix_chat_conversations_id", table_name="chat_conversations") + op.drop_table("chat_conversations") + op.drop_index("ix_medical_records_id", table_name="medical_records") + op.drop_table("medical_records") + op.drop_index("ix_chat_histories_id", table_name="chat_histories") + op.drop_table("chat_histories") + op.drop_index("ix_users_id", table_name="users") + op.drop_table("users") + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "users", + sa.Column("name", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("email", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column( + "password_hash", sa.VARCHAR(length=255), autoincrement=False, nullable=False + ), + sa.Column("age", sa.INTEGER(), autoincrement=False, nullable=True), + sa.Column("gender", sa.VARCHAR(length=50), autoincrement=False, nullable=True), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.PrimaryKeyConstraint("id", name="users_pkey"), + sa.UniqueConstraint("email", name="users_email_key"), + postgresql_ignore_search_path=False, + ) + op.create_index("ix_users_id", "users", ["id"], unique=False) + op.create_table( + "chat_histories", + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column("title", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["users.id"], name="chat_histories_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="chat_histories_pkey"), + postgresql_ignore_search_path=False, + ) + op.create_index("ix_chat_histories_id", "chat_histories", ["id"], unique=False) + op.create_table( + "medical_records", + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "file_name", sa.VARCHAR(length=255), autoincrement=False, nullable=False + ), + sa.Column("file_path", sa.TEXT(), autoincrement=False, nullable=False), + sa.Column("description", sa.TEXT(), autoincrement=False, nullable=True), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["users.id"], name="medical_records_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="medical_records_pkey"), + ) + op.create_index("ix_medical_records_id", "medical_records", ["id"], unique=False) + op.create_table( + "chat_conversations", + sa.Column("chat_history_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "messages", + postgresql.JSON(astext_type=sa.Text()), + autoincrement=False, + nullable=False, + ), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["chat_history_id"], + ["chat_histories.id"], + name="chat_conversations_chat_history_id_fkey", + ), + sa.PrimaryKeyConstraint("id", name="chat_conversations_pkey"), + ) + op.create_index( + "ix_chat_conversations_id", "chat_conversations", ["id"], unique=False + ) + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/6efbea0a004e_sync_data_schema.py b/backend/qllm/alembic/versions/6efbea0a004e_sync_data_schema.py new file mode 100644 index 0000000..083c098 --- /dev/null +++ b/backend/qllm/alembic/versions/6efbea0a004e_sync_data_schema.py @@ -0,0 +1,278 @@ +"""Sync data schema + +Revision ID: 6efbea0a004e +Revises: 35092bb8bcd0 +Create Date: 2024-12-11 11:47:40.203620 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "6efbea0a004e" +down_revision: Union[str, None] = "35092bb8bcd0" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "document", + sa.Column("url", sa.String(), nullable=False), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("url"), + ) + op.create_index(op.f("ix_document_id"), "document", ["id"], unique=False) + op.create_table( + "user", + sa.Column("name", sa.String(), nullable=False), + sa.Column("email", sa.String(), nullable=False), + sa.Column("password_hash", sa.String(), nullable=False), + sa.Column("age", sa.Integer(), nullable=True), + sa.Column("gender", sa.String(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("email"), + ) + op.create_index(op.f("ix_user_id"), "user", ["id"], unique=False) + op.create_table( + "conversation", + sa.Column("document_id", sa.UUID(), nullable=False), + sa.Column("title", sa.String(), nullable=False), + sa.Column("user_id", sa.UUID(), nullable=False), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["user.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index(op.f("ix_conversation_id"), "conversation", ["id"], unique=False) + op.create_table( + "conversationdocument", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("document_id", sa.UUID(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.ForeignKeyConstraint( + ["document_id"], + ["document.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_conversationdocument_conversation_id"), + "conversationdocument", + ["conversation_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_document_id"), + "conversationdocument", + ["document_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_id"), "conversationdocument", ["id"], unique=False + ) + op.create_table( + "message", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("content", sa.String(), nullable=True), + sa.Column( + "role", + postgresql.ENUM("USER", "ASSISTANT", name="MessageRoleEnum"), + nullable=False, + ), + sa.Column( + "status", + postgresql.ENUM("PENDING", "SUCCESS", "ERROR", name="MessageStatusEnum"), + nullable=False, + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_message_conversation_id"), "message", ["conversation_id"], unique=False + ) + op.create_index(op.f("ix_message_id"), "message", ["id"], unique=False) + op.create_table( + "messagesubprocess", + sa.Column("message_id", sa.UUID(), nullable=True), + sa.Column( + "status", + postgresql.ENUM("PENDING", "FINISHED", name="MessageSubProcessStatusEnum"), + nullable=False, + ), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["message_id"], + ["message.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_messagesubprocess_id"), "messagesubprocess", ["id"], unique=False + ) + op.create_index( + op.f("ix_messagesubprocess_message_id"), + "messagesubprocess", + ["message_id"], + unique=False, + ) + op.drop_index("ix_conversations_id", table_name="conversations") + op.drop_table("conversations") + op.drop_index("ix_users_id", table_name="users") + op.drop_table("users") + op.drop_constraint( + "medical_records_user_id_fkey", "medical_records", type_="foreignkey" + ) + op.create_foreign_key(None, "medical_records", "user", ["user_id"], ["id"]) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_constraint(None, "medical_records", type_="foreignkey") + op.create_foreign_key( + "medical_records_user_id_fkey", "medical_records", "users", ["user_id"], ["id"] + ) + op.create_table( + "users", + sa.Column("name", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("email", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column( + "password_hash", sa.VARCHAR(length=255), autoincrement=False, nullable=False + ), + sa.Column("age", sa.INTEGER(), autoincrement=False, nullable=True), + sa.Column("gender", sa.VARCHAR(length=50), autoincrement=False, nullable=True), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.PrimaryKeyConstraint("id", name="users_pkey"), + sa.UniqueConstraint("email", name="users_email_key"), + postgresql_ignore_search_path=False, + ) + op.create_index("ix_users_id", "users", ["id"], unique=False) + op.create_table( + "conversations", + sa.Column("title", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "messages", + postgresql.JSON(astext_type=sa.Text()), + autoincrement=False, + nullable=True, + ), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["users.id"], name="conversations_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="conversations_pkey"), + ) + op.create_index("ix_conversations_id", "conversations", ["id"], unique=False) + op.drop_index( + op.f("ix_messagesubprocess_message_id"), table_name="messagesubprocess" + ) + op.drop_index(op.f("ix_messagesubprocess_id"), table_name="messagesubprocess") + op.drop_table("messagesubprocess") + op.drop_index(op.f("ix_message_id"), table_name="message") + op.drop_index(op.f("ix_message_conversation_id"), table_name="message") + op.drop_table("message") + op.drop_index(op.f("ix_conversationdocument_id"), table_name="conversationdocument") + op.drop_index( + op.f("ix_conversationdocument_document_id"), table_name="conversationdocument" + ) + op.drop_index( + op.f("ix_conversationdocument_conversation_id"), + table_name="conversationdocument", + ) + op.drop_table("conversationdocument") + op.drop_index(op.f("ix_conversation_id"), table_name="conversation") + op.drop_table("conversation") + op.drop_index(op.f("ix_user_id"), table_name="user") + op.drop_table("user") + op.drop_index(op.f("ix_document_id"), table_name="document") + op.drop_table("document") + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/7ca9e8beebc8_sync_data_schema.py b/backend/qllm/alembic/versions/7ca9e8beebc8_sync_data_schema.py new file mode 100644 index 0000000..5117c04 --- /dev/null +++ b/backend/qllm/alembic/versions/7ca9e8beebc8_sync_data_schema.py @@ -0,0 +1,41 @@ +"""Sync data schema + +Revision ID: 7ca9e8beebc8 +Revises: 56475328e32f +Create Date: 2024-12-11 10:32:45.595124 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "7ca9e8beebc8" +down_revision: Union[str, None] = "56475328e32f" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.alter_column( + "conversations", + "messages", + existing_type=postgresql.JSON(astext_type=sa.Text()), + nullable=True, + ) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.alter_column( + "conversations", + "messages", + existing_type=postgresql.JSON(astext_type=sa.Text()), + nullable=False, + ) + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/7d780aef4247_sync_data_schema.py b/backend/qllm/alembic/versions/7d780aef4247_sync_data_schema.py new file mode 100644 index 0000000..3602740 --- /dev/null +++ b/backend/qllm/alembic/versions/7d780aef4247_sync_data_schema.py @@ -0,0 +1,283 @@ +"""Sync data schema + +Revision ID: 7d780aef4247 +Revises: a50c3e6dbc22 +Create Date: 2024-12-11 11:45:46.311340 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "7d780aef4247" +down_revision: Union[str, None] = "a50c3e6dbc22" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "document", + sa.Column("url", sa.String(), nullable=False), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("url"), + ) + op.create_index(op.f("ix_document_id"), "document", ["id"], unique=False) + op.create_table( + "user", + sa.Column("name", sa.String(), nullable=False), + sa.Column("email", sa.String(), nullable=False), + sa.Column("password_hash", sa.String(), nullable=False), + sa.Column("age", sa.Integer(), nullable=True), + sa.Column("gender", sa.String(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("email"), + ) + op.create_index(op.f("ix_user_id"), "user", ["id"], unique=False) + op.create_table( + "conversation", + sa.Column("conversation_id", sa.UUID(), nullable=False), + sa.Column("document_id", sa.UUID(), nullable=False), + sa.Column("title", sa.String(), nullable=False), + sa.Column("user_id", sa.UUID(), nullable=False), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["user.id"], + ), + sa.PrimaryKeyConstraint("conversation_id", "id"), + ) + op.create_index(op.f("ix_conversation_id"), "conversation", ["id"], unique=False) + op.create_table( + "conversationdocument", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("document_id", sa.UUID(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.ForeignKeyConstraint( + ["document_id"], + ["document.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_conversationdocument_conversation_id"), + "conversationdocument", + ["conversation_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_document_id"), + "conversationdocument", + ["document_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_id"), "conversationdocument", ["id"], unique=False + ) + op.create_table( + "message", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("content", sa.String(), nullable=True), + sa.Column( + "role", + postgresql.ENUM("USER", "ASSISTANT", name="MessageRoleEnum"), + nullable=False, + ), + sa.Column( + "status", + postgresql.ENUM("PENDING", "SUCCESS", "ERROR", name="MessageStatusEnum"), + nullable=False, + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_message_conversation_id"), "message", ["conversation_id"], unique=False + ) + op.create_index(op.f("ix_message_id"), "message", ["id"], unique=False) + op.create_table( + "messagesubprocess", + sa.Column("message_id", sa.UUID(), nullable=True), + sa.Column( + "status", + postgresql.ENUM("PENDING", "FINISHED", name="MessageSubProcessStatusEnum"), + nullable=False, + ), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["message_id"], + ["message.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_messagesubprocess_id"), "messagesubprocess", ["id"], unique=False + ) + op.create_index( + op.f("ix_messagesubprocess_message_id"), + "messagesubprocess", + ["message_id"], + unique=False, + ) + op.drop_index("ix_conversations_id", table_name="conversations") + op.drop_table("conversations") + op.drop_index("ix_users_id", table_name="users") + op.drop_table("users") + op.create_unique_constraint( + "unique_user_file", "medical_records", ["user_id", "file_path"] + ) + op.drop_constraint( + "medical_records_user_id_fkey", "medical_records", type_="foreignkey" + ) + op.create_foreign_key(None, "medical_records", "user", ["user_id"], ["id"]) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_constraint(None, "medical_records", type_="foreignkey") + op.create_foreign_key( + "medical_records_user_id_fkey", "medical_records", "users", ["user_id"], ["id"] + ) + op.drop_constraint("unique_user_file", "medical_records", type_="unique") + op.create_table( + "users", + sa.Column("name", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("email", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column( + "password_hash", sa.VARCHAR(length=255), autoincrement=False, nullable=False + ), + sa.Column("age", sa.INTEGER(), autoincrement=False, nullable=True), + sa.Column("gender", sa.VARCHAR(length=50), autoincrement=False, nullable=True), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.PrimaryKeyConstraint("id", name="users_pkey"), + sa.UniqueConstraint("email", name="users_email_key"), + postgresql_ignore_search_path=False, + ) + op.create_index("ix_users_id", "users", ["id"], unique=False) + op.create_table( + "conversations", + sa.Column("title", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "messages", + postgresql.JSON(astext_type=sa.Text()), + autoincrement=False, + nullable=True, + ), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["users.id"], name="conversations_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="conversations_pkey"), + ) + op.create_index("ix_conversations_id", "conversations", ["id"], unique=False) + op.drop_index( + op.f("ix_messagesubprocess_message_id"), table_name="messagesubprocess" + ) + op.drop_index(op.f("ix_messagesubprocess_id"), table_name="messagesubprocess") + op.drop_table("messagesubprocess") + op.drop_index(op.f("ix_message_id"), table_name="message") + op.drop_index(op.f("ix_message_conversation_id"), table_name="message") + op.drop_table("message") + op.drop_index(op.f("ix_conversationdocument_id"), table_name="conversationdocument") + op.drop_index( + op.f("ix_conversationdocument_document_id"), table_name="conversationdocument" + ) + op.drop_index( + op.f("ix_conversationdocument_conversation_id"), + table_name="conversationdocument", + ) + op.drop_table("conversationdocument") + op.drop_index(op.f("ix_conversation_id"), table_name="conversation") + op.drop_table("conversation") + op.drop_index(op.f("ix_user_id"), table_name="user") + op.drop_table("user") + op.drop_index(op.f("ix_document_id"), table_name="document") + op.drop_table("document") + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/7db228edf6fa_sync_data_schema.py b/backend/qllm/alembic/versions/7db228edf6fa_sync_data_schema.py new file mode 100644 index 0000000..713e8db --- /dev/null +++ b/backend/qllm/alembic/versions/7db228edf6fa_sync_data_schema.py @@ -0,0 +1,124 @@ +"""Sync data schema + +Revision ID: 7db228edf6fa +Revises: 36452382a402 +Create Date: 2024-12-11 15:02:14.845938 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "7db228edf6fa" +down_revision: Union[str, None] = "36452382a402" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_index("ix_conversations_id", table_name="conversations") + op.drop_table("conversations") + op.drop_index("ix_medical_records_id", table_name="medical_records") + op.drop_table("medical_records") + op.drop_index("ix_users_id", table_name="users") + op.drop_table("users") + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "users", + sa.Column("name", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("email", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column( + "password_hash", sa.VARCHAR(length=255), autoincrement=False, nullable=False + ), + sa.Column("age", sa.INTEGER(), autoincrement=False, nullable=True), + sa.Column("gender", sa.VARCHAR(length=50), autoincrement=False, nullable=True), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.PrimaryKeyConstraint("id", name="users_pkey"), + sa.UniqueConstraint("email", name="users_email_key"), + postgresql_ignore_search_path=False, + ) + op.create_index("ix_users_id", "users", ["id"], unique=False) + op.create_table( + "medical_records", + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "file_name", sa.VARCHAR(length=255), autoincrement=False, nullable=False + ), + sa.Column("file_path", sa.TEXT(), autoincrement=False, nullable=False), + sa.Column("description", sa.TEXT(), autoincrement=False, nullable=True), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["users.id"], name="medical_records_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="medical_records_pkey"), + ) + op.create_index("ix_medical_records_id", "medical_records", ["id"], unique=False) + op.create_table( + "conversations", + sa.Column("title", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "messages", + postgresql.JSON(astext_type=sa.Text()), + autoincrement=False, + nullable=True, + ), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["users.id"], name="conversations_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="conversations_pkey"), + ) + op.create_index("ix_conversations_id", "conversations", ["id"], unique=False) + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/83b55047b9d4_sync_data_schema.py b/backend/qllm/alembic/versions/83b55047b9d4_sync_data_schema.py new file mode 100644 index 0000000..0abd01e --- /dev/null +++ b/backend/qllm/alembic/versions/83b55047b9d4_sync_data_schema.py @@ -0,0 +1,124 @@ +"""Sync data schema + +Revision ID: 83b55047b9d4 +Revises: 7ca9e8beebc8 +Create Date: 2024-12-11 10:33:05.339577 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "83b55047b9d4" +down_revision: Union[str, None] = "7ca9e8beebc8" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_index("ix_medical_records_id", table_name="medical_records") + op.drop_table("medical_records") + op.drop_index("ix_conversations_id", table_name="conversations") + op.drop_table("conversations") + op.drop_index("ix_users_id", table_name="users") + op.drop_table("users") + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "users", + sa.Column("name", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("email", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column( + "password_hash", sa.VARCHAR(length=255), autoincrement=False, nullable=False + ), + sa.Column("age", sa.INTEGER(), autoincrement=False, nullable=True), + sa.Column("gender", sa.VARCHAR(length=50), autoincrement=False, nullable=True), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.PrimaryKeyConstraint("id", name="users_pkey"), + sa.UniqueConstraint("email", name="users_email_key"), + postgresql_ignore_search_path=False, + ) + op.create_index("ix_users_id", "users", ["id"], unique=False) + op.create_table( + "conversations", + sa.Column("title", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "messages", + postgresql.JSON(astext_type=sa.Text()), + autoincrement=False, + nullable=True, + ), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["users.id"], name="conversations_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="conversations_pkey"), + ) + op.create_index("ix_conversations_id", "conversations", ["id"], unique=False) + op.create_table( + "medical_records", + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "file_name", sa.VARCHAR(length=255), autoincrement=False, nullable=False + ), + sa.Column("file_path", sa.TEXT(), autoincrement=False, nullable=False), + sa.Column("description", sa.TEXT(), autoincrement=False, nullable=True), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["users.id"], name="medical_records_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="medical_records_pkey"), + ) + op.create_index("ix_medical_records_id", "medical_records", ["id"], unique=False) + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/870d065282bf_delete_cascade_mode.py b/backend/qllm/alembic/versions/870d065282bf_delete_cascade_mode.py new file mode 100644 index 0000000..911210c --- /dev/null +++ b/backend/qllm/alembic/versions/870d065282bf_delete_cascade_mode.py @@ -0,0 +1,30 @@ +"""delete cascade mode + +Revision ID: 870d065282bf +Revises: f0eb2333c81c +Create Date: 2025-02-16 16:25:26.285350 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "870d065282bf" +down_revision: Union[str, None] = "f0eb2333c81c" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/88d6781c0e25_fix_foreign_key.py b/backend/qllm/alembic/versions/88d6781c0e25_fix_foreign_key.py new file mode 100644 index 0000000..56ff6c9 --- /dev/null +++ b/backend/qllm/alembic/versions/88d6781c0e25_fix_foreign_key.py @@ -0,0 +1,26 @@ +"""fix foreign key + +Revision ID: 88d6781c0e25 +Revises: e1717e4dec93 +Create Date: 2025-02-14 17:09:21.553771 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "88d6781c0e25" +down_revision: Union[str, None] = "e1717e4dec93" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + pass + + +def downgrade() -> None: + pass diff --git a/backend/qllm/alembic/versions/8c2b1fabe162_sync_data_schema.py b/backend/qllm/alembic/versions/8c2b1fabe162_sync_data_schema.py new file mode 100644 index 0000000..a8bb0ea --- /dev/null +++ b/backend/qllm/alembic/versions/8c2b1fabe162_sync_data_schema.py @@ -0,0 +1,278 @@ +"""Sync data schema + +Revision ID: 8c2b1fabe162 +Revises: 6efbea0a004e +Create Date: 2024-12-11 15:01:49.366593 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "8c2b1fabe162" +down_revision: Union[str, None] = "6efbea0a004e" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "document", + sa.Column("url", sa.String(), nullable=False), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("url"), + ) + op.create_index(op.f("ix_document_id"), "document", ["id"], unique=False) + op.create_table( + "user", + sa.Column("name", sa.String(), nullable=False), + sa.Column("email", sa.String(), nullable=False), + sa.Column("password_hash", sa.String(), nullable=False), + sa.Column("age", sa.Integer(), nullable=True), + sa.Column("gender", sa.String(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("email"), + ) + op.create_index(op.f("ix_user_id"), "user", ["id"], unique=False) + op.create_table( + "conversation", + sa.Column("document_id", sa.UUID(), nullable=False), + sa.Column("title", sa.String(), nullable=False), + sa.Column("user_id", sa.UUID(), nullable=False), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["user.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index(op.f("ix_conversation_id"), "conversation", ["id"], unique=False) + op.create_table( + "conversationdocument", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("document_id", sa.UUID(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.ForeignKeyConstraint( + ["document_id"], + ["document.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_conversationdocument_conversation_id"), + "conversationdocument", + ["conversation_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_document_id"), + "conversationdocument", + ["document_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_id"), "conversationdocument", ["id"], unique=False + ) + op.create_table( + "message", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("content", sa.String(), nullable=True), + sa.Column( + "role", + postgresql.ENUM("USER", "ASSISTANT", name="MessageRoleEnum"), + nullable=False, + ), + sa.Column( + "status", + postgresql.ENUM("PENDING", "SUCCESS", "ERROR", name="MessageStatusEnum"), + nullable=False, + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_message_conversation_id"), "message", ["conversation_id"], unique=False + ) + op.create_index(op.f("ix_message_id"), "message", ["id"], unique=False) + op.create_table( + "messagesubprocess", + sa.Column("message_id", sa.UUID(), nullable=True), + sa.Column( + "status", + postgresql.ENUM("PENDING", "FINISHED", name="MessageSubProcessStatusEnum"), + nullable=False, + ), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["message_id"], + ["message.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_messagesubprocess_id"), "messagesubprocess", ["id"], unique=False + ) + op.create_index( + op.f("ix_messagesubprocess_message_id"), + "messagesubprocess", + ["message_id"], + unique=False, + ) + op.drop_index("ix_conversations_id", table_name="conversations") + op.drop_table("conversations") + op.drop_index("ix_users_id", table_name="users") + op.drop_table("users") + op.drop_constraint( + "medical_records_user_id_fkey", "medical_records", type_="foreignkey" + ) + op.create_foreign_key(None, "medical_records", "user", ["user_id"], ["id"]) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_constraint(None, "medical_records", type_="foreignkey") + op.create_foreign_key( + "medical_records_user_id_fkey", "medical_records", "users", ["user_id"], ["id"] + ) + op.create_table( + "users", + sa.Column("name", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("email", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column( + "password_hash", sa.VARCHAR(length=255), autoincrement=False, nullable=False + ), + sa.Column("age", sa.INTEGER(), autoincrement=False, nullable=True), + sa.Column("gender", sa.VARCHAR(length=50), autoincrement=False, nullable=True), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.PrimaryKeyConstraint("id", name="users_pkey"), + sa.UniqueConstraint("email", name="users_email_key"), + postgresql_ignore_search_path=False, + ) + op.create_index("ix_users_id", "users", ["id"], unique=False) + op.create_table( + "conversations", + sa.Column("title", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "messages", + postgresql.JSON(astext_type=sa.Text()), + autoincrement=False, + nullable=True, + ), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["users.id"], name="conversations_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="conversations_pkey"), + ) + op.create_index("ix_conversations_id", "conversations", ["id"], unique=False) + op.drop_index( + op.f("ix_messagesubprocess_message_id"), table_name="messagesubprocess" + ) + op.drop_index(op.f("ix_messagesubprocess_id"), table_name="messagesubprocess") + op.drop_table("messagesubprocess") + op.drop_index(op.f("ix_message_id"), table_name="message") + op.drop_index(op.f("ix_message_conversation_id"), table_name="message") + op.drop_table("message") + op.drop_index(op.f("ix_conversationdocument_id"), table_name="conversationdocument") + op.drop_index( + op.f("ix_conversationdocument_document_id"), table_name="conversationdocument" + ) + op.drop_index( + op.f("ix_conversationdocument_conversation_id"), + table_name="conversationdocument", + ) + op.drop_table("conversationdocument") + op.drop_index(op.f("ix_conversation_id"), table_name="conversation") + op.drop_table("conversation") + op.drop_index(op.f("ix_user_id"), table_name="user") + op.drop_table("user") + op.drop_index(op.f("ix_document_id"), table_name="document") + op.drop_table("document") + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/915d343103da_normalize_user_table.py b/backend/qllm/alembic/versions/915d343103da_normalize_user_table.py new file mode 100644 index 0000000..c9a7f42 --- /dev/null +++ b/backend/qllm/alembic/versions/915d343103da_normalize_user_table.py @@ -0,0 +1,26 @@ +"""normalize user table + +Revision ID: 915d343103da +Revises: 10c4b390af9c +Create Date: 2025-02-13 15:44:35.685773 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "915d343103da" +down_revision: Union[str, None] = "10c4b390af9c" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + pass + + +def downgrade() -> None: + pass diff --git a/backend/qllm/alembic/versions/a50c3e6dbc22_sync_data_schema.py b/backend/qllm/alembic/versions/a50c3e6dbc22_sync_data_schema.py new file mode 100644 index 0000000..290782d --- /dev/null +++ b/backend/qllm/alembic/versions/a50c3e6dbc22_sync_data_schema.py @@ -0,0 +1,283 @@ +"""Sync data schema + +Revision ID: a50c3e6dbc22 +Revises: eafb3967a6c1 +Create Date: 2024-12-11 11:44:16.234902 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "a50c3e6dbc22" +down_revision: Union[str, None] = "eafb3967a6c1" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "document", + sa.Column("url", sa.String(), nullable=False), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("url"), + ) + op.create_index(op.f("ix_document_id"), "document", ["id"], unique=False) + op.create_table( + "user", + sa.Column("name", sa.String(), nullable=False), + sa.Column("email", sa.String(), nullable=False), + sa.Column("password_hash", sa.String(), nullable=False), + sa.Column("age", sa.Integer(), nullable=True), + sa.Column("gender", sa.String(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("email"), + ) + op.create_index(op.f("ix_user_id"), "user", ["id"], unique=False) + op.create_table( + "conversation", + sa.Column("conversation_id", sa.UUID(), nullable=False), + sa.Column("document_id", sa.UUID(), nullable=False), + sa.Column("title", sa.String(), nullable=False), + sa.Column("user_id", sa.UUID(), nullable=False), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["user.id"], + ), + sa.PrimaryKeyConstraint("conversation_id", "id"), + ) + op.create_index(op.f("ix_conversation_id"), "conversation", ["id"], unique=False) + op.create_table( + "conversationdocument", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("document_id", sa.UUID(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.ForeignKeyConstraint( + ["document_id"], + ["document.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_conversationdocument_conversation_id"), + "conversationdocument", + ["conversation_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_document_id"), + "conversationdocument", + ["document_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_id"), "conversationdocument", ["id"], unique=False + ) + op.create_table( + "message", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("content", sa.String(), nullable=True), + sa.Column( + "role", + postgresql.ENUM("USER", "ASSISTANT", name="MessageRoleEnum"), + nullable=False, + ), + sa.Column( + "status", + postgresql.ENUM("PENDING", "SUCCESS", "ERROR", name="MessageStatusEnum"), + nullable=False, + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_message_conversation_id"), "message", ["conversation_id"], unique=False + ) + op.create_index(op.f("ix_message_id"), "message", ["id"], unique=False) + op.create_table( + "messagesubprocess", + sa.Column("message_id", sa.UUID(), nullable=True), + sa.Column( + "status", + postgresql.ENUM("PENDING", "FINISHED", name="MessageSubProcessStatusEnum"), + nullable=False, + ), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["message_id"], + ["message.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_messagesubprocess_id"), "messagesubprocess", ["id"], unique=False + ) + op.create_index( + op.f("ix_messagesubprocess_message_id"), + "messagesubprocess", + ["message_id"], + unique=False, + ) + op.drop_index("ix_conversations_id", table_name="conversations") + op.drop_table("conversations") + op.drop_index("ix_users_id", table_name="users") + op.drop_table("users") + op.create_unique_constraint( + "unique_user_file", "medical_records", ["user_id", "file_path"] + ) + op.drop_constraint( + "medical_records_user_id_fkey", "medical_records", type_="foreignkey" + ) + op.create_foreign_key(None, "medical_records", "user", ["user_id"], ["id"]) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_constraint(None, "medical_records", type_="foreignkey") + op.create_foreign_key( + "medical_records_user_id_fkey", "medical_records", "users", ["user_id"], ["id"] + ) + op.drop_constraint("unique_user_file", "medical_records", type_="unique") + op.create_table( + "users", + sa.Column("name", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("email", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column( + "password_hash", sa.VARCHAR(length=255), autoincrement=False, nullable=False + ), + sa.Column("age", sa.INTEGER(), autoincrement=False, nullable=True), + sa.Column("gender", sa.VARCHAR(length=50), autoincrement=False, nullable=True), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.PrimaryKeyConstraint("id", name="users_pkey"), + sa.UniqueConstraint("email", name="users_email_key"), + postgresql_ignore_search_path=False, + ) + op.create_index("ix_users_id", "users", ["id"], unique=False) + op.create_table( + "conversations", + sa.Column("title", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "messages", + postgresql.JSON(astext_type=sa.Text()), + autoincrement=False, + nullable=True, + ), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["users.id"], name="conversations_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="conversations_pkey"), + ) + op.create_index("ix_conversations_id", "conversations", ["id"], unique=False) + op.drop_index( + op.f("ix_messagesubprocess_message_id"), table_name="messagesubprocess" + ) + op.drop_index(op.f("ix_messagesubprocess_id"), table_name="messagesubprocess") + op.drop_table("messagesubprocess") + op.drop_index(op.f("ix_message_id"), table_name="message") + op.drop_index(op.f("ix_message_conversation_id"), table_name="message") + op.drop_table("message") + op.drop_index(op.f("ix_conversationdocument_id"), table_name="conversationdocument") + op.drop_index( + op.f("ix_conversationdocument_document_id"), table_name="conversationdocument" + ) + op.drop_index( + op.f("ix_conversationdocument_conversation_id"), + table_name="conversationdocument", + ) + op.drop_table("conversationdocument") + op.drop_index(op.f("ix_conversation_id"), table_name="conversation") + op.drop_table("conversation") + op.drop_index(op.f("ix_user_id"), table_name="user") + op.drop_table("user") + op.drop_index(op.f("ix_document_id"), table_name="document") + op.drop_table("document") + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/aebe87a697e1_sync_database_schema.py b/backend/qllm/alembic/versions/aebe87a697e1_sync_database_schema.py new file mode 100644 index 0000000..e4224e3 --- /dev/null +++ b/backend/qllm/alembic/versions/aebe87a697e1_sync_database_schema.py @@ -0,0 +1,30 @@ +"""Sync database schema + +Revision ID: aebe87a697e1 +Revises: 6c74c3d3939b +Create Date: 2024-12-11 10:19:44.344083 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "aebe87a697e1" +down_revision: Union[str, None] = "6c74c3d3939b" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/b6d60c870717_add_age_and_gender_to_user.py b/backend/qllm/alembic/versions/b6d60c870717_add_age_and_gender_to_user.py new file mode 100644 index 0000000..967c45e --- /dev/null +++ b/backend/qllm/alembic/versions/b6d60c870717_add_age_and_gender_to_user.py @@ -0,0 +1,48 @@ +"""add age and gender to user + +Revision ID: b6d60c870717 +Revises: 915d343103da +Create Date: 2025-02-13 15:49:18.780793 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "b6d60c870717" +down_revision: Union[str, None] = "915d343103da" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.alter_column("user", "email", existing_type=sa.VARCHAR(), nullable=True) + op.alter_column("user", "password_hash", existing_type=sa.VARCHAR(), nullable=True) + op.drop_constraint("user_email_key", "user", type_="unique") + op.create_index(op.f("ix_user_email"), "user", ["email"], unique=True) + op.drop_column("user", "age") + op.drop_column("user", "name") + op.drop_column("user", "gender") + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.add_column( + "user", sa.Column("gender", sa.VARCHAR(), autoincrement=False, nullable=True) + ) + op.add_column( + "user", sa.Column("name", sa.VARCHAR(), autoincrement=False, nullable=False) + ) + op.add_column( + "user", sa.Column("age", sa.INTEGER(), autoincrement=False, nullable=True) + ) + op.drop_index(op.f("ix_user_email"), table_name="user") + op.create_unique_constraint("user_email_key", "user", ["email"]) + op.alter_column("user", "password_hash", existing_type=sa.VARCHAR(), nullable=False) + op.alter_column("user", "email", existing_type=sa.VARCHAR(), nullable=False) + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/bdd45921ae97_fix_relationship_user_medicalrecord.py b/backend/qllm/alembic/versions/bdd45921ae97_fix_relationship_user_medicalrecord.py new file mode 100644 index 0000000..5c10a42 --- /dev/null +++ b/backend/qllm/alembic/versions/bdd45921ae97_fix_relationship_user_medicalrecord.py @@ -0,0 +1,30 @@ +"""fix relationship user - medicalrecord + +Revision ID: bdd45921ae97 +Revises: 88d6781c0e25 +Create Date: 2025-02-14 17:17:23.090332 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "bdd45921ae97" +down_revision: Union[str, None] = "88d6781c0e25" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_index(op.f("ix_memory_id"), "memory", ["id"], unique=False) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_index(op.f("ix_memory_id"), table_name="memory") + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/c3308de4a9cd_initial_migration.py b/backend/qllm/alembic/versions/c3308de4a9cd_initial_migration.py new file mode 100644 index 0000000..1e77e3f --- /dev/null +++ b/backend/qllm/alembic/versions/c3308de4a9cd_initial_migration.py @@ -0,0 +1,30 @@ +"""Initial migration + +Revision ID: c3308de4a9cd +Revises: +Create Date: 2024-12-09 17:31:08.969599 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "c3308de4a9cd" +down_revision: Union[str, None] = None +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/dd225c9b9e5f_.py b/backend/qllm/alembic/versions/dd225c9b9e5f_.py new file mode 100644 index 0000000..3969bde --- /dev/null +++ b/backend/qllm/alembic/versions/dd225c9b9e5f_.py @@ -0,0 +1,133 @@ +"""empty message + +Revision ID: dd225c9b9e5f +Revises: b6d60c870717 +Create Date: 2025-02-14 16:59:21.890294 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "dd225c9b9e5f" +down_revision: Union[str, None] = "b6d60c870717" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "medicalrecord", + sa.Column("user_id", sa.UUID(), nullable=False), + sa.Column("file_name", sa.String(length=255), nullable=False), + sa.Column("file_path", sa.Text(), nullable=False), + sa.Column("description", sa.Text(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["user.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index(op.f("ix_medicalrecord_id"), "medicalrecord", ["id"], unique=False) + op.create_table( + "memory", + sa.Column("id", sa.UUID(), nullable=False), + sa.Column("user_id", sa.UUID(), nullable=False), + sa.Column( + "type", + postgresql.ENUM("EPISODIC", "SEMANTIC", "PROCEDURAL", name="MemoryType"), + nullable=False, + ), + sa.Column("content", sa.JSON(), nullable=False), + sa.Column("meta_data", sa.JSON(), nullable=True), + sa.Column("embedding", sa.JSON(), nullable=True), + sa.Column("importance_score", sa.Float(), nullable=True), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["user.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_table( + "memoryindex", + sa.Column("user_id", sa.UUID(), nullable=False), + sa.Column( + "memory_type", + postgresql.ENUM("EPISODIC", "SEMANTIC", "PROCEDURAL", name="MemoryType"), + nullable=False, + ), + sa.Column("index_data", sa.JSON(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["user.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index(op.f("ix_memoryindex_id"), "memoryindex", ["id"], unique=False) + op.drop_index("ix_medical_records_id", table_name="medical_records") + op.drop_table("medical_records") + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "medical_records", + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "file_name", sa.VARCHAR(length=255), autoincrement=False, nullable=False + ), + sa.Column("file_path", sa.TEXT(), autoincrement=False, nullable=False), + sa.Column("description", sa.TEXT(), autoincrement=False, nullable=True), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["user.id"], name="medical_records_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="medical_records_pkey"), + ) + op.create_index("ix_medical_records_id", "medical_records", ["id"], unique=False) + op.drop_index(op.f("ix_memoryindex_id"), table_name="memoryindex") + op.drop_table("memoryindex") + op.drop_table("memory") + op.drop_index(op.f("ix_medicalrecord_id"), table_name="medicalrecord") + op.drop_table("medicalrecord") + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/e1717e4dec93_fix_user_id_type.py b/backend/qllm/alembic/versions/e1717e4dec93_fix_user_id_type.py new file mode 100644 index 0000000..a988176 --- /dev/null +++ b/backend/qllm/alembic/versions/e1717e4dec93_fix_user_id_type.py @@ -0,0 +1,26 @@ +"""Fix user_id type + +Revision ID: e1717e4dec93 +Revises: dd225c9b9e5f +Create Date: 2025-02-14 17:06:47.867180 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "e1717e4dec93" +down_revision: Union[str, None] = "dd225c9b9e5f" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + pass + + +def downgrade() -> None: + pass diff --git a/backend/qllm/alembic/versions/eafb3967a6c1_sync_data_schema.py b/backend/qllm/alembic/versions/eafb3967a6c1_sync_data_schema.py new file mode 100644 index 0000000..b0a4107 --- /dev/null +++ b/backend/qllm/alembic/versions/eafb3967a6c1_sync_data_schema.py @@ -0,0 +1,224 @@ +"""Sync data schema + +Revision ID: eafb3967a6c1 +Revises: f67334b2d2f4 +Create Date: 2024-12-11 11:42:28.290956 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "eafb3967a6c1" +down_revision: Union[str, None] = "f67334b2d2f4" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "document", + sa.Column("url", sa.String(), nullable=False), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("url"), + ) + op.create_index(op.f("ix_document_id"), "document", ["id"], unique=False) + op.create_table( + "conversation", + sa.Column("conversation_id", sa.UUID(), nullable=False), + sa.Column("document_id", sa.UUID(), nullable=False), + sa.Column("title", sa.String(), nullable=False), + sa.Column("user_id", sa.UUID(), nullable=False), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["users.id"], + ), + sa.PrimaryKeyConstraint("conversation_id", "id"), + ) + op.create_index(op.f("ix_conversation_id"), "conversation", ["id"], unique=False) + op.create_table( + "conversationdocument", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("document_id", sa.UUID(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.ForeignKeyConstraint( + ["document_id"], + ["document.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_conversationdocument_conversation_id"), + "conversationdocument", + ["conversation_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_document_id"), + "conversationdocument", + ["document_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_id"), "conversationdocument", ["id"], unique=False + ) + op.create_table( + "message", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("content", sa.String(), nullable=True), + sa.Column( + "role", + postgresql.ENUM("USER", "ASSISTANT", name="MessageRoleEnum"), + nullable=False, + ), + sa.Column( + "status", + postgresql.ENUM("PENDING", "SUCCESS", "ERROR", name="MessageStatusEnum"), + nullable=False, + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_message_conversation_id"), "message", ["conversation_id"], unique=False + ) + op.create_index(op.f("ix_message_id"), "message", ["id"], unique=False) + op.create_table( + "messagesubprocess", + sa.Column("message_id", sa.UUID(), nullable=True), + sa.Column( + "status", + postgresql.ENUM("PENDING", "FINISHED", name="MessageSubProcessStatusEnum"), + nullable=False, + ), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["message_id"], + ["message.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_messagesubprocess_id"), "messagesubprocess", ["id"], unique=False + ) + op.create_index( + op.f("ix_messagesubprocess_message_id"), + "messagesubprocess", + ["message_id"], + unique=False, + ) + op.drop_index("ix_conversations_id", table_name="conversations") + op.drop_table("conversations") + op.create_unique_constraint( + "unique_user_file", "medical_records", ["user_id", "file_path"] + ) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_constraint("unique_user_file", "medical_records", type_="unique") + op.create_table( + "conversations", + sa.Column("title", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "messages", + postgresql.JSON(astext_type=sa.Text()), + autoincrement=False, + nullable=True, + ), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["users.id"], name="conversations_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="conversations_pkey"), + ) + op.create_index("ix_conversations_id", "conversations", ["id"], unique=False) + op.drop_index( + op.f("ix_messagesubprocess_message_id"), table_name="messagesubprocess" + ) + op.drop_index(op.f("ix_messagesubprocess_id"), table_name="messagesubprocess") + op.drop_table("messagesubprocess") + op.drop_index(op.f("ix_message_id"), table_name="message") + op.drop_index(op.f("ix_message_conversation_id"), table_name="message") + op.drop_table("message") + op.drop_index(op.f("ix_conversationdocument_id"), table_name="conversationdocument") + op.drop_index( + op.f("ix_conversationdocument_document_id"), table_name="conversationdocument" + ) + op.drop_index( + op.f("ix_conversationdocument_conversation_id"), + table_name="conversationdocument", + ) + op.drop_table("conversationdocument") + op.drop_index(op.f("ix_conversation_id"), table_name="conversation") + op.drop_table("conversation") + op.drop_index(op.f("ix_document_id"), table_name="document") + op.drop_table("document") + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/f0eb2333c81c_fix_relationship_user_memory.py b/backend/qllm/alembic/versions/f0eb2333c81c_fix_relationship_user_memory.py new file mode 100644 index 0000000..a10e657 --- /dev/null +++ b/backend/qllm/alembic/versions/f0eb2333c81c_fix_relationship_user_memory.py @@ -0,0 +1,30 @@ +"""fix relationship user - memory + +Revision ID: f0eb2333c81c +Revises: bdd45921ae97 +Create Date: 2025-02-14 17:18:34.305349 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = "f0eb2333c81c" +down_revision: Union[str, None] = "bdd45921ae97" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + pass + # ### end Alembic commands ### diff --git a/backend/qllm/alembic/versions/f67334b2d2f4_sync_data_schema.py b/backend/qllm/alembic/versions/f67334b2d2f4_sync_data_schema.py new file mode 100644 index 0000000..01d72d7 --- /dev/null +++ b/backend/qllm/alembic/versions/f67334b2d2f4_sync_data_schema.py @@ -0,0 +1,224 @@ +"""Sync data schema + +Revision ID: f67334b2d2f4 +Revises: 58dc3b337ee4 +Create Date: 2024-12-11 11:37:34.793603 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.dialects import postgresql + +# revision identifiers, used by Alembic. +revision: str = "f67334b2d2f4" +down_revision: Union[str, None] = "58dc3b337ee4" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "document", + sa.Column("url", sa.String(), nullable=False), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("url"), + ) + op.create_index(op.f("ix_document_id"), "document", ["id"], unique=False) + op.create_table( + "conversation", + sa.Column("conversation_id", sa.UUID(), nullable=False), + sa.Column("document_id", sa.UUID(), nullable=False), + sa.Column("title", sa.String(), nullable=False), + sa.Column("user_id", sa.UUID(), nullable=False), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["user_id"], + ["users.id"], + ), + sa.PrimaryKeyConstraint("conversation_id", "id"), + ) + op.create_index(op.f("ix_conversation_id"), "conversation", ["id"], unique=False) + op.create_table( + "conversationdocument", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("document_id", sa.UUID(), nullable=True), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.ForeignKeyConstraint( + ["document_id"], + ["document.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_conversationdocument_conversation_id"), + "conversationdocument", + ["conversation_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_document_id"), + "conversationdocument", + ["document_id"], + unique=False, + ) + op.create_index( + op.f("ix_conversationdocument_id"), "conversationdocument", ["id"], unique=False + ) + op.create_table( + "message", + sa.Column("conversation_id", sa.UUID(), nullable=True), + sa.Column("content", sa.String(), nullable=True), + sa.Column( + "role", + postgresql.ENUM("USER", "ASSISTANT", name="MessageRoleEnum"), + nullable=False, + ), + sa.Column( + "status", + postgresql.ENUM("PENDING", "SUCCESS", "ERROR", name="MessageStatusEnum"), + nullable=False, + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["conversation_id"], + ["conversation.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_message_conversation_id"), "message", ["conversation_id"], unique=False + ) + op.create_index(op.f("ix_message_id"), "message", ["id"], unique=False) + op.create_table( + "messagesubprocess", + sa.Column("message_id", sa.UUID(), nullable=True), + sa.Column( + "status", + postgresql.ENUM("PENDING", "FINISHED", name="MessageSubProcessStatusEnum"), + nullable=False, + ), + sa.Column( + "metadata_map", postgresql.JSONB(astext_type=sa.Text()), nullable=True + ), + sa.Column("id", sa.UUID(), nullable=False), + sa.Column( + "created_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.Column( + "updated_at", sa.DateTime(), server_default=sa.text("now()"), nullable=False + ), + sa.ForeignKeyConstraint( + ["message_id"], + ["message.id"], + ), + sa.PrimaryKeyConstraint("id"), + ) + op.create_index( + op.f("ix_messagesubprocess_id"), "messagesubprocess", ["id"], unique=False + ) + op.create_index( + op.f("ix_messagesubprocess_message_id"), + "messagesubprocess", + ["message_id"], + unique=False, + ) + op.drop_index("ix_conversations_id", table_name="conversations") + op.drop_table("conversations") + op.create_unique_constraint( + "unique_user_file", "medical_records", ["user_id", "file_path"] + ) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_constraint("unique_user_file", "medical_records", type_="unique") + op.create_table( + "conversations", + sa.Column("title", sa.VARCHAR(length=255), autoincrement=False, nullable=False), + sa.Column("user_id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "messages", + postgresql.JSON(astext_type=sa.Text()), + autoincrement=False, + nullable=True, + ), + sa.Column("id", sa.UUID(), autoincrement=False, nullable=False), + sa.Column( + "created_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.Column( + "updated_at", + postgresql.TIMESTAMP(), + server_default=sa.text("now()"), + autoincrement=False, + nullable=False, + ), + sa.ForeignKeyConstraint( + ["user_id"], ["users.id"], name="conversations_user_id_fkey" + ), + sa.PrimaryKeyConstraint("id", name="conversations_pkey"), + ) + op.create_index("ix_conversations_id", "conversations", ["id"], unique=False) + op.drop_index( + op.f("ix_messagesubprocess_message_id"), table_name="messagesubprocess" + ) + op.drop_index(op.f("ix_messagesubprocess_id"), table_name="messagesubprocess") + op.drop_table("messagesubprocess") + op.drop_index(op.f("ix_message_id"), table_name="message") + op.drop_index(op.f("ix_message_conversation_id"), table_name="message") + op.drop_table("message") + op.drop_index(op.f("ix_conversationdocument_id"), table_name="conversationdocument") + op.drop_index( + op.f("ix_conversationdocument_document_id"), table_name="conversationdocument" + ) + op.drop_index( + op.f("ix_conversationdocument_conversation_id"), + table_name="conversationdocument", + ) + op.drop_table("conversationdocument") + op.drop_index(op.f("ix_conversation_id"), table_name="conversation") + op.drop_table("conversation") + op.drop_index(op.f("ix_document_id"), table_name="document") + op.drop_table("document") + # ### end Alembic commands ### diff --git a/backend/qllm/api/__init__.py b/backend/qllm/api/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qllm/api/crud.py b/backend/qllm/api/crud.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qllm/api/deps.py b/backend/qllm/api/deps.py new file mode 100644 index 0000000..d759db2 --- /dev/null +++ b/backend/qllm/api/deps.py @@ -0,0 +1,25 @@ +import logging +from typing import Annotated, AsyncGenerator, Generator + +from fastapi import Depends +from llama_index.core.vector_stores.types import VectorStore +from llama_index.vector_stores.qdrant import QdrantVectorStore +from qdrant_client import AsyncQdrantClient, QdrantClient +from sqlalchemy.ext.asyncio import AsyncSession + +from qllm.core.database import async_session_maker +from qllm.core.vector_store import get_vector_store + +logger = logging.getLogger("uvicorn") + + +def get_qdrant_vector_store() -> VectorStore: + """ + Dependency to provide QdrantVectorStore. + """ + return get_vector_store() + + +async def get_db() -> AsyncGenerator[AsyncSession, None]: + async with async_session_maker() as session: + yield session diff --git a/backend/qllm/api/middlewares/__init__.py b/backend/qllm/api/middlewares/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qllm/api/middlewares/jwt.py b/backend/qllm/api/middlewares/jwt.py new file mode 100644 index 0000000..f8ccdb9 --- /dev/null +++ b/backend/qllm/api/middlewares/jwt.py @@ -0,0 +1,94 @@ +from datetime import UTC, datetime, timedelta +from typing import Annotated, Optional + +import jwt +from fastapi import Depends, HTTPException, Request, status +from jose import JWTError +from passlib.context import CryptContext +from sqlalchemy import select +from sqlalchemy.orm import Session + +from qllm.api.deps import get_db +from qllm.api.schemas.auth import TokenData +from qllm.core.config import settings +from qllm.models.model import User + +# Cấu hình bảo mật +pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") + + +def verify_password(plain_password: str, hashed_password: str) -> bool: + return pwd_context.verify(plain_password, hashed_password) + + +def get_password_hash(password: str) -> str: + return pwd_context.hash(password) + + +def create_access_token(data: dict, expires_delta: timedelta | None = None) -> str: + to_encode = data.copy() + if expires_delta: + expire = datetime.now(UTC) + expires_delta + else: + expire = datetime.now(UTC) + timedelta(minutes=15) + to_encode.update({"exp": expire}) + encoded_jwt = jwt.encode( + to_encode, settings.SECRET_KEY, algorithm=settings.ALGORITHM + ) + return encoded_jwt + + +# Thay đổi OAuth2PasswordBearer thành một hàm kiểm tra header +async def get_token_from_header(request: Request) -> str: + authorization = request.headers.get("Authorization") + if not authorization: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Không tìm thấy token xác thực", + headers={"WWW-Authenticate": "Bearer"}, + ) + + scheme, _, token = authorization.partition(" ") + if scheme.lower() != "bearer": + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Token không đúng định dạng", + headers={"WWW-Authenticate": "Bearer"}, + ) + return token + + +async def get_current_user(request: Request, db: Session = Depends(get_db)) -> User: + token = await get_token_from_header(request) + credentials_exception = HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Token không hợp lệ hoặc đã hết hạn", + headers={"WWW-Authenticate": "Bearer"}, + ) + + try: + payload = jwt.decode( + token, settings.SECRET_KEY, algorithms=[settings.ALGORITHM] + ) + email: Optional[str] = payload.get("sub") + if email is None: + raise credentials_exception + token_data = TokenData(email=email) + except JWTError: + raise credentials_exception + + result = await db.execute(select(User).where(User.email == token_data.email)) + user = result.scalar_one_or_none() + + if user is None: + raise credentials_exception + return user + + +async def get_current_active_user( + current_user: Annotated[User, Depends(get_current_user)] +) -> User: + return current_user + + +CurrentUser = Annotated[User, Depends(get_current_active_user)] diff --git a/backend/qllm/api/routers/__init__.py b/backend/qllm/api/routers/__init__.py new file mode 100644 index 0000000..6982ec1 --- /dev/null +++ b/backend/qllm/api/routers/__init__.py @@ -0,0 +1,10 @@ +from fastapi import APIRouter + +from .auth import auth_router +from .conversation import conversation_route +from .upload import upload_router + +api_router = APIRouter() +api_router.include_router(router=auth_router, prefix="/auth") +api_router.include_router(router=upload_router, prefix="/upload") +api_router.include_router(router=conversation_route, prefix="/chat") diff --git a/backend/qllm/api/routers/auth.py b/backend/qllm/api/routers/auth.py new file mode 100644 index 0000000..c4b28a2 --- /dev/null +++ b/backend/qllm/api/routers/auth.py @@ -0,0 +1,105 @@ +from datetime import timedelta +from typing import Annotated + +from fastapi import APIRouter, Depends, HTTPException, Request, Response, status +from fastapi.security import OAuth2PasswordRequestForm +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from qllm.api.deps import get_db +from qllm.api.middlewares.jwt import ( + create_access_token, + get_current_active_user, + get_password_hash, + verify_password, +) +from qllm.api.schemas.auth import Token, User, UserCreate, UserLogin +from qllm.core.config import settings + +from ...models.model import User as UserModel + +router = auth_router = APIRouter() + + +@router.post("/signup", response_model=User) +async def signup(user_data: UserCreate, db: AsyncSession = Depends(get_db)): + # Kiểm tra email đã tồn tại + result = await db.execute( + select(UserModel).where(UserModel.email == user_data.email) + ) + if result.scalar_one_or_none(): + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, detail="Email already registered" + ) + + # Tạo user mới + password_hash = get_password_hash(user_data.password) + db_user = UserModel( + email=user_data.email, + password_hash=password_hash, + ) + db.add(db_user) + await db.commit() + await db.refresh(db_user) + return db_user + + +@router.post("/login", response_model=Token) +async def login(user_data: UserLogin, db: AsyncSession = Depends(get_db)): + # Tìm user bằng email + result = await db.execute( + select(UserModel).where(UserModel.email == user_data.email) + ) + user = result.scalar_one_or_none() + + if not user or not verify_password(user_data.password, user.password_hash): + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Email hoặc mật khẩu không chính xác", + ) + + # Tạo access token + access_token_expires = timedelta(minutes=settings.ACCESS_TOKEN_EXPIRE_MINUTES) + access_token = create_access_token( + data={"sub": user.email}, expires_delta=access_token_expires + ) + return {"access_token": access_token, "token_type": "bearer"} + + +# @router.post("/login/email", response_model=Token) +# async def login_with_email( +# user_data: UserLogin, +# db: AsyncSession = Depends(get_db) +# ): +# # Tìm user bằng email +# result = await db.execute( +# select(UserModel).where(UserModel.email == user_data.email) +# ) +# user = result.scalar_one_or_none() + +# if not user or not verify_password(user_data.password, user.password_hash): +# raise HTTPException( +# status_code=status.HTTP_401_UNAUTHORIZED, +# detail="Email hoặc mật khẩu không chính xác", +# headers={"WWW-Authenticate": "Bearer"}, +# ) + +# # Tạo access token +# access_token_expires = timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES) +# access_token = create_access_token( +# data={"sub": user.email}, expires_delta=access_token_expires +# ) +# return {"access_token": access_token, "token_type": "bearer"} + + +@router.post("/logout") +async def logout(response: Response): + response.delete_cookie("Authorization") + return {"message": "Successfully logged out"} + + +@router.get("/users/me", response_model=User) +async def read_users_me( + current_user: Annotated[UserModel, Depends(get_current_active_user)] +): + return current_user diff --git a/backend/qllm/api/routers/conversation.py b/backend/qllm/api/routers/conversation.py new file mode 100644 index 0000000..f7d0a8a --- /dev/null +++ b/backend/qllm/api/routers/conversation.py @@ -0,0 +1,313 @@ +import datetime +import json +import logging +from datetime import UTC, datetime, timezone +from typing import AsyncGenerator, Optional +from uuid import UUID + +from fastapi import APIRouter, Depends, HTTPException +from fastapi.responses import StreamingResponse +from llama_index.core.llms import ChatMessage +from llama_index.core.vector_stores.types import VectorStore +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession +from sqlalchemy.orm import joinedload + +from qllm.api.deps import get_db, get_qdrant_vector_store +from qllm.api.middlewares.jwt import CurrentUser +from qllm.api.schemas.conversation import ConversationRenameRequest +from qllm.api.schemas.message import ChatRequest, ChatResponse +from qllm.chat.engine import get_chat_engine +from qllm.models import model + +logger = logging.getLogger("uvicorn") + +conversation_route = r = APIRouter() + + +async def fetch_conversation( + db: AsyncSession, conversation_id: str +) -> Optional[model.Conversation]: + """ + Fetch a conversation + return None if the conversation with the given id does not exist + """ + stmt = select(model.Conversation).where(model.Conversation.id == conversation_id) + + result = await db.execute(stmt) + conversation = result.scalars().first() + return conversation + + +async def fetch_conversation_with_messages( + db: AsyncSession, conversation_id: str +) -> Optional[model.Conversation]: + """ + Fetch a conversation with its messages + messagesubprocesses + return None if the conversation with the given id does not exist + """ + # Eagerly load required relationships + stmt = ( + select(model.Conversation) + .options( + joinedload(model.Conversation.messages).subqueryload( + model.Message.sub_processes + ) + ) + .options( + joinedload(model.Conversation.conversation_document).subqueryload( + model.ConversationDocument.document + ) + ) + .where(model.Conversation.id == conversation_id) + ) + + result = await db.execute(stmt) + conversation = result.scalars().first() + + return conversation + + +@r.get("") +async def get_all_conversation( + current_user: CurrentUser, db: AsyncSession = Depends(get_db) +): + stmt = select(model.Conversation).where( + model.Conversation.user_id == current_user.id + ) + conversation = await db.execute(stmt) + return conversation.scalars().all() + + +@r.post("") +async def create_chat_conversation( + current_user: CurrentUser, db: AsyncSession = Depends(get_db) +): + conversation = model.Conversation() + conversation.title = "New conversation" + conversation.user_id = current_user.id + + db.add(conversation) + await db.commit() + await db.refresh(conversation) + return await fetch_conversation_with_messages(db, str(conversation.id)) + + +@r.get("/{conversation_id}") +async def get_conversation( + conversation_id: UUID, current_user: CurrentUser, db: AsyncSession = Depends(get_db) +): + """Get all chat histories of a user.""" + conversations = await fetch_conversation_with_messages(db, str(conversation_id)) + + if not conversations: + raise HTTPException(status_code=404, detail="Conversation not found") + + if conversations.user_id != current_user.id: + raise HTTPException( + status_code=403, detail="Not authorized to access this conversation" + ) + + return conversations + + +@r.delete("/{conversation_id}") +async def delete_conversation( + conversation_id: UUID, current_user: CurrentUser, db: AsyncSession = Depends(get_db) +): + """Delete conversation.""" + conversation = await fetch_conversation(db, str(conversation_id)) + + if not conversation: + raise HTTPException(status_code=404, detail="Conversation is not found.") + + if conversation.user_id != current_user.id: + raise HTTPException( + status_code=403, + detail="Authorization Error. User doesn't have this permission.", + ) + + await db.delete(conversation) + await db.commit() + + return {"message": "Delete conversation successfully."} + + +@r.patch("/{conversation_id}/rename") +async def rename_conversation( + conversation_id: UUID, + payload: ConversationRenameRequest, + current_user: CurrentUser, + db: AsyncSession = Depends(get_db), +): + """Rename a conversation title.""" + # Lấy cuộc hội thoại từ database + conversation = await fetch_conversation(db, str(conversation_id)) + + # Kiểm tra xem cuộc hội thoại có tồn tại không + if not conversation: + raise HTTPException(status_code=404, detail="Cuộc hội thoại không tồn tại") + + # Kiểm tra quyền truy cập + if conversation.user_id != current_user.id: + raise HTTPException( + status_code=403, detail="Không có quyền đổi tên cuộc hội thoại này" + ) + + # Cập nhật tiêu đề + conversation.title = payload.title + await db.commit() + await db.refresh(conversation) + + return conversation + + +@r.post("/{conversation_id}", response_model=ChatResponse) +async def chat_handler( + conversation_id: UUID, + payload: ChatRequest, + current_user: CurrentUser, + db: AsyncSession = Depends(get_db), + vector_store: VectorStore = Depends(get_qdrant_vector_store), +): + logger.info("Get chat engine with Qdrant vector store") + chat_engine = get_chat_engine(vector_store=vector_store) + if chat_engine is None: + raise HTTPException(status_code=500, detail="Chat Engine is not found.") + + conversation = await fetch_conversation_with_messages(db, str(conversation_id)) + + if conversation.user_id != current_user.id: + raise HTTPException( + status_code=403, detail="Not authorized to access this conversation" + ) + + histories = conversation.messages + message = payload.message + user_message = model.Message( + created_at=datetime.now(timezone.utc).replace(tzinfo=None), + updated_at=datetime.now(timezone.utc).replace(tzinfo=None), + conversation_id=conversation_id, + content=message, + role=model.MessageRoleEnum.USER, + status=model.MessageStatusEnum.SUCCESS, + ) + + chat_history = [] + if histories: + chat_history = [ + ChatMessage(role=message.role, content=message.content) + for message in histories + ] + chat_response = await chat_engine.achat(message, chat_history) + + final_status = model.MessageStatusEnum.SUCCESS + assis_message = model.Message( + created_at=datetime.now(timezone.utc).replace(tzinfo=None), + updated_at=datetime.now(timezone.utc).replace(tzinfo=None), + conversation_id=conversation_id, + content=chat_response.response, + role=model.MessageRoleEnum.ASSISTANT, + status=final_status, + ) + + db.add(user_message) + db.add(assis_message) + await db.commit() + + # Construct the response + response = ChatResponse( + conversation_id=str(conversation_id), + response=assis_message.content, + history=chat_history, + ) + return response + + +async def stream_chat_response( + conversation_id: UUID, + message: str, + chat_response: AsyncGenerator, + db: AsyncSession, +) -> AsyncGenerator[str, None]: + """Stream the chat response and save messages to database""" + user_message = model.Message( + created_at=datetime.now(timezone.utc).replace(tzinfo=None), + updated_at=datetime.now(timezone.utc).replace(tzinfo=None), + conversation_id=conversation_id, + content=message, + role=model.MessageRoleEnum.USER, + status=model.MessageStatusEnum.SUCCESS, + ) + + assis_message = model.Message( + created_at=datetime.now(timezone.utc).replace(tzinfo=None), + updated_at=datetime.now(timezone.utc).replace(tzinfo=None), + conversation_id=conversation_id, + content="", + role=model.MessageRoleEnum.ASSISTANT, + status=model.MessageStatusEnum.PENDING, + ) + + db.add(user_message) + db.add(assis_message) + await db.commit() + + full_response = "" + try: + async for token in chat_response: + full_response += token + # Send token and space info as JSON + response_data = { + "p": token, + } + yield f"data: {json.dumps(response_data)}\n\n" + + assis_message.content = full_response + assis_message.status = model.MessageStatusEnum.SUCCESS + await db.commit() + + yield "data: [DONE]\n\n" + except Exception as e: + assis_message.status = model.MessageStatusEnum.ERROR + await db.commit() + yield f"data: Error: {str(e)}\n\n" + + +@r.post("/{conversation_id}/stream") +async def stream_chat_handler( + conversation_id: UUID, + payload: ChatRequest, + current_user: CurrentUser, + db: AsyncSession = Depends(get_db), + vector_store: VectorStore = Depends(get_qdrant_vector_store), +): + logger.info("Get chat engine with Qdrant vector store") + chat_engine = get_chat_engine(vector_store=vector_store) + if chat_engine is None: + raise HTTPException(status_code=500, detail="Chat Engine is not found.") + + conversation = await fetch_conversation_with_messages(db, str(conversation_id)) + + if conversation.user_id != current_user.id: + raise HTTPException( + status_code=403, detail="Not authorized to access this conversation" + ) + + histories = conversation.messages + message = payload.message + + chat_history = [] + if histories: + chat_history = [ + ChatMessage(role=message.role, content=message.content) + for message in histories + ] + + # Lấy streaming response từ chat engine + chat_response = chat_engine.astream_chat(message, chat_history) + + return StreamingResponse( + stream_chat_response(conversation_id, payload.message, chat_response, db), + media_type="text/event-stream", + ) diff --git a/backend/qllm/api/routers/upload.py b/backend/qllm/api/routers/upload.py new file mode 100644 index 0000000..8ccd5ce --- /dev/null +++ b/backend/qllm/api/routers/upload.py @@ -0,0 +1,8 @@ +from fastapi import APIRouter + +upload_router = r = APIRouter() + + +@r.post("") +async def post_upload_handler(): + return "UPLOAD" diff --git a/backend/qllm/api/schemas/__init__.py b/backend/qllm/api/schemas/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qllm/api/schemas/auth.py b/backend/qllm/api/schemas/auth.py new file mode 100644 index 0000000..f3ea618 --- /dev/null +++ b/backend/qllm/api/schemas/auth.py @@ -0,0 +1,40 @@ +from datetime import datetime +from uuid import UUID + +from pydantic import BaseModel, EmailStr + + +class Token(BaseModel): + access_token: str + token_type: str + + +class TokenData(BaseModel): + email: str | None = None + + +class UserBase(BaseModel): + email: EmailStr + + +class UserCreate(UserBase): + password: str + + +class User(UserBase): + id: UUID + email: str + created_at: datetime + updated_at: datetime + + class Config: + from_attributes = True + + +class UserInDB(User): + hashed_password: str + + +class UserLogin(BaseModel): + email: EmailStr + password: str diff --git a/backend/qllm/api/schemas/conversation.py b/backend/qllm/api/schemas/conversation.py new file mode 100644 index 0000000..0b8de84 --- /dev/null +++ b/backend/qllm/api/schemas/conversation.py @@ -0,0 +1,5 @@ +from pydantic import BaseModel + + +class ConversationRenameRequest(BaseModel): + title: str diff --git a/backend/qllm/api/schemas/message.py b/backend/qllm/api/schemas/message.py new file mode 100644 index 0000000..3b85750 --- /dev/null +++ b/backend/qllm/api/schemas/message.py @@ -0,0 +1,33 @@ +from typing import List, Optional + +from llama_index.core.llms import ChatMessage +from pydantic import BaseModel + + +class ChatRequest(BaseModel): + message: str + + +class ChatResponse(BaseModel): + conversation_id: str + response: str + history: Optional[List[ChatMessage]] = None + + +class ChatConversationSchema(BaseModel): + id: str + chat_history_id: str + messages: List[ChatMessage] + + class Config: + orm_mode = True + + +class ChatHistorySchema(BaseModel): + id: str + user_id: str + title: str + chat_conversation_id: Optional[str] = None + + class Config: + orm_mode = True diff --git a/backend/qllm/chat/__init__.py b/backend/qllm/chat/__init__.py new file mode 100644 index 0000000..84f7da9 --- /dev/null +++ b/backend/qllm/chat/__init__.py @@ -0,0 +1,78 @@ +import importlib +import os +from typing import Dict, List, Union + +import yaml # type: ignore +from llama_index.core.tools.function_tool import FunctionTool +from llama_index.core.tools.tool_spec.base import BaseToolSpec + + +class ToolType: + LLAMAHUB = "llamahub" + LOCAL = "local" + + +class ToolFactory: + TOOL_SOURCE_PACKAGE_MAP = { + ToolType.LLAMAHUB: "llama_index.tools", + ToolType.LOCAL: "qllm.engine.tools", + } + + @staticmethod + def load_tools(tool_type: str, tool_name: str, config: dict) -> List[FunctionTool]: + source_package = ToolFactory.TOOL_SOURCE_PACKAGE_MAP[tool_type] + try: + if "ToolSpec" in tool_name: + tool_package, tool_cls_name = tool_name.split(".") + module_name = f"{source_package}.{tool_package}" + module = importlib.import_module(module_name) + tool_class = getattr(module, tool_cls_name) + tool_spec: BaseToolSpec = tool_class(**config) + return tool_spec.to_tool_list() + else: + module = importlib.import_module(f"{source_package}.{tool_name}") + tools = module.get_tools(**config) + if not all(isinstance(tool, FunctionTool) for tool in tools): + raise ValueError( + f"The module {module} does not contain valid tools" + ) + return tools + except ImportError as e: + raise ValueError(f"Failed to import tool {tool_name}: {e}") + except AttributeError as e: + raise ValueError(f"Failed to load tool {tool_name}: {e}") + + @staticmethod + def from_env( + map_result: bool = False, + ) -> Union[Dict[str, List[FunctionTool]], List[FunctionTool]]: + """ + Load tools from the configured file. + + Args: + map_result: If True, return a map of tool names to their corresponding tools. + + Returns: + A dictionary of tool names to lists of FunctionTools if map_result is True, + otherwise a list of FunctionTools. + """ + tools: Union[Dict[str, FunctionTool], List[FunctionTool]] = ( + {} if map_result else [] + ) + + if os.path.exists("config/tools.yaml"): + with open("config/tools.yaml", "r") as f: + tool_configs = yaml.safe_load(f) + for tool_type, config_entries in tool_configs.items(): + for tool_name, config in config_entries.items(): + loaded_tools = ToolFactory.load_tools( + tool_type, tool_name, config + ) + if map_result: + tools.update( # type: ignore + {tool.metadata.name: tool for tool in loaded_tools} + ) + else: + tools.extend(loaded_tools) # type: ignore + + return tools diff --git a/backend/qllm/chat/engine.py b/backend/qllm/chat/engine.py new file mode 100644 index 0000000..26bb89b --- /dev/null +++ b/backend/qllm/chat/engine.py @@ -0,0 +1,149 @@ +import os +from datetime import UTC, datetime +from typing import AsyncGenerator, Dict, List, Optional + +from llama_index.core.agent import ReActAgent +from llama_index.core.base.llms.types import ChatMessage +from llama_index.core.callbacks import CallbackManager +from llama_index.core.query_engine import SubQuestionQueryEngine +from llama_index.core.settings import Settings +from llama_index.core.tools import QueryEngineTool, ToolMetadata +from llama_index.core.vector_stores.types import VectorStore +from sqlalchemy.ext.asyncio import AsyncSession + +from qllm.chat.index import IndexConfig, get_index +from qllm.chat.synthesizer import get_medical_response_synth +from qllm.chat.tools.pubmed_tool import get_tools as get_pubmed_tools +from qllm.models.model import Document as DocumentSchema +from qllm.prompts import PromptRegistry +from qllm.services.memory_service import MemoryService + + +class ChatEngine: + def __init__( + self, + vector_store: Optional[VectorStore] = None, + db: Optional[AsyncSession] = None, + documents: Optional[List[DocumentSchema]] = None, + filters=None, + params=None, + event_handlers=None, + ): + # Lấy system prompt từ registry + self.system_prompt = PromptRegistry.get("system").format() + self.TOP_K = int(os.getenv("TOP_K", "0")) + + # Khởi tạo các components + self.callback_manager = CallbackManager(handlers=event_handlers) + + if db and vector_store: + self.memory_service = MemoryService( + db=db, vector_store=vector_store, embed_model=Settings.embed_model + ) + + # Khởi tạo response synthesizer + # self.response_synth = get_medical_response_synth(documents or []) + self.response_synth = get_medical_response_synth() + + # Khởi tạo vector store query engine + vector_query_tools = [] + if vector_store is not None: + index_config = IndexConfig( + callback_managers=self.callback_manager, **(params or {}) + ) + index = get_index(vector_store, index_config) + if index is not None: + medical_records_engine = index.as_query_engine( + filters=filters, + ) + vector_query_tools.append( + QueryEngineTool( + query_engine=medical_records_engine, + metadata=ToolMetadata( + name="medical_records", + description="Công cụ tìm kiếm trong hồ sơ y tế của bệnh nhân. Sử dụng khi cần tra cứu thông tin về bệnh án, kết quả xét nghiệm, và lịch sử điều trị.", + ), + ) + ) + + # Khởi tạo PubMed tools + pubmed_tools = get_pubmed_tools() + + # Tạo SubQuestionQueryEngine cho medical records + self.medical_records_engine = SubQuestionQueryEngine.from_defaults( + query_engine_tools=vector_query_tools, + response_synthesizer=self.response_synth, + verbose=True, + use_async=True, + ) + + # Tạo SubQuestionQueryEngine cho PubMed + self.pubmed_engine = SubQuestionQueryEngine.from_defaults( + query_engine_tools=pubmed_tools, + response_synthesizer=self.response_synth, + verbose=True, + use_async=True, + ) + + # Tạo top-level tools cho ReActAgent + self.tools = [ + QueryEngineTool( + query_engine=self.medical_records_engine, + metadata=ToolMetadata( + name="medical_records_engine", + description="Công cụ truy vấn hồ sơ y tế. Sử dụng khi cần tìm kiếm thông tin từ hồ sơ bệnh án của bệnh nhân.", + ), + ), + QueryEngineTool( + query_engine=self.pubmed_engine, + metadata=ToolMetadata( + name="pubmed_engine", + description="Công cụ tìm kiếm thông tin y khoa từ PubMed. Sử dụng khi cần tra cứu thông tin về bệnh lý, phương pháp điều trị, và nghiên cứu y học.", + ), + ), + ] + + # Khởi tạo ReActAgent + self.agent = ReActAgent.from_llm( + llm=Settings.llm, + tools=self.tools, + callback_manager=self.callback_manager, + system_prompt=self.system_prompt, + verbose=True, + ) + + async def achat( + self, + message: str, + chat_history: Optional[List[ChatMessage]] = None, + user_id: Optional[str] = None, + ): + """ + Xử lý tin nhắn của người dùng với query transform và memory. + """ + # Transform query thành các subqueries + + final_response = await self.agent.achat(message, chat_history) + + return final_response + + async def astream_chat( + self, + message: str, + chat_history: Optional[List[ChatMessage]] = None, + ) -> AsyncGenerator[str, None]: + """ + Phiên bản streaming của phương thức chat. + Trả về một async generator để stream từng token của response. + """ + response_stream = await self.agent.astream_chat(message, chat_history) + + async for response in response_stream.async_response_gen(): + yield response + + +def get_chat_engine(**kwargs): + """ + Factory function để tạo ChatEngine. + """ + return ChatEngine(**kwargs) diff --git a/backend/qllm/chat/index.py b/backend/qllm/chat/index.py new file mode 100644 index 0000000..bcc4ee3 --- /dev/null +++ b/backend/qllm/chat/index.py @@ -0,0 +1,63 @@ +import logging +import os +from datetime import timedelta +from typing import Optional + +from cachetools import TTLCache, cached +from fsspec.asyn import AsyncFileSystem +from llama_index.core import StorageContext, VectorStoreIndex, load_index_from_storage +from llama_index.core.callbacks import CallbackManager +from llama_index.core.vector_stores.types import VectorStore +from pydantic import BaseModel, Field + +from qllm.core.config import settings + +logger = logging.getLogger("uvicorn") + +STORAGE_DIR: str = settings.STORAGE_DIR or "storage" + + +class IndexConfig(BaseModel): + persist_dir: Optional[str] = Field( + default=STORAGE_DIR, + ) + + callback_managers: Optional[CallbackManager] = Field( + default=None, + ) + + +def get_index( + vector_store: Optional[VectorStore] = None, + config: Optional[IndexConfig] = None, +): + if config is None: + config = IndexConfig() + + if not os.path.exists(config.persist_dir): + return None + + logger.info(f"Loading index from {config.persist_dir}...") + storage_context = get_storage_context( + persist_dir=None, + vector_store=vector_store, + ) + index = VectorStoreIndex.from_vector_store( + vector_store=vector_store, + callback_managers=config.callback_managers, + ) + + logger.info(f"Finished loading index from {config.persist_dir}") + return index + + +@cached( + TTLCache(maxsize=10, ttl=timedelta(minutes=5).total_seconds()), + key=lambda *args, **kwargs: "global_storage_context", +) +def get_storage_context( + persist_dir: Optional[str], + vector_store: Optional[VectorStore], +): + logger.info("Creating new storage context.") + return StorageContext.from_defaults(vector_store=vector_store) diff --git a/backend/qllm/chat/query_transform.py b/backend/qllm/chat/query_transform.py new file mode 100644 index 0000000..9356aa7 --- /dev/null +++ b/backend/qllm/chat/query_transform.py @@ -0,0 +1,50 @@ +from typing import List + +from llama_index.core.base.llms.types import ChatMessage +from llama_index.core.settings import Settings + +from qllm.prompts import PromptRegistry + + +class QueryTransformer: + def __init__(self): + self.llm = Settings.llm + self.prompt = PromptRegistry.get("query_transform") + + async def transform( + self, query: str, chat_history: List[ChatMessage] = None + ) -> List[str]: + """ + Chuyển đổi câu hỏi gốc thành các câu hỏi phụ. + + Args: + query: Câu hỏi gốc của người dùng + chat_history: Lịch sử trò chuyện (tùy chọn) + + Returns: + List[str]: Danh sách các câu hỏi phụ + """ + chat_history_str = "" + if chat_history: + chat_history_str = "\n".join( + [ + f"{msg.role}: {msg.content}" + for msg in chat_history[-5:] # Chỉ lấy 5 tin nhắn gần nhất + ] + ) + + prompt_str = self.prompt.format(query=query, chat_history=chat_history_str) + + response = await self.llm.acomplete(prompt_str) + + # Xử lý kết quả để lấy các câu hỏi phụ + subqueries = [] + for line in response.text.strip().split("\n"): + if line and line[0].isdigit(): + # Loại bỏ số thứ tự và dấu chấm + subquery = line.split(".", 1)[1].strip() + # Loại bỏ dấu ngoặc vuông nếu có + subquery = subquery.strip("[]") + subqueries.append(subquery) + + return subqueries diff --git a/backend/qllm/chat/synthesizer.py b/backend/qllm/chat/synthesizer.py new file mode 100644 index 0000000..d115adc --- /dev/null +++ b/backend/qllm/chat/synthesizer.py @@ -0,0 +1,63 @@ +from typing import List + +from llama_index.core.prompts.prompt_type import PromptType +from llama_index.core.prompts.prompts import QuestionAnswerPrompt, RefinePrompt +from llama_index.core.response_synthesizers import BaseSynthesizer +from llama_index.core.response_synthesizers.factory import get_response_synthesizer + +from qllm.models.model import Document as DocumentSchema + + +# def get_medical_response_synth(documents: List[DocumentSchema]) -> BaseSynthesizer: +def get_medical_response_synth() -> BaseSynthesizer: + # doc_titles = "\n".join("- " + doc.title for doc in documents) + + refine_template_str = f""" +Bạn là một trợ lý y tế AI đang phân tích các tài liệu y tế của bệnh nhân và thông tin từ PubMed. \ +Các tài liệu y tế bao gồm: + +Câu hỏi ban đầu là: {{query_str}} +Chúng ta đã có câu trả lời hiện tại: {{existing_answer}} + +Dưới đây là thêm thông tin bổ sung: +------------ +{{context_msg}} +------------ + +Dựa trên thông tin mới, hãy tinh chỉnh câu trả lời ban đầu để trả lời tốt hơn. \ +Nếu thông tin không hữu ích, giữ nguyên câu trả lời ban đầu. + +Câu trả lời tinh chỉnh: +""".strip() + + qa_template_str = f""" +Bạn là một trợ lý y tế AI đang phân tích các tài liệu y tế của bệnh nhân và thông tin từ PubMed. \ +Các tài liệu y tế bao gồm: + +Thông tin ngữ cảnh: +--------------------- +{{context_str}} +--------------------- + +Dựa trên thông tin ngữ cảnh được cung cấp và không sử dụng kiến thức trước đó, \ +hãy trả lời câu hỏi sau. + +Câu hỏi: {{query_str}} +Câu trả lời: +""".strip() + + refine_prompt = RefinePrompt( + template=refine_template_str, + prompt_type=PromptType.REFINE, + ) + + qa_prompt = QuestionAnswerPrompt( + template=qa_template_str, + prompt_type=PromptType.QUESTION_ANSWER, + ) + + return get_response_synthesizer( + refine_template=refine_prompt, + text_qa_template=qa_prompt, + structured_answer_filtering=False, + ) diff --git a/backend/qllm/chat/tools/pubmed_tool.py b/backend/qllm/chat/tools/pubmed_tool.py new file mode 100644 index 0000000..b0ed913 --- /dev/null +++ b/backend/qllm/chat/tools/pubmed_tool.py @@ -0,0 +1,68 @@ +from typing import List + +from llama_index.core.base.response.schema import Response +from llama_index.core.query_engine.custom import CustomQueryEngine +from llama_index.core.schema import Document +from llama_index.core.tools import QueryEngineTool, ToolMetadata +from llama_index.readers.papers import PubmedReader +from pydantic import Field + + +class PubMedQueryEngine(CustomQueryEngine): + """Custom query engine để tìm kiếm trên PubMed.""" + + max_results: int = Field( + default=2, description="Số lượng kết quả tối đa trả về từ PubMed" + ) + + def custom_query(self, query_str: str) -> Response: + """ + Thực hiện tìm kiếm trên PubMed và trả về kết quả. + + Args: + query_str (str): Câu truy vấn tìm kiếm + + Returns: + Response: Kết quả tìm kiếm được định dạng + """ + loader = PubmedReader() + documents: List[Document] = loader.load_data( + search_query=query_str, max_results=self.max_results + ) + + if not documents or len(documents) == 0: + response_text = "Không tìm thấy bài báo nào phù hợp với từ khóa tìm kiếm." + else: + # Tạo response text từ documents + response_text = "" + for idx, doc in enumerate(documents, 1): + extra_info = doc.extra_info + max_length = min(100, len(doc.text)) + + response_text += f"\nBài báo {idx}:\n" + response_text += ( + f"Tiêu đề: {extra_info.get('Title of this paper', 'N/A')}\n" + ) + response_text += f"Tạp chí: {extra_info.get('Journal it was published in:', 'N/A')}\n" + response_text += f"URL: {extra_info.get('URL', 'N/A')}\n" + response_text += f"Nội dung:\n{doc.text[:max_length]}\n" + response_text += "-" * 50 + "\n" + + return Response(response=response_text) + + +def get_tools() -> List[QueryEngineTool]: + """ + Trả về danh sách các công cụ PubMed dưới dạng QueryEngineTool. + """ + pubmed_engine = PubMedQueryEngine() + + return [ + QueryEngineTool( + query_engine=pubmed_engine, + metadata=ToolMetadata( + name="pubmed_search", + description="Tìm kiếm các bài báo khoa học y tế trên PubMed. Hữu ích khi cần tìm thông tin về các nghiên cứu y học, bệnh lý, điều trị, v.v.", + ), + ) + ] diff --git a/backend/qllm/core/__init__.py b/backend/qllm/core/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qllm/core/config.py b/backend/qllm/core/config.py new file mode 100644 index 0000000..d3d5381 --- /dev/null +++ b/backend/qllm/core/config.py @@ -0,0 +1,108 @@ +import secrets +from enum import Enum +from typing import Annotated, Any, List, Literal, Optional + +from pydantic import AnyUrl, BeforeValidator, HttpUrl, PostgresDsn +from pydantic_core import MultiHostUrl +from pydantic_settings import BaseSettings + + +def parse_cors(v: Any) -> List[str] | str: + """ + Parses CORS origins input into a list or returns the input as is. + """ + if isinstance(v, str) and not v.startswith("["): + return [i.strip() for i in v.split(",")] + elif isinstance(v, (list, str)): + return v + raise ValueError(v) + + +class AppEnvironment(str, Enum): + """ + Enum for app environments. + """ + + LOCAL = "local" + PREVIEW = "preview" + PRODUCTION = "production" + + +class ApplicationSetting(BaseSettings): + """ + Application settings. + """ + + PROJECT_NAME: str = "QLLM" + API_PREFIX: str = "/api/v1" + SECRET_KEY: str = secrets.token_urlsafe(32) + ACCESS_TOKEN_EXPIRE_MINUTES: int = 11520 + UVICORN_WORKER_COUNT: Optional[int] = None + BACKEND_CORS_ORIGINS: Optional[ + Annotated[ + List[AnyUrl] | str, + BeforeValidator(parse_cors), + ] + ] = None + STORAGE_DIR: str = "storage" + + FRONTEND_HOST: str = "http://localhost:3000" + ENVIRONMENT: Literal["local", "staging", "production"] = "local" + LOG_LEVEL: Literal["DEBUG", "INFO", "ERROR", "WARNING"] = "DEBUG" + SENTRY_DSN: Optional[HttpUrl] = None + + SECRET_KEY: str = "secret-key" + ALGORITHM: str = "HS256" + + # Database config + POSTGRES_SERVER: str = "" + POSTGRES_PORT: int = 5432 + POSTGRES_USER: str = "" + POSTGRES_PASSWORD: str = "" + POSTGRES_DB: str = "" + + # LLM Config + LLM_TEMPERATURE: float = 0.5 + LLM_MAX_TOKENS: int | None = None # Default or set a specific value + EMBEDDING_DIM: int = 1536 + EMBEDDING_MODEL: Optional[str] = None + + # OpenAI Config + LLM_OPENAI_MODEL: Optional[str] = "gpt-4o-mini" + OPENAI_API_KEY: str + + # Qdrant Config + ## Self-host + QDRANT_HOST: str = "localhost" + QDRANT_PORT: int = 6333 + ## On cloud + QDRANT_URL: Optional[str] = None + QDRANT_API_KEY: Optional[str] = None + COLLECTION_NAME: str = "document" + + # Deployment + RENDER: bool = False + CODESPACES: bool = False + CODESPACE_NAME: Optional[str] + + class Config: + env_file = ".env" + env_file_encoding = "utf-8" + + @property + def SQLALCHEMY_DATABASE_URI(self) -> PostgresDsn: + """ + Builds the SQLAlchemy-compatible database URI. + """ + return MultiHostUrl.build( + scheme="postgresql+asyncpg", + username=self.POSTGRES_USER, + password=self.POSTGRES_PASSWORD, + host=self.POSTGRES_SERVER, + port=self.POSTGRES_PORT, + path=self.POSTGRES_DB, + ) + + +# Initialize settings +settings = ApplicationSetting() diff --git a/backend/qllm/core/database.py b/backend/qllm/core/database.py new file mode 100644 index 0000000..823ae9b --- /dev/null +++ b/backend/qllm/core/database.py @@ -0,0 +1,8 @@ +from sqlalchemy.ext.asyncio import async_sessionmaker, create_async_engine + +from qllm.core.config import settings + +DATABASE_URL = settings.SQLALCHEMY_DATABASE_URI + +engine = create_async_engine(str(DATABASE_URL)) +async_session_maker = async_sessionmaker(engine, expire_on_commit=False) diff --git a/backend/qllm/core/logger.py b/backend/qllm/core/logger.py new file mode 100644 index 0000000..6fe1d72 --- /dev/null +++ b/backend/qllm/core/logger.py @@ -0,0 +1,34 @@ +import logging + +from qllm.core.config import settings + + +def get_logging_level(log_level: str) -> int: + level = 0 + if log_level == "INFO": + level = logging.INFO + elif log_level == "DEBUG": + level = logging.DEBUG + elif log_level == "WARNING": + level = logging.WARNING + else: + level = logging.ERROR + + return level + + +def configure_logging(): + """ + Configures logging for the application. Logs are written to both + console and a file named `log/app.log`. + """ + logging_level = get_logging_level(settings.LOG_LEVEL) + + logging.basicConfig( + level=logging_level, + format="%(asctime)s [%(levelname)s] %(message)s", + handlers=[ + logging.FileHandler("log/app.log"), + logging.StreamHandler(), + ], + ) diff --git a/backend/qllm/core/utils.py b/backend/qllm/core/utils.py new file mode 100644 index 0000000..7b2c9c5 --- /dev/null +++ b/backend/qllm/core/utils.py @@ -0,0 +1,17 @@ +import logging +import os + +from fastapi import FastAPI +from fastapi.staticfiles import StaticFiles + +logger = logging.getLogger("uvicorn") + + +def mount_static_files(app: FastAPI, directory: str, path: str, html: bool = False): + if os.path.exists(directory): + logger.info(f"Mounting static files '{directory}' at '{path}'") + app.mount( + path, + StaticFiles(directory=directory, check_dir=False, html=html), + name=f"{directory}-static", + ) diff --git a/backend/qllm/core/vector_store.py b/backend/qllm/core/vector_store.py new file mode 100644 index 0000000..e6c0b66 --- /dev/null +++ b/backend/qllm/core/vector_store.py @@ -0,0 +1,56 @@ +import logging + +from llama_index.core.vector_stores.types import VectorStore +from llama_index.vector_stores.qdrant import QdrantVectorStore +from qdrant_client import AsyncQdrantClient, QdrantClient + +from qllm.core.config import settings +from qllm.services.qdrant_service import init_qdrant + +logger = logging.getLogger("uvicorn") + +init_index = False +singleton_vector_store = None + + +def get_vector_store() -> VectorStore: + global singleton_vector_store + if singleton_vector_store is not None: + return singleton_vector_store + + if settings.QDRANT_URL is not None and settings.QDRANT_API_KEY is not None: + logger.info("Use Qdrant cloud - https://cloud.qdrant.io/.") + aclient = AsyncQdrantClient( + url=settings.QDRANT_URL, api_key=settings.QDRANT_API_KEY + ) + client = QdrantClient(url=settings.QDRANT_URL, api_key=settings.QDRANT_API_KEY) + else: + logger.info( + f"Use local Qdrant on host: {settings.QDRANT_HOST}:{settings.QDRANT_PORT}" + ) + aclient = AsyncQdrantClient( + host=settings.QDRANT_HOST, port=settings.QDRANT_PORT + ) + client = QdrantClient(host=settings.QDRANT_HOST, port=settings.QDRANT_PORT) + + singleton_vector_store = QdrantVectorStore( + client=client, + aclient=aclient, + collection_name=settings.COLLECTION_NAME, + ) + + return singleton_vector_store + + +async def run_init_vector_store(): + global init_index + if init_index: + return + + if singleton_vector_store is None: + raise Exception( + "Vector store is not initialized. Please try initializing before init collection." + ) + + await init_qdrant() + init_index = True diff --git a/backend/qllm/dev.py b/backend/qllm/dev.py new file mode 100644 index 0000000..d69502f --- /dev/null +++ b/backend/qllm/dev.py @@ -0,0 +1,8 @@ +from qllm.models.base import Base + + +async def init_dev(engine): + async with engine.begin() as conn: + await conn.run_sync(Base.metadata.drop_all) + async with engine.begin() as conn: + await conn.run_sync(Base.metadata.create_all) diff --git a/backend/qllm/index.py b/backend/qllm/index.py new file mode 100644 index 0000000..ddc36c9 --- /dev/null +++ b/backend/qllm/index.py @@ -0,0 +1,93 @@ +import logging +import os +from multiprocessing import Lock +from multiprocessing.managers import BaseManager + +from llama_index.core import ( + SimpleDirectoryReader, + StorageContext, + VectorStoreIndex, + load_index_from_storage, +) +from llama_index.core.base.response.schema import RESPONSE_TYPE +from llama_index.core.schema import QueryType + +from qllm.core.config import configure_logging + +configure_logging() + +index_lock = Lock() +index: VectorStoreIndex | None = None + + +def initialize_index(): + global index, index_lock + + index_dir = "./.index" + document_dir = "./documents" + + storage_context = StorageContext.from_defaults(persist_dir=index_dir) + with index_lock: + try: + if os.path.exists(index_dir): + logging.info("Index directory exists. Loading index from storage.") + index = load_index_from_storage(storage_context) + else: + logging.info("Index directory not found. Creating a new index.") + dir_reader = SimpleDirectoryReader(document_dir) + documents = dir_reader.load_data() + + index = VectorStoreIndex.from_documents( + documents=documents, storage_context=storage_context + ) + index.storage_context.persist(index_dir) + logging.info("Index created and persisted successfully.") + except Exception as e: + logging.error(f"Error during index initialization: {e}", exc_info=True) + + +def query_index(query_text: QueryType) -> RESPONSE_TYPE: + global index + + try: + logging.info(f"Executing query: {query_text}") + query_engine = index.as_query_engine() + queried_text = query_engine.query(query_text) + logging.info(f"Query executed successfully.") + return queried_text + except Exception as e: + logging.error(f"Error during query execution: {e}", exc_info=True) + raise + + +def insert_into_index(filepath, doc_id: str | None = None): + global index, index_lock + + try: + logging.info(f"Inserting document from: {filepath} with doc_id: {doc_id}") + documents = SimpleDirectoryReader(filepath).load_data()[0] + if doc_id is not None: + documents.doc_id = doc_id + + with index_lock: + index.insert(documents) + index.storage_context.persist() + logging.info(f"Document inserted and index persisted successfully.") + except Exception as e: + logging.error(f"Error during document insertion: {e}", exc_info=True) + + +if __name__ == "__main__": + try: + logging.info("Starting application.") + initialize_index() + + manager = BaseManager(("127.0.0.1", 5602), b"Password") + manager.register("query_index", query_index) + manager.register("insert_into_index", insert_into_index) + server = manager.get_server() + + logging.info("Server started. Waiting for connections.") + server.serve_forever() + except Exception as e: + logging.critical(f"Critical error in main process: {e}", exc_info=True) diff --git a/backend/qllm/init_setting.py b/backend/qllm/init_setting.py new file mode 100644 index 0000000..6ffdd3a --- /dev/null +++ b/backend/qllm/init_setting.py @@ -0,0 +1,36 @@ +from llama_index.core.callbacks import CallbackManager, LlamaDebugHandler +from llama_index.core.settings import Settings + +from qllm.core.config import settings as app_settings + + +def init_debug_handler(): + # Add debug handler (new code) + llama_debug = LlamaDebugHandler(print_trace_on_end=True) + Settings.callback_manager = CallbackManager([llama_debug]) + + +def init_openai(): + from llama_index.core.constants import DEFAULT_TEMPERATURE + from llama_index.embeddings.openai import OpenAIEmbedding + from llama_index.llms.openai import OpenAI + + max_tokens = app_settings.LLM_MAX_TOKENS + temperature = app_settings.LLM_TEMPERATURE + + Settings.llm = OpenAI( + model=app_settings.LLM_OPENAI_MODEL, + temperature=( + float(temperature) if temperature is not None else DEFAULT_TEMPERATURE + ), + max_tokens=int(max_tokens) if max_tokens is not None else None, + ) + + dimensions = app_settings.EMBEDDING_DIM + embedding_model = app_settings.EMBEDDING_MODEL + Settings.embed_model = OpenAIEmbedding( + model=embedding_model or "text-embedding-3-small", + dimensions=dimensions, + ) + + init_debug_handler() diff --git a/backend/qllm/main.py b/backend/qllm/main.py new file mode 100644 index 0000000..8d78855 --- /dev/null +++ b/backend/qllm/main.py @@ -0,0 +1,160 @@ +import logging +import sys +from contextlib import asynccontextmanager + +import alembic +import uvicorn +from alembic import script +from alembic.config import Config +from alembic.runtime import migration +from fastapi import FastAPI +from fastapi.middleware.cors import CORSMiddleware +from llama_index.core.node_parser.text.utils import split_by_sentence_tokenizer +from sqlalchemy.engine import Engine, create_engine + +# from qllm.core.utils import mount_static_files +from qllm.api.routers import api_router +from qllm.core.config import AppEnvironment, settings +from qllm.core.vector_store import get_vector_store, run_init_vector_store +from qllm.init_setting import init_openai +from qllm.services.db.wait_for_db import check_database_connection + +logger = logging.getLogger("uvicorn") + + +def check_current_head(alembic_cfg: Config, connectable: Engine) -> bool: + directory = script.ScriptDirectory.from_config(alembic_cfg) + with connectable.begin() as connection: + context = migration.MigrationContext.configure(connection) + return set(context.get_current_heads()) == set(directory.get_heads()) + + +def __setup_logging(log_level: str): + log_level = getattr(logging, log_level.upper()) + log_formatter = logging.Formatter( + "%(asctime)s [%(threadName)-12.12s] [%(levelname)-5.5s] %(message)s" + ) + root_logger = logging.getLogger() + root_logger.setLevel(log_level) + + stream_handler = logging.StreamHandler(sys.stdout) + stream_handler.setFormatter(log_formatter) + root_logger.addHandler(stream_handler) + logger.info("Set up logging with log level %s", log_level) + + +@asynccontextmanager +async def lifespan(app: FastAPI): + import os + from pathlib import Path + + # first wait for DB to be connectable + await check_database_connection() + + current_path = Path(__file__).parent + cfg = Config(os.path.join(current_path, "alembic.ini")) + # Change DB URL to use psycopg2 driver for this specific check + db_url = str(settings.SQLALCHEMY_DATABASE_URI).replace( + "postgresql+asyncpg://", "postgresql+psycopg2://" + ) + script_location = cfg.get_main_option("script_location", "alembic") + script_location = str(os.path.join(current_path, script_location)) + cfg.set_main_option("script_location", script_location) + + cfg.set_main_option("sqlalchemy.url", db_url) + engine = create_engine(db_url, echo=True) + if not check_current_head(cfg, engine): + raise Exception( + "Database is not up to date. Please run `poetry run alembic upgrade head`" + ) + # initialize pg vector store singleton + vector_store = get_vector_store() + await run_init_vector_store() + + init_openai() + + try: + # Some setup is required to initialize the llama-index sentence splitter + # for checking dependencies + split_by_sentence_tokenizer() + except FileExistsError: + # Sometimes seen in deployments, should be benign. + logger.info("Tried to re-download NLTK files but already exists.") + yield + # This section is run on app shutdown + await vector_store.close() + + +app = FastAPI( + title=settings.PROJECT_NAME, + openapi_url=f"{settings.API_PREFIX}/openapi.json", + lifespan=lifespan, +) + + +if settings.BACKEND_CORS_ORIGINS: + logger.info("CORS enabled for %s", settings.BACKEND_CORS_ORIGINS) + # origins = settings.BACKEND_CORS_ORIGINS.copy() + origins = str(settings.BACKEND_CORS_ORIGINS) + if ( + settings.CODESPACES + and settings.CODESPACE_NAME + and settings.ENVIRONMENT == AppEnvironment.LOCAL + ): + # add codespace origin if running in Github codespace + origins.append(f"https://{settings.CODESPACE_NAME}-3000.app.github.dev") + # allow all origins + app.add_middleware( + CORSMiddleware, + allow_origins=origins, + allow_origin_regex="https://llama-app-frontend.*\.vercel\.app", + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + ) +else: + origins = [ + "http://localhost", + "http://localhost:8080", + "http://127.0.0.1", + "http://127.0.0.1:8000", + "http://0.0.0.0", + "http://localhost:5173", + ] + + app.add_middleware( + CORSMiddleware, + allow_origins=origins, + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], + ) + +app.include_router(api_router, prefix=settings.API_PREFIX) + +# Mount the data files to serve the file viewer +# mount_static_files("data", "/api/files/data") +# Mount the output files from tools +# mount_static_files("output", "/api/files/output") + + +def start(): + """Launched with `poetry run start` at root level""" + print("Running in AppEnvironment: " + settings.ENVIRONMENT) + __setup_logging(settings.LOG_LEVEL) + if settings.RENDER: + # on render.com deployments, run migrations + logger.debug("Running migrations") + alembic_args = ["--raiseerr", "upgrade", "head"] + alembic.config.main(argv=alembic_args) + logger.debug("Migrations complete") + else: + logger.debug("Skipping migrations") + live_reload = not settings.RENDER + uvicorn.run( + "qllm.main:app", + host="0.0.0.0", + port=8000, + reload=live_reload, + workers=settings.UVICORN_WORKER_COUNT, + ) diff --git a/backend/qllm/models/__init__.py b/backend/qllm/models/__init__.py new file mode 100644 index 0000000..21435e7 --- /dev/null +++ b/backend/qllm/models/__init__.py @@ -0,0 +1,2 @@ +from . import model +from .base import Base diff --git a/backend/qllm/models/base.py b/backend/qllm/models/base.py new file mode 100644 index 0000000..ac950e8 --- /dev/null +++ b/backend/qllm/models/base.py @@ -0,0 +1,21 @@ +from uuid import uuid4 + +from sqlalchemy import UUID, Column, DateTime +from sqlalchemy.ext.declarative import declared_attr +from sqlalchemy.orm import DeclarativeBase +from sqlalchemy.sql import func + + +class Base(DeclarativeBase): + id = Column(UUID, primary_key=True, index=True, default=uuid4) + created_at = Column(DateTime, server_default=func.now(), nullable=False) + updated_at = Column( + DateTime, server_default=func.now(), onupdate=func.now(), nullable=False + ) + + __name__: str + + # Generate __tablename__ automatically + @declared_attr + def __tablename__(cls) -> str: + return cls.__name__.lower() diff --git a/backend/qllm/models/model.py b/backend/qllm/models/model.py new file mode 100644 index 0000000..81092ea --- /dev/null +++ b/backend/qllm/models/model.py @@ -0,0 +1,186 @@ +from datetime import UTC, datetime +from enum import Enum + +from sqlalchemy import JSON, UUID, Column, DateTime, Float, ForeignKey, String, Text +from sqlalchemy.dialects.postgresql import ENUM, JSONB +from sqlalchemy.orm import relationship, validates + +from .base import Base + + +class User(Base): + email = Column(String, unique=True, index=True) + password_hash = Column(String) + + # Relationships + conversations = relationship( + "Conversation", back_populates="user", cascade="all, delete-orphan" + ) + medical_records = relationship( + "MedicalRecord", back_populates="user", cascade="all, delete-orphan" + ) + memories = relationship( + "Memory", back_populates="user", cascade="all, delete-orphan" + ) + memory_indices = relationship( + "MemoryIndex", back_populates="user", cascade="all, delete-orphan" + ) + + # Validation + @validates("email") + def validate_email(self, key, email): + if "@" not in email: + raise ValueError("Invalid email address") + return email + + +class Conversation(Base): + # Define columns + document_id = Column(UUID(as_uuid=True), nullable=True) + + # Other columns + title = Column(String, nullable=False) + user_id = Column(UUID(as_uuid=True), ForeignKey("user.id"), nullable=False) + + # Relationships + messages = relationship( + "Message", back_populates="conversation", cascade="all, delete-orphan" + ) + user = relationship("User", back_populates="conversations") + conversation_document = relationship( + "ConversationDocument", + back_populates="conversation", + cascade="all, delete-orphan", + ) + + +class MessageRoleEnum(str, Enum): + USER = "user" + ASSISTANT = "assistant" + + +class MessageStatusEnum(str, Enum): + PENDING = "PENDING" + SUCCESS = "SUCCESS" + ERROR = "ERROR" + + +class MessageSubProcessStatusEnum(str, Enum): + PENDING = "PENDING" + FINISHED = "FINISHED" + + +def to_pg_enum(enum_class) -> ENUM: + return ENUM(enum_class, name=enum_class.__name__) + + +class Document(Base): + """ + A document along with its metadata + """ + + # URL to the actual document (e.g. a PDF) + url = Column(String, nullable=False, unique=True) + metadata_map = Column(JSONB, nullable=True) + conversation = relationship( + "ConversationDocument", back_populates="document", cascade="all, delete-orphan" + ) + + +class ConversationDocument(Base): + """ + A many-to-many relationship between a conversation and a document + """ + + conversation_id = Column( + UUID(as_uuid=True), ForeignKey("conversation.id"), index=True + ) + document_id = Column(UUID(as_uuid=True), ForeignKey("document.id"), index=True) + conversation = relationship("Conversation", back_populates="conversation_document") + document = relationship("Document", back_populates="conversation") + + +class Message(Base): + """ + A message in a conversation + """ + + conversation_id = Column( + UUID(as_uuid=True), ForeignKey("conversation.id"), index=True + ) + content = Column(String) + role = Column(to_pg_enum(MessageRoleEnum), nullable=False) + status = Column( + to_pg_enum(MessageStatusEnum), nullable=False, default=MessageStatusEnum.PENDING + ) + + conversation = relationship("Conversation", back_populates="messages") + sub_processes = relationship( + "MessageSubProcess", back_populates="message", cascade="all, delete-orphan" + ) + + +class MessageSubProcess(Base): + """ + A record of a sub-process that occurred as part of the generation of a message from an AI assistant + """ + + message_id = Column(UUID(as_uuid=True), ForeignKey("message.id"), index=True) + # source = Column(to_pg_enum(MessageSubProcessSourceEnum)) + message = relationship("Message", back_populates="sub_processes") + status = Column( + to_pg_enum(MessageSubProcessStatusEnum), + default=MessageSubProcessStatusEnum.FINISHED, + nullable=False, + ) + metadata_map = Column(JSONB, nullable=True) + + +class MedicalRecord(Base): + user_id = Column(UUID, ForeignKey("user.id"), nullable=False) + file_name = Column(String(255), nullable=False) + file_path = Column(Text, nullable=False) + description = Column(Text, nullable=True) + + # Relationships + user = relationship("User", back_populates="medical_records") + + # Validation + @validates("file_name") + def validate_file_name(self, key, file_name): + if len(file_name) > 255: + raise ValueError("File name is too long") + return file_name + + @validates("file_path") + def validate_file_path(self, key, file_path): + if not file_path: + raise ValueError("File path cannot be empty") + return file_path + + +class MemoryType(str, Enum): + EPISODIC = "episodic" # Lưu trữ các sự kiện/tương tác cụ thể + SEMANTIC = "semantic" # Lưu trữ kiến thức tổng quát + PROCEDURAL = "procedural" # Lưu trữ các quy trình/cách thức + + +class Memory(Base): + user_id = Column(UUID, ForeignKey("user.id"), nullable=False) + type = Column(to_pg_enum(MemoryType), nullable=False) + content = Column(JSON, nullable=False) # Lưu trữ nội dung memory dưới dạng JSON + meta_data = Column(JSON) # Lưu trữ metadata bổ sung + embedding = Column(JSON) # Vector embedding của memory + importance_score = Column(Float, default=0.0) # Điểm quan trọng của memory + + # Relationships + user = relationship("User", back_populates="memories") + + +class MemoryIndex(Base): + user_id = Column(UUID, ForeignKey("user.id"), nullable=False) + memory_type = Column(to_pg_enum(MemoryType), nullable=False) + index_data = Column(JSON) # Lưu trữ cấu trúc index + + # Relationships + user = relationship("User", back_populates="memory_indices") diff --git a/backend/qllm/prompts/__init__.py b/backend/qllm/prompts/__init__.py new file mode 100644 index 0000000..f5a8ea1 --- /dev/null +++ b/backend/qllm/prompts/__init__.py @@ -0,0 +1,36 @@ +from pathlib import Path + +from .base import BasePrompt, PromptRegistry + +# Đường dẫn đến thư mục templates +TEMPLATE_DIR = Path(__file__).parent / "templates" + +# Các prompt mặc định +DEFAULT_PROMPTS = { + "system": { + "file": "system.txt", + "kwargs": { + "language": "Vietnamese", + "specialties": ["Đa khoa", "Y học cơ bản"], + "data_sources": ["PubMed", "Cơ sở dữ liệu nội bộ"], + }, + }, + "query_transform": {"file": "query_transform.txt", "kwargs": {}}, + "synthesis": {"file": "synthesis.txt", "kwargs": {}}, +} + + +def load_prompts(): + """Load và đăng ký tất cả các prompt.""" + for name, config in DEFAULT_PROMPTS.items(): + template_path = TEMPLATE_DIR / config["file"] + if template_path.exists(): + PromptRegistry.register_from_file( + name=name, file_path=str(template_path), **config.get("kwargs", {}) + ) + else: + raise FileNotFoundError(f"Template file not found: {template_path}") + + +# Load prompts khi import module +load_prompts() diff --git a/backend/qllm/prompts/base.py b/backend/qllm/prompts/base.py new file mode 100644 index 0000000..39ebfd5 --- /dev/null +++ b/backend/qllm/prompts/base.py @@ -0,0 +1,54 @@ +from typing import Any, Dict + +from llama_index.core.prompts import PromptTemplate + + +class BasePrompt: + """Class cơ sở cho tất cả các prompt.""" + + def __init__(self, template: str, **kwargs): + self.template = template + self.prompt = PromptTemplate(template) + self.kwargs = kwargs + + def format(self, **kwargs) -> str: + """ + Format prompt với các tham số được cung cấp. + """ + # Kết hợp kwargs mặc định với kwargs được cung cấp + format_kwargs = {**self.kwargs} + format_kwargs.update(kwargs) + return self.prompt.format(**format_kwargs) + + @classmethod + def from_file(cls, file_path: str, **kwargs): + """ + Tạo prompt từ file template. + """ + with open(file_path, "r", encoding="utf-8") as f: + template = f.read() + return cls(template, **kwargs) + + +class PromptRegistry: + """Quản lý tất cả các prompt trong hệ thống.""" + + _registry: Dict[str, BasePrompt] = {} + + @classmethod + def register(cls, name: str, prompt: BasePrompt): + """Đăng ký một prompt mới.""" + cls._registry[name] = prompt + + @classmethod + def get(cls, name: str) -> BasePrompt: + """Lấy prompt theo tên.""" + if name not in cls._registry: + raise KeyError(f"Prompt '{name}' không tồn tại trong registry") + return cls._registry[name] + + @classmethod + def register_from_file(cls, name: str, file_path: str, **kwargs): + """Đăng ký prompt từ file template.""" + prompt = BasePrompt.from_file(file_path, **kwargs) + cls.register(name, prompt) diff --git a/backend/qllm/prompts/templates/query_transform.txt b/backend/qllm/prompts/templates/query_transform.txt new file mode 100644 index 0000000..bf55bb3 --- /dev/null +++ b/backend/qllm/prompts/templates/query_transform.txt @@ -0,0 +1,21 @@ +Dựa trên câu hỏi của người dùng về y tế, hãy tạo ra các câu hỏi phụ để thu thập thông tin toàn diện và chính xác. +Mỗi câu hỏi phụ nên tập trung vào một khía cạnh cụ thể của vấn đề y tế được đề cập. + +Câu hỏi của người dùng: {query} + +Lịch sử trò chuyện: +{chat_history} + +Hướng dẫn tạo câu hỏi phụ: +1. Tìm hiểu về triệu chứng/bệnh lý +2. Tìm kiếm các nghiên cứu liên quan +3. Xem xét các phương pháp điều trị +4. Tìm hiểu về phòng ngừa và chăm sóc +5. Thu thập thông tin về tác động đến cuộc sống + +Format câu trả lời: +1. [Câu hỏi phụ 1] +2. [Câu hỏi phụ 2] +... + +Câu hỏi phụ: \ No newline at end of file diff --git a/backend/qllm/prompts/templates/synthesis.txt b/backend/qllm/prompts/templates/synthesis.txt new file mode 100644 index 0000000..55ac170 --- /dev/null +++ b/backend/qllm/prompts/templates/synthesis.txt @@ -0,0 +1,15 @@ +Dựa trên các thông tin thu thập được, hãy tổng hợp một câu trả lời toàn diện và dễ hiểu cho câu hỏi của người dùng. + +Câu hỏi gốc: {query} + +Thông tin từ các nguồn: +{sub_responses} + +Hướng dẫn tổng hợp: +1. Tóm tắt các điểm chính từ mỗi nguồn +2. Kết nối các thông tin liên quan +3. Sắp xếp theo thứ tự logic +4. Sử dụng ngôn ngữ dễ hiểu +5. Cung cấp nguồn tham khảo khi cần + +Câu trả lời tổng hợp: \ No newline at end of file diff --git a/backend/qllm/prompts/templates/system.txt b/backend/qllm/prompts/templates/system.txt new file mode 100644 index 0000000..44b2a52 --- /dev/null +++ b/backend/qllm/prompts/templates/system.txt @@ -0,0 +1,17 @@ +Bạn là một trợ lý AI y tế thông minh, được đào tạo để hỗ trợ các vấn đề liên quan đến y tế và sức khỏe. + +Nhiệm vụ của bạn: +1. Cung cấp thông tin y tế chính xác và dựa trên bằng chứng khoa học +2. Tìm kiếm và tổng hợp thông tin từ các nguồn đáng tin cậy như PubMed +3. Giải thích các khái niệm y học một cách dễ hiểu +4. Đề xuất các bước tiếp theo hoặc tài liệu tham khảo khi cần thiết + +Lưu ý quan trọng: +1. KHÔNG đưa ra chẩn đoán y tế +2. KHÔNG kê đơn thuốc +3. KHÔNG thay thế lời khuyên của bác sĩ +4. Luôn khuyến khích người dùng tham khảo ý kiến chuyên gia y tế + +Ngôn ngữ: {language} +Chuyên môn: {specialties} +Nguồn dữ liệu: {data_sources} \ No newline at end of file diff --git a/backend/qllm/services/__init__.py b/backend/qllm/services/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/qllm/services/db/__init__.py b/backend/qllm/services/db/__init__.py new file mode 100644 index 0000000..95d9ad1 --- /dev/null +++ b/backend/qllm/services/db/__init__.py @@ -0,0 +1 @@ +from .session import SessionLocal diff --git a/backend/qllm/services/db/session.py b/backend/qllm/services/db/session.py new file mode 100644 index 0000000..c2dfb1c --- /dev/null +++ b/backend/qllm/services/db/session.py @@ -0,0 +1,22 @@ +from sqlalchemy.ext.asyncio import async_sessionmaker, create_async_engine + +from qllm.core.config import settings + +# Database connection settings +DATABASE_URL = settings.SQLALCHEMY_DATABASE_URI + + +# Create the SQLAlchemy engine +engine = create_async_engine( + str(DATABASE_URL), + pool_pre_ping=True, + pool_size=4, # Number of connections to keep open in the pool + max_overflow=4, # Number of connections that can be opened beyond the pool_size + pool_recycle=3600, # Recycle connections after 1 hour + pool_timeout=120, # Raise an exception after 2 minutes if no connection is available from the pool +) + +# Create a configured "Session" class +SessionLocal = async_sessionmaker( + bind=engine, autocommit=False, autoflush=False, expire_on_commit=False +) diff --git a/backend/qllm/services/db/wait_for_db.py b/backend/qllm/services/db/wait_for_db.py new file mode 100644 index 0000000..76c4a2d --- /dev/null +++ b/backend/qllm/services/db/wait_for_db.py @@ -0,0 +1,23 @@ +import asyncio + +from sqlalchemy.sql import text + +from qllm.services.db.session import SessionLocal + + +async def check_database_connection( + max_attempts: int = 30, sleep_interval: int = 1 +) -> None: + for attempt in range(1, max_attempts + 1): + try: + async with SessionLocal() as db: + await db.execute(text("SELECT 1")) + print(f"Connected to the database on attempt {attempt}.") + return + except Exception as e: + print(f"Attempt {attempt}: Database is not yet available. Error: {e}") + if attempt == max_attempts: + raise ValueError( + f"Couldn't connect to database after {max_attempts} attempts." + ) from e + await asyncio.sleep(sleep_interval) diff --git a/backend/qllm/services/memory_service.py b/backend/qllm/services/memory_service.py new file mode 100644 index 0000000..0c3ad97 --- /dev/null +++ b/backend/qllm/services/memory_service.py @@ -0,0 +1,126 @@ +from datetime import datetime, timedelta +from typing import Any, Dict, List, Optional +from uuid import uuid4 + +from llama_index.core.embeddings import BaseEmbedding +from llama_index.core.schema import NodeWithScore +from llama_index.core.vector_stores.types import VectorStore +from sqlalchemy import select +from sqlalchemy.ext.asyncio import AsyncSession + +from qllm.core.config import settings +from qllm.models.model import Memory, MemoryIndex, MemoryType + + +class MemoryService: + def __init__( + self, db: AsyncSession, vector_store: VectorStore, embed_model: BaseEmbedding + ): + self.db = db + self.vector_store = vector_store + self.embed_model = embed_model + + async def add_memory( + self, + user_id: str, + content: Dict[str, Any], + memory_type: MemoryType, + metadata: Optional[Dict] = None, + importance_score: float = 0.0, + ) -> Memory: + """ + Thêm một memory mới cho user. + """ + # Tạo embedding cho content + text_content = str(content) # Convert content to string for embedding + embedding = await self.embed_model.aembed_query(text_content) + + # Tạo memory record + memory = Memory( + id=str(uuid4()), + user_id=user_id, + type=memory_type, + content=content, + metadata=metadata or {}, + embedding=embedding, + importance_score=importance_score, + ) + + # Lưu vào database + self.db.add(memory) + await self.db.commit() + + # Lưu vào vector store + self.vector_store.add( + [text_content], [embedding], [{"memory_id": memory.id, "user_id": user_id}] + ) + + return memory + + async def query_memories( + self, + user_id: str, + query: str, + memory_type: Optional[MemoryType] = None, + top_k: int = 5, + ) -> List[NodeWithScore]: + """ + Tìm kiếm các memories liên quan đến query. + """ + # Tạo embedding cho query + query_embedding = await self.embed_model.aembed_query(query) + + # Tìm kiếm trong vector store + filter_dict = {"user_id": user_id} + if memory_type: + filter_dict["type"] = memory_type.value + + results = self.vector_store.similarity_search_with_score( + query_embedding, k=top_k, filter=filter_dict + ) + + # Cập nhật last_accessed cho các memories được truy xuất + for node in results: + memory_id = node.metadata["memory_id"] + stmt = select(Memory).where(Memory.id == memory_id) + memory = (await self.db.execute(stmt)).scalar_one_or_none() + if memory: + memory.last_accessed = datetime.utcnow() + + await self.db.commit() + + return results + + async def update_memory_importance(self, memory_id: str, importance_delta: float): + """ + Cập nhật điểm quan trọng của memory. + """ + stmt = select(Memory).where(Memory.id == memory_id) + memory = (await self.db.execute(stmt)).scalar_one_or_none() + + if memory: + memory.importance_score += importance_delta + await self.db.commit() + + async def forget_old_memories( + self, user_id: str, threshold_days: int = 30, importance_threshold: float = 0.3 + ): + """ + Xóa các memories cũ và ít quan trọng. + """ + cutoff_date = datetime.utcnow() - timedelta(days=threshold_days) + + stmt = select(Memory).where( + Memory.user_id == user_id, + Memory.last_accessed < cutoff_date, + Memory.importance_score < importance_threshold, + ) + + old_memories = (await self.db.execute(stmt)).scalars().all() + + # Xóa từ vector store và database + for memory in old_memories: + await self.db.delete(memory) + self.vector_store.delete(filter={"memory_id": memory.id}) + + await self.db.commit() diff --git a/backend/qllm/services/qdrant_service.py b/backend/qllm/services/qdrant_service.py new file mode 100644 index 0000000..bb0a8cb --- /dev/null +++ b/backend/qllm/services/qdrant_service.py @@ -0,0 +1,61 @@ +import logging + +from qdrant_client import AsyncQdrantClient +from qdrant_client.http.exceptions import UnexpectedResponse +from qdrant_client.models import Distance, VectorParams + +from qllm.core.config import settings + +logger = logging.getLogger("uvicorn") + + +logger = logging.getLogger(__name__) + + +async def init_qdrant(): + """ + Initialize Qdrant client asynchronously, check if the 'document' collection exists, + and create it only if it does not exist. + """ + if settings.QDRANT_API_KEY and settings.QDRANT_URL: + logger.info("Vector store using Qdrant Cloud") + client = AsyncQdrantClient( + url=settings.QDRANT_URL, + api_key=settings.QDRANT_API_KEY, + ) + + elif not settings.QDRANT_HOST or not settings.QDRANT_PORT: + raise Exception("Missing Qdrant configuration.") + + else: + logger.info( + f"Vector store using local Qdrant: {settings.QDRANT_HOST}:{settings.QDRANT_PORT}" + ) + client = AsyncQdrantClient(port=settings.QDRANT_PORT, host=settings.QDRANT_HOST) + + # Check if the collection exists + try: + await client.get_collection(collection_name="document") + logger.info("Collection 'document' already exists. Skipping creation.") + except UnexpectedResponse as e: + if "404" in str(e): + # Collection does not exist, create it + logger.info("Collection 'document' does not exist. Creating it now...") + await client.create_collection( + collection_name="document", + vectors_config=VectorParams( + size=settings.EMBEDDING_DIM, distance=Distance.COSINE + ), + ) + logger.info("New collection 'document' created.") + else: + raise e # Re-raise other errors + + return client + + +if __name__ == "__main__": + # Initialize Qdrant + import asyncio + + asyncio.run(init_qdrant()) diff --git a/backend/tests/__init__.py b/backend/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/tool/config.yaml b/backend/tool/config.yaml new file mode 100644 index 0000000..e69de29