diff --git a/.github/workflows/auto-comment.yml b/.github/workflows/auto-comment.yml new file mode 100644 index 000000000..aaba8893e --- /dev/null +++ b/.github/workflows/auto-comment.yml @@ -0,0 +1,81 @@ +name: Issue and PR Auto Comments +on: + issues: + types: + - opened + - closed + - assigned + pull_request_target: + types: + - opened + - closed + +permissions: + contents: read + +jobs: + auto-comment: + permissions: + issues: write + pull-requests: write + runs-on: ubuntu-latest + steps: + # configuration for auto-comment actions + - name: Configure Auto Comments + uses: wow-actions/auto-comment@v1 + with: + GITHUB_TOKEN: ${{ secrets.GH_TOKEN }} + issuesOpened: | + 👋 @{{ author }} + + Thank you for raising an issue. We will investigate the matter and get back to you as soon as possible. + + To help us address your issue efficiently, please ensure you have provided: + - A clear description of the problem + - Steps to reproduce (if applicable) + - Expected vs actual behavior + - Any relevant screenshots or error messages + + Our team typically responds within 2-3 business days. + + issuesClosed: | + ✅ @{{ author }} + + This issue has been closed. If you have any further questions or if the issue resurfaces, + please feel free to: + - Add a comment to this thread + - Open a new issue with reference to this one + + Thank you for helping us improve! + + pullRequestOpened: | + 👍 @{{ author }} + + Thank you for your pull request and contributing to our community! + + Please ensure you have: + - [ ] Followed our contributing guidelines + - [ ] Added/updated tests (if applicable) + - [ ] Updated documentation (if applicable) + - [ ] Added a descriptive PR title + + Our team will review your contribution as soon as possible. Feel free to reach out if you need any assistance. + + # Separate action for merged PRs + - name: Handle Merged Pull Requests + if: github.event.pull_request.merged == true + uses: actions-cool/pr-welcome@v1.2.1 + with: + token: ${{ secrets.GH_TOKEN }} + comment: | + 🎉 Fantastic work @${{ github.event.pull_request.user.login }}! 🎉 + + Your pull request has been merged successfully. Thank you for your valuable contribution! + + We appreciate the time and effort you've put into improving our project. + Your changes will be included in our next release. + + Keep up the great work! 💪 + emoji: 'rocket' + pr-emoji: '+1, heart, rocket' + diff --git a/.github/workflows/docker_compose.yml b/.github/workflows/docker_compose.yml index 7152c4ebf..93b41e5af 100644 --- a/.github/workflows/docker_compose.yml +++ b/.github/workflows/docker_compose.yml @@ -20,10 +20,16 @@ jobs: uses: docker/setup-buildx-action@v3 - name: Build Docker images + env: + ENVIRONMENT: dev + ENV: dev run: | docker compose -f docker-compose.yml build - name: Run Docker Compose + env: + ENVIRONMENT: dev + ENV: dev run: | docker compose -f docker-compose.yml up -d diff --git a/Dockerfile b/Dockerfile index ec3dd8119..cec626c86 100644 --- a/Dockerfile +++ b/Dockerfile @@ -25,7 +25,7 @@ RUN pip install poetry RUN poetry config virtualenvs.create false # Install the dependencies -RUN poetry install --no-root --no-dev +RUN poetry install --all-extras --no-root --no-dev # Set the PYTHONPATH environment variable to include the /app directory diff --git a/README.md b/README.md index 55a01092e..28c07fab4 100644 --- a/README.md +++ b/README.md @@ -29,6 +29,10 @@ If you have questions, join our Discord pip install cognee ``` +### With pip with PostgreSQL support +```bash +pip install cognee[postgres] +``` ### With poetry @@ -36,6 +40,11 @@ pip install cognee poetry add cognee ``` +### With poetry with PostgreSQL support + +```bash +poetry add cognee -E postgres +``` ## 💻 Basic Usage @@ -50,7 +59,7 @@ os.environ["LLM_API_KEY"] = "YOUR OPENAI_API_KEY" or ``` import cognee -cognee.config.llm_api_key = "YOUR_OPENAI_API_KEY" +cognee.config.set_llm_api_key("YOUR_OPENAI_API_KEY") ``` You can also set the variables by creating .env file, here is our template. To use different LLM providers, for more info check out our documentation @@ -73,26 +82,54 @@ docker-compose up ``` Then navigate to localhost:3000 +If you want to use the UI with PostgreSQL through docker-compose make sure to set the following values in the .env file: +``` +DB_PROVIDER=postgres + +DB_HOST=postgres +DB_PORT=5432 + +DB_NAME=cognee_db +DB_USERNAME=cognee +DB_PASSWORD=cognee +``` + ### Simple example -Run the default cognee pipeline: +First, copy `.env.template` to `.env` and add your OpenAI API key to the LLM_API_KEY field. -``` +Optionally, set `VECTOR_DB_PROVIDER="lancedb"` in `.env` to simplify setup. + +This script will run the default pipeline: + +```python import cognee +import asyncio +from cognee.api.v1.search import SearchType -text = """Natural language processing (NLP) is an interdisciplinary - subfield of computer science and information retrieval""" +async def main(): + await cognee.prune.prune_data() # Reset cognee data + await cognee.prune.prune_system(metadata=True) # Reset cognee system state -await cognee.add(text) # Add a new piece of information + text = """ + Natural language processing (NLP) is an interdisciplinary + subfield of computer science and information retrieval. + """ -await cognee.cognify() # Use LLMs and cognee to create a knowledge graph + await cognee.add(text) # Add text to cognee + await cognee.cognify() # Use LLMs and cognee to create knowledge graph -search_results = await cognee.search("INSIGHTS", {'query': 'NLP'}) # Query cognee for the insights + search_results = await cognee.search( # Search cognee for insights + SearchType.INSIGHTS, + {'query': 'Tell me about NLP'} + ) -for result in search_results: - do_something_with_result(result) + for result_text in search_results: # Display results + print(result_text) + +asyncio.run(main()) ``` - +A version of this example is here: `examples/pyton/simple_example.py` ### Create your own memory store diff --git a/cognee/api/client.py b/cognee/api/client.py index 4b41f0572..53c9f9762 100644 --- a/cognee/api/client.py +++ b/cognee/api/client.py @@ -1,24 +1,11 @@ """ FastAPI server for the Cognee API. """ -from datetime import datetime import os -from uuid import UUID -import aiohttp import uvicorn import logging import sentry_sdk -from typing import List, Union, Optional, Literal -from typing_extensions import Annotated -from fastapi import FastAPI, HTTPException, Form, UploadFile, Query, Depends -from fastapi.responses import JSONResponse, FileResponse, Response +from fastapi import FastAPI +from fastapi.responses import JSONResponse, Response from fastapi.middleware.cors import CORSMiddleware -from pydantic import BaseModel - -from cognee.api.DTO import InDTO, OutDTO -from cognee.api.v1.search import SearchType -from cognee.modules.users.models import User -from cognee.modules.users.methods import get_authenticated_user -from cognee.modules.pipelines.models import PipelineRunStatus - # Set up logging logging.basicConfig( @@ -65,9 +52,12 @@ app.add_middleware( from cognee.api.v1.users.routers import get_auth_router, get_register_router,\ get_reset_password_router, get_verify_router, get_users_router - -from cognee.api.v1.permissions.get_permissions_router import get_permissions_router - +from cognee.api.v1.permissions.routers import get_permissions_router +from cognee.api.v1.settings.routers import get_settings_router +from cognee.api.v1.datasets.routers import get_datasets_router +from cognee.api.v1.cognify.routers import get_cognify_router +from cognee.api.v1.search.routers import get_search_router +from cognee.api.v1.add.routers import get_add_router from fastapi import Request from fastapi.encoders import jsonable_encoder @@ -137,261 +127,35 @@ def health_check(): """ return Response(status_code = 200) +app.include_router( + get_datasets_router(), + prefix="/api/v1/datasets", + tags=["datasets"] +) -class ErrorResponseDTO(BaseModel): - message: str +app.include_router( + get_add_router(), + prefix="/api/v1/add", + tags=["add"] +) +app.include_router( + get_cognify_router(), + prefix="/api/v1/cognify", + tags=["cognify"] +) -class DatasetDTO(OutDTO): - id: UUID - name: str - created_at: datetime - updated_at: Optional[datetime] - owner_id: UUID - -@app.get("/api/v1/datasets", response_model = list[DatasetDTO]) -async def get_datasets(user: User = Depends(get_authenticated_user)): - try: - from cognee.modules.data.methods import get_datasets - datasets = await get_datasets(user.id) - - return datasets - except Exception as error: - logger.error(f"Error retrieving datasets: {str(error)}") - raise HTTPException(status_code = 500, detail = f"Error retrieving datasets: {str(error)}") from error - - -@app.delete("/api/v1/datasets/{dataset_id}", response_model = None, responses = { 404: { "model": ErrorResponseDTO }}) -async def delete_dataset(dataset_id: str, user: User = Depends(get_authenticated_user)): - from cognee.modules.data.methods import get_dataset, delete_dataset - - dataset = await get_dataset(user.id, dataset_id) - - if dataset is None: - raise HTTPException( - status_code = 404, - detail = f"Dataset ({dataset_id}) not found." - ) - - await delete_dataset(dataset) - - -@app.get("/api/v1/datasets/{dataset_id}/graph", response_model = str) -async def get_dataset_graph(dataset_id: str, user: User = Depends(get_authenticated_user)): - from cognee.shared.utils import render_graph - from cognee.infrastructure.databases.graph import get_graph_engine - - try: - graph_client = await get_graph_engine() - graph_url = await render_graph(graph_client.graph) - - return JSONResponse( - status_code = 200, - content = str(graph_url), - ) - except: - return JSONResponse( - status_code = 409, - content = "Graphistry credentials are not set. Please set them in your .env file.", - ) - - -class DataDTO(OutDTO): - id: UUID - name: str - created_at: datetime - updated_at: Optional[datetime] - extension: str - mime_type: str - raw_data_location: str - -@app.get("/api/v1/datasets/{dataset_id}/data", response_model = list[DataDTO], responses = { 404: { "model": ErrorResponseDTO }}) -async def get_dataset_data(dataset_id: str, user: User = Depends(get_authenticated_user)): - from cognee.modules.data.methods import get_dataset_data, get_dataset - - dataset = await get_dataset(user.id, dataset_id) - - if dataset is None: - return JSONResponse( - status_code = 404, - content = ErrorResponseDTO(f"Dataset ({dataset_id}) not found."), - ) - - dataset_data = await get_dataset_data(dataset_id = dataset.id) - - if dataset_data is None: - return [] - - return dataset_data - - -@app.get("/api/v1/datasets/status", response_model = dict[str, PipelineRunStatus]) -async def get_dataset_status(datasets: Annotated[List[str], Query(alias="dataset")] = None, user: User = Depends(get_authenticated_user)): - from cognee.api.v1.datasets.datasets import datasets as cognee_datasets - - try: - datasets_statuses = await cognee_datasets.get_status(datasets) - - return datasets_statuses - except Exception as error: - return JSONResponse( - status_code = 409, - content = {"error": str(error)} - ) - - -@app.get("/api/v1/datasets/{dataset_id}/data/{data_id}/raw", response_class = FileResponse) -async def get_raw_data(dataset_id: str, data_id: str, user: User = Depends(get_authenticated_user)): - from cognee.modules.data.methods import get_dataset, get_dataset_data - - dataset = await get_dataset(user.id, dataset_id) - - if dataset is None: - return JSONResponse( - status_code = 404, - content = { - "detail": f"Dataset ({dataset_id}) not found." - } - ) - - dataset_data = await get_dataset_data(dataset.id) - - if dataset_data is None: - raise HTTPException(status_code = 404, detail = f"Dataset ({dataset_id}) not found.") - - data = [data for data in dataset_data if str(data.id) == data_id][0] - - if data is None: - return JSONResponse( - status_code = 404, - content = { - "detail": f"Data ({data_id}) not found in dataset ({dataset_id})." - } - ) - - return data.raw_data_location - - -@app.post("/api/v1/add", response_model = None) -async def add( - data: List[UploadFile], - datasetId: str = Form(...), - user: User = Depends(get_authenticated_user), -): - """ This endpoint is responsible for adding data to the graph.""" - from cognee.api.v1.add import add as cognee_add - try: - if isinstance(data, str) and data.startswith("http"): - if "github" in data: - # Perform git clone if the URL is from GitHub - repo_name = data.split("/")[-1].replace(".git", "") - os.system(f"git clone {data} .data/{repo_name}") - await cognee_add( - "data://.data/", - f"{repo_name}", - ) - else: - # Fetch and store the data from other types of URL using curl - async with aiohttp.ClientSession() as session: - async with session.get(data) as resp: - if resp.status == 200: - file_data = await resp.read() - with open(f".data/{data.split('/')[-1]}", "wb") as f: - f.write(file_data) - await cognee_add( - "data://.data/", - f"{data.split('/')[-1]}", - ) - else: - await cognee_add( - data, - datasetId, - user = user, - ) - except Exception as error: - return JSONResponse( - status_code = 409, - content = {"error": str(error)} - ) - - -class CognifyPayloadDTO(BaseModel): - datasets: List[str] - -@app.post("/api/v1/cognify", response_model = None) -async def cognify(payload: CognifyPayloadDTO, user: User = Depends(get_authenticated_user)): - """ This endpoint is responsible for the cognitive processing of the content.""" - from cognee.api.v1.cognify.cognify_v2 import cognify as cognee_cognify - try: - await cognee_cognify(payload.datasets, user) - except Exception as error: - return JSONResponse( - status_code = 409, - content = {"error": str(error)} - ) - - -class SearchPayloadDTO(InDTO): - search_type: SearchType - query: str - -@app.post("/api/v1/search", response_model = list) -async def search(payload: SearchPayloadDTO, user: User = Depends(get_authenticated_user)): - """ This endpoint is responsible for searching for nodes in the graph.""" - from cognee.api.v1.search import search as cognee_search - - try: - results = await cognee_search(payload.search_type, payload.query, user) - - return results - except Exception as error: - return JSONResponse( - status_code = 409, - content = {"error": str(error)} - ) - -from cognee.modules.settings.get_settings import LLMConfig, VectorDBConfig - -class LLMConfigDTO(OutDTO, LLMConfig): - pass - -class VectorDBConfigDTO(OutDTO, VectorDBConfig): - pass - -class SettingsDTO(OutDTO): - llm: LLMConfigDTO - vector_db: VectorDBConfigDTO - -@app.get("/api/v1/settings", response_model = SettingsDTO) -async def get_settings(user: User = Depends(get_authenticated_user)): - from cognee.modules.settings import get_settings as get_cognee_settings - return get_cognee_settings() - - -class LLMConfigDTO(InDTO): - provider: Union[Literal["openai"], Literal["ollama"], Literal["anthropic"]] - model: str - api_key: str - -class VectorDBConfigDTO(InDTO): - provider: Union[Literal["lancedb"], Literal["qdrant"], Literal["weaviate"], Literal["pgvector"]] - url: str - api_key: str - -class SettingsPayloadDTO(InDTO): - llm: Optional[LLMConfigDTO] = None - vector_db: Optional[VectorDBConfigDTO] = None - -@app.post("/api/v1/settings", response_model = None) -async def save_settings(new_settings: SettingsPayloadDTO, user: User = Depends(get_authenticated_user)): - from cognee.modules.settings import save_llm_config, save_vector_db_config - - if new_settings.llm is not None: - await save_llm_config(new_settings.llm) - - if new_settings.vector_db is not None: - await save_vector_db_config(new_settings.vector_db) +app.include_router( + get_search_router(), + prefix="/api/v1/search", + tags=["search"] +) +app.include_router( + get_settings_router(), + prefix="/api/v1/settings", + tags=["settings"] +) def start_api_server(host: str = "0.0.0.0", port: int = 8000): """ diff --git a/cognee/api/v1/add/routers/__init__.py b/cognee/api/v1/add/routers/__init__.py new file mode 100644 index 000000000..eebb250ab --- /dev/null +++ b/cognee/api/v1/add/routers/__init__.py @@ -0,0 +1 @@ +from .get_add_router import get_add_router \ No newline at end of file diff --git a/cognee/api/v1/add/routers/get_add_router.py b/cognee/api/v1/add/routers/get_add_router.py new file mode 100644 index 000000000..1f45d0c95 --- /dev/null +++ b/cognee/api/v1/add/routers/get_add_router.py @@ -0,0 +1,60 @@ +from fastapi import Form, UploadFile, Depends +from fastapi.responses import JSONResponse +from fastapi import APIRouter +from typing import List +import aiohttp +import subprocess +import logging +import os +from cognee.modules.users.models import User +from cognee.modules.users.methods import get_authenticated_user + +logger = logging.getLogger(__name__) + +def get_add_router() -> APIRouter: + router = APIRouter() + + @router.post("/", response_model=None) + async def add( + data: List[UploadFile], + datasetId: str = Form(...), + user: User = Depends(get_authenticated_user), + ): + """ This endpoint is responsible for adding data to the graph.""" + from cognee.api.v1.add import add as cognee_add + try: + if isinstance(data, str) and data.startswith("http"): + if "github" in data: + # Perform git clone if the URL is from GitHub + repo_name = data.split("/")[-1].replace(".git", "") + subprocess.run(["git", "clone", data, f".data/{repo_name}"], check=True) + await cognee_add( + "data://.data/", + f"{repo_name}", + ) + else: + # Fetch and store the data from other types of URL using curl + async with aiohttp.ClientSession() as session: + async with session.get(data) as resp: + if resp.status == 200: + file_data = await resp.read() + filename = os.path.basename(data) + with open(f".data/{filename}", "wb") as f: + f.write(file_data) + await cognee_add( + "data://.data/", + f"{data.split('/')[-1]}", + ) + else: + await cognee_add( + data, + datasetId, + user=user, + ) + except Exception as error: + return JSONResponse( + status_code=409, + content={"error": str(error)} + ) + + return router \ No newline at end of file diff --git a/cognee/api/v1/cognify/routers/__init__.py b/cognee/api/v1/cognify/routers/__init__.py new file mode 100644 index 000000000..c6d52bfa2 --- /dev/null +++ b/cognee/api/v1/cognify/routers/__init__.py @@ -0,0 +1 @@ +from .get_cognify_router import get_cognify_router \ No newline at end of file diff --git a/cognee/api/v1/cognify/routers/get_cognify_router.py b/cognee/api/v1/cognify/routers/get_cognify_router.py new file mode 100644 index 000000000..9616fa71c --- /dev/null +++ b/cognee/api/v1/cognify/routers/get_cognify_router.py @@ -0,0 +1,27 @@ +from fastapi import APIRouter +from typing import List +from pydantic import BaseModel +from cognee.modules.users.models import User +from fastapi.responses import JSONResponse +from cognee.modules.users.methods import get_authenticated_user +from fastapi import Depends + +class CognifyPayloadDTO(BaseModel): + datasets: List[str] + +def get_cognify_router() -> APIRouter: + router = APIRouter() + + @router.post("/", response_model=None) + async def cognify(payload: CognifyPayloadDTO, user: User = Depends(get_authenticated_user)): + """ This endpoint is responsible for the cognitive processing of the content.""" + from cognee.api.v1.cognify.cognify_v2 import cognify as cognee_cognify + try: + await cognee_cognify(payload.datasets, user) + except Exception as error: + return JSONResponse( + status_code=409, + content={"error": str(error)} + ) + + return router \ No newline at end of file diff --git a/cognee/api/v1/config/config.py b/cognee/api/v1/config/config.py index 2f4167b76..1fbed9bdc 100644 --- a/cognee/api/v1/config/config.py +++ b/cognee/api/v1/config/config.py @@ -5,6 +5,7 @@ from cognee.modules.cognify.config import get_cognify_config from cognee.infrastructure.data.chunking.config import get_chunk_config from cognee.infrastructure.databases.vector import get_vectordb_config from cognee.infrastructure.databases.graph.config import get_graph_config +from cognee.infrastructure.llm.config import get_llm_config from cognee.infrastructure.databases.relational import get_relational_config from cognee.infrastructure.files.storage import LocalStorage @@ -55,19 +56,36 @@ class config(): graph_config.graph_database_provider = graph_database_provider @staticmethod - def llm_provider(llm_provider: str): - graph_config = get_graph_config() - graph_config.llm_provider = llm_provider + def set_llm_provider(llm_provider: str): + llm_config = get_llm_config() + llm_config.llm_provider = llm_provider @staticmethod - def llm_endpoint(llm_endpoint: str): - graph_config = get_graph_config() - graph_config.llm_endpoint = llm_endpoint + def set_llm_endpoint(llm_endpoint: str): + llm_config = get_llm_config() + llm_config.llm_endpoint = llm_endpoint @staticmethod - def llm_model(llm_model: str): - graph_config = get_graph_config() - graph_config.llm_model = llm_model + def set_llm_model(llm_model: str): + llm_config = get_llm_config() + llm_config.llm_model = llm_model + + @staticmethod + def set_llm_api_key(llm_api_key: str): + llm_config = get_llm_config() + llm_config.llm_api_key = llm_api_key + + @staticmethod + def set_llm_config(config_dict: dict): + """ + Updates the llm config with values from config_dict. + """ + llm_config = get_llm_config() + for key, value in config_dict.items(): + if hasattr(llm_config, key): + object.__setattr__(llm_config, key, value) + else: + raise AttributeError(f"'{key}' is not a valid attribute of the config.") @staticmethod def set_chunk_strategy(chunk_strategy: object): @@ -137,5 +155,5 @@ class config(): if "username" not in graphistry_config or "password" not in graphistry_config: raise ValueError("graphistry_config dictionary must contain 'username' and 'password' keys.") - base_config.graphistry_username = graphistry_config.username - base_config.graphistry_password = graphistry_config.password + base_config.graphistry_username = graphistry_config.get("username") + base_config.graphistry_password = graphistry_config.get("password") diff --git a/cognee/api/v1/datasets/routers/__init__.py b/cognee/api/v1/datasets/routers/__init__.py new file mode 100644 index 000000000..f03428fd6 --- /dev/null +++ b/cognee/api/v1/datasets/routers/__init__.py @@ -0,0 +1 @@ +from .get_datasets_router import get_datasets_router \ No newline at end of file diff --git a/cognee/api/v1/datasets/routers/get_datasets_router.py b/cognee/api/v1/datasets/routers/get_datasets_router.py new file mode 100644 index 000000000..f27c6c2ad --- /dev/null +++ b/cognee/api/v1/datasets/routers/get_datasets_router.py @@ -0,0 +1,178 @@ +import logging +from fastapi import APIRouter +from datetime import datetime +from uuid import UUID +from typing import List, Optional +from typing_extensions import Annotated +from fastapi import HTTPException, Query, Depends +from fastapi.responses import JSONResponse, FileResponse +from pydantic import BaseModel + +from cognee.api.DTO import OutDTO +from cognee.modules.users.models import User +from cognee.modules.users.methods import get_authenticated_user +from cognee.modules.pipelines.models import PipelineRunStatus + +logger = logging.getLogger(__name__) + +class ErrorResponseDTO(BaseModel): + message: str + +class DatasetDTO(OutDTO): + id: UUID + name: str + created_at: datetime + updated_at: Optional[datetime] = None + owner_id: UUID + +class DataDTO(OutDTO): + id: UUID + name: str + created_at: datetime + updated_at: Optional[datetime] = None + extension: str + mime_type: str + raw_data_location: str + +def get_datasets_router() -> APIRouter: + router = APIRouter() + + @router.get("/", response_model=list[DatasetDTO]) + async def get_datasets(user: User = Depends(get_authenticated_user)): + try: + from cognee.modules.data.methods import get_datasets + datasets = await get_datasets(user.id) + + return datasets + except Exception as error: + logger.error(f"Error retrieving datasets: {str(error)}") + raise HTTPException(status_code=500, detail=f"Error retrieving datasets: {str(error)}") from error + + @router.delete("/{dataset_id}", response_model=None, responses={404: {"model": ErrorResponseDTO}}) + async def delete_dataset(dataset_id: str, user: User = Depends(get_authenticated_user)): + from cognee.modules.data.methods import get_dataset, delete_dataset + + dataset = await get_dataset(user.id, dataset_id) + + if dataset is None: + raise HTTPException( + status_code=404, + detail=f"Dataset ({dataset_id}) not found." + ) + + await delete_dataset(dataset) + + @router.delete("/{dataset_id}/data/{data_id}", response_model=None, responses={404: {"model": ErrorResponseDTO}}) + async def delete_data(dataset_id: str, data_id: str, user: User = Depends(get_authenticated_user)): + from cognee.modules.data.methods import get_data, delete_data + from cognee.modules.data.methods import get_dataset + + # Check if user has permission to access dataset and data by trying to get the dataset + dataset = await get_dataset(user.id, dataset_id) + + #TODO: Handle situation differently if user doesn't have permission to access data? + if dataset is None: + raise HTTPException( + status_code=404, + detail=f"Dataset ({dataset_id}) not found." + ) + + data = await get_data(data_id) + + if data is None: + raise HTTPException( + status_code=404, + detail=f"Dataset ({data_id}) not found." + ) + + await delete_data(data) + + @router.get("/{dataset_id}/graph", response_model=str) + async def get_dataset_graph(dataset_id: str, user: User = Depends(get_authenticated_user)): + from cognee.shared.utils import render_graph + from cognee.infrastructure.databases.graph import get_graph_engine + + try: + graph_client = await get_graph_engine() + graph_url = await render_graph(graph_client.graph) + + return JSONResponse( + status_code=200, + content=str(graph_url), + ) + except: + return JSONResponse( + status_code=409, + content="Graphistry credentials are not set. Please set them in your .env file.", + ) + + @router.get("/{dataset_id}/data", response_model=list[DataDTO], + responses={404: {"model": ErrorResponseDTO}}) + async def get_dataset_data(dataset_id: str, user: User = Depends(get_authenticated_user)): + from cognee.modules.data.methods import get_dataset_data, get_dataset + + dataset = await get_dataset(user.id, dataset_id) + + if dataset is None: + return JSONResponse( + status_code=404, + content=ErrorResponseDTO(f"Dataset ({dataset_id}) not found."), + ) + + dataset_data = await get_dataset_data(dataset_id=dataset.id) + + if dataset_data is None: + return [] + + return dataset_data + + @router.get("/status", response_model=dict[str, PipelineRunStatus]) + async def get_dataset_status(datasets: Annotated[List[str], Query(alias="dataset")] = None, + user: User = Depends(get_authenticated_user)): + from cognee.api.v1.datasets.datasets import datasets as cognee_datasets + + try: + datasets_statuses = await cognee_datasets.get_status(datasets) + + return datasets_statuses + except Exception as error: + return JSONResponse( + status_code=409, + content={"error": str(error)} + ) + + @router.get("/{dataset_id}/data/{data_id}/raw", response_class=FileResponse) + async def get_raw_data(dataset_id: str, data_id: str, user: User = Depends(get_authenticated_user)): + from cognee.modules.data.methods import get_dataset, get_dataset_data + + dataset = await get_dataset(user.id, dataset_id) + + if dataset is None: + return JSONResponse( + status_code=404, + content={ + "detail": f"Dataset ({dataset_id}) not found." + } + ) + + dataset_data = await get_dataset_data(dataset.id) + + if dataset_data is None: + raise HTTPException(status_code=404, detail=f"No data found in dataset ({dataset_id}).") + + matching_data = [data for data in dataset_data if str(data.id) == data_id] + + # Check if matching_data contains an element + if len(matching_data) == 0: + return JSONResponse( + status_code=404, + content={ + "detail": f"Data ({data_id}) not found in dataset ({dataset_id})." + } + ) + + data = matching_data[0] + + return data.raw_data_location + + return router \ No newline at end of file diff --git a/cognee/api/v1/permissions/routers/__init__.py b/cognee/api/v1/permissions/routers/__init__.py new file mode 100644 index 000000000..986b52c3e --- /dev/null +++ b/cognee/api/v1/permissions/routers/__init__.py @@ -0,0 +1 @@ +from .get_permissions_router import get_permissions_router \ No newline at end of file diff --git a/cognee/api/v1/permissions/get_permissions_router.py b/cognee/api/v1/permissions/routers/get_permissions_router.py similarity index 100% rename from cognee/api/v1/permissions/get_permissions_router.py rename to cognee/api/v1/permissions/routers/get_permissions_router.py diff --git a/cognee/api/v1/search/routers/__init__.py b/cognee/api/v1/search/routers/__init__.py new file mode 100644 index 000000000..c3b199f5f --- /dev/null +++ b/cognee/api/v1/search/routers/__init__.py @@ -0,0 +1 @@ +from .get_search_router import get_search_router \ No newline at end of file diff --git a/cognee/api/v1/search/routers/get_search_router.py b/cognee/api/v1/search/routers/get_search_router.py new file mode 100644 index 000000000..5df49635f --- /dev/null +++ b/cognee/api/v1/search/routers/get_search_router.py @@ -0,0 +1,31 @@ +from cognee.api.v1.search import SearchType +from fastapi.responses import JSONResponse +from cognee.modules.users.models import User +from fastapi import Depends, APIRouter +from cognee.api.DTO import InDTO +from cognee.modules.users.methods import get_authenticated_user + + +class SearchPayloadDTO(InDTO): + search_type: SearchType + query: str + +def get_search_router() -> APIRouter: + router = APIRouter() + + @router.post("/", response_model = list) + async def search(payload: SearchPayloadDTO, user: User = Depends(get_authenticated_user)): + """ This endpoint is responsible for searching for nodes in the graph.""" + from cognee.api.v1.search import search as cognee_search + + try: + results = await cognee_search(payload.search_type, payload.query, user) + + return results + except Exception as error: + return JSONResponse( + status_code = 409, + content = {"error": str(error)} + ) + + return router \ No newline at end of file diff --git a/cognee/api/v1/settings/routers/__init__.py b/cognee/api/v1/settings/routers/__init__.py new file mode 100644 index 000000000..363d26610 --- /dev/null +++ b/cognee/api/v1/settings/routers/__init__.py @@ -0,0 +1 @@ +from .get_settings_router import get_settings_router \ No newline at end of file diff --git a/cognee/api/v1/settings/routers/get_settings_router.py b/cognee/api/v1/settings/routers/get_settings_router.py new file mode 100644 index 000000000..31692382b --- /dev/null +++ b/cognee/api/v1/settings/routers/get_settings_router.py @@ -0,0 +1,51 @@ +from fastapi import APIRouter +from cognee.api.DTO import InDTO, OutDTO +from typing import Union, Optional, Literal +from cognee.modules.users.methods import get_authenticated_user +from fastapi import Depends +from cognee.modules.users.models import User +from cognee.modules.settings.get_settings import LLMConfig, VectorDBConfig + +class LLMConfigOutputDTO(OutDTO, LLMConfig): + pass + +class VectorDBConfigOutputDTO(OutDTO, VectorDBConfig): + pass + +class SettingsDTO(OutDTO): + llm: LLMConfigOutputDTO + vector_db: VectorDBConfigOutputDTO + +class LLMConfigInputDTO(InDTO): + provider: Union[Literal["openai"], Literal["ollama"], Literal["anthropic"]] + model: str + api_key: str + +class VectorDBConfigInputDTO(InDTO): + provider: Union[Literal["lancedb"], Literal["qdrant"], Literal["weaviate"], Literal["pgvector"]] + url: str + api_key: str + +class SettingsPayloadDTO(InDTO): + llm: Optional[LLMConfigInputDTO] = None + vector_db: Optional[VectorDBConfigInputDTO] = None + +def get_settings_router() -> APIRouter: + router = APIRouter() + + @router.get("/", response_model=SettingsDTO) + async def get_settings(user: User = Depends(get_authenticated_user)): + from cognee.modules.settings import get_settings as get_cognee_settings + return get_cognee_settings() + + @router.post("/", response_model=None) + async def save_settings(new_settings: SettingsPayloadDTO, user: User = Depends(get_authenticated_user)): + from cognee.modules.settings import save_llm_config, save_vector_db_config + + if new_settings.llm is not None: + await save_llm_config(new_settings.llm) + + if new_settings.vector_db is not None: + await save_vector_db_config(new_settings.vector_db) + + return router \ No newline at end of file diff --git a/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py b/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py index edde07565..febfe1931 100644 --- a/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py +++ b/cognee/infrastructure/databases/relational/sqlalchemy/SqlAlchemyAdapter.py @@ -89,10 +89,22 @@ class SQLAlchemyAdapter(): """ Delete data in given table based on id. Table must have an id Column. """ - async with self.get_async_session() as session: - TableModel = await self.get_table(table_name, schema_name) - await session.execute(TableModel.delete().where(TableModel.c.id == data_id)) - await session.commit() + if self.engine.dialect.name == "sqlite": + async with self.get_async_session() as session: + TableModel = await self.get_table(table_name, schema_name) + + # Foreign key constraints are disabled by default in SQLite (for backwards compatibility), + # so must be enabled for each database connection/session separately. + await session.execute(text("PRAGMA foreign_keys = ON;")) + + await session.execute(TableModel.delete().where(TableModel.c.id == data_id)) + await session.commit() + else: + async with self.get_async_session() as session: + TableModel = await self.get_table(table_name, schema_name) + await session.execute(TableModel.delete().where(TableModel.c.id == data_id)) + await session.commit() + async def get_table(self, table_name: str, schema_name: Optional[str] = "public") -> Table: """ diff --git a/cognee/infrastructure/databases/vector/embeddings/FastembedEmbeddingEngine.py b/cognee/infrastructure/databases/vector/embeddings/FastembedEmbeddingEngine.py deleted file mode 100644 index 3645ae28d..000000000 --- a/cognee/infrastructure/databases/vector/embeddings/FastembedEmbeddingEngine.py +++ /dev/null @@ -1,25 +0,0 @@ -from typing import List, Optional -from fastembed import TextEmbedding -from cognee.root_dir import get_absolute_path -from cognee.infrastructure.databases.vector.embeddings.EmbeddingEngine import EmbeddingEngine - -class FastembedEmbeddingEngine(EmbeddingEngine): - embedding_model: str - embedding_dimensions: int - - def __init__( - self, - embedding_model: Optional[str] = "BAAI/bge-large-en-v1.5", - embedding_dimensions: Optional[int] = 1024, - ): - self.embedding_model = embedding_model - self.embedding_dimensions = embedding_dimensions - - async def embed_text(self, text: List[str]) -> List[float]: - embedding_model = TextEmbedding(model_name = self.embedding_model, cache_dir = get_absolute_path("cache/embeddings")) - embeddings_list = list(map(lambda embedding: embedding.tolist(), embedding_model.embed(text))) - - return embeddings_list - - def get_vector_size(self) -> int: - return self.embedding_dimensions diff --git a/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py b/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py index f3e193ffa..39e43189c 100644 --- a/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py +++ b/cognee/infrastructure/databases/vector/lancedb/LanceDBAdapter.py @@ -193,7 +193,10 @@ class LanceDBAdapter(VectorDBInterface): async def delete_data_points(self, collection_name: str, data_point_ids: list[str]): connection = await self.get_connection() collection = await connection.open_table(collection_name) - results = await collection.delete(f"id IN {tuple(data_point_ids)}") + if len(data_point_ids) == 1: + results = await collection.delete(f"id = '{data_point_ids[0]}'") + else: + results = await collection.delete(f"id IN {tuple(data_point_ids)}") return results async def create_vector_index(self, index_name: str, index_property_name: str): diff --git a/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py b/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py index 70359913a..321318043 100644 --- a/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py +++ b/cognee/infrastructure/databases/vector/pgvector/PGVectorAdapter.py @@ -33,7 +33,6 @@ class PGVectorAdapter(SQLAlchemyAdapter, VectorDBInterface): self.api_key = api_key self.embedding_engine = embedding_engine self.db_uri: str = connection_string - self.engine = create_async_engine(self.db_uri) self.sessionmaker = async_sessionmaker(bind=self.engine, expire_on_commit=False) diff --git a/cognee/infrastructure/files/utils/extract_text_from_file.py b/cognee/infrastructure/files/utils/extract_text_from_file.py index 564704bec..171128b2e 100644 --- a/cognee/infrastructure/files/utils/extract_text_from_file.py +++ b/cognee/infrastructure/files/utils/extract_text_from_file.py @@ -1,7 +1,8 @@ from typing import BinaryIO from pypdf import PdfReader +import filetype -def extract_text_from_file(file: BinaryIO, file_type) -> str: +def extract_text_from_file(file: BinaryIO, file_type: filetype.Type) -> str: """Extract text from a file""" if file_type.extension == "pdf": reader = PdfReader(stream = file) diff --git a/cognee/infrastructure/files/utils/get_file_size.py b/cognee/infrastructure/files/utils/get_file_size.py deleted file mode 100644 index 6619deb31..000000000 --- a/cognee/infrastructure/files/utils/get_file_size.py +++ /dev/null @@ -1,5 +0,0 @@ -import os - -def get_file_size(file_path: str): - """Get the size of a file""" - return os.path.getsize(file_path) diff --git a/cognee/modules/cognify/evaluate.py b/cognee/modules/cognify/evaluate.py index 626392963..194e71fe2 100644 --- a/cognee/modules/cognify/evaluate.py +++ b/cognee/modules/cognify/evaluate.py @@ -1,4 +1,3 @@ -import dsp import dspy from dspy.evaluate.evaluate import Evaluate from dspy.primitives.example import Example diff --git a/cognee/modules/cognify/train.py b/cognee/modules/cognify/train.py index b1d96c32c..5b2a058d0 100644 --- a/cognee/modules/cognify/train.py +++ b/cognee/modules/cognify/train.py @@ -1,4 +1,3 @@ -import dsp import dspy from dspy.teleprompt import BootstrapFewShot from dspy.primitives.example import Example diff --git a/cognee/modules/data/methods/__init__.py b/cognee/modules/data/methods/__init__.py index a904060f5..34f943359 100644 --- a/cognee/modules/data/methods/__init__.py +++ b/cognee/modules/data/methods/__init__.py @@ -6,6 +6,8 @@ from .get_dataset import get_dataset from .get_datasets import get_datasets from .get_datasets_by_name import get_datasets_by_name from .get_dataset_data import get_dataset_data +from .get_data import get_data # Delete from .delete_dataset import delete_dataset +from .delete_data import delete_data \ No newline at end of file diff --git a/cognee/modules/data/methods/delete_data.py b/cognee/modules/data/methods/delete_data.py new file mode 100644 index 000000000..7560762e1 --- /dev/null +++ b/cognee/modules/data/methods/delete_data.py @@ -0,0 +1,19 @@ +from cognee.modules.data.models import Data +from cognee.infrastructure.databases.relational import get_relational_engine + + +async def delete_data(data: Data): + """Delete a data record from the database. + + Args: + data (Data): The data object to be deleted. + + Raises: + ValueError: If the data object is invalid. + """ + if not hasattr(data, '__tablename__'): + raise ValueError("The provided data object is missing the required '__tablename__' attribute.") + + db_engine = get_relational_engine() + + return await db_engine.delete_data_by_id(data.__tablename__, data.id) diff --git a/cognee/modules/data/methods/delete_dataset.py b/cognee/modules/data/methods/delete_dataset.py index b0fe96c42..c2205144d 100644 --- a/cognee/modules/data/methods/delete_dataset.py +++ b/cognee/modules/data/methods/delete_dataset.py @@ -4,4 +4,4 @@ from cognee.infrastructure.databases.relational import get_relational_engine async def delete_dataset(dataset: Dataset): db_engine = get_relational_engine() - return await db_engine.delete_table(dataset.id) + return await db_engine.delete_data_by_id(dataset.__tablename__, dataset.id) diff --git a/cognee/modules/data/methods/get_data.py b/cognee/modules/data/methods/get_data.py new file mode 100644 index 000000000..b07401463 --- /dev/null +++ b/cognee/modules/data/methods/get_data.py @@ -0,0 +1,20 @@ +from uuid import UUID +from typing import Optional +from cognee.infrastructure.databases.relational import get_relational_engine +from ..models import Data + +async def get_data(data_id: UUID) -> Optional[Data]: + """Retrieve data by ID. + + Args: + data_id (UUID): ID of the data to retrieve + + Returns: + Optional[Data]: The requested data object if found, None otherwise + """ + db_engine = get_relational_engine() + + async with db_engine.get_async_session() as session: + data = await session.get(Data, data_id) + + return data \ No newline at end of file diff --git a/cognee/modules/data/methods/get_dataset.py b/cognee/modules/data/methods/get_dataset.py index f66b707a1..9f46fa223 100644 --- a/cognee/modules/data/methods/get_dataset.py +++ b/cognee/modules/data/methods/get_dataset.py @@ -1,8 +1,9 @@ +from typing import Optional from uuid import UUID from cognee.infrastructure.databases.relational import get_relational_engine from ..models import Dataset -async def get_dataset(user_id: UUID, dataset_id: UUID) -> Dataset: +async def get_dataset(user_id: UUID, dataset_id: UUID) -> Optional[Dataset]: db_engine = get_relational_engine() async with db_engine.get_async_session() as session: diff --git a/cognee/modules/data/models/Data.py b/cognee/modules/data/models/Data.py index feb9e3bff..064521539 100644 --- a/cognee/modules/data/models/Data.py +++ b/cognee/modules/data/models/Data.py @@ -20,9 +20,11 @@ class Data(Base): updated_at = Column(DateTime(timezone = True), onupdate = lambda: datetime.now(timezone.utc)) datasets: Mapped[List["Dataset"]] = relationship( + "Dataset", secondary = DatasetData.__tablename__, back_populates = "data", lazy = "noload", + cascade="all, delete" ) def to_json(self) -> dict: diff --git a/cognee/modules/data/models/Dataset.py b/cognee/modules/data/models/Dataset.py index 7e35ce982..5cf5d2351 100644 --- a/cognee/modules/data/models/Dataset.py +++ b/cognee/modules/data/models/Dataset.py @@ -19,9 +19,11 @@ class Dataset(Base): owner_id = Column(UUID, index = True) data: Mapped[List["Data"]] = relationship( + "Data", secondary = DatasetData.__tablename__, back_populates = "datasets", lazy = "noload", + cascade="all, delete" ) def to_json(self) -> dict: diff --git a/cognee/modules/data/models/DatasetData.py b/cognee/modules/data/models/DatasetData.py index b156d8d37..ed9d3c64c 100644 --- a/cognee/modules/data/models/DatasetData.py +++ b/cognee/modules/data/models/DatasetData.py @@ -7,5 +7,5 @@ class DatasetData(Base): created_at = Column(DateTime(timezone = True), default = lambda: datetime.now(timezone.utc)) - dataset_id = Column(UUID, ForeignKey("datasets.id"), primary_key = True) - data_id = Column(UUID, ForeignKey("data.id"), primary_key = True) + dataset_id = Column(UUID, ForeignKey("datasets.id", ondelete="CASCADE"), primary_key = True) + data_id = Column(UUID, ForeignKey("data.id", ondelete="CASCADE"), primary_key = True) diff --git a/cognee/modules/pipelines/Pipeline.py b/cognee/modules/pipelines/Pipeline.py index 13807d9ed..610394174 100644 --- a/cognee/modules/pipelines/Pipeline.py +++ b/cognee/modules/pipelines/Pipeline.py @@ -5,7 +5,7 @@ from .models.Task import Task class PipelineConfig(BaseModel): batch_count: int = 10 - description: Optional[str] + description: Optional[str] = None class Pipeline(): id: UUID = uuid4() diff --git a/cognee/modules/pipelines/operations/run_parallel.py b/cognee/modules/pipelines/operations/run_parallel.py index 045b8dec3..ab78b8300 100644 --- a/cognee/modules/pipelines/operations/run_parallel.py +++ b/cognee/modules/pipelines/operations/run_parallel.py @@ -1,8 +1,8 @@ -from typing import Any, Callable, Generator +from typing import Any, Callable, Generator, List import asyncio from ..tasks.Task import Task -def run_tasks_parallel(tasks: [Task]) -> Callable[[Any], Generator[Any, Any, Any]]: +def run_tasks_parallel(tasks: List[Task]) -> Callable[[Any], Generator[Any, Any, Any]]: async def parallel_run(*args, **kwargs): parallel_tasks = [asyncio.create_task(task.run(*args, **kwargs)) for task in tasks] diff --git a/cognee/shared/GithubTopology.py b/cognee/shared/GithubTopology.py index a84aa5983..3315c72e4 100644 --- a/cognee/shared/GithubTopology.py +++ b/cognee/shared/GithubTopology.py @@ -18,7 +18,7 @@ class Directory(BaseModel): directories: List['Directory'] = [] # Allows recursive Directory Model -Directory.update_forward_refs() +Directory.model_rebuild() class RepositoryProperties(BaseModel): custom_properties: Optional[Dict[str, Any]] = None diff --git a/cognee/shared/SourceCodeGraph.py b/cognee/shared/SourceCodeGraph.py index 279eb6870..51b90f296 100644 --- a/cognee/shared/SourceCodeGraph.py +++ b/cognee/shared/SourceCodeGraph.py @@ -6,15 +6,15 @@ class BaseClass(BaseModel): name: str type: Literal["Class"] = "Class" description: str - constructor_parameters: Optional[List[str]] + constructor_parameters: Optional[List[str]] = None class Class(BaseModel): id: str name: str type: Literal["Class"] = "Class" description: str - constructor_parameters: Optional[List[str]] - from_class: Optional[BaseClass] + constructor_parameters: Optional[List[str]] = None + from_class: Optional[BaseClass] = None class ClassInstance(BaseModel): id: str @@ -28,7 +28,7 @@ class Function(BaseModel): name: str type: Literal["Function"] = "Function" description: str - parameters: Optional[List[str]] + parameters: Optional[List[str]] = None return_type: str is_static: Optional[bool] = False @@ -38,7 +38,7 @@ class Variable(BaseModel): type: Literal["Variable"] = "Variable" description: str is_static: Optional[bool] = False - default_value: Optional[str] + default_value: Optional[str] = None class Operator(BaseModel): id: str diff --git a/cognee/tasks/chunk_naive_llm_classifier/chunk_naive_llm_classifier.py b/cognee/tasks/chunk_naive_llm_classifier/chunk_naive_llm_classifier.py index 3a9d957d0..154dadb61 100644 --- a/cognee/tasks/chunk_naive_llm_classifier/chunk_naive_llm_classifier.py +++ b/cognee/tasks/chunk_naive_llm_classifier/chunk_naive_llm_classifier.py @@ -21,7 +21,6 @@ async def chunk_naive_llm_classifier(data_chunks: list[DocumentChunk], classific for chunk_index, chunk in enumerate(data_chunks): chunk_classification = chunk_classifications[chunk_index] classification_data_points.append(uuid5(NAMESPACE_OID, chunk_classification.label.type)) - classification_data_points.append(uuid5(NAMESPACE_OID, chunk_classification.label.type)) for classification_subclass in chunk_classification.label.subclass: classification_data_points.append(uuid5(NAMESPACE_OID, classification_subclass.value)) @@ -39,7 +38,7 @@ async def chunk_naive_llm_classifier(data_chunks: list[DocumentChunk], classific if await vector_engine.has_collection(collection_name): existing_data_points = await vector_engine.retrieve( collection_name, - list(set(classification_data_points)), + [str(classification_data) for classification_data in list(set(classification_data_points))], ) if len(classification_data_points) > 0 else [] existing_points_map = {point.id: True for point in existing_data_points} @@ -60,7 +59,7 @@ async def chunk_naive_llm_classifier(data_chunks: list[DocumentChunk], classific data_points.append( DataPoint[Keyword]( id=str(classification_type_id), - payload=Keyword.parse_obj({ + payload=Keyword.model_validate({ "uuid": str(classification_type_id), "text": classification_type_label, "chunk_id": str(data_chunk.chunk_id), @@ -99,7 +98,7 @@ async def chunk_naive_llm_classifier(data_chunks: list[DocumentChunk], classific data_points.append( DataPoint[Keyword]( id=str(classification_subtype_id), - payload=Keyword.parse_obj({ + payload=Keyword.model_validate({ "uuid": str(classification_subtype_id), "text": classification_subtype_label, "chunk_id": str(data_chunk.chunk_id), diff --git a/cognee/tasks/graph/infer_data_ontology.py b/cognee/tasks/graph/infer_data_ontology.py index 58fddce84..e1a710fa2 100644 --- a/cognee/tasks/graph/infer_data_ontology.py +++ b/cognee/tasks/graph/infer_data_ontology.py @@ -56,7 +56,7 @@ class OntologyEngine: for item in items: flat_list.extend(await self.recursive_flatten(item, parent_id)) elif isinstance(items, dict): - model = NodeModel.parse_obj(items) + model = NodeModel.model_validate(items) flat_list.append(await self.flatten_model(model, parent_id)) for child in model.children: flat_list.extend(await self.recursive_flatten(child, model.node_id)) diff --git a/cognee/tasks/infer_data_ontology/models/models.py b/cognee/tasks/infer_data_ontology/models/models.py new file mode 100644 index 000000000..9c086b5c7 --- /dev/null +++ b/cognee/tasks/infer_data_ontology/models/models.py @@ -0,0 +1,31 @@ +from typing import Any, Dict, List, Optional, Union +from pydantic import BaseModel, Field + +class RelationshipModel(BaseModel): + type: str + source: str + target: str + +class NodeModel(BaseModel): + node_id: str + name: str + default_relationship: Optional[RelationshipModel] = None + children: List[Union[Dict[str, Any], "NodeModel"]] = Field(default_factory=list) + +NodeModel.model_rebuild() + + +class OntologyNode(BaseModel): + id: str = Field(..., description = "Unique identifier made from node name.") + name: str + description: str + +class OntologyEdge(BaseModel): + id: str + source_id: str + target_id: str + relationship_type: str + +class GraphOntology(BaseModel): + nodes: list[OntologyNode] + edges: list[OntologyEdge] diff --git a/cognee/tests/test_library.py b/cognee/tests/test_library.py index f20080a5c..d7e7e5fe8 100755 --- a/cognee/tests/test_library.py +++ b/cognee/tests/test_library.py @@ -49,7 +49,7 @@ async def main(): search_results = await cognee.search(SearchType.SUMMARIES, query = random_node_name) assert len(search_results) != 0, "Query related summaries don't exist." - print("\n\Extracted summaries are:\n") + print("\nExtracted summaries are:\n") for result in search_results: print(f"{result}\n") diff --git a/cognee/tests/test_neo4j.py b/cognee/tests/test_neo4j.py index 31bff65ff..2f9abf124 100644 --- a/cognee/tests/test_neo4j.py +++ b/cognee/tests/test_neo4j.py @@ -53,7 +53,7 @@ async def main(): search_results = await cognee.search(SearchType.SUMMARIES, query = random_node_name) assert len(search_results) != 0, "Query related summaries don't exist." - print("\n\Extracted summaries are:\n") + print("\nExtracted summaries are:\n") for result in search_results: print(f"{result}\n") diff --git a/cognee/tests/test_qdrant.py b/cognee/tests/test_qdrant.py index 9766938e2..84fac6a2e 100644 --- a/cognee/tests/test_qdrant.py +++ b/cognee/tests/test_qdrant.py @@ -54,7 +54,7 @@ async def main(): search_results = await cognee.search(SearchType.SUMMARIES, query = random_node_name) assert len(search_results) != 0, "Query related summaries don't exist." - print("\n\Extracted summaries are:\n") + print("\nExtracted summaries are:\n") for result in search_results: print(f"{result}\n") diff --git a/cognee/tests/test_weaviate.py b/cognee/tests/test_weaviate.py index 175c9ecd1..e943e1ec9 100644 --- a/cognee/tests/test_weaviate.py +++ b/cognee/tests/test_weaviate.py @@ -52,7 +52,7 @@ async def main(): search_results = await cognee.search(SearchType.SUMMARIES, query = random_node_name) assert len(search_results) != 0, "Query related summaries don't exist." - print("\n\Extracted summaries are:\n") + print("\nExtracted summaries are:\n") for result in search_results: print(f"{result}\n") diff --git a/docs/configuration.md b/docs/configuration.md index b41810bff..91ec6ecba 100644 --- a/docs/configuration.md +++ b/docs/configuration.md @@ -14,9 +14,11 @@ Check available configuration options: from cognee.infrastructure.databases.vector import get_vectordb_config from cognee.infrastructure.databases.graph.config import get_graph_config from cognee.infrastructure.databases.relational import get_relational_config +from cognee.infrastructure.llm.config import get_llm_config print(get_vectordb_config().to_dict()) print(get_graph_config().to_dict()) print(get_relational_config().to_dict()) +print(get_llm_config().to_dict()) ``` @@ -29,8 +31,7 @@ GRAPH_DATABASE_PROVIDER = 'lancedb' Otherwise, you can set the configuration yourself: ```python - -cognee.config.llm_provider = 'ollama' +cognee.config.set_llm_provider('ollama') ``` ## 🚀 Getting Started with Local Models @@ -52,15 +53,14 @@ LLM_PROVIDER = 'ollama' Otherwise, you can set the configuration for the model: ```bash -cognee.config.llm_provider = 'ollama' +cognee.config.set_llm_provider('ollama') ``` You can also set the HOST and model name: ```bash - -cognee.config.llm_endpoint = "http://localhost:11434/v1" -cognee.config.llm_model = "mistral:instruct" +cognee.config.set_llm_endpoint("http://localhost:11434/v1") +cognee.config.set_llm_model("mistral:instruct") ``` @@ -73,7 +73,7 @@ LLM_PROVIDER = 'custom' Otherwise, you can set the configuration for the model: ```bash -cognee.config.llm_provider = 'custom' +cognee.config.set_llm_provider('custom') ``` You can also set the HOST and model name: diff --git a/examples/python/simple_example.py b/examples/python/simple_example.py new file mode 100644 index 000000000..9b64142ed --- /dev/null +++ b/examples/python/simple_example.py @@ -0,0 +1,39 @@ +import cognee +import asyncio +from cognee.api.v1.search import SearchType + +# Prerequisites: +# 1. Copy `.env.template` and rename it to `.env`. +# 2. Add your OpenAI API key to the `.env` file in the `LLM_API_KEY` field: +# LLM_API_KEY = "your_key_here" +# 3. (Optional) To minimize setup effort, set `VECTOR_DB_PROVIDER="lancedb"` in `.env". + +async def main(): + # Create a clean slate for cognee -- reset data and system state + await cognee.prune.prune_data() + await cognee.prune.prune_system(metadata=True) + + # cognee knowledge graph will be created based on this text + text = """ + Natural language processing (NLP) is an interdisciplinary + subfield of computer science and information retrieval. + """ + + # Add the text, and make it available for cognify + await cognee.add(text) + + # Use LLMs and cognee to create knowledge graph + await cognee.cognify() + + # Query cognee for insights on the added text + search_results = await cognee.search( + SearchType.INSIGHTS, + {'query': 'Tell me about NLP'} + ) + + # Display search results + for result_text in search_results: + print(result_text) + +if __name__ == '__main__': + asyncio.run(main()) diff --git a/poetry.lock b/poetry.lock index 46ba5042e..d30aa907b 100644 --- a/poetry.lock +++ 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