diff --git a/client/modules/_hooks/src/datafiles/index.ts b/client/modules/_hooks/src/datafiles/index.ts index b7b04d2ba..e0ed0a799 100644 --- a/client/modules/_hooks/src/datafiles/index.ts +++ b/client/modules/_hooks/src/datafiles/index.ts @@ -21,6 +21,7 @@ export { useNewFolder } from './useNewFolder'; export { useUploadFile } from './useUploadFile'; export { useUploadFolder } from './useUploadFolder'; export { useFileDetail } from './useFileDetail'; +export * from './useKeywordSuggestions'; export { useGithubListing, type TGithubFileObj } from './useGithubListing'; export * from './usePathDisplayName'; diff --git a/client/modules/_hooks/src/datafiles/useKeywordSuggestions.ts b/client/modules/_hooks/src/datafiles/useKeywordSuggestions.ts new file mode 100644 index 000000000..6da886b0b --- /dev/null +++ b/client/modules/_hooks/src/datafiles/useKeywordSuggestions.ts @@ -0,0 +1,32 @@ +import { useQuery } from '@tanstack/react-query'; +import apiClient from '../apiClient'; + +export type TGetKeywordSuggestionsParams = { + title: string; + description: string; +}; + +export interface KeywordSuggestionResponse { + response: string[]; +} + +export function useKeywordSuggestions( + searchParams: TGetKeywordSuggestionsParams +) { + return useQuery({ + queryKey: [ + 'keywordSuggestions', + searchParams.title.trim(), + searchParams.description.trim(), + ], + queryFn: async () => { + const res = await apiClient.get( + '/api/keyword-suggestions/', + { params: searchParams } + ); + return res.data.response; + }, + enabled: !!searchParams.title.trim() && !!searchParams.description.trim(), + staleTime: 0, + }); +} diff --git a/client/modules/datafiles/src/projects/forms/BaseProjectForm.tsx b/client/modules/datafiles/src/projects/forms/BaseProjectForm.tsx index 51e210d73..c58cf2284 100644 --- a/client/modules/datafiles/src/projects/forms/BaseProjectForm.tsx +++ b/client/modules/datafiles/src/projects/forms/BaseProjectForm.tsx @@ -1,4 +1,4 @@ -import { Alert, Button, Form, Input, Popconfirm, Select } from 'antd'; +import { Alert, Button, Form, Input, Popconfirm, Select, Tag } from 'antd'; import React, { useCallback, useEffect, useMemo, useState } from 'react'; import { nhTypeOptions, @@ -24,6 +24,7 @@ import { import { customRequiredMark } from './_common'; import { AuthorSelect } from './_fields/AuthorSelect'; import { ProjectTypeRadioSelect } from '../modals/ProjectTypeRadioSelect'; +import { KeywordSuggestor } from './KeywordSuggestor'; export const ProjectTypeInput: React.FC<{ projectType: TBaseProjectValue['projectType']; @@ -372,23 +373,6 @@ export const BaseProjectForm: React.FC<{ - {projectType !== 'None' && ( - - Choose informative words that indicate the content of the project. - Keywords should be comma-separated. - - - - - )} What is this project about? How can data in this project be reused? How is this project unique? Who is the audience? Description must be between @@ -418,6 +402,31 @@ export const BaseProjectForm: React.FC<{ + + {projectType !== 'None' && ( + + Choose informative words that indicate the content of the project. + Keywords should be comma-separated. + + - - - What was under investigation? How was it tested? What was the outcome? How can the data be reused? Description must be between 750 and 5000 @@ -174,6 +158,28 @@ const ExperimentFormFields: React.FC<{ + + Choose informative words that indicate the content of the project. + Keywords should be comma-separated. + + + + + + You can order the authors during the publication process. = ({ projectUsers, currentAuthors = [] }) => { +}> = ({ form, projectUsers, currentAuthors = [] }) => { return ( <> @@ -263,22 +270,6 @@ const SimulationFormFields: React.FC<{ - - Choose informative words that indicate the content of the project. - Keywords should be comma-separated. - - - - - What was under investigation? How was it tested? What was the outcome? How can the data be reused? Description must be between 750 and 5000 @@ -309,6 +300,28 @@ const SimulationFormFields: React.FC<{ + + Choose informative words that indicate the content of the project. + Keywords should be comma-separated. + + + + + + You can order the authors during the publication process. = ({ projectUsers, currentAuthors = [] }) => { +}> = ({ form, projectUsers, currentAuthors = [] }) => { return ( <> @@ -398,22 +412,6 @@ const HybridSimFormFields: React.FC<{ - - Choose informative words that indicate the content of the project. - Keywords should be comma-separated. - - - - - What was under investigation? How was it tested? What was the outcome? How can the data be reused? Description must be between 750 and 5000 @@ -444,6 +442,28 @@ const HybridSimFormFields: React.FC<{ + + Choose informative words that indicate the content of the project. + Keywords should be comma-separated. + + + + + + You can order the authors during the publication process. = ({ projectUsers, currentAuthors = [] }) => { +}> = ({ form, projectUsers, currentAuthors = [] }) => { return ( <> @@ -587,22 +608,6 @@ const MissionFormFields: React.FC<{ - - Choose informative words that indicate the content of the project. - Keywords should be comma-separated. - - - - - What was under investigation? How was it tested? What was the outcome? How can the data be reused? Description must be between 750 and 5000 @@ -632,14 +637,37 @@ const MissionFormFields: React.FC<{ + + + Choose informative words that indicate the content of the project. + Keywords should be comma-separated. + + + + + ); }; const DocumentFormFields: React.FC<{ + form: FormInstance; projectUsers: TProjectUser[]; currentAuthors?: TProjectUser[]; -}> = ({ projectUsers, currentAuthors = [] }) => { +}> = ({ form, projectUsers, currentAuthors = [] }) => { return ( <> @@ -702,22 +730,6 @@ const DocumentFormFields: React.FC<{ - - Choose informative words that indicate the content of the project. - Keywords should be comma-separated. - - - - - What was under investigation? How was it tested? What was the outcome? How can the data be reused? Description must be between 750 and 5000 @@ -747,6 +759,28 @@ const DocumentFormFields: React.FC<{ + + + Choose informative words that indicate the content of the project. + Keywords should be comma-separated. + + + + + ); }; @@ -810,24 +844,28 @@ export const PublishableEntityForm: React.FC<{ )} {projectType === 'simulation' && ( )} {projectType === 'hybrid_simulation' && ( )} {entityName === constants.FIELD_RECON_MISSION && ( )} {entityName === constants.FIELD_RECON_REPORT && ( diff --git a/conf/env_files/designsafe.sample.env b/conf/env_files/designsafe.sample.env index c47165d15..1105af219 100644 --- a/conf/env_files/designsafe.sample.env +++ b/conf/env_files/designsafe.sample.env @@ -213,3 +213,12 @@ ALLOCATIONS_TO_EXCLUDE= # TAPIS TMS CREDENTIALS SYSTEMS # Note: Comma-separated list of tapis systemIds using TMS_KEYS TMS_SYSTEMS= + +# AI KEYWORDS SETTINGS +SN_API_KEY= +SN_API_ENDPOINT= +CHROMA_ENDPOINT= +CHROMA_PORT= +CHROMA_PASSWORD= +CHROMA_USERNAME= +CHROMA_COLLECTION= diff --git a/designsafe/apps/api/ai_keywords/__init__.py b/designsafe/apps/api/ai_keywords/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/designsafe/apps/api/ai_keywords/urls.py b/designsafe/apps/api/ai_keywords/urls.py new file mode 100644 index 000000000..00a430b52 --- /dev/null +++ b/designsafe/apps/api/ai_keywords/urls.py @@ -0,0 +1,8 @@ +"""URLs for RAG-based keyword suggestions.""" + +from django.urls import path +from .views import KeywordsView + +urlpatterns = [ + path("/", KeywordsView.as_view()), +] diff --git a/designsafe/apps/api/ai_keywords/utils.py b/designsafe/apps/api/ai_keywords/utils.py new file mode 100644 index 000000000..e5505d72d --- /dev/null +++ b/designsafe/apps/api/ai_keywords/utils.py @@ -0,0 +1,65 @@ +"""Utility functions for AI keyword extraction and ChromaDB ingest.""" + +import json +from django.conf import settings +from designsafe.apps.api.publications_v2.models import Publication +from designsafe.apps.api.ai_keywords.views import RAG + + +def _retrieve_keywords(pub: Publication) -> list[str]: + """Retrieve and process keywords from a publication.""" + + keywords = pub.value.get("keywords", []) + + # Split keywords by comma, semicolon, and hyphens surrounded by spaces + keywords_split_comma = [keyword.split(",") for keyword in keywords] + keywords = [ + keyword.strip() for sublist in keywords_split_comma for keyword in sublist + ] + + keywords_split_semi = [keyword.split(";") for keyword in keywords] + keywords = [ + keyword.strip() for sublist in keywords_split_semi for keyword in sublist + ] + + keywords_split_hyphen = [keyword.split(" - ") for keyword in keywords] + keywords = [ + keyword.strip() for sublist in keywords_split_hyphen for keyword in sublist + ] + + # Remove duplicates + return list(set(keywords)) + + +def add_publications_to_chroma(publications: list[Publication]) -> None: + """Add publications to Chroma vector store.""" + + chroma_client = RAG().client + + collection = chroma_client.get_collection(name=settings.CHROMA_COLLECTION) + docs = [] + ids = [] + metadatas = [] + + for pub in publications: + keywords = _retrieve_keywords(pub) + + # Convert nhTypes to a string + nh_types = pub.value.get("nhTypes", []) + + doc = { + "id": f"{pub.project_id}", + "metadata": { + "projectId": pub.project_id, + "title": pub.value.get("title"), + "description": pub.value.get("description"), + "keywords": ", ".join(keywords), + "nhTypes": ", ".join(nhType["id"] for nhType in nh_types), + "projectType": pub.value.get("projectType"), + }, + } + docs.append(json.dumps(doc["metadata"])) + ids.append(doc["id"]) + metadatas.append(doc["metadata"]) + + collection.upsert(documents=docs, ids=ids, metadatas=metadatas) diff --git a/designsafe/apps/api/ai_keywords/views.py b/designsafe/apps/api/ai_keywords/views.py new file mode 100644 index 000000000..80ca704c4 --- /dev/null +++ b/designsafe/apps/api/ai_keywords/views.py @@ -0,0 +1,141 @@ +"""Views for RAG-based keyword suggestions.""" + +import logging +from chromadb import HttpClient, Settings +from typing_extensions import List, TypedDict +from langchain_core.documents import Document +from langgraph.graph import START, StateGraph +from langchain_chroma import Chroma +from langchain_huggingface import HuggingFaceEmbeddings +from langchain.prompts import PromptTemplate +from langchain_openai import ChatOpenAI +from django.http import HttpRequest, JsonResponse +from django.conf import settings +from designsafe.apps.api.views import BaseApiView, ApiException + +logger = logging.getLogger(__name__) + + +SCORE_THRESHOLD = 0.25 + + +class KeywordsView(BaseApiView): + """View to get keyword suggestions based on project title and description.""" + + def get(self, request: HttpRequest): + """Get keyword suggestions based on project title and description.""" + + title = request.GET.get("title") + description = request.GET.get("description") + + if not title or not description: + raise ApiException("title or description not in request") + + try: + rag = RAG() + except Exception as e: + raise ApiException("Error initializing RAG") from e + + graph_builder = StateGraph(State).add_sequence([rag.retrieve, rag.generate]) + graph_builder.add_edge(START, "retrieve") + graph = graph_builder.compile() + resp = graph.invoke( + {"question": f"project title: {title}, description: {description}"} + ) + try: + answer = resp["answer"].split(", ") + except AttributeError: + logger.exception("Error decoding answer") + logger.debug(f"Raw answer: {resp['answer']}") + answer = [] + + resp_list = answer if isinstance(answer, list) else [] + + return JsonResponse({"response": resp_list}) + + +class State(TypedDict): + """RAG state model""" + + question: str + context: List[Document] + answer: str + + +class RAG: + """Retrieval-Augmented Generation for keyword suggestions.""" + + API_KEY = settings.SN_API_KEY + API_ENDPOINT = settings.SN_API_ENDPOINT + + template = """ + You are an assistant for finding keywords for a supplied project title and description. Use the following pieces of retrieved context to answer the question. If you don't know the answer, respond with nothing. + Reference the "keywords" field in the metadata object of the retrieved responses for existing keyword examples. + Respond only with the suggested keywords as a comma-separated list of strings, ordered by rank. Respond only with your final answer, and do not include any other text or commentary. + Make sure to follow these guidelines for keyword suggestions: + + Best Practices for Keywords + - Keywords may be single words or multi-word phrases (e.g. "storm surge", "tropical storm", "machine learning"). Match the format of suggested keywords to that of the existing keyword examples. + - Think like a user: choose terms someone would actually type (hazard type, method, region). + - Include technology or problem addressed, and the purpose of the data. + - Repeat important words from your title/description to boost discoverability. + - Rank by frequency among other existing projects, by similarity or synonym to the words in the project title and project description; proper nouns carry less weight. + - Do not include proper nouns (e.g. specific names of people, places, or events) unless directly referenced in the provided title or description. + + Question: {question} + Context: {context} + Answer: + """ + + QA_CHAIN_PROMPT = PromptTemplate.from_template(template) + + def __init__(self): + try: + self.client = HttpClient( + host=settings.CHROMA_ENDPOINT, + port=settings.CHROMA_PORT, + ssl=True, + settings=Settings( + chroma_client_auth_provider="chromadb.auth.basic_authn.BasicAuthClientProvider", + chroma_client_auth_credentials=f"{settings.CHROMA_USERNAME}:{settings.CHROMA_PASSWORD}", + chroma_auth_token_transport_header="Authorization", + ), + ) + + embedding_function = HuggingFaceEmbeddings( + model_name="sentence-transformers/all-MiniLM-L6-v2" + ) + + self.vector_store = Chroma( + client=self.client, + collection_name=settings.CHROMA_COLLECTION, + embedding_function=embedding_function, + ) + + self.llm = ChatOpenAI( + base_url=self.API_ENDPOINT, + api_key=self.API_KEY, + model="Llama-4-Maverick-17B-128E-Instruct", + temperature=0.1, + top_p=0.1, + ) + + except Exception as e: + logger.exception("Error initializing RAG") + raise e + + def retrieve(self, state: State): + """Retrieve relevant documents from vector store based on the question.""" + retrieved_docs = self.vector_store.similarity_search_with_relevance_scores( + state["question"], k=10, score_threshold=SCORE_THRESHOLD + ) + return {"context": [doc[0].page_content for doc in retrieved_docs]} + + def generate(self, state: State): + """Generate an answer based on the question and retrieved documents.""" + docs_content = "\n\n".join(doc for doc in state["context"]) + messages = self.QA_CHAIN_PROMPT.invoke( + {"question": state["question"], "context": docs_content} + ) + response = self.llm.invoke(messages) + return {"answer": response.content} diff --git a/designsafe/apps/api/projects_v2/operations/project_publish_operations.py b/designsafe/apps/api/projects_v2/operations/project_publish_operations.py index 67b4202d3..ba8814154 100644 --- a/designsafe/apps/api/projects_v2/operations/project_publish_operations.py +++ b/designsafe/apps/api/projects_v2/operations/project_publish_operations.py @@ -40,6 +40,7 @@ from designsafe.apps.data.tasks import agave_indexer from designsafe.apps.api.publications_v2.tasks import ingest_pub_fedora_async from designsafe.libs.common.context_managers import AsyncTaskContext +from designsafe.apps.api.ai_keywords.utils import add_publications_to_chroma logger = logging.getLogger(__name__) @@ -614,9 +615,10 @@ def publish_project_async( version_info: Optional[str] = None, dry_run: bool = False, ): - """Async wrapper arount publication""" + """Async wrapper around publication""" with AsyncTaskContext(): - publish_project(project_id, entity_uuids, version, version_info, dry_run) + meta = publish_project(project_id, entity_uuids, version, version_info, dry_run) + add_publications_to_chroma(publications=[meta]) def amend_publication(project_id: str): diff --git a/designsafe/apps/api/urls.py b/designsafe/apps/api/urls.py index e899ebc15..4fad4e8bd 100644 --- a/designsafe/apps/api/urls.py +++ b/designsafe/apps/api/urls.py @@ -28,5 +28,6 @@ url(r'^notifications/', include('designsafe.apps.api.notifications.urls')), url(r'^users/', include('designsafe.apps.api.users.urls')), url(r'^search/', include(('designsafe.apps.api.search.urls', 'designsafe.apps.api.search'), namespace="ds_search_api")), - url(r'^licenses/', include('designsafe.apps.api.licenses.urls')) + url(r'^licenses/', include('designsafe.apps.api.licenses.urls')), + path("keyword-suggestions", include("designsafe.apps.api.ai_keywords.urls")) ] diff --git a/designsafe/settings/common_settings.py b/designsafe/settings/common_settings.py index 1f41db5dd..c892cabfb 100644 --- a/designsafe/settings/common_settings.py +++ b/designsafe/settings/common_settings.py @@ -759,3 +759,12 @@ def guid_filter(record): }, }, ] + +# AI KEYWORDS SETTINGS +SN_API_KEY = os.environ.get("SN_API_KEY") +SN_API_ENDPOINT = os.environ.get("SN_API_ENDPOINT") +CHROMA_ENDPOINT = os.environ.get("CHROMA_ENDPOINT") +CHROMA_PORT = int(os.environ.get("CHROMA_PORT", 443)) +CHROMA_PASSWORD = os.environ.get("CHROMA_PASSWORD") +CHROMA_USERNAME = os.environ.get("CHROMA_USERNAME") +CHROMA_COLLECTION = os.environ.get("CHROMA_COLLECTION", "designsafe_keywords") diff --git a/designsafe/settings/test_settings.py b/designsafe/settings/test_settings.py index 79156b581..d93ae0568 100644 --- a/designsafe/settings/test_settings.py +++ b/designsafe/settings/test_settings.py @@ -811,3 +811,12 @@ RT_PW = 'test' RT_QUEUE = 'test' RT_TAG = 'test_tag' + +# AI KEYWORDS SETTINGS +SN_API_KEY = "test" +SN_API_ENDPOINT = "https://test.com" +CHROMA_ENDPOINT = "https://test.com" +CHROMA_PORT = 443 +CHROMA_PASSWORD = "test" +CHROMA_USERNAME = "test" +CHROMA_COLLECTION = "test" diff --git a/poetry.lock b/poetry.lock index e9294e047..2f86d7388 100644 --- a/poetry.lock +++ b/poetry.lock @@ -55,6 +55,26 @@ files = [ {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, ] +[[package]] +name = "anyio" +version = "4.10.0" +description = "High-level concurrency and networking framework on top of asyncio or Trio" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "anyio-4.10.0-py3-none-any.whl", hash = "sha256:60e474ac86736bbfd6f210f7a61218939c318f43f9972497381f1c5e930ed3d1"}, + {file = "anyio-4.10.0.tar.gz", hash = "sha256:3f3fae35c96039744587aa5b8371e7e8e603c0702999535961dd336026973ba6"}, +] + +[package.dependencies] +idna = ">=2.8" +sniffio = ">=1.1" +typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} + +[package.extras] +trio = ["trio (>=0.26.1)"] + [[package]] name = "arrow" version = "1.3.0" @@ -213,6 +233,18 @@ files = [ [package.extras] visualize = ["Twisted (>=16.1.1)", "graphviz (>0.5.1)"] +[[package]] +name = "backoff" +version = "2.2.1" +description = "Function decoration for backoff and retry" +optional = false +python-versions = ">=3.7,<4.0" +groups = ["main"] +files = [ + {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"}, + {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"}, +] + [[package]] name = "bcrypt" version = "4.3.0" @@ -360,28 +392,51 @@ uvloop = ["uvloop (>=0.15.2)"] [[package]] name = "boxsdk" -version = "2.14.0" +version = "3.14.0" description = "Official Box Python SDK" optional = false python-versions = "*" groups = ["main"] files = [ - {file = "boxsdk-2.14.0-py2.py3-none-any.whl", hash = "sha256:6b01bf2f1951f89e4b1d6d974f0bf7d39fb1c0e734a15933a576b1a0de727934"}, - {file = "boxsdk-2.14.0.tar.gz", hash = "sha256:9bcb4324399778bb00a770efe01e63f131ccdd392350d1e51cafdaa868bca3d3"}, + {file = "boxsdk-3.14.0-py2.py3-none-any.whl", hash = "sha256:0314e2f172b050e98489955f2e9001263de79c3dd751e6feee19f2195fdf7c01"}, + {file = "boxsdk-3.14.0.tar.gz", hash = "sha256:7918b1929368724662474fffa417fa0457a523d089b8185260efbedd28c4f9b1"}, ] [package.dependencies] attrs = ">=17.3.0" -requests = ">=2.4.3" -requests-toolbelt = ">=0.4.0,<1.0.0" -six = ">=1.9.0" -wrapt = ">=1.10.1" +python-dateutil = "*" +requests = ">=2.4.3,<3" +requests-toolbelt = ">=0.4.0" +urllib3 = "*" [package.extras] -all = ["cryptography (>=3,<3.5.0)", "pyjwt (>=1.3.0)", "redis (>=2.10.3)"] -jwt = ["cryptography (>=3,<3.5.0)", "pyjwt (>=1.3.0)"] +coveralls = ["coveralls", "tox (<=3.28.0)"] +dev = ["tox (<=3.28.0)"] +gh = ["tox (<=3.28.0)", "tox-gh-actions"] +jwt = ["cryptography (>=3)", "pyjwt (>=1.7.0)"] redis = ["redis (>=2.10.3)"] -test = ["bottle", "coverage (<5.0)", "jsonpatch", "mock (>=2.0.0,<4.0.0)", "pycodestyle", "pylint", "pytest (>=2.8.3,<4.0.0)", "pytest-cov", "pytest-xdist (<1.28.0)", "python-coveralls", "pytz", "sqlalchemy (<1.4.0)", "tox"] +test = ["bottle", "jsonpatch (>1.14)", "pytest (<8.0.0)", "pytest-cov (<5.0.0)", "pytest-lazy-fixture (<1.0.0)", "pytest-timeout (<3.0.0)", "pytz", "sqlalchemy (<1.4.0)", "urllib3 (<2)"] + +[[package]] +name = "build" +version = "1.3.0" +description = "A simple, correct Python build frontend" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "build-1.3.0-py3-none-any.whl", hash = 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