From 48ecc75415df3a378f263256365aaf81b7609a03 Mon Sep 17 00:00:00 2001 From: Matt Gee Date: Tue, 16 Jul 2024 08:08:35 -0700 Subject: [PATCH 1/2] create new custom adeptid tool --- .gitignore | 1 + backend/custom_tools/adeptid.py | 67 ++++++++++++- backend/tests/notebooks/dev_tools.ipynb | 121 ++++++++++++++++++++++++ frontend/src/components/Layout.tsx | 8 +- 4 files changed, 188 insertions(+), 9 deletions(-) create mode 100644 backend/tests/notebooks/dev_tools.ipynb diff --git a/.gitignore b/.gitignore index a36059a7f..37deb1e85 100644 --- a/.gitignore +++ b/.gitignore @@ -3,6 +3,7 @@ postgres-volume/ redis-volume/ backend/ui +tests/notebooks # Operating System generated files .DS_Store diff --git a/backend/custom_tools/adeptid.py b/backend/custom_tools/adeptid.py index b05762679..f440cff6a 100644 --- a/backend/custom_tools/adeptid.py +++ b/backend/custom_tools/adeptid.py @@ -4,6 +4,8 @@ from typing import List import os +ADEPT_ID_API_KEY = + # Define the input schema for the tool class WorkHistory(BaseModel): title: str @@ -26,21 +28,75 @@ class Candidate(BaseModel): education: List[Education] skills: List[str] -class AdeptIDJobRecommendationInput(BaseModel): +class AdeptIDSkillSearchInput(BaseModel): + skills: List[str] + result_count: int = 1 + offset: int = 1 + +class AdeptIDDestionationOccupationRecommendationInput(BaseModel): candidates: List[Candidate] limit: int = 10 offset: int = 1 - skill_count: int = 5 + +class AdeptIDJobRecommendationInput(BaseModel): + skill_count: int = 0 + destination_jobs: List[str] + limit: int = 1000 + offset: int = 0 + +class AdeptIDSkillSearch(BaseTool): + name = "AdeptIDSkillSearch" + description = "Searches for skills and returns the top results." + + input = AdeptIDSkillSearchInput + + def _run(self, input: AdeptIDSkillSearchInput): + url = "https://api.adept-id.com/v2/skill" + api_key = os.getenv("ADEPTID_API_KEY") + headers = { + "Content-Type": "application/json", + "Authorization": f"Bearer {api_key}" # Replace with your actual API key + } + payload = input.json() + #TODO: check whether this is GET or POST + response = requests.post(url, headers=headers, data=payload) + + if response.status_code == 200: + return response.json() + else: + return {"error": response.json()} + +class AdeptIDDestinationOccupationRecommendation(BaseTool): + name = "AdeptIDDestinationOccupationRecommendation" + description = "Recommends occupations and career paths to a candidate based on their skills and interests." + + input = AdeptIDDestionationOccupationRecommendationInput + + def _run(self, input: AdeptIDJobRecommendationInput): + url = "https://api.adept-id.com/v2/recommend-destination-occupation" + api_key = os.getenv("ADEPTID_API_KEY") + headers = { + "Content-Type": "application/json", + "Authorization": f"Bearer {api_key}" # Replace with your actual API key + } + payload = input.json() + + response = requests.post(url, headers=headers, data=payload) + + if response.status_code == 200: + return response.json() + else: + return {"error": response.json()} # Define the tool class class AdeptIDJobRecommendation(BaseTool): name = "AdeptIDJobRecommendation" - description = "Recommends next step career opportunities for a specific candidate." + description = "Recommends specific jobs for a candidate based on their destination occupation and skills." - input_model = AdeptIDJobRecommendationInput + input = AdeptIDJobRecommendationInput def _run(self, input: AdeptIDJobRecommendationInput): - url = "https://api.adept-id.com/v2/recommend-destination-occupation" + url = "https://api.adept-id.com/v2/evaluate-jobs" api_key = os.getenv("ADEPTID_API_KEY") headers = { "Content-Type": "application/json", @@ -84,5 +140,6 @@ def _run(self, input: AdeptIDJobRecommendationInput): skill_count=5 ) + result = tool.run(input_data) print(result) diff --git a/backend/tests/notebooks/dev_tools.ipynb b/backend/tests/notebooks/dev_tools.ipynb new file mode 100644 index 000000000..458205211 --- /dev/null +++ b/backend/tests/notebooks/dev_tools.ipynb @@ -0,0 +1,121 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "ename": "", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[1;31mRunning cells with 'opengpts-py3.10 (Python 3.10.9)' requires the ipykernel package.\n", + "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n", + "\u001b[1;31mCommand: '/Users/mattgee/brighthive/opengpts/opengpts-py3.10/bin/python -m pip install ipykernel -U --force-reinstall'" + ] + } + ], + "source": [ + "from opengpts.backend.custom_tools import adeptid as aid" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "class AdeptIDSkillSearchInput(BaseModel):\n", + " skills: List[str]\n", + " result_count: int = 1\n", + " offset: int = 1\n", + "\n", + "class AdeptIDDestionationOccupationRecommendationInput(BaseModel):\n", + " candidates: List[Candidate]\n", + " limit: int = 10\n", + " offset: int = 1\n", + "\n", + "class AdeptIDJobRecommendationInput(BaseModel):\n", + " skill_count: int = 0\n", + " destination_jobs: List[str]\n", + " limit: int = 1000\n", + " offset: int = 0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "#inputs\n", + "\n", + "skills_data = [\"carpentry\", \"communication\", \"cooking\", \"python\"]\n", + "\n", + "job_data = aid.AdeptIDJobRecommendationInput(\n", + " destination_jobs = [\"Carpenter\", \"Computer programmer\"],\n", + ")\n", + "\n", + "occupation_data = aid.AdeptIDDestionationOccupationRecommendationInput(\n", + " candidates=[\n", + " aid.Candidate(\n", + " id=\"Piya Gupta\",\n", + " work_history=[\n", + " aid.WorkHistory(title=\"Retail Sales Associate\", start_date=\"12/2019\", end_date=\"4/2022\"),\n", + " aid.WorkHistory(title=\"Graphic Designer\", start_date=\"5/2022\", end_date=\"4/2024\")\n", + " ],\n", + " education=[\n", + " aid.Education(\n", + " level=\"ASSOCIATES\", degree_type=\"ASSOCIATE OF ARTS\", subject=\"Business\",\n", + " start_date=\"09/2020\", end_date=\"06/2022\",\n", + " institution=\"Northern Virgina Community College\", gpa=3.5,\n", + " summary=\"Completed Associate's in Business with a concentration in marketing and high honors graduation\"\n", + " )\n", + " ],\n", + " skills=[\"Graphic Design\", \"Adobe Photoshop\", \"Illustration\", \"Marketing\", \"Logo Design\", \"Merchandising\", \"Writing\"]\n", + " )\n", + " ],\n", + " limit=10,\n", + " offset=1,\n", + " skill_count=5\n", + " )\n", + "\n", + "skills_data = aid.AdeptIDSkillSearchInput(\n", + "\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "skill = aid.AdeptIDSkillSearch()\n", + "occupation = aid.AdeptIDDestinationOccupationRecommendation() \n", + "job = aid.AdeptIDJobRecommendation()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "opengpts-py3.10", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.10.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/frontend/src/components/Layout.tsx b/frontend/src/components/Layout.tsx index 551527a13..dc4c67f9d 100644 --- a/frontend/src/components/Layout.tsx +++ b/frontend/src/components/Layout.tsx @@ -101,15 +101,15 @@ export function Layout(props: {
{props.subtitle ? ( <> - OpenGPTs: {props.subtitle} + BrightBot Assistants: {props.subtitle} ) : ( - "OpenGPTs" + "BrightBot Assistants" )}
- Research Preview: this is unauthenticated and all data can be found. - Do not use with sensitive data + Beta feature: this is a beta admin portal for custom brightbot assistants. Please report any issues to the BrightBot team. +
From e87b286e7085480d2ee43a0c65adc638944deceb Mon Sep 17 00:00:00 2001 From: Matt Gee Date: Tue, 6 Aug 2024 11:43:32 -0500 Subject: [PATCH 2/2] updated the AdpetID tools --- backend/app/agent.py | 8 + backend/app/tools.py | 51 +- backend/custom_tools/adeptid.py | 2 +- backend/custom_tools/skillup.py | 0 ...reate_extensions_and_first_tables.down.sql | 3 + ..._create_extensions_and_first_tables.up.sql | 24 + .../000002_checkpoints_update_schema.down.sql | 5 + .../000002_checkpoints_update_schema.up.sql | 11 + .../migrations/000003_create_user.down.sql | 9 + backend/migrations/000003_create_user.up.sql | 25 + .../000004_add_metadata_to_thread.down.sql | 2 + .../000004_add_metadata_to_thread.up.sql | 9 + backend/poetry.lock | 4860 ++++++++++++----- backend/pyproject.toml | 5 +- backend/tests/notebooks/dev_tools.ipynb | 346 +- .../tests/notebooks/skillup_tool_dev.ipynb | 0 16 files changed, 3844 insertions(+), 1516 deletions(-) create mode 100644 backend/custom_tools/skillup.py create mode 100644 backend/migrations/000001_create_extensions_and_first_tables.down.sql create mode 100644 backend/migrations/000001_create_extensions_and_first_tables.up.sql create mode 100644 backend/migrations/000002_checkpoints_update_schema.down.sql create mode 100644 backend/migrations/000002_checkpoints_update_schema.up.sql create mode 100644 backend/migrations/000003_create_user.down.sql create mode 100644 backend/migrations/000003_create_user.up.sql create mode 100644 backend/migrations/000004_add_metadata_to_thread.down.sql create mode 100644 backend/migrations/000004_add_metadata_to_thread.up.sql create mode 100644 backend/tests/notebooks/skillup_tool_dev.ipynb diff --git a/backend/app/agent.py b/backend/app/agent.py index f14cb2061..da8045bda 100644 --- a/backend/app/agent.py +++ b/backend/app/agent.py @@ -27,6 +27,7 @@ RETRIEVAL_DESCRIPTION, TOOLS, ActionServer, + AdeptID, Arxiv, AvailableTools, Connery, @@ -42,10 +43,14 @@ YouSearch, get_retrieval_tool, get_retriever, + Skillup, + Skillup_Jobs, + Skillup_Training ) Tool = Union[ ActionServer, + AdeptID, Connery, DDGSearch, Arxiv, @@ -57,6 +62,9 @@ Tavily, TavilyAnswer, Retrieval, + Skillup, + Skillup_Jobs, + Skillup_Training, DallE, ] diff --git a/backend/app/tools.py b/backend/app/tools.py index ac1be960b..24d92f5ff 100644 --- a/backend/app/tools.py +++ b/backend/app/tools.py @@ -60,6 +60,9 @@ class AvailableTools(str, Enum): WIKIPEDIA = "wikipedia" DALL_E = "dall_e" ADEPTID = "adeptid" + SKILLUP = "skillup" + SKILLUP_TRAINING = "skillup_training" + SKILLUP_JOBS = "skillup_jobs" class ToolConfig(TypedDict): @@ -102,7 +105,7 @@ class AdeptID(BaseTool): name: str = Field("AdeptID API", const=True) description: str = Field( ( - "Get personalized career paths and job recommendations from" + "Get personalized career paths and job recommendations from " "[AdeptID](https://adeptid.com)" ), const=True @@ -180,6 +183,36 @@ class Wikipedia(BaseTool): ) +class Skillup(BaseTool): + type: AvailableTools = Field(AvailableTools.SKILLUP, const=True) + name: str = Field("Skillup", const=True) + description: str = Field( + ( + "Searches [Skillup](https://www.skillup.com/)." + "This is a tool for skillup training opportunities and jobs" + ), + const=True) + +class Skillup_Training(BaseTool): + type: AvailableTools = Field(AvailableTools.SKILLUP_TRAINING, const=True) + name: str = Field("Skillup Training", const=True) + description: str = Field( + ( + "Searches [Skillup](https://www.skillup.com/)." + "This is a tool for skillup training opportunities" + ), + const=True) + +class Skillup_Jobs(BaseTool): + type: AvailableTools = Field(AvailableTools.SKILLUP_JOBS, const=True) + name: str = Field("Skillup Jobs", const=True) + description: str = Field( + ( + "Searches [Skillup](https://www.skillup.com/)." + "This is a tool for skillup jobs" + ), + const=True) + class Tavily(BaseTool): type: AvailableTools = Field(AvailableTools.TAVILY, const=True) name: str = Field("Search (Tavily)", const=True) @@ -257,6 +290,10 @@ def _get_you_search(): "Searches for documents using You.com", ) +#add retriever tool for skillup training + +#add retriever tool for skillup jobs + @lru_cache(maxsize=1) def _get_sec_filings(): @@ -334,6 +371,16 @@ def _get_adeptID_tools(**kwargs: ActionServerConfig): tools = toolkit.get_tools() return tools +def _get_skillup_training(): + return create_retriever_tool( + WikipediaRetriever(), "wikipedia", "Search for training and jobs on Wikipedia" + ) + +def _get_skillup_jobs(): + return create_retriever_tool( + WikipediaRetriever(), "wikipedia", "Search for training and jobs on Wikipedia" + ) + TOOLS = { AvailableTools.ACTION_SERVER: _get_action_server, AvailableTools.CONNERY: _get_connery_actions, @@ -348,4 +395,6 @@ def _get_adeptID_tools(**kwargs: ActionServerConfig): AvailableTools.TAVILY_ANSWER: _get_tavily_answer, AvailableTools.DALL_E: _get_dalle_tools, AvailableTools.ADEPTID: _get_adeptID_tools, + AvailableTools.SKILLUP_TRAINING: _get_skillup_training, + AvailableTools.SKILLUP_JOBS: _get_skillup_jobs, } diff --git a/backend/custom_tools/adeptid.py b/backend/custom_tools/adeptid.py index f440cff6a..a1eb5b61f 100644 --- a/backend/custom_tools/adeptid.py +++ b/backend/custom_tools/adeptid.py @@ -4,7 +4,7 @@ from typing import List import os -ADEPT_ID_API_KEY = +ADEPT_ID_API_KEY = os.getenv("ADEPTID_API_KEY") # Define the input schema for the tool class WorkHistory(BaseModel): diff --git a/backend/custom_tools/skillup.py b/backend/custom_tools/skillup.py new file mode 100644 index 000000000..e69de29bb diff --git a/backend/migrations/000001_create_extensions_and_first_tables.down.sql b/backend/migrations/000001_create_extensions_and_first_tables.down.sql new file mode 100644 index 000000000..08c8d5d51 --- /dev/null +++ b/backend/migrations/000001_create_extensions_and_first_tables.down.sql @@ -0,0 +1,3 @@ +DROP TABLE IF EXISTS thread; +DROP TABLE IF EXISTS assistant; +DROP TABLE IF EXISTS checkpoints; diff --git a/backend/migrations/000001_create_extensions_and_first_tables.up.sql b/backend/migrations/000001_create_extensions_and_first_tables.up.sql new file mode 100644 index 000000000..cb395a744 --- /dev/null +++ b/backend/migrations/000001_create_extensions_and_first_tables.up.sql @@ -0,0 +1,24 @@ +CREATE EXTENSION IF NOT EXISTS vector; +CREATE EXTENSION IF NOT EXISTS "uuid-ossp"; + +CREATE TABLE IF NOT EXISTS assistant ( + assistant_id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), + user_id VARCHAR(255) NOT NULL, + name VARCHAR(255) NOT NULL, + config JSON NOT NULL, + updated_at TIMESTAMP WITH TIME ZONE DEFAULT (CURRENT_TIMESTAMP AT TIME ZONE 'UTC'), + public BOOLEAN NOT NULL +); + +CREATE TABLE IF NOT EXISTS thread ( + thread_id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), + assistant_id UUID REFERENCES assistant(assistant_id) ON DELETE SET NULL, + user_id VARCHAR(255) NOT NULL, + name VARCHAR(255) NOT NULL, + updated_at TIMESTAMP WITH TIME ZONE DEFAULT (CURRENT_TIMESTAMP AT TIME ZONE 'UTC') +); + +CREATE TABLE IF NOT EXISTS checkpoints ( + thread_id TEXT PRIMARY KEY, + checkpoint BYTEA +); \ No newline at end of file diff --git a/backend/migrations/000002_checkpoints_update_schema.down.sql b/backend/migrations/000002_checkpoints_update_schema.down.sql new file mode 100644 index 000000000..c8a249eb4 --- /dev/null +++ b/backend/migrations/000002_checkpoints_update_schema.down.sql @@ -0,0 +1,5 @@ +ALTER TABLE checkpoints + DROP CONSTRAINT IF EXISTS checkpoints_pkey, + ADD PRIMARY KEY (thread_id), + DROP COLUMN IF EXISTS thread_ts, + DROP COLUMN IF EXISTS parent_ts; diff --git a/backend/migrations/000002_checkpoints_update_schema.up.sql b/backend/migrations/000002_checkpoints_update_schema.up.sql new file mode 100644 index 000000000..9ddd077f2 --- /dev/null +++ b/backend/migrations/000002_checkpoints_update_schema.up.sql @@ -0,0 +1,11 @@ +ALTER TABLE checkpoints + ADD COLUMN IF NOT EXISTS thread_ts TIMESTAMPTZ, + ADD COLUMN IF NOT EXISTS parent_ts TIMESTAMPTZ; + +UPDATE checkpoints + SET thread_ts = CURRENT_TIMESTAMP AT TIME ZONE 'UTC' +WHERE thread_ts IS NULL; + +ALTER TABLE checkpoints + DROP CONSTRAINT IF EXISTS checkpoints_pkey, + ADD PRIMARY KEY (thread_id, thread_ts) diff --git a/backend/migrations/000003_create_user.down.sql b/backend/migrations/000003_create_user.down.sql new file mode 100644 index 000000000..66c5acadc --- /dev/null +++ b/backend/migrations/000003_create_user.down.sql @@ -0,0 +1,9 @@ +ALTER TABLE assistant + DROP CONSTRAINT fk_assistant_user_id, + ALTER COLUMN user_id TYPE VARCHAR USING (user_id::text); + +ALTER TABLE thread + DROP CONSTRAINT fk_thread_user_id, + ALTER COLUMN user_id TYPE VARCHAR USING (user_id::text); + +DROP TABLE IF EXISTS "user"; \ No newline at end of file diff --git a/backend/migrations/000003_create_user.up.sql b/backend/migrations/000003_create_user.up.sql new file mode 100644 index 000000000..45612f9c1 --- /dev/null +++ b/backend/migrations/000003_create_user.up.sql @@ -0,0 +1,25 @@ +CREATE TABLE IF NOT EXISTS "user" ( + user_id UUID PRIMARY KEY DEFAULT uuid_generate_v4(), + sub VARCHAR(255) UNIQUE NOT NULL, + created_at TIMESTAMP WITH TIME ZONE DEFAULT (CURRENT_TIMESTAMP AT TIME ZONE 'UTC') +); + +INSERT INTO "user" (user_id, sub) +SELECT DISTINCT user_id::uuid, user_id +FROM assistant +WHERE user_id IS NOT NULL +ON CONFLICT (user_id) DO NOTHING; + +INSERT INTO "user" (user_id, sub) +SELECT DISTINCT user_id::uuid, user_id +FROM thread +WHERE user_id IS NOT NULL +ON CONFLICT (user_id) DO NOTHING; + +ALTER TABLE assistant + ALTER COLUMN user_id TYPE UUID USING (user_id::UUID), + ADD CONSTRAINT fk_assistant_user_id FOREIGN KEY (user_id) REFERENCES "user"(user_id); + +ALTER TABLE thread + ALTER COLUMN user_id TYPE UUID USING (user_id::UUID), + ADD CONSTRAINT fk_thread_user_id FOREIGN KEY (user_id) REFERENCES "user"(user_id); \ No newline at end of file diff --git a/backend/migrations/000004_add_metadata_to_thread.down.sql b/backend/migrations/000004_add_metadata_to_thread.down.sql new file mode 100644 index 000000000..106fd0ba9 --- /dev/null +++ b/backend/migrations/000004_add_metadata_to_thread.down.sql @@ -0,0 +1,2 @@ +ALTER TABLE thread +DROP COLUMN metadata; \ No newline at end of file diff --git a/backend/migrations/000004_add_metadata_to_thread.up.sql b/backend/migrations/000004_add_metadata_to_thread.up.sql new file mode 100644 index 000000000..d0394582d --- /dev/null +++ b/backend/migrations/000004_add_metadata_to_thread.up.sql @@ -0,0 +1,9 @@ +ALTER TABLE thread +ADD COLUMN metadata JSONB; + +UPDATE thread +SET metadata = json_build_object( + 'assistant_type', (SELECT config->'configurable'->>'type' + FROM assistant + WHERE assistant.assistant_id = thread.assistant_id) +); \ No newline at end of file diff --git a/backend/poetry.lock b/backend/poetry.lock index 81468c797..395248d25 100644 --- a/backend/poetry.lock +++ b/backend/poetry.lock @@ -1,92 +1,105 @@ # This file is automatically 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"python-docx (==1.1.0)", "typing-extensions (==4.9.0)"] +dropbox = ["certifi (==2024.2.2)", "charset-normalizer (==3.3.2)", "dropbox (==11.36.2)", "dropboxdrivefs (==1.3.1)", "fsspec (==2024.2.0)", "idna (==3.6)", "ply (==3.11)", "requests (==2.31.0)", "six (==1.16.0)", "stone (==3.3.1)", "urllib3 (==1.26.18)"] +elasticsearch = ["certifi (==2024.2.2)", "elastic-transport (==8.12.0)", "elasticsearch (==8.12.0)", "urllib3 (==1.26.18)"] +embed-huggingface = ["aiohttp (==3.9.3)", "aiosignal (==1.3.1)", "anyio (==3.7.1)", "async-timeout (==4.0.3)", "attrs (==23.2.0)", "certifi (==2024.2.2)", "charset-normalizer (==3.3.2)", "click (==8.1.7)", "dataclasses-json (==0.6.4)", "exceptiongroup (==1.2.0)", "filelock (==3.13.1)", "frozenlist (==1.4.1)", "fsspec (==2024.2.0)", "huggingface (==0.0.1)", "huggingface-hub (==0.20.3)", "idna (==3.6)", "jinja2 (==3.1.3)", "joblib (==1.3.2)", "jsonpatch (==1.33)", "jsonpointer (==2.4)", "langchain-community (==0.0.20)", "langchain-core (==0.1.23)", "langsmith (==0.0.87)", "markupsafe (==2.1.5)", "marshmallow (==3.20.2)", "mpmath (==1.3.0)", "multidict (==6.0.5)", "mypy-extensions (==1.0.0)", "networkx (==3.2.1)", "nltk (==3.8.1)", "numpy (==1.26.4)", "packaging (==23.2)", "pillow (==10.2.0)", "pydantic (==1.10.14)", "pyyaml (==6.0.1)", "regex (==2023.12.25)", "requests (==2.31.0)", "safetensors (==0.3.2)", "scikit-learn (==1.4.0)", "scipy (==1.10.1)", "sentence-transformers (==2.3.1)", "sentencepiece (==0.1.99)", "sniffio (==1.3.0)", "sqlalchemy (==2.0.27)", "sympy (==1.12)", "tenacity (==8.2.3)", "threadpoolctl (==3.3.0)", "tokenizers (==0.15.2)", "torch (==2.2.0)", "tqdm (==4.66.2)", "transformers (==4.37.1)", "typing-extensions (==4.9.0)", "typing-inspect (==0.9.0)", "urllib3 (==1.26.18)", "yarl (==1.9.4)"] +epub = ["pypandoc (==1.12)"] +gcs = ["aiohttp (==3.9.3)", "aiosignal (==1.3.1)", "async-timeout (==4.0.3)", "attrs (==23.2.0)", "beautifulsoup4 (==4.12.3)", "bs4 (==0.0.2)", "cachetools (==5.3.2)", "certifi (==2024.2.2)", "charset-normalizer (==3.3.2)", "decorator (==5.1.1)", "frozenlist (==1.4.1)", "fsspec (==2024.2.0)", "gcsfs (==2024.2.0)", "google-api-core (==2.17.1)", "google-auth (==2.28.0)", "google-auth-oauthlib (==1.2.0)", "google-cloud-core (==2.4.1)", "google-cloud-storage (==2.14.0)", "google-crc32c (==1.5.0)", "google-resumable-media (==2.7.0)", "googleapis-common-protos (==1.62.0)", "idna (==3.6)", "multidict (==6.0.5)", "oauthlib (==3.2.2)", "protobuf (==4.23.4)", "pyasn1 (==0.5.1)", "pyasn1-modules (==0.3.0)", "requests (==2.31.0)", "requests-oauthlib (==1.3.1)", "rsa (==4.9)", "soupsieve (==2.5)", "urllib3 (==1.26.18)", "yarl (==1.9.4)"] +github = ["certifi (==2024.2.2)", "cffi (==1.16.0)", "charset-normalizer (==3.3.2)", "cryptography (==42.0.2)", "deprecated (==1.2.14)", "idna (==3.6)", "pycparser (==2.21)", "pygithub (==2.2.0)", "pyjwt[crypto] (==2.8.0)", "pynacl (==1.5.0)", "requests (==2.31.0)", "typing-extensions (==4.9.0)", "urllib3 (==1.26.18)", "wrapt (==1.16.0)"] +gitlab = 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"kiwisolver (==1.4.5)", "layoutparser[layoutmodels,tesseract] (==0.3.4)", "lxml (==5.1.0)", "markupsafe (==2.1.5)", "matplotlib (==3.7.2)", "mpmath (==1.3.0)", "networkx (==3.2.1)", "numpy (==1.26.4)", "omegaconf (==2.3.0)", "onnx (==1.15.0)", "onnxruntime (==1.15.1)", "opencv-python (==4.8.0.76)", "packaging (==23.2)", "pandas (==2.2.0)", "pdf2image (==1.17.0)", "pdfminer-six (==20221105)", "pdfplumber (==0.10.4)", "pikepdf (==8.11.0)", "pillow (==10.2.0)", "pillow-heif (==0.15.0)", "portalocker (==2.8.2)", "protobuf (==4.23.4)", "pycocotools (==2.0.7)", "pycparser (==2.21)", "pyparsing (==3.0.9)", "pypdf (==4.0.1)", "pypdfium2 (==4.27.0)", "pytesseract (==0.3.10)", "python-dateutil (==2.8.2)", "python-multipart (==0.0.9)", "pytz (==2024.1)", "pyyaml (==6.0.1)", "rapidfuzz (==3.6.1)", "regex (==2023.12.25)", "requests (==2.31.0)", "safetensors (==0.3.2)", "scipy (==1.10.1)", "six (==1.16.0)", "sympy (==1.12)", "timm (==0.9.12)", "tokenizers (==0.15.2)", "torch (==2.2.0)", "torchvision (==0.17.0)", "tqdm (==4.66.2)", "transformers (==4.37.1)", "typing-extensions (==4.9.0)", "tzdata (==2024.1)", "unstructured-inference (==0.7.23)", "unstructured-pytesseract (==0.3.12)", "urllib3 (==1.26.18)", "wrapt (==1.16.0)", "zipp (==3.17.0)"] +jira = ["atlassian-python-api (==3.41.10)", "beautifulsoup4 (==4.12.3)", "certifi (==2024.2.2)", "charset-normalizer (==3.3.2)", "deprecated (==1.2.14)", "idna (==3.6)", "jmespath (==1.0.1)", "oauthlib (==3.2.2)", "requests (==2.31.0)", "requests-oauthlib (==1.3.1)", "six (==1.16.0)", "soupsieve (==2.5)", "urllib3 (==1.26.18)", "wrapt (==1.16.0)"] +local-inference = ["antlr4-python3-runtime (==4.9.3)", "certifi (==2024.2.2)", "cffi (==1.16.0)", "charset-normalizer (==3.3.2)", "coloredlogs (==15.0.1)", "contourpy (==1.2.0)", "cryptography (==42.0.2)", "cycler (==0.12.1)", "deprecated (==1.2.14)", "effdet (==0.4.1)", "et-xmlfile (==1.1.0)", "filelock (==3.13.1)", "flatbuffers (==23.5.26)", "fonttools (==4.49.0)", "fsspec (==2024.2.0)", "huggingface-hub (==0.20.3)", "humanfriendly (==10.0)", "idna (==3.6)", "importlib-metadata (==7.0.1)", "importlib-resources (==6.1.1)", "iopath (==0.1.10)", "jinja2 (==3.1.3)", "kiwisolver (==1.4.5)", "layoutparser[layoutmodels,tesseract] (==0.3.4)", "lxml (==5.1.0)", "markdown (==3.5.2)", "markupsafe (==2.1.5)", "matplotlib (==3.7.2)", "mpmath (==1.3.0)", "msg-parser (==1.2.0)", "networkx (==3.2.1)", "numpy (==1.26.4)", "olefile (==0.47)", "omegaconf (==2.3.0)", "onnx (==1.15.0)", "onnxruntime (==1.15.1)", "opencv-python (==4.8.0.76)", "openpyxl (==3.1.2)", "packaging (==23.2)", "pandas (==2.2.0)", "pdf2image (==1.17.0)", "pdfminer-six (==20221105)", "pdfplumber (==0.10.4)", "pikepdf (==8.11.0)", "pillow (==10.2.0)", "pillow-heif (==0.15.0)", "portalocker (==2.8.2)", "protobuf (==4.23.4)", "pycocotools (==2.0.7)", "pycparser (==2.21)", "pypandoc (==1.12)", "pyparsing (==3.0.9)", "pypdf (==4.0.1)", "pypdfium2 (==4.27.0)", "pytesseract (==0.3.10)", "python-dateutil (==2.8.2)", 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(>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] + [metadata] lock-version = "2.0" python-versions = "^3.9.0,<3.12" -content-hash = "900d6fcec5b7e7be2f1583d662d45737ac15f6fd7b1de83455edfc24cc61cfbd" +content-hash = "515e634f516005b531147a125fd22636b4cccf99b5a740e8c908debca010a712" diff --git a/backend/pyproject.toml b/backend/pyproject.toml index c178320a3..4948e8d27 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -4,7 +4,9 @@ version = "0.1.0" description = "" authors = ["Matt Gee "] readme = "README.md" -packages = [{include = "app"}] +packages = [ + {include = "backend"} + ] [tool.poetry.dependencies] python = "^3.9.0,<3.12" @@ -48,6 +50,7 @@ pulumi = "^3.117.0" pulumi-aws = "^6.37.1" pulumi-docker = "^4.5.4" python-dotenv = "^1.0.1" +jupyter = "^1.0.0" [tool.poetry.group.dev.dependencies] uvicorn = "^0.23.2" diff --git a/backend/tests/notebooks/dev_tools.ipynb b/backend/tests/notebooks/dev_tools.ipynb index 458205211..20977f937 100644 --- a/backend/tests/notebooks/dev_tools.ipynb +++ b/backend/tests/notebooks/dev_tools.ipynb @@ -2,30 +2,81 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 151, "metadata": {}, "outputs": [ { - "ename": "", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001b[1;31mRunning cells with 'opengpts-py3.10 (Python 3.10.9)' requires the ipykernel package.\n", - "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n", - "\u001b[1;31mCommand: '/Users/mattgee/brighthive/opengpts/opengpts-py3.10/bin/python -m pip install ipykernel -U --force-reinstall'" + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" ] } ], "source": [ - "from opengpts.backend.custom_tools import adeptid as aid" + "%load_ext autoreload\n", + "%autoreload 2\n", + "\n", + "from langchain.tools import BaseTool\n", + "import requests\n", + "from pydantic import BaseModel, Field\n", + "from typing import List, Optional\n", + "import os\n", + "import json\n", + "\n", + "#from backend.custom_tools import adeptid as aid" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 152, "metadata": {}, "outputs": [], "source": [ + "\n", + "ADEPT_ID_API_KEY = os.getenv(\"ADEPTID_API_KEY\")\n", + "\n", + "degree_type = [\n", + " \"DOCTORATE\",\n", + " \"MASTERS\",\n", + " \"BACHELORS\",\n", + " \"ASSOCIATES\",\n", + " \"HIGH_SCHOOL\",\n", + " \"CERTIFICATE\"\n", + "]\n", + "\n", + "# Define the input schema for the tool\n", + "class WorkHistory(BaseModel):\n", + " title: str\n", + " start_date: Optional[str]\n", + " end_date: Optional[str]\n", + "\n", + "class CandidateEducation(BaseModel):\n", + " level: str #this is an enum, must come from list \n", + " subject: Optional[str]\n", + " start_date: Optional[str] #think about adding data validation as MM/YYYY\n", + " end_date: Optional[str] #think about adding data validation as MM/YYYY, must be > start_date\n", + " institution: Optional[str]\n", + " gpa: Optional[float]\n", + " summary: Optional[str]\n", + "\n", + "class Candidate(BaseModel):\n", + " id: str\n", + " work_history: List[WorkHistory]\n", + " #education: Optional[List[CandidateEducation]]\n", + " skills: Optional[List[str]]\n", + "\n", + "#TODO define job object\n", + "class Job(BaseModel):\n", + " title: str\n", + " id: str #this has to be unique\n", + " naics: Optional[str]\n", + " employer_name: Optional[str]\n", + " skills: Optional[List[str]]\n", + " #education: str #TODO: define education object\n", + " \n", + "\n", "class AdeptIDSkillSearchInput(BaseModel):\n", " skills: List[str]\n", " result_count: int = 1\n", @@ -37,36 +88,149 @@ " offset: int = 1\n", "\n", "class AdeptIDJobRecommendationInput(BaseModel):\n", - " skill_count: int = 0\n", + " #skill_count: int = 0\n", " destination_jobs: List[str]\n", " limit: int = 1000\n", - " offset: int = 0" + " offset: int = 0\n", + "\n", + "\n", + "class AdeptIDEvaluateJobsInput(BaseModel):\n", + " skill_count: int = 1\n", + " destination_jobs: List[Job]\n", + " candidate: Candidate" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 153, + "metadata": {}, + "outputs": [], + "source": [ + "class AdeptIDSkillSearch(BaseTool):\n", + " name = \"AdeptIDSkillSearch\"\n", + " description = \"Searches for skills and returns the top results.\"\n", + "\n", + " input = AdeptIDSkillSearchInput\n", + "\n", + " def _run(self, **kwargs):\n", + " url = \"https://api.adept-id.com/v2/skill\"\n", + " api_key = ADEPT_ID_API_KEY\n", + " headers = {\n", + " \"X-API-KEY\": f\"{api_key}\"\n", + " }\n", + " payload = input.json()\n", + " #TODO: check whether this is GET or POST\n", + " response = requests.post(url, headers=headers, data=payload)\n", + "\n", + " if response.status_code == 200:\n", + " return response.json()\n", + " else:\n", + " return {\"error\": response.json()}\n", + "\n", + "class AdeptIDDestinationOccupationRecommendation(BaseTool):\n", + " name = \"AdeptIDDestinationOccupationRecommendation\"\n", + " description = \"Recommends occupations and career paths to a candidate based on their skills and interests.\"\n", + "\n", + " input = AdeptIDDestionationOccupationRecommendationInput\n", + "\n", + " def _run(self, **kwargs):\n", + " url = \"https://api.adept-id.com/v2/recommend-destination-occupation\"\n", + " api_key = ADEPT_ID_API_KEY\n", + " headers = {\n", + " \"X-API-KEY\": f\"{api_key}\"\n", + " }\n", + " payload = json.loads(json.dumps(kwargs))\n", + "\n", + " response = requests.post(url, headers=headers, data=payload)\n", + "\n", + " if response.status_code == 200:\n", + " return response.json()\n", + " else:\n", + " return {\"error\": response.json()}\n", + "\n", + "# Define the tool class\n", + "class AdeptIDJobRecommendation(BaseTool):\n", + " name = \"AdeptIDJobRecommendation\"\n", + " description = \"Recommends specific jobs for a candidate based on their destination occupation and skills.\"\n", + "\n", + " input = AdeptIDEvaluateJobsInput\n", + "\n", + " def _run(self, **kwargs):\n", + " url = \"https://api.adept-id.com/v2/evaluate-jobs\"\n", + " api_key = ADEPT_ID_API_KEY\n", + " headers = {\n", + " \"X-API-KEY\": f\"{api_key}\"\n", + " }\n", + " #payload = input.json()\n", + " #payload = kwargs\n", + " payload = json.loads(json.dumps(kwargs))\n", + " print(payload)\n", + "\n", + " response = requests.post(url, headers=headers, json=payload)\n", + " print(response.json())\n", + " \n", + " if response.status_code == 200:\n", + " return response.json()\n", + " else:\n", + " return {\"error\": response.json()}\n" + ] + }, + { + "cell_type": "code", + "execution_count": 154, "metadata": {}, "outputs": [], "source": [ - "#inputs\n", + "import copy\n", + "def remove_none_types(candidate_object):\n", + " candidate_object_no_none = copy.deepcopy(candidate_object)\n", + " \n", + " def remove_none_types_recursive(candidate_object_no_none):\n", + " keys_to_remove = []\n", + " for key, value in candidate_object_no_none.items():\n", + " if value is None:\n", + " keys_to_remove.append(key)\n", + " elif isinstance(value, dict):\n", + " remove_none_types_recursive(value)\n", + " elif isinstance(value, list):\n", + " for item in value:\n", + " if isinstance(item, dict):\n", + " remove_none_types_recursive(item)\n", + "\n", + " for key in keys_to_remove:\n", + " del candidate_object_no_none[key]\n", + "\n", + " return candidate_object_no_none\n", + "\n", + " candidate_object_no_none = remove_none_types_recursive(candidate_object_no_none)\n", + " \n", + " return candidate_object_no_none" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "metadata": {}, + "outputs": [], + "source": [ + "#test inputs\n", "\n", "skills_data = [\"carpentry\", \"communication\", \"cooking\", \"python\"]\n", "\n", - "job_data = aid.AdeptIDJobRecommendationInput(\n", + "job_data = AdeptIDJobRecommendationInput(\n", " destination_jobs = [\"Carpenter\", \"Computer programmer\"],\n", ")\n", "\n", - "occupation_data = aid.AdeptIDDestionationOccupationRecommendationInput(\n", + "occupation_data = AdeptIDDestionationOccupationRecommendationInput(\n", " candidates=[\n", - " aid.Candidate(\n", + " Candidate(\n", " id=\"Piya Gupta\",\n", " work_history=[\n", - " aid.WorkHistory(title=\"Retail Sales Associate\", start_date=\"12/2019\", end_date=\"4/2022\"),\n", - " aid.WorkHistory(title=\"Graphic Designer\", start_date=\"5/2022\", end_date=\"4/2024\")\n", + " WorkHistory(title=\"Retail Sales Associate\", start_date=\"12/2019\", end_date=\"4/2022\"),\n", + " WorkHistory(title=\"Graphic Designer\", start_date=\"5/2022\", end_date=\"4/2024\")\n", " ],\n", " education=[\n", - " aid.Education(\n", + " Education(\n", " level=\"ASSOCIATES\", degree_type=\"ASSOCIATE OF ARTS\", subject=\"Business\",\n", " start_date=\"09/2020\", end_date=\"06/2022\",\n", " institution=\"Northern Virgina Community College\", gpa=3.5,\n", @@ -81,22 +245,144 @@ " skill_count=5\n", " )\n", "\n", - "skills_data = aid.AdeptIDSkillSearchInput(\n", - "\n", + "skills_data = AdeptIDSkillSearchInput(\n", + " skills=skills_data\n", ")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 156, "metadata": {}, "outputs": [], "source": [ - "skill = aid.AdeptIDSkillSearch()\n", - "occupation = aid.AdeptIDDestinationOccupationRecommendation() \n", - "job = aid.AdeptIDJobRecommendation()" + "skill_search = AdeptIDSkillSearch()\n", + "occupation_recommendation = AdeptIDDestinationOccupationRecommendation() \n", + "job_recommendation = AdeptIDJobRecommendation()" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "metadata": {}, + "outputs": [], + "source": [ + " \n", + "# Example input\n", + "input_data1 = AdeptIDJobRecommendationInput(\n", + " destination_jobs=[\"Carpenter\", \"Computer programmer\"], # Add this line\n", + " candidates=[\n", + " Candidate(\n", + " id=\"Piya Gupta\",\n", + " work_history=[\n", + " WorkHistory(title=\"Retail Sales Associate\", start_date=\"12/2019\", end_date=\"4/2022\"),\n", + " WorkHistory(title=\"Graphic Designer\", start_date=\"5/2022\", end_date=\"4/2024\")\n", + " ],\n", + " education=[\n", + " Education(\n", + " level=\"ASSOCIATES\", degree_type=\"ASSOCIATE OF ARTS\", subject=\"Business\",\n", + " start_date=\"09/2020\", end_date=\"06/2022\",\n", + " institution=\"Northern Virgina Community College\", gpa=3.5,\n", + " summary=\"Completed Associate's in Business with a concentration in marketing and high honors graduation\"\n", + " )\n", + " ],\n", + " skills=[\"Graphic Design\", \"Adobe Photoshop\", \"Illustration\", \"Marketing\", \"Logo Design\", \"Merchandising\", \"Writing\"]\n", + " )\n", + " ],\n", + " limit=10,\n", + " offset=1,\n", + " skill_count=5\n", + ")\n", + "\n", + "input_data2 = AdeptIDJobRecommendationInput(\n", + " destination_jobs=[\"Carpenter\", \"Computer programmer\"],\n", + " limit=10,\n", + " offset=1\n", + ")\n", + "\n", + "input_data3 = AdeptIDEvaluateJobsInput(\n", + " destination_jobs=[Job(title=\"Carpenter\", id=\"123\", employer_name=\"ABC Corp\", skills=[\"Carpentry\", \"CAD\", \"CAM\"])],\n", + " candidate=Candidate(id=\"Piya Gupta\", work_history=[WorkHistory(title=\"Chief Data Nerd\", start_date=\"12/2019\", end_date=\"4/2022\")], skills=[\"Graphic Design\", \"Adobe Photoshop\", \"Illustration\", \"Marketing\", \"Logo Design\", \"Merchandising\", \"Writing\"])\n", + ")\n", + "\n", + "input_data4 = AdeptIDEvaluateJobsInput(\n", + " destination_jobs=[Job(title=\"Carpenter\", id=\"123\", employer_name=\"ABC Corp\", skills=[\"Carpentry\", \"CAD\", \"CAM\"])],\n", + " candidate=Candidate(id=\"Piya Gupta\",education=[CandidateEducation(level=\"ASSOCIATES\", degree_type=\"ASSOCIATE OF ARTS\", subject=\"Business\", start_date=\"09/2020\", end_date=\"06/2022\", institution=\"Northern Virgina Community College\", gpa=3.5, summary=\"Completed Associate's in Business with a concentration in marketing and high honors graduation\")], work_history=[WorkHistory(title=\"Chief Data Nerd\", start_date=\"12/2019\", end_date=\"4/2022\")], skills=[\"Graphic Design\", \"Adobe Photoshop\", \"Illustration\", \"Marketing\", \"Logo Design\", \"Merchandising\", \"Writing\"])\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 158, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'skill_count': 1, 'destination_jobs': [{'title': 'Carpenter', 'id': '123', 'employer_name': 'ABC Corp', 'skills': ['Carpentry', 'CAD', 'CAM']}], 'candidate': {'id': 'Piya Gupta', 'work_history': [{'title': 'Chief Data Nerd', 'start_date': '12/2019', 'end_date': '4/2022'}], 'skills': ['Graphic Design', 'Adobe Photoshop', 'Illustration', 'Marketing', 'Logo Design', 'Merchandising', 'Writing']}}\n", + "{'classifications': {'Carpenter': {'code': '47-2031.00', 'common_name': 'Carpenters', 'common_name_singular': 'Carpenter', 'name': 'Carpenters'}, 'Chief Data Nerd': {'code': '15-2051.00', 'common_name': 'Data Scientists', 'common_name_singular': 'Data Scientist', 'name': 'Data Scientists'}}, 'jobs_scores': {'123': {'match_score': 0.23180915415287018, 'match_score_category': 'Low', 'skills': {'gaps': [{'category': 'Very Large', 'name': 'Carpentry', 'skill_category': 'Carpentry', 'skill_type': 'Specialized Skill', 'value': 1.0}], 'overlaps': [{'category': 'Very Large', 'name': 'Communications', 'skill_category': 'Communication', 'skill_type': 'Baseline Skill', 'value': 1.0}]}}}, 'unknown_skills': ['cad', 'cam'], 'operation_id': '405230f49d2e4638b531a545103c56d9'}\n" + ] + } + ], + "source": [ + "# Test Job Recommendation\n", + "tool = AdeptIDJobRecommendation()\n", + "#input_data_dict = json.dumps(input_data3.dict())\n", + "\n", + "input_data_dict = input_data3.dict()\n", + "input_data_dict = remove_none_types(input_data_dict)\n", + "result = tool.run(tool_input=input_data_dict)" + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'classifications': {'Carpenter': {'code': '47-2031.00',\n", + " 'common_name': 'Carpenters',\n", + " 'common_name_singular': 'Carpenter',\n", + " 'name': 'Carpenters'},\n", + " 'Chief Data Nerd': {'code': '15-2051.00',\n", + " 'common_name': 'Data Scientists',\n", + " 'common_name_singular': 'Data Scientist',\n", + " 'name': 'Data Scientists'}},\n", + " 'jobs_scores': {'123': {'match_score': 0.23180915415287018,\n", + " 'match_score_category': 'Low',\n", + " 'skills': {'gaps': [{'category': 'Very Large',\n", + " 'name': 'Carpentry',\n", + " 'skill_category': 'Carpentry',\n", + " 'skill_type': 'Specialized Skill',\n", + " 'value': 1.0}],\n", + " 'overlaps': [{'category': 'Very Large',\n", + " 'name': 'Communications',\n", + " 'skill_category': 'Communication',\n", + " 'skill_type': 'Baseline Skill',\n", + " 'value': 1.0}]}}},\n", + " 'unknown_skills': ['cad', 'cam'],\n", + " 'operation_id': '405230f49d2e4638b531a545103c56d9'}" + ] + }, + "execution_count": 159, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, @@ -112,7 +398,15 @@ "name": "python3" }, "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", "version": "3.10.9" } }, diff --git a/backend/tests/notebooks/skillup_tool_dev.ipynb b/backend/tests/notebooks/skillup_tool_dev.ipynb new file mode 100644 index 000000000..e69de29bb