diff --git a/README.md b/README.md index b24845d5..81f92cff 100755 --- a/README.md +++ b/README.md @@ -46,6 +46,10 @@ The API server provides a way for clients to interact with the GHOSTS system and - Get/manage information from clients regarding their previous or current activities, etc. - Orchestrate new activities for particular clients to perform +### [Ghosts UI](src/ghosts.ui/README.md) + +The web server provides a way for administrators to interact with the GHOSTS system and its clients. + ### [Ghosts Lite](src/Ghosts.Client.Lite/) A resource light version of the Windows GHOSTS client that can be run on minimal hardware. diff --git a/docs/assets/screens/ui/machine-groups.png b/docs/assets/screens/ui/machine-groups.png new file mode 100644 index 00000000..30fb44a6 Binary files /dev/null and b/docs/assets/screens/ui/machine-groups.png differ diff --git a/docs/assets/screens/ui/machines.png b/docs/assets/screens/ui/machines.png new file mode 100644 index 00000000..39d6e410 Binary files /dev/null and b/docs/assets/screens/ui/machines.png differ diff --git a/docs/assets/screens/ui/npcs.png b/docs/assets/screens/ui/npcs.png new file mode 100644 index 00000000..71a20e46 Binary files /dev/null and b/docs/assets/screens/ui/npcs.png differ diff --git a/docs/assets/screens/ui/timelines.png b/docs/assets/screens/ui/timelines.png new file mode 100644 index 00000000..4e2afe98 Binary files /dev/null and b/docs/assets/screens/ui/timelines.png differ diff --git a/docs/core/lite.md b/docs/core/lite.md new file mode 100644 index 00000000..e33ca1ec --- /dev/null +++ b/docs/core/lite.md @@ -0,0 +1,36 @@ +# GHOSTS LITE + +Generate web requests and file creation activity with minimal resources (good for when participants lack host access). + +## Overview + +### What is GHOSTS LITE? +GHOSTS LITE is a streamlined version of the GHOSTS framework, designed to simulate realistic network activity without the overhead of running actual applications. It programmatically generates web browsing traffic and file creation, emulating real-user actions without launching resource-intensive applications. + +### Purpose +GHOSTS LITE was created to provide an efficient tool for simulating network activity. If you don't give participants access to the host, there is perhaps no need to launch applications like web browsers or office suites — so, GHOSTS LITE reduces resource consumption, including CPU, storage, and memory, simplifying the simulation process and requiring less resources to run. + +### Objectives +- Efficiency: Minimize the resources required to simulate user activity on a network. +- Simplicity: Simplify installation and configuration compared to the full GHOSTS framework. +- Realism: Preserve the ability to generate realistic network activity. + +## Installation + +### Prerequisites +- Ensure you have the .NET framework installed on your system. + +### Download and install ghosts-lite + +1. **Download the latest release** +2. **Extract the downloaded archive** to a directory of your choice. +3. **Open terminal** and navigate to the directory where you extracted ghosts-lite +4. **Run the following command** to start the program: +```bash +dotnet Ghosts.Client.Lite.dll +``` + +## Troubleshooting + +- Ensure the .NET framework is installed with version 8.0 or later. +- If you're experiencing any problems please submit an issue or start a discussion. diff --git a/docs/core/ui.md b/docs/core/ui.md new file mode 100644 index 00000000..2c64d4e6 --- /dev/null +++ b/docs/core/ui.md @@ -0,0 +1,100 @@ +# GHOSTS UI + +A UI for the GHOSTS API, providing interfaces for: + +- Viewing and managing machines and machine groups controlled by the GHOSTS API +- Creating and managing timeLines that we can then send to machines or machine groups +- Viewer for Npcs + +For any machine or machine group, we can use the UI to deploy new timelines, or view activities. For machine groups, we can create or manage the machines in the group. For timelines, we can view the activities in the timeline, or deploy new activities. It also provides a management interface for timelines as well. + +## Install + +The easiest way to run the GHOSTS UI is to use Docker. The following is an example we would add to the ghosts `docker-compose.yml` file that will run the GHOSTS UI and the GHOSTS API together: + +```yaml +ghostsui: + image: dustinupdyke/ghosts-ui + container_name: ghosts-ui + ports: + - '8080:8080' + networks: + - ghosts-network + environment: + GHOSTS_API_URL: http://ghosts-api:5000 +``` + +## Functions + +This first screen is part of the user interface for managing machines within a network simulation or exercise environment, likely related to the GHOSTS framework or a similar system. + +### Machines + +![Machines](../../assets/screens/ui/machines.png) + +Here's an explanation of the various elements seen here: + +New Machine Button: This button allows you to create or add a new machine to the simulation environment. + +Search raw JSON: This input field allows you to perform a search within the machine data using raw JSON queries. It provides a more advanced way to filter or find specific data points. + +Machine List: + +- Id: This column displays the unique identifier for each machine. +- Name: This column displays the name of the machine. In this case, it is labeled as string, which might be a placeholder or default value. +- Status: This column shows the current status of the machine. The status Down indicates that the machine is not currently active or reachable. + +There are also functions to delete the machine, run a particular timeline on that machine, view its activity, or view its JSON representation. + +### Machine Groups + +![Machine Groups](../../assets/screens/ui/machine-groups.png) + +New Machine Group Button: This button allows you to create or add a new machine group to the simulation environment. Machine groups can be used to collectively manage multiple machines with similar roles or functions. + +Machine Group List: + +- Id: This column displays the unique identifier for each machine group. + +- Name: This column displays the name of the machine group. In this case, it is labeled as string-*, which might be a placeholder or default value, suggesting it is a pattern-based naming convention. + +- View Machines (0): This button opens a view to see all the machines currently in this group. The number in parentheses indicates that there are currently no machines in this group. + +- Add Machines (1): This button allows you to add machines to the group. The number in parentheses suggests that there is one machine that could be added or is pending addition to this group. + +More (Three-dot Menu): This button likely provides additional options such as deleting a grouping, running a timeline on a group of machines, viewing their activity or JSON representation. + +### Timelines + +![Timelines](../../assets/screens/ui/timelines.png) + +This screen is part of the user interface for managing timelines within a network simulation or exercise environment. + +- Name: This column displays the name of each timeline. In the example shown, the timeline is named baseline win workstation timeline, which suggests it is a baseline or standard sequence of events for a Windows workstation. + +- Timeline Handlers: This column shows the handler or the specific application/component associated with executing the timeline. In this case, the handler is BrowserFirefox, indicating that this timeline is likely related to actions performed in the Firefox browser. + +Actions (Three-dot Menu): This button provides access to deleting or editing a timeline, or viewing its JSON representation. + + +### NPCs + +![NPCs](../../assets/screens/ui/npcs.png) + +This screen is part of the user interface for managing NPCs (Non-Player Characters) within a network simulation or exercise environment. + +Generate Random NPCs Button: This button allows you to generate NPCs automatically with random attributes. This can be useful for populating the environment quickly with varied NPCs. + +NPC List: + +- Id: This column displays the unique identifier for each NPC. The IDs are represented as UUIDs, which ensure that each NPC has a distinct identifier within the system. + +- First Name: This column shows the first name of the NPC. In this case, the NPCs listed have names like Richard, Collie, Ferdinande, Moyra, and Emylee. + +- Machine: This column likely shows the machine or environment to which the NPC is assigned. This association would define where or how the NPC interacts within the simulation. + +- Campaign: This column indicates the campaign or scenario in which the NPC is participating. All NPCs listed are part of Exercise Season 2024, suggesting they are involved in the same simulation or training exercise. + +- Enclave: This column shows the organization or unit to which the NPC belongs. In this case, all NPCs are part of Brigade Abbott Inc and Sons. + +- Team: This column indicates the specific team within the enclave to which the NPC belongs. All NPCs listed are part of the Engineering team, which might define their role or tasks within the simulation. diff --git a/docs/new.md b/docs/new.md index c8621929..c4d958b7 100644 --- a/docs/new.md +++ b/docs/new.md @@ -3,7 +3,28 @@ ???+ info "Welcome to GHOSTS" Welcome to what's new in the GHOSTS framework. Use this page to review the latest changes. -## Enhancements: +## What's new in 8.2 + +- [GHOSTS now has a UI](core/ui.md)! Manage machines and machine groups, deploy new timelines, and view activities. 😍 +- [GHOSTS Shadows](shadows/index.md) provides integrations with an LLM for the purposes of GHOSTS agents. It provides multiple models for activities, chat, content, social, and whatever else you may need. 👻 +- [GHOSTS LITE](core/lite.md) is a stripped-down version of GHOSTS that is designed to be more lightweight and require less resources to run certain activities in training, exercises, and simulations. 👀 +- Fixes #385 default guid 00000000-0000-0000-0000-000000000000 animator NPC bug. 🐛 +- Fixes #384 client path bug. 🐛 +- Fixes animation cancellation token bugs (chat). 🐛 +- Updated documentation for Animations (Thank you to the SEI's TMR team). 🤙 + +## What's new in 8.1 + +- GHOSTS LITE BETA - when you want to conserve resources needed and participants won't access that machine directly. +- API clean up, particularly machine updates and groups. +- Made sample json objects easier to understand and submit the swagger generated defaults +- API robustness +- MachineGroups cleanup +- Timeline delivery by machine and by group + +## What's new in 8.0 + +### Enhancements: - ANIMATOR and SPECTRE functionality merged into the GHOSTS API proper. Those projects are now archived. 📁 - We have moved off mongo — all that data is now stored in Postgres ❤️. @@ -16,7 +37,7 @@ - API endpoints have been re-organized in a more logical fashion. 🗂️ - Added a favicon. 💅 -## Bug Fixes: +### Bug Fixes: - Updates Grafana docker compose to not use root. 🚫👤 - Cleans up containers and ensures all are amd64 (not arm!). 💻 diff --git a/docs/shadows/index.md b/docs/shadows/index.md new file mode 100644 index 00000000..d0803e1d --- /dev/null +++ b/docs/shadows/index.md @@ -0,0 +1,67 @@ +# GHOSTS SHADOWS + +Shadows provides access to a locally-hosted LLM for various GHOSTS agent purposes. + +It provides multiple interfaces: + +- A REST API for the purposes of ghosts agents +- A UI web interface for testing and demo purposes + +The default API endpoints are: + +- **Activities**: Answers the question of "what should an NPC do next?" +- **Chat**: Provides content for an NPC to chat with a player or other NPC +- **Content**: Provides a richer array of content for the docuements created by NPCs in a range +- **Social**: Provides content for an NPC to post on a social media system such as GHOSTS Socializer + +We suspect there will be many more in the future. + +## Running via Docker + +Typically, the easiest way to manage deployment is to pass the env var "GHOSTS_OLLAMA_URL" into the container. + + EXPORT GHOSTS_OLLAMA_URL=http://localhost:11434 + +(where 5900 is the api port and 7860 is the ui port) +`docker run -d --name shadows -p 5900:5900 -p 7860:7860 dustinupdyke/ghosts-shadows` + +## Running on bare metal + +Standing up the Shadows stack is currently (you'll need three terminal windows. We'll clean this up eventually): + +Get Ollama up and running: + +```bash +cd content-models/content +ollama create content +ollama run content +``` +Now run the two servers (in separate terminals): + +```bash +python api.py +python ui.py +``` + +Eventually ollama will serve multiple models all the time. + +So, this loop for ["content", "social", "chat", "activities"] will be: + +```bash +cd content-models/activities +ollama create activities + +cd content-models/chat +ollama create chat + +cd content-models/social +ollama create social + +ollama serve +``` + +If you want this to be available beyond localhost, you'd need to run: + + OLLAMA_HOST=0.0.0.0:11434 ollama serve + +Now ollama is running all four models concurrently. The API server provides access into each. diff --git a/mkdocs.yml b/mkdocs.yml index 965daefb..d897824a 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -67,6 +67,7 @@ nav: - Quick Start: quickstart.md - Client: - core/client.md + - core/lite.md - Client Handlers: - Basic Configuration: core/handlers.md - Clicks: core/handlers/clicks.md @@ -95,6 +96,8 @@ nav: - Capabilities: - Managing Timelines: core/api/timelines.md - Grafana: core/grafana.md + - UI: + - core/ui.md - Animations: - animator/index.md - Animation Jobs: animator/jobs.md @@ -103,6 +106,8 @@ nav: - content/index.md - Pandora: content/pandora.md - Pandora Social: content/social.md + - Shadows LLM API: + - shadows/index.md - Advanced: - advanced/index.md - Cyclone: advanced/cyclone.md diff --git a/src/Ghosts.Api/docker-compose.yml b/src/Ghosts.Api/docker-compose.yml index c98f6dee..198aa8c3 100644 --- a/src/Ghosts.Api/docker-compose.yml +++ b/src/Ghosts.Api/docker-compose.yml @@ -6,6 +6,15 @@ networks: ghosts-network: driver: bridge services: + ghostsui: + image: dustinupdyke/ghosts-ui + container_name: ghosts-ui + ports: + - '8080:8080' + networks: + - ghosts-network + environment: + GHOSTS_API_URL: http://ghosts-api:5000 postgres: image: postgres container_name: ghosts-postgres diff --git a/src/Ghosts.Client.Lite/README.md b/src/Ghosts.Client.Lite/README.md index 69f81941..ce25dd50 100644 --- a/src/Ghosts.Client.Lite/README.md +++ b/src/Ghosts.Client.Lite/README.md @@ -1,23 +1,19 @@ # GHOSTS LITE -## Background +Generate web requests and file creation activity with minimal resources (good for when participants lack host access). -### What is this? -GHOSTS LITE is a streamlined version of the GHOSTS framework designed to simulate realistic -network without the expense of running actual applications. It generates web browsing traffic -and file creation programatically and is configured to be similar to real-user actions. +## Overview -### Why did we build this? -We built ghosts-lite to provide a more efficient tool for simulating network activity. By -avoiding the need to launch applications like web browsers or office suites, ghosts-lite is -able to reduce the resource consumption and complexity of the simulation, resulting in saving -CPU, storage space, and other memory resources. +### What is GHOSTS LITE? +GHOSTS LITE is a streamlined version of the GHOSTS framework, designed to simulate realistic network activity without the overhead of running actual applications. It programmatically generates web browsing traffic and file creation, emulating real-user actions without launching resource-intensive applications. -### What were the goals? +### Purpose +GHOSTS LITE was created to provide an efficient tool for simulating network activity. If you don't give participants access to the host, there is perhaps no need to launch applications like web browsers or office suites — so, GHOSTS LITE reduces resource consumption, including CPU, storage, and memory, simplifying the simulation process and requiring less resources to run. -- **Efficiency:** Reduce the resources required to simualte user activity on a network. -- **Simplicity:** Simplify installation and configuration compared to the full GHOSTS framework -- **Realism:** Maintain the ability to generate realistic network activity. +### Objectives +- Efficiency: Minimize the resources required to simulate user activity on a network. +- Simplicity: Simplify installation and configuration compared to the full GHOSTS framework. +- Realism: Preserve the ability to generate realistic network activity. ## Installation @@ -35,6 +31,16 @@ CPU, storage space, and other memory resources. - Ensure the .NET framework is installed with version 8.0 or later. - If you're experiencing any problems please submit an issue or start a discussion. +## Contributing + +We welcome contributions! Please follow these steps to contribute to GHOSTS LITE: + +- Fork the repository. +- Create a new branch (git checkout -b feature-branch). +- Make your changes and commit them (git commit -m 'Add feature'). +- Push to the branch (git push origin feature-branch). +- Open a Pull Request. + ## License [DISTRIBUTION STATEMENT A] This material has been approved for public release and unlimited distribution. diff --git a/src/Ghosts.Client/Properties/AssemblyInfo.cs b/src/Ghosts.Client/Properties/AssemblyInfo.cs index 66c60472..8381231e 100755 --- a/src/Ghosts.Client/Properties/AssemblyInfo.cs +++ b/src/Ghosts.Client/Properties/AssemblyInfo.cs @@ -34,4 +34,4 @@ // [assembly: AssemblyVersion("1.0.*")] [assembly: AssemblyVersion("8.0.0.0")] [assembly: AssemblyInformationalVersion("8.0.0.0")] -[assembly: AssemblyFileVersion("8.1.1.0")] +[assembly: AssemblyFileVersion("8.2.0.0")] diff --git a/src/ghosts.shadows/.dockerignore b/src/ghosts.shadows/.dockerignore new file mode 100644 index 00000000..29223e36 --- /dev/null +++ b/src/ghosts.shadows/.dockerignore @@ -0,0 +1,14 @@ +.git +.github +.cache + +*__pycache__* +__pycache__/* + +.dockerignore +Dockerfile + +*venv* + +data/* +docs/* diff --git a/src/ghosts.shadows/.github/workflows/docker.yml b/src/ghosts.shadows/.github/workflows/docker.yml new file mode 100644 index 00000000..da2a45cb --- /dev/null +++ b/src/ghosts.shadows/.github/workflows/docker.yml @@ -0,0 +1,31 @@ +name: Make Docker Image + +on: + workflow_dispatch: + branches: [ main ] + push: + tags: + - 'v*' + +jobs: + build: + runs-on: ubuntu-latest + + steps: + + - name: Checkout code + uses: actions/checkout@v2 + + - name: Login to dockerhub + uses: docker/login-action@v1 + with: + username: ${{ secrets.DOCKERHUB_USERNAME }} + password: ${{ secrets.DOCKERHUB_TOKEN }} + + - name: Build and push Docker images + uses: docker/build-push-action@v2 + with: + tags: dustinupdyke/ghosts-shadows:latest + push: true + context: src/. + file: ./src/Dockerfile diff --git a/src/ghosts.shadows/.gitignore b/src/ghosts.shadows/.gitignore new file mode 100644 index 00000000..66d492ab --- /dev/null +++ b/src/ghosts.shadows/.gitignore @@ -0,0 +1,164 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + +docs/* +data/* +embeddings/* \ No newline at end of file diff --git a/src/ghosts.shadows/Dockerfile b/src/ghosts.shadows/Dockerfile new file mode 100644 index 00000000..ac47c492 --- /dev/null +++ b/src/ghosts.shadows/Dockerfile @@ -0,0 +1,34 @@ +# Use an official Python runtime as a parent image +FROM python:3.11.5-slim + +# Set the working directory in the container +WORKDIR /usr/src/app + +# Install system dependencies and ignore invalid signatures +RUN apt-get -o Acquire::Check-Valid-Until=false -o Acquire::AllowInsecureRepositories=true update && apt-get --allow-unauthenticated install -y \ + build-essential \ + libffi-dev \ + curl \ + python3-dev \ + && rm -rf /var/lib/apt/lists/* + +# Copy the current directory contents into the container at /usr/src/app +COPY . . + +# Upgrade pip, setuptools, and wheel +RUN pip install --upgrade pip setuptools wheel + +# Install any needed packages specified in requirements.txt +RUN pip install --no-cache-dir -r src/requirements.txt + +# Install Supervisor +RUN apt-get update && apt-get install -y supervisor && rm -rf /var/lib/apt/lists/* + +# Copy Supervisor config file +COPY supervisord.conf /etc/supervisor/conf.d/supervisord.conf + +EXPOSE 5900 +EXPOSE 7860 + +# Run Supervisor when the container starts +CMD ["/usr/bin/supervisord"] diff --git a/src/ghosts.shadows/README.md b/src/ghosts.shadows/README.md new file mode 100644 index 00000000..a24c149e --- /dev/null +++ b/src/ghosts.shadows/README.md @@ -0,0 +1,76 @@ +# GHOSTS SHADOWS + +Shadows provides access to a locally-hosted llm for the purposes of GHOSTS agents. + +It provides multiple interfaces: + +- A REST API for the purposes of ghosts agents +- A UI web interface for testing and demo purposes + +The API endpoints are: + +- **Activities**: Answers the question of "what should an NPC do next?" +- **Chat**: Provides content for an NPC to chat with a player or other NPC +- **Content**: Provides a richer array of content for the docuements created by NPCs in a range +- **Social**: Provides content for an NPC to post on a social media system such as GHOSTS Socializer + +We suspect there will be many more in the future. + +## Running via Docker + +Typically, the easiest way to manage deployment is to pass the env var "GHOSTS_OLLAMA_URL" into the container. + + EXPORT GHOSTS_OLLAMA_URL=http://localhost:11434 + +(where 5900 is the api port and 7860 is the ui port) +`docker run -d --name shadows -p 5900:5900 -p 7860:7860 dustinupdyke/ghosts-shadows` + +## Running on bare metal + +Standing up the Shadows stack is currently (you'll need three terminal windows. We'll clean this up eventually): + +Get Ollama up and running: + +```bash +cd content-models/content +ollama create content +ollama run content +``` +Now run the two servers (in separate terminals): + +```bash +python api.py +python ui.py +``` + +Eventually ollama will serve multiple models all the time. + +So, this loop for ["content", "social", "chat", "activities"] will be: + +```bash +cd content-models/activities +ollama create activities + +cd content-models/chat +ollama create chat + +cd content-models/social +ollama create social + +ollama serve +``` + +If you want this to be available beyond localhost, you'd need to run: + + OLLAMA_HOST=0.0.0.0:11434 ollama serve + +Now ollama is running all four models concurrently. The API server provides access into each. + +## Documentation + +- [GHOSTS Documentation](https://cmu-sei.github.io/GHOSTS/) +- [Don't hesitate to submit issues and feature requests](https://github.com/cmu-sei/GHOSTS/issues) + +## License + +[DISTRIBUTION STATEMENT A] This material has been approved for public release and unlimited distribution. Copyright 2017 Carnegie Mellon University. All Rights Reserved. See LICENSE.md file for terms. \ No newline at end of file diff --git a/src/ghosts.shadows/content-models/activity/Modelfile b/src/ghosts.shadows/content-models/activity/Modelfile new file mode 100644 index 00000000..8c96f6df --- /dev/null +++ b/src/ghosts.shadows/content-models/activity/Modelfile @@ -0,0 +1,11 @@ +FROM mistral + +# set the temperature to 1 [higher is more creative, lower is more coherent] +PARAMETER temperature 1 + +# set the system message +SYSTEM """ +You are a task manager for a group of people in an office. You tell them what to do and why. Some tasks are on the computer, some are not. +Answer very crisply and in short sentences only. Your answers should be in format: +{"activities": ["activity":"place_activity_here","reason":"place_reason_here"]} +""" \ No newline at end of file diff --git a/src/ghosts.shadows/content-models/chat/Modelfile b/src/ghosts.shadows/content-models/chat/Modelfile new file mode 100644 index 00000000..04bd6541 --- /dev/null +++ b/src/ghosts.shadows/content-models/chat/Modelfile @@ -0,0 +1,22 @@ +# FROM nous-hermes + +# PARAMETER temperature 1 +# PARAMETER num_ctx 8192 + +# SYSTEM """ +# You are a surly content marketer who needs to come up with a short but succinct tweet. Make sure to include the appropriate hashtags and links. Sometimes when appropriate, describe a meme that can be included as well. All answers should be in the form of a status update which has a max size of 280 characters. Don't be overly positive or collaborative, and tell people off periodically. +# """ + +FROM llama2-uncensored + +# set the temperature to 1 [higher is more creative, lower is more coherent] +PARAMETER temperature 1 +PARAMETER num_ctx 8192 + +# set the system message +SYSTEM """ +You are the super secret chatbot. You write people's posts to the chat system. +You get straight to the point and don't waste time with small talk. +Be creative with your own responses! +""" + diff --git a/src/ghosts.shadows/content-models/excel_content/Modelfile b/src/ghosts.shadows/content-models/excel_content/Modelfile new file mode 100644 index 00000000..1940406b --- /dev/null +++ b/src/ghosts.shadows/content-models/excel_content/Modelfile @@ -0,0 +1,9 @@ +FROM llama2 +SYSTEM """ +Embrace your role as an excel-sheet creator. +Based on the URL provided, you must produce a text-based 10 rows and 5 columns excel sheet. +Label your row and columns with words based on the URL. DO NOT label them row, column, and cell contents. +Fill in the all the cells with numbers content based on the context of the row and column names generated. +You will reply only the result of excel table as text, and nothing else. +Do NOT return anything but the rows and columns. NO explanations. +""" \ No newline at end of file diff --git a/src/ghosts.shadows/content-models/img_content/Modelfile b/src/ghosts.shadows/content-models/img_content/Modelfile new file mode 100644 index 00000000..ab37e613 --- /dev/null +++ b/src/ghosts.shadows/content-models/img_content/Modelfile @@ -0,0 +1,26 @@ +# Modelfile for creating a Midjourney prompts from a topic +# This prompt was adapted from the original at https://www.greataiprompts.com/guide/midjourney/best-chatgpt-prompt-for-midjourney/ +# Run `ollama create mj -f ./Modelfile` and then `ollama run mj` and enter a topic + +# FROM zephyr +# PARAMETER temperature 0.8 +# PARAMETER top_k 500 +# PARAMETER top_p 0.9 +# SYSTEM """ +# Embrace your role as a creative illustrator. +# Based on the URL provided, you must produce a single paragraph with a multifaceted description of a realistic image, ensuring significant details of the concept and more is represented in your instructions. +# You do not need to write complete sentences but rather short concepts with the following information: the level of detail that should be represented, an artistic style, the ideal color pallete, lighting, mood, perspective, the setting, time of day, weather, the season, the time period, location, materials, patterns, lines, techniques, the medium, the genre, the rendering style. +# Don't include everything and keep the description length under 25 words. +# """ + +FROM zephyr +PARAMETER temperature 0.8 +PARAMETER top_k 500 +PARAMETER top_p 0.9 +SYSTEM """ +Embrace your role as a photographer. +Based on the URL provided, you must produce a single paragraph with a multifaceted description of a realistic image, ensuring significant details of the concept and more is represented in your instructions. +You do not need to write complete sentences but rather short concepts with the following information: +the level of detail that should be represented, a photo style, the ideal color pallete, lighting, mood, perspective, the setting, time of day, weather, the season, the time period, location, materials, the medium, the genre, the rendering style. +Don't include everything and keep the description length under 25 words. +""" \ No newline at end of file diff --git a/src/ghosts.shadows/content-models/lessons/Modelfile b/src/ghosts.shadows/content-models/lessons/Modelfile new file mode 100644 index 00000000..0a21e1d0 --- /dev/null +++ b/src/ghosts.shadows/content-models/lessons/Modelfile @@ -0,0 +1,10 @@ +FROM llama3:70B + +PARAMETER temperature 1 +PARAMETER num_ctx 8192 + +SYSTEM """ +Embrace your role as an lesson plan or lesson module creator. +Based on the information provided, you must produce appropriate sub-topics of things to be taught, knowledge checks and tasks that a user should be able to do for the topic, hands-on lab concepts, and similar for the lesson. +Do NOT return anything but I have asked. NO lengthy explanations into your reasoning please. +""" \ No newline at end of file diff --git a/src/ghosts.shadows/content-models/readme.md b/src/ghosts.shadows/content-models/readme.md new file mode 100644 index 00000000..cd027e11 --- /dev/null +++ b/src/ghosts.shadows/content-models/readme.md @@ -0,0 +1,31 @@ +# Content Models + +This repository contains modelfiles intended for building customized models on ollama.ai. These models enhance various facets of digital interactions and content creation: + +1. **Activity**: Generates simulations of agent activity, encompassing a wide range of behaviors and scenarios. +2. **Chat**: Tailors responses and interactions for agents using chat platforms or posting messages on social media, ensuring relevance and engagement. +3. **Content**: Facilitates the creation of documents and other artifacts, streamlining the process of generating authentic and contextually appropriate content. + +## Getting Started + +As an example for the /activity model: + +```bash +cd activity +ollama create activity +ollama run activity +``` + +To tear down the model, run: + +```bash +rm ~/.ollama/history +ollama rm activity +``` + +And then rebuild: + +```bash +ollama create activity +ollama run activity +``` \ No newline at end of file diff --git a/src/ghosts.shadows/content-models/social/Modelfile b/src/ghosts.shadows/content-models/social/Modelfile new file mode 100644 index 00000000..00e7d585 --- /dev/null +++ b/src/ghosts.shadows/content-models/social/Modelfile @@ -0,0 +1,8 @@ +FROM llama2-uncensored + +PARAMETER temperature 1 +PARAMETER num_ctx 8192 + +SYSTEM """ +You are TweeterGPT, you write short and sweet social media posts. +""" diff --git a/src/ghosts.shadows/content-models/web_content/Modelfile b/src/ghosts.shadows/content-models/web_content/Modelfile new file mode 100644 index 00000000..81a78207 --- /dev/null +++ b/src/ghosts.shadows/content-models/web_content/Modelfile @@ -0,0 +1,26 @@ +# FROM llama2:13B +FROM codellama:13b +# FROM codeup + +# Set the temperature to 1 [higher is more creative, lower is more coherent] +PARAMETER temperature 1 + +# Set the system message to guide the model for generating realistic document content +# SYSTEM """ +# You are DocuGen, specialized in creating realistic and detailed document content tailored to the needs of various professionals. +# Use the following pieces of context to answer the question. +# Focus on understanding the context and requirements of each request to generate content that is both relevant and informative. +# Consider the role, industry, and purpose of the document while maintaining a professional and coherent tone. +# Be adaptable, providing structured and concise content that directly addresses the user's query. +# NEVER, NEVER talk about yourself, DocuGen or your company. +# Don't talk about the thing you wrote, just stick to the topic. +# """ + +SYSTEM """ +You are a webpage content creator specialized in creating realistic and detailed webpage content based on the url of the website given. +Return the webpage content in HTML format +Be adaptable, providing structured and concise content that directly addresses the user's query. +NEVER, NEVER talk about yourself. +Don't talk about the thing you wrote, just stick to the topic. +Don't give me anything but the webpage content. +""" \ No newline at end of file diff --git a/src/ghosts.shadows/scripts/convert-pdf-to-txt.py b/src/ghosts.shadows/scripts/convert-pdf-to-txt.py new file mode 100644 index 00000000..60b122b3 --- /dev/null +++ b/src/ghosts.shadows/scripts/convert-pdf-to-txt.py @@ -0,0 +1,23 @@ +import os +import PyPDF2 + +def pdf_to_txt(pdf_path, txt_path): + with open(pdf_path, 'rb') as pdf_file: + reader = PyPDF2.PdfReader(pdf_file) + with open(txt_path, 'w', encoding='utf-8') as txt_file: + for page_num in range(len(reader.pages)): + page = reader.pages[page_num] + text = page.extract_text() + txt_file.write(text) + +def convert_folder_pdfs_to_txt(folder_path): + for filename in os.listdir(folder_path): + if filename.endswith('.pdf'): + pdf_path = os.path.join(folder_path, filename) + txt_path = os.path.splitext(pdf_path)[0] + '.txt' + pdf_to_txt(pdf_path, txt_path) + print(f"Converted {filename} to text file.") + +if __name__ == "__main__": + folder_path = '../docs' + convert_folder_pdfs_to_txt(folder_path) diff --git a/src/ghosts.shadows/scripts/horde.py b/src/ghosts.shadows/scripts/horde.py new file mode 100644 index 00000000..d69ae297 --- /dev/null +++ b/src/ghosts.shadows/scripts/horde.py @@ -0,0 +1,98 @@ +import requests +import random +import json +import os +import time +from faker import Faker + +fake = Faker() + +def post_data(url, data): + payload = json.dumps({"query": data}) + headers = {'Content-Type': 'application/json'} + response = requests.post(url, headers=headers, data=payload) + return response.text + +def post_social(url, user, data): + payload = f"u={user}&m={data}" + headers = {'Content-Type': 'application/x-www-form-urlencoded'} + + response = requests.post(url, headers=headers, data=payload) + print("========================================================") + print(data) + print(response.text) + +def generate_fake_name(): + first_name = fake.first_name() + last_name = fake.last_name() + return f"{first_name} {last_name}" + + +if __name__ == '__main__': + print(""" + + ('-. .-. .-') .-') _ .-') + ( OO ) / ( OO ). ( OO) ) ( OO ). + ,----. ,--. ,--. .-'),-----. (_)---\_)/ '._ (_)---\_) + ' .-./-') | | | |( OO' .-. '/ _ | |'--...__)/ _ | + | |_( O- )| .| |/ | | | |\ :` `. '--. .--'\ :` `. + | | .--, \| |\_) | |\| | '..`''.) | | '..`''.) +(| | '. (_/| .-. | \ | | | |.-._) \ | | .-._) \ + | '--' | | | | | `' '-' '\ / | | \ / + `------' `--' `--' `-----' `-----' `--' `-----' + + """) + print("A GHOSTS HORDE is coming online...") + + shadow_host = os.getenv("GHOSTS_SHADOWS", "http://localhost:5900/social") + socializer_host = os.getenv("GHOSTS_SOCIALIZER", "http://socializer.com") + delay = os.getenv("GHOSTS_DELAY", 30) + + #does file exist? + if not os.path.exists("horde_users.csv"): + with open("horde_users.csv", "w") as f: + # create a file with 100 random users + # write the header of firstname, lastname, party, strength + f.write("firstname,lastname,party,strength\n") + for i in range(100): + first_name = fake.first_name() + last_name = fake.last_name() + party = random.choice(["Republican", "Democrat"]) + strength = random.randint(1, 100) + f.write(f"{first_name},{last_name},{party},{strength}\n") + f.write("") + + # load the data from the file + with open("horde_users.csv", "r") as f: + data = f.readlines() + # remove the header + data = data[1:] + + with open("scandals.txt", "r") as f: + scandals = f.readlines() + scandal = random.choice(scandals).strip() + print(f"Starting a rumor mill about the following scandal: {scandal}") + + # Loop to continuously send data + while True: + # pick a random record from data + record = random.choice(data) + record = record.strip().split(",") + fake_name = f"{record[0]} {record[1]}" + party = record[2] + partisan_level = record[3] + + prompt = f"I want to tweet about the following scandal in El Marador: `{scandal}`. Write me a tweet, but don't refer to me ever! I am a {party} with a strength of belief in my part of {partisan_level} out of 100. Write me a tweet, but don't refer to me, and don't refer to my strength of belief. If that strength is a low number, then i will be questiong things, if it is high, then i will be trying to convince others to join me." + + #prompt = f"I want to tweet about the critical upcoming election in El Marador. My name is {fake_name}, and I am a {party} with a strength of belief in my part of {partisan_level} out of 100. Write me a tweet, but don't refer to me, and don't refer to my strength of belief. If that strength is a low number, then i will be questiong things, if it is high, then i will be trying to convince others to join me." + print("========================================================") + print(f"{fake_name} {party} {partisan_level}") + + response = post_data(shadow_host, prompt).replace('"', '') + print(response) + + #post_social(socializer_host, fake_name, response) + + # Sleep for a random amount of time + # time.sleep(random.randint(1, delay)) + time.sleep(5) diff --git a/src/ghosts.shadows/scripts/horde_users.csv b/src/ghosts.shadows/scripts/horde_users.csv new file mode 100644 index 00000000..52a14fd5 --- /dev/null +++ b/src/ghosts.shadows/scripts/horde_users.csv @@ -0,0 +1,101 @@ +firstname,lastname,party,strength +Mark,Fernandez,Republican,93 +Tyler,Powell,Democrat,68 +Sylvia,Melendez,Republican,32 +Travis,Smith,Republican,65 +Susan,Johnson,Republican,95 +Gregory,Woods,Republican,56 +Travis,Pitts,Republican,68 +Amber,Roth,Democrat,4 +Caleb,Wilson,Democrat,76 +Mary,Barrett,Republican,6 +Vickie,Hawkins,Democrat,33 +Madison,Wells,Democrat,87 +Jennifer,Livingston,Democrat,4 +Maria,Owens,Republican,19 +Tiffany,Carey,Republican,21 +James,Peters,Democrat,91 +Morgan,Gates,Democrat,4 +Douglas,Horn,Democrat,20 +Michael,Roy,Democrat,23 +Mary,Zhang,Democrat,48 +Samuel,Duffy,Democrat,18 +David,Anderson,Republican,73 +Henry,Graham,Democrat,47 +Nicole,Hicks,Democrat,66 +Nancy,Ibarra,Republican,97 +Stacey,Massey,Democrat,82 +Katherine,Hernandez,Democrat,52 +Amanda,Hobbs,Republican,93 +Taylor,Smith,Republican,95 +Donald,Walton,Republican,16 +James,Arias,Democrat,53 +Brianna,Fletcher,Democrat,47 +Robert,Leon,Republican,68 +Erica,Cobb,Democrat,63 +Sara,Smith,Republican,27 +Alexis,Mccall,Democrat,64 +Lee,Meyers,Republican,26 +Cheryl,Greene,Republican,92 +Marc,Miller,Democrat,25 +Matthew,Jones,Democrat,71 +Luis,Smith,Republican,43 +Terri,West,Republican,67 +Logan,Miller,Republican,1 +Alec,Alexander,Republican,62 +Michael,Woodward,Democrat,16 +Beverly,Fowler,Democrat,17 +Jessica,Pearson,Republican,36 +Spencer,Nguyen,Democrat,74 +Darlene,Wiggins,Democrat,84 +Kimberly,Rivas,Republican,75 +Alison,Keith,Republican,91 +Thomas,Roberts,Republican,56 +Jennifer,Davis,Democrat,83 +Xavier,Collins,Republican,33 +Rachel,Carter,Republican,55 +Diane,Phillips,Republican,15 +Samantha,Rodgers,Democrat,22 +Kerri,Gonzalez,Democrat,99 +Maria,Drake,Democrat,56 +John,Ali,Republican,43 +Jeffrey,Franklin,Republican,89 +Samuel,Carlson,Republican,14 +Jessica,Koch,Republican,15 +Oscar,Marshall,Democrat,78 +Angelica,George,Republican,3 +Diane,Flores,Democrat,41 +Dana,Anderson,Republican,96 +Anna,Montoya,Republican,71 +Janice,Villanueva,Democrat,16 +Amy,Taylor,Republican,100 +Donald,Hale,Republican,87 +Wendy,Leach,Republican,63 +Alfred,Jennings,Republican,96 +Shari,Howell,Democrat,15 +Maxwell,Melton,Democrat,80 +Danny,Day,Republican,41 +Angelica,Brown,Republican,55 +Brooke,Hernandez,Republican,15 +Robert,Wyatt,Democrat,75 +Karen,Lindsey,Democrat,78 +Darlene,Flores,Republican,61 +Vanessa,Jones,Democrat,54 +Ashley,Thomas,Republican,24 +Steven,Stephens,Democrat,100 +Jennifer,Murphy,Democrat,17 +Erica,Cobb,Republican,100 +Sarah,Ortiz,Republican,23 +Jason,Santos,Democrat,95 +Rachel,Irwin,Republican,64 +Adrian,Hamilton,Democrat,32 +Nichole,Harris,Republican,53 +Sarah,Stone,Republican,62 +Dawn,Hernandez,Democrat,8 +Holly,Hill,Republican,55 +Ashley,Richardson,Republican,45 +Leah,Martinez,Republican,22 +Nicole,Ross,Republican,24 +Mark,Walker,Republican,28 +Tammy,Ingram,Republican,9 +Sherri,Bruce,Republican,43 diff --git a/src/ghosts.shadows/scripts/scandals.txt b/src/ghosts.shadows/scripts/scandals.txt new file mode 100644 index 00000000..8a4639e8 --- /dev/null +++ b/src/ghosts.shadows/scripts/scandals.txt @@ -0,0 +1,20 @@ +Financial Embezzlement - Misappropriation of funds from a company or organization. +Bribery and Corruption - Accepting or offering something of value in exchange for influence or action. +Sexual Harassment - Unwelcome sexual advances, requests for sexual favors, and other verbal or physical harassment. +Insider Trading - Trading a public company's stock or other securities based on material, non-public information. +Plagiarism - Taking someone else's work or ideas and passing them off as one's own. +Substance Abuse - Misuse of alcohol or drugs, particularly if it affects professional conduct or public safety. +Tax Evasion - Illegally avoiding paying taxes, often by making fraudulent claims. +Campaign Finance Violations - Illegal actions related to political fundraising. +Professional Misconduct - Actions in a professional setting that violate ethical standards. +Conflicts of Interest - Situations where a person's personal interests could interfere with their professional obligations. +Data Privacy Violations - Mishandling or unauthorized access to sensitive data. +Discrimination - Unfair treatment based on race, gender, age, or other protected characteristics. +Leaking Confidential Information - Unauthorized disclosure of sensitive or classified information. +Nepotism and Favoritism - Giving unfair advantages to friends or relatives in professional settings. +Election Interference - Actions aimed at improperly influencing the outcome of an election. +Health and Safety Violations - Failure to comply with regulations designed to protect health and safety. +Illegal Lobbying - Lobbying without proper registration or exceeding the bounds of legal advocacy. +Corporate Espionage - Illegally obtaining trade secrets or confidential information from competitors. +Academic Dishonesty - Cheating or falsification in an academic environment. +Public Indecency - Acts that are offensive or unacceptable in public settings. diff --git a/src/ghosts.shadows/src/.python-version b/src/ghosts.shadows/src/.python-version new file mode 100644 index 00000000..9ac38041 --- /dev/null +++ b/src/ghosts.shadows/src/.python-version @@ -0,0 +1 @@ +3.11.5 diff --git a/src/ghosts.shadows/src/api.py b/src/ghosts.shadows/src/api.py new file mode 100644 index 00000000..b2393531 --- /dev/null +++ b/src/ghosts.shadows/src/api.py @@ -0,0 +1,231 @@ +from flask import Flask, request, jsonify, render_template, send_file +from langchain.chains import ConversationalRetrievalChain +from langchain.memory import ConversationBufferMemory +from langchain.text_splitter import CharacterTextSplitter +from langchain.prompts import PromptTemplate + +from langchain_community.document_loaders import PyPDFLoader +from langchain_community.document_loaders import Docx2txtLoader +from langchain_community.document_loaders import TextLoader +from langchain_community.vectorstores import Chroma + +from langchain_community.chat_models import ChatOllama +from langchain_community.embeddings import FastEmbedEmbeddings + +from transformers import BertModel, BertTokenizer +from handlers import content_handler, activities_handler, img_handler, lessons_handler + +from jose import jwt, JWTError +import re +import csv +import os +import logging + +# Initialize the logger +logging.basicConfig(level=logging.DEBUG) +logger = logging.getLogger(__name__) + +SECRET_KEY = "Tartans1" +ALGORITHM = "HS256" + +docs = [] +documents = [] + +def filter(content): + content_sentences = re.split(r'([:|.!?])', content) + content_sentences = [(content_sentences[i] + content_sentences[i+1]) for i in range(0, len(content_sentences) - 1, 2)] + for i, sentence in enumerate(content_sentences): + if re.match(r'^[^:]*:', sentence): + sentence = re.sub(r'^[^:]*:', '', sentence) + + if re.match(r'\b\w+,\s*', sentence): + sentence = re.sub(r'\b\w+,\s*', '', sentence) + if sentence: + sentence = sentence[0].upper() + sentence[1:] + + if re.match(r'^\s*\w+!', sentence): + sentence = re.sub(r'^\w+!', '', sentence) + + if re.match(r'^\s*\w+\s\w+!', sentence): + sentence = re.sub(r'^\w+\s\w+!', '', sentence) + + if re.match(r"^\s*.*\b(here is|here are|here's a|here's an|here's the|here's)\b.*$", sentence, flags = re.IGNORECASE): + sentence = re.sub(r"^\s*.*\b(here is|here are|here's a|here's an|here's the|here's)\b.*$", "", sentence, flags = re.IGNORECASE) + + if re.match(r"^\s*.*\b(excel|URL|a sentence about|a paragraph about|like to know|I hope|AI-powered|be happy to help|can help you|to optimize this tweet|provide one or two relevant hashtags for the tweet)\b.*$", sentence, flags = re.IGNORECASE): + sentence = re.sub(r"^\s*.*\b(excel|URL|a sentence about|a paragraph about|like to know|I hope|AI-powered|be happy to help|can help you|to optimize this tweet|provide one or two relevant hashtags for the tweet)\b.*$", "", sentence, flags=re.IGNORECASE) + + if re.match(r"^\s*.*\b(demonstration purposes|random|based on the context|randomly|just examples|hypothetical|may contain|based on the information|based on the provided context)\b.*$", sentence, flags = re.IGNORECASE): + sentence = re.sub(r"^\s*.*\b(demonstration purposes|random|based on the context|randomly|just examples|hypothetical|may contain|based on the information|based on the provided context)\b.*$", "", sentence, flags = re.IGNORECASE) + + # Regex to remove any email addresses + sentence = re.sub(r"\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b", "", sentence) + + emoji_pattern = re.compile("[" + u"\U0001F600-\U0001F64F" # emoticons + u"\U0001F300-\U0001F5FF" # symbols & pictographs + u"\U0001F680-\U0001F6FF" # transport & map symbols + u"\U0001F1E0-\U0001F1FF" # flags (iOS) + "]+", flags=re.UNICODE) + sentence = emoji_pattern.sub(r'', sentence) # no emoji + content_sentences[i] = sentence + + content = " ".join(content_sentences) + return content.strip() + +api_app = Flask(__name__) + +def decode_jwt(token: str): + try: + payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM]) + username: str = payload.get("sub") + if not username: + raise ValueError("Invalid token payload") + return username + except JWTError as e: + logger.error(f"JWT Error: {str(e)}") + return None + +@api_app.before_request +def log_request_info(): + token = request.headers.get('Authorization') + if token and token.startswith("Bearer "): + token = token.split("Bearer ")[1] + username = decode_jwt(token) + if username: + logger.debug('Incoming request: %s %s %s', request.method, request.url, request.data) + logger.debug(f'User: {username}, Token: {token}') + else: + logger.debug('Invalid Token') + else: + logger.debug('No token provided') + +@api_app.after_request +def log_response_info(response): + content_type = response.headers.get('Content-Type', '') + if 'image' not in content_type and 'binary' not in content_type: + logger.debug('Outgoing response: %s', response.status) + print("-------------------------------------------------------------------------------------------") + else: + logger.debug('Outgoing response (binary content): %s', response.status) + print("-------------------------------------------------------------------------------------------") + return response + +@api_app.route('/', methods=['GET', 'POST']) +def home(): + return render_template('index.html') + +@api_app.route('/assets/ghosts-shadows.png', methods=['GET']) +def image(): + return send_file("assets/ghosts-shadows.png", mimetype='image/png') + +@api_app.route('/activity', methods=['POST']) +def activity(): + global docs + global documents + logger.info("Processing activity request") + llm = ChatOllama(model="activity", temperature=0.9) + data = request.json + query = data.get('query') + logger.debug("Activity query: %s", query) + response, docs, documents = activities_handler.main(query, docs, documents) + response = llm.invoke(query).content + logger.debug("Activity response: %s", response) + return jsonify(response) + +@api_app.route('/chat', methods=['POST']) +def chat(): + logger.debug(f"Connecting to ollama at {ollama_host} using chat model") + llm = ChatOllama(base_url=ollama_host, model="chat", temperature=0.9) # , base_url="http://0.0.0.0:11434" + data = request.json + query = data.get('query') + response = llm.invoke(query) + logger.debug("Chat response: %s", response.content) + return jsonify(response.content) + +@api_app.route('/content', methods=['POST']) +def content(): + global docs + global documents + response = "" + while len(response) == 0: + web_llm = ChatOllama(base_url=ollama_host, model='web_content', temperature=0.9) + img_llm = ChatOllama(base_url=ollama_host, model='img_content', temperature=0.9) + excel_llm = ChatOllama(base_url=ollama_host, model='excel_content', temperature=0.9) + + data = request.json + query = data.get('query') + logger.debug("Content query: %s", query) + if '.docx' in query or '.pdf' in query: + response, docs, documents = content_handler.main(query, docs, documents) + elif '.png' in query: + prompt = img_llm.invoke(query).content + prompt = filter(prompt) + img_handler.main(prompt) + logger.debug("Image handler response sent") + return send_file("/handlers/my_image.jpg", mimetype = 'image/png') + elif '.xls' in query: + excel = excel_llm.invoke(query).content + excel = filter(excel) + response = excel.split('\n') + with open ('excel.csv', 'w', newline = '') as csvfile: + writer = csv.writer(csvfile, delimiter = ' ', quotechar = '|', quoting = csv.QUOTE_MINIMAL) + for r in response: + if len(r) != 0: + r_list = r.split('| ') + r_list = r_list[1:len(r_list)-1] + r_list = [word.strip() for word in r_list] + writer.writerow(r_list) + logger.debug("Excel handler response sent") + return send_file("excel.csv", mimetype = 'text/csv') + elif 'http' in query: + response = web_llm.invoke(query).content + response = filter(response) + else: + response, docs, documents = content_handler.main(query, docs, documents) + logger.debug("Content response: %s", response) + return jsonify(response) + +@api_app.route('/social', methods=['POST']) +def social(): + llm = ChatOllama(base_url=ollama_host, model="social", temperature=0.9) + data = request.json + query = data.get('query') + logger.debug("Social query: %s", query) + response = llm.invoke(query).content + response = filter(response) + logger.debug("Social response: %s", response) + return jsonify(response) + +@api_app.route('/lessons', methods=['POST']) +def lessons(): + global docs + global documents + data = request.json + query = data.get('query') + logger.debug("Lessons query: %s", query) + response, docs, documents = lessons_handler.main(query, docs, documents) + response = filter(response) + logger.debug("Lessons response: %s", response) + return jsonify(response) + +if __name__ == '__main__': + api_app.logger.setLevel(logging.DEBUG) + + api_app.logger.info(""" + + ('-. .-. .-') .-') _ .-') + ( OO ) / ( OO ). ( OO) ) ( OO ). + ,----. ,--. ,--. .-'),-----. (_)---\_)/ '._ (_)---\_) + ' .-./-') | | | |( OO' .-. '/ _ | |'--...__)/ _ | + | |_( O- )| .| |/ | | | |\ :` `. '--. .--'\ :` `. + | | .--, \| |\_) | |\| | '..`''.) | | '..`''.) +(| | '. (_/| .-. | \ | | | |.-._) \ | | .-._) \ + | '--' | | | | | `' '-' '\ / | | \ / + `------' `--' `--' `-----' `-----' `--' `-----' + +""") + api_app.logger.info("GHOSTS SHADOWS coming online...") + + ollama_host = os.getenv("GHOSTS_OLLAMA_URL", "http://localhost:11434") + api_app.run(host='0.0.0.0', debug=True, port=5900) diff --git a/src/ghosts.shadows/src/assets/ghosts-shadows.png b/src/ghosts.shadows/src/assets/ghosts-shadows.png new file mode 100644 index 00000000..f9d8c8b2 Binary files /dev/null and b/src/ghosts.shadows/src/assets/ghosts-shadows.png differ diff --git a/src/ghosts.shadows/src/auth.py b/src/ghosts.shadows/src/auth.py new file mode 100644 index 00000000..528c6b77 --- /dev/null +++ b/src/ghosts.shadows/src/auth.py @@ -0,0 +1,185 @@ +from fastapi import FastAPI, Depends, HTTPException, status +from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm +from jose import JWTError, jwt +from passlib.context import CryptContext +from pydantic import BaseModel +from datetime import datetime, timedelta +from typing import Optional +from sqlalchemy import Column, Integer, String, Boolean +from sqlalchemy.ext.declarative import declarative_base +from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine +from sqlalchemy.orm import sessionmaker +from sqlalchemy.future import select + +# Secret key to encode the JWT token +SECRET_KEY = "Tartans1" +ALGORITHM = "HS256" +ACCESS_TOKEN_EXPIRE_MINUTES = 30 + +# SQLite database URL +SQLALCHEMY_DATABASE_URL = "sqlite+aiosqlite:///./test.db" + +# Create database connection and engine +engine = create_async_engine(SQLALCHEMY_DATABASE_URL, echo=True) + +# Create sessionmaker for async sessions +SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine, class_=AsyncSession) + +# Base class for SQLAlchemy models +Base = declarative_base() + +# Define User model +class User(Base): + __tablename__ = "users" + + id = Column(Integer, primary_key=True, index=True) + username = Column(String, unique=True, index=True) + full_name = Column(String) + hashed_password = Column(String) + disabled = Column(Boolean, default=False) + +# Pydantic model for token response +class Token(BaseModel): + access_token: str + token_type: str + +# Pydantic model for token data +class TokenData(BaseModel): + username: Optional[str] = None + +# Pydantic model for user data in the database +class UserInDB(BaseModel): + username: str + full_name: Optional[str] = None + hashed_password: str + disabled: Optional[bool] = None + +# Password hashing context using bcrypt +pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") + +# OAuth2 password bearer token configuration +oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token") + +# Create FastAPI instance +app = FastAPI() + +# Event handler to create database tables on startup +@app.on_event("startup") +async def on_startup(): + async with engine.begin() as conn: + await conn.run_sync(Base.metadata.create_all) + +# Verify plain password against hashed password +def verify_password(plain_password, hashed_password): + return pwd_context.verify(plain_password, hashed_password) + +# Hash a password +def get_password_hash(password): + return pwd_context.hash(password) + +# Retrieve user from database by username +async def get_user(db: AsyncSession, username: str): + result = await db.execute(select(User).where(User.username == username)) + return result.scalars().first() + +# Authenticate user by username and password +async def authenticate_user(db: AsyncSession, username: str, password: str): + user = await get_user(db, username) + if not user: + return False + if not verify_password(password, user.hashed_password): + return False + return user + +# Create a JWT token with an expiration date +def create_access_token(data: dict, expires_delta: Optional[timedelta] = None): + to_encode = data.copy() + if expires_delta: + expire = datetime.utcnow() + expires_delta + else: + expire = datetime.utcnow() + timedelta(minutes=15) + to_encode.update({"exp": expire}) + encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM) + return encoded_jwt + +# Dependency to get a database session +async def get_db(): + async with SessionLocal() as session: + yield session + +# Retrieve the current user from the token +async def get_current_user(token: str = Depends(oauth2_scheme), db: AsyncSession = Depends(get_db)): + credentials_exception = HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Could not validate credentials", + headers={"WWW-Authenticate": "Bearer"}, + ) + try: + payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM]) + username: str = payload.get("sub") + if username is None: + raise credentials_exception + token_data = TokenData(username=username) + except JWTError: + raise credentials_exception + user = await get_user(db, username=token_data.username) + if user is None: + raise credentials_exception + return user + +# Check if the current user is active +async def get_current_active_user(current_user: User = Depends(get_current_user)): + if current_user.disabled: + raise HTTPException(status_code=400, detail="Inactive user") + return current_user + +# Endpoint for user login and token generation +@app.post("/token", response_model=Token) +async def login_for_access_token(form_data: OAuth2PasswordRequestForm = Depends(), db: AsyncSession = Depends(get_db)): + user = await authenticate_user(db, form_data.username, form_data.password) + if not user: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Incorrect username or password", + headers={"WWW-Authenticate": "Bearer"}, + ) + access_token_expires = timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES) + access_token = create_access_token( + data={"sub": user.username}, expires_delta=access_token_expires + ) + return {"access_token": access_token, "token_type": "bearer"} + +# Endpoint for user signup +@app.post("/signup", response_model=Token) +async def signup(form_data: OAuth2PasswordRequestForm = Depends(), db: AsyncSession = Depends(get_db)): + user = await get_user(db, form_data.username) + if user: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="User already exists!", + ) + hashed_password = get_password_hash(form_data.password) + new_user = User( + username=form_data.username, + hashed_password=hashed_password, + full_name="", + disabled=False, + ) + async with db as session: + session.add(new_user) + await session.commit() + access_token_expires = timedelta(minutes=ACCESS_TOKEN_EXPIRE_MINUTES) + access_token = create_access_token( + data={"sub": form_data.username}, expires_delta=access_token_expires + ) + return {"access_token": access_token, "token_type": "bearer"} + +# Endpoint to get the current user's information +@app.get("/users/me/", response_model=UserInDB) +async def read_users_me(current_user: User = Depends(get_current_active_user)): + return current_user + +# Run the app with Uvicorn +if __name__ == "__main__": + import uvicorn + uvicorn.run(app, host="0.0.0.0", port=8000) diff --git a/src/ghosts.shadows/src/handlers/activities_handler.py b/src/ghosts.shadows/src/handlers/activities_handler.py new file mode 100644 index 00000000..bfa69b2d --- /dev/null +++ b/src/ghosts.shadows/src/handlers/activities_handler.py @@ -0,0 +1,174 @@ +#! /usr/bin/env python3 + +import sys +import os + +from langchain.chains import ConversationalRetrievalChain +from langchain.memory import ConversationBufferMemory +from langchain.text_splitter import CharacterTextSplitter, RecursiveCharacterTextSplitter +from langchain.prompts import PromptTemplate + +from langchain_community.document_loaders import PyPDFLoader +from langchain_community.document_loaders import Docx2txtLoader +from langchain_community.document_loaders import TextLoader +from langchain_community.document_loaders import JSONLoader +from langchain_community.vectorstores import Chroma + +from langchain_community.chat_models import ChatOllama +from langchain_community.embeddings import FastEmbedEmbeddings + +from transformers import BertModel, BertTokenizer +import torch +import numpy as np +import logging +from transformers import logging as hf_logging +import re + +hf_logging.set_verbosity_error() +np.set_printoptions(edgeitems=3, infstr='inf', + linewidth=75, nanstr='nan', precision=8, + suppress=False, threshold=6, formatter=None) +os.environ['PYTHONHTTPSVERIFY'] = '0' + +class BertEmbeddings: + def __init__(self, model_name='bert-base-uncased', cache_dir='./data/bert'): + if torch.backends.mps.is_available(): + self.device = torch.device("mps") + print("MPS device found. Using GPU with MPS.") + else: + self.device = torch.device("cpu") + print("MPS device not found. Using CPU.") + + self.tokenizer = BertTokenizer.from_pretrained('bert-base-uncased') + self.model = BertModel.from_pretrained('bert-base-uncased').to(self.device) + + def get_embedding(self, text): + inputs = self.tokenizer(text, return_tensors='pt', max_length=512, truncation=True) + inputs = inputs.to(self.device) + with torch.no_grad(): + outputs = self.model(**inputs) + return outputs.last_hidden_state.mean(dim=1).detach().cpu().numpy() + + def embed_documents(self, documents): + embeddings = [] + for doc in documents: + inputs = self.tokenizer(doc, return_tensors='pt', max_length=512, truncation=True, padding='max_length') + inputs = inputs.to(self.device) + with torch.no_grad(): + outputs = self.model(**inputs) + doc_embedding = outputs.last_hidden_state.mean(dim=1) + doc_embedding_list = doc_embedding[0].detach().cpu().numpy().tolist() # Convert to list + embeddings.append(doc_embedding_list) + return embeddings + + def embed_query(self, query): + inputs = self.tokenizer(query, return_tensors='pt', max_length=512, truncation=True, padding='max_length') + inputs = inputs.to(self.device) + with torch.no_grad(): + outputs = self.model(**inputs) + query_embedding = outputs.last_hidden_state.mean(dim=1) + return query_embedding[0].detach().cpu().numpy().tolist() + +def filter_llm_response(content): + content_sentences = re.split('([\:|\.|!|\?])', content) + content_sentences = [(content_sentences[i] + content_sentences[i+1]) for i in range(0, int(len(content_sentences)/2), 2)] + for i, sentence in enumerate(content_sentences): + if re.match(r'\b\w+,\s*', sentence): + sentence = re.sub(r'\b\w+,\s*', '', sentence) + if sentence: + sentence = sentence[0].upper() + sentence[1:] + + if re.match(r'^\s*\w+!', sentence): + sentence = re.sub(r'^\w+!', '', sentence) + + if re.match(r'^\s*\w+\s\w+!', sentence): + sentence = re.sub(r'^\w+\s\w+!', '', sentence) + + if re.match(r"^\s*.*\b(here is|here are|here\'s a|here\'s an|here\'s the|here\'s)\b.*$", sentence, flags = re.IGNORECASE): + sentence = re.sub(r"^\s*.*\b(here is|here are|here\'s a|here\'s an|here\'s the|here\'s)\b.*$", "", sentence, flags = re.IGNORECASE) + + if re.match(r"^\s*.*\b(a sentence about|a paragraph about|like to know|I hope|AI-powered|be happy to help|can help you|)\b.*$", sentence, flags = re.IGNORECASE): + sentence = re.sub(r"^\s*.*\b(a sentence about|a paragraph about|like to know|I hope|AI-powered|be happy to help|can help you)\b.*$", "", sentence, flags=re.IGNORECASE) + + if re.match(r"^\s*.*\b(hypothetical|may contain|based on the context provided|based on the provided context)\b.*$", sentence, flags = re.IGNORECASE): + sentence = re.sub(r"^\s*.*\b(hypothetical|may contain|based on the context provided|based on the provided context)\b.*$", "", sentence, flags = re.IGNORECASE) + + emoji_pattern = re.compile("[" + u"\U0001F600-\U0001F64F" # emoticons + u"\U0001F300-\U0001F5FF" # symbols & pictographs + u"\U0001F680-\U0001F6FF" # transport & map symbols + u"\U0001F1E0-\U0001F1FF" # flags (iOS) + "]+", flags=re.UNICODE) + sentence = emoji_pattern.sub(r'', sentence) # no emoji + content_sentences[i] = sentence + + content = " ".join(content_sentences) + return content.strip() + +def capitalize_first_word(s): + words = s.split() + if words: + words[0] = words[0].capitalize() + return ' '.join(words) + return s + +def main(query, docs, documents): + # documents = [] + for file in os.listdir("docs"): + if file not in docs: + docs.append(file) + if file.endswith(".pdf"): + pdf_path = "./docs/" + file + loader = PyPDFLoader(pdf_path) + documents.extend(loader.load()) + print(f"Loaded pdf {pdf_path}") + elif file.endswith('.docx') or file.endswith('.doc'): + doc_path = "./docs/" + file + loader = Docx2txtLoader(doc_path) + documents.extend(loader.load()) + print(f"Loaded doc {doc_path}") + elif file.endswith('.txt'): + text_path = "./docs/" + file + loader = TextLoader(text_path) + documents.extend(loader.load()) + print(f"Loaded txt {text_path}") + elif file.endswith('.json'): + json_path = "./json/" + file + loader = JSONLoader(json_path) + documents.extend(loader.load()) + print(f"Loaded json {json_path}") + + text_splitter = RecursiveCharacterTextSplitter(chunk_size=2500, chunk_overlap=0) + documents = text_splitter.split_documents(documents) + + bert_embeddings = BertEmbeddings() + + # vectordb = Chroma.from_documents(documents, embedding=FastEmbedEmbeddings(), persist_directory="./data") + vectordb = Chroma.from_documents(documents, embedding=bert_embeddings, persist_directory="./data") + vectordb.persist() + + prompt_template = PromptTemplate.from_template( + """ + [INST] + Your only task is to absorb the information given to you and then respond to any user input with + your provided information in mind.[/INST] + [INST] Prompt: {question} + Context: {context} + Answer: [/INST] + """ + ) + + pdf_qa = ConversationalRetrievalChain.from_llm( + ChatOllama(model="mistral", temperature=0.9), + vectordb.as_retriever(search_kwargs={"k": 3}), + return_source_documents=True, + verbose=False, + combine_docs_chain_kwargs={"prompt": prompt_template} + ) + + chat_history = [] + result = pdf_qa.invoke( + {"question": query, "chat_history": chat_history}) + filtered_response = filter_llm_response(result["answer"]) + chat_history.append((query, result["answer"])) + return filtered_response, docs, documents \ No newline at end of file diff --git a/src/ghosts.shadows/src/handlers/content_handler.py b/src/ghosts.shadows/src/handlers/content_handler.py new file mode 100644 index 00000000..f1de870c --- /dev/null +++ b/src/ghosts.shadows/src/handlers/content_handler.py @@ -0,0 +1,165 @@ +#! /usr/bin/env python3 + +import sys +import os + +from langchain.chains import ConversationalRetrievalChain +from langchain.memory import ConversationBufferMemory +from langchain.text_splitter import CharacterTextSplitter, RecursiveCharacterTextSplitter +from langchain.prompts import PromptTemplate + +from langchain_community.document_loaders import PyPDFLoader +from langchain_community.document_loaders import Docx2txtLoader +from langchain_community.document_loaders import TextLoader +from langchain_community.document_loaders import JSONLoader +from langchain_community.vectorstores import Chroma + +from langchain_community.chat_models import ChatOllama +from langchain_community.embeddings import FastEmbedEmbeddings + +from transformers import BertModel, BertTokenizer +import torch +import numpy as np +import logging +from transformers import logging as hf_logging +import re + +hf_logging.set_verbosity_error() +np.set_printoptions(edgeitems=3, infstr='inf', + linewidth=75, nanstr='nan', precision=8, + suppress=False, threshold=6, formatter=None) +os.environ['PYTHONHTTPSVERIFY'] = '0' + +class BertEmbeddings: + def __init__(self, model_name='bert-base-uncased', cache_dir='./data/bert'): + self.tokenizer = BertTokenizer.from_pretrained('bert-base-uncased') + self.model = BertModel.from_pretrained('bert-base-uncased') + + def get_embedding(self, text): + inputs = self.tokenizer(text, return_tensors='pt', max_length=512, truncation=True) + outputs = self.model(**inputs) + return outputs.last_hidden_state.mean(dim=1).detach().numpy() + + def embed_documents(self, documents): + embeddings = [] + for doc in documents: + inputs = self.tokenizer(doc, return_tensors='pt', max_length=512, truncation=True, padding='max_length') + outputs = self.model(**inputs) + doc_embedding = outputs.last_hidden_state.mean(dim=1) + doc_embedding_list = doc_embedding[0].detach().cpu().numpy().tolist() # Convert to list + embeddings.append(doc_embedding_list) + return embeddings + + def embed_query(self, query): + inputs = self.tokenizer(query, return_tensors='pt', max_length=512, truncation=True, padding='max_length') + outputs = self.model(**inputs) + query_embedding = outputs.last_hidden_state.mean(dim=1) + # Convert to list + return query_embedding[0].detach().cpu().numpy().tolist() + +def filter_llm_response(content): + content_sentences = re.split('([\:|\.|!|\?])', content) + content_sentences = [(content_sentences[i] + content_sentences[i+1]) for i in range(0, int(len(content_sentences)/2), 2)] + for i, sentence in enumerate(content_sentences): + if re.match(r'\b\w+,\s*', sentence): + sentence = re.sub(r'\b\w+,\s*', '', sentence) + if sentence: + sentence = sentence[0].upper() + sentence[1:] + + if re.match(r'^\s*\w+!', sentence): + sentence = re.sub(r'^\w+!', '', sentence) + + if re.match(r'^\s*\w+\s\w+!', sentence): + sentence = re.sub(r'^\w+\s\w+!', '', sentence) + + if re.match(r"^\s*.*\b(here is|here are|here\'s a|here\'s an|here\'s the|here\'s)\b.*$", sentence, flags = re.IGNORECASE): + sentence = re.sub(r"^\s*.*\b(here is|here are|here\'s a|here\'s an|here\'s the|here\'s)\b.*$", "", sentence, flags = re.IGNORECASE) + + if re.match(r"^\s*.*\b(a sentence about|a paragraph about|like to know|I hope|AI-powered|be happy to help|can help you|)\b.*$", sentence, flags = re.IGNORECASE): + sentence = re.sub(r"^\s*.*\b(a sentence about|a paragraph about|like to know|I hope|AI-powered|be happy to help|can help you)\b.*$", "", sentence, flags=re.IGNORECASE) + + if re.match(r"^\s*.*\b(hypothetical|may contain|based on the context provided|based on the provided context)\b.*$", sentence, flags = re.IGNORECASE): + sentence = re.sub(r"^\s*.*\b(hypothetical|may contain|based on the context provided|based on the provided context)\b.*$", "", sentence, flags = re.IGNORECASE) + + emoji_pattern = re.compile("[" + u"\U0001F600-\U0001F64F" # emoticons + u"\U0001F300-\U0001F5FF" # symbols & pictographs + u"\U0001F680-\U0001F6FF" # transport & map symbols + u"\U0001F1E0-\U0001F1FF" # flags (iOS) + "]+", flags=re.UNICODE) + sentence = emoji_pattern.sub(r'', sentence) # no emoji + content_sentences[i] = sentence + + content = " ".join(content_sentences) + return content.strip() + +def capitalize_first_word(s): + words = s.split() + if words: + words[0] = words[0].capitalize() + return ' '.join(words) + return s + +def main(query, docs, documents): + # documents = [] + for file in os.listdir("docs"): + if file not in docs: + docs.append(file) + if file.endswith(".pdf"): + pdf_path = "./docs/" + file + loader = PyPDFLoader(pdf_path) + documents.extend(loader.load()) + print(f"Loaded pdf {pdf_path}") + elif file.endswith('.docx') or file.endswith('.doc'): + doc_path = "./docs/" + file + loader = Docx2txtLoader(doc_path) + documents.extend(loader.load()) + print(f"Loaded doc {doc_path}") + elif file.endswith('.txt'): + text_path = "./docs/" + file + loader = TextLoader(text_path) + documents.extend(loader.load()) + print(f"Loaded txt {text_path}") + elif file.endswith('.json'): + json_path = "./json/" + file + loader = JSONLoader(json_path) + documents.extend(loader.load()) + print(f"Loaded json {json_path}") + + text_splitter = RecursiveCharacterTextSplitter(chunk_size=250, chunk_overlap=0) + documents = text_splitter.split_documents(documents) + + # vectordb = Chroma.from_documents(documents, embedding=FastEmbedEmbeddings(), persist_directory="./data") + vectordb = Chroma.from_documents(documents, embedding=BertEmbeddings(), persist_directory="./data") + vectordb.persist() + + prompt_template = PromptTemplate.from_template( + """ + [INST] + You are DocuGen, specialized in creating realistic and detailed document content tailored to the needs of various professionals. + Use the following pieces of context to answer the question. + Focus on understanding the context and requirements of each request to generate content that is both relevant and informative. + Consider the role, industry, and purpose of the document while maintaining a professional and coherent tone. + Be adaptable, providing structured and concise content that directly addresses the user's query. + NEVER, NEVER talk about yourself, DocuGen or your company. + Don't talk about the thing you wrote, just stick to the topic. [/INST] + [INST] Prompt: {question} + Context: {context} + Answer: [/INST] + """ + ) + + pdf_qa = ConversationalRetrievalChain.from_llm( + ChatOllama(model="mistral", temperature=0.9), + vectordb.as_retriever(search_kwargs={"k": 3}), + return_source_documents=True, + verbose=False, + combine_docs_chain_kwargs={"prompt": prompt_template} + ) + + chat_history = [] + result = pdf_qa.invoke( + {"question": query, "chat_history": chat_history}) + filtered_response = filter_llm_response(result["answer"]) + chat_history.append((query, result["answer"])) + return filtered_response, docs, documents \ No newline at end of file diff --git a/src/ghosts.shadows/src/handlers/filters.py b/src/ghosts.shadows/src/handlers/filters.py new file mode 100644 index 00000000..5e176cea --- /dev/null +++ b/src/ghosts.shadows/src/handlers/filters.py @@ -0,0 +1,38 @@ +import os +import re + +def filter_llm_response(content): + content_sentences = re.split('([\:|\.|!|\?])', content) + content_sentences = [(content_sentences[i] + content_sentences[i+1]) for i in range(0, len(content_sentences)//2, 2)] + for i, sentence in enumerate(content_sentences): + if re.match(r'\b\w+,\s*', sentence): + sentence = re.sub(r'\b\w+,\s*', '', sentence) + if sentence: + sentence = sentence[0].upper() + sentence[1:] + + if re.match(r'^\s*\w+!', sentence): + sentence = re.sub(r'^\w+!', '', sentence) + + if re.match(r'^\s*\w+\s\w+!', sentence): + sentence = re.sub(r'^\w+\s\w+!', '', sentence) + + if re.match(r"^\s*.*\b(here is|here are|here's a|here's an|here's the|here's)\b.*$", sentence, flags=re.IGNORECASE): + sentence = re.sub(r"^\s*.*\b(here is|here are|here's a|here's an|here's the|here's)\b.*$", "", sentence, flags=re.IGNORECASE) + + if re.match(r"^\s*.*\b(a sentence about|a paragraph about|like to know|I hope|AI-powered|be happy to help|can help you|)\b.*$", sentence, flags=re.IGNORECASE): + sentence = re.sub(r"^\s*.*\b(a sentence about|a paragraph about|like to know|I hope|AI-powered|be happy to help|can help you)\b.*$", "", sentence, flags=re.IGNORECASE) + + if re.match(r"^\s*.*\b(hypothetical|may contain|based on the context provided|based on the provided context)\b.*$", sentence, flags=re.IGNORECASE): + sentence = re.sub(r"^\s*.*\b(hypothetical|may contain|based on the context provided|based on the provided context)\b.*$", "", sentence, flags=re.IGNORECASE) + + emoji_pattern = re.compile("[" + u"\U0001F600-\U0001F64F" # emoticons + u"\U0001F300-\U0001F5FF" # symbols & pictographs + u"\U0001F680-\U0001F6FF" # transport & map symbols + u"\U0001F1E0-\U0001F1FF" # flags (iOS) + "]+", flags=re.UNICODE) + sentence = emoji_pattern.sub(r'', sentence) # no emoji + content_sentences[i] = sentence + + content = " ".join(content_sentences) + return content.strip() diff --git a/src/ghosts.shadows/src/handlers/img_handler.py b/src/ghosts.shadows/src/handlers/img_handler.py new file mode 100644 index 00000000..d190036d --- /dev/null +++ b/src/ghosts.shadows/src/handlers/img_handler.py @@ -0,0 +1,10 @@ +from imaginairy.api import imagine +from imaginairy.schema import ImaginePrompt + +def main(prompt): + prompts = [ + ImaginePrompt(prompt), + ] + for result in imagine(prompts): + result.save("my_image.jpg") + return \ No newline at end of file diff --git a/src/ghosts.shadows/src/handlers/lessons_handler.py b/src/ghosts.shadows/src/handlers/lessons_handler.py new file mode 100644 index 00000000..0e62fb5e --- /dev/null +++ b/src/ghosts.shadows/src/handlers/lessons_handler.py @@ -0,0 +1,154 @@ +#! /usr/bin/env python3 + +import os +import pickle +import numpy as np + +from langchain.chains import ConversationalRetrievalChain +from langchain.memory import ConversationBufferMemory +from langchain.text_splitter import CharacterTextSplitter, RecursiveCharacterTextSplitter +from langchain.prompts import PromptTemplate + +from langchain_community.document_loaders import PyPDFLoader +from langchain_community.document_loaders import Docx2txtLoader +from langchain_community.document_loaders import TextLoader +from langchain_community.document_loaders import JSONLoader +from langchain_community.vectorstores import Chroma +import torch +from transformers import BertModel, BertTokenizer + +from langchain_community.chat_models import ChatOllama +from langchain_community.embeddings import FastEmbedEmbeddings + +from transformers import AutoModel, AutoTokenizer +from transformers import logging as hf_logging +from handlers.filters import filter_llm_response + +hf_logging.set_verbosity_error() +np.set_printoptions(edgeitems=3, infstr='inf', + linewidth=75, nanstr='nan', precision=8, + suppress=False, threshold=6, formatter=None) +os.environ['PYTHONHTTPSVERIFY'] = '0' + +class BertEmbeddings: + def __init__(self, model_name='bert-base-uncased', cache_dir='./data/bert'): + if torch.backends.mps.is_available(): + self.device = torch.device("mps") + print("MPS device found. Using GPU with MPS.") + else: + self.device = torch.device("cpu") + print("MPS device not found. Using CPU.") + + self.tokenizer = BertTokenizer.from_pretrained('bert-base-uncased') + self.model = BertModel.from_pretrained('bert-base-uncased').to(self.device) + + def get_embedding(self, text): + inputs = self.tokenizer(text, return_tensors='pt', max_length=512, truncation=True) + inputs = inputs.to(self.device) + with torch.no_grad(): + outputs = self.model(**inputs) + return outputs.last_hidden_state.mean(dim=1).detach().cpu().numpy() + + def embed_documents(self, documents): + embeddings = [] + for doc in documents: + inputs = self.tokenizer(doc, return_tensors='pt', max_length=512, truncation=True, padding='max_length') + inputs = inputs.to(self.device) + with torch.no_grad(): + outputs = self.model(**inputs) + doc_embedding = outputs.last_hidden_state.mean(dim=1) + doc_embedding_list = doc_embedding[0].detach().cpu().numpy().tolist() # Convert to list + embeddings.append(doc_embedding_list) + return embeddings + + def embed_query(self, query): + inputs = self.tokenizer(query, return_tensors='pt', max_length=512, truncation=True, padding='max_length') + inputs = inputs.to(self.device) + with torch.no_grad(): + outputs = self.model(**inputs) + query_embedding = outputs.last_hidden_state.mean(dim=1) + return query_embedding[0].detach().cpu().numpy().tolist() + +def capitalize_first_word(s): + words = s.split() + if words: + words[0] = words[0].capitalize() + return ' '.join(words) + return s + +def main(query, docs, documents): + vectordb_path = '../data/vectordb' + vectorized_docs_path = '../data/vectorized_docs.pkl' + + if os.path.exists(vectorized_docs_path): + vectordb = Chroma(persist_directory=vectordb_path, embedding_function=BertEmbeddings()) + with open(vectorized_docs_path, 'rb') as f: + documents = pickle.load(f) + print("Loaded vectorized documents and vector database from disk...") + else: + print("Vectorized documents not found. Vectorizing from disk...") + for file in os.listdir("./docs"): + if file not in docs: + try: + docs.append(file) + if file.endswith(".pdf"): + pdf_path = "./docs/" + file + loader = PyPDFLoader(pdf_path) + documents.extend(loader.load()) + print(f"Loaded pdf {pdf_path}") + elif file.endswith('.docx') or file.endswith('.doc'): + doc_path = "./docs/" + file + loader = Docx2txtLoader(doc_path) + documents.extend(loader.load()) + print(f"Loaded doc {doc_path}") + elif file.endswith('.txt'): + text_path = "./docs/" + file + loader = TextLoader(text_path) + documents.extend(loader.load()) + print(f"Loaded txt {text_path}") + elif file.endswith('.json'): + json_path = "./json/" + file + loader = JSONLoader(json_path) + documents.extend(loader.load()) + print(f"Loaded json {json_path}") + else: + print(f"Document found that does not have a loader {file}") + except Exception as e: + print(f"Error loading {file}: {e}") + + text_splitter = RecursiveCharacterTextSplitter(chunk_size=250, chunk_overlap=0) + documents = text_splitter.split_documents(documents) + + vectordb = Chroma.from_documents(documents, embedding=BertEmbeddings(), persist_directory="../data") + vectordb.persist() + + with open(vectorized_docs_path, 'wb') as f: + pickle.dump(documents, f) + print("Saved vectorized documents to disk.") + + prompt_template = PromptTemplate.from_template( + """ + [INST] + Embrace your role as a lesson plan or lesson module creator. + Based on the information provided, you must produce appropriate sub-topics of things to be taught, knowledge checks and tasks that a user should be able to do for the topic, hands-on lab concepts, and similar for the lesson. + Do NOT return anything but what I have asked. NO lengthy explanations into your reasoning please. + [/INST] + [INST] Prompt: {question} + Context: {context} + Answer: [/INST] + """ + ) + + pdf_qa = ConversationalRetrievalChain.from_llm( + ChatOllama(model="lessons", temperature=0.9), + vectordb.as_retriever(search_kwargs={"k": 3}), + return_source_documents=True, + verbose=False, + combine_docs_chain_kwargs={"prompt": prompt_template} + ) + + chat_history = [] + result = pdf_qa.invoke({"question": query, "chat_history": chat_history}) + filtered_response = filter_llm_response(result["answer"]) + chat_history.append((query, result["answer"])) + return filtered_response, docs, documents diff --git a/src/ghosts.shadows/src/readme.md b/src/ghosts.shadows/src/readme.md new file mode 100644 index 00000000..b83f7ede --- /dev/null +++ b/src/ghosts.shadows/src/readme.md @@ -0,0 +1,2 @@ +# GHOSTS SHADOWS + diff --git a/src/ghosts.shadows/src/requirements.txt b/src/ghosts.shadows/src/requirements.txt new file mode 100644 index 00000000..79362c78 --- /dev/null +++ b/src/ghosts.shadows/src/requirements.txt @@ -0,0 +1,18 @@ +Flask==3.0.2 +gradio==4.29.0 +imaginairy==14.2.0 +langchain==0.1.14 +langchain_community==0.0.31 +numpy==1.25.2 +Requests==2.31.0 +torch==2.1.0 +transformers==4.30.2 +docx2txt==0.8 +pypdf==4.1.0 +chromadb==0.4.24 +tqdm +pipdeptree +watchdog +python-jose +passlib +aiosqlite diff --git a/src/ghosts.shadows/src/templates/index.html b/src/ghosts.shadows/src/templates/index.html new file mode 100644 index 00000000..e74c9de9 --- /dev/null +++ b/src/ghosts.shadows/src/templates/index.html @@ -0,0 +1,22 @@ + + + + GHOSTS SHADOWS + + + + +

API for accessing NPC data from a locally-hosted LLM

+

Endpoints

+ +

A UI should be running on http://localhost:7860

+ + \ No newline at end of file diff --git a/src/ghosts.shadows/src/ui.py b/src/ghosts.shadows/src/ui.py new file mode 100644 index 00000000..671582a4 --- /dev/null +++ b/src/ghosts.shadows/src/ui.py @@ -0,0 +1,103 @@ +import gradio as gr +import requests +import os + +# URLs for authentication and shadows services, defaulting to local if environment variables are not set +auth_host = os.getenv("AUTH_URL", "http://0.0.0.0:8000") +shadows_host = os.getenv("SHADOWS_URL", "http://0.0.0.0:5900") + +# Variable to store the JWT token +token = None + +# Function to handle user login +def login(username, password): + global token + response = requests.post(f"{auth_host}/token", data={"username": username, "password": password}) + if response.status_code == 200: + token = response.json().get("access_token") + return "Login successful", True + else: + return f"Login failed: {response.json().get('detail', 'Unknown error')}", False + +# Function to handle user signup +def signup(username, password): + global token + response = requests.post(f"{auth_host}/signup", data={"username": username, "password": password}) + if response.status_code == 200: + token = response.json().get("access_token") + return "Signup successful", True + else: + return f"Signup failed: {response.json().get('detail', 'Unknown error')}", False + +# Function to query the API with the given input text and model +def query_api(input_text, model): + if not token: + return "Please log in to access." + headers = {"Authorization": f"Bearer {token}"} + response = requests.post(f"{shadows_host}/{model}", json={'query': input_text}, headers=headers) + return response.json() + +# CSS to hide the 'Clear' button +css = """ +button:contains('Clear') { + display: none !important; +} +""" + +# Available model options for querying the API +model_options = ["activity", "chat", "content", "social"] + +# Function to authenticate a user based on the authentication type (login or signup) +def authenticate(username, password, auth_type): + if auth_type == "login": + status, logged_in = login(username, password) + else: + status, logged_in = signup(username, password) + + return status, logged_in + +# Create Gradio interface for querying the API +ux_interface = gr.Interface( + fn=query_api, + inputs=[gr.Textbox(label="Query"), gr.Dropdown(label="Model", choices=model_options, value="content")], + outputs=gr.Textbox(label="Response"), + description=f"", + flagging_options=None, # This removes the flagging functionality + css=css # This applies the custom CSS to hide the Clear button +) + +# Create Gradio Blocks for the UI +with gr.Blocks(css=css) as demo: + with gr.Tab("Authenticate"): + with gr.Row(): + with gr.Column(scale=1): + gr.Image(value=f"{shadows_host}/assets/ghosts-shadows.png", width=350, height=350) + with gr.Column(scale=2): + username = gr.Textbox(label="Username") + password = gr.Textbox(label="Password", type="password") + auth_type = gr.Radio(["login", "signup"], label="New or existing User?") + status = gr.Textbox(label="Status", interactive=False) + + # Function to handle authentication and update the status + def handle_auth(username, password, auth_type): + status, logged_in = authenticate(username, password, auth_type) + return status, logged_in + + auth_output = gr.Button("Submit").click(handle_auth, inputs=[username, password, auth_type], outputs=[status]) + + with gr.Tab("Query API"): + # Function to query the API from the UI, ensuring the user is logged in + def query_api_ui(query_text, model_choice): + if token: + return query_api(query_text, model_choice) + else: + return "Please log in to access the Query API." + + query_text = gr.Textbox(label="Query") + model_choice = gr.Dropdown(label="Model", choices=model_options, value="content") + response = gr.Textbox(label="Response", interactive=False) + + query_output = gr.Button("Submit").click(query_api_ui, inputs=[query_text, model_choice], outputs=[response]) + +# Launch the Gradio app +demo.launch(share=False, server_name='0.0.0.0') diff --git a/src/ghosts.shadows/supervisord.conf b/src/ghosts.shadows/supervisord.conf new file mode 100644 index 00000000..160294c8 --- /dev/null +++ b/src/ghosts.shadows/supervisord.conf @@ -0,0 +1,29 @@ +[supervisord] +nodaemon=true + +[program:api] +command=python3 /usr/src/app/src/api.py +autostart=true +autorestart=true +stdout_logfile=/dev/stdout +stdout_logfile_maxbytes=0 +stderr_logfile=/dev/stderr +stderr_logfile_maxbytes=0 + +[program:ui] +command=python3 /usr/src/app/src/ui.py +autostart=true +autorestart=true +stdout_logfile=/dev/stdout +stdout_logfile_maxbytes=0 +stderr_logfile=/dev/stderr +stderr_logfile_maxbytes=0 + +[program:auth] +command=python3 /usr/src/app/src/auth.py +autostart=true +autorestart=true +stdout_logfile=/dev/stdout +stdout_logfile_maxbytes=0 +stderr_logfile=/dev/stderr +stderr_logfile_maxbytes=0 diff --git a/src/ghosts.ui/.dockerignore b/src/ghosts.ui/.dockerignore new file mode 100644 index 00000000..b7dce17b --- /dev/null +++ b/src/ghosts.ui/.dockerignore @@ -0,0 +1,3 @@ +node_modules/ +.next/ +sqlite.db \ No newline at end of file diff --git a/src/ghosts.ui/.eslintrc.json b/src/ghosts.ui/.eslintrc.json new file mode 100644 index 00000000..72cc705c --- /dev/null +++ b/src/ghosts.ui/.eslintrc.json @@ -0,0 +1,3 @@ +{ + "extends": "next/core-web-vitals" +} diff --git a/src/ghosts.ui/.gitignore b/src/ghosts.ui/.gitignore new file mode 100644 index 00000000..84f5c5d0 --- /dev/null +++ b/src/ghosts.ui/.gitignore @@ -0,0 +1,45 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js +.yarn/install-state.gz + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# local env files +.env*.local + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.tsbuildinfo + +#db +sqlite.db +localdb + + +# ghosts +_db +_g diff --git a/src/ghosts.ui/Dockerfile b/src/ghosts.ui/Dockerfile new file mode 100644 index 00000000..f7b8bcf7 --- /dev/null +++ b/src/ghosts.ui/Dockerfile @@ -0,0 +1,67 @@ +FROM node:20-alpine AS base + +# libc6-compat for nextjs. This is needed at runtime so its fine to have in the base container +RUN apk add --no-cache libc6-compat + + +# Stage for installing deps +FROM base AS deps +WORKDIR /app + +# Deps needed to build the Better-sqlite3 package. These only exist in the deps stage so no bloat in the final image +RUN apk add --no-cache python3 make gcc g++ + +COPY package.json package-lock.json ./ +RUN npm ci + +RUN npm install sharp + +# Stage for building the nextjs app +FROM base AS builder +WORKDIR /app +COPY --from=deps /app/node_modules ./node_modules +COPY . . + +RUN npm run build + +# Create SQLite database and correct tables +RUN npx drizzle-kit push:sqlite + + +# Final stage to run the app +FROM base AS runner + +RUN addgroup --system --gid 1001 nodejs +RUN adduser --system --uid 1001 nextjs + +# Make user the owner of the /app directory because SQLite needs to create journal files to function +RUN mkdir app +RUN chown -R nextjs app + +WORKDIR /app + +ENV NODE_ENV production + +# Set the correct permission for prerender cache +RUN mkdir .next +RUN chown nextjs:nodejs .next + +# Automatically leverage output traces to reduce image size +# https://nextjs.org/docs/advanced-features/output-file-tracing +COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./ +COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static +COPY --from=builder --chown=nextjs:nodejs /app/public ./public + +# Copy database file to runner and ensure that the nextjs user has write access +COPY --from=builder --chown=nextjs:nodejs /app/sqlite.db ./sqlite.db +RUN chmod 777 sqlite.db + +USER nextjs + +EXPOSE 8080 + +ENV PORT 8080 + +# server.js is created by next build from the standalone output +# https://nextjs.org/docs/pages/api-reference/next-config-js/output +CMD HOSTNAME="0.0.0.0" node server.js \ No newline at end of file diff --git a/src/ghosts.ui/README.md b/src/ghosts.ui/README.md new file mode 100644 index 00000000..adff6922 --- /dev/null +++ b/src/ghosts.ui/README.md @@ -0,0 +1,44 @@ +# GHOSTS UI + +A UI for the [GHOSTS](https://github.com/cmu-sei/GHOSTS) API implemented as a Next.js web app. + +## Overview + +The GHOSTS UI is a web application that provides a user interface for the GHOSTS API. The GHOSTS UI is implemented as a Next.js web app that is served by a Node.js server. The GHOSTS UI is a single page application that uses the GHOSTS API to interact with the GHOSTS backend. It provides support for the following features: + +- Machines +- Machine Groups +- TimeLines +- Npcs + +For any machine or machine group, we can use the UI to deploy new timelines, or view activities. For machine groups, we can create or manage the machines in the group. For timelines, we can view the activities in the timeline, or deploy new activities. It also provides a management interface for timelines as well. + +## Install + +An easy way to run the GHOSTS UI is to use Docker. The following is an example we would add to the ghosts `docker-compose.yml` file that will run the GHOSTS UI and the GHOSTS API together: + +```yaml +ghostsui: + image: dustinupdyke/ghosts-ui + container_name: ghosts-ui + ports: + - '8080:8080' + networks: + - ghosts-network + environment: + GHOSTS_API_URL: http://ghosts-api:5000 +``` + +## Documentation + +- [GHOSTS Documentation](https://cmu-sei.github.io/GHOSTS/) +- [Don't hesitate to submit issues and feature requests](https://github.com/cmu-sei/GHOSTS/issues) + +## Thanks + +Many thanks to the UI team for their hard work on this project. You know who you are — stay safe out there. + +## License + +[DISTRIBUTION STATEMENT A] This material has been approved for public release and unlimited distribution. +Copyright 2017 Carnegie Mellon University. All Rights Reserved. See LICENSE.md file for terms. diff --git a/src/ghosts.ui/biome.json b/src/ghosts.ui/biome.json new file mode 100644 index 00000000..6c46a02d --- /dev/null +++ b/src/ghosts.ui/biome.json @@ -0,0 +1,24 @@ +{ + "$schema": "https://biomejs.dev/schemas/1.7.0/schema.json", + "files": { + "ignore": [ + "node_modules/**", + ".next/**", + "src/components/ui/**", + "_db", + "_g" + ] + }, + "organizeImports": { + "enabled": true + }, + "linter": { + "enabled": true, + "rules": { + "recommended": true, + "correctness": { + "noUnusedImports": "warn" + } + } + } +} diff --git a/src/ghosts.ui/components.json b/src/ghosts.ui/components.json new file mode 100644 index 00000000..9c2da15d --- /dev/null +++ b/src/ghosts.ui/components.json @@ -0,0 +1,17 @@ +{ + "$schema": "https://ui.shadcn.com/schema.json", + "style": "default", + "rsc": true, + "tsx": true, + "tailwind": { + "config": "tailwind.config.ts", + "css": "src/app/globals.css", + "baseColor": "slate", + "cssVariables": true, + "prefix": "" + }, + "aliases": { + "components": "@/components", + "utils": "@/lib/utils" + } +} diff --git a/src/ghosts.ui/docker-compose.yml b/src/ghosts.ui/docker-compose.yml new file mode 100644 index 00000000..57b92612 --- /dev/null +++ b/src/ghosts.ui/docker-compose.yml @@ -0,0 +1,69 @@ +# docker-compose up -d +# -f compose-api.yml (if you want a custom file) + +version: '3.2' +networks: + ghosts-network: + driver: bridge +services: + # Service for the ui + ghostsui: + image: dustinupdyke/ghosts-ui + container_name: ghosts-ui + ports: + - '8080:8080' + networks: + - ghosts-network + environment: + GHOSTS_API_URL: http://ghosts-api:5000 + # persist the timelines in the sqlite db + # volumes: + # - ./sqlite.db:/app/sqlite.db + # From here on this is the basic GHOSTS docker compose + # postgres: + # image: postgres + # container_name: ghosts-postgres + # environment: + # POSTGRES_DB: ghosts + # POSTGRES_USER: ghosts + # POSTGRES_PASSWORD: scotty@1 + # volumes: + # - ./_db:/var/lib/postgresql/data + # logging: + # options: + # max-size: '100m' + # max-file: '5' + # ports: + # - '5432:5432' + # healthcheck: + # test: ['CMD-SHELL', 'pg_isready -U ghosts'] + # interval: 10s + # timeout: 5s + # retries: 10 + # networks: + # - ghosts-network + # restart: always + # ghosts-api: + # image: dustinupdyke/ghosts:latest + # container_name: ghosts-api + # depends_on: + # - postgres + # ports: + # - '5000:5000' + # networks: + # - ghosts-network + # restart: always + # grafana: + # image: grafana/grafana + # container_name: ghosts-grafana + # depends_on: + # - postgres + # ports: + # - '3000:3000' + # networks: + # - ghosts-network + # restart: always + # volumes: + # - ./_g:/var/lib/grafana + # user: root + \ No newline at end of file diff --git a/src/ghosts.ui/drizzle.config.ts b/src/ghosts.ui/drizzle.config.ts new file mode 100644 index 00000000..b144593e --- /dev/null +++ b/src/ghosts.ui/drizzle.config.ts @@ -0,0 +1,10 @@ +import { DB_URL } from "@/lib/db"; +import { defineConfig } from "drizzle-kit"; + +export default defineConfig({ + schema: "./src/lib/db.ts", + driver: "better-sqlite", + dbCredentials: { + url: DB_URL, + }, +}); diff --git a/src/ghosts.ui/next-env.d.ts b/src/ghosts.ui/next-env.d.ts new file mode 100644 index 00000000..4f11a03d --- /dev/null +++ b/src/ghosts.ui/next-env.d.ts @@ -0,0 +1,5 @@ +/// +/// + +// NOTE: This file should not be edited +// see https://nextjs.org/docs/basic-features/typescript for more information. diff --git a/src/ghosts.ui/next.config.mjs b/src/ghosts.ui/next.config.mjs new file mode 100644 index 00000000..72ff9cba --- /dev/null +++ b/src/ghosts.ui/next.config.mjs @@ -0,0 +1,7 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + // Export as a standalone nodejs server for use within a Docker container + output: "standalone", +}; + +export default nextConfig; diff --git a/src/ghosts.ui/package-lock.json b/src/ghosts.ui/package-lock.json new file mode 100644 index 00000000..eb0ab0ac --- /dev/null +++ b/src/ghosts.ui/package-lock.json @@ -0,0 +1,9291 @@ +{ + "name": "ghostsui", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "ghostsui", + "version": "0.1.0", + "license": "ISC", + "dependencies": { + "@hookform/resolvers": "^3.3.4", + "@radix-ui/react-accordion": "^1.1.2", + "@radix-ui/react-checkbox": "^1.0.4", + "@radix-ui/react-dialog": "^1.0.5", + "@radix-ui/react-dropdown-menu": "^2.0.6", + "@radix-ui/react-label": "^2.0.2", + "@radix-ui/react-popover": "^1.0.7", + "@radix-ui/react-radio-group": "^1.1.3", + "@radix-ui/react-select": "^2.0.0", + "@radix-ui/react-separator": "^1.0.3", + "@radix-ui/react-slot": "^1.0.2", + "@radix-ui/react-switch": "^1.0.3", + "@radix-ui/react-tabs": "^1.0.4", + "@radix-ui/react-toast": "^1.1.5", + "@radix-ui/react-toggle": "^1.0.3", + "@radix-ui/react-tooltip": "^1.0.7", + "@tanstack/react-table": "^8.16.0", + "better-sqlite3": "^9.5.0", + "class-variance-authority": "^0.7.0", + "clsx": "^2.1.0", 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"type": "module", + "scripts": { + "dev": "next dev", + "build": "next build", + "start": "next start", + "lint": "next lint" + }, + "dependencies": { + "@hookform/resolvers": "^3.3.4", + "@radix-ui/react-accordion": "^1.1.2", + "@radix-ui/react-checkbox": "^1.0.4", + "@radix-ui/react-dialog": "^1.0.5", + "@radix-ui/react-dropdown-menu": "^2.0.6", + "@radix-ui/react-label": "^2.0.2", + "@radix-ui/react-popover": "^1.0.7", + "@radix-ui/react-radio-group": "^1.1.3", + "@radix-ui/react-select": "^2.0.0", + "@radix-ui/react-separator": "^1.0.3", + "@radix-ui/react-slot": "^1.0.2", + "@radix-ui/react-switch": "^1.0.3", + "@radix-ui/react-tabs": "^1.0.4", + "@radix-ui/react-toast": "^1.1.5", + "@radix-ui/react-toggle": "^1.0.3", + "@radix-ui/react-tooltip": "^1.0.7", + "@tanstack/react-table": "^8.16.0", + "better-sqlite3": "^9.5.0", + "class-variance-authority": "^0.7.0", + "clsx": "^2.1.0", + "date-fns": "^3.6.0", + "drizzle-orm": "^0.30.8", + "lucide-react": "^0.368.0", + "next": "^14.2.1", + "next-themes": "^0.3.0", + "react": "^18", + "react-day-picker": "^8.10.1", + "react-dom": "^18", + "react-hook-form": "^7.51.3", + "tailwind-merge": "^2.2.2", + "tailwindcss-animate": "^1.0.7", + "vaul": "^0.9.0", + "zod": "3.22.4" + }, + "devDependencies": { + "@biomejs/biome": "1.7.0", + "@types/better-sqlite3": "^7.6.9", + "@types/node": "^20", + "@types/react": "^18", + "@types/react-dom": "^18", + "drizzle-kit": "^0.20.14", + "eslint": "^8", + "eslint-config-next": "14.2.1", + "openapi-zod-client": "^1.18.0", + "postcss": "^8", + "tailwindcss": "^3.4.1", + "typescript": "^5" + }, + "description": "A UI for [GHOSTS](https://github.com/cmu-sei/GHOSTS) implemented as a Next.js web app.", + "main": "server.js", + "author": "", + "license": "ISC" +} diff --git a/src/ghosts.ui/postcss.config.mjs b/src/ghosts.ui/postcss.config.mjs new file mode 100644 index 00000000..f6c3605a --- /dev/null +++ b/src/ghosts.ui/postcss.config.mjs @@ -0,0 +1,8 @@ +/** @type {import('postcss-load-config').Config} */ +const config = { + plugins: { + tailwindcss: {}, + }, +}; + +export default config; diff --git a/src/ghosts.ui/public/logo.png b/src/ghosts.ui/public/logo.png new file mode 100644 index 00000000..09d4ec00 Binary files /dev/null and b/src/ghosts.ui/public/logo.png differ diff --git a/src/ghosts.ui/src/app/global-error.tsx b/src/ghosts.ui/src/app/global-error.tsx new file mode 100644 index 00000000..a3aaba27 --- /dev/null +++ b/src/ghosts.ui/src/app/global-error.tsx @@ -0,0 +1,37 @@ +"use client"; + +import { + Accordion, + AccordionContent, + AccordionItem, + AccordionTrigger, +} from "@/components/ui/accordion"; +import { Button } from "@/components/ui/button"; + +/** + * Next.js default error component + */ +export default function ErrorPage({ + error, + reset, +}: { + error: Error & { digest?: string }; + reset: () => void; +}) { + return ( + <> +

Something went wrong!

+ + + Details + +

{error.message}

+ + + + + + ); +} diff --git a/src/ghosts.ui/src/app/globals.css b/src/ghosts.ui/src/app/globals.css new file mode 100644 index 00000000..b0e6fff5 --- /dev/null +++ b/src/ghosts.ui/src/app/globals.css @@ -0,0 +1,76 @@ +@tailwind base; + @tailwind components; + @tailwind utilities; + + @layer base { + :root { + --background: 0 0% 100%; + --foreground: 222.2 84% 4.9%; + + --card: 0 0% 100%; + --card-foreground: 222.2 84% 4.9%; + + --popover: 0 0% 100%; + --popover-foreground: 222.2 84% 4.9%; + + --primary: 222.2 47.4% 11.2%; + --primary-foreground: 210 40% 98%; + + --secondary: 210 40% 96.1%; + --secondary-foreground: 222.2 47.4% 11.2%; + + --muted: 210 40% 96.1%; + --muted-foreground: 215.4 16.3% 46.9%; + + --accent: 210 40% 96.1%; + --accent-foreground: 222.2 47.4% 11.2%; + + --destructive: 0 84.2% 60.2%; + --destructive-foreground: 210 40% 98%; + + --border: 214.3 31.8% 91.4%; + --input: 214.3 31.8% 91.4%; + --ring: 222.2 84% 4.9%; + + --radius: 0.5rem; + } + + .dark { + --background: 222.2 84% 4.9%; + --foreground: 210 40% 98%; + + --card: 222.2 84% 4.9%; + --card-foreground: 210 40% 98%; + + --popover: 222.2 84% 4.9%; + --popover-foreground: 210 40% 98%; + + --primary: 210 40% 98%; + --primary-foreground: 222.2 47.4% 11.2%; + + --secondary: 217.2 32.6% 17.5%; + --secondary-foreground: 210 40% 98%; + + --muted: 217.2 32.6% 17.5%; + --muted-foreground: 215 20.2% 65.1%; + + --accent: 217.2 32.6% 17.5%; + --accent-foreground: 210 40% 98%; + + --destructive: 0 62.8% 30.6%; + --destructive-foreground: 210 40% 98%; + + --border: 217.2 32.6% 17.5%; + --input: 217.2 32.6% 17.5%; + --ring: 212.7 26.8% 83.9%; + } + } + + @layer base { + * { + @apply border-border; + } + body { + @apply bg-background text-foreground; + } + } \ No newline at end of file diff --git a/src/ghosts.ui/src/app/layout.tsx b/src/ghosts.ui/src/app/layout.tsx new file mode 100644 index 00000000..f6e8711e --- /dev/null +++ b/src/ghosts.ui/src/app/layout.tsx @@ -0,0 +1,44 @@ +import { ThemeProvider } from "@/components/theme-provider"; +import { ThemeToggle } from "@/components/theme-toggle"; +import { Toaster } from "@/components/ui/toaster"; +import { Inter } from "next/font/google"; +import Link from "next/link"; +import "./globals.css"; +import Image from "next/image"; +import GLogo from "../../public/logo.png"; + +const inter = Inter({ subsets: ["latin"] }); + +export const dynamic = "force-dynamic"; + +export default function RootLayout({ + children, +}: Readonly<{ + children: React.ReactNode; +}>) { + return ( + + + + +
+ {children} +
+ + + + + ); +} diff --git a/src/ghosts.ui/src/app/machine-groups/activity/[machineGroupId]/page.tsx b/src/ghosts.ui/src/app/machine-groups/activity/[machineGroupId]/page.tsx new file mode 100644 index 00000000..6b0fb69a --- /dev/null +++ b/src/ghosts.ui/src/app/machine-groups/activity/[machineGroupId]/page.tsx @@ -0,0 +1,29 @@ +import { ActivitySheet } from "@/components/activity-sheet"; +import { SheetWrapper } from "@/components/sheet-wrapper"; +import { api } from "@/generated/endpoints"; +import { getSortedActivity } from "@/lib/server-utils"; + +export default async function Page({ + params: { machineGroupId }, + searchParams, +}: { params: { machineGroupId: string }; searchParams: unknown }) { + const id = Number.parseInt(machineGroupId); + const sortedActivity = await getSortedActivity( + api.getApimachinegroupsIdactivity, + id, + searchParams, + `/machine-groups/activity/${machineGroupId}?skip=0&take=50`, + ); + + const machineGroup = await api.getApimachinegroupsId({ params: { id } }); + const allMachines = await api.getApimachines(); + return ( + + + + ); +} diff --git a/src/ghosts.ui/src/app/machine-groups/column-helpers.tsx b/src/ghosts.ui/src/app/machine-groups/column-helpers.tsx new file mode 100644 index 00000000..ec10994f --- /dev/null +++ b/src/ghosts.ui/src/app/machine-groups/column-helpers.tsx @@ -0,0 +1,156 @@ +"use client"; + +import { DataTableMoreMenu } from "@/components/data-table"; +import { Button } from "@/components/ui/button"; +import { + DropdownMenu, + DropdownMenuContent, + DropdownMenuItem, + DropdownMenuLabel, + DropdownMenuTrigger, +} from "@/components/ui/dropdown-menu"; +import { type GroupType, type MachineType, api } from "@/generated/endpoints"; +import Link from "next/link"; +import { useRouter } from "next/navigation"; +import type { PropsWithChildren } from "react"; + +function MachinesDrowpdown({ + children, + triggerText, + dropdownDesc, +}: { + triggerText: string; + dropdownDesc: string; +} & PropsWithChildren) { + return ( + + + + + + {dropdownDesc} + {children} + + + ); +} + +export function MachineGroupMachines({ + machineGroup, +}: { + machineGroup: GroupType; +}) { + const machines = machineGroup.machines ?? []; + const router = useRouter(); + + return ( + + {machines.map((machine) => { + return ( + { + const groupMachinesWithoutDeleted = machines + .filter((m) => m.id !== machine.id) + .map((machine2) => ({ + groupId: machineGroup.id, + machineId: machine2.id, + })); + await api.putApimachinegroupsId( + { + id: machineGroup.id, + name: machineGroup.name, + groupMachines: groupMachinesWithoutDeleted, + }, + { params: { id: machineGroup.id?.toString() ?? "" } }, + ); + router.refresh(); + }} + > + {machine.name} + + ); + })} + + ); +} + +export function MachineGroupAddMachines({ + machineGroup, + allMachines, +}: { machineGroup: GroupType; allMachines: MachineType[] }) { + const router = useRouter(); + + const machinesNotInMachineGroup = allMachines.filter( + (machine) => + !machineGroup.machines?.find((machine2) => machine2.id === machine.id), + ); + const currentGroupMachines = (machineGroup.machines ?? []).map((machine) => ({ + groupId: machineGroup.id, + machineId: machine.id, + })); + + return ( + + {machinesNotInMachineGroup.map((machine) => ( + { + await api.putApimachinegroupsId( + { + id: machineGroup.id, + name: machineGroup.name, + groupMachines: [ + ...currentGroupMachines, + { groupId: machineGroup.id, machineId: machine.id }, + ], + }, + { + params: { id: machineGroup.id?.toString() ?? "" }, + }, + ); + router.refresh(); + }} + > + {machine.name} + + ))} + + ); +} + +export function MachineGroupOptions({ + machineGroup, +}: { machineGroup: GroupType }) { + const router = useRouter(); + return ( + + { + await api.deleteApimachinegroupsId(undefined, { + params: { id: machineGroup.id ?? 0 }, + }); + router.refresh(); + }} + > + Delete + + + + Run timeLine + + + + + View activity + + + + ); +} diff --git a/src/ghosts.ui/src/app/machine-groups/layout.tsx b/src/ghosts.ui/src/app/machine-groups/layout.tsx new file mode 100644 index 00000000..337368e4 --- /dev/null +++ b/src/ghosts.ui/src/app/machine-groups/layout.tsx @@ -0,0 +1,26 @@ +import { H1 } from "@/components/text"; +import { MachineGroupTable } from "./machine-group-table"; + +import { Button } from "@/components/ui/button"; +import { api } from "@/generated/endpoints"; +import Link from "next/link"; +import type React from "react"; + +export default async function Page({ + children, +}: { children: React.ReactNode }) { + const machines = await api.getApimachines(); + const machineGroups = await api.getApimachinegroups(); + return ( + <> +

Machine groups

+
+ +
+ + {children} + + ); +} diff --git a/src/ghosts.ui/src/app/machine-groups/machine-group-table.tsx b/src/ghosts.ui/src/app/machine-groups/machine-group-table.tsx new file mode 100644 index 00000000..3c1598cc --- /dev/null +++ b/src/ghosts.ui/src/app/machine-groups/machine-group-table.tsx @@ -0,0 +1,52 @@ +"use client"; + +import { DataTable } from "@/components/data-table"; +import type { GroupType, MachineType } from "@/generated/endpoints"; +import type { ColumnDef } from "@tanstack/react-table"; +import { + MachineGroupAddMachines, + MachineGroupMachines, + MachineGroupOptions, +} from "./column-helpers"; + +export function MachineGroupTable({ + allMachines, + machineGroups, +}: { allMachines: MachineType[]; machineGroups: GroupType[] }) { + const machineGroupColumns: ColumnDef[] = [ + { + accessorKey: "id", + header: "Id", + }, + { + accessorKey: "name", + header: "Name", + }, + { + header: "Machines", + cell: ({ row: { original } }) => ( + + ), + }, + { + header: "Add machines", + cell: ({ row: { original } }) => ( + + ), + }, + { + header: "More", + cell: ({ row: { original } }) => ( + + ), + }, + ]; + return ( + <> + + + ); +} diff --git a/src/ghosts.ui/src/app/machine-groups/new/machine-group-form.tsx b/src/ghosts.ui/src/app/machine-groups/new/machine-group-form.tsx new file mode 100644 index 00000000..1f880e23 --- /dev/null +++ b/src/ghosts.ui/src/app/machine-groups/new/machine-group-form.tsx @@ -0,0 +1,36 @@ +"use client"; + +import { FormInput } from "@/components/input"; +import { Button } from "@/components/ui/button"; +import { Form } from "@/components/ui/form"; +import { api } from "@/generated/endpoints"; +import { useApiCall } from "@/lib/utils"; +import { type NewGroup, newGroupSchema } from "@/lib/validation"; +import { zodResolver } from "@hookform/resolvers/zod"; +import { useRouter } from "next/navigation"; +import { useForm } from "react-hook-form"; + +export function MachineGroupForm() { + const router = useRouter(); + const form = useForm({ + resolver: zodResolver(newGroupSchema), + }); + const call = useApiCall(); + return ( +
+ { + await call( + api.postApimachinegroups({ id: 0, ...data }), + "Created new machine group", + ); + router.push("/machine-groups"); + router.refresh(); + })} + > + + + + + ); +} diff --git a/src/ghosts.ui/src/app/machine-groups/new/page.tsx b/src/ghosts.ui/src/app/machine-groups/new/page.tsx new file mode 100644 index 00000000..c11d80f3 --- /dev/null +++ b/src/ghosts.ui/src/app/machine-groups/new/page.tsx @@ -0,0 +1,10 @@ +import { SheetWrapper } from "@/components/sheet-wrapper"; +import { MachineGroupForm } from "./machine-group-form"; + +export default function Page() { + return ( + + + + ); +} diff --git a/src/ghosts.ui/src/app/machine-groups/page.tsx b/src/ghosts.ui/src/app/machine-groups/page.tsx new file mode 100644 index 00000000..b454a79b --- /dev/null +++ b/src/ghosts.ui/src/app/machine-groups/page.tsx @@ -0,0 +1 @@ +export default function Page() {} diff --git a/src/ghosts.ui/src/app/machine-groups/run-timeline/[machineGroupId]/page.tsx b/src/ghosts.ui/src/app/machine-groups/run-timeline/[machineGroupId]/page.tsx new file mode 100644 index 00000000..437b03b5 --- /dev/null +++ b/src/ghosts.ui/src/app/machine-groups/run-timeline/[machineGroupId]/page.tsx @@ -0,0 +1,23 @@ +import { SheetWrapper } from "@/components/sheet-wrapper"; +import { TimeLineRunner } from "@/components/timeline-runner"; +import { api } from "@/generated/endpoints"; +import { db, timeLinesTable } from "@/lib/db"; + +export default async function Page({ + params: { machineGroupId }, +}: { params: { machineGroupId: string } }) { + const machineGroup = await api.getApimachinegroupsId({ + params: { id: Number.parseInt(machineGroupId) }, + }); + const timeLines = await db.select().from(timeLinesTable); + + return ( + + + + ); +} diff --git a/src/ghosts.ui/src/app/machines/activity/[machineId]/page.tsx b/src/ghosts.ui/src/app/machines/activity/[machineId]/page.tsx new file mode 100644 index 00000000..9c43097d --- /dev/null +++ b/src/ghosts.ui/src/app/machines/activity/[machineId]/page.tsx @@ -0,0 +1,30 @@ +import { ActivitySheet } from "@/components/activity-sheet"; +import { SheetWrapper } from "@/components/sheet-wrapper"; +import { api } from "@/generated/endpoints"; +import { getSortedActivity } from "@/lib/server-utils"; +import { notFound } from "next/navigation"; + +export default async function Page({ + params: { machineId: id }, + searchParams, +}: { params: { machineId: string }; searchParams: unknown }) { + const sortedActivity = await getSortedActivity( + api.getApimachinesIdactivity, + id, + searchParams, + `/machines/activity/${id}?skip=0&take=50`, + ); + const allMachines = await api.getApimachines(); + const machine = allMachines.find((machine) => machine.id === id); + + if (!machine) notFound(); + return ( + + + + ); +} diff --git a/src/ghosts.ui/src/app/machines/layout.tsx b/src/ghosts.ui/src/app/machines/layout.tsx new file mode 100644 index 00000000..c8097634 --- /dev/null +++ b/src/ghosts.ui/src/app/machines/layout.tsx @@ -0,0 +1,26 @@ +import { H1 } from "@/components/text"; +import { Button } from "@/components/ui/button"; +import { api } from "@/generated/endpoints"; +import { db, timeLinesTable } from "@/lib/db"; +import Link from "next/link"; +import type React from "react"; +import { MachineTable } from "./machine-table"; + +export default async function Layout({ + children, +}: { children: React.ReactNode }) { + const machines = await api.getApimachines(); + const timeLines = await db.select().from(timeLinesTable); + return ( + <> +

Machines

+
+ +
+ + {children} + + ); +} diff --git a/src/ghosts.ui/src/app/machines/machine-table.tsx b/src/ghosts.ui/src/app/machines/machine-table.tsx new file mode 100644 index 00000000..ced70324 --- /dev/null +++ b/src/ghosts.ui/src/app/machines/machine-table.tsx @@ -0,0 +1,69 @@ +"use client"; + +import { DataTable, DataTableMoreMenu } from "@/components/data-table"; +import { Badge } from "@/components/ui/badge"; +import { DropdownMenuItem } from "@/components/ui/dropdown-menu"; +import { type MachineType, api } from "@/generated/endpoints"; +import type { ColumnDef } from "@tanstack/react-table"; +import Link from "next/link"; +import { useRouter } from "next/navigation"; + +export function MachineTable({ machines }: { machines: MachineType[] }) { + const machineColumns: ColumnDef[] = [ + { + accessorKey: "id", + header: "Id", + }, + { + accessorKey: "name", + header: "Name", + }, + { + header: "Status", + cell: ({ row: { original } }) => { + const status = original.statusUp; + + let bg = "bg-green-500"; + switch (status) { + case "Down": + case "DownWithErrors": + bg = "bg-red-500"; + break; + case "Unknown": + case "UpWithErrors": + bg = "bg-orange-500"; + } + return {status}; + }, + }, + { + header: "More", + cell: ({ row: { original } }) => , + }, + ]; + return ; +} + +function MachineOptions({ machine }: { machine: MachineType }) { + const router = useRouter(); + return ( + + { + await api.deleteApimachinesId(undefined, { + params: { id: machine.id ?? "" }, + }); + router.refresh(); + }} + > + Delete + + + Run timeLine + + + View activity + + + ); +} diff --git a/src/ghosts.ui/src/app/machines/new/machine-form.tsx b/src/ghosts.ui/src/app/machines/new/machine-form.tsx new file mode 100644 index 00000000..62784a6e --- /dev/null +++ b/src/ghosts.ui/src/app/machines/new/machine-form.tsx @@ -0,0 +1,33 @@ +"use client"; + +import { FormInput } from "@/components/input"; +import { Button } from "@/components/ui/button"; +import { Form } from "@/components/ui/form"; +import { api } from "@/generated/endpoints"; +import { useApiCall } from "@/lib/utils"; +import { type NewMachine, newMachineSchema } from "@/lib/validation"; +import { zodResolver } from "@hookform/resolvers/zod"; +import { useRouter } from "next/navigation"; +import { useForm } from "react-hook-form"; + +export function MachineForm() { + const router = useRouter(); + const form = useForm({ + resolver: zodResolver(newMachineSchema), + }); + const call = useApiCall(); + return ( +
+ { + await call(api.postApimachines(data), "Created new machine"); + router.push("/machines"); + router.refresh(); + })} + > + + + + + ); +} diff --git a/src/ghosts.ui/src/app/machines/new/page.tsx b/src/ghosts.ui/src/app/machines/new/page.tsx new file mode 100644 index 00000000..ec3c2859 --- /dev/null +++ b/src/ghosts.ui/src/app/machines/new/page.tsx @@ -0,0 +1,10 @@ +import { SheetWrapper } from "@/components/sheet-wrapper"; +import { MachineForm } from "./machine-form"; + +export default function Page() { + return ( + + + + ); +} diff --git a/src/ghosts.ui/src/app/machines/page.tsx b/src/ghosts.ui/src/app/machines/page.tsx new file mode 100644 index 00000000..b454a79b --- /dev/null +++ b/src/ghosts.ui/src/app/machines/page.tsx @@ -0,0 +1 @@ +export default function Page() {} diff --git a/src/ghosts.ui/src/app/machines/run-timeline/[machineId]/page.tsx b/src/ghosts.ui/src/app/machines/run-timeline/[machineId]/page.tsx new file mode 100644 index 00000000..debd6d63 --- /dev/null +++ b/src/ghosts.ui/src/app/machines/run-timeline/[machineId]/page.tsx @@ -0,0 +1,20 @@ +import { SheetWrapper } from "@/components/sheet-wrapper"; +import { TimeLineRunner } from "@/components/timeline-runner"; +import { api } from "@/generated/endpoints"; +import { db, timeLinesTable } from "@/lib/db"; + +export default async function Page({ + params: { machineId }, +}: { params: { machineId: string } }) { + const machine = await api.getApimachinesId({ params: { id: machineId } }); + const timeLines = await db.select().from(timeLinesTable); + return ( + + + + ); +} diff --git a/src/ghosts.ui/src/app/npcs/generate/npc-generator.tsx b/src/ghosts.ui/src/app/npcs/generate/npc-generator.tsx new file mode 100644 index 00000000..0073d414 --- /dev/null +++ b/src/ghosts.ui/src/app/npcs/generate/npc-generator.tsx @@ -0,0 +1,106 @@ +"use client"; + +import { FormInput } from "@/components/input"; +import { Button } from "@/components/ui/button"; +import { Form } from "@/components/ui/form"; +import { Separator } from "@/components/ui/separator"; +import { api } from "@/generated/endpoints"; +import { useApiCall } from "@/lib/utils"; +import { zodResolver } from "@hookform/resolvers/zod"; +import { useRouter } from "next/navigation"; +import { useForm } from "react-hook-form"; +import { z } from "zod"; + +export function NpcGenerator() { + const router = useRouter(); + + const call = useApiCall(); + + return ( + <> + + + + + ); +} + +function GenerateNpcsForm() { + const generateNpcsSchema = z.object({ + campaign: z.string(), + enclave: z.string(), + team: z.string(), + count: z.number().int(), + }); + + type GenerateNpcs = z.infer; + + const generateNpcsForm = useForm({ + resolver: zodResolver(generateNpcsSchema), + }); + + const router = useRouter(); + const call = useApiCall(); + + async function generateNpcsForCampaignEnclaveTeam(data: GenerateNpcs) { + await call( + api.postApinpcsgenerate({ + campaign: data.campaign, + enclaves: [ + { + name: data.enclave, + teams: [ + { + name: data.team, + npcs: { + number: data.count, + }, + }, + ], + }, + ], + }), + `Generated ${data.count} NPC's`, + ); + router.push("/npcs"); + router.refresh(); + } + + return ( +
+ + + + + + + + + + ); +} diff --git a/src/ghosts.ui/src/app/npcs/generate/page.tsx b/src/ghosts.ui/src/app/npcs/generate/page.tsx new file mode 100644 index 00000000..c4a5e6fa --- /dev/null +++ b/src/ghosts.ui/src/app/npcs/generate/page.tsx @@ -0,0 +1,10 @@ +import { SheetWrapper } from "@/components/sheet-wrapper"; +import { NpcGenerator } from "./npc-generator"; + +export default function Page() { + return ( + + + + ); +} diff --git a/src/ghosts.ui/src/app/npcs/layout.tsx b/src/ghosts.ui/src/app/npcs/layout.tsx new file mode 100644 index 00000000..5211c849 --- /dev/null +++ b/src/ghosts.ui/src/app/npcs/layout.tsx @@ -0,0 +1,29 @@ +import { H1 } from "@/components/text"; +import { Button } from "@/components/ui/button"; +import { api } from "@/generated/endpoints"; +import Link from "next/link"; +import type React from "react"; +import { NpcTable } from "./npc-table"; + +export default async function Layout({ + children, +}: { children: React.ReactNode }) { + const npcs = await api.getApinpcs(); + const machines = await api.getApimachines(); + + return ( + <> +

Npcs

+
+ + +
+ + {children} + + ); +} diff --git a/src/ghosts.ui/src/app/npcs/manual/npc-form.tsx b/src/ghosts.ui/src/app/npcs/manual/npc-form.tsx new file mode 100644 index 00000000..8fcf0d9e --- /dev/null +++ b/src/ghosts.ui/src/app/npcs/manual/npc-form.tsx @@ -0,0 +1,39 @@ +"use client"; + +import { JSONImporter } from "@/components/json-utils"; +import AutoForm, { AutoFormSubmit } from "@/components/ui/auto-form"; +import { api, schemas } from "@/generated/endpoints"; +import { useApiCall } from "@/lib/utils"; +import { useRouter } from "next/navigation"; +import { useState } from "react"; +import type { z } from "zod"; + +/** + * This form is autogenerated using @see https://github.com/vantezzen/auto-form + * The NPC object has so many fields, manually creating a form is unreasonable. + */ +export function NpcForm() { + const router = useRouter(); + const [values, setValues] = useState>({}); + const call = useApiCall(); + return ( + <> + setValues(data)} + /> + { + await call(api.postApinpcs(data), "Created NPC"); + router.push("/npcs"); + router.refresh(); + }} + > + Create + + + ); +} diff --git a/src/ghosts.ui/src/app/npcs/manual/page.tsx b/src/ghosts.ui/src/app/npcs/manual/page.tsx new file mode 100644 index 00000000..e59892f0 --- /dev/null +++ b/src/ghosts.ui/src/app/npcs/manual/page.tsx @@ -0,0 +1,10 @@ +import { SheetWrapper } from "@/components/sheet-wrapper"; +import { NpcForm } from "./npc-form"; + +export default function Page() { + return ( + + + + ); +} diff --git a/src/ghosts.ui/src/app/npcs/npc-table.tsx b/src/ghosts.ui/src/app/npcs/npc-table.tsx new file mode 100644 index 00000000..b1928f85 --- /dev/null +++ b/src/ghosts.ui/src/app/npcs/npc-table.tsx @@ -0,0 +1,74 @@ +"use client"; + +import { DataTable, DataTableMoreMenu } from "@/components/data-table"; +import { DropdownMenuItem } from "@/components/ui/dropdown-menu"; +import { type MachineType, api, type schemas } from "@/generated/endpoints"; +import type { ColumnDef } from "@tanstack/react-table"; +import { useRouter } from "next/navigation"; +import type { z } from "zod"; + +export function NpcTable({ + npcs, + machines, +}: { npcs: NPC[]; machines: MachineType[] }) { + const npcColumns: ColumnDef[] = [ + { + header: "Id", + accessorFn: (npc) => { + const id = npc.id; + if (id) return id; + + return "No id"; + }, + }, + { + header: "First name", + accessorFn: (npc) => npc.npcProfile?.name?.first, + filterFn: "equalsString", + }, + { + header: "Machine", + accessorFn: (npc) => + machines.find((machine) => npc.machineId === machine.id)?.name, + }, + { + header: "Campaign", + accessorKey: "campaign", + }, + { + header: "Enclave", + accessorKey: "enclave", + }, + { + header: "Team", + accessorKey: "team", + }, + { + header: "More", + cell: ({ row: { original } }) => , + }, + ]; + + return ; +} + +export type NPC = z.infer; + +export function NpcTableMore({ npc }: { npc: NPC }) { + const router = useRouter(); + return ( + + { + const id = npc.id ?? ""; + await api.deleteApinpcsId(undefined, { + params: { id }, + }); + router.refresh(); + }} + > + Delete + + + ); +} diff --git a/src/ghosts.ui/src/app/npcs/page.tsx b/src/ghosts.ui/src/app/npcs/page.tsx new file mode 100644 index 00000000..b454a79b --- /dev/null +++ b/src/ghosts.ui/src/app/npcs/page.tsx @@ -0,0 +1 @@ +export default function Page() {} diff --git a/src/ghosts.ui/src/app/page.tsx b/src/ghosts.ui/src/app/page.tsx new file mode 100644 index 00000000..9ffca100 --- /dev/null +++ b/src/ghosts.ui/src/app/page.tsx @@ -0,0 +1 @@ +export default async function Home() {} diff --git a/src/ghosts.ui/src/app/timelines/action.ts b/src/ghosts.ui/src/app/timelines/action.ts new file mode 100644 index 00000000..fe094d17 --- /dev/null +++ b/src/ghosts.ui/src/app/timelines/action.ts @@ -0,0 +1,40 @@ +"use server"; + +/** + * Server actions for timeLines CRUD + * For server actions docs @see https://nextjs.org/docs/app/building-your-application/data-fetching/server-actions-and-mutations + */ + +import { db, timeLinesTable } from "@/lib/db"; +import { + type NewTimeLine, + type TimeLine, + newTimeLineSchema, + timeLineSchema, +} from "@/lib/validation"; +import { eq } from "drizzle-orm"; +import { revalidatePath } from "next/cache"; +import { z } from "zod"; + +export async function createTimeLine(data: NewTimeLine) { + const timeLine = newTimeLineSchema.parse(data); + await db.insert(timeLinesTable).values(timeLine).run(); + revalidatePath("/timelines"); +} + +export async function updateTimeLine(data: TimeLine) { + const t = timeLineSchema.parse(data); + const { id, ...timeLine } = t; + await db + .update(timeLinesTable) + .set(timeLine) + .where(eq(timeLinesTable.id, id)) + .run(); + revalidatePath("/timelines"); +} + +export async function deleteTimeLine(data: unknown) { + const id = z.number().parse(data); + await db.delete(timeLinesTable).where(eq(timeLinesTable.id, id)).run(); + revalidatePath("/timelines"); +} diff --git a/src/ghosts.ui/src/app/timelines/edit/[timelineId]/page.tsx b/src/ghosts.ui/src/app/timelines/edit/[timelineId]/page.tsx new file mode 100644 index 00000000..47ef0745 --- /dev/null +++ b/src/ghosts.ui/src/app/timelines/edit/[timelineId]/page.tsx @@ -0,0 +1,24 @@ +import { SheetWrapper } from "@/components/sheet-wrapper"; +import { db, timeLinesTable } from "@/lib/db"; +import { eq } from "drizzle-orm"; +import { notFound } from "next/navigation"; +import { TimeLineForm } from "../../timeline-form"; + +export default async function Page({ + params: { timelineId }, +}: { params: { timelineId: string } }) { + const id = Number.parseInt(timelineId); + const timeLine = await db + .select() + .from(timeLinesTable) + .where(eq(timeLinesTable.id, id)) + .get(); + + if (!timeLine) notFound(); + + return ( + + + + ); +} diff --git a/src/ghosts.ui/src/app/timelines/layout.tsx b/src/ghosts.ui/src/app/timelines/layout.tsx new file mode 100644 index 00000000..59755ba8 --- /dev/null +++ b/src/ghosts.ui/src/app/timelines/layout.tsx @@ -0,0 +1,24 @@ +import { H1 } from "@/components/text"; +import { Button } from "@/components/ui/button"; +import { db, timeLinesTable } from "@/lib/db"; +import Link from "next/link"; +import type React from "react"; +import { TimeLineTable } from "./timeline-table"; + +export default async function Layout({ + children, +}: { children: React.ReactNode }) { + const timeLines = await db.select().from(timeLinesTable); + return ( + <> +

TimeLines

+
+ +
+ + {children} + + ); +} diff --git a/src/ghosts.ui/src/app/timelines/new/page.tsx b/src/ghosts.ui/src/app/timelines/new/page.tsx new file mode 100644 index 00000000..73e182b9 --- /dev/null +++ b/src/ghosts.ui/src/app/timelines/new/page.tsx @@ -0,0 +1,10 @@ +import { SheetWrapper } from "@/components/sheet-wrapper"; +import { TimeLineForm } from "../timeline-form"; + +export default function Page() { + return ( + + + + ); +} diff --git a/src/ghosts.ui/src/app/timelines/page.tsx b/src/ghosts.ui/src/app/timelines/page.tsx new file mode 100644 index 00000000..b454a79b --- /dev/null +++ b/src/ghosts.ui/src/app/timelines/page.tsx @@ -0,0 +1 @@ +export default function Page() {} diff --git a/src/ghosts.ui/src/app/timelines/timeline-form-events.tsx b/src/ghosts.ui/src/app/timelines/timeline-form-events.tsx new file mode 100644 index 00000000..fc20267c --- /dev/null +++ b/src/ghosts.ui/src/app/timelines/timeline-form-events.tsx @@ -0,0 +1,68 @@ +import { FormInput } from "@/components/input"; +import { + Accordion, + AccordionContent, + AccordionItem, + AccordionTrigger, +} from "@/components/ui/accordion"; +import { Button } from "@/components/ui/button"; +import type { NewTimeLine } from "@/lib/validation"; +import { Trash } from "lucide-react"; +import type { UseFormReturn } from "react-hook-form"; + +/** + * Renders a single event of a timeline handler in a timeline form + */ +export function TimeLineFormEvents({ + form, + remove, + j, + i, +}: { + i: number; + j: number; + remove: (j: number) => void; + form: UseFormReturn; +}) { + const basePath = `timeLineHandlers.${i}.timeLineEvents.${j}` as const; + const basePathWatch = form.watch(basePath); + return ( + + + {`${j + 1} : ${ + basePathWatch.command ? basePathWatch.command : "No command yet" + }`} + + + + + + + + + + + + ); +} diff --git a/src/ghosts.ui/src/app/timelines/timeline-form-handlers.tsx b/src/ghosts.ui/src/app/timelines/timeline-form-handlers.tsx new file mode 100644 index 00000000..415aa1ab --- /dev/null +++ b/src/ghosts.ui/src/app/timelines/timeline-form-handlers.tsx @@ -0,0 +1,244 @@ +import { FormInput, FormSelect, FormSwitch } from "@/components/input"; +import { + Accordion, + AccordionContent, + AccordionItem, + AccordionTrigger, +} from "@/components/ui/accordion"; +import AutoFormObject from "@/components/ui/auto-form/fields/object"; +import { Button } from "@/components/ui/button"; +import { + Card, + CardContent, + CardFooter, + CardHeader, + CardTitle, +} from "@/components/ui/card"; +import { FormLabel } from "@/components/ui/form"; +import { Input } from "@/components/ui/input"; +import { SelectGroup, SelectItem } from "@/components/ui/select"; +import { TabsContent } from "@/components/ui/tabs"; +import { HANDLER_TYPES, type HandlerType } from "@/generated/endpoints"; +import { HANDLER_ARGS_SCHEMAS, type NewTimeLine } from "@/lib/validation"; +import { Plus, Trash } from "lucide-react"; +import { useEffect, useState } from "react"; +import { + type FieldArrayWithId, + type UseFormReturn, + useFieldArray, +} from "react-hook-form"; +import { type AnyZodObject, z } from "zod"; +import { timeLineHandlerName } from "./timeline-form"; +import { TimeLineFormEvents } from "./timeline-form-events"; + +/** + * Renders a single handler in a timeline form + */ +export function TimeLineFormHandler({ + timeLineHandler, + form, + i, + removeOuter, +}: { + removeOuter: (i: number) => void; + i: number; + form: UseFormReturn; + timeLineHandler: FieldArrayWithId; +}) { + const basePath = `timeLineHandlers.${i}` as const; + + const { + fields: timeLineEvents, + append, + remove, + } = useFieldArray({ + control: form.control, + name: `${basePath}.timeLineEvents`, + }); + return ( + + + + + {timeLineHandlerName(form.watch(`timeLineHandlers.${i}`), i)} + + + + + + {HANDLER_TYPES.map((handlerType) => ( + + {handlerType} + + ))} + + + + + + +
+ + +
+ +
+ + +
+ TimeLine events + + {timeLineEvents.map((timeLineEvent, j) => ( + + ))} + + + + + + + ); +} + +function AddHandlerEventButton({ + append, +}: { + append: ( + event: NonNullable< + NewTimeLine["timeLineHandlers"][number]["timeLineEvents"] + >[number], + ) => void; +}) { + return ( + + ); +} + +function getDefaultHandlerArgs(handlerType: HandlerType) { + return ( + HANDLER_ARGS_SCHEMAS[handlerType as keyof typeof HANDLER_ARGS_SCHEMAS] ?? + z.object({}) + ); +} + +/** + * Renders the inputs for predefined handler args and allows the addition of custom handler args + */ +function HandlerArgs({ + form, + basePath, +}: { + form: UseFormReturn; + basePath: `timeLineHandlers.${number}`; +}) { + const handlerType = form.watch(basePath).handlerType; + + // The name/key of a new arg we want to add + const [newHandlerArgName, setNewHandlerArgName] = useState< + string | undefined + >(undefined); + + // When we add new keys to handler args we also want to update the schema + // because it validates the handler args and also renders the inputs using auto-form + const [handlerArgsSchema, setHandlerArgsSchema] = useState( + getDefaultHandlerArgs(handlerType), + ); + + // Update the schema whenever the handler changes + // ie. when the handler type of a handler is changed or the visible handler is changed + useEffect(() => { + setHandlerArgsSchema(getDefaultHandlerArgs(handlerType)); + }, [handlerType]); + + return ( + + + Handler args + + setNewHandlerArgName(e.target.value)} + placeholder="Handler arg name" + /> + + + + + + + ); +} diff --git a/src/ghosts.ui/src/app/timelines/timeline-form.tsx b/src/ghosts.ui/src/app/timelines/timeline-form.tsx new file mode 100644 index 00000000..c36368d6 --- /dev/null +++ b/src/ghosts.ui/src/app/timelines/timeline-form.tsx @@ -0,0 +1,175 @@ +"use client"; + +import { FormInput } from "@/components/input"; +import { JSONImporter } from "@/components/json-utils"; +import { Button } from "@/components/ui/button"; +import { + DropdownMenu, + DropdownMenuContent, + DropdownMenuItem, + DropdownMenuTrigger, +} from "@/components/ui/dropdown-menu"; +import { Form, FormLabel } from "@/components/ui/form"; +import { Tabs } from "@/components/ui/tabs"; +import { useApiCall } from "@/lib/utils"; +import { + type NewTimeLine, + type TimeLine, + newTimeLineSchema, +} from "@/lib/validation"; +import { zodResolver } from "@hookform/resolvers/zod"; +import { useRouter } from "next/navigation"; +import { useEffect, useState } from "react"; +import { + type FieldArrayWithId, + type UseFormReturn, + useFieldArray, + useForm, +} from "react-hook-form"; +import { createTimeLine, updateTimeLine } from "./action"; +import { TimeLineFormHandler } from "./timeline-form-handlers"; + +export function timeLineHandlerName( + timeLineHandler: TimeLine["timeLineHandlers"][number], + i: number, +) { + return `${i + 1} : ${timeLineHandler.handlerType ?? "No handler type yet"}`; +} + +export function TimeLineForm({ timeLine }: { timeLine?: TimeLine }) { + const form = useForm({ + resolver: zodResolver(newTimeLineSchema), + defaultValues: timeLine, + }); + + const { + fields: timeLineHandlers, + append, + remove, + } = useFieldArray({ + control: form.control, + name: "timeLineHandlers", + }); + + // Keep track of which handler is currently being edited + const [openHandler, setOpenHandler] = useState(); + + // Ensure that a handler is always visible if one exists + useEffect(() => { + setOpenHandler(timeLineHandlers[0]?.id); + }, [timeLineHandlers]); + + const call = useApiCall(); + const router = useRouter(); + + async function createOrUpdateTimeLine(data: NewTimeLine) { + if (timeLine) { + await call( + updateTimeLine({ id: timeLine.id, ...data }), + "Updated timeLine", + ); + } else { + await call(createTimeLine(data), "Created timeLine"); + } + router.push("/timelines"); + } + + return ( +
+ + + TimeLine handlers +
+ { + form.setValue("timeLineHandlers", data); + }} + /> + +
+ + + + {timeLineHandlers.map((timeLineHandler, i) => ( + + ))} + + + + + ); +} + +/** + * A button that adds a new handler to the timeline form + */ +function AddHandlerButton({ + append, +}: { append: (handler: TimeLine["timeLineHandlers"][number]) => void }) { + return ( + + ); +} + +/** + * Renders a dropdown that allows the user to pick a handler to edit + */ +function HandlerToEditSelector({ + form, + timeLineHandlers, + setOpenHandler, +}: { + form: UseFormReturn; + timeLineHandlers: FieldArrayWithId[]; + setOpenHandler: (id: string) => void; +}) { + return ( + + + + + + {timeLineHandlers.map((timeLineHandler, i) => ( + setOpenHandler(timeLineHandler.id)} + > + {timeLineHandlerName(form.watch(`timeLineHandlers.${i}`), i)} + + ))} + + + ); +} diff --git a/src/ghosts.ui/src/app/timelines/timeline-table.tsx b/src/ghosts.ui/src/app/timelines/timeline-table.tsx new file mode 100644 index 00000000..efb75090 --- /dev/null +++ b/src/ghosts.ui/src/app/timelines/timeline-table.tsx @@ -0,0 +1,55 @@ +"use client"; + +import { DataTable, DataTableMoreMenu } from "@/components/data-table"; +import { DropdownMenuItem } from "@/components/ui/dropdown-menu"; +import { useApiCall } from "@/lib/utils"; +import type { TimeLine } from "@/lib/validation"; +import type { ColumnDef } from "@tanstack/react-table"; +import Link from "next/link"; +import { deleteTimeLine } from "./action"; + +export function TimeLineTable({ timeLines }: { timeLines: TimeLine[] }) { + const timeLineColumns: ColumnDef[] = [ + { + accessorKey: "name", + header: "Name", + }, + { + header: "TimeLine handlers", + cell: ({ row: { original } }) => { + return ( +

+ {original.timeLineHandlers + .map((timeLineHandler) => timeLineHandler.handlerType) + .join(" -> ")} +

+ ); + }, + }, + { + header: "Actions", + cell: ({ row: { original } }) => ( + + ), + }, + ]; + return ; +} + +function TimeLineTableMore({ timeLine }: { timeLine: TimeLine }) { + const call = useApiCall(); + return ( + + { + await call(deleteTimeLine(timeLine.id), "Deleted timeLine"); + }} + > + Delete + + + Edit + + + ); +} diff --git a/src/ghosts.ui/src/components/activity-sheet.tsx b/src/ghosts.ui/src/components/activity-sheet.tsx new file mode 100644 index 00000000..ad0714c5 --- /dev/null +++ b/src/ghosts.ui/src/components/activity-sheet.tsx @@ -0,0 +1,157 @@ +"use client"; + +import { SheetTitle } from "@/components/ui/sheet"; +import type { MachineActivityType, MachineType } from "@/generated/endpoints"; +import type { ColumnDef } from "@tanstack/react-table"; +import Link from "next/link"; +import { usePathname, useRouter, useSearchParams } from "next/navigation"; +import { DataTable } from "./data-table"; +import type { MachineOrMachineGroup } from "./timeline-runner"; +import { Input } from "./ui/input"; + +/** + * A component to display activity of a machine or machine group in a table + */ +export function ActivitySheet({ + activity, + machine, + machineGroup, + allMachines, +}: { + activity: MachineActivityType[]; + allMachines: MachineType[]; +} & MachineOrMachineGroup) { + const name = machine ? machine.name : machineGroup.name; + const entityName = `${machine ? "machine" : "machine group"} '${name}'`; + + const activityColumns: ColumnDef[] = [ + { + header: "Handler type", + accessorKey: "handler", + }, + { + header: "Command", + accessorKey: "command", + }, + { + header: "Command arg", + accessorKey: "commandArg", + }, + { + header: "Created UTC", + accessorKey: "createdUtc", + }, + ]; + + // Add the machine link column if we are viewing the activity of a machine group + if (machineGroup) { + activityColumns.push({ + header: "Machine", + cell: ({ row: { original } }) => { + const machine = allMachines.find( + (machine) => machine.id === original.machineId, + ); + if (machine) { + return ( + + {machine.name ?? "No machine name"} + + ); + } + return "Machine not found"; + }, + }); + } + + return ( + <> + {`Activity for ${entityName}`} + + + + ); +} + +import { + Pagination, + PaginationContent, + PaginationItem, + PaginationNext, + PaginationPrevious, +} from "@/components/ui/pagination"; +import { useEffect, useState } from "react"; + +function ActivityPaginator() { + const router = useRouter(); + const path = usePathname(); + const searchParams = useSearchParams(); + + const currentTake = Number.parseInt( + searchParams.get("take")?.toString() ?? "50", + ); + const currentSkip = Number.parseInt( + searchParams.get("skip")?.toString() ?? "0", + ); + + const [take, setTake] = useState(currentTake); + + useEffect(() => { + const timeoutId = setTimeout(() => { + if (!Number.isNaN(take)) router.push(`${path}?skip=0&take=${take}`); + }, 1000); + return () => clearTimeout(timeoutId); + }, [take, path, router.push]); + + const [page, setPage] = useState(1); + + useEffect(() => { + const timeoutId = setTimeout(() => { + if (!Number.isNaN(take)) + router.push(`${path}?skip=${(page - 1) * take}&take=${take}`); + }, 1000); + return () => clearTimeout(timeoutId); + }, [page, take, path, router.push]); + + const prevTake = currentSkip - currentTake; + const prevHref = `${path}?skip=${ + prevTake < 0 ? 0 : prevTake + }&take=${currentTake}`; + + const nextHref = `${path}?skip=${ + currentSkip + currentTake + }&take=${currentTake}`; + + return ( + + + + + + + setPage(Number.parseInt(e.target.value))} + type="number" + min={1} + /> + + + + + + setTake(Number.parseInt(e.target.value))} + type="number" + min={1} + /> + + + + ); +} diff --git a/src/ghosts.ui/src/components/data-table.tsx b/src/ghosts.ui/src/components/data-table.tsx new file mode 100644 index 00000000..2505955e --- /dev/null +++ b/src/ghosts.ui/src/components/data-table.tsx @@ -0,0 +1,212 @@ +"use client"; + +import { + type Column, + type ColumnDef, + flexRender, + getCoreRowModel, + getFilteredRowModel, + useReactTable, +} from "@tanstack/react-table"; + +import { + Table, + TableBody, + TableCell, + TableHead, + TableHeader, + TableRow, +} from "@/components/ui/table"; +import { MoreHorizontal } from "lucide-react"; +import { type PropsWithChildren, useEffect, useState } from "react"; +import { JSONViewer } from "./json-utils"; +import { Button } from "./ui/button"; +import { + DropdownMenu, + DropdownMenuContent, + DropdownMenuLabel, + DropdownMenuTrigger, +} from "./ui/dropdown-menu"; +import { Input } from "./ui/input"; + +interface DataTableProps { + columns: ColumnDef[]; + data: TData[]; +} + +/** + * A dropdown menu to perform actions on a table row + * Includes a json viewer to view the provided (usually the row) JSON + */ +export function DataTableMoreMenu({ + children, + jsonViewerJson, +}: { jsonViewerJson: T } & PropsWithChildren) { + return ( + + + + + + Actions + {children} + + + + ); +} + +/** + * Default ShadCN UI DataTable component + * Added a simple implementation of selecting columns to filter + * Rows are filtered by a string search of the value of the selected column + */ +export function DataTable({ + columns, + data, +}: DataTableProps) { + // Add a rawJson column for searching the raw json + columns = [ + ...columns, + { + id: "rawJson", + accessorFn: (row) => JSON.stringify(row), + } as ColumnDef, + ]; + + // @ts-expect-error ts doesn't like this + columns = columns.map( + // @ts-expect-error same + (col) => ({ ...col, filterFn: "test" }) satisfies ColumnDef, + ); + + const table = useReactTable({ + data, + columns, + state: { + columnVisibility: { + // Hide the rawJson column + rawJson: false, + }, + }, + columnResizeMode: "onChange", + getCoreRowModel: getCoreRowModel(), + getFilteredRowModel: getFilteredRowModel(), + + /** + * Custom search fn because default tanstack table filter fn doesn't work with nullable cols + * @see https://github.com/TanStack/table/issues/4919 + */ + filterFns: { + test: (row, filterColumnId, filterValue) => { + const val = row.getValue(filterColumnId) as string | undefined; + if (!val) { + return false; + } + if (val.includes(filterValue)) { + return true; + } + return false; + }, + }, + }); + + const rawJsonColumn = table.getColumn("rawJson"); + + const [searchColumn, setSearchColumn] = useState | undefined>( + rawJsonColumn, + ); + + const [searchValue, setSearchValue] = useState(undefined); + + // Debounce setting the search column value so we don't refilter on every single character change + useEffect(() => { + const timeoutId = setTimeout(() => { + searchColumn?.setFilterValue(searchValue); + }, 500); + return () => clearTimeout(timeoutId); + }, [searchValue, searchColumn?.setFilterValue]); + + function updateSearchColumn(newSearchColumn?: Column) { + searchColumn?.setFilterValue(undefined); + setSearchValue(undefined); + setSearchColumn(newSearchColumn ?? undefined); + } + + return ( + <> +
+ {searchColumn && ( + setSearchValue(e.target.value)} + placeholder={`Search ${searchColumn.id}`} + /> + )} + + {searchColumn && ( + + )} +
+
+ + + {table.getHeaderGroups().map((headerGroup) => ( + + {headerGroup.headers.map((header) => { + return ( + updateSearchColumn(header.column)} + > + {header.isPlaceholder + ? null + : flexRender( + header.column.columnDef.header, + header.getContext(), + )} + + ); + })} + + ))} + + + {table.getRowModel().rows?.length ? ( + table.getRowModel().rows.map((row) => ( + + {row.getVisibleCells().map((cell) => ( + + {flexRender( + cell.column.columnDef.cell, + cell.getContext(), + )} + + ))} + + )) + ) : ( + + + No results. + + + )} + +
+
+ + ); +} diff --git a/src/ghosts.ui/src/components/input.tsx b/src/ghosts.ui/src/components/input.tsx new file mode 100644 index 00000000..225beb27 --- /dev/null +++ b/src/ghosts.ui/src/components/input.tsx @@ -0,0 +1,124 @@ +import type { PropsWithChildren } from "react"; +import type { + ControllerRenderProps, + FieldValues, + Path, + UseFormReturn, +} from "react-hook-form"; +import { + FormControl, + FormDescription, + FormField, + FormItem, + FormLabel, + FormMessage, +} from "./ui/form"; +import { Input } from "./ui/input"; +import { Select, SelectContent, SelectTrigger, SelectValue } from "./ui/select"; +import { Switch } from "./ui/switch"; + +/** + * Utility wrappers around inputs + */ + +type FormComponentProps = { + form: UseFormReturn; + fieldName: Path; + label?: string; +}; + +function InputWrapper({ + form, + fieldName, + label, + renderInput, +}: FormComponentProps & { + renderInput: ( + field: ControllerRenderProps>, + ) => React.ReactNode; +}) { + return ( + ( + + {label && {label}} + {renderInput(field)} + + + + )} + /> + ); +} + +export function FormSwitch( + props: FormComponentProps, +) { + return ( + ( + + )} + /> + ); +} + +export function FormInput( + props: FormComponentProps & { + parseCommaSeparatedStringAsArray?: boolean; + parseInt?: boolean; + }, +) { + return ( + ( + { + if (props.parseCommaSeparatedStringAsArray) { + field.onChange(e.target.value.split(",")); + } else if (props.parseInt) { + const int = Number.parseInt(e.target.value); + if (!Number.isNaN(int)) { + field.onChange(int); + } else { + field.onChange(e); + } + } else { + field.onChange(e); + } + }} + /> + )} + /> + ); +} + +export function FormSelect({ + children, + parseAsInt, + ...props +}: FormComponentProps & { + parseAsInt?: boolean; +} & PropsWithChildren) { + return ( + ( + + )} + /> + ); +} diff --git a/src/ghosts.ui/src/components/json-utils.tsx b/src/ghosts.ui/src/components/json-utils.tsx new file mode 100644 index 00000000..2b3a9b92 --- /dev/null +++ b/src/ghosts.ui/src/components/json-utils.tsx @@ -0,0 +1,100 @@ +import { CopyCheck } from "lucide-react"; +import { useEffect, useState } from "react"; +import type { ZodType, z } from "zod"; +import { Button } from "./ui/button"; +import { Popover, PopoverContent, PopoverTrigger } from "./ui/popover"; +import { Textarea } from "./ui/textarea"; +import { useToast } from "./ui/use-toast"; + +/** + * A popover to view and copy the provided json + */ +export function JSONViewer({ json }: { json: T }) { + const jsonString = JSON.stringify(json, undefined, 2); + return ( + + View JSON + + await navigator.clipboard.writeText(jsonString)} + /> + 
{jsonString}
+ + + ); +} + +/** + * Renders a textarea, validates the provided input against the validator and calls onValidData if the data is valid + * If there is existing data to edit, use the prefillData prop + */ +export function JSONImporter< + TValidator extends ZodType, + TData extends z.infer, +>({ + validator, + onValidData, + prefillData, +}: { + validator: TValidator; + onValidData: (data: TData) => void; + prefillData?: TData; +}) { + const prefillDataString = prefillData + ? JSON.stringify(prefillData, undefined, 4) + : ""; + const [jsonToImport, setJsonToImport] = useState(prefillDataString); + + // Ensure prefilldata is up to date + useEffect(() => setJsonToImport(prefillDataString), [prefillDataString]); + + const { toast } = useToast(); + return ( + + + + + +