Compare commits
No commits in common. "master" and "master-1" have entirely different histories.
|
|
@ -1,61 +0,0 @@
|
|||
# Ignore everything by default, selectively add things to context
|
||||
*
|
||||
|
||||
# Platform - Libs
|
||||
!autogpt_platform/autogpt_libs/autogpt_libs/
|
||||
!autogpt_platform/autogpt_libs/pyproject.toml
|
||||
!autogpt_platform/autogpt_libs/poetry.lock
|
||||
!autogpt_platform/autogpt_libs/README.md
|
||||
|
||||
# Platform - Backend
|
||||
!autogpt_platform/backend/backend/
|
||||
!autogpt_platform/backend/migrations/
|
||||
!autogpt_platform/backend/schema.prisma
|
||||
!autogpt_platform/backend/pyproject.toml
|
||||
!autogpt_platform/backend/poetry.lock
|
||||
!autogpt_platform/backend/README.md
|
||||
|
||||
# Platform - Market
|
||||
!autogpt_platform/market/market/
|
||||
!autogpt_platform/market/scripts.py
|
||||
!autogpt_platform/market/schema.prisma
|
||||
!autogpt_platform/market/pyproject.toml
|
||||
!autogpt_platform/market/poetry.lock
|
||||
!autogpt_platform/market/README.md
|
||||
|
||||
# Platform - Frontend
|
||||
!autogpt_platform/frontend/src/
|
||||
!autogpt_platform/frontend/public/
|
||||
!autogpt_platform/frontend/package.json
|
||||
!autogpt_platform/frontend/yarn.lock
|
||||
!autogpt_platform/frontend/tsconfig.json
|
||||
!autogpt_platform/frontend/README.md
|
||||
## config
|
||||
!autogpt_platform/frontend/*.config.*
|
||||
!autogpt_platform/frontend/.env.*
|
||||
|
||||
# Classic - AutoGPT
|
||||
!classic/original_autogpt/autogpt/
|
||||
!classic/original_autogpt/pyproject.toml
|
||||
!classic/original_autogpt/poetry.lock
|
||||
!classic/original_autogpt/README.md
|
||||
!classic/original_autogpt/tests/
|
||||
|
||||
# Classic - Benchmark
|
||||
!classic/benchmark/agbenchmark/
|
||||
!classic/benchmark/pyproject.toml
|
||||
!classic/benchmark/poetry.lock
|
||||
!classic/benchmark/README.md
|
||||
|
||||
# Classic - Forge
|
||||
!classic/forge/
|
||||
!classic/forge/pyproject.toml
|
||||
!classic/forge/poetry.lock
|
||||
!classic/forge/README.md
|
||||
|
||||
# Classic - Frontend
|
||||
!classic/frontend/build/web/
|
||||
|
||||
# Explicitly re-ignore some folders
|
||||
.*
|
||||
**/__pycache__
|
||||
|
|
@ -1,10 +0,0 @@
|
|||
classic/frontend/build/** linguist-generated
|
||||
|
||||
**/poetry.lock linguist-generated
|
||||
|
||||
docs/_javascript/** linguist-vendored
|
||||
|
||||
# Exclude VCR cassettes from stats
|
||||
classic/forge/tests/vcr_cassettes/**/**.y*ml linguist-generated
|
||||
|
||||
* text=auto
|
||||
|
|
@ -1,7 +0,0 @@
|
|||
* @Significant-Gravitas/maintainers
|
||||
.github/workflows/ @Significant-Gravitas/devops
|
||||
classic/forge/ @Significant-Gravitas/forge-maintainers
|
||||
classic/benchmark/ @Significant-Gravitas/benchmark-maintainers
|
||||
classic/frontend/ @Significant-Gravitas/frontend-maintainers
|
||||
autogpt_platform/infra @Significant-Gravitas/devops
|
||||
.github/CODEOWNERS @Significant-Gravitas/admins
|
||||
|
|
@ -1,173 +0,0 @@
|
|||
name: Bug report 🐛
|
||||
description: Create a bug report for AutoGPT.
|
||||
labels: ['status: needs triage']
|
||||
body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
### ⚠️ Before you continue
|
||||
* Check out our [backlog], [roadmap] and join our [discord] to discuss what's going on
|
||||
* If you need help, you can ask in the [discussions] section or in [#tech-support]
|
||||
* **Thoroughly search the [existing issues] before creating a new one**
|
||||
* Read our [wiki page on Contributing]
|
||||
[backlog]: https://github.com/orgs/Significant-Gravitas/projects/1
|
||||
[roadmap]: https://github.com/orgs/Significant-Gravitas/projects/2
|
||||
[discord]: https://discord.gg/autogpt
|
||||
[discussions]: https://github.com/Significant-Gravitas/AutoGPT/discussions
|
||||
[#tech-support]: https://discord.com/channels/1092243196446249134/1092275629602394184
|
||||
[existing issues]: https://github.com/Significant-Gravitas/AutoGPT/issues?q=is%3Aissue
|
||||
[wiki page on Contributing]: https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing
|
||||
|
||||
- type: checkboxes
|
||||
attributes:
|
||||
label: ⚠️ Search for existing issues first ⚠️
|
||||
description: >
|
||||
Please [search the history](https://github.com/Significant-Gravitas/AutoGPT/issues)
|
||||
to see if an issue already exists for the same problem.
|
||||
options:
|
||||
- label: I have searched the existing issues, and there is no existing issue for my problem
|
||||
required: true
|
||||
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
Please confirm that the issue you have is described well and precise in the title above ⬆️.
|
||||
A good rule of thumb: What would you type if you were searching for the issue?
|
||||
|
||||
For example:
|
||||
BAD - my AutoGPT keeps looping
|
||||
GOOD - After performing execute_python_file, AutoGPT goes into a loop where it keeps trying to execute the file.
|
||||
|
||||
⚠️ SUPER-busy repo, please help the volunteer maintainers.
|
||||
The less time we spend here, the more time we can spend building AutoGPT.
|
||||
|
||||
Please help us help you by following these steps:
|
||||
- Search for existing issues, adding a comment when you have the same or similar issue is tidier than "new issue" and
|
||||
newer issues will not be reviewed earlier, this is dependent on the current priorities set by our wonderful team
|
||||
- Ask on our Discord if your issue is known when you are unsure (https://discord.gg/autogpt)
|
||||
- Provide relevant info:
|
||||
- Provide commit-hash (`git rev-parse HEAD` gets it) if possible
|
||||
- If it's a pip/packages issue, mention this in the title and provide pip version, python version
|
||||
- If it's a crash, provide traceback and describe the error you got as precise as possible in the title.
|
||||
|
||||
- type: dropdown
|
||||
attributes:
|
||||
label: Which Operating System are you using?
|
||||
description: >
|
||||
Please select the operating system you were using to run AutoGPT when this problem occurred.
|
||||
options:
|
||||
- Windows
|
||||
- Linux
|
||||
- MacOS
|
||||
- Docker
|
||||
- Devcontainer / Codespace
|
||||
- Windows Subsystem for Linux (WSL)
|
||||
- Other
|
||||
validations:
|
||||
required: true
|
||||
nested_fields:
|
||||
- type: text
|
||||
attributes:
|
||||
label: Specify the system
|
||||
description: Please specify the system you are working on.
|
||||
|
||||
- type: dropdown
|
||||
attributes:
|
||||
label: Which version of AutoGPT are you using?
|
||||
description: |
|
||||
Please select which version of AutoGPT you were using when this issue occurred.
|
||||
If you downloaded the code from the [releases page](https://github.com/Significant-Gravitas/AutoGPT/releases/) make sure you were using the latest code.
|
||||
**If you weren't please try with the [latest code](https://github.com/Significant-Gravitas/AutoGPT/releases/)**.
|
||||
If installed with git you can run `git branch` to see which version of AutoGPT you are running.
|
||||
options:
|
||||
- Latest Release
|
||||
- Stable (branch)
|
||||
- Master (branch)
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: dropdown
|
||||
attributes:
|
||||
label: What LLM Provider do you use?
|
||||
description: >
|
||||
If you are using AutoGPT with `SMART_LLM=gpt-3.5-turbo`, your problems may be caused by
|
||||
the [limitations](https://github.com/Significant-Gravitas/AutoGPT/issues?q=is%3Aissue+label%3A%22AI+model+limitation%22) of GPT-3.5.
|
||||
options:
|
||||
- Azure
|
||||
- Groq
|
||||
- Anthropic
|
||||
- Llamafile
|
||||
- Other (detail in issue)
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: dropdown
|
||||
attributes:
|
||||
label: Which area covers your issue best?
|
||||
description: >
|
||||
Select the area related to the issue you are reporting.
|
||||
options:
|
||||
- Installation and setup
|
||||
- Memory
|
||||
- Performance
|
||||
- Prompt
|
||||
- Commands
|
||||
- Plugins
|
||||
- AI Model Limitations
|
||||
- Challenges
|
||||
- Documentation
|
||||
- Logging
|
||||
- Agents
|
||||
- Other
|
||||
validations:
|
||||
required: true
|
||||
autolabels: true
|
||||
nested_fields:
|
||||
- type: text
|
||||
attributes:
|
||||
label: Specify the area
|
||||
description: Please specify the area you think is best related to the issue.
|
||||
|
||||
- type: input
|
||||
attributes:
|
||||
label: What commit or version are you using?
|
||||
description: It is helpful for us to reproduce to know what version of the software you were using when this happened. Please run `git log -n 1 --pretty=format:"%H"` to output the full commit hash.
|
||||
validations:
|
||||
required: true
|
||||
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: Describe your issue.
|
||||
description: Describe the problem you are experiencing. Try to describe only the issue and phrase it short but clear. ⚠️ Provide NO other data in this field
|
||||
validations:
|
||||
required: true
|
||||
|
||||
#Following are optional file content uploads
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
⚠️The following is OPTIONAL, please keep in mind that the log files may contain personal information such as credentials.⚠️
|
||||
|
||||
"The log files are located in the folder 'logs' inside the main AutoGPT folder."
|
||||
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: Upload Activity Log Content
|
||||
description: |
|
||||
Upload the activity log content, this can help us understand the issue better.
|
||||
To do this, go to the folder logs in your main AutoGPT folder, open activity.log and copy/paste the contents to this field.
|
||||
⚠️ The activity log may contain personal data given to AutoGPT by you in prompt or input as well as
|
||||
any personal information that AutoGPT collected out of files during last run. Do not add the activity log if you are not comfortable with sharing it. ⚠️
|
||||
validations:
|
||||
required: false
|
||||
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: Upload Error Log Content
|
||||
description: |
|
||||
Upload the error log content, this will help us understand the issue better.
|
||||
To do this, go to the folder logs in your main AutoGPT folder, open error.log and copy/paste the contents to this field.
|
||||
⚠️ The error log may contain personal data given to AutoGPT by you in prompt or input as well as
|
||||
any personal information that AutoGPT collected out of files during last run. Do not add the activity log if you are not comfortable with sharing it. ⚠️
|
||||
validations:
|
||||
required: false
|
||||
|
|
@ -1,28 +0,0 @@
|
|||
name: Feature request 🚀
|
||||
description: Suggest a new idea for AutoGPT!
|
||||
labels: ['status: needs triage']
|
||||
body:
|
||||
- type: markdown
|
||||
attributes:
|
||||
value: |
|
||||
First, check out our [wiki page on Contributing](https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing)
|
||||
Please provide a searchable summary of the issue in the title above ⬆️.
|
||||
- type: checkboxes
|
||||
attributes:
|
||||
label: Duplicates
|
||||
description: Please [search the history](https://github.com/Significant-Gravitas/AutoGPT/issues) to see if an issue already exists for the same problem.
|
||||
options:
|
||||
- label: I have searched the existing issues
|
||||
required: true
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: Summary 💡
|
||||
description: Describe how it should work.
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: Examples 🌈
|
||||
description: Provide a link to other implementations, or screenshots of the expected behavior.
|
||||
- type: textarea
|
||||
attributes:
|
||||
label: Motivation 🔦
|
||||
description: What are you trying to accomplish? How has the lack of this feature affected you? Providing context helps us come up with a solution that is more useful in the real world.
|
||||
|
|
@ -1,38 +0,0 @@
|
|||
<!-- Clearly explain the need for these changes: -->
|
||||
|
||||
### Changes 🏗️
|
||||
|
||||
<!-- Concisely describe all of the changes made in this pull request: -->
|
||||
|
||||
### Checklist 📋
|
||||
|
||||
#### For code changes:
|
||||
- [ ] I have clearly listed my changes in the PR description
|
||||
- [ ] I have made a test plan
|
||||
- [ ] I have tested my changes according to the test plan:
|
||||
<!-- Put your test plan here: -->
|
||||
- [ ] ...
|
||||
|
||||
<details>
|
||||
<summary>Example test plan</summary>
|
||||
|
||||
- [ ] Create from scratch and execute an agent with at least 3 blocks
|
||||
- [ ] Import an agent from file upload, and confirm it executes correctly
|
||||
- [ ] Upload agent to marketplace
|
||||
- [ ] Import an agent from marketplace and confirm it executes correctly
|
||||
- [ ] Edit an agent from monitor, and confirm it executes correctly
|
||||
</details>
|
||||
|
||||
#### For configuration changes:
|
||||
- [ ] `.env.example` is updated or already compatible with my changes
|
||||
- [ ] `docker-compose.yml` is updated or already compatible with my changes
|
||||
- [ ] I have included a list of my configuration changes in the PR description (under **Changes**)
|
||||
|
||||
<details>
|
||||
<summary>Examples of configuration changes</summary>
|
||||
|
||||
- Changing ports
|
||||
- Adding new services that need to communicate with each other
|
||||
- Secrets or environment variable changes
|
||||
- New or infrastructure changes such as databases
|
||||
</details>
|
||||
|
|
@ -1,175 +0,0 @@
|
|||
version: 2
|
||||
updates:
|
||||
# autogpt_libs (Poetry project)
|
||||
- package-ecosystem: "pip"
|
||||
directory: "autogpt_platform/autogpt_libs"
|
||||
schedule:
|
||||
interval: "weekly"
|
||||
open-pull-requests-limit: 10
|
||||
target-branch: "dev"
|
||||
commit-message:
|
||||
prefix: "chore(libs/deps)"
|
||||
prefix-development: "chore(libs/deps-dev)"
|
||||
groups:
|
||||
production-dependencies:
|
||||
dependency-type: "production"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
development-dependencies:
|
||||
dependency-type: "development"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
|
||||
# backend (Poetry project)
|
||||
- package-ecosystem: "pip"
|
||||
directory: "autogpt_platform/backend"
|
||||
schedule:
|
||||
interval: "weekly"
|
||||
open-pull-requests-limit: 10
|
||||
target-branch: "dev"
|
||||
commit-message:
|
||||
prefix: "chore(backend/deps)"
|
||||
prefix-development: "chore(backend/deps-dev)"
|
||||
groups:
|
||||
production-dependencies:
|
||||
dependency-type: "production"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
development-dependencies:
|
||||
dependency-type: "development"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
|
||||
# frontend (Next.js project)
|
||||
- package-ecosystem: "npm"
|
||||
directory: "autogpt_platform/frontend"
|
||||
schedule:
|
||||
interval: "weekly"
|
||||
open-pull-requests-limit: 10
|
||||
target-branch: "dev"
|
||||
commit-message:
|
||||
prefix: "chore(frontend/deps)"
|
||||
prefix-development: "chore(frontend/deps-dev)"
|
||||
groups:
|
||||
production-dependencies:
|
||||
dependency-type: "production"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
development-dependencies:
|
||||
dependency-type: "development"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
|
||||
# infra (Terraform)
|
||||
- package-ecosystem: "terraform"
|
||||
directory: "autogpt_platform/infra"
|
||||
schedule:
|
||||
interval: "weekly"
|
||||
open-pull-requests-limit: 5
|
||||
target-branch: "dev"
|
||||
commit-message:
|
||||
prefix: "chore(infra/deps)"
|
||||
prefix-development: "chore(infra/deps-dev)"
|
||||
|
||||
groups:
|
||||
production-dependencies:
|
||||
dependency-type: "production"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
development-dependencies:
|
||||
dependency-type: "development"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
|
||||
|
||||
# GitHub Actions
|
||||
- package-ecosystem: "github-actions"
|
||||
directory: "/"
|
||||
schedule:
|
||||
interval: "weekly"
|
||||
open-pull-requests-limit: 5
|
||||
target-branch: "dev"
|
||||
groups:
|
||||
production-dependencies:
|
||||
dependency-type: "production"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
development-dependencies:
|
||||
dependency-type: "development"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
|
||||
|
||||
# Docker
|
||||
- package-ecosystem: "docker"
|
||||
directory: "autogpt_platform/"
|
||||
schedule:
|
||||
interval: "weekly"
|
||||
open-pull-requests-limit: 5
|
||||
target-branch: "dev"
|
||||
groups:
|
||||
production-dependencies:
|
||||
dependency-type: "production"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
development-dependencies:
|
||||
dependency-type: "development"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
|
||||
|
||||
# Submodules
|
||||
- package-ecosystem: "gitsubmodule"
|
||||
directory: "autogpt_platform/supabase"
|
||||
schedule:
|
||||
interval: "weekly"
|
||||
open-pull-requests-limit: 1
|
||||
target-branch: "dev"
|
||||
commit-message:
|
||||
prefix: "chore(platform/deps)"
|
||||
prefix-development: "chore(platform/deps-dev)"
|
||||
groups:
|
||||
production-dependencies:
|
||||
dependency-type: "production"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
development-dependencies:
|
||||
dependency-type: "development"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
|
||||
|
||||
# Docs
|
||||
- package-ecosystem: 'pip'
|
||||
directory: "docs/"
|
||||
schedule:
|
||||
interval: "weekly"
|
||||
open-pull-requests-limit: 1
|
||||
target-branch: "dev"
|
||||
commit-message:
|
||||
prefix: "chore(docs/deps)"
|
||||
groups:
|
||||
production-dependencies:
|
||||
dependency-type: "production"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
development-dependencies:
|
||||
dependency-type: "development"
|
||||
update-types:
|
||||
- "minor"
|
||||
- "patch"
|
||||
|
|
@ -1,32 +0,0 @@
|
|||
Classic AutoGPT Agent:
|
||||
- changed-files:
|
||||
- any-glob-to-any-file: classic/original_autogpt/**
|
||||
|
||||
Classic Benchmark:
|
||||
- changed-files:
|
||||
- any-glob-to-any-file: classic/benchmark/**
|
||||
|
||||
Classic Frontend:
|
||||
- changed-files:
|
||||
- any-glob-to-any-file: classic/frontend/**
|
||||
|
||||
Forge:
|
||||
- changed-files:
|
||||
- any-glob-to-any-file: classic/forge/**
|
||||
|
||||
documentation:
|
||||
- changed-files:
|
||||
- any-glob-to-any-file: docs/**
|
||||
|
||||
platform/frontend:
|
||||
- changed-files:
|
||||
- any-glob-to-any-file: autogpt_platform/frontend/**
|
||||
|
||||
platform/backend:
|
||||
- changed-files:
|
||||
- any-glob-to-any-file: autogpt_platform/backend/**
|
||||
- all-globs-to-all-files: '!autogpt_platform/backend/backend/blocks/**'
|
||||
|
||||
platform/blocks:
|
||||
- changed-files:
|
||||
- any-glob-to-any-file: autogpt_platform/backend/backend/blocks/**
|
||||
|
|
@ -1,138 +0,0 @@
|
|||
name: Classic - AutoGPT CI
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [ master, dev, ci-test* ]
|
||||
paths:
|
||||
- '.github/workflows/classic-autogpt-ci.yml'
|
||||
- 'classic/original_autogpt/**'
|
||||
pull_request:
|
||||
branches: [ master, dev, release-* ]
|
||||
paths:
|
||||
- '.github/workflows/classic-autogpt-ci.yml'
|
||||
- 'classic/original_autogpt/**'
|
||||
|
||||
concurrency:
|
||||
group: ${{ format('classic-autogpt-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
|
||||
cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
|
||||
|
||||
defaults:
|
||||
run:
|
||||
shell: bash
|
||||
working-directory: classic/original_autogpt
|
||||
|
||||
jobs:
|
||||
test:
|
||||
permissions:
|
||||
contents: read
|
||||
timeout-minutes: 30
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
python-version: ["3.10"]
|
||||
platform-os: [ubuntu, macos, macos-arm64, windows]
|
||||
runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
|
||||
|
||||
steps:
|
||||
# Quite slow on macOS (2~4 minutes to set up Docker)
|
||||
# - name: Set up Docker (macOS)
|
||||
# if: runner.os == 'macOS'
|
||||
# uses: crazy-max/ghaction-setup-docker@v3
|
||||
|
||||
- name: Start MinIO service (Linux)
|
||||
if: runner.os == 'Linux'
|
||||
working-directory: '.'
|
||||
run: |
|
||||
docker pull minio/minio:edge-cicd
|
||||
docker run -d -p 9000:9000 minio/minio:edge-cicd
|
||||
|
||||
- name: Start MinIO service (macOS)
|
||||
if: runner.os == 'macOS'
|
||||
working-directory: ${{ runner.temp }}
|
||||
run: |
|
||||
brew install minio/stable/minio
|
||||
mkdir data
|
||||
minio server ./data &
|
||||
|
||||
# No MinIO on Windows:
|
||||
# - Windows doesn't support running Linux Docker containers
|
||||
# - It doesn't seem possible to start background processes on Windows. They are
|
||||
# killed after the step returns.
|
||||
# See: https://github.com/actions/runner/issues/598#issuecomment-2011890429
|
||||
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
submodules: true
|
||||
|
||||
- name: Configure git user Auto-GPT-Bot
|
||||
run: |
|
||||
git config --global user.name "Auto-GPT-Bot"
|
||||
git config --global user.email "github-bot@agpt.co"
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
|
||||
- id: get_date
|
||||
name: Get date
|
||||
run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
|
||||
|
||||
- name: Set up Python dependency cache
|
||||
# On Windows, unpacking cached dependencies takes longer than just installing them
|
||||
if: runner.os != 'Windows'
|
||||
uses: actions/cache@v4
|
||||
with:
|
||||
path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
|
||||
key: poetry-${{ runner.os }}-${{ hashFiles('classic/original_autogpt/poetry.lock') }}
|
||||
|
||||
- name: Install Poetry (Unix)
|
||||
if: runner.os != 'Windows'
|
||||
run: |
|
||||
curl -sSL https://install.python-poetry.org | python3 -
|
||||
|
||||
if [ "${{ runner.os }}" = "macOS" ]; then
|
||||
PATH="$HOME/.local/bin:$PATH"
|
||||
echo "$HOME/.local/bin" >> $GITHUB_PATH
|
||||
fi
|
||||
|
||||
- name: Install Poetry (Windows)
|
||||
if: runner.os == 'Windows'
|
||||
shell: pwsh
|
||||
run: |
|
||||
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
|
||||
|
||||
$env:PATH += ";$env:APPDATA\Python\Scripts"
|
||||
echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
|
||||
|
||||
- name: Install Python dependencies
|
||||
run: poetry install
|
||||
|
||||
- name: Run pytest with coverage
|
||||
run: |
|
||||
poetry run pytest -vv \
|
||||
--cov=autogpt --cov-branch --cov-report term-missing --cov-report xml \
|
||||
--numprocesses=logical --durations=10 \
|
||||
tests/unit tests/integration
|
||||
env:
|
||||
CI: true
|
||||
PLAIN_OUTPUT: True
|
||||
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
|
||||
S3_ENDPOINT_URL: ${{ runner.os != 'Windows' && 'http://127.0.0.1:9000' || '' }}
|
||||
AWS_ACCESS_KEY_ID: minioadmin
|
||||
AWS_SECRET_ACCESS_KEY: minioadmin
|
||||
|
||||
- name: Upload coverage reports to Codecov
|
||||
uses: codecov/codecov-action@v4
|
||||
with:
|
||||
token: ${{ secrets.CODECOV_TOKEN }}
|
||||
flags: autogpt-agent,${{ runner.os }}
|
||||
|
||||
- name: Upload logs to artifact
|
||||
if: always()
|
||||
uses: actions/upload-artifact@v4
|
||||
with:
|
||||
name: test-logs
|
||||
path: classic/original_autogpt/logs/
|
||||
|
|
@ -1,60 +0,0 @@
|
|||
name: Classic - Purge Auto-GPT Docker CI cache
|
||||
|
||||
on:
|
||||
schedule:
|
||||
- cron: 20 4 * * 1,4
|
||||
|
||||
env:
|
||||
BASE_BRANCH: dev
|
||||
IMAGE_NAME: auto-gpt
|
||||
|
||||
jobs:
|
||||
build:
|
||||
runs-on: ubuntu-latest
|
||||
strategy:
|
||||
matrix:
|
||||
build-type: [release, dev]
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v3
|
||||
|
||||
- id: build
|
||||
name: Build image
|
||||
uses: docker/build-push-action@v6
|
||||
with:
|
||||
context: classic/
|
||||
file: classic/Dockerfile.autogpt
|
||||
build-args: BUILD_TYPE=${{ matrix.build-type }}
|
||||
load: true # save to docker images
|
||||
# use GHA cache as read-only
|
||||
cache-to: type=gha,scope=autogpt-docker-${{ matrix.build-type }},mode=max
|
||||
|
||||
- name: Generate build report
|
||||
env:
|
||||
event_name: ${{ github.event_name }}
|
||||
event_ref: ${{ github.event.schedule }}
|
||||
|
||||
build_type: ${{ matrix.build-type }}
|
||||
|
||||
prod_branch: master
|
||||
dev_branch: dev
|
||||
repository: ${{ github.repository }}
|
||||
base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'dev' && 'dev' || 'master' }}
|
||||
|
||||
current_ref: ${{ github.ref_name }}
|
||||
commit_hash: ${{ github.sha }}
|
||||
source_url: ${{ format('{0}/tree/{1}', github.event.repository.url, github.sha) }}
|
||||
push_forced_label:
|
||||
|
||||
new_commits_json: ${{ null }}
|
||||
compare_url_template: ${{ format('/{0}/compare/{{base}}...{{head}}', github.repository) }}
|
||||
|
||||
github_context_json: ${{ toJSON(github) }}
|
||||
job_env_json: ${{ toJSON(env) }}
|
||||
vars_json: ${{ toJSON(vars) }}
|
||||
|
||||
run: .github/workflows/scripts/docker-ci-summary.sh >> $GITHUB_STEP_SUMMARY
|
||||
continue-on-error: true
|
||||
|
|
@ -1,166 +0,0 @@
|
|||
name: Classic - AutoGPT Docker CI
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [master, dev]
|
||||
paths:
|
||||
- '.github/workflows/classic-autogpt-docker-ci.yml'
|
||||
- 'classic/original_autogpt/**'
|
||||
- 'classic/forge/**'
|
||||
pull_request:
|
||||
branches: [ master, dev, release-* ]
|
||||
paths:
|
||||
- '.github/workflows/classic-autogpt-docker-ci.yml'
|
||||
- 'classic/original_autogpt/**'
|
||||
- 'classic/forge/**'
|
||||
|
||||
concurrency:
|
||||
group: ${{ format('classic-autogpt-docker-ci-{0}', github.head_ref && format('pr-{0}', github.event.pull_request.number) || github.sha) }}
|
||||
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
|
||||
|
||||
defaults:
|
||||
run:
|
||||
working-directory: classic/original_autogpt
|
||||
|
||||
env:
|
||||
IMAGE_NAME: auto-gpt
|
||||
DEPLOY_IMAGE_NAME: ${{ secrets.DOCKER_USER && format('{0}/', secrets.DOCKER_USER) || '' }}auto-gpt
|
||||
DEV_IMAGE_TAG: latest-dev
|
||||
|
||||
jobs:
|
||||
build:
|
||||
runs-on: ubuntu-latest
|
||||
strategy:
|
||||
matrix:
|
||||
build-type: [release, dev]
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v3
|
||||
|
||||
- if: runner.debug
|
||||
run: |
|
||||
ls -al
|
||||
du -hs *
|
||||
|
||||
- id: build
|
||||
name: Build image
|
||||
uses: docker/build-push-action@v6
|
||||
with:
|
||||
context: classic/
|
||||
file: classic/Dockerfile.autogpt
|
||||
build-args: BUILD_TYPE=${{ matrix.build-type }}
|
||||
tags: ${{ env.IMAGE_NAME }}
|
||||
labels: GIT_REVISION=${{ github.sha }}
|
||||
load: true # save to docker images
|
||||
# cache layers in GitHub Actions cache to speed up builds
|
||||
cache-from: type=gha,scope=autogpt-docker-${{ matrix.build-type }}
|
||||
cache-to: type=gha,scope=autogpt-docker-${{ matrix.build-type }},mode=max
|
||||
|
||||
- name: Generate build report
|
||||
env:
|
||||
event_name: ${{ github.event_name }}
|
||||
event_ref: ${{ github.event.ref }}
|
||||
event_ref_type: ${{ github.event.ref}}
|
||||
|
||||
build_type: ${{ matrix.build-type }}
|
||||
|
||||
prod_branch: master
|
||||
dev_branch: dev
|
||||
repository: ${{ github.repository }}
|
||||
base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'dev' && 'dev' || 'master' }}
|
||||
|
||||
current_ref: ${{ github.ref_name }}
|
||||
commit_hash: ${{ github.event.after }}
|
||||
source_url: ${{ format('{0}/tree/{1}', github.event.repository.url, github.event.release && github.event.release.tag_name || github.sha) }}
|
||||
push_forced_label: ${{ github.event.forced && '☢️ forced' || '' }}
|
||||
|
||||
new_commits_json: ${{ toJSON(github.event.commits) }}
|
||||
compare_url_template: ${{ format('/{0}/compare/{{base}}...{{head}}', github.repository) }}
|
||||
|
||||
github_context_json: ${{ toJSON(github) }}
|
||||
job_env_json: ${{ toJSON(env) }}
|
||||
vars_json: ${{ toJSON(vars) }}
|
||||
|
||||
run: .github/workflows/scripts/docker-ci-summary.sh >> $GITHUB_STEP_SUMMARY
|
||||
continue-on-error: true
|
||||
|
||||
test:
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 10
|
||||
|
||||
services:
|
||||
minio:
|
||||
image: minio/minio:edge-cicd
|
||||
options: >
|
||||
--name=minio
|
||||
--health-interval=10s --health-timeout=5s --health-retries=3
|
||||
--health-cmd="curl -f http://localhost:9000/minio/health/live"
|
||||
|
||||
steps:
|
||||
- name: Check out repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
submodules: true
|
||||
|
||||
- if: github.event_name == 'push'
|
||||
name: Log in to Docker hub
|
||||
uses: docker/login-action@v3
|
||||
with:
|
||||
username: ${{ secrets.DOCKER_USER }}
|
||||
password: ${{ secrets.DOCKER_PASSWORD }}
|
||||
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v3
|
||||
|
||||
- id: build
|
||||
name: Build image
|
||||
uses: docker/build-push-action@v6
|
||||
with:
|
||||
context: classic/
|
||||
file: classic/Dockerfile.autogpt
|
||||
build-args: BUILD_TYPE=dev # include pytest
|
||||
tags: >
|
||||
${{ env.IMAGE_NAME }},
|
||||
${{ env.DEPLOY_IMAGE_NAME }}:${{ env.DEV_IMAGE_TAG }}
|
||||
labels: GIT_REVISION=${{ github.sha }}
|
||||
load: true # save to docker images
|
||||
# cache layers in GitHub Actions cache to speed up builds
|
||||
cache-from: type=gha,scope=autogpt-docker-dev
|
||||
cache-to: type=gha,scope=autogpt-docker-dev,mode=max
|
||||
|
||||
- id: test
|
||||
name: Run tests
|
||||
env:
|
||||
CI: true
|
||||
PLAIN_OUTPUT: True
|
||||
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
|
||||
S3_ENDPOINT_URL: http://minio:9000
|
||||
AWS_ACCESS_KEY_ID: minioadmin
|
||||
AWS_SECRET_ACCESS_KEY: minioadmin
|
||||
run: |
|
||||
set +e
|
||||
docker run --env CI --env OPENAI_API_KEY \
|
||||
--network container:minio \
|
||||
--env S3_ENDPOINT_URL --env AWS_ACCESS_KEY_ID --env AWS_SECRET_ACCESS_KEY \
|
||||
--entrypoint poetry ${{ env.IMAGE_NAME }} run \
|
||||
pytest -v --cov=autogpt --cov-branch --cov-report term-missing \
|
||||
--numprocesses=4 --durations=10 \
|
||||
tests/unit tests/integration 2>&1 | tee test_output.txt
|
||||
|
||||
test_failure=${PIPESTATUS[0]}
|
||||
|
||||
cat << $EOF >> $GITHUB_STEP_SUMMARY
|
||||
# Tests $([ $test_failure = 0 ] && echo '✅' || echo '❌')
|
||||
\`\`\`
|
||||
$(cat test_output.txt)
|
||||
\`\`\`
|
||||
$EOF
|
||||
|
||||
exit $test_failure
|
||||
|
||||
- if: github.event_name == 'push' && github.ref_name == 'master'
|
||||
name: Push image to Docker Hub
|
||||
run: docker push ${{ env.DEPLOY_IMAGE_NAME }}:${{ env.DEV_IMAGE_TAG }}
|
||||
|
|
@ -1,87 +0,0 @@
|
|||
name: Classic - AutoGPT Docker Release
|
||||
|
||||
on:
|
||||
release:
|
||||
types: [published, edited]
|
||||
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
no_cache:
|
||||
type: boolean
|
||||
description: 'Build from scratch, without using cached layers'
|
||||
|
||||
env:
|
||||
IMAGE_NAME: auto-gpt
|
||||
DEPLOY_IMAGE_NAME: ${{ secrets.DOCKER_USER }}/auto-gpt
|
||||
|
||||
jobs:
|
||||
build:
|
||||
if: startsWith(github.ref, 'refs/tags/autogpt-')
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Log in to Docker hub
|
||||
uses: docker/login-action@v3
|
||||
with:
|
||||
username: ${{ secrets.DOCKER_USER }}
|
||||
password: ${{ secrets.DOCKER_PASSWORD }}
|
||||
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v3
|
||||
|
||||
# slashes are not allowed in image tags, but can appear in git branch or tag names
|
||||
- id: sanitize_tag
|
||||
name: Sanitize image tag
|
||||
run: |
|
||||
tag=${raw_tag//\//-}
|
||||
echo tag=${tag#autogpt-} >> $GITHUB_OUTPUT
|
||||
env:
|
||||
raw_tag: ${{ github.ref_name }}
|
||||
|
||||
- id: build
|
||||
name: Build image
|
||||
uses: docker/build-push-action@v6
|
||||
with:
|
||||
context: classic/
|
||||
file: Dockerfile.autogpt
|
||||
build-args: BUILD_TYPE=release
|
||||
load: true # save to docker images
|
||||
# push: true # TODO: uncomment when this issue is fixed: https://github.com/moby/buildkit/issues/1555
|
||||
tags: >
|
||||
${{ env.IMAGE_NAME }},
|
||||
${{ env.DEPLOY_IMAGE_NAME }}:latest,
|
||||
${{ env.DEPLOY_IMAGE_NAME }}:${{ steps.sanitize_tag.outputs.tag }}
|
||||
labels: GIT_REVISION=${{ github.sha }}
|
||||
|
||||
# cache layers in GitHub Actions cache to speed up builds
|
||||
cache-from: ${{ !inputs.no_cache && 'type=gha' || '' }},scope=autogpt-docker-release
|
||||
cache-to: type=gha,scope=autogpt-docker-release,mode=max
|
||||
|
||||
- name: Push image to Docker Hub
|
||||
run: docker push --all-tags ${{ env.DEPLOY_IMAGE_NAME }}
|
||||
|
||||
- name: Generate build report
|
||||
env:
|
||||
event_name: ${{ github.event_name }}
|
||||
event_ref: ${{ github.event.ref }}
|
||||
event_ref_type: ${{ github.event.ref}}
|
||||
inputs_no_cache: ${{ inputs.no_cache }}
|
||||
|
||||
prod_branch: master
|
||||
dev_branch: dev
|
||||
repository: ${{ github.repository }}
|
||||
base_branch: ${{ github.ref_name != 'master' && github.ref_name != 'dev' && 'dev' || 'master' }}
|
||||
|
||||
ref_type: ${{ github.ref_type }}
|
||||
current_ref: ${{ github.ref_name }}
|
||||
commit_hash: ${{ github.sha }}
|
||||
source_url: ${{ format('{0}/tree/{1}', github.event.repository.url, github.event.release && github.event.release.tag_name || github.sha) }}
|
||||
|
||||
github_context_json: ${{ toJSON(github) }}
|
||||
job_env_json: ${{ toJSON(env) }}
|
||||
vars_json: ${{ toJSON(vars) }}
|
||||
|
||||
run: .github/workflows/scripts/docker-release-summary.sh >> $GITHUB_STEP_SUMMARY
|
||||
continue-on-error: true
|
||||
|
|
@ -1,76 +0,0 @@
|
|||
name: Classic - Agent smoke tests
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
schedule:
|
||||
- cron: '0 8 * * *'
|
||||
push:
|
||||
branches: [ master, dev, ci-test* ]
|
||||
paths:
|
||||
- '.github/workflows/classic-autogpts-ci.yml'
|
||||
- 'classic/original_autogpt/**'
|
||||
- 'classic/forge/**'
|
||||
- 'classic/benchmark/**'
|
||||
- 'classic/run'
|
||||
- 'classic/cli.py'
|
||||
- 'classic/setup.py'
|
||||
- '!**/*.md'
|
||||
pull_request:
|
||||
branches: [ master, dev, release-* ]
|
||||
paths:
|
||||
- '.github/workflows/classic-autogpts-ci.yml'
|
||||
- 'classic/original_autogpt/**'
|
||||
- 'classic/forge/**'
|
||||
- 'classic/benchmark/**'
|
||||
- 'classic/run'
|
||||
- 'classic/cli.py'
|
||||
- 'classic/setup.py'
|
||||
- '!**/*.md'
|
||||
|
||||
defaults:
|
||||
run:
|
||||
shell: bash
|
||||
working-directory: classic
|
||||
|
||||
jobs:
|
||||
serve-agent-protocol:
|
||||
runs-on: ubuntu-latest
|
||||
strategy:
|
||||
matrix:
|
||||
agent-name: [ original_autogpt ]
|
||||
fail-fast: false
|
||||
timeout-minutes: 20
|
||||
env:
|
||||
min-python-version: '3.10'
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
submodules: true
|
||||
|
||||
- name: Set up Python ${{ env.min-python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: ${{ env.min-python-version }}
|
||||
|
||||
- name: Install Poetry
|
||||
working-directory: ./classic/${{ matrix.agent-name }}/
|
||||
run: |
|
||||
curl -sSL https://install.python-poetry.org | python -
|
||||
|
||||
- name: Run regression tests
|
||||
run: |
|
||||
./run agent start ${{ matrix.agent-name }}
|
||||
cd ${{ matrix.agent-name }}
|
||||
poetry run agbenchmark --mock --test=BasicRetrieval --test=Battleship --test=WebArenaTask_0
|
||||
poetry run agbenchmark --test=WriteFile
|
||||
env:
|
||||
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
|
||||
AGENT_NAME: ${{ matrix.agent-name }}
|
||||
REQUESTS_CA_BUNDLE: /etc/ssl/certs/ca-certificates.crt
|
||||
HELICONE_CACHE_ENABLED: false
|
||||
HELICONE_PROPERTY_AGENT: ${{ matrix.agent-name }}
|
||||
REPORTS_FOLDER: ${{ format('../../reports/{0}', matrix.agent-name) }}
|
||||
TELEMETRY_ENVIRONMENT: autogpt-ci
|
||||
TELEMETRY_OPT_IN: ${{ github.ref_name == 'master' }}
|
||||
|
|
@ -1,169 +0,0 @@
|
|||
name: Classic - AGBenchmark CI
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [ master, dev, ci-test* ]
|
||||
paths:
|
||||
- 'classic/benchmark/**'
|
||||
- '!classic/benchmark/reports/**'
|
||||
- .github/workflows/classic-benchmark-ci.yml
|
||||
pull_request:
|
||||
branches: [ master, dev, release-* ]
|
||||
paths:
|
||||
- 'classic/benchmark/**'
|
||||
- '!classic/benchmark/reports/**'
|
||||
- .github/workflows/classic-benchmark-ci.yml
|
||||
|
||||
concurrency:
|
||||
group: ${{ format('benchmark-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
|
||||
cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
|
||||
|
||||
defaults:
|
||||
run:
|
||||
shell: bash
|
||||
|
||||
env:
|
||||
min-python-version: '3.10'
|
||||
|
||||
jobs:
|
||||
test:
|
||||
permissions:
|
||||
contents: read
|
||||
timeout-minutes: 30
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
python-version: ["3.10"]
|
||||
platform-os: [ubuntu, macos, macos-arm64, windows]
|
||||
runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
|
||||
defaults:
|
||||
run:
|
||||
shell: bash
|
||||
working-directory: classic/benchmark
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
submodules: true
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
|
||||
- name: Set up Python dependency cache
|
||||
# On Windows, unpacking cached dependencies takes longer than just installing them
|
||||
if: runner.os != 'Windows'
|
||||
uses: actions/cache@v4
|
||||
with:
|
||||
path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
|
||||
key: poetry-${{ runner.os }}-${{ hashFiles('classic/benchmark/poetry.lock') }}
|
||||
|
||||
- name: Install Poetry (Unix)
|
||||
if: runner.os != 'Windows'
|
||||
run: |
|
||||
curl -sSL https://install.python-poetry.org | python3 -
|
||||
|
||||
if [ "${{ runner.os }}" = "macOS" ]; then
|
||||
PATH="$HOME/.local/bin:$PATH"
|
||||
echo "$HOME/.local/bin" >> $GITHUB_PATH
|
||||
fi
|
||||
|
||||
- name: Install Poetry (Windows)
|
||||
if: runner.os == 'Windows'
|
||||
shell: pwsh
|
||||
run: |
|
||||
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
|
||||
|
||||
$env:PATH += ";$env:APPDATA\Python\Scripts"
|
||||
echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
|
||||
|
||||
- name: Install Python dependencies
|
||||
run: poetry install
|
||||
|
||||
- name: Run pytest with coverage
|
||||
run: |
|
||||
poetry run pytest -vv \
|
||||
--cov=agbenchmark --cov-branch --cov-report term-missing --cov-report xml \
|
||||
--durations=10 \
|
||||
tests
|
||||
env:
|
||||
CI: true
|
||||
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
|
||||
|
||||
- name: Upload coverage reports to Codecov
|
||||
uses: codecov/codecov-action@v4
|
||||
with:
|
||||
token: ${{ secrets.CODECOV_TOKEN }}
|
||||
flags: agbenchmark,${{ runner.os }}
|
||||
|
||||
self-test-with-agent:
|
||||
runs-on: ubuntu-latest
|
||||
strategy:
|
||||
matrix:
|
||||
agent-name: [forge]
|
||||
fail-fast: false
|
||||
timeout-minutes: 20
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
submodules: true
|
||||
|
||||
- name: Set up Python ${{ env.min-python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: ${{ env.min-python-version }}
|
||||
|
||||
- name: Install Poetry
|
||||
run: |
|
||||
curl -sSL https://install.python-poetry.org | python -
|
||||
|
||||
- name: Run regression tests
|
||||
working-directory: classic
|
||||
run: |
|
||||
./run agent start ${{ matrix.agent-name }}
|
||||
cd ${{ matrix.agent-name }}
|
||||
|
||||
set +e # Ignore non-zero exit codes and continue execution
|
||||
echo "Running the following command: poetry run agbenchmark --maintain --mock"
|
||||
poetry run agbenchmark --maintain --mock
|
||||
EXIT_CODE=$?
|
||||
set -e # Stop ignoring non-zero exit codes
|
||||
# Check if the exit code was 5, and if so, exit with 0 instead
|
||||
if [ $EXIT_CODE -eq 5 ]; then
|
||||
echo "regression_tests.json is empty."
|
||||
fi
|
||||
|
||||
echo "Running the following command: poetry run agbenchmark --mock"
|
||||
poetry run agbenchmark --mock
|
||||
|
||||
echo "Running the following command: poetry run agbenchmark --mock --category=data"
|
||||
poetry run agbenchmark --mock --category=data
|
||||
|
||||
echo "Running the following command: poetry run agbenchmark --mock --category=coding"
|
||||
poetry run agbenchmark --mock --category=coding
|
||||
|
||||
# echo "Running the following command: poetry run agbenchmark --test=WriteFile"
|
||||
# poetry run agbenchmark --test=WriteFile
|
||||
cd ../benchmark
|
||||
poetry install
|
||||
echo "Adding the BUILD_SKILL_TREE environment variable. This will attempt to add new elements in the skill tree. If new elements are added, the CI fails because they should have been pushed"
|
||||
export BUILD_SKILL_TREE=true
|
||||
|
||||
# poetry run agbenchmark --mock
|
||||
|
||||
# CHANGED=$(git diff --name-only | grep -E '(agbenchmark/challenges)|(../classic/frontend/assets)') || echo "No diffs"
|
||||
# if [ ! -z "$CHANGED" ]; then
|
||||
# echo "There are unstaged changes please run agbenchmark and commit those changes since they are needed."
|
||||
# echo "$CHANGED"
|
||||
# exit 1
|
||||
# else
|
||||
# echo "No unstaged changes."
|
||||
# fi
|
||||
env:
|
||||
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
|
||||
TELEMETRY_ENVIRONMENT: autogpt-benchmark-ci
|
||||
TELEMETRY_OPT_IN: ${{ github.ref_name == 'master' }}
|
||||
|
|
@ -1,55 +0,0 @@
|
|||
name: Classic - Publish to PyPI
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
|
||||
jobs:
|
||||
deploy:
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
contents: write
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
submodules: true
|
||||
fetch-depth: 0
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: 3.8
|
||||
|
||||
- name: Install Poetry
|
||||
working-directory: ./classic/benchmark/
|
||||
run: |
|
||||
curl -sSL https://install.python-poetry.org | python3 -
|
||||
echo "$HOME/.poetry/bin" >> $GITHUB_PATH
|
||||
|
||||
- name: Build project for distribution
|
||||
working-directory: ./classic/benchmark/
|
||||
run: poetry build
|
||||
|
||||
- name: Install dependencies
|
||||
working-directory: ./classic/benchmark/
|
||||
run: poetry install
|
||||
|
||||
- name: Check Version
|
||||
working-directory: ./classic/benchmark/
|
||||
id: check-version
|
||||
run: |
|
||||
echo version=$(poetry version --short) >> $GITHUB_OUTPUT
|
||||
|
||||
- name: Create Release
|
||||
uses: ncipollo/release-action@v1
|
||||
with:
|
||||
artifacts: "classic/benchmark/dist/*"
|
||||
token: ${{ secrets.GITHUB_TOKEN }}
|
||||
draft: false
|
||||
generateReleaseNotes: false
|
||||
tag: agbenchmark-v${{ steps.check-version.outputs.version }}
|
||||
commit: master
|
||||
|
||||
- name: Build and publish
|
||||
working-directory: ./classic/benchmark/
|
||||
run: poetry publish -u __token__ -p ${{ secrets.PYPI_API_TOKEN }}
|
||||
|
|
@ -1,236 +0,0 @@
|
|||
name: Classic - Forge CI
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [ master, dev, ci-test* ]
|
||||
paths:
|
||||
- '.github/workflows/classic-forge-ci.yml'
|
||||
- 'classic/forge/**'
|
||||
- '!classic/forge/tests/vcr_cassettes'
|
||||
pull_request:
|
||||
branches: [ master, dev, release-* ]
|
||||
paths:
|
||||
- '.github/workflows/classic-forge-ci.yml'
|
||||
- 'classic/forge/**'
|
||||
- '!classic/forge/tests/vcr_cassettes'
|
||||
|
||||
concurrency:
|
||||
group: ${{ format('forge-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
|
||||
cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
|
||||
|
||||
defaults:
|
||||
run:
|
||||
shell: bash
|
||||
working-directory: classic/forge
|
||||
|
||||
jobs:
|
||||
test:
|
||||
permissions:
|
||||
contents: read
|
||||
timeout-minutes: 30
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
python-version: ["3.10"]
|
||||
platform-os: [ubuntu, macos, macos-arm64, windows]
|
||||
runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
|
||||
|
||||
steps:
|
||||
# Quite slow on macOS (2~4 minutes to set up Docker)
|
||||
# - name: Set up Docker (macOS)
|
||||
# if: runner.os == 'macOS'
|
||||
# uses: crazy-max/ghaction-setup-docker@v3
|
||||
|
||||
- name: Start MinIO service (Linux)
|
||||
if: runner.os == 'Linux'
|
||||
working-directory: '.'
|
||||
run: |
|
||||
docker pull minio/minio:edge-cicd
|
||||
docker run -d -p 9000:9000 minio/minio:edge-cicd
|
||||
|
||||
- name: Start MinIO service (macOS)
|
||||
if: runner.os == 'macOS'
|
||||
working-directory: ${{ runner.temp }}
|
||||
run: |
|
||||
brew install minio/stable/minio
|
||||
mkdir data
|
||||
minio server ./data &
|
||||
|
||||
# No MinIO on Windows:
|
||||
# - Windows doesn't support running Linux Docker containers
|
||||
# - It doesn't seem possible to start background processes on Windows. They are
|
||||
# killed after the step returns.
|
||||
# See: https://github.com/actions/runner/issues/598#issuecomment-2011890429
|
||||
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
submodules: true
|
||||
|
||||
- name: Checkout cassettes
|
||||
if: ${{ startsWith(github.event_name, 'pull_request') }}
|
||||
env:
|
||||
PR_BASE: ${{ github.event.pull_request.base.ref }}
|
||||
PR_BRANCH: ${{ github.event.pull_request.head.ref }}
|
||||
PR_AUTHOR: ${{ github.event.pull_request.user.login }}
|
||||
run: |
|
||||
cassette_branch="${PR_AUTHOR}-${PR_BRANCH}"
|
||||
cassette_base_branch="${PR_BASE}"
|
||||
cd tests/vcr_cassettes
|
||||
|
||||
if ! git ls-remote --exit-code --heads origin $cassette_base_branch ; then
|
||||
cassette_base_branch="master"
|
||||
fi
|
||||
|
||||
if git ls-remote --exit-code --heads origin $cassette_branch ; then
|
||||
git fetch origin $cassette_branch
|
||||
git fetch origin $cassette_base_branch
|
||||
|
||||
git checkout $cassette_branch
|
||||
|
||||
# Pick non-conflicting cassette updates from the base branch
|
||||
git merge --no-commit --strategy-option=ours origin/$cassette_base_branch
|
||||
echo "Using cassettes from mirror branch '$cassette_branch'," \
|
||||
"synced to upstream branch '$cassette_base_branch'."
|
||||
else
|
||||
git checkout -b $cassette_branch
|
||||
echo "Branch '$cassette_branch' does not exist in cassette submodule." \
|
||||
"Using cassettes from '$cassette_base_branch'."
|
||||
fi
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
|
||||
- name: Set up Python dependency cache
|
||||
# On Windows, unpacking cached dependencies takes longer than just installing them
|
||||
if: runner.os != 'Windows'
|
||||
uses: actions/cache@v4
|
||||
with:
|
||||
path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
|
||||
key: poetry-${{ runner.os }}-${{ hashFiles('classic/forge/poetry.lock') }}
|
||||
|
||||
- name: Install Poetry (Unix)
|
||||
if: runner.os != 'Windows'
|
||||
run: |
|
||||
curl -sSL https://install.python-poetry.org | python3 -
|
||||
|
||||
if [ "${{ runner.os }}" = "macOS" ]; then
|
||||
PATH="$HOME/.local/bin:$PATH"
|
||||
echo "$HOME/.local/bin" >> $GITHUB_PATH
|
||||
fi
|
||||
|
||||
- name: Install Poetry (Windows)
|
||||
if: runner.os == 'Windows'
|
||||
shell: pwsh
|
||||
run: |
|
||||
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
|
||||
|
||||
$env:PATH += ";$env:APPDATA\Python\Scripts"
|
||||
echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
|
||||
|
||||
- name: Install Python dependencies
|
||||
run: poetry install
|
||||
|
||||
- name: Run pytest with coverage
|
||||
run: |
|
||||
poetry run pytest -vv \
|
||||
--cov=forge --cov-branch --cov-report term-missing --cov-report xml \
|
||||
--durations=10 \
|
||||
forge
|
||||
env:
|
||||
CI: true
|
||||
PLAIN_OUTPUT: True
|
||||
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
|
||||
S3_ENDPOINT_URL: ${{ runner.os != 'Windows' && 'http://127.0.0.1:9000' || '' }}
|
||||
AWS_ACCESS_KEY_ID: minioadmin
|
||||
AWS_SECRET_ACCESS_KEY: minioadmin
|
||||
|
||||
- name: Upload coverage reports to Codecov
|
||||
uses: codecov/codecov-action@v4
|
||||
with:
|
||||
token: ${{ secrets.CODECOV_TOKEN }}
|
||||
flags: forge,${{ runner.os }}
|
||||
|
||||
- id: setup_git_auth
|
||||
name: Set up git token authentication
|
||||
# Cassettes may be pushed even when tests fail
|
||||
if: success() || failure()
|
||||
run: |
|
||||
config_key="http.${{ github.server_url }}/.extraheader"
|
||||
if [ "${{ runner.os }}" = 'macOS' ]; then
|
||||
base64_pat=$(echo -n "pat:${{ secrets.PAT_REVIEW }}" | base64)
|
||||
else
|
||||
base64_pat=$(echo -n "pat:${{ secrets.PAT_REVIEW }}" | base64 -w0)
|
||||
fi
|
||||
|
||||
git config "$config_key" \
|
||||
"Authorization: Basic $base64_pat"
|
||||
|
||||
cd tests/vcr_cassettes
|
||||
git config "$config_key" \
|
||||
"Authorization: Basic $base64_pat"
|
||||
|
||||
echo "config_key=$config_key" >> $GITHUB_OUTPUT
|
||||
|
||||
- id: push_cassettes
|
||||
name: Push updated cassettes
|
||||
# For pull requests, push updated cassettes even when tests fail
|
||||
if: github.event_name == 'push' || (! github.event.pull_request.head.repo.fork && (success() || failure()))
|
||||
env:
|
||||
PR_BRANCH: ${{ github.event.pull_request.head.ref }}
|
||||
PR_AUTHOR: ${{ github.event.pull_request.user.login }}
|
||||
run: |
|
||||
if [ "${{ startsWith(github.event_name, 'pull_request') }}" = "true" ]; then
|
||||
is_pull_request=true
|
||||
cassette_branch="${PR_AUTHOR}-${PR_BRANCH}"
|
||||
else
|
||||
cassette_branch="${{ github.ref_name }}"
|
||||
fi
|
||||
|
||||
cd tests/vcr_cassettes
|
||||
# Commit & push changes to cassettes if any
|
||||
if ! git diff --quiet; then
|
||||
git add .
|
||||
git commit -m "Auto-update cassettes"
|
||||
git push origin HEAD:$cassette_branch
|
||||
if [ ! $is_pull_request ]; then
|
||||
cd ../..
|
||||
git add tests/vcr_cassettes
|
||||
git commit -m "Update cassette submodule"
|
||||
git push origin HEAD:$cassette_branch
|
||||
fi
|
||||
echo "updated=true" >> $GITHUB_OUTPUT
|
||||
else
|
||||
echo "updated=false" >> $GITHUB_OUTPUT
|
||||
echo "No cassette changes to commit"
|
||||
fi
|
||||
|
||||
- name: Post Set up git token auth
|
||||
if: steps.setup_git_auth.outcome == 'success'
|
||||
run: |
|
||||
git config --unset-all '${{ steps.setup_git_auth.outputs.config_key }}'
|
||||
git submodule foreach git config --unset-all '${{ steps.setup_git_auth.outputs.config_key }}'
|
||||
|
||||
- name: Apply "behaviour change" label and comment on PR
|
||||
if: ${{ startsWith(github.event_name, 'pull_request') }}
|
||||
run: |
|
||||
PR_NUMBER="${{ github.event.pull_request.number }}"
|
||||
TOKEN="${{ secrets.PAT_REVIEW }}"
|
||||
REPO="${{ github.repository }}"
|
||||
|
||||
if [[ "${{ steps.push_cassettes.outputs.updated }}" == "true" ]]; then
|
||||
echo "Adding label and comment..."
|
||||
echo $TOKEN | gh auth login --with-token
|
||||
gh issue edit $PR_NUMBER --add-label "behaviour change"
|
||||
gh issue comment $PR_NUMBER --body "You changed AutoGPT's behaviour on ${{ runner.os }}. The cassettes have been updated and will be merged to the submodule when this Pull Request gets merged."
|
||||
fi
|
||||
|
||||
- name: Upload logs to artifact
|
||||
if: always()
|
||||
uses: actions/upload-artifact@v4
|
||||
with:
|
||||
name: test-logs
|
||||
path: classic/forge/logs/
|
||||
|
|
@ -1,60 +0,0 @@
|
|||
name: Classic - Frontend CI/CD
|
||||
|
||||
on:
|
||||
push:
|
||||
branches:
|
||||
- master
|
||||
- dev
|
||||
- 'ci-test*' # This will match any branch that starts with "ci-test"
|
||||
paths:
|
||||
- 'classic/frontend/**'
|
||||
- '.github/workflows/classic-frontend-ci.yml'
|
||||
pull_request:
|
||||
paths:
|
||||
- 'classic/frontend/**'
|
||||
- '.github/workflows/classic-frontend-ci.yml'
|
||||
|
||||
jobs:
|
||||
build:
|
||||
permissions:
|
||||
contents: write
|
||||
pull-requests: write
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
BUILD_BRANCH: ${{ format('classic-frontend-build/{0}', github.ref_name) }}
|
||||
|
||||
steps:
|
||||
- name: Checkout Repo
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Setup Flutter
|
||||
uses: subosito/flutter-action@v2
|
||||
with:
|
||||
flutter-version: '3.13.2'
|
||||
|
||||
- name: Build Flutter to Web
|
||||
run: |
|
||||
cd classic/frontend
|
||||
flutter build web --base-href /app/
|
||||
|
||||
# - name: Commit and Push to ${{ env.BUILD_BRANCH }}
|
||||
# if: github.event_name == 'push'
|
||||
# run: |
|
||||
# git config --local user.email "action@github.com"
|
||||
# git config --local user.name "GitHub Action"
|
||||
# git add classic/frontend/build/web
|
||||
# git checkout -B ${{ env.BUILD_BRANCH }}
|
||||
# git commit -m "Update frontend build to ${GITHUB_SHA:0:7}" -a
|
||||
# git push -f origin ${{ env.BUILD_BRANCH }}
|
||||
|
||||
- name: Create PR ${{ env.BUILD_BRANCH }} -> ${{ github.ref_name }}
|
||||
if: github.event_name == 'push'
|
||||
uses: peter-evans/create-pull-request@v7
|
||||
with:
|
||||
add-paths: classic/frontend/build/web
|
||||
base: ${{ github.ref_name }}
|
||||
branch: ${{ env.BUILD_BRANCH }}
|
||||
delete-branch: true
|
||||
title: "Update frontend build in `${{ github.ref_name }}`"
|
||||
body: "This PR updates the frontend build based on commit ${{ github.sha }}."
|
||||
commit-message: "Update frontend build based on commit ${{ github.sha }}"
|
||||
|
|
@ -1,151 +0,0 @@
|
|||
name: Classic - Python checks
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [ master, dev, ci-test* ]
|
||||
paths:
|
||||
- '.github/workflows/classic-python-checks-ci.yml'
|
||||
- 'classic/original_autogpt/**'
|
||||
- 'classic/forge/**'
|
||||
- 'classic/benchmark/**'
|
||||
- '**.py'
|
||||
- '!classic/forge/tests/vcr_cassettes'
|
||||
pull_request:
|
||||
branches: [ master, dev, release-* ]
|
||||
paths:
|
||||
- '.github/workflows/classic-python-checks-ci.yml'
|
||||
- 'classic/original_autogpt/**'
|
||||
- 'classic/forge/**'
|
||||
- 'classic/benchmark/**'
|
||||
- '**.py'
|
||||
- '!classic/forge/tests/vcr_cassettes'
|
||||
|
||||
concurrency:
|
||||
group: ${{ format('classic-python-checks-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
|
||||
cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
|
||||
|
||||
defaults:
|
||||
run:
|
||||
shell: bash
|
||||
|
||||
jobs:
|
||||
get-changed-parts:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- id: changes-in
|
||||
name: Determine affected subprojects
|
||||
uses: dorny/paths-filter@v3
|
||||
with:
|
||||
filters: |
|
||||
original_autogpt:
|
||||
- classic/original_autogpt/autogpt/**
|
||||
- classic/original_autogpt/tests/**
|
||||
- classic/original_autogpt/poetry.lock
|
||||
forge:
|
||||
- classic/forge/forge/**
|
||||
- classic/forge/tests/**
|
||||
- classic/forge/poetry.lock
|
||||
benchmark:
|
||||
- classic/benchmark/agbenchmark/**
|
||||
- classic/benchmark/tests/**
|
||||
- classic/benchmark/poetry.lock
|
||||
outputs:
|
||||
changed-parts: ${{ steps.changes-in.outputs.changes }}
|
||||
|
||||
lint:
|
||||
needs: get-changed-parts
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
min-python-version: "3.10"
|
||||
|
||||
strategy:
|
||||
matrix:
|
||||
sub-package: ${{ fromJson(needs.get-changed-parts.outputs.changed-parts) }}
|
||||
fail-fast: false
|
||||
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
|
||||
- name: Set up Python ${{ env.min-python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: ${{ env.min-python-version }}
|
||||
|
||||
- name: Set up Python dependency cache
|
||||
uses: actions/cache@v4
|
||||
with:
|
||||
path: ~/.cache/pypoetry
|
||||
key: ${{ runner.os }}-poetry-${{ hashFiles(format('{0}/poetry.lock', matrix.sub-package)) }}
|
||||
|
||||
- name: Install Poetry
|
||||
run: curl -sSL https://install.python-poetry.org | python3 -
|
||||
|
||||
# Install dependencies
|
||||
|
||||
- name: Install Python dependencies
|
||||
run: poetry -C classic/${{ matrix.sub-package }} install
|
||||
|
||||
# Lint
|
||||
|
||||
- name: Lint (isort)
|
||||
run: poetry run isort --check .
|
||||
working-directory: classic/${{ matrix.sub-package }}
|
||||
|
||||
- name: Lint (Black)
|
||||
if: success() || failure()
|
||||
run: poetry run black --check .
|
||||
working-directory: classic/${{ matrix.sub-package }}
|
||||
|
||||
- name: Lint (Flake8)
|
||||
if: success() || failure()
|
||||
run: poetry run flake8 .
|
||||
working-directory: classic/${{ matrix.sub-package }}
|
||||
|
||||
types:
|
||||
needs: get-changed-parts
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
min-python-version: "3.10"
|
||||
|
||||
strategy:
|
||||
matrix:
|
||||
sub-package: ${{ fromJson(needs.get-changed-parts.outputs.changed-parts) }}
|
||||
fail-fast: false
|
||||
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
|
||||
- name: Set up Python ${{ env.min-python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: ${{ env.min-python-version }}
|
||||
|
||||
- name: Set up Python dependency cache
|
||||
uses: actions/cache@v4
|
||||
with:
|
||||
path: ~/.cache/pypoetry
|
||||
key: ${{ runner.os }}-poetry-${{ hashFiles(format('{0}/poetry.lock', matrix.sub-package)) }}
|
||||
|
||||
- name: Install Poetry
|
||||
run: curl -sSL https://install.python-poetry.org | python3 -
|
||||
|
||||
# Install dependencies
|
||||
|
||||
- name: Install Python dependencies
|
||||
run: poetry -C classic/${{ matrix.sub-package }} install
|
||||
|
||||
# Typecheck
|
||||
|
||||
- name: Typecheck
|
||||
if: success() || failure()
|
||||
run: poetry run pyright
|
||||
working-directory: classic/${{ matrix.sub-package }}
|
||||
|
|
@ -1,98 +0,0 @@
|
|||
# For most projects, this workflow file will not need changing; you simply need
|
||||
# to commit it to your repository.
|
||||
#
|
||||
# You may wish to alter this file to override the set of languages analyzed,
|
||||
# or to provide custom queries or build logic.
|
||||
#
|
||||
# ******** NOTE ********
|
||||
# We have attempted to detect the languages in your repository. Please check
|
||||
# the `language` matrix defined below to confirm you have the correct set of
|
||||
# supported CodeQL languages.
|
||||
#
|
||||
name: "CodeQL"
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [ "master", "release-*", "dev" ]
|
||||
pull_request:
|
||||
branches: [ "master", "release-*", "dev" ]
|
||||
merge_group:
|
||||
schedule:
|
||||
- cron: '15 4 * * 0'
|
||||
|
||||
jobs:
|
||||
analyze:
|
||||
name: Analyze (${{ matrix.language }})
|
||||
# Runner size impacts CodeQL analysis time. To learn more, please see:
|
||||
# - https://gh.io/recommended-hardware-resources-for-running-codeql
|
||||
# - https://gh.io/supported-runners-and-hardware-resources
|
||||
# - https://gh.io/using-larger-runners (GitHub.com only)
|
||||
# Consider using larger runners or machines with greater resources for possible analysis time improvements.
|
||||
runs-on: ${{ (matrix.language == 'swift' && 'macos-latest') || 'ubuntu-latest' }}
|
||||
permissions:
|
||||
# required for all workflows
|
||||
security-events: write
|
||||
|
||||
# required to fetch internal or private CodeQL packs
|
||||
packages: read
|
||||
|
||||
# only required for workflows in private repositories
|
||||
actions: read
|
||||
contents: read
|
||||
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
include:
|
||||
- language: typescript
|
||||
build-mode: none
|
||||
- language: python
|
||||
build-mode: none
|
||||
# CodeQL supports the following values keywords for 'language': 'c-cpp', 'csharp', 'go', 'java-kotlin', 'javascript-typescript', 'python', 'ruby', 'swift'
|
||||
# Use `c-cpp` to analyze code written in C, C++ or both
|
||||
# Use 'java-kotlin' to analyze code written in Java, Kotlin or both
|
||||
# Use 'javascript-typescript' to analyze code written in JavaScript, TypeScript or both
|
||||
# To learn more about changing the languages that are analyzed or customizing the build mode for your analysis,
|
||||
# see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/customizing-your-advanced-setup-for-code-scanning.
|
||||
# If you are analyzing a compiled language, you can modify the 'build-mode' for that language to customize how
|
||||
# your codebase is analyzed, see https://docs.github.com/en/code-security/code-scanning/creating-an-advanced-setup-for-code-scanning/codeql-code-scanning-for-compiled-languages
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
|
||||
# Initializes the CodeQL tools for scanning.
|
||||
- name: Initialize CodeQL
|
||||
uses: github/codeql-action/init@v3
|
||||
with:
|
||||
languages: ${{ matrix.language }}
|
||||
build-mode: ${{ matrix.build-mode }}
|
||||
# If you wish to specify custom queries, you can do so here or in a config file.
|
||||
# By default, queries listed here will override any specified in a config file.
|
||||
# Prefix the list here with "+" to use these queries and those in the config file.
|
||||
config: |
|
||||
paths-ignore:
|
||||
- classic/frontend/build/**
|
||||
|
||||
# For more details on CodeQL's query packs, refer to: https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs
|
||||
# queries: security-extended,security-and-quality
|
||||
|
||||
# If the analyze step fails for one of the languages you are analyzing with
|
||||
# "We were unable to automatically build your code", modify the matrix above
|
||||
# to set the build mode to "manual" for that language. Then modify this step
|
||||
# to build your code.
|
||||
# ℹ️ Command-line programs to run using the OS shell.
|
||||
# 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
|
||||
- if: matrix.build-mode == 'manual'
|
||||
shell: bash
|
||||
run: |
|
||||
echo 'If you are using a "manual" build mode for one or more of the' \
|
||||
'languages you are analyzing, replace this with the commands to build' \
|
||||
'your code, for example:'
|
||||
echo ' make bootstrap'
|
||||
echo ' make release'
|
||||
exit 1
|
||||
|
||||
- name: Perform CodeQL Analysis
|
||||
uses: github/codeql-action/analyze@v3
|
||||
with:
|
||||
category: "/language:${{matrix.language}}"
|
||||
|
|
@ -1,49 +0,0 @@
|
|||
name: AutoGPT Platform - Deploy Prod Environment
|
||||
|
||||
on:
|
||||
release:
|
||||
types: [published]
|
||||
|
||||
permissions:
|
||||
contents: 'read'
|
||||
id-token: 'write'
|
||||
|
||||
jobs:
|
||||
migrate:
|
||||
environment: production
|
||||
name: Run migrations for AutoGPT Platform
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: '3.11'
|
||||
|
||||
- name: Install Python dependencies
|
||||
run: |
|
||||
python -m pip install --upgrade pip
|
||||
pip install prisma
|
||||
|
||||
- name: Run Backend Migrations
|
||||
working-directory: ./autogpt_platform/backend
|
||||
run: |
|
||||
python -m prisma migrate deploy
|
||||
env:
|
||||
DATABASE_URL: ${{ secrets.BACKEND_DATABASE_URL }}
|
||||
|
||||
|
||||
trigger:
|
||||
needs: migrate
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Trigger deploy workflow
|
||||
uses: peter-evans/repository-dispatch@v3
|
||||
with:
|
||||
token: ${{ secrets.DEPLOY_TOKEN }}
|
||||
repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
|
||||
event-type: build_deploy_prod
|
||||
client-payload: '{"ref": "${{ github.ref }}", "sha": "${{ github.sha }}", "repository": "${{ github.repository }}"}'
|
||||
|
|
@ -1,50 +0,0 @@
|
|||
name: AutoGPT Platform - Deploy Dev Environment
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [ dev ]
|
||||
paths:
|
||||
- 'autogpt_platform/**'
|
||||
|
||||
permissions:
|
||||
contents: 'read'
|
||||
id-token: 'write'
|
||||
|
||||
jobs:
|
||||
migrate:
|
||||
environment: develop
|
||||
name: Run migrations for AutoGPT Platform
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: '3.11'
|
||||
|
||||
- name: Install Python dependencies
|
||||
run: |
|
||||
python -m pip install --upgrade pip
|
||||
pip install prisma
|
||||
|
||||
- name: Run Backend Migrations
|
||||
working-directory: ./autogpt_platform/backend
|
||||
run: |
|
||||
python -m prisma migrate deploy
|
||||
env:
|
||||
DATABASE_URL: ${{ secrets.BACKEND_DATABASE_URL }}
|
||||
|
||||
trigger:
|
||||
needs: migrate
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: Trigger deploy workflow
|
||||
uses: peter-evans/repository-dispatch@v3
|
||||
with:
|
||||
token: ${{ secrets.DEPLOY_TOKEN }}
|
||||
repository: Significant-Gravitas/AutoGPT_cloud_infrastructure
|
||||
event-type: build_deploy_dev
|
||||
client-payload: '{"ref": "${{ github.ref }}", "sha": "${{ github.sha }}", "repository": "${{ github.repository }}"}'
|
||||
|
|
@ -1,147 +0,0 @@
|
|||
name: AutoGPT Platform - Backend CI
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [master, dev, ci-test*]
|
||||
paths:
|
||||
- ".github/workflows/platform-backend-ci.yml"
|
||||
- "autogpt_platform/backend/**"
|
||||
- "autogpt_platform/autogpt_libs/**"
|
||||
pull_request:
|
||||
branches: [master, dev, release-*]
|
||||
paths:
|
||||
- ".github/workflows/platform-backend-ci.yml"
|
||||
- "autogpt_platform/backend/**"
|
||||
- "autogpt_platform/autogpt_libs/**"
|
||||
merge_group:
|
||||
|
||||
concurrency:
|
||||
group: ${{ format('backend-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
|
||||
cancel-in-progress: ${{ startsWith(github.event_name, 'pull_request') }}
|
||||
|
||||
defaults:
|
||||
run:
|
||||
shell: bash
|
||||
working-directory: autogpt_platform/backend
|
||||
|
||||
jobs:
|
||||
test:
|
||||
permissions:
|
||||
contents: read
|
||||
timeout-minutes: 30
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
python-version: ["3.10"]
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
services:
|
||||
redis:
|
||||
image: bitnami/redis:6.2
|
||||
env:
|
||||
REDIS_PASSWORD: testpassword
|
||||
ports:
|
||||
- 6379:6379
|
||||
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
submodules: true
|
||||
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
|
||||
- name: Setup Supabase
|
||||
uses: supabase/setup-cli@v1
|
||||
with:
|
||||
version: latest
|
||||
|
||||
- id: get_date
|
||||
name: Get date
|
||||
run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
|
||||
|
||||
- name: Set up Python dependency cache
|
||||
uses: actions/cache@v4
|
||||
with:
|
||||
path: ~/.cache/pypoetry
|
||||
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
|
||||
|
||||
- name: Install Poetry (Unix)
|
||||
run: |
|
||||
curl -sSL https://install.python-poetry.org | python3 -
|
||||
|
||||
if [ "${{ runner.os }}" = "macOS" ]; then
|
||||
PATH="$HOME/.local/bin:$PATH"
|
||||
echo "$HOME/.local/bin" >> $GITHUB_PATH
|
||||
fi
|
||||
|
||||
- name: Check poetry.lock
|
||||
run: |
|
||||
poetry lock
|
||||
|
||||
if ! git diff --quiet poetry.lock; then
|
||||
echo "Error: poetry.lock not up to date."
|
||||
echo
|
||||
git diff poetry.lock
|
||||
exit 1
|
||||
fi
|
||||
|
||||
- name: Install Python dependencies
|
||||
run: poetry install
|
||||
|
||||
- name: Generate Prisma Client
|
||||
run: poetry run prisma generate
|
||||
|
||||
- id: supabase
|
||||
name: Start Supabase
|
||||
working-directory: .
|
||||
run: |
|
||||
supabase init
|
||||
supabase start --exclude postgres-meta,realtime,storage-api,imgproxy,inbucket,studio,edge-runtime,logflare,vector,supavisor
|
||||
supabase status -o env | sed 's/="/=/; s/"$//' >> $GITHUB_OUTPUT
|
||||
# outputs:
|
||||
# DB_URL, API_URL, GRAPHQL_URL, ANON_KEY, SERVICE_ROLE_KEY, JWT_SECRET
|
||||
|
||||
- name: Run Database Migrations
|
||||
run: poetry run prisma migrate dev --name updates
|
||||
env:
|
||||
DATABASE_URL: ${{ steps.supabase.outputs.DB_URL }}
|
||||
|
||||
- id: lint
|
||||
name: Run Linter
|
||||
run: poetry run lint
|
||||
|
||||
- name: Run pytest with coverage
|
||||
run: |
|
||||
if [[ "${{ runner.debug }}" == "1" ]]; then
|
||||
poetry run pytest -s -vv -o log_cli=true -o log_cli_level=DEBUG test
|
||||
else
|
||||
poetry run pytest -s -vv test
|
||||
fi
|
||||
if: success() || (failure() && steps.lint.outcome == 'failure')
|
||||
env:
|
||||
LOG_LEVEL: ${{ runner.debug && 'DEBUG' || 'INFO' }}
|
||||
DATABASE_URL: ${{ steps.supabase.outputs.DB_URL }}
|
||||
SUPABASE_URL: ${{ steps.supabase.outputs.API_URL }}
|
||||
SUPABASE_SERVICE_ROLE_KEY: ${{ steps.supabase.outputs.SERVICE_ROLE_KEY }}
|
||||
SUPABASE_JWT_SECRET: ${{ steps.supabase.outputs.JWT_SECRET }}
|
||||
REDIS_HOST: 'localhost'
|
||||
REDIS_PORT: '6379'
|
||||
REDIS_PASSWORD: 'testpassword'
|
||||
|
||||
env:
|
||||
CI: true
|
||||
PLAIN_OUTPUT: True
|
||||
RUN_ENV: local
|
||||
PORT: 8080
|
||||
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
|
||||
|
||||
# - name: Upload coverage reports to Codecov
|
||||
# uses: codecov/codecov-action@v4
|
||||
# with:
|
||||
# token: ${{ secrets.CODECOV_TOKEN }}
|
||||
# flags: backend,${{ runner.os }}
|
||||
|
|
@ -1,101 +0,0 @@
|
|||
name: AutoGPT Platform - Frontend CI
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [master, dev]
|
||||
paths:
|
||||
- ".github/workflows/platform-frontend-ci.yml"
|
||||
- "autogpt_platform/frontend/**"
|
||||
pull_request:
|
||||
paths:
|
||||
- ".github/workflows/platform-frontend-ci.yml"
|
||||
- "autogpt_platform/frontend/**"
|
||||
merge_group:
|
||||
|
||||
defaults:
|
||||
run:
|
||||
shell: bash
|
||||
working-directory: autogpt_platform/frontend
|
||||
|
||||
jobs:
|
||||
lint:
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Set up Node.js
|
||||
uses: actions/setup-node@v4
|
||||
with:
|
||||
node-version: "21"
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
yarn install --frozen-lockfile
|
||||
|
||||
- name: Run lint
|
||||
run: |
|
||||
yarn lint
|
||||
|
||||
test:
|
||||
runs-on: ubuntu-latest
|
||||
strategy:
|
||||
fail-fast: false
|
||||
matrix:
|
||||
browser: [chromium, webkit]
|
||||
|
||||
steps:
|
||||
- name: Checkout repository
|
||||
uses: actions/checkout@v4
|
||||
with:
|
||||
submodules: recursive
|
||||
|
||||
- name: Set up Node.js
|
||||
uses: actions/setup-node@v4
|
||||
with:
|
||||
node-version: "21"
|
||||
|
||||
- name: Free Disk Space (Ubuntu)
|
||||
uses: jlumbroso/free-disk-space@main
|
||||
with:
|
||||
large-packages: false # slow
|
||||
docker-images: false # limited benefit
|
||||
|
||||
- name: Copy default supabase .env
|
||||
run: |
|
||||
cp ../supabase/docker/.env.example ../.env
|
||||
|
||||
- name: Copy backend .env
|
||||
run: |
|
||||
cp ../backend/.env.example ../backend/.env
|
||||
|
||||
- name: Run docker compose
|
||||
run: |
|
||||
docker compose -f ../docker-compose.yml up -d
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
yarn install --frozen-lockfile
|
||||
|
||||
- name: Setup Builder .env
|
||||
run: |
|
||||
cp .env.example .env
|
||||
|
||||
- name: Install Browser '${{ matrix.browser }}'
|
||||
run: yarn playwright install --with-deps ${{ matrix.browser }}
|
||||
|
||||
- name: Run tests
|
||||
run: |
|
||||
yarn test --project=${{ matrix.browser }}
|
||||
|
||||
- name: Print Docker Compose logs in debug mode
|
||||
if: runner.debug
|
||||
run: |
|
||||
docker compose -f ../docker-compose.yml logs
|
||||
|
||||
- uses: actions/upload-artifact@v4
|
||||
if: ${{ !cancelled() }}
|
||||
with:
|
||||
name: playwright-report-${{ matrix.browser }}
|
||||
path: playwright-report/
|
||||
retention-days: 30
|
||||
|
|
@ -1,34 +0,0 @@
|
|||
name: Repo - Close stale issues
|
||||
on:
|
||||
schedule:
|
||||
- cron: '30 1 * * *'
|
||||
workflow_dispatch:
|
||||
|
||||
permissions:
|
||||
issues: write
|
||||
|
||||
jobs:
|
||||
stale:
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/stale@v9
|
||||
with:
|
||||
# operations-per-run: 5000
|
||||
stale-issue-message: >
|
||||
This issue has automatically been marked as _stale_ because it has not had
|
||||
any activity in the last 50 days. You can _unstale_ it by commenting or
|
||||
removing the label. Otherwise, this issue will be closed in 10 days.
|
||||
stale-pr-message: >
|
||||
This pull request has automatically been marked as _stale_ because it has
|
||||
not had any activity in the last 50 days. You can _unstale_ it by commenting
|
||||
or removing the label.
|
||||
close-issue-message: >
|
||||
This issue was closed automatically because it has been stale for 10 days
|
||||
with no activity.
|
||||
days-before-stale: 50
|
||||
days-before-close: 10
|
||||
# Do not touch meta issues:
|
||||
exempt-issue-labels: meta,fridge,project management
|
||||
# Do not affect pull requests:
|
||||
days-before-pr-stale: -1
|
||||
days-before-pr-close: -1
|
||||
|
|
@ -1,21 +0,0 @@
|
|||
name: Repo - Enforce dev as base branch
|
||||
on:
|
||||
pull_request_target:
|
||||
branches: [ master ]
|
||||
types: [ opened ]
|
||||
|
||||
jobs:
|
||||
check_pr_target:
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
pull-requests: write
|
||||
steps:
|
||||
- name: Check if PR is from dev or hotfix
|
||||
if: ${{ !(startsWith(github.event.pull_request.head.ref, 'hotfix/') || github.event.pull_request.head.ref == 'dev') }}
|
||||
run: |
|
||||
gh pr comment ${{ github.event.number }} --repo "$REPO" \
|
||||
--body $'This PR targets the `master` branch but does not come from `dev` or a `hotfix/*` branch.\n\nAutomatically setting the base branch to `dev`.'
|
||||
gh pr edit ${{ github.event.number }} --base dev --repo "$REPO"
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ github.token }}
|
||||
REPO: ${{ github.repository }}
|
||||
|
|
@ -1,66 +0,0 @@
|
|||
name: Repo - Pull Request auto-label
|
||||
|
||||
on:
|
||||
# So that PRs touching the same files as the push are updated
|
||||
push:
|
||||
branches: [ master, dev, release-* ]
|
||||
paths-ignore:
|
||||
- 'classic/forge/tests/vcr_cassettes'
|
||||
- 'classic/benchmark/reports/**'
|
||||
# So that the `dirtyLabel` is removed if conflicts are resolve
|
||||
# We recommend `pull_request_target` so that github secrets are available.
|
||||
# In `pull_request` we wouldn't be able to change labels of fork PRs
|
||||
pull_request_target:
|
||||
types: [ opened, synchronize ]
|
||||
|
||||
concurrency:
|
||||
group: ${{ format('pr-label-{0}', github.event.pull_request.number || github.sha) }}
|
||||
cancel-in-progress: true
|
||||
|
||||
jobs:
|
||||
conflicts:
|
||||
runs-on: ubuntu-latest
|
||||
permissions:
|
||||
contents: read
|
||||
pull-requests: write
|
||||
steps:
|
||||
- name: Update PRs with conflict labels
|
||||
uses: eps1lon/actions-label-merge-conflict@releases/2.x
|
||||
with:
|
||||
dirtyLabel: "conflicts"
|
||||
#removeOnDirtyLabel: "PR: ready to ship"
|
||||
repoToken: "${{ secrets.GITHUB_TOKEN }}"
|
||||
commentOnDirty: "This pull request has conflicts with the base branch, please resolve those so we can evaluate the pull request."
|
||||
commentOnClean: "Conflicts have been resolved! 🎉 A maintainer will review the pull request shortly."
|
||||
|
||||
size:
|
||||
if: ${{ github.event_name == 'pull_request_target' }}
|
||||
permissions:
|
||||
issues: write
|
||||
pull-requests: write
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: codelytv/pr-size-labeler@v1
|
||||
with:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
xs_label: 'size/xs'
|
||||
xs_max_size: 2
|
||||
s_label: 'size/s'
|
||||
s_max_size: 10
|
||||
m_label: 'size/m'
|
||||
m_max_size: 100
|
||||
l_label: 'size/l'
|
||||
l_max_size: 500
|
||||
xl_label: 'size/xl'
|
||||
message_if_xl:
|
||||
|
||||
scope:
|
||||
if: ${{ github.event_name == 'pull_request_target' }}
|
||||
permissions:
|
||||
contents: read
|
||||
pull-requests: write
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- uses: actions/labeler@v5
|
||||
with:
|
||||
sync-labels: true
|
||||
|
|
@ -1,20 +0,0 @@
|
|||
name: Repo - Github Stats
|
||||
|
||||
on:
|
||||
schedule:
|
||||
# Run this once per day, towards the end of the day for keeping the most
|
||||
# recent data point most meaningful (hours are interpreted in UTC).
|
||||
- cron: "0 23 * * *"
|
||||
workflow_dispatch: # Allow for running this manually.
|
||||
|
||||
jobs:
|
||||
j1:
|
||||
name: github-repo-stats
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
- name: run-ghrs
|
||||
# Use latest release.
|
||||
uses: jgehrcke/github-repo-stats@HEAD
|
||||
with:
|
||||
ghtoken: ${{ secrets.ghrs_github_api_token }}
|
||||
|
||||
|
|
@ -1,32 +0,0 @@
|
|||
name: Repo - PR Status Checker
|
||||
on:
|
||||
pull_request:
|
||||
types: [opened, synchronize, reopened]
|
||||
merge_group:
|
||||
|
||||
jobs:
|
||||
status-check:
|
||||
name: Check PR Status
|
||||
runs-on: ubuntu-latest
|
||||
steps:
|
||||
# - name: Wait some time for all actions to start
|
||||
# run: sleep 30
|
||||
- uses: actions/checkout@v4
|
||||
# with:
|
||||
# fetch-depth: 0
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: "3.10"
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
python -m pip install --upgrade pip
|
||||
pip install requests
|
||||
- name: Check PR Status
|
||||
run: |
|
||||
echo "Current directory before running Python script:"
|
||||
pwd
|
||||
echo "Attempting to run Python script:"
|
||||
python .github/workflows/scripts/check_actions_status.py
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
|
@ -1,116 +0,0 @@
|
|||
import json
|
||||
import os
|
||||
import requests
|
||||
import sys
|
||||
import time
|
||||
from typing import Dict, List, Tuple
|
||||
|
||||
CHECK_INTERVAL = 30
|
||||
|
||||
|
||||
def get_environment_variables() -> Tuple[str, str, str, str, str]:
|
||||
"""Retrieve and return necessary environment variables."""
|
||||
try:
|
||||
with open(os.environ["GITHUB_EVENT_PATH"]) as f:
|
||||
event = json.load(f)
|
||||
|
||||
# Handle both PR and merge group events
|
||||
if "pull_request" in event:
|
||||
sha = event["pull_request"]["head"]["sha"]
|
||||
else:
|
||||
sha = os.environ["GITHUB_SHA"]
|
||||
|
||||
return (
|
||||
os.environ["GITHUB_API_URL"],
|
||||
os.environ["GITHUB_REPOSITORY"],
|
||||
sha,
|
||||
os.environ["GITHUB_TOKEN"],
|
||||
os.environ["GITHUB_RUN_ID"],
|
||||
)
|
||||
except KeyError as e:
|
||||
print(f"Error: Missing required environment variable or event data: {e}")
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
def make_api_request(url: str, headers: Dict[str, str]) -> Dict:
|
||||
"""Make an API request and return the JSON response."""
|
||||
try:
|
||||
print("Making API request to:", url)
|
||||
response = requests.get(url, headers=headers, timeout=10)
|
||||
response.raise_for_status()
|
||||
return response.json()
|
||||
except requests.RequestException as e:
|
||||
print(f"Error: API request failed. {e}")
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
def process_check_runs(check_runs: List[Dict]) -> Tuple[bool, bool]:
|
||||
"""Process check runs and return their status."""
|
||||
runs_in_progress = False
|
||||
all_others_passed = True
|
||||
|
||||
for run in check_runs:
|
||||
if str(run["name"]) != "Check PR Status":
|
||||
status = run["status"]
|
||||
conclusion = run["conclusion"]
|
||||
|
||||
if status == "completed":
|
||||
if conclusion not in ["success", "skipped", "neutral"]:
|
||||
all_others_passed = False
|
||||
print(
|
||||
f"Check run {run['name']} (ID: {run['id']}) has conclusion: {conclusion}"
|
||||
)
|
||||
else:
|
||||
runs_in_progress = True
|
||||
print(f"Check run {run['name']} (ID: {run['id']}) is still {status}.")
|
||||
all_others_passed = False
|
||||
else:
|
||||
print(
|
||||
f"Skipping check run {run['name']} (ID: {run['id']}) as it is the current run."
|
||||
)
|
||||
|
||||
return runs_in_progress, all_others_passed
|
||||
|
||||
|
||||
def main():
|
||||
api_url, repo, sha, github_token, current_run_id = get_environment_variables()
|
||||
|
||||
endpoint = f"{api_url}/repos/{repo}/commits/{sha}/check-runs"
|
||||
headers = {
|
||||
"Accept": "application/vnd.github.v3+json",
|
||||
}
|
||||
if github_token:
|
||||
headers["Authorization"] = f"token {github_token}"
|
||||
|
||||
print(f"Current run ID: {current_run_id}")
|
||||
|
||||
while True:
|
||||
data = make_api_request(endpoint, headers)
|
||||
|
||||
check_runs = data["check_runs"]
|
||||
|
||||
print("Processing check runs...")
|
||||
|
||||
print(check_runs)
|
||||
|
||||
runs_in_progress, all_others_passed = process_check_runs(check_runs)
|
||||
|
||||
if not runs_in_progress:
|
||||
break
|
||||
|
||||
print(
|
||||
"Some check runs are still in progress. "
|
||||
f"Waiting {CHECK_INTERVAL} seconds before checking again..."
|
||||
)
|
||||
time.sleep(CHECK_INTERVAL)
|
||||
|
||||
if all_others_passed:
|
||||
print("All other completed check runs have passed. This check passes.")
|
||||
sys.exit(0)
|
||||
else:
|
||||
print("Some check runs have failed or have not completed. This check fails.")
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
|
@ -1,98 +0,0 @@
|
|||
#!/bin/bash
|
||||
meta=$(docker image inspect "$IMAGE_NAME" | jq '.[0]')
|
||||
head_compare_url=$(sed "s/{base}/$base_branch/; s/{head}/$current_ref/" <<< $compare_url_template)
|
||||
ref_compare_url=$(sed "s/{base}/$base_branch/; s/{head}/$commit_hash/" <<< $compare_url_template)
|
||||
|
||||
EOF=$(dd if=/dev/urandom bs=15 count=1 status=none | base64)
|
||||
|
||||
cat << $EOF
|
||||
# Docker Build summary 🔨
|
||||
|
||||
**Source:** branch \`$current_ref\` -> [$repository@\`${commit_hash:0:7}\`]($source_url)
|
||||
|
||||
**Build type:** \`$build_type\`
|
||||
|
||||
**Image size:** $((`jq -r .Size <<< $meta` / 10**6))MB
|
||||
|
||||
## Image details
|
||||
|
||||
**Tags:**
|
||||
$(jq -r '.RepoTags | map("* `\(.)`") | join("\n")' <<< $meta)
|
||||
|
||||
<details>
|
||||
<summary><h3>Layers</h3></summary>
|
||||
|
||||
| Age | Size | Created by instruction |
|
||||
| --------- | ------ | ---------------------- |
|
||||
$(docker history --no-trunc --format "{{.CreatedSince}}\t{{.Size}}\t\`{{.CreatedBy}}\`\t{{.Comment}}" $IMAGE_NAME \
|
||||
| grep 'buildkit.dockerfile' `# filter for layers created in this build process`\
|
||||
| cut -f-3 `# yeet Comment column`\
|
||||
| sed 's/ ago//' `# fix Layer age`\
|
||||
| sed 's/ # buildkit//' `# remove buildkit comment from instructions`\
|
||||
| sed 's/\$/\\$/g' `# escape variable and shell expansions`\
|
||||
| sed 's/|/\\|/g' `# escape pipes so they don't interfere with column separators`\
|
||||
| column -t -s$'\t' -o' | ' `# align columns and add separator`\
|
||||
| sed 's/^/| /; s/$/ |/' `# add table row start and end pipes`)
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><h3>ENV</h3></summary>
|
||||
|
||||
| Variable | Value |
|
||||
| -------- | -------- |
|
||||
$(jq -r \
|
||||
'.Config.Env
|
||||
| map(
|
||||
split("=")
|
||||
| "\(.[0]) | `\(.[1] | gsub("\\s+"; " "))`"
|
||||
)
|
||||
| map("| \(.) |")
|
||||
| .[]' <<< $meta
|
||||
)
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>Raw metadata</summary>
|
||||
|
||||
\`\`\`JSON
|
||||
$meta
|
||||
\`\`\`
|
||||
</details>
|
||||
|
||||
## Build details
|
||||
**Build trigger:** $push_forced_label $event_name \`$event_ref\`
|
||||
|
||||
<details>
|
||||
<summary><code>github</code> context</summary>
|
||||
|
||||
\`\`\`JSON
|
||||
$github_context_json
|
||||
\`\`\`
|
||||
</details>
|
||||
|
||||
### Source
|
||||
**HEAD:** [$repository@\`${commit_hash:0:7}\`]($source_url) on branch [$current_ref]($ref_compare_url)
|
||||
|
||||
**Diff with previous HEAD:** $head_compare_url
|
||||
|
||||
#### New commits
|
||||
$(jq -r 'map([
|
||||
"**Commit [`\(.id[0:7])`](\(.url)) by \(if .author.username then "@"+.author.username else .author.name end):**",
|
||||
.message,
|
||||
(if .committer.name != .author.name then "\n> <sub>**Committer:** \(.committer.name) <\(.committer.email)></sub>" else "" end),
|
||||
"<sub>**Timestamp:** \(.timestamp)</sub>"
|
||||
] | map("> \(.)\n") | join("")) | join("\n")' <<< $new_commits_json)
|
||||
|
||||
### Job environment
|
||||
|
||||
#### \`vars\` context:
|
||||
\`\`\`JSON
|
||||
$vars_json
|
||||
\`\`\`
|
||||
|
||||
#### \`env\` context:
|
||||
\`\`\`JSON
|
||||
$job_env_json
|
||||
\`\`\`
|
||||
|
||||
$EOF
|
||||
|
|
@ -1,85 +0,0 @@
|
|||
#!/bin/bash
|
||||
meta=$(docker image inspect "$IMAGE_NAME" | jq '.[0]')
|
||||
|
||||
EOF=$(dd if=/dev/urandom bs=15 count=1 status=none | base64)
|
||||
|
||||
cat << $EOF
|
||||
# Docker Release Build summary 🚀🔨
|
||||
|
||||
**Source:** $ref_type \`$current_ref\` -> [$repository@\`${commit_hash:0:7}\`]($source_url)
|
||||
|
||||
**Image size:** $((`jq -r .Size <<< $meta` / 10**6))MB
|
||||
|
||||
## Image details
|
||||
|
||||
**Tags:**
|
||||
$(jq -r '.RepoTags | map("* `\(.)`") | join("\n")' <<< $meta)
|
||||
|
||||
<details>
|
||||
<summary><h3>Layers</h3></summary>
|
||||
|
||||
| Age | Size | Created by instruction |
|
||||
| --------- | ------ | ---------------------- |
|
||||
$(docker history --no-trunc --format "{{.CreatedSince}}\t{{.Size}}\t\`{{.CreatedBy}}\`\t{{.Comment}}" $IMAGE_NAME \
|
||||
| grep 'buildkit.dockerfile' `# filter for layers created in this build process`\
|
||||
| cut -f-3 `# yeet Comment column`\
|
||||
| sed 's/ ago//' `# fix Layer age`\
|
||||
| sed 's/ # buildkit//' `# remove buildkit comment from instructions`\
|
||||
| sed 's/\$/\\$/g' `# escape variable and shell expansions`\
|
||||
| sed 's/|/\\|/g' `# escape pipes so they don't interfere with column separators`\
|
||||
| column -t -s$'\t' -o' | ' `# align columns and add separator`\
|
||||
| sed 's/^/| /; s/$/ |/' `# add table row start and end pipes`)
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><h3>ENV</h3></summary>
|
||||
|
||||
| Variable | Value |
|
||||
| -------- | -------- |
|
||||
$(jq -r \
|
||||
'.Config.Env
|
||||
| map(
|
||||
split("=")
|
||||
| "\(.[0]) | `\(.[1] | gsub("\\s+"; " "))`"
|
||||
)
|
||||
| map("| \(.) |")
|
||||
| .[]' <<< $meta
|
||||
)
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary>Raw metadata</summary>
|
||||
|
||||
\`\`\`JSON
|
||||
$meta
|
||||
\`\`\`
|
||||
</details>
|
||||
|
||||
## Build details
|
||||
**Build trigger:** $event_name \`$current_ref\`
|
||||
|
||||
| Parameter | Value |
|
||||
| -------------- | ------------ |
|
||||
| \`no_cache\` | \`$inputs_no_cache\` |
|
||||
|
||||
<details>
|
||||
<summary><code>github</code> context</summary>
|
||||
|
||||
\`\`\`JSON
|
||||
$github_context_json
|
||||
\`\`\`
|
||||
</details>
|
||||
|
||||
### Job environment
|
||||
|
||||
#### \`vars\` context:
|
||||
\`\`\`JSON
|
||||
$vars_json
|
||||
\`\`\`
|
||||
|
||||
#### \`env\` context:
|
||||
\`\`\`JSON
|
||||
$job_env_json
|
||||
\`\`\`
|
||||
|
||||
$EOF
|
||||
|
|
@ -1,178 +0,0 @@
|
|||
## Original ignores
|
||||
.github_access_token
|
||||
classic/original_autogpt/keys.py
|
||||
classic/original_autogpt/*.json
|
||||
auto_gpt_workspace/*
|
||||
*.mpeg
|
||||
.env
|
||||
azure.yaml
|
||||
.vscode
|
||||
.idea/*
|
||||
auto-gpt.json
|
||||
log.txt
|
||||
log-ingestion.txt
|
||||
/logs
|
||||
*.log
|
||||
*.mp3
|
||||
mem.sqlite3
|
||||
venvAutoGPT
|
||||
|
||||
# Byte-compiled / optimized / DLL files
|
||||
__pycache__/
|
||||
*.py[cod]
|
||||
*$py.class
|
||||
|
||||
# C extensions
|
||||
*.so
|
||||
|
||||
# Distribution / packaging
|
||||
.Python
|
||||
develop-eggs/
|
||||
dist/
|
||||
downloads/
|
||||
eggs/
|
||||
.eggs/
|
||||
lib64/
|
||||
parts/
|
||||
sdist/
|
||||
var/
|
||||
wheels/
|
||||
pip-wheel-metadata/
|
||||
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/
|
||||
|
||||
# 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/
|
||||
site/
|
||||
|
||||
# PyBuilder
|
||||
target/
|
||||
|
||||
# Jupyter Notebook
|
||||
.ipynb_checkpoints
|
||||
|
||||
# IPython
|
||||
profile_default/
|
||||
ipython_config.py
|
||||
|
||||
# pyenv
|
||||
.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
|
||||
|
||||
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
|
||||
__pypackages__/
|
||||
|
||||
# Celery stuff
|
||||
celerybeat-schedule
|
||||
celerybeat.pid
|
||||
|
||||
# SageMath parsed files
|
||||
*.sage.py
|
||||
|
||||
# Environments
|
||||
.direnv/
|
||||
.env
|
||||
.venv
|
||||
env/
|
||||
venv*/
|
||||
ENV/
|
||||
env.bak/
|
||||
|
||||
# Spyder project settings
|
||||
.spyderproject
|
||||
.spyproject
|
||||
|
||||
# Rope project settings
|
||||
.ropeproject
|
||||
|
||||
# mkdocs documentation
|
||||
/site
|
||||
|
||||
# mypy
|
||||
.mypy_cache/
|
||||
.dmypy.json
|
||||
dmypy.json
|
||||
|
||||
# Pyre type checker
|
||||
.pyre/
|
||||
llama-*
|
||||
vicuna-*
|
||||
|
||||
# mac
|
||||
.DS_Store
|
||||
|
||||
openai/
|
||||
|
||||
# news
|
||||
CURRENT_BULLETIN.md
|
||||
|
||||
# AgBenchmark
|
||||
classic/benchmark/agbenchmark/reports/
|
||||
|
||||
# Nodejs
|
||||
package-lock.json
|
||||
|
||||
|
||||
# Allow for locally private items
|
||||
# private
|
||||
pri*
|
||||
# ignore
|
||||
ig*
|
||||
.github_access_token
|
||||
LICENSE.rtf
|
||||
autogpt_platform/backend/settings.py
|
||||
/.auth
|
||||
/autogpt_platform/frontend/.auth
|
||||
|
||||
*.ign.*
|
||||
.test-contents
|
||||
|
|
@ -1,6 +0,0 @@
|
|||
[submodule "classic/forge/tests/vcr_cassettes"]
|
||||
path = classic/forge/tests/vcr_cassettes
|
||||
url = https://github.com/Significant-Gravitas/Auto-GPT-test-cassettes
|
||||
[submodule "autogpt_platform/supabase"]
|
||||
path = autogpt_platform/supabase
|
||||
url = https://github.com/supabase/supabase.git
|
||||
|
|
@ -1,6 +0,0 @@
|
|||
[pr_reviewer]
|
||||
num_code_suggestions=0
|
||||
|
||||
[pr_code_suggestions]
|
||||
commitable_code_suggestions=false
|
||||
num_code_suggestions=0
|
||||
|
|
@ -1,258 +0,0 @@
|
|||
repos:
|
||||
- repo: https://github.com/pre-commit/pre-commit-hooks
|
||||
rev: v4.4.0
|
||||
hooks:
|
||||
- id: check-added-large-files
|
||||
args: ["--maxkb=500"]
|
||||
- id: fix-byte-order-marker
|
||||
- id: check-case-conflict
|
||||
- id: check-merge-conflict
|
||||
- id: check-symlinks
|
||||
- id: debug-statements
|
||||
|
||||
- repo: https://github.com/Yelp/detect-secrets
|
||||
rev: v1.5.0
|
||||
hooks:
|
||||
- id: detect-secrets
|
||||
name: Detect secrets
|
||||
description: Detects high entropy strings that are likely to be passwords.
|
||||
files: ^autogpt_platform/
|
||||
stages: [push]
|
||||
|
||||
- repo: local
|
||||
# For proper type checking, all dependencies need to be up-to-date.
|
||||
# It's also a good idea to check that poetry.lock is consistent with pyproject.toml.
|
||||
hooks:
|
||||
- id: poetry-install
|
||||
name: Check & Install dependencies - AutoGPT Platform - Backend
|
||||
alias: poetry-install-platform-backend
|
||||
entry: poetry -C autogpt_platform/backend install
|
||||
# include autogpt_libs source (since it's a path dependency)
|
||||
files: ^autogpt_platform/(backend|autogpt_libs)/poetry\.lock$
|
||||
types: [file]
|
||||
language: system
|
||||
pass_filenames: false
|
||||
|
||||
- id: poetry-install
|
||||
name: Check & Install dependencies - AutoGPT Platform - Libs
|
||||
alias: poetry-install-platform-libs
|
||||
entry: poetry -C autogpt_platform/autogpt_libs install
|
||||
files: ^autogpt_platform/autogpt_libs/poetry\.lock$
|
||||
types: [file]
|
||||
language: system
|
||||
pass_filenames: false
|
||||
|
||||
- id: poetry-install
|
||||
name: Check & Install dependencies - Classic - AutoGPT
|
||||
alias: poetry-install-classic-autogpt
|
||||
entry: poetry -C classic/original_autogpt install
|
||||
# include forge source (since it's a path dependency)
|
||||
files: ^classic/(original_autogpt|forge)/poetry\.lock$
|
||||
types: [file]
|
||||
language: system
|
||||
pass_filenames: false
|
||||
|
||||
- id: poetry-install
|
||||
name: Check & Install dependencies - Classic - Forge
|
||||
alias: poetry-install-classic-forge
|
||||
entry: poetry -C classic/forge install
|
||||
files: ^classic/forge/poetry\.lock$
|
||||
types: [file]
|
||||
language: system
|
||||
pass_filenames: false
|
||||
|
||||
- id: poetry-install
|
||||
name: Check & Install dependencies - Classic - Benchmark
|
||||
alias: poetry-install-classic-benchmark
|
||||
entry: poetry -C classic/benchmark install
|
||||
files: ^classic/benchmark/poetry\.lock$
|
||||
types: [file]
|
||||
language: system
|
||||
pass_filenames: false
|
||||
|
||||
- repo: local
|
||||
# For proper type checking, Prisma client must be up-to-date.
|
||||
hooks:
|
||||
- id: prisma-generate
|
||||
name: Prisma Generate - AutoGPT Platform - Backend
|
||||
alias: prisma-generate-platform-backend
|
||||
entry: bash -c 'cd autogpt_platform/backend && poetry run prisma generate'
|
||||
# include everything that triggers poetry install + the prisma schema
|
||||
files: ^autogpt_platform/((backend|autogpt_libs)/poetry\.lock|backend/schema.prisma)$
|
||||
types: [file]
|
||||
language: system
|
||||
pass_filenames: false
|
||||
|
||||
- repo: https://github.com/astral-sh/ruff-pre-commit
|
||||
rev: v0.7.2
|
||||
hooks:
|
||||
- id: ruff
|
||||
name: Lint (Ruff) - AutoGPT Platform - Backend
|
||||
alias: ruff-lint-platform-backend
|
||||
files: ^autogpt_platform/backend/
|
||||
args: [--fix]
|
||||
|
||||
- id: ruff
|
||||
name: Lint (Ruff) - AutoGPT Platform - Libs
|
||||
alias: ruff-lint-platform-libs
|
||||
files: ^autogpt_platform/autogpt_libs/
|
||||
args: [--fix]
|
||||
|
||||
- id: ruff-format
|
||||
name: Format (Ruff) - AutoGPT Platform - Libs
|
||||
alias: ruff-lint-platform-libs
|
||||
files: ^autogpt_platform/autogpt_libs/
|
||||
|
||||
- repo: local
|
||||
# isort needs the context of which packages are installed to function, so we
|
||||
# can't use a vendored isort pre-commit hook (which runs in its own isolated venv).
|
||||
hooks:
|
||||
- id: isort
|
||||
name: Lint (isort) - AutoGPT Platform - Backend
|
||||
alias: isort-platform-backend
|
||||
entry: poetry -P autogpt_platform/backend run isort -p backend
|
||||
files: ^autogpt_platform/backend/
|
||||
types: [file, python]
|
||||
language: system
|
||||
|
||||
- id: isort
|
||||
name: Lint (isort) - Classic - AutoGPT
|
||||
alias: isort-classic-autogpt
|
||||
entry: poetry -P classic/original_autogpt run isort -p autogpt
|
||||
files: ^classic/original_autogpt/
|
||||
types: [file, python]
|
||||
language: system
|
||||
|
||||
- id: isort
|
||||
name: Lint (isort) - Classic - Forge
|
||||
alias: isort-classic-forge
|
||||
entry: poetry -P classic/forge run isort -p forge
|
||||
files: ^classic/forge/
|
||||
types: [file, python]
|
||||
language: system
|
||||
|
||||
- id: isort
|
||||
name: Lint (isort) - Classic - Benchmark
|
||||
alias: isort-classic-benchmark
|
||||
entry: poetry -P classic/benchmark run isort -p agbenchmark
|
||||
files: ^classic/benchmark/
|
||||
types: [file, python]
|
||||
language: system
|
||||
|
||||
- repo: https://github.com/psf/black
|
||||
rev: 23.12.1
|
||||
# Black has sensible defaults, doesn't need package context, and ignores
|
||||
# everything in .gitignore, so it works fine without any config or arguments.
|
||||
hooks:
|
||||
- id: black
|
||||
name: Format (Black)
|
||||
|
||||
- repo: https://github.com/PyCQA/flake8
|
||||
rev: 7.0.0
|
||||
# To have flake8 load the config of the individual subprojects, we have to call
|
||||
# them separately.
|
||||
hooks:
|
||||
- id: flake8
|
||||
name: Lint (Flake8) - Classic - AutoGPT
|
||||
alias: flake8-classic-autogpt
|
||||
files: ^classic/original_autogpt/(autogpt|scripts|tests)/
|
||||
args: [--config=classic/original_autogpt/.flake8]
|
||||
|
||||
- id: flake8
|
||||
name: Lint (Flake8) - Classic - Forge
|
||||
alias: flake8-classic-forge
|
||||
files: ^classic/forge/(forge|tests)/
|
||||
args: [--config=classic/forge/.flake8]
|
||||
|
||||
- id: flake8
|
||||
name: Lint (Flake8) - Classic - Benchmark
|
||||
alias: flake8-classic-benchmark
|
||||
files: ^classic/benchmark/(agbenchmark|tests)/((?!reports).)*[/.]
|
||||
args: [--config=classic/benchmark/.flake8]
|
||||
|
||||
- repo: local
|
||||
# To have watertight type checking, we check *all* the files in an affected
|
||||
# project. To trigger on poetry.lock we also reset the file `types` filter.
|
||||
hooks:
|
||||
- id: pyright
|
||||
name: Typecheck - AutoGPT Platform - Backend
|
||||
alias: pyright-platform-backend
|
||||
entry: poetry -C autogpt_platform/backend run pyright
|
||||
# include forge source (since it's a path dependency) but exclude *_test.py files:
|
||||
files: ^autogpt_platform/(backend/((backend|test)/|(\w+\.py|poetry\.lock)$)|autogpt_libs/(autogpt_libs/.*(?<!_test)\.py|poetry\.lock)$)
|
||||
types: [file]
|
||||
language: system
|
||||
pass_filenames: false
|
||||
|
||||
- id: pyright
|
||||
name: Typecheck - AutoGPT Platform - Libs
|
||||
alias: pyright-platform-libs
|
||||
entry: poetry -C autogpt_platform/autogpt_libs run pyright
|
||||
files: ^autogpt_platform/autogpt_libs/(autogpt_libs/|poetry\.lock$)
|
||||
types: [file]
|
||||
language: system
|
||||
pass_filenames: false
|
||||
|
||||
- id: pyright
|
||||
name: Typecheck - Classic - AutoGPT
|
||||
alias: pyright-classic-autogpt
|
||||
entry: poetry -C classic/original_autogpt run pyright
|
||||
# include forge source (since it's a path dependency) but exclude *_test.py files:
|
||||
files: ^(classic/original_autogpt/((autogpt|scripts|tests)/|poetry\.lock$)|classic/forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
|
||||
types: [file]
|
||||
language: system
|
||||
pass_filenames: false
|
||||
|
||||
- id: pyright
|
||||
name: Typecheck - Classic - Forge
|
||||
alias: pyright-classic-forge
|
||||
entry: poetry -C classic/forge run pyright
|
||||
files: ^classic/forge/(forge/|poetry\.lock$)
|
||||
types: [file]
|
||||
language: system
|
||||
pass_filenames: false
|
||||
|
||||
- id: pyright
|
||||
name: Typecheck - Classic - Benchmark
|
||||
alias: pyright-classic-benchmark
|
||||
entry: poetry -C classic/benchmark run pyright
|
||||
files: ^classic/benchmark/(agbenchmark/|tests/|poetry\.lock$)
|
||||
types: [file]
|
||||
language: system
|
||||
pass_filenames: false
|
||||
|
||||
- repo: local
|
||||
hooks:
|
||||
- id: pytest
|
||||
name: Run tests - AutoGPT Platform - Backend
|
||||
alias: pytest-platform-backend
|
||||
entry: bash -c 'cd autogpt_platform/backend && poetry run pytest'
|
||||
# include autogpt_libs source (since it's a path dependency) but exclude *_test.py files:
|
||||
files: ^autogpt_platform/(backend/((backend|test)/|poetry\.lock$)|autogpt_libs/(autogpt_libs/.*(?<!_test)\.py|poetry\.lock)$)
|
||||
language: system
|
||||
pass_filenames: false
|
||||
|
||||
- id: pytest
|
||||
name: Run tests - Classic - AutoGPT (excl. slow tests)
|
||||
alias: pytest-classic-autogpt
|
||||
entry: bash -c 'cd classic/original_autogpt && poetry run pytest --cov=autogpt -m "not slow" tests/unit tests/integration'
|
||||
# include forge source (since it's a path dependency) but exclude *_test.py files:
|
||||
files: ^(classic/original_autogpt/((autogpt|tests)/|poetry\.lock$)|classic/forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
|
||||
language: system
|
||||
pass_filenames: false
|
||||
|
||||
- id: pytest
|
||||
name: Run tests - Classic - Forge (excl. slow tests)
|
||||
alias: pytest-classic-forge
|
||||
entry: bash -c 'cd classic/forge && poetry run pytest --cov=forge -m "not slow"'
|
||||
files: ^classic/forge/(forge/|tests/|poetry\.lock$)
|
||||
language: system
|
||||
pass_filenames: false
|
||||
|
||||
- id: pytest
|
||||
name: Run tests - Classic - Benchmark
|
||||
alias: pytest-classic-benchmark
|
||||
entry: bash -c 'cd classic/benchmark && poetry run pytest --cov=benchmark'
|
||||
files: ^classic/benchmark/(agbenchmark/|tests/|poetry\.lock$)
|
||||
language: system
|
||||
pass_filenames: false
|
||||
|
|
@ -1,62 +0,0 @@
|
|||
{
|
||||
"folders": [
|
||||
{
|
||||
"name": "frontend",
|
||||
"path": "../autogpt_platform/frontend"
|
||||
},
|
||||
{
|
||||
"name": "backend",
|
||||
"path": "../autogpt_platform/backend"
|
||||
},
|
||||
{
|
||||
"name": "market",
|
||||
"path": "../autogpt_platform/market"
|
||||
},
|
||||
{
|
||||
"name": "lib",
|
||||
"path": "../autogpt_platform/autogpt_libs"
|
||||
},
|
||||
{
|
||||
"name": "infra",
|
||||
"path": "../autogpt_platform/infra"
|
||||
},
|
||||
{
|
||||
"name": "docs",
|
||||
"path": "../docs"
|
||||
},
|
||||
|
||||
{
|
||||
"name": "classic - autogpt",
|
||||
"path": "../classic/original_autogpt"
|
||||
},
|
||||
{
|
||||
"name": "classic - benchmark",
|
||||
"path": "../classic/benchmark"
|
||||
},
|
||||
{
|
||||
"name": "classic - forge",
|
||||
"path": "../classic/forge"
|
||||
},
|
||||
{
|
||||
"name": "classic - frontend",
|
||||
"path": "../classic/frontend"
|
||||
},
|
||||
{
|
||||
"name": "[root]",
|
||||
"path": ".."
|
||||
}
|
||||
],
|
||||
"settings": {
|
||||
"python.analysis.typeCheckingMode": "basic"
|
||||
},
|
||||
"extensions": {
|
||||
"recommendations": [
|
||||
"charliermarsh.ruff",
|
||||
"dart-code.flutter",
|
||||
"ms-python.black-formatter",
|
||||
"ms-python.vscode-pylance",
|
||||
"prisma.prisma",
|
||||
"qwtel.sqlite-viewer"
|
||||
]
|
||||
}
|
||||
}
|
||||
|
|
@ -1,67 +0,0 @@
|
|||
{
|
||||
"version": "0.2.0",
|
||||
"configurations": [
|
||||
{
|
||||
"name": "Frontend: Server Side",
|
||||
"type": "node-terminal",
|
||||
"request": "launch",
|
||||
"cwd": "${workspaceFolder}/autogpt_platform/frontend",
|
||||
"command": "yarn dev"
|
||||
},
|
||||
{
|
||||
"name": "Frontend: Client Side",
|
||||
"type": "msedge",
|
||||
"request": "launch",
|
||||
"url": "http://localhost:3000"
|
||||
},
|
||||
{
|
||||
"name": "Frontend: Full Stack",
|
||||
"type": "node-terminal",
|
||||
|
||||
"request": "launch",
|
||||
"command": "yarn dev",
|
||||
"cwd": "${workspaceFolder}/autogpt_platform/frontend",
|
||||
"serverReadyAction": {
|
||||
"pattern": "- Local:.+(https?://.+)",
|
||||
"uriFormat": "%s",
|
||||
"action": "debugWithEdge"
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "Backend",
|
||||
"type": "debugpy",
|
||||
"request": "launch",
|
||||
"module": "backend.app",
|
||||
// "env": {
|
||||
// "ENV": "dev"
|
||||
// },
|
||||
"envFile": "${workspaceFolder}/backend/.env",
|
||||
"justMyCode": false,
|
||||
"cwd": "${workspaceFolder}/autogpt_platform/backend"
|
||||
},
|
||||
{
|
||||
"name": "Marketplace",
|
||||
"type": "debugpy",
|
||||
"request": "launch",
|
||||
"module": "autogpt_platform.market.main",
|
||||
"env": {
|
||||
"ENV": "dev"
|
||||
},
|
||||
"envFile": "${workspaceFolder}/market/.env",
|
||||
"justMyCode": false,
|
||||
"cwd": "${workspaceFolder}/market"
|
||||
}
|
||||
],
|
||||
"compounds": [
|
||||
{
|
||||
"name": "Everything",
|
||||
"configurations": ["Backend", "Frontend: Full Stack"],
|
||||
// "preLaunchTask": "${defaultBuildTask}",
|
||||
"stopAll": true,
|
||||
"presentation": {
|
||||
"hidden": false,
|
||||
"order": 0
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
21
CITATION.cff
21
CITATION.cff
|
|
@ -1,21 +0,0 @@
|
|||
# This CITATION.cff file was generated with cffinit.
|
||||
# Visit https://bit.ly/cffinit to generate yours today!
|
||||
|
||||
cff-version: 1.2.0
|
||||
title: AutoGPT
|
||||
message: >-
|
||||
If you use this software, please cite it using the
|
||||
metadata from this file.
|
||||
type: software
|
||||
authors:
|
||||
- name: Significant Gravitas
|
||||
website: 'https://agpt.co'
|
||||
repository-code: 'https://github.com/Significant-Gravitas/AutoGPT'
|
||||
url: 'https://agpt.co'
|
||||
abstract: >-
|
||||
A collection of tools and experimental open-source attempts to make GPT-4 fully
|
||||
autonomous.
|
||||
keywords:
|
||||
- AI
|
||||
- Agent
|
||||
license: MIT
|
||||
|
|
@ -1,40 +0,0 @@
|
|||
# Code of Conduct for AutoGPT
|
||||
|
||||
## 1. Purpose
|
||||
|
||||
The purpose of this Code of Conduct is to provide guidelines for contributors to the AutoGPT projects on GitHub. We aim to create a positive and inclusive environment where all participants can contribute and collaborate effectively. By participating in this project, you agree to abide by this Code of Conduct.
|
||||
|
||||
## 2. Scope
|
||||
|
||||
This Code of Conduct applies to all contributors, maintainers, and users of the AutoGPT project. It extends to all project spaces, including but not limited to issues, pull requests, code reviews, comments, and other forms of communication within the project.
|
||||
|
||||
## 3. Our Standards
|
||||
|
||||
We encourage the following behavior:
|
||||
|
||||
* Being respectful and considerate to others
|
||||
* Actively seeking diverse perspectives
|
||||
* Providing constructive feedback and assistance
|
||||
* Demonstrating empathy and understanding
|
||||
|
||||
We discourage the following behavior:
|
||||
|
||||
* Harassment or discrimination of any kind
|
||||
* Disrespectful, offensive, or inappropriate language or content
|
||||
* Personal attacks or insults
|
||||
* Unwarranted criticism or negativity
|
||||
|
||||
## 4. Reporting and Enforcement
|
||||
|
||||
If you witness or experience any violations of this Code of Conduct, please report them to the project maintainers by email or other appropriate means. The maintainers will investigate and take appropriate action, which may include warnings, temporary or permanent bans, or other measures as necessary.
|
||||
|
||||
Maintainers are responsible for ensuring compliance with this Code of Conduct and may take action to address any violations.
|
||||
|
||||
## 5. Acknowledgements
|
||||
|
||||
This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org/version/2/0/code_of_conduct.html).
|
||||
|
||||
## 6. Contact
|
||||
|
||||
If you have any questions or concerns, please contact the project maintainers on Discord:
|
||||
https://discord.gg/autogpt
|
||||
|
|
@ -1,41 +0,0 @@
|
|||
# AutoGPT Contribution Guide
|
||||
If you are reading this, you are probably looking for the full **[contribution guide]**,
|
||||
which is part of our [wiki].
|
||||
|
||||
Also check out our [🚀 Roadmap][roadmap] for information about our priorities and associated tasks.
|
||||
<!-- You can find our immediate priorities and their progress on our public [kanban board]. -->
|
||||
|
||||
[contribution guide]: https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing
|
||||
[wiki]: https://github.com/Significant-Gravitas/AutoGPT/wiki
|
||||
[roadmap]: https://github.com/Significant-Gravitas/AutoGPT/discussions/6971
|
||||
[kanban board]: https://github.com/orgs/Significant-Gravitas/projects/1
|
||||
|
||||
## Contributing to the AutoGPT Platform Folder
|
||||
All contributions to [the autogpt_platform folder](https://github.com/Significant-Gravitas/AutoGPT/blob/master/autogpt_platform) will be under our [Contribution License Agreement](https://github.com/Significant-Gravitas/AutoGPT/blob/master/autogpt_platform/Contributor%20License%20Agreement%20(CLA).md). By making a pull request contributing to this folder, you agree to the terms of our CLA for your contribution. All contributions to other folders will be under the MIT license.
|
||||
|
||||
## In short
|
||||
1. Avoid duplicate work, issues, PRs etc.
|
||||
2. We encourage you to collaborate with fellow community members on some of our bigger
|
||||
[todo's][roadmap]!
|
||||
* We highly recommend to post your idea and discuss it in the [dev channel].
|
||||
3. Create a draft PR when starting work on bigger changes.
|
||||
4. Adhere to the [Code Guidelines]
|
||||
5. Clearly explain your changes when submitting a PR.
|
||||
6. Don't submit broken code: test/validate your changes.
|
||||
7. Avoid making unnecessary changes, especially if they're purely based on your personal
|
||||
preferences. Doing so is the maintainers' job. ;-)
|
||||
8. Please also consider contributing something other than code; see the
|
||||
[contribution guide] for options.
|
||||
|
||||
[dev channel]: https://discord.com/channels/1092243196446249134/1095817829405704305
|
||||
[code guidelines]: https://github.com/Significant-Gravitas/AutoGPT/wiki/Contributing#code-guidelines
|
||||
|
||||
If you wish to involve with the project (beyond just contributing PRs), please read the
|
||||
wiki page about [Catalyzing](https://github.com/Significant-Gravitas/AutoGPT/wiki/Catalyzing).
|
||||
|
||||
In fact, why not just look through the whole wiki (it's only a few pages) and
|
||||
hop on our Discord. See you there! :-)
|
||||
|
||||
❤️ & 🔆
|
||||
The team @ AutoGPT
|
||||
https://discord.gg/autogpt
|
||||
29
LICENSE
29
LICENSE
|
|
@ -1,29 +0,0 @@
|
|||
All portions of this repository are under one of two licenses. The majority of the AutoGPT repository is under the MIT License below. The autogpt_platform folder is under the
|
||||
Polyform Shield License.
|
||||
|
||||
|
||||
MIT License
|
||||
|
||||
|
||||
Copyright (c) 2023 Toran Bruce Richards
|
||||
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
179
README.md
179
README.md
|
|
@ -1,179 +1,2 @@
|
|||
# AutoGPT: Build, Deploy, and Run AI Agents
|
||||
|
||||
[](https://discord.gg/autogpt)  
|
||||
[](https://twitter.com/Auto_GPT)  
|
||||
[](https://opensource.org/licenses/MIT)
|
||||
|
||||
**AutoGPT** is a powerful platform that allows you to create, deploy, and manage continuous AI agents that automate complex workflows.
|
||||
|
||||
## Hosting Options
|
||||
- Download to self-host
|
||||
- [Join the Waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta
|
||||
|
||||
## How to Setup for Self-Hosting
|
||||
> [!NOTE]
|
||||
> Setting up and hosting the AutoGPT Platform yourself is a technical process.
|
||||
> If you'd rather something that just works, we recommend [joining the waitlist](https://bit.ly/3ZDijAI) for the cloud-hosted beta.
|
||||
|
||||
https://github.com/user-attachments/assets/d04273a5-b36a-4a37-818e-f631ce72d603
|
||||
|
||||
This tutorial assumes you have Docker, VSCode, git and npm installed.
|
||||
|
||||
### 🧱 AutoGPT Frontend
|
||||
|
||||
The AutoGPT frontend is where users interact with our powerful AI automation platform. It offers multiple ways to engage with and leverage our AI agents. This is the interface where you'll bring your AI automation ideas to life:
|
||||
|
||||
**Agent Builder:** For those who want to customize, our intuitive, low-code interface allows you to design and configure your own AI agents.
|
||||
|
||||
**Workflow Management:** Build, modify, and optimize your automation workflows with ease. You build your agent by connecting blocks, where each block performs a single action.
|
||||
|
||||
**Deployment Controls:** Manage the lifecycle of your agents, from testing to production.
|
||||
|
||||
**Ready-to-Use Agents:** Don't want to build? Simply select from our library of pre-configured agents and put them to work immediately.
|
||||
|
||||
**Agent Interaction:** Whether you've built your own or are using pre-configured agents, easily run and interact with them through our user-friendly interface.
|
||||
|
||||
**Monitoring and Analytics:** Keep track of your agents' performance and gain insights to continually improve your automation processes.
|
||||
|
||||
[Read this guide](https://docs.agpt.co/platform/new_blocks/) to learn how to build your own custom blocks.
|
||||
|
||||
### 💽 AutoGPT Server
|
||||
|
||||
The AutoGPT Server is the powerhouse of our platform This is where your agents run. Once deployed, agents can be triggered by external sources and can operate continuously. It contains all the essential components that make AutoGPT run smoothly.
|
||||
|
||||
**Source Code:** The core logic that drives our agents and automation processes.
|
||||
|
||||
**Infrastructure:** Robust systems that ensure reliable and scalable performance.
|
||||
|
||||
**Marketplace:** A comprehensive marketplace where you can find and deploy a wide range of pre-built agents.
|
||||
|
||||
### 🐙 Example Agents
|
||||
|
||||
Here are two examples of what you can do with AutoGPT:
|
||||
|
||||
1. **Generate Viral Videos from Trending Topics**
|
||||
- This agent reads topics on Reddit.
|
||||
- It identifies trending topics.
|
||||
- It then automatically creates a short-form video based on the content.
|
||||
|
||||
2. **Identify Top Quotes from Videos for Social Media**
|
||||
- This agent subscribes to your YouTube channel.
|
||||
- When you post a new video, it transcribes it.
|
||||
- It uses AI to identify the most impactful quotes to generate a summary.
|
||||
- Then, it writes a post to automatically publish to your social media.
|
||||
|
||||
These examples show just a glimpse of what you can achieve with AutoGPT! You can create customized workflows to build agents for any use case.
|
||||
|
||||
---
|
||||
### Mission and Licencing
|
||||
Our mission is to provide the tools, so that you can focus on what matters:
|
||||
|
||||
- 🏗️ **Building** - Lay the foundation for something amazing.
|
||||
- 🧪 **Testing** - Fine-tune your agent to perfection.
|
||||
- 🤝 **Delegating** - Let AI work for you, and have your ideas come to life.
|
||||
|
||||
Be part of the revolution! **AutoGPT** is here to stay, at the forefront of AI innovation.
|
||||
|
||||
**📖 [Documentation](https://docs.agpt.co)**
|
||||
 | 
|
||||
**🚀 [Contributing](CONTRIBUTING.md)**
|
||||
|
||||
**Licensing:**
|
||||
|
||||
MIT License: The majority of the AutoGPT repository is under the MIT License.
|
||||
|
||||
Polyform Shield License: This license applies to the autogpt_platform folder.
|
||||
|
||||
For more information, see https://agpt.co/blog/introducing-the-autogpt-platform
|
||||
|
||||
---
|
||||
## 🤖 AutoGPT Classic
|
||||
> Below is information about the classic version of AutoGPT.
|
||||
|
||||
**🛠️ [Build your own Agent - Quickstart](classic/FORGE-QUICKSTART.md)**
|
||||
|
||||
### 🏗️ Forge
|
||||
|
||||
**Forge your own agent!** – Forge is a ready-to-go toolkit to build your own agent application. It handles most of the boilerplate code, letting you channel all your creativity into the things that set *your* agent apart. All tutorials are located [here](https://medium.com/@aiedge/autogpt-forge-e3de53cc58ec). Components from [`forge`](/classic/forge/) can also be used individually to speed up development and reduce boilerplate in your agent project.
|
||||
|
||||
🚀 [**Getting Started with Forge**](https://github.com/Significant-Gravitas/AutoGPT/blob/master/classic/forge/tutorials/001_getting_started.md) –
|
||||
This guide will walk you through the process of creating your own agent and using the benchmark and user interface.
|
||||
|
||||
📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/forge) about Forge
|
||||
|
||||
### 🎯 Benchmark
|
||||
|
||||
**Measure your agent's performance!** The `agbenchmark` can be used with any agent that supports the agent protocol, and the integration with the project's [CLI] makes it even easier to use with AutoGPT and forge-based agents. The benchmark offers a stringent testing environment. Our framework allows for autonomous, objective performance evaluations, ensuring your agents are primed for real-world action.
|
||||
|
||||
<!-- TODO: insert visual demonstrating the benchmark -->
|
||||
|
||||
📦 [`agbenchmark`](https://pypi.org/project/agbenchmark/) on Pypi
|
||||
 | 
|
||||
📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/benchmark) about the Benchmark
|
||||
|
||||
### 💻 UI
|
||||
|
||||
**Makes agents easy to use!** The `frontend` gives you a user-friendly interface to control and monitor your agents. It connects to agents through the [agent protocol](#-agent-protocol), ensuring compatibility with many agents from both inside and outside of our ecosystem.
|
||||
|
||||
<!-- TODO: insert screenshot of front end -->
|
||||
|
||||
The frontend works out-of-the-box with all agents in the repo. Just use the [CLI] to run your agent of choice!
|
||||
|
||||
📘 [Learn More](https://github.com/Significant-Gravitas/AutoGPT/tree/master/classic/frontend) about the Frontend
|
||||
|
||||
### ⌨️ CLI
|
||||
|
||||
[CLI]: #-cli
|
||||
|
||||
To make it as easy as possible to use all of the tools offered by the repository, a CLI is included at the root of the repo:
|
||||
|
||||
```shell
|
||||
$ ./run
|
||||
Usage: cli.py [OPTIONS] COMMAND [ARGS]...
|
||||
|
||||
Options:
|
||||
--help Show this message and exit.
|
||||
|
||||
Commands:
|
||||
agent Commands to create, start and stop agents
|
||||
benchmark Commands to start the benchmark and list tests and categories
|
||||
setup Installs dependencies needed for your system.
|
||||
```
|
||||
|
||||
Just clone the repo, install dependencies with `./run setup`, and you should be good to go!
|
||||
|
||||
## 🤔 Questions? Problems? Suggestions?
|
||||
|
||||
### Get help - [Discord 💬](https://discord.gg/autogpt)
|
||||
|
||||
[](https://discord.gg/autogpt)
|
||||
|
||||
To report a bug or request a feature, create a [GitHub Issue](https://github.com/Significant-Gravitas/AutoGPT/issues/new/choose). Please ensure someone else hasn’t created an issue for the same topic.
|
||||
|
||||
## 🤝 Sister projects
|
||||
|
||||
### 🔄 Agent Protocol
|
||||
|
||||
To maintain a uniform standard and ensure seamless compatibility with many current and future applications, AutoGPT employs the [agent protocol](https://agentprotocol.ai/) standard by the AI Engineer Foundation. This standardizes the communication pathways from your agent to the frontend and benchmark.
|
||||
|
||||
---
|
||||
|
||||
## Stars stats
|
||||
|
||||
<p align="center">
|
||||
<a href="https://star-history.com/#Significant-Gravitas/AutoGPT">
|
||||
<picture>
|
||||
<source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=Significant-Gravitas/AutoGPT&type=Date&theme=dark" />
|
||||
<source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=Significant-Gravitas/AutoGPT&type=Date" />
|
||||
<img alt="Star History Chart" src="https://api.star-history.com/svg?repos=Significant-Gravitas/AutoGPT&type=Date" />
|
||||
</picture>
|
||||
</a>
|
||||
</p>
|
||||
|
||||
|
||||
## ⚡ Contributors
|
||||
|
||||
<a href="https://github.com/Significant-Gravitas/AutoGPT/graphs/contributors" alt="View Contributors">
|
||||
<img src="https://contrib.rocks/image?repo=Significant-Gravitas/AutoGPT&max=1000&columns=10" alt="Contributors" />
|
||||
</a>
|
||||
# AutoGPT
|
||||
|
||||
|
|
|
|||
47
SECURITY.md
47
SECURITY.md
|
|
@ -1,47 +0,0 @@
|
|||
# Security Policy
|
||||
|
||||
## Reporting Security Issues
|
||||
|
||||
We take the security of our project seriously. If you believe you have found a security vulnerability, please report it to us privately. **Please do not report security vulnerabilities through public GitHub issues, discussions, or pull requests.**
|
||||
|
||||
> **Important Note**: Any code within the `classic/` folder is considered legacy, unsupported, and out of scope for security reports. We will not address security vulnerabilities in this deprecated code.
|
||||
|
||||
Instead, please report them via:
|
||||
- [GitHub Security Advisory](https://github.com/Significant-Gravitas/AutoGPT/security/advisories/new)
|
||||
<!--- [Huntr.dev](https://huntr.com/repos/significant-gravitas/autogpt) - where you may be eligible for a bounty-->
|
||||
|
||||
### Reporting Process
|
||||
1. **Submit Report**: Use one of the above channels to submit your report
|
||||
2. **Response Time**: Our team will acknowledge receipt of your report within 14 business days.
|
||||
3. **Collaboration**: We will collaborate with you to understand and validate the issue
|
||||
4. **Resolution**: We will work on a fix and coordinate the release process
|
||||
|
||||
### Disclosure Policy
|
||||
- Please provide detailed reports with reproducible steps
|
||||
- Include the version/commit hash where you discovered the vulnerability
|
||||
- Allow us a 90-day security fix window before any public disclosure
|
||||
- Share any potential mitigations or workarounds if known
|
||||
|
||||
## Supported Versions
|
||||
Only the following versions are eligible for security updates:
|
||||
|
||||
| Version | Supported |
|
||||
|---------|-----------|
|
||||
| Latest release on master branch | ✅ |
|
||||
| Development commits (pre-master) | ✅ |
|
||||
| Classic folder (deprecated) | ❌ |
|
||||
| All other versions | ❌ |
|
||||
|
||||
## Security Best Practices
|
||||
When using this project:
|
||||
1. Always use the latest stable version
|
||||
2. Review security advisories before updating
|
||||
3. Follow our security documentation and guidelines
|
||||
4. Keep your dependencies up to date
|
||||
5. Do not use code from the `classic/` folder as it is deprecated and unsupported
|
||||
|
||||
## Past Security Advisories
|
||||
For a list of past security advisories, please visit our [Security Advisory Page](https://github.com/Significant-Gravitas/AutoGPT/security/advisories) and [Huntr Disclosures Page](https://huntr.com/repos/significant-gravitas/autogpt).
|
||||
|
||||
---
|
||||
Last updated: November 2024
|
||||
Binary file not shown.
Binary file not shown.
|
Before Width: | Height: | Size: 1.1 MiB |
Binary file not shown.
|
Before Width: | Height: | Size: 49 KiB |
|
|
@ -1,2 +0,0 @@
|
|||
*.ignore.*
|
||||
*.ign.*
|
||||
|
|
@ -1,21 +0,0 @@
|
|||
**Determinist Ltd**
|
||||
|
||||
**Contributor License Agreement (“Agreement”)**
|
||||
|
||||
Thank you for your interest in the AutoGPT open source project at [https://github.com/Significant-Gravitas/AutoGPT](https://github.com/Significant-Gravitas/AutoGPT) stewarded by Determinist Ltd (“**Determinist**”), with offices at 3rd Floor 1 Ashley Road, Altrincham, Cheshire, WA14 2DT, United Kingdom. The form of license below is a document that clarifies the terms under which You, the person listed below, may contribute software code described below (the “**Contribution**”) to the project. We appreciate your participation in our project, and your help in improving our products, so we want you to understand what will be done with the Contributions. This license is for your protection as well as the protection of Determinist and its licensees; it does not change your rights to use your own Contributions for any other purpose.
|
||||
|
||||
By submitting a Pull Request which modifies the content of the “autogpt\_platform” folder at [https://github.com/Significant-Gravitas/AutoGPT/tree/master/autogpt\_platform](https://github.com/Significant-Gravitas/AutoGPT/tree/master/autogpt_platform), You hereby agree:
|
||||
|
||||
1\. **You grant us the ability to use the Contributions in any way**. You hereby grant to Determinist a non-exclusive, irrevocable, worldwide, royalty-free, sublicenseable, transferable license under all of Your relevant intellectual property rights (including copyright, patent, and any other rights), to use, copy, prepare derivative works of, distribute and publicly perform and display the Contributions on any licensing terms, including without limitation: (a) open source licenses like the GNU General Public License (GPL), the GNU Lesser General Public License (LGPL), the Common Public License, or the Berkeley Science Division license (BSD); and (b) binary, proprietary, or commercial licenses.
|
||||
|
||||
2\. **Grant of Patent License**. You hereby grant to Determinist a worldwide, non-exclusive, royalty-free, irrevocable, license, under any rights you may have, now or in the future, in any patents or patent applications, to make, have made, use, offer to sell, sell, and import products containing the Contribution or portions of the Contribution. This license extends to patent claims that are infringed by the Contribution alone or by combination of the Contribution with other inventions.
|
||||
|
||||
4\. **Limitations on Licenses**. The licenses granted in this Agreement will continue for the duration of the applicable patent or intellectual property right under which such license is granted. The licenses granted in this Agreement will include the right to grant and authorize sublicenses, so long as the sublicenses are within the scope of the licenses granted in this Agreement. Except for the licenses granted herein, You reserve all right, title, and interest in and to the Contribution.
|
||||
|
||||
5\. **You are able to grant us these rights**. You represent that You are legally entitled to grant the above license. If Your employer has rights to intellectual property that You create, You represent that You are authorized to make the Contributions on behalf of that employer, or that Your employer has waived such rights for the Contributions.
|
||||
|
||||
3\. **The Contributions are your original work**. You represent that the Contributions are Your original works of authorship, and to Your knowledge, no other person claims, or has the right to claim, any right in any invention or patent related to the Contributions. You also represent that You are not legally obligated, whether by entering into an agreement or otherwise, in any way that conflicts with the terms of this license. For example, if you have signed an agreement requiring you to assign the intellectual property rights in the Contributions to an employer or customer, that would conflict with the terms of this license.
|
||||
|
||||
6\. **We determine the code that is in our products**. You understand that the decision to include the Contribution in any product or source repository is entirely that of Determinist, and this agreement does not guarantee that the Contributions will be included in any product.
|
||||
|
||||
7\. **No Implied Warranties.** Determinist acknowledges that, except as explicitly described in this Agreement, the Contribution is provided on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OR CONDITIONS OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
|
||||
|
|
@ -1,164 +0,0 @@
|
|||
# PolyForm Shield License 1.0.0
|
||||
|
||||
<https://polyformproject.org/licenses/shield/1.0.0>
|
||||
|
||||
## Acceptance
|
||||
|
||||
In order to get any license under these terms, you must agree
|
||||
to them as both strict obligations and conditions to all
|
||||
your licenses.
|
||||
|
||||
## Copyright License
|
||||
|
||||
The licensor grants you a copyright license for the
|
||||
software to do everything you might do with the software
|
||||
that would otherwise infringe the licensor's copyright
|
||||
in it for any permitted purpose. However, you may
|
||||
only distribute the software according to [Distribution
|
||||
License](#distribution-license) and make changes or new works
|
||||
based on the software according to [Changes and New Works
|
||||
License](#changes-and-new-works-license).
|
||||
|
||||
## Distribution License
|
||||
|
||||
The licensor grants you an additional copyright license
|
||||
to distribute copies of the software. Your license
|
||||
to distribute covers distributing the software with
|
||||
changes and new works permitted by [Changes and New Works
|
||||
License](#changes-and-new-works-license).
|
||||
|
||||
## Notices
|
||||
|
||||
You must ensure that anyone who gets a copy of any part of
|
||||
the software from you also gets a copy of these terms or the
|
||||
URL for them above, as well as copies of any plain-text lines
|
||||
beginning with `Required Notice:` that the licensor provided
|
||||
with the software. For example:
|
||||
|
||||
> Required Notice: Copyright Yoyodyne, Inc. (http://example.com)
|
||||
|
||||
## Changes and New Works License
|
||||
|
||||
The licensor grants you an additional copyright license to
|
||||
make changes and new works based on the software for any
|
||||
permitted purpose.
|
||||
|
||||
## Patent License
|
||||
|
||||
The licensor grants you a patent license for the software that
|
||||
covers patent claims the licensor can license, or becomes able
|
||||
to license, that you would infringe by using the software.
|
||||
|
||||
## Noncompete
|
||||
|
||||
Any purpose is a permitted purpose, except for providing any
|
||||
product that competes with the software or any product the
|
||||
licensor or any of its affiliates provides using the software.
|
||||
|
||||
## Competition
|
||||
|
||||
Goods and services compete even when they provide functionality
|
||||
through different kinds of interfaces or for different technical
|
||||
platforms. Applications can compete with services, libraries
|
||||
with plugins, frameworks with development tools, and so on,
|
||||
even if they're written in different programming languages
|
||||
or for different computer architectures. Goods and services
|
||||
compete even when provided free of charge. If you market a
|
||||
product as a practical substitute for the software or another
|
||||
product, it definitely competes.
|
||||
|
||||
## New Products
|
||||
|
||||
If you are using the software to provide a product that does
|
||||
not compete, but the licensor or any of its affiliates brings
|
||||
your product into competition by providing a new version of
|
||||
the software or another product using the software, you may
|
||||
continue using versions of the software available under these
|
||||
terms beforehand to provide your competing product, but not
|
||||
any later versions.
|
||||
|
||||
## Discontinued Products
|
||||
|
||||
You may begin using the software to compete with a product
|
||||
or service that the licensor or any of its affiliates has
|
||||
stopped providing, unless the licensor includes a plain-text
|
||||
line beginning with `Licensor Line of Business:` with the
|
||||
software that mentions that line of business. For example:
|
||||
|
||||
> Licensor Line of Business: YoyodyneCMS Content Management
|
||||
System (http://example.com/cms)
|
||||
|
||||
## Sales of Business
|
||||
|
||||
If the licensor or any of its affiliates sells a line of
|
||||
business developing the software or using the software
|
||||
to provide a product, the buyer can also enforce
|
||||
[Noncompete](#noncompete) for that product.
|
||||
|
||||
## Fair Use
|
||||
|
||||
You may have "fair use" rights for the software under the
|
||||
law. These terms do not limit them.
|
||||
|
||||
## No Other Rights
|
||||
|
||||
These terms do not allow you to sublicense or transfer any of
|
||||
your licenses to anyone else, or prevent the licensor from
|
||||
granting licenses to anyone else. These terms do not imply
|
||||
any other licenses.
|
||||
|
||||
## Patent Defense
|
||||
|
||||
If you make any written claim that the software infringes or
|
||||
contributes to infringement of any patent, your patent license
|
||||
for the software granted under these terms ends immediately. If
|
||||
your company makes such a claim, your patent license ends
|
||||
immediately for work on behalf of your company.
|
||||
|
||||
## Violations
|
||||
|
||||
The first time you are notified in writing that you have
|
||||
violated any of these terms, or done anything with the software
|
||||
not covered by your licenses, your licenses can nonetheless
|
||||
continue if you come into full compliance with these terms,
|
||||
and take practical steps to correct past violations, within
|
||||
32 days of receiving notice. Otherwise, all your licenses
|
||||
end immediately.
|
||||
|
||||
## No Liability
|
||||
|
||||
***As far as the law allows, the software comes as is, without
|
||||
any warranty or condition, and the licensor will not be liable
|
||||
to you for any damages arising out of these terms or the use
|
||||
or nature of the software, under any kind of legal claim.***
|
||||
|
||||
## Definitions
|
||||
|
||||
The **licensor** is the individual or entity offering these
|
||||
terms, and the **software** is the software the licensor makes
|
||||
available under these terms.
|
||||
|
||||
A **product** can be a good or service, or a combination
|
||||
of them.
|
||||
|
||||
**You** refers to the individual or entity agreeing to these
|
||||
terms.
|
||||
|
||||
**Your company** is any legal entity, sole proprietorship,
|
||||
or other kind of organization that you work for, plus all
|
||||
its affiliates.
|
||||
|
||||
**Affiliates** means the other organizations than an
|
||||
organization has control over, is under the control of, or is
|
||||
under common control with.
|
||||
|
||||
**Control** means ownership of substantially all the assets of
|
||||
an entity, or the power to direct its management and policies
|
||||
by vote, contract, or otherwise. Control can be direct or
|
||||
indirect.
|
||||
|
||||
**Your licenses** are all the licenses granted to you for the
|
||||
software under these terms.
|
||||
|
||||
**Use** means anything you do with the software requiring one
|
||||
of your licenses.
|
||||
|
|
@ -1,151 +0,0 @@
|
|||
# AutoGPT Platform
|
||||
|
||||
Welcome to the AutoGPT Platform - a powerful system for creating and running AI agents to solve business problems. This platform enables you to harness the power of artificial intelligence to automate tasks, analyze data, and generate insights for your organization.
|
||||
|
||||
## Getting Started
|
||||
|
||||
### Prerequisites
|
||||
|
||||
- Docker
|
||||
- Docker Compose V2 (comes with Docker Desktop, or can be installed separately)
|
||||
- Node.js & NPM (for running the frontend application)
|
||||
|
||||
### Running the System
|
||||
|
||||
To run the AutoGPT Platform, follow these steps:
|
||||
|
||||
1. Clone this repository to your local machine and navigate to the `autogpt_platform` directory within the repository:
|
||||
```
|
||||
git clone <https://github.com/Significant-Gravitas/AutoGPT.git | git@github.com:Significant-Gravitas/AutoGPT.git>
|
||||
cd AutoGPT/autogpt_platform
|
||||
```
|
||||
|
||||
2. Run the following command:
|
||||
```
|
||||
git submodule update --init --recursive
|
||||
```
|
||||
This command will initialize and update the submodules in the repository. The `supabase` folder will be cloned to the root directory.
|
||||
|
||||
3. Run the following command:
|
||||
```
|
||||
cp supabase/docker/.env.example .env
|
||||
```
|
||||
This command will copy the `.env.example` file to `.env` in the `supabase/docker` directory. You can modify the `.env` file to add your own environment variables.
|
||||
|
||||
4. Run the following command:
|
||||
```
|
||||
docker compose up -d
|
||||
```
|
||||
This command will start all the necessary backend services defined in the `docker-compose.yml` file in detached mode.
|
||||
|
||||
5. Navigate to `frontend` within the `autogpt_platform` directory:
|
||||
```
|
||||
cd frontend
|
||||
```
|
||||
You will need to run your frontend application separately on your local machine.
|
||||
|
||||
6. Run the following command:
|
||||
```
|
||||
cp .env.example .env.local
|
||||
```
|
||||
This command will copy the `.env.example` file to `.env.local` in the `frontend` directory. You can modify the `.env.local` within this folder to add your own environment variables for the frontend application.
|
||||
|
||||
7. Run the following command:
|
||||
```
|
||||
npm install
|
||||
npm run dev
|
||||
```
|
||||
This command will install the necessary dependencies and start the frontend application in development mode.
|
||||
If you are using Yarn, you can run the following commands instead:
|
||||
```
|
||||
yarn install && yarn dev
|
||||
```
|
||||
|
||||
8. Open your browser and navigate to `http://localhost:3000` to access the AutoGPT Platform frontend.
|
||||
|
||||
### Docker Compose Commands
|
||||
|
||||
Here are some useful Docker Compose commands for managing your AutoGPT Platform:
|
||||
|
||||
- `docker compose up -d`: Start the services in detached mode.
|
||||
- `docker compose stop`: Stop the running services without removing them.
|
||||
- `docker compose rm`: Remove stopped service containers.
|
||||
- `docker compose build`: Build or rebuild services.
|
||||
- `docker compose down`: Stop and remove containers, networks, and volumes.
|
||||
- `docker compose watch`: Watch for changes in your services and automatically update them.
|
||||
|
||||
|
||||
### Sample Scenarios
|
||||
|
||||
Here are some common scenarios where you might use multiple Docker Compose commands:
|
||||
|
||||
1. Updating and restarting a specific service:
|
||||
```
|
||||
docker compose build api_srv
|
||||
docker compose up -d --no-deps api_srv
|
||||
```
|
||||
This rebuilds the `api_srv` service and restarts it without affecting other services.
|
||||
|
||||
2. Viewing logs for troubleshooting:
|
||||
```
|
||||
docker compose logs -f api_srv ws_srv
|
||||
```
|
||||
This shows and follows the logs for both `api_srv` and `ws_srv` services.
|
||||
|
||||
3. Scaling a service for increased load:
|
||||
```
|
||||
docker compose up -d --scale executor=3
|
||||
```
|
||||
This scales the `executor` service to 3 instances to handle increased load.
|
||||
|
||||
4. Stopping the entire system for maintenance:
|
||||
```
|
||||
docker compose stop
|
||||
docker compose rm -f
|
||||
docker compose pull
|
||||
docker compose up -d
|
||||
```
|
||||
This stops all services, removes containers, pulls the latest images, and restarts the system.
|
||||
|
||||
5. Developing with live updates:
|
||||
```
|
||||
docker compose watch
|
||||
```
|
||||
This watches for changes in your code and automatically updates the relevant services.
|
||||
|
||||
6. Checking the status of services:
|
||||
```
|
||||
docker compose ps
|
||||
```
|
||||
This shows the current status of all services defined in your docker-compose.yml file.
|
||||
|
||||
These scenarios demonstrate how to use Docker Compose commands in combination to manage your AutoGPT Platform effectively.
|
||||
|
||||
|
||||
### Persisting Data
|
||||
|
||||
To persist data for PostgreSQL and Redis, you can modify the `docker-compose.yml` file to add volumes. Here's how:
|
||||
|
||||
1. Open the `docker-compose.yml` file in a text editor.
|
||||
2. Add volume configurations for PostgreSQL and Redis services:
|
||||
|
||||
```yaml
|
||||
services:
|
||||
postgres:
|
||||
# ... other configurations ...
|
||||
volumes:
|
||||
- postgres_data:/var/lib/postgresql/data
|
||||
|
||||
redis:
|
||||
# ... other configurations ...
|
||||
volumes:
|
||||
- redis_data:/data
|
||||
|
||||
volumes:
|
||||
postgres_data:
|
||||
redis_data:
|
||||
```
|
||||
|
||||
3. Save the file and run `docker compose up -d` to apply the changes.
|
||||
|
||||
This configuration will create named volumes for PostgreSQL and Redis, ensuring that your data persists across container restarts.
|
||||
|
|
@ -1,3 +0,0 @@
|
|||
# AutoGPT Libs
|
||||
|
||||
This is a new project to store shared functionality across different services in NextGen AutoGPT (e.g. authentication)
|
||||
|
|
@ -1,34 +0,0 @@
|
|||
import hashlib
|
||||
import secrets
|
||||
from typing import NamedTuple
|
||||
|
||||
|
||||
class APIKeyContainer(NamedTuple):
|
||||
"""Container for API key parts."""
|
||||
|
||||
raw: str
|
||||
prefix: str
|
||||
postfix: str
|
||||
hash: str
|
||||
|
||||
|
||||
class APIKeyManager:
|
||||
PREFIX: str = "agpt_"
|
||||
PREFIX_LENGTH: int = 8
|
||||
POSTFIX_LENGTH: int = 8
|
||||
|
||||
def generate_api_key(self) -> APIKeyContainer:
|
||||
"""Generate a new API key with all its parts."""
|
||||
raw_key = f"{self.PREFIX}{secrets.token_urlsafe(32)}"
|
||||
return APIKeyContainer(
|
||||
raw=raw_key,
|
||||
prefix=raw_key[: self.PREFIX_LENGTH],
|
||||
postfix=raw_key[-self.POSTFIX_LENGTH :],
|
||||
hash=hashlib.sha256(raw_key.encode()).hexdigest(),
|
||||
)
|
||||
|
||||
def verify_api_key(self, provided_key: str, stored_hash: str) -> bool:
|
||||
"""Verify if a provided API key matches the stored hash."""
|
||||
if not provided_key.startswith(self.PREFIX):
|
||||
return False
|
||||
return hashlib.sha256(provided_key.encode()).hexdigest() == stored_hash
|
||||
|
|
@ -1,14 +0,0 @@
|
|||
from .config import Settings
|
||||
from .depends import requires_admin_user, requires_user
|
||||
from .jwt_utils import parse_jwt_token
|
||||
from .middleware import auth_middleware
|
||||
from .models import User
|
||||
|
||||
__all__ = [
|
||||
"Settings",
|
||||
"parse_jwt_token",
|
||||
"requires_user",
|
||||
"requires_admin_user",
|
||||
"auth_middleware",
|
||||
"User",
|
||||
]
|
||||
|
|
@ -1,18 +0,0 @@
|
|||
import os
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
load_dotenv()
|
||||
|
||||
|
||||
class Settings:
|
||||
JWT_SECRET_KEY: str = os.getenv("SUPABASE_JWT_SECRET", "")
|
||||
ENABLE_AUTH: bool = os.getenv("ENABLE_AUTH", "false").lower() == "true"
|
||||
JWT_ALGORITHM: str = "HS256"
|
||||
|
||||
@property
|
||||
def is_configured(self) -> bool:
|
||||
return bool(self.JWT_SECRET_KEY)
|
||||
|
||||
|
||||
settings = Settings()
|
||||
|
|
@ -1,46 +0,0 @@
|
|||
import fastapi
|
||||
|
||||
from .config import Settings
|
||||
from .middleware import auth_middleware
|
||||
from .models import DEFAULT_USER_ID, User
|
||||
|
||||
|
||||
def requires_user(payload: dict = fastapi.Depends(auth_middleware)) -> User:
|
||||
return verify_user(payload, admin_only=False)
|
||||
|
||||
|
||||
def requires_admin_user(
|
||||
payload: dict = fastapi.Depends(auth_middleware),
|
||||
) -> User:
|
||||
return verify_user(payload, admin_only=True)
|
||||
|
||||
|
||||
def verify_user(payload: dict | None, admin_only: bool) -> User:
|
||||
if not payload:
|
||||
if Settings.ENABLE_AUTH:
|
||||
raise fastapi.HTTPException(
|
||||
status_code=401, detail="Authorization header is missing"
|
||||
)
|
||||
# This handles the case when authentication is disabled
|
||||
payload = {"sub": DEFAULT_USER_ID, "role": "admin"}
|
||||
|
||||
user_id = payload.get("sub")
|
||||
|
||||
if not user_id:
|
||||
raise fastapi.HTTPException(
|
||||
status_code=401, detail="User ID not found in token"
|
||||
)
|
||||
|
||||
if admin_only and payload["role"] != "admin":
|
||||
raise fastapi.HTTPException(status_code=403, detail="Admin access required")
|
||||
|
||||
return User.from_payload(payload)
|
||||
|
||||
|
||||
def get_user_id(payload: dict = fastapi.Depends(auth_middleware)) -> str:
|
||||
user_id = payload.get("sub")
|
||||
if not user_id:
|
||||
raise fastapi.HTTPException(
|
||||
status_code=401, detail="User ID not found in token"
|
||||
)
|
||||
return user_id
|
||||
|
|
@ -1,68 +0,0 @@
|
|||
import pytest
|
||||
|
||||
from .depends import requires_admin_user, requires_user, verify_user
|
||||
|
||||
|
||||
def test_verify_user_no_payload():
|
||||
user = verify_user(None, admin_only=False)
|
||||
assert user.user_id == "3e53486c-cf57-477e-ba2a-cb02dc828e1a"
|
||||
assert user.role == "admin"
|
||||
|
||||
|
||||
def test_verify_user_no_user_id():
|
||||
with pytest.raises(Exception):
|
||||
verify_user({"role": "admin"}, admin_only=False)
|
||||
|
||||
|
||||
def test_verify_user_not_admin():
|
||||
with pytest.raises(Exception):
|
||||
verify_user(
|
||||
{"sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1a", "role": "user"},
|
||||
admin_only=True,
|
||||
)
|
||||
|
||||
|
||||
def test_verify_user_with_admin_role():
|
||||
user = verify_user(
|
||||
{"sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1a", "role": "admin"},
|
||||
admin_only=True,
|
||||
)
|
||||
assert user.user_id == "3e53486c-cf57-477e-ba2a-cb02dc828e1a"
|
||||
assert user.role == "admin"
|
||||
|
||||
|
||||
def test_verify_user_with_user_role():
|
||||
user = verify_user(
|
||||
{"sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1a", "role": "user"},
|
||||
admin_only=False,
|
||||
)
|
||||
assert user.user_id == "3e53486c-cf57-477e-ba2a-cb02dc828e1a"
|
||||
assert user.role == "user"
|
||||
|
||||
|
||||
def test_requires_user():
|
||||
user = requires_user(
|
||||
{"sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1a", "role": "user"}
|
||||
)
|
||||
assert user.user_id == "3e53486c-cf57-477e-ba2a-cb02dc828e1a"
|
||||
assert user.role == "user"
|
||||
|
||||
|
||||
def test_requires_user_no_user_id():
|
||||
with pytest.raises(Exception):
|
||||
requires_user({"role": "user"})
|
||||
|
||||
|
||||
def test_requires_admin_user():
|
||||
user = requires_admin_user(
|
||||
{"sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1a", "role": "admin"}
|
||||
)
|
||||
assert user.user_id == "3e53486c-cf57-477e-ba2a-cb02dc828e1a"
|
||||
assert user.role == "admin"
|
||||
|
||||
|
||||
def test_requires_admin_user_not_admin():
|
||||
with pytest.raises(Exception):
|
||||
requires_admin_user(
|
||||
{"sub": "3e53486c-cf57-477e-ba2a-cb02dc828e1a", "role": "user"}
|
||||
)
|
||||
|
|
@ -1,27 +0,0 @@
|
|||
from typing import Any, Dict
|
||||
|
||||
import jwt
|
||||
|
||||
from .config import settings
|
||||
|
||||
|
||||
def parse_jwt_token(token: str) -> Dict[str, Any]:
|
||||
"""
|
||||
Parse and validate a JWT token.
|
||||
|
||||
:param token: The token to parse
|
||||
:return: The decoded payload
|
||||
:raises ValueError: If the token is invalid or expired
|
||||
"""
|
||||
try:
|
||||
payload = jwt.decode(
|
||||
token,
|
||||
settings.JWT_SECRET_KEY,
|
||||
algorithms=[settings.JWT_ALGORITHM],
|
||||
audience="authenticated",
|
||||
)
|
||||
return payload
|
||||
except jwt.ExpiredSignatureError:
|
||||
raise ValueError("Token has expired")
|
||||
except jwt.InvalidTokenError as e:
|
||||
raise ValueError(f"Invalid token: {str(e)}")
|
||||
|
|
@ -1,31 +0,0 @@
|
|||
import logging
|
||||
|
||||
from fastapi import HTTPException, Request
|
||||
from fastapi.security import HTTPBearer
|
||||
|
||||
from .config import settings
|
||||
from .jwt_utils import parse_jwt_token
|
||||
|
||||
security = HTTPBearer()
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
async def auth_middleware(request: Request):
|
||||
if not settings.ENABLE_AUTH:
|
||||
# If authentication is disabled, allow the request to proceed
|
||||
logger.warn("Auth disabled")
|
||||
return {}
|
||||
|
||||
security = HTTPBearer()
|
||||
credentials = await security(request)
|
||||
|
||||
if not credentials:
|
||||
raise HTTPException(status_code=401, detail="Authorization header is missing")
|
||||
|
||||
try:
|
||||
payload = parse_jwt_token(credentials.credentials)
|
||||
request.state.user = payload
|
||||
logger.debug("Token decoded successfully")
|
||||
except ValueError as e:
|
||||
raise HTTPException(status_code=401, detail=str(e))
|
||||
return payload
|
||||
|
|
@ -1,22 +0,0 @@
|
|||
from dataclasses import dataclass
|
||||
|
||||
DEFAULT_USER_ID = "3e53486c-cf57-477e-ba2a-cb02dc828e1a"
|
||||
DEFAULT_EMAIL = "default@example.com"
|
||||
|
||||
|
||||
# Using dataclass here to avoid adding dependency on pydantic
|
||||
@dataclass(frozen=True)
|
||||
class User:
|
||||
user_id: str
|
||||
email: str
|
||||
phone_number: str
|
||||
role: str
|
||||
|
||||
@classmethod
|
||||
def from_payload(cls, payload):
|
||||
return cls(
|
||||
user_id=payload["sub"],
|
||||
email=payload.get("email", ""),
|
||||
phone_number=payload.get("phone", ""),
|
||||
role=payload["role"],
|
||||
)
|
||||
|
|
@ -1,167 +0,0 @@
|
|||
import asyncio
|
||||
import contextlib
|
||||
import logging
|
||||
from functools import wraps
|
||||
from typing import Any, Awaitable, Callable, Dict, Optional, TypeVar, Union, cast
|
||||
|
||||
import ldclient
|
||||
from fastapi import HTTPException
|
||||
from ldclient import Context, LDClient
|
||||
from ldclient.config import Config
|
||||
from typing_extensions import ParamSpec
|
||||
|
||||
from .config import SETTINGS
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
logging.basicConfig(level=logging.DEBUG)
|
||||
|
||||
P = ParamSpec("P")
|
||||
T = TypeVar("T")
|
||||
|
||||
|
||||
def get_client() -> LDClient:
|
||||
"""Get the LaunchDarkly client singleton."""
|
||||
return ldclient.get()
|
||||
|
||||
|
||||
def initialize_launchdarkly() -> None:
|
||||
sdk_key = SETTINGS.launch_darkly_sdk_key
|
||||
logger.debug(
|
||||
f"Initializing LaunchDarkly with SDK key: {'present' if sdk_key else 'missing'}"
|
||||
)
|
||||
|
||||
if not sdk_key:
|
||||
logger.warning("LaunchDarkly SDK key not configured")
|
||||
return
|
||||
|
||||
config = Config(sdk_key)
|
||||
ldclient.set_config(config)
|
||||
|
||||
if ldclient.get().is_initialized():
|
||||
logger.info("LaunchDarkly client initialized successfully")
|
||||
else:
|
||||
logger.error("LaunchDarkly client failed to initialize")
|
||||
|
||||
|
||||
def shutdown_launchdarkly() -> None:
|
||||
"""Shutdown the LaunchDarkly client."""
|
||||
if ldclient.get().is_initialized():
|
||||
ldclient.get().close()
|
||||
logger.info("LaunchDarkly client closed successfully")
|
||||
|
||||
|
||||
def create_context(
|
||||
user_id: str, additional_attributes: Optional[Dict[str, Any]] = None
|
||||
) -> Context:
|
||||
"""Create LaunchDarkly context with optional additional attributes."""
|
||||
builder = Context.builder(str(user_id)).kind("user")
|
||||
if additional_attributes:
|
||||
for key, value in additional_attributes.items():
|
||||
builder.set(key, value)
|
||||
return builder.build()
|
||||
|
||||
|
||||
def feature_flag(
|
||||
flag_key: str,
|
||||
default: bool = False,
|
||||
) -> Callable[
|
||||
[Callable[P, Union[T, Awaitable[T]]]], Callable[P, Union[T, Awaitable[T]]]
|
||||
]:
|
||||
"""
|
||||
Decorator for feature flag protected endpoints.
|
||||
"""
|
||||
|
||||
def decorator(
|
||||
func: Callable[P, Union[T, Awaitable[T]]],
|
||||
) -> Callable[P, Union[T, Awaitable[T]]]:
|
||||
@wraps(func)
|
||||
async def async_wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
|
||||
try:
|
||||
user_id = kwargs.get("user_id")
|
||||
if not user_id:
|
||||
raise ValueError("user_id is required")
|
||||
|
||||
if not get_client().is_initialized():
|
||||
logger.warning(
|
||||
f"LaunchDarkly not initialized, using default={default}"
|
||||
)
|
||||
is_enabled = default
|
||||
else:
|
||||
context = create_context(str(user_id))
|
||||
is_enabled = get_client().variation(flag_key, context, default)
|
||||
|
||||
if not is_enabled:
|
||||
raise HTTPException(status_code=404, detail="Feature not available")
|
||||
|
||||
result = func(*args, **kwargs)
|
||||
if asyncio.iscoroutine(result):
|
||||
return await result
|
||||
return cast(T, result)
|
||||
except Exception as e:
|
||||
logger.error(f"Error evaluating feature flag {flag_key}: {e}")
|
||||
raise
|
||||
|
||||
@wraps(func)
|
||||
def sync_wrapper(*args: P.args, **kwargs: P.kwargs) -> T:
|
||||
try:
|
||||
user_id = kwargs.get("user_id")
|
||||
if not user_id:
|
||||
raise ValueError("user_id is required")
|
||||
|
||||
if not get_client().is_initialized():
|
||||
logger.warning(
|
||||
f"LaunchDarkly not initialized, using default={default}"
|
||||
)
|
||||
is_enabled = default
|
||||
else:
|
||||
context = create_context(str(user_id))
|
||||
is_enabled = get_client().variation(flag_key, context, default)
|
||||
|
||||
if not is_enabled:
|
||||
raise HTTPException(status_code=404, detail="Feature not available")
|
||||
|
||||
return cast(T, func(*args, **kwargs))
|
||||
except Exception as e:
|
||||
logger.error(f"Error evaluating feature flag {flag_key}: {e}")
|
||||
raise
|
||||
|
||||
return cast(
|
||||
Callable[P, Union[T, Awaitable[T]]],
|
||||
async_wrapper if asyncio.iscoroutinefunction(func) else sync_wrapper,
|
||||
)
|
||||
|
||||
return decorator
|
||||
|
||||
|
||||
def percentage_rollout(
|
||||
flag_key: str,
|
||||
default: bool = False,
|
||||
) -> Callable[
|
||||
[Callable[P, Union[T, Awaitable[T]]]], Callable[P, Union[T, Awaitable[T]]]
|
||||
]:
|
||||
"""Decorator for percentage-based rollouts."""
|
||||
return feature_flag(flag_key, default)
|
||||
|
||||
|
||||
def beta_feature(
|
||||
flag_key: Optional[str] = None,
|
||||
unauthorized_response: Any = {"message": "Not available in beta"},
|
||||
) -> Callable[
|
||||
[Callable[P, Union[T, Awaitable[T]]]], Callable[P, Union[T, Awaitable[T]]]
|
||||
]:
|
||||
"""Decorator for beta features."""
|
||||
actual_key = f"beta-{flag_key}" if flag_key else "beta"
|
||||
return feature_flag(actual_key, False)
|
||||
|
||||
|
||||
@contextlib.contextmanager
|
||||
def mock_flag_variation(flag_key: str, return_value: Any):
|
||||
"""Context manager for testing feature flags."""
|
||||
original_variation = get_client().variation
|
||||
get_client().variation = lambda key, context, default: (
|
||||
return_value if key == flag_key else original_variation(key, context, default)
|
||||
)
|
||||
try:
|
||||
yield
|
||||
finally:
|
||||
get_client().variation = original_variation
|
||||
|
|
@ -1,45 +0,0 @@
|
|||
import pytest
|
||||
from ldclient import LDClient
|
||||
|
||||
from autogpt_libs.feature_flag.client import feature_flag, mock_flag_variation
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def ld_client(mocker):
|
||||
client = mocker.Mock(spec=LDClient)
|
||||
mocker.patch("ldclient.get", return_value=client)
|
||||
client.is_initialized.return_value = True
|
||||
return client
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_feature_flag_enabled(ld_client):
|
||||
ld_client.variation.return_value = True
|
||||
|
||||
@feature_flag("test-flag")
|
||||
async def test_function(user_id: str):
|
||||
return "success"
|
||||
|
||||
result = test_function(user_id="test-user")
|
||||
assert result == "success"
|
||||
ld_client.variation.assert_called_once()
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_feature_flag_unauthorized_response(ld_client):
|
||||
ld_client.variation.return_value = False
|
||||
|
||||
@feature_flag("test-flag")
|
||||
async def test_function(user_id: str):
|
||||
return "success"
|
||||
|
||||
result = test_function(user_id="test-user")
|
||||
assert result == {"error": "disabled"}
|
||||
|
||||
|
||||
def test_mock_flag_variation(ld_client):
|
||||
with mock_flag_variation("test-flag", True):
|
||||
assert ld_client.variation("test-flag", None, False)
|
||||
|
||||
with mock_flag_variation("test-flag", False):
|
||||
assert ld_client.variation("test-flag", None, False)
|
||||
|
|
@ -1,15 +0,0 @@
|
|||
from pydantic import Field
|
||||
from pydantic_settings import BaseSettings, SettingsConfigDict
|
||||
|
||||
|
||||
class Settings(BaseSettings):
|
||||
launch_darkly_sdk_key: str = Field(
|
||||
default="",
|
||||
description="The Launch Darkly SDK key",
|
||||
validation_alias="LAUNCH_DARKLY_SDK_KEY",
|
||||
)
|
||||
|
||||
model_config = SettingsConfigDict(case_sensitive=True, extra="ignore")
|
||||
|
||||
|
||||
SETTINGS = Settings()
|
||||
|
|
@ -1,9 +0,0 @@
|
|||
from .config import configure_logging
|
||||
from .filters import BelowLevelFilter
|
||||
from .formatters import FancyConsoleFormatter
|
||||
|
||||
__all__ = [
|
||||
"configure_logging",
|
||||
"BelowLevelFilter",
|
||||
"FancyConsoleFormatter",
|
||||
]
|
||||
|
|
@ -1,166 +0,0 @@
|
|||
"""Logging module for Auto-GPT."""
|
||||
|
||||
import logging
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
from pydantic import Field, field_validator
|
||||
from pydantic_settings import BaseSettings, SettingsConfigDict
|
||||
|
||||
from .filters import BelowLevelFilter
|
||||
from .formatters import AGPTFormatter, StructuredLoggingFormatter
|
||||
|
||||
LOG_DIR = Path(__file__).parent.parent.parent.parent / "logs"
|
||||
LOG_FILE = "activity.log"
|
||||
DEBUG_LOG_FILE = "debug.log"
|
||||
ERROR_LOG_FILE = "error.log"
|
||||
|
||||
SIMPLE_LOG_FORMAT = "%(asctime)s %(levelname)s %(title)s%(message)s"
|
||||
|
||||
DEBUG_LOG_FORMAT = (
|
||||
"%(asctime)s %(levelname)s %(filename)s:%(lineno)d" " %(title)s%(message)s"
|
||||
)
|
||||
|
||||
|
||||
class LoggingConfig(BaseSettings):
|
||||
level: str = Field(
|
||||
default="INFO",
|
||||
description="Logging level",
|
||||
validation_alias="LOG_LEVEL",
|
||||
)
|
||||
|
||||
enable_cloud_logging: bool = Field(
|
||||
default=False,
|
||||
description="Enable logging to Google Cloud Logging",
|
||||
)
|
||||
|
||||
enable_file_logging: bool = Field(
|
||||
default=False,
|
||||
description="Enable logging to file",
|
||||
)
|
||||
# File output
|
||||
log_dir: Path = Field(
|
||||
default=LOG_DIR,
|
||||
description="Log directory",
|
||||
)
|
||||
|
||||
model_config = SettingsConfigDict(
|
||||
env_prefix="",
|
||||
env_file=".env",
|
||||
env_file_encoding="utf-8",
|
||||
extra="ignore",
|
||||
)
|
||||
|
||||
@field_validator("level", mode="before")
|
||||
@classmethod
|
||||
def parse_log_level(cls, v):
|
||||
if isinstance(v, str):
|
||||
v = v.upper()
|
||||
if v not in ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"]:
|
||||
raise ValueError(f"Invalid log level: {v}")
|
||||
return v
|
||||
return v
|
||||
|
||||
|
||||
def configure_logging(force_cloud_logging: bool = False) -> None:
|
||||
"""Configure the native logging module based on the LoggingConfig settings.
|
||||
|
||||
This function sets up logging handlers and formatters according to the
|
||||
configuration specified in the LoggingConfig object. It supports various
|
||||
logging outputs including console, file, cloud, and JSON logging.
|
||||
|
||||
The function uses the LoggingConfig object to determine which logging
|
||||
features to enable and how to configure them. This includes setting
|
||||
log levels, log formats, and output destinations.
|
||||
|
||||
No arguments are required as the function creates its own LoggingConfig
|
||||
instance internally.
|
||||
|
||||
Note: This function is typically called at the start of the application
|
||||
to set up the logging infrastructure.
|
||||
"""
|
||||
|
||||
config = LoggingConfig()
|
||||
|
||||
log_handlers: list[logging.Handler] = []
|
||||
|
||||
# Cloud logging setup
|
||||
if config.enable_cloud_logging or force_cloud_logging:
|
||||
import google.cloud.logging
|
||||
from google.cloud.logging.handlers import CloudLoggingHandler
|
||||
from google.cloud.logging_v2.handlers.transports.sync import SyncTransport
|
||||
|
||||
client = google.cloud.logging.Client()
|
||||
cloud_handler = CloudLoggingHandler(
|
||||
client,
|
||||
name="autogpt_logs",
|
||||
transport=SyncTransport,
|
||||
)
|
||||
cloud_handler.setLevel(config.level)
|
||||
cloud_handler.setFormatter(StructuredLoggingFormatter())
|
||||
log_handlers.append(cloud_handler)
|
||||
print("Cloud logging enabled")
|
||||
else:
|
||||
# Console output handlers
|
||||
stdout = logging.StreamHandler(stream=sys.stdout)
|
||||
stdout.setLevel(config.level)
|
||||
stdout.addFilter(BelowLevelFilter(logging.WARNING))
|
||||
if config.level == logging.DEBUG:
|
||||
stdout.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
|
||||
else:
|
||||
stdout.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
|
||||
|
||||
stderr = logging.StreamHandler()
|
||||
stderr.setLevel(logging.WARNING)
|
||||
if config.level == logging.DEBUG:
|
||||
stderr.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT))
|
||||
else:
|
||||
stderr.setFormatter(AGPTFormatter(SIMPLE_LOG_FORMAT))
|
||||
|
||||
log_handlers += [stdout, stderr]
|
||||
print("Console logging enabled")
|
||||
|
||||
# File logging setup
|
||||
if config.enable_file_logging:
|
||||
# create log directory if it doesn't exist
|
||||
if not config.log_dir.exists():
|
||||
config.log_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
print(f"Log directory: {config.log_dir}")
|
||||
|
||||
# Activity log handler (INFO and above)
|
||||
activity_log_handler = logging.FileHandler(
|
||||
config.log_dir / LOG_FILE, "a", "utf-8"
|
||||
)
|
||||
activity_log_handler.setLevel(config.level)
|
||||
activity_log_handler.setFormatter(
|
||||
AGPTFormatter(SIMPLE_LOG_FORMAT, no_color=True)
|
||||
)
|
||||
log_handlers.append(activity_log_handler)
|
||||
|
||||
if config.level == logging.DEBUG:
|
||||
# Debug log handler (all levels)
|
||||
debug_log_handler = logging.FileHandler(
|
||||
config.log_dir / DEBUG_LOG_FILE, "a", "utf-8"
|
||||
)
|
||||
debug_log_handler.setLevel(logging.DEBUG)
|
||||
debug_log_handler.setFormatter(
|
||||
AGPTFormatter(DEBUG_LOG_FORMAT, no_color=True)
|
||||
)
|
||||
log_handlers.append(debug_log_handler)
|
||||
|
||||
# Error log handler (ERROR and above)
|
||||
error_log_handler = logging.FileHandler(
|
||||
config.log_dir / ERROR_LOG_FILE, "a", "utf-8"
|
||||
)
|
||||
error_log_handler.setLevel(logging.ERROR)
|
||||
error_log_handler.setFormatter(AGPTFormatter(DEBUG_LOG_FORMAT, no_color=True))
|
||||
log_handlers.append(error_log_handler)
|
||||
print("File logging enabled")
|
||||
|
||||
# Configure the root logger
|
||||
logging.basicConfig(
|
||||
format=DEBUG_LOG_FORMAT if config.level == logging.DEBUG else SIMPLE_LOG_FORMAT,
|
||||
level=config.level,
|
||||
handlers=log_handlers,
|
||||
)
|
||||
|
|
@ -1,12 +0,0 @@
|
|||
import logging
|
||||
|
||||
|
||||
class BelowLevelFilter(logging.Filter):
|
||||
"""Filter for logging levels below a certain threshold."""
|
||||
|
||||
def __init__(self, below_level: int):
|
||||
super().__init__()
|
||||
self.below_level = below_level
|
||||
|
||||
def filter(self, record: logging.LogRecord):
|
||||
return record.levelno < self.below_level
|
||||
|
|
@ -1,95 +0,0 @@
|
|||
import logging
|
||||
|
||||
from colorama import Fore, Style
|
||||
from google.cloud.logging_v2.handlers import CloudLoggingFilter, StructuredLogHandler
|
||||
|
||||
from .utils import remove_color_codes
|
||||
|
||||
|
||||
class FancyConsoleFormatter(logging.Formatter):
|
||||
"""
|
||||
A custom logging formatter designed for console output.
|
||||
|
||||
This formatter enhances the standard logging output with color coding. The color
|
||||
coding is based on the level of the log message, making it easier to distinguish
|
||||
between different types of messages in the console output.
|
||||
|
||||
The color for each level is defined in the LEVEL_COLOR_MAP class attribute.
|
||||
"""
|
||||
|
||||
# level -> (level & text color, title color)
|
||||
LEVEL_COLOR_MAP = {
|
||||
logging.DEBUG: Fore.LIGHTBLACK_EX,
|
||||
logging.INFO: Fore.BLUE,
|
||||
logging.WARNING: Fore.YELLOW,
|
||||
logging.ERROR: Fore.RED,
|
||||
logging.CRITICAL: Fore.RED + Style.BRIGHT,
|
||||
}
|
||||
|
||||
def format(self, record: logging.LogRecord) -> str:
|
||||
# Make sure `msg` is a string
|
||||
if not hasattr(record, "msg"):
|
||||
record.msg = ""
|
||||
elif type(record.msg) is not str:
|
||||
record.msg = str(record.msg)
|
||||
|
||||
# Determine default color based on error level
|
||||
level_color = ""
|
||||
if record.levelno in self.LEVEL_COLOR_MAP:
|
||||
level_color = self.LEVEL_COLOR_MAP[record.levelno]
|
||||
record.levelname = f"{level_color}{record.levelname}{Style.RESET_ALL}"
|
||||
|
||||
# Determine color for message
|
||||
color = getattr(record, "color", level_color)
|
||||
color_is_specified = hasattr(record, "color")
|
||||
|
||||
# Don't color INFO messages unless the color is explicitly specified.
|
||||
if color and (record.levelno != logging.INFO or color_is_specified):
|
||||
record.msg = f"{color}{record.msg}{Style.RESET_ALL}"
|
||||
|
||||
return super().format(record)
|
||||
|
||||
|
||||
class AGPTFormatter(FancyConsoleFormatter):
|
||||
def __init__(self, *args, no_color: bool = False, **kwargs):
|
||||
super().__init__(*args, **kwargs)
|
||||
self.no_color = no_color
|
||||
|
||||
def format(self, record: logging.LogRecord) -> str:
|
||||
# Make sure `msg` is a string
|
||||
if not hasattr(record, "msg"):
|
||||
record.msg = ""
|
||||
elif type(record.msg) is not str:
|
||||
record.msg = str(record.msg)
|
||||
|
||||
# Strip color from the message to prevent color spoofing
|
||||
if record.msg and not getattr(record, "preserve_color", False):
|
||||
record.msg = remove_color_codes(record.msg)
|
||||
|
||||
# Determine color for title
|
||||
title = getattr(record, "title", "")
|
||||
title_color = getattr(record, "title_color", "") or self.LEVEL_COLOR_MAP.get(
|
||||
record.levelno, ""
|
||||
)
|
||||
if title and title_color:
|
||||
title = f"{title_color + Style.BRIGHT}{title}{Style.RESET_ALL}"
|
||||
# Make sure record.title is set, and padded with a space if not empty
|
||||
record.title = f"{title} " if title else ""
|
||||
|
||||
if self.no_color:
|
||||
return remove_color_codes(super().format(record))
|
||||
else:
|
||||
return super().format(record)
|
||||
|
||||
|
||||
class StructuredLoggingFormatter(StructuredLogHandler, logging.Formatter):
|
||||
def __init__(self):
|
||||
# Set up CloudLoggingFilter to add diagnostic info to the log records
|
||||
self.cloud_logging_filter = CloudLoggingFilter()
|
||||
|
||||
# Init StructuredLogHandler
|
||||
super().__init__()
|
||||
|
||||
def format(self, record: logging.LogRecord) -> str:
|
||||
self.cloud_logging_filter.filter(record)
|
||||
return super().format(record)
|
||||
|
|
@ -1,14 +0,0 @@
|
|||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import logging
|
||||
|
||||
|
||||
class JsonFileHandler(logging.FileHandler):
|
||||
def format(self, record: logging.LogRecord) -> str:
|
||||
record.json_data = json.loads(record.getMessage())
|
||||
return json.dumps(getattr(record, "json_data"), ensure_ascii=False, indent=4)
|
||||
|
||||
def emit(self, record: logging.LogRecord) -> None:
|
||||
with open(self.baseFilename, "w", encoding="utf-8") as f:
|
||||
f.write(self.format(record))
|
||||
|
|
@ -1,36 +0,0 @@
|
|||
import pytest
|
||||
|
||||
from .utils import remove_color_codes
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"raw_text, clean_text",
|
||||
[
|
||||
(
|
||||
"COMMAND = \x1b[36mbrowse_website\x1b[0m "
|
||||
"ARGUMENTS = \x1b[36m{'url': 'https://www.google.com',"
|
||||
" 'question': 'What is the capital of France?'}\x1b[0m",
|
||||
"COMMAND = browse_website "
|
||||
"ARGUMENTS = {'url': 'https://www.google.com',"
|
||||
" 'question': 'What is the capital of France?'}",
|
||||
),
|
||||
(
|
||||
"{'Schaue dir meine Projekte auf github () an, als auch meine Webseiten': "
|
||||
"'https://github.com/Significant-Gravitas/AutoGPT,"
|
||||
" https://discord.gg/autogpt und https://twitter.com/Auto_GPT'}",
|
||||
"{'Schaue dir meine Projekte auf github () an, als auch meine Webseiten': "
|
||||
"'https://github.com/Significant-Gravitas/AutoGPT,"
|
||||
" https://discord.gg/autogpt und https://twitter.com/Auto_GPT'}",
|
||||
),
|
||||
("", ""),
|
||||
("hello", "hello"),
|
||||
("hello\x1b[31m world", "hello world"),
|
||||
("\x1b[36mHello,\x1b[32m World!", "Hello, World!"),
|
||||
(
|
||||
"\x1b[1m\x1b[31mError:\x1b[0m\x1b[31m file not found",
|
||||
"Error: file not found",
|
||||
),
|
||||
],
|
||||
)
|
||||
def test_remove_color_codes(raw_text, clean_text):
|
||||
assert remove_color_codes(raw_text) == clean_text
|
||||
|
|
@ -1,27 +0,0 @@
|
|||
import logging
|
||||
import re
|
||||
from typing import Any
|
||||
|
||||
from colorama import Fore
|
||||
|
||||
|
||||
def remove_color_codes(s: str) -> str:
|
||||
return re.sub(r"\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])", "", s)
|
||||
|
||||
|
||||
def fmt_kwargs(kwargs: dict) -> str:
|
||||
return ", ".join(f"{n}={repr(v)}" for n, v in kwargs.items())
|
||||
|
||||
|
||||
def print_attribute(
|
||||
title: str, value: Any, title_color: str = Fore.GREEN, value_color: str = ""
|
||||
) -> None:
|
||||
logger = logging.getLogger()
|
||||
logger.info(
|
||||
str(value),
|
||||
extra={
|
||||
"title": f"{title.rstrip(':')}:",
|
||||
"title_color": title_color,
|
||||
"color": value_color,
|
||||
},
|
||||
)
|
||||
|
|
@ -1,31 +0,0 @@
|
|||
from pydantic import Field
|
||||
from pydantic_settings import BaseSettings, SettingsConfigDict
|
||||
|
||||
|
||||
class RateLimitSettings(BaseSettings):
|
||||
redis_host: str = Field(
|
||||
default="redis://localhost:6379",
|
||||
description="Redis host",
|
||||
validation_alias="REDIS_HOST",
|
||||
)
|
||||
|
||||
redis_port: str = Field(
|
||||
default="6379", description="Redis port", validation_alias="REDIS_PORT"
|
||||
)
|
||||
|
||||
redis_password: str = Field(
|
||||
default="password",
|
||||
description="Redis password",
|
||||
validation_alias="REDIS_PASSWORD",
|
||||
)
|
||||
|
||||
requests_per_minute: int = Field(
|
||||
default=60,
|
||||
description="Maximum number of requests allowed per minute per API key",
|
||||
validation_alias="RATE_LIMIT_REQUESTS_PER_MINUTE",
|
||||
)
|
||||
|
||||
model_config = SettingsConfigDict(case_sensitive=True, extra="ignore")
|
||||
|
||||
|
||||
RATE_LIMIT_SETTINGS = RateLimitSettings()
|
||||
|
|
@ -1,51 +0,0 @@
|
|||
import time
|
||||
from typing import Tuple
|
||||
|
||||
from redis import Redis
|
||||
|
||||
from .config import RATE_LIMIT_SETTINGS
|
||||
|
||||
|
||||
class RateLimiter:
|
||||
def __init__(
|
||||
self,
|
||||
redis_host: str = RATE_LIMIT_SETTINGS.redis_host,
|
||||
redis_port: str = RATE_LIMIT_SETTINGS.redis_port,
|
||||
redis_password: str = RATE_LIMIT_SETTINGS.redis_password,
|
||||
requests_per_minute: int = RATE_LIMIT_SETTINGS.requests_per_minute,
|
||||
):
|
||||
self.redis = Redis(
|
||||
host=redis_host,
|
||||
port=int(redis_port),
|
||||
password=redis_password,
|
||||
decode_responses=True,
|
||||
)
|
||||
self.window = 60
|
||||
self.max_requests = requests_per_minute
|
||||
|
||||
async def check_rate_limit(self, api_key_id: str) -> Tuple[bool, int, int]:
|
||||
"""
|
||||
Check if request is within rate limits.
|
||||
|
||||
Args:
|
||||
api_key_id: The API key identifier to check
|
||||
|
||||
Returns:
|
||||
Tuple of (is_allowed, remaining_requests, reset_time)
|
||||
"""
|
||||
now = time.time()
|
||||
window_start = now - self.window
|
||||
key = f"ratelimit:{api_key_id}:1min"
|
||||
|
||||
pipe = self.redis.pipeline()
|
||||
pipe.zremrangebyscore(key, 0, window_start)
|
||||
pipe.zadd(key, {str(now): now})
|
||||
pipe.zcount(key, window_start, now)
|
||||
pipe.expire(key, self.window)
|
||||
|
||||
_, _, request_count, _ = pipe.execute()
|
||||
|
||||
remaining = max(0, self.max_requests - request_count)
|
||||
reset_time = int(now + self.window)
|
||||
|
||||
return request_count <= self.max_requests, remaining, reset_time
|
||||
|
|
@ -1,32 +0,0 @@
|
|||
from fastapi import HTTPException, Request
|
||||
from starlette.middleware.base import RequestResponseEndpoint
|
||||
|
||||
from .limiter import RateLimiter
|
||||
|
||||
|
||||
async def rate_limit_middleware(request: Request, call_next: RequestResponseEndpoint):
|
||||
"""FastAPI middleware for rate limiting API requests."""
|
||||
limiter = RateLimiter()
|
||||
|
||||
if not request.url.path.startswith("/api"):
|
||||
return await call_next(request)
|
||||
|
||||
api_key = request.headers.get("Authorization")
|
||||
if not api_key:
|
||||
return await call_next(request)
|
||||
|
||||
api_key = api_key.replace("Bearer ", "")
|
||||
|
||||
is_allowed, remaining, reset_time = await limiter.check_rate_limit(api_key)
|
||||
|
||||
if not is_allowed:
|
||||
raise HTTPException(
|
||||
status_code=429, detail="Rate limit exceeded. Please try again later."
|
||||
)
|
||||
|
||||
response = await call_next(request)
|
||||
response.headers["X-RateLimit-Limit"] = str(limiter.max_requests)
|
||||
response.headers["X-RateLimit-Remaining"] = str(remaining)
|
||||
response.headers["X-RateLimit-Reset"] = str(reset_time)
|
||||
|
||||
return response
|
||||
|
|
@ -1,76 +0,0 @@
|
|||
from typing import Annotated, Any, Literal, Optional, TypedDict
|
||||
from uuid import uuid4
|
||||
|
||||
from pydantic import BaseModel, Field, SecretStr, field_serializer
|
||||
|
||||
|
||||
class _BaseCredentials(BaseModel):
|
||||
id: str = Field(default_factory=lambda: str(uuid4()))
|
||||
provider: str
|
||||
title: Optional[str]
|
||||
|
||||
@field_serializer("*")
|
||||
def dump_secret_strings(value: Any, _info):
|
||||
if isinstance(value, SecretStr):
|
||||
return value.get_secret_value()
|
||||
return value
|
||||
|
||||
|
||||
class OAuth2Credentials(_BaseCredentials):
|
||||
type: Literal["oauth2"] = "oauth2"
|
||||
username: Optional[str]
|
||||
"""Username of the third-party service user that these credentials belong to"""
|
||||
access_token: SecretStr
|
||||
access_token_expires_at: Optional[int]
|
||||
"""Unix timestamp (seconds) indicating when the access token expires (if at all)"""
|
||||
refresh_token: Optional[SecretStr]
|
||||
refresh_token_expires_at: Optional[int]
|
||||
"""Unix timestamp (seconds) indicating when the refresh token expires (if at all)"""
|
||||
scopes: list[str]
|
||||
metadata: dict[str, Any] = Field(default_factory=dict)
|
||||
|
||||
def bearer(self) -> str:
|
||||
return f"Bearer {self.access_token.get_secret_value()}"
|
||||
|
||||
|
||||
class APIKeyCredentials(_BaseCredentials):
|
||||
type: Literal["api_key"] = "api_key"
|
||||
api_key: SecretStr
|
||||
expires_at: Optional[int]
|
||||
"""Unix timestamp (seconds) indicating when the API key expires (if at all)"""
|
||||
|
||||
def bearer(self) -> str:
|
||||
return f"Bearer {self.api_key.get_secret_value()}"
|
||||
|
||||
|
||||
Credentials = Annotated[
|
||||
OAuth2Credentials | APIKeyCredentials,
|
||||
Field(discriminator="type"),
|
||||
]
|
||||
|
||||
|
||||
CredentialsType = Literal["api_key", "oauth2"]
|
||||
|
||||
|
||||
class OAuthState(BaseModel):
|
||||
token: str
|
||||
provider: str
|
||||
expires_at: int
|
||||
code_verifier: Optional[str] = None
|
||||
scopes: list[str]
|
||||
"""Unix timestamp (seconds) indicating when this OAuth state expires"""
|
||||
|
||||
|
||||
class UserMetadata(BaseModel):
|
||||
integration_credentials: list[Credentials] = Field(default_factory=list)
|
||||
integration_oauth_states: list[OAuthState] = Field(default_factory=list)
|
||||
|
||||
|
||||
class UserMetadataRaw(TypedDict, total=False):
|
||||
integration_credentials: list[dict]
|
||||
integration_oauth_states: list[dict]
|
||||
|
||||
|
||||
class UserIntegrations(BaseModel):
|
||||
credentials: list[Credentials] = Field(default_factory=list)
|
||||
oauth_states: list[OAuthState] = Field(default_factory=list)
|
||||
|
|
@ -1,20 +0,0 @@
|
|||
import threading
|
||||
from typing import Callable, ParamSpec, TypeVar
|
||||
|
||||
P = ParamSpec("P")
|
||||
R = TypeVar("R")
|
||||
|
||||
|
||||
def thread_cached(func: Callable[P, R]) -> Callable[P, R]:
|
||||
thread_local = threading.local()
|
||||
|
||||
def wrapper(*args: P.args, **kwargs: P.kwargs) -> R:
|
||||
cache = getattr(thread_local, "cache", None)
|
||||
if cache is None:
|
||||
cache = thread_local.cache = {}
|
||||
key = (args, tuple(sorted(kwargs.items())))
|
||||
if key not in cache:
|
||||
cache[key] = func(*args, **kwargs)
|
||||
return cache[key]
|
||||
|
||||
return wrapper
|
||||
|
|
@ -1,57 +0,0 @@
|
|||
from contextlib import contextmanager
|
||||
from threading import Lock
|
||||
from typing import TYPE_CHECKING, Any
|
||||
|
||||
from expiringdict import ExpiringDict
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from redis import Redis
|
||||
from redis.lock import Lock as RedisLock
|
||||
|
||||
|
||||
class RedisKeyedMutex:
|
||||
"""
|
||||
This class provides a mutex that can be locked and unlocked by a specific key,
|
||||
using Redis as a distributed locking provider.
|
||||
It uses an ExpiringDict to automatically clear the mutex after a specified timeout,
|
||||
in case the key is not unlocked for a specified duration, to prevent memory leaks.
|
||||
"""
|
||||
|
||||
def __init__(self, redis: "Redis", timeout: int | None = 60):
|
||||
self.redis = redis
|
||||
self.timeout = timeout
|
||||
self.locks: dict[Any, "RedisLock"] = ExpiringDict(
|
||||
max_len=6000, max_age_seconds=self.timeout
|
||||
)
|
||||
self.locks_lock = Lock()
|
||||
|
||||
@contextmanager
|
||||
def locked(self, key: Any):
|
||||
lock = self.acquire(key)
|
||||
try:
|
||||
yield
|
||||
finally:
|
||||
if lock.locked():
|
||||
lock.release()
|
||||
|
||||
def acquire(self, key: Any) -> "RedisLock":
|
||||
"""Acquires and returns a lock with the given key"""
|
||||
with self.locks_lock:
|
||||
if key not in self.locks:
|
||||
self.locks[key] = self.redis.lock(
|
||||
str(key), self.timeout, thread_local=False
|
||||
)
|
||||
lock = self.locks[key]
|
||||
lock.acquire()
|
||||
return lock
|
||||
|
||||
def release(self, key: Any):
|
||||
if (lock := self.locks.get(key)) and lock.locked() and lock.owned():
|
||||
lock.release()
|
||||
|
||||
def release_all_locks(self):
|
||||
"""Call this on process termination to ensure all locks are released"""
|
||||
self.locks_lock.acquire(blocking=False)
|
||||
for lock in self.locks.values():
|
||||
if lock.locked() and lock.owned():
|
||||
lock.release()
|
||||
File diff suppressed because it is too large
Load Diff
|
|
@ -1,34 +0,0 @@
|
|||
[tool.poetry]
|
||||
name = "autogpt-libs"
|
||||
version = "0.2.0"
|
||||
description = "Shared libraries across NextGen AutoGPT"
|
||||
authors = ["Aarushi <aarushik93@gmail.com>"]
|
||||
readme = "README.md"
|
||||
packages = [{ include = "autogpt_libs" }]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
colorama = "^0.4.6"
|
||||
expiringdict = "^1.2.2"
|
||||
google-cloud-logging = "^3.11.3"
|
||||
pydantic = "^2.10.3"
|
||||
pydantic-settings = "^2.7.0"
|
||||
pyjwt = "^2.10.1"
|
||||
pytest-asyncio = "^0.25.0"
|
||||
pytest-mock = "^3.14.0"
|
||||
python = ">=3.10,<4.0"
|
||||
python-dotenv = "^1.0.1"
|
||||
supabase = "^2.10.0"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
redis = "^5.2.1"
|
||||
ruff = "^0.8.6"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
|
||||
[tool.ruff]
|
||||
line-length = 88
|
||||
|
||||
[tool.ruff.lint]
|
||||
extend-select = ["I"] # sort dependencies
|
||||
|
|
@ -1,141 +0,0 @@
|
|||
DB_USER=postgres
|
||||
DB_PASS=your-super-secret-and-long-postgres-password
|
||||
DB_NAME=postgres
|
||||
DB_PORT=5432
|
||||
DATABASE_URL="postgresql://${DB_USER}:${DB_PASS}@localhost:${DB_PORT}/${DB_NAME}?connect_timeout=60&schema=platform"
|
||||
PRISMA_SCHEMA="postgres/schema.prisma"
|
||||
|
||||
BACKEND_CORS_ALLOW_ORIGINS=["http://localhost:3000"]
|
||||
|
||||
# generate using `from cryptography.fernet import Fernet;Fernet.generate_key().decode()`
|
||||
ENCRYPTION_KEY='dvziYgz0KSK8FENhju0ZYi8-fRTfAdlz6YLhdB_jhNw='
|
||||
|
||||
REDIS_HOST=localhost
|
||||
REDIS_PORT=6379
|
||||
REDIS_PASSWORD=password
|
||||
|
||||
ENABLE_CREDIT=false
|
||||
# What environment things should be logged under: local dev or prod
|
||||
APP_ENV=local
|
||||
# What environment to behave as: "local" or "cloud"
|
||||
BEHAVE_AS=local
|
||||
PYRO_HOST=localhost
|
||||
SENTRY_DSN=
|
||||
|
||||
## User auth with Supabase is required for any of the 3rd party integrations with auth to work.
|
||||
ENABLE_AUTH=true
|
||||
SUPABASE_URL=http://localhost:8000
|
||||
SUPABASE_SERVICE_ROLE_KEY=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyAgCiAgICAicm9sZSI6ICJzZXJ2aWNlX3JvbGUiLAogICAgImlzcyI6ICJzdXBhYmFzZS1kZW1vIiwKICAgICJpYXQiOiAxNjQxNzY5MjAwLAogICAgImV4cCI6IDE3OTk1MzU2MDAKfQ.DaYlNEoUrrEn2Ig7tqibS-PHK5vgusbcbo7X36XVt4Q
|
||||
SUPABASE_JWT_SECRET=your-super-secret-jwt-token-with-at-least-32-characters-long
|
||||
|
||||
## For local development, you may need to set FRONTEND_BASE_URL for the OAuth flow
|
||||
## for integrations to work. Defaults to the value of PLATFORM_BASE_URL if not set.
|
||||
# FRONTEND_BASE_URL=http://localhost:3000
|
||||
|
||||
## PLATFORM_BASE_URL must be set to a *publicly accessible* URL pointing to your backend
|
||||
## to use the platform's webhook-related functionality.
|
||||
## If you are developing locally, you can use something like ngrok to get a publc URL
|
||||
## and tunnel it to your locally running backend.
|
||||
PLATFORM_BASE_URL=https://your-public-url-here
|
||||
|
||||
## == INTEGRATION CREDENTIALS == ##
|
||||
# Each set of server side credentials is required for the corresponding 3rd party
|
||||
# integration to work.
|
||||
|
||||
# For the OAuth callback URL, use <your_frontend_url>/auth/integrations/oauth_callback,
|
||||
# e.g. http://localhost:3000/auth/integrations/oauth_callback
|
||||
|
||||
# GitHub OAuth App server credentials - https://github.com/settings/developers
|
||||
GITHUB_CLIENT_ID=
|
||||
GITHUB_CLIENT_SECRET=
|
||||
|
||||
# Google OAuth App server credentials - https://console.cloud.google.com/apis/credentials, and enable gmail api and set scopes
|
||||
# https://console.cloud.google.com/apis/credentials/consent ?project=<your_project_id>
|
||||
|
||||
# You'll need to add/enable the following scopes (minimum):
|
||||
# https://console.developers.google.com/apis/api/gmail.googleapis.com/overview ?project=<your_project_id>
|
||||
# https://console.cloud.google.com/apis/library/sheets.googleapis.com/ ?project=<your_project_id>
|
||||
GOOGLE_CLIENT_ID=
|
||||
GOOGLE_CLIENT_SECRET=
|
||||
|
||||
# Twitter (X) OAuth 2.0 with PKCE Configuration
|
||||
# 1. Create a Twitter Developer Account:
|
||||
# - Visit https://developer.x.com/en and sign up
|
||||
# 2. Set up your application:
|
||||
# - Navigate to Developer Portal > Projects > Create Project
|
||||
# - Add a new app to your project
|
||||
# 3. Configure app settings:
|
||||
# - App Permissions: Read + Write + Direct Messages
|
||||
# - App Type: Web App, Automated App or Bot
|
||||
# - OAuth 2.0 Callback URL: http://localhost:3000/auth/integrations/oauth_callback
|
||||
# - Save your Client ID and Client Secret below
|
||||
TWITTER_CLIENT_ID=
|
||||
TWITTER_CLIENT_SECRET=
|
||||
|
||||
|
||||
## ===== OPTIONAL API KEYS ===== ##
|
||||
|
||||
# LLM
|
||||
OPENAI_API_KEY=
|
||||
ANTHROPIC_API_KEY=
|
||||
GROQ_API_KEY=
|
||||
OPEN_ROUTER_API_KEY=
|
||||
|
||||
# Reddit
|
||||
REDDIT_CLIENT_ID=
|
||||
REDDIT_CLIENT_SECRET=
|
||||
REDDIT_USERNAME=
|
||||
REDDIT_PASSWORD=
|
||||
|
||||
# Discord
|
||||
DISCORD_BOT_TOKEN=
|
||||
|
||||
# SMTP/Email
|
||||
SMTP_SERVER=
|
||||
SMTP_PORT=
|
||||
SMTP_USERNAME=
|
||||
SMTP_PASSWORD=
|
||||
|
||||
# D-ID
|
||||
DID_API_KEY=
|
||||
|
||||
# Open Weather Map
|
||||
OPENWEATHERMAP_API_KEY=
|
||||
|
||||
# SMTP
|
||||
SMTP_SERVER=
|
||||
SMTP_PORT=
|
||||
SMTP_USERNAME=
|
||||
SMTP_PASSWORD=
|
||||
|
||||
# Medium
|
||||
MEDIUM_API_KEY=
|
||||
MEDIUM_AUTHOR_ID=
|
||||
|
||||
# Google Maps
|
||||
GOOGLE_MAPS_API_KEY=
|
||||
|
||||
# Replicate
|
||||
REPLICATE_API_KEY=
|
||||
|
||||
# Ideogram
|
||||
IDEOGRAM_API_KEY=
|
||||
|
||||
# Fal
|
||||
FAL_API_KEY=
|
||||
|
||||
# Exa
|
||||
EXA_API_KEY=
|
||||
|
||||
# E2B
|
||||
E2B_API_KEY=
|
||||
|
||||
# Nvidia
|
||||
NVIDIA_API_KEY=
|
||||
|
||||
# Logging Configuration
|
||||
LOG_LEVEL=INFO
|
||||
ENABLE_CLOUD_LOGGING=false
|
||||
ENABLE_FILE_LOGGING=false
|
||||
# Use to manually set the log directory
|
||||
# LOG_DIR=./logs
|
||||
|
|
@ -1,11 +0,0 @@
|
|||
database.db
|
||||
database.db-journal
|
||||
dev.db
|
||||
dev.db-journal
|
||||
build/
|
||||
config.json
|
||||
secrets/*
|
||||
!secrets/.gitkeep
|
||||
|
||||
*.ignore.*
|
||||
*.ign.*
|
||||
|
|
@ -1,79 +0,0 @@
|
|||
FROM python:3.11.10-slim-bookworm AS builder
|
||||
|
||||
# Set environment variables
|
||||
ENV PYTHONDONTWRITEBYTECODE 1
|
||||
ENV PYTHONUNBUFFERED 1
|
||||
|
||||
WORKDIR /app
|
||||
|
||||
RUN echo 'Acquire::http::Pipeline-Depth 0;\nAcquire::http::No-Cache true;\nAcquire::BrokenProxy true;\n' > /etc/apt/apt.conf.d/99fixbadproxy
|
||||
|
||||
RUN apt-get update --allow-releaseinfo-change --fix-missing
|
||||
|
||||
# Install build dependencies
|
||||
RUN apt-get install -y build-essential
|
||||
RUN apt-get install -y libpq5
|
||||
RUN apt-get install -y libz-dev
|
||||
RUN apt-get install -y libssl-dev
|
||||
RUN apt-get install -y postgresql-client
|
||||
|
||||
ENV POETRY_HOME=/opt/poetry
|
||||
ENV POETRY_NO_INTERACTION=1
|
||||
ENV POETRY_VIRTUALENVS_CREATE=false
|
||||
ENV PATH=/opt/poetry/bin:$PATH
|
||||
|
||||
# Upgrade pip and setuptools to fix security vulnerabilities
|
||||
RUN pip3 install --upgrade pip setuptools
|
||||
|
||||
RUN pip3 install poetry
|
||||
|
||||
# Copy and install dependencies
|
||||
COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
|
||||
COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.toml /app/autogpt_platform/backend/
|
||||
WORKDIR /app/autogpt_platform/backend
|
||||
RUN poetry install --no-ansi --no-root
|
||||
|
||||
# Generate Prisma client
|
||||
COPY autogpt_platform/backend/schema.prisma ./
|
||||
RUN poetry run prisma generate
|
||||
|
||||
FROM python:3.11.10-slim-bookworm AS server_dependencies
|
||||
|
||||
WORKDIR /app
|
||||
|
||||
ENV POETRY_HOME=/opt/poetry \
|
||||
POETRY_NO_INTERACTION=1 \
|
||||
POETRY_VIRTUALENVS_CREATE=false
|
||||
ENV PATH=/opt/poetry/bin:$PATH
|
||||
|
||||
# Upgrade pip and setuptools to fix security vulnerabilities
|
||||
RUN pip3 install --upgrade pip setuptools
|
||||
|
||||
# Copy only necessary files from builder
|
||||
COPY --from=builder /app /app
|
||||
COPY --from=builder /usr/local/lib/python3.11 /usr/local/lib/python3.11
|
||||
COPY --from=builder /usr/local/bin /usr/local/bin
|
||||
# Copy Prisma binaries
|
||||
COPY --from=builder /root/.cache/prisma-python/binaries /root/.cache/prisma-python/binaries
|
||||
|
||||
|
||||
ENV PATH="/app/.venv/bin:$PATH"
|
||||
|
||||
RUN mkdir -p /app/autogpt_platform/autogpt_libs
|
||||
RUN mkdir -p /app/autogpt_platform/backend
|
||||
|
||||
COPY autogpt_platform/autogpt_libs /app/autogpt_platform/autogpt_libs
|
||||
|
||||
COPY autogpt_platform/backend/poetry.lock autogpt_platform/backend/pyproject.toml /app/autogpt_platform/backend/
|
||||
|
||||
WORKDIR /app/autogpt_platform/backend
|
||||
|
||||
FROM server_dependencies AS server
|
||||
|
||||
COPY autogpt_platform/backend /app/autogpt_platform/backend
|
||||
RUN poetry install --no-ansi --only-root
|
||||
|
||||
ENV DATABASE_URL=""
|
||||
ENV PORT=8000
|
||||
|
||||
CMD ["poetry", "run", "rest"]
|
||||
|
|
@ -1,75 +0,0 @@
|
|||
# AutoGPT Agent Server Advanced set up
|
||||
|
||||
This guide walks you through a dockerized set up, with an external DB (postgres)
|
||||
|
||||
## Setup
|
||||
|
||||
We use the Poetry to manage the dependencies. To set up the project, follow these steps inside this directory:
|
||||
|
||||
0. Install Poetry
|
||||
```sh
|
||||
pip install poetry
|
||||
```
|
||||
|
||||
1. Configure Poetry to use .venv in your project directory
|
||||
```sh
|
||||
poetry config virtualenvs.in-project true
|
||||
```
|
||||
|
||||
2. Enter the poetry shell
|
||||
|
||||
```sh
|
||||
poetry shell
|
||||
```
|
||||
|
||||
3. Install dependencies
|
||||
|
||||
```sh
|
||||
poetry install
|
||||
```
|
||||
|
||||
4. Copy .env.example to .env
|
||||
|
||||
```sh
|
||||
cp .env.example .env
|
||||
```
|
||||
|
||||
5. Generate the Prisma client
|
||||
|
||||
```sh
|
||||
poetry run prisma generate
|
||||
```
|
||||
|
||||
|
||||
> In case Prisma generates the client for the global Python installation instead of the virtual environment, the current mitigation is to just uninstall the global Prisma package:
|
||||
>
|
||||
> ```sh
|
||||
> pip uninstall prisma
|
||||
> ```
|
||||
>
|
||||
> Then run the generation again. The path *should* look something like this:
|
||||
> `<some path>/pypoetry/virtualenvs/backend-TQIRSwR6-py3.12/bin/prisma`
|
||||
|
||||
6. Run the postgres database from the /rnd folder
|
||||
|
||||
```sh
|
||||
cd autogpt_platform/
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
7. Run the migrations (from the backend folder)
|
||||
|
||||
```sh
|
||||
cd ../backend
|
||||
prisma migrate deploy
|
||||
```
|
||||
|
||||
## Running The Server
|
||||
|
||||
### Starting the server directly
|
||||
|
||||
Run the following command:
|
||||
|
||||
```sh
|
||||
poetry run app
|
||||
```
|
||||
|
|
@ -1,203 +0,0 @@
|
|||
# AutoGPT Agent Server
|
||||
|
||||
This is an initial project for creating the next generation of agent execution, which is an AutoGPT agent server.
|
||||
The agent server will enable the creation of composite multi-agent systems that utilize AutoGPT agents and other non-agent components as its primitives.
|
||||
|
||||
## Docs
|
||||
|
||||
You can access the docs for the [AutoGPT Agent Server here](https://docs.agpt.co/server/setup).
|
||||
|
||||
## Setup
|
||||
|
||||
We use the Poetry to manage the dependencies. To set up the project, follow these steps inside this directory:
|
||||
|
||||
0. Install Poetry
|
||||
```sh
|
||||
pip install poetry
|
||||
```
|
||||
|
||||
1. Configure Poetry to use .venv in your project directory
|
||||
```sh
|
||||
poetry config virtualenvs.in-project true
|
||||
```
|
||||
|
||||
2. Enter the poetry shell
|
||||
|
||||
```sh
|
||||
poetry shell
|
||||
```
|
||||
|
||||
3. Install dependencies
|
||||
|
||||
```sh
|
||||
poetry install
|
||||
```
|
||||
|
||||
4. Copy .env.example to .env
|
||||
|
||||
```sh
|
||||
cp .env.example .env
|
||||
```
|
||||
|
||||
5. Generate the Prisma client
|
||||
|
||||
```sh
|
||||
poetry run prisma generate
|
||||
```
|
||||
|
||||
|
||||
> In case Prisma generates the client for the global Python installation instead of the virtual environment, the current mitigation is to just uninstall the global Prisma package:
|
||||
>
|
||||
> ```sh
|
||||
> pip uninstall prisma
|
||||
> ```
|
||||
>
|
||||
> Then run the generation again. The path *should* look something like this:
|
||||
> `<some path>/pypoetry/virtualenvs/backend-TQIRSwR6-py3.12/bin/prisma`
|
||||
|
||||
6. Migrate the database. Be careful because this deletes current data in the database.
|
||||
|
||||
```sh
|
||||
docker compose up db -d
|
||||
poetry run prisma migrate deploy
|
||||
```
|
||||
|
||||
## Running The Server
|
||||
|
||||
### Starting the server without Docker
|
||||
|
||||
Run the following command to run database in docker but the application locally:
|
||||
|
||||
```sh
|
||||
docker compose --profile local up deps --build --detach
|
||||
poetry run app
|
||||
```
|
||||
|
||||
### Starting the server with Docker
|
||||
|
||||
Run the following command to build the dockerfiles:
|
||||
|
||||
```sh
|
||||
docker compose build
|
||||
```
|
||||
|
||||
Run the following command to run the app:
|
||||
|
||||
```sh
|
||||
docker compose up
|
||||
```
|
||||
|
||||
Run the following to automatically rebuild when code changes, in another terminal:
|
||||
|
||||
```sh
|
||||
docker compose watch
|
||||
```
|
||||
|
||||
Run the following command to shut down:
|
||||
|
||||
```sh
|
||||
docker compose down
|
||||
```
|
||||
|
||||
If you run into issues with dangling orphans, try:
|
||||
|
||||
```sh
|
||||
docker compose down --volumes --remove-orphans && docker-compose up --force-recreate --renew-anon-volumes --remove-orphans
|
||||
```
|
||||
|
||||
## Testing
|
||||
|
||||
To run the tests:
|
||||
|
||||
```sh
|
||||
poetry run test
|
||||
```
|
||||
|
||||
## Development
|
||||
|
||||
### Formatting & Linting
|
||||
Auto formatter and linter are set up in the project. To run them:
|
||||
|
||||
Install:
|
||||
```sh
|
||||
poetry install --with dev
|
||||
```
|
||||
|
||||
Format the code:
|
||||
```sh
|
||||
poetry run format
|
||||
```
|
||||
|
||||
Lint the code:
|
||||
```sh
|
||||
poetry run lint
|
||||
```
|
||||
|
||||
## Project Outline
|
||||
|
||||
The current project has the following main modules:
|
||||
|
||||
### **blocks**
|
||||
|
||||
This module stores all the Agent Blocks, which are reusable components to build a graph that represents the agent's behavior.
|
||||
|
||||
### **data**
|
||||
|
||||
This module stores the logical model that is persisted in the database.
|
||||
It abstracts the database operations into functions that can be called by the service layer.
|
||||
Any code that interacts with Prisma objects or the database should reside in this module.
|
||||
The main models are:
|
||||
* `block`: anything related to the block used in the graph
|
||||
* `execution`: anything related to the execution graph execution
|
||||
* `graph`: anything related to the graph, node, and its relations
|
||||
|
||||
### **execution**
|
||||
|
||||
This module stores the business logic of executing the graph.
|
||||
It currently has the following main modules:
|
||||
* `manager`: A service that consumes the queue of the graph execution and executes the graph. It contains both pieces of logic.
|
||||
* `scheduler`: A service that triggers scheduled graph execution based on a cron expression. It pushes an execution request to the manager.
|
||||
|
||||
### **server**
|
||||
|
||||
This module stores the logic for the server API.
|
||||
It contains all the logic used for the API that allows the client to create, execute, and monitor the graph and its execution.
|
||||
This API service interacts with other services like those defined in `manager` and `scheduler`.
|
||||
|
||||
### **utils**
|
||||
|
||||
This module stores utility functions that are used across the project.
|
||||
Currently, it has two main modules:
|
||||
* `process`: A module that contains the logic to spawn a new process.
|
||||
* `service`: A module that serves as a parent class for all the services in the project.
|
||||
|
||||
## Service Communication
|
||||
|
||||
Currently, there are only 3 active services:
|
||||
|
||||
- AgentServer (the API, defined in `server.py`)
|
||||
- ExecutionManager (the executor, defined in `manager.py`)
|
||||
- ExecutionScheduler (the scheduler, defined in `scheduler.py`)
|
||||
|
||||
The services run in independent Python processes and communicate through an IPC.
|
||||
A communication layer (`service.py`) is created to decouple the communication library from the implementation.
|
||||
|
||||
Currently, the IPC is done using Pyro5 and abstracted in a way that allows a function decorated with `@expose` to be called from a different process.
|
||||
|
||||
|
||||
By default the daemons run on the following ports:
|
||||
|
||||
Execution Manager Daemon: 8002
|
||||
Execution Scheduler Daemon: 8003
|
||||
Rest Server Daemon: 8004
|
||||
|
||||
## Adding a New Agent Block
|
||||
|
||||
To add a new agent block, you need to create a new class that inherits from `Block` and provides the following information:
|
||||
* All the block code should live in the `blocks` (`backend.blocks`) module.
|
||||
* `input_schema`: the schema of the input data, represented by a Pydantic object.
|
||||
* `output_schema`: the schema of the output data, represented by a Pydantic object.
|
||||
* `run` method: the main logic of the block.
|
||||
* `test_input` & `test_output`: the sample input and output data for the block, which will be used to auto-test the block.
|
||||
* You can mock the functions declared in the block using the `test_mock` field for your unit tests.
|
||||
* Once you finish creating the block, you can test it by running `poetry run pytest -s test/block/test_block.py`.
|
||||
|
|
@ -1,42 +0,0 @@
|
|||
from typing import TYPE_CHECKING
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from backend.util.process import AppProcess
|
||||
|
||||
|
||||
def run_processes(*processes: "AppProcess", **kwargs):
|
||||
"""
|
||||
Execute all processes in the app. The last process is run in the foreground.
|
||||
"""
|
||||
try:
|
||||
for process in processes[:-1]:
|
||||
process.start(background=True, **kwargs)
|
||||
|
||||
# Run the last process in the foreground
|
||||
processes[-1].start(background=False, **kwargs)
|
||||
finally:
|
||||
for process in processes:
|
||||
process.stop()
|
||||
|
||||
|
||||
def main(**kwargs):
|
||||
"""
|
||||
Run all the processes required for the AutoGPT-server (REST and WebSocket APIs).
|
||||
"""
|
||||
|
||||
from backend.executor import DatabaseManager, ExecutionManager, ExecutionScheduler
|
||||
from backend.server.rest_api import AgentServer
|
||||
from backend.server.ws_api import WebsocketServer
|
||||
|
||||
run_processes(
|
||||
DatabaseManager(),
|
||||
ExecutionManager(),
|
||||
ExecutionScheduler(),
|
||||
WebsocketServer(),
|
||||
AgentServer(),
|
||||
**kwargs,
|
||||
)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
|
@ -1,89 +0,0 @@
|
|||
import importlib
|
||||
import os
|
||||
import re
|
||||
from pathlib import Path
|
||||
from typing import Type, TypeVar
|
||||
|
||||
from backend.data.block import Block
|
||||
|
||||
# Dynamically load all modules under backend.blocks
|
||||
AVAILABLE_MODULES = []
|
||||
current_dir = Path(__file__).parent
|
||||
modules = [
|
||||
str(f.relative_to(current_dir))[:-3].replace(os.path.sep, ".")
|
||||
for f in current_dir.rglob("*.py")
|
||||
if f.is_file() and f.name != "__init__.py"
|
||||
]
|
||||
for module in modules:
|
||||
if not re.match("^[a-z0-9_.]+$", module):
|
||||
raise ValueError(
|
||||
f"Block module {module} error: module name must be lowercase, "
|
||||
"and contain only alphanumeric characters and underscores."
|
||||
)
|
||||
|
||||
importlib.import_module(f".{module}", package=__name__)
|
||||
AVAILABLE_MODULES.append(module)
|
||||
|
||||
# Load all Block instances from the available modules
|
||||
AVAILABLE_BLOCKS: dict[str, Type[Block]] = {}
|
||||
|
||||
|
||||
T = TypeVar("T")
|
||||
|
||||
|
||||
def all_subclasses(cls: Type[T]) -> list[Type[T]]:
|
||||
subclasses = cls.__subclasses__()
|
||||
for subclass in subclasses:
|
||||
subclasses += all_subclasses(subclass)
|
||||
return subclasses
|
||||
|
||||
|
||||
for block_cls in all_subclasses(Block):
|
||||
name = block_cls.__name__
|
||||
|
||||
if block_cls.__name__.endswith("Base"):
|
||||
continue
|
||||
|
||||
if not block_cls.__name__.endswith("Block"):
|
||||
raise ValueError(
|
||||
f"Block class {block_cls.__name__} does not end with 'Block', If you are creating an abstract class, please name the class with 'Base' at the end"
|
||||
)
|
||||
|
||||
block = block_cls.create()
|
||||
|
||||
if not isinstance(block.id, str) or len(block.id) != 36:
|
||||
raise ValueError(f"Block ID {block.name} error: {block.id} is not a valid UUID")
|
||||
|
||||
if block.id in AVAILABLE_BLOCKS:
|
||||
raise ValueError(f"Block ID {block.name} error: {block.id} is already in use")
|
||||
|
||||
input_schema = block.input_schema.model_fields
|
||||
output_schema = block.output_schema.model_fields
|
||||
|
||||
# Make sure `error` field is a string in the output schema
|
||||
if "error" in output_schema and output_schema["error"].annotation is not str:
|
||||
raise ValueError(
|
||||
f"{block.name} `error` field in output_schema must be a string"
|
||||
)
|
||||
|
||||
# Make sure all fields in input_schema and output_schema are annotated and has a value
|
||||
for field_name, field in [*input_schema.items(), *output_schema.items()]:
|
||||
if field.annotation is None:
|
||||
raise ValueError(
|
||||
f"{block.name} has a field {field_name} that is not annotated"
|
||||
)
|
||||
if field.json_schema_extra is None:
|
||||
raise ValueError(
|
||||
f"{block.name} has a field {field_name} not defined as SchemaField"
|
||||
)
|
||||
|
||||
for field in block.input_schema.model_fields.values():
|
||||
if field.annotation is bool and field.default not in (True, False):
|
||||
raise ValueError(f"{block.name} has a boolean field with no default value")
|
||||
|
||||
if block.disabled:
|
||||
continue
|
||||
|
||||
AVAILABLE_BLOCKS[block.id] = block_cls
|
||||
|
||||
__all__ = ["AVAILABLE_MODULES", "AVAILABLE_BLOCKS"]
|
||||
|
|
@ -1,104 +0,0 @@
|
|||
import logging
|
||||
|
||||
from autogpt_libs.utils.cache import thread_cached
|
||||
|
||||
from backend.data.block import (
|
||||
Block,
|
||||
BlockCategory,
|
||||
BlockInput,
|
||||
BlockOutput,
|
||||
BlockSchema,
|
||||
BlockType,
|
||||
get_block,
|
||||
)
|
||||
from backend.data.execution import ExecutionStatus
|
||||
from backend.data.model import SchemaField
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
@thread_cached
|
||||
def get_executor_manager_client():
|
||||
from backend.executor import ExecutionManager
|
||||
from backend.util.service import get_service_client
|
||||
|
||||
return get_service_client(ExecutionManager)
|
||||
|
||||
|
||||
@thread_cached
|
||||
def get_event_bus():
|
||||
from backend.data.execution import RedisExecutionEventBus
|
||||
|
||||
return RedisExecutionEventBus()
|
||||
|
||||
|
||||
class AgentExecutorBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
user_id: str = SchemaField(description="User ID")
|
||||
graph_id: str = SchemaField(description="Graph ID")
|
||||
graph_version: int = SchemaField(description="Graph Version")
|
||||
|
||||
data: BlockInput = SchemaField(description="Input data for the graph")
|
||||
input_schema: dict = SchemaField(description="Input schema for the graph")
|
||||
output_schema: dict = SchemaField(description="Output schema for the graph")
|
||||
|
||||
class Output(BlockSchema):
|
||||
pass
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="e189baac-8c20-45a1-94a7-55177ea42565",
|
||||
description="Executes an existing agent inside your agent",
|
||||
input_schema=AgentExecutorBlock.Input,
|
||||
output_schema=AgentExecutorBlock.Output,
|
||||
block_type=BlockType.AGENT,
|
||||
categories={BlockCategory.AGENT},
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
executor_manager = get_executor_manager_client()
|
||||
event_bus = get_event_bus()
|
||||
|
||||
graph_exec = executor_manager.add_execution(
|
||||
graph_id=input_data.graph_id,
|
||||
graph_version=input_data.graph_version,
|
||||
user_id=input_data.user_id,
|
||||
data=input_data.data,
|
||||
)
|
||||
log_id = f"Graph #{input_data.graph_id}-V{input_data.graph_version}, exec-id: {graph_exec.graph_exec_id}"
|
||||
logger.info(f"Starting execution of {log_id}")
|
||||
|
||||
for event in event_bus.listen(
|
||||
graph_id=graph_exec.graph_id, graph_exec_id=graph_exec.graph_exec_id
|
||||
):
|
||||
logger.info(
|
||||
f"Execution {log_id} produced input {event.input_data} output {event.output_data}"
|
||||
)
|
||||
|
||||
if not event.node_id:
|
||||
if event.status in [
|
||||
ExecutionStatus.COMPLETED,
|
||||
ExecutionStatus.TERMINATED,
|
||||
ExecutionStatus.FAILED,
|
||||
]:
|
||||
logger.info(f"Execution {log_id} ended with status {event.status}")
|
||||
break
|
||||
else:
|
||||
continue
|
||||
|
||||
if not event.block_id:
|
||||
logger.warning(f"{log_id} received event without block_id {event}")
|
||||
continue
|
||||
|
||||
block = get_block(event.block_id)
|
||||
if not block or block.block_type != BlockType.OUTPUT:
|
||||
continue
|
||||
|
||||
output_name = event.input_data.get("name")
|
||||
if not output_name:
|
||||
logger.warning(f"{log_id} produced an output with no name {event}")
|
||||
continue
|
||||
|
||||
for output_data in event.output_data.get("output", []):
|
||||
logger.info(f"Execution {log_id} produced {output_name}: {output_data}")
|
||||
yield output_name, output_data
|
||||
|
|
@ -1,325 +0,0 @@
|
|||
from enum import Enum
|
||||
from typing import Literal
|
||||
|
||||
import replicate
|
||||
from pydantic import SecretStr
|
||||
from replicate.helpers import FileOutput
|
||||
|
||||
from backend.data.block import Block, BlockCategory, BlockSchema
|
||||
from backend.data.model import (
|
||||
APIKeyCredentials,
|
||||
CredentialsField,
|
||||
CredentialsMetaInput,
|
||||
SchemaField,
|
||||
)
|
||||
from backend.integrations.providers import ProviderName
|
||||
|
||||
|
||||
class ImageSize(str, Enum):
|
||||
"""
|
||||
Semantic sizes that map reliably across all models
|
||||
"""
|
||||
|
||||
SQUARE = "square" # For profile pictures, icons, etc.
|
||||
LANDSCAPE = "landscape" # For traditional photos, scenes
|
||||
PORTRAIT = "portrait" # For vertical photos, portraits
|
||||
WIDE = "wide" # For cinematic, desktop wallpapers
|
||||
TALL = "tall" # For mobile wallpapers, stories
|
||||
|
||||
|
||||
# Mapping semantic sizes to model-specific formats
|
||||
SIZE_TO_SD_RATIO = {
|
||||
ImageSize.SQUARE: "1:1",
|
||||
ImageSize.LANDSCAPE: "4:3",
|
||||
ImageSize.PORTRAIT: "3:4",
|
||||
ImageSize.WIDE: "16:9",
|
||||
ImageSize.TALL: "9:16",
|
||||
}
|
||||
|
||||
SIZE_TO_FLUX_RATIO = {
|
||||
ImageSize.SQUARE: "1:1",
|
||||
ImageSize.LANDSCAPE: "4:3",
|
||||
ImageSize.PORTRAIT: "3:4",
|
||||
ImageSize.WIDE: "16:9",
|
||||
ImageSize.TALL: "9:16",
|
||||
}
|
||||
|
||||
SIZE_TO_FLUX_DIMENSIONS = {
|
||||
ImageSize.SQUARE: (1024, 1024),
|
||||
ImageSize.LANDSCAPE: (1365, 1024),
|
||||
ImageSize.PORTRAIT: (1024, 1365),
|
||||
ImageSize.WIDE: (1440, 810), # Adjusted to maintain 16:9 within 1440 limit
|
||||
ImageSize.TALL: (810, 1440), # Adjusted to maintain 9:16 within 1440 limit
|
||||
}
|
||||
|
||||
SIZE_TO_RECRAFT_DIMENSIONS = {
|
||||
ImageSize.SQUARE: "1024x1024",
|
||||
ImageSize.LANDSCAPE: "1365x1024",
|
||||
ImageSize.PORTRAIT: "1024x1365",
|
||||
ImageSize.WIDE: "1536x1024",
|
||||
ImageSize.TALL: "1024x1536",
|
||||
}
|
||||
|
||||
|
||||
class ImageStyle(str, Enum):
|
||||
"""
|
||||
Complete set of supported styles
|
||||
"""
|
||||
|
||||
ANY = "any"
|
||||
# Realistic image styles
|
||||
REALISTIC = "realistic_image"
|
||||
REALISTIC_BW = "realistic_image/b_and_w"
|
||||
REALISTIC_HDR = "realistic_image/hdr"
|
||||
REALISTIC_NATURAL = "realistic_image/natural_light"
|
||||
REALISTIC_STUDIO = "realistic_image/studio_portrait"
|
||||
REALISTIC_ENTERPRISE = "realistic_image/enterprise"
|
||||
REALISTIC_HARD_FLASH = "realistic_image/hard_flash"
|
||||
REALISTIC_MOTION_BLUR = "realistic_image/motion_blur"
|
||||
# Digital illustration styles
|
||||
DIGITAL_ART = "digital_illustration"
|
||||
PIXEL_ART = "digital_illustration/pixel_art"
|
||||
HAND_DRAWN = "digital_illustration/hand_drawn"
|
||||
GRAIN = "digital_illustration/grain"
|
||||
SKETCH = "digital_illustration/infantile_sketch"
|
||||
POSTER = "digital_illustration/2d_art_poster"
|
||||
POSTER_2 = "digital_illustration/2d_art_poster_2"
|
||||
HANDMADE_3D = "digital_illustration/handmade_3d"
|
||||
HAND_DRAWN_OUTLINE = "digital_illustration/hand_drawn_outline"
|
||||
ENGRAVING_COLOR = "digital_illustration/engraving_color"
|
||||
|
||||
|
||||
class ImageGenModel(str, Enum):
|
||||
"""
|
||||
Available model providers
|
||||
"""
|
||||
|
||||
FLUX = "Flux 1.1 Pro"
|
||||
FLUX_ULTRA = "Flux 1.1 Pro Ultra"
|
||||
RECRAFT = "Recraft v3"
|
||||
SD3_5 = "Stable Diffusion 3.5 Medium"
|
||||
|
||||
|
||||
class AIImageGeneratorBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
credentials: CredentialsMetaInput[
|
||||
Literal[ProviderName.REPLICATE], Literal["api_key"]
|
||||
] = CredentialsField(
|
||||
description="Enter your Replicate API key to access the image generation API. You can obtain an API key from https://replicate.com/account/api-tokens.",
|
||||
)
|
||||
prompt: str = SchemaField(
|
||||
description="Text prompt for image generation",
|
||||
placeholder="e.g., 'A red panda using a laptop in a snowy forest'",
|
||||
title="Prompt",
|
||||
)
|
||||
model: ImageGenModel = SchemaField(
|
||||
description="The AI model to use for image generation",
|
||||
default=ImageGenModel.SD3_5,
|
||||
title="Model",
|
||||
)
|
||||
size: ImageSize = SchemaField(
|
||||
description=(
|
||||
"Format of the generated image:\n"
|
||||
"- Square: Perfect for profile pictures, icons\n"
|
||||
"- Landscape: Traditional photo format\n"
|
||||
"- Portrait: Vertical photos, portraits\n"
|
||||
"- Wide: Cinematic format, desktop wallpapers\n"
|
||||
"- Tall: Mobile wallpapers, social media stories"
|
||||
),
|
||||
default=ImageSize.SQUARE,
|
||||
title="Image Format",
|
||||
)
|
||||
style: ImageStyle = SchemaField(
|
||||
description="Visual style for the generated image",
|
||||
default=ImageStyle.ANY,
|
||||
title="Image Style",
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
image_url: str = SchemaField(description="URL of the generated image")
|
||||
error: str = SchemaField(description="Error message if generation failed")
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="ed1ae7a0-b770-4089-b520-1f0005fad19a",
|
||||
description="Generate images using various AI models through a unified interface",
|
||||
categories={BlockCategory.AI},
|
||||
input_schema=AIImageGeneratorBlock.Input,
|
||||
output_schema=AIImageGeneratorBlock.Output,
|
||||
test_input={
|
||||
"credentials": TEST_CREDENTIALS_INPUT,
|
||||
"prompt": "An octopus using a laptop in a snowy forest with 'AutoGPT' clearly visible on the screen",
|
||||
"model": ImageGenModel.RECRAFT,
|
||||
"size": ImageSize.SQUARE,
|
||||
"style": ImageStyle.REALISTIC,
|
||||
},
|
||||
test_credentials=TEST_CREDENTIALS,
|
||||
test_output=[
|
||||
(
|
||||
"image_url",
|
||||
"https://replicate.delivery/generated-image.webp",
|
||||
),
|
||||
],
|
||||
test_mock={
|
||||
"_run_client": lambda *args, **kwargs: "https://replicate.delivery/generated-image.webp"
|
||||
},
|
||||
)
|
||||
|
||||
def _run_client(
|
||||
self, credentials: APIKeyCredentials, model_name: str, input_params: dict
|
||||
):
|
||||
try:
|
||||
# Initialize Replicate client
|
||||
client = replicate.Client(api_token=credentials.api_key.get_secret_value())
|
||||
|
||||
# Run the model with input parameters
|
||||
output = client.run(model_name, input=input_params, wait=False)
|
||||
|
||||
# Process output
|
||||
if isinstance(output, list) and len(output) > 0:
|
||||
if isinstance(output[0], FileOutput):
|
||||
result_url = output[0].url
|
||||
else:
|
||||
result_url = output[0]
|
||||
elif isinstance(output, FileOutput):
|
||||
result_url = output.url
|
||||
elif isinstance(output, str):
|
||||
result_url = output
|
||||
else:
|
||||
result_url = None
|
||||
|
||||
return result_url
|
||||
|
||||
except TypeError as e:
|
||||
raise TypeError(f"Error during model execution: {e}")
|
||||
except Exception as e:
|
||||
raise RuntimeError(f"Unexpected error during model execution: {e}")
|
||||
|
||||
def generate_image(self, input_data: Input, credentials: APIKeyCredentials):
|
||||
try:
|
||||
# Handle style-based prompt modification for models without native style support
|
||||
modified_prompt = input_data.prompt
|
||||
if input_data.model not in [ImageGenModel.RECRAFT]:
|
||||
style_prefix = self._style_to_prompt_prefix(input_data.style)
|
||||
modified_prompt = f"{style_prefix} {modified_prompt}".strip()
|
||||
|
||||
if input_data.model == ImageGenModel.SD3_5:
|
||||
# Use Stable Diffusion 3.5 with aspect ratio
|
||||
input_params = {
|
||||
"prompt": modified_prompt,
|
||||
"aspect_ratio": SIZE_TO_SD_RATIO[input_data.size],
|
||||
"output_format": "webp",
|
||||
"output_quality": 90,
|
||||
"steps": 40,
|
||||
"cfg_scale": 7.0,
|
||||
}
|
||||
output = self._run_client(
|
||||
credentials,
|
||||
"stability-ai/stable-diffusion-3.5-medium",
|
||||
input_params,
|
||||
)
|
||||
return output
|
||||
|
||||
elif input_data.model == ImageGenModel.FLUX:
|
||||
# Use Flux-specific dimensions with 'jpg' format to avoid ReplicateError
|
||||
width, height = SIZE_TO_FLUX_DIMENSIONS[input_data.size]
|
||||
input_params = {
|
||||
"prompt": modified_prompt,
|
||||
"width": width,
|
||||
"height": height,
|
||||
"aspect_ratio": SIZE_TO_FLUX_RATIO[input_data.size],
|
||||
"output_format": "jpg", # Set to jpg for Flux models
|
||||
"output_quality": 90,
|
||||
}
|
||||
output = self._run_client(
|
||||
credentials, "black-forest-labs/flux-1.1-pro", input_params
|
||||
)
|
||||
return output
|
||||
|
||||
elif input_data.model == ImageGenModel.FLUX_ULTRA:
|
||||
width, height = SIZE_TO_FLUX_DIMENSIONS[input_data.size]
|
||||
input_params = {
|
||||
"prompt": modified_prompt,
|
||||
"width": width,
|
||||
"height": height,
|
||||
"aspect_ratio": SIZE_TO_FLUX_RATIO[input_data.size],
|
||||
"output_format": "jpg",
|
||||
"output_quality": 90,
|
||||
}
|
||||
output = self._run_client(
|
||||
credentials, "black-forest-labs/flux-1.1-pro-ultra", input_params
|
||||
)
|
||||
return output
|
||||
|
||||
elif input_data.model == ImageGenModel.RECRAFT:
|
||||
input_params = {
|
||||
"prompt": input_data.prompt,
|
||||
"size": SIZE_TO_RECRAFT_DIMENSIONS[input_data.size],
|
||||
"style": input_data.style.value,
|
||||
}
|
||||
output = self._run_client(
|
||||
credentials, "recraft-ai/recraft-v3", input_params
|
||||
)
|
||||
return output
|
||||
|
||||
except Exception as e:
|
||||
raise RuntimeError(f"Failed to generate image: {str(e)}")
|
||||
|
||||
def _style_to_prompt_prefix(self, style: ImageStyle) -> str:
|
||||
"""
|
||||
Convert a style enum to a prompt prefix for models without native style support.
|
||||
"""
|
||||
if style == ImageStyle.ANY:
|
||||
return ""
|
||||
|
||||
style_map = {
|
||||
ImageStyle.REALISTIC: "photorealistic",
|
||||
ImageStyle.REALISTIC_BW: "black and white photograph",
|
||||
ImageStyle.REALISTIC_HDR: "HDR photograph",
|
||||
ImageStyle.REALISTIC_NATURAL: "natural light photograph",
|
||||
ImageStyle.REALISTIC_STUDIO: "studio portrait photograph",
|
||||
ImageStyle.REALISTIC_ENTERPRISE: "enterprise photograph",
|
||||
ImageStyle.REALISTIC_HARD_FLASH: "hard flash photograph",
|
||||
ImageStyle.REALISTIC_MOTION_BLUR: "motion blur photograph",
|
||||
ImageStyle.DIGITAL_ART: "digital art",
|
||||
ImageStyle.PIXEL_ART: "pixel art",
|
||||
ImageStyle.HAND_DRAWN: "hand drawn illustration",
|
||||
ImageStyle.GRAIN: "grainy digital illustration",
|
||||
ImageStyle.SKETCH: "sketchy illustration",
|
||||
ImageStyle.POSTER: "2D art poster",
|
||||
ImageStyle.POSTER_2: "alternate 2D art poster",
|
||||
ImageStyle.HANDMADE_3D: "handmade 3D illustration",
|
||||
ImageStyle.HAND_DRAWN_OUTLINE: "hand drawn outline illustration",
|
||||
ImageStyle.ENGRAVING_COLOR: "color engraving illustration",
|
||||
}
|
||||
|
||||
style_text = style_map.get(style, "")
|
||||
return f"{style_text} of" if style_text else ""
|
||||
|
||||
def run(self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs):
|
||||
try:
|
||||
url = self.generate_image(input_data, credentials)
|
||||
if url:
|
||||
yield "image_url", url
|
||||
else:
|
||||
yield "error", "Image generation returned an empty result."
|
||||
except Exception as e:
|
||||
# Capture and return only the message of the exception, avoiding serialization of non-serializable objects
|
||||
yield "error", str(e)
|
||||
|
||||
|
||||
# Test credentials stay the same
|
||||
TEST_CREDENTIALS = APIKeyCredentials(
|
||||
id="01234567-89ab-cdef-0123-456789abcdef",
|
||||
provider="replicate",
|
||||
api_key=SecretStr("mock-replicate-api-key"),
|
||||
title="Mock Replicate API key",
|
||||
expires_at=None,
|
||||
)
|
||||
|
||||
TEST_CREDENTIALS_INPUT = {
|
||||
"provider": TEST_CREDENTIALS.provider,
|
||||
"id": TEST_CREDENTIALS.id,
|
||||
"type": TEST_CREDENTIALS.type,
|
||||
"title": TEST_CREDENTIALS.title,
|
||||
}
|
||||
|
|
@ -1,227 +0,0 @@
|
|||
import logging
|
||||
import time
|
||||
from enum import Enum
|
||||
from typing import Literal
|
||||
|
||||
import replicate
|
||||
from pydantic import SecretStr
|
||||
|
||||
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
|
||||
from backend.data.model import (
|
||||
APIKeyCredentials,
|
||||
CredentialsField,
|
||||
CredentialsMetaInput,
|
||||
SchemaField,
|
||||
)
|
||||
from backend.integrations.providers import ProviderName
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
TEST_CREDENTIALS = APIKeyCredentials(
|
||||
id="01234567-89ab-cdef-0123-456789abcdef",
|
||||
provider="replicate",
|
||||
api_key=SecretStr("mock-replicate-api-key"),
|
||||
title="Mock Replicate API key",
|
||||
expires_at=None,
|
||||
)
|
||||
TEST_CREDENTIALS_INPUT = {
|
||||
"provider": TEST_CREDENTIALS.provider,
|
||||
"id": TEST_CREDENTIALS.id,
|
||||
"type": TEST_CREDENTIALS.type,
|
||||
"title": TEST_CREDENTIALS.type,
|
||||
}
|
||||
|
||||
|
||||
# Model version enum
|
||||
class MusicGenModelVersion(str, Enum):
|
||||
STEREO_LARGE = "stereo-large"
|
||||
MELODY_LARGE = "melody-large"
|
||||
LARGE = "large"
|
||||
|
||||
|
||||
# Audio format enum
|
||||
class AudioFormat(str, Enum):
|
||||
WAV = "wav"
|
||||
MP3 = "mp3"
|
||||
|
||||
|
||||
# Normalization strategy enum
|
||||
class NormalizationStrategy(str, Enum):
|
||||
LOUDNESS = "loudness"
|
||||
CLIP = "clip"
|
||||
PEAK = "peak"
|
||||
RMS = "rms"
|
||||
|
||||
|
||||
class AIMusicGeneratorBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
credentials: CredentialsMetaInput[
|
||||
Literal[ProviderName.REPLICATE], Literal["api_key"]
|
||||
] = CredentialsField(
|
||||
description="The Replicate integration can be used with "
|
||||
"any API key with sufficient permissions for the blocks it is used on.",
|
||||
)
|
||||
prompt: str = SchemaField(
|
||||
description="A description of the music you want to generate",
|
||||
placeholder="e.g., 'An upbeat electronic dance track with heavy bass'",
|
||||
title="Prompt",
|
||||
)
|
||||
music_gen_model_version: MusicGenModelVersion = SchemaField(
|
||||
description="Model to use for generation",
|
||||
default=MusicGenModelVersion.STEREO_LARGE,
|
||||
title="Model Version",
|
||||
)
|
||||
duration: int = SchemaField(
|
||||
description="Duration of the generated audio in seconds",
|
||||
default=8,
|
||||
title="Duration",
|
||||
)
|
||||
temperature: float = SchemaField(
|
||||
description="Controls the 'conservativeness' of the sampling process. Higher temperature means more diversity",
|
||||
default=1.0,
|
||||
title="Temperature",
|
||||
)
|
||||
top_k: int = SchemaField(
|
||||
description="Reduces sampling to the k most likely tokens",
|
||||
default=250,
|
||||
title="Top K",
|
||||
)
|
||||
top_p: float = SchemaField(
|
||||
description="Reduces sampling to tokens with cumulative probability of p. When set to 0 (default), top_k sampling is used",
|
||||
default=0.0,
|
||||
title="Top P",
|
||||
)
|
||||
classifier_free_guidance: int = SchemaField(
|
||||
description="Increases the influence of inputs on the output. Higher values produce lower-variance outputs that adhere more closely to inputs",
|
||||
default=3,
|
||||
title="Classifier Free Guidance",
|
||||
)
|
||||
output_format: AudioFormat = SchemaField(
|
||||
description="Output format for generated audio",
|
||||
default=AudioFormat.WAV,
|
||||
title="Output Format",
|
||||
)
|
||||
normalization_strategy: NormalizationStrategy = SchemaField(
|
||||
description="Strategy for normalizing audio",
|
||||
default=NormalizationStrategy.LOUDNESS,
|
||||
title="Normalization Strategy",
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
result: str = SchemaField(description="URL of the generated audio file")
|
||||
error: str = SchemaField(description="Error message if the model run failed")
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="44f6c8ad-d75c-4ae1-8209-aad1c0326928",
|
||||
description="This block generates music using Meta's MusicGen model on Replicate.",
|
||||
categories={BlockCategory.AI},
|
||||
input_schema=AIMusicGeneratorBlock.Input,
|
||||
output_schema=AIMusicGeneratorBlock.Output,
|
||||
test_input={
|
||||
"credentials": TEST_CREDENTIALS_INPUT,
|
||||
"prompt": "An upbeat electronic dance track with heavy bass",
|
||||
"music_gen_model_version": MusicGenModelVersion.STEREO_LARGE,
|
||||
"duration": 8,
|
||||
"temperature": 1.0,
|
||||
"top_k": 250,
|
||||
"top_p": 0.0,
|
||||
"classifier_free_guidance": 3,
|
||||
"output_format": AudioFormat.WAV,
|
||||
"normalization_strategy": NormalizationStrategy.LOUDNESS,
|
||||
},
|
||||
test_output=[
|
||||
(
|
||||
"result",
|
||||
"https://replicate.com/output/generated-audio-url.wav",
|
||||
),
|
||||
],
|
||||
test_mock={
|
||||
"run_model": lambda api_key, music_gen_model_version, prompt, duration, temperature, top_k, top_p, classifier_free_guidance, output_format, normalization_strategy: "https://replicate.com/output/generated-audio-url.wav",
|
||||
},
|
||||
test_credentials=TEST_CREDENTIALS,
|
||||
)
|
||||
|
||||
def run(
|
||||
self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
|
||||
) -> BlockOutput:
|
||||
max_retries = 3
|
||||
retry_delay = 5 # seconds
|
||||
last_error = None
|
||||
|
||||
for attempt in range(max_retries):
|
||||
try:
|
||||
logger.debug(
|
||||
f"[AIMusicGeneratorBlock] - Running model (attempt {attempt + 1})"
|
||||
)
|
||||
result = self.run_model(
|
||||
api_key=credentials.api_key,
|
||||
music_gen_model_version=input_data.music_gen_model_version,
|
||||
prompt=input_data.prompt,
|
||||
duration=input_data.duration,
|
||||
temperature=input_data.temperature,
|
||||
top_k=input_data.top_k,
|
||||
top_p=input_data.top_p,
|
||||
classifier_free_guidance=input_data.classifier_free_guidance,
|
||||
output_format=input_data.output_format,
|
||||
normalization_strategy=input_data.normalization_strategy,
|
||||
)
|
||||
if result and result != "No output received":
|
||||
yield "result", result
|
||||
return
|
||||
else:
|
||||
last_error = "Model returned empty or invalid response"
|
||||
raise ValueError(last_error)
|
||||
except Exception as e:
|
||||
last_error = f"Unexpected error: {str(e)}"
|
||||
logger.error(f"[AIMusicGeneratorBlock] - Error: {last_error}")
|
||||
if attempt < max_retries - 1:
|
||||
time.sleep(retry_delay)
|
||||
continue
|
||||
|
||||
# If we've exhausted all retries, yield the error
|
||||
yield "error", f"Failed after {max_retries} attempts. Last error: {last_error}"
|
||||
|
||||
def run_model(
|
||||
self,
|
||||
api_key: SecretStr,
|
||||
music_gen_model_version: MusicGenModelVersion,
|
||||
prompt: str,
|
||||
duration: int,
|
||||
temperature: float,
|
||||
top_k: int,
|
||||
top_p: float,
|
||||
classifier_free_guidance: int,
|
||||
output_format: AudioFormat,
|
||||
normalization_strategy: NormalizationStrategy,
|
||||
):
|
||||
# Initialize Replicate client with the API key
|
||||
client = replicate.Client(api_token=api_key.get_secret_value())
|
||||
|
||||
# Run the model with parameters
|
||||
output = client.run(
|
||||
"meta/musicgen:671ac645ce5e552cc63a54a2bbff63fcf798043055d2dac5fc9e36a837eedcfb",
|
||||
input={
|
||||
"prompt": prompt,
|
||||
"music_gen_model_version": music_gen_model_version,
|
||||
"duration": duration,
|
||||
"temperature": temperature,
|
||||
"top_k": top_k,
|
||||
"top_p": top_p,
|
||||
"classifier_free_guidance": classifier_free_guidance,
|
||||
"output_format": output_format,
|
||||
"normalization_strategy": normalization_strategy,
|
||||
},
|
||||
)
|
||||
|
||||
# Handle the output
|
||||
if isinstance(output, list) and len(output) > 0:
|
||||
result_url = output[0] # If output is a list, get the first element
|
||||
elif isinstance(output, str):
|
||||
result_url = output # If output is a string, use it directly
|
||||
else:
|
||||
result_url = (
|
||||
"No output received" # Fallback message if output is not as expected
|
||||
)
|
||||
|
||||
return result_url
|
||||
|
|
@ -1,323 +0,0 @@
|
|||
import logging
|
||||
import time
|
||||
from enum import Enum
|
||||
from typing import Literal
|
||||
|
||||
from pydantic import SecretStr
|
||||
|
||||
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
|
||||
from backend.data.model import (
|
||||
APIKeyCredentials,
|
||||
CredentialsField,
|
||||
CredentialsMetaInput,
|
||||
SchemaField,
|
||||
)
|
||||
from backend.integrations.providers import ProviderName
|
||||
from backend.util.request import requests
|
||||
|
||||
TEST_CREDENTIALS = APIKeyCredentials(
|
||||
id="01234567-89ab-cdef-0123-456789abcdef",
|
||||
provider="revid",
|
||||
api_key=SecretStr("mock-revid-api-key"),
|
||||
title="Mock Revid API key",
|
||||
expires_at=None,
|
||||
)
|
||||
TEST_CREDENTIALS_INPUT = {
|
||||
"provider": TEST_CREDENTIALS.provider,
|
||||
"id": TEST_CREDENTIALS.id,
|
||||
"type": TEST_CREDENTIALS.type,
|
||||
"title": TEST_CREDENTIALS.type,
|
||||
}
|
||||
|
||||
|
||||
class AudioTrack(str, Enum):
|
||||
OBSERVER = ("Observer",)
|
||||
FUTURISTIC_BEAT = ("Futuristic Beat",)
|
||||
SCIENCE_DOCUMENTARY = ("Science Documentary",)
|
||||
HOTLINE = ("Hotline",)
|
||||
BLADERUNNER_2049 = ("Bladerunner 2049",)
|
||||
A_FUTURE = ("A Future",)
|
||||
ELYSIAN_EMBERS = ("Elysian Embers",)
|
||||
INSPIRING_CINEMATIC = ("Inspiring Cinematic",)
|
||||
BLADERUNNER_REMIX = ("Bladerunner Remix",)
|
||||
IZZAMUZZIC = ("Izzamuzzic",)
|
||||
NAS = ("Nas",)
|
||||
PARIS_ELSE = ("Paris - Else",)
|
||||
SNOWFALL = ("Snowfall",)
|
||||
BURLESQUE = ("Burlesque",)
|
||||
CORNY_CANDY = ("Corny Candy",)
|
||||
HIGHWAY_NOCTURNE = ("Highway Nocturne",)
|
||||
I_DONT_THINK_SO = ("I Don't Think So",)
|
||||
LOSING_YOUR_MARBLES = ("Losing Your Marbles",)
|
||||
REFRESHER = ("Refresher",)
|
||||
TOURIST = ("Tourist",)
|
||||
TWIN_TYCHES = ("Twin Tyches",)
|
||||
|
||||
@property
|
||||
def audio_url(self):
|
||||
audio_urls = {
|
||||
AudioTrack.OBSERVER: "https://cdn.tfrv.xyz/audio/observer.mp3",
|
||||
AudioTrack.FUTURISTIC_BEAT: "https://cdn.tfrv.xyz/audio/_futuristic-beat.mp3",
|
||||
AudioTrack.SCIENCE_DOCUMENTARY: "https://cdn.tfrv.xyz/audio/_science-documentary.mp3",
|
||||
AudioTrack.HOTLINE: "https://cdn.tfrv.xyz/audio/_hotline.mp3",
|
||||
AudioTrack.BLADERUNNER_2049: "https://cdn.tfrv.xyz/audio/_bladerunner-2049.mp3",
|
||||
AudioTrack.A_FUTURE: "https://cdn.tfrv.xyz/audio/a-future.mp3",
|
||||
AudioTrack.ELYSIAN_EMBERS: "https://cdn.tfrv.xyz/audio/elysian-embers.mp3",
|
||||
AudioTrack.INSPIRING_CINEMATIC: "https://cdn.tfrv.xyz/audio/inspiring-cinematic-ambient.mp3",
|
||||
AudioTrack.BLADERUNNER_REMIX: "https://cdn.tfrv.xyz/audio/bladerunner-remix.mp3",
|
||||
AudioTrack.IZZAMUZZIC: "https://cdn.tfrv.xyz/audio/_izzamuzzic.mp3",
|
||||
AudioTrack.NAS: "https://cdn.tfrv.xyz/audio/_nas.mp3",
|
||||
AudioTrack.PARIS_ELSE: "https://cdn.tfrv.xyz/audio/_paris-else.mp3",
|
||||
AudioTrack.SNOWFALL: "https://cdn.tfrv.xyz/audio/_snowfall.mp3",
|
||||
AudioTrack.BURLESQUE: "https://cdn.tfrv.xyz/audio/burlesque.mp3",
|
||||
AudioTrack.CORNY_CANDY: "https://cdn.tfrv.xyz/audio/corny-candy.mp3",
|
||||
AudioTrack.HIGHWAY_NOCTURNE: "https://cdn.tfrv.xyz/audio/highway-nocturne.mp3",
|
||||
AudioTrack.I_DONT_THINK_SO: "https://cdn.tfrv.xyz/audio/i-dont-think-so.mp3",
|
||||
AudioTrack.LOSING_YOUR_MARBLES: "https://cdn.tfrv.xyz/audio/losing-your-marbles.mp3",
|
||||
AudioTrack.REFRESHER: "https://cdn.tfrv.xyz/audio/refresher.mp3",
|
||||
AudioTrack.TOURIST: "https://cdn.tfrv.xyz/audio/tourist.mp3",
|
||||
AudioTrack.TWIN_TYCHES: "https://cdn.tfrv.xyz/audio/twin-tynches.mp3",
|
||||
}
|
||||
return audio_urls[self]
|
||||
|
||||
|
||||
class GenerationPreset(str, Enum):
|
||||
LEONARDO = ("Default",)
|
||||
ANIME = ("Anime",)
|
||||
REALISM = ("Realist",)
|
||||
ILLUSTRATION = ("Illustration",)
|
||||
SKETCH_COLOR = ("Sketch Color",)
|
||||
SKETCH_BW = ("Sketch B&W",)
|
||||
PIXAR = ("Pixar",)
|
||||
INK = ("Japanese Ink",)
|
||||
RENDER_3D = ("3D Render",)
|
||||
LEGO = ("Lego",)
|
||||
SCIFI = ("Sci-Fi",)
|
||||
RECRO_CARTOON = ("Retro Cartoon",)
|
||||
PIXEL_ART = ("Pixel Art",)
|
||||
CREATIVE = ("Creative",)
|
||||
PHOTOGRAPHY = ("Photography",)
|
||||
RAYTRACED = ("Raytraced",)
|
||||
ENVIRONMENT = ("Environment",)
|
||||
FANTASY = ("Fantasy",)
|
||||
ANIME_SR = ("Anime Realism",)
|
||||
MOVIE = ("Movie",)
|
||||
STYLIZED_ILLUSTRATION = ("Stylized Illustration",)
|
||||
MANGA = ("Manga",)
|
||||
|
||||
|
||||
class Voice(str, Enum):
|
||||
LILY = "Lily"
|
||||
DANIEL = "Daniel"
|
||||
BRIAN = "Brian"
|
||||
JESSICA = "Jessica"
|
||||
CHARLOTTE = "Charlotte"
|
||||
CALLUM = "Callum"
|
||||
|
||||
@property
|
||||
def voice_id(self):
|
||||
voice_id_map = {
|
||||
Voice.LILY: "pFZP5JQG7iQjIQuC4Bku",
|
||||
Voice.DANIEL: "onwK4e9ZLuTAKqWW03F9",
|
||||
Voice.BRIAN: "nPczCjzI2devNBz1zQrb",
|
||||
Voice.JESSICA: "cgSgspJ2msm6clMCkdW9",
|
||||
Voice.CHARLOTTE: "XB0fDUnXU5powFXDhCwa",
|
||||
Voice.CALLUM: "N2lVS1w4EtoT3dr4eOWO",
|
||||
}
|
||||
return voice_id_map[self]
|
||||
|
||||
def __str__(self):
|
||||
return self.value
|
||||
|
||||
|
||||
class VisualMediaType(str, Enum):
|
||||
STOCK_VIDEOS = ("stockVideo",)
|
||||
MOVING_AI_IMAGES = ("movingImage",)
|
||||
AI_VIDEO = ("aiVideo",)
|
||||
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class AIShortformVideoCreatorBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
credentials: CredentialsMetaInput[
|
||||
Literal[ProviderName.REVID], Literal["api_key"]
|
||||
] = CredentialsField(
|
||||
description="The revid.ai integration can be used with "
|
||||
"any API key with sufficient permissions for the blocks it is used on.",
|
||||
)
|
||||
script: str = SchemaField(
|
||||
description="""1. Use short and punctuated sentences\n\n2. Use linebreaks to create a new clip\n\n3. Text outside of brackets is spoken by the AI, and [text between brackets] will be used to guide the visual generation. For example, [close-up of a cat] will show a close-up of a cat.""",
|
||||
placeholder="[close-up of a cat] Meow!",
|
||||
)
|
||||
ratio: str = SchemaField(
|
||||
description="Aspect ratio of the video", default="9 / 16"
|
||||
)
|
||||
resolution: str = SchemaField(
|
||||
description="Resolution of the video", default="720p"
|
||||
)
|
||||
frame_rate: int = SchemaField(description="Frame rate of the video", default=60)
|
||||
generation_preset: GenerationPreset = SchemaField(
|
||||
description="Generation preset for visual style - only effects AI generated visuals",
|
||||
default=GenerationPreset.LEONARDO,
|
||||
placeholder=GenerationPreset.LEONARDO,
|
||||
)
|
||||
background_music: AudioTrack = SchemaField(
|
||||
description="Background music track",
|
||||
default=AudioTrack.HIGHWAY_NOCTURNE,
|
||||
placeholder=AudioTrack.HIGHWAY_NOCTURNE,
|
||||
)
|
||||
voice: Voice = SchemaField(
|
||||
description="AI voice to use for narration",
|
||||
default=Voice.LILY,
|
||||
placeholder=Voice.LILY,
|
||||
)
|
||||
video_style: VisualMediaType = SchemaField(
|
||||
description="Type of visual media to use for the video",
|
||||
default=VisualMediaType.STOCK_VIDEOS,
|
||||
placeholder=VisualMediaType.STOCK_VIDEOS,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
video_url: str = SchemaField(description="The URL of the created video")
|
||||
error: str = SchemaField(description="Error message if the request failed")
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="361697fb-0c4f-4feb-aed3-8320c88c771b",
|
||||
description="Creates a shortform video using revid.ai",
|
||||
categories={BlockCategory.SOCIAL, BlockCategory.AI},
|
||||
input_schema=AIShortformVideoCreatorBlock.Input,
|
||||
output_schema=AIShortformVideoCreatorBlock.Output,
|
||||
test_input={
|
||||
"credentials": TEST_CREDENTIALS_INPUT,
|
||||
"script": "[close-up of a cat] Meow!",
|
||||
"ratio": "9 / 16",
|
||||
"resolution": "720p",
|
||||
"frame_rate": 60,
|
||||
"generation_preset": GenerationPreset.LEONARDO,
|
||||
"background_music": AudioTrack.HIGHWAY_NOCTURNE,
|
||||
"voice": Voice.LILY,
|
||||
"video_style": VisualMediaType.STOCK_VIDEOS,
|
||||
},
|
||||
test_output=(
|
||||
"video_url",
|
||||
"https://example.com/video.mp4",
|
||||
),
|
||||
test_mock={
|
||||
"create_webhook": lambda: (
|
||||
"test_uuid",
|
||||
"https://webhook.site/test_uuid",
|
||||
),
|
||||
"create_video": lambda api_key, payload: {"pid": "test_pid"},
|
||||
"wait_for_video": lambda api_key, pid, webhook_token, max_wait_time=1000: "https://example.com/video.mp4",
|
||||
},
|
||||
test_credentials=TEST_CREDENTIALS,
|
||||
)
|
||||
|
||||
def create_webhook(self):
|
||||
url = "https://webhook.site/token"
|
||||
headers = {"Accept": "application/json", "Content-Type": "application/json"}
|
||||
response = requests.post(url, headers=headers)
|
||||
webhook_data = response.json()
|
||||
return webhook_data["uuid"], f"https://webhook.site/{webhook_data['uuid']}"
|
||||
|
||||
def create_video(self, api_key: SecretStr, payload: dict) -> dict:
|
||||
url = "https://www.revid.ai/api/public/v2/render"
|
||||
headers = {"key": api_key.get_secret_value()}
|
||||
response = requests.post(url, json=payload, headers=headers)
|
||||
logger.debug(
|
||||
f"API Response Status Code: {response.status_code}, Content: {response.text}"
|
||||
)
|
||||
return response.json()
|
||||
|
||||
def check_video_status(self, api_key: SecretStr, pid: str) -> dict:
|
||||
url = f"https://www.revid.ai/api/public/v2/status?pid={pid}"
|
||||
headers = {"key": api_key.get_secret_value()}
|
||||
response = requests.get(url, headers=headers)
|
||||
return response.json()
|
||||
|
||||
def wait_for_video(
|
||||
self,
|
||||
api_key: SecretStr,
|
||||
pid: str,
|
||||
webhook_token: str,
|
||||
max_wait_time: int = 1000,
|
||||
) -> str:
|
||||
start_time = time.time()
|
||||
while time.time() - start_time < max_wait_time:
|
||||
status = self.check_video_status(api_key, pid)
|
||||
logger.debug(f"Video status: {status}")
|
||||
|
||||
if status.get("status") == "ready" and "videoUrl" in status:
|
||||
return status["videoUrl"]
|
||||
elif status.get("status") == "error":
|
||||
error_message = status.get("error", "Unknown error occurred")
|
||||
logger.error(f"Video creation failed: {error_message}")
|
||||
raise ValueError(f"Video creation failed: {error_message}")
|
||||
elif status.get("status") in ["FAILED", "CANCELED"]:
|
||||
logger.error(f"Video creation failed: {status.get('message')}")
|
||||
raise ValueError(f"Video creation failed: {status.get('message')}")
|
||||
|
||||
time.sleep(10)
|
||||
|
||||
logger.error("Video creation timed out")
|
||||
raise TimeoutError("Video creation timed out")
|
||||
|
||||
def run(
|
||||
self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
|
||||
) -> BlockOutput:
|
||||
# Create a new Webhook.site URL
|
||||
webhook_token, webhook_url = self.create_webhook()
|
||||
logger.debug(f"Webhook URL: {webhook_url}")
|
||||
|
||||
audio_url = input_data.background_music.audio_url
|
||||
|
||||
payload = {
|
||||
"frameRate": input_data.frame_rate,
|
||||
"resolution": input_data.resolution,
|
||||
"frameDurationMultiplier": 18,
|
||||
"webhook": webhook_url,
|
||||
"creationParams": {
|
||||
"mediaType": input_data.video_style,
|
||||
"captionPresetName": "Wrap 1",
|
||||
"selectedVoice": input_data.voice.voice_id,
|
||||
"hasEnhancedGeneration": True,
|
||||
"generationPreset": input_data.generation_preset.name,
|
||||
"selectedAudio": input_data.background_music,
|
||||
"origin": "/create",
|
||||
"inputText": input_data.script,
|
||||
"flowType": "text-to-video",
|
||||
"slug": "create-tiktok-video",
|
||||
"hasToGenerateVoice": True,
|
||||
"hasToTranscript": False,
|
||||
"hasToSearchMedia": True,
|
||||
"hasAvatar": False,
|
||||
"hasWebsiteRecorder": False,
|
||||
"hasTextSmallAtBottom": False,
|
||||
"ratio": input_data.ratio,
|
||||
"sourceType": "contentScraping",
|
||||
"selectedStoryStyle": {"value": "custom", "label": "Custom"},
|
||||
"hasToGenerateVideos": input_data.video_style
|
||||
!= VisualMediaType.STOCK_VIDEOS,
|
||||
"audioUrl": audio_url,
|
||||
},
|
||||
}
|
||||
|
||||
logger.debug("Creating video...")
|
||||
response = self.create_video(credentials.api_key, payload)
|
||||
pid = response.get("pid")
|
||||
|
||||
if not pid:
|
||||
logger.error(
|
||||
f"Failed to create video: No project ID returned. API Response: {response}"
|
||||
)
|
||||
raise RuntimeError("Failed to create video: No project ID returned")
|
||||
else:
|
||||
logger.debug(
|
||||
f"Video created with project ID: {pid}. Waiting for completion..."
|
||||
)
|
||||
video_url = self.wait_for_video(credentials.api_key, pid, webhook_token)
|
||||
logger.debug(f"Video ready: {video_url}")
|
||||
yield "video_url", video_url
|
||||
|
|
@ -1,592 +0,0 @@
|
|||
from typing import Any, List
|
||||
|
||||
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema, BlockType
|
||||
from backend.data.model import SchemaField
|
||||
from backend.util.mock import MockObject
|
||||
from backend.util.text import TextFormatter
|
||||
|
||||
formatter = TextFormatter()
|
||||
|
||||
|
||||
class StoreValueBlock(Block):
|
||||
"""
|
||||
This block allows you to provide a constant value as a block, in a stateless manner.
|
||||
The common use-case is simply pass the `input` data, it will `output` the same data.
|
||||
The block output will be static, the output can be consumed multiple times.
|
||||
"""
|
||||
|
||||
class Input(BlockSchema):
|
||||
input: Any = SchemaField(
|
||||
description="Trigger the block to produce the output. "
|
||||
"The value is only used when `data` is None."
|
||||
)
|
||||
data: Any = SchemaField(
|
||||
description="The constant data to be retained in the block. "
|
||||
"This value is passed as `output`.",
|
||||
default=None,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
output: Any = SchemaField(description="The stored data retained in the block.")
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="1ff065e9-88e8-4358-9d82-8dc91f622ba9",
|
||||
description="This block forwards an input value as output, allowing reuse without change.",
|
||||
categories={BlockCategory.BASIC},
|
||||
input_schema=StoreValueBlock.Input,
|
||||
output_schema=StoreValueBlock.Output,
|
||||
test_input=[
|
||||
{"input": "Hello, World!"},
|
||||
{"input": "Hello, World!", "data": "Existing Data"},
|
||||
],
|
||||
test_output=[
|
||||
("output", "Hello, World!"), # No data provided, so trigger is returned
|
||||
("output", "Existing Data"), # Data is provided, so data is returned.
|
||||
],
|
||||
static_output=True,
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
yield "output", input_data.data or input_data.input
|
||||
|
||||
|
||||
class PrintToConsoleBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
text: str = SchemaField(description="The text to print to the console.")
|
||||
|
||||
class Output(BlockSchema):
|
||||
status: str = SchemaField(description="The status of the print operation.")
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="f3b1c1b2-4c4f-4f0d-8d2f-4c4f0d8d2f4c",
|
||||
description="Print the given text to the console, this is used for a debugging purpose.",
|
||||
categories={BlockCategory.BASIC},
|
||||
input_schema=PrintToConsoleBlock.Input,
|
||||
output_schema=PrintToConsoleBlock.Output,
|
||||
test_input={"text": "Hello, World!"},
|
||||
test_output=("status", "printed"),
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
print(">>>>> Print: ", input_data.text)
|
||||
yield "status", "printed"
|
||||
|
||||
|
||||
class FindInDictionaryBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
input: Any = SchemaField(description="Dictionary to lookup from")
|
||||
key: str | int = SchemaField(description="Key to lookup in the dictionary")
|
||||
|
||||
class Output(BlockSchema):
|
||||
output: Any = SchemaField(description="Value found for the given key")
|
||||
missing: Any = SchemaField(
|
||||
description="Value of the input that missing the key"
|
||||
)
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="0e50422c-6dee-4145-83d6-3a5a392f65de",
|
||||
description="Lookup the given key in the input dictionary/object/list and return the value.",
|
||||
input_schema=FindInDictionaryBlock.Input,
|
||||
output_schema=FindInDictionaryBlock.Output,
|
||||
test_input=[
|
||||
{"input": {"apple": 1, "banana": 2, "cherry": 3}, "key": "banana"},
|
||||
{"input": {"x": 10, "y": 20, "z": 30}, "key": "w"},
|
||||
{"input": [1, 2, 3], "key": 1},
|
||||
{"input": [1, 2, 3], "key": 3},
|
||||
{"input": MockObject(value="!!", key="key"), "key": "key"},
|
||||
{"input": [{"k1": "v1"}, {"k2": "v2"}, {"k1": "v3"}], "key": "k1"},
|
||||
],
|
||||
test_output=[
|
||||
("output", 2),
|
||||
("missing", {"x": 10, "y": 20, "z": 30}),
|
||||
("output", 2),
|
||||
("missing", [1, 2, 3]),
|
||||
("output", "key"),
|
||||
("output", ["v1", "v3"]),
|
||||
],
|
||||
categories={BlockCategory.BASIC},
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
obj = input_data.input
|
||||
key = input_data.key
|
||||
|
||||
if isinstance(obj, dict) and key in obj:
|
||||
yield "output", obj[key]
|
||||
elif isinstance(obj, list) and isinstance(key, int) and 0 <= key < len(obj):
|
||||
yield "output", obj[key]
|
||||
elif isinstance(obj, list) and isinstance(key, str):
|
||||
if len(obj) == 0:
|
||||
yield "output", []
|
||||
elif isinstance(obj[0], dict) and key in obj[0]:
|
||||
yield "output", [item[key] for item in obj if key in item]
|
||||
else:
|
||||
yield "output", [getattr(val, key) for val in obj if hasattr(val, key)]
|
||||
elif isinstance(obj, object) and isinstance(key, str) and hasattr(obj, key):
|
||||
yield "output", getattr(obj, key)
|
||||
else:
|
||||
yield "missing", input_data.input
|
||||
|
||||
|
||||
class AgentInputBlock(Block):
|
||||
"""
|
||||
This block is used to provide input to the graph.
|
||||
|
||||
It takes in a value, name, description, default values list and bool to limit selection to default values.
|
||||
|
||||
It Outputs the value passed as input.
|
||||
"""
|
||||
|
||||
class Input(BlockSchema):
|
||||
name: str = SchemaField(description="The name of the input.")
|
||||
value: Any = SchemaField(
|
||||
description="The value to be passed as input.",
|
||||
default=None,
|
||||
)
|
||||
title: str | None = SchemaField(
|
||||
description="The title of the input.", default=None, advanced=True
|
||||
)
|
||||
description: str | None = SchemaField(
|
||||
description="The description of the input.",
|
||||
default=None,
|
||||
advanced=True,
|
||||
)
|
||||
placeholder_values: List[Any] = SchemaField(
|
||||
description="The placeholder values to be passed as input.",
|
||||
default=[],
|
||||
advanced=True,
|
||||
)
|
||||
limit_to_placeholder_values: bool = SchemaField(
|
||||
description="Whether to limit the selection to placeholder values.",
|
||||
default=False,
|
||||
advanced=True,
|
||||
)
|
||||
advanced: bool = SchemaField(
|
||||
description="Whether to show the input in the advanced section, if the field is not required.",
|
||||
default=False,
|
||||
advanced=True,
|
||||
)
|
||||
secret: bool = SchemaField(
|
||||
description="Whether the input should be treated as a secret.",
|
||||
default=False,
|
||||
advanced=True,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
result: Any = SchemaField(description="The value passed as input.")
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="c0a8e994-ebf1-4a9c-a4d8-89d09c86741b",
|
||||
description="This block is used to provide input to the graph.",
|
||||
input_schema=AgentInputBlock.Input,
|
||||
output_schema=AgentInputBlock.Output,
|
||||
test_input=[
|
||||
{
|
||||
"value": "Hello, World!",
|
||||
"name": "input_1",
|
||||
"description": "This is a test input.",
|
||||
"placeholder_values": [],
|
||||
"limit_to_placeholder_values": False,
|
||||
},
|
||||
{
|
||||
"value": "Hello, World!",
|
||||
"name": "input_2",
|
||||
"description": "This is a test input.",
|
||||
"placeholder_values": ["Hello, World!"],
|
||||
"limit_to_placeholder_values": True,
|
||||
},
|
||||
],
|
||||
test_output=[
|
||||
("result", "Hello, World!"),
|
||||
("result", "Hello, World!"),
|
||||
],
|
||||
categories={BlockCategory.INPUT, BlockCategory.BASIC},
|
||||
block_type=BlockType.INPUT,
|
||||
static_output=True,
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
yield "result", input_data.value
|
||||
|
||||
|
||||
class AgentOutputBlock(Block):
|
||||
"""
|
||||
Records the output of the graph for users to see.
|
||||
|
||||
Behavior:
|
||||
If `format` is provided and the `value` is of a type that can be formatted,
|
||||
the block attempts to format the recorded_value using the `format`.
|
||||
If formatting fails or no `format` is provided, the raw `value` is output.
|
||||
"""
|
||||
|
||||
class Input(BlockSchema):
|
||||
value: Any = SchemaField(
|
||||
description="The value to be recorded as output.",
|
||||
default=None,
|
||||
advanced=False,
|
||||
)
|
||||
name: str = SchemaField(description="The name of the output.")
|
||||
title: str | None = SchemaField(
|
||||
description="The title of the output.",
|
||||
default=None,
|
||||
advanced=True,
|
||||
)
|
||||
description: str | None = SchemaField(
|
||||
description="The description of the output.",
|
||||
default=None,
|
||||
advanced=True,
|
||||
)
|
||||
format: str = SchemaField(
|
||||
description="The format string to be used to format the recorded_value. Use Jinja2 syntax.",
|
||||
default="",
|
||||
advanced=True,
|
||||
)
|
||||
advanced: bool = SchemaField(
|
||||
description="Whether to treat the output as advanced.",
|
||||
default=False,
|
||||
advanced=True,
|
||||
)
|
||||
secret: bool = SchemaField(
|
||||
description="Whether the output should be treated as a secret.",
|
||||
default=False,
|
||||
advanced=True,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
output: Any = SchemaField(description="The value recorded as output.")
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="363ae599-353e-4804-937e-b2ee3cef3da4",
|
||||
description="Stores the output of the graph for users to see.",
|
||||
input_schema=AgentOutputBlock.Input,
|
||||
output_schema=AgentOutputBlock.Output,
|
||||
test_input=[
|
||||
{
|
||||
"value": "Hello, World!",
|
||||
"name": "output_1",
|
||||
"description": "This is a test output.",
|
||||
"format": "{{ output_1 }}!!",
|
||||
},
|
||||
{
|
||||
"value": "42",
|
||||
"name": "output_2",
|
||||
"description": "This is another test output.",
|
||||
"format": "{{ output_2 }}",
|
||||
},
|
||||
{
|
||||
"value": MockObject(value="!!", key="key"),
|
||||
"name": "output_3",
|
||||
"description": "This is a test output with a mock object.",
|
||||
"format": "{{ output_3 }}",
|
||||
},
|
||||
],
|
||||
test_output=[
|
||||
("output", "Hello, World!!!"),
|
||||
("output", "42"),
|
||||
("output", MockObject(value="!!", key="key")),
|
||||
],
|
||||
categories={BlockCategory.OUTPUT, BlockCategory.BASIC},
|
||||
block_type=BlockType.OUTPUT,
|
||||
static_output=True,
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
"""
|
||||
Attempts to format the recorded_value using the fmt_string if provided.
|
||||
If formatting fails or no fmt_string is given, returns the original recorded_value.
|
||||
"""
|
||||
if input_data.format:
|
||||
try:
|
||||
yield "output", formatter.format_string(
|
||||
input_data.format, {input_data.name: input_data.value}
|
||||
)
|
||||
except Exception as e:
|
||||
yield "output", f"Error: {e}, {input_data.value}"
|
||||
else:
|
||||
yield "output", input_data.value
|
||||
|
||||
|
||||
class AddToDictionaryBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
dictionary: dict[Any, Any] = SchemaField(
|
||||
default={},
|
||||
description="The dictionary to add the entry to. If not provided, a new dictionary will be created.",
|
||||
)
|
||||
key: str = SchemaField(
|
||||
default="",
|
||||
description="The key for the new entry.",
|
||||
placeholder="new_key",
|
||||
advanced=False,
|
||||
)
|
||||
value: Any = SchemaField(
|
||||
default=None,
|
||||
description="The value for the new entry.",
|
||||
placeholder="new_value",
|
||||
advanced=False,
|
||||
)
|
||||
entries: dict[Any, Any] = SchemaField(
|
||||
default={},
|
||||
description="The entries to add to the dictionary. This is the batch version of the `key` and `value` fields.",
|
||||
advanced=True,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
updated_dictionary: dict = SchemaField(
|
||||
description="The dictionary with the new entry added."
|
||||
)
|
||||
error: str = SchemaField(description="Error message if the operation failed.")
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="31d1064e-7446-4693-a7d4-65e5ca1180d1",
|
||||
description="Adds a new key-value pair to a dictionary. If no dictionary is provided, a new one is created.",
|
||||
categories={BlockCategory.BASIC},
|
||||
input_schema=AddToDictionaryBlock.Input,
|
||||
output_schema=AddToDictionaryBlock.Output,
|
||||
test_input=[
|
||||
{
|
||||
"dictionary": {"existing_key": "existing_value"},
|
||||
"key": "new_key",
|
||||
"value": "new_value",
|
||||
},
|
||||
{"key": "first_key", "value": "first_value"},
|
||||
{
|
||||
"dictionary": {"existing_key": "existing_value"},
|
||||
"entries": {"new_key": "new_value", "first_key": "first_value"},
|
||||
},
|
||||
],
|
||||
test_output=[
|
||||
(
|
||||
"updated_dictionary",
|
||||
{"existing_key": "existing_value", "new_key": "new_value"},
|
||||
),
|
||||
("updated_dictionary", {"first_key": "first_value"}),
|
||||
(
|
||||
"updated_dictionary",
|
||||
{
|
||||
"existing_key": "existing_value",
|
||||
"new_key": "new_value",
|
||||
"first_key": "first_value",
|
||||
},
|
||||
),
|
||||
],
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
updated_dict = input_data.dictionary.copy()
|
||||
|
||||
if input_data.value is not None and input_data.key:
|
||||
updated_dict[input_data.key] = input_data.value
|
||||
|
||||
for key, value in input_data.entries.items():
|
||||
updated_dict[key] = value
|
||||
|
||||
yield "updated_dictionary", updated_dict
|
||||
|
||||
|
||||
class AddToListBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
list: List[Any] = SchemaField(
|
||||
default=[],
|
||||
advanced=False,
|
||||
description="The list to add the entry to. If not provided, a new list will be created.",
|
||||
)
|
||||
entry: Any = SchemaField(
|
||||
description="The entry to add to the list. Can be of any type (string, int, dict, etc.).",
|
||||
advanced=False,
|
||||
default=None,
|
||||
)
|
||||
entries: List[Any] = SchemaField(
|
||||
default=[],
|
||||
description="The entries to add to the list. This is the batch version of the `entry` field.",
|
||||
advanced=True,
|
||||
)
|
||||
position: int | None = SchemaField(
|
||||
default=None,
|
||||
description="The position to insert the new entry. If not provided, the entry will be appended to the end of the list.",
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
updated_list: List[Any] = SchemaField(
|
||||
description="The list with the new entry added."
|
||||
)
|
||||
error: str = SchemaField(description="Error message if the operation failed.")
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="aeb08fc1-2fc1-4141-bc8e-f758f183a822",
|
||||
description="Adds a new entry to a list. The entry can be of any type. If no list is provided, a new one is created.",
|
||||
categories={BlockCategory.BASIC},
|
||||
input_schema=AddToListBlock.Input,
|
||||
output_schema=AddToListBlock.Output,
|
||||
test_input=[
|
||||
{
|
||||
"list": [1, "string", {"existing_key": "existing_value"}],
|
||||
"entry": {"new_key": "new_value"},
|
||||
"position": 1,
|
||||
},
|
||||
{"entry": "first_entry"},
|
||||
{"list": ["a", "b", "c"], "entry": "d"},
|
||||
{
|
||||
"entry": "e",
|
||||
"entries": ["f", "g"],
|
||||
"list": ["a", "b"],
|
||||
"position": 1,
|
||||
},
|
||||
],
|
||||
test_output=[
|
||||
(
|
||||
"updated_list",
|
||||
[
|
||||
1,
|
||||
{"new_key": "new_value"},
|
||||
"string",
|
||||
{"existing_key": "existing_value"},
|
||||
],
|
||||
),
|
||||
("updated_list", ["first_entry"]),
|
||||
("updated_list", ["a", "b", "c", "d"]),
|
||||
("updated_list", ["a", "f", "g", "e", "b"]),
|
||||
],
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
entries_added = input_data.entries.copy()
|
||||
if input_data.entry:
|
||||
entries_added.append(input_data.entry)
|
||||
|
||||
updated_list = input_data.list.copy()
|
||||
if (pos := input_data.position) is not None:
|
||||
updated_list = updated_list[:pos] + entries_added + updated_list[pos:]
|
||||
else:
|
||||
updated_list += entries_added
|
||||
|
||||
yield "updated_list", updated_list
|
||||
|
||||
|
||||
class NoteBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
text: str = SchemaField(description="The text to display in the sticky note.")
|
||||
|
||||
class Output(BlockSchema):
|
||||
output: str = SchemaField(description="The text to display in the sticky note.")
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="cc10ff7b-7753-4ff2-9af6-9399b1a7eddc",
|
||||
description="This block is used to display a sticky note with the given text.",
|
||||
categories={BlockCategory.BASIC},
|
||||
input_schema=NoteBlock.Input,
|
||||
output_schema=NoteBlock.Output,
|
||||
test_input={"text": "Hello, World!"},
|
||||
test_output=[
|
||||
("output", "Hello, World!"),
|
||||
],
|
||||
block_type=BlockType.NOTE,
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
yield "output", input_data.text
|
||||
|
||||
|
||||
class CreateDictionaryBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
values: dict[str, Any] = SchemaField(
|
||||
description="Key-value pairs to create the dictionary with",
|
||||
placeholder="e.g., {'name': 'Alice', 'age': 25}",
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
dictionary: dict[str, Any] = SchemaField(
|
||||
description="The created dictionary containing the specified key-value pairs"
|
||||
)
|
||||
error: str = SchemaField(
|
||||
description="Error message if dictionary creation failed"
|
||||
)
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="b924ddf4-de4f-4b56-9a85-358930dcbc91",
|
||||
description="Creates a dictionary with the specified key-value pairs. Use this when you know all the values you want to add upfront.",
|
||||
categories={BlockCategory.DATA},
|
||||
input_schema=CreateDictionaryBlock.Input,
|
||||
output_schema=CreateDictionaryBlock.Output,
|
||||
test_input=[
|
||||
{
|
||||
"values": {"name": "Alice", "age": 25, "city": "New York"},
|
||||
},
|
||||
{
|
||||
"values": {"numbers": [1, 2, 3], "active": True, "score": 95.5},
|
||||
},
|
||||
],
|
||||
test_output=[
|
||||
(
|
||||
"dictionary",
|
||||
{"name": "Alice", "age": 25, "city": "New York"},
|
||||
),
|
||||
(
|
||||
"dictionary",
|
||||
{"numbers": [1, 2, 3], "active": True, "score": 95.5},
|
||||
),
|
||||
],
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
try:
|
||||
# The values are already validated by Pydantic schema
|
||||
yield "dictionary", input_data.values
|
||||
except Exception as e:
|
||||
yield "error", f"Failed to create dictionary: {str(e)}"
|
||||
|
||||
|
||||
class CreateListBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
values: List[Any] = SchemaField(
|
||||
description="A list of values to be combined into a new list.",
|
||||
placeholder="e.g., ['Alice', 25, True]",
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
list: List[Any] = SchemaField(
|
||||
description="The created list containing the specified values."
|
||||
)
|
||||
error: str = SchemaField(description="Error message if list creation failed.")
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="a912d5c7-6e00-4542-b2a9-8034136930e4",
|
||||
description="Creates a list with the specified values. Use this when you know all the values you want to add upfront.",
|
||||
categories={BlockCategory.DATA},
|
||||
input_schema=CreateListBlock.Input,
|
||||
output_schema=CreateListBlock.Output,
|
||||
test_input=[
|
||||
{
|
||||
"values": ["Alice", 25, True],
|
||||
},
|
||||
{
|
||||
"values": [1, 2, 3, "four", {"key": "value"}],
|
||||
},
|
||||
],
|
||||
test_output=[
|
||||
(
|
||||
"list",
|
||||
["Alice", 25, True],
|
||||
),
|
||||
(
|
||||
"list",
|
||||
[1, 2, 3, "four", {"key": "value"}],
|
||||
),
|
||||
],
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
try:
|
||||
# The values are already validated by Pydantic schema
|
||||
yield "list", input_data.values
|
||||
except Exception as e:
|
||||
yield "error", f"Failed to create list: {str(e)}"
|
||||
|
|
@ -1,71 +0,0 @@
|
|||
import os
|
||||
import re
|
||||
from typing import Type
|
||||
|
||||
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
|
||||
from backend.data.model import SchemaField
|
||||
|
||||
|
||||
class BlockInstallationBlock(Block):
|
||||
"""
|
||||
This block allows the verification and installation of other blocks in the system.
|
||||
|
||||
NOTE:
|
||||
This block allows remote code execution on the server, and it should be used
|
||||
for development purposes only.
|
||||
"""
|
||||
|
||||
class Input(BlockSchema):
|
||||
code: str = SchemaField(
|
||||
description="Python code of the block to be installed",
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
success: str = SchemaField(
|
||||
description="Success message if the block is installed successfully",
|
||||
)
|
||||
error: str = SchemaField(
|
||||
description="Error message if the block installation fails",
|
||||
)
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="45e78db5-03e9-447f-9395-308d712f5f08",
|
||||
description="Given a code string, this block allows the verification and installation of a block code into the system.",
|
||||
categories={BlockCategory.BASIC},
|
||||
input_schema=BlockInstallationBlock.Input,
|
||||
output_schema=BlockInstallationBlock.Output,
|
||||
disabled=True,
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
code = input_data.code
|
||||
|
||||
if search := re.search(r"class (\w+)\(Block\):", code):
|
||||
class_name = search.group(1)
|
||||
else:
|
||||
raise RuntimeError("No class found in the code.")
|
||||
|
||||
if search := re.search(r"id=\"(\w+-\w+-\w+-\w+-\w+)\"", code):
|
||||
file_name = search.group(1)
|
||||
else:
|
||||
raise RuntimeError("No UUID found in the code.")
|
||||
|
||||
block_dir = os.path.dirname(__file__)
|
||||
file_path = f"{block_dir}/{file_name}.py"
|
||||
module_name = f"backend.blocks.{file_name}"
|
||||
with open(file_path, "w") as f:
|
||||
f.write(code)
|
||||
|
||||
try:
|
||||
module = __import__(module_name, fromlist=[class_name])
|
||||
block_class: Type[Block] = getattr(module, class_name)
|
||||
block = block_class()
|
||||
|
||||
from backend.util.test import execute_block_test
|
||||
|
||||
execute_block_test(block)
|
||||
yield "success", "Block installed successfully."
|
||||
except Exception as e:
|
||||
os.remove(file_path)
|
||||
raise RuntimeError(f"[Code]\n{code}\n\n[Error]\n{str(e)}")
|
||||
|
|
@ -1,109 +0,0 @@
|
|||
from enum import Enum
|
||||
from typing import Any
|
||||
|
||||
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
|
||||
from backend.data.model import SchemaField
|
||||
|
||||
|
||||
class ComparisonOperator(Enum):
|
||||
EQUAL = "=="
|
||||
NOT_EQUAL = "!="
|
||||
GREATER_THAN = ">"
|
||||
LESS_THAN = "<"
|
||||
GREATER_THAN_OR_EQUAL = ">="
|
||||
LESS_THAN_OR_EQUAL = "<="
|
||||
|
||||
|
||||
class ConditionBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
value1: Any = SchemaField(
|
||||
description="Enter the first value for comparison",
|
||||
placeholder="For example: 10 or 'hello' or True",
|
||||
)
|
||||
operator: ComparisonOperator = SchemaField(
|
||||
description="Choose the comparison operator",
|
||||
placeholder="Select an operator",
|
||||
)
|
||||
value2: Any = SchemaField(
|
||||
description="Enter the second value for comparison",
|
||||
placeholder="For example: 20 or 'world' or False",
|
||||
)
|
||||
yes_value: Any = SchemaField(
|
||||
description="(Optional) Value to output if the condition is true. If not provided, value1 will be used.",
|
||||
placeholder="Leave empty to use value1, or enter a specific value",
|
||||
default=None,
|
||||
)
|
||||
no_value: Any = SchemaField(
|
||||
description="(Optional) Value to output if the condition is false. If not provided, value1 will be used.",
|
||||
placeholder="Leave empty to use value1, or enter a specific value",
|
||||
default=None,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
result: bool = SchemaField(
|
||||
description="The result of the condition evaluation (True or False)"
|
||||
)
|
||||
yes_output: Any = SchemaField(
|
||||
description="The output value if the condition is true"
|
||||
)
|
||||
no_output: Any = SchemaField(
|
||||
description="The output value if the condition is false"
|
||||
)
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="715696a0-e1da-45c8-b209-c2fa9c3b0be6",
|
||||
input_schema=ConditionBlock.Input,
|
||||
output_schema=ConditionBlock.Output,
|
||||
description="Handles conditional logic based on comparison operators",
|
||||
categories={BlockCategory.LOGIC},
|
||||
test_input={
|
||||
"value1": 10,
|
||||
"operator": ComparisonOperator.GREATER_THAN.value,
|
||||
"value2": 5,
|
||||
"yes_value": "Greater",
|
||||
"no_value": "Not greater",
|
||||
},
|
||||
test_output=[
|
||||
("result", True),
|
||||
("yes_output", "Greater"),
|
||||
],
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
operator = input_data.operator
|
||||
|
||||
value1 = input_data.value1
|
||||
if isinstance(value1, str):
|
||||
try:
|
||||
value1 = float(value1.strip())
|
||||
except ValueError:
|
||||
value1 = value1.strip()
|
||||
|
||||
value2 = input_data.value2
|
||||
if isinstance(value2, str):
|
||||
try:
|
||||
value2 = float(value2.strip())
|
||||
except ValueError:
|
||||
value2 = value2.strip()
|
||||
|
||||
yes_value = input_data.yes_value if input_data.yes_value is not None else value1
|
||||
no_value = input_data.no_value if input_data.no_value is not None else value2
|
||||
|
||||
comparison_funcs = {
|
||||
ComparisonOperator.EQUAL: lambda a, b: a == b,
|
||||
ComparisonOperator.NOT_EQUAL: lambda a, b: a != b,
|
||||
ComparisonOperator.GREATER_THAN: lambda a, b: a > b,
|
||||
ComparisonOperator.LESS_THAN: lambda a, b: a < b,
|
||||
ComparisonOperator.GREATER_THAN_OR_EQUAL: lambda a, b: a >= b,
|
||||
ComparisonOperator.LESS_THAN_OR_EQUAL: lambda a, b: a <= b,
|
||||
}
|
||||
|
||||
result = comparison_funcs[operator](value1, value2)
|
||||
|
||||
yield "result", result
|
||||
|
||||
if result:
|
||||
yield "yes_output", yes_value
|
||||
else:
|
||||
yield "no_output", no_value
|
||||
|
|
@ -1,190 +0,0 @@
|
|||
from enum import Enum
|
||||
from typing import Literal
|
||||
|
||||
from e2b_code_interpreter import Sandbox
|
||||
from pydantic import SecretStr
|
||||
|
||||
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
|
||||
from backend.data.model import (
|
||||
APIKeyCredentials,
|
||||
CredentialsField,
|
||||
CredentialsMetaInput,
|
||||
SchemaField,
|
||||
)
|
||||
from backend.integrations.providers import ProviderName
|
||||
|
||||
TEST_CREDENTIALS = APIKeyCredentials(
|
||||
id="01234567-89ab-cdef-0123-456789abcdef",
|
||||
provider="e2b",
|
||||
api_key=SecretStr("mock-e2b-api-key"),
|
||||
title="Mock E2B API key",
|
||||
expires_at=None,
|
||||
)
|
||||
TEST_CREDENTIALS_INPUT = {
|
||||
"provider": TEST_CREDENTIALS.provider,
|
||||
"id": TEST_CREDENTIALS.id,
|
||||
"type": TEST_CREDENTIALS.type,
|
||||
"title": TEST_CREDENTIALS.type,
|
||||
}
|
||||
|
||||
|
||||
class ProgrammingLanguage(Enum):
|
||||
PYTHON = "python"
|
||||
JAVASCRIPT = "js"
|
||||
BASH = "bash"
|
||||
R = "r"
|
||||
JAVA = "java"
|
||||
|
||||
|
||||
class CodeExecutionBlock(Block):
|
||||
# TODO : Add support to upload and download files
|
||||
# Currently, You can customized the CPU and Memory, only by creating a pre customized sandbox template
|
||||
class Input(BlockSchema):
|
||||
credentials: CredentialsMetaInput[
|
||||
Literal[ProviderName.E2B], Literal["api_key"]
|
||||
] = CredentialsField(
|
||||
description="Enter your api key for the E2B Sandbox. You can get it in here - https://e2b.dev/docs",
|
||||
)
|
||||
|
||||
# Todo : Option to run commond in background
|
||||
setup_commands: list[str] = SchemaField(
|
||||
description=(
|
||||
"Shell commands to set up the sandbox before running the code. "
|
||||
"You can use `curl` or `git` to install your desired Debian based "
|
||||
"package manager. `pip` and `npm` are pre-installed.\n\n"
|
||||
"These commands are executed with `sh`, in the foreground."
|
||||
),
|
||||
placeholder="pip install cowsay",
|
||||
default=[],
|
||||
advanced=False,
|
||||
)
|
||||
|
||||
code: str = SchemaField(
|
||||
description="Code to execute in the sandbox",
|
||||
placeholder="print('Hello, World!')",
|
||||
default="",
|
||||
advanced=False,
|
||||
)
|
||||
|
||||
language: ProgrammingLanguage = SchemaField(
|
||||
description="Programming language to execute",
|
||||
default=ProgrammingLanguage.PYTHON,
|
||||
advanced=False,
|
||||
)
|
||||
|
||||
timeout: int = SchemaField(
|
||||
description="Execution timeout in seconds", default=300
|
||||
)
|
||||
|
||||
template_id: str = SchemaField(
|
||||
description=(
|
||||
"You can use an E2B sandbox template by entering its ID here. "
|
||||
"Check out the E2B docs for more details: "
|
||||
"[E2B - Sandbox template](https://e2b.dev/docs/sandbox-template)"
|
||||
),
|
||||
default="",
|
||||
advanced=True,
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
response: str = SchemaField(description="Response from code execution")
|
||||
stdout_logs: str = SchemaField(
|
||||
description="Standard output logs from execution"
|
||||
)
|
||||
stderr_logs: str = SchemaField(description="Standard error logs from execution")
|
||||
error: str = SchemaField(description="Error message if execution failed")
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="0b02b072-abe7-11ef-8372-fb5d162dd712",
|
||||
description="Executes code in an isolated sandbox environment with internet access.",
|
||||
categories={BlockCategory.DEVELOPER_TOOLS},
|
||||
input_schema=CodeExecutionBlock.Input,
|
||||
output_schema=CodeExecutionBlock.Output,
|
||||
test_credentials=TEST_CREDENTIALS,
|
||||
test_input={
|
||||
"credentials": TEST_CREDENTIALS_INPUT,
|
||||
"code": "print('Hello World')",
|
||||
"language": ProgrammingLanguage.PYTHON.value,
|
||||
"setup_commands": [],
|
||||
"timeout": 300,
|
||||
"template_id": "",
|
||||
},
|
||||
test_output=[
|
||||
("response", "Hello World"),
|
||||
("stdout_logs", "Hello World\n"),
|
||||
],
|
||||
test_mock={
|
||||
"execute_code": lambda code, language, setup_commands, timeout, api_key, template_id: (
|
||||
"Hello World",
|
||||
"Hello World\n",
|
||||
"",
|
||||
),
|
||||
},
|
||||
)
|
||||
|
||||
def execute_code(
|
||||
self,
|
||||
code: str,
|
||||
language: ProgrammingLanguage,
|
||||
setup_commands: list[str],
|
||||
timeout: int,
|
||||
api_key: str,
|
||||
template_id: str,
|
||||
):
|
||||
try:
|
||||
sandbox = None
|
||||
if template_id:
|
||||
sandbox = Sandbox(
|
||||
template=template_id, api_key=api_key, timeout=timeout
|
||||
)
|
||||
else:
|
||||
sandbox = Sandbox(api_key=api_key, timeout=timeout)
|
||||
|
||||
if not sandbox:
|
||||
raise Exception("Sandbox not created")
|
||||
|
||||
# Running setup commands
|
||||
for cmd in setup_commands:
|
||||
sandbox.commands.run(cmd)
|
||||
|
||||
# Executing the code
|
||||
execution = sandbox.run_code(
|
||||
code,
|
||||
language=language.value,
|
||||
on_error=lambda e: sandbox.kill(), # Kill the sandbox if there is an error
|
||||
)
|
||||
|
||||
if execution.error:
|
||||
raise Exception(execution.error)
|
||||
|
||||
response = execution.text
|
||||
stdout_logs = "".join(execution.logs.stdout)
|
||||
stderr_logs = "".join(execution.logs.stderr)
|
||||
|
||||
return response, stdout_logs, stderr_logs
|
||||
|
||||
except Exception as e:
|
||||
raise e
|
||||
|
||||
def run(
|
||||
self, input_data: Input, *, credentials: APIKeyCredentials, **kwargs
|
||||
) -> BlockOutput:
|
||||
try:
|
||||
response, stdout_logs, stderr_logs = self.execute_code(
|
||||
input_data.code,
|
||||
input_data.language,
|
||||
input_data.setup_commands,
|
||||
input_data.timeout,
|
||||
credentials.api_key.get_secret_value(),
|
||||
input_data.template_id,
|
||||
)
|
||||
|
||||
if response:
|
||||
yield "response", response
|
||||
if stdout_logs:
|
||||
yield "stdout_logs", stdout_logs
|
||||
if stderr_logs:
|
||||
yield "stderr_logs", stderr_logs
|
||||
except Exception as e:
|
||||
yield "error", str(e)
|
||||
|
|
@ -1,110 +0,0 @@
|
|||
import re
|
||||
|
||||
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
|
||||
from backend.data.model import SchemaField
|
||||
|
||||
|
||||
class CodeExtractionBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
text: str = SchemaField(
|
||||
description="Text containing code blocks to extract (e.g., AI response)",
|
||||
placeholder="Enter text containing code blocks",
|
||||
)
|
||||
|
||||
class Output(BlockSchema):
|
||||
html: str = SchemaField(description="Extracted HTML code")
|
||||
css: str = SchemaField(description="Extracted CSS code")
|
||||
javascript: str = SchemaField(description="Extracted JavaScript code")
|
||||
python: str = SchemaField(description="Extracted Python code")
|
||||
sql: str = SchemaField(description="Extracted SQL code")
|
||||
java: str = SchemaField(description="Extracted Java code")
|
||||
cpp: str = SchemaField(description="Extracted C++ code")
|
||||
csharp: str = SchemaField(description="Extracted C# code")
|
||||
json_code: str = SchemaField(description="Extracted JSON code")
|
||||
bash: str = SchemaField(description="Extracted Bash code")
|
||||
php: str = SchemaField(description="Extracted PHP code")
|
||||
ruby: str = SchemaField(description="Extracted Ruby code")
|
||||
yaml: str = SchemaField(description="Extracted YAML code")
|
||||
markdown: str = SchemaField(description="Extracted Markdown code")
|
||||
typescript: str = SchemaField(description="Extracted TypeScript code")
|
||||
xml: str = SchemaField(description="Extracted XML code")
|
||||
remaining_text: str = SchemaField(
|
||||
description="Remaining text after code extraction"
|
||||
)
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="d3a7d896-3b78-4f44-8b4b-48fbf4f0bcd8",
|
||||
description="Extracts code blocks from text and identifies their programming languages",
|
||||
categories={BlockCategory.TEXT},
|
||||
input_schema=CodeExtractionBlock.Input,
|
||||
output_schema=CodeExtractionBlock.Output,
|
||||
test_input={
|
||||
"text": "Here's a Python example:\n```python\nprint('Hello World')\n```\nAnd some HTML:\n```html\n<h1>Title</h1>\n```"
|
||||
},
|
||||
test_output=[
|
||||
("html", "<h1>Title</h1>"),
|
||||
("python", "print('Hello World')"),
|
||||
("remaining_text", "Here's a Python example:\nAnd some HTML:"),
|
||||
],
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
# List of supported programming languages with mapped aliases
|
||||
language_aliases = {
|
||||
"html": ["html", "htm"],
|
||||
"css": ["css"],
|
||||
"javascript": ["javascript", "js"],
|
||||
"python": ["python", "py"],
|
||||
"sql": ["sql"],
|
||||
"java": ["java"],
|
||||
"cpp": ["cpp", "c++"],
|
||||
"csharp": ["csharp", "c#", "cs"],
|
||||
"json_code": ["json"],
|
||||
"bash": ["bash", "shell", "sh"],
|
||||
"php": ["php"],
|
||||
"ruby": ["ruby", "rb"],
|
||||
"yaml": ["yaml", "yml"],
|
||||
"markdown": ["markdown", "md"],
|
||||
"typescript": ["typescript", "ts"],
|
||||
"xml": ["xml"],
|
||||
}
|
||||
|
||||
# Extract code for each language
|
||||
for canonical_name, aliases in language_aliases.items():
|
||||
code = ""
|
||||
# Try each alias for the language
|
||||
for alias in aliases:
|
||||
code_for_alias = self.extract_code(input_data.text, alias)
|
||||
if code_for_alias:
|
||||
code = code + "\n\n" + code_for_alias if code else code_for_alias
|
||||
|
||||
if code: # Only yield if there's actual code content
|
||||
yield canonical_name, code
|
||||
|
||||
# Remove all code blocks from the text to get remaining text
|
||||
pattern = (
|
||||
r"```(?:"
|
||||
+ "|".join(
|
||||
re.escape(alias)
|
||||
for aliases in language_aliases.values()
|
||||
for alias in aliases
|
||||
)
|
||||
+ r")\s+[\s\S]*?```"
|
||||
)
|
||||
|
||||
remaining_text = re.sub(pattern, "", input_data.text).strip()
|
||||
remaining_text = re.sub(r"\n\s*\n", "\n", remaining_text)
|
||||
|
||||
if remaining_text: # Only yield if there's remaining text
|
||||
yield "remaining_text", remaining_text
|
||||
|
||||
def extract_code(self, text: str, language: str) -> str:
|
||||
# Escape special regex characters in the language string
|
||||
language = re.escape(language)
|
||||
# Extract all code blocks enclosed in ```language``` blocks
|
||||
pattern = re.compile(rf"```{language}\s+(.*?)```", re.DOTALL | re.IGNORECASE)
|
||||
matches = pattern.finditer(text)
|
||||
# Combine all code blocks for this language with newlines between them
|
||||
code_blocks = [match.group(1).strip() for match in matches]
|
||||
return "\n\n".join(code_blocks) if code_blocks else ""
|
||||
|
|
@ -1,59 +0,0 @@
|
|||
from pydantic import BaseModel
|
||||
|
||||
from backend.data.block import (
|
||||
Block,
|
||||
BlockCategory,
|
||||
BlockManualWebhookConfig,
|
||||
BlockOutput,
|
||||
BlockSchema,
|
||||
)
|
||||
from backend.data.model import SchemaField
|
||||
from backend.integrations.webhooks.compass import CompassWebhookType
|
||||
|
||||
|
||||
class Transcription(BaseModel):
|
||||
text: str
|
||||
speaker: str
|
||||
end: float
|
||||
start: float
|
||||
duration: float
|
||||
|
||||
|
||||
class TranscriptionDataModel(BaseModel):
|
||||
date: str
|
||||
transcription: str
|
||||
transcriptions: list[Transcription]
|
||||
|
||||
|
||||
class CompassAITriggerBlock(Block):
|
||||
class Input(BlockSchema):
|
||||
payload: TranscriptionDataModel = SchemaField(hidden=True)
|
||||
|
||||
class Output(BlockSchema):
|
||||
transcription: str = SchemaField(
|
||||
description="The contents of the compass transcription."
|
||||
)
|
||||
|
||||
def __init__(self):
|
||||
super().__init__(
|
||||
id="9464a020-ed1d-49e1-990f-7f2ac924a2b7",
|
||||
description="This block will output the contents of the compass transcription.",
|
||||
categories={BlockCategory.HARDWARE},
|
||||
input_schema=CompassAITriggerBlock.Input,
|
||||
output_schema=CompassAITriggerBlock.Output,
|
||||
webhook_config=BlockManualWebhookConfig(
|
||||
provider="compass",
|
||||
webhook_type=CompassWebhookType.TRANSCRIPTION,
|
||||
),
|
||||
test_input=[
|
||||
{"input": "Hello, World!"},
|
||||
{"input": "Hello, World!", "data": "Existing Data"},
|
||||
],
|
||||
# test_output=[
|
||||
# ("output", "Hello, World!"), # No data provided, so trigger is returned
|
||||
# ("output", "Existing Data"), # Data is provided, so data is returned.
|
||||
# ],
|
||||
)
|
||||
|
||||
def run(self, input_data: Input, **kwargs) -> BlockOutput:
|
||||
yield "transcription", input_data.payload.transcription
|
||||
Some files were not shown because too many files have changed in this diff Show More
Loading…
Reference in New Issue