Merge branch 'main' into hy/better_lint_ci

pull/17874/head
-LAN- 1 year ago committed by GitHub
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@ -34,4 +34,4 @@ if you see such error message when you open this project in codespaces:
![Alt text](troubleshooting.png)
a simple workaround is change `/signin` endpoint into another one, then login with GitHub account and close the tab, then change it back to `/signin` endpoint. Then all things will be fine.
The reason is `signin` endpoint is not allowed in codespaces, details can be found [here](https://github.com/orgs/community/discussions/5204)
The reason is `signin` endpoint is not allowed in codespaces, details can be found [here](https://github.com/orgs/community/discussions/5204)

@ -2,7 +2,7 @@
// README at: https://github.com/devcontainers/templates/tree/main/src/anaconda
{
"name": "Python 3.12",
"build": {
"build": {
"context": "..",
"dockerfile": "Dockerfile"
},

@ -1,3 +1,3 @@
This file copied into the container along with environment.yml* from the parent
folder. This file is included to prevents the Dockerfile COPY instruction from
failing if no environment.yml is found.
folder. This file is included to prevents the Dockerfile COPY instruction from
failing if no environment.yml is found.

@ -2,10 +2,10 @@
npm add -g pnpm@10.8.0
cd web && pnpm install
pipx install poetry
pipx install uv
echo 'alias start-api="cd /workspaces/dify/api && poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
echo 'alias start-worker="cd /workspaces/dify/api && poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion"' >> ~/.bashrc
echo 'alias start-api="cd /workspaces/dify/api && uv run python -m flask run --host 0.0.0.0 --port=5001 --debug"' >> ~/.bashrc
echo 'alias start-worker="cd /workspaces/dify/api && uv run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion"' >> ~/.bashrc
echo 'alias start-web="cd /workspaces/dify/web && pnpm dev"' >> ~/.bashrc
echo 'alias start-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env up -d"' >> ~/.bashrc
echo 'alias stop-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env down"' >> ~/.bashrc

@ -1,3 +1,3 @@
#!/bin/bash
cd api && poetry install
cd api && uv sync

@ -5,18 +5,35 @@ root = true
# Unix-style newlines with a newline ending every file
[*]
charset = utf-8
end_of_line = lf
insert_final_newline = true
trim_trailing_whitespace = true
[*.py]
indent_size = 4
indent_style = space
[*.{yml,yaml}]
indent_style = space
indent_size = 2
[*.toml]
indent_size = 4
indent_style = space
# Markdown and MDX are whitespace sensitive languages.
# Do not remove trailing spaces.
[*.{md,mdx}]
trim_trailing_whitespace = false
# Matches multiple files with brace expansion notation
# Set default charset
[*.{js,tsx}]
charset = utf-8
indent_style = space
indent_size = 2
# Matches the exact files either package.json or .travis.yml
[{package.json,.travis.yml}]
# Matches the exact files package.json
[package.json]
indent_style = space
indent_size = 2

2
.gitattributes vendored

@ -1,5 +1,5 @@
# Ensure that .sh scripts use LF as line separator, even if they are checked out
# to Windows(NTFS) file-system, by a user of Docker for Windows.
# to Windows(NTFS) file-system, by a user of Docker for Windows.
# These .sh scripts will be run from the Container after `docker compose up -d`.
# If they appear to be CRLF style, Dash from the Container will fail to execute
# them.

@ -1,36 +0,0 @@
name: Setup Poetry and Python
inputs:
python-version:
description: Python version to use and the Poetry installed with
required: true
default: '3.11'
poetry-version:
description: Poetry version to set up
required: true
default: '2.0.1'
poetry-lockfile:
description: Path to the Poetry lockfile to restore cache from
required: true
default: ''
runs:
using: composite
steps:
- name: Set up Python ${{ inputs.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ inputs.python-version }}
cache: pip
- name: Install Poetry
shell: bash
run: pip install poetry==${{ inputs.poetry-version }}
- name: Restore Poetry cache
if: ${{ inputs.poetry-lockfile != '' }}
uses: actions/setup-python@v5
with:
python-version: ${{ inputs.python-version }}
cache: poetry
cache-dependency-path: ${{ inputs.poetry-lockfile }}

@ -0,0 +1,34 @@
name: Setup UV and Python
inputs:
python-version:
description: Python version to use and the UV installed with
required: true
default: '3.12'
uv-version:
description: UV version to set up
required: true
default: '0.6.14'
uv-lockfile:
description: Path to the UV lockfile to restore cache from
required: true
default: ''
enable-cache:
required: true
default: true
runs:
using: composite
steps:
- name: Set up Python ${{ inputs.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ inputs.python-version }}
- name: Install uv
uses: astral-sh/setup-uv@v5
with:
version: ${{ inputs.uv-version }}
python-version: ${{ inputs.python-version }}
enable-cache: ${{ inputs.enable-cache }}
cache-dependency-glob: ${{ inputs.uv-lockfile }}

@ -0,0 +1,22 @@
{
"Verbose": false,
"Debug": false,
"IgnoreDefaults": false,
"SpacesAfterTabs": false,
"NoColor": false,
"Exclude": [
"^web/public/vs/",
"^web/public/pdf.worker.min.mjs$",
"web/app/components/base/icons/src/vender/"
],
"AllowedContentTypes": [],
"PassedFiles": [],
"Disable": {
"EndOfLine": false,
"Indentation": false,
"IndentSize": true,
"InsertFinalNewline": false,
"TrimTrailingWhitespace": false,
"MaxLineLength": false
}
}

@ -17,6 +17,9 @@ jobs:
test:
name: API Tests
runs-on: ubuntu-latest
defaults:
run:
shell: bash
strategy:
matrix:
python-version:
@ -27,40 +30,44 @@ jobs:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Setup Poetry and Python ${{ matrix.python-version }}
uses: ./.github/actions/setup-poetry
- name: Setup UV and Python
uses: ./.github/actions/setup-uv
with:
python-version: ${{ matrix.python-version }}
poetry-lockfile: api/poetry.lock
uv-lockfile: api/uv.lock
- name: Check Poetry lockfile
run: |
poetry check -C api --lock
poetry show -C api
- name: Check UV lockfile
run: uv lock --project api --check
- name: Install dependencies
run: poetry install -C api --with dev
- name: Check dependencies in pyproject.toml
run: poetry run -P api bash dev/pytest/pytest_artifacts.sh
run: uv sync --project api --dev
- name: Run Unit tests
run: poetry run -P api bash dev/pytest/pytest_unit_tests.sh
run: |
uv run --project api bash dev/pytest/pytest_unit_tests.sh
# Extract coverage percentage and create a summary
TOTAL_COVERAGE=$(python -c 'import json; print(json.load(open("coverage.json"))["totals"]["percent_covered_display"])')
# Create a detailed coverage summary
echo "### Test Coverage Summary :test_tube:" >> $GITHUB_STEP_SUMMARY
echo "Total Coverage: ${TOTAL_COVERAGE}%" >> $GITHUB_STEP_SUMMARY
echo "\`\`\`" >> $GITHUB_STEP_SUMMARY
uv run --project api coverage report >> $GITHUB_STEP_SUMMARY
echo "\`\`\`" >> $GITHUB_STEP_SUMMARY
- name: Run dify config tests
run: poetry run -P api python dev/pytest/pytest_config_tests.py
run: uv run --project api dev/pytest/pytest_config_tests.py
- name: Cache MyPy
- name: MyPy Cache
uses: actions/cache@v4
with:
path: api/.mypy_cache
key: mypy-${{ matrix.python-version }}-${{ runner.os }}-${{ hashFiles('api/poetry.lock') }}
key: mypy-${{ matrix.python-version }}-${{ runner.os }}-${{ hashFiles('api/uv.lock') }}
- name: Run mypy
run: dev/run-mypy
- name: Run MyPy Checks
run: dev/mypy-check
- name: Set up dotenvs
run: |
@ -80,4 +87,4 @@ jobs:
ssrf_proxy
- name: Run Workflow
run: poetry run -P api bash dev/pytest/pytest_workflow.sh
run: uv run --project api bash dev/pytest/pytest_workflow.sh

@ -24,13 +24,13 @@ jobs:
fetch-depth: 0
persist-credentials: false
- name: Setup Poetry and Python
uses: ./.github/actions/setup-poetry
- name: Setup UV and Python
uses: ./.github/actions/setup-uv
with:
poetry-lockfile: api/poetry.lock
uv-lockfile: api/uv.lock
- name: Install dependencies
run: poetry install -C api
run: uv sync --project api
- name: Prepare middleware env
run: |
@ -54,6 +54,4 @@ jobs:
- name: Run DB Migration
env:
DEBUG: true
run: |
cd api
poetry run python -m flask upgrade-db
run: uv run --directory api flask upgrade-db

@ -42,6 +42,7 @@ jobs:
with:
push: false
context: "{{defaultContext}}:${{ matrix.context }}"
file: "${{ matrix.file }}"
platforms: ${{ matrix.platform }}
cache-from: type=gha
cache-to: type=gha,mode=max

@ -9,6 +9,12 @@ concurrency:
group: style-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
permissions:
checks: write
statuses: write
contents: read
jobs:
python-style:
name: Python Style
@ -18,7 +24,6 @@ jobs:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files
@ -29,24 +34,27 @@ jobs:
api/**
.github/workflows/style.yml
- name: Setup Poetry and Python
- name: Setup UV and Python
if: steps.changed-files.outputs.any_changed == 'true'
uses: ./.github/actions/setup-poetry
uses: ./.github/actions/setup-uv
with:
uv-lockfile: api/uv.lock
enable-cache: false
- name: Install dependencies
if: steps.changed-files.outputs.any_changed == 'true'
run: poetry install -C api --only lint
run: uv sync --project api --dev
- name: Ruff check
if: steps.changed-files.outputs.any_changed == 'true'
run: |
poetry run -C api ruff --version
poetry run -C api ruff check ./ --diff
poetry run -C api ruff format --check ./ --diff
uv run --directory api ruff --version
uv run --directory api ruff check --diff ./
uv run --directory api ruff format --check --diff ./
- name: Dotenv check
if: steps.changed-files.outputs.any_changed == 'true'
run: poetry run -P api dotenv-linter ./api/.env.example ./web/.env.example
run: uv run --project api dotenv-linter ./api/.env.example ./web/.env.example
- name: Lint hints
if: failure()
@ -63,7 +71,6 @@ jobs:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files
@ -102,7 +109,6 @@ jobs:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files
@ -133,7 +139,6 @@ jobs:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files
@ -164,3 +169,14 @@ jobs:
VALIDATE_DOCKERFILE_HADOLINT: true
VALIDATE_XML: true
VALIDATE_YAML: true
- name: EditorConfig checks
uses: super-linter/super-linter/slim@v7
env:
DEFAULT_BRANCH: main
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
IGNORE_GENERATED_FILES: true
IGNORE_GITIGNORED_FILES: true
# EditorConfig validation
VALIDATE_EDITORCONFIG: true
EDITORCONFIG_FILE_NAME: editorconfig-checker.json

@ -27,7 +27,6 @@ jobs:
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Use Node.js ${{ matrix.node-version }}

@ -8,7 +8,7 @@ on:
- api/core/rag/datasource/**
- docker/**
- .github/workflows/vdb-tests.yml
- api/poetry.lock
- api/uv.lock
- api/pyproject.toml
concurrency:
@ -29,22 +29,19 @@ jobs:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Setup Poetry and Python ${{ matrix.python-version }}
uses: ./.github/actions/setup-poetry
- name: Setup UV and Python
uses: ./.github/actions/setup-uv
with:
python-version: ${{ matrix.python-version }}
poetry-lockfile: api/poetry.lock
uv-lockfile: api/uv.lock
- name: Check Poetry lockfile
run: |
poetry check -C api --lock
poetry show -C api
- name: Check UV lockfile
run: uv lock --project api --check
- name: Install dependencies
run: poetry install -C api --with dev
run: uv sync --project api --dev
- name: Set up dotenvs
run: |
@ -80,7 +77,7 @@ jobs:
elasticsearch
- name: Check TiDB Ready
run: poetry run -P api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
run: uv run --project api python api/tests/integration_tests/vdb/tidb_vector/check_tiflash_ready.py
- name: Test Vector Stores
run: poetry run -P api bash dev/pytest/pytest_vdb.sh
run: uv run --project api bash dev/pytest/pytest_vdb.sh

@ -23,7 +23,6 @@ jobs:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0
persist-credentials: false
- name: Check changed files

1
.gitignore vendored

@ -46,6 +46,7 @@ htmlcov/
.cache
nosetests.xml
coverage.xml
coverage.json
*.cover
*.py,cover
.hypothesis/

@ -6,7 +6,7 @@
本指南和 Dify 一样在不断完善中。如果有任何滞后于项目实际情况的地方,恳请谅解,我们也欢迎任何改进建议。
关于许可证,请花一分钟阅读我们简短的[许可和贡献者协议](./LICENSE)。社区同时也遵循[行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。
关于许可证,请花一分钟阅读我们简短的[许可和贡献者协议](./LICENSE)。同时也遵循社区[行为准则](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)。
## 开始之前

@ -90,4 +90,4 @@ Recomendamos revisar este documento cuidadosamente antes de proceder con la conf
No dudes en contactarnos si encuentras algún problema durante el proceso de configuración.
## Obteniendo Ayuda
Si alguna vez te quedas atascado o tienes una pregunta urgente mientras contribuyes, simplemente envíanos tus consultas a través del issue relacionado de GitHub, o únete a nuestro [Discord](https://discord.gg/8Tpq4AcN9c) para una charla rápida.
Si alguna vez te quedas atascado o tienes una pregunta urgente mientras contribuyes, simplemente envíanos tus consultas a través del issue relacionado de GitHub, o únete a nuestro [Discord](https://discord.gg/8Tpq4AcN9c) para una charla rápida.

@ -90,4 +90,4 @@ Nous recommandons de revoir attentivement ce document avant de procéder à la c
N'hésitez pas à nous contacter si vous rencontrez des problèmes pendant le processus de configuration.
## Obtenir de l'aide
Si jamais vous êtes bloqué ou avez une question urgente en contribuant, envoyez-nous simplement vos questions via le problème GitHub concerné, ou rejoignez notre [Discord](https://discord.gg/8Tpq4AcN9c) pour une discussion rapide.
Si jamais vous êtes bloqué ou avez une question urgente en contribuant, envoyez-nous simplement vos questions via le problème GitHub concerné, ou rejoignez notre [Discord](https://discord.gg/8Tpq4AcN9c) pour une discussion rapide.

@ -90,4 +90,4 @@ PR 설명에 기존 이슈를 연결하거나 새 이슈를 여는 것을 잊지
설정 과정에서 문제가 발생하면 언제든지 연락해 주세요.
## 도움 받기
기여하는 동안 막히거나 긴급한 질문이 있으면, 관련 GitHub 이슈를 통해 질문을 보내거나, 빠른 대화를 위해 우리의 [Discord](https://discord.gg/8Tpq4AcN9c)에 참여하세요.
기여하는 동안 막히거나 긴급한 질문이 있으면, 관련 GitHub 이슈를 통해 질문을 보내거나, 빠른 대화를 위해 우리의 [Discord](https://discord.gg/8Tpq4AcN9c)에 참여하세요.

@ -90,4 +90,4 @@ Recomendamos revisar este documento cuidadosamente antes de prosseguir com a con
Sinta-se à vontade para entrar em contato se encontrar quaisquer problemas durante o processo de configuração.
## Obtendo Ajuda
Se você ficar preso ou tiver uma dúvida urgente enquanto contribui, simplesmente envie suas perguntas através do problema relacionado no GitHub, ou entre no nosso [Discord](https://discord.gg/8Tpq4AcN9c) para uma conversa rápida.
Se você ficar preso ou tiver uma dúvida urgente enquanto contribui, simplesmente envie suas perguntas através do problema relacionado no GitHub, ou entre no nosso [Discord](https://discord.gg/8Tpq4AcN9c) para uma conversa rápida.

@ -90,4 +90,4 @@ Kuruluma geçmeden önce bu belgeyi dikkatlice incelemenizi öneririz, çünkü
Kurulum süreci sırasında herhangi bir sorunla karşılaşırsanız bizimle iletişime geçmekten çekinmeyin.
## Yardım Almak
Katkıda bulunurken takılırsanız veya yanıcı bir sorunuz olursa, sorularınızı ilgili GitHub sorunu aracılığıyla bize gönderin veya hızlı bir sohbet için [Discord'umuza](https://discord.gg/8Tpq4AcN9c) katılın.
Katkıda bulunurken takılırsanız veya yanıcı bir sorunuz olursa, sorularınızı ilgili GitHub sorunu aracılığıyla bize gönderin veya hızlı bir sohbet için [Discord'umuza](https://discord.gg/8Tpq4AcN9c) katılın.

@ -8,7 +8,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
<a href="https://docs.dify.ai">Documentation</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Enterprise inquiry</a>
<a href="https://dify.ai/pricing">Dify edition overview</a>
</p>
<p align="center">
@ -54,7 +54,7 @@
<a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
</p>
Dify is an open-source LLM app development platform. Its intuitive interface combines agentic AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
Dify is an open-source LLM app development platform. Its intuitive interface combines agentic AI workflow, RAG pipeline, agent capabilities, model management, observability features, and more, allowing you to quickly move from prototype to production.
## Quick start
@ -188,7 +188,7 @@ All of Dify's offerings come with corresponding APIs, so you could effortlessly
- **Dify for enterprise / organizations</br>**
We provide additional enterprise-centric features. [Log your questions for us through this chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. </br>
> For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one-click. It's an affordable AMI offering with the option to create apps with custom logo and branding.
> For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) and deploy it to your own AWS VPC with one click. It's an affordable AMI offering with the option to create apps with custom logo and branding.
## Staying ahead
@ -233,7 +233,7 @@ Deploy Dify to AWS with [CDK](https://aws.amazon.com/cdk/)
For those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.
> We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
> We are looking for contributors to help translate Dify into languages other than Mandarin or English. If you are interested in helping, please see the [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).
## Community & contact

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">الاستضافة الذاتية</a> ·
<a href="https://docs.dify.ai">التوثيق</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">استفسار الشركات (للإنجليزية فقط)</a>
<a href="https://dify.ai/pricing">نظرة عامة على منتجات Dify</a>
</p>
<p align="center">

@ -8,7 +8,7 @@
<a href="https://cloud.dify.ai">ডিফাই ক্লাউড</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">সেল্ফ-হোস্টিং</a> ·
<a href="https://docs.dify.ai">ডকুমেন্টেশন</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">ব্যাবসায়িক অনুসন্ধান</a>
<a href="https://dify.ai/pricing">Dify পণ্যের রূপভেদ</a>
</p>
<p align="center">

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify 云服务</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">自托管</a> ·
<a href="https://docs.dify.ai">文档</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">(需用英文)常见问题解答 / 联系团队</a>
<a href="https://dify.ai/pricing">Dify 产品形态总览</a>
</div>
<p align="center">

@ -8,7 +8,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Selbstgehostetes</a> ·
<a href="https://docs.dify.ai">Dokumentation</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Anfrage an Unternehmen</a>
<a href="https://dify.ai/pricing">Überblick über die Dify-Produkte</a>
</p>
<p align="center">

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-alojamiento</a> ·
<a href="https://docs.dify.ai">Documentación</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Consultas empresariales (en inglés)</a>
<a href="https://dify.ai/pricing">Resumen de las ediciones de Dify</a>
</p>
<p align="center">

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-hébergement</a> ·
<a href="https://docs.dify.ai">Documentation</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Demande dentreprise (en anglais seulement)</a>
<a href="https://dify.ai/pricing">Présentation des différentes offres Dify</a>
</p>
<p align="center">

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">セルフホスティング</a> ·
<a href="https://docs.dify.ai">ドキュメント</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">企業のお問い合わせ(英語のみ)</a>
<a href="https://dify.ai/pricing">Difyの各種エディションについて</a>
</p>
<p align="center">

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> ·
<a href="https://docs.dify.ai">Documentation</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Commercial enquiries</a>
<a href="https://dify.ai/pricing">Dify product editions</a>
</p>
<p align="center">

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify 클라우드</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">셀프-호스팅</a> ·
<a href="https://docs.dify.ai">문서</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">기업 문의 (영어만 가능)</a>
<a href="https://dify.ai/pricing">Dify 제품 에디션 안내</a>
</p>
<p align="center">

@ -8,7 +8,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Auto-hospedagem</a> ·
<a href="https://docs.dify.ai">Documentação</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Consultas empresariais</a>
<a href="https://dify.ai/pricing">Visão geral das edições do Dify</a>
</p>
<p align="center">

@ -1,259 +1,259 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Predstavljamo nalaganje datotek Dify Workflow: znova ustvarite Google NotebookLM Podcast</a>
</p>
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Samostojno gostovanje</a> ·
<a href="https://docs.dify.ai">Dokumentacija</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Povpraševanje za podjetja</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat on Discord"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="follow on X(Twitter)"></a>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
<img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
<a href="https://github.com/langgenius/dify/" target="_blank">
<img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
<img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
<a href="./README_SI.md"><img alt="README Slovenščina" src="https://img.shields.io/badge/Sloven%C5%A1%C4%8Dina-d9d9d9"></a>
<a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
</p>
Dify je odprtokodna platforma za razvoj aplikacij LLM. Njegov intuitivni vmesnik združuje agentski potek dela z umetno inteligenco, cevovod RAG, zmogljivosti agentov, upravljanje modelov, funkcije opazovanja in več, kar vam omogoča hiter prehod od prototipa do proizvodnje.
## Hitri začetek
> Preden namestite Dify, se prepričajte, da vaša naprava izpolnjuje naslednje minimalne sistemske zahteve:
>
>- CPU >= 2 Core
>- RAM >= 4 GiB
</br>
Najlažji način za zagon strežnika Dify je prek docker compose . Preden zaženete Dify z naslednjimi ukazi, se prepričajte, da sta Docker in Docker Compose nameščena na vašem računalniku:
```bash
cd dify
cd docker
cp .env.example .env
docker compose up -d
```
Po zagonu lahko dostopate do nadzorne plošče Dify v brskalniku na [http://localhost/install](http://localhost/install) in začnete postopek inicializacije.
#### Iskanje pomoči
Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) če naletite na težave pri nastavitvi Dify. Če imate še vedno težave, se obrnite na [skupnost ali nas](#community--contact).
> Če želite prispevati k Difyju ali narediti dodaten razvoj, glejte naš vodnik za [uvajanje iz izvorne kode](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
## Ključne značilnosti
**1. Potek dela**:
Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Celovita podpora za modele**:
Brezhibna integracija s stotinami lastniških/odprtokodnih LLM-jev ducatov ponudnikov sklepanja in samostojnih rešitev, ki pokrivajo GPT, Mistral, Llama3 in vse modele, združljive z API-jem OpenAI. Celoten seznam podprtih ponudnikov modelov najdete [tukaj](https://docs.dify.ai/getting-started/readme/model-providers).
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. Prompt IDE**:
intuitivni vmesnik za ustvarjanje pozivov, primerjavo zmogljivosti modela in dodajanje dodatnih funkcij, kot je pretvorba besedila v govor, aplikaciji, ki temelji na klepetu.
**4. RAG Pipeline**:
E Obsežne zmogljivosti RAG, ki pokrivajo vse od vnosa dokumenta do priklica, s podporo za ekstrakcijo besedila iz datotek PDF, PPT in drugih običajnih formatov dokumentov.
**5. Agent capabilities**:
definirate lahko agente, ki temeljijo na klicanju funkcij LLM ali ReAct, in dodate vnaprej izdelana orodja ali orodja po meri za agenta. Dify ponuja več kot 50 vgrajenih orodij za agente AI, kot so Google Search, DALL·E, Stable Diffusion in WolframAlpha.
**6. LLMOps**:
Spremljajte in analizirajte dnevnike aplikacij in učinkovitost skozi čas. Pozive, nabore podatkov in modele lahko nenehno izboljšujete na podlagi proizvodnih podatkov in opomb.
**7. Backend-as-a-Service**:
AVse ponudbe Difyja so opremljene z ustreznimi API-ji, tako da lahko Dify brez težav integrirate v svojo poslovno logiko.
## Primerjava Funkcij
<table style="width: 100%;">
<tr>
<th align="center">Funkcija</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistants API</th>
</tr>
<tr>
<td align="center">Programski pristop</td>
<td align="center">API + usmerjeno v aplikacije</td>
<td align="center">Python koda</td>
<td align="center">Usmerjeno v aplikacije</td>
<td align="center">Usmerjeno v API</td>
</tr>
<tr>
<td align="center">Podprti LLM-ji</td>
<td align="center">Bogata izbira</td>
<td align="center">Bogata izbira</td>
<td align="center">Bogata izbira</td>
<td align="center">Samo OpenAI</td>
</tr>
<tr>
<td align="center">RAG pogon</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Agent</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Potek dela</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Spremljanje</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Funkcija za podjetja (SSO/nadzor dostopa)</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Lokalna namestitev</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
</table>
## Uporaba Dify
- **Cloud </br>**
Gostimo storitev Dify Cloud za vsakogar, ki jo lahko preizkusite brez nastavitev. Zagotavlja vse zmožnosti različice za samostojno namestitev in vključuje 200 brezplačnih klicev GPT-4 v načrtu peskovnika.
- **Self-hosting Dify Community Edition</br>**
Hitro zaženite Dify v svojem okolju s tem [začetnim vodnikom](#quick-start) . Za dodatne reference in podrobnejša navodila uporabite našo [dokumentacijo](https://docs.dify.ai) .
- **Dify za podjetja/organizacije</br>**
Ponujamo dodatne funkcije, osredotočene na podjetja. Zabeležite svoja vprašanja prek tega klepetalnega robota ali nam pošljite e-pošto, da se pogovorimo o potrebah podjetja. </br>
> Za novoustanovljena podjetja in mala podjetja, ki uporabljajo AWS, si oglejte Dify Premium na AWS Marketplace in ga z enim klikom uvedite v svoj AWS VPC. To je cenovno ugodna ponudba AMI z možnostjo ustvarjanja aplikacij z logotipom in blagovno znamko po meri.
## Staying ahead
Star Dify on GitHub and be instantly notified of new releases.
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## Napredne nastavitve
Če morate prilagoditi konfiguracijo, si oglejte komentarje v naši datoteki .env.example in posodobite ustrezne vrednosti v svoji .env datoteki. Poleg tega boste morda morali prilagoditi docker-compose.yamlsamo datoteko, na primer spremeniti različice slike, preslikave vrat ali namestitve nosilca, glede na vaše specifično okolje in zahteve za uvajanje. Po kakršnih koli spremembah ponovno zaženite docker-compose up -d. Celoten seznam razpoložljivih spremenljivk okolja najdete tukaj .
Če želite konfigurirati visoko razpoložljivo nastavitev, so na voljo Helm Charts in datoteke YAML, ki jih prispeva skupnost, ki omogočajo uvedbo Difyja v Kubernetes.
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
#### Uporaba Terraform za uvajanje
namestite Dify v Cloud Platform z enim klikom z uporabo [terraform](https://www.terraform.io/)
##### Azure Global
- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
##### Google Cloud
- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
#### Uporaba AWS CDK za uvajanje
Uvedite Dify v AWS z uporabo [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## Prispevam
Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkrati vas prosimo, da podprete Dify tako, da ga delite na družbenih medijih ter na dogodkih in konferencah.
> Iščemo sodelavce za pomoč pri prevajanju Difyja v jezike, ki niso mandarinščina ali angleščina. Če želite pomagati, si oglejte i18n README za več informacij in nam pustite komentar v global-userskanalu našega strežnika skupnosti Discord .
## Skupnost in stik
* [Github Discussion](https://github.com/langgenius/dify/discussions). Najboljše za: izmenjavo povratnih informacij in postavljanje vprašanj.
* [GitHub Issues](https://github.com/langgenius/dify/issues). Najboljše za: hrošče, na katere naletite pri uporabi Dify.AI, in predloge funkcij. Oglejte si naš [vodnik za prispevke](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Discord](https://discord.gg/FngNHpbcY7). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
* [X(Twitter)](https://twitter.com/dify_ai). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
**Contributors**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## Star history
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Varnostno razkritje
Zaradi zaščite vaše zasebnosti se izogibajte objavljanju varnostnih vprašanj na GitHub. Namesto tega pošljite vprašanja na security@dify.ai in zagotovili vam bomo podrobnejši odgovor.
## Licenca
To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami.
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
<p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Predstavljamo nalaganje datotek Dify Workflow: znova ustvarite Google NotebookLM Podcast</a>
</p>
<p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Samostojno gostovanje</a> ·
<a href="https://docs.dify.ai">Dokumentacija</a> ·
<a href="https://dify.ai/pricing">Pregled ponudb izdelkov Dify</a>
</p>
<p align="center">
<a href="https://dify.ai" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
alt="chat on Discord"></a>
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
alt="follow on X(Twitter)"></a>
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
alt="follow on LinkedIn"></a>
<a href="https://hub.docker.com/u/langgenius" target="_blank">
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
<img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
<a href="https://github.com/langgenius/dify/" target="_blank">
<img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
<img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
</p>
<p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
<a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
<a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
<a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
<a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
<a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
<a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
<a href="./README_SI.md"><img alt="README Slovenščina" src="https://img.shields.io/badge/Sloven%C5%A1%C4%8Dina-d9d9d9"></a>
<a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
</p>
Dify je odprtokodna platforma za razvoj aplikacij LLM. Njegov intuitivni vmesnik združuje agentski potek dela z umetno inteligenco, cevovod RAG, zmogljivosti agentov, upravljanje modelov, funkcije opazovanja in več, kar vam omogoča hiter prehod od prototipa do proizvodnje.
## Hitri začetek
> Preden namestite Dify, se prepričajte, da vaša naprava izpolnjuje naslednje minimalne sistemske zahteve:
>
>- CPU >= 2 Core
>- RAM >= 4 GiB
</br>
Najlažji način za zagon strežnika Dify je prek docker compose . Preden zaženete Dify z naslednjimi ukazi, se prepričajte, da sta Docker in Docker Compose nameščena na vašem računalniku:
```bash
cd dify
cd docker
cp .env.example .env
docker compose up -d
```
Po zagonu lahko dostopate do nadzorne plošče Dify v brskalniku na [http://localhost/install](http://localhost/install) in začnete postopek inicializacije.
#### Iskanje pomoči
Prosimo, glejte naša pogosta vprašanja [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) če naletite na težave pri nastavitvi Dify. Če imate še vedno težave, se obrnite na [skupnost ali nas](#community--contact).
> Če želite prispevati k Difyju ali narediti dodaten razvoj, glejte naš vodnik za [uvajanje iz izvorne kode](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)
## Ključne značilnosti
**1. Potek dela**:
Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Celovita podpora za modele**:
Brezhibna integracija s stotinami lastniških/odprtokodnih LLM-jev ducatov ponudnikov sklepanja in samostojnih rešitev, ki pokrivajo GPT, Mistral, Llama3 in vse modele, združljive z API-jem OpenAI. Celoten seznam podprtih ponudnikov modelov najdete [tukaj](https://docs.dify.ai/getting-started/readme/model-providers).
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**3. Prompt IDE**:
intuitivni vmesnik za ustvarjanje pozivov, primerjavo zmogljivosti modela in dodajanje dodatnih funkcij, kot je pretvorba besedila v govor, aplikaciji, ki temelji na klepetu.
**4. RAG Pipeline**:
E Obsežne zmogljivosti RAG, ki pokrivajo vse od vnosa dokumenta do priklica, s podporo za ekstrakcijo besedila iz datotek PDF, PPT in drugih običajnih formatov dokumentov.
**5. Agent capabilities**:
definirate lahko agente, ki temeljijo na klicanju funkcij LLM ali ReAct, in dodate vnaprej izdelana orodja ali orodja po meri za agenta. Dify ponuja več kot 50 vgrajenih orodij za agente AI, kot so Google Search, DALL·E, Stable Diffusion in WolframAlpha.
**6. LLMOps**:
Spremljajte in analizirajte dnevnike aplikacij in učinkovitost skozi čas. Pozive, nabore podatkov in modele lahko nenehno izboljšujete na podlagi proizvodnih podatkov in opomb.
**7. Backend-as-a-Service**:
AVse ponudbe Difyja so opremljene z ustreznimi API-ji, tako da lahko Dify brez težav integrirate v svojo poslovno logiko.
## Primerjava Funkcij
<table style="width: 100%;">
<tr>
<th align="center">Funkcija</th>
<th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<th align="center">Flowise</th>
<th align="center">OpenAI Assistants API</th>
</tr>
<tr>
<td align="center">Programski pristop</td>
<td align="center">API + usmerjeno v aplikacije</td>
<td align="center">Python koda</td>
<td align="center">Usmerjeno v aplikacije</td>
<td align="center">Usmerjeno v API</td>
</tr>
<tr>
<td align="center">Podprti LLM-ji</td>
<td align="center">Bogata izbira</td>
<td align="center">Bogata izbira</td>
<td align="center">Bogata izbira</td>
<td align="center">Samo OpenAI</td>
</tr>
<tr>
<td align="center">RAG pogon</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Agent</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Potek dela</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Spremljanje</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Funkcija za podjetja (SSO/nadzor dostopa)</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
<tr>
<td align="center">Lokalna namestitev</td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"></td>
</tr>
</table>
## Uporaba Dify
- **Cloud </br>**
Gostimo storitev Dify Cloud za vsakogar, ki jo lahko preizkusite brez nastavitev. Zagotavlja vse zmožnosti različice za samostojno namestitev in vključuje 200 brezplačnih klicev GPT-4 v načrtu peskovnika.
- **Self-hosting Dify Community Edition</br>**
Hitro zaženite Dify v svojem okolju s tem [začetnim vodnikom](#quick-start) . Za dodatne reference in podrobnejša navodila uporabite našo [dokumentacijo](https://docs.dify.ai) .
- **Dify za podjetja/organizacije</br>**
Ponujamo dodatne funkcije, osredotočene na podjetja. Zabeležite svoja vprašanja prek tega klepetalnega robota ali nam pošljite e-pošto, da se pogovorimo o potrebah podjetja. </br>
> Za novoustanovljena podjetja in mala podjetja, ki uporabljajo AWS, si oglejte Dify Premium na AWS Marketplace in ga z enim klikom uvedite v svoj AWS VPC. To je cenovno ugodna ponudba AMI z možnostjo ustvarjanja aplikacij z logotipom in blagovno znamko po meri.
## Staying ahead
Star Dify on GitHub and be instantly notified of new releases.
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
## Napredne nastavitve
Če morate prilagoditi konfiguracijo, si oglejte komentarje v naši datoteki .env.example in posodobite ustrezne vrednosti v svoji .env datoteki. Poleg tega boste morda morali prilagoditi docker-compose.yamlsamo datoteko, na primer spremeniti različice slike, preslikave vrat ali namestitve nosilca, glede na vaše specifično okolje in zahteve za uvajanje. Po kakršnih koli spremembah ponovno zaženite docker-compose up -d. Celoten seznam razpoložljivih spremenljivk okolja najdete tukaj .
Če želite konfigurirati visoko razpoložljivo nastavitev, so na voljo Helm Charts in datoteke YAML, ki jih prispeva skupnost, ki omogočajo uvedbo Difyja v Kubernetes.
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
#### Uporaba Terraform za uvajanje
namestite Dify v Cloud Platform z enim klikom z uporabo [terraform](https://www.terraform.io/)
##### Azure Global
- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
##### Google Cloud
- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
#### Uporaba AWS CDK za uvajanje
Uvedite Dify v AWS z uporabo [CDK](https://aws.amazon.com/cdk/)
##### AWS
- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## Prispevam
Za tiste, ki bi radi prispevali kodo, si oglejte naš vodnik za prispevke . Hkrati vas prosimo, da podprete Dify tako, da ga delite na družbenih medijih ter na dogodkih in konferencah.
> Iščemo sodelavce za pomoč pri prevajanju Difyja v jezike, ki niso mandarinščina ali angleščina. Če želite pomagati, si oglejte i18n README za več informacij in nam pustite komentar v global-userskanalu našega strežnika skupnosti Discord .
## Skupnost in stik
* [Github Discussion](https://github.com/langgenius/dify/discussions). Najboljše za: izmenjavo povratnih informacij in postavljanje vprašanj.
* [GitHub Issues](https://github.com/langgenius/dify/issues). Najboljše za: hrošče, na katere naletite pri uporabi Dify.AI, in predloge funkcij. Oglejte si naš [vodnik za prispevke](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Discord](https://discord.gg/FngNHpbcY7). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
* [X(Twitter)](https://twitter.com/dify_ai). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
**Contributors**
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
## Star history
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
## Varnostno razkritje
Zaradi zaščite vaše zasebnosti se izogibajte objavljanju varnostnih vprašanj na GitHub. Namesto tega pošljite vprašanja na security@dify.ai in zagotovili vam bomo podrobnejši odgovor.
## Licenca
To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami.

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Bulut</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Kendi Sunucunuzda Barındırma</a> ·
<a href="https://docs.dify.ai">Dokümantasyon</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Yalnızca İngilizce: Kurumsal Sorgulama</a>
<a href="https://dify.ai/pricing">Dify ürün seçeneklerine genel bakış</a>
</p>
<p align="center">

@ -8,7 +8,7 @@
<a href="https://cloud.dify.ai">Dify 雲端服務</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">自行託管</a> ·
<a href="https://docs.dify.ai">說明文件</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">企業諮詢</a>
<a href="https://dify.ai/pricing">產品方案概覽</a>
</p>
<p align="center">

@ -4,7 +4,7 @@
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Tự triển khai</a> ·
<a href="https://docs.dify.ai">Tài liệu</a> ·
<a href="https://udify.app/chat/22L1zSxg6yW1cWQg">Yêu cầu doanh nghiệp</a>
<a href="https://dify.ai/pricing">Tổng quan các lựa chọn sản phẩm Dify</a>
</p>
<p align="center">

@ -16,4 +16,4 @@ logs
.ruff_cache
# venv
.venv
.venv

@ -165,6 +165,7 @@ MILVUS_URI=http://127.0.0.1:19530
MILVUS_TOKEN=
MILVUS_USER=root
MILVUS_PASSWORD=Milvus
MILVUS_ANALYZER_PARAMS=
# MyScale configuration
MYSCALE_HOST=127.0.0.1
@ -296,6 +297,7 @@ LINDORM_URL=http://ld-*******************-proxy-search-pub.lindorm.aliyuncs.com:
LINDORM_USERNAME=admin
LINDORM_PASSWORD=admin
USING_UGC_INDEX=False
LINDORM_QUERY_TIMEOUT=1
# OceanBase Vector configuration
OCEANBASE_VECTOR_HOST=127.0.0.1
@ -423,6 +425,12 @@ WORKFLOW_CALL_MAX_DEPTH=5
WORKFLOW_PARALLEL_DEPTH_LIMIT=3
MAX_VARIABLE_SIZE=204800
# Workflow storage configuration
# Options: rdbms, hybrid
# rdbms: Use only the relational database (default)
# hybrid: Save new data to object storage, read from both object storage and RDBMS
WORKFLOW_NODE_EXECUTION_STORAGE=rdbms
# App configuration
APP_MAX_EXECUTION_TIME=1200
APP_MAX_ACTIVE_REQUESTS=0
@ -463,3 +471,19 @@ CREATE_TIDB_SERVICE_JOB_ENABLED=false
MAX_SUBMIT_COUNT=100
# Lockout duration in seconds
LOGIN_LOCKOUT_DURATION=86400
# Enable OpenTelemetry
ENABLE_OTEL=false
OTLP_BASE_ENDPOINT=http://localhost:4318
OTLP_API_KEY=
OTEL_EXPORTER_TYPE=otlp
OTEL_SAMPLING_RATE=0.1
OTEL_BATCH_EXPORT_SCHEDULE_DELAY=5000
OTEL_MAX_QUEUE_SIZE=2048
OTEL_MAX_EXPORT_BATCH_SIZE=512
OTEL_METRIC_EXPORT_INTERVAL=60000
OTEL_BATCH_EXPORT_TIMEOUT=10000
OTEL_METRIC_EXPORT_TIMEOUT=30000
# Prevent Clickjacking
ALLOW_EMBED=false

@ -3,20 +3,11 @@ FROM python:3.12-slim-bookworm AS base
WORKDIR /app/api
# Install Poetry
ENV POETRY_VERSION=2.0.1
# Install uv
ENV UV_VERSION=0.6.14
# if you located in China, you can use aliyun mirror to speed up
# RUN pip install --no-cache-dir poetry==${POETRY_VERSION} -i https://mirrors.aliyun.com/pypi/simple/
RUN pip install --no-cache-dir poetry==${POETRY_VERSION}
RUN pip install --no-cache-dir uv==${UV_VERSION}
# Configure Poetry
ENV POETRY_CACHE_DIR=/tmp/poetry_cache
ENV POETRY_NO_INTERACTION=1
ENV POETRY_VIRTUALENVS_IN_PROJECT=true
ENV POETRY_VIRTUALENVS_CREATE=true
ENV POETRY_REQUESTS_TIMEOUT=15
FROM base AS packages
@ -27,8 +18,8 @@ RUN apt-get update \
&& apt-get install -y --no-install-recommends gcc g++ libc-dev libffi-dev libgmp-dev libmpfr-dev libmpc-dev
# Install Python dependencies
COPY pyproject.toml poetry.lock ./
RUN poetry install --sync --no-cache --no-root
COPY pyproject.toml uv.lock ./
RUN uv sync --locked
# production stage
FROM base AS production

@ -3,7 +3,10 @@
## Usage
> [!IMPORTANT]
> In the v0.6.12 release, we deprecated `pip` as the package management tool for Dify API Backend service and replaced it with `poetry`.
>
> In the v1.3.0 release, `poetry` has been replaced with
> [`uv`](https://docs.astral.sh/uv/) as the package manager
> for Dify API backend service.
1. Start the docker-compose stack
@ -37,19 +40,19 @@
4. Create environment.
Dify API service uses [Poetry](https://python-poetry.org/docs/) to manage dependencies. First, you need to add the poetry shell plugin, if you don't have it already, in order to run in a virtual environment. [Note: Poetry shell is no longer a native command so you need to install the poetry plugin beforehand]
Dify API service uses [UV](https://docs.astral.sh/uv/) to manage dependencies.
First, you need to add the uv package manager, if you don't have it already.
```bash
poetry self add poetry-plugin-shell
pip install uv
# Or on macOS
brew install uv
```
Then, You can execute `poetry shell` to activate the environment.
5. Install dependencies
```bash
poetry env use 3.12
poetry install
uv sync --dev
```
6. Run migrate
@ -57,21 +60,21 @@
Before the first launch, migrate the database to the latest version.
```bash
poetry run python -m flask db upgrade
uv run flask db upgrade
```
7. Start backend
```bash
poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug
uv run flask run --host 0.0.0.0 --port=5001 --debug
```
8. Start Dify [web](../web) service.
9. Setup your application by visiting `http://localhost:3000`...
9. Setup your application by visiting `http://localhost:3000`.
10. If you need to handle and debug the async tasks (e.g. dataset importing and documents indexing), please start the worker service.
```bash
poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion
uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion
```
## Testing
@ -79,11 +82,11 @@
1. Install dependencies for both the backend and the test environment
```bash
poetry install -C api --with dev
uv sync --dev
```
2. Run the tests locally with mocked system environment variables in `tool.pytest_env` section in `pyproject.toml`
```bash
poetry run -P api bash dev/pytest/pytest_all_tests.sh
uv run -P api bash dev/pytest/pytest_all_tests.sh
```

@ -51,8 +51,10 @@ def initialize_extensions(app: DifyApp):
ext_login,
ext_mail,
ext_migrate,
ext_otel,
ext_proxy_fix,
ext_redis,
ext_repositories,
ext_sentry,
ext_set_secretkey,
ext_storage,
@ -73,6 +75,7 @@ def initialize_extensions(app: DifyApp):
ext_migrate,
ext_redis,
ext_storage,
ext_repositories,
ext_celery,
ext_login,
ext_mail,
@ -81,6 +84,7 @@ def initialize_extensions(app: DifyApp):
ext_proxy_fix,
ext_blueprints,
ext_commands,
ext_otel,
]
for ext in extensions:
short_name = ext.__name__.split(".")[-1]

@ -17,6 +17,7 @@ from core.rag.models.document import Document
from events.app_event import app_was_created
from extensions.ext_database import db
from extensions.ext_redis import redis_client
from extensions.ext_storage import storage
from libs.helper import email as email_validate
from libs.password import hash_password, password_pattern, valid_password
from libs.rsa import generate_key_pair
@ -271,6 +272,7 @@ def migrate_knowledge_vector_database():
upper_collection_vector_types = {
VectorType.MILVUS,
VectorType.PGVECTOR,
VectorType.VASTBASE,
VectorType.RELYT,
VectorType.WEAVIATE,
VectorType.ORACLE,
@ -442,13 +444,13 @@ def convert_to_agent_apps():
WHERE a.mode = 'chat'
AND am.agent_mode is not null
AND (
am.agent_mode like '%"strategy": "function_call"%'
am.agent_mode like '%"strategy": "function_call"%'
OR am.agent_mode like '%"strategy": "react"%'
)
)
AND (
am.agent_mode like '{"enabled": true%'
am.agent_mode like '{"enabled": true%'
OR am.agent_mode like '{"max_iteration": %'
) ORDER BY a.created_at DESC LIMIT 1000
) ORDER BY a.created_at DESC LIMIT 1000
"""
with db.engine.begin() as conn:
@ -814,3 +816,331 @@ def clear_free_plan_tenant_expired_logs(days: int, batch: int, tenant_ids: list[
ClearFreePlanTenantExpiredLogs.process(days, batch, tenant_ids)
click.echo(click.style("Clear free plan tenant expired logs completed.", fg="green"))
@click.option("-f", "--force", is_flag=True, help="Skip user confirmation and force the command to execute.")
@click.command("clear-orphaned-file-records", help="Clear orphaned file records.")
def clear_orphaned_file_records(force: bool):
"""
Clear orphaned file records in the database.
"""
# define tables and columns to process
files_tables = [
{"table": "upload_files", "id_column": "id", "key_column": "key"},
{"table": "tool_files", "id_column": "id", "key_column": "file_key"},
]
ids_tables = [
{"type": "uuid", "table": "message_files", "column": "upload_file_id"},
{"type": "text", "table": "documents", "column": "data_source_info"},
{"type": "text", "table": "document_segments", "column": "content"},
{"type": "text", "table": "messages", "column": "answer"},
{"type": "text", "table": "workflow_node_executions", "column": "inputs"},
{"type": "text", "table": "workflow_node_executions", "column": "process_data"},
{"type": "text", "table": "workflow_node_executions", "column": "outputs"},
{"type": "text", "table": "conversations", "column": "introduction"},
{"type": "text", "table": "conversations", "column": "system_instruction"},
{"type": "json", "table": "messages", "column": "inputs"},
{"type": "json", "table": "messages", "column": "message"},
]
# notify user and ask for confirmation
click.echo(
click.style(
"This command will first find and delete orphaned file records from the message_files table,", fg="yellow"
)
)
click.echo(
click.style(
"and then it will find and delete orphaned file records in the following tables:",
fg="yellow",
)
)
for files_table in files_tables:
click.echo(click.style(f"- {files_table['table']}", fg="yellow"))
click.echo(
click.style("The following tables and columns will be scanned to find orphaned file records:", fg="yellow")
)
for ids_table in ids_tables:
click.echo(click.style(f"- {ids_table['table']} ({ids_table['column']})", fg="yellow"))
click.echo("")
click.echo(click.style("!!! USE WITH CAUTION !!!", fg="red"))
click.echo(
click.style(
(
"Since not all patterns have been fully tested, "
"please note that this command may delete unintended file records."
),
fg="yellow",
)
)
click.echo(
click.style("This cannot be undone. Please make sure to back up your database before proceeding.", fg="yellow")
)
click.echo(
click.style(
(
"It is also recommended to run this during the maintenance window, "
"as this may cause high load on your instance."
),
fg="yellow",
)
)
if not force:
click.confirm("Do you want to proceed?", abort=True)
# start the cleanup process
click.echo(click.style("Starting orphaned file records cleanup.", fg="white"))
# clean up the orphaned records in the message_files table where message_id doesn't exist in messages table
try:
click.echo(
click.style("- Listing message_files records where message_id doesn't exist in messages table", fg="white")
)
query = (
"SELECT mf.id, mf.message_id "
"FROM message_files mf LEFT JOIN messages m ON mf.message_id = m.id "
"WHERE m.id IS NULL"
)
orphaned_message_files = []
with db.engine.begin() as conn:
rs = conn.execute(db.text(query))
for i in rs:
orphaned_message_files.append({"id": str(i[0]), "message_id": str(i[1])})
if orphaned_message_files:
click.echo(click.style(f"Found {len(orphaned_message_files)} orphaned message_files records:", fg="white"))
for record in orphaned_message_files:
click.echo(click.style(f" - id: {record['id']}, message_id: {record['message_id']}", fg="black"))
if not force:
click.confirm(
(
f"Do you want to proceed "
f"to delete all {len(orphaned_message_files)} orphaned message_files records?"
),
abort=True,
)
click.echo(click.style("- Deleting orphaned message_files records", fg="white"))
query = "DELETE FROM message_files WHERE id IN :ids"
with db.engine.begin() as conn:
conn.execute(db.text(query), {"ids": tuple([record["id"] for record in orphaned_message_files])})
click.echo(
click.style(f"Removed {len(orphaned_message_files)} orphaned message_files records.", fg="green")
)
else:
click.echo(click.style("No orphaned message_files records found. There is nothing to delete.", fg="green"))
except Exception as e:
click.echo(click.style(f"Error deleting orphaned message_files records: {str(e)}", fg="red"))
# clean up the orphaned records in the rest of the *_files tables
try:
# fetch file id and keys from each table
all_files_in_tables = []
for files_table in files_tables:
click.echo(click.style(f"- Listing file records in table {files_table['table']}", fg="white"))
query = f"SELECT {files_table['id_column']}, {files_table['key_column']} FROM {files_table['table']}"
with db.engine.begin() as conn:
rs = conn.execute(db.text(query))
for i in rs:
all_files_in_tables.append({"table": files_table["table"], "id": str(i[0]), "key": i[1]})
click.echo(click.style(f"Found {len(all_files_in_tables)} files in tables.", fg="white"))
# fetch referred table and columns
guid_regexp = "[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}"
all_ids_in_tables = []
for ids_table in ids_tables:
query = ""
if ids_table["type"] == "uuid":
click.echo(
click.style(
f"- Listing file ids in column {ids_table['column']} in table {ids_table['table']}", fg="white"
)
)
query = (
f"SELECT {ids_table['column']} FROM {ids_table['table']} WHERE {ids_table['column']} IS NOT NULL"
)
with db.engine.begin() as conn:
rs = conn.execute(db.text(query))
for i in rs:
all_ids_in_tables.append({"table": ids_table["table"], "id": str(i[0])})
elif ids_table["type"] == "text":
click.echo(
click.style(
f"- Listing file-id-like strings in column {ids_table['column']} in table {ids_table['table']}",
fg="white",
)
)
query = (
f"SELECT regexp_matches({ids_table['column']}, '{guid_regexp}', 'g') AS extracted_id "
f"FROM {ids_table['table']}"
)
with db.engine.begin() as conn:
rs = conn.execute(db.text(query))
for i in rs:
for j in i[0]:
all_ids_in_tables.append({"table": ids_table["table"], "id": j})
elif ids_table["type"] == "json":
click.echo(
click.style(
(
f"- Listing file-id-like JSON string in column {ids_table['column']} "
f"in table {ids_table['table']}"
),
fg="white",
)
)
query = (
f"SELECT regexp_matches({ids_table['column']}::text, '{guid_regexp}', 'g') AS extracted_id "
f"FROM {ids_table['table']}"
)
with db.engine.begin() as conn:
rs = conn.execute(db.text(query))
for i in rs:
for j in i[0]:
all_ids_in_tables.append({"table": ids_table["table"], "id": j})
click.echo(click.style(f"Found {len(all_ids_in_tables)} file ids in tables.", fg="white"))
except Exception as e:
click.echo(click.style(f"Error fetching keys: {str(e)}", fg="red"))
return
# find orphaned files
all_files = [file["id"] for file in all_files_in_tables]
all_ids = [file["id"] for file in all_ids_in_tables]
orphaned_files = list(set(all_files) - set(all_ids))
if not orphaned_files:
click.echo(click.style("No orphaned file records found. There is nothing to delete.", fg="green"))
return
click.echo(click.style(f"Found {len(orphaned_files)} orphaned file records.", fg="white"))
for file in orphaned_files:
click.echo(click.style(f"- orphaned file id: {file}", fg="black"))
if not force:
click.confirm(f"Do you want to proceed to delete all {len(orphaned_files)} orphaned file records?", abort=True)
# delete orphaned records for each file
try:
for files_table in files_tables:
click.echo(click.style(f"- Deleting orphaned file records in table {files_table['table']}", fg="white"))
query = f"DELETE FROM {files_table['table']} WHERE {files_table['id_column']} IN :ids"
with db.engine.begin() as conn:
conn.execute(db.text(query), {"ids": tuple(orphaned_files)})
except Exception as e:
click.echo(click.style(f"Error deleting orphaned file records: {str(e)}", fg="red"))
return
click.echo(click.style(f"Removed {len(orphaned_files)} orphaned file records.", fg="green"))
@click.option("-f", "--force", is_flag=True, help="Skip user confirmation and force the command to execute.")
@click.command("remove-orphaned-files-on-storage", help="Remove orphaned files on the storage.")
def remove_orphaned_files_on_storage(force: bool):
"""
Remove orphaned files on the storage.
"""
# define tables and columns to process
files_tables = [
{"table": "upload_files", "key_column": "key"},
{"table": "tool_files", "key_column": "file_key"},
]
storage_paths = ["image_files", "tools", "upload_files"]
# notify user and ask for confirmation
click.echo(click.style("This command will find and remove orphaned files on the storage,", fg="yellow"))
click.echo(
click.style("by comparing the files on the storage with the records in the following tables:", fg="yellow")
)
for files_table in files_tables:
click.echo(click.style(f"- {files_table['table']}", fg="yellow"))
click.echo(click.style("The following paths on the storage will be scanned to find orphaned files:", fg="yellow"))
for storage_path in storage_paths:
click.echo(click.style(f"- {storage_path}", fg="yellow"))
click.echo("")
click.echo(click.style("!!! USE WITH CAUTION !!!", fg="red"))
click.echo(
click.style(
"Currently, this command will work only for opendal based storage (STORAGE_TYPE=opendal).", fg="yellow"
)
)
click.echo(
click.style(
"Since not all patterns have been fully tested, please note that this command may delete unintended files.",
fg="yellow",
)
)
click.echo(
click.style("This cannot be undone. Please make sure to back up your storage before proceeding.", fg="yellow")
)
click.echo(
click.style(
(
"It is also recommended to run this during the maintenance window, "
"as this may cause high load on your instance."
),
fg="yellow",
)
)
if not force:
click.confirm("Do you want to proceed?", abort=True)
# start the cleanup process
click.echo(click.style("Starting orphaned files cleanup.", fg="white"))
# fetch file id and keys from each table
all_files_in_tables = []
try:
for files_table in files_tables:
click.echo(click.style(f"- Listing files from table {files_table['table']}", fg="white"))
query = f"SELECT {files_table['key_column']} FROM {files_table['table']}"
with db.engine.begin() as conn:
rs = conn.execute(db.text(query))
for i in rs:
all_files_in_tables.append(str(i[0]))
click.echo(click.style(f"Found {len(all_files_in_tables)} files in tables.", fg="white"))
except Exception as e:
click.echo(click.style(f"Error fetching keys: {str(e)}", fg="red"))
all_files_on_storage = []
for storage_path in storage_paths:
try:
click.echo(click.style(f"- Scanning files on storage path {storage_path}", fg="white"))
files = storage.scan(path=storage_path, files=True, directories=False)
all_files_on_storage.extend(files)
except FileNotFoundError as e:
click.echo(click.style(f" -> Skipping path {storage_path} as it does not exist.", fg="yellow"))
continue
except Exception as e:
click.echo(click.style(f" -> Error scanning files on storage path {storage_path}: {str(e)}", fg="red"))
continue
click.echo(click.style(f"Found {len(all_files_on_storage)} files on storage.", fg="white"))
# find orphaned files
orphaned_files = list(set(all_files_on_storage) - set(all_files_in_tables))
if not orphaned_files:
click.echo(click.style("No orphaned files found. There is nothing to remove.", fg="green"))
return
click.echo(click.style(f"Found {len(orphaned_files)} orphaned files.", fg="white"))
for file in orphaned_files:
click.echo(click.style(f"- orphaned file: {file}", fg="black"))
if not force:
click.confirm(f"Do you want to proceed to remove all {len(orphaned_files)} orphaned files?", abort=True)
# delete orphaned files
removed_files = 0
error_files = 0
for file in orphaned_files:
try:
storage.delete(file)
removed_files += 1
click.echo(click.style(f"- Removing orphaned file: {file}", fg="white"))
except Exception as e:
error_files += 1
click.echo(click.style(f"- Error deleting orphaned file {file}: {str(e)}", fg="red"))
continue
if error_files == 0:
click.echo(click.style(f"Removed {removed_files} orphaned files without errors.", fg="green"))
else:
click.echo(click.style(f"Removed {removed_files} orphaned files, with {error_files} errors.", fg="yellow"))

@ -9,9 +9,11 @@ from .enterprise import EnterpriseFeatureConfig
from .extra import ExtraServiceConfig
from .feature import FeatureConfig
from .middleware import MiddlewareConfig
from .observability import ObservabilityConfig
from .packaging import PackagingInfo
from .remote_settings_sources import RemoteSettingsSource, RemoteSettingsSourceConfig, RemoteSettingsSourceName
from .remote_settings_sources.apollo import ApolloSettingsSource
from .remote_settings_sources.nacos import NacosSettingsSource
logger = logging.getLogger(__name__)
@ -33,6 +35,8 @@ class RemoteSettingsSourceFactory(PydanticBaseSettingsSource):
match remote_source_name:
case RemoteSettingsSourceName.APOLLO:
remote_source = ApolloSettingsSource(current_state)
case RemoteSettingsSourceName.NACOS:
remote_source = NacosSettingsSource(current_state)
case _:
logger.warning(f"Unsupported remote source: {remote_source_name}")
return {}
@ -59,6 +63,8 @@ class DifyConfig(
MiddlewareConfig,
# Extra service configs
ExtraServiceConfig,
# Observability configs
ObservabilityConfig,
# Remote source configs
RemoteSettingsSourceConfig,
# Enterprise feature configs

@ -12,7 +12,7 @@ from pydantic import (
)
from pydantic_settings import BaseSettings
from configs.feature.hosted_service import HostedServiceConfig
from .hosted_service import HostedServiceConfig
class SecurityConfig(BaseSettings):
@ -519,6 +519,11 @@ class WorkflowNodeExecutionConfig(BaseSettings):
default=100,
)
WORKFLOW_NODE_EXECUTION_STORAGE: str = Field(
default="rdbms",
description="Storage backend for WorkflowNodeExecution. Options: 'rdbms', 'hybrid'",
)
class AuthConfig(BaseSettings):
"""

@ -22,6 +22,7 @@ from .vdb.baidu_vector_config import BaiduVectorDBConfig
from .vdb.chroma_config import ChromaConfig
from .vdb.couchbase_config import CouchbaseConfig
from .vdb.elasticsearch_config import ElasticsearchConfig
from .vdb.huawei_cloud_config import HuaweiCloudConfig
from .vdb.lindorm_config import LindormConfig
from .vdb.milvus_config import MilvusConfig
from .vdb.myscale_config import MyScaleConfig
@ -38,6 +39,7 @@ from .vdb.tencent_vector_config import TencentVectorDBConfig
from .vdb.tidb_on_qdrant_config import TidbOnQdrantConfig
from .vdb.tidb_vector_config import TiDBVectorConfig
from .vdb.upstash_config import UpstashConfig
from .vdb.vastbase_vector_config import VastbaseVectorConfig
from .vdb.vikingdb_config import VikingDBConfig
from .vdb.weaviate_config import WeaviateConfig
@ -263,11 +265,13 @@ class MiddlewareConfig(
VectorStoreConfig,
AnalyticdbConfig,
ChromaConfig,
HuaweiCloudConfig,
MilvusConfig,
MyScaleConfig,
OpenSearchConfig,
OracleConfig,
PGVectorConfig,
VastbaseVectorConfig,
PGVectoRSConfig,
QdrantConfig,
RelytConfig,

@ -0,0 +1,25 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings
class HuaweiCloudConfig(BaseSettings):
"""
Configuration settings for Huawei cloud search service
"""
HUAWEI_CLOUD_HOSTS: Optional[str] = Field(
description="Hostname or IP address of the Huawei cloud search service instance",
default=None,
)
HUAWEI_CLOUD_USER: Optional[str] = Field(
description="Username for authenticating with Huawei cloud search service",
default=None,
)
HUAWEI_CLOUD_PASSWORD: Optional[str] = Field(
description="Password for authenticating with Huawei cloud search service",
default=None,
)

@ -32,3 +32,4 @@ class LindormConfig(BaseSettings):
description="Using UGC index will store the same type of Index in a single index but can retrieve separately.",
default=False,
)
LINDORM_QUERY_TIMEOUT: Optional[float] = Field(description="The lindorm search request timeout (s)", default=2.0)

@ -39,3 +39,8 @@ class MilvusConfig(BaseSettings):
"older versions",
default=True,
)
MILVUS_ANALYZER_PARAMS: Optional[str] = Field(
description='Milvus text analyzer parameters, e.g., {"type": "chinese"} for Chinese segmentation support.',
default=None,
)

@ -1,4 +1,5 @@
from typing import Optional
import enum
from typing import Literal, Optional
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
@ -9,6 +10,14 @@ class OpenSearchConfig(BaseSettings):
Configuration settings for OpenSearch
"""
class AuthMethod(enum.StrEnum):
"""
Authentication method for OpenSearch
"""
BASIC = "basic"
AWS_MANAGED_IAM = "aws_managed_iam"
OPENSEARCH_HOST: Optional[str] = Field(
description="Hostname or IP address of the OpenSearch server (e.g., 'localhost' or 'opensearch.example.com')",
default=None,
@ -19,6 +28,16 @@ class OpenSearchConfig(BaseSettings):
default=9200,
)
OPENSEARCH_SECURE: bool = Field(
description="Whether to use SSL/TLS encrypted connection for OpenSearch (True for HTTPS, False for HTTP)",
default=False,
)
OPENSEARCH_AUTH_METHOD: AuthMethod = Field(
description="Authentication method for OpenSearch connection (default is 'basic')",
default=AuthMethod.BASIC,
)
OPENSEARCH_USER: Optional[str] = Field(
description="Username for authenticating with OpenSearch",
default=None,
@ -29,7 +48,11 @@ class OpenSearchConfig(BaseSettings):
default=None,
)
OPENSEARCH_SECURE: bool = Field(
description="Whether to use SSL/TLS encrypted connection for OpenSearch (True for HTTPS, False for HTTP)",
default=False,
OPENSEARCH_AWS_REGION: Optional[str] = Field(
description="AWS region for OpenSearch (e.g. 'us-west-2')",
default=None,
)
OPENSEARCH_AWS_SERVICE: Optional[Literal["es", "aoss"]] = Field(
description="AWS service for OpenSearch (e.g. 'aoss' for OpenSearch Serverless)", default=None
)

@ -0,0 +1,45 @@
from typing import Optional
from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings
class VastbaseVectorConfig(BaseSettings):
"""
Configuration settings for Vector (Vastbase with vector extension)
"""
VASTBASE_HOST: Optional[str] = Field(
description="Hostname or IP address of the Vastbase server with Vector extension (e.g., 'localhost')",
default=None,
)
VASTBASE_PORT: PositiveInt = Field(
description="Port number on which the Vastbase server is listening (default is 5432)",
default=5432,
)
VASTBASE_USER: Optional[str] = Field(
description="Username for authenticating with the Vastbase database",
default=None,
)
VASTBASE_PASSWORD: Optional[str] = Field(
description="Password for authenticating with the Vastbase database",
default=None,
)
VASTBASE_DATABASE: Optional[str] = Field(
description="Name of the Vastbase database to connect to",
default=None,
)
VASTBASE_MIN_CONNECTION: PositiveInt = Field(
description="Min connection of the Vastbase database",
default=1,
)
VASTBASE_MAX_CONNECTION: PositiveInt = Field(
description="Max connection of the Vastbase database",
default=5,
)

@ -0,0 +1,9 @@
from configs.observability.otel.otel_config import OTelConfig
class ObservabilityConfig(OTelConfig):
"""
Observability configuration settings
"""
pass

@ -0,0 +1,44 @@
from pydantic import Field
from pydantic_settings import BaseSettings
class OTelConfig(BaseSettings):
"""
OpenTelemetry configuration settings
"""
ENABLE_OTEL: bool = Field(
description="Whether to enable OpenTelemetry",
default=False,
)
OTLP_BASE_ENDPOINT: str = Field(
description="OTLP base endpoint",
default="http://localhost:4318",
)
OTLP_API_KEY: str = Field(
description="OTLP API key",
default="",
)
OTEL_EXPORTER_TYPE: str = Field(
description="OTEL exporter type",
default="otlp",
)
OTEL_SAMPLING_RATE: float = Field(default=0.1, description="Sampling rate for traces (0.0 to 1.0)")
OTEL_BATCH_EXPORT_SCHEDULE_DELAY: int = Field(
default=5000, description="Batch export schedule delay in milliseconds"
)
OTEL_MAX_QUEUE_SIZE: int = Field(default=2048, description="Maximum queue size for the batch span processor")
OTEL_MAX_EXPORT_BATCH_SIZE: int = Field(default=512, description="Maximum export batch size")
OTEL_METRIC_EXPORT_INTERVAL: int = Field(default=60000, description="Metric export interval in milliseconds")
OTEL_BATCH_EXPORT_TIMEOUT: int = Field(default=10000, description="Batch export timeout in milliseconds")
OTEL_METRIC_EXPORT_TIMEOUT: int = Field(default=30000, description="Metric export timeout in milliseconds")

@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
CURRENT_VERSION: str = Field(
description="Dify version",
default="1.2.0",
default="1.3.1",
)
COMMIT_SHA: str = Field(

@ -270,7 +270,7 @@ class ApolloClient:
while not self._stopping:
for namespace in self._notification_map:
self._do_heart_beat(namespace)
time.sleep(60 * 10) # 10分钟
time.sleep(60 * 10) # 10 minutes
def _do_heart_beat(self, namespace):
url = "{}/configs/{}/{}/{}?ip={}".format(self.config_url, self.app_id, self.cluster, namespace, self.ip)

@ -3,3 +3,4 @@ from enum import StrEnum
class RemoteSettingsSourceName(StrEnum):
APOLLO = "apollo"
NACOS = "nacos"

@ -0,0 +1,52 @@
import logging
import os
from collections.abc import Mapping
from typing import Any
from pydantic.fields import FieldInfo
from .http_request import NacosHttpClient
logger = logging.getLogger(__name__)
from configs.remote_settings_sources.base import RemoteSettingsSource
from .utils import _parse_config
class NacosSettingsSource(RemoteSettingsSource):
def __init__(self, configs: Mapping[str, Any]):
self.configs = configs
self.remote_configs: dict[str, Any] = {}
self.async_init()
def async_init(self):
data_id = os.getenv("DIFY_ENV_NACOS_DATA_ID", "dify-api-env.properties")
group = os.getenv("DIFY_ENV_NACOS_GROUP", "nacos-dify")
tenant = os.getenv("DIFY_ENV_NACOS_NAMESPACE", "")
params = {"dataId": data_id, "group": group, "tenant": tenant}
try:
content = NacosHttpClient().http_request("/nacos/v1/cs/configs", method="GET", headers={}, params=params)
self.remote_configs = self._parse_config(content)
except Exception as e:
logger.exception("[get-access-token] exception occurred")
raise
def _parse_config(self, content: str) -> dict:
if not content:
return {}
try:
return _parse_config(self, content)
except Exception as e:
raise RuntimeError(f"Failed to parse config: {e}")
def get_field_value(self, field: FieldInfo, field_name: str) -> tuple[Any, str, bool]:
if not isinstance(self.remote_configs, dict):
raise ValueError(f"remote configs is not dict, but {type(self.remote_configs)}")
field_value = self.remote_configs.get(field_name)
if field_value is None:
return None, field_name, False
return field_value, field_name, False

@ -0,0 +1,83 @@
import base64
import hashlib
import hmac
import logging
import os
import time
import requests
logger = logging.getLogger(__name__)
class NacosHttpClient:
def __init__(self):
self.username = os.getenv("DIFY_ENV_NACOS_USERNAME")
self.password = os.getenv("DIFY_ENV_NACOS_PASSWORD")
self.ak = os.getenv("DIFY_ENV_NACOS_ACCESS_KEY")
self.sk = os.getenv("DIFY_ENV_NACOS_SECRET_KEY")
self.server = os.getenv("DIFY_ENV_NACOS_SERVER_ADDR", "localhost:8848")
self.token = None
self.token_ttl = 18000
self.token_expire_time: float = 0
def http_request(self, url, method="GET", headers=None, params=None):
try:
self._inject_auth_info(headers, params)
response = requests.request(method, url="http://" + self.server + url, headers=headers, params=params)
response.raise_for_status()
return response.text
except requests.exceptions.RequestException as e:
return f"Request to Nacos failed: {e}"
def _inject_auth_info(self, headers, params, module="config"):
headers.update({"User-Agent": "Nacos-Http-Client-In-Dify:v0.0.1"})
if module == "login":
return
ts = str(int(time.time() * 1000))
if self.ak and self.sk:
sign_str = self.get_sign_str(params["group"], params["tenant"], ts)
headers["Spas-AccessKey"] = self.ak
headers["Spas-Signature"] = self.__do_sign(sign_str, self.sk)
headers["timeStamp"] = ts
if self.username and self.password:
self.get_access_token(force_refresh=False)
params["accessToken"] = self.token
def __do_sign(self, sign_str, sk):
return (
base64.encodebytes(hmac.new(sk.encode(), sign_str.encode(), digestmod=hashlib.sha1).digest())
.decode()
.strip()
)
def get_sign_str(self, group, tenant, ts):
sign_str = ""
if tenant:
sign_str = tenant + "+"
if group:
sign_str = sign_str + group + "+"
if sign_str:
sign_str += ts
return sign_str
def get_access_token(self, force_refresh=False):
current_time = time.time()
if self.token and not force_refresh and self.token_expire_time > current_time:
return self.token
params = {"username": self.username, "password": self.password}
url = "http://" + self.server + "/nacos/v1/auth/login"
try:
resp = requests.request("POST", url, headers=None, params=params)
resp.raise_for_status()
response_data = resp.json()
self.token = response_data.get("accessToken")
self.token_ttl = response_data.get("tokenTtl", 18000)
self.token_expire_time = current_time + self.token_ttl - 10
except Exception as e:
logger.exception("[get-access-token] exception occur")
raise

@ -0,0 +1,31 @@
def _parse_config(self, content: str) -> dict[str, str]:
config: dict[str, str] = {}
if not content:
return config
for line in content.splitlines():
cleaned_line = line.strip()
if not cleaned_line or cleaned_line.startswith(("#", "!")):
continue
separator_index = -1
for i, c in enumerate(cleaned_line):
if c in ("=", ":") and (i == 0 or cleaned_line[i - 1] != "\\"):
separator_index = i
break
if separator_index == -1:
continue
key = cleaned_line[:separator_index].strip()
raw_value = cleaned_line[separator_index + 1 :].strip()
try:
decoded_value = bytes(raw_value, "utf-8").decode("unicode_escape")
decoded_value = decoded_value.replace(r"\=", "=").replace(r"\:", ":")
except UnicodeDecodeError:
decoded_value = raw_value
config[key] = decoded_value
return config

@ -3,6 +3,8 @@ from configs import dify_config
HIDDEN_VALUE = "[__HIDDEN__]"
UUID_NIL = "00000000-0000-0000-0000-000000000000"
DEFAULT_FILE_NUMBER_LIMITS = 3
IMAGE_EXTENSIONS = ["jpg", "jpeg", "png", "webp", "gif", "svg"]
IMAGE_EXTENSIONS.extend([ext.upper() for ext in IMAGE_EXTENSIONS])
@ -14,11 +16,25 @@ AUDIO_EXTENSIONS.extend([ext.upper() for ext in AUDIO_EXTENSIONS])
if dify_config.ETL_TYPE == "Unstructured":
DOCUMENT_EXTENSIONS = ["txt", "markdown", "md", "mdx", "pdf", "html", "htm", "xlsx", "xls"]
DOCUMENT_EXTENSIONS = ["txt", "markdown", "md", "mdx", "pdf", "html", "htm", "xlsx", "xls", "vtt", "properties"]
DOCUMENT_EXTENSIONS.extend(("doc", "docx", "csv", "eml", "msg", "pptx", "xml", "epub"))
if dify_config.UNSTRUCTURED_API_URL:
DOCUMENT_EXTENSIONS.append("ppt")
DOCUMENT_EXTENSIONS.extend([ext.upper() for ext in DOCUMENT_EXTENSIONS])
else:
DOCUMENT_EXTENSIONS = ["txt", "markdown", "md", "mdx", "pdf", "html", "htm", "xlsx", "xls", "docx", "csv"]
DOCUMENT_EXTENSIONS = [
"txt",
"markdown",
"md",
"mdx",
"pdf",
"html",
"htm",
"xlsx",
"xls",
"docx",
"csv",
"vtt",
"properties",
]
DOCUMENT_EXTENSIONS.extend([ext.upper() for ext in DOCUMENT_EXTENSIONS])

@ -4,8 +4,6 @@ import platform
import re
import urllib.parse
import warnings
from collections.abc import Mapping
from typing import Any
from uuid import uuid4
import httpx
@ -29,8 +27,6 @@ except ImportError:
from pydantic import BaseModel
from configs import dify_config
class FileInfo(BaseModel):
filename: str
@ -87,38 +83,3 @@ def guess_file_info_from_response(response: httpx.Response):
mimetype=mimetype,
size=int(response.headers.get("Content-Length", -1)),
)
def get_parameters_from_feature_dict(*, features_dict: Mapping[str, Any], user_input_form: list[dict[str, Any]]):
return {
"opening_statement": features_dict.get("opening_statement"),
"suggested_questions": features_dict.get("suggested_questions", []),
"suggested_questions_after_answer": features_dict.get("suggested_questions_after_answer", {"enabled": False}),
"speech_to_text": features_dict.get("speech_to_text", {"enabled": False}),
"text_to_speech": features_dict.get("text_to_speech", {"enabled": False}),
"retriever_resource": features_dict.get("retriever_resource", {"enabled": False}),
"annotation_reply": features_dict.get("annotation_reply", {"enabled": False}),
"more_like_this": features_dict.get("more_like_this", {"enabled": False}),
"user_input_form": user_input_form,
"sensitive_word_avoidance": features_dict.get(
"sensitive_word_avoidance", {"enabled": False, "type": "", "configs": []}
),
"file_upload": features_dict.get(
"file_upload",
{
"image": {
"enabled": False,
"number_limits": 3,
"detail": "high",
"transfer_methods": ["remote_url", "local_file"],
}
},
),
"system_parameters": {
"image_file_size_limit": dify_config.UPLOAD_IMAGE_FILE_SIZE_LIMIT,
"video_file_size_limit": dify_config.UPLOAD_VIDEO_FILE_SIZE_LIMIT,
"audio_file_size_limit": dify_config.UPLOAD_AUDIO_FILE_SIZE_LIMIT,
"file_size_limit": dify_config.UPLOAD_FILE_SIZE_LIMIT,
"workflow_file_upload_limit": dify_config.WORKFLOW_FILE_UPLOAD_LIMIT,
},
}

@ -89,7 +89,7 @@ class AnnotationReplyActionStatusApi(Resource):
app_annotation_job_key = "{}_app_annotation_job_{}".format(action, str(job_id))
cache_result = redis_client.get(app_annotation_job_key)
if cache_result is None:
raise ValueError("The job is not exist.")
raise ValueError("The job does not exist.")
job_status = cache_result.decode()
error_msg = ""
@ -186,7 +186,7 @@ class AnnotationUpdateDeleteApi(Resource):
app_id = str(app_id)
annotation_id = str(annotation_id)
AppAnnotationService.delete_app_annotation(app_id, annotation_id)
return {"result": "success"}, 200
return {"result": "success"}, 204
class AnnotationBatchImportApi(Resource):
@ -226,7 +226,7 @@ class AnnotationBatchImportStatusApi(Resource):
indexing_cache_key = "app_annotation_batch_import_{}".format(str(job_id))
cache_result = redis_client.get(indexing_cache_key)
if cache_result is None:
raise ValueError("The job is not exist.")
raise ValueError("The job does not exist.")
job_status = cache_result.decode()
error_msg = ""
if job_status == "error":

@ -80,8 +80,6 @@ class ChatMessageTextApi(Resource):
@account_initialization_required
@get_app_model
def post(self, app_model: App):
from werkzeug.exceptions import InternalServerError
try:
parser = reqparse.RequestParser()
parser.add_argument("message_id", type=str, location="json")

@ -85,5 +85,35 @@ class RuleCodeGenerateApi(Resource):
return code_result
class RuleStructuredOutputGenerateApi(Resource):
@setup_required
@login_required
@account_initialization_required
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("instruction", type=str, required=True, nullable=False, location="json")
parser.add_argument("model_config", type=dict, required=True, nullable=False, location="json")
args = parser.parse_args()
account = current_user
try:
structured_output = LLMGenerator.generate_structured_output(
tenant_id=account.current_tenant_id,
instruction=args["instruction"],
model_config=args["model_config"],
)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
except QuotaExceededError:
raise ProviderQuotaExceededError()
except ModelCurrentlyNotSupportError:
raise ProviderModelCurrentlyNotSupportError()
except InvokeError as e:
raise CompletionRequestError(e.description)
return structured_output
api.add_resource(RuleGenerateApi, "/rule-generate")
api.add_resource(RuleCodeGenerateApi, "/rule-code-generate")
api.add_resource(RuleStructuredOutputGenerateApi, "/rule-structured-output-generate")

@ -84,7 +84,7 @@ class TraceAppConfigApi(Resource):
result = OpsService.delete_tracing_app_config(app_id=app_id, tracing_provider=args["tracing_provider"])
if not result:
raise TracingConfigNotExist()
return {"result": "success"}
return {"result": "success"}, 204
except Exception as e:
raise BadRequest(str(e))

@ -1,5 +1,4 @@
from datetime import datetime
from dateutil.parser import isoparse
from flask_restful import Resource, marshal_with, reqparse # type: ignore
from flask_restful.inputs import int_range # type: ignore
from sqlalchemy.orm import Session
@ -41,10 +40,10 @@ class WorkflowAppLogApi(Resource):
args.status = WorkflowRunStatus(args.status) if args.status else None
if args.created_at__before:
args.created_at__before = datetime.fromisoformat(args.created_at__before.replace("Z", "+00:00"))
args.created_at__before = isoparse(args.created_at__before)
if args.created_at__after:
args.created_at__after = datetime.fromisoformat(args.created_at__after.replace("Z", "+00:00"))
args.created_at__after = isoparse(args.created_at__after)
# get paginate workflow app logs
workflow_app_service = WorkflowAppService()

@ -65,7 +65,7 @@ class ApiKeyAuthDataSourceBindingDelete(Resource):
ApiKeyAuthService.delete_provider_auth(current_user.current_tenant_id, binding_id)
return {"result": "success"}, 200
return {"result": "success"}, 204
api.add_resource(ApiKeyAuthDataSource, "/api-key-auth/data-source")

@ -74,7 +74,9 @@ class OAuthDataSourceBinding(Resource):
if not oauth_provider:
return {"error": "Invalid provider"}, 400
if "code" in request.args:
code = request.args.get("code")
code = request.args.get("code", "")
if not code:
return {"error": "Invalid code"}, 400
try:
oauth_provider.get_access_token(code)
except requests.exceptions.HTTPError as e:

@ -16,7 +16,7 @@ from controllers.console.auth.error import (
PasswordMismatchError,
)
from controllers.console.error import AccountInFreezeError, AccountNotFound, EmailSendIpLimitError
from controllers.console.wraps import setup_required
from controllers.console.wraps import email_password_login_enabled, setup_required
from events.tenant_event import tenant_was_created
from extensions.ext_database import db
from libs.helper import email, extract_remote_ip
@ -30,6 +30,7 @@ from services.feature_service import FeatureService
class ForgotPasswordSendEmailApi(Resource):
@setup_required
@email_password_login_enabled
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("email", type=email, required=True, location="json")
@ -62,6 +63,7 @@ class ForgotPasswordSendEmailApi(Resource):
class ForgotPasswordCheckApi(Resource):
@setup_required
@email_password_login_enabled
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("email", type=str, required=True, location="json")
@ -86,12 +88,21 @@ class ForgotPasswordCheckApi(Resource):
AccountService.add_forgot_password_error_rate_limit(args["email"])
raise EmailCodeError()
# Verified, revoke the first token
AccountService.revoke_reset_password_token(args["token"])
# Refresh token data by generating a new token
_, new_token = AccountService.generate_reset_password_token(
user_email, code=args["code"], additional_data={"phase": "reset"}
)
AccountService.reset_forgot_password_error_rate_limit(args["email"])
return {"is_valid": True, "email": token_data.get("email")}
return {"is_valid": True, "email": token_data.get("email"), "token": new_token}
class ForgotPasswordResetApi(Resource):
@setup_required
@email_password_login_enabled
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("token", type=str, required=True, nullable=False, location="json")
@ -107,6 +118,9 @@ class ForgotPasswordResetApi(Resource):
reset_data = AccountService.get_reset_password_data(args["token"])
if not reset_data:
raise InvalidTokenError()
# Must use token in reset phase
if reset_data.get("phase", "") != "reset":
raise InvalidTokenError()
# Revoke token to prevent reuse
AccountService.revoke_reset_password_token(args["token"])

@ -22,7 +22,7 @@ from controllers.console.error import (
EmailSendIpLimitError,
NotAllowedCreateWorkspace,
)
from controllers.console.wraps import setup_required
from controllers.console.wraps import email_password_login_enabled, setup_required
from events.tenant_event import tenant_was_created
from libs.helper import email, extract_remote_ip
from libs.password import valid_password
@ -38,6 +38,7 @@ class LoginApi(Resource):
"""Resource for user login."""
@setup_required
@email_password_login_enabled
def post(self):
"""Authenticate user and login."""
parser = reqparse.RequestParser()
@ -110,6 +111,7 @@ class LogoutApi(Resource):
class ResetPasswordSendEmailApi(Resource):
@setup_required
@email_password_login_enabled
def post(self):
parser = reqparse.RequestParser()
parser.add_argument("email", type=email, required=True, location="json")

@ -657,6 +657,7 @@ class DatasetRetrievalSettingApi(Resource):
| VectorType.ELASTICSEARCH
| VectorType.ELASTICSEARCH_JA
| VectorType.PGVECTOR
| VectorType.VASTBASE
| VectorType.TIDB_ON_QDRANT
| VectorType.LINDORM
| VectorType.COUCHBASE
@ -664,6 +665,7 @@ class DatasetRetrievalSettingApi(Resource):
| VectorType.OPENGAUSS
| VectorType.OCEANBASE
| VectorType.TABLESTORE
| VectorType.HUAWEI_CLOUD
| VectorType.TENCENT
):
return {
@ -705,11 +707,13 @@ class DatasetRetrievalSettingMockApi(Resource):
| VectorType.ELASTICSEARCH_JA
| VectorType.COUCHBASE
| VectorType.PGVECTOR
| VectorType.VASTBASE
| VectorType.LINDORM
| VectorType.OPENGAUSS
| VectorType.OCEANBASE
| VectorType.TABLESTORE
| VectorType.TENCENT
| VectorType.HUAWEI_CLOUD
):
return {
"retrieval_method": [

@ -40,7 +40,7 @@ from core.indexing_runner import IndexingRunner
from core.model_manager import ModelManager
from core.model_runtime.entities.model_entities import ModelType
from core.model_runtime.errors.invoke import InvokeAuthorizationError
from core.plugin.manager.exc import PluginDaemonClientSideError
from core.plugin.impl.exc import PluginDaemonClientSideError
from core.rag.extractor.entity.extract_setting import ExtractSetting
from extensions.ext_database import db
from extensions.ext_redis import redis_client

@ -131,7 +131,7 @@ class DatasetDocumentSegmentListApi(Resource):
except services.errors.account.NoPermissionError as e:
raise Forbidden(str(e))
SegmentService.delete_segments(segment_ids, document, dataset)
return {"result": "success"}, 200
return {"result": "success"}, 204
class DatasetDocumentSegmentApi(Resource):
@ -333,7 +333,7 @@ class DatasetDocumentSegmentUpdateApi(Resource):
except services.errors.account.NoPermissionError as e:
raise Forbidden(str(e))
SegmentService.delete_segment(segment, document, dataset)
return {"result": "success"}, 200
return {"result": "success"}, 204
class DatasetDocumentSegmentBatchImportApi(Resource):
@ -398,7 +398,7 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
indexing_cache_key = "segment_batch_import_{}".format(job_id)
cache_result = redis_client.get(indexing_cache_key)
if cache_result is None:
raise ValueError("The job is not exist.")
raise ValueError("The job does not exist.")
return {"job_id": job_id, "job_status": cache_result.decode()}, 200
@ -590,7 +590,7 @@ class ChildChunkUpdateApi(Resource):
SegmentService.delete_child_chunk(child_chunk, dataset)
except ChildChunkDeleteIndexServiceError as e:
raise ChildChunkDeleteIndexError(str(e))
return {"result": "success"}, 200
return {"result": "success"}, 204
@setup_required
@login_required

@ -21,12 +21,6 @@ def _validate_name(name):
return name
def _validate_description_length(description):
if description and len(description) > 400:
raise ValueError("Description cannot exceed 400 characters.")
return description
class ExternalApiTemplateListApi(Resource):
@setup_required
@login_required
@ -141,7 +135,7 @@ class ExternalApiTemplateApi(Resource):
raise Forbidden()
ExternalDatasetService.delete_external_knowledge_api(current_user.current_tenant_id, external_knowledge_api_id)
return {"result": "success"}, 200
return {"result": "success"}, 204
class ExternalApiUseCheckApi(Resource):

@ -14,18 +14,6 @@ from services.entities.knowledge_entities.knowledge_entities import (
from services.metadata_service import MetadataService
def _validate_name(name):
if not name or len(name) < 1 or len(name) > 40:
raise ValueError("Name must be between 1 to 40 characters.")
return name
def _validate_description_length(description):
if len(description) > 400:
raise ValueError("Description cannot exceed 400 characters.")
return description
class DatasetMetadataCreateApi(Resource):
@setup_required
@login_required
@ -94,7 +82,7 @@ class DatasetMetadataApi(Resource):
DatasetService.check_dataset_permission(dataset, current_user)
MetadataService.delete_metadata(dataset_id_str, metadata_id_str)
return 200
return {"result": "success"}, 204
class DatasetMetadataBuiltInFieldApi(Resource):

@ -113,7 +113,7 @@ class InstalledAppApi(InstalledAppResource):
db.session.delete(installed_app)
db.session.commit()
return {"result": "success", "message": "App uninstalled successfully"}
return {"result": "success", "message": "App uninstalled successfully"}, 204
def patch(self, installed_app):
parser = reqparse.RequestParser()

@ -1,10 +1,10 @@
from flask_restful import marshal_with # type: ignore
from controllers.common import fields
from controllers.common import helpers as controller_helpers
from controllers.console import api
from controllers.console.app.error import AppUnavailableError
from controllers.console.explore.wraps import InstalledAppResource
from core.app.app_config.common.parameters_mapping import get_parameters_from_feature_dict
from models.model import AppMode, InstalledApp
from services.app_service import AppService
@ -36,9 +36,7 @@ class AppParameterApi(InstalledAppResource):
user_input_form = features_dict.get("user_input_form", [])
return controller_helpers.get_parameters_from_feature_dict(
features_dict=features_dict, user_input_form=user_input_form
)
return get_parameters_from_feature_dict(features_dict=features_dict, user_input_form=user_input_form)
class ExploreAppMetaApi(InstalledAppResource):

@ -72,7 +72,7 @@ class SavedMessageApi(InstalledAppResource):
SavedMessageService.delete(app_model, current_user, message_id)
return {"result": "success"}
return {"result": "success"}, 204
api.add_resource(

@ -99,7 +99,7 @@ class APIBasedExtensionDetailAPI(Resource):
APIBasedExtensionService.delete(extension_data_from_db)
return {"result": "success"}
return {"result": "success"}, 204
api.add_resource(CodeBasedExtensionAPI, "/code-based-extension")

@ -86,7 +86,7 @@ class TagUpdateDeleteApi(Resource):
TagService.delete_tag(tag_id)
return 200
return 204
class TagBindingCreateApi(Resource):

@ -286,8 +286,6 @@ class AccountDeleteApi(Resource):
class AccountDeleteUpdateFeedbackApi(Resource):
@setup_required
def post(self):
account = current_user
parser = reqparse.RequestParser()
parser.add_argument("email", type=str, required=True, location="json")
parser.add_argument("feedback", type=str, required=True, location="json")

@ -5,6 +5,7 @@ from werkzeug.exceptions import Forbidden
from controllers.console import api
from controllers.console.wraps import account_initialization_required, setup_required
from core.model_runtime.utils.encoders import jsonable_encoder
from core.plugin.impl.exc import PluginPermissionDeniedError
from libs.login import login_required
from services.plugin.endpoint_service import EndpointService
@ -28,15 +29,18 @@ class EndpointCreateApi(Resource):
settings = args["settings"]
name = args["name"]
return {
"success": EndpointService.create_endpoint(
tenant_id=user.current_tenant_id,
user_id=user.id,
plugin_unique_identifier=plugin_unique_identifier,
name=name,
settings=settings,
)
}
try:
return {
"success": EndpointService.create_endpoint(
tenant_id=user.current_tenant_id,
user_id=user.id,
plugin_unique_identifier=plugin_unique_identifier,
name=name,
settings=settings,
)
}
except PluginPermissionDeniedError as e:
raise ValueError(e.description) from e
class EndpointListApi(Resource):

@ -10,7 +10,7 @@ from controllers.console import api
from controllers.console.workspace import plugin_permission_required
from controllers.console.wraps import account_initialization_required, setup_required
from core.model_runtime.utils.encoders import jsonable_encoder
from core.plugin.manager.exc import PluginDaemonClientSideError
from core.plugin.impl.exc import PluginDaemonClientSideError
from libs.login import login_required
from models.account import TenantPluginPermission
from services.plugin.plugin_permission_service import PluginPermissionService
@ -249,6 +249,31 @@ class PluginInstallFromMarketplaceApi(Resource):
return jsonable_encoder(response)
class PluginFetchMarketplacePkgApi(Resource):
@setup_required
@login_required
@account_initialization_required
@plugin_permission_required(install_required=True)
def get(self):
tenant_id = current_user.current_tenant_id
parser = reqparse.RequestParser()
parser.add_argument("plugin_unique_identifier", type=str, required=True, location="args")
args = parser.parse_args()
try:
return jsonable_encoder(
{
"manifest": PluginService.fetch_marketplace_pkg(
tenant_id,
args["plugin_unique_identifier"],
)
}
)
except PluginDaemonClientSideError as e:
raise ValueError(e)
class PluginFetchManifestApi(Resource):
@setup_required
@login_required
@ -488,6 +513,7 @@ api.add_resource(PluginDeleteInstallTaskApi, "/workspaces/current/plugin/tasks/<
api.add_resource(PluginDeleteAllInstallTaskItemsApi, "/workspaces/current/plugin/tasks/delete_all")
api.add_resource(PluginDeleteInstallTaskItemApi, "/workspaces/current/plugin/tasks/<task_id>/delete/<path:identifier>")
api.add_resource(PluginUninstallApi, "/workspaces/current/plugin/uninstall")
api.add_resource(PluginFetchMarketplacePkgApi, "/workspaces/current/plugin/marketplace/pkg")
api.add_resource(PluginChangePermissionApi, "/workspaces/current/plugin/permission/change")
api.add_resource(PluginFetchPermissionApi, "/workspaces/current/plugin/permission/fetch")

@ -10,6 +10,7 @@ from configs import dify_config
from controllers.console.workspace.error import AccountNotInitializedError
from extensions.ext_database import db
from extensions.ext_redis import redis_client
from models.account import AccountStatus
from models.dataset import RateLimitLog
from models.model import DifySetup
from services.feature_service import FeatureService, LicenseStatus
@ -24,7 +25,7 @@ def account_initialization_required(view):
# check account initialization
account = current_user
if account.status == "uninitialized":
if account.status == AccountStatus.UNINITIALIZED:
raise AccountNotInitializedError()
return view(*args, **kwargs)
@ -210,3 +211,16 @@ def enterprise_license_required(view):
return view(*args, **kwargs)
return decorated
def email_password_login_enabled(view):
@wraps(view)
def decorated(*args, **kwargs):
features = FeatureService.get_system_features()
if features.enable_email_password_login:
return view(*args, **kwargs)
# otherwise, return 403
abort(403)
return decorated

@ -70,12 +70,26 @@ class FilePreviewApi(Resource):
direct_passthrough=True,
headers={},
)
# add Accept-Ranges header for audio/video files
if upload_file.mime_type in [
"audio/mpeg",
"audio/wav",
"audio/mp4",
"audio/ogg",
"audio/flac",
"audio/aac",
"video/mp4",
"video/webm",
"video/quicktime",
"audio/x-m4a",
]:
response.headers["Accept-Ranges"] = "bytes"
if upload_file.size > 0:
response.headers["Content-Length"] = str(upload_file.size)
if args["as_attachment"]:
encoded_filename = quote(upload_file.name)
response.headers["Content-Disposition"] = f"attachment; filename*=UTF-8''{encoded_filename}"
response.headers["Content-Type"] = "application/octet-stream"
response.headers["Content-Type"] = "application/octet-stream"
return response

@ -1,3 +1,5 @@
from mimetypes import guess_extension
from flask import request
from flask_restful import Resource, marshal_with # type: ignore
from werkzeug.exceptions import Forbidden
@ -9,8 +11,8 @@ from controllers.files.error import UnsupportedFileTypeError
from controllers.inner_api.plugin.wraps import get_user
from controllers.service_api.app.error import FileTooLargeError
from core.file.helpers import verify_plugin_file_signature
from core.tools.tool_file_manager import ToolFileManager
from fields.file_fields import file_fields
from services.file_service import FileService
class PluginUploadFileApi(Resource):
@ -51,19 +53,26 @@ class PluginUploadFileApi(Resource):
raise Forbidden("Invalid request.")
try:
upload_file = FileService.upload_file(
filename=filename,
content=file.read(),
tool_file = ToolFileManager.create_file_by_raw(
user_id=user.id,
tenant_id=tenant_id,
file_binary=file.read(),
mimetype=mimetype,
user=user,
source=None,
filename=filename,
conversation_id=None,
)
extension = guess_extension(tool_file.mimetype) or ".bin"
preview_url = ToolFileManager.sign_file(tool_file_id=tool_file.id, extension=extension)
tool_file.mime_type = mimetype
tool_file.extension = extension
tool_file.preview_url = preview_url
except services.errors.file.FileTooLargeError as file_too_large_error:
raise FileTooLargeError(file_too_large_error.description)
except services.errors.file.UnsupportedFileTypeError:
raise UnsupportedFileTypeError()
return upload_file, 201
return tool_file, 201
api.add_resource(PluginUploadFileApi, "/files/upload/for-plugin")

@ -13,6 +13,7 @@ from core.plugin.backwards_invocation.model import PluginModelBackwardsInvocatio
from core.plugin.backwards_invocation.node import PluginNodeBackwardsInvocation
from core.plugin.backwards_invocation.tool import PluginToolBackwardsInvocation
from core.plugin.entities.request import (
RequestFetchAppInfo,
RequestInvokeApp,
RequestInvokeEncrypt,
RequestInvokeLLM,
@ -278,6 +279,17 @@ class PluginUploadFileRequestApi(Resource):
return BaseBackwardsInvocationResponse(data={"url": url}).model_dump()
class PluginFetchAppInfoApi(Resource):
@setup_required
@plugin_inner_api_only
@get_user_tenant
@plugin_data(payload_type=RequestFetchAppInfo)
def post(self, user_model: Account | EndUser, tenant_model: Tenant, payload: RequestFetchAppInfo):
return BaseBackwardsInvocationResponse(
data=PluginAppBackwardsInvocation.fetch_app_info(payload.app_id, tenant_model.id)
).model_dump()
api.add_resource(PluginInvokeLLMApi, "/invoke/llm")
api.add_resource(PluginInvokeTextEmbeddingApi, "/invoke/text-embedding")
api.add_resource(PluginInvokeRerankApi, "/invoke/rerank")
@ -291,3 +303,4 @@ api.add_resource(PluginInvokeAppApi, "/invoke/app")
api.add_resource(PluginInvokeEncryptApi, "/invoke/encrypt")
api.add_resource(PluginInvokeSummaryApi, "/invoke/summary")
api.add_resource(PluginUploadFileRequestApi, "/upload/file/request")
api.add_resource(PluginFetchAppInfoApi, "/fetch/app/info")

@ -79,7 +79,7 @@ class AnnotationListApi(Resource):
class AnnotationUpdateDeleteApi(Resource):
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.JSON))
@marshal_with(annotation_fields)
def post(self, app_model: App, end_user: EndUser, annotation_id):
def put(self, app_model: App, end_user: EndUser, annotation_id):
if not current_user.is_editor:
raise Forbidden()
@ -98,7 +98,7 @@ class AnnotationUpdateDeleteApi(Resource):
annotation_id = str(annotation_id)
AppAnnotationService.delete_app_annotation(app_model.id, annotation_id)
return {"result": "success"}, 200
return {"result": "success"}, 204
api.add_resource(AnnotationReplyActionApi, "/apps/annotation-reply/<string:action>")

@ -1,10 +1,10 @@
from flask_restful import Resource, marshal_with # type: ignore
from controllers.common import fields
from controllers.common import helpers as controller_helpers
from controllers.service_api import api
from controllers.service_api.app.error import AppUnavailableError
from controllers.service_api.wraps import validate_app_token
from core.app.app_config.common.parameters_mapping import get_parameters_from_feature_dict
from models.model import App, AppMode
from services.app_service import AppService
@ -32,9 +32,7 @@ class AppParameterApi(Resource):
user_input_form = features_dict.get("user_input_form", [])
return controller_helpers.get_parameters_from_feature_dict(
features_dict=features_dict, user_input_form=user_input_form
)
return get_parameters_from_feature_dict(features_dict=features_dict, user_input_form=user_input_form)
class AppMetaApi(Resource):

@ -14,6 +14,9 @@ from fields.conversation_fields import (
conversation_infinite_scroll_pagination_fields,
simple_conversation_fields,
)
from fields.conversation_variable_fields import (
conversation_variable_infinite_scroll_pagination_fields,
)
from libs.helper import uuid_value
from models.model import App, AppMode, EndUser
from services.conversation_service import ConversationService
@ -69,7 +72,7 @@ class ConversationDetailApi(Resource):
ConversationService.delete(app_model, conversation_id, end_user)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
return {"result": "success"}, 200
return {"result": "success"}, 204
class ConversationRenameApi(Resource):
@ -93,6 +96,31 @@ class ConversationRenameApi(Resource):
raise NotFound("Conversation Not Exists.")
class ConversationVariablesApi(Resource):
@validate_app_token(fetch_user_arg=FetchUserArg(fetch_from=WhereisUserArg.QUERY))
@marshal_with(conversation_variable_infinite_scroll_pagination_fields)
def get(self, app_model: App, end_user: EndUser, c_id):
# conversational variable only for chat app
app_mode = AppMode.value_of(app_model.mode)
if app_mode not in {AppMode.CHAT, AppMode.AGENT_CHAT, AppMode.ADVANCED_CHAT}:
raise NotChatAppError()
conversation_id = str(c_id)
parser = reqparse.RequestParser()
parser.add_argument("last_id", type=uuid_value, location="args")
parser.add_argument("limit", type=int_range(1, 100), required=False, default=20, location="args")
args = parser.parse_args()
try:
return ConversationService.get_conversational_variable(
app_model, conversation_id, end_user, args["limit"], args["last_id"]
)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
api.add_resource(ConversationRenameApi, "/conversations/<uuid:c_id>/name", endpoint="conversation_name")
api.add_resource(ConversationApi, "/conversations")
api.add_resource(ConversationDetailApi, "/conversations/<uuid:c_id>", endpoint="conversation_detail")
api.add_resource(ConversationVariablesApi, "/conversations/<uuid:c_id>/variables", endpoint="conversation_variables")

@ -1,6 +1,6 @@
import logging
from datetime import datetime
from dateutil.parser import isoparse
from flask_restful import Resource, fields, marshal_with, reqparse # type: ignore
from flask_restful.inputs import int_range # type: ignore
from sqlalchemy.orm import Session
@ -59,7 +59,7 @@ class WorkflowRunDetailApi(Resource):
Get a workflow task running detail
"""
app_mode = AppMode.value_of(app_model.mode)
if app_mode != AppMode.WORKFLOW:
if app_mode not in [AppMode.WORKFLOW, AppMode.ADVANCED_CHAT]:
raise NotWorkflowAppError()
workflow_run = db.session.query(WorkflowRun).filter(WorkflowRun.id == workflow_run_id).first()
@ -140,10 +140,10 @@ class WorkflowAppLogApi(Resource):
args.status = WorkflowRunStatus(args.status) if args.status else None
if args.created_at__before:
args.created_at__before = datetime.fromisoformat(args.created_at__before.replace("Z", "+00:00"))
args.created_at__before = isoparse(args.created_at__before)
if args.created_at__after:
args.created_at__after = datetime.fromisoformat(args.created_at__after.replace("Z", "+00:00"))
args.created_at__after = isoparse(args.created_at__after)
# get paginate workflow app logs
workflow_app_service = WorkflowAppService()

@ -13,6 +13,7 @@ from fields.dataset_fields import dataset_detail_fields
from libs.login import current_user
from models.dataset import Dataset, DatasetPermissionEnum
from services.dataset_service import DatasetPermissionService, DatasetService
from services.entities.knowledge_entities.knowledge_entities import RetrievalModel
def _validate_name(name):
@ -120,8 +121,11 @@ class DatasetListApi(DatasetApiResource):
nullable=True,
required=False,
)
args = parser.parse_args()
parser.add_argument("retrieval_model", type=dict, required=False, nullable=True, location="json")
parser.add_argument("embedding_model", type=str, required=False, nullable=True, location="json")
parser.add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json")
args = parser.parse_args()
try:
dataset = DatasetService.create_empty_dataset(
tenant_id=tenant_id,
@ -133,6 +137,11 @@ class DatasetListApi(DatasetApiResource):
provider=args["provider"],
external_knowledge_api_id=args["external_knowledge_api_id"],
external_knowledge_id=args["external_knowledge_id"],
embedding_model_provider=args["embedding_model_provider"],
embedding_model_name=args["embedding_model"],
retrieval_model=RetrievalModel(**args["retrieval_model"])
if args["retrieval_model"] is not None
else None,
)
except services.errors.dataset.DatasetNameDuplicateError:
raise DatasetNameDuplicateError()

@ -49,7 +49,9 @@ class DocumentAddByTextApi(DatasetApiResource):
parser.add_argument(
"indexing_technique", type=str, choices=Dataset.INDEXING_TECHNIQUE_LIST, nullable=False, location="json"
)
parser.add_argument("retrieval_model", type=dict, required=False, nullable=False, location="json")
parser.add_argument("retrieval_model", type=dict, required=False, nullable=True, location="json")
parser.add_argument("embedding_model", type=str, required=False, nullable=True, location="json")
parser.add_argument("embedding_model_provider", type=str, required=False, nullable=True, location="json")
args = parser.parse_args()
dataset_id = str(dataset_id)
@ -57,7 +59,7 @@ class DocumentAddByTextApi(DatasetApiResource):
dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first()
if not dataset:
raise ValueError("Dataset is not exist.")
raise ValueError("Dataset does not exist.")
if not dataset.indexing_technique and not args["indexing_technique"]:
raise ValueError("indexing_technique is required.")
@ -114,7 +116,7 @@ class DocumentUpdateByTextApi(DatasetApiResource):
dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first()
if not dataset:
raise ValueError("Dataset is not exist.")
raise ValueError("Dataset does not exist.")
# indexing_technique is already set in dataset since this is an update
args["indexing_technique"] = dataset.indexing_technique
@ -172,7 +174,7 @@ class DocumentAddByFileApi(DatasetApiResource):
dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first()
if not dataset:
raise ValueError("Dataset is not exist.")
raise ValueError("Dataset does not exist.")
if not dataset.indexing_technique and not args.get("indexing_technique"):
raise ValueError("indexing_technique is required.")
@ -239,7 +241,7 @@ class DocumentUpdateByFileApi(DatasetApiResource):
dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first()
if not dataset:
raise ValueError("Dataset is not exist.")
raise ValueError("Dataset does not exist.")
# indexing_technique is already set in dataset since this is an update
args["indexing_technique"] = dataset.indexing_technique
@ -303,7 +305,7 @@ class DocumentDeleteApi(DatasetApiResource):
dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first()
if not dataset:
raise ValueError("Dataset is not exist.")
raise ValueError("Dataset does not exist.")
document = DocumentService.get_document(dataset.id, document_id)
@ -321,7 +323,7 @@ class DocumentDeleteApi(DatasetApiResource):
except services.errors.document.DocumentIndexingError:
raise DocumentIndexingError("Cannot delete document during indexing.")
return {"result": "success"}, 200
return {"result": "success"}, 204
class DocumentListApi(DatasetApiResource):

@ -13,18 +13,6 @@ from services.entities.knowledge_entities.knowledge_entities import (
from services.metadata_service import MetadataService
def _validate_name(name):
if not name or len(name) < 1 or len(name) > 40:
raise ValueError("Name must be between 1 to 40 characters.")
return name
def _validate_description_length(description):
if len(description) > 400:
raise ValueError("Description cannot exceed 400 characters.")
return description
class DatasetMetadataCreateServiceApi(DatasetApiResource):
def post(self, tenant_id, dataset_id):
parser = reqparse.RequestParser()
@ -75,7 +63,7 @@ class DatasetMetadataServiceApi(DatasetApiResource):
DatasetService.check_dataset_permission(dataset, current_user)
MetadataService.delete_metadata(dataset_id_str, metadata_id_str)
return 200
return 204
class DatasetMetadataBuiltInFieldServiceApi(DatasetApiResource):

@ -117,14 +117,13 @@ class SegmentApi(DatasetApiResource):
parser.add_argument("keyword", type=str, default=None, location="args")
args = parser.parse_args()
status_list = args["status"]
keyword = args["keyword"]
segments, total = SegmentService.get_segments(
document_id=document_id,
tenant_id=current_user.current_tenant_id,
status_list=args["status"],
keyword=args["keyword"],
page=page,
limit=limit,
)
response = {
@ -160,7 +159,7 @@ class DatasetSegmentApi(DatasetApiResource):
if not segment:
raise NotFound("Segment not found.")
SegmentService.delete_segment(segment, document, dataset)
return {"result": "success"}, 200
return {"result": "success"}, 204
@cloud_edition_billing_resource_check("vector_space", "dataset")
def post(self, tenant_id, dataset_id, document_id, segment_id):
@ -345,7 +344,7 @@ class DatasetChildChunkApi(DatasetApiResource):
except ChildChunkDeleteIndexServiceError as e:
raise ChildChunkDeleteIndexError(str(e))
return {"result": "success"}, 200
return {"result": "success"}, 204
@cloud_edition_billing_resource_check("vector_space", "dataset")
@cloud_edition_billing_knowledge_limit_check("add_segment", "dataset")

@ -1,10 +1,10 @@
from flask_restful import marshal_with # type: ignore
from controllers.common import fields
from controllers.common import helpers as controller_helpers
from controllers.web import api
from controllers.web.error import AppUnavailableError
from controllers.web.wraps import WebApiResource
from core.app.app_config.common.parameters_mapping import get_parameters_from_feature_dict
from models.model import App, AppMode
from services.app_service import AppService
@ -31,9 +31,7 @@ class AppParameterApi(WebApiResource):
user_input_form = features_dict.get("user_input_form", [])
return controller_helpers.get_parameters_from_feature_dict(
features_dict=features_dict, user_input_form=user_input_form
)
return get_parameters_from_feature_dict(features_dict=features_dict, user_input_form=user_input_form)
class AppMeta(WebApiResource):

@ -46,6 +46,7 @@ class MessageListApi(WebApiResource):
"retriever_resources": fields.List(fields.Nested(retriever_resource_fields)),
"created_at": TimestampField,
"agent_thoughts": fields.List(fields.Nested(agent_thought_fields)),
"metadata": fields.Raw(attribute="message_metadata_dict"),
"status": fields.String,
"error": fields.String,
}

@ -67,7 +67,7 @@ class SavedMessageApi(WebApiResource):
SavedMessageService.delete(app_model, end_user, message_id)
return {"result": "success"}
return {"result": "success"}, 204
api.add_resource(SavedMessageListApi, "/saved-messages")

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