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Merge branch 'main' into fix-doc-TOC-style

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pull/18314/head
GuanMu 11 months ago committed by GitHub
parent ec5913f42b 110bb5e5a5
commit a813f937c3
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1589 changed files with 41652 additions and 15063 deletions
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5
.devcontainer/Dockerfile
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@ -1,5 +1,4 @@
FROM mcr.microsoft.com/devcontainers/python:3.12 FROM mcr.microsoft.com/devcontainers/python:3.12
# [Optional] Uncomment this section to install additional OS packages. RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \ && apt-get -y install libgmp-dev libmpfr-dev libmpc-dev
# && apt-get -y install --no-install-recommends <your-package-list-here>

2
.devcontainer/README.md
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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) ![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. 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)

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

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

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.devcontainer/post_create_command.sh
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@ -1,12 +1,13 @@
#!/bin/bash #!/bin/bash
npm add -g pnpm@10.8.0 npm add -g pnpm@10.11.1
cd web && pnpm install cd web && pnpm install
pipx install uv pipx install uv
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-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-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-web="cd /workspaces/dify/web && pnpm dev"' >> ~/.bashrc
echo 'alias start-web-prod="cd /workspaces/dify/web && pnpm build && pnpm start"' >> ~/.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 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 echo 'alias stop-containers="cd /workspaces/dify/docker && docker-compose -f docker-compose.middleware.yaml -p dify --env-file middleware.env down"' >> ~/.bashrc

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web/.editorconfig → .editorconfig
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@ -5,18 +5,35 @@ root = true
# Unix-style newlines with a newline ending every file # Unix-style newlines with a newline ending every file
[*] [*]
charset = utf-8
end_of_line = lf end_of_line = lf
insert_final_newline = true 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 # Matches multiple files with brace expansion notation
# Set default charset # Set default charset
[*.{js,tsx}] [*.{js,tsx}]
charset = utf-8
indent_style = space indent_style = space
indent_size = 2 indent_size = 2
# Matches the exact files package.json
# Matches the exact files either package.json or .travis.yml [package.json]
[{package.json,.travis.yml}]
indent_style = space indent_style = space
indent_size = 2 indent_size = 2

2
.gitattributes vendored
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@ -1,5 +1,5 @@
# Ensure that .sh scripts use LF as line separator, even if they are checked out # 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`. # 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 # If they appear to be CRLF style, Dash from the Container will fail to execute
# them. # them.

2
.github/actions/setup-uv/action.yml vendored
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@ -8,7 +8,7 @@ inputs:
uv-version: uv-version:
description: UV version to set up description: UV version to set up
required: true required: true
default: '0.6.14' default: '~=0.7.11'
uv-lockfile: uv-lockfile:
description: Path to the UV lockfile to restore cache from description: Path to the UV lockfile to restore cache from
required: true required: true

22
.github/linters/editorconfig-checker.json vendored
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@ -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
}
}

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.github/pull_request_template.md vendored
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@ -1,25 +1,23 @@
# Summary > [!IMPORTANT]
>
> 1. Make sure you have read our [contribution guidelines](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)
> 2. Ensure there is an associated issue and you have been assigned to it
> 3. Use the correct syntax to link this PR: `Fixes #<issue number>`.
Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change. ## Summary
> [!Tip] <!-- Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change. -->
> Close issue syntax: `Fixes #<issue number>` or `Resolves #<issue number>`, see [documentation](https://docs.github.com/en/issues/tracking-your-work-with-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) for more details.
## Screenshots
# Screenshots
| Before | After | | Before | After |
|--------|-------| |--------|-------|
| ... | ... | | ... | ... |
# Checklist ## Checklist
> [!IMPORTANT]
> Please review the checklist below before submitting your pull request.
- [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs) - [ ] This change requires a documentation update, included: [Dify Document](https://github.com/langgenius/dify-docs)
- [x] I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!) - [x] I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!)
- [x] I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change. - [x] I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
- [x] I've updated the documentation accordingly. - [x] I've updated the documentation accordingly.
- [x] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods - [x] I ran `dev/reformat`(backend) and `cd web && npx lint-staged`(frontend) to appease the lint gods

3
.github/workflows/api-tests.yml vendored
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@ -88,3 +88,6 @@ jobs:
- name: Run Workflow - name: Run Workflow
run: uv run --project api bash dev/pytest/pytest_workflow.sh run: uv run --project api bash dev/pytest/pytest_workflow.sh
- name: Run Tool
run: uv run --project api bash dev/pytest/pytest_tools.sh

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.github/workflows/deploy-rag-dev.yml vendored
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@ -0,0 +1,28 @@
name: Deploy RAG Dev
permissions:
contents: read
on:
workflow_run:
workflows: ["Build and Push API & Web"]
branches:
- "deploy/rag-dev"
types:
- completed
jobs:
deploy:
runs-on: ubuntu-latest
if: |
github.event.workflow_run.conclusion == 'success' &&
github.event.workflow_run.head_branch == 'deploy/rag-dev'
steps:
- name: Deploy to server
uses: appleboy/ssh-action@v0.1.8
with:
host: ${{ secrets.RAG_SSH_HOST }}
username: ${{ secrets.SSH_USER }}
key: ${{ secrets.SSH_PRIVATE_KEY }}
script: |
${{ vars.SSH_SCRIPT || secrets.SSH_SCRIPT }}

1
.github/workflows/expose_service_ports.sh vendored
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@ -10,6 +10,7 @@ yq eval '.services["elasticsearch"].ports += ["9200:9200"]' -i docker/docker-com
yq eval '.services.couchbase-server.ports += ["8091-8096:8091-8096"]' -i docker/docker-compose.yaml yq eval '.services.couchbase-server.ports += ["8091-8096:8091-8096"]' -i docker/docker-compose.yaml
yq eval '.services.couchbase-server.ports += ["11210:11210"]' -i docker/docker-compose.yaml yq eval '.services.couchbase-server.ports += ["11210:11210"]' -i docker/docker-compose.yaml
yq eval '.services.tidb.ports += ["4000:4000"]' -i docker/tidb/docker-compose.yaml yq eval '.services.tidb.ports += ["4000:4000"]' -i docker/tidb/docker-compose.yaml
yq eval '.services.oceanbase.ports += ["2881:2881"]' -i docker/docker-compose.yaml
yq eval '.services.opengauss.ports += ["6600:6600"]' -i docker/docker-compose.yaml yq eval '.services.opengauss.ports += ["6600:6600"]' -i docker/docker-compose.yaml
echo "Ports exposed for sandbox, weaviate, tidb, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch, couchbase, opengauss" echo "Ports exposed for sandbox, weaviate, tidb, qdrant, chroma, milvus, pgvector, pgvecto-rs, elasticsearch, couchbase, opengauss"

22
.github/workflows/style.yml vendored
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@ -9,6 +9,12 @@ concurrency:
group: style-${{ github.head_ref || github.run_id }} group: style-${{ github.head_ref || github.run_id }}
cancel-in-progress: true cancel-in-progress: true
permissions:
checks: write
statuses: write
contents: read
jobs: jobs:
python-style: python-style:
name: Python Style name: Python Style
@ -43,8 +49,8 @@ jobs:
if: steps.changed-files.outputs.any_changed == 'true' if: steps.changed-files.outputs.any_changed == 'true'
run: | run: |
uv run --directory api ruff --version uv run --directory api ruff --version
uv run --directory api ruff check ./ uv run --directory api ruff check --diff ./
uv run --directory api ruff format --check ./ uv run --directory api ruff format --check --diff ./
- name: Dotenv check - name: Dotenv check
if: steps.changed-files.outputs.any_changed == 'true' if: steps.changed-files.outputs.any_changed == 'true'
@ -133,6 +139,7 @@ jobs:
- name: Checkout code - name: Checkout code
uses: actions/checkout@v4 uses: actions/checkout@v4
with: with:
fetch-depth: 0
persist-credentials: false persist-credentials: false
- name: Check changed files - name: Check changed files
@ -163,3 +170,14 @@ jobs:
VALIDATE_DOCKERFILE_HADOLINT: true VALIDATE_DOCKERFILE_HADOLINT: true
VALIDATE_XML: true VALIDATE_XML: true
VALIDATE_YAML: 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

8
.github/workflows/translate-i18n-base-on-english.yml vendored
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@ -31,11 +31,19 @@ jobs:
echo "FILES_CHANGED=false" >> $GITHUB_ENV echo "FILES_CHANGED=false" >> $GITHUB_ENV
fi fi
- name: Install pnpm
uses: pnpm/action-setup@v4
with:
version: 10
run_install: false
- name: Set up Node.js - name: Set up Node.js
if: env.FILES_CHANGED == 'true' if: env.FILES_CHANGED == 'true'
uses: actions/setup-node@v4 uses: actions/setup-node@v4
with: with:
node-version: 'lts/*' node-version: 'lts/*'
cache: pnpm
cache-dependency-path: ./web/package.json
- name: Install dependencies - name: Install dependencies
if: env.FILES_CHANGED == 'true' if: env.FILES_CHANGED == 'true'

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.github/workflows/vdb-tests.yml vendored
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@ -31,6 +31,13 @@ jobs:
with: with:
persist-credentials: false persist-credentials: false
- name: Free Disk Space
uses: endersonmenezes/free-disk-space@v2
with:
remove_dotnet: true
remove_haskell: true
remove_tool_cache: true
- name: Setup UV and Python - name: Setup UV and Python
uses: ./.github/actions/setup-uv uses: ./.github/actions/setup-uv
with: with:
@ -59,7 +66,7 @@ jobs:
tidb tidb
tiflash tiflash
- name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase) - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS, Chroma, MyScale, ElasticSearch, Couchbase, OceanBase)
uses: hoverkraft-tech/compose-action@v2.0.2 uses: hoverkraft-tech/compose-action@v2.0.2
with: with:
compose-file: | compose-file: |
@ -75,9 +82,12 @@ jobs:
pgvector pgvector
chroma chroma
elasticsearch elasticsearch
oceanbase
- name: Check TiDB Ready - name: Check VDB Ready (TiDB, Oceanbase)
run: uv run --project 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
uv run --project api python api/tests/integration_tests/vdb/oceanbase/check_oceanbase_ready.py
- name: Test Vector Stores - name: Test Vector Stores
run: uv run --project api bash dev/pytest/pytest_vdb.sh run: uv run --project api bash dev/pytest/pytest_vdb.sh

7
.gitignore vendored
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@ -192,12 +192,12 @@ sdks/python-client/dist
sdks/python-client/dify_client.egg-info sdks/python-client/dify_client.egg-info
.vscode/* .vscode/*
!.vscode/launch.json !.vscode/launch.json.template
!.vscode/README.md
pyrightconfig.json pyrightconfig.json
api/.vscode api/.vscode
.idea/ .idea/
.vscode
# pnpm # pnpm
/.pnpm-store /.pnpm-store
@ -207,3 +207,6 @@ plugins.jsonl
# mise # mise
mise.toml mise.toml
# Next.js build output
.next/

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.vscode/README.md vendored
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@ -0,0 +1,14 @@
# Debugging with VS Code
This `launch.json.template` file provides various debug configurations for the Dify project within VS Code / Cursor. To use these configurations, you should copy the contents of this file into a new file named `launch.json` in the same `.vscode` directory.
## How to Use
1. **Create `launch.json`**: If you don't have one, create a file named `launch.json` inside the `.vscode` directory.
2. **Copy Content**: Copy the entire content from `launch.json.template` into your newly created `launch.json` file.
3. **Select Debug Configuration**: Go to the Run and Debug view in VS Code / Cursor (Ctrl+Shift+D or Cmd+Shift+D).
4. **Start Debugging**: Select the desired configuration from the dropdown menu and click the green play button.
## Tips
- If you need to debug with Edge browser instead of Chrome, modify the `serverReadyAction` configuration in the "Next.js: debug full stack" section, change `"debugWithChrome"` to `"debugWithEdge"` to use Microsoft Edge for debugging.

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.vscode/launch.json.template vendored
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@ -0,0 +1,68 @@
{
"version": "0.2.0",
"configurations": [
{
"name": "Python: Flask API",
"type": "debugpy",
"request": "launch",
"module": "flask",
"env": {
"FLASK_APP": "app.py",
"FLASK_ENV": "development",
"GEVENT_SUPPORT": "True"
},
"args": [
"run",
"--host=0.0.0.0",
"--port=5001",
"--no-debugger",
"--no-reload"
],
"jinja": true,
"justMyCode": true,
"cwd": "${workspaceFolder}/api",
"python": "${workspaceFolder}/api/.venv/bin/python"
},
{
"name": "Python: Celery Worker (Solo)",
"type": "debugpy",
"request": "launch",
"module": "celery",
"env": {
"GEVENT_SUPPORT": "True"
},
"args": [
"-A",
"app.celery",
"worker",
"-P",
"solo",
"-c",
"1",
"-Q",
"dataset,generation,mail,ops_trace",
"--loglevel",
"INFO"
],
"justMyCode": false,
"cwd": "${workspaceFolder}/api",
"python": "${workspaceFolder}/api/.venv/bin/python"
},
{
"name": "Next.js: debug full stack",
"type": "node",
"request": "launch",
"program": "${workspaceFolder}/web/node_modules/next/dist/bin/next",
"runtimeArgs": ["--inspect"],
"skipFiles": ["<node_internals>/**"],
"serverReadyAction": {
"action": "debugWithChrome",
"killOnServerStop": true,
"pattern": "- Local:.+(https?://.+)",
"uriFormat": "%s",
"webRoot": "${workspaceFolder}/web"
},
"cwd": "${workspaceFolder}/web"
}
]
}

2
CONTRIBUTING_ES.md
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@ -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. No dudes en contactarnos si encuentras algún problema durante el proceso de configuración.
## Obteniendo Ayuda ## 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.

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CONTRIBUTING_FR.md
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@ -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. N'hésitez pas à nous contacter si vous rencontrez des problèmes pendant le processus de configuration.
## Obtenir de l'aide ## 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.

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CONTRIBUTING_KR.md
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@ -90,4 +90,4 @@ PR 설명에 기존 이슈를 연결하거나 새 이슈를 여는 것을 잊지
설정 과정에서 문제가 발생하면 언제든지 연락해 주세요. 설정 과정에서 문제가 발생하면 언제든지 연락해 주세요.
## 도움 받기 ## 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.

2
CONTRIBUTING_PT.md
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@ -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. Sinta-se à vontade para entrar em contato se encontrar quaisquer problemas durante o processo de configuração.
## Obtendo Ajuda ## 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.

2
CONTRIBUTING_TR.md
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@ -90,4 +90,4 @@ Kuruluma geçmeden önce bu belgeyi dikkatlice incelemenizi öneririz, çünkü
Kurulum süreci sırasında herhangi bir sorunla karşılaşırsanız bizimle iletişime geçmekten çekinmeyin. Kurulum süreci sırasında herhangi bir sorunla karşılaşırsanız bizimle iletişime geçmekten çekinmeyin.
## Yardım Almak ## 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.

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![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab) ![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center"> <p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introducing Dify Workflow File Upload: Recreate Google NotebookLM Podcast</a> 📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introducing Dify Workflow File Upload: Recreate Google NotebookLM Podcast</a>
@ -54,7 +54,7 @@
<a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a> <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
</p> </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 ## Quick start
@ -87,8 +87,6 @@ Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-host
**1. Workflow**: **1. Workflow**:
Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond. Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Comprehensive model support**: **2. Comprehensive model support**:
Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers). Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers).
@ -188,7 +186,7 @@ All of Dify's offerings come with corresponding APIs, so you could effortlessly
- **Dify for enterprise / organizations</br>** - **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> 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 ## Staying ahead
@ -233,11 +231,11 @@ 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). 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. 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 ## Community & contact
- [Github Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions. - [GitHub Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.
- [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). - [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
- [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community. - [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.
- [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community. - [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.

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<p align="center"> <p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> · <a href="https://cloud.dify.ai">Dify Cloud</a> ·
@ -54,8 +54,6 @@
**1. سير العمل**: قم ببناء واختبار سير عمل الذكاء الاصطناعي القوي على قماش بصري، مستفيدًا من جميع الميزات التالية وأكثر. **1. سير العمل**: قم ببناء واختبار سير عمل الذكاء الاصطناعي القوي على قماش بصري، مستفيدًا من جميع الميزات التالية وأكثر.
<https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa>
**2. الدعم الشامل للنماذج**: تكامل سلس مع مئات من LLMs الخاصة / مفتوحة المصدر من عشرات من موفري التحليل والحلول المستضافة ذاتيًا، مما يغطي GPT و Mistral و Llama3 وأي نماذج متوافقة مع واجهة OpenAI API. يمكن العثور على قائمة كاملة بمزودي النموذج المدعومين [هنا](https://docs.dify.ai/getting-started/readme/model-providers). **2. الدعم الشامل للنماذج**: تكامل سلس مع مئات من LLMs الخاصة / مفتوحة المصدر من عشرات من موفري التحليل والحلول المستضافة ذاتيًا، مما يغطي GPT و Mistral و Llama3 وأي نماذج متوافقة مع واجهة OpenAI API. يمكن العثور على قائمة كاملة بمزودي النموذج المدعومين [هنا](https://docs.dify.ai/getting-started/readme/model-providers).
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3) ![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
@ -225,7 +223,7 @@ docker compose up -d
</a> </a>
## المجتمع والاتصال ## المجتمع والاتصال
- [مناقشة Github](https://github.com/langgenius/dify/discussions). الأفضل لـ: مشاركة التعليقات وطرح الأسئلة. - [مناقشة GitHub](https://github.com/langgenius/dify/discussions). الأفضل لـ: مشاركة التعليقات وطرح الأسئلة.
- [المشكلات على GitHub](https://github.com/langgenius/dify/issues). الأفضل لـ: الأخطاء التي تواجهها في استخدام Dify.AI، واقتراحات الميزات. انظر [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). - [المشكلات على GitHub](https://github.com/langgenius/dify/issues). الأفضل لـ: الأخطاء التي تواجهها في استخدام Dify.AI، واقتراحات الميزات. انظر [دليل المساهمة](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
- [Discord](https://discord.gg/FngNHpbcY7). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع. - [Discord](https://discord.gg/FngNHpbcY7). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.
- [تويتر](https://twitter.com/dify_ai). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع. - [تويتر](https://twitter.com/dify_ai). الأفضل لـ: مشاركة تطبيقاتك والترفيه مع المجتمع.

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<p align="center"> <p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">ডিফাই ওয়ার্কফ্লো ফাইল আপলোড পরিচিতি: গুগল নোটবুক-এলএম পডকাস্ট পুনর্নির্মাণ</a> 📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">ডিফাই ওয়ার্কফ্লো ফাইল আপলোড পরিচিতি: গুগল নোটবুক-এলএম পডকাস্ট পুনর্নির্মাণ</a>
@ -84,8 +84,6 @@ docker compose up -d
**১. ওয়ার্কফ্লো**: **১. ওয়ার্কফ্লো**:
ভিজ্যুয়াল ক্যানভাসে AI ওয়ার্কফ্লো তৈরি এবং পরীক্ষা করুন, নিম্নলিখিত সব ফিচার এবং তার বাইরেও আরও অনেক কিছু ব্যবহার করে। ভিজ্যুয়াল ক্যানভাসে AI ওয়ার্কফ্লো তৈরি এবং পরীক্ষা করুন, নিম্নলিখিত সব ফিচার এবং তার বাইরেও আরও অনেক কিছু ব্যবহার করে।
<https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa>
**২. মডেল সাপোর্ট**: **২. মডেল সাপোর্ট**:
GPT, Mistral, Llama3, এবং যেকোনো OpenAI API-সামঞ্জস্যপূর্ণ মডেলসহ, কয়েক ডজন ইনফারেন্স প্রদানকারী এবং সেল্ফ-হোস্টেড সমাধান থেকে শুরু করে প্রোপ্রাইটরি/ওপেন-সোর্স LLM-এর সাথে সহজে ইন্টিগ্রেশন। সমর্থিত মডেল প্রদানকারীদের একটি সম্পূর্ণ তালিকা পাওয়া যাবে [এখানে](https://docs.dify.ai/getting-started/readme/model-providers)। GPT, Mistral, Llama3, এবং যেকোনো OpenAI API-সামঞ্জস্যপূর্ণ মডেলসহ, কয়েক ডজন ইনফারেন্স প্রদানকারী এবং সেল্ফ-হোস্টেড সমাধান থেকে শুরু করে প্রোপ্রাইটরি/ওপেন-সোর্স LLM-এর সাথে সহজে ইন্টিগ্রেশন। সমর্থিত মডেল প্রদানকারীদের একটি সম্পূর্ণ তালিকা পাওয়া যাবে [এখানে](https://docs.dify.ai/getting-started/readme/model-providers)।
@ -236,7 +234,7 @@ GitHub-এ ডিফাইকে স্টার দিয়ে রাখুন
## কমিউনিটি এবং যোগাযোগ ## কমিউনিটি এবং যোগাযোগ
- [Github Discussion](https://github.com/langgenius/dify/discussions) ফিডব্যাক এবং প্রতিক্রিয়া জানানোর মাধ্যম। - [GitHub Discussion](https://github.com/langgenius/dify/discussions) ফিডব্যাক এবং প্রতিক্রিয়া জানানোর মাধ্যম।
- [GitHub Issues](https://github.com/langgenius/dify/issues). Dify.AI ব্যবহার করে আপনি যেসব বাগের সম্মুখীন হন এবং ফিচার প্রস্তাবনা। আমাদের [অবদান নির্দেশিকা](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) দেখুন। - [GitHub Issues](https://github.com/langgenius/dify/issues). Dify.AI ব্যবহার করে আপনি যেসব বাগের সম্মুখীন হন এবং ফিচার প্রস্তাবনা। আমাদের [অবদান নির্দেশিকা](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) দেখুন।
- [Discord](https://discord.gg/FngNHpbcY7) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম। - [Discord](https://discord.gg/FngNHpbcY7) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম।
- [X(Twitter)](https://twitter.com/dify_ai) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম। - [X(Twitter)](https://twitter.com/dify_ai) আপনার এপ্লিকেশন শেয়ার এবং কমিউনিটি আড্ডার মাধ্যম।

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<div align="center"> <div align="center">
<a href="https://cloud.dify.ai">Dify 云服务</a> · <a href="https://cloud.dify.ai">Dify 云服务</a> ·
@ -61,11 +61,6 @@ Dify 是一个开源的 LLM 应用开发平台。其直观的界面结合了 AI
**1. 工作流**: **1. 工作流**:
在画布上构建和测试功能强大的 AI 工作流程，利用以下所有功能以及更多功能。 在画布上构建和测试功能强大的 AI 工作流程，利用以下所有功能以及更多功能。
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. 全面的模型支持**: **2. 全面的模型支持**:
与数百种专有/开源 LLMs 以及数十种推理提供商和自托管解决方案无缝集成，涵盖 GPT、Mistral、Llama3 以及任何与 OpenAI API 兼容的模型。完整的支持模型提供商列表可在[此处](https://docs.dify.ai/getting-started/readme/model-providers)找到。 与数百种专有/开源 LLMs 以及数十种推理提供商和自托管解决方案无缝集成，涵盖 GPT、Mistral、Llama3 以及任何与 OpenAI API 兼容的模型。完整的支持模型提供商列表可在[此处](https://docs.dify.ai/getting-started/readme/model-providers)找到。
@ -248,7 +243,7 @@ docker compose up -d
我们欢迎您为 Dify 做出贡献，以帮助改善 Dify。包括：提交代码、问题、新想法，或分享您基于 Dify 创建的有趣且有用的 AI 应用程序。同时，我们也欢迎您在不同的活动、会议和社交媒体上分享 Dify。 我们欢迎您为 Dify 做出贡献，以帮助改善 Dify。包括：提交代码、问题、新想法，或分享您基于 Dify 创建的有趣且有用的 AI 应用程序。同时，我们也欢迎您在不同的活动、会议和社交媒体上分享 Dify。
- [Github Discussion](https://github.com/langgenius/dify/discussions). 👉：分享您的应用程序并与社区交流。 - [GitHub Discussion](https://github.com/langgenius/dify/discussions). 👉：分享您的应用程序并与社区交流。
- [GitHub Issues](https://github.com/langgenius/dify/issues)。👉：使用 Dify.AI 时遇到的错误和问题，请参阅[贡献指南](CONTRIBUTING.md)。 - [GitHub Issues](https://github.com/langgenius/dify/issues)。👉：使用 Dify.AI 时遇到的错误和问题，请参阅[贡献指南](CONTRIBUTING.md)。
- [电子邮件支持](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。👉：关于使用 Dify.AI 的问题。 - [电子邮件支持](mailto:hello@dify.ai?subject=[GitHub]Questions%20About%20Dify)。👉：关于使用 Dify.AI 的问题。
- [Discord](https://discord.gg/FngNHpbcY7)。👉：分享您的应用程序并与社区交流。 - [Discord](https://discord.gg/FngNHpbcY7)。👉：分享您的应用程序并与社区交流。

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<p align="center"> <p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Einführung in Dify Workflow File Upload: Google NotebookLM Podcast nachbilden</a> 📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Einführung in Dify Workflow File Upload: Google NotebookLM Podcast nachbilden</a>
@ -83,11 +83,6 @@ Bitte beachten Sie unsere [FAQ](https://docs.dify.ai/getting-started/install-sel
**1. Workflow**: **1. Workflow**:
Erstellen und testen Sie leistungsstarke KI-Workflows auf einer visuellen Oberfläche, wobei Sie alle der folgenden Funktionen und darüber hinaus nutzen können. Erstellen und testen Sie leistungsstarke KI-Workflows auf einer visuellen Oberfläche, wobei Sie alle der folgenden Funktionen und darüber hinaus nutzen können.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Umfassende Modellunterstützung**: **2. Umfassende Modellunterstützung**:
Nahtlose Integration mit Hunderten von proprietären und Open-Source-LLMs von Dutzenden Inferenzanbietern und selbstgehosteten Lösungen, die GPT, Mistral, Llama3 und alle mit der OpenAI API kompatiblen Modelle abdecken. Eine vollständige Liste der unterstützten Modellanbieter finden Sie [hier](https://docs.dify.ai/getting-started/readme/model-providers). Nahtlose Integration mit Hunderten von proprietären und Open-Source-LLMs von Dutzenden Inferenzanbietern und selbstgehosteten Lösungen, die GPT, Mistral, Llama3 und alle mit der OpenAI API kompatiblen Modelle abdecken. Eine vollständige Liste der unterstützten Modellanbieter finden Sie [hier](https://docs.dify.ai/getting-started/readme/model-providers).
@ -235,7 +230,7 @@ Falls Sie Code beitragen möchten, lesen Sie bitte unseren [Contribution Guide](
## Gemeinschaft & Kontakt ## Gemeinschaft & Kontakt
* [Github Discussion](https://github.com/langgenius/dify/discussions). Am besten geeignet für: den Austausch von Feedback und das Stellen von Fragen. * [GitHub Discussion](https://github.com/langgenius/dify/discussions). Am besten geeignet für: den Austausch von Feedback und das Stellen von Fragen.
* [GitHub Issues](https://github.com/langgenius/dify/issues). Am besten für: Fehler, auf die Sie bei der Verwendung von Dify.AI stoßen, und Funktionsvorschläge. Siehe unseren [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). * [GitHub Issues](https://github.com/langgenius/dify/issues). Am besten für: Fehler, auf die Sie bei der Verwendung von Dify.AI stoßen, und Funktionsvorschläge. Siehe unseren [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).
* [Discord](https://discord.gg/FngNHpbcY7). Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community. * [Discord](https://discord.gg/FngNHpbcY7). Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community.
* [X(Twitter)](https://twitter.com/dify_ai). Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community. * [X(Twitter)](https://twitter.com/dify_ai). Am besten geeignet für: den Austausch von Bewerbungen und den Austausch mit der Community.

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<p align="center"> <p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> · <a href="https://cloud.dify.ai">Dify Cloud</a> ·
@ -59,11 +59,6 @@ Dify es una plataforma de desarrollo de aplicaciones de LLM de código abierto.
**1. Flujo de trabajo**: **1. Flujo de trabajo**:
Construye y prueba potentes flujos de trabajo de IA en un lienzo visual, aprovechando todas las siguientes características y más. Construye y prueba potentes flujos de trabajo de IA en un lienzo visual, aprovechando todas las siguientes características y más.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Soporte de modelos completo**: **2. Soporte de modelos completo**:
Integración perfecta con cientos de LLMs propietarios / de código abierto de docenas de proveedores de inferencia y soluciones auto-alojadas, que cubren GPT, Mistral, Llama3 y cualquier modelo compatible con la API de OpenAI. Se puede encontrar una lista completa de proveedores de modelos admitidos [aquí](https://docs.dify.ai/getting-started/readme/model-providers). Integración perfecta con cientos de LLMs propietarios / de código abierto de docenas de proveedores de inferencia y soluciones auto-alojadas, que cubren GPT, Mistral, Llama3 y cualquier modelo compatible con la API de OpenAI. Se puede encontrar una lista completa de proveedores de modelos admitidos [aquí](https://docs.dify.ai/getting-started/readme/model-providers).

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![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab) ![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center"> <p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> · <a href="https://cloud.dify.ai">Dify Cloud</a> ·
@ -59,11 +59,6 @@ Dify est une plateforme de développement d'applications LLM open source. Son in
**1. Flux de travail** : **1. Flux de travail** :
Construisez et testez des flux de travail d'IA puissants sur un canevas visuel, en utilisant toutes les fonctionnalités suivantes et plus encore. Construisez et testez des flux de travail d'IA puissants sur un canevas visuel, en utilisant toutes les fonctionnalités suivantes et plus encore.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Prise en charge complète des modèles** : **2. Prise en charge complète des modèles** :
Intégration transparente avec des centaines de LLM propriétaires / open source provenant de dizaines de fournisseurs d'inférence et de solutions auto-hébergées, couvrant GPT, Mistral, Llama3, et tous les modèles compatibles avec l'API OpenAI. Une liste complète des fournisseurs de modèles pris en charge se trouve [ici](https://docs.dify.ai/getting-started/readme/model-providers). Intégration transparente avec des centaines de LLM propriétaires / open source provenant de dizaines de fournisseurs d'inférence et de solutions auto-hébergées, couvrant GPT, Mistral, Llama3, et tous les modèles compatibles avec l'API OpenAI. Une liste complète des fournisseurs de modèles pris en charge se trouve [ici](https://docs.dify.ai/getting-started/readme/model-providers).

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![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab) ![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center"> <p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> · <a href="https://cloud.dify.ai">Dify Cloud</a> ·
@ -60,11 +60,6 @@ DifyはオープンソースのLLMアプリケーション開発プラットフ
**1. ワークフロー**: **1. ワークフロー**:
強力なAIワークフローをビジュアルキャンバス上で構築し、テストできます。すべての機能、および以下の機能を使用できます。 強力なAIワークフローをビジュアルキャンバス上で構築し、テストできます。すべての機能、および以下の機能を使用できます。
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. 総合的なモデルサポート**: **2. 総合的なモデルサポート**:
数百ものプロプライエタリ/オープンソースのLLMと、数十もの推論プロバイダーおよびセルフホスティングソリューションとのシームレスな統合を提供します。GPT、Mistral、Llama3、OpenAI APIと互換性のあるすべてのモデルを統合されています。サポートされているモデルプロバイダーの完全なリストは[こちら](https://docs.dify.ai/getting-started/readme/model-providers)をご覧ください。 数百ものプロプライエタリ/オープンソースのLLMと、数十もの推論プロバイダーおよびセルフホスティングソリューションとのシームレスな統合を提供します。GPT、Mistral、Llama3、OpenAI APIと互換性のあるすべてのモデルを統合されています。サポートされているモデルプロバイダーの完全なリストは[こちら](https://docs.dify.ai/getting-started/readme/model-providers)をご覧ください。
@ -241,7 +236,7 @@ docker compose up -d
## コミュニティ & お問い合わせ ## コミュニティ & お問い合わせ
* [Github Discussion](https://github.com/langgenius/dify/discussions). 主に: フィードバックの共有や質問。 * [GitHub Discussion](https://github.com/langgenius/dify/discussions). 主に: フィードバックの共有や質問。
* [GitHub Issues](https://github.com/langgenius/dify/issues). 主に: Dify.AIを使用する際に発生するエラーや問題については、[貢献ガイド](CONTRIBUTING_JA.md)を参照してください * [GitHub Issues](https://github.com/langgenius/dify/issues). 主に: Dify.AIを使用する際に発生するエラーや問題については、[貢献ガイド](CONTRIBUTING_JA.md)を参照してください
* [Discord](https://discord.gg/FngNHpbcY7). 主に: アプリケーションの共有やコミュニティとの交流。 * [Discord](https://discord.gg/FngNHpbcY7). 主に: アプリケーションの共有やコミュニティとの交流。
* [X(Twitter)](https://twitter.com/dify_ai). 主に: アプリケーションの共有やコミュニティとの交流。 * [X(Twitter)](https://twitter.com/dify_ai). 主に: アプリケーションの共有やコミュニティとの交流。

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<p align="center"> <p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> · <a href="https://cloud.dify.ai">Dify Cloud</a> ·
@ -59,11 +59,6 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
**1. Workflow**: **1. Workflow**:
Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond. Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Comprehensive model support**: **2. Comprehensive model support**:
Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers). Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers).
@ -240,7 +235,7 @@ At the same time, please consider supporting Dify by sharing it on social media
## Community & Contact ## Community & Contact
* [Github Discussion](https://github.com/langgenius/dify/discussions * [GitHub Discussion](https://github.com/langgenius/dify/discussions
). Best for: sharing feedback and asking questions. ). Best for: sharing feedback and asking questions.
* [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md). * [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).

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<p align="center"> <p align="center">
<a href="https://cloud.dify.ai">Dify 클라우드</a> · <a href="https://cloud.dify.ai">Dify 클라우드</a> ·
@ -54,11 +54,6 @@
**1. 워크플로우**: **1. 워크플로우**:
다음 기능들을 비롯한 다양한 기능을 활용하여 시각적 캔버스에서 강력한 AI 워크플로우를 구축하고 테스트하세요. 다음 기능들을 비롯한 다양한 기능을 활용하여 시각적 캔버스에서 강력한 AI 워크플로우를 구축하고 테스트하세요.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. 포괄적인 모델 지원:**: **2. 포괄적인 모델 지원:**:
수십 개의 추론 제공업체와 자체 호스팅 솔루션에서 제공하는 수백 개의 독점 및 오픈 소스 LLM과 원활하게 통합되며, GPT, Mistral, Llama3 및 모든 OpenAI API 호환 모델을 포함합니다. 지원되는 모델 제공업체의 전체 목록은 [여기](https://docs.dify.ai/getting-started/readme/model-providers)에서 확인할 수 있습니다. 수십 개의 추론 제공업체와 자체 호스팅 솔루션에서 제공하는 수백 개의 독점 및 오픈 소스 LLM과 원활하게 통합되며, GPT, Mistral, Llama3 및 모든 OpenAI API 호환 모델을 포함합니다. 지원되는 모델 제공업체의 전체 목록은 [여기](https://docs.dify.ai/getting-started/readme/model-providers)에서 확인할 수 있습니다.
@ -234,7 +229,7 @@ Dify를 Kubernetes에 배포하고 프리미엄 스케일링 설정을 구성했
## 커뮤니티 & 연락처 ## 커뮤니티 & 연락처
* [Github 토론](https://github.com/langgenius/dify/discussions). 피드백 공유 및 질문하기에 적합합니다. * [GitHub 토론](https://github.com/langgenius/dify/discussions). 피드백 공유 및 질문하기에 적합합니다.
* [GitHub 이슈](https://github.com/langgenius/dify/issues). Dify.AI 사용 중 발견한 버그와 기능 제안에 적합합니다. [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요. * [GitHub 이슈](https://github.com/langgenius/dify/issues). Dify.AI 사용 중 발견한 버그와 기능 제안에 적합합니다. [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
* [디스코드](https://discord.gg/FngNHpbcY7). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다. * [디스코드](https://discord.gg/FngNHpbcY7). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
* [트위터](https://twitter.com/dify_ai). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다. * [트위터](https://twitter.com/dify_ai). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.

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<p align="center"> <p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introduzindo o Dify Workflow com Upload de Arquivo: Recrie o Podcast Google NotebookLM</a> 📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introduzindo o Dify Workflow com Upload de Arquivo: Recrie o Podcast Google NotebookLM</a>
</p> </p>
@ -59,11 +58,6 @@ Dify é uma plataforma de desenvolvimento de aplicativos LLM de código aberto.
**1. Workflow**: **1. Workflow**:
Construa e teste workflows poderosos de IA em uma interface visual, aproveitando todos os recursos a seguir e muito mais. Construa e teste workflows poderosos de IA em uma interface visual, aproveitando todos os recursos a seguir e muito mais.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Suporte abrangente a modelos**: **2. Suporte abrangente a modelos**:
Integração perfeita com centenas de LLMs proprietários e de código aberto de diversas provedoras e soluções auto-hospedadas, abrangendo GPT, Mistral, Llama3 e qualquer modelo compatível com a API da OpenAI. A lista completa de provedores suportados pode ser encontrada [aqui](https://docs.dify.ai/getting-started/readme/model-providers). Integração perfeita com centenas de LLMs proprietários e de código aberto de diversas provedoras e soluções auto-hospedadas, abrangendo GPT, Mistral, Llama3 e qualquer modelo compatível com a API da OpenAI. A lista completa de provedores suportados pode ser encontrada [aqui](https://docs.dify.ai/getting-started/readme/model-providers).

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<p align="center"> <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> 📌 <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>
<p align="center"> <p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> · <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/getting-started/install-self-hosted">Samostojno gostovanje</a> ·
<a href="https://docs.dify.ai">Dokumentacija</a> · <a href="https://docs.dify.ai">Dokumentacija</a> ·
<a href="https://dify.ai/pricing">Pregled ponudb izdelkov Dify</a> <a href="https://dify.ai/pricing">Pregled ponudb izdelkov Dify</a>
</p> </p>
<p align="center"> <p align="center">
<a href="https://dify.ai" target="_blank"> <a href="https://dify.ai" target="_blank">
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a> <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
<a href="https://dify.ai/pricing" target="_blank"> <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> <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"> <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" <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
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</p> </p>
<p align="center"> <p align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a> <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
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</p> </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. 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 ## Hitri začetek
> Preden namestite Dify, se prepričajte, da vaša naprava izpolnjuje naslednje minimalne sistemske zahteve: > Preden namestite Dify, se prepričajte, da vaša naprava izpolnjuje naslednje minimalne sistemske zahteve:
> >
>- CPU >= 2 Core >- CPU >= 2 Core
>- RAM >= 4 GiB >- RAM >= 4 GiB
</br> </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: 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 ```bash
cd dify cd dify
cd docker cd docker
cp .env.example .env cp .env.example .env
docker compose up -d 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. Po zagonu lahko dostopate do nadzorne plošče Dify v brskalniku na [http://localhost/install](http://localhost/install) in začnete postopek inicializacije.
#### Iskanje pomoči #### 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). 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) > 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 ## Ključne značilnosti
**1. Potek dela**: **1. Potek dela**:
Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več. Zgradite in preizkusite zmogljive poteke dela AI na vizualnem platnu, pri čemer izkoristite vse naslednje funkcije in več.
**2. Celovita podpora za modele**:
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa 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)
**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). **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.
![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
**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.
**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. **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.
**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. **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.
**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. **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.
**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. ## Primerjava Funkcij
**7. Backend-as-a-Service**: <table style="width: 100%;">
AVse ponudbe Difyja so opremljene z ustreznimi API-ji, tako da lahko Dify brez težav integrirate v svojo poslovno logiko. <tr>
<th align="center">Funkcija</th>
## Primerjava Funkcij <th align="center">Dify.AI</th>
<th align="center">LangChain</th>
<table style="width: 100%;"> <th align="center">Flowise</th>
<tr> <th align="center">OpenAI Assistants API</th>
<th align="center">Funkcija</th> </tr>
<th align="center">Dify.AI</th> <tr>
<th align="center">LangChain</th> <td align="center">Programski pristop</td>
<th align="center">Flowise</th> <td align="center">API + usmerjeno v aplikacije</td>
<th align="center">OpenAI Assistants API</th> <td align="center">Python koda</td>
</tr> <td align="center">Usmerjeno v aplikacije</td>
<tr> <td align="center">Usmerjeno v API</td>
<td align="center">Programski pristop</td> </tr>
<td align="center">API + usmerjeno v aplikacije</td> <tr>
<td align="center">Python koda</td> <td align="center">Podprti LLM-ji</td>
<td align="center">Usmerjeno v aplikacije</td> <td align="center">Bogata izbira</td>
<td align="center">Usmerjeno v API</td> <td align="center">Bogata izbira</td>
</tr> <td align="center">Bogata izbira</td>
<tr> <td align="center">Samo OpenAI</td>
<td align="center">Podprti LLM-ji</td> </tr>
<td align="center">Bogata izbira</td> <tr>
<td align="center">Bogata izbira</td> <td align="center">RAG pogon</td>
<td align="center">Bogata izbira</td> <td align="center">✅</td>
<td align="center">Samo OpenAI</td> <td align="center">✅</td>
</tr> <td align="center">✅</td>
<tr> <td align="center">✅</td>
<td align="center">RAG pogon</td> </tr>
<td align="center">✅</td> <tr>
<td align="center">✅</td> <td align="center">Agent</td>
<td align="center">✅</td> <td align="center">✅</td>
<td align="center">✅</td> <td align="center">✅</td>
</tr> <td align="center">❌</td>
<tr> <td align="center">✅</td>
<td align="center">Agent</td> </tr>
<td align="center">✅</td> <tr>
<td align="center">✅</td> <td align="center">Potek dela</td>
<td align="center">❌</td> <td align="center">✅</td>
<td align="center">✅</td> <td align="center">❌</td>
</tr> <td align="center">✅</td>
<tr> <td align="center">❌</td>
<td align="center">Potek dela</td> </tr>
<td align="center">✅</td> <tr>
<td align="center">❌</td> <td align="center">Spremljanje</td>
<td align="center">✅</td> <td align="center">✅</td>
<td align="center">❌</td> <td align="center">✅</td>
</tr> <td align="center">❌</td>
<tr> <td align="center">❌</td>
<td align="center">Spremljanje</td> </tr>
<td align="center">✅</td> <tr>
<td align="center">✅</td> <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> <td align="center">❌</td>
<tr> <td align="center">❌</td>
<td align="center">Funkcija za podjetja (SSO/nadzor dostopa)</td> </tr>
<td align="center">✅</td> <tr>
<td align="center">❌</td> <td align="center">Lokalna namestitev</td>
<td align="center">❌</td> <td align="center">✅</td>
<td align="center">❌</td> <td align="center">✅</td>
</tr> <td align="center">✅</td>
<tr> <td align="center">❌</td>
<td align="center">Lokalna namestitev</td> </tr>
<td align="center">✅</td> </table>
<td align="center">✅</td>
<td align="center">✅</td> ## Uporaba Dify
<td align="center">❌</td>
</tr> - **Cloud </br>**
</table> 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.
## Uporaba Dify - **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) .
- **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.
- **Dify za podjetja/organizacije</br>**
- **Self-hosting Dify Community Edition</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>
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) . > 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.
- **Dify za podjetja/organizacije</br>** ## Staying ahead
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. 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)
## Staying ahead
Star Dify on GitHub and be instantly notified of new releases. ## Napredne nastavitve
![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4) 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.
## Napredne nastavitve
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
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 . - [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
Če želite konfigurirati visoko razpoložljivo nastavitev, so na voljo Helm Charts in datoteke YAML, ki jih prispeva skupnost, ki omogočajo uvedbo Difyja v Kubernetes. - [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify) #### Uporaba Terraform za uvajanje
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes) namestite Dify v Cloud Platform z enim klikom z uporabo [terraform](https://www.terraform.io/)
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
##### Azure Global
#### Uporaba Terraform za uvajanje - [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
namestite Dify v Cloud Platform z enim klikom z uporabo [terraform](https://www.terraform.io/) ##### Google Cloud
- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
##### Azure Global
- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform) #### Uporaba AWS CDK za uvajanje
##### Google Cloud Uvedite Dify v AWS z uporabo [CDK](https://aws.amazon.com/cdk/)
- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
##### AWS
#### Uporaba AWS CDK za uvajanje - [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
Uvedite Dify v AWS z uporabo [CDK](https://aws.amazon.com/cdk/) ## Prispevam
##### AWS 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.
- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
## Prispevam
> 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 .
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.
## Skupnost in stik
* [GitHub Discussion](https://github.com/langgenius/dify/discussions). Najboljše za: izmenjavo povratnih informacij in postavljanje vprašanj.
> 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 . * [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.
## Skupnost in stik * [X(Twitter)](https://twitter.com/dify_ai). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo.
* [Github Discussion](https://github.com/langgenius/dify/discussions). Najboljše za: izmenjavo povratnih informacij in postavljanje vprašanj. **Contributors**
* [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. <a href="https://github.com/langgenius/dify/graphs/contributors">
* [X(Twitter)](https://twitter.com/dify_ai). Najboljše za: deljenje vaših aplikacij in druženje s skupnostjo. <img src="https://contrib.rocks/image?repo=langgenius/dify" />
</a>
**Contributors**
## Star history
<a href="https://github.com/langgenius/dify/graphs/contributors">
<img src="https://contrib.rocks/image?repo=langgenius/dify" /> [![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
</a>
## Star history ## Varnostno razkritje
[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date) 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
## Varnostno razkritje
To skladišče je na voljo pod [odprtokodno licenco Dify](LICENSE) , ki je v bistvu Apache 2.0 z nekaj dodatnimi omejitvami.
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.

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README_TR.md
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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab) ![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center"> <p align="center">
<a href="https://cloud.dify.ai">Dify Bulut</a> · <a href="https://cloud.dify.ai">Dify Bulut</a> ·
@ -55,11 +55,6 @@ Dify, açık kaynaklı bir LLM uygulama geliştirme platformudur. Sezgisel aray
**1. Workflow**: **1. Workflow**:
Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edin, aşağıdaki tüm özellikleri ve daha fazlasını kullanarak. Görsel bir arayüz üzerinde güçlü AI iş akışları oluşturun ve test edin, aşağıdaki tüm özellikleri ve daha fazlasını kullanarak.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Kapsamlı model desteği**: **2. Kapsamlı model desteği**:
Çok sayıda çıkarım sağlayıcısı ve kendi kendine barındırılan çözümlerden yüzlerce özel / açık kaynaklı LLM ile sorunsuz entegrasyon sağlar. GPT, Mistral, Llama3 ve OpenAI API uyumlu tüm modelleri kapsar. Desteklenen model sağlayıcılarının tam listesine [buradan](https://docs.dify.ai/getting-started/readme/model-providers) ulaşabilirsiniz. Çok sayıda çıkarım sağlayıcısı ve kendi kendine barındırılan çözümlerden yüzlerce özel / açık kaynaklı LLM ile sorunsuz entegrasyon sağlar. GPT, Mistral, Llama3 ve OpenAI API uyumlu tüm modelleri kapsar. Desteklenen model sağlayıcılarının tam listesine [buradan](https://docs.dify.ai/getting-started/readme/model-providers) ulaşabilirsiniz.
@ -232,7 +227,7 @@ Aynı zamanda, lütfen Dify'ı sosyal medyada, etkinliklerde ve konferanslarda p
## Topluluk & iletişim ## Topluluk & iletişim
* [Github Tartışmaları](https://github.com/langgenius/dify/discussions). En uygun: geri bildirim paylaşmak ve soru sormak için. * [GitHub Tartışmaları](https://github.com/langgenius/dify/discussions). En uygun: geri bildirim paylaşmak ve soru sormak için.
* [GitHub Sorunları](https://github.com/langgenius/dify/issues). En uygun: Dify.AI kullanırken karşılaştığınız hatalar ve özellik önerileri için. [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakın. * [GitHub Sorunları](https://github.com/langgenius/dify/issues). En uygun: Dify.AI kullanırken karşılaştığınız hatalar ve özellik önerileri için. [Katkı Kılavuzumuza](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md) bakın.
* [Discord](https://discord.gg/FngNHpbcY7). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için. * [Discord](https://discord.gg/FngNHpbcY7). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.
* [X(Twitter)](https://twitter.com/dify_ai). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için. * [X(Twitter)](https://twitter.com/dify_ai). En uygun: uygulamalarınızı paylaşmak ve toplulukla vakit geçirmek için.

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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab) ![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center"> <p align="center">
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">介紹 Dify 工作流程檔案上傳功能：重現 Google NotebookLM Podcast</a> 📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">介紹 Dify 工作流程檔案上傳功能：重現 Google NotebookLM Podcast</a>
@ -86,8 +86,6 @@ docker compose up -d
**1. 工作流程**： **1. 工作流程**：
在視覺化畫布上建立和測試強大的 AI 工作流程，利用以下所有功能及更多。 在視覺化畫布上建立和測試強大的 AI 工作流程，利用以下所有功能及更多。
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. 全面的模型支援**： **2. 全面的模型支援**：
無縫整合來自數十個推理提供商和自託管解決方案的數百個專有/開源 LLM，涵蓋 GPT、Mistral、Llama3 和任何與 OpenAI API 兼容的模型。您可以在[此處](https://docs.dify.ai/getting-started/readme/model-providers)找到支援的模型提供商完整列表。 無縫整合來自數十個推理提供商和自託管解決方案的數百個專有/開源 LLM，涵蓋 GPT、Mistral、Llama3 和任何與 OpenAI API 兼容的模型。您可以在[此處](https://docs.dify.ai/getting-started/readme/model-providers)找到支援的模型提供商完整列表。
@ -235,7 +233,7 @@ Dify 的所有功能都提供相應的 API，因此您可以輕鬆地將 Dify
## 社群與聯絡方式 ## 社群與聯絡方式
- [Github Discussion](https://github.com/langgenius/dify/discussions)：最適合分享反饋和提問。 - [GitHub Discussion](https://github.com/langgenius/dify/discussions)：最適合分享反饋和提問。
- [GitHub Issues](https://github.com/langgenius/dify/issues)：最適合報告使用 Dify.AI 時遇到的問題和提出功能建議。請參閱我們的[貢獻指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。 - [GitHub Issues](https://github.com/langgenius/dify/issues)：最適合報告使用 Dify.AI 時遇到的問題和提出功能建議。請參閱我們的[貢獻指南](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)。
- [Discord](https://discord.gg/FngNHpbcY7)：最適合分享您的應用程式並與社群互動。 - [Discord](https://discord.gg/FngNHpbcY7)：最適合分享您的應用程式並與社群互動。
- [X(Twitter)](https://twitter.com/dify_ai)：最適合分享您的應用程式並與社群互動。 - [X(Twitter)](https://twitter.com/dify_ai)：最適合分享您的應用程式並與社群互動。

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@ -1,4 +1,4 @@
![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab) ![cover-v5-optimized](./images/GitHub_README_if.png)
<p align="center"> <p align="center">
<a href="https://cloud.dify.ai">Dify Cloud</a> · <a href="https://cloud.dify.ai">Dify Cloud</a> ·
@ -55,11 +55,6 @@ Dify là một nền tảng phát triển ứng dụng LLM mã nguồn mở. Gia
**1. Quy trình làm việc**: **1. Quy trình làm việc**:
Xây dựng và kiểm tra các quy trình làm việc AI mạnh mẽ trên một canvas trực quan, tận dụng tất cả các tính năng sau đây và hơn thế nữa. Xây dựng và kiểm tra các quy trình làm việc AI mạnh mẽ trên một canvas trực quan, tận dụng tất cả các tính năng sau đây và hơn thế nữa.
https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
**2. Hỗ trợ mô hình toàn diện**: **2. Hỗ trợ mô hình toàn diện**:
Tích hợp liền mạch với hàng trăm mô hình LLM độc quyền / mã nguồn mở từ hàng chục nhà cung cấp suy luận và giải pháp tự lưu trữ, bao gồm GPT, Mistral, Llama3, và bất kỳ mô hình tương thích API OpenAI nào. Danh sách đầy đủ các nhà cung cấp mô hình được hỗ trợ có thể được tìm thấy [tại đây](https://docs.dify.ai/getting-started/readme/model-providers). Tích hợp liền mạch với hàng trăm mô hình LLM độc quyền / mã nguồn mở từ hàng chục nhà cung cấp suy luận và giải pháp tự lưu trữ, bao gồm GPT, Mistral, Llama3, và bất kỳ mô hình tương thích API OpenAI nào. Danh sách đầy đủ các nhà cung cấp mô hình được hỗ trợ có thể được tìm thấy [tại đây](https://docs.dify.ai/getting-started/readme/model-providers).

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api/.dockerignore
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@ -16,4 +16,4 @@ logs
.ruff_cache .ruff_cache
# venv # venv
.venv .venv

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api/.env.example
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@ -152,6 +152,7 @@ QDRANT_API_KEY=difyai123456
QDRANT_CLIENT_TIMEOUT=20 QDRANT_CLIENT_TIMEOUT=20
QDRANT_GRPC_ENABLED=false QDRANT_GRPC_ENABLED=false
QDRANT_GRPC_PORT=6334 QDRANT_GRPC_PORT=6334
QDRANT_REPLICATION_FACTOR=1
#Couchbase configuration #Couchbase configuration
COUCHBASE_CONNECTION_STRING=127.0.0.1 COUCHBASE_CONNECTION_STRING=127.0.0.1
@ -269,6 +270,7 @@ OPENSEARCH_PORT=9200
OPENSEARCH_USER=admin OPENSEARCH_USER=admin
OPENSEARCH_PASSWORD=admin OPENSEARCH_PASSWORD=admin
OPENSEARCH_SECURE=true OPENSEARCH_SECURE=true
OPENSEARCH_VERIFY_CERTS=true
# Baidu configuration # Baidu configuration
BAIDU_VECTOR_DB_ENDPOINT=http://127.0.0.1:5287 BAIDU_VECTOR_DB_ENDPOINT=http://127.0.0.1:5287
@ -297,6 +299,7 @@ LINDORM_URL=http://ld-*******************-proxy-search-pub.lindorm.aliyuncs.com:
LINDORM_USERNAME=admin LINDORM_USERNAME=admin
LINDORM_PASSWORD=admin LINDORM_PASSWORD=admin
USING_UGC_INDEX=False USING_UGC_INDEX=False
LINDORM_QUERY_TIMEOUT=1
# OceanBase Vector configuration # OceanBase Vector configuration
OCEANBASE_VECTOR_HOST=127.0.0.1 OCEANBASE_VECTOR_HOST=127.0.0.1
@ -347,6 +350,7 @@ SENTRY_DSN=
# DEBUG # DEBUG
DEBUG=false DEBUG=false
ENABLE_REQUEST_LOGGING=False
SQLALCHEMY_ECHO=false SQLALCHEMY_ECHO=false
# Notion import configuration, support public and internal # Notion import configuration, support public and internal
@ -475,6 +479,7 @@ LOGIN_LOCKOUT_DURATION=86400
ENABLE_OTEL=false ENABLE_OTEL=false
OTLP_BASE_ENDPOINT=http://localhost:4318 OTLP_BASE_ENDPOINT=http://localhost:4318
OTLP_API_KEY= OTLP_API_KEY=
OTEL_EXPORTER_OTLP_PROTOCOL=
OTEL_EXPORTER_TYPE=otlp OTEL_EXPORTER_TYPE=otlp
OTEL_SAMPLING_RATE=0.1 OTEL_SAMPLING_RATE=0.1
OTEL_BATCH_EXPORT_SCHEDULE_DELAY=5000 OTEL_BATCH_EXPORT_SCHEDULE_DELAY=5000
@ -486,3 +491,10 @@ OTEL_METRIC_EXPORT_TIMEOUT=30000
# Prevent Clickjacking # Prevent Clickjacking
ALLOW_EMBED=false ALLOW_EMBED=false
# Dataset queue monitor configuration
QUEUE_MONITOR_THRESHOLD=200
# You can configure multiple ones, separated by commas. eg: test1@dify.ai,test2@dify.ai
QUEUE_MONITOR_ALERT_EMAILS=
# Monitor interval in minutes, default is 30 minutes
QUEUE_MONITOR_INTERVAL=30

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api/.ruff.toml
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@ -43,6 +43,7 @@ select = [
"S307", # suspicious-eval-usage, disallow use of `eval` and `ast.literal_eval` "S307", # suspicious-eval-usage, disallow use of `eval` and `ast.literal_eval`
"S301", # suspicious-pickle-usage, disallow use of `pickle` and its wrappers. "S301", # suspicious-pickle-usage, disallow use of `pickle` and its wrappers.
"S302", # suspicious-marshal-usage, disallow use of `marshal` module "S302", # suspicious-marshal-usage, disallow use of `marshal` module
"S311", # suspicious-non-cryptographic-random-usage
] ]
ignore = [ ignore = [

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api/Dockerfile
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@ -4,7 +4,7 @@ FROM python:3.12-slim-bookworm AS base
WORKDIR /app/api WORKDIR /app/api
# Install uv # Install uv
ENV UV_VERSION=0.6.14 ENV UV_VERSION=0.7.11
RUN pip install --no-cache-dir uv==${UV_VERSION} RUN pip install --no-cache-dir uv==${UV_VERSION}

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api/README.md
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@ -90,3 +90,4 @@
```bash ```bash
uv run -P api bash dev/pytest/pytest_all_tests.sh uv run -P api bash dev/pytest/pytest_all_tests.sh
``` ```

2
api/app.py
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@ -18,7 +18,7 @@ else:
# so we need to disable gevent in debug mode. # so we need to disable gevent in debug mode.
# If you are using debugpy and set GEVENT_SUPPORT=True, you can debug with gevent. # If you are using debugpy and set GEVENT_SUPPORT=True, you can debug with gevent.
if (flask_debug := os.environ.get("FLASK_DEBUG", "0")) and flask_debug.lower() in {"false", "0", "no"}: if (flask_debug := os.environ.get("FLASK_DEBUG", "0")) and flask_debug.lower() in {"false", "0", "no"}:
from gevent import monkey # type: ignore from gevent import monkey
# gevent # gevent
monkey.patch_all() monkey.patch_all()

6
api/app_factory.py
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@ -52,10 +52,9 @@ def initialize_extensions(app: DifyApp):
ext_mail, ext_mail,
ext_migrate, ext_migrate,
ext_otel, ext_otel,
ext_otel_patch,
ext_proxy_fix, ext_proxy_fix,
ext_redis, ext_redis,
ext_repositories, ext_request_logging,
ext_sentry, ext_sentry,
ext_set_secretkey, ext_set_secretkey,
ext_storage, ext_storage,
@ -76,7 +75,6 @@ def initialize_extensions(app: DifyApp):
ext_migrate, ext_migrate,
ext_redis, ext_redis,
ext_storage, ext_storage,
ext_repositories,
ext_celery, ext_celery,
ext_login, ext_login,
ext_mail, ext_mail,
@ -85,8 +83,8 @@ def initialize_extensions(app: DifyApp):
ext_proxy_fix, ext_proxy_fix,
ext_blueprints, ext_blueprints,
ext_commands, ext_commands,
ext_otel_patch, # Apply patch before initializing OpenTelemetry
ext_otel, ext_otel,
ext_request_logging,
] ]
for ext in extensions: for ext in extensions:
short_name = ext.__name__.split(".")[-1] short_name = ext.__name__.split(".")[-1]

376
api/commands.py
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@ -6,6 +6,7 @@ from typing import Optional
import click import click
from flask import current_app from flask import current_app
from sqlalchemy import select
from werkzeug.exceptions import NotFound from werkzeug.exceptions import NotFound
from configs import dify_config from configs import dify_config
@ -17,6 +18,7 @@ from core.rag.models.document import Document
from events.app_event import app_was_created from events.app_event import app_was_created
from extensions.ext_database import db from extensions.ext_database import db
from extensions.ext_redis import redis_client from extensions.ext_redis import redis_client
from extensions.ext_storage import storage
from libs.helper import email as email_validate from libs.helper import email as email_validate
from libs.password import hash_password, password_pattern, valid_password from libs.password import hash_password, password_pattern, valid_password
from libs.rsa import generate_key_pair from libs.rsa import generate_key_pair
@ -25,7 +27,7 @@ from models.dataset import Dataset, DatasetCollectionBinding, DatasetMetadata, D
from models.dataset import Document as DatasetDocument from models.dataset import Document as DatasetDocument
from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation
from models.provider import Provider, ProviderModel from models.provider import Provider, ProviderModel
from services.account_service import RegisterService, TenantService from services.account_service import AccountService, RegisterService, TenantService
from services.clear_free_plan_tenant_expired_logs import ClearFreePlanTenantExpiredLogs from services.clear_free_plan_tenant_expired_logs import ClearFreePlanTenantExpiredLogs
from services.plugin.data_migration import PluginDataMigration from services.plugin.data_migration import PluginDataMigration
from services.plugin.plugin_migration import PluginMigration from services.plugin.plugin_migration import PluginMigration
@ -66,6 +68,7 @@ def reset_password(email, new_password, password_confirm):
account.password = base64_password_hashed account.password = base64_password_hashed
account.password_salt = base64_salt account.password_salt = base64_salt
db.session.commit() db.session.commit()
AccountService.reset_login_error_rate_limit(email)
click.echo(click.style("Password reset successfully.", fg="green")) click.echo(click.style("Password reset successfully.", fg="green"))
@ -271,6 +274,7 @@ def migrate_knowledge_vector_database():
upper_collection_vector_types = { upper_collection_vector_types = {
VectorType.MILVUS, VectorType.MILVUS,
VectorType.PGVECTOR, VectorType.PGVECTOR,
VectorType.VASTBASE,
VectorType.RELYT, VectorType.RELYT,
VectorType.WEAVIATE, VectorType.WEAVIATE,
VectorType.ORACLE, VectorType.ORACLE,
@ -295,11 +299,11 @@ def migrate_knowledge_vector_database():
page = 1 page = 1
while True: while True:
try: try:
datasets = ( stmt = (
Dataset.query.filter(Dataset.indexing_technique == "high_quality") select(Dataset).filter(Dataset.indexing_technique == "high_quality").order_by(Dataset.created_at.desc())
.order_by(Dataset.created_at.desc())
.paginate(page=page, per_page=50)
) )
datasets = db.paginate(select=stmt, page=page, per_page=50, max_per_page=50, error_out=False)
except NotFound: except NotFound:
break break
@ -442,13 +446,13 @@ def convert_to_agent_apps():
WHERE a.mode = 'chat' WHERE a.mode = 'chat'
AND am.agent_mode is not null AND am.agent_mode is not null
AND ( AND (
am.agent_mode like '%"strategy": "function_call"%' am.agent_mode like '%"strategy": "function_call"%'
OR am.agent_mode like '%"strategy": "react"%' OR am.agent_mode like '%"strategy": "react"%'
) )
AND ( AND (
am.agent_mode like '{"enabled": true%' am.agent_mode like '{"enabled": true%'
OR am.agent_mode like '{"max_iteration": %' 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: with db.engine.begin() as conn:
@ -549,11 +553,12 @@ def old_metadata_migration():
page = 1 page = 1
while True: while True:
try: try:
documents = ( stmt = (
DatasetDocument.query.filter(DatasetDocument.doc_metadata is not None) select(DatasetDocument)
.filter(DatasetDocument.doc_metadata.is_not(None))
.order_by(DatasetDocument.created_at.desc()) .order_by(DatasetDocument.created_at.desc())
.paginate(page=page, per_page=50)
) )
documents = db.paginate(select=stmt, page=page, per_page=50, max_per_page=50, error_out=False)
except NotFound: except NotFound:
break break
if not documents: if not documents:
@ -590,11 +595,15 @@ def old_metadata_migration():
) )
db.session.add(dataset_metadata_binding) db.session.add(dataset_metadata_binding)
else: else:
dataset_metadata_binding = DatasetMetadataBinding.query.filter( dataset_metadata_binding = (
DatasetMetadataBinding.dataset_id == document.dataset_id, db.session.query(DatasetMetadataBinding) # type: ignore
DatasetMetadataBinding.document_id == document.id, .filter(
DatasetMetadataBinding.metadata_id == dataset_metadata.id, DatasetMetadataBinding.dataset_id == document.dataset_id,
).first() DatasetMetadataBinding.document_id == document.id,
DatasetMetadataBinding.metadata_id == dataset_metadata.id,
)
.first()
)
if not dataset_metadata_binding: if not dataset_metadata_binding:
dataset_metadata_binding = DatasetMetadataBinding( dataset_metadata_binding = DatasetMetadataBinding(
tenant_id=document.tenant_id, tenant_id=document.tenant_id,
@ -666,7 +675,7 @@ def upgrade_db():
click.echo(click.style("Starting database migration.", fg="green")) click.echo(click.style("Starting database migration.", fg="green"))
# run db migration # run db migration
import flask_migrate # type: ignore import flask_migrate
flask_migrate.upgrade() flask_migrate.upgrade()
@ -814,3 +823,334 @@ def clear_free_plan_tenant_expired_logs(days: int, batch: int, tenant_ids: list[
ClearFreePlanTenantExpiredLogs.process(days, batch, tenant_ids) ClearFreePlanTenantExpiredLogs.process(days, batch, tenant_ids)
click.echo(click.style("Clear free plan tenant expired logs completed.", fg="green")) 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": "text", "table": "accounts", "column": "avatar"},
{"type": "text", "table": "apps", "column": "icon"},
{"type": "text", "table": "sites", "column": "icon"},
{"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"))

6
api/configs/deploy/__init__.py
Unescape Escape View File

@ -17,6 +17,12 @@ class DeploymentConfig(BaseSettings):
default=False, default=False,
) )
# Request logging configuration
ENABLE_REQUEST_LOGGING: bool = Field(
description="Enable request and response body logging",
default=False,
)
EDITION: str = Field( EDITION: str = Field(
description="Deployment edition of the application (e.g., 'SELF_HOSTED', 'CLOUD')", description="Deployment edition of the application (e.g., 'SELF_HOSTED', 'CLOUD')",
default="SELF_HOSTED", default="SELF_HOSTED",

11
api/configs/feature/__init__.py
Unescape Escape View File

@ -74,7 +74,7 @@ class CodeExecutionSandboxConfig(BaseSettings):
CODE_EXECUTION_ENDPOINT: HttpUrl = Field( CODE_EXECUTION_ENDPOINT: HttpUrl = Field(
description="URL endpoint for the code execution service", description="URL endpoint for the code execution service",
default="http://sandbox:8194", default=HttpUrl("http://sandbox:8194"),
) )
CODE_EXECUTION_API_KEY: str = Field( CODE_EXECUTION_API_KEY: str = Field(
@ -145,7 +145,7 @@ class PluginConfig(BaseSettings):
PLUGIN_DAEMON_URL: HttpUrl = Field( PLUGIN_DAEMON_URL: HttpUrl = Field(
description="Plugin API URL", description="Plugin API URL",
default="http://localhost:5002", default=HttpUrl("http://localhost:5002"),
) )
PLUGIN_DAEMON_KEY: str = Field( PLUGIN_DAEMON_KEY: str = Field(
@ -188,7 +188,7 @@ class MarketplaceConfig(BaseSettings):
MARKETPLACE_API_URL: HttpUrl = Field( MARKETPLACE_API_URL: HttpUrl = Field(
description="Marketplace API URL", description="Marketplace API URL",
default="https://marketplace.dify.ai", default=HttpUrl("https://marketplace.dify.ai"),
) )
@ -398,6 +398,11 @@ class InnerAPIConfig(BaseSettings):
default=False, default=False,
) )
INNER_API_KEY: Optional[str] = Field(
description="API key for accessing the internal API",
default=None,
)
class LoggingConfig(BaseSettings): class LoggingConfig(BaseSettings):
""" """

46
api/configs/middleware/__init__.py
Unescape Escape View File

@ -1,8 +1,8 @@
import os import os
from typing import Any, Literal, Optional from typing import Any, Literal, Optional
from urllib.parse import quote_plus from urllib.parse import parse_qsl, quote_plus
from pydantic import Field, NonNegativeInt, PositiveFloat, PositiveInt, computed_field from pydantic import Field, NonNegativeFloat, NonNegativeInt, PositiveFloat, PositiveInt, computed_field
from pydantic_settings import BaseSettings from pydantic_settings import BaseSettings
from .cache.redis_config import RedisConfig from .cache.redis_config import RedisConfig
@ -39,6 +39,7 @@ from .vdb.tencent_vector_config import TencentVectorDBConfig
from .vdb.tidb_on_qdrant_config import TidbOnQdrantConfig from .vdb.tidb_on_qdrant_config import TidbOnQdrantConfig
from .vdb.tidb_vector_config import TiDBVectorConfig from .vdb.tidb_vector_config import TiDBVectorConfig
from .vdb.upstash_config import UpstashConfig from .vdb.upstash_config import UpstashConfig
from .vdb.vastbase_vector_config import VastbaseVectorConfig
from .vdb.vikingdb_config import VikingDBConfig from .vdb.vikingdb_config import VikingDBConfig
from .vdb.weaviate_config import WeaviateConfig from .vdb.weaviate_config import WeaviateConfig
@ -172,17 +173,31 @@ class DatabaseConfig(BaseSettings):
RETRIEVAL_SERVICE_EXECUTORS: NonNegativeInt = Field( RETRIEVAL_SERVICE_EXECUTORS: NonNegativeInt = Field(
description="Number of processes for the retrieval service, default to CPU cores.", description="Number of processes for the retrieval service, default to CPU cores.",
default=os.cpu_count(), default=os.cpu_count() or 1,
) )
@computed_field @computed_field # type: ignore[misc]
@property
def SQLALCHEMY_ENGINE_OPTIONS(self) -> dict[str, Any]: def SQLALCHEMY_ENGINE_OPTIONS(self) -> dict[str, Any]:
# Parse DB_EXTRAS for 'options'
db_extras_dict = dict(parse_qsl(self.DB_EXTRAS))
options = db_extras_dict.get("options", "")
# Always include timezone
timezone_opt = "-c timezone=UTC"
if options:
# Merge user options and timezone
merged_options = f"{options} {timezone_opt}"
else:
merged_options = timezone_opt
connect_args = {"options": merged_options}
return { return {
"pool_size": self.SQLALCHEMY_POOL_SIZE, "pool_size": self.SQLALCHEMY_POOL_SIZE,
"max_overflow": self.SQLALCHEMY_MAX_OVERFLOW, "max_overflow": self.SQLALCHEMY_MAX_OVERFLOW,
"pool_recycle": self.SQLALCHEMY_POOL_RECYCLE, "pool_recycle": self.SQLALCHEMY_POOL_RECYCLE,
"pool_pre_ping": self.SQLALCHEMY_POOL_PRE_PING, "pool_pre_ping": self.SQLALCHEMY_POOL_PRE_PING,
"connect_args": {"options": "-c timezone=UTC"}, "connect_args": connect_args,
} }
@ -241,6 +256,25 @@ class InternalTestConfig(BaseSettings):
) )
class DatasetQueueMonitorConfig(BaseSettings):
"""
Configuration settings for Dataset Queue Monitor
"""
QUEUE_MONITOR_THRESHOLD: Optional[NonNegativeInt] = Field(
description="Threshold for dataset queue monitor",
default=200,
)
QUEUE_MONITOR_ALERT_EMAILS: Optional[str] = Field(
description="Emails for dataset queue monitor alert, separated by commas",
default=None,
)
QUEUE_MONITOR_INTERVAL: Optional[NonNegativeFloat] = Field(
description="Interval for dataset queue monitor in minutes",
default=30,
)
class MiddlewareConfig( class MiddlewareConfig(
# place the configs in alphabet order # place the configs in alphabet order
CeleryConfig, CeleryConfig,
@ -270,6 +304,7 @@ class MiddlewareConfig(
OpenSearchConfig, OpenSearchConfig,
OracleConfig, OracleConfig,
PGVectorConfig, PGVectorConfig,
VastbaseVectorConfig,
PGVectoRSConfig, PGVectoRSConfig,
QdrantConfig, QdrantConfig,
RelytConfig, RelytConfig,
@ -287,5 +322,6 @@ class MiddlewareConfig(
BaiduVectorDBConfig, BaiduVectorDBConfig,
OpenGaussConfig, OpenGaussConfig,
TableStoreConfig, TableStoreConfig,
DatasetQueueMonitorConfig,
): ):
pass pass

10
api/configs/middleware/cache/redis_config.py vendored
Unescape Escape View File

@ -83,3 +83,13 @@ class RedisConfig(BaseSettings):
description="Password for Redis Clusters authentication (if required)", description="Password for Redis Clusters authentication (if required)",
default=None, default=None,
) )
REDIS_SERIALIZATION_PROTOCOL: int = Field(
description="Redis serialization protocol (RESP) version",
default=3,
)
REDIS_ENABLE_CLIENT_SIDE_CACHE: bool = Field(
description="Enable client side cache in redis",
default=False,
)

4
api/configs/middleware/storage/amazon_s3_storage_config.py
Unescape Escape View File

@ -1,4 +1,4 @@
from typing import Optional from typing import Literal, Optional
from pydantic import Field from pydantic import Field
from pydantic_settings import BaseSettings from pydantic_settings import BaseSettings
@ -34,7 +34,7 @@ class S3StorageConfig(BaseSettings):
default=None, default=None,
) )
S3_ADDRESS_STYLE: str = Field( S3_ADDRESS_STYLE: Literal["auto", "virtual", "path"] = Field(
description="S3 addressing style: 'auto', 'path', or 'virtual'", description="S3 addressing style: 'auto', 'path', or 'virtual'",
default="auto", default="auto",
) )

1
api/configs/middleware/vdb/lindorm_config.py
Unescape Escape View File

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

36
api/configs/middleware/vdb/opensearch_config.py
Unescape Escape View File

@ -1,4 +1,5 @@
from typing import Optional import enum
from typing import Literal, Optional
from pydantic import Field, PositiveInt from pydantic import Field, PositiveInt
from pydantic_settings import BaseSettings from pydantic_settings import BaseSettings
@ -9,6 +10,14 @@ class OpenSearchConfig(BaseSettings):
Configuration settings for OpenSearch 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( OPENSEARCH_HOST: Optional[str] = Field(
description="Hostname or IP address of the OpenSearch server (e.g., 'localhost' or 'opensearch.example.com')", description="Hostname or IP address of the OpenSearch server (e.g., 'localhost' or 'opensearch.example.com')",
default=None, default=None,
@ -19,6 +28,21 @@ class OpenSearchConfig(BaseSettings):
default=9200, 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_VERIFY_CERTS: bool = Field(
description="Whether to verify SSL certificates for HTTPS connections (recommended to set True in production)",
default=True,
)
OPENSEARCH_AUTH_METHOD: AuthMethod = Field(
description="Authentication method for OpenSearch connection (default is 'basic')",
default=AuthMethod.BASIC,
)
OPENSEARCH_USER: Optional[str] = Field( OPENSEARCH_USER: Optional[str] = Field(
description="Username for authenticating with OpenSearch", description="Username for authenticating with OpenSearch",
default=None, default=None,
@ -29,7 +53,11 @@ class OpenSearchConfig(BaseSettings):
default=None, default=None,
) )
OPENSEARCH_SECURE: bool = Field( OPENSEARCH_AWS_REGION: Optional[str] = Field(
description="Whether to use SSL/TLS encrypted connection for OpenSearch (True for HTTPS, False for HTTP)", description="AWS region for OpenSearch (e.g. 'us-west-2')",
default=False, default=None,
)
OPENSEARCH_AWS_SERVICE: Optional[Literal["es", "aoss"]] = Field(
description="AWS service for OpenSearch (e.g. 'aoss' for OpenSearch Serverless)", default=None
) )

5
api/configs/middleware/vdb/qdrant_config.py
Unescape Escape View File

@ -33,3 +33,8 @@ class QdrantConfig(BaseSettings):
description="Port number for gRPC connection to Qdrant server (default is 6334)", description="Port number for gRPC connection to Qdrant server (default is 6334)",
default=6334, default=6334,
) )
QDRANT_REPLICATION_FACTOR: PositiveInt = Field(
description="Replication factor for Qdrant collections (default is 1)",
default=1,
)

45
api/configs/middleware/vdb/vastbase_vector_config.py
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@ -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,
)

5
api/configs/observability/otel/otel_config.py
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@ -27,6 +27,11 @@ class OTelConfig(BaseSettings):
default="otlp", default="otlp",
) )
OTEL_EXPORTER_OTLP_PROTOCOL: str = Field(
description="OTLP exporter protocol ('grpc' or 'http')",
default="http",
)
OTEL_SAMPLING_RATE: float = Field(default=0.1, description="Sampling rate for traces (0.0 to 1.0)") 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( OTEL_BATCH_EXPORT_SCHEDULE_DELAY: int = Field(

2
api/configs/packaging/__init__.py
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@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
CURRENT_VERSION: str = Field( CURRENT_VERSION: str = Field(
description="Dify version", description="Dify version",
default="1.3.0", default="1.4.3",
) )
COMMIT_SHA: str = Field( COMMIT_SHA: str = Field(

3
api/configs/remote_settings_sources/nacos/http_request.py
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@ -60,8 +60,7 @@ class NacosHttpClient:
sign_str = tenant + "+" sign_str = tenant + "+"
if group: if group:
sign_str = sign_str + group + "+" sign_str = sign_str + group + "+"
if sign_str: sign_str += ts # Directly concatenate ts without conditional checks, because the nacos auth header forced it.
sign_str += ts
return sign_str return sign_str
def get_access_token(self, force_refresh=False): def get_access_token(self, force_refresh=False):

18
api/constants/__init__.py
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@ -16,11 +16,25 @@ AUDIO_EXTENSIONS.extend([ext.upper() for ext in AUDIO_EXTENSIONS])
if dify_config.ETL_TYPE == "Unstructured": 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")) DOCUMENT_EXTENSIONS.extend(("doc", "docx", "csv", "eml", "msg", "pptx", "xml", "epub"))
if dify_config.UNSTRUCTURED_API_URL: if dify_config.UNSTRUCTURED_API_URL:
DOCUMENT_EXTENSIONS.append("ppt") DOCUMENT_EXTENSIONS.append("ppt")
DOCUMENT_EXTENSIONS.extend([ext.upper() for ext in DOCUMENT_EXTENSIONS]) DOCUMENT_EXTENSIONS.extend([ext.upper() for ext in DOCUMENT_EXTENSIONS])
else: 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]) DOCUMENT_EXTENSIONS.extend([ext.upper() for ext in DOCUMENT_EXTENSIONS])

7
api/constants/mimetypes.py
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@ -0,0 +1,7 @@
# The two constants below should keep in sync.
# Default content type for files which have no explicit content type.
DEFAULT_MIME_TYPE = "application/octet-stream"
# Default file extension for files which have no explicit content type, should
# correspond to the `DEFAULT_MIME_TYPE` above.
DEFAULT_EXTENSION = ".bin"

4
api/contexts/__init__.py
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@ -11,10 +11,6 @@ if TYPE_CHECKING:
from core.workflow.entities.variable_pool import VariablePool from core.workflow.entities.variable_pool import VariablePool
tenant_id: ContextVar[str] = ContextVar("tenant_id")
workflow_variable_pool: ContextVar["VariablePool"] = ContextVar("workflow_variable_pool")
""" """
To avoid race-conditions caused by gunicorn thread recycling, using RecyclableContextVar to replace with To avoid race-conditions caused by gunicorn thread recycling, using RecyclableContextVar to replace with
""" """

21
api/controllers/common/fields.py
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@ -1,4 +1,6 @@
from flask_restful import fields # type: ignore from flask_restful import fields
from libs.helper import AppIconUrlField
parameters__system_parameters = { parameters__system_parameters = {
"image_file_size_limit": fields.Integer, "image_file_size_limit": fields.Integer,
@ -22,3 +24,20 @@ parameters_fields = {
"file_upload": fields.Raw, "file_upload": fields.Raw,
"system_parameters": fields.Nested(parameters__system_parameters), "system_parameters": fields.Nested(parameters__system_parameters),
} }
site_fields = {
"title": fields.String,
"chat_color_theme": fields.String,
"chat_color_theme_inverted": fields.Boolean,
"icon_type": fields.String,
"icon": fields.String,
"icon_background": fields.String,
"icon_url": AppIconUrlField,
"description": fields.String,
"copyright": fields.String,
"privacy_policy": fields.String,
"custom_disclaimer": fields.String,
"default_language": fields.String,
"show_workflow_steps": fields.Boolean,
"use_icon_as_answer_icon": fields.Boolean,
}

2
api/controllers/console/admin.py
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@ -1,7 +1,7 @@
from functools import wraps from functools import wraps
from flask import request from flask import request
from flask_restful import Resource, reqparse # type: ignore from flask_restful import Resource, reqparse
from sqlalchemy import select from sqlalchemy import select
from sqlalchemy.orm import Session from sqlalchemy.orm import Session
from werkzeug.exceptions import NotFound, Unauthorized from werkzeug.exceptions import NotFound, Unauthorized

4
api/controllers/console/apikey.py
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@ -1,7 +1,7 @@
from typing import Any from typing import Any
import flask_restful # type: ignore import flask_restful
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, fields, marshal_with from flask_restful import Resource, fields, marshal_with
from sqlalchemy import select from sqlalchemy import select
from sqlalchemy.orm import Session from sqlalchemy.orm import Session

2
api/controllers/console/app/advanced_prompt_template.py
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@ -1,4 +1,4 @@
from flask_restful import Resource, reqparse # type: ignore from flask_restful import Resource, reqparse
from controllers.console import api from controllers.console import api
from controllers.console.wraps import account_initialization_required, setup_required from controllers.console.wraps import account_initialization_required, setup_required

2
api/controllers/console/app/agent.py
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@ -1,4 +1,4 @@
from flask_restful import Resource, reqparse # type: ignore from flask_restful import Resource, reqparse
from controllers.console import api from controllers.console import api
from controllers.console.app.wraps import get_app_model from controllers.console.app.wraps import get_app_model

8
api/controllers/console/app/annotation.py
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@ -1,6 +1,6 @@
from flask import request from flask import request
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, marshal, marshal_with, reqparse # type: ignore from flask_restful import Resource, marshal, marshal_with, reqparse
from werkzeug.exceptions import Forbidden from werkzeug.exceptions import Forbidden
from controllers.console import api from controllers.console import api
@ -186,7 +186,7 @@ class AnnotationUpdateDeleteApi(Resource):
app_id = str(app_id) app_id = str(app_id)
annotation_id = str(annotation_id) annotation_id = str(annotation_id)
AppAnnotationService.delete_app_annotation(app_id, annotation_id) AppAnnotationService.delete_app_annotation(app_id, annotation_id)
return {"result": "success"}, 200 return {"result": "success"}, 204
class AnnotationBatchImportApi(Resource): class AnnotationBatchImportApi(Resource):
@ -208,7 +208,7 @@ class AnnotationBatchImportApi(Resource):
if len(request.files) > 1: if len(request.files) > 1:
raise TooManyFilesError() raise TooManyFilesError()
# check file type # check file type
if not file.filename.endswith(".csv"): if not file.filename or not file.filename.endswith(".csv"):
raise ValueError("Invalid file type. Only CSV files are allowed") raise ValueError("Invalid file type. Only CSV files are allowed")
return AppAnnotationService.batch_import_app_annotations(app_id, file) return AppAnnotationService.batch_import_app_annotations(app_id, file)

28
api/controllers/console/app/app.py
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@ -1,8 +1,8 @@
import uuid import uuid
from typing import cast from typing import cast
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, inputs, marshal, marshal_with, reqparse # type: ignore from flask_restful import Resource, inputs, marshal, marshal_with, reqparse
from sqlalchemy import select from sqlalchemy import select
from sqlalchemy.orm import Session from sqlalchemy.orm import Session
from werkzeug.exceptions import BadRequest, Forbidden, abort from werkzeug.exceptions import BadRequest, Forbidden, abort
@ -17,15 +17,13 @@ from controllers.console.wraps import (
) )
from core.ops.ops_trace_manager import OpsTraceManager from core.ops.ops_trace_manager import OpsTraceManager
from extensions.ext_database import db from extensions.ext_database import db
from fields.app_fields import ( from fields.app_fields import app_detail_fields, app_detail_fields_with_site, app_pagination_fields
app_detail_fields,
app_detail_fields_with_site,
app_pagination_fields,
)
from libs.login import login_required from libs.login import login_required
from models import Account, App from models import Account, App
from services.app_dsl_service import AppDslService, ImportMode from services.app_dsl_service import AppDslService, ImportMode
from services.app_service import AppService from services.app_service import AppService
from services.enterprise.enterprise_service import EnterpriseService
from services.feature_service import FeatureService
ALLOW_CREATE_APP_MODES = ["chat", "agent-chat", "advanced-chat", "workflow", "completion"] ALLOW_CREATE_APP_MODES = ["chat", "agent-chat", "advanced-chat", "workflow", "completion"]
@ -75,7 +73,17 @@ class AppListApi(Resource):
if not app_pagination: if not app_pagination:
return {"data": [], "total": 0, "page": 1, "limit": 20, "has_more": False} return {"data": [], "total": 0, "page": 1, "limit": 20, "has_more": False}
return marshal(app_pagination, app_pagination_fields) if FeatureService.get_system_features().webapp_auth.enabled:
app_ids = [str(app.id) for app in app_pagination.items]
res = EnterpriseService.WebAppAuth.batch_get_app_access_mode_by_id(app_ids=app_ids)
if len(res) != len(app_ids):
raise BadRequest("Invalid app id in webapp auth")
for app in app_pagination.items:
if str(app.id) in res:
app.access_mode = res[str(app.id)].access_mode
return marshal(app_pagination, app_pagination_fields), 200
@setup_required @setup_required
@login_required @login_required
@ -119,6 +127,10 @@ class AppApi(Resource):
app_model = app_service.get_app(app_model) app_model = app_service.get_app(app_model)
if FeatureService.get_system_features().webapp_auth.enabled:
app_setting = EnterpriseService.WebAppAuth.get_app_access_mode_by_id(app_id=str(app_model.id))
app_model.access_mode = app_setting.access_mode
return app_model return app_model
@setup_required @setup_required

4
api/controllers/console/app/app_import.py
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@ -1,7 +1,7 @@
from typing import cast from typing import cast
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, marshal_with, reqparse # type: ignore from flask_restful import Resource, marshal_with, reqparse
from sqlalchemy.orm import Session from sqlalchemy.orm import Session
from werkzeug.exceptions import Forbidden from werkzeug.exceptions import Forbidden

2
api/controllers/console/app/audio.py
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@ -1,7 +1,7 @@
import logging import logging
from flask import request from flask import request
from flask_restful import Resource, reqparse # type: ignore from flask_restful import Resource, reqparse
from werkzeug.exceptions import InternalServerError from werkzeug.exceptions import InternalServerError
import services import services

4
api/controllers/console/app/completion.py
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@ -1,7 +1,7 @@
import logging import logging
import flask_login # type: ignore import flask_login
from flask_restful import Resource, reqparse # type: ignore from flask_restful import Resource, reqparse
from werkzeug.exceptions import InternalServerError, NotFound from werkzeug.exceptions import InternalServerError, NotFound
import services import services

6
api/controllers/console/app/conversation.py
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@ -1,9 +1,9 @@
from datetime import UTC, datetime from datetime import UTC, datetime
import pytz # pip install pytz import pytz # pip install pytz
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, marshal_with, reqparse # type: ignore from flask_restful import Resource, marshal_with, reqparse
from flask_restful.inputs import int_range # type: ignore from flask_restful.inputs import int_range
from sqlalchemy import func, or_ from sqlalchemy import func, or_
from sqlalchemy.orm import joinedload from sqlalchemy.orm import joinedload
from werkzeug.exceptions import Forbidden, NotFound from werkzeug.exceptions import Forbidden, NotFound

2
api/controllers/console/app/conversation_variables.py
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@ -1,4 +1,4 @@
from flask_restful import Resource, marshal_with, reqparse # type: ignore from flask_restful import Resource, marshal_with, reqparse
from sqlalchemy import select from sqlalchemy import select
from sqlalchemy.orm import Session from sqlalchemy.orm import Session

4
api/controllers/console/app/generator.py
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@ -1,7 +1,7 @@
import os import os
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, reqparse # type: ignore from flask_restful import Resource, reqparse
from controllers.console import api from controllers.console import api
from controllers.console.app.error import ( from controllers.console.app.error import (

6
api/controllers/console/app/message.py
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@ -1,8 +1,8 @@
import logging import logging
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, fields, marshal_with, reqparse # type: ignore from flask_restful import Resource, fields, marshal_with, reqparse
from flask_restful.inputs import int_range # type: ignore from flask_restful.inputs import int_range
from werkzeug.exceptions import Forbidden, InternalServerError, NotFound from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
from controllers.console import api from controllers.console import api

4
api/controllers/console/app/model_config.py
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@ -2,8 +2,8 @@ import json
from typing import cast from typing import cast
from flask import request from flask import request
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource # type: ignore from flask_restful import Resource
from controllers.console import api from controllers.console import api
from controllers.console.app.wraps import get_app_model from controllers.console.app.wraps import get_app_model

4
api/controllers/console/app/ops_trace.py
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@ -1,4 +1,4 @@
from flask_restful import Resource, reqparse # type: ignore from flask_restful import Resource, reqparse
from werkzeug.exceptions import BadRequest from werkzeug.exceptions import BadRequest
from controllers.console import api from controllers.console import api
@ -84,7 +84,7 @@ class TraceAppConfigApi(Resource):
result = OpsService.delete_tracing_app_config(app_id=app_id, tracing_provider=args["tracing_provider"]) result = OpsService.delete_tracing_app_config(app_id=app_id, tracing_provider=args["tracing_provider"])
if not result: if not result:
raise TracingConfigNotExist() raise TracingConfigNotExist()
return {"result": "success"} return {"result": "success"}, 204
except Exception as e: except Exception as e:
raise BadRequest(str(e)) raise BadRequest(str(e))

4
api/controllers/console/app/site.py
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@ -1,7 +1,7 @@
from datetime import UTC, datetime from datetime import UTC, datetime
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, marshal_with, reqparse # type: ignore from flask_restful import Resource, marshal_with, reqparse
from werkzeug.exceptions import Forbidden, NotFound from werkzeug.exceptions import Forbidden, NotFound
from constants.languages import supported_language from constants.languages import supported_language

4
api/controllers/console/app/statistic.py
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@ -3,8 +3,8 @@ from decimal import Decimal
import pytz import pytz
from flask import jsonify from flask import jsonify
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, reqparse # type: ignore from flask_restful import Resource, reqparse
from controllers.console import api from controllers.console import api
from controllers.console.app.wraps import get_app_model from controllers.console.app.wraps import get_app_model

5
api/controllers/console/app/workflow.py
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@ -3,7 +3,7 @@ import logging
from typing import cast from typing import cast
from flask import abort, request from flask import abort, request
from flask_restful import Resource, inputs, marshal_with, reqparse # type: ignore from flask_restful import Resource, inputs, marshal_with, reqparse
from sqlalchemy.orm import Session from sqlalchemy.orm import Session
from werkzeug.exceptions import Forbidden, InternalServerError, NotFound from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
@ -81,8 +81,7 @@ class DraftWorkflowApi(Resource):
parser.add_argument("graph", type=dict, required=True, nullable=False, location="json") parser.add_argument("graph", type=dict, required=True, nullable=False, location="json")
parser.add_argument("features", type=dict, required=True, nullable=False, location="json") parser.add_argument("features", type=dict, required=True, nullable=False, location="json")
parser.add_argument("hash", type=str, required=False, location="json") parser.add_argument("hash", type=str, required=False, location="json")
# TODO: set this to required=True after frontend is updated parser.add_argument("environment_variables", type=list, required=True, location="json")
parser.add_argument("environment_variables", type=list, required=False, location="json")
parser.add_argument("conversation_variables", type=list, required=False, location="json") parser.add_argument("conversation_variables", type=list, required=False, location="json")
args = parser.parse_args() args = parser.parse_args()
elif "text/plain" in content_type: elif "text/plain" in content_type:

8
api/controllers/console/app/workflow_app_log.py
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@ -1,17 +1,17 @@
from dateutil.parser import isoparse from dateutil.parser import isoparse
from flask_restful import Resource, marshal_with, reqparse # type: ignore from flask_restful import Resource, marshal_with, reqparse
from flask_restful.inputs import int_range # type: ignore from flask_restful.inputs import int_range
from sqlalchemy.orm import Session from sqlalchemy.orm import Session
from controllers.console import api from controllers.console import api
from controllers.console.app.wraps import get_app_model from controllers.console.app.wraps import get_app_model
from controllers.console.wraps import account_initialization_required, setup_required from controllers.console.wraps import account_initialization_required, setup_required
from core.workflow.entities.workflow_execution import WorkflowExecutionStatus
from extensions.ext_database import db from extensions.ext_database import db
from fields.workflow_app_log_fields import workflow_app_log_pagination_fields from fields.workflow_app_log_fields import workflow_app_log_pagination_fields
from libs.login import login_required from libs.login import login_required
from models import App from models import App
from models.model import AppMode from models.model import AppMode
from models.workflow import WorkflowRunStatus
from services.workflow_app_service import WorkflowAppService from services.workflow_app_service import WorkflowAppService
@ -38,7 +38,7 @@ class WorkflowAppLogApi(Resource):
parser.add_argument("limit", type=int_range(1, 100), default=20, location="args") parser.add_argument("limit", type=int_range(1, 100), default=20, location="args")
args = parser.parse_args() args = parser.parse_args()
args.status = WorkflowRunStatus(args.status) if args.status else None args.status = WorkflowExecutionStatus(args.status) if args.status else None
if args.created_at__before: if args.created_at__before:
args.created_at__before = isoparse(args.created_at__before) args.created_at__before = isoparse(args.created_at__before)

17
api/controllers/console/app/workflow_run.py
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@ -1,5 +1,8 @@
from flask_restful import Resource, marshal_with, reqparse # type: ignore from typing import cast
from flask_restful.inputs import int_range # type: ignore
from flask_login import current_user
from flask_restful import Resource, marshal_with, reqparse
from flask_restful.inputs import int_range
from controllers.console import api from controllers.console import api
from controllers.console.app.wraps import get_app_model from controllers.console.app.wraps import get_app_model
@ -12,8 +15,7 @@ from fields.workflow_run_fields import (
) )
from libs.helper import uuid_value from libs.helper import uuid_value
from libs.login import login_required from libs.login import login_required
from models import App from models import Account, App, AppMode, EndUser
from models.model import AppMode
from services.workflow_run_service import WorkflowRunService from services.workflow_run_service import WorkflowRunService
@ -90,7 +92,12 @@ class WorkflowRunNodeExecutionListApi(Resource):
run_id = str(run_id) run_id = str(run_id)
workflow_run_service = WorkflowRunService() workflow_run_service = WorkflowRunService()
node_executions = workflow_run_service.get_workflow_run_node_executions(app_model=app_model, run_id=run_id) user = cast("Account | EndUser", current_user)
node_executions = workflow_run_service.get_workflow_run_node_executions(
app_model=app_model,
run_id=run_id,
user=user,
)
return {"data": node_executions} return {"data": node_executions}

4
api/controllers/console/app/workflow_statistic.py
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@ -3,8 +3,8 @@ from decimal import Decimal
import pytz import pytz
from flask import jsonify from flask import jsonify
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, reqparse # type: ignore from flask_restful import Resource, reqparse
from controllers.console import api from controllers.console import api
from controllers.console.app.wraps import get_app_model from controllers.console.app.wraps import get_app_model

2
api/controllers/console/auth/activate.py
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@ -1,7 +1,7 @@
import datetime import datetime
from flask import request from flask import request
from flask_restful import Resource, reqparse # type: ignore from flask_restful import Resource, reqparse
from constants.languages import supported_language from constants.languages import supported_language
from controllers.console import api from controllers.console import api

6
api/controllers/console/auth/data_source_bearer_auth.py
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@ -1,5 +1,5 @@
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, reqparse # type: ignore from flask_restful import Resource, reqparse
from werkzeug.exceptions import Forbidden from werkzeug.exceptions import Forbidden
from controllers.console import api from controllers.console import api
@ -65,7 +65,7 @@ class ApiKeyAuthDataSourceBindingDelete(Resource):
ApiKeyAuthService.delete_provider_auth(current_user.current_tenant_id, binding_id) 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") api.add_resource(ApiKeyAuthDataSource, "/api-key-auth/data-source")

4
api/controllers/console/auth/data_source_oauth.py
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@ -2,8 +2,8 @@ import logging
import requests import requests
from flask import current_app, redirect, request from flask import current_app, redirect, request
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource # type: ignore from flask_restful import Resource
from werkzeug.exceptions import Forbidden from werkzeug.exceptions import Forbidden
from configs import dify_config from configs import dify_config

6
api/controllers/console/auth/forgot_password.py
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@ -2,7 +2,7 @@ import base64
import secrets import secrets
from flask import request from flask import request
from flask_restful import Resource, reqparse # type: ignore from flask_restful import Resource, reqparse
from sqlalchemy import select from sqlalchemy import select
from sqlalchemy.orm import Session from sqlalchemy.orm import Session
@ -24,7 +24,7 @@ from libs.password import hash_password, valid_password
from models.account import Account from models.account import Account
from services.account_service import AccountService, TenantService from services.account_service import AccountService, TenantService
from services.errors.account import AccountRegisterError from services.errors.account import AccountRegisterError
from services.errors.workspace import WorkSpaceNotAllowedCreateError from services.errors.workspace import WorkSpaceNotAllowedCreateError, WorkspacesLimitExceededError
from services.feature_service import FeatureService from services.feature_service import FeatureService
@ -168,6 +168,8 @@ class ForgotPasswordResetApi(Resource):
) )
except WorkSpaceNotAllowedCreateError: except WorkSpaceNotAllowedCreateError:
pass pass
except WorkspacesLimitExceededError:
pass
except AccountRegisterError: except AccountRegisterError:
raise AccountInFreezeError() raise AccountInFreezeError()

37
api/controllers/console/auth/login.py
Unescape Escape View File

@ -1,8 +1,8 @@
from typing import cast from typing import cast
import flask_login # type: ignore import flask_login
from flask import request from flask import request
from flask_restful import Resource, reqparse # type: ignore from flask_restful import Resource, reqparse
import services import services
from configs import dify_config from configs import dify_config
@ -21,6 +21,7 @@ from controllers.console.error import (
AccountNotFound, AccountNotFound,
EmailSendIpLimitError, EmailSendIpLimitError,
NotAllowedCreateWorkspace, NotAllowedCreateWorkspace,
WorkspacesLimitExceeded,
) )
from controllers.console.wraps import email_password_login_enabled, setup_required from controllers.console.wraps import email_password_login_enabled, setup_required
from events.tenant_event import tenant_was_created from events.tenant_event import tenant_was_created
@ -30,7 +31,7 @@ from models.account import Account
from services.account_service import AccountService, RegisterService, TenantService from services.account_service import AccountService, RegisterService, TenantService
from services.billing_service import BillingService from services.billing_service import BillingService
from services.errors.account import AccountRegisterError from services.errors.account import AccountRegisterError
from services.errors.workspace import WorkSpaceNotAllowedCreateError from services.errors.workspace import WorkSpaceNotAllowedCreateError, WorkspacesLimitExceededError
from services.feature_service import FeatureService from services.feature_service import FeatureService
@ -88,10 +89,15 @@ class LoginApi(Resource):
# SELF_HOSTED only have one workspace # SELF_HOSTED only have one workspace
tenants = TenantService.get_join_tenants(account) tenants = TenantService.get_join_tenants(account)
if len(tenants) == 0: if len(tenants) == 0:
return { system_features = FeatureService.get_system_features()
"result": "fail",
"data": "workspace not found, please contact system admin to invite you to join in a workspace", if system_features.is_allow_create_workspace and not system_features.license.workspaces.is_available():
} raise WorkspacesLimitExceeded()
else:
return {
"result": "fail",
"data": "workspace not found, please contact system admin to invite you to join in a workspace",
}
token_pair = AccountService.login(account=account, ip_address=extract_remote_ip(request)) token_pair = AccountService.login(account=account, ip_address=extract_remote_ip(request))
AccountService.reset_login_error_rate_limit(args["email"]) AccountService.reset_login_error_rate_limit(args["email"])
@ -196,15 +202,18 @@ class EmailCodeLoginApi(Resource):
except AccountRegisterError as are: except AccountRegisterError as are:
raise AccountInFreezeError() raise AccountInFreezeError()
if account: if account:
tenant = TenantService.get_join_tenants(account) tenants = TenantService.get_join_tenants(account)
if not tenant: if not tenants:
workspaces = FeatureService.get_system_features().license.workspaces
if not workspaces.is_available():
raise WorkspacesLimitExceeded()
if not FeatureService.get_system_features().is_allow_create_workspace: if not FeatureService.get_system_features().is_allow_create_workspace:
raise NotAllowedCreateWorkspace() raise NotAllowedCreateWorkspace()
else: else:
tenant = TenantService.create_tenant(f"{account.name}'s Workspace") new_tenant = TenantService.create_tenant(f"{account.name}'s Workspace")
TenantService.create_tenant_member(tenant, account, role="owner") TenantService.create_tenant_member(new_tenant, account, role="owner")
account.current_tenant = tenant account.current_tenant = new_tenant
tenant_was_created.send(tenant) tenant_was_created.send(new_tenant)
if account is None: if account is None:
try: try:
@ -215,6 +224,8 @@ class EmailCodeLoginApi(Resource):
return NotAllowedCreateWorkspace() return NotAllowedCreateWorkspace()
except AccountRegisterError as are: except AccountRegisterError as are:
raise AccountInFreezeError() raise AccountInFreezeError()
except WorkspacesLimitExceededError:
raise WorkspacesLimitExceeded()
token_pair = AccountService.login(account, ip_address=extract_remote_ip(request)) token_pair = AccountService.login(account, ip_address=extract_remote_ip(request))
AccountService.reset_login_error_rate_limit(args["email"]) AccountService.reset_login_error_rate_limit(args["email"])
return {"result": "success", "data": token_pair.model_dump()} return {"result": "success", "data": token_pair.model_dump()}

14
api/controllers/console/auth/oauth.py
Unescape Escape View File

@ -4,7 +4,7 @@ from typing import Optional
import requests import requests
from flask import current_app, redirect, request from flask import current_app, redirect, request
from flask_restful import Resource # type: ignore from flask_restful import Resource
from sqlalchemy import select from sqlalchemy import select
from sqlalchemy.orm import Session from sqlalchemy.orm import Session
from werkzeug.exceptions import Unauthorized from werkzeug.exceptions import Unauthorized
@ -148,15 +148,15 @@ def _generate_account(provider: str, user_info: OAuthUserInfo):
account = _get_account_by_openid_or_email(provider, user_info) account = _get_account_by_openid_or_email(provider, user_info)
if account: if account:
tenant = TenantService.get_join_tenants(account) tenants = TenantService.get_join_tenants(account)
if not tenant: if not tenants:
if not FeatureService.get_system_features().is_allow_create_workspace: if not FeatureService.get_system_features().is_allow_create_workspace:
raise WorkSpaceNotAllowedCreateError() raise WorkSpaceNotAllowedCreateError()
else: else:
tenant = TenantService.create_tenant(f"{account.name}'s Workspace") new_tenant = TenantService.create_tenant(f"{account.name}'s Workspace")
TenantService.create_tenant_member(tenant, account, role="owner") TenantService.create_tenant_member(new_tenant, account, role="owner")
account.current_tenant = tenant account.current_tenant = new_tenant
tenant_was_created.send(tenant) tenant_was_created.send(new_tenant)
if not account: if not account:
if not FeatureService.get_system_features().is_allow_register: if not FeatureService.get_system_features().is_allow_register:

4
api/controllers/console/billing/billing.py
Unescape Escape View File

@ -1,5 +1,5 @@
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, reqparse # type: ignore from flask_restful import Resource, reqparse
from controllers.console import api from controllers.console import api
from controllers.console.wraps import account_initialization_required, only_edition_cloud, setup_required from controllers.console.wraps import account_initialization_required, only_edition_cloud, setup_required

4
api/controllers/console/billing/compliance.py
Unescape Escape View File

@ -1,6 +1,6 @@
from flask import request from flask import request
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, reqparse # type: ignore from flask_restful import Resource, reqparse
from libs.helper import extract_remote_ip from libs.helper import extract_remote_ip
from libs.login import login_required from libs.login import login_required

4
api/controllers/console/datasets/data_source.py
Unescape Escape View File

@ -2,8 +2,8 @@ import datetime
import json import json
from flask import request from flask import request
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, marshal_with, reqparse # type: ignore from flask_restful import Resource, marshal_with, reqparse
from sqlalchemy import select from sqlalchemy import select
from sqlalchemy.orm import Session from sqlalchemy.orm import Session
from werkzeug.exceptions import NotFound from werkzeug.exceptions import NotFound

49
api/controllers/console/datasets/datasets.py
Unescape Escape View File

@ -1,7 +1,7 @@
import flask_restful # type: ignore import flask_restful
from flask import request from flask import request
from flask_login import current_user # type: ignore # type: ignore from flask_login import current_user
from flask_restful import Resource, marshal, marshal_with, reqparse # type: ignore from flask_restful import Resource, marshal, marshal_with, reqparse
from werkzeug.exceptions import Forbidden, NotFound from werkzeug.exceptions import Forbidden, NotFound
import services import services
@ -526,17 +526,36 @@ class DatasetIndexingStatusApi(Resource):
) )
documents_status = [] documents_status = []
for document in documents: for document in documents:
completed_segments = DocumentSegment.query.filter( completed_segments = (
DocumentSegment.completed_at.isnot(None), db.session.query(DocumentSegment)
DocumentSegment.document_id == str(document.id), .filter(
DocumentSegment.status != "re_segment", DocumentSegment.completed_at.isnot(None),
).count() DocumentSegment.document_id == str(document.id),
total_segments = DocumentSegment.query.filter( DocumentSegment.status != "re_segment",
DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment" )
).count() .count()
document.completed_segments = completed_segments )
document.total_segments = total_segments total_segments = (
documents_status.append(marshal(document, document_status_fields)) db.session.query(DocumentSegment)
.filter(DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment")
.count()
)
# Create a dictionary with document attributes and additional fields
document_dict = {
"id": document.id,
"indexing_status": document.indexing_status,
"processing_started_at": document.processing_started_at,
"parsing_completed_at": document.parsing_completed_at,
"cleaning_completed_at": document.cleaning_completed_at,
"splitting_completed_at": document.splitting_completed_at,
"completed_at": document.completed_at,
"paused_at": document.paused_at,
"error": document.error,
"stopped_at": document.stopped_at,
"completed_segments": completed_segments,
"total_segments": total_segments,
}
documents_status.append(marshal(document_dict, document_status_fields))
data = {"data": documents_status} data = {"data": documents_status}
return data return data
@ -657,6 +676,7 @@ class DatasetRetrievalSettingApi(Resource):
| VectorType.ELASTICSEARCH | VectorType.ELASTICSEARCH
| VectorType.ELASTICSEARCH_JA | VectorType.ELASTICSEARCH_JA
| VectorType.PGVECTOR | VectorType.PGVECTOR
| VectorType.VASTBASE
| VectorType.TIDB_ON_QDRANT | VectorType.TIDB_ON_QDRANT
| VectorType.LINDORM | VectorType.LINDORM
| VectorType.COUCHBASE | VectorType.COUCHBASE
@ -706,6 +726,7 @@ class DatasetRetrievalSettingMockApi(Resource):
| VectorType.ELASTICSEARCH_JA | VectorType.ELASTICSEARCH_JA
| VectorType.COUCHBASE | VectorType.COUCHBASE
| VectorType.PGVECTOR | VectorType.PGVECTOR
| VectorType.VASTBASE
| VectorType.LINDORM | VectorType.LINDORM
| VectorType.OPENGAUSS | VectorType.OPENGAUSS
| VectorType.OCEANBASE | VectorType.OCEANBASE

124
api/controllers/console/datasets/datasets_document.py
Unescape Escape View File

@ -4,9 +4,9 @@ from datetime import UTC, datetime
from typing import cast from typing import cast
from flask import request from flask import request
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, fields, marshal, marshal_with, reqparse # type: ignore from flask_restful import Resource, fields, marshal, marshal_with, reqparse
from sqlalchemy import asc, desc from sqlalchemy import asc, desc, select
from werkzeug.exceptions import Forbidden, NotFound from werkzeug.exceptions import Forbidden, NotFound
import services import services
@ -40,7 +40,7 @@ from core.indexing_runner import IndexingRunner
from core.model_manager import ModelManager from core.model_manager import ModelManager
from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.entities.model_entities import ModelType
from core.model_runtime.errors.invoke import InvokeAuthorizationError 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 core.rag.extractor.entity.extract_setting import ExtractSetting
from extensions.ext_database import db from extensions.ext_database import db
from extensions.ext_redis import redis_client from extensions.ext_redis import redis_client
@ -112,7 +112,7 @@ class GetProcessRuleApi(Resource):
limits = DocumentService.DEFAULT_RULES["limits"] limits = DocumentService.DEFAULT_RULES["limits"]
if document_id: if document_id:
# get the latest process rule # get the latest process rule
document = Document.query.get_or_404(document_id) document = db.get_or_404(Document, document_id)
dataset = DatasetService.get_dataset(document.dataset_id) dataset = DatasetService.get_dataset(document.dataset_id)
@ -175,7 +175,7 @@ class DatasetDocumentListApi(Resource):
except services.errors.account.NoPermissionError as e: except services.errors.account.NoPermissionError as e:
raise Forbidden(str(e)) raise Forbidden(str(e))
query = Document.query.filter_by(dataset_id=str(dataset_id), tenant_id=current_user.current_tenant_id) query = select(Document).filter_by(dataset_id=str(dataset_id), tenant_id=current_user.current_tenant_id)
if search: if search:
search = f"%{search}%" search = f"%{search}%"
@ -209,18 +209,24 @@ class DatasetDocumentListApi(Resource):
desc(Document.position), desc(Document.position),
) )
paginated_documents = query.paginate(page=page, per_page=limit, max_per_page=100, error_out=False) paginated_documents = db.paginate(select=query, page=page, per_page=limit, max_per_page=100, error_out=False)
documents = paginated_documents.items documents = paginated_documents.items
if fetch: if fetch:
for document in documents: for document in documents:
completed_segments = DocumentSegment.query.filter( completed_segments = (
DocumentSegment.completed_at.isnot(None), db.session.query(DocumentSegment)
DocumentSegment.document_id == str(document.id), .filter(
DocumentSegment.status != "re_segment", DocumentSegment.completed_at.isnot(None),
).count() DocumentSegment.document_id == str(document.id),
total_segments = DocumentSegment.query.filter( DocumentSegment.status != "re_segment",
DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment" )
).count() .count()
)
total_segments = (
db.session.query(DocumentSegment)
.filter(DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment")
.count()
)
document.completed_segments = completed_segments document.completed_segments = completed_segments
document.total_segments = total_segments document.total_segments = total_segments
data = marshal(documents, document_with_segments_fields) data = marshal(documents, document_with_segments_fields)
@ -563,19 +569,36 @@ class DocumentBatchIndexingStatusApi(DocumentResource):
documents = self.get_batch_documents(dataset_id, batch) documents = self.get_batch_documents(dataset_id, batch)
documents_status = [] documents_status = []
for document in documents: for document in documents:
completed_segments = DocumentSegment.query.filter( completed_segments = (
DocumentSegment.completed_at.isnot(None), db.session.query(DocumentSegment)
DocumentSegment.document_id == str(document.id), .filter(
DocumentSegment.status != "re_segment", DocumentSegment.completed_at.isnot(None),
).count() DocumentSegment.document_id == str(document.id),
total_segments = DocumentSegment.query.filter( DocumentSegment.status != "re_segment",
DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment" )
).count() .count()
document.completed_segments = completed_segments )
document.total_segments = total_segments total_segments = (
if document.is_paused: db.session.query(DocumentSegment)
document.indexing_status = "paused" .filter(DocumentSegment.document_id == str(document.id), DocumentSegment.status != "re_segment")
documents_status.append(marshal(document, document_status_fields)) .count()
)
# Create a dictionary with document attributes and additional fields
document_dict = {
"id": document.id,
"indexing_status": "paused" if document.is_paused else document.indexing_status,
"processing_started_at": document.processing_started_at,
"parsing_completed_at": document.parsing_completed_at,
"cleaning_completed_at": document.cleaning_completed_at,
"splitting_completed_at": document.splitting_completed_at,
"completed_at": document.completed_at,
"paused_at": document.paused_at,
"error": document.error,
"stopped_at": document.stopped_at,
"completed_segments": completed_segments,
"total_segments": total_segments,
}
documents_status.append(marshal(document_dict, document_status_fields))
data = {"data": documents_status} data = {"data": documents_status}
return data return data
@ -589,20 +612,37 @@ class DocumentIndexingStatusApi(DocumentResource):
document_id = str(document_id) document_id = str(document_id)
document = self.get_document(dataset_id, document_id) document = self.get_document(dataset_id, document_id)
completed_segments = DocumentSegment.query.filter( completed_segments = (
DocumentSegment.completed_at.isnot(None), db.session.query(DocumentSegment)
DocumentSegment.document_id == str(document_id), .filter(
DocumentSegment.status != "re_segment", DocumentSegment.completed_at.isnot(None),
).count() DocumentSegment.document_id == str(document_id),
total_segments = DocumentSegment.query.filter( DocumentSegment.status != "re_segment",
DocumentSegment.document_id == str(document_id), DocumentSegment.status != "re_segment" )
).count() .count()
)
document.completed_segments = completed_segments total_segments = (
document.total_segments = total_segments db.session.query(DocumentSegment)
if document.is_paused: .filter(DocumentSegment.document_id == str(document_id), DocumentSegment.status != "re_segment")
document.indexing_status = "paused" .count()
return marshal(document, document_status_fields) )
# Create a dictionary with document attributes and additional fields
document_dict = {
"id": document.id,
"indexing_status": "paused" if document.is_paused else document.indexing_status,
"processing_started_at": document.processing_started_at,
"parsing_completed_at": document.parsing_completed_at,
"cleaning_completed_at": document.cleaning_completed_at,
"splitting_completed_at": document.splitting_completed_at,
"completed_at": document.completed_at,
"paused_at": document.paused_at,
"error": document.error,
"stopped_at": document.stopped_at,
"completed_segments": completed_segments,
"total_segments": total_segments,
}
return marshal(document_dict, document_status_fields)
class DocumentDetailApi(DocumentResource): class DocumentDetailApi(DocumentResource):

99
api/controllers/console/datasets/datasets_segments.py
Unescape Escape View File

@ -2,8 +2,9 @@ import uuid
import pandas as pd import pandas as pd
from flask import request from flask import request
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, marshal, reqparse # type: ignore from flask_restful import Resource, marshal, reqparse
from sqlalchemy import select
from werkzeug.exceptions import Forbidden, NotFound from werkzeug.exceptions import Forbidden, NotFound
import services import services
@ -26,6 +27,7 @@ from controllers.console.wraps import (
from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
from core.model_manager import ModelManager from core.model_manager import ModelManager
from core.model_runtime.entities.model_entities import ModelType from core.model_runtime.entities.model_entities import ModelType
from extensions.ext_database import db
from extensions.ext_redis import redis_client from extensions.ext_redis import redis_client
from fields.segment_fields import child_chunk_fields, segment_fields from fields.segment_fields import child_chunk_fields, segment_fields
from libs.login import login_required from libs.login import login_required
@ -74,9 +76,14 @@ class DatasetDocumentSegmentListApi(Resource):
hit_count_gte = args["hit_count_gte"] hit_count_gte = args["hit_count_gte"]
keyword = args["keyword"] keyword = args["keyword"]
query = DocumentSegment.query.filter( query = (
DocumentSegment.document_id == str(document_id), DocumentSegment.tenant_id == current_user.current_tenant_id select(DocumentSegment)
).order_by(DocumentSegment.position.asc()) .filter(
DocumentSegment.document_id == str(document_id),
DocumentSegment.tenant_id == current_user.current_tenant_id,
)
.order_by(DocumentSegment.position.asc())
)
if status_list: if status_list:
query = query.filter(DocumentSegment.status.in_(status_list)) query = query.filter(DocumentSegment.status.in_(status_list))
@ -93,7 +100,7 @@ class DatasetDocumentSegmentListApi(Resource):
elif args["enabled"].lower() == "false": elif args["enabled"].lower() == "false":
query = query.filter(DocumentSegment.enabled == False) query = query.filter(DocumentSegment.enabled == False)
segments = query.paginate(page=page, per_page=limit, max_per_page=100, error_out=False) segments = db.paginate(select=query, page=page, per_page=limit, max_per_page=100, error_out=False)
response = { response = {
"data": marshal(segments.items, segment_fields), "data": marshal(segments.items, segment_fields),
@ -131,7 +138,7 @@ class DatasetDocumentSegmentListApi(Resource):
except services.errors.account.NoPermissionError as e: except services.errors.account.NoPermissionError as e:
raise Forbidden(str(e)) raise Forbidden(str(e))
SegmentService.delete_segments(segment_ids, document, dataset) SegmentService.delete_segments(segment_ids, document, dataset)
return {"result": "success"}, 200 return {"result": "success"}, 204
class DatasetDocumentSegmentApi(Resource): class DatasetDocumentSegmentApi(Resource):
@ -276,9 +283,11 @@ class DatasetDocumentSegmentUpdateApi(Resource):
raise ProviderNotInitializeError(ex.description) raise ProviderNotInitializeError(ex.description)
# check segment # check segment
segment_id = str(segment_id) segment_id = str(segment_id)
segment = DocumentSegment.query.filter( segment = (
DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id db.session.query(DocumentSegment)
).first() .filter(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id)
.first()
)
if not segment: if not segment:
raise NotFound("Segment not found.") raise NotFound("Segment not found.")
# The role of the current user in the ta table must be admin, owner, dataset_operator, or editor # The role of the current user in the ta table must be admin, owner, dataset_operator, or editor
@ -320,9 +329,11 @@ class DatasetDocumentSegmentUpdateApi(Resource):
raise NotFound("Document not found.") raise NotFound("Document not found.")
# check segment # check segment
segment_id = str(segment_id) segment_id = str(segment_id)
segment = DocumentSegment.query.filter( segment = (
DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id db.session.query(DocumentSegment)
).first() .filter(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id)
.first()
)
if not segment: if not segment:
raise NotFound("Segment not found.") raise NotFound("Segment not found.")
# The role of the current user in the ta table must be admin, owner, dataset_operator, or editor # The role of the current user in the ta table must be admin, owner, dataset_operator, or editor
@ -333,7 +344,7 @@ class DatasetDocumentSegmentUpdateApi(Resource):
except services.errors.account.NoPermissionError as e: except services.errors.account.NoPermissionError as e:
raise Forbidden(str(e)) raise Forbidden(str(e))
SegmentService.delete_segment(segment, document, dataset) SegmentService.delete_segment(segment, document, dataset)
return {"result": "success"}, 200 return {"result": "success"}, 204
class DatasetDocumentSegmentBatchImportApi(Resource): class DatasetDocumentSegmentBatchImportApi(Resource):
@ -363,7 +374,7 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
if len(request.files) > 1: if len(request.files) > 1:
raise TooManyFilesError() raise TooManyFilesError()
# check file type # check file type
if not file.filename.endswith(".csv"): if not file.filename or not file.filename.endswith(".csv"):
raise ValueError("Invalid file type. Only CSV files are allowed") raise ValueError("Invalid file type. Only CSV files are allowed")
try: try:
@ -423,9 +434,11 @@ class ChildChunkAddApi(Resource):
raise NotFound("Document not found.") raise NotFound("Document not found.")
# check segment # check segment
segment_id = str(segment_id) segment_id = str(segment_id)
segment = DocumentSegment.query.filter( segment = (
DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id db.session.query(DocumentSegment)
).first() .filter(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id)
.first()
)
if not segment: if not segment:
raise NotFound("Segment not found.") raise NotFound("Segment not found.")
if not current_user.is_dataset_editor: if not current_user.is_dataset_editor:
@ -478,9 +491,11 @@ class ChildChunkAddApi(Resource):
raise NotFound("Document not found.") raise NotFound("Document not found.")
# check segment # check segment
segment_id = str(segment_id) segment_id = str(segment_id)
segment = DocumentSegment.query.filter( segment = (
DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id db.session.query(DocumentSegment)
).first() .filter(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id)
.first()
)
if not segment: if not segment:
raise NotFound("Segment not found.") raise NotFound("Segment not found.")
parser = reqparse.RequestParser() parser = reqparse.RequestParser()
@ -523,9 +538,11 @@ class ChildChunkAddApi(Resource):
raise NotFound("Document not found.") raise NotFound("Document not found.")
# check segment # check segment
segment_id = str(segment_id) segment_id = str(segment_id)
segment = DocumentSegment.query.filter( segment = (
DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id db.session.query(DocumentSegment)
).first() .filter(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id)
.first()
)
if not segment: if not segment:
raise NotFound("Segment not found.") raise NotFound("Segment not found.")
# The role of the current user in the ta table must be admin, owner, dataset_operator, or editor # The role of the current user in the ta table must be admin, owner, dataset_operator, or editor
@ -567,16 +584,20 @@ class ChildChunkUpdateApi(Resource):
raise NotFound("Document not found.") raise NotFound("Document not found.")
# check segment # check segment
segment_id = str(segment_id) segment_id = str(segment_id)
segment = DocumentSegment.query.filter( segment = (
DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id db.session.query(DocumentSegment)
).first() .filter(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id)
.first()
)
if not segment: if not segment:
raise NotFound("Segment not found.") raise NotFound("Segment not found.")
# check child chunk # check child chunk
child_chunk_id = str(child_chunk_id) child_chunk_id = str(child_chunk_id)
child_chunk = ChildChunk.query.filter( child_chunk = (
ChildChunk.id == str(child_chunk_id), ChildChunk.tenant_id == current_user.current_tenant_id db.session.query(ChildChunk)
).first() .filter(ChildChunk.id == str(child_chunk_id), ChildChunk.tenant_id == current_user.current_tenant_id)
.first()
)
if not child_chunk: if not child_chunk:
raise NotFound("Child chunk not found.") raise NotFound("Child chunk not found.")
# The role of the current user in the ta table must be admin, owner, dataset_operator, or editor # The role of the current user in the ta table must be admin, owner, dataset_operator, or editor
@ -590,7 +611,7 @@ class ChildChunkUpdateApi(Resource):
SegmentService.delete_child_chunk(child_chunk, dataset) SegmentService.delete_child_chunk(child_chunk, dataset)
except ChildChunkDeleteIndexServiceError as e: except ChildChunkDeleteIndexServiceError as e:
raise ChildChunkDeleteIndexError(str(e)) raise ChildChunkDeleteIndexError(str(e))
return {"result": "success"}, 200 return {"result": "success"}, 204
@setup_required @setup_required
@login_required @login_required
@ -612,16 +633,20 @@ class ChildChunkUpdateApi(Resource):
raise NotFound("Document not found.") raise NotFound("Document not found.")
# check segment # check segment
segment_id = str(segment_id) segment_id = str(segment_id)
segment = DocumentSegment.query.filter( segment = (
DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id db.session.query(DocumentSegment)
).first() .filter(DocumentSegment.id == str(segment_id), DocumentSegment.tenant_id == current_user.current_tenant_id)
.first()
)
if not segment: if not segment:
raise NotFound("Segment not found.") raise NotFound("Segment not found.")
# check child chunk # check child chunk
child_chunk_id = str(child_chunk_id) child_chunk_id = str(child_chunk_id)
child_chunk = ChildChunk.query.filter( child_chunk = (
ChildChunk.id == str(child_chunk_id), ChildChunk.tenant_id == current_user.current_tenant_id db.session.query(ChildChunk)
).first() .filter(ChildChunk.id == str(child_chunk_id), ChildChunk.tenant_id == current_user.current_tenant_id)
.first()
)
if not child_chunk: if not child_chunk:
raise NotFound("Child chunk not found.") raise NotFound("Child chunk not found.")
# The role of the current user in the ta table must be admin, owner, dataset_operator, or editor # The role of the current user in the ta table must be admin, owner, dataset_operator, or editor

8
api/controllers/console/datasets/external.py
Unescape Escape View File

@ -1,6 +1,6 @@
from flask import request from flask import request
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import Resource, marshal, reqparse # type: ignore from flask_restful import Resource, marshal, reqparse
from werkzeug.exceptions import Forbidden, InternalServerError, NotFound from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
import services import services
@ -135,7 +135,7 @@ class ExternalApiTemplateApi(Resource):
raise Forbidden() raise Forbidden()
ExternalDatasetService.delete_external_knowledge_api(current_user.current_tenant_id, external_knowledge_api_id) 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): class ExternalApiUseCheckApi(Resource):
@ -209,6 +209,7 @@ class ExternalKnowledgeHitTestingApi(Resource):
parser = reqparse.RequestParser() parser = reqparse.RequestParser()
parser.add_argument("query", type=str, location="json") parser.add_argument("query", type=str, location="json")
parser.add_argument("external_retrieval_model", type=dict, required=False, location="json") parser.add_argument("external_retrieval_model", type=dict, required=False, location="json")
parser.add_argument("metadata_filtering_conditions", type=dict, required=False, location="json")
args = parser.parse_args() args = parser.parse_args()
HitTestingService.hit_testing_args_check(args) HitTestingService.hit_testing_args_check(args)
@ -219,6 +220,7 @@ class ExternalKnowledgeHitTestingApi(Resource):
query=args["query"], query=args["query"],
account=current_user, account=current_user,
external_retrieval_model=args["external_retrieval_model"], external_retrieval_model=args["external_retrieval_model"],
metadata_filtering_conditions=args["metadata_filtering_conditions"],
) )
return response return response

2
api/controllers/console/datasets/hit_testing.py
Unescape Escape View File

@ -1,4 +1,4 @@
from flask_restful import Resource # type: ignore from flask_restful import Resource
from controllers.console import api from controllers.console import api
from controllers.console.datasets.hit_testing_base import DatasetsHitTestingBase from controllers.console.datasets.hit_testing_base import DatasetsHitTestingBase

4
api/controllers/console/datasets/hit_testing_base.py
Unescape Escape View File

@ -1,7 +1,7 @@
import logging import logging
from flask_login import current_user # type: ignore from flask_login import current_user
from flask_restful import marshal, reqparse # type: ignore from flask_restful import marshal, reqparse
from werkzeug.exceptions import Forbidden, InternalServerError, NotFound from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
import services.dataset_service import services.dataset_service

6
api/controllers/console/datasets/metadata.py
Unescape Escape View File

@ -1,5 +1,5 @@
from flask_login import current_user # type: ignore # type: ignore from flask_login import current_user
from flask_restful import Resource, marshal_with, reqparse # type: ignore from flask_restful import Resource, marshal_with, reqparse
from werkzeug.exceptions import NotFound from werkzeug.exceptions import NotFound
from controllers.console import api from controllers.console import api
@ -82,7 +82,7 @@ class DatasetMetadataApi(Resource):
DatasetService.check_dataset_permission(dataset, current_user) DatasetService.check_dataset_permission(dataset, current_user)
MetadataService.delete_metadata(dataset_id_str, metadata_id_str) MetadataService.delete_metadata(dataset_id_str, metadata_id_str)
return 200 return {"result": "success"}, 204
class DatasetMetadataBuiltInFieldApi(Resource): class DatasetMetadataBuiltInFieldApi(Resource):

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