mirror of
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synced 2026-03-27 13:28:32 +07:00
update local source develop guide (#596)
* update local source develop guide * improve formatting and capitalization * Update en/self-host/advanced-deployments/local-source-code.mdx Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * update the zh and jp docs --------- Co-authored-by: Riskey <riskey47@dify.ai> Co-authored-by: crazywoola <100913391+crazywoola@users.noreply.github.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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@@ -30,8 +30,12 @@ A series of middlewares for storage (e.g. PostgreSQL / Redis / Weaviate (if not
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```Bash
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cd docker
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cp middleware.env.example middleware.env
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docker compose -f docker-compose.middleware.yaml up -d
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# change the profile to mysql if you are not using postgresql
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# change the profile to other vector database if you are not using weaviate
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docker compose -f docker-compose.middleware.yaml --profile postgresql --profile weaviate -p dify up -d
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```
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---
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@@ -75,7 +79,7 @@ The backend services include
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[uv](https://docs.astral.sh/uv/getting-started/installation/) is used to manage dependencies.
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Install the required dependencies with `uv` by running:
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```
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uv sync
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uv sync --dev
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```
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> For macOS: install libmagic with `brew install libmagic`.
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@@ -111,14 +115,14 @@ To consume asynchronous tasks from the queue, such as dataset file import and da
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- for macOS or Linux
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```
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uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace
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uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor
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```
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If you are using a Windows system to start the Worker service, please use the following command instead:
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- for Windows
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```
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uv run celery -A app.celery worker -P solo --without-gossip --without-mingle -Q dataset,generation,mail,ops_trace --loglevel INFO
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uv run celery -A app.celery worker -P solo --without-gossip --without-mingle --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor
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```
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Expected output:
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@@ -189,6 +193,14 @@ To consume asynchronous tasks from the queue, such as dataset file import and da
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2025-04-28 17:07:15,742 INFO [pidbox.py:111] pidbox: Connected to redis://:**@localhost:6379/1.
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```
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### Start the Beat Service
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Additionally, if you want to debug the celery scheduled tasks or run the Schedule Trigger node, you can run the following command in another terminal to start the beat service:
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```bash
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uv run celery -A app.celery beat
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```
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---
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## Setup Web Service
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@@ -35,8 +35,12 @@ git clone https://github.com/langgenius/dify.git
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```Bash
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cd docker
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cp middleware.env.example middleware.env
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docker compose -f docker-compose.middleware.yaml up -d
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# postgresql を使用していない場合は profile を mysql に変更してください
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# weaviate を使用していない場合は profile を他のベクターデータベースに変更してください
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docker compose -f docker-compose.middleware.yaml --profile postgresql --profile weaviate -p dify up -d
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```
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***
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@@ -80,7 +84,7 @@ docker compose -f docker-compose.middleware.yaml up -d
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依存関係の管理には [uv](https://docs.astral.sh/uv/getting-started/installation/) を使用します。
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`uv` で必要な依存関係をインストールするには、次のコマンドを実行します：
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```
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uv sync
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uv sync --dev
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```
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> macOS の場合：`brew install libmagic` で libmagic をインストールしてください。
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@@ -116,14 +120,14 @@ docker compose -f docker-compose.middleware.yaml up -d
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- macOS または Linux の場合
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```
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uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace
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uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor
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```
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Windows システムで Worker サービスを起動する場合は、代わりに次のコマンドを使用してください：
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- Windows の場合
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```
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uv run celery -A app.celery worker -P solo --without-gossip --without-mingle -Q dataset,generation,mail,ops_trace --loglevel INFO
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uv run celery -A app.celery worker -P solo --without-gossip --without-mingle --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor
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```
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期待される出力：
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@@ -194,6 +198,14 @@ docker compose -f docker-compose.middleware.yaml up -d
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2025-04-28 17:07:15,742 INFO [pidbox.py:111] pidbox: Connected to redis://:**@localhost:6379/1.
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```
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### Beat サービスの起動
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さらに、Celery のスケジュールタスクをデバッグしたり、Schedule Trigger ノードを実行したい場合は、別のターミナルで以下のコマンドを実行して Beat サービスを起動できます：
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```bash
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uv run celery -A app.celery beat
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```
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---
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## Web サービスのセットアップ
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@@ -34,8 +34,12 @@ Dify 后端服务需要一系列用于存储（如 PostgreSQL / Redis / Weaviate
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```Bash
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cd docker
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cp middleware.env.example middleware.env
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docker compose -f docker-compose.middleware.yaml up -d
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# 如果不使用 postgresql，请将 profile 更改为 mysql
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# 如果不使用 weaviate，请将 profile 更改为其他向量数据库
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docker compose -f docker-compose.middleware.yaml --profile postgresql --profile weaviate -p dify up -d
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```
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---
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@@ -79,7 +83,7 @@ docker compose -f docker-compose.middleware.yaml up -d
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使用 [uv](https://docs.astral.sh/uv/getting-started/installation/) 管理依赖。
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通过运行以下命令使用 `uv` 安装所需依赖：
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```
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uv sync
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uv sync --dev
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```
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> 对于 macOS：使用 `brew install libmagic` 安装 libmagic。
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@@ -115,14 +119,14 @@ docker compose -f docker-compose.middleware.yaml up -d
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- 对于 macOS 或 Linux
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```
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uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace
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uv run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor
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```
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如果你使用 Windows 系统启动 Worker 服务，请使用以下命令：
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- 对于 Windows
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```
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uv run celery -A app.celery worker -P solo --without-gossip --without-mingle -Q dataset,generation,mail,ops_trace --loglevel INFO
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uv run celery -A app.celery worker -P solo --without-gossip --without-mingle --loglevel INFO -Q dataset,priority_dataset,priority_pipeline,pipeline,mail,ops_trace,app_deletion,plugin,workflow_storage,conversation,workflow,schedule_poller,schedule_executor,triggered_workflow_dispatcher,trigger_refresh_executor
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```
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预期输出：
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@@ -193,6 +197,14 @@ docker compose -f docker-compose.middleware.yaml up -d
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2025-04-28 17:07:15,742 INFO [pidbox.py:111] pidbox: Connected to redis://:**@localhost:6379/1.
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```
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### 启动 Beat 服务
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如需调试 celery 定时任务或运行定时触发器节点，可以在另一个终端中运行以下命令启动 beat 服务：
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```bash
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uv run celery -A app.celery beat
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```
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---
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## 设置 Web 服务
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