Python Docker安装依赖项'；依赖关系_Python_Docker_Docker Compose

Python Docker安装依赖项'；依赖关系

python docker docker-compose

Python Docker安装依赖项'；依赖关系,python,docker,docker-compose,Python,Docker,Docker Compose,我正试图与docker一起为一个使用AWS红移和s3的数据管道项目启动气流。在运行docker build-t我的气流后。docker compose up成功输出以下错误。在docker构建过程中，似乎没有安装requirement.txt中依赖项的依赖项。在这种情况下，将安装requirement.txt中的气流，尽管气流的依赖项“typing_extensions”未安装运行docker compose up时出现输出错误： webserver_1 | Traceback (most

我正试图与docker一起为一个使用AWS红移和s3的数据管道项目启动气流。在运行docker build-t我的气流后。docker compose up成功输出以下错误。在docker构建过程中，似乎没有安装requirement.txt中依赖项的依赖项。在这种情况下，将安装requirement.txt中的气流，尽管气流的依赖项“typing_extensions”未安装

运行

docker compose up时出现输出错误

：

webserver_1  | Traceback (most recent call last):
webserver_1  |   File "/usr/local/bin/airflow", line 26, in <module>
webserver_1  |     from airflow.bin.cli import CLIFactory
webserver_1  |   File "/usr/local/lib/python3.8/site-packages/airflow/bin/cli.py", line 79, in <module>
webserver_1  |     api_module = import_module(conf.get('cli', 'api_client'))  # type: Any
webserver_1  |   File "/usr/local/lib/python3.8/importlib/__init__.py", line 127, in import_module
webserver_1  |     return _bootstrap._gcd_import(name[level:], package, level)
webserver_1  |   File "/usr/local/lib/python3.8/site-packages/airflow/api/client/local_client.py", line 24, in <module>
webserver_1  |     from airflow.api.common.experimental import delete_dag
webserver_1  |   File "/usr/local/lib/python3.8/site-packages/airflow/api/common/experimental/delete_dag.py", line 25, in <module>
webserver_1  |     from airflow.models.serialized_dag import SerializedDagModel
webserver_1  |   File "/usr/local/lib/python3.8/site-packages/airflow/models/serialized_dag.py", line 32, in <module>
webserver_1  |     from airflow.serialization.serialized_objects import SerializedDAG
webserver_1  |   File "/usr/local/lib/python3.8/site-packages/airflow/serialization/serialized_objects.py", line 36, in <module>
webserver_1  |     Traceback (most recent call last):
webserver_1  |   File "/usr/local/bin/airflow", line 26, in <module>
webserver_1  |     from airflow.bin.cli import CLIFactory
webserver_1  |   File "/usr/local/lib/python3.8/site-packages/airflow/bin/cli.py", line 79, in <module>
webserver_1  |     api_module = import_module(conf.get('cli', 'api_client'))  # type: Any
webserver_1  |   File "/usr/local/lib/python3.8/importlib/__init__.py", line 127, in import_module
webserver_1  |     return _bootstrap._gcd_import(name[level:], package, level)
webserver_1  |   File "/usr/local/lib/python3.8/site-packages/airflow/api/client/local_client.py", line 24, in <module>
webserver_1  |     from airflow.api.common.experimental import delete_dag
webserver_1  |   File "/usr/local/lib/python3.8/site-packages/airflow/api/common/experimental/delete_dag.py", line 25, in <module>
webserver_1  |     from airflow.models.serialized_dag import SerializedDagModel
webserver_1  |   File "/usr/local/lib/python3.8/site-packages/airflow/models/serialized_dag.py", line 32, in <module>
webserver_1  |     from airflow.serialization.serialized_objects import SerializedDAG
webserver_1  |   File "/usr/local/lib/python3.8/site-packages/airflow/serialization/serialized_objects.py", line 36, in <module>
webserver_1  |     from airflow.serialization.json_schema import Validator, load_dag_schema
webserver_1  |   File "/usr/local/lib/python3.8/site-packages/airflow/serialization/json_schema.py", line 26, in <module>
webserver_1  |     from typing_extensions import Protocol
webserver_1  | ModuleNotFoundError: No module named 'typing_extensions'
webserver_1  | from airflow.serialization.json_schema import Validator, load_dag_schema
webserver_1  |   File "/usr/local/lib/python3.8/site-packages/airflow/serialization/json_schema.py", line 26, in <module>
webserver_1  |     from typing_extensions import Protocol
webserver_1  | ModuleNotFoundError: No module named 'typing_extensions'

docker compose.yml:

version: '3.7'
services:
    postgres:
        image: postgres:9.6
        environment:
            - POSTGRES_USER=learning-projects
            - POSTGRES_PASSWORD=Oldmans2ricebowls1tongs4graveyards3
            - POSTGRES_DB=dwh
        logging:
            options:
                max-size: 10m
                max-file: "3"
        ports:
            - "5439"

    webserver:
        image: my-airflow
        # build:
        #     context: .
        #     args:
        #         AIRFLOW_DEPS: "postgres, aws"
        restart: always
        depends_on:
            - postgres
        environment:
            - LOAD_EX=n
            - EXECUTOR=Local
        logging:
            options:
                max-size: 10m
                max-file: "3"
        volumes:
            - ./dags:/usr/local/airflow/dags
            - ./plugins:/usr/local/airflow/plugins
            - ./requirements.txt:/requirements.txt
        ports:
            - "8080"

        command: webserver
        # healthcheck:
        #     test: ["CMD-SHELL", "[ -f /usr/local/airflow/airflow-webserver.pid ]"]
        #     interval: 30s
        #     timeout: 30s
        #     retries: 3

#!/usr/bin/env bash

TRY_LOOP="20"

# Global defaults and back-compat
: "${AIRFLOW_HOME:="/usr/local/airflow"}"
: "${AIRFLOW__CORE__FERNET_KEY:=${FERNET_KEY:=$(python -c "from cryptography.fernet import Fernet; FERNET_KEY = Fernet.generate_key().decode(); print(FERNET_KEY)")}}"
: "${AIRFLOW__CORE__EXECUTOR:=${EXECUTOR:-Sequential}Executor}"


export \
  AIRFLOW_HOME \
  AIRFLOW__CORE__EXECUTOR \
  AIRFLOW__CORE__FERNET_KEY 

case "$1" in
  webserver)
    airflow initdb
    if [ "$AIRFLOW__CORE__EXECUTOR" = "LocalExecutor" ] || [ "$AIRFLOW__CORE__EXECUTOR" = "SequentialExecutor" ]; then
      # With the "Local" and "Sequential" executors it should all run in one container.
      airflow scheduler &
    fi
    exec airflow webserver
    ;;
  worker|scheduler)
    # Give the webserver time to run initdb.
    sleep 10
    exec airflow "$@"
    ;;
  flower)
    sleep 10
    exec airflow "$@"
    ;;
  version)
    exec airflow "$@"
    ;;
  *)
    # The command is something like bash, not an airflow subcommand. Just run it in the right environment.
    exec "$@"
    ;;
esac

entrypoint.sh:

version: '3.7'
services:
    postgres:
        image: postgres:9.6
        environment:
            - POSTGRES_USER=learning-projects
            - POSTGRES_PASSWORD=Oldmans2ricebowls1tongs4graveyards3
            - POSTGRES_DB=dwh
        logging:
            options:
                max-size: 10m
                max-file: "3"
        ports:
            - "5439"

    webserver:
        image: my-airflow
        # build:
        #     context: .
        #     args:
        #         AIRFLOW_DEPS: "postgres, aws"
        restart: always
        depends_on:
            - postgres
        environment:
            - LOAD_EX=n
            - EXECUTOR=Local
        logging:
            options:
                max-size: 10m
                max-file: "3"
        volumes:
            - ./dags:/usr/local/airflow/dags
            - ./plugins:/usr/local/airflow/plugins
            - ./requirements.txt:/requirements.txt
        ports:
            - "8080"

        command: webserver
        # healthcheck:
        #     test: ["CMD-SHELL", "[ -f /usr/local/airflow/airflow-webserver.pid ]"]
        #     interval: 30s
        #     timeout: 30s
        #     retries: 3

#!/usr/bin/env bash

TRY_LOOP="20"

# Global defaults and back-compat
: "${AIRFLOW_HOME:="/usr/local/airflow"}"
: "${AIRFLOW__CORE__FERNET_KEY:=${FERNET_KEY:=$(python -c "from cryptography.fernet import Fernet; FERNET_KEY = Fernet.generate_key().decode(); print(FERNET_KEY)")}}"
: "${AIRFLOW__CORE__EXECUTOR:=${EXECUTOR:-Sequential}Executor}"


export \
  AIRFLOW_HOME \
  AIRFLOW__CORE__EXECUTOR \
  AIRFLOW__CORE__FERNET_KEY 

case "$1" in
  webserver)
    airflow initdb
    if [ "$AIRFLOW__CORE__EXECUTOR" = "LocalExecutor" ] || [ "$AIRFLOW__CORE__EXECUTOR" = "SequentialExecutor" ]; then
      # With the "Local" and "Sequential" executors it should all run in one container.
      airflow scheduler &
    fi
    exec airflow webserver
    ;;
  worker|scheduler)
    # Give the webserver time to run initdb.
    sleep 10
    exec airflow "$@"
    ;;
  flower)
    sleep 10
    exec airflow "$@"
    ;;
  version)
    exec airflow "$@"
    ;;
  *)
    # The command is something like bash, not an airflow subcommand. Just run it in the right environment.
    exec "$@"
    ;;
esac

气流的

setup.py中可能缺少。只需手动将其添加到您的requirements.txt
。我该怎么做@气流的setup.py
中可能缺少KlausD。只需手动将其添加到您的requirements.txt
。我该怎么做@美元。