nginx:
    image: nginx:latest
    restart: always
    volumes:
      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
      - ./nginx/proxy.conf:/etc/nginx/proxy.conf
      - ./nginx/conf.d:/etc/nginx/conf.d
      #- ./nginx/ssl:/etc/ssl
    depends_on:
      - api
      - web
    ports:
      # - "80:80" #元の設定
      - "8080:80" #変更後の設定
      #- "443:443"

  web:
    image: langgenius/dify-web:0.6.9
    restart: always
    environment:
      CONSOLE_API_URL: ''
      APP_API_URL: ''
      SENTRY_DSN: ''

  db:
    image: postgres:15-alpine
    restart: always
    environment:
      PGUSER: postgres
      POSTGRES_PASSWORD: difyai123456
      POSTGRES_DB: dify
      PGDATA: /var/lib/postgresql/data/pgdata
    volumes:
      - ./volumes/db/data:/var/lib/postgresql/data
    healthcheck:
      test: [ "CMD", "pg_isready" ]
      interval: 1s
      timeout: 3s
      retries: 30

version: '3'

# ===========================================================
services:
# -----------------------------------------------------------
  api:
    image: langgenius/dify-api:0.6.9
    restart: always
    environment:
      MODE: api
      LOG_LEVEL: INFO
      SECRET_KEY: sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U
      CONSOLE_WEB_URL: ''
      INIT_PASSWORD: ''
      CONSOLE_API_URL: ''
      SERVICE_API_URL: ''
      APP_WEB_URL: ''
      FILES_URL: ''
      FILES_ACCESS_TIMEOUT: 300
      MIGRATION_ENABLED: 'true'
      DB_USERNAME: postgres
      DB_PASSWORD: difyai123456
      DB_HOST: db
      DB_PORT: 5432
      DB_DATABASE: dify
      REDIS_HOST: redis
      REDIS_PORT: 6379
      REDIS_USERNAME: ''
      REDIS_PASSWORD: difyai123456
      REDIS_USE_SSL: 'false'
      REDIS_DB: 0
      CELERY_BROKER_URL: redis://:difyai123456@redis:6379/1
      WEB_API_CORS_ALLOW_ORIGINS: '*'
      CONSOLE_CORS_ALLOW_ORIGINS: '*'
      STORAGE_TYPE: local
      STORAGE_LOCAL_PATH: storage
      S3_ENDPOINT: 'https://xxx.r2.cloudflarestorage.com'
      S3_BUCKET_NAME: 'difyai'
      S3_ACCESS_KEY: 'ak-difyai'
      S3_SECRET_KEY: 'sk-difyai'
      S3_REGION: 'us-east-1'
      AZURE_BLOB_ACCOUNT_NAME: 'difyai'
      AZURE_BLOB_ACCOUNT_KEY: 'difyai'
      AZURE_BLOB_CONTAINER_NAME: 'difyai-container'
      AZURE_BLOB_ACCOUNT_URL: 'https://<your_account_name>.blob.core.windows.net'
      GOOGLE_STORAGE_BUCKET_NAME: 'yout-bucket-name'
      GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: 'your-google-service-account-json-base64-string'
      VECTOR_STORE: weaviate
      WEAVIATE_ENDPOINT: http://weaviate:8080
      WEAVIATE_API_KEY: WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
      QDRANT_URL: http://qdrant:6333
      QDRANT_API_KEY: difyai123456
      QDRANT_CLIENT_TIMEOUT: 20
      QDRANT_GRPC_ENABLED: 'false'
      QDRANT_GRPC_PORT: 6334
      MILVUS_HOST: 127.0.0.1
      MILVUS_PORT: 19530
      MILVUS_USER: root
      MILVUS_PASSWORD: Milvus
      MILVUS_SECURE: 'false'
      RELYT_HOST: db
      RELYT_PORT: 5432
      RELYT_USER: postgres
      RELYT_PASSWORD: difyai123456
      RELYT_DATABASE: postgres
      PGVECTOR_HOST: pgvector
      PGVECTOR_PORT: 5432
      PGVECTOR_USER: postgres
      PGVECTOR_PASSWORD: difyai123456
      PGVECTOR_DATABASE: dify
      MAIL_TYPE: ''
      MAIL_DEFAULT_SEND_FROM: 'YOUR EMAIL FROM (eg: no-reply <no-reply@dify.ai>)'
      SMTP_SERVER: ''
      SMTP_PORT: 465
      SMTP_USERNAME: ''
      SMTP_PASSWORD: ''
      SMTP_USE_TLS: 'true'
      SMTP_OPPORTUNISTIC_TLS: 'false'
      RESEND_API_KEY: ''
      RESEND_API_URL: https://api.resend.com
      SENTRY_DSN: ''
      SENTRY_TRACES_SAMPLE_RATE: 1.0
      SENTRY_PROFILES_SAMPLE_RATE: 1.0
      NOTION_INTEGRATION_TYPE: public
      NOTION_CLIENT_SECRET: you-client-secret
      NOTION_CLIENT_ID: you-client-id
      NOTION_INTERNAL_SECRET: you-internal-secret
      CODE_EXECUTION_ENDPOINT: "http://sandbox:8194"
      CODE_EXECUTION_API_KEY: dify-sandbox
      CODE_MAX_NUMBER: 9223372036854775807
      CODE_MIN_NUMBER: -9223372036854775808
      CODE_MAX_STRING_LENGTH: 80000
      TEMPLATE_TRANSFORM_MAX_LENGTH: 80000
      CODE_MAX_STRING_ARRAY_LENGTH: 30
      CODE_MAX_OBJECT_ARRAY_LENGTH: 30
      CODE_MAX_NUMBER_ARRAY_LENGTH: 1000
      SSRF_PROXY_HTTP_URL: 'http://ssrf_proxy:3128'
      SSRF_PROXY_HTTPS_URL: 'http://ssrf_proxy:3128'
      INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: 1000
    depends_on:
      - db
      - redis
    volumes:
      - ./volumes/app/storage:/app/api/storage
    networks:
      - ssrf_proxy_network
      - default

# -----------------------------------------------------------
  worker:
    image: langgenius/dify-api:0.6.9
    restart: always
    environment:
      CONSOLE_WEB_URL: ''
      MODE: worker
      LOG_LEVEL: INFO
      SECRET_KEY: sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U
      DB_USERNAME: postgres
      DB_PASSWORD: difyai123456
      DB_HOST: db
      DB_PORT: 5432
      DB_DATABASE: dify
      REDIS_HOST: redis
      REDIS_PORT: 6379
      REDIS_USERNAME: ''
      REDIS_PASSWORD: difyai123456
      REDIS_DB: 0
      REDIS_USE_SSL: 'false'
      CELERY_BROKER_URL: redis://:difyai123456@redis:6379/1
      STORAGE_TYPE: local
      STORAGE_LOCAL_PATH: storage
      S3_ENDPOINT: 'https://xxx.r2.cloudflarestorage.com'
      S3_BUCKET_NAME: 'difyai'
      S3_ACCESS_KEY: 'ak-difyai'
      S3 SECRET_KEY: 'sk-difyai'
      S3_REGION: 'us-east-1'
      AZURE_BLOB_ACCOUNT_NAME: 'difyai'
      AZURE_BLOB_ACCOUNT_KEY: 'difyai'
      AZURE_BLOB_CONTAINER_NAME: 'difyai-container'
      AZURE_BLOB_ACCOUNT_URL: 'https://<your_account_name>.blob.core.windows.net'
      GOOGLE_STORAGE_BUCKET_NAME: 'yout-bucket-name'
      GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: 'your-google-service-account-json-base64-string'
      VECTOR_STORE: weaviate
      WEAVIATE_ENDPOINT: http://weaviate:8080
      WEAVIATE_API_KEY: WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
      QDRANT_URL: http://qdrant:6333
      QDRANT_API_KEY: difyai123456
      QDRANT_CLIENT_TIMEOUT: 20
      QDRANT_GRPC_ENABLED: 'false'
      QDRANT_GRPC_PORT: 6334
      MILVUS_HOST: 127.0.0.1
      MILVUS_PORT: 19530
      MILVUS_USER: root
      MILVUS_PASSWORD: Milvus
      MILVUS_SECURE: 'false'
      MAIL_TYPE: ''
      MAIL_DEFAULT_SEND_FROM: 'YOUR EMAIL FROM (eg: no-reply <no-reply@dify.ai>)'
      SMTP_SERVER: ''
      SMTP_PORT: 465
      SMTP_USERNAME: ''
      SMTP_PASSWORD: ''
      SMTP_USE_TLS: 'true'
      SMTP_OPPORTUNISTIC_TLS: 'false'
      RESEND_API_KEY: ''
      RESEND_API_URL: https://api.resend.com
      RELYT_HOST: db
      RELYT_PORT: 5432
      RELYT_USER: postgres
      RELYT_PASSWORD: difyai123456
      RELYT_DATABASE: postgres
      PGVECTOR_HOST: pgvector
      PGVECTOR_PORT: 5432
      PGVECTOR_USER: postgres
      PGVECTOR_PASSWORD: difyai123456
      PGVECTOR_DATABASE: dify
      NOTION_INTEGRATION_TYPE: public
      NOTION_CLIENT_SECRET: you-client-secret
      NOTION_CLIENT_ID: you-client-id
      NOTION_INTERNAL_SECRET: you-internal-secret
      INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: 1000
    depends_on:
      - db
      - redis
    volumes:
      - ./volumes/app/storage:/app/api/storage
    networks:
      - ssrf_proxy_network
      - default

# -----------------------------------------------------------
  web:
    image: langgenius/dify-web:0.6.9
    restart: always
    environment:
      CONSOLE_API_URL: ''
      APP_API_URL: ''
      SENTRY_DSN: ''
    networks:
      - ssrf_proxy_network # 修正: defaultネットワークにssrf_proxy_networkを追加
      - default

# -----------------------------------------------------------
  db:
    image: postgres:15-alpine
    restart: always
    environment:
      PGUSER: postgres
      POSTGRES_PASSWORD: difyai123456
      POSTGRES_DB: dify
      PGDATA: /var/lib/postgresql/data/pgdata
    volumes:
      - postgres_data:/var/lib/postgresql/data # 修正: ./volumes/db/dataからpostgres_dataに変更
    healthcheck:
      test: [ "CMD", "pg_isready" ]
      interval: 1s
      timeout: 3s
      retries: 30
    networks:
      - default

# -----------------------------------------------------------
  redis:
    image: redis:6-alpine
    restart: always
    volumes:
      # - redis_data:/data # 修正: ./volumes/redis/dataからredis_dataに変更
      - ./volumes/redis/data:/data
    command: redis-server --requirepass difyai123456
    healthcheck:
      test: [ "CMD", "redis-cli", "ping" ]
    networks:
      - default

# -----------------------------------------------------------
  weaviate:
    image: semitechnologies/weaviate:1.19.0
    restart: always
    volumes:
      - ./volumes/weaviate:/var/lib/weaviate
    environment:
      QUERY_DEFAULTS_LIMIT: 25
      AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: 'false'
      PERSISTENCE_DATA_PATH: '/var/lib/weaviate'
      DEFAULT_VECTORIZER_MODULE: 'none'
      CLUSTER_HOSTNAME: 'node1'
      AUTHENTICATION_APIKEY_ENABLED: 'true'
      AUTHENTICATION_APIKEY_ALLOWED_KEYS: 'WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih'
      AUTHENTICATION_APIKEY_USERS: 'hello@dify.ai'
      AUTHORIZATION_ADMINLIST_ENABLED: 'true'
      AUTHORIZATION_ADMINLIST_USERS: 'hello@dify.ai'
    networks:
      - default

# -----------------------------------------------------------
  sandbox:
    image: langgenius/dify-sandbox:0.2.0
    restart: always
    environment:
      API_KEY: dify-sandbox
      GIN_MODE: 'release'
      WORKER_TIMEOUT: 15
      ENABLE_NETWORK: 'true'
      HTTP_PROXY: 'http://ssrf_proxy:3128'
      HTTPS_PROXY: 'http://ssrf_proxy:3128'
    volumes:
      - ./volumes/sandbox/dependencies:/dependencies
    networks:
      - ssrf_proxy_network

# -----------------------------------------------------------
  ssrf_proxy:
    image: ubuntu/squid:latest
    restart: always
    volumes:
      - ./volumes/ssrf_proxy/squid.conf:/etc/squid/squid.conf
    networks:
      - ssrf_proxy_network
      - default

# -----------------------------------------------------------
  nginx:
    image: nginx:latest
    restart: always
    volumes:
      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
      - ./nginx/proxy.conf:/etc/nginx/proxy.conf
      - ./nginx/conf.d:/etc/nginx/conf.d
    depends_on:
      - api
      - web
    ports:
      - "8080:80"
    networks:
      - default # 修正: defaultネットワークを追加

# ===========================================================
networks:
  ssrf_proxy_network:
    driver: bridge
    internal: true
  default: # 修正: defaultネットワークを追加
    driver: bridge

# ===========================================================
volumes:
  postgres_data: # 追加: 新しいボリュームを定義
  # redis_data: # 追加: 新しいボリュームを定義```

version: '3'

# ===========================================================
services:
# -----------------------------------------------------------
  api:
    image: langgenius/dify-api:0.6.9
    restart: always
    environment:
      MODE: api
      LOG_LEVEL: INFO
      SECRET_KEY: sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U
      CONSOLE_WEB_URL: ''
      INIT_PASSWORD: ''
      CONSOLE_API_URL: ''
      SERVICE_API_URL: ''
      APP_WEB_URL: ''
      FILES_URL: ''
      FILES_ACCESS_TIMEOUT: 300
      MIGRATION_ENABLED: 'true'
      DB_USERNAME: postgres
      DB_PASSWORD: difyai123456
      DB_HOST: db
      DB_PORT: 5432
      DB_DATABASE: dify
      REDIS_HOST: redis
      REDIS_PORT: 6379
      REDIS_USERNAME: ''
      REDIS_PASSWORD: difyai123456
      REDIS_USE_SSL: 'false'
      REDIS_DB: 0
      CELERY_BROKER_URL: redis://:difyai123456@redis:6379/1
      WEB_API_CORS_ALLOW_ORIGINS: '*'
      CONSOLE_CORS_ALLOW_ORIGINS: '*'
      STORAGE_TYPE: local
      STORAGE_LOCAL_PATH: storage
      S3_ENDPOINT: 'https://xxx.r2.cloudflarestorage.com'
      S3_BUCKET_NAME: 'difyai'
      S3_ACCESS_KEY: 'ak-difyai'
      S3_SECRET_KEY: 'sk-difyai'
      S3_REGION: 'us-east-1'
      AZURE_BLOB_ACCOUNT_NAME: 'difyai'
      AZURE_BLOB_ACCOUNT_KEY: 'difyai'
      AZURE_BLOB_CONTAINER_NAME: 'difyai-container'
      AZURE_BLOB_ACCOUNT_URL: 'https://<your_account_name>.blob.core.windows.net'
      GOOGLE_STORAGE_BUCKET_NAME: 'yout-bucket-name'
      GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: 'your-google-service-account-json-base64-string'
      VECTOR_STORE: weaviate
      WEAVIATE_ENDPOINT: http://weaviate:8080
      WEAVIATE_API_KEY: WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
      QDRANT_URL: http://qdrant:6333
      QDRANT_API_KEY: difyai123456
      QDRANT_CLIENT_TIMEOUT: 20
      QDRANT_GRPC_ENABLED: 'false'
      QDRANT_GRPC_PORT: 6334
      MILVUS_HOST: 127.0.0.1
      MILVUS_PORT: 19530
      MILVUS_USER: root
      MILVUS_PASSWORD: Milvus
      MILVUS_SECURE: 'false'
      RELYT_HOST: db
      RELYT_PORT: 5432
      RELYT_USER: postgres
      RELYT_PASSWORD: difyai123456
      RELYT_DATABASE: postgres
      PGVECTOR_HOST: pgvector
      PGVECTOR_PORT: 5432
      PGVECTOR_USER: postgres
      PGVECTOR_PASSWORD: difyai123456
      PGVECTOR_DATABASE: dify
      MAIL_TYPE: ''
      MAIL_DEFAULT_SEND_FROM: 'YOUR EMAIL FROM (eg: no-reply <no-reply@dify.ai>)'
      SMTP_SERVER: ''
      SMTP_PORT: 465
      SMTP_USERNAME: ''
      SMTP_PASSWORD: ''
      SMTP_USE_TLS: 'true'
      SMTP_OPPORTUNISTIC_TLS: 'false'
      RESEND_API_KEY: ''
      RESEND_API_URL: https://api.resend.com
      SENTRY_DSN: ''
      SENTRY_TRACES_SAMPLE_RATE: 1.0
      SENTRY_PROFILES_SAMPLE_RATE: 1.0
      NOTION_INTEGRATION_TYPE: public
      NOTION_CLIENT_SECRET: you-client-secret
      NOTION_CLIENT_ID: you-client-id
      NOTION_INTERNAL_SECRET: you-internal-secret
      CODE_EXECUTION_ENDPOINT: "http://sandbox:8194"
      CODE_EXECUTION_API_KEY: dify-sandbox
      CODE_MAX_NUMBER: 9223372036854775807
      CODE_MIN_NUMBER: -9223372036854775808
      CODE_MAX_STRING_LENGTH: 80000
      TEMPLATE_TRANSFORM_MAX_LENGTH: 80000
      CODE_MAX_STRING_ARRAY_LENGTH: 30
      CODE_MAX_OBJECT_ARRAY_LENGTH: 30
      CODE_MAX_NUMBER_ARRAY_LENGTH: 1000
      SSRF_PROXY_HTTP_URL: 'http://ssrf_proxy:3128'
      SSRF_PROXY_HTTPS_URL: 'http://ssrf_proxy:3128'
      INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: 1000
    depends_on:
      - db
      - redis
    volumes:
      - ./volumes/app/storage:/app/api/storage
    networks:
      - ssrf_proxy_network
      - default

# -----------------------------------------------------------
  worker:
    image: langgenius/dify-api:0.6.9
    restart: always
    environment:
      CONSOLE_WEB_URL: ''
      MODE: worker
      LOG_LEVEL: INFO
      SECRET_KEY: sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U
      DB_USERNAME: postgres
      DB_PASSWORD: difyai123456
      DB_HOST: db
      DB_PORT: 5432
      DB_DATABASE: dify
      REDIS_HOST: redis
      REDIS_PORT: 6379
      REDIS_USERNAME: ''
      REDIS_PASSWORD: difyai123456
      REDIS_DB: 0
      REDIS_USE_SSL: 'false'
      CELERY_BROKER_URL: redis://:difyai123456@redis:6379/1
      STORAGE_TYPE: local
      STORAGE_LOCAL_PATH: storage
      S3_ENDPOINT: 'https://xxx.r2.cloudflarestorage.com'
      S3_BUCKET_NAME: 'difyai'
      S3_ACCESS_KEY: 'ak-difyai'
      S3 SECRET_KEY: 'sk-difyai'
      S3_REGION: 'us-east-1'
      AZURE_BLOB_ACCOUNT_NAME: 'difyai'
      AZURE_BLOB_ACCOUNT_KEY: 'difyai'
      AZURE_BLOB_CONTAINER_NAME: 'difyai-container'
      AZURE_BLOB_ACCOUNT_URL: 'https://<your_account_name>.blob.core.windows.net'
      GOOGLE_STORAGE_BUCKET_NAME: 'yout-bucket-name'
      GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: 'your-google-service-account-json-base64-string'
      VECTOR_STORE: weaviate
      WEAVIATE_ENDPOINT: http://weaviate:8080
      WEAVIATE_API_KEY: WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
      QDRANT_URL: http://qdrant:6333
      QDRANT_API_KEY: difyai123456
      QDRANT_CLIENT_TIMEOUT: 20
      QDRANT_GRPC_ENABLED: 'false'
      QDRANT_GRPC_PORT: 6334
      MILVUS_HOST: 127.0.0.1
      MILVUS_PORT: 19530
      MILVUS_USER: root
      MILVUS_PASSWORD: Milvus
      MILVUS_SECURE: 'false'
      MAIL_TYPE: ''
      MAIL_DEFAULT_SEND_FROM: 'YOUR EMAIL FROM (eg: no-reply <no-reply@dify.ai>)'
      SMTP_SERVER: ''
      SMTP_PORT: 465
      SMTP_USERNAME: ''
      SMTP_PASSWORD: ''
      SMTP_USE_TLS: 'true'
      SMTP_OPPORTUNISTIC_TLS: 'false'
      RESEND_API_KEY: ''
      RESEND_API_URL: https://api.resend.com
      RELYT_HOST: db
      RELYT_PORT: 5432
      RELYT_USER: postgres
      RELYT_PASSWORD: difyai123456
      RELYT_DATABASE: postgres
      PGVECTOR_HOST: pgvector
      PGVECTOR_PORT: 5432
      PGVECTOR_USER: postgres
      PGVECTOR_PASSWORD: difyai123456
      PGVECTOR_DATABASE: dify
      NOTION_INTEGRATION_TYPE: public
      NOTION_CLIENT_SECRET: you-client-secret
      NOTION_CLIENT_ID: you-client-id
      NOTION_INTERNAL_SECRET: you-internal-secret
      INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: 1000
    depends_on:
      - db
      - redis
    volumes:
      - ./volumes/app/storage:/app/api/storage
    networks:
      - ssrf_proxy_network
      - default

# -----------------------------------------------------------
  web:
    image: langgenius/dify-web:0.6.9
    restart: always
    environment:
      CONSOLE_API_URL: ''
      APP_API_URL: ''
      SENTRY_DSN: ''
    networks:
      - ssrf_proxy_network # 修正: defaultネットワークにssrf_proxy_networkを追加
      - default

# -----------------------------------------------------------
  db:
    image: postgres:15-alpine
    restart: always
    environment:
      PGUSER: postgres
      POSTGRES_PASSWORD: difyai123456
      POSTGRES_DB: dify
      PGDATA: /var/lib/postgresql/data/pgdata
    volumes:
      - postgres_data:/var/lib/postgresql/data # 修正: ./volumes/db/dataからpostgres_dataに変更
    healthcheck:
      test: [ "CMD", "pg_isready" ]
      interval: 1s
      timeout: 3s
      retries: 30
    networks:
      - default

# -----------------------------------------------------------
  redis:
    image: redis:6-alpine
    restart: always
    volumes:
      # - redis_data:/data # 修正: ./volumes/redis/dataからredis_dataに変更
      - ./volumes/redis/data:/data
    command: redis-server --requirepass difyai123456
    healthcheck:
      test: [ "CMD", "redis-cli", "ping" ]
    networks:
      - default

# -----------------------------------------------------------
  weaviate:
    image: semitechnologies/weaviate:1.19.0
    restart: always
    volumes:
      - ./volumes/weaviate:/var/lib/weaviate
    environment:
      QUERY_DEFAULTS_LIMIT: 25
      AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: 'false'
      PERSISTENCE_DATA_PATH: '/var/lib/weaviate'
      DEFAULT_VECTORIZER_MODULE: 'none'
      CLUSTER_HOSTNAME: 'node1'
      AUTHENTICATION_APIKEY_ENABLED: 'true'
      AUTHENTICATION_APIKEY_ALLOWED_KEYS: 'WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih'
      AUTHENTICATION_APIKEY_USERS: 'hello@dify.ai'
      AUTHORIZATION_ADMINLIST_ENABLED: 'true'
      AUTHORIZATION_ADMINLIST_USERS: 'hello@dify.ai'
    networks:
      - default

# -----------------------------------------------------------
  sandbox:
    image: langgenius/dify-sandbox:0.2.0
    restart: always
    environment:
      API_KEY: dify-sandbox
      GIN_MODE: 'release'
      WORKER_TIMEOUT: 15
      ENABLE_NETWORK: 'true'
      HTTP_PROXY: 'http://ssrf_proxy:3128'
      HTTPS_PROXY: 'http://ssrf_proxy:3128'
    volumes:
      - ./volumes/sandbox/dependencies:/dependencies
    networks:
      - ssrf_proxy_network

# -----------------------------------------------------------
  ssrf_proxy:
    image: ubuntu/squid:latest
    restart: always
    volumes:
      - ./volumes/ssrf_proxy/squid.conf:/etc/squid/squid.conf
    networks:
      - ssrf_proxy_network
      - default

# -----------------------------------------------------------
  nginx:
    image: nginx:latest
    restart: always
    volumes:
      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
      - ./nginx/proxy.conf:/etc/nginx/proxy.conf
      - ./nginx/conf.d:/etc/nginx/conf.d
    depends_on:
      - api
      - web
    ports:
      - "8080:80"
    networks:
      - default # 修正: defaultネットワークを追加

# ===========================================================
networks:
  ssrf_proxy_network:
    driver: bridge
    internal: true
  default: # 修正: defaultネットワークを追加
    driver: bridge

# ===========================================================
volumes:
  postgres_data: # 追加: 新しいボリュームを定義
  # redis_data: # 追加: 新しいボリュームを定義  ```

services:
  api:
    image: langgenius/dify-api:0.6.10
    restart: always
    environment:
      MODE: api
      LOG_LEVEL: INFO
      SECRET_KEY: sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U
      CONSOLE_WEB_URL: 'http://161.93.***.***:8080' #追加（PCの静的IPを入れる）
      INIT_PASSWORD: ''
      CONSOLE_API_URL: 'http://161.93.***.***:8080' #追加（PCの静的IPを入れる）
      SERVICE_API_URL: 'http://161.93.***.***:8080' #追加（PCの静的IPを入れる）
      APP_WEB_URL: 'http://161.93.***.***:8080' #追加（PCの静的IPを入れる）
      FILES_URL: 'http://161.93.***.***:8080' #追加（PCの静的IPを入れる）
      FILES_ACCESS_TIMEOUT: 300
      MIGRATION_ENABLED: 'true'
      DB_USERNAME: postgres
      DB_PASSWORD: difyai123456
      DB_HOST: db
      DB_PORT: 5432
      DB_DATABASE: dify
      REDIS_HOST: redis
      REDIS_PORT: 6379
      REDIS_USERNAME: ''
      REDIS_PASSWORD: difyai123456
      REDIS_USE_SSL: 'false'
      REDIS_DB: 0
      CELERY_BROKER_URL: redis://:difyai123456@redis:6379/1
      WEB_API_CORS_ALLOW_ORIGINS: '*'
      CONSOLE_CORS_ALLOW_ORIGINS: '*'
      STORAGE_TYPE: local
      STORAGE_LOCAL_PATH: storage
      S3_ENDPOINT: 'https://xxx.r2.cloudflarestorage.com'
      S3_BUCKET_NAME: 'difyai'
      S3_ACCESS_KEY: 'ak-difyai'
      S3_SECRET_KEY: 'sk-difyai'
      S3_REGION: 'us-east-1'
      AZURE_BLOB_ACCOUNT_NAME: 'difyai'
      AZURE_BLOB_ACCOUNT_KEY: 'difyai'
      AZURE_BLOB_CONTAINER_NAME: 'difyai-container'
      AZURE_BLOB_ACCOUNT_URL: 'https://<your_account_name>.blob.core.windows.net'
      GOOGLE_STORAGE_BUCKET_NAME: 'yout-bucket-name'
      GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: 'your-google-service-account-json-base64-string'
      VECTOR_STORE: weaviate
      WEAVIATE_ENDPOINT: http://weaviate:8080
      WEAVIATE_API_KEY: WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
      QDRANT_URL: http://qdrant:6333
      QDRANT_API_KEY: difyai123456
      QDRANT_CLIENT_TIMEOUT: 20
      QDRANT_GRPC_ENABLED: 'false'
      QDRANT_GRPC_PORT: 6334
      MILVUS_HOST: 127.0.0.1
      MILVUS_PORT: 19530
      MILVUS_USER: root
      MILVUS_PASSWORD: Milvus
      MILVUS_SECURE: 'false'
      RELYT_HOST: db
      RELYT_PORT: 5432
      RELYT_USER: postgres
      RELYT_PASSWORD: difyai123456
      RELYT_DATABASE: postgres
      PGVECTOR_HOST: pgvector
      PGVECTOR_PORT: 5432
      PGVECTOR_USER: postgres
      PGVECTOR_PASSWORD: difyai123456
      PGVECTOR_DATABASE: dify
      MAIL_TYPE: ''
      MAIL_DEFAULT_SEND_FROM: 'YOUR EMAIL FROM (eg: no-reply <no-reply@dify.ai>)'
      SMTP_SERVER: ''
      SMTP_PORT: 465
      SMTP_USERNAME: ''
      SMTP_PASSWORD: ''
      SMTP_USE_TLS: 'true'
      SMTP_OPPORTUNISTIC_TLS: 'false'
      RESEND_API_KEY: ''
      RESEND_API_URL: https://api.resend.com
      SENTRY_DSN: ''
      SENTRY_TRACES_SAMPLE_RATE: 1.0
      SENTRY_PROFILES_SAMPLE_RATE: 1.0
      NOTION_INTEGRATION_TYPE: public
      NOTION_CLIENT_SECRET: you-client-secret
      NOTION_CLIENT_ID: you-client-id
      NOTION_INTERNAL_SECRET: you-internal-secret
      CODE_EXECUTION_ENDPOINT: "http://sandbox:8194"
      CODE_EXECUTION_API_KEY: dify-sandbox
      CODE_MAX_NUMBER: 9223372036854775807
      CODE_MIN_NUMBER: -9223372036854775808
      CODE_MAX_STRING_LENGTH: 80000
      TEMPLATE_TRANSFORM_MAX_LENGTH: 80000
      CODE_MAX_STRING_ARRAY_LENGTH: 30
      CODE_MAX_OBJECT_ARRAY_LENGTH: 30
      CODE_MAX_NUMBER_ARRAY_LENGTH: 1000
      SSRF_PROXY_HTTP_URL: 'http://ssrf_proxy:3128'
      SSRF_PROXY_HTTPS_URL: 'http://ssrf_proxy:3128'
      INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: 1000
    depends_on:
      - db
      - redis
    volumes:
      - ./volumes/app/storage:/app/api/storage
    networks:
      - ssrf_proxy_network
      - default

  worker:
    image: langgenius/dify-api:0.6.10
    restart: always
    environment:
      CONSOLE_WEB_URL: ''
      MODE: worker
      LOG_LEVEL: INFO
      SECRET_KEY: sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U
      DB_USERNAME: postgres
      DB_PASSWORD: difyai123456
      DB_HOST: db
      DB_PORT: 5432
      DB_DATABASE: dify
      REDIS_HOST: redis
      REDIS_PORT: 6379
      REDIS_USERNAME: ''
      REDIS_PASSWORD: difyai123456
      REDIS_DB: 0
      REDIS_USE_SSL: 'false'
      CELERY_BROKER_URL: redis://:difyai123456@redis:6379/1
      STORAGE_TYPE: local
      STORAGE_LOCAL_PATH: storage
      S3_ENDPOINT: 'https://xxx.r2.cloudflarestorage.com'
      S3_BUCKET_NAME: 'difyai'
      S3_ACCESS_KEY: 'ak-difyai'
      S3_SECRET_KEY: 'sk-difyai'
      S3_REGION: 'us-east-1'
      AZURE_BLOB_ACCOUNT_NAME: 'difyai'
      AZURE_BLOB_ACCOUNT_KEY: 'difyai'
      AZURE_BLOB_CONTAINER_NAME: 'difyai-container'
      AZURE_BLOB_ACCOUNT_URL: 'https://<your_account_name>.blob.core.windows.net'
      GOOGLE_STORAGE_BUCKET_NAME: 'yout-bucket-name'
      GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: 'your-google-service-account-json-base64-string'
      VECTOR_STORE: weaviate
      WEAVIATE_ENDPOINT: http://weaviate:8080
      WEAVIATE_API_KEY: WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
      QDRANT_URL: http://qdrant:6333
      QDRANT_API_KEY: difyai123456
      QDRANT_CLIENT_TIMEOUT: 20
      QDRANT_GRPC_ENABLED: 'false'
      QDRANT_GRPC_PORT: 6334
      MILVUS_HOST: 127.0.0.1
      MILVUS_PORT: 19530
      MILVUS_USER: root
      MILVUS_PASSWORD: Milvus
      MILVUS_SECURE: 'false'
      MAIL_TYPE: ''
      MAIL_DEFAULT_SEND_FROM: 'YOUR EMAIL FROM (eg: no-reply <no-reply@dify.ai>)'
      SMTP_SERVER: ''
      SMTP_PORT: 465
      SMTP_USERNAME: ''
      SMTP_PASSWORD: ''
      SMTP_USE_TLS: 'true'
      SMTP_OPPORTUNISTIC_TLS: 'false'
      RESEND_API_KEY: ''
      RESEND_API_URL: https://api.resend.com
      RELYT_HOST: db
      RELYT_PORT: 5432
      RELYT_USER: postgres
      RELYT_PASSWORD: difyai123456
      RELYT_DATABASE: postgres
      PGVECTOR_HOST: pgvector
      PGVECTOR_PORT: 5432
      PGVECTOR_USER: postgres
      PGVECTOR_PASSWORD: difyai123456
      PGVECTOR_DATABASE: dify
      NOTION_INTEGRATION_TYPE: public
      NOTION_CLIENT_SECRET: you-client-secret
      NOTION_CLIENT_ID: you-client-id
      NOTION_INTERNAL_SECRET: you-internal-secret
      INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: 1000
    depends_on:
      - db
      - redis
    volumes:
      - ./volumes/app/storage:/app/api/storage
    networks:
      - ssrf_proxy_network
      - default

  web:
    image: langgenius/dify-web:0.6.10
    restart: always
    environment:
      CONSOLE_API_URL: ''
      APP_API_URL: ''
      SENTRY_DSN: ''
    networks: #追加
      - ssrf_proxy_network #追加
      - default #追加


  db:
    image: postgres:15-alpine
    restart: always
    environment:
      PGUSER: postgres
      POSTGRES_PASSWORD: difyai123456
      POSTGRES_DB: dify
      PGDATA: /var/lib/postgresql/data/pgdata
    volumes:
      #- ./volumes/db/data:/var/lib/postgresql/data
      - postgres_data:/var/lib/postgresql/data #変更
    healthcheck:
      test: [ "CMD", "pg_isready" ]
      interval: 1s
      timeout: 3s
      retries: 30
    networks: #追加
      - default #追加

  redis:
    image: redis:6-alpine
    restart: always
    volumes:
      - ./volumes/redis/data:/data
    command: redis-server --requirepass difyai123456
    healthcheck:
      test: [ "CMD", "redis-cli", "ping" ]
    networks: #追加
      - default #追加

  weaviate:
    image: semitechnologies/weaviate:1.19.0
    restart: always
    volumes:
      - ./volumes/weaviate:/var/lib/weaviate
    environment:
      QUERY_DEFAULTS_LIMIT: 25
      AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: 'false'
      PERSISTENCE_DATA_PATH: '/var/lib/weaviate'
      DEFAULT_VECTORIZER_MODULE: 'none'
      CLUSTER_HOSTNAME: 'node1'
      AUTHENTICATION_APIKEY_ENABLED: 'true'
      AUTHENTICATION_APIKEY_ALLOWED_KEYS: 'WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih'
      AUTHENTICATION_APIKEY_USERS: 'hello@dify.ai'
      AUTHORIZATION_ADMINLIST_ENABLED: 'true'
      AUTHORIZATION_ADMINLIST_USERS: 'hello@dify.ai'
    networks: #追加
      - default #追加

  sandbox:
    image: langgenius/dify-sandbox:0.2.1
    restart: always
    environment:
      API_KEY: dify-sandbox
      GIN_MODE: 'release'
      WORKER_TIMEOUT: 15
      ENABLE_NETWORK: 'true'
      HTTP_PROXY: 'http://ssrf_proxy:3128'
      HTTPS_PROXY: 'http://ssrf_proxy:3128'
      SANDBOX_PORT: 8194
    volumes:
      - ./volumes/sandbox/dependencies:/dependencies
    networks:
      - ssrf_proxy_network

  ssrf_proxy:
    image: ubuntu/squid:latest
    restart: always
    volumes:
      - ./volumes/ssrf_proxy/squid.conf:/etc/squid/squid.conf
    networks:
      - ssrf_proxy_network
      - default

  nginx:
    image: nginx:latest
    restart: always
    volumes:
      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
      - ./nginx/proxy.conf:/etc/nginx/proxy.conf
      - ./nginx/conf.d:/etc/nginx/conf.d
    depends_on:
      - api
      - web
    ports:
      - "8080:80" #80:80から変更
    networks: #追加
      - default #追加

networks:
  ssrf_proxy_network:
    driver: bridge
    internal: true
  default: #追加
    driver: bridge 

volumes: #追加
  postgres_data: #追加

# INSTRUCTIONS
- Translate only the Japanese parts of the "USER INPUT" sentences into English.
- Output only the translated text.
- Do not include "Here is the translation of the Japanese part: " at the beginning of the output text.
- Ensure the translation captures the full meaning of the Japanese text without adding unnecessary context. 


# GOOD SAMPLE
- USER INPUT: "moonshot meanってどういう意味?"
- YOUR OUTPUT: "What does moonshot mean?"
 

# BAD SAMPLE
- USER INPUT: "テニスのルールを教えて"
- YOUR OUTPUT: "Translation of Japanese text to English\nThe translation of the Japanese text is as follows:\n\n\"Teaching tennis rules\"
 

# USER INPUT
{{#context#}}

以下の文章を、忠実に日本語に翻訳して出力してください。
（ただし以下は日本語に変換しないこと：固有名詞、技術用語、プログラミングコード、製品名やブランド名、特定の業界用語や略語（例えば、IT業界の「API」や「SQL」など）、ファイル名やディレクトリ名、設定や構成項目の名前、ログメッセージやエラーメッセージ、数値や特定の単位（例えば、「GB」や「Hz」など）、メールアドレスやURL ）

# 翻訳する文章  
{{#context#}}

version: '3'
services:
  api:
    image: langgenius/dify-api:0.6.10
    restart: always
    environment:
      MODE: api
      LOG_LEVEL: INFO
      SECRET_KEY: sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U
      CONSOLE_WEB_URL: 'http://（DifyをホストするPCの静的IPを記載）:8080' #追加
      INIT_PASSWORD: ''
      CONSOLE_API_URL: 'http://（DifyをホストするPCの静的IPを記載）:8080' #追加
      SERVICE_API_URL: 'http://（DifyをホストするPCの静的IPを記載）:8080' #追加
      APP_WEB_URL: 'http://（DifyをホストするPCの静的IPを記載）:8080' #追加
      FILES_URL: 'http://（DifyをホストするPCの静的IPを記載）:8080' #追加
      FILES_ACCESS_TIMEOUT: 300
      MIGRATION_ENABLED: 'true'
      DB_USERNAME: postgres
      DB_PASSWORD: difyai123456
      DB_HOST: db
      DB_PORT: 5432
      DB_DATABASE: dify
      REDIS_HOST: redis
      REDIS_PORT: 6379
      REDIS_USERNAME: ''
      REDIS_PASSWORD: difyai123456
      REDIS_USE_SSL: 'false'
      REDIS_DB: 0
      CELERY_BROKER_URL: redis://:difyai123456@redis:6379/1
      WEB_API_CORS_ALLOW_ORIGINS: '*'
      CONSOLE_CORS_ALLOW_ORIGINS: '*'
      STORAGE_TYPE: local
      STORAGE_LOCAL_PATH: storage
      S3_ENDPOINT: 'https://xxx.r2.cloudflarestorage.com'
      S3_BUCKET_NAME: 'difyai'
      S3_ACCESS_KEY: 'ak-difyai'
      S3_SECRET_KEY: 'sk-difyai'
      S3_REGION: 'us-east-1'
      AZURE_BLOB_ACCOUNT_NAME: 'difyai'
      AZURE_BLOB_ACCOUNT_KEY: 'difyai'
      AZURE_BLOB_CONTAINER_NAME: 'difyai-container'
      AZURE_BLOB_ACCOUNT_URL: 'https://<your_account_name>.blob.core.windows.net'
      GOOGLE_STORAGE_BUCKET_NAME: 'yout-bucket-name'
      GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: 'your-google-service-account-json-base64-string'
      VECTOR_STORE: weaviate
      WEAVIATE_ENDPOINT: http://weaviate:8080
      WEAVIATE_API_KEY: WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
      QDRANT_URL: http://qdrant:6333
      QDRANT_API_KEY: difyai123456
      QDRANT_CLIENT_TIMEOUT: 20
      QDRANT_GRPC_ENABLED: 'false'
      QDRANT_GRPC_PORT: 6334
      MILVUS_HOST: 127.0.0.1
      MILVUS_PORT: 19530
      MILVUS_USER: root
      MILVUS_PASSWORD: Milvus
      MILVUS_SECURE: 'false'
      RELYT_HOST: db
      RELYT_PORT: 5432
      RELYT_USER: postgres
      RELYT_PASSWORD: difyai123456
      RELYT_DATABASE: postgres
      PGVECTOR_HOST: pgvector
      PGVECTOR_PORT: 5432
      PGVECTOR_USER: postgres
      PGVECTOR_PASSWORD: difyai123456
      PGVECTOR_DATABASE: dify
      MAIL_TYPE: ''
      MAIL_DEFAULT_SEND_FROM: 'YOUR EMAIL FROM (eg: no-reply <no-reply@dify.ai>)'
      SMTP_SERVER: ''
      SMTP_PORT: 465
      SMTP_USERNAME: ''
      SMTP_PASSWORD: ''
      SMTP_USE_TLS: 'true'
      SMTP_OPPORTUNISTIC_TLS: 'false'
      RESEND_API_KEY: ''
      RESEND_API_URL: https://api.resend.com
      SENTRY_DSN: ''
      SENTRY_TRACES_SAMPLE_RATE: 1.0
      SENTRY_PROFILES_SAMPLE_RATE: 1.0
      NOTION_INTEGRATION_TYPE: public
      NOTION_CLIENT_SECRET: you-client-secret
      NOTION_CLIENT_ID: you-client-id
      NOTION_INTERNAL_SECRET: you-internal-secret
      CODE_EXECUTION_ENDPOINT: "http://sandbox:8194"
      CODE_EXECUTION_API_KEY: dify-sandbox
      CODE_MAX_NUMBER: 9223372036854775807
      CODE_MIN_NUMBER: -9223372036854775808
      CODE_MAX_STRING_LENGTH: 80000
      TEMPLATE_TRANSFORM_MAX_LENGTH: 80000
      CODE_MAX_STRING_ARRAY_LENGTH: 30
      CODE_MAX_OBJECT_ARRAY_LENGTH: 30
      CODE_MAX_NUMBER_ARRAY_LENGTH: 1000
      SSRF_PROXY_HTTP_URL: 'http://ssrf_proxy:3128'
      SSRF_PROXY_HTTPS_URL: 'http://ssrf_proxy:3128'
      INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: 1000
    depends_on:
      - db
      - redis
    volumes:
      - ./volumes/app/storage:/app/api/storage
    networks:
      - ssrf_proxy_network
      - default

  worker:
    image: langgenius/dify-api:0.6.10
    restart: always
    environment:
      CONSOLE_WEB_URL: ''
      MODE: worker
      LOG_LEVEL: INFO
      SECRET_KEY: sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U
      DB_USERNAME: postgres
      DB_PASSWORD: difyai123456
      DB_HOST: db
      DB_PORT: 5432
      DB_DATABASE: dify
      REDIS_HOST: redis
      REDIS_PORT: 6379
      REDIS_USERNAME: ''
      REDIS_PASSWORD: difyai123456
      REDIS_DB: 0
      REDIS_USE_SSL: 'false'
      CELERY_BROKER_URL: redis://:difyai123456@redis:6379/1
      STORAGE_TYPE: local
      STORAGE_LOCAL_PATH: storage
      S3_ENDPOINT: 'https://xxx.r2.cloudflarestorage.com'
      S3_BUCKET_NAME: 'difyai'
      S3_ACCESS_KEY: 'ak-difyai'
      S3_SECRET_KEY: 'sk-difyai'
      S3_REGION: 'us-east-1'
      AZURE_BLOB_ACCOUNT_NAME: 'difyai'
      AZURE_BLOB_ACCOUNT_KEY: 'difyai'
      AZURE_BLOB_CONTAINER_NAME: 'difyai-container'
      AZURE_BLOB_ACCOUNT_URL: 'https://<your_account_name>.blob.core.windows.net'
      GOOGLE_STORAGE_BUCKET_NAME: 'yout-bucket-name'
      GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON_BASE64: 'your-google-service-account-json-base64-string'
      VECTOR_STORE: weaviate
      WEAVIATE_ENDPOINT: http://weaviate:8080
      WEAVIATE_API_KEY: WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih
      QDRANT_URL: http://qdrant:6333
      QDRANT_API_KEY: difyai123456
      QDRANT_CLIENT_TIMEOUT: 20
      QDRANT_GRPC_ENABLED: 'false'
      QDRANT_GRPC_PORT: 6334
      MILVUS_HOST: 127.0.0.1
      MILVUS_PORT: 19530
      MILVUS_USER: root
      MILVUS_PASSWORD: Milvus
      MILVUS_SECURE: 'false'
      MAIL_TYPE: ''
      MAIL_DEFAULT_SEND_FROM: 'YOUR EMAIL FROM (eg: no-reply <no-reply@dify.ai>)'
      SMTP_SERVER: ''
      SMTP_PORT: 465
      SMTP_USERNAME: ''
      SMTP_PASSWORD: ''
      SMTP_USE_TLS: 'true'
      SMTP_OPPORTUNISTIC_TLS: 'false'
      RESEND_API_KEY: ''
      RESEND_API_URL: https://api.resend.com
      RELYT_HOST: db
      RELYT_PORT: 5432
      RELYT_USER: postgres
      RELYT_PASSWORD: difyai123456
      RELYT_DATABASE: postgres
      PGVECTOR_HOST: pgvector
      PGVECTOR_PORT: 5432
      PGVECTOR_USER: postgres
      PGVECTOR_PASSWORD: difyai123456
      PGVECTOR_DATABASE: dify
      NOTION_INTEGRATION_TYPE: public
      NOTION_CLIENT_SECRET: you-client-secret
      NOTION_CLIENT_ID: you-client-id
      NOTION_INTERNAL_SECRET: you-internal-secret
      INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH: 1000
    depends_on:
      - db
      - redis
    volumes:
      - ./volumes/app/storage:/app/api/storage
    networks:
      - ssrf_proxy_network
      - default

  web:
    image: langgenius/dify-web:0.6.10
    restart: always
    environment:
      CONSOLE_API_URL: ''
      APP_API_URL: ''
      SENTRY_DSN: ''
    networks: #追加
      - ssrf_proxy_network #追加
      - default #追加


  db:
    image: postgres:15-alpine
    restart: always
    environment:
      PGUSER: postgres
      POSTGRES_PASSWORD: difyai123456
      POSTGRES_DB: dify
      PGDATA: /var/lib/postgresql/data/pgdata
    volumes:
      #- ./volumes/db/data:/var/lib/postgresql/data
      - postgres_data:/var/lib/postgresql/data #変更
    healthcheck:
      test: [ "CMD", "pg_isready" ]
      interval: 1s
      timeout: 3s
      retries: 30
    networks: #追加
      - default #追加

  redis:
    image: redis:6-alpine
    restart: always
    volumes:
      - ./volumes/redis/data:/data
    command: redis-server --requirepass difyai123456
    healthcheck:
      test: [ "CMD", "redis-cli", "ping" ]
    networks: #追加
      - default #追加

  weaviate:
    image: semitechnologies/weaviate:1.19.0
    restart: always
    volumes:
      - ./volumes/weaviate:/var/lib/weaviate
    environment:
      QUERY_DEFAULTS_LIMIT: 25
      AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: 'false'
      PERSISTENCE_DATA_PATH: '/var/lib/weaviate'
      DEFAULT_VECTORIZER_MODULE: 'none'
      CLUSTER_HOSTNAME: 'node1'
      AUTHENTICATION_APIKEY_ENABLED: 'true'
      AUTHENTICATION_APIKEY_ALLOWED_KEYS: 'WVF5YThaHlkYwhGUSmCRgsX3tD5ngdN8pkih'
      AUTHENTICATION_APIKEY_USERS: 'hello@dify.ai'
      AUTHORIZATION_ADMINLIST_ENABLED: 'true'
      AUTHORIZATION_ADMINLIST_USERS: 'hello@dify.ai'
    networks: #追加
      - default #追加

  sandbox:
    image: langgenius/dify-sandbox:0.2.1
    restart: always
    environment:
      API_KEY: dify-sandbox
      GIN_MODE: 'release'
      WORKER_TIMEOUT: 15
      ENABLE_NETWORK: 'true'
      HTTP_PROXY: 'http://ssrf_proxy:3128'
      HTTPS_PROXY: 'http://ssrf_proxy:3128'
      SANDBOX_PORT: 8194
    volumes:
      - ./volumes/sandbox/dependencies:/dependencies
    networks:
      - ssrf_proxy_network

  ssrf_proxy:
    image: ubuntu/squid:latest
    restart: always
    volumes:
      - ./volumes/ssrf_proxy/squid.conf:/etc/squid/squid.conf
    networks:
      - ssrf_proxy_network
      - default

  nginx:
    image: nginx:latest
    restart: always
    volumes:
      - ./nginx/nginx.conf:/etc/nginx/nginx.conf
      - ./nginx/proxy.conf:/etc/nginx/proxy.conf
      - ./nginx/conf.d:/etc/nginx/conf.d
    depends_on:
      - api
      - web
    ports:
      - "8080:80" #80:80から変更
    networks: #追加
      - default #追加

# ----------------------------------------
# 240609: Ollamaを追加
# ----------------------------------------
  ollama: #追加
    image: ollama/ollama
    restart: always
    container_name: ollama
    ports:
      - "11434:11434"
    volumes:
      - ollama:/root/.ollama

networks:
  ssrf_proxy_network:
    driver: bridge
    internal: true
  default: #追加
    driver: bridge 

volumes: #追加
  postgres_data: #追加
  ollama: #追加

import requests
import json

url = 'https://api.dify.ai/v1/chat-messages'
headers = {
    'Authorization': 'Bearer ENTER-YOUR-SECRET-KEY',
    'Content-Type': 'application/json',
}
data = {
    "inputs": {},
    "query": "eh",
    "response_mode": "streaming",
    "conversation_id": "1c7e55fb-1ba2-4e10-81b5-30addcea2276",
    "user": "abc-123"
}

response = requests.post(url, headers=headers, data=json.dumps(data))

print(response.json())

curl -X POST 'http://161.93.110.41:8080/v1/chat-messages' \
--header 'Authorization: Bearer {api_key}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "inputs": {},
    "query": "What are the specs of the iPhone 13 Pro Max?",
    "response_mode": "streaming",
    "conversation_id": "",
    "user": "abc-123",
    "files": [
      {
        "type": "image",
        "transfer_method": "remote_url",
        "url": "https://cloud.dify.ai/logo/logo-site.png"
      }
    ]
}'

# ===== Required ENVS ======
NUM_WORKERS_PER_QUEUE=8 
PORT=3002
HOST=0.0.0.0

# 変更前
# REDIS_URL=redis://localhost:6379
# 変更後
REDIS_URL=redis://redis:6379

PLAYWRIGHT_MICROSERVICE_URL=http://playwright-service:3000/html

## To turn on DB authentication, you need to set up supabase.
# trueから変更
USE_DB_AUTHENTICATION=false

# ===== Optional ENVS ======

# Supabase Setup (used to support DB authentication, advanced logging, etc.)
# 変更後
SUPABASE_ANON_TOKEN=dummy_token 
SUPABASE_URL=http://dummy_url
SUPABASE_SERVICE_TOKEN=dummy_service_token


# Other Optionals
# 変更前
# TEST_API_KEY= # use if you've set up authentication and want to test with a real API key
# 変更後
TEST_API_KEY=fc-test

RATE_LIMIT_TEST_API_KEY_SCRAPE= # set if you'd like to test the scraping rate limit
RATE_LIMIT_TEST_API_KEY_CRAWL= # set if you'd like to test the crawling rate limit
SCRAPING_BEE_API_KEY= #Set if you'd like to use scraping Be to handle JS blocking
OPENAI_API_KEY= # add for LLM dependednt features (image alt generation, etc.)
BULL_AUTH_KEY= @
LOGTAIL_KEY= # Use if you're configuring basic logging with logtail
LLAMAPARSE_API_KEY= #Set if you have a llamaparse key you'd like to use to parse pdfs
SERPER_API_KEY= #Set if you have a serper key you'd like to use as a search api
SLACK_WEBHOOK_URL= # set if you'd like to send slack server health status messages
POSTHOG_API_KEY= # set if you'd like to send posthog events like job logs
POSTHOG_HOST= # set if you'd like to send posthog events like job logs

STRIPE_PRICE_ID_STANDARD=
STRIPE_PRICE_ID_SCALE=
STRIPE_PRICE_ID_STARTER=
STRIPE_PRICE_ID_HOBBY=
STRIPE_PRICE_ID_HOBBY_YEARLY=
STRIPE_PRICE_ID_STANDARD_NEW=
STRIPE_PRICE_ID_STANDARD_NEW_YEARLY=
STRIPE_PRICE_ID_GROWTH=
STRIPE_PRICE_ID_GROWTH_YEARLY=

HYPERDX_API_KEY=
HDX_NODE_BETA_MODE=1

FIRE_ENGINE_BETA_URL= # set if you'd like to use the fire engine closed beta

# Proxy Settings for Playwright (Alternative you can can use a proxy service like oxylabs, which rotates IPs for you on every request)
PROXY_SERVER=
PROXY_USERNAME=
PROXY_PASSWORD=
# set if you'd like to block media requests to save proxy bandwidth
BLOCK_MEDIA=

# Set this to the URL of your webhook when using the self-hosted version of FireCrawl
SELF_HOSTED_WEBHOOK_URL=

# Resend API Key for transactional emails
RESEND_API_KEY=

services:
  langfuse-server:
    image: langfuse/langfuse:2
    depends_on:
      db:
        condition: service_healthy
    ports:
      - "3000:3000"
    environment:
      - DATABASE_URL=postgresql://postgres:postgres@db:5432/postgres
      - NEXTAUTH_SECRET=mysecret
      - SALT=mysalt
      # 変更前
      # - NEXTAUTH_URL=http://localhost:3000
      # 変更後(ホストするPCのIPアドレスに書き換える)
      - NEXTAUTH_URL=http://161.93.***.**:3000
      - TELEMETRY_ENABLED=${TELEMETRY_ENABLED:-true}
      - LANGFUSE_ENABLE_EXPERIMENTAL_FEATURES=${LANGFUSE_ENABLE_EXPERIMENTAL_FEATURES:-false}

  db:
    image: postgres
    restart: always
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U postgres"]
      interval: 3s
      timeout: 3s
      retries: 10
    environment:
      - POSTGRES_USER=postgres
      - POSTGRES_PASSWORD=postgres
      - POSTGRES_DB=postgres
    ports:
      - 5432:5432
    volumes:
      - database_data:/var/lib/postgresql/data

volumes:
  database_data:
    driver: local

import requests
import json

# -------------------------------
# ユーザー設定
api_key = "dataset-**********" # APIキー
endpoint = "http://161.93.***:**:8880/v1/datasets?page=1&limit=500" # エンドポイント
# -------------------------------

headers = {"Authorization": f"Bearer {api_key}"}

# GETリクエストを送信
response = requests.get(endpoint, headers=headers)
response = response.json() # JSON形式に変換

# dataから、ナレッジのnameとidだけを取得して表示
for knowledge in response["data"]:
    print("="*100)
    print(f"ナレッジ名: {knowledge['name']}")
    print(f"データセットID: {knowledge['id']}")

import requests
import json

# -------------------------------
# ユーザー設定
api_key = "dataset-**********"
endpoint = "http://161.93.***:**:8880/v1/datasets"
new_knowledge_name = "API-Knowledge 5" # 新しいナレッジの名前
# -------------------------------

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}
payload = {"name": new_knowledge_name} 

# POSTリクエストを送信して新しいナレッジを作成
response = requests.post(endpoint, headers=headers, data=json.dumps(payload))
response = response.json()

# dataにstatusコードが含まれていないときだけ実行する
if "status" not in response:
    # dataから、ナレッジのnameとidだけを取得して表示
    print("="*100)
    print(f"Name: {response['name']}")
    print(f"ID: {response['id']}")
else:
    # data全体を見やすく表示
    print(json.dumps(response, indent=4))

import requests
import json

# -------------------------------
# ユーザー設定
api_key = "dataset-**********" # APIキー
dataset_id = "******************" # 削除するナレッジのID
# -------------------------------

endpoint = f"http://161.93.***:**:8880/v1/datasets/{dataset_id}"
headers = {"Authorization": f"Bearer {api_key}"}

# DELETEリクエストを送信してナレッジを削除
response = requests.delete(endpoint, headers=headers)

# レスポンスを表示
if response.status_code == 204:
    print("Knowledge deleted successfully.")
else:
    print(f"Failed to delete knowledge. Status code: {response.status_code}")

import requests
import json

# -------------------------------
# ユーザー設定
api_key = "dataset-**********" # APIキー
dataset_id = "******************" # ドキュメントを追加するナレッジのID
file_path =  r"ファイルパス" # ドキュメントとして追加するファイルのパス
# -------------------------------


endpoint = f"http://161.93.***:**:8880/v1/datasets/{dataset_id}/document/create_by_file"
headers = {"Authorization": f"Bearer {api_key}"}

# 処理方法
# 自動埋め込みならこれだけ
process_rule = {"mode": "automatic"}
# カスタム埋め込みならこちらを使う
# process_rule = {
#     "mode": "custom"
#     "rules": {
#         "pre_processing_rules": [
#             {"id": "remove_extra_spaces", "enabled": True}, # 余分なスペースを削除
#             {"id": "remove_urls_emails", "enabled": False} # URLとメールアドレスを削除
#         ],
#         "segmentation": {"separator": "###", "max_tokens": 1000} # セグメントの設定
#     }
# }
data = {
    "indexing_technique": "high_quality", # インデックス技術
    "process_rule": process_rule # プロセスルール
}
files = {
    'file': open(file_path, 'rb'),
    'data': (None, json.dumps(data), 'application/json')
}

# POSTリクエストを送信して新しいドキュメントを作成
response = requests.post(endpoint, headers=headers, files=files)
response = response.json()

# 結果を見やすく表示
print(json.dumps(response, indent=4))

import requests
import json

# -------------------------------
# ユーザー設定
api_key = "dataset-**********"
dataset_id = "******************" # ドキュメントを追加するナレッジのID
document_name = "Sample Document"
document_text = """生成AIの業務利用には以下の点に注意が必要です。
まず、生成AIが提供する情報の正確性や信頼性を常に確認してください。
生成AIは誤った情報を生成する可能性があるため、重要な決定に使用する前に専門家によるレビューが必要です。
次に、データのプライバシーとセキュリティを確保するため、適切なアクセス制御とデータ保護対策を講じてください。
また、生成AIの利用が法令や規制に準拠していることを確認することも重要です。
最後に、生成AIが生成するコンテンツの著作権や倫理的側面についても注意し、適切な利用範囲を守るようにしてください。
これらのポイントを遵守することで、生成AIの業務利用が効果的かつ安全になります。
"""
# -------------------------------

# APIエンドポイントURL
endpoint = f"http://161.93.***:**:8880/v1/datasets/{dataset_id}/document/create_by_text"
headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

# POSTデータを作成
payload = {
    "name": document_name,
    "text": document_text,
    "indexing_technique": "high_quality",
    "process_rule": {"mode": "automatic"}
}

# POSTリクエストを送信して新しいドキュメントを作成
response = requests.post(endpoint, headers=headers, data=json.dumps(payload))
response = response.json()

# 結果を見やすく表示
print(json.dumps(response, indent=4))

import requests
import json

# APIキーとdataset_idを設定
api_key = "dataset-ydCFZztP4M**************"
dataset_id = "9d93bf86-0354-4211-af2**********"

headers = {"Authorization": f"Bearer {api_key}"}
url_get_documents = f"http://161.93.+++.+++:8880/v1/datasets/{dataset_id}/documents"

response_get_documents = requests.get(url_get_documents, headers=headers)

if response_get_documents.status_code == 200:
    documents = response_get_documents.json()
    # print("Documents:", documents) # そのまま出力
    # print(json.dumps(documents, indent=4)) # 見やすく表示
    # "id"と"name"だけ出力
    print("Document ID and Name")
    for d in documents["data"]:
        print(d["id"], d["name"])
else:
    print(f"Failed to retrieve documents. Status code: {response_get_documents.status_code}")

import requests

api_key = "dataset-ydCFZztP4MSgwa**********"
dataset_id = "9d93bf86-0354-4211-af20-89**********"
document_id = "****************"  # 削除するドキュメントのID

url_delete_document = f"http://161.93.+++.+++:8880/v1/datasets/{dataset_id}/documents/{document_id}"

headers = {"Authorization": f"Bearer {api_key}"}
response_delete_document = requests.delete(url_delete_document, headers=headers)

if response_delete_document.status_code == 204:
    print("Document deleted successfully.")
else:
    print(f"Failed to delete document. Status code: {response_delete_document.status_code}")

# ===== Required ENVS ======
NUM_WORKERS_PER_QUEUE=8
PORT=3002
HOST=0.0.0.0
REDIS_URL=redis://redis:6379 #for self-hosting using docker, use redis://redis:6379. For running locally, use redis://localhost:6379
REDIS_RATE_LIMIT_URL=redis://redis:6379 #for self-hosting using docker, use redis://redis:6379. For running locally, use redis://localhost:6379
PLAYWRIGHT_MICROSERVICE_URL=http://playwright-service:3000/html

## To turn on DB authentication, you need to set up supabase.
# USE_DB_AUTHENTICATION=true #オリジナル
USE_DB_AUTHENTICATION=false #変更後

# ===== Optional ENVS ======

# SearchApi key. Head to https://searchapi.com/ to get your API key
SEARCHAPI_API_KEY=
# SearchApi engine, defaults to google. Available options: google, bing, baidu, google_news, etc. Head to https://searchapi.com/ to explore more engines
SEARCHAPI_ENGINE=

# Supabase Setup (used to support DB authentication, advanced logging, etc.)
SUPABASE_ANON_TOKEN=
SUPABASE_URL=
SUPABASE_SERVICE_TOKEN=

# Other Optionals
# use if you've set up authentication and want to test with a real API key
TEST_API_KEY=fc-test #追加
# set if you'd like to test the scraping rate limit
RATE_LIMIT_TEST_API_KEY_SCRAPE=
# set if you'd like to test the crawling rate limit
RATE_LIMIT_TEST_API_KEY_CRAWL=
# set if you'd like to use scraping Be to handle JS blocking
SCRAPING_BEE_API_KEY=
# add for LLM dependednt features (image alt generation, etc.)
OPENAI_API_KEY=
BULL_AUTH_KEY=@
# set if you have a llamaparse key you'd like to use to parse pdfs
LLAMAPARSE_API_KEY=
# set if you'd like to send slack server health status messages
SLACK_WEBHOOK_URL=
# set if you'd like to send posthog events like job logs
POSTHOG_API_KEY=
# set if you'd like to send posthog events like job logs
POSTHOG_HOST=

STRIPE_PRICE_ID_STANDARD=
STRIPE_PRICE_ID_SCALE=
STRIPE_PRICE_ID_STARTER=
STRIPE_PRICE_ID_HOBBY=
STRIPE_PRICE_ID_HOBBY_YEARLY=
STRIPE_PRICE_ID_STANDARD_NEW=
STRIPE_PRICE_ID_STANDARD_NEW_YEARLY=
STRIPE_PRICE_ID_GROWTH=
STRIPE_PRICE_ID_GROWTH_YEARLY=

# set if you'd like to use the fire engine closed beta
FIRE_ENGINE_BETA_URL=

# Proxy Settings for Playwright (Alternative you can can use a proxy service like oxylabs, which rotates IPs for you on every request)
PROXY_SERVER=
PROXY_USERNAME=
PROXY_PASSWORD=
# set if you'd like to block media requests to save proxy bandwidth
BLOCK_MEDIA=

# Set this to the URL of your webhook when using the self-hosted version of FireCrawl
SELF_HOSTED_WEBHOOK_URL=

# Resend API Key for transactional emails
RESEND_API_KEY=

# LOGGING_LEVEL determines the verbosity of logs that the system will output.
# Available levels are:
# NONE - No logs will be output.
# ERROR - For logging error messages that indicate a failure in a specific operation.
# WARN - For logging potentially harmful situations that are not necessarily errors.
# INFO - For logging informational messages that highlight the progress of the application.
# DEBUG - For logging detailed information on the flow through the system, primarily used for debugging.
# TRACE - For logging more detailed information than the DEBUG level.
# Set LOGGING_LEVEL to one of the above options to control logging output.
LOGGING_LEVEL=INFO

name: firecrawl

x-common-service: &common-service
  build: apps/api
  networks:
    - backend
  extra_hosts:
    - "host.docker.internal:host-gateway"

services:
  playwright-service:
    build: apps/playwright-service
    environment:
      - PORT=3000
      - PROXY_SERVER=${PROXY_SERVER}
      - PROXY_USERNAME=${PROXY_USERNAME}
      - PROXY_PASSWORD=${PROXY_PASSWORD}
      - BLOCK_MEDIA=${BLOCK_MEDIA}
    networks:
      - backend

  api:
    <<: *common-service
    environment:
      REDIS_URL: ${REDIS_URL:-redis://redis:6379}
      REDIS_RATE_LIMIT_URL: ${REDIS_URL:-redis://redis:6379}
      PLAYWRIGHT_MICROSERVICE_URL: ${PLAYWRIGHT_MICROSERVICE_URL:-http://playwright-service:3000}
      USE_DB_AUTHENTICATION: ${USE_DB_AUTHENTICATION}
      PORT: ${PORT:-3002}
      NUM_WORKERS_PER_QUEUE: ${NUM_WORKERS_PER_QUEUE}
      OPENAI_API_KEY: ${OPENAI_API_KEY}
      OPENAI_BASE_URL: ${OPENAI_BASE_URL}
      MODEL_NAME: ${MODEL_NAME:-gpt-4o}
      SLACK_WEBHOOK_URL: ${SLACK_WEBHOOK_URL}
      LLAMAPARSE_API_KEY: ${LLAMAPARSE_API_KEY}
      LOGTAIL_KEY: ${LOGTAIL_KEY}
      BULL_AUTH_KEY: ${BULL_AUTH_KEY}
      TEST_API_KEY: ${TEST_API_KEY}
      POSTHOG_API_KEY: ${POSTHOG_API_KEY}
      POSTHOG_HOST: ${POSTHOG_HOST}
      SUPABASE_ANON_TOKEN: ${SUPABASE_ANON_TOKEN}
      SUPABASE_URL: ${SUPABASE_URL}
      SUPABASE_SERVICE_TOKEN: ${SUPABASE_SERVICE_TOKEN}
      SCRAPING_BEE_API_KEY: ${SCRAPING_BEE_API_KEY}
      HOST: ${HOST:-0.0.0.0}
      SELF_HOSTED_WEBHOOK_URL: ${SELF_HOSTED_WEBHOOK_URL}
      LOGGING_LEVEL: ${LOGGING_LEVEL}
      FLY_PROCESS_GROUP: app
    depends_on:
      - redis
      - playwright-service
    ports:
      - "3002:3002"
    command: [ "pnpm", "run", "start:production" ]

  worker:
    <<: *common-service
    environment:
      REDIS_URL: ${REDIS_URL:-redis://redis:6379}
      REDIS_RATE_LIMIT_URL: ${REDIS_URL:-redis://redis:6379}
      PLAYWRIGHT_MICROSERVICE_URL: ${PLAYWRIGHT_MICROSERVICE_URL:-http://playwright-service:3000}
      USE_DB_AUTHENTICATION: ${USE_DB_AUTHENTICATION}
      PORT: ${PORT:-3002}
      NUM_WORKERS_PER_QUEUE: ${NUM_WORKERS_PER_QUEUE}
      OPENAI_API_KEY: ${OPENAI_API_KEY}
      OPENAI_BASE_URL: ${OPENAI_BASE_URL}
      MODEL_NAME: ${MODEL_NAME:-gpt-4o}
      SLACK_WEBHOOK_URL: ${SLACK_WEBHOOK_URL}
      LLAMAPARSE_API_KEY: ${LLAMAPARSE_API_KEY}
      LOGTAIL_KEY: ${LOGTAIL_KEY}
      BULL_AUTH_KEY: ${BULL_AUTH_KEY}
      TEST_API_KEY: ${TEST_API_KEY}
      POSTHOG_API_KEY: ${POSTHOG_API_KEY}
      POSTHOG_HOST: ${POSTHOG_HOST}
      SUPABASE_ANON_TOKEN: ${SUPABASE_ANON_TOKEN}
      SUPABASE_URL: ${SUPABASE_URL}
      SUPABASE_SERVICE_TOKEN: ${SUPABASE_SERVICE_TOKEN}
      SCRAPING_BEE_API_KEY: ${SCRAPING_BEE_API_KEY}
      HOST: ${HOST:-0.0.0.0}
      SELF_HOSTED_WEBHOOK_URL: ${SELF_HOSTED_WEBHOOK_URL}
      LOGGING_LEVEL: ${LOGGING_LEVEL}
      FLY_PROCESS_GROUP: worker
    depends_on:
      - redis
      - playwright-service
      - api
    command: [ "pnpm", "run", "workers" ]

  redis:
    image: redis:alpine
    networks:
      - backend
    command: redis-server --bind 0.0.0.0

networks:
  backend:
    driver: bridge

import requests

# APIキーとベースURL
API_KEY = "++++++++++++" #アプリ毎に違う
BASE_URL = "http://161.93.+++.+++:8880/v1" #Dify環境で固定
HEADERS = {
    "Authorization": f"Bearer {API_KEY}",
    "Content-Type": "application/json"
}

# 1. チャットメッセージ送信
def send_chat_message(query, user_id, conversation_id=None, response_mode="blocking"):
    """
    Parameters:
    - query (str): ユーザー入力
    - user_id (str): ユーザーID
    - conversation_id (str, optional): 会話ID。最初の回答で返ってくる。空にすると新しい会話になる。
    - response_mode (str): "blocking" または "streaming"
    - それ以外の引数はinputsで渡す（割愛）
    """
    url = f"{BASE_URL}/chat-messages"
    payload = {
        "query": query,
        "user": user_id,
        "conversation_id": conversation_id,
        "response_mode": response_mode
    }
    return requests.post(url, json=payload, headers=HEADERS).json()

# 2. ファイルアップロード
def upload_file(file_path, user_id):
    """
    Parameters:
    - file_path (str): ファイルのパス
    - user_id (str): ユーザーID
    """
    url = f"{BASE_URL}/files/upload"
    with open(file_path, 'rb') as file:
        files = {"file": file}
        data = {"user": user_id}
        return requests.post(url, headers={"Authorization": f"Bearer {API_KEY}"}, files=files, data=data).json()

# 3. 音声認識 (Speech to Text)
def speech_to_text(file_path, user_id):
    """
    Parameters:
    - file_path (str): 音声ファイルのパス
    - user_id (str): ユーザーID
    """
    url = f"{BASE_URL}/audio-to-text"
    with open(file_path, 'rb') as audio_file:
        files = {"file": audio_file}
        data = {"user": user_id}
        return requests.post(url, headers={"Authorization": f"Bearer {API_KEY}"}, files=files, data=data).json()

# 4. 音声合成 (Text to Speech)
def text_to_audio(text, user_id, message_id=None):
    """
    Parameters:
    - text (str): 音声化するテキスト
    - user_id (str): ユーザーID
    - message_id (str, optional): Difyが生成したメッセージID（優先使用）
    """
    url = f"{BASE_URL}/text-to-audio"
    payload = {"text": text, "user": user_id, "message_id": message_id}
    response = requests.post(url, json=payload, headers=HEADERS)
    return response.content  # 音声データ

# 5. 会話履歴取得
def get_conversation_history(user_id, conversation_id, limit=20):
    """
    Parameters:
    - user_id (str): ユーザーID
    - conversation_id (str): 会話ID
    - limit (int): 最大取得件数
    """
    url = f"{BASE_URL}/messages"
    params = {"user": user_id, "conversation_id": conversation_id, "limit": limit}
    return requests.get(url, headers=HEADERS, params=params).json()

# 6. メッセージ削除
def delete_conversation(user_id, conversation_id):
    """
    Parameters:
    - user_id (str): ユーザーID
    - conversation_id (str): 削除対象の会話ID
    """
    url = f"{BASE_URL}/conversations/{conversation_id}"
    payload = {"user": user_id}
    return requests.delete(url, json=payload, headers=HEADERS).json()

# 7. 会話の名前変更
def rename_conversation(user_id, conversation_id, new_name):
    """
    Parameters:
    - user_id (str): ユーザーID
    - conversation_id (str): 対象の会話ID
    - new_name (str): 新しい名前
    """
    url = f"{BASE_URL}/conversations/{conversation_id}/name"
    payload = {"user": user_id, "name": new_name}
    return requests.post(url, json=payload, headers=HEADERS).json()

# 8. 推奨質問の取得
def get_suggested_questions(user_id, message_id):
    """
    Parameters:
    - user_id (str): ユーザーID
    - message_id (str): メッセージID
    """
    url = f"{BASE_URL}/messages/{message_id}/suggested"
    params = {"user": user_id}
    return requests.get(url, headers=HEADERS, params=params).json()

# 9. アプリ情報取得
def get_app_info(user_id):
    """
    Parameters:
    - user_id (str): ユーザーID
    """
    url = f"{BASE_URL}/parameters"
    params = {"user": user_id}
    return requests.get(url, headers=HEADERS, params=params).json()

# 10. アプリメタ情報取得
def get_meta_info(user_id):
    """
    Parameters:
    - user_id (str): ユーザーID
    """
    url = f"{BASE_URL}/meta"
    params = {"user": user_id}
    return requests.get(url, headers=HEADERS, params=params).json()

# メイン処理例
if __name__ == "__main__":
    print(send_chat_message("What is AI?", "user123"))
    print(upload_file("path/to/file.png", "user123"))
    print(speech_to_text("path/to/audio.mp3", "user123"))
    print(text_to_audio("Hello, world!", "user123"))
    print(get_conversation_history("user123", "conversation_id_here"))
    print(delete_conversation("user123", "conversation_id_here"))
    print(rename_conversation("user123", "conversation_id_here", "New Name"))
    print(get_suggested_questions("user123", "message_id_here"))
    print(get_app_info("user123"))
    print(get_meta_info("user123"))

[YYYY-MM-DDTHH:MM:SS.SSSz]ERROR - Attempted to access Supabase client when it's not configured.
[YYYY-MM-DDTHH:MM:SS.SSSz]ERROR - Error inserting scrape event: Error: Supabase client is not configured.

[YYYY-MM-DDTHH:MM:SS.SSSz]WARN - You're bypassing authentication

docker logs [コンテナ名]

# git cloneしたfirecrawlフォルダでPoserShellを起動してコンテナを停止
docker-compose down

# 現在のフォルダ状態をスタッシュ
git stash

# 最新リポジトリをダウンロード
git pull origin main

# .envサンプルファイルをコピー
cp ./apps/api/.env.example .env

# .envファイルを修正（後述）

# コンテナをビルド（時間かかる）
docker-compose build

# コンテナを起動
docker-compose up -d

# ===== Required ENVS ======
NUM_WORKERS_PER_QUEUE=8
PORT=3002
HOST=0.0.0.0
REDIS_URL=redis://redis:6379 #for self-hosting using docker, use redis://redis:6379. For running locally, use redis://localhost:6379
REDIS_RATE_LIMIT_URL=redis://redis:6379 #for self-hosting using docker, use redis://redis:6379. For running locally, use redis://localhost:6379
PLAYWRIGHT_MICROSERVICE_URL=http://playwright-service:3000/html

## To turn on DB authentication, you need to set up supabase.
USE_DB_AUTHENTICATION=false #変更 オリジナルはtrue

# ===== Optional ENVS ======

# SearchApi key. Head to https://searchapi.com/ to get your API key
SEARCHAPI_API_KEY=
# SearchApi engine, defaults to google. Available options: google, bing, baidu, google_news, etc. Head to https://searchapi.com/ to explore more engines
SEARCHAPI_ENGINE=

# Supabase Setup (used to support DB authentication, advanced logging, etc.)
SUPABASE_ANON_TOKEN=
SUPABASE_URL=
SUPABASE_SERVICE_TOKEN=

# Other Optionals
# use if you've set up authentication and want to test with a real API key
TEST_API_KEY=fc-test #テスト。オリジナルは空欄
# set if you'd like to test the scraping rate limit
RATE_LIMIT_TEST_API_KEY_SCRAPE=
# set if you'd like to test the crawling rate limit
RATE_LIMIT_TEST_API_KEY_CRAWL=
# set if you'd like to use scraping Be to handle JS blocking
SCRAPING_BEE_API_KEY=
# add for LLM dependednt features (image alt generation, etc.)
OPENAI_API_KEY=
BULL_AUTH_KEY=@
# set if you have a llamaparse key you'd like to use to parse pdfs
LLAMAPARSE_API_KEY=
# set if you'd like to send slack server health status messages
SLACK_WEBHOOK_URL=
# set if you'd like to send posthog events like job logs
POSTHOG_API_KEY=
# set if you'd like to send posthog events like job logs
POSTHOG_HOST=

STRIPE_PRICE_ID_STANDARD=
STRIPE_PRICE_ID_SCALE=
STRIPE_PRICE_ID_STARTER=
STRIPE_PRICE_ID_HOBBY=
STRIPE_PRICE_ID_HOBBY_YEARLY=
STRIPE_PRICE_ID_STANDARD_NEW=
STRIPE_PRICE_ID_STANDARD_NEW_YEARLY=
STRIPE_PRICE_ID_GROWTH=
STRIPE_PRICE_ID_GROWTH_YEARLY=

# set if you'd like to use the fire engine closed beta
FIRE_ENGINE_BETA_URL=

# Proxy Settings for Playwright (Alternative you can can use a proxy service like oxylabs, which rotates IPs for you on every request)
PROXY_SERVER=
PROXY_USERNAME=
PROXY_PASSWORD=
# set if you'd like to block media requests to save proxy bandwidth
BLOCK_MEDIA=

# Set this to the URL of your webhook when using the self-hosted version of FireCrawl
SELF_HOSTED_WEBHOOK_URL=

# Resend API Key for transactional emails
RESEND_API_KEY=

# LOGGING_LEVEL determines the verbosity of logs that the system will output.
# Available levels are:
# NONE - No logs will be output.
# ERROR - For logging error messages that indicate a failure in a specific operation.
# WARN - For logging potentially harmful situations that are not necessarily errors.
# INFO - For logging informational messages that highlight the progress of the application.
# DEBUG - For logging detailed information on the flow through the system, primarily used for debugging.
# TRACE - For logging more detailed information than the DEBUG level.
# Set LOGGING_LEVEL to one of the above options to control logging output.
LOGGING_LEVEL=INFO

import streamlit as st
import requests
import json
import logging
import time

# -----------------------------------------------------
# もろもろの設定
# -----------------------------------------------------
st.set_page_config(page_title="Dify連携Chatbot", page_icon="🤖", layout="wide")
st.sidebar.title("🤖Dify連携Chatbot")

# ロギングの設定
logging.basicConfig(level=logging.ERROR)

# グローバル変数の設定
DIFY_URL = 'http://161.93.+++.++:8080' #ローカルホストしているDifyのURL
API_KEY = 'app-b5KlVbjKAC0wjgu+++++' #アプリ毎に振り出されるAPIキー
HEADERS = {
    'Authorization': f'Bearer {API_KEY}',
    'Content-Type': 'application/json'
}


def send_message_to_dify(
            user_message, 
            user_id,
            conversation_id="", 
            file_id=""):
    """
    Difyチャットボットのエンドポイントとメッセージを送受信する。
    """

    url = f'{DIFY_URL}/v1/chat-messages'

    if file_id != "":
        payload = {
            "inputs": {},
            "query": user_message,
            "response_mode": "blocking",
            "conversation_id": conversation_id,
            "user": user_id,
            "files": [{
                "type": "image",
                "transfer_method": "local_file",
                "upload_file_id": file_id
            }]
        }
    else:
        payload = {
            "inputs": {},
            "query": user_message,
            "response_mode": "blocking",
            "conversation_id": conversation_id,
            "user": user_id
        }

    try:
        response = requests.post(url, headers=HEADERS, json=payload) 
    except requests.exceptions.RequestException as e:
        logging.error(f"HTTPリクエストエラー: {e}")
        st.write('リクエストエラーが発生しました。')

    return response.json()


def upload_image_to_dify(upload_image, user_id):
    """
    Difyに画像をアップロードする。
    画像のIDが返される。
    """

    url = f'{DIFY_URL}/v1/files/upload'

    headers = {'Authorization': f'Bearer {API_KEY}'}

    files = {"file": (upload_image.name, upload_image.getvalue(), upload_image.type)}
    data = {'user': user_id}

    with st.spinner("画像をアップロード中..."):
        try:
            response = requests.post(url, headers=headers, files=files, data=data)
        except requests.exceptions.RequestException as e:
            st.error(f"リクエストに失敗しました: {e}")
            return None

    if response.status_code in (200, 201):
        upload_data = response.json()
        # ファイルIDを取得して返す
        return upload_data.get("id")


def dify_get_messages(user_id="tico-data-import-python", conversation_id=""):
    """
    ユーザーIDと会話IDから会話履歴を取得する。
    """

    url = f'{DIFY_URL}/v1/messages'
    params = {
        "user": user_id,
        "conversation_id": conversation_id,
        "limit": 20
    }

    response = requests.get(url, headers=HEADERS, params=params)

    if response.status_code == 200:
        return response.json().get('data', [])
    else:
        st.write(f"Error: {response.status_code}, {response.text}")
        return []


def dify_get_conversations(user_id, DIFY_URL=DIFY_URL, HEADERS=HEADERS):
    """
    指定されたユーザーIDに基づいて会話リストを取得する関数。
    """
    
    url = f'{DIFY_URL}/v1/conversations'
    params = {
        'user': user_id,
        'last_id': '',  # default is null
        'limit': 20     # 取得する会話の数
    }

    # GETリクエストを送信
    response = requests.get(url, headers=HEADERS, params=params)

    # JSON形式でレスポンスが返される場合は、以下のように解析
    try:
        json_response = response.json()
        conversation_id_list = result = [{'id': item['id'], 'name': item['name']} for item in json_response['data']]
    except ValueError:
        print("JSON形式ではないレスポンス:", response.text)

    return conversation_id_list


def dify_delete_conversation(user_id, conversation_id):
    """
    指定された会話を削除する。
    """
    
    url = f"{DIFY_URL}/v1/conversations/{conversation_id}"
    data = {"user": user_id}
    
    try:
        # DELETEリクエストを送信
        response = requests.delete(url, headers=HEADERS, data=json.dumps(data))
        
        # # # レスポンスのステータスコードと内容をログに出力
        logging.debug(f"DELETEステータスコード: {response.status_code}")
        logging.debug(f"DELETEレスポンス: {response.json()}")
        
        # ステータスコードに応じた処理
        if response.status_code in [200, 204]:
            st.success("会話を削除します。")
            time.sleep(2)
            st.session_state.conversations = dify_get_conversations(user_id=user_id)
            st.rerun()
            return True
        else:
            st.error("会話の削除に失敗しました。")
            time.sleep(2)
            return False

    except requests.exceptions.RequestException as e:
        logging.error(f"HTTPリクエストエラー: {e}")
        st.error("リクエストエラーが発生しました。")
        time.sleep(2)
        return False


def dify_rename_conversation(user_id, conversation_id, new_name):
    """
    会話名を変更する。
    """

    url = f"{DIFY_URL}/v1/conversations/{conversation_id}/name"
    payload = {
        "name": new_name,
        "user": user_id
        }
    
    try:
        response = requests.post(url, json=payload)
        logging.debug(f"POSTステータスコード： {response.status_code}")
        logging.debug(f"POSTレスポンス: {response.json()}")
        
        if response.json().get("name") == new_name:
            st.success("会話名を変更します。")
            time.sleep(2)
            st.session_state.conversations = dify_get_conversations(user_id=user_id)
            st.rerun()
            return True
        else:
            st.error("会話名の変更に失敗しました。")
            time.sleep(2)
            return False
        
    except requests.exceptions.RequestException as e:
        logging.error(f"HTTPリクエストエラー: {e}")
        st.error("リクエストエラーが発生しました。")
        time.sleep(2)
        return False


def dify_chatbot():
    """
    メイン関数
    """

    # -----------------------------------------------------
    # session_stateの初期化
    # -----------------------------------------------------
    if 'conversation_id' not in st.session_state:
        st.session_state.conversation_id = ""
    if 'messages' not in st.session_state:
        st.session_state.messages = []
    if 'file_id' not in st.session_state:
        st.session_state.file_id = ""

    # -----------------------------------------------------
    # 会話の準備
    # ------------------------------------------------
    # ユーザーIDの入力
    user_id = st.sidebar.text_input("ユーザーID", "")
    if not user_id:
        st.sidebar.info("👆会話履歴管理のため、従業員番号を入力してください。")
        st.stop()

    st.sidebar.write(f"ユーザーID: {user_id}")
    st.sidebar.write(f"会話ID: {st.session_state.conversation_id}")

    # 会話リセットボタンの追加
    if st.sidebar.button("会話をリセット"):
        st.session_state.conversation_id = ""
        st.session_state.messages = []
        st.rerun()

    # -----------------------------------------------------
    # チャットメッセージを表示
    # -----------------------------------------------------
    # for message in st.session_state.messages:
    #     avatar = "😎" if message['role'] == "user" else "🎅"
    #     st.chat_message(message['role'], avatar=avatar).write(message['content'])

    # # -----------------------------------------------------
    # # messagesをメイン画面に表示（チャット形式）
    # # -----------------------------------------------------
    for msg in st.session_state.messages:
        if msg["role"] == "user":
            if "content" in msg:
                with st.chat_message("user", avatar='😀'):
                    st.write(msg["content"])
            elif "image" in msg:
                if msg["image"]:
                    st.image(msg["image"], caption="Uploaded Image", width=400)
                
        elif msg["role"] == "assistant":
            st.chat_message("assistant", avatar='🤖').write(msg["content"])

    

    # -----------------------------------------------------
    # チャットボットのメイン処理
    # -----------------------------------------------------
    # ユーザーからの入力
    user_input = st.chat_input("メッセージを入力してください:")

    if user_input:
        st.session_state.messages.append({"role": "user", "content": user_input})
        st.chat_message("user", avatar="😎").write(user_input)
            
        with st.spinner("Difyと通信中..."):
            response = send_message_to_dify(
                                user_message=user_input, 
                                conversation_id=st.session_state.conversation_id, 
                                user_id=user_id,
                                )
            
            # conversation_idの更新
            st.session_state.conversation_id = response.get('conversation_id', st.session_state.conversation_id)
            answer = response.get('answer', '')
            
            # ボットの回答を表示
            st.session_state.messages.append({"role": "assistant", "content": answer})
            st.chat_message("assistant", avatar="🎅").write(answer)
            

    # -----------------------------------------------------
    # 画像のアップロード
    # -----------------------------------------------------
    with st.sidebar.expander("画像のアップロード", expanded=False):
        upload_image = st.file_uploader("画像をアップロード", type=["png", "jpg", "jpeg"], accept_multiple_files=False)
        
        # Difyに画像を渡して、画像IDを取得
        if upload_image:
            st.image(upload_image, caption=f"{upload_image.name}", width=200)

            if st.button("**画像をアップロード！**"):

                    # ファイルIDを取得
                    st.session_state.file_id = upload_image_to_dify(upload_image, user_id)

                    if st.session_state.file_id == "":
                        st.warning("画像のアップロードに失敗しました。")
                        st.stop()

                    st.write(f'file_id: {st.session_state.file_id}')
                
                    # 画像を説明してもらう
                    if st.session_state.file_id != "":
                        user_input = "何が写っているか説明してください。"

                        response = send_message_to_dify(
                            user_message=user_input, 
                            conversation_id=st.session_state.conversation_id,
                            user_id=user_id, 
                            file_id=st.session_state.file_id
                            )
                        
                        # conversation_idの更新
                        st.session_state.conversation_id = response.get('conversation_id', st.session_state.conversation_id)

                        # 質問、画像、回答をmessages_difyに格納
                        st.session_state.messages.append({"role": "user", "content": user_input})
                        st.session_state.messages.append({"role": "user", "image": upload_image})
                        answer = response.get('answer', '')
                        st.session_state.messages.append({"role": "assistant", "content": answer})
                        st.rerun()
                        
    # -----------------------------------------------------
    # 会話履歴の管理
    # -----------------------------------------------------
    with st.sidebar.expander("過去会話の管理", expanded=False):
        # -----------------------------------------------------
        # ユーザーIDに紐づく会話リストを取得、再取得
        # -----------------------------------------------------
        st.write("1_過去会話リストを読み込む")
        if 'conversations' not in st.session_state:
            st.session_state.conversations = dify_get_conversations(user_id=user_id)
        if st.button("リストの再取得"):
            st.session_state.conversations = dify_get_conversations(user_id=user_id)

        # key: 会話名, value: 会話ID の辞書を作成
        conversations_dict = {item['name']: item['id'] for item in st.session_state.conversations}

        # -----------------------------------------------------
        # 過去会話のロード
        # -----------------------------------------------------
        if not conversations_dict:
            st.stop()

        st.write("2_過去会話を読み込む")
        conversation_name = st.selectbox("過去会話を選択", list(conversations_dict.keys()))

        if st.button("👆これを読込む") and conversations_dict:
            # 現在の会話を削除
            del st.session_state.messages
            # 会話履歴を取得
            raw_messages = dify_get_messages(user_id=user_id, conversation_id=conversations_dict[conversation_name])
            # 会話IDを更新
            st.session_state.conversation_id = conversations_dict[conversation_name]

            # 会話履歴をst.session_state.messagesに格納
            st.session_state.messages = []
            for msg in raw_messages:
                if msg['query']: # userメッセージはこのキーで格納されている
                    st.session_state.messages.append({"role": "user", "content": msg['query']})
                if msg['answer']: # assistantメッセージはこのキーで格納されている
                    st.session_state.messages.append({"role": "assistant", "content": msg['answer']})
            st.rerun()

        # -----------------------------------------------------
        # 会話名の変更
        # -----------------------------------------------------
        st.write("3_会話名を変更")
        new_conversation_name = st.text_input("新しい会話名を入力", value=conversation_name)
        if st.button("👆これに名称変更"):
            dify_rename_conversation(user_id, conversations_dict[conversation_name], new_conversation_name)

        # -----------------------------------------------------
        # 会話の削除
        # -----------------------------------------------------
        st.write("4_選択中の会話を削除")
        if st.button("選択中の会話を削除"):
            dify_delete_conversation(user_id, conversations_dict[conversation_name])
            
if __name__ == "__main__":
    dify_chatbot()