package cmd

import (
	"context"
	"encoding/base64"
	"errors"
	"fmt"
	"io"
	"net/http"
	"net/url"
	"strings"
	"time"

	"github.com/Azure/azure-storage-blob-go/azblob"
	"github.com/Azure/go-autorest/autorest/adal"
	"github.com/Azure/go-autorest/autorest/azure"
	"github.com/minio/madmin-go/v3"
)

type warmBackendAzure struct {
	serviceURL   azblob.ServiceURL
	Bucket       string
	Prefix       string

= vendor/github.com/Azure/go-ansiterm licensed under: =

The MIT License (MIT)

Copyright (c) 2015 Microsoft Corporation

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

> To create a transition tier for transitioning objects to a prefix `testprefix` in `azurebucket` on Azure blob using `mc`:

```
 mc admin tier add azure source AZURETIER --endpoint https://blob.core.windows.net --access-key AZURE_ACCOUNT_NAME --secret-key AZURE_ACCOUNT_KEY  --bucket azurebucket --prefix testprefix1/
```

func newWarmBackend(ctx context.Context, tier madmin.TierConfig, probe bool) (d WarmBackend, err error) {
	switch tier.Type {
	case madmin.S3:
		d, err = newWarmBackendS3(*tier.S3, tier.Name)
	case madmin.Azure:
		d, err = newWarmBackendAzure(*tier.Azure, tier.Name)
	case madmin.GCS:
		d, err = newWarmBackendGCS(*tier.GCS, tier.Name)
	case madmin.MinIO:
		d, err = newWarmBackendMinIO(*tier.MinIO, tier.Name)
	default:

  go mod tidy
  cd ..
fi

# SqlServer for Mac M1
if [[ -z $GITHUB_ACTION ]]; then
  if [ -d tests ]
  then
    cd tests
    if [[ $(uname -a) == *" arm64" ]]; then
      MSSQL_IMAGE=mcr.microsoft.com/azure-sql-edge docker-compose start || true
      go install github.com/microsoft/go-sqlcmd/cmd/sqlcmd@latest || true

permissions:
  contents: read

jobs:
  release:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout
        uses: actions/checkout@v4

      - name: Install Helm
        uses: azure/setup-helm@v3

      - name: Run helm lint
        run: |
          cd helm/minio

### Machine Learning modelleri, spaCy ve FastAPI - Features

* **spaCy** NER model entegrasyonu.
* **Azure Cognitive Search** yerleşik istek biçimi.
* Uvicorn ve Gunicorn ile **Production ready** Python web server'ı.
* Dahili **Azure DevOps** Kubernetes (AKS) CI/CD deployment.
* **Multilingual**, Proje kurulumu sırasında spaCy'nin yerleşik dillerinden birini kolayca seçin.

### Modelle für maschinelles Lernen mit spaCy und FastAPI – Funktionen

* **spaCy** NER-Modellintegration.
* **Azure Cognitive Search**-Anforderungsformat integriert.
* **Produktionsbereit** Python-Webserver, verwendet Uvicorn und Gunicorn.
* **Azure DevOps** Kubernetes (AKS) CI/CD-Deployment integriert.
* **Mehrsprachig** Wählen Sie bei der Projekteinrichtung ganz einfach eine der integrierten Sprachen von spaCy aus.

### Modelos de Aprendizado de Máquina com spaCy e FastAPI - Recursos

* Integração com modelo NER **spaCy**.
* Formato de requisição **Busca Cognitiva Azure** acoplado.
* Servidor Python _web_ **Pronto para Produção** usando Uvicorn e Gunicorn.
* Implantação **Azure DevOps** Kubernetes (AKS) CI/CD acoplada.
* **Multilingual** facilmente escolhido como uma das linguagens spaCy acopladas durante a configuração do projeto.

### FastAPI + spaCy 机器学习模型 - 功能

* 集成 **spaCy** NER 模型
* 内置 **Azure 认知搜索**请求格式
* **生产可用**的 Python 网络服务器，使用 Uvicorn 与 Gunicorn
* 内置 **Azure DevOps** Kubernetes (AKS) CI/CD 开发
* **多语**支持，可在项目设置时选择 spaCy 内置的语言