Question

我需要使用wagtail CMS平台在Azure上为我的模型建立索引。我编写的杂乱功能可以访问AZURE服务，并且可以基于硬编码数据创建索引。

def createIndex(request):
    endpoint = 'https://service-test.search.windows.net/'
    api_version = '2020-06-30'
    url = endpoint + "indexes?api-version=" + api_version

    index_schema = {
        "name": "hotels-test",  
        "fields": [
            {"name": "HotelId", "type": "Edm.String", "key": "true", "filterable": "true"},
            {"name": "HotelName", "type": "Edm.String", "searchable": "true", "filterable": "false", "sortable": "true", "facetable": "false"},
            {"name": "Description", "type": "Edm.String", "searchable": "true", "filterable": "false", "sortable": "false", "facetable": "false", "analyzer": "en.lucene"},
            {"name": "Description_fr", "type": "Edm.String", "searchable": "true", "filterable": "false", "sortable": "false", "facetable": "false", "analyzer": "fr.lucene"},
            {"name": "Category", "type": "Edm.String", "searchable": "true", "filterable": "true", "sortable": "true", "facetable": "true"},
            {"name": "Tags", "type": "Collection(Edm.String)", "searchable": "true", "filterable": "true", "sortable": "false", "facetable": "true"},
            {"name": "ParkingIncluded", "type": "Edm.Boolean", "filterable": "true", "sortable": "true", "facetable": "true"},
            {"name": "LastRenovationDate", "type": "Edm.DateTimeOffset", "filterable": "true", "sortable": "true", "facetable": "true"},
            {"name": "Rating", "type": "Edm.Double", "filterable": "true", "sortable": "true", "facetable": "true"},
            {"name": "Address", "type": "Edm.ComplexType", 
                "fields": [
                    {"name": "StreetAddress", "type": "Edm.String", "filterable": "false", "sortable": "false", "facetable": "false", "searchable": "true"},
                    {"name": "City", "type": "Edm.String", "searchable": "true", "filterable": "true", "sortable": "true", "facetable": "true"},
                    {"name": "StateProvince", "type": "Edm.String", "searchable": "true", "filterable": "true", "sortable": "true", "facetable": "true"},
                    {"name": "PostalCode", "type": "Edm.String", "searchable": "true", "filterable": "true", "sortable": "true", "facetable": "true"},
                    {"name": "Country", "type": "Edm.String", "searchable": "true", "filterable": "true", "sortable": "true", "facetable": "true"}
                ]
            }
        ]
    }
    
    headers = {'Content-Type': 'application/json', 'api-key': 'key*******'}

    response = requests.post(url, headers=headers, json=index_schema)
    index = response.json()

    return HttpResponse(response)

但是，我有一堆文件夹，每个文件夹都有一个模型文件。我需要以某种方式索引模型，但是我不知道从哪里开始？有人可以指出正确的方向吗？

谢谢

Answer 1

在

https://github.com/Azure/azure-rest-api-specs/blob/master/specification/search/data-plane/Azure.Search/preview/2020-06-30-Preview/examples/SearchServiceCreateIndex.json

您可以找到RestAPI的请求和响应。

通过这种方式，我们有一个SDK和一些示例。

https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/search/azure-search-documents/samples/sample_index_crud_operations.py#L41-L62

（我在SDK团队的MS中工作）

如何在天蓝色搜索的w中索引模型

1 个答案: