【发布时间】：2019-12-30 06:32:34
【问题描述】：
我在 Office Excel 365 中创建了一个 Web 查询，如下所示：
查询的名称是 LivSTK
let
Source = Json.Document(Web.Contents("https://beta.nseindia.com/api/equity-stockIndices?index=SECURITIES%20IN%20F%26O")),
data = Source[data],
#"Converted to Table" = Table.FromList(data, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Expanded Column1" = Table.ExpandRecordColumn(#"Converted to Table", "Column1", {"symbol", "identifier", "series", "open", "dayHigh", "dayLow", "lastPrice", "previousClose", "change", "pChange", "totalTradedVolume", "totalTradedValue", "lastUpdateTime", "yearHigh", "yearLow", "nearWKH", "nearWKL", "perChange365d", "date365dAgo", "chart365dPath", "date30dAgo", "perChange30d", "chart30dPath", "chartTodayPath", "meta"}, {"symbol", "identifier", "series", "open", "dayHigh", "dayLow", "lastPrice", "previousClose", "change", "pChange", "totalTradedVolume", "totalTradedValue", "lastUpdateTime", "yearHigh", "yearLow", "nearWKH", "nearWKL", "perChange365d", "date365dAgo", "chart365dPath", "date30dAgo", "perChange30d", "chart30dPath", "chartTodayPath", "meta"}),
#"Sorted Rows" = Table.Sort(#"Expanded Column1",{{"symbol", Order.Ascending}}),
#"Expanded meta" = Table.ExpandRecordColumn(#"Sorted Rows", "meta", {"companyName", "industry"}, {"companyName", "industry"}),
#"Changed Type" = Table.TransformColumnTypes(#"Expanded meta",{{"open", type number}, {"dayHigh", type number}, {"dayLow", type number}, {"lastPrice", type number}, {"previousClose", type number}, {"change", type number}, {"pChange", type number}, {"totalTradedVolume", type number}, {"totalTradedValue", type number}, {"yearHigh", type number}, {"yearLow", type number}, {"nearWKH", type number}, {"nearWKL", type number}, {"perChange365d", type number}, {"perChange30d", type number}}),
#"Removed Columns" = Table.RemoveColumns(#"Changed Type",{"identifier", "series", "lastUpdateTime", "date365dAgo", "chart365dPath", "date30dAgo", "chart30dPath", "chartTodayPath"}),
#"Rounded Off" = Table.TransformColumns(#"Removed Columns",{{"open", each Number.Round(_, 2), type number}, {"dayHigh", each Number.Round(_, 2), type number}, {"dayLow", each Number.Round(_, 2), type number}, {"lastPrice", each Number.Round(_, 2), type number}, {"previousClose", each Number.Round(_, 2), type number}, {"change", each Number.Round(_, 2), type number}, {"pChange", each Number.Round(_, 2), type number}, {"totalTradedVolume", each Number.Round(_, 2), type number}, {"totalTradedValue", each Number.Round(_, 2), type number}, {"yearHigh", each Number.Round(_, 2), type number}, {"yearLow", each Number.Round(_, 2), type number}, {"nearWKH", each Number.Round(_, 2), type number}, {"nearWKL", each Number.Round(_, 2), type number}, {"perChange365d", each Number.Round(_, 2), type number}, {"perChange30d", each Number.Round(_, 2), type number}}),
#"Renamed Columns" = Table.RenameColumns(#"Rounded Off",{{"symbol", "Symbol"}, {"open", "Open"}, {"dayHigh", "High"}, {"dayLow", "Low"}, {"lastPrice", "LTP"}, {"previousClose", "Prev Close"}, {"change", "CHG"}, {"pChange", "CHG %"}, {"totalTradedVolume", "VOL"}, {"totalTradedValue", "VAL"}, {"yearHigh", "52W High"}, {"yearLow", "52W Low"}, {"nearWKH", "CHG % 52W H"}, {"nearWKL", "CHG % 52W L"}, {"perChange365d", "CHG % 365D"}, {"perChange30d", "CHG % 30D"}, {"companyName", "Co Name"}}),
#"Added Custom" = Table.AddColumn(#"Renamed Columns", "Time Stamp", each getLivStkTimeStmp ()),
#"Expanded Time Stamp" = Table.ExpandTableColumn(#"Added Custom", "Time Stamp", {"Time Stamp"}, {"Time Stamp.1"}),
#"Renamed Columns1" = Table.RenameColumns(#"Expanded Time Stamp",{{"Time Stamp.1", "Time Stamp"}}),
#"Changed Type1" = Table.TransformColumnTypes(#"Renamed Columns1",{{"Time Stamp", type datetime}})
in
#"Changed Type1"
在代码的响应标题下，我从其他代码中找到了以下内容：
内容编码：gzip 内容长度：20707 内容类型：应用程序/json；字符集=utf-8 日期：2019 年 12 月 30 日星期一 05:01:25 GMT
现在的问题是，当我启动 excel 并刷新上述查询时，我无法获取数据。它显示以下错误：
DataSource.Error：底层连接已关闭：意外 接收时发生错误。细节： https://beta.nseindia.com/api/equity-stockIndices?index=SECURITIES%20IN%20F%26O
奇怪的是，一旦我系统中的时间是 12:00，它就会刷新。我无法找到解决方案，因为我不是技术人员，也没有编写代码的知识。
请提供合适的设置。 谢谢
【问题讨论】：
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面临同样的问题。我的猜测是 NSE 已经停止提供任何免费的连续订阅，他们只在白天的某个时间打开他们的连接。