輔助函式
本主題包含 M 延伸模組中常用的一些協助程式函式。
這些函式最終可能會移至官方 M 連結庫，但現在可以複製到您的延伸模組檔程式代碼。
您不應該將這些函式標示為 shared 延伸模組程式代碼內的任何函式。
瀏覽數據表
Table.ToNavigationTable
此函式會新增擴充功能所需的數據表類型元數據，以傳回Power Query可辨識為流覽樹狀結構的數據表值。 如需詳細資訊，請參閱 導覽數據表 。
Table.ToNavigationTable = (
table as table,
keyColumns as list,
nameColumn as text,
dataColumn as text,
itemKindColumn as text,
itemNameColumn as text,
isLeafColumn as text
) as table =>
let
tableType = Value.Type(table),
newTableType = Type.AddTableKey(tableType, keyColumns, true) meta
[
NavigationTable.NameColumn = nameColumn,
NavigationTable.DataColumn = dataColumn,
NavigationTable.ItemKindColumn = itemKindColumn,
Preview.DelayColumn = itemNameColumn,
NavigationTable.IsLeafColumn = isLeafColumn
],
navigationTable = Value.ReplaceType(table, newTableType)
in
navigationTable;
| 參數 | 詳細資料 |
|---|---|
| table | 您的瀏覽資料表。 |
| keyColumns | 做為導覽數據表主鍵的數據行名稱清單。 |
| nameColumn | 應該作為導覽器中顯示名稱的數據行名稱。 |
| dataColumn | 包含要顯示之 Table 或 Function 的數據行名稱。 |
| itemKindColumn | 要用來判斷要顯示的圖示類型的數據行名稱。 數據行的有效值會列在處理導覽一文中。 |
| itemNameColumn | 要用來判斷要顯示之工具提示類型的數據行名稱。 資料列 Table 的有效值為 和 Function。 |
| isLeafColumn | 用來判斷這是否為分葉節點的數據行名稱，或節點是否可以展開以包含另一個導覽數據表。 |
範例用法：
shared MyExtension.Contents = () =>
let
objects = #table(
{"Name", "Key", "Data", "ItemKind", "ItemName", "IsLeaf"},{
{"Item1", "item1", #table({"Column1"}, {{"Item1"}}), "Table", "Table", true},
{"Item2", "item2", #table({"Column1"}, {{"Item2"}}), "Table", "Table", true},
{"Item3", "item3", FunctionCallThatReturnsATable(), "Table", "Table", true},
{"MyFunction", "myfunction", AnotherFunction.Contents(), "Function", "Function", true}
}),
NavTable = Table.ToNavigationTable(objects, {"Key"}, "Name", "Data", "ItemKind", "ItemName", "IsLeaf")
in
NavTable;
URI 操作
Uri.FromParts
此函式會根據記錄中的個別欄位來建構完整的 URL。 它會做為 Uri.Parts 的反向。
Uri.FromParts = (parts) =>
let
port = if (parts[Scheme] = "https" and parts[Port] = 443) or (parts[Scheme] = "http" and parts[Port] = 80) then "" else ":" & Text.From(parts[Port]),
div1 = if Record.FieldCount(parts[Query]) > 0 then "?" else "",
div2 = if Text.Length(parts[Fragment]) > 0 then "#" else "",
uri = Text.Combine({parts[Scheme], "://", parts[Host], port, parts[Path], div1, Uri.BuildQueryString(parts[Query]), div2, parts[Fragment]})
in
uri;
Uri.GetHost
此函式會傳回指定 URL 的配置、主機和預設埠（適用於 HTTP/HTTPS）。 例如， https://bing.com/subpath/query?param=1¶m2=hello 會變成 https://bing.com:443。
這對於建置 ResourcePath特別有用。
Uri.GetHost = (url) =>
let
parts = Uri.Parts(url),
port = if (parts[Scheme] = "https" and parts[Port] = 443) or (parts[Scheme] = "http" and parts[Port] = 80) then "" else ":" & Text.From(parts[Port])
in
parts[Scheme] & "://" & parts[Host] & port;
ValidateUrlScheme
此函式會檢查使用者是否已輸入 HTTPS URL，並在未輸入時引發錯誤。 這是使用者輸入認證連接器 URL 的必要專案。
ValidateUrlScheme = (url as text) as text => if (Uri.Parts(url)[Scheme] <> "https") then error "Url scheme must be HTTPS" else url;
若要套用它，只要將您的參數包裝 url 在數據存取函式中即可。
DataAccessFunction = (url as text) as table =>
let
_url = ValidateUrlScheme(url),
source = Web.Contents(_url)
in
source;
擷取資料
Value.WaitFor
這個函式在提出異步 HTTP 要求時很有用，而且您必須輪詢伺服器，直到要求完成為止。
Value.WaitFor = (producer as function, interval as function, optional count as number) as any =>
let
list = List.Generate(
() => {0, null},
(state) => state{0} <> null and (count = null or state{0} < count),
(state) => if state{1} <> null then {null, state{1}} else {1 + state{0}, Function.InvokeAfter(() => producer(state{0}), interval(state{0}))},
(state) => state{1})
in
List.Last(list);
Table.GenerateByPage
當 API 以累加/分頁格式傳回數據時，會使用此函式，這在許多 REST API 中很常見。 自 getNextPage 變數是接受單一參數的函式，這會是先前呼叫 getNextPage的結果，而且應該傳回 nullable table。
getNextPage = (lastPage) as nullable table => ...;
getNextPage 會重複呼叫，直到傳回 null為止。 函式會將所有頁面定序成單一數據表。 第一次呼叫 getNextPage 的結果為 null 時，會傳回空的數據表。
// The getNextPage function takes a single argument and is expected to return a nullable table
Table.GenerateByPage = (getNextPage as function) as table =>
let
listOfPages = List.Generate(
() => getNextPage(null), // get the first page of data
(lastPage) => lastPage <> null, // stop when the function returns null
(lastPage) => getNextPage(lastPage) // pass the previous page to the next function call
),
// concatenate the pages together
tableOfPages = Table.FromList(listOfPages, Splitter.SplitByNothing(), {"Column1"}),
firstRow = tableOfPages{0}?
in
// if we didn't get back any pages of data, return an empty table
// otherwise set the table type based on the columns of the first page
if (firstRow = null) then
Table.FromRows({})
// check for empty first table
else if (Table.IsEmpty(firstRow[Column1])) then
firstRow[Column1]
else
Value.ReplaceType(
Table.ExpandTableColumn(tableOfPages, "Column1", Table.ColumnNames(firstRow[Column1])),
Value.Type(firstRow[Column1])
);
其他注意事項
- 函
getNextPage式必須擷取下一個頁面 URL（或頁碼，或是用來實作分頁邏輯的任何其他值）。 這通常是藉由將值加入meta頁面再傳回頁面來完成。 - 合併數據表的數據行和數據表類型（也就是所有頁面在一起）都是衍生自數據的第一頁。 函
getNextPage式應該將每個數據頁面正規化。 - 的第一次呼叫
getNextPage會接收 Null 參數。 getNextPage沒有剩餘的頁面時，必須傳回 null。
您可以在 Github 範例和 TripPin 分頁範例中找到使用此函式的範例。
Github.PagedTable = (url as text) => Table.GenerateByPage((previous) =>
let
// If we have a previous page, get its Next link from metadata on the page.
next = if (previous <> null) then Value.Metadata(previous)[Next] else null,
// If we have a next link, use it, otherwise use the original URL that was passed in.
urlToUse = if (next <> null) then next else url,
// If we have a previous page, but don't have a next link, then we're done paging.
// Otherwise retrieve the next page.
current = if (previous <> null and next = null) then null else Github.Contents(urlToUse),
// If we got data back from the current page, get the link for the next page
link = if (current <> null) then Value.Metadata(current)[Next] else null
in
current meta [Next=link]);
SchemaTransformTable
EnforceSchema.Strict = 1; // Add any missing columns, remove extra columns, set table type
EnforceSchema.IgnoreExtraColumns = 2; // Add missing columns, do not remove extra columns
EnforceSchema.IgnoreMissingColumns = 3; // Do not add or remove columns
SchemaTransformTable = (table as table, schema as table, optional enforceSchema as number) as table =>
let
// Default to EnforceSchema.Strict
_enforceSchema = if (enforceSchema <> null) then enforceSchema else EnforceSchema.Strict,
// Applies type transforms to a given table
EnforceTypes = (table as table, schema as table) as table =>
let
map = (t) => if Type.Is(t, type list) or Type.Is(t, type record) or t = type any then null else t,
mapped = Table.TransformColumns(schema, {"Type", map}),
omitted = Table.SelectRows(mapped, each [Type] <> null),
existingColumns = Table.ColumnNames(table),
removeMissing = Table.SelectRows(omitted, each List.Contains(existingColumns, [Name])),
primativeTransforms = Table.ToRows(removeMissing),
changedPrimatives = Table.TransformColumnTypes(table, primativeTransforms)
in
changedPrimatives,
// Returns the table type for a given schema
SchemaToTableType = (schema as table) as type =>
let
toList = List.Transform(schema[Type], (t) => [Type=t, Optional=false]),
toRecord = Record.FromList(toList, schema[Name]),
toType = Type.ForRecord(toRecord, false)
in
type table (toType),
// Determine if we have extra/missing columns.
// The enforceSchema parameter determines what we do about them.
schemaNames = schema[Name],
foundNames = Table.ColumnNames(table),
addNames = List.RemoveItems(schemaNames, foundNames),
extraNames = List.RemoveItems(foundNames, schemaNames),
tmp = Text.NewGuid(),
added = Table.AddColumn(table, tmp, each []),
expanded = Table.ExpandRecordColumn(added, tmp, addNames),
result = if List.IsEmpty(addNames) then table else expanded,
fullList =
if (_enforceSchema = EnforceSchema.Strict) then
schemaNames
else if (_enforceSchema = EnforceSchema.IgnoreMissingColumns) then
foundNames
else
schemaNames & extraNames,
// Select the final list of columns.
// These will be ordered according to the schema table.
reordered = Table.SelectColumns(result, fullList, MissingField.Ignore),
enforcedTypes = EnforceTypes(reordered, schema),
withType = if (_enforceSchema = EnforceSchema.Strict) then Value.ReplaceType(enforcedTypes, SchemaToTableType(schema)) else enforcedTypes
in
withType;
Table.ChangeType
let
// table should be an actual Table.Type, or a List.Type of Records
Table.ChangeType = (table, tableType as type) as nullable table =>
// we only operate on table types
if (not Type.Is(tableType, type table)) then error "type argument should be a table type" else
// if we have a null value, just return it
if (table = null) then table else
let
columnsForType = Type.RecordFields(Type.TableRow(tableType)),
columnsAsTable = Record.ToTable(columnsForType),
schema = Table.ExpandRecordColumn(columnsAsTable, "Value", {"Type"}, {"Type"}),
previousMeta = Value.Metadata(tableType),
// make sure we have a table
parameterType = Value.Type(table),
_table =
if (Type.Is(parameterType, type table)) then table
else if (Type.Is(parameterType, type list)) then
let
asTable = Table.FromList(table, Splitter.SplitByNothing(), {"Column1"}),
firstValueType = Value.Type(Table.FirstValue(asTable, null)),
result =
// if the member is a record (as expected), then expand it.
if (Type.Is(firstValueType, type record)) then
Table.ExpandRecordColumn(asTable, "Column1", schema[Name])
else
error Error.Record("Error.Parameter", "table argument is a list, but not a list of records", [ ValueType = firstValueType ])
in
if (List.IsEmpty(table)) then
#table({"a"}, {})
else result
else
error Error.Record("Error.Parameter", "table argument should be a table or list of records", [ValueType = parameterType]),
reordered = Table.SelectColumns(_table, schema[Name], MissingField.UseNull),
// process primitive values - this will call Table.TransformColumnTypes
map = (t) => if Type.Is(t, type table) or Type.Is(t, type list) or Type.Is(t, type record) or t = type any then null else t,
mapped = Table.TransformColumns(schema, {"Type", map}),
omitted = Table.SelectRows(mapped, each [Type] <> null),
existingColumns = Table.ColumnNames(reordered),
removeMissing = Table.SelectRows(omitted, each List.Contains(existingColumns, [Name])),
primativeTransforms = Table.ToRows(removeMissing),
changedPrimatives = Table.TransformColumnTypes(reordered, primativeTransforms),
// Get the list of transforms we'll use for Record types
recordColumns = Table.SelectRows(schema, each Type.Is([Type], type record)),
recordTypeTransformations = Table.AddColumn(recordColumns, "RecordTransformations", each (r) => Record.ChangeType(r, [Type]), type function),
recordChanges = Table.ToRows(Table.SelectColumns(recordTypeTransformations, {"Name", "RecordTransformations"})),
// Get the list of transforms we'll use for List types
listColumns = Table.SelectRows(schema, each Type.Is([Type], type list)),
listTransforms = Table.AddColumn(listColumns, "ListTransformations", each (t) => List.ChangeType(t, [Type]), Function.Type),
listChanges = Table.ToRows(Table.SelectColumns(listTransforms, {"Name", "ListTransformations"})),
// Get the list of transforms we'll use for Table types
tableColumns = Table.SelectRows(schema, each Type.Is([Type], type table)),
tableTransforms = Table.AddColumn(tableColumns, "TableTransformations", each (t) => @Table.ChangeType(t, [Type]), Function.Type),
tableChanges = Table.ToRows(Table.SelectColumns(tableTransforms, {"Name", "TableTransformations"})),
// Perform all of our transformations
allColumnTransforms = recordChanges & listChanges & tableChanges,
changedRecordTypes = if (List.IsEmpty(allColumnTransforms)) then changedPrimatives else Table.TransformColumns(changedPrimatives, allColumnTransforms, null, MissingField.Ignore),
// set final type
withType = Value.ReplaceType(changedRecordTypes, tableType)
in
if (List.IsEmpty(Record.FieldNames(columnsForType))) then table else withType meta previousMeta,
// If given a generic record type (no predefined fields), the original record is returned
Record.ChangeType = (record as record, recordType as type) =>
let
// record field format is [ fieldName = [ Type = type, Optional = logical], ... ]
fields = try Type.RecordFields(recordType) otherwise error "Record.ChangeType: failed to get record fields. Is this a record type?",
fieldNames = Record.FieldNames(fields),
fieldTable = Record.ToTable(fields),
optionalFields = Table.SelectRows(fieldTable, each [Value][Optional])[Name],
requiredFields = List.Difference(fieldNames, optionalFields),
// make sure all required fields exist
withRequired = Record.SelectFields(record, requiredFields, MissingField.UseNull),
// append optional fields
withOptional = withRequired & Record.SelectFields(record, optionalFields, MissingField.Ignore),
// set types
transforms = GetTransformsForType(recordType),
withTypes = Record.TransformFields(withOptional, transforms, MissingField.Ignore),
// order the same as the record type
reorder = Record.ReorderFields(withTypes, fieldNames, MissingField.Ignore)
in
if (List.IsEmpty(fieldNames)) then record else reorder,
List.ChangeType = (list as list, listType as type) =>
if (not Type.Is(listType, type list)) then error "type argument should be a list type" else
let
listItemType = Type.ListItem(listType),
transform = GetTransformByType(listItemType),
modifiedValues = List.Transform(list, transform),
typed = Value.ReplaceType(modifiedValues, listType)
in
typed,
// Returns a table type for the provided schema table
Schema.ToTableType = (schema as table) as type =>
let
toList = List.Transform(schema[Type], (t) => [Type=t, Optional=false]),
toRecord = Record.FromList(toList, schema[Name]),
toType = Type.ForRecord(toRecord, false),
previousMeta = Value.Metadata(schema)
in
type table (toType) meta previousMeta,
// Returns a list of transformations that can be passed to Table.TransformColumns, or Record.TransformFields
// Format: {"Column", (f) => ...) .... ex: {"A", Number.From}
GetTransformsForType = (_type as type) as list =>
let
fieldsOrColumns = if (Type.Is(_type, type record)) then Type.RecordFields(_type)
else if (Type.Is(_type, type table)) then Type.RecordFields(Type.TableRow(_type))
else error "GetTransformsForType: record or table type expected",
toTable = Record.ToTable(fieldsOrColumns),
transformColumn = Table.AddColumn(toTable, "Transform", each GetTransformByType([Value][Type]), Function.Type),
transformMap = Table.ToRows(Table.SelectColumns(transformColumn, {"Name", "Transform"}))
in
transformMap,
GetTransformByType = (_type as type) as function =>
if (Type.Is(_type, type number)) then Number.From
else if (Type.Is(_type, type text)) then Text.From
else if (Type.Is(_type, type date)) then Date.From
else if (Type.Is(_type, type datetime)) then DateTime.From
else if (Type.Is(_type, type duration)) then Duration.From
else if (Type.Is(_type, type datetimezone)) then DateTimeZone.From
else if (Type.Is(_type, type logical)) then Logical.From
else if (Type.Is(_type, type time)) then Time.From
else if (Type.Is(_type, type record)) then (t) => if (t <> null) then @Record.ChangeType(t, _type) else t
else if (Type.Is(_type, type table)) then (t) => if (t <> null) then @Table.ChangeType(t, _type) else t
else if (Type.Is(_type, type list)) then (t) => if (t <> null) then @List.ChangeType(t, _type) else t
else (t) => t
in
Table.ChangeType
意見反應
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