MailMergerContext

MailMergerContext class

邮件合并上下文。

public class MailMergerContext : ProcessorContext

构造函数

姓名描述
MailMergerContext()默认构造函数。

特性

姓名描述
FontSettings { get; set; }处理器使用的字体设置。
LayoutOptions { get; }处理器使用的文档布局选项。
MailMergeOptions { get; }邮件合并选项。
WarningCallback { get; set; }处理器使用的警告回调。

方法

姓名描述
SetRegionsDataSource(DataSet)设置用于执行区域邮件合并的数据源。
SetRegionsDataSource(DataTable)设置用于执行区域邮件合并的数据源。
SetSimpleDataSource(DataRow)设置用于执行简单邮件合并的数据源。
SetSimpleDataSource(DataTable)设置用于执行简单邮件合并的数据源。
SetSimpleDataSource(string[], object[])设置用于执行简单邮件合并的数据源。

例子

展示如何使用上下文对单个记录执行邮件合并操作。

// 有几种方法可以进行邮件合并操作:
string doc = MyDir + "Mail merge.doc";

string[] fieldNames = new string[] { "FirstName", "Location", "SpecialCharsInName()" };
string[] fieldValues = new string[] { "James Bond", "London", "Classified" };

MailMergerContext mailMergerContext = new MailMergerContext();
mailMergerContext.SetSimpleDataSource(fieldNames, fieldValues);
mailMergerContext.MailMergeOptions.TrimWhitespaces = true;

MailMerger.Create(mailMergerContext)
    .From(doc)
    .To(ArtifactsDir + "LowCode.MailMergeContext.docx")
    .Execute();

展示如何使用上下文从 DataRow 执行邮件合并操作。

// 有几种方法可以从 DataRow 执行邮件合并操作:
string doc = MyDir + "Mail merge.doc";

DataTable dataTable = new DataTable();
dataTable.Columns.Add("FirstName");
dataTable.Columns.Add("Location");
dataTable.Columns.Add("SpecialCharsInName()");

DataRow dataRow = dataTable.Rows.Add(new string[] { "James Bond", "London", "Classified" });

MailMergerContext mailMergerContext = new MailMergerContext();
mailMergerContext.SetSimpleDataSource(dataRow);
mailMergerContext.MailMergeOptions.TrimWhitespaces = true;

MailMerger.Create(mailMergerContext)
    .From(doc)
    .To(ArtifactsDir + "LowCode.MailMergeContextDataRow.docx")
    .Execute();

展示如何使用上下文从 DataTable 执行邮件合并操作。

// 有几种方法可以从 DataTable 执行邮件合并操作:
string doc = MyDir + "Mail merge.doc";

DataTable dataTable = new DataTable();
dataTable.Columns.Add("FirstName");
dataTable.Columns.Add("Location");
dataTable.Columns.Add("SpecialCharsInName()");

DataRow dataRow = dataTable.Rows.Add(new string[] { "James Bond", "London", "Classified" });

MailMergerContext mailMergerContext = new MailMergerContext();
mailMergerContext.SetSimpleDataSource(dataTable);
mailMergerContext.MailMergeOptions.TrimWhitespaces = true;

MailMerger.Create(mailMergerContext)
    .From(doc)
    .To(ArtifactsDir + "LowCode.MailMergeContextDataTable.docx")
    .Execute();

展示如何使用上下文从 DataTable 进行区域邮件合并操作。

// 有几种方法可以通过 DataTable 进行区域邮件合并操作:
string doc = MyDir + "Mail merge with regions.docx";

DataTable dataTable = new DataTable("MyTable");
dataTable.Columns.Add("FirstName");
dataTable.Columns.Add("LastName");
dataTable.Rows.Add(new object[] { "John", "Doe" });
dataTable.Rows.Add(new object[] { "", "" });
dataTable.Rows.Add(new object[] { "Jane", "Doe" });

MailMergerContext mailMergerContext = new MailMergerContext();
mailMergerContext.SetRegionsDataSource(dataTable);
mailMergerContext.MailMergeOptions.TrimWhitespaces = true;

MailMerger.Create(mailMergerContext)
    .From(doc)
    .To(ArtifactsDir + "LowCode.MailMergeContextWithRegionsDataTable.docx")
    .Execute();

展示如何使用上下文对流中的单个记录执行邮件合并操作。

// 有几种方法可以使用流中的文档进行邮件合并操作:
string[] fieldNames = new string[] { "FirstName", "Location", "SpecialCharsInName()" };
string[] fieldValues = new string[] { "James Bond", "London", "Classified" };

using (FileStream streamIn = new FileStream(MyDir + "Mail merge.doc", FileMode.Open, FileAccess.Read))
{
    MailMergerContext mailMergerContext = new MailMergerContext();
    mailMergerContext.SetSimpleDataSource(fieldNames, fieldValues);
    mailMergerContext.MailMergeOptions.TrimWhitespaces = true;

    using (FileStream streamOut = new FileStream(ArtifactsDir + "LowCode.MailMergeContextStream.docx", FileMode.Create, FileAccess.ReadWrite))
        MailMerger.Create(mailMergerContext)
            .From(streamIn)
            .To(streamOut, SaveFormat.Docx)
            .Execute();
}

展示如何使用来自流的文档通过上下文从 DataRow 执行邮件合并操作。

// 有几种方法可以使用流中的文档从 DataRow 执行邮件合并操作:
DataTable dataTable = new DataTable();
dataTable.Columns.Add("FirstName");
dataTable.Columns.Add("Location");
dataTable.Columns.Add("SpecialCharsInName()");

DataRow dataRow = dataTable.Rows.Add(new string[] { "James Bond", "London", "Classified" });

using (FileStream streamIn = new FileStream(MyDir + "Mail merge.doc", FileMode.Open, FileAccess.Read))
{
    MailMergerContext mailMergerContext = new MailMergerContext();
    mailMergerContext.SetSimpleDataSource(dataRow);
    mailMergerContext.MailMergeOptions.TrimWhitespaces = true;

    using (FileStream streamOut = new FileStream(ArtifactsDir + "LowCode.MailMergeContextStreamDataRow.docx", FileMode.Create, FileAccess.ReadWrite))
        MailMerger.Create(mailMergerContext)
            .From(streamIn)
            .To(streamOut, SaveFormat.Docx)
            .Execute();
}

展示如何使用来自流的文档通过上下文从 DataTable 执行邮件合并操作。

// 有几种方法可以使用流中的文档从 DataTable 执行邮件合并操作:
DataTable dataTable = new DataTable();
dataTable.Columns.Add("FirstName");
dataTable.Columns.Add("Location");
dataTable.Columns.Add("SpecialCharsInName()");

DataRow dataRow = dataTable.Rows.Add(new string[] { "James Bond", "London", "Classified" });

using (FileStream streamIn = new FileStream(MyDir + "Mail merge.doc", FileMode.Open, FileAccess.Read))
{
    MailMergerContext mailMergerContext = new MailMergerContext();
    mailMergerContext.SetSimpleDataSource(dataTable);
    mailMergerContext.MailMergeOptions.TrimWhitespaces = true;

    using (FileStream streamOut = new FileStream(ArtifactsDir + "LowCode.MailMergeContextStreamDataTable.docx", FileMode.Create, FileAccess.ReadWrite))
        MailMerger.Create(mailMergerContext)
            .From(streamIn)
            .To(streamOut, SaveFormat.Docx)
            .Execute();
}

展示如何使用来自流的文档通过上下文从 DataTable 执行带有区域操作的邮件合并。

// 有几种方法可以使用来自流的文档从 DataTable 进行区域邮件合并操作:
DataTable dataTable = new DataTable("MyTable");
dataTable.Columns.Add("FirstName");
dataTable.Columns.Add("LastName");
dataTable.Rows.Add(new object[] { "John", "Doe" });
dataTable.Rows.Add(new object[] { "", "" });
dataTable.Rows.Add(new object[] { "Jane", "Doe" });

using (FileStream streamIn = new FileStream(MyDir + "Mail merge.doc", FileMode.Open, FileAccess.Read))
{
    MailMergerContext mailMergerContext = new MailMergerContext();
    mailMergerContext.SetRegionsDataSource(dataTable);
    mailMergerContext.MailMergeOptions.TrimWhitespaces = true;

    using (FileStream streamOut = new FileStream(ArtifactsDir + "LowCode.MailMergeContextStreamWithRegionsDataTable.docx", FileMode.Create, FileAccess.ReadWrite))
        MailMerger.Create(mailMergerContext)
            .From(streamIn)
            .To(streamOut, SaveFormat.Docx)
            .Execute();
}

展示如何使用上下文从数据集进行区域邮件合并操作。

// 有几种方法可以通过 DataSet 进行区域邮件合并操作:
string doc = MyDir + "Mail merge with regions data set.docx";

DataTable tableCustomers = new DataTable("Customers");
tableCustomers.Columns.Add("CustomerID");
tableCustomers.Columns.Add("CustomerName");
tableCustomers.Rows.Add(new object[] { 1, "John Doe" });
tableCustomers.Rows.Add(new object[] { 2, "Jane Doe" });

DataTable tableOrders = new DataTable("Orders");
tableOrders.Columns.Add("CustomerID");
tableOrders.Columns.Add("ItemName");
tableOrders.Columns.Add("Quantity");
tableOrders.Rows.Add(new object[] { 1, "Hawaiian", 2 });
tableOrders.Rows.Add(new object[] { 2, "Pepperoni", 1 });
tableOrders.Rows.Add(new object[] { 2, "Chicago", 1 });

DataSet dataSet = new DataSet();
dataSet.Tables.Add(tableCustomers);
dataSet.Tables.Add(tableOrders);
dataSet.Relations.Add(tableCustomers.Columns["CustomerID"], tableOrders.Columns["CustomerID"]);

MailMergerContext mailMergerContext = new MailMergerContext();
mailMergerContext.SetRegionsDataSource(dataSet);
mailMergerContext.MailMergeOptions.TrimWhitespaces = true;

MailMerger.Create(mailMergerContext)
    .From(doc)
    .To(ArtifactsDir + "LowCode.MailMergeContextWithRegionsDataTable.docx")
    .Execute();

展示如何使用来自流的文档通过上下文从 DataSet 执行带有区域操作的邮件合并。

// 有几种方法可以使用来自流的文档从 DataSet 进行区域邮件合并操作:
DataTable tableCustomers = new DataTable("Customers");
tableCustomers.Columns.Add("CustomerID");
tableCustomers.Columns.Add("CustomerName");
tableCustomers.Rows.Add(new object[] { 1, "John Doe" });
tableCustomers.Rows.Add(new object[] { 2, "Jane Doe" });

DataTable tableOrders = new DataTable("Orders");
tableOrders.Columns.Add("CustomerID");
tableOrders.Columns.Add("ItemName");
tableOrders.Columns.Add("Quantity");
tableOrders.Rows.Add(new object[] { 1, "Hawaiian", 2 });
tableOrders.Rows.Add(new object[] { 2, "Pepperoni", 1 });
tableOrders.Rows.Add(new object[] { 2, "Chicago", 1 });

DataSet dataSet = new DataSet();
dataSet.Tables.Add(tableCustomers);
dataSet.Tables.Add(tableOrders);
dataSet.Relations.Add(tableCustomers.Columns["CustomerID"], tableOrders.Columns["CustomerID"]);

using (FileStream streamIn = new FileStream(MyDir + "Mail merge.doc", FileMode.Open, FileAccess.Read))
{
    MailMergerContext mailMergerContext = new MailMergerContext();
    mailMergerContext.SetRegionsDataSource(dataSet);
    mailMergerContext.MailMergeOptions.TrimWhitespaces = true;

    using (FileStream streamOut = new FileStream(ArtifactsDir + "LowCode.MailMergeContextStreamWithRegionsDataSet.docx", FileMode.Create, FileAccess.ReadWrite))
        MailMerger.Create(mailMergerContext)
        .From(streamIn)
        .To(streamOut, SaveFormat.Docx)
        .Execute();
}

也可以看看