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for header in headers: if header not in popular_headers: print header + ':', msg[header] print banner for header in headers: if header in popular_headers: print header + ':', msg[header] print banner if msg.is_multipart(): print "This program cannot handle MIME multipart messages." else: print msg.get_payload() Like many e-mail clients, this parser distinguishes between the few e-mail headers that users are actually likely to want visible like From and Subject and the passel of additional headers that are less likely to interest them. If you save the e-mail shown in Listing 12 5 as message.txt, for example, then running trad_parse.py will result in the output shown in Listing 12 7. Listing 12 7. The Output of Our E-mail Parser $ ./trad_parse.py -----------------------------------------------Message-ID: <20100802140555.11734.89229@guinness.ten22> -----------------------------------------------Date: Mon, 02 Aug 2010 10:05:55 -0400 From: Test Sender <sender@example.com> Subject: Test Message, 12 To: recipient@example.com -----------------------------------------------Hello, This is a test message from 12. -- Anonymous Here, the unpopular Message-ID header, which most users just want hidden, is shown first. Then, the headers actually of interest to the user are printed. Finally, the body of the e-mail message is displayed on the screen. As you can see, the Python Standard Library makes it quite easy both to create and then to parse standard Internet e-mail messages! Note that the email package also offers a message_from_string() function that, instead of taking a file, can simply be handed the string containing an e-mail message. I hope you enjoy it!

The email package provides two functions that work together as a team to help you parse the Date field of e-mail messages, whose format you can see in the preceding example: a date and time, followed by a time zone expressed as hours and minutes (two digits each) relative to UTC. Countries in the eastern hemisphere experience sunrise early, so their time zones are expressed as positive numbers, like the following: Date: Sun, 27 May 2007 11:34:43 +1000 Those of us in the western hemisphere have to wait longer for the sun to rise, so our time zones lag behind; Eastern Daylight Time, for example, runs four hours behind UTC:

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If activity IsNot Nothing Then If String.IsNullOrEmpty(activity.ConnectionString) Then Errors.Add(New ValidationError("No connection string provided",1)) End If If String.IsNullOrEmpty(activity.SQLStatement) Then Errors.Add(New ValidationError("No SQL Statment provided", 1)) End If If Errors.HasErrors Then Dim ErrorsMessage As String = String.Empty For Each validationError As ValidationError In Errors ErrorsMessage = ErrorsMessage + String.Format("Validation error: Number{0}-'{1} ", _ validationError.ErrorNumber, validationError.ErrorText) Next Throw New InvalidOperationException(ErrorsMessage) End If End If Return Errors End Function End Class Add <ActivityValidator(GetType(ExecuteSQLValidator))> _ above the class declaration for ExecuteSQL: <ActivityValidator(GetType(ExecuteSQLValidator))> _ Public Class ExecuteSQL Inherits System.Workflow.ComponentModel.Activity Finally, you must override the Execute function within the ExecuteSQL activity. Add this line to the end of the ExecuteSQL code page: Protected Overrides Function Execute(ByVal context As ActivityExecutionContext) As ActivityExecutionStatus Because this activity deals with data, you need to import the Data namespace. Add the import line (Imports System.Data.SqlClient) above the ActivityValidator line added earlier: Imports System.Data.SqlClient <ActivityValidator(GetType(ExecuteSQLValidator))> _ Public Class ExecuteSQL Inherits System.Workflow.ComponentModel.Activity Now add code to the Execute overridden function to execute the SQL Statement property: Protected Overrides Function Execute(ByVal context As ActivityExecutionContext) As ActivityExecutionStatus Dim Local_Conn As New SqlConnection Dim Local_Comm As New SqlCommand Dim Local_NumberReturned As Long Try

Summary

Date: Sun, 27 May 2007 08:36:37 -0400 Although the email.utils module provides a bare parsedate() function that will extract the components of the date in the usual Python order (starting with the year and going down through smaller increments of time), this is normally not what you want, because it omits the time zone, which you need to consider if you want dates that you can really compare (because, for example, you want to display e-mail messages in order they were written!). To figure out what moment of time is really meant by a Date header, simply call two functions in a row: Call parsedate_tz() to extract the time and time zone. Use mktime_tz() to add or subtract the time zone. The result with be a standard Unix timestamp.

For example, consider the two Date headers shown previously If you just compared their bare times, the first date looks later: 11:34 am is, after all, after 8:36 am But the second time is in fact the much later one, because it is expressed in a time zone that is so much farther west We can test this by using the functions previously named First, turn the top date into a timestamp: >>> from emailutils import parsedate_tz, mktime_tz >>> timetuple1 = parsedate_tz('Sun, 27 May 2007 11:34:43 +1000') >>> print timetuple1 (2007, 5, 27, 11, 34, 43, 0, 1, -1, 36000) >>> timestamp1 = mktime_tz(timetuple1) >>> print timestamp1 11802296830 Then turn the second date into a timestamp as well, and the dates can be compared directly: >>> timetuple2 = parsedate_tz('Sun, 27 May 2007 08:36:37 -0400') >>> timestamp2 = mktime_tz(timetuple2) >>> print timestamp2 1180269397.

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