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  • Node.js Adventure - When Node Flying in Wind

    - by Shaun
    In the first post of this series I mentioned some popular modules in the community, such as underscore, async, etc.. I also listed a module named “Wind (zh-CN)”, which is created by one of my friend, Jeff Zhao (zh-CN). Now I would like to use a separated post to introduce this module since I feel it brings a new async programming style in not only Node.js but JavaScript world. If you know or heard about the new feature in C# 5.0 called “async and await”, or you learnt F#, you will find the “Wind” brings the similar async programming experience in JavaScript. By using “Wind”, we can write async code that looks like the sync code. The callbacks, async stats and exceptions will be handled by “Wind” automatically and transparently.   What’s the Problem: Dense “Callback” Phobia Let’s firstly back to my second post in this series. As I mentioned in that post, when we wanted to read some records from SQL Server we need to open the database connection, and then execute the query. In Node.js all IO operation are designed as async callback pattern which means when the operation was done, it will invoke a function which was taken from the last parameter. For example the database connection opening code would be like this. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: } 8: }); And then if we need to query the database the code would be like this. It nested in the previous function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: } 14: }; 15: } 16: }); Assuming if we need to copy some data from this database to another then we need to open another connection and execute the command within the function under the query function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: target.open(targetConnectionString, function(error, t_conn) { 14: if(error) { 15: // connect failed 16: } 17: else { 18: t_conn.queryRaw(copy_command, function(error, results) { 19: if(error) { 20: // copy failed 21: } 22: else { 23: // and then, what do you want to do now... 24: } 25: }; 26: } 27: }; 28: } 29: }; 30: } 31: }); This is just an example. In the real project the logic would be more complicated. This means our application might be messed up and the business process will be fragged by many callback functions. I would like call this “Dense Callback Phobia”. This might be a challenge how to make code straightforward and easy to read, something like below. 1: try 2: { 3: // open source connection 4: var s_conn = sqlConnect(s_connectionString); 5: // retrieve data 6: var results = sqlExecuteCommand(s_conn, s_command); 7: 8: // open target connection 9: var t_conn = sqlConnect(t_connectionString); 10: // prepare the copy command 11: var t_command = getCopyCommand(results); 12: // execute the copy command 13: sqlExecuteCommand(s_conn, t_command); 14: } 15: catch (ex) 16: { 17: // error handling 18: }   What’s the Problem: Sync-styled Async Programming Similar as the previous problem, the callback-styled async programming model makes the upcoming operation as a part of the current operation, and mixed with the error handling code. So it’s very hard to understand what on earth this code will do. And since Node.js utilizes non-blocking IO mode, we cannot invoke those operations one by one, as they will be executed concurrently. For example, in this post when I tried to copy the records from Windows Azure SQL Database (a.k.a. WASD) to Windows Azure Table Storage, if I just insert the data into table storage one by one and then print the “Finished” message, I will see the message shown before the data had been copied. This is because all operations were executed at the same time. In order to make the copy operation and print operation executed synchronously I introduced a module named “async” and the code was changed as below. 1: async.forEach(results.rows, 2: function (row, callback) { 3: var resource = { 4: "PartitionKey": row[1], 5: "RowKey": row[0], 6: "Value": row[2] 7: }; 8: client.insertEntity(tableName, resource, function (error) { 9: if (error) { 10: callback(error); 11: } 12: else { 13: console.log("entity inserted."); 14: callback(null); 15: } 16: }); 17: }, 18: function (error) { 19: if (error) { 20: error["target"] = "insertEntity"; 21: res.send(500, error); 22: } 23: else { 24: console.log("all done."); 25: res.send(200, "Done!"); 26: } 27: }); It ensured that the “Finished” message will be printed when all table entities had been inserted. But it cannot promise that the records will be inserted in sequence. It might be another challenge to make the code looks like in sync-style? 1: try 2: { 3: forEach(row in rows) { 4: var entity = { /* ... */ }; 5: tableClient.insert(tableName, entity); 6: } 7:  8: console.log("Finished"); 9: } 10: catch (ex) { 11: console.log(ex); 12: }   How “Wind” Helps “Wind” is a JavaScript library which provides the control flow with plain JavaScript for asynchronous programming (and more) without additional pre-compiling steps. It’s available in NPM so that we can install it through “npm install wind”. Now let’s create a very simple Node.js application as the example. This application will take some website URLs from the command arguments and tried to retrieve the body length and print them in console. Then at the end print “Finish”. I’m going to use “request” module to make the HTTP call simple so I also need to install by the command “npm install request”. The code would be like this. 1: var request = require("request"); 2:  3: // get the urls from arguments, the first two arguments are `node.exe` and `fetch.js` 4: var args = process.argv.splice(2); 5:  6: // main function 7: var main = function() { 8: for(var i = 0; i < args.length; i++) { 9: // get the url 10: var url = args[i]; 11: // send the http request and try to get the response and body 12: request(url, function(error, response, body) { 13: if(!error && response.statusCode == 200) { 14: // log the url and the body length 15: console.log( 16: "%s: %d.", 17: response.request.uri.href, 18: body.length); 19: } 20: else { 21: // log error 22: console.log(error); 23: } 24: }); 25: } 26: 27: // finished 28: console.log("Finished"); 29: }; 30:  31: // execute the main function 32: main(); Let’s execute this application. (I made them in multi-lines for better reading.) 1: node fetch.js 2: "http://www.igt.com/us-en.aspx" 3: "http://www.igt.com/us-en/games.aspx" 4: "http://www.igt.com/us-en/cabinets.aspx" 5: "http://www.igt.com/us-en/systems.aspx" 6: "http://www.igt.com/us-en/interactive.aspx" 7: "http://www.igt.com/us-en/social-gaming.aspx" 8: "http://www.igt.com/support.aspx" Below is the output. As you can see the finish message was printed at the beginning, and the pages’ length retrieved in a different order than we specified. This is because in this code the request command, console logging command are executed asynchronously and concurrently. Now let’s introduce “Wind” to make them executed in order, which means it will request the websites one by one, and print the message at the end.   First of all we need to import the “Wind” package and make sure the there’s only one global variant named “Wind”, and ensure it’s “Wind” instead of “wind”. 1: var Wind = require("wind");   Next, we need to tell “Wind” which code will be executed asynchronously so that “Wind” can control the execution process. In this case the “request” operation executed asynchronously so we will create a “Task” by using a build-in helps function in “Wind” named Wind.Async.Task.create. 1: var requestBodyLengthAsync = function(url) { 2: return Wind.Async.Task.create(function(t) { 3: request(url, function(error, response, body) { 4: if(error || response.statusCode != 200) { 5: t.complete("failure", error); 6: } 7: else { 8: var data = 9: { 10: uri: response.request.uri.href, 11: length: body.length 12: }; 13: t.complete("success", data); 14: } 15: }); 16: }); 17: }; The code above created a “Task” from the original request calling code. In “Wind” a “Task” means an operation will be finished in some time in the future. A “Task” can be started by invoke its start() method, but no one knows when it actually will be finished. The Wind.Async.Task.create helped us to create a task. The only parameter is a function where we can put the actual operation in, and then notify the task object it’s finished successfully or failed by using the complete() method. In the code above I invoked the request method. If it retrieved the response successfully I set the status of this task as “success” with the URL and body length. If it failed I set this task as “failure” and pass the error out.   Next, we will change the main() function. In “Wind” if we want a function can be controlled by Wind we need to mark it as “async”. This should be done by using the code below. 1: var main = eval(Wind.compile("async", function() { 2: })); When the application is running, Wind will detect “eval(Wind.compile(“async”, function” and generate an anonymous code from the body of this original function. Then the application will run the anonymous code instead of the original one. In our example the main function will be like this. 1: var main = eval(Wind.compile("async", function() { 2: for(var i = 0; i < args.length; i++) { 3: try 4: { 5: var result = $await(requestBodyLengthAsync(args[i])); 6: console.log( 7: "%s: %d.", 8: result.uri, 9: result.length); 10: } 11: catch (ex) { 12: console.log(ex); 13: } 14: } 15: 16: console.log("Finished"); 17: })); As you can see, when I tried to request the URL I use a new command named “$await”. It tells Wind, the operation next to $await will be executed asynchronously, and the main thread should be paused until it finished (or failed). So in this case, my application will be pause when the first response was received, and then print its body length, then try the next one. At the end, print the finish message.   Finally, execute the main function. The full code would be like this. 1: var request = require("request"); 2: var Wind = require("wind"); 3:  4: var args = process.argv.splice(2); 5:  6: var requestBodyLengthAsync = function(url) { 7: return Wind.Async.Task.create(function(t) { 8: request(url, function(error, response, body) { 9: if(error || response.statusCode != 200) { 10: t.complete("failure", error); 11: } 12: else { 13: var data = 14: { 15: uri: response.request.uri.href, 16: length: body.length 17: }; 18: t.complete("success", data); 19: } 20: }); 21: }); 22: }; 23:  24: var main = eval(Wind.compile("async", function() { 25: for(var i = 0; i < args.length; i++) { 26: try 27: { 28: var result = $await(requestBodyLengthAsync(args[i])); 29: console.log( 30: "%s: %d.", 31: result.uri, 32: result.length); 33: } 34: catch (ex) { 35: console.log(ex); 36: } 37: } 38: 39: console.log("Finished"); 40: })); 41:  42: main().start();   Run our new application. At the beginning we will see the compiled and generated code by Wind. Then we can see the pages were requested one by one, and at the end the finish message was printed. Below is the code Wind generated for us. As you can see the original code, the output code were shown. 1: // Original: 2: function () { 3: for(var i = 0; i < args.length; i++) { 4: try 5: { 6: var result = $await(requestBodyLengthAsync(args[i])); 7: console.log( 8: "%s: %d.", 9: result.uri, 10: result.length); 11: } 12: catch (ex) { 13: console.log(ex); 14: } 15: } 16: 17: console.log("Finished"); 18: } 19:  20: // Compiled: 21: /* async << function () { */ (function () { 22: var _builder_$0 = Wind.builders["async"]; 23: return _builder_$0.Start(this, 24: _builder_$0.Combine( 25: _builder_$0.Delay(function () { 26: /* var i = 0; */ var i = 0; 27: /* for ( */ return _builder_$0.For(function () { 28: /* ; i < args.length */ return i < args.length; 29: }, function () { 30: /* ; i ++) { */ i ++; 31: }, 32: /* try { */ _builder_$0.Try( 33: _builder_$0.Delay(function () { 34: /* var result = $await(requestBodyLengthAsync(args[i])); */ return _builder_$0.Bind(requestBodyLengthAsync(args[i]), function (result) { 35: /* console.log("%s: %d.", result.uri, result.length); */ console.log("%s: %d.", result.uri, result.length); 36: return _builder_$0.Normal(); 37: }); 38: }), 39: /* } catch (ex) { */ function (ex) { 40: /* console.log(ex); */ console.log(ex); 41: return _builder_$0.Normal(); 42: /* } */ }, 43: null 44: ) 45: /* } */ ); 46: }), 47: _builder_$0.Delay(function () { 48: /* console.log("Finished"); */ console.log("Finished"); 49: return _builder_$0.Normal(); 50: }) 51: ) 52: ); 53: /* } */ })   How Wind Works Someone may raise a big concern when you find I utilized “eval” in my code. Someone may assume that Wind utilizes “eval” to execute some code dynamically while “eval” is very low performance. But I would say, Wind does NOT use “eval” to run the code. It only use “eval” as a flag to know which code should be compiled at runtime. When the code was firstly been executed, Wind will check and find “eval(Wind.compile(“async”, function”. So that it knows this function should be compiled. Then it utilized parse-js to analyze the inner JavaScript and generated the anonymous code in memory. Then it rewrite the original code so that when the application was running it will use the anonymous one instead of the original one. Since the code generation was done at the beginning of the application was started, in the future no matter how long our application runs and how many times the async function was invoked, it will use the generated code, no need to generate again. So there’s no significant performance hurt when using Wind.   Wind in My Previous Demo Let’s adopt Wind into one of my previous demonstration and to see how it helps us to make our code simple, straightforward and easy to read and understand. In this post when I implemented the functionality that copied the records from my WASD to table storage, the logic would be like this. 1, Open database connection. 2, Execute a query to select all records from the table. 3, Recreate the table in Windows Azure table storage. 4, Create entities from each of the records retrieved previously, and then insert them into table storage. 5, Finally, show message as the HTTP response. But as the image below, since there are so many callbacks and async operations, it’s very hard to understand my logic from the code. Now let’s use Wind to rewrite our code. First of all, of course, we need the Wind package. Then we need to include the package files into project and mark them as “Copy always”. Add the Wind package into the source code. Pay attention to the variant name, you must use “Wind” instead of “wind”. 1: var express = require("express"); 2: var async = require("async"); 3: var sql = require("node-sqlserver"); 4: var azure = require("azure"); 5: var Wind = require("wind"); Now we need to create some async functions by using Wind. All async functions should be wrapped so that it can be controlled by Wind which are open database, retrieve records, recreate table (delete and create) and insert entity in table. Below are these new functions. All of them are created by using Wind.Async.Task.create. 1: sql.openAsync = function (connectionString) { 2: return Wind.Async.Task.create(function (t) { 3: sql.open(connectionString, function (error, conn) { 4: if (error) { 5: t.complete("failure", error); 6: } 7: else { 8: t.complete("success", conn); 9: } 10: }); 11: }); 12: }; 13:  14: sql.queryAsync = function (conn, query) { 15: return Wind.Async.Task.create(function (t) { 16: conn.queryRaw(query, function (error, results) { 17: if (error) { 18: t.complete("failure", error); 19: } 20: else { 21: t.complete("success", results); 22: } 23: }); 24: }); 25: }; 26:  27: azure.recreateTableAsync = function (tableName) { 28: return Wind.Async.Task.create(function (t) { 29: client.deleteTable(tableName, function (error, successful, response) { 30: console.log("delete table finished"); 31: client.createTableIfNotExists(tableName, function (error, successful, response) { 32: console.log("create table finished"); 33: if (error) { 34: t.complete("failure", error); 35: } 36: else { 37: t.complete("success", null); 38: } 39: }); 40: }); 41: }); 42: }; 43:  44: azure.insertEntityAsync = function (tableName, entity) { 45: return Wind.Async.Task.create(function (t) { 46: client.insertEntity(tableName, entity, function (error, entity, response) { 47: if (error) { 48: t.complete("failure", error); 49: } 50: else { 51: t.complete("success", null); 52: } 53: }); 54: }); 55: }; Then in order to use these functions we will create a new function which contains all steps for data copying. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: } 4: catch (ex) { 5: console.log(ex); 6: res.send(500, "Internal error."); 7: } 8: })); Let’s execute steps one by one with the “$await” keyword introduced by Wind so that it will be invoked in sequence. First is to open the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: } 7: catch (ex) { 8: console.log(ex); 9: res.send(500, "Internal error."); 10: } 11: })); Then retrieve all records from the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: } 10: catch (ex) { 11: console.log(ex); 12: res.send(500, "Internal error."); 13: } 14: })); After recreated the table, we need to create the entities and insert them into table storage. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: } 24: } 25: catch (ex) { 26: console.log(ex); 27: res.send(500, "Internal error."); 28: } 29: })); Finally, send response back to the browser. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: // send response 24: console.log("all done"); 25: res.send(200, "All done!"); 26: } 27: } 28: catch (ex) { 29: console.log(ex); 30: res.send(500, "Internal error."); 31: } 32: })); If we compared with the previous code we will find now it became more readable and much easy to understand. It’s very easy to know what this function does even though without any comments. When user go to URL “/was/copyRecords” we will execute the function above. The code would be like this. 1: app.get("/was/copyRecords", function (req, res) { 2: copyRecords(req, res).start(); 3: }); And below is the logs printed in local compute emulator console. As we can see the functions executed one by one and then finally the response back to me browser.   Scaffold Functions in Wind Wind provides not only the async flow control and compile functions, but many scaffold methods as well. We can build our async code more easily by using them. I’m going to introduce some basic scaffold functions here. In the code above I created some functions which wrapped from the original async function such as open database, create table, etc.. All of them are very similar, created a task by using Wind.Async.Task.create, return error or result object through Task.complete function. In fact, Wind provides some functions for us to create task object from the original async functions. If the original async function only has a callback parameter, we can use Wind.Async.Binding.fromCallback method to get the task object directly. For example the code below returned the task object which wrapped the file exist check function. 1: var Wind = require("wind"); 2: var fs = require("fs"); 3:  4: fs.existsAsync = Wind.Async.Binding.fromCallback(fs.exists); In Node.js a very popular async function pattern is that, the first parameter in the callback function represent the error object, and the other parameters is the return values. In this case we can use another build-in function in Wind named Wind.Async.Binding.fromStandard. For example, the open database function can be created from the code below. 1: sql.openAsync = Wind.Async.Binding.fromStandard(sql.open); 2:  3: /* 4: sql.openAsync = function (connectionString) { 5: return Wind.Async.Task.create(function (t) { 6: sql.open(connectionString, function (error, conn) { 7: if (error) { 8: t.complete("failure", error); 9: } 10: else { 11: t.complete("success", conn); 12: } 13: }); 14: }); 15: }; 16: */ When I was testing the scaffold functions under Wind.Async.Binding I found for some functions, such as the Azure SDK insert entity function, cannot be processed correctly. So I personally suggest writing the wrapped method manually.   Another scaffold method in Wind is the parallel tasks coordination. In this example, the steps of open database, retrieve records and recreated table should be invoked one by one, but it can be executed in parallel when copying data from database to table storage. In Wind there’s a scaffold function named Task.whenAll which can be used here. Task.whenAll accepts a list of tasks and creates a new task. It will be returned only when all tasks had been completed, or any errors occurred. For example in the code below I used the Task.whenAll to make all copy operation executed at the same time. 1: var copyRecordsInParallel = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage in parallal 14: var tasks = new Array(results.rows.length); 15: for (var i = 0; i < results.rows.length; i++) { 16: var entity = { 17: "PartitionKey": results.rows[i][1], 18: "RowKey": results.rows[i][0], 19: "Value": results.rows[i][2] 20: }; 21: tasks[i] = azure.insertEntityAsync(tableName, entity); 22: } 23: $await(Wind.Async.Task.whenAll(tasks)); 24: // send response 25: console.log("all done"); 26: res.send(200, "All done!"); 27: } 28: } 29: catch (ex) { 30: console.log(ex); 31: res.send(500, "Internal error."); 32: } 33: })); 34:  35: app.get("/was/copyRecordsInParallel", function (req, res) { 36: copyRecordsInParallel(req, res).start(); 37: });   Besides the task creation and coordination, Wind supports the cancellation solution so that we can send the cancellation signal to the tasks. It also includes exception solution which means any exceptions will be reported to the caller function.   Summary In this post I introduced a Node.js module named Wind, which created by my friend Jeff Zhao. As you can see, different from other async library and framework, adopted the idea from F# and C#, Wind utilizes runtime code generation technology to make it more easily to write async, callback-based functions in a sync-style way. By using Wind there will be almost no callback, and the code will be very easy to understand. Currently Wind is still under developed and improved. There might be some problems but the author, Jeff, should be very happy and enthusiastic to learn your problems, feedback, suggestion and comments. You can contact Jeff by - Email: [email protected] - Group: https://groups.google.com/d/forum/windjs - GitHub: https://github.com/JeffreyZhao/wind/issues   Source code can be download here.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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  • Workflow 4.0 code activities calling other activites (persist, delay etc)

    - by Lygpt
    I have a bunch of Workflow foundation 4.0 RC code activities that consume web services and talk to databases that I want to add some error handling in. I would really like to be able to attempt to call my web service / db, catch any faults such as a communication failure and then retry the same operation in 1 hours time (after I have logged the exception). Is there a way of doing something like this? protected override void Execute(CodeActivityContext context) { Persist(); // I would like to invoke the persist activity like this if (!AttemptServiceCall()) { // I would like to invoke a delay activity like this Delay(new TimeSpan(0, 30, 0)); // wait 30 mins before trying again Execute(context); // call this activity again } } private bool AttemptServiceCall() { bool serviceCallSuccessful = true; try { myService.InvokeSomeMethod(); } catch (CommunicationException ex) { myEventLogger.Log(ex); serviceCallSuccessful = false; } return serviceCallSuccessful; }

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  • Need help with workflow in Alfresco

    - by Scott Gartner
    Hello SO community, I haven't had any luck getting help in the Alfresco forums, and I'm hoping for more here. We are building an application based on Alfresco and jBPM and I have defined a workflow, but I have either defined it wrong or am missing something or there are bugs in Alfresco integration with jBPM and I need help figuring out which and fixing it. Here is the problem: I have an advanced workflow and I am trying to launch it from JavaScript. Here is the code I'm using to start the workflow: var nodeId = args.nodeid; var document = search.findNode("workspace://SpacesStore/" + nodeId); var workflowAction = actions.create("start-workflow"); workflowAction.parameters.workflowName = "jbpm$nmwf:MyWorkflow"; workflowAction.parameters["bpm:workflowDescription"] = "Please edit: " + document.name; workflowAction.parameters["bpm:assignees"] = [people.getPerson("admin"), people.getPerson("andyg")]; var futureDate = new Date(); futureDate.setDate(futureDate.getDate() + 7); workflowAction.parameters["bpm:workflowDueDate"] = futureDate; workflowAction.execute(document); This runs fine and e-mail sent from the start node's default transition fires just fine. However, when I go looking for the workflow in my task list it is not there, but it is in my completed task list. The default transition (the only transition) from the start node points at a task node which has four transitions. There are 8 tasks and 22 transitions in the workflow. When I use the workflow console to start the workflow and end the start task, it properly follows the default start node transition to the next task. The new task shows up in "show tasks" but does not show up in "show my tasks" (apparently because the task was marked completed for some reason, though it is not in the "end" node). The task is: task id: jbpm$111 , name: nmwf:submitInEditing , properties: 18 If I do "show transitions" it looks just as I would expect: path: jbpm$62-@ , node: In Editing , active: true task id: jbpm$111 , name: nmwf:submitInEditing, title: submitInEditing title , desc: submitInEditing description , properties: 18 transition id: Submit for Approval , title: Submit for Approval transition id: Request Copyediting Review , title: Request Copyediting Review transition id: Request Legal Review , title: Request Legal Review transition id: Request Review , title: Request Review I don't want to post the entire workflow as it's large, but here are the first two nodes: First the swimlanes: <swimlane name="initiator"></swimlane> <swimlane name="Content Providers"> <assignment actor-id="Content Providers"> <actor>#{bpm_assignees}</actor> </assignment> </swimlane> Now the nodes: <start-state name="start"> <task name="nmwf:submitTask" swimlane="initiator"/> <transition name="" to="In Editing"> <action> <runas>admin</runas> <script> /* Code to send e-mail that a new workflow was started. I get this e-mail. */ </script> </action> </transition> </start-state> <task-node name="In Editing"> <task name="nmwf:submitInEditing" swimlane="Content Providers" /> <!-- I put e-mail sending code in each of these transitions, but none are firing. --> <transition to="In Approval" name="Submit for Approval"></transition> <transition to="In Copyediting" name="Request Copyediting Review"></transition> <transition to="In Legal Review" name="Request Legal Review"></transition> <transition to="In Review" name="Request Review"></transition> </task-node> Here is the model for these two nodes: <type name="nmwf:submitTask"> <parent>bpm:startTask</parent> <mandatory-aspects> <aspect>bpm:assignees</aspect> </mandatory-aspects> </type> <type name="nmwf:submitInEditing"> <parent>bpm:workflowTask</parent> <mandatory-aspects> <aspect>bpm:assignees</aspect> </mandatory-aspects> </type> Here is a pseudo-log of running the workflow in the workflow console: :: deploy alfresco/extension/workflow/processdefinition.xml deployed definition id: jbpm$69 , name: jbpm$nmwf:MyWorkflow , title: nmwf:MyWorkflow , version: 28 :: var bpm:assignees* person admin,andyg set var {http://www.alfresco.org/model/bpm/1.0}assignees = [workspace://SpacesStore/73cf1b28-21aa-40ca-9dde-1cff492d0268, workspace://SpacesStore/03297e91-0b89-4db6-b764-5ada2d167424] :: var bpm:package package 1 set var {http://www.alfresco.org/model/bpm/1.0}package = workspace://SpacesStore/6e2bbbbd-b728-4403-be37-dfce55a83641 :: start bpm:assignees bpm:package started workflow id: jbpm$63 , def: nmwf:MyWorkflow path: jbpm$63-@ , node: start , active: true task id: jbpm$112 , name: nmwf:submitTask, title: submitTask title , desc: submitTask description , properties: 16 transition id: [default] , title: Task Done :: show transitions path: jbpm$63-@ , node: start , active: true task id: jbpm$112 , name: nmwf:submitTask, title: submitTask title , desc: submitTask description , properties: 17 transition id: [default] , title: Task Done :: end task jbpm$112 signal sent - path id: jbpm$63-@ path: jbpm$63-@ , node: In Editing , active: true task id: jbpm$113 , name: nmwf:submitInEditing, title: submitInEditing title , desc: submitInEditing description , properties: 17 transition id: Submit for Approval , title: Submit for Approval transition id: Request Copyediting Review , title: Request Copyediting Review transition id: Request Legal Review , title: Request Legal Review transition id: Request Review , title: Request Review :: show tasks task id: jbpm$113 , name: nmwf:submitInEditing , properties: 18 :: show my tasks admin: [there is no output here] I have been making the assumption that the bpm:assignees that I am setting before starting the workflow initially are getting passed to the first task node "In Editing". Clearly the assignees are on the task object and not on the workflow object. I added the assignees aspect to the start-state task so that it could hold them (after I had a problem; initially they were not there) and possibly they are still sitting there, but the start-state has ended before I even get control back from the web script (not that it would help if it wasn't ended, I need it to be in "In Editing" as the start-state is only used to log that the workflow was started). It has always confused me that the properties that I need to set on each task need to be requested before the task is entered (when you choose a transition you must provide the data for the next task before you can actually move to the next task as you have to validate that you have all of the required data first and then signal the transition). However, the code to start the workflow is asynchronous and therefore does not return either the started workflow or the current task (which in my case would be "In Editing"). So, either way you cannot set variables such as bpm:assignees and bpm:dueDate. I wonder if this is the problem with the user task list. I'm setting the assignees in the property list, but maybe those assignees are going to the start-state task and are not getting passed to the "In Editing" task? Note that this is my first jBPM workflow, so please don't assume I know what I'm doing. If you see something that looks off, it probably is and I just don't know it. Thanks in advance for any advice or help,

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  • WF -- how do I use a custom activity without creating it in a separate Workflow Activity Library?

    - by Kevin Craft
    I am trying to accomplish something that seems like it should be very simple. I have a State Machine Workflow Console Application with a workflow in it. I have created a custom activity for it. This activity will NEVER be used ANYWHERE ELSE. I just want to use this activity on my workflow, but: It does not appear in the toolbox. I cannot drag it from the Solution Explorer onto the workflow designer. I absolutely do not want to create a separate State Machine Workflow Activity Library, since that will just clutter my solution. Like I said, I will never use this activity in any other project, so I would like to keep it confined to this one...but I just can't figure out how to get it onto the designer! Am I going crazy!? Here is the code for the activity: public partial class GameSearchActivity: Activity { public GameSearchActivity() { InitializeComponent(); } public static DependencyProperty QueryProperty = System.Workflow.ComponentModel.DependencyProperty.Register("Query", typeof(string), typeof(GameSearchActivity)); [Description("Query")] [Category("Dependency Properties")] [Browsable(true)] [DesignerSerializationVisibility(DesignerSerializationVisibility.Visible)] public string Query { get { return ((string)(base.GetValue(GameSearchActivity.QueryProperty))); } set { base.SetValue(GameSearchActivity.QueryProperty, value); } } public static DependencyProperty ResultsProperty = System.Workflow.ComponentModel.DependencyProperty.Register("Results", typeof(string), typeof(GameSearchActivity)); [Description("Results")] [Category("Dependency Properties")] [Browsable(true)] [DesignerSerializationVisibility(DesignerSerializationVisibility.Visible)] public IEnumerable<Game_GamePlatform> Results { get { return ((IEnumerable<Game_GamePlatform>)(base.GetValue(GameSearchActivity.ResultsProperty))); } set { base.SetValue(GameSearchActivity.ResultsProperty, value); } } protected override ActivityExecutionStatus Execute(ActivityExecutionContext executionContext) { IDataService ds = executionContext.GetService<IDataService>(); Results = ds.SearchGames(Query); return ActivityExecutionStatus.Closed; } } Thanks. EDIT: OK, so I've discovered that if I change the project type from Console Application to Class Library, the custom activity appears in the toolbox. However, this is not acceptable. It needs to be a Console/Windows Application. Anyone know a way around this?

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  • What is the right pattern for a async data fetching method in .net async/await

    - by s093294
    Given a class with a method GetData. A few other clients call GetData, and instead of it fetching data each time, i would like to create a pattern where the first call starts the task to get the data, and the rest of the calls wait for the task to complete. private Task<string> _data; private async Task<string> _getdata() { return "my random data from the net"; //get_data_from_net() } public string GetData() { if(_data==null) _data=_getdata(); _data.wait(); //are there not a problem here. cant wait a task that is already completed ? if(_data.status != rantocompletion) _data.wait() is not any better, it might complete between the check and the _data.wait? return _data.Result; } How would i do the pattern correctly? (Solution) private static object _servertime_lock = new object(); private static Task<string> _servertime; private static async Task<string> servertime() { try { var thetvdb = new HttpClient(); thetvdb.Timeout = TimeSpan.FromSeconds(5); // var st = await thetvdb.GetStreamAsync("http://www.thetvdb.com/api/Updates.php?type=none"); var response = await thetvdb.GetAsync("http://www.thetvdb.com/api/Updates.php?type=none"); response.EnsureSuccessStatusCode(); Stream stream = await response.Content.ReadAsStreamAsync(); XDocument xdoc = XDocument.Load(stream); return xdoc.Descendants("Time").First().Value; } catch { return null; } } public static async Task<string> GetServerTime() { lock (_servertime_lock) { if (_servertime == null) _servertime = servertime(); } var time = await _servertime; if (time == null) _servertime = null; return time; }

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  • github like workflow on private server over ssh

    - by Jesse
    I have an server (available via ssh) on the internet that my friend and I use for working on projects together. We have started using git for source control. Our setup currently is as follows: Friend created repository on server with git init named project.friend.git I cloned project.friend.git on server to project.jesse.git I then cloned project.jesse.git on server to my local machine using git clone jesse@server:/git_repos/project.jesse.git I work on my local machine and commit to the local machine. When I want to push my changes to the project.jesse.git on server I use git push origin master. My friend is working on project.friend.git. When I want to get his changes I do pull jesse@server:/git_repos/project.friend.git. Everything seems to be working fine, however, I am now getting the following error when I do git push origin master: localpc:project.jesse jesse$ git push origin master Counting objects: 100, done. Delta compression using up to 2 threads. Compressing objects: 100% (76/76), done. Writing objects: 100% (76/76), 15.98 KiB, done. Total 76 (delta 50), reused 0 (delta 0) warning: updating the current branch warning: Updating the currently checked out branch may cause confusion, warning: as the index and work tree do not reflect changes that are in HEAD. warning: As a result, you may see the changes you just pushed into it warning: reverted when you run 'git diff' over there, and you may want warning: to run 'git reset --hard' before starting to work to recover. warning: warning: You can set 'receive.denyCurrentBranch' configuration variable to warning: 'refuse' in the remote repository to forbid pushing into its warning: current branch. warning: To allow pushing into the current branch, you can set it to 'ignore'; warning: but this is not recommended unless you arranged to update its work warning: tree to match what you pushed in some other way. warning: warning: To squelch this message, you can set it to 'warn'. warning: warning: Note that the default will change in a future version of git warning: to refuse updating the current branch unless you have the warning: configuration variable set to either 'ignore' or 'warn'. To jesse@server:/git_repos/project.jesse.git c455cb7..e9ec677 master -> master Is this warning anything I need to be worried about? Like I said, everything seems to be working. My friend is able to pull my changes in from my branch. I have the clone on the server so he can access it since he does not have access to my local machine. Is there something that could be done better? Thanks!

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  • workflow runtime ownership expired

    Hello all, I am facing a strange problem in windows workflow foundation, need help from you guys. I have creatd a State Machine Workflow ,it worked very fine in one build , but due to some requirements i altered workflow , build and reinstall application , but now when i am trying to access workflow instaces which i created in provious build , it give me runtime exception "This workflow is not owned by the WorkflowRuntime. The WorkflowRuntime's ownership has expired, or another WorkflowRuntime owns the workflow" please help me to resolve this problem

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  • F# Async problem.

    - by chrisdew
    Hi, I've written a dummy http server as an exercise in F#. I'm using Mono 2.4.4 on Ubuntu 10.04 x86_64, with MonoDevelop. The following code fails to compile with the error: Error FS0039: The field, constructor or member 'Spawn' is not defined (FS0039) Could someone try this in VisualStudio please, I don't know whether this is a Mono problem, or my problem. I have tried several Async examples from the F# book, and they also all produce similar messages about Async.* methods. Thanks, Chris. #light open System open System.IO open System.Threading open System.Net open System.Net.Sockets open Microsoft.FSharp.Control.CommonExtensions printfn "%s" "Hello World!" let headers = System.Text.Encoding.ASCII.GetBytes("HTTP/1.0 200 OK\r\nContent-Type: text/html; charset=UTF-8\r\nContent-Length: 37\r\nDate: Sun, 13 Jun 2010 05:30:00 GMT\r\nServer: FSC/0.0.1\r\n\r\n") let content = System.Text.Encoding.ASCII.GetBytes("<html><body>Hello World</body></html>") let serveAsync (client : TcpClient) = async { let out = client.GetStream() do! out.AsyncWrite(headers) do! Async.Sleep 3000 do! out.AsyncWrite(content) do out.Close() } let http_server (ip, port) = let server = new TcpListener(IPAddress.Parse(ip),port) server.Start() while true do let client = server.AcceptTcpClient() printfn "new client" Async.Spawn (serveAsync client) http_server ("0.0.0.0", 1234)

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  • Need help regarding Async and fsi

    - by Stringer Bell
    I'd like to write some code that runs a sequence of F# scripts (.fsx). The thing is that I could have literally hundreds of scripts and if I do that: let shellExecute program args = let startInfo = new ProcessStartInfo() do startInfo.FileName <- program do startInfo.Arguments <- args do startInfo.UseShellExecute <- true do startInfo.WindowStyle <- ProcessWindowStyle.Hidden //do printfn "%s" startInfo.Arguments let proc = Process.Start(startInfo) () scripts |> Seq.iter (shellExecute "fsi") it could stress too much my 2GB system. Anyway, I'd like to run scripts by batch of n, which seems also a good exercise for learning Async (I guess it's the way to go). I have written some code and unfortunately it doesn't work: open System.Diagnostics let p = shellExecute "fsi" @"C:\Users\Stringer\foo.fsx" async { let! exit = Async.AwaitEvent p.Exited do printfn "process has exited" } |> Async.StartImmediate foo.fsx is just a hello world script. I'd like also to figure out if it's doable to retrieve a return code for each executing script and if not, find another way. Thanks!

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  • Github Organization Repositories, Issues, Multiple Developers, and Forking - Best Workflow Practices

    - by Jim Rubenstein
    A weird title, yes, but I've got a bit of ground to cover I think. We have an organization account on github with private repositories. We want to use github's native issues/pull-requests features (pull requests are basically exactly what we want as far as code reviews and feature discussions). We found the tool hub by defunkt which has a cool little feature of being able to convert an existing issue to a pull request, and automatically associate your current branch with it. I'm wondering if it is best practice to have each developer in the organization fork the organization's repository to do their feature work/bug fixes/etc. This seems like a pretty solid work flow (as, it's basically what every open source project on github does) but we want to be sure that we can track issues and pull requests from ONE source, the organization's repository. So I have a few questions: Is a fork-per-developer approach appropriate in this case? It seems like it could be a little overkill. I'm not sure that we need a fork for every developer, unless we introduce developers who don't have direct push access and need all their code reviewed. In which case, we would want to institute a policy like that, for those developers only. So, which is better? All developers in a single repository, or a fork for everyone? Does anyone have experience with the hub tool, specifically the pull-request feature? If we do a fork-per-developer (or even for less-privileged devs) will the pull-request feature of hub operate on the pull requests from the upstream master repository (the organization's repository?) or does it have different behavior? EDIT I did some testing with issues, forks, and pull requests and found that. If you create an issue on your organization's repository, then fork the repository from your organization to your own github account, do some changes, merge to your fork's master branch. When you try to run hub -i <issue #> you get an error, User is not authorized to modify the issue. So, apparently that work flow won't work.

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  • Asynchrony in C# 5 (Part I)

    - by javarg
    I’ve been playing around with the new Async CTP preview available for download from Microsoft. It’s amazing how language trends are influencing the evolution of Microsoft’s developing platform. Much effort is being done at language level today than previous versions of .NET. In these post series I’ll review some major features contained in this release: Asynchronous functions TPL Dataflow Task based asynchronous Pattern Part I: Asynchronous Functions This is a mean of expressing asynchronous operations. This kind of functions must return void or Task/Task<> (functions returning void let us implement Fire & Forget asynchronous operations). The two new keywords introduced are async and await. async: marks a function as asynchronous, indicating that some part of its execution may take place some time later (after the method call has returned). Thus, all async functions must include some kind of asynchronous operations. This keyword on its own does not make a function asynchronous thought, its nature depends on its implementation. await: allows us to define operations inside a function that will be awaited for continuation (more on this later). Async function sample: Async/Await Sample async void ShowDateTimeAsync() {     while (true)     {         var client = new ServiceReference1.Service1Client();         var dt = await client.GetDateTimeTaskAsync();         Console.WriteLine("Current DateTime is: {0}", dt);         await TaskEx.Delay(1000);     } } The previous sample is a typical usage scenario for these new features. Suppose we query some external Web Service to get data (in this case the current DateTime) and we do so at regular intervals in order to refresh user’s UI. Note the async and await functions working together. The ShowDateTimeAsync method indicate its asynchronous nature to the caller using the keyword async (that it may complete after returning control to its caller). The await keyword indicates the flow control of the method will continue executing asynchronously after client.GetDateTimeTaskAsync returns. The latter is the most important thing to understand about the behavior of this method and how this actually works. The flow control of the method will be reconstructed after any asynchronous operation completes (specified with the keyword await). This reconstruction of flow control is the real magic behind the scene and it is done by C#/VB compilers. Note how we didn’t use any of the regular existing async patterns and we’ve defined the method very much like a synchronous one. Now, compare the following code snippet  in contrast to the previuous async/await: Traditional UI Async void ComplicatedShowDateTime() {     var client = new ServiceReference1.Service1Client();     client.GetDateTimeCompleted += (s, e) =>     {         Console.WriteLine("Current DateTime is: {0}", e.Result);         client.GetDateTimeAsync();     };     client.GetDateTimeAsync(); } The previous implementation is somehow similar to the first shown, but more complicated. Note how the while loop is implemented as a chained callback to the same method (client.GetDateTimeAsync) inside the event handler (please, do not do this in your own application, this is just an example).  How it works? Using an state workflow (or jump table actually), the compiler expands our code and create the necessary steps to execute it, resuming pending operations after any asynchronous one. The intention of the new Async/Await pattern is to let us think and code as we normally do when designing and algorithm. It also allows us to preserve the logical flow control of the program (without using any tricky coding patterns to accomplish this). The compiler will then create the necessary workflow to execute operations as the happen in time.

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  • New cloud development workflow using Github, Cloud9ide and CloudFoundry.

    - by weng
    So time is changing towards cloud development/computing. I'm trying to get the new "cloud" workflow based on the services I'm going to use: Github, Cloud9ide and CloudFoundry. Here is what is on my mind: Github acts like a central (main repo) just like yesterday's local filesystem. Every service will base it service upon this main repo. Workflow: Github: I create a new Github repo served as main repo for the project. Cloud9ide. I open my Github repo and write my tests and implementation (BDD/TDD). When I'm ready I save (commit) it to main repo on Github. X: A running instance of Jenkins detects someone has committed and fetches the latest commit, builds, deploys, tests (yeti and/or selenium) and reports if the tests were passed or not. If not, I make another commit til all tests are passing. X: I run the CloudFoundry commands to push the main Github repo to CloudFoundry's server and it will deploy my app automatically. What I'm still confused about is where this X environment will be. On a local server where I have to install Jenkins? Or could I install it on Cloud9ide (when java is supported) or will it be on another cloud service? Also, that X environment has to be able to fetch (clone) the Github repo and run the build scripts. And since the concept of Cloud9ide is very new and there haven't been any other predecessors I really wonder how the workflow will look like. We all know Github's workflow. We now know CloudFoundry's workflow (deploy/scale with a restful API/command line tool). But how Cloud9Ide will operate is still somewhat unclear to me. Someone on Cloud9ide mentioned that there will be buttons like deploy so I can deploy with one click. But that I guess will depend on what services that deploy process will hook up into etc. Could someone enlighten this cloud workflow topic and fill in the gaps. Thanks.

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  • Guest Post: Instantiate SharePoint Workflow On Item Deleted

    - by Brian Jackett
    In this post, guest author Lucas Eduardo Silva will walk you through the steps of instantiating a workflow using an item event receiver from a custom list.  The ItemDeleting event will require approval via the workflow. Foreword     As you may have read recently, I injured my right hand and have had it in a cast for the past 3 weeks.  Due to this I planned to reduce my blogging while my hand heals.  As luck would have it, I was actually approached by someone who asked if they could be a guest author on my blog.  I’ve never had a guest author, but considering my injury now seemed like as good a time as ever to try it out. About the Guest Author     Lucas Eduardo Silva (email) works for CPM Braxis, a sibling company to my employer Sogeti in the CapGemini family.  Lucas and I exchanged emails a few times after one of my  recent posts and continued into various topics.  When I posted that I had injured my hand, Lucas mentioned that he had a post idea that he would like to publish and asked if it could be published on my blog.  The below content is the result of that collaboration. The Problem     Lucas has a big problem.  He has a workflow that he wants to fire every time an item is deleted from a custom list. He has already created the association in the "item deleting event", but needs to approve the deletion but the workflow is finishing first. Lucas put an onWorkflowItemChanged wait for the change of status approval, but it is not being hit. The Solution Note: This solution assumes you have the Visual Studio Extensions for Windows SharePoint Services (VSeWSS) installed to access the SharePoint project templates within VIsual Studio. 1 - Create a workflow that will be activated by ItemEventReceiver. 2 - Create the list by Visual Studio clicking in File -> New -> Project. Select SharePoint, then List Definition. 3 - Select the type of document to be created. List, Document Library, Wiki, Tasks, etc.. 4 - Visual Studio creates the file ItemEventReceiver.cs with all possible events in a list. 5 – In the workflow project, open the workflow.xml and copy the ID. 6 - Uncomment the ItemDeleting and insert the following code by replacing the ID that you copied earlier.   //Cancel the Exclusion properties.Cancel = true;   //Activating Exclusion Workflow SPWorkflowManager workflowManager = properties.ListItem.Web.Site.WorkflowManager;   SPWorkflowAssociation wfAssociation = properties.ListItem.ParentList.WorkflowAssociations. GetAssociationByBaseID(new Guid("37b5aea8-792a-4ded-be25-d283d9fe1f9d"));   workflowManager.StartWorkflow(properties.ListItem, wfAssociation, wfAssociation.AssociationData, true);   properties.Status = SPEventReceiverStatus.CancelNoError;   7 - properties.Cancel cancels the event being activated and executes the code that is inside the event. In the example, it cancels the deletion of the item to start the workflow that will be active as an association list with the workflow ID. 8 - Create and deploy the workflow and the list for SharePoint. 9 - Create a list through the model that was created. 10 - Enable the workflow in the list and Congratulations! Every time you try to delete the item the workflow is activated. TIP: If you really want to delete the item after the workflow is done you will have to delete the item by the workflow.   this.workflowProperties.Site.AllowUnsafeUpdates = true; this.workflowProperties.Item.Delete(); this.workflowProperties.List.Update();   Conclusion     In this guest post Lucas took you through the steps of creating an item deletion approval workflow with an event receiver.  This was also the first time I’ve had a guest author on this blog.  Many thanks to Lucas for putting together this content and offering it.  I haven’t decided how I’d handle future guest authors, mostly because I don’t know if there are others who would want to submit content.  If you do have something that you would like to guest author on my blog feel free to drop me a line and we can discuss.  As a disclaimer, there are no guarantees that it will be published though.  For now enjoy Lucas’ post and look for my return to regular blogging soon.         -Frog Out   <Update 1> If you wish to contact Lucas you can reach him at [email protected] </Update 1>

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  • What's the best practice for async APIs that return futures on Scala?

    - by Maurício Linhares
    I have started a project to write an async PostgreSQL driver on Scala and to be async, I need to accept callbacks and use futures, but then accepting a callback and a future makes the code cumbersome because you always have to send a callback even if it is useless. Here's a test: "insert a row in the database" in { withHandler { (handler, future) => future.get(5, TimeUnit.SECONDS) handler.sendQuery( this.create ){ query => }.get( 5, TimeUnit.SECONDS ) handler.sendQuery( this.insert ){ query => }.get( 5, TimeUnit.SECONDS ).rowsAffected === 1 } } Sending the empty callback is horrible but I couldn't find a way to make it optional or anything like that, so right now I don't have a lot of ideas on how this external API should look like. It could be something like: handler.sendQuery( this.create ).addListener { query => println(query) } But then again, I'm not sure how people are organizing API's in this regard. Providing examples in other projects would also be great.

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  • In-depth Coverage for Oracle Workflow

    - by Steven Chan (Oracle Development)
    I'm lucky to work with many talented people in the Applications Technology Group, and many of them contribute articles to this blog.  Some team members have their own blogs.  If you work with Oracle Workflow, here's one that you should be following: Oracle E-Business Suite - Workflow This blog is updated every few months by our development team with in-depth technical articles about Oracle Workflow-related topics.  For example, articles posted there include: Implementing a post-notification function to perform custom validation E-Business Suite Proactive Support - Workflow Analyzer Asynchronous Business Event Subscriptions - Troubleshooting Tips Oracle E-Busienss Suite RCD - Applications Technology Releases 12.1 and 12.2 SMTP Authentication Feature in R12.1.3 Configurable User LOV in Worklist UI Oracle Business Event and Subsciptions Execution Flow Understanding AQs in Workflow SSL in Oracle Workflow Leveraging Oracle Workflow for Declarative PageFlow If you have suggestions about Workflow topics that you'd like to see covered there, drop them a line.

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  • Which workflow engine should I chose for implementing a dynamic reconfiguration of workflows?

    - by Raya
    I want to be able to interrupt a running workflow instance, say when a new activity is about to be invoked, and extract information both about the structure of the workflow and the data in the particular instance. Then I will consult with an external system and according to its response I will possibly alter the behaviour of the workflow. The options I would like to have are addition/removal of activities and altering parameters for the activities to be invoked. I am currently struggling with the engine it's best to go with. I have looked at WWF, Apache ODE, Oracle Workflow and Active BPEL and as far as I understand they can all provide me with the options I need. I would really appreciate any recommendations on which one will be the easiest to work with for my purpose and any restrictions either of the above might have that would prevent me from reaching my goal. Thanks

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  • Which Workflow Engine do you recommend?

    - by Glenn
    I am kicking around the idea of using a workflow engine on this upcoming project. We know that there is a lot of caveats with using a workflow engine and we have a lot of development experience in many platforms so we would be willing to let the choice of workflow engine take precedence over our favorite toolset or developer IDE. We are more interested in internal workflow (i.e. petri net for easily changeable ERP purposes without involving additional coder time) than external workflow (i.e. aggregating SOAP calls into a transaction aware, higher level SOA). Which workflow engine would you recommend? We have superficially looked at offerings by Oracle, Microsoft, and some open source stuff too. It's all very overwhelming so please respond only if you have real life experience with implementing internal workflow.

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  • How to customize OOTB workflow emails

    - by Jeff
    How can I make simple format-type customizations to ALL OOTB workflow related emails? I have found that many pre-Sharepoint 2010 posts indicated that OOTB workflow emails are in fact 'alerts', and therefore OOTB workflow emails could be customized using the same technique which is: making a customized version of alerttemplates.xml and even using IAlertNotifyHandler to intercept all alert emails. However, it seems that OOTB workflow and workflow task emails are not affected by changes to my customalerttemplates.xml file (which I do follow with stsadm updatealerttemplates, iisreset, and timer service restart). This is what I used as a guide to customize alerts: http://blogs.msdn.com/b/sharepointdeveloperdocs/archive/2007/12/14/how-to-customizing-alert-emails-using-ialertnotificationhandler.aspx What am I missing? Is there a separate template for workflow emails? Can OOTB workflow emails be customized? Thanks! Jeff

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  • SharePoint workflow user

    - by Adonis L
    I have created a SharePoint workflow in visual studio , I have extended this workflow from the default SharePoint approval workflow as discribed here ( http://bit.ly/b8oJAp ) The workflow is running properly. Is there a way I can get the workflow to run in the context of the user instead of th system account?

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  • Async Call To Services

    - by Pita.O
    Hi Is there any time it would not be a good idea to call web services async? My data layer is a REST-based interface and I thinking of adopting an async-only approach to all the CRUD in the system. Is there anything I should know?

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  • Dependency Property not getting updated value via ActivityBind

    - by d h
    I have a Sequence Activity which holds two activities (Activity A and B), the input dependency property for Activity B is bound an output dependency property of Activity A. However, when I run the sequence activity, the Input for activity B is never updated and just uses the default value of activity A's output. My question is: is there a way to enforce an update on activity B's input so that it gets the latest value of activity A's output?

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  • Using CallExternalMethodActivity/HandleExternalEventActivity in StateMachine

    - by AngrySpade
    I'm attempting to make a StateMachine execute some database action between states. So I have a "starting" state that uses CallExternalMethodActivity to call a "BeginExecuteNonQuery" function on an class decorated with ExternalDataExchangeAttribute. After that it uses a SetStateActivity to change to an "ending" state. The "ending" state uses a HandleExternalEventActivity to listen to a "EndExecuteNonQuery" event. I can step through the local service, into the "BeginExecuteNonQuery" function. The problem is that the "EndExecuteNonQuery" is null. public class FailoverWorkflowController : IFailoverWorkflowController { private readonly WorkflowRuntime workflowRuntime; private readonly FailoverWorkflowControlService failoverWorkflowControlService; private readonly DatabaseControlService databaseControlService; public FailoverWorkflowController() { workflowRuntime = new WorkflowRuntime(); workflowRuntime.WorkflowCompleted += workflowRuntime_WorkflowCompleted; workflowRuntime.WorkflowTerminated += workflowRuntime_WorkflowTerminated; ExternalDataExchangeService dataExchangeService = new ExternalDataExchangeService(); workflowRuntime.AddService(dataExchangeService); databaseControlService = new DatabaseControlService(); workflowRuntime.AddService(databaseControlService); workflowRuntime.StartRuntime(); } ... } ... public void BeginExecuteNonQuery(string command) { Guid workflowInstanceID = WorkflowEnvironment.WorkflowInstanceId; ThreadPool.QueueUserWorkItem(delegate(object state) { try { int result = ExecuteNonQuery((string)state); EndExecuteNonQuery(null, new ExecuteNonQueryResultEventArgs(workflowInstanceID, result)); } catch (Exception exception) { EndExecuteNonQuery(null, new ExecuteNonQueryResultEventArgs(workflowInstanceID, exception)); } }, command); } What am I doing wrong with my implementation? -Stan

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