I am trying to compare two jsons, expected and the API Response using Javers, as part of testing. I want the comparison to exclude the ID parameters that are dynamically generated by response.
My VO is like
public class expectedResponse{
#DiffIgnore
private String id;
private String name;
}
Both my expectedResponse- which is read from excel file and the actual response from API are deserialized into this format and then both the responses are compared.
JsonNode expectedOutput = mapper.readTree(expected.toString());
JsonNode apiResponse = mapper.readTree(actual.toString());
diff=javers.compare(expectedOutput, apiResponse);
But this comparison doesn't exclude/ignore the ID field. Any Idea how I can get it to work? I want only the ID field excluded in comparison results, diff in name should be listed.
Also question 2> I am trying to list the changes from diff
if (diff.hasChanges())
{
List<ValueChange> changes=diff.getChangesByType(ValueChange.class);
for (ValueChange change : changes)
{
logger.info(change.getPropertyName()+ "||" +change.getLeft().toString() + "||" +change.getRight().toString());
change.getPropertyName()- doesnt print the property's name but simply prints "_value" as its value.
Can you pls help in identifying what is going wrong with the code and how can I get this fixed? I am not finding much useful documentations about Javers anywhere in google. Any help is appreciated.
You should compare you domain object instead of object with JsonNode class, look that #DiffIgnore annotation is present only in your domain class and there is no connection between JsonNode and ExpectedResponse, thats why Javers doesn't know to ignore this field.
To summarise, your code should looks like this:
ExpectedResponse expectedOutput = ...
ExpectedResponse apiResponse = ...
diff=javers.compare(expectedOutput, apiResponse);
Related
I have two structures:
type GoogleAccount struct {
Id uint64
Token string
}
It represent my custom PostgreSQL object type (i created myself):
CREATE TYPE GOOGLE_ACCOUNT AS
(
id NUMERIC,
token TEXT
);
And next structure is table in DB:
type Client struct {
IdClient uint64 `gorm:"primary_key"`
Name string
PhotoUrl string
ApprovalNumber uint16
Phone string
Password string
HoursOfNotice int8
Google GoogleAccount
}
And my custom object nested in type Client and named as google. I've tried to read data by the next way:
var users model.Client
db.First(&users)
But unfortunately I can't read field google (have a default value). I don't want to create separate table with google_account, or make this structure as separated fields in client table or packed it as json (created separate entity, because this structure used not only in this table and I'm searching new ways, that get the same result, but more gracefully). The task is not to simplify the presentation of data in the table. I need to make the correct mapping of the object from postgres to the entity.
Right now I found one solution - implement Scanner to GoogleAccount. But value in the input method is []uint8. As I can suppose, []uint8 can cast to string, and after that I can parse this string. This string (that keep in db) look like (x,x) - where x - is value. Is the right way, to parse string and set value to object? Or is way to get this result by ORM?
Is the possible way, to read this data as nested structure object?
It looks like you'll want to do two things with what you have: (1) update the model so you have the right relationship binding, and (2) use the .Preload() method if you're trying to get it to associate the data on read.
Model Changes
Gorm automatically infers relationships based on the name of the attributes in your struct and the name of the referenced struct. The problem is that Google attribute of type GoogleAccount isn't associating because gorm is looking for a type Google struct.
You're also missing a foreign key on GoogleAccount. How would the ORM know which GoogleAccount to associate with which Client? You should add a ClientId to your GoogleAccount struct definition.
Also, I would change the primary keys you're using to type uint since that's what gorm defaults to (unless you have a good reason not to use it)
If I were you, I would change my struct definitions to the following:
type Client struct {
IdClient uint `gorm:"primary_key"`
Name string
PhotoUrl string
ApprovalNumber uint16
Phone string
Password string
HoursOfNotice int8
GoogleAccount GoogleAccount // Change this to `GoogleAccount`, the same name of your struct
}
type GoogleAccount struct {
Id uint
ClientId uint // Foreign key
Token string
}
For more information on this, take a look at the associations documentation here: http://gorm.io/associations.html#has-one
Preloading associations
Now that you actually have them properly related, you can .Preload() get the nested object you want:
db.Preload("GoogleAccount").First(&user)
Using .Preload() will populate the user.GoogleAccount attribute with the correctly associated GoogleAccount based on the ClientId.
For more information on this, take a look at the preloading documentation: http://gorm.io/crud.html#preloading-eager-loading
Right now I found one solution - implement Scanner to GoogleAccount. At input of the Scan method I got []uint8, that I cast to string and parse in the end. This string (that keeping in db) look like (x,x) - where x - is value. Of course, it is not correct way to achieve my goal. But I couldn't found other solution.
I highly recommended use classical binding by relationship or simple keeping these fields in table as simplest value (not as object).
But if you would like to experiment with nested object in table, you can look at my realization, maybe it would be useful for you:
type Client struct {
// many others fields
Google GoogleAccount `json:"google"`
}
type GoogleAccount struct {
Id uint64 `json:"id"`
Token string `json:"token"`
}
func (google GoogleAccount) Value() (driver.Value, error) {
return "(" + strconv.FormatUint(google.Id, 10) + "," + google.Token + ")", nil
}
func (google *GoogleAccount) Scan(value interface{}) error {
values := utils.GetValuesFromObject(value)
google.Id, _ = strconv.ParseUint(values[0], 10, 64)
google.Token = values[1]
return nil
}
I apologize for what seems to be an exceedingly simple question, but after 4 hours of searching and beating my head against the wall, I'm doubting my sanity.
I need a string format expression that trims a supplied string argument much like Substring(0,1). Although I've never seen this in code, it just seems like it should be possible.
Here's a very basic example of what I'm trying to do:
string ClassCode = "B608H2014"; // sample value from the user's class schedule
string fRoom = "{0:0,2}";
string fGrade = "{0:2,2}";
string fYear = "{0:5,4}";
string Classroom = String.Format(fRoom, ClassCode); // intended result - "B6"
string Gradelevel = String.Format(fGrade, ClassCode); // intended result - "08"
string Schoolyear = String.Format(fYear, ClassCode); // intended result - "2014"
This is a very basic example, but I'm trying to use the String.Format() so I can store the format pattern(s) in the database for each respective DTO property since the class code layouts are not consistent. I can just pass in the formats from the database along with the required properties and it extracts what I need.
Does this make sense?
I'm trying to convert an entire column values into a arrayList using ormlite on android, is this possible, with direct api?
Using raw results i get close, but not quite:
GenericRawResults<String[]> rawResults =
getHelper().getMyProcessDao().queryRaw(
queryBuild.selectColumns("nid").prepareStatementString());
List<String[]> result = rawResults.getResults();
Hrm. I'm not sure this is what you want. However, one way to accomplish what you ask for specifically is through by using the RawRowMapper which can be passed to ORMLite's DAO method: dao.queryRaw(String, Rowmapper, String...).
Something like the following should work:
RawRowMapper<Integer> mapper = new RawRowMapper<Integer>() {
public Integer mapRow(String[] columnNames, String[] resultColumns) {
// maybe you should verify that there _is_ only 1 column here
// maybe you should handle the possibility of a bad number and throw
return Integer.parseInt(resultColumns[0]);
}
};
GenericRawResults<Integer> rawResults =
getHelper().getMyProcessDao().queryRaw(
queryBuild.selectColumns("nid").prepareStatementString(), mapper);
List<Integer> list = rawResults.getResults();
I'm working on a new application and i need to make a messages interface with lookup, using the key to find the value (like ConstantsWithLookup, but capable to receive parameters). I have being investigating Dictionary class functionality but it lacks message customization through parameters.
With ConstantsWithLookup i can make the following:
myConstantsWithLookupInterface.getString("key");
and get something like:
Field must be filled with numbers
But i need to do this:
myMessagesWithLookupInterface.getString("key", "param1", "param2",...);
and get something like:
Field _param1_ must be filled with numbers greater than _param2_
I have no clue how to do this.
Use GWT regular expressions:
//fields in your class
RegEx pattern1 = RegEx.compile("_param1_");
RegEx pattern2 = RegEx.compile("_param2_");
public String getString(String key, String replace1, String replace2){
// your original getString() method
String content = getString(key);
content = pattern1.replace(content,replace1);
content = pattern2.replace(content,replace2);
return content;
}
If your data contains Field _param1_ must be filled with numbers greater than _param2_ then this will replace _param1_ with content of string replace1.
I have a very simple mapping function called "BuildEntity" that does the usual boring "left/right" coding required to dump my reader data into my domain object. (shown below) My question is this - If I don't bring back every column in this mapping as is, I get the "System.IndexOutOfRangeException" exception and wanted to know if ado.net had anything to correct this so I don't need to bring back every column with each call into SQL ...
What I'm really looking for is something like "IsValidColumn" so I can keep this 1 mapping function throughout my DataAccess class with all the left/right mappings defined - and have it work even when a sproc doesn't return every column listed ...
Using reader As SqlDataReader = cmd.ExecuteReader()
Dim product As Product
While reader.Read()
product = New Product()
product.ID = Convert.ToInt32(reader("ProductID"))
product.SupplierID = Convert.ToInt32(reader("SupplierID"))
product.CategoryID = Convert.ToInt32(reader("CategoryID"))
product.ProductName = Convert.ToString(reader("ProductName"))
product.QuantityPerUnit = Convert.ToString(reader("QuantityPerUnit"))
product.UnitPrice = Convert.ToDouble(reader("UnitPrice"))
product.UnitsInStock = Convert.ToInt32(reader("UnitsInStock"))
product.UnitsOnOrder = Convert.ToInt32(reader("UnitsOnOrder"))
product.ReorderLevel = Convert.ToInt32(reader("ReorderLevel"))
productList.Add(product)
End While
Also check out this extension method I wrote for use on data commands:
public static void Fill<T>(this IDbCommand cmd,
IList<T> list, Func<IDataReader, T> rowConverter)
{
using (var rdr = cmd.ExecuteReader())
{
while (rdr.Read())
{
list.Add(rowConverter(rdr));
}
}
}
You can use it like this:
cmd.Fill(products, r => r.GetProduct());
Where "products" is the IList<Product> you want to populate, and "GetProduct" contains the logic to create a Product instance from a data reader. It won't help with this specific problem of not having all the fields present, but if you're doing a lot of old-fashioned ADO.NET like this it can be quite handy.
Although connection.GetSchema("Tables") does return meta data about the tables in your database, it won't return everything in your sproc if you define any custom columns.
For example, if you throw in some random ad-hoc column like *SELECT ProductName,'Testing' As ProductTestName FROM dbo.Products" you won't see 'ProductTestName' as a column because it's not in the Schema of the Products table. To solve this, and ask for every column available in the returned data, leverage a method on the SqlDataReader object "GetSchemaTable()"
If I add this to the existing code sample you listed in your original question, you will notice just after the reader is declared I add a data table to capture the meta data from the reader itself. Next I loop through this meta data and add each column to another table that I use in the left-right code to check if each column exists.
Updated Source Code
Using reader As SqlDataReader = cmd.ExecuteReader()
Dim table As DataTable = reader.GetSchemaTable()
Dim colNames As New DataTable()
For Each row As DataRow In table.Rows
colNames.Columns.Add(row.ItemArray(0))
Next
Dim product As Product While reader.Read()
product = New Product()
If Not colNames.Columns("ProductID") Is Nothing Then
product.ID = Convert.ToInt32(reader("ProductID"))
End If
product.SupplierID = Convert.ToInt32(reader("SupplierID"))
product.CategoryID = Convert.ToInt32(reader("CategoryID"))
product.ProductName = Convert.ToString(reader("ProductName"))
product.QuantityPerUnit = Convert.ToString(reader("QuantityPerUnit"))
product.UnitPrice = Convert.ToDouble(reader("UnitPrice"))
product.UnitsInStock = Convert.ToInt32(reader("UnitsInStock"))
product.UnitsOnOrder = Convert.ToInt32(reader("UnitsOnOrder"))
product.ReorderLevel = Convert.ToInt32(reader("ReorderLevel"))
productList.Add(product)
End While
This is a hack to be honest, as you should return every column to hydrate your object correctly. But I thought to include this reader method as it would actually grab all the columns, even if they are not defined in your table schema.
This approach to mapping your relational data into your domain model might cause some issues when you get into a lazy loading scenario.
Why not just have each sproc return complete column set, using null, -1, or acceptable values where you don't have the data. Avoids having to catch IndexOutOfRangeException or re-writing everything in LinqToSql.
Use the GetSchemaTable() method to retrieve the metadata of the DataReader. The DataTable that is returned can be used to check if a specific column is present or not.
Why don't you use LinqToSql - everything you need is done automatically. For the sake of being general you can use any other ORM tool for .NET
If you don't want to use an ORM you can also use reflection for things like this (though in this case because ProductID is not named the same on both sides, you couldn't do it in the simplistic fashion demonstrated here):
List Provider in C#
I would call reader.GetOrdinal for each field name before starting the while loop. Unfortunately GetOrdinal throws an IndexOutOfRangeException if the field doesn't exist, so it won't be very performant.
You could probably store the results in a Dictionary<string, int> and use its ContainsKey method to determine if the field was supplied.
I ended up writing my own, but this mapper is pretty good (and simple): https://code.google.com/p/dapper-dot-net/