public void CopyFields_ExtendedDynamicRow_To_DynamicRow()
{
var schema = Schema.GetForTypedDoc(typeof(Person));
var fieldDefs = schema.FieldDefs.ToList();
fieldDefs.Add(new Schema.FieldDef("Info", typeof(string), new QuerySource.ColumnDef("Info")));
fieldDefs.Add(new Schema.FieldDef("Count", typeof(long), new QuerySource.ColumnDef("Info")));
var extendedSchema = new Schema("sname", fieldDefs.ToArray());
var from = new DynamicDoc(extendedSchema);
from["FirstName"] = "Ivan";
from["Amount"] = 10;
from["DOB"] = new DateTime(1990, 2, 16);
from["GoodPerson"] = true;
from["Info"] = "extended info";
from["Count"] = long.MaxValue;
var to = new DynamicDoc(schema);
from.CopyFields(to);
Aver.AreObjectsEqual(to["FirstName"], from["FirstName"]);
Aver.AreObjectsEqual(to["Amount"], from["Amount"]);
Aver.AreObjectsEqual(to["DOB"], from["DOB"]);
Aver.AreObjectsEqual(to["GoodPerson"], from["GoodPerson"]);
}
public void Validate_Error_ValueList()
{
var person = new DynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
person["ID"] = "POP1";
person["FirstName"] = "Oleg";
person["LastName"] = "Popov";
person["DOB"] = new DateTime(1981, 2, 12);
person["YearsInSpace"] = 45;
person["Amount"] = 100;
person["Description"] = "0123";
person["Classification"] = "INVALID";
var error = person.Validate();
error?.Message.See();
Aver.IsTrue(error is FieldValidationException);
Aver.AreEqual("Classification", ((FieldValidationException)error).FieldName);
Aver.IsTrue(error.Message.Contains("list of allowed"));
person["Classification"] = "good";
Aver.IsNull(person.Validate());
person["Classification"] = "bad";
Aver.IsNull(person.Validate());
person["Classification"] = "ugly";
Aver.IsNull(person.Validate());
}
public void Equality()
{
var person1 = new DynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
person1["ID"] = "POP1";
person1["FirstName"] = "Oleg";
person1["LastName"] = "Popov";
person1["DOB"] = new DateTime(1981, 2, 12);
person1["YearsInSpace"] = 45;
person1["Amount"] = 100;
person1["Description"] = "Wanted to go to the moon";
var person2 = new DynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
person2["ID"] = "POP1";
person2["FirstName"] = "Egor";
person2["LastName"] = "Pedorov";
person2["DOB"] = new DateTime(1982, 5, 2);
person2["YearsInSpace"] = 4;
person2["Amount"] = 1000000;
Aver.IsTrue(person1.Equals(person2));
person2["ID"] = "POP2";
Aver.IsFalse(person1.Equals(person2));
}
public void CopyFields_DynamicRow_To_Amorphous_IncludeAmorphous()
{
var schema = Schema.GetForTypedDoc(typeof(Person));
var from = new DynamicDoc(schema);
from["FirstName"] = "Ivan";
from["Amount"] = 10;
from["DOB"] = new DateTime(1990, 2, 16);
from["GoodPerson"] = true;
var to = new AmorphousDynamicDoc(Schema.GetForTypedDoc(typeof(Empty)));
to.AmorphousData["field1"] = 123;
to.AmorphousData["FirstName"] = "John";
from.CopyFields(to, includeAmorphousData: true);
Aver.AreEqual(0, to.Schema.FieldCount);
Aver.AreEqual(12, to.AmorphousData.Count);
Aver.AreObjectsEqual(123, to.AmorphousData["field1"]);
Aver.AreObjectsEqual(from["FirstName"], to.AmorphousData["FirstName"]);
Aver.AreObjectsEqual(from["Amount"], to.AmorphousData["Amount"]);
Aver.AreObjectsEqual(from["DOB"], to.AmorphousData["DOB"]);
Aver.AreObjectsEqual(from["GoodPerson"], to.AmorphousData["GoodPerson"]);
}
public void FindIndexByKey_DynamicRows()
{
var tbl = new Table(Schema.GetForTypedDoc(typeof(Person)));
for (var i = 0; i < 10; i++)
{
var row = new DynamicDoc(tbl.Schema);
row["ID"] = "POP{0}".Args(i);
row["FirstName"] = "Oleg";
row["LastName"] = "DynamicPopov-{0}".Args(i);
row["DOB"] = new DateTime(1953, 12, 10);
row["YearsInSpace"] = 12;
tbl.Insert(row);
}
Aver.AreEqual(10, tbl.Count);
var idx1 = tbl.FindIndexByKey("POP5");
Aver.AreEqual(5, idx1);
var idx2 = tbl.FindIndexByKey("POP6");
Aver.AreEqual(6, idx2);
var idx3 = tbl.FindIndexByKey("DoesNotExist");
Aver.AreEqual(-1, idx3);
}
public void BuildUsingAdHockSchema()
{
var schema = new Schema("TEZT",
new Schema.FieldDef("ID", typeof(int), new List <FieldAttribute> {
new FieldAttribute(required: true, key: true)
}),
new Schema.FieldDef("Description", typeof(string), new List <FieldAttribute> {
new FieldAttribute(required: true)
})
);
var tbl = new Table(schema);
for (var i = 0; i < 1000; i++)
{
var row = new DynamicDoc(tbl.Schema);
row["ID"] = i;
row["Description"] = "Item-{0}".Args(i);
tbl.Insert(row);
}
Aver.AreEqual(1000, tbl.Count);
var match = tbl.FindByKey(178);
Aver.IsNotNull(match);
Aver.AreObjectsEqual("Item-178", match["Description"]);
}
public void CopyFields_DynamicRow()
{
var from = new DynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
from["FirstName"] = "Ivan";
from["LastName"] = "Petrov";
from["Amount"] = 10;
from["Classification"] = "class1";
from["Description"] = null;
from["DOB"] = new DateTime(1990, 2, 16);
from["GoodPerson"] = true;
from["ID"] = "abc";
from["LuckRatio"] = 12345.6789D;
from["YearsInSpace"] = 20;
from["YearsWithCompany"] = null;
var to = new DynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
to["Description"] = "descr";
to["YearsWithCompany"] = 30;
from.CopyFields(to);
Aver.AreObjectsEqual(to["FirstName"], from["FirstName"]);
Aver.AreObjectsEqual(to["LastName"], from["LastName"]);
Aver.AreObjectsEqual(to["Amount"], from["Amount"]);
Aver.AreObjectsEqual(to["Classification"], from["Classification"]);
Aver.AreObjectsEqual(to["Description"], from["Description"]);
Aver.AreObjectsEqual(to["DOB"], from["DOB"]);
Aver.AreObjectsEqual(to["GoodPerson"], from["GoodPerson"]);
Aver.AreObjectsEqual(to["ID"], from["ID"]);
Aver.AreObjectsEqual(to["LuckRatio"], from["LuckRatio"]);
Aver.AreObjectsEqual(to["YearsInSpace"], from["YearsInSpace"]);
Aver.AreObjectsEqual(to["YearsWithCompany"], from["YearsWithCompany"]);
}
public void Slim_SerializeTable_DynamicRows()
{
var tbl = new Table(Schema.GetForTypedDoc(typeof(Person)));
for (var i = 0; i < 1000; i++)
{
var row = new DynamicDoc(tbl.Schema);
row["ID"] = "POP{0}".Args(i);
row["FirstName"] = "Oleg";
row["LastName"] = "Popov-{0}".Args(i);
row["DOB"] = new DateTime(1953, 12, 10);
row["YearsInSpace"] = 12;
tbl.Insert(row);
}
var ser = new SlimSerializer();
using (var ms = new MemoryStream())
{
ser.Serialize(ms, tbl);
Console.WriteLine("{0} rows took {1} bytes".Args(tbl.Count, ms.Position));
ms.Position = 0;
var tbl2 = ser.Deserialize(ms) as Table;
Aver.IsNotNull(tbl2);
Aver.IsFalse(object.ReferenceEquals(tbl, tbl2));
Aver.AreEqual(1000, tbl2.Count);
Aver.IsTrue(tbl.SequenceEqual(tbl2));
}
}
public void DynamicRows()
{
var tbl = new Table(Schema.GetForTypedDoc(typeof(Person)));
var row = new DynamicDoc(tbl.Schema);
row["ID"] = "POP1";
row["FirstName"] = "Oleg";
row["LastName"] = "Popov-1";
row["DOB"] = new DateTime(1953, 12, 10);
row["YearsInSpace"] = 12;
tbl.Insert(row);
var ser = new SlimSerializer();
using (var ms = new MemoryStream())
{
ser.Serialize(ms, tbl);
ms.Position = 0;
var tbl2 = ser.Deserialize(ms) as Table;
Aver.IsNotNull(tbl2);
Aver.IsFalse(object.ReferenceEquals(tbl, tbl2));
Aver.IsFalse(object.ReferenceEquals(tbl.Schema, tbl2.Schema));
Aver.IsTrue(tbl.Schema.IsEquivalentTo(tbl2.Schema));
}
}
public static void GetSchemaAndTestFullGDID(ICRUDDataStore store)
{
var schema = store.GetSchema(new Query("CRUD.Queries.FullGDID.Load"));
var row = new DynamicDoc(schema);
var key = new GDID(179, 1, 1234567890);
Console.WriteLine(key.Bytes.ToDumpString(DumpFormat.Hex));
row["GDID"] = new GDID(179, 1, 1234567890);
Console.WriteLine(((byte[])row["GDID"]).ToDumpString(DumpFormat.Hex));
row["VARGDID"] = new GDID(12, 9, 9876543210);
row["STRING_NAME"] = "DA DA DA!";
store.Insert(row);
var row2 = store.LoadOneDoc(new Query("CRUD.Queries.FullGDID.Load", key, typeof(FullGDID))) as FullGDID;
Aver.IsNotNull(row2);
Aver.AreEqual(key, row2.GDID);
Aver.AreEqual(new GDID(12, 9, 9876543210), row2.VARGDID);
Aver.AreObjectsEqual("DA DA DA!", row2["String_Name"]);
}
public static void ASYNC_GetSchemaAndTestVariousTypes(ICRUDDataStore store)
{
var schema = store.GetSchemaAsync(new Query("CRUD.Queries.Types.Load")).Result;
var row = new DynamicDoc(schema);
row["GDID"] = new GDID(0, 145);
row["SCREEN_NAME"] = "User1";
row["STRING_NAME"] = "Some user 1";
row["CHAR_NAME"] = "Some user 2";
row["BOOL_CHAR"] = 'T';
row["BOOL_BOOL"] = true;
row["AMOUNT"] = 145670.23m;
row["DOB"] = new DateTime(1980, 12, 1);
store.Insert(row);
var row2 = store.LoadOneDoc(new Query("CRUD.Queries.Types.Load", new GDID(0, 145)));
Aver.IsNotNull(row2);
Aver.AreObjectsEqual(145, row2["GDID"].AsInt());
Aver.AreObjectsEqual("User1", row2["Screen_Name"]);
Aver.AreObjectsEqual("Some user 1", row2["String_Name"]);
Aver.AreObjectsEqual("Some user 2", row2["Char_Name"]);
Aver.AreEqual(true, row2["BOOL_Char"].AsBool());
Aver.AreEqual(true, row2["BOOL_BOOL"].AsBool());
Aver.AreObjectsEqual(145670.23m, row2["Amount"]);
Aver.AreEqual(1980, row2["DOB"].AsDateTime().Year);
}
public static void ASYNC_QueryInsertQuery(ICRUDDataStore store)
{
var query = new Query("CRUD.Queries.Patient.List")
{
new Query.Param("LN", "%loff")
};
var task = store.LoadAsync(query);
Aver.AreEqual(1, task.Result.Count);
var rowset = task.Result[0];
Aver.AreEqual(0, rowset.Count);
var row = new DynamicDoc(rowset.Schema);
row["ssn"] = "999-88-9012";
row["First_Name"] = "Jack";
row["Last_Name"] = "Kozloff";
row["DOB"] = new DateTime(1980, 1, 12);
Aver.IsNull(row.Validate());
store.InsertAsync(row).Wait();
task = store.LoadAsync(query);
Aver.AreEqual(1, task.Result.Count);
rowset = task.Result[0];
Aver.AreEqual(1, rowset.Count);
Aver.AreObjectsEqual("Jack", rowset[0]["First_Name"]);
}
public void PopulateAndFindKey_DynamicRows()
{
var tbl = new Table(Schema.GetForTypedDoc(typeof(Person)));
for (var i = 0; i < 1000; i++)
{
var row = new DynamicDoc(tbl.Schema);
row["ID"] = "POP{0}".Args(i);
row["FirstName"] = "Oleg";
row["LastName"] = "Popov-{0}".Args(i);
row["DOB"] = new DateTime(1953, 12, 10);
row["YearsInSpace"] = 12;
tbl.Insert(row);
}
Aver.AreEqual(1000, tbl.Count);
var match1 = tbl.FindByKey("POP35");
Aver.IsNotNull(match1);
Aver.AreObjectsEqual("Popov-35", match1["LastName"]);
var match2 = tbl.FindByKey("POP36") as DynamicDoc;
Aver.IsNotNull(match2);
Aver.AreObjectsEqual("Popov-36", match2["LastName"]);
var match3 = tbl.FindByKey("DoesNotExist");
Aver.IsNull(match3);
}
public void InferSchema()
{
var doc = new BSONDocument();
doc.Set(new BSONStringElement("FullName", "Alex Bobby"));
doc.Set(new BSONInt32Element("Age", 123));
doc.Set(new BSONBooleanElement("IsGood", true));
var c = new DataDocConverter();
var schema = c.InferSchemaFromBSONDocument(doc);
Aver.AreEqual(3, schema.FieldCount);
Aver.AreEqual(0, schema["FullName"].Order);
Aver.AreEqual(1, schema["Age"].Order);
Aver.AreEqual(2, schema["IsGood"].Order);
Aver.AreObjectsEqual(typeof(object), schema["FullName"].NonNullableType);
Aver.AreObjectsEqual(typeof(object), schema["Age"].NonNullableType);
Aver.AreObjectsEqual(typeof(object), schema["IsGood"].NonNullableType);
var row = new DynamicDoc(schema);
c.BSONDocumentToDataDoc(doc, row, null);
Aver.AreObjectsEqual("Alex Bobby", row[0]);
Aver.AreObjectsEqual(123, row[1]);
Aver.AreObjectsEqual(true, row[2]);
Aver.AreObjectsEqual("Alex Bobby", row["FullName"]);
Aver.AreObjectsEqual(123, row["Age"]);
Aver.AreObjectsEqual(true, row["IsGood"]);
}
public void ToDynamicRow_FromString()
{
var str = @"{name: ""Orlov"", dob: ""02/12/2007 6:45 PM"", certified: true, serviceyears: 12, salary: 145000}";
var row = new DynamicDoc(Schema.GetForTypedDoc(typeof(MySimpleData)));
JsonReader.ToDoc(row, str.JsonToDataObject() as JsonDataMap);
Aver.AreObjectsEqual("Orlov", row["Name"]);
Aver.AreObjectsEqual(new DateTime(2007, 2, 12, 18, 45, 0), row["DOB"]);
Aver.AreObjectsEqual(true, row["Certified"]);
Aver.AreObjectsEqual(12, row["ServiceYears"]);
Aver.AreObjectsEqual(145000m, row["Salary"]);
}
public void GetSchema_ROW_JSON_ROW()
{
var data = new byte[] { 0x00, 0x79, 0x14 };
var row =
new MyPerzon
{
GDID = new GDID(1, 1, 980),
Name = "Lenin Grib",
Age = 100,
Data = data
};
m_Store.Insert(row);
var qry = new Query("CRUD.LoadPerzon", typeof(MyPerzon))
{
new Query.Param("id", new GDID(1, 1, 980))
};
var schema = m_Store.GetSchema(qry);
Aver.IsNotNull(schema);
Aver.AreEqual(4, schema.FieldCount);
Aver.AreEqual(0, schema["_id"].Order);
Aver.AreEqual(1, schema["Name"].Order);
Aver.AreEqual(2, schema["Age"].Order);
Aver.AreEqual(3, schema["Data"].Order);
var row2 = new DynamicDoc(schema);//Notice: We are creating dynamic row with schema taken from Mongo
row2["_id"] = new GDID(10, 10, 10);
row2["Name"] = "Kozloff";
row2["Age"] = "199";
row2["Data"] = data;
var json = row2.ToJSON(JSONWritingOptions.PrettyPrintRowsAsMap);
Console.WriteLine(json);
var dyn = json.JSONToDynamic();
Aver.AreEqual(4, dyn.Data.Count);
Aver.AreEqual("10:10:10", dyn._id);
Aver.AreEqual("Kozloff", dyn.Name);
Aver.AreEqual("199", dyn.Age);
//todo: how to check dynamic row with 'Data' name? dyn.Data is the collection of all kvp ((JSONDataMap)dyn.Data)["Data"] is JSONDataArray
//Aver.AreEqual(data, dyn.Data);
}
public void Validate_Error_DateTimeMinMax_DifferentTarget()
{
var person = new DynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
person["ID"] = "POP1";
person["FirstName"] = "Oleg";
person["LastName"] = "Popov";
person["DOB"] = new DateTime(1899, 12, 10);
person["YearsInSpace"] = 45;
person["Amount"] = 100;
var error = person.Validate("sparta_system");
Aver.IsNull(error);
}
public void Validate_Error_StringRequired()
{
var person = new DynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
person["ID"] = "POP1";
person["FirstName"] = "Oleg";
person["LastName"] = null;
person["DOB"] = new DateTime(1953, 12, 10);
person["YearsInSpace"] = 12;
var error = person.Validate();
Console.WriteLine(error);
Aver.IsTrue(error is FieldValidationException);
Aver.AreEqual("LastName", ((FieldValidationException)error).FieldName);
}
public void BuildUsingTypedSchema()
{
var person = new DynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
person["ID"] = "POP1";
person["FirstName"] = "Oleg";
person["LastName"] = "Popov";
person["DOB"] = new DateTime(1953, 12, 10);
person["YearsInSpace"] = 12;
Aver.AreObjectsEqual("POP1", person["ID"]);
Aver.AreObjectsEqual("Oleg", person["FirstName"]);
Aver.AreObjectsEqual("Popov", person["LastName"]);
Aver.AreObjectsEqual(new DateTime(1953, 12, 10), person["DOB"]);
Aver.AreObjectsEqual(12, person["YearsInSpace"]);
}
public void Validate_Error_NullableIntRequired()
{
var person = new DynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
person["ID"] = "POP1";
person["FirstName"] = "Oleg";
person["LastName"] = "Popov";
person["DOB"] = new DateTime(1953, 12, 10);
// person["YearsInSpace"] = 12; NOT SET!!!
var error = person.Validate();
error?.Message.See();
Aver.IsTrue(error is FieldValidationException);
Aver.AreEqual("YearsInSpace", ((FieldValidationException)error).FieldName);
}
public void Validate_Error_DateTimeMinMax_1()
{
var person = new DynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
person["ID"] = "POP1";
person["FirstName"] = "Oleg";
person["LastName"] = "Popov";
person["DOB"] = new DateTime(1899, 12, 10);
person["YearsInSpace"] = 45;
person["Amount"] = 100;
var error = person.Validate();
error?.Message.See();
Aver.IsTrue(error is FieldValidationException);
Aver.AreEqual("DOB", ((FieldValidationException)error).FieldName);
Aver.IsTrue(error.Message.Contains("is below"));
}
public void Validate_Error_DecimalMinMax_2()
{
var person = new DynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
person["ID"] = "POP1";
person["FirstName"] = "Oleg";
person["LastName"] = "Popov";
person["DOB"] = new DateTime(1953, 12, 10);
person["YearsInSpace"] = 45;
person["Amount"] = 2000000;
var error = person.Validate();
Console.WriteLine(error);
Aver.IsTrue(error is FieldValidationException);
Aver.AreEqual("Amount", ((FieldValidationException)error).FieldName);
Aver.IsTrue(error.Message.Contains("is above"));
}
public void Validate_Error_MaxLength()
{
var person = new DynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
person["ID"] = "POP1";
person["FirstName"] = "Oleg";
person["LastName"] = "Popov";
person["DOB"] = new DateTime(1981, 2, 12);
person["YearsInSpace"] = 45;
person["Amount"] = 100;
person["Description"] = "0123456789012345678901234567890";
var error = person.Validate();
error?.Message.See();
Aver.IsTrue(error is FieldValidationException);
Aver.AreEqual("Description", ((FieldValidationException)error).FieldName);
Aver.IsTrue(error.Message.Contains("exceeds max length"));
}
public void PopulateAndFindKey_MixedRows()
{
var tbl = new Rowset(Schema.GetForTypedDoc(typeof(Person)));
for (var i = 0; i < 1000; i++)
{
var row = new DynamicDoc(tbl.Schema);
row["ID"] = "DYN{0}".Args(i);
row["FirstName"] = "Oleg";
row["LastName"] = "DynamicPopov-{0}".Args(i);
row["DOB"] = new DateTime(1953, 12, 10);
row["YearsInSpace"] = 12;
tbl.Insert(row);
tbl.Insert(new Person
{
ID = "TYPED{0}".Args(i),
FirstName = "Oleg",
LastName = "TypedPopov-{0}".Args(i),
DOB = new DateTime(1953, 12, 10),
YearsInSpace = 12
});
}
Aver.AreEqual(2000, tbl.Count);
var match1 = tbl.FindByKey("DYN35");
Aver.IsNotNull(match1);
Aver.IsTrue(match1 is DynamicDoc);
Aver.AreObjectsEqual("DynamicPopov-35", match1["LastName"]);
var match2 = tbl.FindByKey("TYPED36") as Person;
Aver.IsNotNull(match2);
Aver.AreObjectsEqual("TypedPopov-36", match2["LastName"]);
var match3 = tbl.FindByKey("DoesNotExist");
Aver.IsNull(match3);
}
public void BuildUsingAdHockSchema()
{
var schema = new Schema("TEZT",
new Schema.FieldDef("ID", typeof(int), new List <FieldAttribute> {
new FieldAttribute(required: true, key: true)
}),
new Schema.FieldDef("Description", typeof(string), new List <FieldAttribute> {
new FieldAttribute(required: true)
})
);
var person = new DynamicDoc(schema);
person["ID"] = 123;
person["Description"] = "Tank";
Aver.AreObjectsEqual(123, person["ID"]);
Aver.AreObjectsEqual("Tank", person["Description"]);
}
public void SetGetAndValidate_NoError()
{
var person = new DynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
person["ID"] = "POP1";
person["FirstName"] = "Oleg";
person["LastName"] = "Popov";
person["DOB"] = new DateTime(1953, 12, 10);
person["YearsInSpace"] = 12;
var error = person.Validate();
Aver.IsNull(error);
Aver.AreObjectsEqual("POP1", person["ID"]);
Aver.AreObjectsEqual("Oleg", person["FirstName"]);
Aver.AreObjectsEqual("Popov", person["LastName"]);
Aver.AreObjectsEqual(new DateTime(1953, 12, 10), person["DOB"]);
Aver.AreObjectsEqual(12, person["YearsInSpace"]);
}
public void CopyFields_AmorphousDynamicRow_To_DynamicRow()
{
var from = new AmorphousDynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
from["FirstName"] = "Ivan";
from["LuckRatio"] = 12345.6789D;
from.AmorphousData["field1"] = "some data";
var to = new DynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
to["Description"] = "descr";
to["YearsWithCompany"] = 30;
from.CopyFields(to);
Aver.AreObjectsEqual(to["FirstName"], from["FirstName"]);
Aver.AreObjectsEqual(to["LuckRatio"], from["LuckRatio"]);
Aver.AreObjectsEqual(to["Description"], from["Description"]);
Aver.AreObjectsEqual(to["YearsWithCompany"], from["YearsWithCompany"]);
Aver.AreObjectsEqual(null, to.Schema["field1"]);
}
public void SetValuesAsDifferentTypes()
{
var person = new DynamicDoc(Schema.GetForTypedDoc(typeof(Person)));
person["ID"] = "POP1";
person["FirstName"] = "Oleg";
person["LastName"] = "Popov";
person["DOB"] = new DateTime(1953, 12, 10);
person["YearsInSpace"] = 12;
Aver.AreObjectsEqual("POP1", person["ID"]);
Aver.AreObjectsEqual("Oleg", person["FirstName"]);
Aver.AreObjectsEqual("Popov", person["LastName"]);
Aver.AreObjectsEqual(new DateTime(1953, 12, 10), person["DOB"]);
Aver.AreObjectsEqual(12, person["YearsInSpace"]);
person["DOB"] = "05/15/2009 18:00";
Aver.AreObjectsEqual(new DateTime(2009, 5, 15, 18, 0, 0), person["DOB"]);
person["DOB"] = null;
Aver.IsNull(person["DOB"]);
person["YearsInSpace"] = "-190";
Aver.AreObjectsEqual(-190, person["YearsInSpace"]);
person["Description"] = 2 + 2;
Aver.AreObjectsEqual("4", person["Description"]);
person["Amount"] = "180.12";
Aver.AreObjectsEqual(180.12m, person["Amount"]);
person["GoodPerson"] = "true";
Aver.AreObjectsEqual(true, person["GoodPerson"]);
person["LuckRatio"] = 123;
Aver.AreObjectsEqual(123d, person["LuckRatio"]);
}
public void T_09_DynamicRow()
{
var BYTES = new byte[] { 0x00, 0x79, 0x14 };
var schema = new Schema("Dynamic Schema",
new Schema.FieldDef("ID", typeof(int), new List <FieldAttribute> {
new FieldAttribute(required: true, key: true)
}),
new Schema.FieldDef("Description", typeof(string), new List <FieldAttribute> {
new FieldAttribute(required: true)
}),
new Schema.FieldDef("Bytes", typeof(byte[]), new List <FieldAttribute> {
new FieldAttribute(required: true)
})
);
var row = new DynamicDoc(schema);
row["ID"] = 123;
row["Description"] = "T-90 Tank";
row["Bytes"] = BYTES;
var rc = new DataDocConverter();
var doc = rc.DataDocToBSONDocument(row, "A");
Console.WriteLine(doc.ToString());
var row2 = new DynamicDoc(schema);
rc.BSONDocumentToDataDoc(doc, row2, "A");
Aver.AreObjectsEqual(123, row2["ID"]);
Aver.AreObjectsEqual("T-90 Tank", row2["Description"]);
Aver.IsTrue(BYTES.SequenceEqual((byte[])row2["Bytes"]));
}