Hello, I’m trying to create a unit test for my application, but I would need to do a get image to bring my base64 image and I don’t know how to do it with the text.
can you help me?
[Fact]
public async Task EnsureThatGetDocumentAndReplaceSignatureWildcardsReplaceOrNotAsConfigured()
{
var tenantId = 34;
var flowId = 35;
var text = "Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum {{coringa2}} has been the industry's standard dummy text {{coringa3}} ever since the 1500s, when an unknown printer took a galley of type and scrambled {{coringa2}} it to make a type specimen book. {{coringa1}}";
var templateFiles = new List<ProcessVersionTemplateFileInfo>() {
new ProcessVersionTemplateFileInfo() {
Key ="f567sd8bv45",
Type = "PDF",
Name = "Template"
},
};
var processVersionTemplateFieldMapping = new List<ProcessVersionTemplateFieldMappingInfo>()
{
new ProcessVersionTemplateFieldMappingInfo()
{
WildCard="{{coringa1}}",
FieldComponentInternalId="input1"
},
new ProcessVersionTemplateFieldMappingInfo()
{
WildCard="{{coringa2}}",
FieldComponentInternalId="input2"
},
new ProcessVersionTemplateFieldMappingInfo()
{
WildCard="{{coringa3}}",
FieldComponentInternalId="input3"
}
};
var flowInfo = new FlowInfo()
{
ProcessVersionId = 1,
ProcessVersion = new ProcessVersionInfo()
{
Id = 1,
TemplateFiles = templateFiles,
ProcessVersionTemplateFieldMapping = processVersionTemplateFieldMapping
},
FieldValues = new List<FieldValueInfo>() {
new FieldValueInfo() { Id = 1, FieldValue = "data:image/png;base64,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",
Field = new FieldInfo(){ ComponentInternalId = "input1" } },
new FieldValueInfo() { Id = 2, FieldValue = "Texto", Field = new FieldInfo(){ ComponentInternalId = "input2" } },
new FieldValueInfo() { Id = 2, FieldValue = "", Field = new FieldInfo(){ ComponentInternalId = "input3" } }
}
};
AsposeWordsService asposeWordsService = new AsposeWordsService();
_mockFlowService.Setup(x => x.GetFlowIncludingRelationShip(tenantId, flowId)).Returns(flowInfo);
_mockStorageService.Setup(x => x.Download(It.IsAny<string>())).ReturnsAsync(GenerateStreamFromString(text));
_mockAsposeService.Setup(x => x.GetText(It.IsAny<Stream>())).Returns(text);
var templateVersionService = new ProcessVersionTemplateFileService(
_mockContextDataService.Object,
_mockRepository.Object,
_mockStorageService.Object,
asposeWordsService,
_mockFlowService.Object,
_mockMapper.Object);
var result = await templateVersionService.GetDocumentAndReplaceWildcards(tenantId, flowId, TemplateSaveFormat.PDF);
var textResult = asposeWordsService.GetText(result.FileStream);
//achar uma forma de fazer um get na imagem gerada
var imageResult = asposeWordsService;
Assert.DoesNotContain("{{coringa1}}", textResult);
Assert.DoesNotContain("{{coringa2}}", textResult);
Assert.DoesNotContain("{{coringa3}}", textResult);
Assert.Contains("Texto", textResult);
// Assert.Contains("", imageResult);
Assert.Contains(" dummy text ever since", textResult);