Azure QnaMaker chat logs are not generated
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The GenerateAnswer API describes userId if sent in a request will be recorded in chat logs which as far as I could see do not seem to get generated.
Do chat logs get generated by default? or am I required to provision resources or make configuration changes for logging to take effect?
And please can you point me to Azure documentation if any that describes the logging aspects of QnA Maker in detail?
Thanks
qnamaker
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up vote
0
down vote
favorite
The GenerateAnswer API describes userId if sent in a request will be recorded in chat logs which as far as I could see do not seem to get generated.
Do chat logs get generated by default? or am I required to provision resources or make configuration changes for logging to take effect?
And please can you point me to Azure documentation if any that describes the logging aspects of QnA Maker in detail?
Thanks
qnamaker
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
The GenerateAnswer API describes userId if sent in a request will be recorded in chat logs which as far as I could see do not seem to get generated.
Do chat logs get generated by default? or am I required to provision resources or make configuration changes for logging to take effect?
And please can you point me to Azure documentation if any that describes the logging aspects of QnA Maker in detail?
Thanks
qnamaker
The GenerateAnswer API describes userId if sent in a request will be recorded in chat logs which as far as I could see do not seem to get generated.
Do chat logs get generated by default? or am I required to provision resources or make configuration changes for logging to take effect?
And please can you point me to Azure documentation if any that describes the logging aspects of QnA Maker in detail?
Thanks
qnamaker
qnamaker
asked Nov 12 at 10:22
Venkat Srinivasan
10819
10819
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1 Answer
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QnA Maker does not generate chatlogs by default. They currently do not offer any APIs to store chat logs.
Assuming you are using it in a form of a chatbot where question and answers are displayed concurrently, you could create a database instance that is stored locally such as SQL Server 2016.
Then by generating a unique GUID based on time of user visit store each chatlog in a table with the Primary key as 'GUID' followed by 'Question' and 'Answer' and 'Time'.
Example of potential answer model
namespace Frontend.Data {
public class Message {
[Key]
public string MessageId { get; set; }
public string ConversationId { get; set; }
public string Question { get; set; }
public string Answer { get; set; }
public DateTime MessageReceivedAtDateTime { get; set; }
public Message(string messageId, string conversationId, string question, string answer, string datestring) {
MessageId = messageId;
ConversationId = conversationId;
Answer = answer;
Question = question;
MessageReceivedAtDateTime = DateTimeOffset.Parse(datestring).UtcDateTime;
}
public Message() {}
}
However, you may have to tinker around with saving the question and answers as the user exits the program.
Depending on the language you are implementing QnA Maker, you may need to tweak some of these changes
https://docs.microsoft.com/en-us/sql/database-engine/configure-windows/sql-server-2016-express-localdb?view=sql-server-2017
https://docs.microsoft.com/en-us/dotnet/api/system.guid.newguid?view=netframework-4.7.2
Thanks for your response. I do not intend to roll out a custom solution. It seems they had this feature in the preview version not in the GA version. Application Insights can be used alternatively, however it needs some knowledge on how queries work, more at docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/…
– Venkat Srinivasan
Nov 22 at 10:34
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
2
down vote
QnA Maker does not generate chatlogs by default. They currently do not offer any APIs to store chat logs.
Assuming you are using it in a form of a chatbot where question and answers are displayed concurrently, you could create a database instance that is stored locally such as SQL Server 2016.
Then by generating a unique GUID based on time of user visit store each chatlog in a table with the Primary key as 'GUID' followed by 'Question' and 'Answer' and 'Time'.
Example of potential answer model
namespace Frontend.Data {
public class Message {
[Key]
public string MessageId { get; set; }
public string ConversationId { get; set; }
public string Question { get; set; }
public string Answer { get; set; }
public DateTime MessageReceivedAtDateTime { get; set; }
public Message(string messageId, string conversationId, string question, string answer, string datestring) {
MessageId = messageId;
ConversationId = conversationId;
Answer = answer;
Question = question;
MessageReceivedAtDateTime = DateTimeOffset.Parse(datestring).UtcDateTime;
}
public Message() {}
}
However, you may have to tinker around with saving the question and answers as the user exits the program.
Depending on the language you are implementing QnA Maker, you may need to tweak some of these changes
https://docs.microsoft.com/en-us/sql/database-engine/configure-windows/sql-server-2016-express-localdb?view=sql-server-2017
https://docs.microsoft.com/en-us/dotnet/api/system.guid.newguid?view=netframework-4.7.2
Thanks for your response. I do not intend to roll out a custom solution. It seems they had this feature in the preview version not in the GA version. Application Insights can be used alternatively, however it needs some knowledge on how queries work, more at docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/…
– Venkat Srinivasan
Nov 22 at 10:34
add a comment |
up vote
2
down vote
QnA Maker does not generate chatlogs by default. They currently do not offer any APIs to store chat logs.
Assuming you are using it in a form of a chatbot where question and answers are displayed concurrently, you could create a database instance that is stored locally such as SQL Server 2016.
Then by generating a unique GUID based on time of user visit store each chatlog in a table with the Primary key as 'GUID' followed by 'Question' and 'Answer' and 'Time'.
Example of potential answer model
namespace Frontend.Data {
public class Message {
[Key]
public string MessageId { get; set; }
public string ConversationId { get; set; }
public string Question { get; set; }
public string Answer { get; set; }
public DateTime MessageReceivedAtDateTime { get; set; }
public Message(string messageId, string conversationId, string question, string answer, string datestring) {
MessageId = messageId;
ConversationId = conversationId;
Answer = answer;
Question = question;
MessageReceivedAtDateTime = DateTimeOffset.Parse(datestring).UtcDateTime;
}
public Message() {}
}
However, you may have to tinker around with saving the question and answers as the user exits the program.
Depending on the language you are implementing QnA Maker, you may need to tweak some of these changes
https://docs.microsoft.com/en-us/sql/database-engine/configure-windows/sql-server-2016-express-localdb?view=sql-server-2017
https://docs.microsoft.com/en-us/dotnet/api/system.guid.newguid?view=netframework-4.7.2
Thanks for your response. I do not intend to roll out a custom solution. It seems they had this feature in the preview version not in the GA version. Application Insights can be used alternatively, however it needs some knowledge on how queries work, more at docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/…
– Venkat Srinivasan
Nov 22 at 10:34
add a comment |
up vote
2
down vote
up vote
2
down vote
QnA Maker does not generate chatlogs by default. They currently do not offer any APIs to store chat logs.
Assuming you are using it in a form of a chatbot where question and answers are displayed concurrently, you could create a database instance that is stored locally such as SQL Server 2016.
Then by generating a unique GUID based on time of user visit store each chatlog in a table with the Primary key as 'GUID' followed by 'Question' and 'Answer' and 'Time'.
Example of potential answer model
namespace Frontend.Data {
public class Message {
[Key]
public string MessageId { get; set; }
public string ConversationId { get; set; }
public string Question { get; set; }
public string Answer { get; set; }
public DateTime MessageReceivedAtDateTime { get; set; }
public Message(string messageId, string conversationId, string question, string answer, string datestring) {
MessageId = messageId;
ConversationId = conversationId;
Answer = answer;
Question = question;
MessageReceivedAtDateTime = DateTimeOffset.Parse(datestring).UtcDateTime;
}
public Message() {}
}
However, you may have to tinker around with saving the question and answers as the user exits the program.
Depending on the language you are implementing QnA Maker, you may need to tweak some of these changes
https://docs.microsoft.com/en-us/sql/database-engine/configure-windows/sql-server-2016-express-localdb?view=sql-server-2017
https://docs.microsoft.com/en-us/dotnet/api/system.guid.newguid?view=netframework-4.7.2
QnA Maker does not generate chatlogs by default. They currently do not offer any APIs to store chat logs.
Assuming you are using it in a form of a chatbot where question and answers are displayed concurrently, you could create a database instance that is stored locally such as SQL Server 2016.
Then by generating a unique GUID based on time of user visit store each chatlog in a table with the Primary key as 'GUID' followed by 'Question' and 'Answer' and 'Time'.
Example of potential answer model
namespace Frontend.Data {
public class Message {
[Key]
public string MessageId { get; set; }
public string ConversationId { get; set; }
public string Question { get; set; }
public string Answer { get; set; }
public DateTime MessageReceivedAtDateTime { get; set; }
public Message(string messageId, string conversationId, string question, string answer, string datestring) {
MessageId = messageId;
ConversationId = conversationId;
Answer = answer;
Question = question;
MessageReceivedAtDateTime = DateTimeOffset.Parse(datestring).UtcDateTime;
}
public Message() {}
}
However, you may have to tinker around with saving the question and answers as the user exits the program.
Depending on the language you are implementing QnA Maker, you may need to tweak some of these changes
https://docs.microsoft.com/en-us/sql/database-engine/configure-windows/sql-server-2016-express-localdb?view=sql-server-2017
https://docs.microsoft.com/en-us/dotnet/api/system.guid.newguid?view=netframework-4.7.2
answered Nov 13 at 20:30
Yanzal
414
414
Thanks for your response. I do not intend to roll out a custom solution. It seems they had this feature in the preview version not in the GA version. Application Insights can be used alternatively, however it needs some knowledge on how queries work, more at docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/…
– Venkat Srinivasan
Nov 22 at 10:34
add a comment |
Thanks for your response. I do not intend to roll out a custom solution. It seems they had this feature in the preview version not in the GA version. Application Insights can be used alternatively, however it needs some knowledge on how queries work, more at docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/…
– Venkat Srinivasan
Nov 22 at 10:34
Thanks for your response. I do not intend to roll out a custom solution. It seems they had this feature in the preview version not in the GA version. Application Insights can be used alternatively, however it needs some knowledge on how queries work, more at docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/…
– Venkat Srinivasan
Nov 22 at 10:34
Thanks for your response. I do not intend to roll out a custom solution. It seems they had this feature in the preview version not in the GA version. Application Insights can be used alternatively, however it needs some knowledge on how queries work, more at docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/…
– Venkat Srinivasan
Nov 22 at 10:34
add a comment |
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