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Resources & Remarks Modification History
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By chunking up the system into microservices it can be tough to keep the overview of all available services, their relationships and dependencies to each other. The following graphical overview of our microservice architecture offers you a first entry point into the yuuvis® Momentum landscape. By providing further and more detailed examples based on special use cases (flows) you'll get a better and easy way of understanding our entire landscape.
Graphical Overview
For visualizing the topology of our microservices the following overview shows - on a higher level - many of our core microservices.
For understanding various flows - on a more granular level - check out the detailed diagrams visualizing special use case.
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To interact with yuuvis® it is necessary to log in with a user account. The user accounts are managed by at least one external identity provider.
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1. - HTTP request to any API endpoint, sending basic authentication or bearer token
2. - verify credentials externally
3. - receive auth code to authentication with auth code
4. - request roleset acquisition
5. - query user roleset externally
6. - receive user roleset
7. - present roleset
8. - provide authentication token and proceed with initial API request
9. - request information from other parts of the system
10. - obtain requested information
11. - produce API response
12. - send HTTP response to user
Webhook entry points
*1 - user.info
The authentication flow is always part of all described flows. It is used to get a valid authentication token for further processing. | ||
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1. - HTTP request to any API endpoint
2. - Redirect to Identification Provider
3. - Verify Credentials externally
4. - Redirect to authentication with Auth code
5. - Send Auth code to Authentication Service
6. - Retrieve UserId using Auth code
7. - Recieve UserId
8. - Request roleset acquisition
9. - Query user roleset
10. - Recieve user roleset
11. - Present roleset
12. - Provide authentication token and Proceed with initial API request
13. - Request information from other parts of the System
14. - Obtain requested information
15. - Produce API response
16. - Send HTTP response to User
Webhook entry points
*1 - user.info
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The authentication flow is always part of all described flows. It is used to get a valid authentication token for further processing. |
To interact with yuuvis® Momentum, it is necessary to log in with a user account. The user accounts are managed by at least one external identity provider.
>> Concept: Authentication against the Core API
>> Example Tutorial: Login to the Core API (Java)
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Importing Documents
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Documents can be imported into a yuuvis® Momentum system using the provided core API's HTTP requests for importing documents (POST /api/dms/objects). >>
>> Example Tutorial: Importing Documents via Core API
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Retrieval of Content by ID / Older Version
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1. - HTTP Post request containing metadata and content 2. - enrichment of request with authentication token 3. - defer content to storage services 3.1 - analyze content file 3.2 - skip content analyzer 4. - content storage handling 4.1 - using custom storage via archive service 4.2 - using s3 interface of repository 5. - create metadata based on previous steps 6. - write metadata to storage / index instances 7. - index new object in ES 8. - create initial audit entry 9. - create API response from metadata 10. - return metadata as HTTP response During asynchronous import operations, the controller service provides messaging for the boxed in services Webhook entry points *1 - dms.request.import.storage.before *2 - dms.response.objects |
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The content of already imported documents into the yuuvis® Momentum system can be retrieved using the provided core API's HTTP requests for retrieving content files (GET /api/dms/objects/{objectId}/contents/file). If a specific version of the document's content is to be requested, the endpoint to be called changes and includes the specific version (GET /api/dms/objects/{objectId}/versions/{versionNr}/contents/file). >>
>> Example Tutorial: Retrieving Documents via Core API
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Retrieval of Metadata by ID / Older Version
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1. - HTTP get request to object URL 2. - Enrichment of request with authentication Token 3. - Check for User Authorization using search service query 4. - Query elastic search for object ID 5. - Elasticsearch metadata response (if user is authorized) 6. - Repository url of 7. - Request content of 8. - Query 9. - Storage Provider binary content response 10. - Return object binary content 11. - Write CONTENT_ACCESSED audit entry 12. - Create API response from binary content 13. - Return HTTP binary content response |
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1. - HTTP get request to object URL 2. - Enrichment of request with authentication Token 3. - Check for User Authorization using search service query 4. - Query elastic search for object ID 5. - Elasticsearch metadata response (if user is authorized) 6. - Verify that user has object access rights 7. - Retrieve metadata version using Registry Service 8. - Query object metadata version from database 9. - Return metadata including Repository URL of content 10. - Return content Repo URL 11. - Request content of 12. - Query 13. - Storage Provider binary content response 14. - Return object binary content 15. - Write CONTENT_ACCESSED audit entry 16. - Create API response from binary content 17. - Return HTTP binary content response |
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The metadata of already imported documents into the yuuvis® Momentum system can be retrieved using the provided core API's HTTP requests for retrieving the metadata (GET /api/dms/objects/{objectId}). If a specific version or all versions of the document's metadata is to be requested, the endpoint to be called changes and includes the specific version (GET /api/dms/objects/{objectId}/versions / GET /api/dms/objects/{objectId}/versions/{versionNr}). >>
>> Example Tutorial: Retrieving Documents via Core API
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1. - HTTP get request to object URL
2. - Enrichment of request with authentication Token
3. - Request metadata
4. - Query objectId
in database
5. - DB metadata response
6. - Write METADATA_ACCESSED audit entry
7. - Return metadata object metadata
8. - Create API response from metadata
9. - Return HTTP metadata response
Webhook entry points
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title | Click here to show the metadata retrieval flow by ID >> |
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Search Queries
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1. - HTTP get request to object URL 2. - Enrichment of request with authentication Token 3. - Query Metadata availability using Search Service 4. - Query 5. - Elastic Search version data response 6. - Return registry link if user is authorized for to access the object 7. - Write METADATA_ACCESSED audit entry 8. - Retrieve metadata version using Registry Service 9. - Retrieve object version from data base 10. - Database object metadata response 11.- Return metadata object metadata 12. - Create API response from metadata 13. - Return HTTP metadata response Webhook entry points *1 - dms.response.objects |
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Already imported objects into the yuuvis® Momentum system can be queried using the provided core API's HTTP request with the search query as request body (POST /api/dms/objects/search).
>> Concept: >> Search Query Language
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Update Content
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1. - HTTP get request to object URL 2. - Enrichment of request with authentication Token 3. - Request query execution 4. - Translate and send ES query 5. - Receive ES query results 6. - Return metadata object list 7. - Create API response from metadata 8. - Return HTTP metadata response Webhook entry points *1 - dms.request.search *2 - dms.response.objects |
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The content of an already imported document into the yuuvis® Momentum system can be updated using the provided core API's HTTP requests for updating the content (POST /api/dms/objects/{objectId}/contents/file). >>
>> Example Tutorial: Updating Documents via Core API
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Update Metadata
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1. - HTTP post request to content url of object 2. - Enrichment of the Request with authentication token 3. - Verify user has writing permissions on object using Search Service 4. - Query object in Elastic Search 5. - Return ElasticSearch query results 6. - Return User Authorization Verification results 7. - Infer analysis of new content item 8. - Commit new content to storage 8.1 - Using custom storage via Archive Service 8.2 - Using s3 interface of repository 9. - Update object metadata 10. - Commit updated metadata to database 11. - Write CONTENT_UPDATED audit entry 12. - Index the updated metadata in ES 13. - Return updated metadata 14. - Create API response from metadata 15. - Return updated metadata Webhook entry points *1 - dms.response.objects |
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The metadata of an already imported document into the yuuvis® Momentum system can be updated using the provided core API's HTTP requests for updating the metadata (POST /api/dms/objects/{objectId} / PATCH /api/dms/objects/{objectId}). >>
>> Example Tutorial: Updating Documents via Core API
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Deletion
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1. - HTTP post request to object id URL 2. - Enrichment of request with authentication token 3. - Query for 4. - Query Elasticsearch for object 5. - Elasticsearch object response (if user is properly authenticated) 6. - Authorization Test query response 7. - Infer metadata validation and update 8. - Commit updated metadata to index (option 8.2 without s3) 9. - Index updated metadata in ES 10. - If Expiration Date has changed: update content storage via Archive Service 11. - Update metadata in Database 12. - Write METADATA_UPDATED audit entry 13. - Return updated metadata 14. - Create API response from metadata 15. - Return metadata HTTP response Webhook entry points *1 - dms.request.update.metadat *2 - dms.response.objects |
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An already imported document into the yuuvis® Momentum system can be deleted using the provided core API's HTTP requests for deleting documents (DELETE /api/dms/objects/{objectId}). >>
>> Example Tutorial: Deleting Documents via Core API
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title | Click here to show the deletion flow >> |
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1. - HTTP delete request to object id URL
2. - Enrichment of request with authentication token
3. - Query object using Search Service to verify user Authorization
4. - Query object in ElasticSearch
5. - ElasticSearch object reponse
6. - Authorization Verification Results
7. - Infer flag for deletion on object
8. - Flag as deleted in Database
9. - Flag as deleted in ElasticSearch via Index
10. - FLAGGED_FOR_DELETE audit entry
11. - Delete content through repository service
12. - Infer deletion of object in database
13. - Infer deletion of object in ElasticSearch
14. - OBJECT_DELETED audit entry
15. - Return Deletion Results
Webhook entry points
*1 - dms.response.objects
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