Add ralph for xAPI statements generation in backend #2582
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Finally, we have integrated Ralph in marsha to help generate xAPI statements with Pydantic! However the integration is partial as statements are initialized from the frontend.
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| @@ -41,10 +42,12 @@ def _statement_from_lti( | |||
| xapi_logger = logging.getLogger(f"xapi.{consumer_site.domain}") | |||
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| # xapi statement enriched with video and jwt_token information | |||
| lti = LTI(request, object_instance) | |||
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As you are not in a LTI request you will have no relevant information.
IMO if you need to have an information from the LTI request, you have to set it in the JWT token and then retrieve it in it when you need it.
And to add the origin_url in the jwt token you should add it here I think
marsha/src/backend/marsha/core/simple_jwt/tokens.py
Lines 179 to 184 in 8b7f32c
| return ( | ||
| jwt_token.payload["user"].get("username") | ||
| if jwt_token.payload.get("user") | ||
| else None | ||
| ) |
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| return ( | |
| jwt_token.payload["user"].get("username") | |
| if jwt_token.payload.get("user") | |
| else None | |
| ) | |
| return jwt_token.payload.get("user", {}).get("username") |
| } | ||
| return BaseXapiAgentWithAccount( | ||
| account=BaseXapiAccount(homePage=homepage, name=str(user.id)), | ||
| name=user.username, |
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name field of the actor is optionnal. Should we avoid setting it, facilitating our future work on anonymization?
If we decide to keep it, should'nt it be a full name instead of username?
| "account": {"name": user_id, "homePage": homepage}, | ||
| } | ||
| return BaseXapiAgentWithAccount( | ||
| name=username, account=BaseXapiAccount(homePage=homepage, name=user_id) |
| statement = self.build_common_statement_properties( | ||
| statement, homepage, user=user, user_id=user_id | ||
| statement, homepage, user=user, user_id=user_id, username=username | ||
| ) | ||
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| statement["context"].update( | ||
| {"contextActivities": {"category": [{"id": "https://w3id.org/xapi/lms"}]}} | ||
| { | ||
| "contextActivities": { | ||
| "category": [LMSProfileActivity().model_dump(exclude_none=True)] | ||
| } | ||
| } | ||
| ) | ||
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| statement["object"] = { | ||
| "definition": { | ||
| "type": "http://id.tincanapi.com/activitytype/document", | ||
| "name": {self.get_locale(): document.title}, | ||
| }, | ||
| "id": f"uuid://{document.id}", | ||
| "objectType": "Activity", | ||
| } | ||
| statement["object"] = DocumentActivity( | ||
| definition=DocumentActivityDefinition( | ||
| name={self.get_locale(): document.title} | ||
| ), | ||
| id=f"uuid://{document.id}", | ||
| ).model_dump(exclude_none=True) |
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Would it be possible to use BaseXapiStatement from ralph to build these core properties?
| if statement["verb"]["id"] == "http://id.tincanapi.com/verb/downloaded": | ||
| statement["context"].update( | ||
| { | ||
| "contextActivities": { | ||
| "category": [LMSProfileActivity().model_dump(exclude_none=True)] | ||
| } | ||
| } | ||
| ) | ||
| else: | ||
| statement["context"].update( | ||
| { | ||
| "contextActivities": { | ||
| "category": [ | ||
| VideoProfileActivity().model_dump(exclude_none=True) | ||
| ] | ||
| } | ||
| } | ||
| ) |
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Same here, would it be possible to work with ralph pydantic models instead of modifying a dict directly?
We could use them without any validation using a .construct()
Purpose
We want to use Ralph to generate xAPI statements for videos, documents, webinar
and lives. Based on Pydantic models, it would strengthen validation to avoid potential
errors when statements are sent to a LRS.
Proposal