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Required parameters are marked with "*"
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Purpose
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This WS allows to get detailed observation info from Admin panel.
Specification
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Logic
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Key points
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This is a graphQl query used in Administration panel only
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Only authenticated and authorized NHS employee with appropriate scope can get observation details.
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Filtration with forbidden group items not implemented for observations, so it not used here.
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Query should be invoked only if /wiki/spaces/AFC/pages/16680386561 for monitoring exists for current user and corresponding patient (ABAC rule_-2).
Input parameters
Input parameter | Values | Type | Description | Example |
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patient_id | String | Unique patient identifier |
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id | String | Unique observation identifier |
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Request structure
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Authorize
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Verify the validity of access token
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Verify that token is not expired
in case of error - return 401 (“Invalid access token”)
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Check user scopes in order to perform this action (scope = 'observation:practical_monitor')
return 403 (“Your scope does not allow to access this resource. Missing allowances: observation:practical_monitor”) in case of invalid scope(s)
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Check user has access to resource according to @rule_-2 in ABAC
return 403 (“Access denied. Justification required“) in case of error
Request to process the request using a token in the headers
Headers
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Наприклад:
Content-Type:application/json
Authorization:Bearer mF_9.B5f-4.1JqM
Request data validation
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Validate legal entity
Extract client_id from token.
Check client scopes in order to perform this action (scope = 'observation:practical_monitor')
in case of error - return 403 (“Your scope does not allow to access this resource. Missing allowances: observation:practical_monitor”)
Check legal entity status (status = ACTIVE)
In case of error - return 409 ('client_id refers to legal entity that is not active')
Validate request
Check required
personId
submitted.return 404 (“not found“) in case not exist
Check required observation
Id
submitted.return 404 (“not found“) in case not exist or not related to person
Processing*
Service logic
Get observation by id and patient_id
Render detailed observation data according to schema
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Processing
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Response structure
See on Apiary
Example:
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Post-processing processes
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HTTP status codes
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