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RC_Offline comparison of change name acts with Persons (DRACS 2.0)
Purpose
This process fetches change name acts data from mimir service and uses it for comparison with persons data.
Key points
This process uses cron parameter to configure its start time.
This process is performed in mpi scheduler pod.
Configuration
Value | Description | Example |
---|---|---|
PERSONS_DRACS_CHANGE_NAME_ACTS_COMPARE_SCHEDULE | Cron parameter, represents start time of offline comparison of change name acts with persons process |
|
PERSONS_DRACS_CHANGE_NAME_ACTS_COMPARE_BATCH_SIZE | Number of change name acts that will be processed in one cycle of the process |
|
PERSON_DRACS_CHANGE_NAME_ACT_PARTIAL_MATCH_SCORE | Upper limit of comparison score for black zone, lower limit of comparison score for grey zone |
|
Service logic
Offline comparison job starts according to PERSONS_DRACS_CHANGE_NAME_ACTS_COMPARE_SCHEDULE cron parameter.
Step 1. Change name acts list for comparison
Get list of change name acts from that are ready to be compared to persons - perform RPC call to mimir service,
dracs_change_name_acts
table, with following parameters:ar_op_name = ‘1' or '4’
persons_compare_status = ‘READY’
Sort obtained list in ascending order by
dracs_change_name_acts.updated_at
fieldLimit obtained list with PERSONS_DRACS_CHANGE_NAME_ACTS_COMPARE_BATCH_SIZE value
In case no change name acts were fetched - end process.
Step 2. Data preparation and potential candidates select
Get change name act from obtained list, update its status in dracs_change_name_acts table:
set persons_compare_status = ‘IN_PROCESS’
Prepare change name act data for comparison process
perform regexp for each of the fields:
for old_name, old_surname, old_patronymic change:
[ --'] to ''
'є' to 'е'
'и' to 'і'
for sex change:
1 to MALE
2 to FEMALE
everything else to
null
for series_numb change:
[ /%#№ _-] to ''
for date_birth change mask from
dd.mm.yyyy
toyyyy-mm-dd
for numident normalize value - check that it is 10 symbols, if not true - set null
Get active persons (is_active=true, status=active) as candidates for comparison with data from change name act from MPI db using following predicate blocks:
tax_id
documents.number
birth_date + last_name
settlement_id + last_name
In case no candidates were found, update change name acts persons compare status:
set persons_compare_status = ‘PROCESSED’
Go to next change name act in obtained list (return to p.1 of Step 2)
Step 3. Change name act comparison process
Get person from obtained candidates list
Prepare persons data for comparison process according to Deduplication process NEW | Data cleaning and preparation
Define person’s document for Deduplication process:
If passport document type is present in the act (DocType=1), then choose person’s PASSPORT or NATIONAL_ID depending of the passport number in the act by regex.
If other document type is present in the act, then submit a list of documents to deduplication process: BIRTH_CERTIFICATE, COMPLEMENTARY_PROTECTION_CERTIFICATE PERMANENT_RESIDENCE_PERMIT, REFUGEE_CERTIFICATE, TEMPORARY_CERTIFICATE, TEMPORARY_PASSPORT
Compare change name act data with person data using logistic regression method, as implemented in Deduplication process:
For each variable field use separate calculation process based on the table below.
Calculate final comparison score between change name act and person.
Step 4. Verification candidates
Before performing this step, check that change name act record is still in persons_compare_status = 'IN_PROCESS'.
In case status is changed - skip this step, go to next change name act in obtained list (return to p.1 of Step 2).
Based on change name act and person comparison score, there are two flows that can be performed:
white zone or grey zone (comparison score is greater than PERSON_DRACS_CHANGE_NAME_ACT_PARTIAL_MATCH_SCORE value)
black zone (comparison score is less than PERSON_DRACS_CHANGE_NAME_ACT_PARTIAL_MATCH_SCORE value)
Step 4.1. White or grey zone
White or grey zone indicates that change name act possibly relates to person, therefore it can be stated that person changed its full name and it can be used by doctor as supporting information for update person process.
Create verification candidate between change name act and person in MPI db,
person_verification_candidates
table, set values:id = autogenerate uuid
person_id = id of a person from
mpi.persons
entity_id = id of change name act from
mimir.dracs_change_name_acts
entity_type = ‘dracs_change_name_act’
status = ‘NEW’
config = variables that were used in comparison process (p.3 of Step 3)
details = additional details of comparison process
score = logistic regression comparison score
inserted_at = now()
updated_at = now()
if active verification candidate between person_id and dracs_change_name_act_id already exists in person_verification_candidates table in status = ‘NEW’ - skip this pair
Update persons verification status in
person_verifications
table based on current dracs name change verification status of person:in case dracs_name_change_verification_status = ‘VERIFICATION_NOT_NEEDED’ or ‘VERIFIED’ - update persons dracs name change verification status:
set dracs_name_change_verification_status = ‘VERIFICATION_NEEDED’
set dracs_name_change_verification_reason = ‘AUTO_OFFLINE’
set updated_at = now()
set updated_by = system_user()
Step 4.2. Black zone
Black zone indicates that change name act does not relate to person, therefore it can be stated that person highly likely did not change its full name.
No further actions should be taken with person or verification candidates.
Step 5. Processed change name act
When change name act is fully compared with all candidates from list, change its status in
mimir.dracs_change_name_acts
tableset persons_compare_status = ‘PROCESSED’
Go to next change name act in obtained list (return to Step 2)
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