ג[i>#PdZddlZddlmZmZmZmZddlm Z GddZ dS)a/ Update Engine Service This module handles selective field updates for duplicate records. Users can choose which fields to update in existing MongoDB records. Key features: - Field-level update selection - Preview updates before applying - Support for nested field updates - Preserve unchanged fields N)DictAnyListOptional) JSONFlattenerc leZdZdZdZdeeeefde j fdZ de j deeee ffdZ de j deeeefdeeeeffdZ dd e j d eeede j fd Zd e j de j fd Zde j deeeffdZd S) UpdateEnginez Engine for handling selective field updates on duplicate records. Allows users to choose which fields to update in MongoDB when JSON contains updated information for existing records. c,t|_dS)zInitialize update engine.N)r flattener)selfs 2/var/www/html/IGF-ODF-V3/services/update_engine.py__init__zUpdateEngine.__init__s& duplicatesreturnc g}t|D]_\}}|d}|d}|d}d|D}d|D} t|t| z} t | D]} || } | | } | |vr | | vrd}d}n| |vr | | vrd}d }n| | krd }d }nd }d }|||rt|nd | || t| nd | t| nd |datj |S)aa Build a DataFrame for update preview with field selection. Args: duplicates: List of duplicate records with json_record and db_record Returns: DataFrame with columns: - _record_index: Index of the duplicate record - _db_id: MongoDB _id for update operation - field: Field name - status: 'new', 'different', 'missing_in_json', 'match' - json_value: Value from JSON - db_value: Value from MongoDB - _update_decision: 'skip', 'update' (user choice) json_record db_record_idcDi|]\}}|d||S_ startswith.0kvs r z?UpdateEngine.build_update_preview_dataframe..;s0YYYDAqq||TWGXGXY1aYYYrcDi|]\}}|d||Srrrs r rz?UpdateEngine.build_update_preview_dataframe..<s0UUU$!Q1<.s3cccAQRQ]Q]^aQbQbc1cccrrr<z$set)filterr" record_index)rDr1copyr unflattenr5)r rBrupdates_by_recordr:rF record_idxr*r, operations update_inforfields_to_updateunflattened_updatess r prepare_update_operationsz&UpdateEngine.prepare_update_operationsys*"++-- H HHC%&(2 _-JLE\*J!22  ] 11!*->H j )( 3E : : '8'>'>'@'@   #J x( %Z0?K +8499;;  dc1A1G1G1I1Iccc #'.":":;K"L"L     +g"67!#67 *     rNdf status_filterc|}|r(|d|}d|j|df<nd|d<|S)a Mark all fields (or filtered fields) for update. Args: df: Preview DataFrame status_filter: Optional list of statuses to update (e.g., ['new', 'different']) Returns: Updated DataFrame r+r"r.)rNisinloc)r rWrXmasks r mark_all_for_updatez UpdateEngine.mark_all_for_updatesUWWYY  .h<$$]33D/7BF4++ , ,%-B! " rc8|}d|d<|S)z Mark all fields to skip (no updates). Args: df: Preview DataFrame Returns: Updated DataFrame r$r.)rN)r rWs r mark_all_for_skipzUpdateEngine.mark_all_for_skips!WWYY!'  rc <|d}|d}||ddkd}t||ddk}t|||dd||dd|dd|d d|d dd S) z Get summary of pending updates. Args: preview_df: Preview DataFrame with update decisions Returns: Dictionary with update statistics r+r.r"r(r$rr!r%r#r&) total_fieldsrTfields_to_skiprecords_to_update new_fieldsdifferent_fieldsmissing_fieldsmatching_fields) value_countsto_dictnuniquelenr0)r rB status_countsdecision_countsrcrTs r get_update_summaryzUpdateEngine.get_update_summarys#8,99;;CCEE %%78EEGGOOQQ'z2D'E'QRSbckkmmz*5G*HH*TUVV OO 0-11&!<rxs  ,,,,,,,,,,,,111111v v v v v v v v v v r