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271 Commits

Author SHA1 Message Date
Michele Artini 4752d60421 Merge branch 'master' of code-repo.d4science.org:D-Net/dnet-hadoop 2024-05-29 14:23:14 +02:00
Claudio Atzori 795e1b2629 Merge pull request '[graph indexing] sets spark memoryOverhead in the join operations to the same value used for the memory executor' (#426) from provision_memoryOverhead into master
Reviewed-on: #426
2024-04-19 16:59:45 +02:00
Claudio Atzori 0c05abe50b [graph indexing] sets spark memoryOverhead in the join operations to the same value used for the memory executor 2024-04-19 16:57:55 +02:00
Claudio Atzori 8fdd0244ad Merge pull request 'Various fixes for the stats DB update workflow, step16-createIndicatorsTables.sql' (#425) from stats_step16_fix into master
Reviewed-on: #425
2024-04-18 11:25:24 +02:00
Claudio Atzori 18fdaaf548 integrating suggestion from #9699 to improve the result_country table construction 2024-04-18 11:23:43 +02:00
Claudio Atzori 43e123c624 added column alias 2024-04-17 16:40:29 +02:00
Claudio Atzori 62a07b7add added missing end of statement /*EOS*/ 2024-04-17 15:13:28 +02:00
Claudio Atzori 96bddcc921 revised query implementation for indi_pub_gold_oa 2024-04-17 15:06:50 +02:00
Miriam Baglioni 0486cea4c4 removed the funder id : 100011062 Asian Spinal Cord Network, wrongly associated to Ireland 2024-04-16 15:36:40 +02:00
Claudio Atzori 013935c593 Merge pull request 'Improvements to copying data from ocean to impala' (#420) from antonis.lempesis/dnet-hadoop:beta into master
Reviewed-on: #420
2024-04-16 14:17:47 +02:00
Lampros Smyrnaios d7da4f814b Minor updates to the copying operation to Impala Cluster:
- Improve logging.
- Code optimization/polishing.
2024-04-12 18:12:06 +03:00
Lampros Smyrnaios 14719dcd62 Miscellaneous updates to the copying operation to Impala Cluster:
- Update the algorithm for creating views that depend on other views.
- Add check for successful execution of the "hadoop distcp" command.
- Add a check for successful copy operation of all entities.
- Upon facing an error in a DB, exit the method, instead of the whole script.
- Improve logging.
- Code polishing.
2024-04-12 15:36:13 +03:00
Lampros Smyrnaios 22745027c8 Use the "HADOOP_USER_NAME" value from the "workflow-property", in "copyDataToImpalaCluster.sh", in "stats-monitor-updates". 2024-04-11 17:46:33 +03:00
Lampros Smyrnaios abf0b69f29 Upgrade the copying operation to Impala Cluster:
- Use only hive commands in the Ocean Cluster, as the "impala-shell" will be removed from there to free-up resources.
- Hugely improve the performance in every aspect of the copying process: a) speedup file-transferring and DB-deletion, b) eliminate permissions-assignment, "load" operations and "use $db" queries, c) retry only the "create view" statements and only as long as they depend on other non-created views, instead of trying to recreate all tables and views 5 consecutive times.
- Add error-checks for the creation of tables and views.
2024-04-11 17:12:12 +03:00
Claudio Atzori 6132bd028e Merge pull request 'Extend Crossref-funders mapping and datacite hostedbymap' (#417) from CrossrefFundersMap into master
Reviewed-on: #417
2024-04-09 10:30:53 +02:00
Miriam Baglioni 519db1ddef Extended mapping of funder from crossref (#9169, #9277) and change the correspondece files for the irish fundrs (#9635). Extended the datacite map to include the association between metadata and the EBRAINS datasource (SciLake) 2024-04-09 09:33:09 +02:00
Claudio Atzori 5add51f38c Merge pull request 'fixed the result_country definition and updated the stats DB copy procedure' (#412) from antonis.lempesis/dnet-hadoop:beta into master
Reviewed-on: #412
2024-04-03 12:34:17 +02:00
Lampros Smyrnaios b7c8acc563 - Update the code which acquires the "IMPALA_HDFS_NODE", to test the "tmp"-dir, instead of the base-dir and introduce retries, to overcome potential file-system failures. This change was suggested by "Sebastian Tymkow" and "Grzegorz Bakalarski".
- Fix typos.
2024-04-03 13:15:37 +03:00
Antonis Lempesis df6e3bda04 added new orgs in monitor 2024-04-01 22:45:29 +03:00
Antonis Lempesis 573b081f1d added new orgs in monitor 2024-04-01 22:24:46 +03:00
Antonis Lempesis 0bf2a7a359 fixed the result_country definition 2024-04-01 15:23:22 +03:00
Claudio Atzori f01390702e Merge pull request 'fixed typo in indicator query' (#410) from antonis.lempesis/dnet-hadoop:beta into master
Reviewed-on: #410
2024-03-27 13:42:07 +01:00
Antonis Lempesis 9ff44eed96 fixed typo in indicator query
added more institutions
2024-03-27 14:39:01 +02:00
Claudio Atzori 5592ccc37a Merge pull request 'added missing EOS, Generate tables with parquet-files, instead of csv in the contexts.sh script' (#408) from antonis.lempesis/dnet-hadoop:beta into master
Reviewed-on: #408
2024-03-27 12:02:57 +01:00
Antonis Lempesis 1fee4124e0 added missing EOS 2024-03-27 12:58:25 +02:00
Claudio Atzori d16c15da8d adjusted pom files 2024-03-26 14:00:44 +01:00
Lampros Smyrnaios 036ba03fcd Generate tables with parquet-files, instead of csv, in "dhp-stats-update/.../contexts.sh" script. 2024-03-26 13:29:04 +02:00
Claudio Atzori 09a6d17059 Merge pull request '[Stats wf] #372, #405 to production' (#406) from antonis.lempesis/dnet-hadoop:beta into master
Reviewed-on: #406
2024-03-26 12:18:26 +01:00
Claudio Atzori d70793847d resolving conflicts on step16-createIndicatorsTables.sql 2024-03-26 12:17:52 +01:00
Lampros Smyrnaios bc8c97182d Automatically select the ACTIVE HDFS NODE for Impala cluster, in all "copyDataToImpalaCluster.sh" scripts. 2024-03-26 13:01:12 +02:00
Lampros Smyrnaios 92cc27e7eb Use the ACTIVE HDFS NODE for Impala cluster, in "copyDataToImpalaCluster.sh" script. 2024-03-26 12:34:11 +02:00
Michele De Bonis f6601ea7d1 default parameters for openorgs updated 2024-03-25 13:07:04 +01:00
Michele De Bonis cd4c3c934d openorgs wf updated 2024-03-22 15:42:37 +01:00
Antonis Lempesis 4c40c96e30 code cleanup 2024-03-22 10:16:49 +02:00
Antonis Lempesis 459167ac2f Merge branch 'beta' of https://code-repo.d4science.org/antonis.lempesis/dnet-hadoop into beta 2024-03-21 12:44:58 +02:00
Antonis Lempesis 07f634a46d code cleanup 2024-03-21 12:44:30 +02:00
Antonis Lempesis 9521625a07 code cleanup 2024-03-21 11:45:08 +02:00
Antonis Lempesis 67a5aa0a38 Merge branch 'beta' of https://code-repo.d4science.org/antonis.lempesis/dnet-hadoop into beta 2024-03-19 11:24:54 +02:00
dimitrispie a3a570e9a0 Commit monitor-updates-wf 2024-03-19 09:42:21 +02:00
Michele Artini 7a934affd8 oaf:country mapping 2024-03-15 10:57:12 +01:00
Michele Artini a99942f7cf filter by base types 2024-03-13 12:12:42 +01:00
Michele Artini 7f7083f53e updated sql query for filtering BASE records 2024-03-13 11:57:26 +01:00
Michele Artini d9b23a76c5 comments 2024-03-12 14:53:34 +01:00
Michele Artini 841ca92246 Merge pull request 'new plugin to collect from a dump of BASE' (#400) from base-collector-plugin into master
Reviewed-on: #400
2024-03-12 12:22:42 +01:00
Michele Artini 3bcfc40293 new plugin to collect from a dump of BASE 2024-03-12 12:17:58 +01:00
Antonis Lempesis f74c7e8689 selecting distinct peer_reviewed 2024-03-12 02:13:04 +02:00
Antonis Lempesis 3c79720342 fixed the irish result subset 2024-03-07 14:08:57 +02:00
Antonis Lempesis 5ae4b4286c Merge branch 'beta' of https://code-repo.d3science.org/antonis.lempesis/dnet-hadoop into beta 2024-03-07 12:15:19 +02:00
Antonis Lempesis 316d585c8a using distinct apcs per publication to avoid huge sums 2024-03-07 02:07:59 +02:00
Giambattista Bloisi 3067ea390d Use SparkSQL in place of Hive for executing step16-createIndicatorsTables.sql of stats update wf 2024-03-04 11:13:34 +01:00
Miriam Baglioni c94d94035c [BulkTagging] added check to verify if field is present in the pathMap 2024-02-28 09:41:42 +01:00
Michele Artini 4374d7449e mapping of project PIDs 2024-02-22 14:44:35 +01:00
Claudio Atzori 07d009007b Merge pull request 'Fixed problem on missing author in crossref Mapping' (#384) from crossref_missing_author_fix_master into master
Reviewed-on: #384
2024-02-15 15:06:17 +01:00
Claudio Atzori 071d044971 Merge branch 'master' into crossref_missing_author_fix_master 2024-02-15 15:04:19 +01:00
Claudio Atzori b3ddbaed58 fixed import of ORPs stored on HDFS in the internal graph format (e.g. Datacite) 2024-02-15 15:02:48 +01:00
Claudio Atzori 1416f16b35 [graph raw] fixed mapping of the original resource type from the Datacite format 2024-02-09 10:19:53 +01:00
Giambattista Bloisi ba1a0e7b4f Merge pull request 'Set deletedbyinference =true to dedup aliases, created when a dedup in a previous build has been merged in a new dedup' (#392) from fix_dedupaliases_deletedbyinference into master
Reviewed-on: #392
2024-02-08 15:29:29 +01:00
Giambattista Bloisi 079085286c Merge branch 'master' into fix_dedupaliases_deletedbyinference 2024-02-08 15:29:13 +01:00
Giambattista Bloisi 8dd666aedd Dedup aliases, created when a dedup in a previous build has been merged in a new dedup, need to be marked as "deletedbyinference", since they are "merged" in the new dedup 2024-02-08 15:27:57 +01:00
Claudio Atzori f21133229a Merge pull request 'Support for the PromoteAction strategy [master]' (#391) from promote_actions_join_type_master into master
Reviewed-on: #391
2024-02-08 15:12:16 +01:00
Claudio Atzori d86b909db2 [actiosets] fixed join type 2024-02-08 15:10:55 +01:00
Claudio Atzori 08162902ab [actiosets] introduced support for the PromoteAction strategy 2024-02-08 15:10:40 +01:00
Antonis Lempesis dd4c27f4f3 added 2 new institutions in monitor 2024-02-08 12:57:57 +02:00
Claudio Atzori e8630a6d03 [graph cleaning] rule out datasources without an officialname 2024-02-05 14:59:06 +02:00
Claudio Atzori f28c63d5ef [orcid enrichment] fixed directory cleanup before distcp 2024-02-05 09:44:56 +02:00
Antonis Lempesis a512ead447 changed orcid ids to all capital 2024-01-30 16:54:47 +02:00
Claudio Atzori 1a8b609ed2 code formatting 2024-01-30 11:34:16 +01:00
Antonis Lempesis bb10a22290 merged changes from dnet-hadoop 2024-01-29 21:51:47 +02:00
Miriam Baglioni 4c8706efee [orcid-enrichment] change the value of parameters. 2024-01-29 18:21:36 +01:00
Claudio Atzori 4d0c59669b merged changes from beta 2024-01-26 16:08:54 +01:00
Sandro La Bruzzo 3c8c88bdd3 Fixed problem on missing author in crossref Mapping 2024-01-26 12:29:30 +01:00
Antonis Lempesis c548796463 Changed step16-createIndicatorsTables to use a spark oozie action instead of hive 2024-01-26 02:04:48 +02:00
Antonis Lempesis fd43b0e84a max mem of joins (hive.mapjoin.followby.gby.localtask.max.memory.usage) now 80%, up from 55%. 2024-01-25 15:06:34 +01:00
Antonis Lempesis e024718f73 creating result_instances even when no pids exist for the instance 2024-01-10 22:25:50 +01:00
dimitrispie b920307bdd Changes to indicators 2024-01-09 00:47:09 +02:00
dimitrispie 8b2cbb611e Changes to beta db names 2024-01-09 00:40:56 +02:00
Antonis Lempesis 2e4cab026c fixed the result_country definition 2024-01-08 16:01:26 +02:00
dimitrispie 6b823100ae Update buildIrishMonitorDB.sql
New indicators added
2024-01-07 22:54:39 +02:00
dimitrispie 75bfde043c Historical Snapshots Workflow
Create historical snapshots db with parameters:

hist_db_name=openaire_beta_historical_snapshots_xxx
hist_db_name_prev=openaire_beta_historical_snapshots_xxx (previous run of wf)
stats_db_name=openaire_beta_stats_xxx
stats_irish_db_name=openaire_beta_stats_monitor_ie_xxx
monitor_db_name=openaire_beta_stats_monitor_xxx
monitor_db_prod_name=openaire_beta_stats_monitor
monitor_irish_db_name=openaire_beta_stats_monitor_ie_xxx
monitor_irish_db_prod_name=openaire_beta_stats_monitor_ie
hist_db_prod_name=openaire_beta_historical_snapshots
hist_db_shadow_name=openaire_beta_historical_snapshots_shadow
hist_date=122023
hive_timeout=150000
hadoop_user_name=xxx
resumeFrom=CreateDB
2024-01-04 15:11:04 +02:00
dimitrispie ffdd03d2f4 Monitor Irish Stats WF
Parameters (with examples):
stats_db_name=openaire_beta_stats_20231208
monitor_irish_db_name=openaire_beta_stats_monitor_ie_20231208b
monitor_irish_db_prod_name=openaire_beta_stats_monitor_ie
graph_db_name=openaire_beta_20231208
monitor_irish_db_shadow_name=openaire_beta_stats_monitor_ie_shadow
hive_timeout=150000
hadoop_user_name=dnet.beta
resumeFrom=Step1-buildIrishMonitorDB
2023-12-22 11:05:24 +02:00
dimitrispie 40b98d8182 Changes to indicators and funders definition
- Changes result_refereed definition
- Added result_country indicator
- Added indi_pub_green_with_license indicator
- Added country from jurisdiction to funders
2023-12-22 10:29:20 +02:00
Claudio Atzori 106968adaa Merge branch 'master' of https://code-repo.d4science.org/D-Net/dnet-hadoop 2023-12-21 12:26:29 +01:00
Claudio Atzori a8a4db96f0 added metaresourcetype to the result hive DB view 2023-12-21 12:26:19 +01:00
Sandro La Bruzzo 37e36baf76 updated workflow for generation of Scholix Datasource's to use mdstore transactions 2023-12-18 16:05:35 +01:00
Sandro La Bruzzo 9d39845d1f uploaded input parameters on CreateBaseline WF 2023-12-18 12:23:12 +01:00
Sandro La Bruzzo 1fbd4325f5 Merge branch 'master' of code-repo.d4science.org:D-Net/dnet-hadoop 2023-12-18 11:47:17 +01:00
Sandro La Bruzzo 1f1a6a5f5f updated the transformation Baseline workflow to include mdstore rollback/commit action 2023-12-18 11:47:00 +01:00
Claudio Atzori c4ec35b6cd Merge pull request 'Master branch updates from beta December 2023' (#369) from beta_to_master_dicember2023 into master
Reviewed-on: #369
2023-12-15 11:18:30 +01:00
Claudio Atzori 1726f49790 code formatting 2023-12-15 10:37:02 +01:00
Claudio Atzori 1763d377ad code formatting 2023-11-23 16:33:24 +01:00
Claudio Atzori a0311e8a90 Merge pull request 'Clear working dir in bipranker workflow' (#360) from 9120_bipranker_clean_working_dir into master
Reviewed-on: #360
2023-11-22 14:10:39 +01:00
Claudio Atzori 8fb05888fd Merge branch 'master' into 9120_bipranker_clean_working_dir 2023-11-22 14:10:30 +01:00
Claudio Atzori 2b626815ff Merge pull request 'Project propagation via communityAPI instead of using IS via IIS' (#362) from projectPropagation into master
Reviewed-on: #362
2023-11-14 16:37:53 +01:00
Miriam Baglioni b177cd5a0a Project propagation via communityAPI instead of using IS via IIS 2023-11-14 16:25:09 +01:00
Serafeim Chatzopoulos 671ba8a5a7 Clear working dir in bipranker workflow 2023-11-07 18:35:05 +02:00
Claudio Atzori 5f1ed61c1f merging from bulkTag branch 2023-11-03 12:51:37 +01:00
Claudio Atzori 8c03c41d5d applying changes from beta 2023-11-03 12:08:39 +01:00
Claudio Atzori 97454e9594 Merge pull request '9117_pubmed_affiliations_prod' (#357) from 9117_pubmed_affiliations_prod into master
Reviewed-on: #357
2023-11-03 11:45:34 +01:00
Serafeim Chatzopoulos 7e34dde774 Renaming input param for crossref input path 2023-11-02 17:47:04 +02:00
Serafeim Chatzopoulos 24c3f92d87 Change the description of the workflow 2023-11-02 17:46:51 +02:00
Serafeim Chatzopoulos 6ce9b600c1 Add actionset creation for pubmed affiliations 2023-11-02 17:46:39 +02:00
Serafeim Chatzopoulos 94089878fd Adjust tests to new WF input params 2023-11-02 17:46:13 +02:00
Miriam Baglioni 0097f4e64b Removed Query community testing. Removed package from common related to the interaction with Zenodo since it was moved to the dump-project 2023-10-26 09:38:09 +02:00
Miriam Baglioni 5c5a195e97 refactoring and fixing issue on property name 2023-10-23 11:26:17 +02:00
Miriam Baglioni 70b78a40c7 removed file from different propagation 2023-10-20 15:50:49 +02:00
Miriam Baglioni f206ff42d6 modified code to use the the API. Removing not needed parameters. Rewritten the code to exploit the parallel stream on the entity types 2023-10-20 15:49:41 +02:00
Miriam Baglioni 34358afe75 modified resource file, workflow anf default-config. Add 3g of memory Overhead and specified the shuffle partition in the wf confiduration. Removed the multiple instantiation in the wf because of different implementation of the spark job 2023-10-20 15:48:27 +02:00
Miriam Baglioni 18bfff8af3 adding test classes and modifying test for bulktag 2023-10-20 15:47:03 +02:00
Miriam Baglioni 69dac91659 adding the new code to use the API instead of the Information Service 2023-10-20 15:45:52 +02:00
Miriam Baglioni a9ede1e989 Merge branch 'master' of https://code-repo.d4science.org/D-Net/dnet-hadoop 2023-10-20 10:14:43 +02:00
Claudio Atzori 242d647146 cleanup & docs 2023-10-12 12:23:44 +02:00
Claudio Atzori af3ffad6c4 [AMF] docs 2023-10-12 10:07:52 +02:00
Claudio Atzori ba5475ed4c Merge pull request 'Fix cleaning of Pmid where parsing of numbers stopped at first not leading 0 (zero) character' (#345) from fix_truncated_pmid into master
Reviewed-on: #345
2023-10-06 14:19:49 +02:00
Giambattista Bloisi 2c235e82ad Fix cleaning of Pmid where parsing of numbers stopped at first not leading 0' character 2023-10-06 12:35:54 +02:00
Claudio Atzori 4ac06c9e37 Merge pull request 'Fix bug in conversion from dedup json model to Spark Dataset of Rows (instanceTypeMatch no longer working)' (#339) from fix_dedupfailsonmatchinginstances into master
Reviewed-on: #339
2023-10-02 11:34:20 +02:00
Claudio Atzori fa692b3629 Merge branch 'master' into fix_dedupfailsonmatchinginstances 2023-10-02 11:28:16 +02:00
Claudio Atzori ef02648399 Merge pull request 'fixed dedup configuration management in the Broker workflow' (#341) from fix_8997 into master
Reviewed-on: #341
2023-10-02 11:03:50 +02:00
Claudio Atzori d13bb534f0 Merge branch 'master' into fix_8997 2023-10-02 11:03:18 +02:00
Giambattista Bloisi 775c3f704a Fix bug in conversion from dedup json model to Spark Dataset of Rows: list of strings contained the json escaped representation of the value instead of the plain value, this caused instanceTypeMatch failures because of the leading and trailing double quotes 2023-09-27 22:30:47 +02:00
Sandro La Bruzzo 9c3ab11d5b Merge branch 'master' of code-repo.d4science.org:D-Net/dnet-hadoop 2023-09-25 15:29:19 +02:00
Sandro La Bruzzo 423ef30676 minor fix on the aggregation of uniprot and pdb 2023-09-25 15:28:58 +02:00
Giambattista Bloisi 7152d47f84 Use asScala to convert java List to Scala Sequence 2023-09-20 16:14:27 +02:00
Claudio Atzori 4853c19b5e code formatting 2023-09-20 15:53:21 +02:00
Giambattista Bloisi 1f226d1dce Fix defect #8997: GenerateEventsJob is generating huge amounts of logs because broker entity similarity calculation consistently failed 2023-09-20 15:42:00 +02:00
Alessia Bardi 6186cdc2cc Use v5 of the UNIBI Gold ISSN list in test 2023-09-19 14:47:01 +02:00
Alessia Bardi d94b9bebf7 Merge branch 'master' of https://code-repo.d4science.org/D-Net/dnet-hadoop 2023-09-19 13:38:45 +02:00
Alessia Bardi 19abba8fa7 tests for d4science catalog 2023-09-19 13:38:25 +02:00
Claudio Atzori c2f179800c Merge pull request 'Run CC and RAM sequentieally in dhp-impact-indicators WF' (#338) from run_cc_and_ram_sequentially into master
Reviewed-on: #338
2023-09-13 08:52:53 +02:00
Serafeim Chatzopoulos 2aed5a74be Run CC and RAM sequentieally in dhp-impact-indicators WF 2023-09-12 22:31:50 +03:00
Claudio Atzori 4dc4862011 Merge branch 'master' of https://code-repo.d4science.org/D-Net/dnet-hadoop 2023-09-12 14:34:34 +02:00
Claudio Atzori dc80ab14d3 [graph dedup] consistency wf should not remove the relations while dispatching the entities 2023-09-12 14:34:28 +02:00
Alessia Bardi 77a2199837 updated test for EOSC comunity 2023-09-08 11:05:49 +02:00
Claudio Atzori 265180bfd2 added Archive ouverte UNIGE (ETHZ.UNIGENF, opendoar____::1400) to the Datacite hostedBy_map 2023-09-07 11:20:35 +02:00
Claudio Atzori da0e9828f7 resolved conflicts for PR#337 2023-09-06 11:28:46 +02:00
Miriam Baglioni 599828ce35 Merge branch 'master' of https://code-repo.d4science.org/D-Net/dnet-hadoop 2023-08-09 13:07:13 +02:00
Claudio Atzori 0bc74e2000 code formatting 2023-08-02 11:52:10 +02:00
Claudio Atzori 7180911ded [graph cleaning] fixed regex behaviour for cleaning ROR and GRID identifiers, added tests 2023-08-02 11:44:14 +02:00
Claudio Atzori da1727f93f rule out records with NULL dataInfo, except for Relations 2023-07-31 17:52:56 +02:00
Claudio Atzori ccac6a7f75 rule out records with NULL dataInfo 2023-07-31 12:35:05 +02:00
Claudio Atzori d512df8612 code formatting 2023-07-26 09:14:08 +02:00
Claudio Atzori 59764145bb cherry picked & fixed commit 270df939c4 2023-07-25 17:39:00 +02:00
Miriam Baglioni 9e8e39f78a - 2023-07-19 11:35:58 +02:00
Claudio Atzori 373a5f2c83 Merge pull request 'Master branch updates from beta July 2023' (#317) from master_july23 into master
Reviewed-on: #317
2023-07-18 18:22:04 +02:00
Claudio Atzori 8af129b0c7 merged stats promotion step from antonis/promotion-prod-only 2023-07-13 15:03:28 +02:00
dimitrispie 706092bc19 Update updateProductionViews.sh 2023-07-13 15:48:12 +03:00
dimitrispie aedd279f78 Updates Promotion DBs
- Add a step for promoting the splitted monitor DBs
2023-07-13 15:35:46 +03:00
Miriam Baglioni 8dcd028eed [UsageCount] fixed typo in attribute name for datasource table 2023-07-01 16:07:22 +02:00
Miriam Baglioni 8621377917 [UsageCount] fixed typo in attribute name for datasource table 2023-06-30 19:02:44 +02:00
Miriam Baglioni ef2dd7a980 resolved conflicts 2023-06-30 18:59:47 +02:00
Claudio Atzori f3a85e224b merged from branch beta the bulk tagging (single step, negative constraints), the cleanig worflow (single step, pid type based cleaning), instance level fulltext 2023-06-28 13:33:57 +02:00
Claudio Atzori 4ef0f2ec26 added dependency commons-validator:commons-validator:1.7 2023-06-28 13:32:01 +02:00
Claudio Atzori 288ec0b7d6 [doiboost] merged workflow from branch beta 2023-06-28 09:15:37 +02:00
Claudio Atzori 5f32edd9bf adopting dhp-schema:3.17.1 2023-06-27 16:57:17 +02:00
Claudio Atzori e10ce92fe5 [stats wf] merged workflows from branch beta 2023-06-27 14:32:48 +02:00
Claudio Atzori b93e1541aa Merge pull request 'update sql query to return distinct pids' (#301) from distinct_pids_from_openorgs into master
Reviewed-on: #301
2023-06-27 12:24:47 +02:00
Claudio Atzori d029bf0b94 Merge branch 'master' into distinct_pids_from_openorgs 2023-06-27 12:24:35 +02:00
Michele Artini 009d7f312f fixed a datasource Id 2023-06-21 16:17:34 +02:00
Miriam Baglioni e4b27182d0 [master] refactoring 2023-06-21 11:15:53 +02:00
Giambattista Bloisi 758e662ab8 Revert "REmove duplicated code and ensure that load and initialization is done through "DedupConfig.load" method"
This reverts commit 485f9d18cb.
2023-06-19 13:08:10 +02:00
Giambattista Bloisi 485f9d18cb REmove duplicated code and ensure that load and initialization is done through "DedupConfig.load" method 2023-06-19 13:00:02 +02:00
Michele Artini a92206dab5 re-added the name of a column (pid) 2023-06-13 11:43:10 +02:00
Miriam Baglioni d9506035e4 [ZenodoApi] gone back to okhttp3 to send the payload. 2023-06-09 12:05:02 +02:00
Alessia Bardi 118e72d7db Updated officialnmae of pangaea in hostedbymap for Datacite to avoid duplicate entries in the source filter of the portal 2023-06-06 14:39:12 +02:00
Alessia Bardi 5befd93d7d test records for Solr indexing 2023-06-06 14:34:33 +02:00
Michele Artini cae92cf811 update sql query to return distinct pids 2023-06-06 14:06:06 +02:00
Miriam Baglioni b64a5eb4a5 Merge branch 'master' of https://code-repo.d4science.org/D-Net/dnet-hadoop 2023-05-24 15:21:58 +02:00
Claudio Atzori 654ffcba60 Merge pull request '[UsageCount] addition of usagecount for Projects and datasources' (#296) from master_datasource_project_usagecounts into master
Reviewed-on: #296
2023-05-22 16:13:24 +02:00
Claudio Atzori db625e548d [UsageCount] addition of usagecount for Projects and datasources 2023-05-22 15:00:46 +02:00
Alessia Bardi 04141fe259 tests for records from D4Science catalogues 2023-05-19 14:28:24 +02:00
Alessia Bardi b88f009d9f combined level 4 and 6 for the demo 2023-04-24 12:10:33 +02:00
Alessia Bardi 5ffe82ffd8 aligned to current DMF index layout on production 2023-04-24 12:09:55 +02:00
Alessia Bardi 1c173642f0 removed level5 from test records 2023-04-24 09:32:32 +02:00
Alessia Bardi 382f46a8e4 tests to generate the XML records for the index for the EDITH demo on digital twins, integrating output from the FoS classifier 2023-04-21 16:46:30 +02:00
Miriam Baglioni 9fc8ebe98b refactoring 2023-04-19 09:32:13 +02:00
Miriam Baglioni 24c41806ac [ZenodoApiClienttest] change test to mirror change in the omplementation 2023-04-18 09:08:09 +02:00
Miriam Baglioni 087b5a7973 [ZenodiAPIClient] new version of the API to connect to Zenodo (change the http client 2023-04-17 18:59:22 +02:00
Claudio Atzori 688e3b7936 added eoscifguidelines in the result view; removed compute statistics statements 2023-04-11 11:45:56 +02:00
Claudio Atzori 2e465915b4 [graph to Solr] using dedicated sparkExecutorCores, sparkExecutorMemory, sparkDriverMemory in convert_to_xml 2023-04-11 10:43:44 +02:00
Claudio Atzori 4a4ca634f0 Merge pull request 'advConstraintsInBeta' (#288) from advConstraintsInBeta into master
Reviewed-on: #288
2023-04-06 15:24:23 +02:00
Miriam Baglioni c6a7602b3e refactoring after compilation 2023-04-06 14:45:01 +02:00
Miriam Baglioni 831055a1fc change of the property for test purposes, addition of two new verbs, and fix of issue for advanced constraints 2023-04-06 14:41:32 +02:00
Miriam Baglioni cf3d0f4f83 fixed issue on bulktagging for the advanced constraints 2023-04-06 12:17:35 +02:00
Claudio Atzori 4f67225fbc Merge pull request 'doiboostMappingExtention' (#286) from doiboostMappingExtention into master
Reviewed-on: #286
2023-04-06 09:25:08 +02:00
Claudio Atzori e093f04874 Merge pull request 'AdvancedConstraint' (#285) from advConstraintsInBeta into master
Reviewed-on: #285
2023-04-06 09:24:54 +02:00
Miriam Baglioni c5a9f39141 Extended the association project - result in the mapping from CrossRef 2023-04-05 16:48:36 +02:00
Miriam Baglioni ecc05fe0f3 Added the code for the advancedConstraint implementation during the bulkTagging 2023-04-05 16:40:29 +02:00
Claudio Atzori 42442ccd39 Merge pull request 'updated the order of the compatibilities' (#275) from compatibility_order into master
Reviewed-on: #275
2023-04-05 12:44:14 +02:00
Miriam Baglioni 9a9cc6a1dd changed the way the tar archive is build to support renaming in case we need to change .tt.gz into .json.gz 2023-04-04 11:40:58 +02:00
Michele Artini 200098b683 updated the order of the compatibilities 2023-02-22 11:52:59 +01:00
Michele Artini 9c1df15071 null values in date range conditions 2023-02-13 16:05:58 +01:00
Miriam Baglioni 32870339f5 refactoring after compile 2023-02-13 13:06:48 +01:00
Miriam Baglioni 7184cc0804 [FoS] added check for null on level1 subject 2023-02-13 13:03:49 +01:00
Miriam Baglioni 7473093c84 [FoS] changed the default separator from comma to tab to solve the issue in subject value split 2023-02-10 15:34:52 +01:00
Miriam Baglioni 5f0906be60 Merge branch 'master' of https://code-repo.d4science.org/D-Net/dnet-hadoop 2023-02-02 17:13:14 +01:00
Claudio Atzori 1b37516578 [bulk tagging] better node naming 2023-01-20 16:11:26 +01:00
Claudio Atzori c1e2460293 [cleaning] the datasource master-duplicate fixup should not be brought to production yet 2023-01-20 09:20:26 +01:00
Claudio Atzori 3800361033 [country propagation] fixes error 'cannot resolve countrySet given input columns: []' when there is no prepared information driving the propagation process for a given result type 2023-01-19 15:57:43 +01:00
Michele Artini 699736addc NPE prevention 2023-01-11 13:14:44 +01:00
Claudio Atzori f86e19b282 code formatting 2023-01-11 09:53:19 +01:00
Michele Artini d40e20f437 Considering instance pids and alteternative identifiers 2023-01-11 09:37:34 +01:00
Michele Artini 4953ae5649 fixed an invalid char 2023-01-11 08:35:53 +01:00
Miriam Baglioni c60d3a2b46 Merge branch 'master' of https://code-repo.d4science.org/D-Net/dnet-hadoop 2023-01-09 17:28:27 +01:00
Claudio Atzori 7becdaf31d Merge pull request 'Workaround to use new version of intellij on Master' (#266) from master_intellij into master
Reviewed-on: #266
2022-12-23 10:32:21 +01:00
Miriam Baglioni b713132db7 [Cleaning] adding missing classes 2022-12-21 12:49:08 +01:00
Miriam Baglioni 11f2b470d3 [Cleaning] adding missing classes 2022-12-21 12:42:19 +01:00
Sandro La Bruzzo 91c70b15a5 updated lines function to it's implementation linesWithSeparators.map(l => l.stripLineEnd) in this way we force scala plugin compiler to consider this pipeline scala code and not java.string.lines() pipeline 2022-12-21 11:14:42 +01:00
Claudio Atzori f910b7379d [cleaning] recovering missing resources from #265 2022-12-21 09:26:34 +01:00
Claudio Atzori 33bdad104e [cleaning] align parameter names 2022-12-20 21:43:59 +01:00
Claudio Atzori 5816ded93f code formatting 2022-12-20 10:41:40 +01:00
Claudio Atzori 46972f8393 [orcid propagation] skip empty directory 2022-12-20 10:28:22 +01:00
Claudio Atzori da85ca697d Merge pull request 'cleanCountryOnMaster' (#265) from cleanCountryOnMaster into master
Reviewed-on: #265
2022-12-16 15:58:44 +01:00
Miriam Baglioni 059e100ec7 [Clean Country] moving other resources for testing purposes 2022-12-16 15:48:21 +01:00
Miriam Baglioni fc95a550c3 [Clean Country] moving other resources for testing purposes 2022-12-16 15:46:32 +01:00
Miriam Baglioni 6901ac91b1 [Clean Country] moving source and resources to master 2022-12-16 15:42:49 +01:00
Claudio Atzori 08c4588d47 Merge pull request 'Changes from beta stats wf to prod' (#264) from antonis.lempesis/dnet-hadoop:beta into master
Reviewed-on: #264
2022-12-07 15:56:22 +01:00
Miriam Baglioni 29d3da85f1 [EOSC DUMP] added resources needed for the review as test 2022-11-25 17:16:20 +01:00
Miriam Baglioni 33a2b1b5dc [Bulk Tag] fixed typo in test configuration 2022-11-23 11:31:17 +01:00
Miriam Baglioni c6df8327b3 Merge branch 'master' of https://code-repo.d4science.org/D-Net/dnet-hadoop 2022-11-23 11:26:57 +01:00
Miriam Baglioni 935aa367d8 [BulkTag] removed commented code 2022-11-23 11:16:39 +01:00
Miriam Baglioni 43aedbdfe5 [BulkTag] changed verb name in configuration 2022-11-23 11:14:23 +01:00
Miriam Baglioni b6da9b67ff [BulkTag] fixed typo in annotation for verb name 2022-11-23 11:13:58 +01:00
Claudio Atzori a34c8b6f81 Merge branch 'master' of https://code-repo.d4science.org/D-Net/dnet-hadoop 2022-11-22 10:22:31 +01:00
Miriam Baglioni 122e75aa17 fixed conflicts 2022-11-21 18:13:12 +01:00
Miriam Baglioni cee7a45b1d [Bulk Tag Datasource] fixed issue with verb name and add new test for neanias selection for orcid 2022-11-21 18:10:20 +01:00
Claudio Atzori ed64618235 increased spark.sql.shuffle.partitions in the last join phase of the result (publication) to community through semantic relation propagation 2022-11-18 16:06:51 +01:00
Claudio Atzori 8742934843 added spark.sql.shuffle.partitions in the last join phase of the result to community through semantic relation propagation 2022-11-18 11:32:22 +01:00
Claudio Atzori 13cc592f39 code formatting 2022-11-15 09:37:57 +01:00
Claudio Atzori af15b1e48d [eosc tag] extending criteria for Jupyter Notebook (adding to ORP the same constraint) 2022-11-14 18:30:43 +01:00
Claudio Atzori eb45ba7af0 extended mapping from ODF relations (PR#251) 2022-11-14 18:26:13 +01:00
Claudio Atzori a929dc5fee integrated changes for mapping ROHub contents in the Graph 2022-11-14 18:15:35 +01:00
Miriam Baglioni 5f9383b2d9 [EOSC TAG] remove reduntant check for jupyter notebook 2022-11-11 14:06:19 +01:00
Miriam Baglioni b18bbca8af [EOSC TAG] adding search in orp for jupyter notebook criteria 2022-11-11 12:42:58 +01:00
dimitrispie 55fa3b2a17 Hive memory parameters 2022-11-03 15:21:04 +01:00
Claudio Atzori 80c5e0f637 code formatting 2022-09-27 12:51:51 +02:00
Claudio Atzori c01d528ab2 suppressing hyper verbose spark logs during unit test execution 2022-09-23 15:19:50 +02:00
Claudio Atzori e6d788d27a [stats wf] adding missing changes lost in PR#248 2022-09-23 14:38:42 +02:00
Claudio Atzori 930f118673 fixed semantic (subreltype) for ServiceOrganization relations 2022-09-22 16:24:44 +02:00
Claudio Atzori b2c3071e72 Merge branch 'master' into beta2master_sept_2022 2022-09-22 14:39:15 +02:00
Claudio Atzori 10ec074f79 Merge remote-tracking branch 'antonis.lempesis/beta' into beta2master_sept_2022 2022-09-22 14:12:19 +02:00
Claudio Atzori 7225fe9cbe integrated changes from discard-non-wellformed 2022-09-22 10:06:07 +02:00
Miriam Baglioni 869e129288 [EOSC BulkTag] refactoring 2022-09-20 16:13:18 +02:00
Miriam Baglioni 840465958b [EOSC BulkTag] filtering aout the datasources registered in the eosc with compatibility different from 3.0, 4.0 for literature, data and CRIS to add the context eosc to the results 2022-09-20 10:30:41 +02:00
Claudio Atzori bdc8f993d0 [Patch Hosted By] check also the presence of datasource.officialname.value 2022-09-19 15:28:03 +02:00
Miriam Baglioni ec87149cb3 [Patch Hosted By] added fix to avoi NPE error when datasource official name is not provided. Removing datasources if no officialname has been provided 2022-09-19 14:06:52 +02:00
Miriam Baglioni b42e2c9df6 [Patch Hosted By] added fix to avoi NPE error when datasource official name is not provided 2022-09-19 12:30:32 +02:00
Miriam Baglioni 1329aa8479 [EOSC BulkTag] modified test to remove association of result to eosc when eoscifguidelines are set 2022-09-19 11:59:48 +02:00
Miriam Baglioni a0ee1a8640 [EOSC BulkTag] remove addition of eosc context for result with eosc if guidelines set 2022-09-19 11:44:10 +02:00
Claudio Atzori 96062164f9 Merge pull request '[Aggregator graph|master] Discard invalid records' (#245) from discard-non-wellformed into master
Reviewed-on: #245
2022-09-19 09:48:16 +02:00
Claudio Atzori 35bb7c423f updated dhp-schemas version to 2.12.1 2022-09-16 16:13:15 +02:00
Claudio Atzori fd87571506 code formatting 2022-09-16 16:05:03 +02:00
Claudio Atzori c527112e33 Merge commit 'ff6f789b6d9be0567b6ad72f8a0e75fe3f52726a' into beta2master_sept_2022 2022-09-16 15:59:10 +02:00
Claudio Atzori 65209359bc Merge commit 'b5f7bd30be7f7adaaa28170740da0484b50a77ed' into beta2master_sept_2022 2022-09-16 15:58:11 +02:00
Claudio Atzori d72a64ded3 Merge commit '690be4482fc84327dc7617acbc8d976d559df512' into beta2master_sept_2022 2022-09-16 15:57:44 +02:00
Claudio Atzori 3e8499ce47 Merge commit '71b069ca90a2f7ec09d64241c60917d3636fc81e' into beta2master_sept_2022 2022-09-16 15:57:20 +02:00
Claudio Atzori 61aacb3271 Merge commit '1203378441dc6d8e8435cacd42e76e11746f6d1b' into beta2master_sept_2022 2022-09-16 15:56:55 +02:00
Claudio Atzori dbb567251a merged 853c996fa2 2022-09-16 15:56:28 +02:00
Claudio Atzori c7e8ad853e Merge commit '2b5f8c9c9a3611c57ee5febfe262a455a39ad801' into beta2master_sept_2022 2022-09-16 15:55:04 +02:00
Claudio Atzori 0849ebfd80 merged a11eb38065 2022-09-16 15:54:32 +02:00
Claudio Atzori 281239249e Merge commit 'b7c387c21f946adbc9da90ded95166205195edb0' into beta2master_sept_2022 2022-09-16 15:49:20 +02:00
Claudio Atzori 45fc5e12be Merge commit 'cb7c07c54e59675e8dffe42b7f2a13f16c956068' into beta2master_sept_2022 2022-09-16 15:48:55 +02:00
Claudio Atzori 1c05aaaa2e Merge commit '3418ce50ac9b28fed4fa949919e6c8208738cdcf' into beta2master_sept_2022 2022-09-16 15:48:36 +02:00
Claudio Atzori 01d5ad6361 Merge commit 'd85ba3c1a9d7f0e80565742161ff6c9ecffd52b7' into beta2master_sept_2022 2022-09-16 15:48:16 +02:00
Claudio Atzori d872d1cdd9 Merge commit 'a4815f6bec87f05be8cd740d236707949a0f746e' into beta2master_sept_2022 2022-09-16 15:47:49 +02:00
Claudio Atzori ab0efecab4 Merge commit '84598c75356cf580de6c81653a9351e9b8173639' into beta2master_sept_2022 2022-09-16 15:47:05 +02:00
Claudio Atzori 725c3c68d0 Merge commit '844f6eb46533cdd4be3210401b10401322079640' into beta2master_sept_2022 2022-09-16 15:46:40 +02:00
Claudio Atzori 300ae6221c Merge commit '32cee1f619eb30d2e2ac6083435b76b1aba7db09' into beta2master_sept_2022 2022-09-16 15:45:57 +02:00
Claudio Atzori 0ec2eaba35 Merge commit 'c1f2ffc53dc41f1fac3855b2d2df7d6a5ea15e3e' into beta2master_sept_2022 2022-09-16 15:45:27 +02:00
Claudio Atzori a387807d43 Merge commit 'b78889a0ce27a79c7ab2d8da05b118ee4f1bcb36' into beta2master_sept_2022 2022-09-16 15:44:17 +02:00
Claudio Atzori 2abe2bc137 Merge commit '08ce2cadc2d84aa982726e429c280a905536a715' into beta2master_sept_2022 2022-09-16 15:43:49 +02:00
Claudio Atzori a07c876922 Merge commit '27a91841e7fa2a1b615b4d1e161d606db5bead96' into beta2master_sept_2022 2022-09-16 15:43:02 +02:00
Claudio Atzori cbd48bc645 Merge commit 'efd96e7e664e4139321e35e8d172b884ba4b61a1' into beta2master_sept_2022 2022-09-16 15:38:56 +02:00
232 changed files with 6599 additions and 113388 deletions

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@ -1,53 +0,0 @@
package eu.dnetlib.dhp.common.api;
import java.io.IOException;
import java.io.InputStream;
import okhttp3.MediaType;
import okhttp3.RequestBody;
import okhttp3.internal.Util;
import okio.BufferedSink;
import okio.Okio;
import okio.Source;
public class InputStreamRequestBody extends RequestBody {
private final InputStream inputStream;
private final MediaType mediaType;
private final long lenght;
public static RequestBody create(final MediaType mediaType, final InputStream inputStream, final long len) {
return new InputStreamRequestBody(inputStream, mediaType, len);
}
private InputStreamRequestBody(InputStream inputStream, MediaType mediaType, long len) {
this.inputStream = inputStream;
this.mediaType = mediaType;
this.lenght = len;
}
@Override
public MediaType contentType() {
return mediaType;
}
@Override
public long contentLength() {
return lenght;
}
@Override
public void writeTo(BufferedSink sink) throws IOException {
Source source = null;
try {
source = Okio.source(inputStream);
sink.writeAll(source);
} finally {
Util.closeQuietly(source);
}
}
}

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@ -1,8 +0,0 @@
package eu.dnetlib.dhp.common.api;
public class MissingConceptDoiException extends Throwable {
public MissingConceptDoiException(String message) {
super(message);
}
}

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@ -1,365 +0,0 @@
package eu.dnetlib.dhp.common.api;
import java.io.*;
import java.io.IOException;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.concurrent.TimeUnit;
import org.apache.http.HttpHeaders;
import org.apache.http.entity.ContentType;
import org.jetbrains.annotations.NotNull;
import com.google.gson.Gson;
import eu.dnetlib.dhp.common.api.zenodo.ZenodoModel;
import eu.dnetlib.dhp.common.api.zenodo.ZenodoModelList;
import okhttp3.*;
public class ZenodoAPIClient implements Serializable {
String urlString;
String bucket;
String deposition_id;
String access_token;
public static final MediaType MEDIA_TYPE_JSON = MediaType.parse("application/json; charset=utf-8");
private static final MediaType MEDIA_TYPE_ZIP = MediaType.parse("application/zip");
public String getUrlString() {
return urlString;
}
public void setUrlString(String urlString) {
this.urlString = urlString;
}
public String getBucket() {
return bucket;
}
public void setBucket(String bucket) {
this.bucket = bucket;
}
public void setDeposition_id(String deposition_id) {
this.deposition_id = deposition_id;
}
public ZenodoAPIClient(String urlString, String access_token) {
this.urlString = urlString;
this.access_token = access_token;
}
/**
* Brand new deposition in Zenodo. It sets the deposition_id and the bucket where to store the files to upload
*
* @return response code
* @throws IOException
*/
public int newDeposition() throws IOException {
String json = "{}";
URL url = new URL(urlString);
HttpURLConnection conn = (HttpURLConnection) url.openConnection();
conn.setRequestProperty(HttpHeaders.CONTENT_TYPE, ContentType.APPLICATION_JSON.toString());
conn.setRequestProperty(HttpHeaders.AUTHORIZATION, "Bearer " + access_token);
conn.setRequestMethod("POST");
conn.setDoOutput(true);
try (OutputStream os = conn.getOutputStream()) {
byte[] input = json.getBytes("utf-8");
os.write(input, 0, input.length);
}
String body = getBody(conn);
int responseCode = conn.getResponseCode();
conn.disconnect();
if (!checkOKStatus(responseCode))
throw new IOException("Unexpected code " + responseCode + body);
ZenodoModel newSubmission = new Gson().fromJson(body, ZenodoModel.class);
this.bucket = newSubmission.getLinks().getBucket();
this.deposition_id = newSubmission.getId();
return responseCode;
}
/**
* Upload files in Zenodo.
*
* @param is the inputStream for the file to upload
* @param file_name the name of the file as it will appear on Zenodo
* @return the response code
*/
public int uploadIS(InputStream is, String file_name) throws IOException {
URL url = new URL(bucket + "/" + file_name);
HttpURLConnection conn = (HttpURLConnection) url.openConnection();
conn.setRequestProperty(HttpHeaders.CONTENT_TYPE, "application/zip");
conn.setRequestProperty(HttpHeaders.AUTHORIZATION, "Bearer " + access_token);
conn.setDoOutput(true);
conn.setRequestMethod("PUT");
byte[] buf = new byte[8192];
int length;
try (OutputStream os = conn.getOutputStream()) {
while ((length = is.read(buf)) != -1) {
os.write(buf, 0, length);
}
}
int responseCode = conn.getResponseCode();
if (!checkOKStatus(responseCode)) {
throw new IOException("Unexpected code " + responseCode + getBody(conn));
}
return responseCode;
}
@NotNull
private String getBody(HttpURLConnection conn) throws IOException {
String body = "{}";
try (BufferedReader br = new BufferedReader(
new InputStreamReader(conn.getInputStream(), "utf-8"))) {
StringBuilder response = new StringBuilder();
String responseLine = null;
while ((responseLine = br.readLine()) != null) {
response.append(responseLine.trim());
}
body = response.toString();
}
return body;
}
/**
* Associates metadata information to the current deposition
*
* @param metadata the metadata
* @return response code
* @throws IOException
*/
public int sendMretadata(String metadata) throws IOException {
URL url = new URL(urlString + "/" + deposition_id);
HttpURLConnection conn = (HttpURLConnection) url.openConnection();
conn.setRequestProperty(HttpHeaders.CONTENT_TYPE, ContentType.APPLICATION_JSON.toString());
conn.setRequestProperty(HttpHeaders.AUTHORIZATION, "Bearer " + access_token);
conn.setDoOutput(true);
conn.setRequestMethod("PUT");
try (OutputStream os = conn.getOutputStream()) {
byte[] input = metadata.getBytes("utf-8");
os.write(input, 0, input.length);
}
final int responseCode = conn.getResponseCode();
conn.disconnect();
if (!checkOKStatus(responseCode))
throw new IOException("Unexpected code " + responseCode + getBody(conn));
return responseCode;
}
private boolean checkOKStatus(int responseCode) {
if (HttpURLConnection.HTTP_OK != responseCode ||
HttpURLConnection.HTTP_CREATED != responseCode)
return true;
return false;
}
/**
* To publish the current deposition. It works for both new deposition or new version of an old deposition
*
* @return response code
* @throws IOException
*/
@Deprecated
public int publish() throws IOException {
String json = "{}";
OkHttpClient httpClient = new OkHttpClient.Builder().connectTimeout(600, TimeUnit.SECONDS).build();
RequestBody body = RequestBody.create(json, MEDIA_TYPE_JSON);
Request request = new Request.Builder()
.url(urlString + "/" + deposition_id + "/actions/publish")
.addHeader("Authorization", "Bearer " + access_token)
.post(body)
.build();
try (Response response = httpClient.newCall(request).execute()) {
if (!response.isSuccessful())
throw new IOException("Unexpected code " + response + response.body().string());
return response.code();
}
}
/**
* To create a new version of an already published deposition. It sets the deposition_id and the bucket to be used
* for the new version.
*
* @param concept_rec_id the concept record id of the deposition for which to create a new version. It is the last
* part of the url for the DOI Zenodo suggests to use to cite all versions: DOI: 10.xxx/zenodo.656930
* concept_rec_id = 656930
* @return response code
* @throws IOException
* @throws MissingConceptDoiException
*/
public int newVersion(String concept_rec_id) throws IOException, MissingConceptDoiException {
setDepositionId(concept_rec_id, 1);
String json = "{}";
URL url = new URL(urlString + "/" + deposition_id + "/actions/newversion");
HttpURLConnection conn = (HttpURLConnection) url.openConnection();
conn.setRequestProperty(HttpHeaders.AUTHORIZATION, "Bearer " + access_token);
conn.setDoOutput(true);
conn.setRequestMethod("POST");
try (OutputStream os = conn.getOutputStream()) {
byte[] input = json.getBytes("utf-8");
os.write(input, 0, input.length);
}
String body = getBody(conn);
int responseCode = conn.getResponseCode();
conn.disconnect();
if (!checkOKStatus(responseCode))
throw new IOException("Unexpected code " + responseCode + body);
ZenodoModel zenodoModel = new Gson().fromJson(body, ZenodoModel.class);
String latest_draft = zenodoModel.getLinks().getLatest_draft();
deposition_id = latest_draft.substring(latest_draft.lastIndexOf("/") + 1);
bucket = getBucket(latest_draft);
return responseCode;
}
/**
* To finish uploading a version or new deposition not published
* It sets the deposition_id and the bucket to be used
*
*
* @param deposition_id the deposition id of the not yet published upload
* concept_rec_id = 656930
* @return response code
* @throws IOException
* @throws MissingConceptDoiException
*/
public int uploadOpenDeposition(String deposition_id) throws IOException, MissingConceptDoiException {
this.deposition_id = deposition_id;
String json = "{}";
URL url = new URL(urlString + "/" + deposition_id);
HttpURLConnection conn = (HttpURLConnection) url.openConnection();
conn.setRequestProperty(HttpHeaders.AUTHORIZATION, "Bearer " + access_token);
conn.setRequestMethod("POST");
conn.setDoOutput(true);
try (OutputStream os = conn.getOutputStream()) {
byte[] input = json.getBytes("utf-8");
os.write(input, 0, input.length);
}
String body = getBody(conn);
int responseCode = conn.getResponseCode();
conn.disconnect();
if (!checkOKStatus(responseCode))
throw new IOException("Unexpected code " + responseCode + body);
ZenodoModel zenodoModel = new Gson().fromJson(body, ZenodoModel.class);
bucket = zenodoModel.getLinks().getBucket();
return responseCode;
}
private void setDepositionId(String concept_rec_id, Integer page) throws IOException, MissingConceptDoiException {
ZenodoModelList zenodoModelList = new Gson()
.fromJson(getPrevDepositions(String.valueOf(page)), ZenodoModelList.class);
for (ZenodoModel zm : zenodoModelList) {
if (zm.getConceptrecid().equals(concept_rec_id)) {
deposition_id = zm.getId();
return;
}
}
if (zenodoModelList.size() == 0)
throw new MissingConceptDoiException(
"The concept record id specified was missing in the list of depositions");
setDepositionId(concept_rec_id, page + 1);
}
private String getPrevDepositions(String page) throws IOException {
HttpUrl.Builder urlBuilder = HttpUrl.parse(urlString).newBuilder();
urlBuilder.addQueryParameter("page", page);
URL url = new URL(urlBuilder.build().toString());
HttpURLConnection conn = (HttpURLConnection) url.openConnection();
conn.setRequestProperty(HttpHeaders.CONTENT_TYPE, ContentType.APPLICATION_JSON.toString());
conn.setRequestProperty(HttpHeaders.AUTHORIZATION, "Bearer " + access_token);
conn.setDoOutput(true);
conn.setRequestMethod("GET");
String body = getBody(conn);
int responseCode = conn.getResponseCode();
conn.disconnect();
if (!checkOKStatus(responseCode))
throw new IOException("Unexpected code " + responseCode + body);
return body;
}
private String getBucket(String inputUurl) throws IOException {
URL url = new URL(inputUurl);
HttpURLConnection conn = (HttpURLConnection) url.openConnection();
conn.setRequestProperty(HttpHeaders.CONTENT_TYPE, ContentType.APPLICATION_JSON.toString());
conn.setRequestProperty(HttpHeaders.AUTHORIZATION, "Bearer " + access_token);
conn.setDoOutput(true);
conn.setRequestMethod("GET");
String body = getBody(conn);
int responseCode = conn.getResponseCode();
conn.disconnect();
if (!checkOKStatus(responseCode))
throw new IOException("Unexpected code " + responseCode + body);
ZenodoModel zenodoModel = new Gson().fromJson(body, ZenodoModel.class);
return zenodoModel.getLinks().getBucket();
}
}

View File

@ -1,14 +0,0 @@
package eu.dnetlib.dhp.common.api.zenodo;
public class Community {
private String identifier;
public String getIdentifier() {
return identifier;
}
public void setIdentifier(String identifier) {
this.identifier = identifier;
}
}

View File

@ -1,47 +0,0 @@
package eu.dnetlib.dhp.common.api.zenodo;
public class Creator {
private String affiliation;
private String name;
private String orcid;
public String getAffiliation() {
return affiliation;
}
public void setAffiliation(String affiliation) {
this.affiliation = affiliation;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public String getOrcid() {
return orcid;
}
public void setOrcid(String orcid) {
this.orcid = orcid;
}
public static Creator newInstance(String name, String affiliation, String orcid) {
Creator c = new Creator();
if (name != null) {
c.name = name;
}
if (affiliation != null) {
c.affiliation = affiliation;
}
if (orcid != null) {
c.orcid = orcid;
}
return c;
}
}

View File

@ -1,44 +0,0 @@
package eu.dnetlib.dhp.common.api.zenodo;
import java.io.Serializable;
public class File implements Serializable {
private String checksum;
private String filename;
private long filesize;
private String id;
public String getChecksum() {
return checksum;
}
public void setChecksum(String checksum) {
this.checksum = checksum;
}
public String getFilename() {
return filename;
}
public void setFilename(String filename) {
this.filename = filename;
}
public long getFilesize() {
return filesize;
}
public void setFilesize(long filesize) {
this.filesize = filesize;
}
public String getId() {
return id;
}
public void setId(String id) {
this.id = id;
}
}

View File

@ -1,23 +0,0 @@
package eu.dnetlib.dhp.common.api.zenodo;
import java.io.Serializable;
public class Grant implements Serializable {
private String id;
public String getId() {
return id;
}
public void setId(String id) {
this.id = id;
}
public static Grant newInstance(String id) {
Grant g = new Grant();
g.id = id;
return g;
}
}

View File

@ -1,92 +0,0 @@
package eu.dnetlib.dhp.common.api.zenodo;
import java.io.Serializable;
public class Links implements Serializable {
private String bucket;
private String discard;
private String edit;
private String files;
private String html;
private String latest_draft;
private String latest_draft_html;
private String publish;
private String self;
public String getBucket() {
return bucket;
}
public void setBucket(String bucket) {
this.bucket = bucket;
}
public String getDiscard() {
return discard;
}
public void setDiscard(String discard) {
this.discard = discard;
}
public String getEdit() {
return edit;
}
public void setEdit(String edit) {
this.edit = edit;
}
public String getFiles() {
return files;
}
public void setFiles(String files) {
this.files = files;
}
public String getHtml() {
return html;
}
public void setHtml(String html) {
this.html = html;
}
public String getLatest_draft() {
return latest_draft;
}
public void setLatest_draft(String latest_draft) {
this.latest_draft = latest_draft;
}
public String getLatest_draft_html() {
return latest_draft_html;
}
public void setLatest_draft_html(String latest_draft_html) {
this.latest_draft_html = latest_draft_html;
}
public String getPublish() {
return publish;
}
public void setPublish(String publish) {
this.publish = publish;
}
public String getSelf() {
return self;
}
public void setSelf(String self) {
this.self = self;
}
}

View File

@ -1,153 +0,0 @@
package eu.dnetlib.dhp.common.api.zenodo;
import java.io.Serializable;
import java.util.List;
public class Metadata implements Serializable {
private String access_right;
private List<Community> communities;
private List<Creator> creators;
private String description;
private String doi;
private List<Grant> grants;
private List<String> keywords;
private String language;
private String license;
private PrereserveDoi prereserve_doi;
private String publication_date;
private List<String> references;
private List<RelatedIdentifier> related_identifiers;
private String title;
private String upload_type;
private String version;
public String getUpload_type() {
return upload_type;
}
public void setUpload_type(String upload_type) {
this.upload_type = upload_type;
}
public String getVersion() {
return version;
}
public void setVersion(String version) {
this.version = version;
}
public String getAccess_right() {
return access_right;
}
public void setAccess_right(String access_right) {
this.access_right = access_right;
}
public List<Community> getCommunities() {
return communities;
}
public void setCommunities(List<Community> communities) {
this.communities = communities;
}
public List<Creator> getCreators() {
return creators;
}
public void setCreators(List<Creator> creators) {
this.creators = creators;
}
public String getDescription() {
return description;
}
public void setDescription(String description) {
this.description = description;
}
public String getDoi() {
return doi;
}
public void setDoi(String doi) {
this.doi = doi;
}
public List<Grant> getGrants() {
return grants;
}
public void setGrants(List<Grant> grants) {
this.grants = grants;
}
public List<String> getKeywords() {
return keywords;
}
public void setKeywords(List<String> keywords) {
this.keywords = keywords;
}
public String getLanguage() {
return language;
}
public void setLanguage(String language) {
this.language = language;
}
public String getLicense() {
return license;
}
public void setLicense(String license) {
this.license = license;
}
public PrereserveDoi getPrereserve_doi() {
return prereserve_doi;
}
public void setPrereserve_doi(PrereserveDoi prereserve_doi) {
this.prereserve_doi = prereserve_doi;
}
public String getPublication_date() {
return publication_date;
}
public void setPublication_date(String publication_date) {
this.publication_date = publication_date;
}
public List<String> getReferences() {
return references;
}
public void setReferences(List<String> references) {
this.references = references;
}
public List<RelatedIdentifier> getRelated_identifiers() {
return related_identifiers;
}
public void setRelated_identifiers(List<RelatedIdentifier> related_identifiers) {
this.related_identifiers = related_identifiers;
}
public String getTitle() {
return title;
}
public void setTitle(String title) {
this.title = title;
}
}

View File

@ -1,25 +0,0 @@
package eu.dnetlib.dhp.common.api.zenodo;
import java.io.Serializable;
public class PrereserveDoi implements Serializable {
private String doi;
private String recid;
public String getDoi() {
return doi;
}
public void setDoi(String doi) {
this.doi = doi;
}
public String getRecid() {
return recid;
}
public void setRecid(String recid) {
this.recid = recid;
}
}

View File

@ -1,43 +0,0 @@
package eu.dnetlib.dhp.common.api.zenodo;
import java.io.Serializable;
public class RelatedIdentifier implements Serializable {
private String identifier;
private String relation;
private String resource_type;
private String scheme;
public String getIdentifier() {
return identifier;
}
public void setIdentifier(String identifier) {
this.identifier = identifier;
}
public String getRelation() {
return relation;
}
public void setRelation(String relation) {
this.relation = relation;
}
public String getResource_type() {
return resource_type;
}
public void setResource_type(String resource_type) {
this.resource_type = resource_type;
}
public String getScheme() {
return scheme;
}
public void setScheme(String scheme) {
this.scheme = scheme;
}
}

View File

@ -1,118 +0,0 @@
package eu.dnetlib.dhp.common.api.zenodo;
import java.io.Serializable;
import java.util.List;
public class ZenodoModel implements Serializable {
private String conceptrecid;
private String created;
private List<File> files;
private String id;
private Links links;
private Metadata metadata;
private String modified;
private String owner;
private String record_id;
private String state;
private boolean submitted;
private String title;
public String getConceptrecid() {
return conceptrecid;
}
public void setConceptrecid(String conceptrecid) {
this.conceptrecid = conceptrecid;
}
public String getCreated() {
return created;
}
public void setCreated(String created) {
this.created = created;
}
public List<File> getFiles() {
return files;
}
public void setFiles(List<File> files) {
this.files = files;
}
public String getId() {
return id;
}
public void setId(String id) {
this.id = id;
}
public Links getLinks() {
return links;
}
public void setLinks(Links links) {
this.links = links;
}
public Metadata getMetadata() {
return metadata;
}
public void setMetadata(Metadata metadata) {
this.metadata = metadata;
}
public String getModified() {
return modified;
}
public void setModified(String modified) {
this.modified = modified;
}
public String getOwner() {
return owner;
}
public void setOwner(String owner) {
this.owner = owner;
}
public String getRecord_id() {
return record_id;
}
public void setRecord_id(String record_id) {
this.record_id = record_id;
}
public String getState() {
return state;
}
public void setState(String state) {
this.state = state;
}
public boolean isSubmitted() {
return submitted;
}
public void setSubmitted(boolean submitted) {
this.submitted = submitted;
}
public String getTitle() {
return title;
}
public void setTitle(String title) {
this.title = title;
}
}

View File

@ -1,7 +0,0 @@
package eu.dnetlib.dhp.common.api.zenodo;
import java.util.ArrayList;
public class ZenodoModelList extends ArrayList<ZenodoModel> {
}

View File

@ -145,6 +145,105 @@ public class AuthorMerger {
return null;
}
/**
* This method tries to figure out when two author are the same in the contest
* of ORCID enrichment
*
* @param left Author in the OAF entity
* @param right Author ORCID
* @return based on a heuristic on the names of the authors if they are the same.
*/
public static boolean checkORCIDSimilarity(final Author left, final Author right) {
final Person pl = parse(left);
final Person pr = parse(right);
// If one of them didn't have a surname we verify if they have the fullName not empty
// and verify if the normalized version is equal
if (!(pl.getSurname() != null && pl.getSurname().stream().anyMatch(StringUtils::isNotBlank) &&
pr.getSurname() != null && pr.getSurname().stream().anyMatch(StringUtils::isNotBlank))) {
if (pl.getFullname() != null && !pl.getFullname().isEmpty() && pr.getFullname() != null
&& !pr.getFullname().isEmpty()) {
return pl
.getFullname()
.stream()
.anyMatch(
fl -> pr.getFullname().stream().anyMatch(fr -> normalize(fl).equalsIgnoreCase(normalize(fr))));
} else {
return false;
}
}
// The Authors have one surname in common
if (pl.getSurname().stream().anyMatch(sl -> pr.getSurname().stream().anyMatch(sr -> sr.equalsIgnoreCase(sl)))) {
// If one of them has only a surname and is the same we can say that they are the same author
if ((pl.getName() == null || pl.getName().stream().allMatch(StringUtils::isBlank)) ||
(pr.getName() == null || pr.getName().stream().allMatch(StringUtils::isBlank)))
return true;
// The authors have the same initials of Name in common
if (pl
.getName()
.stream()
.anyMatch(
nl -> pr
.getName()
.stream()
.anyMatch(nr -> nr.equalsIgnoreCase(nl))))
return true;
}
// Sometimes we noticed that publication have author wrote in inverse order Surname, Name
// We verify if we have an exact match between name and surname
if (pl.getSurname().stream().anyMatch(sl -> pr.getName().stream().anyMatch(nr -> nr.equalsIgnoreCase(sl))) &&
pl.getName().stream().anyMatch(nl -> pr.getSurname().stream().anyMatch(sr -> sr.equalsIgnoreCase(nl))))
return true;
else
return false;
}
//
/**
* Method to enrich ORCID information in one list of authors based on another list
*
* @param baseAuthor the Author List in the OAF Entity
* @param orcidAuthor The list of ORCID Author intersected
* @return The Author List of the OAF Entity enriched with the orcid Author
*/
public static List<Author> enrichOrcid(List<Author> baseAuthor, List<Author> orcidAuthor) {
if (baseAuthor == null || baseAuthor.isEmpty())
return orcidAuthor;
if (orcidAuthor == null || orcidAuthor.isEmpty())
return baseAuthor;
if (baseAuthor.size() == 1 && orcidAuthor.size() > 10)
return baseAuthor;
final List<Author> oAuthor = new ArrayList<>();
oAuthor.addAll(orcidAuthor);
baseAuthor.forEach(ba -> {
Optional<Author> aMatch = oAuthor.stream().filter(oa -> checkORCIDSimilarity(ba, oa)).findFirst();
if (aMatch.isPresent()) {
final Author sameAuthor = aMatch.get();
addPid(ba, sameAuthor.getPid());
oAuthor.remove(sameAuthor);
}
});
return baseAuthor;
}
private static void addPid(final Author a, final List<StructuredProperty> pids) {
if (a.getPid() == null) {
a.setPid(new ArrayList<>());
}
a.getPid().addAll(pids);
}
public static String pidToComparableString(StructuredProperty pid) {
final String classid = pid.getQualifier().getClassid() != null ? pid.getQualifier().getClassid().toLowerCase()
: "";

View File

@ -1,6 +1,24 @@
package eu.dnetlib.dhp.oa.merge;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import static org.apache.spark.sql.functions.col;
import static org.apache.spark.sql.functions.when;
import java.util.Map;
import java.util.Optional;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ForkJoinPool;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.ReduceFunction;
import org.apache.spark.sql.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
@ -8,186 +26,169 @@ import eu.dnetlib.dhp.schema.common.EntityType;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.utils.GraphCleaningFunctions;
import eu.dnetlib.dhp.schema.oaf.utils.MergeUtils;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.ReduceFunction;
import org.apache.spark.sql.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import scala.Tuple2;
import java.util.Map;
import java.util.Optional;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ForkJoinPool;
import java.util.stream.Collectors;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import static org.apache.spark.sql.functions.col;
import static org.apache.spark.sql.functions.when;
/**
* Groups the graph content by entity identifier to ensure ID uniqueness
*/
public class GroupEntitiesSparkJob {
private static final Logger log = LoggerFactory.getLogger(GroupEntitiesSparkJob.class);
private static final Logger log = LoggerFactory.getLogger(GroupEntitiesSparkJob.class);
private static final Encoder<OafEntity> OAFENTITY_KRYO_ENC = Encoders.kryo(OafEntity.class);
private static final Encoder<OafEntity> OAFENTITY_KRYO_ENC = Encoders.kryo(OafEntity.class);
private ArgumentApplicationParser parser;
private ArgumentApplicationParser parser;
public GroupEntitiesSparkJob(ArgumentApplicationParser parser) {
this.parser = parser;
}
public GroupEntitiesSparkJob(ArgumentApplicationParser parser) {
this.parser = parser;
}
public static void main(String[] args) throws Exception {
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
GroupEntitiesSparkJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/merge/group_graph_entities_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
String jsonConfiguration = IOUtils
.toString(
GroupEntitiesSparkJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/merge/group_graph_entities_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String isLookupUrl = parser.get("isLookupUrl");
log.info("isLookupUrl: {}", isLookupUrl);
final String isLookupUrl = parser.get("isLookupUrl");
log.info("isLookupUrl: {}", isLookupUrl);
final ISLookUpService isLookupService = ISLookupClientFactory.getLookUpService(isLookupUrl);
final ISLookUpService isLookupService = ISLookupClientFactory.getLookUpService(isLookupUrl);
new GroupEntitiesSparkJob(parser).run(isSparkSessionManaged, isLookupService);
}
new GroupEntitiesSparkJob(parser).run(isSparkSessionManaged, isLookupService);
}
public void run(Boolean isSparkSessionManaged, ISLookUpService isLookUpService)
throws ISLookUpException {
public void run(Boolean isSparkSessionManaged, ISLookUpService isLookUpService)
throws ISLookUpException {
String graphInputPath = parser.get("graphInputPath");
log.info("graphInputPath: {}", graphInputPath);
String graphInputPath = parser.get("graphInputPath");
log.info("graphInputPath: {}", graphInputPath);
String checkpointPath = parser.get("checkpointPath");
log.info("checkpointPath: {}", checkpointPath);
String checkpointPath = parser.get("checkpointPath");
log.info("checkpointPath: {}", checkpointPath);
String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
boolean filterInvisible = Boolean.parseBoolean(parser.get("filterInvisible"));
log.info("filterInvisible: {}", filterInvisible);
boolean filterInvisible = Boolean.parseBoolean(parser.get("filterInvisible"));
log.info("filterInvisible: {}", filterInvisible);
SparkConf conf = new SparkConf();
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
conf.registerKryoClasses(ModelSupport.getOafModelClasses());
SparkConf conf = new SparkConf();
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
conf.registerKryoClasses(ModelSupport.getOafModelClasses());
final VocabularyGroup vocs = VocabularyGroup.loadVocsFromIS(isLookUpService);
final VocabularyGroup vocs = VocabularyGroup.loadVocsFromIS(isLookUpService);
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
HdfsSupport.remove(checkpointPath, spark.sparkContext().hadoopConfiguration());
groupEntities(spark, graphInputPath, checkpointPath, outputPath, filterInvisible, vocs);
});
}
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
HdfsSupport.remove(checkpointPath, spark.sparkContext().hadoopConfiguration());
groupEntities(spark, graphInputPath, checkpointPath, outputPath, filterInvisible, vocs);
});
}
private static void groupEntities(
SparkSession spark,
String inputPath,
String checkpointPath,
String outputPath,
boolean filterInvisible, VocabularyGroup vocs) {
private static void groupEntities(
SparkSession spark,
String inputPath,
String checkpointPath,
String outputPath,
boolean filterInvisible, VocabularyGroup vocs) {
Dataset<OafEntity> allEntities = spark.emptyDataset(OAFENTITY_KRYO_ENC);
Dataset<OafEntity> allEntities = spark.emptyDataset(OAFENTITY_KRYO_ENC);
for (Map.Entry<EntityType, Class> e : ModelSupport.entityTypes.entrySet()) {
String entity = e.getKey().name();
Class<? extends OafEntity> entityClass = e.getValue();
String entityInputPath = inputPath + "/" + entity;
for (Map.Entry<EntityType, Class> e : ModelSupport.entityTypes.entrySet()) {
String entity = e.getKey().name();
Class<? extends OafEntity> entityClass = e.getValue();
String entityInputPath = inputPath + "/" + entity;
if (!HdfsSupport.exists(entityInputPath, spark.sparkContext().hadoopConfiguration())) {
continue;
}
if (!HdfsSupport.exists(entityInputPath, spark.sparkContext().hadoopConfiguration())) {
continue;
}
allEntities = allEntities
.union(
((Dataset<OafEntity>) spark
.read()
.schema(Encoders.bean(entityClass).schema())
.json(entityInputPath)
.filter("length(id) > 0")
.as(Encoders.bean(entityClass)))
.map((MapFunction<OafEntity, OafEntity>) r -> r, OAFENTITY_KRYO_ENC));
}
allEntities = allEntities
.union(
((Dataset<OafEntity>) spark
.read()
.schema(Encoders.bean(entityClass).schema())
.json(entityInputPath)
.filter("length(id) > 0")
.as(Encoders.bean(entityClass)))
.map((MapFunction<OafEntity, OafEntity>) r -> r, OAFENTITY_KRYO_ENC));
}
Dataset<?> groupedEntities = allEntities
.map(
(MapFunction<OafEntity, OafEntity>) entity -> GraphCleaningFunctions
.applyCoarVocabularies(entity, vocs),
OAFENTITY_KRYO_ENC)
.groupByKey((MapFunction<OafEntity, String>) OafEntity::getId, Encoders.STRING())
.reduceGroups((ReduceFunction<OafEntity>) MergeUtils::checkedMerge)
.map(
(MapFunction<Tuple2<String, OafEntity>, Tuple2<String, OafEntity>>) t -> new Tuple2<>(
t._2().getClass().getName(), t._2()),
Encoders.tuple(Encoders.STRING(), OAFENTITY_KRYO_ENC));
Dataset<?> groupedEntities = allEntities
.map(
(MapFunction<OafEntity, OafEntity>) entity -> GraphCleaningFunctions
.applyCoarVocabularies(entity, vocs),
OAFENTITY_KRYO_ENC)
.groupByKey((MapFunction<OafEntity, String>) OafEntity::getId, Encoders.STRING())
.reduceGroups((ReduceFunction<OafEntity>) OafMapperUtils::mergeEntities)
.map(
(MapFunction<Tuple2<String, OafEntity>, Tuple2<String, OafEntity>>) t -> new Tuple2<>(
t._2().getClass().getName(), t._2()),
Encoders.tuple(Encoders.STRING(), OAFENTITY_KRYO_ENC));
// pivot on "_1" (classname of the entity)
// created columns containing only entities of the same class
for (Map.Entry<EntityType, Class> e : ModelSupport.entityTypes.entrySet()) {
String entity = e.getKey().name();
Class<? extends OafEntity> entityClass = e.getValue();
// pivot on "_1" (classname of the entity)
// created columns containing only entities of the same class
for (Map.Entry<EntityType, Class> e : ModelSupport.entityTypes.entrySet()) {
String entity = e.getKey().name();
Class<? extends OafEntity> entityClass = e.getValue();
groupedEntities = groupedEntities
.withColumn(
entity,
when(col("_1").equalTo(entityClass.getName()), col("_2")));
}
groupedEntities = groupedEntities
.withColumn(
entity,
when(col("_1").equalTo(entityClass.getName()), col("_2")));
}
groupedEntities
.drop("_1", "_2")
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.save(checkpointPath);
groupedEntities
.drop("_1", "_2")
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.save(checkpointPath);
ForkJoinPool parPool = new ForkJoinPool(ModelSupport.entityTypes.size());
ForkJoinPool parPool = new ForkJoinPool(ModelSupport.entityTypes.size());
ModelSupport.entityTypes
.entrySet()
.stream()
.map(e -> parPool.submit(() -> {
String entity = e.getKey().name();
Class<? extends OafEntity> entityClass = e.getValue();
ModelSupport.entityTypes
.entrySet()
.stream()
.map(e -> parPool.submit(() -> {
String entity = e.getKey().name();
Class<? extends OafEntity> entityClass = e.getValue();
spark
.read()
.load(checkpointPath)
.select(col(entity).as("value"))
.filter("value IS NOT NULL")
.as(OAFENTITY_KRYO_ENC)
.map((MapFunction<OafEntity, OafEntity>) r -> r, (Encoder<OafEntity>) Encoders.bean(entityClass))
.filter(filterInvisible ? "dataInfo.invisible != TRUE" : "TRUE")
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath + "/" + entity);
}))
.collect(Collectors.toList())
.forEach(t -> {
try {
t.get();
} catch (InterruptedException | ExecutionException e) {
throw new RuntimeException(e);
}
});
}
spark
.read()
.load(checkpointPath)
.select(col(entity).as("value"))
.filter("value IS NOT NULL")
.as(OAFENTITY_KRYO_ENC)
.map((MapFunction<OafEntity, OafEntity>) r -> r, (Encoder<OafEntity>) Encoders.bean(entityClass))
.filter(filterInvisible ? "dataInfo.invisible != TRUE" : "TRUE")
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath + "/" + entity);
}))
.collect(Collectors.toList())
.forEach(t -> {
try {
t.get();
} catch (InterruptedException | ExecutionException e) {
throw new RuntimeException(e);
}
});
}
}

View File

@ -506,8 +506,6 @@ public class GraphCleaningFunctions extends CleaningFunctions {
.filter(Objects::nonNull)
.filter(sp -> StringUtils.isNotBlank(sp.getValue()))
.map(GraphCleaningFunctions::cleanValue)
.sorted((s1, s2) -> s2.getValue().length() - s1.getValue().length())
.limit(ModelHardLimits.MAX_ABSTRACTS)
.collect(Collectors.toList()));
}
if (Objects.isNull(r.getResourcetype()) || StringUtils.isBlank(r.getResourcetype().getClassid())) {

View File

@ -1,79 +0,0 @@
package eu.dnetlib.dhp.schema.oaf.utils;
//
// Source code recreated from a .class file by IntelliJ IDEA
// (powered by FernFlower decompiler)
//
import eu.dnetlib.dhp.schema.common.EntityType;
import eu.dnetlib.dhp.schema.oaf.KeyValue;
import eu.dnetlib.dhp.schema.oaf.Oaf;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Result;
import java.util.Comparator;
import java.util.HashSet;
import java.util.Optional;
import java.util.stream.Collectors;
public class MergeComparator implements Comparator<Oaf> {
public MergeComparator() {
}
public int compare(Oaf left, Oaf right) {
// nulls at the end
if (left == null && right == null) {
return 0;
} else if (left == null) {
return -1;
} else if (right == null) {
return 1;
}
// invisible
if (left.getDataInfo() != null && left.getDataInfo().getInvisible() == true) {
if (right.getDataInfo() != null && right.getDataInfo().getInvisible() == false) {
return -1;
}
}
// collectedfrom
HashSet<String> lCf = getCollectedFromIds(left);
HashSet<String> rCf = getCollectedFromIds(right);
if (lCf.contains("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2") && !rCf.contains("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")) {
return -1;
} else if (!lCf.contains("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2") && rCf.contains("10|openaire____::081b82f96300b6a6e3d282bad31cb6e2")) {
return 1;
}
SubEntityType lClass = SubEntityType.fromClass(left.getClass());
SubEntityType rClass = SubEntityType.fromClass(right.getClass());
return lClass.ordinal() - rClass.ordinal();
}
protected HashSet<String> getCollectedFromIds(Oaf left) {
return (HashSet) Optional.ofNullable(left.getCollectedfrom()).map((cf) -> {
return (HashSet) cf.stream().map(KeyValue::getKey).collect(Collectors.toCollection(HashSet::new));
}).orElse(new HashSet());
}
enum SubEntityType {
publication, dataset, software, otherresearchproduct, datasource, organization, project;
/**
* Resolves the EntityType, given the relative class name
*
* @param clazz the given class name
* @param <T> actual OafEntity subclass
* @return the EntityType associated to the given class
*/
public static <T extends Oaf> SubEntityType fromClass(Class<T> clazz) {
return valueOf(clazz.getSimpleName().toLowerCase());
}
}
}

View File

@ -1,707 +0,0 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import eu.dnetlib.dhp.schema.common.AccessRightComparator;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.lang3.tuple.ImmutablePair;
import org.apache.commons.lang3.tuple.Pair;
import java.text.ParseException;
import java.util.*;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import static com.google.common.base.Objects.firstNonNull;
import static com.google.common.base.Preconditions.checkArgument;
public class MergeUtils {
public static <T extends Oaf> T checkedMerge(final T left, final T right) {
return (T) merge(left, right, false);
}
public static Oaf merge(final Oaf left, final Oaf right) {
return merge(left, right, false);
}
public static Oaf merge(final Oaf left, final Oaf right, boolean checkDelegatedAuthority) {
if (sameClass(left, right, OafEntity.class)) {
return mergeEntities(left, right, checkDelegatedAuthority);
} else if (sameClass(left, right, Relation.class)) {
return mergeRelation((Relation) left, (Relation) right);
} else {
throw new RuntimeException(
String
.format(
"MERGE_FROM_AND_GET incompatible types: %s, %s",
left.getClass().getCanonicalName(), right.getClass().getCanonicalName()));
}
}
private static <T extends Oaf> boolean sameClass(Object left, Object right, Class<T> cls) {
return cls.isAssignableFrom(left.getClass()) && cls.isAssignableFrom(right.getClass());
}
private static Oaf mergeEntities(Oaf left, Oaf right, boolean checkDelegatedAuthority) {
if (sameClass(left, right, Result.class)) {
if (!left.getClass().equals(right.getClass()) || checkDelegatedAuthority) {
return mergeResultsOfDifferentTypes((Result)left, (Result) right);
}
if (sameClass(left, right, Publication.class)) {
return mergePublication((Publication) left, (Publication) right);
}
if (sameClass(left, right, Dataset.class)) {
return mergeDataset((Dataset) left, (Dataset) right);
}
if (sameClass(left, right, OtherResearchProduct.class)) {
return mergeORP((OtherResearchProduct) left, (OtherResearchProduct) right);
}
if (sameClass(left, right, Software.class)) {
return mergeSoftware((Software) left, (Software) right);
}
return mergeResult((Result) left, (Result) right);
} else if (sameClass(left, right, Datasource.class)) {
// TODO
final int trust = compareTrust(left, right);
return mergeOafEntityFields((Datasource) left, (Datasource) right, trust);
} else if (sameClass(left, right, Organization.class)) {
return mergeOrganization((Organization) left, (Organization) right);
} else if (sameClass(left, right, Project.class)) {
return mergeProject((Project) left, (Project) right);
} else {
throw new RuntimeException(
String
.format(
"MERGE_FROM_AND_GET incompatible types: %s, %s",
left.getClass().getCanonicalName(), right.getClass().getCanonicalName()));
}
}
/**
* This method is used in the global result grouping phase. It checks if one of the two is from a delegated authority
* https://graph.openaire.eu/docs/data-model/pids-and-identifiers#delegated-authorities and in that case it prefers
* such version.
* <p>
* Otherwise, it considers a resulttype priority order implemented in {@link ResultTypeComparator}
* and proceeds with the canonical property merging.
*
* @param left
* @param right
* @return
*/
private static <T extends Result> T mergeResultsOfDifferentTypes(T left, T right) {
final boolean leftFromDelegatedAuthority = isFromDelegatedAuthority(left);
final boolean rightFromDelegatedAuthority = isFromDelegatedAuthority(right);
if (leftFromDelegatedAuthority && !rightFromDelegatedAuthority) {
return left;
}
if (!leftFromDelegatedAuthority && rightFromDelegatedAuthority) {
return right;
}
//TODO: raise trust to have preferred fields from one or the other??
if (new ResultTypeComparator().compare(left, right) < 0) {
return mergeResult(left, right);
} else {
return mergeResult(right, left);
}
}
private static DataInfo chooseDataInfo(DataInfo left, DataInfo right, int trust) {
if (trust > 0) {
return left;
} else if (trust == 0) {
if (left == null || (left.getInvisible() != null && left.getInvisible().equals(Boolean.TRUE))) {
return right;
} else {
return left;
}
} else {
return right;
}
}
private static String chooseString(String left, String right, int trust) {
if (trust > 0) {
return left;
} else if (trust == 0) {
return StringUtils.isNotBlank(left) ? left : right;
} else {
return right;
}
}
private static <T> T chooseReference(T left, T right, int trust) {
if (trust > 0) {
return left;
} else if (trust == 0) {
return left != null ? left : right;
} else {
return right;
}
}
private static Long max(Long left, Long right) {
if (left == null)
return right;
if (right == null)
return left;
return Math.max(left, right);
}
// trust ??
private static Boolean booleanOR(Boolean a, Boolean b) {
if (a == null) {
return b;
} else if (b == null) {
return a;
}
return a || b;
}
private static <T> List<T> unionDistinctLists(final List<T> left, final List<T> right, int trust) {
if (left == null) {
return right;
} else if (right == null) {
return left;
}
List<T> h = trust >= 0 ? left : right;
List<T> l = trust >= 0 ? right : left;
return Stream.concat(h.stream(), l.stream())
.filter(Objects::nonNull)
.distinct()
.collect(Collectors.toList());
}
private static List<String> unionDistinctListOfString(final List<String> l, final List<String> r) {
if (l == null) {
return r;
} else if (r == null) {
return l;
}
return Stream.concat(l.stream(), r.stream())
.filter(StringUtils::isNotBlank)
.distinct()
.collect(Collectors.toList());
}
//TODO review
private static List<KeyValue> mergeKeyValue(List<KeyValue> left, List<KeyValue> right, int trust) {
if (trust < 0) {
List<KeyValue> s = left;
left = right;
right = s;
}
HashMap<String, KeyValue> values = new HashMap<>();
left.forEach(kv -> values.put(kv.getKey(), kv));
right.forEach(kv -> values.putIfAbsent(kv.getKey(), kv));
return new ArrayList<>(values.values());
}
private static List<StructuredProperty> unionTitle(List<StructuredProperty> left, List<StructuredProperty> right, int trust) {
if (left == null) {
return right;
} else if (right == null) {
return left;
}
List<StructuredProperty> h = trust >= 0 ? left : right;
List<StructuredProperty> l = trust >= 0 ? right : left;
return Stream.concat(h.stream(), l.stream())
.filter(Objects::isNull)
.distinct()
.collect(Collectors.toList());
}
/**
* Internal utility that merges the common OafEntity fields
*
* @param merged
* @param enrich
* @param <T>
* @return
*/
private static <T extends Oaf> T mergeOafFields(T merged, T enrich, int trust) {
//TODO: union of all values, but what does it mean with KeyValue pairs???
merged.setCollectedfrom(mergeKeyValue(merged.getCollectedfrom(), enrich.getCollectedfrom(), trust));
merged.setDataInfo(chooseDataInfo(merged.getDataInfo(), enrich.getDataInfo(), trust));
merged.setLastupdatetimestamp(max(merged.getLastupdatetimestamp(), enrich.getLastupdatetimestamp()));
return merged;
}
/**
* Internal utility that merges the common OafEntity fields
*
* @param original
* @param enrich
* @param <T>
* @return
*/
private static <T extends OafEntity> T mergeOafEntityFields(T original, T enrich, int trust) {
final T merged = mergeOafFields(original, enrich, trust);
merged.setOriginalId(unionDistinctListOfString(merged.getOriginalId(), enrich.getOriginalId()));
merged.setPid(unionDistinctLists(merged.getPid(), enrich.getPid(), trust));
// dateofcollection mettere today quando si fa merge
merged.setDateofcollection(chooseString(merged.getDateofcollection(), enrich.getDateofcollection(), trust));
// setDateoftransformation mettere vuota in dedup, nota per Claudio
merged.setDateoftransformation(chooseString(merged.getDateoftransformation(), enrich.getDateoftransformation(), trust));
// TODO: was missing in OafEntity.merge
merged.setExtraInfo(unionDistinctLists(merged.getExtraInfo(), enrich.getExtraInfo(), trust));
//oaiprovenanze da mettere a null quando si genera merge
merged.setOaiprovenance(chooseReference(merged.getOaiprovenance(), enrich.getOaiprovenance(), trust));
merged.setMeasures(unionDistinctLists(merged.getMeasures(), enrich.getMeasures(), trust));
return merged;
}
public static <T extends Relation> T mergeRelation(T original, T enrich) {
int trust = compareTrust(original, enrich);
T merge = mergeOafFields(original, enrich, trust);
checkArgument(Objects.equals(merge.getSource(), enrich.getSource()), "source ids must be equal");
checkArgument(Objects.equals(merge.getTarget(), enrich.getTarget()), "target ids must be equal");
checkArgument(Objects.equals(merge.getRelType(), enrich.getRelType()), "relType(s) must be equal");
checkArgument(
Objects.equals(merge.getSubRelType(), enrich.getSubRelType()), "subRelType(s) must be equal");
checkArgument(Objects.equals(merge.getRelClass(), enrich.getRelClass()), "relClass(es) must be equal");
//merge.setProvenance(mergeLists(merge.getProvenance(), enrich.getProvenance()));
//TODO: trust ??
merge.setValidated(booleanOR(merge.getValidated(), enrich.getValidated()));
try {
merge.setValidationDate(ModelSupport.oldest(merge.getValidationDate(), enrich.getValidationDate()));
} catch (ParseException e) {
throw new IllegalArgumentException(String
.format(
"invalid validation date format in relation [s:%s, t:%s]: %s", merge.getSource(),
merge.getTarget(),
merge.getValidationDate()));
}
// TODO keyvalue merge
merge.setProperties(mergeKeyValue(merge.getProperties(), enrich.getProperties(), trust));
return merge;
}
public static <T extends Result> T mergeResult(T original, T enrich) {
final int trust = compareTrust(original, enrich);
T merge = mergeOafEntityFields(original, enrich, trust);
if (merge.getProcessingchargeamount() == null || StringUtils.isBlank(merge.getProcessingchargeamount().getValue())) {
merge.setProcessingchargeamount(enrich.getProcessingchargeamount());
merge.setProcessingchargecurrency(enrich.getProcessingchargecurrency());
}
// author = usare la stessa logica che in dedup
merge.setAuthor(chooseReference(merge.getAuthor(), enrich.getAuthor(), trust));
// il primo che mi arriva secondo l'ordinamento per priorita'
merge.setResulttype(chooseReference(merge.getResulttype(), enrich.getResulttype(), trust));
// gestito come il resulttype perche' e' un subtype
merge.setMetaResourceType(chooseReference(merge.getMetaResourceType(), enrich.getMetaResourceType(), trust));
// spostiamo nell'instance e qui prendo il primo che arriva
merge.setLanguage(chooseReference(merge.getLanguage(), enrich.getLanguage(), trust));
// country lasicamo,o cosi' -> parentesi sul datainfo
merge.setCountry(unionDistinctLists(merge.getCountry(), enrich.getCountry(), trust));
//ok
merge.setSubject(unionDistinctLists(merge.getSubject(), enrich.getSubject(), trust));
// union per priority quindi vanno in append
merge.setTitle(unionTitle(merge.getTitle(), enrich.getTitle(), trust));
//ok
merge.setRelevantdate(unionDistinctLists(merge.getRelevantdate(), enrich.getRelevantdate(), trust));
// prima trust e poi longest list
merge.setDescription(longestLists(merge.getDescription(), enrich.getDescription()));
// trust piu' alto e poi piu' vecchia
merge.setDateofacceptance(chooseReference(merge.getDateofacceptance(), enrich.getDateofacceptance(), trust));
// ok, ma publisher va messo ripetibile
merge.setPublisher(chooseReference(merge.getPublisher(), enrich.getPublisher(), trust));
// ok
merge.setEmbargoenddate(chooseReference(merge.getEmbargoenddate(), enrich.getEmbargoenddate(), trust));
// ok
merge.setSource(unionDistinctLists(merge.getSource(), enrich.getSource(), trust));
// ok
merge.setFulltext(unionDistinctLists(merge.getFulltext(), enrich.getFulltext(), trust));
// ok
merge.setFormat(unionDistinctLists(merge.getFormat(), enrich.getFormat(), trust));
// ok
merge.setContributor(unionDistinctLists(merge.getContributor(), enrich.getContributor(), trust));
// prima prendo l'higher trust, su questo prendo il valore migliore nelle istanze TODO
// trust maggiore ma a parita' di trust il piu' specifico (base del vocabolario)
// vedi note
merge.setResourcetype(firstNonNull(merge.getResourcetype(), enrich.getResourcetype()));
// ok
merge.setCoverage(unionDistinctLists(merge.getCoverage(), enrich.getCoverage(), trust));
// most open ok
if (enrich.getBestaccessright() != null
&& new AccessRightComparator<>()
.compare(enrich.getBestaccessright(), merge.getBestaccessright()) < 0) {
merge.setBestaccessright(enrich.getBestaccessright());
}
// TODO merge of datainfo given same id
merge.setContext(unionDistinctLists(merge.getContext(), enrich.getContext(), trust));
//ok
merge.setExternalReference(unionDistinctLists(merge.getExternalReference(), enrich.getExternalReference(), trust));
//instance enrichment or union
// review instance equals => add pid to comparision
if (!isAnEnrichment(merge) && !isAnEnrichment(enrich))
merge.setInstance(unionDistinctLists(merge.getInstance(), enrich.getInstance(), trust));
else {
final List<Instance> enrichmentInstances = isAnEnrichment(merge) ? merge.getInstance()
: enrich.getInstance();
final List<Instance> enrichedInstances = isAnEnrichment(merge) ? enrich.getInstance()
: merge.getInstance();
if (isAnEnrichment(merge))
merge.setDataInfo(enrich.getDataInfo());
merge.setInstance(enrichInstances(enrichedInstances, enrichmentInstances));
}
merge.setEoscifguidelines(unionDistinctLists(merge.getEoscifguidelines(), enrich.getEoscifguidelines(), trust));
merge.setIsGreen(booleanOR(merge.getIsGreen(), enrich.getIsGreen()));
// OK but should be list of values
merge.setOpenAccessColor(chooseReference(merge.getOpenAccessColor(), enrich.getOpenAccessColor(), trust));
merge.setIsInDiamondJournal(booleanOR(merge.getIsInDiamondJournal(), enrich.getIsInDiamondJournal()));
merge.setPubliclyFunded(booleanOR(merge.getPubliclyFunded(), enrich.getPubliclyFunded()));
return merge;
}
private static <T extends OtherResearchProduct> T mergeORP(T original, T enrich) {
int trust = compareTrust(original, enrich);
final T merge = mergeResult(original, enrich);
merge.setContactperson(unionDistinctLists(merge.getContactperson(), enrich.getContactperson(), trust));
merge.setContactgroup(unionDistinctLists(merge.getContactgroup(), enrich.getContactgroup(), trust));
merge.setTool(unionDistinctLists(merge.getTool(), enrich.getTool(), trust));
return merge;
}
private static <T extends Software> T mergeSoftware(T original, T enrich) {
int trust = compareTrust(original, enrich);
final T merge = mergeResult(original, enrich);
merge.setDocumentationUrl(unionDistinctLists(merge.getDocumentationUrl(), enrich.getDocumentationUrl(), trust));
merge.setLicense(unionDistinctLists(merge.getLicense(), enrich.getLicense(), trust));
merge.setCodeRepositoryUrl(chooseReference(merge.getCodeRepositoryUrl(), enrich.getCodeRepositoryUrl(), trust));
merge.setProgrammingLanguage(chooseReference(merge.getProgrammingLanguage(), enrich.getProgrammingLanguage(), trust));
return merge;
}
private static <T extends Dataset> T mergeDataset(T original, T enrich) {
int trust = compareTrust(original, enrich);
T merge = mergeResult(original, enrich);
merge.setStoragedate(chooseReference(merge.getStoragedate(), enrich.getStoragedate(), trust));
merge.setDevice(chooseReference(merge.getDevice(), enrich.getDevice(), trust));
merge.setSize(chooseReference(merge.getSize(), enrich.getSize(), trust));
merge.setVersion(chooseReference(merge.getVersion(), enrich.getVersion(), trust));
merge.setLastmetadataupdate(chooseReference(merge.getLastmetadataupdate(), enrich.getLastmetadataupdate(), trust));
merge.setMetadataversionnumber(chooseReference(merge.getMetadataversionnumber(), enrich.getMetadataversionnumber(), trust));
merge.setGeolocation(unionDistinctLists(merge.getGeolocation(), enrich.getGeolocation(), trust));
return merge;
}
public static <T extends Publication> T mergePublication(T original, T enrich) {
final int trust = compareTrust(original, enrich);
T merged = mergeResult(original, enrich);
merged.setJournal(chooseReference(merged.getJournal(), enrich.getJournal(), trust));
return merged;
}
private static <T extends Organization> T mergeOrganization(T left, T enrich) {
int trust = compareTrust(left, enrich);
T merged = mergeOafEntityFields(left, enrich, trust);
merged.setLegalshortname(chooseReference(merged.getLegalshortname(), enrich.getLegalshortname(), trust));
merged.setLegalname(chooseReference(merged.getLegalname(), enrich.getLegalname(), trust));
merged.setAlternativeNames(unionDistinctLists(enrich.getAlternativeNames(), merged.getAlternativeNames(), trust));
merged.setWebsiteurl(chooseReference(merged.getWebsiteurl(), enrich.getWebsiteurl(), trust));
merged.setLogourl(chooseReference(merged.getLogourl(), enrich.getLogourl(), trust));
merged.setEclegalbody(chooseReference(merged.getEclegalbody(), enrich.getEclegalbody(), trust));
merged.setEclegalperson(chooseReference(merged.getEclegalperson(), enrich.getEclegalperson(), trust));
merged.setEcnonprofit(chooseReference(merged.getEcnonprofit(), enrich.getEcnonprofit(), trust));
merged.setEcresearchorganization(chooseReference(merged.getEcresearchorganization(), enrich.getEcresearchorganization(), trust));
merged.setEchighereducation(chooseReference(merged.getEchighereducation(), enrich.getEchighereducation(), trust));
merged.setEcinternationalorganizationeurinterests(chooseReference(merged.getEcinternationalorganizationeurinterests(), enrich.getEcinternationalorganizationeurinterests(), trust));
merged.setEcinternationalorganization(chooseReference(merged.getEcinternationalorganization(), enrich.getEcinternationalorganization(), trust));
merged.setEcenterprise(chooseReference(merged.getEcenterprise(), enrich.getEcenterprise(), trust));
merged.setEcsmevalidated(chooseReference(merged.getEcsmevalidated(), enrich.getEcsmevalidated(), trust));
merged.setEcnutscode(chooseReference(merged.getEcnutscode(), enrich.getEcnutscode(), trust));
merged.setCountry(chooseReference(merged.getCountry(), enrich.getCountry(), trust));
return merged;
}
public static <T extends Project> T mergeProject(T original, T enrich) {
int trust = compareTrust(original, enrich);
T merged = mergeOafEntityFields(original, enrich, trust);
merged.setWebsiteurl(chooseReference(merged.getWebsiteurl(), enrich.getWebsiteurl(), trust));
merged.setCode(chooseReference(merged.getCode(), enrich.getCode(), trust));
merged.setAcronym(chooseReference(merged.getAcronym(), enrich.getAcronym(), trust));
merged.setTitle(chooseReference(merged.getTitle(), enrich.getTitle(), trust));
merged.setStartdate(chooseReference(merged.getStartdate(), enrich.getStartdate(), trust));
merged.setEnddate(chooseReference(merged.getEnddate(), enrich.getEnddate(), trust));
merged.setCallidentifier(chooseReference(merged.getCallidentifier(), enrich.getCallidentifier(), trust));
merged.setKeywords(chooseReference(merged.getKeywords(), enrich.getKeywords(), trust));
merged.setDuration(chooseReference(merged.getDuration(), enrich.getDuration(), trust));
merged.setEcsc39(chooseReference(merged.getEcsc39(), enrich.getEcsc39(), trust));
merged.setOamandatepublications(chooseReference(merged.getOamandatepublications(), enrich.getOamandatepublications(), trust));
merged.setEcarticle29_3(chooseReference(merged.getEcarticle29_3(), enrich.getEcarticle29_3(), trust));
merged.setSubjects(unionDistinctLists(merged.getSubjects(), enrich.getSubjects(), trust));
merged.setFundingtree(unionDistinctLists(merged.getFundingtree(), enrich.getFundingtree(), trust));
merged.setContracttype(chooseReference(merged.getContracttype(), enrich.getContracttype(), trust));
merged.setOptional1(chooseReference(merged.getOptional1(), enrich.getOptional1(), trust));
merged.setOptional2(chooseReference(merged.getOptional2(), enrich.getOptional2(), trust));
merged.setJsonextrainfo(chooseReference(merged.getJsonextrainfo(), enrich.getJsonextrainfo(), trust));
merged.setContactfullname(chooseReference(merged.getContactfullname(), enrich.getContactfullname(), trust));
merged.setContactfax(chooseReference(merged.getContactfax(), enrich.getContactfax(), trust));
merged.setContactphone(chooseReference(merged.getContactphone(), enrich.getContactphone(), trust));
merged.setContactemail(chooseReference(merged.getContactemail(), enrich.getContactemail(), trust));
merged.setSummary(chooseReference(merged.getSummary(), enrich.getSummary(), trust));
merged.setCurrency(chooseReference(merged.getCurrency(), enrich.getCurrency(), trust));
//missin in Project.merge
merged.setTotalcost(chooseReference(merged.getTotalcost(), enrich.getTotalcost(), trust));
merged.setFundedamount(chooseReference(merged.getFundedamount(), enrich.getFundedamount(), trust));
// trust ??
if (enrich.getH2020topiccode() != null && StringUtils.isEmpty(merged.getH2020topiccode())) {
merged.setH2020topiccode(enrich.getH2020topiccode());
merged.setH2020topicdescription(enrich.getH2020topicdescription());
}
merged.setH2020classification(unionDistinctLists(merged.getH2020classification(), enrich.getH2020classification(), trust));
return merged;
}
/**
* Longest lists list.
*
* @param a the a
* @param b the b
* @return the list
*/
public static List<Field<String>> longestLists(List<Field<String>> a, List<Field<String>> b) {
if (a == null || b == null)
return a == null ? b : a;
return a.size() >= b.size() ? a : b;
}
/**
* This main method apply the enrichment of the instances
*
* @param toEnrichInstances the instances that could be enriched
* @param enrichmentInstances the enrichment instances
* @return list of instances possibly enriched
*/
private static List<Instance> enrichInstances(final List<Instance> toEnrichInstances,
final List<Instance> enrichmentInstances) {
final List<Instance> enrichmentResult = new ArrayList<>();
if (toEnrichInstances == null) {
return enrichmentResult;
}
if (enrichmentInstances == null) {
return enrichmentResult;
}
Map<String, Instance> ri = toInstanceMap(enrichmentInstances);
toEnrichInstances.forEach(i -> {
final List<Instance> e = findEnrichmentsByPID(i.getPid(), ri);
if (e != null && e.size() > 0) {
e.forEach(enr -> applyEnrichment(i, enr));
} else {
final List<Instance> a = findEnrichmentsByPID(i.getAlternateIdentifier(), ri);
if (a != null && a.size() > 0) {
a.forEach(enr -> applyEnrichment(i, enr));
}
}
enrichmentResult.add(i);
});
return enrichmentResult;
}
/**
* This method converts the list of instance enrichments
* into a Map where the key is the normalized identifier
* and the value is the instance itself
*
* @param ri the list of enrichment instances
* @return the result map
*/
private static Map<String, Instance> toInstanceMap(final List<Instance> ri) {
return ri
.stream()
.filter(i -> i.getPid() != null || i.getAlternateIdentifier() != null)
.flatMap(i -> {
final List<Pair<String, Instance>> result = new ArrayList<>();
if (i.getPid() != null)
i
.getPid()
.stream()
.filter(MergeUtils::validPid)
.forEach(p -> result.add(new ImmutablePair<>(extractKeyFromPid(p), i)));
if (i.getAlternateIdentifier() != null)
i
.getAlternateIdentifier()
.stream()
.filter(MergeUtils::validPid)
.forEach(p -> result.add(new ImmutablePair<>(extractKeyFromPid(p), i)));
return result.stream();
})
.collect(
Collectors
.toMap(
Pair::getLeft,
Pair::getRight,
(a, b) -> a));
}
private static boolean isFromDelegatedAuthority(Result r) {
return Optional
.ofNullable(r.getInstance())
.map(
instance -> instance
.stream()
.filter(i -> Objects.nonNull(i.getCollectedfrom()))
.map(i -> i.getCollectedfrom().getKey())
.anyMatch(cfId -> IdentifierFactory.delegatedAuthorityDatasourceIds().contains(cfId)))
.orElse(false);
}
/**
* Valid pid boolean.
*
* @param p the p
* @return the boolean
*/
private static boolean validPid(final StructuredProperty p) {
return p.getValue() != null && p.getQualifier() != null && p.getQualifier().getClassid() != null;
}
/**
* Normalize pid string.
*
* @param pid the pid
* @return the string
*/
private static String extractKeyFromPid(final StructuredProperty pid) {
if (pid == null)
return null;
final StructuredProperty normalizedPid = CleaningFunctions.normalizePidValue(pid);
return String.format("%s::%s", normalizedPid.getQualifier().getClassid(), normalizedPid.getValue());
}
/**
* This utility method finds the list of enrichment instances
* that match one or more PIDs in the input list
*
* @param pids the list of PIDs
* @param enrichments the List of enrichment instances having the same pid
* @return the list
*/
private static List<Instance> findEnrichmentsByPID(final List<StructuredProperty> pids,
final Map<String, Instance> enrichments) {
if (pids == null || enrichments == null)
return null;
return pids
.stream()
.map(MergeUtils::extractKeyFromPid)
.map(enrichments::get)
.filter(Objects::nonNull)
.collect(Collectors.toList());
}
/**
* Is an enrichment boolean.
*
* @param e the e
* @return the boolean
*/
private static boolean isAnEnrichment(OafEntity e) {
return e.getDataInfo() != null &&
e.getDataInfo().getProvenanceaction() != null
&& ModelConstants.PROVENANCE_ENRICH.equalsIgnoreCase(e.getDataInfo().getProvenanceaction().getClassid());
}
/**
* This method apply enrichment on a single instance
* The enrichment consists of replacing values on
* single attribute only if in the current instance is missing
* The only repeatable field enriched is measures
*
* @param merge the current instance
* @param enrichment the enrichment instance
*/
private static void applyEnrichment(final Instance merge, final Instance enrichment) {
if (merge == null || enrichment == null)
return;
merge.setLicense(firstNonNull(merge.getLicense(), enrichment.getLicense()));
merge.setAccessright(firstNonNull(merge.getAccessright(), enrichment.getAccessright()));
merge.setInstancetype(firstNonNull(merge.getInstancetype(), enrichment.getInstancetype()));
merge.setInstanceTypeMapping(firstNonNull(merge.getInstanceTypeMapping(), enrichment.getInstanceTypeMapping()));
merge.setHostedby(firstNonNull(merge.getHostedby(), enrichment.getHostedby()));
merge.setUrl(unionDistinctLists(merge.getUrl(), enrichment.getUrl(), 0));
merge.setDistributionlocation(firstNonNull(merge.getDistributionlocation(), enrichment.getDistributionlocation()));
merge.setCollectedfrom(firstNonNull(merge.getCollectedfrom(), enrichment.getCollectedfrom()));
// pid and alternateId are used for matching
merge.setDateofacceptance(firstNonNull(merge.getDateofacceptance(), enrichment.getDateofacceptance()));
merge.setProcessingchargeamount(firstNonNull(merge.getProcessingchargeamount(), enrichment.getProcessingchargeamount()));
merge.setProcessingchargecurrency(firstNonNull(merge.getProcessingchargecurrency(), enrichment.getProcessingchargecurrency()));
merge.setRefereed(firstNonNull(merge.getRefereed(), enrichment.getRefereed()));
merge.setMeasures(unionDistinctLists(merge.getMeasures(), enrichment.getMeasures(), 0));
merge.setFulltext(firstNonNull(merge.getFulltext(), enrichment.getFulltext()));
}
private static int compareTrust(Oaf a, Oaf b) {
String left = Optional
.ofNullable(a.getDataInfo())
.map(DataInfo::getTrust)
.orElse("0.0");
String right = Optional
.ofNullable(b.getDataInfo())
.map(DataInfo::getTrust)
.orElse("0.0");
return left.compareTo(right);
}
}

View File

@ -14,6 +14,7 @@ import java.util.stream.Collectors;
import org.apache.commons.lang3.StringUtils;
import eu.dnetlib.dhp.schema.common.AccessRightComparator;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
public class OafMapperUtils {
@ -21,6 +22,65 @@ public class OafMapperUtils {
private OafMapperUtils() {
}
public static Oaf merge(final Oaf left, final Oaf right) {
if (ModelSupport.isSubClass(left, OafEntity.class)) {
return mergeEntities((OafEntity) left, (OafEntity) right);
} else if (ModelSupport.isSubClass(left, Relation.class)) {
((Relation) left).mergeFrom((Relation) right);
} else {
throw new IllegalArgumentException("invalid Oaf type:" + left.getClass().getCanonicalName());
}
return left;
}
public static OafEntity mergeEntities(OafEntity left, OafEntity right) {
if (ModelSupport.isSubClass(left, Result.class)) {
return mergeResults((Result) left, (Result) right);
} else if (ModelSupport.isSubClass(left, Datasource.class)) {
left.mergeFrom(right);
} else if (ModelSupport.isSubClass(left, Organization.class)) {
left.mergeFrom(right);
} else if (ModelSupport.isSubClass(left, Project.class)) {
left.mergeFrom(right);
} else {
throw new IllegalArgumentException("invalid OafEntity subtype:" + left.getClass().getCanonicalName());
}
return left;
}
public static Result mergeResults(Result left, Result right) {
final boolean leftFromDelegatedAuthority = isFromDelegatedAuthority(left);
final boolean rightFromDelegatedAuthority = isFromDelegatedAuthority(right);
if (leftFromDelegatedAuthority && !rightFromDelegatedAuthority) {
return left;
}
if (!leftFromDelegatedAuthority && rightFromDelegatedAuthority) {
return right;
}
if (new ResultTypeComparator().compare(left, right) < 0) {
left.mergeFrom(right);
return left;
} else {
right.mergeFrom(left);
return right;
}
}
private static boolean isFromDelegatedAuthority(Result r) {
return Optional
.ofNullable(r.getInstance())
.map(
instance -> instance
.stream()
.filter(i -> Objects.nonNull(i.getCollectedfrom()))
.map(i -> i.getCollectedfrom().getKey())
.anyMatch(cfId -> IdentifierFactory.delegatedAuthorityDatasourceIds().contains(cfId)))
.orElse(false);
}
public static KeyValue keyValue(final String k, final String v) {
final KeyValue kv = new KeyValue();
kv.setKey(k);

View File

@ -1,109 +0,0 @@
package eu.dnetlib.dhp.common.api;
import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStream;
import org.apache.commons.io.IOUtils;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
@Disabled
class ZenodoAPIClientTest {
private final String URL_STRING = "https://sandbox.zenodo.org/api/deposit/depositions";
private final String ACCESS_TOKEN = "";
private final String CONCEPT_REC_ID = "657113";
private final String depositionId = "674915";
@Test
void testUploadOldDeposition() throws IOException, MissingConceptDoiException {
ZenodoAPIClient client = new ZenodoAPIClient(URL_STRING,
ACCESS_TOKEN);
Assertions.assertEquals(200, client.uploadOpenDeposition(depositionId));
File file = new File(getClass()
.getResource("/eu/dnetlib/dhp/common/api/COVID-19.json.gz")
.getPath());
InputStream is = new FileInputStream(file);
Assertions.assertEquals(200, client.uploadIS(is, "COVID-19.json.gz"));
String metadata = IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/common/api/metadata.json"));
Assertions.assertEquals(200, client.sendMretadata(metadata));
Assertions.assertEquals(202, client.publish());
}
@Test
void testNewDeposition() throws IOException {
ZenodoAPIClient client = new ZenodoAPIClient(URL_STRING,
ACCESS_TOKEN);
Assertions.assertEquals(201, client.newDeposition());
File file = new File(getClass()
.getResource("/eu/dnetlib/dhp/common/api/COVID-19.json.gz")
.getPath());
InputStream is = new FileInputStream(file);
Assertions.assertEquals(200, client.uploadIS(is, "COVID-19.json.gz"));
String metadata = IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/common/api/metadata.json"));
Assertions.assertEquals(200, client.sendMretadata(metadata));
Assertions.assertEquals(202, client.publish());
}
@Test
void testNewVersionNewName() throws IOException, MissingConceptDoiException {
ZenodoAPIClient client = new ZenodoAPIClient(URL_STRING,
ACCESS_TOKEN);
Assertions.assertEquals(201, client.newVersion(CONCEPT_REC_ID));
File file = new File(getClass()
.getResource("/eu/dnetlib/dhp/common/api/newVersion")
.getPath());
InputStream is = new FileInputStream(file);
Assertions.assertEquals(200, client.uploadIS(is, "newVersion_deposition"));
Assertions.assertEquals(202, client.publish());
}
@Test
void testNewVersionOldName() throws IOException, MissingConceptDoiException {
ZenodoAPIClient client = new ZenodoAPIClient(URL_STRING,
ACCESS_TOKEN);
Assertions.assertEquals(201, client.newVersion(CONCEPT_REC_ID));
File file = new File(getClass()
.getResource("/eu/dnetlib/dhp/common/api/newVersion2")
.getPath());
InputStream is = new FileInputStream(file);
Assertions.assertEquals(200, client.uploadIS(is, "newVersion_deposition"));
Assertions.assertEquals(202, client.publish());
}
}

View File

@ -1,111 +0,0 @@
package eu.dnetlib.dhp.schema.oaf.utils;
import static org.junit.jupiter.api.Assertions.*;
import static org.junit.jupiter.api.Assertions.assertEquals;
import java.io.IOException;
import java.util.HashSet;
import java.util.List;
import java.util.stream.Collectors;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import org.apache.commons.io.IOUtils;
import org.junit.jupiter.api.Test;
import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Dataset;
import eu.dnetlib.dhp.schema.oaf.KeyValue;
import eu.dnetlib.dhp.schema.oaf.Publication;
import eu.dnetlib.dhp.schema.oaf.Result;
public class MergeUtilsTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper()
.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
@Test
void testMergePubs() throws IOException {
Publication p1 = read("publication_1.json", Publication.class);
Publication p2 = read("publication_2.json", Publication.class);
Dataset d1 = read("dataset_1.json", Dataset.class);
Dataset d2 = read("dataset_2.json", Dataset.class);
assertEquals(1, p1.getCollectedfrom().size());
assertEquals(ModelConstants.CROSSREF_ID, p1.getCollectedfrom().get(0).getKey());
assertEquals(1, d2.getCollectedfrom().size());
assertFalse(cfId(d2.getCollectedfrom()).contains(ModelConstants.CROSSREF_ID));
assertEquals(1, p2.getCollectedfrom().size());
assertFalse(cfId(p2.getCollectedfrom()).contains(ModelConstants.CROSSREF_ID));
assertEquals(1, d1.getCollectedfrom().size());
assertTrue(cfId(d1.getCollectedfrom()).contains(ModelConstants.CROSSREF_ID));
final Result p1d2 = MergeUtils.checkedMerge(p1, d2);
assertEquals(ModelConstants.PUBLICATION_RESULTTYPE_CLASSID, p1d2.getResulttype().getClassid());
assertTrue(p1d2 instanceof Publication);
assertEquals(p1.getId(), p1d2.getId());
}
@Test
void testMergePubs_1() throws IOException {
Publication p2 = read("publication_2.json", Publication.class);
Dataset d1 = read("dataset_1.json", Dataset.class);
final Result p2d1 = MergeUtils.checkedMerge(p2, d1);
assertEquals((ModelConstants.DATASET_RESULTTYPE_CLASSID), p2d1.getResulttype().getClassid());
assertTrue(p2d1 instanceof Dataset);
assertEquals(d1.getId(), p2d1.getId());
assertEquals(2, p2d1.getCollectedfrom().size());
}
@Test
void testMergePubs_2() throws IOException {
Publication p1 = read("publication_1.json", Publication.class);
Publication p2 = read("publication_2.json", Publication.class);
Result p1p2 = MergeUtils.checkedMerge(p1, p2);
assertTrue(p1p2 instanceof Publication);
assertEquals(p1.getId(), p1p2.getId());
assertEquals(2, p1p2.getCollectedfrom().size());
}
@Test
void testDelegatedAuthority_1() throws IOException {
Dataset d1 = read("dataset_2.json", Dataset.class);
Dataset d2 = read("dataset_delegated.json", Dataset.class);
assertEquals(1, d2.getCollectedfrom().size());
assertTrue(cfId(d2.getCollectedfrom()).contains(ModelConstants.ZENODO_OD_ID));
Result res = (Result) MergeUtils.merge(d1, d2, true);
assertEquals(d2, res);
}
@Test
void testDelegatedAuthority_2() throws IOException {
Dataset p1 = read("publication_1.json", Dataset.class);
Dataset d2 = read("dataset_delegated.json", Dataset.class);
assertEquals(1, d2.getCollectedfrom().size());
assertTrue(cfId(d2.getCollectedfrom()).contains(ModelConstants.ZENODO_OD_ID));
Result res = (Result) MergeUtils.merge(p1, d2, true);
assertEquals(d2, res);
}
protected HashSet<String> cfId(List<KeyValue> collectedfrom) {
return collectedfrom.stream().map(KeyValue::getKey).collect(Collectors.toCollection(HashSet::new));
}
protected <T extends Result> T read(String filename, Class<T> clazz) throws IOException {
final String json = IOUtils.toString(getClass().getResourceAsStream(filename));
return OBJECT_MAPPER.readValue(json, clazz);
}
}

View File

@ -149,7 +149,7 @@ class OafMapperUtilsTest {
void testDate() {
final String date = GraphCleaningFunctions.cleanDate("23-FEB-1998");
assertNotNull(date);
assertEquals("1998-02-23", date);
System.out.println(date);
}
@Test
@ -166,8 +166,8 @@ class OafMapperUtilsTest {
assertEquals(
ModelConstants.PUBLICATION_RESULTTYPE_CLASSID,
MergeUtils
.mergeResult(p1, d2)
OafMapperUtils
.mergeResults(p1, d2)
.getResulttype()
.getClassid());
@ -178,8 +178,8 @@ class OafMapperUtilsTest {
assertEquals(
ModelConstants.DATASET_RESULTTYPE_CLASSID,
MergeUtils
.mergeResult(p2, d1)
OafMapperUtils
.mergeResults(p2, d1)
.getResulttype()
.getClassid());
}
@ -192,7 +192,7 @@ class OafMapperUtilsTest {
assertEquals(1, d2.getCollectedfrom().size());
assertTrue(cfId(d2.getCollectedfrom()).contains(ModelConstants.ZENODO_OD_ID));
Result res = MergeUtils.mergeResult(d1, d2);
Result res = OafMapperUtils.mergeResults(d1, d2);
assertEquals(d2, res);

View File

@ -1,9 +1,10 @@
package eu.dnetlib.dhp.enrich.orcid;
package eu.dnetlib.oa.merge;
import static org.junit.jupiter.api.Assertions.*;
import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.util.Collections;
import java.util.List;
import java.util.Objects;
@ -13,9 +14,10 @@ import org.junit.platform.commons.util.StringUtils;
import com.fasterxml.jackson.core.type.TypeReference;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.oa.merge.AuthorMerger;
import eu.dnetlib.dhp.schema.oaf.Author;
public class ORCIDAuthorEnricherTest {
public class AuthorMergerTest {
@Test
public void testEnrcichAuthor() throws Exception {
@ -24,13 +26,12 @@ public class ORCIDAuthorEnricherTest {
BufferedReader pr = new BufferedReader(new InputStreamReader(
Objects
.requireNonNull(
ORCIDAuthorEnricherTest.class
.getResourceAsStream("/eu/dnetlib/dhp/enrich/orcid/authors_publication_sample.json"))));
AuthorMergerTest.class
.getResourceAsStream("/eu/dnetlib/dhp/oa/merge/authors_publication_sample.json"))));
BufferedReader or = new BufferedReader(new InputStreamReader(
Objects
.requireNonNull(
ORCIDAuthorEnricherTest.class
.getResourceAsStream("/eu/dnetlib/dhp/enrich/orcid/authors_orcid_sample.json"))));
AuthorMergerTest.class.getResourceAsStream("/eu/dnetlib/dhp/oa/merge/authors_orcid_sample.json"))));
TypeReference<List<Author>> aclass = new TypeReference<List<Author>>() {
};
@ -66,8 +67,7 @@ public class ORCIDAuthorEnricherTest {
long start = System.currentTimeMillis();
// final List<Author> enrichedList = AuthorMerger.enrichOrcid(publicationAuthors, orcidAuthors);
final List<Author> enrichedList = Collections.emptyList(); // SparkEnrichGraphWithOrcidAuthors.enrichOrcid(publicationAuthors,
// orcidAuthors);
final List<Author> enrichedList = AuthorMerger.enrichOrcid(publicationAuthors, orcidAuthors);
long enrichedAuthorWithPid = enrichedList
.stream()
@ -91,4 +91,24 @@ public class ORCIDAuthorEnricherTest {
}
}
@Test
public void checkSimilarityTest() {
final Author left = new Author();
left.setName("Anand");
left.setSurname("Rachna");
left.setFullname("Anand, Rachna");
System.out.println(AuthorMerger.normalizeFullName(left.getFullname()));
final Author right = new Author();
right.setName("Rachna");
right.setSurname("Anand");
right.setFullname("Rachna, Anand");
// System.out.println(AuthorMerger.normalize(right.getFullname()));
boolean same = AuthorMerger.checkORCIDSimilarity(left, right);
assertTrue(same);
}
}

View File

@ -23,18 +23,15 @@ public class InstanceTypeMatch extends AbstractListComparator {
// jolly types
translationMap.put("Conference object", "*");
translationMap.put("Research", "*");
translationMap.put("Other literature type", "*");
translationMap.put("Unknown", "*");
translationMap.put("UNKNOWN", "*");
// article types
translationMap.put("Article", "Article");
translationMap.put("Journal", "Article");
translationMap.put("Data Paper", "Article");
translationMap.put("Software Paper", "Article");
translationMap.put("Preprint", "Article");
translationMap.put("Part of book or chapter of book", "Article");
// thesis types
translationMap.put("Thesis", "Thesis");

View File

@ -1,13 +1,14 @@
package eu.dnetlib.dhp.actionmanager.promote;
import eu.dnetlib.dhp.common.FunctionalInterfaceSupport.SerializableSupplier;
import eu.dnetlib.dhp.schema.oaf.Oaf;
import eu.dnetlib.dhp.schema.oaf.utils.MergeUtils;
import static eu.dnetlib.dhp.schema.common.ModelSupport.isSubClass;
import java.util.function.BiFunction;
import static eu.dnetlib.dhp.schema.common.ModelSupport.isSubClass;
import eu.dnetlib.dhp.common.FunctionalInterfaceSupport.SerializableSupplier;
import eu.dnetlib.dhp.schema.oaf.Oaf;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Relation;
/** OAF model merging support. */
public class MergeAndGet {
@ -45,7 +46,20 @@ public class MergeAndGet {
}
private static <G extends Oaf, A extends Oaf> G mergeFromAndGet(G x, A y) {
return (G) MergeUtils.merge(x, y);
if (isSubClass(x, Relation.class) && isSubClass(y, Relation.class)) {
((Relation) x).mergeFrom((Relation) y);
return x;
} else if (isSubClass(x, OafEntity.class)
&& isSubClass(y, OafEntity.class)
&& isSubClass(x, y)) {
((OafEntity) x).mergeFrom((OafEntity) y);
return x;
}
throw new RuntimeException(
String
.format(
"MERGE_FROM_AND_GET incompatible types: %s, %s",
x.getClass().getCanonicalName(), y.getClass().getCanonicalName()));
}
@SuppressWarnings("unchecked")

View File

@ -64,9 +64,6 @@ public class PrepareAffiliationRelations implements Serializable {
final String pubmedInputPath = parser.get("pubmedInputPath");
log.info("pubmedInputPath: {}", pubmedInputPath);
final String openapcInputPath = parser.get("openapcInputPath");
log.info("openapcInputPath: {}", openapcInputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
@ -88,14 +85,8 @@ public class PrepareAffiliationRelations implements Serializable {
JavaPairRDD<Text, Text> pubmedRelations = prepareAffiliationRelations(
spark, pubmedInputPath, collectedFromPubmed);
List<KeyValue> collectedFromOpenAPC = OafMapperUtils
.listKeyValues(ModelConstants.OPEN_APC_ID, "OpenAPC");
JavaPairRDD<Text, Text> openAPCRelations = prepareAffiliationRelations(
spark, openapcInputPath, collectedFromOpenAPC);
crossrefRelations
.union(pubmedRelations)
.union(openAPCRelations)
.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);

View File

@ -95,7 +95,7 @@ public class SparkAtomicActionScoreJob implements Serializable {
return projectScores.map((MapFunction<BipProjectModel, Project>) bipProjectScores -> {
Project project = new Project();
//project.setId(bipProjectScores.getProjectId());
project.setId(bipProjectScores.getProjectId());
project.setMeasures(bipProjectScores.toMeasures());
return project;
}, Encoders.bean(Project.class))

View File

@ -34,11 +34,6 @@ public class BipProjectModel {
String totalCitationCount;
public String getProjectId() {
return projectId;
}
// each project bip measure has exactly one value, hence one key-value pair
private Measure createMeasure(String measureId, String measureValue) {

View File

@ -75,7 +75,6 @@ public class GetFOSSparkJob implements Serializable {
fosData.map((MapFunction<Row, FOSDataModel>) r -> {
FOSDataModel fosDataModel = new FOSDataModel();
fosDataModel.setDoi(r.getString(0).toLowerCase());
fosDataModel.setOaid(r.getString(1).toLowerCase());
fosDataModel.setLevel1(r.getString(2));
fosDataModel.setLevel2(r.getString(3));
fosDataModel.setLevel3(r.getString(4));

View File

@ -16,14 +16,12 @@ import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.jetbrains.annotations.NotNull;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.FOSDataModel;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
import eu.dnetlib.dhp.schema.oaf.Subject;
@ -54,90 +52,62 @@ public class PrepareFOSSparkJob implements Serializable {
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final Boolean distributeDOI = Optional
.ofNullable(parser.get("distributeDoi"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
if (distributeDOI)
distributeFOSdois(
spark,
sourcePath,
distributeFOSdois(
spark,
sourcePath,
outputPath);
else
distributeFOSoaid(spark, sourcePath, outputPath);
outputPath);
});
}
private static void distributeFOSoaid(SparkSession spark, String sourcePath, String outputPath) {
Dataset<FOSDataModel> fosDataset = readPath(spark, sourcePath, FOSDataModel.class);
fosDataset
.groupByKey((MapFunction<FOSDataModel, String>) v -> v.getOaid().toLowerCase(), Encoders.STRING())
.mapGroups((MapGroupsFunction<String, FOSDataModel, Result>) (k, it) -> {
return getResult(ModelSupport.getIdPrefix(Result.class) + "|" + k, it);
}, Encoders.bean(Result.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath + "/fos");
}
@NotNull
private static Result getResult(String k, Iterator<FOSDataModel> it) {
Result r = new Result();
FOSDataModel first = it.next();
r.setId(k);
HashSet<String> level1 = new HashSet<>();
HashSet<String> level2 = new HashSet<>();
HashSet<String> level3 = new HashSet<>();
HashSet<String> level4 = new HashSet<>();
addLevels(level1, level2, level3, level4, first);
it.forEachRemaining(v -> addLevels(level1, level2, level3, level4, v));
List<Subject> sbjs = new ArrayList<>();
level1
.forEach(l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
level2
.forEach(l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
level3
.forEach(
l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID, true)));
level4
.forEach(
l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID, true)));
r.setSubject(sbjs);
r
.setDataInfo(
OafMapperUtils
.dataInfo(
false, null, true,
false,
OafMapperUtils
.qualifier(
ModelConstants.PROVENANCE_ENRICH,
null,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
null));
return r;
}
private static void distributeFOSdois(SparkSession spark, String sourcePath, String outputPath) {
Dataset<FOSDataModel> fosDataset = readPath(spark, sourcePath, FOSDataModel.class);
fosDataset
.groupByKey((MapFunction<FOSDataModel, String>) v -> v.getDoi().toLowerCase(), Encoders.STRING())
.mapGroups(
(MapGroupsFunction<String, FOSDataModel, Result>) (k,
it) -> getResult(DHPUtils.generateUnresolvedIdentifier(k, DOI), it),
Encoders.bean(Result.class))
.mapGroups((MapGroupsFunction<String, FOSDataModel, Result>) (k, it) -> {
Result r = new Result();
FOSDataModel first = it.next();
r.setId(DHPUtils.generateUnresolvedIdentifier(k, DOI));
HashSet<String> level1 = new HashSet<>();
HashSet<String> level2 = new HashSet<>();
HashSet<String> level3 = new HashSet<>();
HashSet<String> level4 = new HashSet<>();
addLevels(level1, level2, level3, level4, first);
it.forEachRemaining(v -> addLevels(level1, level2, level3, level4, v));
List<Subject> sbjs = new ArrayList<>();
level1
.forEach(l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
level2
.forEach(l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID)));
level3
.forEach(
l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID, true)));
level4
.forEach(
l -> add(sbjs, getSubject(l, FOS_CLASS_ID, FOS_CLASS_NAME, UPDATE_SUBJECT_FOS_CLASS_ID, true)));
r.setSubject(sbjs);
r
.setDataInfo(
OafMapperUtils
.dataInfo(
false, null, true,
false,
OafMapperUtils
.qualifier(
ModelConstants.PROVENANCE_ENRICH,
null,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
null));
return r;
}, Encoders.bean(Result.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")

View File

@ -1,92 +0,0 @@
package eu.dnetlib.dhp.actionmanager.fosnodoi;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.IOException;
import java.io.Serializable;
import java.util.*;
import org.apache.commons.cli.ParseException;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.opencitations.model.COCI;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.utils.*;
import scala.Tuple2;
public class CreateActionSetSparkJob implements Serializable {
private static final Logger log = LoggerFactory.getLogger(CreateActionSetSparkJob.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static void main(final String[] args) throws IOException, ParseException {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
Objects
.requireNonNull(
CreateActionSetSparkJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/actionmanager/fosnodoi/as_parameters.json"))));
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String inputPath = parser.get("sourcePath");
log.info("inputPath {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath {}", outputPath);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> createActionSet(spark, inputPath, outputPath));
}
private static void createActionSet(SparkSession spark, String inputPath, String outputPath) {
spark
.read()
.textFile(inputPath)
.map(
(MapFunction<String, Result>) value -> OBJECT_MAPPER.readValue(value, Result.class),
Encoders.bean(Result.class))
.toJavaRDD()
.map(p -> new AtomicAction(p.getClass(), p))
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
}
}

View File

@ -22,14 +22,12 @@ import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.opencitations.model.COCI;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.*;
import eu.dnetlib.dhp.utils.DHPUtils;
@ -39,12 +37,16 @@ public class CreateActionSetSparkJob implements Serializable {
public static final String OPENCITATIONS_CLASSID = "sysimport:crosswalk:opencitations";
public static final String OPENCITATIONS_CLASSNAME = "Imported from OpenCitations";
// DOI-to-DOI citations
public static final String COCI = "COCI";
// PMID-to-PMID citations
public static final String POCI = "POCI";
private static final String DOI_PREFIX = "50|doi_________::";
private static final String PMID_PREFIX = "50|pmid________::";
private static final String ARXIV_PREFIX = "50|arXiv_______::";
private static final String PMCID_PREFIX = "50|pmcid_______::";
private static final String TRUST = "0.91";
private static final Logger log = LoggerFactory.getLogger(CreateActionSetSparkJob.class);
@ -77,30 +79,38 @@ public class CreateActionSetSparkJob implements Serializable {
final String outputPath = parser.get("outputPath");
log.info("outputPath {}", outputPath);
final boolean shouldDuplicateRels = Optional
.ofNullable(parser.get("shouldDuplicateRels"))
.map(Boolean::valueOf)
.orElse(Boolean.FALSE);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> extractContent(spark, inputPath, outputPath));
spark -> extractContent(spark, inputPath, outputPath, shouldDuplicateRels));
}
private static void extractContent(SparkSession spark, String inputPath, String outputPath) {
private static void extractContent(SparkSession spark, String inputPath, String outputPath,
boolean shouldDuplicateRels) {
getTextTextJavaPairRDD(spark, inputPath)
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);// , GzipCodec.class);
getTextTextJavaPairRDD(spark, inputPath, shouldDuplicateRels, COCI)
.union(getTextTextJavaPairRDD(spark, inputPath, shouldDuplicateRels, POCI))
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
}
private static JavaPairRDD<Text, Text> getTextTextJavaPairRDD(SparkSession spark, String inputPath) {
private static JavaPairRDD<Text, Text> getTextTextJavaPairRDD(SparkSession spark, String inputPath,
boolean shouldDuplicateRels, String prefix) {
return spark
.read()
.textFile(inputPath)
.textFile(inputPath + "/" + prefix + "/" + prefix + "_JSON/*")
.map(
(MapFunction<String, COCI>) value -> OBJECT_MAPPER.readValue(value, COCI.class),
Encoders.bean(COCI.class))
.flatMap(
(FlatMapFunction<COCI, Relation>) value -> createRelation(
value)
value, shouldDuplicateRels, prefix)
.iterator(),
Encoders.bean(Relation.class))
.filter((FilterFunction<Relation>) Objects::nonNull)
@ -111,68 +121,34 @@ public class CreateActionSetSparkJob implements Serializable {
new Text(OBJECT_MAPPER.writeValueAsString(aa))));
}
private static List<Relation> createRelation(COCI value) throws JsonProcessingException {
private static List<Relation> createRelation(COCI value, boolean duplicate, String p) {
List<Relation> relationList = new ArrayList<>();
String prefix;
String citing;
String cited;
switch (value.getCiting_pid()) {
case "doi":
citing = DOI_PREFIX
switch (p) {
case COCI:
prefix = DOI_PREFIX;
citing = prefix
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.doi.toString(), value.getCiting()));
break;
case "pmid":
citing = PMID_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmid.toString(), value.getCiting()));
break;
case "arxiv":
citing = ARXIV_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.arXiv.toString(), value.getCiting()));
break;
case "pmcid":
citing = PMCID_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmc.toString(), value.getCiting()));
break;
case "isbn":
case "issn":
return relationList;
default:
throw new IllegalStateException("Invalid prefix: " + new ObjectMapper().writeValueAsString(value));
}
switch (value.getCited_pid()) {
case "doi":
cited = DOI_PREFIX
cited = prefix
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.doi.toString(), value.getCited()));
break;
case "pmid":
cited = PMID_PREFIX
case POCI:
prefix = PMID_PREFIX;
citing = prefix
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmid.toString(), value.getCiting()));
cited = prefix
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmid.toString(), value.getCited()));
break;
case "arxiv":
cited = ARXIV_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.arXiv.toString(), value.getCited()));
break;
case "pmcid":
cited = PMCID_PREFIX
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.pmc.toString(), value.getCited()));
break;
case "isbn":
case "issn":
return relationList;
default:
throw new IllegalStateException("Invalid prefix: " + new ObjectMapper().writeValueAsString(value));
throw new IllegalStateException("Invalid prefix: " + p);
}
if (!citing.equals(cited)) {
@ -181,6 +157,15 @@ public class CreateActionSetSparkJob implements Serializable {
getRelation(
citing,
cited, ModelConstants.CITES));
if (duplicate && value.getCiting().endsWith(".refs")) {
citing = prefix + IdentifierFactory
.md5(
CleaningFunctions
.normalizePidValue(
"doi", value.getCiting().substring(0, value.getCiting().indexOf(".refs"))));
relationList.add(getRelation(citing, cited, ModelConstants.CITES));
}
}
return relationList;

View File

@ -12,7 +12,10 @@ import java.util.zip.ZipInputStream;
import org.apache.commons.cli.ParseException;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.*;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@ -34,17 +37,17 @@ public class GetOpenCitationsRefs implements Serializable {
parser.parseArgument(args);
// final String[] inputFile = parser.get("inputFile").split(";");
// log.info("inputFile {}", Arrays.asList(inputFile));
final String[] inputFile = parser.get("inputFile").split(";");
log.info("inputFile {}", Arrays.asList(inputFile));
final String inputPath = parser.get("inputPath");
log.info("inputPath {}", inputPath);
final String workingPath = parser.get("workingPath");
log.info("workingPath {}", workingPath);
final String hdfsNameNode = parser.get("hdfsNameNode");
log.info("hdfsNameNode {}", hdfsNameNode);
final String outputPath = parser.get("outputPath");
log.info("outputPath {}", outputPath);
final String prefix = parser.get("prefix");
log.info("prefix {}", prefix);
Configuration conf = new Configuration();
conf.set("fs.defaultFS", hdfsNameNode);
@ -53,42 +56,41 @@ public class GetOpenCitationsRefs implements Serializable {
GetOpenCitationsRefs ocr = new GetOpenCitationsRefs();
ocr.doExtract(inputPath, outputPath, fileSystem);
for (String file : inputFile) {
ocr.doExtract(workingPath + "/Original/" + file, workingPath, fileSystem, prefix);
}
}
private void doExtract(String inputPath, String outputPath, FileSystem fileSystem)
private void doExtract(String inputFile, String workingPath, FileSystem fileSystem, String prefix)
throws IOException {
RemoteIterator<LocatedFileStatus> fileStatusListIterator = fileSystem
.listFiles(
new Path(inputPath), true);
while (fileStatusListIterator.hasNext()) {
LocatedFileStatus fileStatus = fileStatusListIterator.next();
// do stuff with the file like ...
FSDataInputStream oc_zip = fileSystem.open(fileStatus.getPath());
try (ZipInputStream zis = new ZipInputStream(oc_zip)) {
ZipEntry entry = null;
while ((entry = zis.getNextEntry()) != null) {
final Path path = new Path(inputFile);
if (!entry.isDirectory()) {
String fileName = entry.getName();
// fileName = fileName.substring(0, fileName.indexOf("T")) + "_" + count;
fileName = fileName.substring(0, fileName.lastIndexOf("."));
// count++;
try (
FSDataOutputStream out = fileSystem
.create(new Path(outputPath + "/" + fileName + ".gz"));
GZIPOutputStream gzipOs = new GZIPOutputStream(new BufferedOutputStream(out))) {
FSDataInputStream oc_zip = fileSystem.open(path);
IOUtils.copy(zis, gzipOs);
// int count = 1;
try (ZipInputStream zis = new ZipInputStream(oc_zip)) {
ZipEntry entry = null;
while ((entry = zis.getNextEntry()) != null) {
if (!entry.isDirectory()) {
String fileName = entry.getName();
// fileName = fileName.substring(0, fileName.indexOf("T")) + "_" + count;
fileName = fileName.substring(0, fileName.lastIndexOf("."));
// count++;
try (
FSDataOutputStream out = fileSystem
.create(new Path(workingPath + "/" + prefix + "/" + fileName + ".gz"));
GZIPOutputStream gzipOs = new GZIPOutputStream(new BufferedOutputStream(out))) {
IOUtils.copy(zis, gzipOs);
}
}
}
}
}
}

View File

@ -1,171 +0,0 @@
package eu.dnetlib.dhp.actionmanager.opencitations;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.IOException;
import java.io.Serializable;
import java.util.Arrays;
import java.util.Objects;
import java.util.Optional;
import java.util.stream.Collectors;
import java.util.zip.ZipEntry;
import java.util.zip.ZipInputStream;
import org.apache.commons.cli.ParseException;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.ForeachFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.opencitations.model.COCI;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import scala.Tuple2;
/**
* @author miriam.baglioni
* @Date 29/02/24
*/
public class MapOCIdsInPids implements Serializable {
private static final Logger log = LoggerFactory.getLogger(CreateActionSetSparkJob.class);
private static final String DELIMITER = ",";
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static void main(final String[] args) throws IOException, ParseException {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
Objects
.requireNonNull(
MapOCIdsInPids.class
.getResourceAsStream(
"/eu/dnetlib/dhp/actionmanager/opencitations/remap_parameters.json"))));
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String inputPath = parser.get("inputPath");
log.info("inputPath {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath {}", outputPath);
final String nameNode = parser.get("nameNode");
log.info("nameNode {}", nameNode);
unzipCorrespondenceFile(inputPath, nameNode);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> mapIdentifiers(spark, inputPath, outputPath));
}
private static void unzipCorrespondenceFile(String inputPath, String hdfsNameNode) throws IOException {
Configuration conf = new Configuration();
conf.set("fs.defaultFS", hdfsNameNode);
final Path path = new Path(inputPath + "/correspondence/omid.zip");
FileSystem fileSystem = FileSystem.get(conf);
FSDataInputStream project_zip = fileSystem.open(path);
try (ZipInputStream zis = new ZipInputStream(project_zip)) {
ZipEntry entry = null;
while ((entry = zis.getNextEntry()) != null) {
if (!entry.isDirectory()) {
String fileName = entry.getName();
byte buffer[] = new byte[1024];
int count;
try (
FSDataOutputStream out = fileSystem
.create(new Path(inputPath + "/correspondence/omid.csv"))) {
while ((count = zis.read(buffer, 0, buffer.length)) != -1)
out.write(buffer, 0, count);
}
}
}
}
}
private static void mapIdentifiers(SparkSession spark, String inputPath, String outputPath) {
Dataset<COCI> coci = spark
.read()
.textFile(inputPath + "/JSON")
.map(
(MapFunction<String, COCI>) value -> OBJECT_MAPPER.readValue(value, COCI.class),
Encoders.bean(COCI.class));
Dataset<Tuple2<String, String>> correspondenceData = spark
.read()
.format("csv")
.option("sep", DELIMITER)
.option("inferSchema", "true")
.option("header", "true")
.option("quotes", "\"")
.load(inputPath + "/correspondence/omid.csv")
.repartition(5000)
.flatMap((FlatMapFunction<Row, Tuple2<String, String>>) r -> {
String ocIdentifier = r.getAs("omid");
String[] correspondentIdentifiers = ((String) r.getAs("id")).split(" ");
return Arrays
.stream(correspondentIdentifiers)
.map(ci -> new Tuple2<String, String>(ocIdentifier, ci))
.collect(Collectors.toList())
.iterator();
}, Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
Dataset<COCI> mappedCitingDataset = coci
.joinWith(correspondenceData, coci.col("citing").equalTo(correspondenceData.col("_1")))
.map((MapFunction<Tuple2<COCI, Tuple2<String, String>>, COCI>) t2 -> {
String correspondent = t2._2()._2();
t2._1().setCiting_pid(correspondent.substring(0, correspondent.indexOf(":")));
t2._1().setCiting(correspondent.substring(correspondent.indexOf(":") + 1));
return t2._1();
}, Encoders.bean(COCI.class));
mappedCitingDataset
.joinWith(correspondenceData, mappedCitingDataset.col("cited").equalTo(correspondenceData.col("_1")))
.map((MapFunction<Tuple2<COCI, Tuple2<String, String>>, COCI>) t2 -> {
String correspondent = t2._2()._2();
t2._1().setCited_pid(correspondent.substring(0, correspondent.indexOf(":")));
t2._1().setCited(correspondent.substring(correspondent.indexOf(":") + 1));
return t2._1();
}, Encoders.bean(COCI.class))
.write()
.mode(SaveMode.Append)
.option("compression", "gzip")
.json(outputPath);
}
}

View File

@ -12,9 +12,11 @@ import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.*;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.LocatedFileStatus;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.RemoteIterator;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.*;
import org.slf4j.Logger;
@ -40,21 +42,19 @@ public class ReadCOCI implements Serializable {
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final String hdfsNameNode = parser.get("hdfsNameNode");
log.info("hdfsNameNode {}", hdfsNameNode);
final String[] inputFile = parser.get("inputFile").split(";");
log.info("inputFile {}", Arrays.asList(inputFile));
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String workingPath = parser.get("inputPath");
final String workingPath = parser.get("workingPath");
log.info("workingPath {}", workingPath);
final String format = parser.get("format");
log.info("format {}", format);
SparkConf sconf = new SparkConf();
Configuration conf = new Configuration();
conf.set("fs.defaultFS", hdfsNameNode);
FileSystem fileSystem = FileSystem.get(conf);
final String delimiter = Optional
.ofNullable(parser.get("delimiter"))
.orElse(DEFAULT_DELIMITER);
@ -66,21 +66,20 @@ public class ReadCOCI implements Serializable {
doRead(
spark,
workingPath,
fileSystem,
inputFile,
outputPath,
delimiter);
delimiter,
format);
});
}
private static void doRead(SparkSession spark, String workingPath, FileSystem fileSystem,
private static void doRead(SparkSession spark, String workingPath, String[] inputFiles,
String outputPath,
String delimiter) throws IOException {
RemoteIterator<LocatedFileStatus> fileStatusListIterator = fileSystem
.listFiles(
new Path(workingPath), true);
while (fileStatusListIterator.hasNext()) {
LocatedFileStatus fileStatus = fileStatusListIterator.next();
log.info("extracting file {}", fileStatus.getPath().toString());
String delimiter, String format) {
for (String inputFile : inputFiles) {
String pString = workingPath + "/" + inputFile + ".gz";
Dataset<Row> cociData = spark
.read()
.format("csv")
@ -88,26 +87,26 @@ public class ReadCOCI implements Serializable {
.option("inferSchema", "true")
.option("header", "true")
.option("quotes", "\"")
.load(fileStatus.getPath().toString())
.load(pString)
.repartition(100);
cociData.map((MapFunction<Row, COCI>) row -> {
COCI coci = new COCI();
coci.setCiting(row.getString(1));
coci.setCited(row.getString(2));
if (format.equals("COCI")) {
coci.setCiting(row.getString(1));
coci.setCited(row.getString(2));
} else {
coci.setCiting(String.valueOf(row.getInt(1)));
coci.setCited(String.valueOf(row.getInt(2)));
}
coci.setOci(row.getString(0));
return coci;
}, Encoders.bean(COCI.class))
.filter((FilterFunction<COCI>) c -> c != null)
.write()
.mode(SaveMode.Append)
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath);
fileSystem.rename(fileStatus.getPath(), new Path("/tmp/miriam/OC/DONE"));
.json(outputPath + inputFile);
}
}

View File

@ -9,10 +9,8 @@ public class COCI implements Serializable {
private String oci;
private String citing;
private String citing_pid;
private String cited;
private String cited_pid;
public String getOci() {
return oci;
@ -27,8 +25,6 @@ public class COCI implements Serializable {
}
public void setCiting(String citing) {
if (citing != null && citing.startsWith("omid:"))
citing = citing.substring(5);
this.citing = citing;
}
@ -37,24 +33,7 @@ public class COCI implements Serializable {
}
public void setCited(String cited) {
if (cited != null && cited.startsWith("omid:"))
cited = cited.substring(5);
this.cited = cited;
}
public String getCiting_pid() {
return citing_pid;
}
public void setCiting_pid(String citing_pid) {
this.citing_pid = citing_pid;
}
public String getCited_pid() {
return cited_pid;
}
public void setCited_pid(String cited_pid) {
this.cited_pid = cited_pid;
}
}

View File

@ -1,20 +1,12 @@
package eu.dnetlib.dhp.actionmanager.project;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.project.utils.model.CSVProgramme;
import eu.dnetlib.dhp.actionmanager.project.utils.model.CSVProject;
import eu.dnetlib.dhp.actionmanager.project.utils.model.JsonTopic;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.H2020Classification;
import eu.dnetlib.dhp.schema.oaf.H2020Programme;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Project;
import eu.dnetlib.dhp.schema.oaf.utils.MergeUtils;
import eu.dnetlib.dhp.utils.DHPUtils;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.Arrays;
import java.util.Objects;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
@ -26,14 +18,24 @@ import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.project.utils.model.CSVProgramme;
import eu.dnetlib.dhp.actionmanager.project.utils.model.CSVProject;
import eu.dnetlib.dhp.actionmanager.project.utils.model.EXCELTopic;
import eu.dnetlib.dhp.actionmanager.project.utils.model.JsonTopic;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.H2020Classification;
import eu.dnetlib.dhp.schema.oaf.H2020Programme;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Project;
import eu.dnetlib.dhp.utils.DHPUtils;
import scala.Tuple2;
import java.util.Arrays;
import java.util.Objects;
import java.util.Optional;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
/**
* Class that makes the ActionSet. To prepare the AS two joins are needed
*
@ -158,11 +160,9 @@ public class SparkAtomicActionJob {
(MapFunction<Project, String>) OafEntity::getId,
Encoders.STRING())
.mapGroups((MapGroupsFunction<String, Project, Project>) (s, it) -> {
Project merge = it.next();
while (it.hasNext()) {
merge = MergeUtils.mergeProject(merge, it.next());
}
return merge;
Project first = it.next();
it.forEachRemaining(first::mergeFrom);
return first;
}, Encoders.bean(Project.class))
.toJavaRDD()
.map(p -> new AtomicAction(Project.class, p))

View File

@ -1,195 +0,0 @@
package eu.dnetlib.dhp.actionmanager.transformativeagreement;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.IOException;
import java.io.Serializable;
import java.util.*;
import org.apache.commons.cli.ParseException;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.transformativeagreement.model.TransformativeAgreementModel;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Country;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.utils.*;
import scala.Tuple2;
public class CreateActionSetSparkJob implements Serializable {
private static final Logger log = LoggerFactory.getLogger(CreateActionSetSparkJob.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static final String IREL_PROJECT = "40|100018998___::1e5e62235d094afd01cd56e65112fc63";
private static final String TRANSFORMATIVE_AGREEMENT = "openapc::transformativeagreement";
public static void main(final String[] args) throws IOException, ParseException {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
Objects
.requireNonNull(
CreateActionSetSparkJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/actionmanager/transformativeagreement/as_parameters.json"))));
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String inputPath = parser.get("inputPath");
log.info("inputPath {}", inputPath);
final String outputPath = parser.get("outputPath");
log.info("outputPath {}", outputPath);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> createActionSet(spark, inputPath, outputPath));
}
private static void createActionSet(SparkSession spark, String inputPath, String outputPath) {
JavaRDD<AtomicAction> relations = spark
.read()
.textFile(inputPath)
.map(
(MapFunction<String, TransformativeAgreementModel>) value -> OBJECT_MAPPER
.readValue(value, TransformativeAgreementModel.class),
Encoders.bean(TransformativeAgreementModel.class))
.flatMap(
(FlatMapFunction<TransformativeAgreementModel, Relation>) value -> createRelation(
value)
.iterator(),
Encoders.bean(Relation.class))
.filter((FilterFunction<Relation>) Objects::nonNull)
.toJavaRDD()
.map(p -> new AtomicAction(p.getClass(), p));
//TODO relations in stand-by waiting to know if we need to create them or not In case we need just make a union before saving the sequence file
spark
.read()
.textFile(inputPath)
.map(
(MapFunction<String, TransformativeAgreementModel>) value -> OBJECT_MAPPER
.readValue(value, TransformativeAgreementModel.class),
Encoders.bean(TransformativeAgreementModel.class))
.map(
(MapFunction<TransformativeAgreementModel, Result>) value -> createResult(
value),
Encoders.bean(Result.class))
.filter((FilterFunction<Result>) r -> r != null)
.toJavaRDD()
.map(p -> new AtomicAction(p.getClass(), p))
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
.saveAsHadoopFile(
outputPath, Text.class, Text.class, SequenceFileOutputFormat.class, GzipCodec.class);
}
private static Result createResult(TransformativeAgreementModel value) {
Result r = new Result();
r
.setId(
"50|doi_________::"
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.doi.toString(), value.getDoi())));
r.setTransformativeAgreement(value.getAgreement());
Country country = new Country();
country.setClassid(value.getCountry());
country.setClassname(value.getCountry());
country
.setDataInfo(
OafMapperUtils
.dataInfo(
false, ModelConstants.SYSIMPORT_ACTIONSET, false, false,
OafMapperUtils
.qualifier(
"openapc::transformativeagreement",
"Harvested from Trnasformative Agreement file from OpenAPC",
ModelConstants.DNET_PROVENANCE_ACTIONS, ModelConstants.DNET_PROVENANCE_ACTIONS),
"0.9"));
country.setSchemeid(ModelConstants.DNET_COUNTRY_TYPE);
country.setSchemename(ModelConstants.DNET_COUNTRY_TYPE);
r.setCountry(Arrays.asList(country));
return r;
}
private static List<Relation> createRelation(TransformativeAgreementModel value) {
List<Relation> relationList = new ArrayList<>();
if (value.getAgreement().startsWith("IReL")) {
String paper;
paper = "50|doi_________::"
+ IdentifierFactory
.md5(PidCleaner.normalizePidValue(PidType.doi.toString(), value.getDoi()));
relationList
.add(
getRelation(
paper,
IREL_PROJECT, ModelConstants.IS_PRODUCED_BY));
relationList.add(getRelation(IREL_PROJECT, paper, ModelConstants.PRODUCES));
}
return relationList;
}
public static Relation getRelation(
String source,
String target,
String relClass) {
return OafMapperUtils
.getRelation(
source,
target,
ModelConstants.RESULT_PROJECT,
ModelConstants.OUTCOME,
relClass,
Arrays
.asList(
OafMapperUtils.keyValue(ModelConstants.OPEN_APC_ID, ModelConstants.OPEN_APC_NAME)),
OafMapperUtils
.dataInfo(
false, null, false, false,
OafMapperUtils
.qualifier(
TRANSFORMATIVE_AGREEMENT, "Transformative Agreement",
ModelConstants.DNET_PROVENANCE_ACTIONS, ModelConstants.DNET_PROVENANCE_ACTIONS),
"0.9"),
null);
}
}

View File

@ -1,51 +0,0 @@
package eu.dnetlib.dhp.actionmanager.transformativeagreement.model;
import java.io.Serializable;
import com.fasterxml.jackson.annotation.JsonIgnoreProperties;
/**
* @author miriam.baglioni
* @Date 18/12/23
*/
@JsonIgnoreProperties(ignoreUnknown = true)
public class TransformativeAgreementModel implements Serializable {
private String institution;
private String doi;
private String agreement;
private String country;
public String getCountry() {
return country;
}
public void setCountry(String country) {
this.country = country;
}
public String getInstitution() {
return institution;
}
public void setInstitution(String institution) {
this.institution = institution;
}
public String getDoi() {
return doi;
}
public void setDoi(String doi) {
this.doi = doi;
}
public String getAgreement() {
return agreement;
}
public void setAgreement(String agreement) {
this.agreement = agreement;
}
}

View File

@ -1,244 +0,0 @@
package eu.dnetlib.dhp.collection.orcid;
import java.io.IOException;
import java.io.InputStream;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.concurrent.BlockingQueue;
import javax.swing.*;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.hadoop.io.SequenceFile;
import org.apache.hadoop.io.Text;
import org.apache.http.HttpHeaders;
import org.jetbrains.annotations.NotNull;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
public class ORCIDWorker extends Thread {
final static Logger log = LoggerFactory.getLogger(ORCIDWorker.class);
public static String JOB_COMPLETE = "JOB_COMPLETE";
private static final String userAgent = "Mozilla/5.0 (compatible; OAI; +http://www.openaire.eu)";
private final BlockingQueue<String> queue;
private boolean hasComplete = false;
private final SequenceFile.Writer employments;
private final SequenceFile.Writer summary;
private final SequenceFile.Writer works;
private final String token;
private final String id;
public static ORCIDWorkerBuilder builder() {
return new ORCIDWorkerBuilder();
}
public ORCIDWorker(String id, BlockingQueue<String> myqueue, SequenceFile.Writer employments,
SequenceFile.Writer summary, SequenceFile.Writer works, String token) {
this.id = id;
this.queue = myqueue;
this.employments = employments;
this.summary = summary;
this.works = works;
this.token = token;
}
public static String retrieveURL(final String id, final String apiUrl, String token) {
try {
final HttpURLConnection urlConn = getHttpURLConnection(apiUrl, token);
if (urlConn.getResponseCode() > 199 && urlConn.getResponseCode() < 300) {
InputStream input = urlConn.getInputStream();
return IOUtils.toString(input);
} else {
log
.error(
"Thread {} UNABLE TO DOWNLOAD FROM THIS URL {} , status code {}", id, apiUrl,
urlConn.getResponseCode());
}
} catch (Exception e) {
log.error("Thread {} Error on retrieving URL {} {}", id, apiUrl, e);
}
return null;
}
@NotNull
private static HttpURLConnection getHttpURLConnection(String apiUrl, String token) throws IOException {
final HttpURLConnection urlConn = (HttpURLConnection) new URL(apiUrl).openConnection();
final HttpClientParams clientParams = new HttpClientParams();
urlConn.setInstanceFollowRedirects(false);
urlConn.setReadTimeout(clientParams.getReadTimeOut() * 1000);
urlConn.setConnectTimeout(clientParams.getConnectTimeOut() * 1000);
urlConn.addRequestProperty(HttpHeaders.USER_AGENT, userAgent);
urlConn.addRequestProperty(HttpHeaders.AUTHORIZATION, String.format("Bearer %s", token));
return urlConn;
}
private static String generateSummaryURL(final String orcidId) {
return "https://api.orcid.org/v3.0/" + orcidId + "/record";
}
private static String generateWorksURL(final String orcidId) {
return "https://api.orcid.org/v3.0/" + orcidId + "/works";
}
private static String generateEmploymentsURL(final String orcidId) {
return "https://api.orcid.org/v3.0/" + orcidId + "/employments";
}
private static void writeResultToSequenceFile(String id, String url, String token, String orcidId,
SequenceFile.Writer file) throws IOException {
final String response = retrieveURL(id, url, token);
if (response != null) {
if (orcidId == null) {
log.error("Thread {} {} {}", id, orcidId, response);
throw new RuntimeException("null items ");
}
if (file == null) {
log.error("Thread {} file is null for {} URL:{}", id, url, orcidId);
} else {
file.append(new Text(orcidId), new Text(response));
file.hflush();
}
} else
log.error("Thread {} response is null for {} URL:{}", id, url, orcidId);
}
@Override
public void run() {
final Text key = new Text();
final Text value = new Text();
long start;
long total_time;
String orcidId = "";
int requests = 0;
if (summary == null || employments == null || works == null)
throw new RuntimeException("Null files");
while (!hasComplete) {
try {
orcidId = queue.take();
if (orcidId.equalsIgnoreCase(JOB_COMPLETE)) {
hasComplete = true;
} else {
start = System.currentTimeMillis();
writeResultToSequenceFile(id, generateSummaryURL(orcidId), token, orcidId, summary);
total_time = System.currentTimeMillis() - start;
requests++;
if (total_time < 1000) {
// I know making a sleep on a thread is bad, but we need to stay to 24 requests per seconds,
// hence
// the time between two http request in a thread must be 1 second
Thread.sleep(1000L - total_time);
}
start = System.currentTimeMillis();
writeResultToSequenceFile(id, generateWorksURL(orcidId), token, orcidId, works);
total_time = System.currentTimeMillis() - start;
requests++;
if (total_time < 1000) {
// I know making a sleep on a thread is bad, but we need to stay to 24 requests per seconds,
// hence
// the time between two http request in a thread must be 1 second
Thread.sleep(1000L - total_time);
}
start = System.currentTimeMillis();
writeResultToSequenceFile(id, generateEmploymentsURL(orcidId), token, orcidId, employments);
total_time = System.currentTimeMillis() - start;
requests++;
if (total_time < 1000) {
// I know making a sleep on a thread is bad, but we need to stay to 24 requests per seconds,
// hence
// the time between two http request in a thread must be 1 second
Thread.sleep(1000L - total_time);
}
if (requests % 30 == 0) {
log.info("Thread {} Downloaded {}", id, requests);
}
}
} catch (Throwable e) {
log.error("Thread {} Unable to save ORICD: {} item error", id, orcidId, e);
}
}
try {
works.close();
summary.close();
employments.close();
} catch (Throwable e) {
throw new RuntimeException(e);
}
log.info("Thread {} COMPLETE ", id);
log.info("Thread {} Downloaded {}", id, requests);
}
public static class ORCIDWorkerBuilder {
private String id;
private SequenceFile.Writer employments;
private SequenceFile.Writer summary;
private SequenceFile.Writer works;
private BlockingQueue<String> queue;
private String token;
public ORCIDWorkerBuilder withId(final String id) {
this.id = id;
return this;
}
public ORCIDWorkerBuilder withEmployments(final SequenceFile.Writer sequenceFile) {
this.employments = sequenceFile;
return this;
}
public ORCIDWorkerBuilder withSummary(final SequenceFile.Writer sequenceFile) {
this.summary = sequenceFile;
return this;
}
public ORCIDWorkerBuilder withWorks(final SequenceFile.Writer sequenceFile) {
this.works = sequenceFile;
return this;
}
public ORCIDWorkerBuilder withAccessToken(final String accessToken) {
this.token = accessToken;
return this;
}
public ORCIDWorkerBuilder withBlockingQueue(final BlockingQueue<String> queue) {
this.queue = queue;
return this;
}
public ORCIDWorker build() {
if (this.summary == null || this.works == null || this.employments == null || StringUtils.isEmpty(token)
|| queue == null)
throw new RuntimeException("Unable to build missing required params");
return new ORCIDWorker(id, queue, employments, summary, works, token);
}
}
}

View File

@ -1,171 +0,0 @@
package eu.dnetlib.dhp.collection.orcid;
import static eu.dnetlib.dhp.utils.DHPUtils.getHadoopConfiguration;
import java.io.*;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.ArrayList;
import java.util.List;
import java.util.Objects;
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.BlockingQueue;
import org.apache.commons.compress.archivers.tar.TarArchiveEntry;
import org.apache.commons.compress.archivers.tar.TarArchiveInputStream;
import org.apache.commons.compress.compressors.gzip.GzipCompressorInputStream;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.SequenceFile;
import org.apache.hadoop.io.Text;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
public class OrcidGetUpdatesFile {
private static Logger log = LoggerFactory.getLogger(OrcidGetUpdatesFile.class);
public static void main(String[] args) throws Exception {
ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
Objects
.requireNonNull(
OrcidGetUpdatesFile.class
.getResourceAsStream(
"/eu/dnetlib/dhp/collection/orcid/download_orcid_update_parameter.json")))
);
parser.parseArgument(args);
final String namenode = parser.get("namenode");
log.info("got variable namenode: {}", namenode);
final String master = parser.get("master");
log.info("got variable master: {}", master);
final String targetPath = parser.get("targetPath");
log.info("got variable targetPath: {}", targetPath);
final String apiURL = parser.get("apiURL");
log.info("got variable apiURL: {}", apiURL);
final String accessToken = parser.get("accessToken");
log.info("got variable accessToken: {}", accessToken);
final String graphPath = parser.get("graphPath");
log.info("got variable graphPath: {}", graphPath);
final SparkSession spark = SparkSession
.builder()
.appName(OrcidGetUpdatesFile.class.getName())
.master(master)
.getOrCreate();
final String latestDate = spark
.read()
.load(graphPath + "/Authors")
.selectExpr("max(lastModifiedDate)")
.first()
.getString(0);
log.info("latest date is {}", latestDate);
final FileSystem fileSystem = FileSystem.get(getHadoopConfiguration(namenode));
new OrcidGetUpdatesFile().readTar(fileSystem, accessToken, apiURL, targetPath, latestDate);
}
private SequenceFile.Writer createFile(Path aPath, FileSystem fileSystem) throws IOException {
return SequenceFile
.createWriter(
fileSystem.getConf(),
SequenceFile.Writer.file(aPath),
SequenceFile.Writer.keyClass(Text.class),
SequenceFile.Writer.valueClass(Text.class));
}
private ORCIDWorker createWorker(final String id, final String targetPath, final BlockingQueue<String> queue,
final String accessToken, FileSystem fileSystem) throws Exception {
return ORCIDWorker
.builder()
.withId(id)
.withEmployments(createFile(new Path(String.format("%s/employments_%s", targetPath, id)), fileSystem))
.withSummary(createFile(new Path(String.format("%s/summary_%s", targetPath, id)), fileSystem))
.withWorks(createFile(new Path(String.format("%s/works_%s", targetPath, id)), fileSystem))
.withAccessToken(accessToken)
.withBlockingQueue(queue)
.build();
}
public void readTar(FileSystem fileSystem, final String accessToken, final String apiURL, final String targetPath,
final String startDate) throws Exception {
final HttpURLConnection urlConn = (HttpURLConnection) new URL(apiURL).openConnection();
final HttpClientParams clientParams = new HttpClientParams();
urlConn.setInstanceFollowRedirects(false);
urlConn.setReadTimeout(clientParams.getReadTimeOut() * 1000);
urlConn.setConnectTimeout(clientParams.getConnectTimeOut() * 1000);
if (urlConn.getResponseCode() > 199 && urlConn.getResponseCode() < 300) {
InputStream input = urlConn.getInputStream();
Path hdfsWritePath = new Path("/tmp/orcid_updates.tar.gz");
final FSDataOutputStream fsDataOutputStream = fileSystem.create(hdfsWritePath, true);
IOUtils.copy(input, fsDataOutputStream);
fsDataOutputStream.flush();
fsDataOutputStream.close();
FSDataInputStream updateFile = fileSystem.open(hdfsWritePath);
TarArchiveInputStream tais = new TarArchiveInputStream(new GzipCompressorInputStream(
new BufferedInputStream(
updateFile.getWrappedStream())));
TarArchiveEntry entry;
BlockingQueue<String> queue = new ArrayBlockingQueue<String>(3000);
final List<ORCIDWorker> workers = new ArrayList<>();
for (int i = 0; i < 22; i++) {
workers.add(createWorker("" + i, targetPath, queue, accessToken, fileSystem));
}
workers.forEach(Thread::start);
while ((entry = tais.getNextTarEntry()) != null) {
if (entry.isFile()) {
BufferedReader br = new BufferedReader(new InputStreamReader(tais));
System.out.println(br.readLine());
br
.lines()
.map(l -> l.split(","))
.filter(s -> StringUtils.compare(s[3].substring(0, 10), startDate) > 0)
.map(s -> s[0])
.forEach(s -> {
try {
queue.put(s);
} catch (InterruptedException e) {
throw new RuntimeException(e);
}
});
}
}
for (int i = 0; i < 22; i++) {
queue.put(ORCIDWorker.JOB_COMPLETE);
}
for (ORCIDWorker worker : workers) {
worker.join();
}
}
}
}

View File

@ -1,15 +1,11 @@
package eu.dnetlib.dhp.collection.orcid;
import java.util.*;
import java.util.stream.Collectors;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import org.apache.commons.lang3.StringUtils;
import org.dom4j.Document;
import org.dom4j.DocumentFactory;
import org.dom4j.DocumentHelper;
import org.dom4j.Node;
import org.jetbrains.annotations.NotNull;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@ -44,8 +40,8 @@ public class OrcidParser {
private static final String NS_ERROR = "error";
private static final String NS_HISTORY = "history";
private static final String NS_HISTORY_URL = "http://www.orcid.org/ns/history";
private static final String NS_EMPLOYMENT = "employment";
private static final String NS_EMPLOYMENT_URL = "http://www.orcid.org/ns/employment";
private static final String NS_BULK_URL = "http://www.orcid.org/ns/bulk";
private static final String NS_BULK = "bulk";
private static final String NS_EXTERNAL = "external-identifier";
private static final String NS_EXTERNAL_URL = "http://www.orcid.org/ns/external-identifier";
@ -65,7 +61,6 @@ public class OrcidParser {
ap.declareXPathNameSpace(NS_WORK, NS_WORK_URL);
ap.declareXPathNameSpace(NS_EXTERNAL, NS_EXTERNAL_URL);
ap.declareXPathNameSpace(NS_ACTIVITIES, NS_ACTIVITIES_URL);
ap.declareXPathNameSpace(NS_EMPLOYMENT, NS_EMPLOYMENT_URL);
}
public Author parseSummary(final String xml) {
@ -75,15 +70,13 @@ public class OrcidParser {
generateParsedDocument(xml);
List<VtdUtilityParser.Node> recordNodes = VtdUtilityParser
.getTextValuesWithAttributes(
ap, vn, "//record:record", Collections.singletonList("path"));
ap, vn, "//record:record", Arrays.asList("path"));
if (!recordNodes.isEmpty()) {
final String oid = (recordNodes.get(0).getAttributes().get("path")).substring(1);
author.setOrcid(oid);
} else {
return null;
}
final String ltm = VtdUtilityParser.getSingleValue(ap, vn, "//common:last-modified-date");
author.setLastModifiedDate(ltm);
List<VtdUtilityParser.Node> personNodes = VtdUtilityParser
.getTextValuesWithAttributes(
ap, vn, "//person:name", Arrays.asList("visibility"));
@ -136,64 +129,6 @@ public class OrcidParser {
}
}
public List<Work> parseWorks(final String xml) {
try {
String oid;
generateParsedDocument(xml);
List<VtdUtilityParser.Node> workNodes = VtdUtilityParser
.getTextValuesWithAttributes(ap, vn, "//activities:works", Arrays.asList("path", "visibility"));
if (!workNodes.isEmpty()) {
oid = (workNodes.get(0).getAttributes().get("path")).split("/")[1];
} else {
return null;
}
final List<Work> works = new ArrayList<>();
ap.selectXPath("//work:work-summary");
while (ap.evalXPath() != -1) {
final Work work = new Work();
work.setOrcid(oid);
final AutoPilot ap1 = new AutoPilot(ap.getNav());
ap1.selectXPath("./work:title/common:title");
while (ap1.evalXPath() != -1) {
int it = vn.getText();
work.setTitle(vn.toNormalizedString(it));
}
ap1.selectXPath(".//common:external-id");
while (ap1.evalXPath() != -1) {
final Pid pid = new Pid();
final AutoPilot ap2 = new AutoPilot(ap1.getNav());
ap2.selectXPath("./common:external-id-type");
while (ap2.evalXPath() != -1) {
int it = vn.getText();
pid.setSchema(vn.toNormalizedString(it));
}
ap2.selectXPath("./common:external-id-value");
while (ap2.evalXPath() != -1) {
int it = vn.getText();
pid.setValue(vn.toNormalizedString(it));
}
work.addPid(pid);
}
works.add(work);
}
return works;
} catch (Throwable e) {
log.error("Error on parsing {}", xml);
log.error(e.getMessage());
return null;
}
}
public Work parseWork(final String xml) {
try {
@ -241,15 +176,11 @@ public class OrcidParser {
}
private String extractEmploymentDate(final String xpath) throws Exception {
return extractEmploymentDate(xpath, ap);
}
private String extractEmploymentDate(final String xpath, AutoPilot pp) throws Exception {
pp.selectXPath(xpath);
ap.selectXPath(xpath);
StringBuilder sb = new StringBuilder();
while (pp.evalXPath() != -1) {
final AutoPilot ap1 = new AutoPilot(pp.getNav());
while (ap.evalXPath() != -1) {
final AutoPilot ap1 = new AutoPilot(ap.getNav());
ap1.selectXPath("./common:year");
while (ap1.evalXPath() != -1) {
int it = vn.getText();
@ -272,104 +203,6 @@ public class OrcidParser {
}
public List<Employment> parseEmployments(final String xml) {
try {
String oid;
Map<String, String> nsContext = getNameSpaceMap();
DocumentFactory.getInstance().setXPathNamespaceURIs(nsContext);
Document doc = DocumentHelper.parseText(xml);
oid = doc.valueOf("//activities:employments/@path");
if (oid == null || StringUtils.isEmpty(oid))
return null;
final String orcid = oid.split("/")[1];
List<Node> nodes = doc.selectNodes("//employment:employment-summary");
return nodes.stream().map(n -> {
final Employment e = new Employment();
e.setOrcid(orcid);
final String depName = n.valueOf(".//common:department-name");
if (StringUtils.isNotBlank(depName))
e.setDepartmentName(depName);
final String roleTitle = n.valueOf(".//common:role-title");
e.setRoleTitle(roleTitle);
final String organizationName = n.valueOf(".//common:organization/common:name");
if (StringUtils.isEmpty(e.getDepartmentName()))
e.setDepartmentName(organizationName);
final Pid p = new Pid();
final String pid = n
.valueOf(
"./common:organization/common:disambiguated-organization/common:disambiguated-organization-identifier");
p.setValue(pid);
final String pidType = n
.valueOf("./common:organization/common:disambiguated-organization/common:disambiguation-source");
p.setSchema(pidType);
e.setAffiliationId(p);
final StringBuilder aDate = new StringBuilder();
final String sy = n.valueOf("./common:start-date/common:year");
if (StringUtils.isNotBlank(sy)) {
aDate.append(sy);
final String sm = n.valueOf("./common:start-date/common:month");
final String sd = n.valueOf("./common:start-date/common:day");
aDate.append("-");
if (StringUtils.isNotBlank(sm))
aDate.append(sm);
else
aDate.append("01");
aDate.append("-");
if (StringUtils.isNotBlank(sd))
aDate.append(sd);
else
aDate.append("01");
e.setEndDate(aDate.toString());
}
final String ey = n.valueOf("./common:end-date/common:year");
if (StringUtils.isNotBlank(ey)) {
aDate.append(ey);
final String em = n.valueOf("./common:end-date/common:month");
final String ed = n.valueOf("./common:end-date/common:day");
aDate.append("-");
if (StringUtils.isNotBlank(em))
aDate.append(em);
else
aDate.append("01");
aDate.append("-");
if (StringUtils.isNotBlank(ed))
aDate.append(ed);
else
aDate.append("01");
e.setEndDate(aDate.toString());
}
return e;
}).collect(Collectors.toList());
} catch (Throwable e) {
log.error("Error on parsing {}", xml);
log.error(e.getMessage());
return null;
}
}
@NotNull
private static Map<String, String> getNameSpaceMap() {
Map<String, String> nsContext = new HashMap<>();
nsContext.put(NS_COMMON, NS_COMMON_URL);
nsContext.put(NS_PERSON, NS_PERSON_URL);
nsContext.put(NS_DETAILS, NS_DETAILS_URL);
nsContext.put(NS_OTHER, NS_OTHER_URL);
nsContext.put(NS_RECORD, NS_RECORD_URL);
nsContext.put(NS_ERROR, NS_ERROR_URL);
nsContext.put(NS_HISTORY, NS_HISTORY_URL);
nsContext.put(NS_WORK, NS_WORK_URL);
nsContext.put(NS_EXTERNAL, NS_EXTERNAL_URL);
nsContext.put(NS_ACTIVITIES, NS_ACTIVITIES_URL);
nsContext.put(NS_EMPLOYMENT, NS_EMPLOYMENT_URL);
return nsContext;
}
public Employment parseEmployment(final String xml) {
try {
final Employment employment = new Employment();

View File

@ -18,8 +18,6 @@ public class Author extends ORCIDItem {
private String biography;
private String lastModifiedDate;
public String getBiography() {
return biography;
}
@ -76,14 +74,6 @@ public class Author extends ORCIDItem {
this.otherPids = otherPids;
}
public String getLastModifiedDate() {
return lastModifiedDate;
}
public void setLastModifiedDate(String lastModifiedDate) {
this.lastModifiedDate = lastModifiedDate;
}
public void addOtherPid(final Pid pid) {
if (otherPids == null)

View File

@ -52,6 +52,8 @@ public class RestIterator implements Iterator<String> {
private final String BASIC = "basic";
private final JsonUtils jsonUtils;
private final String baseUrl;
private final String resumptionType;
private final String resumptionParam;
@ -104,6 +106,7 @@ public class RestIterator implements Iterator<String> {
final String resultOutputFormat) {
this.clientParams = clientParams;
this.jsonUtils = new JsonUtils();
this.baseUrl = baseUrl;
this.resumptionType = resumptionType;
this.resumptionParam = resumptionParam;
@ -123,7 +126,6 @@ public class RestIterator implements Iterator<String> {
} catch (Exception e) {
throw new IllegalStateException("xml transformation init failed: " + e.getMessage());
}
initQueue();
}
@ -188,7 +190,7 @@ public class RestIterator implements Iterator<String> {
String resultJson;
String resultXml = "<?xml version=\"1.0\" encoding=\"UTF-8\"?>";
String nextQuery = "";
String emptyXml = resultXml + "<" + JsonUtils.XML_WRAP_TAG + "></" + JsonUtils.XML_WRAP_TAG + ">";
String emptyXml = resultXml + "<" + JsonUtils.wrapName + "></" + JsonUtils.wrapName + ">";
Node resultNode = null;
NodeList nodeList = null;
String qUrlArgument = "";
@ -229,7 +231,7 @@ public class RestIterator implements Iterator<String> {
resultStream = theHttpInputStream;
if ("json".equals(resultOutputFormat)) {
resultJson = IOUtils.toString(resultStream, StandardCharsets.UTF_8);
resultXml = JsonUtils.convertToXML(resultJson);
resultXml = jsonUtils.convertToXML(resultJson);
resultStream = IOUtils.toInputStream(resultXml, UTF_8);
}

View File

@ -3,142 +3,82 @@ package eu.dnetlib.dhp.collection.plugin.utils;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.json.JSONArray;
import org.json.JSONObject;
public class JsonUtils {
public static final String XML_WRAP_TAG = "recordWrap";
private static final String XML_HEADER = "<?xml version=\"1.0\" encoding=\"UTF-8\"?>";
private static final String INVALID_XMLTAG_CHARS = "!\"#$%&'()*+,/;<=>?@[\\]^`{|}~,";
private static final Log log = LogFactory.getLog(JsonUtils.class);
public static final String wrapName = "recordWrap";
/**
* cleanup in JSON-KeyName
* convert in JSON-KeyName 'whitespace(s)' to '_' and '/' to '_', '(' and ')' to ''
* check W3C XML syntax: https://www.w3.org/TR/2006/REC-xml11-20060816/#sec-starttags for valid tag names
* and work-around for the JSON to XML converting of org.json.XML-package.
*
* @param input
* @return converted json object
* known bugs: doesn't prevent "key name":" ["sexy name",": penari","erotic dance"],
*
* @param jsonInput
* @return convertedJsonKeynameOutput
*/
public static JSONObject cleanJsonObject(final JSONObject input) {
if (null == input) {
return null;
public String syntaxConvertJsonKeyNames(String jsonInput) {
log.trace("before convertJsonKeyNames: " + jsonInput);
// pre-clean json - rid spaces of element names (misinterpreted as elements with attributes in xml)
// replace ' 's in JSON Namens with '_'
while (jsonInput.matches(".*\"([^\"]*)\\s+([^\"]*)\":.*")) {
jsonInput = jsonInput.replaceAll("\"([^\"]*)\\s+([^\"]*)\":", "\"$1_$2\":");
}
JSONObject result = new JSONObject();
for (String key : input.keySet()) {
Object value = input.opt(key);
if (value != null) {
result.put(cleanKey(key), cleanValue(value));
}
// replace forward-slash (sign '/' ) in JSON Names with '_'
while (jsonInput.matches(".*\"([^\"]*)/([^\"]*)\":.*")) {
jsonInput = jsonInput.replaceAll("\"([^\"]*)/([^\"]*)\":", "\"$1_$2\":");
}
return result;
// replace '(' in JSON Names with ''
while (jsonInput.matches(".*\"([^\"]*)[(]([^\"]*)\":.*")) {
jsonInput = jsonInput.replaceAll("\"([^\"]*)[(]([^\"]*)\":", "\"$1$2\":");
}
// replace ')' in JSON Names with ''
while (jsonInput.matches(".*\"([^\"]*)[)]([^\"]*)\":.*")) {
jsonInput = jsonInput.replaceAll("\"([^\"]*)[)]([^\"]*)\":", "\"$1$2\":");
}
// add prefix of startNumbers in JSON Keynames with 'n_'
while (jsonInput.matches(".*\"([^\"][0-9])([^\"]*)\":.*")) {
jsonInput = jsonInput.replaceAll("\"([^\"][0-9])([^\"]*)\":", "\"n_$1$2\":");
}
// add prefix of only numbers in JSON Keynames with 'm_'
while (jsonInput.matches(".*\"([0-9]+)\":.*")) {
jsonInput = jsonInput.replaceAll("\"([0-9]+)\":", "\"m_$1\":");
}
// replace ':' between number like '2018-08-28T11:05:00Z' in JSON keynames with ''
while (jsonInput.matches(".*\"([^\"]*[0-9]):([0-9][^\"]*)\":.*")) {
jsonInput = jsonInput.replaceAll("\"([^\"]*[0-9]):([0-9][^\"]*)\":", "\"$1$2\":");
}
// replace ',' in JSON Keynames with '.' to prevent , in xml tagnames.
// while (jsonInput.matches(".*\"([^\"]*),([^\"]*)\":.*")) {
// jsonInput = jsonInput.replaceAll("\"([^\"]*),([^\"]*)\":", "\"$1.$2\":");
// }
// replace '=' in JSON Keynames with '-'
while (jsonInput.matches(".*\"([^\"]*)=([^\"]*)\":.*")) {
jsonInput = jsonInput.replaceAll("\"([^\"]*)=([^\"]*)\":", "\"$1-$2\":");
}
log.trace("after syntaxConvertJsonKeyNames: " + jsonInput);
return jsonInput;
}
private static Object cleanValue(Object object) {
if (object instanceof JSONObject) {
return cleanJsonObject((JSONObject) object);
} else if (object instanceof JSONArray) {
JSONArray array = (JSONArray) object;
JSONArray res = new JSONArray();
for (int i = array.length() - 1; i >= 0; i--) {
res.put(i, cleanValue(array.opt(i)));
}
return res;
} else if (object instanceof String) {
String value = (String) object;
// XML 1.0 Allowed characters
// Char ::= #x9 | #xA | #xD | [#x20-#xD7FF] | [#xE000-#xFFFD] | [#x10000-#x10FFFF]
return value
.codePoints()
.filter(
cp -> cp == 0x9 || cp == 0xA || cp == 0xD || (cp >= 0x20 && cp <= 0xD7FF)
|| (cp >= 0xE000 && cp <= 0xFFFD)
|| (cp >= 0x10000 && cp <= 0x10FFFF))
.collect(
StringBuilder::new,
StringBuilder::appendCodePoint,
StringBuilder::append)
.toString();
}
return object;
}
private static String cleanKey(String key) {
if (key == null || key.isEmpty()) {
return key;
}
// xml tag cannot begin with "-", ".", or a numeric digit.
switch (key.charAt(0)) {
case '-':
case '.':
key = "_" + key.substring(1);
break;
}
if (Character.isDigit(key.charAt(0))) {
if (key.matches("^[0-9]+$")) {
// add prefix of only numbers in JSON Keynames with 'm_'
key = "m_" + key;
} else {
// add prefix of startNumbers in JSON Keynames with 'n_'
key = "n_" + key;
}
}
StringBuilder res = new StringBuilder(key.length());
for (int i = 0; i < key.length(); i++) {
char c = key.charAt(i);
// sequence of whitespaces are rendered as a single '_'
if (Character.isWhitespace(c)) {
while (i + 1 < key.length() && Character.isWhitespace(key.charAt(i + 1))) {
i++;
}
res.append('_');
}
// remove invalid chars for xml tags with the expception of '=' and '/'
else if (INVALID_XMLTAG_CHARS.indexOf(c) >= 0) {
switch (c) {
case '=':
res.append('-');
break;
case '/':
res.append('_');
break;
default:
break;
}
// nothing
}
// all other chars are kept
else {
res.append(c);
}
}
return res.toString();
}
static public String convertToXML(final String jsonRecord) {
if (log.isTraceEnabled()) {
log.trace("input json: " + jsonRecord);
}
JSONObject jsonObject = cleanJsonObject(new org.json.JSONObject(jsonRecord));
String res = XML_HEADER + org.json.XML.toString(jsonObject, XML_WRAP_TAG); // wrap xml in single root element
if (log.isTraceEnabled()) {
log.trace("outout xml: " + res);
}
return res;
public String convertToXML(final String jsonRecord) {
String resultXml = "<?xml version=\"1.0\" encoding=\"UTF-8\"?>";
org.json.JSONObject jsonObject = new org.json.JSONObject(syntaxConvertJsonKeyNames(jsonRecord));
resultXml += org.json.XML.toString(jsonObject, wrapName); // wrap xml in single root element
log.trace("before inputStream: " + resultXml);
resultXml = XmlCleaner.cleanAllEntities(resultXml);
log.trace("after cleaning: " + resultXml);
return resultXml;
}
}

View File

@ -48,7 +48,7 @@ public class XSLTTransformationFunction implements MapFunction<MetadataRecord, M
@Override
public MetadataRecord call(MetadataRecord value) {
aggregationCounter.getTotalItems().add(1);
try {
Processor processor = new Processor(false);
processor.registerExtensionFunction(cleanFunction);
@ -60,18 +60,11 @@ public class XSLTTransformationFunction implements MapFunction<MetadataRecord, M
comp.setParameter(datasourceIDParam, new XdmAtomicValue(value.getProvenance().getDatasourceId()));
QName datasourceNameParam = new QName(DATASOURCE_NAME_PARAM);
comp.setParameter(datasourceNameParam, new XdmAtomicValue(value.getProvenance().getDatasourceName()));
XsltExecutable xslt;
XdmNode source;
try {
xslt = comp
.compile(new StreamSource(IOUtils.toInputStream(transformationRule, StandardCharsets.UTF_8)));
source = processor
.newDocumentBuilder()
.build(new StreamSource(IOUtils.toInputStream(value.getBody(), StandardCharsets.UTF_8)));
} catch (Throwable e) {
throw new RuntimeException("Error on parsing xslt", e);
}
try {
XsltExecutable xslt = comp
.compile(new StreamSource(IOUtils.toInputStream(transformationRule, StandardCharsets.UTF_8)));
XdmNode source = processor
.newDocumentBuilder()
.build(new StreamSource(IOUtils.toInputStream(value.getBody(), StandardCharsets.UTF_8)));
XsltTransformer trans = xslt.load();
trans.setInitialContextNode(source);
final StringWriter output = new StringWriter();

View File

@ -17,12 +17,6 @@
"paramDescription": "the path to get the input data from Pubmed",
"paramRequired": true
},
{
"paramName": "oip",
"paramLongName": "openapcInputPath",
"paramDescription": "the path to get the input data from OpenAPC",
"paramRequired": true
},
{
"paramName": "o",
"paramLongName": "outputPath",

View File

@ -31,7 +31,6 @@ spark2SqlQueryExecutionListeners=com.cloudera.spark.lineage.NavigatorQueryListen
# The following is needed as a property of a workflow
oozie.wf.application.path=${oozieTopWfApplicationPath}
crossrefInputPath=/data/bip-affiliations/crossref-data.json
crossrefInputPath=/data/bip-affiliations/data.json
pubmedInputPath=/data/bip-affiliations/pubmed-data.json
openapcInputPath=/data/bip-affiliations/openapc-data.json
outputPath=/tmp/crossref-affiliations-output-v5

View File

@ -9,10 +9,6 @@
<name>pubmedInputPath</name>
<description>the path where to find the inferred affiliation relations from Pubmed</description>
</property>
<property>
<name>openapcInputPath</name>
<description>the path where to find the inferred affiliation relations from OpenAPC</description>
</property>
<property>
<name>outputPath</name>
<description>the path where to store the actionset</description>
@ -106,7 +102,6 @@
</spark-opts>
<arg>--crossrefInputPath</arg><arg>${crossrefInputPath}</arg>
<arg>--pubmedInputPath</arg><arg>${pubmedInputPath}</arg>
<arg>--openapcInputPath</arg><arg>${openapcInputPath}</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
</spark>
<ok to="End"/>

View File

@ -16,10 +16,5 @@
"paramLongName": "outputPath",
"paramDescription": "the path of the new ActionSet",
"paramRequired": true
}, {
"paramName": "fd",
"paramLongName": "distributeDoi",
"paramDescription": "the path of the new ActionSet",
"paramRequired": false
}
}
]

View File

@ -1,20 +0,0 @@
[
{
"paramName": "sp",
"paramLongName": "sourcePath",
"paramDescription": "the zipped opencitations file",
"paramRequired": true
},
{
"paramName": "op",
"paramLongName": "outputPath",
"paramDescription": "the working path",
"paramRequired": true
},
{
"paramName": "issm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "the hdfs name node",
"paramRequired": false
}
]

View File

@ -1,30 +0,0 @@
<configuration>
<property>
<name>jobTracker</name>
<value>yarnRM</value>
</property>
<property>
<name>nameNode</name>
<value>hdfs://nameservice1</value>
</property>
<property>
<name>oozie.use.system.libpath</name>
<value>true</value>
</property>
<property>
<name>hiveMetastoreUris</name>
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
</property>
<property>
<name>hiveJdbcUrl</name>
<value>jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000</value>
</property>
<property>
<name>hiveDbName</name>
<value>openaire</value>
</property>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>

View File

@ -1,153 +0,0 @@
<workflow-app name="FOS no doi" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>fosPath</name>
<description>the input path of the resources to be extended</description>
</property>
<property>
<name>outputPath</name>
<description>the path where to store the actionset</description>
</property>
<property>
<name>sparkDriverMemory</name>
<description>memory for driver process</description>
</property>
<property>
<name>sparkExecutorMemory</name>
<description>memory for individual executor</description>
</property>
<property>
<name>sparkExecutorCores</name>
<description>number of cores used by single executor</description>
</property>
<property>
<name>oozieActionShareLibForSpark2</name>
<description>oozie action sharelib for spark 2.*</description>
</property>
<property>
<name>spark2ExtraListeners</name>
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
<description>spark 2.* extra listeners classname</description>
</property>
<property>
<name>spark2SqlQueryExecutionListeners</name>
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
<description>spark 2.* sql query execution listeners classname</description>
</property>
<property>
<name>spark2YarnHistoryServerAddress</name>
<description>spark 2.* yarn history server address</description>
</property>
<property>
<name>spark2EventLogDir</name>
<description>spark 2.* event log dir location</description>
</property>
</parameters>
<global>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapreduce.job.queuename</name>
<value>${queueName}</value>
</property>
<property>
<name>oozie.launcher.mapred.job.queue.name</name>
<value>${oozieLauncherQueueName}</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="getFOS"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="getFOS">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Gets Data from FOS csv file</name>
<class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.GetFOSSparkJob</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${fosPath}</arg>
<arg>--outputPath</arg><arg>${workingDir}/input/fos</arg>
<arg>--delimiter</arg><arg>${delimiter}</arg>
</spark>
<ok to="prepareFos"/>
<error to="Kill"/>
</action>
<action name="prepareFos">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Produces the results from FOS</name>
<class>eu.dnetlib.dhp.actionmanager.createunresolvedentities.PrepareFOSSparkJob</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/input/fos</arg>
<arg>--outputPath</arg><arg>${workingDir}/prepared</arg>
<arg>--distributeDoi</arg><arg>false</arg>
</spark>
<ok to="produceActionSet"/>
<error to="Kill"/>
</action>
<action name="produceActionSet">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Save the action set grouping results with the same id</name>
<class>eu.dnetlib.dhp.actionmanager.fosnodoi.CreateActionSetSparkJob</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/prepared/fos</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -1,13 +1,13 @@
[
{
"paramName": "ip",
"paramLongName": "inputPath",
"paramName": "if",
"paramLongName": "inputFile",
"paramDescription": "the zipped opencitations file",
"paramRequired": true
},
{
"paramName": "op",
"paramLongName": "outputPath",
"paramName": "wp",
"paramLongName": "workingPath",
"paramDescription": "the working path",
"paramRequired": true
},
@ -16,5 +16,11 @@
"paramLongName": "hdfsNameNode",
"paramDescription": "the hdfs name node",
"paramRequired": true
},
{
"paramName": "p",
"paramLongName": "prefix",
"paramDescription": "COCI or POCI",
"paramRequired": true
}
]

View File

@ -1,7 +1,7 @@
[
{
"paramName": "ip",
"paramLongName": "inputPath",
"paramName": "wp",
"paramLongName": "workingPath",
"paramDescription": "the zipped opencitations file",
"paramRequired": true
},
@ -24,9 +24,15 @@
"paramLongName": "outputPath",
"paramDescription": "the hdfs name node",
"paramRequired": true
}, {
"paramName": "nn",
"paramLongName": "hdfsNameNode",
},
{
"paramName": "if",
"paramLongName": "inputFile",
"paramDescription": "the hdfs name node",
"paramRequired": true
}, {
"paramName": "f",
"paramLongName": "format",
"paramDescription": "the hdfs name node",
"paramRequired": true
}

View File

@ -27,9 +27,7 @@
<case to="download">${wf:conf('resumeFrom') eq 'DownloadDump'}</case>
<case to="extract">${wf:conf('resumeFrom') eq 'ExtractContent'}</case>
<case to="read">${wf:conf('resumeFrom') eq 'ReadContent'}</case>
<case to="remap">${wf:conf('resumeFrom') eq 'MapContent'}</case>
<case to="create_actionset">${wf:conf('resumeFrom') eq 'CreateAS'}</case>
<default to="deleteoutputpath"/> <!-- first action to be done when downloadDump is to be performed -->
<default to="create_actionset"/> <!-- first action to be done when downloadDump is to be performed -->
</switch>
</decision>
@ -37,15 +35,6 @@
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="deleteoutputpath">
<fs>
<delete path='${inputPath}'/>
<mkdir path='${inputPath}'/>
</fs>
<ok to="download"/>
<error to="Kill"/>
</action>
<action name="download">
<shell xmlns="uri:oozie:shell-action:0.2">
<job-tracker>${jobTracker}</job-tracker>
@ -58,28 +47,7 @@
</configuration>
<exec>download.sh</exec>
<argument>${filelist}</argument>
<argument>${inputPath}/Original</argument>
<env-var>HADOOP_USER_NAME=${wf:user()}</env-var>
<file>download.sh</file>
<capture-output/>
</shell>
<ok to="download_correspondence"/>
<error to="Kill"/>
</action>
<!-- downloads the correspondence from the omid and the pid (doi, pmid etc)-->
<action name="download_correspondence">
<shell xmlns="uri:oozie:shell-action:0.2">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapred.job.queue.name</name>
<value>${queueName}</value>
</property>
</configuration>
<exec>download_corr.sh</exec>
<argument>${filecorrespondence}</argument>
<argument>${inputPath}/correspondence</argument>
<argument>${workingPath}/${prefix}/Original</argument>
<env-var>HADOOP_USER_NAME=${wf:user()}</env-var>
<file>download.sh</file>
<capture-output/>
@ -92,19 +60,9 @@
<java>
<main-class>eu.dnetlib.dhp.actionmanager.opencitations.GetOpenCitationsRefs</main-class>
<arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
<arg>--inputPath</arg><arg>${inputPath}/Original</arg>
<arg>--outputPath</arg><arg>${inputPath}/Extracted</arg>
</java>
<ok to="read"/>
<error to="Kill"/>
</action>
<action name="extract_correspondence">
<java>
<main-class>eu.dnetlib.dhp.actionmanager.opencitations.GetOpenCitationsRefs</main-class>
<arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
<arg>--inputPath</arg><arg>${inputPath}/correspondence</arg>
<arg>--outputPath</arg><arg>${inputPath}/correspondence_extracted</arg>
<arg>--inputFile</arg><arg>${inputFile}</arg>
<arg>--workingPath</arg><arg>${workingPath}/${prefix}</arg>
<arg>--prefix</arg><arg>${prefix}</arg>
</java>
<ok to="read"/>
<error to="Kill"/>
@ -127,35 +85,11 @@
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--inputPath</arg><arg>${inputPath}/Extracted</arg>
<arg>--outputPath</arg><arg>${inputPath}/JSON</arg>
<arg>--workingPath</arg><arg>${workingPath}/${prefix}/${prefix}</arg>
<arg>--outputPath</arg><arg>${workingPath}/${prefix}/${prefix}_JSON/</arg>
<arg>--delimiter</arg><arg>${delimiter}</arg>
<arg>--hdfsNameNode</arg><arg>${nameNode}</arg>
</spark>
<ok to="remap"/>
<error to="Kill"/>
</action>
<action name="remap">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Produces the AS for OC</name>
<class>eu.dnetlib.dhp.actionmanager.opencitations.MapOCIdsInPids</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--inputPath</arg><arg>${inputPath}</arg>
<arg>--outputPath</arg><arg>${outputPathExtraction}</arg>
<arg>--nameNode</arg><arg>${nameNode}</arg>
<arg>--inputFile</arg><arg>${inputFileCoci}</arg>
<arg>--format</arg><arg>${prefix}</arg>
</spark>
<ok to="create_actionset"/>
<error to="Kill"/>
@ -178,7 +112,7 @@
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--inputPath</arg><arg>${outputPathExtraction}</arg>
<arg>--inputPath</arg><arg>${workingPath}</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
</spark>
<ok to="End"/>

View File

@ -1,25 +0,0 @@
[
{
"paramName": "ip",
"paramLongName": "inputPath",
"paramDescription": "the zipped opencitations file",
"paramRequired": true
},
{
"paramName": "op",
"paramLongName": "outputPath",
"paramDescription": "the working path",
"paramRequired": true
},
{
"paramName": "issm",
"paramLongName": "isSparkSessionManged",
"paramDescription": "the hdfs name node",
"paramRequired": false
},{
"paramName": "nn",
"paramLongName": "nameNode",
"paramDescription": "the hdfs name node",
"paramRequired": true
}
]

View File

@ -1,20 +0,0 @@
[
{
"paramName": "ip",
"paramLongName": "inputPath",
"paramDescription": "the zipped opencitations file",
"paramRequired": true
},
{
"paramName": "op",
"paramLongName": "outputPath",
"paramDescription": "the working path",
"paramRequired": true
},
{
"paramName": "issm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "the hdfs name node",
"paramRequired": false
}
]

View File

@ -1,30 +0,0 @@
[
{
"paramName": "issm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "the hdfs name node",
"paramRequired": false
},
{
"paramName": "d",
"paramLongName": "delimiter",
"paramDescription": "the hdfs name node",
"paramRequired": false
},
{
"paramName": "op",
"paramLongName": "outputPath",
"paramDescription": "the hdfs name node",
"paramRequired": true
},
{
"paramName": "if",
"paramLongName": "inputFile",
"paramDescription": "the hdfs name node",
"paramRequired": true
}
]

View File

@ -1,58 +0,0 @@
<configuration>
<property>
<name>jobTracker</name>
<value>yarnRM</value>
</property>
<property>
<name>nameNode</name>
<value>hdfs://nameservice1</value>
</property>
<property>
<name>oozie.use.system.libpath</name>
<value>true</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>spark2</value>
</property>
<property>
<name>hive_metastore_uris</name>
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
</property>
<property>
<name>spark2YarnHistoryServerAddress</name>
<value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089</value>
</property>
<property>
<name>spark2ExtraListeners</name>
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
</property>
<property>
<name>spark2SqlQueryExecutionListeners</name>
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
</property>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
<property>
<name>sparkExecutorNumber</name>
<value>4</value>
</property>
<property>
<name>spark2EventLogDir</name>
<value>/user/spark/spark2ApplicationHistory</value>
</property>
<property>
<name>sparkDriverMemory</name>
<value>15G</value>
</property>
<property>
<name>sparkExecutorMemory</name>
<value>6G</value>
</property>
<property>
<name>sparkExecutorCores</name>
<value>1</value>
</property>
</configuration>

View File

@ -1,82 +0,0 @@
<workflow-app name="Transfomative Agreement Integration" xmlns="uri:oozie:workflow:0.5">
<global>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapreduce.job.queuename</name>
<value>${queueName}</value>
</property>
<property>
<name>oozie.launcher.mapred.job.queue.name</name>
<value>${oozieLauncherQueueName}</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="resume_from"/>
<decision name="resume_from">
<switch>
<case to="download">${wf:conf('resumeFrom') eq 'DownloadDump'}</case>
<default to="create_actionset"/> <!-- first action to be done when downloadDump is to be performed -->
</switch>
</decision>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="download">
<shell xmlns="uri:oozie:shell-action:0.2">
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapred.job.queue.name</name>
<value>${queueName}</value>
</property>
</configuration>
<exec>download.sh</exec>
<argument>${inputFile}</argument>
<argument>${workingDir}/transformativeagreement/transformativeAgreement.json</argument>
<env-var>HADOOP_USER_NAME=${wf:user()}</env-var>
<file>download.sh</file>
<capture-output/>
</shell>
<ok to="create_actionset"/>
<error to="Kill"/>
</action>
<action name="create_actionset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Produces the AS for the Transformative Agreement</name>
<class>eu.dnetlib.dhp.actionmanager.transformativeagreement.CreateActionSetSparkJob</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--inputPath</arg><arg>${workingDir}/transformativeagreement/</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -1,26 +0,0 @@
[
{
"paramName": "m",
"paramLongName": "master",
"paramDescription": "the master name",
"paramRequired": true
},
{
"paramName": "t",
"paramLongName": "targetPath",
"paramDescription": "the target PATH of the DF tables",
"paramRequired": true
},
{
"paramName": "g",
"paramLongName": "graphPath",
"paramDescription": "the PATH of the current graph path",
"paramRequired": true
},
{
"paramName": "u",
"paramLongName": "updatePath",
"paramDescription": "the PATH of the current graph update path",
"paramRequired": true
}
]

View File

@ -1,37 +0,0 @@
[ {
"paramName": "n",
"paramLongName": "namenode",
"paramDescription": "the Name Node URI",
"paramRequired": true
},
{
"paramName": "m",
"paramLongName": "master",
"paramDescription": "the master name",
"paramRequired": true
},
{
"paramName": "t",
"paramLongName": "targetPath",
"paramDescription": "the target PATH where download the files",
"paramRequired": true
},
{
"paramName": "a",
"paramLongName": "apiURL",
"paramDescription": "the URL to download the tar file",
"paramRequired": true
},
{
"paramName": "g",
"paramLongName": "graphPath",
"paramDescription": "the path of the input graph",
"paramRequired": true
},
{
"paramName": "at",
"paramLongName": "accessToken",
"paramDescription": "the accessToken to contact API",
"paramRequired": true
}
]

View File

@ -16,12 +16,6 @@
"paramLongName": "sourcePath",
"paramDescription": "the PATH of the ORCID sequence file",
"paramRequired": true
},
{
"paramName": "fu",
"paramLongName": "fromUpdate",
"paramDescription": "whether we have to generate table from dump or from update",
"paramRequired": false
}
]

View File

@ -1,23 +0,0 @@
<configuration>
<property>
<name>jobTracker</name>
<value>yarnRM</value>
</property>
<property>
<name>nameNode</name>
<value>hdfs://nameservice1</value>
</property>
<property>
<name>oozie.use.system.libpath</name>
<value>true</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>spark2</value>
</property>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>

View File

@ -1,114 +0,0 @@
<workflow-app name="download_Update_ORCID" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>graphPath</name>
<description>the path to store the original ORCID dump</description>
</property>
<property>
<name>targetPath</name>
<description>the path to store the original ORCID dump</description>
</property>
<property>
<name>apiURL</name>
<value>http://74804fb637bd8e2fba5b-e0a029c2f87486cddec3b416996a6057.r3.cf1.rackcdn.com/last_modified.csv.tar</value>
<description>The URL of the update CSV list </description>
</property>
<property>
<name>accessToken</name>
<description>The access token</description>
</property>
</parameters>
<start to="startUpdate"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="startUpdate">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Check Latest Orcid and Download updates</name>
<class>eu.dnetlib.dhp.collection.orcid.OrcidGetUpdatesFile</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=2g
--conf spark.sql.shuffle.partitions=3000
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts>
<arg>--master</arg><arg>yarn</arg>
<arg>--namenode</arg><arg>${nameNode}</arg>
<arg>--graphPath</arg><arg>${graphPath}</arg>
<arg>--targetPath</arg><arg>${targetPath}</arg>
<arg>--apiURL</arg><arg>${apiURL}</arg>
<arg>--accessToken</arg><arg>${accessToken}</arg>
</spark>
<ok to="generateTables"/>
<error to="Kill"/>
</action>
<action name="generateTables">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Generate ORCID Tables</name>
<class>eu.dnetlib.dhp.collection.orcid.SparkGenerateORCIDTable</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=2g
--conf spark.sql.shuffle.partitions=3000
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${targetPath}</arg>
<arg>--targetPath</arg><arg>${targetPath}/updateTable</arg>
<arg>--fromUpdate</arg><arg>true</arg>
<arg>--master</arg><arg>yarn</arg>
</spark>
<ok to="updateTable"/>
<error to="Kill"/>
</action>
<action name="updateTable">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Update ORCID Tables</name>
<class>eu.dnetlib.dhp.collection.orcid.SparkApplyUpdate</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.executor.memoryOverhead=2g
--conf spark.sql.shuffle.partitions=3000
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts>
<arg>--graphPath</arg><arg>${graphPath}</arg>
<arg>--updatePath</arg><arg>${targetPath}/updateTable</arg>
<arg>--targetPath</arg><arg>${targetPath}/newTable</arg>
<arg>--master</arg><arg>yarn</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -108,7 +108,7 @@ INSERT INTO dsm_apiparams(
'api_________::openaire____::base_search::dump@@acceptedNormTypes',
'api_________::openaire____::base_search::dump',
'acceptedNormTypes',
'1,11,111,121,14,15,18,181,182,183,1A,6,7'
'1,11,111,121,13,14,15,18,181,182,183,1A,6,7'
);
COMMIT;

View File

@ -59,13 +59,16 @@ base_dc:global_id (I used oai:identifier)
base_dc:collection/text()
base_dc:continent
base_dc:country
base_dc:year (I used dc:date)
dc:coverage
dc:language (I used base_dc:lang)
base_dc:link (I used dc:identifier)
-->
<xsl:variable name="varBaseNormType" select="vocabulary:clean(//base_dc:typenorm, 'base:normalized_types')" />
<metadata>
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:title" />
@ -108,13 +111,9 @@ base_dc:link (I used dc:identifier)
<xsl:with-param name="targetElement" select="'dc:format'" />
</xsl:call-template>
<xsl:for-each select="//base_dc:typenorm">
<dc:type>
<xsl:value-of select="vocabulary:clean(., 'base:normalized_types')" />
</dc:type>
</xsl:for-each>
<dc:type>
<xsl:value-of select="$varBaseNormType" />
</dc:type>
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:type" />
<xsl:with-param name="targetElement" select="'dc:type'" />
@ -162,150 +161,16 @@ base_dc:link (I used dc:identifier)
</xsl:if>
</xsl:for-each>
<xsl:choose>
<!-- I used an inline mapping because the field typenorm could be repeated and I have to specify a list of priority -->
<!-- Book part -->
<xsl:when test="//base_dc:typenorm = '111'">
<dr:CobjCategory type="publication">0013</dr:CobjCategory>
</xsl:when>
<!-- Book -->
<xsl:when test="//base_dc:typenorm = '11'">
<dr:CobjCategory type="publication">0002</dr:CobjCategory>
</xsl:when>
<!-- Article contribution -->
<xsl:when test="//base_dc:typenorm = '121'">
<dr:CobjCategory type="publication">0001</dr:CobjCategory>
</xsl:when>
<!-- Journal/Newspaper -->
<xsl:when test="//base_dc:typenorm = '12'">
<dr:CobjCategory type="publication">0043</dr:CobjCategory>
</xsl:when>
<!-- Report -->
<xsl:when test="//base_dc:typenorm = '14'">
<dr:CobjCategory type="publication">0017</dr:CobjCategory>
</xsl:when>
<!-- Review -->
<xsl:when test="//base_dc:typenorm = '15'">
<dr:CobjCategory type="publication">0015</dr:CobjCategory>
</xsl:when>
<!-- Lecture -->
<xsl:when test="//base_dc:typenorm = '17'">
<dr:CobjCategory type="publication">0010</dr:CobjCategory>
</xsl:when>
<!-- Bachelor's thesis -->
<xsl:when test="//base_dc:typenorm = '181'">
<dr:CobjCategory type="publication">0008</dr:CobjCategory>
</xsl:when>
<!-- Master's thesis -->
<xsl:when test="//base_dc:typenorm = '182'">
<dr:CobjCategory type="publication">0007</dr:CobjCategory>
</xsl:when>
<!-- Doctoral and postdoctoral thesis -->
<xsl:when test="//base_dc:typenorm = '183'">
<dr:CobjCategory type="publication">0006</dr:CobjCategory>
</xsl:when>
<!-- Thesis -->
<xsl:when test="//base_dc:typenorm = '18'">
<dr:CobjCategory type="publication">0044</dr:CobjCategory>
</xsl:when>
<!-- Patent -->
<xsl:when test="//base_dc:typenorm = '1A'">
<dr:CobjCategory type="publication">0019</dr:CobjCategory>
</xsl:when>
<!-- Text -->
<xsl:when test="//base_dc:typenorm = '1'">
<dr:CobjCategory type="publication">0001</dr:CobjCategory>
</xsl:when>
<!-- Software -->
<xsl:when test="//base_dc:typenorm = '6'">
<dr:CobjCategory type="software">0029</dr:CobjCategory>
</xsl:when>
<!-- Dataset -->
<xsl:when test="//base_dc:typenorm = '7'">
<dr:CobjCategory type="dataset">0021</dr:CobjCategory>
</xsl:when>
<!-- Still image -->
<xsl:when test="//base_dc:typenorm = '51'">
<dr:CobjCategory type="other">0025</dr:CobjCategory>
</xsl:when>
<!-- Moving image/Video -->
<xsl:when test="//base_dc:typenorm = '52'">
<dr:CobjCategory type="other">0024</dr:CobjCategory>
</xsl:when>
<!-- Image/Video -->
<xsl:when test="//base_dc:typenorm = '5'">
<dr:CobjCategory type="other">0033</dr:CobjCategory>
</xsl:when>
<!-- Audio -->
<xsl:when test="//base_dc:typenorm = '4'">
<dr:CobjCategory type="other">0030</dr:CobjCategory>
</xsl:when>
<!-- Musical notation -->
<xsl:when test="//base_dc:typenorm = '2'">
<dr:CobjCategory type="other">0020</dr:CobjCategory>
</xsl:when>
<!-- Map -->
<xsl:when test="//base_dc:typenorm = '3'">
<dr:CobjCategory type="other">0020</dr:CobjCategory>
</xsl:when>
<!-- Other non-article -->
<xsl:when test="//base_dc:typenorm = '122'">
<dr:CobjCategory type="publication">0038</dr:CobjCategory>
</xsl:when>
<!-- Course material -->
<xsl:when test="//base_dc:typenorm = '16'">
<dr:CobjCategory type="publication">0038</dr:CobjCategory>
</xsl:when>
<!-- Manuscript -->
<xsl:when test="//base_dc:typenorm = '19'">
<dr:CobjCategory type="publication">0038</dr:CobjCategory>
</xsl:when>
<!-- Conference object -->
<xsl:when test="//base_dc:typenorm = '13'">
<dr:CobjCategory type="publication">0004</dr:CobjCategory>
</xsl:when>
<!-- Unknown -->
<xsl:when test="//base_dc:typenorm = 'F'">
<dr:CobjCategory type="other">0000</dr:CobjCategory>
</xsl:when>
<xsl:otherwise>
<dr:CobjCategory type="other">0000</dr:CobjCategory>
</xsl:otherwise>
</xsl:choose>
<dr:CobjCategory>
<xsl:variable name="varCobjCategory" select="vocabulary:clean($varBaseNormType, 'dnet:publication_resource')" />
<xsl:variable name="varSuperType" select="vocabulary:clean($varCobjCategory, 'dnet:result_typologies')" />
<xsl:attribute name="type" select="$varSuperType" />
<xsl:value-of select="$varCobjCategory" />
</dr:CobjCategory>
<oaf:accessrights>
<xsl:choose>
<xsl:when test="//base_dc:oa[.='0']">CLOSED</xsl:when>
<xsl:when test="//base_dc:oa[.='1']">OPEN</xsl:when>
<xsl:when test="//base_dc:oa[.='2']">UNKNOWN</xsl:when>
<xsl:when test="//base_dc:rightsnorm">
<xsl:value-of select="vocabulary:clean(//base_dc:rightsnorm, 'dnet:access_modes')" />
</xsl:when>
@ -342,7 +207,7 @@ base_dc:link (I used dc:identifier)
<oaf:identifier identifierType="oai-original">
<xsl:value-of
select="//oai:header/oai:identifier" />
select="//*[local-name() = 'about']/*[local-name() = 'provenance']//*[local-name() = 'originDescription' and not(./*[local-name() = 'originDescription'])]/*[local-name() = 'identifier']" />
</oaf:identifier>
<oaf:hostedBy>
@ -388,8 +253,13 @@ base_dc:link (I used dc:identifier)
<xsl:value-of select="concat('ror_________::https://ror.org/', normalize-space(.))" />
</xsl:otherwise>
</xsl:choose>
</oaf:relation>
</oaf:relation>
</xsl:for-each>
<xsl:for-each select="//base_dc:country">
<oaf:country><xsl:value-of select="vocabulary:clean(., 'dnet:countries')" /></oaf:country>
</xsl:for-each>
</metadata>
<xsl:copy-of select="//*[local-name() = 'about']" />
</record>

View File

@ -42,7 +42,6 @@
base_dc:global_id (I used oai:identifier)
base_dc:collection/text()
base_dc:continent
base_dc:country
dc:coverage
dc:source
dc:relation
@ -51,6 +50,10 @@
base_dc:link (I used dc:identifier)
-->
<xsl:variable name="varBaseNormType" select="vocabulary:clean(//base_dc:typenorm, 'base:normalized_types')" />
<metadata>
<datacite:resource>
@ -82,17 +85,14 @@
<datacite:identifier alternateIdentifierType="oai-original">
<xsl:value-of
select="//oai:header/oai:identifier" />
select="//*[local-name() = 'about']/*[local-name() = 'provenance']//*[local-name() = 'originDescription' and not(./*[local-name() = 'originDescription'])]/*[local-name() = 'identifier']" />
</datacite:identifier>
</datacite:alternateIdentifiers>
<datacite:relatedIdentifiers />
<xsl:for-each select="//base_dc:typenorm">
<datacite:resourceType><xsl:value-of select="vocabulary:clean(., 'base:normalized_types')" /></datacite:resourceType>
</xsl:for-each>
<datacite:resourceType><xsl:value-of select="$varBaseNormType" /></datacite:resourceType>
<datacite:titles>
<xsl:for-each select="//dc:title">
@ -153,18 +153,14 @@
</xsl:for-each>
</datacite:subjects>
<xsl:for-each select="//dc:publisher">
<datacite:publisher>
<xsl:value-of select="normalize-space(.)" />
</datacite:publisher>
</xsl:for-each>
<datacite:publisher>
<xsl:value-of select="normalize-space(//dc:publisher)" />
</datacite:publisher>
<datacite:publicationYear>
<xsl:value-of select="normalize-space(//base_dc:year)" />
</datacite:publicationYear>
<xsl:for-each select="//base_dc:year">
<datacite:publicationYear>
<xsl:value-of select="normalize-space(.)" />
</datacite:publicationYear>
</xsl:for-each>
<datacite:formats>
<xsl:for-each select="//dc:format">
<datacite:format>
@ -178,9 +174,6 @@
</datacite:language>
<oaf:accessrights>
<xsl:if test="//base_dc:oa[.='0']">
<datacite:rights rightsURI="http://purl.org/coar/access_right/c_16ec">restricted access</datacite:rights>
</xsl:if>
<xsl:if test="//base_dc:oa[.='1']">
<datacite:rights rightsURI="http://purl.org/coar/access_right/c_abf2">open access</datacite:rights>
</xsl:if>
@ -191,162 +184,29 @@
</datacite:resource>
<xsl:for-each select="//dc:relation">
<xsl:if test="matches(normalize-space(.), '(info:eu-repo/grantagreement/ec/fp7/)(\d\d\d\d\d\d)(.*)', 'i')">
<oaf:projectid>
<xsl:value-of select="concat($varFP7, replace(normalize-space(.), '(info:eu-repo/grantagreement/ec/fp7/)(\d\d\d\d\d\d)(.*)', '$2', 'i'))" />
</oaf:projectid>
</xsl:if>
<xsl:if test="matches(normalize-space(.), '(info:eu-repo/grantagreement/ec/h2020/)(\d\d\d\d\d\d)(.*)', 'i')">
<oaf:projectid>
<xsl:value-of select="concat($varH2020, replace(normalize-space(.), '(info:eu-repo/grantagreement/ec/h2020/)(\d\d\d\d\d\d)(.*)', '$2', 'i'))" />
</oaf:projectid>
</xsl:if>
</xsl:for-each>
<xsl:for-each select="//dc:relation">
<xsl:if test="matches(normalize-space(.), '(info:eu-repo/grantagreement/ec/fp7/)(\d\d\d\d\d\d)(.*)', 'i')">
<oaf:projectid>
<xsl:value-of select="concat($varFP7, replace(normalize-space(.), '(info:eu-repo/grantagreement/ec/fp7/)(\d\d\d\d\d\d)(.*)', '$2', 'i'))" />
</oaf:projectid>
</xsl:if>
<xsl:if test="matches(normalize-space(.), '(info:eu-repo/grantagreement/ec/h2020/)(\d\d\d\d\d\d)(.*)', 'i')">
<oaf:projectid>
<xsl:value-of select="concat($varH2020, replace(normalize-space(.), '(info:eu-repo/grantagreement/ec/h2020/)(\d\d\d\d\d\d)(.*)', '$2', 'i'))" />
</oaf:projectid>
</xsl:if>
</xsl:for-each>
<xsl:choose>
<!-- I used an inline mapping because the field typenorm could be repeated and I have to specify a list of priority -->
<!-- Book part -->
<xsl:when test="//base_dc:typenorm = '111'">
<dr:CobjCategory type="publication">0013</dr:CobjCategory>
</xsl:when>
<!-- Book -->
<xsl:when test="//base_dc:typenorm = '11'">
<dr:CobjCategory type="publication">0002</dr:CobjCategory>
</xsl:when>
<!-- Article contribution -->
<xsl:when test="//base_dc:typenorm = '121'">
<dr:CobjCategory type="publication">0001</dr:CobjCategory>
</xsl:when>
<!-- Journal/Newspaper -->
<xsl:when test="//base_dc:typenorm = '12'">
<dr:CobjCategory type="publication">0043</dr:CobjCategory>
</xsl:when>
<!-- Report -->
<xsl:when test="//base_dc:typenorm = '14'">
<dr:CobjCategory type="publication">0017</dr:CobjCategory>
</xsl:when>
<!-- Review -->
<xsl:when test="//base_dc:typenorm = '15'">
<dr:CobjCategory type="publication">0015</dr:CobjCategory>
</xsl:when>
<!-- Lecture -->
<xsl:when test="//base_dc:typenorm = '17'">
<dr:CobjCategory type="publication">0010</dr:CobjCategory>
</xsl:when>
<!-- Bachelor's thesis -->
<xsl:when test="//base_dc:typenorm = '181'">
<dr:CobjCategory type="publication">0008</dr:CobjCategory>
</xsl:when>
<!-- Master's thesis -->
<xsl:when test="//base_dc:typenorm = '182'">
<dr:CobjCategory type="publication">0007</dr:CobjCategory>
</xsl:when>
<!-- Doctoral and postdoctoral thesis -->
<xsl:when test="//base_dc:typenorm = '183'">
<dr:CobjCategory type="publication">0006</dr:CobjCategory>
</xsl:when>
<!-- Thesis -->
<xsl:when test="//base_dc:typenorm = '18'">
<dr:CobjCategory type="publication">0044</dr:CobjCategory>
</xsl:when>
<!-- Patent -->
<xsl:when test="//base_dc:typenorm = '1A'">
<dr:CobjCategory type="publication">0019</dr:CobjCategory>
</xsl:when>
<!-- Text -->
<xsl:when test="//base_dc:typenorm = '1'">
<dr:CobjCategory type="publication">0001</dr:CobjCategory>
</xsl:when>
<!-- Software -->
<xsl:when test="//base_dc:typenorm = '6'">
<dr:CobjCategory type="software">0029</dr:CobjCategory>
</xsl:when>
<!-- Dataset -->
<xsl:when test="//base_dc:typenorm = '7'">
<dr:CobjCategory type="dataset">0021</dr:CobjCategory>
</xsl:when>
<!-- Still image -->
<xsl:when test="//base_dc:typenorm = '51'">
<dr:CobjCategory type="other">0025</dr:CobjCategory>
</xsl:when>
<!-- Moving image/Video -->
<xsl:when test="//base_dc:typenorm = '52'">
<dr:CobjCategory type="other">0024</dr:CobjCategory>
</xsl:when>
<!-- Image/Video -->
<xsl:when test="//base_dc:typenorm = '5'">
<dr:CobjCategory type="other">0033</dr:CobjCategory>
</xsl:when>
<dr:CobjCategory>
<xsl:variable name="varCobjCategory" select="vocabulary:clean($varBaseNormType, 'dnet:publication_resource')" />
<xsl:variable name="varSuperType" select="vocabulary:clean($varCobjCategory, 'dnet:result_typologies')" />
<xsl:attribute name="type" select="$varSuperType" />
<xsl:value-of select="$varCobjCategory" />
</dr:CobjCategory>
<!-- Audio -->
<xsl:when test="//base_dc:typenorm = '4'">
<dr:CobjCategory type="other">0030</dr:CobjCategory>
</xsl:when>
<!-- Musical notation -->
<xsl:when test="//base_dc:typenorm = '2'">
<dr:CobjCategory type="other">0020</dr:CobjCategory>
</xsl:when>
<!-- Map -->
<xsl:when test="//base_dc:typenorm = '3'">
<dr:CobjCategory type="other">0020</dr:CobjCategory>
</xsl:when>
<!-- Other non-article -->
<xsl:when test="//base_dc:typenorm = '122'">
<dr:CobjCategory type="publication">0038</dr:CobjCategory>
</xsl:when>
<!-- Course material -->
<xsl:when test="//base_dc:typenorm = '16'">
<dr:CobjCategory type="publication">0038</dr:CobjCategory>
</xsl:when>
<!-- Manuscript -->
<xsl:when test="//base_dc:typenorm = '19'">
<dr:CobjCategory type="publication">0038</dr:CobjCategory>
</xsl:when>
<!-- Conference object -->
<xsl:when test="//base_dc:typenorm = '13'">
<dr:CobjCategory type="publication">0004</dr:CobjCategory>
</xsl:when>
<!-- Unknown -->
<xsl:when test="//base_dc:typenorm = 'F'">
<dr:CobjCategory type="other">0000</dr:CobjCategory>
</xsl:when>
<xsl:otherwise>
<dr:CobjCategory type="other">0000</dr:CobjCategory>
</xsl:otherwise>
</xsl:choose>
<oaf:accessrights>
<xsl:choose>
<xsl:when test="//base_dc:oa[.='0']">CLOSED</xsl:when>
<xsl:when test="//base_dc:oa[.='1']">OPEN</xsl:when>
<xsl:when test="//base_dc:oa[.='2']">UNKNOWN</xsl:when>
<xsl:when test="//base_dc:rightsnorm">
<xsl:value-of select="vocabulary:clean(//base_dc:rightsnorm, 'dnet:access_modes')" />
</xsl:when>
@ -384,7 +244,7 @@
<oaf:identifier identifierType="oai-original">
<xsl:value-of
select="//oai:header/oai:identifier" />
select="//*[local-name() = 'about']/*[local-name() = 'provenance']//*[local-name() = 'originDescription' and not(./*[local-name() = 'originDescription'])]/*[local-name() = 'identifier']" />
</oaf:identifier>
<oaf:hostedBy>
@ -429,6 +289,11 @@
</xsl:choose>
</oaf:relation>
</xsl:for-each>
<xsl:for-each select="//base_dc:country">
<oaf:country><xsl:value-of select="vocabulary:clean(., 'dnet:countries')" /></oaf:country>
</xsl:for-each>
</metadata>
<xsl:copy-of select="//*[local-name() = 'about']" />
</record>

View File

@ -1048,5 +1048,10 @@
"openaire_id": "re3data_____::r3d100010399",
"datacite_name": "ZEW Forschungsdatenzentrum",
"official_name": "ZEW Forschungsdatenzentrum"
},
"HBP.NEUROINF": {
"openaire_id": "fairsharing_::2975",
"datacite_name": "EBRAINS",
"official_name": "EBRAINS"
}
}

View File

@ -1,4 +1,4 @@
<workflow-app name="Transform_BioEntity_Workflow" xmlns="uri:oozie:workflow:0.5">
<workflow-app name="Transform_BioEntity_Workflow" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>sourcePath</name>
@ -8,19 +8,40 @@
<name>database</name>
<description>the PDB Database Working Path</description>
</property>
<property>
<name>targetPath</name>
<description>the Target Working dir path</description>
<name>mdStoreOutputId</name>
<description>the identifier of the cleaned MDStore</description>
</property>
<property>
<name>mdStoreManagerURI</name>
<description>the path of the cleaned mdstore</description>
</property>
</parameters>
<start to="ConvertDB"/>
<start to="StartTransaction"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="StartTransaction">
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
<arg>--action</arg><arg>NEW_VERSION</arg>
<arg>--mdStoreID</arg><arg>${mdStoreOutputId}</arg>
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
<capture-output/>
</java>
<ok to="ConvertDB"/>
<error to="RollBack"/>
</action>
<action name="ConvertDB">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
@ -41,11 +62,48 @@
<arg>--master</arg><arg>yarn</arg>
<arg>--dbPath</arg><arg>${sourcePath}</arg>
<arg>--database</arg><arg>${database}</arg>
<arg>--targetPath</arg><arg>${targetPath}</arg>
<arg>--mdstoreOutputVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
<ok to="CommitVersion"/>
<error to="RollBack"/>
</action>
<end name="End"/>
<action name="CommitVersion">
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
<arg>--action</arg><arg>COMMIT</arg>
<arg>--namenode</arg><arg>${nameNode}</arg>
<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
</java>
<ok to="End"/>
<error to="Kill"/>
</action>
<action name="RollBack">
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
<arg>--action</arg><arg>ROLLBACK</arg>
<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
</java>
<ok to="Kill"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -2,5 +2,5 @@
{"paramName":"mt", "paramLongName":"master", "paramDescription": "should be local or yarn", "paramRequired": true},
{"paramName":"db", "paramLongName":"database", "paramDescription": "should be PDB or UNIPROT", "paramRequired": true},
{"paramName":"p", "paramLongName":"dbPath", "paramDescription": "the path of the database to transform", "paramRequired": true},
{"paramName":"t", "paramLongName":"targetPath", "paramDescription": "the OAF target path ", "paramRequired": true}
{"paramName":"mo", "paramLongName":"mdstoreOutputVersion", "paramDescription": "the oaf path ", "paramRequired": true}
]

View File

@ -1,5 +1,20 @@
[
{"paramName":"mt", "paramLongName":"master", "paramDescription": "should be local or yarn", "paramRequired": true},
{"paramName":"s", "paramLongName":"sourcePath","paramDescription": "the source Path", "paramRequired": true},
{"paramName":"t", "paramLongName":"targetPath","paramDescription": "the oaf path ", "paramRequired": true}
{
"paramName": "mt",
"paramLongName": "master",
"paramDescription": "should be local or yarn",
"paramRequired": true
},
{
"paramName": "s",
"paramLongName": "sourcePath",
"paramDescription": "the source Path",
"paramRequired": true
},
{
"paramName": "mo",
"paramLongName": "mdstoreOutputVersion",
"paramDescription": "the oaf path ",
"paramRequired": true
}
]

View File

@ -9,34 +9,26 @@
<description>the Working Path</description>
</property>
<property>
<name>targetPath</name>
<description>the OAF MDStore Path</description>
<name>mdStoreOutputId</name>
<description>the identifier of the cleaned MDStore</description>
</property>
<property>
<name>sparkDriverMemory</name>
<description>memory for driver process</description>
</property>
<property>
<name>sparkExecutorMemory</name>
<description>memory for individual executor</description>
</property>
<property>
<name>sparkExecutorCores</name>
<description>number of cores used by single executor</description>
<name>mdStoreManagerURI</name>
<description>the path of the cleaned mdstore</description>
</property>
<property>
<name>resumeFrom</name>
<value>DownloadEBILinks</value>
<value>CreateEBIDataSet</value>
<description>node to start</description>
</property>
</parameters>
<start to="resume_from"/>
<start to="StartTransaction"/>
<decision name="resume_from">
<switch>
<case to="DownloadEBILinks">${wf:conf('resumeFrom') eq 'DownloadEBILinks'}</case>
<case to="CreateEBIDataSet">${wf:conf('resumeFrom') eq 'CreateEBIDataSet'}</case>
<case to="StartTransaction">${wf:conf('resumeFrom') eq 'CreateEBIDataSet'}</case>
<default to="DownloadEBILinks"/>
</switch>
</decision>
@ -77,9 +69,29 @@
<move source="${sourcePath}/ebi_links_dataset" target="${sourcePath}/ebi_links_dataset_old"/>
<move source="${workingPath}/links_final" target="${sourcePath}/ebi_links_dataset"/>
</fs>
<ok to="CreateEBIDataSet"/>
<ok to="StartTransaction"/>
<error to="Kill"/>
</action>
<action name="StartTransaction">
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
<arg>--action</arg><arg>NEW_VERSION</arg>
<arg>--mdStoreID</arg><arg>${mdStoreOutputId}</arg>
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
<capture-output/>
</java>
<ok to="CreateEBIDataSet"/>
<error to="RollBack"/>
</action>
<action name="CreateEBIDataSet">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn-cluster</master>
@ -95,11 +107,49 @@
${sparkExtraOPT}
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/ebi_links_dataset</arg>
<arg>--targetPath</arg><arg>${targetPath}</arg>
<arg>--mdstoreOutputVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
<arg>--master</arg><arg>yarn</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<action name="CommitVersion">
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
<arg>--action</arg><arg>COMMIT</arg>
<arg>--namenode</arg><arg>${nameNode}</arg>
<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
</java>
<ok to="End"/>
<error to="Kill"/>
</action>
<action name="RollBack">
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
<arg>--action</arg><arg>ROLLBACK</arg>
<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
</java>
<ok to="Kill"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -1,120 +0,0 @@
package eu.dnetlib.dhp.collection.orcid
import eu.dnetlib.dhp.application.AbstractScalaApplication
import org.apache.spark.sql.{DataFrame, SaveMode, SparkSession}
import org.slf4j.{Logger, LoggerFactory}
class SparkApplyUpdate(propertyPath: String, args: Array[String], log: Logger)
extends AbstractScalaApplication(propertyPath, args, log: Logger) {
/** Here all the spark applications runs this method
* where the whole logic of the spark node is defined
*/
override def run(): Unit = {
val graphPath: String = parser.get("graphPath")
log.info("found parameters graphPath: {}", graphPath)
val updatePath: String = parser.get("updatePath")
log.info("found parameters updatePath: {}", updatePath)
val targetPath: String = parser.get("targetPath")
log.info("found parameters targetPath: {}", targetPath)
applyTableUpdate(spark, graphPath, updatePath, targetPath)
checkUpdate(spark, graphPath, targetPath)
moveTable(spark, graphPath, targetPath)
}
private def moveTable(spark: SparkSession, graphPath: String, updatePath: String): Unit = {
spark.read
.load(s"$updatePath/Authors")
.repartition(1000)
.write
.mode(SaveMode.Overwrite)
.save(s"$graphPath/Authors")
spark.read
.load(s"$updatePath/Works")
.repartition(1000)
.write
.mode(SaveMode.Overwrite)
.save(s"$graphPath/Works")
spark.read
.load(s"$updatePath/Employments")
.repartition(1000)
.write
.mode(SaveMode.Overwrite)
.save(s"$graphPath/Employments")
}
private def updateDataset(
inputDataset: DataFrame,
idUpdate: DataFrame,
updateDataframe: DataFrame,
targetPath: String
): Unit = {
inputDataset
.join(idUpdate, inputDataset("orcid").equalTo(idUpdate("orcid")), "leftanti")
.select(inputDataset("*"))
.unionByName(updateDataframe)
.write
.mode(SaveMode.Overwrite)
.save(targetPath)
}
private def checkUpdate(spark: SparkSession, graphPath: String, updatePath: String): Unit = {
val totalOriginalAuthors = spark.read.load(s"$graphPath/Authors").count
val totalOriginalWorks = spark.read.load(s"$graphPath/Works").count
val totalOriginalEmployments = spark.read.load(s"$graphPath/Employments").count
val totalUpdateAuthors = spark.read.load(s"$updatePath/Authors").count
val totalUpdateWorks = spark.read.load(s"$updatePath/Works").count
val totalUpdateEmployments = spark.read.load(s"$updatePath/Employments").count
log.info("totalOriginalAuthors: {}", totalOriginalAuthors)
log.info("totalOriginalWorks: {}", totalOriginalWorks)
log.info("totalOriginalEmployments: {}", totalOriginalEmployments)
log.info("totalUpdateAuthors: {}", totalUpdateAuthors)
log.info("totalUpdateWorks: {}", totalUpdateWorks)
log.info("totalUpdateEmployments: {}", totalUpdateEmployments)
if (
totalUpdateAuthors < totalOriginalAuthors || totalUpdateEmployments < totalOriginalEmployments || totalUpdateWorks < totalOriginalWorks
)
throw new RuntimeException("The updated Graph contains less elements of the original one")
}
private def applyTableUpdate(spark: SparkSession, graphPath: String, updatePath: String, targetPath: String): Unit = {
val orcidIDUpdate = spark.read.load(s"$updatePath/Authors").select("orcid")
updateDataset(
spark.read.load(s"$graphPath/Authors"),
orcidIDUpdate,
spark.read.load(s"$updatePath/Authors"),
s"$targetPath/Authors"
)
updateDataset(
spark.read.load(s"$graphPath/Employments"),
orcidIDUpdate,
spark.read.load(s"$updatePath/Employments"),
s"$targetPath/Employments"
)
updateDataset(
spark.read.load(s"$graphPath/Works"),
orcidIDUpdate,
spark.read.load(s"$updatePath/Works"),
s"$targetPath/Works"
)
}
}
object SparkApplyUpdate {
val log: Logger = LoggerFactory.getLogger(SparkGenerateORCIDTable.getClass)
def main(args: Array[String]): Unit = {
new SparkApplyUpdate("/eu/dnetlib/dhp/collection/orcid/apply_orcid_table_parameter.json", args, log)
.initialize()
.run()
}
}

View File

@ -6,7 +6,6 @@ import org.apache.hadoop.io.Text
import org.apache.spark.SparkContext
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
import org.slf4j.{Logger, LoggerFactory}
import scala.collection.JavaConverters._
class SparkGenerateORCIDTable(propertyPath: String, args: Array[String], log: Logger)
extends AbstractScalaApplication(propertyPath, args, log: Logger) {
@ -19,16 +18,12 @@ class SparkGenerateORCIDTable(propertyPath: String, args: Array[String], log: Lo
log.info("found parameters sourcePath: {}", sourcePath)
val targetPath: String = parser.get("targetPath")
log.info("found parameters targetPath: {}", targetPath)
val fromUpdate = "true".equals(parser.get("fromUpdate"))
val sourceSummaryPath = if (fromUpdate) s"$sourcePath/summary*" else sourcePath
val sourceEmploymentsPath = if (fromUpdate) s"$sourcePath/employments*" else sourcePath
val sourceWorksPath = if (fromUpdate) s"$sourcePath/works*" else sourcePath
extractORCIDTable(spark, sourceSummaryPath, targetPath, fromUpdate)
extractORCIDEmploymentsTable(spark, sourceEmploymentsPath, targetPath, fromUpdate)
extractORCIDWorksTable(spark, sourceWorksPath, targetPath, fromUpdate)
extractORCIDTable(spark, sourcePath, targetPath)
extractORCIDEmploymentsTable(spark, sourcePath, targetPath)
extractORCIDWorksTable(spark, sourcePath, targetPath)
}
def extractORCIDTable(spark: SparkSession, sourcePath: String, targetPath: String, skipFilterByKey: Boolean): Unit = {
def extractORCIDTable(spark: SparkSession, sourcePath: String, targetPath: String): Unit = {
val sc: SparkContext = spark.sparkContext
import spark.implicits._
val df = sc
@ -37,8 +32,8 @@ class SparkGenerateORCIDTable(propertyPath: String, args: Array[String], log: Lo
.toDF
.as[(String, String)]
implicit val orcidAuthor: Encoder[Author] = Encoders.bean(classOf[Author])
val newDf = if (!skipFilterByKey) df.filter(r => r._1.contains("summaries")) else df
newDf
// implicit val orcidPID:Encoder[Pid] = Encoders.bean(classOf[Pid])
df.filter(r => r._1.contains("summaries"))
.map { r =>
val p = new OrcidParser
p.parseSummary(r._2)
@ -49,12 +44,7 @@ class SparkGenerateORCIDTable(propertyPath: String, args: Array[String], log: Lo
.save(s"$targetPath/Authors")
}
def extractORCIDWorksTable(
spark: SparkSession,
sourcePath: String,
targetPath: String,
skipFilterByKey: Boolean
): Unit = {
def extractORCIDWorksTable(spark: SparkSession, sourcePath: String, targetPath: String): Unit = {
val sc: SparkContext = spark.sparkContext
import spark.implicits._
val df = sc
@ -63,37 +53,19 @@ class SparkGenerateORCIDTable(propertyPath: String, args: Array[String], log: Lo
.toDF
.as[(String, String)]
implicit val orcidWorkAuthor: Encoder[Work] = Encoders.bean(classOf[Work])
//We are in the case of parsing ORCID UPDATE
if (skipFilterByKey) {
df.flatMap { r =>
implicit val orcidPID: Encoder[Pid] = Encoders.bean(classOf[Pid])
df.filter(r => r._1.contains("works"))
.map { r =>
val p = new OrcidParser
p.parseWorks(r._2).asScala
}.filter(p => p != null)
.write
.mode(SaveMode.Overwrite)
.save(s"$targetPath/Works")
}
//We are in the case of parsing ORCID DUMP
else {
df.filter(r => r._1.contains("works"))
.map { r =>
val p = new OrcidParser
p.parseWork(r._2)
}
.filter(p => p != null)
.write
.mode(SaveMode.Overwrite)
.save(s"$targetPath/Works")
}
p.parseWork(r._2)
}
.filter(p => p != null)
.write
.mode(SaveMode.Overwrite)
.save(s"$targetPath/Works")
}
def extractORCIDEmploymentsTable(
spark: SparkSession,
sourcePath: String,
targetPath: String,
skipFilterByKey: Boolean
): Unit = {
def extractORCIDEmploymentsTable(spark: SparkSession, sourcePath: String, targetPath: String): Unit = {
val sc: SparkContext = spark.sparkContext
import spark.implicits._
val df = sc
@ -102,27 +74,16 @@ class SparkGenerateORCIDTable(propertyPath: String, args: Array[String], log: Lo
.toDF
.as[(String, String)]
implicit val orcidEmploymentAuthor: Encoder[Employment] = Encoders.bean(classOf[Employment])
if (skipFilterByKey) {
df.flatMap { r =>
implicit val orcidPID: Encoder[Pid] = Encoders.bean(classOf[Pid])
df.filter(r => r._1.contains("employments"))
.map { r =>
val p = new OrcidParser
p.parseEmployments(r._2).asScala
}.filter(p => p != null)
.write
.mode(SaveMode.Overwrite)
.save(s"$targetPath/Employments")
}
//We are in the case of parsing ORCID DUMP
else {
df.filter(r => r._1.contains("employments"))
.map { r =>
val p = new OrcidParser
p.parseEmployment(r._2)
}
.filter(p => p != null)
.write
.mode(SaveMode.Overwrite)
.save(s"$targetPath/Employments")
}
p.parseEmployment(r._2)
}
.filter(p => p != null)
.write
.mode(SaveMode.Overwrite)
.save(s"$targetPath/Employments")
}
}

View File

@ -231,7 +231,7 @@ object BioDBToOAF {
def uniprotToOAF(input: String): List[Oaf] = {
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
lazy val json = parse(input)
val pid = (json \ "pid").extract[String]
val pid = (json \ "pid").extract[String].trim()
val d = new Dataset

View File

@ -2,12 +2,15 @@ package eu.dnetlib.dhp.sx.bio
import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.collection.CollectionUtils
import eu.dnetlib.dhp.common.Constants.{MDSTORE_DATA_PATH, MDSTORE_SIZE_PATH}
import eu.dnetlib.dhp.schema.mdstore.MDStoreVersion
import eu.dnetlib.dhp.schema.oaf.Oaf
import eu.dnetlib.dhp.sx.bio.BioDBToOAF.ScholixResolved
import org.apache.commons.io.IOUtils
import org.apache.spark.SparkConf
import org.apache.spark.sql.{Encoder, Encoders, SparkSession}
import org.slf4j.{Logger, LoggerFactory}
import eu.dnetlib.dhp.utils.DHPUtils.{MAPPER, writeHdfsFile}
object SparkTransformBioDatabaseToOAF {
@ -25,8 +28,13 @@ object SparkTransformBioDatabaseToOAF {
val dbPath: String = parser.get("dbPath")
log.info("dbPath: {}", database)
val targetPath: String = parser.get("targetPath")
log.info("targetPath: {}", database)
val mdstoreOutputVersion = parser.get("mdstoreOutputVersion")
log.info("mdstoreOutputVersion: {}", mdstoreOutputVersion)
val cleanedMdStoreVersion = MAPPER.readValue(mdstoreOutputVersion, classOf[MDStoreVersion])
val outputBasePath = cleanedMdStoreVersion.getHdfsPath
log.info("outputBasePath: {}", outputBasePath)
val spark: SparkSession =
SparkSession
@ -43,24 +51,28 @@ object SparkTransformBioDatabaseToOAF {
case "UNIPROT" =>
CollectionUtils.saveDataset(
spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.uniprotToOAF(i))),
targetPath
s"$outputBasePath/$MDSTORE_DATA_PATH"
)
case "PDB" =>
CollectionUtils.saveDataset(
spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.pdbTOOaf(i))),
targetPath
s"$outputBasePath/$MDSTORE_DATA_PATH"
)
case "SCHOLIX" =>
CollectionUtils.saveDataset(
spark.read.load(dbPath).as[ScholixResolved].map(i => BioDBToOAF.scholixResolvedToOAF(i)),
targetPath
s"$outputBasePath/$MDSTORE_DATA_PATH"
)
case "CROSSREF_LINKS" =>
CollectionUtils.saveDataset(
spark.createDataset(sc.textFile(dbPath).map(i => BioDBToOAF.crossrefLinksToOaf(i))),
targetPath
s"$outputBasePath/$MDSTORE_DATA_PATH"
)
}
val df = spark.read.text(s"$outputBasePath/$MDSTORE_DATA_PATH")
val mdStoreSize = df.count
writeHdfsFile(spark.sparkContext.hadoopConfiguration, s"$mdStoreSize", s"$outputBasePath/$MDSTORE_SIZE_PATH")
}
}

View File

@ -9,6 +9,9 @@ import org.apache.commons.io.IOUtils
import org.apache.spark.SparkConf
import org.apache.spark.sql._
import org.slf4j.{Logger, LoggerFactory}
import eu.dnetlib.dhp.common.Constants.{MDSTORE_DATA_PATH, MDSTORE_SIZE_PATH}
import eu.dnetlib.dhp.schema.mdstore.MDStoreVersion
import eu.dnetlib.dhp.utils.DHPUtils.{MAPPER, writeHdfsFile}
object SparkEBILinksToOaf {
@ -32,8 +35,13 @@ object SparkEBILinksToOaf {
import spark.implicits._
val sourcePath = parser.get("sourcePath")
log.info(s"sourcePath -> $sourcePath")
val targetPath = parser.get("targetPath")
log.info(s"targetPath -> $targetPath")
val mdstoreOutputVersion = parser.get("mdstoreOutputVersion")
log.info("mdstoreOutputVersion: {}", mdstoreOutputVersion)
val cleanedMdStoreVersion = MAPPER.readValue(mdstoreOutputVersion, classOf[MDStoreVersion])
val outputBasePath = cleanedMdStoreVersion.getHdfsPath
log.info("outputBasePath: {}", outputBasePath)
implicit val PMEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
val ebLinks: Dataset[EBILinkItem] = spark.read
@ -46,7 +54,10 @@ object SparkEBILinksToOaf {
.flatMap(j => BioDBToOAF.parse_ebi_links(j.links))
.filter(p => BioDBToOAF.EBITargetLinksFilter(p))
.flatMap(p => BioDBToOAF.convertEBILinksToOaf(p)),
targetPath
s"$outputBasePath/$MDSTORE_DATA_PATH"
)
val df = spark.read.text(s"$outputBasePath/$MDSTORE_DATA_PATH")
val mdStoreSize = df.count
writeHdfsFile(spark.sparkContext.hadoopConfiguration, s"$mdStoreSize", s"$outputBasePath/$MDSTORE_SIZE_PATH")
}
}

View File

@ -78,6 +78,10 @@ public class PrepareAffiliationRelationsTest {
.getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/doi_to_ror.json")
.getPath();
String pubmedAffiliationRelationsPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/bipaffiliations/doi_to_ror.json")
.getPath();
String outputPath = workingDir.toString() + "/actionSet";
PrepareAffiliationRelations
@ -85,8 +89,7 @@ public class PrepareAffiliationRelationsTest {
new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-crossrefInputPath", crossrefAffiliationRelationPath,
"-pubmedInputPath", crossrefAffiliationRelationPath,
"-openapcInputPath", crossrefAffiliationRelationPath,
"-pubmedInputPath", pubmedAffiliationRelationsPath,
"-outputPath", outputPath
});
@ -103,7 +106,7 @@ public class PrepareAffiliationRelationsTest {
// );
// }
// count the number of relations
assertEquals(60, tmp.count());
assertEquals(40, tmp.count());
Dataset<Relation> dataset = spark.createDataset(tmp.rdd(), Encoders.bean(Relation.class));
dataset.createOrReplaceTempView("result");
@ -114,7 +117,7 @@ public class PrepareAffiliationRelationsTest {
// verify that we have equal number of bi-directional relations
Assertions
.assertEquals(
30, execVerification
20, execVerification
.filter(
"relClass='" + ModelConstants.HAS_AUTHOR_INSTITUTION + "'")
.collectAsList()
@ -122,7 +125,7 @@ public class PrepareAffiliationRelationsTest {
Assertions
.assertEquals(
30, execVerification
20, execVerification
.filter(
"relClass='" + ModelConstants.IS_AUTHOR_INSTITUTION_OF + "'")
.collectAsList()

View File

@ -1,104 +0,0 @@
package eu.dnetlib.dhp.actionmanager.fosnodoi;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import org.apache.commons.io.FileUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.LocalFileSystem;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.GetFOSSparkJob;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.PrepareTest;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.ProduceTest;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.model.FOSDataModel;
/**
* @author miriam.baglioni
* @Date 13/02/23
*/
public class GetFosTest {
private static final Logger log = LoggerFactory.getLogger(ProduceTest.class);
private static Path workingDir;
private static SparkSession spark;
private static LocalFileSystem fs;
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files.createTempDirectory(PrepareTest.class.getSimpleName());
fs = FileSystem.getLocal(new Configuration());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(ProduceTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(PrepareTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
@Disabled
void test3() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/fosnodoi/fosnodoi.csv")
.getPath();
final String outputPath = workingDir.toString() + "/fos.json";
GetFOSSparkJob
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", sourcePath,
"-outputPath", outputPath,
"-delimiter", ","
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<FOSDataModel> tmp = sc
.textFile(outputPath)
.map(item -> OBJECT_MAPPER.readValue(item, FOSDataModel.class));
tmp.foreach(t -> Assertions.assertTrue(t.getOaid() != null));
tmp.foreach(t -> Assertions.assertTrue(t.getLevel1() != null));
tmp.foreach(t -> Assertions.assertTrue(t.getLevel2() != null));
tmp.foreach(t -> Assertions.assertTrue(t.getLevel3() != null));
tmp.foreach(t -> System.out.println(new ObjectMapper().writeValueAsString(t)));
}
}

View File

@ -1,99 +0,0 @@
package eu.dnetlib.dhp.actionmanager.fosnodoi;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertTrue;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import org.apache.commons.io.FileUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.LocalFileSystem;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.PrepareFOSSparkJob;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.PrepareSDGSparkJob;
import eu.dnetlib.dhp.actionmanager.createunresolvedentities.ProduceTest;
import eu.dnetlib.dhp.schema.oaf.Result;
public class PrepareTest {
private static final Logger log = LoggerFactory.getLogger(ProduceTest.class);
private static Path workingDir;
private static SparkSession spark;
private static LocalFileSystem fs;
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files.createTempDirectory(PrepareTest.class.getSimpleName());
fs = FileSystem.getLocal(new Configuration());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(ProduceTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(PrepareTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void fosPrepareTest() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/fosnodoi/fosnodoi.json")
.getPath();
PrepareFOSSparkJob
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", sourcePath,
"-outputPath", workingDir.toString() + "/work",
"-distributeDoi", Boolean.FALSE.toString()
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Result> tmp = sc
.textFile(workingDir.toString() + "/work/fos")
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
tmp.foreach(t -> System.out.println(new ObjectMapper().writeValueAsString(t)));
}
}

View File

@ -76,7 +76,7 @@ public class CreateOpenCitationsASTest {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI/inputremap/jsonforas")
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
.getPath();
CreateActionSetSparkJob
@ -84,6 +84,8 @@ public class CreateOpenCitationsASTest {
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-shouldDuplicateRels",
Boolean.TRUE.toString(),
"-inputPath",
inputPath,
"-outputPath",
@ -97,10 +99,9 @@ public class CreateOpenCitationsASTest {
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
Assertions.assertEquals(27, tmp.count());
tmp.foreach(r -> Assertions.assertEquals(1, r.getCollectedfrom().size()));
assertEquals(31, tmp.count());
tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r)));
// tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r)));
}

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@ -1,90 +0,0 @@
package eu.dnetlib.dhp.actionmanager.opencitations;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import org.apache.commons.io.FileUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.LocalFileSystem;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.opencitations.model.COCI;
/**
* @author miriam.baglioni
* @Date 07/03/24
*/
public class RemapTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
private static final Logger log = LoggerFactory
.getLogger(RemapTest.class);
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files
.createTempDirectory(RemapTest.class.getSimpleName());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(RemapTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(RemapTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void testRemap() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI/inputremap")
.getPath();
MapOCIdsInPids
.main(
new String[] {
"-isSparkSessionManged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/out/",
"-nameNode", "input1;input2;input3;input4;input5"
});
}
}

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@ -1,324 +0,0 @@
package eu.dnetlib.dhp.actionmanager.transformativeagreement;
import static org.junit.jupiter.api.Assertions.assertEquals;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import org.apache.commons.io.FileUtils;
import org.apache.hadoop.io.Text;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob;
import eu.dnetlib.dhp.actionmanager.opencitations.CreateOpenCitationsASTest;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.utils.CleaningFunctions;
import eu.dnetlib.dhp.schema.oaf.utils.IdentifierFactory;
/**
* @author miriam.baglioni
* @Date 13/02/24
*/
public class CreateTAActionSetTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
private static final Logger log = LoggerFactory
.getLogger(CreateOpenCitationsASTest.class);
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files
.createTempDirectory(CreateTAActionSetTest.class.getSimpleName());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(CreateTAActionSetTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(CreateTAActionSetTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void createActionSet() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/transformativeagreement/facts.json")
.getPath();
eu.dnetlib.dhp.actionmanager.transformativeagreement.CreateActionSetSparkJob
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet1"
});
}
@Test
void testNumberofRelations2() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
.getPath();
eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet2"
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Relation> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet2", Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
assertEquals(23, tmp.count());
// tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r)));
}
@Test
void testRelationsCollectedFrom() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
.getPath();
eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet3"
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Relation> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet3", Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
tmp.foreach(r -> {
assertEquals(ModelConstants.OPENOCITATIONS_NAME, r.getCollectedfrom().get(0).getValue());
assertEquals(ModelConstants.OPENOCITATIONS_ID, r.getCollectedfrom().get(0).getKey());
});
}
@Test
void testRelationsDataInfo() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
.getPath();
eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet4"
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Relation> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet4", Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
tmp.foreach(r -> {
assertEquals(false, r.getDataInfo().getInferred());
assertEquals(false, r.getDataInfo().getDeletedbyinference());
assertEquals("0.91", r.getDataInfo().getTrust());
assertEquals(
eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob.OPENCITATIONS_CLASSID,
r.getDataInfo().getProvenanceaction().getClassid());
assertEquals(
eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob.OPENCITATIONS_CLASSNAME,
r.getDataInfo().getProvenanceaction().getClassname());
assertEquals(ModelConstants.DNET_PROVENANCE_ACTIONS, r.getDataInfo().getProvenanceaction().getSchemeid());
assertEquals(ModelConstants.DNET_PROVENANCE_ACTIONS, r.getDataInfo().getProvenanceaction().getSchemename());
});
}
@Test
void testRelationsSemantics() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
.getPath();
eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet5"
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Relation> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet5", Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
tmp.foreach(r -> {
assertEquals("citation", r.getSubRelType());
assertEquals("resultResult", r.getRelType());
});
assertEquals(23, tmp.filter(r -> r.getRelClass().equals("Cites")).count());
assertEquals(0, tmp.filter(r -> r.getRelClass().equals("IsCitedBy")).count());
}
@Test
void testRelationsSourceTargetPrefix() throws Exception {
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
.getPath();
eu.dnetlib.dhp.actionmanager.opencitations.CreateActionSetSparkJob
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet6"
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Relation> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet6", Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
tmp.foreach(r -> {
assertEquals("50|doi_________::", r.getSource().substring(0, 17));
assertEquals("50|doi_________::", r.getTarget().substring(0, 17));
});
}
@Test
void testRelationsSourceTargetCouple() throws Exception {
final String doi1 = "50|doi_________::"
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1007/s10854-015-3684-x"));
final String doi2 = "50|doi_________::"
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1111/j.1551-2916.2008.02408.x"));
final String doi3 = "50|doi_________::"
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1007/s10854-014-2114-9"));
final String doi4 = "50|doi_________::"
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1016/j.ceramint.2013.09.069"));
final String doi5 = "50|doi_________::"
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1007/s10854-009-9913-4"));
final String doi6 = "50|doi_________::"
+ IdentifierFactory.md5(CleaningFunctions.normalizePidValue("doi", "10.1016/0038-1098(72)90370-5"));
String inputPath = getClass()
.getResource(
"/eu/dnetlib/dhp/actionmanager/opencitations/COCI")
.getPath();
CreateActionSetSparkJob
.main(
new String[] {
"-isSparkSessionManaged",
Boolean.FALSE.toString(),
"-inputPath",
inputPath,
"-outputPath",
workingDir.toString() + "/actionSet7"
});
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Relation> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet7", Text.class, Text.class)
.map(value -> OBJECT_MAPPER.readValue(value._2().toString(), AtomicAction.class))
.map(aa -> ((Relation) aa.getPayload()));
JavaRDD<Relation> check = tmp.filter(r -> r.getSource().equals(doi1) || r.getTarget().equals(doi1));
assertEquals(5, check.count());
// check.foreach(r -> {
// if (r.getSource().equals(doi2) || r.getSource().equals(doi3) || r.getSource().equals(doi4) ||
// r.getSource().equals(doi5) || r.getSource().equals(doi6)) {
// assertEquals(ModelConstants.IS_CITED_BY, r.getRelClass());
// assertEquals(doi1, r.getTarget());
// }
// });
assertEquals(5, check.filter(r -> r.getSource().equals(doi1)).count());
check.filter(r -> r.getSource().equals(doi1)).foreach(r -> assertEquals(ModelConstants.CITES, r.getRelClass()));
}
}

View File

@ -2,7 +2,6 @@
package eu.dnetlib.dhp.collection.orcid;
import java.io.IOException;
import java.net.URI;
import java.util.Arrays;
import java.util.List;
import java.util.Objects;
@ -10,12 +9,7 @@ import java.util.Objects;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.LocalFileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.SequenceFile;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.compress.CompressionCodec;
import org.apache.hadoop.io.compress.CompressionCodecFactory;
import org.apache.spark.SparkContext;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.Encoders;
@ -33,7 +27,6 @@ import com.ximpleware.XPathParseException;
import eu.dnetlib.dhp.collection.orcid.model.Author;
import eu.dnetlib.dhp.collection.orcid.model.ORCIDItem;
import eu.dnetlib.dhp.collection.orcid.model.Work;
import eu.dnetlib.dhp.parser.utility.VtdException;
public class DownloadORCIDTest {
@ -89,34 +82,6 @@ public class DownloadORCIDTest {
});
}
@Test
public void testParsingOrcidUpdateEmployments() throws Exception {
final String xml = IOUtils
.toString(
Objects
.requireNonNull(
getClass().getResourceAsStream("/eu/dnetlib/dhp/collection/orcid/update_employments.xml")));
final OrcidParser parser = new OrcidParser();
final ObjectMapper mapper = new ObjectMapper();
System.out.println(mapper.writeValueAsString(parser.parseEmployments(xml)));
}
@Test
public void testParsingOrcidUpdateWorks() throws Exception {
final String xml = IOUtils
.toString(
Objects
.requireNonNull(
getClass().getResourceAsStream("/eu/dnetlib/dhp/collection/orcid/update_work.xml")));
final OrcidParser parser = new OrcidParser();
final List<Work> works = parser.parseWorks(xml);
final ObjectMapper mapper = new ObjectMapper();
System.out.println(mapper.writeValueAsString(works));
}
@Test
public void testParsingEmployments() throws Exception {

View File

@ -1,8 +1,6 @@
package eu.dnetlib.dhp.collection.plugin.base;
import static org.junit.jupiter.api.Assertions.assertThrows;
import java.io.IOException;
import org.apache.commons.io.IOUtils;
@ -65,21 +63,6 @@ public class BaseTransfomationTest extends AbstractVocabularyTest {
System.out.println(result.getBody());
}
@Test
void testBase2ODF_wrong_date() throws Exception {
final MetadataRecord mr = new MetadataRecord();
mr.setProvenance(new Provenance("DSID", "DSNAME", "PREFIX"));
mr.setBody(IOUtils.toString(getClass().getResourceAsStream("record_wrong_1.xml")));
final XSLTTransformationFunction tr = loadTransformationRule("xml/base2oaf.transformationRule.xml");
assertThrows(NullPointerException.class, () -> {
final MetadataRecord result = tr.call(mr);
System.out.println(result.getBody());
});
}
private XSLTTransformationFunction loadTransformationRule(final String path) throws Exception {
final String xslt = new SAXReader()
.read(this.getClass().getResourceAsStream(path))

View File

@ -9,7 +9,6 @@ import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.common.collection.CollectorException;
import eu.dnetlib.dhp.common.collection.HttpClientParams;
/**
@ -38,7 +37,7 @@ public class RestIteratorTest {
@Disabled
@Test
public void test() throws CollectorException {
public void test() {
HttpClientParams clientParams = new HttpClientParams();

View File

@ -1,48 +0,0 @@
package eu.dnetlib.dhp.collection.plugin.utils;
import static org.junit.jupiter.api.Assertions.assertEquals;
import org.junit.jupiter.api.Test;
class JsonUtilsTest {
static private String wrapped(String xml) {
return "<?xml version=\"1.0\" encoding=\"UTF-8\"?><recordWrap>" + xml + "</recordWrap>";
}
@Test
void keyStartWithDigit() {
assertEquals(
wrapped("<m_100><n_200v>null</n_200v></m_100>"),
JsonUtils.convertToXML("{\"100\" : {\"200v\" : null}}"));
}
@Test
void keyStartWithSpecialchars() {
assertEquals(
wrapped("<_parent><_nest1><_nest2>null</_nest2></_nest1></_parent>"),
JsonUtils.convertToXML("{\" parent\" : {\"-nest1\" : {\".nest2\" : null}}}"));
}
@Test
void encodeArray() {
assertEquals(
wrapped("<_parent.child>1</_parent.child><_parent.child>2</_parent.child>"),
JsonUtils.convertToXML("{\" parent.child\":[1, 2]}"));
}
@Test
void arrayOfObjects() {
assertEquals(
wrapped("<parent><id>1</id></parent><parent><id>2</id></parent>"),
JsonUtils.convertToXML("{\"parent\": [{\"id\": 1}, {\"id\": 2}]}"));
}
@Test
void removeControlCharacters() {
assertEquals(
wrapped("<m_100><n_200v>Test</n_200v></m_100>"),
JsonUtils.convertToXML("{\"100\" : {\"200v\" : \"\\u0000\\u000cTest\"}}"));
}
}

View File

@ -3,7 +3,6 @@ package eu.dnetlib.dhp.transformation;
import static eu.dnetlib.dhp.common.Constants.MDSTORE_DATA_PATH;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertThrows;
import java.io.IOException;
import java.nio.file.Path;
@ -280,19 +279,6 @@ class TransformationJobTest extends AbstractVocabularyTest {
// TODO Create significant Assert
}
@Test
public void testInvalidXSLT() throws Exception{
final MetadataRecord mr = new MetadataRecord();
mr.setProvenance(new Provenance("openaire____::cnr_explora", "CNR ExploRA", "cnr_________"));
mr.setBody(IOUtils.toString(getClass().getResourceAsStream("/eu/dnetlib/dhp/transform/input_cnr_explora.xml")));
// We Load the XSLT transformation Rule from the classpath
final XSLTTransformationFunction tr = loadTransformationRule("/eu/dnetlib/dhp/transform/invalid.xslt");
assertThrows(RuntimeException.class,()->tr.call(mr));
}
private XSLTTransformationFunction loadTransformationRule(final String path) throws Exception {
final String trValue = IOUtils.toString(this.getClass().getResourceAsStream(path));
final LongAccumulator la = new LongAccumulator();

View File

@ -1,19 +0,0 @@
DOI,OAID,level1,level2,level3,level4,score_for_L3,score_for_L4
N/A,78975075580c::e680668c98366c9cd6349afc62486a7f,03 medical and health sciences,0301 basic medicine,030104 developmental biology,N/A,0.5,0.0
N/A,78975075580c::e680668c98366c9cd6349afc62486a7f,03 medical and health sciences,0303 health sciences,030304 developmental biology,N/A,0.5,0.0
N/A,od______2806::a1da9d2678b12969a9ab5f50b5e71d0a,05 social sciences,0501 psychology and cognitive sciences,050109 social psychology,05010904 Group processes/Collective identity,0.5589094161987305,0.5166763067245483
N/A,od______2806::a1da9d2678b12969a9ab5f50b5e71d0a,05 social sciences,0501 psychology and cognitive sciences,050105 experimental psychology,05010501 Emotion/Affective science,0.44109055399894714,0.4833236634731293
N/A,doajarticles::76535d77fd2a5fe9810aefafffb8ef6c,05 social sciences,0502 economics and business,050203 business & management,05020302 Supply chain management/Business terms,0.5459638833999634,0.5460261106491089
N/A,doajarticles::76535d77fd2a5fe9810aefafffb8ef6c,05 social sciences,0502 economics and business,050211 marketing,05021102 Services marketing/Retailing,0.4540362060070038,0.4539738595485687
N/A,od_______156::a3a0119c6d9d3a66943f8da042e97a5e,01 natural sciences,0105 earth and related environmental sciences,010504 meteorology & atmospheric sciences,01050407 Geomagnetism/Ionosphere,0.5131047964096069,0.4990350902080536
N/A,od_______156::a3a0119c6d9d3a66943f8da042e97a5e,01 natural sciences,0105 earth and related environmental sciences,010502 geochemistry & geophysics,01050203 Seismology/Seismology measurement,0.4868951737880707,0.500964879989624
N/A,od______2806::4b9a664dd6b8b04204cb613e7bc9c873,03 medical and health sciences,0302 clinical medicine,030220 oncology & carcinogenesis,03022002 Medical imaging/Medical physics,0.5068133473396301,0.10231181626910052
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