From 9bb69ebf6c94e53ecbad1b80579733d6c033742e Mon Sep 17 00:00:00 2001 From: Alban Gaignard Date: Fri, 28 Jun 2024 14:38:06 +0200 Subject: [PATCH 1/8] updated OLS url --- metrics/util.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metrics/util.py b/metrics/util.py index c45d28a1..580c2b4f 100644 --- a/metrics/util.py +++ b/metrics/util.py @@ -305,7 +305,7 @@ def ask_OLS(uri): p = {"iri": uri} # TODO we are only checking for properties and not classes, to be fixed. res = requests.get( - "https://www.ebi.ac.uk/ols/api/properties", headers=h, params=p, verify=True + "https://www.ebi.ac.uk/ols4/api/properties", headers=h, params=p, verify=True ) if res.status_code == 200: From d729d35fc7934a8e2145eb1ba470e8c0189d5c84 Mon Sep 17 00:00:00 2001 From: Alban Gaignard Date: Fri, 28 Jun 2024 14:38:49 +0200 Subject: [PATCH 2/8] test external services --- tests/test_vocab.py | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/tests/test_vocab.py b/tests/test_vocab.py index bde6942b..a48cda30 100644 --- a/tests/test_vocab.py +++ b/tests/test_vocab.py @@ -1,11 +1,22 @@ import unittest from datetime import datetime from rdflib import BNode, ConjunctiveGraph, URIRef +import requests import metrics.util as util from metrics.WebResource import WebResource +from app import app class CommunityVocabTestCase(unittest.TestCase): + + def setUp(self): + self.app_context = app.app_context() + self.app_context.push() + print("setup") + + def tearDown(self): + self.app_context.pop() + @classmethod def tearDownModule(cls) -> None: super().tearDownModule() @@ -92,6 +103,17 @@ def tearDownModule(cls) -> None: SELECT DISTINCT ?prop { ?s ?prop ?o } ORDER BY ?prop """ + def test_status_external_services(self): + STATUS_BIOPORTAL = requests.head("https://bioportal.bioontology.org/").status_code + STATUS_OLS = requests.head("https://www.ebi.ac.uk/ols4/index").status_code + STATUS_LOV = requests.head( + "https://lov.linkeddata.es/dataset/lov/sparql" + ).status_code + + self.assertEqual(STATUS_BIOPORTAL, 200) + self.assertEqual(STATUS_LOV, 200) + self.assertEqual(STATUS_OLS, 200) + def test_OLS(self): print(util.cache_OLS.values) From 6eaf3955c048f000828d9f2ae8f4809ef0e169ba Mon Sep 17 00:00:00 2001 From: Alban Gaignard Date: Fri, 28 Jun 2024 16:54:23 +0200 Subject: [PATCH 3/8] minor wording update --- app.py | 63 ++++++++++------------------------------------------------ 1 file changed, 11 insertions(+), 52 deletions(-) diff --git a/app.py b/app.py index ac7f8ecb..2f324a38 100644 --- a/app.py +++ b/app.py @@ -374,8 +374,16 @@ def home(): def about(): return render_template( "about.html", - title="About", - subtitle="More about FAIR-Checker", + title="About us", + #subtitle="More about FAIR-Checker", + ) + + +@app.route("/terms") +def terms(): + return render_template( + "terms.html", + title="Terms of use", ) @@ -1818,28 +1826,6 @@ def base_metrics(): content_uuid = str(uuid.uuid1()) DICT_TEMP_RES[content_uuid] = "" - # print(str(session.items())) - # sid = request.sid - # return render_template('test_asynch.html') - # metrics = [] - # - # metrics_res = METRICS_RES - # - # for metric in metrics_res: - # # remove "FAIR Metrics Gen2" from metric name - # name = metric["name"].replace('FAIR Metrics Gen2- ','') - # # same but other syntax because of typo - # name = name.replace('FAIR Metrics Gen2 - ','') - # metrics.append({ - # "name": name, - # "description": metric["description"], - # "api_url": metric["smarturl"], - # "id": "metric_" + metric["@id"].rsplit('/', 1)[-1], - # "principle": metric["principle"], - # "principle_tag": metric["principle"].rsplit('/', 1)[-1], - # "principle_category": metric["principle"].rsplit('/', 1)[-1][0], - # }) - raw_jld = buildJSONLD() metrics = [] @@ -1860,24 +1846,6 @@ def base_metrics(): } ) - # for key in METRICS.keys(): - # print() - # metrics.append( - # { - # "name": METRICS[key].get_name(), - # "implem": METRICS[key].get_implem(), - # "description": METRICS[key].get_desc(), - # "api_url": METRICS[key].get_api(), - # "id": "metric_" + METRICS[key].get_id().rsplit("/", 1)[-1], - # "principle": METRICS[key].get_principle(), - # "principle_tag": METRICS[key].get_principle().rsplit("/", 1)[-1], - # "principle_category": METRICS[key] - # .get_principle() - # .rsplit("/", 1)[-1][0], - # } - # ) - - # response = return make_response( render_template( "check.html", @@ -1886,18 +1854,9 @@ def base_metrics(): jld=raw_jld, uuid=content_uuid, title="Check", - subtitle="How FAIR is my resource ?", + subtitle="FAIR assessment of web resources", ) ) - # )).headers.add('Access-Control-Allow-Origin', '*') - - -# @app.after_request -# def after_request(response): -# response.headers.add('Access-Control-Allow-Origin', '*') -# response.headers.add('Access-Control-Allow-Headers', 'Content-Type,Authorization') -# response.headers.add('Access-Control-Allow-Methods', 'GET,PUT,POST,DELETE,OPTIONS') -# return response @app.route("/inspect") From 3462f511f0d4373c71ab2647c019bba3118d3c86 Mon Sep 17 00:00:00 2001 From: Alban Gaignard Date: Fri, 28 Jun 2024 16:57:09 +0200 Subject: [PATCH 4/8] usage stat scripts --- data/usage_stats.json | 2 +- domains.csv | 1361 +++++++++++ months.csv | 2 + notebooks/FAIRChecker_spec_AG_V2.py | 433 ++++ notebooks/FAIRness evaluation - Dekalog.ipynb | 2103 +++++++++++++++++ notebooks/boxplot.png | Bin 60248 -> 71629 bytes notebooks/fairchecker_dekalog_evals.csv | 14 + notebooks/fc_dekalog_evals.csv | 14 + notebooks/stats/Usage Statistics.ipynb | 1022 ++++++++ notebooks/stats/cumulated_evals.py | 43 + notebooks/stats/cumulated_months.csv | 2 + notebooks/stats/cumulative_count.pdf | Bin 0 -> 14759 bytes notebooks/stats/cumulative_count.png | Bin 0 -> 158236 bytes notebooks/stats/cumulative_count_log.png | Bin 0 -> 152438 bytes notebooks/stats/cumulative_evals.csv | 2 + notebooks/stats/cumulative_evals.py | 48 + notebooks/{ => stats}/genStats.sh | 0 notebooks/{ => stats}/gen_stats.py | 0 notebooks/{ => stats}/monthly.pdf | Bin notebooks/{ => stats}/monthly.png | Bin notebooks/{ => stats}/months.csv | 0 notebooks/stats/stats.png | Bin 0 -> 9599 bytes notebooks/stats/stats_m.png | Bin 0 -> 85160 bytes notebooks/stats/year.csv | 2 + static/favicon.ico | Bin 135230 -> 35720 bytes static/favicon_4.ico | Bin 0 -> 135230 bytes static/images/logo-FAIR-Checker.png | Bin 0 -> 121362 bytes stats.png | Bin 0 -> 9286 bytes stats_m.png | Bin 0 -> 52993 bytes usage_stats.json | 1 + year.csv | 2 + 31 files changed, 5050 insertions(+), 1 deletion(-) create mode 100644 domains.csv create mode 100644 months.csv create mode 100644 notebooks/FAIRChecker_spec_AG_V2.py create mode 100644 notebooks/FAIRness evaluation - Dekalog.ipynb create mode 100644 notebooks/fairchecker_dekalog_evals.csv create mode 100644 notebooks/fc_dekalog_evals.csv create mode 100644 notebooks/stats/Usage Statistics.ipynb create mode 100644 notebooks/stats/cumulated_evals.py create mode 100644 notebooks/stats/cumulated_months.csv create mode 100644 notebooks/stats/cumulative_count.pdf create mode 100644 notebooks/stats/cumulative_count.png create mode 100644 notebooks/stats/cumulative_count_log.png create mode 100644 notebooks/stats/cumulative_evals.csv create mode 100644 notebooks/stats/cumulative_evals.py rename notebooks/{ => stats}/genStats.sh (100%) rename notebooks/{ => stats}/gen_stats.py (100%) rename notebooks/{ => stats}/monthly.pdf (100%) rename notebooks/{ => stats}/monthly.png (100%) rename notebooks/{ => stats}/months.csv (100%) create mode 100644 notebooks/stats/stats.png create mode 100644 notebooks/stats/stats_m.png create mode 100644 notebooks/stats/year.csv create mode 100644 static/favicon_4.ico create mode 100644 static/images/logo-FAIR-Checker.png create mode 100644 stats.png create mode 100644 stats_m.png create mode 100644 usage_stats.json create mode 100644 year.csv diff --git a/data/usage_stats.json b/data/usage_stats.json index 6518dfd2..de83e542 100644 --- a/data/usage_stats.json +++ b/data/usage_stats.json @@ -1 +1 @@ -{"evals_30": 132, "success_30": 103, "failures_30": 29, "f_success_30": 45, "f_failures_30": 3, "a_success_30": 12, "a_failures_30": 0, "i_success_30": 33, "i_failures_30": 3, "r_success_30": 13, "r_failures_30": 23, "total_monthly": [{"x": "2022-01", "y": 141}, {"x": "2022-02", "y": 26}, {"x": "2022-03", "y": 66}, {"x": "2022-05", "y": 48}, {"x": "2022-08", "y": 12}, {"x": "2022-09", "y": 45}, {"x": "2022-10", "y": 11}, {"x": "2023-01", "y": 11}, {"x": "2023-03", "y": 110}, {"x": "2023-04", "y": 22}]} \ No newline at end of file +{"evals_30": 12, "success_30": 12, "failures_30": 0, "f_success_30": 4, "f_failures_30": 0, "a_success_30": 2, "a_failures_30": 0, "i_success_30": 3, "i_failures_30": 0, "r_success_30": 3, "r_failures_30": 0, "total_monthly": [{"x": "2022-08", "y": 12}, {"x": "2022-09", "y": 45}, {"x": "2022-10", "y": 11}, {"x": "2023-01", "y": 11}, {"x": "2023-03", "y": 110}, {"x": "2023-04", "y": 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+352,www.bexis.uni-jena.de,2 +1121,ualdt.org.ua,2 +586,openehr.atlassian.net,2 +761,www.geodata.cn,2 +481,www.archiviodistato.prato.it,2 +585,owlready2.readthedocs.io,2 diff --git a/months.csv b/months.csv new file mode 100644 index 00000000..1f54d52c --- /dev/null +++ b/months.csv @@ -0,0 +1,2 @@ +,2019-01,2019-02,2019-03,2019-04,2019-05,2019-06,2019-07,2019-08,2019-09,2019-10,2019-11,2019-12,2020-01,2020-02,2020-03,2020-04,2020-05,2020-06,2020-07,2020-08,2020-09,2020-10,2020-11,2020-12,2021-01,2021-02,2021-03,2021-04,2021-05,2021-06,2021-07,2021-08,2021-09,2021-10,2021-11,2021-12,2022-01,2022-02,2022-03,2022-04,2022-05,2022-06,2022-07,2022-08,2022-09,2022-10,2022-11,2022-12,2023-01,2023-02,2023-03,2023-04,2023-05,2023-06,2023-07,2023-08,2023-09,2023-10,2023-11,2023-12,2024-01,2024-02,2024-03,2024-04,2024-05,2024-06,2024-07,2024-08,2024-09,2024-10,2024-11,2024-12 +0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,474,447,1200,1442,4938,5026,3809,2130,571,2113,1817,2354,1300,1035,1983,2549,10992,956,1409,1040,3205,1037,2620,1681,969,11444,6217,83991,201953,17021,220360,17873,237317,62410,2327,17780,68672,41851,84868,18504,16745,649645,0,0,0,0,0,0,0 diff --git a/notebooks/FAIRChecker_spec_AG_V2.py b/notebooks/FAIRChecker_spec_AG_V2.py new file mode 100644 index 00000000..b03188ad --- /dev/null +++ b/notebooks/FAIRChecker_spec_AG_V2.py @@ -0,0 +1,433 @@ +# Représentation de FAIRChecker_V2 +# Nouvelle version + +# Auteur....................... : Philippe Lamarre +# date de création............. : 22 mai 2024 +# date de dernière modification : mercredi 12 juin + +from TSoR import * + +from Measures.FAIRPrinciples import FAIR +from sympy import Symbol + + +# ======================================================================================= +# ======================================================================================= +# Mesure FAIRChecker_V2 +# ======================================================================================= +# ======================================================================================= + +# Convention de nommage : les noms des nœuds (et des variables) commencent par FC_ +# ---------------------- +# Structure d'analyse +# ---------------------- +FAIRChecker_V2 = FAIR.duplicate( + name = "FAIRChecker_V2", + Description = """FAIR-Checker is a tool aimed at assessing FAIR principles and empowering data provider to enhance the quality of their digital resources. + +Data providers and consumers can check how FAIR are web resources. Developers can explore and inspect metadata exposed in web resources.""", + URL = "https://fair-checker.france-bioinformatique.fr", + Prefixes = { + "sd" : "@prefix sd: .", + "xsd" : "@prefix xsd: .", + "rdf" : "@prefix rdf: .", + "rdfs" : "@prefix rdfs: .", + "dct" : "@prefix dct: .", + "doap" : "@prefix doap: .", + "earl" : "@prefix earl: .", + "kgi" : "@prefix kgi: .", + "prov" : "@prefix prov: .", + "mf" : "@prefix mf: .", + "dataid" : "@prefix dataid: .", + "dcat" : "@prefix dcat: .", + "dce" : "@prefix dce: .", + "dct" : "@prefix dct: .", + "dqv" : "@prefix dqv: .", + "foaf" : "@prefix foaf: .", + "pav" : "@prefix pav: .", + "schema" : "@prefix schema: .", + "void" : "@prefix void: .", + "odrl" : "@prefix odrl: " + }, + EquivalentPropertiesMeasure = [], + WeightPrinciple = "equivalentRequirements" +) + + + + + + +# ---------------------- +# Requirements +# ---------------------- + +## description des requirements et ajout dans le dictionnaire +FC_R_F1A = Requirement("FC_R_F1A", + Description = """FAIRChecker checks that the resource identifier is a reachable URL. It's better if the URL is persistent (WebID, PURL or DOI).""", + URL = "https://fair-checker.france-bioinformatique.fr/check" +) +FC_R_F1B = Requirement("FC_R_F1B", + Description= """Weak : FAIR-Checker verifies that at least one namespace from identifiers.org is used in metadata. + +Strong : FAIR-Checker verifies that the “identifier” property from DCTerms or Schema.org vocabularies is present in metadata.""", + URL = "https://fair-checker.france-bioinformatique.fr/check" +) +FC_R_F2A = Requirement("FC_R_F2A", + Description= """For weak assessment, FAIR-Checker verifies that at least one RDF triple can be found in metadata. For strong assessment, it searches for at least one property in dct:title dct:description dct:accessURL dct:downloadURL dcat:endpointURL dcat:endpointDescription.""", + URL = "https://fair-checker.france-bioinformatique.fr/check" +) +FC_R_F2B = Requirement("FC_R_F2B", + Description = """Description: +Weak: FAIR-Checker verifies that at least one used ontology class or property are known in major ontology registries (OLS, BioPortal, LOV) + +Strong: FAIR-Checker verifies that all used ontology classes or properties are known in major ontology registries (OLS, BioPortal, LOV)""", + URL = "https://fair-checker.france-bioinformatique.fr/check" +) + + + +FC_R_A1_1 = Requirement("FC_R_A1.1", + Description = """FAIR-Checker verifies that the resource is accessible via an open protocol, for instance the protocol needs to be HTTP.""", + URL = "https://fair-checker.france-bioinformatique.fr/check" +) +FC_R_A1_2 = Requirement("FC_R_A1.2", + Description = """The protocol allows for an authentication and authorisation procedure where necessary. +FAIR-Checker verifies if access rights are specified in metadata through terms odrl:hasPolicy, dct:rights, dct:accessRights, or dct:license.""", + URL = "https://fair-checker.france-bioinformatique.fr/check" +) + + + + +FC_R_I1 = Requirement("FC_R_I1", + Description = """FAIR-Checker verifies that at least one RDF triple can be found in metadata.""", + URL = "https://fair-checker.france-bioinformatique.fr/check" +) +FC_R_I2 = Requirement("FC_R_I2", + Description = """Weak: FAIR-Checker verifies that at least one used ontology class or property are known in major ontology registries (OLS, BioPortal, LOV) + +Strong: FAIR-Checker verifies that all used ontology classes or properties are known in major ontology registries (OLS, BioPortal, LOV)""", + URL = "https://fair-checker.france-bioinformatique.fr/check" +) +FC_R_I3 = Requirement("FC_R_I3", + Description = """FAIR-Checker verifies that at least 3 different URL authorities are used in the URLs of RDF metadata.""", + URL = "https://fair-checker.france-bioinformatique.fr/check" +) + + + + +FC_R_R1_1 = Requirement("FC_R_R1.1", + Description = """Metadata includes license. +FAIR-Checker verifies that at least one license property from Schema.org, DCTerms, or DOAP ontologies are found in metadata.""", + URL = "https://fair-checker.france-bioinformatique.fr/check" +) +FC_R_R1_2 = Requirement("FC_R_R1.2", + Description = """Metadata includes provenance. +FAIR-Checker verifies that at least one provenance property from PROV, DCTerms, or PAV ontologies are found in metadata.""", + URL = "https://fair-checker.france-bioinformatique.fr/check" +) +FC_R_R1_3 = Requirement("FC_R_R1.3", + Description = """Weak: FAIR-Checker verifies that at least one used ontology class or property are known in major ontology registries (OLS, BioPortal, LOV) + +Strong: FAIR-Checker verifies that all used ontology classes or properties are known in major ontology registries (OLS, BioPortal, LOV)""", + URL = "https://fair-checker.france-bioinformatique.fr/check" +) + + +# positionnement dans l'arbre + +FAIRChecker_V2["Findable"]["F1"].requires(FC_R_F1A) +FAIRChecker_V2["Findable"]["F1"].requires(FC_R_F1B) +FAIRChecker_V2["Findable"]["F2"].requires(FC_R_F2A) +FAIRChecker_V2["Findable"]["F2"].requires(FC_R_F2B) + +FAIRChecker_V2["Accessible"]["A1"]["A1.1"].requires(FC_R_A1_1) +FAIRChecker_V2["Accessible"]["A1"]["A1.2"].requires(FC_R_A1_2) + +FAIRChecker_V2["Interoperable"]["I1"].requires(FC_R_I1) +FAIRChecker_V2["Interoperable"]["I2"].requires(FC_R_I2) +FAIRChecker_V2["Interoperable"]["I3"].requires(FC_R_I3) + +FAIRChecker_V2["Reusable"]["R1"]["R1.1"].requires(FC_R_R1_1) +FAIRChecker_V2["Reusable"]["R1"]["R1.2"].requires(FC_R_R1_2) +FAIRChecker_V2["Reusable"]["R1"]["R1.3"].requires(FC_R_R1_3) + + + + + +# ---------------------- +# Implémentations +# ---------------------- +# Implémentations de FAIRChecker_V2 : +# -------------------------------------- +FC_I_F1A = Implementation("FC_I_F1A", + Version = None, # not found in the code + URL = "https://github.com/IFB-ElixirFr/FAIR-checker/blob/master/metrics/F1A_Impl.py", + MinimalPatternsForSuccess ={ + 0: [["# FC_I_F1A > Status code is different than 200, thus, the resource is not reachable."]], + 1: [[]], + 2 : [["# FC_I_F1A > Status code is OK, meaning the url is Unique."]] + }, + ScoreMin = 0, # to be set + ScoreMax = 2 , # to be set + ScoreIntervalNature = "Discrete", + NbPossibleScores = 2, + observedProbabilityOfSuccess =None, # Probabilité de succès observée pour cette immplentation + probabilityOfSuccess =None # Probabilité de succès utilisée pour les random pour cette immplentation +) + + + +FC_I_F1B = Implementation("FC_I_F1B", + Version ="", + URL = "https://github.com/IFB-ElixirFr/FAIR-checker/blob/master/metrics/F1B_Impl.py", + MinimalPatternsForSuccess ={ + 0: [[]], + 1: [["# FC_I_F1B > at least one namespace from identifiers.org is used in metadata"]], + 2 : [["# FC_I_F1B > ", "?sIdentifier dct:identifier ?oIdentifier ."]] + }, + EquivalentPropertiesImplem = [{"dct:identifier", "schema:identifier"}], + + ScoreMin = 0, # to be set + ScoreMax = 2 , # to be set + ScoreIntervalNature = "Discrete", + NbPossibleScores = 3, + observedProbabilityOfSuccess =None, # Probabilité de succès observée pour cette immplentation + probabilityOfSuccess =None # Probabilité de succès utilisée pour les random pour cette immplentation + ) +FC_I_F2A = Implementation("FC_I_F2A", + Version ="", + URL = "https://github.com/IFB-ElixirFr/FAIR-checker/blob/master/metrics/F2A_Impl.py", + MinimalPatternsForSuccess ={ + 0: [[]], + 1: [["# FC_I_F2A > one triple in metadata"]], + 2: [["# FC_I_F2A > ", "?sTitle dct:title ?oTitle ."]] + }, + EquivalentPropertiesImplem = [{"dct:title", "dct:description", "dcat:accessURL", "dcat:downloadURL", "dcat:endpointDescription", "dcat:endpointURL"}], + + ScoreMin = 0, + ScoreMax = 2 , + ScoreIntervalNature = "Discrete", + NbPossibleScores = 3, + observedProbabilityOfSuccess =None, # Probabilité de succès observée pour cette immplentation + probabilityOfSuccess =None # Probabilité de succès utilisée pour les random pour cette immplentation + ) +FC_I_F2B = Implementation("FC_I_F2B", + Version ="", + URL = "https://github.com/IFB-ElixirFr/FAIR-checker/blob/master/metrics/F2B_Impl.py", + MinimalPatternsForSuccess ={ + 0: [["# FC_I_F2B > No classes and properties are known in major ontology registries (OLS, BioPortal, LOV)"]], + 1: [["# FC_I_F2B > at least one used ontology classe or property known in major ontology registries (OLS, BioPortal, LOV)"]], + 2 : [["# FC_I_F2B > All classes and properties are known in major ontology registries (OLS, BioPortal, LOV)"]] + }, + ScoreMin = 0, + ScoreMax = 2, + ScoreIntervalNature = "Discrete", + NbPossibleScores = 3, + observedProbabilityOfSuccess =None, # Probabilité de succès observée pour cette immplentation + probabilityOfSuccess =None # Probabilité de succès utilisée pour les random pour cette immplentation + ) +FC_I_A1_1 = Implementation("FC_I_A1.1", + Version ="", + URL = "https://github.com/IFB-ElixirFr/FAIR-checker/blob/master/metrics/A11_Impl.py", + MinimalPatternsForSuccess ={ + 0: [["# FC_I_A1.1 > The resource seems to not be using HTTP protocol, or can't be found: 404 error"]], + 1: [[]], + 2 : [["# FC_I_A1.1 > The resource uses HTTP protocol"]] + }, + ScoreMin = 0, + ScoreMax = 2, + ScoreIntervalNature = "Discrete", + NbPossibleScores = 2, + observedProbabilityOfSuccess =None, # Probabilité de succès observée pour cette immplentation + probabilityOfSuccess =None # Probabilité de succès utilisée pour les random pour cette immplentation + ) +FC_I_A1_2 = Implementation("FC_I_A1.2", + Version ="", + URL = "https://github.com/IFB-ElixirFr/FAIR-checker/blob/master/metrics/A12_Impl.py", + MinimalPatternsForSuccess ={ + 0: [[]], + 1: [[]], + 2 : [["# FC_I_A1.2 > ", "?sLicense dct:license ?oLicense ."]] + }, + EquivalentPropertiesImplem = [{"odrl:hasPolicy", "dct:rights", "dct:accessRights", "dct:license", "schema:license"}], + + ScoreMin = 0, + ScoreMax = 2 , + ScoreIntervalNature = "Discrete", + NbPossibleScores = 2, + observedProbabilityOfSuccess =None, # Probabilité de succès observée pour cette immplentation + probabilityOfSuccess =None # Probabilité de succès utilisée pour les random pour cette immplentation + ) + + + +FC_I_I1 = Implementation("FC_I_I1", + Version ="", + URL = "https://github.com/IFB-ElixirFr/FAIR-checker/blob/master/metrics/I1A_Impl.py", + MinimalPatternsForSuccess ={ + 0: [[]], + 1: [["# FC_I_F2A > one triple in metadata"]], + 2: [["# FC_I_F2A > ", "?sTitle dct:title ?oTitle ."]] + }, + ScoreMin = 0, + ScoreMax = 2 , + ScoreIntervalNature = "Discrete", + NbPossibleScores = 3, + observedProbabilityOfSuccess =None, # Probabilité de succès observée pour cette immplentation + probabilityOfSuccess =None # Probabilité de succès utilisée pour les random pour cette immplentation + ) + + + +FC_I_I2 = Implementation("FC_I_I2", + Version ="", + URL = "", + MinimalPatternsForSuccess ={ + 0: [[]], + 1: [["# FC_I_I2 > at least one used ontology class or property are known in major ontology registries (OLS, BioPortal, LOV)"]], + 2: [["# FC_I_I2 > all used ontology classes or properties are known in major ontology registries (OLS, BioPortal, LOV)"]] + }, + ScoreMin = 0, + ScoreMax = 2 , + ScoreIntervalNature = "Discrete", + NbPossibleScores = 3, + observedProbabilityOfSuccess =None, # Probabilité de succès observée pour cette immplentation + probabilityOfSuccess =None # Probabilité de succès utilisée pour les random pour cette immplentation + ) + +FC_I_I3 = Implementation("FC_I_I3", + Version ="", + URL = "https://github.com/IFB-ElixirFr/FAIR-checker/blob/master/metrics/I3_Impl.py", + MinimalPatternsForSuccess ={ + 0: [[]], + 1: [[]], + 2 : [["# FC_I_I3 > At least 3 different domains were found in metadata", + """ dct:title "La Joconde" .""", + """ dct:subject .""", + """ dct:title "For example" .""" + ]] + }, + ScoreMin = 0, + ScoreMax = 2 , + ScoreIntervalNature = "Discrete", + NbPossibleScores = 2, + observedProbabilityOfSuccess =None, # Probabilité de succès observée pour cette immplentation + probabilityOfSuccess =None # Probabilité de succès utilisée pour les random pour cette immplentation + ) +FC_I_R1_1 = Implementation("FC_I_R1.1", + Version ="", + URL = "https://github.com/IFB-ElixirFr/FAIR-checker/blob/master/metrics/R11_Impl.py", + MinimalPatternsForSuccess ={ + 0: [[]], + 1: [[]], + 2 : [["# FC_I_R1.1 > ","?sLicense dct:license ?oLicense ."]] + }, + EquivalentPropertiesImplem = [{"schema:license", "dct:license", "doap:license", "dbpedia-owl:license", "cc:license", "xhv:license", "sto:license", "nie:license"}], + ScoreMin = 0, + ScoreMax = 2 , + ScoreIntervalNature = "Discrete", + NbPossibleScores = 2, + observedProbabilityOfSuccess =None, # Probabilité de succès observée pour cette immplentation + probabilityOfSuccess =None # Probabilité de succès utilisée pour les random pour cette immplentation + ) +FC_I_R1_2 = Implementation("FC_I_R1.2", + Version ="", + URL = "https://github.com/IFB-ElixirFr/FAIR-checker/blob/master/metrics/R12_Impl.py", + MinimalPatternsForSuccess ={ + 0 : [[]], + 1 : [[]], + 2 : [["# FC_I_R1.2", "?sCreator dct:creator ?oCreator ."]] + }, + EquivalentPropertiesImplem = [{"prov:wasGeneratedBy", "prov:wasDerivedFrom", "prov:wasAttributedTo", "prov:used", "prov:wasInformedBy", "prov:wasAssociatedWith", "prov:startedAtTime", "prov:endedAtTime", "dct:hasVersion", "dct:isVersionOf", "dct:creator", "dct:contributor", "dct:publisher", "pav:hasVersion", "pav:version", "pav:hasCurrentVersion", "pav:createdBy", "pav:authoredBy", "pav:retrievedFrom", "pav:importedFrom", "pav:createdWith", "pav:retrievedBy", "pav:importedBy", "pav:curatedBy", "pav:createdAt", "pav:previousVersion", "schema:creator", "schema:author", "schema:publisher", "schema:provider", "schema:funder"}], + + ScoreMin = 0, + ScoreMax = 2 , + ScoreIntervalNature = "Discrete", + NbPossibleScores = 2, + observedProbabilityOfSuccess =None, # Probabilité de succès observée pour cette immplentation + probabilityOfSuccess =None # Probabilité de succès utilisée pour les random pour cette immplentation + ) + + +FC_I_R1_3 = Implementation("FC_I_R1.3", + Version ="", + URL = "https://github.com/IFB-ElixirFr/FAIR-checker/blob/master/metrics/R13_Impl.py", + MinimalPatternsForSuccess ={ + 0: [["# FC_I_F2B > No classes and properties are known in major ontology registries (OLS, BioPortal, LOV)"]], + 1: [["# FC_I_R1.3 > at least one used ontology class or property are known in major ontology registries (OLS, BioPortal, LOV)"]], + 2: [["# FC_I_R1.3 > all used ontology classes or properties are known in major ontology registries (OLS, BioPortal, LOV)"]] + }, + ScoreMin = 0, + ScoreMax = 2 , + ScoreIntervalNature = "Discrete", + NbPossibleScores = 3, + observedProbabilityOfSuccess =None, # Probabilité de succès observée pour cette immplentation + probabilityOfSuccess =None # Probabilité de succès utilisée pour les random pour cette immplentation + ) + + + +# Dépendances entre les implémentations + + +s = Symbol('s') +# Possibilité d'exprimer des expression du genre +# implementationDependance(("FC_I_F2A", s), ("FC_I_I1", (s+2) * 3)) +# Possibilité d'exprimer des contraintes par points : +# implementationDependance(("FC_I_F2A", 1), ("FC_I_I1", 2)) +# Possibilité d'exprimer des contraintes qui portent sur des intervalles +# implementationDependance(("FC_I_F2A", 1), ("FC_I_I1", [1, 2])) + + + + + +# Les deux implémentations : FC_I_F1A et FC_I_I1 sont strictement équivalentes +# en effet, FC_I_I1 élègue l'évaluation à FC_I_F1A +implementationDependance(("FC_I_F2A", s), ("FC_I_I1", s)) +implementationDependance(("FC_I_I1", s), ("FC_I_F2A", s)) + + +# Les trois implémentations suivantes sont équivalentes : FC_R_F2B, PC_I_I2 et FC_I_R1.3 +# En effet, les deux dernières déléguent l'évaluation à la première +implementationDependance(("FC_I_F2B", s), ("FC_I_I2", s)) +implementationDependance(("FC_I_F2B", s), ("FC_I_R1.3", s)) + +implementationDependance(("FC_I_I2", s), ("FC_I_F2B", s)) +implementationDependance(("FC_I_I2", s), ("FC_I_R1.3", s)) + +implementationDependance(("FC_I_R1.3", s), ("FC_I_F2B", s)) +implementationDependance(("FC_I_R1.3", s), ("FC_I_I2", s)) + + + + + + + + + + + + +# positionnement des implémentations dans l'arbre + + + +FAIRChecker_V2["Findable"]["F1"]["FC_R_F1A"].isImplementedBy(FC_I_F1A) +FAIRChecker_V2["Findable"]["F1"]["FC_R_F1B"].isImplementedBy(FC_I_F1B) +FAIRChecker_V2["Findable"]["F2"]["FC_R_F2A"].isImplementedBy(FC_I_F2A) +FAIRChecker_V2["Findable"]["F2"]["FC_R_F2B"].isImplementedBy(FC_I_F2B) +FAIRChecker_V2["Accessible"]["A1"]["A1.1"]["FC_R_A1.1"].isImplementedBy(FC_I_A1_1) +FAIRChecker_V2["Accessible"]["A1"]["A1.2"]["FC_R_A1.2"].isImplementedBy(FC_I_A1_2) +FAIRChecker_V2["Interoperable"]["I1"]["FC_R_I1"].isImplementedBy(FC_I_I1) # Délégation +FAIRChecker_V2["Interoperable"]["I2"]["FC_R_I2"].isImplementedBy(FC_I_I2) # Délégation +FAIRChecker_V2["Interoperable"]["I3"]["FC_R_I3"].isImplementedBy(FC_I_I3) +FAIRChecker_V2["Reusable"]["R1"]["R1.1"]["FC_R_R1.1"].isImplementedBy(FC_I_R1_1) +FAIRChecker_V2["Reusable"]["R1"]["R1.2"]["FC_R_R1.2"].isImplementedBy(FC_I_R1_2) +FAIRChecker_V2["Reusable"]["R1"]["R1.3"]["FC_R_R1.3"].isImplementedBy(FC_I_R1_3) # Délégation + diff --git a/notebooks/FAIRness evaluation - Dekalog.ipynb b/notebooks/FAIRness evaluation - Dekalog.ipynb new file mode 100644 index 00000000..3f97c0e1 --- /dev/null +++ b/notebooks/FAIRness evaluation - Dekalog.ipynb @@ -0,0 +1,2103 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "99899ebb", + "metadata": {}, + "source": [ + "# Aim of this notebook\n", + "The goal of this note book is to automate the FAIR assesment of mutliple online resources through the [FAIR-Checker tool](https://fair-checker.france-bioinformatique.fr). \n", + "All resulst are stored in a matrix and serialized into a CSV file. Scores can be interpreted as follows: \n", + " - 0 -> `failure`\n", + " - 1 -> `weak` assesment\n", + " - 2 -> `strong` assesment\n", + "\n", + "To run this notebook you just need the `requests` and `pandas` python libraries. \n", + "\n", + "The FAIR-Checker API is better described at https://fair-checker.france-bioinformatique.fr/swagger \n", + "\n", + "Please report any issue at https://github.com/IFB-ElixirFr/fair-checker/issues or contact alban.gaignard@univ-nantes.fr. " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "3bd58e06", + "metadata": {}, + "outputs": [], + "source": [ + "import time\n", + "import requests\n", + "import pandas as pd\n", + "from rdflib import ConjunctiveGraph\n", + "from json import JSONDecodeError\n", + "from tqdm.notebook import tqdm\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib as mpl" + ] + }, + { + "cell_type": "markdown", + "id": "24eaeb32", + "metadata": {}, + "source": [ + "## Input dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "15863e6a", + "metadata": {}, + "outputs": [], + "source": [ + "bench_urls = [\n", + " \"https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/JGO6VI\", \n", + " \"https://www.data.gouv.fr/en/datasets/donnees-relatives-a-lepidemie-de-covid-19-en-france-vue-densemble/\", \n", + " \"https://www.kaggle.com/datasets/imdevskp/corona-virus-report\",\n", + " \"https://data.who.int/dashboards/covid19/data\", \n", + " \"https://data.opendatasoft.com/explore/dataset/donnees-hospitalieres-covid-19-dep-france%40public/table/?disjunctive.countrycode_iso_3166_1_alpha3&disjunctive.nom_dep_min\", \n", + " \n", + " \"https://bio.tools/bwa\", \n", + " \n", + " \"https://hpo.jax.org\", \n", + " \"https://www.ebi.ac.uk/ols4/ontologies/go\", \n", + " \n", + " \"https://tess.elixir-europe.org/materials/make-your-research-fairer-with-quarto-github-and-zenodo\", \n", + " \"https://moodle.polytechnique.fr/course/index.php?categoryid=1018\", \n", + " \n", + " \"http://doi.org/10.1594/PANGAEA.908011\", \n", + " \"http://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge\", \n", + " \"https://data.rivm.nl/meta/srv/eng/rdf.metadata.get?uuid=1c0fcd57-1102-4620-9cfa-441e93ea5604&approved=true\"\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "318d68af", + "metadata": {}, + "outputs": [], + "source": [ + "FC_all_metrics_url = \"https://fair-checker.france-bioinformatique.fr/api/check/metrics_all\"\n", + "\n", + "#res = requests.get(url=FC_all_metrics_url, params={\"url\": \"https://data.who.int/dashboards/covid19/data\"})\n", + "#evaluations = res.json()\n", + "#evaluations\n", + "\n", + "def retrieve_rdf(url): \n", + " FC_get_md = \"https://fair-checker.france-bioinformatique.fr/api/inspect/get_rdf_metadata\"\n", + " kg = ConjunctiveGraph()\n", + " res = requests.get(url=FC_get_md, params={\"url\": url})\n", + " try:\n", + " kg.parse(data=res.text, format=\"json-ld\")\n", + " except Exception as e:\n", + " print(e)\n", + " print(f\"Loaded {len(kg)} RDF triples from {url}\")\n", + " return kg" + ] + }, + { + "cell_type": "markdown", + "id": "06eb9472", + "metadata": {}, + "source": [ + "## FAIR assesment over all inputs " + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "548d9f83", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "872066dcd6694826a7b1e744b9810f0d", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/13 [00:00)>" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.DataFrame()\n", + "rows = []\n", + "kg = ConjunctiveGraph()\n", + "\n", + "for u in tqdm(bench_urls):\n", + " # call to the FC API\n", + " start = time.time()\n", + " res = requests.get(url=FC_all_metrics_url, params={\"url\": u})\n", + " eval_in_sec = time.time() - start\n", + " \n", + " try : \n", + " evaluations = res.json()\n", + " row = {\"URL\": u}\n", + " \n", + " # iterating over all evaluation results\n", + " for e in evaluations:\n", + " row[e[\"metric\"]] = int(e[\"score\"])\n", + " # row[\"duration (s)\"] = round(eval_in_sec, 2)\n", + " # print(row)\n", + " rows.append(row)\n", + " except JSONDecodeError as e:\n", + " pass\n", + " \n", + " kg += retrieve_rdf(u)\n", + "\n", + "kg.serialize(\"out.ttl\", format=\"turtle\")" + ] + }, + { + "cell_type": "markdown", + "id": "639c736f", + "metadata": {}, + "source": [ + "## Evaluation matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "35cee346", + "metadata": {}, + "outputs": [ + { + "data": { + "text/markdown": [ + "| | URL | F1A | F1B | F2A | F2B | A1.1 | A1.2 | I1 | I2 | I3 | R1.1 | R1.2 | R1.3 |\n", + "|---:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------:|------:|------:|------:|-------:|-------:|-----:|-----:|-----:|-------:|-------:|-------:|\n", + "| 0 | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/JGO6VI | 2 | 2 | 1 | 1 | 2 | 2 | 1 | 1 | 2 | 2 | 2 | 1 |\n", + "| 1 | https://www.data.gouv.fr/en/datasets/donnees-relatives-a-lepidemie-de-covid-19-en-france-vue-densemble/ | 2 | 0 | 1 | 1 | 2 | 2 | 1 | 1 | 2 | 2 | 2 | 1 |\n", + "| 2 | https://www.kaggle.com/datasets/imdevskp/corona-virus-report | 2 | 2 | 1 | 1 | 2 | 2 | 1 | 1 | 0 | 2 | 2 | 1 |\n", + "| 3 | https://data.who.int/dashboards/covid19/data | 2 | 0 | 1 | 2 | 2 | 0 | 1 | 2 | 0 | 0 | 0 | 2 |\n", + "| 4 | https://data.opendatasoft.com/explore/dataset/donnees-hospitalieres-covid-19-dep-france%40public/table/?disjunctive.countrycode_iso_3166_1_alpha3&disjunctive.nom_dep_min | 2 | 0 | 1 | 2 | 2 | 0 | 1 | 2 | 0 | 0 | 0 | 2 |\n", + "| 5 | https://bio.tools/bwa | 2 | 2 | 1 | 1 | 2 | 0 | 1 | 1 | 2 | 0 | 0 | 1 |\n", + "| 6 | https://hpo.jax.org | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "| 7 | https://www.ebi.ac.uk/ols4/ontologies/go | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "| 8 | https://tess.elixir-europe.org/materials/make-your-research-fairer-with-quarto-github-and-zenodo | 2 | 0 | 1 | 1 | 2 | 2 | 1 | 1 | 2 | 2 | 2 | 1 |\n", + "| 9 | https://moodle.polytechnique.fr/course/index.php?categoryid=1018 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n", + "| 10 | http://doi.org/10.1594/PANGAEA.908011 | 2 | 2 | 1 | 2 | 2 | 2 | 1 | 2 | 2 | 2 | 2 | 2 |\n", + "| 11 | http://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge | 2 | 2 | 1 | 1 | 2 | 2 | 1 | 1 | 0 | 2 | 2 | 1 |\n", + "| 12 | https://data.rivm.nl/meta/srv/eng/rdf.metadata.get?uuid=1c0fcd57-1102-4620-9cfa-441e93ea5604&approved=true | 2 | 2 | 2 | 1 | 2 | 2 | 2 | 1 | 2 | 2 | 2 | 1 |" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import display, Markdown\n", + "df = pd.DataFrame.from_records(rows)\n", + "md = df.to_markdown()\n", + "print(md)\n", + "display(Markdown(md))" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "d0ef1e02", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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URLF1AF1BF2AF2BA1.1A1.2I1I2I3R1.1R1.2R1.3
0https://dataverse.harvard.edu/dataset.xhtml?pe...221122112221
1https://www.data.gouv.fr/en/datasets/donnees-r...201122112221
2https://www.kaggle.com/datasets/imdevskp/coron...221122110221
3https://data.who.int/dashboards/covid19/data201220120002
4https://data.opendatasoft.com/explore/dataset/...201220120002
5https://bio.tools/bwa221120112001
6https://hpo.jax.org200020000000
7https://www.ebi.ac.uk/ols4/ontologies/go200020000000
8https://tess.elixir-europe.org/materials/make-...201122112221
9https://moodle.polytechnique.fr/course/index.p...200020000000
10http://doi.org/10.1594/PANGAEA.908011221222122222
11http://www.kaggle.com/allen-institute-for-ai/C...221122110221
12https://data.rivm.nl/meta/srv/eng/rdf.metadata...222122212221
\n", + "
" + ], + "text/plain": [ + " URL F1A F1B F2A F2B \\\n", + "0 https://dataverse.harvard.edu/dataset.xhtml?pe... 2 2 1 1 \n", + "1 https://www.data.gouv.fr/en/datasets/donnees-r... 2 0 1 1 \n", + "2 https://www.kaggle.com/datasets/imdevskp/coron... 2 2 1 1 \n", + "3 https://data.who.int/dashboards/covid19/data 2 0 1 2 \n", + "4 https://data.opendatasoft.com/explore/dataset/... 2 0 1 2 \n", + "5 https://bio.tools/bwa 2 2 1 1 \n", + "6 https://hpo.jax.org 2 0 0 0 \n", + "7 https://www.ebi.ac.uk/ols4/ontologies/go 2 0 0 0 \n", + "8 https://tess.elixir-europe.org/materials/make-... 2 0 1 1 \n", + "9 https://moodle.polytechnique.fr/course/index.p... 2 0 0 0 \n", + "10 http://doi.org/10.1594/PANGAEA.908011 2 2 1 2 \n", + "11 http://www.kaggle.com/allen-institute-for-ai/C... 2 2 1 1 \n", + "12 https://data.rivm.nl/meta/srv/eng/rdf.metadata... 2 2 2 1 \n", + "\n", + " A1.1 A1.2 I1 I2 I3 R1.1 R1.2 R1.3 \n", + "0 2 2 1 1 2 2 2 1 \n", + "1 2 2 1 1 2 2 2 1 \n", + "2 2 2 1 1 0 2 2 1 \n", + "3 2 0 1 2 0 0 0 2 \n", + "4 2 0 1 2 0 0 0 2 \n", + "5 2 0 1 1 2 0 0 1 \n", + "6 2 0 0 0 0 0 0 0 \n", + "7 2 0 0 0 0 0 0 0 \n", + "8 2 2 1 1 2 2 2 1 \n", + "9 2 0 0 0 0 0 0 0 \n", + "10 2 2 1 2 2 2 2 2 \n", + "11 2 2 1 1 0 2 2 1 \n", + "12 2 2 2 1 2 2 2 1 " + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# import seaborn as sns \n", + "# sns.histplot(data=df[\"R1.3\"])\n", + "# plt.savefig('r13.png', dpi=300)\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "a74db425", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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URLF1AF1BF2AF2BA1.1A1.2I1I2I3R1.1R1.2R1.3F_scoreA_scoreI_scoreR_scoreFAIR_score
0https://dataverse.harvard.edu/dataset.xhtml?pe...22112211222175.0100.066.783.379.2
1https://www.data.gouv.fr/en/datasets/donnees-r...20112211222150.0100.066.783.370.8
2https://www.kaggle.com/datasets/imdevskp/coron...22112211022175.0100.033.383.370.8
3https://data.who.int/dashboards/covid19/data20122012000262.550.050.033.350.0
4https://data.opendatasoft.com/explore/dataset/...20122012000262.550.050.033.350.0
5https://bio.tools/bwa22112011200175.050.066.716.754.2
6https://hpo.jax.org20002000000025.050.00.00.016.7
7https://www.ebi.ac.uk/ols4/ontologies/go20002000000025.050.00.00.016.7
8https://tess.elixir-europe.org/materials/make-...20112211222150.0100.066.783.370.8
9https://moodle.polytechnique.fr/course/index.p...20002000000025.050.00.00.016.7
10http://doi.org/10.1594/PANGAEA.90801122122212222287.5100.083.3100.091.7
11http://www.kaggle.com/allen-institute-for-ai/C...22112211022175.0100.033.383.370.8
12https://data.rivm.nl/meta/srv/eng/rdf.metadata...22212221222187.5100.083.383.387.5
\n", + "
" + ], + "text/plain": [ + " URL F1A F1B F2A F2B \\\n", + "0 https://dataverse.harvard.edu/dataset.xhtml?pe... 2 2 1 1 \n", + "1 https://www.data.gouv.fr/en/datasets/donnees-r... 2 0 1 1 \n", + "2 https://www.kaggle.com/datasets/imdevskp/coron... 2 2 1 1 \n", + "3 https://data.who.int/dashboards/covid19/data 2 0 1 2 \n", + "4 https://data.opendatasoft.com/explore/dataset/... 2 0 1 2 \n", + "5 https://bio.tools/bwa 2 2 1 1 \n", + "6 https://hpo.jax.org 2 0 0 0 \n", + "7 https://www.ebi.ac.uk/ols4/ontologies/go 2 0 0 0 \n", + "8 https://tess.elixir-europe.org/materials/make-... 2 0 1 1 \n", + "9 https://moodle.polytechnique.fr/course/index.p... 2 0 0 0 \n", + "10 http://doi.org/10.1594/PANGAEA.908011 2 2 1 2 \n", + "11 http://www.kaggle.com/allen-institute-for-ai/C... 2 2 1 1 \n", + "12 https://data.rivm.nl/meta/srv/eng/rdf.metadata... 2 2 2 1 \n", + "\n", + " A1.1 A1.2 I1 I2 I3 R1.1 R1.2 R1.3 F_score A_score I_score \\\n", + "0 2 2 1 1 2 2 2 1 75.0 100.0 66.7 \n", + "1 2 2 1 1 2 2 2 1 50.0 100.0 66.7 \n", + "2 2 2 1 1 0 2 2 1 75.0 100.0 33.3 \n", + "3 2 0 1 2 0 0 0 2 62.5 50.0 50.0 \n", + "4 2 0 1 2 0 0 0 2 62.5 50.0 50.0 \n", + "5 2 0 1 1 2 0 0 1 75.0 50.0 66.7 \n", + "6 2 0 0 0 0 0 0 0 25.0 50.0 0.0 \n", + "7 2 0 0 0 0 0 0 0 25.0 50.0 0.0 \n", + "8 2 2 1 1 2 2 2 1 50.0 100.0 66.7 \n", + "9 2 0 0 0 0 0 0 0 25.0 50.0 0.0 \n", + "10 2 2 1 2 2 2 2 2 87.5 100.0 83.3 \n", + "11 2 2 1 1 0 2 2 1 75.0 100.0 33.3 \n", + "12 2 2 2 1 2 2 2 1 87.5 100.0 83.3 \n", + "\n", + " R_score FAIR_score \n", + "0 83.3 79.2 \n", + "1 83.3 70.8 \n", + "2 83.3 70.8 \n", + "3 33.3 50.0 \n", + "4 33.3 50.0 \n", + "5 16.7 54.2 \n", + "6 0.0 16.7 \n", + "7 0.0 16.7 \n", + "8 83.3 70.8 \n", + "9 0.0 16.7 \n", + "10 100.0 91.7 \n", + "11 83.3 70.8 \n", + "12 83.3 87.5 " + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['F_score'] = df.apply(lambda row: round((row[\"F1A\"] + row[\"F1B\"] + row[\"F2A\"] + row[\"F2B\"])*100/8, 1), axis = 1)\n", + "df['A_score'] = df.apply(lambda row: round((row[\"A1.1\"] + row[\"A1.2\"])*100/4, 1), axis = 1)\n", + "df['I_score'] = df.apply(lambda row: round((row[\"I1\"] + row[\"I2\"] + row[\"I3\"])*100/6, 1), axis = 1)\n", + "df['R_score'] = df.apply(lambda row: round((row[\"R1.1\"] + row[\"R1.2\"] + row[\"R1.3\"])*100/6, 1), axis = 1)\n", + "#df['FAIR_score'] = df.apply(lambda row: round((row[\"F_score\"] + row[\"A_score\"] + row[\"I_score\"] + row[\"R_score\"])/4, 1), axis = 1)\n", + "df['FAIR_score'] = df.apply(lambda row: round((row[\"F1A\"] + row[\"F1B\"] + row[\"F2A\"] + row[\"F2B\"] + row[\"A1.1\"] + row[\"A1.2\"] + row[\"I1\"] + row[\"I2\"] + row[\"I3\"] + row[\"R1.1\"] + row[\"R1.2\"] + row[\"R1.3\"]) * 100 / 24, 1), axis = 1)\n", + "\n", + "df.to_csv(\"fairchecker_dekalog_evals.csv\")\n", + "df" + ] + }, + { + "cell_type": "markdown", + "id": "d1fc4455", + "metadata": {}, + "source": [ + "# Manual evaluations with F-UJI" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "56eca633", + "metadata": {}, + "outputs": [], + "source": [ + "fuji_evals = {}\n", + "fuji_evals[\"harvard_dataverse\"] = 75\n", + "fuji_evals[\"data.gouv.fr\"] = 52\n", + "fuji_evals[\"kaggle\"] = 60\n", + "fuji_evals[\"who\"] = 27\n", + "fuji_evals[\"opendatasoft\"] = 31 \n", + "fuji_evals[\"bio.tools\"] = 18\n", + "fuji_evals[\"HPO\"] = 18\n", + "fuji_evals[\"HPO_ols\"] = 18\n", + "fuji_evals[\"tess\"] = 39\n", + "fuji_evals[\"moodle\"] = 4\n", + "fuji_evals[\"pangaea\"] = 91\n", + "fuji_evals[\"kaggle_2\"] = 60\n", + "fuji_evals[\"rdf_content_neg\"] = 43" + ] + }, + { + "cell_type": "markdown", + "id": "31001522", + "metadata": {}, + "source": [ + "## Visualisation" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "2b17b96e", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/x1/d1nyvpvs0td0htxzsv9x6ggw0000gn/T/ipykernel_38618/2597131.py:28: FutureWarning: Dropping of nuisance columns in DataFrame reductions (with 'numeric_only=None') is deprecated; in a future version this will raise TypeError. Select only valid columns before calling the reduction.\n", + " df['Std dev'] = df.std(axis=1)\n" + ] + }, + { + "data": { + "text/html": [ + "
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ResourceF-UJIFAIR-CheckerStd dev
10Dataset (PANGAEA)9191.70.494975
6HPO (website)1816.70.919239
7HPO (Ontology Lookup Service)1816.70.919239
0Dataset (Harvard Dataverse)7579.22.969848
2Dataset (Kaggle)6070.87.636753
11Dataset (Kaggle)6070.87.636753
9Online course (Moodle)416.78.980256
1Dataset (Governmental platform)5270.813.293607
4Dataset (Opendatasoft)3150.013.435029
3Dataset (WHO)2750.016.263456
8Training material (TeSS)3970.822.485996
5Bioinformatics tool (bio.tools)1854.225.597265
12Dataset (RDF metadata)4387.531.466252
\n", + "
" + ], + "text/plain": [ + " Resource F-UJI FAIR-Checker Std dev\n", + "10 Dataset (PANGAEA) 91 91.7 0.494975\n", + "6 HPO (website) 18 16.7 0.919239\n", + "7 HPO (Ontology Lookup Service) 18 16.7 0.919239\n", + "0 Dataset (Harvard Dataverse) 75 79.2 2.969848\n", + "2 Dataset (Kaggle) 60 70.8 7.636753\n", + "11 Dataset (Kaggle) 60 70.8 7.636753\n", + "9 Online course (Moodle) 4 16.7 8.980256\n", + "1 Dataset (Governmental platform) 52 70.8 13.293607\n", + "4 Dataset (Opendatasoft) 31 50.0 13.435029\n", + "3 Dataset (WHO) 27 50.0 16.263456\n", + "8 Training material (TeSS) 39 70.8 22.485996\n", + "5 Bioinformatics tool (bio.tools) 18 54.2 25.597265\n", + "12 Dataset (RDF metadata) 43 87.5 31.466252" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#import seaborn as sns \n", + "#sns.set_theme(style=\"whitegrid\", palette=\"muted\")\n", + "\n", + "df = pd.read_csv(\"fc_dekalog_evals.csv\")\n", + "df = df[[\"URL\", \"FAIR_score\"]]\n", + "df = df.rename(columns={\"FAIR_score\": \"FAIR-Checker\"})\n", + "\n", + "\n", + "fuji_scores = [75, 52, 60, 27, 31, 18, 18, 18, 39, 4, 91, 60, 43]\n", + "df['F-UJI'] = fuji_scores\n", + "\n", + "resource_title = [\"Dataset (Harvard Dataverse)\", \n", + " \"Dataset (Governmental platform)\", \n", + " \"Dataset (Kaggle)\",\n", + " \"Dataset (WHO)\",\n", + " \"Dataset (Opendatasoft)\",\n", + " \"Bioinformatics tool (bio.tools)\",\n", + " \"HPO (website)\",\n", + " \"HPO (Ontology Lookup Service)\",\n", + " \"Training material (TeSS)\",\n", + " \"Online course (Moodle)\",\n", + " \"Dataset (PANGAEA)\",\n", + " \"Dataset (Kaggle)\",\n", + " \"Dataset (RDF metadata)\"]\n", + "\n", + "df['Resource'] = resource_title\n", + "#df['Mean'] = df.mean(axis=1)\n", + "df['Std dev'] = df.std(axis=1)\n", + "\n", + "df = df.reindex(columns=['Resource', 'F-UJI', 'FAIR-Checker', 'Std dev', 'URL'])\n", + "\n", + "df_sorted = df.sort_values(by='Std dev', ascending=True)\n", + "df_sorted = df_sorted.drop(columns=['URL'])\n", + "df_sorted" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "39505f49", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "9cc54f4b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\\begin{tabular}{\\small}{lrrrr}\n", + "\\toprule\n", + " Resource & F-UJI & FAIR-Checker & Std dev \\\\\n", + "\\midrule\n", + " Dataset (PANGAEA) & 91 & 91.70 & 0.49 \\\\\n", + " HPO (website) & 18 & 16.70 & 0.92 \\\\\n", + " HPO (Ontology Lookup Service) & 18 & 16.70 & 0.92 \\\\\n", + " Dataset (Harvard Dataverse) & 75 & 79.20 & 2.97 \\\\\n", + " Dataset (Kaggle) & 60 & 70.80 & 7.64 \\\\\n", + " Dataset (Kaggle) & 60 & 70.80 & 7.64 \\\\\n", + " Online course (Moodle) & 4 & 16.70 & 8.98 \\\\\n", + "Dataset (Governmental platform) & 52 & 70.80 & 13.29 \\\\\n", + " Dataset (Opendatasoft) & 31 & 50.00 & 13.44 \\\\\n", + " Dataset (WHO) & 27 & 50.00 & 16.26 \\\\\n", + " Training material (TeSS) & 39 & 70.80 & 22.49 \\\\\n", + "Bioinformatics tool (bio.tools) & 18 & 54.20 & 25.60 \\\\\n", + " Dataset (RDF metadata) & 43 & 87.50 & 31.47 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/x1/d1nyvpvs0td0htxzsv9x6ggw0000gn/T/ipykernel_38618/679741901.py:1: FutureWarning: In future versions `DataFrame.to_latex` is expected to utilise the base implementation of `Styler.to_latex` for formatting and rendering. The arguments signature may therefore change. It is recommended instead to use `DataFrame.style.to_latex` which also contains additional functionality.\n", + " latex_table = df_sorted.to_latex(index=False, column_format='lrrrr', float_format=\"%.2f\", escape=False)\n" + ] + } + ], + "source": [ + "latex_table = df_sorted.to_latex(index=False, column_format='lrrrr', float_format=\"%.2f\", escape=False)\n", + "latex_table = latex_table.replace(\"\\\\begin{tabular}\", \"\\\\begin{tabular}{\\\\small}\")\n", + "print(latex_table)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "aac845ab", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "6acca2eb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Unexpected exception formatting exception. Falling back to standard exception\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n", + "Traceback (most recent call last):\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/IPython/core/interactiveshell.py\", line 3508, in run_code\n", + " exec(code_obj, self.user_global_ns, self.user_ns)\n", + " File \"/var/folders/x1/d1nyvpvs0td0htxzsv9x6ggw0000gn/T/ipykernel_38618/3854570422.py\", line 7, in \n", + " sns.barplot(df, x=\"URL\", y=[\"FAIR-Checker, F-UJI\"], palette=\"muted\")\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/seaborn/_decorators.py\", line 46, in inner_f\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/seaborn/categorical.py\", line 3182, in barplot\n", + " row_order, col_order : lists of strings\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/seaborn/categorical.py\", line 1584, in __init__\n", + " )\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/seaborn/categorical.py\", line 156, in establish_variables\n", + " self.variables[\"hue\"] = self.variables[self.orient]\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/seaborn/_core.py\", line 1311, in infer_orient\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/seaborn/_core.py\", line 1229, in variable_type\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/pandas/core/generic.py\", line 1535, in __nonzero__\n", + " raise ValueError(\n", + "ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().\n", + "\n", + "During handling of the above exception, another exception occurred:\n", + "\n", + "Traceback (most recent call last):\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/IPython/core/interactiveshell.py\", line 2105, in showtraceback\n", + " stb = self.InteractiveTB.structured_traceback(\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 1428, in structured_traceback\n", + " return FormattedTB.structured_traceback(\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 1319, in structured_traceback\n", + " return VerboseTB.structured_traceback(\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 1172, in structured_traceback\n", + " formatted_exception = self.format_exception_as_a_whole(etype, evalue, etb, number_of_lines_of_context,\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 1062, in format_exception_as_a_whole\n", + " self.get_records(etb, number_of_lines_of_context, tb_offset) if etb else []\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 1154, in get_records\n", + " FrameInfo(\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/site-packages/IPython/core/ultratb.py\", line 780, in __init__\n", + " ix = inspect.getsourcelines(frame)\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/inspect.py\", line 1006, in getsourcelines\n", + " lines, lnum = findsource(object)\n", + " File \"/Users/gaignard-a/miniconda3/envs/fair-checker/lib/python3.9/inspect.py\", line 835, in findsource\n", + " raise OSError('could not get source code')\n", + "OSError: could not get source code\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "\n", + "#df.plot(x=\"URL\", y=[\"FAIR-Checker\", \"F-UJI\"], kind=\"bar\", figsize=(15, 5), #color=[\"#1f77b4\", \"#ff7f0e\"])\n", + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(15, 5))\n", + "sns.barplot(df, x=\"URL\", y=[\"FAIR-Checker, F-UJI\"], palette=\"muted\")\n", + "plt.xticks(rotation=75)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "4cc8fa8c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "./dekalog_tests/https___www.kaggle.com_datasets_imdevskp_corona-virus-report.json\n", + "FsF-F1-01D 1 1\n", + "FsF-F1-02D 0 1\n", + "FsF-F2-01M 0.5 2\n", + "FsF-F3-01M 1 1\n", + "FsF-F4-01M 1 2\n", + "FsF-I1-01M 1 2\n", + "FsF-I2-01M 1 1\n", + "FsF-I3-01M 1 1\n", + "FsF-R1-01MD 2 4\n", + "FsF-R1.1-01M 1 2\n", + "FsF-A1-01M 1 1\n", + "FsF-R1.2-01M 1 2\n", + 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+ { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'plotly'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[54], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mpandas\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mpd\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mplotly\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mexpress\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mpx\u001b[39;00m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;66;03m# Create a toy dataframe\u001b[39;00m\n\u001b[1;32m 6\u001b[0m data \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mx\u001b[39m\u001b[38;5;124m'\u001b[39m: [\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m3\u001b[39m, \u001b[38;5;241m4\u001b[39m, \u001b[38;5;241m5\u001b[39m],\n\u001b[1;32m 7\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m'\u001b[39m: [\u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m4\u001b[39m, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m3\u001b[39m, \u001b[38;5;241m5\u001b[39m]}\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'plotly'" + ] + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "29372c66", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + 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"import pandas as pd\n", + "from pymongo import MongoClient\n", + "from datetime import datetime, date, timedelta\n", + "from dateutil.relativedelta import relativedelta\n", + "\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n" + ] + }, + { + "cell_type": "markdown", + "id": "1d688bfa", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "id": "947e3e93", + "metadata": {}, + "source": [ + "# Last 6 month" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "94a5a2b2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1454 stored evaluation\n", + "2023-12-24T09:49:34.208836\n", + "2024-06-21T09:49:34.208904\n", + "0\n" + ] + } + ], + "source": [ + "client = MongoClient()\n", + "db = client.fair_checker\n", + "evaluations = db.evaluations\n", + "all_eval = evaluations.count_documents({})\n", + "print(f\"{all_eval} stored evaluation\")\n", + "\n", + "#unique_eval = evaluations.distinct(\"target_uri\")\n", + "#print(unique_eval)\n", + "\n", + "six_month_ago = datetime.now() - timedelta(days=180)\n", + "\n", + "print(six_month_ago.isoformat())\n", + "print(datetime.now().isoformat())\n", + "sixm_eval = evaluations.count_documents({\"started_at\": {\"$gt\": six_month_ago}})\n", + "print(sixm_eval)" + ] + }, + { + "cell_type": "markdown", + "id": "421114f7", + "metadata": {}, + "source": [ + "# Unique resources evaluated the last 6 months " + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "aa5ab9bd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "13 unique resources evaluated the last 6 months. \n" + ] + } + ], + "source": [ + "client = MongoClient()\n", + "db = client.fair_checker\n", + "evaluations = db.evaluations\n", + "\n", + "#print(f\"{len(list(evaluations.find({})))} evaluations\")\n", + "#print(f\"{len(evaluations.distinct('target_uri'))} unique evaluated URLs\")\n", + "\n", + "six_month_ago = datetime.now() - timedelta(days=180)\n", + "#print(six_month_ago.isoformat())\n", + "#print(datetime.now().isoformat())\n", + "sixm_eval_unique = evaluations.find({\"started_at\": {\"$gt\": six_month_ago}}).distinct('target_uri')\n", + "print(f\"{len(sixm_eval_unique)} unique resources evaluated the last 6 months. \")" + ] + }, + { + "cell_type": "markdown", + "id": "6d1481dd", + "metadata": {}, + "source": [ + "# Yearly" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e5a45fd3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " 2018 2019 2020 2021 2022 2023\n", + "0 0 0 0 0 349 143" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "client = MongoClient()\n", + "db = client.fair_checker\n", + "evaluations = db.evaluations\n", + "\n", + "data = {}\n", + "\n", + "for i in range(2018,2024):\n", + " #print(i)\n", + " start = datetime.fromisoformat(f'{i}-01-01')\n", + " end = datetime.fromisoformat(f'{i+1}-01-01')\n", + " count = evaluations.count_documents({\"started_at\": {\"$gte\": start, \"$lt\": end}})\n", + " #print(f\"FAIR-checker evaluations in {i}: {count}\")\n", + " data[str(i)] = [count]\n", + "\n", + "df = pd.DataFrame(data)\n", + "df.to_csv(\"year.csv\")\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bb65aa97", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "0029de51", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ], + "text/plain": [ + " 2018-01 2018-02 2018-03 2018-04 2018-05 2018-06 2018-07 2018-08 \\\n", + "0 0 0 0 0 0 0 0 0 \n", + "\n", + " 2018-09 2018-10 ... 2023-03 2023-04 2023-05 2023-06 2023-07 \\\n", + "0 0 0 ... 110 22 0 0 0 \n", + "\n", + " 2023-08 2023-09 2023-10 2023-11 2023-12 \n", + "0 0 0 0 0 0 \n", + "\n", + "[1 rows x 72 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "client = MongoClient()\n", + "db = client.fair_checker\n", + "evaluations = db.evaluations\n", + "\n", + "data_m = {}\n", + "\n", + "for y in range(2018,2024):\n", + " for m in [\"01\", \"02\", \"03\", \"04\", \"05\", \"06\", \"07\", \"08\", \"09\", \"10\",\"11\", \"12\"]:\n", + " start = datetime.fromisoformat(f'{y}-{m}-01')\n", + " end = start + timedelta(days=30)\n", + " count = evaluations.count_documents({\"started_at\": {\"$gte\": start, \"$lt\": end}})\n", + " data_m[f\"{y}-{m}\"] = [count]\n", + "\n", + "df_m = pd.DataFrame(data_m)\n", + "df_m.to_csv(\"months.csv\")\n", + "df_m\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "0aae1870", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "\n", + "plt.rcParams[\"figure.figsize\"]=(18,6)\n", + "plt.rcParams[\"figure.dpi\"] = 100\n", + "plt.rcParams[\"savefig.dpi\"] = 300\n", + "\n", + "plt.xticks(rotation='vertical')\n", + "\n", + "ax = sns.barplot(data=df_m)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "452da9c6", + "metadata": {}, + "outputs": [], + "source": [ + "ax.get_figure().savefig('monthly.pdf')\n", + "ax.get_figure().savefig('monthly.png')" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "1b08e191", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "\n", + "client = MongoClient()\n", + "db = client.fair_checker\n", + "evaluations = db.evaluations\n", + "\n", + "data_m = {}\n", + "\n", + "count = 0\n", + "for y in range(2018,2024):\n", + " for m in [\"01\", \"02\", \"03\", \"04\", \"05\", \"06\", \"07\", \"08\", \"09\", \"10\",\"11\", \"12\"]:\n", + " start = datetime.fromisoformat(f'{y}-{m}-01')\n", + " end = start + timedelta(days=30)\n", + " count += evaluations.count_documents({\"started_at\": {\"$gte\": start, \"$lt\": end}})\n", + " data_m[f\"{y}-{m}\"] = [count]\n", + "\n", + "df_m = pd.DataFrame(data_m)\n", + "df_m.to_csv(\"cumulated_months.csv\")\n", + "df_m\n", + "\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "sns.lineplot(data=df_m.iloc[0], marker='o', label='Cumulartive Count Over Time') \n", + "plt.xlabel('Year-Month')\n", + "plt.ylabel('Cumulative Count')\n", + "plt.title('Cumulative Count Over Time')\n", + "plt.xticks(rotation=90)\n", + "plt.savefig('cumulative_count.png', dpi=300)\n", + "plt.show()\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "sns.lineplot(data=df_m.iloc[0], marker='o', label='Cumulative Count Over Time') \n", + "plt.xlabel('Year-Month')\n", + "plt.ylabel('Cumulative Count')\n", + "plt.title('Cumulative Count Over Time')\n", + "plt.xticks(rotation=90)\n", + "plt.yscale('log')\n", + "plt.savefig('cumulative_count_log.png', dpi=300)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "6113105f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_m = pd.read_csv(\"cumulative_evals.csv\", index_col=0)\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "#sns.lineplot(data=df_m.iloc[0], marker='o', label='Cumulartive Count Over Time') \n", + "sns.lineplot(data=df_m.iloc[0], marker='o') \n", + "plt.xlabel('Date')\n", + "plt.ylabel('FAIR metrics evaluations')\n", + "plt.title('Cumulative FAIR metrics evaluations')\n", + "plt.xticks(rotation=90)\n", + "plt.ticklabel_format(style='plain', axis='y') # Remove scientific notation \n", + "\n", + "# add vertical lines for 2021\n", + "plt.axvline(x='2022-01', color='grey', linestyle='--')\n", + "plt.annotate(df_m['2022-01'][0], ('2022-01', df_m['2022-01'][0]), textcoords=\"offset points\", xytext=(0,10), ha='center')\n", + "\n", + "# add vertical lines for 2022\n", + "plt.axvline(x='2023-01', color='orange', linestyle='--')\n", + "plt.annotate(df_m['2023-01'][0], ('2023-01', df_m['2023-01'][0]), textcoords=\"offset points\", xytext=(0,10), ha='center')\n", + "\n", + "# add vertical lines for 2023\n", + "plt.axvline(x='2024-01', color='red', linestyle='--')\n", + "plt.annotate(df_m['2024-01'][0], ('2024-01', df_m['2024-01'][0]), textcoords=\"offset points\", xytext=(0,10), ha='center')\n", + "\n", + "plt.savefig('cumulative_count.png', dpi=300, bbox_inches = 'tight')\n", + "plt.savefig('cumulative_count.pdf', dpi=300, bbox_inches = 'tight')\n", + "\n", + "plt.show()\n", + "\n", + "\n", + "\n", + "# plt.figure(figsize=(12, 6))\n", + "# sns.lineplot(data=df_m.iloc[0], marker='o', label='Cumulative Count Over Time') \n", + "# plt.xlabel('Year-Month')\n", + "# plt.ylabel('Cumulative Count')\n", + "# plt.title('Cumulative Count Over Time')\n", + "# plt.xticks(rotation=90)\n", + "# plt.ticklabel_format(style='plain', axis='y') # Remove scientific notation \n", + "# plt.yscale('log')\n", + "# #plt.savefig('cumulative_count_log.png', dpi=300)\n", + "\n", + "# plt.axvline(x='2023-01', color='red', linestyle='--')\n", + "# plt.annotate(df_m['2023-01'][0], ('2023-01', df_m['2023-01'][0]), textcoords=\"offset points\", xytext=(0,10), ha='center')\n", + "\n", + "# plt.axvline(x='2024-01', color='orange', linestyle='--')\n", + "# plt.annotate(df_m['2024-01'][0], ('2024-01', df_m['2024-01'][0]), textcoords=\"offset points\", xytext=(0,10), ha='center')\n", + "\n", + "# plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "9237cc34", + "metadata": {}, + "source": [ + "# Assessed domains " + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "a57ba11b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'bio.tools': 346, 'doi.pangaea.de': 76, 'workflowhub.eu': 47, 'search.datacite.org': 27}\n" + ] + } + ], + "source": [ + "from urllib.parse import urlparse\n", + "\n", + "client = MongoClient()\n", + "db = client.fair_checker\n", + "evaluations = db.evaluations\n", + "\n", + "domains = {}\n", + "\n", + "for e in evaluations.find({}):\n", + " url = urlparse(e[\"target_uri\"])\n", + " d = url.netloc\n", + " if not d in domains.keys():\n", + " domains[d] = 1\n", + " domains[d] += 1\n", + "\n", + "json_data = []\n", + "print(domains)\n", + "for d in domains.keys():\n", + " json_data.append({\"domain\":d, \"FAIReval\":domains[d]})\n", + " \n", + "df_domains = pd.DataFrame(json_data)\n", + "\n", + "df_sorted = df_domains.sort_values(by=\"FAIReval\", ascending=False)\n", + "df_sorted.to_csv(\"domains.csv\")" + ] + }, + { + "cell_type": "markdown", + "id": "00cd422a", + "metadata": {}, + "source": [ + "# Top 20 evaluated domains " + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "7e563a05", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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0aVJ7+4Ybbsg999yToUOHZsMNN8yVV16Z4447Lo888kiaNm1aircEAABAI1bSI9pTpkzJc889l4svvjg777xzttxyy1xwwQXZcMMN88gjj6Sqqipvv/12vvzlL6d9+/a1P+3atUuSLFmyJLfddlsGDRqU3r17p7KyMldffXWmTZuWJ554opRvDQAAgEaqpEW7bdu2ufnmm7PddtvVjpWVlaWmpiZz587Ne++9l8WLF6dz586f+/jx48dnwYIF6dmzZ+1YmzZtss0222TMmDF1nh8AAAD+q5JOHW/Tpk169+693Njjjz+e999/P7vttlsmTpyYsrKyjB49Os8880zKy8vTu3fvnH766WndunWmTp2aJOnYseNyz7HBBhvk448/rrf3AQAAAJ8p+Tna/+7ll1/O+eefn759+6ZPnz4ZMWJEysvLs/HGG2fkyJGZMmVKrrjiikycODGjR4/OwoULk2SFc7GbNWuWuXPnfqEsFRXFH+xv0qTka89BnfB3GwAA/mW1KdpPPvlkzjzzzHTv3j3Dhw9PkgwaNChHH3102rRpkyTp2rVr2rdvn8MOOyxvvvlmmjdvnuSf52p/djtJFi9enBYtWqxylvLysrRtu/YXeDfQuLRps+qfNwAAaGhWi6J95513ZsiQIenXr1+GDRtWe4S6rKystmR/pmvXrkmSqVOn1k4Znz59ejbbbLPafaZPn57KyspVzlNdXZN58z5d5cf/d5o0KVdIaJDmzVuYqqrqUscAAIA606ZNi5WeyVnyon333Xfnsssuy5FHHpnzzz8/5eX/Cv7DH/4wc+bMyahRo2rH3nzzzSRJly5dsummm6ZVq1Z58cUXa4v2vHnzMm7cuOUuB7Yqli1TGmBlVVVV+8wAAMB/KmnRfvfdd3P55ZenX79+OeGEEzJz5szabc2bN8/++++fk046KTfeeGP222+/vPvuu/nxj3+c/fffv3Yl8gEDBmTYsGFp165dNt5441x55ZXp0KFD+vXrV6q3BQAAQCNW0qL9u9/9LkuXLs0TTzyxwnWv+/fvn5/85Ce55pprMnLkyIwcOTKtW7fOAQcckNNPP712v1NPPTXLli3LhRdemEWLFqVHjx4ZNWrUCgukAQAAQH0oq6mpqSl1iNVNVVV1Zs1aUPjzVlSUp23btXP+NY/lvQ9nF/78UN+22LhtLj9t38yevcDUcQAAGrR27dZe6XO0XZMHAAAACqRoAwAAQIEUbQAAACiQog0AAAAFUrQBAACgQIo2AAAAFEjRBgAAgAIp2gAAAFAgRRsAAAAKpGgDAABAgRRtAAAAKJCiDQAAAAVStAEAAKBAijYAAAAUSNEGAACAAinaAAAAUCBFGwAAAAqkaAMAAECBFG0AAAAokKINAAAABVK0AQAAoECKNgAAABRI0QYAAIACKdoAAABQIEUbAAAACqRoAwAAQIEUbQAAACiQog0AAAAFUrQBAACgQIo2AAAAFEjRBgAAgAIp2gAAAFAgRRsAAAAKpGgDAABAgRRtAAAAKJCiDQAAAAVStAEAAKBAijYAAAAUSNEGAACAAinaAAAAUCBFGwAAAAqkaAMAAECBFG0AAAAokKINAAAABVK0AQAAoECKNgAAABRI0QYAAIACKdoAAABQIEUbAAAACqRoAwAAQIEUbQAAACiQog0AAAAFUrQBAACgQIo2AAAAFEjRBgAAgAIp2gAAAFAgRRsAAAAKpGgDAABAgRRtAAAAKJCiDQAAAAVStAEAAKBAijYAAAAUSNEGAACAAinaAAAAUCBFGwAAAAqkaAMAAECBFG0AAAAokKINAAAABVK0AQAAoECKNgAAABRI0QYAAIACKdoAAABQIEUbAAAACqRoAwAAQIFKXrTnzJmTiy66KLvvvnt23HHHfPvb387YsWNrt7/11lsZMGBAtt9+++yxxx4ZNWrUco+vrq7OiBEj0qtXr3Tv3j3HHntspkyZUt9vAwAAAJKsBkX7Bz/4QV5//fUMHz48999/f7bddtsMHDgwkydPzuzZs3PMMcdkiy22yAMPPJBBgwblmmuuyQMPPFD7+BtuuCH33HNPBg8enHvvvTdlZWU57rjjsmTJkhK+KwAAABqrilK++JQpU/Lcc8/lF7/4RXbcccckyQUXXJBnnnkmjzzySJo3b56mTZvmkksuSUVFRTp37pwpU6bklltuycEHH5wlS5bktttuy1lnnZXevXsnSa6++ur06tUrTzzxRPbbb79Svj0AAAAaoZIe0W7btm1uvvnmbLfddrVjZWVlqampydy5czN27Nj06NEjFRX/+j6gZ8+eeffddzNz5syMHz8+CxYsSM+ePWu3t2nTJttss03GjBlTr+8FAAAAkhIX7TZt2qR3795p2rRp7djjjz+e999/P7vttlumTp2aDh06LPeYDTbYIEny0UcfZerUqUmSjh07rrDPxx9/XMfpAQAAYEUlnTr+X7388ss5//zz07dv3/Tp0ydDhw5droQnSbNmzZIkixcvzsKFC5Pkc/eZO3fuF8pSUVH8dxBNmpT8lHioE/5uAwDAv6w2RfvJJ5/MmWeeme7du2f48OFJkubNm6+wqNnixYuTJC1btkzz5s2TJEuWLKm9/dk+LVq0WOUs5eVladt27VV+PDQ2bdqs+ucNAAAampUu2g8//PD/6YkPOuigld73zjvvzJAhQ9KvX78MGzas9gh1hw4dMn369OX2/ez+hhtumGXLltWObbbZZsvtU1lZ+X/K+++qq2syb96nq/z4/06TJuUKCQ3SvHkLU1VVXeoYAABQZ9q0abHSMzlXumife+65Kx2grKxspYv23XffncsuuyxHHnlkzj///JSX/yt4jx49cs8996SqqipNmjRJkrzwwgvp1KlT1ltvvbRu3TqtWrXKiy++WFu0582bl3HjxmXAgAErnffzLFumNMDKqqqq9pkBAID/tNJF+6mnnir8xd99991cfvnl6devX0444YTMnDmzdlvz5s1z8MEH59Zbb80FF1yQ733ve3njjTcyevToXHrppUn+eW72gAEDMmzYsLRr1y4bb7xxrrzyynTo0CH9+vUrPC8AAAD8b1a6aG+88cYr/aQ1NTUrtd/vfve7LF26NE888USeeOKJ5bb1798/P/nJT3LrrbdmyJAh6d+/f9q3b5+zzz47/fv3r93v1FNPzbJly3LhhRdm0aJF6dGjR0aNGrXCAmkAAABQH8pqVrYV/xePPvpoXnrppSxdurS2WNfU1OTTTz/Na6+9lmeeeabQoPWpqqo6s2YtKPx5KyrK07bt2jn/msfy3oezC39+qG9bbNw2l5+2b2bPXmDqOAAADVq7dmsXf472v7vuuuty3XXXpXXr1lm2bFnWWmutVFRUZNasWSkvL8+hhx66Kk8LAAAAa7xVuvjtQw89lG984xt56aWXcvTRR2fPPffM888/n/vvvz/rrrtuttpqq6JzAgAAwBphlYr2tGnTcuCBB6asrCzbbrttXn311STJdtttlxNPPDG//OUvCw0JAAAAa4pVKtotW7ZMWVlZkmSLLbbI3//+9yxatChJ8qUvfSl///vfi0sIAAAAa5BVKtpf/vKX89BDDyVJNttsszRp0iTPP/98kmTy5MlW/AYAAKDRWqXF0E488cQcc8wx+eSTTzJy5Mh84xvfyLnnnpuvfOUrefbZZ7PXXnsVnRMAAADWCKtUtHv06JH7778/EyZMSJJcdNFFKS8vzyuvvJK999475557bqEhAQAAYE2xSkV75syZqaysTGVlZZKkWbNmueyyywoNBgAAAGuiVTpHe/fdd8/xxx+fRx99NIsXLy46EwAAAKyxVqloX3DBBVmwYEHOPPPMfPWrX815552Xv/zlL0VnAwAAgDXOKk0dP+KII3LEEUfk448/ziOPPJJHH300Dz30UDbccMN84xvfyAEHHJCuXbsWnRUAAABWe6t0RPszHTt2zHHHHZeHH344jz76aPbaa6/cdtttOfDAA4vKBwAAAGuUVTqi/e9mzJiRxx9/PI8//nhee+21tGvXLvvtt18R2QAAAGCNs0pFe86cOfn973+fRx99NGPHjs1aa62Vvn375oQTTkivXr1SXv6FDpQDAADAGmuVivZuu+2W6urq7Lzzzvnxj3+cvffeO2uvvXbR2QAAAGCNs0pFe9CgQfnGN76Rjh07Fp0HAAAA1mirVLRPOOGEJMncuXMzduzYTJ8+PV//+tczZ86cdOrUKWVlZYWGBAAAgDXFKi+GduONN+amm27KokWLUlZWlm7duuXqq6/OnDlzctttt6VNmzZF5gQAAIA1wiqtWnbnnXfm2muvzTHHHJP77rsvNTU1SZLvfve7+eCDD3LNNdcUGhIAAADWFKtUtO+4444cf/zxOe2007LtttvWjvfq1Sunn356/vCHPxQWEAAAANYkq1S0P/roo+yyyy6fu23LLbfMjBkzvlAoAAAAWFOtUtHu2LFjXn311c/d9te//tVq5AAAADRaq7QY2iGHHJJrr702zZs3zx577JEk+fTTT/O73/0uN910U4455pgiMwIAAMAaY5WK9nHHHZe///3vGTZsWIYNG5YkOeqoo5IkBxxwQO3lvwAAAKCxWaWiXVZWlh//+Mc59thj85e//CVz5sxJ69ats8suu2SrrbYqOiMAAACsMVb5OtpJssUWW2SLLbZYYfypp55K3759v8hTAwAAwBrp/1S0J02alF/96ldJkv333z+VlZXLbZ8yZUoGDx6cZ599Nm+99VZxKQEAAGANsdJF+/nnn8+JJ56YJUuWJEl+/vOf5+c//3l23nnnLFmyJNdff31uv/32LFmyJF//+tfrLDAAAACszlb68l433nhjNt544zz++OP585//nK985Su56qqrMmPGjBx22GG56aabsvnmm+fnP/95rrnmmrrMDAAAAKutlT6iPWHChJx//vnp1KlTkuTss8/OwQcfnFNOOSXvvfdezj333Bx55JFp0qRJnYUFAACA1d1KF+358+dns802q72/xRZbZNmyZZk+fXoeeOCBbLnllnUSEAAAANYkKz11vLq6OhUV/+rln93+wQ9+oGQDAADAf1rpov3f+bzLewEAAEBj9YWLdnn5F34KAAAAaDD+T9fRvuGGG9K2bdvlxq699tqsu+66y42VlZXl8ssv/8LhAAAAYE2z0kV7o402ysSJE1cYmzBhwgr7lpWVffFkAAAAsAZa6aL9hz/8oS5zAAAAQIPgBGsAAAAo0Eof0X744Yf/T0980EEH/R+jAAAAwJpvpYv2ueeeu9JPWlZWpmgDAADQKK100X7qqafqMgcAAAA0CCtdtDfeeOOVftLx48evUhgAAABY0xW2GNqSJUvy8MMP5/DDD0///v2LeloAAABYo6z0Ee3/zrvvvpt77703Dz30UObOnZt11lknhx12WBHZAAAAYI2zSkV72bJleeKJJ3LPPffkpZdeSpLssssu+fa3v50+ffqkadOmhYYEAACANcX/qWh/+OGHue+++/LAAw9kxowZ6dKlS77//e/n+uuvzymnnJIePXrUVU4AAABYI6x00T7++OPz3HPPpVWrVvn617+egw8+ON27d88nn3yS6667ri4zAgAAwBpjpYv2M888k6233jo//OEP89WvfjUVFV/49G4AAABocFZ61fHBgwdn7bXXzvHHH5+vfvWrufTSS/Pmm2/WZTYAAABY46z0YelDDjkkhxxySN5999088MAD+fWvf5177rknm222WcrKyjJv3ry6zAkAAABrhP/zdbQ7deqUM888M3/6059yww03ZKuttkqTJk1yyimn5PDDD89dd92VWbNm1UVWAAAAWO2tdNH+zW9+kzlz5vzrgeXl2XPPPXPdddflmWeeydlnn50FCxbksssuy+67714XWQEAAGC1t9JF++yzz87777+/3NjIkSMzY8aMtGvXLsccc0x+85vf5L777sshhxxSeFAAAABYE6z0Odo1NTXL3a+qqso111yTXr16Zf31168d79atW7p161ZcQgAAAFiD/J/P0f53/7V8AwAAQGP3hYo2AAAAsDxFGwAAAAr0hYt2WVlZETkAAACgQVjpxdCS5Pvf/36aNm263NiJJ56YtdZaa7mxsrKyPPnkk188HQAAAKxhVrpo9+/fvy5zAAAAQIOw0kV76NChdZkDAAAAGgSLoQEAAECBFG0AAAAokKINAAAABVK0AQAAoECKNgAAABRI0QYAAIACKdoAAABQIEUbAAAACqRoAwAAQIEUbQAAACiQog0AAAAFUrQBAACgQIo2AAAAFGi1Kto33HBDjjzyyOXGzjvvvGy99dbL/ey+++6126urqzNixIj06tUr3bt3z7HHHpspU6bUd3QAAABIshoV7Z///OcZMWLECuMTJkzIiSeemGeffbb25+GHH67dfsMNN+See+7J4MGDc++996asrCzHHXdclixZUo/pAQAA4J9KXrSnTZuW733ve7nmmmvSqVOn5bZVVVXl7bffzpe//OW0b9++9qddu3ZJkiVLluS2227LoEGD0rt371RWVubqq6/OtGnT8sQTT5Ti7QAAANDIlbxo/+1vf8s666yTX//61+nevfty2957770sXrw4nTt3/tzHjh8/PgsWLEjPnj1rx9q0aZNtttkmY8aMqdPcAAAA8HkqSh2gT58+6dOnz+dumzhxYsrKyjJ69Og888wzKS8vT+/evXP66aendevWmTp1apKkY8eOyz1ugw02yMcff1zn2QEAAOC/KnnR/p9MmjQp5eXl2XjjjTNy5MhMmTIlV1xxRSZOnJjRo0dn4cKFSZKmTZsu97hmzZpl7ty5X+i1KyqKP9jfpEnJJxBAnfB3GwAA/mW1LtqDBg3K0UcfnTZt2iRJunbtmvbt2+ewww7Lm2++mebNmyf557nan91OksWLF6dFixar/Lrl5WVp23btLxYeGpE2bVb98wYAAA3Nal20y8rKakv2Z7p27ZokmTp1au2U8enTp2ezzTar3Wf69OmprKxc5detrq7JvHmfrvLj/ztNmpQrJDRI8+YtTFVVdaljAABAnWnTpsVKz+RcrYv2D3/4w8yZMyejRo2qHXvzzTeTJF26dMmmm26aVq1a5cUXX6wt2vPmzcu4ceMyYMCAL/Tay5YpDbCyqqqqfWYAAOA/rdYnVu6///557rnncuONN+b999/P008/nfPPPz/7779/OnfunKZNm2bAgAEZNmxYnnrqqYwfPz5nnHFGOnTokH79+pU6PgAAAI3Qan1Ee88998w111yTkSNHZuTIkWndunUOOOCAnH766bX7nHrqqVm2bFkuvPDCLFq0KD169MioUaNWWCANAAAA6kNZTU1NTalDrG6qqqoza9aCwp+3oqI8bduunfOveSzvfTi78OeH+rbFxm1z+Wn7ZvbsBaaOAwDQoLVrt/ZKn6O9Wk8dBwAAgDWNog0AAAAFUrQBAACgQIo2AAAAFEjRBgAAgAIp2gAAAFAgRRsAAAAKpGgDAABAgRRtAAAAKJCiDQAAAAVStAEAAKBAijYAAAAUSNEGAACAAinaAAAAUCBFGwAAAAqkaAMAAECBFG0AAAAokKINAAAABVK0AQAAoECKNgAAABRI0QYAAIACKdoAAABQIEUbAAAACqRoAwAAQIEUbQAAACiQog0AAAAFUrQBAACgQIo2AAAAFEjRBgAAgAIp2gAAAFAgRRsAAAAKpGgDAABAgRRtAAAAKJCiDQAAAAVStAEAAKBAijYAAAAUSNEGAACAAinaAAAAUCBFGwAAAAqkaAMAAECBFG0AAAAokKINAAAABVK0AQAAoECKNgAAABRI0QYAAIACKdoAAABQIEUbAAAACqRoAwAAQIEUbQAAACiQog0AAAAFUrQBAACgQIo2AAAAFEjRBgAAgAIp2gAAAFAgRRsAAAAKpGgDAABAgRRtAAAAKJCiDQAAAAVStAEAAKBAijYAAAAUSNEGAACAAinaAAAAUCBFGwAAAAqkaAMAAECBFG0AAAAokKINAAAABVK0AQAAoECKNgAAABRI0QYAAIACKdoAAABQIEUbAAAACqRoAwAAQIEUbQAAACiQog0AAAAFWq2K9g033JAjjzxyubG33norAwYMyPbbb5899tgjo0aNWm57dXV1RowYkV69eqV79+459thjM2XKlPqMDQAAALVWm6L985//PCNGjFhubPbs2TnmmGOyxRZb5IEHHsigQYNyzTXX5IEHHqjd54Ybbsg999yTwYMH5957701ZWVmOO+64LFmypL7fAgAAAKSi1AGmTZuWCy64IC+//HI6deq03Lb77rsvTZs2zSWXXJKKiop07tw5U6ZMyS233JKDDz44S5YsyW233ZazzjorvXv3TpJcffXV6dWrV5544onst99+pXhLAAAANGIlP6L9t7/9Leuss05+/etfp3v37sttGzt2bHr06JGKin99H9CzZ8+8++67mTlzZsaPH58FCxakZ8+etdvbtGmTbbbZJmPGjKm39wAAAACfKfkR7T59+qRPnz6fu23q1Knp2rXrcmMbbLBBkuSjjz7K1KlTkyQdO3ZcYZ+PP/64DtICAADA/6zkRft/smjRojRt2nS5sWbNmiVJFi9enIULFybJ5+4zd+7cL/TaFRXFH+xv0qTkEwigTvi7DQAA/7JaF+3mzZuvsKjZ4sWLkyQtW7ZM8+bNkyRLliypvf3ZPi1atFjl1y0vL0vbtmuv8uOhsWnTZtU/bwAA0NCs1kW7Q4cOmT59+nJjn93fcMMNs2zZstqxzTbbbLl9KisrV/l1q6trMm/ep6v8+P9OkyblCgkN0rx5C1NVVV3qGAAAUGfatGmx0jM5V+ui3aNHj9xzzz2pqqpKkyZNkiQvvPBCOnXqlPXWWy+tW7dOq1at8uKLL9YW7Xnz5mXcuHEZMGDAF3rtZcuUBlhZVVXVPjMAAPCfVusTKw8++ODMnz8/F1xwQd5+++08+OCDGT16dE444YQk/zw3e8CAARk2bFieeuqpjB8/PmeccUY6dOiQfv36lTg9AAAAjdFqfUR7vfXWy6233pohQ4akf//+ad++fc4+++z079+/dp9TTz01y5Yty4UXXphFixalR48eGTVq1AoLpAEAAEB9KKupqakpdYjVTVVVdWbNWlD481ZUlKdt27Vz/jWP5b0PZxf+/FDftti4bS4/bd/Mnr3A1HEAABq0du3WXulztFfrqeMAAACwplG0AQAAoECKNgAAABRI0QYAAIACKdoAAABQIEUbAAAACqRoAwAAQIEUbQAAACiQog0AAAAFUrQBAACgQIo2AAAAFEjRBgAAgAIp2gAAAFAgRRsAAAAKpGgDAABAgRRtAAAAKJCiDQAAAAVStAEAAKBAijYAAAAUSNEGAACAAinaAAAAUCBFGwAAAAqkaAMAAECBFG0AAAAokKINAAAABVK0AQAAoECKNgAAABRI0QYAAIACKdoAAABQIEUbAAAACqRoAwAAQIEUbQAAACiQog0AAAAFUrQBAACgQBWlDgBQCuXlZSkvLyt1DChMdXVNqqtrSh0DAIiiDTRC5eVladu2RcrLm5Q6ChSmuroqs2cvVLYBYDWgaAONzj+PZjfJu4/ckoUzPy51HPjCWqzXMZ32Py7l5WWKNgCsBhRtoNFaOPPjLJz2fqljAADQwFgMDQAAAAqkaAMAAECBFG0AAAAokKINAAAABVK0AQAAoECKNgAAABRI0QYAAIACKdoAAABQIEUbAAAACqRoAwAAQIEUbQAAACiQog0AAAAFUrQBAACgQIo2AAAAFEjRBgAAgAIp2gAAAFAgRRsAAAAKpGgDAABAgRRtAAAAKJCiDQAAAAVStAEAAKBAijYAAAAUSNEGAACAAinaAAAAUCBFGwAAAAqkaAMAAECBFG0AAAAokKINAAAABVK0AQAAoECKNgAAABRI0QYAAIACKdoAAABQIEUbAAAACqRoAwAAQIEUbQAAACiQog0AAAAFWiOK9ocffpitt956hZ9f/vKXSZK33norAwYMyPbbb5899tgjo0aNKnFiAAAAGquKUgdYGRMmTEizZs3y5JNPpqysrHa8devWmT17do455pjstddeufTSS/Paa6/l0ksvzbrrrpuDDz64hKkBAABojNaIoj1x4sR06tQpG2ywwQrbRo8enaZNm+aSSy5JRUVFOnfunClTpuSWW25RtAEAAKh3a8TU8QkTJqRLly6fu23s2LHp0aNHKir+9Z1Bz5498+6772bmzJn1FREAAACSrEFHtNu3b58jjjgi7733XjbffPOcfPLJ6dWrV6ZOnZquXbsut/9nR74/+uijrLfeeqv0mhUVxX8H0aTJGvG9BvyfrWl/t9e0vLCy/N0GgNXDal+0lyxZkvfeey8tWrTI2WefnZYtW+bXv/51jjvuuNx+++1ZtGhRmjZtutxjmjVrliRZvHjxKr1meXlZ2rZd+wtnh8aiTZsWpY4AxGcRAFYXq33Rbtq0acaMGZOKioraQr3ddttl8uTJGTVqVJo3b54lS5Ys95jPCnbLli1X6TWrq2syb96nXyz452jSpNwvQTRI8+YtTFVVdaljrDSfRRqqNe2zCABrkjZtWqz07LHVvmgnn1+Yu3btmmeffTYdOnTI9OnTl9v22f0NN9xwlV9z2TK/qMDKqqqq9pmB1YDPIgCsHlb7k7nGjx+fHXbYIWPHjl1u/K9//Wu6dOmSHj165OWXX05VVVXtthdeeCGdOnVa5fOzAQAAYFWt9kW7a9eu2WqrrXLppZdm7NixmTx5coYOHZrXXnstJ554Yg4++ODMnz8/F1xwQd5+++08+OCDGT16dE444YRSRwcAAKARWu2njpeXl2fkyJEZNmxYTj/99MybNy/bbLNNbr/99my99dZJkltvvTVDhgxJ//790759+5x99tnp379/iZMDAP+T8vKylJeXlToGFKq6uibV1TWljgGU2GpftJOkXbt2ufzyy//b7d26dcu9995bj4kAgC+ivLws67ZtkSblTUodBQpVVV2VObMXKtvQyK0RRRsAaFjKy8vSpLxJbnr6/+WjudNKHQcKsdE6G+aE3kelvLxM0YZGTtEGAErmo7nTMmXm30sdAwAKtdovhgYAAABrEkUbAAAACqRoAwAAQIEUbQAAACiQog0AAAAFUrQBAACgQIo2AAAAFEjRBgAAgAIp2gAAAFAgRRsAAAAKpGgDAABAgRRtAAAAKJCiDQAAAAVStAEAAKBAijYAAAAUSNEGAACAAinaAAAAUCBFGwAAAAqkaAMAAECBFG0AAAAokKINAAAABVK0AQAAoECKNgAAABRI0QYAAIACKdoAAABQIEUbAAAACqRoAwAAQIEUbQAAACiQog0AAAAFUrQBAACgQBWlDgAAAJROeXlZysvLSh0DClNdXZPq6pqSZlC0AQCgkSovL0vbdVukvEmTUkeBwlRXVWX2nIUlLduKNgAANFLl5WUpb9Ikr914U+Z/9HGp48AX1mqjjtn+pBNSXl6maAMAAKUz/6OPM2/KlFLHgAbDYmgAAABQIEUbAAAACqRoAwAAQIEUbQAAACiQog0AAAAFUrQBAACgQIo2AAAAFEjRBgAAgAIp2gAAAFAgRRsAAAAKpGgDAABAgRRtAAAAKJCiDQAAAAVStAEAAKBAijYAAAAUSNEGAACAAinaAAAAUCBFGwAAAAqkaAMAAECBFG0AAAAokKINAAAABVK0AQAAoECKNgAAABRI0QYAAIACKdoAAABQIEUbAAAACqRoAwAAQIEUbQAAACiQog0AAAAFUrQBAACgQIo2AAAAFEjRBgAAgAIp2gAAAFAgRRsAAAAKpGgDAABAgRRtAAAAKJCiDQAAAAVStAEAAKBADaJoV1dXZ8SIEenVq1e6d++eY489NlOmTCl1LAAAABqhBlG0b7jhhtxzzz0ZPHhw7r333pSVleW4447LkiVLSh0NAACARmaNL9pLlizJbbfdlkGDBqV3796prKzM1VdfnWnTpuWJJ54odTwAAAAamTW+aI8fPz4LFixIz549a8fatGmTbbbZJmPGjClhMgAAABqjilIH+KKmTp2aJOnYseNy4xtssEE+/vjjVXrO8vKytGu39hfO9l+Vlf3zf88Z2CdVVdWFPz/UtyZN/vld3TrrtEhNTYnD/B989lnc6pDTU1NdVdowUICy8iZJ1qzP4mefwx/2OzHLfA5pICrW4M9ij7N+kJplPous+coq6u5zWF5ettL7rvFFe+HChUmSpk2bLjferFmzzJ07d5Wes6ysLE2arPwf4v/VOq2a19lzQymUl6+Zk2PWWrtNqSNAodbEz2KbFq1LHQEKtyZ+Fpu18W8iDUupP4dr3v8L/BfNm/+ztP7Xhc8WL16cFi1alCISAAAAjdgaX7Q/mzI+ffr05canT5+eDh06lCISAAAAjdgaX7QrKyvTqlWrvPjii7Vj8+bNy7hx47LzzjuXMBkAAACN0Rp/jnbTpk0zYMCADBs2LO3atcvGG2+cK6+8Mh06dEi/fv1KHQ8AAIBGZo0v2kly6qmnZtmyZbnwwguzaNGi9OjRI6NGjVphgTQAAACoa2U1NWvKxQcAAABg9bfGn6MNAAAAqxNFGwAAAAqkaAMAAECBFG0AAAAokKINAAAABVK0AQAAoECKNgAAABRI0QYAAIACKdoAAABQoIpSB4C6MmvWrLz00kvZdttts+mmm5Y6DjQa06dPz3333Zd33nknF1xwQV566aV07do1nTt3LnU0aBSuu+66/3H7KaecUk9JoHHr06dPysrKVhgvKyvLWmutlQ4dOuTAAw/MQQcdVP/hqHOKNg3GxIkTM2jQoAwePDiVlZX5xje+kRkzZqRp06a5+eab07Nnz1JHhAZvypQp+da3vpVWrVpl2rRpOeOMM/L444/n/PPPz6hRo7LjjjuWOiI0eA8++OBy95ctW5ZZs2ZlrbXWyg477FCiVND4HHzwwbn++uuz1157ZaeddkqSvP766/ntb3+bb37zmykvL8+ll16apUuX5tBDDy1xWoqmaNNgXHHFFdl8882z5ZZb5vHHH8+yZcvy9NNP5+67787Pfvaz3HPPPaWOCA3eT37yk+y1114ZPHhwbam++uqrc+6552b48OG58847S5wQGr4//OEPK4zNnz8/55xzTr7yla+UIBE0Ti+//HJOO+20nHDCCcuNd+vWLc8991xuueWW7Ljjjhk1apSi3QA5R5sG49VXX80555yT9dZbL3/+85/Tu3fvbLjhhjnkkEMyfvz4UseDRuHVV1/NMcccs9xUuSZNmuTEE0/MW2+9VcJk0Li1atUqp512Wm6//fZSR4FG45VXXsnee++9wnifPn3y0ksvJUl22WWXvP/++/UdjXqgaNNglJeXp2nTpqmqqspf/vKX7LrrrkmSBQsWpHnz5iVOB41DVVVVqqurVxifP39+mjRpUoJEwGc+m0IO1I/11lsvr7zyygrjr7zyStq2bZsk+cc//pHWrVvXdzTqganjNBjbb799Ro4cmfXXXz8LFy7M7rvvnmnTpmX48OHZfvvtSx0PGoXddtstN954Y4YNG1Y7Nnv27Fx55ZXWSYB68vDDDy93v6amJp988knuvfde52hDPTrqqKPy4x//OO+991623377VFdX5/XXX88dd9yRk046KVOnTs0ll1ySXr16lToqdaCspqamptQhoAhTpkzJGWeckQ8++CBnnHFGjjjiiFx22WX54x//mFtvvTVbbrllqSNCgzdt2rQcddRRmTNnTj755JNsueWW+fDDD7PuuuvmzjvvzMYbb1zqiNDgVVZWrjBWUVGRHXfcMZdeemk6depUglTQON11110ZNWpUPvrooyTJRhttlOOPPz6HH354/vznP+dXv/pVLrroorRp06bESSmaok2DNnPmzKy77rqmrEI9WrhwYR555JG89dZbqa6uzlZbbZUDDzwwrVq1KnU0AKg3v/71r9O7d++ss846mTNnTioqKvxb2Igo2qzRPvt2cGVstNFGdZgEAFYvH330USZPnpwePXpkwYIFWW+99UodCRqVXXbZJb/4xS/SuXPnUkehBJyjzRqtT58+y61u/HlqampSVlZmxWOoI0cdddRK7/v//t//q8MkQJIsWbIk55xzTh5//PGUl5fnd7/7Xa644op88sknue666yy8BPVkiy22yIQJExTtRkrRZo3ml3YovX8/73rx4sV57LHH8qUvfSnbb799Kioq8uabb+bNN990jVCoJzfeeGPGjx+f0aNH58QTT0zyzy/Ezj///Fx55ZX58Y9/XOKE0DhstdVWOfPMM3Prrbdmiy22SLNmzZbbPnTo0BIloz6YOk6DNGvWrFRUVFhYAurZhRdemFatWuXcc89dbvxnP/tZJk+enGuvvbZEyaDx+NrXvpZLLrkkX/3qV7PDDjvk17/+dTbddNO88MILOeuss/Lss8+WOiI0CkceeeT/uP2OO+6opySUgiPaNCh33XVXbrzxxsycOTNJsv7662fgwIE5+uijSxsMGolHH300Dz300ArjBx10UA466KD6DwSN0LRp07LZZputMN6xY8fMmzevBImgcVKkGzdFmwbjl7/8ZX7yk59kwIAB2XnnnVNdXZ0xY8Zk+PDhadWqVQ455JBSR4QGr02bNhk3bly22GKL5cbHjh1rISaoJ507d87zzz+fb33rW8uNP/LII+nSpUuJUkHj9Omnn+bXv/51JkyYkIqKimy11VbZd999rT7eCCjaNBijRo3KeeedlyOOOKJ2rF+/ftl8880zevRoRRvqwWGHHZaLLrookydPznbbbZeampq8/PLLueuuu3LWWWeVOh40CoMGDcrpp5+eiRMnpqqqKg899FDeeeed/P73v8/VV19d6njQaHz88ccZMGBAZs6cmU6dOqWqqir33XdfRo4cmbvvvjsdOnQodUTqkHO0aTC6deuWRx55ZIXpcu+//37233//vPHGGyVKBo3LTTfdlDvvvDP/+Mc/kvxzuupxxx233JdgQN165plnctNNN2XcuHG117M/7rjj8vWvf73U0aDROO200zJz5syMGDEi7dq1S5LMmDEjp512Wjp06JCrrrqqxAmpS4o2Dcbee++dU089Nfvuu+9y44888kiGDx+eP/zhDyVKBo3T7NmzkyRt27YtcRIAqH8777xzbr/99nz5y19ebvyNN97IcccdlxdffLFEyagPpo7TYBx++OG59NJLM2fOnOy4444pKyvL2LFjM2LEiP911UegeAo2rF6qq6szderUbLTRRqWOAo1CkyZN0rx58xXGmzVrliVLlpQgEfVJ0abBOOqoo/Lhhx/m8ssvT1VVVWpqalJRUZFvfetbOfnkk0sdDxq1GTNmpFevXnnrrbdKHQUarVmzZqVv374+h1BPdtxxx9xwww356U9/mrXWWitJsnTp0tx4443ZYYcdSpyOumbqOA3O/Pnz88477yRJttxyS6s6wmrg008/zW233ZZTTjml1FGg0Vq8eHEee+yx9O/fv9RRoFGYPHlyDj/88Ky99trZbrvtUlZWljfeeCPz58/PHXfckW222abUEalDijYNiksoAACwuvjoo49y1113ZdKkSampqUnXrl1z+OGHZ9NNNy11NOqYok2D8XmXUJgyZUrWW289l1CAEluyZEneeOON7LzzzqWOAo3C4sWL85vf/CaTJk1K06ZN07Vr1+yzzz6pqHDWIEB9ULRpMFxCAUpv3LhxufDCCzNhwoRUV1evsN25oVD3PvjggxxxxBGZP39+7RfP7733XjbaaKPccsst2WSTTUodERq1xYsX5/HHH89BBx1U6ijUofJSB4CiPPfccznnnHNqS3aSrL/++jnnnHPy7LPPljAZNB5Dhw5NRUVFLr744qy11lr50Y9+lO9+97upqKjI8OHDSx0PGoWLL7442267bZ555pk8+OCD+dWvfpU//vGP2WCDDTJ48OBSx4NG75NPPsm5555b6hjUMfOHaDBcQgFK769//WtGjx6dbt265YEHHkjXrl1zxBFHpEOHDrnvvvuyzz77lDoiNHgvv/xyHnjggbRu3bp2rF27djn33HPz7W9/u4TJgOSfn8ennnqq1DGoY45o02B8dgmFpUuX1o65hALUr+rq6rRv3z5J0qlTp0ycODFJ0rdv34wfP76U0aDR6NChQ6ZPn77C+Ny5c13fHlYD5eXl2XjjjUsdgzrmiDYNxplnnpnDDz88/fr1+9xLKAB1b8stt8yYMWPyjW98I5tvvnnefPPNJP+cJmdmCdSdjz76qPb2kUcemQsvvDA/+tGPstNOO6W8vDx/+9vfcvHFF+e0004rYUpofMaPH5/Ro0fn3XffzTXXXJMnn3wynTt3Ts+ePUsdjTpmMTQaFJdQgNJ64IEHcskll2TIkCHZdtttc+CBB+bQQw/NK6+8kvXXXz+jRo0qdURokCorK1NWVlZ7/7Nf7/7rWFlZmUUJoZ789a9/zRFHHJHu3bvn1VdfzeOPP56bbropDz30UK677rrsueeepY5IHVK0aTCuu+66DBw4MC1atFhufP78+bnmmmtywQUXlCgZNC5PPvlk1l133ey888559NFHc9NNN6Vjx4750Y9+ZLVjqCMvvfTSSu+7yy671GES4DNHH310unfvnjPOOCM77LBDfv3rX2fTTTfNFVdckZdeeikPPPBAqSNShxRt1miTJ0/OrFmzkiRHHXVUrr322qyzzjrL7TNx4sT89Kc/zeuvv16KiAAANEI777xzfvnLX6ZTp07LFe33338/Bx54YF599dVSR6QOOUebNdoHH3yQE088sXZq3CmnnPK5+x188MH1GQsataeffjqjRo3KO++8k3vvvTcPPPBANttsM9cLhXpy3nnn/Y/bhw4dWk9JoHFba621Mn/+/BXGP/rooxVmYNLwKNqs0fbYY4/84Q9/SHV1dfbaa6/88pe/XO462mVlZWnZsmXWXXfd0oWERuS5557LKaeckv322y+vvfZaqqurU1VVlfPPPz9VVVW+9IJ68Pe//325+8uWLcsHH3yQBQsWZN999y1RKmh89tprr1x11VW5+uqra8cmT56cIUOGZI899ihdMOqFqeM0GB9++GE22mij5RZ+AerX4Ycfnr333jtHH330ctPkRo0alYceeiiPPPJIqSNCo1RTU5OLL744bdu2zRlnnFHqONAozJ8/P9/73vfy+uuvp6amJq1bt878+fNTWVmZ22+/3YGgBk7RpsFbunRpXnvttfTo0aPUUaDB22GHHfKrX/0qm2222XJF+4MPPsj+++9vrQQooffeey/f+c538txzz5U6CjQqL7zwQsaNG5fq6up07do1vXr1Snl5ealjUcf8F6bBmzt3bo466qhSx4BGoXXr1pk2bdoK45MmTVphoUKgfs2YMSOffvppqWNAo3HUUUdl3rx52XXXXTNw4MAcd9xx6d27d2bPnm3dkkbAOdo0eOuss05Gjx5d6hjQKBxwwAEZMmRIhgwZkrKysixYsCBPP/10LrvsMueGQj257rrrVhj75JNP8uijj+Y//uM/SpAIGo+nn346b775ZpJkzJgxGTlyZFq2bLncPlOmTMmHH35YinjUI1PHASjM0qVLc+655+bRRx9N8s8FCWtqarLHHnvkmmuuSbNmzUqcEBq+Pn36rDC21lprZccdd8wPfvCDtG/fvgSpoHF4++23c8IJJ6SmpiYff/xxNtxww+WmiX+2UO9RRx2VQw89tIRJqWuKNg3K1KlTc9ddd2XChAmpqKjIVlttlW9961vZeOONSx0NGpUpU6bkrbfeqj0frUuXLqWOBAD1qk+fPrn//vuXuyIOjYeiTYMxceLEDBgwIM2bN0+3bt1SVVWVv/71r1m4cGF+8YtfZKuttip1RGi0lixZkjfeeCM777xzqaNAozFr1qwsXrw4//VXvY022qhEiQAaD0WbBuN73/teWrZsmWHDhqVp06ZJksWLF+ess87K4sWLc9NNN5U4ITR848aNy4UXXpgJEyakurp6he1vvfVWCVJB4/LGG2/k9NNPz8cff7zceE1NTcrKynwOoQ717ds3999/f9q2bZs+ffr8j5edfeqpp+oxGfXNYmg0GC+//HLuvffe2pKdJM2aNcvJJ5+cAQMGlDAZNB5Dhw5NRUVFLr744gwePDjnnntu3n///dx111356U9/Wup40Chceuml2XDDDXP++eenTZs2pY4DjUr//v3TvHnz2tv/U9GmYVO0aTDWXnvtLFmyZIXxzxsD6sZf//rXjB49Ot26dcsDDzyQrl275ogjjkiHDh1y3333ZZ999il1RGjwJk2alAcffNDaCFACp5xySu3tQYMGpbq6OnPmzKk9T/vVV1/Ndtttl7XWWqtUEaknrqNNg9GzZ8/89Kc/zZw5c2rHZs2alWHDhqVnz56lCwaNSHV1de2Kxp06dcrEiROT/HMq3fjx40sZDRqNDh06ZNGiRaWOAY3elClT8rWvfS233HJL7dgJJ5yQgw46aIVTO2h4FG0ajDPPPDPvv/9+9txzz/Tv3z/f/OY307dv30yZMiXnnHNOqeNBo7DllltmzJgxSZLNN9+89lqin3zyidklUE9OOumkDB48OO+8884KC6EB9WfIkCHp0qVLBg4cWDv229/+NptsskmGDh1awmTUB1PHaTA6dOiQRx99NL/61a8yadKk1NTU5JBDDskBBxyQ1q1blzoeNAoDBgzIBRdckCT52te+lgMPPDDNmzfPK6+8ku2337604aABq6ysXO5c0Jqamuy3336fu6/F0KB+vPLKK/nlL3+Z9ddfv3asXbt2OfPMM/Od73ynhMmoD4o2Dcraa6+dI444otQxoNE6+OCDs84662TddddN586dc8UVV+Smm25Kx44d86Mf/ajU8aDBuvzyyy26BKuZioqKzJ49O506dVpufOHChSVKRH1yeS/WaC6hAADLe+CBB7LnnnvWLr4ElMY555yTSZMm5eqrr87mm2+eJPnggw9y1llnZeONN85VV11V4oTUJUWbNdp1112XgQMHpkWLFrn22mv/x6L976tAAnXjvPPO+9zxsrKyrLXWWunQoUP23nvvFb7dB4qz2267Zfbs2dl+++3Tt2/f9OvXL5tuummpY0GjM2vWrBx77LGZMGFC7aX25s2bl2233TY33nhj7eKhNEyKNgCFOfPMM/Poo4+mffv2+fKXv5wkGTduXKZOnZru3btnzpw5+fjjj3Pbbbdlp512KnFaaLjeeOONPPPMM/nTn/6Uv/3tb+ncuXP69u2bvn37plu3bqWOB41GVVVVXnjhhUycODEVFRXp0qVLdt11V6d6NAKKNg3KuHHj8vOf/zyTJk1K06ZN07Vr1xx33HHZbLPNSh0NGoULL7ww8+fPz09/+tM0bdo0SbJs2bJceOGFadGiRS6++OIMGzYsr7/+eu64444Sp4XG4aOPPso111yT3/zmN6mpqbEYGqwGFi1alObNm5c6BnVI0abBeP755zNw4MBsv/326d69e6qqqvLKK69k0qRJufnmm11LG+rBzjvvnHvuuSddunRZbnzy5Mk5/PDDM2bMmLz33nv55je/mVdeeaVEKaFhq66uzhtvvJEXX3wxf/nLX/Lqq68mSXbaaafsuuuu+d73vlfihNA4zJ07NzfeeGMmTJiQqqqqJP+8IsDSpUszadKkvPzyyyVOSF2y6jgNxtChQ3PiiSfmtNNOW2788ssvz09/+tM8+OCDJUoGjUdFRUVmzJixQtGePn167TS5qqqqVFT45wfqys4775xFixZlp512ys4775wTTzwxO+ywQ+0sE6B+/PjHP85zzz2X3XbbLY899lj222+/TJ48OePGjcsPfvCDUsejjpWXOgAUZcqUKTnooINWGP/2t7+dt99+u/4DQSP09a9/PRdddFGef/75LFiwIPPnz8+zzz6bSy65JH379s2nn36aG2+8sfb8baB4u+66a1q1apXJkyfnvffey5QpUzJt2rRSx4JG59lnn80VV1yRYcOGZcstt8zAgQPz4IMP5tBDD/W7aSPgkAINxnbbbZeXXnqp9vIJn3n99ddXOLoG1I3zzjsvZ599do499tjlFnrZZ599csEFF+T555/PmDFjctNNN5UwJTRs119/faqrq/PXv/41zz//fB555JEMGTIk7dq1S8+ePTN06NBSR4RGYcGCBenatWuSpHPnzhk/fnwqKyszYMCAHH/88SVOR11TtFmjPfzww7W3d9pppwwePDjvvPNOdtppp5SXl+dvf/tbbr/99nz/+98vXUhoRJo3b54RI0bkgw8+yFtvvZUmTZpk6623ziabbJIk2X333fP000+XOCU0fOXl5enWrVsqKyuz7bbb5qmnnsqDDz6Y3/zmN4o21JOOHTvmww8/TMeOHbPFFltk/PjxSZIWLVpk7ty5JU5HXbMYGmu0ysrKldqvrKzMKqtQj2bMmJGlS5fmv/4Ts9FGG5UoETQeb731Vp577rk899xzeeWVV9K0adPstttu2WOPPbLHHntknXXWKXVEaBSuuuqqPProo/npT3+apUuX5vTTT8+ll16aJ598MpMmTcqvfvWrUkekDjmizRrts28GgdXDa6+9lnPOOSfvv//+cuM1NTW+8IJ60r9//2y00Ubp06dPjjvuuPTo0SNrrbVWqWNBozNo0KAsWrQoH3/8cQ444IDss88+Of3009O6deuMGDGi1PGoY45oA1CYQw45JOXl5TnhhBPSunXrFbbvsssuJUgFjcuECROy9dZblzoGNHofffRROnTokPLyf60/PWfOnLRq1Srjxo1Lt27dSpiOuqZoA1CYL3/5y7nvvvvypS99qdRRoFH74x//mJEjR2bChAmpqKhIly5dMnDgwPTr16/U0aDR+NKXvpTnnnsu7dq1W258ypQp+cY3vpHXX3+9RMmoD6aOA1CYjh07ZunSpaWOAY3ak08+mUGDBqVfv37Zb7/9Ul1dnTFjxuS0007Ltddem759+5Y6IjRYd911V2677bYk/zxt6uCDD17uiHaSzJs3z5oljYAj2gAU5uGHH84999yTSy+9NFtuuaXzQqEE+vfvn7322muFK25cd911+dOf/pT777+/RMmg4Vu4cGFGjRqVmpqaXH/99TnmmGOy9tprL7fP2muvna997WvZeOONS5SS+qBoA1CYPn36ZPr06amqqvrc7RZDg7rXrVu3/OY3v8nmm2++3Ph7772XAw880HRVqCfXXXddBg4cmBYtWpQ6CiVg6jgAhRk0aFCpI0Cjt8EGG+S999773KL9eYsUAnXjlFNOybJlyzJt2rTaL6BramqyZMmSvP766znooINKG5A65Yg2AEAD8rOf/Sy//vWvc/HFF2ennXZKkrz88su59NJL06dPn1x44YUlTgiNwwsvvJCzzjorM2fOXGFb8+bN8+qrr5YgFfVF0QagUH/4wx8yYcKE5aaPf/bt/ejRo0uYDBqHxYsX54wzzsgf/vCHlJWVJfnnUbTevXvnZz/7mWmsUE8OPfTQrLfeejnyyCNzyimnZNiwYfnoo48yYsSIDB06NHvttVepI1KHTB0HoDBXX311brrppmywwQb5xz/+kQ033DAzZsxIVVVV9ttvv1LHg0ahWbNmueGGGzJ58uRMmDAhSbL11lunc+fOJU4GjcuECRPyy1/+MltvvXW22WabtGzZMkceeWRatmyZUaNGKdoNXPn/vgsArJxf/epX+dGPfpRnnnkmG264Ye6+++48++yz2XHHHbPpppuWOh40Kp07d86+++6bfffdV8mGEmjSpElatWqVJNliiy0yceLEJEnPnj0zefLkUkajHijaABRmxowZ6d27d5KksrIyb7zxRtZdd92cccYZeeyxx0qcDhquysrKfOlLX1qpH6B+VFZW5oknnkiSdOrUKS+//HKSZOrUqaWMRT0xdRyAwqyzzjpZsGBBkmTzzTfP22+/nSTZaKONMm3atFJGgwZtyJAhKS93/ARWJ8cdd1xOOeWUNG3aNPvtt19GjBiR448/PhMmTEjPnj1LHY86ZjE0AApz5plnZvbs2Rk8eHDGjh2bkSNH5o477sivfvWr3HHHHfnDH/5Q6ojQIPXu3Tv33XdfNtxwQ9fuhdXI3/72tzRp0iSVlZUZM2ZMbrvttnTs2DGnnnpq1l133VLHow4p2gAUZtq0aTnhhBNy0EEH5Ygjjsjhhx+et956K0ly7rnn5rvf/W6JE0LD1K1bt9x5553p1q1bvvSlL+W5555Lu3btSh0LoNFStAEo3OLFi9OsWbMsWrQof/7zn7PhhhumW7dupY4FDdbAgQMzZsyYrL/++vnoo4/SsWPH/3Yq+VNPPVXP6aDxOO+881Z636FDh9ZhEkrNOdoAFKq6ujpjx47NxIkTU15enm233VbJhjp29dVX5+GHH868efNy3XXXZe+9987aa69d6ljQ6Pz973+vvV1TU5OxY8dm/fXXzzbbbJOKioqMHz8+06ZNS9++fUuYkvqgaANQmOnTp2fgwIGZNGlS2rRpk5qamnzyySfZcccdc9NNN6V169aljggNUps2bXLUUUclST788MN8//vfr72s0L9bvHhxfUeDRuWOO+6ovT18+PBsuOGGGTp0aJo2bZokqaqqykUXXZSysrJSRaSeWJ4SgML8+Mc/TtOmTfPYY4/lpZdeypgxY/Kb3/wmixYtyuWXX17qeNAodOvW7XNL9tixY/ONb3yjBImgcbrnnnty8skn15bs5J/X1h44cKBLXjYCijYAhXn++edz6aWXZsstt6wd22qrrXLxxRc7LxTqyZAhQ3L//ffX3l+8eHGGDBmSI488Mh07dixhMmhcKioq8tFHH60wPnny5LRs2bIEiahPpo4DUJg2bdpk6dKlK4w3adIkFRX+yYH6MHz48Jx55pmpqKjIJptskvPOOy/z5s3LZZddlkMOOaTU8aDR2H///XPBBRfk9NNPz3bbbZeampq8/PLLufbaa3PEEUeUOh51zKrjABTmwQcfzO23354rr7wylZWVSZIPPvggZ599dvbff/985zvfKXFCaByeeuqp/OAHP8jSpUvzta99LT/60Y+y3nrrlToWNCpLlizJ4MGD89BDD2XZsmWpqalJs2bNMmDAgJx55pnO027gFG0ACtO7d+/MnDkzVVVVWXvttVNRUZG5c+empqZmhV8oPru+NlA3nn766Zx22mm5/PLLs++++5Y6DjRaCxYsyLvvvpsk6dy5c1q0aFHiRNQHRRuAwjz00EMrvW///v3rMAk0LpWVlZ97dMyXXACloWgDAKzhHnzwwZWehupLLiitWbNm5dBDD7VIaANnZRoA6tzSpUvz2muvpUePHqWOAg3SN7/5zdrbl112Wb773e9ms802K2Ei4L/TtGnT7LLLLqWOQR1zRBuAOjdjxoz06tXLlFWoBzvttFN+9atfZZNNNil1FIBGy3W0Aahz66yzTkaPHl3qGNAo7LHHHrnzzjszf/78UkcBaLQc0QYAaEC+/e1v59VXX01ZWVnWW2+9NGvWbLntzguF+jFlypRceOGF+etf/5pFixatsN0sr4bNOdoAfCEPP/xw9t133zRt2jQPP/zw/7jvQQcdVC+ZoDH7j//4j/zHf/xHqWNAo3fhhRdmxowZOe2007LOOuuUOg71zBFtAL6QysrKPPfcc1lvvfVSWVn53+5XVlbm23sAGo3u3bvnrrvuynbbbVfqKJSAI9oAfCHjx4//3NtA6fztb3/LqFGjMmHChFRUVKRLly757ne/m27dupU6GjQabdu2XeHUDRoPi6EBULh33nknjz/+eJ588sm8++67pY4DjcrYsWNz+OGHZ8qUKdltt93So0ePvPvuuzniiCPy8ssvlzoeNBoDBgzI8OHDs2DBglJHoQRMHQegMEuWLMmZZ56Z3//+97VjZWVl2XPPPfOzn/0sTZs2LWE6aByOOOKIVFZW5qKLLlpu/NJLL83bb7+dO+64o0TJoOHr06dPysrKau9/+OGHqaioSPv27VNevvwxTgsTNmymjgNQmKuvvjpvvPFGbrzxxvTo0SNVVVUZM2ZMBg8enGuvvTY//OEPSx0RGry//e1vGTx48ArjAwYMyCGHHFKCRNB49O/ff7miTeOlaANQmEceeSSDBw9O7969a8f22muvNGnSJJdeeqmiDfWgbdu2mTlzZrbccsvlxmfOnGlWCdSxQYMGLXe/uro6c+bMSbt27ZIkr776arbbbrustdZapYhHPXKONgCFmT9/fjbffPMVxjt16pRZs2aVIBE0PnvuuWcuu+yyTJ48uXbs7bffzpAhQ7LnnnuWMBk0LlOmTMnXvva13HLLLbVjJ5xwQg466KB8/PHHJUxGfVC0AShM165d89vf/naF8cceeyydOnUqQSJofE4//fSstdZa2X///bPLLrvkK1/5Sg444IAkydlnn13idNB4DBkyJF26dMnAgQNrx377299mk002ydChQ0uYjPpgMTQACvOnP/0pJ598cvr165eddtopZWVlGTt2bJ544okMGzYs++67b6kjQoM3YMCA7LHHHmnevHkWLVqUmpqadO3aNbvttluaNGlS6njQaOy888755S9/ucIXzZMmTcp3vvOdvPTSSyVKRn1wjjYAhdljjz0yYsSI3HzzzRk+fHjtL/jDhw/P3nvvXep40Ch069YtDz/8cN5+++1stdVW6du3b9q1a6dkQz2rqKjI7NmzVyjaCxcuLFEi6pMj2gB8IQ8//PBK73vQQQfVWQ5geX//+9/z9NNP5+mnn85LL72UddZZJ3379l3hsl9A3TjnnHMyadKkXH311bXrl3zwwQc566yzsvHGG+eqq64qcULqkqINwBdSWVm53P3PLmvSvHnzVFRU5JNPPkmTJk3Stm3bPPvss6WICI3WtGnT8sILL+Tpp5/O7373uyTJuHHjSpwKGodZs2bl2GOPzYQJE9KmTZskybx587LtttvmxhtvTPv27UuckLqkaANQmMceeyy33HJLhg4dWlvA33333Zx33nnZb7/9cuSRR5Y4ITR8jz32WP7yl7/kxRdfzPvvv5+OHTtm1113rf1Zb731Sh0RGoWamppUV1fnhRdeyMSJE1NRUZEuXbpk1113da3tRkDRBqAwffr0ydVXX53u3bsvN/7mm2/mpJNOckQb6kFlZWXKy8uz11575aSTTsqXvvSlUkeCRumb3/xmLr/88hVmftE4WAwNgMLMmTMnzZo1W2G8uro6ixYtKkEiaHyuu+66/OUvf8nzzz+fQw89NNttt1169uyZnj17Zscdd0zTpk1LHREahQ8//DAtW7YsdQxKxBFtAApz0kknZe7cufnpT3+aTTbZJEkyefLknHXWWdlyyy0zbNiwEieExuWzc7Sfe+65/P73v09ZWVlee+21UseCRuHWW2/N008/nYEDB2azzTZL8+bNl9u+0UYblSgZ9UHRBqAw06ZNy8CBAzN58uTlFn7p1q1bbr755qyzzjolTgiNx7Rp0/Lcc8/lueeey/PPP59FixblP/7jP3LdddeVOho0Cv8+Zfzfz8muqalJWVlZ3nrrrVLEop4o2gAUqqqqKs8//3wmTZqUJPnSl76Unj17WvgF6smQIUPy/PPP55133skGG2yQPfbYI3369Mmuu+5q2jjUo5deeul/3L7LLrvUUxJKQdEGAGhAvvnNb6ZPnz7Zc889s+2225Y6DkCjpGgDAAAUbMmSJbn33nszYcKEVFVVLTf+5ptv5ve//30J01HXrDoOAABQsMsvvzwPPvhgtt1227z++uvZYYcdMmXKlMycOTNHH310qeNRx8pLHQAAAKChefLJJ/OTn/wkv/jFL7LJJpvksssuyx//+Mf07ds3S5cuLXU86piiDQAAULA5c+Zk++23T5J07do148aNy1prrZUTTjghf/zjH0sbjjqnaAMAABRs/fXXz8yZM5Mkm222WSZOnJgkadu2bWbMmFHKaNQDRRsAAKBgvXv3zsUXX5wJEyZkxx13zG9+85u8+eabueuuu9KhQ4dSx6OOKdoAAAAFO/PMM9OhQ4eMHTs2ffv2zVZbbZVDDz00d9xxR0499dRSx6OOubwXAABAPRg3blzWX3/9bLDBBqWOQh1zRBsAAKAOLFq0KA8//HCuuuqqzJkzJ/Pnz09FhSssNwb+KwMAABRsxowZOfzwwzNjxowsWbIk3/rWt3LbbbflzTffzOjRo9OlS5dSR6QOOaINAABQsJ/85Cfp0qVLXnjhhTRr1ixJcsUVV6SysjI//elPS5yOuqZoAwAAFOwvf/lLTj311LRo0aJ2bJ111slZZ52V1157rXTBqBeKNgAAQMEWLFiwXMn+d8uWLavnNNQ3RRsAAKBgPXr0yF133bXc2NKlS3P99ddnxx13LFEq6ovLewEAABRs8uTJ+c53vpMNNtgg77zzTr7yla/knXfeybx583LXXXelsrKy1BGpQ4o2AABAHZg+fXp+8YtfZNy4camurk779u1z0kknZdNNNy11NOqYqeMAAAAFmzdvXq699trsvffeueGGG7JkyZI8+OCDOf744/PBBx+UOh51TNEGAAAo2NChQ/OXv/wlFRUV+cMf/pBXX301V155ZTbffHOX92oEKkodAAAAoKF5+umnc/3116dz58657bbb8tWvfjUHHHBAunbtmgEDBpQ6HnXMEW0AAICCffrpp+nYsWOS5Pnnn89Xv/rVJEmLFi1SVVVVymjUA0e0AQAACta5c+f86U9/SseOHfPxxx9n9913T5Lcd9996dy5c4nTUdcUbQAAgIKdeuqpGTRoUJYuXZr9998/W2yxRYYOHZq77ror119/fanjUcdc3gsAAKAOzJ49O9OmTau9Zvbrr7+eVq1aOaLdCCjaAAAAUCCLoQEAAECBFG0AAAAokKINAAAABVK0AQAAoECKNgA0IA8++GC23nrr/P3vfy91lCTJ1ltvnWuvvbbUMQCgXrmONgBQZ+6999506NCh1DEAoF4p2gBAndl+++1LHQEA6p2p4wCwhqqurs4NN9yQPfbYI927d8/JJ5+cuXPnLrfPm2++mYEDB+YrX/lKdtxxx5x44omZNGlS7fYXX3wxW2+9dV544YUceeSR6datW/bYY4/88pe/zPTp03PKKadkhx12SO/evfPzn/98ueceP358TjnllPTs2TPbbrttevXqlcGDB2fRokW1+/z71PF/f61jjz023bt3z1e/+tVcccUVWbZsWd39QQFAPVO0AWANdeWVV+b666/PwQcfnOuuuy5t27bNVVddVbv9L3/5S7797W+nuro6Q4YMyeDBg/Pxxx/n8MMPz+TJk5d7rh/84Afp06dPRo4cmS222CIXX3xxjjrqqHTt2jUjRozItttum6FDh+aNN95IkkyfPj3f+c53snDhwvzkJz/JLbfckn322Sd33HHHCoX8vzrzzDOz0047ZeTIkTnggANy22235f777y/8zwcASsXUcQBYA82bNy933HFHjjrqqAwaNChJ0qtXr0ybNi1//vOfkyRXXXVVNt1009x6661p0qRJkmS33XZLv379cu211+ZnP/tZ7fMdfPDBOeaYY5IkLVu2zGGHHZZu3brl1FNPTZJst912eeqpp/LKK6+kW7dumThxYr70pS/lmmuuSatWrZIkX/3qV/PCCy9kzJgxOfHEE//b7Iceemi+//3vJ0l23XXXPPnkk/nTn/6Uww8/vNg/JAAoEUUbANZAr732WpYuXZq+ffsuN77PPvvkz3/+cxYuXJg333wz3//+92tLdpK0adMme+65Z55++unlHrfDDjvU3l5//fWTJN27d68da9u2bZLkk08+SfLPwr7bbrtl6dKleffdd/Pee+9lwoQJmTVrVtZdd93/Mfu/v1aSdOjQIZ9++ulKvnMAWP0p2gCwBvrsXOx27dotN96+ffsk/zziXVNTU1ua/936669fW5g/89lR6X/XokWL//b1q6urM3z48Nx111359NNP07Fjx3Tr1i3NmjX7X7M3b958ufvl5eWpqan5Xx8HAGsKRRsA1kCfHWGeOXNmttxyy9rxOXPmJPnnkeuysrLMmDFjhcf+4x//+F+POv9vbr755vz85z/PJZdckq9//etp3bp1kuSQQw75Qs8LAA2BxdAAYA20ww47pHnz5vntb3+73Pgf//jHJP88Gr3ddtvlscceS1VVVe32Tz75JH/605+y0047faHXf/nll9OlS5cccsghtSV72rRpmThxYqqrq7/QcwPAms4RbQBYA6299to5+eST87Of/SwtWrRIz5498/TTT9cW7ST54Q9/mIEDB+Z73/teBgwYkKVLl+bmm2/OkiVLcsopp3yh1+/WrVtuuOGG3Hzzzdl+++0zZcqU3HTTTVmyZEkWLlz4Rd8eAKzRFG0AWEOdcMIJadmyZUaPHp3Ro0dnhx12yDnnnJNLLrkkyT9X9L799tszYsSI/OAHP0jTpk2z884754orrshWW231hV979uzZ+X//7//l+uuvT8eOHXPggQemrKwsN910U+bOnZt11lmngHcJAGueshqrjwAAAEBhnKMNAAAABVK0AQAAoECKNgAAABRI0QYAAIACKdoAAABQIEUbAAAACqRoAwAAQIEUbQAAACiQog0AAAAFUrQBAACgQIo2AAAAFEjRBgAAgAL9f567GFfPjvbTAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns \n", + "sns.set(rc={'figure.figsize':(11.7,8.27)})\n", + "\n", + "ax = sns.barplot(x=df_domains[\"domain\"].head(20), y=df_domains[\"FAIReval\"])\n", + "ax.tick_params(axis='x', rotation=90)\n", + "ax" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "ca3a3798", + "metadata": {}, + "outputs": [], + "source": [ + "ax.get_figure().savefig('domains.pdf')\n", + "ax.get_figure().savefig('domains.png')" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "6032203f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Serialized 1000 FAIR metrics evaluations\n" + ] + } + ], + "source": [ + "from string import Template\n", + "from rdflib import ConjunctiveGraph\n", + "\n", + "FC_spec = [\n", + " {'id': 'F1A', 'category': 'Findable', 'label': 'Unique IDs', 'definition': ''}, \n", + " {'id': 'F1B', 'category': 'Findable', 'label': 'Persistent IDs', 'definition': ''}, \n", + " {'id': 'F2A', 'category': 'Findable', 'label': 'Structured metadata', 'definition': ''}, \n", + " {'id': 'F2B', 'category': 'Findable', 'label': 'Shared vocabularies for metadata', 'definition': ''}, \n", + " {'id': 'A11', 'category': 'Accessible', 'label': 'Open resolution protocol', 'definition': ''}, \n", + " {'id': 'A12', 'category': 'Accessible', 'label': 'Authorisation procedure or access rights', 'definition': ''}, \n", + " {'id': 'I1', 'category': 'Interoperable', 'label': 'Machine readable format', 'definition': ''}, \n", + " {'id': 'I2', 'category': 'Interoperable', 'label': 'Use shared ontologies', 'definition': ''}, \n", + " {'id': 'I3', 'category': 'Interoperable', 'label': 'External links', 'definition': ''}, \n", + " {'id': 'R11', 'category': 'Reusable', 'label': 'Metadata includes license', 'definition': ''}, \n", + " {'id': 'R12', 'category': 'Reusable', 'label': 'Metadata includes provenance', 'definition': ''}, \n", + " {'id': 'R13', 'category': 'Reusable', 'label': 'Community standards', 'definition': ''}\n", + "]\n", + "\n", + "prefix = \"\"\"\n", + "@prefix daq: .\n", + "@prefix dcat: .\n", + "@prefix dcterms: .\n", + "@prefix dqv: .\n", + "@prefix duv: .\n", + "@prefix oa: .\n", + "@prefix prov: .\n", + "@prefix sdmx-attribute: .\n", + "@prefix skos: .\n", + "@prefix xsd: .\n", + "@prefix rdfs: .\n", + "\n", + "@prefix : .\n", + "\n", + "\"\"\"\n", + "\n", + "FAIR_Checker_template = \"\"\"\n", + ":$metric_id\n", + " a dqv:Dimension ;\n", + " skos:prefLabel \"$metric_label\"@en ;\n", + " skos:definition \"$metric_definition\"@en ;\n", + " dqv:inCategory :$category .\"\"\"\n", + "\n", + "metrics_tpl = \"\"\"\n", + ":$id\n", + " a dqv:QualityMeasurement ;\n", + " dqv:computedOn <$url> ;\n", + " dqv:isMeasurementOf :$dimension ;\n", + " dqv:value \"$value\"^^xsd:integer ;\n", + " prov:generatedAtTime \"$date\"^^xsd:dateTime ;\n", + " prov:wasAttributedTo ;\n", + " rdfs:seeAlso .\"\"\"\n", + "\n", + "client = MongoClient()\n", + "db = client.fair_checker\n", + "evaluations = db.evaluations\n", + "\n", + "with open('fc_evaluations_dump.ttl', mode='w') as file_object:\n", + " print(prefix, file=file_object)\n", + "\n", + " for spec in FC_spec:\n", + " spec_ttl = Template(FAIR_Checker_template).safe_substitute(metric_id=spec['id'], \n", + " metric_label=spec['label'], \n", + " metric_definition=spec['definition'], \n", + " category=spec['category'])\n", + " print(spec_ttl, file=file_object)\n", + " \n", + " i = 0\n", + " for e in evaluations.find({}):\n", + " d = None\n", + " if e[\"ended_at\"]:\n", + " d = e[\"ended_at\"].isoformat()\n", + " if e['success']:\n", + " eval_ttl = Template(metrics_tpl).safe_substitute(id=str(e['_id']), \n", + " url=e['target_uri'].strip(), \n", + " dimension=e['metrics'], \n", + " value=e['success'],\n", + " date=d)\n", + " print(eval_ttl, file=file_object)\n", + " i+=1 \n", + " if (i % 1000) == 0:\n", + " print(f\"Serialized {i} FAIR metrics evaluations\")\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "92a57e56", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "8827cd98", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loaded 9666 triples.\n" + ] + } + ], + "source": [ + "from rdflib import ConjunctiveGraph\n", + "\n", + "kg = ConjunctiveGraph()\n", + "kg.parse(\"fc_evaluations_dump.ttl\", format=\"turtle\")\n", + "print(f\"Loaded {len(kg)} triples.\")" + ] + }, + { + "cell_type": "markdown", + "id": "33d39acd", + "metadata": {}, + "source": [ + "# SPARQL stat queries " + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "0666a281", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(rdflib.term.Literal('20', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer')),)\n" + ] + } + ], + "source": [ + "#Unique evaluated resources \n", + "q = \"\"\"\n", + "PREFIX dqv: \n", + "\n", + "SELECT (count(distinct ?obj) as ?count) WHERE {\n", + " ?sub dqv:computedOn ?obj .\n", + "} \n", + "\"\"\"\n", + "\n", + "res = kg.query(q)\n", + "for r in res:\n", + " print(r)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "2690d57b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(rdflib.term.Literal('4', datatype=rdflib.term.URIRef('http://www.w3.org/2001/XMLSchema#integer')),)\n" + ] + } + ], + "source": [ + "#Improved FAIRness\n", + "q1 = \"\"\"\n", + "PREFIX prov: \n", + "PREFIX rdf: \n", + "PREFIX rdfs: \n", + "PREFIX dqv: \n", + "\n", + "SELECT distinct ?url ?delta_day ?p ?m1_value ?m2_value WHERE {\n", + " ?m1 dqv:computedOn ?url .\n", + " ?m1 prov:generatedAtTime ?d1 .\n", + " ?m1 dqv:value ?m1_value .\n", + " ?m1 dqv:isMeasurementOf ?p .\n", + " \n", + " ?m2 dqv:computedOn ?url .\n", + " ?m2 prov:generatedAtTime ?d2 .\n", + " ?m2 dqv:value ?m2_value .\n", + " ?m2 dqv:isMeasurementOf ?p .\n", + "\n", + " filter (?d1 < ?d2)\n", + " filter (?m2_value > ?m1_value)\n", + " bind( ?d2 - ?d1 as ?delta )\n", + " bind( day(?d2 - ?d1) as ?delta_day )\n", + "} \n", + "\"\"\"\n", + "\n", + "q2 = \"\"\"\n", + "PREFIX prov: \n", + "PREFIX rdf: \n", + "PREFIX rdfs: \n", + "PREFIX dqv: \n", + "\n", + "SELECT (count(distinct ?url) as ?fairer_resources) WHERE {\n", + " ?m1 dqv:computedOn ?url .\n", + " ?m1 prov:generatedAtTime ?d1 .\n", + " ?m1 dqv:value ?m1_value .\n", + " ?m1 dqv:isMeasurementOf ?p .\n", + " \n", + " ?m2 dqv:computedOn ?url .\n", + " ?m2 prov:generatedAtTime ?d2 .\n", + " ?m2 dqv:value ?m2_value .\n", + " ?m2 dqv:isMeasurementOf ?p .\n", + "\n", + " filter (?d1 < ?d2)\n", + " filter (?m2_value > ?m1_value)\n", + " bind( ?d2 - ?d1 as ?delta )\n", + " bind( day(?d2 - ?d1) as ?delta_day )\n", + " filter (year(?d1) > 2019)\n", + "} \n", + "\"\"\"\n", + "\n", + "res = kg.query(q2)\n", + "for r in res:\n", + " print(r)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "580741a8", + "metadata": {}, + "outputs": [], + "source": [ + "fairer_resources = [\n", + " (2020, 13),\n", + " (2021, 471),\n", + " (2022, 76), \n", + " (2023, ), \n", + " (2024, )\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "8a0f1f40", + "metadata": {}, + "outputs": [ + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[62], line 27\u001b[0m\n\u001b[1;32m 2\u001b[0m q \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;124mPREFIX prov: \u001b[39m\n\u001b[1;32m 4\u001b[0m \u001b[38;5;124mPREFIX rdf: \u001b[39m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 23\u001b[0m \u001b[38;5;124m} \u001b[39m\n\u001b[1;32m 24\u001b[0m \u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[1;32m 26\u001b[0m res \u001b[38;5;241m=\u001b[39m kg\u001b[38;5;241m.\u001b[39mquery(q)\n\u001b[0;32m---> 27\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m r \u001b[38;5;129;01min\u001b[39;00m res:\n\u001b[1;32m 28\u001b[0m \u001b[38;5;28mprint\u001b[39m(r)\n", + "File \u001b[0;32m~/miniconda3/envs/fair-checker/lib/python3.9/site-packages/rdflib/query.py:373\u001b[0m, in \u001b[0;36mResult.__iter__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 369\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtype \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSELECT\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 370\u001b[0m \u001b[38;5;66;03m# this iterates over ResultRows of variable bindings\u001b[39;00m\n\u001b[1;32m 372\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_genbindings:\n\u001b[0;32m--> 373\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m b \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_genbindings:\n\u001b[1;32m 374\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m b: \u001b[38;5;66;03m# don't add a result row in case of empty binding {}\u001b[39;00m\n\u001b[1;32m 375\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_bindings\u001b[38;5;241m.\u001b[39mappend(b)\n", + "File \u001b[0;32m~/miniconda3/envs/fair-checker/lib/python3.9/site-packages/rdflib/plugins/sparql/evaluate.py:562\u001b[0m, in \u001b[0;36m\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m 560\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mevalProject\u001b[39m(ctx: QueryContext, project: CompValue):\n\u001b[1;32m 561\u001b[0m res \u001b[38;5;241m=\u001b[39m evalPart(ctx, project\u001b[38;5;241m.\u001b[39mp)\n\u001b[0;32m--> 562\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m (row\u001b[38;5;241m.\u001b[39mproject(project\u001b[38;5;241m.\u001b[39mPV) \u001b[38;5;28;01mfor\u001b[39;00m row \u001b[38;5;129;01min\u001b[39;00m res)\n", + "File \u001b[0;32m~/miniconda3/envs/fair-checker/lib/python3.9/site-packages/rdflib/plugins/sparql/evaluate.py:121\u001b[0m, in \u001b[0;36mevalExtend\u001b[0;34m(ctx, extend)\u001b[0m\n\u001b[1;32m 116\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mevalExtend\u001b[39m(\n\u001b[1;32m 117\u001b[0m ctx: QueryContext, extend: CompValue\n\u001b[1;32m 118\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Generator[FrozenBindings, \u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;28;01mNone\u001b[39;00m]:\n\u001b[1;32m 119\u001b[0m \u001b[38;5;66;03m# TODO: Deal with dict returned from evalPart from GROUP BY\u001b[39;00m\n\u001b[0;32m--> 121\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m c \u001b[38;5;129;01min\u001b[39;00m evalPart(ctx, extend\u001b[38;5;241m.\u001b[39mp):\n\u001b[1;32m 122\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 123\u001b[0m e \u001b[38;5;241m=\u001b[39m _eval(extend\u001b[38;5;241m.\u001b[39mexpr, c\u001b[38;5;241m.\u001b[39mforget(ctx, _except\u001b[38;5;241m=\u001b[39mextend\u001b[38;5;241m.\u001b[39m_vars))\n", + "File \u001b[0;32m~/miniconda3/envs/fair-checker/lib/python3.9/site-packages/rdflib/plugins/sparql/evaluate.py:121\u001b[0m, in \u001b[0;36mevalExtend\u001b[0;34m(ctx, extend)\u001b[0m\n\u001b[1;32m 116\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mevalExtend\u001b[39m(\n\u001b[1;32m 117\u001b[0m ctx: QueryContext, extend: CompValue\n\u001b[1;32m 118\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Generator[FrozenBindings, \u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;28;01mNone\u001b[39;00m]:\n\u001b[1;32m 119\u001b[0m \u001b[38;5;66;03m# TODO: Deal with dict returned from evalPart from GROUP BY\u001b[39;00m\n\u001b[0;32m--> 121\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m c \u001b[38;5;129;01min\u001b[39;00m evalPart(ctx, extend\u001b[38;5;241m.\u001b[39mp):\n\u001b[1;32m 122\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 123\u001b[0m e \u001b[38;5;241m=\u001b[39m _eval(extend\u001b[38;5;241m.\u001b[39mexpr, c\u001b[38;5;241m.\u001b[39mforget(ctx, _except\u001b[38;5;241m=\u001b[39mextend\u001b[38;5;241m.\u001b[39m_vars))\n", + "File \u001b[0;32m~/miniconda3/envs/fair-checker/lib/python3.9/site-packages/rdflib/plugins/sparql/evaluate.py:467\u001b[0m, in \u001b[0;36mevalAggregateJoin\u001b[0;34m(ctx, agg)\u001b[0m\n\u001b[1;32m 463\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m group_expr \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 464\u001b[0m \u001b[38;5;66;03m# no grouping, just COUNT in SELECT clause\u001b[39;00m\n\u001b[1;32m 465\u001b[0m \u001b[38;5;66;03m# get 1 aggregator for counting\u001b[39;00m\n\u001b[1;32m 466\u001b[0m aggregator \u001b[38;5;241m=\u001b[39m res[\u001b[38;5;28;01mTrue\u001b[39;00m]\n\u001b[0;32m--> 467\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m row \u001b[38;5;129;01min\u001b[39;00m p:\n\u001b[1;32m 468\u001b[0m aggregator\u001b[38;5;241m.\u001b[39mupdate(row)\n\u001b[1;32m 469\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n", + "File \u001b[0;32m~/miniconda3/envs/fair-checker/lib/python3.9/site-packages/rdflib/plugins/sparql/evaluate.py:205\u001b[0m, in \u001b[0;36mevalFilter\u001b[0;34m(ctx, part)\u001b[0m\n\u001b[1;32m 200\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mevalFilter\u001b[39m(\n\u001b[1;32m 201\u001b[0m ctx: QueryContext, part: CompValue\n\u001b[1;32m 202\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Generator[FrozenBindings, \u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;28;01mNone\u001b[39;00m]:\n\u001b[1;32m 203\u001b[0m \u001b[38;5;66;03m# TODO: Deal with dict returned from evalPart!\u001b[39;00m\n\u001b[1;32m 204\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m c \u001b[38;5;129;01min\u001b[39;00m evalPart(ctx, part\u001b[38;5;241m.\u001b[39mp):\n\u001b[0;32m--> 205\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[43m_ebv\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 206\u001b[0m \u001b[43m \u001b[49m\u001b[43mpart\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexpr\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 207\u001b[0m \u001b[43m \u001b[49m\u001b[43mc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mforget\u001b[49m\u001b[43m(\u001b[49m\u001b[43mctx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m_except\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpart\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_vars\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mpart\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mno_isolated_scope\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mc\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 208\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m:\n\u001b[1;32m 209\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m c\n", + "File \u001b[0;32m~/miniconda3/envs/fair-checker/lib/python3.9/site-packages/rdflib/plugins/sparql/evalutils.py:85\u001b[0m, in \u001b[0;36m_ebv\u001b[0;34m(expr, ctx)\u001b[0m\n\u001b[1;32m 76\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 77\u001b[0m \u001b[38;5;124;03mReturn true/false for the given expr\u001b[39;00m\n\u001b[1;32m 78\u001b[0m \u001b[38;5;124;03mEither the expr is itself true/false\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 81\u001b[0m \u001b[38;5;124;03man error is false\u001b[39;00m\n\u001b[1;32m 82\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 84\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 85\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mEBV\u001b[49m\u001b[43m(\u001b[49m\u001b[43mexpr\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 86\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m SPARQLError:\n\u001b[1;32m 87\u001b[0m \u001b[38;5;28;01mpass\u001b[39;00m\n", + "File \u001b[0;32m~/miniconda3/envs/fair-checker/lib/python3.9/site-packages/rdflib/plugins/sparql/operators.py:1219\u001b[0m, in \u001b[0;36mEBV\u001b[0;34m(rt)\u001b[0m\n\u001b[1;32m 1215\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mbool\u001b[39m(pyRT)\n\u001b[1;32m 1217\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 1218\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m SPARQLTypeError(\n\u001b[0;32m-> 1219\u001b[0m \u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mhttp://www.w3.org/TR/rdf-sparql-query/#ebv - \u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m + \u001b[39;49m\u001b[38;5;130;43;01m\\\u001b[39;49;00m\n\u001b[1;32m 1220\u001b[0m \u001b[38;5;124;43m \u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mOnly literals have Boolean values! \u001b[39;49m\u001b[38;5;132;43;01m%r\u001b[39;49;00m\u001b[38;5;124;43m\"\u001b[39;49m\n\u001b[1;32m 1221\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m%\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mrt\u001b[49m\n\u001b[1;32m 1222\u001b[0m )\n", + "File \u001b[0;32m~/miniconda3/envs/fair-checker/lib/python3.9/site-packages/rdflib/plugins/sparql/parserutils.py:173\u001b[0m, in \u001b[0;36mCompValue.__repr__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 172\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__repr__\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mstr\u001b[39m:\n\u001b[0;32m--> 173\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mname \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;28;43mdict\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__repr__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/miniconda3/envs/fair-checker/lib/python3.9/site-packages/rdflib/plugins/sparql/parserutils.py:172\u001b[0m, in \u001b[0;36mCompValue.__repr__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 169\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__str__\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mstr\u001b[39m:\n\u001b[1;32m 170\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mname \u001b[38;5;241m+\u001b[39m 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\u001b[38;5;28mbool\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m, errors: \u001b[38;5;28mbool\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 177\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Union[_ValT, Any]:\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "# F delta last in 2023\n", + "q = \"\"\"\n", + "PREFIX prov: \n", + "PREFIX rdf: \n", + "PREFIX rdfs: \n", + "PREFIX dqv: \n", + "PREFIX : \n", + "\n", + "SELECT (count(distinct ?m1) as ?nb_F_success) (count(distinct ?m2) as ?nb_F_failure) WHERE {\n", + " ?m1 prov:generatedAtTime ?d1 .\n", + " ?m1 dqv:value ?m1_value .\n", + " ?m1 dqv:isMeasurementOf ?p1 .\n", + " #?p1 dqv:inCategory :Findable\n", + " filter (?m1_value >= 1)\n", + " \n", + " ?m2 prov:generatedAtTime ?d2 .\n", + " ?m2 dqv:value ?m2_value .\n", + " ?m2 dqv:isMeasurementOf ?p2 .\n", + " #?p2 dqv:inCategory :Findable\n", + " filter (?m2_value < 1)\n", + " \n", + " filter((year(?d1) = 2023) && (year(?d2) = 2023))\n", + "} \n", + "\"\"\"\n", + "\n", + "q2 = \"\"\"\n", + "PREFIX prov: \n", + "PREFIX rdf: \n", + "PREFIX rdfs: \n", + "PREFIX dqv: \n", + "PREFIX : \n", + "\n", + "SELECT (count(distinct ?m1) as ?nb_F_success) (count(distinct ?m2) as ?nb_F_failure) ?year WHERE {\n", + " VALUES ?year {2019 2020 2021 2022 2023 2024}\n", + " \n", + " ?m1 prov:generatedAtTime ?d1 .\n", + " ?m1 dqv:value ?m1_value .\n", + " ?m1 dqv:isMeasurementOf ?p1 .\n", + " #?p1 dqv:inCategory :Reusable .\n", + " filter (?m1_value >= 1)\n", + " \n", + " ?m2 prov:generatedAtTime ?d2 .\n", + " ?m2 dqv:value ?m2_value .\n", + " ?m2 dqv:isMeasurementOf ?p2 .\n", + " #?p2 dqv:inCategory :Reusable .\n", + " filter (?m2_value < 1)\n", + " \n", + " filter((year(?d1) = ?year) && (year(?d2) = ?year))\n", + "} \n", + "GROUP BY ?year\n", + "\"\"\"\n", + "\n", + "res = kg.query(q)\n", + "for r in res:\n", + " print(r)" + ] + }, + { + "cell_type": "markdown", + "id": "abaa09c5", + "metadata": {}, + "source": [ + "## FAIRer resources" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ce1fa8f1", + "metadata": {}, + "outputs": [], + "source": [ + "client = MongoClient()\n", + "db = client.fair_checker\n", + "evaluations = db.evaluations\n", + "\n", + "\n", + "\n", + "db.books.aggregate([\n", + " { $group : { _id : \"$author\", books: { $push: \"$title\" } } }\n", + " ])" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.17" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/stats/cumulated_evals.py b/notebooks/stats/cumulated_evals.py new file mode 100644 index 00000000..70c7b1e2 --- /dev/null +++ b/notebooks/stats/cumulated_evals.py @@ -0,0 +1,43 @@ +import pandas as pd +from pymongo import MongoClient +from datetime import datetime, date, timedelta +from dateutil.relativedelta import relativedelta +import seaborn as sns +import matplotlib.pyplot as plt +from tqdm import tqdm + +client = MongoClient() +db = client.fair_checker +evaluations = db.evaluations + +data_m = {} + +count = 0 +for y in tqdm(range(2018,2024)): + for m in ["01", "02", "03", "04", "05", "06", "07", "08", "09", "10","11", "12"]: + start = datetime.fromisoformat(f'{y}-{m}-01') + end = start + timedelta(days=30) + count += evaluations.count_documents({"started_at": {"$gte": start, "$lt": end}}) + data_m[f"{y}-{m}"] = [count] + +df_m = pd.DataFrame(data_m) +df_m.to_csv("cumulated_months.csv") + +plt.figure(figsize=(12, 6)) +sns.lineplot(data=df_m.iloc[0], marker='o', label='Cumulartive Count Over Time') +plt.xlabel('Year-Month') +plt.ylabel('Cumulative Count') +plt.title('Cumulative Count Over Time') +plt.xticks(rotation=90) +plt.savefig('cumulative_count.png', dpi=300) +plt.show() + +plt.figure(figsize=(12, 6)) +sns.lineplot(data=df_m.iloc[0], marker='o', label='Cumulative Count Over Time') +plt.xlabel('Year-Month') +plt.ylabel('Cumulative Count') +plt.title('Cumulative Count Over Time') +plt.xticks(rotation=90) +plt.yscale('log') +plt.savefig('cumulative_count_log.png', dpi=300) +plt.show() diff --git a/notebooks/stats/cumulated_months.csv b/notebooks/stats/cumulated_months.csv new file mode 100644 index 00000000..c2101677 --- /dev/null +++ b/notebooks/stats/cumulated_months.csv @@ -0,0 +1,2 @@ +,2018-01,2018-02,2018-03,2018-04,2018-05,2018-06,2018-07,2018-08,2018-09,2018-10,2018-11,2018-12,2019-01,2019-02,2019-03,2019-04,2019-05,2019-06,2019-07,2019-08,2019-09,2019-10,2019-11,2019-12,2020-01,2020-02,2020-03,2020-04,2020-05,2020-06,2020-07,2020-08,2020-09,2020-10,2020-11,2020-12,2021-01,2021-02,2021-03,2021-04,2021-05,2021-06,2021-07,2021-08,2021-09,2021-10,2021-11,2021-12,2022-01,2022-02,2022-03,2022-04,2022-05,2022-06,2022-07,2022-08,2022-09,2022-10,2022-11,2022-12,2023-01,2023-02,2023-03,2023-04,2023-05,2023-06,2023-07,2023-08,2023-09,2023-10,2023-11,2023-12 +0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,474,921,2121,3563,8501,13527,17336,19466,20037,22150,23967,26321,27621,28656,30639,33188,44180,45136,46545,47585,50790,51827,54447,56128,57097,68541,74758,158749,360702,377723,598083,615956,853273,915683,918010,935790,1004462 diff --git a/notebooks/stats/cumulative_count.pdf b/notebooks/stats/cumulative_count.pdf new file mode 100644 index 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+,2021-01,2021-02,2021-03,2021-04,2021-05,2021-06,2021-07,2021-08,2021-09,2021-10,2021-11,2021-12,2022-01,2022-02,2022-03,2022-04,2022-05,2022-06,2022-07,2022-08,2022-09,2022-10,2022-11,2022-12,2023-01,2023-02,2023-03,2023-04,2023-05,2023-06,2023-07,2023-08,2023-09,2023-10,2023-11,2023-12,2024-01,2024-02,2024-03,2024-04,2024-05,2024-06 +0,447,1647,3089,8027,13053,16862,18992,19563,21676,23493,25847,27147,28182,30165,32714,43706,44662,46071,47111,50316,51353,53973,55654,56623,68067,74284,158275,360228,377249,597609,615482,852799,915209,917536,935316,1003988,1045839,1130707,1149211,1165956,1817300,2316122 diff --git a/notebooks/stats/cumulative_evals.py b/notebooks/stats/cumulative_evals.py new file mode 100644 index 00000000..95a1b924 --- /dev/null +++ b/notebooks/stats/cumulative_evals.py @@ -0,0 +1,48 @@ +import pandas as pd +from pymongo import MongoClient +from datetime import datetime, date, timedelta +from dateutil.relativedelta import relativedelta +import seaborn as sns +import matplotlib.pyplot as plt +from tqdm import tqdm + +client = MongoClient() +db = client.fair_checker +evaluations = db.evaluations + +data_m = {} + +# count = 0 +# for y in tqdm(range(2021,2025)): +# for m in ["01", "02", "03", "04", "05", "06", "07", "08", "09", "10","11", "12"]: +# start = datetime.fromisoformat(f'{y}-{m}-01') +# end = start + timedelta(days=30) +# count += evaluations.count_documents({"started_at": {"$gte": start, "$lt": end}}) +# data_m[f"{y}-{m}"] = [count] +# if (y == 2024) and (int(m) >= 6): +# break + +# df_m = pd.DataFrame(data_m) +# df_m.to_csv("cumulative_evals.csv") + +df_m = pd.DataFrame(data_m) +df_m.to_csv("cumulative_evals.csv") + +plt.figure(figsize=(12, 6)) +sns.lineplot(data=df_m.iloc[0], marker='o', label='Cumulartive Count Over Time') +plt.xlabel('Year-Month') +plt.ylabel('Cumulative Count') +plt.title('Cumulative Count Over Time') +plt.xticks(rotation=90) +plt.savefig('cumulative_count.png', dpi=300, bbox_inches = 'tight') +plt.show() + +plt.figure(figsize=(12, 6)) +sns.lineplot(data=df_m.iloc[0], marker='o', label='Cumulative Count Over Time') +plt.xlabel('Year-Month') +plt.ylabel('Cumulative Count') +plt.title('Cumulative Count Over Time') +plt.xticks(rotation=90) +plt.yscale('log') +plt.savefig('cumulative_count_log.png', dpi=300, bbox_inches = 'tight') +plt.show() diff --git a/notebooks/genStats.sh b/notebooks/stats/genStats.sh similarity index 100% rename from notebooks/genStats.sh rename to notebooks/stats/genStats.sh diff --git a/notebooks/gen_stats.py b/notebooks/stats/gen_stats.py similarity index 100% rename from notebooks/gen_stats.py rename to notebooks/stats/gen_stats.py diff --git a/notebooks/monthly.pdf b/notebooks/stats/monthly.pdf similarity index 100% rename from notebooks/monthly.pdf rename to notebooks/stats/monthly.pdf diff --git a/notebooks/monthly.png b/notebooks/stats/monthly.png similarity index 100% rename from notebooks/monthly.png rename to notebooks/stats/monthly.png diff --git 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"r_success_30": 152131, "r_failures_30": 9572, "total_monthly": [{"x": "2022-06", "y": 1140}, {"x": "2022-07", "y": 1040}, {"x": "2022-08", "y": 3284}, {"x": "2022-09", "y": 1037}, {"x": "2022-10", "y": 2785}, {"x": "2022-11", "y": 1681}, {"x": "2022-12", "y": 969}, {"x": "2023-01", "y": 11609}, {"x": "2023-02", "y": 6184}, {"x": "2023-03", "y": 136826}, {"x": "2023-04", "y": 201953}, {"x": "2023-05", "y": 17099}, {"x": "2023-06", "y": 220360}, {"x": "2023-07", "y": 76134}, {"x": "2023-08", "y": 237605}, {"x": "2023-09", "y": 62410}, {"x": "2023-10", "y": 2471}, {"x": "2023-11", "y": 17780}, {"x": "2023-12", "y": 69009}, {"x": "2024-01", "y": 42122}, {"x": "2024-02", "y": 84576}, {"x": "2024-03", "y": 18775}, {"x": "2024-04", "y": 16745}, {"x": "2024-05", "y": 649645}]} \ No newline at end of file diff --git a/year.csv b/year.csv new file mode 100644 index 00000000..96a98848 --- /dev/null +++ b/year.csv @@ -0,0 +1,2 @@ +,2019,2020,2021,2022,2023,2024 +0,0,474,27514,30223,1059440,811863 From 5a770f6ab823acc0fc6dc6984f537b8ad0ab5b94 Mon Sep 17 00:00:00 2001 From: Alban Gaignard Date: Fri, 28 Jun 2024 16:57:26 +0200 Subject: [PATCH 5/8] terms of use and wording --- templates/about.html | 6 +--- templates/check.html | 10 +++---- templates/footer.html | 17 ++++++------ templates/terms.html | 64 +++++++++++++++++++++++++++++++++++++++++++ 4 files changed, 79 insertions(+), 18 deletions(-) create mode 100644 templates/terms.html diff --git a/templates/about.html b/templates/about.html index 6864a723..51075687 100644 --- a/templates/about.html +++ b/templates/about.html @@ -9,7 +9,6 @@

Citation

-
Gaignard, A., Rosnet, T., de Lamotte, F., Lefort, V., & Devignes, M. (2023). @@ -21,11 +20,9 @@

Citation

-

The team

-
+

Team

FAIR-checker is developed by the interoperability working group of the French Institute for Bioinformatics: -
  • Thomas Rosnet (thomas.rosnet@france-bioinformatique.fr) @@ -44,7 +41,6 @@

    The team

    Acknowledments

    -
    We are grateful to all members of the IFB interoperability working group for providing ideas, feedback and extensive testing, diff --git a/templates/check.html b/templates/check.html index f42d2909..3ee29ae2 100644 --- a/templates/check.html +++ b/templates/check.html @@ -577,7 +577,7 @@ {#
    #}
    -

    Enter resource identifier (URL/DOI)

    +

    Resource identifier (URL/DOI)

    {#
    #}
    @@ -596,7 +596,7 @@

    Enter resource identifier (URL/DOI)

    -

    @@ -710,7 +710,7 @@

    Enter resource identifier (URL/DOI)