From 17dc57e01caf311d1d295b6266feed48bf9b6ab0 Mon Sep 17 00:00:00 2001 From: Rebecca Date: Mon, 22 Jan 2024 10:54:03 -0500 Subject: [PATCH 1/6] Add grants data for patents --- company_linkage/README.md | 37 +-- company_linkage/parat_data_dag.py | 15 +- .../parat_scripts/get_ai_counts.py | 20 +- company_linkage/sequences/initial_data.csv | 1 + .../sequences/visualization_data.csv | 2 + .../sql/linked_ai_patents_grants.sql | 121 ++++++++++ .../sql/patent_visualization_data.sql | 4 +- .../patent_visualization_data_with_grants.sql | 107 +++++++++ ...visualization_data_with_grants_by_year.sql | 220 ++++++++++++++++++ 9 files changed, 482 insertions(+), 45 deletions(-) create mode 100644 company_linkage/sql/linked_ai_patents_grants.sql create mode 100644 company_linkage/sql/patent_visualization_data_with_grants.sql create mode 100644 company_linkage/sql/patent_visualization_data_with_grants_by_year.sql diff --git a/company_linkage/README.md b/company_linkage/README.md index 6a585284..b9ededab 100644 --- a/company_linkage/README.md +++ b/company_linkage/README.md @@ -14,42 +14,7 @@ script to get top conference papers and total papers, these tests will work for This code is dependent on internal CSET BigQuery datasets; without access to these datasets, you will not be able to run some of this code as-is. -## Tasks to build visualization data - -1. [organizations.sql](sql/organizations.sql) -2. [ai_publications.sql](sql/ai_publications.sql) -3. [linked_ai_patents.sql](sql/linked_ai_patents.sql) -4. [top_conference_pubs.sql](sql/top_conference_pubs.sql) -5. [pubs_in_top_conferences.sql](sql/pubs_in_top_conferences.sql) -6. [all_publications.sql](sql/all_publications.sql) -7. `python3 aggregate_organizations.py aggregated_organizations.jsonl` -8. Replace `high_resolution_entities.aggregated_organizations` with the data from `aggregated_organizations.jsonl` using the [aggregated_organizations_schema](schemas/aggregated_organizations_schema.json) -9. `python3 get_ai_counts.py data/ai_company_papers.jsonl data/ai_company_patents.jsonl` -10. Upload `ai_company_papers.jsonl` to `ai_companies_visualization.ai_company_pubs` using the [ai_papers_schema](schemas/ai_papers_schema.json) -11. Upload `ai_company_patents.jsonl` to `ai_companies_visualization.ai_company_patents` using the [ai_patents_schema](schemas/ai_patents_schema.json) -12. `python3 top_papers.py top_paper_counts.jsonl` -13. Upload `top_paper_counts.jsonl` to `ai_companies_visualization.top_paper_counts` using the [top_papers_schema](schemas/top_papers_schema.json) -14. `python3 all_papers.py all_paper_counts.jsonl` -15. Upload `all_paper_counts.jsonl` to `ai_companies_visualization.total_paper_counts` using the [all_papers_schema](schemas/all_papers_schema.json) -16. [initial_visualization_data.sql](sql/initial_visualization_data.sql) -17. [visualization_data_with_by_year.sql](sql/visualization_data_with_by_year.sql) -18. [visualization_data_with_top_papers.sql](sql/visualization_data_with_top_papers.sql) -19. [visualization_data_with_all_papers.sql](sql/visualization_data_with_all_papers.sql) -20. [initial_patent_visualization_data.sql](sql/initial_patent_visualization_data.sql) -21. [patent_visualization_data_with_by_year.sql](sql/patent_visualization_data_with_by_year.sql) -22. [initial_paper_visualization_data.sql](sql/initial_paper_visualization_data.sql) -23. [paper_visualization_data_with_mag.sql](sql/paper_visualization_data_with_mag.sql) -24. [paper_visualization_data_with_clusters.sql](sql/paper_visualization_data_with_clusters.sql) -25. [paper_visualization_data_with_company_references.sql](sql/paper_visualization_data_with_company_references.sql) -26. [paper_visualization_data_with_tasks.sql](sql/paper_visualization_data_with_tasks.sql) -27. [paper_visualization_data_with_methods.sql](sql/paper_visualization_data_with_methods.sql) -28. [initial_workforce_visualization_data.sql](sql/initial_workforce_visualization_data.sql) -29. [workforce_visualization_data_with_ai_jobs.sql](sql/workforce_visualization_data_with_ai_jobs.sql) -30. [visualization_data_omit_by_rule.sql](sql/visualization_data_omit_by_rule.sql) -31. [visualization_data.sql](sql/visualization_data.sql) -32. [patent_visualization_data.sql](sql/patent_visualization_data.sql) -33. [paper_visualization_data.sql](sql/paper_visualization_data.sql) -34. [workforce_visualization_data.sql](sql/workforce_visualization_data.sql) +To view the order of tasks necessary to build visualization data, see the airflow DAG. # Deployment diff --git a/company_linkage/parat_data_dag.py b/company_linkage/parat_data_dag.py index 4cfcd805..07058eb6 100644 --- a/company_linkage/parat_data_dag.py +++ b/company_linkage/parat_data_dag.py @@ -153,7 +153,8 @@ cmds=["/bin/bash"], arguments=["-c", (f"echo 'getting AI counts!' ; rm -r ai || true ; " f"mkdir -p ai && " - f"python3 get_ai_counts.py ai/ai_company_papers.jsonl ai/ai_company_patents.jsonl && " + f"python3 get_ai_counts.py ai/ai_company_papers.jsonl ai/ai_company_patents.jsonl " + f"ai/ai_company_patent_grants.jsonl && " f"gsutil -m cp -r ai gs://{DATA_BUCKET}/{tmp_dir}/ ")], namespace="default", image=f"us.gcr.io/{PROJECT_ID}/parat", @@ -199,6 +200,17 @@ write_disposition="WRITE_TRUNCATE" ) + load_ai_patent_grants = GCSToBigQueryOperator( + task_id=f"load_ai_company_patent_grants", + bucket=DATA_BUCKET, + source_objects=[f"{tmp_dir}/ai/ai_company_patent_grants.jsonl"], + schema_object=f"{schema_dir}/ai_patents_schema.json", + destination_project_dataset_table=f"{staging_dataset}.ai_company_patent_grants", + source_format="NEWLINE_DELIMITED_JSON", + create_disposition="CREATE_IF_NEEDED", + write_disposition="WRITE_TRUNCATE" + ) + run_papers = [] for paper_type in ["top", "all"]: @@ -350,6 +362,7 @@ >> run_get_ai_counts >> load_ai_papers >> load_ai_patents + >> load_ai_patent_grants >> run_papers >> load_top_papers >> load_all_papers diff --git a/company_linkage/parat_scripts/get_ai_counts.py b/company_linkage/parat_scripts/get_ai_counts.py index 681f704d..5df57e13 100644 --- a/company_linkage/parat_scripts/get_ai_counts.py +++ b/company_linkage/parat_scripts/get_ai_counts.py @@ -191,7 +191,7 @@ def run_query_id_papers(self, table_name: str, test: bool = False) -> list: "nlp": element["nlp"], "robotics": element["robotics"]}) return company_rows - def run_query_id_patents(self): + def run_query_id_patents(self, table_name: str): """ Get patent counts one by one using CSET_ids. :return: @@ -240,7 +240,7 @@ def run_query_id_patents(self): Machine_Learning, Search_Methods FROM - staging_ai_companies_visualization.linked_ai_patents + staging_ai_companies_visualization.{table_name} WHERE regexp_contains(assignee, r'(?i){regexes[0]}') """ # if we have more than one regex for an org, include all of them if len(regexes) > 1: @@ -274,8 +274,12 @@ def write_output(self, row_list: list, output_file) -> None: def main() -> None: parser = argparse.ArgumentParser() - parser.add_argument("output_papers", type=str, help="A jsonl file for writing output paper data to create new tables") - parser.add_argument("output_patents", type=str, help="A jsonl file for writing output patent data to create new tables") + parser.add_argument("output_papers", type=str, + help="A jsonl file for writing output paper data to create new tables") + parser.add_argument("output_patents", type=str, + help="A jsonl file for writing output patent data to create new tables") + parser.add_argument("output_patent_grants", type=str, + help="A jsonl file for writing output patent grants data to create new tables") args = parser.parse_args() if "jsonl" not in args.output_papers or "jsonl" not in args.output_patents: parser.print_help() @@ -287,10 +291,14 @@ def main() -> None: company_rows = count_getter.run_query_id_papers(table_name) print("Writing results") count_getter.write_output(company_rows, args.output_papers) - print("Fetching patent data") - patent_companies = count_getter.run_query_id_patents() + print("Fetching patent applications data") + patent_companies = count_getter.run_query_id_patents("linked_ai_patents") print("Writing results") count_getter.write_output(patent_companies, args.output_patents) + print("Fetching patent grants data") + patent_grant_companies = count_getter.run_query_id_patents("linked_ai_patents_grants") + print("Writing results") + count_getter.write_output(patent_grant_companies, args.output_patent_grants) if __name__ == "__main__": main() \ No newline at end of file diff --git a/company_linkage/sequences/initial_data.csv b/company_linkage/sequences/initial_data.csv index c1a10432..b7aa753e 100644 --- a/company_linkage/sequences/initial_data.csv +++ b/company_linkage/sequences/initial_data.csv @@ -1,6 +1,7 @@ high_resolution_entities,organizations staging_ai_companies_visualization,ai_publications staging_ai_companies_visualization,linked_ai_patents +staging_ai_companies_visualization,linked_ai_patents_grants staging_ai_companies_visualization,top_conference_pubs staging_ai_companies_visualization,pubs_in_top_conferences staging_ai_companies_visualization,all_publications \ No newline at end of file diff --git a/company_linkage/sequences/visualization_data.csv b/company_linkage/sequences/visualization_data.csv index 09ae1630..30a711cf 100644 --- a/company_linkage/sequences/visualization_data.csv +++ b/company_linkage/sequences/visualization_data.csv @@ -4,6 +4,8 @@ staging_ai_companies_visualization,visualization_data_with_top_papers staging_ai_companies_visualization,visualization_data_with_all_papers staging_ai_companies_visualization,initial_patent_visualization_data staging_ai_companies_visualization,patent_visualization_data_with_by_year +staging_ai_companies_visualization,patent_visualization_data_with_grants +staging_ai_companies_visualization,patent_visualization_data_with_grants_by_year staging_ai_companies_visualization,initial_paper_visualization_data staging_ai_companies_visualization,paper_visualization_data_with_mag staging_ai_companies_visualization,paper_visualization_data_with_clusters diff --git a/company_linkage/sql/linked_ai_patents_grants.sql b/company_linkage/sql/linked_ai_patents_grants.sql new file mode 100644 index 00000000..c8948d14 --- /dev/null +++ b/company_linkage/sql/linked_ai_patents_grants.sql @@ -0,0 +1,121 @@ +-- Pulling every AI-associated patent family id linked to every grid id of any assignee for that patent, and all the assignee names +-- We also pull in the AI subcategories and the years +-- We also attempt to add in "fake" families for the patents that are missing patent families +with patents_orig as ( +SELECT + -- Pulling in the current assignee ror ids from dimensions + patent_id, + assignees_normalized.family_id, + assignee, + ror_id, + granted +FROM + unified_patents.assignees_normalized + LEFT JOIN + unified_patents.metadata + USING + (patent_id)), +all_ai as ( + -- Selecting all the family ids and patent IDs to get AI patents + -- Also select the year so we can get counts by year + SELECT + patent_id, + Physical_Sciences_and_Engineering, + Life_Sciences, + Security__eg_cybersecurity, + Transportation, + Industrial_and_Manufacturing, + Education, + Document_Mgt_and_Publishing, + Military, + Agricultural, + Computing_in_Government, + Personal_Devices_and_Computing, + Banking_and_Finance, + Telecommunications, + Networks__eg_social_IOT_etc, + Business, + Energy_Management, + Entertainment, + Nanotechnology, + Semiconductors, + Language_Processing, + Speech_Processing, + Knowledge_Representation, + Planning_and_Scheduling, + Control, Distributed_AI, + Robotics, + Computer_Vision, + Analytics_and_Algorithms, + Measuring_and_Testing, + Logic_Programming, + Fuzzy_Logic, + Probabilistic_Reasoning, + Ontology_Engineering, + Machine_Learning, + Search_Methods + FROM + unified_patents.ai_patents), + patent_years as ( + SELECT + patent_id, + EXTRACT(year FROM first_priority_date) as priority_year + FROM + unified_patents.dates + ) + SELECT + DISTINCT + -- If the family id is null we can't group by family id so we create a fake family id using the patent id + -- Since we can't group by family id there should only be one patent id in these cases + -- We're just doing this so our counts aren't blank + COALESCE(family_id, "X-" || patent_id) as family_id, + assignee, + ror_id, + MIN(priority_year) as priority_year, + LOGICAL_OR(granted) as granted, + LOGICAL_OR(Physical_Sciences_and_Engineering) as Physical_Sciences_and_Engineering, + LOGICAL_OR(Life_Sciences) as Life_Sciences, + LOGICAL_OR(Security__eg_cybersecurity) as Security__eg_cybersecurity, + LOGICAL_OR(Transportation) as Transportation, + LOGICAL_OR(Industrial_and_Manufacturing) as Industrial_and_Manufacturing, + LOGICAL_OR(Education) as Education, + LOGICAL_OR(Document_Mgt_and_Publishing) as Document_Mgt_and_Publishing, + LOGICAL_OR(Military) as Military, + LOGICAL_OR(Agricultural) as Agricultural, + LOGICAL_OR(Computing_in_Government) as Computing_in_Government, + LOGICAL_OR(Personal_Devices_and_Computing) as Personal_Devices_and_Computing, + LOGICAL_OR(Banking_and_Finance) as Banking_and_Finance, + LOGICAL_OR(Telecommunications) as Telecommunications, + LOGICAL_OR(Networks__eg_social_IOT_etc) as Networks__eg_social_IOT_etc, + LOGICAL_OR(Business) as Business, + LOGICAL_OR(Energy_Management) as Energy_Management, + LOGICAL_OR(Entertainment) as Entertainment, + LOGICAL_OR(Nanotechnology) as Nanotechnology, + LOGICAL_OR(Semiconductors) as Semiconductors, + LOGICAL_OR(Language_Processing) as Language_Processing, + LOGICAL_OR(Speech_Processing) as Speech_Processing, + LOGICAL_OR(Knowledge_Representation) as Knowledge_Representation, + LOGICAL_OR(Planning_and_Scheduling) as Planning_and_Scheduling, + LOGICAL_OR(Control) as Control, + LOGICAL_OR(Distributed_AI) as Distributed_AI, + LOGICAL_OR(Robotics) as Robotics, + LOGICAL_OR(Computer_Vision) as Computer_Vision, + LOGICAL_OR(Analytics_and_Algorithms) as Analytics_and_Algorithms, + LOGICAL_OR(Measuring_and_Testing) as Measuring_and_Testing, + LOGICAL_OR(Logic_Programming) as Logic_Programming, + LOGICAL_OR(Fuzzy_Logic) as Fuzzy_Logic, + LOGICAL_OR(Probabilistic_Reasoning) as Probabilistic_Reasoning, + LOGICAL_OR(Ontology_Engineering) as Ontology_Engineering, + LOGICAL_OR(Machine_Learning) as Machine_Learning, + LOGICAL_OR(Search_Methods) as Search_Methods + -- Only including patents if their ids are in or AI patent set, ensuring we have AI patents + FROM ( all_ai + LEFT JOIN patents_orig + USING (patent_id) + LEFT JOIN patent_years + USING (patent_id)) + WHERE priority_year IS NOT NULL and granted is true + GROUP BY + ror_id, + assignee, + family_id \ No newline at end of file diff --git a/company_linkage/sql/patent_visualization_data.sql b/company_linkage/sql/patent_visualization_data.sql index 8047506a..475c5460 100644 --- a/company_linkage/sql/patent_visualization_data.sql +++ b/company_linkage/sql/patent_visualization_data.sql @@ -11,13 +11,13 @@ WITH FROM staging_ai_companies_visualization.visualization_data_omit_by_rule RIGHT JOIN - staging_ai_companies_visualization.patent_visualization_data_with_by_year + staging_ai_companies_visualization.patent_visualization_data_with_grants_by_year USING (cset_id) WHERE visualization_data_omit_by_rule.cset_id IS NULL) SELECT * FROM - staging_ai_companies_visualization.patent_visualization_data_with_by_year + staging_ai_companies_visualization.patent_visualization_data_with_grants_by_year WHERE CSET_id NOT IN ( SELECT diff --git a/company_linkage/sql/patent_visualization_data_with_grants.sql b/company_linkage/sql/patent_visualization_data_with_grants.sql new file mode 100644 index 00000000..eb1546f7 --- /dev/null +++ b/company_linkage/sql/patent_visualization_data_with_grants.sql @@ -0,0 +1,107 @@ +WITH + aipats AS ( + -- Pulling all the patents from any of our companies + SELECT + * + FROM + staging_ai_companies_visualization.ai_company_patent_grants), + pattable AS ( + -- Getting the count of patents + SELECT + CSET_id, + COUNT(DISTINCT family_id) AS ai_patents_grants, + COUNT(DISTINCT CASE WHEN Physical_Sciences_and_Engineering IS TRUE THEN family_id END) as Physical_Sciences_and_Engineering_pats_grants, + COUNT(DISTINCT CASE WHEN Life_Sciences IS TRUE THEN family_id END) as Life_Sciences_pats_grants, + COUNT(DISTINCT CASE WHEN Security__eg_cybersecurity IS TRUE THEN family_id END) as Security__eg_cybersecurity_pats_grants, + COUNT(DISTINCT CASE WHEN Transportation IS TRUE THEN family_id END) as Transportation_pats_grants, + COUNT(DISTINCT CASE WHEN Industrial_and_Manufacturing IS TRUE THEN family_id END) as Industrial_and_Manufacturing_pats_grants, + COUNT(DISTINCT CASE WHEN Education IS TRUE THEN family_id END) as Education_pats_grants, + COUNT(DISTINCT CASE WHEN Document_Mgt_and_Publishing IS TRUE THEN family_id END) as Document_Mgt_and_Publishing_pats_grants, + COUNT(DISTINCT CASE WHEN Military IS TRUE THEN family_id END) as Military_pats_grants, + COUNT(DISTINCT CASE WHEN Agricultural IS TRUE THEN family_id END) as Agricultural_pats_grants, + COUNT(DISTINCT CASE WHEN Computing_in_Government IS TRUE THEN family_id END) as Computing_in_Government_pats_grants, + COUNT(DISTINCT CASE WHEN Personal_Devices_and_Computing IS TRUE THEN family_id END) as Personal_Devices_and_Computing_pats_grants, + COUNT(DISTINCT CASE WHEN Banking_and_Finance IS TRUE THEN family_id END) as Banking_and_Finance_pats_grants, + COUNT(DISTINCT CASE WHEN Telecommunications IS TRUE THEN family_id END) as Telecommunications_pats_grants, + COUNT(DISTINCT CASE WHEN Networks__eg_social_IOT_etc IS TRUE THEN family_id END) as Networks__eg_social_IOT_etc_pats_grants, + COUNT(DISTINCT CASE WHEN Business IS TRUE THEN family_id END) as Business_pats_grants, + COUNT(DISTINCT CASE WHEN Energy_Management IS TRUE THEN family_id END) as Energy_Management_pats_grants, + COUNT(DISTINCT CASE WHEN Entertainment IS TRUE THEN family_id END) as Entertainment_pats_grants, + COUNT(DISTINCT CASE WHEN Nanotechnology IS TRUE THEN family_id END) as Nanotechnology_pats_grants, + COUNT(DISTINCT CASE WHEN Semiconductors IS TRUE THEN family_id END) as Semiconductors_pats_grants, + COUNT(DISTINCT CASE WHEN Language_Processing IS TRUE THEN family_id END) as Language_Processing_pats_grants, + COUNT(DISTINCT CASE WHEN Speech_Processing IS TRUE THEN family_id END) as Speech_Processing_pats_grants, + COUNT(DISTINCT CASE WHEN Knowledge_Representation IS TRUE THEN family_id END) as Knowledge_Representation_pats_grants, + COUNT(DISTINCT CASE WHEN Planning_and_Scheduling IS TRUE THEN family_id END) as Planning_and_Scheduling_pats_grants, + COUNT(DISTINCT CASE WHEN Control IS TRUE THEN family_id END) as Control_pats_grants, + COUNT(DISTINCT CASE WHEN Distributed_AI IS TRUE THEN family_id END) as Distributed_AI_pats_grants, + COUNT(DISTINCT CASE WHEN Robotics IS TRUE THEN family_id END) as Robotics_pats_grants, + COUNT(DISTINCT CASE WHEN Computer_Vision IS TRUE THEN family_id END) as Computer_Vision_pats_grants, + COUNT(DISTINCT CASE WHEN Analytics_and_Algorithms IS TRUE THEN family_id END) as Analytics_and_Algorithms_pats_grants, + COUNT(DISTINCT CASE WHEN Measuring_and_Testing IS TRUE THEN family_id END) as Measuring_and_Testing_pats_grants, + COUNT(DISTINCT CASE WHEN Logic_Programming IS TRUE THEN family_id END) as Logic_Programming_pats_grants, + COUNT(DISTINCT CASE WHEN Fuzzy_Logic IS TRUE THEN family_id END) as Fuzzy_Logic_pats_grants, + COUNT(DISTINCT CASE WHEN Probabilistic_Reasoning IS TRUE THEN family_id END) as Probabilistic_Reasoning_pats_grants, + COUNT(DISTINCT CASE WHEN Ontology_Engineering IS TRUE THEN family_id END) as Ontology_Engineering_pats_grants, + COUNT(DISTINCT CASE WHEN Machine_Learning IS TRUE THEN family_id END) as Machine_Learning_pats_grants, + COUNT(DISTINCT CASE WHEN Search_Methods IS TRUE THEN family_id END) as Search_Methods_pats_grants + + FROM aipats + GROUP BY + CSET_id), +grants_all as + -- Pulling CSET_id and name, plus ai_pats +(SELECT + CSET_id, + COALESCE(ai_patents_grants, 0) as ai_patents_grants, + COALESCE(Physical_Sciences_and_Engineering_pats_grants, 0) as Physical_Sciences_and_Engineering_pats_grants, + COALESCE(Life_Sciences_pats_grants, 0) as Life_Sciences_pats_grants, + COALESCE(Security__eg_cybersecurity_pats_grants, 0) as Security__eg_cybersecurity_pats_grants, + COALESCE(Transportation_pats_grants, 0) as Transportation_pats_grants, + COALESCE(Industrial_and_Manufacturing_pats_grants, 0) as Industrial_and_Manufacturing_pats_grants, + COALESCE(Education_pats_grants, 0) as Education_pats_grants, + COALESCE(Document_Mgt_and_Publishing_pats_grants, 0) as Document_Mgt_and_Publishing_pats_grants, + COALESCE(Military_pats_grants, 0) as Military_pats_grants, + COALESCE(Agricultural_pats_grants, 0) as Agricultural_pats_grants, + COALESCE(Computing_in_Government_pats_grants, 0) as Computing_in_Government_pats_grants, + COALESCE(Personal_Devices_and_Computing_pats_grants, 0) as Personal_Devices_and_Computing_pats_grants, + COALESCE(Banking_and_Finance_pats_grants, 0) as Banking_and_Finance_pats_grants, + COALESCE(Telecommunications_pats_grants, 0) as Telecommunications_pats_grants, + COALESCE(Networks__eg_social_IOT_etc_pats_grants, 0) as Networks__eg_social_IOT_etc_pats_grants, + COALESCE(Business_pats_grants, 0) as Business_pats_grants, + COALESCE(Energy_Management_pats_grants, 0) as Energy_Management_pats_grants, + COALESCE(Entertainment_pats_grants, 0) as Entertainment_pats_grants, + COALESCE(Nanotechnology_pats_grants, 0) as Nanotechnology_pats_grants, + COALESCE(Semiconductors_pats_grants, 0) as Semiconductors_pats_grants, + COALESCE(Language_Processing_pats_grants, 0) as Language_Processing_pats_grants, + COALESCE(Speech_Processing_pats_grants, 0) as Speech_Processing_pats_grants, + COALESCE(Knowledge_Representation_pats_grants, 0) as Knowledge_Representation_pats_grants, + COALESCE(Planning_and_Scheduling_pats_grants, 0) as Planning_and_Scheduling_pats_grants, + COALESCE(Control_pats_grants, 0) as Control_pats_grants, + COALESCE(Distributed_AI_pats_grants, 0) as Distributed_AI_pats_grants, + COALESCE(Robotics_pats_grants, 0) as Robotics_pats_grants, + COALESCE(Computer_Vision_pats_grants, 0) as Computer_Vision_pats_grants, + COALESCE(Analytics_and_Algorithms_pats_grants, 0) as Analytics_and_Algorithms_pats_grants, + COALESCE(Measuring_and_Testing_pats_grants, 0) as Measuring_and_Testing_pats_grants, + COALESCE(Logic_Programming_pats_grants, 0) as Logic_Programming_pats_grants, + COALESCE(Fuzzy_Logic_pats_grants, 0) as Fuzzy_Logic_pats_grants, + COALESCE(Probabilistic_Reasoning_pats_grants, 0) as Probabilistic_Reasoning_pats_grants, + COALESCE(Ontology_Engineering_pats_grants, 0) as Ontology_Engineering_pats_grants, + COALESCE(Machine_Learning_pats_grants, 0) as Machine_Learning_pats_grants, + COALESCE(Search_Methods_pats_grants, 0) as Search_Methods_pats_grants, +FROM + high_resolution_entities.aggregated_organizations +LEFT JOIN + pattable +USING + (CSET_id) +) +SELECT + viz.*, + grants_all.* EXCEPT (CSET_id) +FROM + staging_ai_companies_visualization.patent_visualization_data_with_by_year AS viz +LEFT JOIN + grants_all +USING + (CSET_id) \ No newline at end of file diff --git a/company_linkage/sql/patent_visualization_data_with_grants_by_year.sql b/company_linkage/sql/patent_visualization_data_with_grants_by_year.sql new file mode 100644 index 00000000..f83ec62a --- /dev/null +++ b/company_linkage/sql/patent_visualization_data_with_grants_by_year.sql @@ -0,0 +1,220 @@ +WITH + aipats AS ( + -- Pulling all the patents from any of our companies + SELECT + * + FROM + staging_ai_companies_visualization.ai_company_patent_grants), + pattable AS ( + -- Getting the count of patents + SELECT + CSET_id, + priority_year, + COUNT(DISTINCT family_id) AS ai_patents, + COUNT(DISTINCT CASE WHEN Physical_Sciences_and_Engineering IS TRUE THEN family_id END) as Physical_Sciences_and_Engineering_pats_grants, + COUNT(DISTINCT CASE WHEN Life_Sciences IS TRUE THEN family_id END) as Life_Sciences_pats_grants, + COUNT(DISTINCT CASE WHEN Security__eg_cybersecurity IS TRUE THEN family_id END) as Security__eg_cybersecurity_pats_grants, + COUNT(DISTINCT CASE WHEN Transportation IS TRUE THEN family_id END) as Transportation_pats_grants, + COUNT(DISTINCT CASE WHEN Industrial_and_Manufacturing IS TRUE THEN family_id END) as Industrial_and_Manufacturing_pats_grants, + COUNT(DISTINCT CASE WHEN Education IS TRUE THEN family_id END) as Education_pats_grants, + COUNT(DISTINCT CASE WHEN Document_Mgt_and_Publishing IS TRUE THEN family_id END) as Document_Mgt_and_Publishing_pats_grants, + COUNT(DISTINCT CASE WHEN Military IS TRUE THEN family_id END) as Military_pats_grants, + COUNT(DISTINCT CASE WHEN Agricultural IS TRUE THEN family_id END) as Agricultural_pats_grants, + COUNT(DISTINCT CASE WHEN Computing_in_Government IS TRUE THEN family_id END) as Computing_in_Government_pats_grants, + COUNT(DISTINCT CASE WHEN Personal_Devices_and_Computing IS TRUE THEN family_id END) as Personal_Devices_and_Computing_pats_grants, + COUNT(DISTINCT CASE WHEN Banking_and_Finance IS TRUE THEN family_id END) as Banking_and_Finance_pats_grants, + COUNT(DISTINCT CASE WHEN Telecommunications IS TRUE THEN family_id END) as Telecommunications_pats_grants, + COUNT(DISTINCT CASE WHEN Networks__eg_social_IOT_etc IS TRUE THEN family_id END) as Networks__eg_social_IOT_etc_pats_grants, + COUNT(DISTINCT CASE WHEN Business IS TRUE THEN family_id END) as Business_pats_grants, + COUNT(DISTINCT CASE WHEN Energy_Management IS TRUE THEN family_id END) as Energy_Management_pats_grants, + COUNT(DISTINCT CASE WHEN Entertainment IS TRUE THEN family_id END) as Entertainment_pats_grants, + COUNT(DISTINCT CASE WHEN Nanotechnology IS TRUE THEN family_id END) as Nanotechnology_pats_grants, + COUNT(DISTINCT CASE WHEN Semiconductors IS TRUE THEN family_id END) as Semiconductors_pats_grants, + COUNT(DISTINCT CASE WHEN Language_Processing IS TRUE THEN family_id END) as Language_Processing_pats_grants, + COUNT(DISTINCT CASE WHEN Speech_Processing IS TRUE THEN family_id END) as Speech_Processing_pats_grants, + COUNT(DISTINCT CASE WHEN Knowledge_Representation IS TRUE THEN family_id END) as Knowledge_Representation_pats_grants, + COUNT(DISTINCT CASE WHEN Planning_and_Scheduling IS TRUE THEN family_id END) as Planning_and_Scheduling_pats_grants, + COUNT(DISTINCT CASE WHEN Control IS TRUE THEN family_id END) as Control_pats_grants, + COUNT(DISTINCT CASE WHEN Distributed_AI IS TRUE THEN family_id END) as Distributed_AI_pats_grants, + COUNT(DISTINCT CASE WHEN Robotics IS TRUE THEN family_id END) as Robotics_pats_grants, + COUNT(DISTINCT CASE WHEN Computer_Vision IS TRUE THEN family_id END) as Computer_Vision_pats_grants, + COUNT(DISTINCT CASE WHEN Analytics_and_Algorithms IS TRUE THEN family_id END) as Analytics_and_Algorithms_pats_grants, + COUNT(DISTINCT CASE WHEN Measuring_and_Testing IS TRUE THEN family_id END) as Measuring_and_Testing_pats_grants, + COUNT(DISTINCT CASE WHEN Logic_Programming IS TRUE THEN family_id END) as Logic_Programming_pats_grants, + COUNT(DISTINCT CASE WHEN Fuzzy_Logic IS TRUE THEN family_id END) as Fuzzy_Logic_pats_grants, + COUNT(DISTINCT CASE WHEN Probabilistic_Reasoning IS TRUE THEN family_id END) as Probabilistic_Reasoning_pats_grants, + COUNT(DISTINCT CASE WHEN Ontology_Engineering IS TRUE THEN family_id END) as Ontology_Engineering_pats_grants, + COUNT(DISTINCT CASE WHEN Machine_Learning IS TRUE THEN family_id END) as Machine_Learning_pats_grants, + COUNT(DISTINCT CASE WHEN Search_Methods IS TRUE THEN family_id END) as Search_Methods_pats_grants + FROM aipats + GROUP BY + CSET_id, + priority_year), + by_year as ( + -- Get the counts by year + SELECT + CSET_id, + ARRAY_AGG(STRUCT(priority_year, + ai_patents) + ORDER BY + priority_year) AS ai_patents_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Physical_Sciences_and_Engineering_pats_grants) + ORDER BY + priority_year) AS Physical_Sciences_and_Engineering_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Life_Sciences_pats_grants) + ORDER BY + priority_year) AS Life_Sciences_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Security__eg_cybersecurity_pats_grants) + ORDER BY + priority_year) AS Security__eg_cybersecurity_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Transportation_pats_grants) + ORDER BY + priority_year) AS Transportation_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Industrial_and_Manufacturing_pats_grants) + ORDER BY + priority_year) AS Industrial_and_Manufacturing_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Education_pats_grants) + ORDER BY + priority_year) AS Education_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Document_Mgt_and_Publishing_pats_grants) + ORDER BY + priority_year) AS Document_Mgt_and_Publishing_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Military_pats_grants) + ORDER BY + priority_year) AS Military_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Agricultural_pats_grants) + ORDER BY + priority_year) AS Agricultural_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Computing_in_Government_pats_grants) + ORDER BY + priority_year) AS Computing_in_Government_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Personal_Devices_and_Computing_pats_grants) + ORDER BY + priority_year) AS Personal_Devices_and_Computing_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Banking_and_Finance_pats_grants) + ORDER BY + priority_year) AS Banking_and_Finance_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Telecommunications_pats_grants) + ORDER BY + priority_year) AS Telecommunications_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Networks__eg_social_IOT_etc_pats_grants) + ORDER BY + priority_year) AS Networks__eg_social_IOT_etc_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Business_pats_grants) + ORDER BY + priority_year) AS Business_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Energy_Management_pats_grants) + ORDER BY + priority_year) AS Energy_Management_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Entertainment_pats_grants) + ORDER BY + priority_year) AS Entertainment_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Nanotechnology_pats_grants) + ORDER BY + priority_year) AS Nanotechnology_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Semiconductors_pats_grants) + ORDER BY + priority_year) AS Semiconductors_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Language_Processing_pats_grants) + ORDER BY + priority_year) AS Language_Processing_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Speech_Processing_pats_grants) + ORDER BY + priority_year) AS Speech_Processing_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Knowledge_Representation_pats_grants) + ORDER BY + priority_year) AS Knowledge_Representation_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Planning_and_Scheduling_pats_grants) + ORDER BY + priority_year) AS Planning_and_Scheduling_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Control_pats_grants) + ORDER BY + priority_year) AS Control_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Distributed_AI_pats_grants) + ORDER BY + priority_year) AS Distributed_AI_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Robotics_pats_grants) + ORDER BY + priority_year) AS Robotics_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Computer_Vision_pats_grants) + ORDER BY + priority_year) AS Computer_Vision_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Analytics_and_Algorithms_pats_grants) + ORDER BY + priority_year) AS Analytics_and_Algorithms_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Measuring_and_Testing_pats_grants) + ORDER BY + priority_year) AS Measuring_and_Testing_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Logic_Programming_pats_grants) + ORDER BY + priority_year) AS Logic_Programming_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Fuzzy_Logic_pats_grants) + ORDER BY + priority_year) AS Fuzzy_Logic_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Probabilistic_Reasoning_pats_grants) + ORDER BY + priority_year) AS Probabilistic_Reasoning_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Ontology_Engineering_pats_grants) + ORDER BY + priority_year) AS Ontology_Engineering_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Machine_Learning_pats_grants) + ORDER BY + priority_year) AS Machine_Learning_pats_grants_by_year, + ARRAY_AGG(STRUCT(priority_year, + Search_Methods_pats_grants) + ORDER BY + priority_year) AS Search_Methods_pats_grants_by_year, + + FROM + high_resolution_entities.aggregated_organizations + LEFT JOIN + pattable + USING + (CSET_id) + GROUP BY + CSET_id +) + -- Pulling CSET_id and name, plus ai_pats_grants +SELECT + viz.*, + by_year.* EXCEPT (CSET_id) +FROM + staging_ai_companies_visualization.patent_visualization_data_with_grants AS viz +LEFT JOIN + by_year +USING + (CSET_id) \ No newline at end of file From d1069f1ed9ace4f07b081aea1fd9f99aed235416 Mon Sep 17 00:00:00 2001 From: Rebecca Date: Mon, 22 Jan 2024 13:01:33 -0500 Subject: [PATCH 2/6] Fix outdated comments --- company_linkage/sql/linked_ai_patents.sql | 4 ++-- company_linkage/sql/linked_ai_patents_grants.sql | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/company_linkage/sql/linked_ai_patents.sql b/company_linkage/sql/linked_ai_patents.sql index ee7360b2..fd15d8de 100644 --- a/company_linkage/sql/linked_ai_patents.sql +++ b/company_linkage/sql/linked_ai_patents.sql @@ -1,9 +1,9 @@ --- Pulling every AI-associated patent family id linked to every grid id of any assignee for that patent, and all the assignee names +-- Pulling every AI-associated patent family id linked to every ror id of any assignee for that patent, and all the assignee names -- We also pull in the AI subcategories and the years -- We also attempt to add in "fake" families for the patents that are missing patent families with patents_orig as ( SELECT - -- Pulling in the current assignee ror ids from dimensions + -- Pulling in the current assignee ror ids patent_id, family_id, assignee, diff --git a/company_linkage/sql/linked_ai_patents_grants.sql b/company_linkage/sql/linked_ai_patents_grants.sql index c8948d14..d5d6d3fc 100644 --- a/company_linkage/sql/linked_ai_patents_grants.sql +++ b/company_linkage/sql/linked_ai_patents_grants.sql @@ -1,9 +1,9 @@ --- Pulling every AI-associated patent family id linked to every grid id of any assignee for that patent, and all the assignee names +-- Pulling every AI-associated patent family id linked to every ror id of any assignee for that patent, and all the assignee names -- We also pull in the AI subcategories and the years -- We also attempt to add in "fake" families for the patents that are missing patent families with patents_orig as ( SELECT - -- Pulling in the current assignee ror ids from dimensions + -- Pulling in the current assignee ror ids patent_id, assignees_normalized.family_id, assignee, From 07dc6a717623255f9f6490366c209e1d2ace99d9 Mon Sep 17 00:00:00 2001 From: Rebecca Date: Mon, 22 Jan 2024 10:54:03 -0500 Subject: [PATCH 3/6] Add grants data for patents --- company_linkage/sql/linked_ai_patents_grants.sql | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/company_linkage/sql/linked_ai_patents_grants.sql b/company_linkage/sql/linked_ai_patents_grants.sql index d5d6d3fc..c8948d14 100644 --- a/company_linkage/sql/linked_ai_patents_grants.sql +++ b/company_linkage/sql/linked_ai_patents_grants.sql @@ -1,9 +1,9 @@ --- Pulling every AI-associated patent family id linked to every ror id of any assignee for that patent, and all the assignee names +-- Pulling every AI-associated patent family id linked to every grid id of any assignee for that patent, and all the assignee names -- We also pull in the AI subcategories and the years -- We also attempt to add in "fake" families for the patents that are missing patent families with patents_orig as ( SELECT - -- Pulling in the current assignee ror ids + -- Pulling in the current assignee ror ids from dimensions patent_id, assignees_normalized.family_id, assignee, From a8c05058ff0b935b1b4e2b32fa2d7c88d8a2f77f Mon Sep 17 00:00:00 2001 From: Jennifer Melot Date: Wed, 24 Jan 2024 16:23:51 -0500 Subject: [PATCH 4/6] Integrate patents granted metric; bump data --- requirements.txt | 398 +- .../src/components/DetailViewPatents.jsx | 6 +- web/gui-v2/src/static_data/data.js | 2 +- web/gui-v2/src/static_data/overall_data.json | 2 +- web/gui-v2/src/static_data/table_columns.js | 6 +- web/raw_data/exchange_links.jsonl | 23536 ++++++++-------- web/raw_data/sectors.jsonl | 2 +- web/scripts/retrieve_data.py | 25 +- 8 files changed, 12156 insertions(+), 11821 deletions(-) diff --git a/requirements.txt b/requirements.txt index 7551a29c..15fccbbb 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,46 +1,366 @@ -Pillow -PyYAML==5.3.1 +aiofiles==22.1.0 +aiosqlite==0.19.0 +alabaster==0.7.12 +alembic==1.4.3 +anyio==3.7.1 +apache-airflow==1.10.14 +apache-airflow-backport-providers-google==2020.11.23 +apache-airflow-providers-ftp==1.0.0 +apache-airflow-providers-http==1.0.0 +apache-airflow-providers-imap==1.0.0 +apache-airflow-providers-sqlite==1.0.0 +apache-beam==2.42.0 +apispec==1.3.3 +appnope==0.1.0 +argcomplete==1.10.0 +argon2-cffi==23.1.0 +argon2-cffi-bindings==21.2.0 +asn1crypto==0.24.0 +asyncio==3.4.3 +atomicwrites==1.3.0 +attrs==20.3.0 +avro-python3==1.9.1 +awscli==1.17.5 +Babel==2.14.0 +backcall==0.2.0 +beautifulsoup4==4.8.0 +bleach==6.0.0 +blis==0.4.1 +boto==2.49.0 +botocore==1.14.5 +bs4==0.0.1 +cached-property==1.5.2 cachetools==4.1.1 -certifi==2020.6.20 -cffi==1.14.3 +catalogue==2.0.6 +cattrs==1.1.2 +certifi==2019.6.16 +cffi==1.12.3 +cfgv==3.3.1 chardet==3.0.4 -google-api-core -google-auth-oauthlib -google-auth -google-cloud-bigquery-storage -google-cloud-bigquery -google-cloud-core -google-cloud-translate -google-crc32c -google-resumable-media -googleapis-common-protos -grpcio==1.33.1 -idna==2.10 -libcst==0.3.13 -linkchecker -mypy-extensions==0.4.3 -numpy==1.19.2 +charset-normalizer==3.3.0 +click==8.0.3 +clickclick==20.10.2 +cloudpickle==2.1.0 +colorama==0.4.1 +colorlog==4.0.2 +commonmark==0.9.1 +conda==4.7.10 +conda-package-handling==1.3.11 +configparser==3.5.3 +connexion==2.7.0 +coverage==6.5.0 +crcmod==1.7 +croniter==0.3.36 +cryptography==2.7 +cycler==0.10.0 +cymem==2.0.2 +Cython==0.29.32 +cytoolz==0.10.0 +debugpy==1.7.0 +decorator==4.4.0 +defusedxml==0.6.0 +dill==0.3.1.1 +dimcli==0.6.4.2 +distlib==0.3.8 +dnspython==2.0.0 +docopt==0.6.2 +docutils==0.15.2 +docx2txt==0.8 +EbookLib==0.17.1 +email-validator==1.1.2 +en-core-web-lg==2.2.0 +en-core-web-sm==3.2.0 +entrypoints==0.4 +exceptiongroup==1.2.0 +extract-msg==0.23.1 +fastavro==1.7.4 +fasteners==0.15 +fastjsonschema==2.19.1 +feedparser==5.2.1 +filelock==3.12.2 +Flask==1.1.2 +Flask-Admin==1.5.4 +Flask-AppBuilder==2.3.4 +Flask-Babel==1.0.0 +Flask-Caching==1.3.3 +Flask-JWT-Extended==3.25.0 +Flask-Login==0.4.1 +Flask-OpenID==1.2.5 +Flask-SQLAlchemy==2.4.4 +flask-swagger==0.2.13 +Flask-WTF==0.14.3 +fsspec==2023.1.0 +funcsigs==1.0.2 +future==0.18.1 +fuzzywuzzy==0.18.0 +google-ads==8.1.0 +google-api-core==2.14.0 +google-api-python-client==1.8.0 +google-apitools==0.5.31 +google-auth==2.23.2 +google-auth-httplib2==0.1.1 +google-auth-oauthlib==0.4.2 +google-cloud-automl==1.0.1 +google-cloud-bigquery==2.34.4 +google-cloud-bigquery-datatransfer==1.1.1 +google-cloud-bigquery-storage==2.13.2 +google-cloud-bigtable==1.7.3 +google-cloud-container==1.0.1 +google-cloud-core==2.3.3 +google-cloud-datacatalog==0.7.0 +google-cloud-dataproc==1.1.1 +google-cloud-datastore==1.15.5 +google-cloud-dlp==3.12.3 +google-cloud-kms==1.4.0 +google-cloud-language==1.3.2 +google-cloud-logging==1.15.1 +google-cloud-memcache==0.2.0 +google-cloud-monitoring==1.1.0 +google-cloud-os-login==1.0.0 +google-cloud-pubsub==2.18.4 +google-cloud-pubsublite==1.7.0 +google-cloud-recommendations-ai==0.7.1 +google-cloud-redis==1.0.0 +google-cloud-secret-manager==1.0.0 +google-cloud-spanner==1.19.3 +google-cloud-speech==1.3.2 +google-cloud-storage==1.20.0 +google-cloud-tasks==1.5.0 +google-cloud-texttospeech==1.0.1 +google-cloud-translate==1.6.0 +google-cloud-videointelligence==1.16.3 +google-cloud-vision==1.0.2 +google-crc32c==1.5.0 +google-resumable-media==2.6.0 +googleapis-common-protos==1.61.0 +graphviz==0.15 +grpc-google-iam-v1==0.12.6 +grpcio-gcp==0.2.2 +grpcio-status==1.59.0 +gunicorn==19.10.0 +hdfs==2.5.8 +httplib2==0.12.0 +huggingface-hub==0.16.4 +identify==2.5.24 +idna==2.8 +igraph==0.1.11 +IMAPClient==2.1.0 +importlib-metadata==6.7.0 +importlib-resources==1.5.0 +inflection==0.5.1 +ipykernel==6.16.2 +ipython==7.9.0 +ipython-genutils==0.2.0 +iso8601==0.1.13 +isort==5.10.1 +itsdangerous==1.1.0 +jedi==0.15.1 +jellyfish==0.7.2 +jgraph==0.2.1 +Jinja2==2.11.2 +jmespath==0.9.4 +joblib==0.14.0 +json-merge-patch==0.2 +json5==0.9.14 +jsonschema==4.17.3 +jupyter-client==7.4.9 +jupyter-core==4.12.0 +jupyter-events==0.6.3 +jupyter-server==1.24.0 +jupyter-server-fileid==0.9.1 +jupyter-server-ydoc==0.8.0 +jupyter-ydoc==0.2.5 +jupyterlab==3.5.3 +jupyterlab-pygments==0.2.2 +jupyterlab-server==2.24.0 +kiwisolver==1.1.0 +langchain==0.0.27 +langcodes==3.3.0 +lazy-object-proxy==1.4.3 +leidenalg==0.7.0 +libarchive-c==2.8 +lockfile==0.12.2 +lxml==4.4.0 +Mako==1.1.3 +Markdown==2.6.11 +MarkupSafe==1.1.1 +marshmallow==2.21.0 +marshmallow-enum==1.5.1 +marshmallow-oneofschema==2.1.0 +marshmallow-sqlalchemy==0.23.1 +matplotlib==3.1.1 +matplotlib-inline==0.1.6 +mistune==3.0.2 +mock==2.0.0 +monotonic==1.5 +more-itertools==7.2.0 +munkres==1.1.2 +murmurhash==1.0.2 +natsort==7.1.0 +nbclassic==1.0.0 +nbclient==0.7.4 +nbconvert==7.6.0 +nbformat==5.8.0 +nest-asyncio==1.5.9 +networkx==2.3 +nodeenv==1.8.0 +notebook==6.5.6 +notebook-shim==0.2.3 +numpy==1.17.3 +oauth2client==3.0.0 oauthlib==3.1.0 -pandas-gbq==0.14.0 -pandas==1.1.3 -proto-plus==1.11.0 -protobuf==3.13.0 -pyarrow==4.0.1 -pyasn1-modules==0.2.8 -pyasn1==0.4.8 -pycountry -pycparser==2.20 +objsize==0.6.1 +olefile==0.46 +openapi-spec-validator==0.2.9 +orjson==3.9.7 +overrides==6.5.0 +packaging==21.3 +pandas==1.3.5 +pandas-gbq==0.14.1 +pandocfilters==1.5.0 +parso==0.5.1 +pathy==0.6.1 +pbr==5.4.3 +pdf2image==1.13.1 +pdfminer==20191125 +pdfminer.six==20181108 +pdftotext==2.1.5 +pendulum==1.4.4 +pep562==1.0 +pexpect==4.7.0 +pickleshare==0.7.5 +Pillow==7.2.0 +pkgutil-resolve-name==1.3.10 +plac==0.9.6 +platformdirs==4.0.0 +plotly==4.8.0 +pluggy==0.12.0 +pprintpp==0.4.0 +pre-commit==2.21.0 +preshed==3.0.2 +prison==0.1.3 +prometheus-client==0.17.1 +prompt-toolkit==2.0.10 +proto-plus==1.13.0 +protobuf==3.20.3 +psutil==5.7.3 +ptyprocess==0.6.0 +py==1.8.0 +pyarrow==7.0.0 +pyasn1==0.4.7 +pyasn1-modules==0.2.6 +pycosat==0.6.3 +pycountry==22.3.5 +pycountry-convert==0.7.2 +pycparser==2.19 +pycryptodome==3.9.8 +pydantic==1.8.2 pydata-google-auth==1.1.0 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AI patent applications were filed by {data.name} ({yearSpanNdash})
, + key: "ai-patent-grants", + stat: <>{commas(data.patents.ai_patents_grants.total)}, + text:
AI patents were granted to {data.name} ({yearSpanNdash})
, }, { key: "ai-focused-percent", diff --git a/web/gui-v2/src/static_data/data.js b/web/gui-v2/src/static_data/data.js index a2e7122b..0d540c82 100644 --- a/web/gui-v2/src/static_data/data.js +++ b/web/gui-v2/src/static_data/data.js @@ -1,3 +1,3 @@ -const company_data = [{"cset_id": 803, "country": "Ireland", "website": "https://www.accenture.com/us-en", "crunchbase": {"text": "0d5171b3-68b3-37c3-cb50-8cd8ccb8930b", "url": "https://www.crunchbase.com/organization/accenture"}, "child_crunchbase": [], "linkedin": ["https://www.linkedin.com/company/accenture"], "stage": "Mature", "name": "Accenture PLC", "patent_name": "accenture plc", "continent": "Europe", "local_logo": "accenture_plc.png", "aliases": "Accenture; Andersen", "permid_links": [{"text": 4295903017, "url": "https://permid.org/1-4295903017"}], "parent_info": null, "agg_child_info": null, "unagg_child_info": null, "market_filt": [{"text": "NYSE:ACN", "url": "https://www.google.com/finance/quote/acn:nyse"}], "market_full": 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"wikipedia_description": "SZ DJI Technology Co., Ltd. or Shenzhen DJI Sciences and Technologies Ltd. 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Services"}, "219": {"economic": "Technology", "business": "Software & IT Services"}, "195": {"economic": "Industrials", "business": "Industrial & Commercial Services"}, "663": {"economic": "Healthcare", "business": "Healthcare Services & Equipment"}, "336": {"economic": "Consumer Cyclicals", "business": "Automobiles & Auto Parts"}, "839": {"economic": "Technology", "business": "Software & IT Services"}, "1390": {"economic": "Technology", "business": "Telecommunications Services"}, "2061": {"economic": "Consumer Cyclicals", "business": "Automobiles & Auto Parts"}, "2499": {"economic": "Healthcare", "business": "Healthcare Services & Equipment"}, "289": {"economic": "Technology", "business": "Technology Equipment"}, "840": {"economic": "Technology", "business": "Software & IT Services"}, "429": {"economic": "Technology", "business": "Software & IT Services"}, "1707": {"economic": "Technology", "business": "Technology Equipment"}, "1617": {"economic": "Energy", "business": "Energy - Fossil Fuels"}, "2045": {"economic": "Consumer Cyclicals", "business": "Automobiles & Auto Parts"}, "711": {"economic": "Consumer Cyclicals", "business": "Cyclical Consumer Services"}, "512": {"economic": "Financials", "business": "Banking & Investment Services"}, "335": {"economic": "Technology", "business": "Technology Equipment"}, "674": {"economic": "Technology", "business": "Software & IT Services"}, "837": {"economic": "Consumer Cyclicals", "business": "Cyclical Consumer Services"}, "1907": {"economic": "Basic Materials", "business": "Mineral Resources"}, "845": {"economic": "Technology", "business": "Software & IT Services"}, "2100": {"economic": "Industrials", "business": "Industrial Goods"}, "1847": {"economic": "Technology", "business": "Telecommunications Services"}, "1924": {"economic": "Utilities", "business": "Utilities"}, "803": {"economic": "Technology", "business": "Software & IT Services"}, "706": {"economic": "Technology", "business": "Software & IT Services"}, "842": {"economic": "Healthcare", "business": "Pharmaceuticals & Medical Research"}, "101": {"economic": "Technology", "business": "Software & IT Services"}, "2037": {"economic": "Industrials", "business": "Industrial Goods"}, "327": {"economic": "Technology", "business": "Technology Equipment"}, "1884": {"economic": "Consumer Cyclicals", "business": "Automobiles & Auto Parts"}, "1827": {"economic": "Energy", "business": "Energy - Fossil Fuels"}, "783": {"economic": "Consumer Cyclicals", "business": "Automobiles & Auto Parts"}, "1933": {"economic": "Consumer Cyclicals", "business": "Automobiles & Auto Parts"}, "936": {"economic": "Technology", "business": "Technology Equipment"}, "1987": {"economic": "Consumer Cyclicals", "business": "Automobiles & Auto Parts"}, "298": {"economic": "Consumer Non-Cyclicals", "business": "Consumer Goods Conglomerates"}, "1952": {"economic": "Technology", "business": "Telecommunications Services"}, "480": {"economic": "Industrials", "business": "Industrial Goods"}, "396": {"economic": "Technology", "business": "Telecommunications Services"}, "2109": {"economic": "Industrials", "business": "Industrial Goods"}, "112": {"economic": "Technology", "business": "Technology Equipment"}, "798": {"economic": "Industrials", "business": "Industrial Goods"}, "1385": {"economic": "Energy", "business": "Energy - Fossil Fuels"}, "2344": {"economic": "Energy", "business": "Energy - Fossil Fuels"}, "1785": {"economic": "Consumer Non-Cyclicals", "business": "Consumer Goods Conglomerates"}, "2235": {"economic": "Healthcare", "business": "Healthcare Services & Equipment"}, "2601": {"economic": "Industrials", "business": "Industrial Goods"}, "617": {"economic": "Healthcare", "business": "Healthcare Services & Equipment"}, "1867": {"economic": "Industrials", "business": "Industrial Goods"}, "676": {"economic": "Energy", "business": "Energy - Fossil Fuels"}, "1553": {"economic": "Healthcare", "business": "Healthcare Services & Equipment"}, "1564": {"economic": "Industrials", "business": "Industrial & Commercial Services"}, "599": {"economic": "Industrials", "business": "Industrial Goods"}, "2794": {"economic": "Industrials", "business": "Industrial Goods"}, "1917": {"economic": "Technology", "business": "Technology Equipment"}, "820": {"economic": "Consumer Cyclicals", "business": "Automobiles & Auto Parts"}, "2302": {"economic": "Industrials", "business": "Industrial Goods"}, "1515": {"economic": "Healthcare", "business": "Healthcare Services & Equipment"}, "1921": {"economic": "Industrials", "business": "Industrial Goods"}, "1967": {"economic": "Technology", "business": "Telecommunications Services"}, "487": {"economic": "Technology", "business": "Technology Equipment"}, "792": {"economic": "Financials", "business": "Collective Investments"}, "1918": {"economic": "Basic Materials", "business": "Mineral Resources"}, "2104": {"economic": "Technology", "business": "Telecommunications Services"}, "1767": {"economic": "Consumer Cyclicals", "business": "Automobiles & Auto Parts"}, "27": {"economic": "Technology", "business": "Technology Equipment"}, "2422": {"economic": "Technology", "business": "Technology Equipment"}, "383": {"economic": "Technology", "business": "Technology Equipment"}, "209": {"economic": "Technology", "business": "Technology Equipment"}, "3114": {"economic": "Technology", "business": "Technology Equipment"}, "2236": {"economic": "Technology", "business": "Technology Equipment"}, "553": {"economic": "Industrials", "business": "Industrial Goods"}, "1954": {"economic": "Consumer Cyclicals", "business": "Automobiles & Auto Parts"}, "784": {"economic": "Industrials", "business": "Industrial Goods"}, "163": {"economic": "Healthcare", "business": "Pharmaceuticals & Medical Research"}, "456": {"economic": "Consumer Cyclicals", "business": "Automobiles & Auto Parts"}, "597": {"economic": "Consumer Cyclicals", "business": "Automobiles & Auto Parts"}, "714": {"economic": "Technology", "business": "Technology Equipment"}, "800": {"economic": "Consumer Cyclicals", "business": "Automobiles & Auto Parts"}, "795": {"economic": "Consumer Cyclicals", "business": "Automobiles & Auto Parts"}, "1125": {"economic": "Technology", "business": "Software & IT Services"}, "790": {"economic": "Consumer Cyclicals", "business": "Automobiles & Auto Parts"}, "805": {"economic": "Technology", "business": "Telecommunications Services"}, "3131": {"economic": "Technology", "business": "Telecommunications Services"}, "949": {"economic": "Technology", "business": "Technology Equipment"}, "846": {"economic": "Industrials", "business": "Industrial & Commercial Services"}, "1126": {"economic": "Technology", "business": "Software & IT Services"}, "789": {"economic": "Industrials", "business": "Industrial Goods"}, "1132": {"economic": "Technology", "business": "Technology Equipment"}, "1393": {"economic": "Technology", "business": "Technology Equipment"}, "786": {"economic": "Industrials", "business": "Industrial & Commercial Services"}, "1784": {"economic": "Consumer Non-Cyclicals", "business": "Consumer Goods Conglomerates"}, "201": {"economic": "Healthcare", "business": "Healthcare Services & Equipment"}, "815": {"economic": "Industrials", "business": "Industrial Goods"}, "2075": {"economic": "Consumer Non-Cyclicals", "business": "Consumer Goods Conglomerates"}, "1129": {"economic": "Technology", "business": "Technology Equipment"}, "785": {"economic": "Healthcare", "business": "Healthcare Services & Equipment"}, "115": {"economic": "Technology", "business": "Software & IT Services"}, "787": {"economic": "Industrials", "business": "Industrial & Commercial Services"}, "127": {"economic": "Technology", "business": "Technology Equipment"}, "6": {"economic": "Technology", "business": "Software & IT Services"}, "811": {"economic": "Financials", "business": "Banking & Investment Services"}, "2279": {"economic": "Healthcare", "business": "Healthcare Services & Equipment"}, "833": {"economic": "Technology", "business": "Technology Equipment"}, "671": {"economic": "Technology", "business": "Technology Equipment"}, "812": {"economic": "Technology", "business": "Software & IT Services"}, "23": {"economic": "Consumer Cyclicals", "business": "Retailers"}, "1850": {"economic": "Consumer Non-Cyclicals", "business": "Consumer Goods Conglomerates"}, "2551": {"economic": "Technology", "business": "Technology Equipment"}, "796": {"economic": "Technology", "business": "Software & IT Services"}, "2050": {"economic": "Technology", "business": "Technology Equipment"}, "2291": {"economic": "Industrials", "business": "Industrial Goods"}, "2479": {"economic": "Industrials", "business": "Industrial Goods"}} \ No newline at end of file diff --git a/web/scripts/retrieve_data.py b/web/scripts/retrieve_data.py index 52f60c7b..5fbfe15e 100644 --- a/web/scripts/retrieve_data.py +++ b/web/scripts/retrieve_data.py @@ -90,7 +90,7 @@ def get_exchange_link(market_key: str) -> dict: :param market_key: exchange:ticker :return: A dict mapping market_key to the input market_key and link to the link, if successfully found, else None """ - time.sleep(5) + time.sleep(1) # for some mysterious reason, the ticker/market ordering is alphabetical in google finance first, last = sorted(market_key.strip(":").split(":")) gf_link = f"https://www.google.com/finance/quote/{first}:{last}" @@ -100,7 +100,7 @@ def get_exchange_link(market_key: str) -> dict: r = requests.get(gf_link, headers=headers) if "No results found" in r.text: gf_link = f"https://www.google.com/finance/quote/{last}:{first}" - time.sleep(5) + time.sleep(1) r = requests.get(gf_link, headers=headers) return {"market_key": market_key, "link": None if "No results found" in r.text else gf_link} else: @@ -338,12 +338,12 @@ def get_translation(desc: str, client, parent) -> str: # Check if desc appears to be in English, and if not, translate it if details[0][1].lower() != "en": print("Translating "+desc) - response = client.translate_text( - parent=parent, - contents=[desc], - mime_type="text/plain", - target_language_code="en" - ) + response = client.translate_text(request = { + "parent": parent, + "contents": [desc], + "mime_type": "text/plain", + "target_language_code": "en" + }) translation = response.translations[0].translated_text.strip() return translation return None @@ -366,7 +366,7 @@ def add_supplemental_descriptions(rows: list) -> None: } with open(SUPPLEMENTAL_DESCRIPTIONS) as f: client = translate.TranslationServiceClient() - parent = client.location_path("gcp-cset-projects", "global") + parent = "projects/gcp-cset-projects/locations/global" for row in csv.DictReader(f): company_name = row["company_name"] name_to_desc_info[company_name] = {desc_info[k]: row[k].strip() for k in desc_info} @@ -600,7 +600,6 @@ def clean_misc_fields(js: dict, refresh_images: bool, lowercase_to_orig_cname: d "global500": "in_fortune_global_500" } js["groups"] = {k: js.pop(v, False) for k, v in group_keys_to_names.items()} - js.pop("grid") def get_top_10_lists(js: dict) -> None: @@ -698,9 +697,9 @@ def get_category_counts(js: dict) -> None: "counts": [], "total": get_growth(counts, is_patents=True) }, - # spoof ai patent applications https://github.com/georgetown-cset/parat/issues/146 - "ai_patent_applications": { - "total": 42, + "ai_patents_grants": { + "counts": [], + "total": get_yearly_counts(js.pop("ai_patents_grants_by_year", {}), "ai_patents")[1], }, # spoof all patents https://github.com/georgetown-cset/parat/issues/125 "all_patents": { From 581e9eb18cb55ad480e062c05641454a211c57bc Mon Sep 17 00:00:00 2001 From: Jennifer Melot Date: Wed, 24 Jan 2024 16:26:30 -0500 Subject: [PATCH 5/6] Reduce changes in requirements.txt to salient one - pinning google cloud translate --- requirements.txt | 396 +++++------------------------------------------ 1 file changed, 38 insertions(+), 358 deletions(-) diff --git a/requirements.txt b/requirements.txt index 15fccbbb..4473fe92 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,366 +1,46 @@ -aiofiles==22.1.0 -aiosqlite==0.19.0 -alabaster==0.7.12 -alembic==1.4.3 -anyio==3.7.1 -apache-airflow==1.10.14 -apache-airflow-backport-providers-google==2020.11.23 -apache-airflow-providers-ftp==1.0.0 -apache-airflow-providers-http==1.0.0 -apache-airflow-providers-imap==1.0.0 -apache-airflow-providers-sqlite==1.0.0 -apache-beam==2.42.0 -apispec==1.3.3 -appnope==0.1.0 -argcomplete==1.10.0 -argon2-cffi==23.1.0 -argon2-cffi-bindings==21.2.0 -asn1crypto==0.24.0 -asyncio==3.4.3 -atomicwrites==1.3.0 -attrs==20.3.0 -avro-python3==1.9.1 -awscli==1.17.5 -Babel==2.14.0 -backcall==0.2.0 -beautifulsoup4==4.8.0 -bleach==6.0.0 -blis==0.4.1 -boto==2.49.0 -botocore==1.14.5 -bs4==0.0.1 -cached-property==1.5.2 +Pillow +PyYAML==5.3.1 cachetools==4.1.1 -catalogue==2.0.6 -cattrs==1.1.2 -certifi==2019.6.16 -cffi==1.12.3 -cfgv==3.3.1 +certifi==2020.6.20 +cffi==1.14.3 chardet==3.0.4 -charset-normalizer==3.3.0 -click==8.0.3 -clickclick==20.10.2 -cloudpickle==2.1.0 -colorama==0.4.1 -colorlog==4.0.2 -commonmark==0.9.1 -conda==4.7.10 -conda-package-handling==1.3.11 -configparser==3.5.3 -connexion==2.7.0 -coverage==6.5.0 -crcmod==1.7 -croniter==0.3.36 -cryptography==2.7 -cycler==0.10.0 -cymem==2.0.2 -Cython==0.29.32 -cytoolz==0.10.0 -debugpy==1.7.0 -decorator==4.4.0 -defusedxml==0.6.0 -dill==0.3.1.1 -dimcli==0.6.4.2 -distlib==0.3.8 -dnspython==2.0.0 -docopt==0.6.2 -docutils==0.15.2 -docx2txt==0.8 -EbookLib==0.17.1 -email-validator==1.1.2 -en-core-web-lg==2.2.0 -en-core-web-sm==3.2.0 -entrypoints==0.4 -exceptiongroup==1.2.0 -extract-msg==0.23.1 -fastavro==1.7.4 -fasteners==0.15 -fastjsonschema==2.19.1 -feedparser==5.2.1 -filelock==3.12.2 -Flask==1.1.2 -Flask-Admin==1.5.4 -Flask-AppBuilder==2.3.4 -Flask-Babel==1.0.0 -Flask-Caching==1.3.3 -Flask-JWT-Extended==3.25.0 -Flask-Login==0.4.1 -Flask-OpenID==1.2.5 -Flask-SQLAlchemy==2.4.4 -flask-swagger==0.2.13 -Flask-WTF==0.14.3 -fsspec==2023.1.0 -funcsigs==1.0.2 -future==0.18.1 -fuzzywuzzy==0.18.0 -google-ads==8.1.0 -google-api-core==2.14.0 -google-api-python-client==1.8.0 -google-apitools==0.5.31 -google-auth==2.23.2 -google-auth-httplib2==0.1.1 -google-auth-oauthlib==0.4.2 -google-cloud-automl==1.0.1 -google-cloud-bigquery==2.34.4 -google-cloud-bigquery-datatransfer==1.1.1 -google-cloud-bigquery-storage==2.13.2 -google-cloud-bigtable==1.7.3 -google-cloud-container==1.0.1 -google-cloud-core==2.3.3 -google-cloud-datacatalog==0.7.0 -google-cloud-dataproc==1.1.1 -google-cloud-datastore==1.15.5 -google-cloud-dlp==3.12.3 -google-cloud-kms==1.4.0 -google-cloud-language==1.3.2 -google-cloud-logging==1.15.1 -google-cloud-memcache==0.2.0 -google-cloud-monitoring==1.1.0 -google-cloud-os-login==1.0.0 -google-cloud-pubsub==2.18.4 -google-cloud-pubsublite==1.7.0 -google-cloud-recommendations-ai==0.7.1 -google-cloud-redis==1.0.0 -google-cloud-secret-manager==1.0.0 -google-cloud-spanner==1.19.3 -google-cloud-speech==1.3.2 -google-cloud-storage==1.20.0 -google-cloud-tasks==1.5.0 -google-cloud-texttospeech==1.0.1 +google-api-core +google-auth-oauthlib +google-auth +google-cloud-bigquery-storage +google-cloud-bigquery +google-cloud-core google-cloud-translate==1.6.0 -google-cloud-videointelligence==1.16.3 -google-cloud-vision==1.0.2 -google-crc32c==1.5.0 -google-resumable-media==2.6.0 -googleapis-common-protos==1.61.0 -graphviz==0.15 -grpc-google-iam-v1==0.12.6 -grpcio-gcp==0.2.2 -grpcio-status==1.59.0 -gunicorn==19.10.0 -hdfs==2.5.8 -httplib2==0.12.0 -huggingface-hub==0.16.4 -identify==2.5.24 -idna==2.8 -igraph==0.1.11 -IMAPClient==2.1.0 -importlib-metadata==6.7.0 -importlib-resources==1.5.0 -inflection==0.5.1 -ipykernel==6.16.2 -ipython==7.9.0 -ipython-genutils==0.2.0 -iso8601==0.1.13 -isort==5.10.1 -itsdangerous==1.1.0 -jedi==0.15.1 -jellyfish==0.7.2 -jgraph==0.2.1 -Jinja2==2.11.2 -jmespath==0.9.4 -joblib==0.14.0 -json-merge-patch==0.2 -json5==0.9.14 -jsonschema==4.17.3 -jupyter-client==7.4.9 -jupyter-core==4.12.0 -jupyter-events==0.6.3 -jupyter-server==1.24.0 -jupyter-server-fileid==0.9.1 -jupyter-server-ydoc==0.8.0 -jupyter-ydoc==0.2.5 -jupyterlab==3.5.3 -jupyterlab-pygments==0.2.2 -jupyterlab-server==2.24.0 -kiwisolver==1.1.0 -langchain==0.0.27 -langcodes==3.3.0 -lazy-object-proxy==1.4.3 -leidenalg==0.7.0 -libarchive-c==2.8 -lockfile==0.12.2 -lxml==4.4.0 -Mako==1.1.3 -Markdown==2.6.11 -MarkupSafe==1.1.1 -marshmallow==2.21.0 -marshmallow-enum==1.5.1 -marshmallow-oneofschema==2.1.0 -marshmallow-sqlalchemy==0.23.1 -matplotlib==3.1.1 -matplotlib-inline==0.1.6 -mistune==3.0.2 -mock==2.0.0 -monotonic==1.5 -more-itertools==7.2.0 -munkres==1.1.2 -murmurhash==1.0.2 -natsort==7.1.0 -nbclassic==1.0.0 -nbclient==0.7.4 -nbconvert==7.6.0 -nbformat==5.8.0 -nest-asyncio==1.5.9 -networkx==2.3 -nodeenv==1.8.0 -notebook==6.5.6 -notebook-shim==0.2.3 -numpy==1.17.3 -oauth2client==3.0.0 +google-crc32c +google-resumable-media +googleapis-common-protos +grpcio==1.33.1 +idna==2.10 +libcst==0.3.13 +linkchecker +mypy-extensions==0.4.3 +numpy==1.19.2 oauthlib==3.1.0 -objsize==0.6.1 -olefile==0.46 -openapi-spec-validator==0.2.9 -orjson==3.9.7 -overrides==6.5.0 -packaging==21.3 -pandas==1.3.5 -pandas-gbq==0.14.1 -pandocfilters==1.5.0 -parso==0.5.1 -pathy==0.6.1 -pbr==5.4.3 -pdf2image==1.13.1 -pdfminer==20191125 -pdfminer.six==20181108 -pdftotext==2.1.5 -pendulum==1.4.4 -pep562==1.0 -pexpect==4.7.0 -pickleshare==0.7.5 -Pillow==7.2.0 -pkgutil-resolve-name==1.3.10 -plac==0.9.6 -platformdirs==4.0.0 -plotly==4.8.0 -pluggy==0.12.0 -pprintpp==0.4.0 -pre-commit==2.21.0 -preshed==3.0.2 -prison==0.1.3 -prometheus-client==0.17.1 -prompt-toolkit==2.0.10 -proto-plus==1.13.0 -protobuf==3.20.3 -psutil==5.7.3 -ptyprocess==0.6.0 -py==1.8.0 -pyarrow==7.0.0 -pyasn1==0.4.7 -pyasn1-modules==0.2.6 -pycosat==0.6.3 -pycountry==22.3.5 -pycountry-convert==0.7.2 -pycparser==2.19 -pycryptodome==3.9.8 -pydantic==1.8.2 +pandas-gbq==0.14.0 +pandas==1.1.3 +proto-plus==1.11.0 +protobuf==3.13.0 +pyarrow==4.0.1 +pyasn1-modules==0.2.8 +pyasn1==0.4.8 +pycountry +pycparser==2.20 pydata-google-auth==1.1.0 -pydot==1.4.1 -pyemd==0.5.1 -Pygments==2.4.2 -PyJWT==1.7.1 -pylatexenc==2.10 -pymongo==3.9.0 -PyMuPDF==1.17.5 -pyOpenSSL==19.0.0 -pyparsing==2.4.2 -PyPDF2==1.26.0 -Pyphen==0.9.5 -pyrsistent==0.17.3 -PySocks==1.7.0 -pytesseract==0.3.5 -pytest==5.0.1 -pytest-cov==4.1.0 -pytest-mock==3.11.1 -python-daemon==2.2.4 -python-dateutil==2.8.2 -python-editor==1.0.4 -python-igraph==0.7.1.post6 -python-json-logger==2.0.7 -python-nvd3==0.15.0 -python-pptx==0.6.18 -python-slugify==4.0.1 -python3-openid==3.2.0 +python-dateutil==2.8.1 pytz==2020.1 -pytzdata==2020.1 -PyYAML==5.3.1 -pyzmq==25.1.2 -regex==2023.10.3 -repoze.lru==0.7 -requests==2.31.0 requests-oauthlib==1.3.0 -retrying==1.3.3 -rfc3339-validator==0.1.4 -rfc3986-validator==0.1.1 -rich==9.2.0 -rsa==3.4.2 -ruamel-yaml==0.15.46 -s3transfer==0.3.1 -safetensors==0.4.0 -scikit-learn==0.21.3 -scipy==1.3.1 -seaborn==0.9.0 -selenium==3.141.0 -Send2Trash==1.8.2 -setproctitle==1.2.1 -six==1.12.0 -smart-open==5.2.1 -sniffio==1.3.0 -snorkel==0.9.3 -sortedcontainers==2.2.2 -soupsieve==1.9.5 -spacy==3.2.0 -spacy-legacy==3.0.8 -spacy-loggers==1.0.1 -SpeechRecognition==3.8.1 -SQLAlchemy==1.3.21 -SQLAlchemy-JSONField==0.9.0 -SQLAlchemy-Utils==0.36.8 -sqlparse==0.4.4 -srsly==2.4.2 -swagger-ui-bundle==0.0.8 -tabulate==0.8.7 -tenacity==4.12.0 -tensorboardX==1.9 -termcolor==1.1.0 -terminado==0.17.1 -text-unidecode==1.3 -textacy==0.9.1 -textract==1.6.3 -thinc==8.0.13 -thrift==0.13.0 -tika==1.24 -timeout-decorator==0.4.1 -tinycss2==1.2.1 -tokenizers==0.13.3 -toml==0.10.0 -tomli==2.0.1 -toolz==0.10.0 -torch==1.1.0.post2 -tornado==6.2 -tox==3.14.1 -tqdm==4.42.1 -traitlets==4.3.3 -transformers==4.30.2 -typer==0.4.0 +requests==2.24.0 +rsa==4.6 +six==1.15.0 typing-extensions==3.7.4.3 -tzlocal==1.5.1 -unicodecsv==0.14.1 -uritemplate==3.0.1 -urllib3==1.25.3 -virtualenv==20.25.0 -wasabi==0.8.2 -wcwidth==0.1.7 -webencodings==0.5.1 -websocket-client==1.6.1 -Werkzeug==0.16.1 -WTForms==2.3.3 -xlrd==1.2.0 -XlsxWriter==1.3.3 -xmltodict==0.12.0 -y-py==0.6.2 -ypy-websocket==0.8.4 -zipp==0.5.2 -zope.deprecation==4.4.0 -zstandard==0.21.0 +typing-inspect==0.6.0 +urllib3==1.25.11 +pycountry-convert +pycld2 +pytest +tqdm From 0cb39ca6d785074c68969568e42e11e11e663fbd Mon Sep 17 00:00:00 2001 From: Jennifer Melot Date: Wed, 24 Jan 2024 16:52:48 -0500 Subject: [PATCH 6/6] Update tests --- web/gui-v2/src/components/ListView.test.js | 8 +- web/tests/test_data/alphabet_input.json | 129 ++++++++++++++++++- web/tests/test_data/alphabet_output.json | 5 +- web/tests/test_data/hugging_face_input.json | 1 - web/tests/test_data/hugging_face_output.json | 9 +- 5 files changed, 138 insertions(+), 14 deletions(-) diff --git a/web/gui-v2/src/components/ListView.test.js b/web/gui-v2/src/components/ListView.test.js index 30fc4f5e..5a027a79 100644 --- a/web/gui-v2/src/components/ListView.test.js +++ b/web/gui-v2/src/components/ListView.test.js @@ -25,16 +25,16 @@ describe("ListView", () => { ); // Filter by Europe and verify that the count updates - expect(screen.getByText('Viewing 1760 companies')).toBeVisible(); + expect(screen.getByText('Viewing 1779 companies')).toBeVisible(); const regionHeader = screen.getByRole('columnheader', { name: /country/i }); await user.click(getByRole(regionHeader, 'button')); const menu = screen.getByRole('listbox'); await user.click(getByText(menu, 'China')); - expect(screen.getByText('Viewing 267 of 1760 companies')).toBeVisible(); + expect(screen.getByText('Viewing 269 of 1779 companies')).toBeVisible(); // Reset the filters and verify that the count updates await user.click(screen.getByRole('button', { name: /reset filters/i })); - expect(screen.getByText('Viewing 1760 companies')).toBeVisible(); + expect(screen.getByText('Viewing 1779 companies')).toBeVisible(); }, 20000); @@ -49,7 +49,7 @@ describe("ListView", () => { await user.click(getByRole(companyHeader, 'combobox')); const menu = screen.getByRole('listbox'); await user.click(getByText(menu, 'S&P 500')); - expect(screen.getByText('Viewing 499 of 1760 companies')).toBeVisible(); + expect(screen.getByText('Viewing 503 of 1779 companies')).toBeVisible(); }, 20000); diff --git a/web/tests/test_data/alphabet_input.json b/web/tests/test_data/alphabet_input.json index 5664f21a..188ea45f 100644 --- a/web/tests/test_data/alphabet_input.json +++ b/web/tests/test_data/alphabet_input.json @@ -132,9 +132,6 @@ "crunchbase_url": "https://www.crunchbase.com/organization/verily-2" } ], - "grid": [ - "grid.497059.6" - ], "linkedin": [ "https://www.linkedin.com/company/intrinsic", "https://www.linkedin.com/company/alphabet-inc", @@ -2429,6 +2426,132 @@ "ai_patents": 64 } ], + "ai_patents_grants_by_year": [ + { + "priority_year": 1988, + "ai_patents": 1 + }, + { + "priority_year": 1991, + "ai_patents": 1 + }, + { + "priority_year": 1994, + "ai_patents": 6 + }, + { + "priority_year": 1995, + "ai_patents": 2 + }, + { + "priority_year": 1996, + "ai_patents": 7 + }, + { + "priority_year": 1997, + "ai_patents": 5 + }, + { + "priority_year": 1998, + "ai_patents": 5 + }, + { + "priority_year": 1999, + "ai_patents": 6 + }, + { + "priority_year": 2000, + "ai_patents": 5 + }, + { + "priority_year": 2001, + "ai_patents": 5 + }, + { + "priority_year": 2002, + "ai_patents": 5 + }, + { + "priority_year": 2003, + "ai_patents": 4 + }, + { + "priority_year": 2004, + "ai_patents": 9 + }, + { + "priority_year": 2005, + "ai_patents": 14 + }, + { + "priority_year": 2006, + "ai_patents": 12 + }, + { + "priority_year": 2007, + "ai_patents": 18 + }, + { + "priority_year": 2008, + "ai_patents": 15 + }, + { + "priority_year": 2009, + "ai_patents": 25 + }, + { + "priority_year": 2010, + "ai_patents": 56 + }, + { + "priority_year": 2011, + "ai_patents": 74 + }, + { + "priority_year": 2012, + "ai_patents": 89 + }, + { + "priority_year": 2013, + "ai_patents": 119 + }, + { + "priority_year": 2014, + "ai_patents": 91 + }, + { + "priority_year": 2015, + "ai_patents": 150 + }, + { + "priority_year": 2016, + "ai_patents": 251 + }, + { + "priority_year": 2017, + "ai_patents": 332 + }, + { + "priority_year": 2018, + "ai_patents": 264 + }, + { + "priority_year": 2019, + "ai_patents": 267 + }, + { + "priority_year": 2020, + "ai_patents": 133 + }, + { + "priority_year": 2021, + "ai_patents": 25 + }, + { + "priority_year": 2022, + "ai_patents": 2 + } + ], "Physical_Sciences_and_Engineering_pats_by_year": [ { "priority_year": 1995, diff --git a/web/tests/test_data/alphabet_output.json b/web/tests/test_data/alphabet_output.json index 17ba5d31..f2904926 100644 --- a/web/tests/test_data/alphabet_output.json +++ b/web/tests/test_data/alphabet_output.json @@ -521,9 +521,10 @@ "table": null, "total": 12.192163477671421 }, - "ai_patent_applications": { + "ai_patents_grants": { + "counts": [], "table": null, - "total": 42 + "total": 1634 }, "all_patents": { "counts": [ diff --git a/web/tests/test_data/hugging_face_input.json b/web/tests/test_data/hugging_face_input.json index 65b60eb6..63b8a13b 100644 --- a/web/tests/test_data/hugging_face_input.json +++ b/web/tests/test_data/hugging_face_input.json @@ -24,7 +24,6 @@ "crunchbase_url": "https://www.crunchbase.com/organization/hugging-face" }, "child_crunchbase": [], - "grid": [], "linkedin": [ "https://www.linkedin.com/company/huggingface" ], diff --git a/web/tests/test_data/hugging_face_output.json b/web/tests/test_data/hugging_face_output.json index 225af4ad..6505305f 100644 --- a/web/tests/test_data/hugging_face_output.json +++ b/web/tests/test_data/hugging_face_output.json @@ -402,17 +402,18 @@ 0, 0 ], - "total": 0.0, + "total": 0, "table": null }, "ai_patents_growth": { "counts": [], "table": null, - "total": 0.0 + "total": 0 }, - "ai_patent_applications": { + "ai_patents_grants": { + "counts": [], "table": null, - "total": 42 + "total": 0 }, "all_patents": { "counts": [