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a/scripts/issundb_load.py b/scripts/issundb_load.py index 30b9712..1f1803c 100644 --- a/scripts/issundb_load.py +++ b/scripts/issundb_load.py @@ -72,6 +72,7 @@ def build_script( lines.append(f"CREATE INDEX FOR (n:{label}) ON (n.{prop})") lines.append("rebuild-csr") + lines.append("materialize-columns") lines.append("stats") lines.append("quit") return "\n".join(lines) + "\n", expected_nodes diff --git a/tests/test_issundb_load.py b/tests/test_issundb_load.py index 55f4dcc..8a541da 100644 --- a/tests/test_issundb_load.py +++ b/tests/test_issundb_load.py @@ -40,7 +40,12 @@ def test_orders_nodes_before_edges_and_appends_constraints(self, tmp_path: Path) assert lines[1] == f":import-edges {(tmp_path / 'edges_a.parquet').resolve()} A A SELF" assert "CREATE CONSTRAINT ON (n:A) ASSERT n.Id IS UNIQUE" in lines assert "CREATE INDEX FOR (n:A) ON (n.Name)" in lines - assert lines[-3:] == ["rebuild-csr", "stats", "quit"] + assert lines[-4:] == [ + "rebuild-csr", + "materialize-columns", + "stats", + "quit", + ] assert expected_nodes == {"nodes_a.parquet": 2} def test_missing_node_file_raises_with_hint(self, tmp_path: Path) -> None: From f85552b73003a9386c785a17b51aa58f1c8dee8b Mon Sep 17 00:00:00 2001 From: Hassan Abedi Date: Sun, 2 Aug 2026 17:22:09 +0200 Subject: [PATCH 4/9] Optimize the data loading a bit --- scripts/stage_competition_subset.py | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/scripts/stage_competition_subset.py b/scripts/stage_competition_subset.py index 4d6f583..59d05d9 100644 --- a/scripts/stage_competition_subset.py +++ b/scripts/stage_competition_subset.py @@ -54,8 +54,24 @@ def csv(meta_dir: Path, name: str) -> str: def copy_parquet(con: duckdb.DuckDBPyConnection, query: str, output: Path) -> None: + """Write `query` to a Parquet file, ordered by its first column. + + Every node query selects `Id` first and every edge query selects its source + first, so one `ORDER BY 1` sorts both usefully. It is a load-time + optimization rather than a cosmetic one, and the two halves only pay off + together: the importer allocates node ids in file order, so sorting the node + files makes an IssunDB id ascend with the domain `Id`, and sorting the edge + files by source then makes the `out_adj` writes land in ascending key order + instead of scattering across the tree. Measured on a synthetic 1 M-node, + 4 M-edge graph, that took the edge phase from 19.5 s to 14.0 s. + + Sorting costs a little here, where DuckDB is doing it over a columnar batch, + and saves more there, where the alternative is random B-tree page access. + """ output.parent.mkdir(parents=True, exist_ok=True) - con.execute(f"COPY ({query}) TO {sql_literal(output)} (FORMAT PARQUET)") + con.execute( + f"COPY (SELECT * FROM ({query}) ORDER BY 1) TO {sql_literal(output)} (FORMAT PARQUET)" + ) def warn_on_unparseable_enabled_dates(con: duckdb.DuckDBPyConnection, meta_dir: Path) -> None: From 8c431cdc34b0a27a6950c09afa0ee0b090caab3a Mon Sep 17 00:00:00 2001 From: Hassan Abedi Date: Sat, 5 Sep 2026 21:29:41 +0200 Subject: [PATCH 5/9] Update Python dependencies --- AGENTS.md | 14 +- uv.lock | 1347 ++++++++++++++++++++++++++++++----------------------- 2 files changed, 779 insertions(+), 582 deletions(-) diff --git a/AGENTS.md b/AGENTS.md index a424283..d6ed1b0 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -5,14 +5,15 @@ This file provides guidance to coding agents collaborating on this repository. ## Mission This project builds graph databases from the [Meta Kaggle](https://www.kaggle.com/datasets/kaggle/meta-kaggle) dataset and loads them -into [IssunDB](https://github.com/habedi/issun-db), an embedded graph database. -The pipeline stages source files with DuckDB, parses code imports with Polars, parses Python API calls with Tree-sitter, and bulk-loads nodes and edges through the IssunDB CLI. -The project priorities include correct graph construction, reproducible builds, scoped subset testing, and idiomatic Python. +into [IssunDB](https://github.com/habedi/issun-db), an embedded graph database. The pipeline stages source files with DuckDB, parses code imports with +Polars, parses Python API calls with Tree-sitter, and bulk-loads nodes and edges through the IssunDB CLI. The project priorities include correct graph +construction, reproducible builds, scoped subset testing, and idiomatic Python. ## Core Rules - Use English for code, comments, documentation, and tests. -- Stage with DuckDB, parse code imports with Polars, parse Python API calls with Tree-sitter, and load through the IssunDB command line interface. Do not mix these roles. +- Stage with DuckDB, parse code imports with Polars, parse Python API calls with Tree-sitter, and load through the IssunDB command line interface. Do + not mix these roles. - Bulk-load nodes and edges with command line tools instead of Cypher queries. - Keep the large local source data out of the repository. - Ensure staging is deterministic by using a fixed seed rule and fixed source data. @@ -30,7 +31,7 @@ The project priorities include correct graph construction, reproducible builds, - Avoid em dashes by using semicolons or restructuring sentences. - Avoid colorful adjectives and adverbs. - Balance the use of noun phrases for checklist items and imperative verbs. -- Apply title case to headings in Markdown files. +- Apply the title case to headings in Markdown files. - Use correct and complete sentences. - Avoid made-up words, abbreviations, and colons in the middle of sentences. @@ -76,7 +77,8 @@ The project priorities include correct graph construction, reproducible builds, ## Workflow -The workflow includes stage identification before coding, schema checks in `databases/metadata_inventory.md`, scoped pipeline changes with tunable `make` +The workflow includes stage identification before coding, schema checks in `databases/metadata_inventory.md`, scoped pipeline changes with tunable +`make` variables, dry run staging on subsets, code formatting, and repository documentation updates when behavior changes. ## Testing Expectations diff --git a/uv.lock b/uv.lock index 0ef2138..50e7b8a 100644 --- a/uv.lock +++ b/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 2 +revision = 3 requires-python = ">=3.10, <4.0" resolution-markers = [ "python_full_version >= '3.15'", @@ -9,52 +9,75 @@ resolution-markers = [ [[package]] name = "argcomplete" -version = "3.7.0" +version = "3.7.2" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/95/c0/c8e94135e66fabf89a120d9b4b123fe6993506beca6c1938a74c24cfa5fd/argcomplete-3.7.0.tar.gz", hash = "sha256:afde224f753f874807b1dc1414e883ab8fe0cda9c04807b6047dcb8e1ac23913", size = 73284, upload-time = "2026-06-30T22:28:22.249Z" } 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- { url = "https://files.pythonhosted.org/packages/f4/24/2a3e3df732393fed8b3ebf2ec078f05546de641fe1b667ee316ec1dcf3b7/webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78", size = 11774, upload-time = "2017-04-05T20:21:32.581Z" }, + { url = "https://files.pythonhosted.org/packages/77/c6/040cbc72480d789a5f40d63fb484d3106554c4dfa2d2b70ad5022057750f/webencodings-0.6.1-py3-none-any.whl", hash = "sha256:7fab6269c8bf237c657876b52058ccb182e861518d1c695c1a9aaa8c1c105d5b", size = 8745, upload-time = "2026-08-15T14:22:56.31Z" }, ] From 6da6208485e929d9cbc5ac903f5443fd4b4bc9af Mon Sep 17 00:00:00 2001 From: Hassan Abedi Date: Sat, 5 Sep 2026 21:46:39 +0200 Subject: [PATCH 6/9] Fix a few bugs --- AGENTS.md | 1 + pyproject.toml | 2 +- scripts/load_competition_kg.py | 6 +- scripts/parse_imports.py | 4 +- scripts/stage_competition_subset.py | 98 +++++++++++++++++------ scripts/stage_kernel_subset.py | 24 +++--- tests/csv_fixtures.py | 11 +++ tests/test_parse_imports.py | 22 +++++ tests/test_stage_competition_subset.py | 106 ++++++++++++++++++++++++- tests/test_stage_kernel_subset.py | 101 ++++++++++++++++++++++- 10 files changed, 334 insertions(+), 41 deletions(-) diff --git a/AGENTS.md b/AGENTS.md index d6ed1b0..42de77a 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -71,6 +71,7 @@ construction, reproducible builds, scoped subset testing, and idiomatic Python. - Node files are `Id`-first. The `Id` column is auto-indexed. Edge files contain source and destination `Id` keys. - Unresolved edge endpoints are dropped. Malformed rows cause errors. +- Staging only seeds users and organizations that have a row in `Users.csv` or `Organizations.csv`, and it filters every user and organization edge through those seed tables, so no staged edge points to a missing node. - Bulk loading must use `:import-edges` instead of Cypher `UNWIND ... CREATE` queries. - Node property lookups use auto-indexed full-text indexes. Raw markup language bodies must be searched with `CONTAINS` scans. - Cypher query lines take string literals verbatim. diff --git a/pyproject.toml b/pyproject.toml index 3cc3268..2ca3057 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -68,7 +68,7 @@ check_untyped_defs = true warn_return_any = true strict_optional = true warn_redundant_casts = true -exclude = "^(benches/|examples/|tests/)" +exclude = "^(benches/|examples/|tests/|tmp/)" [tool.ruff] exclude = [ diff --git a/scripts/load_competition_kg.py b/scripts/load_competition_kg.py index 7719bdb..b905edb 100644 --- a/scripts/load_competition_kg.py +++ b/scripts/load_competition_kg.py @@ -1,7 +1,7 @@ """Load the staged competition subset into an IssunDB database. This driver generates an IssunDB CLI script that bulk-imports the staged node and -edge CSVs, declares uniqueness constraints and full-text indexes, rebuilds the CSR +edge Parquet files, declares uniqueness constraints and full-text indexes, rebuilds the CSR snapshot, and prints statistics. It then runs the CLI, captures the log, and validates the load: every node file must import in full, no edge row may be malformed, and no command may error (a failed uniqueness constraint means the @@ -23,7 +23,7 @@ from issundb_load import load_and_validate -# Node CSV file names and the label each file's rows carry. Loaded before edges +# Node Parquet file names and the label each file's rows carry. Loaded before edges # so the edge importer can resolve endpoints by the auto-indexed `Id` property. NODE_FILES: list[tuple[str, str]] = [ ("nodes_competition.parquet", "Competition"), @@ -43,7 +43,7 @@ ("nodes_organization.parquet", "Organization"), ] -# Edge CSV file names with their source label, destination label, and type. +# Edge Parquet file names with their source label, destination label, and type. EDGE_FILES: list[tuple[str, str, str, str]] = [ ("edges_team_competed_in_competition.parquet", "Team", "Competition", "COMPETED_IN"), ("edges_user_member_of_team.parquet", "User", "Team", "MEMBER_OF_TEAM"), diff --git a/scripts/parse_imports.py b/scripts/parse_imports.py index 69ef1d1..1565e59 100644 --- a/scripts/parse_imports.py +++ b/scripts/parse_imports.py @@ -116,7 +116,9 @@ def main() -> None: for library in imported_libraries(text): rows.append((kernel_version_id, library)) - imports = pl.DataFrame(rows, schema=["KernelVersionId", "Library"], orient="row") + imports = pl.DataFrame( + rows, schema={"KernelVersionId": pl.Utf8, "Library": pl.Utf8}, orient="row" + ) imports = imports.unique().sort(["KernelVersionId", "Library"]) libraries = imports.select(pl.col("Library").alias("Id")).unique().sort("Id") diff --git a/scripts/stage_competition_subset.py b/scripts/stage_competition_subset.py index 59d05d9..0bb69ea 100644 --- a/scripts/stage_competition_subset.py +++ b/scripts/stage_competition_subset.py @@ -1,4 +1,4 @@ -"""Stage a competition-centered Meta Kaggle subset as node and edge CSVs. +"""Stage a competition-centered Meta Kaggle subset as node and edge Parquet files. Scope (post-2020, curated): - Competitions enabled on or after 2020-01-01, excluding Community/in-class events. @@ -13,7 +13,7 @@ the above. Library nodes and IMPORTS edges are produced separately by `parse_imports.py`, which -reads `nodes_kernel_version.csv` from the same stage directory. +reads `nodes_kernel_version.parquet` from the same stage directory. """ from __future__ import annotations @@ -180,7 +180,8 @@ def create_seed_tables( CREATE OR REPLACE TEMP TABLE seed_kernel_versions AS SELECT DISTINCT kv.* FROM {csv(meta_dir, "KernelVersions.csv")} kv - JOIN {csv(meta_dir, "KernelVersionCompetitionSources.csv")} src ON src.KernelVersionId = kv.Id + JOIN {csv(meta_dir, "KernelVersionCompetitionSources.csv")} src + ON src.KernelVersionId = kv.Id JOIN seed_competitions c ON c.Id = src.SourceCompetitionId JOIN seed_kernels k ON k.Id = kv.ScriptId """ @@ -216,7 +217,7 @@ def create_seed_tables( FROM {csv(meta_dir, "Datasets.csv")} d JOIN seed_dataset_ids s ON d.Id = s.Id ) - WHERE OrganizationId IS NOT NULL + WHERE OrganizationId IN (SELECT Id FROM {csv(meta_dir, "Organizations.csv")}) """ ) # Seed discussion: forum topics and messages attached to the seed competitions. @@ -238,7 +239,7 @@ def create_seed_tables( ) # Seed users: users associated with the teams, submissions, kernels, or discussion. con.execute( - """ + f""" CREATE OR REPLACE TEMP TABLE seed_user_ids AS SELECT DISTINCT UserId AS Id FROM ( @@ -256,7 +257,7 @@ def create_seed_tables( UNION ALL SELECT PostUserId AS UserId FROM seed_forum_messages ) - WHERE UserId IS NOT NULL + WHERE UserId IN (SELECT Id FROM {csv(meta_dir, "Users.csv")}) """ ) @@ -404,17 +405,29 @@ def stage_edges(con: duckdb.DuckDBPyConnection, meta_dir: Path, stage_dir: Path) # Participation and scores. copy_parquet( con, - "SELECT Id AS from_team_id, CompetitionId AS to_competition_id FROM seed_teams WHERE CompetitionId IS NOT NULL", + """ + SELECT Id AS from_team_id, CompetitionId AS to_competition_id + FROM seed_teams + WHERE CompetitionId IS NOT NULL + """, stage_dir / "edges_team_competed_in_competition.parquet", ) copy_parquet( con, - "SELECT UserId AS from_user_id, TeamId AS to_team_id FROM seed_team_memberships WHERE UserId IS NOT NULL", + """ + SELECT UserId AS from_user_id, TeamId AS to_team_id + FROM seed_team_memberships + WHERE UserId IN (SELECT Id FROM seed_user_ids) + """, stage_dir / "edges_user_member_of_team.parquet", ) copy_parquet( con, - "SELECT TeamLeaderId AS from_user_id, Id AS to_team_id FROM seed_teams WHERE TeamLeaderId IS NOT NULL", + """ + SELECT TeamLeaderId AS from_user_id, Id AS to_team_id + FROM seed_teams + WHERE TeamLeaderId IN (SELECT Id FROM seed_user_ids) + """, stage_dir / "edges_user_led_team.parquet", ) copy_parquet( @@ -428,18 +441,27 @@ def stage_edges(con: duckdb.DuckDBPyConnection, meta_dir: Path, stage_dir: Path) ) copy_parquet( con, - "SELECT Id AS from_submission_id, TeamId AS to_team_id FROM seed_submissions WHERE TeamId IS NOT NULL", + """ + SELECT Id AS from_submission_id, TeamId AS to_team_id + FROM seed_submissions + WHERE TeamId IS NOT NULL + """, stage_dir / "edges_submission_for_team.parquet", ) copy_parquet( con, - "SELECT SubmittedUserId AS from_user_id, Id AS to_submission_id FROM seed_submissions WHERE SubmittedUserId IS NOT NULL", + """ + SELECT SubmittedUserId AS from_user_id, Id AS to_submission_id + FROM seed_submissions + WHERE SubmittedUserId IN (SELECT Id FROM seed_user_ids) + """, stage_dir / "edges_user_submitted.parquet", ) copy_parquet( con, """ - SELECT s.Id AS from_submission_id, cast(s.SourceKernelVersionId AS BIGINT) AS to_kernel_version_id + SELECT s.Id AS from_submission_id, + cast(s.SourceKernelVersionId AS BIGINT) AS to_kernel_version_id FROM seed_submissions s WHERE try_cast(s.SourceKernelVersionId AS BIGINT) IN (SELECT Id FROM seed_kernel_versions) """, @@ -467,12 +489,20 @@ def stage_edges(con: duckdb.DuckDBPyConnection, meta_dir: Path, stage_dir: Path) # Code layer. copy_parquet( con, - "SELECT AuthorUserId AS from_user_id, Id AS to_kernel_id FROM seed_kernels WHERE AuthorUserId IS NOT NULL", + """ + SELECT AuthorUserId AS from_user_id, Id AS to_kernel_id + FROM seed_kernels + WHERE AuthorUserId IN (SELECT Id FROM seed_user_ids) + """, stage_dir / "edges_user_authored_kernel.parquet", ) copy_parquet( con, - "SELECT ScriptId AS from_kernel_id, Id AS to_kernel_version_id FROM seed_kernel_versions WHERE ScriptId IS NOT NULL", + """ + SELECT ScriptId AS from_kernel_id, Id AS to_kernel_version_id + FROM seed_kernel_versions + WHERE ScriptId IS NOT NULL + """, stage_dir / "edges_kernel_has_version.parquet", ) copy_parquet( @@ -486,7 +516,11 @@ def stage_edges(con: duckdb.DuckDBPyConnection, meta_dir: Path, stage_dir: Path) ) copy_parquet( con, - "SELECT Id AS from_kernel_version_id, AuthorUserId AS to_user_id FROM seed_kernel_versions WHERE AuthorUserId IS NOT NULL", + """ + SELECT Id AS from_kernel_version_id, AuthorUserId AS to_user_id + FROM seed_kernel_versions + WHERE AuthorUserId IN (SELECT Id FROM seed_user_ids) + """, stage_dir / "edges_kernel_version_authored_by_user.parquet", ) copy_parquet( @@ -503,7 +537,8 @@ def stage_edges(con: duckdb.DuckDBPyConnection, meta_dir: Path, stage_dir: Path) copy_parquet( con, f""" - SELECT src.KernelVersionId AS from_kernel_version_id, src.SourceCompetitionId AS to_competition_id + SELECT src.KernelVersionId AS from_kernel_version_id, + src.SourceCompetitionId AS to_competition_id FROM {csv(meta_dir, "KernelVersionCompetitionSources.csv")} src JOIN seed_kernel_versions kv ON kv.Id = src.KernelVersionId JOIN seed_competitions c ON c.Id = src.SourceCompetitionId @@ -547,7 +582,7 @@ def stage_edges(con: duckdb.DuckDBPyConnection, meta_dir: Path, stage_dir: Path) SELECT d.Id AS from_dataset_id, d.OwnerOrganizationId AS to_organization_id FROM {csv(meta_dir, "Datasets.csv")} d JOIN seed_dataset_ids s ON d.Id = s.Id - WHERE d.OwnerOrganizationId IS NOT NULL + WHERE d.OwnerOrganizationId IN (SELECT Id FROM seed_organization_ids) """, stage_dir / "edges_dataset_owned_by_organization.parquet", ) @@ -556,7 +591,7 @@ def stage_edges(con: duckdb.DuckDBPyConnection, meta_dir: Path, stage_dir: Path) """ SELECT Id AS from_competition_id, OrganizationId AS to_organization_id FROM seed_competitions - WHERE OrganizationId IS NOT NULL + WHERE OrganizationId IN (SELECT Id FROM seed_organization_ids) """, stage_dir / "edges_competition_has_organization.parquet", ) @@ -601,28 +636,45 @@ def stage_edges(con: duckdb.DuckDBPyConnection, meta_dir: Path, stage_dir: Path) # Discussion. copy_parquet( con, - "SELECT Id AS from_competition_id, ForumId AS to_forum_id FROM seed_competitions WHERE ForumId IS NOT NULL", + """ + SELECT Id AS from_competition_id, ForumId AS to_forum_id + FROM seed_competitions + WHERE ForumId IS NOT NULL + """, stage_dir / "edges_competition_has_forum.parquet", ) copy_parquet( con, - "SELECT ForumId AS from_forum_id, Id AS to_forum_topic_id FROM seed_forum_topics WHERE ForumId IS NOT NULL", + """ + SELECT ForumId AS from_forum_id, Id AS to_forum_topic_id + FROM seed_forum_topics + WHERE ForumId IS NOT NULL + """, stage_dir / "edges_forum_has_topic.parquet", ) copy_parquet( con, - "SELECT ForumTopicId AS from_forum_topic_id, Id AS to_forum_message_id FROM seed_forum_messages WHERE ForumTopicId IS NOT NULL", + """ + SELECT ForumTopicId AS from_forum_topic_id, Id AS to_forum_message_id + FROM seed_forum_messages + WHERE ForumTopicId IS NOT NULL + """, stage_dir / "edges_forum_topic_has_message.parquet", ) copy_parquet( con, - "SELECT PostUserId AS from_user_id, Id AS to_forum_message_id FROM seed_forum_messages WHERE PostUserId IS NOT NULL", + """ + SELECT PostUserId AS from_user_id, Id AS to_forum_message_id + FROM seed_forum_messages + WHERE PostUserId IN (SELECT Id FROM seed_user_ids) + """, stage_dir / "edges_user_posted_message.parquet", ) copy_parquet( con, """ - SELECT Id AS from_forum_message_id, cast(ReplyToForumMessageId AS BIGINT) AS to_forum_message_id + SELECT Id AS from_forum_message_id, + cast(ReplyToForumMessageId AS BIGINT) AS to_forum_message_id FROM seed_forum_messages WHERE try_cast(ReplyToForumMessageId AS BIGINT) IN (SELECT Id FROM seed_forum_messages) """, diff --git a/scripts/stage_kernel_subset.py b/scripts/stage_kernel_subset.py index e938ef8..a119a47 100644 --- a/scripts/stage_kernel_subset.py +++ b/scripts/stage_kernel_subset.py @@ -1,4 +1,4 @@ -"""Stage a kernel-centered Meta Kaggle subset as node and edge CSVs.""" +"""Stage a kernel-centered Meta Kaggle subset as node and edge Parquet files.""" from __future__ import annotations @@ -94,7 +94,7 @@ def create_seed_tables(con: duckdb.DuckDBPyConnection, meta_dir: Path, kernel_li FROM {csv(meta_dir, "Datasets.csv")} d JOIN seed_dataset_ids s ON d.Id = s.Id ) - WHERE OrganizationId IS NOT NULL + WHERE OrganizationId IN (SELECT Id FROM {csv(meta_dir, "Organizations.csv")}) """ ) con.execute( @@ -116,7 +116,7 @@ def create_seed_tables(con: duckdb.DuckDBPyConnection, meta_dir: Path, kernel_li """ ) con.execute( - """ + f""" CREATE OR REPLACE TEMP TABLE seed_user_ids AS SELECT DISTINCT UserId AS Id FROM ( @@ -128,7 +128,7 @@ def create_seed_tables(con: duckdb.DuckDBPyConnection, meta_dir: Path, kernel_li UNION ALL SELECT PostUserId AS UserId FROM seed_forum_messages ) - WHERE UserId IS NOT NULL + WHERE UserId IN (SELECT Id FROM {csv(meta_dir, "Users.csv")}) """ ) @@ -140,7 +140,8 @@ def stage_nodes( con, """ SELECT Id, AuthorUserId, CurrentKernelVersionId, FirstKernelVersionId, ForumTopicId, - CreationDate, EvaluationDate, MadePublicDate, Medal, TotalViews, TotalComments, TotalVotes, CurrentUrlSlug + CreationDate, EvaluationDate, MadePublicDate, Medal, TotalViews, TotalComments, + TotalVotes, CurrentUrlSlug FROM seed_kernels """, stage_dir / "nodes_kernel.parquet", @@ -170,7 +171,8 @@ def stage_nodes( con, f""" SELECT d.Id AS Id, CreatorUserId, OwnerUserId, OwnerOrganizationId, CurrentDatasetVersionId, - ForumId, Type, CreationDate, LastActivityDate, TotalViews, TotalDownloads, TotalVotes, TotalKernels, Medal + ForumId, Type, CreationDate, LastActivityDate, TotalViews, TotalDownloads, + TotalVotes, TotalKernels, Medal FROM {csv(meta_dir, "Datasets.csv")} d JOIN seed_dataset_ids s ON d.Id = s.Id """, @@ -259,7 +261,7 @@ def stage_edges(con: duckdb.DuckDBPyConnection, meta_dir: Path, stage_dir: Path) """ SELECT AuthorUserId AS from_user_id, Id AS to_kernel_id FROM seed_kernels - WHERE AuthorUserId IS NOT NULL + WHERE AuthorUserId IN (SELECT Id FROM seed_user_ids) """, stage_dir / "edges_user_authored_kernel.parquet", ) @@ -295,7 +297,7 @@ def stage_edges(con: duckdb.DuckDBPyConnection, meta_dir: Path, stage_dir: Path) """ SELECT Id AS from_kernel_version_id, AuthorUserId AS to_user_id FROM seed_kernel_versions - WHERE AuthorUserId IS NOT NULL + WHERE AuthorUserId IN (SELECT Id FROM seed_user_ids) """, stage_dir / "edges_kernel_version_authored_by_user.parquet", ) @@ -356,7 +358,7 @@ def stage_edges(con: duckdb.DuckDBPyConnection, meta_dir: Path, stage_dir: Path) """ SELECT Id AS from_competition_id, OrganizationId AS to_organization_id FROM seed_competitions - WHERE OrganizationId IS NOT NULL + WHERE OrganizationId IN (SELECT Id FROM seed_organization_ids) """, stage_dir / "edges_competition_has_organization.parquet", ) @@ -366,7 +368,7 @@ def stage_edges(con: duckdb.DuckDBPyConnection, meta_dir: Path, stage_dir: Path) SELECT d.Id AS from_dataset_id, d.OwnerOrganizationId AS to_organization_id FROM {csv(meta_dir, "Datasets.csv")} d JOIN seed_dataset_ids s ON d.Id = s.Id - WHERE d.OwnerOrganizationId IS NOT NULL + WHERE d.OwnerOrganizationId IN (SELECT Id FROM seed_organization_ids) """, stage_dir / "edges_dataset_owned_by_organization.parquet", ) @@ -448,7 +450,7 @@ def stage_edges(con: duckdb.DuckDBPyConnection, meta_dir: Path, stage_dir: Path) """ SELECT PostUserId AS from_user_id, Id AS to_forum_message_id FROM seed_forum_messages - WHERE PostUserId IS NOT NULL + WHERE PostUserId IN (SELECT Id FROM seed_user_ids) """, stage_dir / "edges_user_posted_message.parquet", ) diff --git a/tests/csv_fixtures.py b/tests/csv_fixtures.py index 3ce70e6..a7f0f6a 100644 --- a/tests/csv_fixtures.py +++ b/tests/csv_fixtures.py @@ -16,3 +16,14 @@ def write_csv(directory: Path, name: str, rows: list[dict[str, Any]]) -> Path: writer.writeheader() writer.writerows(rows) return path + + +def append_csv_row(directory: Path, name: str, row: dict[str, Any]) -> Path: + """Append one row to an existing CSV fixture, keeping its header order.""" + path = directory / name + with path.open("r", newline="", encoding="utf-8") as handle: + fieldnames = next(csv_module.reader(handle)) + with path.open("a", newline="", encoding="utf-8") as handle: + writer = csv_module.DictWriter(handle, fieldnames=fieldnames) + writer.writerow(row) + return path diff --git a/tests/test_parse_imports.py b/tests/test_parse_imports.py index 4f8f0e3..206e256 100644 --- a/tests/test_parse_imports.py +++ b/tests/test_parse_imports.py @@ -143,3 +143,25 @@ def test_writes_library_nodes_and_import_edges( edges = pl.read_parquet(stage_dir / "edges_kernel_version_imports_library.parquet") assert set(edges["to_library_id"]) == {"os", "sys", "pandas"} assert set(edges["from_kernel_version_id"]) == {"1"} + + def test_no_code_files_writes_typed_empty_outputs( + self, tmp_path: Path, monkeypatch: pytest.MonkeyPatch + ) -> None: + stage_dir = tmp_path / "stage" + stage_dir.mkdir() + code_dir = tmp_path / "code" + code_dir.mkdir() + pl.DataFrame({"Id": [1]}).write_parquet(stage_dir / "nodes_kernel_version.parquet") + + monkeypatch.setattr( + "sys.argv", + ["parse_imports.py", "--code-dir", str(code_dir), "--stage-dir", str(stage_dir)], + ) + pi.main() + + libraries = pl.read_parquet(stage_dir / "nodes_library.parquet") + edges = pl.read_parquet(stage_dir / "edges_kernel_version_imports_library.parquet") + assert libraries.height == 0 + assert libraries.schema["Id"] == pl.Utf8 + assert edges.schema["from_kernel_version_id"] == pl.Utf8 + assert edges.schema["to_library_id"] == pl.Utf8 diff --git a/tests/test_stage_competition_subset.py b/tests/test_stage_competition_subset.py index bde6504..96fac1f 100644 --- a/tests/test_stage_competition_subset.py +++ b/tests/test_stage_competition_subset.py @@ -13,7 +13,7 @@ import duckdb import polars as pl import pytest -from csv_fixtures import write_csv +from csv_fixtures import append_csv_row, write_csv import stage_competition_subset as scs @@ -823,3 +823,107 @@ def test_competition_overview_rules_and_dataset_description_are_staged( assert row["Rules"][0] == "Standard rules apply.\nNo external data." assert row["DatasetDescription"][0] == "A tabular housing dataset." assert row["EvaluationAlgorithmDescription"][0] == "Area under the curve." + + +class TestDanglingEndpoints: + """Every staged edge must resolve to a staged node, even when the source + CSVs reference a user or organization that has no row of its own.""" + + def test_user_edges_skip_users_missing_from_users_csv( + self, meta_dir: Path, tmp_path: Path + ) -> None: + append_csv_row(meta_dir, "TeamMemberships.csv", {"Id": 2, "TeamId": 101, "UserId": 555}) + append_csv_row( + meta_dir, + "ForumMessages.csv", + { + "Id": 3999, + "ForumTopicId": 2001, + "PostUserId": 555, + "PostDate": "2020-03-01", + "ReplyToForumMessageId": "", + "Message": "ghost", + "RawMarkdown": "ghost", + "Medal": "", + "MedalAwardDate": "", + }, + ) + stage_dir = tmp_path / "stage" + _run_pipeline(meta_dir, stage_dir) + users = set(pl.read_parquet(stage_dir / "nodes_user.parquet")["Id"]) + assert 555 not in users + for name in ( + "edges_user_member_of_team.parquet", + "edges_user_led_team.parquet", + "edges_user_submitted.parquet", + "edges_user_authored_kernel.parquet", + "edges_user_posted_message.parquet", + "edges_user_member_of_organization.parquet", + ): + edges = pl.read_parquet(stage_dir / name) + assert set(edges["from_user_id"]).issubset(users), name + authored_by = pl.read_parquet(stage_dir / "edges_kernel_version_authored_by_user.parquet") + assert set(authored_by["to_user_id"]).issubset(users) + # The message itself stays staged; only its author edge is dropped. + messages = pl.read_parquet(stage_dir / "nodes_forum_message.parquet") + assert 3999 in set(messages["Id"]) + + def test_organization_edges_skip_organizations_missing_from_csv( + self, meta_dir: Path, tmp_path: Path + ) -> None: + append_csv_row( + meta_dir, + "Datasets.csv", + { + "Id": 402, + "CreatorUserId": 203, + "OwnerUserId": 203, + "OwnerOrganizationId": 777, + "CurrentDatasetVersionId": 503, + "ForumId": "", + "Type": 2, + "CreationDate": "2020-01-10", + "LastActivityDate": "2020-01-11", + "TotalViews": 0, + "TotalDownloads": 0, + "TotalVotes": 0, + "TotalKernels": 0, + "Medal": "", + }, + ) + append_csv_row( + meta_dir, + "DatasetVersions.csv", + { + "Id": 503, + "DatasetId": 402, + "CreatorUserId": 203, + "LicenseName": "CC0", + "CreationDate": "2020-01-10", + "VersionNumber": 1, + "Title": "Ghost Org Dataset", + "Slug": "ghost-org", + "Subtitle": "", + "Description": "", + "VersionNotes": "", + "TotalCompressedBytes": 1, + "TotalUncompressedBytes": 1, + }, + ) + append_csv_row( + meta_dir, + "KernelVersionDatasetSources.csv", + {"Id": 9, "KernelVersionId": 11, "SourceDatasetVersionId": 503}, + ) + stage_dir = tmp_path / "stage" + _run_pipeline(meta_dir, stage_dir) + organizations = set(pl.read_parquet(stage_dir / "nodes_organization.parquet")["Id"]) + assert 777 not in organizations + assert 402 in set(pl.read_parquet(stage_dir / "nodes_dataset.parquet")["Id"]) + for name in ( + "edges_dataset_owned_by_organization.parquet", + "edges_competition_has_organization.parquet", + "edges_user_member_of_organization.parquet", + ): + edges = pl.read_parquet(stage_dir / name) + assert set(edges["to_organization_id"]).issubset(organizations), name diff --git a/tests/test_stage_kernel_subset.py b/tests/test_stage_kernel_subset.py index 8b355ab..7c1da83 100644 --- a/tests/test_stage_kernel_subset.py +++ b/tests/test_stage_kernel_subset.py @@ -13,7 +13,7 @@ import duckdb import polars as pl import pytest -from csv_fixtures import write_csv +from csv_fixtures import append_csv_row, write_csv import stage_kernel_subset as sks @@ -678,3 +678,102 @@ def test_dataset_version_description_and_notes_are_staged( row = versions.filter(pl.col("Id") == 501) assert row["Description"][0] == 'Homes with "great" views.\nSee the notebook.' assert row["VersionNotes"][0] == "Initial release" + + +class TestDanglingEndpoints: + """Every staged edge must resolve to a staged node, even when the source + CSVs reference a user or organization that has no row of its own.""" + + def test_user_edges_skip_users_missing_from_users_csv( + self, meta_dir: Path, tmp_path: Path + ) -> None: + append_csv_row( + meta_dir, + "ForumMessages.csv", + { + "Id": 3999, + "ForumTopicId": 2001, + "PostUserId": 555, + "PostDate": "2021-03-01", + "ReplyToForumMessageId": "", + "Message": "ghost", + "RawMarkdown": "ghost", + "Medal": "", + "MedalAwardDate": "", + }, + ) + stage_dir = tmp_path / "stage" + _run_pipeline(meta_dir, stage_dir) + users = set(pl.read_parquet(stage_dir / "nodes_user.parquet")["Id"]) + assert 555 not in users + for name in ( + "edges_user_authored_kernel.parquet", + "edges_user_posted_message.parquet", + "edges_user_member_of_organization.parquet", + ): + edges = pl.read_parquet(stage_dir / name) + assert set(edges["from_user_id"]).issubset(users), name + authored_by = pl.read_parquet(stage_dir / "edges_kernel_version_authored_by_user.parquet") + assert set(authored_by["to_user_id"]).issubset(users) + messages = pl.read_parquet(stage_dir / "nodes_forum_message.parquet") + assert 3999 in set(messages["Id"]) + + def test_organization_edges_skip_organizations_missing_from_csv( + self, meta_dir: Path, tmp_path: Path + ) -> None: + append_csv_row( + meta_dir, + "Datasets.csv", + { + "Id": 52, + "CreatorUserId": 100, + "OwnerUserId": 100, + "OwnerOrganizationId": 777, + "CurrentDatasetVersionId": 503, + "ForumId": "", + "Type": 2, + "CreationDate": "2021-01-10", + "LastActivityDate": "2021-01-11", + "TotalViews": 0, + "TotalDownloads": 0, + "TotalVotes": 0, + "TotalKernels": 0, + "Medal": "", + }, + ) + append_csv_row( + meta_dir, + "DatasetVersions.csv", + { + "Id": 503, + "DatasetId": 52, + "CreatorUserId": 100, + "LicenseName": "CC0", + "CreationDate": "2021-01-10", + "VersionNumber": 1, + "Title": "Ghost Org Dataset", + "Slug": "ghost-org", + "Subtitle": "", + "Description": "", + "VersionNotes": "", + "TotalCompressedBytes": 1, + "TotalUncompressedBytes": 1, + }, + ) + append_csv_row( + meta_dir, + "KernelVersionDatasetSources.csv", + {"KernelVersionId": 11, "SourceDatasetVersionId": 503}, + ) + stage_dir = tmp_path / "stage" + _run_pipeline(meta_dir, stage_dir) + organizations = set(pl.read_parquet(stage_dir / "nodes_organization.parquet")["Id"]) + assert 777 not in organizations + assert 52 in set(pl.read_parquet(stage_dir / "nodes_dataset.parquet")["Id"]) + for name in ( + "edges_dataset_owned_by_organization.parquet", + "edges_competition_has_organization.parquet", + "edges_user_member_of_organization.parquet", + ): + edges = pl.read_parquet(stage_dir / name) + assert set(edges["to_organization_id"]).issubset(organizations), name From 26e59a242284747a4a56e67c5d92f2d017385c5a Mon Sep 17 00:00:00 2001 From: Hassan Abedi Date: Sat, 5 Sep 2026 22:25:08 +0200 Subject: [PATCH 7/9] Add support for Hugging Face dataset packaging --- .gitignore | 1 + AGENTS.md | 3 + Makefile | 17 ++ README.md | 5 + pyproject.toml | 1 + scripts/inspect_metadata.py | 4 +- scripts/package_hf_dataset.py | 384 ++++++++++++++++++++++++++++ scripts/parse_api_calls.py | 5 +- scripts/parse_imports.py | 24 +- scripts/stage_competition_subset.py | 10 +- scripts/stage_kernel_subset.py | 10 +- tests/test_package_hf_dataset.py | 127 +++++++++ tests/test_parse_imports.py | 13 + uv.lock | 106 ++++++++ 14 files changed, 691 insertions(+), 19 deletions(-) create mode 100644 scripts/package_hf_dataset.py create mode 100644 tests/test_package_hf_dataset.py diff --git a/.gitignore b/.gitignore index 76a5ea8..0322599 100644 --- a/.gitignore +++ b/.gitignore @@ -94,3 +94,4 @@ bin/issundb-mcp bin/issundb-rest bin/issundb-cli *.cache +databases/hf-dataset/ diff --git a/AGENTS.md b/AGENTS.md index 42de77a..6a6d254 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -50,6 +50,7 @@ construction, reproducible builds, scoped subset testing, and idiomatic Python. - `scripts/load_competition_kg.py` loads the Kaggle knowledge graph. - `scripts/import_to_issundb.py` loads the kernel graph. - `scripts/issundb_load.py` holds the loader logic shared by both load scripts. +- `scripts/package_hf_dataset.py` packages the staged competition graph as a Hugging Face dataset with a card and manifest. - `databases/` includes staged files and graph databases. - `bin/issundb-cli` includes the database command line tool binary. - `bin/issundb-mcp` includes the MCP server binary. @@ -65,6 +66,8 @@ construction, reproducible builds, scoped subset testing, and idiomatic Python. - `make graph-kernel` builds the kernel knowledge graph end to end. - `make kernel-cli` opens the kernel knowledge graph in the IssunDB CLI. - `make kernel-mcp` runs the IssunDB MCP server for the kernel knowledge graph. +- `make hf-package HF_SNAPSHOT=YYYY-MM-DD` packages the staged competition graph Parquet files, a dataset card, and a manifest into `databases/hf-dataset`. +- `make hf-upload` pushes the packaged dataset to the Hugging Face Hub and tags the release. - `make help` lists all targets. ## Pipeline Constraints diff --git a/Makefile b/Makefile index cd244ef..0625027 100644 --- a/Makefile +++ b/Makefile @@ -19,6 +19,12 @@ MAP_SIZE_GB ?= 12 # Kernel knowledge graph build settings KERNEL_DB ?= databases/kernel-kg +# Hugging Face dataset release settings +HF_OUTPUT ?= databases/hf-dataset +HF_REPO_ID ?= habedi/kaggle-knowledge-graph +HF_SNAPSHOT ?= +HF_VERSION ?= $(HF_SNAPSHOT) + # Directories and files to clean CACHE_DIRS = .mypy_cache .pytest_cache .ruff_cache COVERAGE = .coverage htmlcov coverage.xml @@ -162,6 +168,17 @@ comp-cli: ## Open the Kaggle knowledge graph in the IssunDB CLI comp-mcp: ## Run the IssunDB MCP server for the Kaggle knowledge graph $(ISSUNDB_MCP) --db-path $(COMP_DB) --map-size-gb $(MAP_SIZE_GB) +.PHONY: hf-package +hf-package: ## Package the staged competition graph as a Hugging Face dataset (needs HF_SNAPSHOT=YYYY-MM-DD) + @test -n "$(HF_SNAPSHOT)" || (echo "set HF_SNAPSHOT to the Meta Kaggle export date, e.g. make hf-package HF_SNAPSHOT=2026-08-01" && exit 1) + .venv/bin/python scripts/package_hf_dataset.py --stage-dir "$(COMP_STAGE_DIR)" --output "$(HF_OUTPUT)" --repo-id "$(HF_REPO_ID)" --snapshot "$(HF_SNAPSHOT)" --version "$(HF_VERSION)" + +.PHONY: hf-upload +hf-upload: ## Upload the packaged dataset to the Hugging Face Hub (needs `hf auth login` and HF_VERSION) + @test -n "$(HF_VERSION)" || (echo "set HF_VERSION (or HF_SNAPSHOT) to tag the release" && exit 1) + hf upload "$(HF_REPO_ID)" "$(HF_OUTPUT)" . --repo-type dataset --commit-message "Release $(HF_VERSION)" + hf repo tag create "$(HF_REPO_ID)" "$(HF_VERSION)" --repo-type dataset + .PHONY: neo4j-up neo4j-up: ## Start Neo4j with stage/ mounted as /import docker compose -f $(NEO4J_COMPOSE) up -d diff --git a/README.md b/README.md index 92f8ad0..ece4ca8 100644 --- a/README.md +++ b/README.md @@ -37,6 +37,11 @@ Build the Kaggle knowledge graph and launch the CLI or MCP server: - `make graph-kernel` builds the kernel-centered knowledge graph from the Meta Kaggle dataset (needs `META_KAGGLE_CODE_DIR` for import and API call parsing). - `make kernel-cli` opens the kernel knowledge graph in the IssunDB CLI. - `make kernel-mcp` runs the IssunDB MCP server for the kernel knowledge graph. + +#### Publish the Graph as a Dataset + +- `make hf-package HF_SNAPSHOT=YYYY-MM-DD` packages the staged competition graph as a Hugging Face dataset in `databases/hf-dataset`, with the Parquet files under `data/`, a dataset card, and a manifest of row counts and checksums. +- `make hf-upload HF_REPO_ID=/` uploads that directory to the Hugging Face Hub and tags it with the release version (log in first with `hf auth login`). - `make help` shows all available Makefile targets. #### MCP Server Configuration diff --git a/pyproject.toml b/pyproject.toml index 2ca3057..8235c7e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,6 +5,7 @@ description = "The Python environment for the `kaggle-knowledge-graph` project" requires-python = ">=3.10,<4.0" dependencies = [ "duckdb>=1.5.4", + "huggingface-hub>=1.30.0", "kaggle>=1.7.4.5", "polars>=1.42.0", "python-dotenv>=1.1.0", diff --git a/scripts/inspect_metadata.py b/scripts/inspect_metadata.py index 9ee9ad0..203a952 100644 --- a/scripts/inspect_metadata.py +++ b/scripts/inspect_metadata.py @@ -10,13 +10,13 @@ DEFAULT_META_DIR = Path( os.environ.get("META_KAGGLE_DIR", str(Path.home() / "downloads" / "KW" / "meta-kaggle")) -) +).expanduser() DEFAULT_OUTPUT = Path("databases/metadata_inventory.md") def parse_args() -> argparse.Namespace: parser = argparse.ArgumentParser(description=__doc__) - parser.add_argument("--meta-dir", type=Path, default=DEFAULT_META_DIR) + parser.add_argument("--meta-dir", type=lambda v: Path(v).expanduser(), default=DEFAULT_META_DIR) parser.add_argument("--output", type=Path, default=DEFAULT_OUTPUT) return parser.parse_args() diff --git a/scripts/package_hf_dataset.py b/scripts/package_hf_dataset.py new file mode 100644 index 0000000..c170dcb --- /dev/null +++ b/scripts/package_hf_dataset.py @@ -0,0 +1,384 @@ +"""Package the staged competition graph as a Hugging Face dataset release. + +The release is a directory holding every staged node and edge Parquet file under +`data/`, a `README.md` dataset card with the Hugging Face front matter, and a +`manifest.json` with row counts, byte sizes, and SHA-256 digests. The card +declares one viewer configuration per table, so each file browses on Hugging Face. + +Nothing is uploaded here. Push the directory with the Hugging Face CLI once you +have reviewed it (see `make hf-upload`). +""" + +from __future__ import annotations + +import argparse +import hashlib +import json +import shutil +import subprocess +from dataclasses import asdict, dataclass, field +from datetime import date +from pathlib import Path + +import polars as pl + +from load_competition_kg import EDGE_FILES, NODE_FILES +from parse_imports import expanded_path + +DEFAULT_STAGE_DIR = Path("databases/staging_data") +DEFAULT_OUTPUT = Path("databases/hf-dataset") +DEFAULT_REPO_ID = "habedi/kaggle-knowledge-graph" +SOURCE_REPO_URL = "https://github.com/IssunDB/kaggle-knowledge-graph" +META_KAGGLE_URL = "https://www.kaggle.com/datasets/kaggle/meta-kaggle" +META_KAGGLE_CODE_URL = "https://www.kaggle.com/datasets/kaggle/meta-kaggle-code" + + +@dataclass +class TableInfo: + filename: str + kind: str + rows: int + bytes: int + sha256: str + columns: list[tuple[str, str]] + label: str | None = None + src: str | None = None + dst: str | None = None + etype: str | None = None + + +@dataclass +class ReleaseMeta: + repo_id: str + version: str + snapshot: str + source_commit: str + packaged_on: str = field(default_factory=lambda: date.today().isoformat()) + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--stage-dir", type=expanded_path, default=DEFAULT_STAGE_DIR) + parser.add_argument("--output", type=expanded_path, default=DEFAULT_OUTPUT) + parser.add_argument("--repo-id", default=DEFAULT_REPO_ID) + parser.add_argument( + "--snapshot", + required=True, + help="Date of the Meta Kaggle export the graph was staged from (YYYY-MM-DD).", + ) + parser.add_argument( + "--version", + default=None, + help="Release version tag; defaults to the snapshot date.", + ) + parser.add_argument( + "--source-commit", + default=None, + help="Git commit of this repository that produced the staging; defaults to HEAD.", + ) + return parser.parse_args() + + +def git_head() -> str: + try: + return subprocess.run( + ["git", "rev-parse", "--short", "HEAD"], capture_output=True, text=True, check=True + ).stdout.strip() + except (OSError, subprocess.CalledProcessError): + return "unknown" + + +def _describe(path: Path) -> tuple[int, list[tuple[str, str]], str]: + frame = pl.scan_parquet(path) + rows = int(frame.select(pl.len()).collect().item()) + columns = [(name, str(dtype)) for name, dtype in frame.collect_schema().items()] + digest = hashlib.sha256() + with path.open("rb") as handle: + for chunk in iter(lambda: handle.read(1 << 20), b""): + digest.update(chunk) + return rows, columns, digest.hexdigest() + + +def collect_tables( + stage_dir: Path, + node_files: list[tuple[str, str]], + edge_files: list[tuple[str, str, str, str]], +) -> list[TableInfo]: + """Describe every staged table, nodes first, failing if any file is absent.""" + missing = [ + filename + for filename, *_ in [*node_files, *edge_files] + if not (stage_dir / filename).exists() + ] + if missing: + raise SystemExit("missing staged files (run `make graph-kc` first): " + ", ".join(missing)) + + tables: list[TableInfo] = [] + for filename, label in node_files: + path = stage_dir / filename + rows, columns, sha256 = _describe(path) + tables.append( + TableInfo(filename, "node", rows, path.stat().st_size, sha256, columns, label=label) + ) + for filename, src, dst, etype in edge_files: + path = stage_dir / filename + rows, columns, sha256 = _describe(path) + tables.append( + TableInfo( + filename, + "edge", + rows, + path.stat().st_size, + sha256, + columns, + src=src, + dst=dst, + etype=etype, + ) + ) + return tables + + +def _config_name(filename: str) -> str: + return Path(filename).stem + + +def _size_category(total_rows: int) -> str: + bounds = [ + (1_000, "n<1K"), + (10_000, "1K str: + total_rows = sum(t.rows for t in tables) + lines = [ + "---", + "license: cc-by-nc-sa-4.0", + "pretty_name: Kaggle Knowledge Graph", + "language:", + "- en", + "tags:", + "- kaggle", + "- knowledge-graph", + "- graph", + "- competitions", + "- notebooks", + "- code-analysis", + "size_categories:", + f"- {_size_category(total_rows)}", + "configs:", + ] + for table in tables: + lines += [ + f"- config_name: {_config_name(table.filename)}", + " data_files:", + " - split: train", + f" path: data/{table.filename}", + ] + lines.append("---") + return "\n".join(lines) + + +def _columns_cell(table: TableInfo) -> str: + return ", ".join(f"`{name}`" for name, _ in table.columns) + + +def render_card(tables: list[TableInfo], meta: ReleaseMeta) -> str: + """Render the dataset card as Markdown with Hugging Face front matter.""" + nodes = [t for t in tables if t.kind == "node"] + edges = [t for t in tables if t.kind == "edge"] + total_nodes = sum(t.rows for t in nodes) + total_edges = sum(t.rows for t in edges) + total_bytes = sum(t.bytes for t in tables) + + body = f""" +# Kaggle Knowledge Graph + +A competition-centered knowledge graph built from Kaggle's public +[Meta Kaggle]({META_KAGGLE_URL}) and [Meta Kaggle Code]({META_KAGGLE_CODE_URL}) +datasets. It links competitions, teams, submissions, users, notebooks, notebook +versions, datasets, discussion forums, tags, organizations, and the libraries +and API calls used in notebook code. + +The graph is shipped as plain Parquet files, one per node label and one per +relationship type, so it can be loaded with DuckDB, Polars, pandas, Spark, or +any graph database that bulk-imports tabular data. Every node file has an `Id` +column, and every edge file has two columns holding the source and destination +`Id` values. + +## Release + +| Field | Value | +| --- | --- | +| Version | `{meta.version}` | +| Meta Kaggle snapshot | {meta.snapshot} | +| Packaged on | {meta.packaged_on} | +| Build code | [{SOURCE_REPO_URL}]({SOURCE_REPO_URL}) at commit `{meta.source_commit}` | +| Nodes | {total_nodes:,} | +| Edges | {total_edges:,} | +| Size | {total_bytes / (1 << 20):,.0f} MiB | + +The `manifest.json` file beside this card lists the row count, byte size, and +SHA-256 digest of every file in this release. + +## Scope + +The graph covers competitions enabled on or after 2020-01-01, excluding +Community (in-class) events, and everything the build could attach to them: + +- Ranked or medal-winning teams, their members, and their leaders. +- Each team's selected submissions and its public and private leaderboard + submissions. +- The 50 most voted notebooks per competition, with the notebook versions that + were sourced from that competition, their authors, and their fork lineage. +- Datasets and dataset versions used by those notebook versions. +- The competition discussion forums with every topic and message, including + team write-up topics. Forum message text is included as the original HTML in + `Message` and as Markdown in `RawMarkdown`. +- The tag taxonomy plus the host and dataset-owner organizations. +- Library imports parsed from the notebook source, and Python API calls parsed + with Tree-sitter and resolved to the imported module (for example + `numpy.mean`). + +Every edge file references only nodes that are present in this release. + +## Tables + +### Nodes + +| Label | File | Rows | Columns | +| --- | --- | ---: | --- | +""" + for table in nodes: + body += ( + f"| `{table.label}` | `{table.filename}` | {table.rows} | {_columns_cell(table)} |\n" + ) + + body += """ +### Edges + +| Type | From | To | File | Rows | +| --- | --- | --- | --- | ---: | +""" + for table in edges: + body += ( + f"| `{table.etype}` | `{table.src}` | `{table.dst}` | `{table.filename}` " + f"| {table.rows} |\n" + ) + + body += f""" +## Usage + +Query the files directly with DuckDB: + +```python +import duckdb + +con = duckdb.connect() +con.execute(\"\"\" + SELECT c.Title, count(*) AS teams + FROM 'data/edges_team_competed_in_competition.parquet' e + JOIN 'data/nodes_competition.parquet' c ON c.Id = e.to_competition_id + GROUP BY c.Title + ORDER BY teams DESC + LIMIT 10 +\"\"\").fetchall() +``` + +Or with the `datasets` library, one configuration per table: + +```python +from datasets import load_dataset + +competitions = load_dataset("{meta.repo_id}", "nodes_competition", split="train") +``` + +To query the graph with Cypher, load the files into +[IssunDB](https://github.com/habedi/issun-db) using the build repository's +`make comp-load` target, which also starts an MCP server for AI assistants. + +## Building It Yourself + +The build code lives at [{SOURCE_REPO_URL}]({SOURCE_REPO_URL}). It stages the +Meta Kaggle CSVs with DuckDB, parses imports with Polars, parses Python API +calls with Tree-sitter, and validates that no staged edge points to a missing +node. The seed rules are fixed, so the same Meta Kaggle export reproduces the +same graph. + +## Limitations + +- Only competitions enabled since 2020 are included, and only the 50 most voted + notebooks per competition. +- The graph is a snapshot of the Meta Kaggle export dated {meta.snapshot}. + Later activity on Kaggle is absent. +- Library and API call tables cover only notebook versions whose source is + present in the Meta Kaggle Code export. +- Forum messages are stored as Kaggle's raw HTML and Markdown and are not + cleaned. + +## Licensing and Attribution + +Meta Kaggle and Meta Kaggle Code are published by Kaggle under the +[CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) license, +and this derived dataset carries the same license. Use is limited to +non-commercial purposes, and derivatives must be shared under the same terms. +Please credit Kaggle as the source of the underlying data. + +The build code is separately licensed under the MIT License. + +## Personal Data + +The graph contains public Kaggle profile fields (user names, display names, +countries, and performance tiers) and public forum posts, exactly as published +in Meta Kaggle. Nothing is added beyond what Kaggle already publishes. If you +find content that should not be here, open an issue on the build repository. +""" + return _front_matter(tables) + "\n" + body + + +def write_release( + tables: list[TableInfo], meta: ReleaseMeta, stage_dir: Path, output: Path +) -> None: + data_dir = output / "data" + data_dir.mkdir(parents=True, exist_ok=True) + for table in tables: + shutil.copy2(stage_dir / table.filename, data_dir / table.filename) + (output / "README.md").write_text(render_card(tables, meta), encoding="utf-8") + manifest = { + "repo_id": meta.repo_id, + "version": meta.version, + "meta_kaggle_snapshot": meta.snapshot, + "packaged_on": meta.packaged_on, + "source_commit": meta.source_commit, + "license": "CC-BY-NC-SA-4.0", + "tables": [asdict(table) for table in tables], + } + (output / "manifest.json").write_text(json.dumps(manifest, indent=2) + "\n", encoding="utf-8") + + +def main() -> None: + args = parse_args() + meta = ReleaseMeta( + repo_id=args.repo_id, + version=args.version or args.snapshot, + snapshot=args.snapshot, + source_commit=args.source_commit or git_head(), + ) + tables = collect_tables(args.stage_dir, NODE_FILES, EDGE_FILES) + write_release(tables, meta, args.stage_dir, args.output) + print( + f"Packaged {len(tables)} tables ({sum(t.rows for t in tables):,} rows) into {args.output}" + ) + + +if __name__ == "__main__": + main() diff --git a/scripts/parse_api_calls.py b/scripts/parse_api_calls.py index b4fa9b0..f9146ee 100644 --- a/scripts/parse_api_calls.py +++ b/scripts/parse_api_calls.py @@ -33,6 +33,7 @@ DEFAULT_STAGE_DIR, candidate_paths, code_text, + expanded_path, load_kernel_version_ids, ) @@ -43,8 +44,8 @@ def parse_args() -> argparse.Namespace: parser = argparse.ArgumentParser(description=__doc__) - parser.add_argument("--code-dir", type=Path, default=DEFAULT_CODE_DIR) - parser.add_argument("--stage-dir", type=Path, default=DEFAULT_STAGE_DIR) + parser.add_argument("--code-dir", type=expanded_path, default=DEFAULT_CODE_DIR) + parser.add_argument("--stage-dir", type=expanded_path, default=DEFAULT_STAGE_DIR) return parser.parse_args() diff --git a/scripts/parse_imports.py b/scripts/parse_imports.py index 1565e59..02b1317 100644 --- a/scripts/parse_imports.py +++ b/scripts/parse_imports.py @@ -11,12 +11,22 @@ import polars as pl -DEFAULT_CODE_DIR = Path( - os.environ.get( - "META_KAGGLE_CODE_DIR", str(Path.home() / "Downloads" / "KW" / "meta-kaggle-code") - ) + +def expanded_path(value: str) -> Path: + """Turn a command line or environment path into a `Path` with `~` expanded.""" + return Path(value).expanduser() + + +def env_path(name: str, default: Path) -> Path: + """Read a directory from the environment, expanding `~`, or fall back to `default`.""" + value = os.environ.get(name) + return expanded_path(value) if value else default.expanduser() + + +DEFAULT_CODE_DIR = env_path( + "META_KAGGLE_CODE_DIR", Path.home() / "Downloads" / "KW" / "meta-kaggle-code" ) -DEFAULT_STAGE_DIR = Path(os.environ.get("STAGE_DIR", "stage")) +DEFAULT_STAGE_DIR = env_path("STAGE_DIR", Path("stage")) PY_IMPORT_RE = re.compile(r"^\s*import\s+(.+)$", re.MULTILINE) PY_FROM_RE = re.compile(r"^\s*from\s+([A-Za-z_][\w.]*)\s+import\s+", re.MULTILINE) @@ -26,8 +36,8 @@ def parse_args() -> argparse.Namespace: parser = argparse.ArgumentParser(description=__doc__) - parser.add_argument("--code-dir", type=Path, default=DEFAULT_CODE_DIR) - parser.add_argument("--stage-dir", type=Path, default=DEFAULT_STAGE_DIR) + parser.add_argument("--code-dir", type=expanded_path, default=DEFAULT_CODE_DIR) + parser.add_argument("--stage-dir", type=expanded_path, default=DEFAULT_STAGE_DIR) return parser.parse_args() diff --git a/scripts/stage_competition_subset.py b/scripts/stage_competition_subset.py index 0bb69ea..fe07889 100644 --- a/scripts/stage_competition_subset.py +++ b/scripts/stage_competition_subset.py @@ -27,8 +27,8 @@ DEFAULT_META_DIR = Path( os.environ.get("META_KAGGLE_DIR", str(Path.home() / "downloads" / "KW" / "meta-kaggle")) -) -DEFAULT_STAGE_DIR = Path(os.environ.get("STAGE_DIR", "databases/staging_data")) +).expanduser() +DEFAULT_STAGE_DIR = Path(os.environ.get("STAGE_DIR", "databases/staging_data")).expanduser() # Competitions enabled on or after this instant are in scope. ENABLED_SINCE = "2020-01-01" @@ -38,8 +38,10 @@ def parse_args() -> argparse.Namespace: parser = argparse.ArgumentParser(description=__doc__) - parser.add_argument("--meta-dir", type=Path, default=DEFAULT_META_DIR) - parser.add_argument("--stage-dir", type=Path, default=DEFAULT_STAGE_DIR) + parser.add_argument("--meta-dir", type=lambda v: Path(v).expanduser(), default=DEFAULT_META_DIR) + parser.add_argument( + "--stage-dir", type=lambda v: Path(v).expanduser(), default=DEFAULT_STAGE_DIR + ) parser.add_argument("--kernels-per-competition", type=int, default=KERNELS_PER_COMPETITION) parser.add_argument("--include-message-text", action="store_true") return parser.parse_args() diff --git a/scripts/stage_kernel_subset.py b/scripts/stage_kernel_subset.py index a119a47..75904d7 100644 --- a/scripts/stage_kernel_subset.py +++ b/scripts/stage_kernel_subset.py @@ -10,14 +10,16 @@ DEFAULT_META_DIR = Path( os.environ.get("META_KAGGLE_DIR", str(Path.home() / "downloads" / "KW" / "meta-kaggle")) -) -DEFAULT_STAGE_DIR = Path(os.environ.get("STAGE_DIR", "stage")) +).expanduser() +DEFAULT_STAGE_DIR = Path(os.environ.get("STAGE_DIR", "stage")).expanduser() def parse_args() -> argparse.Namespace: parser = argparse.ArgumentParser(description=__doc__) - parser.add_argument("--meta-dir", type=Path, default=DEFAULT_META_DIR) - parser.add_argument("--stage-dir", type=Path, default=DEFAULT_STAGE_DIR) + parser.add_argument("--meta-dir", type=lambda v: Path(v).expanduser(), default=DEFAULT_META_DIR) + parser.add_argument( + "--stage-dir", type=lambda v: Path(v).expanduser(), default=DEFAULT_STAGE_DIR + ) parser.add_argument("--kernel-limit", type=int, default=10_000) parser.add_argument("--include-message-text", action="store_true") return parser.parse_args() diff --git a/tests/test_package_hf_dataset.py b/tests/test_package_hf_dataset.py new file mode 100644 index 0000000..afb2e6d --- /dev/null +++ b/tests/test_package_hf_dataset.py @@ -0,0 +1,127 @@ +"""Tests for scripts/package_hf_dataset.py.""" + +from __future__ import annotations + +import hashlib +import json +from pathlib import Path + +import polars as pl +import pytest + +import package_hf_dataset as phd + +NODE_FILES = [("nodes_person.parquet", "Person"), ("nodes_city.parquet", "City")] +EDGE_FILES = [("edges_person_lives_in_city.parquet", "Person", "City", "LIVES_IN")] + + +@pytest.fixture +def stage_dir(tmp_path: Path) -> Path: + directory = tmp_path / "stage" + directory.mkdir() + pl.DataFrame({"Id": [1, 2], "Name": ["alice", "bob"]}).write_parquet( + directory / "nodes_person.parquet" + ) + pl.DataFrame({"Id": [10], "Name": ["Oslo"]}).write_parquet(directory / "nodes_city.parquet") + pl.DataFrame({"from_person_id": [1, 2], "to_city_id": [10, 10]}).write_parquet( + directory / "edges_person_lives_in_city.parquet" + ) + return directory + + +def _meta() -> phd.ReleaseMeta: + return phd.ReleaseMeta( + repo_id="someone/example-graph", + version="2026-08", + snapshot="2026-08-01", + source_commit="abc1234", + ) + + +class TestCollectTables: + def test_reports_rows_columns_and_kind(self, stage_dir: Path) -> None: + tables = phd.collect_tables(stage_dir, NODE_FILES, EDGE_FILES) + by_name = {t.filename: t for t in tables} + person = by_name["nodes_person.parquet"] + assert person.kind == "node" + assert person.label == "Person" + assert person.rows == 2 + assert [name for name, _ in person.columns] == ["Id", "Name"] + edge = by_name["edges_person_lives_in_city.parquet"] + assert edge.kind == "edge" + assert edge.rows == 2 + assert (edge.src, edge.dst, edge.etype) == ("Person", "City", "LIVES_IN") + + def test_sha256_matches_file_bytes(self, stage_dir: Path) -> None: + tables = phd.collect_tables(stage_dir, NODE_FILES, EDGE_FILES) + person = next(t for t in tables if t.filename == "nodes_person.parquet") + expected = hashlib.sha256((stage_dir / "nodes_person.parquet").read_bytes()).hexdigest() + assert person.sha256 == expected + + def test_missing_file_raises(self, stage_dir: Path) -> None: + (stage_dir / "nodes_city.parquet").unlink() + with pytest.raises(SystemExit, match=r"nodes_city\.parquet"): + phd.collect_tables(stage_dir, NODE_FILES, EDGE_FILES) + + +class TestRenderCard: + def test_front_matter_declares_license_and_one_config_per_table(self, stage_dir: Path) -> None: + tables = phd.collect_tables(stage_dir, NODE_FILES, EDGE_FILES) + card = phd.render_card(tables, _meta()) + front_matter = card.split("---")[1] + assert "license: cc-by-nc-sa-4.0" in front_matter + assert front_matter.count("- config_name:") == 3 + assert "path: data/nodes_person.parquet" in front_matter + assert "path: data/edges_person_lives_in_city.parquet" in front_matter + + def test_body_lists_tables_with_row_counts_and_columns(self, stage_dir: Path) -> None: + tables = phd.collect_tables(stage_dir, NODE_FILES, EDGE_FILES) + card = phd.render_card(tables, _meta()) + assert "| `Person` | `nodes_person.parquet` | 2 |" in card + assert "`LIVES_IN`" in card + assert "`Id`" in card and "`Name`" in card + assert "2026-08-01" in card + assert "abc1234" in card + + def test_card_uses_no_em_dashes(self, stage_dir: Path) -> None: + tables = phd.collect_tables(stage_dir, NODE_FILES, EDGE_FILES) + assert "—" not in phd.render_card(tables, _meta()) + + +class TestMain: + def test_writes_card_manifest_and_copies_parquet( + self, stage_dir: Path, tmp_path: Path, monkeypatch: pytest.MonkeyPatch + ) -> None: + output = tmp_path / "release" + monkeypatch.setattr(phd, "NODE_FILES", NODE_FILES) + monkeypatch.setattr(phd, "EDGE_FILES", EDGE_FILES) + monkeypatch.setattr( + "sys.argv", + [ + "package_hf_dataset.py", + "--stage-dir", + str(stage_dir), + "--output", + str(output), + "--repo-id", + "someone/example-graph", + "--snapshot", + "2026-08-01", + "--version", + "2026-08", + "--source-commit", + "abc1234", + ], + ) + phd.main() + + assert (output / "README.md").exists() + for filename, *_ in [*NODE_FILES, *EDGE_FILES]: + assert (output / "data" / filename).read_bytes() == (stage_dir / filename).read_bytes() + manifest = json.loads((output / "manifest.json").read_text(encoding="utf-8")) + assert manifest["version"] == "2026-08" + assert manifest["meta_kaggle_snapshot"] == "2026-08-01" + assert manifest["source_commit"] == "abc1234" + rows = {t["filename"]: t["rows"] for t in manifest["tables"]} + assert rows["nodes_person.parquet"] == 2 + assert rows["edges_person_lives_in_city.parquet"] == 2 diff --git a/tests/test_parse_imports.py b/tests/test_parse_imports.py index 206e256..5b1a295 100644 --- a/tests/test_parse_imports.py +++ b/tests/test_parse_imports.py @@ -165,3 +165,16 @@ def test_no_code_files_writes_typed_empty_outputs( assert libraries.schema["Id"] == pl.Utf8 assert edges.schema["from_kernel_version_id"] == pl.Utf8 assert edges.schema["to_library_id"] == pl.Utf8 + + +class TestEnvPath: + def test_expands_tilde_from_environment(self, monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.setenv("SOME_DIR", "~/data/code") + assert pi.env_path("SOME_DIR", Path("/unused")) == Path.home() / "data" / "code" + + def test_falls_back_to_default_when_unset(self, monkeypatch: pytest.MonkeyPatch) -> None: + monkeypatch.delenv("SOME_DIR", raising=False) + assert pi.env_path("SOME_DIR", Path("~/fallback")) == Path.home() / "fallback" + + def test_expanded_path_type_for_cli_arguments(self) -> None: + assert pi.expanded_path("~/x") == Path.home() / "x" diff --git a/uv.lock b/uv.lock index 50e7b8a..ff03a44 100644 --- a/uv.lock +++ b/uv.lock @@ -7,6 +7,20 @@ resolution-markers = [ "python_full_version < '3.11'", ] +[[package]] +name = "anyio" +version = "4.15.1" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "exceptiongroup", marker = "python_full_version < '3.11'" }, + { name = "idna" }, + { name = "typing-extensions", marker = "python_full_version < '3.15'" }, +] +sdist = { url = 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[![Tests](https://img.shields.io/github/actions/workflow/status/IssunDB/kaggle-knowledge-graph/tests.yml?label=tests&style=flat&labelColor=333333&logo=github&logoColor=white)](https://github.com/IssunDB/kaggle-knowledge-graph/actions/workflows/tests.yml) [![Code Coverage](https://img.shields.io/codecov/c/github/IssunDB/kaggle-knowledge-graph?style=flat&label=coverage&labelColor=333333&logo=codecov&logoColor=white)](https://codecov.io/gh/IssunDB/kaggle-knowledge-graph) @@ -8,43 +8,54 @@ --- This repository contains code for building a knowledge graph from the [Meta Kaggle](https://www.kaggle.com/datasets/kaggle/meta-kaggle) dataset -(and loading it into [IssunDB](https://github.com/IssunDB/issun-db) which provides CLI and MCP interfaces for querying the data). +and loading it into [IssunDB](https://github.com/IssunDB/issun-db), which provides CLI and MCP interfaces for querying the data. -### Quickstart +## Quickstart -#### Data +### Data -##### 1. Download Dataset +#### 1. Download Dataset ```bash -curl -L -o /path/to/meta-kaggle.zip\ -https://www.kaggle.com/api/v1/datasets/download/kaggle/meta-kaggle +curl -L -o /path/to/meta-kaggle.zip \ + https://www.kaggle.com/api/v1/datasets/download/kaggle/meta-kaggle ``` -##### 2. Configure Environment Variables +#### 2. Extract Dataset + +```bash +unzip /path/to/meta-kaggle.zip -d /path/to/meta-kaggle +``` + +#### 3. Configure Environment Variables ```bash export META_KAGGLE_DIR="/path/to/meta-kaggle" +export META_KAGGLE_CODE_DIR="/path/to/meta-kaggle-code" ``` -#### Build and Launch +### Build and Launch Build the Kaggle knowledge graph and launch the CLI or MCP server: -- `make graph-kc` builds the competition-centered knowledge graph from the Meta Kaggle dataset (needs `META_KAGGLE_CODE_DIR` for import and API call parsing). +- `make graph-kc` builds the competition-centered knowledge graph from the Meta Kaggle dataset (needs `META_KAGGLE_CODE_DIR` for import and API call + parsing). - `make comp-cli` opens the competition knowledge graph in the IssunDB CLI. - `make comp-mcp` runs the IssunDB MCP server for the competition knowledge graph. -- `make graph-kernel` builds the kernel-centered knowledge graph from the Meta Kaggle dataset (needs `META_KAGGLE_CODE_DIR` for import and API call parsing). +- `make graph-kernel` builds the kernel-centered knowledge graph from the Meta Kaggle dataset (needs `META_KAGGLE_CODE_DIR` for import and API call + parsing). - `make kernel-cli` opens the kernel knowledge graph in the IssunDB CLI. - `make kernel-mcp` runs the IssunDB MCP server for the kernel knowledge graph. +- `make help` shows all available Makefile targets. -#### Publish the Graph as a Dataset +### Publish the Graph as a Dataset -- `make hf-package HF_SNAPSHOT=YYYY-MM-DD` packages the staged competition graph as a Hugging Face dataset in `databases/hf-dataset`, with the Parquet files under `data/`, a dataset card, and a manifest of row counts and checksums. -- `make hf-upload HF_REPO_ID=/` uploads that directory to the Hugging Face Hub and tags it with the release version (log in first with `hf auth login`). -- `make help` shows all available Makefile targets. +- `make hf-package HF_SNAPSHOT=YYYY-MM-DD` packages the staged competition graph as a Hugging Face dataset in `databases/hf-dataset`, with the Parquet + files under `data/`, a dataset card, and a manifest of row counts and checksums. +- `make hf-upload HF_REPO_ID=/ HF_VERSION=` uploads that directory to the Hugging Face Hub and tags it with the release + version (log in first with `hf auth login`). -#### MCP Server Configuration +### MCP Server Configuration To connect AI agents to the IssunDB MCP server, use the configuration template at [examples/mcp_config.json](examples/mcp_config.json): @@ -66,7 +77,7 @@ To connect AI agents to the IssunDB MCP server, use the configuration template a Replace `/path/to/kaggle-knowledge-graph` with the absolute path to your repository root directory. -#### Knowledge Graph Schema +### Knowledge Graph Schema
@@ -76,11 +87,11 @@ Replace `/path/to/kaggle-knowledge-graph` with the absolute path to your reposit --- -### Contributing +## Contributing See [CONTRIBUTING.md](CONTRIBUTING.md) for details on how to make a contribution. -### License +## License -This project is licensed under the [MIT License](LICENSE) except the knowledge graph data (built by the code in this repository), which +This project is licensed under the [MIT License](LICENSE) except for the knowledge graph data (built by the code in this repository), which is subject to the [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) license.