Звіт у форматі JSON машиночитний
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"body": "…#110)\n\nAfter running into issues with pantab, I created a simple example for Pandas\r\nDataFrame-to-Hyper with the Hyper API that works without issue, easy to\r\nunderstand and implement without adding another dependency. Wanted to share\r\nwith others!",
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"headline": "New sample: Create Hyper file from pandas DataFrame using Hyper API (…",
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"body": "Bumps [gitpython](https://github.com/gitpython-developers/GitPython) from 3.1.27 to 3.1.30.\r\n- [Release notes](https://github.com/gitpython-developers/GitPython/releases)\r\n- [Changelog](https://github.com/gitpython-developers/GitPython/blob/main/CHANGES)\r\n- [Commits](https://github.com/gitpython-dev\n[…]\ny-name: gitpython\r\n dependency-type: direct:production\r\n...\r\n\r\nSigned-off-by: dependabot[bot] <support@github.com>\r\nCo-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>",
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"body": "The two snippets demonstrate how to extract meta data from a git\r\nrepository and store it into a Hyper database. The advanced version is\r\nusing multiple processes to speed up the data extraction.",
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"headline": "Update Native S3 Samples to use explicit credentials + dataset (#73)",
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"headline": "Cloud-DB extractor: Fix windows compatibility (#71)",
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"headline": "Simple example of querying a parquet file located in a public bucket …",
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"headline": "Remove Tableau copyright headers (#66)",
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"headline": "Add samples demonstrating Hyper's native S3 capabilities",
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"body": "With this commit we add samples from the Tableau Conference\nHands-on Training \"Use Hyper as your Cloud Lake Engine\" that\nshow you how Hyper can natively read CSV and parquet files that\nare stored on Amazon S3 without the need for external tools.",
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"headline": "Add samples demonstrating Hyper's native S3 capabilities",
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"headline": "Adds a sample demonstrating how to implement an incremental refresh b…",
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"headline": "removed the experimental_external_format_parquet parameter (#58)",
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"headline": "Sync dotnet samples with Hyper repository (#50)",
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"body": "….hyper` file to Tableau Server (without wrapping it into a TDSX file). This is supported in Tableau Online/Tableau Server starting with version 2021.4. Renamed the old sample which demonstrates how to wrap a multi-table extract into a TDSX file.",
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"headline": "Adds a sample which demonstrates how to publish a plain multi-table `…",
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"headline": "Merge pull request #41 from TableauKyle/main",
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"headline": "Script to convert tde to hyper",
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"body": "Updated to make use of the new datasource.update_hyper_data method from TSC. This allows me to delete tableau_restapi_helpers as all required functionality is provided by the standard client libraries.",
"is_bot": false,
"headline": "Clouddb extractor v2 (#45)",
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"headline": "Merge pull request #38 from tableau/jonas-eckhardt-single-table-publish",
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"headline": "Update README.md",
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"body": "* Refactored to support DBAPIv2 for simple db implementations\r\n\r\n* Additional logging and timing, fixed dbapi bug in bigquery_extractor\r\n\r\n* Added extractors for Postgres and MySQL. \r\nDescription of config.yaml: include adding the keys for DB properties to establish the connection\r\nbase_extractor.py\n[…]\nditions_json to input from file, better logging\r\n\r\n* Fixed introspection error for server side cursors\r\n\r\n* Fixed sql identifier quoting / parsing\r\n\r\nCo-authored-by: Silva <christian.sila.r@gmail.com>",
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"headline": "CloudDB extractor: Add support for Redis, Postgres, MySQL (#35)",
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"headline": "Cloud-DB Extractor: Reduce log level in extractor_cli.py to INFO",
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"headline": "Cloud-DB Extractor: Simplify requirements.txt",
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"headline": "Cloud-DB Extractor: Add more detailed installation instructions to RE…",
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"headline": "Update README.md",
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"headline": "Removed dead code",
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"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "No tokens found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "8 existing vulnerabilities detected",
"points": 1.5,
"status": "partial",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 17 resolved dependencies against OSV; 8 could not be assessed (no resolved version, an unsupported ecosystem, or beyond the reported package list). This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_repository",
"params": {
"assessed": 17
}
},
{
"code": "advisories_unassessed",
"params": {
"count": 8
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
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"advisories": 4,
"affected_packages": 1,
"assessed_packages": 17,
"unassessed_packages": 8,
"affected_by_severity": "moderate 1",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "transitive set not separable from development and test dependencies in this scope",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_scope_not_separable",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 17,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 8
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "at_risk",
"name": "AI Readiness",
"value": 32,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 28,
"inputs": {
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"legible_history_share": 0.515,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
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"name": "Agent instructions",
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"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "51 of 99 human commits state their intent (structured subject or explanatory body)",
"points": 27.5,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 51,
"sampled": 99
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
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"note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"openssf_scorecard_pinned_dependencies"
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}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 23,
"inputs": {
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"has_tests": false,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": false,
"typecheck_configs": [],
"agent_commit_share": 0,
"toolchain_manifests": [
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"Tableau-Supported/Java/build.gradle",
"Tableau-Supported/Java/create-hyper-file-from-csv/build.gradle",
"Tableau-Supported/Java/delete-data-in-existing-hyper-file/build.gradle",
"Tableau-Supported/Java/insert-data-into-multiple-tables/build.gradle",
"Tableau-Supported/Java/insert-data-into-single-table/build.gradle",
"Tableau-Supported/Java/insert-data-with-expressions/build.gradle",
"Tableau-Supported/Java/insert-spatial-data-to-a-hyper-file/build.gradle",
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"dependency_bot_commit_share": 0.01
},
"components": [
{
"key": "one_command_bootstrap",
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"detail": "Tableau-Supported/DotNet/Example.csproj, Tableau-Supported/Java/build.gradle, Tableau-Supported/Java/create-hyper-file-from-csv/build.gradle (toolchain convention, no task runner)",
"points": 12.6,
"status": "partial",
"details": [
{
"code": "toolchain_convention",
"params": {
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}
],
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},
{
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no agent-authored commits among the last 100",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "1 of the last 100 commits are automated dependency updates",
"points": 8,
"status": "met",
"details": [
{
"code": "dependency_bot_commits",
"params": {
"count": 1,
"sampled": 100
}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "no dependencies found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 55,
"inputs": {
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"largest_source_bytes": 41500,
"source_files_sampled": 68,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
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"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/68 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
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"sampled": 68,
"oversized": 0
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples"
],
"has_mcp_signal": false,
"api_schema_files": []
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"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
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"detail": "examples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples"
}
}
],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
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"warnings": [
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"Could not fetch pypi package 'hyper_kernel' from its registry"
],
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