import duckdb # schema # | column_name | string | # |-------------|--------| # | data_type | string | # | owner | VARCHAR | # | repo | VARCHAR | # | repo_dir | VARCHAR | # | file_rel_repo | VARCHAR | # | file_rel_outdir | VARCHAR | # | size | BIGINT | if __name__ == "__main__": # Define filtering conditions # Exclude versioned documentation folders # Exclude specific examples from 'appwrite' repo except for version 1.7.x conditions = [ "file_rel_repo NOT LIKE '/docs/versioned_docs%'", "NOT (repo = 'appwrite' AND file_rel_repo LIKE 'docs/examples%' AND file_rel_repo NOT LIKE 'docs/examples/1.7.x/%')", "file_rel_repo NOT LIKE '%/individual/%'", ] conditions_str = " AND ".join(conditions) # Build the query with CTEs for readability query = f""" -- Step 1: Filter the base data (filename column is precomputed) WITH filtered AS ( SELECT * FROM 'output/cleaned_texts_on_metadata_only.parquet' WHERE {conditions_str} ), -- Step 2: Rank by mtime within each (owner, repo, filename) group to identify latest versions ranked_mtime AS ( SELECT *, ROW_NUMBER() OVER (PARTITION BY owner, repo, file_rel_repo ORDER BY mtime DESC) as rn_mtime FROM filtered ), -- Step 3: Keep only the latest version for duplicates, but preserve all README.md and Contributing.md files filtered_dup AS ( SELECT * FROM ranked_mtime WHERE rn_mtime = 1 OR file_rel_repo LIKE 'README.md' OR file_rel_repo ILIKE 'contributing.md' ), -- Step 4: Remove YAML front matter and drop short documents frontmatter_stripped AS ( SELECT *, REGEXP_REPLACE(content, '(?s)^---\\s*\n.*?\n---\\s*\n*', '') AS content_stripped FROM filtered_dup ), length_filtered AS ( SELECT * FROM frontmatter_stripped WHERE LENGTH(TRIM(content_stripped)) >= 150 ), -- Step 5: Rank by cleaned content to remove duplicate content, keeping the first occurrence ranked AS ( SELECT *, ROW_NUMBER() OVER (PARTITION BY content_stripped ORDER BY owner, repo, file_rel_repo) as rn FROM length_filtered ) -- Final selection: unique content after filename deduplication SELECT owner, repo, repo_dir, file_rel_repo, file_rel_outdir, size, mtime, lang, content_stripped AS content FROM ranked WHERE rn = 1 """ # FIXME: contributing filter currently does nothing. rel = duckdb.sql(query) rel.to_parquet("gooddocs.parquet") print(f"Filtered documents saved to gooddocs.parquet ({rel.shape[0]} items)")