filter.py

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/%')",
    ]
    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 'texts.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, filename ORDER BY mtime DESC) as rn_mtime
        FROM filtered
    ),
    -- Step 3: Keep only the latest version for duplicates, but preserve all README.md files
    filtered_dup AS (
        SELECT * FROM ranked_mtime
        WHERE rn_mtime = 1 OR filename LIKE 'README.md'
    ),
    -- Step 4: Rank by content to remove duplicate content, keeping the first occurrence
    ranked AS (
        SELECT *, ROW_NUMBER() OVER (PARTITION BY content ORDER BY owner, repo, file_rel_repo) as rn
        FROM filtered_dup
    )
    -- Final selection: unique content after filename deduplication
    SELECT owner, repo, repo_dir, file_rel_repo, file_rel_outdir, size, mtime, lang, content, filename
    FROM ranked
    WHERE rn = 1
    """

    rel = duckdb.sql(query)
    rel.to_parquet("gooddocs.parquet")
    print(f"Filtered documents saved to gooddocs.parquet ({rel.shape[0]} items)")