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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)")
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