(data) clean too short files, strip yaml front matter

clean/clean_docs_using_content.py

@@ -37,18 +37,28 @@ if __name__ == "__main__":
     -- 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 filename ILIKE 'contributing.md'
+        WHERE rn_mtime = 1 OR file_rel_repo LIKE 'README.md' OR file_rel_repo ILIKE 'contributing.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
+    -- 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
+    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")

clean/clean_meta.yaml

@@ -22,13 +22,13 @@ updated_after: null
 # Restrict to specific owners (orgs/users); empty means no include filter
 include_owners: []
 # Exclude these owners
-exclude_owners: []
+exclude_owners: [appwrite]
 # Repo name filters (substring match, case-insensitive) over 'repo'
 include_repo_name_substrings: []
-exclude_repo_name_substrings: ["awesome", "cheatsheet", "resume", "books","days"]
+exclude_repo_name_substrings: ["awesome", "cheatsheet", "resume", "books","days","bootcamp"]
 # Topic filters (substring match, case-insensitive) over comma-joined topics field
 include_topic_substrings: []
-exclude_topic_substrings: ["interview","interview-prep","learn","roadmap","chinese", "awesome", "cheatsheet", "chatgpt", "books"]
+exclude_topic_substrings: ["interview","interview-prep","learn","roadmap","chinese", "awesome", "cheatsheet", "chatgpt", "books", "bootcamp"]
 #NOTE: also filter chatGPT label because many of those projects are dead.
 # Require presence of a README detected by fetch_gh_meta.py
 require_readme_found: true