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Update app.py
Browse files
app.py
CHANGED
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@@ -4,6 +4,7 @@ import pandas as pd
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from huggingface_hub import hf_hub_download, snapshot_download
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import os
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import traceback
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from pathlib import Path
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# --- 1. Download and Cache the Database with Indices ---
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@@ -52,6 +53,23 @@ except Exception as e:
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# --- 2. Database Helper Functions ---
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def get_db_connection():
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"""
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Creates a new read-only connection to the SQLite database with optimizations.
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@@ -65,7 +83,6 @@ def get_db_connection():
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("PRAGMA query_only = ON", True),
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("PRAGMA temp_store = MEMORY", True),
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("PRAGMA cache_size = -128000", True), # 128MB cache
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("PRAGMA page_size = 8192", False), # Can't change on existing DB
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("PRAGMA mmap_size = 2147483648", True), # 2GB memory-mapped I/O
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("PRAGMA synchronous = OFF", True),
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("PRAGMA locking_mode = NORMAL", True),
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@@ -76,7 +93,7 @@ def get_db_connection():
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try:
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conn.execute(pragma)
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except sqlite3.OperationalError as e:
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if critical:
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print(f"Warning: Could not apply {pragma}: {e}")
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return conn
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@@ -128,12 +145,6 @@ def verify_indices():
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if fts:
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print(f"β
Full-Text Search enabled: {[f[0] for f in fts]}")
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# Check for FTS tables
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cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name LIKE '%fts%'")
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fts_tables = cursor.fetchall()
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if fts_tables:
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print(f"β
FTS tables found: {[t[0] for t in fts_tables]}")
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# Check database stats
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cursor.execute("PRAGMA page_size")
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page_size = cursor.fetchone()[0]
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@@ -158,62 +169,68 @@ def get_schema_info():
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schema_md = "# π Database Schema\n\n"
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try:
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# Get row count
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try:
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cursor.execute(f"SELECT COUNT(*) FROM {table_name}")
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row_count = cursor.fetchone()[0]
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schema_md += f"## Table: `{table_name}` ({row_count:,} rows)\n\n"
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except:
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schema_md += f"## Table: `{table_name}`\n\n"
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schema_md += "### Columns\n\n"
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schema_md += "| Column Name | Data Type | Not Null | Primary Key |\n"
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schema_md += "|:------------|:----------|:---------|:------------|\n"
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cursor.execute(f"PRAGMA table_info({table_name});")
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columns = cursor.fetchall()
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for col in columns:
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name, dtype, notnull, pk = col[1], col[2], col[3], col[5]
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schema_md += f"| `{name}` | `{dtype}` | {'β' if notnull else 'β'} | {'β' if pk else 'β'} |\n"
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# Show indices with details
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cursor.execute(f"PRAGMA index_list({table_name});")
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indices = cursor.fetchall()
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if indices:
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schema_md += f"\n### Indices ({len(indices)})\n\n"
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for idx in indices:
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idx_name, unique, origin = idx[1], idx[2], idx[3]
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# Get indexed columns
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cursor.execute(f"PRAGMA index_info({idx_name});")
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idx_cols = cursor.fetchall()
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cols = [col[2] for col in idx_cols if col[2]]
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unique_badge = "π UNIQUE" if unique else "π INDEX"
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schema_md += f"- **{idx_name}** {unique_badge}\n"
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schema_md += f" - Columns: `{', '.join(cols) if cols else 'id'}`\n"
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schema_md += f" - Origin: {origin}\n"
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schema_md += "\n---\n\n"
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except Exception as e:
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print(f"Error in get_schema_info: {e}")
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traceback.print_exc()
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@@ -305,15 +322,6 @@ def run_raw_query(sql_query):
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try:
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with get_db_connection() as conn:
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# Show query plan for debugging
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try:
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explain_result = conn.execute("EXPLAIN QUERY PLAN " + sql_query).fetchall()
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print("Query Plan:")
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for row in explain_result:
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print(f" {row}")
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except:
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pass
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df = pd.read_sql_query(sql_query, conn)
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if df.empty:
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@@ -328,6 +336,7 @@ def run_raw_query(sql_query):
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def get_semantic_profile(word, lang='en'):
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"""
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HIGHLY OPTIMIZED: Single query with UNION ALL for all relations at once.
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"""
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if not word:
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return "β οΈ Please enter a word."
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like_path = f"/c/{lang}/{word}%"
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print(f"Getting semantic profile for: {like_path}")
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# Most important relations for semantic understanding
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relations_to_check = [
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"/r/IsA", "/r/PartOf", "/r/HasA", "/r/UsedFor", "/r/CapableOf",
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"/r/Causes", "/r/HasProperty", "/r/Synonym", "/r/Antonym",
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try:
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with get_db_connection() as conn:
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#
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union_parts = []
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union_params = []
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for rel in relations_to_check:
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# Outgoing edges
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union_parts.append("""
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SELECT
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? as rel_label,
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INNER JOIN node en ON e.end_id = en.id
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INNER JOIN relation r ON e.rel_id = r.id
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WHERE s.id LIKE ? AND r.label = ?
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ORDER BY e.weight DESC
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LIMIT 7
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""")
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union_params.extend([rel, like_path, rel])
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# Incoming edges
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union_parts.append("""
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SELECT
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? as rel_label,
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INNER JOIN node en ON e.end_id = en.id
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INNER JOIN relation r ON e.rel_id = r.id
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WHERE en.id LIKE ? AND r.label = ?
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ORDER BY e.weight DESC
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LIMIT 7
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""")
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union_params.extend([rel, like_path, rel])
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#
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full_query = " UNION ALL ".join(union_parts)
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print(f"Executing optimized semantic profile query...")
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cursor = conn.execute(full_query, union_params)
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**Tip:** Use the Query Builder to search manually."""
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# Group and format results
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rel_results = []
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total_relations = 0
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for rel_label, direction, target_id, target_label, weight in results:
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for line in rel_results:
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output_md += line
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total_relations += len(rel_results)
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else:
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output_md += "*No results*\n"
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output_md += "\n"
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current_rel = rel_label
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rel_results = []
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# Format output
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weight_str = f"{weight:.3f}"
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if direction == 'out':
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rel_results.append(
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f"- **{word}** {rel_label} β *{target_label}* "
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f"`[{weight_str}]`\n"
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)
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else:
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rel_results.append(
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f"- *{target_label}* {rel_label} β **{word}** "
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f"`[{weight_str}]`\n"
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)
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#
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output_md += "*No results*\n"
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output_md += "\n"
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output_md += "---\n"
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# --- 3. Build the Gradio UI ---
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# Verify indices on startup
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verify_indices()
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gr.Markdown(
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f"**Database:** `{os.path.basename(DB_PATH)}` ({db_size_gb:.2f} GB) | "
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f"**Status:** {index_status}"
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)
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gr.Markdown("*Explore semantic relationships in ConceptNet with optimized indexed queries*")
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from huggingface_hub import hf_hub_download, snapshot_download
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import os
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import traceback
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import shutil
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from pathlib import Path
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# --- 1. Download and Cache the Database with Indices ---
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# --- 2. Database Helper Functions ---
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def check_disk_space():
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"""Check and report disk space"""
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total, used, free = shutil.disk_usage("/")
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print(f"\n=== Disk Space Check ===")
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print(f"Total: {total / (2**30):.2f} GB")
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print(f"Used: {used / (2**30):.2f} GB")
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print(f"Free: {free / (2**30):.2f} GB")
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if free < 5 * (2**30):
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print("β οΈ WARNING: Less than 5GB free!")
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else:
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print("β
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print("========================\n")
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return free
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def get_db_connection():
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"""
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Creates a new read-only connection to the SQLite database with optimizations.
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("PRAGMA query_only = ON", True),
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("PRAGMA temp_store = MEMORY", True),
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("PRAGMA cache_size = -128000", True), # 128MB cache
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("PRAGMA mmap_size = 2147483648", True), # 2GB memory-mapped I/O
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("PRAGMA synchronous = OFF", True),
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("PRAGMA locking_mode = NORMAL", True),
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try:
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conn.execute(pragma)
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except sqlite3.OperationalError as e:
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if critical and "journal_mode" not in pragma:
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print(f"Warning: Could not apply {pragma}: {e}")
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return conn
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if fts:
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print(f"β
Full-Text Search enabled: {[f[0] for f in fts]}")
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# Check database stats
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cursor.execute("PRAGMA page_size")
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page_size = cursor.fetchone()[0]
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schema_md = "# π Database Schema\n\n"
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try:
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conn = get_db_connection()
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if not conn:
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return "β Could not connect to database"
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cursor = conn.cursor()
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# Get database stats
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cursor.execute("SELECT page_count * page_size as size FROM pragma_page_count(), pragma_page_size()")
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db_size = cursor.fetchone()[0]
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schema_md += f"**Database Size:** {db_size / 1024 / 1024 / 1024:.2f} GB\n\n"
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cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name NOT LIKE 'sqlite_%';")
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tables = cursor.fetchall()
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if not tables:
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conn.close()
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return "Could not find any tables in the database."
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for table in tables:
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table_name = table[0]
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# Get row count (with timeout protection)
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try:
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cursor.execute(f"SELECT COUNT(*) FROM {table_name}")
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row_count = cursor.fetchone()[0]
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schema_md += f"## Table: `{table_name}` ({row_count:,} rows)\n\n"
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except:
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schema_md += f"## Table: `{table_name}`\n\n"
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schema_md += "### Columns\n\n"
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schema_md += "| Column Name | Data Type | Not Null | Primary Key |\n"
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schema_md += "|:------------|:----------|:---------|:------------|\n"
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cursor.execute(f"PRAGMA table_info({table_name});")
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columns = cursor.fetchall()
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for col in columns:
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name, dtype, notnull, pk = col[1], col[2], col[3], col[5]
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schema_md += f"| `{name}` | `{dtype}` | {'β' if notnull else 'β'} | {'β' if pk else 'β'} |\n"
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# Show indices with details
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cursor.execute(f"PRAGMA index_list({table_name});")
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indices = cursor.fetchall()
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if indices:
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schema_md += f"\n### Indices ({len(indices)})\n\n"
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for idx in indices:
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idx_name, unique, origin = idx[1], idx[2], idx[3]
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# Get indexed columns
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cursor.execute(f"PRAGMA index_info({idx_name});")
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idx_cols = cursor.fetchall()
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cols = [col[2] for col in idx_cols if col[2]]
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unique_badge = "π UNIQUE" if unique else "π INDEX"
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schema_md += f"- **{idx_name}** {unique_badge}\n"
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schema_md += f" - Columns: `{', '.join(cols) if cols else 'id'}`\n"
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schema_md += f" - Origin: {origin}\n"
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+
schema_md += "\n---\n\n"
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+
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+
conn.close()
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+
return schema_md
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+
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except Exception as e:
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| 235 |
print(f"Error in get_schema_info: {e}")
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| 236 |
traceback.print_exc()
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| 323 |
try:
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with get_db_connection() as conn:
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| 325 |
df = pd.read_sql_query(sql_query, conn)
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| 327 |
if df.empty:
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| 336 |
def get_semantic_profile(word, lang='en'):
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"""
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| 338 |
HIGHLY OPTIMIZED: Single query with UNION ALL for all relations at once.
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| 339 |
+
FIXED: ORDER BY placed correctly after all UNION ALL clauses.
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"""
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if not word:
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| 342 |
return "β οΈ Please enter a word."
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like_path = f"/c/{lang}/{word}%"
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print(f"Getting semantic profile for: {like_path}")
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| 348 |
relations_to_check = [
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"/r/IsA", "/r/PartOf", "/r/HasA", "/r/UsedFor", "/r/CapableOf",
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| 350 |
"/r/Causes", "/r/HasProperty", "/r/Synonym", "/r/Antonym",
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|
| 356 |
|
| 357 |
try:
|
| 358 |
with get_db_connection() as conn:
|
| 359 |
+
# FIXED: ORDER BY goes AFTER all UNION ALL clauses
|
| 360 |
union_parts = []
|
| 361 |
union_params = []
|
| 362 |
|
| 363 |
for rel in relations_to_check:
|
| 364 |
+
# Outgoing edges
|
| 365 |
union_parts.append("""
|
| 366 |
SELECT
|
| 367 |
? as rel_label,
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|
| 374 |
INNER JOIN node en ON e.end_id = en.id
|
| 375 |
INNER JOIN relation r ON e.rel_id = r.id
|
| 376 |
WHERE s.id LIKE ? AND r.label = ?
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|
| 377 |
""")
|
| 378 |
union_params.extend([rel, like_path, rel])
|
| 379 |
|
| 380 |
+
# Incoming edges
|
| 381 |
union_parts.append("""
|
| 382 |
SELECT
|
| 383 |
? as rel_label,
|
|
|
|
| 390 |
INNER JOIN node en ON e.end_id = en.id
|
| 391 |
INNER JOIN relation r ON e.rel_id = r.id
|
| 392 |
WHERE en.id LIKE ? AND r.label = ?
|
|
|
|
|
|
|
| 393 |
""")
|
| 394 |
union_params.extend([rel, like_path, rel])
|
| 395 |
|
| 396 |
+
# Combine all parts with UNION ALL, then ORDER BY at the very end
|
| 397 |
+
full_query = " UNION ALL ".join(union_parts) + " ORDER BY rel_label, weight DESC"
|
| 398 |
|
| 399 |
print(f"Executing optimized semantic profile query...")
|
| 400 |
cursor = conn.execute(full_query, union_params)
|
|
|
|
| 413 |
|
| 414 |
**Tip:** Use the Query Builder to search manually."""
|
| 415 |
|
| 416 |
+
# Group and format results (limit to top 7 per relation per direction)
|
| 417 |
+
results_by_rel = {}
|
|
|
|
|
|
|
| 418 |
|
| 419 |
for rel_label, direction, target_id, target_label, weight in results:
|
| 420 |
+
key = (rel_label, direction)
|
| 421 |
+
if key not in results_by_rel:
|
| 422 |
+
results_by_rel[key] = []
|
| 423 |
+
if len(results_by_rel[key]) < 7: # Limit to 7 per relation per direction
|
| 424 |
+
results_by_rel[key].append((target_id, target_label, weight))
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 425 |
|
| 426 |
+
# Format output
|
| 427 |
+
total_relations = 0
|
| 428 |
+
for rel in relations_to_check:
|
| 429 |
+
output_md += f"## {rel}\n\n"
|
| 430 |
+
|
| 431 |
+
has_results = False
|
| 432 |
+
|
| 433 |
+
# Outgoing
|
| 434 |
+
out_key = (rel, 'out')
|
| 435 |
+
if out_key in results_by_rel and results_by_rel[out_key]:
|
| 436 |
+
for target_id, target_label, weight in results_by_rel[out_key]:
|
| 437 |
+
output_md += f"- **{word}** {rel} β *{target_label}* `[{weight:.3f}]`\n"
|
| 438 |
+
has_results = True
|
| 439 |
+
total_relations += 1
|
| 440 |
+
|
| 441 |
+
# Incoming
|
| 442 |
+
in_key = (rel, 'in')
|
| 443 |
+
if in_key in results_by_rel and results_by_rel[in_key]:
|
| 444 |
+
for target_id, target_label, weight in results_by_rel[in_key]:
|
| 445 |
+
output_md += f"- *{target_label}* {rel} β **{word}** `[{weight:.3f}]`\n"
|
| 446 |
+
has_results = True
|
| 447 |
+
total_relations += 1
|
| 448 |
+
|
| 449 |
+
if not has_results:
|
| 450 |
output_md += "*No results*\n"
|
| 451 |
+
|
| 452 |
output_md += "\n"
|
| 453 |
|
| 454 |
output_md += "---\n"
|
|
|
|
| 464 |
|
| 465 |
# --- 3. Build the Gradio UI ---
|
| 466 |
|
| 467 |
+
# Check disk space first
|
| 468 |
+
free_space = check_disk_space()
|
| 469 |
+
|
| 470 |
# Verify indices on startup
|
| 471 |
verify_indices()
|
| 472 |
|
|
|
|
| 479 |
|
| 480 |
gr.Markdown(
|
| 481 |
f"**Database:** `{os.path.basename(DB_PATH)}` ({db_size_gb:.2f} GB) | "
|
| 482 |
+
f"**Status:** {index_status} | "
|
| 483 |
+
f"**Free Disk:** {free_space / (2**30):.2f} GB"
|
| 484 |
)
|
| 485 |
gr.Markdown("*Explore semantic relationships in ConceptNet with optimized indexed queries*")
|
| 486 |
|