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Update app.py
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app.py
CHANGED
@@ -67,16 +67,25 @@ def text_to_sql(query: str, schema: str) -> str:
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return f"Error: {e}"
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-
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def execute_sql(sql_query: str) -> Tuple[Optional[pd.DataFrame], Optional[str]]:
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try:
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conn = sqlite3.connect(DB_PATH)
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df = pd.read_sql_query(sql_query, conn)
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conn.close()
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return df, None
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except Exception as e:
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return None, f"SQL Execution Error: {e}"
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# Function: Generate Dynamic Visualization
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def visualize_data(df: pd.DataFrame) -> Optional[str]:
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if df.empty or df.shape[1] < 2:
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return f"Error: {e}"
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def preprocess_sql_for_sqlite(sql_query: str) -> str:
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"""
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Replace non-SQLite functions with SQLite-compatible equivalents.
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"""
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sql_query = re.sub(r"\bMONTH\s*\(\s*([\w.]+)\s*\)", r"strftime('%m', \1)", sql_query)
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sql_query = re.sub(r"\bYEAR\s*\(\s*([\w.]+)\s*\)", r"strftime('%Y', \1)", sql_query)
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return sql_query
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def execute_sql(sql_query: str) -> Tuple[Optional[pd.DataFrame], Optional[str]]:
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try:
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conn = sqlite3.connect(DB_PATH)
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sql_query = preprocess_sql_for_sqlite(sql_query) # Convert to SQLite-compatible SQL
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df = pd.read_sql_query(sql_query, conn)
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conn.close()
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return df, None
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except Exception as e:
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return None, f"SQL Execution Error: {e}"
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+
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# Function: Generate Dynamic Visualization
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def visualize_data(df: pd.DataFrame) -> Optional[str]:
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if df.empty or df.shape[1] < 2:
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