class Schema: def __init__(self, db_connection_method): self.execute = db_connection_method def get_schema_info(self, schema='public'): """Fetches schema information directly.""" tables_result = self.execute(""" SELECT table_name FROM information_schema.tables WHERE table_schema = %s AND table_type = 'BASE TABLE'; """, [schema]) tables = [row['table_name'] for row in tables_result] schema_info = {} for table in tables: columns_result = self.execute(""" SELECT column_name, data_type FROM information_schema.columns WHERE table_schema = %s AND table_name = %s ORDER BY ordinal_position; """, [schema, table]) columns = [(row['column_name'], row['data_type']) for row in columns_result] primary_keys_result = self.execute(""" SELECT kcu.column_name FROM information_schema.table_constraints tc JOIN information_schema.key_column_usage kcu ON tc.constraint_name = kcu.constraint_name AND tc.table_schema = kcu.table_schema WHERE tc.constraint_type = 'PRIMARY KEY' AND tc.table_schema = %s AND tc.table_name = %s; """, [schema, table]) primary_keys = [row['column_name'] for row in primary_keys_result] foreign_keys_result = self.execute(""" SELECT kcu.column_name AS fk_column, ccu.table_name AS referenced_table, ccu.column_name AS referenced_column FROM information_schema.table_constraints AS tc JOIN information_schema.key_column_usage AS kcu ON tc.constraint_name = kcu.constraint_name AND tc.table_schema = kcu.table_schema JOIN information_schema.constraint_column_usage AS ccu ON ccu.constraint_name = tc.constraint_name AND ccu.table_schema = tc.table_schema WHERE tc.constraint_type = 'FOREIGN KEY' AND tc.table_schema = %s AND tc.table_name = %s; """, [schema, table]) foreign_keys = [(row['fk_column'], row['referenced_table'], row['referenced_column']) for row in foreign_keys_result] schema_info[table] = { 'columns': columns, 'primary_keys': primary_keys, 'foreign_keys': foreign_keys } return schema_info def _map_data_type_for_sql(self, postgres_type): """Maps PostgreSQL types to standard SQL types (simplified).""" return { 'character varying': 'VARCHAR', 'varchar': 'VARCHAR', 'text': 'TEXT', 'integer': 'INTEGER', 'bigint': 'BIGINT', 'boolean': 'BOOLEAN', 'timestamp without time zone': 'TIMESTAMP', 'timestamp with time zone': 'TIMESTAMPTZ', 'numeric': 'NUMERIC', 'real': 'REAL', 'date': 'DATE' }.get(postgres_type, postgres_type.upper()) def _map_data_type(self, postgres_type): """Maps PostgreSQL types to Mermaid ER diagram types.""" type_mapping = { 'integer': 'int', 'bigint': 'int', 'smallint': 'int', 'character varying': 'string', 'varchar': 'string', 'text': 'string', 'date': 'date', 'timestamp without time zone': 'datetime', 'timestamp with time zone': 'datetime', 'boolean': 'bool', 'numeric': 'float', 'real': 'float' } return type_mapping.get(postgres_type, 'string') def generate_mermaid_er(self, schema_info): """Generates Mermaid ER diagram code from schema info.""" mermaid_lines = [ "%%{init: {'theme': 'default', 'themeCSS': '.er.entityBox { fill: transparent !important; } .er.attributeBoxEven { fill: transparent !important; } .er.attributeBoxOdd { fill: transparent !important; }'}}%%", "erDiagram" ] # Sort tables for stable output sorted_tables = sorted(schema_info.keys()) for table in sorted_tables: info = schema_info[table] mermaid_lines.append(f" {table} {{") pks = set(info.get('primary_keys', [])) fks = {fk[0] for fk in info.get('foreign_keys', [])} for column_name, data_type in info['columns']: mermaid_data_type = self._map_data_type(data_type) markers = [] if column_name in pks: markers.append("PK") if column_name in fks: markers.append("FK") marker_str = f" {','.join(markers)}" if markers else "" mermaid_lines.append(f" {mermaid_data_type} {column_name}{marker_str}") mermaid_lines.append(" }") for table in sorted_tables: info = schema_info[table] # Sort foreign keys for stable output sorted_fks = sorted(info.get('foreign_keys', []), key=lambda x: x[0]) for fk_column, referenced_table, referenced_column in sorted_fks: relation = f" {referenced_table} ||--o{{ {table} : \"{fk_column}\"" mermaid_lines.append(relation) return "\n".join(mermaid_lines) def generate_create_script(self, schema_info): """Generates SQL CREATE TABLE scripts from schema info.""" lines = [] for table, info in schema_info.items(): columns = info['columns'] pks = info.get('primary_keys', []) fks = info['foreign_keys'] column_defs = [] for column_name, data_type in columns: sql_type = self._map_data_type_for_sql(data_type) column_defs.append(f' "{column_name}" {sql_type}') if pks: pk_columns = ", ".join(f'"{pk}"' for pk in pks) column_defs.append(f' PRIMARY KEY ({pk_columns})') columns_sql = ",\n".join(column_defs) create_stmt = f'CREATE TABLE "{table}" (\n{columns_sql}\n);' lines.append(create_stmt) for fk_column, ref_table, ref_col in fks: alter_stmt = ( f'ALTER TABLE "{table}" ADD CONSTRAINT "fk_{table}_{fk_column}" ' f'FOREIGN KEY ("{fk_column}") REFERENCES "{ref_table}" ("{ref_col}");' ) lines.append(alter_stmt) lines.append("") return "\n".join(lines)