|
| 1 | +from dataclasses import dataclass |
| 2 | +import logging |
| 3 | +import traceback |
| 4 | +import json |
| 5 | + |
| 6 | +from redash.query_runner import * |
| 7 | +from redash.utils import json_dumps, json_loads |
| 8 | + |
| 9 | +logger = logging.getLogger(__name__) |
| 10 | + |
| 11 | +try: |
| 12 | + import nzpy |
| 13 | + import nzpy.core |
| 14 | + _enabled = True |
| 15 | + _nztypes = { |
| 16 | + nzpy.core.NzTypeInt1 : TYPE_INTEGER, |
| 17 | + nzpy.core.NzTypeInt2 : TYPE_INTEGER, |
| 18 | + nzpy.core.NzTypeInt : TYPE_INTEGER, |
| 19 | + nzpy.core.NzTypeInt8 : TYPE_INTEGER, |
| 20 | + nzpy.core.NzTypeBool : TYPE_BOOLEAN, |
| 21 | + nzpy.core.NzTypeDate : TYPE_DATE, |
| 22 | + nzpy.core.NzTypeTimestamp : TYPE_DATETIME, |
| 23 | + nzpy.core.NzTypeDouble : TYPE_FLOAT, |
| 24 | + nzpy.core.NzTypeFloat : TYPE_FLOAT, |
| 25 | + nzpy.core.NzTypeChar : TYPE_STRING, |
| 26 | + nzpy.core.NzTypeNChar : TYPE_STRING, |
| 27 | + nzpy.core.NzTypeNVarChar : TYPE_STRING, |
| 28 | + nzpy.core.NzTypeVarChar : TYPE_STRING, |
| 29 | + nzpy.core.NzTypeVarFixedChar : TYPE_STRING, |
| 30 | + nzpy.core.NzTypeNumeric : TYPE_FLOAT, |
| 31 | + } |
| 32 | + |
| 33 | + _cat_types = { |
| 34 | + 16: TYPE_BOOLEAN, # boolean |
| 35 | + 17: TYPE_STRING, # bytea |
| 36 | + 19: TYPE_STRING, # name type |
| 37 | + 20: TYPE_INTEGER, # int8 |
| 38 | + 21: TYPE_INTEGER, # int2 |
| 39 | + 23: TYPE_INTEGER, # int4 |
| 40 | + 25: TYPE_STRING, # TEXT type |
| 41 | + 26: TYPE_INTEGER, # oid |
| 42 | + 28: TYPE_INTEGER, # xid |
| 43 | + 700: TYPE_FLOAT, # float4 |
| 44 | + 701: TYPE_FLOAT, # float8 |
| 45 | + 705: TYPE_STRING, # unknown |
| 46 | + 829: TYPE_STRING, # MACADDR type |
| 47 | + 1042: TYPE_STRING, # CHAR type |
| 48 | + 1043: TYPE_STRING, # VARCHAR type |
| 49 | + 1082: TYPE_DATE, # date |
| 50 | + 1083: TYPE_DATETIME, |
| 51 | + 1114: TYPE_DATETIME, # timestamp w/ tz |
| 52 | + 1184: TYPE_DATETIME, |
| 53 | + 1700: TYPE_FLOAT, # NUMERIC |
| 54 | + 2275: TYPE_STRING, # cstring |
| 55 | + 2950: TYPE_STRING # uuid |
| 56 | + } |
| 57 | +except: |
| 58 | + _enabled = False |
| 59 | + _nztypes = {} |
| 60 | + _cat_types = {} |
| 61 | + |
| 62 | +class Netezza(BaseSQLQueryRunner): |
| 63 | + noop_query = "SELECT 1" |
| 64 | + |
| 65 | + @classmethod |
| 66 | + def configuration_schema(cls): |
| 67 | + return { |
| 68 | + "type": "object", |
| 69 | + "properties": { |
| 70 | + "user": {"type": "string"}, |
| 71 | + "password": {"type": "string"}, |
| 72 | + "host": {"type": "string", "default": "127.0.0.1"}, |
| 73 | + "port": {"type": "number", "default": 5480}, |
| 74 | + "database": {"type": "string", "title": "Database Name", "default":"system"}, |
| 75 | + }, |
| 76 | + "order": ["host", "port", "user", "password", "database"], |
| 77 | + "required": ["user", "password", "database"], |
| 78 | + "secret": ["password"], |
| 79 | + } |
| 80 | + |
| 81 | + @classmethod |
| 82 | + def type(cls): |
| 83 | + return "nz" |
| 84 | + |
| 85 | + def __init__(self, configuration): |
| 86 | + super().__init__(configuration) |
| 87 | + self._conn = None |
| 88 | + |
| 89 | + @property |
| 90 | + def connection(self): |
| 91 | + if self._conn is None: |
| 92 | + self._conn = nzpy.connect( |
| 93 | + host = self.configuration.get("host"), |
| 94 | + user = self.configuration.get("user"), |
| 95 | + password = self.configuration.get("password"), |
| 96 | + port = self.configuration.get("port"), |
| 97 | + database = self.configuration.get("database") |
| 98 | + ) |
| 99 | + return self._conn |
| 100 | + |
| 101 | + def get_schema(self, get_stats=False): |
| 102 | + qry = ''' |
| 103 | + select |
| 104 | + table_schema || '.' || table_name as table_name, |
| 105 | + column_name, |
| 106 | + data_type |
| 107 | + from |
| 108 | + columns |
| 109 | + where |
| 110 | + table_schema not in (^information_schema^, ^definition_schema^) and |
| 111 | + table_catalog = current_catalog; |
| 112 | + ''' |
| 113 | + schema = {} |
| 114 | + with self.connection.cursor() as cursor: |
| 115 | + cursor.execute(qry) |
| 116 | + for table_name, column_name, data_type in cursor: |
| 117 | + if table_name not in schema: |
| 118 | + schema[table_name] = {"name": table_name, "columns": []} |
| 119 | + schema[table_name]["columns"].append({"name": column_name, "type": data_type}) |
| 120 | + return list(schema.values()) |
| 121 | + |
| 122 | + @classmethod |
| 123 | + def enabled(cls): |
| 124 | + global _enabled |
| 125 | + return _enabled |
| 126 | + |
| 127 | + def type_map(self, typid, func): |
| 128 | + global _nztypes, _cat_types |
| 129 | + typ = _nztypes.get(typid) |
| 130 | + if typ is None: |
| 131 | + return _cat_types.get(typid) |
| 132 | + # check for conflicts |
| 133 | + if typid == nzpy.core.NzTypeVarChar: |
| 134 | + return TYPE_BOOLEAN if 'bool' in func.__name__ else typ |
| 135 | + |
| 136 | + if typid == nzpy.core.NzTypeInt2: |
| 137 | + return TYPE_STRING if 'text' in func.__name__ else typ |
| 138 | + |
| 139 | + if typid in (nzpy.core.NzTypeVarFixedChar, nzpy.core.NzTypeVarBinary, |
| 140 | + nzpy.core.NzTypeNVarChar): |
| 141 | + return TYPE_INTEGER if 'int' in func.__name__ else typ |
| 142 | + return typ |
| 143 | + |
| 144 | + def run_query(self, query, user): |
| 145 | + json_data, error = None, None |
| 146 | + try: |
| 147 | + with self.connection.cursor() as cursor: |
| 148 | + cursor.execute(query) |
| 149 | + if cursor.description is None: |
| 150 | + columns = {"columns":[], "rows":[]} |
| 151 | + else: |
| 152 | + columns = self.fetch_columns( |
| 153 | + [(val[0], self.type_map(val[1], cursor.ps['row_desc'][i]['func'])) |
| 154 | + for i, val in enumerate(cursor.description)]) |
| 155 | + rows = [ |
| 156 | + dict(zip((column["name"] for column in columns), row)) |
| 157 | + for row in cursor |
| 158 | + ] |
| 159 | + |
| 160 | + json_data = json.dumps({"columns": columns, "rows": rows}) |
| 161 | + except: |
| 162 | + error = traceback.format_exc() |
| 163 | + return json_data, error |
| 164 | + |
| 165 | +register(Netezza) |
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