|
| 1 | +""" |
| 2 | +P9.2: Database dialect adapters. |
| 3 | +
|
| 4 | +为何独立成模块: |
| 5 | + - v0.1 ~ v0.2 时期 SQL→Java 类型映射散落在 template_context.py 里,只考虑 MySQL |
| 6 | + - PostgreSQL 引入后,差异点: |
| 7 | + * 整数: INT2/INT4/INT8 vs MySQL 的 INT/BIGINT |
| 8 | + * 序列: SERIAL/BIGSERIAL (PG 自增惯例,无 AUTO_INCREMENT 关键字) |
| 9 | + * 布尔: PG 原生 BOOLEAN, MySQL 用 TINYINT(1) 模拟 |
| 10 | + * 二进制: BYTEA vs BLOB 系列 |
| 11 | + * JSON: JSON + JSONB (两种,PG 推荐 JSONB) |
| 12 | + * UUID: PG 原生 UUID, MySQL 没有 → CHAR(36) 存 |
| 13 | + * 时区: TIMESTAMPTZ → OffsetDateTime,普通 TIMESTAMP → LocalDateTime |
| 14 | + - 把方言策略和模板上下文剥离开,后续要加 Oracle / SQLServer 时加一个 adapter 就行 |
| 15 | +
|
| 16 | +调用方: |
| 17 | + - template_context.py (TODO 下个迭代切过去,保持向后兼容) |
| 18 | + - codegen_tools.py / atomic_codegen_tools.py |
| 19 | + - 集成测试 (PostgreSQL Testcontainers 跑出来的类型也用同一套映射) |
| 20 | +""" |
| 21 | + |
| 22 | +from __future__ import annotations |
| 23 | + |
| 24 | +import re |
| 25 | +from abc import ABC, abstractmethod |
| 26 | +from typing import Dict |
| 27 | + |
| 28 | + |
| 29 | +_PAREN_PATTERN = re.compile(r"\([^)]*\)") |
| 30 | + |
| 31 | + |
| 32 | +def _strip_paren(db_type: str) -> str: |
| 33 | + """剥离 `VARCHAR(64)` 这种带长度的括号部分,统一小写无空格。""" |
| 34 | + return _PAREN_PATTERN.sub("", db_type.upper()).strip() |
| 35 | + |
| 36 | + |
| 37 | +# ============================================================ |
| 38 | +# 基类 |
| 39 | +# ============================================================ |
| 40 | + |
| 41 | + |
| 42 | +class DialectAdapter(ABC): |
| 43 | + """方言适配器基类。每个 DB 厂家一个子类。""" |
| 44 | + |
| 45 | + name: str = "abstract" |
| 46 | + |
| 47 | + @property |
| 48 | + @abstractmethod |
| 49 | + def type_to_java(self) -> Dict[str, str]: |
| 50 | + """SQL base type → Java type. base type 已 strip 括号。""" |
| 51 | + |
| 52 | + @property |
| 53 | + @abstractmethod |
| 54 | + def type_to_jdbc(self) -> Dict[str, str]: |
| 55 | + """SQL base type → JDBC type 字符串 (用于 MyBatis Plus jdbcType)。""" |
| 56 | + |
| 57 | + @property |
| 58 | + def string_types(self) -> set[str]: |
| 59 | + """该方言下视为 String 的类型集合 (base type)。""" |
| 60 | + return {k for k, v in self.type_to_java.items() if v == "String"} |
| 61 | + |
| 62 | + @property |
| 63 | + def date_types(self) -> set[str]: |
| 64 | + """日期/时间类型 (用于决定是否 import LocalDate 等)。""" |
| 65 | + return { |
| 66 | + k |
| 67 | + for k, v in self.type_to_java.items() |
| 68 | + if v in {"LocalDate", "LocalTime", "LocalDateTime", "OffsetDateTime", "Instant"} |
| 69 | + } |
| 70 | + |
| 71 | + @property |
| 72 | + def decimal_types(self) -> set[str]: |
| 73 | + return {k for k, v in self.type_to_java.items() if v == "BigDecimal"} |
| 74 | + |
| 75 | + def java_type_for(self, db_type: str) -> str: |
| 76 | + """主入口: 给一个数据库声明类型,返回 Java 类型 (找不到默认 String)。""" |
| 77 | + base = _strip_paren(db_type) |
| 78 | + # TINYINT(1) 是 MySQL 布尔约定 — 单独判 |
| 79 | + if db_type.upper().replace(" ", "") == "TINYINT(1)": |
| 80 | + return self.type_to_java.get("TINYINT(1)", self.type_to_java.get(base, "String")) |
| 81 | + return self.type_to_java.get(base, "String") |
| 82 | + |
| 83 | + def jdbc_type_for(self, db_type: str) -> str: |
| 84 | + base = _strip_paren(db_type) |
| 85 | + return self.type_to_jdbc.get(base, "VARCHAR") |
| 86 | + |
| 87 | + def is_string_type(self, db_type: str) -> bool: |
| 88 | + return _strip_paren(db_type) in self.string_types |
| 89 | + |
| 90 | + def is_date_type(self, db_type: str) -> bool: |
| 91 | + return _strip_paren(db_type) in self.date_types |
| 92 | + |
| 93 | + def is_decimal_type(self, db_type: str) -> bool: |
| 94 | + return _strip_paren(db_type) in self.decimal_types |
| 95 | + |
| 96 | + |
| 97 | +# ============================================================ |
| 98 | +# MySQL (从 template_context.py 抽出来的现有逻辑) |
| 99 | +# ============================================================ |
| 100 | + |
| 101 | + |
| 102 | +class MySQLDialect(DialectAdapter): |
| 103 | + name = "mysql" |
| 104 | + |
| 105 | + @property |
| 106 | + def type_to_java(self) -> Dict[str, str]: |
| 107 | + return { |
| 108 | + # 整数 |
| 109 | + "TINYINT": "Byte", |
| 110 | + "TINYINT(1)": "Boolean", # 经典 MySQL 布尔约定 |
| 111 | + "SMALLINT": "Short", |
| 112 | + "MEDIUMINT": "Integer", |
| 113 | + "INT": "Integer", |
| 114 | + "INTEGER": "Integer", |
| 115 | + "BIGINT": "Long", |
| 116 | + # 浮点 |
| 117 | + "FLOAT": "Float", |
| 118 | + "DOUBLE": "Double", |
| 119 | + "DECIMAL": "BigDecimal", |
| 120 | + "NUMERIC": "BigDecimal", |
| 121 | + # 字符串 |
| 122 | + "CHAR": "String", |
| 123 | + "VARCHAR": "String", |
| 124 | + "TEXT": "String", |
| 125 | + "LONGTEXT": "String", |
| 126 | + "MEDIUMTEXT": "String", |
| 127 | + "TINYTEXT": "String", |
| 128 | + "NCHAR": "String", |
| 129 | + "NVARCHAR": "String", |
| 130 | + "ENUM": "String", |
| 131 | + "SET": "String", |
| 132 | + # 日期 |
| 133 | + "DATE": "LocalDate", |
| 134 | + "TIME": "LocalTime", |
| 135 | + "DATETIME": "LocalDateTime", |
| 136 | + "TIMESTAMP": "LocalDateTime", |
| 137 | + "YEAR": "Integer", |
| 138 | + # 布尔 |
| 139 | + "BOOLEAN": "Boolean", |
| 140 | + "BOOL": "Boolean", |
| 141 | + # 二进制 |
| 142 | + "BINARY": "byte[]", |
| 143 | + "VARBINARY": "byte[]", |
| 144 | + "BLOB": "byte[]", |
| 145 | + "LONGBLOB": "byte[]", |
| 146 | + "MEDIUMBLOB": "byte[]", |
| 147 | + "TINYBLOB": "byte[]", |
| 148 | + # JSON |
| 149 | + "JSON": "String", |
| 150 | + } |
| 151 | + |
| 152 | + @property |
| 153 | + def type_to_jdbc(self) -> Dict[str, str]: |
| 154 | + return { |
| 155 | + "TINYINT": "TINYINT", |
| 156 | + "SMALLINT": "SMALLINT", |
| 157 | + "MEDIUMINT": "INTEGER", |
| 158 | + "INT": "INTEGER", |
| 159 | + "INTEGER": "INTEGER", |
| 160 | + "BIGINT": "BIGINT", |
| 161 | + "FLOAT": "FLOAT", |
| 162 | + "DOUBLE": "DOUBLE", |
| 163 | + "DECIMAL": "DECIMAL", |
| 164 | + "NUMERIC": "NUMERIC", |
| 165 | + "CHAR": "CHAR", |
| 166 | + "VARCHAR": "VARCHAR", |
| 167 | + "TEXT": "LONGVARCHAR", |
| 168 | + "LONGTEXT": "LONGVARCHAR", |
| 169 | + "MEDIUMTEXT": "LONGVARCHAR", |
| 170 | + "TINYTEXT": "VARCHAR", |
| 171 | + "NCHAR": "NCHAR", |
| 172 | + "NVARCHAR": "NVARCHAR", |
| 173 | + "DATE": "DATE", |
| 174 | + "TIME": "TIME", |
| 175 | + "DATETIME": "TIMESTAMP", |
| 176 | + "TIMESTAMP": "TIMESTAMP", |
| 177 | + "BOOLEAN": "BOOLEAN", |
| 178 | + "TINYINT(1)": "BOOLEAN", |
| 179 | + "BLOB": "BLOB", |
| 180 | + "JSON": "LONGVARCHAR", |
| 181 | + } |
| 182 | + |
| 183 | + |
| 184 | +# ============================================================ |
| 185 | +# PostgreSQL |
| 186 | +# ============================================================ |
| 187 | + |
| 188 | + |
| 189 | +class PostgreSQLDialect(DialectAdapter): |
| 190 | + """PostgreSQL 12+ 方言。 |
| 191 | +
|
| 192 | + 主要差异 vs MySQL: |
| 193 | + - 整数族用 INT2/INT4/INT8 (官方别名 SMALLINT/INTEGER/BIGINT 也支持) |
| 194 | + - SERIAL/BIGSERIAL: 自增列,JDBC 端按 Integer/Long 处理 |
| 195 | + - BOOLEAN 原生支持 (不需要 TINYINT(1) hack) |
| 196 | + - BYTEA 替代 BLOB |
| 197 | + - JSONB 推荐 (二进制 JSON,带索引能力);JSON 也保留 |
| 198 | + - UUID 原生支持 |
| 199 | + - TIMESTAMPTZ → OffsetDateTime (跨时区场景必须保留时区) |
| 200 | + - "CHARACTER VARYING" 是 VARCHAR 的官方全名 |
| 201 | + """ |
| 202 | + |
| 203 | + name = "postgresql" |
| 204 | + |
| 205 | + @property |
| 206 | + def type_to_java(self) -> Dict[str, str]: |
| 207 | + return { |
| 208 | + # 整数 |
| 209 | + "INT2": "Short", |
| 210 | + "SMALLINT": "Short", |
| 211 | + "INT4": "Integer", |
| 212 | + "INT": "Integer", |
| 213 | + "INTEGER": "Integer", |
| 214 | + "INT8": "Long", |
| 215 | + "BIGINT": "Long", |
| 216 | + # SERIAL 系列 (PG 自增惯例) - JDBC 上和普通整数一致 |
| 217 | + "SMALLSERIAL": "Short", |
| 218 | + "SERIAL": "Integer", |
| 219 | + "BIGSERIAL": "Long", |
| 220 | + # 浮点 |
| 221 | + "REAL": "Float", |
| 222 | + "FLOAT4": "Float", |
| 223 | + "DOUBLE PRECISION": "Double", |
| 224 | + "FLOAT8": "Double", |
| 225 | + "NUMERIC": "BigDecimal", |
| 226 | + "DECIMAL": "BigDecimal", |
| 227 | + "MONEY": "BigDecimal", |
| 228 | + # 字符串 |
| 229 | + "CHAR": "String", |
| 230 | + "CHARACTER": "String", |
| 231 | + "VARCHAR": "String", |
| 232 | + "CHARACTER VARYING": "String", |
| 233 | + "TEXT": "String", |
| 234 | + "BPCHAR": "String", # internal name for CHAR |
| 235 | + # 日期 |
| 236 | + "DATE": "LocalDate", |
| 237 | + "TIME": "LocalTime", |
| 238 | + "TIMETZ": "OffsetTime", |
| 239 | + "TIMESTAMP": "LocalDateTime", |
| 240 | + "TIMESTAMPTZ": "OffsetDateTime", # 跨时区必须 OffsetDateTime |
| 241 | + "TIMESTAMP WITH TIME ZONE": "OffsetDateTime", |
| 242 | + # 布尔 |
| 243 | + "BOOL": "Boolean", |
| 244 | + "BOOLEAN": "Boolean", |
| 245 | + # 二进制 |
| 246 | + "BYTEA": "byte[]", |
| 247 | + # JSON |
| 248 | + "JSON": "String", |
| 249 | + "JSONB": "String", |
| 250 | + # UUID |
| 251 | + "UUID": "String", |
| 252 | + # 网络 |
| 253 | + "INET": "String", |
| 254 | + "CIDR": "String", |
| 255 | + # 数组占位 — Java 端建议 String,具体由模板决定 |
| 256 | + "ARRAY": "String", |
| 257 | + } |
| 258 | + |
| 259 | + @property |
| 260 | + def type_to_jdbc(self) -> Dict[str, str]: |
| 261 | + return { |
| 262 | + "INT2": "SMALLINT", |
| 263 | + "SMALLINT": "SMALLINT", |
| 264 | + "INT4": "INTEGER", |
| 265 | + "INT": "INTEGER", |
| 266 | + "INTEGER": "INTEGER", |
| 267 | + "INT8": "BIGINT", |
| 268 | + "BIGINT": "BIGINT", |
| 269 | + "SMALLSERIAL": "SMALLINT", |
| 270 | + "SERIAL": "INTEGER", |
| 271 | + "BIGSERIAL": "BIGINT", |
| 272 | + "REAL": "REAL", |
| 273 | + "FLOAT4": "REAL", |
| 274 | + "DOUBLE PRECISION": "DOUBLE", |
| 275 | + "FLOAT8": "DOUBLE", |
| 276 | + "NUMERIC": "NUMERIC", |
| 277 | + "DECIMAL": "DECIMAL", |
| 278 | + "MONEY": "DECIMAL", |
| 279 | + "CHAR": "CHAR", |
| 280 | + "CHARACTER": "CHAR", |
| 281 | + "BPCHAR": "CHAR", |
| 282 | + "VARCHAR": "VARCHAR", |
| 283 | + "CHARACTER VARYING": "VARCHAR", |
| 284 | + "TEXT": "LONGVARCHAR", |
| 285 | + "DATE": "DATE", |
| 286 | + "TIME": "TIME", |
| 287 | + "TIMETZ": "TIME_WITH_TIMEZONE", |
| 288 | + "TIMESTAMP": "TIMESTAMP", |
| 289 | + "TIMESTAMPTZ": "TIMESTAMP_WITH_TIMEZONE", |
| 290 | + "TIMESTAMP WITH TIME ZONE": "TIMESTAMP_WITH_TIMEZONE", |
| 291 | + "BOOL": "BOOLEAN", |
| 292 | + "BOOLEAN": "BOOLEAN", |
| 293 | + "BYTEA": "BINARY", |
| 294 | + "JSON": "OTHER", |
| 295 | + "JSONB": "OTHER", |
| 296 | + "UUID": "OTHER", |
| 297 | + "INET": "OTHER", |
| 298 | + "CIDR": "OTHER", |
| 299 | + } |
| 300 | + |
| 301 | + |
| 302 | +# ============================================================ |
| 303 | +# Registry |
| 304 | +# ============================================================ |
| 305 | + |
| 306 | + |
| 307 | +_REGISTRY: Dict[str, DialectAdapter] = { |
| 308 | + "mysql": MySQLDialect(), |
| 309 | + "postgresql": PostgreSQLDialect(), |
| 310 | +} |
| 311 | + |
| 312 | + |
| 313 | +def get_dialect(db_type: str) -> DialectAdapter: |
| 314 | + """根据 DatabaseType 字符串 (mysql / postgresql / ...) 取适配器。 |
| 315 | +
|
| 316 | + 未识别的 db_type 退回 MySQL — 保持向后兼容,避免老调用方崩。 |
| 317 | + """ |
| 318 | + return _REGISTRY.get(db_type.lower(), _REGISTRY["mysql"]) |
| 319 | + |
| 320 | + |
| 321 | +def list_supported_dialects() -> list[str]: |
| 322 | + return sorted(_REGISTRY.keys()) |
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