File size: 7,393 Bytes
6bff5d9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0721bb4
 
 
 
 
 
6bff5d9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0721bb4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6bff5d9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
"""IRValidator — checks a QueryIR against a user's catalog.

See ARCHITECTURE.md §7 for the validation rules. On failure, the planner
is re-prompted with the error context (max 3 retries) — error messages
must therefore be specific enough that the LLM can self-correct.
"""

from ...catalog.models import Catalog, Column, Source, Table
from .models import QueryIR
from .operators import (
    ALLOWED_AGG_FNS,
    ALLOWED_FILTER_OPS,
    LIMIT_HARD_CAP,
    TYPE_COMPATIBILITY,
)

_NULLARY_FILTER_OPS = frozenset({"is_null", "is_not_null"})


class IRValidationError(Exception):
    pass


class IRValidator:
    """Reject IRs that reference unknown sources/tables/columns or use disallowed ops.

    Rules:
    - source_id exists in catalog for this user
    - table_id belongs to that source
    - every column_id exists in that table
    - every agg.fn and filter.op is whitelisted (see operators.py)
    - value_type consistent with column.data_type (TYPE_COMPATIBILITY)
    - limit positive int, ≤ LIMIT_HARD_CAP
    """

    def validate(self, ir: QueryIR, catalog: Catalog) -> None:
        source = self._find_source(catalog, ir.source_id)
        base_table = self._find_table(source, ir.table_id)
        # Columns available to select/filter/group/order — grows as joins are added.
        columns_by_id: dict[str, Column] = {c.column_id: c for c in base_table.columns}

        if ir.joins:
            self._validate_joins(ir, source, columns_by_id)

        select_aliases: set[str] = set()
        for i, item in enumerate(ir.select):
            where = f"select[{i}]"
            if item.kind == "column":
                self._require_column(columns_by_id, item.column_id, where)
            else:  # "agg"
                if item.fn not in ALLOWED_AGG_FNS:
                    raise IRValidationError(
                        f"{where}.fn: must be in {sorted(ALLOWED_AGG_FNS)}, "
                        f"got {item.fn!r}"
                    )
                if item.column_id is not None:
                    self._require_column(columns_by_id, item.column_id, where)
                elif item.fn != "count":
                    raise IRValidationError(
                        f"{where}.fn={item.fn!r} requires a column_id "
                        "(only 'count' may omit it for COUNT(*))"
                    )
            if item.alias:
                select_aliases.add(item.alias)

        for i, f in enumerate(ir.filters):
            where = f"filters[{i}]"
            col = self._require_column(columns_by_id, f.column_id, where)
            if f.op not in ALLOWED_FILTER_OPS:
                raise IRValidationError(
                    f"{where}.op: must be in {sorted(ALLOWED_FILTER_OPS)}, "
                    f"got {f.op!r}"
                )
            if f.op not in _NULLARY_FILTER_OPS:
                allowed = TYPE_COMPATIBILITY.get(col.data_type, frozenset())
                if f.value_type not in allowed:
                    raise IRValidationError(
                        f"{where}: value_type {f.value_type!r} incompatible with "
                        f"column.data_type {col.data_type!r} "
                        f"(allowed: {sorted(allowed)})"
                    )

        for i, col_id in enumerate(ir.group_by):
            self._require_column(columns_by_id, col_id, f"group_by[{i}]")

        for i, ob in enumerate(ir.order_by):
            if ob.column_id not in columns_by_id and ob.column_id not in select_aliases:
                raise IRValidationError(
                    f"order_by[{i}].column_id: {ob.column_id!r} not found in table "
                    f"{ir.table_id!r} columns or select aliases "
                    f"(known columns: {sorted(columns_by_id.keys())}, "
                    f"aliases: {sorted(select_aliases)})"
                )

        if ir.limit is not None:
            if ir.limit <= 0:
                raise IRValidationError(f"limit must be positive, got {ir.limit}")
            if ir.limit > LIMIT_HARD_CAP:
                raise IRValidationError(
                    f"limit {ir.limit} exceeds hard cap {LIMIT_HARD_CAP}"
                )

    def _validate_joins(
        self, ir: QueryIR, source: Source, columns_by_id: dict[str, Column]
    ) -> None:
        """Validate joins and grow `columns_by_id` with each joined table's columns.

        Joins are DB-only in v1; each join's column pair must be a declared foreign
        key, the left column must already be in the query, the right in the target.
        """
        if source.source_type != "schema":
            raise IRValidationError(
                f"joins are only supported on database sources in v1; source "
                f"{ir.source_id!r} is {source.source_type!r}"
            )
        fk_pairs = self._fk_pairs(source)
        for i, j in enumerate(ir.joins):
            where = f"joins[{i}]"
            target = self._find_table(source, j.target_table_id)
            target_cols = {c.column_id: c for c in target.columns}
            if j.left_column_id not in columns_by_id:
                raise IRValidationError(
                    f"{where}.left_column_id {j.left_column_id!r} is not in the query "
                    "so far (base table or an earlier join)"
                )
            if j.right_column_id not in target_cols:
                raise IRValidationError(
                    f"{where}.right_column_id {j.right_column_id!r} not in target table "
                    f"{j.target_table_id!r}"
                )
            if frozenset((j.left_column_id, j.right_column_id)) not in fk_pairs:
                raise IRValidationError(
                    f"{where}: ({j.left_column_id!r}, {j.right_column_id!r}) is not a "
                    f"declared foreign key in source {ir.source_id!r} — only FK-backed "
                    "joins are allowed"
                )
            columns_by_id.update(target_cols)

    @staticmethod
    def _fk_pairs(source: Source) -> set[frozenset[str]]:
        """All declared FK column pairs in the source, as unordered {col, col} sets."""
        pairs: set[frozenset[str]] = set()
        for t in source.tables:
            for fk in t.foreign_keys:
                pairs.add(frozenset((fk.column_id, fk.target_column_id)))
        return pairs

    @staticmethod
    def _find_source(catalog: Catalog, source_id: str) -> Source:
        for s in catalog.sources:
            if s.source_id == source_id:
                return s
        raise IRValidationError(
            f"source_id {source_id!r} not in catalog "
            f"(known: {[s.source_id for s in catalog.sources]})"
        )

    @staticmethod
    def _find_table(source: Source, table_id: str) -> Table:
        for t in source.tables:
            if t.table_id == table_id:
                return t
        raise IRValidationError(
            f"table_id {table_id!r} not in source {source.source_id!r} "
            f"(known: {[t.table_id for t in source.tables]})"
        )

    @staticmethod
    def _require_column(
        columns_by_id: dict[str, Column], col_id: str, where: str
    ) -> Column:
        col = columns_by_id.get(col_id)
        if col is None:
            raise IRValidationError(
                f"{where}.column_id: {col_id!r} not in table "
                f"(known: {sorted(columns_by_id.keys())})"
            )
        return col