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Change any interval unit of minute to five_minute.

 1"""Change any interval unit of minute to five_minute."""
 2
 3import json
 4
 5import pandas as pd
 6from sqlglot import exp
 7
 8from sqlmesh.utils.migration import index_text_type
 9
10
11def migrate(state_sync, **kwargs):  # type: ignore
12    engine_adapter = state_sync.engine_adapter
13    schema = state_sync.schema
14    snapshots_table = "_snapshots"
15    if schema:
16        snapshots_table = f"{schema}.{snapshots_table}"
17
18    new_snapshots = []
19
20    for name, identifier, version, snapshot, kind_name in engine_adapter.fetchall(
21        exp.select("name", "identifier", "version", "snapshot", "kind_name").from_(snapshots_table),
22        quote_identifiers=True,
23    ):
24        parsed_snapshot = json.loads(snapshot)
25
26        node = parsed_snapshot["node"]
27
28        if node.get("interval_unit") == "minute":
29            node["interval_unit"] = "five_minute"
30
31        new_snapshots.append(
32            {
33                "name": name,
34                "identifier": identifier,
35                "version": version,
36                "snapshot": json.dumps(parsed_snapshot),
37                "kind_name": kind_name,
38            }
39        )
40
41    if new_snapshots:
42        engine_adapter.delete_from(snapshots_table, "TRUE")
43
44        index_type = index_text_type(engine_adapter.dialect)
45
46        engine_adapter.insert_append(
47            snapshots_table,
48            pd.DataFrame(new_snapshots),
49            columns_to_types={
50                "name": exp.DataType.build(index_type),
51                "identifier": exp.DataType.build(index_type),
52                "version": exp.DataType.build(index_type),
53                "snapshot": exp.DataType.build("text"),
54                "kind_name": exp.DataType.build(index_type),
55            },
56        )
def migrate(state_sync, **kwargs): 
12def migrate(state_sync, **kwargs):  # type: ignore
13    engine_adapter = state_sync.engine_adapter
14    schema = state_sync.schema
15    snapshots_table = "_snapshots"
16    if schema:
17        snapshots_table = f"{schema}.{snapshots_table}"
18
19    new_snapshots = []
20
21    for name, identifier, version, snapshot, kind_name in engine_adapter.fetchall(
22        exp.select("name", "identifier", "version", "snapshot", "kind_name").from_(snapshots_table),
23        quote_identifiers=True,
24    ):
25        parsed_snapshot = json.loads(snapshot)
26
27        node = parsed_snapshot["node"]
28
29        if node.get("interval_unit") == "minute":
30            node["interval_unit"] = "five_minute"
31
32        new_snapshots.append(
33            {
34                "name": name,
35                "identifier": identifier,
36                "version": version,
37                "snapshot": json.dumps(parsed_snapshot),
38                "kind_name": kind_name,
39            }
40        )
41
42    if new_snapshots:
43        engine_adapter.delete_from(snapshots_table, "TRUE")
44
45        index_type = index_text_type(engine_adapter.dialect)
46
47        engine_adapter.insert_append(
48            snapshots_table,
49            pd.DataFrame(new_snapshots),
50            columns_to_types={
51                "name": exp.DataType.build(index_type),
52                "identifier": exp.DataType.build(index_type),
53                "version": exp.DataType.build(index_type),
54                "snapshot": exp.DataType.build("text"),
55                "kind_name": exp.DataType.build(index_type),
56            },
57        )