Fix paths that have a Windows forward slash in them.
1"""Fix paths that have a Windows forward slash in them.""" 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 model = parsed_snapshot["model"] 26 python_env = model.get("python_env") 27 if python_env: 28 for py_definition in python_env.values(): 29 path = py_definition.get("path") 30 if path: 31 py_definition["path"] = path.replace("\\", "/") 32 33 new_snapshots.append( 34 { 35 "name": name, 36 "identifier": identifier, 37 "version": version, 38 "snapshot": json.dumps(parsed_snapshot), 39 "kind_name": kind_name, 40 } 41 ) 42 43 if new_snapshots: 44 engine_adapter.delete_from(snapshots_table, "TRUE") 45 46 index_type = index_text_type(engine_adapter.dialect) 47 48 engine_adapter.insert_append( 49 snapshots_table, 50 pd.DataFrame(new_snapshots), 51 columns_to_types={ 52 "name": exp.DataType.build(index_type), 53 "identifier": exp.DataType.build(index_type), 54 "version": exp.DataType.build(index_type), 55 "snapshot": exp.DataType.build("text"), 56 "kind_name": exp.DataType.build(index_type), 57 }, 58 )
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 model = parsed_snapshot["model"] 27 python_env = model.get("python_env") 28 if python_env: 29 for py_definition in python_env.values(): 30 path = py_definition.get("path") 31 if path: 32 py_definition["path"] = path.replace("\\", "/") 33 34 new_snapshots.append( 35 { 36 "name": name, 37 "identifier": identifier, 38 "version": version, 39 "snapshot": json.dumps(parsed_snapshot), 40 "kind_name": kind_name, 41 } 42 ) 43 44 if new_snapshots: 45 engine_adapter.delete_from(snapshots_table, "TRUE") 46 47 index_type = index_text_type(engine_adapter.dialect) 48 49 engine_adapter.insert_append( 50 snapshots_table, 51 pd.DataFrame(new_snapshots), 52 columns_to_types={ 53 "name": exp.DataType.build(index_type), 54 "identifier": exp.DataType.build(index_type), 55 "version": exp.DataType.build(index_type), 56 "snapshot": exp.DataType.build("text"), 57 "kind_name": exp.DataType.build(index_type), 58 }, 59 )