AlkantarClanX12
Your IP : 3.133.108.172
"""Automatically create migrations."""
from __future__ import annotations
from collections.abc import Hashable
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Final,
Iterable,
List,
Optional,
Type,
Union,
cast,
)
import peewee as pw
from playhouse.reflection import Column as VanilaColumn
if TYPE_CHECKING:
from .migrator import Migrator
from .types import TModelType, TParams
INDENT: Final = " "
NEWLINE: Final = "\n" + INDENT
FIELD_MODULES_MAP: Final = {
"ArrayField": "pw_pext",
"BinaryJSONField": "pw_pext",
"DateTimeTZField": "pw_pext",
"HStoreField": "pw_pext",
"IntervalField": "pw_pext",
"JSONField": "pw_pext",
"TSVectorField": "pw_pext",
}
PW_MODULES: Final = "playhouse.postgres_ext", "playhouse.fields", "peewee"
def fk_to_params(field: pw.ForeignKeyField) -> TParams:
"""Get params from the given fk."""
params = {}
if field.on_delete is not None:
params["on_delete"] = f"'{field.on_delete}'"
if field.on_update is not None:
params["on_update"] = f"'{field.on_update}'"
return params
def dtf_to_params(field: pw.DateTimeField) -> TParams:
"""Get params from the given datetime field."""
params = {}
if not isinstance(field.formats, list):
params["formats"] = field.formats
return params
FIELD_TO_PARAMS: Dict[Type[pw.Field], Callable[[Any], TParams]] = {
pw.CharField: lambda f: {"max_length": f.max_length},
pw.DecimalField: lambda f: {
"max_digits": f.max_digits,
"decimal_places": f.decimal_places,
"auto_round": f.auto_round,
"rounding": f.rounding,
},
pw.ForeignKeyField: fk_to_params,
pw.DateTimeField: dtf_to_params,
}
class Column(VanilaColumn):
"""Get field's migration parameters."""
field_class: Type[pw.Field]
def __init__(self, field: pw.Field, **kwargs):
super(Column, self).__init__(
field.name,
find_field_type(field),
field.field_type,
field.null,
primary_key=field.primary_key,
column_name=field.column_name,
index=field.index,
unique=field.unique,
extra_parameters=None,
)
if field.default is not None and not callable(field.default):
self.default = repr(field.default)
if self.field_class in FIELD_TO_PARAMS:
if self.extra_parameters is None: # type: ignore[has-type]
self.extra_parameters = {}
self.extra_parameters.update(FIELD_TO_PARAMS[self.field_class](field))
self.rel_model = None
self.to_field = None
if isinstance(field, pw.ForeignKeyField):
self.to_field = field.rel_field.name
self.rel_model = (
"'self'"
if field.rel_model == field.model
else "migrator.orm['%s']" % field.rel_model._meta.table_name
)
def get_field(self, space: str = " ") -> str:
"""Generate the field definition for this column."""
field = super(Column, self).get_field()
module = FIELD_MODULES_MAP.get(self.field_class.__name__, "pw")
name, _, field = [s and s.strip() for s in field.partition("=")]
return "{name}{space}={space}{module}.{field}".format(
name=name, field=field, space=space, module=module
)
def get_field_parameters(self) -> TParams:
"""Generate parameters for self field."""
params = super(Column, self).get_field_parameters()
if self.default is not None:
params["default"] = self.default
return params
def diff_one(model1: TModelType, model2: TModelType, **kwargs) -> List[str]: # noqa:
"""Find difference between given peewee models."""
changes = []
meta1, meta2 = model1._meta, model2._meta # type: ignore[]
field_names1 = meta1.fields
field_names2 = meta2.fields
# Add fields
names1 = set(field_names1) - set(field_names2)
if names1:
fields = [field_names1[name] for name in names1]
changes.append(create_fields(model1, *fields, **kwargs))
# Drop fields
names2 = set(field_names2) - set(field_names1)
if names2:
changes.append(drop_fields(model1, *names2))
# Change fields
fields_ = []
nulls_ = []
indexes_ = []
for name in set(field_names1) - names1 - names2:
field1, field2 = field_names1[name], field_names2[name]
diff = compare_fields(field1, field2)
null = diff.pop("null", None)
index = diff.pop("index", None)
if diff:
fields_.append(field1)
if null is not None:
nulls_.append((name, null))
if index is not None:
indexes_.append((name, index[0], index[1]))
if fields_:
changes.append(change_fields(model1, *fields_, **kwargs))
for name, null in nulls_:
changes.append(change_not_null(model1, name, null=null))
for name, index, unique in indexes_:
if index is True or unique is True:
if field_names2[name].unique or field_names2[name].index:
changes.append(drop_index(model1, name))
changes.append(add_index(model1, name, unique=unique))
else:
changes.append(drop_index(model1, name))
# Check additional compound indexes
indexes1 = meta1.indexes
indexes2 = meta2.indexes
# Drop compound indexes
indexes_to_drop = set(indexes2) - set(indexes1)
for index in indexes_to_drop:
if isinstance(index[0], (list, tuple)) and len(index[0]) > 1:
changes.append(drop_index(model1, name=index[0]))
# Add compound indexes
indexes_to_add = set(indexes1) - set(indexes2)
for index in indexes_to_add:
if isinstance(index[0], (list, tuple)) and len(index[0]) > 1:
changes.append(add_index(model1, name=index[0], unique=index[1]))
return changes
def diff_many(
models1: List[TModelType],
models2: List[TModelType],
migrator: Optional[Migrator] = None,
*,
reverse=False,
) -> List[str]:
"""Calculate changes for migrations from models2 to models1."""
models1 = cast(List["TModelType"], pw.sort_models(models1)) # type: ignore[]
models2 = cast(List["TModelType"], pw.sort_models(models2)) # type: ignore[]
if reverse:
models1 = list(reversed(models1))
models2 = list(reversed(models2))
models_map1 = {cast(str, m._meta.table_name): m for m in models1} # type: ignore[]
models_map2 = {cast(str, m._meta.table_name): m for m in models2} # type: ignore[]
changes: List[str] = []
for name, model1 in models_map1.items():
if name not in models_map2:
continue
changes.extend(diff_one(model1, models_map2[name], migrator=migrator))
# Add models
for name in [m for m in models_map1 if m not in models_map2]:
changes.append(create_model(models_map1[name], migrator=migrator))
# Remove models
for name in [m for m in models_map2 if m not in models_map1]:
changes.append(remove_model(models_map2[name]))
return changes
def model_to_code(model_cls: TModelType, **kwargs) -> str:
"""Generate migrations for the given model."""
template = "class {classname}(pw.Model):\n{fields}\n\n{meta}"
meta = model_cls._meta # type: ignore[]
fields = INDENT + NEWLINE.join(
[
field_to_code(field, **kwargs)
for field in meta.sorted_fields
if not (isinstance(field, pw.PrimaryKeyField) and field.name == "id")
]
)
meta = INDENT + NEWLINE.join(
filter(
None,
[
"class Meta:",
f'{INDENT}table_name = "{meta.table_name}"',
f'{INDENT}schema = "{meta.schema}"' if meta.schema else "",
(
f"{INDENT}primary_key = pw.CompositeKey{meta.primary_key.field_names!r}"
if isinstance(meta.primary_key, pw.CompositeKey)
else ""
),
f"{INDENT}indexes = {meta.indexes!r}" if meta.indexes else "",
],
)
)
return template.format(classname=model_cls.__name__, fields=fields, meta=meta)
def create_model(model_cls: TModelType, **kwargs) -> str:
"""Generate migrations to create model."""
return "@migrator.create_model\n" + model_to_code(model_cls, **kwargs)
def remove_model(model_cls: TModelType, **kwargs) -> str:
"""Generate migrations to remove model."""
meta = model_cls._meta # type: ignore[]
return "migrator.remove_model('%s')" % meta.table_name
def create_fields(model_cls: TModelType, *fields: pw.Field, **kwargs) -> str:
"""Generate migrations to add fields."""
meta = model_cls._meta # type: ignore[]
return "migrator.add_fields(%s'%s', %s)" % (
NEWLINE,
meta.table_name,
NEWLINE
+ ("," + NEWLINE).join([field_to_code(field, space=False, **kwargs) for field in fields]),
)
def drop_fields(model_cls: TModelType, *fields: pw.Field, **kwargs) -> str:
"""Generate migrations to remove fields."""
meta = model_cls._meta # type: ignore[]
return "migrator.remove_fields('%s', %s)" % (
meta.table_name,
", ".join(map(repr, fields)),
)
def field_to_code(field: pw.Field, *, space: bool = True, **kwargs) -> str:
"""Generate field description."""
col = Column(field, **kwargs)
return col.get_field(" " if space else "")
def compare_fields(field1: pw.Field, field2: pw.Field, **kwargs) -> Dict:
"""Find diffs between the given fields."""
ftype1, ftype2 = find_field_type(field1), find_field_type(field2)
if ftype1 != ftype2:
return {"cls": True}
params1 = field_to_params(field1)
params1["null"] = field1.null
params2 = field_to_params(field2)
params2["null"] = field2.null
return dict(set(params1.items()) - set(params2.items()))
def field_to_params(field: pw.Field, **kwargs) -> TParams:
"""Generate params for the given field."""
ftype = find_field_type(field)
params = FIELD_TO_PARAMS.get(ftype, lambda f: {})(field)
if (
field.default is not None
and not callable(field.default)
and isinstance(field.default, Hashable)
):
params["default"] = field.default
params["index"] = field.index and not field.unique, field.unique
params.pop("backref", None) # Ignore backref
return params
def change_fields(model_cls: TModelType, *fields: pw.Field, **kwargs) -> str:
"""Generate migrations to change fields."""
meta = model_cls._meta # type: ignore[]
return "migrator.change_fields('%s', %s)" % (
meta.table_name,
("," + NEWLINE).join([field_to_code(f, space=False) for f in fields]),
)
def change_not_null(model_cls: TModelType, name: str, *, null: bool) -> str:
"""Generate migrations."""
meta = model_cls._meta # type: ignore[]
operation = "drop_not_null" if null else "add_not_null"
return "migrator.%s('%s', %s)" % (operation, meta.table_name, repr(name))
def add_index(model_cls: TModelType, name: Union[str, Iterable[str]], *, unique: bool) -> str:
"""Generate migrations."""
meta = model_cls._meta # type: ignore[]
columns = repr(name).strip("()[]")
return f"migrator.add_index('{meta.table_name}', {columns}, unique={unique})"
def drop_index(model_cls: TModelType, name: Union[str, Iterable[str]]) -> str:
"""Generate migrations."""
meta = model_cls._meta # type: ignore[]
columns = repr(name).strip("()[]")
return f"migrator.drop_index('{meta.table_name}', {columns})"
def find_field_type(field: pw.Field) -> Type[pw.Field]:
ftype = type(field)
if ftype.__module__ not in PW_MODULES:
for cls in ftype.mro():
if cls.__module__ in PW_MODULES:
return cls
return ftype