wg-backend-django/dell-env/lib/python3.11/site-packages/django/db/backends/sqlite3/introspection.py
2023-10-30 14:40:43 +07:00

439 lines
17 KiB
Python

from collections import namedtuple
import sqlparse
from django.db import DatabaseError
from django.db.backends.base.introspection import BaseDatabaseIntrospection
from django.db.backends.base.introspection import FieldInfo as BaseFieldInfo
from django.db.backends.base.introspection import TableInfo
from django.db.models import Index
from django.utils.regex_helper import _lazy_re_compile
FieldInfo = namedtuple(
"FieldInfo", BaseFieldInfo._fields + ("pk", "has_json_constraint")
)
field_size_re = _lazy_re_compile(r"^\s*(?:var)?char\s*\(\s*(\d+)\s*\)\s*$")
def get_field_size(name):
"""Extract the size number from a "varchar(11)" type name"""
m = field_size_re.search(name)
return int(m[1]) if m else None
# This light wrapper "fakes" a dictionary interface, because some SQLite data
# types include variables in them -- e.g. "varchar(30)" -- and can't be matched
# as a simple dictionary lookup.
class FlexibleFieldLookupDict:
# Maps SQL types to Django Field types. Some of the SQL types have multiple
# entries here because SQLite allows for anything and doesn't normalize the
# field type; it uses whatever was given.
base_data_types_reverse = {
"bool": "BooleanField",
"boolean": "BooleanField",
"smallint": "SmallIntegerField",
"smallint unsigned": "PositiveSmallIntegerField",
"smallinteger": "SmallIntegerField",
"int": "IntegerField",
"integer": "IntegerField",
"bigint": "BigIntegerField",
"integer unsigned": "PositiveIntegerField",
"bigint unsigned": "PositiveBigIntegerField",
"decimal": "DecimalField",
"real": "FloatField",
"text": "TextField",
"char": "CharField",
"varchar": "CharField",
"blob": "BinaryField",
"date": "DateField",
"datetime": "DateTimeField",
"time": "TimeField",
}
def __getitem__(self, key):
key = key.lower().split("(", 1)[0].strip()
return self.base_data_types_reverse[key]
class DatabaseIntrospection(BaseDatabaseIntrospection):
data_types_reverse = FlexibleFieldLookupDict()
def get_field_type(self, data_type, description):
field_type = super().get_field_type(data_type, description)
if description.pk and field_type in {
"BigIntegerField",
"IntegerField",
"SmallIntegerField",
}:
# No support for BigAutoField or SmallAutoField as SQLite treats
# all integer primary keys as signed 64-bit integers.
return "AutoField"
if description.has_json_constraint:
return "JSONField"
return field_type
def get_table_list(self, cursor):
"""Return a list of table and view names in the current database."""
# Skip the sqlite_sequence system table used for autoincrement key
# generation.
cursor.execute(
"""
SELECT name, type FROM sqlite_master
WHERE type in ('table', 'view') AND NOT name='sqlite_sequence'
ORDER BY name"""
)
return [TableInfo(row[0], row[1][0]) for row in cursor.fetchall()]
def get_table_description(self, cursor, table_name):
"""
Return a description of the table with the DB-API cursor.description
interface.
"""
cursor.execute(
"PRAGMA table_info(%s)" % self.connection.ops.quote_name(table_name)
)
table_info = cursor.fetchall()
if not table_info:
raise DatabaseError(f"Table {table_name} does not exist (empty pragma).")
collations = self._get_column_collations(cursor, table_name)
json_columns = set()
if self.connection.features.can_introspect_json_field:
for line in table_info:
column = line[1]
json_constraint_sql = '%%json_valid("%s")%%' % column
has_json_constraint = cursor.execute(
"""
SELECT sql
FROM sqlite_master
WHERE
type = 'table' AND
name = %s AND
sql LIKE %s
""",
[table_name, json_constraint_sql],
).fetchone()
if has_json_constraint:
json_columns.add(column)
return [
FieldInfo(
name,
data_type,
None,
get_field_size(data_type),
None,
None,
not notnull,
default,
collations.get(name),
pk == 1,
name in json_columns,
)
for cid, name, data_type, notnull, default, pk in table_info
]
def get_sequences(self, cursor, table_name, table_fields=()):
pk_col = self.get_primary_key_column(cursor, table_name)
return [{"table": table_name, "column": pk_col}]
def get_relations(self, cursor, table_name):
"""
Return a dictionary of {column_name: (ref_column_name, ref_table_name)}
representing all foreign keys in the given table.
"""
cursor.execute(
"PRAGMA foreign_key_list(%s)" % self.connection.ops.quote_name(table_name)
)
return {
column_name: (ref_column_name, ref_table_name)
for (
_,
_,
ref_table_name,
column_name,
ref_column_name,
*_,
) in cursor.fetchall()
}
def get_primary_key_column(self, cursor, table_name):
"""Return the column name of the primary key for the given table."""
cursor.execute(
"PRAGMA table_info(%s)" % self.connection.ops.quote_name(table_name)
)
for _, name, *_, pk in cursor.fetchall():
if pk:
return name
return None
def _parse_column_or_constraint_definition(self, tokens, columns):
token = None
is_constraint_definition = None
field_name = None
constraint_name = None
unique = False
unique_columns = []
check = False
check_columns = []
braces_deep = 0
for token in tokens:
if token.match(sqlparse.tokens.Punctuation, "("):
braces_deep += 1
elif token.match(sqlparse.tokens.Punctuation, ")"):
braces_deep -= 1
if braces_deep < 0:
# End of columns and constraints for table definition.
break
elif braces_deep == 0 and token.match(sqlparse.tokens.Punctuation, ","):
# End of current column or constraint definition.
break
# Detect column or constraint definition by first token.
if is_constraint_definition is None:
is_constraint_definition = token.match(
sqlparse.tokens.Keyword, "CONSTRAINT"
)
if is_constraint_definition:
continue
if is_constraint_definition:
# Detect constraint name by second token.
if constraint_name is None:
if token.ttype in (sqlparse.tokens.Name, sqlparse.tokens.Keyword):
constraint_name = token.value
elif token.ttype == sqlparse.tokens.Literal.String.Symbol:
constraint_name = token.value[1:-1]
# Start constraint columns parsing after UNIQUE keyword.
if token.match(sqlparse.tokens.Keyword, "UNIQUE"):
unique = True
unique_braces_deep = braces_deep
elif unique:
if unique_braces_deep == braces_deep:
if unique_columns:
# Stop constraint parsing.
unique = False
continue
if token.ttype in (sqlparse.tokens.Name, sqlparse.tokens.Keyword):
unique_columns.append(token.value)
elif token.ttype == sqlparse.tokens.Literal.String.Symbol:
unique_columns.append(token.value[1:-1])
else:
# Detect field name by first token.
if field_name is None:
if token.ttype in (sqlparse.tokens.Name, sqlparse.tokens.Keyword):
field_name = token.value
elif token.ttype == sqlparse.tokens.Literal.String.Symbol:
field_name = token.value[1:-1]
if token.match(sqlparse.tokens.Keyword, "UNIQUE"):
unique_columns = [field_name]
# Start constraint columns parsing after CHECK keyword.
if token.match(sqlparse.tokens.Keyword, "CHECK"):
check = True
check_braces_deep = braces_deep
elif check:
if check_braces_deep == braces_deep:
if check_columns:
# Stop constraint parsing.
check = False
continue
if token.ttype in (sqlparse.tokens.Name, sqlparse.tokens.Keyword):
if token.value in columns:
check_columns.append(token.value)
elif token.ttype == sqlparse.tokens.Literal.String.Symbol:
if token.value[1:-1] in columns:
check_columns.append(token.value[1:-1])
unique_constraint = (
{
"unique": True,
"columns": unique_columns,
"primary_key": False,
"foreign_key": None,
"check": False,
"index": False,
}
if unique_columns
else None
)
check_constraint = (
{
"check": True,
"columns": check_columns,
"primary_key": False,
"unique": False,
"foreign_key": None,
"index": False,
}
if check_columns
else None
)
return constraint_name, unique_constraint, check_constraint, token
def _parse_table_constraints(self, sql, columns):
# Check constraint parsing is based of SQLite syntax diagram.
# https://www.sqlite.org/syntaxdiagrams.html#table-constraint
statement = sqlparse.parse(sql)[0]
constraints = {}
unnamed_constrains_index = 0
tokens = (token for token in statement.flatten() if not token.is_whitespace)
# Go to columns and constraint definition
for token in tokens:
if token.match(sqlparse.tokens.Punctuation, "("):
break
# Parse columns and constraint definition
while True:
(
constraint_name,
unique,
check,
end_token,
) = self._parse_column_or_constraint_definition(tokens, columns)
if unique:
if constraint_name:
constraints[constraint_name] = unique
else:
unnamed_constrains_index += 1
constraints[
"__unnamed_constraint_%s__" % unnamed_constrains_index
] = unique
if check:
if constraint_name:
constraints[constraint_name] = check
else:
unnamed_constrains_index += 1
constraints[
"__unnamed_constraint_%s__" % unnamed_constrains_index
] = check
if end_token.match(sqlparse.tokens.Punctuation, ")"):
break
return constraints
def get_constraints(self, cursor, table_name):
"""
Retrieve any constraints or keys (unique, pk, fk, check, index) across
one or more columns.
"""
constraints = {}
# Find inline check constraints.
try:
table_schema = cursor.execute(
"SELECT sql FROM sqlite_master WHERE type='table' and name=%s"
% (self.connection.ops.quote_name(table_name),)
).fetchone()[0]
except TypeError:
# table_name is a view.
pass
else:
columns = {
info.name for info in self.get_table_description(cursor, table_name)
}
constraints.update(self._parse_table_constraints(table_schema, columns))
# Get the index info
cursor.execute(
"PRAGMA index_list(%s)" % self.connection.ops.quote_name(table_name)
)
for row in cursor.fetchall():
# SQLite 3.8.9+ has 5 columns, however older versions only give 3
# columns. Discard last 2 columns if there.
number, index, unique = row[:3]
cursor.execute(
"SELECT sql FROM sqlite_master "
"WHERE type='index' AND name=%s" % self.connection.ops.quote_name(index)
)
# There's at most one row.
(sql,) = cursor.fetchone() or (None,)
# Inline constraints are already detected in
# _parse_table_constraints(). The reasons to avoid fetching inline
# constraints from `PRAGMA index_list` are:
# - Inline constraints can have a different name and information
# than what `PRAGMA index_list` gives.
# - Not all inline constraints may appear in `PRAGMA index_list`.
if not sql:
# An inline constraint
continue
# Get the index info for that index
cursor.execute(
"PRAGMA index_info(%s)" % self.connection.ops.quote_name(index)
)
for index_rank, column_rank, column in cursor.fetchall():
if index not in constraints:
constraints[index] = {
"columns": [],
"primary_key": False,
"unique": bool(unique),
"foreign_key": None,
"check": False,
"index": True,
}
constraints[index]["columns"].append(column)
# Add type and column orders for indexes
if constraints[index]["index"]:
# SQLite doesn't support any index type other than b-tree
constraints[index]["type"] = Index.suffix
orders = self._get_index_columns_orders(sql)
if orders is not None:
constraints[index]["orders"] = orders
# Get the PK
pk_column = self.get_primary_key_column(cursor, table_name)
if pk_column:
# SQLite doesn't actually give a name to the PK constraint,
# so we invent one. This is fine, as the SQLite backend never
# deletes PK constraints by name, as you can't delete constraints
# in SQLite; we remake the table with a new PK instead.
constraints["__primary__"] = {
"columns": [pk_column],
"primary_key": True,
"unique": False, # It's not actually a unique constraint.
"foreign_key": None,
"check": False,
"index": False,
}
relations = enumerate(self.get_relations(cursor, table_name).items())
constraints.update(
{
f"fk_{index}": {
"columns": [column_name],
"primary_key": False,
"unique": False,
"foreign_key": (ref_table_name, ref_column_name),
"check": False,
"index": False,
}
for index, (column_name, (ref_column_name, ref_table_name)) in relations
}
)
return constraints
def _get_index_columns_orders(self, sql):
tokens = sqlparse.parse(sql)[0]
for token in tokens:
if isinstance(token, sqlparse.sql.Parenthesis):
columns = str(token).strip("()").split(", ")
return ["DESC" if info.endswith("DESC") else "ASC" for info in columns]
return None
def _get_column_collations(self, cursor, table_name):
row = cursor.execute(
"""
SELECT sql
FROM sqlite_master
WHERE type = 'table' AND name = %s
""",
[table_name],
).fetchone()
if not row:
return {}
sql = row[0]
columns = str(sqlparse.parse(sql)[0][-1]).strip("()").split(", ")
collations = {}
for column in columns:
tokens = column[1:].split()
column_name = tokens[0].strip('"')
for index, token in enumerate(tokens):
if token == "COLLATE":
collation = tokens[index + 1]
break
else:
collation = None
collations[column_name] = collation
return collations