odoo_17.0.1/odoo/modules/registry.py

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# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
""" Models registries.
"""
from collections import defaultdict, deque
from collections.abc import Mapping
from contextlib import closing, contextmanager
from functools import partial
from operator import attrgetter
import inspect
import logging
import os
import threading
import time
import warnings
import psycopg2
import odoo
from odoo.modules.db import FunctionStatus
from odoo.osv.expression import get_unaccent_wrapper
from .. import SUPERUSER_ID
from odoo.sql_db import TestCursor
from odoo.tools import (
config, existing_tables, lazy_classproperty,
lazy_property, sql, Collector, OrderedSet, SQL,
format_frame
)
from odoo.tools.func import locked
from odoo.tools.lru import LRU
_logger = logging.getLogger(__name__)
_schema = logging.getLogger('odoo.schema')
_REGISTRY_CACHES = {
'default': 8192,
'assets': 512, # arbitrary
'templates': 1024, # arbitrary
'routing': 1024, # 2 entries per website
'routing.rewrites': 8192, # url_rewrite entries
'templates.cached_values': 2048, # arbitrary
}
# cache invalidation dependencies, as follows:
# { 'cache_key': ('cache_container_1', 'cache_container_3', ...) }
_CACHES_BY_KEY = {
'default': ('default', 'templates.cached_values'),
'assets': ('assets', 'templates.cached_values'),
'templates': ('templates', 'templates.cached_values'),
'routing': ('routing', 'routing.rewrites', 'templates.cached_values'),
}
class Registry(Mapping):
""" Model registry for a particular database.
The registry is essentially a mapping between model names and model classes.
There is one registry instance per database.
"""
_lock = threading.RLock()
_saved_lock = None
@lazy_classproperty
def registries(cls):
""" A mapping from database names to registries. """
size = config.get('registry_lru_size', None)
if not size:
# Size the LRU depending of the memory limits
if os.name != 'posix':
# cannot specify the memory limit soft on windows...
size = 42
else:
# A registry takes 10MB of memory on average, so we reserve
# 10Mb (registry) + 5Mb (working memory) per registry
avgsz = 15 * 1024 * 1024
size = int(config['limit_memory_soft'] / avgsz)
return LRU(size)
def __new__(cls, db_name):
""" Return the registry for the given database name."""
with cls._lock:
try:
return cls.registries[db_name]
except KeyError:
return cls.new(db_name)
finally:
# set db tracker - cleaned up at the WSGI dispatching phase in
# odoo.http.root
threading.current_thread().dbname = db_name
@classmethod
@locked
def new(cls, db_name, force_demo=False, status=None, update_module=False):
""" Create and return a new registry for the given database name. """
t0 = time.time()
registry = object.__new__(cls)
registry.init(db_name)
# Initializing a registry will call general code which will in
# turn call Registry() to obtain the registry being initialized.
# Make it available in the registries dictionary then remove it
# if an exception is raised.
cls.delete(db_name)
cls.registries[db_name] = registry # pylint: disable=unsupported-assignment-operation
try:
registry.setup_signaling()
# This should be a method on Registry
try:
odoo.modules.load_modules(registry, force_demo, status, update_module)
except Exception:
odoo.modules.reset_modules_state(db_name)
raise
except Exception:
_logger.exception('Failed to load registry')
del cls.registries[db_name] # pylint: disable=unsupported-delete-operation
raise
# load_modules() above can replace the registry by calling
# indirectly new() again (when modules have to be uninstalled).
# Yeah, crazy.
registry = cls.registries[db_name] # pylint: disable=unsubscriptable-object
registry._init = False
registry.ready = True
registry.registry_invalidated = bool(update_module)
registry.new = registry.init = registry.registries = None
_logger.info("Registry loaded in %.3fs", time.time() - t0)
return registry
def init(self, db_name):
self.models = {} # model name/model instance mapping
self._sql_constraints = set()
self._init = True
self._database_translated_fields = () # names of translated fields in database
self._assertion_report = odoo.tests.result.OdooTestResult()
self._fields_by_model = None
self._ordinary_tables = None
self._constraint_queue = deque()
self.__caches = {cache_name: LRU(cache_size) for cache_name, cache_size in _REGISTRY_CACHES.items()}
# modules fully loaded (maintained during init phase by `loading` module)
self._init_modules = set()
self.updated_modules = [] # installed/updated modules
self.loaded_xmlids = set()
self.db_name = db_name
self._db = odoo.sql_db.db_connect(db_name)
# cursor for test mode; None means "normal" mode
self.test_cr = None
self.test_lock = None
# Indicates that the registry is
self.loaded = False # whether all modules are loaded
self.ready = False # whether everything is set up
# field dependencies
self.field_depends = Collector()
self.field_depends_context = Collector()
self.field_inverses = Collector()
# cache of methods get_field_trigger_tree() and is_modifying_relations()
self._field_trigger_trees = {}
self._is_modifying_relations = {}
# Inter-process signaling:
# The `base_registry_signaling` sequence indicates the whole registry
# must be reloaded.
# The `base_cache_signaling sequence` indicates all caches must be
# invalidated (i.e. cleared).
self.registry_sequence = None
self.cache_sequences = {}
# Flags indicating invalidation of the registry or the cache.
self._invalidation_flags = threading.local()
with closing(self.cursor()) as cr:
self.has_unaccent = odoo.modules.db.has_unaccent(cr)
self.has_trigram = odoo.modules.db.has_trigram(cr)
@classmethod
@locked
def delete(cls, db_name):
""" Delete the registry linked to a given database. """
if db_name in cls.registries: # pylint: disable=unsupported-membership-test
del cls.registries[db_name] # pylint: disable=unsupported-delete-operation
@classmethod
@locked
def delete_all(cls):
""" Delete all the registries. """
cls.registries.clear()
#
# Mapping abstract methods implementation
# => mixin provides methods keys, items, values, get, __eq__, and __ne__
#
def __len__(self):
""" Return the size of the registry. """
return len(self.models)
def __iter__(self):
""" Return an iterator over all model names. """
return iter(self.models)
def __getitem__(self, model_name):
""" Return the model with the given name or raise KeyError if it doesn't exist."""
return self.models[model_name]
def __call__(self, model_name):
""" Same as ``self[model_name]``. """
return self.models[model_name]
def __setitem__(self, model_name, model):
""" Add or replace a model in the registry."""
self.models[model_name] = model
def __delitem__(self, model_name):
""" Remove a (custom) model from the registry. """
del self.models[model_name]
# the custom model can inherit from mixins ('mail.thread', ...)
for Model in self.models.values():
Model._inherit_children.discard(model_name)
def descendants(self, model_names, *kinds):
""" Return the models corresponding to ``model_names`` and all those
that inherit/inherits from them.
"""
assert all(kind in ('_inherit', '_inherits') for kind in kinds)
funcs = [attrgetter(kind + '_children') for kind in kinds]
models = OrderedSet()
queue = deque(model_names)
while queue:
model = self[queue.popleft()]
models.add(model._name)
for func in funcs:
queue.extend(func(model))
return models
def load(self, cr, module):
""" Load a given module in the registry, and return the names of the
modified models.
At the Python level, the modules are already loaded, but not yet on a
per-registry level. This method populates a registry with the given
modules, i.e. it instantiates all the classes of a the given module
and registers them in the registry.
"""
from .. import models
# clear cache to ensure consistency, but do not signal it
for cache in self.__caches.values():
cache.clear()
lazy_property.reset_all(self)
self._field_trigger_trees.clear()
self._is_modifying_relations.clear()
# Instantiate registered classes (via the MetaModel automatic discovery
# or via explicit constructor call), and add them to the pool.
model_names = []
for cls in models.MetaModel.module_to_models.get(module.name, []):
# models register themselves in self.models
model = cls._build_model(self, cr)
model_names.append(model._name)
return self.descendants(model_names, '_inherit', '_inherits')
@locked
def setup_models(self, cr):
""" Complete the setup of models.
This must be called after loading modules and before using the ORM.
"""
env = odoo.api.Environment(cr, SUPERUSER_ID, {})
env.invalidate_all()
# Uninstall registry hooks. Because of the condition, this only happens
# on a fully loaded registry, and not on a registry being loaded.
if self.ready:
for model in env.values():
model._unregister_hook()
# clear cache to ensure consistency, but do not signal it
for cache in self.__caches.values():
cache.clear()
lazy_property.reset_all(self)
self._field_trigger_trees.clear()
self._is_modifying_relations.clear()
self.registry_invalidated = True
# we must setup ir.model before adding manual fields because _add_manual_models may
# depend on behavior that is implemented through overrides, such as is_mail_thread which
# is implemented through an override to env['ir.model']._instanciate
env['ir.model']._prepare_setup()
# add manual models
if self._init_modules:
env['ir.model']._add_manual_models()
# prepare the setup on all models
models = list(env.values())
for model in models:
model._prepare_setup()
self.field_depends.clear()
self.field_depends_context.clear()
self.field_inverses.clear()
# do the actual setup
for model in models:
model._setup_base()
self._m2m = defaultdict(list)
for model in models:
model._setup_fields()
del self._m2m
for model in models:
model._setup_complete()
# determine field_depends and field_depends_context
for model in models:
for field in model._fields.values():
depends, depends_context = field.get_depends(model)
self.field_depends[field] = tuple(depends)
self.field_depends_context[field] = tuple(depends_context)
# clean the lazy_property again in case they are cached by another ongoing registry readonly request
lazy_property.reset_all(self)
# Reinstall registry hooks. Because of the condition, this only happens
# on a fully loaded registry, and not on a registry being loaded.
if self.ready:
for model in env.values():
model._register_hook()
env.flush_all()
@lazy_property
def field_computed(self):
""" Return a dict mapping each field to the fields computed by the same method. """
computed = {}
for model_name, Model in self.models.items():
groups = defaultdict(list)
for field in Model._fields.values():
if field.compute:
computed[field] = group = groups[field.compute]
group.append(field)
for fields in groups.values():
if len(fields) < 2:
continue
if len({field.compute_sudo for field in fields}) > 1:
fnames = ", ".join(field.name for field in fields)
warnings.warn(
f"{model_name}: inconsistent 'compute_sudo' for computed fields {fnames}. "
f"Either set 'compute_sudo' to the same value on all those fields, or "
f"use distinct compute methods for sudoed and non-sudoed fields."
)
if len({field.precompute for field in fields}) > 1:
fnames = ", ".join(field.name for field in fields)
warnings.warn(
f"{model_name}: inconsistent 'precompute' for computed fields {fnames}. "
f"Either set all fields as precompute=True (if possible), or "
f"use distinct compute methods for precomputed and non-precomputed fields."
)
if len({field.store for field in fields}) > 1:
fnames1 = ", ".join(field.name for field in fields if not field.store)
fnames2 = ", ".join(field.name for field in fields if field.store)
warnings.warn(
f"{model_name}: inconsistent 'store' for computed fields, "
f"accessing {fnames1} may recompute and update {fnames2}. "
f"Use distinct compute methods for stored and non-stored fields."
)
return computed
def get_trigger_tree(self, fields: list, select=bool) -> "TriggerTree":
""" Return the trigger tree to traverse when ``fields`` have been modified.
The function ``select`` is called on every field to determine which fields
should be kept in the tree nodes. This enables to discard some unnecessary
fields from the tree nodes.
"""
trees = [
self.get_field_trigger_tree(field)
for field in fields
if field in self._field_triggers
]
return TriggerTree.merge(trees, select)
def get_dependent_fields(self, field):
""" Return an iterable on the fields that depend on ``field``. """
if field not in self._field_triggers:
return ()
return (
dependent
for tree in self.get_field_trigger_tree(field).depth_first()
for dependent in tree.root
)
def _discard_fields(self, fields: list):
""" Discard the given fields from the registry's internal data structures. """
for f in fields:
# tests usually don't reload the registry, so when they create
# custom fields those may not have the entire dependency setup, and
# may be missing from these maps
self.field_depends.pop(f, None)
# discard fields from field triggers
self.__dict__.pop('_field_triggers', None)
self._field_trigger_trees.clear()
self._is_modifying_relations.clear()
# discard fields from field inverses
self.field_inverses.discard_keys_and_values(fields)
def get_field_trigger_tree(self, field) -> "TriggerTree":
""" Return the trigger tree of a field by computing it from the transitive
closure of field triggers.
"""
try:
return self._field_trigger_trees[field]
except KeyError:
pass
triggers = self._field_triggers
if field not in triggers:
return TriggerTree()
def transitive_triggers(field, prefix=(), seen=()):
if field in seen or field not in triggers:
return
for path, targets in triggers[field].items():
full_path = concat(prefix, path)
yield full_path, targets
for target in targets:
yield from transitive_triggers(target, full_path, seen + (field,))
def concat(seq1, seq2):
if seq1 and seq2:
f1, f2 = seq1[-1], seq2[0]
if (
f1.type == 'many2one' and f2.type == 'one2many'
and f1.name == f2.inverse_name
and f1.model_name == f2.comodel_name
and f1.comodel_name == f2.model_name
):
return concat(seq1[:-1], seq2[1:])
return seq1 + seq2
tree = TriggerTree()
for path, targets in transitive_triggers(field):
current = tree
for label in path:
current = current.increase(label)
if current.root:
current.root.update(targets)
else:
current.root = OrderedSet(targets)
self._field_trigger_trees[field] = tree
return tree
@lazy_property
def _field_triggers(self):
""" Return the field triggers, i.e., the inverse of field dependencies,
as a dictionary like ``{field: {path: fields}}``, where ``field`` is a
dependency, ``path`` is a sequence of fields to inverse and ``fields``
is a collection of fields that depend on ``field``.
"""
triggers = defaultdict(lambda: defaultdict(OrderedSet))
for Model in self.models.values():
if Model._abstract:
continue
for field in Model._fields.values():
try:
dependencies = list(field.resolve_depends(self))
except Exception:
# dependencies of custom fields may not exist; ignore that case
if not field.base_field.manual:
raise
else:
for dependency in dependencies:
*path, dep_field = dependency
triggers[dep_field][tuple(reversed(path))].add(field)
return triggers
def is_modifying_relations(self, field):
""" Return whether ``field`` has dependent fields on some records, and
that modifying ``field`` might change the dependent records.
"""
try:
return self._is_modifying_relations[field]
except KeyError:
result = field in self._field_triggers and (
field.relational or self.field_inverses[field] or any(
dep.relational or self.field_inverses[dep]
for dep in self.get_dependent_fields(field)
)
)
self._is_modifying_relations[field] = result
return result
def post_init(self, func, *args, **kwargs):
""" Register a function to call at the end of :meth:`~.init_models`. """
self._post_init_queue.append(partial(func, *args, **kwargs))
def post_constraint(self, func, *args, **kwargs):
""" Call the given function, and delay it if it fails during an upgrade. """
try:
if (func, args, kwargs) not in self._constraint_queue:
# Module A may try to apply a constraint and fail but another module B inheriting
# from Module A may try to reapply the same constraint and succeed, however the
# constraint would already be in the _constraint_queue and would be executed again
# at the end of the registry cycle, this would fail (already-existing constraint)
# and generate an error, therefore a constraint should only be applied if it's
# not already marked as "to be applied".
func(*args, **kwargs)
except Exception as e:
if self._is_install:
_schema.error(*e.args)
else:
_schema.info(*e.args)
self._constraint_queue.append((func, args, kwargs))
def finalize_constraints(self):
""" Call the delayed functions from above. """
while self._constraint_queue:
func, args, kwargs = self._constraint_queue.popleft()
try:
func(*args, **kwargs)
except Exception as e:
# warn only, this is not a deployment showstopper, and
# can sometimes be a transient error
_schema.warning(*e.args)
def init_models(self, cr, model_names, context, install=True):
""" Initialize a list of models (given by their name). Call methods
``_auto_init`` and ``init`` on each model to create or update the
database tables supporting the models.
The ``context`` may contain the following items:
- ``module``: the name of the module being installed/updated, if any;
- ``update_custom_fields``: whether custom fields should be updated.
"""
if not model_names:
return
if 'module' in context:
_logger.info('module %s: creating or updating database tables', context['module'])
elif context.get('models_to_check', False):
_logger.info("verifying fields for every extended model")
env = odoo.api.Environment(cr, SUPERUSER_ID, context)
models = [env[model_name] for model_name in model_names]
try:
self._post_init_queue = deque()
self._foreign_keys = {}
self._is_install = install
for model in models:
model._auto_init()
model.init()
env['ir.model']._reflect_models(model_names)
env['ir.model.fields']._reflect_fields(model_names)
env['ir.model.fields.selection']._reflect_selections(model_names)
env['ir.model.constraint']._reflect_constraints(model_names)
env['ir.model.inherit']._reflect_inherits(model_names)
self._ordinary_tables = None
while self._post_init_queue:
func = self._post_init_queue.popleft()
func()
self.check_indexes(cr, model_names)
self.check_foreign_keys(cr)
env.flush_all()
# make sure all tables are present
self.check_tables_exist(cr)
finally:
del self._post_init_queue
del self._foreign_keys
del self._is_install
def check_indexes(self, cr, model_names):
""" Create or drop column indexes for the given models. """
expected = [
(sql.make_index_name(Model._table, field.name), Model._table, field, getattr(field, 'unaccent', False))
for model_name in model_names
for Model in [self.models[model_name]]
if Model._auto and not Model._abstract
for field in Model._fields.values()
if field.column_type and field.store
]
if not expected:
return
# retrieve existing indexes with their corresponding table
cr.execute("SELECT indexname, tablename FROM pg_indexes WHERE indexname IN %s",
[tuple(row[0] for row in expected)])
existing = dict(cr.fetchall())
for indexname, tablename, field, unaccent in expected:
index = field.index
assert index in ('btree', 'btree_not_null', 'trigram', True, False, None)
if index and indexname not in existing and \
((not field.translate and index != 'trigram') or (index == 'trigram' and self.has_trigram)):
column_expression = f'"{field.name}"'
if index == 'trigram':
if field.translate:
column_expression = f'''(jsonb_path_query_array({column_expression}, '$.*')::text)'''
# add `unaccent` to the trigram index only because the
# trigram indexes are mainly used for (i/=)like search and
# unaccent is added only in these cases when searching
if unaccent and self.has_unaccent:
if self.has_unaccent == FunctionStatus.INDEXABLE:
column_expression = get_unaccent_wrapper(cr)(column_expression)
else:
warnings.warn(
"PostgreSQL function 'unaccent' is present but not immutable, "
"therefore trigram indexes may not be effective.",
)
expression = f'{column_expression} gin_trgm_ops'
method = 'gin'
where = ''
else: # index in ['btree', 'btree_not_null' True]
expression = f'{column_expression}'
method = 'btree'
where = f'{column_expression} IS NOT NULL' if index == 'btree_not_null' else ''
try:
with cr.savepoint(flush=False):
sql.create_index(cr, indexname, tablename, [expression], method, where)
except psycopg2.OperationalError:
_schema.error("Unable to add index for %s", self)
elif not index and tablename == existing.get(indexname):
_schema.info("Keep unexpected index %s on table %s", indexname, tablename)
def add_foreign_key(self, table1, column1, table2, column2, ondelete,
model, module, force=True):
""" Specify an expected foreign key. """
key = (table1, column1)
val = (table2, column2, ondelete, model, module)
if force:
self._foreign_keys[key] = val
else:
self._foreign_keys.setdefault(key, val)
def check_foreign_keys(self, cr):
""" Create or update the expected foreign keys. """
if not self._foreign_keys:
return
# determine existing foreign keys on the tables
query = """
SELECT fk.conname, c1.relname, a1.attname, c2.relname, a2.attname, fk.confdeltype
FROM pg_constraint AS fk
JOIN pg_class AS c1 ON fk.conrelid = c1.oid
JOIN pg_class AS c2 ON fk.confrelid = c2.oid
JOIN pg_attribute AS a1 ON a1.attrelid = c1.oid AND fk.conkey[1] = a1.attnum
JOIN pg_attribute AS a2 ON a2.attrelid = c2.oid AND fk.confkey[1] = a2.attnum
WHERE fk.contype = 'f' AND c1.relname IN %s
"""
cr.execute(query, [tuple({table for table, column in self._foreign_keys})])
existing = {
(table1, column1): (name, table2, column2, deltype)
for name, table1, column1, table2, column2, deltype in cr.fetchall()
}
# create or update foreign keys
for key, val in self._foreign_keys.items():
table1, column1 = key
table2, column2, ondelete, model, module = val
deltype = sql._CONFDELTYPES[ondelete.upper()]
spec = existing.get(key)
if spec is None:
sql.add_foreign_key(cr, table1, column1, table2, column2, ondelete)
conname = sql.get_foreign_keys(cr, table1, column1, table2, column2, ondelete)[0]
model.env['ir.model.constraint']._reflect_constraint(model, conname, 'f', None, module)
elif (spec[1], spec[2], spec[3]) != (table2, column2, deltype):
sql.drop_constraint(cr, table1, spec[0])
sql.add_foreign_key(cr, table1, column1, table2, column2, ondelete)
conname = sql.get_foreign_keys(cr, table1, column1, table2, column2, ondelete)[0]
model.env['ir.model.constraint']._reflect_constraint(model, conname, 'f', None, module)
def check_tables_exist(self, cr):
"""
Verify that all tables are present and try to initialize those that are missing.
"""
env = odoo.api.Environment(cr, SUPERUSER_ID, {})
table2model = {
model._table: name
for name, model in env.registry.items()
if not model._abstract and model._table_query is None
}
missing_tables = set(table2model).difference(existing_tables(cr, table2model))
if missing_tables:
missing = {table2model[table] for table in missing_tables}
_logger.info("Models have no table: %s.", ", ".join(missing))
# recreate missing tables
for name in missing:
_logger.info("Recreate table of model %s.", name)
env[name].init()
env.flush_all()
# check again, and log errors if tables are still missing
missing_tables = set(table2model).difference(existing_tables(cr, table2model))
for table in missing_tables:
_logger.error("Model %s has no table.", table2model[table])
def clear_cache(self, *cache_names):
""" Clear the caches associated to methods decorated with
``tools.ormcache``if cache is in `cache_name` subset. """
cache_names = cache_names or ('default',)
assert not any('.' in cache_name for cache_name in cache_names)
for cache_name in cache_names:
for cache in _CACHES_BY_KEY[cache_name]:
self.__caches[cache].clear()
self.cache_invalidated.add(cache_name)
# log information about invalidation_cause
if _logger.isEnabledFor(logging.DEBUG):
# could be interresting to log in info but this will need to minimize invalidation first,
# mainly in some setupclass and crons
caller_info = format_frame(inspect.currentframe().f_back)
_logger.debug('Invalidating %s model caches from %s', ','.join(cache_names), caller_info)
def clear_all_caches(self):
""" Clear the caches associated to methods decorated with
``tools.ormcache``.
"""
for cache_name, caches in _CACHES_BY_KEY.items():
for cache in caches:
self.__caches[cache].clear()
self.cache_invalidated.add(cache_name)
caller_info = format_frame(inspect.currentframe().f_back)
log = _logger.info if self.loaded else _logger.debug
log('Invalidating all model caches from %s', caller_info)
def is_an_ordinary_table(self, model):
""" Return whether the given model has an ordinary table. """
if self._ordinary_tables is None:
cr = model.env.cr
query = """
SELECT c.relname
FROM pg_class c
JOIN pg_namespace n ON (n.oid = c.relnamespace)
WHERE c.relname IN %s
AND c.relkind = 'r'
AND n.nspname = 'public'
"""
tables = tuple(m._table for m in self.models.values())
cr.execute(query, [tables])
self._ordinary_tables = {row[0] for row in cr.fetchall()}
return model._table in self._ordinary_tables
@property
def registry_invalidated(self):
""" Determine whether the current thread has modified the registry. """
return getattr(self._invalidation_flags, 'registry', False)
@registry_invalidated.setter
def registry_invalidated(self, value):
self._invalidation_flags.registry = value
@property
def cache_invalidated(self):
""" Determine whether the current thread has modified the cache. """
try:
return self._invalidation_flags.cache
except AttributeError:
names = self._invalidation_flags.cache = set()
return names
def setup_signaling(self):
""" Setup the inter-process signaling on this registry. """
if self.in_test_mode():
return
with self.cursor() as cr:
# The `base_registry_signaling` sequence indicates when the registry
# must be reloaded.
# The `base_cache_signaling_...` sequences indicates when caches must
# be invalidated (i.e. cleared).
sequence_names = ('base_registry_signaling', *(f'base_cache_signaling_{cache_name}' for cache_name in _CACHES_BY_KEY))
cr.execute("SELECT sequence_name FROM information_schema.sequences WHERE sequence_name IN %s", [sequence_names])
existing_sequences = tuple(s[0] for s in cr.fetchall()) # could be a set but not efficient with such a little list
for sequence_name in sequence_names:
if sequence_name not in existing_sequences:
cr.execute(SQL(
"CREATE SEQUENCE %s INCREMENT BY 1 START WITH 1",
SQL.identifier(sequence_name),
))
cr.execute(SQL("SELECT nextval(%s)", sequence_name))
db_registry_sequence, db_cache_sequences = self.get_sequences(cr)
self.registry_sequence = db_registry_sequence
self.cache_sequences.update(db_cache_sequences)
_logger.debug("Multiprocess load registry signaling: [Registry: %s] %s",
self.registry_sequence, ' '.join('[Cache %s: %s]' % cs for cs in self.cache_sequences.items()))
def get_sequences(self, cr):
cache_sequences_query = ', '.join([f'base_cache_signaling_{cache_name}' for cache_name in _CACHES_BY_KEY])
cache_sequences_values_query = ',\n'.join([f'base_cache_signaling_{cache_name}.last_value' for cache_name in _CACHES_BY_KEY])
cr.execute(f"""
SELECT base_registry_signaling.last_value, {cache_sequences_values_query}
FROM base_registry_signaling, {cache_sequences_query}
""")
registry_sequence, *cache_sequences_values = cr.fetchone()
cache_sequences = dict(zip(_CACHES_BY_KEY, cache_sequences_values))
return registry_sequence, cache_sequences
def check_signaling(self):
""" Check whether the registry has changed, and performs all necessary
operations to update the registry. Return an up-to-date registry.
"""
if self.in_test_mode():
return self
with closing(self.cursor()) as cr:
db_registry_sequence, db_cache_sequences = self.get_sequences(cr)
changes = ''
# Check if the model registry must be reloaded
if self.registry_sequence != db_registry_sequence:
_logger.info("Reloading the model registry after database signaling.")
self = Registry.new(self.db_name)
self.registry_sequence = db_registry_sequence
if _logger.isEnabledFor(logging.DEBUG):
changes += "[Registry - %s -> %s]" % (self.registry_sequence, db_registry_sequence)
# Check if the model caches must be invalidated.
else:
invalidated = []
for cache_name, cache_sequence in self.cache_sequences.items():
expected_sequence = db_cache_sequences[cache_name]
if cache_sequence != expected_sequence:
for cache in _CACHES_BY_KEY[cache_name]: # don't call clear_cache to avoid signal loop
if cache not in invalidated:
invalidated.append(cache)
self.__caches[cache].clear()
self.cache_sequences[cache_name] = expected_sequence
if _logger.isEnabledFor(logging.DEBUG):
changes += "[Cache %s - %s -> %s]" % (cache_name, cache_sequence, expected_sequence)
if invalidated:
_logger.info("Invalidating caches after database signaling: %s", sorted(invalidated))
if changes:
_logger.debug("Multiprocess signaling check: %s", changes)
return self
def signal_changes(self):
""" Notifies other processes if registry or cache has been invalidated. """
if self.in_test_mode():
if self.registry_invalidated:
self.registry_sequence += 1
for cache_name in self.cache_invalidated or ():
self.cache_sequences[cache_name] += 1
self.registry_invalidated = False
self.cache_invalidated.clear()
return
if self.registry_invalidated:
_logger.info("Registry changed, signaling through the database")
with closing(self.cursor()) as cr:
cr.execute("select nextval('base_registry_signaling')")
self.registry_sequence = cr.fetchone()[0]
# no need to notify cache invalidation in case of registry invalidation,
# because reloading the registry implies starting with an empty cache
elif self.cache_invalidated:
_logger.info("Caches invalidated, signaling through the database: %s", sorted(self.cache_invalidated))
with closing(self.cursor()) as cr:
for cache_name in self.cache_invalidated:
cr.execute("select nextval(%s)", [f'base_cache_signaling_{cache_name}'])
self.cache_sequences[cache_name] = cr.fetchone()[0]
self.registry_invalidated = False
self.cache_invalidated.clear()
def reset_changes(self):
""" Reset the registry and cancel all invalidations. """
if self.registry_invalidated:
with closing(self.cursor()) as cr:
self.setup_models(cr)
self.registry_invalidated = False
if self.cache_invalidated:
for cache_name in self.cache_invalidated:
for cache in _CACHES_BY_KEY[cache_name]:
self.__caches[cache].clear()
self.cache_invalidated.clear()
@contextmanager
def manage_changes(self):
""" Context manager to signal/discard registry and cache invalidations. """
try:
yield self
self.signal_changes()
except Exception:
self.reset_changes()
raise
def in_test_mode(self):
""" Test whether the registry is in 'test' mode. """
return self.test_cr is not None
def enter_test_mode(self, cr):
""" Enter the 'test' mode, where one cursor serves several requests. """
assert self.test_cr is None
self.test_cr = cr
self.test_lock = threading.RLock()
assert Registry._saved_lock is None
Registry._saved_lock = Registry._lock
Registry._lock = DummyRLock()
def leave_test_mode(self):
""" Leave the test mode. """
assert self.test_cr is not None
self.test_cr = None
self.test_lock = None
assert Registry._saved_lock is not None
Registry._lock = Registry._saved_lock
Registry._saved_lock = None
def cursor(self):
""" Return a new cursor for the database. The cursor itself may be used
as a context manager to commit/rollback and close automatically.
"""
if self.test_cr is not None:
# in test mode we use a proxy object that uses 'self.test_cr' underneath
return TestCursor(self.test_cr, self.test_lock)
return self._db.cursor()
class DummyRLock(object):
""" Dummy reentrant lock, to be used while running rpc and js tests """
def acquire(self):
pass
def release(self):
pass
def __enter__(self):
self.acquire()
def __exit__(self, type, value, traceback):
self.release()
class TriggerTree(dict):
""" The triggers of a field F is a tree that contains the fields that
depend on F, together with the fields to inverse to find out which records
to recompute.
For instance, assume that G depends on F, H depends on X.F, I depends on
W.X.F, and J depends on Y.F. The triggers of F will be the tree:
[G]
X/ \\Y
[H] [J]
W/
[I]
This tree provides perfect support for the trigger mechanism:
when F is # modified on records,
- mark G to recompute on records,
- mark H to recompute on inverse(X, records),
- mark I to recompute on inverse(W, inverse(X, records)),
- mark J to recompute on inverse(Y, records).
"""
__slots__ = ['root']
# pylint: disable=keyword-arg-before-vararg
def __init__(self, root=(), *args, **kwargs):
super().__init__(*args, **kwargs)
self.root = root
def __bool__(self):
return bool(self.root or len(self))
def __repr__(self) -> str:
return f"TriggerTree(root={self.root!r}, {super().__repr__()})"
def increase(self, key):
try:
return self[key]
except KeyError:
subtree = self[key] = TriggerTree()
return subtree
def depth_first(self):
yield self
for subtree in self.values():
yield from subtree.depth_first()
@classmethod
def merge(cls, trees: list, select=bool) -> "TriggerTree":
""" Merge trigger trees into a single tree. The function ``select`` is
called on every field to determine which fields should be kept in the
tree nodes. This enables to discard some fields from the tree nodes.
"""
root_fields = OrderedSet() # fields in the root node
subtrees_to_merge = defaultdict(list) # subtrees to merge grouped by key
for tree in trees:
root_fields.update(tree.root)
for label, subtree in tree.items():
subtrees_to_merge[label].append(subtree)
# the root node contains the collected fields for which select is true
result = cls([field for field in root_fields if select(field)])
for label, subtrees in subtrees_to_merge.items():
subtree = cls.merge(subtrees, select)
if subtree:
result[label] = subtree
return result