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"""
Hypothesis strategies for eliot.
"""
from functools import partial
from hypothesis.strategies import (
builds,
dictionaries,
fixed_dictionaries,
floats,
integers,
lists,
just,
none,
one_of,
recursive,
text,
uuids,
)
from pyrsistent import pmap, pvector, ny, thaw
from .._action import (
ACTION_STATUS_FIELD,
ACTION_TYPE_FIELD,
FAILED_STATUS,
STARTED_STATUS,
SUCCEEDED_STATUS,
TaskLevel,
WrittenAction,
)
from .._message import (
EXCEPTION_FIELD,
REASON_FIELD,
TASK_LEVEL_FIELD,
TASK_UUID_FIELD,
WrittenMessage,
)
task_level_indexes = integers(min_value=1, max_value=10)
# Task levels can be arbitrarily deep, but in the wild rarely as much as 100.
# Five seems a sensible average.
task_level_lists = lists(task_level_indexes, min_size=1, max_size=6)
task_levels = task_level_lists.map(lambda level: TaskLevel(level=level))
# Text generation is slow, and most of the things are short labels. We set
# a restricted alphabet so they're easier to read, and in general large
# amount of randomness in label generation doesn't enhance our testing in
# any way, since we don't parse type names or user field values.
labels = text(min_size=1, max_size=8, alphabet="CGAT")
timestamps = floats(min_value=0, max_value=1000.0)
message_core_dicts = fixed_dictionaries(
dict(
task_level=task_level_lists.map(pvector),
task_uuid=uuids().map(str),
timestamp=timestamps,
)
).map(pmap)
# Text generation is slow. We can make it faster by not generating so
# much. These are reasonable values.
message_data_dicts = dictionaries(
keys=labels,
values=labels,
# People don't normally put much more than ten fields in their
# messages, surely?
max_size=10,
).map(pmap)
def written_from_pmap(d):
"""
Convert a C{pmap} to a C{WrittenMessage}.
"""
return WrittenMessage.from_dict(thaw(d))
def union(*dicts):
result = pmap().evolver()
for d in dicts:
# Work around bug in pyrsistent where it sometimes loses updates if
# they contain some kv pairs that are identical to the ones in the
# dict being updated.
#
# https://github.com/tobgu/pyrsistent/pull/54
for key, value in d.items():
if key in result and result[key] is value:
continue
result[key] = value
return result.persistent()
message_dicts = builds(union, message_data_dicts, message_core_dicts)
written_messages = message_dicts.map(written_from_pmap)
_start_action_fields = fixed_dictionaries(
{ACTION_STATUS_FIELD: just(STARTED_STATUS), ACTION_TYPE_FIELD: labels}
)
start_action_message_dicts = builds(union, message_dicts, _start_action_fields).map(
lambda x: x.update({TASK_LEVEL_FIELD: x[TASK_LEVEL_FIELD].set(-1, 1)})
)
start_action_messages = start_action_message_dicts.map(written_from_pmap)
def sibling_task_level(message, n):
return message.task_level.parent().level.append(n)
_end_action_fields = one_of(
just({ACTION_STATUS_FIELD: SUCCEEDED_STATUS}),
fixed_dictionaries(
{
ACTION_STATUS_FIELD: just(FAILED_STATUS),
# Text generation is slow. We can make it faster by not generating so
# much. Thqese are reasonable values.
EXCEPTION_FIELD: labels,
REASON_FIELD: labels,
}
),
)
def _make_written_action(start_message, child_messages, end_message_dict):
"""
Helper for creating arbitrary L{WrittenAction}s.
The child messages and end message (if provided) will be updated to have
the same C{task_uuid} as C{start_message}. Likewise, their C{task_level}s
will be such that they follow on from C{start_message}.
@param WrittenMessage start_message: The message to start the action with.
@param child_messages: A sequence of L{WrittenAction}s and
L{WrittenMessage}s that make up the action.
@param (PMap | None) end_message_dict: A dictionary that makes up an end
message. If None, then the action is unfinished.
@return: A L{WrittenAction}
"""
task_uuid = start_message.task_uuid
children = []
for i, child in enumerate(child_messages, 2):
task_level = TaskLevel(level=sibling_task_level(start_message, i))
children.append(reparent_action(task_uuid, task_level, child))
if end_message_dict:
end_message = written_from_pmap(
union(
end_message_dict,
{
ACTION_TYPE_FIELD: start_message.contents[ACTION_TYPE_FIELD],
TASK_UUID_FIELD: task_uuid,
TASK_LEVEL_FIELD: sibling_task_level(
start_message, 2 + len(children)
),
},
)
)
else:
end_message = None
return WrittenAction.from_messages(start_message, children, end_message)
written_actions = recursive(
written_messages,
lambda children: builds(
_make_written_action,
start_message=start_action_messages,
child_messages=lists(children, max_size=5),
end_message_dict=builds(union, message_dicts, _end_action_fields) | none(),
),
)
def _map_messages(f, written_action):
"""
Map C{f} across all of the messages that make up C{written_action}.
This is a structure-preserving map operation. C{f} will be applied to all
messages that make up C{written_action}: the start message, end message,
and children. If any of the children are themselves L{WrittenAction}s, we
recurse down into them.
@param f: A function that takes a L{WrittenMessage} and returns a new
L{WrittenMessage}.
@param (WrittenAction | WrittenMessage) written_action: A written
@return: A L{WrittenMessage} if C{written_action} is a C{WrittenMessage},
a L{WrittenAction} otherwise.
"""
if isinstance(written_action, WrittenMessage):
return f(written_action)
start_message = f(written_action.start_message)
children = written_action.children.transform([ny], partial(_map_messages, f))
if written_action.end_message:
end_message = f(written_action.end_message)
else:
end_message = None
return WrittenAction.from_messages(
start_message=start_message, children=pvector(children), end_message=end_message
)
def reparent_action(task_uuid, task_level, written_action):
"""
Return a version of C{written_action} that has the given C{task_uuid} and
is rooted at the given C{task_level}.
@param UUID task_uuid: The new task UUID.
@param TaskLevel task_level: The new task level.
@param (WrittenAction | WrittenMessage) written_action: The action or
message to update.
@return: A new version of C{written_action}.
"""
new_prefix = list(task_level.level)
old_prefix_len = len(written_action.task_level.level)
def fix_message(message):
return message.transform(
["_logged_dict", TASK_LEVEL_FIELD],
lambda level: new_prefix + level[old_prefix_len:],
).transform(["_logged_dict", TASK_UUID_FIELD], task_uuid)
return _map_messages(fix_message, written_action)
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