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strategies.py
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strategies.py

# Copyright (C) 2018-2021 The Software Heritage developers
# See the AUTHORS file at the top-level directory of this distribution
# License: GNU Affero General Public License version 3, or any later version
# See top-level LICENSE file for more information
from datetime import datetime
import random
from hypothesis import assume, settings
from hypothesis.extra.dateutil import timezones
from hypothesis.strategies import (
binary,
characters,
composite,
datetimes,
lists,
sampled_from,
text,
)
from swh.model.hashutil import hash_to_bytes, hash_to_hex
from swh.model.hypothesis_strategies import origins as new_origin_strategy
from swh.model.hypothesis_strategies import snapshots as new_snapshot
from swh.model.model import Person, Revision, RevisionType, TimestampWithTimezone
from swh.model.swhids import ObjectType
from swh.web.tests.data import get_tests_data
# Module dedicated to the generation of input data for tests through
# the use of hypothesis.
# Some of these data are sampled from a test archive created and populated
# in the swh.web.tests.data module.
# Set the swh-web hypothesis profile if none has been explicitly set
hypothesis_default_settings = settings.get_profile("default")
if repr(settings()) == repr(hypothesis_default_settings):
settings.load_profile("swh-web")
# The following strategies exploit the hypothesis capabilities
def _known_swh_object(object_type):
return sampled_from(get_tests_data()[object_type])
def sha1():
"""
Hypothesis strategy returning a valid hexadecimal sha1 value.
"""
return binary(min_size=20, max_size=20).map(hash_to_hex)
def invalid_sha1():
"""
Hypothesis strategy returning an invalid sha1 representation.
"""
return binary(min_size=50, max_size=50).map(hash_to_hex)
def sha256():
"""
Hypothesis strategy returning a valid hexadecimal sha256 value.
"""
return binary(min_size=32, max_size=32).map(hash_to_hex)
@composite
def new_content(draw):
blake2s256_hex = draw(sha256())
sha1_hex = draw(sha1())
sha1_git_hex = draw(sha1())
sha256_hex = draw(sha256())
assume(sha1_hex != sha1_git_hex)
assume(blake2s256_hex != sha256_hex)
return {
"blake2S256": blake2s256_hex,
"sha1": sha1_hex,
"sha1_git": sha1_git_hex,
"sha256": sha256_hex,
}
def unknown_content():
"""
Hypothesis strategy returning a random content not ingested
into the test archive.
"""
return new_content().filter(
lambda c: get_tests_data()["storage"].content_get_data(hash_to_bytes(c["sha1"]))
is None
)
def unknown_contents():
"""
Hypothesis strategy returning random contents not ingested
into the test archive.
"""
return lists(unknown_content(), min_size=2, max_size=8)
def unknown_directory():
"""
Hypothesis strategy returning a random directory not ingested
into the test archive.
"""
return sha1().filter(
lambda s: len(
list(get_tests_data()["storage"].directory_missing([hash_to_bytes(s)]))
)
> 0
)
def new_origin():
"""
Hypothesis strategy returning a random origin not ingested
into the test archive.
"""
return new_origin_strategy()
def new_origins(nb_origins=None):
"""
Hypothesis strategy returning random origins not ingested
into the test archive.
"""
min_size = nb_origins if nb_origins is not None else 2
max_size = nb_origins if nb_origins is not None else 8
size = random.randint(min_size, max_size)
return lists(
new_origin(),
min_size=size,
max_size=size,
unique_by=lambda o: tuple(sorted(o.items())),
)
def visit_dates(nb_dates=None):
"""
Hypothesis strategy returning a list of visit dates.
"""
min_size = nb_dates if nb_dates else 2
max_size = nb_dates if nb_dates else 8
return lists(
datetimes(
min_value=datetime(2015, 1, 1, 0, 0),
max_value=datetime(2018, 12, 31, 0, 0),
timezones=timezones(),
),
min_size=min_size,
max_size=max_size,
unique=True,
).map(sorted)
def unknown_release():
"""
Hypothesis strategy returning a random revision not ingested
into the test archive.
"""
return sha1().filter(
lambda s: get_tests_data()["storage"].release_get([s])[0] is None
)
def unknown_revision():
"""
Hypothesis strategy returning a random revision not ingested
into the test archive.
"""
return sha1().filter(
lambda s: get_tests_data()["storage"].revision_get([hash_to_bytes(s)])[0]
is None
)
@composite
def new_person(draw):
"""
Hypothesis strategy returning random raw swh person data.
"""
name = draw(
text(
min_size=5,
max_size=30,
alphabet=characters(min_codepoint=0, max_codepoint=255),
)
)
email = "%s@company.org" % name
return Person(
name=name.encode(),
email=email.encode(),
fullname=("%s <%s>" % (name, email)).encode(),
)
@composite
def new_swh_date(draw):
"""
Hypothesis strategy returning random raw swh date data.
"""
timestamp = draw(
datetimes(
min_value=datetime(2015, 1, 1, 0, 0), max_value=datetime(2018, 12, 31, 0, 0)
).map(lambda d: int(d.timestamp()))
)
return {
"timestamp": timestamp,
"offset": 0,
"negative_utc": False,
}
@composite
def new_revision(draw):
"""
Hypothesis strategy returning random raw swh revision data
not ingested into the test archive.
"""
return Revision(
directory=draw(sha1().map(hash_to_bytes)),
author=draw(new_person()),
committer=draw(new_person()),
message=draw(text(min_size=20, max_size=100).map(lambda t: t.encode())),
date=TimestampWithTimezone.from_datetime(draw(new_swh_date())),
committer_date=TimestampWithTimezone.from_datetime(draw(new_swh_date())),
synthetic=False,
type=RevisionType.GIT,
)
def unknown_revisions(min_size=2, max_size=8):
"""
Hypothesis strategy returning random revisions not ingested
into the test archive.
"""
return lists(unknown_revision(), min_size=min_size, max_size=max_size)
def snapshot():
"""
Hypothesis strategy returning a random snapshot ingested
into the test archive.
"""
return _known_swh_object("snapshots")
def new_snapshots(nb_snapshots=None):
min_size = nb_snapshots if nb_snapshots else 2
max_size = nb_snapshots if nb_snapshots else 8
return lists(
new_snapshot(min_size=2, max_size=10, only_objects=True),
min_size=min_size,
max_size=max_size,
)
def unknown_snapshot():
"""
Hypothesis strategy returning a random revision not ingested
into the test archive.
"""
return sha1().filter(
lambda s: get_tests_data()["storage"].snapshot_get_branches(hash_to_bytes(s))
is None
)
def swhid():
"""
Hypothesis strategy returning a qualified SWHID for any object
ingested into the test archive.
"""
return _known_swh_object("swhids")
def snapshot_swhid():
"""
Hypothesis strategy returning a qualified SWHID for a snapshot object
ingested into the test archive.
"""
return swhid().filter(lambda swhid: swhid.object_type == ObjectType.SNAPSHOT)

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