mirror of
https://git.quad4.io/RNS-Things/MeshChatX.git
synced 2026-05-28 16:34:01 +00:00
Ivan
103 lines
2.6 KiB
Python
103 lines
2.6 KiB
Python
# SPDX-License-Identifier: 0BSD
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import json
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from hypothesis import given, settings, strategies as st
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from meshchatx.src.backend.lxmf_sieve import (
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first_matching_lxmf_sieve_rule,
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normalize_lxmf_sieve_filters,
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parse_lxmf_sieve_filters_json,
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)
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_json_like = st.recursive(
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st.none()
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| st.booleans()
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| st.integers(min_value=-10_000, max_value=10_000)
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| st.floats(allow_nan=False, width=32)
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| st.text(max_size=256),
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lambda children: (
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st.lists(children, max_size=12)
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| st.dictionaries(st.text(max_size=32), children, max_size=12)
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),
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max_leaves=40,
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)
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@given(_json_like)
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@settings(max_examples=300, deadline=None)
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def test_normalize_lxmf_sieve_filters_never_raises(data):
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if isinstance(data, list):
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normalize_lxmf_sieve_filters(data)
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else:
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normalize_lxmf_sieve_filters([data])
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@given(st.text(max_size=4096))
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@settings(max_examples=400, deadline=None)
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def test_parse_lxmf_sieve_filters_json_never_raises(s):
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parse_lxmf_sieve_filters_json(s)
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@given(st.text(max_size=4096))
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@settings(max_examples=200, deadline=None)
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def test_parse_json_dumped_list_never_raises(s):
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try:
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payload = json.dumps(
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[{"action": "ignore", "terms": [s], "match_mode": "substring"}]
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)
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except (TypeError, ValueError):
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return
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parse_lxmf_sieve_filters_json(payload)
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@given(
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peer=st.text(max_size=512),
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msg=st.one_of(st.none(), st.text(max_size=512)),
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is_contact=st.booleans(),
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raw_terms=st.lists(st.text(max_size=64), max_size=8),
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)
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@settings(max_examples=250, deadline=None)
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def test_first_matching_never_raises(peer, msg, is_contact, raw_terms):
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rules = normalize_lxmf_sieve_filters(
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[
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{
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"action": "ignore",
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"terms": raw_terms or ["x"],
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"match_peer_fields": True,
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"match_message": False,
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},
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],
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)
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first_matching_lxmf_sieve_rule(
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rules,
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peer,
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is_contact=is_contact,
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message_haystack=msg,
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)
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@given(
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peer=st.text(max_size=256),
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msg=st.text(max_size=256),
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is_contact=st.booleans(),
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)
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@settings(max_examples=200, deadline=None)
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def test_first_matching_with_message_flag_never_raises(peer, msg, is_contact):
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rules = normalize_lxmf_sieve_filters(
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[
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{
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"action": "hide",
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"terms": ["a"],
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"match_peer_fields": False,
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"match_message": True,
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},
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],
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)
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first_matching_lxmf_sieve_rule(
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rules,
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peer,
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is_contact=is_contact,
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message_haystack=msg,
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)
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