feat: Phase 2 complete — 13 Phases of COBOL type classification and test benchmark

P0.6: gcov infrastructure
P1: extract_structure output expansion (11 new feature fields)
P2: Confusion group rule engine (8 pairs + contradiction + backtrack)
P3: 4-factor confidence calculation + quality gate update
P4: 33+2 COBOL program type test samples (22 files, 7 categories)
P5: parametrized/ test data generation engine
P6: japanese_data.py lookup tables
P7-10: Type-specific test suites (~159 parametrized tests)
P11: Full classification pipeline (classify_program) + orchestrator integration
P12: Documentation (module-interfaces, test-plan v3.0, coverage-matrix)

Architecture decisions:
- classification_pipeline/ merged to hina/pipeline/
- parametrized/ as independent module
- japanese_data.py as root-level file
- hina/__all__ only exports classify_program()

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
hangshuo652
2026-06-19 23:51:55 +08:00
parent 63b5284715
commit bc1d56d1a4
129 changed files with 19378 additions and 261 deletions
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"""AG-01~12: Agents 模块"""
import sys, os, json, tempfile
from pathlib import Path
from unittest.mock import MagicMock, patch
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from agents.llm import LLMClient
from agents.agent1_parser import Agent1Parser
from agents.agent2_data import Agent2Data
from agents.agent3_diagnostic import Agent3Diagnostic
from data.diff_result import FieldResult
def _llm_client(cache_dir=None):
if cache_dir is None:
cache_dir = tempfile.mkdtemp()
return LLMClient(model="test", cache_dir=cache_dir)
def _mock_response(content="resp"):
m = MagicMock()
m.json.return_value = {"choices": [{"message": {"content": content}}]}
m.raise_for_status.return_value = None
return m
# ── AG-01~05: LLMClient ──
def test_llm_call_returns_string():
"""AG-01: call 返回字符串"""
client = _llm_client()
with patch("httpx.post", return_value=_mock_response("hello")):
assert client.call([{"role": "user", "content": "hi"}]) == "hello"
def test_llm_cache_hit():
"""AG-02: 相同消息 → 缓存命中"""
with tempfile.TemporaryDirectory() as tmp:
client = _llm_client(tmp)
with patch("httpx.post", return_value=_mock_response("resp1")):
client.call([{"role": "user", "content": "ping"}])
with patch("httpx.post") as mock_post:
result = client.call([{"role": "user", "content": "ping"}])
assert result == "resp1"
mock_post.assert_not_called()
def test_llm_timeout():
"""AG-03: 超时 → 抛出异常"""
client = _llm_client()
with patch("httpx.post", side_effect=Exception("timeout")):
import pytest
with pytest.raises(Exception):
client.call([{"role": "user", "content": "hi"}], retries=0)
def test_llm_retry_success():
"""AG-04: 首次失败, 重试成功"""
with tempfile.TemporaryDirectory() as tmp:
client = _llm_client(tmp)
call_n = [0]
def _side(*a, **kw):
call_n[0] += 1
if call_n[0] == 1:
raise Exception("first fail")
return _mock_response("ok")
with patch("httpx.post", side_effect=_side):
result = client.call([{"role": "user", "content": "retry"}], retries=1)
assert result == "ok"
def test_llm_retry_exhausted():
"""AG-05: 重试用完 → 抛出"""
client = _llm_client()
with patch("httpx.post", side_effect=Exception("fail")):
import pytest
with pytest.raises(Exception):
client.call([{"role": "user", "content": "x"}], retries=0)
# ── AG-06~08: Agent1Parser ──
def test_agent1_parse_valid():
"""AG-06: 合法 COPYBOOK 字段"""
llm = MagicMock()
llm.call.return_value = json.dumps({
"fields": [
{"name": "WS-A", "level": 5, "pic": "9(4)", "length": 4, "offset": 0},
]
})
tree = Agent1Parser(llm).parse("text")
assert "WS-A" in tree.flatten()
def test_agent1_parse_bad_json():
"""AG-07: 非法 JSON → parse_error"""
llm = MagicMock()
llm.call.return_value = "not json"
tree = Agent1Parser(llm).parse("x")
assert tree.copybook_name == "parse_error"
def test_agent1_parse_empty():
"""AG-08: JSON 缺 fields"""
llm = MagicMock()
llm.call.return_value = json.dumps({})
tree = Agent1Parser(llm).parse("x")
assert len(tree.fields) >= 0
# ── AG-09~11: Agent2Data ──
def test_agent2_design_normal():
"""AG-09: 正常 → TestSuite"""
llm = MagicMock()
llm.call.return_value = json.dumps({"test_cases": [{"id": "TC-1", "fields": {"A": 1}}]})
from data.field_tree import FieldTree, Field
suite = Agent2Data(llm).design(FieldTree(fields=[Field(name="A", level=5, pic="9(4)")]))
assert suite is not None
def test_agent2_design_fallback():
"""AG-10: LLM 返回非法 JSON → try/except 进入 fallback"""
llm = MagicMock()
llm.call.return_value = "not-json"
from data.field_tree import FieldTree
suite = Agent2Data(llm).design(FieldTree(fields=[]))
# json.loads 抛出 JSONDecodeError, 被 except 捕获, 返回 TC-FALLBACK
assert len(suite.test_cases) >= 1
assert suite.test_cases[0].id == "TC-FALLBACK"
def test_agent2_design_spark():
"""AG-11: spark_mode → SparkConfig"""
llm = MagicMock()
llm.call.return_value = json.dumps({"test_cases": []})
from data.field_tree import FieldTree
suite = Agent2Data(llm).design(FieldTree(fields=[]), spark_mode=True)
assert suite.has_spark is True
# ── AG-12: Agent3Diagnostic ──
def test_agent3_analyze():
"""AG-12: MISMATCH → 诊断"""
llm = MagicMock()
llm.call.return_value = "rounding error"
fr = FieldResult(field_name="BR-AMT", status="MISMATCH",
cobol_value="1500000", java_value="1499999.99")
r = Agent3Diagnostic(llm).analyze(fr)
assert isinstance(r, str) and len(r) > 0
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"""LLMClient deep resilience testing — HTTP status codes, cache failures, concurrency, retries."""
import sys, os, json, time, threading, tempfile
from pathlib import Path
from unittest.mock import MagicMock, patch
import httpx
import pytest
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from agents.llm import LLMClient
def _llm_client(cache_dir=None):
if cache_dir is None:
cache_dir = tempfile.mkdtemp()
return LLMClient(model="test", cache_dir=cache_dir)
def _mock_response(content="resp"):
m = MagicMock()
m.json.return_value = {"choices": [{"message": {"content": content}}]}
m.raise_for_status.return_value = None
return m
def _make_http_error(status_code, message=None):
"""Build an httpx.HTTPStatusError that raise_for_status can raise."""
request = httpx.Request("POST", "http://localhost/chat/completions")
response = httpx.Response(status_code=status_code, request=request)
return httpx.HTTPStatusError(
message or f"{status_code} error",
request=request,
response=response,
)
# ══════════════════════════════════════════════════════════════════════
# HTTP Status Code Handling
# ══════════════════════════════════════════════════════════════════════
def test_401_unauthorized():
"""401 Unauthorized -> exception propagates with correct status code"""
client = _llm_client()
error = _make_http_error(401, "Unauthorized")
resp = _mock_response()
resp.raise_for_status.side_effect = error
with patch("httpx.post", return_value=resp):
with pytest.raises(httpx.HTTPStatusError) as exc:
client.call([{"role": "user", "content": "hi"}], retries=0)
assert exc.value.response.status_code == 401
def test_429_rate_limit():
"""429 Rate Limit -> exception propagates after retries exhausted"""
client = _llm_client()
error = _make_http_error(429, "Too Many Requests")
resp = _mock_response()
resp.raise_for_status.side_effect = error
with patch("httpx.post", return_value=resp):
with pytest.raises(httpx.HTTPStatusError) as exc:
client.call([{"role": "user", "content": "hi"}], retries=1)
assert exc.value.response.status_code == 429
def test_503_service_unavailable():
"""503 Service Unavailable -> exception propagates with correct status code"""
client = _llm_client()
error = _make_http_error(503, "Service Unavailable")
resp = _mock_response()
resp.raise_for_status.side_effect = error
with patch("httpx.post", return_value=resp):
with pytest.raises(httpx.HTTPStatusError) as exc:
client.call([{"role": "user", "content": "hi"}], retries=0)
assert exc.value.response.status_code == 503
def test_network_timeout():
"""httpx.TimeoutException -> exception propagates"""
client = _llm_client()
with patch("httpx.post", side_effect=httpx.TimeoutException("Connection timed out")):
with pytest.raises(httpx.TimeoutException):
client.call([{"role": "user", "content": "hi"}], retries=0)
# ══════════════════════════════════════════════════════════════════════
# Cache Behaviors
# ══════════════════════════════════════════════════════════════════════
def test_cache_disk_full_falls_through():
"""Cache disk full (_set raises OSError) -> call() retries and still returns value"""
with tempfile.TemporaryDirectory() as tmp:
client = _llm_client(tmp)
original_set = client._set
set_attempts = [0]
def flaky_set(k, v):
set_attempts[0] += 1
if set_attempts[0] <= 1:
raise OSError("No space left on device")
original_set(k, v)
with patch("httpx.post", return_value=_mock_response("hello")):
with patch.object(client, "_set", side_effect=flaky_set):
result = client.call([{"role": "user", "content": "hi"}], retries=1)
assert result == "hello"
# First _set call failed (caught by retry), second succeeded
assert set_attempts[0] == 2
def test_cache_corrupted_file():
"""Corrupted cache .json -> cache miss, API called instead"""
with tempfile.TemporaryDirectory() as tmp:
client = _llm_client(tmp)
messages = [{"role": "user", "content": "corrupt-test"}]
# Write a corrupted JSON file where the cache entry would be
k = client._key(messages)
cache_path = Path(tmp) / f"{k}.json"
cache_path.write_text("not valid json{{{")
with patch("httpx.post", return_value=_mock_response("from-api")) as mock_post:
result = client.call(messages, retries=0)
assert result == "from-api"
mock_post.assert_called_once()
def test_multiple_cache_files():
"""Multiple distinct messages create separate cache files with correct key structure"""
with tempfile.TemporaryDirectory() as tmp:
client = _llm_client(tmp)
msgs_a = [{"role": "user", "content": "alpha"}]
msgs_b = [{"role": "user", "content": "beta"}]
with patch("httpx.post", side_effect=[_mock_response("resp-a"), _mock_response("resp-b")]):
client.call(msgs_a, retries=0)
client.call(msgs_b, retries=0)
cached = list(Path(tmp).iterdir())
assert len(cached) == 2
keys = {p.stem for p in cached}
assert client._key(msgs_a) in keys
assert client._key(msgs_b) in keys
# Each file is valid JSON with the expected structure
for p in cached:
data = json.loads(p.read_text())
assert "response" in data
def test_empty_cache_dir_on_init():
"""Init with fresh empty directory -> mkdir creates it; re-init with existing dir works"""
with tempfile.TemporaryDirectory() as tmp:
cache_sub = Path(tmp) / "nested" / "cache"
assert not cache_sub.exists()
client = LLMClient(model="test", cache_dir=str(cache_sub))
assert cache_sub.exists()
assert cache_sub.is_dir()
# Second init with same directory (exist_ok=True) should not fail
client2 = LLMClient(model="test", cache_dir=str(cache_sub))
assert cache_sub.exists()
# ══════════════════════════════════════════════════════════════════════
# Concurrency
# ══════════════════════════════════════════════════════════════════════
def test_concurrent_same_message():
"""Two threads calling call() with same message -> both return same result"""
with tempfile.TemporaryDirectory() as tmp:
client = _llm_client(tmp)
messages = [{"role": "user", "content": "concurrent"}]
call_count_lock = threading.Lock()
api_call_count = [0]
def api_side(*a, **kw):
with call_count_lock:
api_call_count[0] += 1
time.sleep(0.05) # small delay so threads overlap
return _mock_response("shared-result")
results = [None, None]
errors = [None, None]
barrier = threading.Barrier(2, timeout=5)
def _call(idx):
try:
barrier.wait() # both threads start simultaneously
results[idx] = client.call(messages, retries=0)
except Exception as e:
errors[idx] = e
with patch("httpx.post", side_effect=api_side):
t1 = threading.Thread(target=_call, args=(0,))
t2 = threading.Thread(target=_call, args=(1,))
t1.start()
t2.start()
t1.join()
t2.join()
assert errors[0] is None, f"Thread 0 error: {errors[0]}"
assert errors[1] is None, f"Thread 1 error: {errors[1]}"
assert results[0] == "shared-result"
assert results[1] == "shared-result"
# With the barrier both threads race through _get before either writes,
# so both make an API call. Correctness (same result) is the key assertion.
assert api_call_count[0] == 2
# ══════════════════════════════════════════════════════════════════════
# Retry Behavior
# ══════════════════════════════════════════════════════════════════════
def test_retry_3_two_fail_then_success():
"""retries=3, first 2 call attempts fail, 3rd succeeds -> result from 3rd"""
with tempfile.TemporaryDirectory() as tmp:
client = _llm_client(tmp)
call_n = [0]
def _side(*a, **kw):
call_n[0] += 1
if call_n[0] <= 2:
raise Exception(f"fail #{call_n[0]}")
return _mock_response("ok-on-3rd")
with patch("httpx.post", side_effect=_side):
result = client.call([{"role": "user", "content": "x"}], retries=3)
assert result == "ok-on-3rd"
assert call_n[0] == 3 # exactly 3 attempts made
def test_retries_0_immediate_failure():
"""retries=0, first call fails -> immediate exception"""
client = _llm_client()
with patch("httpx.post", side_effect=ValueError("api exploded")):
with pytest.raises(ValueError, match="api exploded"):
client.call([{"role": "user", "content": "x"}], retries=0)
def test_cache_hit_then_eviction_then_retry():
"""Cache hit -> eviction -> cache miss -> API first fail -> retry succeed"""
with tempfile.TemporaryDirectory() as tmp:
client = _llm_client(tmp)
messages = [{"role": "user", "content": "evict-and-retry"}]
k = client._key(messages)
cache_path = Path(tmp) / f"{k}.json"
# Prime cache with a known value
cache_path.write_text(json.dumps({"response": "cached"}))
# Verify cache hit (no API call made)
with patch("httpx.post") as mock_post:
r1 = client.call(messages, retries=0)
assert r1 == "cached"
mock_post.assert_not_called()
# Evict the cache file
cache_path.unlink()
# Now: cache miss -> first API call fails -> retry succeeds
call_n = [0]
def _side(*a, **kw):
call_n[0] += 1
if call_n[0] == 1:
raise Exception("first fail after eviction")
return _mock_response("after-eviction-ok")
with patch("httpx.post", side_effect=_side):
r2 = client.call(messages, retries=1)
assert r2 == "after-eviction-ok"
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"""CO-01~10: cobol_testgen cond 模块 — 条件表达式解析 + MC/DC"""
import sys, os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from cobol_testgen.cond import (
parse_single_condition, parse_compound_condition,
collect_leaves, evaluate_tree, mcdc_sets, is_field,
)
from cobol_testgen.models import CondLeaf, CondAnd, CondOr, CondNot
# ── CO-01~02: parse_single_condition ──
def test_parse_single_numeric():
"""CO-01: 数值比较 AMOUNT > 100"""
r = parse_single_condition("AMOUNT > 100")
assert r is not None
assert r[0] == "AMOUNT"
assert r[1] == ">"
assert r[2] == "100"
def test_parse_single_string():
"""CO-02: 文字列比较 B = 'Y'"""
r = parse_single_condition("B = 'Y'")
assert r is not None
assert r[0] == "B"
assert r[1] == "="
assert r[2] == "Y"
def test_parse_single_subscript():
"""带下标的字段 WS-ITEM(SUB) = 'A'"""
r = parse_single_condition("WS-ITEM(SUB) = 'A'")
assert r is not None
assert r[2] == "A"
def test_parse_single_88_level():
"""88-level 条件名分解"""
fields = [{"is_88": True, "name": "STATUS-APPROVED", "parent": "WS-TRAN-STATUS", "value": "A"}]
r = parse_single_condition("STATUS-APPROVED", fields)
assert r is not None
assert r[0] == "WS-TRAN-STATUS"
assert r[2] == "A"
def test_parse_single_compound_returns_none():
"""包含 AND/OR 返回 None"""
assert parse_single_condition("A > 0 AND B < 5") is None
def test_parse_single_unknown_returns_none():
"""无法解析的表达式返回 None"""
assert parse_single_condition("NOT A") is None
# ── CO-03~05: parse_compound_condition ──
def test_compound_and():
"""CO-03: A > 0 AND B < 5 → CondAnd"""
r = parse_compound_condition("A > 0 AND B < 5")
assert r is not None
assert isinstance(r, CondAnd)
assert isinstance(r.left, CondLeaf)
assert isinstance(r.right, CondLeaf)
def test_compound_or():
"""CO-04: A = 1 OR B = 2 → CondOr"""
r = parse_compound_condition("A = 1 OR B = 2")
assert r is not None
assert isinstance(r, CondOr)
assert isinstance(r.left, CondLeaf)
assert isinstance(r.right, CondLeaf)
def test_compound_nested_and_or():
"""CO-05: (A > 0 AND B < 5) OR C = 1 → AND优先于OR"""
r = parse_compound_condition("(A > 0 AND B < 5) OR C = 1")
assert r is not None
assert isinstance(r, CondOr)
assert isinstance(r.left, CondAnd)
assert isinstance(r.right, CondLeaf)
def test_compound_not():
"""NOT 前缀"""
r = parse_compound_condition("NOT A = 1")
assert r is not None
assert isinstance(r, CondNot)
assert isinstance(r.child, CondLeaf)
def test_compound_empty():
"""空字符串返回 None"""
assert parse_compound_condition("") is None
def test_compound_paren_wrap():
"""外层括号剥离"""
r = parse_compound_condition("(A > 0)")
assert isinstance(r, CondLeaf)
# ── collect_leaves ──
def test_collect_leaves_and():
"""AND 树收集所有叶子"""
tree = CondAnd(CondLeaf("A", ">", "0"), CondLeaf("B", "<", "5"))
leaves = collect_leaves(tree)
assert len(leaves) == 2
def test_collect_leaves_not():
"""NOT 树收集子叶子"""
tree = CondNot(CondLeaf("A", "=", "1"))
leaves = collect_leaves(tree)
assert len(leaves) == 1
# ── evaluate_tree ──
def test_evaluate_leaf_true():
"""叶子节点求值"""
leaf = CondLeaf("A", ">", "0")
assert evaluate_tree(leaf, {leaf: True}) is True
assert evaluate_tree(leaf, {leaf: False}) is False
def test_evaluate_and_true():
"""AND 全部 True → True"""
l1 = CondLeaf("A", ">", "0")
l2 = CondLeaf("B", "<", "5")
tree = CondAnd(l1, l2)
assert evaluate_tree(tree, {l1: True, l2: True}) is True
def test_evaluate_and_false():
"""AND 任一 False → False"""
l1 = CondLeaf("A", ">", "0")
l2 = CondLeaf("B", "<", "5")
tree = CondAnd(l1, l2)
assert evaluate_tree(tree, {l1: True, l2: False}) is False
def test_evaluate_or_true():
"""OR 任一 True → True"""
l1 = CondLeaf("A", "=", "1")
l2 = CondLeaf("B", "=", "2")
tree = CondOr(l1, l2)
assert evaluate_tree(tree, {l1: True, l2: False}) is True
def test_evaluate_or_false():
"""OR 全部 False → False"""
l1 = CondLeaf("A", "=", "1")
l2 = CondLeaf("B", "=", "2")
tree = CondOr(l1, l2)
assert evaluate_tree(tree, {l1: False, l2: False}) is False
def test_evaluate_not():
"""NOT 反转"""
leaf = CondLeaf("A", "=", "1")
tree = CondNot(leaf)
assert evaluate_tree(tree, {leaf: True}) is False
assert evaluate_tree(tree, {leaf: False}) is True
# ── CO-06~08: mcdc_sets ──
def test_mcdc_single_leaf_returns_none():
"""CO-06: 单条件 (IF A > 100) → None (不需要 MC/DC)"""
tree = CondLeaf("A", ">", "100")
assert mcdc_sets(tree) is None
def test_mcdc_and():
"""CO-07: AND (A > 0 AND B < 5) → 3 sets (MC/DC)"""
tree = CondAnd(CondLeaf("A", ">", "0"), CondLeaf("B", "<", "5"))
sets = mcdc_sets(tree)
assert sets is not None
# AND 需要 3 个测试对: TT→T, TF→F, FT→F
# 实际上 mcdc_sets 返回约束集,包含 True/False 决策
decisions = set(d for _, d in sets)
assert True in decisions
assert False in decisions
# 各叶子应有独立影响
all_constraints = [c for constraints, _ in sets for c in constraints]
fields_involved = set(c[0] for c in all_constraints)
assert "A" in fields_involved
assert "B" in fields_involved
def test_mcdc_or():
"""CO-08: OR (A = 1 OR B = 2) → 3 sets (MC/DC)"""
tree = CondOr(CondLeaf("A", "=", "1"), CondLeaf("B", "=", "2"))
sets = mcdc_sets(tree)
assert sets is not None
decisions = set(d for _, d in sets)
assert True in decisions
assert False in decisions
# ── is_field ──
def test_is_field_match():
"""字段名匹配"""
fields = [{"name": "WS-AMOUNT"}, {"name": "WS-STATUS"}]
assert is_field("WS-AMOUNT", fields) is True
def test_is_field_subscript():
"""带下标字段名匹配"""
fields = [{"name": "WS-ITEM-STATUS"}]
assert is_field("WS-ITEM-STATUS(WS-INDEX)", fields) is True
def test_is_field_no_match():
"""未知字段名返回 False"""
fields = [{"name": "WS-AMOUNT"}]
assert is_field("WS-OTHER", fields) is False
# ── satisfying_value ──
def test_satisfying_value_greater():
"""数值 > 条件: 返回值应大于给定值"""
from cobol_testgen.cond import satisfying_value
info = {"type": "numeric", "digits": 7, "decimal": 0}
r = satisfying_value(info, ">", "100", want_true=True)
assert int(r) > 100
def test_satisfying_value_equal_false():
"""= 条件 want=False: 返回不同值"""
from cobol_testgen.cond import satisfying_value
info = {"type": "numeric", "digits": 7, "decimal": 0}
r = satisfying_value(info, "=", "100", want_true=False)
assert int(r) != 100
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"""CO-DP-01~13: cobol_testgen cond 模块 — 深度条件测试 (MC/DC, 嵌套, 88-level, 性能)"""
import sys, os, time
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from cobol_testgen.cond import (
parse_single_condition, parse_compound_condition,
collect_leaves, evaluate_tree, mcdc_sets, satisfying_value,
)
from cobol_testgen.models import CondLeaf, CondAnd, CondOr, CondNot
# ══════════════════════════════════════════════════════════════════
# CO-DP-01: 3-layer nested AND/OR
# ══════════════════════════════════════════════════════════════════
def test_deep_nested_and_or_parse():
"""CO-DP-01: (A > 0 AND B < 5) OR (C = 1 AND NOT D > 10) — 3层嵌套解析"""
text = "(A > 0 AND B < 5) OR (C = 1 AND NOT D > 10)"
tree = parse_compound_condition(text)
assert tree is not None
# Root is CondOr
assert isinstance(tree, CondOr), f"Expected CondOr, got {type(tree).__name__}"
# Left leg: (A > 0 AND B < 5) → CondAnd
left = tree.left
assert isinstance(left, CondAnd), f"Left child expected CondAnd, got {type(left).__name__}"
assert isinstance(left.left, CondLeaf)
assert left.left.field == "A"
assert left.left.op == ">"
assert left.left.value == "0"
assert isinstance(left.right, CondLeaf)
assert left.right.field == "B"
assert left.right.op == "<"
assert left.right.value == "5"
# Right leg: (C = 1 AND NOT D > 10) → CondAnd(CondLeaf, CondNot(CondLeaf))
right = tree.right
assert isinstance(right, CondAnd), f"Right child expected CondAnd, got {type(right).__name__}"
assert isinstance(right.left, CondLeaf)
assert right.left.field == "C"
assert right.left.op == "="
assert right.left.value == "1"
assert isinstance(right.right, CondNot), f"Expected CondNot wrapping D, got {type(right.right).__name__}"
assert isinstance(right.right.child, CondLeaf)
assert right.right.child.field == "D"
assert right.right.child.op == ">"
assert right.right.child.value == "10"
# collect_leaves should return 4 leaves (NOT's child is still a leaf)
leaves = collect_leaves(tree)
assert len(leaves) == 4, f"Expected 4 leaves, got {len(leaves)}"
fields = [l.field for l in leaves]
assert "A" in fields and "B" in fields and "C" in fields and "D" in fields
def test_deep_nested_and_or_evaluate():
"""CO-DP-01b: evaluate_tree for 3-layer nested AND/OR"""
text = "(A > 0 AND B < 5) OR (C = 1 AND NOT D > 10)"
tree = parse_compound_condition(text)
leaves = collect_leaves(tree)
# Map field names to leaf objects
leaf_map = {l.field: l for l in leaves}
a = leaf_map["A"]
b = leaf_map["B"]
c = leaf_map["C"]
d = leaf_map["D"]
# (T AND T) OR (F AND NOT F) = T OR (F AND T) = T OR F = T
assert evaluate_tree(tree, {a: True, b: True, c: False, d: False}) is True
# (F AND T) OR (F AND NOT F) = F OR (F AND T) = F OR F = F
assert evaluate_tree(tree, {a: False, b: True, c: False, d: False}) is False
# (F AND F) OR (T AND NOT F) = F OR (T AND T) = F OR T = T
assert evaluate_tree(tree, {a: False, b: False, c: True, d: False}) is True
# (T AND T) OR (F AND NOT T) = T OR (F AND F) = T OR F = T
assert evaluate_tree(tree, {a: True, b: True, c: False, d: True}) is True
# (F AND F) OR (F AND NOT F) = F OR (F AND T) = F OR F = F
assert evaluate_tree(tree, {a: False, b: False, c: False, d: False}) is False
# (T AND T) OR (T AND NOT F) = T OR (T AND T) = T OR T = T
assert evaluate_tree(tree, {a: True, b: True, c: True, d: False}) is True
# (F AND T) OR (T AND NOT T) = F OR (T AND F) = F OR F = F
assert evaluate_tree(tree, {a: False, b: True, c: True, d: True}) is False
def test_deep_nested_and_or_mcdc():
"""CO-DP-01c: mcdc_sets for 3-layer nested AND/OR — should find >= 5 sets"""
text = "(A > 0 AND B < 5) OR (C = 1 AND NOT D > 10)"
tree = parse_compound_condition(text)
sets = mcdc_sets(tree)
assert sets is not None, "mcdc_sets should not return None for 4-leaf compound tree"
# With 4 leaves we expect at least 5 unique constraint sets
# (one "base" case + one showing independent effect per leaf at minimum)
assert len(sets) >= 5, f"Expected >= 5 MC/DC sets, got {len(sets)}"
assert len(sets) <= 8, f"Expected <= 8 MC/DC sets for 4-leaf, got {len(sets)}"
# Verify both True and False decision outcomes are present
decisions = set(d for _, d in sets)
assert True in decisions, "Should have True decision outcomes"
assert False in decisions, "Should have False decision outcomes"
# Verify all 4 leaves have their field referenced in constraints
all_field_names = set()
for constraints, _ in sets:
for c in constraints:
all_field_names.add(c[0])
for fname in ("A", "B", "C", "D"):
assert fname in all_field_names, f"Leaf {fname} not found in any MC/DC constraint"
# ══════════════════════════════════════════════════════════════════
# CO-DP-02: 88-level multi-value
# ══════════════════════════════════════════════════════════════════
def test_88_multi_value_resolve():
"""CO-DP-02: 88-level with multiple VALUES 'A' 'B' 'C' resolves to first value"""
fields = [
{
"is_88": True,
"name": "STATUS-VALID",
"parent": "WS-STATUS",
"value": "A",
"values": ["A", "B", "C"],
}
]
r = parse_single_condition("STATUS-VALID", fields)
assert r is not None, "88-level multi-value should resolve"
assert r[0] == "WS-STATUS", f"Expected parent WS-STATUS, got {r[0]}"
assert r[1] == "=", f"Expected operator '=', got {r[1]}"
# Current implementation uses f.get('value') which is the first value
assert r[2] == "A", f"Expected value 'A' (first in multi-value), got {r[2]}"
def test_88_multi_value_compound_parse():
"""CO-DP-02b: 88-level multi-value within compound expression"""
fields = [
{
"is_88": True,
"name": "STATUS-VALID",
"parent": "WS-STATUS",
"value": "A",
"values": ["A", "B", "C"],
},
{
"is_88": True,
"name": "AMOUNT-LARGE",
"parent": "WS-AMOUNT",
"value": "100",
},
]
tree = parse_compound_condition("STATUS-VALID AND AMOUNT-LARGE", fields)
assert tree is not None
assert isinstance(tree, CondAnd)
# Left: 88-level resolved to CondLeaf
assert isinstance(tree.left, CondLeaf)
assert tree.left.field == "WS-STATUS"
assert tree.left.value == "A"
assert tree.left.op == "="
# Right: 88-level resolved to CondLeaf
assert isinstance(tree.right, CondLeaf)
assert tree.right.field == "WS-AMOUNT"
assert tree.right.value == "100"
assert tree.right.op == "="
def test_88_multi_value_no_single_value():
"""CO-DP-02c: 88-level with only values[] (no single 'value') — current behavior"""
# Simulate a field that has values list but no single value key
fields = [
{
"is_88": True,
"name": "COLOR-RED",
"parent": "WS-COLOR",
"value": "RED",
}
]
r = parse_single_condition("COLOR-RED", fields)
assert r is not None
assert r[2] == "RED"
# Without a 'value' key, parse_single_condition returns empty string
fields_no_val = [
{
"is_88": True,
"name": "COLOR-RED",
"parent": "WS-COLOR",
"values": ["RED"],
}
]
# 'value' key missing entirely → f.get('value', '') returns ''
r2 = parse_single_condition("COLOR-RED", fields_no_val)
assert r2 is not None
assert r2[2] == "", f"Without value key, expected '', got '{r2[2]}'"
# ══════════════════════════════════════════════════════════════════
# CO-DP-03: Arithmetic expressions in conditions
# ══════════════════════════════════════════════════════════════════
def test_arithmetic_expr_add_mul():
"""CO-DP-03: A + B > C * 2 — arithmetic expression as leaf"""
r = parse_single_condition("A + B > C * 2")
assert r is not None, "Arithmetic expression A + B > C * 2 should parse"
# The field part is the whole left expression
assert "A + B" in r[0] or r[0] == "A + B", f"Expected left expr, got {r[0]}"
assert r[1] == ">", f"Expected operator '>', got {r[1]}"
assert "C * 2" in r[2] or r[2] == "C * 2", f"Expected right expr 'C * 2', got {r[2]}"
def test_arithmetic_expr_sub_eq():
"""CO-DP-03b: A - B = 5 — arithmetic expression with subtraction"""
r = parse_single_condition("A - B = 5")
assert r is not None, "Arithmetic expression A - B = 5 should parse"
assert r[1] == "=", f"Expected operator '=', got {r[1]}"
assert r[2] == "5", f"Expected value '5', got {r[2]}"
def test_arithmetic_expr_in_compound():
"""CO-DP-03c: Arithmetic expr in compound: X + Y > 10 OR A = 1"""
tree = parse_compound_condition("X + Y > 10 OR A = 1")
assert tree is not None
assert isinstance(tree, CondOr), f"Expected CondOr, got {type(tree).__name__}"
assert isinstance(tree.left, CondLeaf)
assert isinstance(tree.right, CondLeaf)
# Left leaf is the arithmetic expression
assert "X + Y" in tree.left.field or tree.left.field == "X + Y", \
f"Expected left expr 'X + Y', got '{tree.left.field}'"
assert tree.left.op == ">"
assert tree.right.field == "A"
assert tree.right.value == "1"
def test_arithmetic_expr_div():
"""CO-DP-03d: X / Y = 2 — division in condition"""
r = parse_single_condition("X / Y = 2")
assert r is not None, "X / Y = 2 should parse"
assert r[1] == "="
assert r[2] == "2"
# ══════════════════════════════════════════════════════════════════
# CO-DP-04: satisfying_value for ALL operators
# ══════════════════════════════════════════════════════════════════
def test_satisfying_value_numeric_all():
"""CO-DP-04: satisfying_value numeric — all 6 operators × want_true/False"""
info = {"type": "numeric", "digits": 7, "decimal": 0}
# --- want_true=True ---
# > should return value + 1
gt = satisfying_value(info, ">", "100", want_true=True)
assert int(gt) > 100, f"> want_true=True: expected >100, got {gt}"
# >= should return same (pass through)
ge = satisfying_value(info, ">=", "100", want_true=True)
assert int(ge) >= 100, f">= want_true=True: expected >=100, got {ge}"
# = should return same (pass through)
eq = satisfying_value(info, "=", "100", want_true=True)
assert int(eq) == 100, f"= want_true=True: expected 100, got {eq}"
# < should return value - 1
lt = satisfying_value(info, "<", "100", want_true=True)
assert int(lt) < 100, f"< want_true=True: expected <100, got {lt}"
# <= should return same (pass through)
le = satisfying_value(info, "<=", "100", want_true=True)
assert int(le) <= 100, f"<= want_true=True: expected <=100, got {le}"
# <> should return different value
ne = satisfying_value(info, "<>", "100", want_true=True)
assert int(ne) != 100, f"<> want_true=True: expected !=100, got {ne}"
# --- want_true=False ---
# > False → should set to 0 (so that condition is false)
gt_f = satisfying_value(info, ">", "100", want_true=False)
assert not (int(gt_f) > 100), f"> want_true=False: expected <=100, got {gt_f}"
# >= False → should set to 0
ge_f = satisfying_value(info, ">=", "100", want_true=False)
# Since >= is False, we want val < 100. Setting to 0 achieves this.
assert int(ge_f) < 100, f">= want_true=False: expected <100, got {ge_f}"
# = False → should return different value
eq_f = satisfying_value(info, "=", "100", want_true=False)
assert int(eq_f) != 100, f"= want_true=False: expected !=100, got {eq_f}"
# < False → should return same value (pass through)
lt_f = satisfying_value(info, "<", "100", want_true=False)
# want_true=False for < means we want >=, so keeping it at 100 works
assert int(lt_f) >= 100, f"< want_true=False: expected >=100, got {lt_f}"
# <= False → should return val + 1 (so condition fails because val > target)
le_f = satisfying_value(info, "<=", "100", want_true=False)
assert int(le_f) > 100, f"<= want_true=False: expected >100, got {le_f}"
# <> False → should return same value (pass through)
ne_f = satisfying_value(info, "<>", "100", want_true=False)
assert int(ne_f) == 100, f"<> want_true=False: expected 100, got {ne_f}"
def test_satisfying_value_alpha():
"""CO-DP-04b: satisfying_value alphanumeric — = and <> operators"""
info = {"type": "alphanumeric", "length": 3}
# = want_true=True → same letter repeated
eq = satisfying_value(info, "=", "ABC", want_true=True)
assert eq == "AAA", f"= want_true=True alpha: expected 'AAA', got '{eq}'"
# = want_true=False → different letter
eq_f = satisfying_value(info, "=", "ABC", want_true=False)
assert eq_f != "AAA", f"= want_true=False alpha: expected different from 'AAA', got '{eq_f}'"
assert len(eq_f) == 3
# <> want_true=True → different letter
ne = satisfying_value(info, "<>", "ABC", want_true=True)
assert ne != "AAA", f"<> want_true=True alpha: expected different from 'AAA', got '{ne}'"
assert len(ne) == 3
# <> want_true=False → same letter
ne_f = satisfying_value(info, "<>", "ABC", want_true=False)
assert ne_f == "AAA", f"<> want_true=False alpha: expected 'AAA', got '{ne_f}'"
def test_satisfying_value_alpha_single_char():
"""CO-DP-04c: satisfying_value alphabetic — single char values"""
info = {"type": "alphabetic", "length": 1}
eq = satisfying_value(info, "=", "Y", want_true=True)
assert eq == "Y", f"= want_true=True alpha(1): expected 'Y', got '{eq}'"
eq_f = satisfying_value(info, "=", "Y", want_true=False)
assert eq_f != "Y", f"= want_true=False alpha(1): expected not 'Y', got '{eq_f}'"
def test_satisfying_value_numeric_edge():
"""CO-DP-04d: satisfying_value numeric — edge cases (negative, decimal)"""
# Negative value
info_neg = {"type": "numeric", "digits": 5, "decimal": 0}
# > negative: should increment
gt = satisfying_value(info_neg, ">", "-5", want_true=True)
assert int(gt) > -5, f"> negative want_true=True: expected >-5, got {gt}"
# Decimal PIC (digits=5, decimal=2 means total 7, with 2 decimal places)
info_dec = {"type": "numeric", "digits": 5, "decimal": 2}
val = satisfying_value(info_dec, ">", "100", want_true=True)
# The value has 5 integer digits + 2 decimal digits = 7 total chars
# No dot, just concatenation: e.g., "0010100" means 00101.00
assert len(val) == 7, f"Expected 7 chars (5 int + 2 dec), got '{val}' (len={len(val)})"
# Verify > 100: the integer part (first 5 chars) should be > 100
int_part = int(val[:5])
dec_part = val[5:]
assert int_part > 100 or (int_part == 100 and int(dec_part) > 0), \
f"Expected > 100, got int_part={int_part}, dec={dec_part}"
def test_satisfying_value_figurative():
"""CO-DP-04e: satisfying_value — COBOL figurative constant fallback"""
# When value is non-numeric like 'ZERO', the float conversion may fail
info = {"type": "numeric", "digits": 5, "decimal": 0}
# non-numeric chars in value → val_float conversion fails → val_int = 0
result = satisfying_value(info, ">", "ABC", want_true=True)
assert result is not None
# val_int starts at 0, then increments by 1 for >=, so becomes 1
assert result == "00001", f"Expected '00001' (0+1), got '{result}'"
# ══════════════════════════════════════════════════════════════════
# CO-DP-05: Performance — 50-condition compound parse < 1s
# ══════════════════════════════════════════════════════════════════
def test_performance_50_and_conditions():
"""CO-DP-05: 50-condition AND chain parses in under 1 second"""
conditions = " AND ".join(f"A{i} > 0" for i in range(50))
start = time.time()
tree = parse_compound_condition(conditions)
elapsed = time.time() - start
assert elapsed < 1.0, \
f"Parsing 50 AND conditions took {elapsed:.3f}s (limit: 1.0s)"
assert tree is not None, "50-condition AND tree should not be None"
# Should be a deeply-nested CondAnd tree
leaves = collect_leaves(tree)
assert len(leaves) == 50, f"Expected 50 leaves, got {len(leaves)}"
# Verify field names are preserved
fields_found = {l.field for l in leaves}
for i in range(50):
assert f"A{i}" in fields_found, f"Field A{i} missing from parsed tree"
def test_performance_50_mixed_conditions():
"""CO-DP-05b: 50-condition mixed AND/OR with parens parses in under 1s"""
# Build: (A0 > 0 OR A1 > 0) AND (A2 > 0 OR A3 > 0) AND ...
pairs = []
for i in range(0, 50, 2):
pairs.append(f"(A{i} > 0 OR A{i+1} > 0)")
conditions = " AND ".join(pairs)
start = time.time()
tree = parse_compound_condition(conditions)
elapsed = time.time() - start
assert elapsed < 1.0, \
f"Parsing 50 mixed conditions took {elapsed:.3f}s (limit: 1.0s)"
assert tree is not None, "50-condition mixed tree should not be None"
leaves = collect_leaves(tree)
assert len(leaves) == 50, f"Expected 50 leaves, got {len(leaves)}"
# ══════════════════════════════════════════════════════════════════
# CO-DP-06: CondNot(CondNot(leaf)) — double negation
# ══════════════════════════════════════════════════════════════════
def test_double_negation_parse():
"""CO-DP-06: NOT NOT A > 0 → CondNot(CondNot(CondLeaf)) — no simplification"""
tree = parse_compound_condition("NOT NOT A > 0")
assert tree is not None
assert isinstance(tree, CondNot), f"Outer: expected CondNot, got {type(tree).__name__}"
assert isinstance(tree.child, CondNot), \
f"Inner: expected CondNot, got {type(tree.child).__name__}"
assert isinstance(tree.child.child, CondLeaf), \
f"Leaf: expected CondLeaf, got {type(tree.child.child).__name__}"
assert tree.child.child.field == "A"
assert tree.child.child.op == ">"
assert tree.child.child.value == "0"
# collect_leaves should descend through both NOTs
leaves = collect_leaves(tree)
assert len(leaves) == 1, f"Expected 1 leaf through double NOT, got {len(leaves)}"
assert leaves[0].field == "A"
def test_double_negation_evaluate():
"""CO-DP-06b: evaluate_tree with double negation — cancels out"""
tree = parse_compound_condition("NOT NOT A > 0")
leaves = collect_leaves(tree)
leaf = leaves[0]
# NOT NOT True = True
assert evaluate_tree(tree, {leaf: True}) is True, \
"NOT NOT True should be True"
# NOT NOT False = False
assert evaluate_tree(tree, {leaf: False}) is False, \
"NOT NOT False should be False"
def test_triple_negation():
"""CO-DP-06c: NOT NOT NOT A > 0 — odd negation flips"""
tree = parse_compound_condition("NOT NOT NOT A > 0")
assert tree is not None
leaves = collect_leaves(tree)
leaf = leaves[0]
# NOT (NOT (NOT True)) = NOT (NOT False) = NOT True = False
assert evaluate_tree(tree, {leaf: True}) is False, \
"NOT NOT NOT True should be False"
# NOT (NOT (NOT False)) = NOT (NOT True) = NOT False = True
assert evaluate_tree(tree, {leaf: False}) is True, \
"NOT NOT NOT False should be True"
# ══════════════════════════════════════════════════════════════════
# CO-DP-07: Mixed 3-level NOT/AND/OR evaluation
# ══════════════════════════════════════════════════════════════════
def test_evaluate_mixed_not_and_or_3level():
"""CO-DP-07: NOT (A > 0 AND B < 5) OR (C = 1 AND D <> 2) — mixed 3-level"""
text = "NOT (A > 0 AND B < 5) OR (C = 1 AND D <> 2)"
tree = parse_compound_condition(text)
assert tree is not None
# Root should be CondOr
assert isinstance(tree, CondOr), f"Root expected CondOr, got {type(tree).__name__}"
# Left: NOT (A AND B) → CondNot(CondAnd(A, B))
assert isinstance(tree.left, CondNot), \
f"Left child expected CondNot, got {type(tree.left).__name__}"
not_child = tree.left.child
assert isinstance(not_child, CondAnd), \
f"NOT child expected CondAnd, got {type(not_child).__name__}"
assert isinstance(not_child.left, CondLeaf)
assert not_child.left.field == "A"
assert isinstance(not_child.right, CondLeaf)
assert not_child.right.field == "B"
# Right: (C = 1 AND D <> 2) → CondAnd(C, D)
assert isinstance(tree.right, CondAnd), \
f"Right child expected CondAnd, got {type(tree.right).__name__}"
assert isinstance(tree.right.left, CondLeaf)
assert tree.right.left.field == "C"
assert tree.right.left.op == "="
assert tree.right.left.value == "1"
assert isinstance(tree.right.right, CondLeaf)
assert tree.right.right.field == "D"
assert tree.right.right.op == "<>"
assert tree.right.right.value == "2"
leaves = collect_leaves(tree)
leaf_map = {l.field: l for l in leaves}
assert len(leaf_map) == 4
a = leaf_map["A"]
b = leaf_map["B"]
c = leaf_map["C"]
d = leaf_map["D"]
# NOT (T AND T) OR (F AND T) = NOT T OR F = F OR F = F
assert evaluate_tree(tree, {a: True, b: True, c: False, d: True}) is False
# NOT (F AND T) OR (F AND T) = NOT F OR F = T OR F = T
assert evaluate_tree(tree, {a: False, b: True, c: False, d: True}) is True
# NOT (T AND F) OR (F AND T) = NOT F OR F = T OR F = T
assert evaluate_tree(tree, {a: True, b: False, c: False, d: True}) is True
# NOT (F AND F) OR (T AND T) = NOT F OR T = T OR T = T
assert evaluate_tree(tree, {a: False, b: False, c: True, d: True}) is True
# NOT (T AND T) OR (T AND T) = NOT T OR T = F OR T = T
assert evaluate_tree(tree, {a: True, b: True, c: True, d: True}) is True
# NOT (F AND T) OR (F AND F) = NOT F OR F = T OR F = T
assert evaluate_tree(tree, {a: False, b: True, c: False, d: False}) is True
# NOT (T AND T) OR (T AND F) = NOT T OR F = F OR F = F
assert evaluate_tree(tree, {a: True, b: True, c: True, d: False}) is False
# ══════════════════════════════════════════════════════════════════
# CO-DP-08: 3-input AND MC/DC — should find 4 sets
# ══════════════════════════════════════════════════════════════════
def test_mcdc_3input_and():
"""CO-DP-08: 3-input AND (A>0 AND B<5 AND C=1) → exactly 4 MC/DC sets"""
a = CondLeaf("A", ">", "0")
b = CondLeaf("B", "<", "5")
c = CondLeaf("C", "=", "1")
# Left-deep AND tree: ((A AND B) AND C)
tree = CondAnd(CondAnd(a, b), c)
sets = mcdc_sets(tree)
assert sets is not None, "mcdc_sets should not return None for 3-input AND"
assert len(sets) == 4, f"Expected 4 MC/DC sets for 3-input AND, got {len(sets)}"
# Build constraints lookup
# sets: list of (constraints_list, decision_outcome)
outcomes = {}
for constraints, decision in sets:
# constraint: (field, op, value, want_true)
key = tuple(
(c[0], c[3]) for c in sorted(constraints, key=lambda x: x[0])
)
outcomes[key] = decision
# The 4 required sets covering MC/DC for AND:
# 1. All True → decision True
all_true_key = (("A", True), ("B", True), ("C", True))
assert all_true_key in outcomes, \
f"Missing 'all true' set. Available keys: {list(outcomes.keys())}"
assert outcomes[all_true_key] is True, \
"All-true case should have decision=True"
# 2. A=False, B=True, C=True → shows A's independent effect → decision False
# (Only A flips relative to all-true)
a_effect_key = (("A", False), ("B", True), ("C", True))
assert a_effect_key in outcomes, \
"Missing A-independent-effect set (A=F, B=T, C=T)"
assert outcomes[a_effect_key] is False, \
"A=F should make AND False"
# 3. A=True, B=False, C=True → shows B's independent effect → decision False
b_effect_key = (("A", True), ("B", False), ("C", True))
assert b_effect_key in outcomes, \
"Missing B-independent-effect set (A=T, B=F, C=T)"
assert outcomes[b_effect_key] is False, \
"B=F should make AND False"
# 4. A=True, B=True, C=False → shows C's independent effect → decision False
c_effect_key = (("A", True), ("B", True), ("C", False))
assert c_effect_key in outcomes, \
"Missing C-independent-effect set (A=T, B=T, C=F)"
assert outcomes[c_effect_key] is False, \
"C=F should make AND False"
def test_mcdc_3input_and_parse():
"""CO-DP-08b: 3-input AND from parse_compound_condition → 4 sets"""
tree = parse_compound_condition("A > 0 AND B < 5 AND C = 1")
assert tree is not None
leaves = collect_leaves(tree)
assert len(leaves) == 3, f"Expected 3 leaves, got {len(leaves)}"
sets = mcdc_sets(tree)
assert sets is not None
assert len(sets) == 4, f"Expected 4 MC/DC sets from parsed 3-AND, got {len(sets)}"
# Verify all 3 leaves have independent effect shown
fields_with_false = set()
for constraints, decision in sets:
if decision is False:
false_fields = {c[0] for c in constraints if c[3] is False}
fields_with_false.update(false_fields)
assert "A" in fields_with_false, "A's independent effect not shown"
assert "B" in fields_with_false, "B's independent effect not shown"
assert "C" in fields_with_false, "C's independent effect not shown"
# ══════════════════════════════════════════════════════════════════
# CO-DP-09: 3-input OR MC/DC
# ══════════════════════════════════════════════════════════════════
def test_mcdc_3input_or():
"""CO-DP-09: 3-input OR (A=1 OR B=2 OR C=3) → exactly 4 MC/DC sets"""
a = CondLeaf("A", "=", "1")
b = CondLeaf("B", "=", "2")
c = CondLeaf("C", "=", "3")
tree = CondOr(CondOr(a, b), c)
sets = mcdc_sets(tree)
assert sets is not None
assert len(sets) == 4, f"Expected 4 MC/DC sets for 3-input OR, got {len(sets)}"
outcomes = {}
for constraints, decision in sets:
key = tuple(
(c[0], c[3]) for c in sorted(constraints, key=lambda x: x[0])
)
outcomes[key] = decision
# 1. All False → decision False
all_false_key = (("A", False), ("B", False), ("C", False))
assert all_false_key in outcomes, "Missing 'all false' set for OR"
assert outcomes[all_false_key] is False
# 2. A=True, B=False, C=False → A's independent effect
a_key = (("A", True), ("B", False), ("C", False))
assert a_key in outcomes, "Missing A-independent-effect set for OR"
assert outcomes[a_key] is True
# 3. A=False, B=True, C=False → B's independent effect
b_key = (("A", False), ("B", True), ("C", False))
assert b_key in outcomes, "Missing B-independent-effect set for OR"
assert outcomes[b_key] is True
# 4. A=False, B=False, C=True → C's independent effect
c_key = (("A", False), ("B", False), ("C", True))
assert c_key in outcomes, "Missing C-independent-effect set for OR"
assert outcomes[c_key] is True
# ══════════════════════════════════════════════════════════════════
# CO-DP-10: Edge cases — boundary and unusual inputs
# ══════════════════════════════════════════════════════════════════
def test_compound_no_fields_arg():
"""CO-DP-10a: parse_compound_condition without fields arg still works"""
tree = parse_compound_condition("A > 0 AND B < 5")
assert tree is not None
assert isinstance(tree, CondAnd)
def test_deep_chain_of_and():
"""CO-DP-10b: 10-input AND chain — all leaves collected correctly"""
text = " AND ".join(f"V{i} = {i}" for i in range(10))
tree = parse_compound_condition(text)
assert tree is not None
leaves = collect_leaves(tree)
assert len(leaves) == 10, f"Expected 10 leaves, got {len(leaves)}"
values = [(l.field, l.value) for l in leaves]
for i in range(10):
assert (f"V{i}", str(i)) in values, f"V{i} = {i} not found in tree"
def test_nested_parens_deep():
"""CO-DP-10c: Deeply nested parentheses — (((A > 0))) → CondLeaf"""
tree = parse_compound_condition("(((A > 0)))")
assert tree is not None
assert isinstance(tree, CondLeaf)
assert tree.field == "A"
def test_collect_leaves_on_leaf():
"""CO-DP-10d: collect_leaves on a single CondLeaf returns [leaf]"""
leaf = CondLeaf("X", "=", "1")
result = collect_leaves(leaf)
assert len(result) == 1
assert result[0] is leaf
def test_collect_leaves_on_empty_not():
"""CO-DP-10e: CondNot with CondNot leaf still returns leaves"""
leaf = CondLeaf("X", "=", "1")
tree = CondNot(CondNot(leaf))
leaves = collect_leaves(tree)
assert len(leaves) == 1
assert leaves[0] is leaf
def test_satisfying_value_zero_length():
"""CO-DP-10f: satisfying_value with zero digits — fallback to '0'"""
info = {"type": "unknown", "digits": 0, "decimal": 0}
result = satisfying_value(info, "=", "X", want_true=True)
# Falls through to return '0'.zfill(0) = ''
assert result is not None
# ══════════════════════════════════════════════════════════════════
# CO-DP-11: Compound with NOT wrapping sub-expressions
# ══════════════════════════════════════════════════════════════════
def test_not_wrapping_and():
"""CO-DP-11: NOT (A > 0 AND B < 5) — NOT wrapping AND"""
tree = parse_compound_condition("NOT (A > 0 AND B < 5)")
assert tree is not None
assert isinstance(tree, CondNot)
assert isinstance(tree.child, CondAnd)
leaves = collect_leaves(tree)
assert len(leaves) == 2
leaf = leaves[0] # A
# NOT (T AND T) = NOT T = F
assert evaluate_tree(tree, {leaf: True, leaves[1]: True}) is False
# NOT (F AND T) = NOT F = T
assert evaluate_tree(tree, {leaf: False, leaves[1]: True}) is True
def test_not_wrapping_or():
"""CO-DP-11b: NOT (A = 1 OR B = 2) — NOT wrapping OR"""
tree = parse_compound_condition("NOT (A = 1 OR B = 2)")
assert tree is not None
assert isinstance(tree, CondNot)
assert isinstance(tree.child, CondOr)
leaves = collect_leaves(tree)
assert len(leaves) == 2
assert evaluate_tree(tree, {leaves[0]: False, leaves[1]: False}) is True
assert evaluate_tree(tree, {leaves[0]: True, leaves[1]: False}) is False
# ══════════════════════════════════════════════════════════════════
# CO-DP-12: mcdc_sets edge cases
# ══════════════════════════════════════════════════════════════════
def test_mcdc_single_not_leaf():
"""CO-DP-12a: mcdc_sets on single NOT leaf returns None (only 1 leaf)"""
tree = CondNot(CondLeaf("A", ">", "0"))
# collect_leaves gives 1 leaf through the NOT
result = mcdc_sets(tree)
assert result is None, "Single leaf (even through NOT) should return None"
def test_mcdc_and_not_mix():
"""CO-DP-12b: mcdc_sets on (A=1 AND NOT B=2) — mixed AND/NOT"""
tree = CondAnd(
CondLeaf("A", "=", "1"),
CondNot(CondLeaf("B", "=", "2")),
)
sets = mcdc_sets(tree)
assert sets is not None
assert len(sets) >= 3, f"Expected >= 3 sets, got {len(sets)}"
# Verify B's independent effect
all_fields = set()
for constraints, decision in sets:
for c in constraints:
all_fields.add(c[0])
assert "A" in all_fields
assert "B" in all_fields
def test_mcdc_evaluate_consistency():
"""CO-DP-12c: All MC/DC constraints, when evaluated, produce the decision they claim"""
a = CondLeaf("A", ">", "0")
b = CondLeaf("B", "<", "5")
c = CondLeaf("C", "=", "1")
tree = CondAnd(CondAnd(a, b), c)
leaves = [a, b, c]
sets = mcdc_sets(tree)
assert sets is not None
for constraints, expected_decision in sets:
# Build assignment from constraints: (field, op, value, want_true)
assignment = {}
for constr in constraints:
field, op, value, want = constr
# Find matching leaf by field
for leaf in leaves:
if leaf.field == field:
assignment[leaf] = want
break
# Verify this assignment produces the claimed decision
actual = evaluate_tree(tree, assignment)
assert actual == expected_decision, (
f"MC/DC set inconsistency: expected decision={expected_decision}, "
f"but evaluate_tree returned {actual} for constraints={constraints}"
)
# ══════════════════════════════════════════════════════════════════
# CO-DP-13: NOT with <>, numeric edge cases in satisfying_value
# ══════════════════════════════════════════════════════════════════
def test_satisfying_value_not_via_want_false():
"""CO-DP-13: '= ... want_true=False' simulates COBOL 'NOT ='"""
info = {"type": "numeric", "digits": 5, "decimal": 0}
# The condition `NOT WS-FIELD = 100` is equivalent to `WS-FIELD <> 100`
# = want_true=False means we want value != target
eq_f = satisfying_value(info, "=", "100", want_true=False)
assert int(eq_f) != 100
# <> want_true=True also means we want value != target
ne = satisfying_value(info, "<>", "100", want_true=True)
assert int(ne) != 100
# They should both produce values != 100 (not necessarily the same value)
assert int(eq_f) != 100
assert int(ne) != 100
def test_mcdc_not_in_compound_all_outcomes():
"""CO-DP-13b: Verify MC/DC covers both True/False branches for NOT leaf"""
# (A = 1 AND NOT B = 2) — a simple 2-leaf case with a NOT
tree = parse_compound_condition("A = 1 AND NOT B = 2")
assert tree is not None
sets = mcdc_sets(tree)
assert sets is not None
decisions = set(d for _, d in sets)
assert True in decisions, "Should have a True decision branch"
assert False in decisions, "Should have a False decision branch"
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"""CE-01~09: cobol_testgen core 模块 — PROCEDURE DIVISION 解析 + 数据流"""
import sys, os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from cobol_testgen.core import (
scan_paragraphs, build_branch_tree, _basename, _init_child_names,
trace_to_root,
)
from cobol_testgen.models import BrSeq, BrIf, BrEval
# ── CE-01~02: scan_paragraphs ──
def test_scan_paragraphs_normal():
"""CE-01: 3段落扫描"""
lines = [
" MAIN-PROC.",
" MOVE 1 TO A.",
" SUB-ROUTINE.",
" MOVE 2 TO B.",
" CLEANUP.",
" MOVE 0 TO C.",
]
paras = scan_paragraphs(lines)
assert len(paras) == 3
assert "MAIN-PROC" in paras
assert "SUB-ROUTINE" in paras
assert "CLEANUP" in paras
def test_scan_paragraphs_scope_enders():
"""段落不以作用域结束符命名"""
for ender in ["END-IF", "ELSE", "WHEN", "OTHER", "END-PERFORM"]:
lines = [f" {ender}."]
paras = scan_paragraphs(lines)
assert ender not in paras
def test_scan_paragraphs_section():
"""SECTION 也被识别"""
lines = [
" MAIN SECTION.",
" MOVE 1 TO A.",
" END SECTION.",
]
paras = scan_paragraphs(lines)
assert "MAIN" in paras
def test_scan_paragraphs_empty():
"""空行 → 空段落"""
assert scan_paragraphs([]) == {}
def test_scan_paragraphs_only_code():
"""无段落标记的纯代码 → 空"""
lines = [" MOVE 1 TO A.", " DISPLAY A."]
assert scan_paragraphs(lines) == {}
# ── CE-03~06: build_branch_tree ──
def test_build_branch_tree_if():
"""CE-03: IF 语句 → BrIf 节点"""
proc_text = " MAIN-PROC.\n IF A > 100\n MOVE 1 TO B\n ELSE\n MOVE 2 TO B\n END-IF."
tree, assignments = build_branch_tree(proc_text)
assert tree is not None
assert len(tree.children) > 0
# find the BrIf node
def find_if(seq):
for c in seq.children:
if isinstance(c, BrIf):
return c
return None
brif = find_if(tree)
assert brif is not None, "BrIf node should exist"
assert brif.condition is not None
def test_build_branch_tree_empty():
"""空 PROCEDURE DIVISION → BrSeq"""
tree, _ = build_branch_tree("")
assert isinstance(tree, BrSeq)
def test_build_branch_tree_no_branches():
"""纯 MOVE 语句无分支"""
proc_text = " MAIN-PROC.\n MOVE 1 TO A.\n MOVE 2 TO B."
tree, _ = build_branch_tree(proc_text)
assert isinstance(tree, BrSeq)
assert len(tree.children) >= 2
def test_build_branch_tree_evaluate():
"""CE-04: EVALUATE → BrEval 节点"""
proc_text = " MAIN-PROC.\n EVALUATE X\n WHEN 1\n MOVE 1 TO A\n WHEN 2\n MOVE 2 TO A\n WHEN OTHER\n MOVE 0 TO A\n END-EVALUATE."
tree, _ = build_branch_tree(proc_text)
def find_eval(seq):
for c in seq.children:
if isinstance(c, BrEval):
return c
return None
breval = find_eval(tree)
assert breval is not None, "BrEval node should exist"
assert breval.has_other
def test_build_branch_tree_nested_if():
"""CE-03 延伸: 嵌套 IF"""
proc_text = " MAIN-PROC.\n IF A > 0\n IF B < 5\n MOVE 1 TO C\n END-IF\n END-IF."
tree, _ = build_branch_tree(proc_text)
assert isinstance(tree, BrSeq)
assert len(tree.children) > 0
# ── _basename ──
def test_basename_simple():
"""无下标 → 原名返回"""
assert _basename("WS-AMOUNT") == "WS-AMOUNT"
def test_basename_subscript():
"""有下标 → 去除下标"""
assert _basename("WS-TABLE(1)") == "WS-TABLE"
def test_basename_nested_subscript():
"""嵌套下标 WS-TABLE(WS-INDEX)"""
assert _basename("WS-TABLE(WS-INDEX)") == "WS-TABLE"
# ── _init_child_names ──
def test_init_child_names_basic():
"""组字段收集子字段"""
fields = [
{"name": "WS-GROUP", "level": 5},
{"name": "WS-ITEM1", "level": 10, "pic_info": {"type": "numeric"}},
{"name": "WS-ITEM2", "level": 10, "pic_info": {"type": "numeric"}},
]
children = _init_child_names("WS-GROUP", fields)
assert "WS-ITEM1" in children
assert "WS-ITEM2" in children
# ── trace_to_root ──
def test_trace_to_root_direct():
"""直接赋值追溯"""
assignments = {"WS-RESULT": [{"source_vars": ["WS-INPUT"]}]}
root, chain = trace_to_root("WS-RESULT", assignments, [])
assert root == "WS-INPUT"
assert len(chain) >= 1
def test_trace_to_root_no_source():
"""无源字段 → 自身"""
assignments = {"WS-RESULT": [{"source_vars": []}]}
root, chain = trace_to_root("WS-RESULT", assignments, [])
assert root == "WS-RESULT"
def test_trace_to_root_chain():
"""多级追溯 WS-RESULT → WS-TEMP → WS-INPUT"""
assignments = {
"WS-RESULT": [{"source_vars": ["WS-TEMP"]}],
"WS-TEMP": [{"source_vars": ["WS-INPUT"]}],
}
root, chain = trace_to_root("WS-RESULT", assignments, [])
assert root == "WS-INPUT"
assert len(chain) == 2
def test_trace_to_root_cycle():
"""循环引用 → 不无限循环"""
assignments = {
"WS-A": [{"source_vars": ["WS-B"]}],
"WS-B": [{"source_vars": ["WS-A"]}],
}
root, chain = trace_to_root("WS-A", assignments, [])
assert root is not None
assert isinstance(chain, list)
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"""CV-01~08: cobol_testgen coverage 模块 — 决策点收集 + 覆盖率标记 + HTML"""
import sys, os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from cobol_testgen.models import BrSeq, BrIf, BrEval
from cobol_testgen.coverage import (
collect_decision_points, DecisionPoint, LeafStat, mark_coverage,
locate_decision_lines, check_coverage,
)
# ── CV-01~03: collect_decision_points ──
def _simple_if_tree():
root = BrSeq()
br = BrIf("A > 100")
root.add(br)
return root
def _evaluate_tree(num_whens=4):
root = BrSeq()
be = BrEval("WS-STATUS")
for i in range(num_whens):
be.when_list.append((f"WHEN {i}", BrSeq()))
be.has_other = True
root.add(be)
return root
def test_collect_if():
"""CV-01: IF 1个 → 1个决策点"""
pts, leaves = collect_decision_points(_simple_if_tree(), [])
assert len(pts) == 1
assert pts[0].kind == "IF"
def test_collect_evaluate():
"""CV-02: EVALUATE 4 WHEN + OTHER → 1决策点"""
pts, leaves = collect_decision_points(_evaluate_tree(4), [])
assert len(pts) == 1
assert pts[0].kind == "EVALUATE"
assert len(pts[0].branch_names) >= 4
def test_collect_empty():
"""空 BrSeq → 0个决策点"""
pts, leaves = collect_decision_points(BrSeq(), [])
assert len(pts) == 0
def test_collect_nested():
"""嵌套 IF → 2个决策点"""
root = BrSeq()
outer = BrIf("A > 0")
inner = BrIf("B < 5")
outer.true_seq.add(inner)
root.add(outer)
pts, leaves = collect_decision_points(root, [])
assert len(pts) == 2
# ── CV-04~06: mark_coverage ──
def test_mark_full_coverage():
"""CV-04: 全部分支有测试 → 覆盖率 > 0"""
dp = DecisionPoint(id=1, kind="IF", label="A > 100",
branch_names=["T", "F"])
dp.active_branches = {"T", "F"}
dp.leaves = [
LeafStat(field="A", op=">", value="100", covered_true=True, covered_false=True),
]
mark_coverage([dp], {}, [], [])
# mark_coverage updates implied/active branches based on leaf coverage
# checked: at minimum, function runs without error
assert dp.source_line >= 0 # benign assert
def test_mark_partial():
"""CV-05: 部分覆盖 — 函数本身运行即可"""
dp = DecisionPoint(id=1, kind="IF", label="A > 100",
branch_names=["T", "F"])
dp.active_branches = {"T", "F"}
dp.leaves = [
LeafStat(field="A", op=">", value="100", covered_true=True, covered_false=False),
]
mark_coverage([dp], {}, [], [])
# function should not crash
def test_mark_no_coverage():
"""CV-06: 无测试数据 → 0覆盖"""
dp = DecisionPoint(id=1, kind="IF", label="A > 100",
branch_names=["T", "F"])
dp.active_branches = {"T", "F"}
dp.leaves = [
LeafStat(field="A", op=">", value="100", covered_true=False, covered_false=False),
]
mark_coverage([dp], {}, [], [])
# function should not crash
# ── locate_decision_lines ──
def test_locate_if_line():
"""CV-07: IF 定位到第1行"""
dp = DecisionPoint(id=1, kind="IF", label="A > 100", branch_names=["T", "F"])
raw = " IF A > 100\n MOVE 1 TO B\n END-IF."
locate_decision_lines([dp], raw)
assert dp.source_line == 1
def test_locate_evaluate_line():
"""EVALUATE 定位"""
dp = DecisionPoint(id=1, kind="EVALUATE", label="WS-STATUS", branch_names=["W1", "W2"])
raw = " EVALUATE WS-STATUS\n WHEN 1 ..."
locate_decision_lines([dp], raw)
assert dp.source_line == 1
def test_locate_not_found():
"""不存在的决策点 → source_line=0"""
dp = DecisionPoint(id=99, kind="IF", label="NEVER-USED", branch_names=["T"])
locate_decision_lines([dp], " MOVE 1 TO A.")
assert dp.source_line == 0
# ── check_coverage ──
def test_check_coverage_empty():
"""空 structure → note 有描述"""
result = check_coverage({"branches": 0}, [])
assert isinstance(result, dict)
def test_check_coverage_no_records():
"""有 structure 无记录"""
result = check_coverage({"branches": 5, "decisions": 3}, [])
assert isinstance(result, dict)
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"""Deep coverage tests: HTML report, SEARCH/EVALUATE/PERFORM coverage, locate, index"""
import sys, os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from cobol_testgen.models import BrSeq, CondLeaf
from cobol_testgen.coverage import (
DecisionPoint, LeafStat,
mark_coverage, generate_html_report, generate_coverage_index,
locate_decision_lines, check_coverage,
)
# ── 1. generate_html_report ──
def test_generate_html_report_full(tmp_path):
"""Generate full HTML report with known DecisionPoint data — assert table, branch rate, decision points"""
dps = [
DecisionPoint(id=1, kind="IF", label="A > 100",
branch_names=["T", "F"],
active_branches={"T"},
implied_branches={"T"},
source_line=4),
DecisionPoint(id=2, kind="EVALUATE", label="WS-STATUS",
branch_names=["WHEN 1", "WHEN 2", "OTHER"],
active_branches={"WHEN 1"},
implied_branches={"WHEN 1"},
source_line=7),
]
leaves = [
LeafStat(field="A", op=">", value="100", covered_true=True, covered_false=False),
LeafStat(field="B", op="=", value="1", covered_true=False, covered_false=False),
]
source_lines = [
" IDENTIFICATION DIVISION.",
" PROGRAM-ID. TESTPGM.",
" PROCEDURE DIVISION.",
" IF A > 100",
" MOVE 1 TO B",
" END-IF.",
" EVALUATE WS-STATUS",
" WHEN 1 ...",
" END-EVALUATE.",
" STOP RUN.",
]
outpath = tmp_path / "TESTPGM_coverage.html"
generate_html_report(dps, leaves, source_lines, outpath, filename="TESTPGM")
html = outpath.read_text(encoding="utf-8")
# HTML structure
assert "<table" in html, "Should contain <table> for decision point list"
assert "覆盖率报告" in html, "Should contain report title"
assert "TESTPGM" in html, "Should contain program name in title"
# Branch rate percentage
# total=5, covered=2 → 40.0%
assert "40.0%" in html or "2/5" in html
# Coverage section texts
assert "决策覆盖率" in html
assert "条件覆盖率" in html
# Decision point list items
assert "#1" in html
assert "#2" in html
assert "IF" in html
assert "EVALUATE" in html
assert "branch-true" in html
assert "branch-false" in html
# Leaf stats table
assert "A" in html
assert "B" in html
# Source lines
assert "IF A > 100" in html
assert "EVALUATE WS-STATUS" in html
assert "hl-green" in html # IF line is fully covered
def test_generate_html_report_no_decision_points(tmp_path):
"""No decision points → no branch table, no SVG"""
outpath = tmp_path / "empty_report.html"
generate_html_report([], [], [], outpath, filename="EMPTYPGM")
html = outpath.read_text(encoding="utf-8")
assert "EMPTYPGM" in html
# No DP table rows (0个决策点 shown as stat)
assert "0个" in html or "0%" in html
# Still has the summary section
assert "覆盖率概要" in html
# ── 2. BrSearch (SEARCH ALL) coverage via _mark_search ──
def test_mark_search_covered_first_branch():
"""SEARCH ALL DecisionPoint with CondLeaf when_list — first WHEN branch covered"""
dp = DecisionPoint(id=1, kind="SEARCH", label="WS-TABLE",
branch_names=["WHEN A > 100", "WHEN B = 50", "AT END"])
dp.when_list = [
("A > 100", BrSeq()),
("B = 50", BrSeq()),
]
dp.cond_trees = [
CondLeaf("A", ">", "100"),
CondLeaf("B", "=", "50"),
]
dp.has_other = True
leaf_stats = []
branch_paths = [
([("A", ">", "100", True)], []),
]
mark_coverage([dp], leaf_stats, branch_paths, [])
assert "WHEN A > 100" in dp.active_branches
assert "AT END" not in dp.active_branches
assert "WHEN B = 50" not in dp.active_branches
def test_mark_search_covered_at_end():
"""SEARCH ALL — no WHEN matches → AT END covered"""
dp = DecisionPoint(id=1, kind="SEARCH", label="WS-TABLE",
branch_names=["WHEN K > 10", "AT END"])
dp.when_list = [
("K > 10", BrSeq()),
]
dp.cond_trees = [
CondLeaf("K", ">", "10"),
]
dp.has_other = True
leaf_stats = []
# K <= 10 → no WHEN matches
branch_paths = [
([("K", ">", "10", False)], []),
]
mark_coverage([dp], leaf_stats, branch_paths, [])
assert "AT END" in dp.active_branches
assert "WHEN K > 10" not in dp.active_branches
def test_mark_search_compound_condition():
"""SEARCH ALL with compound condition tree"""
dp = DecisionPoint(id=1, kind="SEARCH", label="WS-TABLE",
branch_names=["WHEN A>1 AND B<9", "AT END"])
dp.when_list = [
("A > 1 AND B < 9", BrSeq()),
]
# Build compound tree: CondAnd(CondLeaf("A", ">", "1"), CondLeaf("B", "<", "9"))
dp.cond_trees = [
type('obj', (object,), {
'field': 'dummy', 'op': '=', 'value': '0',
'__class__': CondLeaf.__class__,
}) # won't be used — tree is CondAnd type
]
# Actually use a proper tree
from cobol_testgen.models import CondAnd
dp.cond_trees = [
CondAnd(CondLeaf("A", ">", "1"), CondLeaf("B", "<", "9"))
]
dp.has_other = True
leaf_stats = []
branch_paths = [
([("A", ">", "1", True), ("B", "<", "9", True)], []),
]
mark_coverage([dp], leaf_stats, branch_paths, [])
assert "WHEN A>1 AND B<9" in dp.active_branches
assert "AT END" not in dp.active_branches
# ── 3. BrEval with multiple subjects (ALSO) — _mark_eval ──
def test_mark_eval_simple():
"""EVALUATE with subject match via constraint field=subject"""
dp = DecisionPoint(id=1, kind="EVALUATE", label="WS-STATUS",
branch_names=["WHEN 1", "WHEN 2", "OTHER"])
dp.when_list = [
("1", BrSeq()),
("2", BrSeq()),
]
leaf_stats = []
branch_paths = [
([("WS-STATUS", "=", "1", True)], []),
]
mark_coverage([dp], leaf_stats, branch_paths, [])
assert "WHEN 1" in dp.active_branches
assert "WHEN 2" not in dp.active_branches
assert "OTHER" not in dp.active_branches
def test_mark_eval_other_branch():
"""EVALUATE — not_in constraint triggers OTHER"""
dp = DecisionPoint(id=1, kind="EVALUATE", label="WS-STATUS",
branch_names=["WHEN 1", "WHEN 2", "OTHER"])
dp.when_list = [
("1", BrSeq()),
("2", BrSeq()),
]
leaf_stats = []
branch_paths = [
([("WS-STATUS", "not_in", "", True)], []),
]
mark_coverage([dp], leaf_stats, branch_paths, [])
assert "OTHER" in dp.active_branches
def test_mark_eval_true_subject():
"""EVALUATE TRUE with matched WHEN branch"""
dp = DecisionPoint(id=1, kind="EVALUATE", label="TRUE",
branch_names=["WHEN A > 100", "WHEN B = 0", "OTHER"])
dp.when_list = [
("A > 100", BrSeq()),
("B = 0", BrSeq()),
]
leaf_stats = []
branch_paths = [
([("A", ">", "100", True)], []),
]
mark_coverage([dp], leaf_stats, branch_paths, [])
assert "WHEN A > 100" in dp.active_branches
# ── 4. BrPerform UNTIL — _mark_perform ──
def test_mark_perform_until_skip():
"""PERFORM UNTIL condition true → Skip branch active"""
dp = DecisionPoint(id=1, kind="PERFORM", label="A > 100",
branch_names=["Enter", "Skip"])
# Simulate the "parsed" attribute set by collect_decision_points
dp.parsed = ("A", ">", "100")
leaf_stats = []
branch_paths = [
([("A", ">", "100", True)], []),
]
mark_coverage([dp], leaf_stats, branch_paths, [])
assert "Skip" in dp.active_branches
assert "Enter" not in dp.active_branches
def test_mark_perform_until_enter():
"""PERFORM UNTIL condition false → Enter branch active"""
dp = DecisionPoint(id=1, kind="PERFORM", label="A > 100",
branch_names=["Enter", "Skip"])
dp.parsed = ("A", ">", "100")
leaf_stats = []
branch_paths = [
([("A", ">", "100", False)], []),
]
mark_coverage([dp], leaf_stats, branch_paths, [])
assert "Enter" in dp.active_branches
assert "Skip" not in dp.active_branches
def test_mark_perform_until_compound():
"""PERFORM UNTIL with compound condition tree"""
from cobol_testgen.models import CondAnd
leaf_a = CondLeaf("A", ">", "100")
leaf_b = CondLeaf("B", "<", "50")
dp = DecisionPoint(id=1, kind="PERFORM", label="A > 100 AND B < 50",
branch_names=["Enter", "Skip"])
dp.cond_tree = CondAnd(leaf_a, leaf_b)
dp.cond_leaves = [leaf_a, leaf_b]
leaf_stats = []
branch_paths = [
([("A", ">", "100", True), ("B", "<", "50", True)], []),
]
mark_coverage([dp], leaf_stats, branch_paths, [])
assert "Skip" in dp.active_branches
def test_mark_perform_until_compound_false():
"""PERFORM UNTIL compound false → Enter active"""
from cobol_testgen.models import CondAnd
leaf_a = CondLeaf("A", ">", "100")
leaf_b = CondLeaf("B", "<", "50")
dp = DecisionPoint(id=1, kind="PERFORM", label="A > 100 AND B < 50",
branch_names=["Enter", "Skip"])
dp.cond_tree = CondAnd(leaf_a, leaf_b)
dp.cond_leaves = [leaf_a, leaf_b]
leaf_stats = []
branch_paths = [
([("A", ">", "100", True), ("B", "<", "50", False)], []),
]
mark_coverage([dp], leaf_stats, branch_paths, [])
assert "Enter" in dp.active_branches
# ── 5. locate_decision_lines with real COBOL ──
def test_locate_decision_lines_complex():
"""Mixed IF/EVALUATE/SEARCH ALL COBOL source → correct line numbers"""
source = """ IDENTIFICATION DIVISION.
PROGRAM-ID. TESTPGM.
DATA DIVISION.
WORKING-STORAGE SECTION.
01 WS-A PIC 9(4).
PROCEDURE DIVISION.
IF WS-A > 100
MOVE 1 TO B
END-IF.
EVALUATE WS-A
WHEN 1
MOVE 'A' TO B
WHEN 2
MOVE 'B' TO B
WHEN OTHER
MOVE 'C' TO B
END-EVALUATE.
SEARCH ALL WS-TABLE
AT END DISPLAY 'NOT FOUND'
WHEN WS-KEY = 1 DISPLAY 'FOUND'
END-SEARCH.
STOP RUN.
END PROGRAM TESTPGM."""
dps = [
DecisionPoint(id=1, kind="IF", label="WS-A > 100",
branch_names=["T", "F"]),
DecisionPoint(id=2, kind="EVALUATE", label="WS-A",
branch_names=["WHEN 1", "WHEN 2", "OTHER"]),
# SEARCH kind is not located by _build_search_patterns, expect 0
DecisionPoint(id=3, kind="SEARCH", label="WS-TABLE",
branch_names=["WHEN K=1", "AT END"]),
]
locate_decision_lines(dps, source)
assert dps[0].source_line == 7 # IF WS-A > 100
assert dps[1].source_line == 10 # EVALUATE WS-A
assert dps[2].source_line == 0 # SEARCH not located (no pattern)
# ── 6. check_coverage with real-style structure ──
def test_check_coverage_with_structure():
"""Real-style structure dict with decision_points list and records"""
structure = {
"total_paragraphs": 5,
"total_branches": 10,
"decision_points": [
{"kind": "IF", "branch_names": ["T", "F"]},
{"kind": "EVALUATE", "branch_names": ["W1", "W2", "OTHER"]},
],
}
test_records = [{"id": 1, "case": "CASE01"}, {"id": 2, "case": "CASE02"}]
result = check_coverage(structure, test_records)
assert isinstance(result, dict)
assert result["paragraph_rate"] == 1.0 # has records + paragraphs > 0
assert result["branch_rate"] == 0.0 # static analysis limitation
assert result["decision_rate"] == 0.0
assert result["total_branches"] == 10
assert result["total_paragraphs"] == 5
assert result["records_count"] == 2
assert "gcov" in result["note"]
def test_check_coverage_no_records():
"""No test records → paragraph_rate = 0.0"""
structure = {"total_paragraphs": 3, "total_branches": 5, "decision_points": []}
result = check_coverage(structure, [])
assert result["paragraph_rate"] == 0.0
assert result["records_count"] == 0
def test_check_coverage_no_paragraphs():
"""No paragraphs but records exist → paragraph_rate = 0.0"""
structure = {"total_paragraphs": 0, "total_branches": 5, "decision_points": []}
result = check_coverage(structure, [{"id": 1}])
assert result["paragraph_rate"] == 0.0
# ── 7. generate_coverage_index with 2 programs ──
def test_generate_coverage_index_two_programs(tmp_path):
"""Index page with 2 programs → HTML contains both names and SVG ring charts"""
programs = [
{
"name": "PGM001",
"detail_relpath": "../PGM001_coverage.html",
"total_branches": 5,
"covered_branches": 4,
"implied_branches": 4,
"total_conditions": 6,
"covered_conditions": 5,
},
{
"name": "PGM002",
"detail_relpath": "../PGM002_coverage.html",
"total_branches": 3,
"covered_branches": 3,
"implied_branches": 3,
"total_conditions": 4,
"covered_conditions": 4,
},
]
generate_coverage_index(programs, str(tmp_path))
index_path = tmp_path / "coverage" / "index.html"
assert index_path.exists()
html = index_path.read_text(encoding="utf-8")
# Both program names
assert "PGM001" in html
assert "PGM002" in html
# Links to detail pages
assert "PGM001_coverage.html" in html
assert "PGM002_coverage.html" in html
# SVG ring chart
assert "<svg" in html
assert "circle" in html
assert "100%" in html or "80.0%" # PGM002 is 100%, PGM001 is 80%
# Coverage text
assert "覆盖率总览" in html
assert "决策覆盖率" in html
assert "条件覆盖率" in html
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"""DE-01~08: cobol_testgen design 模块 — 路径枚举 + 值生成 + 约束应用"""
import sys, os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from cobol_testgen.design import (
enum_paths, _filter_stop, _cap_paths,
apply_constraint, make_base_record, generate_records,
sync_redefined_fields, apply_occurs_depending, _STOP,
)
from cobol_testgen.models import BrSeq, BrIf, BrEval, Assign
# ── DE-01: enum_paths ──
def test_enum_paths_assign():
"""赋值节点 → 单路径含 assignment"""
node = Assign("WS-RESULT", {"source": "MOVE", "source_vars": ["WS-INPUT"]})
paths = enum_paths(node, [])
assert len(paths) == 1
_, assignments = paths[0]
assert "WS-RESULT" in assignments
def test_enum_paths_empty():
"""空 BrSeq → 单路径"""
paths = enum_paths(BrSeq(), [])
assert len(paths) >= 1
# ── _filter_stop / _cap_paths ──
def test_filter_stop_removes_stop():
"""_filter_stop 移除 __STOP__"""
cons = [("A", ">", "0", True), _STOP, ("B", "<", "5", True)]
filtered = _filter_stop(cons)
assert len(filtered) == 2
def test_cap_paths_within_limit():
"""限制内全部保留"""
paths = [(f"p{i}", {}) for i in range(10)]
capped = _cap_paths(paths)
assert len(capped) == 10
# ── apply_constraint ──
def test_apply_constraint_numeric():
"""DE-02: 数值约束 field > 100"""
rec = {"WS-AMOUNT": 0}
fields = [{"name": "WS-AMOUNT", "pic": "9(7)", "pic_info": {"type": "numeric", "digits": 7, "decimal": 0}}]
apply_constraint(rec, "WS-AMOUNT", ">", "100", True, fields)
assert int(rec["WS-AMOUNT"]) > 100
def test_apply_constraint_alpha():
"""DE-03: 文字约束 field = 'ABC'"""
rec = {"WS-CODE": " " * 3}
fields = [{"name": "WS-CODE", "pic": "X(3)", "pic_info": {"type": "alphanumeric", "length": 3}}]
apply_constraint(rec, "WS-CODE", "=", "ABC", True, fields)
# 由于 fill 策略,可能是字首字母重复填充
val = rec["WS-CODE"]
assert isinstance(val, str) and len(val) == 3
# ── make_base_record ──
def test_make_base_record():
"""DE-08: 序列值 基础记录"""
fields = [{"name": "WS-AMOUNT", "pic": "9(7)", "pic_info": {"type": "numeric", "digits": 7, "decimal": 0}}]
rec = make_base_record(1, fields)
assert "WS-AMOUNT" in rec
# ── generate_records ──
def test_generate_records_basic():
"""DE-05: 已知路径生成记录"""
paths = [([("WS-AMOUNT", ">", "100", True)], {})]
fields = [{"name": "WS-AMOUNT", "pic": "9(7)", "pic_info": {"type": "numeric", "digits": 7, "decimal": 0}}]
records, path_out = generate_records(paths, fields)
assert len(records) >= 1
assert "WS-AMOUNT" in records[0]
def test_generate_records_empty_paths():
"""空路径 → 1条基础记录"""
records, path_out = generate_records([], [])
assert len(records) == 1 # 实现默认生成一条基础记录
assert isinstance(records[0], dict)
# ── sync_redefined_fields / apply_occurs_depending ──
def test_sync_redefined():
"""DE-06: REDEFINES 字段同步"""
rec = {"WS-BLOCK": "12345", "WS-BLOCK-REDEF": ""}
fields = [
{"name": "WS-BLOCK", "pic": "X(5)", "pic_info": {"type": "alphanumeric", "length": 5}, "offset": 0, "length": 5},
{"name": "WS-BLOCK-REDEF", "redefines": "WS-BLOCK", "pic": "9(5)", "pic_info": {"type": "numeric", "digits": 5, "decimal": 0}, "offset": 0, "length": 5},
]
# 只是验证不崩溃
sync_redefined_fields(rec, fields)
assert True
def test_apply_occurs_depending():
"""DE-07: ODO 依赖字段设置"""
rec = {"WS-TABLE-SIZE": 5, "WS-TABLE": ""}
fields = [
{"name": "WS-TABLE-SIZE", "pic": "9(2)", "pic_info": {"type": "numeric", "digits": 2, "decimal": 0}},
{"name": "WS-TABLE", "occurs_depending": "WS-TABLE-SIZE", "pic_info": {"type": "numeric", "digits": 5, "decimal": 0}},
]
# 验证不崩溃
apply_occurs_depending(rec, fields)
assert True
@@ -0,0 +1,294 @@
"""cobol_testgen 测试用例生成能力 — 全场景全分支验证
"""
import sys, os, tempfile, time
from pathlib import Path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
import pytest
from cobol_testgen import extract_structure, generate_data, incremental_supplement
from cobol_testgen.coverage import check_coverage, generate_html_report, collect_decision_points
# -----------------------------------------------------------
# COBOL 场景样本
# -----------------------------------------------------------
S_IF = """
IDENTIFICATION DIVISION.
PROGRAM-ID. IFBASIC.
DATA DIVISION.
WORKING-STORAGE SECTION.
01 WS-A PIC 9(4).
01 WS-B PIC 9(4).
PROCEDURE DIVISION.
MAIN-PROC.
MOVE 100 TO WS-A.
IF WS-A > 50
MOVE 1 TO WS-B
ELSE
MOVE 2 TO WS-B
END-IF.
STOP RUN.
""".strip()
S_NESTED = """
IDENTIFICATION DIVISION.
PROGRAM-ID. NESTED.
DATA DIVISION.
WORKING-STORAGE SECTION.
01 WS-A PIC 9(4).
01 WS-B PIC 9(4).
01 WS-D PIC 9(2).
PROCEDURE DIVISION.
MAIN-PROC.
MOVE 50 TO WS-A.
MOVE 10 TO WS-D.
IF WS-A > 30
IF WS-D > 5
MOVE 1 TO WS-B
ELSE
MOVE 2 TO WS-B
END-IF
ELSE
MOVE 3 TO WS-B
END-IF.
STOP RUN.
""".strip()
S_EVAL = """
IDENTIFICATION DIVISION.
PROGRAM-ID. EVALTEST.
DATA DIVISION.
WORKING-STORAGE SECTION.
01 WS-A PIC 9(4).
01 WS-D PIC 9(2).
PROCEDURE DIVISION.
MAIN-PROC.
MOVE 2 TO WS-D.
EVALUATE WS-D
WHEN 1 MOVE 10 TO WS-A
WHEN 2 MOVE 20 TO WS-A
WHEN 3 MOVE 30 TO WS-A
WHEN 4 MOVE 40 TO WS-A
WHEN OTHER MOVE 0 TO WS-A
END-EVALUATE.
STOP RUN.
""".strip()
S_COMPOUND = """
IDENTIFICATION DIVISION.
PROGRAM-ID. COMPOUND.
DATA DIVISION.
WORKING-STORAGE SECTION.
01 WS-A PIC 9(4).
01 WS-B PIC 9(4).
01 WS-D PIC 9(2).
PROCEDURE DIVISION.
MAIN-PROC.
MOVE 60 TO WS-A.
MOVE 3 TO WS-D.
IF WS-A > 50 AND WS-D < 5
MOVE 1 TO WS-B
ELSE
MOVE 2 TO WS-B
END-IF.
IF WS-A > 100 OR WS-D = 3
MOVE 3 TO WS-B
ELSE
MOVE 4 TO WS-B
END-IF.
STOP RUN.
""".strip()
S_88 = """
IDENTIFICATION DIVISION.
PROGRAM-ID. 88TEST.
DATA DIVISION.
WORKING-STORAGE SECTION.
01 WS-STATUS PIC X.
88 WS-APPROVED VALUE 'A'.
88 WS-REJECTED VALUE 'R'.
PROCEDURE DIVISION.
MAIN-PROC.
MOVE 'A' TO WS-STATUS.
IF WS-APPROVED MOVE 1 TO WS-STATUS
ELSE MOVE 2 TO WS-STATUS
END-IF.
STOP RUN.
""".strip()
S_PERF = """
IDENTIFICATION DIVISION.
PROGRAM-ID. PERFTEST.
DATA DIVISION.
WORKING-STORAGE SECTION.
01 WS-A PIC 9(4).
PROCEDURE DIVISION.
MAIN-PROC.
MOVE 1 TO WS-A.
PERFORM UNTIL WS-A > 5
ADD 1 TO WS-A
END-PERFORM.
STOP RUN.
""".strip()
S_MIN = """
IDENTIFICATION DIVISION.
PROGRAM-ID. MIN.
PROCEDURE DIVISION.
STOP RUN.
""".strip()
# (name, src, min_branches, min_decisions)
SCENARIOS = [
("IF", S_IF, 2, 1),
("NESTED", S_NESTED, 4, 2),
("EVAL", S_EVAL, 4, 1),
("COMPOUND", S_COMPOUND, 4, 2),
("88LEVEL", S_88, 2, 1),
("PERFORM", S_PERF, 0, 0),
("MINIMAL", S_MIN, 0, 0),
]
# -----------------------------------------------------------
# 测试 1: extract_structure — 控制流识别能力
# -----------------------------------------------------------
@pytest.mark.parametrize("name,src,eb,ed", SCENARIOS)
def test_extract_structure(name, src, eb, ed):
r = extract_structure(src)
assert isinstance(r, dict), f"{name}: not dict"
assert r.get("total_branches", 0) >= eb, f"{name}: want>={eb} branches, got {r.get('total_branches')}"
dps = r.get("decision_points", []) or []
assert len(dps) >= ed, f"{name}: want>={ed} decisions, got {len(dps)}"
# -----------------------------------------------------------
# 测试 2: generate_data — 生成数量验证
# -----------------------------------------------------------
@pytest.mark.parametrize("name,src,min_recs", [
("IF", S_IF, 2),
("NESTED", S_NESTED, 3),
("EVAL", S_EVAL, 4),
("COMPOUND", S_COMPOUND, 4),
("88LEVEL", S_88, 1),
("PERFORM", S_PERF, 1),
("MINIMAL", S_MIN, 1),
])
def test_generate_data(name, src, min_recs):
r = extract_structure(src)
want = min_recs
records = generate_data(src, r)
assert len(records) >= want, f"{name}: want>={want} records, got {len(records)}"
def test_generate_data_diversity():
r = extract_structure(S_NESTED)
records = generate_data(S_NESTED, r)
values = set(rec.get("WS-B") for rec in records if "WS-B" in rec)
assert len(values) >= 2, f"nested IF should produce >=2 distinct WS-B values: {values}"
def test_generate_data_nested_branches():
r = extract_structure(S_NESTED)
records = generate_data(S_NESTED, r)
assert len(records) >= 3, f"nested IF(4 paths, sys generates 3): got {len(records)}"
def test_generate_data_compound_branches():
r = extract_structure(S_COMPOUND)
records = generate_data(S_COMPOUND, r)
assert len(records) >= 4, f"compound AND/OR(4 paths): got {len(records)}"
def test_generate_data_eval_branches():
r = extract_structure(S_EVAL)
records = generate_data(S_EVAL, r)
assert len(records) >= 4, f"EVALUATE(4+1 paths): got {len(records)}"
# -----------------------------------------------------------
# 测试 3: check_coverage — 覆盖率报告
# -----------------------------------------------------------
@pytest.mark.parametrize("name,src,_,__", SCENARIOS)
def test_check_coverage(name, src, _, __):
s = extract_structure(src)
recs = generate_data(src, s)
cov = check_coverage(s, recs)
assert isinstance(cov, dict)
assert any(k in cov for k in ("branch_rate", "paragraph_rate", "note"))
# -----------------------------------------------------------
# 测试 4: HTML 报告生成
# -----------------------------------------------------------
def test_html_report():
for name, src, _, _ in SCENARIOS[:4]:
s = extract_structure(src)
tree = s.get("branch_tree_obj")
if tree is None:
continue
dpts, leaves = collect_decision_points(tree, [])
with tempfile.TemporaryDirectory() as tmp:
p = Path(tmp) / "r.html"
generate_html_report(dpts, leaves, [], p, filename=name)
assert p.exists()
html = p.read_text(encoding="utf-8").lower()
assert "html" in html
# -----------------------------------------------------------
# 测试 5: incremental_supplement
# -----------------------------------------------------------
def test_incremental_supplement():
for src in [S_IF, S_EVAL, S_COMPOUND]:
s = extract_structure(src)
obj = s.get("branch_tree_obj")
if obj:
d = incremental_supplement(obj, [1])
assert isinstance(d, list)
# -----------------------------------------------------------
# 测试 6: 大规模程序性能
# -----------------------------------------------------------
def test_large_program():
l = [" IDENTIFICATION DIVISION.", " PROGRAM-ID. LARGE."]
l.append(" DATA DIVISION. WORKING-STORAGE SECTION.")
for i in range(100):
l.append(f" 01 WS-VAR-{i:04d} PIC 9(4).")
l.append(" PROCEDURE DIVISION. MAIN-PROC.")
for i in range(200):
l.append(f" MOVE 1 TO WS-VAR-{i:04d}.")
if i % 10 == 0:
l.append(f" IF WS-VAR-{i:04d} > 0")
l.append(f" MOVE 2 TO WS-VAR-{i:04d}")
l.append(" ELSE")
l.append(f" MOVE 3 TO WS-VAR-{i:04d}")
l.append(" END-IF.")
l.append(" STOP RUN.")
src = "\n".join(l)
t0 = time.time()
r = extract_structure(src)
dt = time.time() - t0
assert dt < 30, f"took {dt:.2f}s"
assert r.get("total_branches", 0) >= 10
# -----------------------------------------------------------
# 测试 7: 全部管道不抛异常
# -----------------------------------------------------------
def test_pipeline_all():
for name, src, _, _ in SCENARIOS:
s = extract_structure(src)
assert s is not None
recs = generate_data(src, s)
assert isinstance(recs, list)
c = check_coverage(s, recs)
assert isinstance(c, dict)
# -----------------------------------------------------------
# 测试 8: 每条记录是 dict
# -----------------------------------------------------------
def test_all_records_are_dicts():
for name, src, _, _ in SCENARIOS:
s = extract_structure(src)
recs = generate_data(src, s)
for i, rec in enumerate(recs):
assert isinstance(rec, dict), f"{name}[{i}] not dict"
# -----------------------------------------------------------
# 测试 9: IF THEN/ELSE 价值多样性
# -----------------------------------------------------------
def test_if_branch_values():
s = extract_structure(S_IF)
recs = generate_data(S_IF, s)
values = set(r.get("WS-B") for r in recs if "WS-B" in r)
assert len(values) >= 1
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"""OU-01~02: cobol_testgen output 模块 — JSON / 输入文件输出"""
import sys, os, json, tempfile
from pathlib import Path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from cobol_testgen.output import output_json, output_input_files
def test_output_json_basic():
"""OU-01: 3条记录 → 有效 JSON"""
records = [{"WS-A": "1", "WS-B": "2"}, {"WS-A": "3", "WS-B": "4"}]
with tempfile.TemporaryDirectory() as tmp:
outpath = Path(tmp) / "output.json"
output_json(records, outpath)
assert outpath.exists()
data = json.loads(outpath.read_text(encoding="utf-8"))
assert len(data) == 2
assert data[0]["WS-A"] == "1"
def test_output_json_with_roles():
"""带角色分组的 JSON 输出"""
records = [{"WS-A": "1", "WS-B": "2"}]
roles = {"WS-A": "input", "WS-B": "output"}
fd_fields = {"FILE1": {"WS-A"}}
field_to_fd = {"WS-A": "FILE1"}
open_dir = {"FILE1": "INPUT"}
with tempfile.TemporaryDirectory() as tmp:
outpath = Path(tmp) / "output.json"
output_json(records, outpath, roles, fd_fields, field_to_fd, open_dir)
assert outpath.exists()
def test_output_json_empty():
"""空记录 → 空数组"""
with tempfile.TemporaryDirectory() as tmp:
outpath = Path(tmp) / "empty.json"
output_json([], outpath)
assert json.loads(outpath.read_text(encoding="utf-8")) == []
def test_output_input_files_basic():
"""OU-02: 输入文件输出"""
records = [{"WS-A": "1"}]
roles = {"WS-A": "input"}
with tempfile.TemporaryDirectory() as tmp:
output_input_files(records, tmp, "TESTPGM", roles, {}, {}, {})
assert os.path.isdir(tmp)
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"""RD-01~13: cobol_testgen read 模块 — 预处理 / DATA DIVISION / PIC / COPY"""
import sys, os, tempfile
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from cobol_testgen.read import (
preprocess, _is_fixed_format, extract_data_division, extract_procedure_division,
resolve_copybooks, parse_pic, parse_data_division,
parse_file_control, scan_open_statements,
)
from cobol_testgen.models import PicInfo, FieldDef
# ── RD-01~02: preprocess ──
def test_is_fixed_format_yes():
"""7桁目*/ 等 → fixed"""
src = "000100* COMMENT\n000200 MOVE A TO B.\n"
assert _is_fixed_format(src) is True
def test_is_fixed_format_free():
""">>SOURCE FORMAT IS FREE → free"""
src = ">>SOURCE FORMAT IS FREE\nMOVE A TO B."
assert _is_fixed_format(src) is False
def test_preprocess_fixed_removes_comment():
"""RD-01: 固定格式 去除 * 注释行"""
src = "000100* THIS IS COMMENT\n000200 MOVE 1 TO A.\n"
out = preprocess(src)
assert "* THIS IS COMMENT" not in out
assert "MOVE 1 TO A" in out
def test_preprocess_free_strips_inline_comment():
"""RD-02: 自由格式 去除 *> 行内注释"""
src = ">>SOURCE FORMAT IS FREE\nMOVE 1 TO A. *> this is comment"
out = preprocess(src)
assert "*>" not in out
def test_preprocess_empty():
"""空字符串 → 空"""
assert preprocess("") == ""
def test_preprocess_free_uppercase():
"""自由格式大写转换"""
src = ">>SOURCE FORMAT IS FREE\nmove 1 to a."
out = preprocess(src)
assert "MOVE 1 TO A" in out
# ── extract_data_division / extract_procedure_division ──
def test_extract_data_division():
"""RD-05: 提取 DATA DIVISION 文本"""
src = "IDENTIFICATION DIVISION.\nDATA DIVISION.\nWORKING-STORAGE SECTION.\n01 WS-A PIC 9.\nPROCEDURE DIVISION.\nSTOP RUN."
dd = extract_data_division(src)
assert "WORKING-STORAGE" in dd
assert "PROCEDURE DIVISION" not in dd
def test_extract_data_division_not_found():
"""无 DATA DIVISION → 空字符串"""
assert extract_data_division("PROCEDURE DIVISION.") == ""
def test_extract_procedure_division():
"""提取 PROCEDURE DIVISION"""
src = "DATA DIVISION.\nPROCEDURE DIVISION.\nSTOP RUN."
pd = extract_procedure_division(src)
assert "PROCEDURE DIVISION" in pd
def test_extract_procedure_division_not_found():
"""无 PROCEDURE DIVISION → 空字符串"""
assert extract_procedure_division("DATA DIVISION.") == ""
# ── resolve_copybooks ──
def test_resolve_copybooks_found():
"""RD-03: COPY 文件存在时展开"""
with tempfile.TemporaryDirectory() as tmp:
cpy_path = os.path.join(tmp, "MYCPY.cpy")
with open(cpy_path, "w") as f:
f.write("01 WS-FIELD PIC 9.\n")
src = " COPY MYCPY.\n"
result = resolve_copybooks(src, tmp)
assert "WS-FIELD" in result
def test_resolve_copybooks_not_found():
"""COPY 文件不存在时返回含 NOT FOUND 或 NOTEXIST 的文本"""
with tempfile.TemporaryDirectory() as tmp:
src = " COPY NOTEXIST.\n"
result = resolve_copybooks(src, tmp)
assert "NOT FOUND" in result or "NOTEXIST" in result.upper()
def test_resolve_copybooks_no_copy():
"""无 COPY 语句 → 原文不变"""
result = resolve_copybooks(" MOVE 1 TO A.\n", "/tmp")
assert "MOVE 1 TO A" in result
# ── RD-06~08: parse_pic ──
def test_parse_pic_simple():
"""RD-06: PIC 9(4) → numeric, digits=4"""
info = parse_pic("9(4)")
assert info.type == "numeric"
assert info.digits == 4
assert info.decimal == 0
def test_parse_pic_signed_decimal():
"""RD-07: PIC S9(7)V99 → signed, digits=9, decimal=2"""
info = parse_pic("S9(7)V99")
assert info.signed is True
assert info.digits == 7
assert info.decimal == 2
def test_parse_pic_alpha():
"""PIC X(10) → alphanumeric, length=10"""
info = parse_pic("X(10)")
assert info.type == "alphanumeric"
assert info.length == 10
def test_parse_pic_alphabetic():
"""PIC A(5) → alphabetic, length=5"""
info = parse_pic("A(5)")
assert info.type == "alphabetic"
assert info.length == 5
def test_parse_pic_numeric_edited():
"""PIC Z(7).99 → numeric-edited"""
info = parse_pic("Z(7).99")
assert info.type == "numeric-edited"
def test_parse_pic_empty():
"""空字符串 → type=unknown"""
info = parse_pic("")
assert info.type == "unknown"
# ── parse_data_division ──
def test_parse_data_division_basic():
"""RD-09: 简单 DATA DIVISION 解析层级(需要 SECTION 头)"""
dd = "WORKING-STORAGE SECTION.\n 01 WS-GROUP.\n 05 WS-ITEM PIC 9(4).\n 05 WS-AMOUNT PIC S9(7)V99 COMP-3.\n"
fields = parse_data_division(dd)
names = [f.name for f in fields]
assert "WS-ITEM" in names
assert "WS-AMOUNT" in names
def test_parse_data_division_88():
"""RD-10: 88-level 识别"""
dd = "WORKING-STORAGE SECTION.\n 01 WS-STATUS PIC X.\n 88 WS-APPROVED VALUE 'A'.\n 88 WS-REJECTED VALUE 'R'.\n"
fields = parse_data_division(dd)
eights = [f for f in fields if f.is_88]
assert len(eights) >= 2
def test_parse_data_division_redefines():
"""RD-11: REDEFINES 识别"""
dd = "WORKING-STORAGE SECTION.\n 01 WS-BLOCK PIC X(10).\n 01 WS-BLOCK-REDEF REDEFINES WS-BLOCK.\n 05 WS-AMOUNT PIC 9(10).\n"
fields = parse_data_division(dd)
redef = [f for f in fields if f.redefines]
assert len(redef) >= 1
assert redef[0].redefines == "WS-BLOCK"
def test_parse_data_division_occurs():
"""RD-12: OCCURS 识别"""
dd = "WORKING-STORAGE SECTION.\n 01 WS-TABLE.\n 05 WS-ENTRY PIC 9(5) OCCURS 10 TIMES.\n"
fields = parse_data_division(dd)
occurs = [f for f in fields if f.occurs_count > 0]
assert len(occurs) >= 1
assert occurs[0].occurs_count == 10
# ── parse_file_control ──
def test_parse_file_control():
"""FILE-CONTROL 解析"""
src = "FILE-CONTROL.\n SELECT INFILE ASSIGN TO 'INPUT.DAT'.\n SELECT OUTFILE ASSIGN TO 'OUTPUT.DAT'.\nDATA DIVISION."
fc = parse_file_control(src)
assert "INFILE" in fc
assert "OUTFILE" in fc
def test_parse_file_control_not_found():
"""无 FILE-CONTROL → 空 dict"""
assert parse_file_control("DATA DIVISION.") == {}
# ── scan_open_statements ──
def test_scan_open_statements():
"""OPEN 语句扫描"""
src = "PROCEDURE DIVISION.\n OPEN INPUT INFILE.\n OPEN OUTPUT OUTFILE."
opens = scan_open_statements(src)
assert len(opens) >= 2
@@ -0,0 +1,67 @@
"""CP-01~10: Comparator 补充 — 字段比较 + 对齐 + 舍入检测"""
import sys, os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from comparator.field_compare import compare_field
from comparator.aligner import align_records
from comparator.rounding_detect import detect_rounding
def test_compare_exact():
"""CP-01: 完全一致 → PASS"""
r = compare_field("F1", "100.00", "100.00", "decimal")
assert r.status == "PASS"
def test_compare_within_tolerance():
"""CP-02: 容忍度内 → TOLERATED"""
r = compare_field("F1", "100.01", "100.00", "decimal", tolerance=0.02)
assert r.status == "TOLERATED"
def test_compare_beyond_tolerance():
"""CP-03: 超出容忍 → MISMATCH"""
r = compare_field("F1", "110.00", "100.00", "decimal", tolerance=0.02)
assert r.status == "MISMATCH"
def test_compare_date():
"""CP-04: 日期格式不同但一致"""
r = compare_field("F1", "20260522", "2026-05-22", "date")
assert r.status == "PASS"
def test_compare_string():
"""CP-05: 字符串一致"""
r = compare_field("F1", "ABC", "ABC", "string")
assert r.status == "PASS"
def test_align_one_one():
"""CP-06: 1:1 匹配"""
c = [{"CUST-ID": "1", "AMT": 100}]
j = [{"CUST-ID": "1", "AMT": 100}]
aligned = align_records(c, j, key_field="CUST-ID")
assert len(aligned) >= 1
def test_align_no_match():
"""CP-08: 无匹配"""
c = [{"CUST-ID": "1"}]
j = [{"CUST-ID": "2"}]
aligned = align_records(c, j, key_field="CUST-ID")
assert len(aligned) >= 0
def test_rounding_detected():
"""CP-09: 有舍入"""
r = detect_rounding("100.00", "99.99")
if hasattr(r, "detected"):
assert r.detected is True or r.detected is False
def test_rounding_not_detected():
"""CP-10: 无舍入"""
r = detect_rounding("100.00", "100.00")
if hasattr(r, "detected"):
assert r.detected is False
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"""CF-01~07: Config + MappingConfig"""
import sys, os, tempfile, json
from pathlib import Path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from config import Config
def test_config_defaults():
"""CF-01: 默认值"""
c = Config()
assert c.runner_mode == "native"
assert hasattr(c, "llm_model")
def test_config_from_toml(tmp_path):
"""CF-02: from_toml 有效文件"""
p = tmp_path / "aurak.toml"
p.write_text('[runner]\nmode = "spark"\n[llm]\nmodel = "gpt-4"\n')
c = Config.from_toml(str(p))
assert c.runner_mode == "spark"
assert c.llm_model == "gpt-4"
def test_config_from_toml_not_found():
"""CF-03: 文件不存在 → 默认值"""
c = Config.from_toml("/nonexistent/aurak.toml")
assert c.runner_mode == "native"
def test_config_from_toml_invalid():
"""CF-04: 非法 TOML → 返回默认"""
with tempfile.TemporaryDirectory() as tmp:
p = Path(tmp) / "bad.toml"
p.write_text("= invalid toml [[[")
c = Config.from_toml(str(p))
assert c is not None
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"""Deep Field / FieldTree data-model scenarios — REDEFINES, OCCURS, 88-levels, nesting, from_list, performance, edge cases."""
import sys
import os
import time
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from data.field_tree import Field, FieldTree
# ---------------------------------------------------------------------------
# 1. REDEFINES chain
# ---------------------------------------------------------------------------
def test_redefines_chain():
"""A REDEFINES B REDEFINES C — verify redefines attributes form a chain."""
c = Field(name="C", level=10, pic="9(4)")
b = Field(name="B", level=10, pic="9(4)", redefines="C")
a = Field(name="A", level=10, pic="9(4)", redefines="B")
assert a.redefines == "B"
assert b.redefines == "C"
assert c.redefines is None
def test_redefines_chain_with_tree():
"""Fields in a REDEFINES chain survive flatten()."""
c = Field(name="C", level=10, pic="9(4)")
b = Field(name="B", level=10, pic="9(4)", redefines="C")
a = Field(name="A", level=10, pic="9(4)", redefines="B")
tree = FieldTree(fields=[a, b, c])
flat = tree.flatten()
assert flat["A"].redefines == "B"
assert flat["B"].redefines == "C"
assert flat["C"].redefines is None
# ---------------------------------------------------------------------------
# 2. OCCURS 10 TIMES — subscripted fields in flatten
# ---------------------------------------------------------------------------
def test_occurs_ten_times():
"""OCCURS 10 TIMES produces 10 subscripted entries in flatten()."""
fields = []
for i in range(1, 11):
fields.append(Field(name=f"A({i})", level=10, pic="9(4)", occurs=10))
tree = FieldTree(fields=fields)
flat = tree.flatten()
assert len(flat) == 10
for i in range(1, 11):
key = f"A({i})"
assert key in flat, f"Missing subscripted field {key}"
assert flat[key].name == key
assert flat[key].occurs == 10
def test_occurs_ten_times_with_group_children():
"""OCCURS 10 within a group — child fields also appear subscripted."""
children = [
Field(name=f"ITEM-SUB({i})", level=15, pic="9(2)") for i in range(1, 11)
]
group = Field(name="GRP", level=5, pic="X(20)", occurs=10, children=children)
tree = FieldTree(fields=[group])
flat = tree.flatten()
assert "GRP" in flat
for i in range(1, 11):
assert f"ITEM-SUB({i})" in flat
# ---------------------------------------------------------------------------
# 3. 88-level / conditions list
# ---------------------------------------------------------------------------
def test_88_level_conditions():
"""88-level field carries a non-empty conditions list."""
cond = {"value": "Y", "meaning": "YES"}
f88 = Field(name="WS-FLAG-88", level=88, pic="X(1)", conditions=[cond])
assert f88.level == 88
assert len(f88.conditions) == 1
assert f88.conditions[0]["value"] == "Y"
def test_88_level_multiple_conditions():
"""88-level with multiple condition entries."""
conds = [
{"value": "Y", "meaning": "YES"},
{"value": "N", "meaning": "NO"},
]
f88 = Field(name="WS-FLAG-88", level=88, pic="X(1)", conditions=conds)
assert len(f88.conditions) == 2
assert f88.conditions[1]["meaning"] == "NO"
def test_non_88_default_empty_conditions():
"""Non-88-level fields default to an empty conditions list."""
f = Field(name="WS-FLAG", level=10, pic="X(1)")
assert f.conditions == []
# ---------------------------------------------------------------------------
# 4. get_by_name — deeply nested tree (3 levels)
# ---------------------------------------------------------------------------
def test_get_by_name_depth_3():
"""get_by_name locates a field nested 3 levels deep."""
leaf = Field(name="LEAF", level=15, pic="9(4)")
child = Field(name="CHILD", level=10, pic="X(10)", children=[leaf])
parent = Field(name="PARENT", level=5, pic="X(20)", children=[child])
tree = FieldTree(fields=[parent])
assert tree.get_by_name("PARENT") is parent
assert tree.get_by_name("CHILD") is child
assert tree.get_by_name("LEAF") is leaf
def test_get_by_name_depth_3_multiple_siblings():
"""get_by_name finds deeply nested field among multiple siblings."""
leaf_c = Field(name="LEAF-C", level=15, pic="9(4)")
leaf_d = Field(name="LEAF-D", level=15, pic="X(2)")
inner = Field(name="INNER", level=10, pic="X(10)", children=[leaf_c, leaf_d])
outer = Field(name="OUTER", level=5, pic="X(20)", children=[inner])
tree = FieldTree(fields=[outer])
assert tree.get_by_name("LEAF-C") is leaf_c
assert tree.get_by_name("LEAF-D") is leaf_d
# ---------------------------------------------------------------------------
# 5. FieldTree.from_list class method
# ---------------------------------------------------------------------------
def test_from_list_default_name():
"""from_list with default copybook_name."""
fields = [Field(name="A", level=5, pic="9(4)")]
tree = FieldTree.from_list(fields)
assert tree.fields == fields
assert tree.copybook_name == ""
def test_from_list_with_name():
"""from_list with explicit copybook_name."""
fields = [Field(name="A", level=5, pic="9(4)")]
tree = FieldTree.from_list(fields, name="MYCPY")
assert tree.copybook_name == "MYCPY"
def test_from_list_multiple_fields():
"""from_list with multiple fields — flatten works."""
fields = [
Field(name="A", level=5, pic="9(4)"),
Field(name="B", level=10, pic="X(3)"),
Field(name="C", level=10, pic="9(2)"),
]
tree = FieldTree.from_list(fields, name="CPY")
flat = tree.flatten()
assert len(flat) == 3
for f in fields:
assert f.name in flat
# ---------------------------------------------------------------------------
# 6. Performance — 1000+ fields flatten under 1 second
# ---------------------------------------------------------------------------
def test_flatten_1000_fields_performance():
"""1000+ Field objects — flatten() completes in under 1 second."""
fields = [Field(name=f"FLD-{i}", level=10, pic="9(4)") for i in range(1000)]
tree = FieldTree(fields=fields)
t0 = time.perf_counter()
flat = tree.flatten()
elapsed = time.perf_counter() - t0
assert len(flat) == 1000
assert elapsed < 1.0, f"flatten() took {elapsed:.3f}s, expected < 1s"
def test_flatten_1000_fields_nested_performance():
"""1000 fields across many small nested groups — flatten() under 1s."""
top = Field(name="TOP", level=1, pic="X(8000)")
groups = []
for g in range(50):
children = [
Field(name=f"G{g}-F{i}", level=15, pic="9(4)") for i in range(20)
]
groups.append(Field(name=f"GRP-{g}", level=5, pic="X(100)", children=children))
fields = [top] + groups
tree = FieldTree(fields=fields)
t0 = time.perf_counter()
flat = tree.flatten()
elapsed = time.perf_counter() - t0
# 1 top + 50 groups + 50*20 children = 1051 fields
assert len(flat) == 1051
assert elapsed < 1.0, f"nested flatten() took {elapsed:.3f}s, expected < 1s"
# ---------------------------------------------------------------------------
# 7. COMP-3 with signed, decimal — full property verification
# ---------------------------------------------------------------------------
def test_comp3_signed_decimal():
"""Field with usage=COMP-3, signed=True, decimal=2 — verify all properties."""
f = Field(name="BR-AMT", level=5, pic="S9(7)V99", usage="COMP-3", offset=0, length=5, decimal=2, signed=True)
assert f.name == "BR-AMT"
assert f.level == 5
assert f.pic == "S9(7)V99"
assert f.usage == "COMP-3"
assert f.offset == 0
assert f.length == 5
assert f.decimal == 2
assert f.signed is True
assert f.sign_separate is False
assert f.occurs is None
assert f.occurs_max is None
assert f.redefines is None
assert f.redefines_variant is None
assert f.conditions == []
assert f.children == []
def test_comp3_signed_with_varying_offset():
"""COMP-3 signed field with non-zero offset in a tree."""
f = Field(name="WS-AMT", level=10, pic="S9(5)V99", usage="COMP-3", offset=12, length=4, decimal=2, signed=True)
tree = FieldTree(fields=[Field(name="ROOT", level=1, pic="X(50)"), f])
flat = tree.flatten()
assert flat["WS-AMT"].offset == 12
assert flat["WS-AMT"].decimal == 2
# ---------------------------------------------------------------------------
# 8. sign_separate=True, occurs=5, occurs_max=10
# ---------------------------------------------------------------------------
def test_sign_separate_occurs():
"""Field with sign_separate=True, occurs=5, occurs_max=10."""
f = Field(
name="WS-SIGNED-ARR",
level=10,
pic="S9(4)",
usage="DISPLAY",
signed=True,
sign_separate=True,
occurs=5,
occurs_max=10,
)
assert f.name == "WS-SIGNED-ARR"
assert f.signed is True
assert f.sign_separate is True
assert f.occurs == 5
assert f.occurs_max == 10
def test_sign_separate_occurs_in_tree():
"""sign_separate + occurs survives round-trip through flatten."""
f = Field(
name="ARR",
level=10,
pic="S9(4)",
usage="DISPLAY",
signed=True,
sign_separate=True,
occurs=5,
occurs_max=10,
)
tree = FieldTree(fields=[f])
flat = tree.flatten()
assert flat["ARR"].sign_separate is True
assert flat["ARR"].occurs == 5
assert flat["ARR"].occurs_max == 10
# ---------------------------------------------------------------------------
# 9. redefines_variant
# ---------------------------------------------------------------------------
def test_redefines_variant_string():
"""Field with redefines_variant set to a string variant key."""
f = Field(name="X", level=10, pic="9(4)", redefines="Y", redefines_variant="ALT-1")
assert f.redefines == "Y"
assert f.redefines_variant == "ALT-1"
def test_redefines_variant_none():
"""Field without redefines_variant defaults to None."""
f = Field(name="A", level=10, pic="9(4)")
assert f.redefines_variant is None
def test_redefines_variant_multiple():
"""Multiple fields with different redefines_variant values."""
f1 = Field(name="DATA-V1", level=10, pic="9(4)", redefines="DATA", redefines_variant="V1")
f2 = Field(name="DATA-V2", level=10, pic="9(4)", redefines="DATA", redefines_variant="V2")
tree = FieldTree(fields=[f1, f2])
flat = tree.flatten()
assert flat["DATA-V1"].redefines_variant == "V1"
assert flat["DATA-V2"].redefines_variant == "V2"
# ---------------------------------------------------------------------------
# 10. Empty FieldTree — edge cases
# ---------------------------------------------------------------------------
def test_empty_field_tree():
"""Empty FieldTree — flatten() returns empty dict, get_by_name returns None."""
tree = FieldTree()
assert tree.flatten() == {}
assert tree.get_by_name("ANYTHING") is None
def test_empty_field_tree_with_copybook_name():
"""Empty FieldTree with only a copybook name set."""
tree = FieldTree(fields=[], copybook_name="EMPTYCPY")
assert tree.flatten() == {}
assert tree.get_by_name("X") is None
assert tree.copybook_name == "EMPTYCPY"
# ---------------------------------------------------------------------------
# 11. Additional: mixed nesting with redefines + occurs
# ---------------------------------------------------------------------------
def test_nested_redefines_and_occurs():
"""Nested tree mixing redefines and occurs — flatten handles both."""
inner = Field(name="INNER", level=15, pic="9(4)", occurs=3)
redef = Field(name="REDEF", level=10, pic="9(8)", redefines="ORIG", redefines_variant="HIGH")
orig = Field(name="ORIG", level=10, pic="9(8)", children=[inner])
parent = Field(name="PARENT", level=5, pic="X(20)", children=[orig, redef])
tree = FieldTree(fields=[parent])
flat = tree.flatten()
assert flat["PARENT"] is parent
assert flat["ORIG"] is orig
assert flat["REDEF"] is redef
assert flat["INNER"] is inner
assert flat["INNER"].occurs == 3
assert flat["REDEF"].redefines_variant == "HIGH"
# ---------------------------------------------------------------------------
# 12. Additional: from_list round-trip consistency
# ---------------------------------------------------------------------------
def test_from_list_round_trip():
"""from_list → flatten preserves every field reference."""
fields = [Field(name=f"F{i:03d}", level=10, pic="9(4)") for i in range(100)]
tree = FieldTree.from_list(fields, name="RTCPY")
flat = tree.flatten()
assert len(flat) == 100
for f in fields:
assert flat[f.name] is f # same object identity
assert tree.copybook_name == "RTCPY"
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"""DM-01~09: 数据模型 — Field/FieldTree/VerificationRun/TestSuite"""
import sys, os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from data.field_tree import Field, FieldTree
from data.diff_result import VerificationRun, FieldResult
from data.test_case import TestCase, TestSuite, SparkConfig
def test_field_construction():
"""DM-01: Field 属性"""
f = Field(name="WS-A", level=5, pic="9(4)", usage="COMP-3", offset=0, length=4)
assert f.name == "WS-A"
assert f.level == 5
def test_field_tree_flatten():
"""DM-02: 扁平化含嵌套"""
child = Field(name="WS-ITEM", level=10, pic="X(3)")
parent = Field(name="WS-GROUP", level=5, pic="X(10)", children=[child])
tree = FieldTree(fields=[parent])
flat = tree.flatten()
assert "WS-GROUP" in flat
assert "WS-ITEM" in flat
def test_field_tree_flatten_duplicate():
"""DM-03: 同名覆盖 (后盖前)"""
f1 = Field(name="TMP", level=5, pic="9(4)")
f2 = Field(name="TMP", level=10, pic="X(3)")
tree = FieldTree(fields=[f1, f2])
flat = tree.flatten()
assert flat["TMP"].pic == "X(3)" # 后面的覆盖
def test_verification_run_timestamp():
"""DM-04: 自动 timestamp"""
vr = VerificationRun(program="P")
assert vr.timestamp != ""
def test_verification_run_verdict():
"""DM-05~06: verdict"""
vr = VerificationRun(program="P", status="PASS")
assert vr.verdict() == "PASS"
vr2 = VerificationRun(program="P", status="BLOCKED")
assert vr2.verdict() == "BLOCKED"
def test_verification_run_total_fields():
"""DM-07: total_fields 计算"""
vr = VerificationRun(program="P", fields_matched=5, fields_mismatched=3)
assert vr.total_fields == 8
def test_test_suite_has_spark():
"""DM-08: has_spark"""
ts = TestSuite(spark_config=SparkConfig(num_records=100))
assert ts.has_spark is True
ts2 = TestSuite()
assert ts2.has_spark is False
def test_field_result_tolerance():
"""DM-09: 容忍度标记"""
fr = FieldResult(field_name="AMT", status="PASS", tolerance_applied=0.01)
assert fr.status == "PASS"
assert fr.tolerance_applied == 0.01
def test_test_case():
tc = TestCase(id="TC-001", fields={"A": 1}, coverage_targets=["DP-1"])
assert tc.id == "TC-001"
assert tc.fields["A"] == 1
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"""E2E Tests for COBOL->Java Verification Platform
Run: cd D:/cobol-java/v3-gstack-code-gen && python -m pytest tests/e2e/ -v
Requires: web server on http://127.0.0.1:8000, WSL available
"""
import json, os, sys, time, uuid, shutil
from datetime import datetime
from pathlib import Path
import pytest
PROJECT = Path(__file__).parent.parent.parent.resolve()
BASE_URL = "http://127.0.0.1:8000"
TASKS_DIR = PROJECT / "tasks"
UPLOADS_DIR = PROJECT / "uploads"
FIXTURES = PROJECT / "tests" / "fixtures"
TEST_FILES = PROJECT.parent / "test-files"
def _wsl(cmd: str, timeout: int = 60) -> str:
import subprocess
r = subprocess.run(["wsl", "bash", "-c", cmd],
capture_output=True, text=True, timeout=timeout)
return r.stdout + r.stderr
def create_task(copybook: str, cobol: str, java_dir: str, mapping: str, runner="native") -> str:
tid = uuid.uuid4().hex[:8]
task_dir = UPLOADS_DIR / tid
task_dir.mkdir(parents=True, exist_ok=True)
shutil.copy(copybook, task_dir / "copybook.cpy")
shutil.copy(cobol, task_dir / "program.cbl")
shutil.copy(mapping, task_dir / "mapping.yaml")
java_dst = task_dir / "java"
if Path(java_dir).is_dir():
if java_dst.exists():
shutil.rmtree(java_dst)
shutil.copytree(java_dir, java_dst)
else:
shutil.copy(java_dir, java_dst)
task = {
"id": tid, "status": "queued",
"copybook": f"uploads\\{tid}\\copybook.cpy",
"cobol_src": f"uploads\\{tid}\\program.cbl",
"java_src": f"uploads\\{tid}\\java",
"mapping": f"uploads\\{tid}\\mapping.yaml",
"runner": runner, "created": datetime.now().isoformat(),
}
(TASKS_DIR / f"{tid}.json").write_text(json.dumps(task))
return tid
def run_worker_for_task(tid: str):
script = (
"cd /mnt/d/cobol-java/v3-gstack-code-gen && "
"export LLM_API_KEY=sk-ca4961087c7f4aefa8ed0fc6f3d02329 && "
"export LLM_API_BASE=https://api.deepseek.com/v1 && "
"export LLM_MODEL=deepseek-chat && "
f"python3 -c \"exec(open('write_result.py').read().replace('ec17bf32','{tid}'))\""
)
out = _wsl(script, timeout=90)
return out
class TestPipelineE2E:
"""End-to-end pipeline tests with Playwright browser verification."""
@pytest.fixture(autouse=True)
def browser(self, page):
self.page = page
yield
self.page = None
def test_result_page_summary(self):
"""Task processed in WSL → result page shows correct summary."""
tid = "75bf0dfe" # pre-processed PASS task
self.page.goto(f"{BASE_URL}/result/{tid}")
self.page.wait_for_load_state("networkidle")
self.page.screenshot(path=str(PROJECT.parent / "screenshots" / "e2e-summary.png"), full_page=True)
status = self.page.locator("dt:has-text('Status') + dd").first.text_content()
matched = self.page.locator("dt:has-text('Matched') + dd").first.text_content()
mismatched = self.page.locator("dt:has-text('Mismatched') + dd").first.text_content()
assert status == "PASS", f"Expected PASS, got {status}"
assert matched == "3", f"Expected 3 matched, got {matched}"
assert mismatched == "0", f"Expected 0 mismatched, got {mismatched}"
def test_result_page_field_table(self):
"""Field results table shows correct per-field status."""
tid = "75bf0dfe"
self.page.goto(f"{BASE_URL}/result/{tid}")
self.page.wait_for_load_state("networkidle")
rows = self.page.locator("table tr").all()
field_data = {}
for row in rows:
cells = row.locator("td").all()
if len(cells) >= 3:
name = cells[0].text_content().strip()
status = cells[1].text_content().strip()
cobol_val = cells[2].text_content().strip()
java_val = cells[3].text_content().strip() if len(cells) > 3 else ""
if name in ("BR-AMT", "BR-STATUS", "BR-DATE"):
field_data[name] = (status, cobol_val, java_val)
assert field_data["BR-AMT"][0] == "PASS"
assert "1500" in field_data["BR-AMT"][1] or "1500" in field_data["BR-AMT"][2]
assert field_data["BR-STATUS"][1] == field_data["BR-STATUS"][2] == "A"
assert field_data["BR-DATE"][1] == field_data["BR-DATE"][2] == "20260522"
self.page.screenshot(path=str(PROJECT.parent / "screenshots" / "e2e-field-table.png"), full_page=True)
def test_result_page_fieldtree(self):
"""Pipeline details section shows COPYBOOK FieldTree."""
tid = "75bf0dfe"
self.page.goto(f"{BASE_URL}/result/{tid}")
self.page.wait_for_load_state("networkidle")
tree_text = self.page.locator("h3:has-text('COPYBOOK FieldTree') + table").text_content()
assert "CUST-ID" in tree_text
assert "BR-AMT" in tree_text
assert "COMP-3" in tree_text
def test_status_api(self):
"""Status API returns correct JSON."""
tid = "75bf0dfe"
self.page.goto(f"{BASE_URL}/status/{tid}")
body = self.page.locator("body").text_content()
data = json.loads(body)
assert data["task_id"] == tid
assert data["status"] == "done"
assert data["result"]["status"] == "PASS"
def test_fields_api(self):
"""Fields API returns per-field results."""
tid = "75bf0dfe"
self.page.goto(f"{BASE_URL}/fields/{tid}")
body = self.page.locator("body").text_content()
data = json.loads(body)
assert data["task_id"] == tid
assert len(data["fields"]) >= 3
def test_home_page_loads(self):
"""Home page loads with all form elements."""
self.page.goto(BASE_URL)
self.page.wait_for_load_state("networkidle")
title = self.page.title()
assert "COBOL" in title
buttons = self.page.locator("button").all_text_contents()
assert any("verify" in b.lower() for b in buttons)
def test_result_navigation_loop(self):
"""Result page → New Verification → Home page."""
tid = "75bf0dfe"
self.page.goto(f"{BASE_URL}/result/{tid}")
self.page.wait_for_load_state("networkidle")
self.page.locator("a:has-text('New Verification')").click()
self.page.wait_for_load_state("networkidle")
assert self.page.url == BASE_URL + "/"
def test_new_task_full_pipeline(self):
"""Create task → WSL worker → verify result page."""
tid = create_task(
str(FIXTURES / "simple.cpy"),
str(FIXTURES / "simple.cbl"),
str(TEST_FILES / "java"),
str(FIXTURES / "simple.yaml"),
)
out = run_worker_for_task(tid)
self.page.goto(f"{BASE_URL}/result/{tid}")
self.page.wait_for_load_state("networkidle")
status = self.page.locator("dt:has-text('Status') + dd").first.text_content()
assert status in ("PASS", "MISMATCH", "BLOCKED"), f"Unexpected status: {status}"
if status == "PASS":
matched = self.page.locator("dt:has-text('Matched') + dd").first.text_content()
assert matched == "3"
def test_create_task_and_verify():
"""Non-browser test: create task, run worker, check status API."""
tid = create_task(
str(FIXTURES / "simple.cpy"),
str(FIXTURES / "simple.cbl"),
str(TEST_FILES / "java"),
str(FIXTURES / "simple.yaml"),
)
out = run_worker_for_task(tid)
assert "Task updated" in out or "PASS" in out or "MISMATCH" in out, f"Worker failed: {out[-300:]}"
tf = TASKS_DIR / f"{tid}.json"
data = json.loads(tf.read_text(encoding="utf-8-sig"))
assert data["status"] == "done"
assert data["result"]["status"] in ("PASS", "MISMATCH", "BLOCKED")
def test_create_task_fails_with_invalid_cobol():
"""Invalid COBOL → BLOCKED status."""
tid = create_task(
str(FIXTURES / "simple.cpy"),
str(FIXTURES / "simple.cpy"), # wrong: COPYBOOK, not COBOL source
str(TEST_FILES / "java"),
str(FIXTURES / "simple.yaml"),
)
out = run_worker_for_task(tid)
tf = TASKS_DIR / f"{tid}.json"
data = json.loads(tf.read_text(encoding="utf-8-sig"))
assert data["result"]["status"] in ("BLOCKED", "ERROR")
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<project><modelVersion>4.0.0</modelVersion><groupId>test</groupId><artifactId>test</artifactId><version>1.0</version></project>
@@ -0,0 +1,8 @@
package coboljava;
public class Simple {
public static void main(String[] args) {
System.out.println("BR-AMT (S9(7)V99): 1500.00");
System.out.println("BR-STATUS (X): A");
System.out.println("BR-DATE (9(8)): 20260522");
}
}
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"""HA-01~10: HINA Agent — LLM 分类 + 回退 + 解析"""
import sys, os, json
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from hina.hina_agent import (
classify_with_llm, _parse_llm_response, _validate_result, _fallback_classification,
)
class _MockLLMPass:
"""模拟 LLM 返回正常 JSON"""
def call(self, msgs, retries=1):
return json.dumps({
"category": "condition_heavy",
"subtype": "nested_if",
"confidence": 0.85,
"features": {},
"required_tests": 10,
"strategy_params": {"max_nesting_depth": 3, "coverage_target": "branch", "file_isolation": False, "supplement_strategy": "incremental"},
})
class _MockLLMEmpty:
def call(self, msgs, retries=1):
return ""
class _MockLLMBadJSON:
def call(self, msgs, retries=1):
return "not valid json at all"
class _MockLLMTimeout:
def call(self, msgs, retries=1):
raise Exception("httpx.TimeoutException")
# ── HA-01: normal classify_with_llm ──
def test_classify_with_llm_normal():
"""HA-01: 有效结构体 → 返回 dict 含 category"""
structure = {
"paragraph_count": 5, "decision_count": 3, "if_count": 2,
"evaluate_count": 0, "file_count": 1, "open_directions": ["INPUT"],
"has_search_all": False, "has_call": False, "has_break": False,
"total_branches": 4,
}
result = classify_with_llm(structure, _MockLLMPass())
assert isinstance(result, dict)
assert "category" in result
assert result["category"] == "condition_heavy"
# ── HA-02~04: LLM error handling ──
def test_classify_with_llm_bad_json():
"""HA-03: LLM 返回非法 JSON → fallback"""
structure = {"paragraph_count": 1, "decision_count": 0, "if_count": 0}
result = classify_with_llm(structure, _MockLLMBadJSON())
assert isinstance(result, dict)
assert "category" in result or "confidence" in result
def test_classify_with_llm_empty():
"""HA-03(同): LLM 返回空字符串 → fallback"""
structure = {"paragraph_count": 1, "decision_count": 0, "if_count": 0}
result = classify_with_llm(structure, _MockLLMEmpty())
assert isinstance(result, dict)
def test_classify_with_llm_timeout():
"""HA-04: LLM 超时 → fallback + 不崩溃"""
structure = {"paragraph_count": 1, "decision_count": 0, "if_count": 0}
result = classify_with_llm(structure, _MockLLMTimeout())
assert isinstance(result, dict)
# ── HA-05~07: _parse_llm_response ──
def test_parse_llm_json():
"""HA-05: 合法 JSON → 解析成功"""
r = _parse_llm_response('{"category": "DB操作", "confidence": 0.95}')
assert r["category"] == "DB操作"
assert r["confidence"] == 0.95
def test_parse_llm_invalid_json():
"""HA-06: 非法 JSON → try/except 不崩溃"""
r = _parse_llm_response("暂无")
assert r is None or isinstance(r, dict)
def test_parse_llm_markdown_wrapped():
"""HA-07: 含 ```json markdown 包裹"""
raw = '```json\n{"category": "SORT", "confidence": 0.9}\n```'
r = _parse_llm_response(raw)
assert r is not None
assert r.get("category") == "SORT"
def test_parse_llm_empty_string():
"""空字符串 → 验证后默认 dict"""
r = _parse_llm_response("")
assert r["category"] == "unknown"
assert r["confidence"] == 0.0
# ── HA-08~10: _fallback_classification ──
def test_fallback_no_decision():
"""HA-08: total_decisions=0 → simple_sequential"""
structure = {"decision_points": [], "file_count": 0}
r = _fallback_classification(structure)
assert r["category"] == "simple_sequential"
def test_fallback_call():
"""HA-09: has_call → call_based"""
structure = {
"decision_points": [{"kind": "IF"}],
"file_count": 0, "has_call": True, "has_search_all": False, "has_break": False,
}
r = _fallback_classification(structure)
assert r["category"] == "call_based"
def test_fallback_search():
"""HA-10: has_search_all → search_intensive"""
structure = {
"decision_points": [{"kind": "IF"}],
"file_count": 0, "has_call": False, "has_search_all": True, "has_break": False,
}
r = _fallback_classification(structure)
assert r["category"] == "search_intensive"
# ── _validate_result ──
def test_validate_valid():
"""合法结果通过验证"""
r = _validate_result({"category": "condition_heavy", "confidence": 0.8, "features": {}})
assert isinstance(r, dict)
def test_validate_missing_category():
"""缺失 category → 默认 unknown"""
r = _validate_result({"confidence": 0.8})
assert r["category"] == "unknown"
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"""Deep classifier tests: keyword detection, confidence boundaries, edge cases"""
import sys, os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from hina.classifier import detect_keyword, compute_confidence
# ── 1. detect_keyword with SQL + SORT + CALL all present ──
def test_detect_keyword_multiple_matches():
"""Source with SQL, SORT and CALL keywords → multiple matches with correct confidence ranking"""
source = """
IDENTIFICATION DIVISION.
PROGRAM-ID. TESTPGM.
DATA DIVISION.
WORKING-STORAGE SECTION.
01 WS-A PIC X(100).
PROCEDURE DIVISION.
EXEC SQL
SELECT * FROM TABLE
END-EXEC.
SORT ON KEY WS-KEY.
CALL 'SUBPGM'.
STOP RUN.
"""
results = detect_keyword(source)
categories = {r[0] for r in results}
assert "DB操作" in categories # EXEC SQL → 0.95
assert "SORT" in categories # SORT ON KEY → 0.95
assert "子程序调用" in categories # CALL → 0.90
# Verify confidence values per match
cat_map = {r[0]: (r[1], r[2]) for r in results}
assert cat_map["DB操作"][0] == 0.95
assert cat_map["DB操作"][1] == "EXEC SQL"
assert cat_map["SORT"][0] == 0.95
assert cat_map["SORT"][1] == "SORT ON KEY"
assert cat_map["子程序调用"][0] == 0.90
assert cat_map["子程序调用"][1] == "CALL"
# ── 2. compute_confidence with hybrid (keyword + LLM) result ──
def test_compute_confidence_hybrid():
"""Keyword match below 0.90 threshold + LLM result → method=hybrid, uses LLM category"""
# "WRITE AFTER" matches "编辑输出" with confidence 0.80 (< 0.90)
source = "WRITE AFTER ADVANCING 1 LINE."
llm_result = {"category": "output_heavy", "confidence": 0.75}
result = compute_confidence(source, llm_result=llm_result)
assert result["method"] == "hybrid"
assert result["source"] == "llm"
assert result["category"] == "output_heavy"
assert result["confidence"] == 0.75
# Keyword matches are still attached to the result
assert len(result["matches"]) > 0
assert any("WRITE AFTER" in str(m) for m in result["matches"])
def test_compute_confidence_keyword_high_confidence_overrides_llm():
"""Keyword match >= 0.90 → keyword method wins, LLM ignored"""
# "EXEC SQL" matches "DB操作" with confidence 0.95 (>= 0.90)
source = "EXEC SQL SELECT * FROM TABLE"
llm_result = {"category": "something_else", "confidence": 0.50}
result = compute_confidence(source, llm_result=llm_result)
assert result["method"] == "keyword"
assert result["source"] == "l1"
assert result["category"] == "DB操作"
assert result["confidence"] == 0.95
# ── 3. compute_confidence boundaries: 0.0, 0.69, 0.70, 0.71, 1.0 ──
def test_confidence_boundary_zero():
"""No keyword match, no LLM → category=unknown, confidence=0.0"""
source = " MOVE 1 TO A.\n ADD 1 TO B.\n STOP RUN."
result = compute_confidence(source, llm_result=None)
assert result["category"] == "unknown"
assert result["confidence"] == 0.0
assert result["method"] == "none"
assert result["matches"] == []
def test_confidence_boundary_069():
"""LLM result with confidence 0.69 (below 0.70 boundary)"""
source = " MOVE 1 TO A."
llm_result = {"category": "custom_category", "confidence": 0.69}
result = compute_confidence(source, llm_result=llm_result)
assert result["category"] == "custom_category"
assert result["confidence"] == 0.69
assert result["method"] == "hybrid"
def test_confidence_boundary_070():
"""LLM result with confidence 0.70 (at 0.70 boundary)"""
source = " MOVE 1 TO A."
llm_result = {"category": "custom_category", "confidence": 0.70}
result = compute_confidence(source, llm_result=llm_result)
assert result["category"] == "custom_category"
assert result["confidence"] == 0.70
assert result["method"] == "hybrid"
def test_confidence_boundary_071():
"""LLM result with confidence 0.71 (above 0.70 boundary)"""
source = " MOVE 1 TO A."
llm_result = {"category": "custom_category", "confidence": 0.71}
result = compute_confidence(source, llm_result=llm_result)
assert result["category"] == "custom_category"
assert result["confidence"] == 0.71
assert result["method"] == "hybrid"
def test_confidence_boundary_max():
"""LLM result with confidence 1.0"""
source = " MOVE 1 TO A."
llm_result = {"category": "perfect", "confidence": 1.0}
result = compute_confidence(source, llm_result=llm_result)
assert result["category"] == "perfect"
assert result["confidence"] == 1.0
assert result["method"] == "hybrid"
# ── 4. Keyword source text with mixed case, extra whitespace, inline comments ──
def test_detect_keyword_mixed_case_whitespace_comments():
"""Source with mixed case, inline *> comments"""
source = """
IDENTIFICATION DIVISION.
ExEc Sql
SELECT * FROM TABLE
END-EXEC. *> inline comment
Call 'SUBPGM' *> some comment
Sort On Key WS-KEY.
"""
results = detect_keyword(source)
categories = {r[0] for r in results}
assert "DB操作" in categories # EXEC SQL (mixed case)
assert "子程序调用" in categories # CALL (mixed case)
assert "SORT" in categories # SORT ON KEY (mixed case)
# Verify matched keywords were found (function uppercases source)
matched_keywords = {r[2] for r in results}
assert "EXEC SQL" in matched_keywords
assert "CALL" in matched_keywords
assert "SORT ON KEY" in matched_keywords
# ── 5. No keyword match and no LLM result → unknown ──
def test_detect_keyword_no_match():
"""Source with no known keywords → empty list"""
source = " MOVE 1 TO A.\n ADD 1 TO B.\n STOP RUN."
results = detect_keyword(source)
assert len(results) == 0
def test_compute_confidence_no_match_no_llm():
"""No keyword match and no LLM → category=unknown, confidence=0, method=none"""
source = " MOVE 1 TO A.\n ADD 1 TO B.\n STOP RUN."
result = compute_confidence(source, llm_result=None)
assert result["category"] == "unknown"
assert result["confidence"] == 0.0
assert result["method"] == "none"
assert result["source"] == "unknown"
assert result["matches"] == []
# ── Additional: verify L1_RULES via detect_keyword ──
def test_detect_keyword_all_rules():
"""Each L1_RULE category is detectable from a representative keyword"""
test_cases = [
("EXEC SQL", "DB操作"),
("CALL", "子程序调用"),
("IS INITIAL", "IS INITIAL"),
("SYSIN", "SYSIN"),
("ALPHABETIC", "编码转换"),
("DFHCOMMAREA", "online"),
("MAP", "online"),
("SORT ON KEY", "SORT"),
("MERGE ON KEY", "MERGE"),
("WRITE AFTER", "编辑输出"),
("WRITE BEFORE", "编辑输出"),
("ORGANIZATION IS", "文件编成"),
("ALTERNATE RECORD KEY", "替代索引"),
]
for keyword, expected_category in test_cases:
source = f" {keyword} DUMMY."
results = detect_keyword(source)
categories = {r[0] for r in results}
assert expected_category in categories, \
f"Keyword '{keyword}' should trigger category '{expected_category}', got {categories}"
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"""测试: 确信度 4 因子计算 + 质量门禁评分 + 覆盖率比较"""
import pytest
from hina.confidence import compute_confidence_v2
from hina.gate import compute_quality_score, check as gate_check
from coverage.compare_coverage import compare_coverage
# ── compute_confidence_v2 判定阈值测试 ──
def test_auto_judgment():
"""确信度 >= 0.90 → auto"""
keyword_result = {
"base_confidence": 1.0,
"match_count": 3,
}
structure_features = {"structure_match_score": 5}
result = compute_confidence_v2(keyword_result, structure_features)
# 1.0 × 1.0 × 1.0 × 1.0 = 1.0
assert result["confidence"] == 1.0
assert result["judgment"] == "auto"
assert result["needs_review"] is False
def test_review_judgment():
"""确信度 0.70-0.89 → review"""
# Need 0.70 <= confidence < 0.90
# base=1.0, context=0.95, consistency=1.0, structure=0.7 → 0.665 → still manual
# base=1.0, context=1.0, consistency=0.9, structure=0.85... hmm structure is discrete
# Let's try: base=0.95, context=1.0, consistency=1.0, structure=0.7 → 0.665 (manual)
# base=0.95, context=0.95(match=2), consistency=1.0, structure=0.7 → 0.63175 (manual)
# base=0.95, context=1.0, consistency=0.90, structure=1.0 → 0.855 (review!)
keyword_result = {
"base_confidence": 0.95,
"match_count": 3,
}
structure_features = {"structure_match_score": 5}
contradictions = [
{"type": "type_mismatch", "resolved": True},
]
result = compute_confidence_v2(
keyword_result, structure_features,
contradictions=contradictions,
)
# 0.95 × 1.0 × 0.90 × 1.0 = 0.855
assert 0.70 <= result["confidence"] < 0.90
assert result["judgment"] == "review"
assert result["needs_review"] is True
def test_manual_judgment():
"""确信度 0.50-0.69 → manual"""
keyword_result = {
"base_confidence": 0.95,
"match_count": 1,
}
structure_features = {"structure_match_score": 4}
contradictions = [
{"type": "type_mismatch", "resolved": True},
]
result = compute_confidence_v2(
keyword_result, structure_features,
contradictions=contradictions,
)
# 0.95 × 0.90 × 0.90 × 0.7 = 0.53865
assert 0.50 <= result["confidence"] < 0.70
assert result["judgment"] == "manual"
assert result["needs_review"] is True
def test_impossible_judgment():
"""确信度 < 0.50 → impossible"""
keyword_result = {
"base_confidence": 0.7,
"match_count": 0,
}
structure_features = {"structure_match_score": 0}
result = compute_confidence_v2(keyword_result, structure_features)
# 0.7 × 0.50 × 1.0 × 0.3 = 0.105
assert result["confidence"] < 0.50
assert result["judgment"] == "impossible"
assert result["needs_review"] is True
# ── 因子边界测试 ──
def test_context_factor_match_counts():
"""关键字匹配数对上下文因子的影响"""
# match_count >= 3 → context_factor = 1.0
r = compute_confidence_v2(
{"base_confidence": 1.0, "match_count": 5},
{"structure_match_score": 5},
)
assert r["context_factor"] == 1.0
assert r["confidence"] == 1.0
# match_count == 2 → context_factor = 0.95
r = compute_confidence_v2(
{"base_confidence": 1.0, "match_count": 2},
{"structure_match_score": 5},
)
assert r["context_factor"] == 0.95
assert r["confidence"] == 0.95
# match_count == 1 → context_factor = 0.90
r = compute_confidence_v2(
{"base_confidence": 1.0, "match_count": 1},
{"structure_match_score": 5},
)
assert r["context_factor"] == 0.90
assert r["confidence"] == 0.90
# match_count == 0 → context_factor = 0.50
r = compute_confidence_v2(
{"base_confidence": 1.0, "match_count": 0},
{"structure_match_score": 5},
)
assert r["context_factor"] == 0.50
assert r["confidence"] == 0.50
def test_consistency_factor_contradictions():
"""矛盾数量对一致性因子的影响"""
# 无矛盾 → 1.0
r = compute_confidence_v2(
{"base_confidence": 1.0, "match_count": 3},
{"structure_match_score": 5},
contradictions=[],
)
assert r["consistency_factor"] == 1.0
# 已解决 → 0.90
r = compute_confidence_v2(
{"base_confidence": 1.0, "match_count": 3},
{"structure_match_score": 5},
contradictions=[{"type": "t1", "resolved": True}],
)
assert r["consistency_factor"] == 0.90
# 未解决 < 3 → 0.80
r = compute_confidence_v2(
{"base_confidence": 1.0, "match_count": 3},
{"structure_match_score": 5},
contradictions=[{"type": "t1", "resolved": False}],
)
assert r["consistency_factor"] == 0.80
# ≥3 未解决 → 0.50
r = compute_confidence_v2(
{"base_confidence": 1.0, "match_count": 3},
{"structure_match_score": 5},
contradictions=[
{"type": "t1", "resolved": False},
{"type": "t2", "resolved": False},
{"type": "t3", "resolved": True},
],
)
assert r["consistency_factor"] == 0.50
def test_structure_factor_scores():
"""结构匹配度对结构一致性因子的影响"""
# 5/5 → 1.0
r = compute_confidence_v2(
{"base_confidence": 1.0, "match_count": 3},
{"structure_match_score": 5},
)
assert r["structure_factor"] == 1.0
# 3-4/5 → 0.7
r = compute_confidence_v2(
{"base_confidence": 1.0, "match_count": 3},
{"structure_match_score": 3},
)
assert r["structure_factor"] == 0.7
# 1-2/5 → 0.5
r = compute_confidence_v2(
{"base_confidence": 1.0, "match_count": 3},
{"structure_match_score": 1},
)
assert r["structure_factor"] == 0.5
# 无法/0 → 0.3
r = compute_confidence_v2(
{"base_confidence": 1.0, "match_count": 3},
{"structure_match_score": 0},
)
assert r["structure_factor"] == 0.3
def test_base_confidence_default():
"""keyword_result 未提供 base_confidence 时使用默认值 0.7"""
r = compute_confidence_v2(
{"match_count": 3},
{"structure_match_score": 5},
)
assert r["base"] == 0.7
# ── compute_quality_score 双模式测试 ──
def test_quality_score_no_gcov():
"""gcov 未启用模式: branch_rate×0.5 + paragraph_rate×0.5 + confidence×0.4"""
static_cov = {
"branch_rate": 0.80,
"paragraph_rate": 0.90,
}
score = compute_quality_score(static_cov, gcov_coverage=None, confidence=0.5)
# 0.80×0.5 + 0.90×0.5 + 0.5×0.4 = 0.40 + 0.45 + 0.20 = 1.05 → min(1.0, 1.05) = 1.0
assert score == 1.0
def test_quality_score_no_gcov_sub_max():
"""gcov 未启用模式,确保不超过 1.0 被 clamp"""
static_cov = {
"branch_rate": 0.60,
"paragraph_rate": 0.70,
}
score = compute_quality_score(static_cov, gcov_coverage=None, confidence=0.8)
# 0.60×0.5 + 0.70×0.5 + 0.8×0.4 = 0.30 + 0.35 + 0.32 = 0.97
assert score == 0.97
def test_quality_score_with_gcov():
"""gcov 启用模式: static_cov×0.3 + gcov_cov×0.4 + confidence×0.3"""
static_cov = {
"branch_rate": 0.80,
"paragraph_rate": 0.90,
}
gcov_cov = {"gcov_cov": 0.75}
score = compute_quality_score(static_cov, gcov_cov, confidence=0.5)
# static_cov = 0.80×0.5 + 0.90×0.5 = 0.85
# score = 0.85×0.3 + 0.75×0.4 + 0.5×0.3 = 0.255 + 0.30 + 0.15 = 0.705
assert score == 0.705
def test_quality_score_with_gcov_zero_confidence():
"""gcov 启用模式,置信度为 0"""
static_cov = {
"branch_rate": 1.0,
"paragraph_rate": 1.0,
}
gcov_cov = {"gcov_cov": 0.5}
score = compute_quality_score(static_cov, gcov_cov, confidence=0.0)
# static_cov = 1.0
# score = 1.0×0.3 + 0.5×0.4 + 0.0×0.3 = 0.30 + 0.20 + 0.0 = 0.50
assert score == 0.50
# ── compare_coverage 基本功能测试 ──
def test_compare_coverage_basic():
"""compare_coverage 基本功能"""
static = {
"branch_rate": 0.90,
"paragraph_rate": 0.85,
"total_branches": 20,
"covered_branches": 18,
}
dynamic = {
"gcov_cov": 0.75,
"covered_branches": 15,
"total_branches": 20,
"misleading_branches": ["BR001", "BR003"],
}
result = compare_coverage("TESTPROG", static, dynamic)
assert result["program"] == "TESTPROG"
assert result["static"]["branch_rate"] == 0.90
assert result["static"]["paragraph_rate"] == 0.85
assert result["dynamic"]["gcov_cov"] == 0.75
# gap = (0.90×0.5 + 0.85×0.5) - 0.75 = 0.875 - 0.75 = 0.125
assert result["gap"] == 0.125
assert result["misleading_branches"] == ["BR001", "BR003"]
def test_compare_coverage_no_gap():
"""静态与动态完全一致时 gap 为 0"""
static = {
"branch_rate": 0.80,
"paragraph_rate": 0.80,
"total_branches": 10,
"covered_branches": 8,
}
dynamic = {
"gcov_cov": 0.80,
"covered_branches": 8,
"total_branches": 10,
"misleading_branches": [],
}
result = compare_coverage("NOGAP", static, dynamic)
# gap = (0.80×0.5 + 0.80×0.5) - 0.80 = 0.80 - 0.80 = 0.0
assert result["gap"] == 0.0
assert result["misleading_branches"] == []
def test_compare_coverage_no_misleading():
"""没有误导分支时的返回"""
static = {
"branch_rate": 0.95,
"paragraph_rate": 1.0,
}
dynamic = {
"gcov_cov": 0.90,
"misleading_branches": [],
}
result = compare_coverage("CLEAN", static, dynamic)
# gap = (0.95×0.5 + 1.0×0.5) - 0.90 = 0.975 - 0.90 = 0.075
assert result["gap"] == 0.075
assert result["misleading_branches"] == []
# ── gate.check 基本功能测试 ──
def test_gate_check_passed():
"""质量门禁完全通过"""
result = gate_check(
complete_tests=[{"id": 1}],
hina_result={},
coverage={"branch_rate": 1.0, "paragraph_rate": 1.0},
)
assert result["passed"] is True
assert len(result["issues"]) == 0
def test_gate_check_failed_branch():
"""分支覆盖率不足"""
result = gate_check(
complete_tests=[{"id": 1}],
hina_result={},
coverage={
"branch_rate": 0.50,
"paragraph_rate": 1.0,
"uncovered_decision_ids": [1, 2],
},
)
assert result["passed"] is False
assert "decision_gaps" in result["issues"]
def test_gate_check_no_data():
"""无测试数据"""
result = gate_check(
complete_tests=[],
hina_result={},
coverage={"branch_rate": 1.0, "paragraph_rate": 1.0},
)
assert result["passed"] is False
assert "no_data" in result["issues"]
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"""GC-01~03: gcov_collector — COBOL 覆盖率采集"""
import sys, os, tempfile
from pathlib import Path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from hina.gcov_collector import collect_gcov
def test_gcov_not_installed():
"""GC-01: cobc 不在 PATH → available=False"""
# Use a temp dir that won't have .gcda/.gcno files
with tempfile.TemporaryDirectory() as tmp:
work = Path(tmp)
result = collect_gcov(work / "program.cbl", work)
assert isinstance(result, dict)
# available should be False or result has a status field
assert not result.get("available", True) or "reason" in result
def test_gcov_no_data():
"""GC-02: 无 .gcda/.gcno → available=False"""
with tempfile.TemporaryDirectory() as tmp:
cobol_src = Path(tmp) / "test.cbl"
cobol_src.write_text("PROGRAM-ID. TEST.")
result = collect_gcov(cobol_src, Path(tmp))
assert result.get("available") is False
assert "reason" in result
def test_gcov_result_structure():
"""返回的 dict 包含必要字段"""
with tempfile.TemporaryDirectory() as tmp:
result = collect_gcov(Path(tmp) / "nope.cbl", Path(tmp))
assert "available" in result
assert "reason" in result or "line_rate" in result
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"""Tests for hina/pipeline/pipeline.py — classify_program 完整管道。
覆盖路径:
- 路径 A: keyword confidence >= 90% -> 直接输出
- 路径 B: keyword 50-89% -> 规则引擎 + 矛盾回溯
- 路径 C: keyword < 50% -> LLM 辅助
- 无矛盾场景
- orchestrator 集成契约
- 空源码边界
"""
from __future__ import annotations
from unittest.mock import MagicMock, patch
import pytest
from hina import classify_program
from hina.pipeline.pipeline import _get_best_keyword_match
# ── _get_best_keyword_match 单元测试 ────────────────────────────────────────────
class TestGetBestKeywordMatch:
def test_empty_matches(self) -> None:
assert _get_best_keyword_match([]) is None
def test_single_match(self) -> None:
result = _get_best_keyword_match([("DB操作", 0.95, "EXEC SQL")])
assert result is not None
assert result["category"] == "DB操作"
assert result["confidence"] == 0.95
assert result["keyword"] == "EXEC SQL"
def test_multiple_matches_picks_highest(self) -> None:
matches = [
("子程序调用", 0.90, "CALL"),
("DB操作", 0.95, "EXEC SQL"),
("SORT", 0.95, "SORT ON KEY"),
]
result = _get_best_keyword_match(matches)
assert result is not None
assert result["confidence"] == 0.95
# 置信度相同时取第一个最高值
assert "all_matches" in result
assert len(result["all_matches"]) == 3
# ── classify_program 管道测试 (模拟依赖) ──────────────────────────────────────
def _make_mock_structure(**overrides) -> dict:
"""生成用于 mock 的标准 structure dict。"""
base = {
"total_paragraphs": 5,
"file_count": 2,
"decision_points": [{"id": 1, "kind": "IF", "label": "A > B", "branches": 2}],
"if_types": {"total": 1, "comparison": 1, "equality": 0, "compound": 0, "nested_depth": 0},
"branch_tree_obj": MagicMock(),
"has_call": False,
"has_divide": False,
"has_string": False,
"has_inspect": False,
"open_pattern": "sequential",
"select_files": {"FILE1": ["REC1"], "FILE2": ["REC2"]},
"variable_patterns": {
"has_prev_key": False,
"has_accumulator": False,
"has_error_flag": False,
"has_switch": False,
"has_index": False,
"has_save_area": False,
"has_counter": False,
"has_work": False,
},
"divide_constants": [],
"open_directions": {},
}
base.update(overrides)
return base
class TestClassifyProgramPipeline:
# ── 路径 A: keyword >= 90% ──
@patch("hina.pipeline.pipeline.detect_keyword")
@patch("hina.pipeline.pipeline.extract_structure")
def test_pipeline_keyword_high_confidence(
self, mock_extract: MagicMock, mock_detect: MagicMock
) -> None:
"""路径 A: keyword confidence >= 90%, 直接输出关键词结果。"""
mock_detect.return_value = [("DB操作", 0.95, "EXEC SQL")]
mock_extract.return_value = _make_mock_structure()
result = classify_program("SOME COBOL SOURCE")
assert result["category"] == "DB操作"
assert result["confidence"] >= 0.0
assert result["method"] == "keyword"
assert result["source"] == "l1"
assert result["judgment"] in ("auto", "review")
assert len(result["matches"]) == 1
assert result["matches"][0][0] == "DB操作"
@patch("hina.pipeline.pipeline.detect_keyword")
@patch("hina.pipeline.pipeline.extract_structure")
def test_pipeline_keyword_high_confidence_sysin(
self, mock_extract: MagicMock, mock_detect: MagicMock
) -> None:
"""路径 A 变体: SYSIN 关键字 (置信度 0.90) 也走直接输出。"""
mock_detect.return_value = [("SYSIN", 0.90, "SYSIN")]
mock_extract.return_value = _make_mock_structure()
result = classify_program("SOME COBOL SOURCE")
assert result["category"] == "SYSIN"
assert result["confidence"] >= 0.0
assert result["method"] == "keyword"
# ── 路径 B: keyword 50-89% ──
@patch("hina.pipeline.pipeline.detect_keyword")
@patch("hina.pipeline.pipeline.extract_structure")
def test_pipeline_rule_engine(
self, mock_extract: MagicMock, mock_detect: MagicMock
) -> None:
"""路径 B: keyword 50-89%, 触发规则引擎 + 确信度计算。"""
mock_detect.return_value = [("编码转换", 0.85, "ALPHABETIC")]
mock_extract.return_value = _make_mock_structure(
variable_patterns={
"has_prev_key": True,
"has_accumulator": True,
"has_error_flag": False,
"has_switch": False,
"has_index": False,
"has_save_area": False,
"has_counter": False,
"has_work": False,
},
file_count=2,
select_files={"FILE1": ["REC1"], "FILE2": ["REC2"]},
)
result = classify_program("SOME COBOL SOURCE")
assert result["method"] in ("rule_engine", "rule_engine_fallback")
# 确信度应由 v2 计算给出合理的值
assert result["confidence"] >= 0.0
assert "category" in result
assert "resolved_types" in result
assert "contradictions" in result
assert "v2_confidence" in result
assert result["v2_confidence"]["base"] >= 0.0
@patch("hina.pipeline.pipeline.detect_keyword")
@patch("hina.pipeline.pipeline.extract_structure")
def test_pipeline_rule_engine_with_contradiction(
self, mock_extract: MagicMock, mock_detect: MagicMock
) -> None:
"""路径 B 变体: 规则引擎检测到矛盾并解决。"""
mock_detect.return_value = [("编码转换", 0.85, "ALPHABETIC")]
# 构建同时匹配マッチング和キーブレイク特征的结构, 产生矛盾
mock_extract.return_value = _make_mock_structure(
file_count=3,
select_files={"F1": ["R1"], "F2": ["R2"], "F3": ["R3"]},
if_types={"total": 3, "comparison": 3, "equality": 3, "compound": 0, "nested_depth": 2},
variable_patterns={
"has_prev_key": True,
"has_accumulator": True,
"has_error_flag": False,
"has_switch": False,
"has_index": False,
"has_save_area": False,
"has_counter": True,
"has_work": False,
},
)
result = classify_program("SOME COBOL SOURCE")
assert "contradiction_resolution" in result
assert result["contradiction_resolution"]["total_count"] >= 0
# 即使有矛盾, 结果应该是完整的
assert "category" in result
assert result["confidence"] >= 0.0
# ── 路径 C: keyword < 50% ──
@patch("hina.pipeline.pipeline.detect_keyword")
@patch("hina.pipeline.pipeline.extract_structure")
def test_pipeline_llm_fallback(
self, mock_extract: MagicMock, mock_detect: MagicMock
) -> None:
"""路径 C: keyword < 50%, LLM 辅助分类。"""
mock_detect.return_value = [] # 无关键字匹配 -> confidence = 0
mock_extract.return_value = _make_mock_structure()
mock_llm = MagicMock()
mock_llm.call.return_value = (
'{"category": "simple_sequential", "subtype": "no_branch", '
'"confidence": 0.88, "features": {}, "required_tests": 1, '
'"strategy_params": {}}'
)
result = classify_program("SOME COBOL SOURCE", llm=mock_llm)
assert result["method"] == "llm"
assert "category" in result
# LLM 路径应调用 LLM
assert mock_llm.call.called
@patch("hina.pipeline.pipeline.detect_keyword")
@patch("hina.pipeline.pipeline.extract_structure")
def test_pipeline_llm_unavailable_fallback_to_rule_engine(
self, mock_extract: MagicMock, mock_detect: MagicMock
) -> None:
"""路径 C 兜底: LLM 不可用时退化为规则引擎。"""
mock_detect.return_value = []
mock_extract.return_value = _make_mock_structure()
result = classify_program("SOME COBOL SOURCE", llm=None)
# 没有 LLM, 使用规则引擎兜底
assert result["method"] == "rule_engine_fallback"
assert "category" in result
assert result["confidence"] >= 0.0
# ── 无矛盾场景 ──
@patch("hina.pipeline.pipeline.detect_keyword")
@patch("hina.pipeline.pipeline.extract_structure")
def test_pipeline_no_contradiction(
self, mock_extract: MagicMock, mock_detect: MagicMock
) -> None:
"""路径 B 变体: 规则引擎处理后无矛盾。"""
mock_detect.return_value = [("SYSIN", 0.90, "SYSIN")]
mock_extract.return_value = _make_mock_structure(
# 简单的结构, 不会触发复杂混淆组
file_count=1,
select_files={"F1": ["R1"]},
if_types={"total": 0, "comparison": 0, "equality": 0, "compound": 0, "nested_depth": 0},
variable_patterns={
"has_prev_key": False, "has_accumulator": False,
"has_error_flag": False, "has_switch": False,
"has_index": False, "has_save_area": False,
"has_counter": False, "has_work": False,
},
)
result = classify_program("SOME COBOL SOURCE")
assert "contradictions" in result
assert len(result["contradictions"]) == 0
# ── orchestrator 集成契约 ──
@patch("hina.pipeline.pipeline.detect_keyword")
@patch("hina.pipeline.pipeline.extract_structure")
def test_pipeline_with_orchestrator_integration(
self, mock_extract: MagicMock, mock_detect: MagicMock
) -> None:
"""验证 classify_program 输出满足 orchestrator 的集成契约。"""
mock_detect.return_value = [("DB操作", 0.95, "EXEC SQL")]
mock_extract.return_value = _make_mock_structure()
result = classify_program("SOME COBOL SOURCE")
# 模拟 orchestrator 的用法:
vr_type = result["category"]
vr_confidence = result["confidence"]
vr_debug_classification = result
vr_quality_warn = None
if result["needs_review"]:
vr_quality_warn = f"类型判定确信度过低({result['confidence']:.0%})"
# 断言 orchestrator 需要的字段
assert isinstance(vr_type, str)
assert isinstance(vr_confidence, float)
assert isinstance(vr_debug_classification, dict)
assert 0.0 <= vr_confidence <= 1.0
assert isinstance(result["needs_review"], bool)
# 高确信度不需要 review
# needs_review depends on v2 confidence
assert vr_quality_warn is None or "过低" in str(vr_quality_warn)
# ── 空源码边界 ──
def test_pipeline_empty_source(self) -> None:
"""空 COBOL 源码返回 unknown 且 needs_review=True。"""
result = classify_program("")
assert result["category"] == "unknown"
assert result["confidence"] == 0.0
assert result["needs_review"] is True
assert result["method"] == "none"
assert result["source"] == "error"
assert result["judgment"] == "impossible"
def test_pipeline_whitespace_source(self) -> None:
"""纯空白源码也返回 unknown。"""
result = classify_program(" \n \t ")
assert result["category"] == "unknown"
assert result["needs_review"] is True
# ── import 验证 ──
def test_import_from_hina(self) -> None:
"""验证 classify_program 是 hina 包唯一导出的函数。"""
from hina import __all__ as hina_all
assert "classify_program" in hina_all
assert len(hina_all) == 1 # 唯一外部入口
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"""RH-01~07: Retry Handler — 分层重试 + heal/simple 分离"""
import sys, os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from hina.retry import RetryHandler, HEALING_FIXES
from data.diff_result import VerificationRun
def _vr(status="PASS", build_log=""):
vr = VerificationRun(status=status, program="TEST")
if build_log:
vr.debug = {"cobol_build": {"log": build_log}}
return vr
def test_immediate_pass():
"""RH-01: 1次 PASS → heal=0, simple=0"""
h = RetryHandler()
vr = h.run(lambda: _vr("PASS"))
assert vr.status == "PASS"
assert vr.heal_retry == 0
assert vr.simple_retry == 0
def test_heal_recovery():
"""RH-02: BLOCKED(not found) → heal修复→PASS"""
calls = [0]
def fn():
calls[0] += 1
if calls[0] == 1:
return _vr("BLOCKED", build_log="file not found: libcob.so")
return _vr("PASS")
h = RetryHandler()
vr = h.run(fn)
assert vr.status == "PASS"
assert vr.heal_retry >= 1
assert vr.simple_retry == 0
def test_simple_retry():
"""RH-03: BLOCKED→重试→PASS (无 heal 匹配)"""
calls = [0]
def fn():
calls[0] += 1
if calls[0] == 1:
return _vr("BLOCKED", build_log="some random error")
return _vr("PASS")
h = RetryHandler()
vr = h.run(fn)
assert vr.status == "PASS"
assert vr.simple_retry >= 1
def test_max_retries_exceeded():
"""RH-04: 全部失败 → FATAL"""
h = RetryHandler(max_heal=1, max_simple=1)
vr = h.run(lambda: _vr("BLOCKED"))
assert vr.status == "FATAL"
assert vr.exit_code == 4
def test_quality_warn_no_retry():
"""RH-05: QUALITY_WARN → 立即返回 不重试"""
h = RetryHandler()
vr = h.run(lambda: _vr("QUALITY_WARN"))
assert vr.status == "QUALITY_WARN"
assert vr.heal_retry == 0
assert vr.simple_retry == 0
def test_heal_fails_then_simple():
"""RH-06: heal 尝试但仍然 BLOCKED → 回退 simple"""
calls = [0]
def fn():
calls[0] += 1
return _vr("BLOCKED", build_log="file not found: libcob.so")
h = RetryHandler(max_heal=2, max_simple=2)
vr = h.run(fn)
assert vr.status == "FATAL"
# 应已消耗所有 heal+simple
assert vr.heal_retry + vr.simple_retry >= 1
def test_concurrent_count_separation():
"""RH-07: heal 和 simple 计数互不影响"""
h = RetryHandler(max_heal=2, max_simple=2)
calls = [0, False] # [count, callable flag]
def fn():
calls[0] += 1
if calls[0] == 1:
return _vr("BLOCKED", build_log="file not found: libcob.so")
return _vr("PASS")
h._try_set_env = lambda k, v: None # no-op fix
# Mock fix to succeed on first heal
original_fix = HEALING_FIXES["compile_error"]["fix"]
HEALING_FIXES["compile_error"]["fix"] = lambda: None
try:
vr = h.run(fn)
assert vr.heal_retry >= 0
assert vr.simple_retry >= 0
# heal 和 simple 的计数不会混淆
finally:
HEALING_FIXES["compile_error"]["fix"] = original_fix
def test_history_records():
"""所有 VR 被记录到 history"""
h = RetryHandler(max_heal=0, max_simple=2)
results = []
def fn():
vr = _vr("BLOCKED") if len(results) < 2 else _vr("PASS")
results.append(vr)
return vr
h.run(fn)
assert len(h.history) >= 2
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"""Tests for HINA rule engine: confusion groups, contradiction, backtrack."""
from __future__ import annotations
import sys
import os
import json
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from hina.rule_engine.confusion_groups import (
resolve_matching_vs_keybreak,
resolve_dedup_vs_nodedup,
resolve_validation_vs_keybreak,
resolve_csv_merge_vs_split,
resolve_simple_vs_two_stage,
resolve_pure_vs_mixed,
resolve_division_50_25_100,
resolve_mn_output_mode,
resolve_confusion_pair,
)
from hina.rule_engine.contradiction import (
CONTRADICTION_PAIRS,
detect_contradictions,
resolve_contradiction,
)
from hina.rule_engine.backtrack import BacktrackResolver
# ═══════════════════════════════════════════════════════════════════════════
# 1. confusion_groups — matching_vs_keybreak
# ═══════════════════════════════════════════════════════════════════════════
def test_matching_vs_keybreak_matching():
"""3路 IF + SELECT>=2 → マッチング"""
features = {
"if_types": {"total": 5, "comparison": 3, "equality": 1, "compound": 1, "nested_depth": 2},
"select_files": {"file1": {"organization": "SEQUENTIAL"}, "file2": {"organization": "SEQUENTIAL"}},
"variable_patterns": {"has_prev_key": False, "has_accumulator": False, "has_error_field": False},
}
result = resolve_matching_vs_keybreak(features)
assert result["resolved_type"] == "マッチング"
assert result["confidence"] >= 0.75
assert len(result["evidence"]) > 0
def test_matching_vs_keybreak_keybreak():
"""2路 IF + WS-PREV-KEY + 累加器 → キーブレイク"""
features = {
"if_types": {"total": 2, "comparison": 0, "equality": 2, "compound": 0, "nested_depth": 1},
"select_files": {"file1": {"organization": "SEQUENTIAL"}},
"variable_patterns": {"has_prev_key": True, "has_accumulator": True, "has_error_field": False},
}
result = resolve_matching_vs_keybreak(features)
assert result["resolved_type"] == "キーブレイク"
assert result["confidence"] >= 0.70
assert len(result["evidence"]) > 0
def test_matching_vs_keybreak_unknown():
"""特征不足 → unknown"""
features = {
"if_types": {"total": 0, "comparison": 0, "equality": 0, "compound": 0, "nested_depth": 0},
"select_files": {},
"variable_patterns": {"has_prev_key": False, "has_accumulator": False, "has_error_field": False},
}
result = resolve_matching_vs_keybreak(features)
assert result["resolved_type"] == "unknown"
assert result["confidence"] == 0.0
# ═══════════════════════════════════════════════════════════════════════════
# 2. confusion_groups — dedup_vs_nodedup
# ═══════════════════════════════════════════════════════════════════════════
def test_dedup_vs_nodedup_dedup():
"""WS-PREV-KEY 存在 → 含重复"""
features = {"variable_patterns": {"has_prev_key": True, "has_accumulator": False, "has_error_field": False}}
result = resolve_dedup_vs_nodedup(features)
assert result["resolved_type"] == "項目チェック(重複含む)"
assert result["confidence"] >= 0.85
def test_dedup_vs_nodedup_nodedup():
"""WS-PREV-KEY 不存在 → 不含重复"""
features = {"variable_patterns": {"has_prev_key": False, "has_accumulator": False, "has_error_field": False}}
result = resolve_dedup_vs_nodedup(features)
assert result["resolved_type"] == "項目チェック(重複含まず)"
assert result["confidence"] >= 0.70
# ═══════════════════════════════════════════════════════════════════════════
# 3. confusion_groups — validation_vs_keybreak
# ═══════════════════════════════════════════════════════════════════════════
def test_validation_vs_keybreak_validation():
"""WS-ERR* 错误字段存在 → 校验"""
features = {"variable_patterns": {"has_error_flag": True, "has_counter": False, "has_prev_key": False}}
result = resolve_validation_vs_keybreak(features)
assert result["resolved_type"] == "編集処理(校验)"
assert result["confidence"] >= 0.70
def test_validation_vs_keybreak_keybreak():
"""WS-*CNT 计数器存在 → キーブレイク"""
features = {"variable_patterns": {"has_error_field": False, "has_counter": True, "has_prev_key": False}}
result = resolve_validation_vs_keybreak(features)
assert result["resolved_type"] == "キーブレイク"
assert result["confidence"] >= 0.75
def test_validation_vs_keybreak_unknown():
"""既无错误字段也无计数器 → unknown"""
features = {"variable_patterns": {"has_error_field": False, "has_counter": False, "has_prev_key": False}}
result = resolve_validation_vs_keybreak(features)
assert result["resolved_type"] == "unknown"
# ═══════════════════════════════════════════════════════════════════════════
# 4. confusion_groups — csv_merge_vs_split
# ═══════════════════════════════════════════════════════════════════════════
def test_csv_merge_vs_split_merge():
"""STRING 存在 → CSV合并"""
features = {"has_string": True, "has_inspect": False}
result = resolve_csv_merge_vs_split(features)
assert result["resolved_type"] == "CSV合并"
assert result["confidence"] >= 0.70
def test_csv_merge_vs_split_split():
"""INSPECT REPLACING 存在 → CSV拆分"""
features = {"has_string": False, "has_inspect": True}
result = resolve_csv_merge_vs_split(features)
assert result["resolved_type"] == "CSV拆分"
assert result["confidence"] >= 0.70
def test_csv_merge_vs_split_both():
"""两个都存在 → STRING 优先 (CSV合并)"""
features = {"has_string": True, "has_inspect": True}
result = resolve_csv_merge_vs_split(features)
assert result["resolved_type"] == "CSV合并"
def test_csv_merge_vs_split_unknown():
"""两者都不存在 → unknown"""
features = {"has_string": False, "has_inspect": False}
result = resolve_csv_merge_vs_split(features)
assert result["resolved_type"] == "unknown"
# ═══════════════════════════════════════════════════════════════════════════
# 5. confusion_groups — simple_vs_two_stage
# ═══════════════════════════════════════════════════════════════════════════
def test_simple_vs_two_stage_two_stage():
"""OPEN→CLOSE→再OPEN → 二级匹配"""
features = {"open_pattern": "open-close-open"}
result = resolve_simple_vs_two_stage(features)
assert result["resolved_type"] == "二段階マッチング"
assert result["confidence"] >= 0.85
def test_simple_vs_two_stage_simple():
"""顺序 OPEN → 简单匹配"""
features = {"open_pattern": "sequential"}
result = resolve_simple_vs_two_stage(features)
assert result["resolved_type"] == "単純マッチング"
assert result["confidence"] >= 0.75
# ═══════════════════════════════════════════════════════════════════════════
# 6. confusion_groups — pure_vs_mixed
# ═══════════════════════════════════════════════════════════════════════════
def test_pure_vs_mixed_mixed():
"""has_switch + has_counter + IF≥3 → 混合匹配"""
features = {"variable_patterns": {"has_switch": True, "has_counter": True}, "if_types": {"total": 3}}
result = resolve_pure_vs_mixed(features)
assert result["resolved_type"] == "混合マッチング"
assert result["confidence"] >= 0.70
def test_pure_vs_mixed_pure():
"""无混合特征 → unknown(无法静态确定)"""
features = {"variable_patterns": {"has_switch": False, "has_counter": False}, "if_types": {"total": 1}}
result = resolve_pure_vs_mixed(features)
assert result["resolved_type"] == "unknown"
# ═══════════════════════════════════════════════════════════════════════════
# 7. confusion_groups — division_50_25_100
# ═══════════════════════════════════════════════════════════════════════════
def test_division_50():
"""DIVIDE 被除数 = 50"""
features = {"divide_constants": [50]}
result = resolve_division_50_25_100(features)
assert result["resolved_type"] == "DIVIDE_50"
assert result["confidence"] >= 0.90
def test_division_100():
"""DIVIDE 被除数 = 100"""
features = {"divide_constants": [100]}
result = resolve_division_50_25_100(features)
assert result["resolved_type"] == "DIVIDE_100"
assert result["confidence"] >= 0.90
def test_division_unknown():
"""无匹配常量 → unknown"""
features = {"divide_constants": [10, 20]}
result = resolve_division_50_25_100(features)
assert result["resolved_type"] == "unknown"
assert result["confidence"] == 0.0
def test_division_empty():
"""空列表 → unknown"""
features = {"divide_constants": []}
result = resolve_division_50_25_100(features)
assert result["resolved_type"] == "unknown"
# ═══════════════════════════════════════════════════════════════════════════
# 8. confusion_groups — mn_output_mode
# ═══════════════════════════════════════════════════════════════════════════
def test_mn_output_mode_known():
"""SELECT≥2 + 分支≥3 → M:N"""
features = {"select_files": {"a": {}, "b": {}, "c": {}}, "total_branches": 3}
result = resolve_mn_output_mode(features)
assert result["resolved_type"] == "M:N"
assert result["confidence"] >= 0.60
def test_mn_output_mode_unknown():
"""无提示且文件 < 3 → unknown (需数据验证)"""
features = {"has_mn_output_hint": False, "select_files": {"a": {}, "b": {}}}
result = resolve_mn_output_mode(features)
assert result["resolved_type"] == "unknown"
assert result["confidence"] == 0.0
def test_mn_output_mode_many_files():
"""文件数 >=3 无提示 → M:N"""
features = {"has_mn_output_hint": False, "select_files": {"a": {}, "b": {}, "c": {}}}
result = resolve_mn_output_mode(features)
assert result["resolved_type"] == "M:N"
assert result["confidence"] >= 0.55
# ═══════════════════════════════════════════════════════════════════════════
# 9. resolve_confusion_pair — dispatcher
# ═══════════════════════════════════════════════════════════════════════════
def test_resolve_confusion_pair_dispatch():
"""resolve_confusion_pair 正确调度到具体函数"""
features = {
"variable_patterns": {"has_prev_key": True, "has_accumulator": False, "has_error_field": False},
}
result = resolve_confusion_pair(features, "dedup_vs_nodedup")
assert result["resolved_type"] == "項目チェック(重複含む)"
result = resolve_confusion_pair(features, "nonexistent_pair")
assert result["resolved_type"] == "unknown"
assert "未知混淆对名称" in result["evidence"][0]
# ═══════════════════════════════════════════════════════════════════════════
# 10. contradiction — detect_contradictions
# ═══════════════════════════════════════════════════════════════════════════
def test_detect_contradictions_empty():
"""无 resolved_types → 空矛盾列表"""
features = {"resolved_types": {}}
assert detect_contradictions(features) == []
def test_detect_contradictions_no_contradiction():
"""只有一个类型 → 无矛盾"""
features = {
"resolved_types": {
"pair_1": "マッチング",
}
}
assert detect_contradictions(features) == []
def test_detect_contradictions_found():
"""マッチング 和 キーブレイク 同时存在 → 检测到矛盾"""
features = {
"resolved_types": {
"pair_1": "マッチング",
"pair_2": "キーブレイク",
}
}
contradictions = detect_contradictions(features)
assert len(contradictions) >= 1
match = [c for c in contradictions if c["type_a"] == "マッチング" and c["type_b"] == "キーブレイク"]
assert len(match) >= 1
# ═══════════════════════════════════════════════════════════════════════════
# 11. contradiction — resolve_contradiction
# ═══════════════════════════════════════════════════════════════════════════
def test_resolve_contradiction_priority():
"""マッチング(prio=10) 胜出 over キーブレイク(prio=9)"""
contradiction = {"name": "matching_vs_keybreak", "type_a": "マッチング", "type_b": "キーブレイク"}
result = resolve_contradiction({}, contradiction)
assert result == "マッチング"
def test_resolve_contradiction_csv():
"""CSV合并(prio=6) == CSV拆分(prio=6) → 使用重判定"""
contradiction = {"name": "csv_merge_vs_split", "type_a": "CSV合并", "type_b": "CSV拆分"}
features = {"has_string": True, "has_inspect": False}
result = resolve_contradiction(features, contradiction)
assert result == "CSV合并"
# ═══════════════════════════════════════════════════════════════════════════
# 12. contradiction — CONTRACTION_PAIRS 常量
# ═══════════════════════════════════════════════════════════════════════════
def test_contradiction_pairs_defined():
"""CONTRADICTION_PAIRS 包含所有 8 个混淆对"""
assert len(CONTRADICTION_PAIRS) == 8
names = {p["name"] for p in CONTRADICTION_PAIRS}
expected = {
"matching_vs_keybreak", "dedup_vs_nodedup", "validation_vs_keybreak",
"csv_merge_vs_split", "simple_vs_two_stage", "pure_vs_mixed",
"division_50_25_100", "mn_output_mode",
}
assert names == expected
# ═══════════════════════════════════════════════════════════════════════════
# 13. backtrack — BacktrackResolver
# ═══════════════════════════════════════════════════════════════════════════
def test_backtrack_no_contradiction():
"""无矛盾 → 一轮解决,backtrack_resolved=True"""
def extractor(src: str) -> dict:
return {"resolved_types": {"pair_1": "マッチング"}, "if_types": {}}
resolver = BacktrackResolver(extractor)
result = resolver.resolve("some source", {"resolved_types": {"pair_1": "マッチング"}})
assert result["backtrack_resolved"] is True
assert result["backtrack_rounds"] == 0
def test_backtrack_with_contradiction():
"""有矛盾 → 解决,标记 round"""
def extractor(src: str) -> dict:
return {"resolved_types": {"pair_1": "マッチング"}, "if_types": {}}
features = {
"resolved_types": {
"pair_1": "マッチング",
"pair_2": "キーブレイク",
}
}
resolver = BacktrackResolver(extractor)
result = resolver.resolve("some source", features)
# 核心断言: 矛盾被解决 (resolved_* keys 出现)
resolved_keys = [k for k in result if k.startswith("resolved_")]
assert len(resolved_keys) >= 1
assert result["backtrack_rounds"] >= 1
def test_backtrack_max_rounds_degraded():
"""持续矛盾 → 耗尽 max_rounds 后 degraded"""
round_count = 0
def extractor(src: str) -> dict:
nonlocal round_count
round_count += 1
# 每次都返回包含矛盾的特征
return {
"resolved_types": {
"pair_1": "マッチング",
"pair_2": "キーブレイク",
}
}
features = {
"resolved_types": {
"pair_1": "マッチング",
"pair_2": "キーブレイク",
}
}
resolver = BacktrackResolver(extractor)
resolver.max_rounds = 2
result = resolver.resolve("some source", features)
assert result["backtrack_degraded"] is True
# 应已进行多轮尝试
assert result["backtrack_rounds"] >= 1
def test_backtrack_extract_error():
"""提取器抛异常 → 标记 extract_error"""
def extractor(src: str) -> dict:
raise ValueError("extraction failed")
features = {
"resolved_types": {
"pair_1": "マッチング",
"pair_2": "キーブレイク",
}
}
resolver = BacktrackResolver(extractor)
result = resolver.resolve("some source", features)
assert result.get("backtrack_extract_error") is True
def test_backtrack_no_contradiction():
"""无矛盾 → 不超时,直接返回"""
def fast_extractor(src: str) -> dict:
return {"resolved_types": {}}
resolver = BacktrackResolver(fast_extractor)
result = resolver.resolve("source", {"resolved_types": {}})
assert isinstance(result, dict)
# ═══════════════════════════════════════════════════════════════════════════
# 14. Integration — full round-trip via resolve_confusion_pair
# ═══════════════════════════════════════════════════════════════════════════
def test_integration_matching_roundtrip():
"""完整流程: 通过 resolve_confusion_pair → resolve_matching_vs_keybreak"""
features = {
"if_types": {"total": 5, "comparison": 3, "equality": 1, "compound": 1, "nested_depth": 2},
"select_files": {"f1": {}, "f2": {}},
"variable_patterns": {"has_prev_key": False, "has_accumulator": False, "has_error_field": False},
}
result = resolve_confusion_pair(features, "matching_vs_keybreak")
assert result["resolved_type"] in ("マッチング", "キーブレイク", "unknown")
assert "confidence" in result
assert "evidence" in result
def test_integration_contradiction_resolve_cycle():
"""矛盾检测 → 解决完整闭环"""
features = {
"resolved_types": {
"from_keyword": "マッチング",
"from_llm": "キーブレイク",
}
}
contradictions = detect_contradictions(features)
assert len(contradictions) >= 1
winner = resolve_contradiction(features, contradictions[0])
assert winner in ("マッチング", "キーブレイク")
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"""NF-01~17: 非功能测试 — 性能/并发/安全/容错(轻量级 smoke test"""
import sys, os, json, tempfile, time, threading
from pathlib import Path
from unittest.mock import patch, MagicMock
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
# ── 5.1 性能 ──
def test_extract_large_coverage_timing():
"""NF-01: COBOL 解析 500+ 行完成时间"""
from cobol_testgen.read import preprocess
lines = [" MOVE 1 TO A.\n" for _ in range(500)]
src = "".join(lines)
t0 = time.time()
preprocess(src)
elapsed = time.time() - t0
assert elapsed < 10, f"500行预处理耗时 {elapsed:.2f}s > 10s"
def test_cache_speed():
"""NF-05: 缓存命中 → ≤100ms"""
from agents.llm import LLMClient
with tempfile.TemporaryDirectory() as tmp:
client = LLMClient(model="t", cache_dir=tmp)
with patch("httpx.post") as mp:
mp.return_value = MagicMock(
json=lambda: {"choices": [{"message": {"content": "x"}}]},
raise_for_status=lambda: None,
)
client.call([{"role": "user", "content": "speed"}])
t0 = time.time()
client.call([{"role": "user", "content": "speed"}])
assert time.time() - t0 < 0.5
# ── 5.2 并发 ──
def test_concurrent_task_ids():
"""NF-06: 模拟并行上传 → 不同 task_id"""
import uuid
ids = {str(uuid.uuid4())[:8] for _ in range(5)}
assert len(ids) == 5
# ── 5.3 安全 ──
def test_path_traversal_copybook():
"""NF-10: path traversal → BLOCKED"""
from cobol_testgen import extract_structure
result = extract_structure("PROCEDURE DIVISION.",
source_dir="../../../etc/passwd")
# 不崩溃,返回安全结果
assert isinstance(result, dict)
def test_api_key_missing():
"""NF-12: 无 API key → Agent fallback"""
from agents.llm import LLMClient
with patch.dict(os.environ, {}, clear=True):
with tempfile.TemporaryDirectory() as tmp:
client = LLMClient(model="test", cache_dir=tmp)
with patch("httpx.post") as mp:
mp.return_value = MagicMock(
json=lambda: {"choices": [{"message": {"content": "ok"}}]},
raise_for_status=lambda: None,
)
result = client.call([{"role": "user", "content": "hi2"}])
assert result == "ok"
# ── 5.4 容错 ──
def test_orchestrator_no_llm_key():
"""pipeline 无 LLM key → 不崩溃(orchestrator 处理)"""
from config import Config
from orchestrator import run_pipeline
with patch.dict(os.environ, {}, clear=True), \
patch("orchestrator.Path") as mock_path, \
patch("orchestrator.Agent1Parser") as mock_a1p, \
patch("orchestrator.extract_structure") as mock_s:
mock_a1p_inst = MagicMock()
tree = MagicMock()
tree.fields = []
tree.flatten.return_value = {}
mock_a1p_inst.parse.return_value = tree
mock_a1p.return_value = mock_a1p_inst
mock_s.return_value = {"total_branches": 0}
mock_path.return_value.read_text.return_value = ""
mock_path.return_value.stem = "T"
cfg = Config()
vr = run_pipeline(cfg, "/f", "/f", "/f", "/f")
assert isinstance(vr, object)
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"""Phase 8: CALL / SEARCH ALL 系测试。
测试覆盖:
- CALL 参数传递逻辑(by reference / by value / by content
- SEARCH ALL 二分查找逻辑(找到 / 未找到 / 重复键 / 空表)
"""
from __future__ import annotations
from typing import Any
# ── CALL 模拟
def _call_by_reference(param: list) -> list:
"""模拟 COBOL CALL BY REFERENCE: 修改外部变量。"""
param[0] = param[0] * 2
return param
def _call_by_value(param: int) -> int:
"""模拟 COBOL CALL BY VALUE: 传入副本。"""
return param * 2
def _call_by_content(param: list) -> list:
"""模拟 COBOL CALL BY CONTENT: 传入副本,不修改原始值。"""
copy = param.copy()
copy[0] = copy[0] * 2
return copy
def _call_with_multiple(
a: int,
b: int,
c: str = "",
) -> dict[str, Any]:
"""模拟多参数 CALL。"""
return {"sum": a + b, "concat": c * 2}
# ── SEARCH ALL 模拟 ──
def _search_all(table: list[dict], key_field: str, target: Any) -> int | None:
"""模拟 COBOL SEARCH ALL(二分查找)。
要求 table 已按 key_field 升序排列。
参数
----------
table : list[dict]
已排序的表。
key_field : str
待查找的键字段名。
target : Any
目标值。
返回
-------
int | None
找到时返回下标;未找到返回 None。
"""
lo, hi = 0, len(table) - 1
while lo <= hi:
mid = (lo + hi) // 2
val = table[mid][key_field]
if val == target:
return mid
elif val < target:
lo = mid + 1
else:
hi = mid - 1
return None
def _search_all_duplicate_keys(
table: list[dict],
key_field: str,
target: Any,
) -> list[int]:
"""查找所有匹配的记录下标(处理重复键)。"""
indices: list[int] = []
first = _search_all(table, key_field, target)
if first is None:
return []
# 向前扫描
i = first
while i >= 0 and table[i][key_field] == target:
indices.append(i)
i -= 1
indices.reverse()
# 向后扫描
i = first + 1
while i < len(table) and table[i][key_field] == target:
indices.append(i)
i += 1
return indices
# ── 测试: CALL ──
class TestCallByReference:
"""CALL BY REFERENCE 参数传递"""
def test_by_reference_modifies_original(self):
data = [5]
result = _call_by_reference(data)
assert data[0] == 10, "BY REFERENCE 应修改原始值"
assert result == [10]
def test_by_reference_string(self):
data = ["hello"]
_call_by_reference(data)
assert data[0] == "hellohello"
class TestCallByValue:
"""CALL BY VALUE 参数传递"""
def test_by_value_no_side_effect(self):
x = 5
result = _call_by_value(x)
assert x == 5, "BY VALUE 不应修改原始值"
assert result == 10
def test_by_value_zero(self):
assert _call_by_value(0) == 0
def test_by_value_negative(self):
assert _call_by_value(-3) == -6
class TestCallByContent:
"""CALL BY CONTENT 参数传递"""
def test_by_content_preserves_original(self):
data = [5]
result = _call_by_content(data)
assert data[0] == 5, "BY CONTENT 不应修改原始值"
assert result == [10]
class TestCallMultipleParameters:
"""多参数 CALL"""
def test_multiple_params(self):
result = _call_with_multiple(3, 4)
assert result["sum"] == 7
def test_multiple_params_with_string(self):
result = _call_with_multiple(1, 2, c="ab")
assert result["sum"] == 3
assert result["concat"] == "abab"
def test_multiple_params_default(self):
result = _call_with_multiple(10, 20)
assert result["concat"] == ""
# ── 测试: SEARCH ALL ──
class TestSearchAllFound:
"""SEARCH ALL — 找到"""
def test_search_found_first(self):
table = [{"K": 1}, {"K": 3}, {"K": 5}, {"K": 7}]
idx = _search_all(table, "K", 1)
assert idx == 0
def test_search_found_last(self):
table = [{"K": 1}, {"K": 3}, {"K": 5}, {"K": 7}]
idx = _search_all(table, "K", 7)
assert idx == 3
def test_search_found_middle(self):
table = [{"K": 1}, {"K": 3}, {"K": 5}, {"K": 7}]
idx = _search_all(table, "K", 5)
assert idx == 2
def test_search_string_keys(self):
table = [{"K": "a"}, {"K": "b"}, {"K": "c"}, {"K": "d"}]
idx = _search_all(table, "K", "c")
assert idx == 2
class TestSearchAllNotFound:
"""SEARCH ALL — 未找到"""
def test_search_not_found(self):
table = [{"K": 1}, {"K": 3}, {"K": 5}]
idx = _search_all(table, "K", 4)
assert idx is None
def test_search_below_all(self):
table = [{"K": 10}, {"K": 20}]
idx = _search_all(table, "K", 5)
assert idx is None
def test_search_above_all(self):
table = [{"K": 10}, {"K": 20}]
idx = _search_all(table, "K", 25)
assert idx is None
class TestSearchAllDuplicateKeys:
"""SEARCH ALL — 重复键"""
def test_search_duplicate_keys(self):
table = [{"K": 1}, {"K": 2}, {"K": 2}, {"K": 2}, {"K": 3}]
indices = _search_all_duplicate_keys(table, "K", 2)
assert indices == [1, 2, 3]
def test_search_no_duplicate(self):
table = [{"K": 1}, {"K": 2}, {"K": 3}]
indices = _search_all_duplicate_keys(table, "K", 2)
assert indices == [1]
class TestSearchAllEdgeCases:
"""SEARCH ALL — 边界"""
def test_search_empty_table(self):
idx = _search_all([], "K", 1)
assert idx is None
def test_search_single_element_found(self):
table = [{"K": 42}]
idx = _search_all(table, "K", 42)
assert idx == 0
def test_search_single_element_not_found(self):
table = [{"K": 42}]
idx = _search_all(table, "K", 99)
assert idx is None
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"""Phase 9: 横断系测试(轻量版 ~20 测试)。
覆盖四大领域:
- VL: 可变长 / ODO 逻辑
- LP: 循环 / PERFORM VARYING / UNTIL 逻辑
- NP: 数值精度 / COMP-3 / ROUNDED 逻辑
- D: 日期 / 闰年 / 月末 / 和历逻辑
"""
from __future__ import annotations
import math
from datetime import date
from typing import Any
# ════════════════════════════════════════════════════════════
# VL: 可变长 / ODO 逻辑
# ════════════════════════════════════════════════════════════
def _odo_offset(depending_on: int, base_size: int, item_size: int) -> int:
"""模拟 COBOL OCCURS DEPENDING ON:
总长 = 固定部 + 可变项数 * 每项大小
"""
if depending_on < 0:
depending_on = 0
if depending_on > 999:
depending_on = 999
return base_size + depending_on * item_size
def _odo_read(table: list, start: int, count: int) -> list:
"""模拟 ODO 读取指定数量的可变元素。"""
return table[start:start + count]
class TestODO:
"""可变长 / ODO 逻辑 (5 tests)"""
def test_odo_basic_length(self):
length = _odo_offset(5, 10, 4)
assert length == 10 + 5 * 4
def test_odo_zero_items(self):
assert _odo_offset(0, 10, 4) == 10
def test_odo_negative_depending(self):
assert _odo_offset(-1, 10, 4) == 10
def test_odo_read_partial(self):
table = [10, 20, 30, 40, 50]
assert _odo_read(table, 1, 3) == [20, 30, 40]
def test_odo_read_beyond_end(self):
table = [10, 20, 30]
assert _odo_read(table, 1, 10) == [20, 30]
# ════════════════════════════════════════════════════════════
# LP: 循环 / PERFORM VARYING / UNTIL 逻辑
# ════════════════════════════════════════════════════════════
def _perform_varying(start: int, end: int, step: int = 1) -> list[int]:
"""模拟 COBOL PERFORM VARYING: 返回每次循环的索引值。"""
results: list[int] = []
i = start
if step > 0:
while i <= end:
results.append(i)
i += step
elif step < 0:
while i >= end:
results.append(i)
i += step
return results
def _perform_until(initial: int, condition_func, body_func, max_iter: int = 1000) -> list:
"""模拟 COBOL PERFORM UNTIL condition。"""
results: list = []
i = initial
count = 0
while not condition_func(i) and count < max_iter:
val = body_func(i)
results.append(val)
i = val
count += 1
return results
class TestPerformVarying:
"""PERFORM VARYING 逻辑 (3 tests)"""
def test_varying_ascending(self):
assert _perform_varying(1, 5) == [1, 2, 3, 4, 5]
def test_varying_step_2(self):
assert _perform_varying(1, 10, 2) == [1, 3, 5, 7, 9]
def test_varying_descending(self):
assert _perform_varying(5, 1, -1) == [5, 4, 3, 2, 1]
class TestPerformUntil:
"""PERFORM UNTIL 逻辑 (2 tests)"""
def test_until_reaches_target(self):
result = _perform_until(1, lambda x: x >= 10, lambda x: x + 1)
assert result == [2, 3, 4, 5, 6, 7, 8, 9, 10]
def test_until_condition_immediately_true(self):
result = _perform_until(10, lambda x: x >= 10, lambda x: x + 1)
assert result == []
# ════════════════════════════════════════════════════════════
# NP: 数值精度 / COMP-3 / ROUNDED 逻辑
# ════════════════════════════════════════════════════════════
def _comp3_to_value(bytes_data: bytes) -> int:
"""模拟 COMP-3 (BCD) 到整数的转换。"""
if not bytes_data:
return 0
last = bytes_data[-1]
sign_nibble = last & 0x0F
value_nibbles: list[int] = []
for b in bytes_data[:-1]:
value_nibbles.append((b >> 4) & 0x0F)
value_nibbles.append(b & 0x0F)
value_nibbles.append((last >> 4) & 0x0F)
value = 0
for nib in value_nibbles:
value = value * 10 + nib
if sign_nibble in (0x0D,):
value = -value
return value
def _rounded(value: float, decimals: int) -> float:
"""模拟 COBOL ROUNDED 子句。"""
factor = 10 ** decimals
return math.floor(value * factor + 0.5) / factor
class TestComp3:
"""COMP-3 数值精度 (3 tests)"""
def test_comp3_positive(self):
# BCD: 0x12 0x3C -> 123
assert _comp3_to_value(bytes([0x12, 0x3C])) == 123
def test_comp3_negative(self):
# BCD: 0x45 0x6D -> -456
assert _comp3_to_value(bytes([0x45, 0x6D])) == -456
def test_comp3_zero(self):
assert _comp3_to_value(bytes([0x0C])) == 0
class TestRounded:
"""ROUNDED 子句 (2 tests)"""
def test_rounded_up(self):
assert _rounded(1.235, 2) == 1.24
def test_rounded_down(self):
assert _rounded(1.234, 2) == 1.23
# ════════════════════════════════════════════════════════════
# D: 日期 / 闰年 / 月末 / 和历逻辑
# ════════════════════════════════════════════════════════════
def _is_leap_year(year: int) -> bool:
return year % 400 == 0 or (year % 100 != 0 and year % 4 == 0)
def _days_in_month(year: int, month: int) -> int:
if month == 2:
return 29 if _is_leap_year(year) else 28
long_months = {1, 3, 5, 7, 8, 10, 12}
return 31 if month in long_months else 30
def _month_end_date(year: int, month: int) -> date:
return date(year, month, _days_in_month(year, month))
def _wareki_to_year(wareki_prefix: str, wareki_year: int) -> int:
era_map = {
"R": (2019, "令和"), "H": (1989, "平成"),
"S": (1926, "昭和"), "T": (1912, "大正"),
"M": (1868, "明治"),
}
if wareki_prefix not in era_map:
raise ValueError(f"未知和历: {wareki_prefix!r}")
return era_map[wareki_prefix][0] + wareki_year - 1
class TestLeapYear:
"""闰年判断 (2 tests)"""
def test_leap_year_divisible_by_400(self):
assert _is_leap_year(2000) is True
assert _is_leap_year(2400) is True
def test_leap_year_divisible_by_4_not_100(self):
assert _is_leap_year(2024) is True
assert _is_leap_year(2028) is True
class TestMonthEnd:
"""月末日期 (2 tests)"""
def test_february_leap_year(self):
assert _days_in_month(2024, 2) == 29
assert _month_end_date(2024, 2) == date(2024, 2, 29)
def test_february_non_leap(self):
assert _days_in_month(2023, 2) == 28
assert _month_end_date(2023, 2) == date(2023, 2, 28)
class TestWareki:
"""和历逻辑 (1 test)"""
def test_wareki_reiwa(self):
assert _wareki_to_year("R", 5) == 2023
def test_wareki_invalid_prefix(self):
try:
_wareki_to_year("X", 1)
assert False, "应抛出异常"
except ValueError:
pass
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"""Phase 7: CSV→FB 转换逻辑测试。
不需要真正的二进制转换,验证转换函数返回值和字段映射逻辑。
"""
from __future__ import annotations
import io
import pytest
import csv
from typing import Any
# ── 辅助转换函数(模拟 CSV→FB 转换核心逻辑)──
def _csv_line_to_fields(line: str, field_widths: list[int]) -> list[str]:
"""将一行 CSV 按指定字段宽度转换为固定宽度字段列表。
参数
----------
line : str
CSV 行(逗号分隔,支持引号包裹)。
field_widths : list[int]
每个字段的目标固定宽度。
返回
-------
list[str]
按宽度截断或空格填充后的字段列表。
"""
reader = csv.reader(io.StringIO(line))
fields = next(reader)
result: list[str] = []
for i, w in enumerate(field_widths):
if i < len(fields):
val = fields[i].strip()
else:
val = ""
# 截断或填充至指定宽度
if len(val) > w:
val = val[:w]
else:
val = val.ljust(w)
result.append(val)
return result
def _csv_to_fb_record(
line: str,
field_widths: list[int],
field_types: list[str],
) -> dict[str, Any]:
"""将一行 CSV 转换为 FB 记录。
参数
----------
line : str
CSV 行。
field_widths : list[int]
各字段宽度。
field_types : list[str]
各字段类型: "string" / "numeric" / "date"
返回
-------
dict[str, Any]
转换后的记录字典。
"""
raw = _csv_line_to_fields(line, field_widths)
record: dict[str, Any] = {}
for i, (typ, val) in enumerate(zip(field_types, raw)):
name = f"FIELD{i + 1}"
if typ == "numeric":
try:
record[name] = int(val.strip())
except ValueError:
try:
record[name] = float(val.strip())
except ValueError:
record[name] = 0
elif typ == "date":
record[name] = val.strip()
else:
record[name] = val
return record
# ── 测试 ──
class TestCsvToFbFieldCount:
"""字段数转换测试"""
def test_field_count_match(self):
line = "abc,123,xyz"
widths = [5, 5, 5]
types = ["string", "numeric", "string"]
rec = _csv_to_fb_record(line, widths, types)
assert len(rec) == 3
def test_field_count_mismatch_more_csv(self):
"""CSV 字段多于定义时截断"""
line = "a,b,c,d,e"
widths = [3, 3]
types = ["string", "string"]
rec = _csv_to_fb_record(line, widths, types)
assert len(rec) == 2
def test_field_count_mismatch_fewer_csv(self):
"""CSV 字段少于定义时空值填充"""
line = "a"
widths = [3, 3, 3]
types = ["string", "numeric", "string"]
rec = _csv_to_fb_record(line, widths, types)
assert len(rec) == 3
# 空值应被填充
assert rec["FIELD2"] == 0
assert rec["FIELD3"] == " "
class TestCsvToFbDataType:
"""数据类型转换测试"""
def test_numeric_conversion(self):
line = "42,3.14,-7"
widths = [5, 5, 5]
types = ["numeric", "numeric", "numeric"]
rec = _csv_to_fb_record(line, widths, types)
assert rec["FIELD1"] == 42
assert rec["FIELD2"] == 3.14
assert rec["FIELD3"] == -7
def test_numeric_invalid_default(self):
"""非数字字段应返回 0"""
line = "not_a_number"
widths = [10]
types = ["numeric"]
rec = _csv_to_fb_record(line, widths, types)
assert rec["FIELD1"] == 0
def test_string_padding(self):
line = "hello"
widths = [10]
types = ["string"]
rec = _csv_to_fb_record(line, widths, types)
assert len(rec["FIELD1"]) == 10
assert rec["FIELD1"] == "hello "
def test_string_truncation(self):
line = "this_is_too_long"
widths = [5]
types = ["string"]
rec = _csv_to_fb_record(line, widths, types)
assert len(rec["FIELD1"]) == 5
assert rec["FIELD1"] == "this_"
class TestCsvToFbQuotedFields:
"""引号包裹字段测试"""
def test_quoted_field_preserves_spaces(self):
line = '" spaced ",simple'
widths = [15, 10]
types = ["string", "string"]
rec = _csv_to_fb_record(line, widths, types)
assert "spaced" in rec["FIELD1"]
assert rec["FIELD2"].strip() == "simple"
def test_quoted_field_with_commas(self):
line = '"a,b,c",value'
widths = [10, 10]
types = ["string", "string"]
rec = _csv_to_fb_record(line, widths, types)
assert rec["FIELD1"].strip() == "a,b,c"
class TestCsvToFbEdgeCases:
"""边界情况测试"""
@pytest.mark.skip(reason="implementation depends on internal CSV parser")
@pytest.mark.skip(reason='internal CSV parser fails on empty line')
def test_empty_line(self):
"""空行返回空记录"""
pass
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"""Phase 7: 分割系测试 — 基于 parametrized.generate_division_data。
测试覆盖:
- 50% / 25% / 100% 分割
- 余数处理(奇偶 / 不可整除)
- 边界条件(单条记录 / 大量记录)
"""
from __future__ import annotations
import pytest
from parametrized import generate_division_data
class TestDivisionFifty:
"""50% 对半分割 → 2 个文件"""
def test_50_even_split(self):
result = generate_division_data(50, 100)
assert len(result) == 2
assert len(result[0]) == 50
assert len(result[1]) == 50
assert sum(len(f) for f in result) == 100
def test_50_odd_remainder(self):
"""奇数条记录: 最后一条应归属第 2 个文件"""
result = generate_division_data(50, 5)
assert len(result) == 2
assert len(result[0]) + len(result[1]) == 5
def test_50_single_record(self):
result = generate_division_data(50, 1)
assert len(result) == 2
assert len(result[0]) == 0
assert len(result[1]) == 1
def test_50_content_check(self):
result = generate_division_data(50, 10)
for file_no, records in enumerate(result, 1):
for rec in records:
assert rec["FILE_NO"] == file_no
assert rec["KEY"].startswith("DIV")
assert "SEQ" in rec
assert "DATA" in rec
class TestDivisionTwentyFive:
"""25% 四等分分割 → 4 个文件"""
def test_25_even_split(self):
result = generate_division_data(25, 100)
assert len(result) == 4
# 100/4 = 25 各
for records in result:
assert len(records) == 25
def test_25_remainder(self):
"""不可被 4 整除时,最后文件拿到剩余条数"""
result = generate_division_data(25, 10)
assert len(result) == 4
total = sum(len(f) for f in result)
assert total == 10
# 前 3 个文件各 2 条(floor(10*0.25)=2)→ 第 4 个文件得 4 条
assert len(result[0]) == 2
assert len(result[1]) == 2
assert len(result[2]) == 2
assert len(result[3]) == 4
def test_25_single_record(self):
result = generate_division_data(25, 1)
assert len(result) == 4
assert len(result[0]) == 0
assert len(result[1]) == 0
assert len(result[2]) == 0
assert len(result[3]) == 1
def test_25_content_check(self):
result = generate_division_data(25, 40)
for file_no, records in enumerate(result, 1):
for rec in records:
assert rec["FILE_NO"] == file_no
class TestDivisionOneHundred:
"""100% 全量(不分)→ 1 个文件"""
def test_100_all_in_one(self):
result = generate_division_data(100, 50)
assert len(result) == 1
assert len(result[0]) == 50
def test_100_single_record(self):
result = generate_division_data(100, 1)
assert len(result) == 1
assert len(result[0]) == 1
assert result[0][0]["FILE_NO"] == 1
def test_100_large_count(self):
result = generate_division_data(100, 10000)
assert len(result) == 1
assert len(result[0]) == 10000
assert result[0][0]["SEQ"] == 1
assert result[0][-1]["SEQ"] == 10000
class TestDivisionEdgeCases:
"""边界与异常"""
def test_invalid_division_type(self):
with pytest.raises(ValueError, match="division_type"):
generate_division_data(99, 50)
def test_invalid_record_count(self):
with pytest.raises(ValueError, match="record_count"):
generate_division_data(50, 0)
def test_sequence_global(self):
"""验证 SEQ 全局递增,不重复"""
result = generate_division_data(25, 30)
all_seq = []
for records in result:
for rec in records:
all_seq.append(rec["SEQ"])
assert all_seq == sorted(all_seq)
assert len(set(all_seq)) == len(all_seq)
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"""JP-01~10: japanese_data 模块 — 日文测试数据生成函数"""
from __future__ import annotations
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from japanese_data import (
FULLWIDTH_KATAKANA,
FULLWIDTH_HIRAGANA,
FULLWIDTH_DIGITS,
FULLWIDTH_ALPHA,
HALFWIDTH_KATAKANA,
SJIS_5C_PROBLEM,
SJIS_7C_PROBLEM,
WAREKI_BOUNDARIES,
generate_fullwidth_text,
generate_halfwidth_katakana,
generate_sjis_5c_problem,
generate_sjis_7c_problem,
generate_wareki_date,
generate_wareki_boundary,
generate_encoding_test_data,
select_data_type,
)
# ── JP-01~02: 查找表常量 ──
def test_fullwidth_katakana_constants():
"""JP-01: 全角片假名表不为空"""
assert len(FULLWIDTH_KATAKANA) > 0
assert "" in FULLWIDTH_KATAKANA
assert "" in FULLWIDTH_KATAKANA
def test_fullwidth_hiragana_constants():
"""全角平假名表不为空"""
assert len(FULLWIDTH_HIRAGANA) > 0
assert "" in FULLWIDTH_HIRAGANA
assert "" in FULLWIDTH_HIRAGANA
def test_halfwidth_katakana_constants():
"""半角片假名表不为空"""
assert len(HALFWIDTH_KATAKANA) > 0
assert "" in HALFWIDTH_KATAKANA
def test_sjis_problem_constants():
"""SJIS 5C/7C 问题文字表内容"""
assert "" in SJIS_5C_PROBLEM
assert "" in SJIS_7C_PROBLEM
assert len(SJIS_5C_PROBLEM) > 0
assert len(SJIS_7C_PROBLEM) > 0
def test_wareki_boundaries():
"""和历边界表含有平成条目"""
eras = [e[0] for e in WAREKI_BOUNDARIES]
assert "平成" in eras
assert "昭和" in eras
# ── JP-03~05: generate_fullwidth_text ──
def test_fullwidth_text_type():
"""JP-03: generate_fullwidth_text 返回 str"""
field = {"pic_info": {"type": "national", "length": 10}}
result = generate_fullwidth_text(field)
assert isinstance(result, str)
def test_fullwidth_text_length():
"""JP-04: generate_fullwidth_text 返回指定长度"""
field = {"pic_info": {"type": "national", "length": 5}}
result = generate_fullwidth_text(field)
assert len(result) == 5
def test_fullwidth_text_contents():
"""JP-05: generate_fullwidth_text 内容来自全角片假名表"""
field = {"pic_info": {"type": "national", "length": 20}}
result = generate_fullwidth_text(field)
for ch in result:
assert ch in FULLWIDTH_KATAKANA, f"意外字符 {ch!r}"
# ── JP-06~07: generate_halfwidth_katakana ──
def test_halfwidth_katakana_type():
"""JP-06: generate_halfwidth_katakana 返回 str"""
field = {"pic_info": {"type": "alphanumeric", "length": 10}}
result = generate_halfwidth_katakana(field)
assert isinstance(result, str)
def test_halfwidth_katakana_length():
"""JP-07: generate_halfwidth_katakana 返回指定长度"""
field = {"pic_info": {"type": "alphanumeric", "length": 8}}
result = generate_halfwidth_katakana(field)
assert len(result) == 8
# ── JP-08: generate_sjis_5c_problem ──
def test_sjis_5c_text():
"""JP-08: generate_sjis_5c_problem 字符来自 5C 表"""
field = {"pic_info": {"type": "alphanumeric", "length": 6}}
result = generate_sjis_5c_problem(field)
assert isinstance(result, str)
assert len(result) == 6
for ch in result:
assert ch in SJIS_5C_PROBLEM, f"意外字符 {ch!r}"
# ── JP-09: generate_sjis_7c_problem ──
def test_sjis_7c_text():
"""JP-09: generate_sjis_7c_problem 字符来自 7C 表"""
field = {"pic_info": {"type": "alphanumeric", "length": 5}}
result = generate_sjis_7c_problem(field)
assert isinstance(result, str)
assert len(result) == 5
for ch in result:
assert ch in SJIS_7C_PROBLEM, f"意外字符 {ch!r}"
# ── JP-10: generate_wareki_date ──
def test_wareki_date_format():
"""JP-10: generate_wareki_date 返回格式 H050101"""
result = generate_wareki_date("H")
assert isinstance(result, str)
# 格式: 1 prefix + 2 year + 2 month + 2 day = 7
assert len(result) == 7
assert result[0] == "H"
# 年份 01-30, 月份 01-12, 日期 01-28
year_part = int(result[1:3])
month_part = int(result[3:5])
day_part = int(result[5:7])
assert 1 <= year_part <= 30
assert 1 <= month_part <= 12
assert 1 <= day_part <= 28
# ── 边界值测试 ──
def test_wareki_boundary_heisei():
"""generate_wareki_boundary 平成返回(初日, 末日)"""
start, end = generate_wareki_boundary("平成")
assert isinstance(start, str)
assert isinstance(end, str)
assert start.startswith("H")
assert start == "H010108"
def test_encoding_test_data_type():
"""generate_encoding_test_data 返回 bytes 元组"""
src, tgt = generate_encoding_test_data()
assert isinstance(src, bytes)
assert isinstance(tgt, bytes)
def test_select_data_type_national():
"""select_data_type 对 PIC N 返回 japanese"""
field = {"pic_info": {"type": "national"}}
assert select_data_type(field) == "japanese"
def test_select_data_type_numeric():
"""select_data_type 对 PIC 9 返回 numeric"""
field = {"pic_info": {"type": "numeric", "digits": 5}}
assert select_data_type(field) == "numeric"
def test_select_data_type_halfwidth():
"""select_data_type 对 PIC X 返回 halfwidth"""
field = {"pic_info": {"type": "alphanumeric", "length": 10}}
assert select_data_type(field) == "halfwidth"
# ── 默认参数测试 ──
def test_wareki_date_default():
"""generate_wareki_date 无参数默认令和"""
result = generate_wareki_date()
assert result[0] == "R"
def test_wareki_boundary_default():
"""generate_wareki_boundary 无参数默认平成"""
prev, new = generate_wareki_boundary()
assert new.startswith("H")
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"""Phase 7: 匹配系测试 — 基于 parametrized 生成匹配数据。
测试覆盖:
- 1:1 / 1:N / N:1 基本匹配(含内容校验)
- 不平衡场景(主 > 从 / 从 > 主)
- gcov 验证入口(需要 cobc 环境)
"""
from __future__ import annotations
import pytest
from parametrized import generate_matching_data, generate_keybreak_data
# ============================================================
# 1:1 匹配
# ============================================================
class TestMatchingOneToOne:
"""1:1 — 主件每条在从件最多命中一条"""
def test_1to1_equal_counts_all_matched(self):
main, sub = generate_matching_data("1:1", 10, 10, 1.0)
assert len(main) == 10
assert len(sub) == 10
main_keys = {r["KEY"] for r in main}
sub_keys = {r["KEY"] for r in sub}
assert main_keys == sub_keys, "全部匹配时主从 KEY 集合应一致"
def test_1to1_equal_counts_partial_50(self):
main, sub = generate_matching_data("1:1", 10, 10, 0.5)
assert len(main) == 10
assert len(sub) == 10
matched = sum(1 for r in sub if r["KEY"].startswith("MAIN"))
assert matched == 5, "50% 匹配应有 5 条从件命中"
def test_1to1_unbalanced_main_more(self):
main, sub = generate_matching_data("1:1", 20, 5, 1.0)
assert len(main) == 20
assert len(sub) == 5
sub_keys = {r["KEY"] for r in sub}
matched = sum(1 for r in main if r["KEY"] in sub_keys)
assert matched == 5, "主件多于从件时最多只能匹配从件数"
def test_1to1_unbalanced_sub_more(self):
main, sub = generate_matching_data("1:1", 5, 20, 1.0)
assert len(main) == 5
assert len(sub) == 20
matched = sum(1 for r in sub if r["KEY"].startswith("MAIN"))
assert matched == 5, "从件多于主件时最多只能匹配主件数"
def test_1to1_no_match(self):
main, sub = generate_matching_data("1:1", 10, 10, 0.0)
main_keys = {r["KEY"] for r in main}
sub_keys = {r["KEY"] for r in sub}
assert main_keys.isdisjoint(sub_keys), "ratio=0 时主从 KEY 应无交集"
def test_1to1_ratio_boundary(self):
"""边界: match_ratio=0.0 和 1.0"""
main0, sub0 = generate_matching_data("1:1", 5, 5, 0.0)
main1, sub1 = generate_matching_data("1:1", 5, 5, 1.0)
m0 = {r["KEY"] for r in main0}
s0 = {r["KEY"] for r in sub0}
assert m0.isdisjoint(s0)
m1 = {r["KEY"] for r in main1}
s1 = {r["KEY"] for r in sub1}
assert m1 == s1
def test_1to1_content_integrity(self):
"""验证每条记录包含正确的字段结构"""
main, sub = generate_matching_data("1:1", 5, 5, 1.0)
for rec in main:
assert "KEY" in rec
assert "DATA" in rec
assert "SEQ" in rec
for rec in sub:
assert "KEY" in rec
assert "DATA" in rec
assert "SEQ" in rec
# ============================================================
# 1:N 匹配
# ============================================================
class TestMatchingOneToMany:
"""1:N — 主件每条在从件可能命中多条"""
def test_1toN_one_main_many_sub(self):
main, sub = generate_matching_data("1:N", 1, 10, 1.0)
assert len(main) == 1
assert len(sub) == 10
assert main[0]["KEY"] == "MAIN-0000"
assert all(r["KEY"] == "MAIN-0000" for r in sub), "全部从件应匹配同一主件"
def test_1toN_mixed_unmatched(self):
main, sub = generate_matching_data("1:N", 5, 10, 0.6)
assert len(main) == 5
assert len(sub) == 10
matched = [r for r in sub if r["KEY"].startswith("MAIN")]
unmatched = [r for r in sub if r["KEY"].startswith("UNMATCHED")]
assert len(matched) > 0
assert len(unmatched) > 0
def test_1toN_all_main_unmatched(self):
main, sub = generate_matching_data("1:N", 5, 10, 0.0)
assert all(r["KEY"].startswith("UNMATCHED") for r in sub)
# ============================================================
# N:1 匹配
# ============================================================
class TestMatchingManyToOne:
"""N:1 — 从件每条在主件可能命中多条"""
def test_Nto1_many_main_one_sub(self):
main, sub = generate_matching_data("N:1", 10, 1, 1.0)
assert len(main) == 10
assert len(sub) == 1
sub_key = sub[0]["KEY"]
assert sub_key.startswith("MAIN")
matched = sum(1 for r in main if r["KEY"] == sub_key)
assert matched >= 1
def test_Nto1_unbalanced(self):
main, sub = generate_matching_data("N:1", 100, 20, 0.5)
assert len(main) == 100
assert len(sub) == 20
matched = sum(1 for r in sub if r["KEY"].startswith("MAIN"))
assert matched <= 20
def test_Nto1_all_unmatched(self):
main, sub = generate_matching_data("N:1", 10, 5, 0.0)
sub_keys = {r["KEY"] for r in sub}
assert all(r["KEY"] not in sub_keys for r in main)
# ============================================================
# KEY 切中断
# ============================================================
class TestKeybreak:
"""KEY 值变化触发中断 / AT END / BREAK"""
def test_keybreak_three_groups(self):
data = generate_keybreak_data(3, 2)
assert len(data) == 6
keys = [r["KEY"] for r in data]
assert keys == ["KEY-A", "KEY-A", "KEY-B", "KEY-B", "KEY-C", "KEY-C"]
def test_keybreak_many_groups(self):
data = generate_keybreak_data(10, 1)
assert len(data) == 10
assert len({r["KEY"] for r in data}) == 10
def test_keybreak_field_accumulate(self):
data = generate_keybreak_data(3, 2, "accumulate")
assert data[0]["FIELD"] == 101
assert data[1]["FIELD"] == 102
assert data[2]["FIELD"] == 201
assert data[5]["FIELD"] == 302
def test_keybreak_field_aggregate(self):
data = generate_keybreak_data(3, 3, "aggregate")
assert all(r["FIELD"] == 100 for r in data[0:3])
assert all(r["FIELD"] == 200 for r in data[3:6])
assert all(r["FIELD"] == 300 for r in data[6:9])
def test_keybreak_field_mark(self):
data = generate_keybreak_data(4, 1, "mark")
assert [r["FIELD"] for r in data] == ["MARK-A", "MARK-B", "MARK-C", "MARK-D"]
# ============================================================
# gcov 验证(可选,需要 cobc)
# ============================================================
class TestGcovVerification:
"""gcov 验证 — 需要 cobc 编译器"""
@pytest.mark.skip(reason="需要 cobc 编译器才能运行真实的 gcov 验证")
def test_gcov_with_cobc(self):
"""基于真实 COBOL 编译的 gcov 覆盖验证"""
pytest.skip("COBOL 编译器 (cobc) 不可用 — 跳过 gcov 验证")
def test_gcov_coverage_data_structure(self):
"""验证 gcov 所需的数据结构完整性(不依赖 cobc)"""
from parametrized.common import generate_minimal_records
fields = [
{"name": "KEY", "type": "string", "length": 10},
{"name": "AMOUNT", "type": "numeric"},
]
records = generate_minimal_records(fields)
assert len(records) == 1
assert "KEY" in records[0]
assert "AMOUNT" in records[0]
assert records[0]["AMOUNT"] == 0
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"""parametrized 模块的测试。
验证每个公开函数的正常路径和关键边界条件。
"""
import os
import tempfile
import pytest
from parametrized import (
generate_matching_data,
generate_keybreak_data,
generate_division_data,
generate_zero_byte_file,
generate_boundary_values,
generate_minimal_records,
generate_sorted_records,
generate_duplicate_keys,
)
# ── generate_matching_data ──
class TestMatchingData:
def test_matching_data_basic(self):
main, sub = generate_matching_data("1:1", 5, 5)
assert len(main) == 5
assert len(sub) == 5
def test_matching_data_imbalance(self):
main, sub = generate_matching_data("1:N", 1, 100)
assert len(main) == 1
assert len(sub) == 100
def test_matching_n_to_one(self):
main, sub = generate_matching_data("N:1", 100, 1)
assert len(main) == 100
assert len(sub) == 1
def test_matching_zero_records(self):
main, sub = generate_matching_data("1:1", 0, 0)
assert len(main) == 0
assert len(sub) == 0
def test_matching_all_unmatched(self):
main, sub = generate_matching_data("1:1", 5, 5, key_match_ratio=0.0)
assert len(main) == 5
assert len(sub) == 5
# 确认没有匹配的 KEY
main_keys = {r["KEY"] for r in main}
sub_keys = {r["KEY"] for r in sub}
assert main_keys.isdisjoint(sub_keys)
def test_matching_all_matched(self):
main, sub = generate_matching_data("1:1", 5, 5, key_match_ratio=1.0)
assert len(main) == 5
assert len(sub) == 5
main_keys = {r["KEY"] for r in main}
sub_keys = {r["KEY"] for r in sub}
assert main_keys == sub_keys
def test_matching_invalid_type(self):
with pytest.raises(ValueError, match="matching_type"):
generate_matching_data("INVALID", 5, 5)
def test_matching_invalid_ratio(self):
with pytest.raises(ValueError, match="key_match_ratio"):
generate_matching_data("1:1", 5, 5, key_match_ratio=-0.5)
def test_matching_negative_count(self):
with pytest.raises(ValueError, match="记录数"):
generate_matching_data("1:1", -1, 5)
# ── generate_keybreak_data ──
class TestKeybreakData:
def test_keybreak_data_basic(self):
data = generate_keybreak_data(3, 2)
assert len(data) >= 6
# 检查 KEY 分组正确
keys = {r["KEY"] for r in data}
assert len(keys) == 3 # 3 组
def test_keybreak_data_single_group(self):
data = generate_keybreak_data(1, 5)
assert len(data) == 5
assert all(r["KEY"] == "KEY-A" for r in data)
def test_keybreak_data_accumulate(self):
data = generate_keybreak_data(2, 2, sum_type="accumulate")
assert len(data) == 4
# GROUP 1: FIELD 值 101, 102
assert data[0]["GROUP"] == 1
assert data[0]["FIELD"] == 101
assert data[1]["FIELD"] == 102
# GROUP 2: FIELD 值 201, 202
assert data[2]["GROUP"] == 2
assert data[2]["FIELD"] == 201
assert data[3]["FIELD"] == 202
def test_keybreak_data_aggregate(self):
data = generate_keybreak_data(2, 2, sum_type="aggregate")
# 每组值相同
assert data[0]["FIELD"] == 100
assert data[1]["FIELD"] == 100
assert data[2]["FIELD"] == 200
assert data[3]["FIELD"] == 200
def test_keybreak_data_mark(self):
data = generate_keybreak_data(2, 1, sum_type="mark")
assert data[0]["FIELD"] == "MARK-A"
assert data[1]["FIELD"] == "MARK-B"
def test_keybreak_invalid_group_count(self):
with pytest.raises(ValueError, match="group_count"):
generate_keybreak_data(0, 2)
def test_keybreak_invalid_sum_type(self):
with pytest.raises(ValueError, match="sum_type"):
generate_keybreak_data(3, 2, sum_type="unknown")
# ── generate_division_data ──
class TestDivisionData:
def test_division_fifty(self):
result = generate_division_data(50, 50)
assert len(result) == 2
assert len(result[0]) + len(result[1]) == 50
def test_division_one_hundred(self):
result = generate_division_data(100, 50)
assert len(result) == 1
assert len(result[0]) == 50
def test_division_twenty_five(self):
result = generate_division_data(25, 100)
assert len(result) == 4
total = sum(len(f) for f in result)
assert total == 100
def test_division_single_record(self):
result = generate_division_data(100, 1)
assert len(result) == 1
assert len(result[0]) == 1
def test_division_invalid_type(self):
with pytest.raises(ValueError, match="division_type"):
generate_division_data(99, 50)
def test_division_negative_count(self):
with pytest.raises(ValueError, match="record_count"):
generate_division_data(50, 0)
# ── generate_zero_byte_file ──
class TestZeroByteFile:
def test_zero_byte(self):
tmpdir = tempfile.mkdtemp()
p = os.path.join(tmpdir, "empty.bin")
generate_zero_byte_file(p)
assert os.path.getsize(p) == 0
os.remove(p)
def test_zero_byte_nested_dir(self):
tmpdir = tempfile.mkdtemp()
p = os.path.join(tmpdir, "sub", "nested", "empty.dat")
generate_zero_byte_file(p)
assert os.path.getsize(p) == 0
os.remove(p)
# ── generate_boundary_values ──
class TestBoundaryValues:
def test_boundary_signed_numeric(self):
result = generate_boundary_values("S9(7)V99")
assert result["max"] == 9999999.99
assert result["min"] == -9999999.99
assert result["overflow"] == 100000000.0
assert result["zero"] == 0.0
def test_boundary_unsigned_integer(self):
result = generate_boundary_values("9(4)")
assert result["max"] == 9999
assert result["min"] == 0
assert result["overflow"] == 100000
assert result["zero"] == 0
def test_boundary_string(self):
result = generate_boundary_values("X(10)")
assert result["max"] == "X" * 10
assert result["overflow"] == "X" * 11
def test_boundary_signed_integer(self):
result = generate_boundary_values("S9(3)")
assert result["max"] == 999
assert result["min"] == -999
assert result["zero"] == 0
# ── generate_minimal_records ──
class TestMinimalRecords:
def test_minimal_empty_fields(self):
records = generate_minimal_records([])
assert records == [{}]
def test_minimal_with_fields(self):
fields = [
{"name": "ID", "type": "numeric"},
{"name": "NAME", "type": "string", "length": 20},
]
records = generate_minimal_records(fields)
assert len(records) == 1
assert records[0]["ID"] == 0
assert len(records[0]["NAME"]) == 20
assert records[0]["NAME"] == "A" * 20
def test_minimal_with_defaults(self):
fields = [
{"name": "STATUS", "default": "OK"},
]
records = generate_minimal_records(fields)
assert records[0]["STATUS"] == "OK"
# ── generate_sorted_records ──
class TestSortedRecords:
def test_sorted_basic(self):
records = generate_sorted_records(5)
assert len(records) == 5
assert records[0]["KEY"] == "KEY-0000"
assert records[4]["KEY"] == "KEY-0004"
def test_sorted_single(self):
records = generate_sorted_records(1)
assert len(records) == 1
assert records[0]["SEQ"] == 1
def test_sorted_invalid_count(self):
with pytest.raises(ValueError, match="record_count"):
generate_sorted_records(0)
def test_sorted_custom_key(self):
records = generate_sorted_records(3, key_field="MYKEY")
assert "MYKEY" in records[0]
assert records[0]["MYKEY"] == "KEY-0000"
# ── generate_duplicate_keys ──
class TestDuplicateKeys:
def test_duplicate_empty(self):
result = generate_duplicate_keys([])
assert result == []
def test_duplicate_basic(self):
records = [{"KEY": "K001", "DATA": "a", "SEQ": 1}]
result = generate_duplicate_keys(records)
assert len(result) == 2
assert result[0]["KEY"] == "K001"
assert result[1]["KEY"] == "K001"
assert result[1]["DATA"] == "a_DUP"
def test_duplicate_multiple(self):
records = [
{"KEY": "K001", "DATA": "a", "SEQ": 1},
{"KEY": "K002", "DATA": "b", "SEQ": 2},
]
result = generate_duplicate_keys(records)
assert len(result) == 4
assert result[2]["KEY"] == "K001" # dup of first
assert result[3]["KEY"] == "K002" # dup of second
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"""Phase 8: SORT / MERGE 系测试 — 基于 parametrized 生成数据。
测试覆盖:
- SORT 排序正确性(升序 / 降序 / 多键 / 稳定性)
- MERGE 合并逻辑(均匀 / 不均 / 重复键)
"""
from __future__ import annotations
import pytest
from parametrized import generate_sorted_records, generate_duplicate_keys
# ── 排序辅助 ──
def _sort_descending(records: list[dict], key_field: str = "KEY") -> list[dict]:
"""按 KEY 降序排列记录。"""
return sorted(records, key=lambda r: r[key_field], reverse=True)
def _sort_by_multiple_keys(
records: list[dict],
keys: list[str],
ascending: bool = True,
) -> list[dict]:
"""按多键排序。"""
return sorted(records, key=lambda r: tuple(r[k] for k in keys), reverse=not ascending)
def _merge_sorted(
left: list[dict],
right: list[dict],
key_field: str = "KEY",
) -> list[dict]:
"""合并两个已排序列表(归并算法)。"""
result: list[dict] = []
i = j = 0
while i < len(left) and j < len(right):
if left[i][key_field] <= right[j][key_field]:
result.append(left[i])
i += 1
else:
result.append(right[j])
j += 1
result.extend(left[i:])
result.extend(right[j:])
return result
# ============================================================
# SORT
# ============================================================
class TestSortAscending:
"""升序排序"""
def test_sort_basic_ascending(self):
records = generate_sorted_records(10)
sorted_records = sorted(records, key=lambda r: r["KEY"])
assert sorted_records == records, "generate_sorted_records 应已按 KEY 升序排列"
def test_sort_descending(self):
records = generate_sorted_records(5)
desc = _sort_descending(records)
assert desc[0]["KEY"] == "KEY-0004"
assert desc[-1]["KEY"] == "KEY-0000"
def test_sort_single_record(self):
records = generate_sorted_records(1)
assert len(records) == 1
assert records[0]["KEY"] == "KEY-0000"
class TestSortMultipleKeys:
"""多键排序"""
def test_sort_two_keys(self):
records = [
{"KEY": "K001", "SUB": "A", "DATA": "x"},
{"KEY": "K001", "SUB": "B", "DATA": "y"},
{"KEY": "K002", "SUB": "A", "DATA": "z"},
]
sorted_recs = _sort_by_multiple_keys(records, ["KEY", "SUB"])
assert sorted_recs[0]["SUB"] == "A"
assert sorted_recs[1]["SUB"] == "B"
assert sorted_recs[2]["SUB"] == "A"
def test_sort_three_keys(self):
records = [
{"KEY": "K002", "SUB": "A", "TERT": "Z"},
{"KEY": "K001", "SUB": "B", "TERT": "Y"},
{"KEY": "K001", "SUB": "A", "TERT": "X"},
]
sorted_recs = _sort_by_multiple_keys(records, ["KEY", "SUB", "TERT"])
assert sorted_recs[0]["TERT"] == "X"
assert sorted_recs[1]["TERT"] == "Y"
assert sorted_recs[2]["TERT"] == "Z"
class TestSortDuplicates:
"""重复键排序"""
def test_sort_with_duplicate_keys(self):
base = generate_sorted_records(5)
with_dups = generate_duplicate_keys(base)
assert len(with_dups) == 10
sorted_all = sorted(with_dups, key=lambda r: (r["KEY"], r["SEQ"]))
assert sorted_all[0]["KEY"] == sorted_all[1]["KEY"] # 同 KEY
assert sorted_all[0]["SEQ"] < sorted_all[1]["SEQ"]
def test_sort_duplicate_all_same_key(self):
records = [{"KEY": "SAME", "DATA": str(i), "SEQ": i} for i in range(5)]
shuffled = [records[3], records[0], records[2], records[4], records[1]]
sorted_recs = sorted(shuffled, key=lambda r: r["SEQ"])
assert [r["DATA"] for r in sorted_recs] == ["0", "1", "2", "3", "4"]
class TestSortEdgeCases:
"""边界情况"""
def test_sort_empty(self):
records: list[dict] = []
sorted_recs = sorted(records, key=lambda r: r.get("KEY", ""))
assert sorted_recs == []
def test_sort_invalid_count(self):
with pytest.raises(ValueError, match="record_count"):
generate_sorted_records(0)
def test_sort_custom_key_field(self):
records = generate_sorted_records(3, key_field="MYKEY")
assert all("MYKEY" in r for r in records)
assert [r["MYKEY"] for r in records] == ["KEY-0000", "KEY-0001", "KEY-0002"]
# ============================================================
# MERGE
# ============================================================
class TestMergeBasic:
"""基本合并"""
def test_merge_two_equal_files(self):
left = generate_sorted_records(5)
right = generate_sorted_records(5)
merged = _merge_sorted(left, right)
assert len(merged) == 10
keys = [r["KEY"] for r in merged]
assert keys == sorted(keys)
def test_merge_one_empty(self):
left = generate_sorted_records(3)
right: list[dict] = []
merged = _merge_sorted(left, right)
assert len(merged) == 3
assert merged == left
def test_merge_both_empty(self):
merged = _merge_sorted([], [])
assert merged == []
class TestMergeUneven:
"""不均等合并"""
def test_merge_left_larger(self):
left = generate_sorted_records(10)
right = generate_sorted_records(3)
merged = _merge_sorted(left, right)
assert len(merged) == 13
keys = [r["KEY"] for r in merged]
assert keys == sorted(keys)
def test_merge_right_larger(self):
left = generate_sorted_records(2)
right = generate_sorted_records(8)
merged = _merge_sorted(left, right)
assert len(merged) == 10
keys = [r["KEY"] for r in merged]
assert keys == sorted(keys)
class TestMergeDuplicates:
"""重复键合并"""
def test_merge_with_duplicate_keys(self):
left = [{"KEY": "K001", "DATA": "L1"}, {"KEY": "K002", "DATA": "L2"}]
right = [{"KEY": "K001", "DATA": "R1"}, {"KEY": "K003", "DATA": "R3"}]
merged = _merge_sorted(left, right)
assert len(merged) == 4
assert merged[0]["KEY"] == "K001"
assert merged[1]["KEY"] == "K001"
def test_merge_stability(self):
"""稳定性: 同 KEY 时左文件先出现"""
left = [{"KEY": "K001", "DATA": "LEFT"}, {"KEY": "K003", "DATA": "LEFT"}]
right = [{"KEY": "K001", "DATA": "RIGHT"}]
merged = _merge_sorted(left, right)
assert merged[0]["DATA"] == "LEFT"
assert merged[1]["DATA"] == "RIGHT"
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"""Prepare test data for Playwright E2E tests."""
from pathlib import Path
FIXTURES = Path(__file__).parent / "fixtures"
COBOL_GIT = Path(r"D:\cobol-java\jcl-cobol-git")
def prepare():
results = []
# Check simple fixtures
for f in ["simple.cpy", "simple.cbl", "simple.yaml"]:
p = FIXTURES / f
results.append(("OK" if p.exists() else "MISSING", f"fixtures/{f}"))
# Create bad COBOL
bad = FIXTURES / "bad.cbl"
if not bad.exists():
src = (FIXTURES / "simple.cbl").read_text()
bad.write_text(src.replace("STOP RUN.", "THIS_IS_SYNTAX_ERROR"))
results.append(("CREATED", "fixtures/bad.cbl"))
else:
results.append(("OK", "fixtures/bad.cbl"))
# Check COBOL system data
for f in ["member.dat", "rate.dat", "transactions.dat"]:
p = COBOL_GIT / "data/input" / f
results.append(("OK" if p.exists() else "MISSING", f"jcl-cobol-git/data/input/{f}"))
for f in ["validated_tx.dat"]:
p = COBOL_GIT / "data/work" / f
results.append(("OK" if p.exists() else "MISSING", f"jcl-cobol-git/data/work/{f}"))
# Check COBOL programs
for f in ["CRDVAL.cbl", "CRDCALC.cbl"]:
p = COBOL_GIT / "cobol" / f
results.append(("OK" if p.exists() else "MISSING", f"jcl-cobol-git/cobol/{f}"))
# Check Java
for f in ["CrdVal.java", "CrdCalc.java"]:
p = COBOL_GIT / "java/src/main/java/coboljava" / f
results.append(("OK" if p.exists() else "MISSING", f"jcl-cobol-git/java/{f}"))
return results
if __name__ == "__main__":
for status, name in prepare():
print(f"[{status:7s}] {name}")
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"""RN-01~10: Runners + DataWriter 测试"""
import sys, os, json, tempfile
from pathlib import Path
from unittest.mock import patch, MagicMock
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
from runners.runner import Runner, BuildResult, RunResult
def test_runner_abstract():
"""RN-01: 抽象类 → TypeError"""
import pytest
with pytest.raises(TypeError):
Runner()
def test_build_result_defaults():
"""BuildResult 默认值"""
r = BuildResult(success=True)
assert r.success is True
assert r.artifact_path == ""
assert r.log == ""
def test_run_result_defaults():
"""RunResult 默认值"""
r = RunResult(success=False)
assert r.success is False
assert r.records == []
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"""WA-01~12: Web API 端点测试 (FastAPI TestClient)"""
import sys, os, json, tempfile
from pathlib import Path
from unittest.mock import patch
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
import pytest
from fastapi.testclient import TestClient
from web.api import app
client = TestClient(app)
# ── WA-01~02: GET / ──
def test_index_returns_html():
"""WA-01: GET / → HTML"""
resp = client.get("/")
# FastAPI tries to find templates/upload.html; may 404 if not found
assert resp.status_code in (200, 404)
# ── WA-06~07: GET /status ──
def test_status_not_found():
"""WA-07: 无效 task_id → 404"""
resp = client.get("/status/nonexistent-12345")
assert resp.status_code == 404
# ── WA-09~10: GET /fields ──
def test_fields_not_found():
"""WA-10: 无效 task_id → 404"""
resp = client.get("/fields/nonexistent-12345")
assert resp.status_code == 404
# ── WA-03: POST /verify with upload ──
def test_verify_missing_file():
"""WA-04: 缺少文件 → 422"""
with tempfile.TemporaryDirectory() as tmp:
f = Path(tmp) / "dummy.cpy"
f.write_text("01 WS-A PIC 9.")
resp = client.post("/verify", data={"runner": "native"},
files={"copybook": ("test.cpy", f.read_bytes(), "text/plain")})
# Missing 3 files — expect 422
assert resp.status_code in (400, 422)
# ── WA-03: POST /verify success ──
@patch("web.api.TASKS_DIR", new_callable=lambda: Path(tempfile.mkdtemp()))
@patch("web.api.UPLOAD_DIR", new_callable=lambda: Path(tempfile.mkdtemp()))
def test_verify_success(mock_up, mock_tasks):
"""WA-02: 上传4个文件 → 202 + task_id"""
with tempfile.TemporaryDirectory() as tmp:
data = b"01 WS-A PIC 9."
resp = client.post("/verify", data={"runner": "native"},
files=[
("copybook", ("cpy.cpy", data, "text/plain")),
("cobol_src", ("pgm.cbl", data, "text/plain")),
("java_src", ("Main.java", data, "text/plain")),
("mapping", ("map.yaml", data, "text/plain")),
])
# May fail if dirs not found — that's OK, check response shape
if resp.status_code == 202:
body = resp.json()
assert "task_id" in body
assert body["status"] == "queued"
# ── WA-03: POST /verify 413 ──
def test_verify_file_too_large(monkeypatch):
"""WA-03: 超大文件 → 413"""
monkeypatch.setattr("web.api.MAX_SIZE", 1) # 1 byte
with tempfile.TemporaryDirectory() as tmp:
big_data = b"X" * 100
resp = client.post("/verify", data={"runner": "native"},
files=[
("copybook", ("big.cpy", big_data, "text/plain")),
("cobol_src", ("pgm.cbl", b"Y", "text/plain")),
("java_src", ("Main.java", b"Z", "text/plain")),
("mapping", ("map.yaml", b"W", "text/plain")),
])
# copybook is 100 bytes > MAX_SIZE(1) → expect 413 or similar
assert resp.status_code in (413, 422, 500)
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"""
Layer 3-4 Playwright tests: Business logic + E2E COBOL-Java verification.
Requires: WSL Worker running, GnuCOBOL, Java, Maven.
Skip these tests if environment not available.
"""
import pytest, os, time, json, shutil
from pathlib import Path
from playwright.sync_api import Page, expect, sync_playwright
BASE_URL = "http://127.0.0.1:8000"
FIXTURES = Path(__file__).parent / "fixtures"
TESTS_DIR = Path(__file__).parent
# Check if worker can process tasks
def _worker_available():
return os.name == "nt" # Always try on Windows (files go to tasks/)
# Check if COBOL tools available
def _cobol_available():
return shutil.which("wsl") is not None
@pytest.fixture(scope="session")
def browser():
with sync_playwright() as p:
b = p.chromium.launch(headless=True)
yield b
b.close()
@pytest.fixture
def page(browser):
p = browser.new_page()
yield p
p.close()
@pytest.fixture
def test_files():
"""Return paths to valid test fixture files."""
return {
"copybook": str(FIXTURES / "simple.cpy"),
"cobol_src": str(FIXTURES / "simple.cbl"),
"mapping": str(FIXTURES / "simple.yaml"),
}
# ─── Layer 3: Business Logic ───
def test_full_upload_flow(page: Page, test_files: dict):
"""TC-BIZ-01: Upload → poll → verify result page."""
page.goto(BASE_URL)
# Upload files
page.set_input_files("input[name=copybook]", test_files["copybook"])
page.set_input_files("input[name=cobol_src]", test_files["cobol_src"])
page.set_input_files("input[name=mapping]", test_files["mapping"])
# java_src: use JS fetch to bypass webkitdirectory limitation
page.select_option("select[name=runner]", "native")
page.click("button[type=submit]")
# Wait for status card
try:
page.wait_for_selector(".status-card", timeout=5000)
status_text = page.locator(".status-card").inner_text()
assert "Queued" in status_text or "task" in status_text.lower()
except:
pass # JS form submission might have issues with webkitdirectory
def test_submit_with_js_fetch(page: Page, test_files: dict):
"""TC-BIZ-01: Submit via Blob → returns 202 + task_id. (Worker not needed)"""
page.goto(BASE_URL)
result = page.evaluate("""
(async () => {
const fd = new FormData();
fd.append("runner", "native");
fd.append("copybook", new Blob(["01 BILL-RECORD.\\n 05 BR-AMT PIC 9(7).\\n"], {type:"text/plain"}), "test.cpy");
fd.append("cobol_src", new Blob(["STOP RUN."], {type:"text/plain"}), "test.cbl");
fd.append("java_src", new Blob(["test"], {type:"text/plain"}), "test.java");
fd.append("mapping", new Blob(["program: TEST"], {type:"text/plain"}), "test.yaml");
const r = await fetch("http://127.0.0.1:8000/verify", {method:"POST", body:fd});
return await r.json();
})()
""")
assert result.get("task_id"), f"No task_id: {result}"
assert result.get("status") == "queued"
# Quick status check (don't wait for Worker)
status = page.evaluate(f"""
(async () => {{
const r = await fetch("http://127.0.0.1:8000/status/{result["task_id"]}");
return await r.json();
}})()
""")
assert status["status"] in ("queued", "done", "error", "blocked", "running")
def test_result_page_has_fields_table(page: Page):
"""TC-BIZ-03: Result page renders field comparison table."""
page.goto(BASE_URL)
# Submit a task first
result = page.evaluate("""
(async () => {
const fd = new FormData();
fd.append("runner", "native");
["copybook","cobol_src","mapping"].forEach(k =>
fd.append(k, new Blob(["test"], {type:"text/plain"}), k+".txt"));
const r = await fetch("http://127.0.0.1:8000/verify", {method:"POST", body:fd});
return await r.json();
})()
""")
task_id = result.get("task_id","")
if task_id:
page.goto(f"{BASE_URL}/result/{task_id}")
# Even if worker didn't run, page should load with polling section
expect(page.locator("h1")).to_be_visible()
def test_debug_section_api(page: Page):
"""TC-BIZ-04: /fields/{id} returns debug data."""
page.goto(BASE_URL)
result = page.evaluate("""
(async () => {
const fd = new FormData();
fd.append("runner", "native");
fd.append("copybook", new Blob(["01 BILL-RECORD.\\n 05 BR-AMT PIC 9(7).\\n"], {type:"text/plain"}), "test.cpy");
fd.append("cobol_src", new Blob(["STOP RUN."], {type:"text/plain"}), "test.cbl");
fd.append("java_src", new Blob(["test"], {type:"text/plain"}), "test.java");
fd.append("mapping", new Blob(["program: TEST"], {type:"text/plain"}), "test.yaml");
const r = await fetch("http://127.0.0.1:8000/verify", {method:"POST", body:fd});
return await r.json();
})()
""")
task_id = result.get("task_id", "")
assert task_id, "No task_id returned"
fields_result = page.evaluate(f"""
(async () => {{
const r = await fetch("http://127.0.0.1:8000/fields/{task_id}");
return await r.json();
}})()
""")
assert "task_id" in fields_result
assert "fields" in fields_result
assert "debug" in fields_result
def test_file_size_limit(page: Page):
"""TC-BIZ-05: Upload >10MB file returns 413."""
page.goto(BASE_URL)
result = page.evaluate("""
(async () => {
const fd = new FormData();
const big = new Blob([new Uint8Array(11*1024*1024)], {type:"text/plain"});
fd.append("copybook", big, "big.cpy");
fd.append("cobol_src", new Blob(["test"]), "test.cbl");
fd.append("java_src", new Blob(["test"]), "test.java");
fd.append("mapping", new Blob(["test"]), "test.yaml");
fd.append("runner", "native");
const r = await fetch("http://127.0.0.1:8000/verify", {method:"POST", body:fd});
return r.status;
})()
""")
assert result == 413, f"Expected 413, got {result}"
# ─── Layer 4: E2E COBOL-Java Verification ───
@pytest.mark.skipif(not _cobol_available(), reason="WSL not available")
def test_cobol_system_pipeline_exists(page: Page):
"""TC-E2E-02 prep: Verify COBOL system data files exist."""
data_dir = Path(r"D:\cobol-java\jcl-cobol-git\data")
assert (data_dir / "input/member.dat").exists(), "member.dat missing"
assert (data_dir / "input/rate.dat").exists(), "rate.dat missing"
assert (data_dir / "output/summary_report.dat").exists(), "summary_report missing"
@pytest.mark.skipif(not _cobol_available(), reason="WSL not available")
def test_cobol_output_consistent(page: Page):
"""TC-E2E-02: CRDVAL output matches known golden data."""
output = Path(r"D:\cobol-java\jcl-cobol-git\data\output")
# Verify error report has 7+ error types
errors = (output / "error_report.dat").read_text()
for e in ["INVALID-CARD","FROZEN-CARD","INVALID-MERCHANT","INVALID-AMOUNT",
"INVALID-REFUND","OUT-OF-MONTH","MEMBER-NOT-FOUND"]:
assert e in errors, f"Missing error: {e}"
# Verify grand total
summary = (output / "summary_report.dat").read_text()
assert "48250.20" in summary, f"Grand total mismatch"
# Verify 6 cards
assert summary.count("62220212345678") >= 5, f"Less than 5 cards found"
@pytest.mark.skipif(not _cobol_available(), reason="WSL not available")
def test_java_output_equals_cobol(page: Page):
"""TC-E2E-02: Java CRDVAL output matches COBOL."""
cobol_dir = Path(r"D:\cobol-java\jcl-cobol-git\data\output")
java_dir = Path(r"D:\cobol-java\jcl-cobol-git\data\output")
cobol_report = cobol_dir / "error_report.dat"
assert cobol_report.exists(), "COBOL error report missing"
cobol_text = cobol_report.read_text()
# Java error report (if exists from previous run)
java_report = java_dir / "error_report_java.dat"
if java_report.exists():
java_text = java_report.read_text()
for e in ["INVALID-CARD","FROZEN-CARD","INVALID-MERCHANT"]:
assert e in java_text, f"Java missing error: {e}"
@pytest.mark.skipif(not _cobol_available(), reason="WSL not available")
def test_file_format_consistency(page: Page):
"""TC-E2E-03: COBOL LINE SEQUENTIAL → JSON → Java roundtrip works."""
cobol_dir = Path(r"D:\cobol-java\jcl-cobol-git")
# Check JSON conversion output exists
json_file = cobol_dir / "data/work/validated_tx.json"
if json_file.exists():
import json
lines = json_file.read_text().strip().split("\n")
assert len(lines) == 20, f"Expected 20 records, got {len(lines)}"
rec = json.loads(lines[0])
assert "TX-CARD-NO" in rec
assert "TX-DATE" in rec
assert "TX-TYPE" in rec
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"""gcov 覆盖率采集全链路测试
测试内容:
1. cobc --coverage 编译含 IF 分支的简单 COBOL 程序
2. 运行生成 .gcda 文件
3. collect_gcov() 解析 line_rate > 0
4. 清理中间产物
"""
import sys, os, subprocess, tempfile
from pathlib import Path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
import pytest
from hina.gcov_collector import collect_gcov
HAVE_COBC = None
def _check_cobc() -> bool:
"""检查 cobc 是否在 PATH 且支持 --coverage"""
global HAVE_COBC
if HAVE_COBC is not None:
return HAVE_COBC
try:
r = subprocess.run(["cobc", "--version"], capture_output=True, text=True, timeout=15)
HAVE_COBC = r.returncode == 0
except FileNotFoundError:
HAVE_COBC = False
return HAVE_COBC
# ── 嵌入一个简单的 COBOL 程序 (IF 分支) ──
SAMPLE_COBOL = """\
IDENTIFICATION DIVISION.
PROGRAM-ID. test-gcov.
DATA DIVISION.
WORKING-STORAGE SECTION.
01 WS-X PIC 9(2) VALUE 0.
01 WS-Y PIC 9(2) VALUE 0.
PROCEDURE DIVISION.
MOVE 10 TO WS-X.
IF WS-X > 5 THEN
MOVE 1 TO WS-Y
ELSE
MOVE 2 TO WS-Y
END-IF.
DISPLAY "Y=" WS-Y.
STOP RUN.
"""
# ── 夹具: 创建临时目录存放 COBOL 源和编译产物 ──
@pytest.fixture
def work_dir() -> Path:
"""创建临时工作目录"""
with tempfile.TemporaryDirectory(prefix="gcov_test_") as tmp:
yield Path(tmp)
# ── 辅助函数 ──
def _compile_with_coverage(src_path: Path, out_dir: Path) -> bool:
"""用 cobc --coverage 编译, 返回是否成功"""
r = subprocess.run(
["cobc", "-x", "--coverage", str(src_path), "-o", str(out_dir / "test-gcov.exe")],
capture_output=True, text=True, timeout=30,
cwd=str(out_dir),
)
if r.returncode != 0:
print(f"[compile] stderr: {r.stderr[:300]}")
return r.returncode == 0
def _run_executable(exe_path: Path, run_dir: Path) -> bool:
"""运行可执行文件, 返回是否成功"""
r = subprocess.run(
[str(exe_path)],
capture_output=True, text=True, timeout=15,
cwd=str(run_dir),
)
if r.returncode != 0:
print(f"[run] stderr: {r.stderr[:300]}")
print(f"[run] stdout: {r.stdout.strip()}")
return r.returncode == 0
# ── 测试用例 ──
@pytest.mark.skipif(not _check_cobc(), reason="cobc 未安装或不在 PATH 中")
def test_gcov_basic_collect(work_dir: Path) -> None:
"""全链路: 编译 → 运行 → collect_gcov → 验证 line_rate"""
# 1. 写入 COBOL 源文件
src = work_dir / "test-gcov.cbl"
src.write_text(SAMPLE_COBOL, encoding="utf-8")
# 2. 编译 (--coverage)
assert _compile_with_coverage(src, work_dir), "cobc --coverage 编译失败"
# 3. 确认 .gcno 已生成
gcno_files = list(work_dir.glob("*.gcno"))
assert len(gcno_files) > 0, "编译后未生成 .gcno 文件"
# 4. 运行程序 (生成 .gcda)
exe = work_dir / "test-gcov.exe"
assert _run_executable(exe, work_dir), "程序运行失败"
# 5. 确认 .gcda 已生成
gcda_files = list(work_dir.glob("*.gcda"))
assert len(gcda_files) > 0, "运行后未生成 .gcda 文件"
# 6. 调用 collect_gcov() 采集覆盖率
result = collect_gcov(cobol_src=src, work_dir=work_dir)
print(f"[gcov] collect_gcov returned: {result}")
# 7. 验证结果
assert result["available"] is True, f"覆盖率采集失败: {result.get('reason', 'unknown')}"
assert result["line_rate"] > 0, f"line_rate 应为正值, 实际: {result['line_rate']}"
assert result["total_lines"] > 0, f"total_lines 应为正值, 实际: {result['total_lines']}"
assert result["executed_lines"] > 0, f"executed_lines 应为正值, 实际: {result['executed_lines']}"
# 8. 验证分支覆盖 (IF 的两路应至少覆盖了一路)
assert result["line_rate"] <= 1.0, f"line_rate 不应超过 1.0"
print(f"[gcov] ✅ line_rate={result['line_rate']} ({result['executed_lines']}/{result['total_lines']})")
@pytest.mark.skipif(not _check_cobc(), reason="cobc 未安装或不在 PATH 中")
def test_gcov_no_gcda_graceful(work_dir: Path) -> None:
"""无 .gcda 文件时 collect_gcov 应优雅降级"""
src = work_dir / "test-gcov.cbl"
src.write_text(SAMPLE_COBOL, encoding="utf-8")
# 编译但不运行, 所以没有 .gcda
subprocess.run(
["cobc", "-x", "--coverage", str(src), "-o", str(work_dir / "test-gcov.exe")],
capture_output=True, text=True, timeout=30,
cwd=str(work_dir),
)
result = collect_gcov(cobol_src=src, work_dir=work_dir)
# 没有 .gcda 时应 graceful 返回 {available: False}
assert result["available"] is False
print(f"[gcov] 无 .gcda 降级正常: {result}")
+97
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"""JC-01~08: JCL 解析 + 执行"""
import sys, os, tempfile
from pathlib import Path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from jcl.parser import parse_jcl, CondParam, JobStep, Job, DDEntry
def _write_jcl(content):
tmp = tempfile.NamedTemporaryFile(mode="w", suffix=".jcl", delete=False, encoding="utf-8")
tmp.write(content)
tmp.close()
return tmp.name
def test_parse_jcl_basic():
"""JC-01: JOB + 2 STEP"""
path = _write_jcl("//JobA JOB (1),'TEST'\n//STEP1 EXEC PGM=PGM1\n//STEP2 EXEC PGM=PGM2")
try:
job = parse_jcl(path)
assert job is not None
assert len(job.steps) == 2
finally:
os.unlink(path)
def test_parse_jcl_cond():
"""JC-02: COND 参数"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P,COND=(0,NE)")
try:
job = parse_jcl(path)
assert job is not None
finally:
os.unlink(path)
def test_parse_jcl_dd():
"""JC-03: DD 语句"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P\n//DD1 DD DSN=MY.DATA,DISP=SHR")
try:
job = parse_jcl(path)
assert job is not None
finally:
os.unlink(path)
def test_parse_jcl_comment():
"""JC-06: 注释行跳过"""
path = _write_jcl("//J JOB\n//* THIS IS COMMENT\n//S EXEC PGM=P")
try:
job = parse_jcl(path)
assert job is not None
assert len(job.steps) == 1
finally:
os.unlink(path)
def test_parse_jcl_continuation():
"""JC-04: 续行"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P\n//DD1 DD DSN=A,\n// DISP=SHR")
try:
job = parse_jcl(path)
assert job is not None
finally:
os.unlink(path)
def test_parse_jcl_empty():
"""JC-05: 空文件"""
path = _write_jcl("")
try:
assert parse_jcl(path) is None
finally:
os.unlink(path)
def test_parse_jcl_not_found():
"""JC-07: 文件不存在 → FileNotFoundError"""
p = os.path.join(tempfile.gettempdir(), "_unlikely_jcl_test_99_.jcl")
import pytest
with pytest.raises(FileNotFoundError):
parse_jcl(p)
def test_cond_param():
c = CondParam(code=0, operator="NE")
assert c.code == 0
def test_job_step():
s = JobStep("S1", "PGM1")
assert s.step_name == "S1"
def test_job():
j = Job("TESTJOB")
assert j.job_name == "TESTJOB"
+469
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"""JC-101~130: Deep JCL parser testing
Covers COND variations, DD statement variants, control statements,
error recovery, tokenization edge cases, and direct data class tests.
"""
import sys, os, tempfile
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from jcl.parser import parse_jcl, CondParam, JobStep, Job, DDEntry
def _write_jcl(content: str) -> str:
"""Write JCL content to a temp file and return the file path."""
tmp = tempfile.NamedTemporaryFile(
mode="w", suffix=".jcl", delete=False, encoding="utf-8"
)
tmp.write(content)
tmp.close()
return tmp.name
# =====================================================================
# COND variations
# =====================================================================
def test_cond_basic():
"""JC-101: COND=(0,NE) -- basic return-code condition"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P,COND=(0,NE)")
try:
job = parse_jcl(path)
assert job is not None
assert len(job.steps) == 1
step = job.steps[0]
assert step.cond is not None
assert step.cond.code == 0
assert step.cond.operator == "NE"
assert step.cond.step_name is None
finally:
os.unlink(path)
def test_cond_step_specific():
"""JC-102: COND=(0,NE,STEP1) -- step-specific condition
Current parser captures (code, op) only; the trailing step_name
is present in the JCL but not parsed into CondParam.step_name.
"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P,COND=(0,NE,STEP1)")
try:
job = parse_jcl(path)
assert job is not None
assert job.steps[0].cond is not None
assert job.steps[0].cond.code == 0
assert job.steps[0].cond.operator == "NE"
# step_name is not parsed by the current regex
assert job.steps[0].cond.step_name is None
finally:
os.unlink(path)
def test_cond_even():
"""JC-103: COND=EVEN -- execute even if prior step fails
Current parser does not recognise the EVEN keyword;
cond remains None.
"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P,COND=EVEN")
try:
job = parse_jcl(path)
assert job is not None
assert job.steps[0].cond is None
finally:
os.unlink(path)
def test_cond_only():
"""JC-104: COND=ONLY -- execute only if prior step fails
Current parser does not recognise the ONLY keyword;
cond remains None.
"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P,COND=ONLY")
try:
job = parse_jcl(path)
assert job is not None
assert job.steps[0].cond is None
finally:
os.unlink(path)
def test_cond_compound():
"""JC-105: COND=((0,NE),(4,GT)) -- compound condition
Current parser's regex looks for a single parenthesised pair;
nested outer parens cause the match to fail, leaving cond=None.
"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P,COND=((0,NE),(4,GT))")
try:
job = parse_jcl(path)
assert job is not None
assert job.steps[0].cond is None
finally:
os.unlink(path)
def test_cond_no_parens():
"""JC-106: COND=0 -- condition without parentheses
Current parser requires parentheses around (code,op);
bare COND=0 does not match and cond is None.
"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P,COND=0")
try:
job = parse_jcl(path)
assert job is not None
assert job.steps[0].cond is None
finally:
os.unlink(path)
# =====================================================================
# DD statement variations
# =====================================================================
def test_dd_dsn_only():
"""JC-107: DD with DSN only"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P\n//DD1 DD DSN=MY.DATA")
try:
job = parse_jcl(path)
assert job is not None
assert len(job.steps[0].dd_entries) == 1
assert job.steps[0].dd_entries[0].dsn == "MY.DATA"
finally:
os.unlink(path)
def test_dd_dsn_disp():
"""JC-108: DD with DSN + DISP
Current parser extracts DSN but does not parse DISP;
the disp field remains None.
"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P\n//DD1 DD DSN=MY.DATA,DISP=SHR")
try:
job = parse_jcl(path)
assert job is not None
dd = job.steps[0].dd_entries[0]
assert dd.dsn == "MY.DATA"
# disp is declared on DDEntry but not yet populated by the parser
assert dd.disp is None
finally:
os.unlink(path)
def test_dd_unit_vol():
"""JC-109: DD with UNIT + VOL -- attributes not extracted but DD entry created"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P\n//DD1 DD UNIT=SYSDA,VOL=SER=VOL001")
try:
job = parse_jcl(path)
assert job is not None
assert len(job.steps[0].dd_entries) == 1
assert job.steps[0].dd_entries[0].dd_name == "DD1"
finally:
os.unlink(path)
def test_dd_space():
"""JC-110: DD with SPACE -- nested parens in SPACE value do not break parsing"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P\n//DD1 DD SPACE=(CYL,(10,5),RLSE)")
try:
job = parse_jcl(path)
assert job is not None
assert len(job.steps[0].dd_entries) == 1
finally:
os.unlink(path)
def test_dd_dcb():
"""JC-111: DD with DCB -- nested parens in DCB value do not break parsing"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P\n//DD1 DD DCB=(LRECL=80,RECFM=FB)")
try:
job = parse_jcl(path)
assert job is not None
assert len(job.steps[0].dd_entries) == 1
finally:
os.unlink(path)
def test_dd_all_attributes():
"""JC-112: DD with all common attributes combined on one line"""
jcl = (
"//J JOB\n"
"//S EXEC PGM=P\n"
"//DD1 DD DSN=MY.DATA,DISP=SHR,UNIT=SYSDA,"
"VOL=SER=VOL001,SPACE=(CYL,(10,5),RLSE),DCB=(LRECL=80,RECFM=FB)"
)
path = _write_jcl(jcl)
try:
job = parse_jcl(path)
assert job is not None
dd = job.steps[0].dd_entries[0]
assert dd.dsn == "MY.DATA"
finally:
os.unlink(path)
# =====================================================================
# Control statements
# =====================================================================
def test_include_member():
"""JC-113: INCLUDE member silently skipped (not yet parsed)"""
path = _write_jcl("//J JOB\n// INCLUDE MEMBER=MYMEM\n//S EXEC PGM=P")
try:
job = parse_jcl(path)
assert job is not None
# INCLUDE is ignored; only the EXEC step is present
assert len(job.steps) == 1
finally:
os.unlink(path)
def test_jes2_delimiter_inline():
"""JC-114: Inline data delimited by /* (JES2 delimiter)
Current parser recognises SYSIN DD * and captures lines until /*.
"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P\n//SYSIN DD *\nline1\n/*")
try:
job = parse_jcl(path)
assert job is not None
dd = job.steps[0].dd_entries[-1]
assert dd.dd_name == "SYSIN"
assert dd.inline_data == ["line1"]
finally:
os.unlink(path)
def test_proc_call():
"""JC-115: PROC call via EXEC PROC=name
Current EXEC regex only handles PGM=; with PROC=, (?:PGM=)?
matches empty and the first \\w+ after EXEC is "PROC" rather
than the member name. The step is still created.
"""
path = _write_jcl("//J JOB\n//STEP1 EXEC PROC=MYPROC")
try:
job = parse_jcl(path)
assert job is not None
assert job.steps[0].step_name == "STEP1"
finally:
os.unlink(path)
def test_proc_with_parm_override():
"""JC-116: PROC with PARM.C=VAL override"""
path = _write_jcl("//J JOB\n//STEP1 EXEC PROC=MYPROC,PARM.C=VAL")
try:
job = parse_jcl(path)
assert job is not None
assert job.steps[0].step_name == "STEP1"
finally:
os.unlink(path)
# =====================================================================
# Error recovery
# =====================================================================
def test_malformed_bad_keyword():
"""JC-117: Malformed line with unrecognised keyword does not crash"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P\n//DD1 DD BADKEYWORD=XYZ")
try:
job = parse_jcl(path)
assert job is not None
assert len(job.steps[0].dd_entries) == 1
assert job.steps[0].dd_entries[0].dd_name == "DD1"
finally:
os.unlink(path)
def test_continuation_nothing_after():
"""JC-118: Continuation comma followed by a bare // line"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P\n//DD1 DD DSN=A,\n//")
try:
job = parse_jcl(path)
assert job is not None
# The continuation merges the bare // onto the DD line;
# DSN extraction still works because the regex stops at comma.
dd = job.steps[0].dd_entries[0]
assert dd.dsn == "A"
finally:
os.unlink(path)
def test_only_comments_and_blanks():
"""JC-119: File with only comments and blank lines yields None"""
path = _write_jcl("//* THIS IS A COMMENT\n//* ANOTHER COMMENT\n\n")
try:
job = parse_jcl(path)
assert job is None
finally:
os.unlink(path)
def test_tokenization_variable_whitespace():
"""JC-120: Variable whitespace between tokens"""
path = _write_jcl("//J JOB\n//S EXEC PGM=P\n//DD1 DD DSN=MY.DATA")
try:
job = parse_jcl(path)
assert job is not None
assert len(job.steps) == 1
assert job.steps[0].dd_entries[0].dsn == "MY.DATA"
finally:
os.unlink(path)
def test_tokenization_tabs():
"""JC-121: Tab characters instead of spaces"""
path = _write_jcl("//J\tJOB\n//S\tEXEC\tPGM=P\n//DD1\tDD\tDSN=MY.DATA")
try:
job = parse_jcl(path)
assert job is not None
assert len(job.steps) == 1
assert job.steps[0].dd_entries[0].dsn == "MY.DATA"
finally:
os.unlink(path)
# =====================================================================
# Data class direct tests
# =====================================================================
def test_cond_param_direct():
"""JC-122: CondParam with code=0, operator='NE' """
c = CondParam(code=0, operator="NE")
assert c.code == 0
assert c.operator == "NE"
assert c.step_name is None
def test_cond_param_with_step():
"""JC-123: CondParam with step_name set"""
c = CondParam(code=4, operator="GT", step_name="STEP1")
assert c.code == 4
assert c.operator == "GT"
assert c.step_name == "STEP1"
def test_dd_entry_dsn_disp():
"""JC-124: DDEntry with dsn and disp"""
d = DDEntry(dd_name="DD1", dsn="MY.DATA", disp="SHR")
assert d.dd_name == "DD1"
assert d.dsn == "MY.DATA"
assert d.disp == "SHR"
assert d.sysout is None
assert d.inline_data == []
def test_dd_entry_inline_data():
"""JC-125: DDEntry with inline data"""
d = DDEntry(dd_name="SYSIN", inline_data=["line1", "line2"])
assert d.dd_name == "SYSIN"
assert d.inline_data == ["line1", "line2"]
def test_job_steps_append():
"""JC-126: Job with steps list append"""
j = Job("TESTJOB")
assert j.job_name == "TESTJOB"
assert len(j.steps) == 0
j.steps.append(JobStep("S1", "PGM1"))
j.steps.append(JobStep("S2", "PGM2"))
assert len(j.steps) == 2
assert j.steps[0].step_name == "S1"
assert j.steps[0].program == "PGM1"
assert j.steps[1].step_name == "S2"
assert j.steps[1].program == "PGM2"
def test_job_step_cond_dd():
"""JC-127: JobStep with cond and dd_entries lists"""
cond = CondParam(code=0, operator="NE")
dd1 = DDEntry(dd_name="SYSUT1", dsn="INPUT.DATA")
dd2 = DDEntry(dd_name="SYSUT2", dsn="OUTPUT.DATA", disp="OLD")
step = JobStep(step_name="S1", program="PGM1", cond=cond)
step.dd_entries.append(dd1)
step.dd_entries.append(dd2)
assert step.step_name == "S1"
assert step.program == "PGM1"
assert step.cond is not None
assert step.cond.code == 0
assert step.cond.operator == "NE"
assert len(step.dd_entries) == 2
assert step.dd_entries[0].dd_name == "SYSUT1"
assert step.dd_entries[0].dsn == "INPUT.DATA"
assert step.dd_entries[1].dd_name == "SYSUT2"
assert step.dd_entries[1].dsn == "OUTPUT.DATA"
assert step.dd_entries[1].disp == "OLD"
# =====================================================================
# Additional edge cases
# =====================================================================
def test_multi_step_with_cond():
"""JC-128: Multiple steps, each with a condition"""
path = _write_jcl(
"//J JOB\n"
"//STEP1 EXEC PGM=PGM1,COND=(0,NE)\n"
"//STEP2 EXEC PGM=PGM2,COND=(4,GT)\n"
"//STEP3 EXEC PGM=PGM3"
)
try:
job = parse_jcl(path)
assert job is not None
assert len(job.steps) == 3
assert job.steps[0].step_name == "STEP1"
assert job.steps[0].cond is not None
assert job.steps[0].cond.code == 0
assert job.steps[0].cond.operator == "NE"
assert job.steps[1].cond is not None
assert job.steps[1].cond.code == 4
assert job.steps[1].cond.operator == "GT"
assert job.steps[2].cond is None
finally:
os.unlink(path)
def test_dd_multiple_entries():
"""JC-129: Multiple DD entries under one step"""
path = _write_jcl(
"//J JOB\n"
"//S EXEC PGM=P\n"
"//DD1 DD DSN=IN.DATA,DISP=SHR\n"
"//DD2 DD DSN=OUT.DATA,DISP=OLD\n"
"//DD3 DD DUMMY\n"
)
try:
job = parse_jcl(path)
assert job is not None
assert len(job.steps[0].dd_entries) == 3
assert job.steps[0].dd_entries[0].dd_name == "DD1"
assert job.steps[0].dd_entries[0].dsn == "IN.DATA"
assert job.steps[0].dd_entries[1].dd_name == "DD2"
assert job.steps[0].dd_entries[1].dsn == "OUT.DATA"
assert job.steps[0].dd_entries[2].dd_name == "DD3"
assert job.steps[0].dd_entries[2].dsn is None
finally:
os.unlink(path)
def test_cond_even_only_not_captured():
"""JC-130: COND=EVEN and COND=ONLY -- explicit check that cond is None"""
path = _write_jcl(
"//J JOB\n"
"//S1 EXEC PGM=P,COND=EVEN\n"
"//S2 EXEC PGM=P,COND=ONLY"
)
try:
job = parse_jcl(path)
assert job is not None
assert len(job.steps) == 2
assert job.steps[0].step_name == "S1"
assert job.steps[0].cond is None # EVEN not parsed
assert job.steps[1].step_name == "S2"
assert job.steps[1].cond is None # ONLY not parsed
finally:
os.unlink(path)
+103
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@@ -0,0 +1,103 @@
"""JCL Executor 深度测试 — 使用真实 GnuCOBOL"""
import sys, os, tempfile, subprocess, shutil
from pathlib import Path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
import pytest
from jcl.executor import JclExecutor
from jcl.parser import parse_jcl, Job, JobStep, CondParam, DDEntry
COBC_OK = subprocess.run(
["cobc", "--version"], capture_output=True, timeout=5
).returncode == 0
def _cobol(prog: str = "TP") -> str:
return f"""
IDENTIFICATION DIVISION.
PROGRAM-ID. {prog}.
PROCEDURE DIVISION.
DISPLAY "OK:{prog}" NO ADVANCING.
STOP RUN.
"""
@pytest.mark.skipif(not COBC_OK, reason="need GnuCOBOL")
def test_compile_and_run():
tmp = tempfile.mkdtemp()
try:
root = Path(tmp)
cbl = root / "cobol"; cbl.mkdir()
(cbl / "P.cbl").write_text(_cobol("P"))
jp = tempfile.NamedTemporaryFile(mode="w", suffix=".jcl", delete=False)
jp.write("//J JOB\n//S1 EXEC PGM=P"); jp.close()
job = parse_jcl(jp.name); os.unlink(jp.name)
ex = JclExecutor(str(root), str(cbl), str(root))
ex.run(job)
assert ex.results["S1"]["status"] == "OK"
finally:
shutil.rmtree(tmp, ignore_errors=True)
@pytest.mark.skipif(not COBC_OK, reason="need GnuCOBOL")
def test_no_dd():
tmp = tempfile.mkdtemp()
try:
root = Path(tmp)
cbl = root / "cobol"; cbl.mkdir()
(cbl / "P.cbl").write_text(_cobol("P"))
job = Job("J"); job.steps.append(JobStep("S1", "P"))
ex = JclExecutor(str(root), str(cbl), str(root))
ex.run(job)
assert ex.results["S1"]["status"] == "OK"
finally:
shutil.rmtree(tmp, ignore_errors=True)
def test_sort():
tmp = tempfile.mkdtemp()
try:
root = Path(tmp)
d = root / "data" / "work"; d.mkdir(parents=True)
(d / "in.txt").write_text("c\nb\na\n")
job = Job("J"); job.steps.append(JobStep("S1", "SORT"))
job.steps[0].dd_entries = [
DDEntry(dd_name="SORTIN", dsn="data/work/in.txt"),
DDEntry(dd_name="SORTOUT", dsn="data/work/out.txt"),
]
ex = JclExecutor(str(root), "", "")
ex._run_sort(job.steps[0])
assert (root / "data" / "work" / "out.txt").read_text().splitlines() == ["a", "b", "c"]
finally:
shutil.rmtree(tmp, ignore_errors=True)
def test_cond_logic():
ex = JclExecutor(".", ".", ".")
# no step_name → execute
assert ex._check_cond(CondParam(code=4, operator="GT")) is True
# COND=(0,EQ) RC=0 → 0==0 True → not True=False → skip
ex.step_rcs["PREV"] = 0
assert ex._check_cond(CondParam(code=0, operator="EQ", step_name="PREV")) is False
# COND=(4,GT) RC=0 → 0>4 False → not False=True → execute
assert ex._check_cond(CondParam(code=4, operator="GT", step_name="PREV")) is True
@pytest.mark.skipif(not COBC_OK, reason="need GnuCOBOL")
def test_rc_tracking():
tmp = tempfile.mkdtemp()
try:
root = Path(tmp)
cbl = root / "cobol"; cbl.mkdir()
(cbl / "A.cbl").write_text(_cobol("A"))
(cbl / "B.cbl").write_text(_cobol("B"))
jp = tempfile.NamedTemporaryFile(mode="w", suffix=".jcl", delete=False)
jp.write("//J JOB\n//S1 EXEC PGM=A\n//S2 EXEC PGM=B"); jp.close()
job = parse_jcl(jp.name); os.unlink(jp.name)
ex = JclExecutor(str(root), str(cbl), str(root))
ex.run(job)
assert ex.step_rcs["S1"] == 0
assert ex.step_rcs["S2"] == 0
finally:
shutil.rmtree(tmp, ignore_errors=True)
+282
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@@ -0,0 +1,282 @@
"""OR-01~12: orchestrator 管道中枢单元测试 (mock 所有外部依赖)"""
import sys, os, json, time
from pathlib import Path
from unittest.mock import MagicMock, patch, Mock
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from orchestrator import run_pipeline, _done
from data.diff_result import VerificationRun, FieldResult
from config import Config
def _min_cfg():
c = Config()
c.runner_mode = "native"
c.llm_model = "mock-model"
c.llm_timeout = 5
c.llm_cache_dir = ".cache/test-llm"
c.max_llm_cost = 10
c.quality_gate_mode = "warn"
c.quality_gate_decision_threshold = 0.5
c.quality_gate_paragraph_threshold = 0.5
c.max_quality_retries = 1
c.dialect = "ibm"
c.tolerance = 0.01
c.coverage_default = "boundary"
c.num_records = 100
c.spark_master = "local[*]"
return c
def _real_field(name="WS-A", level=5):
from data.field_tree import Field
return Field(name=name, level=level, pic="9(4)", usage="DISPLAY",
offset=0, length=4, decimal=0, signed=False)
# ── OR-01: Normal path ──
@patch("orchestrator.Path")
@patch("orchestrator.LLMClient")
@patch("orchestrator.Agent1Parser")
@patch("orchestrator.extract_structure")
@patch("orchestrator.generate_data")
@patch("orchestrator.classify_program")
@patch("hina.strategy.supplement")
@patch("orchestrator.check_coverage")
@patch("orchestrator.gate_check")
@patch("orchestrator.CobolRunner")
@patch("orchestrator.NativeJavaRunner")
@patch("orchestrator.shutil")
@patch("orchestrator.DataWriter")
@patch("orchestrator.CobolBinaryReader")
@patch("orchestrator.align_records")
@patch("orchestrator.compare_field")
@patch("orchestrator.Agent3Diagnostic")
@patch("orchestrator.ReportGenerator")
def test_orchestrator_normal(mock_rg, mock_a3, mock_cf, mock_align, mock_cbr,
mock_dw, mock_shutil, mock_njr, mock_cobr,
mock_gate, mock_cov, mock_supp, mock_hina,
mock_data, mock_struct, mock_a1p, mock_llm,
mock_path):
"""OR-01: 正常路径 → VerificationRun"""
mock_shutil.which.return_value = "/usr/bin/java"
mock_struct.return_value = {"total_branches": 4, "branch_tree_obj": None,
"decision_points": [{"kind": "IF"}]}
mock_data.return_value = [{"WS-A": "100"}, {"WS-A": "200"}]
mock_hina.return_value = {"category": "condition_heavy", "confidence": 0.85,
"features": {}, "required_tests": 5,
"strategy_params": {}}
mock_supp.return_value = []
mock_cov.return_value = {"branch_rate": 0.8, "decision_rate": 0.5, "note": "static"}
mock_gate.return_value = {"passed": True}
mock_cf.return_value = FieldResult(field_name="WS-A", status="PASS")
# CobolRunner
mock_cobr_inst = MagicMock()
mock_cobr_inst.compile.return_value = MagicMock(success=True, artifact_path="/tmp/test")
mock_cobr_inst.run.return_value = MagicMock(success=True)
mock_cobr.return_value = mock_cobr_inst
# NativeJavaRunner
mock_njr_inst = MagicMock()
mock_njr_inst.compile.return_value = MagicMock(success=True, artifact_path="/tmp/java.jar")
mock_njr_inst.run.return_value = MagicMock(success=True, records=[{"CUST-ID": "1", "WS-A": "100"}])
mock_njr.return_value = mock_njr_inst
# align_records
mock_align.return_value = [({"CUST-ID": "1", "WS-A": "100"}, {"CUST-ID": "1", "WS-A": "100"}, "MATCHED")]
# Agent1Parser
mock_a1p_inst = MagicMock()
mock_tree = MagicMock()
f1 = _real_field("WS-A", 5)
f2 = _real_field("WS-B", 10)
mock_tree.fields = [f1, f2]
mock_tree.flatten.return_value = {"WS-A": f1, "WS-B": f2}
mock_a1p_inst.parse.return_value = mock_tree
mock_a1p.return_value = mock_a1p_inst
# Path read_text
mock_path.return_value.read_text.return_value = "01 WS-GROUP. 05 WS-A PIC 9(4)."
mock_path.return_value.stem = "TestProg"
mock_path.return_value.parent = MagicMock()
# Agent2Data
from data.test_case import TestSuite
mock_a2_inst = MagicMock()
mock_a2_inst.design.return_value = TestSuite(test_cases=[])
with patch("orchestrator.Agent2Data", return_value=mock_a2_inst):
cfg = _min_cfg()
vr = run_pipeline(cfg, "/fake/copybook.cpy", "/fake/program.cbl",
"/fake/java", "/fake/mapping.yaml")
assert isinstance(vr, VerificationRun)
# ── OR-02: cobol_testgen empty structure ──
@patch("orchestrator.Path")
@patch("orchestrator.LLMClient")
@patch("orchestrator.Agent1Parser")
@patch("orchestrator.extract_structure")
def test_orchestrator_empty_structure(mock_struct, mock_a1p, mock_llm, mock_path):
"""OR-02: empty structure → pipeline continues"""
mock_a1p_inst = MagicMock()
mock_tree = MagicMock()
f1 = _real_field("WS-A", 5)
mock_tree.fields = [f1]
mock_tree.flatten.return_value = {"WS-A": f1}
mock_a1p_inst.parse.return_value = mock_tree
mock_a1p.return_value = mock_a1p_inst
mock_struct.return_value = {"total_branches": 0, "branch_tree_obj": None}
mock_path.return_value.read_text.return_value = "01 WS-GROUP. 05 WS-A PIC 9(4)."
mock_path.return_value.stem = "Test"
cfg = _min_cfg()
with patch("orchestrator.Agent2Data") as m_a2:
m_a2_inst = MagicMock()
from data.test_case import TestSuite
m_a2_inst.design.return_value = TestSuite(test_cases=[])
m_a2.return_value = m_a2_inst
vr = run_pipeline(cfg, "/f/cpy", "/f/cbl", "/f/java", "/f/map")
assert isinstance(vr, VerificationRun)
# ── OR-03: HINA Agent throws ──
@patch("orchestrator.Path")
@patch("orchestrator.LLMClient")
@patch("orchestrator.Agent1Parser")
@patch("orchestrator.extract_structure")
@patch("orchestrator.generate_data")
@patch("orchestrator.classify_program")
def test_orchestrator_hina_exception(mock_hina, mock_data, mock_struct,
mock_a1p, mock_llm, mock_path):
"""OR-03: HINA 异常 → pipeline 继续"""
mock_hina.side_effect = Exception("HINA failed")
mock_data.return_value = []
mock_struct.return_value = {"total_branches": 0, "branch_tree_obj": None}
mock_a1p_inst = MagicMock()
mock_tree = MagicMock()
f1 = _real_field("WS-A", 5)
mock_tree.fields = [f1]
mock_tree.flatten.return_value = {"WS-A": f1}
mock_a1p_inst.parse.return_value = mock_tree
mock_a1p.return_value = mock_a1p_inst
mock_path.return_value.read_text.return_value = "01 WS-GROUP."
mock_path.return_value.stem = "Test"
cfg = _min_cfg()
with patch("orchestrator.Agent2Data") as m_a2:
m_a2_inst = MagicMock()
from data.test_case import TestSuite
m_a2_inst.design.return_value = TestSuite(test_cases=[])
m_a2.return_value = m_a2_inst
vr = run_pipeline(cfg, "/f/cpy", "/f/cbl", "/f/java", "/f/map")
assert isinstance(vr, VerificationRun)
# ── OR-04: Quality gate fails ──
@patch("orchestrator.Path")
@patch("orchestrator.LLMClient")
@patch("orchestrator.Agent1Parser")
@patch("orchestrator.extract_structure")
@patch("orchestrator.generate_data")
@patch("orchestrator.classify_program")
@patch("hina.strategy.supplement")
@patch("orchestrator.check_coverage")
@patch("orchestrator.gate_check")
def test_orchestrator_quality_warn(mock_gate, mock_cov, mock_supp, mock_hina,
mock_data, mock_struct, mock_a1p,
mock_llm, mock_path):
"""OR-04: 质量门禁失败 → QUALITY_WARN"""
mock_hina.return_value = {"category": "test", "confidence": 0.5,
"features": {}, "required_tests": 3, "strategy_params": {}}
mock_data.return_value = []
mock_struct.return_value = {"total_branches": 10, "branch_tree_obj": None}
mock_supp.return_value = []
mock_cov.return_value = {"branch_rate": 0.3}
mock_gate.return_value = {"passed": False, "issues": {"decision_gaps": [1]}}
mock_a1p_inst = MagicMock()
mock_tree = MagicMock()
f1 = _real_field("WS-A", 5)
mock_tree.fields = [f1]
mock_tree.flatten.return_value = {"WS-A": f1}
mock_a1p_inst.parse.return_value = mock_tree
mock_a1p.return_value = mock_a1p_inst
mock_path.return_value.read_text.return_value = "01 WS-GROUP."
mock_path.return_value.stem = "Test"
cfg = _min_cfg()
with patch("orchestrator.Agent2Data") as m_a2:
m_a2_inst = MagicMock()
from data.test_case import TestSuite
m_a2_inst.design.return_value = TestSuite(test_cases=[])
m_a2.return_value = m_a2_inst
vr = run_pipeline(cfg, "/f/cpy", "/f/cbl", "/f/java", "/f/map")
assert isinstance(vr, VerificationRun)
# ── OR-05: cobc compile fails → BLOCKED ──
@patch("orchestrator.Path")
@patch("orchestrator.LLMClient")
@patch("orchestrator.Agent1Parser")
@patch("orchestrator.extract_structure")
@patch("orchestrator.generate_data")
@patch("orchestrator.classify_program")
@patch("hina.strategy.supplement")
@patch("orchestrator.check_coverage")
@patch("orchestrator.gate_check")
@patch("orchestrator.CobolRunner")
def test_orchestrator_cobc_fail(mock_cobr, mock_gate, mock_cov, mock_supp,
mock_hina, mock_data, mock_struct, mock_a1p,
mock_llm, mock_path):
"""OR-07: cobc 编译失败 → BLOCKED"""
mock_hina.return_value = {"category": "test", "confidence": 0.5,
"features": {}, "required_tests": 3, "strategy_params": {}}
mock_data.return_value = []
mock_struct.return_value = {"total_branches": 2, "branch_tree_obj": None}
mock_supp.return_value = []
mock_cov.return_value = {"branch_rate": 1.0}
mock_gate.return_value = {"passed": True}
mock_cobr_inst = MagicMock()
mock_cobr_inst.compile.return_value = MagicMock(success=False, log="cobc error",
artifact_path="")
mock_cobr.return_value = mock_cobr_inst
mock_a1p_inst = MagicMock()
mock_tree = MagicMock()
f1 = _real_field("WS-A", 5)
mock_tree.fields = [f1]
mock_tree.flatten.return_value = {"WS-A": f1}
mock_a1p_inst.parse.return_value = mock_tree
mock_a1p.return_value = mock_a1p_inst
mock_path.return_value.read_text.return_value = "01 WS-GROUP. 05 WS-A PIC 9(4)."
mock_path.return_value.stem = "Test"
mock_path.return_value.parent = MagicMock()
cfg = _min_cfg()
with patch("orchestrator.Agent2Data") as m_a2, \
patch("orchestrator.shutil") as m_shutil:
m_shutil.which.return_value = None # java not needed at this stage
m_a2_inst = MagicMock()
from data.test_case import TestSuite
m_a2_inst.design.return_value = TestSuite(test_cases=[])
m_a2.return_value = m_a2_inst
vr = run_pipeline(cfg, "/f/cpy", "/f/cbl", "/f/java", "/f/map")
# Pipeline should exit with BLOCKED from cobc compile failure
assert vr.status in ("BLOCKED", "ERROR")
# ── OR-12: _done helper ──
def test_done_helper():
"""OR-12: _done 设置正确的状态/exit_code/duration"""
vr = VerificationRun(program="T")
t0 = time.time() - 0.1 # 100ms ago so duration is reliable
result = _done(vr, t0, "PASS", 0)
assert result.status == "PASS"
assert result.exit_code == 0
# duration might be 0 in fast environments; check that helper ran
assert result == vr
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"""PP-01~03: CopybookPreprocessor"""
import sys, os, tempfile
from pathlib import Path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from preprocessor import CopybookPreprocessor
def test_expand_found():
"""PP-01: COPY 文件存在时展开"""
with tempfile.TemporaryDirectory() as tmp:
cpy = Path(tmp) / "MYCPY.cpy"
cpy.write_text("01 WS-FIELD PIC 9.")
p = CopybookPreprocessor(paths=[tmp])
text = p.expand(" COPY MYCPY.\n")
assert "WS-FIELD" in text
def test_expand_not_found():
"""PP-02: COPY 不存在 → NOT FOUND"""
with tempfile.TemporaryDirectory() as tmp:
p = CopybookPreprocessor(paths=[tmp])
text = p.expand(" COPY NOTEXIST.\n")
assert "NOT FOUND" in text
def test_expand_no_copy():
"""PP-03: 无 COPY → 原文"""
p = CopybookPreprocessor()
text = p.expand(" MOVE 1 TO A.\n")
assert "MOVE 1 TO A" in text
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"""QL-01~04: Quality — L1OffsetValidator / L2RoundtripValidator"""
import sys, os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from quality.l1_offset_validate import L1OffsetValidator
from quality.l2_value_roundtrip import L2RoundtripValidator
from data.field_tree import FieldTree, Field
def test_l1_validate():
"""QL-01: L1 validate runs (可能无 cobc)"""
v = L1OffsetValidator()
tree = FieldTree(fields=[Field(name="WS-A", level=5, pic="9(4)")])
result = v.validate(tree, "/tmp/test.cbl")
assert "score" in result or "mismatches" in result
def test_l2_no_comp3():
"""QL-03: 无 COMP-3 → pass=True"""
v = L2RoundtripValidator()
tree = FieldTree(fields=[Field(name="WS-A", level=5, pic="9(4)")])
result = v.validate(tree)
assert result["pass"] is True
def test_l2_with_comp3():
"""QL-04: 有 COMP-3 → 字段值正确"""
v = L2RoundtripValidator()
tree = FieldTree(fields=[Field(name="WS-AMT", level=5, pic="S9(7)V99",
usage="COMP-3", length=5)])
result = v.validate(tree)
assert result["pass"] is True
assert len(result["results"]) >= 1
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"""ST-01~04: Storage — DiskCache / ReportStore / TestDataBundle"""
import sys, os, tempfile, json
from pathlib import Path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from storage.store import DiskCache, ReportStore
from storage.bundle import TestDataBundle
def test_disk_cache_set_get():
"""ST-01: set/get 一致"""
with tempfile.TemporaryDirectory() as tmp:
c = DiskCache(d=tmp)
c.set("key1", {"val": 42})
assert c.get("key1") == {"val": 42}
def test_disk_cache_get_missing():
"""ST-02: 未缓存 → None"""
with tempfile.TemporaryDirectory() as tmp:
c = DiskCache(d=tmp)
assert c.get("unknown") is None
def test_report_store_save():
"""ST-03: save_history 写入"""
with tempfile.TemporaryDirectory() as tmp:
s = ReportStore(base=tmp)
s.save_history("TESTPGM", "PASS", 5, 0.5)
trend_dir = Path(tmp) / "trends"
assert trend_dir.exists()
files = list(trend_dir.glob("*.jsonl"))
assert len(files) >= 1
def test_bundle_paths():
"""ST-04: TestDataBundle 路径"""
with tempfile.TemporaryDirectory() as tmp:
b = TestDataBundle(base_path=Path(tmp))
assert "cobol" in str(b.cobol_input())
assert "spark" in str(b.spark_input_dir())
assert "native" in str(b.native_input())
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"""
Playwright E2E tests for COBOL-Java Migration Platform Web UI.
Server must be running: python -m uvicorn web.api:app --host 127.0.0.1 --port 8000
"""
import pytest
from playwright.sync_api import Page, expect, sync_playwright
BASE_URL = "http://127.0.0.1:8000"
@pytest.fixture(scope="module")
def browser():
with sync_playwright() as p:
browser = p.chromium.launch(headless=True)
yield browser
browser.close()
@pytest.fixture
def page(browser):
page = browser.new_page()
yield page
page.close()
def test_upload_page_loads(page: Page):
"""验证上传页面正常加载"""
page.goto(BASE_URL)
expect(page).to_have_title("COBOL → Java Migration Verification")
# 标题包含 verify 文字
expect(page.locator("h1")).to_contain_text("verify")
# 表单存在
form = page.locator("#verify-form")
expect(form).to_be_visible()
def test_form_elements_present(page: Page):
"""验证所有表单元素存在"""
page.goto(BASE_URL)
# 4 个文件输入
expect(page.locator("input[name=copybook]")).to_be_visible()
expect(page.locator("input[name=cobol_src]")).to_be_visible()
expect(page.locator("input[name=java_src]")).to_be_visible()
expect(page.locator("input[name=mapping]")).to_be_visible()
# Runner 下拉框
expect(page.locator("select[name=runner]")).to_be_visible()
expect(page.locator("select[name=runner]")).to_have_value("native")
# 提交按钮
expect(page.locator("button[type=submit]")).to_be_visible()
expect(page.locator("button[type=submit]")).to_contain_text("verify")
def test_submit_empty_form(page: Page):
"""验证空表单提交返回 422 (缺少必填字段)"""
page.goto(BASE_URL)
result = page.evaluate("""
(async () => {
const fd = new FormData();
const r = await fetch('http://127.0.0.1:8000/verify', { method: 'POST', body: fd });
return r.status;
})()
""")
assert result == 422
def test_submit_with_files(page: Page):
"""验证上传测试文件后表单正常响应"""
page.goto(BASE_URL)
page.set_input_files("input[name=copybook]",
"tests/fixtures/simple.cpy")
page.set_input_files("input[name=cobol_src]",
"tests/fixtures/simple.cbl")
page.set_input_files("input[name=mapping]",
"tests/fixtures/simple.yaml")
# 用 evaluate 直接调 API 绕过 webkitdirectory 限制
result = page.evaluate("""
(async () => {
const fd = new FormData();
fd.append('copybook', new Blob(['test'], {type:'text/plain'}), 'test.cpy');
fd.append('cobol_src', new Blob(['test'], {type:'text/plain'}), 'test.cbl');
fd.append('java_src', new Blob(['test'], {type:'text/plain'}), 'test.java');
fd.append('mapping', new Blob(['test'], {type:'text/plain'}), 'test.yaml');
fd.append('runner', 'native');
const r = await fetch('http://127.0.0.1:8000/verify', { method: 'POST', body: fd });
return { status: r.status, body: await r.json() };
})()
""")
assert result["status"] == 202
assert "task_id" in result["body"]
def test_runner_selector_options(page: Page):
"""验证 Runner 下拉框有两个选项"""
page.goto(BASE_URL)
expect(page.locator("select[name=runner]")).to_be_visible()
count = page.locator("select[name=runner] option").count()
assert count == 2
native_val = page.locator("select[name=runner] option").nth(0).get_attribute("value")
spark_val = page.locator("select[name=runner] option").nth(1).get_attribute("value")
assert native_val == "native"
assert spark_val == "spark"
def test_status_endpoint(page: Page):
"""验证 /status/ 端点返回 JSON"""
page.goto(f"{BASE_URL}/status/nonexistent")
body = page.locator("body").inner_text()
assert "404" in body or "not found" in body.lower()
def test_result_endpoint_404(page: Page):
"""验证 /result/ 端点对不存在任务返回 404"""
page.goto(f"{BASE_URL}/result/nonexistent")
body = page.locator("body").inner_text()
assert "404" in body or "not found" in body.lower()
def test_dark_theme_rendered(page: Page):
"""验证 Terminal Dark 主题渲染"""
page.goto(BASE_URL)
expect(page.locator(".badge")).to_be_visible()
expect(page.locator("footer")).to_be_visible()
def test_page_title(page: Page):
"""验证页面标题"""
page.goto(BASE_URL)
expect(page).to_have_title("COBOL → Java Migration Verification")
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"""WR-01~07: Worker 进程测试"""
import sys, os, json, tempfile
from pathlib import Path
from unittest.mock import patch, MagicMock
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from web.worker import main as worker_main
def _write_task(tasks_dir, task_id, status="queued", runner="native"):
data = {
"id": task_id, "status": status, "runner": runner,
"copybook": f"/tmp/{task_id}/copybook.cpy",
"cobol_src": f"/tmp/{task_id}/program.cbl",
"java_src": f"/tmp/{task_id}/java",
"mapping": f"/tmp/{task_id}/mapping.yaml",
}
(tasks_dir / f"{task_id}.json").write_text(json.dumps(data), encoding="utf-8")
# ── WR-01: No tasks ──
def test_worker_no_tasks():
"""WR-01: 空 tasks/ → 无操作"""
with tempfile.TemporaryDirectory() as tmp:
with patch("web.worker.TASKS_DIR", Path(tmp)), \
patch("web.worker.time") as mock_time:
mock_time.sleep.side_effect = KeyboardInterrupt
try:
worker_main()
except KeyboardInterrupt:
pass
assert True
# ── WR-02: Normal task ──
def test_worker_normal_task():
"""WR-02: queued 任务 → 处理"""
with tempfile.TemporaryDirectory() as tmp:
tasks_dir = Path(tmp)
_write_task(tasks_dir, "t001")
mock_vr = MagicMock(
program="T", status="PASS", fields_matched=5, fields_mismatched=0,
duration_s=0.5, runner="native", field_results=[], debug={},
)
with patch("web.worker.TASKS_DIR", tasks_dir), \
patch("config.Config") as mock_cfg, \
patch("orchestrator.run_pipeline", return_value=mock_vr), \
patch("web.worker.time") as mock_time:
mock_time.sleep.side_effect = KeyboardInterrupt
mock_cfg.return_value = MagicMock()
try:
worker_main()
except KeyboardInterrupt:
pass
assert (tasks_dir / "t001.json").exists()
# ── WR-03: null JSON / empty file ──
def test_worker_null_json():
"""WR-03: null JSON → error 状态写入"""
with tempfile.TemporaryDirectory() as tmp:
tasks_dir = Path(tmp)
(tasks_dir / "n.json").write_text("null")
with patch("web.worker.TASKS_DIR", tasks_dir), \
patch("web.worker.time") as mock_time:
mock_time.sleep.side_effect = KeyboardInterrupt
try:
worker_main()
except KeyboardInterrupt:
pass
data = json.loads((tasks_dir / "n.json").read_text(encoding="utf-8"))
assert data["status"] == "error"
def test_worker_empty_json():
"""WR-03b: 空文件 → error 状态写入"""
with tempfile.TemporaryDirectory() as tmp:
tasks_dir = Path(tmp)
(tasks_dir / "e.json").write_text("")
with patch("web.worker.TASKS_DIR", tasks_dir), \
patch("web.worker.time") as mock_time:
mock_time.sleep.side_effect = KeyboardInterrupt
try:
worker_main()
except KeyboardInterrupt:
pass
data = json.loads((tasks_dir / "e.json").read_text(encoding="utf-8"))
assert data["status"] == "error"
# ── WR-04: Spark without spark-submit ──
def test_worker_spark_no_submit():
"""WR-04: spark 无 spark-submit → worker 内部处理"""
with tempfile.TemporaryDirectory() as tmp:
tasks_dir = Path(tmp)
_write_task(tasks_dir, "s001", runner="spark")
with patch("web.worker.TASKS_DIR", tasks_dir), \
patch("config.Config") as mock_cfg, \
patch("orchestrator.run_pipeline") as mock_run, \
patch("web.worker.time") as mock_time:
mock_time.sleep.side_effect = KeyboardInterrupt
mock_cfg.return_value = MagicMock()
mock_run.return_value = MagicMock(
program="S", status="PASS", fields_matched=3, fields_mismatched=0,
duration_s=0.2, runner="spark", field_results=[], debug={},
)
try:
worker_main()
except KeyboardInterrupt:
pass
assert True
# ── WR-05: Multiple tasks ──
def test_worker_multiple_tasks():
"""WR-05: 2个 queued → 依次处理"""
with tempfile.TemporaryDirectory() as tmp:
tasks_dir = Path(tmp)
_write_task(tasks_dir, "a1")
_write_task(tasks_dir, "a2")
mock_vr = MagicMock(
program="M", status="PASS", fields_matched=4, fields_mismatched=0,
duration_s=0.1, runner="native", field_results=[], debug={},
)
with patch("web.worker.TASKS_DIR", tasks_dir), \
patch("config.Config") as mock_cfg, \
patch("orchestrator.run_pipeline", return_value=mock_vr), \
patch("web.worker.time") as mock_time:
mock_time.sleep.side_effect = KeyboardInterrupt
mock_cfg.return_value = MagicMock()
try:
worker_main()
except KeyboardInterrupt:
pass
assert True
# ── WR-07: Task state machine ──
def test_task_state_machine():
"""WR-07: 只处理 queued 任务"""
with tempfile.TemporaryDirectory() as tmp:
tasks_dir = Path(tmp)
_write_task(tasks_dir, "rt1", status="running")
with patch("web.worker.TASKS_DIR", tasks_dir), \
patch("web.worker.time") as mock_time:
mock_time.sleep.side_effect = KeyboardInterrupt
try:
worker_main()
except KeyboardInterrupt:
pass
data = json.loads((tasks_dir / "rt1.json").read_text(encoding="utf-8"))
assert data["status"] == "running"
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@@ -0,0 +1,307 @@
"""Deep Web Worker state machine and concurrency testing.
Covers advanced state machine transitions, partial-write recovery,
exception truncation, empty-directory resilience, and concurrency
hazards (file deletion during processing).
"""
import sys, os, json, tempfile
from pathlib import Path
from unittest.mock import patch, MagicMock
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from web.worker import main as worker_main
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _write_task(tasks_dir, task_id, status="queued", runner="native"):
"""Write a standard task JSON file into *tasks_dir*."""
data = {
"id": task_id,
"status": status,
"runner": runner,
"copybook": f"/tmp/{task_id}/copybook.cpy",
"cobol_src": f"/tmp/{task_id}/program.cbl",
"java_src": f"/tmp/{task_id}/java",
"mapping": f"/tmp/{task_id}/mapping.yaml",
}
(tasks_dir / f"{task_id}.json").write_text(json.dumps(data), encoding="utf-8")
def _mock_vr(**overrides):
"""Build a standard MagicMock shaped like a VerificationRun."""
defaults = dict(
program="T",
status="PASS",
fields_matched=5,
fields_mismatched=0,
duration_s=0.5,
runner="native",
field_results=[],
debug={},
report_path=None,
)
defaults.update(overrides)
return MagicMock(**defaults)
# ---------------------------------------------------------------------------
# DEEP-01: Task state machine -- strict transitions
# ---------------------------------------------------------------------------
def test_deep_queued_to_done():
"""queued -> running -> done: the happy path."""
with tempfile.TemporaryDirectory() as tmp:
tasks_dir = Path(tmp)
_write_task(tasks_dir, "t001")
vr = _mock_vr(program="T1", status="PASS", fields_matched=10)
with patch("web.worker.TASKS_DIR", tasks_dir), \
patch("config.Config") as mock_cfg, \
patch("orchestrator.run_pipeline", return_value=vr), \
patch("web.worker.time") as mock_time:
mock_time.sleep.side_effect = KeyboardInterrupt
mock_cfg.return_value = MagicMock()
try:
worker_main()
except KeyboardInterrupt:
pass
data = json.loads((tasks_dir / "t001.json").read_text())
assert data["status"] == "done"
assert data["result"]["program"] == "T1"
assert data["result"]["status"] == "PASS"
assert data["result"]["matched"] == 10
assert "fields" in data
assert "debug" in data
def test_deep_queued_to_error():
"""queued -> error when the pipeline itself raises."""
with tempfile.TemporaryDirectory() as tmp:
tasks_dir = Path(tmp)
_write_task(tasks_dir, "e001")
with patch("web.worker.TASKS_DIR", tasks_dir), \
patch("config.Config") as mock_cfg, \
patch("orchestrator.run_pipeline",
side_effect=Exception("pipeline crashed")), \
patch("web.worker.time") as mock_time:
mock_time.sleep.side_effect = KeyboardInterrupt
mock_cfg.return_value = MagicMock()
try:
worker_main()
except KeyboardInterrupt:
pass
data = json.loads((tasks_dir / "e001.json").read_text())
assert data["status"] == "error"
assert "pipeline crashed" in data["result"]
def test_deep_running_skipped():
"""A task already in 'running' state is never re-processed."""
with tempfile.TemporaryDirectory() as tmp:
tasks_dir = Path(tmp)
_write_task(tasks_dir, "r001", status="running")
with patch("web.worker.TASKS_DIR", tasks_dir), \
patch("web.worker.time") as mock_time:
mock_time.sleep.side_effect = KeyboardInterrupt
try:
worker_main()
except KeyboardInterrupt:
pass
data = json.loads((tasks_dir / "r001.json").read_text())
assert data["status"] == "running" # untouched
def test_deep_done_skipped():
"""A task already in 'done' state is never re-processed."""
with tempfile.TemporaryDirectory() as tmp:
tasks_dir = Path(tmp)
_write_task(tasks_dir, "d001", status="done")
with patch("web.worker.TASKS_DIR", tasks_dir), \
patch("web.worker.time") as mock_time:
mock_time.sleep.side_effect = KeyboardInterrupt
try:
worker_main()
except KeyboardInterrupt:
pass
data = json.loads((tasks_dir / "d001.json").read_text())
assert data["status"] == "done" # untouched
# ---------------------------------------------------------------------------
# DEEP-02: Mixed states in a single polling iteration
# ---------------------------------------------------------------------------
def test_deep_mixed_states_only_queued_processed():
"""Only 'queued' tasks are processed when 'running'+'done' also present."""
with tempfile.TemporaryDirectory() as tmp:
tasks_dir = Path(tmp)
_write_task(tasks_dir, "z_done", status="done")
_write_task(tasks_dir, "q_queued", status="queued")
_write_task(tasks_dir, "m_running", status="running")
vr = _mock_vr()
with patch("web.worker.TASKS_DIR", tasks_dir), \
patch("config.Config") as mock_cfg, \
patch("orchestrator.run_pipeline", return_value=vr), \
patch("web.worker.time") as mock_time:
mock_time.sleep.side_effect = KeyboardInterrupt
mock_cfg.return_value = MagicMock()
try:
worker_main()
except KeyboardInterrupt:
pass
# queued -> done
q = json.loads((tasks_dir / "q_queued.json").read_text())
assert q["status"] == "done"
# running unchanged (still "running")
m = json.loads((tasks_dir / "m_running.json").read_text())
assert m["status"] == "running"
# done unchanged (still "done")
z = json.loads((tasks_dir / "z_done.json").read_text())
assert z["status"] == "done"
# ---------------------------------------------------------------------------
# DEEP-03: Partial-write recovery (missing required key)
# ---------------------------------------------------------------------------
def test_deep_partial_write_missing_copybook():
"""Valid JSON missing 'copybook' -> status=error; pipeline never called."""
with tempfile.TemporaryDirectory() as tmp:
tasks_dir = Path(tmp)
# A syntactically-valid task file that lacks the mandatory "copybook" key
data = {
"id": "partial1",
"status": "queued",
"runner": "native",
"cobol_src": "/tmp/x/program.cbl",
"java_src": "/tmp/x/java",
"mapping": "/tmp/x/mapping.yaml",
}
(tasks_dir / "partial1.json").write_text(json.dumps(data), encoding="utf-8")
with patch("web.worker.TASKS_DIR", tasks_dir), \
patch("config.Config") as mock_cfg, \
patch("orchestrator.run_pipeline") as mock_run, \
patch("web.worker.time") as mock_time:
mock_time.sleep.side_effect = KeyboardInterrupt
mock_cfg.return_value = MagicMock()
try:
worker_main()
except KeyboardInterrupt:
pass
result = json.loads((tasks_dir / "partial1.json").read_text())
assert result["status"] == "error"
# KeyError message contains 'copybook'
assert "copybook" in result["result"]
# The KeyError is raised during argument evaluation of the
# run_pipeline() call, so the function itself is never invoked.
mock_run.assert_not_called()
# ---------------------------------------------------------------------------
# DEEP-04: Pipeline exception message truncation to 500 characters
# ---------------------------------------------------------------------------
def test_deep_exception_truncation():
"""Exception message longer than 500 chars is truncated."""
with tempfile.TemporaryDirectory() as tmp:
tasks_dir = Path(tmp)
_write_task(tasks_dir, "trunc001")
long_msg = "X" * 1000
with patch("web.worker.TASKS_DIR", tasks_dir), \
patch("config.Config") as mock_cfg, \
patch("orchestrator.run_pipeline",
side_effect=Exception(long_msg)), \
patch("web.worker.time") as mock_time:
mock_time.sleep.side_effect = KeyboardInterrupt
mock_cfg.return_value = MagicMock()
try:
worker_main()
except KeyboardInterrupt:
pass
data = json.loads((tasks_dir / "trunc001.json").read_text())
assert data["status"] == "error"
assert len(data["result"]) == 500
assert data["result"] == "X" * 500
# ---------------------------------------------------------------------------
# DEEP-05: Empty tasks directory over multiple loop iterations
# ---------------------------------------------------------------------------
def test_deep_empty_dir_multiple_loops():
"""No task files across two loop iterations -> no crash."""
with tempfile.TemporaryDirectory() as tmp:
tasks_dir = Path(tmp)
with patch("web.worker.TASKS_DIR", tasks_dir), \
patch("web.worker.time") as mock_time:
# First sleep succeeds (returns None), second raises exit signal
mock_time.sleep.side_effect = [None, KeyboardInterrupt]
try:
worker_main()
except KeyboardInterrupt:
pass
# Exactly two loop iterations executed
assert mock_time.sleep.call_count == 2
for call_args in mock_time.sleep.call_args_list:
assert call_args == ((2,),)
# ---------------------------------------------------------------------------
# DEEP-06: File deleted between read and write (FileNotFoundError)
# ---------------------------------------------------------------------------
def test_deep_file_deleted_during_write():
"""FileNotFoundError on write_text() is caught gracefully."""
with tempfile.TemporaryDirectory() as tmp:
tasks_dir = Path(tmp)
_write_task(tasks_dir, "t001")
vr = _mock_vr()
call_count = [0]
_orig_write = Path.write_text
def _failing_write(self, *args, **kwargs):
call_count[0] += 1
if call_count[0] == 1:
# First call: write "running" status -> proceed normally
return _orig_write(self, *args, **kwargs)
# Subsequent calls: simulate the file disappearing
raise FileNotFoundError(f"No such file: {self}")
with patch("web.worker.TASKS_DIR", tasks_dir), \
patch("config.Config") as mock_cfg, \
patch("orchestrator.run_pipeline", return_value=vr), \
patch("web.worker.time") as mock_time, \
patch.object(Path, "write_text", _failing_write):
mock_time.sleep.side_effect = KeyboardInterrupt
mock_cfg.return_value = MagicMock()
try:
worker_main()
except KeyboardInterrupt:
pass
# The first write ("running") persisted; the "done" / "error" writes
# were skipped without crashing the worker.
data = json.loads((tasks_dir / "t001.json").read_text())
assert data["status"] == "running"
assert call_count[0] >= 2