v3: gstack-code-gen 生成
This commit is contained in:
hangshuo652
+11
@@ -0,0 +1,11 @@
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__pycache__/
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*.pyc
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*.egg-info/
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dist/
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build/
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.cache/
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reports/
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test-data-bundle/
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*.exec
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target/
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.DS_Store
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@@ -0,0 +1,34 @@
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import json
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from data.field_tree import FieldTree, Field
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from agents.llm import LLMClient
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P1 = "You are a COBOL COPYBOOK parser. Output JSON: {\"fields\":[{\"name\":\"...\",\"level\":N,\"pic\":\"...\",\"usage\":\"DISPLAY|COMP-3|COMP\",\"offset\":N,\"length\":N,\"decimal\":N,\"signed\":bool,\"occurs\":N|null,\"redefines\":\"...\"|null,\"conditions\":[{\"name\":\"...\",\"value\":\"...\"}],\"children\":[...]}]} Return JSON only."
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class Agent1Parser:
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def __init__(self, llm: LLMClient):
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self.llm = llm
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def parse(self, text: str) -> FieldTree:
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r = self.llm.call([{"role": "system", "content": P1}, {"role": "user", "content": text}])
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try:
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return self._load(json.loads(r))
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except:
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return FieldTree(copybook_name="parse_error")
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def _load(self, d):
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return FieldTree(fields=self._fields(d.get("fields", []), 0))
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def _fields(self, raw, off):
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result = []
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cur = off
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for rf in raw:
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f = Field(name=rf.get("name", ""), level=rf.get("level", 0), pic=rf.get("pic", ""),
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usage=rf.get("usage", "DISPLAY"), offset=cur, length=rf.get("length", 0),
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decimal=rf.get("decimal", 0), signed=rf.get("signed", False),
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occurs=rf.get("occurs"), redefines=rf.get("redefines"),
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conditions=rf.get("conditions", []))
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f.children = self._fields(rf.get("children", []), cur)
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cur += f.length
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result.append(f)
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return result
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@@ -0,0 +1,24 @@
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import json
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from data.field_tree import FieldTree
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from data.test_case import TestCase, TestSuite, SparkConfig
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from agents.llm import LLMClient
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P2 = "You are a COBOL test data designer. Given a FieldTree, generate boundary test cases. Output: {\"test_cases\":[{\"id\":\"TC-001\",\"fields\":{\"FIELD\":value},\"coverage_targets\":[\"DP-001\"]}]} JSON only."
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class Agent2Data:
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def __init__(self, llm: LLMClient):
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self.llm = llm
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def design(self, tree: FieldTree, target="boundary", spark_mode=False) -> TestSuite:
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tree_d = {"fields": [{"name": f.name, "pic": f.pic, "usage": f.usage, "length": f.length,
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"decimal": f.decimal, "signed": f.signed} for f in tree.flatten().values()]}
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r = self.llm.call([{"role": "system", "content": P2}, {"role": "user", "content": json.dumps(tree_d)}])
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try:
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tcs = [TestCase(**tc) for tc in json.loads(r).get("test_cases", [])]
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except:
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tcs = [TestCase(id="TC-FALLBACK", fields={"BR-AMT": 0})]
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s = TestSuite(test_cases=tcs)
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if spark_mode:
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s.spark_config = SparkConfig(num_records=1000)
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return s
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@@ -0,0 +1,13 @@
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from agents.llm import LLMClient
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from data.diff_result import FieldResult
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P3 = "You are a COBOL-Java diff analyzer. Given a field mismatch, explain why. Output: {\"issue_type\":\"...\",\"confidence\":0.5,\"reason\":\"...\",\"suggestion\":\"...\"} You NEVER decide PASS/FAIL. JSON only."
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class Agent3Diagnostic:
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def __init__(self, llm: LLMClient):
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self.llm = llm
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def analyze(self, fr: FieldResult) -> str:
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p = f"Field: {fr.field_name}\nCOBOL: {fr.cobol_value}\nJava: {fr.java_value}\nStatus: {fr.status}"
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return self.llm.call([{"role": "system", "content": P3}, {"role": "user", "content": p}])
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@@ -0,0 +1,41 @@
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import json, hashlib, os
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from pathlib import Path
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import httpx
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class LLMClient:
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def __init__(self, model="gpt-4o-mini", timeout=15, cache_dir=".cache/llm"):
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self.model = model
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self.timeout = timeout
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self.dir = Path(cache_dir)
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self.dir.mkdir(parents=True, exist_ok=True)
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def _key(self, msgs):
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return hashlib.sha256(json.dumps(msgs, sort_keys=True).encode()).hexdigest()
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def _get(self, k):
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p = self.dir / f"{k}.json"
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return json.loads(p.read_text())["response"] if p.exists() else None
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def _set(self, k, v):
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(self.dir / f"{k}.json").write_text(json.dumps({"response": v}))
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def call(self, messages, retries=1):
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k = self._key(messages)
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c = self._get(k)
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if c:
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return c
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key = os.environ.get("LLM_API_KEY", os.environ.get("OPENAI_API_KEY", ""))
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base = os.environ.get("LLM_API_BASE", "https://api.openai.com/v1")
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for a in range(retries + 1):
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try:
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r = httpx.post(f"{base}/chat/completions", json={"model": self.model, "messages": messages},
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headers={"Authorization": f"Bearer {key}"}, timeout=self.timeout)
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r.raise_for_status()
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v = r.json()["choices"][0]["message"]["content"]
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self._set(k, v)
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return v
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except Exception:
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if a == retries:
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raise
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return ""
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+24
@@ -0,0 +1,24 @@
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[project]
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name = "example"
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copybook_paths = ["./copybooks", "/usr/share/copybooks"]
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dialect = "ibm"
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[llm]
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model = "gpt-4o-mini"
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timeout = 15
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cache_dir = ".cache/llm"
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[coverage]
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default_target = "boundary"
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[comparison]
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rounding_mode = "TRUNCATE"
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default_tolerance = 0.01
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[runner]
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mode = "native"
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[spark]
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master = "local[*]"
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input_format = "json"
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num_records = 1000
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@@ -0,0 +1,30 @@
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def align_records(cobol_records: list[dict], java_records: list[dict],
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key_field: str = "CUST-ID") -> list[tuple]:
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if not cobol_records and not java_records:
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return []
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def _by(records, kf):
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d = {}
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for r in records:
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key = str(r.get(kf, "__NONE__"))
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d.setdefault(key, []).append(r)
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return d
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c_by = _by(cobol_records, key_field)
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j_by = _by(java_records, key_field)
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pairs = []
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all_keys = set(c_by) | set(j_by)
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for k in sorted(all_keys):
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c_items = c_by.get(k, [])
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j_items = j_by.get(k, [])
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for i in range(max(len(c_items), len(j_items))):
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c = c_items[i] if i < len(c_items) else None
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j = j_items[i] if i < len(j_items) else None
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if c and j:
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pairs.append((c, j, "MATCHED"))
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elif c:
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pairs.append((c, None, "MISSING_IN_SPARK"))
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else:
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pairs.append((None, j, "EXTRA_IN_SPARK"))
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return pairs
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@@ -0,0 +1,43 @@
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import struct
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from pathlib import Path
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from data.field_tree import FieldTree
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class CobolBinaryReader:
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def read(self, path: str, tree: FieldTree) -> list[dict]:
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d = Path(path).read_bytes()
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rs = self._record_size(tree)
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if rs == 0 or len(d) == 0:
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return []
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return [self._parse(d[o:o + rs], tree) for o in range(0, len(d), rs) if len(d[o:o + rs]) >= rs]
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def _record_size(self, tree):
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return max((f.offset + f.length for f in tree.fields), default=0)
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def _parse(self, r, tree):
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out = {}
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for n, f in tree.flatten().items():
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if f.length == 0 or f.offset + f.length > len(r):
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continue
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raw = r[f.offset:f.offset + f.length]
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if f.usage == "COMP-3":
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out[n] = self._comp3(raw, f.signed, f.decimal)
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elif f.usage in ("COMP", "COMP-5"):
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out[n] = int.from_bytes(raw, "big", signed=f.signed)
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else:
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out[n] = raw.decode("ascii", errors="replace").strip()
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return out
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def _comp3(self, raw, signed, dec):
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if not raw:
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return "0"
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nib = []
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for b in raw:
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nib.append((b >> 4) & 0xF)
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nib.append(b & 0xF)
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s = nib.pop()
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v = sum(n * (10 ** (len(nib) - i)) for i, n in zip(range(len(nib)), nib))
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if signed and s in (0xD, 0xB):
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v = -v
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d = 10 ** dec
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return f"{float(v) / d:.{dec}f}" if dec else str(v)
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@@ -0,0 +1,64 @@
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from data.diff_result import FieldResult
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from decimal import Decimal, InvalidOperation
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DEFAULT_TOLERANCE = 0.01
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def compare_field(name: str, c: str, j: str, field_type: str = "decimal",
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tolerance: float = DEFAULT_TOLERANCE) -> FieldResult:
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fr = FieldResult(field_name=name, cobol_value=c, java_value=j)
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if field_type in ("decimal", "numeric"):
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return _numeric(fr, c, j, tolerance)
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if field_type == "date":
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return _date(fr, c, j)
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if field_type == "string":
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return _string(fr, c, j)
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fr.status = "PASS" if c == j else "MISMATCH"
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return fr
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def _numeric(fr, c, j, tol):
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cv = _num(c)
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jv = _num(j)
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if cv is None or jv is None:
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fr.status = "NOT_SET" if cv is None and jv is None else (
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"MISMATCH" if jv is None else "NOT_SET")
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return fr
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if cv == jv:
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fr.status = "PASS"
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return fr
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diff = abs(float(cv - jv))
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if diff <= tol:
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fr.status = "TOLERATED"
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fr.tolerance_applied = tol
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else:
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fr.status = "MISMATCH"
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return fr
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def _date(fr, c, j):
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def _norm(v):
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v = v.strip()
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if len(v) == 8 and v.isdigit():
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return f"{v[:4]}-{v[4:6]}-{v[6:8]}"
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return v
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fr.status = "PASS" if _norm(c) == _norm(j) else "MISMATCH"
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return fr
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def _string(fr, c, j):
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fr.status = "PASS" if (c or "").strip() == (j or "").strip() else "MISMATCH"
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return fr
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def _num(v):
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if v is None or v == "None":
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return None
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s = str(v).replace("\x00", "").strip()
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if s == "":
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return Decimal("0")
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try:
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return Decimal(s)
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except InvalidOperation:
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return None
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@@ -0,0 +1,72 @@
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from dataclasses import dataclass
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EBCDIC_037 = {
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0x40: ' ', 0x4B: '.', 0x4C: '<', 0x4D: '(', 0x4E: '+', 0x5A: '!', 0x5B: '$',
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0x5C: '*', 0x5D: ')', 0x5E: ';', 0x60: '-', 0x61: '/', 0x6B: ',', 0x6C: '%',
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0x6D: '_', 0x6E: '>', 0x6F: '?', 0x7A: ':', 0x7B: '#', 0x7C: '@', 0x7D: "'",
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0x7E: '=', 0x7F: '"',
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0x81: 'a', 0x82: 'b', 0x83: 'c', 0x84: 'd', 0x85: 'e', 0x86: 'f', 0x87: 'g',
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0x88: 'h', 0x89: 'i', 0x91: 'j', 0x92: 'k', 0x93: 'l', 0x94: 'm', 0x95: 'n',
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0x96: 'o', 0x97: 'p', 0x98: 'q', 0x99: 'r', 0xA2: 's', 0xA3: 't', 0xA4: 'u',
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0xA5: 'v', 0xA6: 'w', 0xA7: 'x', 0xA8: 'y', 0xA9: 'z',
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0xC1: 'A', 0xC2: 'B', 0xC3: 'C', 0xC4: 'D', 0xC5: 'E', 0xC6: 'F', 0xC7: 'G',
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0xC8: 'H', 0xC9: 'I', 0xD1: 'J', 0xD2: 'K', 0xD3: 'L', 0xD4: 'M', 0xD5: 'N',
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0xD6: 'O', 0xD7: 'P', 0xD8: 'Q', 0xD9: 'R', 0xE2: 'S', 0xE3: 'T', 0xE4: 'U',
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0xE5: 'V', 0xE6: 'W', 0xE7: 'X', 0xE8: 'Y', 0xE9: 'Z',
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0xF0: '0', 0xF1: '1', 0xF2: '2', 0xF3: '3', 0xF4: '4', 0xF5: '5',
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0xF6: '6', 0xF7: '7', 0xF8: '8', 0xF9: '9',
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}
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@dataclass
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class CobolIRField:
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raw_hex: str; decoded_value: str; encoding: str
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field_type: str; length: int; scale: int; signed: bool
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@dataclass
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class JavaIRField:
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raw_value: str; decoded_value: str; field_type: str; nullable: bool
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@dataclass
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class IRRecord:
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field_name: str
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cobol: CobolIRField | None = None
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java: JavaIRField | None = None
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class Normalizer:
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def normalize_encoding(self, raw: bytes, encoding: str) -> str:
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if encoding == "EBCDIC":
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return "".join(EBCDIC_037.get(b, chr(b) if 32 <= b < 127 else "?") for b in raw)
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return raw.decode("ascii", errors="replace")
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def normalize_comp3(self, raw: bytes) -> str:
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if not raw:
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return "0"
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nibbles = []
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for b in raw:
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nibbles.append((b >> 4) & 0x0F)
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nibbles.append(b & 0x0F)
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sign = nibbles.pop()
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v = 0
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for n in nibbles:
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v = v * 10 + (n if n <= 9 else 0)
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if sign in (0x0D, 0x0B):
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v = -v
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return str(v)
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def normalize_date(self, s: str) -> str:
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s = s.strip()
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if len(s) == 8 and s.isdigit():
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return f"{s[:4]}-{s[4:6]}-{s[6:8]}"
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||||
return s
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||||
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||||
def to_ir_record(self, name, hex_, val, enc, ft, length=0, scale=0, signed=False):
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return IRRecord(name, CobolIRField(hex_, val, enc, ft, length, scale, signed))
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||||
|
||||
def to_null_ir(self, name, side="java"):
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||||
if side == "java":
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||||
return IRRecord(name, java=JavaIRField("", "", "null", True))
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||||
return IRRecord(name, java=JavaIRField("", "", "null", True))
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@@ -0,0 +1,31 @@
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from dataclasses import dataclass
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from decimal import Decimal, InvalidOperation
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||||
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||||
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||||
@dataclass
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||||
class RoundingResult:
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mode: str = "EXACT"; confidence: float = 1.0; suggestion: str = ""
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def detect_rounding(c: str, j: str) -> RoundingResult:
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cv = _d(c)
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jv = _d(j)
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if cv is None or jv is None:
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return RoundingResult(mode="UNKNOWN", confidence=0, suggestion="parse error")
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if cv == jv:
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return RoundingResult()
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diff = abs(float(cv - jv))
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mag = max(abs(float(cv)), abs(float(jv)), 1)
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rel = diff / mag
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if diff < 2:
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return RoundingResult("TRUNCATE", 0.6, f"Likely TRUNCATE, diff={diff}")
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if diff < 100:
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return RoundingResult("ROUNDING", 0.4, f"Possible rounding, diff={diff}")
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return RoundingResult("SIGNIFICANT", 0.9, f"Significant diff={diff}")
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def _d(v):
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try:
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return Decimal(str(v).strip())
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||||
except:
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return None
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||||
@@ -0,0 +1,48 @@
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||||
from dataclasses import dataclass, field
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
@dataclass
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||||
class Config:
|
||||
project_name: str = ""
|
||||
copybook_paths: list = field(default_factory=lambda: ["./copybooks"])
|
||||
dialect: str = "ibm"
|
||||
llm_model: str = "gpt-4o-mini"
|
||||
llm_timeout: int = 15
|
||||
llm_cache_dir: str = ".cache/llm"
|
||||
coverage_default: str = "boundary"
|
||||
rounding_mode: str = "TRUNCATE"
|
||||
tolerance: float = 0.01
|
||||
runner_mode: str = "native"
|
||||
spark_master: str = "local[*]"
|
||||
spark_input_format: str = "json"
|
||||
num_records: int = 1000
|
||||
branch_pass: float = 0.80
|
||||
max_llm_cost: float = 0.50
|
||||
|
||||
@classmethod
|
||||
def from_toml(cls, path="aurak.toml"):
|
||||
import tomllib
|
||||
try:
|
||||
with open(path, "rb") as f:
|
||||
d = tomllib.load(f)
|
||||
except:
|
||||
return cls()
|
||||
c = cls()
|
||||
p = d.get("project", {})
|
||||
c.project_name = p.get("name", "")
|
||||
c.copybook_paths = p.get("copybook_paths", c.copybook_paths)
|
||||
c.dialect = p.get("dialect", "ibm")
|
||||
ll = d.get("llm", {})
|
||||
c.llm_model = ll.get("model", c.llm_model)
|
||||
co = d.get("coverage", {})
|
||||
c.coverage_default = co.get("default_target", "boundary")
|
||||
cp = d.get("comparison", {})
|
||||
c.rounding_mode = cp.get("rounding_mode", "TRUNCATE")
|
||||
c.tolerance = cp.get("default_tolerance", c.tolerance)
|
||||
r = d.get("runner", {})
|
||||
c.runner_mode = r.get("mode", "native")
|
||||
s = d.get("spark", {})
|
||||
c.spark_master = s.get("master", "local[*]")
|
||||
c.num_records = s.get("num_records", c.num_records)
|
||||
return c
|
||||
@@ -0,0 +1,43 @@
|
||||
import yaml
|
||||
from dataclasses import dataclass, field
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
@dataclass
|
||||
class FieldMapping:
|
||||
cobol_field: str
|
||||
java_field: str
|
||||
field_type: str = "string"
|
||||
precision: int = 0
|
||||
trim: bool = False
|
||||
format: str = ""
|
||||
init_strategy: str = "auto"
|
||||
|
||||
|
||||
@dataclass
|
||||
class MappingConfig:
|
||||
program: str = ""
|
||||
dialect: str = "ibm"
|
||||
field_mappings: list[FieldMapping] = field(default_factory=list)
|
||||
redefines_strategy: dict = field(default_factory=dict)
|
||||
|
||||
@classmethod
|
||||
def from_yaml(cls, path: str) -> "MappingConfig":
|
||||
data = yaml.safe_load(Path(path).read_text())
|
||||
c = cls()
|
||||
c.program = data.get("program", "")
|
||||
c.dialect = data.get("dialect", "ibm")
|
||||
for fm in data.get("field_mapping", []):
|
||||
c.field_mappings.append(FieldMapping(**fm))
|
||||
c.redefines_strategy = data.get("redefines_strategy", {})
|
||||
return c
|
||||
|
||||
def get_java_field(self, cobol_name: str) -> str:
|
||||
for m in self.field_mappings:
|
||||
if m.cobol_field == cobol_name:
|
||||
return m.java_field
|
||||
return cobol_name
|
||||
|
||||
|
||||
_m = FieldMapping(cobol_field="BR-AMT", java_field="billAmount", field_type="decimal", precision=2)
|
||||
assert _m.cobol_field == "BR-AMT"
|
||||
@@ -0,0 +1,3 @@
|
||||
from .field_tree import Field, FieldTree
|
||||
from .test_case import TestCase, TestSuite, SparkConfig
|
||||
from .diff_result import FieldResult, VerificationRun
|
||||
@@ -0,0 +1,51 @@
|
||||
from __future__ import annotations
|
||||
from dataclasses import dataclass, field
|
||||
from datetime import datetime
|
||||
from typing import Optional
|
||||
|
||||
|
||||
@dataclass
|
||||
class FieldResult:
|
||||
field_name: str = ""
|
||||
status: str = "PASS"
|
||||
cobol_value: str = ""
|
||||
java_value: str = ""
|
||||
tolerance_applied: float = 0.0
|
||||
rounding_detected: str = ""
|
||||
suggestion: str = ""
|
||||
|
||||
|
||||
@dataclass
|
||||
class VerificationRun:
|
||||
program: str = ""
|
||||
timestamp: str = ""
|
||||
status: str = "PASS"
|
||||
exit_code: int = 0
|
||||
duration_s: float = 0.0
|
||||
fields_matched: int = 0
|
||||
fields_mismatched: int = 0
|
||||
coverage_target: str = "boundary"
|
||||
field_results: list[FieldResult] = field(default_factory=list)
|
||||
runner: str = "native"
|
||||
branch_rate: float = 0.0
|
||||
llm_cost: float = 0.0
|
||||
report_path: str = ""
|
||||
|
||||
def __post_init__(self):
|
||||
if not self.timestamp:
|
||||
self.timestamp = datetime.now().strftime("%Y%m%d-%H%M%S")
|
||||
|
||||
@property
|
||||
def total_fields(self) -> int:
|
||||
return self.fields_matched + self.fields_mismatched
|
||||
|
||||
def verdict(self) -> str:
|
||||
return self.status
|
||||
|
||||
|
||||
_fr = FieldResult(field_name="BR-AMT", status="MISMATCH")
|
||||
assert _fr.status == "MISMATCH"
|
||||
|
||||
_vr = VerificationRun(program="BILL-CALC", runner="spark")
|
||||
assert _vr.program == "BILL-CALC"
|
||||
assert _vr.timestamp != ""
|
||||
@@ -0,0 +1,55 @@
|
||||
from __future__ import annotations
|
||||
from dataclasses import dataclass, field
|
||||
from typing import Optional
|
||||
|
||||
|
||||
@dataclass
|
||||
class Field:
|
||||
name: str
|
||||
level: int
|
||||
pic: str
|
||||
usage: str = "DISPLAY"
|
||||
offset: int = 0
|
||||
length: int = 0
|
||||
decimal: int = 0
|
||||
signed: bool = False
|
||||
sign_separate: bool = False
|
||||
occurs: Optional[int] = None
|
||||
occurs_max: Optional[int] = None
|
||||
redefines: Optional[str] = None
|
||||
redefines_variant: Optional[str] = None
|
||||
conditions: list[dict] = field(default_factory=list)
|
||||
children: list["Field"] = field(default_factory=list)
|
||||
|
||||
|
||||
@dataclass
|
||||
class FieldTree:
|
||||
fields: list[Field] = field(default_factory=list)
|
||||
copybook_name: str = ""
|
||||
sha256: str = ""
|
||||
|
||||
def flatten(self) -> dict[str, Field]:
|
||||
result = {}
|
||||
def _walk(ff):
|
||||
for f in ff:
|
||||
result[f.name] = f
|
||||
_walk(f.children)
|
||||
_walk(self.fields)
|
||||
return result
|
||||
|
||||
def get_by_name(self, name: str) -> Optional[Field]:
|
||||
return self.flatten().get(name)
|
||||
|
||||
@classmethod
|
||||
def from_list(cls, fields: list[Field], name: str = "") -> "FieldTree":
|
||||
return cls(fields=fields, copybook_name=name)
|
||||
|
||||
|
||||
_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.decimal == 2
|
||||
assert _f.signed
|
||||
|
||||
_ft = FieldTree(fields=[_f], copybook_name="BILLCPY")
|
||||
assert "BR-AMT" in _ft.flatten()
|
||||
assert _ft.get_by_name("BR-AMT") is _f
|
||||
@@ -0,0 +1,37 @@
|
||||
from __future__ import annotations
|
||||
from dataclasses import dataclass, field
|
||||
from typing import Optional
|
||||
|
||||
|
||||
@dataclass
|
||||
class SparkConfig:
|
||||
num_records: int = 100
|
||||
replication: str = "key_varied"
|
||||
key_field: str = ""
|
||||
edge_cases: list[str] = field(default_factory=list)
|
||||
|
||||
|
||||
@dataclass
|
||||
class TestCase:
|
||||
id: str
|
||||
fields: dict = field(default_factory=dict)
|
||||
coverage_targets: list[str] = field(default_factory=list)
|
||||
|
||||
|
||||
@dataclass
|
||||
class TestSuite:
|
||||
schema: Optional[dict] = None
|
||||
test_cases: list[TestCase] = field(default_factory=list)
|
||||
spark_config: Optional[SparkConfig] = None
|
||||
|
||||
@property
|
||||
def has_spark(self) -> bool:
|
||||
return self.spark_config is not None
|
||||
|
||||
|
||||
_tc = TestCase(id="TC-001", fields={"BR-AMT": 1500000})
|
||||
assert _tc.id == "TC-001"
|
||||
assert _tc.fields["BR-AMT"] == 1500000
|
||||
|
||||
_ts = TestSuite(test_cases=[_tc], spark_config=SparkConfig(num_records=1000))
|
||||
assert _ts.spark_config.num_records == 1000
|
||||
@@ -0,0 +1,45 @@
|
||||
import argparse, sys
|
||||
from config import Config
|
||||
from orchestrator import run_pipeline
|
||||
|
||||
|
||||
def main():
|
||||
p = argparse.ArgumentParser(description="COBOL->Java/Spark Migration Verification")
|
||||
p.add_argument("--copybook", required=True)
|
||||
p.add_argument("--cobol-src", required=True)
|
||||
p.add_argument("--java-src", required=True)
|
||||
p.add_argument("--mapping", required=True)
|
||||
p.add_argument("--runner", choices=["native", "spark"], default="native")
|
||||
p.add_argument("--coverage", choices=["boundary", "branch"], default="boundary")
|
||||
p.add_argument("--tolerance", type=float, default=0.01)
|
||||
p.add_argument("--verbose", action="store_true")
|
||||
p.add_argument("--dry-run", action="store_true")
|
||||
p.add_argument("--output-dir", default="./reports")
|
||||
args = p.parse_args()
|
||||
|
||||
if args.dry_run:
|
||||
from pathlib import Path
|
||||
issues = []
|
||||
for lb, pt in [("copybook", args.copybook), ("cobol-src", args.cobol_src), ("mapping", args.mapping)]:
|
||||
if not Path(pt).exists():
|
||||
issues.append(f" {lb}: {pt} (not found)")
|
||||
if not Path(f"{args.java_src}/pom.xml").exists():
|
||||
issues.append(f" java-src: {args.java_src}/pom.xml (not found)")
|
||||
if issues:
|
||||
print("DRY-RUN issues:\n" + "\n".join(issues))
|
||||
sys.exit(2)
|
||||
print("DRY-RUN: all inputs OK")
|
||||
sys.exit(0)
|
||||
|
||||
c = Config()
|
||||
c.runner_mode = args.runner
|
||||
c.coverage_default = args.coverage
|
||||
c.tolerance = args.tolerance
|
||||
vr = run_pipeline(c, args.copybook, args.cobol_src, args.java_src, args.mapping)
|
||||
t = vr.fields_matched + vr.fields_mismatched
|
||||
print(f"{vr.program}: {vr.status} ({vr.fields_matched}/{t}, {vr.duration_s:.0f}s)" if t else f"{vr.program}: {vr.status}")
|
||||
sys.exit(vr.exit_code)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
+119
@@ -0,0 +1,119 @@
|
||||
import shutil, time
|
||||
from pathlib import Path
|
||||
from data.field_tree import FieldTree
|
||||
from data.test_case import TestSuite, SparkConfig
|
||||
from data.diff_result import VerificationRun, FieldResult
|
||||
from runners.runner import Runner
|
||||
from runners.native_java_runner import NativeJavaRunner
|
||||
from runners.spark_java_runner import SparkJavaRunner
|
||||
from runners.cobol_runner import CobolRunner
|
||||
from runners.data_writer import DataWriter
|
||||
from agents.agent1_parser import Agent1Parser
|
||||
from agents.agent2_data import Agent2Data
|
||||
from agents.llm import LLMClient
|
||||
from comparator.aligner import align_records
|
||||
from comparator.field_compare import compare_field
|
||||
from comparator.cobol_binary_reader import CobolBinaryReader
|
||||
from report.generator import ReportGenerator
|
||||
from storage.bundle import TestDataBundle
|
||||
from config import Config
|
||||
|
||||
|
||||
def run_pipeline(cfg: Config, cpath: str, cbl: str, java: str, map_path: str) -> VerificationRun:
|
||||
t0 = time.time()
|
||||
vr = VerificationRun(program=Path(java).stem, runner=cfg.runner_mode)
|
||||
|
||||
try:
|
||||
text = Path(cpath).read_text()
|
||||
if not text.strip():
|
||||
return _done(vr, t0, "BLOCKED", 2)
|
||||
|
||||
llm = LLMClient(model=cfg.llm_model, timeout=cfg.llm_timeout, cache_dir=cfg.llm_cache_dir)
|
||||
tree = Agent1Parser(llm).parse(text)
|
||||
vr.llm_cost += 0.002
|
||||
if not tree.fields:
|
||||
return _done(vr, t0, "BLOCKED", 2)
|
||||
if vr.llm_cost > cfg.max_llm_cost:
|
||||
return _done(vr, t0, "BLOCKED", 3)
|
||||
|
||||
suite = Agent2Data(llm).design(tree, cfg.coverage_default, cfg.runner_mode == "spark")
|
||||
vr.llm_cost += 0.002
|
||||
|
||||
bundle = TestDataBundle(base_path=Path("test-data-bundle"))
|
||||
bundle.ensure_dirs()
|
||||
dw = DataWriter()
|
||||
dw.write_cobol_binary(suite.test_cases, bundle.cobol_input())
|
||||
if cfg.runner_mode == "spark":
|
||||
sc = suite.spark_config or SparkConfig(num_records=cfg.num_records)
|
||||
dw.write_spark_json(suite.test_cases, sc, bundle.spark_input_dir())
|
||||
else:
|
||||
dw.write_native_json(suite.test_cases, bundle.native_input())
|
||||
|
||||
cob = CobolRunner()
|
||||
build = cob.compile(cbl, cfg.dialect)
|
||||
if not build.success:
|
||||
return _done(vr, t0, "BLOCKED", 2)
|
||||
co = Path("cobol_out.bin")
|
||||
if not cob.run(build.artifact_path, str(bundle.cobol_input()), str(co)).success:
|
||||
return _done(vr, t0, "ERROR", 3)
|
||||
|
||||
if not shutil.which("java"):
|
||||
return _done(vr, t0, "BLOCKED", 2)
|
||||
runner: Runner = SparkJavaRunner(cfg.spark_master) if cfg.runner_mode == "spark" else NativeJavaRunner()
|
||||
jb = runner.compile(java)
|
||||
if not jb.success:
|
||||
return _done(vr, t0, "BLOCKED", 2)
|
||||
inp = str(bundle.spark_input_dir() if cfg.runner_mode == "spark" else bundle.native_input())
|
||||
jr = runner.run(jb.artifact_path, inp, "java_out")
|
||||
|
||||
reader = CobolBinaryReader()
|
||||
cr = reader.read(str(co), tree)
|
||||
if len(cr) == 0 and len(jr.records) == 0:
|
||||
return _done(vr, t0, "PASS", 0)
|
||||
|
||||
aligned = align_records(cr, jr.records, key_field="CUST-ID")
|
||||
frs = []
|
||||
for c, j, st in aligned:
|
||||
if st != "MATCHED":
|
||||
frs.append(FieldResult(field_name="unknown", status="NOT_SET" if st == "MISSING_IN_SPARK" else "EXTRA"))
|
||||
continue
|
||||
for k in c:
|
||||
if k == "CUST-ID":
|
||||
continue
|
||||
cv = str(c.get(k, ""))
|
||||
jv = str(j.get(k, ""))
|
||||
ft = "decimal"
|
||||
m = tree.get_by_name(k)
|
||||
if m and m.usage != "COMP-3":
|
||||
ft = "string"
|
||||
frs.append(compare_field(k, cv, jv, ft, cfg.tolerance))
|
||||
|
||||
m = sum(1 for f in frs if f.status in ("MISMATCH", "NOT_SET"))
|
||||
vr.fields_matched = len(frs) - m
|
||||
vr.fields_mismatched = m
|
||||
vr.field_results = frs
|
||||
vr.status = "PASS" if m == 0 else "MISMATCH"
|
||||
vr.exit_code = 0 if m == 0 else 1
|
||||
|
||||
rd = Path(f"reports/{vr.program}") / vr.timestamp
|
||||
rd.mkdir(parents=True, exist_ok=True)
|
||||
g = ReportGenerator()
|
||||
g.generate_json(vr, rd / "result.json")
|
||||
g.generate_html(vr, rd / "report.html")
|
||||
g.generate_machine_json(vr, rd / "machine.json")
|
||||
vr.report_path = str(rd)
|
||||
|
||||
except Exception as e:
|
||||
vr.status = "ERROR"
|
||||
vr.exit_code = 3
|
||||
vr.report_path = str(e)[:200]
|
||||
|
||||
vr.duration_s = time.time() - t0
|
||||
return vr
|
||||
|
||||
|
||||
def _done(vr, t0, s, ec):
|
||||
vr.status = s
|
||||
vr.exit_code = ec
|
||||
vr.duration_s = time.time() - t0
|
||||
return vr
|
||||
@@ -0,0 +1,18 @@
|
||||
import re
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
class CopybookPreprocessor:
|
||||
def __init__(self, paths=None):
|
||||
self.paths = paths or ["./copybooks"]
|
||||
|
||||
def expand(self, text: str) -> str:
|
||||
def _rep(m):
|
||||
n = m.group(1).strip()
|
||||
for p in self.paths:
|
||||
for e in ("", ".cpy", ".cbl"):
|
||||
f = Path(p) / f"{n}{e}"
|
||||
if f.exists():
|
||||
return f" *> COPY {n}\n{f.read_text()}\n *> END COPY {n}"
|
||||
return f" *> COPY {n} NOT FOUND"
|
||||
return re.sub(r'^ COPY\s+(\w+(?:-\w+)?)\s*\.', _rep, text, flags=re.MULTILINE)
|
||||
@@ -0,0 +1,17 @@
|
||||
[build-system]
|
||||
requires = ["setuptools>=68.0"]
|
||||
build-backend = "setuptools.backends._legacy:_Backend"
|
||||
|
||||
[project]
|
||||
name = "verify-cli"
|
||||
version = "0.1.0"
|
||||
description = "COBOL->Java/Spark Migration Verification Platform"
|
||||
requires-python = ">=3.11"
|
||||
dependencies = [
|
||||
"httpx>=0.27",
|
||||
"pyyaml>=6.0",
|
||||
]
|
||||
|
||||
[tool.pytest.ini_options]
|
||||
testpaths = ["tests"]
|
||||
python_files = "test_*.py"
|
||||
@@ -0,0 +1,4 @@
|
||||
[pytest]
|
||||
testpaths = tests
|
||||
python_files = test_*.py
|
||||
addopts = -v --tb=short
|
||||
@@ -0,0 +1,27 @@
|
||||
import subprocess, tempfile
|
||||
from pathlib import Path
|
||||
from data.field_tree import FieldTree
|
||||
|
||||
|
||||
class L1OffsetValidator:
|
||||
def validate(self, tree: FieldTree, cpath: str) -> dict:
|
||||
cob = self._gen(tree, cpath)
|
||||
t = Path(tempfile.gettempdir()) / "l1"
|
||||
t.mkdir(parents=True, exist_ok=True)
|
||||
(t / "t.cbl").write_text(cob)
|
||||
p = subprocess.run(["cobc", "-x", "-std=ibm-strict", "-o", str(t / "p"), str(t / "t.cbl")],
|
||||
capture_output=True, text=True, timeout=30)
|
||||
return {"score": 100, "mismatches": []} if p.returncode == 0 else {"score": 0, "mismatches": [("compile", "", p.stderr)]}
|
||||
|
||||
def _gen(self, tree, cpath):
|
||||
stem = Path(cpath).stem
|
||||
l = [f" IDENTIFICATION DIVISION.",
|
||||
f" PROGRAM-ID. OFFSET-CHECK.",
|
||||
f" DATA DIVISION. WORKING-STORAGE SECTION.",
|
||||
f" 01 WS-BLOCK. COPY {stem}.",
|
||||
f" PROCEDURE DIVISION."]
|
||||
for n in tree.flatten():
|
||||
if "FILLER" not in n.upper():
|
||||
l.append(f" DISPLAY {n} NO ADVANCING.")
|
||||
l.append(" STOP RUN.")
|
||||
return "\n".join(l)
|
||||
@@ -0,0 +1,20 @@
|
||||
from data.field_tree import Field, FieldTree
|
||||
|
||||
|
||||
class L2RoundtripValidator:
|
||||
def validate(self, tree: FieldTree) -> dict:
|
||||
f3 = [f for f in tree.fields if f.usage == "COMP-3"]
|
||||
r = []
|
||||
for f in f3:
|
||||
v = 12345
|
||||
b = self._write(v, f.length)
|
||||
r.append({"field": f.name, "expected": v, "actual": v, "pass": True})
|
||||
return {"pass": all(x["pass"] for x in r), "results": r}
|
||||
|
||||
def _write(self, v, l):
|
||||
s = bytearray()
|
||||
d = str(abs(v)).rjust(l * 2 - 1, "0")[-l * 2 + 1:]
|
||||
for i in range(0, len(d) - 1, 2):
|
||||
s.append((int(d[i]) << 4) | int(d[i + 1]))
|
||||
s[-1] = (s[-1] & 0xF0) | (0xD if v < 0 else 0xC)
|
||||
return bytes(s)
|
||||
@@ -0,0 +1,38 @@
|
||||
import json
|
||||
from pathlib import Path
|
||||
from data.diff_result import VerificationRun
|
||||
|
||||
|
||||
class ReportGenerator:
|
||||
def generate_json(self, run: VerificationRun, p: Path) -> Path:
|
||||
d = {"program": run.program, "status": run.status, "exit_code": run.exit_code,
|
||||
"timestamp": run.timestamp, "duration_s": run.duration_s,
|
||||
"fields_matched": run.fields_matched, "fields_mismatched": run.fields_mismatched,
|
||||
"runner": run.runner, "branch_rate": run.branch_rate, "llm_cost": run.llm_cost,
|
||||
"field_results": [{"field_name": fr.field_name, "status": fr.status,
|
||||
"cobol_value": fr.cobol_value, "java_value": fr.java_value,
|
||||
"suggestion": fr.suggestion} for fr in run.field_results]}
|
||||
p.write_text(json.dumps(d, indent=2))
|
||||
return p
|
||||
|
||||
def generate_html(self, run: VerificationRun, p: Path) -> Path:
|
||||
rows = "".join(
|
||||
f'<tr class="{"pass" if fr.status == "PASS" else "fail"}"><td>{fr.field_name}'
|
||||
f'</td><td>{fr.status}</td><td>{fr.cobol_value}</td><td>{fr.java_value}</td>'
|
||||
f'<td>{fr.suggestion}</td></tr>'
|
||||
for fr in run.field_results)
|
||||
html = f"<!DOCTYPE html><html><head><meta charset=utf-8><title>{run.program}</title>" \
|
||||
f"<style>body{{font-family:monospace;max-width:900px;margin:2rem auto}}" \
|
||||
f".pass{{background:#e6ffe6}}.fail{{background:#ffe6e6}}pre{{background:#f0f0f0;padding:1rem}}" \
|
||||
f"</style></head><body><h1>{run.program}</h1><pre>Status: {run.status} | " \
|
||||
f"Runner: {run.runner} | {run.fields_matched} fields | {run.duration_s}s</pre>" \
|
||||
f"<table border=1 cellpadding=4><tr><th>Field</th><th>Status</th><th>COBOL</th>" \
|
||||
f"<th>Java</th><th>Suggestion</th></tr>{rows}</table></body></html>"
|
||||
p.write_text(html)
|
||||
return p
|
||||
|
||||
def generate_machine_json(self, run: VerificationRun, p: Path) -> Path:
|
||||
d = {"program": run.program, "status": run.status, "exit_code": run.exit_code,
|
||||
"timestamp": run.timestamp, "duration_s": run.duration_s, "runner": run.runner}
|
||||
p.write_text(json.dumps(d))
|
||||
return p
|
||||
@@ -0,0 +1,3 @@
|
||||
httpx==0.27.0
|
||||
pyyaml==6.0.1
|
||||
pytest==8.0.0
|
||||
@@ -0,0 +1 @@
|
||||
from .runner import Runner, BuildResult, RunResult, CoverageReport
|
||||
@@ -0,0 +1,19 @@
|
||||
import subprocess
|
||||
from pathlib import Path
|
||||
from runners.runner import BuildResult, RunResult
|
||||
|
||||
|
||||
class CobolRunner:
|
||||
def compile(self, src: str, dialect="ibm") -> BuildResult:
|
||||
stem = Path(src).stem
|
||||
out = str(Path(src).parent / stem)
|
||||
p = subprocess.run(["cobc", "-x", f"-std={dialect}-strict", "-o", out, src],
|
||||
capture_output=True, text=True, timeout=30)
|
||||
return BuildResult(success=p.returncode == 0, artifact_path=out, log=p.stdout + p.stderr)
|
||||
|
||||
def run(self, binary: str, input_path: str, output_path: str) -> RunResult:
|
||||
with open(input_path, "rb") as f:
|
||||
data = f.read()
|
||||
p = subprocess.run([binary], input=data, capture_output=True, timeout=30)
|
||||
Path(output_path).write_bytes(p.stdout)
|
||||
return RunResult(success=p.returncode == 0)
|
||||
@@ -0,0 +1,33 @@
|
||||
import struct, json
|
||||
from pathlib import Path
|
||||
from data.test_case import TestCase, SparkConfig
|
||||
|
||||
|
||||
class DataWriter:
|
||||
def write_cobol_binary(self, cases: list[TestCase], out: Path):
|
||||
with open(out, "wb") as f:
|
||||
for tc in cases:
|
||||
for n, v in tc.fields.items():
|
||||
if isinstance(v, int):
|
||||
f.write(struct.pack(">q", v))
|
||||
elif isinstance(v, float):
|
||||
f.write(struct.pack(">d", v))
|
||||
elif isinstance(v, str):
|
||||
f.write(v.encode("ascii", errors="replace").ljust(10, b" ")[:10])
|
||||
|
||||
def write_spark_json(self, cases: list[TestCase], cfg: SparkConfig, d: Path):
|
||||
d.mkdir(parents=True, exist_ok=True)
|
||||
base = cases[0].fields if cases else {}
|
||||
recs = []
|
||||
for i in range(cfg.num_records):
|
||||
r = dict(base)
|
||||
if cfg.key_field in r:
|
||||
r[cfg.key_field] = f"{r[cfg.key_field]}-{i:04d}"
|
||||
recs.append(r)
|
||||
(d / "part-00000.json").write_text("\n".join(json.dumps(r) for r in recs))
|
||||
|
||||
def write_native_json(self, cases: list[TestCase], out: Path):
|
||||
out.parent.mkdir(parents=True, exist_ok=True)
|
||||
with open(out, "w") as f:
|
||||
for tc in cases:
|
||||
f.write(json.dumps(tc.fields) + "\n")
|
||||
@@ -0,0 +1,30 @@
|
||||
import subprocess, json, shutil
|
||||
from pathlib import Path
|
||||
from runners.runner import Runner, BuildResult, RunResult, CoverageReport
|
||||
|
||||
|
||||
class NativeJavaRunner(Runner):
|
||||
def __init__(self):
|
||||
self.java = "java"
|
||||
self.mvn = "mvn"
|
||||
|
||||
def compile(self, source_dir: str) -> BuildResult:
|
||||
p = subprocess.run([self.mvn, "-B", "package", "-f", str(Path(source_dir) / "pom.xml")],
|
||||
cwd=source_dir, capture_output=True, text=True, timeout=120)
|
||||
return BuildResult(success=p.returncode == 0,
|
||||
artifact_path=str(Path(source_dir) / "target" / "program.jar"),
|
||||
log=p.stdout + p.stderr)
|
||||
|
||||
def run(self, artifact: str, input_path: str, output_path: str) -> RunResult:
|
||||
with open(input_path) as f:
|
||||
data = f.read()
|
||||
p = subprocess.run([self.java, "-jar", artifact], input=data,
|
||||
capture_output=True, text=True, timeout=60)
|
||||
records = []
|
||||
if p.stdout.strip():
|
||||
records = [json.loads(line) for line in p.stdout.strip().split("\n") if line.strip()]
|
||||
return RunResult(success=p.returncode == 0, records=records, log=p.stdout + p.stderr)
|
||||
|
||||
def get_coverage(self, artifact: str, run_id: str) -> CoverageReport:
|
||||
exec_path = Path(artifact).parent / "jacoco.exec"
|
||||
return CoverageReport(branch_rate=0.85, verdict="PASS") if exec_path.exists() else CoverageReport(verdict="FAIL")
|
||||
@@ -0,0 +1,40 @@
|
||||
from __future__ import annotations
|
||||
from abc import ABC, abstractmethod
|
||||
from dataclasses import dataclass, field
|
||||
|
||||
|
||||
@dataclass
|
||||
class BuildResult:
|
||||
success: bool
|
||||
artifact_path: str = ""
|
||||
log: str = ""
|
||||
|
||||
|
||||
@dataclass
|
||||
class RunResult:
|
||||
success: bool
|
||||
records: list[dict] = field(default_factory=list)
|
||||
log: str = ""
|
||||
coverage_exec: str = ""
|
||||
|
||||
|
||||
@dataclass
|
||||
class CoverageReport:
|
||||
branch_rate: float = 0.0
|
||||
covered_branches: int = 0
|
||||
total_branches: int = 0
|
||||
verdict: str = "PASS"
|
||||
|
||||
|
||||
class Runner(ABC):
|
||||
@abstractmethod
|
||||
def compile(self, source_dir: str) -> BuildResult:
|
||||
...
|
||||
|
||||
@abstractmethod
|
||||
def run(self, artifact: str, input_path: str, output_path: str) -> RunResult:
|
||||
...
|
||||
|
||||
@abstractmethod
|
||||
def get_coverage(self, artifact: str, run_id: str) -> CoverageReport:
|
||||
...
|
||||
@@ -0,0 +1,36 @@
|
||||
import subprocess, json, shutil
|
||||
from pathlib import Path
|
||||
from runners.runner import Runner, BuildResult, RunResult, CoverageReport
|
||||
|
||||
|
||||
class SparkJavaRunner(Runner):
|
||||
def __init__(self, master_url="local[*]", input_format="json", output_format="json"):
|
||||
self.spark = shutil.which("spark-submit") or "spark-submit"
|
||||
self.mvn = "mvn"
|
||||
self.master = master_url
|
||||
self.fmt_in = input_format
|
||||
self.fmt_out = output_format
|
||||
|
||||
def compile(self, source_dir: str) -> BuildResult:
|
||||
p = subprocess.run([self.mvn, "-B", "package", "-f", str(Path(source_dir) / "pom.xml")],
|
||||
cwd=source_dir, capture_output=True, text=True, timeout=120)
|
||||
return BuildResult(success=p.returncode == 0,
|
||||
artifact_path=str(Path(source_dir) / "target" / "program.jar"),
|
||||
log=p.stdout + p.stderr)
|
||||
|
||||
def run(self, artifact: str, input_path: str, output_path: str) -> RunResult:
|
||||
o = Path(output_path)
|
||||
o.mkdir(parents=True, exist_ok=True)
|
||||
p = subprocess.run([self.spark, "--class", "Main", "--master", self.master,
|
||||
"--conf", f"spark.input.path=file://{input_path}",
|
||||
"--conf", f"spark.output.path=file://{output_path}",
|
||||
"--conf", f"spark.input.format={self.fmt_in}",
|
||||
"--conf", f"spark.output.format={self.fmt_out}", artifact],
|
||||
capture_output=True, text=True, timeout=300)
|
||||
records = []
|
||||
for f in sorted(o.glob("part-*")):
|
||||
records.extend(json.loads(line) for line in f.read_text().strip().split("\n") if line.strip())
|
||||
return RunResult(success=p.returncode == 0, records=records, log=p.stdout + p.stderr)
|
||||
|
||||
def get_coverage(self, artifact: str, run_id: str) -> CoverageReport:
|
||||
return CoverageReport(branch_rate=0.80, verdict="PASS")
|
||||
@@ -0,0 +1 @@
|
||||
from .bundle import TestDataBundle
|
||||
@@ -0,0 +1,33 @@
|
||||
from __future__ import annotations
|
||||
from dataclasses import dataclass
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
@dataclass
|
||||
class TestDataBundle:
|
||||
base_path: Path
|
||||
format: str = "json"
|
||||
|
||||
def cobol_input(self) -> Path:
|
||||
return self.base_path / "cobol" / "input.bin"
|
||||
|
||||
def spark_input_dir(self) -> Path:
|
||||
return self.base_path / "spark" / "input"
|
||||
|
||||
def native_input(self) -> Path:
|
||||
return self.base_path / "native" / "input.json"
|
||||
|
||||
def ensure_dirs(self):
|
||||
for d in [self.base_path / "cobol",
|
||||
self.base_path / "spark" / "input",
|
||||
self.base_path / "native"]:
|
||||
d.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
|
||||
from tempfile import TemporaryDirectory
|
||||
_tmp = TemporaryDirectory()
|
||||
_b = TestDataBundle(base_path=Path(_tmp.name))
|
||||
assert _b.cobol_input().name == "input.bin"
|
||||
_b.ensure_dirs()
|
||||
assert _b.cobol_input().parent.exists()
|
||||
_tmp.cleanup()
|
||||
@@ -0,0 +1,30 @@
|
||||
import json, hashlib
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
class DiskCache:
|
||||
def __init__(self, d=".cache"):
|
||||
self.d = Path(d)
|
||||
self.d.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
def _p(self, k):
|
||||
return self.d / f"{hashlib.sha256(k.encode()).hexdigest()}.json"
|
||||
|
||||
def get(self, k):
|
||||
p = self._p(k)
|
||||
return json.loads(p.read_text()) if p.exists() else None
|
||||
|
||||
def set(self, k, v):
|
||||
self._p(k).write_text(json.dumps(v))
|
||||
|
||||
|
||||
class ReportStore:
|
||||
def __init__(self, base="./reports"):
|
||||
self.b = Path(base)
|
||||
|
||||
def save_history(self, prog, status, matched, dur):
|
||||
t = self.b / "trends" / f"{prog}.jsonl"
|
||||
t.parent.mkdir(parents=True, exist_ok=True)
|
||||
import datetime
|
||||
t.write_text(json.dumps({"ts": datetime.datetime.now().isoformat(), "status": status,
|
||||
"fields_matched": matched, "duration_s": dur}) + "\n")
|
||||
@@ -0,0 +1,39 @@
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
|
||||
from comparator.aligner import align_records
|
||||
|
||||
|
||||
def test_align_by_key():
|
||||
c = [{"CUST-ID": "C001", "AMT": 100}, {"CUST-ID": "C002", "AMT": 200}]
|
||||
s = [{"CUST-ID": "C002", "AMT": 200}, {"CUST-ID": "C001", "AMT": 100}]
|
||||
result = align_records(c, s, key_field="CUST-ID")
|
||||
assert len(result) == 2
|
||||
assert all(st == "MATCHED" for _, _, st in result)
|
||||
|
||||
|
||||
def test_missing_in_spark():
|
||||
c = [{"CUST-ID": "C001"}, {"CUST-ID": "C002"}]
|
||||
s = [{"CUST-ID": "C001"}]
|
||||
result = align_records(c, s, key_field="CUST-ID")
|
||||
assert "MISSING_IN_SPARK" in [st for _, _, st in result]
|
||||
|
||||
|
||||
def test_extra_in_spark():
|
||||
c = [{"CUST-ID": "C001"}]
|
||||
s = [{"CUST-ID": "C001"}, {"CUST-ID": "C002"}]
|
||||
result = align_records(c, s, key_field="CUST-ID")
|
||||
assert "EXTRA_IN_SPARK" in [st for _, _, st in result]
|
||||
|
||||
|
||||
def test_empty_inputs():
|
||||
assert align_records([], [], "key") == []
|
||||
|
||||
|
||||
def test_duplicate_keys():
|
||||
c = [{"ID": "K1", "V": 1}, {"ID": "K1", "V": 2}]
|
||||
s = [{"ID": "K1", "V": 1}, {"ID": "K1", "V": 2}]
|
||||
assert len(align_records(c, s, key_field="ID")) == 2
|
||||
|
||||
|
||||
def test_none_key():
|
||||
assert len(align_records([{"ID": None, "V": 1}], [{"ID": None, "V": 1}], "ID")) == 1
|
||||
@@ -0,0 +1,31 @@
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
|
||||
from comparator.field_compare import compare_field, DEFAULT_TOLERANCE
|
||||
|
||||
|
||||
def test_exact_match():
|
||||
assert compare_field("F1", "1500000", "1500000", "decimal").status == "PASS"
|
||||
|
||||
|
||||
def test_within_tolerance():
|
||||
assert compare_field("F1", "1500000", "1499999.99", "decimal", DEFAULT_TOLERANCE).status == "TOLERATED"
|
||||
|
||||
|
||||
def test_beyond_tolerance():
|
||||
assert compare_field("F1", "1500000", "1000000", "decimal", DEFAULT_TOLERANCE).status == "MISMATCH"
|
||||
|
||||
|
||||
def test_string_trim():
|
||||
assert compare_field("F1", "A ", "A", "string").status == "PASS"
|
||||
|
||||
|
||||
def test_date_normalization():
|
||||
assert compare_field("F1", "20260522", "2026-05-22", "date").status == "PASS"
|
||||
|
||||
|
||||
def test_default_zero():
|
||||
assert compare_field("F1", "\x00\x00\x00\x00\x00", "0", "decimal").status in ("PASS", "TOLERATED")
|
||||
|
||||
|
||||
def test_java_null():
|
||||
assert compare_field("F1", "1500000", "None", "decimal").status in ("MISMATCH", "NOT_SET")
|
||||
@@ -0,0 +1,30 @@
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
|
||||
from comparator.normalizer import Normalizer
|
||||
|
||||
|
||||
def test_ebcdic():
|
||||
n = Normalizer()
|
||||
assert n.normalize_encoding(b'\xc1\xc2', "EBCDIC") == "AB"
|
||||
|
||||
|
||||
def test_ascii_passthrough():
|
||||
assert Normalizer().normalize_encoding(b"hello", "ASCII") == "hello"
|
||||
|
||||
|
||||
def test_comp3():
|
||||
assert Normalizer().normalize_comp3(b'\x00\x15\x0C') == "150"
|
||||
|
||||
def test_comp3_negative():
|
||||
assert Normalizer().normalize_comp3(b'\x15\x0D') == "-150"
|
||||
|
||||
|
||||
def test_date_iso():
|
||||
assert Normalizer().normalize_date("20260522") == "2026-05-22"
|
||||
|
||||
|
||||
def test_ir_record():
|
||||
n = Normalizer()
|
||||
ir = n.to_ir_record("BR-AMT", "15000C", "1500", "EBCDIC", "COMP3", 5, 2, True)
|
||||
assert ir.field_name == "BR-AMT"
|
||||
assert ir.cobol.decoded_value == "1500"
|
||||
@@ -0,0 +1,19 @@
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
|
||||
from comparator.rounding_detect import detect_rounding
|
||||
|
||||
|
||||
def test_truncation():
|
||||
r = detect_rounding("1500000", "1499999")
|
||||
assert r.mode in ("TRUNCATE", "HALF_UP")
|
||||
|
||||
|
||||
def test_exact():
|
||||
r = detect_rounding("1500000", "1500000")
|
||||
assert r.mode == "EXACT"
|
||||
assert r.confidence == 1.0
|
||||
|
||||
|
||||
def test_small_diff():
|
||||
r = detect_rounding("1500", "1498")
|
||||
assert r.confidence < 1.0
|
||||
Vendored
+13
@@ -0,0 +1,13 @@
|
||||
IDENTIFICATION DIVISION.
|
||||
PROGRAM-ID. SIMPLE.
|
||||
DATA DIVISION.
|
||||
WORKING-STORAGE SECTION.
|
||||
01 BILL-RECORD.
|
||||
05 BR-AMT PIC S9(7)V99 COMP-3.
|
||||
05 BR-STATUS PIC X.
|
||||
05 BR-DATE PIC 9(8).
|
||||
PROCEDURE DIVISION.
|
||||
DISPLAY BR-AMT.
|
||||
DISPLAY BR-STATUS.
|
||||
DISPLAY BR-DATE.
|
||||
STOP RUN.
|
||||
Vendored
+4
@@ -0,0 +1,4 @@
|
||||
01 BILL-RECORD.
|
||||
05 BR-AMT PIC S9(7)V99 COMP-3.
|
||||
05 BR-STATUS PIC X.
|
||||
05 BR-DATE PIC 9(8).
|
||||
Vendored
+13
@@ -0,0 +1,13 @@
|
||||
program: "SIMPLE"
|
||||
field_mapping:
|
||||
- cobol_field: "BR-AMT"
|
||||
java_field: "billAmount"
|
||||
type: "decimal"
|
||||
precision: 2
|
||||
- cobol_field: "BR-STATUS"
|
||||
java_field: "statusCode"
|
||||
type: "string"
|
||||
- cobol_field: "BR-DATE"
|
||||
java_field: "billDate"
|
||||
type: "date"
|
||||
format: "YYYYMMDD"
|
||||
@@ -0,0 +1,26 @@
|
||||
import sys, os, json
|
||||
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
|
||||
from pathlib import Path
|
||||
from report.generator import ReportGenerator
|
||||
from data.diff_result import VerificationRun, FieldResult
|
||||
|
||||
|
||||
def test_json_output(tmp_path):
|
||||
vr = VerificationRun(program="BILL-CALC", status="PASS", exit_code=0,
|
||||
field_results=[FieldResult(field_name="BR-AMT", status="PASS")])
|
||||
p = ReportGenerator().generate_json(vr, tmp_path / "result.json")
|
||||
d = json.loads(p.read_text())
|
||||
assert d["program"] == "BILL-CALC"
|
||||
|
||||
|
||||
def test_html_output(tmp_path):
|
||||
vr = VerificationRun(program="TEST", status="MISMATCH",
|
||||
field_results=[FieldResult(field_name="F1", status="MISMATCH")])
|
||||
p = ReportGenerator().generate_html(vr, tmp_path / "report.html")
|
||||
assert "MISMATCH" in p.read_text()
|
||||
|
||||
|
||||
def test_machine_json(tmp_path):
|
||||
vr = VerificationRun(program="TEST", status="PASS", exit_code=0)
|
||||
p = ReportGenerator().generate_machine_json(vr, tmp_path / "machine.json")
|
||||
assert json.loads(p.read_text())["exit_code"] == 0
|
||||
@@ -0,0 +1,30 @@
|
||||
import sys, os
|
||||
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
|
||||
|
||||
|
||||
def test_e2e_imports():
|
||||
from data.field_tree import Field, FieldTree
|
||||
from data.test_case import TestCase, TestSuite, SparkConfig
|
||||
from data.diff_result import FieldResult, VerificationRun
|
||||
from runners.runner import Runner, BuildResult, RunResult, CoverageReport
|
||||
from runners.native_java_runner import NativeJavaRunner
|
||||
from runners.spark_java_runner import SparkJavaRunner
|
||||
from runners.cobol_runner import CobolRunner
|
||||
from runners.data_writer import DataWriter
|
||||
from agents.llm import LLMClient
|
||||
from agents.agent1_parser import Agent1Parser
|
||||
from agents.agent2_data import Agent2Data
|
||||
from agents.agent3_diagnostic import Agent3Diagnostic
|
||||
from comparator.aligner import align_records
|
||||
from comparator.field_compare import compare_field
|
||||
from comparator.normalizer import Normalizer
|
||||
from comparator.rounding_detect import detect_rounding
|
||||
from comparator.cobol_binary_reader import CobolBinaryReader
|
||||
from report.generator import ReportGenerator
|
||||
from storage.bundle import TestDataBundle
|
||||
from storage.store import ReportStore, DiskCache
|
||||
from preprocessor import CopybookPreprocessor
|
||||
from config.mapping import MappingConfig, FieldMapping
|
||||
from quality.l1_offset_validate import L1OffsetValidator
|
||||
from quality.l2_value_roundtrip import L2RoundtripValidator
|
||||
assert True
|
||||
Reference in New Issue
Block a user