120 lines
4.5 KiB
Python
120 lines
4.5 KiB
Python
import shutil, time
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from pathlib import Path
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from data.field_tree import FieldTree
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from data.test_case import TestSuite, SparkConfig
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from data.diff_result import VerificationRun, FieldResult
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from runners.runner import Runner
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from runners.native_java_runner import NativeJavaRunner
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from runners.spark_java_runner import SparkJavaRunner
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from runners.cobol_runner import CobolRunner
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from runners.data_writer import DataWriter
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from agents.agent1_parser import Agent1Parser
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from agents.agent2_data import Agent2Data
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from agents.llm import LLMClient
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from comparator.aligner import align_records
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from comparator.field_compare import compare_field
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from comparator.cobol_binary_reader import CobolBinaryReader
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from report.generator import ReportGenerator
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from storage.bundle import TestDataBundle
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from config import Config
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def run_pipeline(cfg: Config, cpath: str, cbl: str, java: str, map_path: str) -> VerificationRun:
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t0 = time.time()
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vr = VerificationRun(program=Path(java).stem, runner=cfg.runner_mode)
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try:
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text = Path(cpath).read_text()
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if not text.strip():
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return _done(vr, t0, "BLOCKED", 2)
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llm = LLMClient(model=cfg.llm_model, timeout=cfg.llm_timeout, cache_dir=cfg.llm_cache_dir)
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tree = Agent1Parser(llm).parse(text)
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vr.llm_cost += 0.002
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if not tree.fields:
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return _done(vr, t0, "BLOCKED", 2)
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if vr.llm_cost > cfg.max_llm_cost:
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return _done(vr, t0, "BLOCKED", 3)
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suite = Agent2Data(llm).design(tree, cfg.coverage_default, cfg.runner_mode == "spark")
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vr.llm_cost += 0.002
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bundle = TestDataBundle(base_path=Path("test-data-bundle"))
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bundle.ensure_dirs()
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dw = DataWriter()
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dw.write_cobol_binary(suite.test_cases, bundle.cobol_input())
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if cfg.runner_mode == "spark":
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sc = suite.spark_config or SparkConfig(num_records=cfg.num_records)
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dw.write_spark_json(suite.test_cases, sc, bundle.spark_input_dir())
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else:
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dw.write_native_json(suite.test_cases, bundle.native_input())
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cob = CobolRunner()
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build = cob.compile(cbl, cfg.dialect)
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if not build.success:
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return _done(vr, t0, "BLOCKED", 2)
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co = Path("cobol_out.bin")
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if not cob.run(build.artifact_path, str(bundle.cobol_input()), str(co)).success:
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return _done(vr, t0, "ERROR", 3)
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if not shutil.which("java"):
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return _done(vr, t0, "BLOCKED", 2)
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runner: Runner = SparkJavaRunner(cfg.spark_master) if cfg.runner_mode == "spark" else NativeJavaRunner()
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jb = runner.compile(java)
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if not jb.success:
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return _done(vr, t0, "BLOCKED", 2)
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inp = str(bundle.spark_input_dir() if cfg.runner_mode == "spark" else bundle.native_input())
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jr = runner.run(jb.artifact_path, inp, "java_out")
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reader = CobolBinaryReader()
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cr = reader.read(str(co), tree)
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if len(cr) == 0 and len(jr.records) == 0:
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return _done(vr, t0, "PASS", 0)
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aligned = align_records(cr, jr.records, key_field="CUST-ID")
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frs = []
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for c, j, st in aligned:
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if st != "MATCHED":
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frs.append(FieldResult(field_name="unknown", status="NOT_SET" if st == "MISSING_IN_SPARK" else "EXTRA"))
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continue
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for k in c:
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if k == "CUST-ID":
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continue
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cv = str(c.get(k, ""))
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jv = str(j.get(k, ""))
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ft = "decimal"
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m = tree.get_by_name(k)
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if m and m.usage != "COMP-3":
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ft = "string"
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frs.append(compare_field(k, cv, jv, ft, cfg.tolerance))
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m = sum(1 for f in frs if f.status in ("MISMATCH", "NOT_SET"))
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vr.fields_matched = len(frs) - m
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vr.fields_mismatched = m
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vr.field_results = frs
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vr.status = "PASS" if m == 0 else "MISMATCH"
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vr.exit_code = 0 if m == 0 else 1
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rd = Path(f"reports/{vr.program}") / vr.timestamp
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rd.mkdir(parents=True, exist_ok=True)
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g = ReportGenerator()
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g.generate_json(vr, rd / "result.json")
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g.generate_html(vr, rd / "report.html")
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g.generate_machine_json(vr, rd / "machine.json")
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vr.report_path = str(rd)
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except Exception as e:
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vr.status = "ERROR"
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vr.exit_code = 3
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vr.report_path = str(e)[:200]
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vr.duration_s = time.time() - t0
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return vr
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def _done(vr, t0, s, ec):
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vr.status = s
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vr.exit_code = ec
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vr.duration_s = time.time() - t0
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return vr
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