import json, os, sys, traceback
sys.path.insert(0, ".")
os.environ["LLM_API_KEY"] = "sk-ca4961087c7f4aefa8ed0fc6f3d02329"
os.environ["LLM_API_BASE"] = "https://api.deepseek.com/v1"

from config import Config
from orchestrator import run_pipeline

cfg = Config()
cfg.llm_model = "deepseek-chat"
cfg.runner_mode = "native"

print("STEP 1: Reading copybook...")
cp = "uploads/ec17bf32/copybook.cpy"
with open(cp) as f:
    text = f.read()
print(f"  Copybook text ({len(text)} chars):\n{text}")

print("\nSTEP 2: Agent1Parser (LLM)...")
from agents.agent1_parser import Agent1Parser
from agents.llm import LLMClient
try:
    llm = LLMClient(model="deepseek-chat", timeout=30)
    tree = Agent1Parser(llm).parse(text)
    fields = tree.flatten()
    print(f"  Fields parsed: {list(fields.keys())}")
    for name, f in fields.items():
        print(f"    {name}: level={f.level}, pic={f.pic}, usage={f.usage}, offset={f.offset}, len={f.length}")
except Exception as e:
    print(f"  ERROR: {e}")
    traceback.print_exc()

print("\nSTEP 3: Full orchestrator...")
try:
    vr = run_pipeline(cfg, cp, "uploads/ec17bf32/program.cbl",
                      "uploads/ec17bf32/java", "uploads/ec17bf32/mapping.yaml")
    print(f"  Status: {vr.status} (exit_code={vr.exit_code})")
    print(f"  Program: {vr.program}")
    print(f"  Matched: {vr.fields_matched}")
    print(f"  Mismatched: {vr.fields_mismatched}")
    print(f"  Duration: {vr.duration_s:.1f}s")
    print(f"  Debug keys: {list(vr.debug.keys())}")
    print(f"  Debug details:")
    for k, v in vr.debug.items():
        if v:
            if isinstance(v, dict):
                print(f"    {k}: {'OK' if v.get('ok') else 'FAIL'} {str(v.get('log',''))[-200:]}")
            else:
                print(f"    {k}: {v}")
except Exception as e:
    print(f"  ERROR: {e}")
    traceback.print_exc()