#!/usr/bin/env python3
"""Dev harness — fire questions at the LOCAL model and print how each is translated.

Lets you eyeball whether the local Qwen maps real questions to the right curated query
(intent + slots), against your real Spark, with NO UI, auth, HTTP, or deploy. This is the
cheap way to validate translation quality before building the web/Matrix surfaces. It only
translates (it does not touch the DB), so no data is needed and nothing leaves the box.

NOT shipped and NOT a test (no `test_` prefix) — a developer convenience.

Needs SPARK_CONTROL_URL set (read from the repo .env) and the Spark reachable.
Run:
  python3 backend/nl_query/try_questions.py                 # the built-in sample set
  python3 backend/nl_query/try_questions.py "when did we last email Acme?"
"""
import os
import sys

sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))  # backend/
import nl_query  # noqa: E402

SAMPLES = [
    "Which investors haven't we reached out to in the last 3 months?",
    "Which investors do we owe follow-ups to?",
    "What is Acme Capital's email and how much have they committed across funds?",
    "When did we last reach out to Acme Capital?",
    "What were the last 10 investor emails we sent, and who to?",
    "What were the last 10 investor emails we received?",
    "Who are all the investors located in Austin?",
    "List our top 10 investors by committed capital.",
    "List our top 10 pipeline investors by stage and the most recent conversation.",
    "What is our total pipeline in dollars, split by stage?",
    "What were the last investor emails sent by Grant?",
    "How many emails has Jonathan sent this week, this month, and year to date?",
]


def main():
    questions = sys.argv[1:] or SAMPLES
    print(f"Translating {len(questions)} question(s) on the local model "
          f"(SPARK_CONTROL_URL={os.environ.get('SPARK_CONTROL_URL', '(unset)')})\n")
    for q in questions:
        r = nl_query.translate(q)
        if r.get("error"):
            print(f"  ?  {q}\n     -> [{r['error']}] {r.get('detail', '')}\n")
        else:
            print(f"  ?  {q}\n     -> {r['intent']}  slots={r['slots']}\n")


if __name__ == "__main__":
    main()