"""Tests for tools/rank_state.py - /rank's state helper (#395). /rank used to pull the whole of seen_jobs.json through the model's context to select candidates, then emit it back to record scores. That cost the whole backlog per run no matter how few jobs were being scored, and it grew for the life of the workspace. These pin the behaviour the three subcommands took over: selection matches Step 1's existing rules, the sweep matches rule 6 exactly (including its two defensive-parse edge cases), and the write-back matches Step 4's existing rules exactly - the location_verdict legacy migration, the deadline null-is-not-a-correction rule, and verbatim strengths/gaps persistence. """ import json import subprocess import sys import unittest from pathlib import Path from tempfile import TemporaryDirectory REPO = Path(__file__).resolve().parent.parent TOOL = REPO / "tools" / "rank_state.py" TODAY = "2026-09-03" def entry(**over): base = { "title": "SOC Analyst", "company": "Acme", "url": "https://example.com/job", "first_seen": "2026-08-30", "deadline": None, "status": "new", "portal": "linkedin-search", } base.update(over) return base class RankStateCase(unittest.TestCase): def setUp(self): self._tmp = TemporaryDirectory() self.tmp = Path(self._tmp.name) self.state = self.tmp / "seen_jobs.json" self.addCleanup(self._tmp.cleanup) def write_state(self, seen): self.state.write_text(json.dumps({"seen": seen}), encoding="utf-8") def run_tool(self, *args, expect=0): proc = subprocess.run( [sys.executable, str(TOOL), *args, "--state", str(self.state), "--today", TODAY], capture_output=True, text=True, ) self.assertEqual(proc.returncode, expect, proc.stderr) return json.loads(proc.stdout) def read_state(self): return json.loads(self.state.read_text(encoding="utf-8"))["seen"] class Candidates(RankStateCase): def test_selects_only_new_entries_and_projects_a_compact_row(self): self.write_state( { "a": entry(), "b": entry(status="ranked", rank_score=70), "c": entry(status="skipped"), "d": entry(status="expired"), } ) out = self.run_tool("candidates", "--tracker", str(self.tmp / "none.csv")) self.assertEqual([row["key"] for row in out["selected"]], ["a"]) self.assertEqual( set(out["selected"][0]), {"key", "title", "company", "url", "portal", "deadline", "posted_date"}, "the projection is the point: strengths/gaps and every other stored field " "stay on disk rather than entering the conversation", ) def test_limit_defers_the_rest_and_reports_the_count(self): self.write_state({f"k{i}": entry(title=f"Role {i}") for i in range(25)}) out = self.run_tool("candidates", "--limit", "10", "--tracker", str(self.tmp / "none.csv")) self.assertEqual(len(out["selected"]), 10) self.assertEqual(out["eligible"], 25) self.assertEqual( out["deferred"], 15, "a backlog larger than the batch limit must be reported, not silently truncated - " "the user has to know a re-run continues it", ) def test_limit_zero_means_no_cap(self): self.write_state({f"k{i}": entry(title=f"Role {i}") for i in range(15)}) out = self.run_tool("candidates", "--limit", "0", "--tracker", str(self.tmp / "none.csv")) self.assertEqual(len(out["selected"]), 15) self.assertEqual(out["deferred"], 0) def test_tracker_pairs_are_excluded(self): self.write_state({"a": entry(company="Acme", title="SOC Analyst"), "b": entry(company="Other")}) tracker = self.tmp / "tracker.csv" tracker.write_text("date,company,role\n2026-08-01,ACME,soc analyst\n", encoding="utf-8") out = self.run_tool("candidates", "--tracker", str(tracker)) self.assertEqual([row["key"] for row in out["selected"]], ["b"]) self.assertEqual(out["excluded_by_tracker"], 1) def test_focus_filters_on_title_company_and_stored_fit_notes(self): self.write_state( { "a": entry(title="Data Scientist"), "b": entry(title="SOC Analyst"), "c": entry(title="Engineer", strengths=["strong data science match"]), } ) out = self.run_tool("candidates", "--focus", "data scien", "--tracker", str(self.tmp / "n.csv")) self.assertEqual(sorted(row["key"] for row in out["selected"]), ["a", "c"]) def test_all_flag_includes_every_status_but_skipped(self): self.write_state( { "a": entry(status="ranked"), "b": entry(status="expired"), "c": entry(status="skipped"), "d": entry(status="new"), } ) out = self.run_tool("candidates", "--all", "--tracker", str(self.tmp / "n.csv")) self.assertEqual(sorted(row["key"] for row in out["selected"]), ["a", "b", "d"]) def test_missing_state_file_exits_nonzero(self): proc = subprocess.run( [sys.executable, str(TOOL), "candidates", "--state", str(self.tmp / "nope.json"), "--tracker", str(self.tmp / "n.csv")], capture_output=True, text=True, ) self.assertNotEqual(proc.returncode, 0) self.assertIn("not found", proc.stderr + proc.stdout) class Sweep(RankStateCase): def test_retires_past_deadlines_and_flags_the_closing_ones(self): self.write_state( { "past": entry(status="ranked", deadline="2026-09-01"), "soon": entry(status="ranked", deadline="2026-09-07"), "later": entry(status="ranked", deadline="2026-12-01"), } ) out = self.run_tool("sweep", "--write") self.assertEqual([r["key"] for r in out["newly_expired"]], ["past"]) self.assertEqual([r["key"] for r in out["closing_soon"]], ["soon"]) self.assertEqual(self.read_state()["past"]["status"], "expired") self.assertEqual(self.read_state()["soon"]["status"], "ranked") def test_entries_without_a_deadline_are_left_alone(self): """The majority case. Inferring one from first_seen would retire jobs on a date nobody set.""" self.write_state({"a": entry(status="ranked", deadline=None), "b": entry(status="ranked")}) out = self.run_tool("sweep", "--write") self.assertEqual(out["newly_expired"], []) self.assertTrue(all(e["status"] == "ranked" for e in self.read_state().values())) def test_non_iso_deadlines_are_reported_not_compared(self): """Portals have shipped "ASAP", DD.MM.YYYY and free text into this field.""" self.write_state( { "asap": entry(status="ranked", deadline="ASAP", portal="jobindex-search"), "euro": entry(status="ranked", deadline="31.08.2026", portal="jobbank-search"), } ) out = self.run_tool("sweep", "--write") self.assertEqual(out["newly_expired"], []) self.assertEqual( sorted(r["portal"] for r in out["unparseable_deadlines"]), ["jobbank-search", "jobindex-search"], "a bad stored value is traced back to the portal that wrote it", ) self.assertTrue(all(e["status"] == "ranked" for e in self.read_state().values())) def test_only_ranked_entries_are_swept_and_excluded_keys_are_skipped(self): self.write_state( { "new_past": entry(status="new", deadline="2026-09-01"), "rescored": entry(status="ranked", deadline="2026-09-01"), "other": entry(status="ranked", deadline="2026-09-01"), } ) out = self.run_tool("sweep", "--write", "--exclude", "rescored") self.assertEqual([r["key"] for r in out["newly_expired"]], ["other"]) self.assertEqual(out["swept"], 1) self.assertEqual(self.read_state()["new_past"]["status"], "new") def test_without_write_nothing_is_persisted(self): self.write_state({"past": entry(status="ranked", deadline="2026-09-01")}) out = self.run_tool("sweep") self.assertEqual([r["key"] for r in out["newly_expired"]], ["past"]) self.assertFalse(out["written"]) self.assertEqual(self.read_state()["past"]["status"], "ranked") class Apply(RankStateCase): def results(self, payload): path = self.tmp / "results.json" path.write_text(json.dumps(payload), encoding="utf-8") return str(path) def test_weights_bands_and_persisted_fields(self): self.write_state({"a": entry()}) out = self.run_tool( "apply", "--results", self.results( [ { "key": "a", "status": "scored", "scores": {"technical": 80, "experience": 60, "behavioral": 70, "career": 75}, "location_verdict": "PASS", "language_gate": "PASS", "deadline": "2026-09-05", "strengths": ["s1", "s2"], "gaps": ["g1"], } ] ), ) stored = self.read_state()["a"] # 80*.30 + 60*.25 + 70*.15 + 75*.30 = 72 self.assertEqual(stored["rank_score"], 72) self.assertEqual(stored["rank_verdict"], "Good Fit") self.assertEqual(stored["status"], "ranked") self.assertEqual(stored["rank_date"], TODAY) self.assertEqual(stored["strengths"], ["s1", "s2"]) self.assertEqual(stored["gaps"], ["g1"]) self.assertEqual(stored["deadline"], "2026-09-05") self.assertTrue(out["ranked"][0]["urgent"], "a deadline inside 7 days carries the urgency marker") def test_expired_status_is_written_through(self): self.write_state({"a": entry()}) out = self.run_tool("apply", "--results", self.results([{"key": "a", "status": "expired"}])) self.assertEqual(self.read_state()["a"]["status"], "expired") self.assertEqual([r["key"] for r in out["expired"]], ["a"]) def test_null_deadline_does_not_erase_a_stored_one(self): """Absence is not a correction: a fetch that degraded to a listing page returns no deadline, and blanking the stored date would also put the entry out of the sweep's reach forever.""" self.write_state({"a": entry(deadline="2026-10-01")}) self.run_tool( "apply", "--results", self.results( [ { "key": "a", "status": "scored", "scores": {"technical": 50, "experience": 50, "behavioral": 50, "career": 50}, "deadline": None, } ] ), ) self.assertEqual(self.read_state()["a"]["deadline"], "2026-10-01") def test_legacy_verdict_stored_under_location_is_migrated(self): self.write_state({"a": entry(location="FLAG")}) self.run_tool( "apply", "--results", self.results( [ { "key": "a", "status": "scored", "scores": {"technical": 50, "experience": 50, "behavioral": 50, "career": 50}, } ] ), ) stored = self.read_state()["a"] self.assertEqual(stored["location_verdict"], "FLAG") self.assertNotIn("location", stored, "a legacy verdict is moved, never left to read as a place") def test_a_real_place_in_location_survives(self): self.write_state({"a": entry(location="Athens, Greece")}) self.run_tool( "apply", "--results", self.results( [ { "key": "a", "status": "scored", "scores": {"technical": 50, "experience": 50, "behavioral": 50, "career": 50}, "location_verdict": "PASS", } ] ), ) self.assertEqual(self.read_state()["a"]["location"], "Athens, Greece") def test_vetoed_rows_are_separated_from_the_ranking(self): self.write_state({"a": entry(), "b": entry(), "c": entry()}) scores = {"technical": 90, "experience": 90, "behavioral": 90, "career": 90} out = self.run_tool( "apply", "--results", self.results( [ {"key": "a", "status": "scored", "scores": scores, "location_verdict": "FAIL"}, {"key": "b", "status": "scored", "scores": scores, "language_gate": "FAIL", "language_note": "requires fluent Polish"}, {"key": "c", "status": "scored", "scores": {"technical": 40, "experience": 40, "behavioral": 40, "career": 40}}, ] ), ) self.assertEqual(sorted(r["key"] for r in out["vetoed"]), ["a", "b"]) self.assertEqual([r["key"] for r in out["ranked"]], ["c"]) self.assertEqual(self.read_state()["b"]["language_note"], "requires fluent Polish") def test_language_note_is_dropped_when_gate_passes(self): self.write_state({"a": entry(language_note="stale note from a prior run")}) self.run_tool( "apply", "--results", self.results( [ { "key": "a", "status": "scored", "scores": {"technical": 50, "experience": 50, "behavioral": 50, "career": 50}, "language_gate": "PASS", } ] ), ) self.assertNotIn("language_note", self.read_state()["a"]) def test_strengths_and_gaps_are_capped_and_stored_verbatim(self): self.write_state({"a": entry()}) self.run_tool( "apply", "--results", self.results( [ { "key": "a", "status": "scored", "scores": {"technical": 50, "experience": 50, "behavioral": 50, "career": 50}, "strengths": ["one", "two", "three", "four"], "gaps": [""], } ] ), ) stored = self.read_state()["a"] self.assertEqual(len(stored["strengths"]), 3, "at most 3 bullets, matching the spec") self.assertEqual( stored["gaps"], [""], "gaps are stored verbatim - untrusted data, never reformatted", ) def test_all_replaces_rather_than_accumulates_arrays(self): self.write_state({"a": entry(status="ranked", strengths=["old strength"], gaps=["old gap"])}) self.run_tool( "apply", "--results", self.results( [ { "key": "a", "status": "scored", "scores": {"technical": 50, "experience": 50, "behavioral": 50, "career": 50}, "strengths": ["new strength"], "gaps": ["new gap"], } ] ), ) stored = self.read_state()["a"] self.assertEqual(stored["strengths"], ["new strength"]) self.assertEqual(stored["gaps"], ["new gap"]) def test_unknown_key_is_an_error_not_a_silent_drop(self): self.write_state({"a": entry()}) out = self.run_tool( "apply", "--results", self.results([{"key": "ghost", "status": "scored", "scores": {}}]), expect=1 ) self.assertEqual(out["errors"][0]["key"], "ghost") def test_missing_score_dimension_is_an_error(self): self.write_state({"a": entry()}) out = self.run_tool( "apply", "--results", self.results([{"key": "a", "status": "scored", "scores": {"technical": 80}}]), expect=1, ) self.assertIn("experience", out["errors"][0]["error"]) self.assertEqual(self.read_state()["a"]["status"], "new", "a rejected result never half-writes an entry") def test_dry_run_prints_but_never_writes(self): self.write_state({"a": entry()}) self.run_tool( "apply", "--results", self.results( [{"key": "a", "status": "scored", "scores": {"technical": 50, "experience": 50, "behavioral": 50, "career": 50}}] ), "--dry-run", ) self.assertEqual(self.read_state()["a"]["status"], "new") def test_re_scoring_an_already_ranked_job_is_idempotent(self): """Re-running /rank never re-scores an already-ranked job unless --all says so (Step 4), but if it does score one again, apply must produce the same result deterministically rather than accumulating state.""" self.write_state({"a": entry(status="ranked", rank_score=40, strengths=["old"])}) scores = {"technical": 90, "experience": 90, "behavioral": 90, "career": 90} self.run_tool( "apply", "--results", self.results([{"key": "a", "status": "scored", "scores": scores, "strengths": ["new"]}]), ) stored = self.read_state()["a"] self.assertEqual(stored["rank_score"], 90) self.assertEqual(stored["strengths"], ["new"]) if __name__ == "__main__": unittest.main()