pyr0ball
ce8d5a4ac0
Replaces NotImplementedError stub with full LLM-backed implementation. Builds a prompt from the last 3 resume positions plus already-selected skills/domains/keywords, calls LLMRouter, and returns de-duped suggestions in all three categories.
148 lines
6.4 KiB
Python
148 lines
6.4 KiB
Python
"""Tests for scripts/suggest_helpers.py."""
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import json
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import pytest
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from pathlib import Path
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from unittest.mock import patch, MagicMock
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RESUME_PATH = Path(__file__).parent.parent / "config" / "plain_text_resume.yaml"
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# ── _parse_json ───────────────────────────────────────────────────────────────
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def test_parse_json_extracts_valid_object():
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from scripts.suggest_helpers import _parse_json
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raw = 'Here is the result: {"a": [1, 2], "b": "hello"} done.'
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assert _parse_json(raw) == {"a": [1, 2], "b": "hello"}
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def test_parse_json_returns_empty_on_invalid():
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from scripts.suggest_helpers import _parse_json
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assert _parse_json("no json here") == {}
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assert _parse_json('{"broken": ') == {}
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# ── suggest_search_terms ──────────────────────────────────────────────────────
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BLOCKLIST = {
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"companies": ["Meta", "Amazon"],
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"industries": ["gambling"],
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"locations": [],
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}
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USER_PROFILE = {
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"career_summary": "Customer success leader with 10 years in B2B SaaS.",
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"mission_preferences": {
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"animal_welfare": "I volunteer at my local shelter.",
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"education": "",
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},
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"nda_companies": ["Acme Corp"],
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}
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def _mock_llm(response_dict: dict):
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"""Return a patcher that makes LLMRouter().complete() return a JSON string."""
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mock_router = MagicMock()
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mock_router.complete.return_value = json.dumps(response_dict)
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return patch("scripts.suggest_helpers.LLMRouter", return_value=mock_router)
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def test_suggest_search_terms_returns_titles_and_excludes():
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from scripts.suggest_helpers import suggest_search_terms
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payload = {"suggested_titles": ["VP Customer Success"], "suggested_excludes": ["cold calling"]}
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with _mock_llm(payload):
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result = suggest_search_terms(["Customer Success Manager"], RESUME_PATH, BLOCKLIST, USER_PROFILE)
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assert result["suggested_titles"] == ["VP Customer Success"]
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assert result["suggested_excludes"] == ["cold calling"]
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def test_suggest_search_terms_prompt_contains_blocklist_companies():
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from scripts.suggest_helpers import suggest_search_terms
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with _mock_llm({"suggested_titles": [], "suggested_excludes": []}) as mock_cls:
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suggest_search_terms(["CSM"], RESUME_PATH, BLOCKLIST, USER_PROFILE)
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prompt_sent = mock_cls.return_value.complete.call_args[0][0]
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assert "Meta" in prompt_sent
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assert "Amazon" in prompt_sent
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def test_suggest_search_terms_prompt_contains_mission():
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from scripts.suggest_helpers import suggest_search_terms
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with _mock_llm({"suggested_titles": [], "suggested_excludes": []}) as mock_cls:
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suggest_search_terms(["CSM"], RESUME_PATH, BLOCKLIST, USER_PROFILE)
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prompt_sent = mock_cls.return_value.complete.call_args[0][0]
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assert "animal_welfare" in prompt_sent or "animal welfare" in prompt_sent.lower()
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def test_suggest_search_terms_prompt_contains_career_summary():
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from scripts.suggest_helpers import suggest_search_terms
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with _mock_llm({"suggested_titles": [], "suggested_excludes": []}) as mock_cls:
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suggest_search_terms(["CSM"], RESUME_PATH, BLOCKLIST, USER_PROFILE)
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prompt_sent = mock_cls.return_value.complete.call_args[0][0]
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assert "Customer success leader" in prompt_sent
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def test_suggest_search_terms_returns_empty_on_bad_json():
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from scripts.suggest_helpers import suggest_search_terms
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mock_router = MagicMock()
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mock_router.complete.return_value = "sorry, I cannot help with that"
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with patch("scripts.suggest_helpers.LLMRouter", return_value=mock_router):
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result = suggest_search_terms(["CSM"], RESUME_PATH, BLOCKLIST, USER_PROFILE)
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assert result == {"suggested_titles": [], "suggested_excludes": []}
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def test_suggest_search_terms_raises_on_llm_exhausted():
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from scripts.suggest_helpers import suggest_search_terms
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mock_router = MagicMock()
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mock_router.complete.side_effect = RuntimeError("All LLM backends exhausted")
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with patch("scripts.suggest_helpers.LLMRouter", return_value=mock_router):
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with pytest.raises(RuntimeError, match="All LLM backends exhausted"):
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suggest_search_terms(["CSM"], RESUME_PATH, BLOCKLIST, USER_PROFILE)
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# ── suggest_resume_keywords ───────────────────────────────────────────────────
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CURRENT_KW = {
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"skills": ["Customer Success", "SQL"],
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"domains": ["B2B SaaS"],
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"keywords": ["NPS"],
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}
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def test_suggest_resume_keywords_returns_all_three_categories():
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from scripts.suggest_helpers import suggest_resume_keywords
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payload = {
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"skills": ["Project Management"],
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"domains": ["EdTech"],
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"keywords": ["churn prevention"],
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}
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with _mock_llm(payload):
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result = suggest_resume_keywords(RESUME_PATH, CURRENT_KW)
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assert "skills" in result
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assert "domains" in result
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assert "keywords" in result
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def test_suggest_resume_keywords_excludes_already_selected():
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from scripts.suggest_helpers import suggest_resume_keywords
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with _mock_llm({"skills": [], "domains": [], "keywords": []}) as mock_cls:
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suggest_resume_keywords(RESUME_PATH, CURRENT_KW)
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prompt_sent = mock_cls.return_value.complete.call_args[0][0]
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# Already-selected tags should appear in the prompt so LLM knows to skip them
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assert "Customer Success" in prompt_sent
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assert "NPS" in prompt_sent
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def test_suggest_resume_keywords_returns_empty_on_bad_json():
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from scripts.suggest_helpers import suggest_resume_keywords
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mock_router = MagicMock()
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mock_router.complete.return_value = "I cannot assist."
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with patch("scripts.suggest_helpers.LLMRouter", return_value=mock_router):
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result = suggest_resume_keywords(RESUME_PATH, CURRENT_KW)
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assert result == {"skills": [], "domains": [], "keywords": []}
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def test_suggest_resume_keywords_raises_on_llm_exhausted():
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from scripts.suggest_helpers import suggest_resume_keywords
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mock_router = MagicMock()
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mock_router.complete.side_effect = RuntimeError("All LLM backends exhausted")
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with patch("scripts.suggest_helpers.LLMRouter", return_value=mock_router):
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with pytest.raises(RuntimeError, match="All LLM backends exhausted"):
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suggest_resume_keywords(RESUME_PATH, CURRENT_KW)
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