v0.24.0: Claude Haiku tag suggestions on propose-RFC (roadmap #27)
The §9.1 Slice-2 AI-suggested tag chips, deferred since the propose modal landed, now wired up. As the propose-RFC draft fills in, the backend asks Claude Haiku for tags drawn ONLY from the corpus's existing tag set (the de-facto taxonomy — v1 tags are free-form chip input, there is no curated list), surfaced as clickable suggestion chips. Nothing auto-applies; the user clicks to add. Backend: - tag_suggest.py: universe gather (distinct corpus tags, most-common first), Haiku prompt + tolerant reply parser (drops invented tags, dedupes, clamps confidence), in-process per-user rate limit. - providers.construct_haiku(): dedicated Haiku provider from the operator key, independent of ENABLED_MODELS — tag suggestion always uses the cheap+fast model. No RFC slug at propose time, so the §6.7 funder path does not apply. - POST /api/rfcs/suggest-tags: contributor-gated, rate-limited. Degrades to an empty list (never an error) when no Anthropic key is bound, the corpus has no tags, or the draft is empty. Frontend: - ProposeModal: debounced suggestion fetch (700ms, stale-response guarded), clickable suggestion chips, and the required inline disclosure that the draft text is sent to Anthropic. - api.suggestTags(): forgiving — any non-OK resolves to []. Tests: 11 new (vertical contributor-gating / filtering / no-key / empty-corpus / 429, plus units for gather, parser tolerance, max, short-circuit, provider-failure). Full suite 351 green. New secret on deploy: ANTHROPIC_API_KEY (see CHANGELOG Upgrade steps). Disclosure copy wants a counsel pass before deploy, per #22 discipline. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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"""Vertical + unit coverage for roadmap #27 (rfc-app v0.24.0): Claude
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Haiku tag suggestions on the propose-RFC modal.
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Reuses the FakeGitea + session helpers from test_propose_vertical.py.
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The Anthropic call is never made for real — tests monkeypatch the
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`tag_suggest.haiku_provider` seam with a stub provider whose `send`
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returns canned text, so the HTTP contract is exercised without a key.
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Proves:
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(a) the endpoint is contributor-gated (anon → 401);
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(b) a contributor gets suggestions, filtered to the corpus tag
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universe, with invented tags dropped;
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(c) no Anthropic key bound → empty list, not an error;
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(d) an empty corpus → empty list (model is never even called);
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(e) the per-user rate limit surfaces as a 429;
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plus unit coverage of the universe gather, the reply parser's tolerance,
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and the suggest() orchestration short-circuits.
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"""
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from __future__ import annotations
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import json
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import pytest
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from test_propose_vertical import ( # noqa: F401
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FakeGitea,
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app_with_fake_gitea,
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provision_user_row,
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sign_in_as,
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tmp_env,
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)
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# ---------------------------------------------------------------------------
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# Helpers
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# ---------------------------------------------------------------------------
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class StubProvider:
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"""A BaseProvider stand-in whose send() returns a fixed string (or
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raises, to exercise the graceful-failure path)."""
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def __init__(self, reply: str = "[]", *, raises: bool = False):
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self.reply = reply
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self.raises = raises
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self.calls: list[tuple[str, list]] = []
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def send(self, system, history):
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self.calls.append((system, history))
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if self.raises:
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raise RuntimeError("boom")
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return self.reply
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def _seed_tags(slug: str, title: str, tags: list[str], state: str = "active") -> None:
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from app import db
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db.conn().execute(
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"INSERT OR REPLACE INTO cached_rfcs (slug, title, state, tags_json) VALUES (?, ?, ?, ?)",
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(slug, title, state, json.dumps(tags)),
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)
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def _use_provider(monkeypatch, provider) -> None:
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monkeypatch.setattr("app.tag_suggest.haiku_provider", lambda config: provider)
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@pytest.fixture(autouse=True)
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def _reset_rate_limits():
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from app import tag_suggest
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tag_suggest.reset_rate_limits()
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yield
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tag_suggest.reset_rate_limits()
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# ---------------------------------------------------------------------------
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# Endpoint (vertical)
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# ---------------------------------------------------------------------------
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def test_anonymous_cannot_suggest(app_with_fake_gitea):
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from fastapi.testclient import TestClient
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app, _fake = app_with_fake_gitea
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with TestClient(app) as client:
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r = client.post("/api/rfcs/suggest-tags", json={"title": "X"})
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assert r.status_code == 401
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def test_contributor_gets_filtered_suggestions(app_with_fake_gitea, monkeypatch):
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from fastapi.testclient import TestClient
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app, _fake = app_with_fake_gitea
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with TestClient(app) as client:
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provision_user_row(user_id=2, login="alice", role="contributor")
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sign_in_as(client, user_id=2, gitea_login="alice", display_name="Alice", role="contributor")
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_seed_tags("ohm", "OHM", ["identity", "schema", "consent"])
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_seed_tags("other", "Other", ["identity", "governance"])
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# Model returns two real tags (one lowercased to test canonical
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# mapping is exact-set anyway), plus one invented tag that MUST
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# be dropped.
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reply = json.dumps([
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{"tag": "identity", "confidence": 0.9},
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{"tag": "consent", "confidence": 0.7},
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{"tag": "totally-invented", "confidence": 0.99},
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])
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stub = StubProvider(reply=reply)
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_use_provider(monkeypatch, stub)
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r = client.post("/api/rfcs/suggest-tags", json={
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"title": "Consent and identity",
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"pitch": "We need a shared definition of consent tied to identity.",
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})
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assert r.status_code == 200, r.text
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tags = [s["tag"] for s in r.json()["suggestions"]]
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assert tags == ["identity", "consent"]
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# the model was actually invoked
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assert len(stub.calls) == 1
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# the universe (deduped distinct tags) was handed to the model
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user_msg = stub.calls[0][1][0]["content"]
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assert "identity" in user_msg and "governance" in user_msg
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def test_no_api_key_returns_empty(app_with_fake_gitea, monkeypatch):
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from fastapi.testclient import TestClient
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app, _fake = app_with_fake_gitea
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with TestClient(app) as client:
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provision_user_row(user_id=2, login="alice", role="contributor")
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sign_in_as(client, user_id=2, gitea_login="alice", display_name="Alice", role="contributor")
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_seed_tags("ohm", "OHM", ["identity"])
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# No key bound (test env has no ANTHROPIC_API_KEY) → provider None.
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# (Explicitly assert the seam returns None given the test config.)
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from app import tag_suggest
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assert tag_suggest.haiku_provider(app.state.config) is None
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r = client.post("/api/rfcs/suggest-tags", json={"title": "X", "pitch": "y"})
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assert r.status_code == 200, r.text
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assert r.json()["suggestions"] == []
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def test_empty_corpus_returns_empty_without_calling_model(app_with_fake_gitea, monkeypatch):
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from fastapi.testclient import TestClient
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app, _fake = app_with_fake_gitea
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with TestClient(app) as client:
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provision_user_row(user_id=2, login="alice", role="contributor")
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sign_in_as(client, user_id=2, gitea_login="alice", display_name="Alice", role="contributor")
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stub = StubProvider(reply=json.dumps([{"tag": "x", "confidence": 1}]))
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_use_provider(monkeypatch, stub)
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# No cached_rfcs rows → empty universe → suggest() short-circuits.
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r = client.post("/api/rfcs/suggest-tags", json={"title": "X", "pitch": "y"})
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assert r.status_code == 200, r.text
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assert r.json()["suggestions"] == []
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assert stub.calls == [] # model never invoked on an empty universe
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def test_rate_limit_surfaces_429(app_with_fake_gitea, monkeypatch):
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from fastapi.testclient import TestClient
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monkeypatch.setenv("TAG_SUGGEST_RATE_MAX", "2")
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monkeypatch.setenv("TAG_SUGGEST_RATE_WINDOW_SECONDS", "60")
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app, _fake = app_with_fake_gitea
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with TestClient(app) as client:
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provision_user_row(user_id=2, login="alice", role="contributor")
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sign_in_as(client, user_id=2, gitea_login="alice", display_name="Alice", role="contributor")
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_seed_tags("ohm", "OHM", ["identity"])
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_use_provider(monkeypatch, StubProvider(reply="[]"))
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body = {"title": "X", "pitch": "y"}
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assert client.post("/api/rfcs/suggest-tags", json=body).status_code == 200
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assert client.post("/api/rfcs/suggest-tags", json=body).status_code == 200
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# Third call inside the window trips the limit.
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assert client.post("/api/rfcs/suggest-tags", json=body).status_code == 429
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# ---------------------------------------------------------------------------
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# Units
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# ---------------------------------------------------------------------------
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def test_gather_tag_universe_dedupes_and_ranks(app_with_fake_gitea):
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from fastapi.testclient import TestClient
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from app import tag_suggest
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app, _fake = app_with_fake_gitea
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# The db is initialized in the app's lifespan; enter the client
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# context so cached_rfcs exists before we seed it directly.
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with TestClient(app):
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_seed_tags("a", "A", ["identity", "schema"])
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_seed_tags("b", "B", ["identity", " schema ", "consent", ""]) # whitespace + empty
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_seed_tags("c", "C", ["identity"])
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universe = tag_suggest.gather_tag_universe()
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# identity (3) > schema (2) > consent (1); whitespace trimmed/merged,
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# empties dropped.
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assert universe == ["identity", "schema", "consent"]
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def test_parse_reply_tolerates_junk():
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from app import tag_suggest
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universe = ["identity", "schema", "consent"]
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# Prose around the JSON, an invented tag, a bare string, a dup, a
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# missing confidence, and a garbage confidence.
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text = (
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"Sure! Here are the tags:\n"
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'[{"tag": "identity", "confidence": 0.9}, '
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'{"tag": "invented", "confidence": 1}, '
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'"schema", '
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'{"tag": "identity", "confidence": 0.5}, '
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'{"tag": "consent"}, '
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'{"tag": "consent", "confidence": "high"}]\n'
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"Hope that helps!"
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)
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out = tag_suggest.parse_reply(text, universe, max_suggestions=6)
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tags = [s["tag"] for s in out]
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assert tags == ["identity", "schema", "consent"] # invented dropped, deduped
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by_tag = {s["tag"]: s["confidence"] for s in out}
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assert by_tag["identity"] == 0.9
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assert by_tag["schema"] == 0.5 # bare string defaults to 0.5
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assert by_tag["consent"] == 0.5 # missing/garbage confidence → 0.5
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def test_parse_reply_empty_on_unparseable():
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from app import tag_suggest
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assert tag_suggest.parse_reply("no json here", ["a"], 6) == []
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assert tag_suggest.parse_reply("", ["a"], 6) == []
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assert tag_suggest.parse_reply("[]", ["a"], 6) == []
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def test_parse_reply_respects_max():
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from app import tag_suggest
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universe = ["a", "b", "c", "d", "e"]
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text = json.dumps([{"tag": t, "confidence": 0.5} for t in universe])
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out = tag_suggest.parse_reply(text, universe, max_suggestions=3)
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assert [s["tag"] for s in out] == ["a", "b", "c"]
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def test_suggest_short_circuits_empty_draft():
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from app import tag_suggest
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stub = StubProvider(reply=json.dumps([{"tag": "a", "confidence": 1}]))
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draft = tag_suggest.Draft(title=" ", pitch="", use_case="")
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assert tag_suggest.suggest(stub, draft, ["a"]) == []
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assert stub.calls == [] # never called for an empty draft
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def test_suggest_returns_empty_on_provider_failure():
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from app import tag_suggest
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stub = StubProvider(raises=True)
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draft = tag_suggest.Draft(title="Real title", pitch="a reason")
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assert tag_suggest.suggest(stub, draft, ["identity"]) == []
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