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import json
import sys
from tiny_trigger.automation import AutomationDocument
from tiny_trigger.llm import (
DEFAULT_ANTHROPIC_MODEL,
DEFAULT_OPENAI_MODEL,
SYSTEM_PROMPT,
_anthropic_message,
_build_user_prompt,
_chat_payload,
_clean_api_key,
_openai_chat_completion,
compile_automation_with_anthropic,
compile_automation_with_openai,
compile_automation_with_replicate,
_validate_compile_result,
extract_json_object,
)
def test_extract_json_object_from_fenced_response() -> None:
raw = """```json
{"rules": [{"name": "notify", "when": {"all": [{"present": {"label": "package"}}]}, "then": [{"type": "simulate", "name": "notify"}]}]}
```"""
data = json.loads(extract_json_object(raw))
document = AutomationDocument.model_validate(data)
assert document.rules[0].name == "notify"
def test_openai_payload_uses_json_object() -> None:
payload = _chat_payload(model="qwen", user_prompt="compile this", response_format="json_object")
assert payload["response_format"] == {"type": "json_object"}
assert payload["max_tokens"] == 512
def test_prompt_includes_validation_schema() -> None:
prompt = _build_user_prompt(instruction="if package at door notify me", class_names=["package", "door"])
assert "Available detection labels: package, door" in prompt
assert "Full validation schema" in prompt
assert "AutomationDocument" in prompt
def test_prompt_teaches_near_relations() -> None:
prompt = _build_user_prompt(
instruction="If person near steering wheel then turn on pc.",
class_names=["person", "steering wheel"],
)
assert '"near": {"a": "person", "b": "steering wheel", "max_gap_percent": 16}' in prompt
assert "Do not replace a near relation with two present conditions." in SYSTEM_PROMPT
assert "Use max_gap_percent for near/far box-edge distance." in SYSTEM_PROMPT
assert "Use state gates in gate: enabled, cooldown." in SYSTEM_PROMPT
assert 'Use trigger.on="enter" for state assertions' in SYSTEM_PROMPT
assert 'trigger.on="change"' in SYSTEM_PROMPT
assert '"trigger": {"on": "enter"}' in prompt
assert '"gate": {"enabled": true}' in prompt
assert '"gate": {"enabled": true, "cooldown": {"key": "package-at-door", "minutes": 15}}' in prompt
def test_api_key_rejects_pasted_traceback() -> None:
try:
_clean_api_key(' File "/tmp/example.py", line 1\nrequests.exceptions.HTTPError', "Anthropic")
except ValueError as exc:
assert "not an API key" in str(exc) or "single-line token" in str(exc)
else:
raise AssertionError("Tracebacks should not be accepted as API keys")
def test_invalid_empty_object_fails_validation() -> None:
try:
_validate_compile_result("{}")
except Exception as exc:
assert "rules" in str(exc)
else:
raise AssertionError("{} should not validate as an automation document")
def test_replicate_compile_uses_stream_api(monkeypatch) -> None:
class Replicate:
class Client:
def __init__(self, api_token):
assert api_token == "test-token"
def stream(self, model, input):
assert model == "openai/gpt-5.2"
assert input["messages"] == []
assert input["verbosity"] == "medium"
assert input["reasoning_effort"] == "low"
assert "Return only the JSON object." in input["prompt"]
yield '{"rules":[{"name":"notify","when":{"all":[{"present":{"label":"person"}}]},'
yield '"then":[{"type":"simulate","name":"notify"}]}]}'
monkeypatch.setitem(sys.modules, "replicate", Replicate)
result = compile_automation_with_replicate(
instruction="if person present notify",
class_names=["person"],
api_token="test-token",
model="openai/gpt-5.2",
reasoning_effort="low",
)
assert result.document.rules[0].name == "notify"
def test_replicate_invalid_json_does_not_auto_repair(monkeypatch) -> None:
class Replicate:
class Client:
calls = 0
def __init__(self, api_token):
return None
def stream(self, model, input):
self.__class__.calls += 1
yield "not json"
monkeypatch.setitem(sys.modules, "replicate", Replicate)
try:
compile_automation_with_replicate(
instruction="if person present notify",
class_names=["person"],
api_token="test-token",
model="openai/gpt-5.2",
)
except ValueError as exc:
assert "Raw response: not json" in str(exc)
else:
raise AssertionError("Invalid provider output should fail validation")
assert Replicate.Client.calls == 1
def test_replicate_rate_limit_error_is_human_readable(monkeypatch) -> None:
class RateLimitError(Exception):
status = 429
detail = "Request was throttled. Your rate limit"
class Replicate:
class Client:
def __init__(self, api_token):
return None
def stream(self, model, input):
raise RateLimitError()
yield ""
monkeypatch.setitem(sys.modules, "replicate", Replicate)
try:
compile_automation_with_replicate(
instruction="if person present notify",
class_names=["person"],
api_token="test-token",
model="openai/gpt-5.2",
)
except RuntimeError as exc:
message = str(exc)
assert "Replicate API request failed" in message
assert "status 429" in message
assert "provider rate limit" in message
else:
raise AssertionError("Rate limits should surface as RuntimeError")
def test_openai_compile_uses_chat_completions(monkeypatch) -> None:
monkeypatch.setitem(sys.modules, "openai", None)
class Response:
def raise_for_status(self) -> None:
return None
def json(self):
return {
"choices": [
{
"message": {
"content": (
'{"rules":[{"name":"notify","when":{"all":[{"present":{"label":"person"}}]},'
'"then":[{"type":"simulate","name":"notify"}]}]}'
)
}
}
]
}
class Requests:
@staticmethod
def post(endpoint, headers, json, timeout):
assert endpoint == "https://api.openai.com/v1/chat/completions"
assert headers["Authorization"] == "Bearer test-key"
assert json["model"] == "gpt-test"
assert json["response_format"] == {"type": "json_object"}
assert timeout == 120.0
return Response()
monkeypatch.setitem(sys.modules, "requests", Requests)
result = compile_automation_with_openai(
instruction="if person present notify",
class_names=["person"],
api_key="test-key",
model="gpt-test",
)
assert result.document.rules[0].name == "notify"
def test_openai_sdk_completion() -> None:
class Message:
content = '{"rules":[{"name":"notify","when":{"all":[{"present":{"label":"person"}}]},"then":[{"type":"simulate","name":"notify"}]}]}'
class Choice:
message = Message()
class Response:
choices = [Choice()]
class Completions:
@staticmethod
def create(**payload):
assert payload["model"] == DEFAULT_OPENAI_MODEL
assert payload["response_format"] == {"type": "json_object"}
return Response()
class Chat:
completions = Completions()
class OpenAIClient:
chat = Chat()
def __init__(self, api_key, timeout):
assert api_key == "test-key"
assert timeout == 120.0
class OpenAIModule:
OpenAI = OpenAIClient
raw = _openai_chat_completion(
api_key="test-key",
model=DEFAULT_OPENAI_MODEL,
user_prompt="compile",
timeout=120.0,
openai_module=OpenAIModule,
)
assert json.loads(raw)["rules"][0]["name"] == "notify"
def test_anthropic_compile_uses_messages_api(monkeypatch) -> None:
monkeypatch.setitem(sys.modules, "anthropic", None)
class Response:
def raise_for_status(self) -> None:
return None
def json(self):
return {
"content": [
{
"type": "text",
"text": (
'{"rules":[{"name":"notify","when":{"all":[{"present":{"label":"person"}}]},'
'"then":[{"type":"simulate","name":"notify"}]}]}'
),
}
]
}
class Requests:
@staticmethod
def post(endpoint, headers, json, timeout):
assert endpoint == "https://api.anthropic.com/v1/messages"
assert headers["x-api-key"] == "test-key"
assert headers["anthropic-version"] == "2023-06-01"
assert json["model"] == "claude-test"
assert json["system"] == SYSTEM_PROMPT
assert timeout == 120.0
return Response()
monkeypatch.setitem(sys.modules, "requests", Requests)
result = compile_automation_with_anthropic(
instruction="if person present notify",
class_names=["person"],
api_key="test-key",
model="claude-test",
)
assert result.document.rules[0].name == "notify"
def test_anthropic_sdk_message() -> None:
class TextBlock:
text = '{"rules":[{"name":"notify","when":{"all":[{"present":{"label":"person"}}]},"then":[{"type":"simulate","name":"notify"}]}]}'
class Response:
content = [TextBlock()]
class Messages:
@staticmethod
def create(**payload):
assert payload["model"] == DEFAULT_ANTHROPIC_MODEL
assert payload["system"] == SYSTEM_PROMPT
return Response()
class AnthropicClient:
messages = Messages()
def __init__(self, api_key, timeout):
assert api_key == "test-key"
assert timeout == 120.0
class AnthropicModule:
Anthropic = AnthropicClient
raw = _anthropic_message(
api_key="test-key",
model=DEFAULT_ANTHROPIC_MODEL,
user_prompt="compile",
timeout=120.0,
anthropic_module=AnthropicModule,
)
assert json.loads(raw)["rules"][0]["name"] == "notify"
|