PROMPT_PAIRS = [
(
    		"Its snowing. Go straight through the intersection, following the right before left rule at unmarked intersection",
    	ParsedInstructionModel(
       	 	eventSequence=[
            		EventType(speed=FloatValue(value=10.0, operator="LT", unit="kph")),
            	EventType(osmRouteManeuver="RIGHT_BEFORE_LEFT"),
      	      		EventType(speed=FloatValue(value=25.0, operator="LT", unit="kph")),
       	 	],
        	turnSignal="OFF",
        	weatherCondition="Snow",
		),
    	),
(
    		"stop at the stop sign, give way to the traffic and then turn right",
    	ParsedInstructionModel(
        	eventSequence=[
       	     	EventType(osmRouteRestriction="STOP"),
            	EventType(turnSignal="RIGHT"),
       	     	EventType(speed=FloatValue(value=5.0, operator="LT", unit="kph")),
            	EventType(osmRouteManeuver="RIGHT"),
        	],
    		),
	),
	(
    		"parking on a hill in the rain on a two lane road",
    	ParsedInstructionModel(
       	 	osmLaneCount=[IntValue(value=2, operator="EQ")],
        		osmRouteFeature=["PARKING", "HILL_DRIVE"],
        	weatherCondition="Rain",
    		),
	),
]

EXAMPLES = ""
for idx, (instructions, parsed) in enumerate(PROMPT_PAIRS):
	parsed_json = parsed.model_dump_json(exclude_none=True)
	update = f"instructions: {instructions.lower()} output: {parsed_json}"
	EXAMPLES += update

from groq import Groq
client = Groq(api_key=os.environ.get("GROQ_API_KEY"))

chat_completion = client.chat.completions.create(
            	messages=[
                	{
                    	"role": "system",
                    	"content": prompt_template.format(examples=EXAMPLES, schema=json.dumps(ParsedInstructionModel.model_json_schema(), indent=2))
                	},
                	{
                    	"role": "user",
                    	"content": f"instructions : its daytime. drive to the traffic lights and when it turns green make a left turn",
                	},
            	],
            	model=config["groq"]["model"],
            	temperature=config["groq"]['temperature'],
            	stream=False,
            	seed=config["groq"]['seed'],
            	response_format={"type": config['groq']['response_format']},
        	)

        	parsed_obj = ParsedInstructionModel.model_validate_json(chat_completion.choices[0].message.content)
        	parsed_obj = parsed_obj.model_dump(exclude_none=True)