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import json_tricks

from .env_vars import trial_env_vars
from . import platform


__all__ = [
    'get_next_parameter',
    'get_current_parameter',
    'report_intermediate_result',
    'report_final_result',
    'get_experiment_id',
    'get_trial_id',
    'get_sequence_id'
]


_params = None
_experiment_id = platform.get_experiment_id()
_trial_id = platform.get_trial_id()
_sequence_id = platform.get_sequence_id()


def get_next_parameter():
    """Returns a set of (hyper-)paremeters generated by Tuner."""
    global _params
    _params = platform.get_next_parameter()
    if _params is None:
        return None
    return _params['parameters']

def get_current_parameter(tag=None):
    global _params
    if _params is None:
        return None
    if tag is None:
        return _params['parameters']
    return _params['parameters'][tag]

def get_experiment_id():
    return _experiment_id

def get_trial_id():
    return _trial_id

def get_sequence_id():
    return _sequence_id

_intermediate_seq = 0

def report_intermediate_result(metric):
    """Reports intermediate result to Assessor.
    metric: serializable object.
    """
    global _intermediate_seq
    assert _params is not None, 'nni.get_next_parameter() needs to be called before report_intermediate_result'
    metric = json_tricks.dumps({
        'parameter_id': _params['parameter_id'],
        'trial_job_id': trial_env_vars.NNI_TRIAL_JOB_ID,
        'type': 'PERIODICAL',
        'sequence': _intermediate_seq,
        'value': metric
    })
    _intermediate_seq += 1
    platform.send_metric(metric)


def report_final_result(metric):
    """Reports final result to tuner.
    metric: serializable object.
    """
    assert _params is not None, 'nni.get_next_parameter() needs to be called before report_final_result'
    metric = json_tricks.dumps({
        'parameter_id': _params['parameter_id'],
        'trial_job_id': trial_env_vars.NNI_TRIAL_JOB_ID,
        'type': 'FINAL',
        'sequence': 0,  # TODO: may be unnecessary
        'value': metric
    })
    platform.send_metric(metric)
