# -*- coding: utf-8 -*-
"""
Pydantic schemas for TOAR database

"""

from typing import List

from pydantic import BaseModel, Json, validator
import datetime as dt
from toardb.generic.models import RS_enum, RC_enum
from .models import DA_enum, SF_enum, AT_enum, DS_enum, MM_enum
from toardb.variables.schemas import Variable 
#from toardb.stationmeta.schemas import StationmetaCoreCreate

# ======== Timeseries =========

class TimeseriesCoreBase(BaseModel):
    id: int = None
    label: str
    order: int
    access_rights: str
    sampling_frequency: str
    aggregation: str
    source: str
    data_start_date: dt.datetime
    data_end_date: dt.datetime
    measurement_method: str
    sampling_height: float
    date_added: dt.datetime
    date_modified: dt.datetime
    station_id: int
    variable_id: int
    programme_id: int
    additional_metadata: Json

    @validator('access_rights')
    def check_access_rights(cls, v):
        return tuple(filter(lambda x: x.value == int(v), DA_enum))[0].string

    @validator('sampling_frequency')
    def check_sampling_frequency(cls, v):
        return tuple(filter(lambda x: x.value == int(v), SF_enum))[0].string

    @validator('aggregation')
    def check_aggregation(cls, v):
        return tuple(filter(lambda x: x.value == int(v), AT_enum))[0].string

    @validator('source')
    def check_source(cls, v):
        return tuple(filter(lambda x: x.value == int(v), DS_enum))[0].string

    @validator('measurement_method')
    def check_measurement_method(cls, v):
        return tuple(filter(lambda x: x.value == int(v), MM_enum))[0].string


class TimeseriesCoreCreate(TimeseriesCoreBase):
    pass

    @validator('access_rights')
    def check_access_rights(cls, v):
        if tuple(filter(lambda x: x.string == v, DA_enum)):
            return v
        else:
            raise ValueError(f"data access rights not known: {v}")

    @validator('sampling_frequency')
    def check_sampling_frequency(cls, v):
        if tuple(filter(lambda x: x.string == v, SF_enum)):
            return v
        else:
            raise ValueError(f"sampling frequency not known: {v}")

    @validator('aggregation')
    def check_aggregation(cls, v):
        if tuple(filter(lambda x: x.string == v, AT_enum)):
            return v
        else:
            raise ValueError(f"aggregation type not known: {v}")

    @validator('source')
    def check_source(cls, v):
        if tuple(filter(lambda x: x.string == v, DS_enum)):
            return v
        else:
            raise ValueError(f"data source not known: {v}")

    @validator('measurement_method')
    def check_measurement_method(cls, v):
        if tuple(filter(lambda x: x.string == v, MM_enum)):
            return v
        else:
            raise ValueError(f"measurement method not known: {v}")


class TimeseriesCore(TimeseriesCoreBase):
    id: int

    class Config:
        orm_mode = True

# ======== TimeseriesRole =========

class TimeseriesRoleBase(BaseModel):
    id: int = None
    role: str
    status: str
    person_id: int

    @validator('role')
    def check_role(cls, v):
        return tuple(filter(lambda x: x.value == int(v), RC_enum))[0].string

    @validator('status')
    def check_status(cls, v):
        return tuple(filter(lambda x: x.value == int(v), RS_enum))[0].string


class TimeseriesRoleCreate(TimeseriesRoleBase):
    pass

    @validator('role')
    def check_role(cls, v):
        if tuple(filter(lambda x: x.string == v, RC_enum)):
            return v
        else:
            raise ValueError(f"role code not known: {v}")

    @validator('status')
    def check_status(cls, v):
        if tuple(filter(lambda x: x.string == v, RS_enum)):
            return v
        else:
            raise ValueError(f"role status not known: {v}")


class TimeseriesRole(TimeseriesRoleBase):
    id: int

    class Config:
        orm_mode = True

# ======== TimeseriesAnnotation =========

class TimeseriesAnnotationBase(BaseModel):
    id: int = None
    kind: int
    text: str
    date_added: dt.datetime
    approved: bool
    contributor_id: int
    timeseries_id: int


class TimeseriesAnnotationCreate(TimeseriesAnnotationBase):
    pass


class TimeseriesAnnotation(TimeseriesAnnotationBase):
    id: int

    class Config:
        orm_mode = True

# ======== TimeseriesProgramme =========

class TimeseriesProgrammeBase(BaseModel):
    id: int = None
    name: str
    longname: str
    homepage: str
    description: str


class TimeseriesProgrammeCreate(TimeseriesProgrammeBase):
    pass


class TimeseriesProgramme(TimeseriesProgrammeBase):
    id: int

    class Config:
        orm_mode = True

# ======== for nested view/upload =========

class TimeseriesBase(TimeseriesCoreBase):
    roles: List[TimeseriesRole] = None
    annotations: List[TimeseriesAnnotation] = None
    variable: Variable
#   station: StationmetaCoreCreate
    programme: TimeseriesProgramme

    class Config:
        orm_mode = True

class TimeseriesCreate(TimeseriesCoreCreate):
    roles: List[TimeseriesRoleCreate] = None
    annotations: List[TimeseriesAnnotation] = None

    class Config:
        orm_mode = True


class Timeseries(TimeseriesBase):
    id: int

    class Config:
        orm_mode = True