class PageBase(BaseModel):
"""
page: int 当前页 默认 1
pageSize: int 当前分页长度 默认 10
"""
page: int = 1
pageSize: conint(le=50) = 10 # 限制最大长度小于等于 50 默认10
class TargetLevel(BaseModel):
"""
The tier level to consider for the target.
Level 0 has the best resolution (largest image, basis of the image pyramid).
Maximum admissible tier level depends on image.
"""
__root__: conint(ge=0)
class Page(BasePage[T], Generic[T]):
page: conint(ge=0) # type: ignore
size: conint(gt=0) # type: ignore
@classmethod
def create(cls, items: Sequence[T], total: int,
params: AbstractParams) -> Page[T]:
if not isinstance(params, PaginationParams):
raise ValueError("Page should be used with PaginationParams")
return cls(
total=total,
items=items,
page=params.page,
size=params.size,
)
class TargetZoom(BaseModel):
"""
The zoom level to consider for the target.
Zoom 0 has the worst resolution (smallest image, top of the image pyramid).
Maximum admissible zoom level depends on image.
"""
__root__: conint(ge=0)
class AnnotationBgTransparency(BaseModel):
"""
The background transparency. 100 means transparent background.
When transparency is used, the target content type must be
an image format supporting transparency.
"""
__root__: conint(ge=0, le=100) = 0
async def new(
cls,
text: str,
*,
size: conint( # type:ignore
strict=True,
gt=Config["qrcode"]["min-size"].as_number(), # noqa:F821
lt=Config["qrcode"]["max-size"].as_number(), # noqa:F821
) = 200,
logo: Optional[HostUrl] = None,
level: QRCodeLevel = QRCodeLevel.M,
bgcolor: Color = Color("FFFFFF"),
fgcolor: Color = Color("000000"),
):
icon_stream = None
if logo is not None:
async with BaseNetClient() as client:
response = await client.get(
logo, headers={"user-agent": "HibiAPI@GitHub"}, timeout=6)
response.raise_for_status()
icon_stream = BytesIO(response.content)
return cls(
data=text,
logo=logo,
level=level,
size=size,
path=await cls._generate(
text,
size=size,
level=level,
icon_stream=icon_stream,
bgcolor=bgcolor.as_hex(),
fgcolor=fgcolor.as_hex(),
),
)
def query_all(db: Session,
*,
page: int = 1,
page_size: conint(le=50) = 10) -> dict:
"""
查询数据列表
:param db:
:param page:
:param page_size:
:return:
"""
temp_page = (page - 1) * page_size
# 查询数量
total = db.query(func.count(MallCategory.id)).filter(
MallCategory.is_delete == 0,
MallCategory.parent_id.is_(None)).scalar()
# 查询结果集
query_obj = db.query(MallCategory).filter(
MallCategory.is_delete == 0, MallCategory.parent_id.is_(
None)).offset(temp_page).limit(page_size).all()
items = [{
"id": obj.id,
'create_time': obj.create_time.strftime('%Y-%m-%d %H:%M:%S'),
"name": obj.name,
"front_desc": obj.front_desc,
"sort_order": obj.sort_order,
"icon_url": obj.icon_url,
"enabled": obj.enabled
} for obj in query_obj]
return {"items": items, "total": total}
class LoggingConfig(pydantic.BaseModel):
version: pydantic.conint(ge=1, le=1) = 1
disable_existing_loggers: bool = True
incremental: bool = False
formatters: Dict[str, Dict[str, str]] = {
"access": {
"()":
"uvicorn.logging.AccessFormatter",
"fmt":
'%(levelprefix)s %(client_addr)s - "%(request_line)s" %(status_code)s',
}
}
loggers: Dict[str, dict] = {"uvicorn.access": {"handlers": ["access"]}}
handlers: Dict[str, Dict[str, str]] = {
"default": {
"level": "DEBUG",
"class": "logging.StreamHandler",
"stream": "ext://sys.stdout"
},
"access": {
"formatter": "access",
"class": "logging.StreamHandler",
"stream": "ext://sys.stdout",
}
}
root: dict = {"level": "DEBUG", "handlers": ["default"]}
async def get_transactions(
db: DB = Depends(db),
user: Account = Depends(get_current_user),
dt_from: Optional[datetime] = None,
dt_to: Optional[datetime] = None,
limit: Optional[conint(le=1000)] = 100,
order: Optional[Ordering] = Ordering.desc,
) -> list[Transaction]:
"""
Get transaction history of the authenticated account
"""
if dt_from is None and dt_to is None:
dt_to = datetime.utcnow().replace(microsecond=0)
dt_from = dt_to.replace(hour=0, minute=0, second=0)
error = None
if dt_from is not None and dt_to is not None and dt_from > dt_to:
error = "dt_from must be earlier than dt_to"
elif order is Ordering.desc and dt_to is None:
error = "Specify dt_to with descending order"
elif order is Ordering.asc and dt_from is None:
error = "Specify dt_from with ascending order"
if error:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail={"msg": error},
)
return await db.get_transactions(user.id, dt_from, dt_to, limit, order)
class FilterByMoleFractionSchema(CurationComponentSchema):
type: Literal["FilterByMoleFraction"] = "FilterByMoleFraction"
mole_fraction_ranges: Dict[conint(gt=1), List[List[MoleFractionRange]]] = Field(
...,
description="The ranges of mole fractions to retain. Each key in the "
"dictionary corresponds to a number of components in the system. Each value "
"is a list of the allowed mole fraction ranges for all but one of the "
"components, i.e for a binary system, the allowed mole fraction for only the "
"first component must be specified.",
)
@validator("mole_fraction_ranges")
def _validate_ranges(cls, value: Dict[int, List[List[MoleFractionRange]]]):
for n_components, ranges in value.items():
assert len(ranges) == n_components - 1
assert all(
mole_fraction_range[0] < mole_fraction_range[1]
for component_ranges in ranges
for mole_fraction_range in component_ranges
)
return value
class ConvertExcessDensityDataSchema(CurationComponentSchema):
type: Literal[
"ConvertExcessDensityDataSchema"] = "ConvertExcessDensityDataSchema"
temperature_precision: conint(ge=0) = Field(
2,
description=
"The number of decimal places to compare temperatures (K) to "
"within when attempting to identify compatible pure and binary data.",
)
pressure_precision: conint(ge=0) = Field(
1,
description="The number of decimal places to compare pressures (kPa) to "
"within when attempting to identify compatible pure and binary data.",
)
class Problem(BaseModel):
detail: Optional[str] = Field(
None,
description=
'A human readable explanation specific to this occurrence of the\nproblem. You MUST NOT expose internal informations, personal\ndata or implementation details through this field.\n',
example='Request took too long to complete.',
)
instance: Optional[AnyUrl] = Field(
None,
description=
'An absolute URI that identifies the specific occurrence of the problem.\nIt may or may not yield further information if dereferenced.\n',
)
status: Optional[conint(ge=100, lt=600)] = Field(
None,
description=
'The HTTP status code generated by the origin server for this occurrence\nof the problem.\n',
example=503,
)
title: Optional[str] = Field(
None,
description=
'A short, summary of the problem type. Written in english and readable\nfor engineers (usually not suited for non technical stakeholders and\nnot localized); example: Service Unavailable\n',
)
type: Optional[AnyUrl] = Field(
'about:blank',
description=
'An absolute URI that identifies the problem type. When dereferenced,\nit SHOULD provide human-readable documentation for the problem type\n(e.g., using HTML).\n',
example='https://tools.ietf.org/html/rfc7231#section-6.6.4',
)
class CuentaFisica(Cuenta):
"""
Based on:
https://stpmex.zendesk.com/hc/es/articles/360038242071-Registro-de-Cuentas-de-Personas-f%C3%ADsicas
"""
_endpoint: ClassVar[str] = Cuenta._base_endpoint + '/fisica'
_lote_endpoint: ClassVar[str] = Cuenta._base_endpoint + '/fisicas'
nombre: truncated_stp_str(50)
apellidoPaterno: truncated_stp_str(50)
paisNacimiento: Pais
fechaNacimiento: dt.date
apellidoMaterno: Optional[truncated_stp_str(50)] = None
genero: Optional[Genero] = None
# Esperando a que STP agregue Nacido en el Extranjero
entidadFederativa: Optional[EntidadFederativa] = None
actividadEconomica: Optional[conint(ge=28, le=74)] = None
calle: Optional[truncated_stp_str(60)] = None
numeroExterior: Optional[truncated_stp_str(10)] = None
numeroInterior: Optional[truncated_stp_str(5)] = None
colonia: Optional[truncated_stp_str(50)] = None
alcaldiaMunicipio: Optional[truncated_stp_str(50)] = None
cp: Optional[digits(5, 5)] = None
email: Optional[constr(max_length=150)] = None
idIdentificacion: Optional[digits(max_length=20)] = None
telefono: Optional[MxPhoneNumber] = None
class RMGOptions(BaseModel):
"""
A class for validating input.RMG.options arguments
"""
seed_name: str = 'Seed'
save_edge: bool = True
save_html: bool = False
generate_seed_each_iteration: bool = True
save_seed_to_database: bool = False
units: str = 'si'
generate_plots: bool = False
save_simulation_profiles: bool = False
verbose_comments: bool = False
keep_irreversible: bool = False
trimolecular_product_reversible: bool = True
save_seed_modulus: conint(ge=-1) = -1
class Config:
extra = "forbid"
@validator('units', always=True)
def check_units(cls, value):
"""RMGOptions.units validator"""
if value.lower() is not None and value != 'si':
raise ValueError(
f'Currently RMG only supports SI units, got "{value}"')
return value.lower()
class InterfaceLagMemberConfig(VendorIndependentBaseModel):
_modelname = "interface_lag_member_config"
group: conint(ge=1)
protocol: Optional[Literal["lacp", "pagp"]]
mode: LAG_MODE
class Person(BaseModel):
first_name: str = Field(..., description="The person's first name.")
last_name: str = Field(..., description="The person's last name.")
age: Optional[conint(ge=0)] = Field(None, description='Age in years.')
pets: Optional[List[Pet]] = None
comment: Optional[Any] = None
drink: Optional[List[Union[Coffee, Tea]]] = None
class FaceOneSideModel(BaseConfig, DummyDataModel):
"""Data model holding quantities on one side of cell faces normal to one direction."""
nx: conint(gt=0)
ny: conint(gt=0)
dtype: DummyDtype
w: nplike.ndarray
hu: nplike.ndarray
hv: nplike.ndarray
h: nplike.ndarray
u: nplike.ndarray
v: nplike.ndarray
a: nplike.ndarray
flux: WHUHVModel
# validator
_val_arrays = validator("w",
"hu",
"hv",
"h",
"u",
"v",
"a",
"flux",
allow_reuse=True)(_pydantic_val_arrays)
_val_valid_numbers = validator("w",
"hu",
"hv",
"h",
"u",
"v",
"a",
allow_reuse=True)(_pydantic_val_nan_inf)
def __init__(self, nx, ny, dtype):
dtype = DummyDtype.validator(dtype)
super().__init__( # trigger pydantic validation
nx=nx,
ny=ny,
dtype=dtype,
w=nplike.zeros((ny, nx), dtype=dtype),
hu=nplike.zeros((ny, nx), dtype=dtype),
hv=nplike.zeros((ny, nx), dtype=dtype),
h=nplike.zeros((ny, nx), dtype=dtype),
u=nplike.zeros((ny, nx), dtype=dtype),
v=nplike.zeros((ny, nx), dtype=dtype),
a=nplike.zeros((ny, nx), dtype=dtype),
flux=WHUHVModel(nx, ny, dtype))
async def get_posts(
skip: conint(gt=-1) = 0, limit: conint(le=100) = 20, _=Depends(get_user_by_apikey)
):
cursor = (
database.posts.aggregate(
[
{"$match": {"closed_date": {"$eq": None}}},
{"$skip": skip},
{"$limit": limit},
{
"$lookup": {
"from": "votes",
"let": {"id": "$_id"},
"pipeline": [
{"$match": {"$expr": {"$eq": ["$$id", "$post_id"]}}},
{"$group": {"_id": "$vote_type", "count": {"$sum": 1.0}}},
{"$project": {"_id": 0.0, "k": "$_id", "v": "$count"}},
{
"$group": {
"_id": None,
"data": {"$push": {"k": "$k", "v": "$v"}},
}
},
{"$replaceRoot": {"newRoot": {"$arrayToObject": "$data"}}},
],
"as": "votes",
}
},
{
"$project": {
"title": "$title",
"body": "$body",
"date": "$date",
"username": "******",
"closed_date": "$closed_date",
"updated_at": "$updated_at",
"votes": {"$arrayElemAt": ["$votes", 0]},
}
},
]
)
# database.posts.find()
# .sort("date", -1)
# .skip(skip)
# .limit(limit)
)
return [doc async for doc in cursor]
class PostgresSettings(BaseSettings):
# entrypoint
host: str
port: PortInt = 5432
# auth
user: str
password: SecretStr
# database
db: str
# pool connection limits
minsize: conint(ge=1) = 1
maxsize: conint(ge=1) = 50
dsn: Optional[PostgresDsn] = Field(None,
description="Database Source Name")
@validator("maxsize")
@classmethod
def check_size(cls, v, values):
if not (values["minsize"] <= v):
raise ValueError(
f"assert minsize={values['minsize']} <= maxsize={v}")
return v
@validator("dsn", pre=True, always=True)
@classmethod
def autofill_dsn(cls, v, values):
if not v and all(
key in values
for key in ["user", "password", "host", "port", "db"]):
return PostgresDsn.build(
scheme="postgresql",
user=values["user"],
password=values["password"].get_secret_value(),
host=values["host"],
port=f"{values['port']}",
path=f"/{values['db']}",
)
return v
class Config:
case_sensitive = False
env_prefix = "POSTGRES_"
extra = Extra.forbid
class UInt32DoocsChannel(DoocsChannel):
value: conint(strict=True,
ge=0,
le=np.iinfo(np.uint32).max) = 0
class Config:
@staticmethod
def schema_extra(schema, model):
schema['properties']['value']['type'] = '<u4'
class Biome(BaseModel):
id: conint(ge=0) = Field(...,
description="The unique identifier for a biome")
name: str = Field(..., description="The name of a biome")
category: str = Field(..., description="The category of a biome")
temperature: confloat(ge=-1.0, le=2.0) = Field(
..., description="An indicator for the temperature in a biome")
precipitation: str = Field(
..., description="The type of precipitation: none, rain or snow")
depth: float = Field(..., description="The depth of a biome")
dimension: str = Field(
..., description="The dimension of a biome: overworld, nether or end")
displayName: constr(regex=r"\S+") = Field(
..., description="The display name of a biome")
color: conint(ge=0) = Field(..., description="The color in a biome")
rainfall: confloat(ge=0.0, le=1.0) = Field(
..., description="How much rain there is in a biome")
class Effect(BaseModel):
id: conint(ge=0) = Field(...,
description="The unique identifier for an effect")
displayName: str = Field(..., description="The display name of an effect")
name: constr(regex=r"\S+") = Field(...,
description="The name of an effect")
type: EffectType = Field(
..., description="Whether an effect is positive or negative")
class DnsRequestCreateForm(BaseModel):
name: constr(min_length=4, max_length=2048)
source_address: constr(min_length=7, max_length=15)
source_port: conint(ge=0, le=65535)
type: constr(min_length=1, max_length=32)
protocol: constr(min_length=3, max_length=5)
dns_server_name: constr(regex="^[a-zA-Z0-9-_]+$", min_length=4, max_length=254)
raw_request: constr(min_length=1, max_length=16384)
class Meeting(BaseModel):
days: Optional[conlist(conint(ge=0, le=8), max_items=10)]
start: Optional[constr(max_length=10)]
end: Optional[constr(max_length=10)]
f_time: constr(max_length=100)
bldg: constr(max_length=100) # Can be 'TBA'
rm: Optional[constr(max_length=100)]
rm_l: Optional[constr(max_length=200)]
class CharacterSettings(SettingsBaseModel):
# cosmetic
color: Optional[conint(ge=0, le=0xffffff)] = None
embed_image: bool = True
# gameplay
crit_on: conint(ge=1, le=20) = 20
extra_crit_dice: int = 0
ignore_crit: bool = False
reroll: Optional[conint(ge=1, le=20)] = None
talent: bool = False
srslots: bool = False
# character sync
sync_outbound: bool = True # avrae to upstream
sync_inbound: bool = True # upstream to avrae
@classmethod
def from_old_csettings(cls, d):
"""Returns a new CharacterSettings instance with all default options, updated by legacy csettings options."""
# for each key, get it from old or fall back to class default
old_settings = d.get('options', {})
return cls(color=old_settings.get('color', None),
embed_image=old_settings.get('embedimage') or True,
crit_on=old_settings.get('criton') or 20,
extra_crit_dice=old_settings.get('critdice') or 0,
ignore_crit=old_settings.get('ignorecrit') or False,
reroll=old_settings.get('reroll', None),
talent=old_settings.get('talent') or False,
srslots=old_settings.get('srslots') or False)
async def commit(self, mdb, character):
"""Commits the settings to the database for a given character."""
await mdb.characters.update_one(
{
"owner": character.owner,
"upstream": character.upstream
},
{
"$set": {
"options_v2": self.dict()
},
"$unset": {
"options": True
} # delete any old options - they should have been converted by now
})
class Entity(BaseModel):
id: conint(ge=0) = Field(...,
description="The unique identifier for an entity")
internalId: Optional[conint(ge=0)] = Field(
None,
description=
"The internal id of an entity : used in eggs metadata for example",
)
displayName: str = Field(..., description="The display name of an entity")
name: constr(regex=r"\S+") = Field(...,
description="The name of an entity")
type: str = Field(..., description="The type of an entity")
width: Optional[float] = Field(..., description="The width of the entity")
height: Optional[float] = Field(...,
description="The height of the entity")
category: Optional[str] = Field(
None, description="The category of an entity : a semantic category")
class RemoteClientSettings(BaseSettings):
token: str
threads_num: conint(ge=1) = 2 # type: ignore
read_timeout: int = 5
poll_timeout: int = 60
class Config:
env_prefix = 'REMOTE_'
class ColumnType(pydantic.BaseModel):
"""ColumnType.
"""
name: str
max_bytesize: Optional[pydantic.conint(ge=1)]
nullable: bool = True
default: Optional[str] = None
def query_collection(
query: Query,
limit: Optional[conint(ge=1, le=100)] = 20,
offset: Optional[conint(ge=0)] = 0,
user: Optional[Auth0User] = Security(guest_auth.get_user),
):
mongo_items = (
mongo.db[collection_name]
.find(query.dict(exclude_none=True))
.skip(offset)
.limit(limit)
)
return [
MainModel(**censor_item(mongo_item, user))
for mongo_item in mongo_items
]
class SettingsSchema(BaseModel):
suggested_bpm: Optional[conint(gt=60, lt=300)] = None
drift: Optional[conint(ge=0, lt=200)] = 15
@property
def max_bpm(self) -> int:
if self.suggested_bpm is not None:
return self.suggested_bpm + self.drift
else:
return 300
@property
def min_bpm(self) -> int:
if self.suggested_bpm is not None:
return self.suggested_bpm - self.drift
else:
return 60
"""**keepluggable** contains reusable code that stores files and images."""
from pydantic import BaseModel, conint, constr
AtLeastOneChar: constr = constr(min_length=1, strip_whitespace=True)
ZeroOrMore: conint = conint(gt=-1)
class Pydantic(BaseModel):
"""Base class for our validation models."""
class Config:
"""Controls the behaviour of pydantic."""
anystr_strip_whitespace = True
min_anystr_length = 1
