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models.py
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models.py
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from pydantic import BaseModel, Field
class BaseAnalysisModel(BaseModel):
table: str = Field(
default=None, title="Name of the table to perform analysis on."
)
database: str = Field(
default=None, title="Name of the database the table belongs to."
)
class StatusResponseModel(BaseModel):
status: str = Field(
default="SUCCESS"
)
new_table_id: str = Field(
default="shnxppipxrppsdkozuroilkubktfodibtqorhucjvxlcdrqyhh",
title="50 character new table_id in postgresql."
)
completion_time: str = Field(
default="2022-07-06T19:33:17.950059"
)
run_time_in_seconds: float = Field(
default=1.78599
)
class BaseResponseModel(BaseModel):
process_id: str = Field(
default="472e29dc-91a8-41d3-b05f-cee34006e3f7"
)
url: str = Field(
default="http://127.0.0.1:8000/api/v1/analysis/status/472e29dc-91a8-41d3-b05f-cee34006e3f7"
)
class BadResponseModel(BaseModel):
status: str = Field(
default="FAILURE"
)
completion_time: str = Field(
default="2022-07-06T19:33:17.950059"
)
run_time_in_seconds: float = Field(
default=1.78599
)
class BufferModel(BaseModel):
table: str = Field(
default=None, title="Name of the table to perform analysis on."
)
database: str = Field(
default=None, title="Name of the database the table belongs to."
)
distance_in_kilometers: float = Field(
default=None, title="Size of buffer in kilometers."
)
class DissolveByValueModel(BaseModel):
table: str = Field(
default=None, title="Name of the table to perform analysis on."
)
database: str = Field(
default=None, title="Name of the database the table belongs to."
)
column: str = Field(
default=None, title="Column used to dissolve geometry."
)
class GridModel(BaseModel):
table: str = Field(
default=None, title="Name of the table to perform analysis on."
)
database: str = Field(
default=None, title="Name of the database the table belongs to."
)
grid_size_in_kilometers: float = Field(
default=None, title="Size of grids in kilometers."
)
class KMeansModel(BaseModel):
table: str = Field(
default=None, title="Name of the table to perform analysis on."
)
database: str = Field(
default=None, title="Name of the database the table belongs to."
)
number_of_clusters: int = Field(
default=None, title="Number of clusters to group points together."
)
class FindWithinDistanceModel(BaseModel):
table: str = Field(
default=None, title="Name of the table to perform analysis on."
)
database: str = Field(
default=None, title="Name of the database the table belongs to."
)
latitude: float = Field(
default=None, title="Starting Latitude."
)
longitude: float = Field(
default=None, title="Starting Latitude."
)
distance_in_kilometers: float = Field(
default=None, title="Size to search in kilometers."
)
class PolygonsModel(BaseModel):
table: str = Field(
default=None, title="Name of the table to perform analysis on."
)
database: str = Field(
default=None, title="Name of the database the table belongs to."
)
polygons: str = Field(
default=None, title="Name of the table of polygons."
)
class AggregatePointsByGridsModel(BaseModel):
table: str = Field(
default=None, title="Name of the table to perform analysis on."
)
database: str = Field(
default=None, title="Name of the database the table belongs to."
)
distance_in_kilometers: float = Field(
default=None, title="Size to search in kilometers."
)
grid_type: str = Field(
default=None, title="Type of grid to use."
)