leaf_engine.adapt.schema.adapt_input_schemas

Classes

`AdaptData`
`DBLaneRateSchema`
`DBLaneSchema`
`DBLaneSummary`
`KMAMarketSchema`
`LaneSchema`
`LaneSummarySchema`
`NetworkSchema`
`ShipmentsSchema`

Module Contents

class leaf_engine.adapt.schema.adapt_input_schemas.AdaptData

db_lane_context: DBLaneSummary

lane_context: LaneSchema

network_context: NetworkSchema

class leaf_engine.adapt.schema.adapt_input_schemas.DBLaneRateSchema

Bases: pandera.SchemaModel

class Config

coerce = True

name = 'DBLaneRateSchema'

strict = True

company_id: pandera.typing.Series[int]

equipment_class: pandera.typing.Series[str]

first_spend_date: pandera.typing.Series[pandera.DateTime]

index: pandera.typing.Index[int]

lane_id: pandera.typing.Series[str]

last_spend_date: pandera.typing.Series[pandera.DateTime]

mean_spend: pandera.typing.Series[float]

spend_loads: pandera.typing.Series[int]

class leaf_engine.adapt.schema.adapt_input_schemas.DBLaneSchema

Bases: pandera.SchemaModel

class Config

coerce = True

name = 'DBLaneSchema'

strict = True

all_loads_annual: pandera.typing.Series[float]

d_market: pandera.typing.Series[str]

dest_id: pandera.typing.Series[str]

equipment_class: pandera.typing.Series[str]

index: pandera.typing.Index[int]

lane_id: pandera.typing.Series[str]

o_market: pandera.typing.Series[str]

origin: pandera.typing.Series[str]

origin_id: pandera.typing.Series[str]

owner: pandera.typing.Series[str]

owner_name: pandera.typing.Series[str]

pcm_miles: pandera.typing.Series[float]

class leaf_engine.adapt.schema.adapt_input_schemas.DBLaneSummary

db_lane_rate: DBLaneRateSchema

db_lanes: DBLaneSchema

class leaf_engine.adapt.schema.adapt_input_schemas.KMAMarketSchema

Bases: pandera.SchemaModel

class Config

coerce = True

name = 'KMAMarketSchema'

strict = True

airportcode: pandera.typing.Series[str]

centroid: pandera.typing.Series[str]

index: pandera.typing.Index[int]

reference_city: pandera.typing.Series[str]

reference_state: pandera.typing.Series[str]

zip3: pandera.typing.Series[str]

class leaf_engine.adapt.schema.adapt_input_schemas.LaneSchema

kma_markets: KMAMarketSchema

lane_summary: LaneSummarySchema

raw_shipments: ShipmentsSchema

class leaf_engine.adapt.schema.adapt_input_schemas.LaneSummarySchema

Bases: pandera.SchemaModel

class Config

coerce = True

name = 'LaneSummarySchema'

strict = True

average_is_positive(df: pandas.DataFrame) → pandera.typing.Series[bool]

Parameters:: df (pandas.DataFrame) –
Return type:: pandera.typing.Series[bool]

all_loads_annual: pandera.typing.Series[float]

annualization_factor: pandera.typing.Series[str]

class_loads_window: pandera.typing.Series[int]

d_market: pandera.typing.Series[str]

d_pt: pandera.typing.Series[int]

d_zip: pandera.typing.Series[int]

dest: pandera.typing.Series[str]

index: pandera.typing.Index[int]

lane: pandera.typing.Series[str]

lane_id: pandera.typing.Series[str]

linehaul_zero_peg: pandera.typing.Series[float]

o_market: pandera.typing.Series[str]

o_pt: pandera.typing.Series[int]

o_zip: pandera.typing.Series[str]

origin: pandera.typing.Series[str]

owner: pandera.typing.Series[str]

owner_name: pandera.typing.Series[str]

pcm_lane_path: pandera.typing.Series[int]

pcm_miles: pandera.typing.Series[float]

period: pandera.typing.Series[pandas.Timestamp]

window_days: pandera.typing.Series[int]

class leaf_engine.adapt.schema.adapt_input_schemas.NetworkSchema

Bases: pandera.SchemaModel

class Config

coerce = True

name = 'NetworkSchema'

strict = True

class_loads_annual: pandera.typing.Series[float]

d_pt: pandera.typing.Series[str]

index: pandera.typing.Index[int]

lane_id: pandera.typing.Series[str]

o_pt: pandera.typing.Series[str]

owner: pandera.typing.Series[int]

owner_name: pandera.typing.Series[str]

pcm_miles: pandera.typing.Series[float]

class leaf_engine.adapt.schema.adapt_input_schemas.ShipmentsSchema

Bases: pandera.SchemaModel

class Config

coerce = True

name = 'ShipmentsSchema'

accessorials: pandera.typing.Series[float]

all_loads_annual: pandera.typing.Series[float]

all_loads_window: pandera.typing.Series[int]

annualization_factor: pandera.typing.Series[float]

base_business_days: pandera.typing.Series[float]

base_weekly: pandera.typing.Series[float]

carrier_type: pandera.typing.Series[str]

class_loads_annual: pandera.typing.Series[float]

class_loads_window: pandera.typing.Series[int]

d_address: pandera.typing.Series[str]

d_city: pandera.typing.Series[str]

d_market: pandera.typing.Series[str]

d_pt: pandera.typing.Series[int]

d_site: pandera.typing.Series[str]

d_state: pandera.typing.Series[str]

d_zip: pandera.typing.Series[str]

dest: pandera.typing.Series[str]

equipment_class: pandera.typing.Series[str]

equipment_type: pandera.typing.Series[str]

exclude_shipment: pandera.typing.Series[bool]

fuel_peg: pandera.typing.Series[int]

fuel_surcharge: pandera.typing.Series[int]

index: pandera.typing.Index[int]

lane: pandera.typing.Series[str]

lane_id: pandera.typing.Series[str]

linehaul: pandera.typing.Series[float]

linehaul_zero_peg: pandera.typing.Series[float]

load_type: pandera.typing.Series[str]

month: pandera.typing.Series[int]

move_type: pandera.typing.Series[str]

o_address: pandera.typing.Series[str]

o_city: pandera.typing.Series[str]

o_market: pandera.typing.Series[str]

o_pt: pandera.typing.Series[int]

o_site: pandera.typing.Series[str]

o_state: pandera.typing.Series[str]

o_zip: pandera.typing.Series[str]

origin: pandera.typing.Series[str]

owner: pandera.typing.Series[int]

owner_name: pandera.typing.Series[str]

pcm_hours: pandera.typing.Series[float]

pcm_lane_path: pandera.typing.Series[int]

pcm_miles: pandera.typing.Series[float]

period: pandera.typing.Series[pandas.Timestamp]

protection: pandera.typing.Series[str]

rate_type: pandera.typing.Series[str]

rounded_linehaul: pandera.typing.Series[float]

rpm_pcm: pandera.typing.Series[float]

scac: pandera.typing.Series[str]

shipment_id: pandera.typing.Series[str]

spend: pandera.typing.Series[float]

week: pandera.typing.Series[int]

weekly_pattern: pandera.typing.Series[str]

window_days: pandera.typing.Series[int]

year: pandera.typing.Series[int]