Reusable internal column names. Useful for referring to the the same column across multiple components.
ColNames
Class that enumerates all the column names.
Source code in multimno/core/constants/columns.py
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250 | class ColNames:
"""
Class that enumerates all the column names.
"""
user_id = "user_id"
partition_id = "partition_id"
timestamp = "timestamp"
mcc = "mcc"
mnc = "mnc"
plmn = "plmn"
cell_id = "cell_id"
latitude = "latitude"
longitude = "longitude"
error_flag = "error_flag"
transformation_flag = "transformation_flag"
affected_field = "affected_field"
domain = "domain"
is_last_event = "is_last_event" # 0: initial, 1: final
# default values for domain col
domestic = 1
inbound = 2
outbound = 3
altitude = "altitude"
antenna_height = "antenna_height"
directionality = "directionality"
azimuth_angle = "azimuth_angle"
elevation_angle = "elevation_angle"
horizontal_beam_width = "horizontal_beam_width"
vertical_beam_width = "vertical_beam_width"
power = "power"
range = "range"
frequency = "frequency"
technology = "technology"
valid_date_start = "valid_date_start"
valid_date_end = "valid_date_end"
cell_type = "cell_type"
loc_error = "loc_error"
event_id = "event_id"
year = "year"
month = "month"
day = "day"
user_id_modulo = "user_id_modulo"
# for QA by column
variable = "variable"
type_of_error = "type_of_error"
type_of_transformation = "type_of_transformation"
value = "value"
result_timestamp = "result_timestamp"
data_period_start = "data_period_start"
data_period_end = "data_period_end"
field_name = "field_name"
initial_frequency = "initial_frequency"
final_frequency = "final_frequency"
date = "date"
# warnings
# log table
measure_definition = "measure_definition"
lookback_period = "lookback_period"
daily_value = "daily_value"
condition_value = "condition_value"
condition = "condition"
warning_text = "warning_text"
# for plots
type_of_qw = "type_of_qw"
average = "average"
UCL = "UCL"
LCL = "LCL"
title = "title"
# top frequent errors
error_value = "error_value"
error_count = "error_count"
accumulated_percentage = "accumulated_percentage"
# for grid generation
geometry = "geometry"
grid_id = "grid_id"
elevation = "elevation"
land_use = "land_use"
type_code = "type_code"
prior_probability = "prior_probability"
ple_coefficient = "environment_ple_coefficient"
quadkey = "quadkey"
# device activity statistics
event_cnt = "event_cnt"
unique_cell_cnt = "unique_cell_cnt"
unique_location_cnt = "unique_location_cnt"
sum_distance_m = "sum_distance_m"
unique_hour_cnt = "unique_hour_cnt"
mean_time_gap = "mean_time_gap"
stdev_time_gap = "stdev_time_gap"
# signal
signal_strength = "signal_strength"
distance_to_cell = "distance_to_cell"
distance_to_cell_3D = "distance_to_cell_3D"
joined_geometry = "joined_geometry"
path_loss_exponent = "path_loss_exponent"
azimuth_signal_strength_back_loss = "azimuth_signal_strength_back_loss"
elevation_signal_strength_back_loss = "elevation_signal_strength_back_loss"
# for cell footprint
signal_dominance = "signal_dominance"
group_id = "group_id"
cells = "cells"
group_size = "group_size"
# cell footprint quality metrics
number_of_events = "number_of_events"
percentage_total_events = "percentage_total_events"
# Nearby cells and cell overlap
overlapping_cell_ids = "overlapping_cell_ids"
cell_id_a = "cell_id_a"
cell_id_b = "cell_id_b"
distance = "distance"
# time segments
time_segment_id = "time_segment_id"
start_timestamp = "start_timestamp"
end_timestamp = "end_timestamp"
state = "state"
is_last = "is_last"
# for cell connection probability
cell_connection_probability = "cell_connection_probability"
posterior_probability = "posterior_probability"
# dps (daily permanence score)
dps = "dps"
stay_duration = "stay_duration"
time_slot_initial_time = "time_slot_initial_time"
time_slot_end_time = "time_slot_end_time"
id_type = "id_type"
num_unknown_devices = "number_unknown_devices"
pct_unknown_devices = "percentage_unknown_devices"
# midterm permanence score
mps = "mps"
day_type = "day_type"
time_interval = "time_interval"
regularity_mean = "regularity_mean"
regularity_std = "regularity_std"
# longterm permanence score
lps = "lps"
total_frequency = "total_frequency"
frequency_mean = "frequency_mean"
frequency_std = "frequency_std"
start_date = "start_date"
end_date = "end_date"
season = "season"
# diaries
stay_type = "stay_type"
activity_type = "activity_type"
initial_timestamp = "initial_timestamp"
final_timestamp = "final_timestamp"
# present population
device_count = "device_count"
population = "population"
# zone to grid mapping
zone_id = "zone_id"
hierarchical_id = "hierarchical_id"
dataset_id = "dataset_id"
# for spatial data
category = "category"
zone_id = "zone_id"
level = "level"
parent_id = "parent_id"
iso2 = "iso2"
iso3 = "iso3"
name = "name"
dataset_id = "dataset_id"
hierarchical_id = "hierarchical_id"
eurostat_code = "eurostat_code"
timezone = "timezone"
# for usual environment labels
label = "label"
label_rule = "label_rule"
# for usual environment labeling quality metrics
labeling_quality_metric = "metric"
labeling_quality_count = "count"
labeling_quality_min = "min"
labeling_quality_max = "max"
labeling_quality_avg = "avg"
# for usual environment aggregation
weighted_device_count = "weighted_device_count"
tile_weight = "tile_weight"
device_tile_weight = "device_tile_weight"
# for tourism stays
zone_weight = "zone_weight"
is_overnight = "is_overnight"
zone_weights_list = "zone_weights_list"
zone_ids_list = "zone_ids_list"
# for tourism trips
trip_id = "trip_id"
visit_id = "visit_id"
trip_start_timestamp = "trip_start_timestamp"
time_segment_ids_list = "time_segment_ids_list"
is_trip_finished = "is_trip_finished"
time_period = "time_period"
country_of_origin = "country_of_origin"
avg_destinations = "avg_destinations"
avg_nights_spent_per_destination = "avg_nights_spent_per_destination"
geography_id = "geography_id"
nights_spent = "nights_spent"
num_of_departures = "num_of_departures"
country_of_destination = "country_of_destination"
# internal migration
previous_zone = "previous_zone"
new_zone = "new_zone"
migration = "migration"
start_date_previous = "start_date_previous"
end_date_previous = "end_date_previous"
season_previous = "season_previous"
start_date_new = "start_date_new"
end_date_new = "end_date_new"
season_new = "season_new"
# internal migration quality metrics
previous_home_users = "previous_home_users"
new_home_users = "new_home_users"
common_home_users = "common_home_users"
# estimation factors
deduplication_factor = "deduplication_factor"
mno_to_target_population_factor = "mno_to_target_population_factor"
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