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Snakefile
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VTYPES = ['Fishing', 'Other', 'Cargo', 'Passenger', 'Tanker']
BOUNDS = ['full', 'auck', 'camp', 'anti']
def all_files(start, end, interval=3):
timestamps = [f'data/timestamps/filtered_timestamps_{bound}_{start}_{end}_{interval}.parquet' for bound in BOUNDS]
frame_nos = [f'data/timestamps/frame_numbers_{bound}_{start}_{end}_{interval}.json' for bound in BOUNDS]
vessel_pts_final = [f'data/intermediate/vessel_pts_final_{bound}_{start}_{end}.parquet' for bound in BOUNDS]
whale_pts_final = [f'data/intermediate/whale_pts_final_{bound}_{start}_{end}.parquet' for bound in BOUNDS]
vessel_seg_final = [f'data/intermediate/vessel_seg_final_{bound}_{start}_{end}.parquet' for bound in BOUNDS]
whale_seg_final = [f'data/intermediate/whale_seg_final_{bound}_{start}_{end}.parquet' for bound in BOUNDS]
return [
f'data/intermediate/vessel_pts_final_{start}_{end}.parquet',
f'data/intermediate/whale_pts_final_{start}_{end}.parquet',
f'data/intermediate/vessel_seg_final_{start}_{end}.parquet',
f'data/intermediate/whale_seg_final_{start}_{end}.parquet',
f'data/intermediate/vessel_encounters_final_{start}_{end}.parquet',
f'data/intermediate/whale_encounters_final_{start}_{end}.parquet',
'data/intermediate/protected_final.parquet',
'data/intermediate/basemap_final.parquet',
*timestamps,
*frame_nos,
*vessel_pts_final,
*whale_pts_final,
*vessel_seg_final,
*whale_seg_final,
f'frame_gen_{start}_{end}_{interval}.sh',
f'ffmpeg_commands_{start}_{end}_{interval}.sh',
f'ffmpeg_commands_{start}_{end}_{interval}_enc.sh'
]
wildcard_constraints:
# date format: YYYY-MM-DD
start = '[0-9]{4}-[0-9]{2}-[0-9]{2}',
end = '[0-9]{4}-[0-9]{2}-[0-9]{2}',
bounds = '[a-z]*',
interval = '[0-9]*'
rule all:
# Full files required by frame generation
input:
*all_files('2020-07-01', '2023-06-30')
rule test:
# Small output files used by testing code
input:
*all_files('2020-08-01', '2020-08-30')
# Timestamps
rule filtered_timestamps:
input:
whales='data/intermediate/whale_pts_final_{bounds}_{start}_{end}.parquet',
vessels='data/intermediate/vessel_pts_final_{bounds}_{start}_{end}.parquet'
output:
'data/timestamps/filtered_timestamps_{bounds}_{start}_{end}_{interval}.parquet'
params:
no_vessel_interval=20 # Show every nth frame if no vessels present. Set to None/0 for same speed as no whales
script:
'snakemake/filtered_timestamps.py'
# Given filtered timestamps and date ranges, calculate the frame numbers from which to generate videos
rule frame_numbers:
input:
'data/timestamps/filtered_timestamps_{bounds}_{start}_{end}_{interval}.parquet',
output:
'data/timestamps/frame_numbers_{bounds}_{start}_{end}_{interval}.json'
script:
'snakemake/frame_numbers.py'
def all_frame_numbers(bounds):
return {
bds: f'data/timestamps/frame_numbers_{bds}_{{start}}_{{end}}_{{interval}}.json'
for bds in BOUNDS
}
rule frame_gen_sh:
input:
**all_frame_numbers(BOUNDS)
output:
'frame_gen_{start}_{end}_{interval}.sh'
params:
frame_dir='/pvol/frames'
script:
'snakemake/frame_gen_sh.py'
# Generate ffmpeg commands for each video
rule ffmpeg_sh:
input:
**all_frame_numbers(BOUNDS)
output:
'ffmpeg_commands_{start}_{end}_{interval}.sh'
params:
frame_dir='/pvol/frames',
output_dir='output/'
script:
'snakemake/ffmpeg_sh.py'
rule ffmpeg_sh_enc:
input:
**all_frame_numbers(BOUNDS)
output:
'ffmpeg_commands_{start}_{end}_{interval}_enc.sh'
params:
frame_dir='/pvol/frames_enc',
output_dir='output_enc/'
script:
'snakemake/ffmpeg_sh.py'
# Vessel data pre-processing: initial cleaning, interpolation, snap to coast, and segment
rule clean_vessel_data:
input:
'data/vessels/AIS_3_29_filtered.gpkg'
output:
expand('data/vessels/{vtype}_points.gpkg', vtype=VTYPES)
script:
'snakemake/clean_vessel_data.py'
# rule vessel_points_to_coast:
# input:
# 'data/vessels/{vtype}_points.gpkg'
# output:
# 'data/vessels/{vtype}_points_coast.gpkg'
# script:
# 'snakemake/snap_points_to_coast_vessels.py'
rule vessel_segments:
input:
expand('data/vessels/{vtype}_points_coast.gpkg', vtype=VTYPES)
output:
temp('data/intermediate/vessel_segments_{start}_{end}.gpkg')
params:
grouper='callsign'
script:
'snakemake/points_to_segments.py'
# Whale data pre-processing: snap to coast and segment
# rule whale_points_to_coast:
# input:
# 'data/whales/df_all_3.csv',
# 'data/vessels/fishing_all.gpkg' # Required for bounds
# output:
# 'data/whales/whales_coast.gpkg'
# script:
# 'snakemake/snap_points_to_coast_whales.py'
rule whale_segments:
input:
'data/whales/whales_coast.gpkg'
output:
temp('data/intermediate/whale_segments_{start}_{end}.gpkg')
params:
grouper='id'
script:
'snakemake/points_to_segments.py'
# Encounters
rule encounters:
input:
vessels=expand('data/vessels/{vtype}_points_coast.gpkg', vtype=VTYPES),
whales='data/whales/whales_coast.gpkg',
output:
temp('data/intermediate/{source}_encounters_{start}_{end}.gpkg')
script:
'snakemake/encounters.py'
# Final data pre-processing: mask dates, convert crs, fix dateline, convert to parquet format
rule vessel_pts_final:
input:
data=expand('data/vessels/{vtype}_points_coast.gpkg', vtype=VTYPES),
bounds='data/bounds.json'
output:
temp('data/intermediate/vessel_pts_final_{bounds}_{start}_{end}.gpkg',)
script:
'snakemake/masked_data_final.py'
rule whale_pts_final:
input:
data='data/whales/whales_coast.gpkg',
bounds='data/bounds.json'
output:
temp('data/intermediate/whale_pts_final_{bounds}_{start}_{end}.gpkg',)
script:
'snakemake/masked_data_final.py'
rule vessel_seg_final:
input:
data='data/intermediate/vessel_segments_{start}_{end}.gpkg',
bounds='data/bounds.json'
output:
temp('data/intermediate/vessel_seg_final_{bounds}_{start}_{end}.gpkg')
script:
'snakemake/masked_data_final.py'
rule whale_seg_final:
input:
data='data/intermediate/whale_segments_{start}_{end}.gpkg',
bounds='data/bounds.json'
output:
temp('data/intermediate/whale_seg_final_{bounds}_{start}_{end}.gpkg')
script:
'snakemake/masked_data_final.py'
rule encounters_final:
input:
'data/intermediate/{source}_encounters_{start}_{end}.gpkg',
output:
temp('data/intermediate/{source}_encounters_final_{start}_{end}.gpkg')
script:
'snakemake/masked_data_final.py'
rule unmasked_data_to_crs:
input:
imma = 'data/imma_hr.gpkg',
mpa = 'data/mpa3851.gpkg',
basemap = 'data/linz_coastlines/nz-coastlines-and-islands-polygons-topo-150k.gpkg',
output:
protected_areas = temp('data/intermediate/protected_final.gpkg'),
basemap = temp('data/intermediate/basemap_final.gpkg')
script:
'snakemake/unmasked_data_final.py'
rule to_parquet:
input:
'data/intermediate/{file}.gpkg',
output:
'data/intermediate/{file}.parquet',
script:
'snakemake/to_parquet.py'