def make_dashboards(data_sources, buckets, times):
os.makedirs(get_dashboards_dir(), exist_ok=True)
min_time = datetime.datetime.fromtimestamp(times[0] / 1000.0)
max_time = datetime.datetime.fromtimestamp(times[1] / 1000.0)
template_params = \
[{'type': 'data-source-name', 'values': data_sources},
{'type': 'bucket', 'values': buckets}]
meta_file_names = glob.glob(
path.join(util.get_root_dir(), 'dashboards', '*.json'))
for meta_file_name in meta_file_names:
with open(meta_file_name, 'r') as meta_file:
meta = json.loads(meta_file.read())
base_file_name = path.basename(meta_file_name)
dash = dashboard.make_dashboard(meta, template_params, min_time,
max_time)
dash['uid'] = base_file_name[:-len('.json')]
with open(path.join(get_dashboards_dir(), base_file_name),
'w') as file:
file.write(json.dumps(dash, indent=2))
def make_dashboards(stats_sources, buckets, min_time_string, max_time_string,
refresh_string):
os.makedirs(get_dashboards_dir(), exist_ok=True)
data_sources = [s.short_name() for s in stats_sources]
template_params = \
[{'type': 'data-source-name', 'values': data_sources},
{'type': 'bucket', 'values': buckets}]
meta_file_names = glob.glob(
path.join(util.get_root_dir(), 'dashboards', '*.json'))
for meta_file_name in meta_file_names:
with open(meta_file_name, 'r') as meta_file:
meta = json.loads(meta_file.read())
base_file_name = path.basename(meta_file_name)
dash = dashboard.make_dashboard(meta, template_params,
min_time_string, max_time_string,
refresh_string)
dash['uid'] = base_file_name[:-len('.json')]
with open(path.join(get_dashboards_dir(), base_file_name),
'w') as file:
file.write(json.dumps(dash, indent=2))
from pathlib import Path
from loading import load_csv_results as load
from wafer_data_wrangling import wafer_wrangling
from particle_data_wrangling import particle_melting
from dashboard import make_dashboard
import settings
inPath = Path('../results_csv/')
outPath = Path('../figures/')
wafer_results, particle_results, particle_snips = load(inPath)
molten_particles = particle_melting(particle_results)
waffles, wafer_images = wafer_wrangling(wafer_results, molten_particles)
report = settings.reports.GLMparams
if __name__ == '__main__':
make_dashboard(waffles, molten_particles, particle_snips, wafer_images, outPath)