openquake.commands package¶
db command¶
dbserver command¶
engine command¶
- openquake.commands.engine.del_calculation(job_id, confirmed=False)[source]¶
Delete a calculation and all associated outputs.
- openquake.commands.engine.main(no_distribute=False, yes=False, upgrade_db=False, db_version=False, what_if_I_upgrade=False, list_hazard_calculations=False, list_risk_calculations=False, delete_uncompleted_calculations=False, multi=False, reuse_input=False, *, log_file=None, make_html_report=None, run=None, delete_calculation: Optional[int] = None, hazard_calculation_id: Optional[int] = None, list_outputs: Optional[int] = None, show_log=None, export_output=None, export_outputs=None, param='', config_file=None, exports='', log_level='info', sample_sources=False)[source]¶
Run a calculation using the traditional command line API
export command¶
info command¶
- openquake.commands.info.do_build_reports(directory)[source]¶
Walk the directory and builds pre-calculation reports for all the job.ini files found.
- openquake.commands.info.is_upper(func)[source]¶
True if the name of the function starts with an uppercase character
plot command¶
- openquake.commands.plot.main(what, calc_id: int = - 1, others: int = [], webapi=False, local=False)[source]¶
Generic plotter for local and remote calculations.
- openquake.commands.plot.make_figure_agg_curves(extractors, what)[source]¶
$ oq plot “agg_curves?kind=mean&loss_type=structural” -1
- openquake.commands.plot.make_figure_csq_curves(extractors, what)[source]¶
$ oq plot “csq_curves?agg_id=0&loss_type=structural&consequence=losses” -1
- openquake.commands.plot.make_figure_disagg(extractors, what)[source]¶
$ oq plot “disagg?kind=Mag&imt=PGA&poe_id=0”
- openquake.commands.plot.make_figure_effect_by_mag(extractors, what)[source]¶
$ oq plot “effect_by_mag?”
- openquake.commands.plot.make_figure_gridded_sources(extractors, what)[source]¶
$ oq plot “gridded_sources?task_no=0”
- openquake.commands.plot.make_figure_hcurves(extractors, what)[source]¶
$ oq plot “hcurves?kind=mean&imt=PGA&site_id=0”
- openquake.commands.plot.make_figure_hmaps(extractors, what)[source]¶
$ oq plot “hmaps?kind=mean&imt=PGA”
- openquake.commands.plot.make_figure_rups_by_mag_dist(extractors, what)[source]¶
$ oq plot “rups_by_mag_dist?”
- openquake.commands.plot.make_figure_rupture_info(extractors, what)[source]¶
$ oq plot “rupture_info?min_mag=6”
- openquake.commands.plot.make_figure_source_data(extractors, what)[source]¶
$ oq plot “source_data?taskno=XX”
- openquake.commands.plot.make_figure_sources(extractors, what)[source]¶
$ oq plot “sources?limit=100” $ oq plot “sources?source_id=1&source_id=2” $ oq plot “sources?code=A&code=N”
- openquake.commands.plot.make_figure_task_info(extractors, what)[source]¶
$ oq plot “task_info?kind=classical”
- openquake.commands.plot.make_figure_tot_curves(extractors, what)[source]¶
$ oq plot “tot_curves?loss_type=structural&kind=rlz-000&absolute=1”
- openquake.commands.plot.make_figure_uhs(extractors, what)[source]¶
$ oq plot “uhs?kind=mean&site_id=0”
purge command¶
- openquake.commands.purge.main(what, force=False)[source]¶
Remove calculations from the file system. If you want to remove everything, use oq reset.
sample command¶
- openquake.commands.sample.main(fname, reduction_factor: <openquake.hazardlib.valid.FloatRange object at 0x7f0bdfe1b730>)[source]¶
Produce a submodel from fname by sampling the nodes randomly. Supports source models, site models and exposure models. As a special case, it is also able to reduce .csv files by sampling the lines. This is a debugging utility to reduce large computations to small ones.
reset command¶
run command¶
- openquake.commands.run.main(job_ini, pdb=False, reuse_input=False, *, slowest: typing.Optional[int] = None, hc: typing.Optional[int] = None, param='', concurrent_tasks: typing.Optional[int] = None, exports: <openquake.hazardlib.valid.Choices object at 0x7f0be59cd1f0> = '', loglevel='info')[source]¶
Run a calculation
show command¶
show_attrs command¶
tidy command¶
to_hdf5 command¶
upgrade_nrml command¶
- openquake.commands.upgrade_nrml.get_vulnerability_functions_04(fname)[source]¶
Parse the vulnerability model in NRML 0.4 format.
- Parameters
fname – path of the vulnerability file
- Returns
a dictionary imt, taxonomy -> vulnerability function + vset